From 64ef0386d5b213e4a4c4ada3f6f254c1473604bc Mon Sep 17 00:00:00 2001 From: steffen-illium Date: Sat, 12 Jun 2021 11:57:56 +0200 Subject: [PATCH] paper preperations and notebooks, optuna callbacks, new plots --- datasets/urban_8k.py | 136 +++++++++++++++ datasets/urban_8k_datamodule.py | 62 +++++++ main.py | 14 +- multi_run.py | 50 +++--- notebooks/Dataset Analysis.ipynb | 282 ++++-------------------------- notebooks/Study Plots.ipynb | 25 ++- notebooks/Train Eval.ipynb | 1 + notebooks/best_scores.ipynb | 288 +++++++++++++++++++++++++++++++ optuna_tune.py | 165 +++++++++++------- 9 files changed, 674 insertions(+), 349 deletions(-) create mode 100644 datasets/urban_8k.py create mode 100644 datasets/urban_8k_datamodule.py create mode 100644 notebooks/best_scores.ipynb diff --git a/datasets/urban_8k.py b/datasets/urban_8k.py new file mode 100644 index 0000000..560495f --- /dev/null +++ b/datasets/urban_8k.py @@ -0,0 +1,136 @@ +from pathlib import Path + +import multiprocessing as mp +import torch +from torch.utils.data import ConcatDataset +from torchvision.transforms import RandomApply, ToTensor, Compose + +from ml_lib.audio_toolset.audio_io import NormalizeLocal +from ml_lib.audio_toolset.audio_to_mel_dataset import LibrosaAudioToMelDataset +from ml_lib.audio_toolset.mel_augmentation import NoiseInjection, LoudnessManipulator, ShiftTime, MaskAug +from ml_lib.utils._basedatamodule import _BaseDataModule, DATA_OPTION_devel, DATA_OPTION_train, DATA_OPTION_test + +data_options = [DATA_OPTION_test, DATA_OPTION_train, DATA_OPTION_devel] + +try: + torch.multiprocessing.set_sharing_strategy('file_system') +except AttributeError: + pass + + +class UrbanSound8K(_BaseDataModule): + + _class_names = ['air_conditioner', 'car_horn', 'children_playing', 'dog_bark', 'drilling', + 'engine_idling', 'gun_shot', 'jackhammer', 'siren', 'street_music'] + + @property + def class_names(self): + return {key: val for val, key in enumerate(self._class_names)} + + @property + def n_classes(self): + return len(self.class_names) + + @property + def sample_shape(self): + return self[0][1].shape + + # Data Structures + @property + def mel_folder(self): + return self.data_root / 'mel' + + @property + def wav_folder(self): + return self.data_root / self._wav_folder_name + + @property + def _container_ext(self): + return '.mel' + + def __init__(self, data_root, num_worker, sr, n_mels, n_fft, hop_length, sampler=None, + random_apply_chance=0.5, target_mel_length_in_seconds=1, fold=1, setting=DATA_OPTION_train, + loudness_ratio=0.3, shift_ratio=0.3, noise_ratio=0.3, mask_ratio=0.3, rebuild=False): + assert isinstance(setting, str), f'Setting has to be a string, but was: {type(setting)}.' + assert fold in range(1, 11) if isinstance(fold, int) else all([f in range(1, 11) for f in fold]) + super(UrbanSound8K, self).__init__() + self.num_worker = num_worker or 1 + self.sampler = sampler + + # Dataset Paramters + self.fold = fold if isinstance(fold, list) else [fold] + + # Dataset Parameters + self.data_root = Path(data_root) / self.__class__.__name__ + self._wav_folder_name = 'audio' + + self.mel_length_in_seconds = target_mel_length_in_seconds + + # Mel Transforms - will be pushed with all other paramters by self.__dict__ to subdataset-class + self.mel_kwargs = dict(sr=sr, n_mels=n_mels, n_fft=n_fft, hop_length=hop_length) + + target_frames = self.mel_length_in_seconds * self.mel_kwargs['sr'] + self.sample_segment_length = target_frames // self.mel_kwargs['hop_length'] + 1 + + # Utility + self.utility_transforms = Compose([ + NormalizeLocal(), + ToTensor() + ]) + + # Data Augmentations + self.random_apply_chance = random_apply_chance + self.mel_augmentations = Compose([ + RandomApply([NoiseInjection(noise_ratio)], p=random_apply_chance), + RandomApply([LoudnessManipulator(loudness_ratio)], p=random_apply_chance), + RandomApply([ShiftTime(shift_ratio)], p=random_apply_chance), + RandomApply([MaskAug(mask_ratio)], p=random_apply_chance), + self.utility_transforms]) + + # Find all raw files and turn generator to persistent list: + self._wav_files = list(self.wav_folder.rglob('*.wav')) + + # Build the Dataset + self._dataset = self._build_dataset(rebuild) + + def _build_subdataset(self, row, build=False): + slice_file_name, fs_id, start, end, salience, fold, class_id, class_name = row.strip().split(',') + fold, class_id = (int(x) for x in (fold, class_id)) + if int(fold) in self.fold: + audio_file_path = self.wav_folder / f'fold{fold}' / slice_file_name + kwargs = dict(sample_segment_len=self.sample_segment_length, + sample_hop_len=self.sample_segment_length // 2) + mel_dataset = LibrosaAudioToMelDataset(audio_file_path, class_id, mel_kwargs=self.mel_kwargs, **kwargs) + if build: + assert mel_dataset.build_mel() + return mel_dataset, class_id, slice_file_name + else: + return None + + def _build_dataset(self, build=False): + dataset = list() + with open(Path(self.data_root) / 'metadata' / 'UrbanSound8K.csv', mode='r') as f: + # Exclude the header + _ = next(f) + all_rows = list(f) + chunksize = len(all_rows) // max(self.num_worker, 1) + with mp.Pool(processes=self.num_worker) as pool: + from itertools import repeat + results = pool.starmap_async(self._build_subdataset, + zip(all_rows, + repeat(build, len(all_rows)) + ), + chunksize=chunksize) + for sub_dataset in results.get(): + if sub_dataset is not None: + if sub_dataset[0] is not None: + dataset.append(sub_dataset[0]) + return ConcatDataset(dataset) + + def __len__(self): + return len(self._dataset) + + def __getitem__(self, item): + file_path, transformed_samples, label = self._dataset[item] + label = torch.as_tensor(label, dtype=torch.int) + return file_path, transformed_samples, label diff --git a/datasets/urban_8k_datamodule.py b/datasets/urban_8k_datamodule.py new file mode 100644 index 0000000..026ba63 --- /dev/null +++ b/datasets/urban_8k_datamodule.py @@ -0,0 +1,62 @@ +from copy import deepcopy +from pathlib import Path + +from torch.utils.data import DataLoader + +from datasets.urban_8k import UrbanSound8K +from ml_lib.utils._basedatamodule import _BaseDataModule, DATA_OPTION_train, DATA_OPTION_devel +from ml_lib.utils.tools import add_argparse_args + + +class Urban8KLibrosaDatamodule(_BaseDataModule): + + def __init__(self, batch_size, num_worker, data_root, sr, n_mels, n_fft, hop_length, + sampler=None, val_fold=9, + random_apply_chance=0.5, target_mel_length_in_seconds=1, + loudness_ratio=0.3, shift_ratio=0.3, noise_ratio=0.3, mask_ratio=0.3, **kwargs): + super(Urban8KLibrosaDatamodule, self).__init__() + self.batch_size = batch_size + self.num_worker = num_worker + + self.val_fold = val_fold + + self.kwargs = kwargs + self.kwargs.update(data_root=data_root, num_worker=num_worker, + sr=sr, n_mels=n_mels, n_fft=n_fft, hop_length=hop_length, sampler=sampler, + random_apply_chance=random_apply_chance, + target_mel_length_in_seconds=target_mel_length_in_seconds, + loudness_ratio=loudness_ratio, shift_ratio=shift_ratio, noise_ratio=noise_ratio, + mask_ratio=mask_ratio) + + @classmethod + def add_argparse_args(cls, parent_parser): + return add_argparse_args(UrbanSound8K, parent_parser) + + @classmethod + def from_argparse_args(cls, args, **kwargs): + val_fold = kwargs.get('val_fold', 10) + kwargs.update(val_fold=val_fold) + return super(Urban8KLibrosaDatamodule, cls).from_argparse_args(args, **kwargs) + + def train_dataloader(self): + return DataLoader(dataset=self.datasets[DATA_OPTION_train], shuffle=True, + batch_size=self.batch_size, pin_memory=True, + num_workers=self.num_worker) + + # Validation Dataloader + def val_dataloader(self): + return DataLoader(dataset=self.datasets[DATA_OPTION_devel], shuffle=False, pin_memory=True, + batch_size=self.batch_size, num_workers=self.num_worker) + + def prepare_data(self, stag=None): + # Train Datasset + self.datasets[DATA_OPTION_train] = UrbanSound8K(fold=[x for x in list(range(1, 11)) if x != self.val_fold], + **self.kwargs) + # Devel Datasset + self.datasets[DATA_OPTION_devel] = UrbanSound8K(fold=self.val_fold, **self.kwargs) + + def manual_setup(self): + UrbanSound8K(fold=[x for x in list(range(1, 11))], rebuild=True, **self.kwargs) + + + diff --git a/main.py b/main.py index 5429f19..94d816b 100644 --- a/main.py +++ b/main.py @@ -8,7 +8,7 @@ from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint from ml_lib.utils.callbacks import BestScoresCallback from ml_lib.utils.config import parse_comandline_args_add_defaults -from ml_lib.utils.loggers import Logger +from ml_lib.utils.loggers import LightningLogger import variables as v from ml_lib.utils.tools import fix_all_random_seeds @@ -21,7 +21,7 @@ def run_lightning_loop(h_params :Namespace, data_class, model_class, seed=69, ad fix_all_random_seeds(seed) - with Logger.from_argparse_args(h_params) as logger: + with LightningLogger.from_argparse_args(h_params) as logger: # Callbacks # ============================================================================= # Checkpoint Saving @@ -53,12 +53,18 @@ def run_lightning_loop(h_params :Namespace, data_class, model_class, seed=69, ad # START # ============================================================================= - # Let Datamodule pull what it wants + # Let Datamodule pull what it wants and init datamodule = data_class.from_argparse_args(h_params) # Final h_params Setup: h_params = vars(h_params) - h_params.update(in_shape=datamodule.shape, n_classes=datamodule.n_classes) + try: + h_params.update(in_shape=datamodule.shape, n_classes=datamodule.n_classes) + except KeyError: + datamodule.manual_setup() + datamodule.prepare_data() + h_params.update(in_shape=datamodule.shape, n_classes=datamodule.n_classes) + h_params = Namespace(**h_params) # Let Trainer pull what it wants and add callbacks diff --git a/multi_run.py b/multi_run.py index baf2fd9..5484a1f 100644 --- a/multi_run.py +++ b/multi_run.py @@ -10,20 +10,20 @@ import itertools if __name__ == '__main__': # Set new values - hparams_dict = dict(seed=range(1, 6), + hparams_dict = dict(seed=range(13, 20), # BandwiseConvClassifier, CNNBaseline, VisualTransformer, VerticalVisualTransformer - model_name=['VisualTransformer'], + model_name=['BandwiseConvClassifier'], # CCSLibrosaDatamodule, PrimatesLibrosaDatamodule, data_name=['PrimatesLibrosaDatamodule'], - batch_size=[30], - max_epochs=[150], - target_mel_length_in_seconds=[0.5], - outpath=['head_exp'], + batch_size=[20], + max_epochs=[200], + target_mel_length_in_seconds=[0.4], + outpath=['optuna_found_param_run'], - dropout=[0.2], # trial.suggest_float('dropout', 0.0, 0.3, step=0.05), + dropout=[0.0], # trial.suggest_float('dropout', 0.0, 0.3, step=0.05), - scheduler=['LambdaLR'], # trial.suggest_categorical('scheduler', [None, 'LambdaLR']), - lr_scheduler_parameter=[0.95], # [0.95], + scheduler=[None], # trial.suggest_categorical('scheduler', [None, 'LambdaLR']), + lr_scheduler_parameter=[None], # [0.95], loss=['ce_loss'], sampler=['WeightedRandomSampler'], @@ -32,29 +32,29 @@ if __name__ == '__main__': ) # Data Aug Parameters - hparams_dict.update(random_apply_chance=[0.3], # trial.suggest_float('random_apply_chance', 0.1, 0.5, step=0.1), - loudness_ratio=[0], # trial.suggest_float('loudness_ratio', 0.0, 0.5, step=0.1), - shift_ratio=[0.2], # trial.suggest_float('shift_ratio', 0.0, 0.5, step=0.1), + hparams_dict.update(random_apply_chance=[0.1], # trial.suggest_float('random_apply_chance', 0.1, 0.5, step=0.1), + loudness_ratio=[0.2], # trial.suggest_float('loudness_ratio', 0.0, 0.5, step=0.1), + shift_ratio=[0.3], # trial.suggest_float('shift_ratio', 0.0, 0.5, step=0.1), noise_ratio=[0.4], # trial.suggest_float('noise_ratio', 0.0, 0.5, step=0.1), - mask_ratio=[0.2], # triaSl.suggest_float('mask_ratio', 0.0, 0.5, step=0.1),) + mask_ratio=[0.3], # triaSl.suggest_float('mask_ratio', 0.0, 0.5, step=0.1),) ) - if False: + if True: # CNN Parameters: - hparams_dict.update(filters=[[16, 32, 64, 32]], - lr=[1e-3], # trial.suggest_uniform('lr', 1e-3, 3e-3), + hparams_dict.update(filters=[[6, 6, 6]], + lr=[0.0003414550170649836], # trial.suggest_uniform('lr', 1e-3, 3e-3), variable_length=[False], # THIS does not Work - lat_dim=[64], # 2 ** trial.suggest_int('lat_dim', 1, 5, step=1), + lat_dim=[2 ** 3], # 2 ** trial.suggest_int('lat_dim', 1, 5, step=1), ) else: # Transfornmer Parameters: - hparams_dict.update(lr=[1e-3], # trial.suggest_uniform('lr', 1e-3, 3e-3), - lat_dim=[32], # 2 ** trial.suggest_int('lat_dim', 1, 5, step=1), - mlp_dim=[16], - head_dim=[6], # 2 ** trial.suggest_int('head_dim', 1, 5, step=1), - patch_size=[12], # trial.suggest_int('patch_size', 6, 12, step=3), - attn_depth=[14], # trial.suggest_int('attn_depth', 2, 14, step=4), - heads=[2,4,6,8,10], # trial.suggest_int('heads', 2, 16, step=2), - embedding_size=[30], # trial.suggest_int('embedding_size', 12, 64, step=12), + hparams_dict.update(lr=[0.0008292481039683588], # trial.suggest_uniform('lr', 1e-3, 3e-3), + lat_dim=[2**4], # 2 ** trial.suggest_int('lat_dim', 1, 5, step=1), + mlp_dim=[2**4], + head_dim=[2**4], # 2 ** trial.suggest_int('head_dim', 1, 5, step=1), + patch_size=[6], # trial.suggest_int('patch_size', 6, 12, step=3), + attn_depth=[10], # trial.suggest_int('attn_depth', 2, 14, step=4), + heads=[16], # trial.suggest_int('heads', 2, 16, step=2), + embedding_size=[60], # trial.suggest_int('embedding_size', 12, 64, step=12), variable_length=[False], # THIS does not Work ) diff --git a/notebooks/Dataset Analysis.ipynb b/notebooks/Dataset Analysis.ipynb index 301383c..f81de90 100644 --- a/notebooks/Dataset Analysis.ipynb +++ b/notebooks/Dataset Analysis.