From dcc185a10b37758317c9a8084154d2ed8eacdc25 Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Tue, 20 Jul 2021 14:51:52 -0400 Subject: [PATCH 01/13] Add `base` module for base experiment, analysis Also simplify the formatting of the top level init file by converting modules to a table. --- docs/apidocs/index.rst | 1 + docs/apidocs/mod_base.rst | 6 ++ qiskit_experiments/__init__.py | 93 ++++++------------- qiskit_experiments/analysis/curve_analysis.py | 2 +- qiskit_experiments/base/__init__.py | 88 ++++++++++++++++++ .../{ => base}/base_analysis.py | 4 +- .../{ => base}/base_experiment.py | 5 +- .../composite/composite_analysis.py | 2 +- .../composite/composite_experiment.py | 2 +- .../library/calibration/drag.py | 2 +- .../library/calibration/fine_amplitude.py | 2 +- .../library/calibration/rabi.py | 2 +- .../characterization/qubit_spectroscopy.py | 2 +- .../library/characterization/t1.py | 2 +- .../library/characterization/t1_analysis.py | 2 +- .../library/characterization/t2ramsey.py | 2 +- .../characterization/t2ramsey_analysis.py | 2 +- .../library/quantum_volume/qv_analysis.py | 2 +- .../library/quantum_volume/qv_experiment.py | 2 +- .../randomized_benchmarking/rb_experiment.py | 2 +- .../library/tomography/qpt_analysis.py | 2 +- .../library/tomography/qst_analysis.py | 2 +- .../library/tomography/tomography_analysis.py | 2 +- .../tomography/tomography_experiment.py | 2 +- test/fake_experiment.py | 4 +- 25 files changed, 147 insertions(+), 90 deletions(-) create mode 100644 docs/apidocs/mod_base.rst create mode 100644 qiskit_experiments/base/__init__.py rename qiskit_experiments/{ => base}/base_analysis.py (99%) rename qiskit_experiments/{ => base}/base_experiment.py (99%) diff --git a/docs/apidocs/index.rst b/docs/apidocs/index.rst index 0aff5e6963..f28db224dd 100644 --- a/docs/apidocs/index.rst +++ b/docs/apidocs/index.rst @@ -16,6 +16,7 @@ Utility Modules .. toctree:: :maxdepth: 1 + mod_base mod_analysis mod_calibration_management mod_composite diff --git a/docs/apidocs/mod_base.rst b/docs/apidocs/mod_base.rst new file mode 100644 index 0000000000..03a4b58da0 --- /dev/null +++ b/docs/apidocs/mod_base.rst @@ -0,0 +1,6 @@ +.. _qiskit-experiments-base: + +.. automodule:: qiskit_experiments.base + :no-members: + :no-inherited-members: + :no-special-members: \ No newline at end of file diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index b314620cdc..2f5922bc00 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -24,91 +24,54 @@ encounter any bugs please open an issue on `Github `_ -Modules +Classes ======= -Experiment Library -****************** - -The :mod:`qiskit_experiments.library` module contains a list of available -experiments. - -Experiment Utility Modules --------------------------- - -Certain experiments also have additional utilities contained which can be -accessed by importing the following modules. - -- :mod:`qiskit_experiments.library.calibration` -- :mod:`qiskit_experiments.library.characterization` -- :mod:`qiskit_experiments.library.randomized_benchmarking` -- :mod:`qiskit_experiments.library.tomography` - -Analysis -******** - -This :mod:`qiskit_experiments.analysis` module contains utility functions for -analysis experiment data. - -Data Processing -*************** - -This :mod:`qiskit_experiments.data_processing` module contains tools for processing -experiment measurement data. - -Calibration Management -********************** - -This :mod:`qiskit_experiments.calibration_management` module contains classes -for managing calibration experiment result data. - -Database Service -**************** - -This :mod:`qiskit_experiments.database_service` module contains classes for saving -and retrieving experiment and analysis results from a database. - -Experiment Data Classes -======================= - -These container classes store the data and results from running experiments - .. autosummary:: :toctree: ../stubs/ ExperimentData - -Composite Experiment Classes -============================ - -.. autosummary:: - :toctree: ../stubs/ - ~composite.BatchExperiment ~composite.ParallelExperiment -Experiment Base Classes -======================= +Modules +======= -Construction of custom experiments should be done by making subclasses of the following -base classes +.. list-table:: + + * - :mod:`~qiskit_experiments.library` + - Library of available experiments. + * - :mod:`~qiskit_experiments.data_processing` + - Tools for building data processor workflows of experiment + measurement data. + * - :mod:`~qiskit_experiments.calibration_management` + - Classes for managing calibration experiment result data. + * - :mod:`~qiskit_experiments.database_service` + - Classes for saving and retrieving experiment and analysis results + from a database. + * - :mod:`~qiskit_experiments.analysis` + - Utility functions for analysis *Note: this module will be + restructured soon.* + * - :mod:`~qiskit_experiments.base` + - Abstract base classes for experiments and analysis. -.. autosummary:: - :toctree: ../stubs/ +Certain experiments also have additional utilities contained which can be +accessed by importing the following modules. - BaseExperiment - BaseAnalysis +- :mod:`qiskit_experiments.library.calibration` +- :mod:`qiskit_experiments.library.characterization` +- :mod:`qiskit_experiments.library.randomized_benchmarking` +- :mod:`qiskit_experiments.library.tomography` """ from .version import __version__ -# Base Classes from .experiment_data import ExperimentData -from .base_analysis import BaseAnalysis -from .base_experiment import BaseExperiment + from .composite import BatchExperiment, ParallelExperiment # Modules +from . import base from . import library from . import analysis from . import calibration_management diff --git a/qiskit_experiments/analysis/curve_analysis.py b/qiskit_experiments/analysis/curve_analysis.py index 91bdc4969b..ae1d778f8b 100644 --- a/qiskit_experiments/analysis/curve_analysis.py +++ b/qiskit_experiments/analysis/curve_analysis.py @@ -29,7 +29,7 @@ CurveAnalysisResultData, ) from qiskit_experiments.analysis.utils import get_opt_value, get_opt_error -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.data_processing import DataProcessor from qiskit_experiments.data_processing.exceptions import DataProcessorError from qiskit_experiments.exceptions import AnalysisError diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py new file mode 100644 index 0000000000..50c49dd857 --- /dev/null +++ b/qiskit_experiments/base/__init__.py @@ -0,0 +1,88 @@ +# This code is part of Qiskit. +# +# (C) Copyright IBM 2021. +# +# This code is licensed under the Apache License, Version 2.0. You may +# obtain a copy of this license in the LICENSE.txt file in the root directory +# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. +# +# Any modifications or derivative works of this code must retain this +# copyright notice, and modified files need to carry a notice indicating +# that they have been altered from the originals. + +""" +======================================================== +Experiment Base Classes (:mod:`qiskit_experiments.base`) +======================================================== + +.. currentmodule:: qiskit_experiments.base + +Classes +======= + +.. autosummary:: + :toctree: ../stubs/ + + BaseExperiment + BaseAnalysis + Options + +Creating Experiments +==================== + +Experiments and analysis of experiment data is done by subclassing the +:class:`BaseExperiment` and :class:`BaseAnalysis` classes. + +Experiment Subclasses +********************* + +To create an experiment subclass + +- Implement the abstract :meth:`BaseExperiment.circuits` method. + This should return a list of ``QuantumCircuit`` objects defining + the experiment payload. +- Call the :meth:`BaseExperiment.__init__` method during the subclass + constructor with a list of physical qubits. The length of this list must + be equal to the number of qubits in each circuit and is used to map these + circuits to this layout during execution. +- Set :attr:`BaseExperiment.__analysis_class__` class attribute to + specify the :class:`BaseAnalysis` subclass for analyzing result data. + +Optionally the following methods can also be overridden in the subclass to +allow configuring various experiment and execution options + +- :meth:`BaseExperiment._default_experiment_options` + to set default values for configurable option parameters for the experiment. +- :meth:`BaseExperiment._default_analysis_options` + to set default values for configurable options for the experiments analysis class. +- :meth:`BaseExperiment._default_transpile_options` + to set custom default values for the ``qiskit.transpile`` used to + transpile the generated circuits before execution. +- :meth:`BaseExperiment._default_run_options` + to set default backend options for running the transpiled circuits on a backend. +- :meth:`BaseExperiment._post_process_transpiled_circuits` + to implement any post-processing of the transpiled circuits before execution. +- :meth:`BaseExperiment._additional_metadata` + to add any experiment metadata to the result data. + +Analysis Subclasses +******************* + +To create an analysis subclass one only needs to implement the abstract +:meth:`BaseAnalysis._run_analysis` method. This method takes a +:class:`ExperimentData` container and kwarg analysis options. If any +kwargs are used the :meth:`BaseAnalysis._default_options` method should be +overriden to define default values for these options. + +The :meth:`BaseAnalysis._run_analysis` method should return a pair +``(result_data, figures)`` where ``result_data`` is a list of +:class:`AnalysisResultData` and``figures`` is a list of +:class:`matplotlib.figure.Figure`. + +The :mod:`qiskit_experiments.data_processing` module contains classes for +building data processor workflows to help with advanced analysis of +experiment data. +""" +from qiskit.providers.options import Options +from .base_analysis import BaseAnalysis +from .base_experiment import BaseExperiment diff --git a/qiskit_experiments/base_analysis.py b/qiskit_experiments/base/base_analysis.py similarity index 99% rename from qiskit_experiments/base_analysis.py rename to qiskit_experiments/base/base_analysis.py index 8de1664325..03cb92c422 100644 --- a/qiskit_experiments/base_analysis.py +++ b/qiskit_experiments/base/base_analysis.py @@ -20,13 +20,13 @@ from qiskit.providers.options import Options from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.experiment_data import ExperimentData from qiskit_experiments.database_service import DbAnalysisResultV1 from qiskit_experiments.database_service.device_component import Qubit +from qiskit_experiments.experiment_data import ExperimentData class BaseAnalysis(ABC): - """Base Analysis class for analyzing Experiment data. + """Abstract base class for analyzing Experiment data. The data produced by experiments (i.e. subclasses of BaseExperiment) are analyzed with subclasses of BaseExperiment. The analysis is diff --git a/qiskit_experiments/base_experiment.py b/qiskit_experiments/base/base_experiment.py similarity index 99% rename from qiskit_experiments/base_experiment.py rename to qiskit_experiments/base/base_experiment.py index df49349115..e12b6a0f52 100644 --- a/qiskit_experiments/base_experiment.py +++ b/qiskit_experiments/base/base_experiment.py @@ -25,12 +25,11 @@ from qiskit.providers.basebackend import BaseBackend as LegacyBackend from qiskit.exceptions import QiskitError from qiskit.qobj.utils import MeasLevel - -from .experiment_data import ExperimentData +from qiskit_experiments.experiment_data import ExperimentData class BaseExperiment(ABC): - """Base Experiment class + """Abstract base class for experiments. Class Attributes: diff --git a/qiskit_experiments/composite/composite_analysis.py b/qiskit_experiments/composite/composite_analysis.py index cdc0d75ab0..bcb0bc0cf6 100644 --- a/qiskit_experiments/composite/composite_analysis.py +++ b/qiskit_experiments/composite/composite_analysis.py @@ -14,7 +14,7 @@ """ from qiskit.exceptions import QiskitError -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.experiment_data import AnalysisResultData from qiskit_experiments.composite.composite_experiment_data import CompositeExperimentData diff --git a/qiskit_experiments/composite/composite_experiment.py b/qiskit_experiments/composite/composite_experiment.py index d22ba9c53f..cb6cfb2ce8 100644 --- a/qiskit_experiments/composite/composite_experiment.py +++ b/qiskit_experiments/composite/composite_experiment.py @@ -16,7 +16,7 @@ from abc import abstractmethod import warnings -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from .composite_experiment_data import CompositeExperimentData from .composite_analysis import CompositeAnalysis diff --git a/qiskit_experiments/library/calibration/drag.py b/qiskit_experiments/library/calibration/drag.py index 5d6a87ea81..c3f0c3cf19 100644 --- a/qiskit_experiments/library/calibration/drag.py +++ b/qiskit_experiments/library/calibration/drag.py @@ -22,7 +22,7 @@ import qiskit.pulse as pulse from qiskit.providers.options import Options -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.exceptions import CalibrationError from qiskit_experiments.library.calibration.analysis.drag_analysis import DragCalAnalysis diff --git a/qiskit_experiments/library/calibration/fine_amplitude.py b/qiskit_experiments/library/calibration/fine_amplitude.py index 45a1706eb6..a5a09fb5b8 100644 --- a/qiskit_experiments/library/calibration/fine_amplitude.py +++ b/qiskit_experiments/library/calibration/fine_amplitude.py @@ -22,7 +22,7 @@ from qiskit.providers.options import Options from qiskit.pulse.schedule import ScheduleBlock -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.library.calibration.analysis.fine_amplitude_analysis import ( FineAmplitudeAnalysis, ) diff --git a/qiskit_experiments/library/calibration/rabi.py b/qiskit_experiments/library/calibration/rabi.py index 948ac9e78a..92a51a018b 100644 --- a/qiskit_experiments/library/calibration/rabi.py +++ b/qiskit_experiments/library/calibration/rabi.py @@ -22,7 +22,7 @@ import qiskit.pulse as pulse from qiskit.providers.options import Options -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.library.calibration.analysis.oscillation_analysis import OscillationAnalysis from qiskit_experiments.exceptions import CalibrationError diff --git a/qiskit_experiments/library/characterization/qubit_spectroscopy.py b/qiskit_experiments/library/characterization/qubit_spectroscopy.py index e6770354f9..6f9ff84d46 100644 --- a/qiskit_experiments/library/characterization/qubit_spectroscopy.py +++ b/qiskit_experiments/library/characterization/qubit_spectroscopy.py @@ -24,7 +24,7 @@ from qiskit.providers.options import Options from qiskit.qobj.utils import MeasLevel -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.library.characterization.resonance_analysis import ResonanceAnalysis diff --git a/qiskit_experiments/library/characterization/t1.py b/qiskit_experiments/library/characterization/t1.py index b3401dfeaa..b94df08635 100644 --- a/qiskit_experiments/library/characterization/t1.py +++ b/qiskit_experiments/library/characterization/t1.py @@ -20,7 +20,7 @@ from qiskit.circuit import QuantumCircuit from qiskit.providers.options import Options -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.library.characterization.t1_analysis import T1Analysis diff --git a/qiskit_experiments/library/characterization/t1_analysis.py b/qiskit_experiments/library/characterization/t1_analysis.py index cfa5822057..515970d19b 100644 --- a/qiskit_experiments/library/characterization/t1_analysis.py +++ b/qiskit_experiments/library/characterization/t1_analysis.py @@ -19,7 +19,7 @@ from qiskit.providers.options import Options from qiskit.utils import apply_prefix -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.analysis.curve_fitting import ( process_curve_data, curve_fit, diff --git a/qiskit_experiments/library/characterization/t2ramsey.py b/qiskit_experiments/library/characterization/t2ramsey.py index 24aae22618..23e54824e3 100644 --- a/qiskit_experiments/library/characterization/t2ramsey.py +++ b/qiskit_experiments/library/characterization/t2ramsey.py @@ -19,7 +19,7 @@ import qiskit from qiskit.providers import Backend from qiskit.circuit import QuantumCircuit -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from .t2ramsey_analysis import T2RamseyAnalysis diff --git a/qiskit_experiments/library/characterization/t2ramsey_analysis.py b/qiskit_experiments/library/characterization/t2ramsey_analysis.py index 011037e4ca..2aab872045 100644 --- a/qiskit_experiments/library/characterization/t2ramsey_analysis.py +++ b/qiskit_experiments/library/characterization/t2ramsey_analysis.py @@ -18,7 +18,7 @@ from qiskit.utils import apply_prefix from qiskit.providers.options import Options -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.analysis.curve_fitting import ( curve_fit, process_curve_data, diff --git a/qiskit_experiments/library/quantum_volume/qv_analysis.py b/qiskit_experiments/library/quantum_volume/qv_analysis.py index a5dad87636..30af0cb6d5 100644 --- a/qiskit_experiments/library/quantum_volume/qv_analysis.py +++ b/qiskit_experiments/library/quantum_volume/qv_analysis.py @@ -18,7 +18,7 @@ from typing import Optional import numpy as np -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.experiment_data import AnalysisResultData from qiskit_experiments.analysis import plotting diff --git a/qiskit_experiments/library/quantum_volume/qv_experiment.py b/qiskit_experiments/library/quantum_volume/qv_experiment.py index 5e5da35042..35047fcc52 100644 --- a/qiskit_experiments/library/quantum_volume/qv_experiment.py +++ b/qiskit_experiments/library/quantum_volume/qv_experiment.py @@ -28,7 +28,7 @@ from qiskit import QuantumCircuit from qiskit.circuit.library import QuantumVolume as QuantumVolumeCircuit from qiskit import transpile -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from .qv_analysis import QuantumVolumeAnalysis diff --git a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py index e805ac54f0..ec51687c21 100644 --- a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py +++ b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py @@ -23,7 +23,7 @@ from qiskit.providers.options import Options from qiskit.circuit import Gate -from qiskit_experiments.base_experiment import BaseExperiment +from qiskit_experiments.base import BaseExperiment from qiskit_experiments.analysis.data_processing import probability from qiskit_experiments.composite import ParallelExperiment from .rb_analysis import RBAnalysis diff --git a/qiskit_experiments/library/tomography/qpt_analysis.py b/qiskit_experiments/library/tomography/qpt_analysis.py index 709d6fb601..98383600cd 100644 --- a/qiskit_experiments/library/tomography/qpt_analysis.py +++ b/qiskit_experiments/library/tomography/qpt_analysis.py @@ -12,7 +12,7 @@ """ Quantum process tomography analysis """ -from qiskit_experiments.base_analysis import Options +from qiskit_experiments.base import Options from .basis import PauliMeasurementBasis, PauliPreparationBasis from .tomography_analysis import TomographyAnalysis diff --git a/qiskit_experiments/library/tomography/qst_analysis.py b/qiskit_experiments/library/tomography/qst_analysis.py index 74722bd00b..7f7d61caa9 100644 --- a/qiskit_experiments/library/tomography/qst_analysis.py +++ b/qiskit_experiments/library/tomography/qst_analysis.py @@ -12,7 +12,7 @@ """ Quantum state tomography analysis """ -from qiskit_experiments.base_analysis import Options +from qiskit_experiments.base import Options from .basis import PauliMeasurementBasis from .tomography_analysis import TomographyAnalysis diff --git a/qiskit_experiments/library/tomography/tomography_analysis.py b/qiskit_experiments/library/tomography/tomography_analysis.py index f45eb9152b..dc6557a543 100644 --- a/qiskit_experiments/library/tomography/tomography_analysis.py +++ b/qiskit_experiments/library/tomography/tomography_analysis.py @@ -25,7 +25,7 @@ from qiskit.quantum_info.operators.channel.quantum_channel import QuantumChannel from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.base_analysis import BaseAnalysis, Options +from qiskit_experiments.base import BaseAnalysis, Options from qiskit_experiments.experiment_data import AnalysisResultData from .fitters import ( linear_inversion, diff --git a/qiskit_experiments/library/tomography/tomography_experiment.py b/qiskit_experiments/library/tomography/tomography_experiment.py index c39c012aa2..a096f0c829 100644 --- a/qiskit_experiments/library/tomography/tomography_experiment.py +++ b/qiskit_experiments/library/tomography/tomography_experiment.py @@ -22,7 +22,7 @@ from qiskit.quantum_info.operators.base_operator import BaseOperator import qiskit.quantum_info as qi from qiskit_experiments.exceptions import QiskitError -from qiskit_experiments.base_experiment import BaseExperiment, Options +from qiskit_experiments.base import BaseExperiment, Options from .basis import BaseTomographyMeasurementBasis, BaseTomographyPreparationBasis from .tomography_analysis import TomographyAnalysis diff --git a/test/fake_experiment.py b/test/fake_experiment.py index 93a9395f83..3649fc5188 100644 --- a/test/fake_experiment.py +++ b/test/fake_experiment.py @@ -14,8 +14,8 @@ from qiskit.providers.options import Options -from qiskit_experiments.base_experiment import BaseExperiment -from qiskit_experiments.base_analysis import BaseAnalysis +from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.base import BaseAnalysis class FakeAnalysis(BaseAnalysis): From 16fb55018aaef3447999c4a5a4b5983e2b7cb847 Mon Sep 17 00:00:00 2001 From: "Christopher J. Wood" Date: Tue, 20 Jul 2021 15:52:21 -0400 Subject: [PATCH 02/13] Update qiskit_experiments/base/__init__.py Co-authored-by: Naoki Kanazawa --- qiskit_experiments/base/__init__.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py index 50c49dd857..00b263e439 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/base/__init__.py @@ -17,6 +17,10 @@ .. currentmodule:: qiskit_experiments.base +.. note:: + + This page provides useful information for developers who create new experiment modules. + Classes ======= From bbc628fdd5c6ae1db65adf0b3379ecd8c28cee2d Mon Sep 17 00:00:00 2001 From: "Christopher J. Wood" Date: Tue, 20 Jul 2021 15:52:26 -0400 Subject: [PATCH 03/13] Update qiskit_experiments/base/__init__.py Co-authored-by: Naoki Kanazawa --- qiskit_experiments/base/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py index 00b263e439..42d77c1e53 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/base/__init__.py @@ -80,7 +80,7 @@ The :meth:`BaseAnalysis._run_analysis` method should return a pair ``(result_data, figures)`` where ``result_data`` is a list of -:class:`AnalysisResultData` and``figures`` is a list of +:class:`AnalysisResultData` and ``figures`` is a list of :class:`matplotlib.figure.Figure`. The :mod:`qiskit_experiments.data_processing` module contains classes for From 75e013f1579a661c2900ffbaf0cd3bfd38f06513 Mon Sep 17 00:00:00 2001 From: "Christopher J. Wood" Date: Tue, 20 Jul 2021 15:53:12 -0400 Subject: [PATCH 04/13] Update qiskit_experiments/base/__init__.py Co-authored-by: Naoki Kanazawa --- qiskit_experiments/base/__init__.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py index 42d77c1e53..73dd2c4097 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/base/__init__.py @@ -49,6 +49,8 @@ constructor with a list of physical qubits. The length of this list must be equal to the number of qubits in each circuit and is used to map these circuits to this layout during execution. + Arguments in the constructor can be overridden so that a subclass can + be initialized with some experiment configuration. - Set :attr:`BaseExperiment.__analysis_class__` class attribute to specify the :class:`BaseAnalysis` subclass for analyzing result data. From 3f6e9a8d65d2221dec3fae0f1c14f5e5bf4ca2e1 Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Tue, 20 Jul 2021 16:39:34 -0400 Subject: [PATCH 05/13] fix lint error --- qiskit_experiments/base/__init__.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py index 73dd2c4097..c32f9072c0 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/base/__init__.py @@ -18,8 +18,9 @@ .. currentmodule:: qiskit_experiments.base .. note:: - - This page provides useful information for developers who create new experiment modules. + + This page provides useful information for developers to implement new + experiments. Classes ======= From 0cf8a3f15acd02b5876009746558ad8c4133d119 Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Tue, 20 Jul 2021 17:44:25 -0400 Subject: [PATCH 06/13] Rename some section headings for API docs --- .../{mod_analysis.rst => analysis.rst} | 0 docs/apidocs/{mod_base.rst => base.rst} | 0 ...agement.rst => calibration_management.rst} | 0 .../{mod_composite.rst => composite.rst} | 0 ...ata_processing.rst => data_processing.rst} | 0 ...abase_service.rst => database_service.rst} | 0 docs/apidocs/index.rst | 28 ++++++++----------- qiskit_experiments/__init__.py | 3 +- qiskit_experiments/analysis/__init__.py | 8 +++--- .../data_processing/__init__.py | 6 ++-- 10 files changed, 20 insertions(+), 25 deletions(-) rename docs/apidocs/{mod_analysis.rst => analysis.rst} (100%) rename docs/apidocs/{mod_base.rst => base.rst} (100%) rename docs/apidocs/{mod_calibration_management.rst => calibration_management.rst} (100%) rename docs/apidocs/{mod_composite.rst => composite.rst} (100%) rename docs/apidocs/{mod_data_processing.rst => data_processing.rst} (100%) rename docs/apidocs/{mod_database_service.rst => database_service.rst} (100%) diff --git a/docs/apidocs/mod_analysis.rst b/docs/apidocs/analysis.rst similarity index 100% rename from docs/apidocs/mod_analysis.rst rename to docs/apidocs/analysis.rst diff --git a/docs/apidocs/mod_base.rst b/docs/apidocs/base.rst similarity index 100% rename from docs/apidocs/mod_base.rst rename to docs/apidocs/base.rst diff --git a/docs/apidocs/mod_calibration_management.rst b/docs/apidocs/calibration_management.rst similarity index 100% rename from docs/apidocs/mod_calibration_management.rst rename to docs/apidocs/calibration_management.rst diff --git a/docs/apidocs/mod_composite.rst b/docs/apidocs/composite.rst similarity index 100% rename from docs/apidocs/mod_composite.rst rename to docs/apidocs/composite.rst diff --git a/docs/apidocs/mod_data_processing.rst b/docs/apidocs/data_processing.rst similarity index 100% rename from docs/apidocs/mod_data_processing.rst rename to docs/apidocs/data_processing.rst diff --git a/docs/apidocs/mod_database_service.rst b/docs/apidocs/database_service.rst similarity index 100% rename from docs/apidocs/mod_database_service.rst rename to docs/apidocs/database_service.rst diff --git a/docs/apidocs/index.rst b/docs/apidocs/index.rst index f28db224dd..bbcd2505d3 100644 --- a/docs/apidocs/index.rst +++ b/docs/apidocs/index.rst @@ -4,27 +4,23 @@ Qiskit Experiments API Reference ================================ -.. toctree:: - :maxdepth: 1 - - main - library - -Utility Modules +Package Modules =============== .. toctree:: :maxdepth: 1 - mod_base - mod_analysis - mod_calibration_management - mod_composite - mod_data_processing - mod_database_service - -Experiments Modules -=================== + main + library + base + composite + data_processing + analysis + calibration_management + database_service + +Experiment Modules +================== .. toctree:: :maxdepth: 1 diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index 2f5922bc00..ddca8e8535 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -50,8 +50,7 @@ - Classes for saving and retrieving experiment and analysis results from a database. * - :mod:`~qiskit_experiments.analysis` - - Utility functions for analysis *Note: this module will be - restructured soon.* + - Utility functions for curve fitting and analysis. * - :mod:`~qiskit_experiments.base` - Abstract base classes for experiments and analysis. diff --git a/qiskit_experiments/analysis/__init__.py b/qiskit_experiments/analysis/__init__.py index fbce8f1f2e..b1e8fb0a5e 100644 --- a/qiskit_experiments/analysis/__init__.py +++ b/qiskit_experiments/analysis/__init__.py @@ -11,13 +11,13 @@ # that they have been altered from the originals. """ -===================================================== -Analysis Library (:mod:`qiskit_experiments.analysis`) -===================================================== +=================================================== +Curve Analysis (:mod:`qiskit_experiments.analysis`) +=================================================== .. currentmodule:: qiskit_experiments.analysis -Helper functions for experiment data analysis +Helper functions for curve analysis of experiment data Curve Fitting diff --git a/qiskit_experiments/data_processing/__init__.py b/qiskit_experiments/data_processing/__init__.py index 8b1194543b..cc7aca34a3 100644 --- a/qiskit_experiments/data_processing/__init__.py +++ b/qiskit_experiments/data_processing/__init__.py @@ -10,9 +10,9 @@ # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """ -====================================================================== -Experiment Data Processing (:mod:`qiskit_experiments.data_processing`) -====================================================================== +=========================================================== +Data Processing (:mod:`qiskit_experiments.data_processing`) +=========================================================== .. currentmodule:: qiskit_experiments.data_processing From 3b59190073737406d0fd8a67bcec7f0e01ee91c7 Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Tue, 20 Jul 2021 16:48:14 -0400 Subject: [PATCH 07/13] Rename `analysis` module to `curve_analysis` --- docs/apidocs/analysis.rst | 6 - docs/apidocs/curve_analysis.rst | 6 + docs/apidocs/index.rst | 2 +- qiskit_experiments/__init__.py | 6 +- .../{analysis => curve_analysis}/__init__.py | 65 +++++----- .../curve_analysis.py | 63 +++------- .../curve_analysis_result_data.py | 115 ++++++++++++++++++ .../curve_analysis/curve_data.py | 54 ++++++++ .../curve_fit.py} | 52 +------- .../data_processing.py | 0 .../fit_function.py | 0 .../{analysis => curve_analysis}/guess.py | 0 .../{analysis => curve_analysis}/utils.py | 0 .../visualization.py} | 0 .../calibration/analysis/drag_analysis.py | 6 +- .../analysis/fine_amplitude_analysis.py | 4 +- .../analysis/oscillation_analysis.py | 10 +- .../characterization/resonance_analysis.py | 12 +- .../library/characterization/t1_analysis.py | 17 ++- .../characterization/t2ramsey_analysis.py | 24 ++-- .../library/quantum_volume/qv_analysis.py | 11 +- .../interleaved_rb_analysis.py | 4 +- .../randomized_benchmarking/rb_analysis.py | 33 ++--- .../randomized_benchmarking/rb_experiment.py | 2 +- test/calibration/test_update_library.py | 2 +- test/{analysis => curve_analysis}/__init__.py | 0 .../test_curve_fit.py | 4 +- .../test_curve_fitting.py | 4 +- .../test_guess.py | 2 +- test/test_qubit_spectroscopy.py | 2 +- 30 files changed, 297 insertions(+), 209 deletions(-) delete mode 100644 docs/apidocs/analysis.rst create mode 100644 docs/apidocs/curve_analysis.rst rename qiskit_experiments/{analysis => curve_analysis}/__init__.py (63%) rename qiskit_experiments/{analysis => curve_analysis}/curve_analysis.py (96%) create mode 100644 qiskit_experiments/curve_analysis/curve_analysis_result_data.py create mode 100644 qiskit_experiments/curve_analysis/curve_data.py rename qiskit_experiments/{analysis/curve_fitting.py => curve_analysis/curve_fit.py} (85%) rename qiskit_experiments/{analysis => curve_analysis}/data_processing.py (100%) rename qiskit_experiments/{analysis => curve_analysis}/fit_function.py (100%) rename qiskit_experiments/{analysis => curve_analysis}/guess.py (100%) rename qiskit_experiments/{analysis => curve_analysis}/utils.py (100%) rename qiskit_experiments/{analysis/plotting.py => curve_analysis/visualization.py} (100%) rename test/{analysis => curve_analysis}/__init__.py (100%) rename test/{analysis => curve_analysis}/test_curve_fit.py (99%) rename test/{ => curve_analysis}/test_curve_fitting.py (97%) rename test/{analysis => curve_analysis}/test_guess.py (99%) diff --git a/docs/apidocs/analysis.rst b/docs/apidocs/analysis.rst deleted file mode 100644 index 130427c3ae..0000000000 --- a/docs/apidocs/analysis.rst +++ /dev/null @@ -1,6 +0,0 @@ -.. _qiskit-experiments-analysis: - -.. automodule:: qiskit_experiments.analysis - :no-members: - :no-inherited-members: - :no-special-members: \ No newline at end of file diff --git a/docs/apidocs/curve_analysis.rst b/docs/apidocs/curve_analysis.rst new file mode 100644 index 0000000000..60a3bf5475 --- /dev/null +++ b/docs/apidocs/curve_analysis.rst @@ -0,0 +1,6 @@ +.. _qiskit-experiments-curve-analysis: + +.. automodule:: qiskit_experiments.curve_analysis + :no-members: + :no-inherited-members: + :no-special-members: \ No newline at end of file diff --git a/docs/apidocs/index.rst b/docs/apidocs/index.rst index bbcd2505d3..60d11f3d70 100644 --- a/docs/apidocs/index.rst +++ b/docs/apidocs/index.rst @@ -15,7 +15,7 @@ Package Modules base composite data_processing - analysis + curve_analysis calibration_management database_service diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index ddca8e8535..c1bc7e8296 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -44,13 +44,13 @@ * - :mod:`~qiskit_experiments.data_processing` - Tools for building data processor workflows of experiment measurement data. + * - :mod:`~qiskit_experiments.curve_analysis` + - Utility functions for curve fitting and analysis. * - :mod:`~qiskit_experiments.calibration_management` - Classes for managing calibration experiment result data. * - :mod:`~qiskit_experiments.database_service` - Classes for saving and retrieving experiment and analysis results from a database. - * - :mod:`~qiskit_experiments.analysis` - - Utility functions for curve fitting and analysis. * - :mod:`~qiskit_experiments.base` - Abstract base classes for experiments and analysis. @@ -72,7 +72,7 @@ # Modules from . import base from . import library -from . import analysis +from . import curve_analysis from . import calibration_management from . import composite from . import data_processing diff --git a/qiskit_experiments/analysis/__init__.py b/qiskit_experiments/curve_analysis/__init__.py similarity index 63% rename from qiskit_experiments/analysis/__init__.py rename to qiskit_experiments/curve_analysis/__init__.py index b1e8fb0a5e..ffddead054 100644 --- a/qiskit_experiments/analysis/__init__.py +++ b/qiskit_experiments/curve_analysis/__init__.py @@ -11,38 +11,36 @@ # that they have been altered from the originals. """ -=================================================== -Curve Analysis (:mod:`qiskit_experiments.analysis`) -=================================================== +========================================================= +Curve Analysis (:mod:`qiskit_experiments.curve_analysis`) +========================================================= -.. currentmodule:: qiskit_experiments.analysis +.. currentmodule:: qiskit_experiments.curve_analysis -Helper functions for curve analysis of experiment data - - -Curve Fitting -============= +Classes +======= .. autosummary:: :toctree: ../stubs/ - curve_fit - multi_curve_fit - process_curve_data - process_multi_curve_data + CurveAnalysis + CurveAnalysisResultData + SeriesDef + CurveData +Functions +========= + +Curve Fitting +************* -Plotting -======== .. autosummary:: :toctree: ../stubs/ - plot_curve_fit - plot_errorbar - plot_scatter - + curve_fit + multi_curve_fit Fit Functions -============= +************* .. autosummary:: :toctree: ../stubs/ @@ -51,9 +49,8 @@ fit_function.gaussian fit_function.sin - -Guess Functions -=============== +Initial Guess +************* .. autosummary:: :toctree: ../stubs/ @@ -66,23 +63,33 @@ guess.min_height guess.oscillation_exp_decay +Visualization +************* +.. autosummary:: + :toctree: ../stubs/ + + plot_curve_fit + plot_errorbar + plot_scatter Utility -======= +******* .. autosummary:: :toctree: ../stubs/ get_opt_error get_opt_value """ -from .curve_analysis import CurveAnalysis, SeriesDef, CurveData - -from .curve_fitting import ( - CurveAnalysisResultData, +from .curve_analysis import CurveAnalysis +from .curve_analysis_result_data import CurveAnalysisResultData +from .curve_data import CurveData, SeriesDef +from .curve_fit import ( curve_fit, multi_curve_fit, process_curve_data, process_multi_curve_data, ) -from .plotting import plot_curve_fit, plot_errorbar, plot_scatter +from .visualization import plot_curve_fit, plot_errorbar, plot_scatter from .utils import get_opt_error, get_opt_value +from . import guess +from . import fit_function diff --git a/qiskit_experiments/analysis/curve_analysis.py b/qiskit_experiments/curve_analysis/curve_analysis.py similarity index 96% rename from qiskit_experiments/analysis/curve_analysis.py rename to qiskit_experiments/curve_analysis/curve_analysis.py index ae1d778f8b..c89787b990 100644 --- a/qiskit_experiments/analysis/curve_analysis.py +++ b/qiskit_experiments/curve_analysis/curve_analysis.py @@ -23,54 +23,23 @@ import numpy as np from qiskit.providers.options import Options -from qiskit_experiments.analysis import plotting -from qiskit_experiments.analysis.curve_fitting import ( - multi_curve_fit, - CurveAnalysisResultData, -) -from qiskit_experiments.analysis.utils import get_opt_value, get_opt_error from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.data_processing import DataProcessor from qiskit_experiments.data_processing.exceptions import DataProcessorError from qiskit_experiments.exceptions import AnalysisError from qiskit_experiments.experiment_data import ExperimentData -from qiskit_experiments.matplotlib import requires_matplotlib +from qiskit_experiments.matplotlib import pyplot, requires_matplotlib, HAS_MATPLOTLIB from qiskit_experiments.data_processing.processor_library import get_processor - -@dataclasses.dataclass(frozen=True) -class SeriesDef: - """Description of curve.""" - - # Arbitrary callback to define the fit function. First argument should be x. - fit_func: Callable - - # Keyword dictionary to define the series with circuit metadata - filter_kwargs: Dict[str, Any] = dataclasses.field(default_factory=dict) - - # Name of this series. This name will appear in the figure and raw x-y value report. - name: str = "Series-0" - - # Color of this line. - plot_color: str = "black" - - # Symbol to represent data points of this line. - plot_symbol: str = "o" - - # Whether to plot fit uncertainty for this line. - plot_fit_uncertainty: bool = False - - -@dataclasses.dataclass(frozen=True) -class CurveData: - """Set of extracted experiment data.""" - - label: str - x: np.ndarray - y: np.ndarray - y_err: np.ndarray - data_index: Union[np.ndarray, int] - metadata: np.ndarray = None +from qiskit_experiments.curve_analysis.curve_data import CurveData, SeriesDef +from qiskit_experiments.curve_analysis.curve_analysis_result_data import CurveAnalysisResultData +from qiskit_experiments.curve_analysis.curve_fit import multi_curve_fit +from qiskit_experiments.curve_analysis.visualization import ( + plot_scatter, + plot_errorbar, + plot_curve_fit, +) +from qiskit_experiments.curve_analysis.utils import get_opt_value, get_opt_error class CurveAnalysis(BaseAnalysis): @@ -328,7 +297,7 @@ def curve_fitter( ], ) -> CurveAnalysisResultData: - See :func:`~qiskit_experiment.analysis.multi_curve_fit` for example. + See :func:`~qiskit_experiment.curve_analysis.multi_curve_fit` for example. data_processor: A callback function to format experiment data. This function should have signature: @@ -383,7 +352,7 @@ def _create_figures(self, result_data: CurveAnalysisResultData) -> List["Figure" axis = self._get_option("axis") if axis is None: - figure = plotting.pyplot.figure(figsize=(8, 5)) + figure = pyplot.figure(figsize=(8, 5)) axis = figure.subplots(nrows=1, ncols=1) else: figure = axis.get_figure() @@ -396,7 +365,7 @@ def _create_figures(self, result_data: CurveAnalysisResultData) -> List["Figure" curve_data_raw = self._data(series_name=series_def.name, label="raw_data") ymin = min(ymin, *curve_data_raw.y) ymax = max(ymax, *curve_data_raw.y) - plotting.plot_scatter(xdata=curve_data_raw.x, ydata=curve_data_raw.y, ax=axis, zorder=0) + plot_scatter(xdata=curve_data_raw.x, ydata=curve_data_raw.y, ax=axis, zorder=0) # plot formatted data @@ -406,7 +375,7 @@ def _create_figures(self, result_data: CurveAnalysisResultData) -> List["Figure" else: sigma = np.nan_to_num(curve_data_fit.y_err) - plotting.plot_errorbar( + plot_errorbar( xdata=curve_data_fit.x, ydata=curve_data_fit.y, sigma=sigma, @@ -421,7 +390,7 @@ def _create_figures(self, result_data: CurveAnalysisResultData) -> List["Figure" # plot fit curve if fit_available: - plotting.plot_curve_fit( + plot_curve_fit( func=series_def.fit_func, result=result_data, ax=axis, @@ -1065,7 +1034,7 @@ def _run_analysis( # # 6. Create figures # - if self._get_option("plot") and plotting.HAS_MATPLOTLIB: + if self._get_option("plot") and HAS_MATPLOTLIB: figures.extend(self._create_figures(result_data=result_data)) # diff --git a/qiskit_experiments/curve_analysis/curve_analysis_result_data.py b/qiskit_experiments/curve_analysis/curve_analysis_result_data.py new file mode 100644 index 0000000000..883523f6d6 --- /dev/null +++ b/qiskit_experiments/curve_analysis/curve_analysis_result_data.py @@ -0,0 +1,115 @@ +# This code is part of Qiskit. +# +# (C) Copyright IBM 2021. +# +# This code is licensed under the Apache License, Version 2.0. You may +# obtain a copy of this license in the LICENSE.txt file in the root directory +# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. +# +# Any modifications or derivative works of this code must retain this +# copyright notice, and modified files need to carry a notice indicating +# that they have been altered from the originals. +""" +Curve analysis result data class. +""" +from qiskit_experiments.experiment_data import AnalysisResultData + + +class CurveAnalysisResultData(AnalysisResultData): + """Analysis data container for curve fit analysis. + + Class Attributes: + __keys_not_shown__: Data keys of analysis result which are not directly shown + in `__str__` method. By default, `pcov` (covariance matrix), + `raw_data` (raw x, y, sigma data points), `popt`, `popt_keys`, and `popt_err` + are not displayed. Fit parameters (popt) are formatted to + + .. code-block:: + + p0 = 1.2 ± 0.34 + p1 = 5.6 ± 0.78 + + rather showing raw key-value pairs + + .. code-block:: + + popt_keys = ["p0", "p1"] + popt = [1.2, 5.6] + popt_err = [0.34, 0.78] + + The covariance matrix and raw data points are not shown because they output + very long string usually doesn't fit in with the summary of the analysis object, + i.e. user wants to quickly get the over view of fit values and goodness of fit, + such as the chi-squared value and computer evaluated quality. + + However these non-displayed values are still kept and user can access to + these values with `result["raw_data"]` and `result["pcov"]` if necessary. + """ + + __keys_not_shown__ = "pcov", "raw_data", "popt", "popt_keys", "popt_err" + + def __str__(self): + out = "" + + if self.get("success"): + popt_keys = self.get("popt_keys") + popt = self.get("popt") + popt_err = self.get("popt_err") + + for key, value, error in zip(popt_keys, popt, popt_err): + out += f"\n - {key}: {value} \u00B1 {error}" + out = str(super()) + out + + return out + + # def get_opt_value(self, param_name: str) -> float: + # """A helper function to get parameter value from a result dictionary. + + # Args: + # param_name: Name of parameter to extract. + + # Returns: + # Parameter value. + + # Raises: + # KeyError: + # - When the result does not contain parameter information. + # ValueError: + # - When specified parameter is not defined. + # """ + # try: + # index = self["popt_keys"].index(param_name) + # return self["popt"][index] + # except KeyError as ex: + # raise KeyError( + # "Input result has not fit parameter information. " + # "Please confirm if the fit is successfully completed." + # ) from ex + # except ValueError as ex: + # raise ValueError(f"Parameter {param_name} is not defined.") from ex + + # def get_opt_error(self, param_name: str) -> float: + # """A