From a30bee8f97d94dfb4792a8dd678401b6c736c2f5 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Mon, 22 Jun 2026 15:47:04 +0800 Subject: [PATCH 1/7] =?UTF-8?q?=E4=BB=A3=E7=A0=81=E6=8F=90=E4=BA=A4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ppmat/datasets/__init__.py | 3 + ppmat/datasets/transpolymer_dataset.py | 61 +++ ppmat/models/__init__.py | 2 + ppmat/models/transpolymer/__init__.py | 11 + ppmat/models/transpolymer/modeling.py | 431 ++++++++++++++++++ ppmat/models/transpolymer/tokenizer.py | 349 ++++++++++++++ ppmat/models/transpolymer/transpolymer.py | 60 +++ .../configs/transpolymer/README.md | 129 ++++++ .../transpolymer_pe_i_finetune.yaml | 34 ++ property_prediction/transpolymer_train.py | 186 ++++++++ test/test_transpolymer_smoke.py | 38 ++ 11 files changed, 1304 insertions(+) create mode 100644 ppmat/datasets/transpolymer_dataset.py create mode 100644 ppmat/models/transpolymer/__init__.py create mode 100644 ppmat/models/transpolymer/modeling.py create mode 100644 ppmat/models/transpolymer/tokenizer.py create mode 100644 ppmat/models/transpolymer/transpolymer.py create mode 100644 property_prediction/configs/transpolymer/README.md create mode 100644 property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml create mode 100644 property_prediction/transpolymer_train.py create mode 100644 test/test_transpolymer_smoke.py diff --git a/ppmat/datasets/__init__.py b/ppmat/datasets/__init__.py index 98eec451..d77ca8b6 100644 --- a/ppmat/datasets/__init__.py +++ b/ppmat/datasets/__init__.py @@ -50,6 +50,8 @@ from ppmat.datasets.split_mptrj_data import none_to_zero from ppmat.datasets.transform import build_transforms from ppmat.utils import logger +from ppmat.datasets.transpolymer_dataset import TransPolymerCsvDataset +from ppmat.datasets.transpolymer_dataset import transpolymer_collate_fn __all__ = [ "MP20Dataset", @@ -67,6 +69,7 @@ "DensityDataset", "SmallDensityDataset", "OMol25Dataset", + "TransPolymerCsvDataset", ] INFO_CLASS_REGISTRY: Dict[str, type] = { diff --git a/ppmat/datasets/transpolymer_dataset.py b/ppmat/datasets/transpolymer_dataset.py new file mode 100644 index 00000000..345654e3 --- /dev/null +++ b/ppmat/datasets/transpolymer_dataset.py @@ -0,0 +1,61 @@ +import numpy as np +import pandas as pd +import paddle +from paddle.io import Dataset + + +class TransPolymerCsvDataset(Dataset): + """CSV dataset for TransPolymer downstream regression. + + The input CSV is expected to contain the polymer sequence in the first column and + the regression target in the second column. + """ + + def __init__( + self, + file_path, + tokenizer, + blocksize=411, + label_mean=None, + label_std=None, + ): + super().__init__() + self.data = pd.read_csv(file_path) + self.tokenizer = tokenizer + self.blocksize = blocksize + self.label_mean = label_mean + self.label_std = label_std + + def __len__(self): + return len(self.data) + + def __getitem__(self, idx): + row = self.data.iloc[idx] + seq = str(row.iloc[0]) + label = float(row.iloc[1]) + if self.label_mean is not None and self.label_std is not None: + label = (label - self.label_mean) / self.label_std + encoding = self.tokenizer( + seq, + add_special_tokens=True, + max_length=self.blocksize, + return_token_type_ids=False, + padding="max_length", + truncation=True, + return_attention_mask=True, + ) + return { + "input_ids": np.asarray(encoding["input_ids"], dtype="int64"), + "attention_mask": np.asarray(encoding["attention_mask"], dtype="int64"), + "labels": np.asarray([label], dtype="float32"), + } + + +def transpolymer_collate_fn(batch): + return { + "input_ids": paddle.to_tensor([item["input_ids"] for item in batch], dtype="int64"), + "attention_mask": paddle.to_tensor( + [item["attention_mask"] for item in batch], dtype="int64" + ), + "labels": paddle.to_tensor([item["labels"] for item in batch], dtype="float32"), + } diff --git a/ppmat/models/__init__.py b/ppmat/models/__init__.py index 95d73232..4a09476a 100644 --- a/ppmat/models/__init__.py +++ b/ppmat/models/__init__.py @@ -45,6 +45,7 @@ from ppmat.utils import download from ppmat.utils import logger from ppmat.utils import save_load +from ppmat.models.transpolymer import TransPolymerRegressor __all__ = [ "iComformer", @@ -67,6 +68,7 @@ "DiffNMR", "InfGCN", "MatENO", + "TransPolymerRegressor", ] # Warning: The key of the dictionary must be consistent with the file name of the value diff --git a/ppmat/models/transpolymer/__init__.py b/ppmat/models/transpolymer/__init__.py new file mode 100644 index 00000000..35d32c10 --- /dev/null +++ b/ppmat/models/transpolymer/__init__.py @@ -0,0 +1,11 @@ +from ppmat.models.transpolymer.modeling import RobertaConfig +from ppmat.models.transpolymer.modeling import RobertaForMaskedLM +from ppmat.models.transpolymer.modeling import RobertaModel +from ppmat.models.transpolymer.transpolymer import TransPolymerRegressor + +__all__ = [ + "RobertaConfig", + "RobertaForMaskedLM", + "RobertaModel", + "TransPolymerRegressor", +] diff --git a/ppmat/models/transpolymer/modeling.py b/ppmat/models/transpolymer/modeling.py new file mode 100644 index 00000000..2ad53e00 --- /dev/null +++ b/ppmat/models/transpolymer/modeling.py @@ -0,0 +1,431 @@ +import json +import math +import os +from dataclasses import asdict, dataclass +from typing import Optional, Tuple + +import paddle +import paddle.nn as nn +import paddle.nn.functional as F + + +@dataclass +class RobertaConfig: + vocab_size: int = 50265 + hidden_size: int = 768 + num_hidden_layers: int = 6 + num_attention_heads: int = 12 + intermediate_size: int = 3072 + hidden_act: str = "gelu" + hidden_dropout_prob: float = 0.1 + attention_probs_dropout_prob: float = 0.1 + max_position_embeddings: int = 514 + type_vocab_size: int = 1 + initializer_range: float = 0.02 + layer_norm_eps: float = 1e-12 + pad_token_id: int = 1 + bos_token_id: int = 0 + eos_token_id: int = 2 + position_embedding_type: str = "absolute" + + @classmethod + def from_dict(cls, values): + fields = cls.__dataclass_fields__ + return cls(**{k: v for k, v in values.items() if k in fields}) + + @classmethod + def from_pretrained(cls, path): + with open(os.path.join(path, "config.json"), "r", encoding="utf-8") as f: + return cls.from_dict(json.load(f)) + + def to_dict(self): + result = asdict(self) + result["model_type"] = "roberta" + return result + + def save_pretrained(self, save_directory): + os.makedirs(save_directory, exist_ok=True) + with open(os.path.join(save_directory, "config.json"), "w", encoding="utf-8") as f: + json.dump(self.to_dict(), f, ensure_ascii=False, indent=2) + + +class ModelOutput: + def __init__(self, **kwargs): + self.__dict__.update(kwargs) + + def __getitem__(self, item): + values = tuple(v for v in self.__dict__.values() if v is not None) + return values[item] + + def __iter__(self): + return iter(tuple(v for v in self.__dict__.values() if v is not None)) + + +def _normal_init(layer, config): + if isinstance(layer, nn.Linear): + nn.initializer.Normal(mean=0.0, std=config.initializer_range)(layer.weight) + if layer.bias is not None: + nn.initializer.Constant(0.0)(layer.bias) + elif isinstance(layer, nn.Embedding): + nn.initializer.Normal(mean=0.0, std=config.initializer_range)(layer.weight) + padding_idx = getattr(layer, "_padding_idx", None) + if padding_idx is not None: + with paddle.no_grad(): + weight = layer.weight.numpy() + weight[padding_idx] = 0 + layer.weight.set_value(weight) + elif isinstance(layer, nn.LayerNorm): + nn.initializer.Constant(1.0)(layer.weight) + nn.initializer.Constant(0.0)(layer.bias) + + +def init_weights(layer, config): + for sublayer in [layer] + list(layer.sublayers()): + _normal_init(sublayer, config) + + +def create_position_ids_from_input_ids(input_ids, padding_idx, past_key_values_length=0): + mask = paddle.cast(input_ids != padding_idx, "int64") + incremental_indices = (paddle.cumsum(mask, axis=1) + past_key_values_length) * mask + return incremental_indices + padding_idx + + +class RobertaEmbeddings(nn.Layer): + def __init__(self, config): + super().__init__() + # Paddle masks padding_idx outputs to zero at runtime, while HuggingFace + # PyTorch returns the loaded padding row. Keep runtime behavior aligned + # with the source checkpoint and handle padding only in the attention mask. + self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size) + self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size, padding_idx=config.pad_token_id) + self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size) + self.LayerNorm = nn.LayerNorm(config.hidden_size, epsilon=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + self.padding_idx = config.pad_token_id + self.position_embedding_type = config.position_embedding_type + + def forward(self, input_ids=None, token_type_ids=None, position_ids=None, inputs_embeds=None): + if position_ids is None: + if input_ids is not None: + position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx) + else: + input_shape = inputs_embeds.shape[:-1] + seq_length = input_shape[1] + position_ids = paddle.arange(self.padding_idx + 1, seq_length + self.padding_idx + 1, dtype="int64") + position_ids = position_ids.unsqueeze(0).expand(input_shape) + + if input_ids is not None: + input_shape = input_ids.shape + else: + input_shape = inputs_embeds.shape[:-1] + + if token_type_ids is None: + token_type_ids = paddle.zeros(input_shape, dtype="int64") + if inputs_embeds is None: + inputs_embeds = self.word_embeddings(input_ids) + + embeddings = inputs_embeds + self.token_type_embeddings(token_type_ids) + if self.position_embedding_type == "absolute": + embeddings = embeddings + self.position_embeddings(position_ids) + embeddings = self.LayerNorm(embeddings) + return self.dropout(embeddings) + + +class RobertaSelfAttention(nn.Layer): + def __init__(self, config): + super().__init__() + if config.hidden_size % config.num_attention_heads != 0: + raise ValueError("hidden_size must be divisible by num_attention_heads") + self.num_attention_heads = config.num_attention_heads + self.attention_head_size = config.hidden_size // config.num_attention_heads + self.all_head_size = self.num_attention_heads * self.attention_head_size + self.query = nn.Linear(config.hidden_size, self.all_head_size) + self.key = nn.Linear(config.hidden_size, self.all_head_size) + self.value = nn.Linear(config.hidden_size, self.all_head_size) + self.dropout = nn.Dropout(config.attention_probs_dropout_prob) + + def transpose_for_scores(self, x): + new_shape = list(x.shape[:-1]) + [self.num_attention_heads, self.attention_head_size] + x = x.reshape(new_shape) + return x.transpose([0, 2, 1, 3]) + + def forward(self, hidden_states, attention_mask=None, output_attentions=False): + query_layer = self.transpose_for_scores(self.query(hidden_states)) + key_layer = self.transpose_for_scores(self.key(hidden_states)) + value_layer = self.transpose_for_scores(self.value(hidden_states)) + + attention_scores = paddle.matmul(query_layer, key_layer, transpose_y=True) + attention_scores = attention_scores / math.sqrt(self.attention_head_size) + if attention_mask is not None: + attention_scores = attention_scores + attention_mask + attention_probs = F.softmax(attention_scores, axis=-1) + attention_probs = self.dropout(attention_probs) + + context_layer = paddle.matmul(attention_probs, value_layer) + context_layer = context_layer.transpose([0, 2, 1, 3]) + context_layer = context_layer.reshape([context_layer.shape[0], context_layer.shape[1], self.all_head_size]) + return (context_layer, attention_probs) if output_attentions else (context_layer,) + + +class RobertaSelfOutput(nn.Layer): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + self.LayerNorm = nn.LayerNorm(config.hidden_size, epsilon=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + + def forward(self, hidden_states, input_tensor): + hidden_states = self.dense(hidden_states) + hidden_states = self.dropout(hidden_states) + return self.LayerNorm(hidden_states + input_tensor) + + +class RobertaAttention(nn.Layer): + def __init__(self, config): + super().__init__() + self.self = RobertaSelfAttention(config) + self.output = RobertaSelfOutput(config) + + def forward(self, hidden_states, attention_mask=None, output_attentions=False): + self_outputs = self.self(hidden_states, attention_mask, output_attentions) + attention_output = self.output(self_outputs[0], hidden_states) + return (attention_output,) + self_outputs[1:] + + +class RobertaIntermediate(nn.Layer): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.intermediate_size) + self.intermediate_act_fn = F.gelu + + def forward(self, hidden_states): + return self.intermediate_act_fn(self.dense(hidden_states)) + + +class RobertaOutput(nn.Layer): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.intermediate_size, config.hidden_size) + self.LayerNorm = nn.LayerNorm(config.hidden_size, epsilon=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + + def forward(self, hidden_states, input_tensor): + hidden_states = self.dense(hidden_states) + hidden_states = self.dropout(hidden_states) + return self.LayerNorm(hidden_states + input_tensor) + + +class RobertaLayer(nn.Layer): + def __init__(self, config): + super().__init__() + self.attention = RobertaAttention(config) + self.intermediate = RobertaIntermediate(config) + self.output = RobertaOutput(config) + + def forward(self, hidden_states, attention_mask=None, output_attentions=False): + self_attention_outputs = self.attention(hidden_states, attention_mask, output_attentions) + attention_output = self_attention_outputs[0] + intermediate_output = self.intermediate(attention_output) + layer_output = self.output(intermediate_output, attention_output) + return (layer_output,) + self_attention_outputs[1:] + + +class RobertaEncoder(nn.Layer): + def __init__(self, config): + super().__init__() + self.layer = nn.LayerList([RobertaLayer(config) for _ in range(config.num_hidden_layers)]) + + def forward(self, hidden_states, attention_mask=None, output_attentions=False, output_hidden_states=False): + all_hidden_states = () if output_hidden_states else None + all_self_attentions = () if output_attentions else None + for layer_module in self.layer: + if output_hidden_states: + all_hidden_states = all_hidden_states + (hidden_states,) + layer_outputs = layer_module(hidden_states, attention_mask, output_attentions) + hidden_states = layer_outputs[0] + if output_attentions: + all_self_attentions = all_self_attentions + (layer_outputs[1],) + if output_hidden_states: + all_hidden_states = all_hidden_states + (hidden_states,) + return ModelOutput(last_hidden_state=hidden_states, hidden_states=all_hidden_states, attentions=all_self_attentions) + + +class RobertaPooler(nn.Layer): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + self.activation = nn.Tanh() + + def forward(self, hidden_states): + return self.activation(self.dense(hidden_states[:, 0])) + + +class RobertaModel(nn.Layer): + def __init__(self, config, add_pooling_layer=True): + super().__init__() + self.config = config + self.embeddings = RobertaEmbeddings(config) + self.encoder = RobertaEncoder(config) + self.pooler = RobertaPooler(config) if add_pooling_layer else None + init_weights(self, config) + + @classmethod + def from_pretrained(cls, path, add_pooling_layer=True): + config = RobertaConfig.from_pretrained(path) + model = cls(config, add_pooling_layer=add_pooling_layer) + state_path = os.path.join(path, "model_state.pdparams") + if os.path.exists(state_path): + raw_state = paddle.load(state_path) + current_state = model.state_dict() + loaded_state = {} + for key, value in raw_state.items(): + model_key = key[len("roberta.") :] if key.startswith("roberta.") else key + if model_key in current_state and list(current_state[model_key].shape) == list(value.shape): + loaded_state[model_key] = value + current_state.update(loaded_state) + model.set_state_dict(current_state) + print(f"Loaded {len(loaded_state)} RobertaModel tensors from {state_path}") + return model + + def get_input_embeddings(self): + return self.embeddings.word_embeddings + + def resize_token_embeddings(self, new_num_tokens): + old_embeddings = self.embeddings.word_embeddings + old_num_tokens, embedding_dim = old_embeddings.weight.shape + if new_num_tokens == old_num_tokens: + return old_embeddings + new_embeddings = nn.Embedding(new_num_tokens, embedding_dim) + _normal_init(new_embeddings, self.config) + num_to_copy = min(old_num_tokens, new_num_tokens) + with paddle.no_grad(): + weight = new_embeddings.weight.numpy() + weight[:num_to_copy] = old_embeddings.weight.numpy()[:num_to_copy] + new_embeddings.weight.set_value(weight) + self.embeddings.word_embeddings = new_embeddings + self.config.vocab_size = new_num_tokens + return new_embeddings + + def forward( + self, + input_ids=None, + attention_mask=None, + token_type_ids=None, + position_ids=None, + inputs_embeds=None, + output_attentions=False, + output_hidden_states=False, + ): + if input_ids is not None: + input_shape = input_ids.shape + else: + input_shape = inputs_embeds.shape[:-1] + if attention_mask is None: + attention_mask = paddle.ones(input_shape, dtype="int64") + + extended_attention_mask = attention_mask.unsqueeze(1).unsqueeze(2) + extended_attention_mask = paddle.cast(extended_attention_mask, paddle.get_default_dtype()) + extended_attention_mask = (1.0 - extended_attention_mask) * -10000.0 + + embedding_output = self.embeddings(input_ids=input_ids, token_type_ids=token_type_ids, position_ids=position_ids, inputs_embeds=inputs_embeds) + encoder_outputs = self.encoder( + embedding_output, + attention_mask=extended_attention_mask, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + ) + pooled_output = self.pooler(encoder_outputs.last_hidden_state) if self.pooler is not None else None + return ModelOutput( + last_hidden_state=encoder_outputs.last_hidden_state, + pooler_output=pooled_output, + hidden_states=encoder_outputs.hidden_states, + attentions=encoder_outputs.attentions, + ) + + def save_pretrained(self, save_directory): + os.makedirs(save_directory, exist_ok=True) + self.config.save_pretrained(save_directory) + paddle.save(self.state_dict(), os.path.join(save_directory, "model_state.pdparams")) + + +class RobertaLMHead(nn.Layer): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + self.layer_norm = nn.LayerNorm(config.hidden_size, epsilon=config.layer_norm_eps) + self.bias = self.create_parameter( + shape=[config.vocab_size], + dtype=paddle.get_default_dtype(), + default_initializer=nn.initializer.Constant(0.0), + ) + + def forward(self, features, decoder_weight): + x = self.dense(features) + x = F.gelu(x) + x = self.layer_norm(x) + return paddle.matmul(x, decoder_weight, transpose_y=True) + self.bias + + +class RobertaForMaskedLM(nn.Layer): + def __init__(self, config): + super().__init__() + self.config = config + self.roberta = RobertaModel(config, add_pooling_layer=False) + self.lm_head = RobertaLMHead(config) + init_weights(self.lm_head, config) + + @classmethod + def from_pretrained(cls, path): + config = RobertaConfig.from_pretrained(path) + model = cls(config) + state_path = os.path.join(path, "model_state.pdparams") + if os.path.exists(state_path): + raw_state = paddle.load(state_path) + current_state = model.state_dict() + loaded_state = { + key: value + for key, value in raw_state.items() + if key in current_state and list(current_state[key].shape) == list(value.shape) + } + current_state.update(loaded_state) + model.set_state_dict(current_state) + print(f"Loaded {len(loaded_state)} RobertaForMaskedLM tensors from {state_path}") + return model + + def resize_token_embeddings(self, new_num_tokens): + self.roberta.resize_token_embeddings(new_num_tokens) + old_bias = self.lm_head.bias + old_num_tokens = old_bias.shape[0] + if new_num_tokens == old_num_tokens: + return self.roberta.get_input_embeddings() + new_bias = self.lm_head.create_parameter( + shape=[new_num_tokens], + dtype=paddle.get_default_dtype(), + default_initializer=nn.initializer.Constant(0.0), + ) + num_to_copy = min(old_num_tokens, new_num_tokens) + with paddle.no_grad(): + bias = new_bias.numpy() + bias[:num_to_copy] = old_bias.numpy()[:num_to_copy] + new_bias.set_value(bias) + self.lm_head.bias = new_bias + self.config.vocab_size = new_num_tokens + return self.roberta.get_input_embeddings() + + def forward(self, input_ids=None, attention_mask=None, labels=None, output_attentions=False, output_hidden_states=False): + outputs = self.roberta( + input_ids=input_ids, + attention_mask=attention_mask, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + ) + logits = self.lm_head(outputs.last_hidden_state, self.roberta.embeddings.word_embeddings.weight) + loss = None + if labels is not None: + loss = F.cross_entropy(logits.reshape([-1, self.config.vocab_size]), labels.reshape([-1]), ignore_index=-100) + return ModelOutput(loss=loss, logits=logits, hidden_states=outputs.hidden_states, attentions=outputs.attentions) + + def save_pretrained(self, save_directory): + os.makedirs(save_directory, exist_ok=True) + self.config.save_pretrained(save_directory) + paddle.save(self.state_dict(), os.path.join(save_directory, "model_state.pdparams")) diff --git a/ppmat/models/transpolymer/tokenizer.py b/ppmat/models/transpolymer/tokenizer.py new file mode 100644 index 00000000..3dd52fa5 --- /dev/null +++ b/ppmat/models/transpolymer/tokenizer.py @@ -0,0 +1,349 @@ +import json +import os +import urllib.request +from functools import lru_cache +from typing import Dict, List, Optional, Tuple + +import numpy as np +import regex as re + + +VOCAB_FILES_NAMES = { + "vocab_file": "vocab.json", + "merges_file": "merges.txt", +} + +PRETRAINED_VOCAB_FILES_MAP = { + "roberta-base": { + "vocab_file": "https://huggingface.co/roberta-base/resolve/main/vocab.json", + "merges_file": "https://huggingface.co/roberta-base/resolve/main/merges.txt", + } +} + + +@lru_cache() +def bytes_to_unicode(): + bs = list(range(ord("!"), ord("~") + 1)) + list(range(ord("隆"), ord("卢") + 1)) + list(range(ord("庐"), ord("每") + 1)) + cs = bs[:] + n = 0 + for b in range(2**8): + if b not in bs: + bs.append(b) + cs.append(2**8 + n) + n += 1 + cs = [chr(n) for n in cs] + return dict(zip(bs, cs)) + + +def get_pairs(word): + pairs = set() + prev_char = word[0] + for char in word[1:]: + pairs.add((prev_char, char)) + prev_char = char + return pairs + + +class PolymerSmilesTokenizer: + """Standalone Paddle-friendly port of the original TransPolymer tokenizer. + + The SMILES-aware regex and byte-level BPE logic are intentionally kept in sync + with the PyTorch/HuggingFace implementation used by the official project. + """ + + model_input_names = ["input_ids", "attention_mask"] + + def __init__( + self, + vocab_file, + merges_file, + errors="replace", + bos_token="", + eos_token="", + sep_token="", + cls_token="", + unk_token="", + pad_token="", + mask_token="", + add_prefix_space=False, + max_len=None, + **kwargs, + ): + with open(vocab_file, encoding="utf-8") as vocab_handle: + self.encoder: Dict[str, int] = json.load(vocab_handle) + self.decoder = {v: k for k, v in self.encoder.items()} + + with open(merges_file, encoding="utf-8") as merges_handle: + bpe_merges = merges_handle.read().split("\n")[1:-1] + bpe_merges = [tuple(merge.split()) for merge in bpe_merges] + self.bpe_ranks = dict(zip(bpe_merges, range(len(bpe_merges)))) + + self.errors = errors + self.byte_encoder = bytes_to_unicode() + self.byte_decoder = {v: k for k, v in self.byte_encoder.items()} + self.cache = {} + self.add_prefix_space = add_prefix_space + self.max_len = max_len + + self.bos_token = bos_token + self.eos_token = eos_token + self.sep_token = sep_token + self.cls_token = cls_token + self.unk_token = unk_token + self.pad_token = pad_token + self.mask_token = mask_token + + self.added_tokens_encoder: Dict[str, int] = {} + self.added_tokens_decoder: Dict[int, str] = {} + self._added_tokens_pattern = None + + smi_regex_pattern = r"(\-?[0-9]+\.?[0-9]*|\[|\]|SELF|Li|Be|Na|Mg|Al|K|Ca|Co|Zn|Ga|Ge|As|Se|Sn|Te|N|O|P|H|I|b|c|n|o|s|p|Br?|Cl?|Fe?|Ni?|Si?|\||\(|\)|\^|=|#|-|\+|\\|\/|@|\*|\.|\%|\$)" + self.pat = re.compile(smi_regex_pattern) + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path, max_len=None, **kwargs): + if os.path.isdir(pretrained_model_name_or_path): + vocab_file = os.path.join(pretrained_model_name_or_path, VOCAB_FILES_NAMES["vocab_file"]) + merges_file = os.path.join(pretrained_model_name_or_path, VOCAB_FILES_NAMES["merges_file"]) + elif pretrained_model_name_or_path in PRETRAINED_VOCAB_FILES_MAP: + cache_dir = kwargs.pop( + "cache_dir", + os.path.join(os.path.expanduser("~"), ".cache", "transpolymer", pretrained_model_name_or_path), + ) + os.makedirs(cache_dir, exist_ok=True) + vocab_file = os.path.join(cache_dir, VOCAB_FILES_NAMES["vocab_file"]) + merges_file = os.path.join(cache_dir, VOCAB_FILES_NAMES["merges_file"]) + for key, path in (("vocab_file", vocab_file), ("merges_file", merges_file)): + if not os.path.exists(path): + url = PRETRAINED_VOCAB_FILES_MAP[pretrained_model_name_or_path][key] + urllib.request.urlretrieve(url, path) + else: + raise ValueError(f"Cannot locate tokenizer files from {pretrained_model_name_or_path!r}") + + tokenizer = cls(vocab_file, merges_file, max_len=max_len, **kwargs) + added_tokens_file = os.path.join(pretrained_model_name_or_path, "added_tokens.json") + if os.path.isdir(pretrained_model_name_or_path) and os.path.exists(added_tokens_file): + with open(added_tokens_file, "r", encoding="utf-8") as f: + tokenizer.add_tokens(json.load(f)) + return tokenizer + + @property + def vocab_size(self): + return len(self.encoder) + + @property + def cls_token_id(self): + return self.convert_tokens_to_ids(self.cls_token) + + @property + def sep_token_id(self): + return self.convert_tokens_to_ids(self.sep_token) + + @property + def pad_token_id(self): + return self.convert_tokens_to_ids(self.pad_token) + + @property + def mask_token_id(self): + return self.convert_tokens_to_ids(self.mask_token) + + @property + def unk_token_id(self): + return self.convert_tokens_to_ids(self.unk_token) + + def __len__(self): + return len(self.encoder) + len(self.added_tokens_encoder) + + def get_vocab(self): + vocab = dict(self.encoder) + vocab.update(self.added_tokens_encoder) + return vocab + + def add_tokens(self, new_tokens): + if isinstance(new_tokens, str): + new_tokens = [new_tokens] + added = 0 + for token in new_tokens: + if token is None: + continue + token = str(token) + if token in self.encoder or token in self.added_tokens_encoder: + continue + index = len(self.encoder) + len(self.added_tokens_encoder) + self.added_tokens_encoder[token] = index + self.added_tokens_decoder[index] = token + added += 1 + if added: + self._refresh_added_tokens_pattern() + return added + + def _refresh_added_tokens_pattern(self): + tokens = sorted(self.added_tokens_encoder, key=len, reverse=True) + self._added_tokens_pattern = re.compile("|".join(re.escape(token) for token in tokens)) if tokens else None + + def bpe(self, token): + if token in self.cache: + return self.cache[token] + word = tuple(token) + pairs = get_pairs(word) + if not pairs: + return token + + while True: + bigram = min(pairs, key=lambda pair: self.bpe_ranks.get(pair, float("inf"))) + if bigram not in self.bpe_ranks: + break + first, second = bigram + new_word = [] + i = 0 + while i < len(word): + try: + j = word.index(first, i) + except ValueError: + new_word.extend(word[i:]) + break + new_word.extend(word[i:j]) + i = j + if word[i] == first and i < len(word) - 1 and word[i + 1] == second: + new_word.append(first + second) + i += 2 + else: + new_word.append(word[i]) + i += 1 + word = tuple(new_word) + if len(word) == 1: + break + pairs = get_pairs(word) + word = " ".join(word) + self.cache[token] = word + return word + + def _tokenize(self, text): + bpe_tokens = [] + for token in re.findall(self.pat, text): + token = "".join(self.byte_encoder[b] for b in token.encode("utf-8")) + bpe_tokens.extend(bpe_token for bpe_token in self.bpe(token).split(" ")) + return bpe_tokens + + def tokenize(self, text): + if not self._added_tokens_pattern: + return self._tokenize(text) + + tokens = [] + last_end = 0 + for match in self._added_tokens_pattern.finditer(text): + if match.start() > last_end: + tokens.extend(self._tokenize(text[last_end : match.start()])) + tokens.append(match.group(0)) + last_end = match.end() + if last_end < len(text): + tokens.extend(self._tokenize(text[last_end:])) + return tokens + + def convert_tokens_to_ids(self, tokens): + if isinstance(tokens, list): + return [self.convert_tokens_to_ids(token) for token in tokens] + if tokens in self.added_tokens_encoder: + return self.added_tokens_encoder[tokens] + return self.encoder.get(tokens, self.encoder.get(self.unk_token)) + + def convert_ids_to_tokens(self, ids): + if isinstance(ids, list): + return [self.convert_ids_to_tokens(index) for index in ids] + return self.added_tokens_decoder.get(ids, self.decoder.get(ids, self.unk_token)) + + def convert_tokens_to_string(self, tokens): + text = "".join(tokens) + return bytearray([self.byte_decoder[c] for c in text]).decode("utf-8", errors=self.errors) + + def build_inputs_with_special_tokens(self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None): + if token_ids_1 is None: + return [self.cls_token_id] + token_ids_0 + [self.sep_token_id] + return [self.cls_token_id] + token_ids_0 + [self.sep_token_id, self.sep_token_id] + token_ids_1 + [self.sep_token_id] + + def create_token_type_ids_from_sequences(self, token_ids_0, token_ids_1=None): + return [0] * len(self.build_inputs_with_special_tokens(token_ids_0, token_ids_1)) + + def get_special_tokens_mask(self, token_ids_0, token_ids_1=None, already_has_special_tokens=False): + if already_has_special_tokens: + return [1 if token_id in {self.cls_token_id, self.sep_token_id, self.pad_token_id} else 0 for token_id in token_ids_0] + if token_ids_1 is None: + return [1] + ([0] * len(token_ids_0)) + [1] + return [1] + ([0] * len(token_ids_0)) + [1, 1] + ([0] * len(token_ids_1)) + [1] + + def encode(self, text, add_special_tokens=True, max_length=None, truncation=False): + token_ids = self.convert_tokens_to_ids(self.tokenize(text)) + if max_length is None: + max_length = self.max_len + if add_special_tokens and max_length is not None and truncation: + token_ids = token_ids[: max(0, max_length - 2)] + elif max_length is not None and truncation: + token_ids = token_ids[:max_length] + if add_special_tokens: + token_ids = self.build_inputs_with_special_tokens(token_ids) + return token_ids + + def __call__( + self, + text, + add_special_tokens=True, + max_length=None, + return_token_type_ids=False, + padding=False, + truncation=False, + return_attention_mask=True, + return_tensors=None, + **kwargs, + ): + if max_length is None: + max_length = self.max_len + input_ids = self.encode(text, add_special_tokens=add_special_tokens, max_length=max_length, truncation=truncation) + attention_mask = [1] * len(input_ids) + + if padding == "max_length" and max_length is not None: + pad_len = max_length - len(input_ids) + if pad_len > 0: + input_ids = input_ids + [self.pad_token_id] * pad_len + attention_mask = attention_mask + [0] * pad_len + elif pad_len < 0 and truncation: + input_ids = input_ids[:max_length] + attention_mask = attention_mask[:max_length] + + output = {"input_ids": input_ids} + if return_attention_mask: + output["attention_mask"] = attention_mask + if return_token_type_ids: + output["token_type_ids"] = [0] * len(input_ids) + + if return_tensors is not None: + arrays = {k: np.asarray([v], dtype="int64") for k, v in output.items()} + if return_tensors in ("np", "numpy"): + return arrays + if return_tensors == "pd": + import paddle + + return {k: paddle.to_tensor(v, dtype="int64") for k, v in arrays.items()} + if return_tensors == "pt": + import torch + + return {k: torch.tensor(v, dtype=torch.long) for k, v in arrays.items()} + raise ValueError(f"Unsupported return_tensors={return_tensors!r}") + return output + + def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str, str]: + os.makedirs(save_directory, exist_ok=True) + vocab_file = os.path.join(save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]) + merge_file = os.path.join(save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]) + with open(vocab_file, "w", encoding="utf-8") as f: + json.dump(self.encoder, f, ensure_ascii=False) + with open(merge_file, "w", encoding="utf-8") as writer: + writer.write("#version: 0.2\n") + for bpe_tokens, _ in sorted(self.bpe_ranks.items(), key=lambda kv: kv[1]): + writer.write(" ".join(bpe_tokens) + "\n") + if self.added_tokens_encoder: + with open(os.path.join(save_directory, "added_tokens.json"), "w", encoding="utf-8") as f: + json.dump(list(self.added_tokens_encoder.keys()), f, ensure_ascii=False, indent=2) + return vocab_file, merge_file + + def save_pretrained(self, save_directory): + return self.save_vocabulary(save_directory) diff --git a/ppmat/models/transpolymer/transpolymer.py b/ppmat/models/transpolymer/transpolymer.py new file mode 100644 index 00000000..410fc896 --- /dev/null +++ b/ppmat/models/transpolymer/transpolymer.py @@ -0,0 +1,60 @@ +from copy import deepcopy + +import paddle +import paddle.nn as nn + +from ppmat.models.transpolymer.modeling import RobertaConfig +from ppmat.models.transpolymer.modeling import RobertaModel + + +class TransPolymerRegressor(nn.Layer): + """TransPolymer encoder with a regression head for polymer property prediction.""" + + def __init__( + self, + pretrained_model_path=None, + vocab_size=50265, + hidden_size=768, + intermediate_size=3072, + max_position_embeddings=514, + num_attention_heads=12, + num_hidden_layers=6, + hidden_dropout_prob=0.1, + attention_probs_dropout_prob=0.1, + drop_rate=0.1, + resize_vocab_size=None, + ): + super().__init__() + if pretrained_model_path: + encoder = RobertaModel.from_pretrained(pretrained_model_path) + else: + config = RobertaConfig( + vocab_size=vocab_size, + hidden_size=hidden_size, + intermediate_size=intermediate_size, + max_position_embeddings=max_position_embeddings, + num_attention_heads=num_attention_heads, + num_hidden_layers=num_hidden_layers, + hidden_dropout_prob=hidden_dropout_prob, + attention_probs_dropout_prob=attention_probs_dropout_prob, + ) + encoder = RobertaModel(config=config) + + encoder.config.hidden_dropout_prob = hidden_dropout_prob + encoder.config.attention_probs_dropout_prob = attention_probs_dropout_prob + self.encoder = deepcopy(encoder) + if resize_vocab_size is not None: + self.encoder.resize_token_embeddings(resize_vocab_size) + + hidden_size = self.encoder.config.hidden_size + self.regressor = nn.Sequential( + nn.Dropout(drop_rate), + nn.Linear(hidden_size, hidden_size), + nn.Silu(), + nn.Linear(hidden_size, 1), + ) + + def forward(self, input_ids, attention_mask): + outputs = self.encoder(input_ids=input_ids, attention_mask=attention_mask) + cls_embedding = outputs.last_hidden_state[:, 0, :] + return self.regressor(cls_embedding) diff --git a/property_prediction/configs/transpolymer/README.md b/property_prediction/configs/transpolymer/README.md new file mode 100644 index 00000000..4e1a4210 --- /dev/null +++ b/property_prediction/configs/transpolymer/README.md @@ -0,0 +1,129 @@ +# TransPolymer for Polymer Property Prediction + +## Overview + +TransPolymer is a RoBERTa-style language model for polymer sequence representation +learning. This configuration finetunes a converted Paddle checkpoint on the PE-I +polymer electrolyte conductivity benchmark. + +Reference implementation and paper: + +- Paper: TransPolymer: a Transformer-based language model for polymer property predictions +- Original implementation: https://github.com/ChangwenXu98/TransPolymer + +## Dataset + +The PE-I benchmark predicts `Conductivity [S/cm]`. + +Dataset files and converted Paddle checkpoint are packed together: + +- Download link: https://pan.baidu.com/s/1wPVmTP1H0x3qSZi8HV0r9g +- Extraction code: `1227` + +Archive layout: + +```text +transpolymer_artifacts/data/train_PE_I.csv +transpolymer_artifacts/data/test_PE_I.csv +transpolymer_artifacts/data/vocab/vocab_sup_PE_I.csv +transpolymer_artifacts/ckpt/pretrain.pt/config.json +transpolymer_artifacts/ckpt/pretrain.pt/model_state.pdparams +``` + +Place or copy the extracted files under the PaddleMaterials root as: + +```text +data/train_PE_I.csv +data/test_PE_I.csv +data/vocab/vocab_sup_PE_I.csv +ckpt/pretrain.pt/config.json +ckpt/pretrain.pt/model_state.pdparams +``` + +The train/test split follows the original TransPolymer repository. The training +split contains augmented PE-I training entries, while `test_PE_I.csv` is the +held-out PE-I test split. The supplementary vocabulary file adds PE-I-specific +tokens before finetuning. + +## Pretrained Checkpoint + +The archive above already contains the converted Paddle checkpoint. If starting +from the original PyTorch checkpoint, it can be converted with: + +```bash +python tools/convert_torch_ckpt_to_paddle.py \ + --torch_model ../TransPolymer-pytorch/ckpt/pretrain.pt/pytorch_model.bin \ + --torch_config ../TransPolymer-pytorch/ckpt/pretrain.pt/config.json \ + --output_dir ckpt/pretrain.pt +``` + +The resulting directory should contain: + +```text +ckpt/pretrain.pt/config.json +ckpt/pretrain.pt/model_state.pdparams +``` + +## Environment + +Verified environment: + +```text +Python 3.10 +paddlepaddle-gpu 3.3.1, CUDA 11.8 wheel +RTX 4090, NVIDIA driver 550.142 +``` + +## Training + +Run from PaddleMaterials root: + +```bash +python property_prediction/transpolymer_train.py \ + -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +``` + +## Configuration + +Key options are defined in `transpolymer_pe_i_finetune.yaml`: + +- `Tokenizer.blocksize`: maximum sequence length after tokenization. +- `Tokenizer.vocab_sup_file`: supplementary PE-I vocabulary file. +- `Model.pretrained_model_path`: converted Paddle checkpoint directory. +- `Optimizer.lr_rate`: encoder learning rate. +- `Optimizer.lr_rate_reg`: regression head learning rate. +- `Trainer.max_epochs`: maximum finetuning epochs. + +## Reference Results + +Validated local Paddle result after tokenizer and optimizer fixes: + +```text +PE-I test RMSE: 0.8993 +PE-I test R2: 0.4508 +``` + +Local PyTorch baseline in the same server environment: + +```text +PE-I test RMSE: 0.9813 +PE-I test R2: 0.3461 +``` + +Paper reference result: + +```text +PE-I test RMSE: approximately 0.67 +PE-I test R2: approximately 0.69 +``` + +The remaining gap to the paper result should be documented in the PR if exact +paper-level reproduction is not achieved. + +## Notes + +This contribution includes a transitional task-specific training entry because +PaddleMaterials' current generic property prediction trainer is graph-model +oriented, while TransPolymer consumes tokenized polymer strings. The model and +dataset are still placed under `ppmat/models` and `ppmat/datasets` so they can +be further integrated into the unified trainer later. diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml new file mode 100644 index 00000000..fbb728cf --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml @@ -0,0 +1,34 @@ +Global: + task: polymer_property_prediction + model_name: TransPolymer + property_name: "Conductivity [S/cm]" + +Tokenizer: + pretrained_name_or_path: roberta-base + blocksize: 411 + vocab_sup_file: ./data/vocab/vocab_sup_PE_I.csv + +Model: + pretrained_model_path: ./ckpt/pretrain.pt + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + +Dataset: + train_file: ./data/train_PE_I.csv + test_file: ./data/test_PE_I.csv + batch_size: 32 + num_workers: 8 + +Optimizer: + lr_rate: 0.00005 + lr_rate_reg: 0.0001 + weight_decay: 0.01 + warmup_ratio: 0.05 + +Trainer: + max_epochs: 20 + seed: 1 + tolerance: 5 + device: gpu + output_dir: ./output/transpolymer_pe_i diff --git a/property_prediction/transpolymer_train.py b/property_prediction/transpolymer_train.py new file mode 100644 index 00000000..269f3cfe --- /dev/null +++ b/property_prediction/transpolymer_train.py @@ -0,0 +1,186 @@ +import argparse +import os + +import numpy as np +import paddle +import paddle.nn as nn +import pandas as pd +import yaml +from paddle.io import DataLoader +from sklearn.preprocessing import StandardScaler + +from ppmat.datasets.transpolymer_dataset import TransPolymerCsvDataset +from ppmat.datasets.transpolymer_dataset import transpolymer_collate_fn +from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer +from ppmat.models.transpolymer.transpolymer import TransPolymerRegressor + + +class LinearWarmupDecay(paddle.optimizer.lr.LRScheduler): + def __init__(self, learning_rate, total_steps, warmup_steps=0, last_epoch=-1): + self.base_lr = learning_rate + self.total_steps = max(1, int(total_steps)) + self.warmup_steps = int(warmup_steps) + super().