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 2, "id": "ongoing-darkness", "metadata": { "pycharm": { @@ -71,7 +71,24 @@ { "cell_type": "code", "execution_count": 4, - "outputs": [], + "outputs": [ + { + "ename": "KeyboardInterrupt", + 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11.640s\n", - "----------------------######################-----------------\n", - "\n", - "For ComParE2021_CCS_devel; statistics are:\n", - "Mean duration: 6.096s\tstd: 2.262s min: 2.040s\t max: 16.115s\n", - "For positive; statistics are:\n", - "Mean duration: 6.429s\tstd: 2.186s min: 2.159s\t max: 11.760s\n", - "For negative; statistics are:\n", - "Mean duration: 6.009s\tstd: 2.274s min: 2.040s\t max: 16.115s\n", - "----------------------######################-----------------\n", - "\n", - "For ComParE2021_CCS_test; statistics are:\n", - "Mean duration: 6.441s\tstd: 2.340s min: 1.560s\t max: 16.161s\n", - "For ?; statistics are:\n", - "Mean duration: 6.441s\tstd: 2.340s min: 1.560s\t max: 16.161s\n", - "----------------------######################-----------------\n", - "\n", - "For primates_train; statistics are:\n", - "Mean duration: 0.692s\tstd: 0.595s min: 0.145s\t max: 2.955s\n", - "For chimpanze; statistics are:\n", - "Mean duration: 0.805s\tstd: 0.676s min: 0.148s\t max: 2.955s\n", - "For background; statistics are:\n", - "Mean duration: 0.693s\tstd: 0.594s min: 0.145s\t max: 2.943s\n", - "For geunon; statistics are:\n", - "Mean duration: 0.319s\tstd: 0.214s min: 0.146s\t max: 1.714s\n", - "For mandrille; statistics are:\n", - "Mean duration: 0.453s\tstd: 0.233s min: 0.146s\t max: 2.367s\n", - "For redcap; statistics are:\n", - "Mean duration: 0.758s\tstd: 0.518s min: 0.148s\t max: 2.857s\n", - "----------------------######################-----------------\n", - "\n", - "For primates_devel; statistics are:\n", - "Mean duration: 0.698s\tstd: 0.601s min: 0.145s\t max: 2.991s\n", - "For chimpanze; statistics are:\n", - "Mean duration: 0.813s\tstd: 0.680s min: 0.145s\t max: 2.991s\n", - "For redcap; statistics are:\n", - "Mean duration: 0.767s\tstd: 0.536s min: 0.148s\t max: 2.662s\n", - "For background; statistics are:\n", - "Mean duration: 0.700s\tstd: 0.604s min: 0.146s\t max: 2.955s\n", - "For mandrille; statistics are:\n", - "Mean duration: 0.449s\tstd: 0.218s min: 0.148s\t max: 2.250s\n", - "For geunon; statistics are:\n", - "Mean duration: 0.319s\tstd: 0.239s min: 0.146s\t max: 2.006s\n", - "----------------------######################-----------------\n", - "\n", - "For primates_test; statistics are:\n", - "Mean duration: 0.706s\tstd: 0.607s min: 0.146s\t max: 2.991s\n", - "For ?; statistics are:\n", - "Mean duration: 0.706s\tstd: 0.607s min: 0.146s\t max: 2.991s\n", - "----------------------######################-----------------\n", - "\n" - ] - } - ], + "execution_count": null, + "outputs": [], "source": [ "for data_option in data.keys():\n", " # For all files in data_option\n", @@ -180,13 +134,14 @@ "metadata": { "collapsed": false, "pycharm": { - "name": "#%%\n" + "name": "#%%\n", + "is_executing": true } } }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "outputs": [], "source": [ "plt.style.use('default')\n", @@ -212,47 +167,15 @@ "metadata": { "collapsed": false, "pycharm": { - "name": "#%% Seaborn Settings\n" + "name": "#%% Seaborn Settings\n", + "is_executing": true } } }, { "cell_type": "code", - "execution_count": 23, - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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\n" 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\n" 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\n" 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\n" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "outputs": [], "source": [ "for root in roots:\n", " for data_option in ['train', 'devel']:\n", @@ -279,97 +202,15 @@ "metadata": { "collapsed": false, "pycharm": { - "name": "#%% Histogram plotting for durations\n" + "name": "#%% Histogram plotting for durations\n", + "is_executing": true } } }, { "cell_type": "code", - "execution_count": 25, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " durations\n", - "labels \n", - "negative 215\n", - "positive 71\n", - " durations\n", - "labels \n", - "negative 183\n", - "positive 48\n", - " durations\n", - "labels \n", - "? 208\n", - " durations\n", - "labels \n", - "background 3458\n", - "chimpanze 2217\n", - "geunon 158\n", - "mandrille 874\n", - "redcap 208\n", - " durations\n", - "labels \n", - "background 3459\n", - "chimpanze 2217\n", - "geunon 159\n", - "mandrille 874\n", - "redcap 209\n", - " durations\n", - "labels \n", - "? 6923\n" - ] - }, - { - "data": { - "text/plain": "
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\n" 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "outputs": [], "source": [ "for data_option in data.keys():\n", " title = 'counts per class'\n", @@ -398,63 +239,15 @@ "metadata": { "collapsed": false, "pycharm": { - "name": "#%% Histogram plotting for class Count\n" + "name": "#%% Histogram plotting for class Count\n", + "is_executing": true } } }, { "cell_type": "code", - "execution_count": 27, - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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\n" 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\n" 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\n" 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s8wKwMY7LlwBXWJYBcKhLkjIhktGgf4RNj/5josOY0eGPfJkMU2rM4zidThoaGkKf19XVUVFRQVNTU+g1PUnSf456PB6KiopobW0N/Sx0uVzU1NTQ2toaus9ut1NfXz9pYmaxWCgvL2fHjh1hyV1jYyNOp5OWlpbQsxsaGmhqaqK4uBibzcbu3bvJy8ujsbGR7du3Y7fbQ9e7XC4cDkdY/I2NjVRVVdHQ0EBxcTFNTU1hCa3FYqGhoWHCz/zi4mJaWlpQFAWn04nD4cBisVBZWUleXh5lZWVhEzRut5uqqipaWlpCOYbH48HtdrN169YI/0biL6l2X6qqiqqqkyZRFotl2p0gk82GOZ3OGWvRxMLW1tNJQNPISU1jSXpWXMe+Im85AIdlpkwIkQRqamrCPt++fTsulwuXyxX2+vjPbTbbhJ+fNTU12O32Cffos2+XqqurY+fOnRNm25xOZ9hESXl5eWgc/ef4pUuYDocDp9M5ZRyVlZW4XC4aGxtDr022DDrV0qjFYgl96EpLS0MzZrqqqirsdnvYdTabLeGTOEk1U6ZPN07GarXS2dkZ8Vh2u33S6UqxuHh6gkuXtpwlcVkeGG/TWI3a6X6V3uEhslPT4jq+ECI26SkmDn/ky4kOY0bpKaa4jDPZ8lpxcTENDQ2h5Ki6ujo0GaGqaujnqtcbXFHweDx4PB5KS0vDxtFnry5VVVVFWVlZzPVhky2fThYHBJO7xx57LOrSo7KysrDPL419qj+Dya6db0mVlM1kqiz+Uh6PJ+IiQ5/Ph8/nC33e09MTZXQiEU70Bv9Hsz4nP+5jW8wZLMvI4fxAD4fVdkqWro37M4QQ0VMUJS7LgguZ1WqdMKHR2NhIbW0tpaWl1NTUhCVz+rWR/Hysra2lrKwMu90+odYbggmbPusFF0uMJhv70oSyubl52jimm6SJ1Wz+DOZbUiVl0/0B6Vl+JBwOx6Q1ZpOpra3lS1/6UsRji+SiJ2Vrs+amp84VlmWcH+jhkHpOkjIhRNLxer1hMz51dXU4nU6ampomXYrTX/N4PDMu1ek1ZE1NTWzbti2sng2CM1otLS3Y7XaKiopoaWmZcM1U9GdPNYEyU2yRTtLM9Oxkk1Q1ZXomPdkf1Gy21+7atWvCVOlUduzYQXd3d+jj5MmTkYYrkkAoKcuem10zV+RJsb8QIjlMNjmhF6zr7HY7TqczLKnR79OXM20226Q12pfWpuk/cxsaGmhsbJzwfmNjIw6HI9Q1wel0RvxzWp9Ru3RMPY6ZJlZimUnTa8f02bpkklRJmV6cN9WsWCSzX5cWGc7EbDaTk5MT9iEWjuNznJRtGtuBKcX+QohEG79LEYIJWGVl5YSuBOMnNvQkTFVVvF4vVqsVp9NJbW3thOumYrFY2L59e1jyp5uqP2gkdu7cSW1t7YTxSktLwzbplZaWhsWnJ5SRznTpmwjH03dojudyufB4PLOqX4+3pFq+BNiyZUvYNl24+M0yVTuMya4Vi99oIMCpvi4A1mXHv6YMZKZMCJEctm/fzo4dO8L6lOXn509ILJqamnA6nXg8HoqLi7FarTQ0NIR2Oeo9wHbv3h1adtR3aOq7J8fvjqypqQntiFRVlZKSEnbs2EFlZSXV1dUUFhaG7aC02WxUVlbicDjCxtq2bRvl5eVh8VZWVmKz2UJx6InTpcmn0+kMtezQn1FcXMyuXbvwer00NDSE+q6pqkptbS1er5ctW7ZQW1tLc3NzaFZMj0fvt2a32ykrK8Pr9YZm0Orr61FVNaxebr4o2mQdVxPI4/FQUVExoX9KUVFR2I6SqqoqHA7HhGVKvft/tF9WT08Pubm5dHd3y6xZkjvV18UtDQ5MBiNHH/oXjIb4T/z2jfjY/Og/AfDaB/+BvLTMuD9DCDG1oaEh2traKCwsJC1NdkAni8l+DuvLo3a7HZvNlpCkZr5E+n0525wi6WbK9ENB9ezV4/GQn58fNpXp9Xppbm6edJlTz/rF4qfXk63OypuThAwgy2RmdZaFU30qh9Tz3LJcvreEEEKv3R4/MWKxWCguLsbpdEa82U6ES7qkDJjwF30pm81GV1fXpO+N79EiFre5LvLXbbIs41SfymG1XZIyIYQguPw31UxYY2OjHG8YpaRMyoSIhJ6UrZuHpOypU4ekrkwIIcaMX9XSz60EaG1tpaysbMazqsXkJCkTC9bxPr1H2dwmZRvHOvu3dl+Y0+cIIcRCYrPZ5OScOEuqlhhCzIY+U7Yme24ax+o25C4B4Gh3+5w+RwghxOVNkjKxYM3X8qVtLCk7N9BD34hvhquFEEKI6EhSJhakvhEfnUP9AKydox5lujxzBgVpWQB4ZAlTCCHEHJGkTCxI+iyZxZxBTurc9y4qCi1hSlImhBBibkhSJhak+Vq61Ol1ZVLsL4QQYq5IUiYWpFCPsjneeanbYJGZMiGEEHNLkjKxIJ0cO/Nyddbc7rzUFeUG22IcVWUHphBCiLkhSZlYkM70qwCszrLMy/OKcgsAaOvpYDQQmJdnCiGEuLxIUiYWpNN9KgCr5ikpW52Zh9mYwnBgNDRLJ4QQQsSTJGViQTrT3w3AyszceXme0WCgMCc4WybF/kIIIeaCJGViwRn0D+P1BXuUrcy0zNtzpbO/ECLZuN1uKioqyMvLw+VyzXi9y+UiLy8Pj8czD9GJ2ZKzL8WCc3ZsliwzJZXc1PR5e670KhNCJJvi4mKamppQFCWi661WKzabDat1fnaui9mRpEwsOKfHivxXZloi/h9RPGzIlYPJhRDJyWKxRHRdcXExLS0tcxuMiJosX4oFRy/yXzlPRf4629gOTE93x7w+VwghxOVBZsrEgqMX+a+ax3oyIFTo3zHUR+/wENnzcLyTEGJqmqahDQ8kOowZKakZMc/qu91unE4nJSUlqKqKxWKhurp6wnX19fUAtLa2AuBwOELveTweampqaG5upqGhgfLyctxuN9u2bcPj8bB79+5QrVlTUxMATqcTl8uFx+NBVVX27NnDzp07QzNzLpcLu92O2+2mqakJt9sder7FYgl7/qUxArS0tFBTU0NxcXHo65wsnj179kz4egAURaG6upqSkhIAVFXFbrfT0NBAZWVlKEa3243FYpnwvGQjSZlYcC4uX87PzktdTmoaBWlZdAz10dbTwXUFq+f1+UKIcNrwAEdrchIdxow2OHtQzJlR3+9yuaipqQklWgB2u536+vqwxKyhoQGHwxFKmPLy8igrKwslJzabbUL9mb6cqSgKTqczdH9lZSV5eXlYLBa2bt1KeXk5AFVVVdjtdpxOJwDl5eXs3r2bvLw8nE4nDQ0NobFramqoqKgIJXgQTMhaW1tDyZXH46GoqIjW1lZsNtuM8Yz/elRVZfv27WGJWkVFBeXl5aFrGhsbqa2tDVuyzcvLo6WlBZvNFvXfyVyR5Uux4OiNY+d7pgygMCcfgLaeznl/thDi8lRTU4Pdbg97zeVyoapq2GsWiyWstqy0tDQ0w3TpdZO9Ntn9LpcrbFaprKyM5ubmScerqakJe93hcOByuWhsbJwQu85ms2GxWEIzbDPFM/7r8Xq9VFRUhD6vr6/H5XKFJYbbtm1jx44dYWNv2bJl0hm8ZCAzZWLBCfUom+eaMgguYe5pP05bj9SVCZFoSmoGG5w9iQ5jRkpqRtT3ejwePB4PpaWlYa9PVqxfVlYW9nmkxf/T3X/pbNJ0Y166o1O/v6mpKTRzVV1dHZrdU1U1tDzp9XojiufS5+nP1JctnU5n6Dq3242qqhOWKktKSkIzfclGkjKxoGiadrGbf0JmysaK/SUpEyLhFEWJaVlwIdCTltkmWPES63NtNtuEnmj6kmJpaSk1NTVRt+cYH1tVVRWlpaVhy7n6jJ7L5Qp7htVqlZkyIeKhyzfA0OgIACvmuaYMxi9fSlImhJh7+kyVx+NJyhqomXg8nlA9GkBdXR1Op5Ompqa4fT36smVX18Uj8BobG0Pjl5eXL5g/O6kpEwuKXk+2JD0Ls3H+f6ewhQ4ml5oyIcTcs9ls2Gy2CTVXQEQd/OfTpUuQ+vJkVVVV6DV9iXF8kqTfp6rqrL8mVVWpqakJW7aEi8ngZPVqkHx/djpJysSCEupRloClS4D12cGkTPUN0OVL/q34QoiFz+l0UltbG1bYH8kxSaqqTtgMMP69aO6fbszxBfYQLLKvrKwMmym79Nn6DKCqqni93mmXMid7dlVVFeXl5WHLlvX19aGkb+fOnRM2SejtPZKRLF+KBSVR7TB0GaZUlmXkcH6gh7aeDvKWrE1IHEKIy4fedsJut1NUVBTasaj3GXM6naiqSm1tLV6vly1btlBbW0tzc3OorsrpdE64FoIzcdPd7/F4sNvtOByO0NKj3u/MbreHzXhVVFSEdlru2bOHsrIytm/fHva1NDU1hcYoLi7GarXS0NAQSpzKy8upqamJ6OtpbGzE5XKxfft26uvrUVWV1tZW6uvrQ204Kisrsdls1NTUhHqZWa3W0MaDZKNomqYlOohk0tPTQ25uLt3d3eTkJH//m8vNV/b8lu+8/hyfuup2/vnmdyUkhsonnLx0ro3/vGMrDxbdmJAYhLhcDA0N0dbWRmFhIWlp0rA5WSmKQktLS9I2ZY23SL8vZ5tTyPKlWFBCPcoS0A5Dp+/AlGJ/IYQQ8SRJmVhQ9B5lKxJUUwbjkjI5A1MIIUIm6zUmZkeSMrGgnNWTsozE1JQB2GSmTAghgOAuRn13pcPhCDvXUsyeFPqLBSOgBTg/EOzevSIjcfV+45cvNU2L+aBhIYRYqMrLyyfsrhTRk5kysWB0DvXj1wIoKCzJyE5YHOuyrSgo9I746BzqT1gcQgghFhdJysSCca4/OEu2JD0Lk8GYsDjSUkyhlhyyhCmEECJeknL50uPx4HA4KCoqAoLnW41vDDfTvU6nk/z8fDo7OykrK0vafiRids4NBOvJlidw6VJXmFPA6X6Vtp4OypatT3Q4QgghFoGkS8o8Hg8lJSW0tbWFjkyw2+3U1dVNaEJ3KZfLhdPpDHUVVlWVe++9V5KyReLcWD1ZciRl+Tx/9qgcTC6EECJuki4pczgcVFdXh51htWPHDvLy8qZNylRVpaqqira2ttBrejdisTjoSdmypEjK5AxMIYQQ8ZV0NWW7du0KLVvq9ARtugNEa2trKS0tDUvmysvLw06NFwtbMi1fXjyYXGbKhBBCxEdSJWX6YaPjz9LSTXXSu66xsZGKigogmLxNd61YmPRC/+UJOvdyPH2m7FhPJ3JSmRBCiHhIqqRsuqVGq9VKZ+fUS0X6vfX19ZSWlgLBw1ElOVs8kqmmbE1WHgZFYcA/zPnB3kSHI4QQYhFIupqy6aiqOunrekLW1NQUOhm+uLgYu93OvffeO+0Sps/nw+fzhT7v6emJX8Airi4uXyZ+pizVmMKarDyO93pp6+lIikRRCCHEwpZUM2Xj68EuFcmZWpeeTl9eXo6qqtMe+1BbW0tubm7oY82aNRHHK+bPoH+Y7uEhIDlmygDWy3FLQggh4iipkjKr1QpMPiOmquqUSZt+36UbBHQtLS1TPnPHjh10d3eHPk6ePDm7oMW8ODtWT5aeYiInNS3B0QQV5uQD4JGDyYUQQsRBUi1fWiwWLBbLlLNieiH/VPdNtbw5VbIGYDabMZvNs45VzK/zg3o9WW7SnDUpB5MLIYSIp6SaKQPYsmULra2tYa/pNWPTHXq6ZcsW9uzZE/aanqTJYakLX2jnZZIsXUL4DkwhhEiEqSYjxMKUVDNlEOzeX1FRgcPhCL3mdDpxOp2hz/VGsQ6HI1RH5nA4KCkpwePxhFpq2O12KisrJ9SaiYUnmXqU6UJJWW8nAS2AQUm633GEEItEfX09ra2t5Ofn09raSklJCVarldra2lCJjt4OymKx0NLSQk1NDcXFxbjdbux2O83NzezcuZPKykpUVWXbtm24XC6qq6tDP3Pdbjfbtm3D4/Gwe/fu0KSIPukx/mezzu1289hjj4VWpVRVDTV7j2a8y1nSJWU2m42GhgbsdjtlZWV4PB7y8/PDzr70er00NzeHLXPq34R2uz1Ue1ZUVBSWzImF62I7jMTvvNStzrKQohjwjfo529/DqixLokMS4rKiaRojw6OJDmNGplRjTGUXjY2NOJ3OUPJVX19PQ0MDTU1NoUmHxsbGsAQNIC8vj5aWFoqLi2lqagqLwWKx0NDQMKEsqLi4mJaWFhRFwel04nA4sFgsVFZWkpeXN+E8aZfLhcPhCHU+0GOpqqqioaFh1uNd7pIuKYPgN8V0s1s2m23SNhcWi0WSsEUqlJRlJs9MWYrByNpsK56eDtp6OiQpE2KejQyP8sXP/y7RYczoKw/fT6o5+h+3TqczrAynvLycmpqasGbr27ZtY+fOnWH3bdmyBYfDEfq5ONlmuak20Om12uPfLy0tZc+ePWFJVE1NzYSfu5WVlWzbto3GxsbQtZGOd7mT9RaxIJzrT77lSxh/BqYU+wshEsPtdqOq6oTJjJKSEpqbm6Met6ysLOzzSxM4t9uNx+MJNWwfr7y8nMcee2xW44kknSkT4lLJuHwJF9tiSFImxPwzpRr5ysP3JzqMGZlSjTHdX1VVFTYb5XK5KC8vDyU1euLlcrlCLaIg2C5qLmu29OdOlVxNd0qPmJwkZSLpBbQA7WNHGa1I2pky2YEpxHxTFCWmZcGFory8PFQzXVRUREtLCw0NDaH39SXM8vLySc+Onk4suzf1Z03VR3S2sQhJysQC4B0aYCQQLOZdkpGd4GjCyfKlEGKuNTY2hgrkJ6PPmrnd7gmJkD6rNhWPxxN1hwL9uS6Xa0JdmL4BQMyO1JSJpNc+1jg2Py0TkyG2ZYB405cvT/R6GQ0EEhyNEGKxmu64QICdO3dit9vDXvN4PGEzYaWlpWFLim63G4h8tkxV1QnX7ty5k9ra2gmxlpaWhnVNiHS8y53MlImkd24guHS5LMmWLgFWZlpINRgZDoxyul9lbbZ15puEEGIWqqurKSwsDEu6bDYblZWVodmoyspKbDYbNTU1lJSUAMGasvEzWE6nE7vdHkrwbDYbxcXF7Nq1C6/XS0NDA263G6fTiaqq1NbW4vV62bJlC7W1tTQ3N4fqyPQaN/25+tKqnmTpLTJmO97lTtE0TUt0EMmkp6eH3Nxcuru7yclJviTgcvSTw3v4uxd+yl2rNvHo2z6R6HAmuPtn/8aR7nb+722f4M5VmxIdjhCLytDQEG1tbRQWFpKWlhzn3s6nyZqlq6qKx+PBbrdjs9kkoUmASL8vZ5tTyPKlSHp6kf+yJKsn013cgSnF/kKI+Nq1a9eE3p0Wi4Xi4mKcTiculyuB0Yl4k6RMJL3zY8uXS9OTc+ZSiv2FEHOlvLx8ysRrfHNWsThITZlIenqh/9L0ZJ0pk6RMCDE3xh89qJ8tCdDa2kpZWVnojEmxOEhSJpLe+SQu9AdZvhRCzC2bzSbtJS4Tsnwpkp4+U5asNWXrx2bKTvZ68QeS/3BkIYQQyUmSMpHUNE2jPVRTlpxJ2YrMHMzGFPxagFN9aqLDEUIIsUBJUiaSmjo8yLDezT9JkzKDYmB9tpyBKYQQIjaSlImkps+S5aamk5ZiSnA0U1svB5MLIYSIkSRlIqmdHwjWky1P0iJ/nRxMLoQQIlaSlImkFmqHkaRF/jppiyGEECJWkpSJpHY+yYv8ddIWQwghRKwkKRNJTT9iKVm7+ev0mbJTfV2MSFsMIYQQUZCkTCS19oHkPvdStzwjh/QUE6NagJO93kSHI4QQYgGSpEwktfOhxrHJPVOmKMq4thiyhCmEEGL2JCkTSW2h1JSBFPsLIS5PHo+Hqqoq8vLyqKuri/g+l8tFXl4eHo8HALfbTUVFBXl5eaFD2Cd7bTGTsy9F0tI0bcHsvgRJyoQQlyf90PTxB6ZHwmq1YrPZsFqtABQXF9PU1ISiKKFrJnttMZOkTCStvhEfg/4RAJYleaE/jG8gK8uXQojLj8VimdX1xcXFtLS0RDTObMdeqGT5UiQtvXFstslMhik1wdHMrFC6+gshhIiBzJSJpHVeb4eR5EX+On358nS/im/Uj9ko/7yEELFxu91s27YNj8fD7t27Q/VXTU1NADidTlwuFx6PB1VV2bNnDzt37pwws1RfXx/675aWFmpqaiguLp72GXv27AHA4XBMiMvj8eBwOCgqKsJisYSWIMdzuVzY7Xbcbjetra00NjayZ88eKioqKC8vp6amhubmZhoaGigvL5/1n43L5cLtdmOxWCZ8TQuV/NQQSevCWFK2JD0rwZFEZml6NpkpqfT7hznZ62WDZWmiQxJiUdM0DW1wJNFhzEhJN0VdE6Uv8SmKgtPpxOFwYLFYqKysJC8vD4vFwtatW0NJTVVVFXa7HafTGRqjvr6e1tbWUHLl8XgoKiqitbUVm8024zPKysqorKwMjed2u6mqqqKlpSWU/Hk8HtxuN1u3bg1dV15ezu7du8nLy6OxsZHt27djt9tpaWmhuro6plqxxsZGamtrw5Y/8/LyaGlpwWazRTVmMpCkTCQtPSlbCPVkMNYWIyefA96ztPV0SFImxBzTBkdoL/3PRIcxo6XNf4WSEVsJhsViCX3oSktLcblcYTNZZWVlPPbYYxPuH79z0WazYbFYcLvdYQnMVM/Ys2dPWFKmJ37jr7PZbJMmQ5fO2F066xZtrdi2bdvYuXNn2GtbtmzB4XCEJaQLjdSUiaTVPtAHLJyZMpCDyYUQc6esrCzsc4vFQmlp6YTXLlVdXR2aUVJVFbfbDYDXO7HR9WTPGM/j8eDxeCY8d6pn6+K5rOh2u1FVdcKYJSUlNDc3x+05iSAzZSJpXVy+TP52GDppiyHE/FHSTSxt/qtEhzEjJd00Z2NHOtOkL/eVlpZSU1MzaQ1YJPR6s9nOcEX7vMnoiZfL5Qob12q1Tlr/tpBIUiaS1oXBhdM4VicHkwsxfxRFiXlZ8HJQV1eH0+mkqakp5nor/X5VVeMQWWwxlJeXL+j6scnI8qVIWqHDyBdA41idzJQJIZKNXvg/PoHRly5VVZ1Vp3y9diyRy4Tl5eWhmrhLLfSu/0mZlHk8Hmpqaqirq6Ouri5sK+90SkpKaGxsRFVVVFUN3S8WpvYFvHx5pr+bIX/y7woTQixc+s+6mV7TX9d5PB5sNhuqquL1eqddWpxsPH2H5nh6W47OztmvEswU72Sv7dy5E7vdHva+3hZkIUu65UuPx0NJSQltbW2hNWu73U5dXR3bt2+f9l59m66uurp6Qe/CuJyNBEbxDg0AC2v5Mj8tk2yTmd4RH8d7vVyRtyzRIQkhFjC3243T6URVVWpra/F6vWzZsoXa2lqam5vxeDzY7XYcDkdomVKf2LDb7dhsNpqamkKvFxcXY7VaaWhoCCU1es+wqZ6hz4rpP0/Ly8tD95eVleH1ekMzaPX19aiqGuqfpt+zbds2ysvLQ8ncpV8XBGfhLv1aS0tLJ7xWXV1NZWUlNpuNmpoaSkpKgGBN2fhdoguRommaluggxqupqcFisYRl4aqqkpeXx0yhjv/LiXatuaenh9zcXLq7u8nJWRitGBajcwM9lD72NYyKAc9Hv4LRkJSTupN64JffYH/nab57z0Pcv+7qRIcjxII2NDREW1sbhYWFpKWlJTocIYDIvy9nm1Mk3U+6Xbt2TTjUVJ8xm2mtuKioiOrqaqqrqxdd8d/l5sJAcOmyIC1zQSVkIHVlQgghopNUP+30teupGtBNVtQ32Rj60Qti4VqI9WQ6OZhcCCFENJIqKdP7n0zGarXOWEDY1NSEy+UKNbWrqKiYMTnz+Xz09PSEfYjEW4g9ynRyMLkQQohoJFVSNpOZdlU4nU4qKyuxWCwUFxdTU1MTVvg/mdraWnJzc0Mfa9asiWPEIloXBoPd/JdmLJxu/jpZvhRCCBGNpErKpusQPNlxEJe6dNmzuLgYj8czbS3ajh076O7uDn2cPHky4njF3FnIy5d6UnZuoIdB/3CCoxFCCLFQJFVSpvdKmao/yXRJm91un7BUqY833bKo2WwmJycn7EMkXvsC7OavyzNnkJsa3I1zrGfmXyaEEEIISLKkTD+dfqpZsYqKiinvraurm9BhWB9HdmIuPAvxiCWdoiislyVMIYQQs5RUSRnAli1baG1tDXtNn+kqLy+f8j6Hw0F1dXXYay6XC4vFMu19Ijm1Dyzc5UuQujIhhBCzF1NSdt9998UrjhC73U5jY2PYa06nM6wzv6qqE3ZWFhcXh92nqioOh4OdO3fGPUYx9xby7kuQHZhCCCFmL6Zjlpqamvje977HJz/5yXjFg81mCzu+wePxkJ+fHzYL5vV6aW5uDlvmLC8vx+VyhY6N8Hg8OJ1OmSVbgPpHfPSPFcgvpMPIx7s4Uya9yoQQQkQm5rMvjx49yuc//3kKCgqorq6OS6F8cXExxcXFU75vs9