helper function to get error value from analysis result. + + # Args: + # param_name: Name of parameter to extract. + + # Returns: + # Parameter error value. + + # Raises: + # KeyError: + # - When the result does not contain parameter information. + # ValueError: + # - When specified parameter is not defined. + # """ + # try: + # index = self["popt_keys"].index(param_name) + # return self["popt_err"][index] + # except KeyError as ex: + # raise KeyError( + # "Input result has not fit parameter information. " + # "Please confirm if the fit is successfully completed." + # ) from ex + # except ValueError as ex: + # raise ValueError(f"Parameter {param_name} is not defined.") from ex diff --git a/qiskit_experiments/curve_analysis/curve_data.py b/qiskit_experiments/curve_analysis/curve_data.py new file mode 100644 index 0000000000..d113995c55 --- /dev/null +++ b/qiskit_experiments/curve_analysis/curve_data.py @@ -0,0 +1,54 @@ +# This code is part of Qiskit. +# +# (C) Copyright IBM 2021. +# +# This code is licensed under the Apache License, Version 2.0. You may +# obtain a copy of this license in the LICENSE.txt file in the root directory +# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. +# +# Any modifications or derivative works of this code must retain this +# copyright notice, and modified files need to carry a notice indicating +# that they have been altered from the originals. + +""" +Curve data classes. +""" + +import dataclasses +from typing import Any, Dict, Callable, Union +import numpy as np + + +@dataclasses.dataclass(frozen=True) +class SeriesDef: + """Description of curve.""" + + # Arbitrary callback to define the fit function. First argument should be x. + fit_func: Callable + + # Keyword dictionary to define the series with circuit metadata + filter_kwargs: Dict[str, Any] = dataclasses.field(default_factory=dict) + + # Name of this series. This name will appear in the figure and raw x-y value report. + name: str = "Series-0" + + # Color of this line. + plot_color: str = "black" + + # Symbol to represent data points of this line. + plot_symbol: str = "o" + + # Whether to plot fit uncertainty for this line. + plot_fit_uncertainty: bool = False + + +@dataclasses.dataclass(frozen=True) +class CurveData: + """Set of extracted experiment data.""" + + label: str + x: np.ndarray + y: np.ndarray + y_err: np.ndarray + data_index: Union[np.ndarray, int] + metadata: np.ndarray = None diff --git a/qiskit_experiments/analysis/curve_fitting.py b/qiskit_experiments/curve_analysis/curve_fit.py similarity index 85% rename from qiskit_experiments/analysis/curve_fitting.py rename to qiskit_experiments/curve_analysis/curve_fit.py index 92bdeabdb1..41d654e308 100644 --- a/qiskit_experiments/analysis/curve_fitting.py +++ b/qiskit_experiments/curve_analysis/curve_fit.py @@ -19,56 +19,8 @@ import numpy as np import scipy.optimize as opt from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.analysis.data_processing import filter_data -from qiskit_experiments.experiment_data import AnalysisResultData - - -class CurveAnalysisResultData(AnalysisResultData): - """Analysis data container for curve fit analysis. - - Class Attributes: - __keys_not_shown__: Data keys of analysis result which are not directly shown - in `__str__` method. By default, `pcov` (covariance matrix), - `raw_data` (raw x, y, sigma data points), `popt`, `popt_keys`, and `popt_err` - are not displayed. Fit parameters (popt) are formatted to - - .. code-block:: - - p0 = 1.2 ± 0.34 - p1 = 5.6 ± 0.78 - - rather showing raw key-value pairs - - .. code-block:: - - popt_keys = ["p0", "p1"] - popt = [1.2, 5.6] - popt_err = [0.34, 0.78] - - The covariance matrix and raw data points are not shown because they output - very long string usually doesn't fit in with the summary of the analysis object, - i.e. user wants to quickly get the over view of fit values and goodness of fit, - such as the chi-squared value and computer evaluated quality. - - However these non-displayed values are still kept and user can access to - these values with `result["raw_data"]` and `result["pcov"]` if necessary. - """ - - __keys_not_shown__ = "pcov", "raw_data", "popt", "popt_keys", "popt_err" - - def __str__(self): - out = "" - - if self.get("success"): - popt_keys = self.get("popt_keys") - popt = self.get("popt") - popt_err = self.get("popt_err") - - for key, value, error in zip(popt_keys, popt, popt_err): - out += f"\n - {key}: {value} \u00B1 {error}" - out = str(super()) + out - - return out +from qiskit_experiments.curve_analysis.data_processing import filter_data +from qiskit_experiments.curve_analysis.curve_analysis_result_data import CurveAnalysisResultData def curve_fit( diff --git a/qiskit_experiments/analysis/data_processing.py b/qiskit_experiments/curve_analysis/data_processing.py similarity index 100% rename from qiskit_experiments/analysis/data_processing.py rename to qiskit_experiments/curve_analysis/data_processing.py diff --git a/qiskit_experiments/analysis/fit_function.py b/qiskit_experiments/curve_analysis/fit_function.py similarity index 100% rename from qiskit_experiments/analysis/fit_function.py rename to qiskit_experiments/curve_analysis/fit_function.py diff --git a/qiskit_experiments/analysis/guess.py b/qiskit_experiments/curve_analysis/guess.py similarity index 100% rename from qiskit_experiments/analysis/guess.py rename to qiskit_experiments/curve_analysis/guess.py diff --git a/qiskit_experiments/analysis/utils.py b/qiskit_experiments/curve_analysis/utils.py similarity index 100% rename from qiskit_experiments/analysis/utils.py rename to qiskit_experiments/curve_analysis/utils.py diff --git a/qiskit_experiments/analysis/plotting.py b/qiskit_experiments/curve_analysis/visualization.py similarity index 100% rename from qiskit_experiments/analysis/plotting.py rename to qiskit_experiments/curve_analysis/visualization.py diff --git a/qiskit_experiments/library/calibration/analysis/drag_analysis.py b/qiskit_experiments/library/calibration/analysis/drag_analysis.py index a3c699b901..a085e83c13 100644 --- a/qiskit_experiments/library/calibration/analysis/drag_analysis.py +++ b/qiskit_experiments/library/calibration/analysis/drag_analysis.py @@ -15,14 +15,14 @@ from typing import Any, Dict, List, Union import numpy as np -from qiskit_experiments.analysis import ( +from qiskit_experiments.curve_analysis import ( CurveAnalysis, CurveAnalysisResultData, SeriesDef, get_opt_value, get_opt_error, ) -from qiskit_experiments.analysis.fit_function import cos +from qiskit_experiments.curve_analysis.fit_function import cos class DragCalAnalysis(CurveAnalysis): @@ -90,7 +90,7 @@ class DragCalAnalysis(CurveAnalysis): def _default_options(cls): """Return the default analysis options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() diff --git a/qiskit_experiments/library/calibration/analysis/fine_amplitude_analysis.py b/qiskit_experiments/library/calibration/analysis/fine_amplitude_analysis.py index 4c9b82ea4f..3986b54fb8 100644 --- a/qiskit_experiments/library/calibration/analysis/fine_amplitude_analysis.py +++ b/qiskit_experiments/library/calibration/analysis/fine_amplitude_analysis.py @@ -16,7 +16,7 @@ import numpy as np from qiskit_experiments.exceptions import CalibrationError -from qiskit_experiments.analysis import ( +from qiskit_experiments.curve_analysis import ( CurveAnalysis, CurveAnalysisResultData, SeriesDef, @@ -78,7 +78,7 @@ class FineAmplitudeAnalysis(CurveAnalysis): def _default_options(cls): """Return the default analysis options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() diff --git a/qiskit_experiments/library/calibration/analysis/oscillation_analysis.py b/qiskit_experiments/library/calibration/analysis/oscillation_analysis.py index 09b44eed08..d7b070f897 100644 --- a/qiskit_experiments/library/calibration/analysis/oscillation_analysis.py +++ b/qiskit_experiments/library/calibration/analysis/oscillation_analysis.py @@ -15,7 +15,7 @@ from typing import Any, Dict, List, Union import numpy as np -from qiskit_experiments.analysis import ( +from qiskit_experiments.curve_analysis import ( CurveAnalysis, CurveAnalysisResultData, SeriesDef, @@ -42,10 +42,10 @@ class OscillationAnalysis(CurveAnalysis): - :math:`{\rm phase}`: Phase of the oscillation. Initial Guesses - - :math:`amp`: Calculated by :func:`~qiskit_experiments.analysis.guess.max_height`. - - :math:`baseline`: Calculated by :func:`~qiskit_experiments.analysis.\ + - :math:`amp`: Calculated by :func:`~qiskit_experiments.curve_analysis.guess.max_height`. + - :math:`baseline`: Calculated by :func:`~qiskit_experiments.curve_analysis.\ guess.constant_sinusoidal_offset`. - - :math:`{\rm freq}`: Calculated by :func:`~qiskit_experiments.analysis.\ + - :math:`{\rm freq}`: Calculated by :func:`~qiskit_experiments.curve_analysis.\ guess.frequency`. - :math:`{\rm phase}`: Zero. @@ -69,7 +69,7 @@ class OscillationAnalysis(CurveAnalysis): def _default_options(cls): """Return the default analysis options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() diff --git a/qiskit_experiments/library/characterization/resonance_analysis.py b/qiskit_experiments/library/characterization/resonance_analysis.py index 2a213b7a1a..4e7421620c 100644 --- a/qiskit_experiments/library/characterization/resonance_analysis.py +++ b/qiskit_experiments/library/characterization/resonance_analysis.py @@ -16,7 +16,7 @@ import numpy as np -from qiskit_experiments.analysis import ( +from qiskit_experiments.curve_analysis import ( CurveAnalysis, CurveAnalysisResultData, SeriesDef, @@ -47,14 +47,14 @@ class ResonanceAnalysis(CurveAnalysis): - :math:`\sigma`: Standard deviation of Gaussian function. Initial Guesses - - :math:`a`: Calculated by :func:`~qiskit_experiments.analysis.guess.max_height`. - - :math:`b`: Calculated by :func:`~qiskit_experiments.analysis.guess.\ + - :math:`a`: Calculated by :func:`~qiskit_experiments.curve_analysis.guess.max_height`. + - :math:`b`: Calculated by :func:`~qiskit_experiments.curve_analysis.guess.\ constant_spectral_offset`. - :math:`f`: Frequency at max height position calculated by - :func:`~qiskit_experiments.analysis.guess.max_height`. + :func:`~qiskit_experiments.curve_analysis.guess.max_height`. - :math:`\sigma`: Calculated from FWHM of peak :math:`w` such that :math:`w / \sqrt{8} \ln{2}`, where FWHM is calculated by - :func:`~qiskit_experiments.analysis.guess.full_width_half_max`. + :func:`~qiskit_experiments.curve_analysis.guess.full_width_half_max`. Bounds - :math:`a`: [-2, 2] scaled with maximum signal value. @@ -78,7 +78,7 @@ class ResonanceAnalysis(CurveAnalysis): def _default_options(cls): """Return default data processing options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() diff --git a/qiskit_experiments/library/characterization/t1_analysis.py b/qiskit_experiments/library/characterization/t1_analysis.py index 515970d19b..960d165546 100644 --- a/qiskit_experiments/library/characterization/t1_analysis.py +++ b/qiskit_experiments/library/characterization/t1_analysis.py @@ -16,17 +16,16 @@ from typing import Tuple, List import numpy as np -from qiskit.providers.options import Options from qiskit.utils import apply_prefix -from qiskit_experiments.base import BaseAnalysis -from qiskit_experiments.analysis.curve_fitting import ( +from qiskit_experiments.base import BaseAnalysis, Options +from qiskit_experiments.matplotlib import HAS_MATPLOTLIB +from qiskit_experiments.curve_analysis import plot_curve_fit, plot_errorbar, curve_fit +from qiskit_experiments.curve_analysis.curve_fit import ( process_curve_data, - curve_fit, CurveAnalysisResultData, ) -from qiskit_experiments.analysis.data_processing import level2_probability -from qiskit_experiments.analysis import plotting +from qiskit_experiments.curve_analysis.data_processing import level2_probability class T1Analysis(BaseAnalysis): @@ -153,9 +152,9 @@ def fit_fun(x, a, tau, c): # Generate fit plot figures = [] - if plot and plotting.HAS_MATPLOTLIB: - ax = plotting.plot_curve_fit(fit_fun, fit_result, ax=ax, fit_uncertainty=True) - ax = plotting.plot_errorbar(xdata, ydata, sigma, ax=ax) + if plot and HAS_MATPLOTLIB: + ax = plot_curve_fit(fit_fun, fit_result, ax=ax, fit_uncertainty=True) + ax = plot_errorbar(xdata, ydata, sigma, ax=ax) self._format_plot(ax, fit_result, qubit=qubit) figures.append(ax.get_figure()) diff --git a/qiskit_experiments/library/characterization/t2ramsey_analysis.py b/qiskit_experiments/library/characterization/t2ramsey_analysis.py index 2aab872045..7548fffe2f 100644 --- a/qiskit_experiments/library/characterization/t2ramsey_analysis.py +++ b/qiskit_experiments/library/characterization/t2ramsey_analysis.py @@ -17,16 +17,14 @@ import numpy as np from qiskit.utils import apply_prefix -from qiskit.providers.options import Options -from qiskit_experiments.base import BaseAnalysis -from qiskit_experiments.analysis.curve_fitting import ( - curve_fit, - process_curve_data, - CurveAnalysisResultData, -) -from qiskit_experiments.analysis.data_processing import level2_probability -from qiskit_experiments.analysis import plotting from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.base import BaseAnalysis, Options +from qiskit_experiments.matplotlib import HAS_MATPLOTLIB +from qiskit_experiments.curve_analysis import curve_fit, plot_curve_fit, plot_errorbar, plot_scatter +from qiskit_experiments.curve_analysis.curve_analysis_result_data import CurveAnalysisResultData +from qiskit_experiments.curve_analysis.curve_fit import process_curve_data +from qiskit_experiments.curve_analysis.data_processing import level2_probability + # pylint: disable = invalid-name class T2RamseyAnalysis(BaseAnalysis): @@ -117,10 +115,10 @@ def _format_plot(ax, unit, fit_result, conversion_factor): osc_fit_fun, xdata, ydata, p0=list(p0.values()), sigma=sigma, bounds=bounds ) - if plot and plotting.HAS_MATPLOTLIB: - ax = plotting.plot_curve_fit(osc_fit_fun, fit_result, ax=ax) - ax = plotting.plot_scatter(xdata, ydata, ax=ax) - ax = plotting.plot_errorbar(xdata, ydata, sigma, ax=ax) + if plot and HAS_MATPLOTLIB: + ax = plot_curve_fit(osc_fit_fun, fit_result, ax=ax) + ax = plot_scatter(xdata, ydata, ax=ax) + ax = plot_errorbar(xdata, ydata, sigma, ax=ax) _format_plot(ax, unit, fit_result, conversion_factor) figures = [ax.get_figure()] else: diff --git a/qiskit_experiments/library/quantum_volume/qv_analysis.py b/qiskit_experiments/library/quantum_volume/qv_analysis.py index 30af0cb6d5..0f2d3896e2 100644 --- a/qiskit_experiments/library/quantum_volume/qv_analysis.py +++ b/qiskit_experiments/library/quantum_volume/qv_analysis.py @@ -20,7 +20,8 @@ from qiskit_experiments.base import BaseAnalysis from qiskit_experiments.experiment_data import AnalysisResultData -from qiskit_experiments.analysis import plotting +from qiskit_experiments.matplotlib import HAS_MATPLOTLIB +from qiskit_experiments.curve_analysis import plot_scatter, plot_errorbar class QuantumVolumeAnalysis(BaseAnalysis): @@ -42,7 +43,7 @@ def _run_analysis( self, experiment_data, plot: bool = True, - ax: Optional["plotting.pyplot.AxesSubplot"] = None, + ax: Optional["matplotlib.pyplot.AxesSubplot"] = None, ): """Run analysis on circuit data. Args: @@ -72,7 +73,7 @@ def _run_analysis( self._calc_quantum_volume(heavy_output_prob_exp, depth, num_trials) ) - if plot and plotting.HAS_MATPLOTLIB: + if plot and HAS_MATPLOTLIB: ax = self._format_plot(ax, analysis_result) figures = [ax.get_figure()] else: @@ -228,7 +229,7 @@ def _format_plot(ax, analysis_result): two_sigma = 2 * (hop_accumulative * (1 - hop_accumulative) / trial_list) ** 0.5 # Plot inidivual HOP as scatter - ax = plotting.plot_scatter( + ax = plot_scatter( trial_list, analysis_result["heavy output probability"], ax=ax, @@ -239,7 +240,7 @@ def _format_plot(ax, analysis_result): # Plot accumulative HOP ax.plot(trial_list, hop_accumulative, color="r", label="Cumulative HOP") # Plot two-sigma shaded area - ax = plotting.plot_errorbar( + ax = plot_errorbar( trial_list, hop_accumulative, two_sigma, diff --git a/qiskit_experiments/library/randomized_benchmarking/interleaved_rb_analysis.py b/qiskit_experiments/library/randomized_benchmarking/interleaved_rb_analysis.py index 15dfccc0eb..d2db5cf8c2 100644 --- a/qiskit_experiments/library/randomized_benchmarking/interleaved_rb_analysis.py +++ b/qiskit_experiments/library/randomized_benchmarking/interleaved_rb_analysis.py @@ -16,7 +16,7 @@ import numpy as np -from qiskit_experiments.analysis import ( +from qiskit_experiments.curve_analysis import ( SeriesDef, CurveAnalysisResultData, fit_function, @@ -124,7 +124,7 @@ class InterleavedRBAnalysis(RBAnalysis): def _default_options(cls): """Return default data processing options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() diff --git a/qiskit_experiments/library/randomized_benchmarking/rb_analysis.py b/qiskit_experiments/library/randomized_benchmarking/rb_analysis.py index db8da5124f..4e7abfbe1d 100644 --- a/qiskit_experiments/library/randomized_benchmarking/rb_analysis.py +++ b/qiskit_experiments/library/randomized_benchmarking/rb_analysis.py @@ -17,21 +17,12 @@ import numpy as np -from qiskit_experiments.analysis import ( - CurveAnalysis, - CurveAnalysisResultData, - SeriesDef, - CurveData, - fit_function, - get_opt_value, - get_opt_error, -) - -from qiskit_experiments.analysis.data_processing import multi_mean_xy_data +import qiskit_experiments.curve_analysis as curve +from qiskit_experiments.curve_analysis.data_processing import multi_mean_xy_data from .rb_utils import RBUtils -class RBAnalysis(CurveAnalysis): +class RBAnalysis(curve.CurveAnalysis): r"""A class to analyze randomized benchmarking experiments. Overview @@ -66,8 +57,8 @@ class RBAnalysis(CurveAnalysis): """ __series__ = [ - SeriesDef( - fit_func=lambda x, a, alpha, b: fit_function.exponential_decay( + curve.SeriesDef( + fit_func=lambda x, a, alpha, b: curve.fit_function.exponential_decay( x, amp=a, lamb=-1.0, base=alpha, baseline=b ), plot_color="blue", @@ -79,7 +70,7 @@ class RBAnalysis(CurveAnalysis): def _default_options(cls): """Return default options. - See :meth:`~qiskit_experiment.analysis.CurveAnalysis._default_options` for + See :meth:`~qiskit_experiment.curve_analysis.CurveAnalysis._default_options` for descriptions of analysis options. """ default_options = super()._default_options() @@ -137,7 +128,7 @@ def _initial_guess( return fit_guess - def _format_data(self, data: CurveData) -> CurveData: + def _format_data(self, data: curve.CurveData) -> curve.CurveData: """Take average over the same x values.""" mean_data_index, mean_x, mean_y, mean_e = multi_mean_xy_data( series=data.data_index, @@ -146,7 +137,7 @@ def _format_data(self, data: CurveData) -> CurveData: sigma=data.y_err, method="sample", ) - return CurveData( + return curve.CurveData( label="fit_ready", x=mean_x, y=mean_y, @@ -164,10 +155,12 @@ def _run_analysis(self, experiment_data, **options): ) return super()._run_analysis(experiment_data, **options) - def _post_analysis(self, result_data: CurveAnalysisResultData) -> CurveAnalysisResultData: + def _post_analysis( + self, result_data: curve.CurveAnalysisResultData + ) -> curve.CurveAnalysisResultData: """Calculate EPC.""" - alpha = get_opt_value(result_data, "alpha") - alpha_err = get_opt_error(result_data, "alpha") + alpha = curve.get_opt_value(result_data, "alpha") + alpha_err = curve.get_opt_error(result_data, "alpha") scale = (2 ** self._num_qubits - 1) / (2 ** self._num_qubits) result_data["EPC"] = scale * (1 - alpha) diff --git a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py index ec51687c21..034c245020 100644 --- a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py +++ b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py @@ -24,7 +24,7 @@ from qiskit.circuit import Gate from qiskit_experiments.base import BaseExperiment -from qiskit_experiments.analysis.data_processing import probability +from qiskit_experiments.curve_analysis.data_processing import probability from qiskit_experiments.composite import ParallelExperiment from .rb_analysis import RBAnalysis from .clifford_utils import CliffordUtils diff --git a/test/calibration/test_update_library.py b/test/calibration/test_update_library.py index eb13b6be6d..60cfcbd576 100644 --- a/test/calibration/test_update_library.py +++ b/test/calibration/test_update_library.py @@ -27,7 +27,7 @@ from qiskit_experiments.exceptions import CalibrationError from qiskit_experiments.calibration_management.update_library import Frequency, Amplitude, Drag from qiskit_experiments.calibration_management.backend_calibrations import BackendCalibrations -from qiskit_experiments.analysis import get_opt_value +from qiskit_experiments.curve_analysis import get_opt_value from qiskit_experiments.test.mock_iq_backend import DragBackend, MockFineAmp diff --git a/test/analysis/__init__.py b/test/curve_analysis/__init__.py similarity index 100% rename from test/analysis/__init__.py rename to test/curve_analysis/__init__.py diff --git a/test/analysis/test_curve_fit.py b/test/curve_analysis/test_curve_fit.py similarity index 99% rename from test/analysis/test_curve_fit.py rename to test/curve_analysis/test_curve_fit.py index ef9da8ac78..fbbe692cfa 100644 --- a/test/analysis/test_curve_fit.py +++ b/test/curve_analysis/test_curve_fit.py @@ -22,8 +22,8 @@ from qiskit.qobj.utils import MeasLevel from qiskit_experiments import ExperimentData -from qiskit_experiments.analysis import CurveAnalysis, SeriesDef, fit_function -from qiskit_experiments.analysis.data_processing import probability +from qiskit_experiments.curve_analysis import CurveAnalysis, SeriesDef, fit_function +from qiskit_experiments.curve_analysis.data_processing import probability from qiskit_experiments.exceptions import AnalysisError diff --git a/test/test_curve_fitting.py b/test/curve_analysis/test_curve_fitting.py similarity index 97% rename from test/test_curve_fitting.py rename to test/curve_analysis/test_curve_fitting.py index 81c8d30dfd..8a94544abc 100644 --- a/test/test_curve_fitting.py +++ b/test/curve_analysis/test_curve_fitting.py @@ -16,8 +16,8 @@ from qiskit.test import QiskitTestCase from qiskit import QuantumCircuit, execute from qiskit.providers.basicaer import QasmSimulatorPy -from qiskit_experiments.analysis.curve_fitting import curve_fit, multi_curve_fit, process_curve_data -from qiskit_experiments.analysis.data_processing import ( +from qiskit_experiments.curve_analysis import curve_fit, multi_curve_fit, process_curve_data +from qiskit_experiments.curve_analysis.data_processing import ( level2_probability, mean_xy_data, multi_mean_xy_data, diff --git a/test/analysis/test_guess.py b/test/curve_analysis/test_guess.py similarity index 99% rename from test/analysis/test_guess.py rename to test/curve_analysis/test_guess.py index db150d010e..b83b4f5447 100644 --- a/test/analysis/test_guess.py +++ b/test/curve_analysis/test_guess.py @@ -17,7 +17,7 @@ from ddt import ddt, data, unpack from qiskit.test import QiskitTestCase -from qiskit_experiments.analysis import guess +from qiskit_experiments.curve_analysis import guess @ddt diff --git a/test/test_qubit_spectroscopy.py b/test/test_qubit_spectroscopy.py index eb1ae0aa31..8a803acc69 100644 --- a/test/test_qubit_spectroscopy.py +++ b/test/test_qubit_spectroscopy.py @@ -20,7 +20,7 @@ from qiskit.test import QiskitTestCase from qiskit_experiments.library import QubitSpectroscopy, EFSpectroscopy -from qiskit_experiments.analysis import get_opt_value +from qiskit_experiments.curve_analysis import get_opt_value from qiskit_experiments.test.mock_iq_backend import MockIQBackend From 5c60bbc3fae83bc3940c9823311992b0c06fecfd Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 09:50:08 -0400 Subject: [PATCH 08/13] Fix doc build errors in CurveAnalysis --- .../curve_analysis/curve_analysis.py | 42 +++++++++---------- 1 file changed, 19 insertions(+), 23 deletions(-) diff --git a/qiskit_experiments/curve_analysis/curve_analysis.py b/qiskit_experiments/curve_analysis/curve_analysis.py index c89787b990..5d668ad893 100644 --- a/qiskit_experiments/curve_analysis/curve_analysis.py +++ b/qiskit_experiments/curve_analysis/curve_analysis.py @@ -50,29 +50,27 @@ class CurveAnalysis(BaseAnalysis): create a new curve fit analysis subclass inheriting from this base class. Class Attributes: + - ``__series__``: A set of data points that will be fit to the same parameters + in the fit function. If this analysis contains multiple curves, + the same number of series definitions should be listed. Each series definition + is a :class:`SeriesDef` element, that may be initialized with - __series__: A set of data points that will be fit to the same parameters - in the fit function. If this analysis contains multiple curves, - the same number of series definitions should be listed. - Each series definition is SeriesDef element, that may be initialized with: + - ``fit_func``: The function to which the data will be fit. + - ``filter_kwargs``: Circuit metadata key and value associated with this curve. + The data points of the curve are extracted from ExperimentData based on + this information. + - ``name``: Name of the curve. This is arbitrary data field, but should be unique. + - ``plot_color``: String color representation of this series in the plot. + - ``plot_symbol``: String formatter of the scatter of this series in the plot. + - ``plot_fit_uncertainty``: A Boolean signaling whether to plot fit uncertainty + for this series in the plot. - fit_func: The function to which the data will be fit. - filter_kwargs: Circuit metadata key and value associated with this curve. - The data points of the curve are extracted from ExperimentData based on - this information. - name: Name of the curve. This is arbitrary data field, but should be unique. - plot_color: String color representation of this series in the plot. - plot_symbol: String formatter of the scatter of this series in the plot. - plot_fit_uncertainty: A Boolean signaling whether to plot fit uncertainty - for this series in the plot. - - See the Examples below for more details. + See the Examples below for more details. Examples: - A fitting for single exponential decay curve - ============================================ + **A fitting for single exponential decay curve** In this type of experiment, the analysis deals with a single curve. Thus filter_kwargs and series name are not necessary defined. @@ -89,8 +87,7 @@ class AnalysisExample(CurveAnalysis): ] - A fitting for two exponential decay curve with partly shared parameter - ====================================================================== + **A fitting for two exponential decay curve with partly shared parameter** In this type of experiment, the analysis deals with two curves. We need a __series__ definition for each curve, and filter_kwargs should be @@ -124,8 +121,8 @@ class AnalysisExample(CurveAnalysis): Parameter `p1` (`p2`) is only used by `my_experiment1` (`my_experiment2`). Both series have same fit function in this example. - A fitting for two trigonometric curves with the same parameter - ============================================================== + + **A fitting for two trigonometric curves with the same parameter** In this type of experiment, the analysis deals with two different curves. However the parameters are shared with both functions. @@ -158,8 +155,7 @@ class AnalysisExample(CurveAnalysis): `my_experiment1` (`my_experiment2`) uses the `cos` (`sin`) fit function. - A fitting with fixed parameter - ============================== + **A fitting with fixed parameter** In this type of experiment, we can provide fixed fit function parameter. This parameter should be assigned via analysis options From 452af325afd650e081499404e70d5f2dafbadc6d Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 09:54:26 -0400 Subject: [PATCH 09/13] Add extra comment on _default_analysis_options --- qiskit_experiments/base/__init__.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/base/__init__.py index c32f9072c0..7943f09912 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/base/__init__.py @@ -60,13 +60,16 @@ - :meth:`BaseExperiment._default_experiment_options` to set default values for configurable option parameters for the experiment. -- :meth:`BaseExperiment._default_analysis_options` - to set default values for configurable options for the experiments analysis class. - :meth:`BaseExperiment._default_transpile_options` to set custom default values for the ``qiskit.transpile`` used to transpile the generated circuits before execution. - :meth:`BaseExperiment._default_run_options` to set default backend options for running the transpiled circuits on a backend. +- :meth:`BaseExperiment._default_analysis_options` + to set default values for configurable options for the experiments analysis class. + Note that these should generally be set by overriding the :class:`BaseAnalysis` + method :meth:`BaseAnalysis._default_options` instead of this method except in the + case where the experiment requires different defaults to the used analysis class. - :meth:`BaseExperiment._post_process_transpiled_circuits` to implement any post-processing of the transpiled circuits before execution. - :meth:`BaseExperiment._additional_metadata` From b9fae5e717cb9cfa6a5bc9d6caba179782bce02a Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 13:16:21 -0400 Subject: [PATCH 10/13] Rename `base` to `framework` --- docs/apidocs/base.rst | 6 ------ docs/apidocs/framework.rst | 6 ++++++ docs/apidocs/index.rst | 2 +- qiskit_experiments/__init__.py | 6 +++--- qiskit_experiments/composite/composite_analysis.py | 2 +- qiskit_experiments/composite/composite_experiment.py | 2 +- qiskit_experiments/curve_analysis/curve_analysis.py | 2 +- qiskit_experiments/{base => framework}/__init__.py | 8 ++++---- qiskit_experiments/{base => framework}/base_analysis.py | 0 qiskit_experiments/{base => framework}/base_experiment.py | 0 qiskit_experiments/library/calibration/drag.py | 2 +- qiskit_experiments/library/calibration/fine_amplitude.py | 2 +- qiskit_experiments/library/calibration/rabi.py | 2 +- .../library/characterization/qubit_spectroscopy.py | 2 +- qiskit_experiments/library/characterization/t1.py | 2 +- .../library/characterization/t1_analysis.py | 2 +- qiskit_experiments/library/characterization/t2ramsey.py | 2 +- .../library/characterization/t2ramsey_analysis.py | 2 +- qiskit_experiments/library/quantum_volume/qv_analysis.py | 2 +- .../library/quantum_volume/qv_experiment.py | 2 +- .../library/randomized_benchmarking/rb_experiment.py | 2 +- qiskit_experiments/library/tomography/qpt_analysis.py | 2 +- qiskit_experiments/library/tomography/qst_analysis.py | 2 +- .../library/tomography/tomography_analysis.py | 2 +- .../library/tomography/tomography_experiment.py | 2 +- test/fake_experiment.py | 4 ++-- 26 files changed, 34 insertions(+), 34 deletions(-) delete mode 100644 docs/apidocs/base.rst create mode 100644 docs/apidocs/framework.rst rename qiskit_experiments/{base => framework}/__init__.py (94%) rename qiskit_experiments/{base => framework}/base_analysis.py (100%) rename qiskit_experiments/{base => framework}/base_experiment.py (100%) diff --git a/docs/apidocs/base.rst b/docs/apidocs/base.rst deleted file mode 100644 index 03a4b58da0..0000000000 --- a/docs/apidocs/base.rst +++ /dev/null @@ -1,6 +0,0 @@ -.. _qiskit-experiments-base: - -.. automodule:: qiskit_experiments.base - :no-members: - :no-inherited-members: - :no-special-members: \ No newline at end of file diff --git a/docs/apidocs/framework.rst b/docs/apidocs/framework.rst new file mode 100644 index 0000000000..d7b8255231 --- /dev/null +++ b/docs/apidocs/framework.rst @@ -0,0 +1,6 @@ +.. _qiskit-experiments-framework: + +.. automodule:: qiskit_experiments.framework + :no-members: + :no-inherited-members: + :no-special-members: \ No newline at end of file diff --git a/docs/apidocs/index.rst b/docs/apidocs/index.rst index 60d11f3d70..1df3649f19 100644 --- a/docs/apidocs/index.rst +++ b/docs/apidocs/index.rst @@ -11,8 +11,8 @@ Package Modules :maxdepth: 1 main + framework library - base composite data_processing curve_analysis diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index c1bc7e8296..8e29b85c75 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -41,6 +41,8 @@ * - :mod:`~qiskit_experiments.library` - Library of available experiments. + * - :framework:`~qiskit_experiments.framework` + - Core classes for experiments and analysis. * - :mod:`~qiskit_experiments.data_processing` - Tools for building data processor workflows of experiment measurement data. @@ -51,8 +53,6 @@ * - :mod:`~qiskit_experiments.database_service` - Classes for saving and retrieving experiment and analysis results from a database. - * - :mod:`~qiskit_experiments.base` - - Abstract base classes for experiments and analysis. Certain experiments also have additional utilities contained which can be accessed by importing the following modules. @@ -70,7 +70,7 @@ from .composite import BatchExperiment, ParallelExperiment # Modules -from . import base +from . import framework from . import library from . import curve_analysis from . import calibration_management diff --git a/qiskit_experiments/composite/composite_analysis.py b/qiskit_experiments/composite/composite_analysis.py index bcb0bc0cf6..b9f755feeb 100644 --- a/qiskit_experiments/composite/composite_analysis.py +++ b/qiskit_experiments/composite/composite_analysis.py @@ -14,7 +14,7 @@ """ from qiskit.exceptions import QiskitError -from qiskit_experiments.base import BaseAnalysis +from qiskit_experiments.framework import BaseAnalysis from qiskit_experiments.experiment_data import AnalysisResultData from qiskit_experiments.composite.composite_experiment_data import CompositeExperimentData diff --git a/qiskit_experiments/composite/composite_experiment.py b/qiskit_experiments/composite/composite_experiment.py index cb6cfb2ce8..b58a642fe4 100644 --- a/qiskit_experiments/composite/composite_experiment.py +++ b/qiskit_experiments/composite/composite_experiment.py @@ -16,7 +16,7 @@ from abc import abstractmethod import warnings -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from .composite_experiment_data import CompositeExperimentData from .composite_analysis import CompositeAnalysis diff --git a/qiskit_experiments/curve_analysis/curve_analysis.py b/qiskit_experiments/curve_analysis/curve_analysis.py index 5d668ad893..d69c384cb1 100644 --- a/qiskit_experiments/curve_analysis/curve_analysis.py +++ b/qiskit_experiments/curve_analysis/curve_analysis.py @@ -23,7 +23,7 @@ import numpy as np from qiskit.providers.options import Options -from qiskit_experiments.base import BaseAnalysis +from qiskit_experiments.framework import BaseAnalysis from qiskit_experiments.data_processing import DataProcessor from qiskit_experiments.data_processing.exceptions import DataProcessorError from qiskit_experiments.exceptions import AnalysisError diff --git a/qiskit_experiments/base/__init__.py b/qiskit_experiments/framework/__init__.py similarity index 94% rename from qiskit_experiments/base/__init__.py rename to qiskit_experiments/framework/__init__.py index 7943f09912..a0176ada9b 100644 --- a/qiskit_experiments/base/__init__.py +++ b/qiskit_experiments/framework/__init__.py @@ -11,11 +11,11 @@ # that they have been altered from the originals. """ -======================================================== -Experiment Base Classes (:mod:`qiskit_experiments.base`) -======================================================== +========================================================== +Experiment Framework (:mod:`qiskit_experiments.framework`) +========================================================== -.. currentmodule:: qiskit_experiments.base +.. currentmodule:: qiskit_experiments.framework .. note:: diff --git a/qiskit_experiments/base/base_analysis.py b/qiskit_experiments/framework/base_analysis.py similarity index 100% rename from qiskit_experiments/base/base_analysis.py rename to qiskit_experiments/framework/base_analysis.py diff --git a/qiskit_experiments/base/base_experiment.py b/qiskit_experiments/framework/base_experiment.py similarity index 100% rename from qiskit_experiments/base/base_experiment.py rename to qiskit_experiments/framework/base_experiment.py diff --git a/qiskit_experiments/library/calibration/drag.py b/qiskit_experiments/library/calibration/drag.py index c3f0c3cf19..be5f8ae5b0 100644 --- a/qiskit_experiments/library/calibration/drag.py +++ b/qiskit_experiments/library/calibration/drag.py @@ -22,7 +22,7 @@ import qiskit.pulse as pulse from qiskit.providers.options import Options -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.exceptions import CalibrationError from qiskit_experiments.library.calibration.analysis.drag_analysis import DragCalAnalysis diff --git a/qiskit_experiments/library/calibration/fine_amplitude.py b/qiskit_experiments/library/calibration/fine_amplitude.py index a5a09fb5b8..3012e3517c 100644 --- a/qiskit_experiments/library/calibration/fine_amplitude.py +++ b/qiskit_experiments/library/calibration/fine_amplitude.py @@ -22,7 +22,7 @@ from qiskit.providers.options import Options from qiskit.pulse.schedule import ScheduleBlock -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.library.calibration.analysis.fine_amplitude_analysis import ( FineAmplitudeAnalysis, ) diff --git a/qiskit_experiments/library/calibration/rabi.py b/qiskit_experiments/library/calibration/rabi.py index 92a51a018b..1881cf4461 100644 --- a/qiskit_experiments/library/calibration/rabi.py +++ b/qiskit_experiments/library/calibration/rabi.py @@ -22,7 +22,7 @@ import qiskit.pulse as pulse from qiskit.providers.options import Options -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.library.calibration.analysis.oscillation_analysis import OscillationAnalysis from qiskit_experiments.exceptions import CalibrationError diff --git a/qiskit_experiments/library/characterization/qubit_spectroscopy.py b/qiskit_experiments/library/characterization/qubit_spectroscopy.py index 6f9ff84d46..0eea0d4aa4 100644 --- a/qiskit_experiments/library/characterization/qubit_spectroscopy.py +++ b/qiskit_experiments/library/characterization/qubit_spectroscopy.py @@ -24,7 +24,7 @@ from qiskit.providers.options import Options from qiskit.qobj.utils import MeasLevel -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.library.characterization.resonance_analysis import ResonanceAnalysis diff --git a/qiskit_experiments/library/characterization/t1.py b/qiskit_experiments/library/characterization/t1.py index b94df08635..30f601bf16 100644 --- a/qiskit_experiments/library/characterization/t1.py +++ b/qiskit_experiments/library/characterization/t1.py @@ -20,7 +20,7 @@ from qiskit.circuit import QuantumCircuit from qiskit.providers.options import Options -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.library.characterization.t1_analysis import T1Analysis diff --git a/qiskit_experiments/library/characterization/t1_analysis.py b/qiskit_experiments/library/characterization/t1_analysis.py index 960d165546..7c6c9aa38f 100644 --- a/qiskit_experiments/library/characterization/t1_analysis.py +++ b/qiskit_experiments/library/characterization/t1_analysis.py @@ -18,7 +18,7 @@ from qiskit.utils import apply_prefix -from qiskit_experiments.base import BaseAnalysis, Options +from qiskit_experiments.framework import BaseAnalysis, Options from qiskit_experiments.matplotlib import HAS_MATPLOTLIB from qiskit_experiments.curve_analysis import plot_curve_fit, plot_errorbar, curve_fit from qiskit_experiments.curve_analysis.curve_fit import ( diff --git a/qiskit_experiments/library/characterization/t2ramsey.py b/qiskit_experiments/library/characterization/t2ramsey.py index 23e54824e3..5954216951 100644 --- a/qiskit_experiments/library/characterization/t2ramsey.py +++ b/qiskit_experiments/library/characterization/t2ramsey.py @@ -19,7 +19,7 @@ import qiskit from qiskit.providers import Backend from qiskit.circuit import QuantumCircuit -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from .t2ramsey_analysis import T2RamseyAnalysis diff --git a/qiskit_experiments/library/characterization/t2ramsey_analysis.py b/qiskit_experiments/library/characterization/t2ramsey_analysis.py index 7548fffe2f..36eeb11cf3 100644 --- a/qiskit_experiments/library/characterization/t2ramsey_analysis.py +++ b/qiskit_experiments/library/characterization/t2ramsey_analysis.py @@ -18,7 +18,7 @@ from qiskit.utils import apply_prefix from qiskit_experiments.experiment_data import ExperimentData -from qiskit_experiments.base import BaseAnalysis, Options +from qiskit_experiments.framework import BaseAnalysis, Options from qiskit_experiments.matplotlib import HAS_MATPLOTLIB from qiskit_experiments.curve_analysis import curve_fit, plot_curve_fit, plot_errorbar, plot_scatter from qiskit_experiments.curve_analysis.curve_analysis_result_data import CurveAnalysisResultData diff --git a/qiskit_experiments/library/quantum_volume/qv_analysis.py b/qiskit_experiments/library/quantum_volume/qv_analysis.py index 0f2d3896e2..e2507eaf07 100644 --- a/qiskit_experiments/library/quantum_volume/qv_analysis.py +++ b/qiskit_experiments/library/quantum_volume/qv_analysis.py @@ -18,7 +18,7 @@ from typing import Optional import numpy as np -from qiskit_experiments.base import BaseAnalysis +from qiskit_experiments.framework import BaseAnalysis from qiskit_experiments.experiment_data import AnalysisResultData from qiskit_experiments.matplotlib import HAS_MATPLOTLIB from qiskit_experiments.curve_analysis import plot_scatter, plot_errorbar diff --git a/qiskit_experiments/library/quantum_volume/qv_experiment.py b/qiskit_experiments/library/quantum_volume/qv_experiment.py index 35047fcc52..fa42811005 100644 --- a/qiskit_experiments/library/quantum_volume/qv_experiment.py +++ b/qiskit_experiments/library/quantum_volume/qv_experiment.py @@ -28,7 +28,7 @@ from qiskit import QuantumCircuit from qiskit.circuit.library import QuantumVolume as QuantumVolumeCircuit from qiskit import transpile -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from .qv_analysis import QuantumVolumeAnalysis diff --git a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py index 034c245020..11f8173bf5 100644 --- a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py +++ b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py @@ -23,7 +23,7 @@ from qiskit.providers.options import Options from qiskit.circuit import Gate -from qiskit_experiments.base import BaseExperiment +from qiskit_experiments.framework import BaseExperiment from qiskit_experiments.curve_analysis.data_processing import probability from qiskit_experiments.composite import ParallelExperiment from .rb_analysis import RBAnalysis diff --git a/qiskit_experiments/library/tomography/qpt_analysis.py b/qiskit_experiments/library/tomography/qpt_analysis.py index 98383600cd..da87c41592 100644 --- a/qiskit_experiments/library/tomography/qpt_analysis.py +++ b/qiskit_experiments/library/tomography/qpt_analysis.py @@ -12,7 +12,7 @@ """ Quantum process tomography analysis """ -from qiskit_experiments.base import Options +from qiskit_experiments.framework import Options from .basis import PauliMeasurementBasis, PauliPreparationBasis from .tomography_analysis import TomographyAnalysis diff --git a/qiskit_experiments/library/tomography/qst_analysis.py b/qiskit_experiments/library/tomography/qst_analysis.py index 7f7d61caa9..ec63d17ba4 100644 --- a/qiskit_experiments/library/tomography/qst_analysis.py +++ b/qiskit_experiments/library/tomography/qst_analysis.py @@ -12,7 +12,7 @@ """ Quantum state tomography analysis """ -from qiskit_experiments.base import Options +from qiskit_experiments.framework import Options from .basis import PauliMeasurementBasis from .tomography_analysis import TomographyAnalysis diff --git a/qiskit_experiments/library/tomography/tomography_analysis.py b/qiskit_experiments/library/tomography/tomography_analysis.py index dc6557a543..23cb861c6b 100644 --- a/qiskit_experiments/library/tomography/tomography_analysis.py +++ b/qiskit_experiments/library/tomography/tomography_analysis.py @@ -25,7 +25,7 @@ from qiskit.quantum_info.operators.channel.quantum_channel import QuantumChannel from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.base import BaseAnalysis, Options +from qiskit_experiments.framework import BaseAnalysis, Options from