__init__(learning_rate=learning_rate, last_epoch=last_epoch) + + def get_lr(self): + step = max(0, self.last_epoch) + if self.warmup_steps > 0 and step < self.warmup_steps: + return self.base_lr * float(step) / float(max(1, self.warmup_steps)) + progress = float(step - self.warmup_steps) / float( + max(1, self.total_steps - self.warmup_steps) + ) + return self.base_lr * max(0.0, 1.0 - progress) + + +def inverse_transform(scaler, values): + return scaler.inverse_transform(np.asarray(values).reshape(-1, 1)).reshape(-1) + + +def r2_score(pred, true): + pred = np.asarray(pred).reshape(-1) + true = np.asarray(true).reshape(-1) + ss_res = np.sum((true - pred) ** 2) + ss_tot = np.sum((true - np.mean(true)) ** 2) + return float(1.0 - ss_res / ss_tot) if ss_tot != 0 else 0.0 + + +def evaluate(model, dataloader, scaler): + model.eval() + pred_all, true_all = [], [] + with paddle.no_grad(): + for batch in dataloader: + pred = model(batch["input_ids"], batch["attention_mask"]) + pred_all.append(pred.numpy().reshape(-1)) + true_all.append(batch["labels"].numpy().reshape(-1)) + pred = inverse_transform(scaler, np.concatenate(pred_all)) + true = inverse_transform(scaler, np.concatenate(true_all)) + rmse = float(np.sqrt(np.mean((pred - true) ** 2))) + return rmse, r2_score(pred, true) + + +def main(config): + paddle.seed(config["Trainer"].get("seed", 1)) + np.random.seed(config["Trainer"].get("seed", 1)) + paddle.set_device(config["Trainer"].get("device", "gpu")) + + tokenizer = PolymerSmilesTokenizer.from_pretrained( + config["Tokenizer"]["pretrained_name_or_path"], + max_len=config["Tokenizer"]["blocksize"], + ) + vocab_sup_file = config["Tokenizer"].get("vocab_sup_file") + if vocab_sup_file: + vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten().tolist() + tokenizer.add_tokens(vocab_sup) + + train_file = config["Dataset"]["train_file"] + test_file = config["Dataset"]["test_file"] + train_df = pd.read_csv(train_file) + scaler = StandardScaler() + scaler.fit(train_df.iloc[:, 1].values.reshape(-1, 1)) + label_mean = float(scaler.mean_[0]) + label_std = float(scaler.scale_[0]) + + train_dataset = TransPolymerCsvDataset( + train_file, + tokenizer=tokenizer, + blocksize=config["Tokenizer"]["blocksize"], + label_mean=label_mean, + label_std=label_std, + ) + test_dataset = TransPolymerCsvDataset( + test_file, + tokenizer=tokenizer, + blocksize=config["Tokenizer"]["blocksize"], + label_mean=label_mean, + label_std=label_std, + ) + train_loader = DataLoader( + train_dataset, + batch_size=config["Dataset"]["batch_size"], + shuffle=True, + num_workers=config["Dataset"].get("num_workers", 0), + collate_fn=transpolymer_collate_fn, + ) + test_loader = DataLoader( + test_dataset, + batch_size=config["Dataset"]["batch_size"], + shuffle=False, + num_workers=config["Dataset"].get("num_workers", 0), + collate_fn=transpolymer_collate_fn, + ) + + model = TransPolymerRegressor( + pretrained_model_path=config["Model"].get("pretrained_model_path"), + resize_vocab_size=len(tokenizer), + drop_rate=config["Model"].get("drop_rate", 0.1), + hidden_dropout_prob=config["Model"].get("hidden_dropout_prob", 0.1), + attention_probs_dropout_prob=config["Model"].get( + "attention_probs_dropout_prob", 0.1 + ), + ) + + total_steps = len(train_loader) * config["Trainer"]["max_epochs"] + warmup_steps = int(total_steps * config["Optimizer"].get("warmup_ratio", 0.05)) + lr_scheduler = LinearWarmupDecay( + config["Optimizer"]["lr_rate"], total_steps, warmup_steps + ) + regressor_lr_scale = config["Optimizer"]["lr_rate_reg"] / config["Optimizer"]["lr_rate"] + optimizer = paddle.optimizer.AdamW( + learning_rate=lr_scheduler, + parameters=[ + {"params": model.encoder.parameters(), "learning_rate": 1.0, "weight_decay": 0.0}, + { + "params": model.regressor.parameters(), + "learning_rate": regressor_lr_scale, + "weight_decay": config["Optimizer"].get("weight_decay", 0.01), + }, + ], + ) + loss_fn = nn.MSELoss() + + output_dir = config["Trainer"]["output_dir"] + os.makedirs(output_dir, exist_ok=True) + best_r2 = -float("inf") + stale_epochs = 0 + for epoch in range(config["Trainer"]["max_epochs"]): + model.train() + for batch in train_loader: + pred = model(batch["input_ids"], batch["attention_mask"]) + loss = loss_fn(pred.squeeze(), batch["labels"].squeeze()) + loss.backward() + optimizer.step() + optimizer.clear_grad() + lr_scheduler.step() + + train_rmse, train_r2 = evaluate(model, train_loader, scaler) + test_rmse, test_r2 = evaluate(model, test_loader, scaler) + print(f"epoch: {epoch + 1}/{config['Trainer']['max_epochs']}") + print(f"train RMSE = {train_rmse:.6f}") + print(f"train r^2 = {train_r2:.6f}") + print(f"test RMSE = {test_rmse:.6f}") + print(f"test r^2 = {test_r2:.6f}") + + state = {"model": model.state_dict(), "optimizer": optimizer.state_dict(), "epoch": epoch} + paddle.save(state, os.path.join(output_dir, "latest.pdparams")) + if test_r2 > best_r2: + best_r2 = test_r2 + stale_epochs = 0 + paddle.save(state, os.path.join(output_dir, "best.pdparams")) + else: + stale_epochs += 1 + if stale_epochs >= config["Trainer"].get("tolerance", 5): + print("Early stop") + break + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "-c", + "--config", + default="./property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml", + ) + args = parser.parse_args() + with open(args.config, "r", encoding="utf-8") as f: + cfg = yaml.safe_load(f) + main(cfg) diff --git a/test/test_transpolymer_smoke.py b/test/test_transpolymer_smoke.py new file mode 100644 index 00000000..c5fb40ef --- /dev/null +++ b/test/test_transpolymer_smoke.py @@ -0,0 +1,38 @@ +import paddle + +from ppmat.models.transpolymer.modeling import RobertaConfig +from ppmat.models.transpolymer.modeling import RobertaModel +from ppmat.models.transpolymer.transpolymer import TransPolymerRegressor + + +def test_transpolymer_model_forward(): + config = RobertaConfig( + vocab_size=128, + hidden_size=32, + num_hidden_layers=1, + num_attention_heads=4, + intermediate_size=64, + max_position_embeddings=32, + type_vocab_size=1, + ) + model = RobertaModel(config) + input_ids = paddle.randint(0, 128, shape=[2, 16], dtype="int64") + attention_mask = paddle.ones([2, 16], dtype="int64") + outputs = model(input_ids=input_ids, attention_mask=attention_mask) + assert list(outputs.last_hidden_state.shape) == [2, 16, 32] + + +def test_transpolymer_regressor_forward(): + model = TransPolymerRegressor( + vocab_size=128, + hidden_size=32, + intermediate_size=64, + max_position_embeddings=32, + num_attention_heads=4, + num_hidden_layers=1, + resize_vocab_size=128, + ) + input_ids = paddle.randint(0, 128, shape=[2, 16], dtype="int64") + attention_mask = paddle.ones([2, 16], dtype="int64") + pred = model(input_ids, attention_mask) + assert list(pred.shape) == [2, 1] From 67879a83ea8e85857a5da965ca17620acaa8b3c8 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Mon, 22 Jun 2026 19:36:33 +0800 Subject: [PATCH 2/7] Refactor TransPolymer to use PaddleMaterials trainer --- ppmat/datasets/__init__.py | 1 - ppmat/datasets/transpolymer_dataset.py | 127 +++++++++++++----- ppmat/metrics/__init__.py | 18 +++ ppmat/models/transpolymer/transpolymer.py | 57 +++++++- .../configs/transpolymer/README.md | 101 ++++++-------- .../transpolymer_pe_i_finetune.yaml | 34 ----- property_prediction/transpolymer_train.py | 124 ++++++++++------- 7 files changed, 282 insertions(+), 180 deletions(-) delete mode 100644 property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml diff --git a/ppmat/datasets/__init__.py b/ppmat/datasets/__init__.py index d77ca8b6..59e1e7b7 100644 --- a/ppmat/datasets/__init__.py +++ b/ppmat/datasets/__init__.py @@ -51,7 +51,6 @@ from ppmat.datasets.transform import build_transforms from ppmat.utils import logger from ppmat.datasets.transpolymer_dataset import TransPolymerCsvDataset -from ppmat.datasets.transpolymer_dataset import transpolymer_collate_fn __all__ = [ "MP20Dataset", diff --git a/ppmat/datasets/transpolymer_dataset.py b/ppmat/datasets/transpolymer_dataset.py index 345654e3..87d8fb54 100644 --- a/ppmat/datasets/transpolymer_dataset.py +++ b/ppmat/datasets/transpolymer_dataset.py @@ -1,30 +1,101 @@ -import numpy as np +# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. + +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at + +# http://www.apache.org/licenses/LICENSE-2.0 + +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import absolute_import +from __future__ import annotations + +from typing import Callable +from typing import Optional + import pandas as pd import paddle from paddle.io import Dataset +from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer +from ppmat.utils import logger + class TransPolymerCsvDataset(Dataset): - """CSV dataset for TransPolymer downstream regression. + """TransPolymer CSV Dataset Handler + + This class loads polymer SMILES strings and regression targets from CSV files + and tokenizes the strings with the TransPolymer tokenizer. - The input CSV is expected to contain the polymer sequence in the first column and - the regression target in the second column. + **Data Format** + The dataset is stored in CSV format. The first column is the polymer sequence + and the target property can be selected by column name or by position. + + **Example Row:** + ```csv + smiles,Conductivity [S/cm] + [*]CC[*],-3.12 + ``` + + Args: + path (str, optional): Path to the CSV file. Defaults to None. + property_names (Optional[list[str]], optional): Target property names. Only + one target is supported currently. Defaults to None. + tokenizer_name_or_path (str, optional): Tokenizer checkpoint or local path. + Defaults to "roberta-base". + vocab_sup_file (Optional[str], optional): Supplementary vocabulary CSV path. + Defaults to None. + blocksize (int, optional): Maximum token sequence length. Defaults to 411. + transforms (Optional[Callable], optional): Preprocess transforms for each + sample. Defaults to None. + file_path (str, optional): Deprecated alias of `path`. Defaults to None. + label_name (str, optional): Deprecated alias used when `property_names` is + not set. Defaults to None. """ def __init__( self, - file_path, - tokenizer, - blocksize=411, - label_mean=None, - label_std=None, + path: Optional[str] = None, + property_names: Optional[list[str]] = None, + tokenizer=None, + tokenizer_name_or_path: str = "roberta-base", + vocab_sup_file: Optional[str] = None, + blocksize: int = 411, + transforms: Optional[Callable] = None, + file_path: Optional[str] = None, + label_name: Optional[str] = None, + **kwargs, # for compatibility ): super().__init__() - self.data = pd.read_csv(file_path) - self.tokenizer = tokenizer + if path is None: + path = file_path + if path is None: + raise ValueError("`path` must be specified for TransPolymerCsvDataset.") + + if isinstance(property_names, str): + property_names = [property_names] + if property_names is not None and len(property_names) != 1: + raise NotImplementedError( + "TransPolymerCsvDataset currently supports single-target regression." + ) + + self.path = path + self.data = pd.read_csv(path) + self.tokenizer = tokenizer or PolymerSmilesTokenizer.from_pretrained( + tokenizer_name_or_path, max_len=blocksize + ) + if vocab_sup_file is not None: + vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten() + self.tokenizer.add_tokens(vocab_sup.tolist()) self.blocksize = blocksize - self.label_mean = label_mean - self.label_std = label_std + self.property_names = property_names or [label_name or self.data.columns[1]] + self.transforms = transforms + logger.info(f"Load {len(self.data)} samples from {path}") def __len__(self): return len(self.data) @@ -32,9 +103,10 @@ def __len__(self): def __getitem__(self, idx): row = self.data.iloc[idx] seq = str(row.iloc[0]) - label = float(row.iloc[1]) - if self.label_mean is not None and self.label_std is not None: - label = (label - self.label_mean) / self.label_std + property_name = self.property_names[0] + label = ( + float(row[property_name]) if property_name in row else float(row.iloc[1]) + ) encoding = self.tokenizer( seq, add_special_tokens=True, @@ -44,18 +116,13 @@ def __getitem__(self, idx): truncation=True, return_attention_mask=True, ) - return { - "input_ids": np.asarray(encoding["input_ids"], dtype="int64"), - "attention_mask": np.asarray(encoding["attention_mask"], dtype="int64"), - "labels": np.asarray([label], dtype="float32"), + sample = { + "input_ids": paddle.to_tensor(encoding["input_ids"], dtype="int64"), + "attention_mask": paddle.to_tensor( + encoding["attention_mask"], dtype="int64" + ), + property_name: paddle.to_tensor([label], dtype="float32"), } - - -def transpolymer_collate_fn(batch): - return { - "input_ids": paddle.to_tensor([item["input_ids"] for item in batch], dtype="int64"), - "attention_mask": paddle.to_tensor( - [item["attention_mask"] for item in batch], dtype="int64" - ), - "labels": paddle.to_tensor([item["labels"] for item in batch], dtype="float32"), - } + if self.transforms is not None: + sample = self.transforms(sample) + return sample diff --git a/ppmat/metrics/__init__.py b/ppmat/metrics/__init__.py index a0e3fb75..74333b57 100644 --- a/ppmat/metrics/__init__.py +++ b/ppmat/metrics/__init__.py @@ -23,11 +23,29 @@ "build_metric", "CSPMetric", "DiffNMRStreamingAdapter", + "R2Metric", + "RMSEMetric", # "DiffNMRMetric", # "NLL", "CrossEntropyMetric", "SumExceptBatchMetric", "SumExceptBatchKL", ] +class R2Metric: + def __call__(self, pred, label): + pred = pred.reshape([-1]) + label = label.reshape([-1]) + ss_res = paddle.sum((label - pred) ** 2) + ss_tot = paddle.sum((label - paddle.mean(label)) ** 2) + one = paddle.ones([], dtype=pred.dtype) + zero = paddle.zeros([], dtype=pred.dtype) + return paddle.where(ss_tot > 0, one - ss_res / ss_tot, zero) + + +class RMSEMetric: + def __call__(self, pred, label): + return paddle.sqrt(paddle.mean((pred - label) ** 2)) + + class IgnoreNanMetricWrapper: def __init__(self, **metric_cfg): self._metric_cfg = metric_cfg diff --git a/ppmat/models/transpolymer/transpolymer.py b/ppmat/models/transpolymer/transpolymer.py index 410fc896..4fc8baef 100644 --- a/ppmat/models/transpolymer/transpolymer.py +++ b/ppmat/models/transpolymer/transpolymer.py @@ -2,9 +2,12 @@ import paddle import paddle.nn as nn +import paddle.nn.functional as F +import pandas as pd from ppmat.models.transpolymer.modeling import RobertaConfig from ppmat.models.transpolymer.modeling import RobertaModel +from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer class TransPolymerRegressor(nn.Layer): @@ -23,6 +26,13 @@ def __init__( attention_probs_dropout_prob=0.1, drop_rate=0.1, resize_vocab_size=None, + tokenizer_name_or_path=None, + vocab_sup_file=None, + blocksize=411, + property_name="Conductivity [S/cm]", + data_mean=0.0, + data_std=1.0, + loss_type="mse_loss", ): super().__init__() if pretrained_model_path: @@ -43,8 +53,27 @@ def __init__( encoder.config.hidden_dropout_prob = hidden_dropout_prob encoder.config.attention_probs_dropout_prob = attention_probs_dropout_prob self.encoder = deepcopy(encoder) + if resize_vocab_size is None and vocab_sup_file is not None: + tokenizer = PolymerSmilesTokenizer.from_pretrained( + tokenizer_name_or_path or "roberta-base", max_len=blocksize + ) + vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten() + tokenizer.add_tokens(vocab_sup.tolist()) + resize_vocab_size = len(tokenizer) if resize_vocab_size is not None: self.encoder.resize_token_embeddings(resize_vocab_size) + if isinstance(property_name, list): + self.property_name = property_name[0] + else: + self.property_name = property_name + self.register_buffer(tensor=paddle.to_tensor(data_mean), name="data_mean") + self.register_buffer(tensor=paddle.to_tensor(data_std), name="data_std") + if loss_type == "mse_loss": + self.loss_fn = F.mse_loss + elif loss_type == "l1_loss": + self.loss_fn = F.l1_loss + else: + raise ValueError(f"Unknown loss type {loss_type}.") hidden_size = self.encoder.config.hidden_size self.regressor = nn.Sequential( @@ -54,7 +83,33 @@ def __init__( nn.Linear(hidden_size, 1), ) - def forward(self, input_ids, attention_mask): + def normalize(self, tensor): + return (tensor - self.data_mean) / self.data_std + + def unnormalize(self, tensor): + return tensor * self.data_std + self.data_mean + + def _forward(self, input_ids, attention_mask): outputs = self.encoder(input_ids=input_ids, attention_mask=attention_mask) cls_embedding = outputs.last_hidden_state[:, 0, :] return self.regressor(cls_embedding) + + def forward(self, data, attention_mask=None, return_loss=True, return_prediction=True): + if not isinstance(data, dict): + return self._forward(data, attention_mask) + + assert ( + return_loss or return_prediction + ), "At least one of return_loss or return_prediction must be True." + pred = self._forward(data["input_ids"], data["attention_mask"]) + + loss_dict = {} + if return_loss: + label = self.normalize(data[self.property_name]) + loss_dict["loss"] = self.loss_fn(input=pred, label=label) + + pred_dict = {} + if return_prediction: + pred_dict[self.property_name] = self.unnormalize(pred) + + return {"loss_dict": loss_dict, "pred_dict": pred_dict} diff --git a/property_prediction/configs/transpolymer/README.md b/property_prediction/configs/transpolymer/README.md index 4e1a4210..12d7371e 100644 --- a/property_prediction/configs/transpolymer/README.md +++ b/property_prediction/configs/transpolymer/README.md @@ -15,40 +15,21 @@ Reference implementation and paper: The PE-I benchmark predicts `Conductivity [S/cm]`. -Dataset files and converted Paddle checkpoint are packed together: - -- Download link: https://pan.baidu.com/s/1wPVmTP1H0x3qSZi8HV0r9g -- Extraction code: `1227` - -Archive layout: - -```text -transpolymer_artifacts/data/train_PE_I.csv -transpolymer_artifacts/data/test_PE_I.csv -transpolymer_artifacts/data/vocab/vocab_sup_PE_I.csv -transpolymer_artifacts/ckpt/pretrain.pt/config.json -transpolymer_artifacts/ckpt/pretrain.pt/model_state.pdparams -``` - -Place or copy the extracted files under the PaddleMaterials root as: +Expected files: ```text data/train_PE_I.csv data/test_PE_I.csv data/vocab/vocab_sup_PE_I.csv -ckpt/pretrain.pt/config.json -ckpt/pretrain.pt/model_state.pdparams ``` -The train/test split follows the original TransPolymer repository. The training -split contains augmented PE-I training entries, while `test_PE_I.csv` is the -held-out PE-I test split. The supplementary vocabulary file adds PE-I-specific -tokens before finetuning. +The train/test split follows the original TransPolymer repository. Dataset files +and pretrained checkpoints should be uploaded to BCE by the reviewer and the +download links should be filled in here before merge. ## Pretrained Checkpoint -The archive above already contains the converted Paddle checkpoint. If starting -from the original PyTorch checkpoint, it can be converted with: +The original PyTorch checkpoint can be converted with: ```bash python tools/convert_torch_ckpt_to_paddle.py \ @@ -79,7 +60,7 @@ RTX 4090, NVIDIA driver 550.142 Run from PaddleMaterials root: ```bash -python property_prediction/transpolymer_train.py \ +python property_prediction/train.py \ -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml ``` @@ -87,43 +68,37 @@ python property_prediction/transpolymer_train.py \ Key options are defined in `transpolymer_pe_i_finetune.yaml`: -- `Tokenizer.blocksize`: maximum sequence length after tokenization. -- `Tokenizer.vocab_sup_file`: supplementary PE-I vocabulary file. -- `Model.pretrained_model_path`: converted Paddle checkpoint directory. -- `Optimizer.lr_rate`: encoder learning rate. -- `Optimizer.lr_rate_reg`: regression head learning rate. +- `Dataset.*.dataset.__init_params__.blocksize`: maximum sequence length after tokenization. +- `Dataset.*.dataset.__init_params__.vocab_sup_file`: supplementary PE-I vocabulary file. +- `Model.__init_params__.pretrained_model_path`: converted Paddle checkpoint directory. +- `Optimizer.lr.__init_params__.learning_rate`: finetuning learning rate. - `Trainer.max_epochs`: maximum finetuning epochs. -## Reference Results - -Validated local Paddle result after tokenizer and optimizer fixes: - -```text -PE-I test RMSE: 0.8993 -PE-I test R2: 0.4508 -``` - -Local PyTorch baseline in the same server environment: - -```text -PE-I test RMSE: 0.9813 -PE-I test R2: 0.3461 -``` - -Paper reference result: - -```text -PE-I test RMSE: approximately 0.67 -PE-I test R2: approximately 0.69 -``` - -The remaining gap to the paper result should be documented in the PR if exact -paper-level reproduction is not achieved. - -## Notes - -This contribution includes a transitional task-specific training entry because -PaddleMaterials' current generic property prediction trainer is graph-model -oriented, while TransPolymer consumes tokenized polymer strings. The model and -dataset are still placed under `ppmat/models` and `ppmat/datasets` so they can -be further integrated into the unified trainer later. +## Results + + + + + + + + + + + + + + + + + + + + + + + + + + +
Model NameDatasetPropertyRMSE / R2(Test dataset)GPUsTraining timeConfigCheckpoint | Log
transpolymer_pe_i_finetunePE-IConductivity [S/cm]0.8993 / 0.45081~3 hourstranspolymer_pe_i_finetunecheckpoint | log (code: 1227)
diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml deleted file mode 100644 index fbb728cf..00000000 --- a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +++ /dev/null @@ -1,34 +0,0 @@ -Global: - task: polymer_property_prediction - model_name: TransPolymer - property_name: "Conductivity [S/cm]" - -Tokenizer: - pretrained_name_or_path: roberta-base - blocksize: 411 - vocab_sup_file: ./data/vocab/vocab_sup_PE_I.csv - -Model: - pretrained_model_path: ./ckpt/pretrain.pt - drop_rate: 0.1 - hidden_dropout_prob: 0.1 - attention_probs_dropout_prob: 0.1 - -Dataset: - train_file: ./data/train_PE_I.csv - test_file: ./data/test_PE_I.csv - batch_size: 32 - num_workers: 8 - -Optimizer: - lr_rate: 0.00005 - lr_rate_reg: 0.0001 - weight_decay: 0.01 - warmup_ratio: 0.05 - -Trainer: - max_epochs: 20 - seed: 1 - tolerance: 5 - device: gpu - output_dir: ./output/transpolymer_pe_i diff --git a/property_prediction/transpolymer_train.py b/property_prediction/transpolymer_train.py index 269f3cfe..4aeba70f 100644 --- a/property_prediction/transpolymer_train.py +++ b/property_prediction/transpolymer_train.py @@ -9,8 +9,8 @@ from paddle.io import DataLoader from sklearn.preprocessing import StandardScaler +from ppmat.datasets import collate_fn from ppmat.datasets.transpolymer_dataset import TransPolymerCsvDataset -from ppmat.datasets.transpolymer_dataset import transpolymer_collate_fn from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer from ppmat.models.transpolymer.transpolymer import TransPolymerRegressor @@ -44,6 +44,44 @@ def r2_score(pred, true): return float(1.0 - ss_res / ss_tot) if ss_tot != 0 else 0.0 +def build_dataset(split_config, tokenizer, label_mean, label_std): + dataset_config = split_config["dataset"] + dataset_name = dataset_config["__class_name__"] + dataset_params = dict(dataset_config["__init_params__"]) + dataset_params.update( + { + "tokenizer": tokenizer, + "label_mean": label_mean, + "label_std": label_std, + } + ) + if dataset_name != "TransPolymerCsvDataset": + raise ValueError(f"Unsupported TransPolymer dataset: {dataset_name}") + return TransPolymerCsvDataset(**dataset_params) + + +def build_dataloader(split_config, dataset): + loader_config = dict(split_config.get("loader", {})) + sampler_config = split_config["sampler"] + sampler_name = sampler_config["__class_name__"] + sampler_params = dict(sampler_config["__init_params__"]) + sampler_cls = getattr(paddle.io, sampler_name) + batch_sampler = sampler_cls(dataset, **sampler_params) + + collator_name = loader_config.pop("collate_fn", "DefaultCollator") + collator_params = loader_config.pop("collate_params", {}) + collator_cls = getattr(collate_fn, collator_name) + collator = collator_cls(**collator_params) + + return DataLoader( + dataset=dataset, + batch_sampler=batch_sampler, + return_list=True, + collate_fn=collator, + **loader_config, + ) + + def evaluate(model, dataloader, scaler): model.eval() pred_all, true_all = [], [] @@ -59,9 +97,13 @@ def evaluate(model, dataloader, scaler): def main(config): - paddle.seed(config["Trainer"].get("seed", 1)) - np.random.seed(config["Trainer"].get("seed", 1)) - paddle.set_device(config["Trainer"].get("device", "gpu")) + trainer_config = config["Trainer"] + optimizer_config = config["Optimizer"]["__init_params__"] + model_config = config["Model"]["__init_params__"] + + paddle.seed(trainer_config.get("seed", 1)) + np.random.seed(trainer_config.get("seed", 1)) + paddle.set_device(trainer_config.get("device", "gpu")) tokenizer = PolymerSmilesTokenizer.from_pretrained( config["Tokenizer"]["pretrained_name_or_path"], @@ -72,59 +114,37 @@ def main(config): vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten().tolist() tokenizer.add_tokens(vocab_sup) - train_file = config["Dataset"]["train_file"] - test_file = config["Dataset"]["test_file"] + train_config = config["Dataset"]["train"] + test_config = config["Dataset"]["test"] + train_file = train_config["dataset"]["__init_params__"]["file_path"] train_df = pd.read_csv(train_file) scaler = StandardScaler() scaler.fit(train_df.iloc[:, 1].values.reshape(-1, 1)) label_mean = float(scaler.mean_[0]) label_std = float(scaler.scale_[0]) - train_dataset = TransPolymerCsvDataset( - train_file, - tokenizer=tokenizer, - blocksize=config["Tokenizer"]["blocksize"], - label_mean=label_mean, - label_std=label_std, - ) - test_dataset = TransPolymerCsvDataset( - test_file, - tokenizer=tokenizer, - blocksize=config["Tokenizer"]["blocksize"], - label_mean=label_mean, - label_std=label_std, - ) - train_loader = DataLoader( - train_dataset, - batch_size=config["Dataset"]["batch_size"], - shuffle=True, - num_workers=config["Dataset"].get("num_workers", 0), - collate_fn=transpolymer_collate_fn, - ) - test_loader = DataLoader( - test_dataset, - batch_size=config["Dataset"]["batch_size"], - shuffle=False, - num_workers=config["Dataset"].get("num_workers", 0), - collate_fn=transpolymer_collate_fn, - ) + train_dataset = build_dataset(train_config, tokenizer, label_mean, label_std) + test_dataset = build_dataset(test_config, tokenizer, label_mean, label_std) + train_loader = build_dataloader(train_config, train_dataset) + test_loader = build_dataloader(test_config, test_dataset) + model_name = config["Model"]["__class_name__"] + if model_name != "TransPolymerRegressor": + raise ValueError(f"Unsupported TransPolymer model: {model_name}") + model_config = dict(model_config) + model_config["resize_vocab_size"] = len(tokenizer) model = TransPolymerRegressor( - pretrained_model_path=config["Model"].get("pretrained_model_path"), - resize_vocab_size=len(tokenizer), - drop_rate=config["Model"].get("drop_rate", 0.1), - hidden_dropout_prob=config["Model"].get("hidden_dropout_prob", 0.1), - attention_probs_dropout_prob=config["Model"].get( - "attention_probs_dropout_prob", 0.1 - ), + **model_config, ) - total_steps = len(train_loader) * config["Trainer"]["max_epochs"] - warmup_steps = int(total_steps * config["Optimizer"].get("warmup_ratio", 0.05)) + if config["Optimizer"]["__class_name__"] != "AdamW": + raise ValueError("TransPolymer finetuning currently supports AdamW only.") + total_steps = len(train_loader) * trainer_config["max_epochs"] + warmup_steps = int(total_steps * optimizer_config.get("warmup_ratio", 0.05)) lr_scheduler = LinearWarmupDecay( - config["Optimizer"]["lr_rate"], total_steps, warmup_steps + optimizer_config["lr_rate"], total_steps, warmup_steps ) - regressor_lr_scale = config["Optimizer"]["lr_rate_reg"] / config["Optimizer"]["lr_rate"] + regressor_lr_scale = optimizer_config["lr_rate_reg"] / optimizer_config["lr_rate"] optimizer = paddle.optimizer.AdamW( learning_rate=lr_scheduler, parameters=[ @@ -132,17 +152,17 @@ def main(config): { "params": model.regressor.parameters(), "learning_rate": regressor_lr_scale, - "weight_decay": config["Optimizer"].get("weight_decay", 0.01), + "weight_decay": optimizer_config.get("weight_decay", 0.01), }, ], ) loss_fn = nn.MSELoss() - output_dir = config["Trainer"]["output_dir"] + output_dir = trainer_config["output_dir"] os.makedirs(output_dir, exist_ok=True) best_r2 = -float("inf") stale_epochs = 0 - for epoch in range(config["Trainer"]["max_epochs"]): + for epoch in range(trainer_config["max_epochs"]): model.train() for batch in train_loader: pred = model(batch["input_ids"], batch["attention_mask"]) @@ -154,21 +174,23 @@ def main(config): train_rmse, train_r2 = evaluate(model, train_loader, scaler) test_rmse, test_r2 = evaluate(model, test_loader, scaler) - print(f"epoch: {epoch + 1}/{config['Trainer']['max_epochs']}") + print(f"epoch: {epoch + 1}/{trainer_config['max_epochs']}") print(f"train RMSE = {train_rmse:.6f}") print(f"train r^2 = {train_r2:.6f}") print(f"test RMSE = {test_rmse:.6f}") print(f"test r^2 = {test_r2:.6f}") state = {"model": model.state_dict(), "optimizer": optimizer.state_dict(), "epoch": epoch} - paddle.save(state, os.path.join(output_dir, "latest.pdparams")) + save_freq = trainer_config.get("save_freq", 1) + if save_freq and (epoch + 1) % save_freq == 0: + paddle.save(state, os.path.join(output_dir, "latest.pdparams")) if test_r2 > best_r2: best_r2 = test_r2 stale_epochs = 0 paddle.save(state, os.path.join(output_dir, "best.pdparams")) else: stale_epochs += 1 - if stale_epochs >= config["Trainer"].get("tolerance", 5): + if stale_epochs >= trainer_config.get("tolerance", 5): print("Early stop") break From 53f3321ee29ea8cab83d659affe1803d7039dae0 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Mon, 22 Jun 2026 22:25:56 +0800 Subject: [PATCH 3/7] =?UTF-8?q?=E4=BF=AE=E6=94=B9readme=E5=92=8C=E5=8A=A0c?= =?UTF-8?q?ache?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ppmat/datasets/transpolymer_dataset.py | 39 +--- ppmat/models/transpolymer/transpolymer.py | 65 +++++- .../configs/transpolymer/README.md | 90 ++++---- .../transpolymer_pe_i_finetune.yaml | 138 ++++++++++++ property_prediction/transpolymer_train.py | 208 ------------------ 5 files changed, 247 insertions(+), 293 deletions(-) create mode 100644 property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml delete mode 100644 property_prediction/transpolymer_train.py diff --git a/ppmat/datasets/transpolymer_dataset.py b/ppmat/datasets/transpolymer_dataset.py index 87d8fb54..3f40a88e 100644 --- a/ppmat/datasets/transpolymer_dataset.py +++ b/ppmat/datasets/transpolymer_dataset.py @@ -22,15 +22,14 @@ import paddle from paddle.io import Dataset -from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer from ppmat.utils import logger class TransPolymerCsvDataset(Dataset): """TransPolymer CSV Dataset Handler - This class loads polymer SMILES strings and regression targets from CSV files - and tokenizes the strings with the TransPolymer tokenizer. + This class loads polymer SMILES strings and regression targets from CSV files. + Tokenization and model input construction are handled by the TransPolymer model. **Data Format** The dataset is stored in CSV format. The first column is the polymer sequence @@ -46,11 +45,8 @@ class TransPolymerCsvDataset(Dataset): path (str, optional): Path to the CSV file. Defaults to None. property_names (Optional[list[str]], optional): Target property names. Only one target is supported currently. Defaults to None. - tokenizer_name_or_path (str, optional): Tokenizer checkpoint or local path. - Defaults to "roberta-base". - vocab_sup_file (Optional[str], optional): Supplementary vocabulary CSV path. - Defaults to None. - blocksize (int, optional): Maximum token sequence length. Defaults to 411. + smiles_key (str, optional): Key used for returning polymer sequences. + Defaults to "smiles". transforms (Optional[Callable], optional): Preprocess transforms for each sample. Defaults to None. file_path (str, optional): Deprecated alias of `path`. Defaults to None. @@ -62,10 +58,7 @@ def __init__( self, path: Optional[str] = None, property_names: Optional[list[str]] = None, - tokenizer=None, - tokenizer_name_or_path: str = "roberta-base", - vocab_sup_file: Optional[str] = None, - blocksize: int = 411, + smiles_key: str = "smiles", transforms: Optional[Callable] = None, file_path: Optional[str] = None, label_name: Optional[str] = None, @@ -86,13 +79,7 @@ def __init__( self.path = path self.data = pd.read_csv(path) - self.tokenizer = tokenizer or PolymerSmilesTokenizer.from_pretrained( - tokenizer_name_or_path, max_len=blocksize - ) - if vocab_sup_file is not None: - vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten() - self.tokenizer.add_tokens(vocab_sup.tolist()) - self.blocksize = blocksize + self.smiles_key = smiles_key self.property_names = property_names or [label_name or self.data.columns[1]] self.transforms = transforms logger.info(f"Load {len(self.data)} samples from {path}") @@ -107,20 +94,8 @@ def __getitem__(self, idx): label = ( float(row[property_name]) if property_name in row else float(row.iloc[1]) ) - encoding = self.tokenizer( - seq, - add_special_tokens=True, - max_length=self.blocksize, - return_token_type_ids=False, - padding="max_length", - truncation=True, - return_attention_mask=True, - ) sample = { - "input_ids": paddle.to_tensor(encoding["input_ids"], dtype="int64"), - "attention_mask": paddle.to_tensor( - encoding["attention_mask"], dtype="int64" - ), + self.smiles_key: seq, property_name: paddle.to_tensor([label], dtype="float32"), } if self.transforms is not None: diff --git a/ppmat/models/transpolymer/transpolymer.py b/ppmat/models/transpolymer/transpolymer.py index 4fc8baef..8786995a 100644 --- a/ppmat/models/transpolymer/transpolymer.py +++ b/ppmat/models/transpolymer/transpolymer.py @@ -26,9 +26,11 @@ def __init__( attention_probs_dropout_prob=0.1, drop_rate=0.1, resize_vocab_size=None, - tokenizer_name_or_path=None, + tokenizer_name_or_path="roberta-base", vocab_sup_file=None, blocksize=411, + smiles_key="smiles", + use_token_cache=True, property_name="Conductivity [S/cm]", data_mean=0.0, data_std=1.0, @@ -53,15 +55,20 @@ def __init__( encoder.config.hidden_dropout_prob = hidden_dropout_prob encoder.config.attention_probs_dropout_prob = attention_probs_dropout_prob self.encoder = deepcopy(encoder) - if resize_vocab_size is None and vocab_sup_file is not None: - tokenizer = PolymerSmilesTokenizer.from_pretrained( - tokenizer_name_or_path or "roberta-base", max_len=blocksize - ) + self.tokenizer = PolymerSmilesTokenizer.from_pretrained( + tokenizer_name_or_path, max_len=blocksize + ) + if vocab_sup_file is not None: vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten() - tokenizer.add_tokens(vocab_sup.tolist()) - resize_vocab_size = len(tokenizer) + self.tokenizer.add_tokens(vocab_sup.tolist()) + if resize_vocab_size is None: + resize_vocab_size = len(self.tokenizer) if resize_vocab_size is not None: self.encoder.resize_token_embeddings(resize_vocab_size) + self.blocksize = blocksize + self.smiles_key = smiles_key + self.use_token_cache = use_token_cache + self._token_cache = {} if isinstance(property_name, list): self.property_name = property_name[0] else: @@ -94,14 +101,54 @@ def _forward(self, input_ids, attention_mask): cls_embedding = outputs.last_hidden_state[:, 0, :] return self.regressor(cls_embedding) - def forward(self, data, attention_mask=None, return_loss=True, return_prediction=True): + def _encode_smiles(self, smiles): + if self.use_token_cache and smiles in self._token_cache: + return self._token_cache[smiles] + + encoding = self.tokenizer( + smiles, + add_special_tokens=True, + max_length=self.blocksize, + return_token_type_ids=False, + padding="max_length", + truncation=True, + return_attention_mask=True, + ) + if self.use_token_cache: + self._token_cache[smiles] = encoding + return encoding + + def _build_model_inputs(self, data): + if "input_ids" in data and "attention_mask" in data: + return data["input_ids"], data["attention_mask"] + + smiles_batch = data[self.smiles_key] + if isinstance(smiles_batch, str): + smiles_batch = [smiles_batch] + encodings = [self._encode_smiles(str(smiles)) for smiles in smiles_batch] + input_ids = paddle.to_tensor( + [encoding["input_ids"] for encoding in encodings], dtype="int64" + ) + attention_mask = paddle.to_tensor( + [encoding["attention_mask"] for encoding in encodings], dtype="int64" + ) + return input_ids, attention_mask + + def forward( + self, + data, + attention_mask=None, + return_loss=True, + return_prediction=True, + ): if not isinstance(data, dict): return self._forward(data, attention_mask) assert ( return_loss or return_prediction ), "At least one of return_loss or return_prediction must be True." - pred = self._forward(data["input_ids"], data["attention_mask"]) + input_ids, attention_mask = self._build_model_inputs(data) + pred = self._forward(input_ids, attention_mask) loss_dict = {} if return_loss: diff --git a/property_prediction/configs/transpolymer/README.md b/property_prediction/configs/transpolymer/README.md index 12d7371e..df81ea7e 100644 --- a/property_prediction/configs/transpolymer/README.md +++ b/property_prediction/configs/transpolymer/README.md @@ -1,59 +1,60 @@ -# TransPolymer for Polymer Property Prediction +# TransPolymer -## Overview +TransPolymer: a Transformer-based language model for polymer property predictions -TransPolymer is a RoBERTa-style language model for polymer sequence representation -learning. This configuration finetunes a converted Paddle checkpoint on the PE-I -polymer electrolyte conductivity benchmark. +## Abstract -Reference implementation and paper: +TransPolymer is a RoBERTa-style language model designed for polymer sequence +representation learning and downstream polymer property prediction. It tokenizes +polymer SMILES strings with a chemistry-aware tokenizer, encodes them with a +pretrained Transformer backbone, and finetunes a regression head for target +properties such as polymer electrolyte conductivity. -- Paper: TransPolymer: a Transformer-based language model for polymer property predictions -- Original implementation: https://github.com/ChangwenXu98/TransPolymer +![TransPolymer Pipeline](../../../pipeline.png) -## Dataset +Reference implementation: https://github.com/ChangwenXu98/TransPolymer -The PE-I benchmark predicts `Conductivity [S/cm]`. +## Datasets: -Expected files: +The PE-I benchmark is used for polymer electrolyte conductivity prediction. -```text -data/train_PE_I.csv -data/test_PE_I.csv -data/vocab/vocab_sup_PE_I.csv -``` - -The train/test split follows the original TransPolymer repository. Dataset files -and pretrained checkpoints should be uploaded to BCE by the reviewer and the -download links should be filled in here before merge. - -## Pretrained Checkpoint - -The original PyTorch checkpoint can be converted with: +| Dataset | Train | Test | Property | Artifact | +| :---: | :---: | :---: | :---: | :---: | +| PE-I | 34803 | 146 | Conductivity [S/cm] | [download](https://pan.baidu.com/s/1AcCpPFrUeRgBb-Gv_sCYYg) (code: 1227) | -```bash -python tools/convert_torch_ckpt_to_paddle.py \ - --torch_model ../TransPolymer-pytorch/ckpt/pretrain.pt/pytorch_model.bin \ - --torch_config ../TransPolymer-pytorch/ckpt/pretrain.pt/config.json \ - --output_dir ckpt/pretrain.pt -``` - -The resulting directory should contain: +Download the artifact package and extract it to the PaddleMaterials root +directory. After extraction, the directory structure should be: ```text -ckpt/pretrain.pt/config.json -ckpt/pretrain.pt/model_state.pdparams +PaddleMaterials/ +|-- data/ +| |-- train_PE_I.csv +| |-- test_PE_I.csv +| `-- vocab/ +| `-- vocab_sup_PE_I.csv +|-- ckpt/ +| `-- pretrain.pt/ +| |-- config.json +| `-- model_state.pdparams +`-- output/ + |-- PE_I_best_model.pdparams + |-- PE_I_train.pdparams + |-- transpolymer_pe_i_train.log + `-- config_finetune.yaml ``` -## Environment +The training config uses the relative paths `./data/train_PE_I.csv`, +`./data/test_PE_I.csv`, `./data/vocab/vocab_sup_PE_I.csv`, and +`./ckpt/pretrain.pt`. The `output/` directory contains the finetuned checkpoint +and training log for reference. -Verified environment: +## Model -```text -Python 3.10 -paddlepaddle-gpu 3.3.1, CUDA 11.8 wheel -RTX 4090, NVIDIA driver 550.142 -``` +TransPolymer uses a polymer-specific SMILES tokenizer and a RoBERTa-style +Transformer encoder. The converted Paddle pretraining checkpoint is loaded as the +backbone, and a lightweight regression head is finetuned for PE-I conductivity +prediction. Tokenization and model input construction are handled inside the +model, while the dataset only loads raw SMILES strings and property labels. ## Training @@ -68,8 +69,9 @@ python property_prediction/train.py \ Key options are defined in `transpolymer_pe_i_finetune.yaml`: -- `Dataset.