no6uqa8Hp5ebkkYYuA3g4jPcVEZkpqgqOJjp6UHZOZMiGEEBGKKSlraGjgwQcfBKC7u5vHHnsMj8dDWVkZ73//++MSoLj8jC/yVxQlwdFER1++PD/YS/+Ij0yTOcERCSGESHYxJWV6QgaQm5vLtm3bAGhra+ORRx6hs7OTrVu3csMNN8QUpLi8LOQeZTqLOQOrOROvrx9PdwfXFqxKdEhCCCGSXMzLl5c6duwY9fX1OJ1OVFWlsbGRyspKioqK2LJli/QBEzMKdfNfwEkZQFFuAd72flp7LkhSJoQQYkYx7b7csWNH6L+/+93vUlZWRlFREQ6Hgy1bttDS0sKRI0eora2lqqqKxx57jJ/97GcxBy0Wt/aB4PmjC3mmDKAodwkAR7svJDgSIYQI8ng8VFVVkZeXR11dXaLDEZeIKSlzOp3cd999GI1GqqurycvLY9euXQQCAb7zne9w4403hq7VlzfvvfdeHnnkkZgDF4vXxW7+C+/cy/H0pMwjSZkQIknoHQ70E29Ecolp+VJVVVpbW3n44Yeprq4mNzd3xnsiuUZc3vTlyyULtB2GbsNYUtYqSZkQIslMd2yhSJyYZsqKi4s5evQon/vc58KSrWPHjtHT0zPh+s9//vNs3LiRzk7p3SSmtpCPWBqvKJSUdRDQAgmORgghRLKLaaasoKBgwmvd3d20trbS0tJCW1sbxcXF3HPPPQBs3boVCK9FE+JSi2H3JcCabCspioGh0RHO9vewKsuS6JCEWFQ0TWN4dDDRYcwo1ZgedXsfvSm62+2mtbWVxsZG9uzZQ0VFRaipusvlwu12Y7FYaGlpoaamJqzXp8fjweFwUFRUhMVimXbp0u1243Q6KSkpQVVVLBZLWPP2+vr60H9f+qzxsTY1NYVO3WltbcViseBwOKL6M7icxJSUTbaTMjc3l3vvvTf0+SOPPBJKym688cawOjMhLhXQAnToy5cLPCkzGYysz8nnaPcFWrsvSFImRJwNjw7ylw1XJjqMGf1X1RuYUzKiure8vJzdu3eTl5dHY2Mj27dvx26309LSAkBjYyO1tbWhzwHy8vJoaWnBZrPhdrupqqqipaUltGTp8Xhwu92hiRKdy+WipqYm7Pxpu91OfX091dXV1NfX09raGkquPB4PRUVFtLa2YrPZwmJ1Op00NDSExqmpqaGiooKmpqao/hwuFzEtX0aS+ctfgJgN1TeIf2ypryAtM8HRxO7iDsz2BEcihFioLq3/cjgcofOgt23bNmH1acuWLaHEqaqqCrvdHjaGzWbDZrNNeE5NTU3oqEKdy+VCVdWwz8ePY7FYws6h1p9TU1MzIWaXyzXhbGsRblYzZZ///OfxeDx0d3cD0NzcPO2h5M3NzWHTnkLMRF+6tJozSTXGvY3evLPlXKwrE0LEV6oxnf+qeiPRYcwo1Zgel3EuPX7Q7XajquqE10tKSnA6nXg8HjweD6WlpRPGujTRm+ra8TNw1dXVoZ/pqqri8XgAws6h1l26RGqxWLDZbDQ1NVFZWTnDV3r5mtVPvYcffhgITpdWV1ejKAqapk16rcVi4eGHHw51+RciEu0Dej3Zwm6HodtgGWuL0SM7MIWIN0VRol4WXIguTXSam5uB4OzV+PesVisOhyOUNEWy0zLSa/Xl0tLSUmpqambVWsNms4WeIyYX1VREZWUlxcXFfP7zn2fXrl3xjklcxkI9yhZ4OwxdUY60xRBCzA19CbK8vHzS5Ug9ARq//DjTWB6PZ9KxAOrq6nA6nTQ1NU15zXQ8Hg/l5eWzvu9yEnVNmc1mm1AkKESsLiySnZe6otzgDuUz/d0MjAwnOBohxGJSXl4+oaZL53K5QrVj+ozadPRrpxoLgkX/TqczLCHTly5VVQ2rN7t0SVNf7qyqqorsi7tMxVToP/5A8qns27cvlkeIy8xiS8ry0jKxmoMbFmQJUwgRbzt37pxQnO/xeEKzY06nc0IrCpfLhcfjmdAz1Ol0UltbGzazduly46Xv2Ww2VFXF6/WGLWWO33kJwQ0JlZWVMlM2gzmvpK6treWxxx6b68eIRaI9dBj54qgpg4sHkx/tvsA1+XIwuRAici6XK2ynZXl5eViSVVlZic1mo6amhpKSEiBYU6YX05eXl9PQ0IDdbqesrAyv1xuaFauvr0dV1dD4eksLu91OUVFRaHelnkg1NTWFNhAUFxdjtVpDYwNs3749FFdFRUVop+WePXsoKysLe19MTtGmqtS/xCOPPEJzczM/+clPQq+VlZVNe48+XTk6OhpblPOop6eH3Nxcuru7J+3DJubW1t/t5IWzrfzXHVt5f9Hi6Gn3uRd+yo8P7+Gvrr+HzxW/LdHhCLGgDA0N0dbWRmFhIWlpaYkOR0RAURRaWlom7ApdTCL9vpxtThHxTNm3v/1tjh07FpaUtba2UlpaOmXBn6Zpk26VFWIqi+WIpfE2WZYCcESVXmVCCCGmFnFS5na7JyRYpaWlPPnkk9Pe19XVFV1k4rLUvki6+Y+3ITeYlEkDWSHE5UImZKITcaF/bm4uhYWFYa/p69DTkbOuRKR8o35U3wCweFpiAGyyLAPA093BSGDhLOULIcRsuFyu0O5Kh8MRdk6miExMhf6XJmnRXiMEEDrz0mQwYkmNTwfsZLAyM5eMlFQG/MMc7+lkw9hyphBCLCbl5eWyuzJGMbXE2LdvX+hD99RTT/GZz3yGrVu38rOf/SzW+MRlpH3wYjf/SM5VXSgURWHjWCJ2WOrKhBBCTCGmpOw73/kOdrs91Mdk9+7dVFRU4PV6qa6u5pVXXpHETERssfUoG2+DHEwuhBBiBjEtXxYVFfGd73wn9Lndbsdms4X6kt1777088sgjsUUoLhvti3DnpW7jWF2Z7MAUQggxlZhmyi7ldrvl9HcRtcU8U7ZxbKZMkjIhohNhS00h5sVcfT/GlJTl5eWF/nv37t0oikJFRUXYNfIPSUTqQqgdxuLp5q/Ta8qOdl8goAUSHI0QC4fRaARgZGQkwZEIcZH+/ah/f8ZLTEnZ0aNHQ//tcDiwWCzcc889odeOHTsWlrgJMZ32gcW7fLk220qqwcjQ6Ain+tREhyPEgmEymTCbzXR3d8sv+SIpaJpGd3c3ZrMZk8kU17FjqimrqamhtLSU7u5uWltbQ+dc7d69m4aGBnbu3Cl9ykTE2hfx8mWKwUhhTgGH1PMcUdtZm22d+SYhBAAFBQWcPn2aU6dOkZubi8lkWlQ7tMXCoGkaIyMjdHd309fXx6pV8T/LOOY+Zc3NzezduxebzUZubm7ovaqqKqqqquQfjoiYXlO2bBE1jh1vk2VZKCm7d83mRIcjxIKhnxnY0dHB6dOnExyNuNyZzWZWrVo1J+djx5SU6W68Mfzg6HvvvTf039ISQ0RC07Q5mykbOr6Xjl12RjpPoRiMpFhXU1D5FdLWl8T1OTO52Kvs/Lw+V4jFICcnh5ycHEZGRhgdlZMxRGIYjca4L1mOF5ekbDpOp5P3v//9c/0YscD1DA/hG/UD8UvKNP8wnY9/Be9vHoZxxxsNnznIiYO7ybvvb8h/3z9jmKfTA67IC7bFOCRJmRBRM5lMc/pDUYhEijkpe+SRR0J9yS6lqmqosawQ09FnyXJS00hPif1/uJqmce772+h98VEAssoqsdzzadACdD/zXXpf2UXXE48wfOYNVv7Vz1EM8d1BM5nNecuB4ExZQAtgUOLakUYIIcQCF1NS9vnPf576+npKS0ux2WwT3u/s7IzqpHiPx4PD4aCoqAgAi8VCdXX1rMepqKigqalp1veJ+dc+0APEb+dlz/M/CCZkBiMran5I9s1bQ+9lXHUv2bd8gLPf/hD9r/6Gzp/9IwWVX43Lc6ezLtuK2ZjCoH+EE71drM/Jn/NnCiGEWDhiSso8Hs+MSdeWLVtmPWZJSQltbW1YLBYgeFJAXV0d27dvj3icuro6XC7XrJ4tEqd9rEdZPJIy35k3aP/hXwCQ/74vhSVkuqzi97DsEzs553wI768fJnX1NeTc8sGYnz2dFIORjblLed17hkNd5yQpE0IIESam9ZNLG8VOZrYtMRwOB9XV1aGEDGDHjh3Y7faIx/B4POzZs2dWzxWJ1T4YnClbEuPOSy0Q4JzzIbThATKuvhfrO6b+vsm59UPkPRBM9M//Tw0jXXO/q0vqyoQQQkwlpqRMVdUZr2lra5vVmLt27QotW+r0BC3Sma/Gxka2bp04OyKSlz5TtizGmbK+lp/jO74XQ3ouy7f9L4ph+m/xgsqvkLbhVjRfPx0NX4jp2ZG4Yqyu7M2uc3P+LCGEEAtLTElZdXU1jzzyCMeOHZvyGqfTGfF4qqqiquqk9WkWiwW32z3jGI2NjXL+5gKk15TFsvNS0zS8v/oaAJaKvyDFsnzGexSDkaUf/g8Ael98lMGjL0X9/EhcMXYw+aEumSkTQggRLqaasurqalRVxW63Y7FYsFqtYcuOs919Od21VquVzs7Oae9XVRWv14vNZosogQPw+Xz4fL7Q5z09PZEFK+JKP/dyaUb0zfj69/0a34l9KGlZ5L3tryK+L62wlJy3fIye53/AhR/9DWu++MKMM2zRunJspqy1+wLDo35SjXPelUYIIcQCEdNPhKamJkpLS3nwwQexWiceGxPt7supzLRcWl9fP6vNAAC1tbV86UtfiiEqEQ96TVm0y5eaptH5y+AOSss9f4oxa3bHGBVUfpXe5p8y5HmFvuZGsm+a3QaVSK3IzCXbZKZ3xIenpyPUJkMIIYSIKSmz2Ww8+eST014zm92X42fZLjVTcudyuSgvL4/4WbodO3bw2c9+NvR5T08Pa9asmfU4IjbnB2Lr5j/45jP42vagpKaTd//fzPr+FMsK8u77LN7Hv4z3t4+QVTY3R4QpisIVectpbj/Om13nJCkTQggREtMazc6dO2e8Zja7L/XZtslmxFRVnTZpc7vdFBcXR/wsndlsDh3foX+I+eUb9dM9PAjA0ih3X3b/4f8BkHPbQ6TkLI1qjLzyP0NJTcd3rIXBN56KaoxISF2ZEEKIycQ0U3bpmZeTKSwsjHg8i8WCxWKZclZsqhYc9fX1tLa2hrXN0GvK7HY7+fn5s17WFPNHP4g81WDEEsWRR4HBXvqag2es5rzlY1HHYcwuIPetn0Dd/d94f/uvZFx178w3RUGfHTskOzCFEEKME3OV8b59+7Db7TQ3N+NwOPjUpz4FwKc//Wm2bNnCPffcM6vxtmzZQmtra9hr+gaAqZYnJ+v2X19fj8vlmnWfNDH/xh9EHs2SYW/Lz9CGBzAt20ha0c0xxZJ3/2dRn/4OA683MXR8H2nrbohpvMnovcrekKRMCCHEODEtX+7du5d77rmH3NxcHn744bD3vvOd79DV1cW+fftmNabdbqexsTHsNafTGdZaQ1VVKioqpt1hGUkPNZEc2mOsJ+t5IXi+Zc7tD8VcB2Zasp7sm6oA6Prd12MaaypXWVcAcLKvi27f4Jw8QwghxMITU1L28MMP09LSwq5du9i2bduE9x988MFZH3Vks9loaGgIJWd1dXXk5+eHzYZ5vV6am5snXeb0eDzY7fZQEldVVUV9ff0svzIxn/Tly2VR1JONdJ5g8M2nAci57SNxiSfvvuBGgb49jYz2Td+GJRoWcwarMi0AvNF1Nu7jCyGEWJhiWr4sLCycVc1YpIqLi6ct2rfZbHR1dU35nsPhkGXLBeT8WFIWzbmXPS/+H2ga6ZvvwlSwLi7xpBWWYl53I77je+l54VHy7ou851mkrrau4HS/ykHvWW5ZPrFZshBCiMtPTDNlBQUFYZ9rmjbhmpkavgoRy/JlX/NPgeA5lvGUe2ewNrL72Z2Tfl/H6sqxJcwDXpkpE0IIERRTUnb06FFeffXV0OeX1vM88sgjsQwvLhP68uVs22GMeE/hO74XFIXMG98V15iyb/0QSmoGw2feYOjIC3EdG+Bq60oADkpSJoQQYkxMy5cPP/wwNpuNiooKysrKaG1txWq14vF4cDqdWCwW9uzZE69YxSLVHuXyZf++XwOQVnRL1L3JpmJMzyH75q30/OF/6H72u6Rvektcx9eL/Q+r5xkJjGIyGOM6vhBCiIUnppkyi8USKrjfvn07TqeTyspKtm/fzoMPPigJmYiIvnwZbVKWdcM74x4TQO5dwc0rva80MDrQHdex12bnkWUy4xv109p9Ia5jCyGEWJhiPnXZZrPR1NREV1cXTU1NtLS0EAgEJrTIEGIyAS1wcflyFklZwNfPwMFg1/3MOUrK0mw3kbryKrSRoVDtWrwYFEPocHJZwhRCCAFxSMp0ubm53HvvvRF1+RdC1+UbwK8FAChIz4r4voGDu9H8PlLy15G66uo5iU1RFHJu+zAAPX/8UdzHv2qsrkyK/YUQQkAckrJ9+/bx1FNPsW/fPnp6euIRk7iMtA/0AWA1Z5JqjLzEsW/vxaXLuTg4XJd9yweB4IHnI50n4zq2Xld20HsmruMKIYRYmKJKynp6eti6dStGo5GSkhIqKiooKSkhLy+P+++/n+PHj8c7TrFItQ8GE/kls5gl0wIB+l/9DQCZN87N0qXOVLCO9CvuAE2j9+WfxHXsq0NJ2dk5abshhBBiYZl1UvbII4+Ql5dHQ0MDhYWF3HjjjaFly8LCQp588klsNhtf+MIX5iJeschc7OafE/E9w6cPMNp9DiU1g/Qr7pyr0EKyx3qg9bz4f3Ed94q85RgUhc6hfs4NyCyzEEJc7maVlO3cuZOvfe1rPPzww3R1dXH06FGam5t58sknaW5u5ujRo3R1dfHtb3+b73znO3z963NzdqBYPM6HGsfOop7sjeCxSumb3oLBZJ6TuMbLLqtESUll+NRr+E7uj9u46SkmNuYGW3m81nk6buMKIYRYmCJOyvbu3YvD4aClpYXPfe5z5ObmTnpdbm4u1dXVeDwevvrVr4Y1lxXiUhd3XkY+UzbwRnDXZcZV98xJTJcyZuaRef0DAPS8FN8lzOsLVgPwasepuI4rhBBi4Yk4KXv44YdxOp0Rn3VpsVjYtWsXX/va16IOTix+ocaxGZHNlGmjfgbffBaAjCvvnrO4LpVVVgUEj3WKZ/3XtfmrAJkpE0IIMYukrLW1lXvvvXdWg5eXl095cLgQcHH5MtKZMt/xvQQGezCk52JeN3/tV7KufwdKipmR80cZPvVa3Ma9ruBiUibF/kIIcXmLOCmz2WxRPcBisUR1n7g8zPbcy1A92eY7UebxaCJDejYZ194HQO+e+DWSvcq6AqNi4MJgH2el2F8IIS5rESdl0faCslqtUd0nLg+zPfdyvuvJxssuexAgrt3901NS2WgZK/aXujIhhLisRZyURbu0MpeNPcXCNjAyTN+ID4gsKdP8wwwefh6Y33oyXeYN7wKjieEzb+A7fTBu414/toS5X+rKhBDisjbnM2Verzeq+8Tip8+SpRlNZEXQ2mKw9WW04UGM2Uvm7Gil6Rgzcsm8pgKI72zZtfnBHZj7OyQpE0KIy1nE59o0NDTQ1tY26xkzt9s966DE5aE91Dg2O6Kkf/DQcwCkX3lXwmZgs8oq6X/1t/Tu+Sn57/mHuIw5fgempmkyuyyEEJepyA8bBJqbm2f9APkBI6Yy23qywSMvAJC+8S1zFtNMsm58N+eNKQyfeo3hs4dIXXFFzGPqxf4dQ8Fi/5WZk/cAFEIIsbhFvHxZXFxMIBCY9ceNN85f2wKxsLQP6OdeRlBPFggwdPQlANI33jancU3HmJlHxlXB1jC9zT+Ly5jpKSY2jRX7v9oR30PPhRBCLBxz3hIj2vvE4ndhsA+IrB3G8OkDBAa7UcyZmNdcN9ehTSu7NP67MG9YsgaAvRckKRNCiMtVxEnZrl27onpAtPeJxa99MDhTFsnyZWjpsugWFOOsVt3jLqv4PWAw4ju+l+H21riMWbxkLSBJmRBCXM5mdSC5EPHUPjA2UxZRUvYiAGkJXLrUGbMLyLjyLgD64rSEqSdlr3acwh8YjcuYQgghFhZJykTC6DNlkdSUDR0NJmXxqCfThkYY+v0her7iov9RN9rI7JOgrLElzHh1999oWUK2ycyAf5jD6vm4jCmEEGJhkaRMJMz4lhjT8atnGbnQBoqBtKJbYnqmNjhC50M/Rv2bXzLwo730fm03nVt+iP/Y7M5ozSp+LygGfG17GOk4HlNMAAbFwPUFwboytyxhCiHEZUmSMpEQo4EAnUP9wMyHkev1ZObV12KM8ODyyWiaRvcXf4f/wHmUnDTSq65DsaTjP3QB9W8eRxuOfMYsJXcZ6ZveCkBfyy+ijmm84lCx/4m4jCeEEGJhkaRMJETHUB8BTcOgKOSnZU57bbzqyQZ/9jpDT7wJKQbyvvk+cr90HwW/+DhKXjAx69/50qzGyyp5LwB97l/EFJeueGmwrszdLjNlQghxOZKkTCTEhbGly4K0LIyG6b8Nh47+EYitnkwbDYSSrqy/fAuppcGjjYxLs8j5YjkAfc6X8B+L/FiwrOL3ADB4+Hn8PReijk1349hM2ZHudrp9gzGPJ4QQYmGRpEwkxPmBYFK2JD1r2usCIz58J/YBxFRP5tt9hNETKkpuGhkfCm9onHb/FaS+tRD8Afr/tyXiMU0F6zCvLwEtQP/eX0Ydmy4/LYt12VYguAtTCCHE5UWSMpEQ58d2Xi7LmL5GzHfyVTT/MMbsAkxLCqN6lqZp9H9vDwAZH7oRQ0Zq2PuKopD5yZsAGHr8AAE18lmqrOL3AtDX8vOoYrvUjWOtMVouxL55QAghxMIiSZlIiHP9waRsecb05zwOeYLJVFphWdTnqPrfaGfktbOQapwwS6ZLLVtDyualaIMjDDTuj3hsva5s4OBuRscSzViUjCVlze1S7C+EEJcbScpEQpwf0GfKpm+HMdT6MgBpRTdH/ayh3x8CwHxXEcb8yTcVKIpC5kdLABj40V60gBbR2Kkrr8S0/Ao0/zAD+5+IOkbdTcvWA9DSfpzRQCDm8YQQQiwciT2vZgoejweHw0FRUREAFouF6urqGe9zuVy43W4AWltbKSoqYvv27XMaq4iOvnw540xZ28WZsmhomsbQk4eDY7xt07TXpr19Mz1f203gXC8j+06TWrx6xvEVRSGr5L10/cZBb8vPyb55a1Rx6jbnLSfbZKZ3xMcbXWe5Jn9VTOMJIYRYOJIuKfN4PJSUlNDW1obFYgHAbrdTV1c3bYLldrtRVTXsmqKiIlpbW3E6nXMdtpili8uXU9eUjfZ3MXJuLKGy3RTVc/xHOhg93gWpRsx3Fk17rWJOwXzvRoYeP8DQb9+MKCkDQklZ//4nCAwPYUhNiypWAKPBQMnSdTxz+jCvnD8mSZkQQlxGkm750uFwUF1dHUrIAHbs2IHdbp/2PqfTOeGa8vJy6uvr5yJMEaOLM2VTJ2X6LJlp2QaMWdaonhNaunxLIYbM1BmuhvT7Nwfve/Iw2mhky4dp60tJyVuFNtTHwMHdUcU5nr6E+cr5YzGPJYQQYuFIuqRs165doWVLnZ6guVyuKe+rqKigvLx8LkMTcTISGKVjMNjNf7rdl0OtrwDRL10C+J46GhxjhqVLXeqt61By0gh09DPcHFlbCsVguLgLMw6NZPWkbM/5Y2haZLVtQgghFr6kSspUVUVVVWw224T3LBZLqF5sMpWVlROWKXft2oXD4Yh7nCI2FwZ60dAwGYxY0zKmvG7IM5aURVnkP9rRj/9QsKmr+S2RtdNQUo2kVWwEwPfkoYifpe/C7N/7S7RR/+wCvcT1BWswGYycH+zlRF/kzWyFEEIsbElVU+bxeKZ8z2q10tnZOeMYjY2N7NmzB7fbTUNDw4yzZz6fD5/PF/q8pyf2tgZieufGli6XpmdjUCb/vUDTtItJWZQzZcMvB9tKpFyxBIN16uTvUuZ7NzL409fwPdeGpmkRteJIv+IODJlWRns7GDzyAhmb74wqZoD0FBPX5a+i5cIJXjl3jHXZ+VGPJYQQYuFIqpmymaiqOuM1lZWVOBwOampqsNvt0yZ6ALW1teTm5oY+1qxZE6doxVT0Iv/pli79HccZ7b0ARhPmtTdE9Zzhl4INWFNvWTer+1JvWgMmI6Onuxn1RDZTpRhTyLrxXUB8Dii/aVlwZu+V9mMxjyWEEGJhSKqkbHxx/6W83tkt41RWVlJeXk5JScm0ydyOHTvo7u4OfZw8KYdBzzW9R9m0Rf7HgscdmVdfG/VuxuGXgjNl5ltnl5QZMlKDiRng+8P0Sf144w8oj7UW7KZlwZhfPtcW0zhCCCEWjqRKyqzW4A67yZIoVVWnTdomU1FRgaqq0+7ANJvN5OTkhH2IuXVuYOaZMt/xYP1g2vriqJ7hP6kyerobUgyYSiJrbTGe+Y5gXaPvuciTsoyrK1DMmfg7T4Tij9ZNywoxKAqeng7O9nfHNJYQQoiFIamSMovFgsVimXJWrKKiYsp78/LyqKurC3tNT/JaW1vjF6SI2axmytZNfizSTPSlS9N1KyJqhXEp81uDy4fDzacI9A9HdI8hNZ3Ma+8HYl/CzDWnc+1Yj7IXz0WeGAohhFi4kiopA9iyZcuEJEqvC5uqaF+fWbt016Z+X0lJSZyjFLGY6TByTdPwHd8LQNr66P7uht2ngeCZltEwrsvDuCYX/AGGX4n8HMrQEmYc6spuXR78fn7xrPxSIYQQl4OkS8rsdjuNjY1hrzmdzrB2F6qqUlFREWqRoR/DVFxcPOG+4uLiiI5oEvNnpm7+fu9JRns7wJhC6upro3rGyN6xpOzG6DriK4oS2iAwm6Qs8/p3gNHE8JmDDJ+NvKXGZG5fEezX98ezMlMmhBCXg6RqiQHB2a6GhgbsdjtlZWV4PB7y8/PDEiuv10tzc3PYMqfD4aC+vp6WlhYsFgsej4fi4mLpU5aEZurmH1q6XHVNVEX+Ae8AoydUAEzXr4wuSCD15rUMNuwPbRiIhDEjl4wr72bg9Sfpa/kF1ndOfxLFdG5atp4UxcCJPi8ne72syY7uVAMhhBALQ9IlZQDFxcUTZr3Gs9lsdHV1TXhdZsSS38DIMD3DQ8DUy5e+Y8EZ0KjryfadASClKB9DbvTnUKbetBYA/6ELBNRBDJb0iO7LKn1fMClzx5aUZZrM3LBkDc3tx3nxnIetkpQJIcSilnTLl2Jx03deZqakkj3FLNhQaOdldPVkI/uCS5emG6KfJQMwFmSSsqEAmN0SZtaN7wFFYcjzCiPeyI5qmsptY3VlL0hdmRBCLHqSlIl5FVGRvz5TFmU7jOG9wZky0w3R1ZONp/crG34l8v51KbnLSNtwGwB97sdjev5tY3VlL55tlXMwhRBikZOkTMyrGYv8u04z2tMOBiPmNdfNenxteJSR188BkHpjbDNlAKm3BJcwfbOoKwPILnkfEPsuzJKl6zAbUzg30ENr94WYxhJCCJHcJCkT8+r8DI1j9aarqSuvwpAaWQ3XeP4jF8DnR8lJw7g+9hqs1NLgTNmop5OAOhjxfXprjMFDzzLaN/OZrVNJTzFx07L1ADx75kjU4wghhEh+kpSJeXVuINidfqqkbOhYbJ38R14LzpKZrlmGYpj5IPGZGCzpGG3B5G54rM1GJExLCjGvuR4Co/Tt/VVMMdyxciMAz52WpEwIIRYzScrEvDo7NlO2MjN30vd9ejuMaIv8D+hJ2Yqo7p+M3utsZBZJGQR3YULwLMxY3LlqEwAvnmvFN+qPaSwhhBDJS5IyMa/O9KsArJgiKQvNlEXZDkOvJzNdsyyq+ydjGkvK9FMCIpVV/F4ABl5vIjDUF/Xzr8xbzpL0LAb9IzS3H496HCGEEMlNkjIxr/TDtVdmWia851fPMtp9DhQD5rU3zHpsbXAE/9EOIM4zZcXBA81HXj+HNhz5TFXq6mswLS1CGxmi/7XfRf18RVFCS5jPnj4c9ThCCCGSmyRlYt74A6O0D/YCsCJj4kyZ3sk/deWVGMwZsx5/5FA7jGoY8jMwLMuKLdhxjOssGKwZMDzKyIHzEd+nKEpotqyv+WcxxaAvYUpdmRBCLF6SlIl50z7QS0DTMBmMFKRnTnjfF2uR/+vBhMl07QoUJfYif52iKJjG2muMzHYJ86ZKAPr2/ZqAbyDqGN66cgMAr3vPcGEssRVCCLG4SFIm5s2ZsaXL5Rk5GJSJ33qhMy/XRZuUnQXAdHX86sl0erH/bHZgAqQVlmFaUojm66d//2+jfv6S9GyutgaXZJ+V2TIhhFiUJCkT8+bsWDuMqYr8fcf3AtHPlPnHlhZTrlke1f3TMRVfTMpm01lfURSyyqoA6H15V0wx3LN6MwBPnXozpnGEEEIkJ0nKxLyZbuelv/s8/q7ToCjRF/m3eQEwXRX/mTLTVcvAnILWNcjosa5Z3Zt98xYA+vf/lkAMS4/la4JJ2bOnDzMSGI16HCGEEMlJkjIxb/Sdl9MW+a/YjCFt9kX6I0c6IDBW5F8wsV4tVkpqCqaxGbjZtsYwr70B07KNaMOD9O2LvpHsDQVrsJoz6R4ektYYQgixCElSJubNmVA7jIlJWegQ8ij7k/nfbAcg5cqlcS3yHy/aJrKKopB9U3C2rPeV6JcwjQYDd68O7sLcfVKWMIUQYrGRpEzMm+lqyoaO6zsvo+zk/8bYzsvNS6OMbmbj68pmS1/CHHjt94yOLeNGo3zNlYAkZSJxfKN+Xjzbyt4LJznTpyY6HCEWlZREByAuH2emaRwbmimLtshfnymbw6Qs9YZgW4zRNi8B70Cwd1mEzKuvIXXV1QyfPkDf3sfJfcvHoorhjpUbMSoGjnS3c7y3k3XZ+VGNI0Q0VN8AW3+3kwPes6HX/uTK2/jyze+asxlqIS4nMlMm5sVIYJT2gckbx/p7LuD3ngQgbe3sly+10QD+w2Od/K+Mf5G/Lng4eTAJGt53Ztb3x2MJM9eczk3L1gPgktkyMY96h4f48JPf54D3LFkmM6syLSgo/M8bL/Ldg88nOjwhFgVJysS8aB/oRWPyxrH6IeSm5ZswpGfPeuzR411ogyMo6SaMay3xCHdK+mzZSDRJmb6EecDFaF9n1DHouzCbTrwR9RhCzIamaWx76lFe7ThFnjmDX7zjM7y85fP8400PAPDlV36L66R8PwoRK0nKxLw4O03j2KEY+5ONvDG2dHnFEhTj3H5Lm8aSsuFXZ5+UpS7fFGz3Meqnr+XnUcfwtrVXAfDHcx7UGE4JECJSz545wvNnj5JmNPHj+z7J5rzgTuRPXfUWPrzpJjQ0/u75nzLoH0lwpEIsbJKUiXmh9yibfOel3sk/uiL/+agn05muDyZl/tfPofkDs74/tIQZQyPZwpwCrrAsY1QLyBKmmBffePUpAB7afDPX5K8Kva4oCl+59T2syrTQMdTHz1r3JipEIRYFScrEvNB3Xi6fbOdl6MzL6NphjIwlZaYr5z4pSynKR8k2B5vVHr4w6/uzbgp29x9442n83ZEfbn6p+9ddDcDvTxyIegwhIvHSOQ8vnz9GqsFIzTV3THjfZDDyqatvB2DngT8Q0Gb/y4oQIkiSMjEvzkzROHa0rxN/Z7ARajRnXmqahn9s+XIu22HoFIOC6brgGZQj0SxhLrVhLiwDLUDvKw1Rx3H/2mBS9szpw7JkJObUN159GoCtG0tZnpEz6TUf2FhGtsnM0e4LPHXq0HyGJ8SiIkmZmBdnp2gcq8+SmZZtwDhJp/+ZBC70E/AOgFEhZWNB7IFGQF/CjGYHJkDObR8GoOfFH0YdwzX5K1mVaWHQP8IfzsgB5WJuvOE9x7NnjmBUDPzptXdOeV12ahofvuJmAJyv/2G+whNi0ZGkTMyL0EzZJUmZ3p8sLYpZMrjYNDalMB8lzRRDhJGLZQcmQPbNHwBjCr62ZnynD0Y1hqIo3DdW8P+747KEKebGL9teBYI7ftdkW6e99hNX3U6KYuCP5zwcUdvnIzwhFh1JysS8ON0fPMR7dWZe2Ov6mZdRN43Vd15uXhJDdLOjL1+OnlQZ7eyf9f0pOUvIvO7tAPS8EP1s2cW6soMMj/qjHkeIyWiaxq/a9gPw7sLrZ7x+ZWYud6zaCMATx1+f09iEWKwkKRNzbtA/woXBPgBWZ1nC3vOFjleKcqYsVOQ/d01jL2XISSOlKNhEduTVszNcPbmc2z8KQM+Lj6IFRqMa4+ZlhSxNz6Z7eJA/nDka1RhCTOWA9wzHejsxG1NCvfFm8vZ11wDw22OSlAkRDUnKxJzT22FkpqRiMV88mmi0v4uRC21AdEX+MH6mbO6L/MczxbiEmXn9OzBkWhlVzzBwcHdUYxgNBh5YH/whqC8zCREvv2p7DYB7V28m02SO6J63rb0Sg6LwuvcMJ3q9cxmeEIuSJGVizp3qG1u6zMoLOx9PnyUzLSnEeMmyZiQCvT5GT6rBMeahHcZ4sTSRBTCYzGTf8gEgtiXM94wtK/3+xEGGZBemiBNN0/j1seDS5bsKr4v4vvy0LG5ZVgjIEqYQ0ZCkTMy5k2NJ2apLli6H2sbqyQpLoxrXfyjYJ8ywPBuDJT36AKOQGmMTWYCc2x8CoK/l54wO9kQ1RsnStazIyKVvxMfTp6UVgYiP1zvPcLzXS5rRxL2rI1u61OlLmE/IBhQhZk2SMjHnTvepAKzJuqTIv60ZgLT10SVliagn0xlt+Sg50TeRBUgrLCN1xWa04UH69jRGNYZBMfDusZkMvShbiFj9bqwp8b1rNpNhSp3VvfoGlOb245wfiO6XDSEuV5KUiTl3KjRTNvnOy7TCKI9X0tthzOPOS934JrLD+05HN4aiXCz4j2EJU19eajr5BgMjw1GPI4TuubHed/esvmLW967IzKV4yVog+D0phIhcUiZlHo+Hmpoa6urqqKuro76+PqL7XC4XdrudmpoaKioqIr5PzC09KRs/Uzba24G/4xgQfZF/ImfK4OISZrTF/gDZt30YFIXBQ8+FNj3M1vUFq1mXbWXQP4JLfgiKGKm+AV7tOAXAW1dujGqMu1dvAuB52RUsxKwkXVLm8XgoKSnB4XCwfft2tm/fTmtrK3V1ddPe53K5cLvdOBwOnE4nDQ0NOBwOampq5ilyMZVTY8uX42vK9Fky0/JNUXXy14ZH8R/pACBlnov8daEdmFEW+wOYrKvJuOoeINgeIxqKooRmy34pS5giRi+cbSWgaWzMXTrhBI5IvWXFhnFjyVmYQkQq6ZIyh8NBdXU1Fosl9NqOHTuw2+3T3ud0Otm+fXvoc4vFgt1up76+Ho/HM1fhihkMj/o5N1ZXMn6mTC/yT1sf5dKlpxP8AZQcM8aVk5/HN9dM160EBUZPdkfVRFYXWsJ8/n/RNC2qMfS6sqdPH6J3eCjqWITQe969deWGqMe4YckaMlNS6fINcNAbXS8/IS5HSZeU7dq1i6KiorDX9ATN5XJNeV9jY+OExK20tHTG+8TcOjvQjYaG2ZhCQVpW6PWhY2NF/lHuvBwZdwj5+DYb88mQbSalKHjeZixLmFkl70NJy2LkgofBN5+Jaowr81awIXcJvlE/vz8R3dFNQgA8dzpYT3bnqk1Rj2EyGLlluQ2A58+0xiUuIS4HSZWUqaqKqqrYbLYJ71ksFtxu95T3VlZWTkjmROKFli4zLeE9ykLHK0U5U/ZmYprGXioeS5gGcyY5twYPKVef+k5UY4QvYUojWRGdYz2dnOjzjiVVhTGNpc+0PX9W6sqEiFRSJWXTLTNarVY6OzunfL+hoYHq6uqw15qbg7Mx5eXlU97n8/no6ekJ+xDxM1mRv189h997ChSFtHU3RjWufhD5fDeNvZRprNh/OIaZMgDL3cHaxz73L/Cr56IaQz+f8LnTR+jyDcQUj7g86bsuS5aujbiL/1RuH6sre/l8m5zNKkSEkiopm4mqqrO63uFw4HA4Jp1509XW1pKbmxv6WLNmTYxRivEma4ehF/mnrrgSw7glzUhpmpY0M2Wp+kzZ6+fQRqI7wxLAvPZ60jbcCqN+up/7flRjbLQs5cq85fi1AL+Wgn8RhT+MJWV3RLnrcrzNecsoSMti0D+C+8KJmMcT4nKQVEnZ+OL+S3m9sztHraqqivLy8rDi/8ns2LGD7u7u0MfJkydn9Rwxvclmynwx9icbPd2N1jcMJiMptvzYg4yBsdCKkmOGIX/UTWR1+mxZ97M7oz6kvHJDsL3IrqMtMcUiLj+apvHyuWMA3LY89lIQRVG4fWVwnD9IawwhIpJUSZnVagUmnxFTVXXapG28+vp6rFYrTqdzxmvNZjM5OTlhHyJ+Jm2HMdbJ3xxlJ//QIeQbC1BMxpjii1WwiWx8ljCzyqowZFrxd56gf/8TUY3xPtuNGBUDey+c5IjaHlM84vJytPsCXl8/ZmMK1xWsisuYt68IJmUvn4+uB58Ql5ukSsosFgsWi2XKWbGKiooZx2hsbERV1bCEbLbLniJ+9COWVo/NlGmaFnMn/4tNYxO7dKkLLWHGmJQZUtPIfevHAeiOsuB/aUZ2qAv7Y0eaY4pHXF70xKl4yVpSjSlxGfPmscPJ9144KXVlQkQgqZIygC1bttDaGr6FWt8AMF3BPoDb7cbr9YYtWaqqKi0xEmQ0EOBMvwpcTMr8XacZ7T4HBiPmNddHNW5opizB9WS6eOzA1OXeFdys0v/a7xi5cCyqMbZsDCa7P2vdiz/KZVBx+Xnl/DEAblq2ftrr/F1n6D/gQn3q2/QfcKEFpm4Oa8spwGrOxDfq57XO2P99CLHYJV1SZrfbaWwMP5zZ6XROmPmqqKgIa5Hh8Xiora3FarXS2NgY+rDb7dMW+ou5c6Zfxa8FMBmMLEvPBsA3tnSZuupqDOaMqMZNtpky03Urgk1kT3Uz2hF9E1mA1OUbybj6XtA0up/dGdUY967ejNWcSftgL8+O9ZwSYiavjM2U6bNblwoM9nJu55/g+Zs1nP7X+2j/3z/n9L/ex7EvXI361LcnTc4URaFs2ToA9owlfUKIqcVnjjqObDYbDQ0N2O12ysrK8Hg85Ofnh7W78Hq9NDc3hy1zlpSUoKrqhIQOiKi2TMTf8d7g38/abCtGQzD/Dy1dRtmfLNA1QOBcLwApVyRHUmbIMpOyoQD/kQ5G9p3BWB7bzrXcuz/NwIHddD/3ffLf+08oKamzuj/VmML7i27guwdf4LEjzdy7ZnNM8YjF73Sfyqk+FaNioGTp2gnvDx1r4ey3P8TI+aOgKJiWbcK0ZD1DR//IyLnDtP/vnzPU1sKyP3GiGMLrPMuWruf3Jw6yp/0Yn+aO+fqShFiQki4pAyguLqa4eOpDqm02G11dXWGvXfq5SLxjvcG+cuuyraHX9CL/qOvJxpYujWstGDJnl6zMJdMNK4NJ2atnSIsxKcu64V0YLSsYVc/S1/Jzsm/eOusxtmws4bsHX6Dp5Bt4h/qxpmXGFJNY3PR6smvyV07oTzZ89hCnHOUEBntIyV/Lipofkr7pLUBw9kx9Zicdu+z0/OF/0EZHWP6p74clZmVjy6GvnD+GpmkJO4FDiIUg6ZYvxeJxvCc4U7YuO9i2IqzIP8adl6Yrl8UhwviJVxNZACXFRO6dnwKi7/B/lXUl11hXMhIY5eeefTHHJBY3vZ7s5kvqyQKDvZz5xoMEBntI23Ab677sDiVkAIb0bKxv/ywrPvN/YDDS++KjXPjJ58LGuDZ/JWZjCl2+AVq7Y2sbI8RiJ0mZmDPHejsAWJ8TTMr8HccJ9HWC0UTqmuuiGnPkYLCTf8pVyZWUpRYHWwiMvHYWzRf7LrPcu7aBMYXBQ88xdHxvVGPoBf8NR6RnmZieXk9207h6Mk3TOPfdP2H4zBsYLStZ+ecNGDPzJr0/+6YtrPj0owCoT/4nA28+G3ov1ZjCjUuCTblfaT82R1+BEIuDJGVizug1ZevHZsr0Q8jNq6/FEOURLnpSZro6uZIy47o8DPkZMDzKyGtnYx7PlLeK7LJKALp+/x9RjfE+2w2YDEZe957hoFd2vonJdfkGODzW0278zsue539AX8vPwWhi5Z83kGJZPu042TdtIeeOTwJw/nufIjDUF3rvpqXBcaXYX4jpSVIm5oSmaRzvCa8pG2qLrT9ZoNfH6PFg7aApyWbKFEUhtSw4GzC8Jz6nQuS97a8B6H35Mfzq7BO9vLRMKtZcCcBjMlsmpuBuDx6BZMspCNUejg720NHwBQAKHvwX0jfcEtFYSz74CCnWNYxc8HChYUfo9fF1ZUKIqUlSJuZEx1Af/f5hFBTWjCVl+vFK5ih3XuqHkBtW5mCwpMcn0DiKd1KWZisjbePtMDqCuvtbUY2xdWOwdq/xqJtB/0hc4hKLi34uZenSdaHXvL+qZbTnPKZlG8l7219FPJYxPYdlnwi2cul+6tv4Th8Agg1pITh73jHYN+X9QlzuJCkTc0Iv8l+ZmYvZmIIWCIzr5B9lkb++dJlks2Q6U+lYUrbvDNpwfJq25t331wCoTzsJ+AZmff9dqzaxOstC9/Agv2x7NS4xicWluf04AMVjrTCG21tRn/wPIDjzNduWLJnXVJBV8j7QNDp//s8A5JrTucIS/HfbMvY8IcREkpSJOXFpO4yR80cIDKgopjTMq66JasyRA8mdlKVsyEfJS4chPyMHzsVlzKzi92BaUkigr5Oe538w6/uNBgMPXRFcevp/b/wRTdPiEpdYHPyBUfZeCM7s6jNlnY1fRPMPk3HN28i8/h1RjZv/vn8GRaGv+WcMHQs2+daTvpaxmTkhxESSlIk5cXwsKVufUwDAYOtLQHCWTEkxRTXmSJLPlCmKQmrpaiB+S5iKwUjefZ8FwPvEI2hRnB/4wU1lmI0pvNZ5GveF+MQlFodDXecZ8A+TbTKzybKU4XNH6N0TbMC9ZMvDUfcUM6++huybPwBA58/+EYCSsSVMmSkTYmqSlIk5cezSIv/WlwFIs90c1XiB/mFGjwWXRJOtHcZ4qfoSZnP8kp+ct34cY/YS/B3H6N3TMOv7rWmZvGt9sAXJD978Y9ziEgtfaOlyyVoMioGu330dtACZ1z+AeW10Z9Pq8t/7T2Aw0r//CQaPvhSaiXu14zQjciarEJOSpEzMCb0dxrqxHmVDR8dmyoqiS8r8b7SDBoZlWRgLkrc7vV7sP+I+jeaf+qDm2TCYM7BU/AUA3t/URbUE+bErbwXg1237pdBahOhJWcnSdfi7zoSWyK3vsMc8duryjeTc9hEAun7/79hyC8hNTWdodISD3tjbxgixGElSJuaEvnxZmJ1PYKgP36nXAEiLcGv9pfSdl6arpu+VlGgpm5ag5KShDYyEllvjwXLPZ1DMmQyf3M/Aa7+b9f03LlnD9QWrGQ6M8pMje+IWl1jYWtov7rzsevI/0fzDpG28Paxrfyz0jSp9LT9n1HsqtAuzWZYwhZiUJGUi7nqHh+gc6geCM2VDbc2gBUixrsaUtyqqMfXC+WRrGnspxaCQWhKsKxuJU10ZgDHLiuWuagA6f/m1qGbLPr45OFv2wzdfZjQQn1k8sXC1D/Ryos+LgsL12Xl0P+0E4jNLpjOvuY70K++BwCjq7m9ROlbsr/dGE0KEk6RMxJ0+S5aflkmWyRxzPRmA/0ByHq80mdSysWL/ONaVAeTd/1mUFDNDR19k8I2nZ33/uwqvI8+cwel+FdfJN+Iam1h4Wi4EZ6s2WZaiNTcQGOrFtPwKMq9/IK7PyXvbXwLQ/cxObsxbFvZsIUQ4ScpE3LWNFfnrxyuFdl4WRbd0GRgYxt8WrFFL9pkyGNdEtuUU2mj8ZqRS8lYGz8QEOh//l1nfn5Zi4gMbywD4wZsvxS0usTA1j81WlS1dFzr43nLvZ6LecTmVzOvfgWlpEYEBlaIjz2FQFE71qZwb6Inrc4RYDCQpE3F3tDt4jt4GyxI0TQvNlKVviLLI/9AFCGgYCjIxLsmKW5xzJWXzUpSsVLS+4eAGhTjKe+BzKCmpDB56LuzQ50g9tPlmFBSeO3OEo2p8YxMLi96a4jptmOFTr6OkZpBz20Nxf45iMGCpCM6WjTzjZPPYGZrSGkOIiSQpE3F3VL0AwIbcpfg7jjPacx6MKZjXFUc1Xqhp7AKYJQNQjAZSy4K1M74Xj8V1bJN1NTl3fAKIbrZsbbaV8jWbAfjuwRfiGptYOIb8I+zvOAXAxtd/C0D2LR/EmGmZk+fl3PYRlNR0hk+9zvVpaYDUlQkxGUnKRNyFZspylzDYGuyLZV5zPYbU6M6r1I9XWgj1ZLrU24I9mYb/GP/ZAOs77GA0MfjG0wwcfGrW91df81YAGo62SHuMy9TrnWcYDoxSYM4gZ88uACz3fHrOnmfMtJBdVgnAFWf2A7IDU4jJSFIm4iqgBWjt7gBgg2Upg4eDszHpG2+PesyR18d2Xi6gpMx8+3ogWFcWGBiO69im/LWhnZgdP/2HWe/EvGVZIdcXrMY36pdmspcpPSG6Dj/K6AhptptIWx/dTHakcu/8FAAb9j0OwGudp/FFcUKFEIuZJGUirk73qQyNjpBqMLI2y8rgkbGkbFN0SVmgfxh/azDJM123Im5xzjXjujwMK3LAH2Ck+VTcx7e+6wsoqekMtb5E/6u/mdW9iqLw6WvuAILnYQ7645s0iuSnJ2WbTwUPqdeXxOdS2sbbMS2/ghU9Z8kzGBgOjPJ655k5f64QC4kkZSKujnQH68kKcwpgsIfhsaax6Ruja0Y58vq5YCf/5dkLoshfpyhKaLYs3nVlACmW5VjKg13+O376D2iz7Dv29nVXszbLSpdvgF1HWuIen0hemqaFWlJsPrUXxZRG9k1b5vy5iqKQe+cnUYCr+4MlDm5pjSFEGEnKRFzpO/o2WpYyePRF0DRMyzaQYomuE//I/uBxLAtplkyXemuwrsz3/LE5Gd/6wOcwpOcwfHI/vS//ZFb3phiMbLs6mCh/5/Xn5CzCy8iJPi8XBvtIQWNT7zmySt6HMSN3Xp6dc/tHwWhi89kDwMW2HEKIIEnKRFwdHZspK8pdwtCRONST7Q8ub6QuwKTMfNt6MCqMejrxn+6O+/jGLCt5b/8cAB2NXyQwPDSr+z+wqYyCtCxO9nXxi9Z9cY9PJKc958eaxva1k6qNkvOWj87bs1NylpB5/QNc3RP8dy1tMYQIJ0mZiCt95+XG8UX+UZ6jp2nauJmylfEJcB4ZctMw3RA8Vsr3bOucPCPvvr8mJW8V/s7jqK5vzure9BRTaCfmN/Y/LUcvXSb0ROjqrhOk5K0i46p75/X5ubd/lE295zFqAc4N9HCmT53X5wuRzCQpE3Gl9yizZVoY8rwCRJ+UBc71ErjQD0ZlwfQou5T5LhsAvmc9czK+wZxB/vu/DID3V19jtK9zVvd/dPMt5Kam4+np4LfHX5+LEEWS0Yv8r+45TfZtH0ExGOf1+ZnXP0BmRg5Ffe1h8QghJCkTceQd6sfr60dBYXXXcTS/D2POUkzLNkY1nj5LlrJxCUq6KZ6hzhvzHUUADL9yEm1wZE6ekXP7Q6SuuY7AYPesG8pmmcx88qrg8vJ/7NtNQJPZssWsd3iIN7uCLWau7jlD7u3zt3SpU1JSybn5A1ylL2FekLoyIXSSlIm40evJVmdZQD9aaePtUZ+lN/Lawi3y16VsyMewMgd8fnwvz80PH8VgZMkH/hUAdfe38J0+OKv7P3HVbeSkpnFIPc+v216bixBFkth74SQasGJQZdXqa0hduTkhceTc/tDFurJzbQmJQYhkJEmZiJsjYzsvi3KXMHj4D0D0S5cAwwt456VOURTS7grOlvmeOjpnz8m8upzM4vdAYJQL//fXs2ooazFnhHZifn2fC7/sxFy0mtuPAcFZsvks8L+UubCUG9KCJ3y87j3DoH9uZpGFWGgkKRNxc0QNHoe0IaeAgUPPAZC++a6oxtL8AfxjZ14uxJ2X45nvDS7f+p46ijY6d8uDSz7wCEqKmYGDu+lz/2JW937qqrdgMWfQ2n2BX3j2zUl8IvFeHqsbvLrvPNk3b01YHIqisKnsQay+PvwEu/sLISQpE3F00Buc2dowOog21Ich04p5zXVRjeU/2oE2OIKSmYrRlh/PMOddaulqlNw0At4BRtxz98MndamNvLf/HQAXfvx3BHwDEd+bnZrGn157JwD/tnc3w3L8zaIzGgiwb6yerGzVJoyZeQmNJ+f2j3BVb3AJ85W2vQmNRYhkIUmZiAtN0zgwlpStP38YgIwr70IxRPctFmqFcc1yFEN0NWnJQjEZSbt7AwBDTx6e02dZ32knxboGf8cxOn/5lVnd+/HNt7IkPYsTfV4ePfTyHEUoEuVQ5yn6UUj3D1N82wcTHQ4m62puTM8A4OWjzQmORojkIEmZiIuz/d10Dw+SohhYcSRYT5Zx5T1Rj7eQO/lPxlwRXMIcch1GC8zuAPHZMJgzWfrQfwHQ9buv4zsVeZuLDFMqf3tDBQD/vm83PbNsRiuS24t7nwDgqsFOsq95W4KjCbp5c7BP3quD/QSkT54QkpSJ+DjgDS5DbMgtIHDkeQAyrrw76vEWw87L8cy3rUfJMBE438fIq3N7CHPWje8OFv2P+jn/gz+d1bmYH9hUyobcJXT5BvjWa8/MWYxi/r10LHj4eEnechRjSoKjCbrptg+QEhjFm5LG0QO7Ex2OEAmXlEmZx+OhpqaGuro66urqqK+vn9X99fX12O32OYpOTEZfurwiJSXYn8yyAtOKK6IaK9A/jP9oB7B4kjLFnBIq+B/6zRtz/rylH/5PlLQsho68QPezOyO+L8Vg5Aulbwdg54Hnpdv6IuHvuYB7bFPtbdfNbwf/6WRk5LJZCf7S8ELzLxMcjRCJl3RJmcfjoaSkBIfDwfbt29m+fTutra3U1dXNeF9NTQ01NTWSkCWAXuRf1BssJM648p7o+5PtPQ0aGFflYlySFbcYEy39nVcBMPjEm2gjc9t2wpS/hoIHgzVlFx7bzkhH5F3TK9ZcyS3LC/GN+vlK82/nKkQxj9544f9oT8vBqAW47aq7Eh1OmNIVwXrLlvPHCAwPJjgaIRIr6ZIyh8NBdXU1Fosl9NqOHTtmTLRsNhtOpxOn04nNZpvjKMWlQkX+p4NLJBlXRb90OdxyCgBT6erYA0siqbeuw5CfgdY1yPCLc3+0jOXePyNt4+1oQ32c/5/qiHuXKYrCl256FwZF4Zdt+3nx7Nyc2ynmzx9efwqAa8xpZJhSExxNuFs3B0+U2J+5lP69MlsmLm9Jl5Tt2rWLoqKisNf0BM3lciUgIjGTvhEfx3uDZy6uiUORv56UpZYsrqRMSTGQdn+wg/rgr2fXdT+q5xkMLP/kd1FMaQwccNHz3Pcivvfq/JV85IqbAfjHl38lDWUXMN+p12nxB5cI31J4Y4KjmeiWFcFfoj1ZSzjx4o8SHI0QiZVUSZmqqqiqOulMl8Viwe12JyAqMZM3xmbJlqWYyB3ux7RsA6aCdVGNpQ37QzsvF1tSBpD2ruAS5pDrCIHuud/dmLp8E/nvD56H2f7jv2W4PfKD0T93YwUWcwZvdp3jB2++NFchijnW8/z/8mpu8N/SbeuuTnA0E+WnZbEpywLAS2eO4FfPJTYgIRIoqZIyj2fqHxhWq5XOzs64P9Pn89HT0xP2IWZHX7rcONIPQOZ1D0Q91sjr52B4FEN+Bsb1iW1uORdM1y4nZVMB+PzzMlsGkHffX5F+xR1oQ32cq/8oWoSNYfPSMrEXB1sn1LX8Xor+FyBt1M+hll9wLt1CCgqlS6P7ZWmu3bo6OIP8as4qel/6cYKjESJxkiopm4mqqnEfs7a2ltzc3NDHmjVr4v6MxU4v8l/fHmyMmnn926Mea7gl2PHeVLwq6o0CyUxRFNKrrgdgsOHVWZ1RGfUzDUaWb/t/GNJzGTr6R7y/ro343g9fcROlS9fR7x/miy89Pi/xivgZONDEXkMaANcVrCLTZE5wRJO7ZXlwdeRVyxq6X/jfBEcjROIkVVI2vrj/Ul6vd06euWPHDrq7u0MfJ0+enJPnLGavj51bZ+v0oKRmkL7pjqjHGlmk9WTjpb/rKjCn4D/cEVqqnWumgnUs/eg3Aeh8/F8YPPx8RPcZFAOO296PyWDkyZNv8NvjkTejFYkXXLoM/qJ569gux2R0y/JCADyZS+g4exjfiVcTHJEQiZFUSZnVagUmnxFTVXXapC1aZrOZnJycsA8RuUH/SGimbHPPWTKuvBtDalpUY2mjAYb3BhO8xZyUGXLSSHt7sIfbwKPzVyeZc+uHyL7tIxAY5cy3Poi/50JE912Rtyx0LuYXX3oc71D/XIYp4mS0X6XP/TivWvSkLHl3pS9Jz2ZD7hI0ReG13NUyWyYuW0mVlFksFiwWy5SzYhUVFfMckZjJ/o5T+LUA+aPDLPP1xLR06T/SgdbrQ8kwkXLF0jhGmXwyP1ICwNDv3mT07PzVMS776H+TumIzo+oZztU/hBbhrsq/uO5uNlmWcmGwj7//4+NzHKWIh949uziVks7ZdAsmg5GyJK0n0906toS5z7KG3j/+KOLaRyEWk6RKygC2bNlCa2t4XyR9A0B5eXkiQhLTaLlwAoAru46jAJnXxlJPNtaf7MZVKClJ960ZV6arlpF681oY1ej/Ycu8PdeQlsWKP9+FkprOwOtNdD7+LxHdl5Zi4j/eugWjYuBXx/bzuEeWl5Jdz/M/ZI81uCxYunRd0taT6UJ1ZdZCRnva6X/t9wmOSIj5l3Q/+ex2O42NjWGv6U1hdaqqUlFRMWWLDL21hph7Le3BJqhXdZ8mdeVVmJasj3qsy6GebLzMj5cBMNiwn0DP/B3+bV51Ncs+9m0AvI//C73NP4vovusKVvOX1webAn/hj7/gTH/3nMUoYuM7fYChoy+GkrI7V21KcEQzu21sefVoRj5dpgx6XvxhgiMSYv4lXVJms9loaGgIJWd1dXXk5+dTXV0dusbr9dLc3By2zKmqKna7nZqaGjweD7t27QqdnynmhqZpuMdmyq7pOUPm9dG3wtA0bdE2jZ1K6lsLSdlQgNY/TP8Pmuf12Tm3P4TlbX8FwLmdH8d38rWI7vvL6+/h+oLVdA8P8hfP/liayiap7md2MqIYeHUsKbtr1cYERzSzJenZXG0NnnXbkreOfvcvGe3vSnBUQsyvlEQHMJni4mKKi4unfN9ms9HVFf6P1WKx4HA4AMJm1cTcOdnXxYXBPlICo2zqPUdW2YNRjzV6UiVwoR9SDJiuXR7HKJOXYlDI+ovbUf/qcQZ+0Ezmh4sxWDPm7flLttYxfOp1Bg7u5vR/vIe1//AiKZbp/+xNBiPfvPMD3P/4f/Hy+WP856tP8bc3Sq1nMgkMD9Lzwg85kLOKAcVAQVoWV40lO8nujpWbOOA9S8vqGylvf4PeV3Zhubsm0WEJMW+SbqZMLBwt7cFZsg1958nIW0laYVnUY4X6k127HCXNFJf4FgJz+UZSrl6GNjBC38757ZqvGFNY8ac/xrRsA/7O45z+j3cT8M28s7Iwp4CHb3s/AP/56lM8f+boXIcqZqH3lV0EBlRaVgX74d2xaiMGZWH8r16f0WvOXUMA6H428qPBhFgMFsa/VJGUWi6M1ZP1nCGr7MGYmr0OvxQcK7VsbVxiWygURSH7r98KwMD/7cV/tGNen2/MymfVZ3+DISsf37EWzn7rgxHtentf0Q1s3VhKQNP4zDM/4lSfLDMli+5nvgtAy/LgkUoLoZ5MV7psPekpJjoDAdpyVuE71sKQZ0+iwxJi3khSJqLWcj6YSF3dc4bs0uiXLjVNu5iU3Zrc2/bngvn2Qsx3bwB/gO5/cc171/zUZRtY9dePo5jS6H/1N5z//qfQAoEZ7/vKLe/h2vxVdPkG2PbUowz6R+YhWjEd38nXGDr6Il5zNm+OBv8O71yZ/PVkOrMxhduWFwGw/9p3AqA+LeUo4vIhSZmISv+IL3QQ+bWMklZ0S9RjjbZ2BuvJzCmk3rAy9LrP5+e1/Wd5/rk29rpPo6qDMcedrHK+cA+kpTCy5ySDP42s6D6e0jfcyorP/AgMRnpe+CHt//dXMyaH6Skmdt7zEazmTF7rPM3nXvipHMOUYF1N3wDAfWNwefm6/FUUpGclMqRZu1NfwswP7sbsffknjParCYxIiPkjSZmIykvn2vCjsWJQpei6+1EM0X8r+V4K1qallqxCMacQCGg81XSEr/6zix/+Twu//PkBfvzDvdR+eTe7fryPvl5fvL6MpGFclUv2n90OQG/tU/g9nfMeQ1bxe1j+qe+DotC9+1t0PGafMclanZXHt+/6ICmKgV949vHv+3bPU7TiUqO9HfT+8f8AeGFs6fLt665JZEhRuWtsubWltwv/muvRhgelPYa4bEhSJqLyzImDAJR2HSP7puiXLgGG/zi2dHnLOnw+P99zvszvfnuIoSE/1vwMrr1uOavX5KJp0PzKKf7z63/gxPHFV8OU8fFSUm9ZizY4gvq3vyIwMDzvMeTc9hGWPhQ8I7Prd1/nwo8+O2NidvvKDXz11vcC8G/7XPy0de9chykmoT6zE21kiJH1ZbzYHWwX9PZ1Vyc4qtkrzClgXbaV4cAoB8o+BED3U9+RWVhxWZCkTETl2WPBju43jQ6SvvEtUY+j+QMM7wnOlBnK1vA/393DkcMdpKYa2fLB69n+hbt56E9K+cvPvpU//+vbWbo0i+7uIeq/9RLHPHNzSH2iKEYDuY53YLBm4D90ge7P/grNP3NtV7xZ7vk0Sz/2LQDUpv+i/X//bMbjmD58xU18+prgQfR/+4cGnj51aM7jFBdp/hG6nwo2BH715g8zEhhlY+5SNlgW3nFliqJw/9pgMvlM5lKUtCyGz77JgHT4F5cBScrErJ3pU/EM+zBoAe665p6Yli5HXj2D1jcMuWk8vv8cnqOdmM0pVP/pLZTetAaD4eKOzrXr8vjzv3kLGzYWMDw8yvfqX+H8ud54fElJw7gkC8s33wvmFHzPeej++ycSk5jdXcOyT+wMLmU+7eTstz5IYHj6Uwe+UHo/7ym8Hr8WoPrpR0OnPYi519v8U/xdpzHmLOPp1FxgYc6S6R5YH1x2fepsK+lv/SQAXb//t0SGJMS8kKRMzNrTh4P9tDb3nmP1Wz8W01i+54Lnmr5xWyF73WcwGBQ+9slS1q7Lm/T6tLQUPv6pMgqLrPh8fn7w/WYGBxfXrr/UG1Zh+fq7wKgw9KuDqH/1C7QEfI25d3yCFZ/5EUpKKn3NP+X01x+YtsO6QTHw72+t4s5Vmxj0j/DRpv/htY7T8xjx5UnTNLp++68AmO+u4ZkzR4CFWU+mu3HJGpalZ9M74uONG94LioGBA7vxndyf6NCEmFOSlIlZe+qN5wG4xUhMZ10C+P7QhppuwkVwRuz+d2xmw8aCae9JTTXy0MdLsFjS6LjQz08e3UsgsLjqTdLu2YDlP98bnDF7upXODzyakOL/7Ju2BPuYpWUzeOhZTnz5VobPvDnl9anGFHbe/RFKl66je3iID/z+u7zeKYnZXOp/9Tf4TuxDScvi1avexqB/hNVZFq7JXznzzUnKoBi4f2ym70n1Almlwd2kXb//jwRGJcTck6RMzMroqJ+XBoJd3+/efFtsY53vZeTNdpquWcFIQMO2IZ877rJFdG9WlpmPfqKUlBQDbxxsZ/eTR2KKJRml3bMB63erMORn4D/SQUfl/9LnfAlteObmrvGUcdU9rPn750jJX8fI+SOc+Jfb6Hv1t1Nfb0rlhxV/QvGStXQPD/KB33+P/R2n5jHiy4emaXh/+TUALPd8hp+fCp6u8MC6a2Jq5pwM9Jm+3x8/SM7b/hqAnj/+CL96NoFRCTG3JCkTs7Kn+XG6U8xkjA5z2+0fimks3/NtHF6WzUlrJqZUI1VbrwurIZvJ6jUW3l91LQCuJw/jaZ3/maS5llqymvyffSzYVHfIT99//oGO9/0A3x/nt17LvOY61v7TS6RveiuBwW7O/Pu7uNDwhSm7/2enpvHo2z7BjUvWoPoG2PK7nfzxnGdeY74cDBzczZDnZZTUdAJ31eA6+QYAWzaWJjiy2N28vBCLOQOvr5/9WUtJ23g7jI7gfeKRRIcmxJyRpEzMyi9bfgPArSlGzOk5MY3V/5yHP2wK7g67654i8gsyZz1G6U1rKClbjabBTx7dy0AC2kjMNeOSLPK+WxXcmZmfwWibl65P7qLrL3+Bfx5bg6TkLGX19iex3PtnAHT9xsEpx72MXGib9Pqc1DR+9LZPcutyG30jPj7y5Pd54vjr8xbvYhecJfsqALl3buOXF07h1wJcX7CazXnTHyy/EJgMRu5bexUAP23dS/67/x4Itsfwq+cSGZoQc0aSMhGxodMHaSIVgPfeUBHTWNrgCC8dU+nJSCUnw8SdES5bTuY977+G/IIMVHWIn+56bVH2M1IUhfR3XUXBbz5JxoeLwaDgcx2h413fp8fxNIGe6XdGxi2OlFSWPvRfrPjTnwTrzA4/z7F/uIHu574/6Z97dmoa/1vxJ1SsuRLfqJ9tTz3KN/c/vSj/juZb/6u/ZfDQcygpZiz3f5afHG4GYOsimCXTbdlQAsCv2vajXXEnaUW3oI0M4X3iXxMcmRBzQ5IyEbEXn/xvzqZbSNcC3Hf1XTGN1fnUUV5eE9xhef97riLVnBL1WGlpKXzooWIMBoXXXj3LnpdPxhRbMjPkpJHz9/eS//OPk/qWQvAHGPhBMxfu/y79/+eet/YZ2TdVsfbLbtI23o421Mf572/j9CP3MXx2Yn8y/Timj22+FYCHW37PXz73GENyVmbUtFE/Hbs+D4DlbX/JG5rCIfU8ZmMK7y68LsHRxc9Ny9azPjufAf8wvzn+Ovnv/UdAZsvE4iVJmYjIaG8HvzoTLCK+Z8lqMkypMY3neqqVYZOR5SkKxaWrY45vzVoL9z1wBQCP//wA7e19MY+ZzEwbC7DWV5LnrCSlKB9NHaT3q7vp/MCjjBw8Py8xpC61sWbH0xRU1aKkmBk4sJtjX7yejp/+AwHfQNi1KQYjX731PXzt1vdiVAz83LOPqt/Vc36gZ15iXWy6//B9hs8cxJCVj/Udn+fHh/cAcP+6q7GYMxIcXfwoisIHNgVn/nYdaSbjmrddnC37zcMJjk6I+JOkTESks+mbPGMtAuC9194T01hnT6jsHQ0uX73jnqJZFfdP5867i9iwMZ+R4VF+9L9u/P7pu9AvBua3FpL/84+T84/lKDlp+A+ep3PrD+l95Jl56W2mGIxY37GddV97jYzr7g8WYv/qaxz7+2vp2/vLCcuUH918Cz962yfITU1n74WTPPCrb/LCWLIvIhMY7KXzZ/8MQP57/gHVmELjUTcAH9pYlsDI5saDRcUYFIWXzx+jraeD/Pd/CQD1qW9P255FiIVIkjIxo9HeDl548SdcSMshy2Dg7tVXxDTer3+0D01R2Ng1wKb7YhtrPINBYeuHbiAj08SZ0z387jeXx1E/SoqBjA/cSMGvP0Ha2zfDqEb/9/fQ8f4fMLxvfnqEpS4tYtXf/JoVf9FIinU