qiskit_experiments.experiment_data import AnalysisResultData from .fitters import ( linear_inversion, diff --git a/qiskit_experiments/library/tomography/tomography_experiment.py b/qiskit_experiments/library/tomography/tomography_experiment.py index a096f0c829..4c62ffabc0 100644 --- a/qiskit_experiments/library/tomography/tomography_experiment.py +++ b/qiskit_experiments/library/tomography/tomography_experiment.py @@ -22,7 +22,7 @@ from qiskit.quantum_info.operators.base_operator import BaseOperator import qiskit.quantum_info as qi from qiskit_experiments.exceptions import QiskitError -from qiskit_experiments.base import BaseExperiment, Options +from qiskit_experiments.framework import BaseExperiment, Options from .basis import BaseTomographyMeasurementBasis, BaseTomographyPreparationBasis from .tomography_analysis import TomographyAnalysis diff --git a/test/fake_experiment.py b/test/fake_experiment.py index 3649fc5188..b74722b7ab 100644 --- a/test/fake_experiment.py +++ b/test/fake_experiment.py @@ -14,8 +14,8 @@ from qiskit.providers.options import Options -from qiskit_experiments.base import BaseExperiment -from qiskit_experiments.base import BaseAnalysis +from qiskit_experiments.framework import BaseExperiment +from qiskit_experiments.framework import BaseAnalysis class FakeAnalysis(BaseAnalysis): From b77e659393399f4d20aa2441d00f10f9767e8820 Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 13:24:24 -0400 Subject: [PATCH 11/13] Move ExperimentData to framework --- qiskit_experiments/__init__.py | 3 --- qiskit_experiments/calibration_management/update_library.py | 2 +- qiskit_experiments/composite/composite_analysis.py | 3 +-- qiskit_experiments/composite/composite_experiment_data.py | 2 +- qiskit_experiments/curve_analysis/curve_analysis.py | 3 +-- .../curve_analysis/curve_analysis_result_data.py | 2 +- qiskit_experiments/framework/__init__.py | 3 +++ qiskit_experiments/framework/base_analysis.py | 2 +- qiskit_experiments/framework/base_experiment.py | 2 +- qiskit_experiments/{ => framework}/experiment_data.py | 0 .../library/characterization/t2ramsey_analysis.py | 3 +-- qiskit_experiments/library/quantum_volume/qv_analysis.py | 3 +-- qiskit_experiments/library/tomography/tomography_analysis.py | 3 +-- test/calibration/experiments/test_rabi.py | 2 +- test/curve_analysis/test_curve_fit.py | 2 +- test/data_processing/test_data_processing.py | 2 +- test/data_processing/test_nodes.py | 2 +- test/quantum_volume/test_qv.py | 2 +- test/test_t1.py | 3 ++- 19 files changed, 20 insertions(+), 24 deletions(-) rename qiskit_experiments/{ => framework}/experiment_data.py (100%) diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index 8e29b85c75..1373811315 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -30,7 +30,6 @@ .. autosummary:: :toctree: ../stubs/ - ExperimentData ~composite.BatchExperiment ~composite.ParallelExperiment @@ -65,8 +64,6 @@ from .version import __version__ -from .experiment_data import ExperimentData - from .composite import BatchExperiment, ParallelExperiment # Modules diff --git a/qiskit_experiments/calibration_management/update_library.py b/qiskit_experiments/calibration_management/update_library.py index 0dd0d7f5c7..44f6052178 100644 --- a/qiskit_experiments/calibration_management/update_library.py +++ b/qiskit_experiments/calibration_management/update_library.py @@ -20,7 +20,7 @@ from qiskit.circuit import Parameter from qiskit.pulse import ScheduleBlock -from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.framework.experiment_data import ExperimentData from qiskit_experiments.calibration_management.backend_calibrations import BackendCalibrations from qiskit_experiments.calibration_management.calibrations import Calibrations from qiskit_experiments.calibration_management.parameter_value import ParameterValue diff --git a/qiskit_experiments/composite/composite_analysis.py b/qiskit_experiments/composite/composite_analysis.py index b9f755feeb..2685c2cfec 100644 --- a/qiskit_experiments/composite/composite_analysis.py +++ b/qiskit_experiments/composite/composite_analysis.py @@ -14,8 +14,7 @@ """ from qiskit.exceptions import QiskitError -from qiskit_experiments.framework import BaseAnalysis -from qiskit_experiments.experiment_data import AnalysisResultData +from qiskit_experiments.framework import BaseAnalysis, AnalysisResultData from qiskit_experiments.composite.composite_experiment_data import CompositeExperimentData diff --git a/qiskit_experiments/composite/composite_experiment_data.py b/qiskit_experiments/composite/composite_experiment_data.py index 3ec712980c..8667e30e7c 100644 --- a/qiskit_experiments/composite/composite_experiment_data.py +++ b/qiskit_experiments/composite/composite_experiment_data.py @@ -16,7 +16,7 @@ from typing import Optional, Union, List from qiskit.result import marginal_counts from qiskit.exceptions import QiskitError -from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.framework.experiment_data import ExperimentData class CompositeExperimentData(ExperimentData): diff --git a/qiskit_experiments/curve_analysis/curve_analysis.py b/qiskit_experiments/curve_analysis/curve_analysis.py index d69c384cb1..a31a4d5a43 100644 --- a/qiskit_experiments/curve_analysis/curve_analysis.py +++ b/qiskit_experiments/curve_analysis/curve_analysis.py @@ -23,11 +23,10 @@ import numpy as np from qiskit.providers.options import Options -from qiskit_experiments.framework import BaseAnalysis +from qiskit_experiments.framework import BaseAnalysis, ExperimentData from qiskit_experiments.data_processing import DataProcessor from qiskit_experiments.data_processing.exceptions import DataProcessorError from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.experiment_data import ExperimentData from qiskit_experiments.matplotlib import pyplot, requires_matplotlib, HAS_MATPLOTLIB from qiskit_experiments.data_processing.processor_library import get_processor diff --git a/qiskit_experiments/curve_analysis/curve_analysis_result_data.py b/qiskit_experiments/curve_analysis/curve_analysis_result_data.py index 883523f6d6..f99d7b171e 100644 --- a/qiskit_experiments/curve_analysis/curve_analysis_result_data.py +++ b/qiskit_experiments/curve_analysis/curve_analysis_result_data.py @@ -12,7 +12,7 @@ """ Curve analysis result data class. """ -from qiskit_experiments.experiment_data import AnalysisResultData +from qiskit_experiments.framework import AnalysisResultData class CurveAnalysisResultData(AnalysisResultData): diff --git a/qiskit_experiments/framework/__init__.py b/qiskit_experiments/framework/__init__.py index a0176ada9b..d47bebffb6 100644 --- a/qiskit_experiments/framework/__init__.py +++ b/qiskit_experiments/framework/__init__.py @@ -28,6 +28,8 @@ .. autosummary:: :toctree: ../stubs/ + ExperimentData + AnalysisResultData BaseExperiment BaseAnalysis Options @@ -96,3 +98,4 @@ from qiskit.providers.options import Options from .base_analysis import BaseAnalysis from .base_experiment import BaseExperiment +from .experiment_data import ExperimentData, AnalysisResultData diff --git a/qiskit_experiments/framework/base_analysis.py b/qiskit_experiments/framework/base_analysis.py index 03cb92c422..8aee95c482 100644 --- a/qiskit_experiments/framework/base_analysis.py +++ b/qiskit_experiments/framework/base_analysis.py @@ -22,7 +22,7 @@ from qiskit_experiments.exceptions import AnalysisError from qiskit_experiments.database_service import DbAnalysisResultV1 from qiskit_experiments.database_service.device_component import Qubit -from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.framework.experiment_data import ExperimentData class BaseAnalysis(ABC): diff --git a/qiskit_experiments/framework/base_experiment.py b/qiskit_experiments/framework/base_experiment.py index e12b6a0f52..6a5ceec7d4 100644 --- a/qiskit_experiments/framework/base_experiment.py +++ b/qiskit_experiments/framework/base_experiment.py @@ -25,7 +25,7 @@ from qiskit.providers.basebackend import BaseBackend as LegacyBackend from qiskit.exceptions import QiskitError from qiskit.qobj.utils import MeasLevel -from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.framework.experiment_data import ExperimentData class BaseExperiment(ABC): diff --git a/qiskit_experiments/experiment_data.py b/qiskit_experiments/framework/experiment_data.py similarity index 100% rename from qiskit_experiments/experiment_data.py rename to qiskit_experiments/framework/experiment_data.py diff --git a/qiskit_experiments/library/characterization/t2ramsey_analysis.py b/qiskit_experiments/library/characterization/t2ramsey_analysis.py index 36eeb11cf3..586bfa6719 100644 --- a/qiskit_experiments/library/characterization/t2ramsey_analysis.py +++ b/qiskit_experiments/library/characterization/t2ramsey_analysis.py @@ -17,8 +17,7 @@ import numpy as np from qiskit.utils import apply_prefix -from qiskit_experiments.experiment_data import ExperimentData -from qiskit_experiments.framework import BaseAnalysis, Options +from qiskit_experiments.framework import BaseAnalysis, Options, ExperimentData from qiskit_experiments.matplotlib import HAS_MATPLOTLIB from qiskit_experiments.curve_analysis import curve_fit, plot_curve_fit, plot_errorbar, plot_scatter from qiskit_experiments.curve_analysis.curve_analysis_result_data import CurveAnalysisResultData diff --git a/qiskit_experiments/library/quantum_volume/qv_analysis.py b/qiskit_experiments/library/quantum_volume/qv_analysis.py index e2507eaf07..78ab9964e4 100644 --- a/qiskit_experiments/library/quantum_volume/qv_analysis.py +++ b/qiskit_experiments/library/quantum_volume/qv_analysis.py @@ -18,8 +18,7 @@ from typing import Optional import numpy as np -from qiskit_experiments.framework import BaseAnalysis -from qiskit_experiments.experiment_data import AnalysisResultData +from qiskit_experiments.framework import BaseAnalysis, AnalysisResultData from qiskit_experiments.matplotlib import HAS_MATPLOTLIB from qiskit_experiments.curve_analysis import plot_scatter, plot_errorbar diff --git a/qiskit_experiments/library/tomography/tomography_analysis.py b/qiskit_experiments/library/tomography/tomography_analysis.py index 23cb861c6b..7f7b93222c 100644 --- a/qiskit_experiments/library/tomography/tomography_analysis.py +++ b/qiskit_experiments/library/tomography/tomography_analysis.py @@ -25,8 +25,7 @@ from qiskit.quantum_info.operators.channel.quantum_channel import QuantumChannel from qiskit_experiments.exceptions import AnalysisError -from qiskit_experiments.framework import BaseAnalysis, Options -from qiskit_experiments.experiment_data import AnalysisResultData +from qiskit_experiments.framework import BaseAnalysis, Options, AnalysisResultData from .fitters import ( linear_inversion, scipy_linear_lstsq, diff --git a/test/calibration/experiments/test_rabi.py b/test/calibration/experiments/test_rabi.py index 8f57147dff..ae4b68c813 100644 --- a/test/calibration/experiments/test_rabi.py +++ b/test/calibration/experiments/test_rabi.py @@ -23,7 +23,7 @@ from qiskit.qobj.utils import MeasLevel import qiskit.pulse as pulse -from qiskit_experiments import ExperimentData +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.library import Rabi, EFRabi from qiskit_experiments.library.calibration.analysis.oscillation_analysis import OscillationAnalysis diff --git a/test/curve_analysis/test_curve_fit.py b/test/curve_analysis/test_curve_fit.py index fbbe692cfa..dabdfe7f88 100644 --- a/test/curve_analysis/test_curve_fit.py +++ b/test/curve_analysis/test_curve_fit.py @@ -21,7 +21,7 @@ from qiskit.test import QiskitTestCase from qiskit.qobj.utils import MeasLevel -from qiskit_experiments import ExperimentData +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.curve_analysis import CurveAnalysis, SeriesDef, fit_function from qiskit_experiments.curve_analysis.data_processing import probability from qiskit_experiments.exceptions import AnalysisError diff --git a/test/data_processing/test_data_processing.py b/test/data_processing/test_data_processing.py index 1c04f3e6a8..64d95136b1 100644 --- a/test/data_processing/test_data_processing.py +++ b/test/data_processing/test_data_processing.py @@ -20,7 +20,7 @@ from qiskit.result.models import ExperimentResultData, ExperimentResult from qiskit.result import Result -from qiskit_experiments import ExperimentData +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.data_processing.data_processor import DataProcessor from qiskit_experiments.data_processing.exceptions import DataProcessorError from qiskit_experiments.data_processing.nodes import ( diff --git a/test/data_processing/test_nodes.py b/test/data_processing/test_nodes.py index e01dba7b4d..2c57728f7b 100644 --- a/test/data_processing/test_nodes.py +++ b/test/data_processing/test_nodes.py @@ -22,7 +22,7 @@ from qiskit.result.models import ExperimentResultData, ExperimentResult from qiskit.result import Result from qiskit.test import QiskitTestCase -from qiskit_experiments.experiment_data import ExperimentData +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.data_processing.nodes import SVD, AverageData, MinMaxNormalize from qiskit_experiments.data_processing.data_processor import DataProcessor diff --git a/test/quantum_volume/test_qv.py b/test/quantum_volume/test_qv.py index f97d116d7d..694c3e0a3e 100644 --- a/test/quantum_volume/test_qv.py +++ b/test/quantum_volume/test_qv.py @@ -19,7 +19,7 @@ from qiskit.quantum_info.operators.predicates import matrix_equal from qiskit.test import QiskitTestCase from qiskit import Aer -from qiskit_experiments import ExperimentData +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.library import QuantumVolume SEED = 42 diff --git a/test/test_t1.py b/test/test_t1.py index 40bde30a50..66050b02d6 100644 --- a/test/test_t1.py +++ b/test/test_t1.py @@ -14,7 +14,8 @@ """ from qiskit.test import QiskitTestCase -from qiskit_experiments import ExperimentData, ParallelExperiment +from qiskit_experiments.framework import ExperimentData +from qiskit_experiments.composite import ParallelExperiment from qiskit_experiments.library import T1 from qiskit_experiments.library.characterization import T1Analysis from qiskit_experiments.test.t1_backend import T1Backend From 0dde145b065db85bbb2c12be5dc1f90ecdb98c3d Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 13:44:29 -0400 Subject: [PATCH 12/13] Move `composite` into `framework` --- docs/apidocs/composite.rst | 6 - docs/apidocs/index.rst | 1 - docs/tutorials/qst_example.ipynb | 10 +- docs/tutorials/qv_example.ipynb | 2 +- docs/tutorials/rb_example.ipynb | 108 ++++++++++-------- docs/tutorials/t1.ipynb | 2 +- qiskit_experiments/__init__.py | 14 +-- qiskit_experiments/framework/__init__.py | 29 ++++- .../{ => framework}/composite/__init__.py | 34 +----- .../composite/batch_experiment.py | 0 .../composite/composite_analysis.py | 2 +- .../composite/composite_experiment.py | 0 .../composite/composite_experiment_data.py | 0 .../composite/parallel_experiment.py | 0 .../randomized_benchmarking/rb_experiment.py | 3 +- qiskit_experiments/test/t2ramsey_backend.py | 2 +- test/calibration/experiments/test_rabi.py | 3 +- .../test_rb_analysis.py | 4 +- test/test_composite.py | 2 +- test/test_t1.py | 3 +- test/test_t2ramsey.py | 2 +- test/test_tomography.py | 2 +- 22 files changed, 107 insertions(+), 122 deletions(-) delete mode 100644 docs/apidocs/composite.rst rename qiskit_experiments/{ => framework}/composite/__init__.py (57%) rename qiskit_experiments/{ => framework}/composite/batch_experiment.py (100%) rename qiskit_experiments/{ => framework}/composite/composite_analysis.py (96%) rename qiskit_experiments/{ => framework}/composite/composite_experiment.py (100%) rename qiskit_experiments/{ => framework}/composite/composite_experiment_data.py (100%) rename qiskit_experiments/{ => framework}/composite/parallel_experiment.py (100%) diff --git a/docs/apidocs/composite.rst b/docs/apidocs/composite.rst deleted file mode 100644 index 63972ed91e..0000000000 --- a/docs/apidocs/composite.rst +++ /dev/null @@ -1,6 +0,0 @@ -.. _qiskit-experiments-composite: - -.. automodule:: qiskit_experiments.composite - :no-members: - :no-inherited-members: - :no-special-members: \ No newline at end of file diff --git a/docs/apidocs/index.rst b/docs/apidocs/index.rst index 1df3649f19..31921c8b33 100644 --- a/docs/apidocs/index.rst +++ b/docs/apidocs/index.rst @@ -13,7 +13,6 @@ Package Modules main framework library - composite data_processing curve_analysis calibration_management diff --git a/docs/tutorials/qst_example.ipynb b/docs/tutorials/qst_example.ipynb index 22513353f4..631b00028f 100644 --- a/docs/tutorials/qst_example.ipynb +++ b/docs/tutorials/qst_example.ipynb @@ -13,7 +13,7 @@ "source": [ "from pprint import pprint\n", "import qiskit\n", - "from qiskit_experiments import ParallelExperiment\n", + "from qiskit_experiments.framework import ParallelExperiment\n", "from qiskit_experiments.library import StateTomography\n", "\n", "# For simulation\n", @@ -405,15 +405,15 @@ ], "metadata": { "interpreter": { - "hash": "42e50baa22dbe56fc7f4f6bf32ac20952839a6a23dcf2ef84eded7e8cac03444" + "hash": "c45f46a7fd077198472649b02925a2e599779de14e258f4f9ba8eb1d4e684fd2" }, "kernelspec": { - "display_name": "Python 3.8.5 64-bit ('py38': conda)", - "name": "python3" + "name": "python3", + "display_name": "Python 3.7.7 64-bit ('qiskit-dev': conda)" }, "language_info": { "name": "python", - "version": "" + "version": "3.7.7" } }, "nbformat": 4, diff --git a/docs/tutorials/qv_example.ipynb b/docs/tutorials/qv_example.ipynb index 57d5fba942..69c1929769 100644 --- a/docs/tutorials/qv_example.ipynb +++ b/docs/tutorials/qv_example.ipynb @@ -20,7 +20,7 @@ "metadata": {}, "outputs": [], "source": [ - "from qiskit_experiments import BatchExperiment\n", + "from qiskit_experiments.framework import BatchExperiment\n", "from qiskit_experiments.library import QuantumVolume\n", "from qiskit import Aer\n", "from qiskit.providers.aer import AerSimulator\n", diff --git a/docs/tutorials/rb_example.ipynb b/docs/tutorials/rb_example.ipynb index e26639f8fa..bb790a2059 100644 --- a/docs/tutorials/rb_example.ipynb +++ b/docs/tutorials/rb_example.ipynb @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, "source": [ "# Randomized Benchmarking\n", "\n", "A **randomized benchmarking (RB)** experiment consists of the generation of random Clifford circuits on the given qubits such that the unitary computed by the circuits is the identity. After running the circuits, the number of shots resulting in an error (i.e. an output different than the ground state) are counted, and from this data one can infer error estimates for the quantum device, by calculating the Error Per Clifford. \n", "See [Qiskit Textbook](https://qiskit.org/textbook/ch-quantum-hardware/randomized-benchmarking.html) for an explanation on the RB method, which is based on Ref. [1, 2]." - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -18,7 +18,7 @@ "source": [ "import numpy as np\n", "from qiskit_experiments.library import StandardRB, InterleavedRB\n", - "from qiskit_experiments.composite import ParallelExperiment\n", + "from qiskit_experiments.framework import ParallelExperiment\n", "from qiskit_experiments.library.randomized_benchmarking import RBUtils\n", "import qiskit.circuit.library as circuits\n", "\n", @@ -27,11 +27,12 @@ "from qiskit.test.mock import FakeParis\n", "\n", "backend = AerSimulator.from_backend(FakeParis())" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "# 1. RB experiment\n", "\n", @@ -57,14 +58,15 @@ "- `alpha`: The depolarizing parameter. The fitting function is $a \\cdot \\alpha^m + b$, where $m$ is the Clifford length.\n", "\n", "- `EPG`: The Error Per Gate calculated from the EPC, only for 1-qubit or 2-qubit quantum gates (see Ref. [3])." - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Running 1-qubit RB experiment" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -72,8 +74,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -89,11 +91,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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HvvLeTjToHzggEhmZH+QDg74N/CK5/WFUGTkZ/nCP93dv9+7dMnjwYElISJCEhAR58cUXZebMmdKoUSN59NFHyzaTUnQw6tu3r9SsWVMiIyOlW7duMnPmTL/jmzdvFkDefffdvH2vvvqqNGnSRMLDw6VZs2by8MMP5wVzEfuzLeShP+/nvnLlSunTp48kJCRIRESEJCYmyi233CJ//vmn3/v/9ttv8re//U3i4+MlMjJS2rRpI3fccYff+wXzxhtvSPPmzcXlcknnzp0LdOx79NFHg+bP93M2b9680M8BSPPmzUt8n73XCwz655xzjpxzzjl++0ryXps2bRJjjEydOrXI9/QqbMjev//9b2nXrp24XC6pU6eO9O/fX2bPnl3ktbZu3SoXXnihREVFSUJCgtx5552SkZFRaHoN+uWjqKBvpPxryCtMly5d5ESWN504Ef75TyEtzVbfN2lyhO3ba/iliYkRXn7ZUEa1cgrb5tmnT5+KzsYJ6dKliy6tq/LofS4/vn9rJ8P/jrJgjEkWkaBrDuuCO0XYtQuOHct/HRjwwR7fFZIxBEoppdSJ0aBfhAYNIDo6/3VMTME5pKOjbTqllFKqstOgX4TLLwe3O79nftu2BwukcbsNPh2BlVJKqUpLg34RatWCe+7x4HLZSThOPXW/3/Hw8GzuucdDIXNcKKWUUpWKBv1iPP64oVevFYSFZdO27QG8nWYdjhy6d1/F44/rGH2llFJVgwb9Ygl/+9sqRo9+hWbNjlC/PoDh/PO/4dxzNwSdXlSpYIYPHx50rfPu3bvnpUlMTMzbHx0dTceOHZkwYYLfdbKysnj++ec544wziI6OJiEhge7du/PWW2/lTV4TCvPmzaNnz57Url2bqKgoTj311GLXhAf47bffGDx4MHXq1CEuLo7u3bvzf//3f3nHJ02aFPQ+GWNYvnx5gevt27ePxo0bY4xh3759J/y5RIRx48bRqFEjoqKi6NOnj980sx6Ph7/+9a80a9aMyMhIGjZsyNVXX82OHTtO+L29Dhw4wJ133smpp55KVFQUTZs25dZbb2X//v1Fnrd27Vouv/xyWrZsiTGm0OWB33zzTVq0aEFkZCRJSUmFzuYoIlxwwQUYY5g2bdqJfiwAPv30U9q3b09ERATt27fns88+KzTtyJEjMcaU6PdKlYwG/WI4HA7q169Px46Nad48miuusCX7I0fakZBQl+xsvYWq5Pr37++33nlKSgozZ870S/PII4+QkpLCL7/8wuDBgxk5ciRTp04FbMA/77zzeOqppxgxYgQLFy4kOTmZUaNG8e677xa70l5Zio2N5a677mL+/PmsW7eOhx9+mEcffZQ333yzyPMuuugiMjIy+O6771i5ciVnn302l1xyCZs2bQJgyJAhBe7R1VdfTcuWLQtM5wswYsQITj/99DL7XM899xwvvvgir732GsuXL6devXoMGDDAbyW4fv368fHHH7NhwwY+/fRT/vjjDy699NJCr7l169ZSTde9c+dOduzYwXPPPcfq1av54IMPmD9/PkOHDi3yvGPHjpGYmMiTTz5Z6Pz2U6dO5e6772bMmDGsXLmSnj17csEFF7Bt27YCaV988cVC11o4HosXL2bIkCEMGzaMVatWMWzYMP7+97+zdOnSAmmnTZvGsmXL8maEVGWksAH8J8NWlqvsud1u+eGHH+STT+ykPE2aeGTDBjuBjypbJ8MEG8F+94JNghIo2CQtrVu3liuvvFJERJ599lkxxsjy5csLnOt2u4tckz6Y4iaNKa1LL700L6/B7N27VwD5/vvv8/ZlZ2eLw+GQTz75JOg5aWlpUrNmTXnqqacKHHvllVekX79+8t133wngtxKfiMjChQuld+/eEhUVJY0aNZJbbrmlyHvk8XikQYMG8uSTT+btO3bsmMTGxsr48eMLPe+LL74QIG/GwECrV68W++/2+H399ddijCnxz7hDhw5BJ3Tq2rWr3HjjjX77TjnlFHnggQf89i1btkyaNGkiu3fvFqDAz2f79u0yZMgQiY+Pl/j4eBk0aJD89ttvRebpiiuuKDBT4Lnnnlvgd2bLli3SqFEjWbduXbErEOrkPAVRxOQ8WkwtIe/TbteuULs2bN9u+PNPu+qeUuUpMjIyb0W3Dz/8kP79+wct8TocDmrUKDiXhFdsbGyBrWHDhnnf+65KdzxWrlzJokWLOOeccwpNU7t2bdq1a8fkyZNJTU3F7XYzYcIE4uLiOOuss4Ke8/HHH5OWlsb1119f4P2effZZ3n///aCl0dWrVzNw4ED++te/8vPPPzN9+nRWrVpV4Dq+Nm/ezK5du/wWfomKiqJ3794sWrQo6DkHDhzgww8/pFu3bkEXDiorR44cISIigmjfccSllJWVRXJycoGFbQYOHOj3+Y4ePcpVV13FhAkTqFevXoHrHDt2jL59+xIZGcm8efNYvHgxDRs2pH///hzzndwkwOLFiwu893nnnef33jk5OQwdOpSHH36Ydu3aHe9HVYWoCqvsVSo1a8JZZ8GXX8L8+dCkCWRnQxEraSqVJ9gCM7fffjvPPvtsgbQ5OTl88MEHrF69mltvvRWwC9gc74xjwZZyTU1NzctPVFTUcV23SZMm7N27l5ycHB599FFuueWWQtMaY5gzZw6XXnopNWrUwOFwkJCQwKxZs/xWnfM1YcIELrroIr+V8NLS0rjyyit57bXXaNy4MRs3bixw3vPPP8+QIUO455578vb95z//4YwzzmDPnj1Bg9mu3Jm26tf3X827fv36Bdrs77//fl5//XWOHTtG9+7d+eqrr/yO+/6cJbfvj+++Xr16MWvWrKCfOdChQ4cYO3ZsgVXzSsu76l2wz/ftt9/mvb7llls4//zzC30QnDJlCiLCu+++m9ds8dZbb1GvXj2++uorrrjiiqDn7dq1K+h77/KZ4ezRRx+lTp06eb/zqmxp0C+lqCjo3dsG/e+/h2HD7Kx8RSyAplSe3r17F+iYF7iu+UMPPcS4cePIzMzE5XIxevRoRo4cCeQHj+MRbNW5spgedsGCBaSmprJkyRLuv/9+WrRowTXXXBM0rYhw2223Ubt2bRYsWEBUVBRvv/02f/vb31i+fHmB1dvWrl3L4sWL+frrr/3233XXXZx99tlFro6XnJzM77//ntcfwvv+AJs2bWLOnDl59xVg1qxZOJ3OEn/u0aNHc8MNN7B161Yee+wxrr76ambNmpUXBH0fsjZu3MigQYP89pX0ISs1NZWLL76Yxo0b89xzz5U4f8dr8uTJ/Pzzz0VOI52cnMzmzZsL/O4cO3aMTZs2sW3bNr/loMeMGcOYMWOKfe+5c+cyadKkoA+oqmxo0C+l8HAb9B0OWLYMcnLg8GEN+qpkoqOjgwZfX6NGjeKGG24gOjqahg0b+nUAa9OmDevXrz+u9y5uCdvSlDx9eTuMderUid27dzNu3LhCg/7333/PjBkzOHDgQN7Djnd51XfffZeHH37YL/2ECRNo2rQp559/vt/+7777jj///JP33nsPyA/mDRo04P777+epp57C4/Fw44038s9//rNAPho3bkzHjh3p1q2b376UlBQAdu/e7beW/O7du/1qGgDq1KlDnTp1aNOmDe3ataNp06b8+OOP9OrVC/B/yMrIyCiwryRSU1MZNGgQAF999dUJNx/UqVMHp9PJ7t27/fb7fr7vvvuOdevWFfh9GTJkCD169ODHH3/E4/Fw+umnM2XKlALvkZCQQI0aNfwCd0JCAmB/PkW999y5c0lJSfGr9XG73dx///288sorbN++/fg/vAI06JeaMdC8OZx2GqxaZQN/jx42+J9ArZtSeWrXrl1ocLjqqqt48MEHWbFiRYF2fY/HQ2pqaqHt+uVVvR+Yh6KGDXrbewPb4B0OBx6Px29fRkYGkydP5q677iqQfvbs2WRl5U+LvXz5cq6//nrmzp1L69atAejcuTNr164tMtAGllRbtGhBgwYNmDNnDmeeeWZePhYsWMDzzz9f6HW8eS/LIZNHjx7lggsuQESCNgsdD5fLRVJSEnPmzOHvPlOJzpkzJ6/W5KmnnuLee+/1O69Tp0688MILXHLJJYC9tx999BF16tQpUFPlFey+9+jRgzlz5jB69Gi/9+7ZsycAt912G5dffrnfOeeddx5Dhw7lJl3VrGwU1sPvZNjKsve+SH7P0NRUkTvvtL34r75aZMMGkVJ2mlZFOBl64BbWe79///5Frr1eXE/ljIwM6dWrl8THx8urr74qK1eulD/++EM+/fRT6dGjR6nv3Yn03v/3v/8tM2bMkN9++01+++03efvttyUuLk7uv//+vDTTp0+Xtm3byvbt20XE9t6vXbu2XHbZZbJq1SrZsGGD3HvvvRIWFibJycl+1588ebI4HA7ZunVrsXnxLtnr23v/559/lqioKBk5cqT89NNPsnHjRpkxY4bcfPPNRV7rmWeekRo1asinn34qq1evliFDhkjDhg3z7tWiRYvk9ddfl1WrVsmWLVvku+++k549e0piYqJf733fn/HGjRsL/Nz3799faB6OHDki3bt3l/bt28tvv/3md57v0sH9+vXz63WfmZkpK1eulJUrV0qrVq1k5MiRsnLlStm4cWNemilTpkh4eLhMnDhR1q1bJ3fddZfExMTIli1bCs0PAb3309LSpE2bNtK7d2+ZO3eu/PHHHzJv3jwZNWpUkT34Fy5cKE6nU/71r3/J+vXr5emnn5awsDBZsmRJoedo7/3So4je+xUemMtzK6+gn50tMm2avXuNGols2iQSsNS3OgEnwx9uYUGfIOuhN27cOC9Ncf/gRGzgf+aZZ+S0006TyMhIiY+Pl27dusn48eOLXUs+0IkE/Zdfflnat28v0dHRUqNGDTnjjDPkjTfeELfbnZfm3XffFUA2b96ct2/58uUycOBASUhIkLi4OOnatat89dVXBa7fu3dvueCCC0qUl2BB3/te5513nsTFxUl0dLR07NhRxo4dW+S1PB6PPProo9KgQQOJiIiQ3r17y+rVq/OOr1y5Uvr06SMJCQkSEREhiYmJcsstt8ifAf8Egv2sfbdzzjmn2M8TbPP9+2jevLlcd911ea83b95covd64403pHnz5uJyuaRz584yb968Iu9JYNAXEdm1a5cMHz5c6tatKy6XSxITE2XEiBEFfgaBPvnkE2nbtq2Eh4fLqaeeKp9++mmR6TXol15RQd/Y4yenLl26SFmuae67VvMff9hq/T174JtvIDERWrWCUvQDUoU4GdbE9l3juzLTdd5DQ+9z+fH9WzsZ/neUBWNMsogUHNeLzsh33GrVgr597fezZ9uvuX11lFJKqUpJg/5xioqCfv3s9998YzvxHT5csXlSSimliqJB/zhFREDPnhAdDWvWwP79kJYGAR2QlVJKqUpDg/5xMgYSEiB3SC5z5oCIVvErpZSqvDTon4C4uPx2/W++sZ34fBbiUqpSGD58OBdddFFFZ6PK6tixY6FL1CpV1WjQPwGRkXDOOXZ2vsWLISsLjhzRKn4VesOHDw+6/vyqVat49dVX+eCDD/LS9unThzvuuKMCc6tKoqRr3nulpKRw1VVXceqpp+J0Ohk+fHiBNJ988gldunQhPj6emJgYTj/99LxZDYP517/+hTGmwO9LsN81Ywy33377cX1WFToa9E9AeDjUqwdnnmkX3Zk71wZ8reJXFaF///4F1qHv2LEjNWvWLHTWtOrCd/a+qqA0a957ZWZmUqdOHR544AG/6YV91a5dm4cffpglS5bwyy+/MGLECG644QZmzpxZIO2SJUuYMGECp512WoFjgb9nM2bMACh0oR1VeWjQP0Hx8flV/HPm2F78WsWvKkJERAQNGjTw28LCwvyq94cPH868efN44403MMZQo0YNtmzZUuBaI0aMoG7dujz99NN5+zZv3ozL5fKrNQg0ffp0TjvtNKKiokhISOCcc87xm2v9ueeeo0GDBsTGxnLttdcybtw4EhMT844Ha4oYN24cHTt2zHu9fPlyBg4cSJ06dahRowZnn302ixcv9jvHGMMbb7zBZZddRkxMTN5iLzNmzCApKYnIyEhatGjBQw895PdAsGfPHi655BKioqJo3rw577zzThF3vPy89NJLDB8+nJtuuol27drx2muv0bBhQ/7zn/8Uek5iYiL//ve/GT58eN5c94H69evH4MGDOfXUU2nVqhV33303p512WoFahMOHDzNs2DDeeecdatWqVeA6gb9nX3zxBW3atClyWWVVOWjQP0HR0eCdC+L77227vlbxq8rq1VdfpUePHowYMYKUlBQ2btxI06ZNC6R76aWX+Ne//sXYsWPZsGEDAI888ght27blqquuCnrtXbt2ceWVV3Ldddexfv165s+f77fwzscff8zDDz/MY489xk8//UTbtm156aWXSv0Zjh49yjXXXMOCBQtYtmwZp59+OoMGDWL//v1+6R577DEGDRrE6tWruf322/nmm28YNmwYd9xxB2vXruWdd95h2rRpfqu/DR8+nN9//51vv/2Wzz//nPfffz/oQ5GvBQsWEBsbW+T2wgsvlPjzlXTN+xMlInz33Xds2LCB3r17+x27+eabufzyy+nrLdEUITU1lSlTpujc+FWELhFzgiIioGVLaN0aNm60C/D85S+2ij86uqJzp6qTwEVZgq2aV7NmTVwuF9HR0TRo0ICjR48GXU62Vq1a3HjjjUybNo3333+foUOH8r///Y/p06cXWPzGa+fOnWRnZ3P55ZfTvHlzAL8S+iuvvMJ1112Xt5ztQw89xA8//MDvv/9eqs/ZzztBRq7XXnuNTz/9lFmzZnH11Vfn7R8yZAg33nhj3uvrrruO0aNHM2LECABatWrFs88+y9VXX83zzz/Pxo0bmTVrFj/++CNnnXUWAO+99x4tW7YsMj9dunQpdinY8PDwEn++kq55f7wOHz5M48aNyczMxOl08sYbb3DBBRfkHZ84cSK///57kTU6vv73v/+RlZXFddddd8J5U+VPg/4JMsb24u/Xzwb92bMhKcmW9jXoq1Dq3bs3EyZMyHtdFqvmXXvttTz44IOsXr2aM888M2+VtQ8//LDAWvQ9e/akf//+dOzYkYEDB9K/f38uv/xy6tatC8D69ev9gjDYVddKG/T37NnD2LFj+eGHH9i9ezdut5v09PQC7d2BqxAmJyezbNkynn322bx9Ho+H9PR0du3axfr163E4HHTt2jXvePPmzWnUqFGR+YmKiip2ydyjlajNLy4ujlWrVpGamsp3333HqFGjSExM5Nxzz2XDhg2MGTOGH3/8scQPKhMnTuSSSy7J+zmryk2DfhnwDt176y07dG/cONuuX6+e7dmvVChER0eXer324gwePJhbbrmFGTNm+JUy//rXvxZYi97pdDJ79myWLFnC7Nmz+e9//8uDDz7IvHnz+Mtf/lKi93M4HASuB5Kdne33+rrrrmP37t28/PLLJCYmEhERwbnnnlugs15MTIzfa4/Hw6OPPuq3pKyXb8AyxpQor14LFizwKykHc8899/DYY4+V6HolWfP+RDgcjrzfk9NPP53169fz9NNPc+6557J48WL27dtHhw4d8tK73W7mz5/P+PHjSUtLIyIiIu/YqlWrWLFihV/fD1W5adAvA5GRcNppUL8+bN9uZ+hr0QLS0yHg/45SFc7lcuF2u0uUNjo6mtatW2OM4dxzz83bHxcXF3QBGWMMPXr0oEePHjzyyCN06NCBqVOn8pe//IV27dqxZMkSrr/++rz0S5Ys8Tu/bt26BarKA1//+OOP/Pvf/+bCCy8EbDBMSUkp9rN07tyZX3/9tdAHo1NPPRWPx8OyZcvy1nfftm0bO3fuLPK6ZV29X5I178uSx+MhMzMTsA95gTUkI0aMoHXr1owZMwaXy+V3bMKECbRo0YL+/fuXeb5U+dCgXwacThvcBw6EyZPhq69g1Chbxa9BX1U2iYmJLFu2LK+DWkxMTKHt9HPmzOGnn34iNjaWY8eOEV1Em9WSJUv49ttvOe+886hfvz4rV67kzz//pH379gDcfffdXHvttZx55pn06dOHadOmsXTpUr+e5v369eO5557jnXfeoXfv3kyfPp2FCxfSpEmTvDRt2rThgw8+oFu3bqSlpXHfffcVCEbBPPLII1x00UU0b96cK664grCwMNasWcOyZct47rnnaNu2Leeffz4jR45kwoQJREVFMWrUqGKbScqjen/UqFFcc801dO3albPOOovx48ezc+dObrnllrw01157LQDvv/9+3j7vw8eRI0dwOBysWrUKl8uV9zN46qmn6NatGy1btiQzM5OZM2cyefJkXnvtNQDi4+MLDO+MiYkhISHBr38GwLFjx/jwww+57777Sl07oiqOVj6XkZo1bdAH+PprcLkgNRVKWKBSKmTuvffevEDQokWLIsd+P/TQQ1xyySUkJCQwffr0Iq9bs2ZNFi5cyEUXXUTr1q255557GDt2bF7nuiFDhjBu3DgeeughzjjjDFavXs2oUaP8rnHeeefx6KOP8tBDD5GUlMSWLVu47bbb/NK88847pKamkpSUxJVXXsn111/vN+yvMOeddx5ff/01P/zwA127dqVr164888wzNGvWLC/NpEmTaNGiBf369ePiiy/mqquuKtG1y9qQIUN45ZVXePLJJzn99NP58ccfmTlzZl4HSbC1EIE/uzPOOIMzzjiDBQsWMGPGDM444wwGDRqUdzw1NZVbb72VDh06cNZZZ/Hpp5/y/vvv+z1MlNTUqVNJS0vL6xipqggROWm3pKQkKUs//PBDoccyM0XWrROpW1cERL75RuTXX0VSU8s0C9VCUfe5qijr373ycuTIkUKPTZ8+XRwOh6xZs0bGjBkjAwYMKPP3f/7556V58+Zlft3Kpqj7rE6M79/ayfC/oywAK6SQuFghJX1jzG3GmM3GmAxjTLIxplcx6W83xqw3xqQbYzYYY64NVV5LyuWyw/fOP9++/uorO2OfLrerqiKPx8PYsWMZOnQoHTp04Nprr+W7777jP//5D/v27avo7CmljlPIg74xZgjwKvA0cAawCJhljGlWSPpbgWeBx4EOwKPAG8aYi0OT45KrUQMGDLDff/WVVvGrquvDDz9kw4YNeT3O27ZtyxNPPMHYsWMZPXp0BedOKXW8KqKkPwqYJCITRWS9iNwJpAC3FpL+GmCiiHwkIn+IyBRgAnB/iPJbYjEx0Lkz1K4NmzfDr7/a/ceOVWy+lCqta665huzsbFq1apW3b8yYMezbt4933323zN7n3nvvLXbGO6VU2Qlp0DfGuIAkYHbAodlAz0JOiwACl7BJB7oaY0o+DiYEIiJs6d5bxe/t0HfwYMXmSymllILQl/TrAE5gd8D+3UBhs058A1xvjDnTWF2AG4Hw3OtVGg6HnajH24vf266fnm5X4VNKKaUqUlUYp/8E9oFgEWCwDwjvAfcBBZa1McbcDNwMdq7quXPnlllGUlNTi72exwO1axtq1OjJ77+HM3PmMpo1O8b27XY8vypeSe5zZZeRkVGppl4tjNvtrhL5rOr0PpefjIyMvP8XJ8P/jvIW6qC/D3AD9QP21wd2BTtBRNKxJf2RuelSsEH9KLA3SPoJ2DZ/unTpIn28S+CVgblz51Lc9Twe2LQJBg2CKVNgw4aunHce5OTYhXlU8Upynyu7Fi1alGiFsoqWkZFBZGRkRWfjpKf3ufy0aNEi7//FyfC/o7yFNOiLSJYxJhkYAHzic2gA8Gkx52YD2wGMMVcCX4lIpVvA1uGwHfrOO88Gfe/sfOnpduU9/buvHmbMmFHRWSgR/ScZGnqfVWVREdX7LwGTjTHLgIXALUAjYDyAMeZ9ABG5Nvd1G6AbsASohe393xGotOs41qwJZ54J8fGwYYPtxd+smR2+p0FfKaVURQn5kD0RmQr8A3gYWAWcDQwSka25SZrlbl5ObKD/GZgDRAI9RWRLaHJcepGRtgNf7nogfPaZ3XfoEAQsIKaUUkqFTIXMyCcib4pIoohEiEiSiMz3OdZHRPr4vF4vImeISLSI1BSRwSKyoSLyXVJOJ0RHw8W50wd9/rn96nbban6llFKqIuiCO+UkPh7+8hdo1Mgut5ucDGFhduU9pZRSqiJo0C8nkZG2U9/gwfb19Ol235EjOi2vUkqpiqFBv5yEhdkg723XnzHDDtsDSEuruHwppZSqvjTol6P4eGjVCtq2tVPxzptnp+o9cKCic6aUUqo60qBfjqKi7FdvFf9nn9le/ZmZdlNKKaVCSYN+OQoPt1X8F11kX3/zja3adzpBZ+RUSikVahr0y1mtWlCvHnTpYofrffNN/ph9T6WbT1AppdTJTIN+OYuOthPyXHqpff3ZZ7ZXv47ZV0opFWoa9MtZWJht2z/vPFutP28e7NsHLpd26FNKKRVaGvRDID4e4uKgb19bwp8+3fbiP3YMsrIqOndKKaWqCw36IeCt4h8yxL7++GP72um0i/AopZRSoaBBPwTCwuxyu716QUICrF8Pv/xiS/sHD+oiPEoppUJDg36IxMeDMfkd+qZOtSX9nBzt0KeUUio0NOiHiHeiHm8V/+efQ0aGduhTSikVOhr0Q8TphNhYOy1vx45w+LAdsx8RYSfs0Q59SimlypsG/RCqWROys/079IEdt69L7iqllCpvGvRDKCrKtusPHmyr9efNg5077X6doU8ppVR506AfQg6H7dAXFQUDB9pe+9Om2f0ejy65q5RSqnxp0A+xuDjbY99bxT91qg3+ERGwf3/F5k0ppdTJTYN+iEVG2tX3zj4bGjSALVtgyRK7LyPDbkoppVR50KAfYsbYlfd8O/R98IH9Gh5ue/UrpZRS5UGDfgWIibFt+MOG2fb8r7+2i/BERtqgn5NT0TlUSil1MtKgXwFcLtuZr25d6NfPlvqnTrW1AABHj1Zs/pRSSp2cNOhXkFq1IDMTrr3Wvv7gA1v6j4qyM/Tp8D2llFJlTYN+BYmOtiX7c86BJk1g2zaYPz9/Pv5jxyo6h0oppU42GvQriNMJNWrYqv1hw+y+99+3XyMibBu/UkopVZY06FegmjVtqX7oULv87pw5doY+l8tW/evqe0oppcqSBv0KFBlpg31CAlxwgW3H/+gjeyw8HA4erNj8KaWUOrlo0K9A3jH7GRlwzTV23//+Z6v8IyNtL35dfU8ppVRZ0aBfweLibAm/Z0+77O6uXTB7tj3mdOrqe0oppcqOBv0KFh5uJ+vJyoLhw+2+//7Xfo2KslX8bneFZU8ppdRJRIN+JZCQYIP+FVfYkv/SpfDLL7b6X0RL+0oppcqGBv1KICrKduiLirI9+QHefjv/2P79OlmPUkqpE6dBvxIwxpb2MzJgxAg7H/+XX8Lu3bZd3+2G1NSKzqVSSqmqrkKCvjHmNmPMZmNMhjEm2RjTq5j0VxljVhljjhljdhljPjDGNAhVfkMhNtaW5ps1g/PPtz34vZP1REXZyXpEKjaPSimlqraQB31jzBDgVeBp4AxgETDLGNOskPRnAZOB94AOwGCgPfBhKPIbKuHhNvBnZMCNN9p9779vX4eF2YcALe0rpZQ6ERVR0h8FTBKRiSKyXkTuBFKAWwtJ3wPYLiIvi8hmEVkCvAZ0C1F+Q6ZWLRvcu3aFTp3swjuff26PRUbC3r1a2ldKKXX8Qhr0jTEuIAmYHXBoNtCzkNMWAg2NMRcbqw5wJTCz/HJaMbwd+jye/NL+22/bQB8ebh8IdCEepZRSx8tICIuOxphGwA7gHBGZ77P/EWCYiLQt5LzLgElAFBAGzAEuEZECs9MbY24GbgaoX79+0pQpU8os/6mpqcTGxpbZ9YJxu+18/Dk5hmuu6cHBgy6efXYVZ5xxKK+U73KVaxYqXCjus7L0XoeG3ufQ0Pts9e3bN1lEugQ7FhbqzJSWMaY9tjr/CeAboCHwPPAWcG1gehGZAEwA6NKli/Tp06fM8jJ37lzK8nrB5OTApk22ff+GG+CFF2DWrNO5+mp7/MgRaN7c1gqcrEJxn5Wl9zo09D6Hht7n4oW6TX8f4AbqB+yvD+wq5JwHgWUi8ryI/CIi3wC3AdcYY5qUX1YrRlgYxMfbDnzDh0N0NMydC2vW2OMREbZtXymllCqtkAZ9EckCkoEBAYcGYHvxBxONfVDw5X19Us4zEB9vS/y1apFXwn/9dfs1IsK26+uyu0oppUqrIoLmS8BwY8yNxph2xphXgUbAeABjzPvGmPd90s8ALjHG3GqMaZk7hO/fwE8isi3kuQ+BiAhbfZ+VBTfdZDvxff01/PFH/nEt7SullCqtkAd9EZkK/AN4GFgFnA0MEpGtuUma5W7e9JOww/zuANYA04DfgEtCleeKULu2reJv1Aj+9jfbo3/8eHssIsKW9LUnv1JKqdKokOpxEXlTRBJFJEJEknx78otIHxHpE5D+NRHpICLRItJQRIaJyPaQZzyEoqNtCd/thltvtVP1fvKJnZoX8kv7Om5fKaVUSZ2UbeInA2NsaT89HU45BS64wFb3exficbnsMW3bV0opVVIa9CuxuDj7VQRuv91+//77cPiw/T4yEvbs0dK+UkqpktGgX4k5nbYnf3o6nH46nH22nX//3XftcZfLtvtr275SSqmS0KBfycXH23Z9gDvvtF8nToSjR+33UVFa2ldKKVUyGvQrOZfLVvOnp8NZZ0H37nDoEPz3v/Z4eLht6/c+BCillFKF0aBfBSQk2MV2jIFRo+y+CRPslLxgS/t799phfUoppVRhNOhXAZGRdghfZqYt7ffoYTvzeUv7YWG2CcDbwU8ppZQKRoN+FVGnjq3GB7jnHvt1woT8QB8dDfv25bf/K6WUUoE06FcRUVF2Qp7sbFvS79nTVu97x+07cn+SBw9WXB6VUkpVbhr0qwhjbGk/I8O+vvde+3XiRNuxD2xp/8AB+2CglFJKBSpV0DfGdDfGjDPG/J8x5hdjzEZjzGJjzCRjzAhjTK3yyqiCmBjbWz8nB7p1s+P2jx611fxgHwwcDti/v2LzqZRSqnIqUdA3xlxnjFmNXf72n9jlbjcCS4GDQDfgbWBH7gNAi3LKb7XmLe17p971Le3v2WO/j462JX9vjYBSSinlVWzQN8b8AjwDzASSgHgR6S0ifxORq0VkkIi0AxKAm4B6wDpjzJDyzHh1FRub31v/zDPhvPPsjHwvv5yfJiLCLszj8fjP2CM6g49SSlVrJSnp/xdoISL3i8hKKSRyiMhhEflQRAYB3YFDZZhPlcvhgLp186fefeABu+/DD2HTJrsvIgKWL1/Dt98uzQv0IsKiRYtITk6uoJwrpZSqaMUGfRF5VURKVVksIj+LyDfHny1VFN/Sfps2cOWV9vtnn7XHRYQ9e/7ghx/WsmDBoryAv3TpUjZt2qQlfqWUqqa0934VFFjaHzXKTuDz9dfw0092X+PGDQHD3Lk/M2HCBJYuXQpAkyZNKibTSimlKlyJg74xZrAx5l1jzNLcXvsbc79/1xgzuBzzqILwLe03bAg33mj3P/UUgKFLly5069aJgwcd7N59kIyMDLp160aPHj0wxlRk1pVSSlWQknTkq2WM+RGYDvQF9gFLcrd9QB9gujFmoQ7ZC53A0v5tt9kV+ZYsge++g19++YXt2//EmBzS0qIQEbZs2aJt+kopVY2VpKT/ItAMOEdEEkXkQhG5Jne7UERaAL2BxsAL5ZlZ5c+3tF+zJtx1l93/5JPCihWr2LJlS+68/fVxuyPZtGkTy5Ytw6Mr8yilVLVUkqD/V+BeEVlQWAIR+RG4HxhcRvlSJRBY2h8+HBITYeNGw9KlpwLwwQeX8t57fThyJBqPR6v1lVKqOitJ0I/ATsBTnEOA64Ryo0otNjZ/lr6ICHj0Ubt/3rwkYmI6cPRoNPv3R7Fq1anExXWia9euOBzaf1Mppaqjkvz3Xww8ZIyJKyxB7rEHsTP2qRByOKB+/fxZ+gYMgHPOgdTUMJ54YgCHD9fkyJEazJ9/Fg88cDFvvNEIHbGnlFLVU1gJ0vwDmAtsNcZ8Dawhv+RfC+gAXAi4sR39VIhFR9tSflYWuFzQpIkHMIjkP9NlZ9tKmA8/rEfjxh6efFJL+0opVd0UG/RFZJ0x5i/AfcDFwFWAt3FYgC3A+8DzIrKznPKpimCMLe1v22bb96dNM+T/iPxlZ4fx4ovCvffa3v5KKaWqjxIV90QkRUT+KSKnADHYnvqNgVgRaZV7TAN+BYqKsu37n38OTmfRaY2BKVNCki2llFKVSEmq9/3kTsmbUg55USeoTh270I63fb8wGRl2nn4R+wCglFKqeijJ5DyXlfaixpiGxpjux5cldbwiIqBpUzslb1GioiAuDo4eDU2+lFJKVQ4lqd5/zRizyhhzizEmoaiExphexpgJwO/AaWWSQ1Uq115LsePx3W7DZZfZWoHs7BBlTCmlVIUrSfV+a+Be4HHsA8B64GdgL5CJ7cHfEugC1ATmAwNERIfvVYB69eD22z289pqH7OyCP97w8BxGjnSQkOAgPR327IFGjbSaXymlqoOSLK17TEQeB5oAVwPJQBJwPfBPbI9+J/Aq0EFE+mrAr1jPPmvo2XM9TmcOxniwgyzs4PwWLXYzerSN8FFRtoo/NbXi8qqUUip0StyRT0SyjDHfAV/kduZTlZTTCYMHL6N9+2T+/LMFmZk1OXAgnOTkDmzdWpfdu+3KfAAxMbBrl+0HEB5esflWSilVvkrSkc9pjBlnjDkI7AaOGGM+NcbEl3vu1HFLSmpLjRppnHLKz3TuPJ8+fWZzyimbycx0MW5cfjqn087qt2sXOlOfUkqd5ErSke8W4BFgJXYVvS+AS4CXyzFf6gQ5nQ5q1crG7Xbi8QjGwAUXLCQy0s1XXxm+/jo/bVSUndTn0KEKy65SSqkQKEnQvwmYKCL9ROR+Efk7cDtwtTFGF9iphIwxuFwumjatR3R0Jjk54TgcDtq2jWHECDvFwoMPwv79+efExNhOfZmZFZRppZRS5a4kQb8l8EnAvqnYznvNj+dNjTG3GWM2G2MyjDHJxpheRaSdZIyRIFva8bx3dSAiZGVlsWvXLmrXNsTH18LlimLPnj0MGJBCjx7C/v3w0EP55zgcdpz/zp3g8VRc3pVSSpWfkgT9WOBIwD7vtC6FrrxXGGPMEGxP/6eBM7Ar880yxjQr5JS7gYYB2x/Ax6V97+pk+/btAPTs2ZW7776Sdu2SANi9O4UXX7SL9MyYAV99lX+Oy2XH7fvWACillDp5lLT3fmNjTEuf106f/Yd8E4rIH8VcaxQwSUQm5r6+0xhzPnArdnlePyJyGDjsfW2MOQtb+3BNCfNe7RhjaNWqFY0bN6Znz56A4eyzOxMeLsTFuWje3PDwwzBmjN169IDate25MTE26Hvn8ldKKXXyKGnQn1bI/s+D7Ct0uZfcPgBJ2A6BvmYDPUuYl5uAtToXQNGSkpIQEUzurDsNGhg6dUoiLs6+vuYa+PprWLjQtu+/9ZadoMcYG/h37oTERFv6V0opdXIwUsw4LWPMdaW5oIi8V8S1GgE7gHNEZL7P/keAYSLStpi81MQu9vOgiLxaSJqbgZsB6tevnzSlDJeTS01NJbYKF3/dbsjJse33ALt2RTJyZBfS08MYPXo9Awbszkvr/bWoiKBf1e9zVaL3OjT0PoeG3merb9++ySLSJdixYoN+WSqDoH878CLQSEQOFPd+Xbp0kRUrVpxgrvPNnTuXPn36lNn1Qs3jgS1bbND3BvOpU2HUKFu6/+YbaNEiP31aGtSsaaf2DaWqfp+rEr3XoaH3OTT0PlvGmEKDfkk68pWlfYAbqB+wvz6wqwTn3wR8WpKArwpyOOxMfBkZ+SX5K66Av/7VBvg77vBfgCc6Gg4c0NX4lFLqZBHSoC8iWdi5+wcEHBqA7cVfKGNMV+AvwMSi0qmiRUVBQoKdjAdsG/4zz0DjxrBqFbzg09vCt31fx+8rpVTVF+qSPsBLwHBjzI3GmHbGmFeBRsB4AGPM+8aY94OcdzOwUUTmhi6rJ6fate30u95Sfc2a8NprtibgjTdgkc/jl9NpmwJ27LB9ApRSSlVdIQ/6IjIV+AfwMLAKOBsYJCJbc5M0y93yGGPigCuBt0OW0ZOY02mr+dPT86v5u3WDu++2r++801bre0VE2P06P79SSlVtFVHSR0TeFJFEEYkQkSTfTn0i0kdE+gSkPyoisSLyXMgze5KKirIl/jSfeQ3/8Q/o0sUG9zvu8C/ZR0XZJXh14h6llKq6KiToq8qhdm0IC4OsLPs6LAz+8x/b5j9vHrzyin/62FjYt0879imlVFWlQb8aC9abv1Ej265vDLz8MvzwQ3563459GRkVk2ellFLHT4N+NRcVZcfhp6bm7+vdG+65xz4I3HGH7cTn5XTaNv7t2/2H9ymllKr8NOgratWyY/LT0/P33X039OsHhw7ByJH+Q/ZcLltLoD36lVKqatGgrzAGGjSwM/Z5g7jDAa++asfvr1wJDzzg33M/MtKmTUnRpXiVUqqq0KCvAAgPt4E/LS0/uCckwDvv2AD/8ccwYYL/OVFRdpKfvXt1KJ9SSlUFGvRVnrg4W9XvO4yvY8f8XvxPPgnff+9/TmwsHDzoP65fKaVU5aRBX/mpW9e22fu24V98sV2Ux+OB226DjRv9z4mLs6X9gwdDm1ellFKlo0Ff+XE47LC97Gz/Tnr//CdceKEdoz98uH/J3hhb4t+9G44cCXmWlVJKlZAGfVWAy2XH7/u27zsctpq/Y0e7PO+IEf69/R0OG/h37vQf/qeUUqry0KCvgoqLgzp1/AN4dDRMmmRrAlassHP0+9YGOBx28p4dO/wfCJRSSlUOGvRVoWrXtoHeuwwv2BqADz6wK/PNmgWPPOLfc9/ptL36//xTA79SSlU2GvRVoYyxQd6Y/Pn5Adq2hf/+1zYDTJoEb77pf15YmB3mt22bBn6llKpMNOirIoWFQZMmtje/b1V+jx528h6Ap5+GqVMLnqeBXymlKhcN+qpYERF2Zr60NP/Z9/76Vxg3zn5/770wY4b/eeHhGviVUqoy0aCvSiQ2FurXL9gz/6ab7OI8Ho9dnOfbb/2PewP/n3/69w1QSikVehr0VYnVqmW3wMD/z3/aRXlycuDmm+HHH/2P+wZ+Hc6nlFIVR4O+KpW6dfPn3PcyBsaOhWuusW3/I0bA8uX+54WF2ZEAO3bYCX6UUkqFngZ9VSreGfvCwvzb6Y2xHfouu8w+EAwbBkuX+p/rdOYH/sOHQ5tvpZRSGvTVcXA6bY9+Y/zn6Hc44OWX4dJLbae/YcNg4cKC58bG2iV59+8vuDqfBOwIfK2UUur4adBXx8U7lM/t9h/DHxZmh/L9/e+2JuDaa2H+fP9zHY78RXr27MkfEZCcnMzixYvz0okIixcvJjk5OQSfSCmlTn4a9NVxc7ls4M/Ksp34vJxOeOkluOoqyMiwC/QE9uo3BmrUsNX8KSmQkyNkZmayZs0a0tLS8gL+mjVryMzM1BK/UkqVAQ366oRERkLTprZU7xv4HQ549llb0s/MhOuvh2nTCp4fG2vP3b7d0KVLDzp27Eh6ejoTJ05kzZo1dOzYkR49emCMCd2HUkqpk5QGfXXCoqIKD/xPP23H77vdcPfdMH58wfOjo20V/7ZthtNP7+F3TAO+UkqVHQ36qkxER+cHft/peo2BBx/Mn7nviSfgyScLduCLjISwMOGLL1bi8eQH+cWLF2vVvlJKlREN+qrMREfnT9frG/jBztz32mu2o99//mNL/b49/0WEn39ewdat6wgLi2Lw4Jvo0KEja9as0cCvlFJlRIO+KlOxsbZzX1qaf1U/2DH8775rmwM+/RSGDoUDB+wxYwwRERG0a9eWuLhoDh40NG3ag7ZtOxAREaFV/EopVQY06KsyFxsLzZrZqv7sbP9j/frBZ59BgwZ28p6LL4bff7fHtm/fzvbt2wE7pC8zU0hO3s9vv/0Z4k+glFInp7CKzoA6OUVH28D/55+2/d7lyj/WqRN89ZUdyrdmDVxyCYwf7yEzM5ONG/cQHR3JN9942LnzZ2rX3o3H04D9+z0kJDjQAr9SSh0/Dfqq3ERF+Qf+iIj8Yw0bwvTptmf/7NkwbJiDnj0vYdEi4dlnF/Dii4bw8A6InMattxr27HGQkWFX+gvT31qllDouWr2vylVkpA38Ho//XP0AMTHw9tv5Q/oWLHDgdjvJzHQAhuxsFzk5Tt56y8Nbb9nzt2zRJXqVUup4adBX5S4iwgZ+p7NgwHY64dZb7XA9r9df7+yXJisrjPHjhexs20ywbRvs25c/fa9SSqmS0aCvQiI83I7jj4qC1FT/Y19/bY97paTEFjjf4bD9AMLCbCe/Awdg61Y7za9SSqmSqZCgb4y5zRiz2RiTYYxJNsb0Kia9yxjzeO45mcaYbcaYu0KVX1U2nE7bll+zJhw5kj9Bz549kJGR30OvY8e9Bc7NyDDs2WO/N8aOEDDGVvcfOKClfqWUKomQB31jzBDgVeBp4AxgETDLGNOsiNOmAOcDNwNtgb8Dv5RzVlU5cDigXj3bIe/oUTuWv149iIrKr96/7rq1Bc6LiBDq1fPf53LZUv++fbbKX0v9SilVtIoo6Y8CJonIRBFZLyJ3AinArcESG2MGAucCg0RkjohsEZGlIjI3dFlWZckYqFXLVvdnZMCAAQWn7g2UkWFX5Ass0XtL/SK2ul/b+pVSqnAhDfrGGBeQBMwOODQb6FnIaYOB5cAoY8x2Y8xGY8y/jTEFG35VlRITA4mJdond668XwsOzg6YzxgMYnnrKLte7Y0fBNBERNvgfOKA9/JVSqjChLunXAZzA7oD9u4EGhZzTEjgb+AvwN+AObFX/pPLJogollwuaN4cxYxz06bONsLAcjBHAQ3h4FmFhOQwatIkJEyAhARYsgP797TK9gdPxe0v9Tqet7k9JKTgjoFJKVWcmlAuZGGMaATuAc0Rkvs/+R4BhItI2yDmzgV5AAxE5nLtvIPBN7r7dAelvxrb9U79+/aQpU6aUWf5TU1OJjdUKhvJy5Egahw5lEB0dxv79YTgcHqKiMomLiyY6OpqDB8N5+eW2LFlSB4Azz9zPXXf9Rv36mUGv563mDwuzDwKqIP2dDg29z6Gh99nq27dvsoh0CXYs1EHfBRwDhorIJz773wA6isg5Qc55DzhLRE7x2dcU2AZ0FZHlhb1fly5dZMWKFWWW/7lz59KnT58yu57K5/F4eOutt0hJOUSHDu0544yLmT37c7Zu3UpCQgLXXHMNDocDEfj4Y3jsMdvGHx0N998PI0YED+wej63qDwuznQejo4P3Gaiu9Hc6NPQ+h4beZ8sYU2jQD2n1vohkAcnAgIBDA7C9+INZCDQKaMNvk/t1a9nmUFUUh8NB/fr1adu2GfXq1SQmxkG/foNp2rQ5devWxeGwv6rGwJAhMHcuXHSRDeiPPmrn71+9Oth1bZV/WJidDvjPP7WXv1Kq+qqI3vsvAcONMTcaY9oZY14FGgHjAYwx7xtj3vdJ/z9gP/CuMaaDMeYs7JC/aSKyJ9SZV+XnsssuY+jQoRgDjRpB48YOBg4cTL9+gwqkrVcP3noL3nnHrti3ciVccAE88AAcPFjw2mFhtsOg2217+aekQFZWCD6UUkpVIiEP+iIyFfgH8DCwCttJb5CIeEvtzXI3b/pUoD9QE9uL/2NgHnB9yDKtQsa3RF+zJrRs6cDptLP4BWuJOu88W+q/+WZbqp88GXr1gg8+8B8G6BURYcf2HzsGmzfbiYG0s59SqrqokBn5RORNEUkUkQgRSfLt1CcifUSkT0D6DSIyUESiRaSxiNwuIkdDnnEVci6XHc9fp46dzCczSJ+9uDhbxT9nDvTsaUv6999vHwjmzy+YHux0wLGxdmbAzZth7147UZBSSp3MdO59Vek5HHa4XosWtgbg6NHgE/C0bWs7+b35JjRuDOvXw9ChcPXV8OuvBdMbYzv2xcTYToGbNtngryV/pdTJSoO+qjIiIuyY/nr1bPV84FK9YAP5JZfAvHkwZoytBfjhBzvr3z/+YcfvBzsnOtqW/A8fhj/+gN27tc1fKXXy0aCvqhTvFL6JiRAZaavng1XLR0XB7bfDwoUwfLitLfjkE9ve/8ADtiNfsGt7g//Rozb479ypvf2VUicPDfqqSnK5bBV+06a2Or6wjn61a8NTT9mS/+WX22aByZPhrLNg7NjgU/p6g3+NGjbgb91qawjS0oK/h1JKVRUa9FWV5p2/PyHBBuVgVf5g07z6Knz/vR3fn5lph/uddRaMHm3n6w8mMtI2EXg8doz/H3/YjoK+tQuBE1yFcsIrpZQqDQ36qspzOm3v/sREW0IvrJc/QOvWdnz/t9/atn+3G/73P1vtf+utsGpV8PNcLlvyd7lsZ79Nm2DXLli06CcWLVqcF+hFhMWLF5OcnFwun1UppU6EBn110nC5oGFD29nP4bDt/YX1xG/XzvbynzvXzvDncMCXX8KFF8Jll8E33wQfIeB02jb/2FhITRW2boW5c7cwZ84ysrNtwF+9ejWZmZla4ldKVTphFZ0BpcpaZCQ0a2Z7+O/ZY4N/dLSdlS9Qq1bw0ktwzz3w7rt2Up+lS+2WmAjXXGMfCmrV8j/Ptvsb0tJ24XZnsWTJZpYs2UJERCYuF+zcuQujk/wrpSoZLemrk5Ix+e39jRvbNvijRwsv+TduDA8/DMuX24l+mjSx7fxPPAFdutiHgp9/9u/I5/F4yMzMZP/+DJYsqceCBW35/vtmbNgQxtatYezZ4yEjQzv/KaUqDy3pq5OaMbYjnq2Ot+3xGRm2NiA8vGD6uDg7pe8NN8B338GkSbbn/5QpduvQAa66CgYPhpo1Hfz22yW8+aYHYzxkZ4cTHp7N99+fza23Ojh82MHBg/Z94uPtQ0hERIhvgFJK+dCgr6oF3+B/7JgN/keP2n4AwQKx0wkDB9pt0yY7zG/aNFi7Fh56yNYANG8u/P674Hbn/xllZ7sAGD8+B4fDcN99Brcb9u+37+n7AOByVdwyvyLi1/wQ+FopdXLS6n1VrXir/Zs3t2P8w8Jsm396euHV8K1awbhxkJxsO//17m1rCzZsMLjdzqDnZGeHMX68neHP6bTvGRdng/7+/bbpYPNm2LfPvnewToPlJTk5mcWLq96IAx0aqdSJ06CvqiXvBDxNm9o5/b3V/2lpwVfnA1sjcMkl8NFHdla/sLCig44x8NVX/vsCHwAOHbLj/71DANPSynfhHxEhMzOTNWvWsHjxYgAWL17MmjVrKvWIg+TkZBYtWuT3oLJo0aJK/6CiVGWj1fuq2ouIgPr17ex9R4/CgQM28BZW9Q/2eGEPB14ZGbZJoH17+Mtf7LBAX06nffAAW8tw7JitGfDmqWZNO52wy1Xw3ONljMHlchEbG8uaNWtISEjgwIEDxMbG4nK5KmUVv4iwadMmtm/fDkDPnj1ZtGgRS5cupUmTJnTu3LlS5lupykiDvlK5wsLs0Lz4eFvlfuCAfQhwOGzHP6dPTX69ehAVZTh2rKgrGpYtszMANmhgl/rt398u/xsZGZDS2H3e/Tk5turf48lvkoiLsw8DJ9IXQETIysriyJEjHDt2jISEBFJTU/F4PGRlZVXatv0mTZqwfft2li5dypo1a0hLS8vbr5QqOQ36SgXwVv1HR+fP63/woC2Jh4XZwHzhhTB2rACFB8jwcOHvfzf88INd4Oe99+wWGQlnnw3nngt9+9omhkBhYfnzCojYFf927crPX0yMbZIo7UOAMYbw8HDcbjfp6enk5OSQnp5OREQE4eHhlTLgG2Po0aMHAHPnziUjdwWkPn360KNHj0qZZ6UqKw36ShUhPDy/9J+RYUv+3s55N9wgTJiQQ05OwbF/4eHZ3Hqrk/vvN4jYMf5z5tjpf9essV+//dambdECzjnHbt272+l+fRljg7u3qUHETjPsXWTIGNsMEBtrHyhcLv9aCV8ej4eNGzdy+PBhnE5n3nb48GE2btxIUlISjrJqSyhj7oD2lMDXSqniadBXqgS8gTUqys7zn54ODz5oWLVqLUuXdiQszJCV5cDl8pCTI3Tv/gujR3fOO/f00+02erQtsX//vd0WLrS9+DdvtnMCOBxw2mm2CeCss+zEQLGxBfMS+BCQnZ3fHAD2YSUmxm7h4XZzOMDhcNCmTRsOHjzIoUOHcLvduN1u4uPjadOmTaUM+CLChAkT2Lt3L1FRUcTFxXH06FHmzZvHunXruPnmmyttaV+HRqrKRoO+UqXkcHgDquHll91s357M7793ZccOQ+3aDpo0WUnDhuE4HMH/uTdoYCf4ueoq23a/apWdAGj+fPu9d3vzTVti79ABunaFbt3sQ0C9ev7XM8aW7l2u/H1ut60JOHw4fyhiRARERwuHDuXg8YTzzjvXMmrUr0RF7cTpdFbaNn2Px0Nqaiput5vx46+kUaNGXHHFm6Smpub1R3AWVrVRgZKTk8nMzMxrmvAOjYyIiCApKamCc6cqg4p4KNSgr9QJcDqhfv0cLr3UlrLT0+H773PIyAjn6FF7PCKi8Or2sDAbyL1T/aal2amAFy6ExYvhl1/yt7fftuc0bQqdO0NSkq096NChYMdAp9PWSviyUxEb1q8/zNatNTl0qCbZ2U4WLuxBp06/UqPGHs480xAWVnGTBgXjdDrp3bs3y5YtIycnhz//3MahQ4eoU6cOXbt2rZQB33dopJd3aGTHjh0r5cNVVVYVa1R8HwqNMSF7KNSgr9Rx8v5jX7t2bV5ns19+WcyuXWvo0KEjTZsK6emGw4fJ6+XvLZEX9v8oJgb69LEb2POSk2HZMrsI0KpVdlz/n3/CF1/YNGFhcOqpdljgaadBx472deCDgA3mHj77rAHz55+Lx+PA7Xbw1Vdn8sUXZ9Kz53pOP91DeLgDlyt/NIHLld+xsKL+j5555pl07tyZF1+0w/aMMdxyyy2VMuCDf+dD36GRHTt21M6HZawq1qgEPhT26NEjZA+FGvSVOk6B/9i9f8C+/9ijo+34/+zs/I6AaWn5Q/FcLtveXtjfd3Q09OplN7DV9hs2wE8/2YeBn3+G336znQPXrIEPP7TpnE5o08bOEdC+vV1KuF07mDTJsHBhB7+pg7Oy7PdLl7ZjwgTD6NH+zQO+wsPzHwQiIvIfBpzO8n0g8Hg8TJ06FTgrb9/UqVO58sorK2U/BICffvoJT8BUix6Ph59++qnSBqOqpqrWqJTkf0d50aCv1Anw/vH6/tMJ9kfr7UwXF5c/BM/3IcA3XVE1AU5nfiC/+mq7Ly0NVq+2tQDe4L9pE6xfb7dPP/XLMb5/9r//Hp/3fVaWnTp45Eg7MVCwpYjdbptv74OLr7Cw/A6G3iYNp9PudziO/6HA4/EwZcoU1q/fRXp6LSIj4/jjj3NJT1/IlClTKmXgFxF+//13Nm/ejMvlypsP4ccff6RFixY6oVAZqco1KsYYunfv7ve/o3v37tqmr1Rl5q1K9LV48eIi/+H49r6vWdMGz6ys/GF4x47lB9SwsKKH4IFtEuje3W5e6emwbl1+4F+/3tYK5A5xzzN+/Ol+r3NyhH/8wzB4sB1K2KKFfVDx8gbyYNzu/BoNtzt/OKH3M3s/i3fz1hA4HEVf1xgHn312Bl980Rq324nHY5gypStZWUlccslGhg6tXAEf7O+F2+0mO3ctZ++kSNnZ2bjd7kpbAq2KjDF07drVL3h27dq10t/fFStWsGHDhrzfBRHho48+om3btnTp0qXc3leDvlLHyRvwvVWJvu1yELzEH4x3xr/ISPsQ4B2Cl5VlHwDS0uxX76XCwmyNQFEPAlFRtqOfby3ySy/Biy/6TyjUvLnt1Ofldhtmz4bZs/PPS0iwCxR5t2bNoEkT26GwUaP8JYqLCtz22vkPBR6P/wJH3geE8PD8hwNv7chTT8GXX7YmOzv/31Vamq2xmDGjNY88Ylc9rEy8QyMBNm/enDc0slWrVpV2aGRV9fbbb3Pw4EHicp9OPR4PL7/8MrVq1eLGG2+s4NwF5/F4WL58OXv37qVVq1YMHTqUjz76iE2bNnHkyBE6d+5cbr8jGvSVOk7GGCIiIvyqEr1VjREREcdd0vAdgucdo+8NmJmZ9gEgPd1uXk5nfsAsTP36to+A79TBd965knvv7ZP32uUSevY0REXZuQO2bLHTER84ACtXFrymw2Gv27hx/tawof9Wp07+A0FRDwUi9mHA7c5vPjh4EF55RfL6HQTKzAzj+eeFESMMtWvn1xwE20ItKSmJjIwMtmzZAtjfl2bNmlX69nyPx+MXcAJfVyY5OTns3buXrKwsAE499VQ2b97MsWPHyMnJIScnh7Ci/igqiDEGh8OBw+Fg165dTJw4kdTU1Lx92qavVCWVlJTkV1XrDfxl/UfrDZje2gDIfxDIzrYPAMeO2eYBL2PyHwacTu/UwUW/jzF2fgDve3g8sGcPbN1qt23b8kcP/PmnnV7Yu61YUXje69a18xPUr2/nGahXz+6rX98+FNSta79GRfk/GHz2GTidRd9Lh8Pw0UdwxRWFL48M+X0LvP0MvM0L3s2Y/L4H3gcF332l4V0FcNmyZbzzzjX885+/Ehm5k2XLlmGMoWfPnpWy+nn69OlkZGTk9ZPw9qeIjIzksssuq+jsFeB0OklMTOSXX/7k3/8ewdixP7Ngwal06LCeNm2aVtrRHQCdOnXi++9X8q9/DcHtDqN37x8588ytdOrUqVzfV4O+Uico8J93qP6Z+z4IeNvdvU0DOTm2eSA93Vanp6fbIHf99fD22zl+VeVeLlcOt9zizAv4YANegwZ269atYB6ysmD3btixI3/zfRBISYH9++0shN61A4oSE2ODf0KCHfWwaxccO1b0GgcZGcKhQ4aYmKKv7fHkb75NDN6tON4HBt8+CN6HA+8Dhe8DwubNu8jKchAbW4OwsHA6derBkiWL+fPPnXg8J9a5sTx4PJ68mglvB8kpU6awZcsWEhMTK2mJ37Bu3ZW89JKH7GyD2+3k//7vPL75ZhD33eegqN+bimX473+b8/77XXG7HYgYZs0ayMyZDjZv3k2PHlrSV0qVgG/TQHS0XTMAbFDLyYHnn4cdOzYyc2Zr3G77DzwsLAtwcM45m7nlllNIT/cPbEUFJpfLtu0HWzTIKysL9u7ND/x799oHBe/Xffvyt7Q0u23d6vepivzMIoa334ZZs2wNRXy8Xb/Ad4uLs19jY/O/xsXZr1FRJQu+3uYH773MzvZ/aPB/eDAcOhRLeHhLXK4aiEC9et1wOveyb18Ev//urRkqWKsQbCusFsJ7De/m+7qwY8HSgO2H4Bvon3nmGQASExMr5QgJgEcegeefd/s1/2Rn26kpn38+BwirdP09AMaO9fDBB/XIySmY7w8+qEfDhh6efFLb9JVSx8nbSS483DB9ehtefPEdnnvuUpxON+ef/w09e+7mzjtHIGLIysofTZCZWbAU7BuMimunB/tg4G3vL4oIHDliawa8259/whNPCG530VH50CG7HY+wMBv8vSsXetcsiImxD07er75bVFTBr97NdsoUGjSozerVf7BjRwbZ2fDaa1upWzeDU05pSGyst8e2zYN3tIZvv4bABwnfr77f+z6wBL4OprA0DgesWbMWh+MUDhw4ANh0rVufwqxZazjttNPy+kYEfvV9uMh/iPC/duA+3zyU5PvA14cOwQsvCJmZhff3eOEF4a67DLVqFTwe7B4Udu9Kk7Y4Bw/Ciy8asrIKLtQFkJUVzosvCvfem//QXpY06CtVjXgnucnO3kONGscID/dw1llrcbvdfPmlnewmLs6/hOF2+2/ekQVZWfn9CaBgMAl8OCiuOtsYW1KvWRNatszff/Cg4c03gzdJhIXlcOONYVx3nZ1I6OBB+/XoUfsAcfiw/XrkiN3n3Z+Wlj9HQmbmiT00FPJpgC6A7bT34IM9SUsLBxKpXRuaNDFERuYvjew7v4G3psb3e9/NO5eDd9ij7z7vyA7f7wv76vuwZh8khOTkhRw7doypU/+OMYYrrpjG4sULiYqKoUOHTnkPX8EeRAIFjs4oLF3gOd7fkaIeaETgk0+KD7zGwFtvwd//XvzDUUkemErC98EnmI8/Lv59nE77+W666cTzE0iDvlLViMPhICIigvj4eB544P9ISEggPDyB7OxsIiIiglbhlqbXve/XrKz8avDs7Pz9vucFq4YOrNq+5x4PGzb8zrffnpLX/ulyufF4oH//3xkzpg1O5/FXhWZl2Q6QaWn2q3euBO9QydTU/I6S3n2+Iyi8xzIy8vtPHD5sr+ttmkhLy18NyVuLUdG8cyf4PgRkZV0DeEhPjwYM48ffRGRkBmFhHr78Mj+d7xbYQTKwz0Pg94G1RN6HQd80vq8Dj3tfz5sH6en+0XP58vp+r9PTDUuX2o6jgU0kELzpJNj+0mzee1tYE8vGjQXzHejYMVOiPjDHQ4O+UtWIiNCwYUP2799Px44dycrKolGjRqxZs4aGDRse16Qx3n/IJekoHfiA4N3cbvuA4N28r206BzfdlE3PnnN49dWe5OQ46d17HV277qNdu6ZkZDgKPDQE+74wLpftOJiQUKqPXahDh+yCSL7GjVvIuHH5UwiHh9sFlMLDbU1DRkZ+k4rvV9+mFu/Dk/eYt7Omd7938+7zPnAFfvXW1ng7febX1hjAvzfksWMxHDtm9+3ZUzb3pzxNndquwL6vvrJbVRIdLTRoUD6d+TToK1WNBM4tMG/evDKZW6Dk71/yBwQvEWjVqhMXXdSByZN3IQIDB67muutGYIwj7wEiJ8f/q7e2wft9afNZWGmtuJLd11+Dw+E/4iA2Ntvv+mFhwu7dhmHDSpevshT4oPXyyzB5spCRUfB3ICJCuPRSm1/f83wf2HybgLz7g31f2ENf4GuRgvu9HSm9IzCmTRM8nvz8JiXtIjm5Qd5rh0MYMMDgdPp3xAz83vs62L7Ajpq+/S+K2gpL43bDli2CSOF/a263bZIoDxUS9I0xtwGjgYbAWuAfIrKgkLR9gB+CHGonIr+WVx6VOplJQONq4OvKxJbYhaVLl2BMYu4IBTerVy8p1ZwIJfmHHhgAitoCO9t5g8H27QQNnL4yMgzbt9t+BcV1Hgv8WtzxYOmD7XM48vsGHD4M778vZGYGz0xmpuGzz4RHHjF+QzorWsOGhjffzCY723aKGzr017ygHx6ezW23hXPffRWZw+Cee45C+6m4XNnce29YuXTigwoI+saYIcCrwG3Aj7lfZxlj2ovItiJO7QAc8Hm9t/xyqdTJKXA5YLBrBaxdu7bSrkrmO93xu+96lyHteFzTHZc3EbsYUnS05E4VHFxUlNCmjckb6hisl773IcL3a3GlzmDnBbt24PHp04u/Pw6HXbzJOwlSaX5NTmRUQVH7R470sGbNH8yd2wqPx34AlysHtxt69/6DkSNbk5pa8IOVJv+l/XMoSfrbboN16zbz/fct8HhsP5Xw8GxEDBdd9BuPPda+dG9aChVR0h8FTBKRibmv7zTGnA/cCjxYxHl7RGRfuedOqZNYVVyVzNsk0aFDB7/pjkUkJE0SpWGMDYr/+EfRefJ4bFV5dHSIMlYMkZLVTrjd0KpVwV74wXrqF3a8LPbl73fwyCOp9OkzmaVLGxIXl8OAAd/So8cuzj67E02bBg/4JVHSSZuOJ73HI/ztbytp334mv/7alqysaGJjD9Ox43o6dGgMtINymlgopEHfGOPCjmF5IeDQbKBnMaevMMZEAOuAJ0UkWJW/UqoYJV0OuDLZunUrGRkZefkUEbZu3UpkZGSlm8u+Vi074uD55z1B1wxwuXK45x4H8fGVZ7KbBg2Kr52IjhYaNTKl6o9R3kSEsLBM6tbNomvX5dSo0Zpu3TZSp049wsMziYmpfDVXloPOnVuQnb2HhIRleXsTEhLKfUEmE8q2PGNMI2AHcI6IzPfZ/wgwTETaBjmnLdAXWA64gGuAW3KvUaAfgDHmZuBmgPr16ydNmTKlzPKfmppKrHcFFFVu9D6Xv7S0NNLT03E6nbjdbqKioogpbh7bCnTgwAGysrLy1qYPfF0Z/fFHBocORSICTZqksmNHDGCIj8+gZcvIis6eH7fbLr1cVDgwBv7yl9J1wgyVvXv3kpOTQ0REBJmZmYSFhVG3bt2KzlaR0tLSSE1NxePx5D3IOhwOYmNjT/hvsW/fvskiEnR93krfe19ENgAbfHYtNsYkYjsCFgj6IjIBmADQpUsX6dOnT5nlZe7cuZTl9VRwep/Lj7d9/LfffssbsudyufyWB66MJSPvwi+//prfdzcxMZHBgwdXyulhRYQ9ez5hx47fmTjxekaPXsbu3U2Ii/s/mjSpxznnnFfp7vPcucILL3jIyCgY1SMj3dx7r4Nzz61cefb+XmzevBmn08kpp5zC1q1bcbvdZGdnV9rpg0WETz75hM2bN+NyuYiJiSEtLY2srCxatmzJoEGDyu33I9R3Yx/gBuoH7K8PlGYqgqVA67LKlFLVReCQPbBV+x07dqx07eO+vPPC+6qs/9B9RUdnUqdONhERcMkle4iKyqzoLBXq8ccNw4btJjw8B2M8gOByZRMensOwYbt5/PHK97vhcDiIjIwkPj6eWrlz7daqVYv4+HgiIyMr/e+Hy+WiW7du3HzzzXTr1g2Xy1X8SScopCV9EckyxiQDA4BPfA4NAD4txaVOB1LKMGtKVRuhWg64LHlLdL68K8FVxn/sxhhatmxJTk4OqalpZGdns3r1Bho2bEjLli0r6b0Wrr9+Cx06zObll6/A6YxiyJCtNGjwI127tsGOsK5c+RYRGjRowN69e+nUqVPeZFOrV6+mQYMGlXI0Ctjfj1atWtG4ceO8ZZZ79rTd2iIjI8s1zxVRvf8SMNkYswxYiG2fbwSMBzDGvA8gItfmvv4HsAU7nt8FXA0MBv4W2mwrdfKoqOWAj4c34HuXePVdCa6yBn4RISsri9TUVG65ZQr16zdj27Y0jDFkZWVVymDkrQXq2rU1W7dG5bYzt2LRot2VthbIm+dOnTpVyGRTJyLYw7f3AaA8hTzoi8hUY0xt4GHso+MaYJCIbM1N0izgFBfwPNAESMcG/wtFZGaIsqyUqkDeKlzfJV69gb+yVuEaYwgPDyc7O5uMjAxycnLIyMggIiKC8PDwShuMtm7dSnp6ut8oiS1bthAVFVXpRkl4VcWaK6+KePiukI58IvIm8GYhx/oEvH4OeC4E2VJKVVKXXXYZHo8nL8B7A39lDPhgayc2btzIoUOHcDqdhIWF4XA4OHToEBs3biQpKanS5d3j8ZCRkcHWrVvzalCmTJnC1q1bSUxM9Lv/lU1VqrmqaJXzJ6iUUgECA05lDUBg89a6dWvi4+Nxu93k5OTgdruJj4+ndevWlTLv3gepxMREtmzZwjPPPOPXpFIZ86xKT3+KSilVxkSE7OxswsPDiYqKIiwsjKioqLwq/8q61kFVHSWhSk5/kkopVcaMMbhcLr+JVmJiYoiNjcXlclXa6ufCRkl4SrtMoaq0NOgrpVQZ8/beP3r0KJ06daJOnTp06tSJo0eP5vXer2wCR0k88MADeVX9GvhPHhr0lVKqjAUOJQM7CVKnTp0q7VCywkZJJCYmVtpREqr0Kv00vEopVRVVxaFkVW2UhCo9/UkqpVQ5qYpDyarSKAlVevrTVEoppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJjToK6WUUtWEBn2llFKqmtCgr5RSSlUTGvSVUkqpakKDvlJKKVVNaNBXSimlqgkjIhWdh3JjjNkLbC3DS9YB9pXh9VRwep9DR+91aOh9Dg29z1ZzEakb7MBJHfTLmjFmhYh0qeh8nOz0PoeO3uvQ0PscGnqfi6fV+0oppVQ1oUFfKaWUqiY06JfOhIrOQDWh9zl09F6Hht7n0ND7XAxt01dKKaWqCS3pK6WUUtWEBn2llFKqmtCgX0LGmNuMMZuNMRnGmGRjTK+KzlNVYYx50Biz3BhzxBiz1xgzwxjTMSCNMcaMM8bsNMakG2PmGmM6BKSpZYyZbIw5nLtNNsbEh/TDVCG5912MMa/77NP7XEaMMQ2NMe/l/k5nGGPWGWPO8Tmu9/oEGWOcxpgnfP73bjbGPGmMCfNJo/e5FDTol4AxZgjwKvA0cAawCJhljGlWoRmrOvoAbwI9gX5ADvCtMSbBJ819wD3AncCZwB5gjjEmzifN/4DOwPm5W2dgcnlnvioyxnQHbgZ+CTik97kM5AaMhYABLgTaYe/pHp9keq9P3P3A7cBdwKnA3bmvH/RJo/e5NEREt2I2YCkwMWDfRuBfFZ23qrgBsYAbuDj3tQFSgId80kQBR4GRua/bAQKc5ZPm7Nx9bSv6M1WmDagJbAL6AnOB1/U+l/k9fhpYWMRxvddlc5+/At4L2Pce8JXe5+PbtKRfDGOMC0gCZgccmo0tuarSi8PWMh3Mfd0CaIDPPRaRdGA++fe4B5CKrWXxWgikoT+HQBOAaSLyQ8B+vc9lZzCw1Bgz1RizxxizyhhzhzHG5B7Xe102fgT6GmNOBTDGtMfWFs7MPa73uZTCik9S7dUBnMDugP27gf6hz85J4VVgFbA493WD3K/B7nFjnzR7JfcxHUBExBizx+f8as8YcxNwCnB1kMN6n8tOS+A24GXgGeB04LXcY6+j97qsPIstJKwzxrixMespEXkz97je51LSoK9CyhjzErZq7WwRcVd0fk4mxpi22Grns0Uku6Lzc5JzACtExNu2vNIY0xrb3vx64aepUhoCXAtcBazFPly9aozZLCL/rciMVVVavV+8fdj25/oB++sDu0KfnarLGPMyMBToJyJ/+Bzy3sei7vEuoK5P9Sm539dDfw5ePbA1U2uNMTnGmBzgHOC23O/356bT+3ziUoB1AfvWA97Ovfo7XTaeB14QkSkislpEJgMvkd+RT+9zKWnQL4aIZAHJwICAQwPwbyNSRTDGvEp+wP814PBm7B/fAJ/0kUAv8u/xYmwHwB4+5/UAYtCfg9fnQCdsaci7rQCm5H7/G3qfy8pCoG3AvjbkL+Wtv9NlIxpb6PLlJj926X0urYruSVgVNmwVUxZwI7Yn6KvYjiHNKzpvVWED3gCOYDvgNPDZYn3S3A8cBi4DOmID1U4gzifNLGA19g+2R+73Myr681XmDZ/e+3qfy/S+nglkAw9h+1D8Pfe+3q73ukzv8yRgO3ZYZCJwKbAXeFHv83He04rOQFXZsJ12tgCZ2JJ/74rOU1XZsENjgm3jfNIYYBy22jQDmAd0DLhOLeCD3AeII7nfx1f056vMW5Cgr/e57O7thcDPuffxN+xYcqP3ukzvcRzwCrYGJR34A9tvJVLv8/FtuuCOUkopVU1om75SSilVTWjQV0oppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvVAUwxvQwxnxsjNlpjMkyxuw3xswxxlxnjHHmphlujBFjTKLPeVuMMZMCrnWxMWa1MSYjN328McZhjHnFGJNijPEYYz4vx8+SmPu+w4tJ5/08p5RXXo6XMWawMWZUkP19cvOsi2upk4IuuKNUiBlj/oGdP/x77GxiW7GThwwE/gMcAr4o5PRLsZOLeK8VBnyInU70duzMkUeBy4G7gXuw05DuL3Al5WswdtXMlyo4H0qVKw36SoWQMaY3NrC8LiJ3BRz+IncVwpjCzheRlQG7GmNnLftYROb7vE+73G9fERFPGeQ7QkQyT/Q6SqmKpdX7SoXW/cAB4L5gB0Vkk4j8UtjJvtX7xphx2KmhAf6bWw091xizBTstKYDbt+rdGNPQGPO+MWafMSbTGPOLMebqgPfwVsP3NsZ8Yow5BCzNPRZtjHkztzki1RjzJdDkOO5DoYwxNxtjfs5trthnjPmvMSYhII0YY540xtxljNlsjDlqjJlnjOkQkM6Zmy7FGHPMGPO9MebU3PPH5aaZBFwHNM7dL7n30Fe0Meb13PzsM8Z8YIyJL8vPrVQoaElfqRDJbavvC3wuIhllcMm3gTXAJ8CTwNfYqv8I7Dzww8lfWWyTMSYGOy95LWAM8CdwNTDZGBMtIhMCrv8h8BG2qcD7v+It7AJUjwHLsaub/a8MPgsAxphnsE0S/wZGY2syngQ6GmN6iojvimtXAxuwzRgu7DKsXxhjThWRnNw0j+V+1ueBb4Ek4MuAt30CqItdROevufsCazVeBb7CruveFngOu9rbdSfyeZUKNQ36SoVOHSCK/OVXT4iIbDfGrMp9uUlElniPGWN25Kbx3XcH0BroKyJzc3fPMsbUB540xvw3IKhOE5H7fM5viw16D4nIM7m7ZxtjYoFbTvTz5HZYHA08JiKP++z/DfgRuBi7fLBXNnCRiGTnpgP7ANQVWGSMqQX8AxgvIvfnnjPHGJMFvOi9iIhsMsbsBbJ871eA+SJyZ+73s3PvxY3GmOGiC5ioKkSr95WqPnoDO3wCvtcH2JJu+4D9nwW87ob9n/FxwP4pZZS/AbnX/9AYE+bdsE0LR7H59zXHG/Bzrc792iz3ayds/4hPAs6bdhx5+zrg9WpsjUr947iWUhVGS/pKhc5+7PKgzSvo/ROwy48G2uVz3Fdg2oa5X3cH7A98fbzq5X79vZDjtQNeHwh47a2Sj8z96s3vnoB0x5Pf4t5LqSpBg75SISIiOcaYucCACuoNfwDbHh2ogc9xX4HV1t6HgPrYdc3xeV0WvMMKBwIHizheUt781gPW+uzX0rmqtrR6X6nQegZbYn0u2EFjTAtjzGnl9N7zgCbGmLMC9l+FLQ2vK+b8pYAHuCJg/5Vlkz3m5F6/mYisCLJtLuX1VgNpwN8D9ge+Bltyjyp9lpWqWrSkr1QIicj83JnfXjLGtAcmAduwPerPBW7EBuFCh+2dgEnYnu7TjTEPAduBYdi29JEBnfiC5X2DMeZ/wOPGGAe29/5AYFAp83G+MWZXwL7DIjLHGPMs8HpuR7l5QAbQNDePb4vIDyV9ExE5aIx5BRhjjDmK7b3fGbghN4nv/AXrgARjzK3ACiBDRFaj1ElGg75SISYirxhjlgH/BF7A9uo/ig02I4EZ5fS+acaYc7C1DM9gJ/XZAFwjIh+U8DIjgVTgXuwwue+xDyk/liIrrwXZtxboKCJjjDHrsbML3o5tYvgT+A7YWIr38HoUMNhAfxe2tmI4sBA47JPubaA78DQQjx1hkXgc76dUpWZ0tIlSqjoxxlyO7dHfW0QWVHR+lAolDfpKqZOWMaYbcCG2hJ+BnZznAWwNR08dY6+qG63eV0qdzFKx4/tvB2pgOyx+DDyoAV9VR1rSV0oppaoJHbKnlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJv4fTFzGMltgY3EAAAAASUVORK5CYII=\n", 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" }, "metadata": {}, "output_type": "display_data" @@ -116,12 +120,12 @@ }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Running 2-qubit RB experiment\n", "\n", "Running a 1-qubit RB experiment and a 2-qubit RB experiment, in order to calculate the gate error (EPG) of the `cx` gate:" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -131,8 +135,8 @@ }, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -148,11 +152,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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\n", 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" }, "metadata": {}, "output_type": "display_data" @@ -206,12 +212,12 @@ }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Displaying the RB circuits\n", "\n", "Generating an example RB circuit:" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -222,14 +228,16 @@ "# Run an RB experiment on qubit 0\n", "exp = StandardRB(qubits=[0], lengths=[10], num_samples=1, seed=seed)\n", "c = exp.circuits()[0]" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "We transpile the circuit into the backend's basis gate set:" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -237,8 +245,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "global phase: π/2\n", " ░ ┌──────────┐┌────┐┌───────┐ ░ ┌────┐┌─────────┐ ░ ┌──────────┐┌────┐»\n", @@ -264,15 +272,10 @@ ] } ], - "source": [ - "from qiskit import transpile\n", - "basis_gates = backend.configuration().basis_gates\n", - "print(transpile(c, basis_gates=basis_gates))" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "# 2. Interleaved RB experiment\n", "\n", @@ -293,14 +296,15 @@ "- `EPC_systematic_err`: The systematic error of the interleaved gate error (see Ref. [4]).\n", "\n", "- `EPC_systematic_bounds`: The systematic error bounds of the interleaved gate error (see Ref. [4]).\n" - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Running 1-qubit interleaved RB experiment" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -308,8 +312,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: InterleavedRB\n", @@ -326,11 +330,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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\n", 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" }, "metadata": {}, "output_type": "display_data" @@ -356,10 +362,10 @@ }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Running 2-qubit interleaved RB experiment" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -367,8 +373,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: InterleavedRB\n", @@ -385,11 +391,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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\n", 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kpqZKixYtpHfv3hIXFyc7duyQhQsXyoMPPliqBf+SJUvEarXKCy+8IBs3bpTnn39ebDabLFu2TES0pf5DDz0ky5Ytk927d8uKFStkzJgx4nA45M8//yz171Yaxnq/OJRivV/tgrkyU0V8Gdxut8yePVteffVVefXVV2XKlCme90uWLBG3233G96gJ1JQva2Vxtgj9gwcPytVXXy2hoaESGhoqr776qsyZM0eio6NlwoQJpdataKHft29fCQkJEZfLJd26dZM5c+Z4Xc8/qjZt2jSv/GnTpknz5s3F5XJJ+/bt5fPPP/dc27Nnj/Tu3VtCQ0PF4XBIs2bN5L777ismJI8dOyYjR46UoKAgCQoKkpEjR8qePXu8yixfvlwuu+wyCQoKEn9/f2nXrp08/vjjpY7J7XbLhAkTpG7duuJ0OqV3796ydu1arzKjRo0q6Uix13eopOuF0yWXXOKzDwsWLPBZr/A9GjVqJKNGjfJ8jouLk9atW4vT6ZQ6derIjTfeKPv27SvW/uzZs6VDhw7idDqlefPmMmnSJK/fqfI8g8TERBk9erSEh4eLw+GQxo0by5gxY+Tw4cOlPt+vvvpKWrZsKXa7XVq1aiVff/2151pqaqr87W9/k6ioKHE4HBIVFSVXXnmlZ1JwuhihX5zShL7S189NYmNj5UzDm4oIc+bM8ajMAgMDPXuj3bp1o2fPnueEiv9scB95JlT1+GJjY01o3QrGjO/sp7JC61b1/5ovasrvqFIqQURKjDl8NrjhrVby3YR27drVs18aGBhI165dcblc54TANxgMBsP5gRH65WTPnj3FPp/LWhKDwWAwnHsYoV8GbrebjIwMdu3aRWBgIGPHjiUwMJBdu3axZcsWz9lkg8FgMBhqOkbol4HFYsHlctG4cWP6PPkkia1akZycTOPGjWnRooVPRyUGg8FgMNQ0jMQqB/7+/p7Qn5acHE8o0NjYEu0kDAaDwWCokRihX06WLVsGIihxo3JzWbZsmdnTNxgMBsNZhRH6ZSAipKamsnr1agJdNiKC7cTUrs3q1auJj483gt9wzpOcnMwDDzxAo0aN8PPzo2fPnixfvrzUOrm5uTz++OM0adIEl8tFkyZNeOyxx8jJySmx/AsvvIBSqph/+ML3joiIKNe9y8vbb7/t6V9MTEwxN8aLFi3iyiuvpF69eiilmD59eoXc1xevvvpqic+gKOV5to0bN/acPCqc8uMf5HPgwAFGjRpFeHg4LpeLNm3asHDhwjMeS1nPdvLkyXTo0IHg4GCCg4Pp0aMHP/zwwxnf11A2RuiXgVKKlJQU6v36K0EbtqDW76DzmDHU+/VXFi9ebI7sGc55xo4dy08//cRHH33kCWnbv3//UiPTTZw4kcmTJ/PGG2+wadMmJk2axOTJkz2BYAqzbNkypk6dSocOHUq9d37o1rLuXR6++OIL7r//fsaPH8+qVavo2bMnl19+udcpnZSUFNq1a8ekSZPKHUBn9OjRPPnkk6fcn2XLljF9+vQSn0FRyvNsly9fzoEDBzxp5cqVKKW8XPYeP36cXr16ISL88MMPbNy4kTfffLPECIWnQnmebf369Zk4cSIrV65kxYoV9OvXj6uvvpo1a9ac0b0N5cCX155zIVWEp6bs7GyZ+cknkmWziYAnZdls8spDD0l2dvYZ36MmUFM8SVUWNdkjX0pKitx6660SHBwsderUkfHjx0tycrL4+/vLrl27yt1ORXvkExFJS0sTq9Uq3333nVd+ly5d5N///rfPekOGDJGbbrrJK++mm26SIUOGeOUdP35cmjZtKr/++qtccsklcvfdd/u8d/74Ct/b7XbLxIkTpWnTpuJyuaRdu3blclnctWtXGTt2rFfeBRdc4OX2tjABAQHFPA+WxKhRo8r0nFiU/Gcwe/bsYs+gJMr7bAvz7LPPSkhIiKSlpXnyxo0bJz179iz1XqfzfEt7tqV9R2vXri1Tpkwpte2SMB75ikMpHvnMSr8MlFLY3W5yi1jp51qtRKalmZW+4Yy5+eab+fXXX/nll1+YMWMGkyZN4p577qFVq1alBqopieeff57AwMBSU1nR+AqTk5NDbm4uLpfLK9/Pz4/Fixf7rHfRRRexYMECNm3aBMCGDRv49ddfPVHl8rntttu45ppr6Nu372nd+7HHHuODDz5g8uTJbNiwgXHjxnH77beXqirOysoiISGBgQMHeuUPHDiQpUuX+qxXWeQ/g969e5erfHmfbT4iwgcffMANN9zgpbH47rvv6NatG8OGDSMiIoJOnTrx1ltveW1ZnurzPZ1nm5uby8yZM0lJSSkzOI+hAvA1GzgXUkX53p81c6ZkWyzFVvofTZxofO+fJdTUlf7hw4dFKSUff/yxJ2/MmDECyDPPPHNK9zx58qQcPXpUtm7dWmoqvNorDz169JCLLrpI9u7dKzk5OfLJJ5+IxWKRFi1a+Kzjdrtl/PjxopQSm80mQDHNwNSpU6VLly6SlZUlIlLiKrfwvZOSkrzunZKSIi6XSxYtWuRV5/7775fLL7/cZ9/27dsngCxcuNAr/6mnnvI5Jl8r/eeee04CAgI8yWazid1u98or2j9fz+DkyZPlWumX59kW5qeffhJAVq9e7ZXvdDrF6XTKo48+KitXrpQPP/xQAgIC5M033xQROa3nW9azLbzSX7NmjQQEBIjVapWQkBBPUKZTxaz0i0MpK30TWrcMRARlt/PToEEMnjMHgFyrhbhLemOLiNDXzWrfcJps27YNEaFHjx6evG7dujFt2jSGDh16yu2FhoZ64ptXFJ988gk333wz9evXx2q10qVLF0aMGEFCQoLPOl988QUff/wxn3/+OW3btmX16tXcf//9NGnShFtuuYXNmzczfvx4Fi9ejN1uP617b9iwgYyMDAYNGuT1P5idnU3jxo0B+Oyzz7j99ts91+bOnUuzZs3O/KHkcccdd3jtkz/yyCPUq1eP++67z5NXr169EusWfQYZGRnlumdZz7Yo7733HhdeeCEdO3b0yne73cTGxnpsATp37szWrVuZPHky99xzT5nP90yfbcuWLVm9ejUnTpxg1qxZjBo1iri4ONq1a1fuNgynjhH6ZZAf63lt165cvmcOlqOwqktHtjRrSermzbjdbuOgx3DaOJ1OQMeizycyMpLatWvTpk0bT97u3bu555572Lt3L9nZ2cyZM4eGDRsWa+/555/n+eefL/Wec+fO5eKLLy53H5s1a8bChQtJTU3l5MmTREVFMWzYMJo2beqzzsMPP8xDDz3k8W/Rvn17du/ezQsvvMAtt9xCfHw8R44coW3btp46ubm5LFq0iClTppCamorT6fS69/79+2nevLnn3vneML///vtizyJ/InHllVfSrVs3T369evWwWq1YrVYOHjzoVefgwYPUrVu33M8Fik+ygoKCCA0NLTHefFHK+wyKUtazLcyhQ4f473//y+TJk4u1ExUV5fUdA2jdujWTJk0CKPP5hoaGntGzdTgcnucUExPD8uXL+c9//sMHH3xQwtMyVBTVIvSVUncBDwNRwHrgARHxudGolLobuAdoDOwBnhORj6ugq579rbaBa7GMA1ZA67jNLG/VFUdamtf+l8FwqjRp0gSLxcLWrVs9P6z/+9//SEpK4sSJE4SEhJCVlcXgwYOZPHkyffr0ISkpyRP8qShFV54l4WvlWRYBAQEEBASQlJTETz/9xEsvveSzbFpaGlar1SvParV6BMnVV19dzLnVmDFjaN68OePHj/eaBOXfu27dul73btOmDU6nk927d9OvX78S+xEUFFRiVLeYmBjmzZvHtdde68mbN28e//jHP0p/CBVI0WeQmprKPffc4/MZ5FPWsy3M9OnTcTqdjBgxoti1Xr16eaKH5rNlyxaPHUl5n29RTvfZ5i+wDJVLlQt9pdQwYBJwF7A473WuUqqNiOwpofydwETgVuB3oCvwnlIqSUS+r4L+AnAwK+8YS3MIeDuN6MH7+CuzMSo7G0pRTxoMpVGrVi2GDh3K888/T48ePfjrr7+YNWsW0dHRfP/999xwww18++23dO/e3ROys3bt2j7bqwz1/k8//YTb7aZVq1Zs27aNhx9+mFatWjFmzBhPmbfeeou33nrLY1x2xRVX8OKLL9KkSRPatm3LqlWreO2117jppps8465Vq5bXfQICAggNDfVS7xa+95o1a5gwYYLn3na7nYceeoiHHnoIEaF3796kpKSwbNkyLBYLt912m88xPfjgg9x444107dqVXr16MWXKFPbv388dd9zhKZOSksK2bdsALZD27NnD6tWrCQ0N9UzQUlJSPKG2AV588UUAEhMTPXmhoaElCvCizyA5ObnEZ3CqzzYfEeH9999n+PDhJU4S//nPf9KzZ0+ee+45hg0bxqpVq3jjjTc8mqKgoKDTer7lebaPPvooQ4YMoUGDBiQnJ/P5558TFxdnzupXBb42+ysroQX3e0XytgIv+Ci/FPhPkbxXgcVl3asiDDxyc3Plyy+/lO9eu0LcnyLyGSKRSNI9QfLphMck98iRM75HTaCmGKBUFjXVkE9E5ODBg3L11VdLaGiohIaGyquvvipz5syR6OhomTBhgvz73/8u11GmyjiyJyLyxRdfSNOmTcXhcEjdunXl7rvvluPHj3uVmTBhguifk4K+3H///dKwYUNxuVzSpEkTGTdunKSnp/u8T0lGbIXvHRkZWezebrdb3njjDWndurU4HA4JCwuT/v37y88//1zmuCZPniyNGjUSh8MhXbp0KWZ8tmDBAgGKpVGjRhUbd2mpvN89X4Z8p/tsf/31VwHk999/93nP2bNnS4cOHcTpdErz5s1l0qRJXsbJp/t8fT3b/O/oqFGjpGHDhuJwOCQ8PFwuvfRS+fHHH8v1nIpiDPmKQymGfEqqUD2tlHIAacAIEfmqUP5koJ2IXFJCnQTgZxEZVyjvWeBfQICIZPu6X2xsrKxYseKM+/3dd9/R9+QYQmzHdca74BbF6ptupUu/R6BJEzjLjfni4uI8K8lzkaoeX2xsLBXx3QN488032bJlC2+++Sa5ubmcOHGixNV8cnJyierWcwUzvrOfyhhjRf6vnSk15XdUKZUgIiUGh6lqC7QwwAocLJJ/EPBlQfMTcLNS6kKliQXGAva89ioVt9uN1Z2Ky5JWkNkCLKuEVraZuDNSISursrthOI8ZPXo027dvp127dsTGxrJly5bq7pLBYDhLORus959BTwiWAgo9QfgIvdIvZrmilLoNuA20FXRcXNyZ98BiJ97/eYLdu+iS9RbuNlYsKbls3n09J8LWwf6DYDsbHqVvUlJSKuZZ1VCqenwZGRkkJydXWHtffPGF1+eS2s7Nza3Qe9Y0zPjOfipjjBkZGTXmt+ts+B2takl1BMgFIovkRwKJxYuDiKSjV/q355U7gBbqycDhEspPBaaCVu+fsarl+Hrifl1Jn4yHPFmWyFwIgM5Lp0Crz6D5ImjR8axW8dcUtVRlUdXjc7lcVa6qPdfVw2Z8Zz+VMUaXy1VjfrvOht/RKlXvi0gWkAAMKHJpAHolX1rdbBHZKyK5wHBgtogUP6NS0Wx4AW2PU4TmwHIgNwv2vgXldKxhMBgMBkN1UR066deAT5RSfwBLgDuAaGAKgFLqYwARuSnvcwugG7AMqA08CLQDRlVJb5PWAJ2L53cEVgPbM8F/GZw4AeWMxGUwGAwGQ3VQ5a7kROQL4AHgMbTYvAgYLCK784o0zEv5WNGC/k9gHuACeorIrirp8JA1EBqDjHDD8CyIfRsAiQ3X1/eOhNgfITkZcnOrpEsGg8FgMJwO1eI/VkTeFpHGIuIUkRgRWVToWh8R6VPo80YR6Swi/iISIiJXi8jmEhuuJNLS0oiPj0ewQmgX3a9ax/R05Kc4kCwdhic9vSq7ZTAYDAbDKWGcxpdBvkODtWvXEr9sGeKKIsMahcWSS07bANi9D9as1F75jh+v7u4aajCjR49GKVUsde/e3VOmcePGnnx/f3/atWvH1KlTvdrJysri5ZdfpnPnzvj7+xMaGkr37t358MMPq9SN6YEDB7j++utp1aoVVquV0aNHl6vec889R69evQgICCgxWNXhw4e57LLLiI6Oxul00qBBA+6++25OnDjhKRMXF8dVV11FVFQU/v7+dOjQgQ8//LBCxpWZmcm9995LWFgYAQEBXHnllezdu9dz/c8//2TEiBE0aNAAPz8/WrZsyUsvvVSiG9zTxe12c+WVV9KwYUNcLhdRUVHccMMN7Nu3r8y6Bw4cYNSoUYSHh+NyuWjTpg0LFy70XC/pe1j4O7hr164Sv6dKKV5++eUzHtvChQuJiYnB5XLRtGlTpkyZ4nV98uTJdOjQgeDgYIKDg+nRo4fx1FeBGKFfBvlf9qCgINauXctHn89iX7p2KZDZP1oX+t//wOmEtDTIyanG3hpqOv379+fAgQNeaU5e9MZ8nnjiCQ4cOMCaNWu4+uqruf322z1H9rKysrjssst47rnnGDNmDEuWLCEhIYEHH3yQTz/9lPj4+CobS2ZmJmFhYTz66KNegVfKU2/o0KE88MADJV63WCz8/e9/5/vvv2fLli1Mnz6d+fPne0WuW7p0Ke3bt2fWrFmsW7eOO++8k9tuu43PP//8TIfFAw88wNdff82MGTP47bffOHnyJH/729/Izdu+S0hIIDw8nE8++YT169fz1FNP8cwzz3hc8JZEXFycJ/JfeenXrx9ffvklmzdv5uuvv2bHjh38/e9/L7XO8ePH6dWrFyLCDz/8wMaNG3nzzTeJiIjwKlf0e1j4O9igQYNi39G3334bpRTXXHPNKY2hKLt27WLw4MH07NmTVatWMW7cOO69916+/vprT5n69eszceJEVq5cyYoVK+jXrx9XX301a9asOaN7G/Lw5arvXEgV4Z7R7XbL7Nmz5d1335VXX31V3p/yhiyacrnIZ0jylOYiIFK/rsieXSKbN4sUcU96tlBT3EdWFjXBDe+oUaNkyJAhpdZr1KiRvPzyy155zZs3l+HDh4uIyMSJE0UpJcuXLy9W9/jx43LixIkz6PXpM2TIEC/3tOXhq6++8nIvWxqTJk2SyMjIUstce+21MnToUK+8//3vf9KlSxdxOp3SuHFjGT9+vGRmZvps4/jx42K32+XTTz/15O3Zs0eUUqW6iX344YelS5cuPq8vWLBAGjVqVGr/y3Kj/N///leAUl0Zjxs3Tnr27FlqO+X5Hhalf//+MmDAAK+848ePy6233irh4eESGBgovXv3LvF7WZgHHnhALrjgAq+8W265Rbp3715qvdq1a/t0RW3c8BaHUtzwmpV+GSilCAgIIDAwkIyMDA4fPc7eVG3EF1D7KESGwd5EWLVcr/aTkqq5x4ZzDZfLRXa29jb92Wef0b9//2IR6kCvkIODg322ExgYWGq6/PLLK20MZ8L+/fv55ptv6NWrV6nlTp486RWM6KeffmLkyJHcc889rF+/ng8//JBZs2Yxfvx4n20kJCSQnZ3NwIEDPXkNGjSgdevWLF3q+1Rx0XtXNMeOHeOzzz6jW7duuFwun+W+++47unXrxrBhw4iIiKBTp0689dZb+TFLPCxevJiIiAhatGjBrbfeyqFDh3y2uWPHDubPn+8VYEdEGDJkCPv27WP27NmsWrWK3r17069fPw4cOOCzrT/++MPr2QJcdtllrFixwvMdL0xubi4zZ84kJSWFnj17+mzXUH6M0C8DESE1NZXk5GRcLhehYRGkWaPIcPujco4hQ3vogv/9r97Xz8zUyWAogR9//LGYsH3kkUdKLJuTk8P06dNZu3Ytl156KQBbt26ldevWp3Xv1atXl5ref//90x5XZTBixAj8/f2pV68eQUFBvPPOOz7Lzp49u5hgeu6553j44YcZM2YMzZo1o2/fvkycOJEpU6YUE4L5JCYmYrVaCQvz9vAdGRnpFTmvMCtXrmT69Onceeednrw9e/YUm1AVzSscdc4XjzzyCAEBAdSpU4c9e/Ywe/bsUsvv2LGDt99+m6ZNm/LTTz9x//338+ijjzJ58mRPmUGDBvHxxx8zf/58Xn31Vf744w/69evn0x7k/fffJzw8nKuuusqTt2DBAlavXs2sWbPo2rUrF1xwAc888wxNmzblk08+8dm/gwcPEhnp7ZstMjKSnJwcjhw54slbu3YtgYGBOJ1O7rjjDr799lvat29f6tgN5ePs9h1bBRTe0883OnL41SbJ0oQo1qN6R8A7wA8/wZPPg9Wqj+85ndXbcUONpHfv3sUM84qGmP33v//Nk08+SWZmJg6Hg4cffpjbb78dwKewKg8XXHDBadetDv7zn/8wYcIEtmzZwrhx43j00UdLNNZbsmQJ119/PW+88QZdu3b15CckJPDHH38wceJET57b7SY9PZ3ExESmTZvmCSMLsGHDhlPu4+bNmxkyZAgPPPCAV7z46OhoVq9e7fn8+++/88gjj3i5aC1NK5PPww8/zC233MLu3bt56qmnuOGGG5g7d26JBpD544uNjeWFF14AoHPnzmzdupXJkydzzz33ADB8+HBP+fbt2xMTE0OjRo344YcfGDp0qFd7OTk5TJs2jVGjRmEvFEI8ISGBtLQ0wsPDvcpnZGSwfft2AK9wvjfccEMxg73SaNmyJatXr+bEiRPMmjWLUaNGERcX5xVy2HB6GKFfBvn7ICkpKbRr144ePXrwx+KfOLh9PlGO9Uitw6jourA/EZbHQ9ee2oo/NBQsRpFi8Mbf379M4fvggw9yyy234O/vT1RUlNcPfIsWLdi4ceNp3bukmOqFufjii5k7d+5ptV0Z1K1bl7p169KqVStCQ0O5+OKLeeqpp2jQoIGnzOLFixk8eDBPP/2010obtACcMGEC1157bbG2w8PDueOOO7juuus8edHR0dStW5fc3FyOHDniJdAOHjzIxRdf7NXGpk2b6Nu3L8OHDy9mxGez2bz+znv37i2WVx7CwsIICwujRYsWtG7dmgYNGrB48eJifcknKiqKNm3aeOW1bt2aSZMm+bxHdHQ09evXZ+vWrcWuff/99yQmJjJ27FivfLfbTWRkJL/99luxOvmTmcKTnvy8yMhIDh70jrd28OBBbDabl3bF4XB4nlVMTAzLly/nP//5Dx988IHPcRjKhxH6ZZC/0s8X+EopunbvzZb03+HIPFTqWhgyAN77RFvxd79IO+lJT4eAgOruvuEspE6dOj6Fw/XXX8+4ceNYsWJFsX19t9vNyZMnfa4gC/8Il4RfDfYomX8crrAKetGiRQwZMoSnnnqqxJMAXbp0YdOmTT6fZWhoaLEQxTExMdjtdubNm8f1118PaIG9ceNGrz3lDRs20K9fP6677jr+85//nOnwykVJz6AovXr1YvNmbzcmW7ZsoVGjRj7rHDlyhH379hEVFVXs2nvvvccll1xCixYtvPK7dOnCwYMHsVgsNG3atMR2S3ruXbt2LXb8bt68ecTGxnppEoridrur9DjqOY0vC79zIVWUVeeCBQvE7XYXZORmi/vonyIznCKfIfLNm9qKP7yOyJ49Ijt2iOzdWyH3ripqitVpZVFTrPf79+8vBw4c8EqHDh3ylCnJer8wGRkZcvHFF0utWrVk0qRJsmrVKtmxY4d8/fXX0rVr1yof56pVq2TVqlVy8cUXyxVXXCGrVq2S9evXe65/88030rJlS9lb6P9h9+7dsmrVKnn55ZcF8LSRnJwsIiLff/+9TJ8+XdauXSs7d+6U2bNnS+vWreXCCy/0tLFgwQLx9/eXhx56yOez/PHHH8Vms8njjz8ua9eulY0bN8pXX30lDz/8cKljuuOOO6RevXoyb948WblypfTp00c6duwoOTk5IiKybt06iYiIkGHDhhX7W+aTk5NT7FrRdLzISZ/C1vtLly6Vt956S1avXi27du2S+fPnS8+ePaVx48Ze1vstW7aUN9980/P5jz/+EJvNJs8++6xs3bpVvvzySwkODpa33npLRESSk5Pl//7v/2Tp0qWyc+dOWbBggXTv3l3q1atX7PTA7t27xWKxeJ1kyMftdstFF10k7dq1kzlz5siOHTtk6dKl8sQTT8iiRYt8Pts1a9aIv7+/3H///bJhwwZ57733xG63y6xZszxlHnnkEVm0aJHs3LlT1qxZI48++qgopWTOnDkltmms94tDKdb71S6YKzNVpNAvxsltIj/10kJ/8TMiDevpx/nFTJF9+0Q2bRLJzq6Q+1cFNeXLWlnUFKGPjt7klerVq+cpU5bQF9GC/8UXX5QOHTqIy+WSWrVqSbdu3eT1118v9ThaZVDSeAofTZs2bZoAsnPnTk+er+eQ/zeaN2+edO/eXUJCQsTlcknz5s3lX//6l+zevbvMNooei/vpp5/koosuEj8/PwkKCpKYmBgvIVkSGRkZcs8990hoaKj4+fnJ3/72N9mzZ4/n+oQJE0q8N4WOH+7cudNnmfxU9IhjYaG7atUq6dOnj4SGhnqOG95xxx3y119/FXv+EyZM8MqbPXu2dOjQQZxOpzRv3lwmTZrkWbSkpaXJwIEDJTw8XOx2uzRs2FBGjRrlNb58nnjiCaldu7bPI4InT56U++67T+rVqyd2u13q168vw4YNk23btvl8tidPnpS4uDjp3LmzOBwOady4sbzzzjteZUaNGiUNGzYUh8Mh4eHhcumll5Z6XNII/eKUJvSVvn5uEhsbKytWrDjjdkoMl5h2ADa+DJv/A6F/h//Vgnemwcjh8NKrkJICkZEQEnLG968KzoaQkGdCVY8vNjaWivjunQrnemhWM76zn8oYY3X8r/mipvyOKqUSRKT4uV7Mkb3Tx+YPoXnPNG01DO6v38/5EbKzweWCo0e1T36DwWAwGGoARuifLhYH1OoAVhdk7IQGwdC8CSQdhwULwGbTwt8YnxgMBoOhhmCE/ulicYDVAaEX6s/JK+HqIfr917P0q80GJ09WT/8MBoPBYCiCEfqni8UKygZ18qJTpa6CKy4DpeDneVrYu1xw4oQ+wmcwGAwGQzVjhP6ZYPOHOnkr/bQ1EBYK3bpAVhb88IOeAIhAamr19tNwXjN69Gj+9re/VXc3zlratWvHk08+Wd3dMBgqBCP0zwSrP4S0AasfpO+A9IMFKv5ZX+lXpxOOHau+PhrOC0aPHk1wcHCx+OerV69m0qRJfPrpp56yffr08bhkNdRc3n77bZo0aYLL5SImJqZE73dFKStW/ZNPPlnsO1K3bl2vMqNHjy5Wpnv37l5lpk6dSt++falVqxZKKXbt2nXG4zVUDUbonwlWR56KP8/fd9qfMKgfOB2w7HfYu7cgCE9GRvX21XDO07dv32Jx0Nu1a0dISEgx//7nG1lZWdXdhVPiiy++4P7772f8+PGsWrWKnj17eoL2+GLnzp1lxqoH7de+8Hdk7dq1xdrq37+/V5k5c+Z4XU9LS2PgwIFGA3IWYoT+mWBxaBV+WF6kvcx1WuD3760/f/ONfjUGfYYqwOFwePzV5yebzeal3h89ejQLFy5k8uTJnlVcSau0MWPGEB4e7hWQZufOnTgcDi+tQVG++eYbOnTogJ+fH6GhoVxyySVevtZfeukl6tatS2BgIDfddBNPPvkkjRs39lwvaSviySef9Aq0snz5cgYOHEhYWBjBwcFcdNFFxMfHe9VRSjF58mSGDh1KQECAJ5zu999/71kJN2nShH//+99eE4JDhw5x1VVX4efnR6NGjUoM8FMVvPbaa4wePZpbb72V1q1b8+abbxIVFVVqpMEpU6YQHR3Nm2++SevWrbn11lsZNWoUr7zyilc5m83m9R0pGjQHwOl0epUp6q74gQceYNy4cVx00UUVM2BDlWGE/pmgLGBxQmg3/Tl5pT6m9/e8H62vv9Z7+i6XDsJjDPoM1cykSZPo0aMHY8aM8aziCgewyee1117jhRde4PHHH/f4cn/iiSdo2bKlxyd9URITExk+fDijRo1i48aNLFq0iBtvvNFz/csvv+Sxxx7jqaeeYuXKlbRs2ZLXXnvtlMeQnJzMjTfeyG+//cYff/xBp06dGDx4MEePHvUq99RTTzF48GDWrl3L3XffzU8//cTIkSO55557WL9+PR9++CGzZs3yTAhATzq2bdvGL7/8wnfffcfHH39cpur6t99+KxYuuWgqPHkqi6ysLBISEorFnR84cCBLly71WS8+Pr5csep37NhBdHQ0TZo0Yfjw4ezYsaNYW4sXLyYiIoIWLVpw6623cujQoXL331CzqZaAO0qpu4CHgShgPfCAiPjcsFJKXQ/8C2gBnAR+AR4SkZIDXFcltkAIbqX399N2Qu4xuKg7hNaCbdtgzRro2FGXTU2FcoTTNBhOh19++cUrkl5JUfNCQkJwOBz4+/sX28stTO3atRk7diyzZs3i448/ZsSIEXz++ed88803WHxEj9y/fz/Z2dlcc801ngAvhVfor7/+OqNGjfKECf73v//NggUL2LZt2ymNs1+/fl6f33zzTb7++mvmzp3LDTfc4MkfNmyYV3S4UaNG8fDDDzNmzBgAmjVrxsSJE7nhhht4+eWX2bp1K3PnzmXx4sX06tULgI8++shnQJl8YmNjywxmVHSlXBpHjhwhNze3xLjzv/zyi896iYmJ9O/fv1id/Fj1UVFRdOvWjenTp9OqVSsOHTrEs88+S8+ePVm/fj116tQBYNCgQQwdOpQmTZqwa9cuHnvsMfr160dCQgJOEzL8rKfKhb5SahgwCbgLWJz3Olcp1UZEim1YKaV6AZ8ADwHfAZHA28BnwKVV1G3f2Fx6xV+nGxxaADkbQSLhigHw0Vd6td+xY4GHvqAgvSVgMFQwvXr18go9WhFR82666SbGjRvH2rVrufDCC7nqqqsA+OyzzzzCG2Du3Ln07NmT/v37065dOwYOHEj//v255pprPOrjjRs3FgvR2qNHj1MW+ocOHeLxxx9nwYIFHDx4kNzcXNLT04vtdxeNQpiQkMAff/zBxIkTPXlut5v09HQSExPZuHEjFouFrl27eq43atSI6OjoUvvj5+d3yiFzq4vLL7/c63P37t1p2rQpH330EQ8++CAAw4cP91xv3749MTExNGrUiB9++IGhQ4dWaX8NFU91qPcfBKaLyHsislFE7gUOAHf6KN8D2Csi/xGRnSKyDHgT6FZF/S0dixMUEJ4XdjPtT63ivzpPxf/f/+rPNps+ymc89BkqiXzhk5/q1at3xm1effXVJCUl8f333/Pcc8958q+88kpWr17tSbGxsVitVn7++Wd+/vlnOnTowAcffEDz5s35888/y30/i8VC0XgghVXToFfs+fHVly5dyurVq6lfv34xY72AIqGt3W43EyZM8Or3mjVr2Lp1q9e+tjrFSXlFq/fDwsKwWq0lxp0vTTtTt27dcsWqL0xgYCBt27Zl69atPtuNjo6mfv36pZYxnD1U6UpfKeUAYoBXilz6GehZvAYAS4DnlVJXALOBOsBwYI6P8lWLxZZnwZ83B0n6HercA+3bQLNGsH03/PorXHaZFvzHj0Mp/7gGQ2XjcDjILad9ib+/P82bN0cpxaWXFijWgoKCSgycopSiR48e9OjRgyeeeIK2bdvyxRdf0LFjR1q3bs2yZcu4+eabPeWXLVvmVT88PLyYqrzo58WLF/PGG28wZIg+Hnvw4EEOHDhQ5li6dOnCpk2bfK7KW7Vqhdvt5o8//qBnT/1ztGfPHvbv319quxWt3nc4HMTExDBv3jyuvfZaT/68efP4xz/+4bNejx49+Pbbb73yyopVn5GRwaZNm+jbt6/Pdo8cOcK+ffuIiooq9xgMNZeqVu+HAVbgYJH8g0D/4sVBROKVUsPR6nw/dJ/nAaMqsZ+nhs0fglqCLRhSd4HjJGRZ4JohMPFtmDFDC32XS1vxh4XpCYDBUA00btyYP/74g127dhEYGEhoaKjPffp58+axcuVKAgMDSUtLw9/f32e7y5Yt45dffuGyyy4jMjKSVatW8ddff9GmTRsA7r//fm666SYuvPBC+vTpw6xZs/j999+9BGK/fv146aWX+PDDD+nduzfffPMNS5YsoX79+p4yLVq04NNPP6Vbt26kpqbyr3/9C4fDUea4n3jiCf72t7/RqFEjrrvuOmw2G+vWreOPP/7gpZdeomXLlgwaNIjbb7+dqVOn4ufnx4MPPljmNkllqPcffPBBbrzxRrp27UqvXr2YMmUK+/fv54477vCUuemmmwD4+OOPAbjjjjt46623eOCBB7j99ttZsmQJ06dPZ8aMGZ46Dz30EFdccQUNGzbk0KFDPPPMM6SmpjJqlP45TUlJ4cknn+Qf//gHUVFR7Nq1i3HjxhEREcHf//53TzuJiYkkJiayZcsWADZs2MDx48dp2LDhKU1wDFVPjZc8Sqk2aHX+M8BPaOO/l4F3gZtKKH8bcBtoI5a4uLgz7kNKSkrp7YgbJJu21g6E5yxm86YfOWAbiL1LL3pY30XNn0/8okVk1akDbjf89RdYrWfcr4qkzDGe5VT1+DIyMkhOTq6y+2VnZyMiJd4zOzubnJwcz7U77riDO+64gzZt2pCens7atWs9hndFefTRRxkyZAhr1qzhs88+89rvLYrNZmPhwoW88cYbnDhxgnr16vGvf/2Lq666iuTkZAYPHsy4ceMYP3486enpXH755dx99918/vnnnr717NmTRx991FPm2muvZezYscyZM4fc3FySk5N58803ue+++4iJiaFu3bqMGzeOgwcPkpmZ6TX+9PR0r889e/bkq6++4qWXXuKVV17BZrNxwQUXcP3113vKvfXWW9x7773069ePOnXq8Oijj5KYmFis7cogf3wAgwcP5sUXX+SZZ54hMTGRNm3aMGvWLEJDQz1ldu7cCeD5HBYWxqxZsxg3bhzvvPMOUVFRvPTSSwwcONCrzvDhwzl69ChhYWFceOGFzJ8/39Nueno6q1at4qOPPuLEiRPUrVuXiy++2HN0Mb+dSZMm8eKLL3r6nq91eeeddxg5cmS5xlhRZGRk1JjfrrPid1REqiwBDiAHuLZI/mRgoY86nwDfFsm7CBCgfmn3i4mJkYpgwYIFpRfIyRA5sVlk/USRzxD5dZDI+sUi25aLDOwtAiKPPiqyb5/Inj0i27aJuN0V0reKoswxnuVU9fgq6rt3Kpw8ebJC2/vmm2/EYrHIunXrZPz48TJgwIAKbV9E5OWXX5ZGjRqVq2xFj6+mca6PT6Ryxlgd/2u+qCm/o8AK8SEXq9SQT0SygARgQJFLAwBfB1D9gaIbkPmfa4afAYsDUBCe55Tn8BII9NdGe9deofNmztRn9q1WbdiXllZt3TUYysLtdvP4448zYsQI2rZty0033cT8+fN55513OHLkSHV3z2AwnCbVITRfA0YrpcYqpVorpSYB0cAUAKXUx0qpjwuV/x64Sil1p1Kqad4RvjeAlVLCEb9qQSntf9+vLgQ2hZxkyNmqnfFcchFEhsOuXZBvtJR/fM9gqKF89tlnbN68maeeegrQrlufeeYZHn/8cR5++OFq7p3BYDhdqlzoi8gXwAPAY8BqtKp+sIjszivSMC/ll5+OPuZ3D7AOmAVsAa6qqj6XC1sAuLMhoo/+fGyp9ruvrDB0kM7LN6hxOCA93RzfM9RYbrzxRrKzs2nWrJknb/z48Rw5coRp06ZV2H0eeughE6zFYKhCqkU9LiJvi0hjEXGKSIyILCp0rY+I9ClS/k0RaSsi/iISJSIjRWRvlXe8NKwuwA0Rl+jPhxdp73uZmXBN3pn9H34o8MFvs8GJE9XSVYPBYDCcn9SMPfFzgfx9/bCeoOyQtBpsmdpav3ET6N5FR9r77jtdPt8ff05O9fXZYDAYDOcVRuhXFBarFvwWB9S5EBA48YdW8ecC1wzW5WbO1K/5Xr+q8FiXwWAwGM5vavw5/bMKWyBkndD7+keWwsGF0LwPHD4Ml/WFpyfBn3/CunXQrh34+cGxY1CrlvHHf44RFRVVzPd7ZZORkYHL5arSe1YlZnxnP5UxRuMp8NQwQr8isflB5lG9r7/heTgUBx1e1Ef1AoLg74N0EJ6PP4aXXtLH93JydPS9QtHRDGc/33//fZXfMy4ujj59+lT5fasKM76zn/NhjDUdo96vSCx5rkBD2oAzHDISIW0H+PtDdi4Mv1Jf/+abAoM+lwuOHNETA4PBYDAYKhEj9CsSi10ngPCL9euhOAippSPsXdAYenTVx/W+/lpft9u1gV9GRjV02GAwGAznE0boVzS2AHBnQmQf/fnQIvBz5fnat8P1eav9jz4qWN07HMZZj8FgMBgqHSP0KxpbAEhuwXn9I8sgNxOCgrSKv19PiIiArVu9PfSlpBhnPQaDwWCoVIzQr2isTv3qDINaHcGdAUcWa0O9nBy9qh+eF6Lyo48K6tnt+ty+wWAwGAyVhBH6FY3FDsqmV/t18+IKHZgHDqcW7G4bXDNIq/vnzoWDB3UZl0t76MvOrr6+GwwGg+Gcxgj9ysAWCO6sAqGfOA8QCAnRQr1uHRhwqV755/vjVwoslgKrfoPBYDAYKhgj9CsDewC4cyGkLfhFQ+YhOL4GAgK0W15lhevzVPyfflrgitfl0s56cotGEjYYDAaD4cwxQr8ysDhBiV69e1T8P4PNrs/s5yjo1gaaNoUDB+Cnn/LqWbRFv3HNazAYDIZKwAj9ysBi00F3JBfqDtR5ifP0a0gtreK3KLjpep33/vsFdf38tLMet7tKu2wwGAyGcx8j9CsLezDkZkFYD32M7+QGSNurz+zbbCBWGDpAh9/94w/tkx+0gZ/bbVb7BoPBYKhwjNCvLGz+IDn6CF/+mf3EX0BZ8gz6BFwKRgzX1957r6CuWe0bDAaDoRIwQr+ysDgKIud5rPh/1q8BAZCTZ6x343V6L//77/X+PujVfm6udthjMBgMBkMFYYR+ZWGx6TP77hyIvBSwwOGlkJ0MdgcE+EOugrqBMHiwtuCfPr2gvgnEYzAYDIYKxgj9ysQWpM/rO+tAaAxINhxaqK+F1IJst/bTP3aMzvv0Ux2MB/S+f3a2DrtrMBgMBkMFYIR+ZWLzB/L25aPyrfjzVPwegz6gUwvo3Fm74f3qq4L6LhccOmRW+waDwWCoEKpF6Cul7lJK7VRKZSilEpRSF5dSdrpSSkpINX8JbHGipToFR/cO/qpV/h6DPgXZJ+HWsfr6++8XGPDZ7Xq1n5ZW5V03GAwGw7lHlQt9pdQwYBLwPNAZWArMVUo19FHlfiCqSNoBfFn5vT1DLFawuMCdDYHNIKAJZCXB0d/19YAAyBV9nv+yvhAVBdu3w6+/FrRhVvsGg8FgqCCqY6X/IDBdRN4TkY0ici9wALizpMIickJEEvMT0AxoCrxXUvkahz1Y7+srBdFDdN7+2XnX8gz6cgRIhbF5q/233y5U365D7pq9fYPBYDCcIVUq9JVSDiAG+LnIpZ+BnuVs5lZgvYgsrci+VRo2P5A8dX29v+nX/XP16h6gVm3IAXLT4PphWuX/+++wfHlBG/7+ZrVvMBgMhjOmqlf6YYAVOFgk/yBQt6zKSqkQ4DrOllU+5Pnht2jBH9IOAhpD5mE4kqfid7nyQu66wU/B6NE6/623CtrIt+Q35/YNBoPBcAYoqcLVo1IqGtgHXCIiiwrlPwGMFJGWZdS/G3gViBaRYz7K3AbcBhAZGRkzc+bMM+53SkoKgYGBp9+A5OSt9hVNkj+gUeoX7PO/gq3B9+rr7lx9Tl8p7CfT6H7jjVgzM1n+7rukNmmS10be38nhOKOx+OKMx1jDOdfHB+f+GM34zn7O9THWlPH17ds3QURiS7woIlWWAAdamX1tkfzJwMJy1F8NfFbe+8XExEhFsGDBgjNrIDtF5PgmkdR9Ivt+FPkMkVnhIil7dF7yHpG1i0Q2LxTZs01kzBgREBk6VGTfvoK0ebPIiRMVMqainPEYazjn+vhEzv0xmvGd/ZzrY6wp4wNWiA+5WKXqfRHJAhKAAUUuDUBb8ftEKdUV6MjZpNrPx+IscMkb0g78G2kV/9E/8q5b9V5+Vg7kJMPtt2tXvP/9L+zZU9COnx8cPmx88hsMBoPhtKgO6/3XgNFKqbFKqdZKqUlANDAFQCn1sVLq4xLq3QZsFZG4qutqBWGxaV/87mwt/PMN+vbNLigTHAxuK+QmQ/1ouPpq7X//3XcLylitehvAROAzGAwGw2lQ5UJfRL4AHgAeQ6vrLwIGi8juvCIN85IHpVQQMBx4n7MVe4g+ugeFrPh/KLDitzv0uf2sbMhJhbvu0vkzZ2of/Pn4++vVfm5u1fXdYDAYDOcE1eKRT0TeFpHGIuIUkRgpZNQnIn1EpE+R8skiEigiL1V5ZysKm1+BMV5I++Iqfig4vpdzHFq2hAEDICMDpk4tKGO1avX+iRNV2XuDwWAwnAMY3/tVRf6+vohvFb/LBQ4/yE4Hdwbcf7/OnzYNjh4tKOfvr1f/OTlV13+DwWAwnPUYoV9VKAW2QB1VDwqp+OcUqPiVgtq1ISsXck7oIDz9+mnf+4X39i0WnY6VeGrRYDAYDIYSMUK/KrEHaWM+KKTiP1TgqAcgMFBvBWSd1GUffFDnF13t+/lpoZ+ZWXX9NxgMBsNZjRH6VYnVBXkn91AK6l+l3//1dUEZZYFatSAzG3JTvFf7U6YUKqe0J7/CRn4Gg8FgMJSCEfpVicWm9/bdeXvxDf6hX/f/ALnpBeWCgkA5dEQ+cZe+2k9OhvRCdQ0Gg8Fg8IER+lWNPaRgXz/oAqjVSTvkOVAoBpHVpi35M9L0ZKBzZ7j0Ui3cC6/2AZxOE4zHYDAYDOXCCP2qxuYPFPKo1/Aa/frXLO9ywcGQa4XsPGM9X6t9p1NPBkwwHoPBYDCUga26O3DeYXWCsmuLfWWFelfB2ifh0ELIOAyucF3O7oCQ2pByFBwZ0KmTXu3Pn68j8E2YUNBmQIBe7fv763P8BoPBUA1kZ2ezd+9eMjIySrweEhLCxo0bq7hXVUdVj8/lclG/fn3sdnu56xihXx3YQ/R+vc0fnKEQ2Q8Sf4Z9/4VmYwvK1aoFJ45CzkltBPjww1rof/QRjB0L9erpclar9tB3/DjUqVMdIzIYDAb27t1LUFAQjRs3RuXHGylEcnIyQUFB1dCzqqEqxyciHD16lL1799IkPxprOTDq/erAHlBwNh8KDPr2FFHxO13gHwLpR/Xxvfbt4cor9TG9V1/1LhsQoNX+WVmV23eDwWDwQUZGBnXq1ClR4BsqFqUUderU8alV8YUR+tWBxalV+5K3t1+3P9iC4cRaOLnZu2ydOpCdo1f7AP/6F9hs8NVXsGVLQTml9IrfHOEzGAzViBH4VcfpPGsj9KsDpcAeDLl5VvxWF9S/Qr8vfGYf9LE8VwikHdHagSZN4Prrtf/9F18sXvbkSXOEz2AwnD306aOToUo4JaGvlOqulHpSKfWjUmqNUmqrUipeKTVdKTVGKVW7sjp6zmEPQkfXyaNBnhX/3m8KNAD5hIVDdqaOvgfwz39qAf/TT7B8uXdZlwsSE/WkwGAwGM5DnnvuOdq2bUuHDh3o1KkTv//+O6+//jppaWkVdo/GjRtz5Aw0q9OnT+eee+6psP6Ul3IJfaXUKKXUWmAp8E/AH9gK/A4kAd3QYW/35U0Aym9VcL5idQKWgvP1oReCf0NIPwCHF3uXdbnAFQxpB/WEICICbr1VX3vhBe8z+g6H3tc3UfgMBsPZQP7vVWJihTQXHx/P7NmzWblyJWvWrOGXX36hQYMGFS70T5XcGhIOvUyhr5RaA7wIzAFigFoi0ltE/iEiN4jIYBFpDYQCtwIRwAal1LDK7PhZj7Lk+eLPM8JQChpeq9/vnlGkrIKwSMhMK/Dcd+edOjjP77/Dr796lw8IgMOHITu7csdgMBgMZ8Inn+jfsLVroWlT/fkMOXDgAGFhYTidTgDCwsKYNWsW+/fvp2/fvvTt2xeAO++8k9jYWNq2bcuEQkegGzduzIQJE+jSpQvt27dn06ZNABw9epSBAwfStm1bxo4dixRabF199dXExMTQtWtXphYKhR4YGMj//d//0bFjR+Lj45k2bRotWrSga9euLFmy5IzHejqUZ6X/AdBERB4RkVUiJbt+E5ETIvKZiAwGugPHK7Cf5yb2oAKXvACNhgMW2D8XMouojbxW+6Kd99x7r7727LPeYXYtFm3Ud/hwpQ/BYDAYTovERLj9dr0VmZurbZFuv/2MV/wDBw7kr7/+okWLFtx1110sXLiQ++67j+joaBYsWMCCBQsAvQWwYsUK1qxZw8KFC1mzZo2njbCwMFauXMmdd97JK6+8AsBTTz3FRRddxPr16/n73//Onj17POU//PBDEhISWLhwIW+88QZH8xyopaam0q1bN/7880+aNWvGhAkTWLJkCYsXL2bDhg1nNM7TpUyhLyKTROSUzgSIyJ8i8tPpd+s8weLSq/j8eZRfNNS9FCQb9nzlXTZ/tZ+eXKAdGD0aGjXSVvyffupdPt+oLzW10odhMBgMp8zOnTpoWGEcDp1/BgQGBpKQkMDUqVMJDw9n2LBhTJ8+vVi5L7/8ki5dutC5c2fWr1/vJYSHDh0KQExMDLt27QJg0aJF3HDDDQAMGTKE2rULTNjeeOMNOnbsyKWXXspff/3F1q1bAbBarfzjH/pI9u+//06fPn0IDw/H4XAwbFj1KMON9X51YrGCLbDAFz9A45H6ddenxQ36/PzALxDSD+nPTic8/rh+/8or2jlP0fIHDxqjPoPBUPNo0qT4FmRWls4/Q6xWK3369OGpp57irbfe4uuvvU9F7dy5k1deeYX58+ezZs0ahgwZ4nXePX9rwGq1klNYi1oCcXFx/PLLL8THx7N06VI6d+7sacvlcmGtYV5Syy30lVJXK6WmKaV+z7Pa35r3fppS6upK7OO5jSNEO97JJ6Iv+EVB6i44stS7rFIQFgVpSQV7+4MGQY8ekJQEr7/uXd5u12r/Y8cqcwQGg8Fw6tStC+++W7Ad6eenP9ete0bNbt682bPSBli9ejWNGjUiKCiI5ORkAE6ePElAQAAhISEcPHiQuXPnltlu7969+fzzzwGYO3cuSUlJAJw4cYLatWvj7+/Pli1bWLZsWYn1u3XrxsKFCzl69CjZ2dl89dVXJZarbMp0w5t3DO97oCewB1gP5HuFCQX6AKOUUvHA30QkqXK6eo5i9dNfehEt1C02aHQ9bHpVr/bDL/Iu7+cHriBIOwRBjXSdJ5/Uwn/aNLjxRmjWrKB8QIB22BMUpDUDBoPBUFO48UZ45x29nz937hkLfICUlBTuvfdejh8/js1m44ILLmDq1KnMmDGDQYMGefb2O3fuTKtWrWjQoAG9evUqs90JEyYwYsQI2rZtS8+ePWnYsCEAgwYNYsqUKbRu3ZpmzZrRvXv3EutHRUXx5JNP0qNHD2rVqkWnTp3OeKynQ3l8778KNAQuEZHfSiqglLoI+BR4BbilrAaVUncBDwNR6EnEA77azivvAB4DbgSigYPAKyLyRjn6X7NRFrAF6TP4Vj+d13AYbPoP7P9RG/Q5wwqVVxARDXs2g3+kduzTrh2MGAGffw7PPAOF96+U0sI+MREaNtSfDQaDoabgcOhUAQIf9D780qVLi+Xfe++93Jtv/Awl7vMDnj18gNjYWOLi4gCoU6cOP//8c4l18jUFRX3vpxSJfjpmzBjGjBlTnmFUGuVR718JPFSaUBaRxcAjwNVlNZZ3lG8S8DzQGX32f65SqmEp1WYCg4DbgJbAtcCaUsqfXdiDQQrtG/nX00F4JBv2fFm8vMsP/IMhpZCV67/+BYGBMG8eLFrkXd7phIyM4nv+BoPBUN3ExelkqBLKI/SdaAc8ZXEccJSj3IPAdBF5T0Q2isi9wAHgzpIKK6UGApcCg0VknojsEpHfRSSuHPc6O7D6oR31FDK4a6KtRNn1WXGDPoDwaMhMgtw845PwcLjvPv3+iSeKB97JP7tvAvIYDAbDeUt5hH488G+llM94gXnXxqFX7T7JU9PHAEV1JD+jbQZK4mpgOfCgUmpvngHhG0qpwHL0/exAKXDULvDFD0UM+kpw4uB0QVAoJBda7Y8dqy1ft26F99/3Lm+x6EA9Bw96e/AzGAwGw3lDeYT+A0AbYLdS6hOl1CNKqdvy0iNKqY+BXXllHiyjrTDAit6TL8xBwNeGTlPgIqAj8A/gHrSqf3o5+n72YA/0VvHnG/QBbJ9Wcp2wKMg6XrDadzrhuef0+9deg337vMu7XPrc/smTFdp1g8FgMJwdKB8O9rwLKRUF/Au4AmgC5FuDCVrg/w94WUT2l9FONLAPbRS4qFD+E8BIEWlZQp2fgYuBuiJyIi9vIPBTXt7BIuVvQ+/9ExkZGTNz5swyx1cWKSkpBAZWgWLBnUXBowV7bhI9Dt+AIoffw6aRYYsuXicnC9yAtWBnpc1zzxGxcCGHe/VifSH3kgX3cWvDmUJGfVU2xmriXB8fnPtjNOOr+YSEhHDBBRf4vJ6bm1vjzq1XJNUxvm3btnGiSKyVvn37JohIbEnly2O9j4gcQAfa+adSygXkuyI6LiKnEsf1CJALRBbJjwR8+V48AOzLF/h5bMx7bUgRrYGITAWmAsTGxkqfCgjZGBcXR0W0UyaZxyDzKNgCCvJW/h32fEn34N+gw9PF6+Rkw471ENoEbP4679VX4ZJLCF+yhD4HDkD//t510tO10K9f3yP4q2yM1cS5Pj4498doxlfz2bhxo5f1elGKWrcD8Esf/do/rtL6VVWUOL5KxuVy0blz53KXP2WPfCKSISIH8tIpBW4XkSwgARhQ5NIAfNsDLAGii+zht8h73X0q96/x2ALQy/ZCNM07AblnJmSXoJa32aFOXThRSMkSFQX/93/6/eOPayFfGD8/SEsz1vwGg6H6cWdB0mpI/atCmiuPtuR0I+6NHj2aWbNmnU63zpiK0gKVJ8re0FNtVCkVpZQq2UMBvAaMVkqNVUq1VkpNQp+9n5JX9+M8O4F8PgeOAtOUUm2VUr3QR/5micihU+1bjcbqBIvDOwhPrXYQ1kOf49/tY6siNAJUJmQWOhN6883QujXs2QNvvlm8TkAAHDoEmZnFrxkMBkNVkbYPsk/Aqoeq7JanI/RrSmjcM6U8K/03lVKrlVJ3KKVCSyuolLpYKTUV2AZ0KKmMiHyBNg58DFiNNtIbLCL5q/aGeSm/fArQHwhBW/F/CSwEbi5H388+HKEFAXXyaXabft3xIUgJXzxlgfAoOLm3wDLfbofnn9fv334b8sJDerBYtIr/wAHjm99gMFQPuRmQnmdwvO97OLaqwprO3y655ppraNWqFSNHjkREeOONN4qF2f3555/p0aMHXbp04dprr/U41WncuDGPPPIIXbp0KeY2NyEhgUsuuYSYmBguu+wyDhw4AMB7773HhRdeSMeOHfnHP/5BWloaJ06coFGjRrjzfmtTU1Np0KAB2dnZbN++nUGDBhETE8PFF1/sCeW7c+dOevToQfv27Xnssccq7LmUR+g3B74BngYOKqXW5Fnxv6aUekEpNUUp9bNS6hgQl1d+QN7eeomIyNsi0lhEnCISU9ioT0T6iEifIuU3i8hAEfEXkXoicreIJJ/GeGs+tgBAvI/V1b0UAhpD2l9woGSPUATWBodA+vGCvK5d4YYbdFCLhx7S4SsL43Tqc/vGN7/BYKgOdn1e8FuXmwHLb6/QI8WrVq3i9ddfZ8OGDezYsYMlS5YUC7N75MgRnn32WX755RdWrlxJbGwsr732mqeNOnXqsHLlSoYPH+7Jy87O5t5772XWrFkkJCRw88038+9//xvQEfqWL1/On3/+SevWrfnggw8ICQmhU6dOLFy4EIDZs2dz2WWXYbfbue2223jzzTdJSEjglVde4a677gLg/vvv584772Tt2rVERUVV2DMp05BPRNKAp5VSLwJ/Rx+X64ZWybvQqvdNaJX7FyKyyVdbhnJgsWm3vLkZ2sUugLJC05th7ROw/T2Ivrx4PaUgvB7s2wt+tQos8x97DObPh1Wr4IMP4LbbvOvl++Y3Z/cNBkNVIgJrn6bAjkng+AbYPwfqDamQW3Tt2pX69esD0KlTJ3bt2sVFF3nHM1m2bBkbNmzw+N/PysqiR48enuslhcDdvHkz69atY8AAbZ6Wm5vrEczr1q3jscce4/jx46SkpHDZZZd52vniiy/o27cvM2fO5K677iIlJYWlS5dy7bXXetrOzNtyXbJkiSc64I033sgjjzxSIc+kXNb7oI3wlFLzgf+KSEaZFQynj6OWXtXjKshrOAw2vgxHf4fja6BWCbsn/sEQ6IKUIxAUrvOCguDFF2HUKJg4ES67DBo1KqijlDbsy8rSEfls5f5KGAwGw+mTOA+yjnrn5abC8rsgarteAJ0hzkJBxnyFyRURBgwYwIwZM0psIyAgoFieiNC2bVvi4+O98pOTkxk9ejTfffcdHTt2ZPr06R7f/VdeeSXjx4/n2LFjJCQk0K9fP1JTU6lVqxarV68u8d6qEmKllMeQz6qUelIplYQ+HndSKfW1UqpWhffGoLH6gbJ779/bA6HRCP1+6zu+69aJgoyDkFvoy92/P/z979r//sMPF1/V2+361XjrMxgMVcW6ZyAnpXh+1lGt0axECofZ7d69O0uWLGHbtm2A3m/fsmVLadVp2bIlhw8f9gj97Oxs1q9fD2jBHxUVRXZ2Np999pmnTmBgIBdeeCH3338/f/vb37BarQQHB9OkSROPvYCI8OeffwLQq1cv8v3MFG7nTCnPnv4dwBPAKnQUvf8CVwH/qbBeGLzxuOUtatA3Vk8G9n0PKdtLruvwgzqhcLKI24OnnoLQUFiyBEqa0VoskJxsvPUZDIbK5/h6OJZQ8rWcVFg9ruQjyhXEbbfdxqBBg+jbty/h4eFMnz6dESNG0KFDB3r06OExpvOFw+Fg1qxZPPLII3Ts2JFOnTp5Ivs988wzdOvWjV69etGqVSuvesOGDePTTz/12jL47LPP+OCDD+jYsSNt27blv//9LwCTJk1i8uTJtG/fnn1FvaueAWV65FNKrQZ+F5HbC+XdDrwFBOSdva+RxMbGyooVK864nWpxmuHOhpQden+/MKseht2fa3V/l9d81M2B3VvAvzE4/Qvy//tfuOsurfL/5RftnCePuPXr6dO6tXbT27ixNvI7hzgXHJ+Uxbk+RjO+ms/GjRtp3bq1z+se5zVLb9BHkEs6jQRa29niHuj8UiX1tHKoDuc8JT1zpZRPj3zlWek3Bb4qkvcF2od+o+LFDRWCxQ7WAO8gPADN7wIs8NfXkLbXR10bhEVCShGvyFdeCZdfrlf0DzxQ/Khe/jG+/fuLW/obDAZDRZG0xrfAB8hNh8T5Vdef84jyWEoEAkX1LPnH5ap2SnO+4awNqXu10558AptA/atg77d6b7/jcyXXDaoDyUmQkqSP84HeNpg4EZYvh/h4eO89uP1273pOp17tHzoEdet6+ec3GAyGCmHImuruwXlLed3w1lNKNc1P6NV/sfy8a4aKwuoHFitIkRV5i3v16+4ZkFGKU8KwKMg87L1qr1MHXnlFv584sbjTHtDH+E6c0MlgMBhOgfIEcTNUDKfzrMsr9GcBWwulfEnxXZH8rafcA4NvlAXstbWqqzDBLSHqcnBnwrZ3fdd3BEBoIJwsMjEYMABGjtQueO+9Vx/XK0pgICQmFvfbbzAYDD5wuVwcPXrUCP4qQEQ4evQoLper7MKFKI96f8zpdclQITiCIetI8fyW98GBubDzY2hxt3bfWxLB4ZC8CzLSwFXIqG/CBFi8GDZs0FH5rrzSu57Fos/v79+vz/Wb8/sGg6EM6tevz969ezl8+HCJ1zMyMk5ZSJ1NVPX4XC6Xx/lQeSmPR76PTrtHhjPHYs/z0Jeu1f351OoAEX3gUBxsex/a/Kvk+lY7hNWBxEPgbFSwRx8QAJMmwdChMHkytRo2hLZtveva7dphz4EDXmF4DQaDoSTsdjtNmjTxeT0uLu6UwsCebZwN4zvl0LqGasBR2zvyXj4tH9CvO96HzKPFr+fjVxuCbZBcxMf+hRfCffeBCK1ffFG74y1WNy8Mb6FrRVV3RpVnMBgMZwdG6J8N2Py0Bb872zu/zoUQ2U87s9jyhu/6SkGtOsBJ7ZWvMP/8J3TrhvPYsZKP8YHe3z96FE6eJCEhgfj4eI+gFxHi4+NJSPDhaMNgMBgMNQYj9M8WHHWKe+gDaJ0XhGHnxzoutS9sflAnCNKPebvatdngrbfIDg6GBQvg3RIMA5WCwEBk3z6yT55k7dq1HsEfHx/P2rVryczMNCt+g8FgqOEYoX+2YA/QTneKOrSo1Q7qXQXuLNjkw0NfPv6hEJALqUXcLkRHs/Hhh/X7F1+EklbtFgvK3x//pCSC/fxYu3Yt7733HmvXriUoKAiHw1EpwSEMBoPBUHEYoX+2oCzaQr/E1f5DOvzuni8heVvpbdSuDe4TxY7pHevWTYfdzcnRrnqTkopVF5uNPfv2kbJlC2nJyYgIqampJCYmsmPHDrPSNxgMhhqOEfpnE/YgwF08El5gU2g0XF/bWIavansg1PGD1GPF9+/HjYNOnWDvXrjnnhJd8UY0aEBOWhokJnL0yBFSU1PJzMwkOjr6TEZmMBgMhirACP2zCYsN7LVKXu23/CdYXLD/B0j6s/R2/GpDiBtSinjcczhg6lQdjS8uTp/fL0JiYiI5TifXzpjBjVOmePL3799frKzBYDAYahZG6J9tOGqBlHB8zy8Kmo7W79c/V1wbUBiLDYJDwJZe3ONevXrwzjvaOc+kSfDTT16XRQSlFKIUFrcbZ1qa/mxU+waDwVDjMUL/bMPq1Gr+oq55QXvms9eCI0vgwE/FrxfGFgC1XZB5srga/6KLYPx4/f6++2BbgZ2AR42fJ/gDUlOxZ2Scslcog8FgMFQ91SL0lVJ3KaV2KqUylFIJSqmLSynbRyklJaRWVdnnGoUztOTVviNUG/UBrHu65G0Ar3aCoTbF1fwAd9wBQ4ZASgqMHatfgQMHDmCz2bBYLNicTmzBwdRKTydx584zG5PBYDAYKp0qF/pKqWHAJOB5oDOwFJirlGpYRtW2QFShdP4G97G6wBpQslBvfCMEtYS03bD9/dLbsdggMBj8coob9SkFr70GLVrA1q1w110otxubzYbD4cBqtQLgHxSExd+fwKQkVEmBewwGg8FQY6iOlf6DwHQReU9ENorIvcAB4M4y6h0SkcRCqbhp+fmEK0yfzS+KxQbtn9TvN0+C9MTS27H6QYgdcBePthcYCB9+CLVqwfz5yNNPc/jwYU6cOIHVaiUyIoLAwECOp6Rw6Phx3Lt3lxyxz2AwGAw1gioV+kopBxAD/Fzk0s9AzzKqr1BKHVBKzVdK9a2UDp5NWF16Xz43s/i1iN5Q9zLITYMNL5bdliMYrArSk4uv+Js0gfffB7sd9f77dFy3DrvdTlZ2NgcPHeLQoUPY7XaCw8JQNps+7pedXfJ9DAaDwVCtVPVKPwywAgeL5B8E6vqok68F+AcwFNgMzC/NDuC8wRkG7hKEPkD7J8DigL++gqRVpbejrNpav5aC5JPFr/fooT31AR2//JL+/v6o7GwsKSlYjx6lW7duXHnllSiXS58a2LdPO/kxGAwGQ41CVeVRK6VUNLAPuEREFhXKfwIYKSIty9nOHCBHRK4s4dptwG0AkZGRMTNnzjzjfqekpBAYGHjG7VQKHhV/cRe4TZI/oFHqF5y0t2Rl6OtauPsgJTWDwAAH5AiI0pOAIjR97z0afvUV2QEBrLr7btIiIhClyAoPx1m30JzN7dY2AQ7HGQ6u4qjRf8MK4lwfoxnf2c+5PsaaMr6+ffsmiEhsSdeqWug7gDRghIh8VSh/MtBORC4pZzsTgOEi0rq0crGxsbJixYoz6TKgYyT36dPnjNupFHLSIHUP2IOLX8tOgfmXQEYitH8amt3is5m4Zevp060NZB2Ho0rv9TudXmUkJ4cTV19NrVXemoMcm421771HpwEDCvzvp6frYD7164PV92SjqqjRf8MK4lwfoxnf2c+5PsaaMj6llE+hX6XqfRHJAhKAAUUuDUBb8ZeXTmi1v8Hm73tv3x4IHZ/X7ze8WHoUPtCrc3sghCrISi+uordaWX/JJbiLBNbJtVpJ2bDBu6yfn66/b1+J7nwNBoPBUPVUh/X+a8BopdRYpVRrpdQkIBqYAqCU+lgp9XF+YaXUA0qpq5VSzZVSbZVSLwBXA29VQ99rJq5wEB9W81GXQfRgbdT35/jSPfUBWOxgc0CoVZ/NL1ReKUXtCy/UK/hC2N1u6nTqVDzKnp+ftubfv98IfoPBYKgBVLnQF5EvgAeAx4DVwEXAYBHZnVekYV7KxwG8DKwBfssrP0REvqmiLtd8rC6t3s8pwUsfQPtnwBYEB3+B/bPLbs/mp596qB2Sk70utenTB/Xyy1orkIdq25Y2vXuX3Ja/P2RmGsFvMBgMNYBq8cgnIm+LSGMRcYpITGGjPhHpIyJ9Cn1+SUSai4ifiISKyMUiMqc6+l2jcdQBckpeyfvVhbZ5bnXXPK737cvCFqid9gTYIDXV65K69lro3BmaNYPAQNTq1dptry8tQr7g37vXWPUbDAZDNWJ8758rWB1grw1uH6v9xjdA6IWQeVgH5CkLpbTgD8wGq0BGgfc/EdGW+eHhMG0a4nTCJ5/AM8+ULvizs43gNxgMhmrECP1zCWcoiFunoigLdHpJn93f/Tkkzi+7PWUFmwtCLZCbDVlZrFmzhhUrVpAv2qVHD7Y+/DBumw3efbfEcLwe/P21in/PHuPAx2AwGKoBI/TPJSw27bAnN63k68EtoPXD+v2q/4PMY2W3aXVqd0phdiQ9ncy0NDZt2kRySgoCrFixgt8DA9nx4IOIxQL/+Q9Mnuy7PT8/rQ346y/jstdgMBiqGCP0zzXsIXqF7vahQr/gdqjTTav5V/+rbGt+AKs/WLJQEX64cnMJ9PcnLTWVg4cOsWnTJgIDA0nt0wf1+ut6W+D552HqVN/t+fnpcrt3e20bGAwGg6FyMUL/XMNiBWeE79W+skKXSXq//sBc7aa3PNiCEGs6mYEWso4dIzc3F0RIS0sjNTWVrKwsZOhQmDhRl3/qKXjnHd/tOZ3aLmD3bkjz0VeDwWAwVChG6J+L2APzHPb4WEUHNIAOz+j3ax7XHv3KQimUPYgu3VvjjKyNuN3k5OSQmZlJQEAAMTEx+pz+yJGQf6Tv2WfhjTdK6addr/r37IGTJfj8NxgMBkOFYoT+uYhS4IrQfvl9qe8bXAtRgyEnBVbejypHpGJBkbBmE+kqiR9uGc3isWNxOp2kpKSQkJCAx6Xz9dfDa6/pfkycqN/76ofNpkP47tsHx46Vb7vBYDAYDKeFEfrnKlZn6UZ9SkGniXor4OgfNE75qMwmlVJs2bqdEynpBEc7yPZzEGKzkZyczJYtW7w98l13nV7lWyzaov+FF3wLdIsFgoPh0CE4eLB4eF+DwWAwVAhG6J/LOGrro3q+jPqcoRA7GbDQKHUmJP5SanO57lyysrJITc8mOyeX62+9hkzc5Jw8SVZWlt7nL8zQofDWW3o1P3kyPPyw7zP6SmnBf/KkCc1rMBgMlYQR+ucyZRn1AYT3hDb/0u8T7oe0vT6LWi1WunTpQmhoKEkn03l36tuctJ4kJLwOsW3aYC0pmt5VV8GHH4LLBTNmwO23l26xHxioj/Lt2aO9+BkMBoOhwjBC/1zHHqj97vvyyw/Q/G6OOrtC9nFYfkfJEfvy6NihIzfeeCNKKXLEgdXmZuS9N9G+cyffVviXXgozZ0JICPz4I9xwQ+mGe35+WuW/a1cx3/8Gg8FgOH2M0D/XUQr8IkC5wZexnrKwMeRf4FcfklbBumd8Nvfnmj/55JNPPEZ72W4HMz+fzuq967Ua35fgv/BC+PpriIyE+Hit+t9XSqhfh0N78Nu3D44cMQZ+BoPBUAEYoX8+YLGDMxJyUn0WybEEQ9cpoOywcxrs/qJYmVx3LitXriQpKYng4GDuvvtugoODOZSUyvq1f5BbC7BafQv+1q3hu++gaVPYuBGuuALWrvXdb6sVgoLg6FEdpc/s8xsMBsMZYYT++YI9qGw1f+3O0DEvGM/qR+DIMq/LVouViIgIateqjd1uZ8aMGdjtdmrXqk2t8AZYVSaEOUoX/A0bwv/+B927a0v9oUPh559990kpLfjT040HP4PBYDhDjNA/XyiPmh+g8UhoNhYkG/4YC6m7vS43aNCAtm3beuW1bduWBg0a6ImFOwXCnaWr+mvXhs8/h3/8Q5e55RZ4773SVfj+/rrNXbsgKcmo+w0Gg+E0MEL/fKIcan4A2j0Bkf0gKwmWjYJsbXQnImRmZLJq9SpSU3UbqamprFq9isyMTL3Pbw+C3JN6xe9wQEpKyfdwOmHSJPi//9Pn8p98Ev75z9JX8na7tu4/eBAOHNAR+wwGg8FQbozQP9+wB4EjpPRjfMoKsW9DUAtI3grL7yw461/I/44UXm0XysceDLnJUMcKAf6+Bb9S8OCD8Pbb+kjfV1/p1f/+/b77lu/IJy1Nr/rTS9muMBgMBoMXRuifbyilz+5j0W56fWEPgu4fgSMUDsXB6n+hgMOHDxMREYG/vz9KKfz9/YmIiODw4cPeHvnsQZCbCiECwYH66J0vlfxVV8F//wv168Pq1TB4MCxfXvo48tX9u3dr637jxc9gMBjKxAj98xGLFfyjdUAeKUVYBjSE7tPA6gd7vkDWP0t4WDiJiYn0c7xDf9e7pKWlkZiYSHhYuPfKH3QkP8mEwGwIraUFvy/h3K4dzJ0LPXvC4cNwzTXw7rul793b7drI79gx+Osv48zHYDAYysAI/fMVqwtckTrgTmmExkLX90DZUNumYNnxLpmZmVoYi+h9/sxMNm3e5OM+/iA54JcOkWFa1e/r6F1oqPbad9ttuszTT2sjv+PHffdPKb3Pn5trjPwMBoOhDKpF6Cul7lJK7VRKZSilEpRSF5ez3kVKqRyl1LrK7uN5gaOWPsaXW8a+eGRf6PI6ADHOubQOWFPgnCc7GxHB7XYj+BC2Vj+tUbAdh+hwvQ+f5WNrwWaDCRPggw/03v1PP8GgQVrtXxouFwQE6KA9f/3lu32DwWA4j6lyoa+UGgZMAp4HOgNLgblKqYZl1KsNfAzMr/ROni8oBX6RaCu8MlbHDf4O7bWnvgF1fsbfkkwttQ+n+yi1Qmpxww03YFGlfJ2sLlA24ChE19Er89KM8AYN0i57O3TQQvzqq3XQntIs9i0Wre7PyTGrfoPBYCiB6ljpPwhMF5H3RGSjiNwLHADuLKPeB8BHQHxld/C8wmID/3qAlH5+H5CmY9gXNAyLEmrbj+O0ZHFJnYVYrBZWrlxZfE+/2L0cetXvPgJRwaUf6QNo1Eh78Lv5ZsjOhuefh2HDSnffC3rV7++vV/3GoY/BYDB4qFKhr5RyADFAURdsPwM9S6l3FxAJPFt5vTuPsTq1+92c1FJXxkopVmf0IyG5J0ppRUEzv234ZW7n0KFD3tb7PhuxagO/7KMQaoPgIB18x5eBn9MJzzwDH38MYWHab3///travzTyV/0iWvDn5Jhz/QaD4bxHlbk6q8ibKRUN7AMuEZFFhfKfAEaKSMsS6rQHfgG6i8hOpdSTwDUi0s7HPW4DbgOIjIyMmTlz5hn3OyUlhcDAwDNupyaTkpJCYIAfuLO1YPbB0aNHsUsyHeQrGufOQ1Css93AFnU5deqEneJd3YACsUB2jhbUpUwc7ElJtHztNcJ+/x2AQxdfzNZ77iG7du2yx5eeTqDTqS3+Leem/eq5/j014zv7OdfHWFPG17dv3wQRiS3pmq2qO3MqKKWcwBfAQyKyszx1RGQqMBUgNjZW+vTpc8b9iIuLoyLaqcnExcXR55JLICMRslPAFlBiuc8+/5QBjucJtp0AQCG0y/4Ee84OWg358tRvnJsOCKhQOJi3B+/v77t8r17w6afw9NNE/PYbEevWwXPPwZVXljphiFu/nj4tW2qnPgEBEBGhtQjnEOf699SM7+znXB/j2TC+ql7yHAFy0ar6wkQCiSWUjwJaA9PyrPZzgCeAtnmfB1Zqb883lNLH+KyOEgPziAhNA/fisqQVq9bKvgTZ+J9TN5yz+umthdxDep/f5SrdkY9ScOON8OuvegKQlAR33aWP+SWW9BUqhM2mTwRkZ2tDvyNHjMrfYDCcV1Sp0BeRLCABGFDk0gC0FX9R9gHtgU6F0hRgW977kuoYzgRlAb96WgWeW9wArp3tFxyW7GL5AqjNr8Cax8s0CCyGxZ63z38MagF1amvBn138Ph4aNIAvvoCJE/XKfc4c6NMHpk0rW5C7XPpsf1IS7NgBJ04Yj34Gg+G8oDo2N18DRiulxiqlWiulJgHRaGGOUupjpdTHACKSLSLrCifgEJCZ97kMzzKG08JiA//6gEBuIS93Jzfjn7W9xCqeQ387p8Hyu7zrlQdlyYvSlwHOZKgfoYW3r0h9oFf9N9wACxbAgAF6ovDYY1rVv64MVw5K6cmCy6U1BLt2QWrphoy+KGoXU5V2MgaDwXAqVLnQF5EvgAeAx4DVwEXAYBHJj+HaMC8ZqhOLPU/w52jjPkBtnYzChzc9QCm7Ppa3fzYsGQYZh0/9vjZ/fZ4/9xBEBkBggLbuL231Xq+eXuG//z7Urasd+Vx+Ofz733o1XxpWq7byt1q1P4A9e04piE9CQgLx8fEeQS8ixMfHk5CQUO42DAaDoaqoFjNmEXlbRBqLiFNEYgpb8otIHxHpU0rdJ31Z7hsqGKsT/Bvo1bc7BzmxAQulqMElG/wbgl8UHFsOCwfD8dNwnmix53kKPAmBGVC3jj5rX5owVkoL+oULtetepWD6dLjoIvjoo7JV/na73u93u7Xg37u3zPP9+S6I161b5xH88fHxrFu3jszMTLPiNxgMNY4abb1vqAFYXVqQp/0Ffebyvzk/cuDAAUbU/4agoEBW+D3KypUriYqK4oq/XaHP6mccgt9vgaSV8NvVEPMGRA8+tfsqpU8Q5GaCOgpRteF4tl71BwTolXlJBAZqn/3XXw9PPAFLlsD48cQ2baqt/Hv3Lv2+TqdOGRn6fH9gINSpo7cBinVR0aNHDwDWrVvHurwthXbt2tGjR4/y+S0wGAyGKuTcPLBsqFhsfuDfACVZNG5Uny6duxB0+Y+oi78mNiaWLp270Lhx4wIh54qAi76CBtfoI3l/3AobXjp1Az/Q2gZbEOQeh1o5Bav+0vb6AVq10oZ+U6dC/foE7tgBI0bAyJGwfn3Z93W5tNo/M1ML/337Slz5Fxb8+RiBbzAYaipG6BvKh80PAhqi3Fng9g5mU6Ia2+rSQXraPg5YYMukvH3+g6d+b6W0kR/krfoDwd+lV/2lWfgrBUOGQFwc22+5RQvxuDi47DJ44AGtwi+LosJ/716vbYZ8lX5hCu/xGwwGQ03CCH1DuRGLk81/pbF2zUoSlmvBtmLFClatXsWuXbuKCzqloPkd0GsGOMPhSDwsuAwO/3Z6HbA49KrfnQJBmTpwT06O9t9fmpD18+OvYcNg6VIYO1af1//qK73fP24cHDhQ9r3zhX92thb+u3cjKSnEL13KunXraNeuHbfeeivt2rXz2uM3GAyGmoQR+oZTIrpBU5Jza/PnnyuZ8dk0Vq5aCUBUVJTvSuEXQd+fIawnZB6GJSNgw8RiGoNykb/Xr+wgRyHCBqFBWvCXZXUfGgpPPaWN/YYO1ROGjz/WTn6eeEIH6CkLp1Mb/Img9u0j6MgROjRpQo9u3Tyq/nbt2uF0Oo2K32Aw1DiM0DeUm3yhdmH3izic6sexpBPkZiXTpUsXYmNiSxdyrgjoNRNaPqg/b3kDFl4BJzefXmcsNrAHA7lgPwHRgeC067P6WWVMJho1gjffhPnztfo/MxM++AC6d4fx48un9nc4ICiI9p07E1uvHmrHDjh6FJWTQ9euXYmJiTm9cRkMBkMlYoS+4ZQREdxYSc4NIdttx+Iuw6guH2WF1v8HF83SRwFPrIO4y2HrlNMz8gNtO2ALAkmDkEyoGwTi1sK/rGN6LVtqQ7+fftLH/TIz9fG+Xr3gn/+EbdvKvP3nX37JJ99+S67DAUlJ5G7dyicTJzLt7bdPy9GPwWAwVCZG6BvKjYiwdOlSfv/9d1wuF3XCIsh1hPPHqs2s+mMh4i6n4A7rDn1/gUbXgzsT1j8Dvw2Fk5tOr2P5Kn+LH6gUqOOGsEAtxFNSynax266dduzz669a7e92w5dfwiWXwE03aVuAEgR4bm4umZmZJCUlcahPH+SGG/j42285efgw9gMHyN2+Xbv4zfHt0MhgMBiqEiP0DafEvn37AOjevTu33nor3bv3JF2C2XUwA3JSPN77ysQeCJ1fhu4fgTMCjq3QRn4bXsyLvHcaKIv24W9xgC0FIhTU9tPH+9zuslfeLVtqtf9vv2n3vi6X3gK49lqtCfj6az2RyMNqtXLTTTdRu3ZtcnJy2LtvH0lJSQSHhzPittuwOhxw8CBs3w7792ubA7P6NxgM1YgR+oZyo5SiWbNmdO/e3XMWvUePHnTv3p1GzTuiAhtrr3wlROjzSd3+cGkcNLlJq/i3vAnzL4WDC06/oxabPuJnsYEzDSKtYFV61V8e//qNG+tAPn/8Af/3f9o5z9q1cN990LUrvPSSFuLA+vXradOmjVf1Nm3asH79en1KIDBQp4wM7elvxw44dqxsuwODwWCoBIzQN5wSMTExXs5n8gV/TExM3ln+xjo0b3Yp4XGL4giBji9A7+8guDWk7Yb4GyD+Jkgue1/dJ/nufK02sAhEWiDQBinJWviXpfavUwcefBB+/10L+tatdTjeSZOge3dk7FgcS5cSX0j9n39uPz09veDInlIFR/4cDjh6FHbu1JOAkyeN+t9gMFQZRugbTpmiVvpen/Mj9DnrQE5y+dX9AKGx0GeuduhjC4SD8+HXS2HNE5BVRuCc0rDYAQvYnOCfrdX+gVZIS9Gr/7IM/vz8tCe/efPgm2/giisAUHPn0uqZZxgzdSohJ04QkJVFUHo6ubm5bNiwAXdJkwqrVbsRDgrSk47ERK3+37u3fH0xGAyGM8AIfUPFoxS4wiCgkVbZ55bTuh+0gG5+B/RfDI1H6vo7PoB5vWDzG5CTevr9sti0LYHDHwJyIAIIsUB6srb2L2vFrRR06wZTpmjV/7/+RUrt2oScPElwSgq1Dx1i7JQpDPntN/yVwuorPkA+DodW/ec7/dm/v2D/30wADAZDJWCEvqHysPlpwW8LguyT4D4FNbYrHDq9BH1/grBekH0CNk6EeT1h23uQW3oEvFJRVq1JsAeBH3rlH+KGzGStbi8juh6gQ/jefz8B8+aRa9NxqxRgEaHV8uVc9/zzemtg0aLyCW+nU08AAgK0seC+fd4aALMFYDAYKgAj9A2Vi8UKfpEQ0CDPyK8chnSFCWkLvb6AnjOgdmfIPALrntQr/23vQc4paBGKohTY/LVNQYATIqwQmgMqDU4eK7D694GIsPGXX8gtsqJ3K4VKTdUBf0aMgJgYeOwxWL68bDsCpfQEIChITwAKawB279ZHADMzzSkAg8FwWpjQuoaqwRagjfwyj0HWUe1Ux+IoX12lIKI3hF8MifNg40twcqMW/lsmQdNboOkYcNQ6/f5ZXXmOfnLBlQFZmZCRBqlpgAOcLq2O9+qWYlNqKi2KrOTdViu/3HorA51O+O472LULpk3TqW5dGDxYp65dfYcIzh93fqhf0BOAQ4f0xMFuL5gYOJ2lt1PFiIiXnUfRzwaDofowK31D1WGxgl84BDbWn7OTT80Tn1IQNVD78e82Ta/8s5Jg0yvw04Xw57/PzNof8lT/AeAfCiFBEGmHWpmQcwxOHPFy9uN2u0n282PegAGIUojVSo7dzrwBAzjQoAHu//s/WLwY5syB226D6GhtuPfhh3DNNdClCzz0EPz8c9lxA0AL+nwjQIdDb0Xs3au1AH/9pbcRqlkLkJCQ4BVsKP80Q0JCQrX1yWAwFGBW+oaqx+rSe/3ZyZB5SAspq78W6uVBWbTwrzsAjiyFLW/B4UWwc7pOEX2h2S0QcYkue9r9dOpkd4NfJmSlQ9oJSDkB4kTZ/KgVEsKW9u3psHo19pwcvr3mGjKCgmhcq5Ze3SoFHTvq9MQTsHq1ngTMmaM1ADNm6ORywcUXQ79+OtWvX3rfLBZ9qiCfrCy97797t75nvn8Ap1NPFqpgpS0iZGZmsm7dOgB69OhBfHy8JwqhWfEbDNWPEfqG6kEpcATrVXVWEmQdAyxg9TsF4a8gvJdOJzbCjg/hr2/g0AKd/BtAo+HQcNgZ9tWijRJtfuCXCyEZkJEKqUdpVMtG0l+5uBVkOp2k+PkR4HQSHR1dcn87d9Zp/HjYuFEfA/z5Zz0ZmDdPJ4AWLaBvX+0KuGtXbwFfEg6HnggEBupJVHq6PpEAOj8goNInAfk+GwDWrVvnEf7t2rXz8u1gMBiqDyP0DdWLxaqP9zlCIDMJspMAm9YGnIqQCGmt3fq2GQe7P4Odn0LaX7DxZdj4Ku2cXWHfzVD3Ut326aKsYA8AewAqMBdVbw/u3dlY6uRChhv/7BTItGCzWksXckpBmzY63X+/VvvPnw8LFmg3wFu26PTuu1pQx8ZC7946GFD79trbX2ltuwqN0e0umASI6EmAv3/BJCB/wlAB5Av+fIEPGIFvMNQgqkXoK6XuAh4GooD1wAMi8puPspcALwAtAX9gN/C+iLxSRd01VAUWO/hFaGO8rCTIPg5YT23lD+AMhRb3QvO74fBvsOszOPATYZnLYPkysAVDvb9Bg6FQp9sZqf9zBRb9voqsXBtusaECQNUGe9YR1i7+Lx0aRWL1CwJXYNlCtW5d7QBo5Eitql+xAuLi9JG/detgyRKdQAvrrl2hZ0/tN6B9e71694XF4j0JENH3OHhQv1dKC/6AAD0ZsNtPWxuQv4dfmPj4eCP4DYYaQpULfaXUMGAScBewOO91rlKqjYjsKaFKCvAGsBZIA3oB7yql0kTk7SrqtqGqsDr0ET9Hbcg6nif8VZ7wPwUBrSx6Tz/iEsg8wrbFb3OBZSmcWAu7P9fJFQlRgyB6iJ4AWE793yEn7/z8l8OGY7FYtBc+O9jJhTpWSD8MSXtB+YMjbwJgc5beqMOhBXrPnnob4NgxbRC4eLGO+Ldzp44I+OuvurzLBV260LhJE30qoFMnqFWrlGdT5FSAHog2DExKKijjchWcDijHRCBf4K9du5b27dt79vTXrl0LmBW/wVATqI6V/oPAdBF5L+/zvUqpQcCdwLiihUUkAShs+rtTKTUUuBgwQv9cxerQK39nqHbsk3UM3Ll5R/1KWdWWhDOMvQH/4ILuT8DJLbD3G9j7nVb/7/xIJ0cdHfyn7gB9PNAWUK6mXS4XaWlpXBf1BQBfHtD2A3b/IAgOh1p1tVOi9GRIOwnJhyDHrdt3hoAzQI+1NEJD4cordQJ9bn/ZMoiP13EBtm+HpUtpvHQpfPaZLtO8uT4dkG9D0LJl6doAm817y0BEHxE8dqzAt0D+RMDPT7/mTwTytBhKKRITEwkKCqJ79+4opejevTu7du0iMTHxvBT45vhi6ZjnUfVUqdBXSjmAGKCoav5noGc52+icV/bJCu2coWZisWnB76gF2an6jH92MqjT2PcHCG4BbR6F1o/AiXWwfzbsmw2pu2DPFzpZHBDWEyL7ak1B4AUl3sdqsRIUFERaWhoWcqnjOEaQNZnk3CCCgoKwWqwFYwiorVM4+hRAegqkHINjewGlPQS6QsDpD8peulYjOhqGDtUJdACf5cv5a84cGuzapSMCbt2q0xd6MoLLpe0HOnbU2wHt2mljQV8TgXyVf2HfBCJaI3DihJ4M5G8N2Gzg54e4XETXqsW6TZtYtnQpPXr1YtmyZaSkpNC4cePz7gc+ISGBjIwMevbsiVIKEWHp0qW4XC4doOo8IyEhgdTUVM/3IF8z5HQ6z8vnUV0oqcIzvUqpaGAfcImILCqU/wQwUkRallJ3L/on0wY8JSJP+yh3G3AbQGRkZMzMmTPPuN8pKSkEBgaecTs1mbNrjKLP90suCHkCuXRhkpKaQWCADwM+EQJydlEncxl1Mn8nOHsjioL/i0xLGMecMSQ5OnHc0ZEsa5jn2tGjR8nJySHMcRircpPpdnE8OwSbzUadOnXKORy3Xk27c8CdH5nPoo0GLZa8sZUtLFMyMgh0uVBZWQRu307Ixo0Ebd5M0ObN+OeFAi6M224ntVEjUpo1I7VJE1KaNCG1aVOyQ0LK12+vMYjHP0BaaiqZmZlI3pFFp58fAYGB+u90BkL/7PqOQlJSEllZWQQGBhIQEEBqaiopKSk4HA5q165drPzZNr5TJTU1laysLBwOh+d5pKen4+fnR0BA+TRrNZ2a8jfs27dvgojElnTtbBL6TYBAoDswEbhfRD4p7X6xsbGyYsWKM+53XFwcffr0OeN2ajJn5RjduZCbrlX/uemARa/SS1D/xy1bT5/ubcvXbuZROPgrHFqkz/9nHvG+HtAYwnrgDu3KZ3M3cTTdwX2N38KihGy3jZn7h3NCNeCuu+7CcqqGguLWDnbSUyD5BGSlAXnC0h6g7QJsflp7UEQjELd+PX3a+hjj8eOwZo3WAqxdq40Dd+4suWxEhNYCtGypU/PmcMEFepuhDD7//HMyMzMZ8u67WHNyWHDjjaQ7nTgdDq679lpdyGrVdgKuPC+HdrvWFlitpXoWPJu+o/mr2GXLlgF4hBxA9+7dS7RvOJvGdzqICHPmzGHfvn2evHPtOOep/A2/+eYb0tPTGTFihMceaMaMGfj5+TE0X4t3miilfAr9qt7TPwLkApFF8iOBxNIqikj+L9RapVQkWr1fqtA3nONYrGAJ1JHz3NnaD39WUp763/cEoEycdaDhtTqJW7v8PbRIOwI6+ofeCkjdhWX3DG6sC5luu0czYFU5DAj7iZkHR+F2u7FYT1HoKwu4/HSqHa7vn5WlJwKpJyHtsNYIiOjx213gCNCGjrjBnaW3PopONmrV0kf+evcuyEtO1r4CNmwoSJs3a1e/hw5pw8HC1KmjJwDNmkHTpgWpYUNwOMjNzeXYsWM0XbWKsL17AbjqtdeY178/Ozp3JtffX0cedLu198CTJ72DEYlooW+3lzwhOIso7LMgLi6OjLwgTn369DmnhNypoJQqtqLPt/0433C73ezatYuUlBRmzJjBiBEjmDFjBtu3bycwMFD/dlTQMdqiVKnQF5EspVQCMAD4qtClAcDXp9CUBSjDBNpwXmGx67P+jpCCCUD2CchJyVM7S8Ee9KmgLDroT0hbaH6nFrgn1sGRZXBsOen7FuNnSSnohoK6rsPc2mAqtlXbIKRdQX1nOdX9Re/vdOkUnKd2z8mG7BzISIe0FEg9Du7DkJMJx7aAzQoOP+1N0OIC5dBbBcqW95r3DIKC9NG/rl0L7ud2a9e+mzcXpG3bdDp6VKe81WvBoC1Qrx6WRo249PhxWmzYgCVPg2jJyWHAL7/w8QUXeJe3WEq2JxDRE4HUVD0pyc0t6G9mpu6H3V5gb+BwFGgI8lMNEiLuIgGWin4+n1ixYgXHjh3z2tOfOXMmLVq0IDa2xEXpOU1kZCQpKSls376dF154gdy8CXBkZNE1ccVSHdb7rwGfKKX+AJYAdwDRwBQApdTHACJyU97ne4GdwOa8+r2BhzCW+wZfeE0AcvLC8O6B3LQCwX+6WgCLDWp3gtqdyHXfyqKtj9HX/3McFu/QtwGWk/qEwN7vCjJddSG4JQS1hOBW2qgw8AId4vdUsNl18vOD2qF5BnbZcHgz1InWoYEz0vK2PHK1tiDfOt+aty1gsetn4JkQ5CWLVa/cGzaEAQMK7imiTw1s2wY7dui0fbt+3bcP/voL9ddftC6puzk5DP3sMyxbtkCDBlCvnk7R0fo1PLzAj0G+YWBJzofyXQ/n5uox5kdBLLpFmT+hcDh0O4UnBhZLwWslraRAq7K//PJLdu7cidPpJCgoiOTkZBYvXsy+ffu47rrrzqsVrtvtZsuWLVgsFoKCghg+fDgzZ85k165dAHTp0qXSVrY1EYvFwogRI/j888/Zvn275+hvs2bNPOr+yqLKhb6IfKGUqgM8hnbOsw4YLCK784o0LFLFit7DbwzkANuBR8mbJBgMpWKx6S0Aix2CLgB3JuSkQ06y1gIAoPR1dWoOaawWK7FBS3FI8Vj3Odiw1b8S7MFaM3BiA2Qk6nRooXdhV10IbKb7F9BEByQKaAIBDcsXiVApsOd51atdaN89N0cfu8vO1qvkjAzIyAJJB0kB3Fo1YbUWCFll0RoBz/Ow5/kvsEBUBERHadfAhcnMhL/+InfHDlZMm0bsb79hLSSIFVA7KUm7Gy4Jux0iI7WDoqgo/Vq3rs7LTxER3qcFSvNI6M4zjMzIKHhfku1S/gQg/+ihZ2Jk9Z4Y5KdT+G6ICMeOHSM7O5uGDRt6hNz27du9VrvnCxaLhRYtWrBnzx6OHDnC+++/D0CjRo1o0aLFeSXw81m5ciXHjx/3yjt+/DgrV66sVM1HtXjky3OqU+JKXUT6FPn8OvB6pXfKcO6jVEEIXWdtvQLOzdSagJwUyE0tECwewed7L9l9YiMhnrmqNzZykMR5qMuW65W8uCF1NyRvgZObIXmzfk3ZWTAZOLKkSCsW8IsC/4YQ0EC/+tcHv3p5r1GlayuseSt7lx/kKxNE9GQgJ6fQZCBTv3e786IeZgECVpU3KbDovqh8wan0ZMBjOGmFxnWRBhGs2LyWY/4uBv3+M9wLOe9YWNi+D0fq1+fa7t2xHjigNQP79+vXffv08b+9e3UqhYudTj0BCA/XKSys4LVOHe/XkBBv50MlIaLHnJOj7SbyP/sybs6fJBSdHOS/LzQ5sFgsRNSpQ252NikpKR4hV7t2bSIiIs5LIbd69WqCg4O98o4dO8bq1avPO/V+bm4ucXFxpKamMmraNJRSTB89mqNHjxIXF0fnzp21/UslYHzvG85fCgfSyZ8EuLO1MVxOGuSkgqTlHQu0FOyL53nus2x9G22X6qN5dzZsngTtHtP1A5voFHVZQSHJhbR9kLJNhwVO3aUnAqk7dX56XjoaX9IdwBUBrijwq8sFJ52wpTX8f3tnH2dXVd777++cMy8ZkjgzyWRCEjAIVkCgmMEqqeFFb6iKtJTaikBL/FQBpWhvLXoRey/2coWipVC5CKK3sSClSClvvhQwBpAASlSSgAkgBELIy+RlJplkZs7bun+svWf27Jwzb5k5Z845z/fz2Z+991pr7/2svc7Zz1rPetZaDXP8bION7T6+vmXQsU8a7B6IVgZgsDKQy0Mm7SsC0QoBDPpHJNO+QqB+72Ejh3J5GrWLN0+cR/YPRKrN8eaX5/HqloU4J1jaEUyulATCLoWEtz5s74QtW2HrNti23U8RvG2bX5Nguz9P9vbC66/7bcSylXdebG31W0uLP29pGTxubvaVg5YWv58502/FFHJYKYhaEcKhirGKgnOO9Pr1JLu6+Mg995BMJnngvPPIZzLs6+nBbd2KwgpDWJkI10gIhzaG1oXoeYWSy+Xo6+vjkEMOobOzk7a2Njo7O8lms8yaNYtcLjdpSm6qEjp3SqKuvp5kMjnwniYTU/qGEaJEZDndQBvmc+AykEv7PvJcb9At4HDd60gwjGNWvg86f1Y8HrziO+Rwv7W/P3Z92iv+/Ztg/+uwbxP0vhGpDGyFvm1+64IFAC/cX+AhCe9E2DAbGtr8cX3r4L6+ZejW0AxNzTFZcr4vPZvzx+mgUpBOe6fCvIM8qA8SypJs83pqfusWWnfuZEffbF+hIusXLRhwrAQQtAvmzIXfPdSHOYLKVdLHJ1I88dwrLGluhM5dsGM37AgcC3fs8taCHTsH993dfkrh3bu978FokbyDY1gBmDnTn4dh4fGMGYPLF4fH4SJG06fjpk1jW08POYnWC7ZQvyDLtPUb6Um00dXZievp8eb9aKUhk/EVmuHM/tGuhmLdEGElolDFIbx3PCweP8EkEgna2trI5/Ocf5ufjPW7n/gEkmhra6s5y0f4PrZu3YoDMuk04fD5yX4fpvQNYzjCVmmyEQhMk85BPoM+9CseuO8/yKT38scf+SAJcuTzOR764Q9orK/njDM+5CsS+exQr/lRP7t+0DpQiHwG+rZD3xbo3crL63/JUe2JwYpA/3bo6/TrF/R3+o3fjPLZDX4WxLq3eL+EupmDx6kZvlKUmu73DTMg2UQ+V0dyVo4jmjZCMIQxoRxLFqzigfVnktvXTzL02I+OpEgmIgoq6mDngHxggeknN60RFjT7jTwD8ydJkeM8OAVrCfTArt2wew909/h91x7o6vZx3XuhOwjbs9cPIdzb4/d79oyykAojic+kUuQTCRrqstAK52fuZEd6Fl0tLX6OhKYmv02bBk1NzO/uhiOOGDrVcbgPt3DNhLDropC1YbguiijRNNHfZtyHIV6hiIfFrylUuXCObRs3Mueww0hms6SyWWZ0ddE7cyZbN23yFZ6oM+dw+ypAEosWLeKZZ55h7nmbqZ+fZc6mTWTmn8CiRYsm1d/DlL5hjBUJkvU4V8fseUeydu1anl63lZPf+16efupnbN/bwHHvPBpX34ry/b7FHnrSDzRjg1n2BroNkvh+8zH82RN10DTfb8Abm47gqOMKTM6TT/sJh/p3BFtwnN4VbLuHbplu7/AYVh5GSR1wYax+khC0NXVy3ol3U/fGKj+fQGJaYOZv9JULglEE1Ad3SfnjRD2oYWCUQXM6AztbgqGIQXyy3t8nFU2fgpT8tMZz5g92SYTbgLKLngdhuaxX/N090LMX9uzz5z37Ye8+6AnO9+33YT37Bo/374d9vbBvP+rtoz6T8ffsxy8bBrSxk7adO/0oiBhvH/WbjlBfN7QiUF9fYF8/dIhjXV0QFiykVB+MdKir98epugOdG+vq/FDQZArqUpAM46JhqUHHyAHfB5/OOces/fto2tfDgv2b4TK47Jv/zE9/9/10Ll6Me+UVlEiMPKw22gKOVxKiFZBiaYtdH6+kxI/j10bDo8f5vP8dRCmQNp/Ps2rFCt765JM0NGbgGPjU/m9z34qzeSKdpqOjozrG6RtGNRGdgGXdunUDa8gfd/wi3lNoApZ8OHVwsOUzfnOBH0E+y4DyCesF3s7NQIVA4XGCUa86mKj3Tn/TDh1deue8c2NmN6S7/YJH2T1+H27ZnuA4GAWR3YfL9tC7+zWmae8B37mm5H7vxHgQnAiwd5SJVef9LxTOXBj4YxD4ZCi2JSJplPIWnsYkTEvB3Ij/gYKRDJoJaomURyQNSfJ5x8srHufI7WtIHh2UaQbyO2Fz99uZf/QxJDJZSGchnYH+LDu79jMrpeDch5HO+K0vM5g2jE9n/W/HZfxojLDu0g/0MWj9yMf2kTrOsMfDxY/xXIJzESSS3h/0JqjL51n6xKP0/upJdPstQXdFylt+wi6KZPBOkwkfN8TqEB2CGTicJpKD4WEXSEKx8yCdgmuUGEwTpovuoxaMRML/LxPBfWP+F+1d/fD0T4I6fShnWLkP0/o5ChatfITFK55AFwNvgk50nPXQA3zz6KOZzJlyTekbxkEQKv5Q4cMwS8iGXQXD4QJztstF9rlgFr5gy2d9JWFgqGBQQ3D5YDIiIgaFhD8J1ycoeH5ApgYdHKfNG/3LcI79959CUwHNnKWO5O98Gs1dOugbkdvvh0/men0lI9/n97l+b2nI9UX2aXbv3kXL9FRQQUoPpgsrTPn+oBIVUYZlIoGfyZjfiYUfCofxEvDSAdeMY+qmikFAEocfdT00vIleoLcMUhVhNPMnFdHJx4wQH5IElnwc+HgQsAGYB8lP5Jm9bY+Z9w1jqhLOsR7lqaeeGv9UqwMt+FH+NcNKAg6Sm6HpMH/s8vhpeaPWhXygEIPKRD7HsF+4AWtDoWNFAgSCfPcGmt3rg8ERUmRwr/wLHHVJ4CQ59n7a50a7fsLAKIzQihI9DitMucEKQj4TvJ/sYOUqn42kD/dZ/87ymQIVstyQNLlsmtdefIqF0zeSiNXzMrkUidbTSEqD5USezv1p2qalGPBjGOh+CM4V6YqIxg85J7hfvBsjGlakGV8wzgVBLpY+ek38XhxwL4cj259GyQQp+ocUVc4lSdalAsNWIVND9JFFwqMyRffj0Z3l8Cmc4Z+reY7mhl2m9A1jKhIq/HXr1g0sHBKewzAt/olkiJk/aKGPleg0xQf0cxc5jlY2nFcqyVf/H/lhKhF+COM/+aWNXdzmXFQ4n6/gGYMTKkWiBx4QfyCDZv5k09CLhpRLtEYTBhUIG7hvsTKN9u3maHjt9AMUPoATaMH74IgLIs9yPP/sK5zWccRgWKjg4sehyFEFGMobDq0cGGIZnrvYeZH9AWk19LlD0kWOo33xBfrlM5kM37vzeyw8+V2cnv585BYJfrrxFE79yBeoT6VGrgTG7x3KFb/uABmKyBY1ow+MJhlyo+HlifHY5n2cuiC2YmABU30un+fRB77GBxb+lFSdG5iSTo2weM4PyWfTJOsmZ6Z5U/qGMU4k0dDQMGSlsLCPv6GhoXJmXBsw9R/cbdyeF0lohCGMu1bDjLfFLox3BEPBFl3iTT+SoVD6+HHRNAXOC/afFvnYuyL5G9KyBXW9wJz6zoJJ6xNZ3IZ/hLddGJmC2QV+BK3Fn130uSPIPPqbFXkXY5SjwHHK5XnLvN4DWtHJujzvWfgsqSOO8s6Bw923EMONVBhTuY7wnNHEO4frfA3mLBgxXTad5vh5L3iFH6MpuZ/8S98ieexlwz9znJjSN4yDoKOjY8iUqqHirxiFP4HozDWsXr2avr4+Fi9ePLCoyqpVq2hsbKSjo6PIhQVaZAVfn4afgXAq8fLNw1eAXBZevhnedd1gmFLQOHvyZSsD+WyWd7c8y285+YC4xmQ/bvt/wdGXlkGyCWb9NphbaAWKodR3rWNO087CcYkM7vm/g7df6IfITjC1NSOCYUwCcQVfiwo/ir0PUNdaksMofeV6YetPSihReUn2rGdu/ZsF4+oTaRJrr/SjQWqF569Fw8zmST4N666elEdbS98wjAnBOUd/f/8Qn4aoz0MtLTKjM9dw7733snnzZnbt2jVg9WhtbWX+/Pmcc8455RaxpLh1XyUxnJLLBUouavmoZrqeK1ul0JS+YRgTQtF5CyI+D7WCc4729nY2bNhAIpEgkUiQz+fp6emhvb29pipAAOpeRyIxnJNnbVk+smf8kmuuuWbI1Ludnd4HRBJXXHEFdXWT05VlSt8wjAljTPMWVDHOOdasWUM2m+XII48csrTumjVrau6duA/9mltuvZVmNXPt69fQ3NxMV1cXmUyG2bNnc/HFF9fU/Pt1dXU0NjaSyWRoaWkhlUrR1tbG7t27qaurmzSFD9anbxjGBFJs3oLJnGFsKpJIJGhvbx9Q+IlEgnPPPZcjjzyS9vb2mlJwMPg+UqkUzc3NJBIJmpubaW1trcn3AXD55ZezZMkSUinf9k6lUixZsoTLL798Up9rLX3DMCaEKTFvwRTinHPOIZ/PDyi0UPHXooJzzjF37lw2b97MCSecMPDbWLNmDXPnzq257o7wv7J+/foD/iupVGpS/yum9A3DmBCqZt6CCSSu4GtR4cPgb6Opqcl+G5T3v2JK3zCMCcPmLTCK0dHRwcqVK+23EVCu/0ptVjsNw5g0bJy+MVpq/bdRjv+KKX3DMAzDqBHKovQlfUbSq5L6JK2WtGSYtOdIelhSp6S9kp6R9IellNcwDMMwqoGSK31JHwNuBL4KvAtYBfxI0uFFLjkVWAGcGaT/IfCfw1UUDMMwDMM4kHI48v0NsNw5d1twfpmkDwKfBq6IJ3bOfS4W9BVJZwJnA09MpqCGYRiGUU2UtKUvqR7oAB6ORT0MLB7DrWYAuydKLsMwDMOoBVTKmbIkzQM2A6c65x6PhP9P4Hzn3DtGcY9LgWuB45xzrxWIvwi4CKC9vb3jrrvuOmi5e3p6mD59+kHfZypT7Xms9vxB9efR8lf5VHsep0r+Tj/99NXOuZMKxVXUOH1JfwJ8DfhYIYUP4Jz7FvAtgJNOOsmddtppB/3clStXMhH3mcpUex6rPX9Q/Xm0/FU+1Z7HSshfqR35dgA5oD0W3g5sHe5CSR8Fbgf+wjn34OSIZxiGYRjVS0mVvnMuDawGlsailuK9+Asi6c/wCn+Zc+6eyZPQMAzDMKqXcpj3rwdul/Rz4EngEmAecAuApH8FcM79RXB+Ll7h/y3wuKS5wX3SzrldJZbdMAzDMCqWkit959y/S5oFfBk4FFgHfDjSRx8fr38JXs4bgi3kMeC0yZTVMAzDMKqJsjjyOeduBm4uEnfacOeGYRiGYYwPm3vfMAzDMGoEU/qGYRiGUSOY0jcMwzCMGsGUvmEYhmHUCKb0DcMwDKNGKOnc+6VGUidQcLreMTIbP5tgNVPteaz2/EH159HyV/lUex6nSv7e6pxrKxRR1Up/opD0bLHFC6qFas9jtecPqj+Plr/Kp9rzWAn5M/O+YRiGYdQIpvQNwzAMo0YwpT86vlVuAUpAteex2vMH1Z9Hy1/lU+15nPL5sz59wzAMw6gRrKVvGIZhGDWCKX3DMAzDqBFM6Y+ApM9IelVSn6TVkpaUW6bxIOkKSb+QtEdSp6QHJR0XS7NckottT5dL5rEg6aoCsm+NxCtI86akXkkrJb2znDKPFUkbC+TRSfpBED/sO5hqSDpF0gOSNgeyLovFj1hmklok3S6pO9hul9RcynwMx3B5lFQn6R8krZG0T9IWSXdKOjx2j5UFyvWukmemAKMowxG/KZIaJH1D0o7gPTwgaUFJM1KEUeSv0P/RSfq/kTRT6rtqSn8YJH0MuBH4KvAuYBXwo/ifskI4Db+c8WLg/UAWeFRSayzdo8Chke3DJZTxYNnAUNmPj8R9Afg8cBnwbmA78IikGaUW8iB4N0PztwhwwN2RNMO9g6nGdGAd8Dmgt0D8aMrsTvx7+GCwLQJun0SZx8pweWzCy/t/gv0fAYcBP5YUX/b8XxharhdPosxjYaQyhJG/KTcAfwJ8HFgCzAQekpScBHnHykj5OzS2nRWE3x1LN3W+q84524pswDPAbbGwl4Bryi3bBORtOpADzoqELQceKrds48zPVcC6InECtgBXRsKmAXuBi8st+0Hk+UqgC5g20juY6hvQAywbS5kBx+ArPb8fSfO+IOwd5c7TSHkskubYQP7jI2ErgZvKLf948jfSNwV4C5AGzo+EHQbkgT8od57GUX63ARvG8g5KvVlLvwiS6oEO4OFY1MP41nKlMwNv6dkdC3+fpO2SXpR0m6Q5ZZBtvLwtMAW/KukuSW8Lwo8A5hIpS+dcL/A4FVqWkgT8JXBHkJeQYu+g0hhNmZ2M/xCvilz3JLCPCi1XfCsXDvxfnhuYv5+X9PUKs1AN903pAOoYWs6bgN9QYWUoaTpwLl7xx5ky39W4CckYZDaQBLbFwrcB/6304kw4NwK/Bp6KhP0YuBd4FVgIXA2skNThnOsvtYBj5BlgGbAemAN8GVgV9AHPDdIUKsv5pRJwglmKV4zRD0zRd+Cc21lyCQ+O0ZTZXKDTBc0pAOeck7Q9cn3FEDQ0/hF40Dn3RiTqTvwaIm8C7wSuAU4Azii5kGNnpG/KXLzFMT5f/TYqrwzPA+qB78bCp9R31ZR+DSLperwZ9H3OuVwY7pyLOgetlbQa/7E5E/+jnbI4534UPQ8cZV4BLgQqwhlxjHwK+IVz7rkwYIR3cH1pxTPGQtCHfwfQDPxhNM45F53wZa2kV4BnJC1yzv2ydFKOnUr+poyDTwH3O+c6o4FT7R2Yeb84O/A10PZYeDswZT2iR0LSP+EdZt7vnHtluLTOuTeBN4C3l0K2icQ51wM8j5c9LK+qKMvANPhHFDYjDhB7B5XGaMpsK9AWdHUAA90ec6igcg0U/r/hW+8fGIVV5ln8t6niyrXAN2Ur3qI6O5a0ov6bkk4ETmKE/ySU/7tqSr8Izrk0sBpvRo2ylKF9iBWDpBsZVPjrR5F+Nt6UumWyZZtoJDUCR+NlfxX/AVkai19CZZblMqAfryiKEnsHlcZoyuwpvEPqyZHrTgYOoULKVVId8O94hX+6c240iu54vKKsuHIt8E1ZDWQYWs4L8E6aFVGGARfhf7OPjpSw3N9VM+8Pz/XA7ZJ+jncQugSYB9xSVqnGQTBu9M+Bs4HdksL+sh7nXE/ghHIV8B/4H+NCfN/hduA/Sy3vWJH0deBB4HV8S+/v8B//7wb9vDcAX5K0HngR39/dg+8vrRiCluwngbuClnw0rug7KLWcoyH4zR0VnCaAw4MW0y7n3OsjlZlz7jeSfgzcKumi4D634j2lN5QuJ8UZLo/4Pvrv44cjngW4yP+y2znXK+lI4Hzgh3jr47H4fv9f4b9JZWWE/O1ihG+Kc65b0neA6wJfjJ347+4aRqFAJ5uRfqNBmiZ8GV0X9S+JXH8VU+m7Wu7hA1N9Az4DbMS3rFYDp5RbpnHmwxXZrgripwH/hf8xpvF9TsuBw8ot+yjzdxf+I5oGNuP/ZMdG4oX/820B+oDHgOPKLfc48nl6UG6/N9Z3MNU2/NwRhX6Ty0dbZkALvi98T7DdATSXO2+jySNeART7Xy4Lrj8syPfO4Bv0Mt4Jt7XceRtF/kb1TQEagG8EedyPr7hOie/OSL/RIM0n8POezCtw/ZT7rtqCO4ZhGIZRI1ifvmEYhmHUCKb0DcMwDKNGMKVvGIZhGDWCKX3DMAzDqBFM6RuGYRhGjWBK3zAMwzBqBFP6hlEGJJ0s6e5gRby0pJ2SHpF0YbiOuKRlkpykhZHrNkpaHrvXWZLWSuoL0jdLSki6QdIWSXlJ901iXhYGz102QrowP0cNl64cSDpb0t8UCD8tkLkaFtkyDJuRzzBKjaS/xs86tgL4In7Cjhb8qmnfBLqA+4tc/sf4SWjCe6WA7+GnLL0UPwHIXuCjwOeAz+Onq620VfZKzdn41TNtYSKjqjGlbxglRNIpeMVyk3Pus7Ho+4MVEA8pdr1z7lexoPnADOBu59zjkeccExze4JzLT4DcDW7qL69sGMYImHnfMErLF/Fzkn+hUKRz7rfOuTXFLo6a9yVdhZ8iGuA7gRl6paSN+OlrAXJR07ukQyX9q6QdkvolrZF0QewZoRn+FEnfl9QFPBPENUm6OeiO6JH0ALBgHO+hKJIukvRc0F2xQ9J3JLXG0jhJV0v6rKRXJe2V9Jikd8bSJYN0WyTtl7RC0tHB9VcFaZbjlx+eH4S74B1GaZJ0UyDPDkl3SGqeyHwbRimwlr5hlIigr/504D7nXN8E3PLbwDr8oi1XAz/Am/4bgM/iV+MLV6D7raRD8PO4twBfAjYBF+AXlWpyQ9dtB99t8G/4roLwW3Er8DHgK8Av8KujTdiiRZKuxXdJ/DNwOd6ScTVwnKTFzrlcJPkFwAZ8N0Y98DW8teRo51w2SPOVIK9fwy/g0gE8EHvs/wba8AvfhGvZx60aNwIPAecB7wCuwy9ve+HB5NcwSo0pfcMoHbPxC3C8NhE3c869IenXwelvnXNPh3GSNgdpomF/hV/D+3Tn3Mog+EeS2oGrJX0nplTvcc59IXL9O/BK70rn3LVB8MPBSmKXHGx+AofFy4GvOOf+PhL+IvAz/Ep090UuyQAfcc5lgnTgK0C/B6yS1AL8NXCLc+6LwTWPSErjV6oDvHVFUieQjr6vGI875y4Ljh8O3sUnJS1ztoCJUUGYed8waodTgM0RhR9yB76le2wsPL7053vw34y7Y+F3TZB8S4P7f09SKtzwXQt78fJHeSRU+AFrg/3hwf54vH/E92PX3TMO2X4QO1+Lt6i0j+NehlE2rKVvGKVjJ9ALvLVMz2/FL1MbZ2skPko87aHBflssPH4+XuYE+5eLxM+Kne+KnYcm+cZgH8q7PZZuPPKO9CzDqAhM6RtGiXDOZSWtBJaWyRt+F74/Os7cSHyUuNk6rAS0A69EwieqtRsOKzwD2D1M/GgJ5Z0DPB8Jt9a5UbOYed8wSsu1+BbrdYUiJR0h6YRJevZjwAJJvx8LPw/fGn5hhOufAfLAn8XCz50Y8XgkuP/hzrlnC2yvjvF+a4F9wJ/GwuPn4Fvu08YusmFUFtbSN4wS4px7PJj57XpJxwLLgdfxHvUfAD6JV8JFh+0dBMvxnu73SroSeAM4H9+XfnHMia+Q7Bsk3Qn8vaQE3nv/DODDY5Tjg5K2xsK6nXOPSPoH4KbAUe4xoA84LJDx2865n472Ic653ZJuAL4kaS/ee38R8JdBkuj8BS8ArZI+DTwL9Dnn1mIYVYYpfcMoMc65GyT9HPjvwNfxXv178crmYuDBSXruPkmn4q0M1+In9dkA/Llz7o5R3uZioAf4W/wwuRX4SsrPxiDKNwqEPQ8c55z7kqTf4GcXvBTfxbAJ+Anw0hieEfK/AOEV/Wfx1oplwJNAdyTdt4H3Al8FmvEjLBaO43mGMaWRjTYxDKOWkPRRvEf/Kc65J8otj2GUElP6hmFULZLeA5yJb+H34Sfn+R94C8diG2Nv1Bpm3jcMo5rpwY/vvxSYiXdYvBu4whS+UYtYS98wDMMwagQbsmcYhmEYNYIpfcMwDMOoEUzpG4ZhGEaNYErfMAzDMGoEU/qGYRiGUSOY0jcMwzCMGuH/A303Y74YtR8eAAAAAElFTkSuQmCC" }, "metadata": {}, "output_type": "display_data" @@ -415,12 +423,12 @@ }, { "cell_type": "markdown", - "metadata": {}, "source": [ "# 3. Simultaneous RB experiment\n", "\n", "We use `ParallelExperiment` to run the RB experiment simultaneously on different qubits (see Ref. [5])" - ] + ], + "metadata": {} }, { "cell_type": "code", @@ -430,8 +438,8 @@ }, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: ParallelExperiment\n", @@ -499,11 +507,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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\n", 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" }, "metadata": {}, "output_type": "display_data" @@ -527,11 +537,13 @@ ] }, { + "output_type": "display_data", "data": { "image/png": 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\n", 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8+OGHAsiPP/4oS5culX379nnP2b17tyQnJxe67d69u9DnnJWVJYMGDZK4uDhJTEz0u8635/u1114r1157rd9z+/rrr2XdunWSlJQkDzzwgADy5Zdfes958sknZfr06fL333/LqlWrZPz48eJyueS1117znvPvf/9bZs2aJRs2bJAFCxbIgAEDJCYmxu8ZXH311dK4cWP5/PPP5e+//5ZFixbJuHHj/N4rv5SUFImNjZUhQ4bIihUr5Msvv5SYmBgZP358oddom37ZoIg2/QrtyFfW2/EG/TfeEImKygv6DkdOgaAfEeGWxx8X7dQXRJXhD/dYf/d27doll1xyidSqVUtq1aol//3vf2XKlCkSFxcnY8eODW4ipeig36dPH6levbqEh4dL165dZcqUKX7HN27cKIC8++673n0TJkyQRo0aSUhIiDRu3FgeeughyQgwvvWZZ56RU045RSIjI6VLly4yffp077GlS5dK7969pVatWhIWFiZNmzaVW265RbZu3ep3j3Xr1slll10mNWrUkPDwcGnZsqXccccdAd/P1yuvvCJNmjSR0NBQ6dy5c4GOfWPHjg1UKPH7nE2aNAl4jmdr0qSJ3z19n7PnuRX3Hr169ZJevXp5Xz/77LNy2mmnSXh4uNSsWVPOPvts+fHHH/3e54EHHvA7p3v37gU6Xg4ZMkQaNGggISEhEhcXJ4MHD5aV+UoumZmZMnbsWGnWrJmEhIRIbGysXHTRRbJ48eIin+3y5culZ8+eEhYWJvXr15dHH33Ub7hefhr0y0ZRQd9I2deQV5iEhAQ5nuVNn3gCxo4VRGybfUhIDllZTr9zjBHuucdw223QtCk4nQFupEpl1qxZhQ7fOlkkJCTo0rrKS59z2fH9W6sM/zuCwRiTKCIB1xzWfudFqF8fIiPzXvfpU3CazPBwe15ODhw4UI6JU0oppUpJg34RLr/cBnOP3r23FjjH7YaBAyEqCvbuhSL6yyillFIVSoN+EWrWhH//WwgJsUNTQkP9lwpwubIYMUKoXh2MgdBQ2LXLtvYrpZRSJxoN+sV4/HFDr16JuFxZ2OV9BGNsVG/QYC+jRuWN0Q8Ph6NH4dChikmrUkopVZSTYXKeCuVwGJ55JoRduxZz5Aj861+GrCzhtddg165YduwwNGqUd35kpC3tR0bq3PxKKaVOLFrSL4H4+HguvLAbderA7bfDQw8ZBg0SMjMdPPWU/7lOp91ylwZXymvYsGEB10Pv1q2b95ymTZt690dGRtKuXTveeOMNv/tkZmYybtw4OnXqRGRkJLVq1aJbt268/vrrRU7CEmzJyclcddVVnH766TidToYNG1ai69atW8cll1xCnTp1iImJoVu3bvz0008Fzvvggw/o2LEj4eHh1KlTh+uuu857bNOmTQGfZaD7lFZGRgZ33nknderUISoqiosvvpht2/LW/NqzZw/nn38+cXFxhIWFccopp3D77bdz8ODB435vX0899RRnnXUWUVFRlHQV8f/85z906dKFatWqUbduXS666CKSkpL8zgn03Iwx3H777YCdOOj++++nQ4cOREVF0aBBA6666qoCMyYeq9mzZxMfH094eDjNmzdn4sSJRX4eYwx33HFHUN5badAvsfx/dGPGGMLD4bvvYOFC/3MjIuDgQfBZQlwpAPr27eu3jnlycnKBtc4feeQRkpOTWb58OZdccgkjRozg008/BWzAP//883nqqacYPnw4v//+O4mJiYwcOZJ333232JX2gikjI4M6derwwAMP0LVr1xJfN3DgQNLT0/n1119ZunQpZ599NoMGDeLvv//2nvPiiy8yatQo7r33XpKSkpg5cyaDBg0qcK+ffvrJ71l65oY/HnfffTdffvklH3/8Mb/99huHDh1i4MCB5OT26nU4HFx66aV8//33rFu3jkmTJvHrr79y0003FXrP3377rVRT9IJ9voMHD+buu+8u8TWzZs3itttuY968ecyYMQOXy0Xfvn29KyACBX7/vv/+ewD+7//+D7Cr+S1ZsoQHH3yQJUuW8O2337J161YuuOACsrOzS/UZ8tu4cSP9+/enR48eLF26lNGjR3PnnXfy5ZdfFjh3wYIFvPHGG3To0OG43lPlU9gA/sqwBXOVPRHxW2Vv+3aRkSPtBD1t2ohs2ZK3f/t2kc2bRf76SyQ7O6hJqBIqwwQbgX73SjIRSZMmTWTcuHF++1q0aCFXXHGFiNgJWowxsmjRogLX5uTkyMGDB0uVzuLWeS+pAQMGyNChQ4s9b8+ePQLIjBkzvPuysrLE4XDI559/LiIiBw4ckMjISJk2bVqh9/FMcBPoOfj67rvvpHPnzt5JfsaMGVPk5D0pKSkSEhIiH3zwgXffli1bxBhT5HryEyZMkPr16xd6/McffywwYU9Jff7552L/VZfe4cOHxeFwyHfffVfoOTfeeGPAVQZ9rVy5UgBZvny5d19KSorcdNNNUrduXYmOjpZzzjmn2J/HfffdJ6eddprfvhtuuEG6devmty8lJUWaN28uM2bMkF69esntt99e6D11cp6CKGJyHi3pH4fbboNGjWDVKvjgA/9jLpcdzueTwVbqmISHh3sXN/nwww/p27evdwEbXw6Hg2rVqhV6n+jo6AJbgwYNvN/nX32tLNSuXZvWrVvz/vvvk5qaSk5ODm+88QYxMTGcddZZAEybNo2cnBx27dpFmzZtaNiwIZdeeikbNmwocL/BgwdTr149zjrrLL744gu/Yz///DNXX301d9xxBytXruSdd97hiy++YMyYMYWmLzExkaysLPr16+fdd8opp9C6dWvmzZsX8JodO3bw1Vdf0atXr2N5JGXq8OHDuN1uatasGfB4amoqn3zySZG1FACHcnsne+4jIgwYMIDt27fzww8/sHTpUs455xzOPfdckpOTC73P/Pnz/Z4twPnnn8/ixYv9Vi28+eabufzyy4O6MqKyNOiXku9wvIgIeOQR+/1zzxUM8JGRsG+f7dGvFNjq6PyB9/777w94bnZ2NpMmTWLFihXelcnWr19P69atj+m9ly1bVmCbO3eu9/u33nrrmD9XSRljmD59OklJSVSrVo2wsDAeffRRpk6d6l04ZsOGDbjdbp588kmef/55vv76a7KysujTpw9paWmAzcCMHz+ezz77jClTpvCPf/yDIUOG8IFP7vupp55i1KhRDB8+nFNPPZU+ffrw7LPPMnHiRKSQcbU7d+7E6XRSp04dv/2xsbHs3Om/kveVV15JZGQkDRs2JCYmhnfffdd7bMuWLX4/48suu6zAvltuuSUoz7Qod911Fx07dvRbrtnXRx99RGZmJkOHDi30HpmZmfz73//moosuolFur+WZM2eybNkyvvjiC84880xOO+00nnjiCZo3b877779f6L127txJbKz/SumxsbFkZ2ezN7cj1Jtvvslff/3Fk08+WdqPq0pAe++XgjE2kKen2+F5AP37w9lnw9y5MG4c/Oc//ueHh0Nysp2it5BlyFUVcs455xTomJd/bfEHH3yQRx99lIyMDEJDQxk1ahQjRowAKDRYlUSgVefKe3pYEeG2226jdu3a/Pbbb0RERPDWW29x2WWXsWjRIho2bIjb7SYrK4sXX3zRWyr88MMPqV+/Pt9//z1DhgyhTp06/Pvf//beNyEhgb179/Lcc89xzTXXALbU/scff/Dss896z3O73Rw9epSdO3fy7rvv8vTTT3uPrVq1qlSf5X//+x9jx45l3bp1jB49mrvvvpvXX38dgLi4OL+lfWfNmsWjjz7KrFmzvPuKqpUJhpEjRzJ37lzmzp2Ls5D5wd98800GDRpE3bp1Ax7Pzs7mmmuuISUlhe+++867PzExkbS0tALXpaene/tmREdHe/dfc801RXbY81i7di1jxoxh7ty5ha6eqI6PBv1SqlsXNm3KC/rGwOOPw3nn2Sr+q6+Gdu3yzg8NtR369u+HfIUHVQVFRkYGDL6+Ro4cyQ033EBkZCQNGjTw60TasmVLVq9efUzv7ftPOJCePXsyderUY7p3Sc2YMYPvv/+e/fv3ezM7r776KtOnT+fdd9/loYce8pb427Rp472uevXqxMXFFdmDvGvXrn6lbbfbzdixY/2W0fWoW7cut9xyi7fzGthAXb9+fXJycti7d69fQNu1axc9e/b0u0f9+vWpX78+p59+OrVq1aJnz5489NBDnHLKKbhcLr+f87p16wrsK0v33HMPn3zyCTNnzqR58+YBz1m2bBmLFy/2y/j4ys7O5sorr2TFihXMmjWL2rVre4+53W5iY2P57bffClznycz4Zno8++rXr8+uXbv8zt+1axcul4s6derw888/s3fvXtq2bes9npOTw5w5c5g4cSJHjhwhLCysZA9BBaRBv5TCw6F6dUhLs9X7AK1awfDh8NZb8PDD8NVX4NvZPzLSDuGLjs7LLChVmNq1axcaHK666ipGjx7N4sWLC7Tru91uUlNTCy1B+v4T9khNTfVmBiI8v9BlyFM978hX7eVwOHC77YyXnrb9tWvXequTU1NTSU5ODriOu0f+teU7d+7MmjVrCn2WtWrVolatWn774uPjCQkJYfr06Vx11VUAbNu2jdWrV9OjR49C39uT9vIcMlmYu+66i08//ZSZM2dy+umnF3reG2+8QbNmzejbt2+BY1lZWVxxxRUkJSUxa9Ys6tev73e8c+fO7Nq1C4fDUWimItBz7969O19//bXfvunTp5OQkEBISAiXXHJJgd/r4cOH06JFC8aMGUNoaGihn0eVUGE9/CrDFuze+56eoRkZImvWiGzbltdbf9UqkTp1bG/+F17w78m/fbvIhg0iGzeK5OQENUmVUmXogVtY7/2+ffsWufZ6oN77vtLT06Vnz55So0YNmTBhgixdulQ2bNggX375pXTv3r3Uz+54e+8vXbpUli5dKj179pSLLrpIli5d6rdM61dffSWtWrWSbdu2iYjtvV+7dm0ZPHiwLFu2TNauXSv33nuvuFwuSUxM9F43aNAgadu2rcydO1dWrlwpl19+uTRp0kSOHDkiIiKTJk2SDz/8UFatWiVr1qyRcePGSUhIiDz//PPee/z000/icrnk4YcflhUrVsjq1avl888/l1GjRhX5mW655RZp2LChTJ8+XZYsWSK9e/eWM844Q7Jzh+J8//33MmnSJFmxYoVs3LhRfvjhB2ndurVfD/Ts7Gy/n/H69esL/NxTUlKKTMfmzZtl6dKlMm7cOAG8z/rw4cPec1q1aiUvvfSS9/Vtt90mMTEx8uuvv/q9l+81IiJHjhyRatWqyZNPPlngfbOysmTQoEESFxcniYmJfvdJS0sTERG32y1nn322tGvXTqZMmSIbNmyQefPmySOPPCJz5swp9DNt2LBBIiMj5a677pJVq1bJm2++KSEhIfLFF18Ueo323i89iui9X+GBuSy3sgr6IiJ79oisW+cf2CdMsE+0dm2RlSsLBv61a0X27QtqkiqlyvCHW1jQJ8Aa6g0bNvSeU1zQF7GB/5lnnpEOHTpIeHi41KhRQ7p27SoTJ04sdi35/I436Af6PL5D0959910BZOPGjd59ixYtkn79+kmtWrUkJiZGzjzzTPnhhx8KpOvGG2+UmjVrSo0aNWTgwIHy119/eY9PmjRJWrduLZGRkRITEyPx8fHy/vvvF0jfzz//LGeffbZERER4z/MNkoGkp6fLHXfcIbVq1ZKIiAgZOHCgbNmyxXt8+vTp0q1bN6levbqEh4dLixYt5L777pP9+/d7z/EMKSxqK26IY2G/L75/H4CMHTvW73WgzfccEZF33nlHnE6nbN++vcD7FpX2d99913veoUOH5F//+pc0bNhQQkJCpFGjRjJkyBC/n1Mgs2bNkk6dOkloaKg0bdpUXnvttSLP16BfekUFfWOPV04JCQkSzDXNfddqzs6GjRttFb+nplLErsy3YAFcd51/pz7P8dRU26lPm6UKVxnWxPZd4/tEpuu8lw99zmXH92+tMvzvCAZjTKKIFBzXiw7ZO2Yul+2Yl9tECdh2/Keessfefx/yN6F6VuJLTrZj+JVSSqnypEH/OFSvbufZ952Z8vTT4cYbbal+zBjInbnTKywMMjMhJaVck6qUUkpp0D8eDgfUq1dw8p2RI6F+ffjzz4Iz9QFERcHu3Xa8v1JKKVVeNOgfJ88wPN+ROlFRduw+wDPP2ADvyxhb4t+5U6v5lVJKlR8N+sfJGIiNtVX2vvr3h3PPhUOHYOzYgtd5qvl1bn5V1oYNG8bAgQMrOhknrXbt2vHoo49WdDKUCgoN+kEQHg7VqvlX83s69XmW350xo+B1UVF20h6t5lfHa9iwYQHXSF+2bBkTJkzwm5O+d+/euj75SeDVV1+lWbNmhIeHEx8fH3D2u/yKW6u+adOmAX9PBgwY4HdecnIyQ4cOpW7duoSHh9OmTRtmz57tPR7o961bt27B+eCqTGnQD5I6dWyHPt8RkI0bw7332u9Hj/bv6Q95c/Pv2FGww59SpdW3b98Ca6W3a9eO6tWrF5jfv6rJzF8Vd4L79NNPueuuuxgzZgxLly6lR48eXHjhhUVOQ1ySteoXLVrk9/uxZMkSjDF+0xGnpKRw1llnISL8+OOPrF69mpdeeol69er5vV/+37cpU6YE/0GooNOgHyQhITbwHzniv//GG6FNG9i2DZ5/vuB1oaE24OcuMKXUMQsLC/POB+/ZXC6XX/X+sGHDmD17Nq+88grGGKpVq8amTZsK3Gv48OHUrVvXb172jRs3Ehoa6ldrkN9XX31Fhw4diIiIoFatWvTq1ctvrvXnnnuO+vXrEx0dzXXXXcejjz5K06ZNvccDNUU8+uijtPNZ0GLRokX069ePOnXqUK1aNc4++2zmz5/vd40xhldeeYXBgwcTFRXlXU73+++/95aEmzVrxoMPPuiXIdi9ezeDBg0iIiKCJk2a8M477xTxxMvO888/z7Bhw7jpppto3bo1L730Eg0aNOC1114r9JqJEycSFxfHSy+9ROvWrbnpppsYOnQo48eP955Tt25dv9+PKVOmUK1aNb+g/9xzz9GgQQMmT57MmWeeSbNmzfjHP/5RYHXH/L9v+ac0VicmDfpBVKOG7dHvW2oPCbGr7xkDb7wBSUkFr4uMhAMHCmYYlAq2CRMm0L17d4YPH05ycjLr16/nlFNOKXDe888/z3/+8x8efvhh1q5dC8AjjzxCq1atvHPS57dz506uuOIKhg4dyurVq5kzZw7XXnut9/hnn33GQw89xGOPPcaSJUto1aoVzwfKCRfj8OHDXHvttfz222/88ccfdOzYkf79+7Nv3z6/8x577DH69+/PihUruP322/n555+5+uqrueOOO1i5ciXvvPMOX3zxhTdDADbT8ddff/HLL7/wzTffMHny5ICZIl+//fZbgeWS82++gbc4mZmZJCYmFlh3vl+/fsybN6/Q60q6Vr2HiPD2229zzTXX+K278M0339C1a1eGDBlCvXr16NixIy+//DL5J3KbO3cu9erVo2XLltx0003szt9jWZ2QdMGdIHI6bae+7dttG79Hx45w/fXw9ttw//22jd93pUvPkr2eJXhd+lNRx+Cnn37yW0kv0Kp51atXJzQ0lMjISOrXr8/hw4cDLrtas2ZNbrzxRr744gsmT57MlVdeyUcffcRXX31VYLEcjx07dpCVlcXll1/uXRjHt4T+wgsvMHToUO8ywQ8++CAzZ87kr7/+KtXnPPfcc/1ev/TSS3z55ZdMnTrVu6wuwJAhQ7jxxhu9r4cOHcqoUaMYPnw4AKeeeirPPvss11xzDePGjWP9+vVMnTqVuXPnehf9ee+99wpdUMYjISEh4GJGvkqzTOzevXvJyckJuO78L7/8Uuh1O3fuLLB4ju9a9b6LEYFd6Gbjxo3cdNNNfvs3bNjAq6++yj333MMDDzzAsmXLuPPOOwG8fUEuuOACBg8eTLNmzdi0aRMPPfQQ5557LomJiboK3glOw0uQRUfbAJ6R4T/V7n33wZQpdpa+t9+Gm2/2v87lsr35d+2CuDj/VfqUKolzzjmHN954w/s6GKvmXXfddYwePZoVK1bQpUsXBg0aBNj17T3BG2Dq1Kn06NGDvn370q5dO/r160ffvn25/PLLvUvUrl692i8Ig111rbRBf/fu3Tz88MPMnDmTXbt2kZOTw9GjRwu0d+dfrS0xMZE//viDZ5991rvP7XZz9OhRdu7cyerVq3E4HJx55pne402aNCEuLq7I9ERERBS7ZO7hw4dL+vHKzZtvvkmXLl0444wz/Pa73W4SEhL4T+484p06dWL9+vW88sor3qB/xRVXeM9v37498fHxNGnShB9//JHBgweX34dQpabV+0FmjJ2wJyPDv1NfdLQdsw/w7LMQqMYwMhIOH7abUqUVGRnJaaed5t0aNmx43Pe85JJLOHDgAN9//z1PPfWUd//FF1/MsmXLvFtCQgJOp5Np06Yxbdo0OnTowNtvv02LFi34888/S/x+DoejQDVy/qrpoUOHsmjRIv73v/8xb948li1bRqNGjQp01ouKivJ77Xa7GTt2rF+6ly9fzvr1670ZE7D9AUoj2NX7derUwel0Blx3Pv8St76KW6ve1+7du/n2228LlPIBGjRoQJs2bfz2tW7dushOhHFxcTRq1Ij169cXeo46MWhJvwyEh0PNmjZ4R0bm7e/bFy69FL7+GkaNgs8+K1iij462k/aEh9tOfkoFW2hoKDklHC4SGRlJixYtMMbwj3/8w7s/JiYm4AIyxhi6d+9O9+7deeSRR2jbti2ffvopZ5xxBq1bt2bBggVcf/313vMXLFjgd33dunULVJXnfz137lxefPFF7zCzXbt2kZycXOxn6dy5M2vWrCm0VH766afjdrv5448/6NGjBwBbtmxhx44dRd432NX7oaGhxMfHM336dP75z39690+fPp3LLrus0OuKW6ve16RJkwgLC+PKK68scJ+zzjrL24/DY926dd4mm0D27t3L9u3bCzQhqBOPBv0yUru2nZjH7c5bhQ/sTH2zZ8O8efDRR3D11f7XORy2qn/HDjvkr5DmU6WOWdOmTfnjjz+8HdSioqIKbaefPn06S5YsITo6mrS0NCJ9c7H5LFiwgF9++YXzzz+f2NhYli5dytatW72lxrvuuovrrruOLl260Lt3b7744gsWLlzo1+v73HPP5bnnnuOdd97hnHPO4auvvuL333+nUaNG3nNatmzJBx98QNeuXTly5Aj33XcfoSXIIT/yyCMMHDiQJk2a8H//93+4XC6SkpL4448/eO6552jVqhUXXHABI0aM4I033iAiIoKRI0cW20xSFtX7I0eO5Nprr+XMM8/krLPOYuLEiezYsYNbbrnFe851110HwOTJkwG45ZZbePnll7n77rsZMWIEv//+O5MmTeLjjz/2u7eI8NZbb3HFFVf49QHxuOeee+jRowdPPfUUQ4YMYenSpbz44ovekRypqak8+uijXHbZZTRo0IBNmzYxevRo6tWrx6WXXlqqz6kqQGFr7laGLdCa5sejtGs1p6SIrFkjsn27//bqqyIgEhMjsmhRwePbt4usXSuyZ09Qk3/SqAxrYgf7d684Q4cOlQEDBpTo2Nq1a6Vbt24SERFRYK37/Lp06SKDBg2Sxo0bB1yv3teqVavkggsukHr16kloaKiceuqp8uyzz/qd8/TTT0vdunUlKipKrrzyShk7dqw0adLE75yxY8dK/fr1pVq1anLrrbfK6NGjpW3btt7jy5YtkzPPPFPCw8OlefPmMnnyZGnbtm2BdeU///zzAmn8+eef5eyzz5aIiAiJiYmR+Ph4eemll7zHd+7cKRdddJGEh4dLo0aN5M033yxw72Nx6NChUl/zyiuvSJMmTSQ0NFQ6d+4ss2fP9jveq1cv6dWrl9++kqxVP2PGDAFk4cKFhb73Dz/8IB06dJCwsDBp0aKFTJgwQdxut4iIpKWlSb9+/aRu3boSEhIijRs3lqFDh8qWLVtK/RmDwfdvrTL87wgGYLEUEheN5Gs/q0wSEhIkmGual3atZhHbdu9ZUtd3//XXw7Rptsp/0qSC1fwitnmgcWP/JoKqoDKsie27xveJrKh13r/++msuv/xyli9fzkcffcSiRYuYNm1aUN9//PjxvPzyy8UOizvZFfWc1fHx/VurDP87gsEYkygiCYGOaeVxGTLGrraXf5pdY+A//7HD+n75Bb76KvC1kZG2mt936V6lyoPb7ebhhx/myiuvpG3btlx33XX8+uuvvPbaa+zVmaSUOmlVSNA3xtxmjNlojEk3xiQaY3oWc/7txpjVxpijxpi1xpjryiutxysiwnbqyz8Fb/36eQvxPPKI7byXn2e8/q5d/iMBlCprH374IWvXruWxxx4DoFWrVjzxxBM8/PDDjBo1qoJTp5Q6VuUe9I0xQ4AJwNNAJ2AeMNUY07iQ828FngUeB9oCY4FXjDEXlU+Kj1/t2jZo5+8wPWSIXYkvJcWO4w8U2CMjITXVnqNUebn22mvJysri1FNP9e4bM2YMe/fu5d133w3a+9x7772VvmpfqRNJRZT0RwKTRORNEVktIncCycCthZx/LfCmiHwsIhtE5BPgDeD+ckrvcXO57Nj9QAvuPPccVK8Ov/5qh/AFEhVlS/u+q/gppZRSpVWuQd8YEwrEA/l7A00DehRyWRiQf/HZo8CZxpiSD36tYNWq2Rn6MjL89zdoYIfxga3u37694LUOh20m0NX4lFJKHY/yHqdfB3ACu/Lt3wX0LXg6AD8DNxhjvgIWYzMNNwIhuffzm5XDGHMzcDPYeadnzZoVrLSTmpp6XPcTsUE//1Tnp58O3bu3Y/78Otx6636efnp5wGl43W7YsMEu4lOZHe9zPhGkp6efkFOv5peTk3NSpPNkp8+57KSnp3v/X1SG/x1l7WSYnOcJoD627d9gMwjvAfcB7vwni8gb2Op/EhISJJjDN4IxHGT3bjh40FbZ+3r1VejTBxITa7FkSW+uK6Sr4qFDdlGfmjWPKxkntMow7KZZs2b06dOnopNRrPT0dMLDwys6GZWePuey06xZM+//i8rwv6OslXfQ3wvkALH59scCAfqvg4gcBa43xozIPS8ZW5I/DOwpu6SWjdq17fj77Gz/1fTq1bPD+G691Vb3n3UW+PSh8oqOtu374eG2yl+dmL7//vuKTkKJ6D/J8qHPWZ0oyrVNX0QygUTgvHyHzsOW5Iu6NktEtolIDnAF8IOIFCjpn+g8y+8G6pR38cUweLA9dtddgcfn+7bv6/h9pZRSpVERvfefB4YZY240xrQ2xkwA4oCJAMaYycaYyZ6TjTEtjTHXGmNaGGPONMZ8ArQDxlRA2oMiOtpugQL/k0/apXWXLoUXXwx8fUiI7R+g4/eVUkqVRrkHfRH5FLgbeAhYBpwN9BeRzbmnNM7dPJzYYX5/AtOBcKCHiGwqnxSXjXr1bE98d766iurV4YUX7PcvvGCDfyCe8fsHDpRlKpVSSlUmFTIjn4i8KiJNRSRMROJFZI7Psd4i0tvn9WoR6SQikSJSXUQuEZG1AW98EgkJsdX8R44UPHbWWXDzzTZTcOedBcf3e0RH246BhR1XSimlfOnc+xWoWjXbIS//2H2A+++3Q/k2boRHHw18vWd+/u3bISurTJOqlFKqEtCgX4E8C/JkZhZsmw8Ph5deshP6fPghTJkS+B4ul+0cuH17waYCpZRSypcG/QoWFgZ16wau5m/TBh580H4/alTg2frAZhAyM2HPSTeAUSmlVHnSoH8CqFEDQkNt4M7v+uvzFuW5667Cp+GNjrad+nRhHqWUUoXRoH8CcDhsNX9GRsFqfmPgf/+ztQHz58PLLxd+n+hou0SvLsyjlFIqEA36J4jwcDtbX6Bq/jp1YMIE+/1//wuLFwe+h2fiHu3Yp5RSKhAN+ieQWrVsx7xA1fy9esGIEbZ6//bbC6/GDwmxtQM7dmjHPqWUUv406J9AHA671G56euCZ9h54ADp2hG3bYOTIwmfji4iwGQedsU8ppZQvDfonmIgIW50faMKd0FB47TU7vv/nn+Httwu/T1SUXc1PO/YppZTy0KB/Aiqqmr9xY9uuD3ae/mXLCr9PTIwt7QfqJ6CUUqrq0aB/Aiqumr9/fxg+3HbWu/VWW6IPxHfGvkCz/imllKpaNOifoMLD7aI8hZXSH34Y2reHLVvg3/8OnDkQEVwu2yxge/RrA79SSlVlGvRPYJ5JewKV0sPCYOJE274/dSq8/rr/8eXLl7N48WJEhNBQcLuFH35YzKJFieWSdqWUUiceDfonME81f2Zm4OF3TZvmLcP79NOwYIH9XkTIyMhg7dq13sC/cuVikpL+Jjk5B7dbS/xKKVUVadA/wYWF2SV4U1MDHz//fLjtNjt+/9Zb7VK7xhgSEhJo1aoVa9eu5cMPP2Tt2rV06HAqLVp0ISXFlO+HUEopdULQoH8SqF7d9sQvbHrd+++H7t1twL/1VsjOhhUrVgC21O/7ddOmFezeDYcOlUvSlVJKnUA06J8EjLGd+tzuwAvuuFzw6qu2RmDBAnj6aVu9v2TJEtLS0hAR0tLSWLJkCZmZGURGCjt26Bz9SilV1WjQP0mEhNhFeQrrzV+vnp24x+WC1183zJ1by3vMGP/qfKfTDuXbti3wXABKKaUqJw36J5GYGKhZs/DA37UrjB1rv3/xxSYcOtSKV1+9gmeeGURS0hlERcWxZ88ejDG4XDaDsG2bbQ5QSilV+WnQP8nUqWNL6oWV0IcPh8svFzIzXbzwQi/27o3hwIFovv8+njFjLuSrr0719t4PC7Pj+7dvD9xsoJRSqnLRoH+ScTohLs6O3Q80jM+2/wvGuAGD/REbsrJCyMlx8csvzRk3Lm/Inmdxnp07dXEepZSq7DTon4Q8s/UFGsaXkgJvv20QCfyjzcoK4fXXjd/UvVFRtslg924N/EopVZlp0D9J1ahh2/jzr8b344+2NqAoTif88IP/vuhoOHAA9u0LajKVUkqdQDTon6SMsUP0wL8j3u7dxQ/FO3rUnpdfTAzs3avL8SqlVGWlQf8k5nLZ9v20tLxq+Xr1bDt9USIi7Hn5GWNL/MnJcPhw8NOrlFKqYmnQP8lFRtoA7gnSAwYU3xM/OxsGDgx8zOGwgX/79oJNB0oppU5uGvQrgZo1bWe8o0dtW/8tt0BISOGD75s2tavzFcZ38h6dtU8ppSoPDfqVgDF2NT4RyMqCUaMMl122D5crJ3fonhASkonTmYPL5WbdOsP48UXf0+Wy4/i3bg28tK9SSqmTj6uiE6CCw+WChg1h82aIjhauuGILp5wyhdWrm5ORUYOwsBTatNlAaOhZPP10C154wdC0Kfzzn4XfMyTEZiS2boXGjSE0tNw+jlJKqTKgJf1KxNNBLzUVkpOTiYjI5MYbI3n33Q7ceGMk4eGZNGy4hscft+ePGmUX6ClKaKit7t+2zdYiKKWUOnlp0K9kataEmBhDTk4Y9erVIz4+HmMM8fHx1KtXD5fLxfDhhhtusEH8hhtgw4ai7xkWZr9u3arz9Cul1MlMg34lY8fvC/Xq1SElJY3ExEREhMTERFJTU6lbty4iwtix0LevHZN/7bXFT8oTHm6r+nWBHqWUOnlp0K+EXC7DRRd15tRTT2f16nV8+OGHrF27ltNPP52EhASMMTid8Oqr0LYtbNoEw4YV31M/IsIOB9QFepRS6uSkQb+SCg839O/fmcxMl3fiHk/A94iKgsmTbQfAJUvg9tuLD+YREbakv22bBn6llDrZVEjQN8bcZozZaIxJN8YkGmN6FnP+VcaYZcaYNGPMTmPMB8aY+uWV3pORiJCUNJ+oqAwyMuwgjcWLFyP5VtSpXx8+/BCqV4eff4aHHip+0Z2ICNsfQAO/UkqdXMo96BtjhgATgKeBTsA8YKoxpnEh558FvA+8B7QFLgHaAB+WR3pPRiLC/PnzSUpKomvX0xg2bAhNm7Zm7dq1AQN/ixbw7ru2w97kyfDKK8W/R2SkDfw7dmjgV0qpk0VFlPRHApNE5E0RWS0idwLJwK2FnN8d2CYi/xORjSKyAHgJ6FpO6T3pGGMICwujXbt2nHVWd+LiDJ07d6Z589MJCwvzq+L36NoVXnzRdgT8z3/g00+Lf5/ISDtxjwZ+pZQ6OZRr0DfGhALxwLR8h6YBPQq57HeggTHmImPVAa4AppRdSk9+8fHxdO/eHWMMLheccoqhfft42rbtUOg1AwfCY4/Z70eNgmn5f0oBaOBXSqmTh8lf1Vumb2ZMHLAd6CUic3z2PwJcLSKtCrluMDAJiMDOIjgdGCQiBfqbG2NuBm4GiI2Njf/kk0+Clv7U1FSio6ODdr/y5nZDZqadbKco777bjI8/bkJoaA7PPLOcdu0OlujeDoedxe94nezP+WSiz7p86HMuH/qcrT59+iSKSEKgYyd80DfGtMEG+ReAn4EGwDhgmYhcV9T7JSQkyOLFi4OW/lmzZtG7d++g3a8i7N1rx+THxBR+jgjcf39eB78vv4TWrYu/d1qaDfqNGhWfsShKZXjOJwt91uVDn3P50OdsGWMKDfrl3aa/F8gBYvPtjwV2FnLNaOAPERknIstF5GfgNuBaY0yjsktq5VS7tl0698iRws/xtOv37w8HD8LVV9s5/YsTGZk3nE8n8FFKqRNPuQZ9EckEEoHz8h06D9uLP5BIbEbBl+e1zjNQSsbYYXohIUVPxuN0wksvQffusGsXXHEFJCcXf3/f4Xwa+JVS6sRSEUHzeWCYMeZGY0xrY8wEIA6YCGCMmWyMmexz/vfAIGPMrcaY5rlD+F4ElojIlnJPfSXgdNoJeTxL8RYmPBwmTYJOnWDLFrjyyuKn6wVb4s/JsdfoIj1KKXXiKPegLyKfAncDDwHLgLOB/iLiqUBunLt5zp+EHeZ3B5AEfAGsAwaVV5orI0/be3p60b3uo6Ph/ffh9NNh/Xq46io4dKj4+0dE2K9bt9rOg0oppSpehVSPi8irItJURMJEJN63U5+I9BaR3vnOf0lE2opIpIg0EJGrRWRbuSe8kgkPh7g4275fVH/OmjXh44+haVNISoLrrrOd9kpyf2NsiT8jI2jJVkopdYy0TbyKi4mBevXg8OGiz6tXz07YExcHixbB0KHFL9ADdpY/l8sG/vT04KRZKaXUsdGgr6hZ027FBf5GjWzgj42FefPg+utLFshDQ+22ZUvJagiUUkqVDQ36CmNsST46uvig3Lw5fPYZ1KkDc+bATTeVrOo+JMRW92/ZUnzmQimlVNnQoK+Akg/lAzjtNBv4a9WCGTNgxIiSddZzuexyvtu32/H/SimlypcGfeXlGcpnTPGl91at4JNPoEYNmD7dBv6SlPidTlujkJxsh/+V44SQSilV5WnQV35cLtt2n51d/Bj7tm3zAv+0aSWv6nc4bAfCPXtg924N/EopVV406KsCQkPhlFNsAC9uVr327W3nvho14Ndf4cYbS9a5zxioVs1W8+/YYRfsUUopVbY06KuAwsNtVX9aWvEBuV0728Zfs6Zt47/hhpIN54O8zoNbt+q0vUopVdY06KtCRUXZcfmpqcUH/rZt4fPP7YI+s2bZcfxFLeqT/32ys3USH6WUKmulCvrGmG7GmEeNMT8ZY5YbY9YbY+YbYyYZY4YbY2qWVUJVxahWzY7LP3y4+Lb31q1t4K9XD37/3U7ZW9Je+hERtsp/82at6ldKqbJSoqBvjBlqjFmBXQnvHuzKd+uBhcABoCvwFrA9NwPQrIzSqypAzZp5s/YVF/hbtYIvv7Q1BIsXw5AhsH9/yd4nLMw2K2Rmlmx+f6WUUqVTbNA3xiwHngGmAPFADRE5R0QuE5FrRKS/iLQGagE3AfWAVcaYIWWZcFW+ate2W2pq8ec2bw5ff23n6l+xAi67zC7PWxIulx3Wt2MH7N2rPfuVUiqYSlLSfxtoJiL3i8hSkcD/hkXkoIh8KCL9gW5AShDTqU4AderYXvolmVGvUSP46ito2RLWrYNLL7VV9yUVE2PH8ScnF70KoFJKqZIrNuiLyAQRKdVSKSLyp4j8fOzJUiciz3S91aqVrMQfG2ur+s84wwb8Sy6BVauKvsaTpzTGBv7UVGHr1uLnDFBKKVU87b2vSsUYG8yjokoW+GvVssP5evSwE/FcfrldpS+Q5cuXs3jxYu9rEWH16sX8+ecKNm8u+TBApZRSgZU46BtjLjHGvGuMWZjba3997vfvGmMuKcM0qhOMwwENGpQ88EdHw/vvw4UX2t78V1xhJ/LxJSL8+eefLFy4kLS0NESExYsXs3DhQtasWYbLJWzerB38lFLqeJSkI19NY8xc4CugD7AXWJC77QV6A18ZY37XIXtVhyfwR0aWbDx+eDhMnAhXXmln7Bs+3M7k5yEiREVFkZWVRWrqET788EMWLlxIVlYWUVFRuFxCdLTt4Ldnj3bwU0qpY1GSkv5/gcZALxFpKiIDROTa3G2AiDQDzgEaAuPLMrHqxOJw2KF54eHFL8kLtmf+uHFwxx22c97IkfDCCzaAOxwOLrnkEho3boyIm927d5OZmUnjxo255JJLcDgc3jn7DxyAbdt0Bj+llCqtkgT9i4F7ReS3wk4QkbnA/cAlQUqXOkl4An9YWMlK/MbA6NHw1FP2+3Hj4IEHbABfsWIFxhj276/Fp5/+ExHBGMOKFSv8ro+OtmP5N28u2Tz/SimlrJIE/TDsBDzFSQFCjys16qTkdOaV+Es69e6wYfDmmzaz8MEHcMMNwsKFK9i4cWPuGQaAjRs3snTpUtz5pumLiLDvu3lzyWf9U0qpqq4kQX8+8KAxJqawE3KPjcbO2KeqIKfTLtATEVHywH/hhXlL8/7yi+H1189n376auN0OUlOrk5TUgfT0MI4ePUqg6SFCQ21nwuRkO/mPTt+rlFJFc5XgnLuBWcBmY8yPQBJ5Jf+aQFtgAJCD7einqihPVf+OHbZXf3R08deceSZ8+y1cdx1s3lyX994bTp06i0lJiWbmzF7MmNGHXr1Wc8stzkLf07NE79Gj9v1Dtb5JKaUCKsnkPKuAM4D3gO7A08DE3O1p4CxgMtBRRFaWXVLVycAT+Es6nA/gtNOgXz/BGAEMr7zSCTBkZYWSne1i7tw2jBtXdHf96Ghb0t+0qeTvq5RSVU2JxumLSLKI3CMipwFR2J76DYFoETk199iOskyoOnl4hvPFxJRsyt6UFJg8GURsO356un8FVEaGk4kTi2+7Dw+3zQvbttlhfVrdr5RS/ko9I5+IpOdmApJFROdIUwE5HFC/ft5c/UWNq//xR9snwOMf/yg4Sb/TCT/8UPz7Op15w/q2brW9/JVSSlklmZxncGlvaoxpYIzpdmxJUpWFZ67+WrWKDvy7d8PRo8b7+sILNxY4Jy3NsHt3yd83OtrOBbBpU8lqG5RSqiooSUn/JWPMMmPMLcaYWkWdaIzpaYx5A/gL6BCUFKqTmjF2db46dWzwDVTlXq8eREQU3WZvjJR6Fj5Pdf/27TZjodX9SqmqriRBvwV2Ct7HgV3GmOXGmPeNMc8bY/5jjJlojJlmjNmP7eXfAjhPRN4ou2Srk4kn8MfG2k52+YPvgAGQk2MCX5xLxDBxIvxcyrUbPdX9KSmwZQtkZJTueqWUqkxK0ns/TUQeBxoB1wCJQDxwPXAPcBHgBCYAbUWkj4joeH1VQM2atmf/kSO26t2jRg245RYhLCwn4HWhoTm0aCEcOQLXXw/PP1+6Urunul/EVvenpOjc/UqpqqnEHflEJBP4FbhVRNqISA0RCReRhiLyDxF5TETWlF1SVWVQrRo0amTn6s/Kyts/apRhxAhDSIgn8AshIZmEhORwyy2GGTMMY8bYAP7f/8KNN5Z+xb2wMDuUcOdOO5eAzt2vlKpqStKRz2mMedQYcwDYBRwyxnxpjKlR5qlTlVJUFDRpYnvW51W3C61b/8Bdd72Hy5VDzZqpnH/+fO6++z1at/4BY4Tbb7dL9Favbqv5+/eHNaXMZnom80lP1zH9SqmqpyQl/VuAR4Cl2FX0vgUGAf8rw3SpSi483AZ+ETuTHtjldUNC0qhb9wAPPPAtnTuvweVK85uCt08fO8SvdWvYuBEGDoSvvy79+0dE2Jn7tm2zU/jmBG5ZUEqpSqUkQf8m4E0ROVdE7heRfwK3A9cYY3TCU3XMQkOhcWO75O6RIxAXF0dISAiAN9CHhIQQFxfnd12zZvD993DZZTbDcMcd8PDDpR+T73LZUv+hQ3bhnqM664RSqpIrSdBvDnyeb9+n2M57TYKeIlWluFy2jT8qypCdHU6nTp1xOBwYY4iMjKRz586EhYVhjH/v/ogImDABnn4aQkLgnXdg8GA7IU9pRUXlrdinM/kppSqzkgT9aCB/lynPdCeFrrxXFGPMbcaYjcaYdGNMojGmZxHnTjLGSICthGu5qROdZ2nemJhs1q1L9ju2devWgCvsge3UN3Sord5v1AiWLoXzzy/9sD6wGQfPTH6bNmmpXylVOZW0935DY0xzz4Yt/RfYn3usSMaYIdjhfU8DnbDL8U41xjQu5JK7gAb5tg3AZyVMuzoJiLjZu3c1hw6twxgn//d/VxEdHc22bdvYsGED7iKK3506wU8/wXnn2fn5r78eHnus9NX9nqF9DoeW+pVSlVNJltYF+KKQ/d8E2Bd4DdQ8I4FJIvJm7us7jTEXALcCo/OfLCIHAe9SK8aYs7CZjmuLeR91EnE4HLRs2RIAY7KZPPlzXK4cTjnlFJo3b47DUXT+tGZNePddeP11W+X/xhuwcCG88ortA1AaoaG25H/ggJ1FsH59iIw81k+mlFInjpIE/eHBerPcjn/x2FEAvqYBPUp4m5uAlToBUOWTkJBA586d+eqrr6hd+zApKVH06zeIqKiSVUgZA7fcAgkJcPvt8Oeftrr/mWdse39peEr9WVl2Jr+aNe2sgs7isrRKKXUCM4W1l5bJmxkTB2wHeonIHJ/9jwBXi0irYq6vDiQDo0VkQiHn3AzcDBAbGxv/ySefBCv5pKamEh0dHbT7qYKOHDlCZmYmOTk5iEBISCQREZEUU9AvIDXVxQsvtGTOnHoA9O27kzvuWE9k5LGNzfNU84eEUOq0nMj0d7p86HMuH/qcrT59+iSKSEKgYyWt3j9RXIPth/B+YSfkzvn/BkBCQoL07t07aG8+a9Ysgnk/lUdEmD9/PuvWraNhw4b079+f+fPns3x5Eg0bduS007oQE2NKFXA/+gg+/tgO5/vll/qsX1+fCROgS5djS2N2tp1JMCbGLhIUEgKJiYlkZGTQvXt3jDHezxEWFkZ8fPyxvVE50t/p8qHPuXzocy5eeZdZ9gI5QGy+/bHAzhJcfxPwpYjsD3bCVMUyxhAWFka7du2IiorCGEP37t3p0KEdcXFO4uIMqan+U/cWf0+46irbya9dO9s5b/BgGDeudPfx8IzrT0+3EwMdOCCkp2eQlJTE/PnzvQE/KSmJjIyMQkcdKKVURSnXkr6IZBpjEoHz8B/7fx7wZVHXGmPOBM4A7i6zBKoKFR8fj4gwe/ZsAG/g94zRDw21y+RmZ9tx+iXVooWdzGf8eHj1VXjhBZg1C158EU49tfTpjIiw1f179hji4rqTmWlISlpBUlISAO3atfNLt1JKnSgqonXyeWCYMeZGY0xrY8wEIA6YCGCMmWyMmRzgupuB9SIyq/ySqspb/kDp+zoiwk7dGxJi58wvTUE6NBTGjIHPP4eGDWHZMujXD95669iG5TkctqNfUlISycmhHDwY7l0eWERYsmRJ6W+qlFJlrNyDvoh8ii2tPwQsA84G+ovI5txTGuduXsaYGOAK4K1yS6g6IYWE2Il4qle3w+lKO2d+9+4wfTr885+2mn7sWPi//7M99EtLRHC701mzZjEHDmSxb18Me/ZksGDBQtLT07V6Xyl1wqmQfsgi8qqINBWRMBGJ9+3JLyK9RaR3vvMPi0i0iDxX7olVJxyHA2Jj7Sx+R4/6rtRXMtWr2yr+d96xw/Dmz4e+fWHy5GOdjEcICcnG6czm8OEo9u+PITOzEnXxV0pVGvqfSZ20qlXLW6kvLa30159/PsycCQMG2AV/Ro+GIUNsh7+SMMawZ88eYmNjiYiIwOmEGjVc1K1bj6Skw+zebcjOLn26lFKqrGjQVye1sDAb+KOi7Gp5pS2p16plZ/F77TX7/bx58I9/wNtvF38vEaFu3brs3r2bo0ePIiIcPXqUAwd20rhxTQ4dEjZssDP76XS+SqkTgQZ9ddJzOu1UuQ0a2BJ7aav7jYGLL7Y9+i+5xDYZPPKI/X7t2pLd4733BvLGG+f57YuMtNuePXYRnyNHStf5UCmlgk2DvqoUjLFt9U2b2tdHjmENxtq17Vz977xjJ99JTLRNAOPG2U5/Bd/Tzi3QuXNnnLnz80ZFRfktB+zp5e9y2WV/t24NfC+llCoPGvRVpeKp7q9WzVb3l7Z3P9hAP2sWXHONncTnhRfs8L758wue2759e1JTnRw6FMGBA1EsXHgaqalO2rdv73eeZ2KfnBzbZyA5ufSrACql1PHSoK8qHU/v/oYNban66NHS36N6dXj2Wfj6azjtNPj7b7j8crjrLti7157jdgv33LODYcM6sG9fNQ4ciObHH7swbFgH7rlnB253wbr8sDA7jW9amp3Vb+9etLOfUqrcaNBXlVZMjK3uDw21Y/qPpT39zDNh2jS4914bsL/4Anr1gvffh3HjDN9+G0t2tgsRAxgyMpxkZ7v49ttYxo8vfEa+iAhb7Z+S4pnSVzv7KaXKngZ9Val5JvOpW9cG/mOpUg8Lg3vugV9/hd69baB+4AF46SUhMzPwTNaZmS4mThQOHiz8vsbYjn4REbbEv3HjsY1AUEqpktKgryo9Y+xwvKZNbWn/WHvRN2sGH3wAEyfa9nlbui+c0wk//FD8fR0OO+QwNNS29W/adOw1E0opVRQN+qrKCA+3nfxq1rRB9VhW2jMGLroIhg0r/tyjRw27d5f83k6nbZJwuWDHDlvy12F+Sqlg0qCvqhSHw06926SJ7Ul/rEG1USOIjCz6wogIoV690t/b5bLB3+mEbdt0jL9SKng06KsqybNiX40ax1bqHzCg+OGAWVkwcOAxJ5GQEBv8HQ4b/Ddv1uCvlDo+GvRVleV02g5+nlJ/aZbrrVEDRowQQkIKzy3k5MB//wv79x9fOj3B35i8kn9plxZWSinQoK8UERG2k1+tWjaYlnQa3/vuc9Cv3yZcrmyMcWNX28vE6cymUaODiBjefhvOOst2/jvemfjyl/w3brS1FNrbXylVUhr0lcK/rd+YkgZTYeDA1dxxxzvUrHmQGjVSOf/8+dx559s8+OBsfv5ZOOccOwzviSfs+P4vvji2WQJ9hYTY0QOeDn+bNsHBgxr8lVLF06CvlA9PD/969eyseUXN5iciHDhwAJfrCDVrZnP66dGcf/4+XK40Dhw4QOvWwscfw4cfwumn29L5XXfZaX5/+eX4q+c9Hf5CQmDXLrwr+h1vpkIpVXkFnllEqSrMGDusLyrKrpB36JCdRMeV76/F4XDQsWNH/vrrL2666SeMMRw5IjRu3JjTTjsNh8PmqXv3hp494csvYfx4WL0ahg6Fbt3g/vvtrH/Hw+m0s/u53Ta9e/bYporq1W2GQCmlPLSkr1QhQkPt/P2NGtme+IF6zhtjaNy4sd++xo0bY4z/xD1OJ/zf/8GcOXbZ3ho1YMECuPRSu7DPn38ef3o9K/pFRdkS/4YNsHOnruqnlMqjQV+pYkRH245+nkl9PEFURMjIyGDJkiWkpaUhIqSlpbFkyRIyMjKQAPX34eEwYoRdse+ee2yAnjkT+veHG2+EVauOP73G2PtGR9uMyubNsGWLDvdTSmnQV6pEnE7b0a9ZM1tlfuhQwdXx8pfui1Ktml3EZ8ECuPVWmxmYOhXOOw9uvtk2ARwvY+zIhJgY287v6fF/8KC2+ytVVWnQV6oUwsJsdX/DhpCdbcjJCadjx85ERUUBEBUVRefOnQkLCytRJqBWLXjoIZg3D264wd7/xx+hb18b/INR8vek2zPFr6fT3969WvJXqqrRoK9UKRljA2izZtCrVzvS051kZjr9zmnfvn2p7hkbC48/XjD4n3ceDB8OS5cGJ+0ul632j4gQUlLsqoPbtsGRI6IZAKWqAA36Sh0jY4S1a+eTkpJIhw6ncdFFV9O8+emsXbuWxYsXB2zTL079+v7BPzwcpk2z0/leeaXdf7zBefny5SQmLiYiQnA4IDNT+O67JXz33QoOHCjYbKGUqjx0yJ5Sx8gYQ1hYGGec0Zbu3RNITzdERsaTleXA5XKVqo0/P0/w/9e/4M03YdIk2/N/zhzo1Aluv92O93eUMtsuImzatInk5GTADkVcsWIxa9YsITa2Abt3t2P3bkP16nbIX3i4rdlQSlUOGvSVOg7x8fGICMYYIiKgcWND7dqd2L3bcPiwDapOZ/H3KUydOjB6tO3s9+678Pbbtqr/xhvh1FPt/ksvtcG5NLKysliyZAmtW9dl9eq1ZGVleYf8ge3pf/Cg7bRYu7YdDZB/ngKl1MlHq/eVOk6+JXpjIDra0LSpLa1nZNj5/I93itwaNewQvz/+sFP6NmwIf/9tRwB06wYvvFDyhX0aNGiAy+UiLS2NnJxs0tLScLlcNGjQwPsZPL3+PR3//v7bTvl79Kh2/lPqZKZBX6ky4HDY6vFmzWxpPS3NbscbMCMj4frr4fff4cUXoW1bOwPfuHHQpYutFfjrr8KvN8awe/dujhwJ4a23hrJnT22WLWvLkSMh7N69u0CThKfjX3S0nZ9gyxY77G//ftsJUCl1ctGgr1QZcjrtsLzmzW0m4MiR4AT/kBC47DL4+Wf45BM491wblCdPtgv7XHutbf/P/z7Z2Tl89FFDJkwYysGDNcjJcTJ7dm8mTBjKRx81JDs78AB+Y2wTgmeu//37bfDfssXWZOi4f6VODhr0lSoHLhfUrWtL/tWq2UAZjKpyY+y8/u+/DzNmwNVX2+A8Y4bt7d+nj+0EmJpqz3/+eQfz5rUjJ8eFiP3zz8oKJSfHxbx57Xj++eL/JTidtsYhJsY2W2zfbqv/d+7U6n+lTnQa9JUqRyEhdgW/Zs1slXmwgj9Aq1bw3HOwaBE88IDtU7B+PTz4IMTHw333wauvQmZm4B55mZkuJk60HfhKKjTUBv+oKFuLsWVL3sQ/GRnH/5mUUsGlQV+pChAaaifk8Q3+waj2B9uccOeddorf116Drl3t/T/8ELKyih5/53TCDz+U/j19O/+FhUFKip3z37Pcr7b/K3Vi0KCvVAXyDf4xMcEN/iEhcPHF8NVXMH06dOgA4H/jqVOb+b0+ehR27z6+93U4bPV/dLRt1ti717b/b9pkaxGyso7v/kqpY6dBX6kTgCf4N2+e1+aflnb8Q/082rSxS/hGRPjv//XXJn6vw8Nt80OwuFy26j8mxtYGeOb937JFMwBKVQQN+kqdQDxt/qeeasfmHz0avN7xAwaA2+1fvd+5806/10ePGlauDM4qf/mFhNjSf0yMrcnQDIBS5a9Cgr4x5jZjzEZjTLoxJtEY07OY80ONMY/nXpNhjNlijPlXeaVXqfLmctnx/c2b217/mZlw+PDxzYtfowaMGOEmJCQvul511RqfM2zV/3vv2VX++ve3Pf8PHDj29yxMYRkATxOA9gFQqmyUe9A3xgwBJgBPA52AecBUY0zjIi77BLgAuBloBfwTWF7GSVWqwjmdULOmbfNv0MAG/UOHjr1n/H33OejXbxMuVzbG2LaDkJBMXK5s+vf/ix9/hOuus00Mf/5pe/537gw33WQX/imL0rhvBsAY26dg40abCdi/384/oMMAlQqOiphNeyQwSUTezH19pzHmAuBWYHT+k40x/YB/AKeKyN7c3ZvKI6FKnSgcDhuIY2Jslf++fbbk73KVdlEc4aabUujc+XOWLo2jWrWjnH/+fDp12k58fAvOOEPo2NHwyCPw00/w+ed2kp8pU+xWq5btHDh4sM0MBHsxnpAQu4Ft0ti/38446HRCTIwQE2MID7fPw7PmgVKq5Mo16BtjQoF4YHy+Q9OAHoVcdgmwCBhpjLkOOApMBcaISGoZJVWpE5Ixtmd8ZKQt7aek5I2rj4gofnEfYwyhoaHExobTs+dWqlWLpGfPfURFRREaGuoNohERdiGfSy+F5GT4+mubAVi3zlb5T5oETZvCJZfYrUWL4H9WzyRAAMuWLSc1NZMzzojH4TBERAirVi2kevUQunaND/6bK1VJmWNZ8/uY38yYOGA70EtE5vjsfwS4WkRaBbjmJ6A38CvwOFADeAlYLiKXBzj/ZmwzALGxsfGffPJJ0NKfmppKtGcZMlVm9DmXXk5OXnu/MUWXwNPS0khPTyc8PByHw43b7fC+jvRE2QBE4O+/o5kxI5YZM+qxf3+Y91jz5qn07r2bXr1206BBerA+lldKykGysrKIiookMjKS1NQ00tKOEhISQo0a1XA6ben/RC346+90+dDnbPXp0ydRRBICHTsZgv40oCdQX0QO5u7rB/ycu29XYe+XkJAgixcvDlr6Z82aRe/evYN2PxWYPudjI2KH+e3bZ5sAnE5bYs8fCJcvX05GRgYJCQmsWjWbNm16sXjxYsLCwuhgB/MXKycH5s2Db76x1f6HDuUd69gRBg602ymnBONzCYsXL2bJkiUAREZGkpaWBkDnzp3p2DGBrCxDTo4N/FFRtikkLCyvqaCi6e90+dDnbBljCg365d2mvxfIAWLz7Y8FdhY8HYBkYLsn4OfyDChqDBQa9JWqSoyxAS8qylb9Hz5se9673bbdP5gB0Om0c/737AlPPw2zZ8O339rOfsuW2e3JJ20GYMAAuPBC2xnx2D6XbZKoV68eW7ZsISMjAxGhcePGhIaGEhJivJ9NxHb8S02134eE2AxAZKTNBBTX/KFUZVeuQV9EMo0xicB5wOc+h84Dvizkst+Bfxpjon3a8Fvmft1cNilV6uQWFma3WrXsnPiejn8Oh3D0aAbr168FbDBcvHgxa9eupVWrVsfUOS4sDPr1s9vRo3axnx9+sLMAejIATz0FrVvbYYAXXGC/L+nbiAjLly9n3759