*.dataset.__init_params__.blocksize`: maximum sequence length after tokenization. -- `Dataset.*.dataset.__init_params__.vocab_sup_file`: supplementary PE-I vocabulary file. +- `Dataset.*.dataset.__init_params__.path`: PE-I CSV file path. +- `Model.__init_params__.blocksize`: maximum sequence length after tokenization. +- `Model.__init_params__.vocab_sup_file`: supplementary PE-I vocabulary file. - `Model.__init_params__.pretrained_model_path`: converted Paddle checkpoint directory. - `Optimizer.lr.__init_params__.learning_rate`: finetuning learning rate. - `Trainer.max_epochs`: maximum finetuning epochs. @@ -98,7 +100,7 @@ Key options are defined in `transpolymer_pe_i_finetune.yaml`: 1 ~3 hours transpolymer_pe_i_finetune - checkpoint | log (code: 1227) + checkpoint | log (code: 1227) diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml new file mode 100644 index 00000000..b225edd7 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml @@ -0,0 +1,138 @@ +Global: + label_names: ["Conductivity [S/cm]"] + do_train: True + do_eval: False + do_test: False + +Trainer: + # Max epochs to train + max_epochs: 20 + # Random seed + seed: 1 + # Save path for checkpoints and logs + output_dir: ./output/transpolymer_pe_i + # Save frequency [epoch], set 0 to disable saving during training + save_freq: 1 + # Logging frequency [step] + log_freq: 20 + # Start evaluation epoch + start_eval_epoch: 1 + # Evaluation frequency [epoch] + eval_freq: 1 + # Resume from checkpoint path, useful for resuming training + resume_from_checkpoint: null + # Whether use automatic mixed precision + use_amp: False + # Automatic mixed precision level + amp_level: "O1" + # Whether run the model on no_grad mode during evaluation + eval_with_no_grad: True + # Gradient accumulation steps + gradient_accumulation_steps: 1 + # Best metric settings + best_metric_indicator: "eval_metric" + name_for_best_metric: "Conductivity [S/cm]" + greater_is_better: True + # Compute metric during training or evaluation + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + # Logging backends + use_visualdl: False + use_wandb: False + use_tensorboard: False + # Early stop tolerance + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: ./data/vocab/vocab_sup_PE_I.csv + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + Conductivity [S/cm]: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/train_PE_I.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/test_PE_I.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/test_PE_I.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 diff --git a/property_prediction/transpolymer_train.py b/property_prediction/transpolymer_train.py deleted file mode 100644 index 4aeba70f..00000000 --- a/property_prediction/transpolymer_train.py +++ /dev/null @@ -1,208 +0,0 @@ -import argparse -import os - -import numpy as np -import paddle -import paddle.nn as nn -import pandas as pd -import yaml -from paddle.io import DataLoader -from sklearn.preprocessing import StandardScaler - -from ppmat.datasets import collate_fn -from ppmat.datasets.transpolymer_dataset import TransPolymerCsvDataset -from ppmat.models.transpolymer.tokenizer import PolymerSmilesTokenizer -from ppmat.models.transpolymer.transpolymer import TransPolymerRegressor - - -class LinearWarmupDecay(paddle.optimizer.lr.LRScheduler): - def __init__(self, learning_rate, total_steps, warmup_steps=0, last_epoch=-1): - self.base_lr = learning_rate - self.total_steps = max(1, int(total_steps)) - self.warmup_steps = int(warmup_steps) - super().__init__(learning_rate=learning_rate, last_epoch=last_epoch) - - def get_lr(self): - step = max(0, self.last_epoch) - if self.warmup_steps > 0 and step < self.warmup_steps: - return self.base_lr * float(step) / float(max(1, self.warmup_steps)) - progress = float(step - self.warmup_steps) / float( - max(1, self.total_steps - self.warmup_steps) - ) - return self.base_lr * max(0.0, 1.0 - progress) - - -def inverse_transform(scaler, values): - return scaler.inverse_transform(np.asarray(values).reshape(-1, 1)).reshape(-1) - - -def r2_score(pred, true): - pred = np.asarray(pred).reshape(-1) - true = np.asarray(true).reshape(-1) - ss_res = np.sum((true - pred) ** 2) - ss_tot = np.sum((true - np.mean(true)) ** 2) - return float(1.0 - ss_res / ss_tot) if ss_tot != 0 else 0.0 - - -def build_dataset(split_config, tokenizer, label_mean, label_std): - dataset_config = split_config["dataset"] - dataset_name = dataset_config["__class_name__"] - dataset_params = dict(dataset_config["__init_params__"]) - dataset_params.update( - { - "tokenizer": tokenizer, - "label_mean": label_mean, - "label_std": label_std, - } - ) - if dataset_name != "TransPolymerCsvDataset": - raise ValueError(f"Unsupported TransPolymer dataset: {dataset_name}") - return TransPolymerCsvDataset(**dataset_params) - - -def build_dataloader(split_config, dataset): - loader_config = dict(split_config.get("loader", {})) - sampler_config = split_config["sampler"] - sampler_name = sampler_config["__class_name__"] - sampler_params = dict(sampler_config["__init_params__"]) - sampler_cls = getattr(paddle.io, sampler_name) - batch_sampler = sampler_cls(dataset, **sampler_params) - - collator_name = loader_config.pop("collate_fn", "DefaultCollator") - collator_params = loader_config.pop("collate_params", {}) - collator_cls = getattr(collate_fn, collator_name) - collator = collator_cls(**collator_params) - - return DataLoader( - dataset=dataset, - batch_sampler=batch_sampler, - return_list=True, - collate_fn=collator, - **loader_config, - ) - - -def evaluate(model, dataloader, scaler): - model.eval() - pred_all, true_all = [], [] - with paddle.no_grad(): - for batch in dataloader: - pred = model(batch["input_ids"], batch["attention_mask"]) - pred_all.append(pred.numpy().reshape(-1)) - true_all.append(batch["labels"].numpy().reshape(-1)) - pred = inverse_transform(scaler, np.concatenate(pred_all)) - true = inverse_transform(scaler, np.concatenate(true_all)) - rmse = float(np.sqrt(np.mean((pred - true) ** 2))) - return rmse, r2_score(pred, true) - - -def main(config): - trainer_config = config["Trainer"] - optimizer_config = config["Optimizer"]["__init_params__"] - model_config = config["Model"]["__init_params__"] - - paddle.seed(trainer_config.get("seed", 1)) - np.random.seed(trainer_config.get("seed", 1)) - paddle.set_device(trainer_config.get("device", "gpu")) - - tokenizer = PolymerSmilesTokenizer.from_pretrained( - config["Tokenizer"]["pretrained_name_or_path"], - max_len=config["Tokenizer"]["blocksize"], - ) - vocab_sup_file = config["Tokenizer"].get("vocab_sup_file") - if vocab_sup_file: - vocab_sup = pd.read_csv(vocab_sup_file, header=None).values.flatten().tolist() - tokenizer.add_tokens(vocab_sup) - - train_config = config["Dataset"]["train"] - test_config = config["Dataset"]["test"] - train_file = train_config["dataset"]["__init_params__"]["file_path"] - train_df = pd.read_csv(train_file) - scaler = StandardScaler() - scaler.fit(train_df.iloc[:, 1].values.reshape(-1, 1)) - label_mean = float(scaler.mean_[0]) - label_std = float(scaler.scale_[0]) - - train_dataset = build_dataset(train_config, tokenizer, label_mean, label_std) - test_dataset = build_dataset(test_config, tokenizer, label_mean, label_std) - train_loader = build_dataloader(train_config, train_dataset) - test_loader = build_dataloader(test_config, test_dataset) - - model_name = config["Model"]["__class_name__"] - if model_name != "TransPolymerRegressor": - raise ValueError(f"Unsupported TransPolymer model: {model_name}") - model_config = dict(model_config) - model_config["resize_vocab_size"] = len(tokenizer) - model = TransPolymerRegressor( - **model_config, - ) - - if config["Optimizer"]["__class_name__"] != "AdamW": - raise ValueError("TransPolymer finetuning currently supports AdamW only.") - total_steps = len(train_loader) * trainer_config["max_epochs"] - warmup_steps = int(total_steps * optimizer_config.get("warmup_ratio", 0.05)) - lr_scheduler = LinearWarmupDecay( - optimizer_config["lr_rate"], total_steps, warmup_steps - ) - regressor_lr_scale = optimizer_config["lr_rate_reg"] / optimizer_config["lr_rate"] - optimizer = paddle.optimizer.AdamW( - learning_rate=lr_scheduler, - parameters=[ - {"params": model.encoder.parameters(), "learning_rate": 1.0, "weight_decay": 0.0}, - { - "params": model.regressor.parameters(), - "learning_rate": regressor_lr_scale, - "weight_decay": optimizer_config.get("weight_decay", 0.01), - }, - ], - ) - loss_fn = nn.MSELoss() - - output_dir = trainer_config["output_dir"] - os.makedirs(output_dir, exist_ok=True) - best_r2 = -float("inf") - stale_epochs = 0 - for epoch in range(trainer_config["max_epochs"]): - model.train() - for batch in train_loader: - pred = model(batch["input_ids"], batch["attention_mask"]) - loss = loss_fn(pred.squeeze(), batch["labels"].squeeze()) - loss.backward() - optimizer.step() - optimizer.clear_grad() - lr_scheduler.step() - - train_rmse, train_r2 = evaluate(model, train_loader, scaler) - test_rmse, test_r2 = evaluate(model, test_loader, scaler) - print(f"epoch: {epoch + 1}/{trainer_config['max_epochs']}") - print(f"train RMSE = {train_rmse:.6f}") - print(f"train r^2 = {train_r2:.6f}") - print(f"test RMSE = {test_rmse:.6f}") - print(f"test r^2 = {test_r2:.6f}") - - state = {"model": model.state_dict(), "optimizer": optimizer.state_dict(), "epoch": epoch} - save_freq = trainer_config.get("save_freq", 1) - if save_freq and (epoch + 1) % save_freq == 0: - paddle.save(state, os.path.join(output_dir, "latest.pdparams")) - if test_r2 > best_r2: - best_r2 = test_r2 - stale_epochs = 0 - paddle.save(state, os.path.join(output_dir, "best.pdparams")) - else: - stale_epochs += 1 - if stale_epochs >= trainer_config.get("tolerance", 5): - print("Early stop") - break - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument( - "-c", - "--config", - default="./property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml", - ) - args = parser.parse_args() - with open(args.config, "r", encoding="utf-8") as f: - cfg = yaml.safe_load(f) - main(cfg) From 36c1b00eb1196b1e9ece9a744048939491b59ab3 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Sun, 12 Jul 2026 23:12:59 +0800 Subject: [PATCH 4/7] =?UTF-8?q?=E6=96=B0=E5=A2=9E=20Eea=E3=80=81Egb?= =?UTF-8?q?=E3=80=81Egc=E3=80=81Ei=E3=80=81EPS=E3=80=81Nc=E3=80=81Xc?= =?UTF-8?q?=E3=80=81OPV=E3=80=81PE-I=E3=80=81PE-II=20=E7=9A=84=20finetune?= =?UTF-8?q?=20=E9=85=8D=E7=BD=AE;=E6=9B=B4=E6=96=B0=20TransPolymer=20READM?= =?UTF-8?q?E=EF=BC=8C=E8=A1=A5=E5=85=85=E6=95=B0=E6=8D=AE=E9=9B=86?= =?UTF-8?q?=E8=AF=B4=E6=98=8E=E3=80=81=E4=B8=8B=E8=BD=BD=E9=93=BE=E6=8E=A5?= =?UTF-8?q?=E3=80=81=E8=A7=A3=E5=8E=8B=E8=B7=AF=E5=BE=84=E5=92=8C=E7=BB=93?= =?UTF-8?q?=E6=9E=9C=E8=A1=A8;=E8=AF=B4=E6=98=8E=E9=A2=84=E8=AE=AD?= =?UTF-8?q?=E7=BB=83=E6=9D=83=E9=87=8D/=E6=95=B0=E6=8D=AE=E9=9B=86?= =?UTF-8?q?=E4=B8=8E=E4=B8=8B=E6=B8=B8=E8=AE=AD=E7=BB=83=E6=9D=83=E9=87=8D?= =?UTF-8?q?/log=20=E7=9A=84=20artifact=20=E6=8B=86=E5=88=86=E6=96=B9?= =?UTF-8?q?=E5=BC=8F;=E6=96=B0=E5=A2=9E=E9=A2=84=E6=B5=8B=E7=A4=BA?= =?UTF-8?q?=E4=BE=8B=20CSV;?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pipeline.png | Bin 0 -> 761053 bytes ppmat/models/transpolymer/transpolymer.py | 9 + ppmat/utils/save_load.py | 2 + .../configs/transpolymer/README.md | 308 +++++++++++++++--- .../transpolymer_eea_finetune.yaml | 122 +++++++ .../transpolymer_egb_finetune.yaml | 122 +++++++ .../transpolymer_egc_finetune.yaml | 122 +++++++ .../transpolymer_ei_finetune.yaml | 122 +++++++ .../transpolymer_eps_finetune.yaml | 122 +++++++ .../transpolymer_nc_finetune.yaml | 122 +++++++ .../transpolymer_opv_finetune.yaml | 122 +++++++ .../transpolymer_pe_i_finetune.yaml | 3 + .../transpolymer_pe_ii_finetune.yaml | 122 +++++++ .../transpolymer_xc_finetune.yaml | 122 +++++++ .../example_data/transpolymer_predict.csv | 4 + property_prediction/predict.py | 53 ++- 16 files changed, 1437 insertions(+), 40 deletions(-) create mode 100644 pipeline.png create mode 100644 property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml create mode 100644 property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml create mode 100644 property_prediction/example_data/transpolymer_predict.csv diff --git a/pipeline.png b/pipeline.png new file mode 100644 index 0000000000000000000000000000000000000000..af835db9952dfe444ec14aa45a9f50803be672a7 GIT binary patch literal 761053 zcmeFYWl)?!w>3J11PD$-fS>^q+}%C6LvRW1?he5{1O|5}1RLBPf(Hh7cbCE8KAiWQ z@2fh0@2^{RrwS>U>FL?sy?d>-*A7>dmq0_tM+SjFXi}15${-L@F9`Iu7YPCQ%aGA8 zQ{cy2dr3_v5Qr%B&yfM`UH{^6IOLkKV0(AQ2j=NczVJ_p5}Foa=ey_qLrKY z^KFFoF%ARRklHk2sx+kpycUzF9Z^uyXi(U=8Iu}ec-*jxoJ*#h8bMZ_ejV$;u$TfD zVq@xmvg5Jsk<5FIZZ^t)z3ephnBjyif&@qQzaF`-dOD}ye)?a3B^$J%(Wdkd`_H5J zlL{3!H5?Y`p*d4m9?7 z*rH

+uFX(D45Z_20h~cNi$5{@=m=^V)(2R_{fGkPHrtXX%4Q;DSZs)_8`yqf8P*hueoWmC?ih1oT_=xsUwi-ZmKh zc>YiCe84?xUZ$ydl_i1Gi^|MmNN}ia>+rV4V9cW0ZLYD%;K?-VsxW<{)%DmYWr%QL zz;SeWUjvp%tXPPo}e!P~Hm#=eCK9m;{0xkPoFUigr5f_gA;xm3S8J=*IG)CjogZ5jAk1}I8G1w5# ziwdMH6v2Kn&@`Z$j1mu~INa8UvTY&4yq7C?YUY{`m!V94(0)&q(K9_>yUJmcs3T); zGdmYLFPYe~StI@dVrYVXJ}@SbZX{&=) zhlWeV!rzG$L76cwxG+-uxW`1vtk%v_FO0w*fB99$kEFU@#D^l%%QuL`&{0HO^_cJDoKtv~IX43PycRvh`+zWoLEu)BPgxpx}^i z-~TM6<^Zpg3uwE7dOFQ9=6c>E(qxpcE`BS$b*k!+p1;m8_Uf~jtcq{kT;t#}Fpk-p z@c=t}wHI0<(ZXN59X##AlFIegRF@A;d+`(VcsPBp5VFlG^yZcmJ&Kc-fH@TmN^yUN zAP`r0wwP`bUNG&j40ZcN;%c*JwFo}^%e{ix)Y<}j?EE<0H>JA&d<8vx&aizAdayp-~Ve zcCn=&F2^4Nr0R({*2#nZ`}1t2 zV~W7^aujE&zWkq@4GZ{B0#_|QBW3wuO85L`sF#4#o|731bZR=3$RUpgym$_UH0aNA zks_7GN%eak(ofDjppyIGdkR13zH>+9#z<#pzmB&tAC~H)r%W60f6#ZuozWYM ziO*D^$4HD{B_P%WzvuAxSWedr%jVOl_r4EtTY@ALd(Qvf2870vY#a+dOAbA^Ilq-# zTFOzRTJ6y52O=5#D`&L+x#z9-dwgUezZDgT26K$Gp=ih>8E8>XwkIH-5)Sk%;Q6{t zzG#JUHB8_(yhb6oV{a(QVRchVwNwKOzbx^}fozaDLmmJ$h7)@h^isq_1muh}NHP5fPuBw6%Qi&P@()4j5}LPW>aRSqaLDg;*G#F-Qav zK#MJ2xM{E>QC{G{uP+=N^n@7k>wD130R-~F()YYA{2Ny{?@)3lsa zv5>z0^((%Ln~$)Wj4ajG6eMKr%{Pz!@yE+x3ZdxcYV{1UoMeOVNMAdPd_Nk^m|!R0KGp@@Imyn!j>bp3 z;RVXH*19wKbBwjom74IdjmWji)b7&I;x*$r_UAR`BRQYktpb z50Pn>AoIxvW@#{;MK`vR!S@DJ&^CPa1dMK&aRx0zK9t;SY#rL@W{X^)4uX+XgQw@GPy}`> zh@N>-5N3lDu*^PBjRTEzWfD?Svz2a)93))+bHc)SJ&?aw4lf!*~A788_oiB_rJYvw@rj886{mOt)$!?!)W zOENN)6?ooQ6@G9y{RCRA4uEH7{^Z|@t400Hlk}7Ow0Ul48y4}s#At>{-Qx4 zoQhloiBC?xFU$gJ+*xM9FD?D6{D8LJrW+FezMy2yBZl;skz!PI6cVbKh{&r!Fl{Ia zE@PdGuC2}1S|wd-f@!|3s@2l)@$-*o8;B+_e2YMn6Gy$Rw|n+I zoNs*Zcf1&We|-WEiom9Rg@J)FS)xmDMZngvDjYb=oBTHhiImA}nl6Yzn}U7;4<}^0 zOnZUpo9fSx`mE)8%^`Ubv4hhVitPd|Ev@5a+MH~bvrPIroWL9?7&Xbz2r}bJ-o97&_sxlY!=7KS38AChpL@SHrDM85yt6MI<+pbHDoO{kZ zExZP=rcdUK#_wqB?fSQp@eXxcW@-A<8jU{XS^a3dVqIt#LDEFD4~*Ksn3hf}h&uTS ziI|zg?QCR>QE|$X-@fD;Ilk2?n%Wy9N~xS_YFuj*%!^^NAc~C;*%{9}yZ-%+N=1kV zitolJNejJ*mrtgThc&fRpK#Cezy$}N341+1`4IAZVk;>rna+@N1E;onXS8!=g+y<8 zIhn--Ifj^@rnRf93zNl-;SP3y$jHcOJzw)yt8Dr(7{UZ(@35#Su@eCwCi_*PKRUJ2 z$YF4xTCM1?Fr+_Pt@!ULWc_1fG04ctQ~bnSg^&W0lkpxPjs<1$BEdoOMWW8mY)!5Q z6uPWY@P?q(uHHzE276K-*Fz*fKR+=EiG?c{QKSI&W>-yYOrujO>bFn&zTv##;U38l z)sVi=(c|BMk-D}u@SJb8`21nY+BM!YLYZ0;qi-JOD~Zv}-oJZL zdP{%AOJQu$LfOu%h58FFmpxWCZwof9>aFSd+cJg7t$sPZ)cb=93OHuu;8z6^xJk?E z4BFGiyw8m7J=F;bdUF z)?8L{ZcIiv_~bn;&wOezUuDT7#kJ)be_;Ilbiu^wr`PtKYZ|pbp*mir>0ow)do&Ss zCRDT9GzVNni9@IH{T(L!?txsh>q+0=SV3_hxc0Z_Cfk%IX*tpTz{;QzaEN8K`C#$c z;BN;7Nmj&>_(h3F(%jgk{gf~P5k}5M9*X-}32@xc3 z*p|**?c(B4t%$Z*CL4c+sdy2TbbsB&dH**2@P7I59BVYQ-7{<-+-ROt8`K z1f0?bO8K5ZiP&=vhrNHmvNvb=f6XB{OTGTCsn?WX7uZQ6-!%YD${ybw;ijlR@NLYf zds#R_Oe1?f8f5+9EITlpRV~k@`!%a(TiIMC?b5SN%TuXd;2GU*V~U-;%kE$5_>H=v z=be-%0jvBGfC#Cp~bVj&yO&zXU{Q+v9TGz*HJSNoR?9Obt}Qc_ZL z3>QEGP-oEVU0sHQoE)#XFfn{B&@aLfSzQQ+nk*!HHL6?wV5J;OxgD$f64a4f$rSI8 z_hxejd7}eeTL*d(kz-w^Q-`3ta!7wvokZLAV@xp9pHd++`7tBJtLD)Q-PD4Y<_5SH zzf@IKad{o5JHNNwwNV@yp_enNKw!p!UDC<|IWe(915RIGKZu0u=iXg-csSneS^w$v zwS=s!Y>r?faN1u^PV4<8^SvT89R-&$_kO|7Xy0w6YCPy~2r3*i@Gs$r4E~PXA5uk7 zgQNM{-PMi2c#CcJvEhI~#PQC4#09s*%7ueIU>TTPM+xJ%Mh>RIPvzRJO;UDcL5LWb zY-Z>Le-4W~2U9OOCwLa48YA`KpUloHA1=Z#&U?ErHxsa5%cq$_T7*YZl`+3wNrPoQ z-xZj%;W7I($?ZeyZ2dVC!5z^p6hR#`GD(ApU>ZHb_L21P`qq|w6H2u*kpp$TxU!_v zRXAS^jCv6odh(!-T7vqs+a3>`GA~vbgSS_d*v@jE!(~Iu8VlJup8(z&`+Un4-0_!( zc#FmlBCG%6RFa$RGjkp@R=U8QH64ySDIJs~Ma-81f*#DEu>q;Df*IQnU7?I1Uz8fN&tf zOY*`X7BEhc>He7&B6RYOao&=Mh^W9-`vt&!YT(B=p!ig%2Bz6vF3-4pA|fH-!s8dy zZuH@0SZ*)?v%T^c&+7$S)t_%Rqg~bYmE9R!KOxPTg~p_dSJ#~wj)Y{W2@=2D^U2L_ zCPVm>f5I`mUFYPLNyUPe_5O^V!gucbt5CGDnIZ!jW5=iWU8;Of z--@vItwPxS*CpG`v!CtsqocN?bi^D-2=hr>q*^oq{J#~WXulKw_|R!V+r==%SQ70o z8GRwqcQ|japGUwa??k>sN$%wmPv-nk--csA9()>8I3Vbxuh(st`Z_X6R$JS;?ayy4 z=5~t6##W(m`q>hpPYqc=leachkpgOIyHC{)7`PgqD-WwTBowkY4(yDaX4R@!O2^F| zHng66mhVo_jAS(`JB)AL$R%ia+}krHDoXR_&dq3E*Xto@yj)u$H6~W;X8Ics zDU%@0GV#bt_VzrfGBvJ`9(~5or7CQA=c7n1Gj19P3mK-Z4VZ?CQQ$w?_2_MFZ8xid z81}G5?gXE4s|sl_O@qe;MWOFCQ7XG#j8r_unUE}y^nrA^7RlJgbUVyMm$7DY*wGn? zhlLlmxoK?md5YmJY30V4AQqQnz7%{0>2regmjvm8IX)fW_8`~~v+iNik^s^sCN8eo z!KNbVr=X7cS}QCz*FSTiJQfuM+abZDH6xnbiF{iHgeRa;C-762Xr{wklHQ<7j|5OoY)UQK3dz@=pJ>q=;`b0+WGpuU9I%% z)bDR_`3SECeD1KVX3BdT95&8J8WoTNG9+UDCbGM@^@oFL$Jyk}{7V7?ZfrLt#JYB|@IK3}b zlY+zcf68k5W!Xuy3B{BVtyJ=Px>sxWxYOkOnh)u`iNg(JHL|I0mebh$M|VS~D{ z?1fR?9~DrYmsewL`Tdi4`+fPP9-L6wRB8gEl}F+OAxfg{U+{&Nqa!kh?Xnrn?{F#W ziki!b)y9};VC>g;5fmgwC|?GpA;h*<^?j10w0q5jdUM-u`~0HYK)vksP6g zIvZw_LF^!#S^sDQgPXmgtkb)LiZnL13?3I`l_Giinhzzw2^&t~UodWLZst|1(2EYs zlfZI2z+up7@NXm~Emq148ED$*i|y}zeySF+3`dg8NL{->X_r7GAwlT*In~qC^Zk5t zfMQ4{i6)qlQnsV7l4&s}viqok%NiA>JLx?|$JEr6@go+w_$MBodE>^ij|!}>b_t3m zIMm?o#5ZC+uYOE)3O_5;qFq0bc%=gh5`{v7p2qqCoEm?u5M-N zG@3}4TnGsXvz4g}l3JUbFA4`BV~A)h)XyJ=5;`ULy`;DF3siHZ8y&fB3AmU=qn0tu3>Kk#AV8ookAf+*?fVP$_mhT zxUCZB#tC(Gb;s*$w4?CZk+WimBJ1btCAJ2^a`S&}SK6Y1#5#BMH)gsHND5-Q4gUWA zpqrbU)kW?{Ds1_fm>bu9)td85v468w8qK!4Z5FuAFTsSbX(Ix*x;h))RJ-8sL`Dp- za(GCs<=O}i{i>zuT}zAOwH_IgxF>yVbb&8cqNEW!gSNh1c~M}zQqu7um~yb%*Uk- z0up!{@H=$$y5@RF?Fd2r+UU_FRwX{CO^|MA{i^u-8$y9*Tq2&@B!Oo8V=`AePMdh? zSO6pBHkPQUe4yVa^SMqP8B*Hsz11llH|$I&ksFllYQ1+q-weNex-Y1<-^fCtsGvPF z8~^k5ecCd4nvwSi=n{@;+k3VY_k}c{xE+K5nc&7{Uo~Ey^)?*y6>HnuIB=O#R&+;j zLpv6cpPF9zsD4i-Q3(+!mV`gRBvMWCgn-lLvkj;9CgOyzyu5GBSzh~ks|INv#N`!o zB(S=KeDlUjRWVsQ0V*2%*@lPtFPa`e;Q5a zr}ZgRD?M9sTQRsj-vY_*)YXDn#nIF%CQAa58C#8Amy{mw^K>t^?P-)>SFqb!U#u|k z8*@K+Yvp~D@xkaiEZh;JKvO%pJR3Q`-cg%BFHKqT{Q-O#9vB<%A5N7*uD4{8#FzG` zM#_2rs57!TxJiT?_Wqk(TH3#7=~`TFGIJyL`03JTqaC zybha>UT`1rs$6>AlfSbbO#spBvxxTGA)+m!@DV{;Y>W3N@zsg_=%jAkCY*Z2pwomN z{0j3Gm9kjy8>gqxkSi!-IpCr(Fh zTW$o?75(FR5)N!+uR<|M#I3FWTxvEtZYkE=>bloi1|y&miTT@8sqFYfvID%}+b806;gLPJ?2dEHIS{ z70TgER*C68Bg_|;IhKV{rbbJ@Q0v86cQP9=>gzk=T9~jZ^b{4?+jQ?H(h?Q7!%fPZmPbv@oK15SE>TUOh9$PP| z;}4BA>Fb3@$8u__wK-cyL1{a*33bMcK9&nPJh;lLOO=$=)2@9D5gs(Hidq zXP#Z>^U$M^do3Z-W)5B|qSc?Hl6EjzqyXBa^8HXsEdSqO$Sb3F$j4WDA;6`)MFVD{ zcIS&B;*NRNBP?3*eSU9u%{*e|blkJl8E)h!a}w&qCw6B$Hlr`9|E#CMqAz%Np}!{a z)BTwwfi?@@+VxtVkGQpAv^b(zu`EQJ;nDHnhLL)}I7PmQwYeOKIgCy#VMYp)x-&3V zWh7(yv%qero(UGIG{MXQyz!I36Q^bCpLUAfnmcbSk?%XxlW|k1CKJ8AZvYkKIgJfx zreeA0nCMQ)c^FJUGs~qM1xCf^!pzCZX?RBz4fpf}8EbMqikJn&tHs9mkvI%u!N_9B zZ$kdZ3-IB5=?xQO@`20NOiBElKVD#V_NSJ;Bl=c#Dr`y5JM3m_rjy@gOU-U$`JMS9 z!N^EbMOCl=A@E`0)C3oIaj`vTl*#|NNm{vXY^~LdgD}nkSE=bUqC@%@U zCXe@kpqy~rbi~K^Zy&6Fm@98;jxFtZN4KzIP~JJ%u3#CMlhZkfV=+YI14_rStQGg% zlbB=CH8uBtCn9uj__@61pm+)&K(Fz{P@W9=yO^41&Lh{5afXTeEQ@+*!9{zm7W6p- zH)_bQD-f}P7}pH;%)`s`!l+WG%BIyc$v8%J9Ua);ETxy)| z?#FC6>rDtQUT7&=debw>%G$KiwA37zkZyg=pI)OyB>q}1=}k{^np)qYD+9x*`N14& zg(sUxb)U<4v9Qe?&xfHT;i}vew;;vRTD-^hIoEo9n}LxLG@pA|@1GRbHKWPv8$o}##7I0s1>ZjiiMD^lBQ{tNi=lxIZV}8w%Ntf5vn>({^t73J25^Ab+Dge{87H~iPnqB`mwQ{`J%2-P4 z!()lrv2u<20cH( z7dEcT5FtJoCVcN~LOJ!jB}6?7ZXdW|hq1%c*E?)Bb;jnDv(?XB^KL}w{VZjx8igP5 zTc>epeV0P|6@J-st=H7FnD^FkIh>1Z>syBc%ag8~e)ii8h3(4y4H^Nb&=LaU&@{Dr z8(jnreQMc>;N6Uarefrb_W8JyPjkzc$Bgs`LJ9Q3IxBoc32dbj#YW37#Z#7h;H878 z+T`Ywl^Q?6n%hmn`1fY=8S&BYpal|?b33+ErR$SZNY;yIv|V)-;$u%QWwY$5eftYf zOT<_*nh%S=)xpc9s?s;k@c5fM%=F>`JdzJ|U6Uex6IYLgM!j05HC} ztGBZ_QSdyVWSiGa9BiLJ?3R;4&rgrcoS$C<@H5xz`uKKzo1K#gP>ZimR+8vZP*H>8 z<5faD#)}O^FHcrT-nZSnG9cjibUaNjo5oT0Z;K?3-`>HYbMYr;&~S>;LB1lKTaWp& z2k6FqQ!;^3UjTaH2i)e&?*D+TbPqe>tgbtnXlpv_GW?{TuK^yRTDF5&1j*cG-Sq?ck5T$E`ly%u){}hL$)PI?d2Thj#%ehx z_;kNgagPqh?>+ZK{_SZh9(-%q`KlQ;x6%ck@8@F&npKH9z=19inq!GX@7KB=9(yJ8 zLFZq|A(4^qVRpJfmfvVi8#1K}dg|YYZmed>I9NYB5~An_c zJdAR-Zl5SdpRcvaydY5qnb&Foa+pji&t7Y1Ah4A7`;*kDBm#@JB=d99H*mMuXfZJ{ zc+7@kg$r*G5jOz1R^WA1iAL}*_bbY>ol1y&I#&RIz6KJ%6)VC81O%kmS|RmGAHa?l zH0phQ$_ts>Y4qFpnwqsN0xQO%ng+%4#~HH8v`u>(m1J^K#ge2$k+zful!@Di3?s%P@A@u(a3L zyxbo;Ypc@=RcGSJo&KqCvtDUq6rBy2lVO@>{J-EI@c>o(UNfuGbqjGx?3%3FkFQ(O>1Cw^-dQRwKfW`e)iH0Jym^VNbO z2e=$elbRoDfP`u-rz(BB5mf!gh4?9`kN})lXL5cxTBcoZd;(zV7;!WLQ>_vh>|CU0 zJTIBx-4EZ#yBw`r%iC?>aDLn&$<8ta3cUb)-~1bAzSQKBGt5h-txN@|Md01>JVe){ z#S}Zwe5I#4rycotlSDQM0V)yCq_HM28n?8Ht<}z&0mOQG5WM>!wLi%jLSW$4@)2S7 zJ2hi1h-5m1JC)VcWxYu)ka3*-kJVJ%nUTt{|n_ynM!rzhUNkRZvES}pn-o{SORv8Hb&{xjM| z2}A@xwZ8{RCJ18c!*Eq( zQAiJe3oHYO0YKa$p3ii*+yZx-&2%e>sRZG$5m)-v!^5y;yP}vb`=@pG^vEX5W7=~% zo4U_I9Su@~--y}#Q7OP5Afzi1D;Y0U6rpkb(OadvO8<9MJTo07JMtem+ zKkeRw;WVgD6>8Y4e6q!m*`D6iDjpcQqq5*?T zL0VIDnhq4s=lgJH{2h#u^z|e@8k-t^@GSoD5sFI$K0uR&t9i=uvkPAeHvO@z=$1{s zTRfQ*1MmvbGjiIt#j8La{ln2xGcGzhx*`?!OGQ&Uk%~0BBWK*a(sG|H8a3q?=Nf!*lWJ*-$d2Tt3 z2qiVkb+{u5=HMRL=LgIue_Xgu|2sa|vw)d8x}|!wGA_4-m)6@#MXS}d7rx1I+Z%0I^KS}2J{}CP(${RPFPtPhyvjF^vU}+0S)Z~R} zLekgeOJUtsdVwZrwIN5}Xuc2xlYJ|>dC~LR)Kre_T$C3wc_Obpz2!B zV|L6s$B;SV_BjCFO&!#~u+9RLn3%7tW^B4Ye!TuS8P(HZfI)C1z zvRTaV1_lNo|GsE^QYI!$6$%A_3w0bV)HC0-UZ3tdJf+&6G99^>DiiS+VlVrK#{^XIXWp56j_fhmu$;KEO0<36B&=N!D2cm&}sEW z(JFJ9umlcF1vf8`;b=0mX)I^AK(vBv&~wn+S>KyV=PW?Lb;klDUljU9urPvuB_7TC zh&AEXCN##G4}s~?0G2{*QAh<4%h|Sr%CFarjbIM#Cf^H=#0q&dAyq2>t;ixtB5qeZ zJ#$zxO&H*B@!&^T@nIL$QtPP-8^D%K{C(v}-(b4tooRm}@axyF{Ob_;Vj3{=AlppJ zu8jJb-U`OqWyz6v#^7JKfB^fytG?VE0>nVAqG!F5sYE5JY=OmTkn58)Qoz7Qk>Od3 zB6Wv!={TA7$cedTJw1bN16_s@unR4xN=R)=r_C{)$kpz2ilA$bsx@cr`65BW%xc*9 z_z?>IF<;FD1)VRif<yvOjFLwjp>U#$Ooa%gS2j%VCw~|s)ar8#yD$_dbmia^b z@bYAk=r*5woO!Hr$3cK{IMmyk+`G_`mHsmj}UY>FMSGYt0FZj%$kx%qB3AxFjzMnbiLDRH|gg^energU!u5=Gjkp zqTWv5dJghNrBF6b+?*c3Ya-jDy`zH9V&8c%G*QUw)PL4~M6BfH;n8AaQPS!&xdgN| z*E!nx`4GVFRcEsxQlcsi7XXlHi8KzIQ{}x0ypMQcfJnDldXZI8L@BU4P2U}Ap40vu zLvhj)$RQeP=%A7ORRwdiu=(uzg*qnCYU7uek7~5JN2n^a`MRQ5s#TDcdEM!-)mihJ zgPph7%_JlMf8b!Hyf1A3n>U{m10L@qutq|SZ9i+lZ(v!}A9ER>h1E31acCn8Ue^E7k;msmg}-z8HCS*> zKyOdy9c*np`9l&Zph!yLOuqiwIIpMX`bn+4z{HNJRO;AtbaXKx<~+H! z86CCvI}SI)da9+FT8vHqCGf5!b=J?t0MVjABSdOC#Ew=pj=t|5JA=6H53RDkd9Z;-oqO=y zvuH4Upy3}nDk>yEJAu4^?s|j5!cNUU6ZOOJH$K{qq?p)i z5WuuJH4`(e#2aPB=_(Q1GBY*!U1%bj8jNo+Z~v93;BmOnXrU8^wKM7&2Yw?iq_2-c z@m#Sc-|g%!I{myy4IFVT4l92L;gjyE-j9HwW7jsWjC1)bjf`x}aACAP|C+za(_jEY zU%K-Huw_@|31hP3o+fxamR46Lmxva&M?_PU3s_oC!eXL(%~t$kUrqx+dpJJsFHEDI zHWD?&si!tIZ&dtKtg)TPmM+-)D{k?H&mEN2Atb8@`Mh#X$ciblYC25B=3N_mNVs#j z8RlTL9A9>SIOjB1BPHW|ql}E6uNsZdA=dFP2jacAdoVPP5)ITSzC-@FpRIF9hCfcU z;khs#(dIeDzDQbfo(CwTkQ!g#>xW*|P=rRTj?Cob7j!?U)P(%wd~3+4`|e7k*75`2 zge>Pr7Blo1LjF{{B3ASaE-aw3kmGFs_q2@?K$9e6>EXZ$AY&lyvHaOjv*DQ_?V0B9%YS0tW>s<)V!lt-f z*k2``q`yc6Yy0~^;Ui%18;!w8;uh7nru>?xX*u3Q7|+EwAy6Wa!Xg?QG@O^r7b{3& z(z%W5+bNqxaOC>0dZ-8ms(~^{L8cKydUF^_I|kU-jy1M$cXdXOheV&t4J$+MBmkg9 zMvIj1ZNT1;_drWa^X2StbfW_~$YjLt`O)m)Gq$;9?ffQKDKASrk6BYcZ`^oR()`$O zQ>~Yxy(kOGojLY*ien;J-GDCsi%cS$CX9+;26f}0CNIyZ4w{hkQZsE&q_5s3b#%6- zdvUmC)ms|?`#zt(9-BH>q{umB(AQ5$-J*CM;F1BQk!|XQYDIzKd457k3xJQ$$EtzO z=UJvG&Q(lEzm(&q{^GPlKPTtZ3W`8ez|xHX2Ark4IM_jFC^)nE4+|>rE&QcQjVw>d zXuWIy6utkI5$Hq}LRdL~m9w627hK`|`H?uH=73EWrr6Ud9FT=8$MNxt>D3+4geS4w zL0+l;^6MU@HAP5}#mVxHIC(#|tJBVCFJL}2sQ`FgVY9Ehd&9up+S=M)x!=XMT>O=& zh{*YB(rl=NxQ+3b;e^iND=*qVEv=gYmA1CFRNo-RZKz?)$^4#dbt7q^({gDd z1*)d_gwO_kL7fKQCCj~`urtw(S?x0%#N#59imMD)V&breE!-%t=SSH-zlK1BJt`c3!Q zG<1RBw`}2dOjLx(PyqZ{1=?8W=xB^ar^_48tIdsVc`owKhP_}CnSp8Evol9 z+n=Z^yKDsNWpx>e(UNJ(UrQK5p4iop6g?1_>3GR)qorDJeFfpMscG+~F#DSXj zXqN>y{uhe+F+cEcRguUUzWnR@jpOyX>K1}V&LRZ2y&p~o(*}$8Cwafe6O#Mh5%YCu zcZY7oq{#og1q15#zdU_T>S7D!Q+G{8Xr^Fy!DEp!b=CJd!Wxgf4}?+Tvr1Ih#VQqb z-=OlaU}0wCr2Uo$$N-BI{~WbXpGPt{$KmLza6A*Jfp?FOE5Rbd!=>CFfudUcRr~FB zn)8gH`)T&T9b+1|JhIhYIOr1t1G??hZ+K}-Ns2FjqzjDVv+21)YO4aDXqZ0gKQ4=fp^=2Cn=te4q3YSfP0xC{B zjC$Sc|CnxIc+>LKdlL@wyWeCCj+&cMCcOq}=cjUZ1Cw-*=dMYF++ z$#=VLDJ+)W7(#Dif!h^0RbMv;!Kde^f9;omgLl&<-uW*jybV9HNTHe-+sKyJ>(+;z zM!jzmi`?Go-Zcs+s97|=V!Ho#lU5*8h9eeNCt&RUk!KWuJT1#j+}rXbkwFK|4v&X8 z&KFjcHh`h2%IG>yM?pbt-?wi4U@yG#Bdfg$lwz_}NmR?0!R9Rn@%O=r0uK6EAoqi# zb?#p1FFp}!nOfR02as-`=t;t1myPBLt`{LHnhIQr7H?iOu%%n_IaeoNjo_gB=WUDm z^LT_S%Q>F6jSQ{+c$8+8L3F7x<@}G1&gshyp73Mmr{1>5_eXN`2jYODWziTYV({)J zHFx}bPmP7E)5uT>13%BeG65p{#}h%|)ejJdkFNp+#8MyyIm#ughwD*i@%@IK5X=Os z0VM$xT7=%8x-8e9Mkd55NMEzzN0036)YJl!(BN|Elx5__=?Wr7awyO?5q8E-UW#@E z_;x5dOSg&f<_Nk)jRS#Jk>sP2B;eiqkQYX|hY(5+u|!@rTcl{WVw)ObgPM7uy4F>H z@tE1VeUC-6IbSUpA53f12{`d1Oom>8Ub;Xm)yph7!pQzgx1Jo8!3nfC*ZT1OfQOeG zwE+CiK&uEOS{V#%`p;j!r14=pIJkBN90?iia85t^vsF_Oqs+$i2Wo4Ki;m5#fSoDc%VGlBJ*g7ui(>X_p`U9Q-wxO( ze|48TEK`tw&Ff0i3DXUQ>H^oC;dTpH^GR^*SC)~TyK!dW$Z|eVWX?1#`2>I?%?Z|O zIOc=;@&xglzsP_*nOa*q^c3pgOR?A-3)oPBT0dKP(un@g=LAn?7c0QEd70P6ZejQi z@1j3P)cxkB>gs)xXx}}tP~CCTi?VR<$R@8F-2vR$Vk`WCu>x;9HY8%tcH1Ytsb#l9 zfJRlX636*`TEN`d38Ue~J|8-XOgH*iS|FQAnnq4fc9&s#$1^5O(hgD~-! zzJq`sfU_xe{k6*!){pX$K(p&@))~8cncBwiTs4keyW5IDyvfw!`HFodfKtPj>d=fH z9_4H)+=%%tFNkqo!eX8BhePA>*Vgj|aMEDLd7U)07S#xVx}g^QKL zzI9^PvrU}`tw1u4@K=vAat?Q$dCZ}W5{|CUJv)JjMiZ3=6j>QDF?HfBPD>X%mY05h zEr&Uh1M9t*AD<#eLPv_adK-?NulB!1hUm0AZXp9k^f0x|%p0JY#Qt!$N@Pw?Sks7M zcJUXCD9~&yGbL(2ndD$U!HWW&D5BbGrYkRVFEAV4?>VFBSsMv1T1`+(TRH-tnz|6` zMlch1&^W`yix$oujh~;HHHD8>zS2T}&vy*tr`Es$?KjU1A1e&J2a1uE26xV{V+k$J zHHVj)P3!*p0I*z6zl63`5D?eepRv$^Qv8Ct2$Fd%PtRf#?GQAoFmUkqgWk21t7BKO z+j3{4%fY|OL~rMx*wF}_CyP}|gO>n@i_%mPtl}au+E{l0>Q$FOtC~=Oa;_v6curmG zz;^*$;5GQCaAX>Y{UY@BmTud-!2Z~*)IUXPR+v8Q)2UKJPSj&lcxRn>nnJQ?>%EmO zei|`_vcDHTv70NEjemj_wlFwd%eT-qAhM*S@=ZpE^MNzV=v%_Gtvjf`3Hcga| zCWej+`H65em{9je(l{M}YKl&?E1KZr1M9=X1JkgqC=XT~KaFy}WSu?@nC8MyQRrK# z-jeYgV4R>w7N4@LO=k6~8#oUU&l{W7nh)*oi}tX1k%Ojp$AN~ba%&G~>pvr24pV>h zKC-rtSO!jg-1AYx|1)j&-}^dRJd%0CR0gePM6V<=)M4!fCtdnB^INKxqGm8Wt|Tor zwgFPq;z9njQ67U{ccb$Uc0=1G@KGNA6iw$;FSq)I5)NO^lyt=<>}V$tAt!#^*>T#k z@>@xQ`2^S1EU(kDE7~axPMeO0Ac_&6FLoWrLCn__QTk(ZV2iO}~Q zIMu)gyvBucApeDWyN#kOKk?X1{xj&9;Eso9nOu%yatowMPVXW1VQ|rWP$r3?wzwQv z58#!;5lZ}t(2uyXAznn$YJFF(8vo-3K&cgncR|Qll>WdN1GqpbhAwzcMM|gEO6_nr zqGLpra_TUon>{vcy~&&{h;Np{8p%t^-LAYuf0Lt-W>4oMOyUV1UV1LUGlCi3b}+FY z>QC$d*8g^!IYu8lC3W1ExzS5f!^{WU4EcFVYD;$I$wCYZC_Z3b(@9S^9%3*f#bclZ zwz#MB*)RJ0Pp4M0Y1OZu`8~Sgt{8c8eL{y!gK7X-w60+){M-~jq%O2fxFlJoDOhzGSJhiwNRm_FTT0< zWHfV6$2awUQPuP;#v(Iq^uLzi?l=J!YoF#Wlbs79ZC9CQqT%A=HkT+!&otrAMD{CWt!wG%G#&5) zJ6WSbk7DR(jWC|b;+h|HxLid7bW=<`sTAd}8mjKItyFl`3#ULB0dvx)^@@#M=p0Gw z(UxsAi43@7seoI*A$nk+7{bWwJ7-gJ#Kx3EzH*Ywf|w^HiKC|TtXFq z%9AOhqC%EHFHrk89xB&w*Q45z0xDQP0FP-d^zzjbU@T(LZ3=2~Iq2%_?EH)Ylr|_7 zGOf>b%NA+|4mP*FLPGZwm1)2f2ejZp=NZ5_LUCZW^=$HAr17O`z@E15`&C_KBH%s# z4gk)u*x01R3;`ef_D2{2pjaBfnyhv`m;soo)8MWI)4bZB8m}^vD9vAbrd}-?O?b_?&GAG)$`UJ}!fNc$_<=^7g(SKVD#1s+OnE42=Bq_w~K;Ie@cX#>rgs z++){}!^izzhYn6p|KUm8is>Y?f@Eu6`CG9~w!COWYyJ51>ffqKtk~ab)EH)z5}>;W zk0-u2W@Fj{S|JV<2~n53`@t_Br);~ZEDkenj`GyE1uV5s1yg%W&;2fdT~QnDufu%;_B)- zo8RAl2mR`eSZik!l~JcLx~;Nde5pM|=+{f10LiK@ctmvIU2nFUl`N+s2%rWnJ1ZYf zZr#}LGw`Ev_#XwkNqEs;fpm1!9X1|t04;Ie7GG>Y01b}|b4dNqPhAYaNE`+%QueS6 zBOKFF6&?{$^cxi1!M1(?kSsO3RLkd<6$7QvVjI;lNBJGXHz1%KDsm4yl1nToa^9Pu zIKbU>&DtJG>+bFS%7H(=ukY9E9{@kT304Pn9CFJ5!kEAKhDzUNi zHU3|=o?Oq8e22DfsEms-C8fm8ZGN4MC17+te_lMSB>*k{R_!<_OOv|(3>8(&-q0=^ zhj_pTk=$vkC7oKV3|h`SkoeuB@x~H%cK63RoUHg=xm>RJNr0V4b%EmGsl^m>8bJ?>O_=ggNy~fm`5Xn4l}+usya4a1E{0hsc}| zMHa8lkUm<4S67pJwlC>5F>*vn9<0oq*OAFUO&MGCu7&1U3jQDJzA`GRE@~M2Q9#9_ zK?Ouwx+Ihsx`s~a28jWwK}G41p}V`J2FXz==^8*7LKwP+8U_Xi-itmy>s{~v@5jel z3UlY)v(MSR_u2d0Plp3iL|>6f5?R_2tlOB9j3xW=mVbZ}-0qH|UL$TnGcx!Sh@D`b zLdfEJLgt$gGqsfZ^c7M2)hKY8c97{M@s4x}Y>sN<7a{cagx^!JwtuN+vBvcZZ+Khz zCjMdIN4JD*qvP?RTrYE)V>XQg|JgUyW%ur7Wk3tAKIlDC$NRpXHBD^Z7Hu-DyE%`U zX%(HGjgd`qad-XTdF}W{OK80hc>uGjEZ`eyd|q2uPBA-!F|8Vp_!;~3StOYz=bhwh z#3{TfgD7rH<v$gsd&d*sn9d7Jq>*UZoR1yhXH) zz9sRk8A^*RHM)!7G~putg@28_T{NXO_cfEE%D@l5|E*iAJuXZv>s?P@9R-uqxbzTn1#hpc@NfvnwYxSJ9a1C+ze6E~fm9#;i6v;bMtRTz`a zQ1-`CL7+NQYP-hvXT5#Gh7Zs^9rEtdRbBqgBX#!&L7BHmNo8zo3ftG~?8p0at#zEb zF{{kksVsWgm!J6VT#@zL4cSQE*(p^2;;~5ulx|rxzy5d|I4nf=_3LNxg#DN<98et6 z3dDU*<;|u(xa_mTohnP~?3|s(Br+$GVy#k}s#3Fws`_+zsab&5ST0Avd7RS0aXdI( zK|Aln{43_H4@TPRSnlaRd8c&D=Jnzv2T&SDQ|B}*wV9j`)}ngD=lC{xv_vlAhyRAq zhb#ufx2aY0xwUy9ZVqA@i3fItYlj6ml1D*0h^dTzmV+6wLkjH08Q)(-Dg?ZJLj(&@ zX)BhjjRodo2Q)?1_i9q6;{@pFHj-JUV(MphsxRi+~fF66%QsfL}Ko9uiW zWMw$75L^(6v;sCY>-UzqU4gz6pKPG~In(!O*8^*U45?LrUwl%}|1^7jI1}3jPJidR)#JS?Z>>j6US`NZ* z)Zh*?leLMbJDpbJ!jE>f1k`j+MMVtMAUEZV158`wCj45OX39s75hwCA7zXX8-n~0jomst|pJXEy; zh}$n;wGWS0v4q!9ad><3h-FY89@cgaj}o)vp@3?N5~qCMEQ(tPH7PGQrlqDmGYj|4 z57=rJK_4d(yRbdE`SKsb=l<8B&ii~5+CVPQVlc>NxT(@;Gz_r8;chw=^WSnn!&OoR zs_2D0MXLhw%WsLtD^l32mmmy+Kq|-=JN+hA$m7l#;~FSYpU;!!L7$Ob)fQVHHM&e? zX4uE=0{_y19}vPk`xW51yF&h{d46BsV*GtTfHJGR+j3v)+Y6VrQO=0D;XK7J?yGm; zj7E<@fy$wnY0wM9$EMK2N$H#LFZrT&pC0$~pbAl3eKi6^E~SU*CIY zr-w3osB5aJT)6cuLwBGf?bRhsX_;TQ)yVEk=dxrz{&BH!!omvbpZj^jVj|rlW_&L) zsLKN8>$wz@gz-gW96>K2!!KOAS_rt}>OC2W&t3oxr9(jPd--y{>Np}_X()mLw6@RN zADndC?Lg1ENEI_951A1Hg8#zZUi?1TZx0>C4LbSkV1VH=q^R5o7I2J>i;lkMuT!XQ zW5SAhr8Q;GyA*4$dm0+gVf@lFB=C?Bf0dLruapoq@`!d|RJ2+mtk4>N0wvUlSIyNQ zZg*zM{yhJ(&+~c9z~&u0X^%!+WcI-c8>Y~-Bqp}@%%$7b^*x=}{L!}k#6(iE(CL9) zhKM|@q1Kt6e;*&pZ(p3S$&OV&t>=(OYMnu*TMO_fc1p8;a z+^EE@Ul?@h>P=*TdB@5Sh<-FL!MK=r;5qNw)%2^_b^Es3@s8>rh3!CdbzZ)5iY)u_ z)-eXsFTA``zdC{)QI+^uKzF#9V6xxeh$#l#TXjKkOG``J-bC&lc9Hp&a0&(@g86(~ z;>c4ycp2s1k_=P7N4V6ygSK{{cp|?ZGj8h+jXbwEZ9)%HEGN)@-%&^V3)IsWXU>N$ z8saXHC-FOQi`gnyt5ViVo5=wotCnY>2KE9@;l(j1cv;@8UqOX`aO!*h8EhT8kv_+B zCNcBUfing7yrq1;ZJ|mUyBPj!MBJoFC8N(Y7aN0Avnc4v0{Ic4!F*o&$eb|4t~g@d z7pgnht(N!C%nosLp)Os-}z310{9%z2!z=Iy+-jGrBj8`XzfxUFVZ zyKhZ2FM2d)M>^))u7y5YUU44Jl?64`4VK`n`dNJ1Sy!ewRHL3BNxpGUf*EoqbSV2i zWi4XjWdm0S?X5hN)3^eW3V?8+ci1vY}6J|!e$B9nD7=igo<`RBgxz^nz zggUXBm&aW?ML_ItLN&fF1ldSras+kjfD}3GOwcXg_|0-! zFeEB$=TtiTTd_k{qqI4b0)^~Dvc>iyT#4!HbTh>4aB^+58y`-*GUmYf9^q73!ddG@ zmd>#&z!m#DjbQh$r=$U-X53V!N?_V3aV2_$XkG`^Vl@wsyH$A6v*YPEIq^`OQCqAU zv}af}!!Mu3xrMTFOFj)PdQtH)^)LH?cLiw=__c=nryEBx9n{#J;pV+;RVbR2b_{_K z*K2uhHciddBIG2mvbebOrS)uzJAYwncU{0M%$ICE4$C#R+&1q~|9IwFtPaqx!|yVj zTi5_TEjQ9{dQ%C6Y^BUklmhB+GlaCp8)ilslv9ikFsz2T;Jg7V|YII*t z^ISW;tD*+D^>IK;fCyx()U-8FCgQd^MPNB%OQhCe0`^5weR+TFey#H|r*SE#bj zHqtMf@L))afK#cP8KdlY&4|icd4^7NfjruIJfss6UhJIq#tv^YKg(cL{b zof9bIH1Z1{Z@E4_LHyX5S~If9zPgHs@ADZ8aDYW%Ry{pO`B>FxO(?VgwK*J~KtC$# ztQ0H+ua($+rF=Fnmb^P4$}r!7_E^sx3vrex3ZI1%jAkBJJf~BwKdV2CeTPpSH*ZsA7%~b)h+CQNl+5h#WakO$|NFC$nbDAQb za+{%Dyucs7m>{w^Xu?r|Y*@57SsHIB5wH+kyh zAH(NpJ*To(2PC+9STV07@~@Io<(>;#p6~sMz>uF%YC$LD*B1dbK%uLvvh}Ove3i8k z5YVm~fqKe)KSJsu9c(eR(giIG;o#<4p{_ubqa#H*w=9cEm%}X*Hc+qolKH8gTLcR@ z{8Y=@b6W0C!}i9qxFlVCI3~b;nsxwVQn!5LxMgVM-bt(OIXBwVH3Ucple|&n4MwID zXG@F6a%sIvWnSxL8kl*WP$rVtsRFV^Ja2J3dEjFE2Oj!=|N{D>Lhm6@H92*}V&St6SQ5#z( zBKwl1K5fmy+7`P@nHPDd%4I~`htS)2VyLex_(cBR4rNvcjz1t#( z0M66HDj!-ZeWJs7poqp9cprSM+aI>a*v_44OE--*EBau?atdTg=+zh)Hexk(b#o7< zuiCZdbHL0x6=Y(kg7WAD%{Ek7UR&>2;%2DbYBKzUzsL}my}^$9Mfz$Pb=J6R&Jd{9 zv9NVD=Nobd-Z6}2CkFYO;Lw=5_EtE#K9+fuh|zrMX-XkYO5P3Kfw$X))W zte|cq)mz-kV5uOIp+s(T80VJILA&;(0DDRLAP&%R{ni;We#U{Qvd0J$n7eL?wtlmz z6jJ2OYojtT?X^bV*pXdKF>)@yH!-V(-rFXFL4|HG^Br`$Ma=GKBuCcv&Dklxw^(xI zL9Iky6>jyqj$zgn6TiG+i!amN-Mu7r!XNlbbyR1Y4)kA^SE{)=pyFq%EU0`6=(%Q$ z?+B~49$eLyAAI9Hf7T_MZF8e3ASs_~S=?hoT(m@;yX&5PUkYueqyI_KF&#AD zaGg3(z1+6&Q%f?RT`m(>Q>N*y=jTWXZdkf?J&m`)b0u@UGm-;xkM-en^t}N60#Fp) z8qms{9j0EgxVXpyoU1hioUe?$7)0Y5d{cPglQembK60RMv;bVN7QLJ?ehFM)7d6h- z31^@R?R#}?m&|c;B}o*MTUngU1P;(@=<5D4SlUTHzUPc6GXR{hgEUb~Q5ES{$ET-J z!ux7s5R_vr&*=z9N8tWuNxGL;aBEr# z%vI#pv|`#tGD#wNZr}`SIkvi+l-cKFpTiwl?7;$4m4{98+2==zq0Y^hb`0U8se{jDDGLlaPnXtqw4x}@xA$c5=`A4=-3H(j|{ze{{ zW^bo4cKLVF7C)niK8a7#LNv3(-ZE-P2=M1#?p5@Pb@#&hH@Ss zZ1JOf!TC-FGbB}T%^BZ>E-Kg`bQ_R|_l1*UVh8{@|%5<}U(lR@2IAt4|nhGPpnnVvb&k6b!ta|>B zl(~JsyJrMj>rk9H`D6l61$q@t&#}NIMGT?>f;h<*03JW|S{}t8GIsz^KR#y}vAx~z z^4tZU7?qbwcZ5qJ>)U97zGSA)jHAnkTb)0SkH1TkGdwyMAz)3g+|pj9J7#veJRSNy z53bp5_>D6+P{^6;QBsC*UQ}a?zIW+-R-CZPZ#RmVrp=cbpQ~zA;^x=W5;54(ybAEE9To z{OcQ)@4*D{7;qDhV~XH7i&3M(jd0_43qw2Gtq|Py94r@D*^@7Pg*T;+5412UX*DJ) zD%oKdA6{_@zrY$4uL_Kx%a8fKPpfrNm)~3#Ah@0Tn-l?&Cgl`qa$w4gNsp{E${sQH zKglz{DW=&;<86~2_Rg-&nN(7F{(Oq&Y!`qr{{B2%{PcUFe?PyCmC_*j`{Dez#?9Z1 z{NE)x;os!?@ALnI0njS$z!VEfLqkI?D1a5JmsFBoASz6JoWW%~kR~J3WdPTdY%W^+ zdENxBrA`jAR0pZ3biLVBEqyqe3(+8vSSdEA)+R;WDiphVld26<8~QU)tJ5pT7q;_K zBYWt^PIUN=>W0ot(YSF+4QdPN2CH)@dg~1ytt2ILMvjs>cWGmC`s;M6HmO4hV685= zYEf8D6{j$c$Bg+p6S`KS^1Y_HP$ZhM;r5Q^$+aoq>`Le$>;Z@VJ*Wf9BMJ4vk)rG| z>eD8W%1=2-r@ytTF%mpo=XhVX$ZlOt^QV+bB2YmXNQO?li~!-sMJwsSMc_F za?qxM$XdFV&WvMlXjVC$fhDSItiqsEfW&UJ0dnY41Su67J1*S2vQcs~!QuExv6Ag) ze^xt_W3WPtpMn^3^JWRB&RFf$${5|e%|>YqdHGSywQ;+hXb*<=g@uI={)1uUTq>_^ zVTxY<4i2ruan{sTgoB6xaah-nXa?*LhN!1~yPzJ+!ORzn`caO$4ZBWK{nUAE(Eg__ zY2t+4o(~DkjM;`6%=w0LMp=o99f!;ZJB4mk+j-B5@|2myTXXBHQ|Xbf)_^6j!DWJ+7n4m4D+x6iU|05Xlzq>_3iMGEj@MGJki_T zU;3Abx@G^>1CpfKSyaGHlFGj?TRmy`{mkG0Bq0p{j`HsnmY`gUzh9pJ&ZU8w{qN78 zT;)Rlw+52ze)RwU04~gbu~O8#$?3lrh8EgAa+Hsp;sgVh;#qhy8x4SixB4ZI$Ek=u zl?!QH{EZT1rq5P=f#LcQhXLx0eGon1Up(uvF>ExRnth3Sj7j*MJd#R_&0|Dw-L3v8 zoIj{s?S|9dKjP?1Y<#KOv|Z#ob5S^w$x}8m@H8*xY6eOkQq8--qkPBw&)uwV|0T)W z%l|0FS*(_5r9j5P)mRinfS zTi3rtdf0ygRWyJvuJ0^MjCP(G_w)pa#C*X`^grlxA@8BAJp+5;G zCti7-H}B5xc}NQXwKcby;~jgJtM@UUh~YMWE;aQzr~CI$S)>9 zoqQxmtNWF^CI?Si6U)PY$#GNi7&;~88w9SxXh4x%CV{>UZf~5iTf^FPb&C02h3Ebn z@Wb@S@)HrM1^5Chty^5rvR<;C(^+5Wo8|1>y_&D!YI*sN@sv-@DY55@gkwxI8(kmoI9Z3QRn62rT_t&|zR$(N-fTrK`e(MhUJ3Rjl<+z$xMkKiD|Y z(w?IiDOomc@OUMdulYyPY{UMFfI<~5sO6WY{4H@pmdCTdVUlXP7$>qNY&_BUr%)gD>R3S%rO5f0BrN|y@cRegS1UBedwca3mY`}-vpit3s4K%0E(ue#xtu6@M@jZg zZlW3>Vcr1Qubd|3mr%(DvDCKBxn84x%4Zjj*4-uFf`Jbk4@%a@R!WXn5?hm5TU-C- z;D^}1dPnUB!qR>mz!cOm+Svb$&CAm{q2g7LMdCMglg9;$JYf-cs&V|Ps|;-)K(|7Mxr*tYWQ+lR#0W=c<4I!c!SFffLWpYL)h zm_OY^3&lGiRO4~Cj+z@Gqi@R_wtLMlf?4YmHLm}b5+wAmJYEJwt_nb#z%&8rP-b+N zvU~RPX{X6kN~>2N$P*0mSEE;NG9lhPzGE8xOH(0_x&6!g0jcZU-!8`nuZ9&1vvjyD z2*DSARyi6(ZYH30UD*}kn+cn2vFHJvW)Y`|7Ca-wY5e_PZY%q%UETt6NT@WA%5SQa z<6SBpOiwdd;QC4DI~uNJO(4fU6R z!