1/o5jnPnP93Hya3cy8OazYdfevnIDv3rnn7EhdwnnB3rY+vvv8i+v/AbfFDs5RbiOn/0joz3nMS3bgOXuGr5/8EWGRke4vmA1t60oSnR4cbciMzd0SPmPDzeTeXU5mde/A0b9XPjJ3yU4OiHiS5IyMSPvbxz8Pq8QgPsLryctxRT1WIfeaOfI+T4MAY2K9RaUOM2S6XIt6VRtvR6A557xsNd9+TQuNRZkYvn6u7B86/0YlmUxerwL70d+TO+/PTcvvc0URSG75H2s/9oB8h7YjmJKY+jIC5x6+B5O/et9DHpeCV1ryy3gt+/6Cz686SYAnAf+wLt+/d8cVudn6XWhGjz6EqrrGwAs/ch/0a9p/L83/gjAn15754LvTTYV/fvkR4dfpnd4iCUffASMJvr3P0H//icSHJ0Q8SNJmZjWiPcUJ575Lk3LglvTP7Ap+uWR0dEAv/7FAQBuPOFl5fvm5hiYq69dzp13B3dzNvz4VU7MY9uIZJB2VxEFj/8Jae++CgIa/d99mc6tjzLyZvu8PN+QlsWSLbWsrztM7j2fBqOJgQMuTn75Vk7/2zsZeOMZNE0jw5SK4/b38717HsJqzuSg9yxv/+U3+O/9zzAss2YTBEZ8nP/+NtA0cm5/iMxr7+NHh16he3gQW05B6BDvxahi7ZUU5S6he3iI/zv0CqnLN5FX8RcAtP/obwmM+BIcoRDxoWiyNz1MT08Pubm5dHd3k5MTWx+uxeDc96txtr3GTtudXGNdyRPv/ouofxt/6cXj/KzhNdKG/Ww73snqX31izn6zDwQ0fvC9PbxxsJ3sbDN/8dm3YLGkz3oc/+gw3UPtqAPnGBjpYWR0iGH/EMOjQwz7BzEoBlKMqRgNJkyGVFKMqWSYcslOyyfLbCXLbMVoiH5naayGXIfp+ecmAt4BSDGQ9We3k/nJm1BS5u/3sZELbXQ+/i/0vPBD0IK7Q83rism7/2/ILqtCSTHRPtDLZ59v4JnThwGw5RTwL7e8mzvHlq0EdDR+Ee+vazHmLGX9115nyJzFHT/7OucHevjX2x/kgzH8wrQQPHakmb99vpFl6dm8WGUnxdfPsc9fyWjPeazv/DwFlV9NdIhCTDDbnEKSsktIUnbR4NGXaPvaHXy47FNcSMvh399SRdXGkqjGGhoawfHVp+nvG+buN87x1vdeTdanb41zxJc+08+3/usFzp3tZenSLGr+/Fays80TrhsZHeJ8Txtnug9zpucwZ7uP0NF3ku7B8/T6Yj8lIDPVgjVjJflZa8jPXE1B5hoKstayImcD+ZmrMRiMMT9jOqOd/fR8qQmfK3gUlem6FeTWPkBKoXVOn3up4XNH6HryP+h5/gdow4MApFjXYLnn0+S85eMYc5fx01Y3X21+gguDwd2zb193Nf900ztZnTX5AfWXi/79T3D6394JwIo//QnZN1XxcMvv+Ob+Z1ibZeXp938WszFxyf98GB71c1tjHecGeqi7/f18aNNN9Lb8nLPfqATFwJovPk960c2JDlOIMJKUxUiSsiDNP8zxfyrlyWE/X77q3RSkZfHyls9H/T/+3/zyIM8+7SGv38dHX/Cw/MlqjKty4xz1RF3eAb79jRdR1SGWLs3iE9VlDJvO4elwhz7O9BxG06bu75ViSCU3fSkZqbmYUzIwGdNINaaTakxDQ8MfGMY/6sMfGGFk1MfAsEqvz0u/rwuN6f95mYxpLM8pYkXORlbmbmJF7kZW5G5kSebauCZrmqYx9KuD9Hx1N1qvD9JSyP6bO8j4cHHc6/pmMtrbgfrUd1B3/zejPWNLqsYUsm58N7l3VePfcDv//upu/ueNPzKqBUg1GPngpjL+7Nq7WJllmddYk8HIhWMc/+cyAv1ecu/5NMs++t94ui9w7y/+g5HAKN+/96O8bazz/WK388Af+NIrv2FdtpWn3hdMRM86H6L3jz8idcVm1n6pGUPq7GfEhZgrkpTFSJKyoM7Hv8KFn/8Tf1b6JxzKLOCvb7iXv7sxui7+Z8/08J9f/wOBgMZ73SfZvHkJVmdlnCOenKZpHDp2iB997xBD/UY0Uy/9Rd9lNCe8DUO6KYeVuRtZkbuJlbmbWJq9Hkv6cvIylpOZmhfVMmsgMEr/sErPUAfe/lN09J+ks/8UHX0nudB3nHM9HvyByWthzCkZrLZcxZq8q1lrvYa1eVezImcjKcbY+sONnuul+4tPMPxi8OzM1JvXkvuV++clQb5UYHiI3pd/Qvez32Xo6B9Dr5uWFJJ920c4c80DfOXoPl4cOzPTZDCydWMpf37dXZfNzFlgqI+TD9+D71gL5sIy1nzhWZSUVB5q+h+eOX2Yu1Zt4ocVf7JoC/wv1T/i446fPsL5wV7sxffxF9ffzWifl2N/fy2j3efIeeufsOwTOy+bPw+R/CQpi5EkZeA7uZ8TX7qZJ60bqL3yHWSZzDz/4OcoSM+a9ViBgMZ3vvkix9q62NDZx7ubT5JXX4n5LYVzEHnQ0EgfB84+y+tnnuaN8y/QNXAGZdhC5qE/xTi4Co0AGbYDXH0zbFxxI+vzb8CSvmze/0ceCIzS0X+SM93BJdMz3Yc523OEcz1HGRmdmKylGFJZmbtpLEm7hjV5V7PaciWpKbObGdA0jcHH9tH7r8+iDY6gZKaS/fl7SH//NQn7YeY7uZ/uZ75Lz4uPEhjsDr1uLrqFQ8WV1GupvHQheFJDimLgHeuv5UNX3MRty22L9gdwYHiI0//+TgbfeBpDVj7r/nkPpoJ1/PjwHj73wk8xGYzsfu9fY8tdkuhQ59XPWvfyl889RprRxLPv/1tWZVnof72J019/ALQASx/6JpZ7P5PoMIUAJCmL2eWelI32d3Hin2+it/MEH7/9z2k3mPh8yf38+XV3RTXeKy+doPGx/aQaFD729GEsK3Io+NUn4r5k5u0/w/4zLl495eJw+x/xBy4eTJ5iSKWooISN+Xdw3n0Fh18L1jNlZ5u5424bpTetITMzthmoeAoERjnX28oJ7+uc7DrAia7XOdl1kMGRid3vFcXA8uwi1lqDSVowWbuKjNSZZ778x7vo/vsnGBlrG2IqWU3OjnswXbUs7l9TpAK+Afpafk7Pi48ycMAV2hiAwciha9/JD5Zdx0u+i+d8FuYU8KFNZVRtKInql4ZkpflHOPONB+l/9TcoaVms2e4izVbGax2nee9vv41v1M/nS+7jz6+7O9GhzjtN03jwCSevnD/GO9dfy3fu/jAA3t/+a/DoKWMKq7c3kXHFHQmOVAhJymJ2OSdlWiDA6f94FwP7f8ejV76d7y+9htVZFp55399G1Zust9fH1x9+hoGBEe46rVL8+lly/qGcjA/eGHusmsaJrtd59XQT+0+7ONl1IOz9pVnruW5VOVevuJMNS8rCZpMOvH6OX/78AF3eYHJmNCqsWZtH0YZ81q6zkF+QSZ41HZNpbgvwZ0PTNDr6T3Ky63VOeF/nRNfrnPAeoNfXMen1BVlrQ7Npa/OCy5856RNnVLTRAAP/r5ne/34BhvygQHrldWT95Vsw5mfO9Zc1Lb96jt6Xf0LPi4/iO7439PqRrKX87oq38WT2SvrH/vdlUBRuXlbI/euu5u1rr17QtWej/V2c+eYWBt94CsWUxqq//S0Zm++kyzfAA7/8Bif7uihfs5nv3/tRDMrl2dXooPcM9//yGwQ0jW/e+QHea7sBTdM49+0P0fvKLgzpuay2u0hbX5zoUMVlTpKyGF2uSZmmaXQ8tp2u3/0bx3NW8JmSjzEUGOVbd36Qd9uuj2q8/9m5hzffaGd5egofePw1UpZls+SJT6FEefj4yOgQb55/kf2nd7P/tAt18OKBxAoKtoISrl9VwfWry1mWXTTtspbfH6Cl+RQvvXCc06e6J70mPcNEZmYqWVlmsrJSycwK/nfmuP+2WtPJs2bE7aio2dA0je7B9rGZtNc50XWAk10H6Ow/Nen1lvRlrBlL0PSZNWvGKhRFYfRsD/+/vbsPbuO8Dzz+3cUrAZJYgm+yZEk2aFl+ie2YlJLYrd1JAsZu0yZzHVK6pFd34sREb9r0OukNOZy7juO7m9FQSeaS5i45UUnm7ppLI5FpEjuT1ibtNG92XIm0ZcuxJAuwbIt6IwkuXwAQb7v3BwiIIEGRBCkJAn+fmR0Au/ss9odnSfzw7LPPTn/l58z+NHPbGqXChutPW3B/Zjeqx3ktwyoocSnIzNCPmBn6Ya7/WUy18ULDHfx0+wO86cxvGbyv7mYe3ryDBzb52NWwfc33ar1WEhfeYuSrnyR54SSKw83mv+zDfc8jhGcjfPrZb3M8fI5tlV5++om/LKt7XBbjS8PP8bVjL+Cy2vnJH/0Ft2uNGPEIZ7/8+8y+9WtUt5etXYM4tq3+/5cQ60WSsjXaiEmZaZqM/+BvCf9kHzHVxl99tItgIs5Dm2/jex/7bFF9dn758xDP/Oi3WK0qf/LKe9Sem6L6vzyCq+3eVW1nMnaJ4+d+xmvnnufNC78knrp8o2uH1cVdmx7mvi2tvG/zh6ly1q56PwHGxyIET48TPD3OhfNThMdjxOMrH7zUbrfQuKmK7bfU4GvycovPS2Xl4qE3rpWZ+MS8055v8G74DS5NhwpeCeq2a5db1LzvY+s7m7B+/QSpNzIj6ytVDtyPteD69P2oNaWRBCQnRogM/ZjpoR8SO/lzMNKcd3r4Vd0OflV/B8erNmHOO2atisr767fygcZbuLd2C/fUbWFbpbek+qKZhoH+/DcY6+vGTESxerey5a9/jGPbfVyMTvGpZ7/FKf0Sdc5Kvv/o57ijZtP13uXrLm0Y/Mlz3+FX509zm6eeZ/7wL6iyO0nHphj50qPMhl5Graxl8+d/gGvnQ9d7d8UGJUnZGm20pMw0Tcb/8UnCz2QGXvzq7z/J09EoDRVVPPvJv6K+omrV2wyeHufgN3+DYZg8Umnj7h+8huWWGuqefnzZQUtN0+S9iTd4/dzzvHbuBc6Mv5q3XKto5N4trdy3xc/OxgewWda/Fcc0TWLRJNMzcWamE0Rm4kQiiczzSJyZmQQzMwki03HGx6OkUouH02hsrOS22+u4/Y56mppqsRfZOrheZpMRzuq/nUvSMsnayOQpDHNx8umwuPjQuw+w+7kdVJ2d22+nBde/uQfXY7uwbi+dKx/T02NEjj9H5PVniR5/jvTUJcI2Fy97fRzTtvJqzS1ccizua+axV3BP7RZu1xrYoTVwm9bADk8DtU73NU/Woid/wVjff2L29IsAVOz8PW769/8Pq3YTz737Wzp//Y+Mzc7Q6Krm0COf4zat4ZruXykbi83w6NN/x4XoFC312/j7jz1Otd1JOqJz9suPEn/7CFhsND72P/H83mev9+6KDUiSsjXaSEmZMTvDhW89zszRH2AC/R9/im/OzKAqCocefYIHNvlWvc0L56f55v94kVg0yX23aHzkwEsoQM3BNhy/U/iKy+nZcU5cfJETF3/N8XM/yzstCbDdey/3bP4o9275KNtqrt8VgoWk0wbj41FGzk5yJhTm7VCYC+en89axWFRu9dVw+856br+jgZs2V5VEDMl0nPOTp+b6p2VOf57V3ySZznSkV0y467e38bsvNrP5QiYRMBUT/W6D+B80oD1yPzfV78RhLY0WNNMwiL/7KtHjzxE98S/E3noRIx7hgtPDq56tnKi+iVNVmwhVNpBcoi+W5nCxw1PPbVoD26tq2VZZw7YqL9urvGgO17rVm5GME3ntp+iD3yD25gsAKA439Xt68Hw4wFtTo3zt2Av8OHQMgJ1aI9/xP8b2quJag8vZ62Mj/Ntnv8VkIsZ9dTfz3Y89To3DhRGPcuFbn2HmSD8AVQ/+Oxo+/d+xVF7bQZPFxiZJ2RptlKRs9p1XuND7ZyRG3sC02Pjex7/Ityd1AL74gT/kc3f/7qq3eeniDL3ffImpyTjbtlTzx8+dRD2rU9F+L56nHrn83skZ3rr0Mm9e/DUnL77IWf3NvO3YLRXcuekh7t3yEe7Z/BE8FdfvasBiRCIJQqfHOXVylFMnRpmYiOUtr6xycPvOTCva7bfXU1ngLgPXS9pIcWk6c3eDEf0EI5MnGZk4QeUbaR586f3cfvqW3LqRihhv3hlk5P5pUvd7aNB8NFb7aKzKTJ6KhuuafJqpJLPvvkLsxC+Infols6EjpKcuklRUzrjrOF3ZwBlXHe+6vLxb1cgFmzvvtOdCVTYH26q8c1MtWytruMlVzSa3h02uauqclVjUwsmeaZqk9HPE3vwXom++wMzw0xiRcGahxYbn4ceh9a/5RWSan5x5nefPzvXtQ+HP3/cw/7G5texH7F+LN8bP8alnv004HmGLW+NrD+/hQ5t8mKZJ+On/xviPngLTxOLZRP2nvkLVB/agLFFXQqynskjKQqEQPT09NDU1AaBpGh0dHVet3HzlnpSlY1OM//CL6ANfB9Mg6t3KgY/8Dc+MZoZFKDYhezsU5v985wjRSJLGhkr2vjaC9dg5LDd7sHz3Uc7EjxMaGyY4NsSZ8dcWnTa7WbuTnY0Pctemh67aacnrwTRNxkYjnDoxysmTowRPj5NMpPPW2byleq4VrZ6t2zQc1/lUZyHxVJTzk29x8cRx+Mk71P/cxKVf7jwfdc7y1o4zhG49S+iWs0x5ZnBY3TRW3TovUbuVWvfNeN0346louOZXDpqmSSp8ltm3jzD79lHiZ4aIj/yWtH4OgFnVynsuL++6anmvwst5p4fzFR7Ou7yM25ZvDbQCdRYLDRYLdQpUpZNUJmZwRcJUTJxFic9gouR69sUra5nZ+n7G6nycjEzyznQ4ty0FhUe338Xn7/0w99bdfBU+jfJzcuIijz//f3lnehwFhc/e9SCfv+/D1DoriZ1+iYvf/hyJ85lk1771Xmo/+bdU3v8JFEl2xVV0wydloVCIlpYW3n77bTRNA6Crq4va2lo6OzvXvdxC5ZqUpaYuoQ98Hf35b2BEdUzg9Q89xpe02xiJTaMqCv/1g5/gz+5c3f0o02mDn/8sxHP/dBLDMLlpk5M/eDWI59gUCXeafwgMEnK/tahcXeU27mj8He5o/B12Nj5AtbNunSItbalUmjNvT3DqxCinTo5ybiR/7DFFgbp6N5u3eNiypZr6xkrq6t3U1rqwWktoiI60QeLld5n+6WskXgih6sm85eNenXM3XeL8plHObxplvFZnqiqCqWb+3VhUG17XZrzuLdTNJWq17pupdW+hxrUZj7N+1YPiFisdmSAx8gbxs8dJXjxNYjREcvRtkqMhzNnMPTjjqpULzmrOOzXOOT2cr9C44PQwZq9kzFHJhN2NsQ5J5t3em/jYtrv45K33XfW+Y4aRJpacJpqcIpGKkUhFSaRjmefpWeJzrw0j8yPCxCTzdWHmLhpRFcvcbcec2CyOuUcnNqsTh8WFy149d3uya9NXbyYZ58mXn+bQW0MAVFht/OnOD9J+2y52VmpM/NOXmfjnr2DEMn931potVD/0Gao+uAf75rtKoluBKC83fFIWCATQNI2enp7cPF3Xqamp4Uq7Wmy5hcopKUtHJoi8/izTL3+fyGv/DOkkCcXC0G0PcWjHR3gtkun7tL3Ky989vJeWhu0r2m4yHWd0+l2GXgky/MsYkYnMGGYVzpP88S8naQxXEbcn+PtPP817Wy+gKCo3e+7g1rpmfLX3s6PhA9RVbrtqcd9IpqfjvHUyk6AF3xpncnK24HqKAjU1Lurq3Wg1Tqo9Tjye7GMFHo8Tl9t2Xb5UzLRBcniE+K/PkPjNOySPXwBj8d9c2mIwrUXR3VNEK2LEXLNEK2aJzU3Rilki7hgRV4yIO4bituNxNVDtrKe6oh6PswFPRX3mtbOeSocXt0PDbffgtFWte8ubaZqkp8dI6+dITV0kPXmB1OQl0lMXMeIRjHgEMx7BSERJphJM2NyM2l2MWSuYsDqYsVUw46giYncxY3ejVFSjqBYUMi1hTquV+ooqGl3V3KE1cqf3JrzO1Y0NZ5hGJrFKTOZNkdyjvmhZdvlscnrZe7OuF1Wx4rZ7cM1NmecalQ4vlY6aucmLe26e21FDpUMrusX8Z2dP8uVXBjg2dnl4mJ1aIw9tvo1dnnq2vvYMFb84CDPjueW2+ltx3d1KxY4HcPo+iK3eh1LE+IxCzHfDJ2U1NTX09PQsOu2oKAoDAwP4/f51LbfQjZiUZb48RkmNvUN85Djxd14ldvol4u8MkzbhPZeXN6o3c/zm+3mxajPTc798nRYbj93xQb5wfytuq51ocoqZeJiZ2XGm4+HM83iYydgo4egI4alRJi4qJMa2YB/fhZrIdDpWlCj3XTjNh1+1oQCTtVGO/YdptLt3sN17D9u99+G0Xd+BSG8U09Nxzp2dZGRkivPnphgbjTA6OkMinl62rMWi4HJlxlBzuWy43Pb81y4bDoc1N9kdVhwOCw5n5rXVqq5LUmdMzZI8dp7kmxdJvXmJ5IlLpEcmocBVqleSsqSJuKNMV0aYrpqbKiNMVUVzz6erIsQqZlFUFZfNg9uh5b703fbMc6e1EofNhcPqxml147C5cVizrzOPdqsLq2rDarFjVW1YVPtVOb1qmiaGmSJlJEmlE3OtUVFmk1HiqQiJVJTZVJREKko8FWU2FWE2OZOfUCUvP48lptacWNktFXOfgRO7pQK7tWLuMdPqZVFsWFIK1oSKmlKxJhTUpIoloWBikjDjJImTMOMkzBizaoyYGiWqzjBJmLSZXH4nluCwuvKStUpHzVzClj+v0lGD2555tFmcKIqCaZq8cPYk3zv1r/zs7EkSRv7fUIXFxmaLBS0yhkcfoXZ2Ci0ZxZlO4kwnqTDTuCprqdIaqazZgttzEza3hsPtxV45NzmrsDlcWO0V2G0VWC0WbKq6YQf1FYvd0ElZtmWrUBJVU1NDd3d3wVORxZYr5GonZRen32Z6dgzTNDExMo+mkXdqwDANTAwwTQxM1JNHUMbfg1gE4hGIR1HiUZQZHWVyDHVyDCWdZMbi4PvbPsC43c24vZJLjmrOVWik1PzTXpWWNDtdk9zpGMFiThJPRYlEE6jTW8FwoKSdKGkHiuFASXiwR+uwRhtIG7XA5X829nSK+96dYHcojDNlYFoUKvbeS/XnHy6JAUfLhWmazEzHGRuNMDYWQddnmZqcZVKfZXIy8zwSSSy/oWWoqoLdbsFqVbFaVSxWFat14eu5yZI/T1UVVFVBURUsc49qblJRMFEiSZiaxYgkYDaJGctOKYglMs8jScxoAuaSUAWTbM5RKF1UTDBUg1lHnLQ1TcqSxrCkSVvSGKqBqRiAAYqBqZiZxwWvUdKYiplZd26+oZigqqCCaVXAomDOTYZqYFjBUM3MNgAFFcxMC5hiKpiGiWGkM3/TaTDTud1AMSwopopiqLlH1VQh+2jOLTcVFEMFVEwl8zGYChgKmIoyb56JqihYVBWracGGFSuWuecqFsOK1VQzk6FiNRUsaQWLqWBJg5o2UVImSjqNkjJQUgZm2oRUGtImzmgC71qOL4cFnFZMp4JhVzAcJim7ScqWImlNEbfFiVvizFpizCpRYkqMGDOkLClS1jQpa6YuVSPz2aqGimooWNIWHHE7joQ98xi344jbcMQdOBMOHAk79oQNW9zKjN3kpVuTvHJzkmNbUpzxpklexa5kimliMQ2smCimOdc6Ou/RzP4nNVEhNz/733XxsvlT/nqLl2em7HjWl9dRUJQF65CZoZBpwFBy751Zd9FzRZnbnoKqmFhQUBXmPYJFUS6/VpTMsUnmrhsWJfOeFiUzZZ/nls0dx5e3cXldi6rM/WhUUOaSXkVRMqcRFAUFBRQVq6Jwp2tB14fsj80lfnTaG5rYtu3q3JZrtTlFSfVwDIVCSy7zer2Mj48XXFZsOYB4PE48fvnmz5OTmdHdp6YW32dwPfzgX7/EkXeeWVWZjx8bxzdW+LRWlgmMuuC79QtuYRRPoTKLR5lAU8eoUy9Skx5DScLFeatZIltxn/hMwW0n5iaYxR1PslmPcutohFtHZ7AZJukGN+lH76biE3ejbq9hhgRMrT1JEPlq623U1msFl6VSaaan4kSjSWKxJNFIgmg0QTSSIhZLEIkmmI2lSMTTJBIp4vEU8USaRDydd+FBLFZw89eGA3DYwFsip4zm8jlWPo7w2qy1cWXhz+vs988auyJuH5vmj45lLoZAVVAcVhSnFexzGzZMSBuYhglpEzORhvmDL0fnpgJsc1NlpvIBbW07u0CCNAnSKCl48A148A0rYCWlmJz3GIxWGYRdBuMug7DbRK8widlM4laDmD1F3J4iZksza4OEBdIKpFQFQ1VIKwopxbLkFbtpsv83r0RZ4nkpMZd4XpoqUnH6fvO/VlVm6P072PvnR67K/mRziZW2f5VUUrYcXdfXvdy+fft46qmnFs3funVrUe91NfzvFa8Zg29/teCSkWXLngVeWvE75TkF/Ar4z8UVF0KUtr+53jsgxCq0rLbAP5yio8uz/HprMD09jcez/HuUVFKWvWqykHA4vOSyYssBdHd384UvfCH32jAMwuEwtbW1V+xfMzU1xdatW3nvvfdumL5n60nil/glfolf4pf4Jf4rx2+aJtPT02zevHlF2y6ppMzrzYy0XKhlS9f1JZOvYssBOBwOHI78wTuvtP5C1dXVG/KgzJL4JX6JX+LfqCR+iX8l8a+khSyrpC4R0TQNTdOWbN1qbW1d13JCCCGEEKWipJIygD179hAMBvPmZTvyX2lYi2LLCSGEEEKUgpJLyrq6uujv78+bd+DAAQ4cOJB7res6ra2tDA8Pr6rcenI4HDz55JOLTn1uFBK/xC/xS/wSv8S/EV3N+EtqnLKs4eFhDh06xO7du3OtXfPHGcveUqmvry+vFWy5ckIIIYQQpaokkzIhhBBCiI2m5E5fCiGEEEJsRJKUCSGEEEKUgJIap6zUhUIhenp6aGpqAjJDcSy8AXohLS0tdHd35/q/9fb2AqXb363YOIstV2o2Sj1fSW9vL8FgkJ6enhWtXy51n7Xa+Mup7gcHBxkYGEDXdUKhEO3t7Rvq77/Y+MvlGBgcHMxdRBcMBmlqalpRDOVU/8XEv271b4oVCQaDpqZp5sTERG5eZ2en2dPTs2xZ5u4bnJ06Ojqu4p6uTbFxruXzKSUbpZ4LCQaDZkdHh9nR0WFqmmZ2dnauuFy51H0x8ZvmjV/3WQMDA3n1NjExYfp8vmXjKZdjoNj4TbM8joGhoSGzr68vb95Gqv9i4zfN9at/6ei/QoFAAE3T8n4567pOTU3NsjcaDQQCtLRk7sbl9/vx+XxXdV/Xotg41/L5lJKNUs/LaWlpwe/3r6ilqFzqfr7VxA/lU/ft7e309fXlzevt7SUQCBAMBpeMq1yOgWLjh/I4BgKBAIODg3ljfgYCAXp7ezfM//9i4s+utx71L33KVujw4cO5Ztms7O2YBgcHr1i2qamJjo4OOjo6Sv4Ptdg41/L5lJKNUs/rqVzqfi3Kpe77+/vp6urKm7dr1y5gY/z9Fxs/lMcx0NraWtRg6+VS/8XGD+tX/5KUrYCu6+i6XvCD1jQtbxDbK21j/rnqUlRsnOvx+ZSCjVLP66lc6n49lEPdt7W1LfpyXU45HQPFxD/fjX4MtLW1LRpw/fDhw1dsMS63+l9t/POtR/1LUrYC2YFoC/F6vYyPj1+x/MDAAIODg7lfXAvvRlAqio1zrZ9Pqdgo9byeyqXu16pc6r6vr29R5+yjR48CS9+urpyOgWLizyqXYwAutxi2trbS19d3xc7q5VT/WauJP2u96l+uvlwHuq5fcfmBAwdyvyKam5sJBAK0t7cvuldnqVsuzvUuV2o2Sj2vp3Kp++WUc9339PTQ09NT9CmZG/0YWGn85XQMtLW10dbWlktO+vr6NlT9FxP/etW/tJStQPbceCHhcHjZ8gsrs7m5mVAoVHLn2ouNc62fT6nYKPW8nsql7teqXOu+vb0dv99/xZaCcj4GVhJ/VjkeA21tbfj9flpaWpZMrsq5/lcSf9Z61f+GSsqGh4dpaWlZ8ZRtevR6vUDhjF/X9SselF1dXYuaMLPbu1Kz7/VQbJxr+XxKyUap5/VULnW/FuVa9729vXi93kV9bBYq12NgpfFD+R4DkDkNp+t6btythcq1/rOWix/Wt/431OnL5uZmhoaGVl1O0zQ0TVsy629tbV2y7P79+2lqaqK5uTk3L7udUrtCp9g41/L5lJKNUs/rqVzqfi3Kse77+/vRdT0vIVnqC7Ycj4HVxA/lcwzU1NTQ3d2d1zKYTS6WOg1XTvVfTPywvvW/oVrK1mLPnj2LKiWbAV+pA2hPT8+ijqODg4Nomlb0pbdXU7FxFluu1GyUel5P5VL3xSq3uh8eHiYcDud9MWWvKltKOR0DxcRfDsdAtqVrYRKRrcfsGFyFlEP9ryX+da3/ooac3YCCwaDp8/ny5nV2dpoHDhzIvZ6YmDD9fr85NDSUmzcwMJA3QnB2hOiFowaXimLjXEm5G8FGqeflLDWKdTnX/Xyrib+c6j4YDJptbW1mX19f3tTR0ZGLuZyPgWLjL5djoLOz0wwGg3nz/H6/2dzcnHtdzvVfbPzrWf8yov8qDA8Pc+jQIXbv3p3Lnuf/mgqFQrS0tNDX15eXHWfvpZZdJxAIlPSvh2LjXK7cjWKj1PNCuq6zb9++XP8JTdPYs2dP3r3fyrnu1xL/jV73WTU1NUt2aM5+VZTzMbCW+MvlGOjt7WVoaAhN0wiFQvh8vrxxusq5/qH4+Ner/iUpE0IIIYQoAdKnTAghhBCiBEhSJoQQQghRAiQpE0IIIYQoAZKUCSGEEEKUAEnKhBBCCCFKgCRlQgghhBAlQJIyIYQQQogSIEmZEEIIIUQJkKRMCCGEEKIESFImhChpg4ODtLS0UFNTQ3t7+/XenRXTdZ2mpib2799/vXdFCHGDkKRMCFHS/H4/Q0ND+Hy+670rBXV1dRWcHw6HCYVCHDly5BrvkRDiRmW93jsghBAr4fV6r/cuFJS9+fJCPp8PubWwEGI1pKVMCCGK1N/fj67r13s3hBBlQpIyIYQoQigU4oknnrjeuyGEKCNy+lIIUXL2799PMBikqakJTdMK9icbHh7miSeeIBQK4fP5GBoauuL8wcFBurq6CIVCdHR0sHfvXgYHBxkYGCAQCNDW1gZkkq0DBw5QW1vL+Pg4AD09PXnv3d/fz6FDhwA4evRo7gIEn89HT08PoVCIQCDA0aNH8/ZhYYxZ4+PjNDU10dHRUTA+v9/PwYMH6e3tRdM0BgYGcu81X3bfm5qaci14wWCQQCBAc3PzyitACHF9mEIIUUKam5vNzs7OvHkDAwOmpmlmW1tbwfWbm5sXzff7/QXn+3w+s6Ojw+zp6cm9nr/djo6OvPU7OzsLbif7Hn6/f8lYltqH5uZms6+vb9H7FIov+x7Z/c3SNG3RvKU+h6GhoSX3UQhROuT0pRCiZGRbsha2APn9/iWvvlxqvqZpS65/+PDhXKvU0NAQfX19QKY1rbe3l8HBwdz63d3dDA8P09/fv9pwCu5bIBDA6/XmWuayenp6GBwcXPQ+mqYxODi4aP1du3blWusg07JWqH9bIBBY9X4LIa4PScqEECWjt7eXPXv2FFy21NWXq50PmWQpm7TNT958Pt+iBDC7fKmrLFert7d3yfHW/H7/oiE2vF5vwVO4hV6HQiFaW1vzksq2tjY5dSnEDUKSMiFESQiFQrkBV6+2pRI2n8+X66+l63peC1m2f9laDA8PX/H9vV5vweRvJcOBaJpGX18fR48epbW1FUVRaGlpyUvQhBClTZIyIcSGs9SpTch04m9tbWXfvn1ApqXpSuvPt9zwGOFweIV7mG+l79/W1sbExAQDAwN0dnai6/qiljMhROmSqy+FECUhezouGAyuy/aKSYB6e3vp6uoq+g4C2astlyq7a9cuYOlToeFwuOg7F2QTL7/fn5t6enpob2+nr68Pv99f1HaFENeOtJQJIUpGZ2fnkq064XB4yZaoQvOX6vh+JV1dXezZs2dRYjR/O/OHsljYgqXr+hVPNWqaRltbW14H/fn6+/uXvG3TSmQvWJgvEAgU3UInhLi2JCkTQpSMnp4eNE1bdAVib28voVCoYHLR3t6+qOWpv78fn8+3ZDKyVLJWqE9Xf38/fr+/YJnW1laOHj2aex0KhQomavMdPHgQXdfp7e3Nmx8IBPD7/XljlcHSyWih+dnPab6BgQH27t27qLwQovQopik3ZxNClJauri5qa2uBTAf7vXv30tXVlTs9ePDgwbwrCvfv38+RI0fYvXs3AM3NzfT19XH48GF8Ph/d3d34fD727duXS/ja2trYvXs3nZ2due3ous4TTzyR64uVXQ/IDcDa3d2dl3h1dXUxPDxMa2srzc3N+P1+QqEQXV1dDA4Oous6bW1tdHd35+1ztkWstraWYDBIS0tLXkJWaBuBQACfz5c33+/3EwgE0DSN4eFhNE3LS9Z8Pt+i4TSEEKVJkjIhhBBCiBIgpy+FEEIIIUqAJGVCCCGEECVAkjIhhBBCiBIgSZkQQgghRAmQpEwIIYQQogRIUiaEEEIIUQIkKRNCCCGEKAGSlAkhhBBClABJyoQQQgghSoAkZUIIIYQQJUCSMiGEEEKIEiBJmRBCCCFECZCkTAghhBCiBPx/0QCpSR95EecAAAAASUVORK5CYII=\n" 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\n" 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\n" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "outputs": [], "source": [ "for data_option in data.keys():\n", " title = f'KDE-plot'\n", @@ -475,7 +268,8 @@ "metadata": { "collapsed": false, "pycharm": { - "name": "#%% Histogram plotting for durations\n" + "name": "#%% Histogram plotting for durations\n", + "is_executing": true } } } diff --git a/notebooks/Study Plots.ipynb b/notebooks/Study Plots.ipynb index e5b1af3..c5903af 100644 --- a/notebooks/Study Plots.ipynb +++ b/notebooks/Study Plots.