fPzxZYDhiis+Z/PmzaSmptKhQwdvmj2rAXrk5Ng+D/v329eelQIjIuyESA6dqURVMRXRe/954H1jzB/YgH4LEAdMBDDGTAYQketyz/8IeBh41xjzKLZNfwLwhYgc54ShSlVuDocNcjExntK/oV27BDIynKxcuYZTTw1n8+ZttGrVioSEhOPuDR8RYUv2AwbYDMDMmTB1qs0ArF5tt//+Fxo3hvPPt1uXLnYUQmHcbjdZWVkcOeIiNTUKt9vJsmVtadlyHdWqZeF2u3EWUoT3NHF4ZGXZaYE9rZpRUXa4YHi4zQQEu09A/kyUjjhQFa3cg76IfGqMqQ08BDQAkoD+IuIptTfOd36qMaYvtvPeIuAA8A3wQLklWqlKIK/0b2jQoBMvv7wKt9uQkeGkU6fjD/j5RUTYkn3//jbD8fvvNgMwbZqdhe/NN+1Wowacey6cdx707m2r430Z42DmzARmz26D2+1AxDB7dm9mzjyXXr1WMWxYyYvrvkMCRewkQLt32+89zSPR0fY5HW8mIDExkYyMDLp37577fsL8+fMJCwsjPl5HHKiKURElfUTkVeDVQo71DrBvLdCvjJOlVJVgjLB8+Xxq1UrD5QonOjqdhQuX0L59Z0JCTCnH/ZdMWJgN7OeeC888A0uW2HkAfvrJzsL31Vd2c7nsqoD/+IfdTj0Vxo+HuXPbkJOT9+8qKysUsPvHj7fLBpeWMXkZIbCBPyPD9gfwHPcsHOTpE1HS5gARISMjg6SkJO+++fPnk5SURLt27bTErypMhQR9pVTF8JQ2PcEnMzOThg3jWLEikeTkTNq06cahQwa32wa5sLDgZwCcTlul36ULPPQQ/P23rf6fPh0WLbI1Ar//Do8/bnv/b98Obnfgf1WZmS4mThRGjIDq1Y8vXYEyAb41AWBrL3ybAwrrGGiM8Zbwk5KSqFWrFvv376ddu3Z0795dA76qMBr0lapCjDGEhYV5g8/s2bO9wSksLJTYWEPdurY9/uDBvFJvaKjdgp8eOO00u916q+1wN2cO/Pqr7Q+wdStA0QHS6bQdB6++Ovhpy58J8PQJ8Kx+GBpqMwGRkfZ7lysvk2SMoVu3bn6l/W7dumnAVxVKg75SVUx8fLxf9bKnVOp57RnrHhVle78fPWpn/ivrDADY0QaeWf5ycuCBB+Cjj4SiAn9amp2nv6wZU/Cze9ZC8IwO8MwiGBUFSUmJbNy4zu8en3zyCS1btiQhIeAQaqXKnA5YUaoKyl/aLKz06XTakmyjRnbFv/r1babg8GGbCSjL1fCcTjvOv4hJAnMZJk6EXr3sAkFTp9pMSnlwuWyVv2eERHi47ReQnOxmwYLtLFmSQlpaPWrUqIPLVYO//trKmjXrcHuqClRQ5J9krjwnnTvZaElfKVUiLpftWV+tmi3hpqXZ4Hr4cOBScDAMGAAPP1z0OQ6HEB5u+Osv+Osvuy6AMdCmDfToYbeuXY+/zb8kHA5Pk4CDNm2aEB6ew6FDqezd62bbNjdRUa2JiGjK1q0OoqJshsEzokBr/Y+NjpIoHQ36SqlSC5QBOHTIZgAgeJ0Aa9SAW24xvPGGcPRowZtFRAg332y45x47CdDcubYTYGIirFxptzffzMsEdOsG3bvDmWdC7drHl7binHHGGbRv356PPvood9KgbIYMGYjD4SAry3/SILC1BJGReSMFSjNaIJhOprkFdJRE6WnQV0odF98MgKcPwKFDeVPhulw2A3CsAezee4UdO3bw9dex5OTYcfohIdmIGAYO3MW998bhcBjviIB77rFpSEy06wPMm2czBJ5MwNtv2/uedpqtATjzTHtd48bBLW2LCImJiX77EhMTSUhI8Js62J5rM0/5MwKhoTYj4FsjUJZTCfuWmo0xJ3ypWUdJlJ4GfaVU0Hj6AERH2x7unnnwDx3CuyBOaGjp1gFwOAz9+v1Jy5YHmDhxIG63g969k2jTZgNNm9bE4WhY4JqICDj7bLuBzQQsWQILFsD8+bB0Kd7mgA8/tOfUqwcJCXlbu3Z5PfdLy7NIkGd648jII4SHn8LatXb64/yzHxrjP3GQR3a2rT1JSckbNhgSYmsDIiJs+lyu4DQP5C81d+/e/aQoNXsCv29pXwN+4TToK6XKhMNhS6mRkVC3ru30l5ZmS7OlaQZwu91kZGSQlbWXxx6bwaBBg/j2251s2bKXjIxI3G43jmKqESIi4Kyz7AY2LStW2HkBFi6ExYvtePwpU+wGNnPSrh3Ex0PnznZr2LBkwdUzNLJVq1Y880wCQ4fO5qKLbI/9sLCwEgckl6vgFMVut+0seORIXkbAk96IiIK1AiWNfflLzZ4geqKXmj21Eb7mz59/Qqe5ImnQV0qVOd8x7zVr2hKspxbg8OG8aXAD1QI4HA6aN28OwJEjR/joo48AaNy4Mc2bNy824AcSGmqDeXw83HKLff8NG2zwX7TINg2sW2drB3JX9AVs5qVjx7ztjDPs5wmkQ4cO5OTk4BluaIyhc+fOha4TUFJ5nQX992dn2+d58GDe8/Q8U09mwJOJ8J1PwNeSJUsC9oRfsmTJCVm9H2iyqbi4OL/aCg38/jToK6XKncuV1wwQG2tLrkeP2gyApxbA5cqb9e6MM86gXbt2fPzxx957XHzxxccdQD2MsVP+nnoqDBli9x08aPsCJCba5oAlS2DPnrzZAz2aNLHBv0MHaN/ebtWrw5QpUzhwwM2uXQPIyoIPPnBjzFRq1nTQv3//oKTbV6BaAU9fgcOH7efxjBT0NLOEh+d1HHQ6hbS0dP74YwHGGKKjo0lNTWXBggV069bthKzeL3qyqZLXqFQlGvSVUhXKsxxueLgtNefk5FVfHz5smwSSkpazdetG3O68DoHfffcdzZs354wzziiTdFWvbsf+9+plX4vYdQKWLrWZgT//hKQk2LzZbt99l3dtkyZCRsbZ7NoVhYiwb18I//mPm5ycCzjvvL84/3w3TmfZd80vrK+AiH3OR47Y/hYidluy5CDJyRFERjoQCSUjw0V2dgabN++ge/cTc1hhcZNNKX8a9JVSJxTPrHaevgAZGW5+/30Nu3btoG7d5vTvP5AffviBjRu34nZD+/btj6mKv7SMgWbN7DZ4sN2XnQ1r19r+AX/+ab+uWgWbNxsgb7nAxx47y/v99OktGTHCwQMP2HuVZW/8whhTsGZABNLT9xES4mbSpEE4HE6uuOJHsrJCWb8+h/Xrbe2Ap2nB04nQ6Sy8uUCdeDToK6VOaGFhDjp0aE54eDaHDiUzY8Y7hIQYmjdvQIMGp3LkiA34ISE2KJXn2HaXC9q2tdsVV9h9e/ZAly5CVlZeFAwLyyYjw/67zclxMHWqnTkwPBxatYLWreH00/O+r1u3/D6Dr2rVqrFv3z5E3OTkCDk5h3A6DfXqRXhHZGRk2NoXT1OBp/+AZ2imZ/NkBpzO8htmaNNzYg8zrGga9JVSJ7yEhAQ6d+7MW2+9hcPhxuWCG2+8BGPsRDeZmbaq+sgRuygO5A1ly9/OXdamTbPv60kHwBNPzOW++3p7XzscQrVqhpQUW0Pw55/+96hdG1q2tBmBli1tZqBly8I7DQaDiJCTk+OdItgYu8+zX0RwOk2hATwnx37m9HT7vSczIGKDvidTFhaW11fDdzvWNOvkPKWjQV8pdcITERYsWOC3b8GCBXTv3p3QUONd7Q7wZgLS0mxv9qNH7X6Ho3ymvN29O+89PfLXPojAjTfC9dfDmjW2SWDNGrutXQv79tn5BPKNRKNOHWjRwmYAWrSwHQ9btLBrIhzvZ/KMkti58yipqVG43U6WL2/PmWfuLtEoiaKCt6cPwdGjNmOWv5bA87PxTOUcKFMQ6PPp5Dylp0FfKXVCyz8sy3fSGCg4LMsT2KOibDV5To7NBKSn24DjqZo2Jq8EGszagHr1ICLCkJZW+DkREYZ69Wxnwa5d7Zb3eWHHDhv8162zGYF162D9erus7969BTMDUVF5ow9OPdUujuT5WvyCRZbbLUyaVJevvx7inflw1qxezJzp4NJLd/H884LDcWxBNFAfAl+eTEF6uv355OQUPMdTc+PJFHimKXY6DQkJ3Rg2rCl33bWSkJD9uoRxETToK6VOaPmHZfmW7koyLMvpzBunXrOmDTCe2gBPydOzbLBvRuBYq5ztIkFFLweckyMMHBj4uDF2EqCGDeHcc/P2u92QnGwzAOvWwd9/24zAX3/ZqXuXL7dbfvXr2w6DzZvbr02b2q9Nmthn4jF+PHzzTT2ys/PCQlaWXUHpm2/qERcH991XmidRcsVlCsB+fs+Ig8OH82oLVqxYwapV29i37yyyspz8+msHDh36kY4dG9GlSydvvwKbQbBfq3J+QIO+UuqEF8xhWb4rAkZH29oAt9tmAjzNAp7NM8FNaTICNWrAiBHCa69lk5VVcL7hkJAsRoxwUr166dLucORlBvr08T+2f7/NBPhuGzbYIYY7d9otf+0A2AxBkybQoAF8/z3k5ASeHzkrK4SJE4URI8pntcJAHI68ZgCPnBw3b70VwvTp5+F2O8jJcfDjjwl89x306fM3L76YNzTS05QAeRkMT82Bb4dD38xBRSx4VNY06CulTgr5A3wwq28djry5AqrljrTzdEzzTByUlubfVl9U08B99znYvXs3X3xRh5wcz+iCTEQcXHbZPu67r37Q0g5Qq5bdunTx35+TA9u320zApk2wcaPdNm2CLVvyMgRW0c/T7TY8+yxcfTU0alRxwd/Xf//rYMaM08jJyfshZGba7+fMOZXXX3cErJ3w1Bp4mhPc7rwpjX0zB54MgCeD4Pl5+2YQfLeToQZBg75SSgXg+cceHp4X4DwZgaysvIyAp2nA00vdU4ocPz6WAQOWcOedzXA6c+jdezZDh9aid+/O5RYcnE67emDjxgWPZWfbvgObNsE77/jPMhhIVha8957dwGaOGja0GQDP17i4vNqIevXKdqheSgpMnCjeIJ9fZqYrt3bCFMiglLQUL2IzBG63/Vn7vvb9GXoyDL7THPtugTIINpNQ/ssYa9BXSqkS8s0IxMTYfZ4+Ar6jBtLShB9+mMLmzZuJjIzF4XDTrt0qli0TDh3axsUXX1zhHc1crrwMwdat8PvvFNn50OWyyxG73fb8Q4fstnp14efXr2+bDuLi/L969h9PxuDHH20nvqI4nYYffrC1E8fC07TjqdUpjidD4Kkh8mQS8i1nAEBS0goyMzPp0qUzsbGGqKjymV9Ag75SSh0H3z4CUVGeqYTdZGevJTo6jZEjf6RNm1YcPFiNPXsOsWnTXg4dcuN0Ov0CSkXmAUrS+dDpFL76ypaaReDAAdi2zW7bt9uvO3bYbft2O0mR53hhHA4b+OvXz9tiY+1Wv749Fhtrn2n+52OHRhad5qNHhd27y+/BlrwGQXA609m8eQ0A/fp1Zvny+axYsYL27duXaYlfg75SSgWZ0+nk1FObsmPHDlwuISVlL3XrZlCzppPY2Fo0a+b06y9w9Gheb3Twb0suj2l6a9SAW24xvPpqNllZBcNCSEg2t9zi8laTG5PXj6BDh8D3TE+3/QU8GYEdO+zr5OS8be/e/P0KAgsJsR0uY2NtRqBuXXuNy+U/CVJmpn/EjYiw559ojDGEhoYSFRXFunXrSE5eTmRkJtHR0YSGhpZpLZAGfaWUKgODBw8mJyeHt99+G7CT39x6663elQF9mwjA9hfIzrabZ16B9HSbIfBUD/tWNwd7ett77xV27NjF11/HkpPjRATCwux0vJdcsot7742juM5+vsLD7fDApk0LPycz05bYk5NtEN+9G3btsq937bLb7t22GcGTcfDnn54xY87xe52ebpdK3r7dTmxUu3beVqeOrUEo7xkbwZb0N2/ezJ49e8jIcBId7SQ1NZUjR44QEhJCfHy8lvSVUupkIiIsXLjQb9/ChQsLHWroCeJhYbaZIO8+eZkB3wyBp5bAc45nZrviZrErjMNh+N//4hg0aCl3330qOTkO+vRZyeDBofTu3alMglBoqO0A2KhR0ecdPWqDv2fbs8d+/eUXYdUqQcSW8J1Ot3e0BNgRB59/XvS9a9TIq7UItNWsmbfVqmU7dQYjsyUiHDjgZvLk/0PE0Lv3XNq1W0PDhgE6AASRBn2llAqy/LMIZmZmEhcXV+gsgkUpbHlc+z55mQHPksS+mYL8HciKqyUwxtC7dyeqVdsFQNeuf9G799UV3ukwIsLOJ9Ckif/+e++FkSOTc2snHDzzzBxGj+6BiIOePQ9wxRV12L/fsG9f3myG+/fbr/v22X4JKSl227Ch5OmpXt1mAmrUKLhVr5533PN99er2WHi4/Xm63cJnnzXlt98G4Hbb2Q+nTu3HlCnn07fvMi6/XIrtpHisNOgrpVSQ5Z9FcPbs2aWaRbDk7+OfIfCsPwB5U9t6Ns/oAs+Wnl5w6JnDISxblohIXtF78eLFJCQkVHjgD8QY6Nz5V+rVO8yHH16ZOzRyFq1aradRoxgGDry2yNqOnBw4eNBmAPbvz/t64EDe6wMH8raUFHu+Zyut0FCbAcjONqSktPfWUEDe7Ie//noGjz5qeOKJ0t+/JDToK6VUGQjmLILHoqTz3Xu27Gxh7tw/2LBhHePHQ/v28SQmtmH58nUcPeqgU6fOOBzG20P9WJoQgs3tdnPkyBHCwtKJjk4jJETo1GkVOTk5HDniwO12e/tQBOJ05lXjl5Qno5CSkpcZ8GQCPLUGns2zzzO8MT3dNk3YvgiBH1xWVijjxwv//retHQg2DfpKKVVGynIWweNVMFNgiI11Ub16c3r0sB3JmjfvxNy56YSEGBo1Mt4+BZ6vR4/aIJj/Y3lmp/Odua4sPrrD4SA6OpqMjAyGD/+BOnXqsXt3OOnp6URHRxe7MuCxOJaMgkd6Orz7LowfL6SnFzU8Ej7/HG666TgSWggN+koppQJyOMDlEsLCxK9zoS/PhDSeGgPP5DS+mQPPfl8i/tPX+s5aV9IMgjGGM844g/T0dNauXYsxEBUVRefOnQkPDz+hMllg2/Q9/S2KkpZW/DDGY6VBXymlFCLC33//zbZt27xNEfPnz2fhwoU0atSIzp07BwyinkBd3NA338yBbybBM5uhp0Oi77h7my7/ufA9oxQ8W7t27UlMXOzXjGKMoX379sF4LEFnl14uevbDyEg7OVFZ0KCvlFIKgIYNG7Jt2zYWLFhAUlISqbkLCzRs2PC4713SzAEUzCB4Nt+hi7Y2QVi0aAnr1v1NixatqVHjMCJN+PPPv0hLc9K5cyecTlMgo1CRi+PY2Q+LPicnB/75z7J5fw36SimlMMbQo0cPAGbPnk16ejoAvXr1okePHuVaVV7yDIIhJQUaNWpM166dmTt3NoMGdWb+/CxCQgz16xufjor+wxvzNzeAf62CJ6NQ2NdjVdzsh6GhWdx7b0iZdOKDCgr6xpjbgFFAA2AlcLeI/FbIub2BmQEOtRaRNWWVRqWUqopO5M6HgfiOkjAGIiIMffp0LTbdIv6r5nk2z77sbP/aBc/3hWUY8jOm4ObJNPz73wCu3FUCBRFDaGg2DoeLe+8N4fHHg/JoAir3oG+MGQJMAG4D5uZ+nWqMaSMiW4q4tC2w3+f1nrJLpVJKVS2eCYUWLFhAeHg4UVFRHDlyhAULFgClm1CovB1LRsU3EB8L3wxCoK+ezIFvhsG3yeL224V27f7ku+8yyc52Ubt2KtdcE0a/fmdWurn3RwKTROTN3Nd3GmMuAG4FRhdx3W4R2VvmqVNKqSpqW+6SeF27dqVHjx7MmzePhQsXeverPJ7MwrFMyevJYOXkJHHffe3o0aMLCxbMJynpT+bPzynTDFa5Bn1jTCgQD4zPd2ga0KOYyxcbY8KAVcCTIhKoyl8ppdQxMMZw6qmn0rBhQ28bvqeN/0Qc/nYy88zY2L59O2+AL4sZGwO+t+SfnLkMGWPigO1ALxGZ47P/EeBqEWkV4JpWQB9gERAKXAvcknuPAv0AjDE3AzcDxMbGxn/yySdBS39qairRvvNcqjKhz7n86LMuH/qcy4c+Z6tPnz6JIpIQ6NgJ33tfRNYCa312zTfGNMV2BCwQ9EXkDeANgISEBOndu3fQ0jJr1iyCeT8VmD7n8qPPunzocy4f+pyLF/w5Cou2F8gBYvPtjwVKM//QQqBFsBKllFJKlbf8Ne3lUfNerkFfRDKBROC8fIfOA+aV4lYdgeQgJUsppZQqV4mJicyfP98b6D2d+xITE8v0fSuiev954H1jzB/A79j2+ThgIoAxZjKAiFyX+/puYBN2PH8ocA1wCXBZ+SZbKaWUOn4iQkZGBklJSQDeKY+TkpJo166d3+qMwVbuQV9EPjXG1AYewk7OkwT0F5HNuac0zndJKDAOaAQcxQb/ASIypZySrJRSSgWNb2/9pKQkb/Bv165dmc+HUCEd+UTkVeDVQo71zvf6OeC5ckiWUkopVS48gd8T8KF8JkAq7458SimlVJXnacP35dvGX1ZO+CF7SimlVGXiCfieNnzfNn0o2xK/Bn2llFKqHHlm5PNtwy+vGfk06CullFLlzHd1QMhr49c2faWUUqoSqohljDXoK6WUUlWEBn2llFKqitCgr5RSSlURGvSVUkqpKkKDvlJKKVVFaNBXSimlqggN+koppVQVoUFfKaWUqiI06CullFJVhAZ9pZRSqorQoK+UUkpVERr0lVJKqSpCg75SSilVRWjQV0oppaoIDfpKKaVUFaFBXymllKoiNOgrpZRSVYQRkYpOQ5kxxuwBNgfxlnWAvUG8nwpMn3P50WddPvQ5lw99zlYTEakb6EClDvrBZoxZLCIJFZ2Oyk6fc/nRZ10+9DmXD33OxdPqfaWUUqqK0KCvlFJKVREa9EvnjYpOQBWhz7n86LMuH/qcy4c+52Jom75SSilVRWhJXymllKoiNOgrpZRSVYQG/RIyxtxmjNlojEk3xiQaY3pWdJpOFsaY0caYRcaYQ8aYPcaY740x7fKdY4wxjxpjdhhjjhpjZhlj2uY7p6Yx5n1jzMHc7X1jTI1y/TAnkdznLsaYl3326XMOEmNMA2PMe7m/0+nGmFXGmF4+x/VZHydjjNMY84TP/96NxpgnjTEun3P0OZeCBv0SMMYMASYATwOdgHnAVGNM4wpN2MmjN/Aq0AM4F8gGfjHG1PI55z7g38CdQBdgNzDdGBPjc85HQGfggtytM/B+WSf+ZGSM6QbcDCzPd0ifcxDkBozfAQMMAFpjn+lun9P0WR+/+4HbgX8BpwN35b4e7XOOPufSEBHditmAhcCb+fatB/5T0Wk7GTcgGsgBLsp9bYBk4EGfcyKAw8CI3NetAQHO8jnn7Nx9rSr6M51IG1Ad+BvoA8wCXtbnHPRn/DTwexHH9VkH5zn/ALyXb997wA/6nI9t05J+MYwxoUA8MC3foWnYkqsqvRhsLdOB3NfNgPr4PGMROQrMIe8ZdwdSsbUsHr8DR9CfQ35vAF+IyMx8+/U5B88lwEJjzKfGmN3GmGXGmDuMMSb3uD7r4JgL9DHGnA5gjGmDrS2ckntcn3MpuYo/pcqrAziBXfn27wL6ln9yKoUJwDJgfu7r+rlfAz3jhj7n7JHcbDqAiIgxZrfP9VWeMeYm4DTgmgCH9TkHT3PgNuB/wDNAR+Cl3GMvo886WJ7FFhJWGWNysDHrKRF5Nfe4PudS0qCvypUx5nls1drZIpJT0empTIwxrbDVzmeLSFZFp6eScwCLRcTTtrzUGNMC2978cuGXqVIaAlwHXAWsxGauJhhjNorI2xWZsJOVVu8Xby+2/Tk23/5YYGf5J+fkZYz5H3AlcK6IbPA55HmORT3jnUBdn+pTcr+vh/4cPLpja6ZWGmOyjTHZQC/gttzv9+Wep8/5+CUDq/LtWw14Ovfq73RwjAPGi8gnIrJCRN4HnievI58+51LSoF8MEckEEoHz8h06D/82IlUEY8wE8gL+mnyHN2L/+M7zOT8c6EneM56P7QDY3ee67kAU+nPw+AZojy0NebbFwCe5369Dn3Ow/A60yrevJXlLeevvdHBEYgtdvnLIi136nEuronsSngwbtoopE7gR2xN0ArZjSJOKTtvJsAGvAIewHXDq+2zRPufcDxwEBgPtsIFqBxDjc85UYAX2D7Z77vffV/TnO5E3fHrv63MO6nPtAmQBD2L7UPwz97ners86qM95ErANOyyyKXApsAf4rz7nY3ymFZ2Ak2XDdtrZBGRgS/7nVHSaTpYNOzQm0PaozzkGeBRbbZoOzAba5btPTeCD3AzEodzva1T05zuRtwBBX59z8J7tAODP3Oe4DjuW3OizDuozjgFewNagHAU2YPuthOtzPrZNF9xRSimlqght01dKKaWqCA36SimlVBWhQV8ppZSqIjToK6WUUlWEBn2llFKqitCgr5RSSlURGvSVqgDGmO7GmM+MMTuMMZnGmH3GmOnGmKHGGGfuOcOMMWKMaepz3SZjzKR897rIGLPCGJOee34NY4zDGPOCMSbZGOM2xnxThp+lae77DivmPM/nOa2s0nKsjDGXGGNGBtjfOzfNuriWqhR0wR2lypkx5m7s/OEzsLOJbcZOHtIPeA1IAb4t5PJLsZOLeO7lAj7ETid6O3bmyMPA5cBdwL+x05DuK3An5esS7KqZz1dwOpQqUxr0lSpHxphzsIHlZRH5V77D3+auQhhV2PUisjTfrobYWcs+E5E5Pu/TOvfbF0TEHYR0h4lIxvHeRylVsbR6X6nydT+wH7gv0EER+VtElhd2sW/1vjHmUezU0ABv51ZDzzLGbMJOSwqQ41v1boxpYIyZbIzZa4zJMMYsN8Zck+89PNXw5xhjPjfGpAALc49FGmNezW2OSDXGfAc0OobnUChjzM3GmD9zmyv2GmPeNsbUyneOGGOeNMb8yxiz0Rhz2Bgz2xjTNt95ztzzko0xacaYGcaY03OvfzT3nEnAUKBh7n7JfYa+Io0xL+emZ68x5gNjTI1gfm6lyoOW9JUqJ7lt9X2Ab0QkPQi3fAtIAj4HngR+xFb9h2HngR9G3spifxtjorDzktcExgBbgWuA940xkSLyRr77fwh8jG0q8PyveB27ANVjwCLs6mYfBeGzAGCMeQbbJPEiMApbk/Ek0M4Y00NEfFdcuwZYi23GCMUuw/qtMeZ0EcnOPeex3M86DvgFiAe+y/e2TwB1sYvoXJy7L3+txgTgB+y67q2A57CrvQ09ns+rVHnToK9U+akDRJC3/OpxEZFtxphluS//FpEFnmPGmO255/juuwNoAfQRkVm5u6caY2KBJ40xb+cLql+IyH0+17fCBr0HReSZ3N3TjDHRwC3H+3lyOyyOAh4Tkcd99q8D5gIXYZcP9sgCBopIVu55YDNAZwLzjDE1gbuBiSJyf+41040xmcB/PTcRkb+NMXuATN/nlc8cEbkz9/tpuc/iRmPMMNEFTNRJRKv3lao6zgG2+wR8jw+wJd02+fZ/ne91V+z/jM/y7f8kSOk7L/f+HxpjXJ4N27RwGJt+X9M9AT/XityvjXO/tsf2j/g833VfHEPafsz3egW2RiX2GO6lVIXRkr5S5WcfdnnQJhX0/rWwy4/mt9PnuK/85zbI/bor3/78r49VvdyvfxVyvHa+1/vzvfZUyYfnfvWkd3e+844lvcW9l1InBQ36SpUTEck2xswCzqug3vD7se3R+dX3Oe4rf7W1JxMQi13XHJ/XweAZVtgPOFDE8ZLypLcesNJnv5bOVZWl1ftKla9nsCXW5wIdNMY0M8Z0KKP3ng00MsaclW//VdjS8Kpirl8IuIH/y7f/iuAkj+m5928sIosDbBtLeb8VwBHgn/n2538NtuQeUfokK3Vy0ZK+UuVIRObkzvz2vDGmDTAJ2ILtUf8P4EZsEC502N5xmITt6f6VMeZBYBtwNbYtfUS+TnyB0r7WGPMR8LgxxoHtvd8P6F/KdFxgjNmZb99BEZlujHkWeDm3o9xsIB04JTeNb4nIzJK+iYgcMMa8AIwxxhzG9t7vDNyQe4rv/AWrgFrGmFuBxUC6iKxAqUpGg75S5UxEXjDG/AHcA4zH9uo/jA02I4Dvy+h9jxhjemFrGZ7BTuqzFrhWRD4o4W1GAKnAvdhhcjOwmZS5pUjKSwH2rQTaicgYY8xq7OyCt2ObGLYCvwLrS/EeHmMBgw30/8LWVgwDfgcO+pz3FtANeBqogR1h0fQY3k+pE5rR0SZKqarEGHM5tkf/OSLyW0WnR6nypEFfKVVpGWO6AgOwJfx07OQ8D2BrOHroGHtV1Wj1vlKqMkvFju+/HaiG7bD4GTBaA76qirSkr5RSSlUROmRPKaWUqiI06CullFJVhAZ9pZRSqorQoK+UUkpVERr0lVJKqSpCg75SSilVRfw/gr88N/jzdHgAAAAASUVORK5CYII=" 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Xq1dPrrjiClm4cKFs2LBBZsyYIcOHDy/0O02ePFlCQkLkvffek1WrVsndd98tkZGRnqdVEZFdu3ZJYmKiTJo0SQD58ccfJTExUQ4cOOBJs3fvXtm1a1eBm7uWI9B9PnLkiDz22GOycOFC2bJliyxevFiGDRsmoaGh8vfff3vSDRkyRIYMGeJ5/9FHH0lwcLCMHTtWNmzYIPPmzZNOnToF7OR5wQUXSK9evQLeg4ULF8qUKVNkw4YNMmfOHOnZs6c0b97cp2blsccek5iYGPnggw9k3bp1kpiYKO+88468++67Bd7b7Oxsad++vfTo0UOWLFkiM2bMkLi4OLnzzjsLPEfb9MsGlbUjX1lvxxv0x48XiYyUfIHee4uMtOlU6TkR/uMe6+/enj17pH///hITEyMxMTHy6quvyk8//SRxcXEyatSo0s2kFB70e/ToITVr1hSn0ymdO3eWn376yee4u7r2o48+8uwbM2aMNG7cWEJCQqRJkyby+OOPS0ZGhuf41q1bpW/fvlKvXj0JCQmRxo0by3XXXSerV6/2ufZff/0lffr0kZiYGImOjpazzz47X8/xtWvXyr///W+pVauWOJ1Oad26tdx5550+nxfI22+/LU2bNpXQ0FDp0KFDvo59o0aNEmxHYZ/N+3s2bdo0YBr35t0TXsT3PqekpEj//v2lYcOGEhoaKg0bNpTLLrtMFi5c6HNOt27dpFu3bj773njjDWnbtq2Eh4dLgwYN5LrrrstXtb9hwwYxxsjnn38e8PvPmjVLTj31VAkLC5M6derIkCFDZMeOHT5pXC6XvPHGG3LqqadKaGio1K1bV3r16iXTp08v7NbKli1bpF+/fhIeHi4xMTFy1113eUZlBKJBv2wUFvQrdJx+WevUqZMcz/KmzzwDo0YJInZgfkhIDllZvtVrxgijRxueeOK4sqq8zJo1i+7du1d0No5Lp06ddGld5aH3uex4/187Ef52lAZjTIHj9KtC7/0K06ABRETkvW/Xbn++NBERNp1SSilV2WnQL8SVV0JOTt77Dh3yT5GZkwNefYKUUkqpSkuDfiFq14b77zeEhNgFI9q0OeRzPDg4i9tuM9SqVQGZU0oppUpIg34RRo8WBg3aQ0hINrmTYAFgjIsrrtjLrbeKT22AUkopVVlp0C+Cw2G48869fPddAiedBFddZTv11ayZzdChBzDG4LWAmFJKKVVpadAvho4dO3LhhWdTt67t0d+sGRw+HEpy8umEhcHBgxWdQ1UV3HDDDQHXOj/nnHM8aZo1a+bZHxERQfv27Rk/frzPdTIzM3n55Zc588wziYiIICYmhnPOOYd333230MldStvs2bPp0qULderUITw8nFNOOYVXXnmlyPMOHTrEkCFDqFmzJjVr1mTIkCEcPnzYc/ypp54KeJ+MMezdu7fYaY6ViPDUU08RFxdHeHg43bt391nZzuVycdlll9GkSROcTicNGzZk8ODBnimCS8v48ePp0aMHtWrVKvbSvVlZWTz99NO0bNkSp9PJv/71L37++WefNIHuXQOv3shZWVk89NBDnH766URGRtKwYUOuu+46n+WHj8fs2bPp2LEjTqeTFi1aMG7cuALTPv/88xhjuPPOO0vls5UG/WIzXuvpXnGF/Tl1KoSEQEaG3ZQqSq9evXzWO9+1a1e+edqffPJJdu3axbJly+jfvz+33norn3/+OWAD/oUXXshzzz3HsGHD+OOPP0hISGDkyJF89NFHx7Sc77GKiori7rvvZs6cOaxatYrHH3+cUaNGMXbs2ELPu+6661iyZAk///wzP//8M0uWLGHIkCGe4/fff3++e9StWze6d+9O/fr1i53mWL300ku8+uqrvPnmm/z111/Ur1+f3r17k5SU5EnTs2dPvvjiC9asWcOUKVPYuHEjV7j/MASwZcsWn78hxZGamkqfPn3yLflbmMcff5x33nmHN954g1WrVjFixAiuuOIKEhMTfdK1adPG5955z5SXmprKkiVLeOyxx1iyZAnffvst27Zto2/fvmRnZ5foO/jbtGkTF198MV26dCExMZFHHnmEu+66iylTpuRLu3DhQsaPH8/pp59+XJ+p/BQ0gP9E2Ep7ad3ff/9dtmwRmTnTTswTFSWyfr3IunUifhNwqeNwIkywEeh3b+jQofmWOfXXtGlTefnll332nXzyyTJw4EAREXnxxRfFGCN//fVXvnNzcnLkyJEjJcpnceaEL4krrrjCk9dA3PP3z5s3z7PPPX+8/5K8blu3bhWHwyGTJk0q8LoFpfnjjz+ka9euEh4eLnFxcTJixIhC75HL5ZIGDRrIs88+69mXmpoqUVFR+Zaj9fbtt98KIGlpaQGPL1++XOyf25IryRoADRs2lNdff91n34ABA2TQoEGe98cyIc7KlSsFkGXLlnn2HT58WIYPHy716tWTqKgo6dq1a8DfS28PPvigtGrVymffTTfdlG8Z58OHD0uLFi3kt99+k27duskdd9xR4DV1cp78qOKr7FUqtWpB48ZwxhmQnAwzZkB4OBw+DH7TXytVKpxOJ1lZWQBMmjSJXr160alT/nk3HA4HNWrUKPA63iumubeGDRt6Xl900UXHlc/ExETmz59Pt27dCkyzYMECoqKi6NKli2ffueeeS2RkJPPnzw94zgcffEDt2rULnR8/UJrly5fTp08fLrvsMv7++2+mTp3K0qVLufHGGwu8zqZNm9i9ezd9+vTx7AsPD6dr164F5u/gwYNMmjSJzp0743Q6A6YpLxkZGfnyEB4ezrx583z2bdy4kbi4OJo3b87AgQPZuHFjodc9evQoALVr1wbsw2K/fv3YsWMHP/zwA4mJiXTt2pWePXsWulLgggULfO4twIUXXsjixYs9v+MAt9xyC1deeSU9evQo+kurEqmIBXeqtIgIOwHvgAGwdKmt4r/sMhvwU1MhKqqic6gqs59//pkov1+SO+64gxdffDFf2uzsbD799FOWL1/ObbfdBtgFbI51xjH3ErDekpOTPfkJDw8/pus2btyYffv2kZ2dzahRoxgxYkSBaXfv3k29evV8qrqNMdSvX5/du3fnS5+Tk8OHH37IkCFDCAsLC3jNgtK8/PLLXHPNNdx3332efe+88w5nnnkme/fuDdgM4M5DbGysz/7Y2Nh8bfYPPfQQb731FqmpqZxzzjn88MMPPse9/50ld+ZT733nn38+06ZNC/idjtWFF17I66+/Tvfu3Tn55JOZOXMmU6dOJcdriFHnzp2ZMGECp5xyCnv37uXZZ5+lS5curFy5kjp16uS7ZmZmJvfddx+XXnqpZyGd33//naVLl7Jv3z7P780zzzzD999/zyeffMKDDz4YMH+7d++mV69ePvtiY2PJzs5m//79NGzYkPfee4/169fz6aefltZtUV406JdQcLAN/H37wujR8PvvsH8/1KhhO/Rp0FeF6dq1a76OebX8Jnp47LHHeOqpp8jIyCA0NJQHHnjAs2a6O3gci0CrzpXG9LBz584lOTmZhQsX8tBDD9G8eXOfNvrj8fPPP7Nt2zaGDx9e4jQJCQmsX7/e0x8C8u7fhg0bmDFjhs9a9NOmTcu3il1hHnjgAW666Sa2bNnC6NGjGTx4MNOmTfMUaLwLWevWrePiiy/22XeshazCjBkzhuHDh9O2bVuMMbRs2ZJhw4bx4YcfetL41+icc845tGjRgo8//piRI0f6HMvOzmbw4MEcPnyY7777zrM/ISGB1NRU6tWr55M+PT2dDRs2AL4FnMGDBxfaYc9tzZo1PProo8ybN6/A1RPV8dGgfwxq1oS0NOjZ01bvT50Kt9wCSUm2Q18BDyRKERERETD4ehs5ciQ33XQTERERNGzY0OepuHXr1qxevfqYPtu/hsHfsT55Nm/eHIDTTjuNPXv28NRTTxUY9Bs0aMC+ffvswh+530tE2Lt3r08Pcrfx48fTpUsX2rZtW+DnF5TG5XJx880383//93/5zmnUqBHt27enc+fOPvvcVdN79uzxLG/sfu+fv7p161K3bl1at27NqaeeykknncS8efM4//zzAd9CVnp6er59ZaFevXp88803pKenc+DAAeLi4nj44Ydp0aJFgedERUXRrl071q1b57M/Ozuba6+9luXLlzNr1iyfWgCXy0VsbCxz587Ndz13E5N3Ace9r0GDBuzZ4zuz6Z49ewgODqZu3br88ssv7N+/n3bt2nmO5+TkMGfOHMaNG0dKSkqBNT6qeDToHwN3Ff8119ig/8UXMHw4BAXZwK+/k+p41KlTp8DgcN111/HII4+wePHifO36LpeL5OTkAtv1y6p63z8PhQ0bjI+PJzk5mQULFnja9RcsWEBKSopPOz/Azp07+fHHH3n//fcLvF5haTp06MDKlSsLDbT+tRzNmzenQYMGzJgxg7POOguwAXvu3Lm8/PLLBV7HvZ59eQ6ZLIzT6aRRo0ZkZWUxZcoUrr766gLTpqen888///i0n2dlZTFw4EBWrFjBrFmz8hV4OnTowJ49e3A4HAUWKALd9/j4eL7++muffTNmzKBTp06EhITQv3//fL/Xw4YN4+STT+bRRx8lNDS0yO+uilBQD78TYSuL3vtu27aJ/POPSEyM7ck/bZrdt26dSE5OqX5stXMi9MAtqPd+r169Cl17PVDvfW/p6ely/vnnS61atWTMmDGSmJgoGzdulClTpkh8fHyJ793x9N5/44035Pvvv5e1a9fK2rVr5f3335fo6Gh56KGHPGmmTp0qbdq0ke3bt3v29e3bV9q3by/z58+X+fPnS/v27eWSSy7Jd/1nnnlGatSoISkpKQXmobA0f//9t4SHh8utt94qS5YskXXr1sn3338vt9xyS6Hf64UXXpAaNWrIlClTZPny5XLNNddIw4YNPfdq/vz58tZbb8nSpUtl8+bNMnPmTOnSpYs0a9bMp/e+97/xunXr8v27HzhwoNB87Nq1SxITE2XSpEkCyI8//iiJiYk+5/Xs2VMefvhhz/uFCxfKlClTZMOGDTJnzhzp2bOnNG/eXA4dOuRJc99998msWbNk48aNsnDhQunXr59ER0fL5s2bRUQkKytLLr/8comLi5OEhASfPKempoqIHeVw3nnnSfv27eWnn36SjRs3yvz58+XJJ5+UOXPmFPidNm7cKBEREXLPPffIqlWr5L333pOQkBD56quvCjxHe++XHIX03q/wwFyWW1kG/aQkG/RvusnexRtuENmxQ2TNGntMHbsT4T9uQUGfAGuvN2rUyJOmqKAvYgP/Cy+8IKeffro4nU6pVauWdO7cWcaNG1fkWvL+jifo//e//5W2bdtKRESE1KhRQ84880x5++23Jcer1PvRRx/lG2528OBBGTRokERHR0t0dLQMGjTIJyiJ2KDSrFkzue222wr8/OKk+euvv+TCCy+U6OhoiYiIkPbt28sTTzxR6PdyuVwyatQoadCggYSFhUnXrl1l+fLlnuOJiYnSvXt3iYmJkbCwMGnWrJmMGDEi37r2gf6tvbdu3boVmo9Ro0YFPO+jjz7ypGnatKkMHTrU837WrFly6qmnSlhYmNSpU0eGDBkiO3bs8LmuuxATEhIicXFxMmDAAFm5cqXn+KZNmwrMs/dnHz16VO6++25p1KiRhISESOPGjeWaa66R9evXF/q9Zs2aJWeeeaaEhoZKs2bN5J133ik0vQb9kiss6Bt7/MTUqVMnKc01zb3Xas7JgQ0bYMsW6NPHDuVLSLBV/CJ21j51bE6ENbG91/iuzHSd9/Kh97nseP9fOxH+dpQGY0yCiOQf14vOyHfMgoJsT/2WLaF9eztOf/r0vBn6cvvtKKWUUpWGBv3jULMmZGXZDn0AX35pfwYHQ+5cFkoppVSloUH/OISHg8MBl19un/BnzYJdu8DptE/+uuSuUkqpykSD/nFwOCA62g7h693bzso3ZQq4h1UnJ1ds/pRSSilvGvSPU82akJ2dV8X/+ee2I5/TCQcO2NdKVaQbbriBSy65pKKzUWW1b9++RCvdKVWZadA/Tk6nbcPv2hUaNICNG2HhQrsvM9PO3KdUWbvhhhsCri2/dOlSxowZ4zOPeffu3XV98ipg7NixNG/eHKfTSceOHQPOfudt6tSp9OnTh3r16hEdHU3nzp19ps51mzJlCm3btiUsLIy2bdvmmyxHRHjqqaeIi4sjPDyc7t27s3LlSs/xWbNmBfxdM8bwpbtjk6q0NOgfJ2PscD3vDn2TJtmfoaFw6FCFZU1VM7169cq3xnz79u2pWbNmvvn9q5vMzMyKzkKJfP7559xzzz08+uijJCYm0qVLFy666CK2bt1a4DmzZ8+mZ8+e/PjjjyQmJnLxxRdzxRVX+BQWFixYwDXXXMOgQYNYunQpgwYN4qqrruLPP//0pHnppZd49dVXefPNN/nrr7+oX78+vXv3JikpCYAuXbrk+z175JFHSmWlRlUOChrAfyJsZTk5j7f0dDtRz59/ihgjEhoqsny5naznn39ESjhfSrV3IkywUdq/e0UZOnSo9OvXr8hjgSYICrRO+w033CB169aV5557zrNv48aNEhISIp988kmB+ZgyZYqcdtpp4nQ6pXbt2tK1a1fZvXu35/iLL74osbGxEhkZKUOGDJFRo0ZJ06ZNC/0e/uu/L1q0SHr37i116tSR6OhoOffcc2X+/Pk+5wDy1ltvyRVXXCERERFy3333iYjId999Jx06dPBMqvPoo4/6TGi0Z88eueyyy8TpdEqTJk3kgw8+kHbt2smoUaMK/M7FUdJJkM4++2y5+eabffa1atXKZ/a94jjrrLNk5MiRnvdXX3219OrVyyfNBRdcIAMHDhQROzFRgwYN5Nlnn/UcT01NlaioKBk3blyBn3PyySfL8OHDS5S30qKT8+RHIZPz6JN+KQgLs1uDBtCjh63Wd9dyORw6fE9VHmPGjCE+Pp5hw4axa9cu1q1bx0knnZQv3Wuvvcbzzz/PE088wZo1awB48sknadOmDdddd13Aa+/evZuBAwcydOhQVq9ezZw5c3wW3vniiy94/PHHGT16NEuWLKFNmza89tprJf4OSUlJDBkyhLlz57Jo0SLOOOMMLr74Yg4cOOCTbvTo0Vx88cUsX76cO+64g19++YVBgwZx5513snLlSj788EO++uorHn30Uc85N9xwA+vXr+fXX3/lm2++YeLEiWzevLnQ/MydO5eoqKhCt1deeaXY3y8zM5OEhIR868736dOH+fPnF/s6YO9V7dq1Pe8LWs/efd1Nmzaxe/dunzTh4eF07dq1wM+eNWsW69at45ZbbilR3lTF0AV3Sknt2rBnDwwaBL/9Zqv4b7nFDus7dMgeL8GqnUqV2M8//1zkeu01a9YkNDSUiIgIGjRoQFJSUsDlZGvXrs3NN9/MV199xcSJE7n22mv57LPPmDp1Kg5H4GeFnTt3kpWVxZVXXknTpk0B2wnO7fXXX2fo0KGe5Wwfe+wxfv/9d9avX1+i79mzZ0+f92+++SZTpkxh2rRpDB482LP/mmuu4eabb/a8Hzp0KA888ADDhg0DoGXLlrz44osMHjyYl19+mXXr1jFt2jTmzZvHueeeC8DHH39c6Ap1YGeEC7SYkbeSLBO7f/9+cnJyiI2N9dkfGxvLr7/+WuzrvP3222zfvt2n4LV79+6A1929e7fnuHuff5odO3YE/Jzx48dzxhln5FsoR1VOGvRLSWSk7anfqxfExtopev/8E845x+5PTrY9/ZUqK127dmX8+PGe96Wxat7111/PI488wvLlyznrrLO4/PLLAZg0aVK+tei7dOlCr169aN++PX369KFXr15ceeWVnjXXV69e7ROEwa66VtKgv3fvXp544gl+//139uzZQ05ODmlpafnau/2DUEJCAosWLeLFF1/07HO5XKSlpbF7925Wr16Nw+Hg7LPP9hxv2rQpcXFxheYnPDy8yCVz3e3h5WXKlCk88MADfP75554CWFk4cOAAU6dOPaYaG1UxtHq/lAQH28CfkwMDB9p97g7TOnxPlYeIiAhatWrl2Ro1anTc1+zfvz+HDh3i+++/57nnnvPsv+yyy1i6dKln69SpE0FBQUyfPp3p06dz+umn88EHH3DyySfz999/F/vzHA4H4vcfJSsry+f90KFD+euvv/jvf//L/PnzWbp0KY0bN87XWS8yMtLnvcvlYtSoUT75XrZsGevWrfMUTACMe6KNYirt6v26desSFBQUcN15/yVuA/nqq68YMmQIEydO5NJLL/U5VtB69u7run8W97MnTpxIUFAQgwYNKvqLqUpBg34pcvfiv+4626v/xx/h4EFbIMjKgtTUis6hUhAaGkpOMaeLjIiI4OSTT6Zjx45ccMEFnv3R0dE+BQx3rYIxhvj4eEaNGsVff/1FXFwcn3/+OQCnnnoqCxcu9Lm+//t69eqxa9cun33+Vefz5s3jrrvuol+/frRr147o6Oh85wTSoUMH/vnnH598u7fg4GBOOeUUXC4XixYt8pyzdetWdu7cWeh13dX7hW033nhjkflzCw0NpWPHjsyYMcNn/4wZM+jSpUuh537xxRcMGTKECRMmcOWVV+Y7Hh8fX+h1mzdvToMGDXzSpKenM3fu3ICf/f7773PVVVdRU6sxqwyt3i9FERE22DdqZDv0/fab7dB36612+N6BA7Y2QKmK1KxZMxYtWuTpoBYZGVlgO/2MGTNYsmQJUVFRpKamEhERUeB1Fy5cyK+//sqFF15IbGwsiYmJbNu2jbZt2wJwzz33cP3113PWWWfRvXt3vvrqK/78809iYmI81+jZsycvvfQSH374IV27dmXq1Kn88ccfNG7c2JOmdevWfPrpp3Tu3JmUlBQefPBBQkNDi/zeTz75JJdccglNmzbl6quvJjg4mBUrVrBo0SJeeukl2rRpQ9++fbn11lsZP3484eHhjBw5sshmkrKo3h85ciRDhgzh7LPP5txzz2XcuHHs3LmTESNGeNJcf/31gH3aBpg8eTJDhgzhlVdeoWvXrp72+dDQUM89vueee+jatSsvvPAC/fv35+uvv+b3339n3rx5gC203XvvvfznP//hlFNOoXXr1jz77LNERUXl68A5b948Vq1a5dOkpKqAgrr1nwhbeQ3Z87Znj8j69SIffCACIi1bimzfnjd8Lz29VLN0QjoRht1U1iF7IiJr1qyRc845R8LDwwscsud21llnyeWXXy5NmjQpdKieiMiqVaukb9++Ur9+fQkNDZWWLVvKiy++6JPmP//5j9SrV08iIyPl2muvzTdkT0Q8a9nXqFFDbrvtNnnkkUd8huwtXbpUzj77bHE6ndKiRQuZOHFivmF1gHz55Zf58vjLL7/IeeedJ+Hh4RIdHS0dO3aUN99803N89+7dcumll4rT6ZTGjRvLe++9VyFD9kRE3n77bWnatKmEhoZKhw4dZPbs2T7Hu3XrJt26dfN5j99wTMAnjYjIl19+KW3atJGQkBA55ZRTZMqUKT7HXS6X598gLCxMunbtKsuXL8+Xv+uvv15OPfXUEn+v0qZD9vKjkCF7FRKMgduBTUA6kACcX0T6O4DVQBqwBri+OJ9TEUE/Lc0G982bRRo0sHf4889t0F+/XsRryLIqwInwH7e8g/6xKiwYTZ06VRwOh6xYsUIeffRR6d27d6l//ssvv5wv6J+IjiXoq+LRoJ9fYUG/3Nv0jTHXAGOA/wBnAvOBacaYJgWkvw14EXgaaAeMAt42xlwaKH1FCwuzK+4ZA+7RQx99ZH+6V9/Lzq6w7ClVLC6XiyeeeIJrr72Wdu3acf311zNz5kzeeecd9u/fX9HZU0odo4royDcSmCAi74nIahG5C9gF3FZA+iHAeyLyPxHZKCKTgfHAQ+WU3xIxBurUgfR0O2Y/JASmT4ft2+0xhwOOHKnoXCpVuEmTJrFmzRpGjx4NQJs2bXjmmWd44okneOCBByo4d0qpY1WuQd8YEwp0BKb7HZoOFNQtNQzbDOAtDTjbGFP8GS/KkXvMfr16cMkldsndTz6xx8LDbY/+YnaeVqpCDBkyhKysLFq2bOnZ9+ijj7J//34+clddlYL777+/yBnvlFKlp7yf9OsCQcAev/17gIIGoP4C3GiMOctYnYCbgZDc61U6wcEQHQ0ZGXDDDXbfpEn26d/dSTo5ucKyp5RSqpqqCkP2nsEWCOYDBltA+Bh4EHD5JzbG3ALcAnbqyFmzZpVaRpKTk4t9PZfLjs13OqFVq46sXx/NO+/8Q58+dhjNxo22/V/lV5L7XFmlp6eX+yxsxyInJ6dK5LOq0/tcdtLT0z1/L06Evx1lrbyD/n4gB4j12x8L7A50goikYZ/0b81Ntwsb1JOAfQHSj8e2+dOpUyfp3r17aeWdWbNmUdzridjAHhoKt98OI0fCL7+cwr33noIxkJQEcXG2RkD5Ksl9rqycTifRVeAfNykpqUrks6rT+1x2nE6n5+/FifC3o6yVa9AXkUxjTALQG/jS61BvYEoR52YB2wGMMQOBH0Qk35N+ZWGMXWTn4EG47DJ45hlYvhyWLIGOHW0NwL59EBVl06oTS8OGDavEAiTp6ek4nc6KzsYJT+9z2WnYsGFFZ6FKqYjq/deAT4wxi4A/gBFAHDAOwBgzEUBErs993xroDCwEamN7/7cHhpZ7zksoKsoG9uhoOzXv22/DhAk26IeE2Db+tDQ7k586sXz//fcVnYVi0Sej8qH3WVUW5T5kT0Q+B+4FHgeWAucBF4vIltwkTXI3tyBsoP8bmAE4gS4isrl8cnzsQkNtQM/IgCFDbCe+77+3S/CCbdPXIc9KKaXKS4UsuCMiY0WkmYiEiUhHEZnjday7iHT3er9aRM4UkQgRqSki/UVkTUXk+1jExEBmJpx0Elx4oe3c9/HH9lhoqH3ST0ur2DwqpZSqHnSVvTIWEWGH8OXkwC232H0TJ+YF+pAQuxCPUkopVdY06Jcxd4e+9HQ46yw480w4dMiuvge2Q19Kij2ulFJKlSUN+uUgOtqO2zcGhg+3+957z+4DfdpXSilVPjTol4OQEBv409OhXz9o1MiO4f/1V3vc6bTj9jMyKjafSimlTmwa9MtJrVq2Q19wMNx0k903fnze8ZAQO6ZfKaWUKisa9MtJeLjtrZ+TY8fsR0XBggWwbFne8aNHbcFAKaWUKgsa9MuJe8ndtLS8yXrA92k/OFif9pVSSpUdDfrlyL3krgjcfDMEBcF338GOHfa40wlHjujTvlJKqbKhQb8cBQdDzZq2Q1+jRnDppba6/9137XFj9GlfKaVU2dGgX85q1YLsbPv69tvtz88+ywv0+rSvlFKqrGjQL2dOp+20l5kJ7dpBz562nf+DD+xx99O+jttXSilV2jToV4A6dfJm4LvrLvvzo48gOdm+dvfk13H7SimlSpMG/QoQEZE3fO/ss+125Ah8+mleGn3aV0opVdo06FcA7+F7AHfeaX+OH59XAxAebmfp0zn5lVJKlRYN+hUkKsr+FLHt+m3bwp49eQvxgM7Jr5RSqnRp0K8gQUG2J39amn3ydz/tv/NOXu9+95z87hoBpZRS6nho0K9AtWrZdn2ASy6BZs1gyxY7YY9bWBjs22drBJRSSqnjoUG/AoWG2ln60tPtk7+7J//rr+cVBsLC7JN+amqFZVMppdQJQoN+BatTB7Ky7Ot//xuaNIENG3yf9p1O2LtXn/aVUkodHw36FczptE/zmZm2494999j9//1v3tN+SIg9npRUcflUSilV9WnQr2DGQL16eUPzvJ/2v/02L114uG3bd7kqJp9KKaWqPg36lYB7sp7s7IKf9oOD7esjRyoun0oppao2DfqVgDFQt27e0Dz30/7Gjb5P+xERsH9/XkFAKaWUKgkN+pVEVJTtwe9yFfy078j91zp0qGLyqJRSqmrToF9JOBy2J797aJ730/7XX+eli4iws/Tp0rtKKaVKSoN+JRIdbX+K2Kf9e++17199NS/Iu5fe3bevQrKolFKqCtOgX4kEB0NMjG/b/sknw9at8NlneenCw+0yvDphj1JKqZLQoF/J1Kxp2/BFbCHgwQft/tdf9w3yYWE6YY9SSqmS0aBfyYSEQO3aeU/7F10EZ5xhq/Pffz8vXWgoZGTohD1KKaWKT4N+JVS7dt7TvjHwyCN2/zvv+Pbcj4iwT/s6hE8ppVRxaNCvhPyf9s87D84/H44ehbFj89IFBdmCgQ7hU0opVRwa9Csp97K77jb7hx+2Pz/8EHbtykvnHsKXkVHuWVRKKVXFaNCvpEJDbeB3z8l/xhlw8cX2/Wuv5aUzxtYMaKc+pZRSRdGgX4nVrm2X3fV+2g8OhsmTYfXqvHROJ6Sk2GF8SimlVEEqJOgbY243xmwyxqQbYxKMMecXkf46Y8xSY0yqMWa3MeZTY0yD8spvRfF/2m/ZEq6/3k7V+8wzvmm1U59SSqmilHvQN8ZcA4wB/gOcCcwHphljmhSQ/lzgE+BjoB3QH2gLTCqP/Fa0mBjfp/3/+z+oUQNmz4bff89LFxxsCwPaqU8ppVRBKuJJfyQwQUTeE5HVInIXsAu4rYD08cB2EfmviGwSkYXAm0DncspvhQoN9e3JHxOTtxjP00/b5Xjd3Kvwaac+pZRSgZRr0DfGhAIdgel+h6YDXQo47Q+goTHmUmPVBQYCP5VdTiuXmBjfnvzDhtnFeNauhf/9Ly+dMbaQoJ36lFJKBWKkHKODMSYO2AF0E5E5XvufBAaJSJsCzhsATADCgWBgBnC5iKQFSHsLcAtAbGxsx8mTJ5da/pOTk4mKiiq165VEdrYN/O7ldefMqcezz7ajVq1MPvroTyIj8xrzc3Js8HdU0W6aFXmfqxu91+VD73P50Pts9ejRI0FEOgU6FlzemSkpY0xbbHX+M8AvQEPgZeBd4Hr/9CIyHhgP0KlTJ+nevXup5WXWrFmU5vVKIjvbLrMbGWmf6Nu2hZ9/hsWLQ5k583zPrH1gg356OjRvbtv6q5qKvM/Vjd7r8qH3uXzofS5aeT8L7gdygFi//bHA7gLOeQRYJCIvi8gyEfkFuB0YYoxpXHZZrVzcK/C5F90xBkaNsq/Hj7cFAregIHtcl99VSinlrVyDvohkAglAb79DvbG9+AOJwBYUvLnfV9EK7GNTq5b96XLZnx06wNVXQ2ZmXgHALSICDh8WUlLy9pVnU45SSqnKpyKC5mvADcaYm40xpxpjxgBxwDgAY8xEY8xEr/TfA5cbY24zxrTIHcL3BrBERLaWe+4rUHAw1K3ru8Tuo49CdDT89hvMmJG3f9myZaxevZhduyS3E6CwYMECEhISyj/jSimlKoVyD/oi8jlwL/A4sBQ4D7hYRLbkJmmSu7nTT8AO87sTWAF8BawFLi+vPFcmNWrYDnruSXjq1YP777evR42ybfkiQkZGBuvXr2Hx4iUcOGAD/ooVK8jIyNAnfqWUqqYqpJuXiIwFxhZwrHuAfW9iO/NVe0FBUL++XXQnOtruGzoUPvsM1qyBcePg3nsNnTrZjpv//LOad95ZT506yZx5Zjvi4+MxxlTgN1BKKVVRqlWb+IkiOtoOycvKsu9DQvKm5X3zTdixA5YvX56bWggJyeHIkXBEDEuWLKmQPCullKp4GvSrIGMgNjZvTn6Ac8+FSy+1+0aNstX7S5YsITU1laCgHJKT0/ntt6Vava+UUtWYBv0qKiLCbt6B/8kn7Tj+adMMixbV9Ow3xhASkkVKSjjp6Vq1r5RS1ZUG/SqsXj07XM8tLg4eeMC+fu+9Zpx6aiciIyMBiIqK5KyzTiM5ORIRDfxKKVUdadCvwpxOO3bfewjfjTfC6afDvn2h/O9/jXzSh4QIbdqcxoED5ZtPpZRSlUMVnKRVeatTB44csRP2OBy2d/+LLwr9+sH339dn/vwrcTrDuOyyzaSkLEIE2rTpRFSUITy8onOvlFKqPOmTfhUXEmKH8Hk/7Z92mqFp08OIONi/P4zt2w0TJjTj+eev5P33axEebti5M2+sv1JKqepBg/4JoGZNO1tfdrZ9//LLwrZtuYP4se33qamGrKwgpk9vzuuvCyJ2CV6llFLVhwb9E4DDYYfwpabC4cN2gp7s7MAtN1lZwYwbZ8f4HzkCSUnlm1ellFIVR4P+CSIy0m7ffANBQYX3zg8KMvzwg02/a1feJD9KKaVObBr0TyD168OePZCWVni6tDRbtR8UZLfdu0Hn61FKqRNfiXrvG2POAfoC52BXxgsH9gNrgNnANyJyqLQzqYonLAyaNQOnU0hLK/hp3+kU6te3x8PDbRX/oUMQE1NOGVVKKVUhivWkb4wZaoxZjl3z/v+wa9yvA/4EDgGdgfeBHcaYCcaY5mWUX1WEIUPs8L3C5OTAJZfkvY+Ksk/+RdUQKKWUqtqKDPrGmGXAC8BPQEegloh0FZF/i8hgEblYRE4FYoDhQH1glTHmmrLMuAqsbl24+24IDi64of78822Pfzdj7BP/jh15IwCUUkqdeIrzpP8B0FxEHhKRRClgtRYROSIik0TkYmz1/+FSzKcqgeefF3r0WEdQUDbGuLAr7WVijB2Y/+efsHWr7zkhIfbnnj3avq+UUieqIoO+iIwRkfSi0vmd87eI/HLs2VLHwxgYPHgZw4Z9RI0ah4mOPkq3brO47bZxnHHGDpKTDXffnX9ynogISE62w/6UUkqdeHQa3hOQw+EgKiqUk0+GwYMn4XRmISLExMQwdOgqdu1qxF9/wdixcNddvudGRtr2facTnaZXKaVOMMUesmeM6W+M+cgY86cxZl3u9mfuvv5lmEdVQiJCbGwsWVn7CQlxASE4HA6Sk5Np3rwWr71m6+9feQWWL/c91+GwAV/b95VS6sRTnI58tY0x84CpQA/sEL2Fudt+oDsw1RjzhzGmdhnmVRWTiLBs2TJcrmxOPz2WG2+8gyZNmpKdnc2qVavo2lW48UYb1O+8M3+v/ZAQ20Swa1fRIwGUUkpVHcV50n8VaAJ0E5FmItJPRIbkbv1EpDnQFWgEvFKWmVXF43A4iI2NpUWLFgwdejX16jno06c/TZs2pV69ejgcDh59FE4+Gdavh+eey3+N8HBbGNBleJVS6sRRnDb9y4DbRWRuQQlEZJ4x5iFgLHBTaWVOHbsBAwbgcrlwOBzExEBSkoN+/foTFmbLeeHh8NZbdrz+Rx9B167Qp4/vNSIjbdB3OiE6OsCHKKWUqlKK86Qfhp2ApyiHgdDjyo0qVQ6H/ecNCoIGDSAjw+EzHK99e3j4Yfv6//7PtuN7MyZvfv6MjHLKtFJKqTJTnKC/AHjMGFPgs17usUewM/apSigiAmrXtivxebvlFrjgAjtM7/bb8y++ExQEoaHasU8ppU4ExanevxeYBWwxxvwIrCDvyb820A7oB+RgO/qpSqpuXTsOPysrbzIehwNefx1694bFi22P/kce8T0vNNS27+/aBY0a2XOUUkpVPcWZnGcV8C/gYyAe+A8wLnf7D3AuMBE4Q0RWll1W1fEKCoKGDW0A967mj4mxY/YdDtvOP2tW/nPdHfv27Su37CqllCplxXpmE5FdIvJ/ItIKiMT21G8ERIlIy9xjO8syo6p0RETYIO9fzd+5M9x/v319992wM8C/ZlSUXY1PZ+xTSqmqqcQVtSKSnlsI2CUiui5bFVS3rn3qz8z03X/nnbYX/4EDcOut+Y+DDfy7d+cvNCillKr8ijM5z4CSXtQY09AYc86xZUmVNYcD4uIgPd23mj8oyFbvx8XBkiXw1FOBz42IgO3btUe/UkpVNcV50n/TGLPUGDPCGBNTWEJjzPnGmPHAeuD0UsmhKhNOJ9Svbzv2eatTB957z3be+/hj+PLL/OcGB9vj27fn7+2vlFKq8ipO0D8ZOwXv08AeY8wyY8wnxpjXjDHPG2PGGWOmG2MOYnv5nwz0FpHxZZdtVRpq17Yd9NL91lA84wx49ln7+uGHYcWK/OeG5s7IsGNH/tX6lFJKVU7F6b2fKiJPA42BwUAC0BG4Efg/4FIgCBgDtBORHiKi4/WrAGPspD3Z2fkD96BBcO21tkAwfDgcPJj//PBwe+7u3b7NBEoppSqnYi+tKyKZxpiZwLcikl7kCapKCA21gX/nTqhRw/fYs8/CypWwbJnt2PfZZ3nj+90iIiApyS7HW7++LUgopZSqnIrTkS/IGPOUMeYQsAc4aoyZYoypVea5U+WiRg1b1Z+S4rvf6YQPPrDBfP58ePLJwOdHR9uhfLo4j1JKVW7FadMfATwJJGJX0fsWuBz477F+qDHmdmPMJmNMujEmwRhzfiFpJxhjJMCWUtA5quTq1bMd9Px75MfF2cAfFgYTJ8KECYHPj462E/ccKs4qDUoppSpEcYL+cOA9EekpIg+JyFXAHcBgY0yJF9gxxlyDbf//D3Amdr7+acaYJgWccg/Q0G/bCHxR0s9WBXMP48vKApfL91iHDnZ6XrBP+3Pm5D/fGBv49+yBo0fLPr9KKaVKrjhBvwXgP3Drc2znvabH8JkjgQki8p6IrBaRu4BdwG2BEovIERHZ7d6Alrl5eu8YPlsVIizMtu/7D+MDGDDATt6TkwMjRsD69fnTOBx28p5duwJfQymlVMUqTtCPAvyf3ZJyf5ZolfXcmoGOwHS/Q9OBLsW8zHBgpY4QKBsFte8DPPQQXHghHDkCQ4YEnoffPXnPjh06a59SSlU2xe2938gY08LrfZDX/sPeCUVkYyHXqZt77h6//XuAXkVlwhhTE7gau4xvQWluAW4BiI2NZVag1WOOUXJycqlerzJzT8Hr3xv/9tsdbNp0BmvX1uCaa47y0ktLCQ935TtfBDZvtqMDStqjvzrd54qm97p86H0uH3qfi2akiAHWxhgXECiRCbRfRIICpHVfKw7YAXQTkTle+58EBolImyLycgfwKhAnIgFGjvvq1KmTLF68uKhkxTZr1iy6d+9eaterzDIzYcsWW+Uf7Fc03LcPLrsMtm61S/J+8IGdwtdfdrZdma9pUzsSoLiq032uaHqvy4fe5/Kh99kyxiSISKdAx4rzpD+sFPOyH8gBYv32xwK7i3H+cGBKcQK+Oj6hodCokQ3s0dG+T+v16sEnn8Dll8OMGfDEE/Dcc/mf6IODbbDfuhWaNClZ4FdKKVX6igz6IvJxaX1Y7gQ/CUBvfDsH9gamFHauMeZs4F/AvaWVH1W4iAg7Rn/v3vwT97RqBR99BAMH2jn6GzSwS/L6CwmxVf3btsFJJ2ngV0qpilTipXVLwWvADcaYm40xpxpjxgBxwDgAY8xEY8zEAOfdAqwTkVnll1VVuzbUrBm4Y9/ZZ8Mbb9gn/BdftOP4AwkNtdvWrfnn+VdKKVV+yj3oi8jn2Kf1x4GlwHnAxSKyJTdJk9zNwxgTDQwE3i+3jCrABvT69e0Te1pa/uOXXALPP29fP/oofPtt4OuEhNj+ARr4lVKq4hR77v3SJCJjgbEFHOseYF8SduigqgBBQbZ9f8sWO3mP//z7Q4bA4cPwwgu2ir9GDejRI/913Odt3Wqr+sPDyzzrSimlvFRE9b6qgkJCoHFj+5QeaCndO++0i/JkZ8PNN8OiRQVfJyzMtvHrOH6llCpfGvRVsTmddqrelJT8S+kaY3vxDxxoCwaDB0NCQuDrhITk9epPSgqcRimlVOnToK9KJDratvEHCtbGwEsvQf/+tmAwaBAsXRr4OsHBEBlpZ+47cqQsc6yUUspNg74qsdq17RYo8AcFwZgxtoNfUhJcdx0sXx74OkFBeXP1u1fny/FrO/B/r5RS6thVSEc+VbW5e/RnZ9sn+shI3+PBwfDWW7btf9o0W+X/xRfQrl3+azkceavzTZjwCSEhR2nf3ibMyclh3LhxhIWFcfPNN5fDN1NKqRObPumrY2IMNGxox98HGsoXEgJjx9ppeg8fhquvhr//LvhaERE5HDpk2LIlnb1793kC/oEDB8jIyNAnfqWUKgUa9NUxczjsUD5jAo+9Dw2Fd9+1K/MdPgzXXAN//RX4WsHBQXTu3A5jarBnT01attzGgQMHCA8P56yzziIo0OT+SimlSkSDvjouwcF2KJ/Llbcyn7ewMBv4L7ssr43/jz/ypxMRVqxYQUZGDjk5QRw8WJs//+zAkSMOEhMTKWphKKWUUkXToK+OW2ionWwnK8tu/kJCbBv/VVfZsfnXXw+//eabxuUSZs7syNtv30xOThBJSTWYPr0PL754Nz/9FI/LpUFfKaWOlwZ9VSrCwmzgz8iwHfz8BQXBa6/Z8fvp6TBsGEydmnf8lVdg1qyTyclx9y01ZGeHkp0dwrRppzJqVLl8DaWUOqFp0Felxum0gT8tLXDgdzjsVL23326P33UXjB9v2/vffddBVlZI/pOArKwQXn3V4RnWp5RS6tho0FelKjy88MBvDDz2GDz5pH0/ejTccQc4HIVX3xsjvPde4CmAlVJKFY8GfVXqIiIKD/xg5+kfM8Z2BJw1K/CwP2/p6XYSny1bbBOCUkqpktOgr8pEcQL/lVfCRx+5V98zhV4vPNwQF2drCjZv1jn7lVLqWGjQV2WmOIG/Z0/49FOAvOr9Awec+dLl5AiXXGI7DEZEwPbtsG+fHSqolFKqeDToqzJVnMB/3nm2N78xNvC/+WYHn+NhYTmMGAE1a9r3QUFQo4adr3/btsDDBJVSSuWnQV+VuYgIaNLEtssHmsAH4JlnDAMG7MMYITk5FBCCgrIJDXUxYMB+HnjAt/rfGLtYT3a2re5PSSnzr6GUUlWeBn1VLsLDbeDPygrcEc8YuOmmXTz33I906bIdMOTkBHPOORu57rrdmAKa/MPDbZX/tm1a3a+UUkXRoK/KjdNpA7/LlX+ufpfLxcaNGzlyZCPXXvsPzZsLDoeLOXNa8eCDDTh4sOBoHhxsV+o7fBi2btXe/UopVRAN+qpcuWfuA99heg6HgxYtWnDSSSdRr95RRoyYxPDhvxIVlcHq1bFceqmDVasKvq4xdolfETus78gR+1oppVQeDfqq3IWG2if+4GDftvh//etfXH755Z73LVrsZcaMENq1s+32l14KX35Z+LXdvft374adOwvuPKiUUtWRBn1VIYKD7RN/ZKQdcy9iV9pLSEjwSbdnTwLffCNcc41tErj3XnjwwcBL+bo5HLa6Pz0dNm3SMf1KKeWmQV9VGIcDGjaEmBg4elRYtGgxa9aswel0MmjQINq0acOaNWtYuXIxr74qvPKKfZKfNAn694eNGwu/fni47UewfbudzU+f+pVS1Z0GfVWhjIF69aBBA8P27YdwOqOIiIjAGEPHjh2JjIxk3759GGO49lr47jto2hSWL4e+feGrrwq/flCQHd+fmqoz+SmllAZ9VSnUqiW0bVuDw4fTSU5O9VT1JycnU69ePSS3V1779vDzz3DZZbY/wD332NX6kpMLv757aN+OHXbTCX2UUtWRBn1VKRhj6NmzM127NiUjI52PPprMmjVrOOWUU+jUqRPGa6B+jRowdiy8+qoN5lOnwoUXwuLFhX+GeyY/d1u/9vBXSlU3GvRVpWGMoVu3cwgKchEcnEN6ejAdO/oG/Ly0MHCgfepv29ZW3V9xBbzwQsGz/rmFh+f18N+ypfBOgUopdSLRoK8qDRFhwYIFGAO1a6cSGZnJnDmJZGcX/DjeqhX88APcfrt9an/zTbjkEvjnn8I/y93DX8QWGPbtg5yc0v0+SilV2WjQV5WCO+CvWLGC8PBwbrllOPHxrdi3bynz5y8hPb3gwB8WBo89Zqv5mzSBlSvhootgzJii2+7DwvJm89u0CY4e1Sp/pdSJS4O+qhSMMYSFhdG+fXsiIyMxxhAfH89ZZ51C06YGMEUuqnP22TBjBgwaZKv4X3oJ+vWzPf0L/2w7X0BYmB3at2WL72yBSil1otCgryqNjh07Eh8f73nvDvzx8R1o2tQ+kR89WviiOlFRNthPnpz31N+vHzz/fNGBPCjIfgbYwL9rl/byV0qdWDToq0rFv9Oe+31QEDRoAHFxdsx9UYvqnH8+zJwJN99sCwlvvQUXXAC//150HkJDbS//1FRb5b9/v7b3K6VODBr0VZVSo4adnMcYO06/sPb3iAgYPRq+/RZOPdU+vQ8eDLfcYp/iixIebqv9Dx2ys/8dORK4lkH8MuH/XimlKosKCfrGmNuNMZuMMenGmARjzPlFpA81xjyde06GMWarMebu8sqvqlzCwmzVfa1atrq/qCr4jh1h2jR44glbEPjxR+jWDcaNK3p4n7u9Pzwc9uzJ39kvISGBBQsWeAK9u0Oi/xoCSilVGZR70DfGXAOMAf4DnAnMB6YZY5oUctpkoC9wC9AGuApYVsZZVZWYw2Gn723a1M6pn5paePqQEBgxAmbNsj37U1LgmWdslf/MmcX7vKgoW/W/a5c7+Avp6RmsWLHCE/jdIxAyMjL0iV8pVekEV8BnjgQmiMh7ue/vMsb0BW4DHvFPbIzpA1wAtBSR/bm7N5dHRlXlFxEBzZrB3r22+j0iwq7gV5BGjeD9923b/qhRsGEDXH899Oxp37dqVfjnuTv7ZWfDzp2Ghg3jSU6G5ctXsGLFCgDatm1LfHx8wEmFlFKqIpXrk74xJhToCEz3OzQd6FLAaf2Bv4CRxpjtxph1xpg3jDFRZZdTVZUEBdnV+k46yVb1F/XUD9Cjh33CHzXKBvHffrOB/+GH7UQ9RQkOtv0Lpk//mRUrDrBvXyRpacHk5LjYunUrX3/99fF/MaWUKmXlXb1fFwgC9vjt3wM0KOCcFsB5wL+AfwN3Yqv6J5RNFlVVFRlpn/rdQ/uKausPCbGd+ubNsx38AD75BM49F/7736ILDy6Xi5ycdHbvXk9y8mEOHQpn40Zh5cptpKam4ypsbKFSSlUAU57tjsaYOGAH0E1E5njtfxIYJCJtApwzHTgfaCAiR3L39QF+yd23xy/9Ldi2f2JjYztOnjy51PKfnJxMVJRWMJS10rjPLpetghex7fHFsXVrBB980IIFC+oCULt2JgMHbqFfv12EhgYO4IcPHyYzMxMR2+lPBEQMYWGh1KlTk6Cg4/oaZU5/p8uH3ufyoffZ6tGjR4KIdAp0rLyDfiiQClwrIl967X8baC8i3QKc8zFwroi08tp3ErAVOFtE/iro8zp16iSLi1p6rQRmzZpF9+7dS+16KrDSus8ulx1ut3+/fap3Oot33oIF8NxzkJho38fFwb33wtVX2+u4iQiffvophw4dYtKkKzDGcM01XxIUFETNmjEMGDAIYwwxMbYpIDT0uL9SqdPf6fKh97l86H22jDEFBv1yrd4XkUwgAejtd6g3thd/IH8AcX5t+K1zf24p3RyqE4nDAXXq2Cr/kBBb5Z+dXfR58fHw/ffw0Ud2fP/OnfDgg3aY3//+59ts0KZNG1JTQ0hOjuTw4WiWLm1HamoIp57amqgo2+Rw+LAd579zp50VUDv1K6UqSkWM038NuMEYc7Mx5lRjzBggDhgHYIyZaIyZ6JX+M+AA8JExpp0x5lzskL+vRGRveWdeVT1hYdC4se25n5UFyclFB15joE8fmD4dxo6FFi3s5D733w/nnQeffgppacK779Zg7NjhHDlSi6SkGsye3Z2xY4fz7rs1cLkEY+yIgho17BK+W7bYVf2Kmk5YKaXKQrkHfRH5HLgXeBxYiu2kd7GIuJ/am+Ru7vTJQC+gJrYX/xfAbODGcsu0qvKMsR38mjeHunXtOP3iLKrjcMDll9vx/W+9BSefDNu3w0MPwZlnOpg+/WRycoIRcQCGrKxQcnKCmTmzFa++6vvfy+m0wd/hsGP9N2ywTQ9FTSmslFKlpUJm5BORsSLSTETCRKSjd6c+EekuIt390q8RkT4iEiEijUTkDhFJKveMqyrP4YCYGBv8IyLsE3dxgm5QEFxxhR3m9847NvgnJ4PLFbinXlZWMOPGCUeO5D8WEmILIOHhtup/82bYutV9veP6ekopVSide19VSyEhdmx/s2Z2zH1xhviBDf6XXWYX8gkLK7yNICgIfvih4OMOhy14REfbYL9jh23716d/pVRZqYgZ+ZSqNJxO296fmmpn9Tt6tOhZ/cBO4FPUvP2pqbB7d/HyERpqN5fLPv0fOGDfx8TYzoBF5UcppYpD/5Soas+9qE6zZraKfd8+294fHl5wsK1fH8LDTRET+Bg++sgG72uvtX0JiuJ++gc70mDPHtvpMDLSLjAUEVH8eQeUUsqf/vlQKpd3Z7+GDW3QTUoKPMyvXz/IySlq7J1w6BC88AJ06gR33gnz5xd/yF5wsF3kJzraNj3s3Gk7/+3aZWsRjqf9X5cDVqp60qCvlB9jbC/7Zs3sxDzu4O/d5l+rFowYYQgLywl4jbCwHO6+2/Dpp9C7t73G11/DVVfB+efbYYDFmeM/73q2ABARYWshtm2D9ett80FJCwC6HLBS1ZcGfaUK4HDkPfnHxdnA6t3b//77hZ491xMcnI0xAghhYTkEB2fTs+d6HnhA6NEDJkyws/zdcw80aGCX5X3uOfv0f8MN8OOPxe+4Z4zthxAdbav8U1LsEEJ3ASAlBXICl0MAG+AzMvKWAwZ0OWBV5WnNVfFpm75SRXBX+0dF2afs/ftt8A8OhrPPns3JJ//Ol18OJSjIyWWXbSU4+Gdq1w7CmNaea5x0kp3Vb+RIu6zvZ5/Z4X8zZtitVi07KmDAAFsYKM6qvMbYfgdgmwxSU+3ywu4JgWrVsgUE734Jxhji4+MBWLFiBTExMRw8eJD27dvrcsCqSkpISCAjI8Pze+2uuQoLC6Njx44VnLvKR4O+UsXkDqZNmtjZ9Q4cEKKiGnD48FaGDv2A2rVrcfjwYbKysqhbtykiki+IBgfb6v7evW31/tdfw5dfwqpVMHGi3U46yU4IdMUVcMopxc+b02k3ETuyYOdO+zosDGrWtAWEsLC8wL9ixQrP+RrwVVXkXXPl5q65at++fcD/g9WdVu8rdQycTmjUyMFdd13CKafEkpoqbNt2mLS0bJo2bUr//v1xFNHNvl49u7TvjBl2ut9bb7XV/9u22dn/LrgAuneHV16Bf/4pfgdAY/L6AERH22aK/fvtFMC2I6Dw229/kpOT98fQu41fqarCXYBt3749K1asYP/+/Z6ArwXZwDToK3UcQkMNp50WR+3ah4iOTgYMMTFNSU83JVpYp107ePJJ+Osv+OorGDTIVs+vWwf//W9eAeCFF+Dvv0u2aE9wsG3/j462EwrNnZvAH39splatDtSoUZeTTvoXS5as5o8/NPCrqse7ycpNA37BNOgrdYxEhPnz5zN37lyCggyRkTnExBxlw4bfWL16EcnJQnJy8Wb6c3M47Cp/L70ES5fatv/rroPatW1nvTffhIsvhrPOgsceg9mzSzZ7X1CQ4ejRvcTEhHL++WcC0LLlWaSl1SUxMYnt2w2HD9vmC50SWFUF7jZ8b1pzVTAN+kodIxFh2bJlZGVl0aJFCx555BFatGgBpLN9+xJatBAaNLBP5UlJJR9aFxJil/N9+WVITLTL+t5wg20C2LXLjgq47jpo395OCzx5sp3Mp6g8Z2dns2XLYZ5/fgt798KYMVvYu/cAISEZZGcL+/bZpoD16+3IgMOHbQdGLQSoysYd8N1V+nXr1vVU9WvgD0w78il1jBwOB7GxsdSoUYNrr70Wh8PBtddey//+9z/Cw8MJCXEQEmLH/Gdk2MB/5Igdsx8cbPsFFLcGMiQEuna12zPPwLJl8PPP8OuvsHo1TJtmN4C2baFHD1tgOOssOyOgmwh8910bZsy4mJwcBy1abOG99xojcj29e2/gkktsfwB32qws2+HQ/bfT3VcgPNxeV6cHVhXJGENYWBjt2rUjPj6e2bNnEx8fj4gQFhamVfwB6H9ZpY7DgAEDcLlcnk577sDv34kvLMxuderYp+ajR+0GNqCHhha/AOBwwBln2O3hh+1CPTNn2gLAH3/YkQCrVsHbb9vgHB8P551nJwX6/nuYObMl2dl5//WzskIAu/+VV+zQQrD5ca8JkJcWDh2yHQONsUE/IsJu7rQ6TXAe/97j2pu8bPjfU73HBdOgr9Rx8g/whfXadw/7i4iwvffT0231eUqKfZp2B86S/M1q1Aiuv95u6emwaBHMmmW3NWvgt9/slifvv7137Wdmpl0O+NZb7RC/QEJC7ObmctlmC3cBxj1EMDLSFjjc6atjQUDHj5c9HbJXchr0laogQUE2OEZG2ln00tJs9X9Kij0eHOweV1/8azqdec0ATz5p2/jnzbPbL7/AkSO+F3vqqS4+742xywEPGlS8z3M47Gd6y862hYBDh/L2hYXZgo67IBAcbL//iUpE2LBhA9u3b/fsW7BgAQsXLqRx48Z06NBBg1Ep0MmmSk6DvlKVQFCQbSuPirIFgPR0WwBITrZPz+4CQEmfmGNj4d//tttrr8GrrwqQ94cwJSXUJ316OrzxBmzdCh072tkBY2JK9pnBwfnb+gMVBIKDbSEgIiKvRiA4uOBCTlWrKm/UqBHbt29n4cKFNGnShK1bt3r2q9Kjk02VjAZ9pSoZ7xoAl8t2AkxOtkEzJ8cGRXc/gJKIjbUB1ns54IcfXsgLL5zjlcqwfbudHMitadO8PgRnnmlHC7in/y2uQAUBd+EmOdl+T/ff6LCwvNkF3Z0F//47gczMDM8f88peVW6MoUsXW4sye/ZssrOzSU9Pp1u3bnTp0kUDUikqaMheVQj8FVGQ1aCvVCXmcNgAGx4Odeva6XUD1QKEhhZdXd6vHzzxhO++unXTfd6HhgqvvWb45x9ISLBzBWzZYrdvv83L08knw2mnwemn20JA27Z28p+SCAqym3u0gFt2tm3iOHLEvhcR1q83bNy4if37QzjvvE4kJv7JP/+s4vTT21bqJ37tYFa2/IfsZWZmEhcX53nqr8yB37vPR3kWZDXoK1VFuKfXdc+ln5NjawFSUvLmAXD3qA/Ui75WLbj1VuGdd7I9Pfa9hYRkMWJEEFdckfdHMjsb1q61wT8x0W5r19oOgmvW2NkD3Zo1szMLtm1rt1NPhcaNS9YnAQLVChiSknaRk5PF8uXr+PvvDYhAdraTpUuTaNjQEBqaV0PgPt9dqKiIv/nuP+ALFy7E6XQSHByM0+lk4cKFQOUORlWJe8ieuw3fPWQPqNRD9vw7IMbHx5dbB0QN+kpVUUFBviMBsrLymgLcVeYieU0BDgc8+KCDDRs28MsvzTHGzrYTEpKJiIM+fTbz4IMn+3xGcHBeEL/uOrsvLc3ODbBsGSxfDitW2ALA5s12+/HHvPOjoqB1a7twUOvW0KaNrSVo0KD4wdjlcpGZmUly8hGCgoKoVcsubJSTk4PDEUlYmAuXy0FKim0CcTcViNjvHBJiCwTukRHeBYKy7Ezo7sTXuXNnsrKyaNiwIX/++adP577KyHsIaqD3lU3Hjh1xuVz06GG47jro3t1wzjnnVOo8+3dAdAf/8uiAqEFfqROEuzNcVFTexDqZmbYmICXFPrW7XMKQIUdo2fIj/vmnGVFRmfToMZu2bTfSrduZgG9Hv0DCw6FDB7u5ZWbaGfxWrLCLA61ebbd9+2DJErt5i46GVq3ythYtoGVLW1vgX93vcDi47LLLmDhxIocOHWLv3r0A1K5dm8suu4ygIAdBQb5DCd1E8voOpKba1968a0YKKhQcS+wwxhAcHExsbCzx8fHMmTOH+Ph4Nm/eTHBwcKV9Ap06dSrp6ekMHDgQh8OBy+Vi8uTJOJ1OBgwYUNHZC8hdTQ55QyMXLlxYaft7uBljCyfeHRDPOeccbdNXSpWc98Q6UVF2X1YWpKcL33+/jKCgVPr0SaNp0xr06ZPE9u0ZrFy5mk6dOh3TH53Q0LwaAW/799tagLVrbWFg7Vq7iNChQ3nNBd4cDtsk0Ly53Zo1g2bNhKSkVYiE8fnnVwGGgQO/JDg4mCVLlhSaZ3dQL2jmQBFbM+DuK+FfKHDnKTg4r8bE/dpdIHD/9C4ciAgNGjRgxYoVdOqUxIgREBq6kJSUFJo3b14p+yG4XC727NnD/v37mTx5MgMHDmTy5Mls2LCBunXrVsonfu9q8qNH2wFVZ5z+4sWLWbt2rSePIsLkyZNp3bo1nTp1KrPP1aCvVDVhawIctGxZi0aNnFx99SXMnTuHG2/sx//+9w0iEaSm2j/q7mB5vBPr1K1rt3PP9d1/4IAN/uvW2eV+N2yAjRvtUEH3Nnu2O7UBTgNOwxgXDoeLSZOu4aSTdtGsWSbZ2YbGjW2TQaCn/cIYU3Q1v7u2wBaa8ppN/LkLAPY+G1q3jic5OYikpFQyM7NITFzPaaedxtlnn0NRtSkVwRjD6aefzty5c9mwYQPPP/88LpeLkJAQTj/99EoZPL2ryVNSUsjKymLFirWVfpy+y+Vi7dq1bNq0iebNm3sKWJs2bQKgQ4cOZVbA0qCvVDXjPXWwMVC7toMRI/rjcDjIzs4Lbqmptv3e/fTrXRA43rbwOnXsds45vvszMmDbNlsA2LwZNm2CTZtc/PVXJunpYYg4yMlxsGtXHLt2xbFoEXzxhT3X4bCBv3FjiIvz3Ro2tFudOiUvxLi/d1HctQbZ2bbmQMTQpMlZZGfvQ8Rw6FAU9ep1ZuNGG4jczQjumgjvDojumgNj8l6735cV72GGM2fOJCf3H/7888+v1MMM8wL/Ls++yhzwwTZZhYWFUatWLUaP7s7o0bu5775katWqRVhYWJnWqGjQV6oaKmjqYHfgCQ+3y/kCnoJAZqYtBKSl5Y0UsOfmPeEe79+qsLC8dn63l15ysHBhMIGejo1x0aCBAxE7++DOnXYrSEiILRjExvr+rF/fd6tdu+QB1r/W4O+//2bjxo04HPG5Iy+y+e23b2nRogX/+te/cLlsIcHdAdNdaPCvRRDxvdfu++3+t3I3P7gnNvIuLAT6WRgRYfPmzXz00fUADBs2kc2bN1fqIJo3Tr+ZZ19lH6cvIjRs2JDNm49w6JATlyuYX39tTufO22jYsKH23ldKVRzvgoB7Tn73E627MJCaagNXdrY97u457y4MHGvNwOHDMG6ckJUV+E+ViIODB4XEREN4uF1yePv2vODv3nbtgt27bV+CbdvsVtR3rlvXjoqoVy+vmaJOHfveXVMRE2M3/8mKXC4XGzduZO3aPSQlRSISzNKl7ahX708ATjvtNBwOR4kLSd4FA+/Cgnu/dzr3CAb/2OEuHHh3VLQ1GS4mTPiQw4f3IxJEcHAwEME//2zmzTfHc+uttxAU5PApQFR0TPUepx8Z2Y6QkBDP0rpQmZ/4DR9+2IyPPz6bnBwHIoZvvunG1187GDp0L/Hx2ntfKVWJOBx5HQUjI/NqBdxPru4q7vR0u6Wl5T/f/bRaWIHgxx8hKKjwP4BBQcazXkDTpnYrSFqaDf579tht92677dtn3+/bB3v32omB3MeKIyIirwBQu7ZtMlm8+Hx27IhBBBYurM8XX7QGTuPsszfQtauDmjVLvjSxO1gfK3cBwV1IyMrKe+1ywZ492Rw5UpuUlFqEhUWxfHkvatVaRGqqsHmz/XfzL0gU1BRR2OYuMPhv7u9Y2H7f+2HH6Z900umkpNQgIwNWrIjnpJMchIWFVNKAD0884WLixLp+q13aKTYnTqxLgwYunn1W2/SVUpWcw5E3gVBkZN5+d2e47Gy7ZWTkFQr8CwTu4BEUZANxWlrhwwjT0oS9e4v3xz08PG9kQGHS021nQ3ch4MABOxLBvR04YLeDB+3P1FS7+Q7Br+t59dlnecMaFixow+mn29eRkbb2xL1FR0ONGr6vo6PtCIwaNXx/ureSFAK8A6f/eS6XYdWqHsyY0TL36RO+/bYdIu3p3XsDUVEmYM2Ed0HCXYDIyfHd55+upAI1cbi9/HJjpk6tR06O/Z16+GHIzj6bK6/cy3//61sY8T/fu0Dhf38K++ldligqvb9Dh+DVV40nyPvLygrl1VeF+++3E2qVNg36Sqky5z90zj2MEPIKBN6FAneBICYGnE6Tr2DgLTzcUL9+6ebX6bRLFhdnbRwROyPioUO2ELBtG9x1V15TB8AZZ+xh6dJYn/OMyZtDobB+CMXJq7sAEBmZ99N7c0/i5P3avdiR+/WnnxpmzmxFdnZeacA9c+Nvv7XilVcMDz6Y//PLu5rfu+Dw0kvCN9/UJSsrrxSQmmoAw5Qp9ahVSxg50njO8z/f/b7gRZ58m0n80xb1HnwLKA4HTJ5c9P0KCoIvv4ThwwtPdyw06CulKpR3gcB/Yp7bboNnnin8ST8nR+jRw3jWIvB+0vLu+Ob/hFia+a9Rw25Nm8KqVXYNg+zsvDwPHrzaJ+hHRAhPPmm4/HLblHDkiJ1N0L2511Y4etQWKI4ete+TkvL2p6TY1+4mlP37S+PbBK42yMgI4o03hJkzDZGReQsiOZ150x8H+umeCdH7tXtzL6jkP2OieyuoBsNdyDh8GMaPN2RkFJznDz6AO+/M64tSEbwLG2ALhunphUf91FRT7KalktKgr5SqtGrXhvvvh5deyiYzM/+fq7CwbB54IIiOHfNqC9zVy94dDd21B95P394Kao8+lifYvXshLa3wE9PSDPv35xUWTjqp5J8D9rumpdnCQEqKbWJwT8PsbnJw1yZ4v3e/do/G2LkT9u4VRArOt4jBa/K4MufuN+KeFMl7cqTQUPuds7J8C4Qfftje5xrZ2cKwYYZTT80bbuo97DTQT++hlIF+Bnrt7gzpPZOj9+RN7jRBQbbK3umUQn9HIiKEBg20975SqhoaPRq2bdvJpElxnp7OISFZiDgYOHAno0efVOTMe27ebc7uzmvu91lZeZ0Qs7Pz0vifD3lPm96d0twFhXr1IDxccquZAwsPF+rXP/4/6g5HXhX+8fjvf+HVV4tKJQwaZLjiirzahYwMu6Wl2feZmfa9+7j7vXtfZmbePvdr/809KsHlyrtOwXzv4apVdX3e5+QY/vwT/vzzWO5KWSr83z4nB666qmw+uUKCvjHmduABoCGwErhXROYWkLY78HuAQ6eKyD9llUelVOXgcBjuvHMvXbr8ybRpkSQlRRIdncJFFyXToUMLHI4mxb5WcWbg8+bds9178++Y6N0noVcvePLJov6oG3r2zJvvwHvzL0iUh/r1bd+I1NSC00REGP71L8idAK/MuWtn3IUxd6HAvf+772D8eCEjI+9e33DDciZMOM3zPjRU6NfP0KFDXoEuKyuvkOf97+d+7/53dO9zD091/xt773OPgHAXEL3T+e9zFy5th0PJnfQq/+9JSEgW998fXCad+KACgr4x5hpgDHA7MC/35zRjTFsR2VrIqe2Ag17v95VdLpVSlYV7fvXk5G2cfz5ERUWRnJxMcjJkZDQq04lMSlpIADsy4IEH4JVXckhPz3+i05nD3XcH0aqVb/Dwfu0dNLwVp9NZcYfBeW/9+sETTxTdd+KSS8qvx15RNTdxcbZN31v79gd83htjeO65im3TD0TE8NJLLsaOdeX2/bC1V+DgwQeDePrpE2uc/khggoi8l/v+LmNMX+A24JFCztsrIqXSVUUpVbWsWLGCzMxMz5Sw8+fPZ+7cuaxYscIzdWxlMnq0sGrVP3z3XRtcLhv4nc4csrOFiy9ew/PPt8XhKN4fdv/hcP5D5Lz3B6qV8K6d8K6l8E4fHAzDhgkffJATcCKkkJBshg1zEBRkSEoKXPAobMhaQUPhijM8riC1asGtt7oYN84VsL9HaGg2t97qoGbNyrVIkCX07JlArVobefPNC4EgevVaSHz8djp3boNdMfAEaNM3xoQCHYFX/A5NB4r6n7vYGBMGrAKeFZFAVf5KqRNQ7dq1SUlJ8dkXGhpKbfesQJWMMXDffUc488x3eeONawkOdnHppb/xr3+tpUePM0vUQbCwsfWlRQTefNOwe/cafvihNTk5QYgYQkOzcLkMF1+8jldfPdUzbM19jvdrd62EuyDhfu0/Y2Cgfe71HdzX805bUH6Ngdtuc7BmzSZmzmyGy2WDe3i4kJXlokePLdx+e8t8ozoKqy0pjkBj9At6X/C5Bgijdm0n99zzCzVqpBIZmUVUVBShoaFlOqlQeT/p18WOCdnjt38P0KuAc3ZhawH+AkKBIcBMY0y3gvoBKKVOHMYYrrrqKubPn8/KlStZuXIlAJ07d660C8EYYwgNDaVFi9pERSURFJTNGWcsplmzZmX+R/1Y2I6QhscfT+eWWxK44YZTyMlxcNFFSxk0KJR69UKIiKi4PPsPe/P+edNNy+jfP5FXX/03oaHwyiuCMd8QE+OgWbOWPumL8zrQ2gdu/oWQwt4Hmg8g7zOEoKAMMjOPcuaZp9CrVyeWLl3gqdEq0yYrOZbpkY71w4yJA3YA3URkjtf+J4FBItKmmNf5CcgWkcsCHLsFuAUgNja24+TJk0sl7wDJyclEec8qosqE3ufyU9Xu9X6vweh169YtJGXFS0lJITk5mb17a9OgQTrZ2Sk4HA6ioqKIPN7u9mUoJSWFzZvtbHGxsUcIDw+v1Pk9ePAgmZmZHDhQl9jYdByOTDIzMwkNDSUmJqais1eg1NRURMTn3qakpGCMISIi4riu3aNHjwQR6RToWHk/6e8HcoBYv/2xQEmmIvgTGBjogIiMB8YDdOrUSbp3717yXBZg1qxZlOb1VGB6n8tPVbnX7oVVDh7M68sbFxdXaRdUERHmz5/P8uXLeffdzowcuZbDh/8mJCSk0i5V677Ha9eu5cwz7Xr07sVsKvP69C6Xi8mTJ/PqqyczcuQajh5dRrNmzejfv3+ZLlFbGtxLXBf0viyU6x0RkUwgAejtd6g3ML8ElzoD78WTlVInLO+V1Nq3b8/w4cM9K6ktWLCA8qytLIkdO3YQGhrKXXdNpWHDo0RGRhIaGsqOHTsqOmsBuRev8Q7w8fHxtG/fnrCwsEoZ8AESExNp0sR32GaTJk1ITEysoBwVT0JCAgsXLvT8/ooICxcuJCEhoUw/tyJ6778GfGKMWQT8AYwA4oBxAMaYiQAicn3u+3uBzdjx/KHAYKA/8O/yzbZSqiIUFIyAShuMjDG0aNGC7OxskpKSAIiMjCQ6OpoWLVpUyjwDdOzY0ac92X2vK2t+RYS0tDTmzZuHiK38zcnJYd68eZx33nll2jZ+PNzDUL2XAPYu2JZlvss96IvI58aYOsDj2Ml5VgAXi8iW3CT+M22EAi8DjYE0bPDvJyI/lVOWlVIVrCoGo8zMTJKSkjjttNPIzMwkLi6O5cuXl3lHrePln6/Kmk+w93nr1q1kZWVhjAM73j2ErKwstm7dWimbUQCfguuKFSs8wb88mlEqZEY+ERkLjC3gWHe/9y8BL5VDtpRSlVhVCkb+tROzZ88mPj4eEam0tRNVkcPhIDU1lZiYGB544Efq1avHvn01cblcpKamVuo2fXfgX+G1oEF5FGQr7x1RSqkqrioVVNz8+0hU1j4TYPPWtm1b0tLSSMtdf9n9um3btpU+7wsWLPDZVx59VHTBHaWUKmX+bbZAubXZHo+EhAQyMjI8T5zuwBQWFkbHjh0rOnsBiUi+J3qHw1ElAr73yAj3eyjbJ34N+kopVcr822xjYmI4ePBgpR76VpGdy46VMQan00nnzp09kzZFRUXRrl07nE5npcuvW0V2TtWgr5RSZaCi2myPVUV2LjseHTp0yFdNboyhQ4cOFZSj4qmozqnapq+UUmWgotpsj4d34HerzAHfv5q8bt26VWIOB7eK6POhQV8ppUpZVQ1GVa2g4l9NDlSJCYUqklbvK6VUKStoyB5U3gmFKrJz2fGoanM4VDQN+kopVQaqWjCqijMfulXFoZEVRYO+UkqVkaoWjKpaQUWVnLbpK6WU8qhqBRVVMhr0lVJKqWpCg75SSilVTWjQV0oppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJjToK6WUUtWEBn2llFKqmtCgr5RSSlUTGvSVUkqpasKISEXnocwYY/YBW0rxknWB/aV4PRWY3ufyo/e6fOh9Lh96n62mIlIv0IETOuiXNmPMYhHpVNH5ONHpfS4/eq/Lh97n8qH3uWhava+UUkpVExr0lVJKqWpCg37JjK/oDFQTep/Lj97r8qH3uXzofS6CtukrpZRS1YQ+6SullFLVhAZ9pZRSqprQoF9MxpjbjTGbjDHpxpgEY8z5FZ2nqsIY84gx5i9jzFFjzD5jzPfGmPZ+aYwx5iljzE5jTJoxZpYxpp1fmtrGmE+MMUdyt0+MMbXK9ctUIbn3XYwxb3nt0/tcSowxDY0xH+f+TqcbY1YZY7p5Hdd7fZyMMUHGmGe8/vZuMsY8a4wJ9kqj97kENOgXgzHmGmAM8B/gTGA+MM0Y06RCM1Z1dAfGAl2AnkA28KsxJsYrzYPAfcBdwFnAXmCGMSbaK81nQAegb+7WAfikrDNfFRljzgFuAZb5HdL7XApyA8YfgAH6Aadi7+ler2R6r4/fQ8AdwN3AKcA9ue8f8Uqj97kkRES3IjbgT+A9v33rgOcrOm9VcQOigBzg0tz3BtgFPOaVJhxIAm7NfX8qIMC5XmnOy93XpqK/U2XagJrABqAHMAt4S+9zqd/j/wB/FHJc73Xp3OcfgI/99n0M/KD3+dg2fdIvgjEmFOgITPc7NB375KpKLhpby3Qo931zoAFe91hE0oA55N3jeCAZW8vi9geQgv47+BsPfCUiv/vt1/tcevoDfxpjPjfG7DXGLDXG3GmMMbnH9V6XjnlAD2PMKQDGmLbY2sKfco/rfS6h4KKTVHt1gSBgj9/+PUCv8s/OCWEMsBRYkPu+Qe7PQPe4kVeafZJbTAcQETHG7PU6v9ozxgwHWgGDAxzW+1x6WgC3A/8FXgDOAN7MPfYWeq9Ly4vYh4RVxpgcbMx6TkTG5h7X+1xCGvRVuTLGvIatWjtPRHIqOj8nEmNMG2y183kiklXR+TnBOYDFIuJuW040xpyMbW9+q+DTVAldA1wPXAesxBauxhhjNonIBxWZsapKq/eLth/b/hzrtz8W2F3+2am6jDH/Ba4FeorIRq9D7vtY2D3eDdTzqj4l93V99N/BLR5bM7XSGJNtjMkGugG3574+kJtO7/Px2wWs8tu3GnB37tXf6dLxMvCKiEwWkeUi8gnwGnkd+fQ+l5AG/SKISCaQAPT2O9Qb3zYiVQhjzBjyAv4/foc3Yf/z9fZK7wTOJ+8eL8B2AIz3Oi8eiET/Hdy+AU7DPg25t8XA5NzXa9H7XFr+ANr47WtN3lLe+jtdOiKwD13ecsiLXXqfS6qiexJWhQ1bxZQJ3IztCToG2zGkaUXnrSpswNvAUWwHnAZeW5RXmoeAI8AAoD02UO0Eor3STAOWY//Dxue+/r6iv19l3vDqva/3uVTv61lAFvAYtg/FVbn39Q6916V6nycA27HDIpsBVwD7gFf1Ph/jPa3oDFSVDdtpZzOQgX3y71rReaoqG3ZoTKDtKa80BngKW22aDswG2vtdpzbwaW4B4mju61oV/f0q8xYg6Ot9Lr172w/4O/c+rsWOJTd6r0v1HkcDr2NrUNKAjdh+K069z8e26YI7SimlVDWhbfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UhXAGBNvjPnCGLPTGJNpjDlgjJlhjBlqjAnKTXODMUaMMc28zttsjJngd61LjTHLjTHpuelrGWMcxpjXjTG7jDEuY8w3ZfhdmuV+7g1FpHN/n1ZllZdjZYzpb4wZGWB/99w86+Ja6oSgC+4oVc6MMfdi5w//DTub2Bbs5CF9gHeAw8C3BZx+BXZyEfe1goFJ2OlE78DOHJkEXAncA9yHnYb0QL4rKW/9satmvlbB+VCqTGnQV6ocGWO6YgPLWyJyt9/hb3NXIYws6HwRSfTb1Qg7a9kXIjLH63NOzX35uoi4SiHfYSKScbzXUUpVLK3eV6p8PQQcBB4MdFBENojIsoJO9q7eN8Y8hZ0aGuCD3GroWcaYzdhpSQFyvKvejTENjTETjTH7jTEZxphlxpjBfp/hrobvaoz50hhzGPgz91iEMWZsbnNEsjHmO6DxMdyHAhljbjHG/J3bXLHfGPOBMSbGL40YY541xtxtjNlkjEkyxsw2xrTzSxeUm26XMSbVGPObMeaU3POfyk0zARgKNMrdL7n30FuEMeat3PzsN8Z8aoypVZrfW6nyoE/6SpWT3Lb6HsA3IpJeCpd8H1gBfAk8C/yIrfoPw84DfwN5K4ttMMZEYuclrw08CmwDBgOfGGMiRGS83/UnAf/DNhW4/1a8i12AajTwF3Z1s89K4bsAYIx5Adsk8QbwALYm41mgvTGmi4h4r7g2GFiDbcYIxS7D+q0x5hQRyc5NMzr3u74M/Ap0BL7z+9hngHrYRXQuy93nX6sxBvgBu657G+Al7GpvQ4/n+ypV3jToK1V+6gLh5C2/elxEZLsxZmnu2w0istB9zBizIzeN9747gZOBHiIyK3f3NGNMLPCsMeYDv6D6lYg86HV+G2zQe0xEXsjdPd0YEwWMON7vk9th8QFgtIg87bV/LTAPuBS7fLBbFnCJiGTlpgNbADobmG+MqQ3cC4wTkYdyz5lhjMkEXnVfREQ2GGP2AZne98vPHBG5K/f19Nx7cbMx5gbRBUxUFaLV+0pVH12BHV4B3+1T7JNuW7/9X/u974z9m/GF3/7JpZS/3rnXn2SMCXZv2KaFJGz+vc1wB/xcy3N/Nsn9eRq2f8SXfud9dQx5+9Hv/XJsjUrsMVxLqQqjT/pKlZ8D2OVBm1bQ58dglx/1t9vruDf/tA1zf+7x2+///ljVz/25voDjdfzeH/R7766Sd+b+dOd3r1+6Y8lvUZ+lVJWgQV+pciIi2caYWUDvCuoNfxDbHu2vgddxb/7V1u5CQCx2XXO83pcG97DCPsChQo4Xlzu/9YGVXvv16VxVW1q9r1T5egH7xPpSoIPGmObGmNPL6LNnA42NMef67b8O+zS8qojz/wRcwNV++weWTvaYkXv9JiKyOMC2qYTXWw6kAFf57fd/D/bJPbzkWVaqatEnfaXKkYjMyZ357TVjTFtgArAV26P+AuBmbBAucNjecZiA7ek+1RjzGLAdGIRtS7/VrxNfoLyvMcZ8BjxtjHFge+/3AS4uYT76GmN2++07IiIzjDEvAm/ldpSbDaQDJ+Xm8X0R+b24HyIih4wxrwOPGmOSsL33OwA35Sbxnr9gFRBjjLkNWAyki8hylDrBaNBXqpyJyOvGmEXA/wGvYHv1J2GDza3A92X0uSnGmG7YWoYXsJP6rAGGiMinxbzMrUAycD92mNxv2ELKvBJk5c0A+1YC7UXkUWPMauzsgndgmxi2ATOBdSX4DLdRgMEG+ruxtRU3AH8AR7zSvQ+cA/wHqIUdYdHsGD5PqUrN6GgTpVR1Yoy5Etujv6uIzK3o/ChVnjToK6VOWMaYzkA/7BN+OnZynoexNRxddIy9qm60el8pdSJLxo7vvwOoge2w+AXwiAZ8VR3pk75SSilVTeiQPaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDXx/69Ag5Ezb/uTAAAAAElFTkSuQmCC\n", 