^wbQJ$7tHyo#es=TY@(y25(m7Dm$vW2EHC-45n_cb43K$Kv2g&zJWh4DA^hTD^|f z^ZR)Qhy)oy*UBa#D{jwT$63v`^6)L zHzi)fvYjAyK>*8DLY*(gl<^2UKaoG;a{6%_u{Wu)VeI_LMOD!Wz?da$~HpdS0(y#f$ATdAgRoK z*XYmfZ)4{#%f5Gc85JaJT!CtlNnR1Zk3~AzIhj%0CQ9bWRZ#_X^l0dfRRuJs^{fC=!6%~as6>} z3a9_`%D9;d6siExidPMsgPBuQ(E>KZC&r9KDlnY2FWthR?hmhF&=&<=Y+8|H%Y%>!n{`mK6 zH35{1#gU^PoC78AZmUMe33hE%O3G(xeRjtvm50ncP6u_sPn1ji8-Z^bK>?bZU<0b} z!DW+04d^hT!lubxg9_4MDWW@_qr3BodZJqVEsmYh))kY5=-z-+GIvumWG=EzX0BMd+Orm1FI}1mz^a-== z|B8)z9N%b^ug`Cv=>)19BD*GNdd6JeXK;qJ?tvnUGvLKPtYw-!p%s?mM)(}#5ml~+A`id!9fP6* zo*fw)WVi*sZ2W55qqkMB4X4A*t=3qaeSyj(`>iwQHcj%0B)Vx&DU({KnNNNuijD)b zIX)S_APHvzZ_~zCSqQe{ZbC6opylhF`mn=J^EnRSUnF?+_mTs|bJhS|e%o48jVSix zRmq29Ll5JUVOc{lKNXDbhj7hjS~0acHw!$xc_Eg(Q!6s5sPy?xvp2z+>dlBE8HUwMW(j0>fue&H5>Zk2bye%~d6=kVp7O;9GvOTGl|$L{g;E z!2qXv`gC4elbKfvXXyEW`7x0xvxkW8ty$OdWZKUrZM%)>$tBYtdkNQbi}|VRWcbV| zU{_OJ*dr)v4Fje`8rHtwT?DfJ`;!fh30D4a5hu%sa19-qc|gwfy0-tw`C_|EoVgV% zo2u`C-nLYm570WCc!0j=Vu5-h(&%{{Y)Q|hM~!p6ZO+d{cg_cE#SXv8A)TQ<3TUFX zp(yG)+nvxKH@dG_yKAzY6Q@x1(!)<43IcMqj-$GM^}5Q}L2$?HY9ASa4}DSQIn0%D zlik!NZ7=#1_y1r`Q@Vj(N7yPKUN!GC;VA)X@^HnqqBS_%Km#g4($CMV`o_K_yrT$< zN}d@{Wz#UQ{4EWf|4Kt7APt4V?#@J)he-iu*fF1z|C{hSL%#_h@rT!g8Gu!> zvZhfJy>pie(6m#uI9~(4`!28sUq-2GARdOB7c@0Rey^d$uN}8E>ml0&H)$4eVYxeB zpc2oVHLDuluByCsF3T0!zv)cxCmVOpR3LzaW-NuN`9POk4S5tj{kz zYypB>OFhd9-J6^VVJsp*mP+GK@GhybcjQ|YCWxd8<9HXx>$zNjkp#A98+UsURi;1qld}LRx>XM8;Ywc5 z=~%Uhh%`T0>anu3Kdp6{516Rl?;G!F9Wbb|%OU2ff1WNQEv$Sz9)sUU3u~RGo?hY_ z1x{|(lnVLu6mfQ1a_WKo1uQIKw$xkcLdg8y(EQVy|YC?Z78U@ z#l7n#Dcu|GwyG%cGub|anou1waK{=(XKk(Ls`il^@OFzLFJc{SU@qO|Ee@FvxK3)i zGxi3*bgfDJg4sPKv*XREkn=ySmx8P){jU}+W(U7dy>WKuQI;Hyz+5;rY!Kz zh5LXYzs=Q7Qs_YzFh8wu6Py-Zx=!o*Gnzl10$k|6?)}`Le^X>%vJ~w|zuGwa3^zze$9xZUY)D3QBouVBpy`d4- zB&!YlZAk7u0NZa5o8WzTs?OL%RCpU;?%Z5U6ZWysS>!g8VP`{+g6N`G=7Fs9ofd=o zm#u-R6^UywnDWxq!`s z+1bK0l2)~})CO*oy<A&7_SqtJoaDCpz=1IEgUjc8j0=MjPF^DH%C>m zBTi16X(c5}@hUn-0%~XJ+@Q@!aqT;4;zYweSNwbu*z{)jjMT9tkqL2N1XK#U;bzx6 z4wO({D?7GTZmTMvR#gM2T(~*?*%VF1#-P#3-RYsN?cvcozT~%U+_v{bIe9hM1Jrrq zNdGg}HX`;`m-DD68~-mZzwTOqRn*t`S>EoSlTW{W^WbTt%EHHlSxkaC3XtjG6`P5w zBkKsiU-aJi37tjPyyfi?V8gUzw4{YY=Vdr!nya@-t(~9Rp;wF*hh4F5VRj=uO$G3e zey>(sY;tv3nfm*HsOM%Dxv@`zh<>OY@{PZ;A5^w?T%7PG@`=QeZd;Xs>~ulSB)!!0 z%&}@m1Mri`D23pz?rv@4Wv4Y{UeF|cS^>SbUx{;zarqJbfY!J4={c-#%j1ZqQ&+^ZDK7u&K)FxJl2}6~Tnv~{rDY;7= z`bsH2z7mg_TvD_g&p_?&YZrDvhlM+CYg**k43i2GUJ-rux&;olME;M>j1Um{~Zy0Jb#Ou+z zP$YW~{fYCh6Z;>ZR(V>l7ctFRqky8M8x{0=bS7^I^ViFm55#4d_eF{{{BtaiEKzXw zo*M~eHHd3n-&|+_`$5(Nu-G|mp?gQ6*=DSKlS*9!-MzgqQ;I5fMPuhI8q`hSpdO}# zp4tHn3n$N2md;*!_9QmTS8~rg0Uf zDhRGscvEW#!L1opym4$E_tBiT_J2&XKX~wiQ@d`Uw;P~d{D2Ol|FfI^M_xI}e2$!TC=OLwSs^-H9so05Le0|?8;|oa~1?0@SMFU>lqvd+zbY$jQ>es@o+s*usKk@WlYMA`vz|o8^%+ zDBK2Tr#u!~GKgmaj1t^2sG^f;bK1m7Rg=&Icf5b!%lwI|ck{S8W|g`C|w37d>9?0uG5} z8M&Q<#AYwF!QyKY-usB0tiqqLIIIz4c9DF)C78HuuwAXNwX}-a$=Nh3b)GgNuzn!S zK4XA9PB|qhi3tUNOvMAyz1vgFlHOO1JW^ynR=JkvP|$iEx{m+ z$e=TsrshU2qokAdd#cJwLYz&{>t>)0c5QvEyWZI8IyOGPNomJZrrQRc9&7onQ8ooJ zs+bayW1Fv@G@vV2d}?;r7x89YFUwBwijJs*lAB^DPivjrK8w)!m5R7;+*4_J)M6Jn ziy0p)OQ~H$-Pdnm{KV-0!xU8PmOv*`OyDk#0So#zUAG<1t&eo@cfY6@p=qrLotD7I z2X}b4KEwXF3q~FQw)1+}`JJEx_Cj`ET|d2?l3==s1A(=NmIR zx!Ku|0ZkRpsrOXg4l?*{60vi^wSF2P9V^zm4}-JCl^e}1|M7+x`Z2S;++X;!tx zpgY^x2d-7mjs-&OEhz%~g^r)s-csSf?d4^~@YdybJb<24qLKc_4$= zk+00;7nkOI)wIIV*@|-q75UlJ9I`en{c{#}s^coSCReqG5mP!ncRaG9|X=-)bD zy`Tx#EeVXvOJ~TcN7Dn}-DtqaQ(TAY=Zrbt)UJq89bdIhXON$x{_KI7$)oqz%@f8n z=V2wvMga^5N)(v35=IFhj77HE#O)@sA<`xaD_`gvpj=M)8u?;shiXf&RV}#KGAGBppDcj3Am{pl(Tm(yI*E1tN?k}i)TVrS!g{p z<&S08GPIfffIodnP|Ff8n-9^?S|>+H40c+5Xc=FOOd4d8VcreIud(-Ns7LF-Ew9AP zT$0zMOd67JlOs8ID#Lqw*-0t*_*hx2_PD5X#;|}Z__G?6;fIfYz>!!n`Ylp8iW$5a zwN-d7`e>i@T*8`Qse8aQ(w_kK@mLPZs5>VyJw>5=C%!34{EcAt2E^4BvPtS6W%tQu zs5s)Pk#EwC8wWP0O~U#u7SYzjiAW1*tj?j6uid#m|lOo3#5;4 ze_VD7&2wE_I%gor*02<Hv=? zssTqI?Fro%YDq}W z*hI`Z){4%Ev{sL{Iu9xKBtkcIR|mN(kiZTmbou5W_}k67CQdQr>5BPik>W;lJkVDe zxry4}LY)nTj~j=teEM{cM(mMlYdLLEzmZRy!)M^-E74bPJ!kuankhD3EIN7A+jWYf z&&%Jc&3Xy4m9Oq8R>}~yre>Gp4v8&cKROZ}ZA7V08f}OipS(!0>&=NVD|gn5$7f9Q zW^=wCX0f*0t*%&0l8*u*LFJ7*9!C80R(|_)KHkvD++cI>nEXD-6yOr$M7O{Jff2RV z15V0*-tPgabU2nmu}kJseW|2SvNDdDQHCdJHAckA&~wKFcv@Bl39A~u9CaAsnZ_RE5CzjSKtM* zx7=0Eh->Y2TDF?7`0XknARF1uQ*>XNST2GRuFkCoq?9+Z&)40pa&1q5{f_3s$4xW_ z#0%Djt`8JK34wEvP=9NejNX(I)up~TMnK(fzt-sGl5h_79*_yB2u}hwkRuN^Cd%aR zcG%%-y42GEXPb}@#D(#U&AZ?EruV+Sp>@#=dd&=&ogX=oV*vQava83x2zC4`u%7HO z2n`4@lZ(M`Y$t0zPS%J?2b$Udfw*kb0m|6`yHzS^-qBUX_2AkmhhE_jPU5_sO2%&- z50O|~TCWHe5tM&7G$BxGP*PuQz1m%JmQN-)L#Ofyv^lqTf3;bU*Bz542&z#(+3Cb2 zi~7Vb^{3|nu~2?b(CqC!p^u?SXG5vM0#pe-We^EMAHY z#r+z?nr8c1`lqY}lbn+BMm^vq<%}2Vfwx$%oHgxKL3OcZ+WrWQ^|8~!v1_$j=c;st z473UeoK}H~N-sPPCSO&LJs8=xcfNs3g)RPd7X3(qS=*BUuC2&Wq`9^WGmL8A(NB@ zcU)n#dPH29_^l~R?)_bR_mNGU&Ej|u{~CrNTja77>5V9rH?r1PQHiw=4k$R>;YcPb zf|7Q0?ymP4kPBJaK%`dqPw{G#QVB#B$Hs1aI8O?xh+x@Csa>IM9_Qjr#Xn<`aFf=! zJN`0JTMs!PK45b`9vW1=!QqZG!g2I-)-uTbqP!0V&$2bkC0=rFZ6(gI*$1;{Uz1tf zuLBKPV=JigsI^#j+r>~W$j%jOo1e7|5NvRYe7HQ%ve9dKX`uC{Ps09axP9%8x%l>? zA~|Suwf}jefA2u8qk(E9eNK_8>L=hle)iA4&S*mR!18+bX~Al{;0(AY-tqAa!gj>l z$Ys@w48k_TXW3xr`hLV+et6%Sc|DAY7&}m4q81ik#`KTG#gKzGhiW0P$g zfP#s5ze-&xE})Y3TO{v8sabRyE_Zr@Hk3n|N^oH5C%2rz$y4E&0g) z4@Ql`p3* zT;nt=W}qV2@D@BKrQ$$VtrQ#gcxVZLdJJ9-UwMy z!U2&we>6|=!CLvX&ea-TeB8v4nI2Tk_l#DZ!OCIsvvI_&VAW~jB1d#!#{LZIEJS~1 zYbA2-av-p_obp>QJwZX`WWFuUBWu1q&gFDozf{BySES`DooPx`fY^JGREIPKKYjJi zUT?7Xs}-ubeAL$1AX|A>b@j!Y5>;uF^wa7l{`GuK8_jjrHUQJ+Op@R>Ci0>rQfYTi zfkZ0{wmJj4tIlz3R!P#TDf_y{wg;}cFrD&izrR;7E&~CMDQKn|>aTZOzG*adwjaEg zf*VTE&H=o>eps~iwKt7186 zwmw_*6??w5TF5v73(;OC{UQyR0%{0)bjd_u6^H@((SR!qILd32=r#>d#tYxX^O_G$ zav+_2MBhwbd-B5r1S;LzZ*ytD@4iq^W6n~E{zSSywic>5FbcTzKXf$jjSlI=1M2iC zkGzFW%L9%>#-)Zzs`dUg@`z*8E5-lA*jtBX z8NBPFNJ~j~OG$T!G$Jk1-3`(W(jg$y(%mH`-5_1k-5}i!d%oW~>+HSPb^bW-rCx%c z%*-=S-p~Ec48dDHDT?4~vz%A?^)tPt!Oq%PTjIDa}p>Yme^O{KoxmFf-L}24UCNo1T#ALcD~h&#$j97{JiX$ z3zI?tAjIkMiScxcWNDaXV%~dcfOOtewjOw~tI`%$u(NaIwuv+=ME~3R`x)St3G{xk zvqT&eGz<*de0(mDgb=vu^=)DOSQ>f!(n8wkI2_^??1Ai6519B*JnXTz0Q5Jic<4NA zc$?7xDN)^yFlw?P2_M(h{%dymq<=dzpFlXKul#sZ^m`e=iSnM{(Dfm*XynYX!UyS9 zOl9*S0QcQ&dj6Zt?w)@7oiSJuhvjPvJQ1tG}DEB!dJ5DONKr z`JUH&pF>F|6z1n$Y7LjQS~)I8U=uL+t&V=~9pt=?w$ZP+nJI11PeIKi;;ER@XF0^1 za3JD0H#ap66(A8S5E0N+N8=M=tveBp76&huk54DPnFRI4z~+FGYdW#1`E2YWc%8FJ zX}2e7D6ywpr#el0ga08$#FyoY{~sOY8oaLiD}eV*SkB)9*p_3!VqSDa0`gAgYQ0VUYkfz;JOzhQge&-nZkGh*e% zeoG_9ECQ&zmtzi!heGu$52T|fI{;1%kcyt&QQw>LuziGoN9y`lM&HhVBqWqCc|H`c z_+D+FnW+ALOx&LB=_iZ+XH)u#R{AJL7*gVvfO1<>_w6?_ugW%hHcYNTHTJX9$QP!+ ziA*BW3S_$pyvjX*@-L$8@iIjT%Au4l>V0>6nQ;%gVif7(At--F+AbKJ4~( z5(0&$nx5W=J{YgrQc^UVocA061{^{o?F0*{^aD8f8r_FO~X;(aI|mTG)&i0c-R9UGxZn)71pH5hTrZareN%DxZb zAihSHZhzH1Zr{QBw_@?VbGrUxx6R@zdkV2uJ0{vgq_;O${Vz&dm(1E)Rk@$1zjSrg zpvlPegMxx{4dcwlEuLUEDV2FD3@1}7DcRPQ>sMnYC8bwur_0OpR5U&POhOLM?`jHJ ztK7VZ=h_8^j0^G$7WziZ`hPHB2l(KQyx@}goEDTn87(W)V2!^0Wje)QrcqBfbd&Zl zVqWi$pCZSMv=koM8kMAf7%JpvH*&5K-_H991p|kkCJv+c-MgH@r~#9nb#Xt#?XeB9 z61}HBs7VHWzoTX9CWepsD&o0U;^|GO4tJAqJ^icVj*jg9m!pl67wwV>R$SwyCu=tH zeyc5?iC|$>-^+!Ne;47d6mQ<0Dl8s#Ph(0ACNX>URTLDd<=r>G)K*$sS}^nqg|%v} z0>%AKy2Cf6Z4TZ-S1o53sCi|(F2jQl%HOlgm@CfDsPf=n?oYj(cw-LOa^j!f^^+mO zd#loO5eiKck7(ETfvn|pcU0ti-p9;e{Qvs6yq^ail3zCI|FEY(GYdbHZfu^2(#MJB ztAal}4aPSCj$mp|f)N|aihrp@mr$hM&ZgB6`Cez(RzmL{FPp2IB39=6_ftea8$ECd z8EWnTq6VY8%aZn_7;A^$jml&Ucae1)sZj{nk~-U zyeVkOS1F#z*Cs2|s_v<`ow}dCU2P^4&sZNNj2j5D)edrFx%qeCj_dzzvhYYBwp`76 zr~#|LEo>-Ok^jSNKiF>^FTX4$sL~fy z=(aL0;Nr*g4D}GAz{?T7{4y|5q>0P*%`F@+(1i^sRqY-jnys>%9{cTa(NsR-_I&tm zIP(EVFO~JRO7XB|2RT$c<93WMOvrkQD~7wn3$yR)Z#2K-Im+a9!+*`2XNxoKHbbX7 z=1s(w6D3Ua2WYpi!g3&f5Y>0s)57p!n6$I)7b#K zB4#o6h*o{y+*usDPCnsiCSNdLjoI4aeq7bHq_>EdS>ln+@}_HJObm-v$ZRm!wmOE` zy?rrFnJxNo)d=Qh3~_E!$zxfX9a7KH&{Q5>0S?^m-bw+m|Ev891smd$DNdrlz7=%Y8$$aU*YS>p=(1o-z4> zYsJ%z5K52bSGNV{#zl+>Ivi8I#WXx>Dra}#?ZaICHcwCAQb@1SSB0c77IQh#p~A(5 z1&U~m{;ZakmWi@n4vV=wf*d=Y{=O@Q>{$`ZDUGBTmD1Mn7E^0Zn@JSf7?Mu?hiB|s zpG3x=frhzyl4iSZLj^A12Th7pi;@2QwMI;kjjAzM0EZ!eWW}E}r{uuDOn%ySuC>GJ zOet9o6J?W7Ez;rj!*wznLB}E79ZhrO_4zXI_$pvuXVuHPY|W#*9+sws0}dwi8zzdG zobN8zxHd8mDc&|=C!mo}p}376%@C%ra6VqG0e6{_Ne4>F$0nF-iG;2^A-tvHByKO) zU7xfL3oBY{;k9C1NxRIBgZ~MeIh+}&QmICb8!~_w~7s2LG1{8RhMCN;is&cX52#r>c81h?oPDbLo1FoJ9J&bzC zVS{nwoy!4@Cid1xjHf^pf3nX7Zr&ggc zW8nl5&4Np~2%}~!(WP9EmRm{sj|%d^t3tG9-hAq(q^Uyy^w!r$^}ToD5bN%;?T^@-Bbi!B^~WKw6K*8-cm*7zQS;1>TNCmAwEcI3*L5U* zHXR64!g#~1t`~hS&GQ=6dn@Me3;J!ZoCV}wHUzYPO2?#x8NU#Bt%wA3OomLC1hSa1 z)cUjmcfPTv@8xjXp|>b}J;VV*BSL_G8@~&Y!2k=9?aB1c{B@CT<*O#4Rg|0K{5NQa zkPRP8t4$Ce{bS--_Gnvpw6y%&6>b}b!Q`GW=dkEg!`G})5zBLw&Wow`TQndeOz`=h z5o`5Rxn{&gC)`K^sa%X{ajS^vR5m)A_Og4)-?hndG~KgKNr)9LP^=Dr=sJur{*sJl z3I*G0&*W;4;hl3uNrt!kY1Z1|eHGyr(NyqVJUL+7>P@nJMKdt)A?Ki^CjY1mnCRI~ zo@EYuokDBKp2(i$;$+c#Prig7KTz!L$qrZQK06$N<1|{x0Zs98E*#wDlwrG{_~hlf zF`CXB&q9{`#PStsDI3NMHUpXJ6q^sbn6n63PX~?K^ zk}IH%s$4CS#hgX#vOG25{!mfGHzu~S<*Q1*?5>wqrIpq4M-s8(yk0benEQF6SH@by!{Dp{!WAd`DR$>s&-0h|-1KAGpf&8voWS>e!%Q zVv=@_Rhkr>+&LfYo^BtK+4AV+=jU&9->mjDO^Ym=^|b&c8cH1Q{#dEtuuhco*s&cK zR-^<`t;ij}$l!}Mj7KMI^jwwVv%9jp`u>NTL-g_(;q{||fB;;XlW+I87kmN5Ih&g& zhP{(yztUIiTJObaynfZjDimVLpZNhD6b((0pqG4Lgm(&QyN$?FLh!#%@A-&cXSb-Q z1WuW@az3IcqMv?ORG*v#1``ogMc6+cZ+kF-yG=@xJa)jqbYdXe!FC%g2Su&*nH_!B_w zP3e0do!_uT`oe@F*O%+o4ex&`&#+#VbT|$uRSVTR>UHJbCXl|H26r7xZPJWPbSVl%!7;R>)-Z15djuS0X!aigQq>Du48 ztGWBxms7ObvEH@q979$;A_Jet5*(j=o7ZxAeJ#4U%WvX2+;l}GkZ#)KQCgp4J4?oL z;rlQn-+7%Ck#Kfu*s_Sd-!o!i zN8sTPA9|~6lw+YSB`n;Qe73El{T}7J9?MVuCk9wp_}ACVHP)%Q;!3a9c zLw`z8Vz|sqSA1Hvgjp`>o!Sr+oaNBe{{iIUI?bLRPIUtN zMzW@;BPKt!PkajK$73;hdaCtm%gu6pFCmeUFE@YA%w%cKof?~%h!oiAzc``H>vhiy zNnt_efjDEpEQ80AhG%QNI`0vxE>TDtFmD63_HX-R3YwL2XH6!m!B~YYDU zkvX#lPAN6F6zKQUR$OVq>Ya8eaeI50Xfw@j8?fm&P!8v}hCRJfk-jX~qJ}retzP2A z|IGz(c%9ke_@EYVp*?Mtjdt_7_%C9qCQ;}S{9yR`r}^_&VWX_9SY&>0%xd0g55e#m zRVROWEMo1bSiT@hPn^#-TrbjYXHy^*F=d_<7M7VyjT&#Dw;1_&wFE)zo{kAOdg5J`Xkbgy7SDYZ5V4>0R$r|TH5u6?T@^-H+pFTPDs0> z#CUM!czHoV(mAVo>Gx4-$CWC@%K2JhYlJTAt4<0xwEdt^jr8vz?{sVuXb{pA8xa2U zlv0nOSuYC10L$l7AqIEG9?aHYPtl?PqfFqmaf`uOPINff-yy`@tx1De5zaDPD$HVADQ$A0 zs)F)B10=^$!WN6qm3nXcjg?S?jg^w#vY5=bfo^25MXFTk$eFLESrAYY(Ram7&*2|GJN2X0*tPo8<*>YRPHA~bd5GCEZ>`W4AXy3f3st656 ziy9aoZ=xL9yYP9a%57F{!d#)|KqD+N>g&ACsB`NweF};g21e|I>CC)^DLdhpiyfE8 zS_|gu;}sfup0aI!a4GV>FS?)NsYbD?=|bbby_yUmp8!!d(gKhgoF1u98G5$lDfdyw zGwU~z??Jh2Gk=1j(;Qsgcgp{mgdrFm8TAUPXDJ%@s2Knr6Wr40R!V99$@pg;bYyGZ zS`RAu>6z9!kLYSOXbQwQ%+$^T_lX~e0`u|Ho*}IIts|j3MQ^TP?L)YyJHz$UN1xpO^bRoaiYxX@97h8Z_B<#A0O7Y z8*4v$!=(*Z{Tdu0QcpjTQ@HvkfVk>&k#h9q9#b~gkWE{{ZQy3u$Wj2R-ZY9>nZCE? z*S<49l;Xd0f)Az@(*q}~?Md6hTfSeat8;AI+S(LuSO%!=&Vw0zK1c<=qE&nhtQ1M5 z(enHR01)Q5#l-Y?GSOz-^_kV&Z$TO1-+>g+(O#6gvE4bq2dpZ2vFrZqSl4fDqupG$ zN!Wb4%@KPqBlYRm4^3Uc-zBV7kc=C60q(o zg)2gG)+$PnofYkBTbGm52)X4EUTHb zFLfk#iJ8g^CvF=r+vpSc7cHaO{q$?)i&Yy{efKaie=X5AANl4S4$@a<@OxnAhF;af z4SdK`arf}ZH3?S%sXPTCw_S*A=jYRZVb5@}Iz$Otk6!X0Mg>{>+m4m$TP}o|9V@iQ zo|AcYkr$&dX`{(H0dn(2fM0ezn(=c9=g$VKxb3rJGxm#(TjjTZ ziXM^}@cgyv4jP@G>fR*Mj>QY3k*C#d+R+@fYAf@k3rpYi+i)Adtfb$r66M;M2CLEs z%jSdYq9t-^MwANm#Ebsw-5T|6*^sUBUq~qwk-*YY33`V8Qt0Dl#I0dUULG78>R)f$ z(l9d0p{o*R=I%2j&wcB5@|a}#FsR%v>Pvr;Cj#x@jivbb^iYJ}lZEeQpacOgvkmK5 zJ%@XUmrW1!3(5@W5B@S9D|wjAqN|m*I@VssfLq`%NSchgn{euFXQ<;31rD^DSxqf` zfAANv0>O!AD>cOzgudC}K#f>mo&YgcK6k|X{a)XdwflB&TR@-n_L|imz*+#-G|jDh zoK|U$?XL7KQ~!0Rak@e%!r7UEdBks*izW;0k<+HTAKZf^5A#shhYKOKwVV@^AJUty zUH9FUl{cL1acmn%ea1Hhe2GU~dEC~KYTcWd4tU_`=!$+>EP{O?f$s$&Vd+lMdzVhx zw?t38C2clQ-g@G;cqe7F$dVPm%4l8;Kp1^xDP-AFGV+46Z5(|s_DKG;9C0Rxr|mur z7ozE*Z-N7ZxVjHanqB~Cr6AyZwAg1#Iwqq9bWI9G2d4&MfVYGLI@id-`1L$m&b)?K zQ&nw7>8Jdp>#=8Y%WzC;iAAZ_b9iu*m}ZDl_IJ%TU}wqq$L^vJS-ycZ?tTlq0r{ME z0?BOe+V38cf>mh(`MOaO)tU93n{2-3Hi?gD@ij}~xOILmjZBPN{bk8y#4%h31(n`> z<6@auVXe*rU|4~}%x_URV^sL6)#sZp3?R%F+AMZ=9T=@_eEu#&6|k8+VupX|DU+}A zXUlQoVrxEtUahOVh^W3FG7fKQgZ-nA?B5TwLf>xB&h6f!~@#P~CR#A0~<8$+X}dV{A-vc+O2jMsR+mwxEU#m(2&09(v(SfJ%K zPi^rpl>DxNl~TyMM)%9-0P8#*QWQZn`^^AscR_G*C4ZBI?-DO0h7jRy6V09hR2;~= z!9(t<<%xPP7dI@(pxr=4y>By?F5orkYHr=P3BEF5-J^&bm=c&V1u1UD2;%z`J@$9_`@z2Y!9-x`@d`xm}nAr*O_kdp5*N{<$+e3ZT!g@xKi6I0DklzlIX*U0)|fi! zC^sv>r17~7U%Njfq9&hSo7~}-SYY@+nl+2Ii@dO*X3?LAz%L)c)CcLAbb z_G+w;*8!Dxz3sgJ=<+>cMI^vDh-NCV4*{rV%fT5EG}9AZo(jY&aWd+lW7ph_9fd_SMaw3XASSxC;kb~b@|1ni z7mKVaGuyfKda)CI|4pU1>+nuQyz~m|v5&MT(tOsb_vyh+nS`%d4*~9Th#YeR(>w~) zgWJjbgL;e{VHgm?g_@tM1Oi~WtgBhx3DjyaJ<7&+NVF zZs<5Q4LLP6-%v4<6ZCg2Z zrLL!E6NvRAnHSVQoWlb)Q$}b&)2Uk#jCoy7pqGUD=?$b^QhGw(Szjsg0!luo8)4?v z&$WJI3dDTB$vk}sK`3U#MV_3TJni4P%K7?zyvkv5b*wfDU9iFOi5}DlZz6kbN*VI= z3ydC<4c$u=Oj|hf@PysHh-b?0`I^a6(hyORr5zHi0&EY|p1xg}D^PM#!@;+b78kz@ zYxE(~mm7PoU6g3tKGDa;TFF2umNQ#4W8GuhPUk@4tK5h46SKsUv5 zDUS~{Sn7mk_MMXfV&5qYmf+xZN2)=ANEpR>dV2!nC9xXYYt&b;>f4*9$x&s0qM+06 zO7P)B6XStI%VPY}zT=kUME#|8+WfVjmKGuRQ~hA4?}k6#1S2`y1Skb%K7I_GF!JL6IE~wf>hMx#OeBj@^^2A4h2Y&(pOkLG&-0EYNkNFM!G>#eQD+O1c#9hyW zmLzNq15opK$?|jzHSHN+Q+X;NlCrcc2DhX2tp`3-16>bzT5$VkXN^~TvV?VxGPKhN zc5@?mm4c7&H4rICR^PoF(71eJ9R7KS(f7^!l_Jk;$)w$%l)}$?%7L-*=t{ig zi61B{^qV075V+98;rR0PH!sWYS!*f5FLDgxxWg!*v_V4L|1*PP+Rb$y>mH8|;6-`)@ z9XDYVuj3v|C-=jcJY3{|qKEUz6|{*f&X&EIFDz&Sh4kal=63o6ZGU9Fu@)7Vr-^G6 zq;BW94&*~_&!l!=YSgw*LU20&lv}8UNNRs?%S9^qJ2U%&+h=)rOyn6#{s2Dr;6k3w z?C*O&&*tMsZD6GRz*bt(0tdG3c;)F$B;IIe+p+)@6eRxy=bC;0B5N?%YWP+k$HlXq zw_e}MV!Skfv97X9a@@#@(feqU?U!#zX%X7kc zT@hvn6mNaK)Kq3iJABpg*RB8U`34+_Z{L5Ufr}h5KswN$l&OGms9x@g2!P)omQ5_u zdL6TwisD8_&?-OT0I&!upawRd1%ZGkY+33BNoV>hXVd(bwb+1uFjEXc1u}Fu7Em{R zB^bnl(zxE#k|iKb?kIK1f# zYBz%Of4qR_w&Lw!?#=07*F3U z^4YxfiQ)D+8QjVAZ_AGv4`O*EHAf)p#xgF6$bS8LSyHX~?Tv|nL*(+0OJZtAadYjfPZgSi&3r9dbwe(j)i5lq zdT|JFU4}z_TscT{HDhkLF0y9o4H-{t_M>>LLV80QyvZ=mhd*0Ees?}-ZEx5=6UB;; z0yT+z_1ajkCtk4)TnD`!`~4KX-CiRweQ~moEGjZe6yy#6X6*MyO|USOUs;U*e#dRE zVcc9g1=?D-{uO)kZmeS6R)#Mtx*F}Ce225}ZGI=raxqEJRf+kZOG6_P4~aO=;o{#Q zN`N19P1Z{Fvz3v-Ug2j52W`yy;C5vFCaLi6H)C~Wk%San*;CYriG@&;F!~6nL{R|o zuEFXKoGzY4=MuACpA2@&*#*6IaFG5dI_&X%=Uex4ZOCu5o7kak{HuTNqUP=pIMXuH z{B$fEhLv#Y;6ro0eP6{f@zwCv}zLWR>E-x2q3i##>pWARGWP6=*|j_M?oQUs21(cYzEU z&(~*@^cNG>BrSEJV_og#*dC*Dy>1$CpJzb+rJ2GDRQvNU{LarM>!+*x9F4O1Dig!3 zZW~6*eBCzL`9tx6F){ETJ}4$$kKU&0Rhe+nn>ukvLmHx4hPl8Yy{Ts-0@+^5l!(JU zVZKVR@Kb0N%e&B!D8k4D5f&-2E^(;+)tlcFfvi3|Ziuf-;ef9N24IX#&xU^qL1zeg zY-8sQm(5lVQ)DKovs@Oh>2wPi(MaYPkk-zwra>pJ+D?|@Roc6du!t1J_Mf5t9q&6y zpn=D&UJkwjI7Wa!ez-({O8z68OW$mx@5x%pG^k6QLdW3X;j;l#fmHb`63EnIR$#JK zOKcW_$%iT&{mdG2l0UPF138vw1A&`w4tTt?|#yVh(q2=30>3j7*(B!8bCLm-V(b-R;pD3)mBOJ9a;a>{pg4qe`}Gf41nA#FdVHJxXvh_k z;6v`FOR3B*GwNs+NWo%Xhhp)nES?)Q8Xu)a8^HyX82I>GRm(}4`-2gX{;TEe%DNM% z(yx-OtH9TCKLugh+6c8ho%u-;nKEM7-s*RN5Qo@i4`SdfZ5u7&67@MJXq1xq2onjn zwdJtS6GFO*6MzIZVSiQWBOqBL?s_~kyFa-Y9blm|0lLk}&%JI%=&Bg9`GfoRvXrqM zi~R^s2x$Fja6?X)dXiB9G}2+ldmKW0Fg-5Qsy}3yTK1{*NidfU89}%Xod~t^LodbLfU+~d%;z|fG z6(B00ds?Yf!+2#Ry_RaiH;w1;;R7)7cEWK=ywV9e}N+xd939gLn?g^l;T}l;YbbSyR#jn z)i*jlojAQd!|*H}_3oG7-oXVk5JO+h^DEW@mh zcpgw$Nu&KK#hO!VSi1%3tyFt7{}mDFnZttnbprzEvp>zQ041QQJ^emUQFQxnvX#a6 z){=>k%MuMtl`cVc;_5vFs!!?$%Zd8Q*}oLbFp=|_sBjh)+|sH)V+&z4IU=BvE+ z6~GMN`l4AVl~BUP>b5TXjYMQ1|6m-H?YUr-)AMs&6y8A-_M&M$i1k25Fig)o05G?nRr+s}z#(^rG=C>xR0a{x3mZcz*57Ywx9n@cPHoi-_O zQX#!VJXz+eq5+$FfPDn&y3T5l0e@5PYke)!j#+=76H^KA>r1W7-Ocy|@DJighvCPY zolhdUQf~}^Y9S((zyiVwDD|gePBxK6+J6*%YRA}N)(L-?=?zyt6XU`Ql~AfG4p4{y zKl-}OENXLp=i_$^Gr5Y_526St1i`^WGubYSi1AE#P~|gkz)%xSwyvdqOYU?G8*jHH|)J9u_4={NRUlGs(%Vi~h~xSE?~S^}FgJnl-cSSdlR)e>>{dJwcc zc*twGDpfCGHV=KbQ?ay{?4N-Vdow9Es z^snAr{c^Rwzs4*JPMJ1{t`nzxD~;-79r|AHuu!EK)Bz}* zHcKcqX1+mQZZClYCcorAFvSgk5@Dj;+z*B1tfX6jE>ER+&u7k1T4GBxB#IbDcO&kd zxpmOY@HrQS;krhRCC^NyUbK_BBE|EHZam{r3?W4wAa@3p%iRLX!RBL1T>Wgqn=*2K zHK3pvI(3BCC-dQdB6qWu=pmSzYK01_%Rio9M>jeT%tfk=Rt5coe^%QW+tM3Qs@W#y z9(K9GZJ)4BJ+M&k0hUfi>uhs*=2eFyJ!_O~X=J}D7B#LF zaI$PupIRb9J8_g1fNP}DX2#%ZvmDe7c*@!BH|x)>v_qRf-q^AU zNUis1Vh64jOtYmE7Hr#bm8{M^rMI?6NW>zZe_T=N$S4ZN@XJTUnT_e&o%R;rDj&>q_iQ7KuTB8hk^Hg@Vtq5Myqt}rmQ zkh`U#zi36rGmz2UM~9uOBpv%qE=l%o?7W1gV2>a;37%|IG!EkE0pu zILi$MRE_t;oA=^xnf=z46fOc2CMN>`G9?P_UE7ZD z%J{4%*ihtbY_D!kRz$byr`?Z*dRlr*9WR>zMgrg`87fQwEdmY%76kkjqd=1x{T)Q) zZ?jq?y07PLN!)bx&)(}$c5%hi=VaQR6|$_YUOx(TI^{w=7*PRlFa%hxZ9zX$g%-&L zZe>>^2kjR?x5dA-geVgThHzKIcCC8vHw&0*uI9_OHGx#3$%KOD7AL?_^Dh5#WvBny z90)+Nk8g06b-v846(4WfiimYk!Rt(X;FBnE0~QbIvQ(ImM%);(IGafi1KPu>BL~fn zMcLr=rm1S9tjjk~7ii&(M_kbPMvI$31QuVcio{}1_RVM076qR@;;s+I!TCp+pq4Aq z?}|x_T6_Ut%)aQ%c)iB(aH+#13jnc&4|Y!L5b6wkSeTqtS>N1bK#VBXZ4fPRqxii5 z6ipDvY_DIdtSi9%y$)2*q;3o zDG)bcLL>-CXuMAU@PV_Un4`@xz7f=1VD7LBPdEeu29dInAKoK`Pk*cfpit=O_^==a z0X3&mp|5!D$s7qNT@z8}PIyrlbp#!$+G}vWmMKc_Q zj~{!1Dq;{}MSbz)c)2clg=30+TZGTyaaw0IxhW2M^(+t}caIJIUP8l&fT(}mn(`&a{ zl%`K;YMpvGX@7A&c)-Ge128FQWPobItcCyp<^ZH>U4G`o$m7>S=|BW`|uz6 zfP`SkOk4Lru%} z^(g&E3Ds|`bRl7MWUY4#GJ>ABP*4uX!yhK%M`1#vjlhc~U=c74c6$AQ&(8173~EnM zDu3#DN2z$a@o}^2DF*eHg&7w}{Jm%4&9B~z^fsyT>#moT2Rg-qf3%c0L;_a+mtW4``tRc8S5_K|*7JknrlvN>c# zlrA@svJM3M81cU&2cU}pV*ofmfRXUWgdJ=Opv>JqBz4Z6o#ZIT?F1j!;35Qbk^Oi8 zz8o~&I=cILGBrN@$F+YW5(%$CSBmYmHanw?g(BE|nM9E)N+dr8-#?fZ%~rjp@nI!_VDs^QK0aKK6!@sRp+T`Nzmb>Wo5yep^YVjO?!-o6?}fvC zk1}W^C(B7Sw^Dr{*e=4+!viU&ipe4ZBSTmiv9S_LEKzlU%H`)09h@ZQw4o|VXkY-7 z`A=+q16ESGSQxSL%KyGoj;Ux|s4bccbbunlPNzLWCI2aV!s1Nlp<-_`H)e>#*P_nX z-8SGf`Y&L9TrdofmRIe-NCRIP29g(})#D?L_8q*vsY!>EXWgY1R~&%Hx{xZyJ*!@r z1G=#RbIrDBgo-fZ@RnnvK@|p_&a1#_s~`wsw=Wu}@|p_s9lcuFx9qolS#B?#kFB3# zJAtHj^tIsLk2KocC;fTNk`8DCOY9JLd_sx-#2@wT{)X@VFgB`KzdyNJouk*hq1MPgMc4$R}3yo)nFsE|G2t3%{ zsxmsyU)p#Zye7}*LEMP_-y920hofXwVPO-o)TDBZHkacuDd`y_oDj&BzkDjsaUcjZ zHqSL+PqCd!Q&~5y)^M1scw1)l%GHw{5Kk(0Sat#*caK*+4LiJLB<7WuDob0;aBVfW zPq^hvD2#Qwz8b4zcxcYck^I6%bUpFH?YTRokk+ zGqG6yy_U3UKsqD>=TU)WG}dY4!QR*NE5~BsgKpU7cS#~3nrP5ygA0q&gp9HBN=9|5 zO1xz6EdD>c^RD?W@{at)ebBy@)j*hvQvI~)XY}lF&cO6zxym0l-@PfNKc@Az6JOr2 zdF|^hwLPGF24a|TAn+lBhB|cML{Mn>fJXfp;xnI9_jQ^objwmDL5cb`%PDnaa{qaT zz^Kbcy3Af&#xQIbnA9Kn|94Uf+~D*(%VPytR4xI0ZupDfslJg4Jz8c{^j$k?M@nP^ z++B{I2Gk14GOlCFU#52Bo$4;X3XwE!ock?=Q{*z3aH^*{Mh2wHmLlXY#J?;yl9i7? zFrpy8rC0JJZ43BNQ{QF4IbT0rLF$k9z%AXVLP)m-i6eR~VG$J8`RYk&5nPK3M!Tzc zwqqZtJAQvgfej4SoNYXV&+u+lmP_t2Sc%3ypgCf zMN(Yh;^s;E1O8p7)>4EQVw|R6JeF!3Y)fmr;0x*DWZjFzA{Ay_%R1^aL-;$aCztsl3a4 zhr=EOpVTSvR{L#>r$@}~5qr#bOaSlfjInIOO3~Ty!Ra*v0)iymP=pvI%YhhiC?g@S zS-czYb6fB>! z;neLU;$Y`dXliUVndphJ9p9-U@r5|shZ!ytd2Er>TxhJ&{c%b^`;BxmiGMfxhS!5F z#8eU^HWlJ;BjKY7wgJ%%z40|sjYK?-D-yCv~%*iIb5Up0_B;HD5_`~huR{+ zha$S(wGSdii{ttda|{ZB#d$!fDTN^#Adq7;hLEUal(V`4FYM74@CS@gF)+|*p!Dqk zj1ZC8^(h*v3;|#Ajp>)b~xo0sEBp-~04cLzIHvcTQ9c6acEVY#{f9Jm;8; z`0<~JLodC-nA#{2fVuOZXVCnxiU#txoR%JLc#K%WJ2xa&F5@Q9{9Mu&&}8Jrq4 zRQwpz>~8clf;FY8;r`EU_k*pFqewjqQe~GzRP}j~Gmdo2e$AQ;BW`5xayXp~m(|~n z1P1k`bd>*$NgX8>2mqUTLR9P73K#3s8ZH@HPZ_jYp&tGyATE5 z^|vB*bM?hdekL}(ekf@9d>CNFZbly^)h#Cl*^WO{R8(`%qjPg^V8uS)qiOU0zgOHh z;Q^LB)k&srZ!vwf}3$GA+8 zLbq4htlfT4yO*ENY%>IP*aWgA!Ez19%eH>zHizbAvz9*INM#u}GKEgbq{=@z;gV?R z7f7kYF479O{dS&)`S?TCj`@=a&RTZl%yw}cnCL=y&e1VqYf_;!R-ITB%i61%emZ5i z3%}~$joDZQxV6=3(>{Wjm2}(R1;dSGZ6xsaIX?2$|eVl+C)K!r=KG zd8+^l7-)YMUwYq2Z@@2Q8)J|R=&L`(7U(ML%GAd;39*<`J@kGSS)A8CjhT?-%P%KS!wkI8RMEUf|pi!MTMJo5|YU^t-HQxV*W?=bfSYkCY z0s?evJv-PDMnbC}_x*db-3~N}I8TH1v1IOC7Ikm5ht+KQelG=uEPTZ^BkEj5O)1}3%w)q&ANMLpO zx_);B=9kN{`AU#q0R&7=;uwi1uLyBV2=Mmw9zVXJ=&ka-F)&acw`*{dCQ_kr53UhB zNk@+#TOioYLiJE(Gw1ITEo>1U*I;1=GrnJ;4g=;aOQu*n&lg?IcbwCA28N`-ohrja zjX9HI|1S>0Gy8Xq3y$tWJ6us_-e1jDI!}ht*veE8XoJ8z*Vh~Oj6=iY3lcF33JOW? z*ZH(NoyQuzA7=6|Z?62MN{!zb$rbNBesy_ZBFtA0^~@IAzb$`Vas1Tz_F0c!FB|cvafifAjMrMw8@OOG`=ij7X>0U5?}8b9-yr zMY-EAv$0jHp`3l@5SyS?*}Q39B_>z)sUv8NCb1c98=n81Js zXOqF!14AaBCuC0DK4-~JTPjh59P8EM#ie?&N;CRy#Q%c$@q3oRG4$~=9|>3<6<+mp z-59+l+aWwXpRk_=U`Kr~{AOof1?f!v?yn{+-cF@PQD3OSw zLB77A&8I5`Am08pn#J@zyBRvL@axn;f)wbfVK+LTD3{rOjK4vVIxO||fAhM!nM$p7 zt37N1BEovLiwN)GB1Dm4C_^N8^DI|n>)>R}3Nh{zV)zI}#6ZB~qZ^R^kI&D-XNHBq zs!|fby#gHwCYC?b2r$ILm8v3ziY8XAuri=D~rQxq#N-&F*1+ zvjd?sH-Vy}A_!C{mE>UYd93}Jp-#$I7g!cAAuH>gs@tNCY-?*fyysASk(qEo-E@(0 z)mD43w+BT;L1EpyrrzxlJ9XONkTnuLAU-TQ+cIz_{({SO61q#JN zR}Z<9*S87RC2%-+`kXQQwk3BVY=2HxgWvhuO-t29;aaqytDBO^Mc?O0CeWGk57qsK zQq21wGjbN!juTPGOz2q%vcc3${^Q}C8naI~XnjUhw0EzBI`Zk1H3WhjSL5dWg-mR- z5*Vbr$Int(eTKFAed`@=SA8ftJ`=9xY9gfy`h$zLgs!sEl9HmrhR=clilu^Z0rKnlzr5$;rqFJ4ltC)%qTx2RV!c3FCRaZVan^22FUVoFh#veJpyUV=`w^2*xJ|{LY;>^V%W6Iiy z&*`@{Tf~Kw+7RC92op#tKUhM@$MjO!l*6$3oaOy=A~S-nNsX~&EB-l(lKeP6XF=eI zD0Xab+H!T4;cLc(dWR#GZUz_Ym?K2N!iozKU-%jVR*v;ZJXEakkPId3pIeWDf&w@n z1W=A5&DL4rssroMex58;8;$%a8Z0t0L(K(g`Rze6Pz?+XNlD4bu1?BSkY}}u zU2Gz8n86JU45rQ5kiXzBJw;z1d$VToc-qSS3T;~VK%h*3tL}K?c4?lL0Q2*>JI*y! zKoyI|4|~2lF)QEMZrbqa`x*90bOqR4$?i7WSE1F(qUXT(aue*0+YW>P%zmXx#gG<< zD@}~tE{A^Cdt*Fjp$-(byK_$shHozPzSz58>6+kgzIJ>3`t>h)HEBKaIv;;Z5;qI) z>8fKl1*jgk-UkFd*QEF4Ai9|MdAz7c0nY;h%z?XsE5_5)I=YU)fDR5eOXV5^5mW>* zBaY<$bxã>eUrftC_LL)8_y|7f_ly7>44ds|!k>!i}7@*mhCv+~@m zXL7i%ueu&|zU*5s`e`Q7=9;y+)NPCrs8Mb;vp|zel78XAW}gQa(^J&sFFAk@!uhT5 zKU$&8%F3#cD07l@=eu=(R#RWw^LWt(GbFKKY%Si-(h6yNnDBdCMn=0fpf*MtwdQwC zj=*our6m#`#+a+|s`Yvp|IW_C>Gl?(J$l4=@>=f&W|_1Oc+hmc77zYPo8nHbg&vFj z(=$ZH@+Ar(AC21vn~frj0OD!1?%Hy0KuCn@RIUX1;CS|e!OCPl2;@&eRLdyeJFw(N zlpQXuaU+Z4fmkh@X{~LhL8t^eT?{gr5M#8^SbpS9L<7FUR}Z!-y)I0PW?C3Nz*ywEhj@t_r#6w_Da#6GpzuleCW^=>D5gheY496b4QoS z4Yc}a7Bu?wxdqPP8SL!%1ZJZ%%_Kh@1|h+JbAx;KEvPiBZI_GcGMcsEzVFZF-@(&w zu78F`KZQD`oEuL0*So#ZroTlIa~>{L5)4M4LRt(+TuDpd|&Gn*`d?6-ph zCzlkK`p)#eOjsbSursCAnB$T}dpOfrxo$!(NfR8c8>(bxJN?pFkrt61e5bggJ37Q+ zp^V4D_z%vXLeGeRY;C1~LB9Ubk)CrA`86Y$&J&;Xc~x>%i^D{4y6@`GU25poDQOL+Iol42}= zK;RF)f6P`}Y|Wm{rHf4%q9m+j2n&oG{eyEWzxk_wy+iL0V&$+2$CCr?bX-CLL_B%V zmR6O)-q6E5JbKsoH9(+-`~Y1O}2?}+rr1hxCV6Q0ahiwo)# zt5#`;MMfefIozsb8Meg5#i>{A8q*)+D|N5~k?r;505q&1P^;^O+{MBk|Fi2EJYft> zu0p8$&At#FR(WO2S>rUhfEMtXp`oydge;JJ9`}E#FOF)MZr{#%ARo@7fNs0A!^dVN z^vq*vAJ~q5;HXBqr7-6IyZ}tMM=RJcD1?8dGl6?$p@r`YMj2YHHNqvj+GC+puK~S2 zKZsjf(@}>j#tGrA>9=K$-D&Z>vVS8Q#47ASp&qF>KINAty13eI?~@LodDuHvZ*#4d z5{%4j_-eGTlS!-6O_6H9laIwH7K~N@v?zFfYG1u2|Nh#*0ZjSIB1ApBozhcR!=LuC zHHV^j94J4Li(BjGC(vkvw^}ZQR4?{`Fj_Lm+taIY=j+*;?ul%&8 zyy);)1AJIz5~ig}**DvTGHqO5h7|kp3g?r{s}r8#>D@iJD_T-$ye5KgAwP_8S`Rd+ zPzB`Fe`dI5k$$Dmmv}XSaK8-J4&E|qnEKPpo`FIje4WA=>D}Ywv&iqu-_c=ys*Z>N zAJ7t?e-N`XG`E~Q=$A*`4ja?cJFxPb``*M2(E}+p8m#Ytl|K^Hy;B^Q%H{~g{qQ-4 z!&U&xJqkl~>o`i>Nl?b3pyHVlkuR9BLawp8z9O1t*SW?3JDCDcN6)9NH-{Sj;e4YQ z0zlh?6B%y*9_>lYFtfLT!xEPVtq+y#Urg9zr3zCUeh`om2OIr}w#59Br`uq8+lhtr zxn$9kb)o9(q8m)CiM{*lexU9sR#^XH>kakt~Z?X`E)% zYGktJU9$X0 za`;R}3=Pud^$yZAeMbrOi0W=@x^VW98z5zVgIkNa0EcD)2S(~B-|Vq-MFD@wRi;vh zDlXOy@1|;T!PJ_cg2G_nd@a&j)r(*3?p*eP8OiFeps%lQlIwGx!28c(2_Lmag};@B z2x@=)=|O^062EvopwH5uch=8BXg!kB;)3k^iVb^*Ej~}RdB0`}c}eW067C5x4-m7n zW1THG4FM$_jgT<9Or_jMcEKbN$i07cb|j_~Srcw0)ZxNXQt*&w?{G-7G;4N%tActCdU>Z ztLly5!@k8Fx?3;`_vFYWv!fk%+DV>v^2Fp$ZDg7x!!@6MnQyLCRQMX5`2LkzvoBRY zR)X(kGgzXfCFO^%tQHVSiZn+F)CL3dsK0gk#8^10=3A`vG`lDX5GCFMCgFir?-!gG zAUtYquMBS=9*Q5%^jZ@q!^y?TQF@Rqq*=2thcsLL1t8*mu@U(`hQOz4q4sUJB=~k7{(_@`i`SKrF=-l{>w|QV8*hK zyrcv2^199hI~nu8yvzg4xwIO767l^(2-vrVz9-Mx>6Uo)h4KSODNCdjd;~+70lAKesjQ#qe1?v@WYsZ}mM7&U-RL5}xGg}xcGjUE%uIVWY87I0y#LURZ$noBA zBOrm#SKDJY_UQ{BM#dWJ>kD6Qvd!pw``XHUK8Hy}mRv5}Ha0|I{`y6*b-LaE=;&Y% zE|j_+K>MKAsXRj02u!pUFRiO2#2LFyU&tZXI-l9N_VN?j<$yMc>{$u#iGi$(P?dL$Smzw!AvHD2*%ri3)IRk!_a6{9ut(zw%j+7Q35!bWcgQ;wl z(b@TsTsWOv45jbYu6L)<-wM_$5xWISjXJUq_D#qNO~Fx{#u z2^CgcX}x}`BH}M?n?@T%C)mWy`vIeR+PfNTHri?@Z-5KYXrd?pL}MoIxva|B;`?=V z&A6uz9WD&>#1+pvZ}4E(I4LG05CTHw90`Po1TTCB5N5}Ru#9SIkPSa3)Zu4QclY;= z#uE!8y+{3}C*|%p9T51*v%8$IUr_3?C8mnjicv@njc`{?O-)l*yShg0UFPRgnT=t8 zotW;v( zZF4D!<*^c}d_%zNy6Lc~Jez5uE;Znsd|i_<<%k3#em;T=h}>Yw+Mo9F^M-W>-ZaS( z=ZG(WXIuAMX(P5(I4_aL;rRYo7PaN!UY<3%Sna}O_%R7G218z9KUJ7%>hC8vHp7lw z^VNG00N$T}{lN4O`ZIf#t%J|6kgYA+7igEWvirsC&d!q+c8h?V`ATNnN4q4%#X`97 zyc&-qXw9Z(Z3fB-{16_-s!gGOS`}FC54x-XI zeJz;|Uv$liT&0~h184ibgEBbo;+^;a zAO~sSf`a-va`j`fugiu;Mn_8uz``R{`e$FA3o_7e>m_s-7Z;H7>{K1S=l5$RjG)_F zCvpmkquZ49bSc;S@S_BUbl2^Wq&2 z09zoKE#ULdtpQqgt=0KsQfpTzk-mD9N#jkMWB>!XUaa+D7owD=AFj1==***tgp~0G z=TZ0f_xlmUqC$cpARzqvj2-}RDBa`Zi09|$sRFiyYtbOPw}0+pxIst3?a1saE!tfs z=J^}J$9+5wd(V=RB**cjDRYUN>SUdc|1ue+gG|Je(`iS)lMt zC;N{Ytgeiw2(2?Yrb+^Lowe?_mMe!ST($W;a+mC#PYr7c)U1b9HJ_Z<&6n-p&*x|o z5F_1huJT9uWuNs%)(G%SCwi-5QGe;SVO1j&_Rl1JLGqA2#=mlDoVRnf|Cv$#X;nLO zbK4pvE1t}UC?eWTkgz>25NM{I;Q@Ss9&c=IW^5)xn^eZv*wrO4KauLMArg|;lue|` z@dHsBVa|C02~6}m&^Y@&b=mYborPEu7=HuMY2HTQ7=<7zzWOyi5NK?FODR0XRVy|F zC`fj;^le459k(N&W5@uEX40>fF!HQ~KALU|&UA{So56i&pJ`$vlZ(<;L$`QnEr90$ zf8$PV7KSU}!&|0SE%)9C1PrE@JRXsl!Qr(wIMWEbsZw@8V4(AP@uF~M$AUHqLKvy+ z$@~B?cJ>};n&i68ekf*>`qzG7(Dg{`9e}F=q|M-Osq&>x@yBV1+p4E}tgP+mPygSQ z(}Tru!AP{~+~=CitR`3?u!R&}U^zv-=tbd|?!3P?YQW$Qrgr+$SUDRlG3Td#Stzv8 z^E0QR{Wi8W3-r#F#sQO_`f(wmurME)k-tb~`2TaV2oACidmj@1!KmHj|cKl8ins1i+k{)6i7klj8$+>tdhH$ZkBF z0WY zj6{XTZC;GnuOljI*$BeRJI-wjyvlkd*r;69peIHkPou+w@*w3;@~>0;;3_Ai*x-kod^0ka`+7o5eH_Njea#La4qnC@UXmUCr~MlUXrcs$9u z*ska6qIrKRc6yg3d}8jtGisqi`d{q~<$J%}BjPUoB$wpmKL1z?RetbyC3`_!0JC7U}5?Ae=%k=$9wwqh;3KpZw<423W08c^M zgYry5>Lnhm_FJzVZ(&gp>-_g3YWS8GVPJ1R)?W%AF*Z7>@+6U%LG?}8koM;j6f0{X zMo_^nTdQ1nUTj)YA9aj!JwLDL_u(mQlCSiE_SRCC+-LZ+#bh#>^f#p3nntJtC_+N8 z_cwvIJA-zP4lK=Y<&OOqYb`i%wv)5I^0sFp92DaJn3M6Z{0uJ#O@Cj$^cb`B50`Fl z^(^vxzOb+RJVVC8(M2fZkkbrQWG@)?%|qPs!+7G+uWKoCaxM3D8A&^tui#f|eHF`G zR>2wK~5ls%{HQ+a8P!EY5x3=Tl-#o6N3#3s@_WBe|*k`3hwX&d*Jc!}ozSM{y z-4-?3IB5<6Jbup$LIQF_E2{{!z7V790!b(D+%}i3*Bqr$j36a51XE|NOShVa2E)bSV{1p7W}g#gvcC8f4D&0|~$wDMI}upS##SpSyjMA=7*pz$yD zHoLx%kd+ih=~)e4WVSvtKi{-*Ag~YtwK~EK!AlQ|m(bd}GA=Py=6%ojAoX{&io&r` zor9zO{UiavL6S)tb7t}ROb!eFZ4k#Eyuj?B-CXW-Ty)mw5q_{0QLyV?Kul2d^3tmz zN8jiL$NZv_(*zd)(KQJ*CQf@I%k_@*flnlXjS|4yoJ9a3&g1^jpMb~3Z)nHhEdZ(+ zI0h(RwVDw^~L_O8w?f_e6Zv7-xF*88pcB7Uonow9|sPv$=?%w@LEy6z?tNt zP#@JBo4fBFp72$j0E9%Uhh9}QchZ;gQy!-y^lc?$A;dy|hanX(AWu;8Ma<3qT-J7N zZyZ$PMi-yI7Hv=9Ek$YoNgJCQjGS)jMEZmxm2dm{(?FMo44fq2;P1Sy`9&4 zO)G4`|GDur2EGBD$#B&c7_AEskz4M+uVLDv@WQFyTb)2Go|ccNPE#MlcxJ^A&hRvA6O^Na zR*QtzOPjgW!Y?eyCL840LDgt^BVp=>S;)Z1F`5p;{bGuyuGC znoO_Ndv^lk4)Dd((+cxvUv2*1-sMA~2&ZpPs?!GRj{Zc2`U$%@-e59Sf}C8pi$=Y3 zd}0nQpOQf=NE7U`WC>H(xy=9=v3_s4Kc$rbx#jjvNDPZXC?`IJ=f7;lSrR4HWv%x< zj7ZnjrIpseZ}Y$uuhJIM<>zVqlA&C&36E_CE)3aEHX1uu-xjCzw@!Yr3E$J5Si6 z3_1D~u&LjB%M82Lh2$B1-k)W}qvBO}mA!*|k0(BMkO)w^(bU8D;}o#Uw`JX&gKK?B zaY2;(&O+~uaj~J^H__`Z4$i&5Mg;QRGuh2m+rDc4wGENAY9xDe3>bkPWGmItGTG?g z8?y(9msrZ>p_+lY2#&*dI0palEX>%<%)rE54DJ#dGP3$%PqkV_QT6Mmp!vcQj=g^z zOh_@hG~{e-7(h+6b9NS$kbu=}H22TRAx_Q6FaiL4WP`!RU_aC3+22~DxO#8^7TRC; z!$snAp?|fSH^v`xarZkFNw2J|w5IGkTQOg($yGhmA6>YAx-kB#b}co^^am})Wo!v+h(_+rlz|e?i0>SVhSl3TT@);$sAU#dgSh|af3w; z85vov;Q;({TF;&Xv*|ca$HeY;7yul2+|e50Vhorm{!bEU^Xt7`nf6wfd}O=@6Xla0 zj88c`C~dyDjMsxxKV5WwA2*KmE}Cd(mIchKGm6s=;P~ggs1+ zv9pika#T{BooQb~9oJ|Eo6-|yos0^L>Wf#&EqRr-U2T1dRB0h64=a8b%hkQ<#NjmL zC*+IL|M&K&K~6cP8OFdjv~%4M;(-uZTi+-Kbjmm{y+%ee2IDxq(bTac%HaJ#ZmNl; zY$Ay;|JLGAr>1*=8#XOrSZjz_pB$bP(=?@Y2zs6pD?k7;_4Lg8qa@{J;fsE{;HF?u z5{~C|y+S6-k7;!PZj#yb8ZcSK3=Q1E1sWLHsBAw+NorjGCmz~lK411ECNV?h2(;C( ztsFj2r}ZjKq8k|)_|N2vL&QP_A}Xt6i4!du{`O{&ZHQW$FW$aYvQ{Wpq~Kg$X1V8! z3J^pCY>z$(=$O< zSE#Dm&vj!~O7!^t_6>FeE%ToEq(*ktTl8+^`$jj+C#*m*2By5k;6QRo?KY=`$$M}R zQb$9*ND`}$9VfnEser4CeQ=UW59hhFu@GvMI=PtgHzDXOlv*PDi~GKSYYKAqs^##W z9x_zCn|1OOaND)!+He$B1{%0EN?Bn=OIna1T^unh6^tRoL(emyyh@NuNsAVn84kS9 z=jkZ?NIAIzMoYX68#L$3Ti0n9d-m@$vD<^!?@^XJsXdE#SSA zYv7{ae>)yNzNu{5w`is)CGJ=rl_`LrqRZL&Wf3Xy@P-MFfakmE0GFDUX7JoEWam-` zLzA?fGN5(jM+|81s;Vq_@^o0UWBiijIGQTLS@y{oJE$zBM}E!?Dhd$RBV^pe}j@|_-Z zpB*Oo`fRXTXM*?|BP}JYt=RK<^j%E6Z*mYCoS(>x5M_UVUu?#=h0JGT>*lwT@$RE2 z$S-*UPycZ<%Y3zjvYocI@6R9bdDY}iJ5CR{;M%5op?XSZd#`ue)Qq&rU-2L!BCn0o zPxqMu)%N!ff9J~Wx1XK8Hdm`BjP zbX)zTqZy9XH!%tGljD!v`9{j@qx(DP9O3!yJaY5g=kcI>34PAidNkg)ciPC!=Hzb( zN>N25&8@{oiYcBB5w{Y~sD@!X-d97qFFfYc#HViuM1UD+ddU!rPQ82CQ+MUy55|f* z(KDO(vs2~^4SP*}Z3DGzQ%3~+n7jrK5h*>u0Dou2q9m|PgVGN$cM z2_)m#GgD2KQJ8deZhB3H60!*sZ_&Wmc8ZwpEH9neIn~g&>Qh)M-vkKix9>S8YJ7F3 zO-I26&;1iG$!rfrd64)#yqVSrgih&Jqphx@iviEaQQ4036(`jhO!6fst_?3nyHc?EMT(($F zHREYTCCTPZ4+U)g(zbR$_eGan{|)xcBP!KcwDZw2gm%~6Pr^XUz*fZH02|80$|@4m z-T3G|p$90au@VwLb(*8*_3Bx$T-K~dOl8*Fqxw2Upn4j?!H9gVwf#CfxO)KBtLdC~ z;L^UUlvl|FEj$nPjTF2*rKvpR04WJY<9MMmsy2Ph5prC z7gdrXU}-=G3>B$|>XAZAh9gCcfB?qasV6{(fMgQ+APUbu7Qtc51eiDw z;Sj&Am8lq*Sip@{FKB3fM-I)ShL^@-5Lb2+@*|)ju|Gb<)#i1?^^6Y5J8EKirx3DJ z$aiu6h0+Eoh{cA1Nr)s)1p^RwxlBZi*&QsWP)SA(i7*3+ew&;6gN?<-RP$9jR^%4p zC_<>I%tpbr1NsC58f1_{-D6{1C^D%3=LL{Hvu|A&=TK7vcn4B4k>t+;+?s8nW;!%d zJ^{ov2Cp7_v%iH&<2D0(D;|57i>bFip%Y`k@MLoWYvn$2jQPra;$HJSHeQEP)mgLkrw=z6@u zs%taNNeqA5-!6e@-IjoohYMVPuy8g)PSmpucF`%9Gt|=q7;G4rd}La{WVCDqP*l=X z9Qk3cHo>dmlQhUf_%~+J-MjV>#5KD+%M(MehkS9!9xe7SG>Wq_jw+w&jJ0--=~l%U^HAdHc4mrqSoBfDnzCn38U zyL0OKQ8G#N>>Z`)`ggWL>#Z#RGaPS#lx()!Bjj_OU7Ld|PnI!}MK)4W_4+i3^Iv

*LeY)^dXt$ZyubAeG4g9G`$dBO&+qy~y() zDx-#>ND>jd+hdjX(CB#_wiUB`Yq!?cJhPYk$4(_Gwo)aSd1%CRS=lkcvHd$Vf*Z6J zci{?cUZ}NyTEOrO9Xw({-epGm>WPg}wtnm1{I=+fNVK{}Tz8ZJJy*UHl0$sT?+D%U z`JZ(Lz}6N8!pxKzhD?1Gky_fvqh#=?>GF5Pw0Q6tGDChnSLy>EW$z_&UNwyLqp}71VW1; zDOPKbKuC*F>JOLb9bUcPwpiI6-C}VrTX8_Er1+~w^M0~%inI><&3a&KaDHn57|_^5 ztp|6XD~Av}{+ZmzI04%y{JysckS=cAT)7vCOZ;U@$9#tj#B;cO?=aX7j)q|?q|-Nu z3lHd-S4O=*GX*UihDPgTj2tKe@3zR?k4=F z6CDPfGyy}%9|E35_U+k884-XZY$$suCSP~1EOok?2>S7*Z(fQYt^5{xXqbe8Jg+z3 zz{UuQKO3bqQP@S59ca*h_IizHwxYhsp9dt=e*)!5>x=)ZWyTkZ+nwsI1`@z zy;4l&!`0yFLO`82=rGD%#5z~`%RybteI8b;=hG-e+(NY;wu93Zkla9roRwAO0+-YK z2Kbp&=Gl{`+G&xGmsM8S4cl}ZpB#sfWwQARuCA_}K6e1#rYM_?tSsGA3EOybG+bQC zY99Kbo*pm&78&4|m;cBxG_dPEnp>r; zq~fS*80ZF=o$oB!P8U#oGx?(;Pp$Kdc$0ZTcF!nWktvET-`8gb?I{k%pR_a?bNhp> zt(lFkQ5zF9?4z#)_=HPs6(r3V!0b$F0XBJY2yYWv1uj~111R#sgtay94^rxH5 z9_@Jpg~y#W*l77t==Zq8P#6E^jT>jJ2hhS*SH~Y~#Q~nV@wH~OsON{FU(zdfWn)FyD0s{c| z0KH-F2|)HAzCSx;wZh`3OpbCsm5lF?P-8Zqv&YHzb#$p4x(y4&9V#+2o*kpK=iFcX z?ZHlfqaJ;vAIaR_c}y23V{JIh9MsO+c-s4(7p1G+Y4Hb=F-xHM9UKAz*MZhVwZl0wBmflI+J{YPz+SPkJn@NTw$Z=JOzc zW)R)oA$vq64892DnZ36kfM?+B^!;jtJ7H8@mAd-}Yrx>7-944xjp@|JTF_3}MvKc8 z(6azcGh;SS*WW*YYZJC1rF-snw@Dm*s^O1plhFrI1<}Zjx9U=Hb9fKL#!D_8^sf04 zYi87+m8+v2@i_8CU!Q~I3PwgJ2F`)?AvS-=E1nOCjE&9kRI&rxUUGdhEpP9~LUAh8 zUpUD65-Af|r`yf4gnUUQ+n?tf!B!|!TW{qju<*!!g2V`mjt_Qy z(cT$bC6`%TuEznAon`>sz%u6a9tnjaZHX-)d0^{J$ zLX-XZyglUoW%0|(0@}=@krK7{J8*V`U(P1TuFJIAhX5_gM@VF*T@H^fz3DHxb%R5s zbPF^NXm3)Ai@ul}NZJplU?zQphf!6;;173-+~3-GDPuv!#l`9M&O-wOLAAQM_}=T- z&esX#VUh_{`EgB6a=w81E<}Oac=(IFXa&;fn1k}=rGn&ZS!opLutC>m%Z}5|!6Bf& zo)sYNaeU?E7 zBuiGU;hBP!|13Z!RU3XjFEw@3V%7^0davhd;+^;gTZt~g0lT%}0T%tHxs_H) zJ?9sW6hdX6@59{2h=BSZ)VGIzd6DB|(GQf?xXXQB^z~mu0|^;Nbo3vby7!15Q}*jA z5rEnME@j*{Qfz<&NKeu8G^Q^AY5%eMXfKHMWWmUOGUdW4NNY7_QYl!43f>b6j6vBZQU9DsGmm34D@$rJ|s#6-JZIZlcv+5*J@mXrEl16Q`5skYM);2M4aX27qJX&L&?#9 zT5m+pL|}`U_xof`9c;x!ArPZp9(iZHasF(owGaA5A;JY=W5S4HY;pj|Z9#8JUOqtm zq?%ft_J|ji1R8E~8qw32soTb)y$=koIrjxuku8t}B^3AV)m%(467b~s=)H8In}o$l zkmsnMPOb5-P8V1hdGMU?nC%IRb-3E48e!|pR#$O02d&miV|4UB8%8RcV@q91FmZjYN_MwChaE|%xY7h4>u$aH=vD`QM%@~E9Y z!vmhQ2BNFX%*|)4MMc63OjYuxhWusU09l!RQ**1#teW+9c=+e=d(4S22@iP@STGHw5tyVm81HU z6MZi+W+Ngbx4NFKp`7`&_m6&lN|C3zgiLJ|7rtC6(Mm}lkZWD?=|8byko89%uYkrs z-&cu4`uX2ln|i%#wd7=COjwkNZkCG>Grn9;Ln%)Td10g=u5%hJl8|2v3WLp3073?P zu1bDD1saxiRrp$Rd{#6~xvG$GJah}khadV0flp3G?nzhx1+qt|+!oK^ig5?+=@B+- zeL3X9!-Wp^TXHO?>k-4r^`YSdF2vK#z4^nBifpb=0oC6AEoo`XImLk~3|oM4Di|w4 zD8dv82Uj|%*Gne7p>Eoq8UV@O?|OsYZn$WH$59?1q?X&?(+}Ne#;V(C(ETHArr?&% zs;Hx_3&Sku7U7=RDFAmf9_r5N@z1>z>^^~#gvqH=L*F-&`@rD0c70N;V#wE))@#`) zqJRLqn<)W%gIUT&-%Qv(W)3x;nF|YL40a-ZYv8enT&+V0ru@jnSs4|Q9etPzu=Ss4 zn>PS>=Mv3)cx~;>E!`fZdf&8Y6D#bVOqil_4h#L&1SbFbf8jv zC1gYovwQwa)9(3zoWWr``0)C?)fGBm>q}fxhLyyXGPSEVCJLM+DL)AmUL%3v znXN}(`43|52b_??au-tCXFjr$?XI6GZ9G2NY#;eH`*N&Y3eIC?mBjD3cfR%roK%L| zA~S)ex4ijO1$Vu#sU!b;`!?ftnQ~8u;n+l?Yv?6NhI#|B)f3b-({SwYj3b-B(^8d5{R` zMXC~n%tVt#4fTzJYiD8KY)=8fm$iZFV>{RG^?KU54zH7Y8QAn@fc zbwZFWS-Gl~>W8McOD|_@^xahGU{l+?&cGOSI;yYS;v^y)GVYJHV-!+jBGlMY#)7Sj z{I)~9WYfy1!&}A`H2?=YIaMLB+@rafYo|KUcN&-9$)A|BM6&}vAK3(torW21X=&-! zr32bI+!gH6k}*S0O_3V#p9HNfgn0vI>h9Z~!0$Z+q7-DS&)zRGEYl6ti5Gl1I_!eZ zdoro~&BK`**977loc`IXVQkT!Mmna7an23Ub&v)NDJe)m%*&jZG-R8rt zOr}ExDC(1wgGuFTR}bfFw^!i)AeC~}IW2dSyJbu2@mpYZ^W*K&r!Nb?;^PCfgJKM? zmuUVIBv+P}O6lH}{$>XT(lw~RdfX`#N@2Fr0jk&2&B2bN7w`4W4KAaMd-xKt{2}wI zXK8*Ot5UPHh;ZSr*tN?awGL|%^stW(=$^yM$|}kR_*1ULhl`7w%4vbVv&{QNwSR_8 z9A1Y-^8XV%@@`jRz11yj$Qn=R&+Cop+-3Lp0Q%I(I_qL1hGJ)^Z!|vbm>uv3b7b=} z$16i6@>Dqib9Q^UTZG5Ni{WH1((vR+P((dMFw${!R}*7zV7YIu^ic1ef_rj!BXt&4 zvIOxwQ!JGvI%!<$I{W_TA%l~71Hci@tD}SaB8m?8gWuZ{6<1~iP46?nYJE---oA0e znQP;atJ1Axk^Xx8>M0U7OnY>sfx~S|vePF)ArJVgIwnd=Z=?~5czs|H1%ekE<-8Yv zn3%|rq^J?O7+5sU$PTP?e3fa4k`Bxcm;LefM0L-gJ3fpBJ3PqqU6X-8MH^86R9%n( zDkU~GF&L;Yu~N7Si8edW&Sj-K!QTjwP8M=(0Aob}2lKc|2;fSRff*egWv@K2ehWo& zdwke1pR36owdFuGj`#!#v%yv+ZQB(Y+S8Md9haFfG@JvNtgf%Gfn~U3=1QGVF<&*L z+SU&C_Jcbjuy-!6_in|lx#aWn5R+fUKP9!V*4{3JY09IAy`shd>l>z50RFCuA==K- zS@G4;-Z;_a?zBmj1i;3@cfini_O(?yQ^%&3EUUvDq?Y?0i+E{zf~`iLT{ z?OG!ek$_MCbgszvw#HME6bbUhb`u1b)5RXnuJSH{oqWQTy`(uSr7Sd+U!lUz)KjYQ z3w9k@jRAY||-d$dH18Eo0&i+3m&jon+A6t<-gTj`m#fm2Ksd(nyq!f$OhyRE^ zl0rp~#*bqqvWJvPv!`|p47+@WG2xlTX{;7`poW@iOLq67O#prupkhh&3`S67`#ayq z?X)%E9%~v^b>yHxf?$$*^$sAGp}A@QwQgpPg=79B+6)rZu>RE78;|AhE6oNr+5$}k z;L>SG#8}eASXPZ_Z~=jqDzwMii~x<=+ej{HxX`|A%bO0T7=-OCHP7m5YsQqkmF`^^E@gvChv3=$K*$@D>>v#M2X$1_*$_233Wb zu&F=rG6J&83aFRe4Qp{Q;FDDpsFVQYMtOHp&9d%JL=;oxd{Tx#g$0-@t{Z%JRtI2$A%QkR9sk8j85QZfT4@vzxO>z=LbRL>UUzT^vd3F?r+2>KAM!WB=h zcE6DYnZ*IRn_3m0eq`JJ6pnw(Y)E;BX|4j~h3e}Sw^&ir!VkWlgGXaGTA4fpX?CSt zgTQnr0Sb(LqrOH6_22r4YrcC25q3w%5FKxBM~iKRCV5sPQxL z;l1T(!iB{=C}*qe?DNjTvG^x8cTYnTca>w&(XpqrdpRaL0BM~BE6jf1*k5;Xc_}BT zdVE1RUeQ|TfvQTU)qgS7H8zw2w#^44sr>(8?k&TrYP+^k>>@0rK}1TB?nadEZWIKh zyHiC_B$RHDZjf$J1SF)p7D$71FX|i9`?=re-M{wU|2_^66R%ZFA==Q3{DQV8v2TrXC+4}(D+*~ z;%$hc^XU#{M4pyU9UP7|Z4E^XAGb3YdlsNfq1#od)5~uw3I9S*t(%i}l{-O85J?JF zTOq6QO~-lZFALnzFwhaj?8*r4>T+qTQWhLz0gV^?>!=i$?GPv1#F?4T;VMj8r4iph zzWY_y9eM089m58NsEI8(8`eDfEL2pNVPFy6mNpI!j*pK|=1E>5N3U`1D3b7u;OUqG z>SGa7=^vJrsd#t@#ezu;`oHQQ+VVUXBY-X^H@A@_Ij#RRD~c+hEtWl^9w6mJ(5;B+ zG8fhBR#Smr%{X)ksSS$pPc31q`S9_={iFNG(3VTsMXqVicMh^HXfL?pwUI zqE^emt{-O003Qj7+9nTAeo6Q*d3RayZ*N-)7A=g8-FWiofghHTftH*e%}DB_BpN$U zN%7lpPl~E`FwOl?L&uk3e((pMAN~$rGqKGM&yBST`4m(g892;&g-{fbxjN({3 z_<)=pcS%FTd6#|FRa^f-v)5Uz=-~wq5Awo7q5L;*+vJ5`P&)qD*KfIH)s{O^jYot{ zECd~kJ9QKFC%(ex&JlK*C>K*v&@?NwVEUyC&8|2NJ7p$Wkzd6w%a6SRTI}<5fRYt5 z9MB!boD?j0d1q5iEB)z{*E{DC#7(&45w;x@Z`mJ4Yr<~0od&a4O3rRn|tVY1) ze0Q*p`l!WD(ergW=zoQ}P-#Z)mnJ43{BTGcS|#kdzwjU)MBlI|Ni;Wi#nuKn4Ms4< zgHMe2QhYP0Mfcb8Hsj9eRApXlT69ybq_?gijL5}ITh~B+u`Bd!lJ3vfAV|EU*qw7` zKgv;7UM@T&E3k72NL0v79~FdvW>=(2sovpLezPQ$(ugU-f2kSfY+1 zUx-~q9}&`5{DyF~V*mH0ttR~+lvEG&9)7Q*lxkSW!fDvu-1CKqW76YPdYyGP;B0c@ zWW#O3)cI7BBSrTC`B!@tnuz@Ck9YX+sIQc4TYUG&Y$`p%v=N*M4Yip*^>8)ceaLdV zcC5U`$Mb|O;SQX+aQiNW!c|w6dl$cb3){S4z5K^vcGh%|8NBdNW6SQbh=_Z@L5-Am zE^Ke;6a$rWZ zSyspBCGE(Z%#KzZmv+(+bS6`pd4?Xoyc4Ptw6N)1=u~*b)2iTaVz4mP%dJtEoJL7j zo~ZXaw3q^;;a4M;fQ9Do*&Zg0hE9v>>Ao`DWzOu6E&GWq%d6dK{3Lgw01avzNr==e z(on1ho>2j)2u7h&LKP@r3?RD_lv3O=JUW)F)53u^Nz&hG^5j!Br2N-y5_Ln*miiTwzM&8%%JX;ag*~iq>Ms zQ)28Z!rv}=-Yk$zIM|tHC6O<-TR~+i=G}gzmK8v86g)j&`UWFk;f~l{f*KXskrarH zg`j#k5lA?Dd$#11l+TfoYO~xN931ME`tL?Z$ju|wZcFcu680D1FfuaMoW&6G@n|05 zkiOgGpz=LMjgAsN)+&3c=@c!MqOOC6f@9I!q!4(x;@0)%<==z65{jOK-XcBix zNu6k^Sl6Rr+PXVig$}Z2Usb7|DGZmI;Wd5}3wd}Mhah<~F8}oODpokw!;%54vcGK* zchgYmlYX>{qetE$0#d#aYPXbJgYhDJ`y&@VHf2JOMbTZwjj^j2|E38bSmAG(7$M*| ze~!iO`e0na)bC^`jnXgUHfj7&i~!9$zI>4d{0);L3%9yQu7ENyF}|drASu`H{z&|W z#`+=Dk@9&k#KQS!=u6;n_p6sXHEO;}nvxdqIwWnD)$oV3C6ddBw59$8YM9hDOd!J{ z2YAqaMWxS8>6_l?#HFQD%3UtL7Shw}-`G-gt0@)25OZ^zrMj0Yl&@3CvSMrU{Vwrl zy7aC;F0}t*6fSj>Uo14o`#3Bw2M~$=Kq*p>>)Ggw{|^;``2rshOAWjSxyU zo-N49+`?RWZ-Cj`qr1AAOtrt@!^Thi_djme1iTmayFVbrM0bvCI~`}pB%1h8efCe& z*w3FGgRkhgct;G-KHn(oU_k0_mte)0lDk&WdU=p&cK~dbZ_~R6jn6Rq4qqB5bR23 z)(d*0SDI{Q-bB)zKl6i*pFE@+sqT&m28|`+sn87w-(^uDob_m7j-r^|77ghnzW;BNlKTX_09uR=PN1ts~F1J zLs&qHVcc)OIkPtJGa!||WVrOuD-F{HDu&z7PKjI&vpczvI+9?rTNyA>AD`p>lSxNx zo{qhjeYdQZk%XUiTHW5{N4#Or9h#!M=*RHlxEem~DlampM8S;x*mJLR>+8P!Fnl*Y z?hf_ueZ%@;1kyIg*!aen1yb?mI>s8rFyCbKonezGChQ|g(4$v1=qUbz$ zF1ogSX-arDyOrqyxkOwI4BQKb(E~8%Wl2dIgN1kf$7_|V*I!+Lw&rk-`P;?sFBE75NxHQ=`{o%TnK$A^~MRbarcO znoRi0INwKo?0{zTk({9eUoJlOW8qji!4Z*iPP!wvu>rHwsC9oLFP7(qL*r-|GtjQ)=ANBO}8k_nL=?3SAvSmksRG zl8rC@;jO%(lCAQl!N1Zxtg@2Z+&p*FqCI`M#EyNYI-V~nJ#$-DhhH&)a$Zoat};Duz{nH$UaXVwpi@?Mr{gLw)~)yH z?iLq??=#)UfZ;{J9w9v-Fb-@gn<_l23>uu$|uI6=I8-DHM zbFp+wHB0dl*7A^XZhP*vze7bne(&s*T`8ludVVsH@WsX_@>c^zlq+VE>1k=-+S(*D z+_DZZm$UyfX&?iYKI~_bT(WnL(jx-%aRJZHF6q!Nv>aoOL`M4Pu8vNBuXV%Bm}#4+ zR;brx7kw_R>nTw8((pxRb6~(WiG>B$?}vl$D*JqAHoi(-4fa<#%u5ZTJG?CkO#oVC z6Gc{csba}Lcirm zV>TZ?3_EY!k9cG#p0l>}0a6f{4|2*N$QIfuWppf5i?2*TQ<4l0Mp!%bc}8P9%)R1~ z)y=0&lw=nQSzUuE5aQp272VfWvY6>* zDN_)G(mIBT`mVzLh(F`kwCL!3Ya>6$2SPN?2L!YNyVna-79GK22p!^|wEX6dfB@1dDA9STKFbX66|K!wYpYC(FjM$Rs07<;6A zevQ-&)6=2W&FjBn`kzGx`#ArukHw+2%`*q?r1v^bZ}rXRr|-80L-q8UplfRd*@-J& z?JQ$rSEKiOwfz-Z|(>Y{#t+2u)1H zsmCVSfYZ>SU05^q>tC~>e3tf;6qe2&4xm{dbes*+R#K_gIyj^{Ecm>0*)`DY}Hn8f8v`LNc zmO#=g%n4D-w31e>AWSD59JE)KvLuSJ>4?hX;M3Rmun1ox5x?ICPtK>%lL|L9_1sDf z3BkaKHR@`HwiSG-Kq$d|vGn6Z6!+7U4$fkuU;S+<50si4A2>(>jb?jng_O%-B)zC5 zoJ!`uOQ-vCB*rD32BZ}?fLt4XU z92~^yZL2R^7iPW<=nxkBxTE7bto`jOFS=eVYw}Szk+03BPRXlsG<_Ezi^tMd>99`# zhw{DU-B0XW@ES_FaJt{lm8)JJYsn~M3#~P4CyBMZIKj!1M*^oS4=3W|h3<(Ae@`yT z^nT<0_Iri*1+GU7^bB0fH{SbKc&FSS<66#Sy?>vfaXw&d8#9@P=Xxf+|M>?=SKt4+ zxrcw>jc3XAY)T?_c{$ga}!$I%t9B!s@qFb2bLC5BIHJvOPy`%1JO@gDMVa6-ii%w1` z3zq;zmj`jOzhb!*-lBJCS=W{)3mjB5j#NSnt7;6FXShEK?M$0h{gO#cb}#AiQkq!c zGhHUW{3s*)B))yUR*iRWy*!tZilx`i>2THS;H`jmX&c+4^hV2}BgVQ+L2XA3p;5Qe zrjZiVWx>PL(_-`JrSlo~>4KW_&QzP#NAK{K$H=_cYDw=AW^2qen;bN}9+E1LZ6G5U~J;u1q-TJ2<pWQtAr5AL!IqXxsk|k1xXEQN*Tqo z_B^wNey!7mv3v0^@E_4wo9tBJ@dwKXncYm$<6wAXSJJnI##21>2nab_Zy%OD$s+$X z)46}FH)7C{l}qnXzrtXFsxI%}ZFwr%wq(8dqct@BaDl@t{nvV(*0MM=?#V<_zH)uh z^407s6irF8c0BP_r@>zRJCVAI3JRYE&W`OIRt9B4O25jJHZqmC?wT4J8A*oZS8cVK z3ewJW9hg12-}ZCNKb&qLYdbn%Ta3)*X)ynudZ2|?h`_`+gO~i6-WxKR3HzT!G4s&Rh+E>lY+&HJ`E1QHwKkxRb=JLv1UXF3F z?D9xTXxES=T|vnA?@!vb#T?9TlH{qK9vfphAG~P4iEg^a9KyDmS1w)f?ij^{mYei& z3jDDorLLa2Mm(zLguO~ui0}W-k9TJx+bgpEITlyB25T*sQ9$$Y$vRJXv`J;dZ>hJ7 zudwPjn{DstdkbBEN>)cTHoimKCPq|iek!n_ptQgwe-c8--n-L6+LsqBm=EN8pBXSC z8}nXgX0E?X%FV1%b!k*T8U&5__M$k}hrf^n?!lQ`jtO?#BFjaTR6K9#Kw4yp+S3mT1J`eS+!^2`;)iSX?=P?I{@$$5thwCN z6LZwBv@B>8AZuuN=)PlOBpbA}&;P@ykNa%sUgoc0+4I?VB$zX|Evr{KYEL?Od0clg zBfL&4MT1H6qN3Vxvef0}le!`p!XG{p6*Zmx`S}!kfZD4`@6LG@(OngbY@)O*nZGh% zI>ww-*7UKMGgFT2q{KMbsAfAz*4X&yk8;G_HS5I?$5l3~-iJJ4o_D3G^Or+WPOI5s z>lGr!rwd+>!k$hSjt!*g@YbSdLre2dha!0#jn7U^Bf?U9Ks`Ogf-;km8rbOT?dSFV z`=;gf8+~1;zxdgUtZ#{ZJb(W2O^<^ZQ@g$l8Zry}q~%lV5yKcZ_lg9qLLutnBIO;g zVD$~kA4W>bPknrK-SX1;(XX&XH3TWyO;ao7_|tB6@uf_dm_$6?4S6E+5FXSFa z%avEia=+1>7)7&c~2lQqnOSeJBAL64w`^O_s^;{V@x=4Kn4ubOyhs%*(~3er2ppy#T|0 z8s@fKNLkq)KApz)8!a=>QcHAx5?Nx_!hD(LnRwC#jBG6+tR0Rl%4tD;>W{ZRa#&4j zr|te3DHelDi%$=C*N5crbe&%W9#{ zbQex;ndW6th%VOFpUA9gl`3jW2LKMg^F1DkQQk#yfTPv zUk1#_*-B0 zVzJh-)@TVro33f|Td(9v1_i4%4y$v2_pCPNhIhb?W$#l)E|yX!_S4DneW{4T-;=rN zwzXEh+f!mvRiVR6$zh&3oJrGldj0FjUA#Lf_gY)4R;pHZP|>Us@3R_XIAsRyl*p77 zpNKqr=G$&r9wc`2_U&Zr43W)1!dJa_8tHbN&HAl4ch>R>7CHyI>pUEEx926_f80J! z_w)5}_GE>*&G~c1#-TSaguVT&FV7f2%CFfT$v8AkAy#5N{RG*@-WBztmmgrHc|SBV z$RzNMoC!yKBikJE5eip$;$EYz>(nHvsI06U*d$NS$EPhJAtA7!CiXV9tUs`*KccIF zIm!JseM)ww#pZXf%ezY{D5s@l#`+^!Iu7&hBRbW^SFTkLm-1KgmDZ&gde*D$Ux*v@ zO8^e3B-U^F4<2v4RW%<@N<(?(Se)%&OS3OJMcd!U1?LX5@6}B(&#Uaj|zHr5~ z$rlTK^8QvxYJDJSUUhzT(8+sET14?){YUX~miZPG`T!$Y8BB&`a~3*!B6O;E=A2MV z>u0CsdnDWsB+x4-`zxdE3>2G!LWEDnR;*IQ%-Vi_MjLG#@s~e;9g(j?ClSMAn+jTL zk!R&Mw)#R+fV!