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "outputs": [], "source": [ "import pickle\n", @@ -22,15 +22,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 8, "outputs": [], "source": [ - "_ROOT = Path('..') / 'output' / 'study'\n", + "_ROOT = Path('..') / 'final'\n", "sr = 16000\n", "roots = [v.CCS_Root, v.PRIMATES_Root]\n", "ext = 'png'\n", "study_ext = '.pkl'\n", - "study_name = 'study_vit'" + "study_name = 'FINAL_VisualTransformer_200_CCSLibrosaDatamodule_best_379_score_0.7241663932800293'" ], "metadata": { "collapsed": false, @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 9, "outputs": [], "source": [ "with (_ROOT / (study_name + study_ext)).open('rb') as f:\n", @@ -56,13 +56,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 10, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "{'scheduler': None, 'batch_size': 45, 'target_mel_length_in_seconds': 1.4000000000000001, 'random_apply_chance': 0.1, 'loudness_ratio': 0.5, 'shift_ratio': 0.5, 'noise_ratio': 0.2, 'mask_ratio': 0.4, 'lr': 0.00017173239257248755, 'dropout': 0.05, 'lat_dim': 5, 'sampler': 'WeightedRandomSampler', 'mlp_dim': 4, 'head_dim': 5, 'patch_size': 9, 'attn_depth': 6, 'heads': 4, 'embedding_size': 48}\n" + "{'scheduler': 'LambdaLR', 'lr_scheduler_parameter': 0.9, 'batch_size': 25, 'target_mel_length_in_seconds': 1.3, 'random_apply_chance': 0.1, 'loudness_ratio': 0.30000000000000004, 'shift_ratio': 0.0, 'noise_ratio': 0.30000000000000004, 'mask_ratio': 0.1, 'lr': 0.0004120756353355384, 'dropout': 0.15000000000000002, 'lat_dim': 4, 'sampler': 'WeightedRandomSampler', 'mlp_dim': 5, 'head_dim': 4, 'patch_size': 18, 'attn_depth': 10, 'heads': 16, 'embedding_size': 60}\n" ] } ], @@ -79,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "outputs": [ { "name": "stdout", @@ -92,14 +92,14 @@ "name": "stderr", "output_type": "stream", "text": [ - ":23: ExperimentalWarning: plot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n", + ":22: ExperimentalWarning: plot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n", " ax = optuna.visualization.matplotlib.plot_param_importances(study, params=[x for x in best_params if x not in ['sampler', '']], target_name='UAR') # [best_params[-2], best_params[17]])\n" ] }, { "data": { "text/plain": "
", - "image/png": 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wUcMiIiKiIcQkr41UKtXTttNwVuIgIiKis+1CJ3mJRAKGYSCRSMCyLACAYRiwbRuapolu1XbbnK5SwzCg6zpmZmY61rO8vAxN06DrOkzTbIlB13UsLy/DNE0YhgGPxyOOj8fjXWNzth8UAxEREV0sF3oKFZ/PJ7pPk8kkUqkUVFWFLMuIxWLiuHbbnK5Sr9cLVVVhWRZ0XUc0GnXVoes6SqWSaIHL5XJin6Zp8Pl84pxIJIJcLgdFUXDz5k3IsoxgMIhIJIJSqdQ2DgCQZblrDACwt7eHvb098Xl3l1NKEBERDbMLneQB+4mWbduoVqt9nS/Lctf9uVwOoVCo7fGFQgGyLItWuWQy2XKcoiioVquwbbtjXYqiHBjn0tIS7t27d+BxRERENBwubHetpmnY3t5GLBYTrXmNXam2bUPXddc57bZ5vd6u9TitcI1lOJzkT1XVlgcynONs24bX63UleM1xHBQDACwsLKBWq4nX8+fPDzyHiIiIzq8Lm+SFw2HYtg3DMEQrnjP2LR6PQ9M0V2LVvM00TViWJVoCc7kcMpkMRkZGXK9oNAqfzwdd16HrOizLEl23sVgMPp9PjL9rtLq6Cl3XsbS05OribYyjUwztplQZHR3F2NiY60VERETDa6Rer9dPOwhyC4VCKBQKx1rH7u4uJEnCL298E5e4rBkNOS5rRkTDwvn7XavVDmywubAteWcdJzgmIiKio2CSd8Y0dsESERER9evCP1171gSDQezs7Jx2GERERHTOsSWPiIiIaAixJe+C+9YHv+aTtkREREOILXlEREREQ4hJHhEREdEQYpJHRERENIQ4Ju+C+80b38FvORkynQOc0JiI6HDYkkdEREQ0hJjkEREREQ0hJnnHzDRNeDyevpcpCwQCgw2IiIiILgQmeUd00PJjwWAQ4XC47/JzuVzf5xIREdHFxSTviFKp1LGWryjKsZZPREREw4lP1/6BYRiYmZlBMpmE1+tFLpdDIpEQSVYikUAkEkEul0M8HoeiKDAMA7ZtQ9M0KIoCVVUBALquo1qtAgC8Xq8oHwAymQyy2WxL/aZpwrIsyLKMbDaLVCoF0zQxMzODQqGA1dVVlEolTE5OIpVKIRKJYH5+HolEApOTk7AsC6qqIhgMnsTtIiIiojOOSd4fqKoKRVFw8+ZNyLKMYDCISCSCUqkEAPD5fCKJSyaTSKVSUFUVsiwjFouJckzTFImcZVlIJBIAAFmWoaoqLMuCruuIRqOu+jOZDAKBAFRVFYlhMBgUSabX60UsFhPJ4vz8PDRNg8/nE2U5SWg7e3t72NvbE593dzkdBRER0TBjd20TWZYB7HeTVqtV1wMTmqbBNE3RStdOJpNBJBIRZTitdgd1uy4sLKBQKCAUCmFpaallfzQahW3biMfjyGazsG0bhUIB29vbMAwDhmEgmUx2LH9paQmSJInX5cuXu8ZDRERE5xuTvCZOUmfbNrxeL2RZhqZp2N7eRiwWE615pmm6ztF1HcB+i5/T+tdYntM618nq6ipSqRRKpRK8Xi8sy2o5ZmZmBqlUCrIsY3V1FaFQCMB+K6QTVycLCwuo1Wri9fz58+43goiIiM41dtc2WV1dhdfrxebmpuj6DIfDKBQKoqsUACzLQjAYRDweh6ZpYiycM05ueXkZiqLgd7/7HSzLgqZpiMViyOVyouvW4/G46nYSwUAgAEVRxDi91dVVV/K5vLyM7e1tJJNJLC8vQ9M0eL3erq2Fo6OjGB0dHeStIiIiojNspF6v1087iLMiFAqhUCicdhgnYnd3F5Ik4Zc3volLXNaMzgEua0ZE9M9/v2u1GsbGxroey+7aJv1OWkxERER0ljDJ+wOna/SgyY2JiIiIzgOOyfuDYDCInZ2d0w6DiIiIaCDYkkdEREQ0hNiSd8F964NfHzhwk4iIiM4ftuQRERERDSEmeURERERDqK8kb3JyEh999NGgYyEiIiKiAelrTF4sFsNrr73m2vbJJ5/gu9/97kCCopPzmze+g99yMmRqwEmHiYiGQ19J3sjICL7//e+L5beq1Sqy2SyTPCIiIqIzoq8k77333oOqqvjyyy/x5ZdfAgCq1epAAyMiIiKi/vWV5KVSKVy7ds217eOPPx5IQERERER0dH09eHHt2jX88Ic/xK1btwDsJ3iTk5MDDey8ME0TgUBgoGveWpaFUCgEwzDEtkAgMLDyiYiIaPj1leQtLCxAlmWoqgpgP+lrTEgukmAwCEVRDjzuMGviKooi7q0jl8sdOjYiIiK6uPpK8sLhMN56662ekhval0qljnQ+7zUREREdRl9J3rNnzwDsP2Xr2NzcHExE51wikYBhGEgkErAsCwBgGAZs24amaV1bPJeXl6FpGnRdh2maYntjl7BpmvB4PDAMA7quY2ZmBqZpwjAMxONx13mN9vb2sLu763oRERHR8OrrwYurV68iHA7D5/Mhl8vBMAwkk8lBx3Yu+Xw+0dWaTCaRSqWgqipkWUYsFut4nq7rKJVKosWvsXu2sUs4GAwiHA7D6/VCVVVYlgXDMDA/Pw+v14tUKtW21XBpaQn37t0b5KUSERHRGdb3gxfZbBZXr15FvV6HpmmcI6+BpmkwTfNQ08rkcjmEQiHxWZblrsc37j/oWGB/HGWtVhOv58+f9xwbERERnT99JXnlchkvvfQS3nvvPSwsLMCyLJTL5QGHdv5omobt7W3EYjHRmtfYfWrbNnRdb3tuJBJBqVRyHduN1+tt+76T0dFRjI2NuV5EREQ0vPpK8hrHlUmShNdff/3CPl1rmiYsy4KmaQiHw7BtG4ZhiFY8Z1xePB6Hpmmi1W1kZMT1ikaj8Pl80HUduq7DsizR7erUsbq66qrPtm3kcjlkMhnYto1MJoOnT5+KOomIiOjiGqnX6/VeDqzValhdXcXIyAhyuRwikYhrf6FQwH/+z//5WIKkwdvd3YUkSfjljW/iEteupQZcu5aI6Oxy/n7XarUDe+V6fvBCkiSoqopkMolSqYSXXnrJtX9+fr6/aImIiIho4A71dO1LL72EH/3oR/j4449bljUjIiIiorNjYMuacd41IiIiorOjr3nyFhYWXEtvXbt2DR999BFee+21gQZHx+9bH/yaT9oSERENIS5rRkRERDSEuKwZERER0RDismZEREREQ6jnefKaPXv2TEzWe+vWLVy9enWggdHxcubZyZkVfOMSx+SdZ3/xZ/Jph0BERCfkWObJa+Ysa9ZYKQfwExEREZ0NfY3JA/aTunK5LF6JRGKQcRERERHREfSV5P37f//vEQwGEY1GxWt1dXXQsR2ZaZoIBAKwbftQ+wYdg8fj6bmeQCBwrPEQERHRxdBXd20gEMCPfvQj17Yf//jHAwlokILBYMdpXrrtOwpN0xCLxVz1hMPhns/P5XIDj4mIiIgunr5a8pxJkBtFIpEjBzMMnIdR+sW5B4mIiGgQ+mrJ83g8eP/996EoCmRZhm3byGQyyGQyg44Ppmni2rVryGazop6FhQVUq1Vks1nE43EEg0EAQCKRwOTkJCzLgqqqYnsvms8F0FJvNpt1HR8IBFAqlTA5OYlqtQpFUWDbNjRNc60IAgCGYQBASznN1zozM4NCoQDLsrrW33yeZVmQZRnZbPbIiSYRERGdf30lefPz87BtG7Isi22/+MUvBhWTi9Pd6fV6oaoqLMuCYRiYn5+H1+tFKpVCKpWCpmnw+XyIRqMA9lsWe+367HRuc726riMajYqkKplMQtM0VKtV0UUry7Kru9Yhy3JLOe2u1WnJa3fdnc7LZDIIBAJQVRVer7ftNe7t7WFvb0985lrDREREw62vJC8SieCtt95ybfvwww8HElAnjQll43tHoVCALMuixewwkzN3O7ddXU6LnW3bKBQKiMfjB9bRbzdsu/qbLSwsIJFIIJlMIhgMtm3xW1pawr179/qKgYiIiM6fvsbktXsC9LifCm1soWrXWhUKhQDsjxdsN2awm27ntqtLlmUkEglYloVUKtXSLWzbNnRdP7CcXvRy3urqKlKpFEqlErxeLyzLajlmYWEBtVpNvJ4/f95XPERERHQ+9JXklUol3Lp1C++//z7ef/99/PCHP2xp2RsUp2tU0zTYto1cLodMJiPGqT19+hSWZSEWi8Hn80HTNJFgNZ4L7K+12/hy9h10bnO9wP5TsO3G/MXjcWiaJlrgupXTHI9z7Orq6qHOK5VK0HUduq4jEAi0bTUcHR3F2NiY60VERETDq69lzcLhMFRVhc/nE9uchOuiCIVCrla2bDbbU9fqWcFlzYYHlzUjIro4jn1Zs2QyiWvXrrm2HbaL9DxLJBL4+OOPXa11mqZhfn7+dAMjIiIi+oO+krzmBO+TTz6Bbdu4evXqQII66+LxOFZXV0VLntNdTERERHRW9JXkAcBHH30kBvjX63U8ffoUr7322sACO8sURWFSR0RERGdaX0ne3/7t38K2bdcEwL1MI0JEREREJ6PvtWvfeustPHv2DCMjI/D7/fjkk08GHRudgD8PyHzSloiIaAj1NYWKoiioVCp46aWXWuaDIyIiIqLT11dL3s7ODhRFwc7ODr788kt873vfgyzL+O53vzvo+IiIiIioD33Nk9fs448/RjgchiRJg4iJTsBh5tkhIiKis+HY58mbnJzEwsKCeJq2eUoVOj9+XrLxjUtfnXYYdAScDJmIiNrpa0xeLBZrmS6FD14QERERnR19teSNjIzg+9//vlgndXt7G7quc0weERER0RnRV5L33nvvQVVVfPnll/jyyy8BANvb2wMNjIiIiIj611eSl0qlWsbhffzxxwMJqFemaWJmZgaFQkGsIdsvy7IwMzODZDJ5btbgDQQCKJVKpx0GERERnVF9jclrt3ZtrVYbSEC9CgaDUBRlIGUpinKmkztN01q25XK5U4iEiIiIzguuXXsOpFKplrVyB5XgEhER0XDqqyXvb//2b/Ff/st/wc9//nN8+eWXKJVKp7527fLyMnRdFy9gv0s3EAjAtm1YloVIJOJaoWN5eRmapkHXdZimKbabpgmPxwPDMKDrOmZmZlx1JRIJ6LqO5eVlmKYJ0zSh6zoMw0A8Hm/53MwwDAQCARiGgUgkAtu2RbmGYSCRSIgE2jAM2LYNTdNgGEbLdXW69mZ7e3vY3d11vYiIiGh4DcXatU53ZjQaBQDE43EoiuLq0lUUBZFIRJyj6zpKpRJSqRQAd/dnMBhEOByG1+uFqqqwLAu6riMajULTNPh8PlFXJBJBMBhEIBCAqqrwer3IZDKuz81UVYUsy/B6vchms2JMoc/nE93GyWQSqVRKHNvYktd4Xd2uvdHS0hLu3bvXz+0lIiKic2go1q4tFAqu7kunlaybXC6HUCgkPrd7eKPdtkKhgO3tbRiGAcMwkEwmsbCwgEKhgFAohKWlpZbPnQSDwZY6NE2DaZqoVqtd42+Mp5drX1hYQK1WE6/nz5/3VD4RERGdT30lebZtQ1EU7O7uirVrnRax0xAKhUT3JgCUSiXRkiXLskiYSqWSeB+JRFxPpzpdn43atcI5iaGqqqLVbXV1FalUCqVSCV6vF3//93/v+twYWyeapmF7exuxWEyU29iFbNt224S627U3Gh0dxdjYmOtFREREw6uvJO/111/H73//e4yNjeG9997D/Px82ydAj5NpmrAsC5qmia5MXdehaRpCoZBIlOLxuBgfV61WkcvlYNs2otEofD6fGMdmWZZIVBvLtm0buVwOmUwGtm0jFovB5/OJsXzAfmLllBMIBPDixQvXZ0VRMDIy4no55TvC4TBs2xZxAhDJWzweh6ZpotXPiW91dbXrtRMREdHFNVKv1+v9nuwM3mer0PnjLHCcMyv4xiV+f+cZ164lIro4nL/ftVrtwPyrr5a8Wq2Gv/zLv4Qsy/B4PPje977HpzWJiIiIzpC+krxEIoF4PI6vvvoKv//97/HWW291fcCAiIiIiE5WX1OohEIhvP766+JzNBrFyMjIwIIiIiIioqPpK8nz+Xwt2zwej3j/2Wef4ZVXXuk7KDo5fx6QOaaSiIhoCPWV5OVyOViWJZ72tG0bpVJJPA2azWbxj//4jwMLkoiIiIgOp+8kT5IkfPnll2KbJEn41a9+BQA9T+RLRERERMejryQvlUrh2rVrHfd//PHHfQdEREREREfX1zx54XAY//E//ke89tprxxETnQDOk3dyOI8dERENyrHPkxePx1sSvE8++aSfooiIiIjoGPTVXTsyMoLvf//7YsmuarWKbDaL7373u4OOj4iIiIj60FdL3nvvvYd6vY4vv/wSP//5z/GrX/3qQj5sYVkWQqEQDMM47VCIiIiIXAb24MVFfNhCURSoqnraYQAANE1DLBY77TCIiIjojOirJe/atWv44Q9/iFu3bgHYT/AmJycHGhgdTiqVOu0QiIiI6AzpK8lbWFiALMuiFevatWsXqstyeXkZmqZB13WYpim2G4aBQCAAwzAQiURg27Y4Xtd18XKO9Xg8opx4PC4mk253vGmaCAQCsG0blmUhEom4yrJtG5qmXajvgYiIiDrrq7s2HA7j9ddfv5BdtLquo1QqiZazXC4n9qmqClmW4fV6kc1mIcsyNE0DsL++L7D/ZLLTzasoCm7evAlZlhEMBhGJRJBIJNoeHwwGoSgKgP1u4kgk0lJvt+7avb097O3tic+7u7uDuB1ERER0RvXVkvfs2TMA+0/ZOjY3NwcT0RmXy+UQCoXEZ2dpt0bBYFBsLxQKIjkDIFr6ms93nlL+2c9+1vX4fi0tLUGSJPG6fPnykcskIiKis6uvJO/q1asIh8NIJpNYWFjA5OSkq2VpmEUiEZRKJfHZ6ZLtJBQKiW5YACiVSggGgy3n27YNr9eLf/2v/3XH42VZFk8xl0qllieabdsWXbjNFhYWUKvVxOv58+cHXywRERGdW32teAHst+Y5XZa3bt3C1atXBxrYWba8vCxa21KpFGRZRjabhWmauHbtGpLJpKvr1DneScqcfaFQCPF4HF6vF5ubm6JrttPxhmHANE0Eg0Fx73/84x+LbmHbthEMBnt64pcrXpwcrnhBRESDcpgVL/pO8ujoQqEQCoXCqdTNJO/kMMkjIqJBOfZlzRor4gD+ozmou5eIiIioH30lebVaDX/5l38JWZbh8Xjwve99j8neIZmmCcuyxNO3RERERIPUV5KXSCQQj8fx1Vdf4fe//z3eeustLC0tDTq2oRYMBrGzs4P5+fnTDoWIiIiGUF/z5IVCIbz++uviczQadU2nQkRERESnq68kz+fztWzzeDzi/WeffYZXXnml76Do5Px5QD5w4CYRERGdP30leblcDpZliYl8bdtGqVQS87tls1n84z/+48CCJCIiIqLD6TvJkyQJX375pdgmSRJ+9atfAUDLJL1EREREdLL6SvJSqRSuXbvWcf9FXNOWiIiI6CzpK8kzDKNrktdtH50tPy/Z+Malr047jKHCyY+JiOgs6CvJy2azCAQCCIfDfMCCiIiI6AzqK8krFAqQJAnPnj3DRx99BAB47bXXBhoYEREREfWvr8mQJUkCALz00kvY3t7G/Pw8bt26hY8++gjlcnmQ8RERERFRH/pK8m7duoXvf//78Pl8sCwLuVwOmUwGr732GnZ2dvDJJ58MOs4zJRAInHYIZyIGIiIiOrv6SvIKhQJCoRC2t7extLSEl156Sezb2dmBbduDiu9MyuVyJ1pfu/VtTzoGIiIiOl/6SvKSySTefPPNtvtWV1fFJMnDSlGUE60vlUqdegxERER0vvSU5P3kJz9xfW5ct9bhPIDxox/9CN/97ncHENrxM00THo8HhmFA13XMzMy49i8vL0PXdfFyzgkEArBtG6ZpQtd1GIaBeDwuzkskEtB1HcvLyzBNs6VewzAQCARgGAYikYho+UwkEjAMA4lEQqweYhgGbNuGpmkwDKMlhk5xNtvb28Pu7q7rRURERMOrp6drs9nsgV2wzpi88yQYDCIcDsPr9UJVVViWBV3XEY1GRRdpNBoFAMTjcSiKgmAwKFrRMpkMAoEAVFWF1+sFsN+16vP5xHmRSKSla1VVVciyDK/Xi2w2K1o+fT4fVFUFsN9amkqlxLGxWMwVtxNDtzgbLS0t4d69e4O5cURERHTm9ZTkbW5uYnt7W3y2bbulS/bZs2cDDewkteteLhQKiEQi4rPT8taYPC0sLCCRSCCZTCIYDCKbzaJQKECWZdHqlkwmO9bbnIgB+0mbbds9Lw3XS5xOrD/4wQ/E593dXVy+fLmnOoiIiOj86am7NplM4unTp+KVSCRcn58+fYr33nvvuGM9Nk4rXKNQKCS6TAGgVCq1JE6rq6tIpVIolUrwer2wLAuhUAjAfmud0yrXC03TsL29jVgsJs5r7Oq1bbttV2wvcQLA6OgoxsbGXC8iIiIaXj0leTdv3nR9HhkZOfCY88A0TViWJVrPnKlgbNsW3aO6rkPTNIRCIaiqKs5ZXV1FqVQS4+ACgQAURUEsFoPP54OmaSIpGxkZcb0a63WEw2HYtg3DMEQrnpO8xeNxaJomWhwbY+gUJxEREV1sI/V6vX7QQZ999plr+bIf//jHeOutt7oeQ2fb7u4uJElCzqzgG5fYqjdIXLuWiIiOi/P3u1arHdgr11NLXiaTwYsXL8RTmbVazfV5d3cXmUxmIMETERER0dH11JL3ta99zdVFW6/X237+/e9/fzxR0sCxJe/4sCWPiIiOy2Fa8np6ujYWiyGRSLR9QAEAtre3sby8fPhIiYiIiOhY9JTkxeNx19JlzSRJck0GTOfHnwdkPmlLREQ0hHoak3f16tWBHENEREREJ6OvtWuJiIiI6GxjkkdEREQ0hHoak0fD6zdvfAe//Xrr5Nbk9ieru6cdAhER0aGwJY+IiIhoCDHJIyIiIhpCTPKIiIiIhhCTvBNgmiY8Hg9s2x5YmZZlIRQKwTCMgZVJREREw4NJ3gkIBoMIh8MDLVNRFKiqOtAyiYiIaHgwySMiIiIaQpxC5QQ5XauZTAbZbFZsTyQSmJychGVZUFUVwWAQiUQCkUgEuVwO8XgciqIAAJaXlyHLMrxeL0zTRCQSAbDfJWxZFmRZRjabRSqVctW9t7eHvb098Xl3l1OCEBERDTMmeSdIlmWoqgrLsqDrOqLRKDRNg8/nQzQaBQCR2Pl8PtEdm0wmkUqloOs6SqWSSOByuZwoO5PJIBAIQFVVeL3elrqXlpZw7969E7hKIiIiOgvYXXuCnNa4RoVCAdvb2zAMA4ZhIJlMin2apsE0TVSrVQD7SV0oFBL7ZVkW7xcWFlAoFBAKhbC0tNRSz8LCAmq1mng9f/58gFdGREREZw1b8k5Quxa2UCiEUqkkWu1M04Smadje3sb8/DxM08Tm5qbomt3c3BTnNj6tu7q6Klr44vE4LMtyJZWjo6MYHR09pisjIhqsr776Cl988QX+6Z/+CfV6/bTDITpxIyMj8Hg8rgadw2KSdwKc8XKapiEWiyGXy4mu21gshuXlZWiaBq/XC0VREA6HUSgUXNOjWJaFaDQqunqdbalUCqqqolQqie2BQKBtqyER0XnxxRdfAAC++c1vnnIkRKejXq/Dtm387ne/w7e+9a2+yhip859IF9Lu7i4kScIvb3wTl7h27YG4di3RyXr27BkTPCIAL168cDXcOH+/a7UaxsbGup7LMXlERHTmsP2B6OiY5BERERENISZ5REREp6RYLOLu3bv4l//yX2JxcRHpdBorKyu4e/cuNjY2Wo5XVbXt9n40lpXP5zE5OTmwstvVQSePY/IuqMP06RMRnTTLsnDp0qXTDuNE1Go1vPzyy/j8888hSZLYfvv2bbzyyiu4c+eO2JbP5/HKK6+4jutU5kHHNJd19+5d/Nt/+29x/fr1I11LY729xkudcUweERHRkHn48CHu37+PWq0mtk1PTx+YMJXLZayvrx9YfnNZR03E2tXbS7x0fJjkERERnUGSJGF8fBzpdPpQ562srBxTRGezXuqMSR4REdEZdeXKFXz22WcA9sfvqaoqkr5arYZ0Oo18Po+NjQ0sLi4in89ja2sL+Xwe6XQa5XJZjLdLp9NIp9NQVbWlLMenn37qKs9pRczn81BVVSRyGxsbmJycRD6fF/ub621XR7FYxMrKCjY2NrCysoJyuewq37medDqN27dvi/PaXSsdjJMhX3A/L9n4xqWvTjuME/cXfyafdghERD1xEq3x8XG8+uqrYns6ncb4+Dimp6cBADs7O5ienkY+n4ff78fs7CwAwO/3Y2pqCltbW3jw4AE8Hk9LWQ6/3y/KGxsbw+3bt6HrOqanp1EsFsVx169fx9ramvjcrl4ArjrK5TIWFxfFxP3A/oMZH374oTg/n8/j8ePHAICf/vSnKBaLojWz+VrpYEzyiIiIzqhKpYKpqam2+65fv45IJIIrV67g1VdfdSVXzSRJgsfjEed1O84xPT2NmZmZnh7i6IWTqDW6cuUK1tfXMTs7C4/HI2J0YnGSucNcK/0zdtcSERGdUZVKpWNC4/F48Pnnn+Phw4fY2dlxdW86Gh/a8Pv9xxVm13oHoZdrpVZM8oiIiM6gu3fv4q//+q9bkjMngXr06BHK5TLGx8fx7rvvtm1te/LkiXjfrouzORlr/FwsFjE1NSXKbWxZc8re3W2/5GNjvU6ZN27ccG136mjXbdysl2ulVuyu7cI0TVy7dg3Pnj2DLMst+wOBAEqlEoD9OZ10Xcfm5iay2eyxx9ZYNxERnU/FYhEffPABgP1Exu/3o1aroVwut8xZVywWsb6+DlmWcf36dXg8Hjx58gT/7b/9N+zs7ODGjRsAgNnZWaysrCCdTmNqagr5fB5PnjxBsVjElStXxPi6xrKcRNLv96NcLmN3dxefffaZGB8H7I+vcx7uAICpqSl88MEH+Ff/6l+JsXiN9TbXMT4+jnfeeQcrKyvw+/34xS9+gcePH0OSJHEssN9NXKlUUCwWkU6nceXKlY7XSt1xMuQDRCIRZLPZtkmeZVligsKZmRkkk0l4vV7IsgxN0xCLxQYSQ7uyGuvuhzOZYs6s4BuXLt5kyHzwguhsu0iTIRN1w8mQT0njTbdtWyR4AJBKpQZWT7uyjpLgERER0fBjkvcHpmlC13UYhoF4PO7aZxgGdF3HzMyM6/hAIADbtmGaJizLgqZpsCwLhmHAtm1omgbDMFrqMgwDgUAAhmEgEonAtm0AQCKRgGEYSCQSsCxLHNtcVmPdALC8vAxd18Wrnb29Pezu7rpeRERENLw4Ju8PMpkMAoEAVFWF1+t17ZNlGaqqinF30WgUwWBQtKY572OxGGRZhqIokGW5Y3etqqqQZRler9fVFezz+aCqKgAgmUwilUqJYxvLaqxb0zQAQDQaBQDE43EoioJgMOiqc2lpCffu3TviXSIiIqLzgi15f7CwsIBCoYBQKISlpSXXvuPqGg0Ggy1j/TRNg2maqFarPZVRKBRc8TkthM0WFhZQq9XE6/nz50eKnYiIiM42Jnl/sLq6ilQqhVKpBK/XK7pLAbS07PXKtu2O3afNNE3D9vY2YrGYaM0zTfPAskKhkCvWUqnU0ooHAKOjoxgbG3O9iIiIaHgxyfuDUqkkxrQFAgEoiuIaa2fbNnK5HDKZjGsc3urqqus4Rzweh6ZpkGUZIyMjrle748PhMGzbhmEYohXPSd4aywLgqtvpxtV1HZqmIRQKiSSRiIiILi5OoXJBcQoV+bRDIKIuOIUK0T5OoUJERERELny6loiIzrx7//XLYyv77/7N/9x1f7