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" 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rl2zcuFFGjRolERERsnbt2iI/b6De+4cOHZKNGzfKkiVLBJDZs2fLxo0bJSUlRUSsUQ4XXHCBJCcny6effiq//PKLrFq1Sh588EFZvnx5ke/1yy+/SGxsrPz973+Xbdu2yezZsyUyMlLmz5/vSfOPf/xDli9fLrt375YffvhBJk6cKMYY+fTTT4s8b0m0935hFNN7v9IDc0U+ghH077vPKVFRuQIi06cvERDPIyoqV+67z3nK76F8nQ7/ccv73du/f78MGjRI6tSpI3Xq1JGnn35aPv30U2nUqJE89NBDwc2kFB/0+/TpIwkJCeJwOKRbt26FfpjdQ9XmzJnjs33OnDnSunVrcTgc8qc//Uneeecdn/3/+Mc/JDExUSIjI6V169by9NNPi8vv6vnw4cMydOhQqVGjhtSoUUOGDh0qR44c8Unz7bffyiWXXCI1atSQ2NhYSU5OlgceeKDYz+tyueShhx6SpKQkiY6Oll69esnmzZt90owYMUKAQg/v72Wg/d6Piy66yOec/uW8fft2ueaaa6RBgwYSGxsrHTp0kNdff90nTfPmzWXEiBGe1+PHj5dmzZpJVFSU1K9fXwYMGCCrVq0q9vMGCvpz5swJmGfv79fx48flb3/7mzRu3FgiIyOlSZMmMnjwYNm5c2ex77d06VI599xzJSoqSlq0aCEvv/yyz/4RI0b4fIaLL75YPvvss2LPWRIN+oUVF/SNtf/01KVLFzmV5U2PHIFGjYTsbOu+4pgx3zNrlm8nG4dDSEkx1Kp1KjlV3k6HqTS7dOmiS+sqDy3niuP9f+10+O0IBmPMBhEJuOZwVZiRr9LMnw92+8lhQ/4BH6z98+aFMldKKaVU+WjQL0ZqKpw4UXxLyIkTQqquAKCUUqoK0KBfjKQkiI0tPk1srJVOKaWUCnca9Itx7bVQMBFfkZxOuO660ORHKaWUOhUa9ItRuzbcfbfB4bAif1SU7xWAw+Hk7ru1E59SSqmqQYN+CR5+WBg8+HciIvKIj88FwG7PJSIij8GDf+fhh0/f0Q8quEaOHBlwPfTu3bt70rRo0cKzPTY2luTkZGbNmuVzntzcXKZNm8a5555LbGwsderUoXv37rzyyishneQkJSWFG264gbZt22K32xk5cmSpjvP+jO6H/5K9gcrJe6rX7OxsRo4cSYcOHYiMjAxqj+2cnBzuuOMO6tWrR1xcHFdddRX79u3z7P/+++/5y1/+QtOmTYmJiaFNmzZMnTq1TBPrlEV2djYdO3bEGFOmESH//Oc/McYwbtw4n+0iwpQpU2jUqBExMTH07t2brVu3evYvXbo0YPkbY5gXhF7L77//Pu3btyc6Opr27dsXmtDngQceoG3btsTFxVG7dm0uvvjikC+IdDrToF8CY+DSS1dx773PU7NmNgAdO27m7ruf59JLV1HGZbRVNdevX79C66F/+umnPmkefPBBUlJS+OGHHxg0aBC33nqrZ4753NxcLrnkEh5//HFGjRrFN998w4YNG5gwYQJz5sxh9erVIfssOTk51KtXj4kTJ/pMeVsa7s/oftx///2F0syePdsnzYgRIzz7nE4nDoeDcePGcfnll5/yZ/E2fvx43n//fd59911WrFjB8ePHueKKKzyLbm3YsIH69evz5ptvsnXrVh5++GHPAkNFWbFiBS1atChXfu6++26aNGlSpmPWrFnDrFmz6NChQ6F9U6dO5emnn2bGjBl8++23NGjQgP79+5Oeng5Yc/r7f0cnTZpEfHw8l112Wbk+g9vq1asZPHgwQ4cOZdOmTQwdOpTrrruOtWvXetK0adOGF198kc2bN7Ny5UpatmzJpZdeWmiKX1VORQ3gPx0ewZicx+l0yksvvSSPPPKIdOqUIiAyatQaeeihx+Sll14Sp1Mn5wm202GCjUDfvREjRsjll19e7HHNmzcvtKZ669atZciQISIi8tRTT4kxJuDa5k6ns9j15AMpbnKesrj88st9JpIpTqDP6A+QefPmlep8t99+e6HJcNw++ugj6dSpk0RHR0uLFi1k8uTJkpOTU+S5jh49KpGRkfLWW295tu3du1eMMcVOInPPPfdIp06ditz/ySefSPPmzUv8LP7+97//Sfv27WXbtm0ClLimvYj1GVq1aiVff/11ocl5XC6XJCUlyWOPPebZduLECYmPjy92TfvWrVvL6NGjfbbt27dPBg8eLLVq1ZJatWrJwIEDZfv27cXm7frrr5d+/fr5bLv44os93+9Ajh07JkCR5a+T8xRGMZPzaE2/BDabjcTERM444wzci061atWVFi3OIDExsUwrgylVHg6Hw7Me+dtvv02/fv0KzbEO1nfVvfhJIPHx8YUeDRs29Dw/1VpcWUyfPp26detyzjnn8Pjjj5Obm1sozd///nfq1atH165dmTlzZpmbzz///HOGDh3KuHHj2Lp1K6+99hrz589n8uTJRR6zYcMG8vLyfNaFb9q0Ke3atSu2ifn48ePUrl27TPkryb59+7jtttt45513Sly1z9uYMWO49tpr6dOnT6F9u3fvJjU11efzxcTE0KtXryI/39KlS9mxYwdjxozxbDtx4gR9+vTB4XCwbNkyVq9eTcOGDenXr59nbYFAVq9e7fPeYC3jXNR75+bmMmvWLGrWrFnsssOq9HTBnVK45pprcLlcfPihdV/v6FEbf//79dSooQFflc1nn33msywpwO233+5ZW95bfn4+b731Fps3b+a2224DYMeOHeW+f+29MppbRkaGJz9lCSyn4m9/+xvnnnsudevWZd26dUycOJHdu3f7rC73yCOP0KdPH+Lj4/nqq6+46667SEtLC3gboCiPP/4499xzD6NGjQLgjDPO4KmnnuLGG29k2rRpnhX8vKWmpmK3231WhQNrtcPUIibk+O6773j99dd5++23Pdv27t3rs9qge7XO0i5J63Q6GTp0KHfddRcdO3Zkz549pfrMs2fPZufOnbz11lsB97s/Q2JiYqHP9/vvvwc8ZtasWZxzzjk+F5pz585FRJgzZ46nHF955RUaNGjAxx9/zPXXX1/k+wd6b/+y/fjjjxkyZAgnTpygYcOGLF68uNBxqnw06JeSzWajVi2rtnX4MLhcGvBV2fXq1atQx7xafsM/7rvvPqZMmUJOTg5RUVHcc889nrXh5RSmzQ60MlplTA87YcIEz/MOHTpQs2ZNBg8ezFNPPUXdunUBqzOX2znnnIPT6eTxxx8vU9DfsGED69at87mgcrlcZGVlkZqaypw5c3jiiSc8+7Zt21bmz/Lzzz9z+eWXM378eP785z97tjdq1MjnImvp0qVMmTKFpUuXerYV1yrzxBNPEBUV5VNWpcnL5MmTWblyZbGr2pXFoUOH+OCDD3jmmWd8tm/YsIHdu3cX+u6cOHGCXbt2FbromTx5crEtLP769OnDpk2bSEtLY/bs2Vx//fWe1gR1ajTol0Ht2lbQP3IEClpblSqT2NjYEtddnzBhAjfffDOxsbE0bNjQp0Z61lln8eOPP5brvf1bGPxdeOGFLFq0qFznPhXuToA7d+70BP1AaY4fP87+/ftLXeNzuVw89NBDXBdgIo369eszduxYnxppo0aNSEpKwul0kpaWRn33/TysdeEvvPBCn3P89NNP9OnThyFDhhTqxBcREeHz77x9+/ZC24rz1VdfsWLFikLBu3v37gwePNinVcFt9erVpKWlcfbZZ3u2OZ1Oli9fzsyZM8nMzCSpYCax/fv3e5Zvdr9OCjDL2BtvvIHdbmfo0KE+210uF+eccw5z584tdEydOnWoWbOmz0VPnTp1AEhKSirUIS/Qe8fFxXHmmWdy5pln0r17d1q3bs2rr77qczGoykeDfhkkJFj3HTXoq4pUt27dIoPDDTfcwKRJk1i/fn2h+/oul4uMjIwia5Dh0rzvz52v4mpxmzZtwuFwFGoVKU6nTp346aefiizLOnXqeIKRW+fOnYmMjGTx4sXccMMNgHVv/ccff6Rnz56edNu2baNv375cf/31PPvss6XOU2nNmTOHzMxMz+s//viDSy65hLfffpvzzz8/4DGDBg0q9J0YNWoUrVu3ZvLkyURFRdGyZUuSkpJYvHgxXbt2BawhgStWrGDatGmFzvnqq69y3XXXkZCQ4LO9U6dOvPvuu9SrV6/If5NA5d6jRw8WL17MPffc49m2ePFin7INxOVyhXQ46ulMg34ZeDfvB+h3pFSJcnJyCt2/tNvtPrXK4owfP55PPvmE/v378/DDD9OrVy8SEhLYuHEj06dP54knnijynn9FNO+7A/bx48ex2Wxs2rSJqKgoT9PuggULmDRpEl999RWNGzdm9erVrFmzhj59+pCQkMC3337LnXfeyVVXXeWpeS5cuJDU1FR69OhBTEwMS5Ys4cEHH2TMmDFER0d73nvbtm3k5uaSlpZGRkaGJy/uDl8PPvggV1xxBc2bN+f6668nIiKCLVu2sG7dOqZOnRrw8yQkJHDzzTdz77330qBBA+rWrcuECRPo0KED/fr1A2Dr1q307duXPn36MHnyZJ9/T3eN1el0cvDgQc/2s846izVr1vikjYmJKRRM3Vq2bOnz2n1hdsYZZ/gM32vbti3jxo1j3Lhx1KpVq1AAjouLo06dOiQnJ3u2jR8/nieeeIK2bdty1lln8dhjjxEfH++5yHFbuXIl27ZtK3Q7CmDo0KFMnz6dq6++mkceeYRmzZrx22+/8eGHHzJ27Fhat24d8HP9/e9/p1evXjz55JMMGjSIBQsWsGTJElauXAlY36OpU6dy5ZVX0rBhQw4ePMiLL77Ivn37iuwnoMqoqG79p8MjGEP2vL3zzmoBkcaNRXbsCOqplZfTYdhNUUP2CLCOeePGjT1pSjOcLTs7W5588knp0KGDOBwOqVWrlnTr1k1mzpxZ7HC0QE51yF6gz+M9NM29dvvu3btFRGTDhg3SrVs3SUhIEIfDIW3atJGHHnpIMjMzPccsWrRIzjnnHImPj5fY2FhJTk6W5557TvLy8nzeu3nz5gHf39vnn38uF1xwgcTExEiNGjWkc+fOMmPGjGI/U3Z2towbN07q1KkjMTExcsUVV8jevXs9+x966KGA7+v93rt37y4yjftR2iGO3ufzH7IHyEMPPVTkcf5D9kSsYXsPPfSQJCUlSXR0tPTq1Us2b95c6Njhw4dLu3btijx3amqqjBw5UurXry9RUVHSokULGTVqlBw8eLDYzzJv3jxp06aNREZGStu2beX999/37MvMzJRBgwZJw4YNJSoqSho2bChXXXWVrFmzpsjz6ZC9wihmyJ6RU+gYFO66dOkiwVzTfNGiFQwceCEOB2zaBK1bg47YC77TYU1s7zW+w5mu8x4aWs4Vx/v/2unw2xEMxpgNIlJ4XC86I1+ZOBxOHA7IzoasLKigWTeVUkqpCqFBvwyMAXfn4kOHSl6BTymllAonGvTLyD1nx5EjGvSVUkpVLRr0y8gd9A8f1qCvlFKqatGgX0bukVU6Vl9VFSNHjuSKK66o7GxUWcnJyUyZMqWys6FUUGjQLyPv5n0N+ipcjBw5MuD655s2beL555/3mYu9d+/ehdZYV+HnpZdeomXLljgcDjp37syKFStKPGbZsmV07twZh8NBq1atipzbH+Cf//wnxphC34VA3yNjDLfffrsnTUZGBnfccQdNmjQhJiaGNm3aVMgkRSr4dHKeMmrQwPp79KhO0KPCS79+/XjzzTd9ttWrV4+ICP1vnpubS1RUVGVno9Tee+89/v73v/PSSy9xwQUX8NJLL3HZZZexbds2n+lzve3evZuBAwdy00038dZbb7Fy5Ur++te/Ur9+fZ91AQDWrFnDrFmz6NChQ6HzpKSk+Lxev349V155pc/kOBMmTODLL7/kzTffpGXLlixfvpzRo0dTr149hg0bFoQSUBVFa/pl5G7eP3xYa/oqvERHR5OUlOTziIiI8GneHzlyJMuWLePFF1/EGEPNmjUDruA2atQo6tev77Mgze7du4mKiipyBTeADz74gA4dOhATE0OdOnW46KKLfOZanzp1KklJScTHxzN8+HCmTJlCixYtPPsD3YqYMmWKz4xy3377LQMGDKBevXrUrFmTCy64gNWrV/scY4zhxRdf5JprriEuLs6z2MvChQs9NeGWLVty3333+Szre+DAAa6++mpiYmJo3rw5r732WjElXnGeeeYZRo4cyejRo2nXrh0zZsygYcOGvPzyy0UeM3PmTBo1asSMGTNo164do0ePZsSIEUyfPt0n3bFjxxg6dCivvfZawOWA/b9DH374IWeddRYXXXSRJ82qVasYNmwYffr0oUWLFgwfPpzu3buzdu3a4BWCqhAa9MvIvdbH4cOQnw+n8dxG6jT0/PPP06NHD0aNGkVKSgo7duygadOmhdI988wz/POf/+SBBx7g559/Bqxpbdu0aVNoula31NRUhgwZwogRI/jxxx9Zvny5T63vv//9L/fffz8PP/ww3333HW3atCm0eltppKenM2zYMFasWMG6des455xzGDhwIIcOHfJJ9/DDDzNw4EA2b97M7bffzueff87QoUMZN24cW7du5bXXXmP+/Pk+q7+NHDmSnTt38uWXX/K///2PN954o8RlbVesWEF8fHyxD//AW5zc3Fw2bNhQaN35AQMGFLnuPBS9Vv369evJ86qhjBkzhmuvvZY+ffqUmJeMjAzmzp3L6NGjfbZfcMEFLFy4kN9++w2wLgI2bdrEpZdeWuI5VeXSdr8y8q7pgzVBj91eeflRyu2zzz7zWUkv0Kp5CQkJREVFERsbS1JSEunp6dgDfIFr167NLbfcwvz583njjTf4y1/+wjvvvMMHH3yArYhpKP/44w/y8vK49tprad68OYBPDf25555jxIgRnmWC77vvPpYsWcLOnTvL9Dn79u3r83rGjBm8//77LFq0iBtvvNGzffDgwdxyyy2e1yNGjOCee+5h1KhRgDWP/VNPPcWNN97ItGnT2LFjB4sWLWLlypWeRW3+85//0KpVq2Lz06VLl4CLGXkry1K3aWlpOJ3OgOvOf/nll0Uel5qa6lkfwPuY/Px80tLSaNiwIbNnz2bnzp3FttZ4e+edd8jNzWXEiBE+2//1r39x66230qxZM8/toxkzZmiH0SqgUoK+MeavwD1AQ2ArMF5EiuylYoy5HRgHtAD2Ao+LyBshyGoh7v+H7kqF06lBX4WHXr16+SyOEoxV84YPH86kSZPYvHkzXbt25eqrrwbg7bff9gRvgEWLFtGzZ0/69etHcnIyAwYMoF+/flx77bWexYR+/PFHnyAM1qprZQ36Bw4c4IEHHmDJkiXs378fp9NJVlYWe/fu9Unnv+Lchg0bWLduHU899ZRnm8vlIisri9TUVH788UdsNhvnnXeeZ3/z5s1p1KhRsfmJiYkpccnc9PT00n68CvPzzz8zefJkVq5cWeqLkNmzZ3P11VcXWhBqxowZrFq1io8++ojmzZuzfPly7r77blq0aKG1/TAX8qBvjBkMPA/8FVhZ8HeRMaa9iOwNkP424ClgNLAWOA+YbYw5IiILQ5dzi7sjn3fQVyocxMbGlnq99tIaNGgQY8eOZeHChT61zKuuuopu3bp5Xjdu3Bi73c4XX3zBmjVr+OKLL/j3v//NpEmTWLZsGR07dizV+9lsNvzXA8nz6zwzYsQI9u/fz7PPPkuLFi2Ijo7m4osv9rk3D9YKc95cLhcPPfQQ1113XaH39Q5qxphS5dVtxYoVXHbZZcWmueuuu3j44YdLdb569epht9tLte68t6LWqo+IiKBevXp8/vnnpKWlcfbZZ3v2O51Oli9fzsyZM8nMzPRZxXDTpk2sX7/ep18HQFZWFpMmTWLevHlceeWVAHTo0IFNmzYxffp0DfphrjJq+hOA10VkdsHrO4wxlwK3AZMCpB8GzBaRdwte/2KM6Qr8Awh50K9ZEyIjITPTmoNfg76qaqKionCW8osbGxtL69atMcZw8cUXe7bXqFEj4AIyxhh69OhBjx49ePDBBzn77LN577336NixI+3atWPNmjXcdNNNnvRr1qzxOb5+/fqFmsr9X69cuZJ//etfXH755YAV2Px7nAfSqVMnfvrppyIvjNq2bYvL5WLdunWe9d337t3LH3/8Uex5g928HxUVRefOnVm8eLHPBcrixYsL9cL31qNHDxYsWOCzbfHixXTp0oXIyEgGDRpUqPVj1KhRtG7dmsmTJxca3TBr1ixatmxZ6JZBXl4eeXl5hW4L2e12XLogSdgLadA3xkQBnQH/Xi1fAD2LOCwayPbblgWcZ4yJFJGQ9qE3BurUgf37rbH6+fmhfHelTl2LFi1Yt26dp4NaXFxckffpFy9ezHfffUd8fDwnTpwgNja2yPOuWbOGL7/8kksuuYTExEQ2btzIb7/9Rvv27QFrLfXhw4fTtWtXevfuzfz581m7di116tTxnKNv375MnTqV1157jV69evHBBx/wzTff+Kwhf9ZZZ/HWW2/RrVs3MjMzuffee0s1HO/BBx/kiiuuoHnz5lx//fVERESwZcsW1q1bx9SpU2nTpg2XXnopt956K7NmzSImJoYJEyaUeJukIpr3J0yYwLBhwzjvvPM4//zzmTlzJn/88Qdjx471pBk+fDgAb7xh3ekcO3YsL7zwAuPHj+fWW2/lm2++4fXXX+fdd636Uq1atahVq5bP+8TFxVGnTh2fvhcAJ06c4O233+bee+8t1PJRs2ZNLrroIiZOnEh8fDzNmzdn2bJlvPHGG0ydOrVMn1OFXqhr+vUAO7Dfb/t+oF/h5AB8DtxsjPkAWI910XALEFlwPp9LfGPMGGAMWJ1Yli5dGqy8k5GRwdKlS4mL6wLEs3nzevLyMtBh0MHlLueqLDs7O6T3cfPy8sjPzw/4nv77xo4dy9ixY2nfvj1ZWVls3rzZ0/HO38SJE7n88sv54YcfePvttxkyZEiReYiIiGDZsmX861//4tixYzRu3Jh7772Xq6++mvT0dAYOHMikSZOYPHkyWVlZXHbZZdx+++288847nrz17NmTiRMnetJcd9113HLLLXz66aeeNDNmzOBvf/sbnTt3JikpiUmTJrF//35ycnJ8Pn9WVpbP6549ezJv3jymTp3K9OnTiYiI4Mwzz+SGG27wpHvhhRe444476Nu3L3Xr1mXixImkpqYWOndZOZ3OMh0/cOBAnnzySR599FFSU1Np37498+fPp06dOp7z7N69Gzh5QVGvXj3mz5/PpEmTePnll2nYsCFTp05lwIABRb630+kkNze30P633nqLzMxMrrvuuoDHvvrqq0yZMoUbbriBI0eO0LRpU+6//35GjBgR8v4L2dnZnt+L0+G3o8KJSMgeQCNAgF5+2x8Efi7imBjgNSAPyAd+x7rHL0Bice/XuXNnCaYlS5aIiEivXiIg8vrrIvv2BfUtlJws56os2N+9inL8+PEi933wwQdis9lky5YtMnnyZOnfv3/Q33/atGnSvHnzoJ833BRXzurUeP9fOx1+O4IBWC9FxMVQj9NPA5xAot/2RCA10AEikiUiNwGxWL33mwF7gHTgYEVltDjeU/HqrHzqdORyuXjggQf4y1/+wtlnn83w4cP56quvePnll0lLS6vs7CmlyimkQV9EcoENQH+/Xf2BomedsI7NE5F9IuIEhgAfi0il9BrxXnRHJ+hRp6O3336bn3/+2dPjvE2bNjz66KM88MAD3HPPPZWcO6VUeVXGjHzPACONMbcYY9oZY57HavafCWCMecMY4xmDb4w5yxgzzBjT2hhznjFmLpAMTA549hDwnqBHRHvwq9PPsGHDyMvL44wzzvBsmzx5MmlpacyZMydo73P33XeXOOOdUip4Qt4FTUTeM8bUBe7HmpxnCzBQRH4tSOK/moQda5hfG6z7+kuAniKyJzQ5Lswd9L3H6mtnPqWUUuGuUkKViLwEvFTEvt5+r38Ezg1BtkrNf4Ke/HzwmtNCKaWUCku64E45eAd9Y3SsvlJKqapBG6XLwTvo22yQk1O5+VHhp2HDhoVmPwtH2dnZOByOys7GaU/LueI0bNiwsrNQpWjQLwfvoB8RoUFfFbZwYchniC6XpUuX0rt378rOxmlPy1mFCw365VCnjrWyXnq6Nu0rpZSqOvSefjlEREDt2tbzo0et3vu6zoRSSqlwp0G/nNxrhOgSu0oppaoKDfrlVLeu9dc9QY828yullAp3GvTLyR303cP2tKavlFIq3GnQLyf3ojvuYXu68I5SSqlwp0G/nLyn4rXbddieUkqp8KdBv5y8x+pr0FdKKVUVaNAvJ++V9ux2yMur3PwopZRSJdGgX06JidZfd0c+XWJXKaVUuNOgX07u5v2DB62/OmxPKaVUuNOgX05Nmlh/U1OtgK/D9pRSSoU7DfrlVKsWxMVBVhYcO2Zt0/v6SimlwpkG/XIyBpKSrOcpKVZnPh2rr5RSKpxp0C8nm02DvlJKqapFg3452Wwne/CnpFgr7+lYfaWUUuFMg345GQMNG1rP//jDugjIz7c69SmllFLhSIP+KXAH/ZQU668O21NKKRXONOifgsaNrb/uoK/D9pRSSoUzDfqnwD/og9b0lVJKhS8N+qegaVPrrzvo22w6Vl8ppVT40qB/CurVg5gYyMiA9HQr6OuwPaWUUuFKg/4piIgoPFY/O7ty86SUUkoVRYP+KbDbC4/V1+Z9pZRS4UqD/inwn5XPGHC5tDOfUkqp8KRB/xT4B33QsfpKKaXClwb9U+A/FS9YtX0N+koppcKRBv1TYEzhoG+36xz8SimlwpMG/VMQqHlfe/ArpZQKV5US9I0xfzXG7DbGZBtjNhhjLiwh/Q3GmE3GmBPGmFRjzFvGmKRQ5bcodrvvojtg9eDXoK+UUiochTzoG2MGA88DTwDnAquARcaYZkWkPx94E/gPcDYwCGgPvB2K/BbHGGuCnqgoOHYMMjNPrranc/ArpZQKN5VR058AvC4is0XkRxG5A0gBbisifQ9gn4g8KyK7RWQNMAPoFqL8FisysnATv3bmU0opFY5CGvSNMVFAZ+ALv11fAD2LOOwboKEx5kpjqQcMAT6tuJyWXlRU4aAPGvSVUkqFn1DX9OsBdmC/3/b9QMB79CKyGivIvw3kAgcBA4youGyWnv9UvKBz8CullApPEZWdgZIYY9pjNec/CnwONASmAa8AwwOkHwOMAUhMTGTp0qVBy0tGRkah8zmd4HC0Aprx/fe/cPbZexGB3butpn9VdoHKWVUMLevQ0HIODS3nkoU66KcBTiDRb3sikFrEMZOAdSIyreD1D8aYTGCFMWayiOzzTiwis4BZAF26dJHevXsHK+8sXboU//NlZID7O+Z0tuLss1vhdFpz8LdqFbS3rlYClbOqGFrWoaHlHBpaziULafO+iOQCG4D+frv6Y/XiDyQW60LBm/t1pc8z4D1sz3usfn6+NQ+/UkopFS4qo3n/GeBNY8w6rE56Y4FGwEwAY8wbACLibrpfCMw2xtzGyeb954DvRGRvaLNemP9Ke97y862OfkoppVQ4CHnQF5H3jDF1gfuxAvgWYKCI/FqQpJlf+teNMTWAccDTwDHga+Afoct10QLNv++mQV8ppVQ4qZSOfCLyEvBSEft6B9g2A6szX9ix260JeiIi4PBhazY+h8Maq5+bC7GxlZ1DpZRSylLp98SrOmN8h+2lFnRHtNshK6vy8qWUUkr506AfBIFm5YuM1Dn4lVJKhRcN+kHgHfTdC+/Y7dawPZHKy5dSSinlTYN+EERGFt+ZTymllAoHGvSDICoqcNAXsWr7SimlVDjQoB8EdnvgRXeM0aCvlFIqfGjQD4Kign5EhHbmU0opFT406AeB9wQ97o58oEFfKaVUeNGgHwR2O9SvD9HRkJZmLcLj3p6bqz34lVJKhQcN+kFgs1kBvnlz6/WePdZfY7Qzn1JKqfChQT8IbDbr0bKl9XrXLt/9GvSVUkqFAw36QRIZCS1aWM937z653WbT+/pKKaXCgwb9IImIONm87x30IyLgxInKyZNSSinlTYN+kERFnQz6v/xycrt7Dn7tzKeUUqqyadAPkshIaNbMeu5d03d35tPpeJVSSlU2DfpBEhFhDduLjYUjR6yHt9zcysmXUkop5aZBP0jsdqtW7+7B79+ZLyencvKllFJKuWnQDxJbQUm6g773ff2ICMjMDH2elFJKKW8RZUlsjOkOXAp0BxoBMUAa8DOwDPifiBwp+gynL7vd+tuqlfXXu6YfGWn14BexWgOUUkqpylCqmr4xZoQxZjOwCrgTiAV2AGuBI0A34FXgd2PM68aYlhWU37Bls1lBPVDzvnbmU0opFQ5KrOkbY34A6gNvAMOBTSKFB6AZYxKAK4ChwDZjzEgReS/I+Q1b7ql43TV97+Z9t7w8q9avlFJKVYbSNO//G3hFRIqdV05EjgFvA28bYzoCSUHIX5USEeE7bM+7Od89M19sbOXlTymlVPVWYvO+iDxfUsAPcMz3IvJ5+bNVNUVGQkIC1KplrbR38ODJfTozn1JKqcqmvfeDKCoKXK7A9/UjIyErS2fmU0opVXlKHfSNMYOMMXOMMWuNMTsKHmsLtg2qwDxWGRERvkHf+76+MdY+7cynlFKqspSmI19tYCHQE9gLbAW2F+yuA/QGRhhjVgNXVNche2DV5kUCD9sDK/BrZz6llFKVpTQd+Z4GmgEXiciKQAmMMRcAbwHTgZuDl72qpbhhe+79OTnamU8ppVTlKE3z/lXA3UUFfAARWQn8AxgUpHxVSe6peIsatqcz8ymllKpMpQn60VgT8JTkKBB1Srmp4tyz8rlr+nv2WPfx3XSZXaWUUpWpNEF/NXCfMaZGUQkK9k3CmrGv2nI379eoYa24l50NKSkn9xsDTqd25lNKKVU5SnNPfzywFPjVGPMJsIWTNf/awNnA5YAT6BP8LFYdNptVm3f34D940Grib9z4ZBpjrPv62plPKaVUqJUY9EVkW8EMe/cCVwI3AO5lYwTYgzVF7zQR+aOC8lllREVZNfmWLWHdOqsz34UXntxvt1v39ePjKy+PSimlqqdSrbInIilYC+3caYxxYNXwAY6KSFZFZa4qio62avJFdeaLitLOfEoppSpHmWfkE5FsEUkpeJQr4Btj/mqM2W2MyTbGbDDGXFhM2teNMRLgEZah0+Gw7tsXNWzPbrdaAvLyQp83pZRS1VuJQd8Yc01ZT2qMaWiM6V7EvsHA88ATwLlYnf8WGWOaFXG6vwMN/R6/AP8ta75CIaKg7aS41fZEIDc3dHlSSimloHQ1/RnGmE3GmLHGmDrFJTTGXGiMmQXsBDoUkWwC8LqIzBaRH0XkDiAFuC1QYhE5JiKp7gdwBtAKmF2KvIec3W4F9RYtrNd79xau1eviO0oppSpDae7ptwbuBh7BugD4EfgeOAjkYN3fbwV0ARKA5UB/ESk0fM8YEwV0xpq5z9sXWNP8lsZoYGug84cDd00/JgaaN4dff4WdO6Fdu5NpoqIgPd0a1qeUUkqFSml6758AHjHGPAn8H3Ap0A1oBDiAQ8BPWE3274nIT8Wcrh5gB/b7bd8P9CspL8aYBOB6rDkBikozBhgDkJiYyNKlS0s6ballZGSU6ny5udbQvGbN2vPrrw347LMfcbl8P7LLZbUCqMJKW87q1GlZh4aWc2hoOZesVL33AUQk1xjzFfChiGRXYJ6KcyPWLYk3i0ogIrOAWQBdunSR3r17B+3Nly5dSmnOt2+f1Vnv/PNhxQo4cqQdZ5/dzidNRoY1fj8uLmjZO22UtpzVqdOyDg0t59DQci5ZaTry2Y0xU4wxR7Bq5MeNMe8bY2qV4/3SsCbxSfTbngikluL40cD7InK4HO8dMtHRVg/+P/3Jer15c+E0djtk6WBHpZRSIVSajnxjgQeBjVj34j8ErgaeLeubiUgusAHo77erPyVM4WuMOQ/oSJh24PPmcFjN98nJ1uutW33n4AdrRr709NDnTSmlVPVVmqA/GpgtIn1F5B8ich1wO3BjQce8snoGGGmMucUY084Y8zxW/4CZAMaYN4wxbwQ4bgywQ0SWluM9QyoiwurBX68eNGxoTcbjP14/IsLq1a/z8CullAqV0gT9VsA8v23vYXXIa17WNxSR97Dm878f2ARcAAwUkV8LkjQreHgULOgzBHi1rO9XGdyr7cHJ2v6WLYXT6Xh9pZRSoVSaoB8PHPfb5m6YLnLlveKIyEsi0kJEokWks4gs99rXW0R6+6VPF5F4EZlanvcLNXdNH/S+vlJKqfBR2t77jY0xrbxe2722H/VOKCIB5qCrXrxX2ysu6LvH69etG9r8KaWUqp5KG/TnF7H9fwG22QNsq3aio6179t7N+yLW+H23iAgr6DudvrcElFJKqYpQmqA/qsJzcRqKioLsbKsjX926cOiQNX6/adPCaXNyIDY29HlUSilVvZRmRr7/hCIjpxuHA44etWr2ycmwbJnVxO8f9CMirIl6NOgrpZSqaGVeWleVTqDOfIF68EdHw/HjJ9MqpZRSFUWDfgUJNGwvUGc+m826p5+TE5p8KaWUqr406FeQ0tb0wQr8OnRPKaVURdOgX0G8h+01bw41a8KBA7Dff31BrCb+o0dDnkWllFLVjAb9ChQdbU2zawycfba1LVATf0SENTNfXl5o86eUUqp60aBfgdyr7UHx9/XBujDQJn6llFIVSYN+BYqOPrm6nvu+/tatgdNGRlq9+JVSSqmKokG/ApV2Dn6wJvM5ceJky4BSSikVbBr0K5D3sL0zzrAm7Nm3Dw4fLpzWGOsCQYfuKaWUqiga9CuQd03fbodzz7Wer11bdPqMjNDkTSmlVPWjQb8CuYftuZvszz/f+vvNN4HT6+x8SimlKpIG/QoWF3dyKJ476K9cGTitzWZ1/NMmfqWUUhVBg34Fi421xuoDnHMOxMTAjh2BJ+kB6zaANvErpZSqCBr0K1hk5MnnUVHQvbv1vLgm/qNHTw71U0oppYJFg34Fi4ryfV3SfX33Ajw6UY9SSqlg06BfwWw2K/C7m/gvuMD6W1TQB6t14Nixis+bUkqp6kWDfgh4d+Zr3x5q1YLffoNffw2c3uGA9PSTFwpKKaVUMGjQD4GYmJMB3G6HHj2s58XV9o2xZuhTSimlgkWDfghERlpB3K00TfzR0YFn7lNKKaXKS4N+CHj34AffznxFTcQTGWmN19cx+0oppYJFg34I2GxWzd19X//MMyExEQ4ehO3biz9Ox+wrpZQKFg36IRIXd/K+vjElD90Dqy/A0aM6La9SSqng0KAfIjExvsvmljQlL1g1/fx8HbOvlFIqODToh0hkpG+N3R30V6/2vRgIdJx26FNKKRUMGvRDJDLSqrm7A3/TptC8ubWq3qZNRR/ncFj39bVDn1JKqVOlQT9EjLECuLszH0C/ftbfhQuLPzYy0rq3r5RSSp0KDfoh5N2ZD+Dqq62/CxcWv8COw2FNy+t9waCUUkqVlQb9EHI4fIN7p05WM39qKqxdW/Rxxli3Bo4fr/g8KqWUOn1VStA3xvzVGLPbGJNtjNlgjLmwhPRRxphHCo7JMcbsNcb8LVT5DRb/znzGnKztf/hh8cc6HFaHvuI6/SmllFLFCXnQN8YMBp4HngDOBVYBi4wxzYo5bC5wKTAGaANcB/xQwVkNuogIa+5978B/1VXW308+Kb753t0JUCfrUUopVV6VUdOfALwuIrNF5EcRuQNIAW4LlNgYMwC4GBgoIotFZI+IrBWRpaHLcnAYY93X9+6J3769NUPf4cPFj9kHa6x/WppO1qOUUqp8Qhr0jTFRQGfgC79dXwA9izhsEPAtMMEYs88Ys8MY8y9jTHzF5bTi1KjhW6M3BgYNsp6X1MRvt1sdATMzKyx7SimlTmOhrunXA+zAfr/t+4GkIo5pBVwAdAT+DIzDaup/vWKyWLEcDt8V9+BkE/9nn0F2dvHHx8TAgQPF9/ZXSimlAomo7AyUgg0Q4AYROQZgjBkHfG6MSRQRnwsIY8wYrHv/JCYmsnTp0qBlJCMjIyjny821/noH/zPP7MzOnTX4z3+2cMEFacUe73LB7t1Wzf90FKxyViXTsg4NLefQ0HIuWaiDfhrgBBL9ticCqUUckwL87g74BX4s+NsMv1YDEZkFzALo0qWL9O7d+xSzfNLSpUsJxvmOHbNq63FxJ7cNGQKPPQYbNyZz663FH+9yWfPxt2xpdQ483QSrnFXJtKxDQ8s5NLScSxbS5n0RyQU2AP39dvXH6sUfyDdAI797+GcV/P01uDkMDf/x+nCyiX/x4pLv2dtsVivBkSMVkz+llFKnp8rovf8MMNIYc4sxpp0x5nmgETATwBjzhjHmDa/07wCHgDnGmLONMedjDfmbLyIHQp35YIiKssbse4+5b9wYuna17ul/9FHJ54iJsXr8u28VKKWUUiUJedAXkfeA8cD9wCasTnoDRcRda29W8HCnzwD6AQlYvfj/CywDbgpZpoPMGKhZs3DAvvFG6+8rr5TcUc8Yq2n/4MGKyaNSSqnTT6XMyCciL4lICxGJFpHOIrLca19vEentl/5nERkgIrEi0lhEbheR9JBnPIj85+EHa3a+hg1hxw748suSzxETA+np1v19pZRSqiQ6934liY62auveE+1ERsLo0dbzl18u3XkcDmvufh3Cp5RSqiQa9CuJzQbx8YWb+IcOtZr+162D9etLPk9UlDXZz6FDFZNPpZRSpw8N+pWoZs3C8+3Hx8Pw4dbzmTNLd564OGt6Xm3mV0opVRwN+pXI4Qg8j/7NN1s1+M8+g507Sz6PMRAbC3/8oavwKaWUKpoG/UoUEWHd2/ev7TdoANdea10QzJpVunO5l+1NK34yP6WUUtWYBv1KVqdO4Pn2b73VqsHPn2/N3lcasbHWhD26/K5SSqlANOhXsvh4aw59/973Z54Jl1xiLcP7zDOlP5+7md97+V6llFIKNOhXOpsNatcOXNu/5x7rFsBbb8HGjaU7X0SE1dT/+++F5wFQSilVvWnQDwM1awbugNe2rTVuXwQmTSp9J73oaOuY3393+bQguHQwv1JKVWsa9MNAZCTUqBG4tn/nndCoEWzeDG+8UXh/UZYs+ZR58z5m/34XIlbAnzt3Lh988EHwMq6UUqpK0aAfJmrXDrx4TlwcPPqo9fypp2D//sJp/LlcLnJyckhL28Pbb3/CoUNWwN+zZw/Z2dla41dKqWpKg36YcDish//wPbA69F18sTXP/iOPlHwum83G1VdfTdOmTTl4cDePPz6LrVtTaNGiBUOGDMFm0392pZSqjvTXP0wYA3XrBm7iNwYee8y6KPjf/2Dp0pLP5w78xkBUVC6ZmXH06zcEY/SfXCmlqiuNAGEkLi7w8D2AZs1g/Hjr+bhxsHdv8edyuVx8+OGHgHXREB2dyxtvfMyBA66AswAqpZQ6/WnQDyM2m1XbP3Ei8P6//hX69rUm4LnpJsjMDJzOHfB/++03mjZtyrhx42jWrCkHD+7hzTc/ITXVpavyKaVUNaRBP8wkJFhj7QPd27fb4YUX4Iwz4McfrZp/oOBts9mIjo6madOmXH311Z6m/mbNmlKrlp30dJuO41dKqWooorIzoHzZbJCUZDXfR0YW3p+QAK+9BldcAZ9+Cs8/bw3r8zdw4EBcLpen05478LtfZ2XBnj3QuDHExFTgB1JKKRU2tKYfhmJjreBeVDP/mWfCiy9a9+qnT4eCW/eF2Gw2/vxn+POfT752i4mxLip+/dW6XaD3+ZVSAOL3Y+D/WlVtGvTDVP36ViAuaha+iy+G++6zno8bB+++WzhNSf95IyOtuf8PHIB9+wLPE6CUqj42bNjA6tWrPb8VIsLq1avZsGFDJeeseHqhUnoa9MNURAQkJhbdWQ9g7Fi4+27rvv7dd1u1f/d3/YcffmD9+vXAyf+869ev54cffvA5h81mzQaYlwe7d8Phw4H7CSilTm8iQk5ODlu2bPEE/tWrV7NlyxZycnLCNpBW1QuVyqL39MNYjRpWU392tjVG358x1v382rXh/vvhiSfg0CG4/37rP+933/3C3r3J2GwOnnhiD/Xq/UKnTq0QEYwxPudyOKw5+9PS4NgxaNDAem+/ZCoA//IMVL7hpirmWVUsYww9evQAYMuWLWzZsgWA5ORkevToEZbfD+8LFTf3hUpycrJ+rwPQoB/GjDnZqS83F6KiAqcbOdIK/H/7G7zyCuzbZ4iKas7HH3ciP98gAq++2gSRZvz5z2l06RL4P4ExVnN/Xh789pt1379+fSv4q8A2bNhATk6O50fRXcuIjo6mc+fOlZ29gLzzDFSJPKvQcAd+7yAargEfCl+o1KlTh8OHD4f1hYq3yrj41ub9MBcVBU2aQE5O8UPsrr4aXn/dmuDnk09gwYL65OXZEbEBhtzcSPLy7CxYUI9p04pvpouMtFb+E7EuOPbutToVhqJ1ryrdm6uKzaH+eQbCPs9uVem7UVW5v8PevJvOw5F34HerCgG/sm5LaNCvAhwOaNrUCrzF3W/v0wfmz3c3yQf+wufk2Jk503DsWMnvGxV1ctnf336z7vkfO1Zx4/vd/wncwv3enPvHJjk5mS1btjB79mxPs2K4/ugYY4iKiiI+Pp4tW7aQlpbGli1biI+PJyoqKizzDFX3vm1VulAREebNm8eaNWtITk5m9OjRJCcns2bNGubNmxe2ea+KFyrui+/Nmzf7VBg2b95c4RffGvSriNhYa4ndjIzia9ybN4PDUfwXxm4XPv649O8dHW31L4iMtFb5++UXSEmxOhkGq9Ofdw00MzOzStSawQqi3bt399nWvXv3sA2eIkJubi7Hjx8nIyMDgIyMDI4fP05ubm5YlnNVbFGBqnuhAvjkOZz5X6jUq1evSlyouC++a9SowebNm5k9ezabN2+mRo0aFX7xrff0qxB3rXv//pPz9Ps7cCDwoj3eTpyw0pWV3W7d8xexJvc5ftxqVahZ07oocDgC56k0jDGkpKSQl5dHVlYWs2fPBiAvL4+UlJSwDaLr169n+/btPtvmzp3LWWedRZcuXSopV0UzxhAZGYnT6WTGjD9z110/k5WVRXR0NJGRkWFZzu4fyLi4OJ8OZnFxcWHbOuFdk3Nz1+T+9Kc/hWUHM2MM1113Hd988w1bt25l69atAJx33nmcf/75YZdftyNHjvhcsLovbI8cOVLJOSuaO48ZGRlkZmYSFxdHZmYmxhjPZ6mo8taafhVTu7Z1jz8rK3Bwb9AgcE9/b8bAli2Qmlq+PBhjvUeNGtbFR2amNc5/586Tk/1kZ5etFcDlcpGTk8PRo0fJL7h/cPjwYY4ePUpOTg6uMBxH6HK52L59O3v27CE+Pp5bbrmF+Ph49uzZw/bt28M2zzt27ODo0aMFPyoGu93O0aNH2bFjR1jmWUT45Zdf2L9/P+np6QCkp6ezf/9+fvnll7CszfnX5NLS0kJWkzsVCxYsYO/evUyffgVPP30FIsLevXtZsGBBZWetSLVq1UJEWLt2LWlpaaxduxYRoVatWpWdtSK5Wwjj4+PJzs7m0KFDZGdnEx8fX+EthRr0q6D4eGjRwhpj7z+O//LLweUq/gsjYvjsMzjvPKvn/yefWLcNysMYq5d/jRrWA6xhf7/+evIiIC3NymdubtG3Jmw2G4MHDyYhIQERITU1ldzcXBISEhg8eLDPbILhwmaz4XA4SEhIYMqU3rRrl0p6ejoJCQk4HI6wzbO7RiHiAoS8vDyMMWRmZoZlngEaN27M0aOG5cvb8N//tmH58jYcPWpo3LhxZWctIP+aHEBmZiYZGRlhexvF5XKRnZ3Nrl27yM/PR8SqRe/atYvs7OywvCAEaNKkCfn5NXjiieHs21ebZcvOIj+/Bk2aNKnsrBVJRFizZg3p6ek4HA7q1auHw+EgPT2dNWvWVOj3Q5v3q6ioKGu53YMHrZq1w2Ftq1ULxo4VZs50kZNTuK09KsrJZZfZyMszfPEFLF5sPSIjoVs3a6a/Pn2sRX3K8/sfGem7ZkB+vtX579Ah67UxVj5jYqw8R0ZaExHZbMK///0qGRkZiJzFnDk9GTXqP2RkZPDqq68yZsyYsKsdiQj5+fmcOHECl8uJ3W4nMzMTp9NZ8KMZfk24TqeT3Nxc8vLysDp7Gowx5OXlkZubi9NpfY5wIgJPP12LhQvHYYyQlxdJZGQen356CVu2bKdHj/CbT8Jdk9uzZw9paWnk5+eTnZ1NUlJS2Pb5MMbQvHlzfvppP8ePx+J0RrB6dTIdO+6gefPmYZlnMCxa1IOpU7uRn2/D6bSzaNEAFi2ykZNjo2fPcMzzyduZ+fn5xMfHAxAfHx+S25nheVmvSsVms2bta9bMep2ebgXZu++Gvn13YrfnY4xVm4uMzMVuz+fii3fywgswezasXw8PPABdu1p9BVauhIcfht694U9/ghtvhGeega++gt9/L9+QvYgI35aA+Hgr3xkZJ6f/3bMHdu4UUlPj+PXXmjiddg4fTmDNmi4cOBBFTo4hJ0dwOsNvjQAR4ehRw9GjMRw4EMvSpa05etSEZU0OwG6307VrV6A26elx5OfbWLeuI1Cbrl27hl3AB3joIfj00zbk50eSlxcFGPLyosjPj+TTT9vw0EOVncPCRIT58+eza9dhNm3qSmZmTTZt6squXYeZP39+mH4/DM89V4cnn7yDw4frcPRoAosWDeDJJ+/guefqUNSIoMr04IPC9Oku8vIiCoYnQ15eFHl5EUyf7uLBB8OxnK1WlQMHDnD48GGee+5q3nlnNPHx8Rw+fJgDBw5UaKuK1vRPA7Gx0Ly51YR+4ADk5Ajnnrucli0XM2/eCKKj47nggi3UqbOKevUigdaAoX59ayrfsWOt6XeXLbMC/OrV1v3+JUush1tcHJx1ltUK0KyZ1begaVPrb/36pV+tLyLCenhzOmHJkmRWrkzmqadWcvx4AosX9+OLLwbQo8c2+vc/2UnQZrOeWy0EJ8/nfm6M9bDZTj4v6gHlryW6XMJ//nMGixdfg9NpL7htcgmLFl1K//7fc+21gt0eXj+ULpfw8MN2vvjiNpxOO06nvSDPhnXrfmDhQsFmC588HzliLSqVkxP4pyonJ4Lp04W77rJaucKFCLz+eisWL/4/bDahW7dVfPhhTxYs6F3w3Qi/1okHHxQ+/vgs8vJOXvhZF1nw8cdn8eCDwqOPhk+mq+p3A6yaft26dUlNzebgwUj2709nwYJ6tG+/n7p162rvfVUy92x6sbFw4oQhPt5BVpaLunWFhAQYMsTJmjVCbGxswC9UnTrwf/9nPUTgjz/gu++sx+bNsGOHdW9+40brEUiNGlbwr1/f6nBYq9bJh7uWHx9vXTzExVkXCe7HK68YvvkmGafT/ZU05OdbPzhr17bnlVcM995r7RGxOgm6XFbLRk6Otc293Z2mLP9v/C8Q3NuK+/vUU4Yvv+xIfv7J+xnuH8kvv+zIvfcaJk/2fQ9/3u8XSEn7ixPouEceERYv7hAwz4sXd2DiROHBB8Pnh/2tt0q+zWSzWelGjQpNnkrj4Yel0HcjN/fkd2PiROGhh8KnnN0BNDs7cEtPdrad6dOFsWPDJ4C+/XbV/G6A1a9qw4breO45IS/Pev3hh7356KOLufdeG9ddV3HfDROezUzB0aVLF7EWnQmOpUuX0rt376CdryKtX7+erVu3c/hwNllZ0eTn24iNjeOMM1rQuXOHQjXt0jh8GLZvh127rGb5ffusSXt+/93qW5CXF5y82+0unM7C/5tbtLD6A0REWDV9/4cx1l93SwBYz90BvbiaPxQOsP5B0/t1Xh58/LEU22nSZhOuvtr49HHwVpoLk7IGfPd/50DH5ebChx/65rl79z9Ys6ZRoTwXNeVzqG3dao00KUlyMpx9dsXnpzRKW86DBhX93Qi1X36B774TnM6iv3B2u9Cpk6FVqxBmrBiBvhv+5Qzh9d1w27wZfv45cHnHxgoTJhgefbT85zfGbBCRgGOGKyXoG2P+CtwDNAS2AuNFZEURaXsDSwLsaiciPxX3PtU16HtPXpKRkUFcXBzHj58gJqYmrVol07bteeTlGZ8arX/wLPt7wtGjVvA/cMDqvHf06MlHRsbJR3q6NaQvK8t6HDoEGRlCON4zVEqpUHM4hJQUU+5WleKCfsib940xg4Hngb8CKwv+LjLGtBeRvcUcejZw2Ov1wYrLZdXm33M4u2BAf+PGiVx6aVdsNoPLZdVW3c3jOTlWDSUry2oiD1QLLam2nJBgPVq3LtuFw7PPwtNPG08t9cknlzFx4kWF0t10EwwdauXZ6Sz8cOfb/drd5O9u9vf/C75p3O/v/9z7r9vnn8Pnn5d0oSIMGGDo16+IvSVcbwf7evyrr6yRGt7+/Oefef/9Nj7b+ve3RnGEIk8lycqyVo8sburniAiYPLn0fUoq2ldfwZdf+n43rrlmOx98cJZXKqFfP1NkOYfaunVWy1VeXtHf58hI4YorDOedF8KMFcP6bgj5+UWXc0SEMHmyCZvvBpSurO12mDcPRo8O/vtXxj39CcDrIjK74PUdxphLgduAScUcd0BE0io8d6cB/zGg8fHxZGRkeMaA9ujRA5vNEB1tTbEbF+d7vMt1Moi6n4tYP7zu++juff5p/O+tl0ZCgnVlm5Vl/SeIiCgcWWJihJYtDU2alP1+fUXIzITly60fnqLExMCFF1qLIYWDvDxYufJkOQP06JHiE/RjYoRevQz/93+VkcPADhxw8e9/Wz20/UVG5nPzzTaGDg2fgUj5+fDNN77fjZ49//AJRjExcNFFcM01lZDBAC6+GD79tPj/VDab1UelZs0QZaoUDh6EV1/N93w3vMs5MjKfW26xM3RoZeawsJQUfC5UAjlxwpR78rSShDToG2OigM7AdL9dXwA9Szh8vTEmGtgGPCYigZr8Fb6zgbk77cXHx5d6URX3ffBgCFRT9n9+663w+OMln+fWW60LhHAwenTp8jxmTPh0fLLyXPLETeGUZ4BnnzXs3v09X33VoWCcfgSRkfmIGPr2/YFnn+0UtO9rMFTF7wbAnXe6eOYZF7m5hcNCVFQ+d95po0OHMCporO9GQoKNp5/OJz/fyltkZC5g4667bEyZYiq9guCvbVvrou/EiaLTxMZay6pXhJDe0zfGNAJ+By4SkeVe2x8EhopImwDHtAH6AN8CUcAwYGzBOQr1AzDGjAHGACQmJnaeO3du0PKfkZHhmUgh3GVmZpKVlUVMTIxnXmfv1+Hmjz+sNQVcLmjSJIN9+06Ws3s+gkaNijlBJfjjD2toY6D/QsZY/2nDPc/eZR2ueQY4ePAgublOsrNjEInEmDwcjiyiouzUr1+/srNXSFUt5507T3D8eAwiVqS0AqZQs2YWZ54ZW6l5K8qRI0fIysrlxAkHtWpZfYhiY7OJiYmidu3alZ29QpxO+P774m+VGQMdO5Z/LZM+ffqEzz39shKRn4GfvTatNsa0wOoIWCjoi8gsYBZYHfmC2fGuqnTkA2uFr5ycHM8Sr+7OfdHR0XTu3Lmys1eICIwe/QdvvpnIE0+s4O67LyIqKh+wMWzYfsaPbxR2V+wul3Ddddv46KM2uFx2XC5wOFzk5wtXXfUz8+a1D6sx7+Bbzvn5NqZOXcZDD11EXp6LYcP2c+ed4VfOAK+++io5OTnY7XZsNlvBlLFOoqOjue666yo7e4WIwC23/M4bbzTAGOGf/1zFpEk9ETEMH36AO+9sHJblXKPGBg4cyGX8+O7k5homTRKaNl1DgwY1w/J3w+l08txzz5GRkYHNZiMhoS0pKT/hcrmIj49n/PjxYTnh1JIlLqZNc5KbW3j4RlRUHvfcY+fiiyumVSXUQT8NcAKJftsTgbLcwVgLDAlWpk5HnTt39pkG1r32e3hOpQkgjBq1mxYtFhAR0Za6ddPp23ctHTtup3fvc7AGeoRX3o2BCROOcu65r/Cvf/0FlyvCJ8/hWNTGwG23pfDnP+9l/PhuREVZsy42a/Yt9etHYjXGhZ+bb76Zb775hm3btgHWGgLJycmcf/75lZyzwFwuJ+eeu4D69TP56adkatUyDBy4mLZtN9OkSTwu121hGYw6d+6My+WiYUPryztmjMHl6ha2azLYbDbi4+M5ceIEMTExGGOIiYkhKyuL+Pj4sM33o4/a2LRpE59//ifPxF5RUfm4XNC//2YefbRThb13SIO+iOQaYzYA/YF5Xrv6A++X4VTnAClBzNppyT/Ah2/AtxhjiI3NwW53UadOBt27b/ZsD0fGGHr2tLqi2GwzPdsvuugievbsGZb5di/5+ttvW4iLa0d0NCQnW8M7a9ZMDsv1AtytVNu2bSM5OZkePXp4hqTabLawvJi12Wzk5eVRo0Y+99xTi7y8PO65J5KlS53k5eWFbTBytxAuWXKyhXDNmjVh20JojKFLly5kZWV5lgKuUaMG3bt391wEhCfhyiu/pVOnZbz88oiCCsNq2rXbSuPGccC5VFQlpzKa958B3jTGrAO+wbo/3wiYCWCMeQNARIYXvB4P7MEazx8F3AgMAv4c2myrimSMITo6mm7dupGSksLdd3+MSBzJyclER0eH8X/eqnVx5W7xAavfR15eHlu2bPcE03DMu/u74Z1H92cI1++GMYZevXqRnZ1Nz549WbZsmecC0eFwhGWeRYRdu3axb98+AM/F1Zo1a2jSpAmdOnUKy3x36tSJVatW+bRqGmPo1KniasunSkSoUaMGERH7ueOOFzy3rABq1Eiq0IvvkAd9EXnPGFMXuB+rzXYLMFBEfi1I0szvkChgGtAEyMIK/peLyKchyrIKkV9//ZU//viDxETr7o+IsHHjRho1ahSWtQx3DXTNmjU4HA5Ph8k1a9YAhHUQtYLmycaycM2rW9W7XRU4z+HaAuTWuHFj9u3bx5o1azyTe7m3hyP3/8GtW7eSnJxMbm4ujRo1YsuWLWH9HTHG0KxZM/bu3UtOTg4ulwsRITo6mmbNmlVoniuljUlEXhKRFiISLSKdvXvyi0hvEent9XqqiLQWkRgRqSMiF2rAP/04nU5SUlI4fNiaf+nmm2/G6XRy+PBhUlJScDqdlZzDwNy1om7dujFmzBi6devmsz0cuX8o77rrYxITjwGwevXqMF357aSq1KLiVpXy7L4o6datG9nZ2Z6Jvbp16xa2Fyv+rUBgXcCGewuhMQaHw0GTJk18LgqbNGlS4S1BYd97X1UPdrud8847j3Xr1uF0OnnqqacAqFu3Luedd15YdnoyxhAREUFiYqJPs/OePXuIiIgIyx8c7yma/WtGEP41flXxqtKFClTNViARITs7m3379mGMwW6343Q62bdvHy1atKjQ5v3w7E2iqqWuXbsyduxYn21jx44tWP89/IgISUlJniZ9d6enzMxMkpKSwrLmXFVrRqri+d+uqlu3Lg6HgzVr1oR9S1BVu1ARETZv3kxeXh5nnHEGEydO5IwzziAvL4/NmzdXaFlrTV+FDZfLxXvvvefTs/m9995jyJAhYdnb2btD2ZYtWzy15XDuFAdVs2akQsP7dlXPnj1ZtWoVa9euDevbVVWRzWYjMTGRhIQEz+/bkCFDmDt3Lg6Ho0J/7zToq7DgcrmYO3cue/bsoW3btkycONHzeu7cuWEf+Ld4rfFZFQJoVasZqYpnjOGMM86gcePGnnv44T7ioCq75pprcLlcnt81d+Cv6N+58PsVVdWSzWbD4XDQokUL6tSp4/kP0KJFiwq/8j0V7iZRb+HeFKpUUTp37uzTac8d+MNx9MzpwP93LRS/c1rTV2HDfeW7fLk1mCNUV77l5d8pznvSGKgaNX6l/Gkr0OlNg74KK5Vx5VteVXHSGKVU9aZBX6lToJ3ilFJVSfhWo5SqIqpic6h/nwPtg6BU9aBBX6lqZsOGDT6dDd19EzZs2FDJOVNKVTRt3leqGnGvsuc9xNC7M2I4rrKnlAoeDfpKVSP+EwrVqVOHw4cPh/2EQkqp4NDmfaWqGe/A76YBX6nqQYO+UtWMTiikVPWlzftKVSO6yp5S1ZvW9JWqRnSVPaWqN63pK1XN6IRCSlVfWtNXqhqqihMKKaVOnQZ9pZRSqprQoK+UUkpVExr0lVJKqWpCg75SSilVTWjQV0oppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJjToK6WUUtWEBn2llFKqmjAiUtl5qDDGmIPAr0E8ZT0gLYjnU4FpOYeOlnVoaDmHhpazpbmI1A+047QO+sFmjFkvIl0qOx+nOy3n0NGyDg0t59DQci6ZNu8rpZRS1YQGfaWUUqqa0KBfNrMqOwPVhJZz6GhZh4aWc2hoOZdA7+krpZRS1YTW9JVSSqlqQoO+UkopVU1o0C8lY8xfjTG7jTHZxpgNxpgLKztPVYUxZpIx5ltjzHFjzEFjzEJjTLJfGmOMmWKM+cMYk2WMWWqMOdsvTW1jzJvGmGMFjzeNMbVC+mGqkIJyF2PMC17btJyDxBjT0Bjzn4LvdLYxZpsx5iKv/VrWp8gYYzfGPOr127vbGPOYMSbCK42Wcxlo0C8FY8xg4HngCeBcYBWwyBjTrFIzVnX0Bl4CegJ9gXzgS2NMHa809wJ3AXcAXYEDwGJjTA2vNO8AnYBLCx6dgDcrOvNVkTGmOzAG+MFvl5ZzEBQEjG8AA1wOtMMq0wNeybSsT90/gNuBvwFtgb8XvJ7klUbLuSxERB8lPIC1wGy/bTuAf1Z23qriA4gHnMCVBa8NkALc55UmBkgHbi143Q4Q4HyvNBcUbGtT2Z8pnB5AArAL6AMsBV7Qcg56GT8BfFPMfi3r4JTzx8B//Lb9B/hYy7l8D63pl8AYEwV0Br7w2/UFVs1VlV0NrFamIwWvWwJJeJWxiGQByzlZxj2ADKxWFrdvgEz038HfLGC+iCzx267lHDyDgLXGmPeMMQeMMZuMMeOMMaZgv5Z1cKwE+hhj2gIYY9pjtRZ+WrBfy7mMIkpOUu3VA+zAfr/t+4F+oc/OaeF5YBOwuuB1UsHfQGXc2CvNQSm4TAcQETHGHPA6vtozxowGzgRuDLBbyzl4WgF/BZ4FngTOAWYU7HsBLetgeQqrkrDNGOPEilmPi8hLBfu1nMtIg74KKWPMM1hNaxeIiLOy83M6Mca0wWp2vkBE8io7P6c5G7BeRNz3ljcaY1pj3W9+oejDVBkNBoYDNwBbsS6unjfG7BaRf1dmxqoqbd4vWRrW/edEv+2JQGros1N1GWOeBf4C9BWRX7x2ucuxuDJOBep7NZ9S8LwB+u/g1gOrZWqrMSbfGJMPXAT8teD5oYJ0Ws6nLgXY5rftR8DduVe/08ExDZguInNFZLOIvAk8w8mOfFrOZaRBvwQikgtsAPr77eqP7z0iVQxjzPOcDPg/+e3ejfWfr79XegdwISfLeDVWB8AeXsf1AOLQfwe3/wF/wqoNuR/rgbkFz7ej5Rws3wBt/LadxcmlvPU7HRyxWJUub05Oxi4t57Kq7J6EVeGB1cSUC9yC1RP0eayOIc0rO29V4QG8CBzH6oCT5PWI90rzD+AYcA2QjBWo/gBqeKVZBGzG+g/bo+D5wsr+fOH8wKv3vpZzUMu1K5AH3IfVh+K6gnK9Xcs6qOX8OrAPa1hkC+D/gIPA01rO5SzTys5AVXlgddrZA+Rg1fx7VXaeqsoDa2hMoMcUrzQGmILVbJoNLAOS/c5TG3ir4ALieMHzWpX9+cL5ESDoazkHr2wvB74vKMftWGPJjZZ1UMu4BvAcVgtKFvALVr8Vh5Zz+R664I5SSilVTeg9faWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV+pSmCM6WGM+a8x5g9jTK4x5pAxZrExZoQxxl6QZqQxRowxLbyO22OMed3vXFcaYzYbY7IL0tcyxtiMMc8ZY1KMMS5jzP8q8LO0KHjfkSWkc3+eMysqL+VljBlkjJkQYHvvgjzr4lrqtKAL7igVYsaY8Vjzh3+NNZvYr1iThwwAXgaOAh8Wcfj/YU0u4j5XBPA21nSit2PNHJkOXAv8HbgLaxrSQ4XOpLwNwlo185lKzodSFUqDvlIhZIzphRVYXhCRv/nt/rBgFcK4oo4XkY1+mxpjzVr2XxFZ7vU+7QqePiciriDkO1pEck71PEqpyqXN+0qF1j+Aw8C9gXaKyC4R+aGog72b940xU7Cmhgb4d0Ez9FJjzB6saUkBnN5N78aYhsaYN4wxacaYHGPMD8aYG/3ew90M38sYM88YcxRYW7Av1hjzUsHtiAxjzEdAk3KUQ5GMMWOMMd8X3K5IM8b82xhTxy+NGGMeM8b8zRiz2xiTboxZZow52y+dvSBdijHmhDHma2NM24LjpxSkeR0YATQu2C4FZegt1hjzQkF+0owxbxljagXzcysVClrTVypECu7V9wH+JyLZQTjlq8AWYB7wGPAJVtN/NNY88CM5ubLYLmNMHNa85LWBycBvwI3Am8aYWBGZ5Xf+t4F3sW4VuH8rXsFagOph4Fus1c3eCcJnAcAY8yTWLYl/AfdgtWQ8BiQbY3qKiPeKazcCP2PdxojCWob1Q2NMWxHJL0jzcMFnnQZ8CXQGPvJ720eB+liL6FxVsM2/VeN54GOsdd3bAFOxVnsbcSqfV6lQ06CvVOjUA2I4ufzqKRGRfcaYTQUvd4nIGvc+Y8zvBWm8t40DWgN9RGRpweZFxphE4DFjzL/9gup8EbnX6/g2WEHvPhF5smDzF8aYeGDsqX6egg6L9wAPi8gjXtu3AyuBK7GWD3bLA64QkbyCdGBdAJ0HrDLG1AbGAzNF5B8Fxyw2xuQCT7tPIiK7jDEHgVzv8vKzXETuKHj+RUFZ3GKMGSm6gImqQrR5X6nqoxfwu1fAd3sLq6bb3m/7Ar/X3bB+M/7rt31ukPLXv+D8bxtjItwPrFsL6Vj597bYHfALbC7426zg75+w+kfM8ztufjny9onf681YLSqJ5TiXUpVGa/pKhc4hrOVBm1fS+9fBWn7UX6rXfm/+aRsW/N3vt93/dXk1KPi7s4j9df1eH/Z77W6SdxT8def3gF+68uS3pPdSqkrQoK9UiIhIvjFmKdC/knrDH8a6H+0vyWu/N/9ma/dFQCLWuuZ4vQ4G97DCAcCRYvaXlju/DYCtXtu1dq6qLW3eVyq0nsSqsU4NtNMY09IY06GC3nsZ0MQYc77f9huwasPbSjh+LeACrvfbPiQ42WNxwfmbicj6AI/dZTzfZiATuM5vu/9rsGruMWXPslJVi9b0lQohEVleMPPbM8aY9sDrwF6sHvUXA7dgBeEih+2dgtexerp/YIy5D9gHDMW6l36rXye+QHn/2RjzDvCIMcaG1Xt/ADCwjPm41BiT6rftmIgsNsY8BbxQ0FFuGZANNC3I46sisqS0byIiR4wxzwGTjTHpWL33OwE3FyTxnr9gG1DHGHMbsB7IFpHNKHWa0aCvVIiJyHPGmHXAncB0rF796VjB5lZgYQW9b6Yx5iKsVoYnsSb1+RkYJiJvlfI0twIZwN1Yw+S+xrpIWVmGrMwIsG0rkCwik40xP2LNLng71i2G34CvgB1leA+3hwCDFej/htVaMRL4Bjjmle5VoDvwBFALa4RFi3K8n1JhzehoE6VUdWKMuRarR38vEVlR2flRKpQ06CulTlvGmG7A5Vg1/GysyXkmYrVw9NQx9qq60eZ9pdTpLANrfP/tQE2sDov/BSZpwFfVkdb0lVJKqWpCh+wppZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqif8Hm99tR797MIgAAAAASUVORK5CYII=\n", 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" }, "metadata": {}, "output_type": "display_data" }, { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -630,7 +644,6 @@ }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## References\n", "\n", @@ -646,14 +659,15 @@ "\n", "[5] Jay M. Gambetta, A. D. C´orcoles, S. T. Merkel, B. R. Johnson, John A. Smolin, Jerry M. Chow, Colm A. Ryan, Chad Rigetti, S. Poletto, Thomas A. Ohki, Mark B. Ketchen, and M. Steffen, *Characterization of addressability by simultaneous randomized benchmarking*, https://arxiv.org/pdf/1204.6308\n", "\n" - ] + ], + "metadata": {} }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "source": [], "outputs": [], - "source": [] + "metadata": {} } ], "metadata": { diff --git a/docs/tutorials/t1.ipynb b/docs/tutorials/t1.ipynb index 92642ad650..cb54fbf6a7 100644 --- a/docs/tutorials/t1.ipynb +++ b/docs/tutorials/t1.ipynb @@ -24,7 +24,7 @@ "cell_type": "code", "execution_count": 1, "source": [ - "from qiskit_experiments import ParallelExperiment\n", + "from qiskit_experiments.framework import ParallelExperiment\n", "from qiskit_experiments.library import T1\n", "\n", "# A T1 simulator\n", diff --git a/qiskit_experiments/__init__.py b/qiskit_experiments/__init__.py index 1373811315..f5ac26796b 100644 --- a/qiskit_experiments/__init__.py +++ b/qiskit_experiments/__init__.py @@ -24,15 +24,6 @@ encounter any bugs please open an issue on `Github `_ -Classes -======= - -.. autosummary:: - :toctree: ../stubs/ - - ~composite.BatchExperiment - ~composite.ParallelExperiment - Modules ======= @@ -40,7 +31,7 @@ * - :mod:`~qiskit_experiments.library` - Library of available experiments. - * - :framework:`~qiskit_experiments.framework` + * - :mod:`~qiskit_experiments.framework` - Core classes for experiments and analysis. * - :mod:`~qiskit_experiments.data_processing` - Tools for building data processor workflows of experiment @@ -64,13 +55,10 @@ from .version import __version__ -from .composite import BatchExperiment, ParallelExperiment - # Modules from . import framework from . import library from . import curve_analysis from . import calibration_management -from . import composite from . import data_processing from . import database_service diff --git a/qiskit_experiments/framework/__init__.py b/qiskit_experiments/framework/__init__.py index d47bebffb6..0d2c4e5c6e 100644 --- a/qiskit_experiments/framework/__init__.py +++ b/qiskit_experiments/framework/__init__.py @@ -25,14 +25,33 @@ Classes ======= +Experiment Data Classes +*********************** .. autosummary:: :toctree: ../stubs/ - ExperimentData AnalysisResultData + ExperimentData + +Composite Experiment Classes +**************************** +.. autosummary:: + :toctree: ../stubs/ + + ParallelExperiment + BatchExperiment + CompositeAnalysis + CompositeExperimentData + +Base Classes +************ + +.. autosummary:: + :toctree: ../stubs/ + BaseExperiment BaseAnalysis - Options + Creating Experiments ==================== @@ -99,3 +118,9 @@ from .base_analysis import BaseAnalysis from .base_experiment import BaseExperiment from .experiment_data import ExperimentData, AnalysisResultData +from .composite import ( + ParallelExperiment, + BatchExperiment, + CompositeAnalysis, + CompositeExperimentData, +) diff --git a/qiskit_experiments/composite/__init__.py b/qiskit_experiments/framework/composite/__init__.py similarity index 57% rename from qiskit_experiments/composite/__init__.py rename to qiskit_experiments/framework/composite/__init__.py index 80668025c5..9aef51733b 100644 --- a/qiskit_experiments/composite/__init__.py +++ b/qiskit_experiments/framework/composite/__init__.py @@ -10,39 +10,7 @@ # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. -""" -=========================================================== -Composite Experiments (:mod:`qiskit_experiments.composite`) -=========================================================== - -.. currentmodule:: qiskit_experiments.composite - -Experiments -=========== -.. autosummary:: - :toctree: ../stubs/ - - ParallelExperiment - BatchExperiment - - -Analysis -======== - -.. autosummary:: - :toctree: ../stubs/ - - CompositeAnalysis - - -Experiment Data -=============== - -.. autosummary:: - :toctree: ../stubs/ - - CompositeExperimentData -""" +"""Composite Experiments""" # Base classes from .composite_experiment_data import CompositeExperimentData diff --git a/qiskit_experiments/composite/batch_experiment.py b/qiskit_experiments/framework/composite/batch_experiment.py similarity index 100% rename from qiskit_experiments/composite/batch_experiment.py rename to qiskit_experiments/framework/composite/batch_experiment.py diff --git a/qiskit_experiments/composite/composite_analysis.py b/qiskit_experiments/framework/composite/composite_analysis.py similarity index 96% rename from qiskit_experiments/composite/composite_analysis.py rename to qiskit_experiments/framework/composite/composite_analysis.py index 2685c2cfec..c8f2608ab8 100644 --- a/qiskit_experiments/composite/composite_analysis.py +++ b/qiskit_experiments/framework/composite/composite_analysis.py @@ -15,7 +15,7 @@ from qiskit.exceptions import QiskitError from qiskit_experiments.framework import BaseAnalysis, AnalysisResultData -from qiskit_experiments.composite.composite_experiment_data import CompositeExperimentData +from .composite_experiment_data import CompositeExperimentData class CompositeAnalysis(BaseAnalysis): diff --git a/qiskit_experiments/composite/composite_experiment.py b/qiskit_experiments/framework/composite/composite_experiment.py similarity index 100% rename from qiskit_experiments/composite/composite_experiment.py rename to qiskit_experiments/framework/composite/composite_experiment.py diff --git a/qiskit_experiments/composite/composite_experiment_data.py b/qiskit_experiments/framework/composite/composite_experiment_data.py similarity index 100% rename from qiskit_experiments/composite/composite_experiment_data.py rename to qiskit_experiments/framework/composite/composite_experiment_data.py diff --git a/qiskit_experiments/composite/parallel_experiment.py b/qiskit_experiments/framework/composite/parallel_experiment.py similarity index 100% rename from qiskit_experiments/composite/parallel_experiment.py rename to qiskit_experiments/framework/composite/parallel_experiment.py diff --git a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py index 11f8173bf5..2f2bdea53a 100644 --- a/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py +++ b/qiskit_experiments/library/randomized_benchmarking/rb_experiment.py @@ -23,9 +23,8 @@ from qiskit.providers.options import Options from qiskit.circuit import Gate -from qiskit_experiments.framework import BaseExperiment +from qiskit_experiments.framework import BaseExperiment, ParallelExperiment from qiskit_experiments.curve_analysis.data_processing import probability -from qiskit_experiments.composite import ParallelExperiment from .rb_analysis import RBAnalysis from .clifford_utils import CliffordUtils from .rb_utils import RBUtils diff --git a/qiskit_experiments/test/t2ramsey_backend.py b/qiskit_experiments/test/t2ramsey_backend.py index 7dadf236cc..b54fdc351b 100644 --- a/qiskit_experiments/test/t2ramsey_backend.py +++ b/qiskit_experiments/test/t2ramsey_backend.py @@ -22,7 +22,7 @@ from qiskit.providers.models import QasmBackendConfiguration from qiskit.result import Result from qiskit.test import QiskitTestCase -from qiskit_experiments.composite import ParallelExperiment +from qiskit_experiments.framework import ParallelExperiment from qiskit_experiments.library.characterization import T2Ramsey from qiskit_experiments.test.utils import FakeJob diff --git a/test/calibration/experiments/test_rabi.py b/test/calibration/experiments/test_rabi.py index ae4b68c813..2769011549 100644 --- a/test/calibration/experiments/test_rabi.py +++ b/test/calibration/experiments/test_rabi.py @@ -23,13 +23,12 @@ from qiskit.qobj.utils import MeasLevel import qiskit.pulse as pulse -from qiskit_experiments.framework import ExperimentData +from qiskit_experiments.framework import ExperimentData, ParallelExperiment from qiskit_experiments.library import Rabi, EFRabi from qiskit_experiments.library.calibration.analysis.oscillation_analysis import OscillationAnalysis from qiskit_experiments.data_processing.data_processor import DataProcessor from qiskit_experiments.data_processing.nodes import Probability -from qiskit_experiments import ParallelExperiment from qiskit_experiments.test.mock_iq_backend import MockIQBackend diff --git a/test/randomized_benchmarking/test_rb_analysis.py b/test/randomized_benchmarking/test_rb_analysis.py index 9e795b3604..1e5c7b1e30 100644 --- a/test/randomized_benchmarking/test_rb_analysis.py +++ b/test/randomized_benchmarking/test_rb_analysis.py @@ -21,7 +21,7 @@ XGate, CXGate, ) -import qiskit_experiments as qe +from qiskit_experiments.framework import ExperimentData from qiskit_experiments.library import StandardRB, InterleavedRB ATOL_DEFAULT = 1e-2 @@ -43,7 +43,7 @@ def _load_json_data(self, rb_exp_data_file_name: str): containing the experiment results. ExperimentData: ExperimentData object that was creates by the analysis function. """ - expdata1 = qe.ExperimentData() + expdata1 = ExperimentData() self.assertTrue( os.path.isfile(rb_exp_data_file_name), "The file containing the experiment data doesn't exist." diff --git a/test/test_composite.py b/test/test_composite.py index e06889b65a..725e55f9f2 100644 --- a/test/test_composite.py +++ b/test/test_composite.py @@ -18,7 +18,7 @@ from qiskit.test import QiskitTestCase from qiskit.providers.options import Options -from qiskit_experiments import ParallelExperiment +from qiskit_experiments.framework import ParallelExperiment class TestComposite(QiskitTestCase): diff --git a/test/test_t1.py b/test/test_t1.py index 66050b02d6..0227a576b2 100644 --- a/test/test_t1.py +++ b/test/test_t1.py @@ -14,8 +14,7 @@ """ from qiskit.test import QiskitTestCase -from qiskit_experiments.framework import ExperimentData -from qiskit_experiments.composite import ParallelExperiment +from qiskit_experiments.framework import ExperimentData, ParallelExperiment from qiskit_experiments.library import T1 from qiskit_experiments.library.characterization import T1Analysis from qiskit_experiments.test.t1_backend import T1Backend diff --git a/test/test_t2ramsey.py b/test/test_t2ramsey.py index 250332b124..b126e32dde 100644 --- a/test/test_t2ramsey.py +++ b/test/test_t2ramsey.py @@ -18,7 +18,7 @@ from qiskit.providers.models import QasmBackendConfiguration from qiskit.result import Result from qiskit.test import QiskitTestCase -from qiskit_experiments import ParallelExperiment +from