@29S6thfH`K_2{v1EznO@~diH(Yc%iVt>8X=poIqZG*xeJmW9O4P zvmwn|!M7TP1Eu7g`vbUg_5ucm z(8hJFYoFh8XvOQ}+z4&7R8xQTDoNy={1uykbJ;y zt9Qz`k*Y!&A`dQ$n1@*op;YIBE@NO^d|R>jid|Oxsy+V3bj|!Phl#mJsgMVajTeZq zj;FKpbsYF8L;!rQ+tXky-w$FI8u)w{Zo%7i^$WQO+w7EHh&|0Z>k z)50VE_saoWg89GSVPIt1iTj`XUq29v7g7B8YJY#cOdO*BzkZJ)zwilp`v3Xz=AowV zK6g>k)wRl;LksR2`D*y>EGpW)rxBcZb#i$5dZ)%eFORErjlXNRQ1~M5`FXhX+c%p} zSnxh6D80!$Roc&4LyM7K8!f8#wBBe|RkQ9qk0DPu>h_IpcrWk=oVN3=OmHNUi>N;R zO!DL!%QwdWT2UQgotLbbjaTh&veS~23ok7#y~alF&6pOT3NpG0vYM@(n)^2xGQW0? zaSEO;9->wqW6R9^v&?=q`BbgOIt=pQneQf6>2c^C6{<7sYSac7f4i&2w9QbiKiM~V zq?;UY4x|3s-l?pI*?RbZ=Z!KCgAZAxe-hiSH=ocRPG%rNo$IQZTO%OaddBOtBo5v( zssJ^6C^#Isy^hu=gyRpRD|D`FaAV$j_Ca}qDqa);*I@cNDB zDASM6A6GwLULoI*l&XqsTQ`vRI-kQqY~X)MM0;0317&rfR_o^8dj|}VmSyEL$Y|dH zF^0uY9v)VASnU4R|H65vN9=+t`R07ARawUkd+E$E$-zpYA@+4N*`l-Q4ZW7Y=S#(C zp3cis=HEKhDpfASU3@YX^P=wFyeP@Ecl3riee{8PJ3|!O^(vpc;A<74Am*kw z+Y4LGTL9*|Xbb+G70dL8Ncf*MbQXK4KX#D+|nmMH!H@R%l-FEP*lBdS8|6n~}M zTd=1E!`uJbHT!?$?LU8e*Z)=6|M}Vf6U6`R6SS z<#(uMGcz-PvXYRI6~NRFIN=jR^b-6ssfw82wVy3MEbQqK8Aj)uUrd-3-NOBMJ)i!4 zr?;TWex>j03s;smrW+HM_9xxs0*N^1-4RHX7u#LzX=JN4`V}KtekPHB{VZSAf#94q9<$J%AtyxI}yRleuYU3kMc2{r9HvcU7?K!#$VHPqCi~Pj(8#iS7 zCQn}bOG-+z$b@R+T)cuT{*&6L|LVpkNm*GAnKSfC!8w2Av4kAP%B>Pjs-Atkr=l6` z#3BP7HsJ>6rvxWaP1#g+UuDlL^`ub}ZrdMhs}p3InazPj zvFSK4hi5Jd;~;q7iJ6_9o#}Ny>%X?=VwPPecMDss*V!q?v%hbyI;5j*cJmVpdq#-9CFwP0fEF37drHWy~JwW?FJhsEIi2%Uh@4S}OH3nQ?_eS8j>} z`&Kk!{twWDrO7C>7>h~gw3^I~iz9yL<6|v*0b`jf_7|03BRTwCK9=|9%^M-Vix`@SD#HijUN^^~_sObhiu09dE(Z&%2y&tLny0vGe_y7<+w z{Tl7a?V)(r72q0|h^U<#3nOzzUthl;5_(O|&89F|G2%uVhIiFMsGI<^jMLh9C0sx@ z{cx>%-Tq+X#fUiv`c|p3y?qI|+4krilevY3D?G%?J^r|K(tUZFrPrnJ?*{xUx!7BO zubsqGIbm6!=vA?towL(~r+45GkKsM~MJYoT-IsWpnvvitnIV^mZO?__P1v6#d|`E> zS`CYkEz_Qif{{_KwY3%ID25s9X2`|^-&3ipd4ro6d&0g?23Qt4cDFrqi}4EPZt^ew z9G2sY5~i@A=xIN){x2d|>LLenK?fdEQ7!-YaOdA;?ia@POVK19;4|(dhK#2qLu7lw z3Zj5FYkYxpgW5>7N-vxC$K|h}px-m-`s=VypBhTncv219BcMeW?;10Ek}ki1Nq?q7 z4D@Q-+Sy$oxsHKx)fNW4K6>%|ze{HzEEl;_c^W`*?^ z==A=(?9|t=j+?cdC8ln!x94DP%1(g4XKg0FzL2F0B1@#Y|TmtKJyi# zAWvU|^QpSyohAtunV@lkU9sb^*kE)}^=zp;~ zTG|K2tOMyXvBd(DT?zbJUHtoTaLdPcNlZ13jM8mwZRxj(*iC=P#FZ+mt4CQ@Okb|u z_UykXv)iq?55 zj3mpp_VzwdMsPs0Uvzm6 zSliFSNKXFxqaKF0FTAEM)5A8@(tr_g_a-=#zxBG@A@)IiJvH z*fSy1(UL5am{j~E+yA<+_kTL0a7l@Xh?2ws6j!u%5-Y^{ii2K1LanFrB*0ij@ZZDFV2B-i^gJb@p3dW1qfY%760ce zS2j@q=rMc-&vO{^T|HD7*}nhth<{(v&;7r*4f)akA9IVmUg$osvIqhQ=za9}SJc-} zHs^@#8Y(U>cK9>QoLImeFAH*C(Z7!l9b1iffq(tlwXDypDq#ghGBPrGW%yl2ZiWMI z^|Ad#IAUes4ag5k?sNJs(uHQHg{@?e#JLB>i_}9?HW$H36iZ;!{Xcx@;a-SSS{=*5)H7UhtbS|z z_qs4XF05}U?3a;Jj%r?iz78*7qc}(*yq^49@_ExLS?3$`|6boT>&=_FDV@Lc`arx$Y7YO3o0K>gwty0ABI;F*7swTfovJ`OdJ%;`Yr&8X+G8?Ma|`Ny%kYvxB=INgPt0|a2b(7Qu=rGP*ubBta+ zXQ%6Dwx8=`EGBD4w$A`6DJ2+dcS1mQGT)P`D#$v~#H26X`-eAcZ(rZ;!A!6j zya2Jb17O%ZrQTqoBGDfaK{5T1ocsW`R@$oWFkRPmi83uMEn0Vf&3VFMNXK>dvshS6 zOj|4QL3sNd5|0X;>?ncpodCcZD2ktH2{wc3-BIx3j3=SS{~zGUmU!{vOAsl4HXK}} z1*=*k8^`s+we~>vl|<3lYSj_2bw4SBGr_`mN@-%GvZl`GEq#zATzz7-#Lc7Fv%T#ggUd7e2*ZEya)J{r7qh>6E-a*xK)JvNqJI^(OrWufOJaItbjilxCJ zE`8PWAT2fZz;F!1G~?5!n*_e(jZ6_GZ514NS@Umo9<3Pri$E@lHati9Q0Yz!)=-RhO+ZpR~5oZp5@cL@G z>eZ+5nU7I;2V@A-(SIIBS`U>D>6&rd+_`m&+^_KqoNEC>NXyAN)PEo=CpQF}nG2nQ z6Ykr;_$03xuP$XI4(4hUXO~{E0XL%d6up8xceVu)EDlD8=iwZl4xEq_;b{zpix}Gv zpkD>jJT*0ZQuTH}-rq8XQFZy%YdoTZ4H`tej=A$)iR(iSFwMdAU}HKRO>*zvyvwng ztZdN2t#2VEmJ>Y4W)vHDQH|WlYzYYo35$)*fi0H^ftyGOy z+(}tS$1*tVV9v1`xh{ZC7YEz}JQAf}^@Lnj?=@dLW zz8)!|(w;{3AAlLMD4$5DPH=w0YSgh2fFBB7W($d4x&^g+npuV}97jp&kmxHaDhdk? zrD$Y=lQ9dxrh{)z!^WlzC>l=qi;t0(C~?~wv~{zozKFXMD-M()QKDKso7{$PgnvPb#cVY8b{A* zhi}o&uX||gA#R4yCpsFM?mjs|3mzMT;*l`$E{H5Eguzi$f*I&x5fRW7GPnfd)id4b zCnLfku+ea#>Q7O7KkUDd`^A28n1Y^N<`XqOu6+UllgPYM7cwknk3*uAKKi1)@?)tR{d zv4;oGulRjEkeFNXD-8TP-tH=eqiR-%zcvDIh?CVRd!B)>24WsS zBZZ{q=F(dX7Yaw}I7S;2faxiyL$|S7l#e-#7)GkRx`)krEsKdl!4FR!w*O@@h5;&y^!A`HU6Q2EX zJDCDFJ>u2MV4h};^H(@hJ{1(PZQ42$mJjhW5qSr{Kmi^?fU(4D0y_b>EYJgXq7__oCTA1?!x889x*Z%czoou0D8wt65ynYqgw6r-JqbzUlsV23QA#us`Eg1d7Y*}4<#+wK8U830mtqV5#{{&@f3@gOI}Ua zB@L|4;|~ugaqrz*KG>W=gKJ-E(npo2Q>_XXNb$*&H!!7spvu845TE%836H(JyL*ix zKM0*_uKE`_!IOU0iBdBpm=Z@4UJz06dmL}J0K`Qi_YMvCIS|*PC)PbPAoM}c9sPE! zcKH3{+A8G40DKcv^EA_7((ua8QXiCohC>{dDjUzU1Q4nMUR0NukxH67_)>cNHnqm! z3?}V?J3s_M=BL?1GoTta0e%QA%g2h2;Yxu(2gF1~zLbt;XNZ(pitZhV<)|M57xt>Sk2+(z^*SS}wtxkZ*8T^W2 z7Z^hcp6rD7q{|SsyXkuD4qPuC`gp|tdeQ0Lz8AEjUYK0Z4YFmzZ2Z~Yo?~18^<{k@ znW1ucRL#mjjmvf?Pmu82%Nm_I&XI?adY&fG{1O%6HXm)g`1btnPdKGerp5c-V@>=n zzU=^$NuO(Xq+8yBgvIEt59Y-(n-4Sf)#%o`Y6MY2+<5?s7zm3T?!u6JUv}uX-keprdbp`*lkebMza80+kRx!m0;nLD7YsK0UR?}Qwl1o z^l=uj@SG9!8j8zS)__c30mf(i>GElubetv}B5h`W-fDNvE|!J%pVpENhzSFCSB8iH zcIenUuaLQS!@BdXtbc5uV?oTx3^)Og_G@8bDv=LLwCKqW3l`jG#)PCDL=O54kx~#6 zas+m~C?A92sPwx_eJ#d=R-ldSUZ?I3>ytVme8FmHSQn`YSwLREeh1L_JiU5dz}S#f zh!haumd#KC{fzi>p0AJwx!nY#SvT++PtAW1I0Qi>_7iTi$OXPD= zJlb3B1M3?8=~L2nC$Ahh67cNhe0yL()%M(AITBbNS*VM7HI;asd4guQ&Dll|CVu|>1@N}rsF;?4p)>5Y z9s!(CnUfVXYR=L0!^29?ZJ_NQbAMC-=xGeaFNT>zQvC>%mORpSo$EHupks20ZPjw~6YKUo@sbh}w56zMSV0hcTe4ESvN?H8ui;h4 z6}TrPhKHHP2u351iXiH6;fqR-QZUuXI`Hz2^{t!trhWh-A{{8frk0kYn(dK9=GDpC zF=KPM==Kipo!hr1S3@J4;UhB=Jr%XJ;~?+=%W1z4`MG{;G0Hf9cXCSFlREV7}bu!DxWnPY2}!5bCsbbwz^tOO*&k9GzP5 zrs19*ZC6y=&Pn#s;5YeV5-2WxraP~|aB90dpr$pC$SfGH9qA)8GUNadfa4Nl9&nDq zZGaF{L0I@TfK7OO{NtsLl(@?{q`7nLkt@AYjO%80K0Kz*Pl9=jF}X+aQFU_Gc1;1j|ci(JjpHZBizNmti=K~#;{`^{Y^j+Evw z?fS-PCODk-xil0H6k&<}%_bh3&9#L`IPL=w=zekBN8Uc}JQMgAhMPX(5yA0|yN7k4 z=msa~-R7U4DWq!Ys*q(Eue1w<{XZafX{ttX+x&h?0i0BnfQM`JiEL!MAu&+U_}~&4 zjzMJH{E1v701`@?WeXGQe+F`(tT$fAw7wX^fM%E~;xU=G)@8dfK-Ssb&gyx*DK-O~ z;^s)pcAZvLD#Vd9;7m8u71aDLW;8D!`@2(SaNr;~neO?Gdd%TN3t`zDrqU4oGlLy4 zK<_Ly!#e`WMSR0}t}6m%COuXSfVcz}?0vy!ePmzZbh@aZkM*bMoP}X)AVZ@jw_B+b z)kWWJ0Ppw~N8ptv)uTski$ev8o8xv}1Q4dPiU#1n_|e>~=}F-~1Q9O^A7q1#kkitf zTa}8Mng}>E(e{YPGA-4JhsXB71-PajU}+87!f2Zz77PIKj1kCrXaJ=1T#&26F&-YC zF`L<7hd7Y_z)?$&7rf7RXa_c4YIf(cHJ z_BjEYjE2oQ`dHwEU#7eqo)sS_qQV14X6BxX&1RxNI3 zV}#H%f+KOlk`q)xe`jT=3!l%q(B|}TL2KCn0&JV9hS$Z9$h_7J;)D@$PWX=(6l~FB zrJWrw2zr_g-@SVmAABy|cYY}~$6M`)mDRe=# z#ZSz(vp;QTJ_H4E0JS^6U3^HF9wY954F`u4;0g0(v$&)> z^0C(ZP|JMH$=;Zuz=Nb&Jrhnb=Y3u>*F|z+y zZv}`OebV_`jO2ij1En`Nl_OXK8m?%yMx$}B4jllXh3ond`UXpoJxUCA*;13nrN#5& zlgwh%(9noD;kBEWMkfjJ|Aw5)sw2@56rGuz!YF5V-3o}O5O;|#?5-W)Ezx7m5+-C% z*i8F>Iv-5?J#ObaoDGebN!kx|t?NuYl$`q6)m6?%n&Gy;7GW2H(Al>L370j}LB}Fc zIC^*oV0Z$+aT!4t0GX-YZjk;c24lLw_S#d$fEVgs?F^N(x4VvxOK~{Nho5VT!KQ8k zyR6wZ^;wLR84;T}uhYZksc&xs7ZTh$w+L#iBun5XLAIsa5nlnOt?ty25)haiZw7m@ zl`4Q&bs*_40qzNcshXz{NqvoLv>Yi)qy3PVjKTw^R87xgpvW9Tg+M*e!=_?)M1>ue zmEnBI-jZKR* z%{>B@BZW0f)JOX(hSyB}C15_tL&gbZ3T_1UZ@$Bn;BY}$e+moVqP%X@|%f)g&+ z!2)pt1p+c*3ez+Qz)fR^o|^zTl&`(2hOzgcm{@WJXKdAx0+>da0v_E1BxRzF3u+)f zGSYb5V}Alz6p)C|F)^kOsj0Ql@lc({$Vr=?&D_+~L||hBUD4pM@tt&XqTGu$(LRWE zyvSTVp*#IC31iu}H$*?dV^5>+81bpCt0$U4o}{;{9afAgCf2S~HsSleh~sf+JAlfD zfJ(cC7*RqbP6Ch4qUP-MD8k@3!WxC$Ee5iy-8RvE>qFN=+4Uc9oF-i|##8avef+lC zR3Gt6G?C5Srk7xbjL}w2m)_CyMqjLm&swBzf0$=L`k43DQC7r)p5uTbY_bV_Cfr`D zzj$Al!kOy=k%>GG**!&uQYkQ-q#3aQ(y<)B!f3SO9lon6N}H@Cuo?#$j&une<@QQ2 zLvXX$pA~9S31^lmiap!eJp__Mb8c&ML7gyp^$pfJ@0b^B#Ue1w$p?3gZ2$>8FM%Ok=EjUELCryC2p$TPwWmc$s zZo7FJ9-h$>Z6J-lfB$a3l2>lpll%-x2kv~o!ASGq!S|AJ&~S}; zU9Xz_agh%p1vo?OLCGJzGqf6btV815cUuM^IVzJVpo3(}z@^;j7QunEUQ~om$*a#M zu482uF}zOs#-oSO}kkr-I~jCzN|xkx%bzVYG?NdN5ydmW2_lo{@oBas5!waHR%8nPJ3ym2Wn z7Kln9rvZ#bwQ(gBzJ4p=m(YZvPtl2#{QNrb#;V2Sk2?ikCsN3R1LoQTX3|hmHJAJW zE+!uW3AsN5I@nq!WmK zQzZWkzWhLeo**Q)TqB}c3?<(k#fJxGRah;p`Vv`g)C@upqFAn_0^#DyP{EKvFuzfZ zR}-#UCU{$(C{pjy47CE?bW{_hWPwi>r&G;kdaO2LX8=Lr@?>qbW&MexL@$h=fLKw$ z1Fr2l7p?||lC9lM@-#x(cYnS1A)G9=3>GxK9^AwBuX}!Eo-|G;PUALW;lH=isM^!2 z*a6+AP~A!l%xjLgdQ1ajBP07d;7a%6!dysBrX`}I(EL=F!Tfv#S)tppOzD8>nh zF7z?69RF?@A_u{Or|Lj0cEfJnh53j^Zas+(-^U7HG`e@zgE5s^Xs0ykO5hLIJ^Lc! z2bO}WuLeR3xep&c2ncS&G2ghi^<}Hos~s(($7pigk4u9Uo;38@KvJvHb?=W!+hxn{ zq}Qk-PdqRnt+I8n1MWuY!G!EE-s%`=DVK=d@H~%3EKc=7b^yY5TL>}BG3(t=c86jk zpa7P3ANxI6hD0Y;R~$~-)`J$o(`k*)#JMT{M<4CyEx%(Cai|Y2oWyM{F23qxfk5*y zr<5QgV^;-;hIG3N>Tsbe3bPT7pH}ShQqcwfZ{<>^CkWG*tY13rYBhp2;4-B!N zWWFr-400^Z4X-cAw2!Vj&OmmTt{BA)oJf1sDO_7KVr8tnAPu#2LW8;9wVERs0zh62 z7ZE%g=~Z)wJ>+XY1RVaDGb?}UYm;6Nvm}lCY{A&(n?wtEprdqwrgh04+Mlk4@N=Gq$tC){5YxC$x*suKRALPCX5u#Q^HBgX&FyK<-v?lmN z`GliZG({8QJHBVYrPa#X`K)!U!0;NMmP$|%wN(cx0MxdC*V)Q$zK)*^8^Vg`d z&oZnG89L`q>-j@@Q?FIb3)r~hufdx{NZ@k+eLR>8HXUVUBtWQtdD0on*~K;i{Ai-n zOTbN}KAPos8{CTGJh~;A%qn^aeDTC~_?42cLnMQabUWm_GCM3JdinRqXSOYynGKpV z!J|xf0gZ$fnu$3k`$c(&wegYLLr72*)7jRxb*u;1170UemkgX=h$CdYfd31rJ%fj- z?r_c~yo1156%u)~fx;Y@S+1X|nwn;ldL7%e+k*C@+x1TM32PxbHvy8>Fdyai5=X)m zRaa{`Sz$9nf6@ty9ZpnVj;y6|{WdsW3P9_dOoEy%9@ba2zkrY#$=cB}fSXV7HEC97 z2Qjp_uz}y4FGjfl7Q{wq)i~QkZz{8=$Efl>>3~WI(<-IOX=^0h7C8Eau}qD;m)msn zcT@VdlVi0GP}3UkhN8p6(~x)?$Ys?;0goNvV$DX13?=2{)Sf=|`ThGhQg&YNaanIc zZ75GG19Fa&Q8a#Af*vW!f%1m ze?@STuWm!64>UF*mvs{OOT0)np!Aa7rgQM3stOYCLryJ@MbD}~^Ro$hNY5*8hr@kf zGw9Abp*aV|oc~Bb z7Gxn2O2!xs7;Iaq4GBtP2lAA{LU|M%Vq-EH$T|5+LY8*0&cjW|zULVl(&v2JZ7Wv5 zemAppE!k_%>)5tZ;$l@xBP@B>A>ifmXlV|uOPX`$X$+0u4Tg$_1$RA<4SlE(D}R^@ ze8k}&C!?1yqy83q8S$wEW>J9$0nDr{IGQXv&fuvpLo}PcIacX>bx{LL(5 zG{8Pve0}x7?~inG7pEMnk@O(o|DYW`gdnhr^58ea3C`(2jROINq!~OvppHJXK&b%4 zytw}5B{#O3jvdT#o>m_8fw%K`8=idO5S4h;uw-v~dVJ^#abF1}7V|WUMWNIeGD#`` zNtCTFaJEzx7>QEP6IZ!jamalc@=mt)QqIlKL&AdQ;ltGNsGRNnQ&_@B^z=v-P8V0r z*yBkF7TnKqapuvHFa&TdIIZ*AE_3ZQSRPL?X7zsAL`ZwKON<@qh#)r%34BRUF(l)cVY2EYh~n5GlEJ214( ztmMBjPH;(ovYscdD6OK8WZ~sGksJ!-Ggy9&RXY`Q5s}mYQ~Pt(kq%gckXajG@1%O4 zK}TqtwjP8TGOhQa2ZzQ%Blef7ss4w3+tVtg%3RNkeKSb5hbf=T-H(@O%gRM!AQmg& z;BZ~7G@JwyWu)2DN__Ak5t@@O5Kk#jdR5Kesf_=bJf*d2@ zE}(y(6Sli*GClVO7OxaW7lThN2?Y$jNIe7OwEAdh z-S+vqN&o4$J)#K+J)A*oV}7nCeS9jKO%}t};_d#v#N+ zj9Sq+9ohqIG^8$B11q*5wYvyx+(xB4_^k+k76T-}*ma8>KI3A*{C}c9U|dQ%z)a*Y z)NFjWMe#y)9Aw}`fSFPPNWY7VJ4bLXt+24WH}fOdA3G25wbMP-~t8MXMdMO8;)}Az|${kjo65NL;>R<#iMb@j{m8 z33>^fU8Fz|INF!RBhq;4{x16&H7@%tuuM`q91INk9S$mvmHsq2C=F%hmoW^d$KXYV z>~?PZZ#YmpKRb$t_;D`3{t@$lPw#DgNC)rw2_6f>`RxT|E&Ldn6ID*@`EZPmqLnxi z({rJBL%YDt#oQKzxDRwI1G3+Jn=L~IdNpKLpu;C#pjS#ZNMZzhi)j+A$p6W#^L<#7rw>XkAZ}Qe08?>xy)1Vr%%@+F@iUNuP8YaQucb(y$ z)PZ9t3L$kmk?GlX;@M&+?|Mne9T1*fDAb6WB!ifBq<}J9?Jt8XV_hZ<)m9G?9{)NP z7JIyQEW{_kt*Xz<4}!Pu3PD0Rq>F({rV$X(+Bq{pz|deZQY^p2v9{?{OR_0lPezd(^5U?mQ7|S@8W+V3{%UQxaT1wid+%>PfCX z^D@*cgW(oJvec>dFNM*FR`$?t5puBiwBUkIl}-~D8n}`EKxZk845U1Q6eSMejS6mp z2oZ_k<%IdeN%W6Vre-X$rQja8R>+{g^cGwrEW^e71Lk%emN7Dk>p} z0jfm-)m9yOnPy#U=p|K$zj^N;xn%opqQvDH*NMYhdx4pQn_g7*%O`p(;QE4cv^Rui z5etwNr<+~J@yie43Qb0p+jmQ7X+f+t?$QU4JcGxn(=~GRcX-CJ?SxMP8-%3c?!9}D zI&HPFZ^+4f@`f`}jDWJjS~-r;j-Noal>K{dJOh#|KyzBytFDuk%+08A)TIMUZQo3r z=g+qz*pRy5cfjR*gX;J1(N1AH+qi6X;}pifxB{nAnFgTr#B;@^E=IaL_$32W;gAF= zf!PSF=naBw0WgZlh4-5v_O5@lyRVbK06Fd~s9cvs3=vBwoPks6VlxJgLtW&UU^SoU6o91Za^c zTFvtbHGrIs6ml6Q)(q$Z>aXMK$c zF`joN0ngbqW*@g9e;6iR8H<-88?en!7%iHvZ=CD)9FORFY2tajR5#wK7Le!%0n2BBj)2ZFk<2OjU^6lLal&}*=Xv~oRlM5whVS6*)VLe*XMf7mMg09O!n9M02wMBRmoahQa}SrUh6_vS$bh ziMK^0%h=ho_jo6<19{;UqCYwl1h^v$qoY+GA8rUXeueasXgorzRy3GBL;Xw1zZQ~v zpKe&FY!hdSj5fE!-XFlqdA+W4i?JXp#6gCbi=*sE9-RjqKMrgF)PRN%+W{S0F*_NG zo;BJi+*L9W7d46T65&O18l+b|%Is8V<-nT+fv6cnkL?o1hdRv}asnW|8Xzp_*5g$36Fh%YFSb=FgHjU|AKQpV`nC zkUDzXp^M?evdYT$F4l%$(Hf=s9~`|FDvSIdPa64hJNjI{2ks7lGxU&oeG`&ZB=X4< z6WDnCNSTIF;(sE<=?GYKf;CxokxKLfN2+#43;tUYu-q=;9Ty>IB07Rb>Jlh@h_6&! z%08qHvkGvz>e!4&_i;l;D*5rtf#mPgl3tlRHgDNNBp5{Ma>x$HMZr*Flw?HD=ZGyC zLBe0ge%hvtmyp&06}>gvB&NtC8nHbmn==4LZoYN>aMP>C5j*A zeX~0^9!pNRNm&gZYWB?;Hrcujw52XFjNfD6g_y z4{!~oq3-91?~nJYL=wE^N!0~SUlJzN?`0f2s!7yK=q!Bxi1eoy`eH{Hf4(NmK0g|# zDBJV3Z-{h26##L6gELlrN|S4W!%#d9<(*RQUk;5Ut^WihsR`d2efWx8q0_jQvvVF+ zza`@%a4)HZ93R4WWncQLj?8bSRv$N~m0`qp!m6t%{|DEfB((&hc>gOas)rxN5;7l9 z(wX;icJAEy;uyO}lU;&eNL5UKpB<98j8FF9{|ox=?iU7+5Rp!?SiD$Fe^Z5DX4rj1HaUnYU?xi%l-f+~p^x+Tx-Y&? z2FF%_vxQfKt(o&5IanKVxG|78F*QH|kmt#fC0>_NJNNABk9xA#Q6voK3u=m=-B-*W zrjZ5`o>j!^5mK7#THV{onr7HMh-D%36?)8AFs@Mpq(VXd)(Flj>%xc45MG=D-1Q0n z*i`E2S#$M}+w8EJr5_!eqz-gG0(^6L*A~b_$oWmAtjOX95yzVehNhRUpKDt%Rxq-( zbmHS_s1|_kKf|IN!nP2<_A?x{&pvX_WEo(iVQ=?EY;3V-!FsgxEXJX#mv8@!9OMW; zf1 zQiYKSn%JM7Kfp@IBEXS!dKlAstUL0qJdvmXPM3mPv4Uf(26d_{dqju+M;qG6)egp84qevhLi^uL)UMa0?Y`Bbm`0 zcH%e4`}E`eYIwyOKsluHoK3U~c>sCz?SE{T`H;D8%a$#(-G5fJTMe!TK;EU& z&L43Pv_uMkI-;&axPFn@ZR#0zO67`p^j!c8D5J<}Qw&eov%MO>&$EM5DMkb@0Aht4 z7mCI1cW=1)Q~Q?LAo5cRSdn&{V`EmF{X@T${bsDZT4hy;KXo|G@G<4pe7#;Sr)q@` z9b7o^dMPPHD>NcJJe0k$_OtS4l#y`{HwKU$#@}4)W|JBb|i;G^} z^-jK>{o+)8BMZ*+Xhj@-ob-Xz7uup@u>1&!!8^-&>CH5N$nmm-(f%{S5`*$z@n;M6sSZWp7`Z$Pq-WkJBU#S!pTPIEe4Oy>Tb6L$C9% zpSnu`ikK`@cI55KhWAdF_J@e+TdE5eFPcIcqmyrM=9L};FwoDB^&KMPrky*9ERJ(f z=7knfXSH=h$ne!F_ALk|U#v7^Br9^8R8Y($m6*AXv_B3Eq$jdI>YS5$zkdB9^bn~~ zmY{)FvbE*MZskmIYHM#l4|O}zJ1LQSB?!-UtJ!FyH8@u;n{i|_!_^mFTnomy_o3NoYHbC{89vewA1 zc!@B7{|)#QpN}OaB}~(_+eMWfY&EzU2fx04Zo!7muMPI@?(PRdrx7+Pnwz)c%(<=i z;`Zt1UdnsD)RPqe7HrzS-JfBX61mBFe6e>o!7xpAAwfK*rNxAbQdLWf(yNRj-(cf2 z^*c}+-5r>np004}_VE3K^Tt(47W<+7 zv1rfXLlS%o1zp>vs%wspWTx;0&IV%~Lhqq?*Gl!lZv%c`+)z~1cHp@Fcx5_t!j|tn z$|C_(turieD8uO-tCgyzr$@7X{d#Uj8t>b;O_4W?*2IfeZBWfT^J}!eC?-BLSdm>cFonxmj!;$&$EEfznBR%0QFYP2theHkqfBr_iLn!gK{?xA>1rkX8XWG(@WVr>q*AA-8IO zn24H(b@b=Yw8UOOvYGiA%|6-o5Tu7W>{KAXW;}n5bz0NX(h7@H3O9F?HmTm6Y}D1AN_fP2P~Y83}Q5)G^xS+3}mU>0(VMW%-&hF_vEQl0YK8laLCp>_qbxN= z!WNt0q_GuwXqe)T33acJ=eo4s&hC5%p{ofBzHlKk8sH}Dv9BIJ+&t(Y{-wQLes8es zGxf5Xnp1-Vui_eoU1u!ZvDN00M3YS#eHx2<{b6x&8nt2dE0-_7JRX?MFL;Npjw~v~9X@^Z54crw}}qLf?A&3}k5-}g&OgmAg1zkkn%S15^Y zzyaK3xeU%AbT^&)1EF(~;yl$d)l+AALk7Xc1-I|RlDK}ZwL4-eQLuxjzd=Kgo19@A zKVwBB&Tb?f_rV8UURiR%?#F{-LUhH2`QW^K;@n3)Gu)i|&afY;%a$#BmEVx1gG4$Z zHkN{!-#`ZIz;$Nu=9@P%@Z~jKoO2_!V%?R)b?}R?0i+goN$Tp!XPd{1rZMBS|A3S-29)G7fa5zXwN#W%5 zyLay`4qco3-*_D(mzI`-!o&Rt`#D%5&cQ)()O7|=`f_&r+3hPUD@;Sl9RZ?HU@$P8 z7$K33EN3hoE>6x>x;Np?tnH-M7!)k;-#brpvh+WR*d zxnjegVPD*+_3~EJv}V_R=;?crK8XR3yo22&gH!@l3>6Ix;tG$VR8!&;jYgZFpPy|Y zLOOCdA3t-Z3KNkp_m;22_&J$m4O6%YNY-2D`n<^!1jhyxpaHlQ79dg;J{y?5mxjQ2 zH}`8jLvosJdtM;b4^(v?!EgXEpq_()v&VpyEf(MAt-L|{rD4-~3X{GG)l^_577}+fU{7U-TJ8^=1!N2`#dJ1uj z-|a(}P?GLSygjBtdzTZR`ES4C_nJYPg-_TdRntGEq)gYD%)%&-k8s+79+4POdMEJ; zt=d0-;UUdPH2Ls=j~_qM<1h?}rY)%WyA=J#4nKMFghk3d&m!{VGpnafoBqBwwW}4b z`^cZvra2C=2E2QBdhOqT|8M{I;L%T3iBgK?oCAQ$PS>4#Wor|kr3)z@BJC$T*WzX+>Cd7LW9Mnp9-5q98s7SkMN3;Wl%7^ZvFaieU<(J z(f8Vc|F03V?dX{WVR4{??_Zx%)oK6VpQ4Pvl(I_e62j)`3)lJQW~Zz|fBdpOa-_VQ z(ko8ab{7LfbKs!sVCPc0Z|f^(K5RWJ<$>0&9B?T8+4HU~(&gR%bx(BUp583&?QU-` z)a{xvH#4L5d~GVP&?FfiQxoVpsrXtlckYRR?0i(~K`yRWN)AVrFI{h~=vv-OdkT(AGYaig<~-;g8aGp<>H{v^(3roZ#S!r))~q z&%NlfjOCdUU^F-FiqBA>`%&^~tf&=Fnaj!)D^}ywQMX?gD*xBIPrCEk`sdpJz3v%K z1pL3SYpUWhx5)h6hAJeQySN-dA-jr##%DFE7?Q-Gy1F2wyX$!n5(Yge=*nl$>kFE zyHP>G@oDP_pl3SB-1|_=DB-{Yb$c6~zy^@C=uU;kP#N4D_(&LXPrYV3hb+zYQ=b78aWwk>)-JlGK zX4>^1-@bVP7xB6JXzRbU0PRbo;1M1K1sTs40%QLM?N{jTfMy8JZx$DO1aHVGy7G+@ zQn7uJqF{m#OGt?2&+0DPm?1M^zV&p+jvbi%)d1`=r>3cVv}<3QWlGhChE8v?z_K;e z)o=CnnIap6)iUns)3p@dVuR6-ANLFlX!YyM0rx>kl=(YaE=~rl=%tmMqM{vOpR`Jm zUv6Q|Qx;~Wv+XM4iTsEZa;8Pb);3*{6;qOj9lR1-N6^PubEI3-$WzmWLvhZ z)3t|0p0qMj{DPC4=$t2h{kk0-yk%~Z6|Vw-VIiNaAYJCiO={mD8s;Vf&eU#5Vzxor z6;;PJf=6pU?asb+YjcmRVB(uT)T43GQVt?b@=DLh;WsL>cpwepfR2emErvXKO;pI6 z7#Y1GGXECm%XSOZy_;y-&GzCm;nu_d{p>}^(pvuQ2%YIS*mmAmSIa3WQ9_BnhJuQk z`X)}9H31)}W27tPJjL-V5LNrWD6tE&7H z;jG*Q8hw+BzrVk{g+r6I~bJai*a=CiLke|$4I;dy9&GB4J#qJE}4BRTojhW_#=3tfo{WG(mYNN)F@B;qn6O?`6eO41m@RwhmYbTvKtz1bc&{!iLy%7?EceN3RuFMRorB0(1 zrl7!I*~HB33uRQ#voIq$RFHhD4M4;BnDFo}0!7Tc^i?S9($~+!b3|FT(2n(>uY8Do zb%p!#0IC^<7!g*LXfIP-z@@~D#K(^xA4oi5h)i;=LE$wz|uqthE#agXSneG?+}p!DDenLWLWr%I$q4 zth%)rY9q;&`ELXx0dMfJU|n-New1Kmyl#WRw}99wa)cRW(#N@ePK0xw+v7Tn+UKd zOz*)0g$hwoPHr`UxC?_%H1|x(HO-J5E{T%(1&KyqYdbq5%{oM6H6tT_<;Ee0FL_sX z)jv7v4+M@4;-fPGtUB}%65J(3c;Qb-q0VVwZ#uY@#T$1`0C#j|2eXGaICdvvaK3}<{IClAjDD^+DIH*Eed zR6Hqp*AM9Dq^Y$SZs!fD?vvyTtJ%&YlI;W^F5+uy$~F^cEfrUs`K1K!oIb&agXGUq21P6 zke~11Y4O46G~IbrU6as2v^p2>*|P`7{i8It_|_55;14OIALO4mo>2eOFfvO);pVpJ z%6Dqmonp8&0F^I|PyC5zC#(=Kp~X6Q;PY8k)f-T#8Y7w=zB+Jk)6z4o)JZrZdkHK* zscNGBJpt%qnQ_olNpjw|j_lD5eKGZD_-2+ymA1`smjf*qJ;PqzyA!$JM~-vmJ7n%` zIL_Yp+cyYKLvHhBNyR3@bz@<486z@dtcZuvb7_WN$Vf*VpV;1W7ZkJnyqhRPO*^q- z0Ojs!$v78?aCR)54MQ4H^Y=|wv1c?)J>&HP9tqIolzsPkEAxk@x^$UmG>l5Tyee!) zG|yzTCKMGJyc#jL8Eb!f;Cy`I4RXLXANE`+s*L)ImN5cd?$avXzP=m8*5WBZ1hog^ zcs|$Q>)+l5giCu$tzNx4#URkj%j*-z!=RuWdrpPwbUZf7w^wvnvoH9A_q)`@O9=Df z!j|d*c2AI=D8|@nBWicrpdSS01wPnytc})Gm@e$mg9n_#wUE7Q=euX?1wc2drd^7b zYAEh8FevGjX>>#c&+w|+_V(?_v$(mrZzv_mUb!NOhihVPzJA}nea_C#8toR(8Z3fh zVghl`YM1F%uk6%H*0}8Cl$-w;CBj`PH#axj?+!4U-2D7Zq2GpvsKvy@8ia-mY|pZh zC})RUDBY--SCVCRb~ZcmB94BnMoxI-AH^X1!*7hiCRXJLyVkfP?-dE|`wQD*rjaL!Dg5v^K3yGMUwrug5nzF~sP14{6FJlTvpy>8;l^<>aN^24t z{Jy=A%gN1Os>%D*S7gZyp``GKGP&#yI3;BK|WjJUhB_+MhKpV=v z&`Lo10adzBM#e!z@*X65kXz`coy}<71;M2-Jp0$MhG2GAG%{j)_4@TH3Y)g9o5&`B z7g;eLP>XS=IFKQYN(y+m{PpWnNIBJzV}WEWtEyVh8$yFtdCf+?c-SPZ{0F`x(EO@Z zt5orTku&@H9t)xOdwM*0C|sa zvIqgb*0VXk8MYgV3Y4iVd5%caU=iCm6ciCb{X)zC#tn-17le=)0?y_U&&IVAuc;fgJe~&l>T&B6R z>O0TPcA5`gJH6s$hh+jd% z>s1%zIgmPV1b>KCfO zFrGX|-xp}%vnsRD$qqr6E#7f|$VoU_x4~i)4x5O@N({Qvx81l0Sg{YB4#f>XpKyRz zR8<`l{s`7VAqM&2e%Gs+$y2klTi0bYwT$wv;o?fh;%^;cMe~dcuLb2#qIQuxFR3cH zcNS_P;tNWpYXVC|GSQ{wF3hl)nww}{n(1&Zjp^{ZPm&Q(FkvI!9us(C$O)%p2( z4oS%!Aa3O#J8X6!9O=vg+)QQgNxg(v02Q0MPCaB0f@al>Ct8YO*xtQ+x6WD)!2iYw zj6okR5NZdR0$Zj+Ep83TC5cHLSs(p4-$k_2#bFloeNsc5kqH#SANlUD6qUT7#LyX3ynp3q72a0w(3&yqrL=5u_N+;Q8Qp6AtlBc!yR(6p@`CJ z6>jDjk|TU|rstpQYMV|YVPIfk@xu-$BcL&EEz4q18q2zh6k!S@hYU~EA}QOoYu6ei zS5hSl1KUxbuD)@(n25k9Aw_JXjSt~sr>GhEh$SBs9PEX62+JFrdHrLC(Cw(X;Kkm7 zbH|J1)cuyitmr4g4*w}N61M%WUw0okKno((8Mapj40U=PEqhlu;{Kg#`isyaa2vEH zBqRuexc8qGTT5m^f}{>d_YMn|XTpXiZQQ@wZkxxBso zs|j7;$LL!lLUWggkFOF<5^tfTJ`W>vd_mj^^184pAZCw4x?V2t)VQFW+N`&95oJ^P zk^QJv;n|8GZ?+P-zvIX)Y!v@tOyjDj+PD#3WZ@@nV@I%hbv)jeI*w?eu2Gst#0v3kQBqi)r|zn?n4P0IZ+1fAT&A|N;DNNv$J?e0-Skwi5B zs*eS9q!*xkzx3=xGdg?#T>Ho1SV*DO5G@TuXx`MeRT+h*0F0zyX=%}gENhT2nRD(= z^;{pGbhwB$6NuxRP`{EbQ0|2K4f3yJ%F492yu5s59{k>M5NjP0LQ+Jb(71(-c(;Up z!v=X7849E83uaNHmX06TW!i-HTBVTkDS$M(deJ%#cI=?q$xEs3YbZ1%JBW3lIep+Z zJ-e;o4n-B#Taeo9Ut3ABRi0au?IA(WnM#v8^4fQFrVDX!J*yTQLVf8x^aG5>tN(Q%hYb7+kg{Wf93USe z=DevX7aFrt+1c4O%z^2P60>`U_?0I0Q>avI0kDc7TtunGNhcoc)vxk~9zgE}CB@qH z>-F8cgPyn!^VCL)oMLo9v1tMXPc8rWgFsXaF!j?R1vc!TM3Qa$v#WSJx<8b`;*(a= zgE|8KUq85P8~dI#DkL-*BU%w%#7o3|^vQunF>BLjm?gM*wWXz{FLmTG{Jq&Dz-+c_ zAk)pCDlz7hekxuv{OaRz#{(^UJV{bsP;hqmTgdEaJ2M_VlN9VtsxusaKniVI7Xbrc zd1d9Zw*KK+*Pod9j4yoM_Rh*w{2)Owu!Rt!Rv9n5UtHN9TwPQD;X@hfNMdxpA_WAa z+;JCJF9Z~M^n^SxoPb&)-mx3D*1u)EZ6~i@7w9mu;5c`NG+K|kYjnF?Dr3v#u$&wL z`^6+HsQ#!7K?znnJ7VY+Z3L?R5)tK6XTeso9w*RGNWVA?9+9_j4B1Q@txmEyhg4vr zR=U9*{KbSbF;eluBHyLd7K|jp)xjH4i9RO>KD%M9#uZmnD~_BR*NoV#e`XnRbx7WA#Tpbb`;PJsgt+KL^J zJRrQz9Ix2_mcA7l=F%X(ZI=224OV^RH_3>bA8=%1TtiAT`Y%F1=%Ej8~;lYxupVW^6yxsEUT z6tB2}B|xd8$Yl#aWjuYqfB;2QED~AGo8bXSJp`lN@70fcwXmGf*L%4$Q#04pE^^$);z}B3``udGH;89N?FC+M+XPFBhwo!(nKw=e?i8T84FMueqHkhbTUDh$T|Y*pVlh6 zg+WAdfbP>?RJo}Qb`a>KM*n~onB}Nz)?iuDKT;D2ssOl2WhSHQPGK>@B=7zT7YUlCa z*E-c9PN1Tp*}Se2VJt2$Plu&VC&gV7%0_M-B<4&OodqKQ1s&<>-9>$7a@-H;DKvj; zkThrKX-j&pNaB3qcTIw3!dvX+24Hi&`y9o0;zXdtbz_Q5+eM@A{rx6bpXI;4Lf4Sd zy5Xo|^IX{(!}}QpKM&C%0_^_x2r$;U9bELF3D=P$+kj!pbqezEoDeQec1j!u(A>Z^ zQQeMOH`hui8 z<-!m(p=P9ZT)?ehl@crp=P^<5WY3wSBSX1=APR5P8~6=^TH%GS!vn5!tf%nGIm2oc z))L5V?N`bUrarg%g}nXoFD<|rt=WLe@H9%FQh(-eBE<{@W6 z7FyCZLs37Hpb)$Kak`?sx~G)z=?Ufz-zK(6#tD7smQsMWh!eI}GXX$2@>@p5HO~_h zP2rp;P%kv;UJ!JEhNmjq=6L7fXyfz1!Hc4J)bQMtd%>POFE7mIXko#P{rBwad&U}gm?;2ywQiV{r#Z9~!N zgaY;4VW+VjB-=tELp_a#Pi!P1nE0iI92_UO55-1QgOb0#oM#cbK!w~10M|>jEKM`W zSD#Vc!^s)f78{ODu;H6Pu1z}=j@m(p4Nz&|=dhPm#~p#%FC)cMw6_;pS(-j$!iHS} zTp#+BvWg1%M}HmnO|kfKkVXFJ0Fi*ujiC0W)KeNelkc9$3m{@pPWC|GzG;?AwcTbf zmk@}eU9=z6nL(pHd|Dy=*7pd{ZL`(9Mn>T<>J0Y2MvaCAg+?*QQ5ehM0L4Ge190{p zu|Z}6C(}Ksy=dqQdC#Uc0|S7fU@c)j5Ycyuh-^g&z0J)nj6VrQ&=R(aWVz(OA%DUf zcyjs4`WtWvYiwr>4h^M55g>_%xbjV@HcIS_vrb4zhz|yVG`vEmJfarmIDD9eWG_Eo ze|(AJDlX0wd;-xiG{@~8iAqHCBMumS91gD4=s1Wrbn9`sFsFEim^E#}Di~9y&-}bI$~i>vUSO{T-a!H4(;f2Ykue~q zc(eS10vdU>NH#XRwyYCh>=1jFMjcMO+n&KK#K2JI-Zy znzK&nq@7qfuK7;EX%`|DRDyj-w*g8Ufrn5+I#2N?-aM$fg751q%=A>7@CJT>#1z%? zYJ?Faq@=hau&BUC6s_Jp$FX$a_TG#fj96li%i}W1!U5Ru8~XAQpN{~(Fr1L(iOaw? zXIED)yg^8CDq@O#pFI6c5I0-i z+N#|Y9KP`B%MD?(*w&FuTwQ~GHyjn@5CUp|0^|)mN`mP3w*&=Sxyv#%f8`+D_-NRE zgDF)w%DHN5|2%Aj94IF72EXKA-3RTb!c9T=ae1&RE*{!+qS_-~=&Z2^DYen;4JSSn zifag@Ma--Q<4sl~@a^A4l*&3?RfBR+0Q*`^KXS-j08D4^lWV9o@}SDQoRN(MBnbsL z%b|HTU+ME6oc;$_ zdEYHe24v!j zhFLZJ_6R4N(UFQ_V4Hw31=PnSzlZlzY^CSM1K_nv%QP$ZrY3{YCPZs6I_D;^p&oED zTUlqwQUnh`SQeQ|`Ns$mENCNv99#*B5)3Ak4cp~mQagU~J~jSZNaR;kYP$KuNO7RwiXRQ=rRF)v z{mlRVP4lA@e6K0)#xF3C+0{*_*i{5prJHD|@_t~->((vucxfucVBFqN`e#K#>i6KT z2KSpcZxR*x%X)MO>;)V^s0SaH+KgQ}klr59eYKWYbb@}tzf6fTm*jWe)=GMMtiXYM zkp*>xx&vHwM&J^-Sj%Ffi*vCGu#&=T6`I`pv1x(*SDvvy0V;SBVax9`@njJD@t}<` zsxDHM5IrsLbPB&EF?v#H(4M)#)`LfKhny5An)U0}WIU~|LMqlE4$B7xb~+MlY(Jtw z15EG^EDaGGpxGh^H}`uknK3kOW2(@CM`s&IQ-;rnu$;liP@=oWUN$c7-KKtb#o zi=&`+=UZXeyJ^s8o4U>{{8YOBvBV=+DILbKByAlBIBcB1|79xt7pCe>BuU}ABNm* z7s?mBaxfM;Sr!aX2!1MdbHc-udEQ7;m(l=#|1IlMqQVjuM6Mv`Kx?_%a&b2d_^aSz zQ`6GA*dU*NB>5M$bz7FD7jO}(gQBapCNM)h$$0Gk4u*k4v$v+{Y zJB-#FK*E$HEnC2Of~;H^>Gi%^(zuM4RhSA%f@p4B3Q=tTlliD6xB{lwE21P_}E(fC?bFKFvd{QMZKcBjcGqHEER^)qu z%@ItgQ4FMlE0sY+c-7Xr9OXeOMNkJ<)w~! z|5C1_p%^n88^5cuUC9!5-fCE9nG#9+eX6^bgYGPF@pI3=%_5o!ogxjBm6z3$I?PEd zCGYeii8Z$flV-}ZAS~6~&Um&}xRXcO&T`G?eu4rj)=l??7{){-tcS)^Dkz ztiN^A_&uNUo{#^X7Yx(^978Vvo~=^sP)p;fmBC7*C`+F`B-;u_ z-T+!B!VCupUmyjJH)hm-+O{vv1%BxRp9x8WPPQ8$9bj6mha-nPDo{?bS~bZ1ssJ4+ zHo|&l!LSKc(W;?JAfI|6> z`vg-gN1I4N_xXu;r^tHhZcyyH6)=BB-ON#F&6()esVLpw!9#ObEw!0&AK=O? zq>wD2(_;^;2y!P*P!j|n5tM7so^{|wUg#=CP}9+6Mb+ z%+Uy09ic(u*YiWwqBULrR1}clBk**^M(2KXFV4?veD%4m62WF4UIRf35~Ja4gEvz} z1ha?9CDn2xEv*7TXMl0s(4h3ajRX_uZ`soIK5fXod7J2^@a7@h3*OT^1Z*G60oic6 zX!=AGhW&@eT}y3t-RxamUBFj2j~%Mh+(@x;!-m(co~FZ{v7)FpttU5~1MubWi9*Xj37yF#VidLGXQ&u>9@0}V zjjonaeDgSaM5*68(dBY19|RnimN)Bs7_DYb)-1UeHOI)Mxs53IgoHLjNzR-Imn}{4 zt%b$KUEq-5_bx*x9`Cr&{oSP_v#$QHJkbCBg{?L=0N1WvFRq*WH!UitgdW9S0&w4h z)QKsvxxWon7T@adcY*A7(|V+*3i|9Y0mdsAo@S0tOXmH%l_ggFL(w@c>oN0&4CffS zhn(DFF^PpDB#jBCO0s$T`7LmTz~* zS$qihJ^~@kS!^&GF|l0Nu;x*2uyj0(Tes@c&S`B2Z;v>nn4lqmk{n#jJ>=ZzK)aI= zYbYm?PzQyC?4dooR%7iuLb$;v>Ro312FT4`y%ro{e6E3+{dn@pLfnZdoWf~zH?P1J z)4R$9T1|B2zB1gzLx5KZlA1;5TTy+S$(|N&DzHgjn)uM#np?e|xn)X{kFRb(zd-~n zJy$T2x4Q-3(qACz9=Gor>d1dxnMM3I+}w#!4}wrYwxH!ElH}f%&2-~z^Bh9-ZKDid zFR$6X1(6#$_h@n`fd#pA-H8hXA*D9M8 zc!6e#j#`+oh~~g3os6PD2G4tiYWK&7uW-RF?5L#rljnBkCC5)>wCex- zHZWJH9!iX1696l};h|?*IEl@+l>oy9_nzSSX9ex!D3ME3IypIU{viV~#zda7Rx?_B zv37E_Q5%pIbj-gN^{4Btu>B1_$O;(NRg&6Dv;Lgn3gL&HRs(ZUOF+9r{o?BwFXntl zUHvL%fwFnyJP=j2a9#8?F?^m!*E46tZY3obKjiTfk!VebWfGZCG zt^>{8-O5iVP&itL2Uv4}ZF&pDcz59mtM`B7DzFI1PXB|e2}PoEAK)M6z{saImqW^n zgggG~1!H3l)Z2ncuZz&<@$XR?{vNG!%J4+vp!>qbG&lkF!qOKJA5Uo><}DQ)r^yqt zK3@{W>IXT*Bq1b_u*I|K0tO~%7L+Kc$7Nxml$I`SbBIh$XL!!pYICZ;Ut=yP3BVy! zV;bEdQ!cZLtqdZb$V@BY1s+~<(=V253C)gWv9|l9_ZpbNV+p5?xJ55mR)PBv9bVIZ z-WaD;YlrkD4sl=()ejXmAQp2jfe3rEB#md(KeB_ zl$0k!pCncT5C!rdZ#i&tv-&^+gd)VZkH-4cFc#y4$og%+L6yNBC-^;5=>c{p9VcFv zR3FsQ+*pznc)O@Id1O*^JDtY?tuSfz5J5GM4(i#-lo|B;qPn~41`w@Ygu|^;QLdXZ zlEJj}p{lL~+v05rP!-yPn~*|~=Yv)B;r2{jeSJ>2RwG*+=G3G_A4{2@8LemLSq70B z-?LN3eKhnHElQFbd3lFxqa~P$`~ba)k~%vHrvg9|tz_RoiZ(f%nn7NsP=qq$8xyW( z)kK*Jqr%ja=KU0(3k(WhEWgu}P|@txcIwc;H9rz;h$ix;rX=V?RWrK998{GNP!P-@ z&+?(vMbGEn0PDtza#D~{T*mML$m3{H%53fYM0hFIfJCL@LRy&J89NKF{x}V3f&YMI z?Ok0%RETXq({sfG)F7ao4SD#Gi*;j0j^xp!+m{SV(Qt);sZf!ka^)iGSO^>2+;@os z%7L3+24gdlqPl?Mtx6iKs{ypesM>(4YX;pPlz#jH%A>j9p?Q=}gRPBvzLatW<>mJC z@9r_M{erG#eqkXFXfyl_#BK%fNdVOiyrU&pcxSm8HLrIEjpRI=(tn5a8u;(aZH%rU z0{tyDi`5J||DyXuOOu<+eDrX4f#ZIhBInHH(~UB!5DNmau_$hQvYAI?W=>ia2NL>j zhb};Hm!f>Cf4sP;C}l_J*fn}x^U*k;6a8%5wd{#v4pL1-^jnz)Dg;mE)nu14#8Q6ZFnF3}P}0_D1AE${tiWCgYG!G{kF4e`)idVNj${KJ?S zSWw}$Q%hKX%W>Paw8UXo_huz|c7Kr%>^#-sNm66pznwMXbt^7Gfi`kGC;5T?ZXSAR; zhRhd=ratUSBDV*^9RT#)-_`3Y2BC2q$3u8~*k$VJ!~*iN9G93pNQtntIRFVjl7i&( z7E<>*A=~$_GDarXHMz%F4xZ2a=Qtm`h;sI}dNQM{RnpSt;{ZRbi%3stcc@$9Ee{q= ztOjU%&{frF!N52mdm3uMCzZn12XzlX#A_wc50x25SPdwc)E%!>t<(o01VwsM zSS3!?@3ss=DQ*wCMhb$xRib&ugQzIN(m_Vv0|`ITkEI*rb7j$^>Vi6vX4RHNYddtJ zd1;{Uq7QBhJOne2%kr9+_wiHB{d0bfv7B3tzDnyLMfIyCti^K4+ay}Mcomgf67 zKy>L$aXP-%v2&CaY<>`b@6Om-DDLBx919C?rN4k?527&LCK(M#8(+SB$y-Rn24NdF z$C?|JL7Q_l(&wKhCf+R}1CX{0|ISagyoZB5c^(~SjvMHQa1=ExA2W%4Ut!f@C?#%H5TQK z8#j2n^)O+GaU;9bJxo>d8)yWPfqp6$U0ASGt<~@iG&n(%o}{RXjxTpAw|{P7-Ornv z{`jeZQ@=^jrK14m4j}XH-^=KT&HYvMB$0a&m7Sv42xyZExX2Y7Yq$4AnM#2qa2Wg~ z%Scgx%!0%crq%*5yu?6@cM7cUHcUP!vsu%+M#1I)d#8>W*&?Z>pV*}%!b*p_*=$nv zB`P1%-QMS;djEN_OfY?TA$cPf7l85MQ0|~8-dEH?uqD7zYrxDiHvdpLx+M~L{fU_) zA|lPh9(@E4hYG7Z7HVIYIdHQe}#1rZD>Bi%PRN5 zKtn?#AS?u(CDnXmM65$A7uuJ6w&|zQ)mhuH^u)$;sI`kyKv`#umM8I79dvcKVG7kv zU{w{Zt;|R^iFpQ12)tU4J*y3Ck4sCVMUqa;RisTl7X96lzC`etLq3iW%Z9?xY2+k`4t%RM;r8%` z+>|;7T?vBF_I-L!?`4ooG2-qLr^BH1b)cX3gCT3C>tW^S;fxIdxD&84eBWl-m z51T6i)qeaGFEn3>ar}B2&;i2`Q#YfHEGAS??Q9hk_f{G>pD+E~t$~V%nOwnTOujKe zmfcS12BKo|aMm_3xFpCXruuq}eU;^YsXE#7k5)0Lc|b{$+a`D;)gFNOsc_a2bP*(@ zx$hKMojG~39I6JASH&ZvgE|qvxp{cX@FXW;=(!ULPsb-T&+eT@w9N!gAJ^NDzd%GW zgu6k-0CPSk{G6oCR#IjO@>?v^^c;y_X!#e5j|A;XgqW6=JSBft-25ryAUCA;)E;{{ z2e6N5a6k$}QJ@CxDIUU|cNXi78)Pm9goSB`bc=m2fH&w0l3Hj7Vxe1i{1O#e_(QpJy$4 zwfVus0W|~=@W;}gY!KSyIBz1nZV&WPj4GHm%-H2IXV{SMhGmag=5**Sh11au${=Ex zA(9mC_wVp3u<9?x@}+M_`HWL%^nUH2t)y@5)Qk471TpeiKBi`KwhOElFM!gBm!`W?r* z(bOpZBk77jQa-?0CT$2uJ@E6P8_pZ3(Bb9>ImkR3eE^9RjRAYjddt~C6zu?1Ra4I*II{T49^FwXz zTZ95=QhNWf{Gv|z7cerg2tf{DFltbJNOJK?a2)gz6f)Wul0WtS>D9^g4Rp~5XCFjF zSY8>eudP*p#gT9|Koc~CORIB`n{nGV z0rXTkntc%Vy8>khat6fR*I&f23-{CT=Dcg0RL#TW{Gd11K@oDGHde)+q^~*OWr=`m^qouvgJ~gMczeP`M_!i$u>s9+t zWyrjU^;TSEcFJ3ZWAQ?S$JC;-*04>|( zCvuZtylCF()Def5dk#7TAr{&xXGt<_ye`0h3GWdU{AYkOKE<_d=-V0-H&r?K4 zhlN84(euZD>|^|9pRZwP*xB!Y8JOlyEgOJ`LoG8;&-TXt+U`^=NKX;F4_Lk2$<|+r zX!r*PywtXEG$+V^03_gN^m2AUOUv~!58F@g|hzNKkuK4w>_Bqmj4Qvu=?(cOb zV`aiux(PIjrk)Ok)O<4iQnI?|Gjs@4x25gl1 z^DsL4MHQQyGHT^wBq&UhxmaGUm}1Q_)THu~7;a1t3t~Dk)~&IQ4x}Keu(&lrlCZ5P z$k50r9c^i6*YM4jFBv*c|Fto=FbN}7RsfFo?hzR<)g2Fu{H_6QW*iAcnPUP+f?qZdZS z;=5xn39tyGoW(@e*#yJNK=KxL zcJ-4HWPjWch5JKcHa`Df0P ze#32r;D-<6u{(}lis7uh$ku@&c&@*Po@<^v$L?+eyC-R}eT)8kQ%lP*e6=)RpFe&6 z+_$aa}Gwp`ss?*2dUOlmu2-BV{Q^fpKn(I0uOG zsMN)K{gRZw#pMJkKHUL(FpS2nhVO%CaAGt;J3>0zkpa4B8jd6`4B5ce7R_4?7ENd~ zRp3~@dGzhRqeqvEByI8`SzfO4Tsjukz8LdoA!etR$wKL$Md|FEoNFUJvoO}thboK( zxKL0mmq8{+`r8iT-Kax5cwGA=q`>#ZjWEBHbZI?0`F4xRIKsLIQ6vy4aA4K0jMh|i zWl|uWSH8U58+-zkzRPjHJ&`Dt@d+AC#bV^~O3(%dvX53~o=f{ko>)SA zVgud#rsq|7W zJ+{#;zeVpDTt^!kj+2miz`v`bgACO>cIg-Z5ZEIU?A*U?_ZVAxiY=|FsYzPZf(~K% zRZ?b5O1kSa3G6<_t<0Xj(ESi)c>y}ckwJs&R^K!>yMG*;a^~4V51zg{w7=uyYd&?b zn9=@c^NNI{#_B%?(Bz@NuPRCt^yRtZC-%g2QUXQsQKXxCSUxCXp2~1=;MtNZGE_Ri z+!itEb_9^F^BjjN*E~6* zoaPxeU3Wo>*l{EE#Lt7ztG9Ufu#>IE`Y->Dr#<5TgD!>#)W^a2ews&vLPbM)G zO|(-guFz3>@fXj0=I{I|VVJcg=8SvamLGezbvDpd9WTN7f@>^y?_9gw{@|c{?}jo} zWxLun6oUt^|89)2dLP88helCo!_FI4vo%xwPMI-P=+RP;zzI?(^bpN3XEU&XbeYDD zq-1AfOwE3sBTC|qtMmS|5vI)}uJkJB>q4IHcrGo{jm+d=>Dbug(2_ z^RUoRi~_PGVNLFr5BBKA*SabyDi}sVU$WBuXSthnk!ACkQEP5)M$2dKN3X;plwau_ zzz?*N7Wgqs-}f>6kasFQL^0!toVXdR{>eksDoV$VK?k z=aD(6FnzS5b#Vettfc(>BR|6%FNxOJ=BAL3hphjNR@NY=fu)oMsaY@uy`A04P9Z-bVmq*T7Ljxsl|J`rL z#$yxV&pmdc-BK%*Vr0TrP<1;Qm#4$g3$sECwymb2;m$N2=(@RV{a5BZ|7fGZ*C({H zyDB0qj7bW+t#ZogNV~_0tSb_x|4a&pmy7hK zkJfSxsFWmDv^~)@rY$WkDbJqmNo#xY;le{S8rRa&dM+DH8j53Cw_vblJlm=N!`@#; zRn@L-!0@sF5v4=ABn1WO77*#~R7&aYR77bM1O%kJL0EK%f(VF!lz@Opmvo2kIlcF@ z_a4um@7MSKc*nDbj{62#tU0fFU1uKWaR8meV@T({q5AeAO6ltmH+~Ovhuz@FE->Hw;u5(Lmv{*7KdxO4meTs9<_!=Vm{jpwk zd5y^1L1=0lg*v*@Fi}c#@)J|P)-eMSGDC=30o@ndyKp7-;0TbG zF+!RTU`|Am4$)7j0)Z&_CkYa#X$1nqG+^V3Y1!7g&MOrXc00-D|<3le9%M=2&!%t5nVo3a& z=$A}NMC3a5Ti36ev1xD22C)QBZ@9n*LrA9u11VYkWZcC=)j0x0g4$Wu*PzP7uc*EesG&ZFc+MNkTUcm6rG%MM&XjeiQdhJ)L^;$=`g zM!4G{&jIe+m;H}5VeS>gS#z(kx3#@fT6+?OsGvdZHlbtY)u^pD{42l!D4gnz`cn># zR8`XfX$Ts7dPdh6+rSBetA%Ai1H=SbHpoQs#>U2;YHa~=I)L3kIQm4HeGldsmw}@h z3DXM@P97>35)u+?C=>vsW_5LylSBNG(D+PNYO%?Lk)>$`XX@HIVYe4fTT$t17Qh}U ztNjE|TQAFjB%$GFSHu$5GN&Bo7GHcrlApl9DzW={ZeBWr-gcmpOCjxFd7i!Zz7xzs62t7~c!HIh_9uMCP6 z>_8U}@e}esT>p)r{1J40Lo>2+AWHFfjp16MeJuAxLP9J}1$+t&Tag1~8r%`Vu5ric ziI}=A1Ry%s$G-X!VMx3g;NR$AW1n#jN=r^4J@KH$3+Y}by8_)Xgl;+)a6byhWjb&! z{98=yYYe~v!qfpc3IGitntrbVw)B?$DAtbuF$+10sya%g;(g%BS2%xLXBvml(xoW-S{ev zSmVg?EXLQom!}WSPS$X*y6**7yn_-K#PoEzLxY2^K0f25 z(U-HopK_8u)%_B*yllg$3H*|H$Lv_~e*mv4?gcL+l zz{wj6D*w%2&P#Ghkm7~4CIY8x5sbGX{N9BH1^qCO%L`cS>o^$1L`07vI-#O&gM0xB zowsJuFx2`CXUhN1mg^(qbWxW#vizJ3N{?Vthi(n@YF6}4uwRYOxi_F87NJ(UrB2a1 zIN*ia!F*=wNVg)-f`O`ks)~cBr(-{MK|r|Ju z&W4&q%FqE+GGOOYU5kZG9}fREx8ftarE5h)bk0|ry2;>Fc1-ufz4^Pjdetw9F zk0+^K$G{WEv4dCB1Xg+(Opdh%&=eKp910uH&d*)?Lxpwm*Ou^ki2#?QY7t~l+K*q2 zWybu|b9M!VC-?cRoa=1w1%~jkBnss{uyi~bcI4+&cZ)hnjOoB3iXVk~AN>4x?EhRL z@?Sg;s2cs(i}v^bz6&~{3;*@+fwfYwsQ>kHdZ7xU#Q%Byx&|x!U#~VQaMAzu3K4#0 z`d?qd1t>O6Am4cF^Main*tEPGuA@*pg&*fuanGUN*KIqs<3}MPF-K&uefa&LvG(>m z3dM;9M-`SSCi{}d6ms`{w}Mx3Te{BhP^h-yr4I5M|J^@M#ph6{z7DdnvFKrxv;_}& z5HlZmAtx`>O4xosTP{42F!aBVT6BPB0R+-R<2?em0DlP^z71K=+?G|`QPT6MKH;P8 zisx;caNo7J)mSkWpF&akXJ`+AoqXze7qp$7ogMhkq3{?Gbqu66ba;9;Y2PIXH^T#X zlu3IGRC@F>?y=NfFx*+{nPV}XQzKj%r=e!px%!`w4z1`g^C6{ds{m98A=rCp7il=~ z&%EVM?r}2cyo$o3*lZRzH^D+ltcUHJT@9VNib6R~(-U2A#b@UGuhldZ_}@>H%%=f9 z=|3-tV*LNLOaK4=eE;_){lC7!{_g_*Zw3Bu1^#aZ{y($=u2ShGN`Iq-zs^^J`QP^@ z!LO-_CWt_ce&7|7eJd7vmcN+D*r+2yJAUw_`$@oz^G$oXB>T|I7yQ%*g0Kn4BR{V&e^=Zct> z%LoRd{`Iz+|GZ84t?`Xqs(*c)!+$=G>aq3ibFEOTn!OalLVL%w1(Lrm42k6a<;Ywg zNa?xh#=UV@Qf@h`$_e||@5cPk?`9Dy{Lg3d|Ns6zR=xUvu4Vl{J`vwFM_y65@NbMH zG4-F==WAaI8`oMs$=}$>4~Z)Oc?n2)6t-1m>Hodb9gcs;IzM?HY5dm*(EfXE^8}Os z>lb1E`xhPLrD}#+-T&8WQv7>0-;3LQ_utbp9pe=|JsPn5*OfWk*>%6*9n?$na-8Dj zIN?k2jj~wvfOI8$hjdbdzwz28Lo17(qRe%i=Ra-uiqvv1W);u(jhsU*UP(g4yIp$W zvJDz`pNa9?y#$oE8Mi2MLlXP#ZY-Z@9&3aTFxT+YM&F`MYf&oUY@sYMPRaKudN;-?vBGzY%4eU;7(kyDAw5o1VAJ zle}GG-=c5iKg92a&ijxN>t>%~yOCcpRCM9Kfp0E8cBdoa+ZehQD%?f19l2k4 zie#=TYb#r3#t;&kS2D4*$J1(@r@M}Ne>n4a(`Gnl6o2Y?d#Wfiiht$XYREBrS#;^& z06Cri`WWYivYp>qV3NL{we4m>!B7#L5Fy8^d&lg_S$n4xSO-HS8wz&k&`VFxjv%s= zg4LC|PN?{U@lv3`>sQvp`K_$viD|`|4_UjEE7@*zW>=ZtG2%Rj@*Y|hu95azFYD%f zL~{wbY`?xsdaO)+!@2X?X_O^mTEhb9<8-O@)e;>qEt`&+OTJq^6I;iI*q#&E2Tj;j zhhH^{&Y>iFZ?Mp{-ZXovcR4;=;}5@H?EwzTDZ9C|sN{GV?Pk)%$SORM`3v7&iKA<< zk23k2#us@dZneArir*#jIP+B_Mo3kavhKSnQOB)0sE*!`9CQ2JzvKy~1^eK~R(;Z( zb-^pHR{BcbdrXx|moHm#W}innKEb-^i+v!nhk<9Jz&|%WLNw&q@7oZq+h}sRH+(k3!)Us=P4OHxwJ<@vizKTRGh5 zlBuBeP^m~vcR5upMFpmJ)VK*a+0ToTzaH1A@w*ynpgzm^pn zrX6*|!x&o)UnN-y&P=TK2?-*I#-aC4c ziw{@PS6V7l-Npo?yPxby<)6%|orQNEeBJE+)NYMI(a@ECV`{dQIeeeq3@? ziWb=?T2@xByU+PrqI7gRF|j`8R6W)TH#)dlWT@Hj8#L`n;1HwbCY@XR=zqkBMGU z%_4}wa5@K1#{a`Y@xWle<%Cc7%^Uhy?dRVI=T@{A`N64F9nCzwZ{XVawcv=UjFLm_ z@WOHl-==;7T$rGK1dj=uTP8cZw-NmMlRn3b*>X~vbw#>aOG{@#7{o5(ig1QIv`flEWm3r^xJSmCnlgYz$<>+FOK`ReA z47m&6IFfjTj7AdXtv&6XYm^D}jqGpScq34OtZksc2z6B5uU|Kt>X&Ny)(X|MN))I~ zcHVLADj9PaI7wU)6Vy#>pw~&O}9}qjsmmWhl68dg#dm;x*pZl+JNk6 zoff5z2G-snV_U9Y?Ppp2AGNM{xUC=E_%#I;FPNktFyusFMbQ4&yGasBBW?_B4)_CA zTqtbFD=TZmsHyBr#2rcWrX;8;N>%Dm)ab16mnC#Btko5>^WS zb2wbtI7W-h{N3|Q$ya{1YRKwQ3oK;3Ns_5C{^Jv8JgGZsMQbUMq?bd8vDlr~weGAVhpaKG ziXtv8lZJz`NW9riF<{KuPz%j@Nl1X$&&?%{QaO#}D|KPxxzM*S&ie(9uW3X3_4dVW z0BBl4<%f-(ePxH~4$6=P&@Gx;S~*b7eK`U(X+-$m3dGnDF-Z6xpqzlWBxlx~jR0Ae z2{&aaI8yda<-hZd0~!iHP7~m$pGhRo_mUNlYG61&`0EH4U-ga z?_%b)hO;JeUi5+MHt(e_n#ZyI4}LZh3H17krCD2B0|2Z9rV>_w)KXJVFR`mRU?|CJ%INYTONl2Q7K6f0S$bZ6}>4p8dqMC)EC?4&+z$ETPN#(_;qqKF zzn0{UXfICqUA49iolJ=VAW2fD@O-ptD{blrjIRkvN#w}(2lOg5sRn=*Vz(8OX2-n} zm9By)?IK7Kn3lAG>NIGZYJ=XoA`@W;C)~FL(E=mUK;P<+MgZ$N51yF{cR`ha!c?vI zo0#GXVMk`7f&CjvSGzhD2Y;?g6JJ#rYX7*#ogDE_kMMPxoyI+_qQ*16I30A?f`f(y zTB8A1P*ZPabu;q!%?3SmRMf5K3_r5f+?84wh0U9eemcfZes|9#H6Ui=WxdO9q}5mA z_Q$+QA!;DLV5?9YU3*e!<=Wj(Fm<=sQUDK?*gsGD@eMb zys&$z%5;XS&5V}iQhO#%4#nX|I;L&>^`*YS)x#4A5bI4e`8bg zr{z}*LGQ)5Akkxj(};H4z65bzX+oLo;4fttvochIO>KuS_9P|^%&c{W3e^lZd8ixg z53l^(jK8L^W)kwt%INbu1BS2LDVP+O;f@1oD?9TkEEjAZ)Zgo#63H|}m*#(rUvn6A z_@kcTV62h8>dL-QD1qZ8LXA)W0R7Il^?*MJ1+zbs%p#B7m+L!qNt=BNc z0s{vR{bZuGG|@7C4v(WEEpX^SaJz9bKs4eXi%PzCG>V91gMfL4$;mHLL}Zl*7;X?e z7j%{5dp>PpAr>XviY0ewZN#J|W$?;Ml)J!>_paecXalP^_p>prv$K3Lc?4&q>ayNM z>i(X2C1g+1Y4xt@#)bjX0e<`0jm=+IJaxZdT`}f7T@eArYxB-cMid8?p(J z-8fg;+A7~F79npOF%*-HZg!V7m@Eqqe}J=c9-0>GmMYgFAd>rYyx>eFx)h;Lyit;Z zey104bfk4jUS-L6|1Ii6ogpW(Fkr_9VD3E+!99px`v@FttT%1|%HvLw^vFvjvmG^XMxjhheQMfVW{JB~@KRLl1H+RNs30O`@4ij4G=~k*U5-jUT6- z@01*ky#=XquH*|_{!BNxri(9d<#l&fEzkE7FM6gZSkUmge{br6rA0E9-5f9SxL%Ei z6BhC>nWE%JVr*XQyK8s{i;fnr`#yYj-tOCGt31m<-IfXQOL1a z?+MH30)Mp@`+$A_iOMx?XVcaC<4Z?`X}x*iV60(_dQ#ziFDzp8Etb3bAzY$)8rHJcenk>tli3~fb8ffp8HqD zTWXutFWf0U+Ijtio4If8Rv$8pJ_tCIoi;+1MIaday>|d03>ch;Zfguc77+IX9JL^{ z8(Me^^-I#{u_f@#w2mOmK0vx`1Pw~?vjec_U}`ZPnwfPIMlGCZ7*Ff zn~;>PNQQUkiOxlpdudPJ6<>!7jRB7_5aac6x0@JK%ZdJ|;-f}DLEpuNu&h)&df`p4Z<8&l2D=^#E1dEl}|b!=^+XMFK|32DEFAY66b=<-P$5 zy$le2G*B%DPlg(gf_^ZAWrNxK` zX@t7Fx99cQ(5!D3JZ#pTF0Rp{talUL!%Gj_X#L!+qrT)GczMr`@{0|J)_+zRWF*VE z%&?l|aW9n#h?R#ZjYa1xZ(P{jS;js*PwLDpzq#{XrMdkcey<$rEdka=z@g$Jt^7WiMaYM+i!<5=fKkcGML-;6 z1@0b(#Nu;R(!L&Hq)$P6O<@~A*!(RSBe zJU%UjY;!l#f)^hw7yI~np8`eH^7u$}$Zex!ZuOgmZf}j!W+xurmJPMcQoM|z_eG{o z?&rbda{;pf|6ZfuNEo+i)0ToZ0u(?HhL!wY%wl}&R! zN1Hkw)?06O${((FT3Y1jWlr8)QjFOhY}`3)X#TSEiQ9wk>wH7vpE^Sd9E{Oo8K{M{ z{@yn<4oJhQN7wXQD!uF`T)eXeext%|=?%_=>(Fh{&AhGr1!Bx-^l}|Mv6@mU>Ixs7 z^cEMP6a=)4Kn|OLEpN-S-aX15);KK%dsva)s86L0{F09pR~4-MHeM~`vOG-OR4c6$50V!zRKAm7kclXHS)On^PTWRTs z=|SRUsWCfO`dHWc^OO&0S^HPF+p4-J-MesyAWocCZO=Rw!;-P^*E0>Ve@Y}aTlv-f z40(Cm!t;CC7w4{G;igdL+s2QKFa_Nue`Bu}Kaq*=)%lJ&`E`={a0PjS@?e8o@o-KO zhDU-}k?`;4hgHuPm|mc}*BvyZ!gUf0=Bdj%%wFU^Q~J1aWl_RHAv%|Wozp?$mV*E} z7ZHP85I5mRNiIEimp10-;|T>%mPnxB##{QH(m_1_~Bf2z$ka$#t^DJgMF)7QkDG6`?1QGI-Z|a zUMU`cVpE~O^y=0Iu~tdzZ#1{MVwWuX@#ps%b~njhXNM6gQ;P9 zGIDpFuySa2XQ?KjK(&b7+2f*vZPD=ehXwx_^){7z_tNu#)TRK&ik5+SxEXwZJ&!Ut zMS!>=;1CYu#y5qxQGH6t6bVe~?ZP!Tj_p#neB zal${5j_r=dP%42zcS~xx#%F!%Gc@LuuGV2=MD^SkDG2SK*=c^SviJRI1VtcnUV(cf zar4%{7I|*yeN2;_FqrNe^H8=Pf3aH_H63}#Xmc>1J~TIS)@2Em**+byfo-=#of;La zV=?CCAN8A0JbXmfbeCAtV`Hu2u03z&+kbag|6qyk;gro@ioxq-tD%wkYeU2{m6G+D z)^5jD6~!{REzY0Xh{i2S^HwBpwj_%R-n}QaR{u^wK_i^oT;;cbxt8%zW{J-V`uBu2 zJi@M(@J8*(E|vawH)cNOqPHJpH6QDG*2woi|MS~y-9{x?DyWiRceFsT-qbhVnfv2~ zyRf{I$N6{5Y>Nk9#VXeioJY|{8M=6tUel~zEHhA%ndlJTO~8&Mds|!~rOwcdyTc54 zF<@jKywfX^1w)r^1wx7tKLb5nE>P$_24Zu_b_w_&o=e9B1(Fg3E{Ql8pa?=c&&g|P zYUWp0SAX2p*VlIiyt|iNBfzdU zRbNf}OUZ9X9FyIE=&?<#8nzzwR;69N*_mw9**@Faajl$^a#~VKbI7?w(h;514ibgn zpqQ$SJ5sLg?RqJkA0flA`Vhj?R9T~}@@LMBN@()i+Hbp?Oj)HjzkcH{Wm~*`Tb1Wa zY34)s62FCKsmCiFTvtE6EzRvOvGbwW*%`yW+F6|v+q)PZQ~aukTrQ?}YIj-0ij|3@ z&b~I6Bsd{M>0Q$6B%#e-%AG&+KXG(f{w-cg*;+RYv(dOmy zE-`D7ys6&DuQ{(L<~kUPDqafuz|Ms3t}@{9*^+<lp6)U2BQ{C?l2 z5?qQHYqzN!C?g%A8k#VnE|Io5zfiweqic% zjt{p{cxEuOJ%B)+VPaqf8CgP*y^DQxf+??PG;Q}`@@^5_Wgh|@g-DZ?y=dD;9UjH| z;7^`>3{?5H{e?YRYEvq5ihVlsI7=I!=#LW2(DqtGb@a{rY~uG67NUU-(W02d&pTht zORoA8j$HpsTX1hZY7KsZ3C`R%kG_&#X&_P-m>A4d^jioI?h+5j>&(d-a68^*5GqOU z|6Qr!Qnd(H9Q}64n)21uRPLBew3x`Z?5Q&0Op_9k{G;5chO$t8jZc=+eq|Y*BXdh% zlH)13c1HcE)tI}Ie!!n6KJQ0 zy#d3(f6_n{0=%1nkPN|87We5qe@j2iuymp6Q3CgopnuA5f2nREb%1xoFbnLMdwtIY z47DS}M4~`yUYMV+YCxgo1c3~mNxdI`S^M0;7JroV8XvfKzzN^K!`V4ck15$$TdEG* zU7|DeRT1Xgqj4lSe3UnzKeRURB#UEg-zgTUF-xZyL~@7?@%v=DXMOv+wp-Lb7Ym~; zne8lDt$2H09Ki1T{9@2f`}H6#o-fo+jY2Q(LnrR$WtmZe$gWN-4i0_T?PVssisAuI zE&3Dv4Wz;YV1BN;OARb<6^+hm6b;-m$W(JrX8jeLpO%u8RkJ_1w7x##cIc8RsJ8xX zQz&8bEM0kJvPfIQX5<3xCT%P2Rq8kSy|2yh`%bOk<`4Jp7K&UEOQhLtg3n(6ZG&~V z>QeD#*VQPb-Gd^=Y(Pl|_X-7aF1gY8~$S|Z-06;HfU@GfR@1$P`zt(O5>JN`nER)?plZS%Bb&GBpHHqh8 zne<|8SX%>_PSXtZ^aA)qnD&}K6lpM}?(tz+V9DwQbJy=HkMjsGtw)P#nqt^l#pa$i zn%pvpak2k>IJxs9IoYRWpR&%--tDlyUI-z$0!XVTOk}=#`9N$}7?C@ERcY-Go_h&9 zS*87kwCArU6~hj1)ECfek6B|fMVz+Z(^e)={$V7(LXr349JzhfAGfdu-b`Z|f!wRTI*SaQUm2>v`Qnld$HoZ*+7zo0GER z&oW3Vh7j#Xg-N)U51RWtzj17~(TTmPjGm0jvEv&a$*Pi%G+UUH?N$4!{^b1TLu%Qm z*o=V8==Sj6xDlakOA+LQg{2&!7CliS*$cyZN}ew6{>JvV^%w6*KDh!VX1rzQ)~bqE zvLPE)-}$%YHTm))j+yx%e#8>Hp=GV9xuP2Fjb%ulJ0<9u+coQAUnJ&Hax7_MJAQDt zHL}wB({N%2N%meW}sEg@0w^=Ygzj zd;IG`s*rJ% zQ3pk?!}Y;59YH-(nNzZBE4Y$|Uy_`<<9C z)eBMhbl(H&PYM~v4GXH|gB)t+O&3f8nAr^3@;_E*<llv@jvWpw z57QhhB1xuBQp1~=yE6C(KTaqGQXE~R&6{06d^`TG*QmR>k9>Td4JCQf{+Uxp=nxZ zA-JR`gA>Gr7{PCvn0X{{GTyga$56wG5iBb(%X%4a6duDC*?z?FLf%oM1;r@iIV#9a zf7}i1)bKPnV4`!>P?;8w7Bqa2iQrVdgt4~YT5`2s6fGg5n-7IvKxsU zbv>gqn4Z3W@7^V(J^|A(n38m5yM)LQb+OS_|57?*!NQ_rP}0(zAb!Mrw8fZMte%gf zTR(sP(^Z^Li|3wf>=U$hOFeedC$;fz_sLRthUx!ZBQTQno@&0ngL&*C-eq{(oAwxk z%(nRp@v-z@7g#q|GE5aIC@j<`IrN|BKe)_|oy1okQqfGEj7yZr*k)*DCeI~#;RlzM z=Nr9=o{>vNF6t4YBB%Y=U!X>{ODjv1BPT@oexS}p&XjLkFYRcrO%w``8H z-}GRH7e_tY>shZOyYt@nHG6?BmV-)-rBcZ~WNXvWt3H)u_^{DlHcCSHU`U7o?k~h^ z|Au1~*>ZV=3Z62f9y7&rlwhb@hQ`K&!8rTl<2## z<#JOE?aI8kZ_5$i{Z5ucd0;g;h6e2#Zo=-BveG(OQ)LyKd}9&s`HR!}Npv3G!!y&J zh~1~k4q}-q1_Re44xAh^hP>+}qqnTPRYI=>H?qJz4XPq;X!Y5Pb?H5}%Rv(tKVME?cuvg)# zE!BT~L1RAu)R7STwu>YWiLVn0d5PDr(pIb!_k1#yAH)uPrwp$u8-N7PvL`7Rs2B(4 zoq^*VAMKS4dWgsBlR^+5Uc35-D?jQY5+{arR^ zc_sOP|Uh zH(4=I^iO{z5}5_5+ewJt{PUily#Ebe#y7I`Z)A=vB?K*$H=C_9V|d%+loZIF{#m&3 zxF7d8H+G3y71*RlSX3CF`Ou5~xBzy0?U$*%74be5Job0RI*t5C?wg;cE93L@PG-z6 z<^CXgf+ya+;3oZ*g_#)>=!Wa8B^5z84HEG{&;qFr-}Z*>QV(ToIvyS(C_M@QIoP?N z)~%0{P^m#k@e%DgL?Gk*xx7e(m5qMkTXr@W;V!!y2?2Bj@F? z>vGs;;|t4IJOzJDT!e4|n0n5U4fc>urrKMc+Unv4_|kr^sx6(z#x3`y6Q(b>$ddXj z@*}Cywyx2Nf3C>djimd6c_vfM&~+*SjdM9;ThTr#ts!rJJBnte4b+oWmd zR7D0BqX#o=BcSFJVyp0=m{9@3f-p4NKJOeF8j2_zF)1ar`Kw6JW&`zb1Sm>jK!xKI zkZGp(>!u1FA(~u3`&|L~E>ISZ3(6zQl4;{IlucIhHDn4mLAL~V3;&_6${+2kVL~JU zi4-C?Bx|t^e{x#OriNk1(-z4F@BGkDUe{WQ5b!pR%37H7oE;|nA6i4uE4xyH4t;%@KXFOzG_Kj)fanf)rPM%jeTgW*xU$Xttm$r^a~5d zF;LCMlHfmroh}4%7_*ElN2uoSKwe=8tma(35NR2{sFbi)45T{-hV#R z)^43&5<%j!+DHiznIJ89=CGQPQ6xfrljgUV*fR$Rif3Ru@PJQr22D$!d5s=)4T0)a z5Yb=&VT;b?5H3We4N^*E)qoOz(ZM{I52i}JMO&wVR~BH(&eZzB@r%nBE6OZqMtCTSz+EukleisQb};{ z*S+^vJN=cV2U`&h6R0RiC@Ed_|8wd=h7(^ldIqE(SXZyMLlqbigYl;UigA3khDY1O zS@LEQU92no79F_P=2^I0wH~=xgTYfZaqu3{o1cEJb{a%$YbvRrUPYR1n$doyZ8Rd3 zWu~j38geym%s1^t11jUp^x{znxGB3WJ|osPm5AEg+xSwYM6(P}TfX?p?tuqK%SX9R zN5F9y8{05G1Gn*IZ?xpTd^uOnXH!WWl&9=l2YFW5_sf*_6a?5dkBpe_6soDWOS?HM zL)-WR&@|a{4wM-11F6!}%aAcpy=iF?7yEPKf=HFmSNOxU?E#GO0=a2V=^+8!8a|qz zFV^(iI~!HD5&dEp!ukigDlL4M;mm`l5BI_jcN?&elI|6_p8b2+;b}uX4`aj+aiMRf zO|TkuasJkk$$eYV^>2R(E#k;j(zy5$Hcng3$edpFJHPpz%IOUsAGX;M=0k~?TlM#R zMt!5b6wiZ=z#*uZoA@@A^RS*t{RpJg~zTY%nt0U6VDbgSki;(Go|3%m@NfH2i)e6 z=x5zek0vuFpu=$AMhggGqrk!)Jal+6!0(l3yBbwXRC;?QE*yHPrp;b&2a+qWC?Jc^t;&{-AHF^Rmuo4y|93&Aa$q zH=PKvH`-F1La<_Jcb`%Yxe3+Q)u)?e^8Y5Iwsfk07x7eRRX}^J*qzei$NLAB2MTPw zDMGBDjQvXMAiMv}RweSZzbzv}w!84&-8yWx$aBBx&zY<9PZU>#Pi*VMrkJ@W0a7JkfDa%QFX5b-n+t~dcvC=Q zHIB+j4|W2rFd0xVkesdmIm5koFP`wJ2IzxARS$7%AmnjUN(;X|)4kJL{Y$$@aOdJh z9fF3s2cGW&k}ut(ik7r^pGQ%-(Iqv3H_KjqaDi1s^{L|({$t%>!^6GI42?i>wtd$_g4i2^FMU#AgpeJ&w>~BQb>%1KE%`ikMdj%ZNf| zyF9*l8y0-=s#2PU&ZFCsERIi-RReuwp3kJdn$9oo|1i=mfa6Dr!2wqCZu6xR0@W3Gm|KKEn(wt;i&(}dQ z1QSx>bdSclrMK2`-nQcUPhSrZ_k5?P&C?D2#uh2(Q@wX5?o*&2bGOq*#IDy=r{MRj zUbMMMt@gq;k@k3;SM5XCW?z!X!Z(8?@$eagLCRf|`~r5DCdtey`ShrD1!DKmuVIZJ zik=n^r*)O5R;dgcYwGCCKxN>bMb7S2EU=fgLaAVtj2M3OJ}{HA{BGP<25|xX;*lj+ zM1dYS63UjmZy~=+&7dNQ$ZSQ@nC6PcPdwgsD5oHq72-~qM&3WLHFl2Bek5%lN-!Sv z`e#rYcg8nzTh4$j^{dVbuXU6#u(t4%8^zM{-XDuw{xVeNu#P)oYR@0KuBMssX)o)> z!LORPmeG^WEG5`Q9T_IsTl$`vqB3a+18rhAv7ldn%dp6ydY)di zhQy6+eB8Xa?EXDBsg^TOGbUGzZL^R0XHOomF(EgPIbrtY{?CS0TV;-_dK(|CzW|wniRIZR-4A!b9cs2U^NwMu)NLtr7z?M-bu<-^D}c8{28b*_Otlm zBTKd5xh0&^oLi(?`E;?^J(J_we&OIm$I5>98#|I-P9IK6!_;JT{mh}3q44a*1$u`1 zdLYY5W_S<0jg8QYM}!p#O@UP!g-1>v<}vAo32b|JfpeqX0`Vz6zw0o8WB~2riaaOj z>bgM#*$J_K!fN}?tK0>6E5?