FYxKNHj1CpVPDOO+9genoatVoNP/jBDwAADx8+PHCZrcnJSWxubgIAyuUyNjY2WlaUGLTGuJ31b2u1Gvx+v2sljcbYjsIpJ5/P480338Tnn38+sDKpP2zJIyIi6mJ8fBzT09OYmJjA9PQ0gP11XOfm5jA3N9fTOqqNy13ev38f169fx8OHD48tZmA/7hs3bmBiYgKzs7OYnZ3FnTt38Itf/ALpdLptbO00HtuNU8709DSuXLnSV8zNdZ3EMqHDjC15F9yfB2Q+aUtE1IfD/L/TWRsW2G9N83g8PSWHx2Fubg7hcFi07jXG1k46nRbHdnNQOb1ormsQZV5kbMkjIiI6omKxiJdffhn5fB4bGxu4ffu2a9/k5CRqtRqKxSIqlQrS6TTK5TIAYGVlBRsbG+IFAPl8HpOTk8jn84hGo/jZz37WUn6xWEQ+n8fdu3dRLBZ7jlWSJMiyjGKx2BLbxsaGKNOJo1arIZ1OI5/Pt43NOdcpx+Gcs7i4KK618bhyuYxoNOq65sa6mstsd5+63XdiSx4REdGRjY+PY2JiAh6PB9PT02Lc3fXr1zE+Pi66L533s7OzkCRJdE86Y+Tu3r2LK1euYHp6GpIkwePx4PHjx5AkqaX8fD6PO3fuwOPx4IMPPsCDBw/6ituJbW1tDX6/H1NTU/B4PAAg4mhsXWsXW2M5jldffRWSJGF6elqMrWs8zu/3i+7vTnU5x3a6T93uO7Elj4iI6EAej0esF+6oVCoiGXIcdvjL1taWq0vS7/eLFjNgPwlr7NZtLP8o3b22bWN8fNy1bW5uDltbW1BVFY8ePTqwjObYmjXus23b1cp3WAfdJw47ao8teRfcb974Dn779ZHTDqMvf7K6e9ohENEFMTU11ZL4VCoVV0sUgJak7yATExOiKxPYf/L2r/7qrzoe31j+YetyrKys4O23327Zvr6+LloD7969i3K5LBKrWq2GJ0+eHKqFrFarifncZFkWSZ8kSdjZ2YEkSSiXyy2JYru6DrpP/d6LYceWPCIiogNIkoSHDx9icXERGxsbSKfTmJqaEvsbx9rVajXk83msra25xuGtr6+7jgMguiadMp0neJuP61b+2toatra2XEkQsJ8IOfuc8ldWViBJEu7cueMqd319XXR1bmxswO/3iwRvdnYW6XRatJY1x9ZcDrCfFD958gT5fB6PHj1yPSU7Ozsrxv7Zti3G4jXX1VhmL/ep+b4QV7y4sJwZs39545u4xJY8IjpjuOIF0T6ueEFERERELkzy2jBNs+0g26OwLAuhUAiGYRz6uEAgMLA4iIiI6GJgktdGMBhEOBweaJmKokBV1b6Oy+VyA42FiIiIhh+TvHOgsS+eiIiIqBecQqULp8s0k8m4ngxKJBKYnJyEZVlQVRXBYBCJRAKRSAS5XA7xeFwkZsvLy5BlGV6vF6ZpIhKJtK2r03GmaWJmZgaFQgGWZeHatWvIZrOwbRuZTAYLCwuoVqvIZrOIx+MIBoNty9/b28Pe3p74vLvLhxaIiIiGGZO8LmRZhqqqsCwLuq4jGo1C0zT4fD5Eo1EAEImdz+cT3azJZBKpVAq6rqNUKiGVSgHo3O3a7bhgMCgSRqcb2ev1irgMw8D8/Dy8Xi9SqZQoo9nS0hLu3bs3mBtDREREZx67a7to101aKBSwvb0NwzBgGAaSyaTYp2kaTNNEtVoFsJ+shUIhsV+W5bb19Hpcu/0HHetYWFhArVYTr+fPn/d0HhHRRVcsFnH79m2oqirWTD2Osp0VHGq1Gm7fvo3bt2/3NN/b5OSkeF8ul7GysnLsa7g2xp1Op8UcfM33pzG2o3DKyefzePnllwda5jBjS14XXq+3ZVsoFEKpVBKtdqZpQtM0bG9vY35+HqZpYnNzU3S5bm5uinM7Pa3b63Ht4moXYzujo6MYHR3t6VgiorPmH8r/77GV/b/6/0XX/ePj45iensbW1tbA10RtLNtZPUOSJMzNzYn3B2kcTnT//n288847rvVfj8P4+Dhu3LiBTz/91FXX4uIidnZ2xLbG2NpJp9M9xeqUMz093bJGbq+a6zootmHAlrw2TNOEZVnQNA22bSOXyyGTycC2bcRiMfh8PmiaBl3XAQDhcBi2bcMwDNGKZ1kWotEofD4fdF2HruuwLEt0p46MjIjXzMxMx+OcWFZXV7vGlclk8PTpU1iWdTo3jYiIBmZsbKzn9Vgb13St1WrweDxHWtf2KObm5nD//n3xuTG2dhpXzejmoHJ60VzXIMo869iS10YwGESpVBKfm8fSzc/Pt5zTOBaucQqUxmOdcXwA0G2hkcbjmmPpFFdjtzEREZ2clZUVV8LgtPYtLi7C7/ejXC7j6tWrrhauwygWi3j99dfxk5/8BLu7u1hbW8Pjx4/Fvtu3b8MwDFQqFbHE1/Xr1+H3+9vGls/n8Td/8zd4//33sbKygv/wH/4D/t2/+3eu8ufm5rCzs4Of/vSneOONNzA+Pt5TrJIkQZZlFItFAGiJbWxsDD/96U/x4MEDsZxZOp3GlStXMD093RLb48ePUalURDlO8uqck8/nMTs7C7/f77oXOzs7+Ju/+Ru88cYb4pob6/J4PK4y292nbvf9vGCSR0RE1CendchJ7O7evSu6EyuVCt59912k0+m+Ezxgv2t0YmICHo8H09PTYo3Z69evY3x8XNTnvJ+dnYUkSR1jm56ehiRJ8Hg8ePz4MSRJaik/n8/jzp078Hg8+OCDD/DgwYO+4nZiW1tbg9/vx9TUFDweDwCIOBrvS7vYGstxvPrqq5AkCdPT05icnMTm5qbrOL/fL7q/O9XlHNvpPnW77+cFu2uJiIj6kE6nsbW15WoB8vv9yOfzuHLlinjQbWtrC6+88krHctqtsFSpVEQy5Oi1+9bRKTbH+Pi4q1u3sfyjdPfatt3S8jc3N4etrS2oqopHjx4dWEZzbM0a99m23dMDKp0cdJ8Oe9/PEiZ5REREfdja2sLExATK5bLYVi6XRYJy584dVCoVPHjwoGt359TUFCqVimtbpVJpSXKak76DdIqtk8byD1uXY2VlBW+//XbL9vX1dTx48ACbm5uQZdkVV61WO/RTy05SV6vVIMuyuFeSJGFnZwfA/vU677vVddB96vdenAXsrr3gvvXBr8/1v1KIiI6b031ZqVSwsbGBnZ0dpNNpTExMYHZ2VkwdsrOzg4mJCdFNmM/n8e677x5YviRJePjwIRYXF8XYvampKbG/WCyKsXazs7PI5/P47LPPRHJYqVSwvr6OV155RRx3586djrE1l9et/LW1NWxtbaFcLrtau8rlMtbW1lz3pFarubpEnXLX19dFVyew31LmlDU7O4t0Oi2SquZYmsuZnZ3F1NQUnjx5grGxMeTzeddTsrOzs9jY2MD4+Dhs20Y+nxddu411NZfZy31qvC+n9WDLYY3Uuz0BQENrd3cXkiShVqsxySOiM8eyLFy6dEl8Ps0pVPqlqqprLlNnjBnRYbx48cI1b+9h/n6zJY+IiM6840rEjsvi4iI+/PBDkdQVi0XRwkZ0UpjkERERDdjs7CzW19fFeK5yuXzsExQTNWOSd8H9vGTjG5e+Ou0wevYXfyafdghERAdqHHdGdFr4dC0RERHREGKSR0RERDSEmOQRERERDSEmeQNkGMaJTZoYCAROpB4iIiI6n5jkDZCqqq65bAZF07SWbblcbuD1EBFRK2fhe1VVkU6nkU6nxeS5jSYnJ08pwlaNMTtLdNVqNdy+fRu3b9/uaRmwxuspl8tYWVnB7du3jy1mx0nfb6ecfD6Pl19+eaBlnjY+XXsOpFIpxGIx17bjSCaJiM6qX9W+fmxl/5n0T133j4+P48aNG/j0009d06AsLi5iZ2dHbGtceWHQGleA6MX4+Dimp6extbUlVuCQJAlzc3Pi/UEar+f+/ft45513TmQamEHd717vmVPO9PQ0rly5cuh429VznP8tHMaFbckzTRMejweGYUDXdczMzMA0TRiGgXg8DtM0xbGJRAKGYSCRSMCyLHG+ruvi+HblBwIB6Lress8wDAQCARiGgUgkIhamblePYRiwbRuapsEwDFfZznnLy8vQdV282tnb28Pu7q7rRURE/Zubm8P9+/fF5+OcMiWdTg+knLGxsZ5XOWq8nlqtBo/Hc6ordhz2fvd6z476vbWr56xMn3Nhk7xgMIhwOAyv14toNIrJyUkYhgFVVRGPx5FKpcSxPp8PqqoiEokgmUwCADKZDKrVKsLhcEuSZ9s2DMNAqVRCNBptqdtZ6sbr9SKbzYplb9rV4xwbi8WgqqqI3WnJc7pyo9EootEocrmcK0F1LC0tQZIk8bp8+fIR7yAR0cUmSRJkWUaxWESxWMTk5CRqtRqKxSI2NjaQz+dx9+5dcfzGxobofnT2T05OIp/PIxqNii7UxcVFbGxsYGVlBcViEfl8HrVaDel0WnS9tjvusIrFIl5++WXk83lsbGy4umKbr8dZw7VcLgOA6D51XgDaXk+7Opxrunv37qHiPsz9bnfPOsXnlONwzllcXBTX23hcuVxGNBoVdTbX01xmu3vV7d4P0oXvrm1cV7DxfTNN02DbNqrVKgBgYWEBiUQCyWQSwWDQ1TSraRpyuRzm5+e71h0MBg+s5yCFQgGRSER8dloIm8teWFjAD37wA/F5d3eXiR4R0YCMj4+Lrr61tTX4/X5MTU2Jh/GKxSLW1tbw+PFjlMtl3L9/X6xl6/F4xPt0Og2Px4Pr168D2P8HvK7rkCTJ1SXY6bjDxjwxMQGPx4Pp6WmUy2VsbGzg+vXrrutx3s/OzooYAYi67969iytXrmB6errletrVkc/ncefOHXg8HnzwwQd48ODBwO+3E0vjPesUX3MX7auvvgpJkjA9PY3JyUlsbm66jvP7/aILvF09jcd2ulfd7v0gXdiWPIfX62373qFpGra3t10taaZpYnV1FalUCqVSCV6vV3SvAsD8/DxmZmaQSCR6jqNTPQ7bttv+gEOhkKvuUqnUNnkcHR0VzfSHaa4nIqLObNvG+Pi4a9vc3By2tragqioePXoEYD8RcRIDv9+Px48fi+PHx8dFN+jW1hZ2dnaQz+eRz+fx7rvvtq23l+M8Ho8Y1uOoVCots0Ac9u/B1taWqzvS7/e7Whgbr6ddHUfp8u31fnfTLr5Gjfts2+7pIZVODrpXx/23+MImeaZpwrIs0XKWy+WQyWRg2zYymQyePn0Ky7IQDodF96vTumZZFkqlkhgDFwgEoCiKKFPXddy8eRPLy8tYXl7GyMiI69VYt6NTPQAQj8ehaZpoaXTOX11dFQ9k6LoOTdMQCoVEkkhERMdnZWUFb7/9dsv29fV1PHjwAJubm5BlGeVyGR6PR3T9AeiYOExMTADYbyFyksLGc5zuvm7HOaamplCpVFzbKpVKS4Jz2Km/JiYmXNdSLpdbEq9mjXX0O9XYYe63o/Ge9cr5bmq1GmRZFvdLkiTs7OwA2L9m5323eg66V8c97dpIvV6vH2sNdCbt7u5CkiTkzAq+cen8tOpx7Vqii8GyLFy6dEl8Ps2na53u1Uqlgrm5Oezs7KBWq7m66ZxpP+7cuYNyuYyrV6+Kc+/cuQNgfwydx+OB3+8X3Xmvv/56y1OrKysrolvR6dpLp9Oo1WriqdlOxzVzuomvXr2KnZ0dTE1NiZYlJ+bZ2VnMzs7i9u3bkCQJDx8+RKVSEdfzyiuviOOca1lZWYHf7xeJzuzsLIrFYsv1dKvj0aNHePLkCX7yk5+4WrsGdb+b71m3+O7cuYPZ2VksLi7i6tWrGBsbQz6fx+zsrIgtn8+jWCyK7wMAHj58iPX19ZZ6GsvsdK863ZfmJPzFixeuGTWcv9+1Wu3AlkAmeRcUkzwiOsuakzyii+ooSd6F7a4lIiIiGmZM8oiIiIiG0IWfQuWi+/OAzCdtiYiIhhBb8oiIiIiGEJM8IiIioiHEJI+IiIhoCHFM3gX3mze+g99+feS0wzjQn6zunnYIRERE5wqTPCIiOvP+v/8zcGxl/9F/KnXdXywW8ejRI1QqFbzzzjsdV5joRbuyarWaWFu83WS4zZz1VAGINU8/++wz11Jpg9YYtzORcK1Wg9/vd6232hjbUTjl5PN5vPnmm/j8888HVuZFwu5aIiKiLpyVDCYmJg5M8JyVEA5TliRJmJubw9zcXE/rumazWfH+/v37uH79Oh4+fNjDlfRvfHwcN27cwMTEhFil4c6dO/jFL37huubG2No56P40lzM9PS1WBzmMdvUcFNswGsokzzCMvteDsywLoVAIhmH0tC8QOL5/XZ5kHUREdHS9JjHNxsbGep7OqnEJsFqtBo/H01NyeBzm5uZw//598bkxtnZ6vT8HlXOQdvUctczzaCiTPFVVXUuAHIaiKFBVted9uVyur3oO4yTqICKi3hSLRbz88svI5/PY2NjA7du3AeyvbVqr1ZBOp5HP5wdevrNvcnIStVoNxWIRlUoF6XQa5XIZwP6ashsbG+LlxDU5OYl8Po9oNIqf/exnLeUXi0Xk83ncvXsXxWKx51glSYIsyygWiy2xbWxsiDI73Z/m2JxznXIczjmLi4viWhuPK5fLiEajos7meprLbHefut3384pj8o6o32TyrNVBRES9GR8fx8TEBDweD6anp8W4uOvXr0OSJDFm7TjKHx8fF92XzvvZ2VlIkiRar5wxcnfv3sWVK1cwPT0NSZLg8Xjw+PFjSJLUUn4+n8edO3fg8XjwwQcf4MGDB33F7cS2trYGv9+Pqakp0bPmxNF4f9rF1liO49VXX4UkSZienhZj6xqP8/v9ovu7XT2Nx3a6T93u+3l15lvyEokEdF3H8vIyTNOEaZrweDwwDAO6rmNmZgamacIwDMTjcZimKc7VNA2GYSCRSMCyrI5lAsDy8jI0TYOu664yuu0zTROBQAC2bbeNq/k6NE0TdWua1nKtpmlC13VxLc11NJ4fiUSwvLzc8XqIiOh49btakMfjgW3brm2VSqVlmNFhy9/a2nJ1Sfr9fleL4vj4uKtbt7H8o3T32raN8fFx17a5uTlsbW1BVVU8evTowDKaY2vWuM+2bVcr32EddJ+GaRWoM53kaZoGn8+HaDSK+fl5JBIJBINBhMNheL1eRKNRTE5OwjAMqKqKeDyOVColzr958yZUVUUymUQkEulYpq7rKJVKiMViiEajrpazbvuCwaD43C4uXdcB7CdqlmUhFoshEAigWq0iFou1XG8mk0G1WkU4HBZJXmMdXq8XyWQSsiwDAObn59teTzt7e3vY3d11vYiIqH+dxn7XajXRBdjO1NQUKpWKa1ulUmlJcg47tnxiYkJ0ZQL7T942J1+dyu93HPvKygrefvvtlu3r6+t48OABNjc3IcuyK66D7k87TlJXq9Ugy7K4V5IkYWdnB8D+9Trvu9Vz0H3q916cRWc6ySsUCtje3oZhGDAMA8lkUuxzEp3m940at1erVdi23bbMXC6HUCjU9rxu+w6q06EoCmzbFvWHw+G25y4sLKBQKCAUCmFpaallfzQahW3biMfjyGazHa+nnaWlJUiSJF6XL1/ueh1ERLTPGa+2tbWFfD7vGgtXq9WQz+extraGWq2G2dlZpNPprq1BkiTh4cOHWFxcxMbGBtLpNKamplz1dSrf2be+vu46DoDonnTKdJ7gbT6uW/lra2vY2tpyJUHAfiLk7HPKX1lZgSRJuHPnjqvc9fV10dW5sbEBv98vWs6a709zbM3lAPtJ8ZMnT5DP5/Ho0SPXU7Kzs7NiHJ5t22I8Xqd61tfXe7pPzfflvBqp1+v10w6iE03TUCqVROJimiaCwSAikQiy2SxkWcby8jIURUE0GoVpmkilUkilUgiFQvj4448hyzJs20YoFEKpVGpbpmVZ2NzcFNvi8ThmZmagqip0Xe+4D4Arlk5xAftP/Hq9XgSDwa7X67TwxeNxJBIJKIrSUkcikYCqqqLLt909ara3t4e9vT3xeXd3F5cvX8Yvb3wTlzgZMhGdMZZl4dKlS6cdBtGpe/HihasXcXd3F5IkoVarHdi1fKZb8mKxGHw+nxgPB/xzUqZpGmzbRi6XQyaTgW3byGQyePr0KSzLgqqqonVraWlJPKHarsxoNAqfzwdd16HrOizLEt2+3fY5sayurnaNC9hvEWxOvkZGRlyvUqkk6gkEAlAUxVWHMwbPtm0sLy+LbuTm62lndHRUPKJ/mEf1iYiI6Hw60y15wyQUCsHr9YrPTsvcaXH+JcCWPCI6i9iSR7TvKC15nELlBCQSCdF1DOy3AGqahvn5+dMNjIiIiIYWk7wTEI/Hsbq6KlrynCdtiYiIiI4Lk7wToCgKkzoiIiI6UWf6wQsiIiIi6g9b8i64b33waz5pS0TURbFYxKNHj1CpVPDOO++I5bOOWtbc3NxAl8xqF2etVsMPfvADAMDDhw8PXNnCWTIMgJjr7rPPPsPjx48HFme3uJ057Gq1Gvx+v+v+NMZ2FE45+Xweb775Jj7//POBlXnWMMkjIqIzz/d/vXZsZW//9Udd94+Pj2N6ehpbW1sHJnjpdLrr2rWNZQ16TdR2cUqShLm5OfH+II0TDd+/fx/vvPPOkdfiPcj4+Dhu3LiBTz/91FXX4uIidnZ2xLbG2No56N47nHKmp6db1sjtRbt6DorttLC7loiIaEAaV244Kw4zN2rjmq61Wg0ej+dI69oexdzcHO7fvy8+N8bWTq/3/qByDtKunqOWeVyY5BERER1CsVjEyy+/jHw+j42NDdy+fRsAxJJa6XTateD9YaysrIjlwBrXXV1cXEQ6nXYthTbI2J19k5OTruXT0um0WOKsXWz5fB6Tk5PI5/OIRqP42c9+1lK+syzc3bt3USwWe45VkiTIsoxisdgSm7OU2d27d0Uczfe+OTbnXKcch3PO4uKiuNbG48rlMqLRqKizuZ7mMtvdp273/Tixu/aC+2rjb/DVH/9P+Nr/9venHQoR0bkwPj6OiYkJeDweTE9Pi7Fr169fhyRJfXdvOomb04179+5d0Z1YqVTw7rvvIp1Ou7owBxn7+Pi4qM95Pzs7C0mSOsY2PT0NSZLg8Xjw+PFjSJLUUn4+n8edO3fg8XjwwQcf4MGDB33F7cS2trYGv9+PqakpeDweABBxNN6XdrE1luN49dVXIUkSpqenxdi6xuP8fr/o/m5XT+Oxne5Tt/t+nNiSR0RE1IdBPrSWTqextbXl6vbz+/3I5/O4cuUKarUaarUatra28Morr3Qsx+PxiOU0HZVKRSRD/cbeKTbH+Pi4q1u3sfyjdPfato3x8XHXtrm5OWxtbUFVVTx69OjAMppja9a4z7ZtVyvfYR10n076QUcmeURERH1oTpwctVrN1dXai62tLUxMTIjuQmD/6VYnQblz5w4qlQoePHjQkvQ0mpqaQqVScW2rVCotSU6n2DvpFFsnjeUfti7HysoK3n777Zbt6+vrePDgATY3NyHLsiuufu69k9TVajXIsizulSRJ2NnZAbB/vc77bvUcdJ/6vRf9YpJHRETUhTOmbGtrC/l83jVerVarIZ/PY21tDbVaDbOzs0in0x1bbJzuy62tLTG2TlVVABBdgM72iYkJ0U2Yz+e7JlUOSZLw8OFD19i9qakp17V0it3Zt76+7jquW2zNx3Urf21tDVtbW64kyLknzj6n/JWVFZHcNpa7vr4uujo3Njbg9/tFy1nzvW+OrbkcYD8pfvLkCfL5PB49euR6SnZ2dlaMw7NtW4zH61TP+vp6T/ep+b4cp5F6vV4/1hqGmGmauHbtGp49eybWpe2VZVmYmZlBMpkUP/Bu9czMzKBQKBy6nk6cBY53/u+3MMYxeUR0xliWhUuXLonPpzmFylmgqqrr///OGDMafi9evICiKOKz8/e7Vqsd2P3LBy+OIBgMIhwO93WuoigHJneN9TR+wUREF815SMSOy+LiIj788EOR1BWLRaTTadHKRdQJkzwiIqIzbHZ2Fuvr62I8V7lcPvYJimk4MMnrwDRNWJYFWZaRzWaRSqUAALquo1qtAgC8Xi8AwDAMAEAmk3H15ycSCUxOTsKyLKiqimAwiOXlZciyDK/XC9M0EYlERH1Ol2y1WkU8Hkc8Hkc0Gm2Jrblc5/hUKoVkMolsNtvSrbu3t4e9vT3xeXd3d3A3i4iIjk3juDOiw2CS10Emk0EgEICqqiKZM01TJHKWZSGRSAAAZFmGqqqwLAu6riMajULTNPh8PpGkRSIRxONxlEolkTDmcjlRX2OXrKIoIvlr1q7cXC4nEsd2CR4ALC0t4d69e4O5OURERHTm8enaDhYWFlAoFBAKhbC0tARgP/Fzki9FUUSrXbvxcoVCAdvb2zAMA4ZhIJlMIpfLIRQKiWP6eYiiXbmOYDDYscyFhQUxz1KtVsPz588PXTcRERGdH0zyOlhdXUUqlUKpVILX64VlWfD5fCiVSuIYZ8JJp6WvkZPMqaoqHrCIRCJtz3fIsiy6gkulknh/ULm9GB0dFesXHmYdQyIiIjqfmOR1UCqVoOs6dF1HIBCAoiiYn58HACwvL0PXdfzDP/wDLMuCpmmwbRu5XA6ZTAa2bSMWi8Hn80HTNOi6DgCIRqPw+XyiXMuyRNctAMTjcei6DsMwUK1WkcvlYNu2GB+oaVrbchv3ExEREQGcJ+/C4jx5RHSWNc+Tdxbk83nk83lcvXoVwP4SVfl8Hu++++4pR7bPWXf1MIrFIm7fvg3DMFrm3SsWi3j06BEqlYp4mrdWq8Hv97vWXO2n3m7x5/N5vPnmm/j8888HVuZ5xnnyiIhoqPn+6/E9OLb9b/7uwGM2Njbw6aef4sGDB2JbsVjEkydPup6XTqdPbLqTxtkdejU+Po4rV6503Hfjxg18+umnrmtYXFzEzs6O2HZQvb3eA6ec6enpjjEdtp5+7skwYXctERHRAW7fvt3SYjc+Pu5aMqydxiW1jttJTbMyNzeH+/fv91xvr/fgqPG3q+eiTz3DJI+IiKiLfD4PSZLaLiPmJH6Li4vI5/NYXFwUa7M6a52m02nk83lxjrOu7MrKCorFotiWTqdda84CwMrKilindWNjQ5Q7OTmJfD6PaDQq1p2dnJwUa6E6ZaTTaXFeuxj7IUkSZFlGsVh01VssFsVar3fv3u14D3qJH4A4pzHexuPK5TKi0aios7me5jLb3ctisYiXX34Z+XweGxsbuH37dt/35Sxid+0F97Xr7+NrfNKWiOhIPB4PpqenAewnEw8ePMD09DQkSXJ1IabTaXg8HjGmLRqN4t1330WlUsG7776LdDotukKdRM859u7du7hy5Yoo1+PxiDVsG7tdi8Ui1tbW8PjxY5TLZdy/fx/Xr19vG+NRNda7trYGv9+PqakpsTpHu3twUPyOV199FZIkYXp6WoytazzO7/eL62lXT+Oxne7l+Pg4JiYmxL0pl8vY2NhwjTk8z9iSR0RE1MX09LSYY7SZ0yIE7CcSxWKxZXqsRltbW9jZ2REPcbz77ru4cuWKKH9rawuvvPKKOLaxu9Hv97taBMfHx9u2Lq6trYnkx+/34/Hjx4eKsRe2bWN8fNy1bW5uDltbW1BVFY8ePTqwjE7xOxr32bbd9v736qB7OazTijHJIyIiOsD777+PxcVF1zbn6cbG1jcnuXK6YZ3jnGRwYmICwH7i6BwrSRLu3LmDSqWCBw8eiORpYmLC1a1aLpdbEqt2PB6P6zynG7NbjIexsrKCt99+u2X7+vo6Hjx4gM3NTciy3BJDY0LcCyepq9VqkGVZJH2SJGFnZwfA/j1x3ner56B76bQ8DhsmeURERAeYnZ3FX/3VX7nGdT158gTT09N45ZVXUKvVkM/nRcJRqVTEeel0WrQUzc7OwuPxuMbKAfvj1JoTOKfr0RlfNzExgenpaRSLRVQqFdeDBs629fV13LlzB8A/j0GrVCodY2xXlqNcLmNtbQ1bW1sihpWVFZGUNtfrdHVubGy41tttvgcHxQ8AU1NTePLkCfL5PB49euR6SnZ2dlaMw7NtW4zH61TP+vp6T/fSuT9ra2tHajU8SzhP3gV1mHl2iIhO2lmcJ+84qarqWpbSGatGxHnyiIiIzqnFxUV8+OGHIqkrFotIp9OitYyoX0zyiIiITtHs7CzW19fFuLByuXxiEyjTcGOSR0REdIoax68RDRIfvCAiIiIaQkzyiIjozBkZGTntEIjOPSZ5RER05nz961/H3t7eaYdBdGrq9Tp++9vf4o//+I/7LoNj8oiI6Mz59re/jS+++AL/43/8D3CmL7qIRkZG4PF4XFPrHBaTPCIiOnO+9rWv4U//9E9POwyic43dtURERERDiEkeERER0RBikkdEREQ0hDgm74JyBjLv7u6eciRERETUK+fvdi8PJDHJu6C2t7cBAJcvXz7lSIiIiOiwXrx4IdY77oRJ3gXl9XoBAP/9v//3A/8jGTa7u7u4fPkynj9/jrGxsdMO50Tx2nntvPaLg9c+nNder9fx4sULfPvb3z7wWCZ5F9TXvrY/HFOSpKH7AfRqbGyM134B8dp57RcNr334rr3Xxhk+eEFEREQ0hJjkEREREQ0hJnkX1OjoKP7u7/4Oo6Ojpx3KieO189ovGl47r/2iucjX3mikzkUBiYiIiIYOW/KIiIiIhhCTPCIiIqIhxClUhoiu6wCAarUKRVGgqmrPxxx2+1lz1GuvVqsoFAqYmZkR22dmZrCwsAAAyGQySCaTJ3Eph3aUa+90jRfhe5+ZmcGPf/xjyLLsOn6YvnfbtqFpGgBgfn7+wHOH6Xvvdu3n9fd+lOu+CL/1btd+nn/rR1KnoVAqleqxWEx8VlW152MOu/2sOcq1FwqFejabrdfr9frOzk5dlmVxTDAYrMuyXFdVtb6zs3NM0R/NUa69Xm9/jRfhey+VSnUAdVmW67Is1wHUk8lkvV4fnu+9Xq/Xs9lsfX5+Xlxbt3OH6Xuv19tf+3n+vR/luuv14f+t1+ud/3s/z7/1o2J37ZAwDMP1rxRZlmEYRk/HHHb7WXOUa69Wq8jlcmKb1+uFaZoAgIWFBezs7CCXy7X8C/CsOMq1A+2v8SJ875ZlYWdnR7xSqZT4l/+wfO8AEI1GEQgEejp3mL53oP21n+ff+1GuGxj+3zrQ/trP+2/9qNhdOyRKpRJ8Pp/47PV6Ydt2T8ccdvtZc5Rrj0ajrmb/arWKYDAIANjc3BTbACAWix3XJfTtKNcOtL/Gi/K9OzRNw82bN8XnYfneD3vuMH3vnaiqem5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\n" }, "metadata": {}, "output_type": "display_data" @@ -123,8 +123,7 @@ " \"xtick.labelsize\": 8,\n", " \"ytick.labelsize\": 8\n", "}\n", - "\n", - "plt.rcParams.update(tex_fonts)\n", + "# plt.rcParams.update(tex_fonts)\n", "\n", "Path('figures').mkdir(exist_ok=True)\n", "\n", @@ -140,7 +139,7 @@ "ax.set_yticklabels(labels)\n", "\n", "plt.savefig('figures/parameter_importance_vit.png')\n", - "plt.show()\n" + "plt.show()" ], "metadata": { "collapsed": false, diff --git a/notebooks/Train Eval.ipynb b/notebooks/Train Eval.ipynb index 41aa863..729ae3b 100644 --- a/notebooks/Train Eval.ipynb +++ b/notebooks/Train Eval.ipynb @@ -36,6 +36,7 @@ "out_path = Path('..') / Path('output')\n", "_model_name = 'VisualTransformer'\n", "_dataset_name = 'PrimatesLibrosaDatamodule'\n", + "breakpoint()\n", "_param_name = 'heads'" ], "metadata": { diff --git a/notebooks/best_scores.ipynb b/notebooks/best_scores.ipynb new file mode 100644 index 0000000..4a9c9f2 --- /dev/null +++ b/notebooks/best_scores.ipynb @@ -0,0 +1,288 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "outputs": [], + "source": [ + "import pickle\n", + "\n", + "from pathlib import Path\n", + "from matplotlib import pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "import yaml\n", + "from pytorch_lightning.utilities import argparse\n", + "\n", + "import variables as v\n", + "import