qiskit_experiments.framework import ParallelExperiment from qiskit_experiments.library import T2Ramsey from qiskit_experiments.test.utils import FakeJob diff --git a/test/test_tomography.py b/test/test_tomography.py index 05c7d81018..9b8dc1e752 100644 --- a/test/test_tomography.py +++ b/test/test_tomography.py @@ -23,7 +23,7 @@ from qiskit import QuantumCircuit import qiskit.quantum_info as qi from qiskit.providers.aer import AerSimulator -from qiskit_experiments import BatchExperiment, ParallelExperiment +from qiskit_experiments.framework import BatchExperiment, ParallelExperiment from qiskit_experiments.library import StateTomography, ProcessTomography From e033a8d26cc2f76ba0473f3761e6339b55bc338b Mon Sep 17 00:00:00 2001 From: Christopher Wood Date: Wed, 21 Jul 2021 13:57:37 -0400 Subject: [PATCH 13/13] Fix ipynb rebase error --- docs/tutorials/rb_example.ipynb | 316 +++++++++++++++----------------- 1 file changed, 151 insertions(+), 165 deletions(-) diff --git a/docs/tutorials/rb_example.ipynb b/docs/tutorials/rb_example.ipynb index bb790a2059..a0bf8558e2 100644 --- a/docs/tutorials/rb_example.ipynb +++ b/docs/tutorials/rb_example.ipynb @@ -13,8 +13,6 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, - "outputs": [], "source": [ "import numpy as np\n", "from qiskit_experiments.library import StandardRB, InterleavedRB\n", @@ -71,7 +69,20 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "source": [ + "lengths = np.arange(1, 1000, 100)\n", + "num_samples = 10\n", + "seed = 1010\n", + "qubits = [0]\n", + "# Run an RB experiment on qubit 0\n", + "exp1 = StandardRB(qubits, lengths, num_samples=num_samples, seed=seed)\n", + "expdata1 = exp1.run(backend)\n", + "expdata1.block_for_results()\n", + "result = expdata1.analysis_results(0)\n", + "# View result data\n", + "print(result)\n", + "display(expdata1.figure(0))" + ], "outputs": [ { "output_type": "stream", @@ -93,30 +104,15 @@ { "output_type": "display_data", "data": { - "image/png": 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HvvLeTjToHzggEhmZH+QDg74N/CK5/WFUGTkZ/nCP93dv9+7dMnjwYElISJCEhAR58cUXZebMmdKoUSN59NFHyzaTUnQw6tu3r9SsWVMiIyOlW7duMnPmTL/jmzdvFkDefffdvH2vvvqqNGnSRMLDw6VZs2by8MMP5wVzEfuzLeShP+/nvnLlSunTp48kJCRIRESEJCYmyi233CJ//vmn3/v/9ttv8re//U3i4+MlMjJS2rRpI3fccYff+wXzxhtvSPPmzcXlcknnzp0LdOx79NFHg+bP93M2b9680M8BSPPmzUt8n73XCwz655xzjpxzzjl++0ryXps2bRJjjEydOrXI9/QqbMjev//9b2nXrp24XC6pU6eO9O/fX2bPnl3ktbZu3SoXXnihREVFSUJCgtx5552SkZFRaHoN+uWjqKBvpPxryCtMly5d5ESWN504Ef75TyEtzVbfN2lyhO3ba/iliYkRXn7ZUEa1cgrb5tmnT5+KzsYJ6dKliy6tq/LofS4/vn9rJ8P/jrJgjEkWkaBrDuuCO0XYtQuOHct/HRjwwR7fFZIxBEoppdSJ0aBfhAYNIDo6/3VMTME5pKOjbTqllFKqstOgX4TLLwe3O79nftu2BwukcbsNPh2BlVJKqUpLg34RatWCe+7x4HLZSThOPXW/3/Hw8GzuucdDIXNcKKWUUpWKBv1iPP64oVevFYSFZdO27QG8nWYdjhy6d1/F44/rGH2llFJVgwb9Ygl/+9sqRo9+hWbNjlC/PoDh/PO/4dxzNwSdXlSpYIYPHx50rfPu3bvnpUlMTMzbHx0dTceOHZkwYYLfdbKysnj++ec544wziI6OJiEhge7du/PWW2/lTV4TCvPmzaNnz57Url2bqKgoTj311GLXhAf47bffGDx4MHXq1CEuLo7u3bvzf//3f3nHJ02aFPQ+GWNYvnx5gevt27ePxo0bY4xh3759J/y5RIRx48bRqFEjoqKi6NOnj980sx6Ph7/+9a80a9aMyMhIGjZsyNVXX82OHTtO+L29Dhw4wJ133smpp55KVFQUTZs25dZbb2X//v1Fnrd27Vouv/xyWrZsiTGm0OWB33zzTVq0aEFkZCRJSUmFzuYoIlxwwQUYY5g2bdqJfiwAPv30U9q3b09ERATt27fns88+KzTtyJEjMcaU6PdKlYwG/WI4HA7q169Px46Nad48miuusCX7I0fakZBQl+xsvYWq5Pr37++33nlKSgozZ870S/PII4+QkpLCL7/8wuDBgxk5ciRTp04FbMA/77zzeOqppxgxYgQLFy4kOTmZUaNG8e677xa70l5Zio2N5a677mL+/PmsW7eOhx9+mEcffZQ333yzyPMuuugiMjIy+O6771i5ciVnn302l1xyCZs2bQJgyJAhBe7R1VdfTcuWLQtM5wswYsQITj/99DL7XM899xwvvvgir732GsuXL6devXoMGDDAbyW4fv368fHHH7NhwwY+/fRT/vjjDy699NJCr7l169ZSTde9c+dOduzYwXPPPcfq1av54IMPmD9/PkOHDi3yvGPHjpGYmMiTTz5Z6Pz2U6dO5e6772bMmDGsXLmSnj17csEFF7Bt27YCaV988cVC11o4HosXL2bIkCEMGzaMVatWMWzYMP7+97+zdOnSAmmnTZvGsmXL8maEVGWksAH8J8NWlqvsud1u+eGHH+STT+ykPE2aeGTDBjuBjypbJ8MEG8F+94JNghIo2CQtrVu3liuvvFJERJ599lkxxsjy5csLnOt2u4tckz6Y4iaNKa1LL700L6/B7N27VwD5/vvv8/ZlZ2eLw+GQTz75JOg5aWlpUrNmTXnqqacKHHvllVekX79+8t133wngtxKfiMjChQuld+/eEhUVJY0aNZJbbrmlyHvk8XikQYMG8uSTT+btO3bsmMTGxsr48eMLPe+LL74QIG/GwECrV68W++/2+H399ddijCnxz7hDhw5BJ3Tq2rWr3HjjjX77TjnlFHnggQf89i1btkyaNGkiu3fvFqDAz2f79u0yZMgQiY+Pl/j4eBk0aJD89ttvRebpiiuuKDBT4Lnnnlvgd2bLli3SqFEjWbduXbErEOrkPAVRxOQ8WkwtIe/TbteuULs2bN9u+PNPu+qeUuUpMjIyb0W3Dz/8kP79+wct8TocDmrUKDiXhFdsbGyBrWHDhnnf+65KdzxWrlzJokWLOOeccwpNU7t2bdq1a8fkyZNJTU3F7XYzYcIE4uLiOOuss4Ke8/HHH5OWlsb1119f4P2effZZ3n///aCl0dWrVzNw4ED++te/8vPPPzN9+nRWrVpV4Dq+Nm/ezK5du/wWfomKiqJ3794sWrQo6DkHDhzgww8/pFu3bkEXDiorR44cISIigmjfccSllJWVRXJycoGFbQYOHOj3+Y4ePcpVV13FhAkTqFevXoHrHDt2jL59+xIZGcm8efNYvHgxDRs2pH///hzzndwkwOLFiwu893nnnef33jk5OQwdOpSHH36Ydu3aHe9HVYWoCqvsVSo1a8JZZ8GXX8L8+dCkCWRnQxEraSqVJ9gCM7fffjvPPvtsgbQ5OTl88MEHrF69mltvvRWwC9gc74xjwZZyTU1NzctPVFTUcV23SZMm7N27l5ycHB599FFuueWWQtMaY5gzZw6XXnopNWrUwOFwkJCQwKxZs/xWnfM1YcIELrroIr+V8NLS0rjyyit57bXXaNy4MRs3bixw3vPPP8+QIUO455578vb95z//4YwzzmDPnj1Bg9mu3Jm26tf3X827fv36Bdrs77//fl5//XWOHTtG9+7d+eqrr/yO+/6cJbfvj+++Xr16MWvWrKCfOdChQ4cYO3ZsgVXzSsu76l2wz/ftt9/mvb7llls4//zzC30QnDJlCiLCu+++m9ds8dZbb1GvXj2++uorrrjiiqDn7dq1K+h77/KZ4ezRRx+lTp06eb/zqmxp0C+lqCjo3dsG/e+/h2HD7Kx8RSyAplSe3r17F+iYF7iu+UMPPcS4cePIzMzE5XIxevRoRo4cCeQHj+MRbNW5spgedsGCBaSmprJkyRLuv/9+WrRowTXXXBM0rYhw2223Ubt2bRYsWEBUVBRvv/02f/vb31i+fHmB1dvWrl3L4sWL+frrr/3233XXXZx99tlFro6XnJzM77//ntcfwvv+AJs2bWLOnDl59xVg1qxZOJ3OEn/u0aNHc8MNN7B161Yee+wxrr76ambNmpUXBH0fsjZu3MigQYP89pX0ISs1NZWLL76Yxo0b89xzz5U4f8dr8uTJ/Pzzz0VOI52cnMzmzZsL/O4cO3aMTZs2sW3bNr/loMeMGcOYMWOKfe+5c+cyadKkoA+oqmxo0C+l8HAb9B0OWLYMcnLg8GEN+qpkoqOjgwZfX6NGjeKGG24gOjqahg0b+nUAa9OmDevXrz+u9y5uCdvSlDx9eTuMderUid27dzNu3LhCg/7333/PjBkzOHDgQN7Djnd51XfffZeHH37YL/2ECRNo2rQp559/vt/+7777jj///JP33nsPyA/mDRo04P777+epp57C4/Fw44038s9//rNAPho3bkzHjh3p1q2b376UlBQAdu/e7beW/O7du/1qGgDq1KlDnTp1aNOmDe3ataNp06b8+OOP9OrVC/B/yMrIyCiwryRSU1MZNGgQAF999dUJNx/UqVMHp9PJ7t27/fb7fr7vvvuOdevWFfh9GTJkCD169ODHH3/E4/Fw+umnM2XKlALvkZCQQI0aNfwCd0JCAmB/PkW999y5c0lJSfGr9XG73dx///288sorbN++/fg/vAI06JeaMdC8OZx2GqxaZQN/jx42+J9ArZtSeWrXrl1ocLjqqqt48MEHWbFiRYF2fY/HQ2pqaqHt+uVVvR+Yh6KGDXrbewPb4B0OBx6Px29fRkYGkydP5q677iqQfvbs2WRl5U+LvXz5cq6//nrmzp1L69atAejcuTNr164tMtAGllRbtGhBgwYNmDNnDmeeeWZePhYsWMDzzz9f6HW8eS/LIZNHjx7lggsuQESCNgsdD5fLRVJSEnPmzOHvPlOJzpkzJ6/W5KmnnuLee+/1O69Tp0688MILXHLJJYC9tx999BF16tQpUFPlFey+9+jRgzlz5jB69Gi/9+7ZsycAt912G5dffrnfOeeddx5Dhw7lJl3VrGwU1sPvZNjKsve+SH7P0NRUkTvvtL34r75aZMMGkVJ2mlZFOBl64BbWe79///5Frr1eXE/ljIwM6dWrl8THx8urr74qK1eulD/++EM+/fRT6dGjR6nv3Yn03v/3v/8tM2bMkN9++01+++03efvttyUuLk7uv//+vDTTp0+Xtm3byvbt20XE9t6vXbu2XHbZZbJq1SrZsGGD3HvvvRIWFibJycl+1588ebI4HA7ZunVrsXnxLtnr23v/559/lqioKBk5cqT89NNPsnHjRpkxY4bcfPPNRV7rmWeekRo1asinn34qq1evliFDhkjDhg3z7tWiRYvk9ddfl1WrVsmWLVvku+++k549e0piYqJf733fn/HGjRsL/Nz3799faB6OHDki3bt3l/bt28tvv/3md57v0sH9+vXz63WfmZkpK1eulJUrV0qrVq1k5MiRsnLlStm4cWNemilTpkh4eLhMnDhR1q1bJ3fddZfExMTIli1bCs0PAb3309LSpE2bNtK7d2+ZO3eu/PHHHzJv3jwZNWpUkT34Fy5cKE6nU/71r3/J+vXr5emnn5awsDBZsmRJoedo7/3So4je+xUemMtzK6+gn50tMm2avXuNGols2iQSsNS3OgEnwx9uYUGfIOuhN27cOC9Ncf/gRGzgf+aZZ+S0006TyMhIiY+Pl27dusn48eOLXUs+0IkE/Zdfflnat28v0dHRUqNGDTnjjDPkjTfeELfbnZfm3XffFUA2b96ct2/58uUycOBASUhIkLi4OOnatat89dVXBa7fu3dvueCCC0qUl2BB3/te5513nsTFxUl0dLR07NhRxo4dW+S1PB6PPProo9KgQQOJiIiQ3r17y+rVq/OOr1y5Uvr06SMJCQkSEREhiYmJcsstt8ifAf8Egv2sfbdzzjmn2M8TbPP9+2jevLlcd911ea83b95covd64403pHnz5uJyuaRz584yb968Iu9JYNAXEdm1a5cMHz5c6tatKy6XSxITE2XEiBEFfgaBPvnkE2nbtq2Eh4fLqaeeKp9++mmR6TXol15RQd/Y4yenLl26SFmuae67VvMff9hq/T174JtvIDERWrWCUvQDUoU4GdbE9l3juzLTdd5DQ+9z+fH9WzsZ/neUBWNMsogUHNeLzsh33GrVgr597fezZ9uvuX11lFJKqUpJg/5xioqCfv3s9998YzvxHT5csXlSSimliqJB/zhFREDPnhAdDWvWwP79kJYGAR2QlVJKqUpDg/5xMgYSEiB3SC5z5oCIVvErpZSqvDTon4C4uPx2/W++sZ34fBbiUqpSGD58OBdddFFFZ6PK6tixY6FL1CpV1WjQPwGRkXDOOXZ2vsWLISsLjhzRKn4VesOHDw+6/vyqVat49dVX+eCDD/LS9unThzvuuKMCc6tKoqRr3nulpKRw1VVXceqpp+J0Ohk+fHiBNJ988gldunQhPj6emJgYTj/99LxZDYP517/+hTGmwO9LsN81Ywy33377cX1WFToa9E9AeDjUqwdnnmkX3Zk71wZ8reJXFaF///4F1qHv2LEjNWvWLHTWtOrCd/a+qqA0a957ZWZmUqdOHR544AG/6YV91a5dm4cffpglS5bwyy+/MGLECG644QZmzpxZIO2SJUuYMGECp512WoFjgb9nM2bMACh0oR1VeWjQP0Hx8flV/HPm2F78WsWvKkJERAQNGjTw28LCwvyq94cPH868efN44403MMZQo0YNtmzZUuBaI0aMoG7dujz99NN5+zZv3ozL5fKrNQg0ffp0TjvtNKKiokhISOCcc87xm2v9ueeeo0GDBsTGxnLttdcybtw4EhMT844Ha4oYN24cHTt2zHu9fPlyBg4cSJ06dahRowZnn302ixcv9jvHGMMbb7zBZZddRkxMTN5iLzNmzCApKYnIyEhatGjBQw895PdAsGfPHi655BKioqJo3rw577zzThF3vPy89NJLDB8+nJtuuol27drx2muv0bBhQ/7zn/8Uek5iYiL//ve/GT58eN5c94H69evH4MGDOfXUU2nVqhV33303p512WoFahMOHDzNs2DDeeecdatWqVeA6gb9nX3zxBW3atClyWWVVOWjQP0HR0eCdC+L77227vlbxq8rq1VdfpUePHowYMYKUlBQ2btxI06ZNC6R76aWX+Ne//sXYsWPZsGEDAI888ght27blqquuCnrtXbt2ceWVV3Ldddexfv165s+f77fwzscff8zDDz/MY489xk8//UTbtm156aWXSv0Zjh49yjXXXMOCBQtYtmwZp59+OoMGDWL//v1+6R577DEGDRrE6tWruf322/nmm28YNmwYd9xxB2vXruWdd95h2rRpfqu/DR8+nN9//51vv/2Wzz//nPfffz/oQ5GvBQsWEBsbW+T2wgsvlPjzlXTN+xMlInz33Xds2LCB3r17+x27+eabufzyy+nrLdEUITU1lSlTpujc+FWELhFzgiIioGVLaN0aNm60C/D85S+2ij86uqJzp6qTwEVZgq2aV7NmTVwuF9HR0TRo0ICjR48GXU62Vq1a3HjjjUybNo3333+foUOH8r///Y/p06cXWPzGa+fOnWRnZ3P55ZfTvHlzAL8S+iuvvMJ1112Xt5ztQw89xA8//MDvv/9eqs/ZzztBRq7XXnuNTz/9lFmzZnH11Vfn7R8yZAg33nhj3uvrrruO0aNHM2LECABatWrFs88+y9VXX83zzz/Pxo0bmTVrFj/++CNnnXUWAO+99x4tW7YsMj9dunQpdinY8PDwEn++kq55f7wOHz5M48aNyczMxOl08sYbb3DBBRfkHZ84cSK///57kTU6vv73v/+RlZXFddddd8J5U+VPg/4JMsb24u/Xzwb92bMhKcmW9jXoq1Dq3bs3EyZMyHtdFqvmXXvttTz44IOsXr2aM888M2+VtQ8//LDAWvQ9e/akf//+dOzYkYEDB9K/f38uv/xy6tatC8D69ev9gjDYVddKG/T37NnD2LFj+eGHH9i9ezdut5v09PQC7d2BqxAmJyezbNkynn322bx9Ho+H9PR0du3axfr163E4HHTt2jXvePPmzWnUqFGR+YmKiip2ydyjlajNLy4ujlWrVpGamsp3333HqFGjSExM5Nxzz2XDhg2MGTOGH3/8scQPKhMnTuSSSy7J+zmryk2DfhnwDt176y07dG/cONuuX6+e7dmvVChER0eXer324gwePJhbbrmFGTNm+JUy//rXvxZYi97pdDJ79myWLFnC7Nmz+e9//8uDDz7IvHnz+Mtf/lKi93M4HASuB5Kdne33+rrrrmP37t28/PLLJCYmEhERwbnnnlugs15MTIzfa4/Hw6OPPuq3pKyXb8AyxpQor14LFizwKykHc8899/DYY4+V6HolWfP+RDgcjrzfk9NPP53169fz9NNPc+6557J48WL27dtHhw4d8tK73W7mz5/P+PHjSUtLIyIiIu/YqlWrWLFihV/fD1W5adAvA5GRcNppUL8+bN9uZ+hr0QLS0yHg/45SFc7lcuF2u0uUNjo6mtatW2OM4dxzz83bHxcXF3QBGWMMPXr0oEePHjzyyCN06NCBqVOn8pe//IV27dqxZMkSrr/++rz0S5Ys8Tu/bt26BarKA1//+OOP/Pvf/+bCCy8EbDBMSUkp9rN07tyZX3/9tdAHo1NPPRWPx8OyZcvy1nfftm0bO3fuLPK6ZV29X5I178uSx+MhMzMTsA95gTUkI0aMoHXr1owZMwaXy+V3bMKECbRo0YL+/fuXeb5U+dCgXwacThvcBw6EyZPhq69g1Chbxa9BX1U2iYmJLFu2LK+DWkxMTKHt9HPmzOGnn34iNjaWY8eOEV1Em9WSJUv49ttvOe+886hfvz4rV67kzz//pH379gDcfffdXHvttZx55pn06dOHadOmsXTpUr+e5v369eO5557jnXfeoXfv3kyfPp2FCxfSpEmTvDRt2rThgw8+oFu3bqSlpXHfffcVCEbBPPLII1x00UU0b96cK664grCwMNasWcOyZct47rnnaNu2Leeffz4jR45kwoQJREVFMWrUqGKbScqjen/UqFFcc801dO3albPOOovx48ezc+dObrnllrw01157LQDvv/9+3j7vw8eRI0dwOBysWrUKl8uV9zN46qmn6NatGy1btiQzM5OZM2cyefJkXnvtNQDi4+MLDO+MiYkhISHBr38GwLFjx/jwww+57777Sl07oiqOVj6XkZo1bdAH+PprcLkgNRVKWKBSKmTuvffevEDQokWLIsd+P/TQQ1xyySUkJCQwffr0Iq9bs2ZNFi5cyEUXXUTr1q255557GDt2bF7nuiFDhjBu3DgeeughzjjjDFavXs2oUaP8rnHeeefx6KOP8tBDD5GUlMSWLVu47bbb/NK88847pKamkpSUxJVXXsn111/vN+yvMOeddx5ff/01P/zwA127dqVr164888wzNGvWLC/NpEmTaNGiBf369ePiiy/mqquuKtG1y9qQIUN45ZVXePLJJzn99NP58ccfmTlzZl4HSbC1EIE/uzPOOIMzzjiDBQsWMGPGDM444wwGDRqUdzw1NZVbb72VDh06cNZZZ/Hpp5/y/vvv+z1MlNTUqVNJS0vL6xipqggROWm3pKQkKUs//PBDoccyM0XWrROpW1cERL75RuTXX0VSU8s0C9VCUfe5qijr373ycuTIkUKPTZ8+XRwOh6xZs0bGjBkjAwYMKPP3f/7556V58+Zlft3Kpqj7rE6M79/ayfC/oywAK6SQuFghJX1jzG3GmM3GmAxjTLIxplcx6W83xqw3xqQbYzYYY64NVV5LyuWyw/fOP9++/uorO2OfLrerqiKPx8PYsWMZOnQoHTp04Nprr+W7777jP//5D/v27avo7CmljlPIg74xZgjwKvA0cAawCJhljGlWSPpbgWeBx4EOwKPAG8aYi0OT45KrUQMGDLDff/WVVvGrquvDDz9kw4YNeT3O27ZtyxNPPMHYsWMZPXp0BedOKXW8KqKkPwqYJCITRWS9iNwJpAC3FpL+GmCiiHwkIn+IyBRgAnB/iPJbYjEx0Lkz1K4NmzfDr7/a/ceOVWy+lCqta665huzsbFq1apW3b8yYMezbt4933323zN7n3nvvLXbGO6VU2Qlp0DfGuIAkYHbAodlAz0JOiwACl7BJB7oaY0o+DiYEIiJs6d5bxe/t0HfwYMXmSymllILQl/TrAE5gd8D+3UBhs058A1xvjDnTWF2AG4Hw3OtVGg6HnajH24vf266fnm5X4VNKKaUqUlUYp/8E9oFgEWCwDwjvAfcBBZa1McbcDNwMdq7quXPnlllGUlNTi72exwO1axtq1OjJ77+HM3PmMpo1O8b27XY8vypeSe5zZZeRkVGppl4tjNvtrhL5rOr0PpefjIyMvP8XJ8P/jvIW6qC/D3AD9QP21wd2BTtBRNKxJf2RuelSsEH9KLA3SPoJ2DZ/unTpIn28S+CVgblz51Lc9Twe2LQJBg2CKVNgw4aunHce5OTYhXlU8Upynyu7Fi1alGiFsoqWkZFBZGRkRWfjpKf3ufy0aNEi7//FyfC/o7yFNOiLSJYxJhkYAHzic2gA8Gkx52YD2wGMMVcCX4lIpVvA1uGwHfrOO88Gfe/sfOnpduU9/buvHmbMmFHRWSgR/ScZGnqfVWVREdX7LwGTjTHLgIXALUAjYDyAMeZ9ABG5Nvd1G6AbsASohe393xGotOs41qwJZ54J8fGwYYPtxd+smR2+p0FfKaVURQn5kD0RmQr8A3gYWAWcDQwSka25SZrlbl5ObKD/GZgDRAI9RWRLaHJcepGRtgNf7nogfPaZ3XfoEAQsIKaUUkqFTIXMyCcib4pIoohEiEiSiMz3OdZHRPr4vF4vImeISLSI1BSRwSKyoSLyXVJOJ0RHw8W50wd9/rn96nbban6llFKqIuiCO+UkPh7+8hdo1Mgut5ucDGFhduU9pZRSqiJo0C8nkZG2U9/gwfb19Ol235EjOi2vUkqpiqFBv5yEhdkg723XnzHDDtsDSEuruHwppZSqvjTol6P4eGjVCtq2tVPxzptnp+o9cKCic6aUUqo60qBfjqKi7FdvFf9nn9le/ZmZdlNKKaVCSYN+OQoPt1X8F11kX3/zja3adzpBZ+RUSikVahr0y1mtWlCvHnTpYofrffNN/ph9T6WbT1AppdTJTIN+OYuOthPyXHqpff3ZZ7ZXv47ZV0opFWoa9MtZWJht2z/vPFutP28e7NsHLpd26FNKKRVaGvRDID4e4uKgb19bwp8+3fbiP3YMsrIqOndKKaWqCw36IeCt4h8yxL7++GP72um0i/AopZRSoaBBPwTCwuxyu716QUICrF8Pv/xiS/sHD+oiPEoppUJDg36IxMeDMfkd+qZOtSX9nBzt0KeUUio0NOiHiHeiHm8V/+efQ0aGduhTSikVOhr0Q8TphNhYOy1vx45w+LAdsx8RYSfs0Q59SimlypsG/RCqWROys/079IEdt69L7iqllCpvGvRDKCrKtusPHmyr9efNg5077X6doU8ppVR506AfQg6H7dAXFQUDB9pe+9Om2f0ejy65q5RSqnxp0A+xuDjbY99bxT91qg3+ERGwf3/F5k0ppdTJTYN+iEVG2tX3zj4bGjSALVtgyRK7LyPDbkoppVR50KAfYsbYlfd8O/R98IH9Gh5ue/UrpZRS5UGDfgWIibFt+MOG2fb8r7+2i/BERtqgn5NT0TlUSil1MtKgXwFcLtuZr25d6NfPlvqnTrW1AABHj1Zs/pRSSp2cNOhXkFq1IDMTrr3Wvv7gA1v6j4qyM/Tp8D2llFJlTYN+BYmOtiX7c86BJk1g2zaYPz9/Pv5jxyo6h0oppU42GvQriNMJNWrYqv1hw+y+99+3XyMibBu/UkopVZY06FegmjVtqX7oULv87pw5doY+l8tW/evqe0oppcqSBv0KFBlpg31CAlxwgW3H/+gjeyw8HA4erNj8KaWUOrlo0K9A3jH7GRlwzTV23//+Z6v8IyNtL35dfU8ppVRZ0aBfweLibAm/Z0+77O6uXTB7tj3mdOrqe0oppcqOBv0KFh5uJ+vJyoLhw+2+//7Xfo2KslX8bneFZU8ppdRJRIN+JZCQYIP+FVfYkv/SpfDLL7b6X0RL+0oppcqGBv1KICrKduiLirI9+QHefjv/2P79OlmPUkqpE6dBvxIwxpb2MzJgxAg7H/+XX8Lu3bZd3+2G1NSKzqVSSqmqrkKCvjHmNmPMZmNMhjEm2RjTq5j0VxljVhljjhljdhljPjDGNAhVfkMhNtaW5ps1g/PPtz34vZP1REXZyXpEKjaPSimlqraQB31jzBDgVeBp4AxgETDLGNOskPRnAZOB94AOwGCgPfBhKPIbKuHhNvBnZMCNN9p9779vX4eF2YcALe0rpZQ6ERVR0h8FTBKRiSKyXkTuBFKAWwtJ3wPYLiIvi8hmEVkCvAZ0C1F+Q6ZWLRvcu3aFTp3swjuff26PRUbC3r1a2ldKKXX8Qhr0jTEuIAmYHXBoNtCzkNMWAg2NMRcbqw5wJTCz/HJaMbwd+jye/NL+22/bQB8ebh8IdCEepZRSx8tICIuOxphGwA7gHBGZ77P/EWCYiLQt5LzLgElAFBAGzAEuEZECs9MbY24GbgaoX79+0pQpU8os/6mpqcTGxpbZ9YJxu+18/Dk5hmuu6cHBgy6efXYVZ5xxKK+U73KVaxYqXCjus7L0XoeG3ufQ0Pts9e3bN1lEugQ7FhbqzJSWMaY9tjr/CeAboCHwPPAWcG1gehGZAEwA6NKli/Tp06fM8jJ37lzK8nrB5OTApk22ff+GG+CFF2DWrNO5+mp7/MgRaN7c1gqcrEJxn5Wl9zo09D6Hht7n4oW6TX8f4AbqB+yvD+wq5JwHgWUi8ryI/CIi3wC3AdcYY5qUX1YrRlgYxMfbDnzDh0N0NMydC2vW2OMREbZtXymllCqtkAZ9EckCkoEBAYcGYHvxBxONfVDw5X19Us4zEB9vS/y1apFXwn/9dfs1IsK26+uyu0oppUqrIoLmS8BwY8yNxph2xphXgUbAeABjzPvGmPd90s8ALjHG3GqMaZk7hO/fwE8isi3kuQ+BiAhbfZ+VBTfdZDvxff01/PFH/nEt7SullCqtkAd9EZkK/AN4GFgFnA0MEpGtuUma5W7e9JOww/zuANYA04DfgEtCleeKULu2reJv1Aj+9jfbo3/8eHssIsKW9LUnv1JKqdKokOpxEXlTRBJFJEJEknx78otIHxHpE5D+NRHpICLRItJQRIaJyPaQZzyEoqNtCd/thltvtVP1fvKJnZoX8kv7Om5fKaVUSZ2UbeInA2NsaT89HU45BS64wFb3exficbnsMW3bV0opVVIa9CuxuDj7VQRuv91+//77cPiw/T4yEvbs0dK+UkqpktGgX4k5nbYnf3o6nH46nH22nX//3XftcZfLtvtr275SSqmS0KBfycXH23Z9gDvvtF8nToSjR+33UVFa2ldKKVUyGvQrOZfLVvOnp8NZZ0H37nDoEPz3v/Z4eLht6/c+BCillFKF0aBfBSQk2MV2jIFRo+y+CRPslLxgS/t799phfUoppVRhNOhXAZGRdghfZqYt7ffoYTvzeUv7YWG2CcDbwU8ppZQKRoN+FVGnjq3GB7jnHvt1woT8QB8dDfv25bf/K6WUUoE06FcRUVF2Qp7sbFvS79nTVu97x+07cn+SBw9WXB6VUkpVbhr0qwhjbGk/I8O+vvde+3XiRNuxD2xp/8AB+2CglFJKBSpV0DfGdDfGjDPG/J8x5hdjzEZjzGJjzCRjzAhjTK3yyqiCmBjbWz8nB7p1s+P2jx611fxgHwwcDti/v2LzqZRSqnIqUdA3xlxnjFmNXf72n9jlbjcCS4GDQDfgbWBH7gNAi3LKb7XmLe17p971Le3v2WO/j462JX9vjYBSSinlVWzQN8b8AjwDzASSgHgR6S0ifxORq0VkkIi0AxKAm4B6wDpjzJDyzHh1FRub31v/zDPhvPPsjHwvv5yfJiLCLszj8fjP2CM6g49SSlVrJSnp/xdoISL3i8hKKSRyiMhhEflQRAYB3YFDZZhPlcvhgLp186fefeABu+/DD2HTJrsvIgKWL1/Dt98uzQv0IsKiRYtITk6uoJwrpZSqaMUGfRF5VURKVVksIj+LyDfHny1VFN/Sfps2cOWV9vtnn7XHRYQ9e/7ghx/WsmDBoryAv3TpUjZt2qQlfqWUqqa0934VFFjaHzXKTuDz9dfw0092X+PGDQHD3Lk/M2HCBJYuXQpAkyZNKibTSimlKlyJg74xZrAx5l1jzNLcXvsbc79/1xgzuBzzqILwLe03bAg33mj3P/UUgKFLly5069aJgwcd7N59kIyMDLp160aPHj0wxlRk1pVSSlWQknTkq2WM+RGYDvQF9gFLcrd9QB9gujFmoQ7ZC53A0v5tt9kV+ZYsge++g19++YXt2//EmBzS0qIQEbZs2aJt+kopVY2VpKT/ItAMOEdEEkXkQhG5Jne7UERaAL2BxsAL5ZlZ5c+3tF+zJtx1l93/5JPCihWr2LJlS+68/fVxuyPZtGkTy5Ytw6Mr8yilVLVUkqD/V+BeEVlQWAIR+RG4HxhcRvlSJRBY2h8+HBITYeNGw9KlpwLwwQeX8t57fThyJBqPR6v1lVKqOitJ0I/ATsBTnEOA64Ryo0otNjZ/lr6ICHj0Ubt/3rwkYmI6cPRoNPv3R7Fq1anExXWia9euOBzaf1Mppaqjkvz3Xww8ZIyJKyxB7rEHsTP2qRByOKB+/fxZ+gYMgHPOgdTUMJ54YgCHD9fkyJEazJ9/Fg88cDFvvNEIHbGnlFLVU1gJ0vwDmAtsNcZ8Dawhv+RfC+gAXAi4sR39VIhFR9tSflYWuFzQpIkHMIjkP9NlZ9tKmA8/rEfjxh6efFJL+0opVd0UG/RFZJ0x5i/AfcDFwFWAt3FYgC3A+8DzIrKznPKpimCMLe1v22bb96dNM+T/iPxlZ4fx4ovCvffa3v5KKaWqjxIV90QkRUT+KSKnADHYnvqNgVgRaZV7TAN+BYqKsu37n38OTmfRaY2BKVNCki2llFKVSEmq9/3kTsmbUg55USeoTh270I63fb8wGRl2nn4R+wCglFKqeijJ5DyXlfaixpiGxpjux5cldbwiIqBpUzslb1GioiAuDo4eDU2+lFJKVQ4lqd5/zRizyhhzizEmoaiExphexpgJwO/AaWWSQ1Uq115LsePx3W7DZZfZWoHs7BBlTCmlVIUrSfV+a+Be4HHsA8B64GdgL5CJ7cHfEugC1ATmAwNERIfvVYB69eD22z289pqH7OyCP97w8BxGjnSQkOAgPR327IFGjbSaXymlqoOSLK17TEQeB5oAVwPJQBJwPfBPbI9+J/Aq0EFE+mrAr1jPPmvo2XM9TmcOxniwgyzs4PwWLXYzerSN8FFRtoo/NbXi8qqUUip0StyRT0SyjDHfAV/kduZTlZTTCYMHL6N9+2T+/LMFmZk1OXAgnOTkDmzdWpfdu+3KfAAxMbBrl+0HEB5esflWSilVvkrSkc9pjBlnjDkI7AaOGGM+NcbEl3vu1HFLSmpLjRppnHLKz3TuPJ8+fWZzyimbycx0MW5cfjqn087qt2sXOlOfUkqd5ErSke8W4BFgJXYVvS+AS4CXyzFf6gQ5nQ5q1crG7Xbi8QjGwAUXLCQy0s1XXxm+/jo/bVSUndTn0KEKy65SSqkQKEnQvwmYKCL9ROR+Efk7cDtwtTFGF9iphIwxuFwumjatR3R0Jjk54TgcDtq2jWHECDvFwoMPwv79+efExNhOfZmZFZRppZRS5a4kQb8l8EnAvqnYznvNj+dNjTG3GWM2G2MyjDHJxpheRaSdZIyRIFva8bx3dSAiZGVlsWvXLmrXNsTH18LlimLPnj0MGJBCjx7C/v3w0EP55zgcdpz/zp3g8VRc3pVSSpWfkgT9WOBIwD7vtC6FrrxXGGPMEGxP/6eBM7Ar880yxjQr5JS7gYYB2x/Ax6V97+pk+/btAPTs2ZW7776Sdu2SANi9O4UXX7SL9MyYAV99lX+Oy2XH7fvWACillDp5lLT3fmNjTEuf106f/Yd8E4rIH8VcaxQwSUQm5r6+0xhzPnArdnlePyJyGDjsfW2MOQtb+3BNCfNe7RhjaNWqFY0bN6Znz56A4eyzOxMeLsTFuWje3PDwwzBmjN169IDate25MTE26Hvn8ldKKXXyKGnQn1bI/s+D7Ct0uZfcPgBJ2A6BvmYDPUuYl5uAtToXQNGSkpIQEUzurDsNGhg6dUoiLs6+vuYa+PprWLjQtu+/9ZadoMcYG/h37oTERFv6V0opdXIwUsw4LWPMdaW5oIi8V8S1GgE7gHNEZL7P/keAYSLStpi81MQu9vOgiLxaSJqbgZsB6tevnzSlDJeTS01NJbYKF3/dbsjJse33ALt2RTJyZBfS08MYPXo9Awbszkvr/bWoiKBf1e9zVaL3OjT0PoeG3merb9++ySLSJdixYoN+WSqDoH878CLQSEQOFPd+Xbp0kRUrVpxgrvPNnTuXPn36lNn1Qs3jgS1bbND3BvOpU2HUKFu6/+YbaNEiP31aGtSsaaf2DaWqfp+rEr3XoaH3OTT0PlvGmEKDfkk68pWlfYAbqB+wvz6wqwTn3wR8WpKArwpyOOxMfBkZ+SX5K66Av/7VBvg77vBfgCc6Gg4c0NX4lFLqZBHSoC8iWdi5+wcEHBqA7cVfKGNMV+AvwMSi0qmiRUVBQoKdjAdsG/4zz0DjxrBqFbzg09vCt31fx+8rpVTVF+qSPsBLwHBjzI3GmHbGmFeBRsB4AGPM+8aY94OcdzOwUUTmhi6rJ6fate30u95Sfc2a8NprtibgjTdgkc/jl9NpmwJ27LB9ApRSSlVdIQ/6IjIV+AfwMLAKOBsYJCJbc5M0y93yGGPigCuBt0OW0ZOY02mr+dPT86v5u3WDu++2r++801bre0VE2P06P79SSlVtFVHSR0TeFJFEEYkQkSTfTn0i0kdE+gSkPyoisSLyXMgze5KKirIl/jSfeQ3/8Q/o0sUG9zvu8C/ZR0XZJXh14h6llKq6KiToq8qhdm0IC4OsLPs6LAz+8x/b5j9vHrzyin/62FjYt0879imlVFWlQb8aC9abv1Ej265vDLz8MvzwQ3563459GRkVk2ellFLHT4N+NRcVZcfhp6bm7+vdG+65xz4I3HGH7cTn5XTaNv7t2/2H9ymllKr8NOgratWyY/LT0/P33X039OsHhw7ByJH+Q/ZcLltLoD36lVKqatGgrzAGGjSwM/Z5g7jDAa++asfvr1wJDzzg33M/MtKmTUnRpXiVUqqq0KCvAAgPt4E/LS0/uCckwDvv2AD/8ccwYYL/OVFRdpKfvXt1KJ9SSlUFGvRVnrg4W9XvO4yvY8f8XvxPPgnff+9/TmwsHDzoP65fKaVU5aRBX/mpW9e22fu24V98sV2Ux+OB226DjRv9z4mLs6X9gwdDm1ellFKlo0Ff+XE47LC97Gz/Tnr//CdceKEdoz98uH/J3hhb4t+9G44cCXmWlVJKlZAGfVWAy2XH7/u27zsctpq/Y0e7PO+IEf69/R0OG/h37vQf/qeUUqry0KCvgoqLgzp1/AN4dDRMmmRrAlassHP0+9YGOBx28p4dO/wfCJRSSlUOGvRVoWrXtoHeuwwv2BqADz6wK/PNmgWPPOLfc9/ptL36//xTA79SSlU2GvRVoYyxQd6Y/Pn5Adq2hf/+1zYDTJoEb77pf15YmB3mt22bBn6llKpMNOirIoWFQZMmtje/b1V+jx528h6Ap5+GqVMLnqeBXymlKhcN+qpYERF2Zr60NP/Z9/76Vxg3zn5/770wY4b/eeHhGviVUqoy0aCvSiQ2FurXL9gz/6ab7OI8Ho9dnOfbb/2PewP/n3/69w1QSikVehr0VYnVqmW3wMD/z3/aRXlycuDmm+HHH/2P+wZ+Hc6nlFIVR4O+KpW6dfPn3PcyBsaOhWuusW3/I0bA8uX+54WF2ZEAO3bYCX6UUkqFngZ9VSreGfvCwvzb6Y2xHfouu8w+EAwbBkuX+p/rdOYH/sOHQ5tvpZRSGvTVcXA6bY9+Y/zn6Hc44OWX4dJLbae/YcNg4cKC58bG2iV59+8vuDqfBOwIfK2UUur4adBXx8U7lM/t9h/DHxZmh/L9/e+2JuDaa2H+fP9zHY78RXr27MkfEZCcnMzixYvz0okIixcvJjk5OQSfSCmlTn4a9NVxc7ls4M/Ksp34vJxOeOkluOoqyMiwC/QE9uo3BmrUsNX8KSmQkyNkZmayZs0a0tLS8gL+mjVryMzM1BK/UkqVAQ366oRERkLTprZU7xv4HQ549llb0s/MhOuvh2nTCp4fG2vP3b7d0KVLDzp27Eh6ejoTJ05kzZo1dOzYkR49emCMCd2HUkqpk5QGfXXCoqIKD/xPP23H77vdcPfdMH58wfOjo20V/7ZthtNP7+F3TAO+UkqVHQ36qkxER+cHft/peo2BBx/Mn7nviSfgyScLduCLjISwMOGLL1bi8eQH+cWLF2vVvlJKlREN+qrMREfnT9frG/jBztz32mu2o99//mNL/b49/0WEn39ewdat6wgLi2Lw4Jvo0KEja9as0cCvlFJlRIO+KlOxsbZzX1qaf1U/2DH8775rmwM+/RSGDoUDB+wxYwwRERG0a9eWuLhoDh40NG3ag7ZtOxAREaFV/EopVQY06KsyFxsLzZrZqv7sbP9j/frBZ59BgwZ28p6LL4bff7fHtm/fzvbt2wE7pC8zU0hO3s9vv/0Z4k+glFInp7CKzoA6OUVH28D/55+2/d7lyj/WqRN89ZUdyrdmDVxyCYwf7yEzM5ONG/cQHR3JN9942LnzZ2rX3o3H04D9+z0kJDjQAr9SSh0/Dfqq3ERF+Qf+iIj8Yw0bwvTptmf/7NkwbJiDnj0vYdEi4dlnF/Dii4bw8A6InMattxr27HGQkWFX+gvT31qllDouWr2vylVkpA38Ho//XP0AMTHw9tv5Q/oWLHDgdjvJzHQAhuxsFzk5Tt56y8Nbb9nzt2zRJXqVUup4adBX5S4iwgZ+p7NgwHY64dZb7XA9r9df7+yXJisrjPHjhexs20ywbRvs25c/fa9SSqmS0aCvQiI83I7jj4qC1FT/Y19/bY97paTEFjjf4bD9AMLCbCe/Awdg61Y7za9SSqmSqZCgb4y5zRiz2RiTYYxJNsb0Kia9yxjzeO45mcaYbcaYu0KVX1U2nE7bll+zJhw5kj9Bz549kJGR30OvY8e9Bc7NyDDs2WO/N8aOEDDGVvcfOKClfqWUKomQB31jzBDgVeBp4AxgETDLGNOsiNOmAOcDNwNtgb8Dv5RzVlU5cDigXj3bIe/oUTuWv149iIrKr96/7rq1Bc6LiBDq1fPf53LZUv++fbbKX0v9SilVtIoo6Y8CJonIRBFZLyJ3AinArcESG2MGAucCg0RkjohsEZGlIjI3dFlWZckYqFXLVvdnZMCAAQWn7g2UkWFX5Ass0XtL/SK2ul/b+pVSqnAhDfrGGBeQBMwOODQb6FnIaYOB5cAoY8x2Y8xGY8y/jTEFG35VlRITA4mJdond668XwsOzg6YzxgMYnnrKLte7Y0fBNBERNvgfOKA9/JVSqjChLunXAZzA7oD9u4EGhZzTEjgb+AvwN+AObFX/pPLJogollwuaN4cxYxz06bONsLAcjBHAQ3h4FmFhOQwatIkJEyAhARYsgP797TK9gdPxe0v9Tqet7k9JKTgjoFJKVWcmlAuZGGMaATuAc0Rkvs/+R4BhItI2yDmzgV5AAxE5nLtvIPBN7r7dAelvxrb9U79+/aQpU6aUWf5TU1OJjdUKhvJy5Egahw5lEB0dxv79YTgcHqKiMomLiyY6OpqDB8N5+eW2LFlSB4Azz9zPXXf9Rv36mUGv563mDwuzDwKqIP2dDg29z6Gh99nq27dvsoh0CXYs1EHfBRwDhorIJz773wA6isg5Qc55DzhLRE7x2dcU2AZ0FZHlhb1fly5dZMWKFWWW/7lz59KnT58yu57K5/F4eOutt0hJOUSHDu0544yLmT37c7Zu3UpCQgLXXHMNDocDEfj4Y3jsMdvGHx0N998PI0YED+wej63qDwuznQejo4P3Gaiu9Hc6NPQ+h4beZ8sYU2jQD2n1vohkAcnAgIBDA7C9+INZCDQKaMNvk/t1a9nmUFUUh8NB/fr1adu2GfXq1SQmxkG/foNp2rQ5devWxeGwv6rGwJAhMHcuXHSRDeiPPmrn71+9Oth1bZV/WJidDvjPP7WXv1Kq+qqI3vsvAcONMTcaY9oZY14FGgHjAYwx7xtj3vdJ/z9gP/CuMaaDMeYs7JC/aSKyJ9SZV+XnsssuY+jQoRgDjRpB48YOBg4cTL9+gwqkrVcP3noL3nnHrti3ciVccAE88AAcPFjw2mFhtsOg2217+aekQFZWCD6UUkpVIiEP+iIyFfgH8DCwCttJb5CIeEvtzXI3b/pUoD9QE9uL/2NgHnB9yDKtQsa3RF+zJrRs6cDptLP4BWuJOu88W+q/+WZbqp88GXr1gg8+8B8G6BURYcf2HzsGmzfbiYG0s59SqrqokBn5RORNEUkUkQgRSfLt1CcifUSkT0D6DSIyUESiRaSxiNwuIkdDnnEVci6XHc9fp46dzCczSJ+9uDhbxT9nDvTsaUv6999vHwjmzy+YHux0wLGxdmbAzZth7147UZBSSp3MdO59Vek5HHa4XosWtgbg6NHgE/C0bWs7+b35JjRuDOvXw9ChcPXV8OuvBdMbYzv2xcTYToGbNtngryV/pdTJSoO+qjIiIuyY/nr1bPV84FK9YAP5JZfAvHkwZoytBfjhBzvr3z/+YcfvBzsnOtqW/A8fhj/+gN27tc1fKXXy0aCvqhTvFL6JiRAZaavng1XLR0XB7bfDwoUwfLitLfjkE9ve/8ADtiNfsGt7g//Rozb479ypvf2VUicPDfqqSnK5bBV+06a2Or6wjn61a8NTT9mS/+WX22aByZPhrLNg7NjgU/p6g3+NGjbgb91qawjS0oK/h1JKVRUa9FWV5p2/PyHBBuVgVf5g07z6Knz/vR3fn5lph/uddRaMHm3n6w8mMtI2EXg8doz/H3/YjoK+tQuBE1yFcsIrpZQqDQ36qspzOm3v/sREW0IvrJc/QOvWdnz/t9/atn+3G/73P1vtf+utsGpV8PNcLlvyd7lsZ79Nm2DXLli06CcWLVqcF+hFhMWLF5OcnFwun1UppU6EBn110nC5oGFD29nP4bDt/YX1xG/XzvbynzvXzvDncMCXX8KFF8Jll8E33wQfIeB02jb/2FhITRW2boW5c7cwZ84ysrNtwF+9ejWZmZla4ldKVTphFZ0BpcpaZCQ0a2Z7+O/ZY4N/dLSdlS9Qq1bw0ktwzz3w7rt2Up+lS+2WmAjXXGMfCmrV8j/Ptvsb0tJ24XZnsWTJZpYs2UJERCYuF+zcuQujk/wrpSoZLemrk5Ix+e39jRvbNvijRwsv+TduDA8/DMuX24l+mjSx7fxPPAFdutiHgp9/9u/I5/F4yMzMZP/+DJYsqceCBW35/vtmbNgQxtatYezZ4yEjQzv/KaUqDy3pq5OaMbYjnq2Ot+3xGRm2NiA8vGD6uDg7pe8NN8B338GkSbbn/5QpduvQAa66CgYPhpo1Hfz22yW8+aYHYzxkZ4cTHp7N99+fza23Ojh82MHBg/Z94uPtQ0hERIhvgFJK+dCgr6oF3+B/7JgN/keP2n4AwQKx0wkDB9pt0yY7zG/aNFi7Fh56yNYANG8u/P674Hbn/xllZ7sAGD8+B4fDcN99Brcb9u+37+n7AOByVdwyvyLi1/wQ+FopdXLS6n1VrXir/Zs3t2P8w8Jsm396euHV8K1awbhxkJxsO//17m1rCzZsMLjdzqDnZGeHMX68neHP6bTvGRdng/7+/bbpYPNm2LfPvnewToPlJTk5mcWLq96IAx0aqdSJ06CvqiXvBDxNm9o5/b3V/2lpwVfnA1sjcMkl8NFHdla/sLCig44x8NVX/vsCHwAOHbLj/71DANPSynfhHxEhMzOTNWvWsHjxYgAWL17MmjVrKvWIg+TkZBYtWuT3oLJo0aJK/6CiVGWj1fuq2ouIgPr17ex9R4/CgQM28BZW9Q/2eGEPB14ZGbZJoH17+Mtf7LBAX06nffAAW8tw7JitGfDmqWZNO52wy1Xw3ONljMHlchEbG8uaNWtISEjgwIEDxMbG4nK5KmUVv4iwadMmtm/fDkDPnj1ZtGgRS5cupUmTJnTu3LlS5lupykiDvlK5wsLs0Lz4eFvlfuCAfQhwOGzHP6dPTX69ehAVZTh2rKgrGpYtszMANmhgl/rt398u/xsZGZDS2H3e/Tk5turf48lvkoiLsw8DJ9IXQETIysriyJEjHDt2jISEBFJTU/F4PGRlZVXatv0mTZqwfft2li5dypo1a0hLS8vbr5QqOQ36SgXwVv1HR+fP63/woC2Jh4XZwHzhhTB2rACFB8jwcOHvfzf88INd4Oe99+wWGQlnnw3nngt9+9omhkBhYfnzCojYFf927crPX0yMbZIo7UOAMYbw8HDcbjfp6enk5OSQnp5OREQE4eHhlTLgG2Po0aMHAHPnziUjdwWkPn360KNHj0qZZ6UqKw36ShUhPDy/9J+RYUv+3s55N9wgTJiQQ05OwbF/4eHZ3Hqrk/vvN4jYMf5z5tjpf9essV+//dambdECzjnHbt272+l+fRljg7u3qUHETjPsXWTIGNsMEBtrHyhcLv9aCV8ej4eNGzdy+PBhnE5n3nb48GE2btxIUlISjrJqSyhj7oD2lMDXSqniadBXqgS8gTUqys7zn54ODz5oWLVqLUuXdiQszJCV5cDl8pCTI3Tv/gujR3fOO/f00+02erQtsX//vd0WLrS9+DdvtnMCOBxw2mm2CeCss+zEQLGxBfMS+BCQnZ3fHAD2YSUmxm7h4XZzOMDhcNCmTRsOHjzIoUOHcLvduN1u4uPjadOmTaUM+CLChAkT2Lt3L1FRUcTFxXH06FHmzZvHunXruPnmmyttaV+HRqrKRoO+UqXkcHgDquHll91s357M7793ZccOQ+3aDpo0WUnDhuE4HMH/uTdoYCf4ueoq23a/apWdAGj+fPu9d3vzTVti79ABunaFbt3sQ0C9ev7XM8aW7l2u/H1ut60JOHw4fyhiRARERwuHDuXg8YTzzjvXMmrUr0RF7cTpdFbaNn2Px0Nqaiput5vx46+kUaNGXHHFm6Smpub1R3AWVrVRgZKTk8nMzMxrmvAOjYyIiCApKamCc6cqg4p4KNSgr9QJcDqhfv0cLr3UlrLT0+H773PIyAjn6FF7PCKi8Or2sDAbyL1T/aal2amAFy6ExYvhl1/yt7fftuc0bQqdO0NSkq096NChYMdAp9PWSviyUxEb1q8/zNatNTl0qCbZ2U4WLuxBp06/UqPGHs480xAWVnGTBgXjdDrp3bs3y5YtIycnhz//3MahQ4eoU6cOXbt2rZQB33dopJd3aGTHjh0r5cNVVVYVa1R8HwqNMSF7KNSgr9Rx8v5jX7t2bV5ns19+WcyuXWvo0KEjTZsK6emGw4fJ6+XvLZEX9v8oJgb69LEb2POSk2HZMrsI0KpVdlz/n3/CF1/YNGFhcOqpdljgaadBx472deCDgA3mHj77rAHz55+Lx+PA7Xbw1Vdn8sUXZ9Kz53pOP91DeLgDlyt/NIHLld+xsKL+j5555pl07tyZF1+0w/aMMdxyyy2VMuCDf+dD36GRHTt21M6HZawq1qgEPhT26NEjZA+FGvSVOk6B/9i9f8C+/9ijo+34/+zs/I6AaWn5Q/FcLtveXtjfd3Q09OplN7DV9hs2wE8/2YeBn3+G336znQPXrIEPP7TpnE5o08bOEdC+vV1KuF07mDTJsHBhB7+pg7Oy7PdLl7ZjwgTD6NH+zQO+wsPzHwQiIvIfBpzO8n0g8Hg8TJ06FTgrb9/UqVO58sorK2U/BICffvoJT8BUix6Ph59++qnSBqOqpqrWqJTkf0d50aCv1Anw/vH6/tMJ9kfr7UwXF5c/BM/3IcA3XVE1AU5nfiC/+mq7Ly0NVq+2tQDe4L9pE6xfb7dPP/XLMb5/9r//Hp/3fVaWnTp45Eg7MVCwpYjdbptv74OLr7Cw/A6G3iYNp9PudziO/6HA4/EwZcoU1q/fRXp6LSIj4/jjj3NJT1/IlClTKmXgFxF+//13Nm/ejMvlypsP4ccff6RFixY6oVAZqco1KsYYunfv7ve/o3v37tqmr1Rl5q1K9LV48eIi/+H49r6vWdMGz6ys/GF4x47lB9SwsKKH4IFtEuje3W5e6emwbl1+4F+/3tYK5A5xzzN+/Ol+r3NyhH/8wzB4sB1K2KKFfVDx8gbyYNzu/BoNtzt/OKH3M3s/i3fz1hA4HEVf1xgHn312Bl980Rq324nHY5gypStZWUlccslGhg6tXAEf7O+F2+0mO3ctZ++kSNnZ2bjd7kpbAq2KjDF07drVL3h27dq10t/fFStWsGHDhrzfBRHho48+om3btnTp0qXc3leDvlLHyRvwvVWJvu1yELzEH4x3xr/ISPsQ4B2Cl5VlHwDS0uxX76XCwmyNQFEPAlFRtqOfby3ySy/Biy/6TyjUvLnt1Ofldhtmz4bZs/PPS0iwCxR5t2bNoEkT26GwUaP8JYqLCtz22vkPBR6P/wJH3geE8PD8hwNv7chTT8GXX7YmOzv/31Vamq2xmDGjNY88Ylc9rEy8QyMBNm/enDc0slWrVpV2aGRV9fbbb3Pw4EHicp9OPR4PL7/8MrVq1eLGG2+s4NwF5/F4WL58OXv37qVVq1YMHTqUjz76iE2bNnHkyBE6d+5cbr8jGvSVOk7GGCIiIvyqEr1VjREREcdd0vAdgucdo+8NmJmZ9gEgPd1uXk5nfsAsTP36to+A79TBd965knvv7ZP32uUSevY0REXZuQO2bLHTER84ACtXFrymw2Gv27hx/tawof9Wp07+A0FRDwUi9mHA7c5vPjh4EF55RfL6HQTKzAzj+eeFESMMtWvn1xwE20ItKSmJjIwMtmzZAtjfl2bNmlX69nyPx+MXcAJfVyY5OTns3buXrKwsAE499VQ2b97MsWPHyMnJIScnh7Ci/igqiDEGh8OBw+Fg165dTJw4kdTU1Lx92qavVCWVlJTkV1XrDfxl/UfrDZje2gDIfxDIzrYPAMeO2eYBL2PyHwacTu/UwUW/jzF2fgDve3g8sGcPbN1qt23b8kcP/PmnnV7Yu61YUXje69a18xPUr2/nGahXz+6rX98+FNSta79GRfk/GHz2GTidRd9Lh8Pw0UdwxRWFL48M+X0LvP0MvM0L3s2Y/L4H3gcF332l4V0FcNmyZbzzzjX885+/Ehm5k2XLlmGMoWfPnpWy+nn69OlkZGTk9ZPw9qeIjIzksssuq+jsFeB0OklMTOSXX/7k3/8ewdixP7Ngwal06LCeNm2aVtrRHQCdOnXi++9X8q9/DcHtDqN37x8588ytdOrUqVzfV4O+Uico8J93qP6Z+z4IeNvdvU0DOTm2eSA93Vanp6fbIHf99fD22zl+VeVeLlcOt9zizAv4YANegwZ269atYB6ysmD3btixI3/zfRBISYH9++0shN61A4oSE2ODf0KCHfWwaxccO1b0GgcZGcKhQ4aYmKKv7fHkb75NDN6tON4HBt8+CN6HA+8Dhe8DwubNu8jKchAbW4OwsHA6derBkiWL+fPPnXg8J9a5sTx4PJ68mglvB8kpU6awZcsWEhMTK2mJ37Bu3ZW89JKH7GyD2+3k//7vPL75ZhD33eegqN+bimX473+b8/77XXG7HYgYZs0ayMyZDjZv3k2PHlrSV0qVgG/TQHS0XTMAbFDLyYHnn4cdOzYyc2Zr3G77DzwsLAtwcM45m7nlllNIT/cPbEUFJpfLtu0HWzTIKysL9u7ND/x799oHBe/Xffvyt7Q0u23d6vepivzMIoa334ZZs2wNRXy8Xb/Ad4uLs19jY/O/xsXZr1FRJQu+3uYH773MzvZ/aPB/eDAcOhRLeHhLXK4aiEC9et1wOveyb18Ev//urRkqWKsQbCusFsJ7De/m+7qwY8HSgO2H4Bvon3nmGQASExMr5QgJgEcegeefd/s1/2Rn26kpn38+BwirdP09AMaO9fDBB/XIySmY7w8+qEfDhh6efFLb9JVSx8nbSS483DB9ehtefPEdnnvuUpxON+ef/w09e+7mzjtHIGLIysofTZCZWbAU7BuMimunB/tg4G3vL4oIHDliawa8259/whNPCG530VH50CG7HY+wMBv8vSsXetcsiImxD07er75bVFTBr97NdsoUGjSozerVf7BjRwbZ2fDaa1upWzeDU05pSGyst8e2zYN3tIZvv4bABwnfr77f+z6wBL4OprA0DgesWbMWh+MUDhw4ANh0rVufwqxZazjttNPy+kYEfvV9uMh/iPC/duA+3zyU5PvA14cOwQsvCJmZhff3eOEF4a67DLVqFTwe7B4Udu9Kk7Y4Bw/Ciy8asrIKLtQFkJUVzosvCvfem//QXpY06CtVjXgnucnO3kONGscID/dw1llrcbvdfPmlnewmLs6/hOF2+2/ekQVZWfn9CaBgMAl8OCiuOtsYW1KvWRNatszff/Cg4c03gzdJhIXlcOONYVx3nZ1I6OBB+/XoUfsAcfiw/XrkiN3n3Z+Wlj9HQmbmiT00FPJpgC6A7bT34IM9SUsLBxKpXRuaNDFERuYvjew7v4G3psb3e9/NO5eDd9ij7z7vyA7f7wv76vuwZh8khOTkhRw7doypU/+OMYYrrpjG4sULiYqKoUOHTnkPX8EeRAIFjs4oLF3gOd7fkaIeaETgk0+KD7zGwFtvwd//XvzDUUkemErC98EnmI8/Lv59nE77+W666cTzE0iDvlLViMPhICIigvj4eB544P9ISEggPDyB7OxsIiIiglbhlqbXve/XrKz8avDs7Pz9vucFq4YOrNq+5x4PGzb8zrffnpLX/ulyufF4oH//3xkzpg1O5/FXhWZl2Q6QaWn2q3euBO9QydTU/I6S3n2+Iyi8xzIy8vtPHD5sr+ttmkhLy18NyVuLUdG8cyf4PgRkZV0DeEhPjwYM48ffRGRkBmFhHr78Mj+d7xbYQTKwz0Pg94G1RN6HQd80vq8Dj3tfz5sH6en+0XP58vp+r9PTDUuX2o6jgU0kELzpJNj+0mzee1tYE8vGjQXzHejYMVOiPjDHQ4O+UtWIiNCwYUP2799Px44dycrKolGjRqxZs4aGDRse16Qx3n/IJekoHfiA4N3cbvuA4N28r206BzfdlE3PnnN49dWe5OQ46d17HV277qNdu6ZkZDgKPDQE+74wLpftOJiQUKqPXahDh+yCSL7GjVvIuHH5UwiHh9sFlMLDbU1DRkZ+k4rvV9+mFu/Dk/eYt7Omd7938+7zPnAFfvXW1ng7febX1hjAvzfksWMxHDtm9+3ZUzb3pzxNndquwL6vvrJbVRIdLTRoUD6d+TToK1WNBM4tMG/evDKZW6Dk71/yBwQvEWjVqhMXXdSByZN3IQIDB67muutGYIwj7wEiJ8f/q7e2wft9afNZWGmtuJLd11+Dw+E/4iA2Ntvv+mFhwu7dhmHDSpevshT4oPXyyzB5spCRUfB3ICJCuPRSm1/f83wf2HybgLz7g31f2ENf4GuRgvu9HSm9IzCmTRM8nvz8JiXtIjm5Qd5rh0MYMMDgdPp3xAz83vs62L7Ajpq+/S+K2gpL43bDli2CSOF/a263bZIoDxUS9I0xtwGjgYbAWuAfIrKgkLR9gB+CHGonIr+WVx6VOplJQONq4OvKxJbYhaVLl2BMYu4IBTerVy8p1ZwIJfmHHhgAitoCO9t5g8H27QQNnL4yMgzbt9t+BcV1Hgv8WtzxYOmD7XM48vsGHD4M778vZGYGz0xmpuGzz4RHHjF+QzorWsOGhjffzCY723aKGzr017ygHx6ezW23hXPffRWZw+Cee45C+6m4XNnce29YuXTigwoI+saYIcCrwG3Aj7lfZxlj2ovItiJO7QAc8Hm9t/xyqdTJKXA5YLBrBaxdu7bSrkrmO93xu+96lyHteFzTHZc3EbsYUnS05E4VHFxUlNCmjckb6hisl773IcL3a3GlzmDnBbt24PHp04u/Pw6HXbzJOwlSaX5NTmRUQVH7R470sGbNH8yd2wqPx34AlysHtxt69/6DkSNbk5pa8IOVJv+l/XMoSfrbboN16zbz/fct8HhsP5Xw8GxEDBdd9BuPPda+dG9aChVR0h8FTBKRibmv7zTGnA/cCjxYxHl7RGRfuedOqZNYVVyVzNsk0aFDB7/pjkUkJE0SpWGMDYr/+EfRefJ4bFV5dHSIMlYMkZLVTrjd0KpVwV74wXrqF3a8LPbl73fwyCOp9OkzmaVLGxIXl8OAAd/So8cuzj67E02bBg/4JVHSSZuOJ73HI/ztbytp334mv/7alqysaGJjD9Ox43o6dGgMtINymlgopEHfGOPCjmF5IeDQbKBnMaevMMZEAOuAJ0UkWJW/UqoYJV0OuDLZunUrGRkZefkUEbZu3UpkZGSlm8u+Vi074uD55z1B1wxwuXK45x4H8fGVZ7KbBg2Kr52IjhYaNTKl6o9R3kSEsLBM6tbNomvX5dSo0Zpu3TZSp049wsMziYmpfDVXloPOnVuQnb2HhIRleXsTEhLKfUEmE8q2PGNMI2AHcI6IzPfZ/wgwTETaBjmnLdAXWA64gGuAW3KvUaAfgDHmZuBmgPr16ydNmTKlzPKfmppKrHcFFFVu9D6Xv7S0NNLT03E6nbjdbqKioogpbh7bCnTgwAGysrLy1qYPfF0Z/fFHBocORSICTZqksmNHDGCIj8+gZcvIis6eH7fbLr1cVDgwBv7yl9J1wgyVvXv3kpOTQ0REBJmZmYSFhVG3bt2KzlaR0tLSSE1NxePx5D3IOhwOYmNjT/hvsW/fvskiEnR93krfe19ENgAbfHYtNsYkYjsCFgj6IjIBmADQpUsX6dOnT5nlZe7cuZTl9VRwep/Lj7d9/LfffssbsudyufyWB66MJSPvwi+//prfdzcxMZHBgwdXyulhRYQ9ez5hx47fmTjxekaPXsbu3U2Ii/s/mjSpxznnnFfp7vPcucILL3jIyCgY1SMj3dx7r4Nzz61cefb+XmzevBmn08kpp5zC1q1bcbvdZGdnV9rpg0WETz75hM2bN+NyuYiJiSEtLY2srCxatmzJoEGDyu33I9R3Yx/gBuoH7K8PlGYqgqVA67LKlFLVReCQPbBV+x07dqx07eO+vPPC+6qs/9B9RUdnUqdONhERcMkle4iKyqzoLBXq8ccNw4btJjw8B2M8gOByZRMensOwYbt5/PHK97vhcDiIjIwkPj6eWrlz7daqVYv4+HgiIyMr/e+Hy+WiW7du3HzzzXTr1g2Xy1X8SScopCV9EckyxiQDA4BPfA4NAD4txaVOB1LKMGtKVRuhWg64LHlLdL68K8FVxn/sxhhatmxJTk4OqalpZGdns3r1Bho2bEjLli0r6b0Wrr9+Cx06zObll6/A6YxiyJCtNGjwI127tsGOsK5c+RYRGjRowN69e+nUqVPeZFOrV6+mQYMGlXI0Ctjfj1atWtG4ceO8ZZZ79rTd2iIjI8s1zxVRvf8SMNkYswxYiG2fbwSMBzDGvA8gItfmvv4HsAU7nt8FXA0MBv4W2mwrdfKoqOWAj4c34HuXePVdCa6yBn4RISsri9TUVG65ZQr16zdj27Y0jDFkZWVVymDkrQXq2rU1W7dG5bYzt2LRot2VthbIm+dOnTpVyGRTJyLYw7f3AaA8hTzoi8hUY0xt4GHso+MaYJCIbM1N0izgFBfwPNAESMcG/wtFZGaIsqyUqkDeKlzfJV69gb+yVuEaYwgPDyc7O5uMjAxycnLIyMggIiKC8PDwShuMtm7dSnp6ut8oiS1bthAVFVXpRkl4VcWaK6+KePiukI58IvIm8GYhx/oEvH4OeC4E2VJKVVKXXXYZHo8nL8B7A39lDPhgayc2btzIoUOHcDqdhIWF4XA4OHToEBs3biQpKanS5d3j8ZCRkcHWrVvzalCmTJnC1q1bSUxM9Lv/lU1VqrmqaJXzJ6iUUgECA05lDUBg89a6dWvi4+Nxu93k5OTgdruJj4+ndevWlTLv3gepxMREtmzZwjPPPOPXpFIZ86xKT3+KSilVxkSE7OxswsPDiYqKIiwsjKioqLwq/8q61kFVHSWhSk5/kkopVcaMMbhcLr+JVmJiYoiNjcXlclXa6ufCRkl4SrtMoaq0NOgrpVQZ8/beP3r0KJ06daJOnTp06tSJo0eP5vXer2wCR0k88MADeVX9GvhPHhr0lVKqjAUOJQM7CVKnTp0q7VCywkZJJCYmVtpREqr0Kv00vEopVRVVxaFkVW2UhCo9/UkqpVQ5qYpDyarSKAlVevrTVEoppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJjToK6WUUtWEBn2llFKqmtCgr5RSSlUTGvSVUkqpakKDvlJKKVVNaNBXSimlqgkjIhWdh3JjjNkLbC3DS9YB9pXh9VRwep9DR+91aOh9Dg29z1ZzEakb7MBJHfTLmjFmhYh0qeh8nOz0PoeO3uvQ0PscGnqfi6fV+0oppVQ1oUFfKaWUqiY06JfOhIrOQDWh9zl09F6Hht7n0ND7XAxt01dKKaWqCS3pK6WUUtWEBn2llFKqmtCgX0LGmNuMMZuNMRnGmGRjTK+KzlNVYYx50Biz3BhzxBiz1xgzwxjTMSCNMcaMM8bsNMakG2PmGmM6BKSpZYyZbIw5nLtNNsbEh/TDVCG5912MMa/77NP7XEaMMQ2NMe/l/k5nGGPWGWPO8Tmu9/oEGWOcxpgnfP73bjbGPGmMCfNJo/e5FDTol4AxZgjwKvA0cAawCJhljGlWoRmrOvoAbwI9gX5ADvCtMSbBJ819wD3AncCZwB5gjjEmzifN/4DOwPm5W2dgcnlnvioyxnQHbgZ+CTik97kM5AaMhYABLgTaYe/pHp9keq9P3P3A7cBdwKnA3bmvH/RJo/e5NEREt2I2YCkwMWDfRuBfFZ23qrgBsYAbuDj3tQFSgId80kQBR4GRua/bAQKc5ZPm7Nx9bSv6M1WmDagJbAL6AnOB1/U+l/k9fhpYWMRxvddlc5+/At4L2Pce8JXe5+PbtKRfDGOMC0gCZgccmo0tuarSi8PWMh3Mfd0CaIDPPRaRdGA++fe4B5CKrWXxWgikoT+HQBOAaSLyQ8B+vc9lZzCw1Bgz1RizxxizyhhzhzHG5B7Xe102fgT6GmNOBTDGtMfWFs7MPa73uZTCik9S7dUBnMDugP27gf6hz85J4VVgFbA493WD3K/B7nFjnzR7JfcxHUBExBizx+f8as8YcxNwCnB1kMN6n8tOS+A24GXgGeB04LXcY6+j97qsPIstJKwzxrixMespEXkz97je51LSoK9CyhjzErZq7WwRcVd0fk4mxpi22Grns0Uku6Lzc5JzACtExNu2vNIY0xrb3vx64aepUhoCXAtcBazFPly9aozZLCL/rciMVVVavV+8fdj25/oB++sDu0KfnarLGPMyMBToJyJ/+Bzy3sei7vEuoK5P9Sm539dDfw5ePbA1U2uNMTnGmBzgHOC23O/356bT+3ziUoB1AfvWA97Ovfo7XTaeB14QkSkislpEJgMvkd+RT+9zKWnQL4aIZAHJwICAQwPwbyNSRTDGvEp+wP814PBm7B/fAJ/0kUAv8u/xYmwHwB4+5/UAYtCfg9fnQCdsaci7rQCm5H7/G3qfy8pCoG3AvjbkL+Wtv9NlIxpb6PLlJj926X0urYruSVgVNmwVUxZwI7Yn6KvYjiHNKzpvVWED3gCOYDvgNPDZYn3S3A8cBi4DOmID1U4gzifNLGA19g+2R+73Myr681XmDZ/e+3qfy/S+nglkAw9h+1D8Pfe+3q73ukzv8yRgO3ZYZCJwKbAXeFHv83He04rOQFXZsJ12tgCZ2JJ/74rOU1XZsENjgm3jfNIYYBy22jQDmAd0DLhOLeCD3AeII7nfx1f056vMW5Cgr/e57O7thcDPuffxN+xYcqP3ukzvcRzwCrYGJR34A9tvJVLv8/FtuuCOUkopVU1om75SSilVTWjQV0oppaoJDfpKKaVUNaFBXymllKomNOgrpZRS1YQGfaWUUqqa0KCvVAUwxvQwxnxsjNlpjMkyxuw3xswxxlxnjHHmphlujBFjTKLPeVuMMZMCrnWxMWa1MSYjN328McZhjHnFGJNijPEYYz4vx8+SmPu+w4tJ5/08p5RXXo6XMWawMWZUkP19cvOsi2upk4IuuKNUiBlj/oGdP/x77GxiW7GThwwE/gMcAr4o5PRLsZOLeK8VBnyInU70duzMkUeBy4G7gXuw05DuL3Al5WswdtXMlyo4H0qVKw36SoWQMaY3NrC8LiJ3BRz+IncVwpjCzheRlQG7GmNnLftYROb7vE+73G9fERFPGeQ7QkQyT/Q6SqmKpdX7SoXW/cAB4L5gB0Vkk4j8UtjJvtX7xphx2KmhAf6bWw091xizBTstKYDbt+rdGNPQGPO+MWafMSbTGPOLMebqgPfwVsP3NsZ8Yow5BCzNPRZtjHkztzki1RjzJdDkOO5DoYwxNxtjfs5trthnjPmvMSYhII0YY540xtxljNlsjDlqjJlnjOkQkM6Zmy7FGHPMGPO9MebU3PPH5aaZBFwHNM7dL7n30Fe0Meb13PzsM8Z8YIyJL8vPrVQoaElfqRDJbavvC3wuIhllcMm3gTXAJ8CTwNfYqv8I7Dzww8lfWWyTMSYGOy95LWAM8CdwNTDZGBMtIhMCrv8h8BG2qcD7v+It7AJUjwHLsaub/a8MPgsAxphnsE0S/wZGY2syngQ6GmN6iojvimtXAxuwzRgu7DKsXxhjThWRnNw0j+V+1ueBb4Ek4MuAt30CqItdROevufsCazVeBb7CruveFngOu9rbdSfyeZUKNQ36SoVOHSCK/OVXT4iIbDfGrMp9uUlElniPGWN25Kbx3XcH0BroKyJzc3fPMsbUB540xvw3IKhOE5H7fM5viw16D4nIM7m7ZxtjYoFbTvTz5HZYHA08JiKP++z/DfgRuBi7fLBXNnCRiGTnpgP7ANQVWGSMqQX8AxgvIvfnnjPHGJMFvOi9iIhsMsbsBbJ871eA+SJyZ+73s3PvxY3GmOGiC5ioKkSr95WqPnoDO3wCvtcH2JJu+4D9nwW87ob9n/FxwP4pZZS/AbnX/9AYE+bdsE0LR7H59zXHG/Bzrc792iz3ayds/4hPAs6bdhx5+zrg9WpsjUr947iWUhVGS/pKhc5+7PKgzSvo/ROwy48G2uVz3Fdg2oa5X3cH7A98fbzq5X79vZDjtQNeHwh47a2Sj8z96s3vnoB0x5Pf4t5LqSpBg75SISIiOcaYucCACuoNfwDbHh2ogc9xX4HV1t6HgPrYdc3xeV0WvMMKBwIHizheUt781gPW+uzX0rmqtrR6X6nQegZbYn0u2EFjTAtjzGnl9N7zgCbGmLMC9l+FLQ2vK+b8pYAHuCJg/5Vlkz3m5F6/mYisCLJtLuX1VgNpwN8D9ge+Bltyjyp9lpWqWrSkr1QIicj83JnfXjLGtAcmAduwPerPBW7EBuFCh+2dgEnYnu7TjTEPAduBYdi29JEBnfiC5X2DMeZ/wOPGGAe29/5AYFAp83G+MWZXwL7DIjLHGPMs8HpuR7l5QAbQNDePb4vIDyV9ExE5aIx5BRhjjDmK7b3fGbghN4nv/AXrgARjzK3ACiBDRFaj1ElGg75SISYirxhjlgH/BF7A9uo/ig02I4EZ5fS+acaYc7C1DM9gJ/XZAFwjIh+U8DIjgVTgXuwwue+xDyk/liIrrwXZtxboKCJjjDHrsbML3o5tYvgT+A7YWIr38HoUMNhAfxe2tmI4sBA47JPubaA78DQQjx1hkXgc76dUpWZ0tIlSqjoxxlyO7dHfW0QWVHR+lAolDfpKqZOWMaYbcCG2hJ+BnZznAWwNR08dY6+qG63eV0qdzFKx4/tvB2pgOyx+DDyoAV9VR1rSV0oppaoJHbKnlFJKVRMa9JVSSqlqQoO+UkopVU1o0FdKKaWqCQ36SimlVDWhQV8ppZSqJv4fTFzGMltgY3EAAAAASUVORK5CYII=\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "lengths = np.arange(1, 1000, 100)\n", - "num_samples = 10\n", - "seed = 1010\n", - "qubits = [0]\n", - "# Run an RB experiment on qubit 0\n", - "exp1 = StandardRB(qubits, lengths, num_samples=num_samples, seed=seed)\n", - "expdata1 = exp1.run(backend)\n", - "expdata1.block_for_results()\n", - "result = expdata1.analysis_results(0)\n", - "# View result data\n", - "print(result)\n", - "display(expdata1.figure(0))" - ] + "metadata": {} }, { "cell_type": "markdown", @@ -130,48 +126,6 @@ { "cell_type": "code", "execution_count": 44, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "Analysis Result: StandardRB\n", - "Analysis Result ID: c458cbc5-8f70-4c93-a416-5a82dc345f6e\n", - "Experiment ID: b70311b0-ea64-4af3-b1d2-ab0b95ff79dc\n", - "Device Components: [, ]\n", - "Quality: None\n", - "Verified: False\n", - "Result Data:, >\n", - " - a: 0.6929359057250185 ± 0.022809600699452162\n", - " - alpha: 0.9544996812764374 ± 0.003341829326697232\n", - " - b: 0.2647774987044865 ± 0.006159040209452071\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Backend's reported EPG of the cx gate: 0.012438847900902494\n", - "Experiment computed EPG of the cx gate: 0.01262803065926493\n" - ] - } - ], "source": [ "lengths = np.arange(1, 200, 30)\n", "num_samples = 10\n", @@ -208,7 +162,47 @@ "exp2_epg = expdata2.analysis_results(0).data()['EPG'][qubits]['cx']\n", "print(\"Backend's reported EPG of the cx gate:\", expected_epg)\n", "print(\"Experiment computed EPG of the cx gate:\", exp2_epg)" - ] + ], + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Analysis Result: StandardRB\n", + "Analysis Result ID: c458cbc5-8f70-4c93-a416-5a82dc345f6e\n", + "Experiment ID: b70311b0-ea64-4af3-b1d2-ab0b95ff79dc\n", + "Device Components: [, ]\n", + "Quality: None\n", + "Verified: False\n", + "Result Data:, >\n", + " - a: 0.6929359057250185 ± 0.022809600699452162\n", + " - alpha: 0.9544996812764374 ± 0.003341829326697232\n", + " - b: 0.2647774987044865 ± 0.006159040209452071\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Backend's reported EPG of the cx gate: 0.012438847900902494\n", + "Experiment computed EPG of the cx gate: 0.01262803065926493\n" + ] + } + ], + "metadata": { + "scrolled": false + } }, { "cell_type": "markdown", @@ -222,8 +216,6 @@ { "cell_type": "code", "execution_count": 45, - "metadata": {}, - "outputs": [], "source": [ "# Run an RB experiment on qubit 0\n", "exp = StandardRB(qubits=[0], lengths=[10], num_samples=1, seed=seed)\n", @@ -242,7 +234,11 @@ { "cell_type": "code", "execution_count": 46, - "metadata": {}, + "source": [ + "from qiskit import transpile\n", + "basis_gates = backend.configuration().basis_gates\n", + "print(transpile(c, basis_gates=basis_gates))" + ], "outputs": [ { "output_type": "stream", @@ -309,7 +305,23 @@ { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "source": [ + "lengths = np.arange(1, 1000, 100)\n", + "num_samples = 10\n", + "seed = 1010\n", + "qubits = [0]\n", + "\n", + "# Run an Interleaved RB experiment on qubit 0\n", + "# The interleaved gate is the x gate\n", + "int_exp1 = InterleavedRB(\n", + " circuits.XGate(), qubits, lengths, num_samples=num_samples, seed=seed)\n", + "int_expdata1 = int_exp1.run(backend)\n", + "int_expdata1.block_for_results()\n", + "result = int_expdata1.analysis_results(0)\n", + "# View result data\n", + "print(result)\n", + "display(int_expdata1.figure(0))" + ], "outputs": [ { "output_type": "stream", @@ -332,33 +344,15 @@ { "output_type": "display_data", "data": { - "image/png": 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\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "lengths = np.arange(1, 1000, 100)\n", - "num_samples = 10\n", - "seed = 1010\n", - "qubits = [0]\n", - "\n", - "# Run an Interleaved RB experiment on qubit 0\n", - "# The interleaved gate is the x gate\n", - "int_exp1 = InterleavedRB(\n", - " circuits.XGate(), qubits, lengths, num_samples=num_samples, seed=seed)\n", - "int_expdata1 = int_exp1.run(backend)\n", - "int_expdata1.block_for_results()\n", - "result = int_expdata1.analysis_results(0)\n", - "# View result data\n", - "print(result)\n", - "display(int_expdata1.figure(0))" - ] + "metadata": {} }, { "cell_type": "markdown", @@ -370,7 +364,23 @@ { "cell_type": "code", "execution_count": 54, - "metadata": {}, + "source": [ + "lengths = np.arange(1, 200, 30)\n", + "num_samples = 10\n", + "seed = 1010\n", + "qubits = [4,6]\n", + "\n", + "# Run an Interleaved RB experiment on qubits 4, 6\n", + "# The interleaved gate is the cx gate\n", + "int_exp2 = InterleavedRB(\n", + " circuits.CXGate(), qubits, lengths, num_samples=num_samples, seed=seed)\n", + "int_expdata2 = int_exp2.run(backend)\n", + "int_expdata2.block_for_results()\n", + "result = int_expdata2.analysis_results(0)\n", + "# View result data\n", + "print(result)\n", + "display(int_expdata2.figure(0))" + ], "outputs": [ { "output_type": "stream", @@ -393,33 +403,15 @@ { "output_type": "display_data", "data": { - "image/png": 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\n", 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" + "image/png": 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "lengths = np.arange(1, 200, 30)\n", - "num_samples = 10\n", - "seed = 1010\n", - "qubits = [4,6]\n", - "\n", - "# Run an Interleaved RB experiment on qubits 4, 6\n", - "# The interleaved gate is the cx gate\n", - "int_exp2 = InterleavedRB(\n", - " circuits.CXGate(), qubits, lengths, num_samples=num_samples, seed=seed)\n", - "int_expdata2 = int_exp2.run(backend)\n", - "int_expdata2.block_for_results()\n", - "result = int_expdata2.analysis_results(0)\n", - "# View result data\n", - "print(result)\n", - "display(int_expdata2.figure(0))" - ] + "metadata": {} }, { "cell_type": "markdown", @@ -433,9 +425,23 @@ { "cell_type": "code", "execution_count": 55, - "metadata": { - "scrolled": false - }, + "source": [ + "lengths = np.arange(1, 1000, 100)\n", + "num_samples = 10\n", + "seed = 1010\n", + "qubits = range(5)\n", + "\n", + "# Run a parallel 1-qubit RB experiment on qubits 0, 1, 2, 3, 4\n", + "exps = [StandardRB([i], lengths, num_samples=num_samples, seed=seed + i)\n", + " for i in qubits]\n", + "\n", + "par_exp = ParallelExperiment(exps)\n", + "par_expdata = par_exp.run(backend)\n", + "par_expdata.block_for_results()\n", + "result = par_expdata.analysis_results(0)\n", + "# View result data\n", + "print(result)" + ], "outputs": [ { "output_type": "stream", @@ -456,41 +462,32 @@ ] } ], - "source": [ - "lengths = np.arange(1, 1000, 100)\n", - "num_samples = 10\n", - "seed = 1010\n", - "qubits = range(5)\n", - "\n", - "# Run a parallel 1-qubit RB experiment on qubits 0, 1, 2, 3, 4\n", - "exps = [StandardRB([i], lengths, num_samples=num_samples, seed=seed + i)\n", - " for i in qubits]\n", - "\n", - "par_exp = ParallelExperiment(exps)\n", - "par_expdata = par_exp.run(backend)\n", - "par_expdata.block_for_results()\n", - "result = par_expdata.analysis_results(0)\n", - "# View result data\n", - "print(result)" - ] + "metadata": { + "scrolled": false + } }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Viewing sub experiment data\n", "\n", "The experiment data returned from a batched experiment also contains individual experiment data for each sub experiment which can be accessed using `experiment_data(index)`" - ] + ], + "metadata": {} }, { "cell_type": "code", "execution_count": 56, - "metadata": {}, + "source": [ + "# Print sub-experiment data\n", + "for i in range(par_exp.num_experiments):\n", + " print(par_expdata.component_experiment_data(i).analysis_results(0), '\\n')\n", + " display(par_expdata.component_experiment_data(i).figure(0))" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -509,18 +506,16 @@ { "output_type": "display_data", "data": { - "image/png": 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\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -539,18 +534,16 @@ { "output_type": "display_data", "data": { - "image/png": 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\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -567,19 +560,18 @@ ] }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "\n", "Analysis Result: StandardRB\n", @@ -596,15 +588,14 @@ ] }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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" 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { "output_type": "stream", @@ -625,22 +616,17 @@ ] }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "# Print sub-experiment data\n", - "for i in range(par_exp.num_experiments):\n", - " print(par_expdata.component_experiment_data(i).analysis_results(0), '\\n')\n", - " display(par_expdata.component_experiment_data(i).figure(0))" - ] + "metadata": {} }, { "cell_type": "markdown", @@ -694,4 +680,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file