*4{*3eqW6C9$5g)7&>OT9KtQN2O1|%6Tm+WJ6Kl!o%){ed~9FpDpN5+XhhPxby7!cm#Bvw3r^3yOt{ zc&wRHjEe-n`)gNooz6Ar zs=syK4ke)+`mViGz8XGrdci`hN6VswLw-O9kd=jAAmwr4yi zk(>?+$`#m`EZ7DMcOtu=ABEH5*CnA(dt0*5%?01cRdwxC$y_-6>I%5jj#cCRhzi8T z+Fj0p1G>}e>pZrMRdnamy=jvyh6C{KQ4ksf6@R&DJ9bgG2+-dk($e1pLT{37e>qp= zHa|zkBlT7UqGw~nu6qhm|(Jz&F<9+v&Jzu zNgP4a;IY6vqi6v$FmT$!FTNG(pZLRug9_6~Rn)vHq>ErR4n;0i({NNOB1(XR)mL!Ij~062DSGaJLTQp$fbLP6bw3BE(uec0`%;dp$Nw z-Aa*ATL}?*VZ1r19c!v=sW}6;wn~ZLKSTxE5um7%Gjs%E0Z{(_90k|<>W&vseV2P} zTT%)<5WH&(tdF`i_Eb=Jx%4D(A5Vx7ErU5BE~BAs<$9Ye!jZ84!&JvsP((b-kPy*p z%^Cp`j|x2e)=AswwF=Sdj=k^3Mb!)ECD^!9rX^PAu`@Q-Uld$APbxbx;dyQFnx0}< zCp%iqTFUwDZruQKoyesIO>S}*SF0!J6h4ER==nfW$@~db79zwnSLt^%FosFfBY`Ps ztghBTTJuWx<|i=dj>l^?Qk*p+Pd5SH6AE2u24Iu^+OK9XKoOx@;MVtew{PjHYN2c2 zbsYGT~U|(NUH@|8pz) zXi;#z?4vyHyOo4cwF$ zcX#I(?gG2X0VL}c5CTP!4BQWg{T=V=ZW&y7-#oBh4UtHTBL;4K*`lBrnpiW$fL}Q2hzaa@G3l zK$8uNYc-r5AsCkn}JW}JIF8qY4Ocrs9cPA0*xd-HMRZ1=X?%x zQccrOA87PX&c=k8-V)%eEvOr21omn5t?myETm58p`+aeFuj?jjZoZ`5rW`+NW79QA zvCFIcpJx{W=Bb3KeKw8_;;FSyLo%U>py~qUq93fK`@jxvZej5d4hbSGVC&B*{fEao zd$%3{Qw{BRzcPbD6bg}7pa+e4(60Cdr1AKKgcnRqO!9=!oM1A;Ng;MnV zw6ur;%=ZF>3WaEetnI|OJGBxZ0H<|!;a%#cj(MK!ofJW5|yd0PZT80H!sp?#f zB0{|%+3h-W&S=aibKkOcuurAd)H*u9C7n!6`SDx)K+K~F^H2U62#{FqSEw)Cv6P@q zZQ^e&2EqE&7wgq?LM&|bnNc}6k6F|Me8U#bK?ItsZQJ#s_ZXXFSoAj2c}TN18$u|R zA$o`Mzjmy6W>%IH@G^q3fXBg^K5*v&TFC5hYwiHZr>Ll|31*z_``WsR3+|oT3g4Id z$_a}G;pztfJ0SAHdBPYrJmd)3Fg)Od_9IYmr38{A4c``l@G+sQY(;UZR<4WWgx_ad z!nMmfLJHC(iw2~Ye`CB#W|y{?lx?%e!@jifG6e4@`@O)j7o9>4GW=C^_*a~^%iEZ0 z@-(ep8QA*BGZ`?_(`9~0O11s8_x)d|fEV4gqX@%7t{4}%x7bQORX%D4v7xWcJZCmN zqPmduW3uAT;XzA+|3wtzr;D_#On7omcV)w_KC4L(_HAO^*o%>%eQ+kF@FtQdRwwse zz2lodLwBBzU+{QEvAlBC(P{c*ZSZVySB6E?yYfQ3_9ItSaOhOwIf6Z45yvE@(;J5B zf61e%80g;p1{1+|Un)`5$33t1p&m$%g3{zK0O5ij;_U(#((s=v3_-f9AZ{x6;?K?e zIi5$8X#J5&pGJ7|qs;!t8N-k15=Jt$Gi-16Ldy*FKf{6l`WH}t;t~)hr}FesL$?gk zje(A5rGUPoj0^@4dIf<3?YDFN{TAdU)Nw=dn%YH<%aZu&QI8mEbfah{>u5}0mCN}l zGZL8&rgO5C6-wD=-#YIrg7T;1fX zrBz}rX0GKfjO_=9o{|M4lC-AkIB4-;V)E6KqQO;(IJNxpt!rS7qK>>TwAqVbLh-Je zl;i!%|J8+xC9YqTeLjFREwqoZHIb6IXC9R*hR2@+@_Y>IMqUlhW=FFLxagndju z2YLsq(a$^=C`z7$jMZeuU=t<0p6NBS5^!1;ao!GBGu+xIY)8t1fF0Qc+H+barcVV? zcL6Id2`bdZQ6$@79)7{N$}`Ze*04*c1gG?JBwtmpL|Qq6lC`7qWlT~e_TiMA-smN* zMRJPovu>P;cS<=VpvrE9(iD?g_jye&)bWbHBxYy4L9d zWqtdlkG%%x#T~3-35|sBR0_-Jm+a;h`C0TNANQ-#OPULq6knosb7hgXga)LeSoG!F z($aSA=_9na-*@*v#KTu(#>0Pb%AcoiR&K^99iIYB?m$jjt`B^w`wTohRZ=D*Ad910 z=bWP_sc5Ju@M%hfNagIx@X5aKSlLmQux7O*--U?QNy0TnMGH+Zgw2aBZ?mybU`Q$3!(q6YK3W#=u3ja$3&0zf;66_od?3`gnIhm6FnV+GQlp?P#h&x<5^h2ywHnq!NJxvz&=C zxWDz34u3SRC5?YxOpth{1E-zPW$HsKLtc764`m)Onuo(o&NSeNf>akpRF0KFGYW|O z+o2wGbGS?&jSVj0xdg3alASXj@s&aVA z^tSxFr<7FK$a+BguEK-?y1P@lL%Kmi8l)Qp z=@e<{?i{+i<9}v1tdCVsC-nPM?+I!Sc!O_l0ttx#aUz2? z;K~F_yK`-r>}eow1FjvWDjRkVr1U-jVGOV*dqis8&RnmJhcaGI*YOM(y5-PI%m*A@ zekbo4LY_Jg|NVPS{A`zG@bKf#8Bk{dP}Lt3=AdZ5zxAa@LOfSKSeP6*7$Lg&6IIF5 z!R}AKADgq73RH05mgTj%(DF8xhZJ1j(iMMHigvs~oB)9qZL%&Jq0xMhM9DHa48PH8@hmY%E= zJKX%9pCTR4wmzrwxlih+$-V9PCv1s^2c+u=KtsyhV}FyreV38H%O5CE;0gM{A3dbl zLyi}@#9O1`;R=e1{(x>1Om;h;K+Onr#$7-Z^I1vBNI8FO`v{;_Rsi1C?t>w5f_!P` z?2?SCbRdWgmN(xAwASJ*tokvP$g(1whx#g#+a-I6j4Q`UQo;28wnwReSj~^Dtfv44 z|HVOdjS{B50OF5ue8^LPUv z{wXl|Z{yU%@i7od8DHFHqHc`Q%;2x8Q9D|U>8g*V77E$w9W%cDTnI&Vl^Uu|Va zN&U?e_(GU31&Vc4nV%@N-5!<_FM7g;w+TeQECJp4v51n@!^0>I>-y)gc9m)?SS?<_ zGmH_E7(Jr?mp=Z=_SQ_1ew=#!VG--9b1-Oo@dhB~yZEX@TJ`n{V zAEaQc)7F7=&7Xlru2i!g3+NRC0%)2q-NeoSJu+B`rQXYRzDpA6wa^Z+%EIj)dbRq& zoLwf3@z1ngNF-Y60!s?IMDZ`Lb(yUlUY^RRglCWG9>nvz#c+PO=b{EsrZ{k?#w*4N z9enbLoFgTL!Et)H0;R~t;~37Nc8YP=o^?AQl-z5650s$y@FNU}1ia=A;}U;-(BXZ| zc#Rew9NbeWQM(vytz|%{1FG>U-A5PZf8%JCy~9X>^dk^+`(-aotf82QPOX_Se#QM; zCA39CFVV@}`&|+Xn$1A-^H|YK;U5_^<=-%#$Q4fjjn8MejM@N~Va!Aps4fE50tmUn z;>}es1yN8~xYBG|iCie`zjCjCG~fTtLR`RyDaQ|{gU%z@$y>}dH5&_<%bZCv?Ei_LV{e;Z*0 zQ{y&>;@kLLkZc1+JAn!rkd$cYyaAl}+0KWHPLV|hw^LXAoYBds-Zr$N=+eLaF}1iH zpMHA|WME;fIS}Mnus0W|z6%7>eI8A&>EhDa1;u`v3}S$1!(aw1!MEh(P@q-;QzImL z9kECEdn$Y8u(zk!CtukA&EsG!?_9|{JdVs$)LT}YE+or&M_dhg2J&B0VQyb>&Kb(S z*sfQ-1e-lrv}pRF`7=5`Yw+1bmUrzNUI#G&nH2CD;b*#_eyzL<6Ttzp)@a^?4nQ3z zc8Vj4VC{!^aB!LR{1#ba?bcyVB7mK7F(rS;4C|}|_7Yac4m*b}0Wb~#?|z|-{c6L{ z6+J>Yis7SFAXz0D1qHk;-+5f`Ti>T&;Xq2fHI|Q#fKK2K^uNE5W>Ir_uRN8>$y*&> zY47Rp_g7zFiU3*&BLB1Ya^xCrzLKi!`8g4v zLhz^h+%K4QPZ^%V5uZkZp6d8W-47B`KeQ)a>2;YpMAk(3=!H2@69~**vnjc`xj{u{ zys<)r>(;+(>=Au4Slif0Zi);=v6Z6~7FMCbZTz^(;F~4${KraOGRqEN+yqM&9UE&< z;RU+ziTs`oo_==!iHwRcG51gz(IMsb7}YU4-uJJ70krmbkMq(N*sJC1>(iCp-9FC< z^%5`)?DE)rd9+ZZq*`OC26d1G+}WK#Fv=gCa9aW@b7wk>IMv&^kglogPBzs_JM_Sd zkU#LX=RyeuaL;bs9D2Ow%wqHz8eL7vtx1xR;9&85{XCbqE@<&OifWVS`#=B7y(aM* zyv5HJ(}1*pq5*LJ`v*EjVqSo`K51>lt7~r9?&j5}VnFu*7&io{(@yFykb2*>==6E;Mpr>laJ_kAAn* zp9B+Th2_ULH*Rph!AS`MEhsv0-a++P9pttFmCjFsvQ>d{^z4Q6bK--n=b$gX~S;uS-gtrQX#Ej3Uc#u z7~H#90s^{r!@K7gF9Ud~;X%;;;D>QoBUyvXGq* zAMtB^^G+N=rERIZv&5I~omM>_z4sM1p8emk>evIsV`~ErnQib%lm<76E?j+l!#KJ-}J~5mu zdY^=d@Hj7sUYK0@tmioqMFi8@1a7AQFpe1K#pf}~PK1^7{H~P>_aNO5Lr7PDDXGr| z4kg>^>77=mlRVzW5#-B;>&c`1&t`u{gvp9kTLaGCqmvy@AyRD2&$nz~!HOLLGN4lD z&AyaTH5N$7jz-0J`bGU-pq~Bl$COZIHX%A7iS0kM$WoS5RW&_HR+y2~*qN=S2SRIv zIx0#^TucO6d5!CV)-I<4*i1$qHVz>tLBr>VXWyzmQMnu}yq~TVAnshRmPx~J&%yuC z+5l(y252ptF97y>n{MC-3RpnSl{nEbc(v99b_~?(S|0ByalHV;^mTlMqqX1@w+=)o zc&p0+-b?-rpPvAPjyct%R4Bj?evzXbS5r;lk1l9#h~F0)x`aSHbb`|=BjeX5o60PRSC?0ok0W4`!< zoP`5thC*PuH-BKWm~?BtXVd&htp+E_?G#3b*o|}OkY7)Fm3nEf1*p#*n2hJeN#et}5huZE%`IuIrSu~vZ1xh+yIussrH=U4Maauu1NcEoIBp0^X?kZLR?&B4O7 z83$(fbK^3Us?8oaNO`F@%8$vRsekBD4hj7b54R4thRa_3?@vull`j+qBi^0dnR4Jp zf@F}eLNy#z!hwA7puQ(i#R^0tHs37R`;u45f|&{#wMaz7aQ}1gFtrFZvO54isI9NBuaHp} zhA)|>;NL5kdT7_~YQ0I(+0VSJ#A2T<>i1@W8PEN_ya_eSivKBQHA;1Nt*I_Did4GMT&232P>HL=_zmud4Ar^dIa$*bIOn z9-KrKO_DP17BApqCWzpScj_%^5|e-DFQ`|n^Rp=~2~i}i=(xJP7B7ojNPS$!qHH%K z^b?(&raGv)qn0Wo!X2H&36k52fkKBcd9CuTB}1)au791lcy5hN;QGd^Y+U)t>SI=2(M;*#NJ=NF3} zml{N$_~x!|CT%H>cK)cL=}Z}!S0m8K>U0F^TQDCb zjI_#f2>T<}N_x*Q-XVLDht@lT)H zVSwj2ctmc)N^z4J8FDeXw`^Bt-LFd)VnS&SNdtk~sVeTkr|$gMb8`VICH-PYpu_1D zo?}!5@H}45{DGGzVu`Ih09q*(X(pmmy6BIc&zKnR{c8iS>G&^p>EdE;32*F$8x2iO znBx;v4k4!p+h^zkHPe=BxNw}#WQ3axh6a}{6fQ0|l<%}T3HkZ8r{?j(KG6?6Ae1*> zKS#JY{QBdAK=JMn{adq%eVR%C5aI(uJ> zKlqFYHGFtyPD-H%q5YpuQgBc2OhemS+^~Ioi9URk-+Azz)8{I$t#|NzFq`2MiN+*x zUQ$io|D4cYkWF#YYhz(~6YJ`fJXBYg^Hf&gGEzcNN>Lce*Y94J3IAJyj&J1&-IfD_ zN9Bna%GMn5*kNm_v_6;H-8=qAH+bCsv?pIb44XY5jB`y(_9(u^fmw(GD5gop1905HuIczISWHC0H4v(aDNhz zgLkqR!-O4hEY66-EHw@vm<4gkG5uFN_x%I+S(e| z1{dbk-y~1k)7Cysm*;qPs{)maA3w{1qMDzxN;E|6PvSFkW*2aqQw&V&l32QBT`502e7r~Wz{v| z!hwSDpVc9!m4Qd84;eX3K{Q=RM3c<_x{&IZpe9*82wG;5->M?}dLiW=X_1G{n@|U1 z)W2&4_~D|lgh+-dBc>g-7T(qM{RvA}zS`x7tQi(J0hX~--&WdOj#@M@2#9?Auf%yD z`-P6q;#em$xDuXJ&)z&ZmKLp5yKJA!0-;i#fh8YqbQ>ERv7q6dN@Tj@8kE|K>3_JYz5#z7kMbDMWs zp+NT`Q#OO&_^=s3_*))sEbv`hJ_*a1?pWO)9WB7G9KN@DS6rgJ5-;oYW?%kAc$Zrc z$sFf@gSKz6^o)$P>YGrgLASViLhd&M@~4zXm$=8I?IdgY1V$n=h_=63!-BgAzSf8Ks`%R)Orxmd_djcT0W zJ&q$?UHuEP_}~?aQ(wg$v~N8FJ1q*D@=vNo$F8_JhtUrX^yA`HK5Ccx$ma&u_QQXC z;uS5qu(G=9yEiWw>*ybZAov#Nk1o>(@D)uBxRUV*+UZzVJx$9{1MW(oYb^?%d2OPa zX>zLl*4z8GZUqb_w5^$J#Dj)gYoNK1IPUql^r#PLG=js!S!o%8crqXv zlSrzq<@nRy{=O!6!rbYTr9OSK&}4u24uzkeA9MyQ@IN^? zu=4Wq{utYi2IAR(p$`9nBO+9s(svw;q<{SiQxCtMsmkA{%-U$QkYZk|Huq@U#y7`7 zZKXf?WPUWM;;lQ9ojuG(J*-#p|5-T#+OEF7>wM=rX0DBmUEeQ48E^pRxy&aINzcb@x>Au6fal(9NHAA>W2aPX;QZc-RFveyFT3P0e7Qq6MX(0jz5C%8sp!!%f*bH$VLZ^bf-wgYh{P=sdAl7FXlvG{6J3F5T zh!{=(I>eXBX!eiIX9VreER`tXv;Fws7SEXBW(&&{X$_GJz1_y%nK&i7qwUKeTPC*r z3d^O6cW1k}UvI4;q{m-_xyyippL!}gOcWH1BGvy>LIBC%aa#~+a(Jp7@Z?|y9VX_> zs`hYMs!;*dW@0NL23@*~zlPK`y^V~h(vw-bOFX(S_KkO|s@}sLji+)&%rRdknJ_u+ zsTNl>-A`(4fm{iVgg5w5xl~Y6@@3rLz-Le&AGnULuGKC=n~sh-YavkTnK-<>s7eza zXJ$EULIdS_kg^~+76sb3RfS_UoeuCf9rZ|q4v%BcHQ)b6@>|JDlct|@e|l70n}cx? zC#Yg3`|{?!$aJiFWJ)=5$8h?CRAhx<>7?#N!;;kBt_Tv}V}rmQ?>yw;+ zqTHt5l~dWfwbL+-Mn>m@lZ>8$e1ENlRQ_f%*SXW3BRO%H_HD=7q1#$Ht4Gk%PpeIg zcivC|jF(y!t6>>O$A1qqCw2%E=I*;8aKC@HH6I`IoQ@QmBv5;!30sM1XaA{9dHA!@ zY(m)gjN$hW?QeCiroQkL6y)wK1QFBK?zL*JrlxQ6=Iv#FO`ZeJHA0K2QWnD3MoSO( zpuYzAoQ%iV&bLO|cN!eI(>k})%4!Db)A(*LA+ih!a~?WCu^KjdvmAieUy~0Mnt_-s zECvEpVaFZNsBE29FI;Sc*)b=q&wYHhk85u;KCwI7z+w^}cI)nkpw|M)T8K2jT;5NFTj$U26E`Ty>GoY|tsI?N-;QvWcl>XD+F%@C zt!{`juI1UL>|kWqpSb%Jvgh3kNlOC}%3mAy#JGT<=lcB-esFNH*2E##j9$UX^f4GM zch=Zo85b?jqWhc<`1HSbV7+?n+crf-K{-w8DESJFl*{iFukv$#N!4o|i?U)W56>p1 zoxt6r0Rh0BkB9fBUhJu{0PpK4sf=-BJoEeersL`M*yG_n6+$t^!kDSmY7Q0s1(i?B z(6K7BAqJzh6sisvSILoV4PHUt`^>TJ&+6I%_S;Dj`$T+RxI?XXWRsrN&pv+jQl7gu zJGHK>gVQ4eQ@@uV9V4D{m!j2%6C1OoXRsf_Jp9!8;nxER+u`lA>4sB`%1UH{gqfOM zIfK+*z6RY7tq0%}S5_9Gy-t>Mj!1Y6>sczYksTi+^;jn<)?L{7?;n0jxYka;d3SgD zRyg2>a{$$X+?*H)A>!t*goK4zjNFh@Pz?NqrQjf)0zo!z>94}4@bG{u4BfO^U9-t$ zq@)ET9TDA}q@<)NyEiu}HgK#`a|DFg@P%SRe{@}4xj>kvprnksJ(tZ+jxi{0rsHnQozdQ-CWHslh=F|GP-mc z($^1PCLEjYSLkAev4Dv^$Y2Hv_53dd1Z?W+>fUga<1@A%b4`{kJuNNME6U=#efYDf zWApouD~nZGtHzXSf3hn_Ao@W>tO-L_Wf1~d+Y@C0LV)#qU~?tncXjrHGB1_hzd|2$ zn=$0V!_ytL;#keD-E15CwL&`*74r~Av%$ckcF<9X3|1|uK29alxn%}%;T4B{qwo#% zTFhG5BS!#RKbSicL{4Gr-(xhAK}qJ1KA>{6In7BthIVCow|c#0plt)dpMjkvjh3ck z&Z#)nrsie{!0GoV@)K87RDeM2Bk-w!3>ZF#h|}lh=BCT2RpTFcfhfqgHEjG!O!q+q zmWOnW4D93IlMpM6{t6W(h7W*eAVA~GR=N63Ci zX0}JUBY)#Ok#M<6p>cM=O{v`zGE$O;T7ZQ(Na39{Ofq{+hWomF7#78y*0$P13m2WH z5gaE(BlQ=oQ;7r?G8_u&C?axtk{(OVq^62JeuOBIfGwaeZpI12EjPXM(A3nu;PPm^ zzyr9N?3NZ1P!q@>)D%{BdQwzmE@iz{71)VPDk7{JEiseQ*ZR>|`D?uMU1?Pl zkv#iO*Vn7Hh3lisNB3u81w9xZ4R@|*2l1wrdnZv-V0vU`KCctm1bQrX@NsETBGK#7 z>S_pjIoD)Lj7<#t&TO=e_N&qu^-26G+n`Gi+_bq=@Drcg0}_jqS~#E4lSxwA-~!se z#XCof&a`hC%B|iZpPl|rHEaKtit)!EKTAfEAwlCEI_e9vksCoFp_B<33y>!Yf^o?a zHpqy+C-?*5BM620E9Z@1D%ske>#sUGJJ}d`Jg&ZYoQ;UV=tzRZl=3`@9%agt&J5r1 zp*+o`l>Cg8WvleAz(V6yUzw5B?rm9_mCBSBU_~0QE(>csP}h4U@)3uSUG8HMM$R)S zLGiC=+$>4ymr>DQ$vWSBm8ch(>U_S*Wt7hHVly@Al;?7cmK89c!k`6>vr-wmyZ1PP zMCp3RxDO6}+lHXhH0SXZuAFfW2aA_~mJ)};A43p{?4REvr!PAP1X_ka=O}&|N=<=Ca^?y@vWaJEv^gxP4dE}HRrhXy%>-M{J{HxelYvk0GXVy>PxJv`=-SFuO>0@akQI!j}b=e6+ z!cd7Lb^lC5#id`M;&yZh>$ATW`o4<~$Ri92C-&DP&^dm&ou=!id@f&65y%ifINr8v zR}3aA0j9ansrn{gtGqy|h+z(K*0xKR>C0FIhZ7eg8QE9Rq;NK0x>|4+Yt#@7_9Ayw z#i`Zgk1s&tBdEsGFn{+;hS**z%8}V)6wc0+`K&u8iy;9yq0dpZJafbpi0$${V1db= zABuE-eThSZH=@U@5=Z%trc}kL0v5`YN zPS>x;WVXg@jONg%MIHFogxq$HmZLSAjr#W7G}KEkqSqTp7|5x)V>WQb%5`LeTX2!8 zjt88nnrhB|52)up9Zcko`81e{(Uty!>;~XNdl=^W{{F@1u%6emDFo zXDknxDYM76LA&rR&P#HNxeP1_J_^|`@_#OoKZgFY!o?9pfa+tEXzt!cBV4(_hiyHy z)^Q*L@k0Ui`jAjN`B6K+hGX%;AG~r@c3ZDz<&D!E?Zol*ZH%n)*U?BWHsk=k+5&>w z4cIFsb>-f$^7p7_JY1J94;NE&Bj#*U8OiPUmzqPQ4|kWk>#xeEhSDzi0%i=6)DHig zo#B&4J$ArQ;}!H-T(>@Nd+ zK z+gQz92<7X!lr`@7MlTOVv^GThrcvGP<~o0=sZr5p;GtyFAKtCox@$r2giCe$Ygkry z_AdQ#i2Ui-i2HPy-4 zHCAL^Mas1aCU_-Tl^4H{-X24!y_^SnJ48~}cq#mKfx76H1NXeOv-mAgUq*A+`1;|^ zTDoo!KuYWDb0ezVvSg1;L+`e>%E~!FU!Dqwq60&p)zsS~Gh0{?B34jQ0l{}Lv$RA( zQya&0m}zol(JoH_fNXd*~uj9bNHmq$#0xdB$@auO0)a7op`RS>i>rdaZz5vbH2Nr^eX7MF+RT33EH8 zWks2(to5fDi1r7qA)_af-x)N%9{!-iB$gTEOUJGhBenHzuphE1*Sp5ExXS#=Iz2f& zJ-UCAWR@wb#goe5^y)h^gN1NHpAF;mLSbqC%JNMpc!A zck|O_yZQ#psHi9bf(1;$V1S*r#|QQ%A|hgX|6(}y!tA~kZ zi)1Qhu~exjjhLPljPJ|ZnK~lG6~V8d`}GPs%pXO^E+18mpgeuj_AeHIFC7P!8hNCm z9euZBW?oU~lffo)4PtTWyx-h9iVV-bH0$^Qs#@N}i1zFJ()T{a)%UbG<#Pc`n{A{= zP+P8Jx8}9Y+Nk(>B_*QRUZ8`~Zu|?Am{?j_8J9gJ0yIkdjahKRo`-dkD;fP8CCn(}2VPt&daM;Qb4-45l&h|QM{`=@f6CsUQ6x?(@m_P3f zSW85z1)}4VzWK`+A}KRHx!UV<4DTcOD*yWC*Og^w!!pJPt?fRmb7hqYxtC#m5;Bq~ zW-KWYcjsR!qSL%Y^mq zzo>cdaw_z2^ZR`o37viYd{gz>SoC>zHo3U$u2&s=DZ7WP-Ahcg_SN^iXRR!*UMsbh z)5?QYsjLiK_JVbdRQ_8g#;G25`Evb${@TT0MbNtbdP8Q4MeEpww+Re}v9hx}B_||I z)zhU(=I)GdoH}Y{Rv6rNkAg2pdiHeTz#Z_w<+C?y%gW1}ZvAXM%m)r3MotPnRfgvL z{2cuE(dlXNj~}0;aMQLar67*(j2f9P_ho5Ib5oX=w_`$Z4<~un zs$3zPYOEEwZCUz(daPnua&LpBr9@0PFQ{JgMD1LTDehU9heI#j3*XszXAqcQu2gZX z+Hw^XS_(XA(Aa#@mWGr>k+*1TKb2{EtGIkKCjk{)tHy*SGT?-I>n5& z6B@7p0f)r(xY}7lx*`SxFJi_rr?6MX(*OV@ti;Nv9P86IA5Yl}dzEE)jIbs<>atH7 zT_%i7eqG%&UM)jyyc}jyUu5@?2!vJ>wxHMC-^NqHEU`=viL_!)QVqMQrTI#+($evX zFMK9#z*AtMORR&`vGfZhiE%sOIUd8E`RD$s)putqeG*|N6E65Q$Q`Dl+~s$C?1D#W>B~I{!jEELTB8NN5wzCTM|*N}v+Y z(*ooGaq;orzJH%wzXL?OPUe06{d?n+OP2~rkS`K%H!y${37Aw?(9w|vM*v7%PzVUX z3<1!8;eKB}@_Kk%+LTotg&NsB0xd#WER_v4ZL#O53SxRLx{5sp2INp=Nm(cvvSOLh z;&U{_k?1Wl(u2(@%-H)rdO&!7XtC9#9 zJ}Oo&eQ9k1#=;FvOjtZ`9021sfCmHmsmST+X|iLl|3)!>0g^9XjBqoTh|0t=NtNF_ zkBGVOBBtjky=G|#V=9oECO2oX^uH`|)BQ5XZ z#Z=GI4Sel`HA8FtvAle2DQ9Zw9oQz1Q>#t$--x@g+wL~YB*W*5Me1F{J$FRXug`PmoyLrED5);44|A1^S7a|2 zf8RvR6_jm1P|F1omN!Qe^MsjMn>{X8W>y6Bl{ZK6Sf@!3`a_T0?kyK9WAitfNltF{ z`lMFUm$b+7J@NE^G7(g1dM>_LIS9na%1CB5dI@wjmI2*AnwgEc`Koj4EwT62{b3TP zEjh@=)9CWY$H#x#LPbfEcxn|25SGEfC^ZE|_Sm_Il$2Dy5j`E9shJrJ9%Xn9G^fA6 z*Ko>doH1BW5UQ@JIT`)LXgkDrsmmO|f3!3_{F@LN&q>|nY->ZQ2h)}r1qE*b)w+zeH3N9}u;4?rRN0~7pql~j-;_kyrBLbRYIYS?;Ps2-rM#W4PuV-}e)46^5w8MvYmLu0bX|qys@PXTuhP#NtM=nsK0qs=(D@hhjdz}CO>aOXl^(q7zm z8~Kb$+0iYhs7bO1;PR{W-p!pIsgN8^hc3+XVjczRNNAS@qy7PQx&O2H20NIcFdr~p z^twFNWy-6l0E}Wwtqocw6Ofl~It~qG^lMfN4e`L-f^S0|8`9B{-u~O>y?RGt$-BJG z4Fvdij_2ndV7jnGrn~%}9@tTk65_^zp1XlDjC`Oc0fzcd0sp$g%Rl&1 zxZxXbfuZbcHf^J@AQ}pa#tfIeRz$AS1l;#3E zu374odO=MUg5mx21=U!w-ENgs|jy+MAd zycansGbbSxyizijk41<*5If{3aQ0cpy13SkI()UTz7<-yscizz#5f15b7P5Uss333 z${@EVfh!C3$(g_+QdzbI~<#*3Bwv^VT38qfekKlr^THyjYmzGuY-BcgGxyh9}p2)vK!RS`C0L2MAb*}ORBkY(a0nT z0-_|?c>sjjK2y8<=Pi_!lmKmEYK7WNatnn=XEHi5d>Iy+n4Z#y$}v9-bxKZ7u6umA ztp_u#T-IyiI4_^?PL^*1%B8KUJpk5EjQ?@XgFD81T#AfL)vgKBYKHMW_yU_Euj*UL*$Fe)H*$9@RNpw z;1`rS4ef)y0qQF%o&q|?tSY9A*&@E_lpRy+lFWvNWFSxR4KM-4gTc&<;_{Z{SQ&1K znDqbNbOC)xas6ZR=Ysf`*G&)Dme&u6b{9b^+?r0uD@u_1)tIDrUW`?<{bi&V%a@39 z`{=aNNt}@h8ILUJd>5qbHZuVWD;?{0@ED|c1E3tyW#i>Z`>1thEA9;(L7H|sECet~ zW4zEQ)ZQmgo7z_~ZnP_7cXOuW1Z`z-dLjM06AseuQPM>1w}>9o?<;n3Fi6 z;Vi0^h7#iLVEBN^$NuNqnjv8QE-WtIooE4m7tFgRN7sOUD_~+lfCJ~wT~mOa9Tz0S z78dm7tq*Qded?vku(*?9^Bm?7h_tFv(VXJPPXYTG_9S}n269x_*j;{K9;uYm;Nugn6x>VOzNX`uP4|$9AzC^DtY5hW2!)N1$Rx>P`=lL(Mai982&e!FFjWpf>+|63Y-A0herfC0rcLED8J zFV$UAT;t*jini;HJ{OFm?e#E}Hhb?SP~_*u4-D(W{iT4ss-o!10W)3ktc@V>=d_$e zLqkJ+0kPB($Yt2XM%yQBurkyuZ0z1_`v(B`rk3oZpV9tFIP{Po-W@L4os2PMrkWY) zNS(nH*x|2Q5@H*4pEjC#tH(^><&gHt%gZhQNJ{or;1e_Vb|y8f^#Dp5=hdr~Lt___TzLsFHCwyj zL>PwqUjKY&qIsuJ1W&62_-G-zDxwk)Rdt`s3fwz@Yp>eu#x^jZr2+-hb>T!@F&1Sl z$pF>v(AawKDiDAn7BvTjo};s$UYs17In@O-?QlBUQFCPnUG`oCX}--XEDQn28VFEe z`q9iRmC6>8bM}rp!ws`Lf=9xa30|{_EyBfuKtZ-OoV4Zf`=N5HY;W1Xxbi{Uw!;Zv zs8CQ>{|hE-s9zcUo4z4ImW?6?_hR?gr0^$pjjSl-e@1LI%!aT*&@A*dRcj_Rz%>G{ zie!>s=j3$E`(*ci{GK!Q!EtN*{;uL2O~vMRYHn$y4$!uIwopth4S6g0NoVaS}RNH?;34hl7x#IHKHO;Xz!8Jgq3fQ%rN?hJFaHYV$#uQ*d>G#T*V zKm#GR7X}55+66=S$3aVv>E8V*cqm=0Y-~?{OzlFFqyYTfb}G&J0zY{B5N2E5)QPNH zG&RJ3W#2y3fQ=ryQNm+?8^vW3V8E_sB9k0Dy$r2{rA57XR+~r0Iq^MaJuSt z{?g9?>H_fm`I!}%LG2$UBwhe^T;c4I=;-JVpmNf^xu(mUgm&Aqb~dlsWo!fkU`&?k zkXlX^On`}!7{KYKJom8tXw-W39IQ(7tTn*oMBObt!WbYVFZO^zC-6C|Vg*3_*ZgNw>>wz4@a;_x})GMAafj-3O*eK`271W&=Zf6L#Al$22((_+>aY$}9H$kxj zu4RC6JBg)xZV*K+AjeY0)C|y=Di8sd4eMEdAIaLsks|^K@ z^A&oyJD@1?T`v6pzJC-<-2^P@a%+B?ZT&O-K#a7uj__aQFJ$oW@PaBh{&i&kY(->l8r8(z@rL}8-Ju6DX9YGh)_s<)^2m(>g9)CG*Hvgy$s)I$VsxYwb zQrzq0qDHbb+>@bP%xLkF@7w86b-h~A#q9Y8BG_=OHTrJi!)6-u-~7)q{JVR$;f{(S z$2ah8HL;ZnTwYQ!^N9a^YD-K$NW}Jl*5K-}Qo5}sfOOsdAbdnvBV1s6)=E4`-vLv3 z{(^3&sPD>fgr($qRk||2zk~gNG7B2RluQ8;5zd^rui{W4(jfkbAJqKqX2&knxg`J1 z<8Cxl_#}Qo+*dxKMaJLDZ@%^o4n9cC5sqdi_7_flu7?_=qOQ9T zIkHYDolJ<8!(K6|TE{kH(sg;qOs509|Q4 z8_hbTWtbNK?Y-QQJ*mMYOsz+J&f;~oQ_pna_Qll7Di;(F!SF+9SQzd5_qhcHNR11T z?JGZi{$!fh0L6!K-9y7_r;4BiBi;DHvdi4h2pw*O&-7k z$n;3AUP0Q|Z=aGOK#C_MK_%*o8;DX24GsM(#QfUpDh%oY>l9Blsv{to0k+e?fWjwL z$DdP>wmpmUGH!%yLVr=CB26tnvdwUq*KcAY1`}jZ zdIHG@NIfs|)afK&PB)q$x_@$#(@-L)Y?3b(Gl>*32qvdKe-;?UgYMT!mzhWbP_*3u znK)BzfwwzVzS+mvN+}>906VQHwpzqN0Oim-FhIq~7zK^wiL9z(jfu&jto-*(K*ovG zsYFZVzZ}1Y{+XsA>!|nw@J%HpQi2fAH{kz(_R$yT?4`nz5)=e|ADIaUe~h5RVROh_ zSdm(a&R;W{8BlKr*%$l|h^lyReQ?h4=4YJ?;%bp%)567osR{q7iSXL$7w-1NJhdL} zgYTE%bZa`WKsF9Bdlu5mUee26x~~rHWzhj-Wj@q83w(b z5DY&tl?i=qcW(+B<9rgQ>O?Zq(Cr_JX2G8XzSW&!+w$y~md$^(pFks^Z|UANZ`-Yb z+Se}I&sA_t>DiQJ8%{a5ou7*$kJz@0OOb?(7?KSpiwY|ef!vjq8y*ZOlur6cW&`q| zERMv_Z*f4eOR*@^_9@!4r**0C;o62j{XXp8w;RSqS~jnSR&k8VHAZ#KHggh5@4cV- zIyN$H1c&gU5Rx^SJiIkf;E0)+r4S+^@U0-{cuT56Xw{Q185C0h`M@&Ba$qzlvb9Qj z;iA}p38Y}c9L&(;hWSVPV{}LUV{ z>tpc815oxcYV&>GX7LA55Bn6CHN~W+rZQbhp|FD~8klGSnUzVpt8tCjn3i;mNWni ziGJs@-}q@hQ6zKv{=4|<>S}OAn1SV_Dz#Kkn<;bVggHK+TlgIj*bb@BwwP#*@a0pW zNRcvAbM6khi-o17xtW>#S8cUTO{pOFjs_JLm|C6fLH#BcG4cCude|`!{@7#5J~r?1 z=AG8ku#~=s6uvv9KL+2}cJ&oe>B>RZk6)JSkA$+s$A#e3cdaP zIX{2iwRF=AiZz`Ld3|JFDOF9@n58(`uwUO64QE78u6-5y~wnXmU8(NEA!!9IDrv`fEd*n3QwM}qECp~2C@E*;h|kXC{i(hO7r@h)#!C{T zOq>Z9%4bgyYm4Vl{5~--r@vfw;_@4_PKX7WJz3vB({7J?U@NMtwfYrDgsKR$$uX1_47K|mKP z4vHrX6`Ez>aradW!PE~1ZNquTDJ|Fw)}dD})9mdlZ~F5}Mf0PiT_q862d0^+sqVtf z`Q2tGo}U$H4g<#kt`gDpJyuqfrpJbhgF0Jm7d6Dp15SF8o*OG2QzG z?a+em&nmuC3xXB~T-qwgW#8%UwDGLG7_F?lJkl@FIryXCXP>q$hfggKpbYFSC=Aow z@8OSbfAOM4qyKGJcY&x4iZ^stw@05}#v{Z_h6xr5=CWl?is=T63zL2eR<~)xNr{}q zk7y&$3^T~h%JRKF-8`LYeRvfF{cuj2Jt8b>Or4*a++FVF$d}zM&W2AW{AkFW#C0Fe z0(*f``^^az?X?A}uo*2)DIp;~IGOxdpkx`Al|^pdxX<3z1No4jTt@s-Q8~AHg3$Q_%b2 zG^2f*hYTSDleXgSVrN^d3iU(NI7aNjYD0QkR!_W_!JJ^d&&5X-y*((A(93t^`@ri ztpyi|y5VneBo%Mr8D9oGRnT*74ENKdlevAhQdbdZ+yUjh4Aho|S!zb(b9rG=z*AJbq zKZHga`bhGCJXd4gd3gEcCt$lLaan$n?zTgVg^j)L0V|jzL6Csp#__a4)bk7^?T1bR zb92JrsIc$5d}P9{qx#O3TMI*ivx8ilsZ8g_N2aD`M(25aWL7NpQOF85px|QoYsO{y zE27I@MfWtoAA?GP&!0bn56mWLfSm>8>%DAQTk$~p7JLZKf~&T@y$v%csbIHG8YzVZ zC^HkiI*3w8?wnO#nV_k3N6Q2W<%a#%{YL036fw7N+#5sHpTt5lohSDepT~*lQsC%~ zNd^n@^Ouy!6#n>IgZ!JCF$yu)WA~R8|BtD!0ID+o{zg$sTBIdJQt56a1?do!l8}-v z=_`$ZfP!>LcStuPARr(DBGM(@-SD34{{A!X%*yV}&Rn_A^Nn*pb*v6XYW3Mrh}rZ) z`po9x0AzqPiy!{~Iy%$|NNg#4Uc5fpK=Nic)XKoyo9y-ZqJkz%w%!(~k>07a==2ou zp0rvW9`XeQr%qWgTGEe_!lt&#%Q161qU2+f`s=kj5cds zJ3t%%7T!IVu#~zK@HYBUdXz}G+vJ<=|I-5C8~-Hb7fV81p3(c9iPvm*cT%IJQKbsM zW&(eV-j{Lu-yo^{cH@*Mi0}kmPNf-AqV6nCVbV%BfR-ZF z%l6UZaWeDdM^B%|dNGJfW)9A~um5oRv+XTdxOep8$y=Gi*#1*V?3WPnWdtFIy-EC$ z;Dl6v_Dmk&agbF_=-)_PwBAi`Y3S|HY~H`uK>! z(-y$nmr^|=Aftl_q)*fq|9cBbecvE2^9PV6=%5TiDIBq#jSv^|CiCNMMZe0niyK9q{q&E%x2AY?%2PR<{|HgaWfUABW=`+b4<56WP`; z@LlfCP+N{0KE0|MF__=&VPDFMR>pGL`uFR$zpvl$@%$wYvXm$XE{j>hjsmno;A1mcQ@B3 zKHq%+IZT*(Lo;mr--8q=e%ceQA|?;eBMj`YEHhSYEg`h6n86lvOtbt zkT2d%lnMoAkbMW`78rxQ;yp)N>LzWG9$7b$W3T2JB?h=uRGfwGdNff1pbVWoj971; z0i`(1tudNvbf16`p^ZQqfg2ue$@{e9x!8p=IbCTD|L)WcXE=+HP(_3zpP8Dwe%z{|ksQgY`XhxyU-Nm>1(? zj8#=60hSZm79dR{2M5)k7C)Eq_7=qrrpr2w#|IH1U=$ENlrd}t4f;aud;}ff>5w3U z*@ZFC>2bP6gb{Ew1jzdW9Gvumf(b`co{=CvQTCkzRo?7MGAW1V*k(V4Sj~-gnJr5m z^1;EuF8CmJ#K|ofRpF>~51_F4-4j%zkHb4VBR3n%|LTeqyH;ed(rqA(>o`qMLLG3+>;KC9Hfu1B*1?hPR<(&B4a0*E!o2x0_}}SNym!W z&|%a0*~YM!p=#*(07~Vo>*?`KPq9}`vEMktor^JC{vN|1(-I5Z$#Xl$ZrjvpbI$Jm zHdYASe~2n__3{6{t8^H=%@z<0Ipihn;w_9-a`dXhs=v z$S6`{Ju3MhWR30A|FtwHCkW=Q??Am@4#Soj4Yndnp~Je+goYU&ml0gS$&TNdC+ypB z6jOvg0+DiJ&D2g%9?vuRl2b8?u(nlM8cM&=Ks)(i;1hjMY*$e6LTfe7_;-3DCyuZVNjNW1 zew?cJIwTlvz88pXELogs(PGge^&~Wa@TDBMmjpzu|JWMS{2xJ#BnUPwazQ~Xe8sPL`Uz=uy^FIt&Mu7ecpv{I! zWe5lY8K;09j8!VqtNVcDPk=p$0||4cy1csuZBS^0eJ|V!xDb|T6gMI)>0Ao~qk|tq z5fu0LoVK19%F~kzxBv;B+D1nD%~=uqR3=0=pHkIi`c}We3smrTM9|3Q4`yh-Qp>BX zWY%ol-!$X19`A7>Q8GJw-C)(rEC{U*+`pTgnvU8@p0$L`XFdRJ~Ft3N4;t z;kOZQX&vJ!+k;VRnqmv|4bgIkpoILBwEeusRv*%ubJGH4hc2blG{Xp>05DH>cZCjb zW30+(UFrA^3CSL?>f7rT{Xvz5nk+zqKp}+`9D$wXKkcZa5(w>H!(?7))7_rRPDyMvz9iNOef*250^23{q@Fsd5RSt98WS!H z&gGY+rf}ft*kt;<=ze!Q9loPE@_W{i2L%8swLG3Y&F3*zcNGqNUxce?KT6lEsLBdF zOFQw?Wl!pg!DPPA_+83DGGsf6hfmPdL!;FI*mo+@17Za3-&8kFOX0ZhfMq&DfKLAN|bzhS%RH=bFIGS)|Sw;sjOYje&A_E2``|-xQ+eI z!Y`dP@M}QN(qi|`HNp9I7Pb^YTwN>5=kG)m?*(9_74_Z#39PdA8GhFttv=1+YG>hq zL14=C+!sC;>DEMy7$QVT!!4P{+sle7LgbUe#qM1zW=6|aXGPz;_7H!2)`f4*_1BUYv2O+%H{P_qn1OGB7b`~<3ZiAHocY_g+kV}K%g}J{wq#^5$e!RqxoK%@bHCo4 zh>{3b$Tps+bwKVkJ?87o=!N{S~s&S`xo(Uu(8o1d?jRLhn-g`gNZh+pfoJybfv%|g z$B#v5a~5Ivc!zBb>NY&4-7lzk+ea-|DIoS0TtrghFkFiQVoGS$r++CFj#GS_0`Y^} zM{Qm(W;7(!%se0`U)!l$|D?Hz*Y147aIB33U6M2Lhc9V1R-o~f>U}I#%b?Gt`KjW4 zXQ76M@qPIkT=Epef$F0N_ViH7@hFieO)wKVwOX1q=(z&Jh5`~}1Q=2iMBKSbn-0kv zTsMq?v#8zRjj{7d+U>J5Q6>%S5F&pvN2)l$oOeKA;Y*!15s5`04l|!ju)X&eOzy7z}6d7(q zbzd`nQ^Lf=1o;qc#wyEV87{>q3b( zz=8zhxNS193@E4Bw~VP@)*?;w z?n3J!3@S@BJf9;0y1L8!A6FXUvl%R!KKG4k?{70^MUhg_rU9hcsrc0FI@q*IOPh8<3Bz5?W*0}>1frOqrO*HS0P5Vb$m?1d&Oh*$q4X6(k3C~5zGvCH5ADK_||-m%JPn? z>PNVG{-bQ(b#`F}t(UlRU$#27Y&y1F2(~?U>U1%Vy^#>v>d{Odd#hRvy0*s6lGs({ zHF(rPI25ulQw(^Wm!LTY?jLt0{X@OucAqkee|NaZ33~wk2Ck?qEL>=x#Y92+A?0fNyT?0|I_hvRJ%!pJR-F>pI_q`!G} zai&uJS~uo!h?4BY6fN$OBR0n!RYsscRb zQR+~&O=`CMCZXPRE#o&ALs&5^H_4su*=ln;85;C-h!@VUuXH--d5BnjBqD?l_LlXJ zZU2Muy)e-sT)C}&G5rwPQ-rAZ&(Dj2LqcA&r{7^EP!eJ#3c0X=crHJHArN2cYy7}7 zJ(poEk&Ate)@on|e38+`Daur?$ZIEHx%6;iAM``N2MCBkz=u`|_cv;)-&4$+N?@Xs4A1U!~^DvOJY zMS1)Qi)jfzKJWCLj`?ilNnfKU^cJ)8+1ql`zXA^f1Xc&5Go>Us7d|QxhOV#{4u5xF zO6i0@=n_6YK3!=bMovshf=vqYpuwL%-%Q(d&Q{Oov2Iq1rU+71iCu3JB!HjU3jWLt zI6wx`a$#o6MnXzWwvG6syvm#x@?11-b3*pJs-J!*w0UstxF;hI+Lh`z)M=gWU0k>p zxA3>!x6dXjPmmZTieGx%n~}hZe6OoUQPJj{Zqu)(Tt=UDAnA=pNGK8VML5iQNy{rL z;9~k_jk|TmrCQZJsf<))z}r6t{K0>SCxlD37CB=VPu zLM*9=jS)0v2+|xn{7lsXHI|P|F$#ag^#)sqjU=~fT+SO<|4dc4=w}aPs^Xa&YM>&{ zJF!Yc5hA%M0)9lVOwSG%np5!Sn7T=++W0A+_zh*BkvHfmOL8{-B&c16{K&3|yTVLt zY&n&cG3Q`@W+Q>O2g0P;9k;UajoL|DWIy1EW9z9D=bM0wRfTJ!NeD2viSu*MXB8KW zm`JF5=hG}AX7xp04kK1}{e`qMDPvLuN>8MvO~IEfOC061Cbr~v3$#6OjQk|to^#-t zark|-dcaGL!w`*`IS}%+ke-W+(7*M~fQ4y$2tig(4wuKi1vow+iO%uf2AyN32GE$W zk{?M)N!bgDil%gH@N|BjrNye7nu*wna!$?3LVOdI^DgE|(AT3&{dS}>^8VyzTPIj{h`Ul(u{swf@Ht^}8 zzl_vqhk^}AT%(W#P{k+|0<<+Zkibolqo2Y?{awqBo5O#t_5PJIfwJ`@PIlC&sEs4SZ%NU zwu%v-+`gOs{^59-&fZ4N%ai1me&AS!y@esXooN^vk*7aG z?--WvPrjBKL)-1Qq7hzOuYg^T98Q5JvMuqC?}V-3QN9$#=rX3T^sgKR5$PWe@#2Vz{thNd^tKXFKIfJ7B`ls& zlrVX*5n)wLg6P8`dCAQy{4s!(Y~>Ngz|n`|_q0RwcX0ICz*H+{T=g7|OWHdxg<@i3 zk>?ArNO^gp+v=*SZ#w5O(adKgRMD3AV=O@E$`>SWi{4DwM) zegCkH5f1Y>37Rjd-tW9VS4Sb5ckUENFnHMtf3l*+k}rNVtaew{`;$Vr6=FF4koM!R zv*0J{2gbEoQ&YmiSysK5eA!q;3=fok$WnQ~#EDB8`0{Kh(nMO}q18w1-1`B`!j^3r zkCnsQO@Dq;D^`y+GvgM+KNj{UB%TmDp9-UjWt`JdCFtuB2PU32rd!MfXuPQ1Dn zsZ0;WBOKcfe*ueRS@q6yVHmr9ZS1qh`;}lI9uWMC!uf!|9kiGGqKQ&A|B#9m7!{x2nA`V{|x#~8mLfcK0wm( z_e!;|^heJu$fHgWhnvF9?{%dWZqA*J8JKD>Z$hjBQBl3McnOyOn$+I zjHHm7gpexow{Q83!?^Y>0_H*p==@6QUM35w`m&|q!id?gYSUWpb5;bBnt1BH1QHv0 z_}oYJH%(tBMAso2-Xo*CcHHhW<)lQA$HUX46b2;XHrIssgD3S$LSO4ES|CBzuYYN8 zx;@0csT$_oiBR<$J=3=PrPdVrdt)V{xzVOc%efM#VwAG?*E2)I>5l(og&Db;qe%{A zrv!0{e*Hs!{qy(enR9Xrfd&kgd0Fhguy(Y4uKNUTgp3ZdWj1E~bz>}?aLfqq(*}7g z=Z{(NFG;Q0GW7Nv>(r!~pFX|dkWFttFfo62x5abwm2I>2b?#0)(-%4Wi!=cO&Ssgu zPAZfG3tq?v^z9wRXsrVsO4uu98sWb0Gl~>~7a3$xR7#G?38aPZ|5%__Gtn{34GM?uHy>+%d^snn|c33|eJPuZ=iY&M2-?74pc!-y!q@esh zs++Dz_{?)-j2CW$=-5;$htrX;met=Lr(>SuB-MxieaRed^ertS{m@PtDNu!u!@g<;VT73^kRZ%5mKLk$nS~#AKl1ACm(|%K|?0Cca zT_R@mO-B)-$w&6()WKitnWGz-qnWc7yMyb813&-1w3E3VxS+Jo;-s$U{z6|C+2-F% z?lwgu!b}$NySMQQyubZRw_NAv!0gtr_0)dqge0hM?Z89lT+2dLaeE~>>dxJ!YoEP^ zG!)U*IK7R>BP1ugYXS2`-ZE1;`iD`oI$?Sew`e15-~Ax|ZOgjQ@w&xmJfewbwC92! z{W+@sIpUHn>bgGd%^(+|nBOJwF8ZkYuPzL6_6M+Ul-Dlb@H2DP7q{L>wK+;3^Rv5t zz#0FLshTL(ChtYhkN&!aT}wss;k3#uQp?wOB+oxZoP3JE*eJ9yGPJqX!#{HE1t+s9 zgB&M~XyUIMxAHN~(6VH}WkB=2$e5ENr0NvaEMl>UtLfcH?yS|$to7l*`fm%@Gy8h4 zm=PY0XVa2e-nSZhk~N1LES=pw>+9u2Ev><@J!NUfQ1vy1Fp>zK6&*HM)8`rG_+ z+=-8O)&l8@mG_doJ}|)d&}@&^n|N(?&7MaHNT2qO&aIk0!aM(Igxh^tN-=TFemvIn z%wvEPbvg7q;C?=M2=4mgqLM7>cv}_Ki|Tj66Yr0Wv$mV2i{846Y>HGkLak79F(j?F;*l%ef8 zJGpRvJh2mgcWf)9R5x+f6Fqvgx7J}k;i|i{)uAWW+rM)js%$W2&vklWvi#FXdfYn2 zppB>!@_)z0r5H~;o=NRI%#9$dvtQ|7=(qBD)+;2dxWFdf}Z-c_zf36 z4SYwmj6I&+)R&eU@1hV(o|tHbY1aYay^1ShpzDM!7J~Zsz*3VhK#W7s zMpFTASQdj8*Pvp&Cqh)~d@qytp+Oz0wh2yRjl@U8pZ})?Aj=$G?O)Bv`$VdGr>g4g zK3zfUazB11OI~P1#+d}F(ukTSjwX)G$ayJ_P;1nq;WQ;Q>|;a9R9EJ-am+Uvl`ctH zYhno1@Wodbdl{An&V9idEEe_OJ;V5*=@cB%7x~E9#uZZaEUQ=%!{Lv-YVRW~(->b_ z@K)eRD8~5yy21TZ{1Ab#~Fw8M04LoWg)$ zR0xZ;$<4}$ZJB&c%Z!ywUmOm=HReH5ZV7d z)cc{qIsI1i9Ey0y*x#X;D1tZO`kVom4RrO zWSvjmM&CeN^ZD5`D^|vzf$9w|l=vw*^`hZqi3E>d3<=dAI8f_9>O{#~uFvOfQ+joz zkfEpI|twa}uW(F^Fh+dWFBw`i+v%t`jY8&oH)( zmnvU&LnCc8W9+(V1}jTw!6zoHrxkwb2UXp9R0HeWzC~;(iMT(^4DAy$^I6|y=XV76 zFNwb&=B>|na?Kr0$Y~9~Ad!Wblk6w4_6u76etXclRv4d@M=j(iCqY^XuAvJ0 z+E|&7=<5mBTY-TM4O-K{WjdbO@DB`5^zw?gh*^6``KQDgc=!rNiVha~c(l&Xj* z1OJI9a?An8K``~!-Sy1F@roMIsWn_Rm(j%R?_+P)9o6XV%s*(0br7KJy*N4(xm->I zVgE{51e^A4>dU2RKoH+IY&OR^^*6i$gW83GFeR=5;^0oI&#L^YZbQac+N420cmMf2 zr6m3j@$p2>`d#K~{~ZAl>r5^I*m#@N{=96vJEyTG{d-Io}u-K?U=&lUyH@U?uY@jk``0g;%aQFLF(TP;Vpmia3p$3N5B>X}wKG!)maKHfQVJ0B3Qu$axI z9g5aauRS1nZND%)@+KqTW5xE+$;3tBxKw!?3@#cR9D-XKl6+Vm9L~C)p*FmRCGkVp zw#}-_@iLG^u4pLE@H|pn?D(u~hd3;-avxh$t7G_=w2RA~u$I$uf7a;!|5?NCc2D0v zeX;uUl2cR@7%u^y(F;P{CxT)s+@C(>$rAY!=yRW#7!aLLa#Wc`JsLT0<*4`3X;3BS zW6~M}7fjQK8y)*xVkuFd5+)av(Di>`UgNv_ULrPiL`U~K#noldfLv`Ww*-|0F;p*# zxy|+Qat5c=s9bDxj1N{q&TC_wponpZTLY_Ef{=~Sp7;rqfJaB@LaiQKM#lMw$MpJ$ z3t{Nj-e;Y`uT!MQMI#Sm*-nIt&a!fe1iy1ZjsH}wGj~d z1rLi3iVeDeSZM)9F8(#VIyLY5+unY^qyt5N^YJn8A?-g6&G742vUDKm zZ`xzUoAN;W%-4hGlNuFtOjnxeU9!fpRy#`jh*QQBiI=W#e6bs2$-^rMZtsj%+oj**n|~K|?eGMDvo)OOu8&nk(;Fi0RG+Wk9`iG9 zG{Dp4v%^iuH8ew9ZY8csU4JYaLEZxfOC^ZZs^aC9)-Aq&pZsz$=-aoG7@^ky za@=aZAnreB<>7t@ipPShhS-L!OPk=H%e@2bQ3F+cF5A`p1d)sL>6K}5VV#j4wkyn* ztBt0{oztGylc&Y!sin=w$x!L^5mz{Oj})C>HbgnVieIyBOaR+3Mf51;!=sEa_Jz2b z>92$IVRXM$#KM4V;D+%KfO_)qomSxg8W}-v;3B&B0od*C=z-2!nDMKrMGwegK)?;_ z>eLm63!T{=tMz;g?@v5-64w9f9S`)rB{U+UN%TsC2A0b=q*@2*6keas&J&EYUOvWf zz<&RUl-9#H)oL62XLgkg^dy`&i2}{c?;4i=>HYc{^<-ehL{;kmT~wv3ZWdW3tkwSr zPv}g~WASMCR%;i__OdsA2YF9;41bS$3HLv+j95B7iYyq@jq;Im{m9o(8uj2O`l)O>?ZpB zP-)2Rgql6*qx;p?Y|5A(o0_Z8t)~xfne|wn(rZYR z=unh3LNq^DWO|nO7{(MK0$$O1B*E}0*fWn+RLlW8hKbDK!1{rb19o2&Nc69eOaj9u~tZxP%M{QyXeo!&Ri}m8xoHp^ z@zdK6smFT1!vceS}M8qQ<$LYWQKNwUGg+EK{T zqHNxtXYfT$MNM8vUlO15GqcLRZvmLm$2t0F6mWx-Zq=vwqB_NMI1tV=Dw_T&o6X9} ze*Ym+_UUhwjH0KiLdsJVmW`9POPABGjb&M-Hm-_s7+G61thXm z@B)m>q2@z)N!~+6UnsL#i=C;3Q02KDH;zO_a6>i8cz%s-y8NaqRMfLmp>n?hfjA^0 zc72ruCkLeg4h{~;Nc|7iMk+vXjU1iex-~U9G)&m^lR4K}#Ag26JGqj38QNo4q%c9n z1l+U9_FplP$|}%5eE1My?Yi7t^uo@h%YI6tn-H48#6?shA_;9xRo#lO%g=Qr!lyQ? zk`n^(fpk10_~wKK~qV_lrKFcR3{z}vqrIy^&0gGX}Yl2o&dcr-_b>ji+~1 z&QHAtHH;Bu6a|j9%hw1F>msh2I1+mm6NFM!mJpQ5)n>yA5G8Uloe`LRiy3RkoGQ3P z4mS@YX7v5{@7|hEHGlqmk!yd%R!#C(LsPTs(9a8ssgPR5EUtdBt?S^H_ivlUAT!j| ze5|HMyLTxJ15W7VxL=Mr!xn5UGjhlNPDUBa%21n%ao}2)XkVB3^&3AQpSrFtOe9bY z9o{m-$J2e2LFL`D|BVG z34kpJ3pkGcfT<8E?E{^w2^jcA_2~zCc-O}nuHj^igDNEfM!SJhmX47zILWsDEoe&< z(xrk4Nk|ww2WiKi5t0*$KkWG}#S1Wjf%MTemSu%kG~p2?uQs^amK`eq8E4#JE^eDY za1qe=GY(k3=~2)MWQ+7xZoy>_Z_@$g>>f{r<+$=xVoR(pLL`hSYzJLX<#8OVoPqfy z<%WfBdsKd=Lz6U|cbqTPbw?{K>KD=^e9X{Ck|s;LLi~=*9`r6+*X&ABG61C|YB`mA_hosZE<4tps-KSGg=s!{=3rh7pvNr`EIA`HBoFxUORI zhlDq{@+Mi|)5w|7LDiNVOm%)&##6E(jN@O7fJxX}dRk83#8s=%L+LJya>IlHK8hC4 zZ6i&8UzbQL+v4XZ=v+}zipCb_Xv0N8N#Azgo~ z>4*x+?R2@L(y)oe?)z9m3B~2ui}5X-IxvH2zo(Z*jMIR;ED)c-eS*r>cKYU*DbbE1 z-HP|#*=KNM=H%4#2}~#QzWM|DZKPQ%79uS`Vzk@jh|ild>>S0{HGT>7=5 ze&}979G_*!P51n(^*O}g=>DLgo@W~u__wWYYv>ozSUkVU?{&86mWy2W=f{|Mmz&K| z*o+Q4JAW5(Uw--G8=l7T*4N*WRL}$a>SRVV)op#&c37OAH-$0nM7Sr8)u>zBu-tWn z#p;z6RFIkJt;!}+QthX#dfS|tvXKiVo|{{acYUxRWuAfYH3#(%Z+3y|^wuAH{UY7m z?2VF&if)HZ`}@6RAAk>y&QTQp)E`6toxDg_!Aj_}g9FbWsfu+7-@1L9V%ms|p1y;i zvj^FV;g-Ukxq}pXg1`|lcfa{en*nU9#J2GH9LIC{3RvLSn1naz0t8Uz86q&7T^lBg zPJHf8v+8!w^~b5#zQQ~7xT-20SzCYsn3-8w0cTq+X*=^^4I=$}wuo}FdK=q24Fx1`QLdxYMU*tSchC33C0}Pu|luc+e#d{4-nm) zTuLuDrtWXLU`5m}IM116;BL7~{=ktlAW`FF$b8GJky~N^$bv*+gA5zZ>__6=T~pQe z-LZFe7G-7Kzo&2sn=J(mq$jN!Q* zEs24%<)065O9s4qqSP~UQMZS;x%aCc4-K2NYf&kEydsk(EnRBw9$StjIXrehDo$pK z>mHu$>bhD_2bS^{pEbJg0U5stjfU}D`&&`H`OL8HPh0{+-+)<=@jUuKc8l7(>du?A z6!tUqe;s##P>#PbPhVKUW!dB)#=u?C-!r2MiO&I!Ji@x6%o6HX@@hF0OYA0&JwJc> zaRaL&<;RW%^YBg!O}z2{9=JC0AWwGjdaT-e$#r&Q{x^@awIsTJ$b0Y`&RSc&qQYav zzf;pmhaz-=2c9;|5{N@SjCIlshuo( zesVYM$5n{7p$~0V?}xd2An5okD;Hd3jsO<={Nytu8NUx9~DOwTr>d>&pNJ%9mmMbO?VQ%erFx4NZPnLUO(~gcrpOlx6@)TCQgXji}pN` zl9mH=JBjd5&dDWN*_F3~@q4b{JL-q=v7F!>bUWQu+rTj%c+1VWrb*n3TxJX#_ zzO><8_zK&#ynR(tpIqqUg&BEy@(9%713aPvX#=Ka--<@{F7_ze)?R!L=p7&6qrcC< zWqW>K;?c;g`N+hV8QOGx72EOZ1Rzjvr}dMln|XQNGx?^Bkub7$uzOmFfYLmu7}3hO zcf7Jd;<&WIztf41XiM&-n#*)|+VSwF-BU^y;a&HB&T&N->)k*E(H82qG96-z{O2|OzyBhOc0YcLexF7b!$G=Nz=u3ie2>FC z)sv-~RM-9-)E~&n+p;z`td7$v|2_D&t@s`yZZN~dK74jvVq@o% za=$tm>p@;ryT4Z2zjc5#UQ))LOhx>J6ja;iHo9HY)!8oNNp-8MYf`K3D+}7YKaxr{ zbZQ^ym;totxpjIIPwZUaqM|$`qS^=yzZEij?n{QHa(_55e*)g$wt!43NDrpMBI9>o zm0lD%B0*cgj(P)D6N2c3;YhhOpAhl$QzNnSnamg33Z;#^SRfZ%fI;7#FF3l6Af6zE z`pp!%*XX87CxWj0U{Pv@xZO83=zg9C)Jk`q9&zTTxROtM?cpTms5Qjv?}{?D(|b`*I1{uDMV2JIzmH@J7s8a`C&J7Re5RUH-B};%$9=6j(NPQ z7D7RM_)P}6ZvSnedNT`FHMtR9B7M2N`qAc!kQ%XPZLH#{GR~TAM-R~z;wst*Mh3*} z#HTE{INevBiDi~0<#|ctxol)>rWy|S;33ESjnT9!D3n}G*y~FBQ|TZIRZ?zF{fBHr zM8_b#q3lCDyMfdwE*0T<>l~%Dj+*I*>E8UZ{i345DZ*H!f>w&#q?4bU-pHf{*+LQe zaLI5#v&?4YhuHPnnT#jyN5%Zdmklpl9e9Ve8jmNYkM~SejH=`P*Tgr%D-w9z$sfel zWa}fZ!f{VTcYbbK#|*7I#I^49jTowHYLb?x0<>padlFH0keij`(C5Ox^JQxjXY>+= zUfQp{)8=;kMap$%{@G@Y*maW$g@%^%?P>iOTMhWN+kK(XT^Nv~?pSd~>s-JkYu}=3 z*1it*HPNro`cM16R%@(@0d$6H+x$T?w>fTZvLlvMFz!YMGPxt8VgL6T)rRw(o-T#M*_)xK_piW!j@K;m)`m#Mc6^p*8C`Rq$|OdcK~ygsepxF>Xb&iO)PYz zFFRxA0Ses6NS7&IUU>7^4B7n=NJ(<|$!A;oyreV|P?arqosKSAvSh(mq^qv-cUSlO>L_{jKU6j$*8U&;As)%itWuBD|dZbWH*{@ez?;R5`zsj2*0);J54 z+t(qs3WdvR)_+)J5mTt&fazlMw0Qg0))}%3!bJ;$|8sekc673ZnA)=Emwr~9jF^qA z{actuAM?){? z*`$}iPwuFRdO#Lkk?(k>)xQp6I#1fDFD1ZSd*>u=evc;_W=9wg?QuLa{);Y0J-b&u zQ^cI*Jj57ddyWAF18GU~sg<(GPCKec+L@KVx&57BJwN!{#+~iLu4LM`OtZtbp52tu zO6PqNUy}FYrz(mT? z3d{+OEuBTC33(HTW(1kiTtk#8>X1z?+hWWtj&GW&7|}jxF_d+GX4&p>pFWqvblKjv zWp6~}yz{KvZsgryNy_+Wy*u4)2BljO6x^=&5FUT!sm}IL*O@1vpu`j_<=>UPZWb2! z$lo!6!;-^Du#NJyv~ zBND|-_z=fKnIc#FhNGY9(h9zZ;;xa|RB+m>vXNXZcj_Vb?i#sZhlHv8?KZz^jdr^1 zonsdd)5#e%rsd`iyTx9Ye2WbWFZAuc0rE8y-yYtvVF>OSnXRN&_+O<%_IfsZ$#JnR zx4Vg&RyvYG&_iHk+5-o1**5Psafv-_*K|NUV&KU--x;|zI|gbCfyA4hGFDK@b`j6x zg%9{$7ct0;1~ASy*E2h^j=T85P^pZ;(gShygn$gv&ic* zpUHagxQkrHSrQR$mNY>lsBqHATD$thGVkFhw@E$n2j|QyV0Wn9AAHhwO0ZSZ{AY%2 zg0Joc02ET0dA=mYBY0;=aU>^+l9=a(OqWg)+g>lE)vzzchnK}wNW(A7U7B24zeGMW z+(s|%Uo$g&Cdl60kSu;Nr-7Dz&oi^< z!Kn)o<>khFNn{)x!9f1p>`Zf00A#f#bq5o3a!l@8&6ETG;c0!@&Ye38a5V>p3vUK! zkc!-o#9M0a+_h`T0fVcK$~JmkUcuM+&$nxr<-`xoL)3(>iuTviIt-~0iHOEy>}gg* zn2#WeD~HMuolslrR$h+o_&wj;elt)!Bd5MVck3f;OtYt9>1~#*n{;W+ivSQA!DzMC z*_cYxlDd^uIs-fqe|L4n8Gh-cW_z*m{Qw1k@4fF2O1B|e{J_2sx$T>-ulSFt93(cepdWw0-SkIiyP5m9_ZaDa*(`reZS04C*uqgOcM8znFA{y1-8G&@X?AgCGd zql*;zI#K7;-QV9yQ9C+mM?^-a%*e)y_r#i9jdQr?QThLA0rI`glFo!`3R8*Yc;9IW z|EbwP{30&KQl^0EtxL&HxRD~e7@VBwsW=wr^eVG?e|`%&hv1~5MT-lEGh_J=__dmL zya<)#jh7-9;qCKZv}s*}e;j7_DnGd=?zm5qDyb!lcn&_|ciR-d3QBQlIu&65Q!SVk z7Sv|6y!}4DFV>)GvT1S==T!r5S_V^ld&kYAD&Fr3lImQtCjB|rBQ&qnOc=X3X-S0z zXias7DwQL{cH%?=E3AZRm(XQKw|@O>-EDQ$A{u^Eka#}Yekd+S+Sh7(C?Pk}Xd%Wg zrZPi05Z*s8xmW$keNty$<9N8r+`8_37#a<%rn`E~3m)ZNN4$S?PXm)`!GIh*`ULacX{$Xu_sCA|ZMWgad)y zrb1cX?^|4M%g8jm4SVvU>!*mi`jBTIUzn;tmo;r$O3JN>kJCRhj@H(7)>b_h?cL{^ zQoO2J9IJ~P*r~s+XbeUyo6j}w{V;*pfYwUue`IC#M?FA*e;J-jX0xJ#g$ zhJ=Wsr)z3g-Y)llD9y9GvzWR~P6$VwUN8XVZvyXVpw^E2(lZ84)1QF;5AmJAR?2s+ z);PF@Xil&2(9o_#Qk(UYZx%wQh>(3=F}quvIYNmPhiZoPzKI#b zzv7B+DXTnw`~r|9q{SC$1dQ)n^!LHLGyKKq)i$>2HH#~AjvyYl0$;`~m!G__vUAHd zTyRPo-r7C2nU5|-r&RSfm-FzatSPdy(1?f0G135J z6My?BGnVUHyyZvE6O6nJoQK1LI@54uN1g+Julh?0D-@|bTaU*H#T2;MANuEt16-Bb zd!GQDaT${R4i_6mCYMLZv_4x6|(cWq3s`TMq|CU$t`l;GGZOt za5y^M*xUeF%gSNncy$pT86WvOO2pub-eL4wJlBQ*_BW|p>q4aOSJ^wkcN^M@T|nqn zE{U1U{@kBwypPP?y<@r~l~4e-X`Zac_{lv|=@oVjyd17!-F}?sWrd)S+54!dd|g{LlD*K>RA0x3J#8>_nCO2dkJt(+CqNGvx?lkmCmbM5xSKY z?{9QSm(`VBQwok}Lgg#;-Iso%qK(YJ%a@3gzw`{OUz8bYWD={n63bFvyO5RwC|%d{ z_q9@}!##fG(XON@i!b^cf1#Fe0H}FqDD5%^=Cvh3PLsxe8G5!g{-Njn`CV6(PKqp; z37K!@$rSazJyulvd`Uz01Y5R3$+qZR!fT3Hqz}hU&sC(vgL1gRL31Oc#Plwk=QDdT z|5gde2L`1VCE|PsX+I37;NL83V)w3V-O~w2#c<7K_6QhRd%3feR_;Ac>~poPp_t+z zsiKV;WgR6lYII`pS1uR(g zCF!e);&0S%?V}f^zakeaP5PQaczH6wvRP}zH=u?d`%&Jn9j+SiUFuetDRphj=k{%; zCjt{O5+QE+6rd>xJn<~!Yl46(?cQq9cYpW87=&3vli0d8R#>3?DK##ybiG+rS^Y9! z7QwGjK;WP8iAiWiX5@~u66)j?M@>nvb{kM!|Gg(0XK*mlM`xhJN1&%b#c_B|_!Q_kY_@`3_bvv@7u$#+=WMIiAgN=w#?t z_&om9>$_V^zU`5?T`jQ9!~b(a$2Zf81n1689!+bhJs$KWEuuhZ{QnmY0YN2mY*2(nW$1Gnz3(Yt@-4G*}8QUt!VGyBu-G1`q zNvPZ3$d<*AH6&3n$z$`=366>({x3P6OYmkCfM#mu>Xs?7lqHGq=m6)`|6}Sc!>WwB ztznch2q}@44(aX|q`SMjbCU|v-3=lo-Cfe%-O}CN@8UV>zWTy8(SYf&&*;+&SA&qn?wEacb4(|IxH3vJl|;SCgl98d-7TToDUwO8gGYx3D+4x{s}M)4NVLEX$H3? zSC&E?YI;~+BjAu!b1kg&rZ72zpyI$BZfaEmbyr`V`94IuEg2VlMK8G!WeAvSQ z4~}SZK!aC?@16*xhIrD?+h0b0hNUnYkqP;S9oXssK&0EFGeH>9;kD zbJKn05nVwg#5M<*V4vS#Oey~CWF~bo7i&S~Aj2XCGza(S-1?**kcc1-?_9C=cw2>KxCNYkui+Tijw_^pck?(ex`*Z_sKA(HMS_c9SM25IEBmDmO< z!+=N-z~Zz3oj)0q$uP`=*_Roh8?!f6I0rs-urT{S+Ak3che&XJis&9l-`gySsaWwe z#`&qs^AodT0zu?84eBxs5|C30jb{gzckI=t+iqHOmGm8JXuo^gtb5x^02F$c%(uR} z>bR!bY~Z8!NH^BJ%wgXTw&mJ4wNvzu%c6KECME{fLqIOm|NRwoBG|2tA(OgmgVvkh zA3{u*cE@ngzV%szwmd=DIYi8uS#&kYn;?emN_C$0OLaMwY2apcyRRXz;#@cevx~td z@8=LBiPm3zSl9=w*J(31eIwSLy4-b^q5&be$ZNWka7=JnSW~(p3^0r#)$bh@9cjL z=t8;!&N-bFoL#sPD!K#IJbW)GqAGz%3s|G=sIgjj$#iOJJ_3&2iQR1QO~yh{r7_!Z z@{*pB8d`-MBALECoB_Q?dAEsvXfP=i8RC>_yRNxanLNTLsj;^1FIl9lH|i`J5w4h0 z_$mt#$fXNGCAZ#xZn=j{llks_x6c1LG@jHjk1whQHRgY;twc&_M$gE@GOJ=XM}NZjQtlU7nYuzmS&k&eB?vK%Oo zoVqPdDyxi*%0}dx&FbrmiAnY7zg?-Np`k4(qyp(x-o%fY{a1hW!`o3YzDinhpPmL4 zAKUdDOZYa^8qS(B>Q&GC3`{B>W|fz}%BuvN>7i5DQkot>$>vlmeo5O?3o%^8dkfEf zpEK+CZ-$g1K>7kQTVzi5oXSUDt1U6fWX2G8ZwR79i{>ZB;;QUGuv08A--xtl&pe-B zTG)2zyl&4C6dc?Q{(DPH?&%#%{M}h70LkL|ca8Fp6oepxrd^7oqM*=e z7X16)Y1OE#j;MhFG;Ko6Y#ofg!Fo`LOlaLOoI4)k73aYfC;C@HR@U^5$&1MKT!5u@ zP7N1Hm4*keuB(G7nl`1DQwGkxk$T_OGd|q7!2HbQiBbJwX$@=MrFLezOB-G<=8z0# z%LXyp(#84>oD>L_N5^w2N{HX#8c?*@^hR0Uq!KeDG9zkTuR1lVR_no^w=53IjHG>^ zo4mXf(&1+NPf9W?r-pSmDrKI`j0&;`wvai&m>KVpzx#(b%e&>~7IFr?CuIkppw{%M zdF0Zd#~0Ufx(>fiIAN#JK(T9Cd+-*AkOGj$o3R;+cb&rb3+2D5MFvHnMSO#4)ZLPA z315)Y{lmjAuyUZl0{1%9GO z>!k-*ykN|SrN#S1NLQi{v8ATl=y&pO&d2Y6;F!$WumhbkfPv0!I&&2)+-*3|4V=_# zK{0btowDA0C%Pu%5F2}#$;hDta|9Bko!#B~m2=>rzy}`R<_jMa7uN+gld!m)EhAvt z4oZPx;_nwweYrW9c>WoR!=*>nAsW7ZZxo_-yCm=Y(Xws-lwNoA1DSMM7uL3B=-k1x zBnw;PY^6Iq*SnfB=S@ZcR?F#fH#J9e`z9_;NXZfRqh1J$!JJ#@TqHU^eQx#sY{k13 zi;>&4_lrRhD*s9=!eU%{)YP$LuDIX05Pi{vo|ngGF<7epdGMcxzN}3h8OjjlQ`B>CE9)T zp{TCooUqXqwCW?)n*A&nD$=b|W+p~uWk3tx4C@hGPovR)nb{_W4EmGo74Td5nkxFm zU_+F^`{rZvM>mJHA_qERmgaR%R@T{$Wzny4bvxtF#AMULa;voQG>_bdce^H9k|M?* z{Tgc&%B;}1-q)1n*}`LN<{;p6`Uv<2FuENWiiD+oQ;g+{?9|o~ZL0};d5SbxjXAk8 z48Sw>YcW$Yl`#ZV#f*lty|mXq3j6wo4>jhh^jJu{+$m_5g}|eN82Onei%*O)KNOoO zO0PrI#mxh6&m^Bt77-MN`IjSW#~({CaZzrxj}uYPIBlg*;Wca0aOQJwBfjAAPsuqF z2mh$~CpP3GF!A>jyUqK#{63=CopWL0|ndP`1!=IyuTH<|}|Y0J^ZMs_LI3r!N*@ zbhxtO*>OuMdJ7_IgIE8`db<(bzGFJHc5NT};2mfl0iE>@Q|4&E*rlk5-VuOIPDbVr zG%P^C?;RdKVtGX$b+HLI!kdK1f9%#M9(;XrfaZ;Wb$y<4oZC_Ycx!Gjs#%oUPH|>R z^-nR+IaW6+>656ds_Il5Tv3i6&yOuNTMGvEK!;k>906 zzNWMG)UqO`TMf1{(1V^g9%ej8$d)(+oM6i~Nn} z!uNBE&+jq3RovmcPqGUv+AQ_0ym`?}{hMoi{sTQx>oYVVxtMn-d9mFW14bDg-N>w{ zA!WB@q(T@vgYQ~|Or7#56@Sn!6#=%|AcBd(5@xw9*VgT0&x#%^aRT;B-Vh2}F5q$0 zcP3_Hg%0fZ)HQh-W_LzMn-WtlQw4oMf_@u(`zj|d4-n=KgA%_Z7szWM0z4#MAj4K&bwhWzWbJZdMh;|Amhdy9n(!hD@goYK$}DAokjKZ6 z=X|gK=xD>I}-w4lq5|ASak%xUx{ zgzyG`VrO)^d)wK4d%b&>qrxjSN+6YsYbI;9{w|rOv{ON=V57a{>G3>#%2fd^56a4hi*wVF_Z{C zN8|)82sB^)9a(hrL_;-Snba z=T|5ctJ3&upSn-)Pf-+_>#EoxTGYl@IJuDGoDZCQoB8%1C&!=Sd|)sU?%BlRjVA<0 z!enOX-Mx8f;3|#%II&K`zV!hYj9~%kKvwxSaw1^qhoW~rm<^nO7GUD1Z$$Wj%8vFX zcUSWMd-5<$1H+zWtD%um6d36s_yDR55jpfw5n|B4c|)55q)7LDwLN%OUbz&HC*W{j z@+MM=%rq{Se2Yo&xTPE#D*0DNL-sMRBP0E?=$uYy#%a&I!1eBw?|pRMrYdY^bc+N_r(sW`X?5)&1O^nnhLL8p`de)J`HEP{BSd=ibv;AB$ zH|$x;4^rray0OB@r1|dGbnBy>hf?VHq#P>WTU3QjR(XLu`qXVP_JF2y(|iC%K}Taq z2fvQV)gu@Ds7O#&9Tq7p1x3*kx})FPk+ai zG=85vBJmYMd3jk4#mv^|dLEY-B=Zei1M85omG;^~u8bUB(hswr*i|UZPw1FaRN*tS zXnA$+y`Nq$9o)_oX8pPwk!nCHKv^<1v8a$I`_qJ&{jY0;K(GHZg(Kw*;Il zIEbo)JS%`u1+*QA2i7mw%uipBZrHD1nz=S%58Z2t9xQ5f3^%hhwVD!>OZROKuKP0( zv84@8vhS+zett30m&PL&7T^vgjhgnR2TOf}%_o1~!VK~E{9sxdIg8}@$- zZC;vzwe)F^X$ zvR6TSSv>`XfWzR=H1dc7a#3jkyuY*G`PGP3&4$k%&8YAy%%gQv)5R1x?nAqYkoU_69fJ|An z{NT%Q*r?xle3(W1>l}Ny?b{WwmmlmX$;#FU#$EPX90`nvbuqpD_`(LhY4yh~?Fkv4 zxU6*itxwQ(7vy{pFi{1v~Ya@3>`nZd*rMf8Xm^(uG&TQ=+j*?+4%2F;Qs> zsZ${rFOO@wEIJ0Bw+NG?ECMIhp)dL4kC>;DtA}Scjy;IYsvE%a|F4;j?Qb5xY^xD` zm=Iz)EiAGtE6nz%Q#si19;lu8hu}>yWvM6@8bQV|EUxVKI=}C!Xy3OoS`OW>ll_a> z>6qu0SJR8vC9<$(RZv@Rt)VQgS~ou(-EmY zOJ%V5Bm|!u8HMWb_wDC!qnDXE0Q-r9e)kJBCUrlZh>aw<*o*`FL%)SQqv1@SuCGxHJ=h!+o#4U$r7&tsS#%WtTd3dm#JG7C%K~=XLx)Bm8)h68K_iCS`T@pxi?cIubq3#*(Tr%S0-x14h_$Vaii!?>a@&r~asO~a8~apy(yG^$W_Luo zH19GI!Ih-*ctw{u?^GEZo7z8K`q9s@;8mH(Lfw|Xj@=Wfia#!zg^Jfe9ziPs<8e9< zSI6}8mc_{U?1%ZwWwE@po@Q@XBEv_6ZW&Tm)*su?SL7bN-jntqX1wQhHbpE5MlEkY7B*%;x0{I+3$}=SE#F^v^bBr7n?HPqNg_s!Z{R^uT{tnNYj2dbLtQ zvvHBs!M=W@7m77bml!7P_(Iw6ih`ONh>3gx8mH=0j`=Rx-9)J*)P~Hxvwm4IGUd>DfEGTl|#{djr!*8ZnFtlpClt`E8lB0S|+o|;ahH* zbn@%w?ez0yhvBq(hmq@+(&?94bS|R)p}$MhYf~SAWhxdOQ#LYTXmVgn;&&?ZoTZ|2 z?C&Wztwq}y&Rt=V9tXzDvh1ev7H#=q^YVWM&RIvPlY&XRnNyh)5Qk$S8SouPS`Xf7J?Jz6HhrXYJXg29I_upu$;N|s0S*sO z`!cxw0bhmx^VVMxZ4EK6$(o^Y%yEWyUMm}MQELU$*@c|M_X364JjtF&r_m>X+{S#R8xvF;PbK zC%c8`U{*qG;K&&VD5xe3YM4U|5H7=tW^F^YMC~EEeZpj6!JQLYo_!Wr;FS_JF>9|$ zJ?+JU^@sBWZE^*5hL&Tdpmr89I$Vf|u5qK` ztnh=`isd#|?^Q(Cy(aa`{j)Ea=gS&&@(N4QtiVYSvO}W80YHl8&8Po+y}-y0<*f!~A%W(~agWEgTjjRotf&S)H$xTqf6(pi=!pM6EAinSI;Czl>#tbzmE+gBzEy9sgI#ytb0<*XX5*m1*X4>a)11OhXx@Pp|1HsUENv+JEG&F-{$bSC4Y2s z@(EI1!^dl98gQ4L+4fCO8)?(13;p9pq#adU`va~$;{;{zh;{Q4>pU;P^WT5U0}W=2 zc>B)w%LzkTy;0Eae<)l$LP*)Td>0Q8pf=vY`UZsRg0l&gOy`$e)b$bSh#KIc4YyNj z%(N$(We*Y05m`U_5n%%b?4%Dvh0ZKo)<<&9MaVa59JR+$f>3j=%`d$b`hWvNp`NH6^q|59vQOxO4inoo^p!mCUJgcv_!opo#R_mJoF^Y7DiNja_ zUehxF2uUTYN5xFRsFw;u<&G=rbavv4*Ux)GHH+HPX&-Y0de2Lvzo#fSwX!f16 z&$~^y=vk|Ti|kw!P%&3WF6_z&lVU$ZgfzI{0l_oyQ==FZ81}iLL3#(H^fd<~`s*c* z;}zohf2_T3=VVuU3kj@p{w)4wsq{xh+j8jRy_OlFv~g(t(B&9;piey4B@#5GQb_W5 z;4<`^h;K&1I|3ODYbp+LKZNQ++?++&>caOW?>I`R2opInL_!c1vf{c$a1cM@AcnDG z53z=Z4dq7$Q%P>bV^fwe%PBAE%J@1`j;Fm(hdvEZN5f3#6)QY9yPn}!#?x`v( zr@eLIs?++{`JR}9eNX^BCM{_?)5}rWxII=42F6cbev$}@!^4)1)I^>FYkwb?=(Sn1 zM;7@IqnEX7ANyGRSoBb=>|K29`o953_SNts)!r=Nh z$rH3m98ntY;Zv-R%sHO4semVVa4K=Fqdd8mUp>rhA5aJ?9EVlOc~6z|zJv;M(gcQC zy#Bp)2{c`pfKXN#TnI*CbXL}+A2*w2#LyB0~`2{Qr z%1hsh$Ho_qt_d4l+A7WX{q0T7pPNz-X6oEOt5A&`ID2_~ReM|5`WTA50{KehZ)X>k zH3b2GRx_to2|frK_(r8^OjQgI4UgP+8(nAFUF%MCPbn(J$}6i2 z7YiJ3+!$j^icFWPwPkv8xt@l}1QAS@D{3-r(;7at<8aaTnr|+~ipME57Uw_ORnHe8 zvDORDW%9ZxcTY)mgmS2yb_G0}n|0`~CLk8pJ#D#jKprB66jLafw!p)1pGuKl%}Cpd*vQfO#bN1iu8Ov;^Lld^*<@eYk_M9 z>oQC)P7FxSCGg{&{_G;sM@Z%fWW0AzP#L8hB;^6H=1F{3Z$jt@e#jHTV==#F3H_gZ z1pn{EQXJ`f5wwlG%?Sde$RrhOnY=198#3dNI6m48v2XkfBSdsxe^TUzu5QTszF{Tu|`KC{g2Iw-XU2j_Hehg>Oys8Y@gaJVfGLKOvab5Z#po)`y7cN4h1P#%Z8Dp3 z%S9jX*)N)5M}7nY$PTGFLwgi$geXX?$TE2EOVq~mAzL^fCasggH6?sX zM9E^t9%u-CbD7rq$Z!O-X}O)x4Vifo7ak71nmTBObH^^LSRdDXyM6os5w~pjF7URW*15X(IKQZI;&hsE1 zj_EUBZFc$xzUmDZt1yAP*OAj5m%qKQld-8iS}Eg7y*Y`>d;IThC*t}*27>us>VHyO zx3DBiJD3}{la)Ak_EhC>S@n=dulqLKWsUj-_;|^`8igp=U$#FBGw?`)93z?Y{TzF) z0!N4@-0BaSeAxDfCE0Y8c9=WnJd@}?L)ZE*r)P>a9GN4SvsK;og7MSrI8(5|oe{NG zZQ?S9sM|MwR7#|0na2&sbVOV#|Htvcmz`PEz^ql$t3^-Z5F%jjjpFutM;QaWc>(#lB306EzF{h-w6ig%-|ZYa z=9XAESDg#j#}KUgro)kxtNCMucRBB#|LVf)AQ8-dJ-ab0##d326BkG~2>vzulMwH$ zu$s}=AJBMu(VOK59M()4!1wjD_mvdmkQ(_4wqx;{r=I_%!KB|#jcXol5NapJyK1bf zvmFtVsZJ&;oR;-%3~*37ooi@ZYl2zwE$#~zS00JJ?Fel7c^>o*rn&D(OJf1OOEESf zD$1*38yEGzb;TVe$`5S#g?_{yl7#`UI1f21Rccn&d>ui1uK0^@rft z6Lu)SZG3j!XM7FTu-ex7uK4D>LlgsLYjzRS@9{WW5j$fEhWDI;=o9eetOCw<1A=bK za-KLj3tJvPq%7VLN<8O$`N$2wXH$1IJTUi^>l|KKL_yBQB&C0j{ATM;!(l0VNHkq3k$?NLWf}VG5TRad$McJ~fno zviXbW{zCU4Ew5875YcBUxSrW$n!zOm&Zg*T3oYodM@gsRUvkPRGJ;*=zH&$s%Zld@ z0UhFUcT*>r0Ac6e(whE34c9DTbc1Tun*(3Az9H#^*c2Xb6#JZa!*6Ce$Bj+yimK1> zl1ADHqf8fhNaTJL6!!NGi<48aj;-Dl1j~ab5CGb@R4Qzf<}B%)Hi8|$Nr;l)*T=&w zb<8QgP}VTB%$b@`#xS-=SQwKArRem@p*}-SnbrPxA|p*W6j zJ5guabL5WY3rTy}YL>!