optuna" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% Imports\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 2, + "outputs": [], + "source": [ + "_ROOT = Path('..', 'optuna_found_param_run')\n", + "sr = 16000\n", + "roots = [v.CCS_Root, v.PRIMATES_Root]\n", + "ext = 'png'\n", + "metric_file = 'metrics.csv'\n", + "hparams_file = 'hparams.yaml'" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% Variables\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 3, + "outputs": [], + "source": [ + "recall_df_list = []\n", + "for model_path in _ROOT.iterdir():\n", + " for configuration in model_path.iterdir():\n", + " for run in configuration.iterdir():\n", + " with (run / hparams_file).open('r') as f:\n", + " hparams = yaml.load(f, Loader=yaml.FullLoader)\n", + " with (run / metric_file).open('r') as f:\n", + " df = pd.read_csv(f, index_col=None, header=0, )\n", + " pl_recall_score = df['PL_recall_score'].copy().dropna().to_frame()\n", + " pl_recall_score['seed'] = run.name\n", + " pl_recall_score['Model'] = model_path.name\n", + " pl_recall_score['config'] = configuration.name\n", + " pl_recall_score['Dataset'] = hparams['data_name']\n", + " recall_df_list.append(pl_recall_score)\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 4, + "outputs": [], + "source": [ + "recall_df = pd.concat(recall_df_list)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 5, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " PL_recall_score seed Model \\\n", + "179 0.915464 version_5 VisualTransformer \n", + "144 0.902619 version_7 VerticalVisualTransformer \n", + "129 0.866450 version_4 BandwiseConvClassifier \n", + "110 0.859317 version_14 CNNBaseline \n", + "390 0.720238 version_14 VisualTransformer \n", + "179 0.685770 version_10 CNNBaseline \n", + "250 0.678739 version_19 VerticalVisualTransformer \n", + "194 0.667974 version_13 BandwiseConvClassifier \n", + "\n", + " config Dataset \n", + "179 VT_75bb824feb6033b91d21840685d70ba5 PrimatesLibrosaDatamodule \n", + "144 VVT_19a2b480fd6ee98593bc120e3c0a60f4 PrimatesLibrosaDatamodule \n", + "129 BCC_b94ce16482db048293791fec9ba35b83 PrimatesLibrosaDatamodule \n", + "110 CNNB_906d81f53683eff0f13bf073a2cc9456 PrimatesLibrosaDatamodule \n", + "390 VT_5054e83ca32590c29e9e1af618ce7c8f CCSLibrosaDatamodule \n", + "179 CNNB_f7b6db211ea73177a4729547308dc59a CCSLibrosaDatamodule \n", + "250 VVT_598aa67e5a11485fc58a75d27368a793 CCSLibrosaDatamodule \n", + "194 BCC_11d96383f8da5cb937d5fe2a24cc4a40 CCSLibrosaDatamodule \n" + ] + } + ], + "source": [ + "grouped_max = recall_df.sort_values('PL_recall_score', ascending=False).drop_duplicates(['config','Dataset'])\n", + "\n", + "print(grouped_max)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 5, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 6, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":7: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Model'][df_melted['Model'] == 'BandwiseConvClassifier' ] = 'BCC'\n", + ":8: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Model'][df_melted['Model'] == 'CNNBaseline' ] = 'CNNB'\n", + ":9: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Model'][df_melted['Model'] == 'VerticalVisualTransformer' ] = 'VViT'\n", + ":10: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Model'][df_melted['Model'] == 'VisualTransformer' ] = 'ViT'\n", + ":11: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Dataset'][df_melted['Dataset'] == 'CCSLibrosaDatamodule' ] = 'CCS'\n", + ":12: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_melted['Dataset'][df_melted['Dataset'] == 'PrimatesLibrosaDatamodule' ] = 'PRMS'\n" + ] + } + ], + "source": [ + "grouped_max = recall_df.groupby(by=['config', 'Dataset', 'seed']).max()\n", + "df_melted = grouped_max.reset_index().melt(id_vars=['config', 'Dataset'\n", + " '', 'Model'],\n", + " value_vars='PL_recall_score',\n", + " var_name=\"Unweighted Average Recall\",\n", + " value_name=\"Unweighted Average Recall (UAR)\")\n", + "df_melted['Model'][df_melted['Model'] == 'BandwiseConvClassifier' ] = 'BCC'\n", + "df_melted['Model'][df_melted['Model'] == 'CNNBaseline' ] = 'CNNB'\n", + "df_melted['Model'][df_melted['Model'] == 'VerticalVisualTransformer' ] = 'VViT'\n", + "df_melted['Model'][df_melted['Model'] == 'VisualTransformer' ] = 'ViT'\n", + "df_melted['Dataset'][df_melted['Dataset'] == 'CCSLibrosaDatamodule' ] = 'CCS'\n", + "df_melted['Dataset'][df_melted['Dataset'] == 'PrimatesLibrosaDatamodule' ] = 'PRMS'" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 31, + "outputs": [ + { + "data": { + "text/plain": "[Text(0, 0, 'BCC'), Text(1, 0, 'CNNB'), Text(2, 0, 'ViT'), Text(3, 0, 'VViT')]" + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "PALETTE = 10 * (\n", + " \"#377eb8\",\n", + " \"#4daf4a\",\n", + " \"#984ea3\",\n", + " \"#e41a1c\",\n", + " \"#ff7f00\",\n", + " \"#a65628\",\n", + " \"#f781bf\",\n", + " \"#888888\",\n", + " \"#a6cee3\",\n", + " \"#b2df8a\",\n", + " \"#cab2d6\",\n", + " \"#fb9a99\",\n", + " \"#fdbf6f\",\n", + ")\n", + "sns.set(style='whitegrid')\n", + "# bx = sns.pointplot(data=df_melted, hue='Dataset', x='Model', y='Unweighted Average Recall (UAR)', palette='plasma',\n", + "# ci='sd', join=False, capsize=0.3, errwidth=1.5, scale=0.8, dodge=True)\n", + "bx = sns.boxenplot(data=df_melted, hue='Dataset', x='Model', y='Unweighted Average Recall (UAR)', palette='inferno')\n", + "bx.set_xticklabels(bx.get_xticklabels(), rotation=0)\n", + "# bx.set_yscale(\"log\")" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 7, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/optuna_tune.py b/optuna_tune.py index edf4079..1309529 100644 --- a/optuna_tune.py +++ b/optuna_tune.py @@ -4,6 +4,7 @@ from pathlib import Path from typing import Union import optuna as optuna +from natsort import natsorted from optuna.integration import PyTorchLightningPruningCallback from main import run_lightning_loop @@ -11,21 +12,21 @@ from ml_lib.utils.config import parse_comandline_args_add_defaults class ContiniousSavingCallback: - + @property def study(self): return self._study @property def tmp_study_path(self): - return Path(self.root) / f'TMP_{self.study.study_name}_trial{self.study.trials[-1].number}.pkl' + return Path(self.root) / f'TMP_{self.study.study_name}_trial_{self.study.trials[-1].number}.pkl' @property def final_study_path(self): return Path(self.root) / f'FINAL_{self.study.study_name}_' \ f'best_{self.study.best_trial.number}_' \ f'score_{self.study.best_value}.pkl' - + def __init__(self, root: Union[str, Path], study: optuna.Study): self._study = study self.root = Path(root) @@ -41,8 +42,8 @@ class ContiniousSavingCallback: pickle.dump(object, f) def save_final(self): - self._write_to_disk(self.study, self.final_study_path()) - + self._write_to_disk(self.study, self.final_study_path) + def clean_up(self): temp_study_files = self.root.glob(f'TMP_{self.study.study_name}*') for temp_study_file in temp_study_files: @@ -59,75 +60,112 @@ class ContiniousSavingCallback: self.clean_up() -def optimize(trial: optuna.Trial): - # Optuna configuration - folder = Path('study') - folder.mkdir(parents=False, exist_ok=True) - scheduler = trial.suggest_categorical('scheduler', [None, 'LambdaLR']) - if scheduler is not None: - lr_scheduler_parameter = trial.suggest_float('lr_scheduler_parameter', 0.8, 1, step=0.01) - else: - lr_scheduler_parameter = None +class Objective(object): + def __init__(self, model_class_name, data_class_name, max_epochs, loss): + self.study_params = dict(model_name=model_class_name, + data_name=data_class_name, + max_epochs=max_epochs, + loss=loss, + ) - optuna_suggestions = dict( - model_name='CNNBaseline', - data_name='PrimatesLibrosaDatamodule', - batch_size=trial.suggest_int('batch_size', 5, 50, step=5), - max_epochs=400, - target_mel_length_in_seconds=trial.suggest_float('target_mel_length_in_seconds', 0.2, 1.5, step=0.1), - random_apply_chance=trial.suggest_float('random_apply_chance', 0.1, 0.5, step=0.1), - loudness_ratio=trial.suggest_float('loudness_ratio', 0.0, 0.5, step=0.1), - shift_ratio=trial.suggest_float('shift_ratio', 0.0, 0.5, step=0.1), - noise_ratio=trial.suggest_float('noise_ratio', 0.0, 0.5, step=0.1), - mask_ratio=trial.suggest_float('mask_ratio', 0.0, 0.5, step=0.1), - lr=trial.suggest_loguniform('lr', 1e-5, 1e-3), - dropout=trial.suggest_float('dropout', 0.0, 0.3, step=0.05), - lat_dim=2 ** trial.suggest_int('lat_dim', 1, 5, step=1), - scheduler=scheduler, - lr_scheduler_parameter=lr_scheduler_parameter, - loss='ce_loss', - sampler=trial.suggest_categorical('sampler', [None, 'WeightedRandomSampler']), - study_name=trial.study.study_name - ) - if optuna_suggestions['model_name'] == 'CNNBaseline': - model_depth = trial.suggest_int('model_depth', 1, 6, step=1) - filters = list() - for layer_idx in range(model_depth): - filters.append(2 ** trial.suggest_int(f'filters_{layer_idx}', 2, 6, step=1)) - optuna_suggestions.update(filters=filters) - elif optuna_suggestions['model_name'] in ['VisualTransformer', 'VerticalVisualTransformer']: - transformer_dict = dict( - mlp_dim=2 ** trial.suggest_int('mlp_dim', 1, 5, step=1), - head_dim=2 ** trial.suggest_int('head_dim', 1, 5, step=1), - patch_size=trial.suggest_int('patch_size', 6, 20, step=3), - attn_depth=trial.suggest_int('attn_depth', 2, 20, step=4), - heads=trial.suggest_int('heads', 2, 16, step=2), - embedding_size=trial.suggest_int('embedding_size', 12, 64, step=12) + def __call__(self, trial): + # Optuna configuration + folder = Path('study') + folder.mkdir(parents=False, exist_ok=True) + + # Suggested Parameters: + scheduler = trial.suggest_categorical('scheduler', [None, 'LambdaLR']) + if scheduler is not None: + lr_scheduler_parameter = trial.suggest_float('lr_scheduler_parameter', 0.8, 1, step=0.01) + else: + lr_scheduler_parameter = None + + optuna_suggestions = dict( + batch_size=trial.suggest_int('batch_size', 5, 50, step=5), + target_mel_length_in_seconds=trial.suggest_float('target_mel_length_in_seconds', 0.2, 1.5, step=0.1), + random_apply_chance=trial.suggest_float('random_apply_chance', 0.1, 0.5, step=0.1), + loudness_ratio=trial.suggest_float('loudness_ratio', 0.0, 0.5, step=0.1), + shift_ratio=trial.suggest_float('shift_ratio', 0.0, 0.5, step=0.1), + noise_ratio=trial.suggest_float('noise_ratio', 0.0, 0.5, step=0.1), + mask_ratio=trial.suggest_float('mask_ratio', 0.0, 0.5, step=0.1), + lr=trial.suggest_loguniform('lr', 1e-5, 1e-3), + dropout=trial.suggest_float('dropout', 0.0, 0.3, step=0.05), + lat_dim=2 ** trial.suggest_int('lat_dim', 1, 5, step=1), + scheduler=scheduler, + lr_scheduler_parameter=lr_scheduler_parameter, + sampler=trial.suggest_categorical('sampler', [None, 'WeightedRandomSampler']), ) - optuna_suggestions.update(**transformer_dict) - pruning_callback = PyTorchLightningPruningCallback(trial, monitor="PL_recall_score") + # User defined Parameters: + for params_name in self.study_params.keys(): + trial.set_user_attr(params_name, self.study_params[params_name]) + trial.set_user_attr('study_name', trial.study.study_name) + optuna_suggestions.update(**trial.user_attrs) + + if optuna_suggestions['model_name'] in ['CNNBaseline', 'BandwiseConvClassifier']: + + model_depth = trial.suggest_int('model_depth', 1, 6, step=1) + filters = list() + for layer_idx in range(model_depth): + filters.append(2 ** trial.suggest_int(f'filters_{layer_idx}', 2, 6, step=1)) + optuna_suggestions.update(filters=filters) + elif optuna_suggestions['model_name'] in ['VisualTransformer', 'VerticalVisualTransformer']: + transformer_dict = dict( + mlp_dim=2 ** trial.suggest_int('mlp_dim', 1, 5, step=1), + head_dim=2 ** trial.suggest_int('head_dim', 1, 5, step=1), + patch_size=trial.suggest_int('patch_size', 6, 20, step=3), + attn_depth=trial.suggest_int('attn_depth', 2, 20, step=4), + heads=trial.suggest_int('heads', 2, 16, step=2), + embedding_size=trial.suggest_int('embedding_size', 12, 64, step=12) + ) + optuna_suggestions.update(**transformer_dict) + + pruning_callback = PyTorchLightningPruningCallback(trial, monitor="PL_recall_score") + + # Parse comandline args, read config and get model + h_params, found_data_class, found_model_class, seed = parse_comandline_args_add_defaults( + '_parameters.ini', overrides=optuna_suggestions) + h_params = Namespace(**h_params) - # Parse comandline args, read config and get model - h_params, found_data_class, found_model_class, seed = parse_comandline_args_add_defaults( - '_parameters.ini', overrides=optuna_suggestions) - h_params = Namespace(**h_params) - try: results = run_lightning_loop(h_params, data_class=found_data_class, model_class=found_model_class, - additional_callbacks=pruning_callback, seed=seed) + additional_callbacks=pruning_callback, seed=seed) best_score = results.best_model_score - except Exception as e: - print(e) - best_score = 0 - return best_score + return best_score if __name__ == '__main__': - optuna_study = optuna.create_study(direction='maximize', sampler=optuna.samplers.TPESampler(seed=1337)) - with ContiniousSavingCallback('study', optuna_study) as continious_save_callback: + # Study Parameters + out_folder = Path('study') + model_name = 'CNNBaseline' + data_name = 'Urban8KLibrosaDatamodule' + loss = 'ce_loss' + max_epochs = 200 + n_trials = 400 + study_name = f'{model_name}_{max_epochs}_{data_name}' + + # Create Study or load study: + try: + found_studys = [x for x in out_folder.iterdir() if study_name in x.name] + except FileNotFoundError: + found_studys = [] + if found_studys: + latest_found_study = natsorted(found_studys, key=lambda x: x.stem[x.stem.find('_trial'):])[-1] + with latest_found_study.open('rb') as latest_found_study_file: + optuna_study = pickle.load(latest_found_study_file) + n_trials = n_trials - len(optuna_study.trials) + print(f'An old study has been found and loaded: {optuna_study.study_name}') + else: + print(f'A new Study will be created: {study_name}') + optuna_study = optuna.create_study(study_name=study_name, + direction='maximize', sampler=optuna.samplers.TPESampler(seed=1337)) + n_trials = n_trials + # Optimize it + with ContiniousSavingCallback(out_folder, optuna_study) as continious_save_callback: # study.optimize(optimize, n_trials=50, callbacks=[opt_utils.NeptuneCallback(log_study=True, log_charts=True)]) - optuna_study.optimize(optimize, n_trials=200, show_progress_bar=True, callbacks=[continious_save_callback]) + optuna_study.optimize(Objective(model_name, data_name, max_epochs, loss), n_trials=n_trials, + show_progress_bar=True, + callbacks=[continious_save_callback], catch=(Exception, )) print("Number of finished trials: {}".format(len(optuna_study.trials))) @@ -139,3 +177,4 @@ if __name__ == '__main__': print(" Params: ") for key, value in trial.params.items(): print(" {}: {}".format(key, value)) + exit()