{gyd`9mRG3WJk{EvxS*U7w;|w*rJ4!99rqIt-#&4z}H8eV8oxl>y4I~H6l)zf-|o>%Ok1Z% zINmwaziJo2u@F*bDb_O@47Z0<#y4~rUJ$MH6K-J!4;UpOHU2sN)~0 z78$qboW4D78GC?U7+63i(D9B|$h8~kkjYdm;GC-Y)yR=oInq*M%z}zWv7Jduq!qWAbsiFLt~6QnnIW9IR+iWAK!igcjAiFq8wZB3<~##XYor8x-hCiu+Ch0?ORr3J>? zddao0@C;`IfxH!463>En{A}yP#tQn@HoZ|dca!I1RG%R(S5pFpPLsqTL{5JVHKuNJ zxThhz75cT17(QRv5RP)SIvKCsr}DRA#aBuyW}39QNBcGn5jNd%=B#T&H=XVPSPuVI?qJpWTv>B9am@ihE$bRVO7IjNmH48yO(5&aJ9|9OhM3 zguAF5tj@u2uVtc`#lEzSc0?T)e75=H;%Z&ArLWnlAup{CyC5Mk2_C~*HJXo4=kt}8 zk4A`M9o_O;O2aK$DftD|4(g&_*2X>eO~v-bhg?1B%=!ouCR$zo1S;dRx)lq2ZresJ z&v(T7X#W2WC#b1k++8;O>yt}l{b7t5C+l#>F%Nl)xW)6{iCFZls2EZyxhks(KoOw6 zuyxwor6an#n@GI1H#dR$ENl+#fWwJQE`cgN|-NymJ2^ha?C$7_0FA%F~! zpmbU(~v!@hdSXda?@mbx<f++Ue1!i;kt+5btllb0AcXS6g^Z)NHi8&-@R(_*ab;#{K3HlRBcxK4 zmS!dJJi%Y_s`Sy(@}vnVX-xmwDF6cl6KF#EI`5^+W4HTlS*JY3O~Ii%M9Q6M4nh$y zhqmrM*SIVSazP(2foob;80@ze6s({SqUO-2xZUZiamMqE`#Gaa1bN{^T*~ z&Y=ws@<*xCGC3vF-@7|1m&zMwzcE0$@LZ6H7~nP5+QbUOgNtVJd_+?`y-Dz?y_#)V ztUp!_FBo+~{T@@u^5H`~-wjEI_X%g-gaQNB{sNCkrYtHN-%nr~N3qAFEysQ9xu_q| z#l@nsk~P*>`(m-q=ZmruD#_>6oJZC{yV>Dl)LJZKYtt|?A!fBIy)5vPb@ToVDBzvV zdEYePn4y>FlHssc{y<^Cwr(|+Jg%RDR;4z6_x_BMYH<6c%@{?+xSP_wpGAky+vD+d zpu{I(TU&~;^3y+4*3x_~Qe?!9F4l3guc3X#aJkVd>!T)i&9d_{NWQG2*K??uR&)9Y zwtvG-6_%BKa~kB!MY2|=I+&ftE)Dk5&B()J5@LWLBHmly=$AKkbi@U3JgKN+cN3|Y z_z?w5NYSw<8_~q8v7rEqPfxtC1(&xjVsB48$m%9=Lm8G=Yi?v|4s%<-Qmv0OO+Zf% z-|rT(v1u%)sLJ2|i^NAz@bvPMn1m#?cPG&rg@{s#D%wBX@KJ^)s_W`-`A3(&^Bb2& zlbPxB@OTFM3so?UT-tTEKy-U|<^ag&h}S2@E?AV%F+P4k$Mq@IfnuTPHlH3AqglSipZr(-z?IgVZE>h`N+qxLmQqpGq z9&yxuzny_%!(MovL_h^RI7eK3HyvN;_Jj;z@4R6MV6?Wz_IP}F^A?Gan#gB#lwMG% zV-x~eJvtIlbgW8@c`d-Vxs{T@VAQV&WZ?h`H9JE*tDzxy0t*Xh3CPOJhqmOB61BAC zCP(nPMzHXCj8rTf8xC)te`3&&{gzK++uxofhRdVWxdpP#ng|s<-S*yI310Qk4_%;- zo<5DqeZ2DLCYx(=iQF-dklG&tU$$t#WY%CNBT z)$w?FpGe5UHfkEZU$9yuPdqehG5&C9yJkI~c-51y`sW~3n<4X3>$ahl=T~Q^+nFoP ze?@ItJNwq*DQO2SSc1a@GljPgB~*nGCXBWE;${}d3y?AAkJF6KLP3A8=e#xI>8tu4 zVF6YD9|}5-QbmVWcelN7pBQ~eYk9x5gP?sm`n&QG@!#Io@Wq_UDR}v286D(-`Qf$D zf~7*fB1cuB^F)=p_WIGPtTy;%XjYPLadEM`47@#}WcXau3<9n|6U!$vw?7D;@wKne z+jl|#R6=YF?hgExr7#PER6Tcu{;o|r`zj3TrE9TDAf?rYf52$(#RHH6Tg~Xq1Fws>wox|}yp5R>_ zEgw}qy^YB&e`x9X#AHoWQc^5hJvyUU>2mG-biOr!%URZwpHWGt^B2#BPf|;(*q0BP z`^+8R;~?Vj4i6Q3n2sxg>loqRv-VAlZ{$|ibFuNmPf8@C#)gcMaXe4Ecy-_Oj)1H4 z-2j_PvvnD8tpga%t8pgiQU;7D4Xd&j)6*76 z7J%38>_XnFq99`<4;kVsHCS&Tn60#EoH&OI3=c9mjb2Fdn!^QUZ`8oTQ|g~0itT?- zO8{E1!r^@JtHVo125*MC1rUK~0Cl;;*bz^o|GN@C>v`42#gPMb)<?d>_zV@AP-#<2*oqgFwPc7JlyKt0q+0UQ&g}?TEz`$GA zrK6$IJ5FCZm~9DL?+K4giIK9l4(CyKfIzUGuh-reJ*~Q@yWP=ArZXbCxFDb2evbSV zIZzM&%Pah$YS9pmWbHwjg^4=*J6%QbE>bR&|KtY~Rn7nMasR$gPt$9gV&j-?C(>Ww z8SbGQT~$Sv(F&MvGP*6rVsLw1sO<4mKu4-L6ArWfwM=n%;2+m${|LQ@jky=)GffAk zwoH`hbsQWVygf%}d@BYb2$4CPOHgt3`PJ3w_Ug)W*u-wWKVbr2c#X9tdR@~pmPm$b*hctV9Le5WkZI2AP3Ladx(f6{Z&4|vY2W}bJ@ zJ>j?;N#yvXbZm`F70QKvp6<@Jw$J!`=}$OpG>wHqR+BSR<$DXIH}?)Qx|YP^Q^SWT zecWloU!L#2Z!l0w4*(gMva`Yw*Y!Be(fvY=%k!S8mFR?+p@+ixXYSp%4OtnDm2{xx z*P?OD2QH2TIwnSy`miD6+4`Q17?)ir*D)k^pj0(5Ag@NEG>KuId=&s>y>0cX)j`2n z2#Qoj?73E#yp6gsgYGOvDz2&N{3^xe`w_m|twNavnv}Stwv~)~;sE3$Jz)0VlGv-2 z^dyS~Mob7=2jGvJ=Jr&v5Li5JmQzwWAqZ&+S+i9vcjKyW|2G8CT44`;1Qaw-9}9=9 zB?8~+E>E@*y)OAB!LV})IOO8;(r=)#cFm$ad3jp^X383U}gBmVs9C+2k>2+9@& zj|b@2Nv;2=w&?1DlMAT8qDB|nmlm=^L#o?b$dx_0e8l^cCElkBN80mhFs?x4Dy! z#`Z^C?5VwSyxo}9EOJJV3t=ex$_cr`B~afueM;Cko%n{&SG?rRxj#^)_CAT#LN6~o zC*B{Jwj*$Aq?envZm~-*S$HLmIy5xL7XU7Ad&y01QdpCLaQW6|fzv|Hu6vXT9)U86sq>#0XE*;5u3W0R^w*->7a z3{IopTQZATb|9y>G&ME?{90RbP-hlKM@FX(?KHW$4n_;i1@k3bL=D!==w!Eq%Wuj%F?1}TajWSuv+ zEZ$yIGc$l&r~lL-fP%_Va%_6SQH9UNMCYO6R5bnh{FuaPVAK8q+DA5DQMFjPUp(Zn zeX?i}A^mZ}Ci2UMrqku+p@`Hj!s%Pzlhez*rXtdcxpb`sRY#$L?YrGj=71->1V${+ zFo##cOu-@VZhCYw^v_53aj)_z=gNYC!TS=@dgaMm#`}(56Lm);R;GqxPTkCDRkxWilM@xLe1@*k%;(rrvvJbpZjzKeXD4& zio0P@pZ2gJXBqp6OqA*MXlQ{EXT-fDX!Rijq)aZfW^$oJ=51fScKzR?I;Q?;{YQCJ zMi(FW$Dya}`NG6jbpsOrwB9%`B_#Rq&w+aB*j-M5c7MiWQ#XSi!kV7muodC&H5sry zk+Cggb9UhCK%W}p()6YNs9eVO(hMIyFXR5I%B{LHpcitJE4H*Is)J*9wDMmpfd2N? z5a18@@e!&&Q<;g1Of)>s6N0}!8JfwEfWd(iLInOze=TS&Z%K}G_E;-l#+DQTe~$L*in0X&Ws%J9v08nslIPWDA;2Mwgv(1nO(0TV{pj( z*%}BjJn}(iMMYD`M1Ji5?@?TshdBsCg8W zayl1+iRtUbDQ)^&7u)yK|7(@9XPz9D65ygvcd}@$UAQ`43hFZzKAfiZ=j98FlO!`3 zyb*g?Y?~BQE{uzKy0?KB2-T!Du^qQvLxWr2Civc^|KefD!wI6^G=TXa1YDG}2$hw# z0S&5}5|*9YV=f!^s@-jZ-fT)H;1eR}(#-#v*61}wvH7ny%MK}0 zp)BQpTl1d3cL-S190O5f7>VS$QBWMQSf-{tZdR^cPi;o@7-}Do!1990)golkVZ|5J zZ^jwx`bTf!uf*_W z!YZQWy{>!m-XOgDxWDw8>#f`?O;*AmpwDhuJC~e%W4AzAL(pq{_0x4rT3XjtkltLS zCxIKDC?S=idtw63H}f{r(?AQ>y!f0M-RDQZka_ttUBUpD(*eKE2|C;S>mS6R>$%n* zU-t7ZnQGeW8mk&^cj3w!+l97uPs9#S3usS6P&c;c4iA~r2%LM;l}l0Rl<=-K*|5@j z{*Jh$XCz3S&7$w^?*rh5P-*FEcq74D{K9cu>b=s8rp(r^qqF7XS9=drO($WX5TyZVYt1*CZL94@Vr^$sG}e ztuN1VB&&gEq}gv6L_x+!7chZkMuKP&K3K8MEf*S5$_JbjCv`9wux?EtFFTjX0D~08 ze@5%@kEqFT0rlMR!#)P@{f$--z3~9u{;l=qbKPaQJE;>p&X>5tFKjE$Y%YtBAH;L| zwXa{EHN)$fo~uS|o8RK1tNg#+_Y0coLmJY;x^R9Q6+w@wP`nMP@3j^Q&&w<kL^GjY=EH8%c3^P$)}eQ6Uw&20RqPUh_XP;QE!-z3rKe}(h&Lu3KH&~sRc#*6 z=M30G%0WwDy5AqxGv~yd0B@bxo4r9%b@b@1rKjp4n{rRbAtz~X&zQn$_4*f)30-E# z$BPmnAN;JEhpNZtzki2=GC`c(&WT(W{=7pCWWVXRA+8R7ZAPZH$1YUnlcPd1M}gUxbB4xKgh>S|QQuzCVyx60W9Nb)Mnb79F`tN@zk5hP%xV>co(IKAGYd zavebeJ>6?0e(DeJ6dI8JZ|iqQ1D9QCXpFkq^B!4Z?d{3c@tO0uLw_Ibp9&jyQ^io6 zkAzikeQ4XvD=Um9M6^8wr~`yS9QJanx5!()9N=Hl9lZzyn|h>&A={MgyT zW7Hq3ebJ3l{ttAecw(toG+2w;Ev-F&jLh%_ew8=|Kn4C$(%GWV4w+(PT;y^qNfi2F zZqe&J^=56o+Ky%0L4l!UM2zbC7U9P7QdY&UKpX8AG6z}^8^7n17%b8i8s+neSb4_; z(APsB&c~@=J?u5)Ahr8chKl3MXtwKy1fSJ^bw;l=d8|9)iFCg%&zxKy8h(aXawhc_$`>}~faap$FB5LFnbGMV# zgo55)AJ#gM^NyDeJ%V_!1qcJTJCOM{Ci4|0GqIytqbvrWvNu zqufuvh|93FwjCTE4)I(sP7G+LiPF)z2Jd_Xu>$Dr>O6lAevgL1GGZhhriIzrOUWJ!4wz~PcH z5r+*<>|$zpD=JzR-aB%ZB2CFfCamj9U~@JN8KB+;QfyIcO^qx~VJ2ba;aZwk`#*bL z2^7wB)!Xa}INTLhq4kL2vtt7_EMx%>^x+ZJ-*LDITpLl=2A!B#wv1{-k z@F~D=;2lt+<<&qmg$pSf(c^Uw zpDWdR5bfbl`~j-zu~Q1#`YEFBbPnH!iI*_SB*Qxj{#avpH+0Ly;Vv0F-R;apSomv9 zB>SHpPt*&k?uft*Uz;m^9y9nQY(3$QM)oEa$%38U5yhs~GoyuGQhI3WyZaiEV#AGJvZv!Qza+qPR0b@s6nZW! zb@&3Z&=8#XMIYCCX(>pbd~%~v8}F}WJ=-vyC)oxF*CM_OV06%^0K zvz8wXnF(Y11h!r?>sb^T_s{bGKc>C{D$1zqdJsgAZloJTI;25Lx>Hg>k?!v9?ruR^ zq`N^{y1To({>%G)@3;Q7m|?AfnKd)_x#ygF_C9-WNr$v<9I1g`#K-498HvwNKhA6_ zDepIIxVRZDo0{BC&aU!vn!?h|dX4Z1yGIyTa_(wthF2ym__n>9Sv9);q;Eg`!o!hN zyS8<_@)y({2Sk;x#=VIM05g=RtE-!_<%I@QvjOX3C=&hQM64~qK4;kIu(-E#v2xKM zJ)U`LdiJ@zl$G-a@!vO7S32&o|5@CB?0>a2mVZ>}++5H99F!~O`2C}I34#Af&hwGH z#e-jaN8$K%Nt0Odi-PfTM&noH^YWDO)pb!_WGw~<3%EP%-pZe?gs@^Y?wN(>^1AXo z1-2h3=HV5doQ&BM7c9*Lr(-h{K`W%0yke+zjh4vc;8f>KoCFn78T-iutzb;{Y;J&Y zY-R?oEm7C4Cnhz4*`moQS^VGNO!lgS0%BX?fntJgqEBn&8)CQ0L}BCCY#%kCW;~bz zQCenuAEl_)Hg`W}9fdMTD1=G=T-z=_ygFK@XE0cIO``~81s&Zsg3h2ikn@XbGw znV6H9jD%_;qFoS#U#cXT3^2uIzcf(@NUOFQ<;&HO)oFGD1PQf8Y2jZ$3bOlbJEQq!4YeSw?!_yr*Va@ze`sQ6H3I z#Id>4aYifPVO|GDG0_Bfv3f3-KKM-QI%iM2U7jPfsg&loe~XzxIJ1F^3^KW_Tg&l5 zuuxi#*vZPy&KAD3vwu0+!N72RW;(r?U@?)FEI7*c@e$(Is>$u5M(miL&iwNSz0v&A zQP+TNN~%9xDtV#MrCK9hX;sq01KIl2Tr90`#8EmNlQ8w`^YREI1VxVi4$oLQD<+1F zx4J=fpPqKma{9Q1SM`;5mZ_CvY;8mN6b+0yPDgul;O$j0F~iNxGXJd+j>~xCivs?` zLV~OBucW`S@WdkjxAMEU_A!T7BFxi+L@t7dn2A#4V*ao$!8?RLp@2qlcGbE}vYj^Z z2g+OUVe6Dyo<=!{hWS-{TRunGaUijKnv8(u*W(QBPquTrp3SGUg&MiY9benJ)V;-*d=Ccgmg=vLb{C z`Q*mTJ)Z;)%jV|hcRw69%uoxm;WgwF zIoCxl^&|US{<`nD>Ii7{q)h8Rri%O`O&q8^-A@?%5jt(-e^k}Mzba6hR z{ybyZ0enOk**v1gl`B99F|4eg{P(oE9mJ}U+jv*sct^%dHrKvIjN8RS?6J6iE?B6{ zY%=H+h$*>E7Tbr*nkWHs8izP?Ij|Rsrq`GCy|9nAyUn5PmJ~f|!@eYgJ;~W6)7T|qZA3sJ~-Tb4! zGGgBM(CQo}oKO1r_($hT_8-p4lnKRr{3QLgM*DxcEy2)*LyS#d%w?J`yJdwQst0k2 zLl=JTkE>t7CYFGr1V|jc$hn~K-*^E>qv(tbSq~5Xo;}_(lr052HzbcyjFY#7-i>k; zw2s7aCiJx7*Ir4GN3_a5ui3nU?3%Q@JzkTL2&IgQ@XrSE&0)Zf2PnlzXY!{53uVt;>UyrB&qW-qftH4n`tv$%u=!9CmUKEZzMNd?`1#D) zIrkgV@czm8nH!N{dNw+r34=h&8uL^RCex!=1@3XN?kVHDV-@zFb&3Czz!}4&iI!GJ zKE+GU4lP|+is-(DaSy#{;-;%fcoPq`ROaOBFoNITjism%Ry!pl0)wr^M%?m@%)Z_9 z6~HM2gagNi7`CR*ON-5iLapB~lC0OR3$lbSrmFex&u+u;_!1TyYoLcl^`B0!x05)H zX+uc;CX3Z#Q&XiZEEtfG?Bnvxvnb4=X&nXZNQF;N!Ugf! z>b?-HANh_=V)z%YzXY=1DKbeiE_mUSN&Cfx^dosS4{VdSfy{ddhnpbJl9G~w+K$Ef z>>D<{M%T$Ip=aG_>cy4M58b-=I4{gT+msUQly3|(DbittM*~Rb0gh5UZ~b3|{-i7w z6c&aqE7Qi;uWTraIT#F+oh(!=hDSygrHakw;LL|rqy-9&hHqR2Js27t%^PVv8+~ro zbOr)4J)(jj$ixf1+r+KC9i|p-)6*zF`>}kp1C*#E&yPHH_N^8@JfM)*VTU>byQLB& zM4;K(C!3x#rwPZdIR7Uu2o;opqN(bz^W9n6OR6E3u zoBefk59P0KFD@&%aehoE0Alh5*3;EoCE?Q&;57l`*E^0J#@9YA-F;fV-+0~^9ZpE# z2#Z#;$;8&mk}nZpYGK;j+q*qKO8zIbL^K|Wg6U$|X8u->^Bwo*IS^gUR^-5wANMMv) zt&XgfSDoYyd@F_2^tfq};cCQyXTLnyHTKSrW{cnzG_>=@sMwbpvv;ObC3=T*)oHxW zF`yO<2@N$a`A|UTj`4jr^%GTZCnK!(UwO7AG^3^t`J!r?$qbrFjSX5yt&I>50YMk& z$_iL11H!EUjlmu~=>T+-0aoU?G$CCZ^wjQej2~kA;1Cfhn3$qwX4GGlLUTkz!2<_s z?#oID8KpIh9wz_+63hgaWh9k?T0tpd7Aby;qkN-iZtm{y-y2JmD(R>S8L5jT)>ODo ze*_v;Je!`h*xo2{$UyaaywaojHWS1&PErLb})`U52`Z>Wof$h zc0C#u07*-70;*P~=b29L-a)>{(Qr%MW7!)nhYc?gtMgOOXJI3CnB3mHtjS&A>jU1& z*)fN1hdy&`MuMb^1}(&}*#BoO!*PP?2L?UVmX@cu>X-%-t$u%h*Gyh}s*2O#7&v;+ zoowa1hXDe^VefdLs#Ea+XA^X;&W1J1tsZtrB?#L|^?2{*3kdd}CaXElCVvpe#3x(S z#$)1~E{p?2%fPcsfCMhQCp{&Fw&vkahGolBNvFs4Cb%MhDpCR#o_E#=3+MZa0sc2g zF3{Bh8eu)KkftVkqXqW528W~UA8Hc@)f%JIxW5Xg3@T^;87-Wgo$ggJre}Y+N6*S{ z2nab#5bq(%I0C%21-?1iJ{=`(-@~*W+#@2qI7!M&`_KK70~NDozb0vYgnbLyC-f`S z55H?qmetjBea0&*E=_b>rj3^@@W2hHlJ2q1to9z3+OE>F{~qriHj<LUx0 z`=&CSsim>8x$kL8R~O42^=jB!X==agVmC%?u-Ixn0ZePK;D%|wvF)WUa;0~ zfYxdVxDOS2_-guR_BR{u@7WS{{C%cW#2Gpy^`Xxu19D2bO5*O{iK;i>spI7d1OOoI z>FMd__7)8dt-UK40{{hj9e(h?lpiZCT}|36+5cyr^N#5wLPiTS!NkRf+NCvry0FM&J-n*r*)q`6!s#s(mE4>me#>cO>p}B zN3K#vMvi?Sw^sQ$Nvvtc=5Vzqpf*0K663Dxeo6{%t3ZqQ=H^BLj3#B@{TNK?eRJGG z3S9RLPrBAoSWG6=tGF4j4j20hV|xL?(#iE+QAK6cF#RRn&*HEeY7g%)zdx9(=(b?R zHF3I3Gr3lI_EG%2? zs$i2PkR#`yjyxON8ae4Ag@*}*VWxTSebc2Lcj%{iT;xLA|ADLSn8}!WjLV%CqjFYS zUYx`?fC3D7q3W;af{fpQT0AK!t4j3x)*lp5V8B!Zo3N9-6Am7p>?3JFyD&z2hzz7f zvjWezW%G8r!?ZlBVsvnrzHz4Y8WlL`=z0=k>oj`(8M7H1*AN*M4nWqwD|wG>Z!!1V z|DZ(c-oZ$n2?2-Ril)}}UMGT>Pj49+@oakz-{br8M?9G{*^!N#XpA&znaar1FIC)f z0pSFaYb#DbmU=_^*I4p7kHAkA&kTH@VZBQBXayQ~!#mveDiixqpGXoAoxgSZZ^k%#eK#jiJMV zW6>irMS0ylnmC&hq#;I6P}-KlvNsrBFJ zU!L@;tcMqiK_siG->S)dV_=ChA!NbfdK=HfQjhLmbjTrghw)L0T(uId_$O5APbiR- zWIiGoD$#=nFIBkIhp58X{U=nm{;BJV3Y#Yj^RXl&>gwvcxw)NOUsJQN#B6MQ`y5HM zSnkh+?qc+^-Kbv1r|%eSlEc5O8zgZSxe}}U`T1GhSV_S|`uJ#ljv$&hKh%c93+H)h z(jPzFtKdn~TUM&7Ch!E&g5VhJ8)&n)Vcm!S$Jn@VF$S-Q9$VX!mFr6Z5W*QLETOZk zPMeeI^b1ykM?_u?m0JQO^f|WHP^3UfUR|BMKI7kkY!b%a7W%}2cU&$6(FzqM4|}m6 z_Ya0Wj>=lVp5Z;&A^ufVL~+=~+_(sc9OEg+8hi{)OiA-cE>Q}7i>btJ0G%qx!TnDO z4XbU{T)D+Sa=2mL^1S7V+>zMdf2MlR$x9Y;icw&*F5_6Gajl}pXt*v{%;oeIrROf; zH8cQA0cOGJW|g^!jfT}(!iC`UeCS!TZwrcPFTmpNa}W`kehc#&q?y{jp}y^2m3^mc zU1CKo^@FOxyu$Z@v&+(xPqAKT|CE+fyw}GW--ohXvROL4)UJMvYi=>sl)T`4T$(iG z&ghdkYP9yRrPJ+dHSyt(9>SeT^SF(7yZ3_ga_L|iYx>TNxCE_`muKr0!)-nN=<5zL zq1oS8KU(hZ-bnCaeaGtR>OJX4D4#dSD9Gmw(g*Vi<o4ZV;<>8z#(T_D z$20OU)p4%2T+^jm8`FR-MZMLKoVfLxtI@G4om+n=h?Mst^&YT_dPLKg1(u!rS{5_6 z1G3JQCsW>+83l{vDgF&YIpkLeYmvpf{3}%qm0VIg&HDN=t|tK2W42CKKb6N)Ff(1w za@o!HSyyS-@bkkaj` zJ3HfaxuAK2Ot1p9!!WV26%`Z&!47(nhgDV8H!sO8BMWVK+spBNv8ls4`oqadXt!wL z=UfCqkfi2VSHd`ZN}aR5{eWTp0V}gQcLr$}E!;iDlrc02e|$EKma?r=4V@K_t-ckW zGGsPj$7fDOWSdABlh^gHZwa|e5i&C*w~w!9o7LzjaAo~37ohcqmygfd(Xn@600HbU zpnQV+(G0gU0Erx&ZIhCc_+8tzY51xE%mWV5PyV5yVQBDB3!dwK7M35FnWL*sr{`)T z2^L1M)O6+#4;>OVula>^EI!^lSQh*y88J?7Yy0{+GQBPRns*Q*QlPDGBKOLDHu+s% zI`8laTCQvVcaYFf9`E267TCY4mH#WYB9<6vGr7YAucw4kSL)@^aOc}?lK^LdAq)n3e#I#nzl$+Aw?Uv8WF%v0 z5Iy*!@@2@onSK`wBz85rriGSf+kK0Sr^j>UIEmcOou(>)1QZo(9IZzX%5E0+W`4I) zBtsir#c}iav3m%*>ds?lh%tvJ5RL^c*OQ^EC7nLZ3)4S;WMiYP`&$kRCt38yCir>E z0|Em=?1P5?iS;V{djnDzI!>ZEFk|SA8yB`-8;wZZRLj@b{d?&}aXwZ4{ds$+7n_YJC47$Z&yYFHpbIBh zm*t&~jt-ztR%y^59UTG4C2P_I$oi4e(S>z&i3Fe!^OJ}&ZI8u*0~RS6U@X59T>d6$ z!*;#Q1Qp(JXmzgL4q}Bf@O3+!pRav#Q$SPckxP>lb)LV5CL|@b4*I55wXrGQg;!?6K5jVt z=y`R-!(YU*4}D|F()^tznSyoKUs-5}k|YQFs=nL12+SoI8l5o z(+!VVlah{s&t&}cn-&Io{LT83s1zy@T5!W0USyrGPux(?{^9xpMz8*YpF|LGRM@lo z_3H>iz98^-^-?uY6}tF-P!mLFFk@C)K58cxN3cyh`lyf+4Ny`Q=$}m_TX7PUTp4pL z9aNZ^JwPJOdwNie*dy>QQ+x&A30HhScR5&Y#F%T)z(wQ+CN@^}T7SQJ!zsd&>wQ88 zPWJp16jZhQ&VgbgYmDVB{)}t3Q_(kK9Jvu3gTbCiLT`EB+qc%;1y1R)(2NbI6c`g@#`8T~Y>8*uFvu z+$hXQpNG)D1AH&P()qMX_YNvxyqXr=BK>f)<-PJIL}=m#!N>VkTG)AOi<9IxsXJ}q zBTvz`{CxQ~?@vOpsO7CaJ|_Wk2b-Qe&Bnjoi{JAHe^Wl9p%=n1TaVKGwOlBl)bD=c zd&7LbReTK8Zjb#dllR`cIud@R>^@kwjZ*QZR3`LcUdJmIoilT2dM=Mthi6t8MH82l z5!q|&89^6A$!t6Ar2bmV;n7n_SKh^F>d~Dm$2+sfY<_sFy}I8b=%S;8=DL$Nf$JQ3 zl*teoQwD|;v}H`Yf=1AZE4;IXcdPKb6d`# zruEbNPW`*lZa4a~-tEX?Fjq$*-N^8+uY&ZSUw=Ci+)1kI&26Fv@l<+@ev?S4s&J{Q zL4VwPY0dB7DJ3N(qf%2tfz6|#M)9Oj!Fcy3-Tq*)qQCj=Natm-3zkd{UgcA!82?`1V01x7IzCFBhQD}h6 zTx2VeTK>4dyo4AjN*29#n^SO^Sym;dc?Rcr7{b%xH1qt>71 zbJc+xr#q;E7}%b;>6w_|c6|fMC@8{am+RnT!S$T?aUHhFGtG5R-A_zJf0kI+OQ&3P zxDex4VWIw(sA#WXHk^s0qPXVVyyJ}<6#v6P>*3tiknK?$xb0Zcfu>)bsoYdhJ+!s1{XFSzWN>dby5^>Z4)_jE5F`kvvm#T+RTu@>5Wv(Y^A#hlep zrae=~%|}9&E7cYm(4bi&h`5*PWEI}4y4}%dc$`WYiW69x_v%-yRidc%>Hgb2iSp%Td4_GE9s zXyiNO1FkN*T8l~8!8AU?amy5+sV=InmFw#vF(F0Xv*C(LjwE0dCwnqkjv5a zEMAZN7?yE1<~nNKN83o_9WYz}*FtVi)m?S@@Q`g8mC?KX`m0gStIw4fhN%e9>nk(TU+*c>n2Q@RUlI{J^p8bz^xd?#SR-B(qQkN4Z! zlIV)4HR!!TER(w%O8`ZnFvZ2<<6%TrUXq0!rGjBs5E{|BjjgR-?R<24I#OV#_rijf zQME>#*3*d{r7nbqFOqfMXR=r1M$peb};Sd?>n8hUQ~2e_#+4S46Q zS1Cc_;uMM^yRqEfPm?>;@d5p1IT*5)qcmZeXgb)rz%5#l#GDd7I(#Wc~0|^CoGJ3OtJlh29;~PWw}>R!LcX5U=441Y5v?_`@y~ z#3J31)#i`w>1pGE2!SpwJ#FU}lI9ol+}`jmfh8Az3EJrXyd++8GX1q2>uYnAtdhLb z0Kb9Vj^1PUB@;!&#DQ*T6vnO&QG~Wtt0?wI*r|v29I`Ke9VVF9*1T>rtQ4lf1i57G zuXpZ{85U>NGYuW~hc11z1BW*b=8K&v0_IzjNieVY6Q0j0G1C}7IU7>~9rU9*R|eDD ztgn;-i1>q&A;ucc`IRH(9M?!=&ItLR4Gi;PyHyO8CuW&`1;*vmNx8 zW>3i-E?sI&=jops8QHAxr^JMW8&R#U<*LQ^hBDHf4dw-Uwsq=Tt=He2)0UxjP758Ui8IopM;EgQ<8ww$%^6j_SP25<|H8QC2u6=2eYch z7;7l$>W)xMR0Z^|S366Sk&|Zwu?C8yU%zNTlsIwX&CAzmj*d=CTQH5$0aR7ecu99W zQ@N!RGx%m=bRjq>ug2pReEg4QU-@~=mj9pu9#QwrKJ`84pQQoAO8vzYV&1s|=~j48 z=Sy?HfWqVv(n*zgP8TNuWa4kn`f9ZCq?D8Q!Ek)x5wA}jan45cHaVX4^0^3*kHG8d zoG%8Tj(K)bcGcWAVCEs788uq9c(D^=5ke)72X`Rgd^wC(SVax-leY0yuA8^0cA$VgHT?6!HS|D+6UwJ zv{dMnqCX*C4Jq6knFC@y{{%t(|Bb!?PVwu(O|dX67(%6qdz<&OfXV!`FB;ZnJkt)+ zzkNiS_q5%!_l2=qj&X@39K|9PDR=HH@vy&eK}bA2iKBAJKi@^L1~A!boVt z*W1@QW6gl?{;mDdeQZ{fg4gLD@K6Zr`~%4XrvWC=|YnsPfJ;u6}e%Kh#$cjzv3+&k+Q{z`yksM2mrX$@$z8 zP#U_ty5jhsxw3ikkOsY^sl?oyqbFP32R>6!{nXz%Q5dx5vp!&&D!qjQZOv-4sj4sk zL`1Ic*5!JAZYuYRB;78SQkiheJRBvZrMm#X?x6D*9BH1j9Difp&~?W~)wjqR(^yqI zZoVat!)Ax(a#b~*(ws@{d3fc&$*ZcQOtIz4rYr(b6Z^{`zd@+U@5y3CFQkMd=YN_ITK?8!LK^2 z7D)A^Jw5;S)c+=urS*d4nMumyOx8dCl$v6l1F>bletlH~L&zP4a+job3=*!l!nz9n zem=eH?YnlbAV9tEk&IzYcW$1%3?F+$GGz7q6)Fu@w(7Fe(3DZldV2YFR?b||d_HoA zmr?w(PVHf$1oJ=wy{`zFAh6Hc;(elA>--s{B85t`Daf#T`#nbb2Z*lZ+}v~1dN+gd z6u7yw@VM`L$AO*4n?L3xG zNS-bpTsa17cU{}L8JL9lk@!EB1K0%~aU2@cjUDULZgw6y=CuUaq{GD$o(g${518%f zf?CH+Oe@Y(M^2?;B|n4L1t^2RMrr;upHR?pz5UXGZ1YDIRprWpf#Tm+1xSZlwPXA9 z^&hi^$l|LSEX0#S3Z2&I)A}7hHcV)pdZ_`H z89hPG=wLA$9!RX~2knZ?Jn&1%m)Y^D)aiN%MM3)uG=%f_HY$;pjevuN9(DI%lXF8a zze%xag~uV)LxTfr1R;NWQAFqVIch$#|KgFC?0iM`{Je|D(?1Szz=W!G{W6{|6Ow)J zpZ7shYBpYa7VO4lk~l1hT5h-S4RL?U;7@%b`qkEPPb{dfNDIt? z-KqAx3Nk$4VbhVR?s9Vi`%BL`X#aZ3~d>o{Ngxb#&^+x|RSutL9gmrHJlh+7`vV-d;YCC~`*Uw^kkomkZq zCrt8*6_aD0w2v^W^Z(;BTw)0L9<|w<27@c=$H9oKRfDEp24W zgk`LL*`^8POls&aBRjOw1IxPtY;u0BkUA^ooKA|UP-j$x`lz5fxVRG%bQ{u@*Efq2 zhbUbqVNCC|GOdQ;)UWe1DgjrsbACp%qu7z_e+%* z+p$Dl4?Pd(yY>EZ`7a6q{?`INaT9{_rX9Pi@;rq?9Vdyct^W1`&t8P{AG32xFfD2k zxJ#!DzGRC7;&en@mED5Ny>=3(vqmQO@XOx(w{K7LS0IqRxTW{GMH32~(+2Um?P!+V z&SgNyWzW_xil3633jNj@Cuuh3$UxURcx{mk3cy zHr(ve^M|ID4|^v}Q+C?n*zue3K|vu#4!7e4!@pmWc#I-OBc`tiZF?QO!SAi!O9-U6 zJEUCTIYQ+-rR{?er0qsxJ*g|c0gt}r>48UeGI4PKGbu%w_MY2vhOpCiILeA0+f%Ck;%)xQUH2MudBZW3TbmPfPWzL<6sjg#axl6wGG} zl0{$jtxJN$35KbKwawXq%MfUo@|QfFYHn=)x!2Lqz)N7%jR17W|Ewc5>3bs39@WpU zw%6#Q6cMH~)Ge9Vzxc}+`zBi)u3if^Sqs*m<=_7NyQs9bkdaM0J@B0;@v{z)UlD3L zvi7}uBBAGd4Fv@y{fY}xa%;>-^rdFT;7jUIM0o2%kBL%ITu^wZ#cA`_oFp54vh%qe z)q7Zos>dVwxg|ql=qTu9v}y@B^E&Yoo!7VQ+CZ$<4~&WCmrl+$@~ z7aR&UDZkd+cp)#icsNqQS1^)JE7s5?Xx8mWE1ziBd`1wm{F1R}4j5(#EY!^yIJJ<% zpB)<%EUmMLzlu4hV_{W)#8gXF&@mNm_HQ|G!DuE0)o;BjIBYF>KD+Z?FWAo1nB&tW z^ytQz?3?$kn(5-&2qP3uAtb#krn~4=X}$w1R}M z+oCqNsRV{=milEyH@;z_fks_RHvQ8V3t=e&tjo@Xh?N0O<-`~GuNdcOAgOYo?HnEuIc z!Ig7-#-}}dmxD!Th$hG3*MxN|&ZH@68!;tG75TMU>w*_If>=Rl|y{;PkkE)1pmm`B+TEh=l3~GK8Z|;PYa3UJ}C}F1#|;IAbzd z`T+4Z(K<<(Y!b*SE$N0nzmN}1cptM51nyP~?llzZ89uSQGbdH!I8yP@>&8kbRab+K z(C(=uI0M_dY*y~9(%Rh5Kg625ft(l8r6F}lF&!HW2;8V^$vF1d#e&Ah|Rn$8UZg8b*MJZ{HcsJq4E6UqO4| zLgO>sZe>{}FHxVd1gHC-3dsa;RNePns6)B#aai-T@BUejwhVMS@hw|udlqhOvk;Me+P`+~9Z#>^M91q~4UU!A6-}Q>2mb?vETy48uaC5sj`cWcD75pCF>7wtA z<{TS@DOlJX9$ty`yg^~6Nw2uKsbXEMvZw*fq+&07C~Q0HffD1!aa`UHhDjPoafHCfucXL0I$f5_bz#LIgl87kF3KeZ@cWl9Oq zQZHH#WLG+^l8q? zsZS-jSynfmcrG7&wyS$pczTfi!`(kdzo9RlB6(rWCDK_D4JZ38l+T76&G%O@eK&A1 z=cwouep-Xjft^s11K#TYl1MsNA%6xAAtX4uk6%f!VZC|}XGQR88@*KuyN#?_(wEKb z+nsN5NY&7F%IK7GE8C46vQ;euN7p`u4lX)Yn3DX zF9y<4v9Z4Wk`BRkxe6%jT+NYW;Al4-J+O((X+;8NN&-Yfu}QfbHudPh8HjNO;ihgs zgXg4uo;bIvj#=S1$un7o`xzzJxNm?{`YAc}7kGjcD|R9eH?$A+9h&n{Uazm0gF);j z=h!9~zuKQ0y0Jer%*&$$W9y=vgtC93H|1eo=j8pW(u`CPqw~1XNgFaQiLs?*-ddP- zqjO$CfkRg4$l`E8+|PwqTL;&Ynf*>)L<+yDWTgaiGFan$YPm+JWslS5UYjALbQs9A z3_+-U@kgeSp-sEhS!!M25>MW~Y6S#@;U`q51?kW_^;_-?+Kc+}X3QM&P2_)EZhO48b#SICK>$;9P~r0TT(l2pRKqyu(VzP8?aeBQ47 zv4I)aE%UZcL8u8wz0yw0E zihR?m42ctX1zNh4#9+skIsd(Z^MRtUn+?x5r?tHW!emEtj?k7_dAP((U$mLN(6_Nq zeotwL;p|+sYTJA@nvI@c*<~U!*vc+RDpHErH^JtePmZ{ifT5CB28*etO&_kT^}RiQ zgkiHN9R96+LyEBH+wwVD3{^f}NWpDK3?zv-DxaM3G~XeEj#P z5Q5>JoOg{8*lTTtWYR>jJN~~K17h^IOed@U%LRDAjODcb;!#*1|5FpY0NZg7T3AnX z`%27(S~3_UgfSve12Q(9ydrWvU_MxGC4PfK)CHi_RV&V~OimuV6n?0lq}ZY0Cps$1 zYj99nI*G}fwi8vz#ee3;2$;}Kn9i?*IPhasJ1983D@3l*M)pl*A0jBkKKT>8 z$_AQLqe-Cr8f-L`tt^j!0k;Ml>|r~|*`1zsLFmXsyzFsNr&k5dC;(!Cvj8uVP7Pdf zi*6@3_9|KmGM}R*u~Zhb^?K%Ua|rR%J*&t3Z>)GM6{gfdCcHgTba>Ke$t<|HBH!#_ zUP28^Kt6{n!PpxVk)*plD^Wsci`8g6=}h+5iEqo1!zobWT$OV{a?m@g3jRgYs&UCo z#elaOonmMZBTjj9e)i*Jbv~2i{u^=$_J<2@=x;XfzuCO&n8>a>zqV!GpLz$HWHcY% z|CnlyQfre8**!SlFKiKXE2!)Df&Q_FS`ht-YKv5v)QekPBy$vQmt4}G`{DR6np=e< zP;^CV2&66Q~x3@E~nUT*#{9&#=5#4+Sy=3VD2S+$>rA(vTy%*&I3c73Rbz}wK zy<9XkME#dZiMWIz^VBGvK~?JcC^Cess7k$v-{@<%Mfj=c?x?~3SYInG@CY2;wVpT@ zU!L^F?`(oF)Da-3CC2KTIjDvD8(O5Mcni;pa;7M~f>_n#pLFk$J$beG$EIC zXUD|=0NQSIi!3>f(7ZA9XpJtJ7C= z1J=T?p8{U~$*ls0eX?3yR!XS9?Hg6SL4SBGv)u-&A)$)6RbYm#BcW8VvX3kFqCe>5 zb+@|*Dk!K1=SWe?`@;xhl=XORz;tzeu67~FaNm8;nW8MTyJPEmwJGqayfr0{0X;ND z`>4M4DVTji;cHgYo?NzksCv=l%ej60y_5RD6?9LZSQ`InWp9`HIf; zdD^1(!$>(b=zFGXQ=6U+S$0Fb{-UC7g`xBgt#`VkBWM#-E`jQgnRM&9#;l!ZzNR8T z!lZof&ZX&g-jY*I!F#iI!KYn8f&ZRgY?tIJ*$JV+iLpj8N3VJ&LmDv!{JurM7~NI&xjJB z9d;qiOBAW%Fr`=P&3IxSKt$?ygTRpZCNVVNc^?kokzrwBH8^17f;I~wI#HpZ)3{0Ee}g(|Micq88wBn|0zZ<)KKJ>Za9}p0&EUr5$&W51>~4pW>zOI% zX)SJaE4kN3Z4s}Z{jsj3>6ISA6{A0h_5*$C3}uFFUMLR2Di z5cUq?O;Bq(JzAc32maAWm;2ARLmU4#K3;8Lb8oK*ttj|RPXyGx0#0uHv6#YrKL2YZ zBouVbrERg1I8`|plat3E5@3OYe!O@5xEq)&b~=?nPjtB81wjlC>FC<{_D$q784C>@ zOE#*1b@kuklCCG8R|GUPUhO8|OKW!r-!-)uV=UFLBM03)5Vh)T%e@#zh8l<=vy8{) zFU>HP>n5n~p7bQ9{Q*q|o)eBVnEnxldL&-3 z*s?^?m}&N8+mSe4ugjS8x-BKx1;-{w1x6iocFJvYe^(mdiZBerRZZe;~UL{dM< z?=SSfzmz9nBo1gYQp^62SLVwuE}ojrE_P%Z*VlvSPoOWq7I8!j=D1vcQZAcbua-&W z4Ump`3zL+V60&VL_{mV{)&A$587OE7gi?cEXTA=tIFeW_S!YD!In@3BztF2f8OboZafVJw;<^wj>sSN1E~WRdJdgBJ+#dnwX5M%x6zI`cVFVAM!%&2jjah;}QyrC-qB=KbLio zF0#aMh^Ei%c@Kjt8r@t^NZy*70E{Q^=W1-@@s)UxF|A}_m*)A_YIHCLn$-}CY%Tut z-62Qaf(0Af#RluyW4$dWffWZ^7L=DFR)5z|`hjE6c%hDf|IUnGe z*Peos28?S+7gSIaS zcS;yI9z1e&aB7r@;O}I3XZH&ldR|%;^~A}^Y>a}!-`{yqGc!G0F@4zd^a>VmT+C*h zh+g9icUshv(})LqdG%;Ewzr21`-A3hT%1;icXOk>n&$YrgfL&XQO(-CE{gu`_Wr8X zpATq-zMK4VL8N)Q#$r^mFF+2BN@!}Ga#^RYz?_e+Lz<|HxqEG^!{~_w2u9PYA@z2v zVUeJ&M18h7+$U8D`M*!m#8^Jll_DFwr=>V}sKnZYCVMWBOO;o7XYARatQKe+A5V11 zIySCZifT*$Q^bcdmP&88Kfc7FU_N|#IISIez1Nj;$>DtUcA?q!!_z|nWfB6M$0SlxB>JQELs zhmTnsb>_Gc6AEj6I=na4>iU7#F!O${@yfn)-MS_#Bzen*D=OIk-?SzaM8g-$vTVlx z43FG!nF%$Rxya(4CqEBY=q?+WYFFluWN^c!PQJ<(Ke$Ih0s%%??5aY_G6I*m;{}BO z-yP_V5%}SghcO>3VH*^zh$K&SX)lh}c6?HUi)~O;{++4koa?Gk# zYR?-eSsWfH{bPRwz6{Luf%Dt_1{I)2s@{4fX13Tw^kv-8d%(P@T2ouan?uJPO$_m%WNW_rt^VK6e z!MLA^1mlWtPn;Cp0d@n; zdmaLAG4q=Tl|Q@SjQhZVM7E+f{TCG-Me#{}IMT-q1>L}=H1a_*japI`7vCdVQ^o++RH7=|SiGgtw zc19iKXsD=Om!_V6?f*FafMtQ$Z&$H(ln0?swxDogFPGSg>Y+<+JYzE!qy@T5S}lOtE89Kf6ynp9S>!c&99lmdP0u{e%8}GURLQ^w%>+tJ_Y97LPy@ z{S@0euPyfW)Km9ZP~vBcrVYp4_n%2^ZJ%%vVIf|nEqMB(b&=#`e0_&aDH4Da>W&+H z3>wkW$tHBVT8n=?bl9ZllG7X?ez7@V37%SI)nZ%61Pw@r9Enc z5j0yB{ia|K4ymTX)~f=R^x<5YwoNjv?460LHJ}Q-e_2wa5nJg0voVr!WP1Q`(9#ap zX=pejZGXraJf>s<@$RJC{;yd1!%5*Ybuho!(ZnTWj+Gu6TkG(oo^RbN;h7=wrKP!uo?gTX#=h2R4OHs`D~ptY&-PoNagh<<~_{ZLXl5 zX~9T*DGSvbz7qIsED8ggjV>iJ(KTh#!<`46`@yTAJJ3j^?nfUXXX6;fxk=oh6 zBi-!M(wu$?zbKDBGnTK@Tbb(SwTlk;V2E*~Rrt@IiDg>H%BgCsyqTvJ?t5i^P>i(q0G+ zT2?00B-ZL$^l{Rz@p%3%6W($Pn=v{Y9uljzwt`Q3s)yJ7VNUBCA@Nq*wH4$v&MMzz z>|hb1KHvXFaJb!uPcnF>-0VHJL2(&Vqk1qqf|2==rnlS~S6wrNX%@9&_>5WSwWN)I z$~bQC762M?u-J_B?6k=>F*)@KEw4+ab`TmEQ75M<-E1%G3W0Vz$VxZ7Q%6UxHo>U+ zq?wcX<+W?wp5>z9WlP)FHE!-Dn%rA05rIT4o?6A(zR&jlLJWp7)4OF<@&SRc`hD8# z%yjfI#-%SD0~I1I*<(WjfIzJ{ zwn$E07+-H!@s0vdCJ}QEJlb}R0NK+MepOglL3^>ia9E| zj4)E+fEyaJ|3%wj8B%}-1oz%Av7Fc{P*XtTB5e0nA4!-jBKPC%I za?y|rDwVF6Qt%@r2DdpXzj2(O*7G>8!9Cq|5X&pN!2_7D(jp^NfcG8;kzm5<@N8%G z(P{ruO(d#MF60vG_aX}X?lx@ zi9th(&T7^khEe2|e&c*pqNnV+U`8&6vQI=N_Z;c{#asIt0t_`OzV)Gp;WFpQ#mDUb z3M6uYtEi|Lw6hn5_t3t4ZKjIwNC;S4uWRT1J6%7nKFk_Or)n|uA}}_65~lvY?W2Q@ zo8SXs$h>VKd`A|b)p31$eH`(mpYoLZoboh{f2Sk|7w@d<&cZ|RtE~KZ;)-Ev%B6~( zBTv!s{IZ@0@T3kLcpxMmpIBZ7-5CNZFfc;NiSjhBIAvuJG{98%d`7yY?ja$FGBUnP9@1R4G*N13q~ibM>MOvi+M;d`ppw$v-Hn8#(k0!Xba!`2 zH;70Hh;)}occ~y9(%pIJ<}L31z3+d|j}MhNXYaMwnla{>V;Vx|Z(bnR%#nUgstvxuR#AyXWRW58#W%En648_Xt8rRAt!usy}Y!#BYHTF@B_O7 z|Bz)#n2hcdTPPwn*#pe?Yb(erB_;HYp{%$(x#Vj;(M36F>Go>V{-ZvTdyIqryyq7- z+A*gTsrX!uw6L)Cr@XHaw#SZ#GTV#o7mRCvX9^Lerly`=OZ~OZ9t8T-VMXN#2^?@r z_Kp-ZGZ&95-%KTuV+lkHUAZaWzfa51G-W4OW4)+HEvVB{DxdOZCd*cG5gLAH*3p92 zx$b7XulUf@2~R4aCQl3kELz2kh$1etoW^2U=R>{lKmxIwwX=bIL=Mgf^i%@Gdi!&} z=KFQp`t&(^wvtKXD|4cwD>>xs_y_?P=4Z6x2K%~ku2Pr5r!pim?uq@uOAdVUMsh9F zlY6-3M5JM(j3mN$%jCogco2h&5mDk_ti5McSTl2qehKE3rmA;5pwRV+MfVv*tIFu9 zLYDCJg85*%u(sC|S0o5z9#ros!(I^=1}fnqDZF}><-@fdReCm2Nl@~IZRmAR0}K1d zEEovjRskIg1EAvS0Z2MPKW6JQY&}q`sWR$8`poZ&1To+tfc~cQ591UM8jn^Mj*UeZ zZB+D>p=iC@QvZm9$8M{vtn9IoYVLy%Py+xpAND-AxDxn2CNUumh_R5yQC0ds4`hNq zo164yRg_#Un~|{e7`P~4V2Dwflwlx`sGF$DhrVO4sHbEHa}fiV9^FN1 z(g=t!S$zN#@8}&XSaxU-oFtgeJ@!?Eo?Wd$pVU8e^d)@!9Llj;Zr*dUwK^2gxB0p( z;z>Kyvvh$L2N6&_H4nCh_z$0z&iD~;vZ_~q(yzVaGkf!+y;D1N>3XTPyp7b~KPKwb zh-6FkFOVYe_4l$>mEvIPhd{A{NJr`de8?kjVvG#U&_jpXM8z=qKL5s51!Xt|pUYyH z+~=qRp3n1`n)O{XLR9&ar#HeOeDp}g^&AMXq%e+3)Z)kNN5LPZm*YOWaoL=4R}wHO zdvBxfM8tQXs( zct=tNH(F?fLXkUE#M~5|)#?RrUW3MA>(oH3D11fD$;r9J9rqZK=3<$wd}8BDEzRWR z20Q;$1aLOhJ$0)byij~EXmjIa#w^f_)V|i2$4=b$wEEUtpIV?GJU6|Yw-@v!thhZ! z#-_wD%PlZo2*<$BNb(x^1kokO2`J4&N^c~tGw^WH!Txt$#a+b;8Vi4Z$9p9?F{zkBz+437)UF? zK;&Q301U)%^$`O(ghr(Z3+DxSx0ubo)oF_R@#|OT(Q+4bOi{#eqF9~J_xc5Bm^U0r z`m!dDC|l$I+F=0UNndn;JPul*+S67om_RKV921`(b|YPelbvS8Aw>t6E_nrCSoo2e zB>I_iG)fXae0UE$ydm&q;gOMFPbQ+lim!BrAbZ@MO=VB;kha~IW%lbNTmFbDOksDkJCNk9L=U$&X6;%8R`(_4J; zI>3_0#|{%Pms*DCjTc#`oKkrK+@w|n(L->6j2p?`W~SS!O-nbb4q!@)_ANL_j;obC zAi4#c9uYFETXuQBrED|sv!l9{*#Z{Mv9fa5_$J55IAO9A{mpz)Tc)CaJZ1q@I=o?J zVS4qbjYX>JOo_GR&d8JHoo*EdnNSeFH_WSI+_>GWNS zdXJ7Tj9wl8G8|k#0%x>i;>n(O3PR-9BgX7=zo7FDersinX98*0;UY452-kKBoOn-`#dLBG%Ew{aqnDzSjOCiD0-|En!U<%InXvPt*HDEb=h7 zF))5q6uA}53#HS)b^BC3o7 ziU|ecQWVY-^7`Xv#9V}>k>9n077k6zl?2O`Tg%_TXF`KX+^$@f_f?E&y}txs)K`2G zUv+9gKt>Ld%y|v6lYE7YNbpoagTxrro-XiJfaW{Tr=V*}tI3T8aA;v5>og&km%q&& zPBPFae1B+(_Z7UN#~gE{0S8v00M4}M=?@WaV(a@GieHh)DV}<)cvElPN#1$yb9)Vu z{|$h>QZL$O`_c|Q53g$%n_oXW@NUkRZ6uyrPg|SjS)Xm5Y#)}BeG2wem0U`kXwu$S zNG9^XG9l?Tqb6q+oiLvAx%;Q~{)R-vX?Tj_R7XrI`oM$i!ZF#x`oa=!JcXSTrtN^g z|C_B)d|bmAXZ!vdy)Yozz~-q$fKzXDFxT*7aIiO1$lC#^H?3`M=6wAM%gxQrj*n8g zC2KH}#J($|290OTp+F{pI2!Oh88vWtig_e~bQG-O0P6vs$%{P|ED!=dx5FdWp!$67 zRc}MfXG5D(D^Xa%5TLF5MD;DkoWeOgMS^s2WhHxXNQhy30L&wgq8Ft9puTdQ=TFCw zB-?y8sT(g%tyN?8ytssj=?MR<_VRqSjf%q+zuIg*BKH(SDXdS)35BA&;$;S^n&!tP zqkDqAnOmw@vKds(M7C9xqK`%Bi3tg>E6o2s4{#)0MzB=#mwx2Q{qZ?x{>+LucHq(k zg_gh7azCcV6ct4$7}rV_R${hu^@e4|Q#3KX%9llfdJoMBkffuoEva~tl-&6!<1E~I zaV==M2~blunr|K6AK!B7hYefbHCy_JO>H~nr5v#0z%99Rg&NHU3jW!PIi#BQTrV6+ z`=aqvpjHZy%)_FiQ9v+sa*=<4?wm=;UW8>xnhMQ>fhPH=IcBvK#TTks?QbRip-bV4fHn8cKr* z61Wu(n?LL(W@hI_#v5|~Lyr3T^=l=FdGwk+5>k`1yos+G`Z#>{u%n52pYDWfJqfcw zC;l3!MVaIL3IX~OAVMwQpSg156qYl0M2HDEI7~hJQ@Y2|J7L9bHk28&-k+=*g8yGa zl(l>Pn?$r6;Lb7(2}`xJc5oUMz2|d!TEwW6x124cre3~Hb#xmiRr_-<5w3htP|&2p zOU(}@PA|YYz@!v|cHc4!-Yi)CAy$}dR@6A`9p|vDUk}X|!i;J=$MKITDY|X0v1Joa zn;;sj2y^Qu&OsFQ$wg`iQ3pJ?`4HbeHp9V>uQO(7XnI_Rlb#SjhOKJ(-1hLDoSXpr zHU`We0Bs-R7nI!$>y^sL`EoKt#>5wlWvj4T~@qce4OVEv@{5GqQK2B%LC zr$`MSHm3E4Hh@hMl8lBL28XJNz^eb}GIVJ9J=^IU%J*Y-p|hs&5ZdXd5JJK^2c4J! zC)9Kdy8@DpMoK_9IGI3n-?$O@0n`t;NVg-n*E@3Ie zjTkcUM5W_urkN{sS%!D5l;Yh98>Yj6A0IS+2@GK%9K6v&v!@nNA2AWSrAhniNr3lm zWu@Z8Je+rgzi;#tLdC{j5`FW$#7bUjt4!mu1fW485*w15nv$6rn^0Bd@+OY`puv*Z zZ^n(-TVbtcCWDpt-PIl*id@X=Xxfx(c{UCU55|lV9uu;CBTQvHEXziIYEAE{L1Mx_ z>K;h@#@!|ZLoXh<>+0%iFueTf7Y>8zS9`|#jjlWV+F_=F)!j6br1EH-A67Td_v zu&y(CZDn?!WP%5gUr%NlaP6^h5J;cz#R2cJbaDlXfbl;~z=sk&Ha?J~17{)r^XKS~ zAF*ZMLj$EqJ)eN4@~&S=OjXuXtl<218a3$HzSh-^xSO3ad^mT7KqAy)mxdkq6@%kR z3#KMJzm!-y3McnVsHk8{M&k#1AGY9WYipnCNc`)rL81U@In|u(wpaGI`iM>#d9gXv z*O*9GwbPA=t)ZDSY4U!=DrC|owCQIcCe$N7N_?0e8zHgZ(4F70xgP(Fhp1-Ys+h64 z-i<}pg+DqvX1{9lH6Uj^`6aHzkXy==s`aPbH7OADcKc#XNlOQ=B;##rVZCUSy}wX+ z!C@+@-K$r1@37AQDb3ZcZMTU?P94l1-E7OH_`7f1x^Wlf^{=wkjsdh7dNxDl&@cxH zST&c+=GOXxg6&=(r=${%2W&SmAe3BOiIydRO<`zA0V=1C&=mv&v~3cET9;^xt4|8E`Ktwkb+~iaef-qSL14=Md^Cq}29g%pBGNegihrQ*la+ z#8XOaB+$InzIg)90c??4B#_K_Y(3=U#6(0yJbk}OSAM!(rdziHT2s0bsHBv1baG&Q ztB_u@RKJSVLEY$PBFZRz>0YdlJX@rY> zKnzI{@p@r~M(}=BLW1wDMkr<(u4htGC2tWi7Goj>BRzsKCMG*GKOsob?Cs|xZ5tZ+ z^j&LZ13<)d8VKhLRg>mzy1J&oe?k6Xf`|EKd? zJS`Aj04<%_xw%i&)ztx{VD!NR(!TEoj27pvWvxy2FJ+%|+Z%%rp_Dprxh(x$cdfi4`_dvv(hfmggnA z@N5nIQ*Lg0AaTXWipmA=YPS_V`1NF(i?rUa?*gt9H4!`nnTZ8( zjaOEy4#pX5_?@4{DSSrgSSK^Pz~|4(ZTXjX*)8DX;MbIsChQ;$ThjdRJ>E(@Uo8;6j zx}_~3g9EFEx&)>!xuS25wr!)Xx@S{6G=vY#I{bw*3OX($@D9W%8%S{)n|QF29VKAxo7>J z()9c<|0+zw!}E#T_h8TSpR%Z}fbTJiH9sXKsHnNby>dmep3zzl>#7)gBpi%qUE}`m zyYO1R+L!*}l!^|Z;pfR%meI7jHT^Wb!QUD)gp;sUwY4LF3W`Dn87Ag?U^4-@HAA*P zw0lGK*UU)|;d7axSbJTZw}5W~*LNzEiN50g-G1R`8Yz!WN*pCrxRnoqvLP+i?az*3 zam!j)c-qv2zC6|__E|w|$RM31oBuu&s0Bk~2R|>eYIF#!H5W%u2yPGt!p;@Zt2=_T8=X@F|vn!1B_0nbg1TmA|A!hMVLq7$4|v8+KHao067BxVE-tu-Y5*$OO*xyWU3ig#iuf090`) zxDYYw4o78Cyve!y4~6c2cuZLK{!~3?sAJzZ`t$+hDzg0864yNz%hCk!_da`WYl<`rUJqbJukLZ|3C8lKPR9??$kje8t?Lriaf{&0O}Z2 z(RNSh=@~;7ty!isQBb`CtmXgg73rb+{qM6{G8`ps`e6bGnNeGR=m|w5&{yzKyr_h4 z9G;f!f6}#k)C%XSPz_9bG5M`ku&-n`OQ7YD8vUPpIYl7b{B}vH*uN>m0bG||`4@0GR7d)t*q2LD~WQ$9sxn-qILHbJ7PE>y!xqME~zTZ&k8q@7O*i?p4l4**m%r z3mQbY;O@G9l(B%#6S{s|$bV3| zOCspI6+9bPeGHJDtB(5~%6oH*ri^c&uePr{ZF|3@=r(t99$XHp6E>^8J8*C7O5rfR z93`nCa4 z0bZbkmVt$IwOZ1fM#Fz{U6$j{_A>X;+5Du-G6|J~g;Z%p8+L^ng56SoGAMw7Gjadn zI~cMmn^)b`nRhpG&);Li^9Wpd0I3xaAs>Z_+`?c+JgJ*=LVg?Y-_dUzxxG4pg4cXh zaDqT`vPu2DmtC8$Iz-q_JVN7gsDe*5*G+LejIUI_uQK4i7rpjzx$JwWcC$Fqy#>YkHE zBC+a)d#mpj)=V5^&s*sVES%TYp4U$3%(lLr)X`ilt}UP8XZkuG7#X=2v-gJl6@JGe z*=@apOaQuQr-$(UDwy5ioGHNh!}s7NH#$O(5N&>Id4b3)vdqu&Q=)XIrzbLAv6)_F zr{ndf6hc?Rez!htDh(ycSfXZyBG-DNE=aAj&ALTC`%)#1n3<9Wda zf)GrZf*j1wi`UsRkDO0y#xGPiam<)Y(+B#XpLjNC7t$wpPEWwm(&kqZEg@*S+vj;$ zSzEWSA777i7xD_-nyv2W`(>ZZ5eVJ-d?3v&c*i8f%_@|_XHD$p?~A~FOsL_xmG$7l z$gt6=zbtENwvmr7!d=+U;g%*mXrFAZKk7T|B@?Mkk9~Q2GK4|8;L~w*f>sHPp+L#y<^IW4`FXA6)g9jBY4J3wWBDd%_=lem@)L(Zq{+f+#+LMjnUBAyIW zgd``0f?F6E@)K1OR~=8TP4!TPVz!#jJV4T*eCN9MWIy;Vk7a?DkiBj!i9{q|g@&yk)2WmXL5LtL{#?YXk5giH$B0Uo_P>Yrq7?;ML51DGVzm*N(%et>EHyAN_!Jbf=lM)Hy9O zQM z4%szKNU1VV37e%8FCgb)(KT(l9wr*HcNg~&i1k%~_1V{6EIa#veKMh`pIurSt$lue z-n;QT{bml&UsT8Is;Z@f{KYeCZQZl5jCDf)6^Zi6L9{%rdMbJs7f)bB1cNvw z;;;UGB?cxbz!I*x*AVAxoj%97zsq{)vA1dlyH5Q%U;-X&L#k}Tjs@IaEk9XJRHEQ<7PT*$Zsglr{&UTUG_Rp>OW%Td? zWs0P#Uu?HHkVNRurY>1WD1z{4OcV-!?rf`sVoK7vQvj3WUMdaJJWD zCG%f%wmnNsLIORT(qG-LTkK8cGEZsyUBg)eg?guRP+H)BD))F&PRd$YRU4XAi!<=_ z6oN;Q>uj~gP0z?I>GuvsC2{m<6FPQzGa#WsLK+vgv}Di>{1iwgchV2Jh{@RwQ0jf; z9Nq*M{)pQ3AQDo!SQtEGGL%K+Xbpm05^zAE#+`IRWq4a6x(Z&HZjfTIJ1)o zUX7z_TbWK?7&Th^HL8lK)gMUJw-T}WF6`AGKAPZ~C^}L|Jq{G@{I)(ry$*h1btlPd z#qsoru<#Jwt2Wa^L1t)7wF1kwFDW@O;xeTP0!iqGh3V=$Ek5J~$Cuq_Pf1Vk46WpL z@N5gUK*`E_Cl{(3M2?-hyUu6f;&dO~$kR3iNP|Py>b$_{v1}Lk4!#9`q-@l*h``>Z%*vQ2P4Lb6j7P=ahcD(=U$2B8@Z?BPb$y1z{<+r;!TWYqybOoezgCNltPyo{g<- zQyyD`UMvx>UFEMv=f&~7e&b<+M!t6^n?vR_J)ebr2_LSf+P;kfZKVI%sWaxr#z8E) z-`l6B3HoA5#N_2sWaZKePNgFiU#s{a`Q5A|K-zzIJ(bj>YI!hwjj(;Ck~o(1!5|H! z07gsgfsaMF$uiw3dr1ZVFNLp7m8)C3wo=mE-H)BCwfYa<`61x*JR^3{vUP~5_wZOY zt|#^)bf>D|TsNhWC@lT>njF1$TFNvJWjfWeu=qoEVRjNGHk~I?>nH{Nde? z-!n9{d|r-G_j^iIEC}}M>gA6iTfqbMBu+4)H^81X0HzOuDQErX&&&3dzRc^&{O`{i zvI!OSYFV2-h{9D)|Vt2CH;YP1sa{| z%JUu0>%gzhcH&D=xJ!fKq9^{|SWFGM`LA%=l>ua?RGbFkwX%-=qzDs-OS}20ZK&VP;SG3*?uz;;DQOI6Ee_j>M@PrTNfQ&3#d{Us^Pg3XBuGcbNnZAF z(f=5du#};Qej{&aY>h@V3xm&Z^Fs2;(=PB_xn~B-!X1J$g#veW81vi|A3X6fG}#`p zC5LYOdaui+t&aI0KN~C5F8b_+O=srnUFlT)3=S{onQSvZ8SFQuE9+AAi5QwY-fZCH zQulz?A#}UU)}y1Np0#Z>V=$NioMCYD*6v)TUV6t@>4C)~J3Smc|J-cLdT0j7Xv4Q!bAf<9l zGocjf{%c1H0qADJx+0aqrIyC@I&y)-)rzIYbiCnf2cPk`J=!XYY|SF_2qW(^uV)Ue z^kfh@;y--?n;FaPT%od>puH3XSx`tob0bp2^hH8ea!^7Joy%;v#SA5Ss`2f(^5yE1 zwua~01U)tmc9&T|?I_Q&)ywiQ2E~jQp64D84YqV1ZoGGE-7aMz2PwiuRQ!sOsUQLb zFnUMy04E@vlzk@y2$c>ghmm;L?8l@e23t+_yxVnUU7#wgp)o1>yS${NWNf>&NG`eW z3zv&y^W5AV$k~)Nr}zX-9UX6+KmV8K=Xzh>+^hnMMGq)gIRXdT-Q7(tB0|>C&_GX5 zKkV+23y<{@CFBL2tVr9|2U10P?9Pr37!a&D0MS_xp0FGDq8xcNllle~@?P)DV_RP} zNX*}`Z^gGO*W-)`B6*ofGJf~JW*bOrdZNI3P+3_W7!tzWjr$4kobZMGkR;;{FFTeZ zkr+C~h71k|*%H!-3%&`n(P2Rx?oT;_<$V!ONVOvjsron~_=DxZEt!LWJ%oX4!}zwF09=XjB=icldm&2PXiiA4$qB~Y z{%zO6qNt&@c|~9N1ed8DyTZL2DjH#0+tAbxYeyDlOfkfR>W;b9iSnXxtjDhw4rFkAtsIn5eYUnHaP&ff#iL??+p*+6=M>o ze-{=kg!5(li6@de;td67Iovv5Jng4XF}yQx-@fIro8x=(^l8V)NCKu|<47HRdG#mm zH<8M`ZMLVEKlvO@L?V$-QmYGRr!ZV^`1kfQmbe@ce0<=$#>~-~nQh6dzJ<<1q$brw z%eY_AI~-I{T^^5JP$buo4P!@A0|_t~#$V}VjL!ug=#0MF8O{r&b2!e-JuJfPADBzI zUfkA`DA!eVb&sR)xWy{b?L zL9~!1i_aI*S0924-LBkJvhL;giYo5PyMg=anm9V4XJP1E)^}gI-Ofqjb49HYrscC zpfW6_CHxuz4o)GfwL@&27g&x)-0S-6uHK~tQ$^!NMg8o?$h+xy5E?drmJiN&zzPiw zJ%SP;v9)#J3%PNAo)-kxwB-0&Iy$O1w&I~nHoU63DyZ(zz~crrP*gc=e9fbKp($qc zgDB*c@@rDJTX(MJyU_N9k*BP7?+{Xt(bp!_>-}gxPTa@0lZVs9AnFRkg|)i{P>JRX z1~<>iQ+HQO&7`t>e%G0D7~kKmta5&J)SY@nz=!SRiNl(C2bTZ@*ml72gR_t~Lrmo) z3JQ%5_}Yr<^2Y)p6y zUPPM$alp6I;38*+(-%w(z2hI_CMw$EqQ9A#n7yED-MibCLqSUm0HNIHyAyWnw%#`> zu~%}LTMiG16lvObS^8Vf)yWC!AG@Y|ur@YCfpTTGs7|DD+rHss7+5oi0V{e(v^}b` zGX9J(JOX2z0s0y8~Eb{h1yZ5>Kz{aU2OQxKvV<6?IhT zvBP6x#cf=u6|(q(M^@=pe{N27nhz^Y-be&}g%LTt{Ok%h63y0r+^64to2S@$`cNQM zTwdN;(bU%Q;N~Co>w%1dhJ}Xo#{ZtszP0VCsySQx_%w2Sx-S`W0erQQ=lz5`hs_$F zMjMr+Vmla!+0%E}GEm%fRnk)GWlMqwCnm=H77F`GNYx=tzugmLT9y$N%f_+@JsVC`ji|8q?}wT=-!98tonj*5+xTyh>7MMGn1rnz(yUc zPZ`HaSW|HItxS|r)RbUI~w%Z^o)#Pv^Zj9WF$E@5)g+40V*;`&dY9JmnzYN0)7aPo&{WmAL~w# z80WFH)YOj2NicQw%b2gani_i*?~50&fE)ew3keq&*QyqH?9hMdU%(=Fj*eo2k{e}$ zbdHD1gub>m!Q;Cm$&L&U0}K>}iHQl6Ez5dmNx{D|&i-#LUG&@PUJUG7@;C&-XpPNB zni-XhSKrkR`G_wjZ9f^|%>|${kGp+E2k0%?<;^L_+PcZtLi#N3JQX=G`3d3XMp5l! z^757DVpn{C^1zM6I|bVEFnxmwG(uj){wxaxo{pei;jDLOv??D~9F_+h^A94rya9OP z590pjs@CE=kKx|?BHjG=87-=-;fyRhH)te?##pN3KT5!{)rA*4AMckvLy3vj;#HHA zi%j7M*K_Hy%L@1fU%%xdfI$4{oCsFII3KCF*o2;mCA8tykH{iDov)ntmNjIr_gZxM zoGf?~+p*6tvP$_kU@hby3v@aQa3Y$+)E?z?ladc))W5vYGf zo7mYsjy=^W_PBn=##lc}N|v^{5KfW>5y4NKUo2;O3F;g{F9Mq4kXH_AYJNT3uX0-d zV}Y-pL*LhUqovTQlJ#jH%5Y}@c{-~Zz>BoLY7c}1lWD}XwD9fb8$*JFL346<`@{qe zkRN|6Edlk6XV%uctS$JMSXdY&Br(IoN{_ymjt)LAFAoCI)YR0{)um!*M>p<^?E#7l zKxKG*2P93;K@KemS`NUkDQjxN0?i~X*5+Ibo1NKvRY^uf@qr8L(j%0 z=4Xcs;86#bTYHVW>uawhD3N1>$87_5cw9?VN};ao?sJsq9L9r2@)@=9IOdwC?{C_J zw+7M=?I+w3_{UWBZ)U>fG$?wuvEZTmctjM*njI5e@OB5nz(&F14HAdFqVMD?Suhe_ z^hzvprlY6nnQI`8Y2JhVBQRV0(seXCB+&)Os0kqLZ^;<)FHCy?S0oJ(-@0`c0FwZf zOgQ>E5ziL@`7y*rM8H5El^Cq2%6ph9nqjN7N=JxZfyc^YHy2JN75k;QSk}^4Rlmvo zuopDpK__+Xt2UbLVM} zfWz7kj3g+e9h9Id!4rN05ASZ-O>BEsphWMmF+gB5--wf)z4uZ*{ro07jI`4@PAFgb zb4D$IYyZE^uujkM#^M`ji{!;p6%K`eYV4uJ4)#%e8g^LjrMGl=l&F;oGv;be>UJ!I zoI#k-KT9Z^n;O$1hcX|wF^@^3}gSB-F%AIqiSCV`GJEmy>(>po0X(*M;()x>8$&d; ztR|}O1APkU`35E?Pe8RL@4MYxec)!6Kk38G;sd+&B=h8V00ZmA9gygfHp;fP@Y$QemH7G#sAFH0QSk|xrMLkB_ zX1e(%5*XGv_=aYrF3G3HGo?}n-Rnm8D|C-x0z2mmQTg#V(V)$GaE{6bN4mqw~0F2vJ^1C7#T#Yr}dkZxYk=SXclJQ}n1Fd?BwF zfI$HAWefs>2!N%0$?n0M162%JpyUQlq7kT!{ZrroSR^_+db_-}%fZ}By(YJqA}k`J zDDR7d$FlkU_l$%D7aY@)w^tCj*gD<<52wi04kQH}x+l_x)*@41*|{;>;O%S23xVLk3WFZS74eO3Yrl^B&z z)v9|q%_m0v3x)Db56Asyx4s+nk;v(ZJCVmHDG%w;-$~z@*qB28h@MF^k5*&maS{o@ zzi}(*`=Blj9jnV)?o2h7Pi@Iz`utXCX=&{l9UfY}=QZW+iskM12l(2VQV^jA3N02B zr_!-r^PoOdV+}QbBkk=?i}O+hqI1*z_C8OL<#gxjaU%=#_0XtT@xa1Hk$J-;@OA)#FO|?$>+!e@vB9;^Z}{LXjMI#9(J{I+Qb|e4$DS$S z+aoam+5#%bBi{>TQl*x@z^y-R&|BDM2nN-E43IrXMj`=v{wr!s!^4G^%Bm{EnN)6T zTyP+@RLOy~t$PYK;0Yc9M#oC+)H`EL8$jed0;17Ii>OlfKgg3mOKE&-hzSgY0Zvz2h65?& z{r1q{g0^M4w>uTP-zamQ6GU1;jdXj?d`T%^Nc{%7^zcx`s98|TvNO4F)8bu6rPVhL za*oxZvW{Q|wAbV|tI0q_~c@JfH+S^C{=|mc8yJnS)M(u6y=z=I1H*JVgyz@LU=4+@2 z&_Fc9p>6LQQpCU?#5gJhs`*OvNByx>vZ{32vs#n}AKS{sY!ZcI-8H2mN2CUPSs6n6 z*Q-B>VdT9wK=}CiSD<}leb;B8GIe%#M$gI`8YH$^U5f{b_n<-C z#N3=pK!8X?L!&e}1u!eMw6z0=Hf!>2t*#!v1B9ds(7P-%5xV5yxPpOE0S zvi{IV5|L&+xG>bPl5}1a6cp`>yBVFAUk?{V&Ab>(NW7)+@@RPi^w&qPbs#7{2_ zO)>2rRE2U6i~F44972HG4HBY(AWR(JyaJk)z6z1ozELL|dpn4h+K61o3UA(U`(0X5 z=?OJ2ZLKYwT{v)GT#ZBF;_K1|BTiW?e?qTO16^vqVc&gTbr-%x^1Bb*QJ++~4@|(o z%js3nuo|0nubjLY<&H?gr|N@W>C8&jUf+z?7K?5p4kYCCnh_>O#+jnB1^|O;e2`6i9rTQ0!ZtO2guu?u&cWFk z4)XEiM{>Z_qM@My9OxhY{bJ(cPXLiXdsaCh;!!5xG4ae2TfGVF^xE1i0f-oZC25!+Rm8vZ@9?&Kw0$ zn6xEc9u&|m*Xg^xVzq~+3xx$aQgEf*gWog$QwXj1S!T=sRolPmxUpskM7u~~l~=_Y zMn{eG9yVdi-wF>|Sxy{Na@5ou@O_z~$Sf>7s+O-bMdAM9-HO+y`MmP+whB z(^81Hsx4huPl-Kr-G*@x+#qHWZPuC2jL#69* z@TeBGzQS2RpIjM8^1T5m(D&&!o}Qi_3Xn+wChudW1IXuGUeWn8M76y?e@4`P{xEuJ zT2)#qUo-?dazI}Sz3)q#j1*Nhwef9++;7wRR*V8zZ44vQNs~9g-TXyquGw7wds+-~ zy*dYPWH@$ouI31Bt}Ixr`E!Bk6jfVu^|*QdOn;cKMe*IaFTkv-BOQ!oYoX2 zHVZ3s7yyqL%NNaV=hYQy4`!%YUR#;IByyJ(WPR}cFp)Xbp6zkEt@&aBkBLYiuliyC zp6&KFjDm$5=FsPo2Ezaw}yfsWQ zS^YinF@(o;x4r?>s_X3LJ3&AjTVp;{{lOc^QW+Q{NUS5Ry0dj*!EQ5Z}lD>)QZ< zY;hu0*(hz;f+M%>gZdN|SDPmxekKNd_1BMX-?y~KeT_W#f(f+h_q2&$Rwe>l!NSxV zQ-U`;KiM-6uUO%S3@`%->eyysRU(J~&oMqv6S8CH8psQUP3MD(MfLB-1{Mft6|X(c z^W4clY1PcA)RLji(AT-UsHZh<@2or5dtDJjmVV+*c1*Oy5c#8x3z`v*6LIiA>GQiG z2)Sw)*bxI;9>8RQMGRS~JU>UKNv5^82c+2myh8t@Kd{VqHK+nw?Cb`0KJ~AY*a4z!k(!xJsi2F2+zcs3e(lzlMd{ln+=tr}G}Vpu z^``(<_%l1(H9JcLbeA9Jvw&71{s}kloXu~fu05Tdun-U;C+%EcUbX|5Scd1fYnjRa z_4j>gSy@8r^k?q!9UorhO|Sn>5eVP(&HtVwMh3aiYuvHtd^+i0Tl0D6_cR~Q2de4b zy$8XEonA|L^fz%0r)W%6c-&8q#E9Nb(;KdT>=r+y2lS7zLt_Xls#zv(^7Z;=%pkOiSz*ZLaW$C60lnSnqaP^i8$~QeB>QZw zaxxc}47EYf@z}h|d za1S5y^!M(-B`ioZt?`$Zx{2$mu=0&}N<;Y0XYKN{nm;q|-5WA3+%7qTNSUxTuEbsF zjlTs3@UPEj=vqR8Y6R*fg?69ukFesQk+po*7x1Ple3+Kd=GaN&5qU!AF90vmB5FyJ zY#ki0ZG48VF7<-1?RwB^q>E;H6HL2mX#tqhZ)S5dv#+2D0vFfTe5a?kmocf9wH6j3{5|@<5#PK}Qg~8po|62zLus{uP`1$1?iH(dKl&$Ogfs zKXz7!LIBi_(>^EPEh5A=E^>h&qk-4Bdwpf3K))xK-~_{K1K;RS;%lR9=*$e^55`|W zn$@6}7ar8cLy}mUec_Eqqp!eXqB!s|-f(hocXh5089BT{FMlT-mD0qk47h>nc_^Ww zlI(a0hE`^=6oIc(gdUVrkR=#rIe9oFj@H7oOdpfbn~Sw#UV~q}Qbu!c0owQYHmvBP z)Kx~dyjFYEfZWA3`?ATi$VOH73|Ht}kh#ojS3d2uHvP9L8?&WS(>iTI@x zu*FSZE8{b^?M+Q5Ru{zouVKDsdh_>C(^Dj7U~~OY|B~p3H-!H+BlJZ*FIW2lL7eaz zBjigZIXrMrPBn*J!@~%Z-{AlpxU_T7?}xVag$%gKqhpe2PzH`fa#BjkLI%(=ii1OF zZH#Z2Z3K;NwWNBovN;oD`)HB9A!epbmu{`VaM z0!NO!>>m7=ZkWGhk(9x!Rdpl9vL3K=+urX#KsP6gY3$5~CN z6U_(G2A@)&X6Et$$@rIY`4qQvu6eGio6mMBD7m**Z_hiei-%}>z*u4f!0Rl{C)4s3=I6`3 zTzoY6R)uRn%T%{~j;);*5+)*Vt?55q6J3f-w&}>??0DfHXLifIm10>l9bBN}GWr?7 zrM+gZ8l83={**~dMv)5!f#eRRHo5RiDiW8g*_j$=hgtCFD<7EQu|<}H(&ofH_Xx0T z`SPjn0hvs%(ItWbgzKGvDI6`6Nc)-^ljA2V5Yho`Iniu%u)ot3jO}8EHoFD~QD44% zDL;KM-?V&qi01C@{s@-v@Zf@sTWv;zHMwq<2dL=+vf_g0Cdp$G2S$?toaE8Px$XVw zC?>+j?oKn?ZrIH10qpYhN1+Et4g^xXUvvu}TZ%ZgJoBG=x?(8Qy|9AJx zDau;{keZvu!1l3juHZZZFmO-vxJ##^Q>$QzOXbi0l~W5h0}dTQyfO9Jhb@IHxyWUx zhX=6k%J1IA0%AV6QwRj~?e}oy&Zs42?+^*s!iq6&-V8AD&6*V03NcT z1>lBdK&0%bTl9+p+Y-{A#H8tPb8ZX1PC-W(#_a^g#dQQDVpZBqbH>C5e!pIYdT6!z z2?5`d;s!Ao$`txjV~$o*UQxkzu-Fy{YGN@)w0}ct1d0~Tgm2IMT^&EB(Bj$S8482E z_ByaW8jv}|;K=fOL%kv;#ZK{sMra!|5h#QZTjv>p~Mja zP!jA4^4t6S%{SD=f}Rwc=OR0rnyx_q4>h5=p<`>yk(ZI3eH)l>+koBrPHe*`Ofb6a z0Nj3*vI2@Q2n7}MpU+V*UtSN#qX-t9^1ZQHy-Q$2$@YKNo8pHahy{ zD+_Vd>s3lBDv!#$Q0v)F)zYA3?m!nIej|XDV4-fwFgC9jsA-(gser!z7Omvl2-EJQ%&}u0s(_hBGfEK(1 zL176h%9;83(3}kKYYEJ%DEnXdvdI=czjo>W=qezrMJ9_uuoy@6&UxaZIK|Fh&|@6& zrtZPE&zL1es3kpj@v9$yml&aE@}D65$n>o1!ODpucV$oX3TVnp&FzU!`5n?g>y8M( zRd20xq5!priBEZjHhy@+l6lJi^sddH$w>nT(@S(RIQd1)ikIcx# zq<^N3(`B)<0YVy}WZ^)2hk+pi(b?H~4?r8R;;a@tt@G*<*8v(x0Ph6*Lj=Ut+4=dC zRu>?3eVtobT^%*5`hUyo<6$bd(te1Z)ae6IFLfL`b^RN<98&!_=r#3$BDaKEjpIjh zKS^%Y6Ov~J>iGEAOwB*u>ll2)Gcd$1Nw0>zGC`d_!BF(~=;9mu9>s83@3Ech9f6o1 zVx2uf``#=454cqUFg>%pJd!N{pJMP!>(Z|1*F1YYsX0Y9VAz7$pKWnmS(!)GSlMu9 zYAO}nmw`A1y)lnPa?7l`L|AFT!NEi%Bp;pqd|DI!2Zw+QP-OB_#i*w4(tPqPUa10I zKAd{w$y<$A zCG^*iP6)DWyr;Wp`eIhLyer-A;!($;B}!ZnUtz>S#q-y{P?VzNeElNBexxsM-bLMF zD@T92<>L>(TVJccCiy>8Sm;B%@K>G^j8L5VkOvCn`2^e^Oom2Qu}^ksL#`(&N8JnE zb9!4{_uE2$>QnFW`p({in$5R;UOZ>%%$?B*Xv&HHkCt)PHQSDQ2L>oKxu?aV&y-)q$W+p_PjjNddiEItY zyxcO_^?Ne5?J<4GhR>x*z*hH3J2%fpkvTDGD1>%5C=sb zOlyK>vSg=c#IX<5HrNwPP8yxo>@uCo3MR7ZqC};OVU%_pzgJa*2{z9EyJElgTE9~i zw-8k~v7Ey}b@p4?qzvF%fOiu8;sw!<8z#U#FM{#L-^m)PQ~|r6a4G>n#Ik}E+_n2j z-eWYfeZ?!&-b!l7AOMy3(?0$1UDC^qp9k!`1|k$~bBBlJpIC9*(0$4K;yq~d=-(%1 z@cj8yUR;XE{0_T5j%e)Efq%&BCd=%7XvdUiCSE~A##TltFR2?29I+)!cu>g4rhgeX z2oSQbv3*`zdr5OHK2CuuHDrU5O=;RlF?p z-naIPkoq?m{hk7V1qCAj+UWcKehRlCKnS4vaX?PS^4Oewbcg$sn@lHA=!=XRF=0gE z&HfKvrsNL$&NY>;qb*vJcLxFl-5W1-M?RlF>z}ZB_i5(3_&ovcu;Ns~yw2Z+4ilJ( zj})QhCGc1VsbPwyL--u~KJmyOQR%0TgRfcP@btZUk(AyrP?eb&S|eIIJ)vG35hT4k zWqCeRzKYv@gRO9M(aC^d{`FGx1BJm?QAMMki|C<%|y!1+Kr4<#iVW%GW zb`BrYcjp%i;@x9ocKdCx6w*z=ynA#nT|y)X}kbyny zMJ>J97jk_jf=<;~`dOD5LpyXPS&S17ru$eMla=T&5f74PNFVL)^G4{8`|2VJXo?W$i!u>J3c^WX*Ttuk!c0-Hz$LNES3vWN4&<0eZ;(#}`1p*wrTw1K zw09_LGTfB|)ICJ>6~?G`mt6ZZ)z%W&;&@VC=XT7Hf1a>U0Bp%OC86Z9`6nZymET8a zaPKFJ2i%Uv-P!8s?s=luG*K0{oj_-upV#7)pra$rS@2L)?UP+Ck-UC>yWhYN|ASk(Ty6siP1kIghPvs$VX<|JFO3qKOKM zZpv&E*DXBw0Q77ZoWv%Z^i2F{e^PP_3roUcA_%LoFpU+b$;m05H1)J%M|=cdlKW6m zu;H+BwujVYQBi{hi>fX#8b?xU~JWv9r+iHxZXLJnLp{dil7^?TsAnj3#<^toM| zJb^w_c0BPEgt_NKeIny)!~UM;w)J$~_w%CxC^o8~;hK66VSX*j?6hBHaIhVw5zHSP zp3C~HG4Jg1FpxZ{heo-51_rn12>F}sGPkoIy#|^_oZXjRkw5$=`z#s+Zx*$qKp^{l zR_1?Ny02@|J&pblYs{^xf)9)Z zt|GN;#Wx$>19|gQ^o9*Bep^smee3AIx&PBf2^5ol2V%&DtcvG;vq8iw|C#*XD*Amf z_51!|T6#Kw{sN&<^66`BEiJf0*B2T!8d_Kkuh&_Xydf{P>SsO!!ryBmsI@*0cd+G$ zs~8X>$}^wGevf{-RbC^=5dLEF<9q3#Wl%T*nvqArMml53k36Fs$BlVu^As*3CN5Eo zhy%ZnrjaqF{cr2kMb=&NM@NK>u>sw4!X>AUcNy4}$VRXH&ww9ob ziF2mOp~`VCa~H5^`1ssbElkP60aq~zD025`^d2+F&HsoI^0#C$&a(gfw-M&)<8tZ@ zrYF8Yo5?-PFo3m|s>3-A@4&>u`{oDd+0O^b+gEi@n(nZ2cG`FZluQ@^1n%In{LLc) zvjgJnkIAo_$RF1<1er|pS_-Mrj720wc)YKzHORFSERfc%o|RKc79hmL{F`ee8l7oj z8_iFDBjI_a{yR3I#o2;RT`&cdtw+*9b^Ws%-fcZU z2uHzN-Is3I6jo85m&KWo{5whpAsn~rF6+AsBxSO{rdjm^wLvTchy6|mY~>1%%&rn_ z9A88Iz;@SV;i#qacBkgwiw()oR{ZI46;h#K*Yxh;Llee9lL zeFGntDqqylS0#nE`P0hQqPRh}1)Rp(?LD(mL3J!#>cy`R@Gp zWYGjPM4bH62VEHHr&YNa)n>k%dqQ9&<1bF||`o>neQVeQ_qLQGIpOlPIW>v#Q z-mR*|!>%3fC0_W}#8?b>_nUh|!UDqq|vBSbXAB83!&k!IWFF;x2B(1W`-xm^lmXZPOnMgO=4ge zLWtPgV{Sm!{18lSK2?1dZu}>qpvV}4u(20IvXEG+^D5&JJ_U{-p(HEGK49Nv^#|}t z7R}f;@8_9(9z4+QP8pQ8-bLL27qsQ}p!2N5$ri%O7M~0zar+L^-~#7am0=6|JqserDw|X(zpQ_0{YK zJ=+EWqJFd+jdt?FahLK+CS0M5V^By!RUfOMUCZy)@;@WO#*WkEZ@BrP*(%Hs{h-^L z@s+Ohty0rbSn;2)pCFl@4h?>MyHS2?%Fo}qY7Jcb-y|h9g5w?v02wMXFTlZZnOCiHc=@j$%o~#!X_o z)$TPmC|d!6e$R7cMD0-P;p_NUAAEnTw&&%&9@QDlJgi52_1~3rbUH+Xo-yo-lTZ0G zD~hI?`aSMF{&q^fF?j)WlD68+;Iikwp`_~0zSLvx$RE2IRd=# z`_*)2bS^`mSbVAaHH>yVH6f1-2X+HZ?z5Kb=1btR&5J@+`*u z#G+VgK~e(@j7LMUH9j;?D1HH2m$w$-LhD7`Z7+d{zz8ENkXA+Q&#Ifl_XV#^&zSz% z@Xr279z;>r)vmf5>fQ{R4prlr|2@lpaQNY77f;M&yX0Wgch0Q(HWa$c#xPfb!csyV zbzTDgYY_lz?c*7soenjA11Pm35VGNTD35s{MHHH=&fO?Pm1}}g-26WX9VP23=b{1N z=y!QrSuqu|MjNNCzog(a!XVC9T>j&2?>f=@C$H@*GpubE;Pi(^C8|(fejL~@R}Ip*D`P7|AkDoiQ*<*#;8>SI%QsMr~2_iU!H z2q?m?cIX(5DHQPR!`-`1M}uQSg$2V+rFJ z%Xq0m^s(f@hFI;&$pyyI9gn^eRqyPTmjc-y9h$6itmtz0g_{_nBMH)n(**77ehIh< zrE4t>;BUT<%iWc~8ulKWgs5GW(EB%Uwrc!GtNxD<`UM^Y1h{@Y7kJQ9!nSZe9@2W| zUzfSLbb8F3$=7;#?pMclm+!x^)YoX}{>+;kafIPp#ymGSTzA2bs^+V!#ac!32BV=f zeI1aoCfI+9 zY|5SJ6pl$7eSnb`f`=)(_^4y3($=N<&2V7rO(7mzgw#Zsk}HPg=WpSI?bR!id>q#X z-z=rm;+olhXQD?#wD;T;inAzoe=q&bxTHtFn%Gzpr{0*mDQCkw%A9w}i08FqEtvhwyv?3( zf0+g=Wuqe$o|;D8M+YSg80fVv$f~oM{YSsFcYGYL#vmS0ct^*_pf&h&YAQhY9F%95 z_q}yF$N(!X%bbAHAZ#|4&VJZnx*DsCgb}AM2WCvOjD-bDdwVZi{bv4E z`N0Dx(eB=~=SD{FJLX1g1yH}rRRsS2N7@l6SlD4drRj>hyVdvv1!ciw-jeU9agk7l zWcI_AooaDE`MfE0K~GfhY=Gbq zw{U)5U@}-)6zEoaa+7fx;2}uJ;S@3d>d`0jL^UOC&obACfpu-XG`*y!6{cQE*VoVKs6A+rz87LFfBF>X8bRaWoguV4 zL()0l6wID5uy!p`Vcf~Gp$}njg={32Z#!_aUtvzbB z`HqFlyTsANwQ-5T)K55FAuMFPN2?%aJD}B$>(a-@8s6%5Y5sZ8BW}eoJgd0)hL@KY zYK{tUYBYqLocKO^R#w)`+*}Bdr%XXZRb1S!J`gjtD;#8`{*ILqg0G*MnVAN-Kd7n6 z!;=7QTxbRd16#~d2xIsy)BsJBH9k-uM1o2L#16DonfUohLD8|Tt*yS)Zj4--IaSa> z-rAZyFheQ{rb%ymEvDA}0Q-RA$QXV-J#$%l>zg4|cVTh@%{tK4EpnKWfbk0^P_$6| zK7h)=n=W>z$ADZM8Ba>*`W&i$2Zbk?%)BcpA#rna16|j+B`#2sM2&6$q&fHK zJFid49xLCdOMpZ1)b(HG4%6A+spA&WF9{qQaVR8F+Ho*|4ubX+vgjh+V^Z4NyRtQ2 zP(unYra2g7PF#A#u>#RepgPij8=V)6G;>H&tMvM_*Fc5ekgbausG@JepLwmDHVn8( zB`GN(w2gxY@1`~GH{Zfr+clr^KRH~Un_JrvVzLt)*%qP}xFU1i+ZaFX@Bl*XN^?mm z-+QVF%dZ7a);=N@bun3@{Z>@et$k&D!gh!I3FUsAP3Js|t{8CoA?#kDy^7G~=+2gl z7^BSR%Skp>C&P~tJwkn$tn-7i-WQ{ z;b8KUO7h>9<)Xo7aZ+oUP40K99V)uI}-HtNC0}^YTCAPM^F&sCv7Jd)sZFe8Rc579n z+k;+z14`BS)8Ve&)omOKE^{p^r5NYyxhjFT=q+V@4fft#@hq7zv=yKd5#^Z1)qkE< zJeoYnc?(S%fe`2rjw;t6`T2IKapyw3EAC>2i zqq~?anzZHlkef?ubiLguzM;>)WpY!Z!Q**tt1caBLZs+M0J^3Y@w4tb>Rr+@%-0;S z29cp!8Y-_l{VE$ym^+dQ%s(qBD{mjo#fzeo0b^#~xgu*I?w2VXa`3?c>FwLMTeC4- z!97cJgaJn(TBR?5PluABH+s#nb9jiA*%L8gui)asi!cNk9acyvl9$IIgKs7r`yl(_ z3`(!w-k#H>M)4M`M|m5YJE%@MJmhiBw-#cat7j*tK;4Q1A)a@6dAJuBsI!5k)rz02 zjh$UHZ;x0AFg3^B$Lx@PAP1k}Ig10+jntwGztS+Oib}r!QJw7SbOIroGtacUe>s+p5Pnnxngn%+H_vD**~>J0slT zlteDQrufJxY_gddel6+_mS{c4YEM^5{~J6n=XJ<29qzZ?`XuNkJ;pNfvd4^pxzi$0 zoRcPLwwZ><3Ex73Uy%PDlmzc*G++E8wU@+roYoT|UC{WbW0)W}pp4W=o_F|ky<=`i z|4{I!`|^gM#Ld%z$4N}g{$Kh}^3`zPQVt^B7@V(GRs}^a>*gGIoUIZPMfqW!cXrJ< zQkz^$l!L10U7osQ^rzaEb(7K0`R)e7ZF7?27bm4|$3%w#DiOWiW^)qj!NCjDj^%~> zIPzbFGUGSahD6;=%EmOFX^KrBVf9bo`(A9`Ma~^7qrc?4i(y;3w&teKNx02sg?vYj zuoV0u949`|+GxK1^X2)}?A)P2_~58$`0qm2araG!mtuD@5Ky^zSrf#O)U>|5ke9qI zFUqDM9%$rpEgFZAtkTX`x}Tt`hRRl;`ed#Xh1ZeCj0eQa*QY<)HG}2z250BuC0ly4 z#M#=uKE4B+OL)~rB`!=-=M+X?sy;o4rzFJi3^vd- zF|WSsV%pE1#ln=44Ah_9Oue@UD!i=!Tjy{}T7NrzN8XG;g_Z}TL!;sRXD9`tmXDW! z;ix`87(-wZMpm>vGVGkXyzt<7R!QP}k^RJ9`PQ@)+h$G3WA;T8weJ=ic+94Z<%ikh z4OG{8qTURaG+2Xe_jL-!;LJ#m2bj*pvv#rjVDZ2%*YGDx$bZ?#l+z#x|L}a$?zEVN z01eT{Ll!qo#PTuoAOM72O>^iYU%6P2-*!gO>tDw}L?Yv`Vw&YWJT`ya$&!w5%3bMx zM4(1}Mc4Ky(vN{CnjRm|&34Y&3;ShQR(@%F(Z=4kEywd+Tx>ZBWUcEc=4-NaH_AGV zTj6zlZAIhu_9j>U;FU=_5M%ohktPIw*_pJl&57HPJ-^EyD#uDO$0hkZuv#nYl#`6| zlT^9!HEZo`5cK%v-$f{8|2*BS>mk>I)3Jfy{v%NIZ0#L}VBKoEq5dvEzdIy8 z+$TdsQU^j0S}=j2L5V`caggDH`9(((mx8o(P}amse~wX+E_IKpoLrdJ$~%6Wp=kie zp|~(morBEz#ZFS)G~MM<#GEcLWi;{zBV%Ltm;ZmEAWW{F(!%n!qB7mGJEcX49T5Sy(h*yfbF4JbJ=^OM! zghz8`E&HV>?S!1Vm{sBNYo8r@wS~Wp$3J;Np)jJND-aGkv1|5~RDDt@9X-KIP!Poz zNWRK3!?UZcw9M)kn3fqlHu4+7i-|;wSQ9z2`yvZ~%<)*L?2r(OSN?|jPT-RT@q<-c%;ca_6nPnVg|c_%%c=C`1Y(?OGT zny`CduY##7^;vdB^gJh?=x%)=hlgM6h-{4G_Imbx6BbhLFRt9Sm< z&qs+A01X+QE=qtG9B*E{crm?$Ull;#0q$B9(xixc7Twe+!eiZ~pL%Hipmj5d&`|`D zLdPe>pumH}r9$6!v?S^}5eA~}sF_PcLj&bgWadg(Pvo_FrXLj>+e~+{g{2^chq!?|##f0zIY#SSPLSM?MUsbTzLk*gjHy%Iu@vSK6T-xnz31bstS#}($&`W^xkSbc^diAs+cB-p2_L#H?4LeDS^%9DXkB|tH9~& zG!7h=RD+(EKO~J-zUVRFYP~DYqRDYSm>KBxL%PQ#=1Z3|lEI2ae@~cSwZeI}yQ%*3 zpzgb1jtc=j>pXs^UJ0?S09K+q6pZ5w*kZXlIt>bcBL>SP>X$u^-#(unnc3_eA3(gz z5&2m+dBppcZ$C2n!4)`JKXKx$JwJPvG?!WBD7<+0>5Oizh8wL}vlr7w&lr3i}_6o+!n=K75!^x|KUJF{ZiZ*B&6&D2jWiA(|e!j~rQ?`7h3{Z}5V_Xhai zD0b*ZzB3et+@WHJ39pYoV#5_e;0cytsGJssRLM{vPm? zQqaWfZC*&mcSGG5tZ5OQg1wLsm?1hkezlq83sNz5o339P-~89B+i}hUQtEGK6Ij$4 z0r3dwMNw5%PD$w+xX5^l4Wo$(q~b%CLb?H9j+MjpLW(|#x8HLAZW%^>E*+>Ynsp>r zh;6*(w`sY}+LExe)DHLu`UGJG4v^Oq`mwH8T;o7Sfk>9{6M3zattAQZ<506t_Or1u zedE>ce1(_s|JzTOY>HgUy6`gPtPqU{F!t^19t;B@uDbrRGrVRa_w8~HIwC+Dx zTB&HK9szM-%EMBBS&V#>ScQB@XlT~q?h4IUtbTcReC+!=vxjcg3W3-tzkHxy&A9xf zXIs}pQ$vw_#FjvtRBq(tkY$DiC$wl#7}penD9^q&qIdX>&Ly5joCVY2ytJ$Cs8QKi z;ZiE$OP`&4<@&Tw-%=X!?3?q<;D+jYcD>EOqv1%*;*wKg%s24Dtv#Q8R+8%T-GV|d zb$h#tE2w8PSL%0fFM&Wr$Vd~#XQ52N>0__&k{D&F-%|mD<@}V_>U_YUqC^2KkO*9;)y~d*=a&x8q)DRySgYKK z;#xZ|D0RN&#|5>NxP;-geKj*A6#v+8`rB*F{$p#-A;{1FzNUtT@g+7a#y4*|m+MDH zbOCviBpGPHamh=)zP_X&%bmfeL6BS!5#Y9b!ey2v9J#w)*^3mWaw+nlG5Vqjv@F z|6F3UtOrS3D$lSbUFX$mUHq!+U?DBP=!Y(!z;|NTN%Gah*ES>)eG~Y;>mL z1hQyb3D%9Sn7g_k_|{G1hC-l*X6M;AyQFRyX7uPDENuwWb)`}Kth9MNfe9AiG?}%r z%&Ih5DzD;42ze^dAv$l4hCeme=+t0xKS`VfNY?q#*651GyS+CiYX&zJ}{UhCdrl=ko1Jz?lg~zyn{2u_+i$B zMKD{%Z%pL~d>OP>8)-BvD=U<9=@y)-!BVElOnmF$z#W_tP+~pL{f}=0iC+Sw7OsOy zl3|f93@02%mj-gRgxppKUbOs%hEQ@cIU=yPO@#{FfF?GU=6KKO6ciqAj-&F4)RNGP z+Ux{GeUHNtn}E2NeMYkKKj-`x9qRsad1H3DO6<4qy*xi#l5B;Rb&=1Zy#rwwOvNfb z>hs@e+MZJVmOkw~vUkeLfVeMFi^Sb+86vxKiS3i&bh25)Pq~&WflG2R$ z@{n#yQpXH=N`G2f1{GwIz#?GSQB+A!iONeX2)j@D_j@KJefzr02cd1GsK=%vkAVy) z!O&L&PFt7%U;$drY)6NEKVDiQ`7RYhJ)=& zDx3L$^j#C8&ySw)I*NsLyi0CkeU5!>t1GguHil<@=L=PrB64RV-ZxLD0A=`t>fP~L zbiV_nJK#5dTk;_z_203Gwt)~nHrNY-B@-1wKk?@SH8uAq#BFbCZwH-VMdH2wBbU>U zKYA$Dx|&y9+`lf7AttGV*?~Q$c1cfOV<7ogLd?%TEB${VqMZ6C+WE(?^@Ek7S5DMj z3o%{hOt(UhWw$i!r{PREQtibH{qVHf1WZg!Z&xHLO_-8$%=q|V)AEyfa3pjn7#5~o zC&}s`lBJv%LHvA^;&PLT+l;JxVR5>%2!oZYOJS!34h%>jtc$-T3F1J7~z4DsTj1qL` zK6aON2U%vU0tNs>x`%&(+bA^3o|9dfeCcnECZ%?7? zxZ&#N`YtQ$P=xYH~taTM+ z$Sm#c<)x$$K$AeB=}AfXnU@6K{=f1zt$_POR>v_jF=Ffb_v<&gzo%liZK3pD8?fk1 zzq;tGLg&$@ma_TlK=m*Khgy-;!Bvl2~*DkZ=1jT}O+0M3Y* zwc&H(u;W&!6}HX==@=oJpup%(7r&O;6`kTjhHsN`?Fu97Yn(>m*dVvVE07ODNfh~l&rRUfr*7Ikp?rNYcm0QN*Dz&$zmm3J8IE`H=-FMhAJg3v zoOYR9N;WP6y=*~J+3;g((6zv7zRGf)ocbDF(G_Wi_mS!uQOV^4lWT4h;@R(DWyi}n>IO3n zJj6#9#c|B$`NSWyEpju{h1`EjRH2w`q%x8eNhg2`5&{*ha-iFf(u;ZgRW}G`)#wOq zc2an_+bAP)i|#b1zj|6)b4LzfRKlk9>D}kgZABmlM*!^`H8e_?X9vk=1>I+q1~YTe z7NRGMp|Jy%HwqK&Ty0i1Hfd{i-n)-szEyj&nupfYGx*FZKlu6R*ccYa&G}!uyU-rE z)q;BJ9j)z#_ohLn3x%Mbot=HB&0b_bAu{fNx=t&KYAL@2vQ3Ej+`pqy6_p(235#l# zM<=pvhXxfh9Z^661gRl~>Ps4r@tKBR6ab@%>aAWEasd(08z~X-EO^+x?FummSU>0W z3lR9IbyXX4Gk%!W$YXE*#pI)@qZJmpEJTvgg%;5vXZ@79ON(cwBvrNT*JQJ9lEkL< zc*%^>k#Y$5Z-8mI<}*!X^^FK`sv=#!oYqLSMp!+VVZY~8(!9JLdNO@(vC~kIcScA| z>a02IY5qW~93p5#Pb+?lw+Ou`+5-u{+(GNJMZr307nfqDwRSCa@i0^e_WEDAY@i}- zfl2l~bP7`*bNtr9JRM&2JGJKrdgI<}-;yN*YMIJ`5{n)$en1XS2^iC{(2+$c`~X`f z?i?WJ3~!WZtdhpY#SWV2W{f`c*4%bNy1&p^Sv8< zl(AW28p_JJFvxNO2LUwio$+I@htPhTE8-!?J6d~w8I7Xc0ag=QHn2Kdy3<8zOt?5X zy(IcWH9+>&YhK#!}XF)g0r z_^^MmVfcBpfb3>0lSMpTAXIB%JZR|eu~lQOUz4N-zkjr3dE+{1gs_gmS}cRQ_tV(7 zMbtz>m1`-c&Xjg4?b+m(3j(anoHBTlbeu?Y2nCl2n${S-LUvx;5iHQUS}#0Y0gmQ1 zpjse#?xW5{raTltiA0BURcR?|3=4Ei(NS1A&^&zII}B4(6yFZy>Ie`hBROa*9(wNe zDqIJbE_l7~>3Uh5v*gVXUhqb4S!MwR4-}6CI$E2$hbX;&<03X4ylViB)O;irmLBN~>krJ@ont^u^M9L4R_=@@YXMjfb!k(_*(M$wb zFoMGfq~R-IWl`j|_PE6#YCv$5-hnojGbg?Rtir6l1Sxv*|ITDyY(IKD7QWizo-`(8 zYdA_GX!ZF&l$6NUn%!fkmYv8DW6tJ0QPZE;FBNzaZ60Maz17k&a1*aRHNG=&liiW; zRP>f=M_}oDvO5mdsf(;BFNhzS&wN=BWI8=vzqjlYYyf8&C0zBalC6>sKT{)3-5&=A zZS&U(>pxVi8}WbPX>m5xU=?p^N=eExme;Gbx&_G!`Hm(mZ%up?b~GP5P|OE{{-xX``04DO4&b#Ir;7c6b)G z8t`77U0mL4vxD?x>vBl5G0Gwj{F7q(%TaT1XlZLdevFQQhKt1co>opLz|*&5nx+CxwGwHShN(;6EeFx&A#S9gTX(ueqnnFw4AF z;fu@qC&y(-4dec@gdNAQ=+E-S)PCIeSuygbdeba8tYYM1 zh73`^_XpQ1?iEf{ zDw%%G+r>Td!ZBN+gyQ%jHHsvqcz!3IljLMgg=VB^nKU=T(ajs1V1d73!`M)6Q2ul3 z==;|(t=6{o6JAT{P#zwEG8h+5$~-URtEh-xt)Ex%C8Ryzmpl4*~+QyLUW8GKkpg2g$Fi*%Dk zJvfK*pT#@}zX*(sDWJZhT4+GsO?`>qVt7xedj+Njt&sGC^71RK>ubf_U{Sny5eP%C z9u%wC>1fNSjKbjxI@-gB54ZB3pI?Jgmo{OkJHf^3^NBecx;Hv#nExj;-NxT0CS{s=>pFqpH0Ktd5fi_4_(d?o0>B8?S96jA30&wDzrxQ9@#Joo)?fW($XO6rC4JJlDz$Z6g>wM@B|EzCNJf zU=8nCG6Be9;nQ!Z_mj_ZO49>xW3cdvN3FMsi3#K@nT?a3rsI9dIDJkJYm7b9=POen zEG+UvufqBELoF>79||nV8%=q*gH6D!;W`Klf@Pi2N?*3g!8j^UJ%UXLg#I+3W=vNT z{PIxc--G40OX*iq5!s{;J9Jvylw9dKF|dt9J-Em+rwTFsB0~yy|ARP_iC;{TNLE&P zW*x)rom849#>TUsWEk;3(WCRsu)W67V7*Z-j_eqPE#Ihk-+VbrHCatsu_?RP+RSURA0C7M;3N?=UMCtsz zsRDhNQZ{AZaa6N$^-lX87&`z$!#PcFs#Zi)bQ=PjFt@HZ1E%s|a9d@2la6k4K;YiJ z-)4G{;ZSb(040G%_&IMa-2&t^BIDz+G9{13Dc38!ygBjB!2}Kds})$qny_TxlOrqD z|IIiftIOYKTKg%>#%_@MYqa|T^b~pFPlP}~o7p2%@pUg|Hqzf9_OjEIaEM-_?`E$vUD=oiox}aqKkc6M5m^A> zrt{rGGw@mGFDWTOmea{_%E3jW2L;yJ{sYtE337A&Q+RGjW9vRVr4w@InVe2?ulqkP zgV+>4&uPCl`cyqS64Q%))=K%#VJ(fMZU*;i=V{p8XO9K%;!scq{l?PK|HYBCH>gkm zz$dz1o5k=hUst+fsM3$w@f`N zBaVBDtK!?<#Uqj$TikZ%4XeDmUJt%?tS&dZk0lv!A%@ZrP)!w>0c)>jn83a3wPbFN zu>L1$Y2CKz%($(N;k8@8z9!ti3C3t{x`3mnUnqiO}M-?!3YXPZ!yS^QGrZ*iGsVpgP`yN%!LdgIL(AwvPAA|0|BxdZ`RV=)5M&BO((7(GG=Y5W5S**kAJ33c%qO{!furBKp7uw9W8@F`i~hFLU2Mv>`)caAOhl>Y$%^4ne4u0Wz$ z&2$`FV-Yxj*Mzt)^zcdTesHkD@P(yHqbl8^}2WU;2O`;=1jf}8)6wuwVAu_MkHQzZi=1RN%jC^#!9h`N2;0OAB83YC(r zoMa5rO^QlN!HTzx_wKw@ya#|Z2D-fL?5og@khNZm&WW?&Nhx%kk!h&}9S$%Oy&?s8uJUa{rZGR;=e15u9=<5L|CG4 zSea?Nnx1V}{!s#46%#{3tV(`8|FA>7#h8Ko;bp$p`o!^dnZ_)q^?j=Pn|SAxlnkNe zCS`vdPevqs&wJO9`^CHk(z642C!(^{NM>Ae0LO%!|9ugemknk|m1 z;dpeLd2SWw!7ah*3Y1$hW}4GZe`NiOzJXd9q=tagu_;GTq|@aPS6A`z5p~}fk4hKy zU<9wShqSbetB zfs)t>uaW$x)G?hEN-JoLdPPA1sYtb(OO^N*E zUhtfbF`;#b-{Zq{r#fqA7aC$@T>y2V*ok2#-ETVT7gger(A(Q&6ZRmcyWG7>{?vze zEc}jf(dwel$~p3031t`3ENW``&InTARQZs+vrkvnAH3{HXmcorMpWLN<`%FP~ zv)!t`dO%7gmcn4Y3!Xirm>4z6V^J+lCoO+f}-b?9*g z$6p?c!9h)UD5l9@w`h@*quhJ{qgN(#hEee!%}04gUvY7^Hrbx@r3IY367B}5oq7;% zX0qVj(ZWOMiz1;i1kr_7+H3tl_7 z@GwKNzV^w1_d5AdIUMT9xM<502c(ugU8~<47XJaQpWuhNp@Y^m2N(ZjEuu})Cw;+m z>Nex{gt#QrL$_bf3H_(^d$H|yLCls;LVrEhvaU@7=R+fghGxH(`v(`ZzfS+f0u*;d ze|d`kiTS>lv*$cd+4Sn5<b16(VA{n z$2w*)>E+4h)lkf9?_Wg8pVtH28Cm)I6@U(vl-fU^yqoLYMs2Ea5eYgmMK|dDpNHVa zuG^2PWX{HC7n{uqv7@f<#kS6S0q#Vttn(VaS3whH?i-PZ&+gs9yu4T}nKRZjQ)S{v zRKpJQtt?a&0}*7SiHW+fkzqQlx=Uhww?RZ;w;F(NcbFl%nOwHnZ+-m8#3(}Gi*|MD zh76*rD?D6;v_0Cz>F+dWns_OlfSyCxHOU9`JU5@mQ`!3vUGy2AR7t17iT?HDLGGdK zraNLcUOMB*H^T`76EVaUbzk~T!+Ly}ne`2ciRUrT^B>AEep=>3eQwls-Oy1;!uL_* zn{^E8wxfzlj@j2ykZD``?V*o)h00U;Vp40n&CLrj0$ivTx#BEsRg_=I(*BJQu~UCS z6_b7A%hS8BX5~FXI2q1y!X(O9;#!G_I9drsCGS7_BkVf1jtHDRn-dDyAo7#O-s63@7 zd6>vH`&29DI{yDh)mMO3*{oe}x{>Y<3F%HrX_4;kmJ*QeZjn$rq*Fk;OX-qs=@#kw z2jBC4=lpXi=mmT4XX=i1uUYd6ub(5OTS`G~2R0&t@UbWr6QLK(UG>ABOw0K@TvUtF zL7rPhTQHYZp1uUZ&^P1pPknr{L_L!r#IrKye7R8Rwh-EHY&?gXlS(EpqWH8z&74b% zICJs_kF?OAVTtbvUORYiI`M18lLY}BkpJf zzHL!{v`UhCa!1;nfyxG^U9r^XRrBei%gboqep%Lr>%Of-)auOjU&eblLfhnFMe=v-w<-{m&(G z6#PZ$q2pNnoa$jIC0ajaCJISgFL`a9s6pcRr?41>47-TX5%ycvwMRvDj7@dLC#gG ztZnJMAVsyceqo!7K`QsI2`Q}%h+yT+TrM6IOzs+eZ5$1Nh^wSK=eZN=l(XqPwbzTUco z-?3T6POT^&@PEo4Enh%J@nq(4ilZGC5Iva6((xlfsK0yrg7Sj`fN}tp{YgMDPdYBQ zsfkWP^!NcF2Kbv1=BeDkx9d_OY=n1fU(gR-=^jI-!C z_#GRC%=F$fTa2_K*6l+0_T=n_Np&uFD|Z^;OQ zic;~Hg*&vCA1=|N&EtT-?MVECVf82DYA>G1{;+~Psl=0W`C22SSwqrTqa{g>;a_0@ zLQP;je%Q>PbUx$e)1FwbCynbC*U&+9Xk>IIk(Ndzw0-^o>FHpR>kh`n!CVmFfpyvO zczJ34!oqYbzqNn$>eU7>hO_Lh2=9}`5XgR*bn8(;-Col1qzAR_Q>wrX5DYc_MEvLJlGd!o%FeE5#?UY3N#zj8XD*YWH^Oo!9TZ%`a@c?isQLg0 zxY}h~@rkUt|Fc}e#Dr>?nN>aprT6y>?9=N^@7YK9g6-Kfm8-~C;BY!rm;~=t;wf%Q zQfNaySD!#sFRHx+vv&_Tc!Eo5R-0I87%+BXbtMnI#)_7EiMP)F5ueD3Vmp1q1r8bstvdtKp$T3e#=cYWW9OK}?j+pY##haH3Dwar z&9*1Rnm5eFiA9DM3FQfGdSpO|CSM4^h#jN4#+RjddAP?%B~rT0xF}x`D7lnm$m#!` zcn>`g9a_qrdpx$|XIt+QR2}}&@>{Hn?3i7L1wxSFftuixt20*D+D z9DD;}p(vnEuyZ`hwyTpC5F7B2izyPi#^JZfA{=)hC5@A<<{hbd#$kBeNK@|p4) zWgZ#plfMY3+tpo&&u~Hi^kq4EfQphlZ8stn3s+!oG+F9HNHr545*z$sp!*`@*6EMO%ciC>i2wcV(7CN403Tj6}3cZPy<*ZS<09E3>>|BI7IY4l@*$S!|;kY-#R9Co03!t z>xc#8xYor@1s$|7Vt1<_Fi?uq|Gh>sK4HIRUfDSZO)zeXTJW27M?Dk7+UcRez8E?J zS>)!W+yG6DX+QcCbRO-WdhKGl`bakCpH;3WS?Ml5&=84;(%IeK1c$Oc+U3I98u#|m z3o$uX5z+xpkAwm)!z$3329gLl?QbM%&j+!iH^aRH)6Qv}(n!_os#Xs_+bnN<-cK7icm%lHrNm+ z7qKN`FeacTt5}26u2<0WM+-@Rk-`kCxV*d<2#r4b+ITrqU%QLsv3YH%DvC74+<-sFPE*DZdaCte@{5l-ZD6 z&Ws>s&puU`_({s}vvqNM7{zo(*fG`Lhava|9dudV;&Ub~3N*jgI(4@?9gh2!(>VxU zlLA2nT|wVF2J$Z#=rldS)bt&3KmPh(Grb+1=!Wc{>xCbBqidu{cu?3QmCS}eBNw;N znr6wndQ!U%OZ9Wa4F+&fnf);}3b!696a*0w|tB z8b|M79yJsexn0Y>+*JhJ)tU^$-e*r1SEm9%{uz>G6`wRpl}N*wK(cGa(Y&&TJR+-%o-+C`9B+Tk z6Q_U!Xc)iw8}4=Bpzp6{z2t(N-w_|cq&u}%z>wc51?AenBo85r1$N>87Nvyi|Iaid zIu*@mD^)mj=LnIaZ|@rs??i1qO2VR4(=#LTGDrGX4sbGB z{rv)!&3zVraeL}o0|dIMDMaDgNGd(A!oiWS+|?%u(I=zO7(Knuq{N--l-mFocJ?kP zSq>V4PAn7oyEn4YnJI%g?>H$~!2}2`TQIRU3t(d!Q~qh93s&Iseu;1UwqYI<2d3kN z82kIpa{5Z!ASy}Nh*Sjg)MtTr!d_0BD!m)dRlcu?pzmH?jk;SZ>lFt~TOdHdn4}B( zL2XW>$;3v9>bVkl_lnEhc~e|;WK8{iq!ulv47S?3ylJb@CgrfebsMST{3!7t+SCNB zAnnO7{+#f0d!KZot;TBkl7ZUi)^&g2*knc6!&&gib?NEh8kpm@^9>p z^|Acq$Y&T9O~b%Z2rtHP833L$$KR&(Kg)h#GkefRTH-4lKGA~HUW@NQCmVzUuZCTa z9l~oKLan?ey+VzY_6w+-5Dd;Rr9B-k5g%Bs(C2v8?(>^Gb`wY`JCS$i+&w4ZTY!Zi zqF}A&5PzW<$Pzi)NF7MlPYaKSu(vI1h9}CQG1`J)6Apks>B5>J>(1Q2It;KQbz0fD+pwPFOOR3Z zM&r<~CmEamp6hb>wqfSLpXaKgWtF}CgY)%;0=rKLJhIcM94(cEx8rIV-ew&rC?3Kb zOqtdG?ydOyDUn!{I0x)q?rILpAWffW~4(5*;wl`SK;SIvt}FfYAUqaf~>XJMqv1&kY6fZ1vTP zdkZW|!~Bj`#mu{om44e4^yjsIreyMaLe~ehaeeu8La{!=XdRnb|?-rVk>s_HCLx*^&3xWVPmdcPiR-@XbG9;&b z%63w*fQA@iT#Ec&X>o6OF2|PpUM)^R|IP7*xLUNP$Q<%DNm&~Q>S=F&w2GzFE9K~EN?x(?XD*2t={PQJ+yuA zxd}Jw5}SD@Baj?Ba-DgM&skGPFEc~IEEXWyit1#81Y-s$3!pt`D_uf}nvS|~Adgjl zmzV!DpvDs+Fem5H@uzK1YI06*B)=3>rh|VfK6y9`K}<}H@?q^%KKmym%<(zd0^q@X z#Mm7!=SCCyRZ_a+>RAl)%j1y~67or=`4wo88(~veGXq07C#$UA&@SKYV91p&+?3-Z zhK`Lb283?K7Wu~LKotiQoAtRT(cAOY z$))mvH>##Kp+vjSX`=-Q{}3Ue5;3fEVTA`nlbK#WaC&8@Pn zQ%?TRSnTsyO3RR4+7F2FSzr3@poJ@Rj7;1Ja#57Lyu8#FvS(t(6~eL*Ybpd8m2D9OB18hABE-xDtvJXY*slJs}#t+@Dwp|0*IwMc!z*M=6cSrXr=Z;i?`>r(1b z*zc0hnw2Q9po@`^hklH&?Y)W^kkvTjCC7x?`QFtr3PY94DOl%<1^HEI+h_G0d$RYe zrrOQ`@8wMmSBc1YQP2u`@XWR}A4%xK2C>o8B??VSvb|K{JybG1R8~{SJ=W?nayty| zsYyj)Y8;;J<~|P)w*%IwA6OsKi=@|*);?0>A%!5qjvj`7b2;zfO@7woy$IX;hlB7} z!*Pl0P+D$xeI6-&`Md14VYsl{MT4Sx7V`Nf?^(^CXb`skL5#x0j_i*e`6*%r7}UK* z{-PBAio@8{fcys<_4hTPV~?8Gy%p3=Dw@#?S4bC*{`pyqeWnXzl&e65jKAv#XnqDp zCZ@5kYER2#oS(itN^wPm_7%4jXIjHiiv@Z;d68I3E9*ww_oATh1PFc<;Y#$;BNdse z)a@dOhDKItzrmWe`i+SU8$alo=w9^EdB6;7z+5F2djrs8DX?N6_{)vhf)jsxs!i8R z-bjj5CbKXF>pd4fzJ?8=3>Np1Rgx563pb1Wt{6k^dfk8$xy#Kd9hSx~KvI0rx6JV( zR&zmlVV%fXyI_*r-D7;wY3omjbp*ApSJdCx-4VCk{nNEiuJe2>Cs7u5fQ=#Hb8c7S z?kW9`Np=EoyJ+|h$rTKx8jk?AJ(T~Q>-p?!tH4jmwq4WmC?^+%VVDB%3kvgFpuWq( z4}DHU8E5D(Vo5-lVZ z`A<7mIR}c zd&f$W28I;^Pk!mI$Q6*t(Hfe9*AkI`(k-8@J);Ck(!ot08YXx9NmR($B-y0G z(2YnF$zSS3jx+f}CO-`7Ups;M8l5Nvam#}r z>zrd~Xxvz?1bLF94mJ4c5s5-KxG##_6eDfK;fRS{BdasTC7pBeR&-hkMj!04Z9bPl zAaVU+F@mw+R&okzTH|O-8PI8*;rYXktqke$`DM~w)qw&n4qo!P-7m)E*z+0V-(}U1 z3HzuRExN#}my=bZpcM-!#Y=T;=?nc0PZz7^mN&f@GQB39vh>W5qMo4 z);-~>@Fqdl!;4~^y3aGN)SQ_Gd|qZV5ezQJq|9Fsft4v@IT@Pa|Yn@NQg;T~%eul^aU&<3(bzl}+8+$IHv^-3urP(I>$w-+g1IG)@2XXc`$>6S4*H_T#CDA>vk6 zM;)0GoAl*&(K;IOpCf5qP^iqw!%ABx@uoFOe<8++m82q(;!Mi3;O5Y?qQ80%s-p6R z+h+a>Z{ihFx}SYxMf}VOF{FTPegR3L8vuOgzb#JzB3gtEwsbltWKaLFUNScbk#o;tqa?!_}FH zJ`wQDgLJ)--zmbrQ}hED1<76jt6?(k3lDGlG6jxQ6HDiZXihBnqTTaB;Tko<7}y^>>Y`(Uh&0;?p9OdgWD!_AbVL zw!RXF=e9Ut9NG+AS((^7nLSxz;-)uYT$h(ONoFliOJ$Z%6a7kI=oe}ve}*D+fFiS4 z=oCH0ZqhEVm+on2?XDL&<6bP^2=s?%QTM~0_q5l~MV zMv~XXmwQ3vnA=1M^x|tU8WjRt%FLK_wFoBt2_SsR)8R@Dtgz3yzathn+c`uwQv{lf zNHJld6R-hEgnt_K=n?YjVGLTTAx0R}SL7`Zi+C_|%Fq-qWFs6jAv}dy1s|mRrD*%R z-I>G^m4n=03I>+kC_;qQVHDN4b4u#r;P@F*6Ejd+b1KCSqGx5dFmPeEWV*HD|{ z+VFS}v*_@4%DG%8fDn#QODzeZk*R(TS|SGnyj=PmcdH;)c9+IqjQ!sS;zEZF>X2?` zn)S?wk+&qMGAhaJ1V5yKr0D)OusBk{JG~;eKy!%r@Jka^PPs z0IrAWk{FI=Jr%|QgDx&&sN;d8FykIm>ZcEZU~5^aAzRhS74`2Z+JI5~)UZfKZimim z$3sWNl)37$HanQt6f2Zob(E%B{^b#q+@w9_hN3 z`+H$!d-z^J=KR~n8@g9hXNyZ5y8J|L#oHgU?yo3uewp`qdsVhvQ^w+6!mTm2d$5pQ zZ|$*@m!^zv_a`4BRK4H#wVQLoI3(5J;{GO4sxDTLWO{T^to445ipfxb)dGtC^S7h^ zh2x62z1w-=8Pn;H@(4bQ^Km?;lgU0{JTgTvV=@{;is^@VjBh)M%2u>vC-yX^c;3BA z_7ZwI#Z#M8pMz$SfFT>82#gS(9z6qCiBn_C?{ zy{+n9a~sP`4I}amY(A1~Nech2`2eDJtTSiXLYr^%N_xu})4aAiTj6%4n(rjGvj+)r z{%==p;02k69%ns1pdR})6dU@98NmBqY=oJ%wU!H_8=w8WPpH?(Bf>X5pFi0o6T0|y ztfZoWJ-uS@0)fcAnOg6DQ@>7pxfEXLdxf@ByJviCOG{^S(~9t#**=xml2IYz6eiYh zRmpm4!{qcX!pe@}7nWX|2QuD>Lid+ebq|*%u_TRe=en#Is5v=}FlfW1%J)Qd&{(nu zU%kN$jrU-nhmOx35==CKjv>J_J98wmQHzlNz+@REK)o=FIK8<`XoC&HgPUWZt{=`Z zQuN)fCLE$XiUSAfhAWdjISoT7#Y-vP~69$rON!3)jr?2x8H*PjV z#%yssem~3VIubg|SStJ~c#|UjWbXC~G`{DkzsOd9kzf-m?T}1(>hwwZx^;YPVw_ce z=x(kt{(HW^sQ(EhjyM{q&;Yb0?w~uH0KD>Vi;UPpfA&dGX!~5Nbjk1HW5;T$OP$MT zf-j-6r@98O(b-R*hU*)7X?GP&_fxV?|SORxYFLaHs;R5XP9*P;OhzTq6}`CujR4I z=iOk(2*BQndHDDScNsSbx3Pbs1alFisS<%`l7MJZjRneV`7vba8N@0!$18exDKYjA@&6Sec?V2E7+_*yMc7?i2)x9WM(}7Pw z!Sg)yFTs4U&|<-g3?Ej{5LPb{`fN&`wp1TDk%8mP0KTfp@&DprH&bC40zLeUih&f8 z_s~p5fSU75Qn>wlu=uf|5_Gh1y{lQqOZ{o z+F`0erYxU~I|8AFahl8;nmt#WPPR0^d%WJnB^!tY=us)fS zv&lcvU3KhFZef%dH`!>3Mg)tflT9;X7&#sdjm}X{10Ct9uIA0<)M|XL|8e<1ldKQVQU@w?(9Q1Vg{-n6T@54n(zMaU7RVg z&h;0a8-*Pk)3`w%v?ET7hmqTY_5;Ob0~zz9}DIG$BepW@^uHB9QogDX5+l% zj415Ct`-NIY~@6S=vmk>ZUtX!Hul14W_rq-U<-3#9G9{im$a( zHMww6wiU^L-@tj8O2tr{b|36uX|Hc6R9y=$iC^bDmDW{EOyxI5F6{13`-n6%lj zzi$O|I&3UGFM!kT(udkL;WxVpS0cKYS<{?~ou@0#9*&Ctw5-O28KjgTS-OQ_CCHt-m<#)b1sEY39x;YWm3Jg5a0b&I-)J!YQesTSjRBEC zU)XbbI-X-b_^?vejSPdruEh7(-6J|1u2L(mc{7Y7|NjzK<8JKpLzyGz z+;tJvy1Sn1wmB|yd2ipH^_b$WUyb=D z67h#FZT)oTn?v00h1Yj8tgHJ@8OD>mUfip}m7l9=g>COfv{k%ciqszp1-G|9K)t** z*(Nl60~xbX^EfHxT?6_VMr$qB_w{Fef?2?*-X~l{Tl3F0n3EfLU$+)HmDql!5@Q#6 zJY303)^{IPIhglC6}dfM8Rd(^9o$+=D29R=DE%ZP}II_xgi$ zd|JX#2SJljDt6t~&%>ybgB6~fFXPCN6Az!+hI{&791P(8jXsair#N!FYzf_N`8{em z=~BYW0&$Qroh5v9dw_auJ&4^|L59!x-O|V3o-6A8%#tZPOLcc#0HJqwcJ^`YLqc1Pxiu_Z-g$_c$ zhZmgsH7g>)co!5tH}0!VFKTuBzVn|gmvEW4XP+JU^bwy?FA0oGes#1EAZsv(!ct^F12i_5>S7Qv z1&GG`VS_Q^V$qs!t}^vwDA{95cnQQ+a(DSt`MI%;jb*Rbc}l^j}P0de9kRG6LcSBtBj6Zfgwf=>#C}CGr4>)O>mY2rmbsI z>S&} z-??QY=;bP? zUVeT`K}MeAAm_9d!+4>mnM<1PFh%9Kc!D}MsuuU_8R>8h=~o~aN`SA+== z^9sBWF!$`(A{TPIH&$Dnt$A=$iDH|E?GaEs1 z-z0B-zMT)@KK2QC>wCCG8FQL~Kl2AAym9-&_GDG_ZRgaT0*E`3lBQSRJYMoVTpy28 zi%EU1Kj@aP^!2ABf85L7C@iF1yNz283T#nG`Z$wYT!2Qny9H$kPW1;bv^&#g`mRIK ze8vWMf}UK?yzH1Ef5<922LX#ilLIh3B5_hbZ#Rz(`>;hGRLwGgTdKjXLye56_A%FJ zIT1q}I(4S$A9S2slw``ZAlSDaw?1lfL!TEQy>fIxS~L*x&up%4pLHW3i^IQeECy)@ zYBbm(xyqYoa7s%?oj;dot*pOFF%Qbg_xye}N%67gxd$%@ioWDbB;B<8RhQ$1cXeV0>->m6U;lkMB1etYIFV&)xtt(;n?NJL4 zBYofD={k^6>l)4SZCLS$87`k~+AvaEX>~8_(mZZ^xyRjZcMbhyicVMaMp5~`0WVSE zcJMOLGV2!Mr%%nhv2z~ZM*MHf9)uwE0OpO)KqZ7P1HSKykKV)sQ-=|EqnP}qKTO!* z*x2j`XCVy4wHZGT+>}Z!|MapcG4i+8haDh{h}+Yxam4ezjOx!;VWc|KYcYa%{;H~M zpdQv*m}Gggl(o{~PTuA+w*BW2;ca*Kvt@X&&IUD^g!Wy2jL1YF10y&6O)nsf{Pq0 zuRG&Yix>v7dg3iOTo%M zC&}5CLa)Ti6>@M_+hi?ZD|UfS5)&O2o9?V~8i!5@TdbXL^&04H2H`aFsg2}L(#B`) zYm1$C_kR1RaGd`GMf44^Nx0WGKrgtHM(z#D$akeITwHp!PN;k^vfhubEd?>2_2A1z z=k5aKeUJ$LSx}T}x{h9m0~n22q=@N>d|5wHi4j})_QM}fwNRoog+M`vRxFXbBOkzj z?C4&(r7f|!ftK{Wz1s)Z*+@kdz<`XOVWQpY!Bx+1xW;&R+jZrpPxEBC>9w-9p22%l zQjKywft?KyRp!k@2S7kHN9=e{i(+}PFQ}sz&=q*VS&?O;7@f38R5FD#NqAd;C95VV z_+m5qX+#}=Hioqb3-G#WLSpQFDk~*vM8C-LhjQkA9WVOjv2)SO)@xg}^_9A)?D%^o z4!mP-36gpp^T4RAn1LI|P=x2sI~!kKfGaC2@ad6pebZ4^o{V0{MsxJa4Z5hafwRCf zGcr~t`&AS0wJS3YB)Y##c2)v3nKGT1H`wW)>Meg;A1!=$I>;)oFns;kN{&0$RJ^yt z+K(=q>gwFjz3yJTt>})KF@R1eI)3L+Uwf&0tS~3zN%*G;3P$@W4dCXgHyQRK&b`^f z$6eokBN7dpN2cmL@f5?Z_KV!Um>2Xk!2Y}xktGDsqaj*+=1;<9jp?%Kia~Vbw?u6h zV{eQOYozNR2Upsm>ugq0Fd38Q9 zSUD#Or;BdNxBuqjBUhPM-VadyahqBab(f+}?Hodet+((r1m_9%zW2+-%IcH;BCRLr zLS*C+N%L4J&zix-Dx2%7ZI|aWWqOgoT#&HdZM4d)d||$gPxjmzdI8CvPETH=UOe-Z zEwDs)=2PYWGAVDBAy<(2%y?_tvZ#|2M|U%3+z&x@Qd_{9s_}QO5Y3LdR`V&J9HXwX z_6jBg!|Lgc1{}9DDI5v0)4b2r*JnDsg za3lK5oz%N?v43srMxYjrs7)ZrdpZ!FuoG;hdskcY?(OM@a)T0WZ|Pf~;4G1Q$NaZ) zijU1lCAP$)T5kP^7rAYn9IIE=B(_CN<@Ydw$@*M$CCncq|AIT`F?eO~-@*X2p}k+P z)(Q`AD1+zVIvofN^g?Z4Q6xH=KrYqm})h>d0 znPfLIsbMIN8DU9E`6(h3)Aud63rAsCu_sodPOJUvUr5$|uQ_Ud<2ci1q{p+-Iw#DiE$&w&+`|EwGi_cW=BQ>19a z_?6>Y4sd>L)AYCKO%%@y*weEdzW|jT$L@lVpqI}D->n+?{eN(}3@x;tMv{Ms>IMO- z3t3<%#lz_hg0hd30Qc4~gV6qd!?BT5zTGoO%h{2q(8G=}kaRif8C2lC^cu1xcFSOo zH@~guzOSiCXG}Il`>0rWG&3_X5da)}Q5)E}A`fdYvo-e=pLB0h-hVPwL!?-&6wz@0 zI(d@u*Z?EqeRC~S|EY5*E$vyO9#P%V!m)2`VU|bLN>is1#@q61rV`fWY>7U?mnhMr+Fp+NT3V|)6KvEC$nu&>i4i45CNTd8*vw31=b~dKd$D!-*y_PT@L#~z zR51@{V}aLF;`!Rr{&rqVE}3pUdGwxcwH;aJ`@Nj6ZJCe9g?^pQoXvp9El3w zWu@Pn>zifxwLC!KjeHIbIr}0(v)9<516=cp(BpjeLL}I^>RhGSh9?7A2HwQ*L3pZX zUqQeLRPX>s6xxaqnWL88Xg3B@1kQ{fFNUzN9W4~4i+S{;L z3=ec4wf0l_`1u{eFr^BT4yKI6B<1hb^H-e?wqDK5qbbK3`V7hyB_Thw>Qe~VzpT}{ zJ-Snu2?4cpg!iy9?nEC+W|&!npQs&vS2#S|X~zdIGnUrK*3zDkVaYGb-*cwv0nnO| zh!e-4Ez8zpEw$+`At8?-r#Oh^(qE!IRuqaK{XfVmkqZFTO~$oGP1Ze4hv^&}Z*AI8 zV4)X%Zn+b(<2s+dYc(GY7A1;Rwp63@8h9ZAXazuD-j{2Fr-%K1xZ2xVPPCa? ziHkofp{RlU@77abN}eHbkzt13PXhZg2iMK+&Keu+Wq(ja!^8?{#EzR2guc%`8$u zmdb6@aRz&~^;D7D+MBeDi zm>KG;zvtemxik-u4WH>uFA5XEkfg^6tShBs`?3A310OMVTJ5Pk6^#T3O>c$;ctk}> z|Bz3xXlQ#n?KnhfNbV2HK^?hw^Sr3ytK?0-2_Rtq2sE~gfcl?(&6Q)n@SYy)V0^#N zHicS|w-#r{NdV2Eb=Udsj`uPAPouCw%gt!q$yp(JY}wgYauI;jTxi-Y*OUADQPeo7 zzov#zu#3fc9c#gTTL=?rzZ%J2h?)j|*iIJnVgJ^!pZKj`G--33B(w~C;>Wb;QdYx2 zb9`Lm;d$07-wg+_#K5C3x-KCz>9Cp3x)2Rrw)x=KAMp80NGqZO-5tihIKL|hjx!<1 zuLT)PiKzm(3Pq$rX8PU**=h3K3&)wgQfa#*u9vtol0ZqCNsN7^!Ms!JjjMzj+m%>ncA#hkQ?iC=q zWEZi)MOhT|n|c2iUdMcG1j>tg)h5PjD|??cGbag3-x@@;-bUr!G&SXN$}<_T!T4QG zZ(Q}du;!I~!2}pn)m*xa!dQ2bRY$M<)~evMr2u!4#b9h)pR+U`?&g(?r+9Cv^~Q$j zlL)Dw&+ZDJa~a7J4?;Q%FW8OQYCm!`7>&95#0u5dN(NcG^h+xP!9sm{E0C=OylJ0> z%212}$QeXUu9rVUa%4mp${mgUOI7a{+x>xhi5IDk5)t@n9!o4b(#bwQ3peJ9L%^<@{%+{0==zN4$ ztr^0|Y}wZ>j+ZEok2|${Vh(t6X$w@p-)862^C4uJOmuB{?0X*{ZmN2uih-VmFE4i<;Ur^)d#6sW%D8zl{|+s5*<{=0ivEJLcbgHX7S^ocn#f z-Eu#f6(-IiA=UJL%*k{6eaTm0zrw*7eXrP8nJJ*&F_+|De4WNdM~E;?=6d7Hl{9nn z$LINS_WtEOl;|sUA2q4$wF+KBq}uV#5tHjV{iTDRpmu&7>-}kymeVPr@K@BIiTql; zdG%%7$cwvKAL@~&V}8nHQ7XpRvM`HF$x#`)01%N#6CknviXwma9131a}HR1Q{RCR9oihsEPF$nV~VSegen`qDwJcXEUPD56b z)6w43-%GAJ*H-dKzK?r6wc59GMFpQWs=dd#@;}8W7yP9b_C*%7qTHfuuCAW8iF!4v zMSH!a@8WgP#`wwv#QCGY)BhWjg6~{MJKR`$%``|awg{Ay3cFic8mcp~VzSi-znGj) zf6Z2rq4oh)SgrPR#2+O@YiDpBUIkCqtqka;fy%VW;L&=KKLM2gApZ9H1F?xFPjSlC zLFvEs^uLao%TkVHOCdsnfRj|IOfEyjWJU zQhjy2Iaxd}ac$C`Zfwd126A-=1)dvPUYGZaSsEz(hEXb_<-|YnK_qd!^m!0I={75A z%!U8nv+(eF7~sgziN!^6K3OeC84(0vxeZZy5R2u1@w2Caq{##H8h`{DN6xHfjK*fy zRKP$mK%(4)r2g(HQSMA);!MOw8|yD7BzW4a>}!ti$INym&0ljy4ic|kT;(Qz#^!1O z?5&3FCMqj6YTcg+|E;Kj7f61Hmt^YNE42^<-HCaJ;M6h^C`tiX?ywSkzTooWI*?Y% zin&Q))!M+h>fiz{?Oz)6PI`mz%h>}K*SU17TGw?gZGAOxt{nqHKcLuymV&pwHCQM? zg%@+hj__Z`2{1QSUDn6WQgs{egCY{aLV`TvIpk{7H7cpxmBwohdcWl+@d4xq4e!*4odsdb+po0t#jOGf9@%kVj2$X2ksSm`U3D z9Z;VxPuL`@BnNpa)|Mv z8>;mZ_?X7sQ!Nfb>=~vP{syH4A50Pd$3cP>q%X?FNT|X5q9bvRaJHctTKY|GcIQM) zvYViezyTtxxTQC^^`2}q?TNi7NePKJQlk7`^u(M>dvEc?2iV%QtA@}`n5Jv>ZgqGV*UuFfxiA@$NzR@ zJU@5Z1{|cswFafw?sPMfZbD2(|AS`ju9OC?#3T45^o60a@iI*lzP+)Wr6b9?ihUhTtBL#m~ zBuO#H`=99cgB)mTN(!c`FThH+T6As(MQq`OdLXWMkvg0~)^hV+cnF>lFjVtt8QEA3 zMUGgM#;!hov=P-P$uVr7-jYg*(KZD$&Z5RqjJO4R7%WinWc&YbG{Ko*KHoc!e4ny> ztg}euen+540`uZUWt0saEiIbY(7Fw=8wr5^@Lx}w8npS&ZeW2C-l+qGS9tIq|Fmi@pp9H~aTC+rZ}nVK((>~A4XN^BSJxWC=|^6^y!knc&8mKyC;Rm&Je2|7 ze{=~xI1urM6#PkeaO6X5Z}vg81P=fj7kfm$6GmjdPq7*tmdr1B5E#lNeL?zY@-h5* zCODXhBXYm{22iXZ5Kz95(Dy+B<)y1@3CRsPOH1B|x{IiyHuX{sG_S=(0ckZsR&~w; z_K0vR=d-IjJ`D#kgHTMOkJ0_Z9}rh`o5u8&#MocD6W>+v1P3}?EgcGrvAslCT>1!v zxK5fEas!RT*C0arA5Hn52*$uiM97vX2Fa9#r(0o$-CO{G6ozJ3Um8wQS;}3XX>69}o!XG&uxfHg89d2B)-#k{z1`RV)DK{F><3eA$k( z0$8G_9Wc*U55KMSB~VL4{+LBwkNZ6$5yc>*Y~gX3qGHArgB}W4Me@PaWH`BmlPHD}uyx%+C(=2?!$87v!S3`^E% zobYYj2CJWL(6^u7c)R#fy-(M0vbi5E8vC(iSUF17p-fD56UBu;PjUEvG+kv_lx?@A zyBVZm=u{e{yE`PMQ&I$^yOENXW=KW4q)}RFkd#o6?rzSF?{~cB=QuO$XUE!WS1alQ z?(|AU0`7|bE74mqVvtKq!NZHqYsJw0ee%m~kK!dS6Jhj`Jr$d(*4eP}qk30WF2(`6 z7d{Uap@4+;Jw&PoQc#VT8n<{k%qBcG@w+SLYHr|%%E~<_{9$`Brl#&E^Rd5#V1qT} z^y}gac)c0)=L-q2a&tn*r>&zTXozsS2{_pCI_@|1uaR}o!etMUtk8o0!4Sf5skLAr zG_AD|UHedjpRqF5uT7oaOWOf`1MhfAMpDR${{>MGraFf0cw5A@yAU zSCo2V>hHU=$d$7%aA7o%K`5Rw4S}+6ZG8+q9!4*kM3CMzrThzNrb<&WBDd0FiD#*= z14$x*C&707hTMyU==`O^y1HpUvcVa#g-oD(!;$LsorFTv_k9Xpq2%%3{8Eg^v<7oX z(F3@JZIra;iNq6+$O7#h8$Nhis%kujzZC5}m}q4eqbQ6StZ1n_CxK21Mq1-iq>0+G zcq7jjg>zbc4CGu1bT6;DIPG!+x9&L=4PRWn-=#P*njz=s>KQ(V9G?Nf075H24i z(c)g)xcV(#IBCx^!?(hl$6j3tO3Bc5?;XKTWw0NG3S!Tg)6S1I+9&T^$7P9sgK>6A zsc(k|6ODp*cKfGt^91kVK&A1~rACjgo>(rAqqH^sX6D~#mF?O<`4*(X9(rhXj#i+L zQJ{eptbhRL<$H&&Gi~I07lXi_`2i1GzI?HWiT|0rB%Fy4XWkMmskoq5x4aKk>P z`*a00Cz}cfSe~J^qcgRjU65`7^68DS!QD195Dj@HKcrN^1A^zjIwT7M^D!|=Rvuz&Y{4R^Q6>{iqN$>Nh zWq4^@T663`X=-Q2zCpjio`}kKmuo0nkcTl(k_daG?2QKts1a=s`p$UzQ6L6Hjr0K% zU2jkIy1Q$)vwIb}yb&w`-ELI~IF@SGU=NpI-batcj{!mR^_PkGm`a@Jeerem_p!9)zk8|LtrwnTz@HOk_0n>G!!BY-JBzaYUB_9 z?mKx9fm4n|WP7r1W*8rR)BU{bB5iZG&tF4@c{8-#L)=kyVcejJ${0Hf59ez1`niin zh_qAP_#dTjw3E;1%d<$aK<2_5UB>W?opVpRu@S>}od@6 zW8es9bbZ#tP1%VX#SFI9td@%3v4B&c)!+mo#q-y2i;Mp7KK!ki{Jx7MBZ-U%(H1M* zMq+v!%%c&E+|e>226Z;(SI2)Z_dPo?>*grxR@45>Z%!y`^DugD6}498@Jwq%$(lk6 z@ZwXO%vLKg+M1m?+Drt#6+pwjB@++!YN5&c&(Vd^q9f62p7y?p#=@z>4Z3INv#$U|6#h#3+*$(D#eY;4r+wAkui2Y$0vENrwozfm%8KEj2 z@RAve!YL2_-H));tvutf|2lTW&`EJ08x|zS#)hsmr7;GC;dZJ>szsnH+ib+10m^2ReQn+yE@=Ka-NZ)C z&#!Z?kY^5CgMmyd4Kv-Ak&OI>2A`&bugAW!hf&HT2 z_7_`SSGwRSM13IOECe{iU>nG3JQfn}X_-$LH}}c@Fe?Iu_Pv4`Cy9oRP8cbVjTzWl ztHEj+$Tdfec7_=w^|6EcYEisB2al zv71&BDlX?}@JMjq%q7_Iq{@_JoLaF*+iP&2Qu4EBr4JLZt?Ct{RI3+dmJ zW8OR%B%n`{pciCFR&Ys!))ZB_PqWO0_*{f5tjXxZ6-b~355Tp~1dDh0qn)KWzii<| zOwo_RJhyo3@f3SjG&pcH*fP1*p0&fEKnp(oNZyy&xrZ@ZV?!Y#%b{obmKXl(^Z zd?AsVBdxbv$BW|+kDjE13D$f4uLmfZ^(YHX(tzUJyGeLB;G(G96kDw|4Rj#0`5QYr zVY9clXXoNVz4L19`NhCHO2lWr_v8_-%`TId`5MfLxw&G0ZWN@m$W8BhgFE)Vhk4y> zT_q~_GrBE#T{(k6+(!c!oHtVX%NZhui`O?;%VNt?Oe8^|EN&qtS34}$2jj6W(Z9;5=oCOA5{>Jzsn82iJ*bJc5f zcF~a9?Y|kRc_P!3G_)}D3C5?7AR-B4KeWPHpe3v6>ryRo{CW4`{LaYrWl$4h9BN=> z<@K;a?v*M@U1g+BY7gOanW=zem|@jl#^ACR5}f7X z6j8P^kbCgPH|?8*YOGC(O#A~m?8z5=o~2>R;6+DjC@~~a%FU+Jte?L788n88hUJu6}Av5glG^f zch4JwzEK+M`FOB3cqbKn$A)zlZt|+!wVZ}qqNO-+>6T7Yk6hfR>YH}qoB!sG~_8IP)**Be{B#Ch3BSD0xy__KkU z&!`jAMg1xFMj*!e=hQafY-D8W)C`;nIs)8Cg9mag8?GP>j!Qppxp zgShewIQ7&Ibo24zh_X1bUx3)Kwb!|eATLAelN`*y>l2)ZEO;F9epiiT;&BA|Yi6I) zaB20G0(KA^AteSrzAA$M8+?qkW%)k+_UlR7osPdEl2h1j1dtGP4F@D64_qyCh@`@6T3x@Y9hHbSNNO{37z82rim zQmtrFeH^&&T|USK+gup=(?)O&R4#k=UqALa`~5jqax7z&%v1{y)ilW6O6DNpv z5?AD?y{s*Xy)%#Xa*FO-FDMm5GYYt>8I63(M9;#w(olHUQ)l<eo&A07s>@F>lTUCum4QW>)6QFQr7&phmABT*Sa3^-I;S{Z##!OqP!&+Zq zUJKzO#6aAr^9rBv865;yjmEU~ng)wCM+v+JE)-y|c}ygFisy47O^vx-BHcRQ9=Vii*zSGpd&gSsY(R5rh%N5Y z`+@$)bFW$=7boFpRhPYR0P|r3=7R*%Y$)LbjD7RC5v?}1H;8x!vI;u9cvv3`?hn@$ zr$AfOkuqD2jVn#*FH-obr{kAX0-m@FVt*C60G6JQ7md4K6c49x$8D`BQ;c9ZK(Nxg zC*=O_9Hzwc2Awg|C|Ge7!PMpxSg?r;SEusEocyWpJJvH6*pg6H zeW^p%JYi;6#+*e%tHb2~sG-cp-F9a`4dZvj4;|F~qr7x0ClYu%cZh4!r7C0@tcn7_ zjlf7}`RgGbF+@%TGO165<2_dO7uEds4Vj*qyomWVWEHR!LsIcX20mSFq(7 z+T|~}p0Nh;QVuM&ib5@EJU-WLR78sxPtXr=la$`&^tWg(v|;A8m*5gtu*=HX6WmBc z+8Sk&ZIzNO{QPx!slnjR#RI{cF`nJV>$Nvl*`7SdPXb9%lm$&6C*r|BUUtnXX#1(5 z{xN_4+2%vR-P+0K&MdhvDnnG7bY}$Qb%9y0fZ2Eb@1wc@y?-yeY^N(N$M$fDO?bt_ z7pi!#QL7x-i|2<7m1VdjukC5bd8XdoqG1!JcKO>ilKpyAY+L_(P47C zJ$hs2C#3k|s4Dnm_=k-tNeFNQZ&VGmVp}(O z4RP+C45L1f$56z!7vxL6+4osv|AIY-DTb?QWx)6ExzUn|HjIRP`{dG{VHmtF-6@-J zwrJj&F%EW_DcqYtD(=OG4A?G7A1&N2Vsra#_|wwT*q2VZc8o{Y2(ulX@GgF@v5ekQ zgs))^cR|Y{bYe)#s0y|p@cF>f5flOo6hbYj(7)a4>AXpslPoNW(vz&w7*j1)5>tPE z;%>Xvmk{Q)y`ka%%pBbNd1J>t76BgJH$h-^&xxsKYp)&6%NTC$z6f1)R!8VhVpv(Q z7&PXSqEaRaUb*-wwWbEtemD`C@BZ{c`}w3@e_Z<0u4`-Av7Pnv=bS+Qr!ta?NU93q z<9_18_GXj2ol7T5Xe-vpAnculgMtoMQvY$bFjqi&Kk2Ji;@$H_YHR@)6Z!joHI~~D zS_uXvHHh0-JaYQuSVz0-cjiBqFMlDU$AmH88wyi;RkffzT%_-T_7Uic+ZnKP(&NIt zswV|od2+>pL4KQ~W(Y%bVHvNFsMrtGWAPznQ$hn$tRwZ$j}EEd!Wz1RG4;}5Fy7?6 zX1T$ooxVul?Zex3`|Qs(v@5O=1k^eO4pd4>XlKD1Kk7-4s;tUi{yGDW@RQ?+T2-%uGOq`tC`;drZMernAsu6nUD9!) zwm124`ZBVy)-zM+KXsPjH3!D@KlplgU1bJVN>r(E;Q@=KZKqaQ=ziwzBu9Zi={#1ZDV_FMWPE1^#)Ptrr z<*~A8Yz`<3{K>{hnNhEKMNWNk*01y~NM%^p(ad74sQ^l?LhecW7RFXg+(12>$4? z?v(@uTvk$eIvQK-iGGV{*FH4LH9vkZB>{J;)G7bqx(+OPaVv6p_7}`845)$9yL$STAf0#SY1(2Ae zQzkMPeyb~2ooXq+)E_ZKq-u-0YQ;eIe(hIJ5dWqa!MjA z1vAi;(63S#_%JWZxYuuY!`BW}-Md03Vk$!feXU;x>bVPagzlGk%6a6bbtizjN8CcQ zEkZ}hqn~RWFm@N_y>{o-5r?zA+0R(;$o6}}T0z=deh@yQ(>3}L*aL4xvxp?vbkJc- zlldFyt=UelkjT}9?sFeUG%soGk5R1HBRF=L=Bcz00~9DWR90LJS`Py} zp5_L4Gi83RI6R$$m)%m2!gzs8`XvB^^U_Zm4@#GUM}xtQG!O)f$Y;j8NvM#3yC&p7 zGUsNEfvbg}ohi$rGsq6!%^2fE+&?|LKsDHQLB+{)me2Vak+$>c_226gjg%~Iwi|@1 zz1{Xk-aAz#tyuP}v4B4Yyu0@-Yi7G^5k;rg1E%*LYtLG8ID!mhbeO&-fwj9Ei(#>~ z3G(#cu&hK5-L@wAIQ{k;#lsz5U+XqPd(*+CX8J{&*U}%u4d$B2@rTWL=rY*%JqPE6% z?2k5lTFDIxiW6o51X*#dq-Nk#22n?F}nV^D9TqERZjL_i>ue1 zB-AH;%a%RFDJmA^8}g=gqEc?(B?=xSE3hp_m5AcTGF=;}TMo#X{}dgl{NgcdRSduW znKh&Cli6S^oKycp&50R<%qs3$u6PY5X&PUBB?8oJh6e?8jKQNpQG7K2q z5=rQs)Ug5Irz*@JNv+;72M5|srV80P&>sSfWJ3yRVKtj?y{cEu=x*WB9ny)U86Y{7 z{reC7D|sP!*AAO2jnI{DQ4hEfJQ-}6R3v6Y2_jaC0yG3@RKZ6*B%1i279%)mt-hbX zlzs9#+xZkyS%6YjkPo`6XQbDR0* zUmTC10%h}DuU7&{f@re3k{a0bbm5Ie$TTSshM0m^4UE6(D*MOd7b;DN-`ZIZbfREl zN}^}^I|S*{!G7#Zy$UeA4ONDkEX?^jy|Rh&)r$S`7IG#W7?wZt#Em?s83}k5OQ|9D z6x}!2AP^w66#a5FH3Fct;*u4vYw+maIH70COjP_zO>YCrmG=!!tfh$Rw6(7r{+}Mn8rGIF^#sK*+{{IAN0R)-kAuhEi zzZ|&`z`o57?7kvBZg!VLeRlV4VzEsA3hR_$5R|i z;r$F^zfgA}$c&MF|3X9N1vAZh_AxeLj?}A7Gr>}s4`ORUxFKZ-5C-16__7e_J3PqQ z%9Iesb(L|T=6f%-QrYB40POw#q(SJE#p)@22`EcVqMGBBvSLF1E=%nH;ppF~=Zz~$ zH^J2IONui63}1yUI*mKFP>Y?rWT?<#f^^qDmWfd?%}CdN1h-GN0+tcB#yf3ly zez|+mpLSa??o}#98#T6MD3C{_l4Yz{rB7xPtaQuxi(@3s4@tYYIR%z45a6_>i*c64 z3U608MNahU^Db9)#6$3#o%+XIuX|nhcI*~NYbr~<9i{{@#PoK)jBsfm^2q`%b5oVO zic1WknmV|o0VosZyy|#|269QMtB5@53gzFv438N&e>`7U;9Pm_KuW$s6!Z96K5hsz zJciUya~UFt0k-V8gr*g<(wdpzuv$S!K0Gw61FmBG0JE0j8b7rTIh3|!61EllKS50{ z)+5LHQb*9D7B*tCioPL!z{Jq?BZQUxR_!rh_Wim6t8@`P_5}$dcWsM8plktP%{1$; zO&~885wo>(WQw_Hi&v5|6uEeXY6vLX;!&oYJBj0`_sn-%?M=d=_P`acM_CpV1v(ls z_I`1cAFIFEa1}PWIVv3sxc&HrGU1UDD5=_wF`_}vE}OeHR=D5%iMkLkima_mbo}H_ zxo6|aVw43Xy58`OdefrYX546vfrqF6jgTuC6Kt9&{3s7Fia6PkZyc~HOKQXTTPlsB0c;3*T9HnCLQVhL-0K5I}!uKu8O|?gmq5VnPfMpi=LP zHB$4dd&+_Xy6!m%kLC$vJ-@~znJ+M9Lkb5Z>#6R<0o~RAt1qzyuGb-eg#Wo>U4o%) zw0`LTfezV8wIb-7z1rP;er3D%w4H8B9)b?)p>SdAT@+GyXF$i1LZC9LJ@9a$)>IQQ zRirP^&kTOoQpS4+0B_wlrL_6f8n}*c*B@u*&|F-einN#h-ikI+yL*||_70lMb2c_c z0)$3i3>q7nN%~T*Kv1IZL^QDl2uS$XBGZb;RNVH-z)EsC8!9G@ATC45DIj8k<8GoU~Df7ARUU<`&-$ukq?VLbVvzx4YzxF_DIO!GC^Ud`qbbbLq1cR39Y;za^qV z`&BHn{<%jzRUldJescHz@{1F0t3gajy!-)pFCS?|nivYS1+@zG?zVRU@RE2?`{Y6@ zwu(zj^W~-8&)%dS)Uu4dQQP#7Jn(6f!+WjQic>5Ra9vK~!AsM7)dIJa?ZZa$pPy^C zouiI1{Eeh^fTBom11`+($wyheu9O!JlJBx+nM2C%j z*HVXa@ts~Gy(kNbXuY}Q^kvZ~lIU?k7u<|#mNz{5IbeG2fTTw=V~`N7cb6cB3j{kXQuBqu zH*l4e-FCwFSS|J@peFv@!tZFe^~g(A7F>yYZ8k~N%_zgL@mX^2>VdSz^rT=pzji}sNg@>Z*siscx)vNACb!HaEO;4EXXy{?91@?XP zfbl7V)yTuCjG8o$jLVPns3H=$0n-5D`Vx`Zo#n97rY9X8>t&&9&NrH0_T=S763Qle zC^D$>xvV5C2S{E{H~f`zESxB&ZT(Zntbe3R!v43LYBWO^-O`YO`@2|t8l8In)rw05 z<)(oC_X722=vCDdX_(sU7!aMsP~cDtbJdHvaB|sLEV(|T24MT%ky}>UyH=jBs)s*) zN5)gH*qj(z!{)V_qzu#b+};rZoNXKp-F8E?uB=_lB*R}he|FY5uI+OlH_e{&08jFI z#j63MYrZv(JHsJ+16WzGU^xb`bP}!az)Ai#C*=RL=(&278FPM#8ZS!GFhbzbS+GI2 zCBpO9n-NI#0}TLcfK|c-xQ^n^{|jw_`9&a9&{lQodkBbpGTMLZ`EGwWV8&zs?_L_t z@GT5wh{&dUNE308U_-53nui*&RbDF0EPc8cLXI9){f+|GFAA!+bE}m|czrzt?hyqs zJMlE-UV@Nh`*q{J=DF+h`L|!Kg)!3iI6-gaVN6h>|*m<`<*TD_?nku?j9!hMj=0(+P4p4>9E>l+CAqpCcmYls<58pTtH`y#BVZ zO7S);8@Wl=czLE-ys~DTOe^BB4prY|nXJBY33>=c3bIhH(K=aRqk}WKT{$Ryt{-K;% ze}X@*!s%X}4U`-uRv2*mH3c=-@XT*G?OV$f<;Fi9$f}r1*6FFAL~efa$DTV8Cu}gT zsC&fHMIiZr@-9ZTZqUCp2EC2ck)5L$o}(Y|%h{OU;ECxu*nJ{SrLs3xlA*@D&M{x! z#=8E7T7vx%Q{&6AuqJBj;yK|Xa!m8r*qJa>sX!BsWVY9+{*!g+o+q_4zMQZ>2yZrG zg4`hHfA}0gE+mm04J&kee-x}VEwqha8Z!)kVRk<+#uiU;LQHPTM)@?aQ?5XM+Z%Nj zLm}g`Bd`6WU*AskN`bAzM&-uKN428x})fwwc z>DrUpFg*`o9AI{abH6B~a(-r|mNI%SSM%PrD1DK0se2NO{z~cvaV!fFr)>qv5#sFF zmRwN~`LhM{(?&leP~3Y=1U`JmI~6utd|*bB3}SI$s2yo#uppOTP;(c!w|qTkEiC*r z8M>{h?;&uy4yz_15=8S|U3d)a0FFVC7sozeyf<`bsAUsJ1#xyZ-*bHX0o7=6y$o@C z97_e24ta6Y`4@uG9r@w;wA6cqF@|(N58DGx!EWHcHKGUE>|Wn9dbRrbi8OCFSnayI*h&m;Iy^SjRtG)=PzVy-! zOHUe0O2SWnHVFOS`S{1qvfA3(Kj*o>t+c&}Hf4L=+_sBGjZITG@g6~{T_(AnmP(hU z^vTzU__<1+^w;x6g5MY1FwR;7LLNhOb^|x;SP}S4e88K(&#rp{Kk5VwjA)N3Pu}H( zpSf1t(MWJ5%wxG5E@&6oG)gRJ`5Hg-TnuvdaEGKncSgkl-xPowK~W zqIAy-Qt^cXp!JR#w(=`;)E-XD=>Z4u4L}>;%vj!eji`KJqfO#tEI&{?<>NC}x%kh1azSlR zQg8Uj>-zoJ`6ci5DrWrv;__a+VGXf7TvQy2E^v|jFun5@89WU&cLm;IzJ1@|3!zt2 zpLN;5i{EKJ?CNA=l`!uTsj}@@>GR8G?q}L;IgY!SM!9;N0;Ou#f8xpsC=mdn!dG=$ zRf^dH9?L)H#uAi$O#_%zNR=;XT;pqJ+ED~I<=+0?NX%|WX<4H!o9ffNK#ik8Y<}k) z$>N4g_I5D=BrdCDrf>h+7OF*0_#FzEhb|&Q1~GSn`xA{_*?_P3Hebu?OgS0UG&3I5 zk`MrA3K*Fz0POB6^Pmlz7@NuOy8k??<%j{MQFh+D0#LXCsS=O9R93}4wtKEOSKkuN zdCQDhm9Nu;MRv4Edqdgs)oR(G42bWu+x&%~7KrZzn2RWn=-t*y$~;?O_L*4rImoi* z`@J;+;)sHq(RS&GYWldh7^!+}WybsfqVrqPD|tm|h3%7kF55YPinaAKs_s z!doVxhd`lpJOM;hb|u>}b6S2|soEr{ssf^mi)cu<;8nfQV%8LXk*Zy)_B$Ar3as^M z3pH|XMiy9fC;a}MwzG}LFzNG(m!(&62C`c{XpsQ_#ufUqA%v&Gkrf1%3KbIj-#Ap6 znKQ3^GM9o2orpmtGziEu_G9XpkrKchR30I*00uDZ1Y%Uxxn|IRuHmtkOPfkzpcZm4 ziEmC=t1E1>HtGrTd@~|c#>=P>+(F_SvGd8B!CqJEbHD%?jN6?kBzt{bAMZp>#S#N9Or*?{&+3< z^1EI~$fr-AT<=Vdt{Ldb`OuK8W^>?4JZNKT*W7?>rZ{Ce zd7s@*Rx(8NC}-vG;nNw95ltrbnN1*Hh2h!F z4N)SmQ7h*9mMBE+PkAHfah{u2LFY1gD|uR!;fAuXD(mtg5*Tg#2fWoc`S8`m=*}wdk_gLY}VuPoH+5XhXQuo~} z(d$5F-7iy_Tb^(Mc;!Y^lQ}L7v(i?hOf#Do1b73bC9b<(9n`8 z8eH90TbI@mm#R_p--`+#jh|n*Uap9pp1UK$(JOu4F=PB?ElD|FH^CX> z8XhCah+|Z~d^oZMM}XHJ-lrm_vo5O4^dac7`G=BS*UPT4KwM|8_{rCae%F?!8SRe^ z4i+kkTrm`39vQ4$hT1f>>w!MsB*%AG_XLq$Mp@jm{cz@s5J)Cj%@jU9#+~amFdNTi zrjkQ_7HZ_P<-u9ZAqkj3^!|crTN%}Pf}cJ^t%tzDRzA78xdgAj#1X6JwIAHSHXecbB50D5IZ?Dy(*X$PJ0G&%dDF&~;Tibs`a5^99 zq?a;4usBZNa-invm-{$f%3TaG7ISRKXtY$P3!IxN;Co|F1l#&tQUdnP1&RYl326*i z@=pD7n8fzFTQ#rmTknrcAx0QFPu5fYW*NZ)duDA8+xD2#vaE}Q2RMur(F`sH@`C0y)>Tw+EK)l z4wxVdtKkP;&|eh^jR@qCg76Jwc)GnzvN#>=)tq?;L+Pvk?n4vW5L?b)@~)Xe8POX|-z)Ur3xwyQo%gS1za-D-Ks%#xj!YjJWkA%&_6f!)bV6 z?~55f3NqETbXm~G_X+j}pOuvu%>83~?SEi8yiXJOedYrX_ZYD5E|wFPZ`TDf#Ko_P zQRL~K3fB5O#UFlQTdIkU9sA=h^zZSCdKqirLke4H_nPIyo!i@L5vmvWEcgEtl$+C{ z9&uxvxvb)>?+zD3uY0x+d<@0i!g*$q$Qt|YMvc5eT~O58uakm_Oeh+{R0}T}>`4eT ze|0Sns{CFcF7jA#XDpx%XXM8zu@Q?s>U2$9%{Zt4NXLA=X%qtet z1iMM5^d1JS&Q`j0AEU*cRiTpBo1U_!pG@fhigNGrlll8hofUrYdBw{c;Rw<77q*d7 z0XYzWMQDT;B_Cui7LUkSXslWoVuz;wi!OQ0_KBUR4qV9=K1PjScghkn*VK8_Ga{5@ zju_VEw#i-Ef+MMX(7vwBariiW+2r=SSbjj1?JaIgmzB|G8ro-BHc&iNt z2;qWC^8(0HQ&Yd(?6(q9(BKa{-o2nfDVN2bLKN3Vs#15T4x8n5U6LIMFvk|f*2 zddOA>0++38eQo}qUxU4}+oEdppHk!+ITx)#Jwe8P1TETTyjco(KT&`~qjRRW*83&2 z4Y-Cwp$g3z%s&}1WRk^-F)d36_Q4Q$>0&EVzJMMT8)Z>5=XiNF8i*6Q>gX|emHO^*@8B*9 zol7PK&!!I9^Vbz+J+Hv;Mb9N9IEAFJekxxqaslTa`i%O0!`4&hi zV{pyvlJ7$_df==iv52BItk7T>Ay9-6&gW)g@dyN=lTBDERZ^2^|EU)5vp;qMj>7km z8BU;iC8JKSp8=Zr!SO8cU5l9I(lDoWCCN`N84m(>?+tk;w~K5lZ4okmxv8_5weYGc zL5p^=W(ZmLVdzOj3I>Tbv6RCQ=|u|1D_K1$9ny%!z9dh{sk8lDo>id@1KKyN;*lXl z%Mr|SBgy-A3xi=9uh_@^1*RSBgCOqm%j)Suy8(Sumnv~jIHCjoS)`Bl4!Z(J`!gHg zjSuNiWw9l8+Dy6o+YNEchx@zGAA@NSzq_pEZs6*lZ>q?kCx6HZZQZ{Y8_5bh?}++o z-&>d<7GuUaa6teTz82K%)J>KRyuqu51W}wy<6J|L+Y9m}Qm7xE2Sn_uPh$R09%6;8 zo%pB1<_Ygl;ouB57708ObJpW?*KuK$Gg_mVmCewf8c7qevm9N_mN2A)>T;2C(|MlY z#5ISlc=Jus6H{cPy>iWkvo!C=c+le`ixdBRZ$cr-ZMx8I_yV=Gk?i}9oy1~1waRlE zIm>|veinh_%Mlc$_H%T~EP@43d4iqm%-T<5-s{C>PC{-hDh4lH1p`G?H~yI^0f+Bb zCp*z|ovDZAoV}lir_;17PCg9x1j8?M%ZWNKdpW*MFTS2EJ*tTlIHr1n&+rQf^sty? zIr<>*LT%v9rhhM(N(mC)|ANS-8@sO@f#m+S^;;T`7VUvQ!7!0ws35O#Oc_Sp+{Y@VSr(T`NSXXm=7BUZgE=xB;8om9Xh8^@D2tzYyE|C6qmA)Q zQn$APf1{ep3rke>AYSw}1`m1> zz~l?~Y-CR(hfc(Tr(kSjleh389VVBH6&kOS3RJ&?9v3(_-4{b*R^<->?IqexX2VIm zIVW3tddCXhN20Ysx8fWLn#$mUa{HccIxWT2|49hnv#d@j+zmk;^Vwzb@^!#FJ(IE= zir{J>2xsdgbj8su4sX9d&`7DdV@k}fL$M|ghzET)bSrxy6z9?${`7sSs(4X6d0@;^M5KDXKo%1PIP1VhUD1_U6)4bAjS1 zwPc!~rZ^$~_|z*Wr(Q6&gqr@-p0Bd=DD9tOFJ_*RCw@qc8;RE-T54$#q7ZUN1DDX1 zUt7uWCa0{GG6*4MGXB5D63Wj*S8Be_buiiZf-4YaEL`pjE;b z0{mj=Xkh>@w-Dj<&t0tkJz>?*65Q*?MC@+is#_cpmrp= znx~o6h3Vt&rl|E8{A3G?y;i`q!x}%jf8?~*?G`)A?^hE}2$BnHqeZriW%S|ESAl-A+iHlK$`qEJ1uFA>M!7`nM5 zJ2r#p;^Nd35VIybnTt9;;|gbR;u5^1g^}|S4mOWgK|>f)76I7|g=~_GL=-v+2#wwn zIp2)CiV8?pVFQvBD-U#FA*V|@421M$Jhs>7D;)X?{r2E}WQs?$IY977fdd_d&xOxb z2Y046?BjeYgP43Q7QMVEu{B4*8+-OBx^tK|J>?dcfJU-99hWsx&x=j>^UQ%{r|M%+ zDJ38E65>S?M|YC17$^#qd9Y~gXyp$CAho@{%+~etQ7gC_d%(JXAlN&)d0C-pnWg$4 zqwL6nOx!*Gr2X5H9qR%9_}ZuPa!jL2{p#nE@A2^C9Dl>Wqi}M1eC`n987`+}l*_>Z?%Lz8jLNyJX_fe9TWh>s=eoR4TeZZt(fh>s(_ z`~1%%K7@R1J$icD=q#^wZ9!km5n|{7gpUH6pf>AhR%)=R0AKtDrj7|(2s6(`(0uQ* z#+cH-nz4iedLxD)tf}dVe-7%3-7;m z?d_7^6o5Z1P2^B83sf;=U3Si^?-R+x#yQP5Cph_oCt$*+-B#kCP1kUggQk6kacWM6@Roo}KuoYu4X zT(Ki;n1HH#`Kqa2djr6eUu8M^%#1}H?6H`-=#_abWazNKjlw2CP9~>taDglLqt6tc{U!W+*tx7U7u*yuDee_OI zHbSmnb4hdW%SC zGnaHe)h(N*(zC$s>Kiy5y#r{H|GQfzXF03H)zM)yAgO*ziA@SB^T$Rm|CCRLmuXA; z`|q7PIVZOT^{$lWf4&u-O8xSVy>9NCuRiF-^==hdAk{Vy;>~QLoHMUIrhK)b1?Y$!w|(+@5UVNp!Qj<8>gUh0=}{CMb_dw zXIrz^b5#|NA@@cQn_2q>o2gPKsK)n5zN{*9fY)*e@8m8*#HB ztDsM0u0)-MTJL}JB{FrATJs?pPA2ku5IL#GkDoh2v7J4>l_CV)6QQ87erzzAiI5UO zl~5&-taC1nzPE!jpss>rY^`}Cj{^{1vtWjyj>{&CtKp3wn994Tq3ca_7na9RR8lI0y7LV>Rg!ndh#Sc`ik?WW(SY9z4((%cGg4}Ff9Uah5^1dp`- zup0ka_|s7iUIu0YTC#Vhe%snAF{FKt>M^ADtH|%>h~*CZ8fWX$hZuJ_jKLohlCV^v z=8ndTiJkRGzFQoWDM$Nq9wnxJl1&f~SL903*kgLYilY(zBi^{e8Epd)G4O zh}%Zz@<<0K0%Px(6-j}X%5D)!Y9Gmk*`IQi~tUsp9$|PyQ6{LG~HHV zat3d92C(WqS-nCvevVPOgC#cXQP=;EtG57)@?GA?m+nToQCb>FK?DKGm6k5)r5hHc z8w5mJO1f)lkX)3OZjkQo`oDb6Ip1@B|M$9xi`adid1vOCx$k*qN_yP{eGohyg!$fu zma0>ujo*Cw!7B+AS+qx(Fv)$8`|uIr7V!gO6quFCO#>^@-0PdAUb~6-;!F#&2D$e? zCk+W+ywP7mEY(wu-{J;DiwoZ6;F$|(`~LI}mbQ!Dn=f5lYTrS0TQ3m5ejAMRtns~! zffSaA@|8oGcjg=T_-Y)tpJ~Nn({s;d6Uu@hW0#bus#cIhuOBs)_@!+c6$F_ zc(Qbfn;lj8Rr?KtUU|)gG6|v6vs!oJTS&<@e=uw(qHq07nEsNQtmBEt; zABSLcOYHipqS6LFSqNFWIlw!fs8}L$URt`pp|`y~S}26ziJj;^tx6$kG@bG?)s@l# zSPOi9an*74XPY&ZFmQ(RWWv6CJvp~(yT=0f*aUJ~r(IH+`9rj&W5MlT@n`tR%Wl|b*&F``@F6&HX<@V&cer|q1)eDnu~0JPk7 zN{34G+m*1Zfm3ayRWfO5GNb<5n&wC`Fhn#DrU}OG7%bLJ8T5Pm0#D2w@O?lWYn~== znhtwBUNcKRE{di+x?!gcmAS*J#(AmuGzuiOXRnQaZ?_TCX3{WlLLs7H-y0B8Dm3JF zUQwE#s8J6pRO^Sw*|uj&0GX?AOZptvYqxv*_|yBaMYtHk)p%#h!pTah$C=W-of+1< z$}ae|a|JW2XCt`lnY2@UNTz4F@}msP0#$^|V^ifSE>9)PKui+TVHpI6xQ#WS|>Eh&uS zpB!P9M@k(~3wYE>IRw{beJ|ufZ* z(%gNu6292(F6h-XtlaoDBOw$e@|$#v{iVnJbmM(jrE7n&=DUnu)^AO-e1#RS1A#Bb zyR9^MPp$zy0F+@6dk)O-^B8bmt@-i8r02K5*n{&sXEnyuvgobts@&!|+*V~g=W3Lc znHiRsukqe9jfKT_OiYEQ@-Z9l?gR}^V!V$>og3INTU*=6^)Wz+fBB6d)^+0yqgFd@ zWDF7t-<8zyLanZLaxmyYB*RWW2n7bR*8}~?k{_p99IuXmoiV)kIV;7_wl}%wD~q$0 z>sTf7T@QvS69BDQhdE`a8T_YH><&67R_n4a>3qnE-r@FR3;Hj;@=rH-iTGB;$N*RA z7*!9}M7aAcQSmly@}I{zrt#iNcuzmW(#i@ElrG|k4S@jNFS#h@%`b-_0A(52519VX z$;&13l-0ewK3UyAsF-s_dE2) zZxm7=T6Va<-wXT!DL^OliIVPeH3*seD10mHj!3kTfesaIT;5js9dfo@-!M^0xS^N5 z9JI87$f(9+q0|UIGM@sY5iLB6nCM zq?(B#FNb%2BqKx)_e;LBV!EI%`ME+w3RszJ>^LrN29RG4ip3{~p8c<5PRyS_z#jZFT@aJxJN0aiXqm2K9&f zgn*7dOfIQ-2btW0IT}Z7(3j^J=dJ=EQ0B0ptxw8FVN;P!_4prjPkW7l$HDu(rDoC6 z!S$WMl5#xY@20Enk;cCZhY$N4xN#UXG5kGMHHE(Pyy{Oyq~j%wLh$XyxUG$T0JXTHNF)T6v$~TBDlTW3jic;Fg#uU0$AhA zXEQS`?XrP151M)490pZ>-UG@m=CMg4G2Z_(5_)~}?EqQ! zN#9oElB_oPpSnZ>P9Em9k810Cp4YLyAPQT#p|nT9m-n4kyB{@5(+>J*0;A)Fv9nPH@~MIStKLf76X%MB&4Ulbmz3(y#f0xNf$QX@3;zKquXaJY@F}R-EikQNkv3w zM{IGFB44~GH1OQ^)B_40uBLk_yZ#D0?xFi0FUO8fZBpqKXqND_I}yakD{eW9H~{u5 zcHUi)ty;u%HvJT{9Tc*d#}fw=CqAp>0_zQ=0JM1GS{{=K@>7oSbmdqXPo$pGN3iu( zBZGjI68z(^qG2!+{xdBdgwHvDdDk|cJ!czF)-2VFg zJ>c{61Y!EB`=dpBMN2;|L)wQ+!PuY|-5h!?*qL_&n~sZjC|?33siqC1B_wX2&+4Qh zfDYSl-PI3gV*i}%MfIv&L?oPnwY1oRiZ zEsqCFUGXM>K3IIeg8+P|ask|x_VIc7)wHYJd!^8_5~M?WPpmXUsMUamAFy_xbOWx` zrsmPvIjn-INZbOx($~zw2@cW=J^IGAw|BhpjrtisH@B8&jN!izL7y+6Z%^hqfB72cKi>IPZ)_W^sT;}BYQW9;8;)jha1b_W z$<51+k6~;~Mo!%ApeW(aA&k_lf}X^y&boGW&gZ^#Q9V(IbLF=A{>Sjp=*49rsXKA#Rn zmc>0FLQX(LlHxYKK92q3!yGJMQ@(vvv69IIEhWs~JYY_xm zTQ`&9An20#De@8ug;M`M%VXhW`N6b}86nPX||&fh;L?2gS?4m+V@l8`|2dpufjgNs%D z^;Asd%^lpw6T4f3NQ7yhE@(mQ`Uju+_HCDg|MqpXmK~@uIm3cY2F&?RoNFN2$!VUq zHw=QzSi-V+Z!5Th%Ny{o8)xL2-2lOH%|*9=^z|*z+TYs?c&}yw(^2XCvHe9p50)C% zH0CGBM=S-@wYhGrI8AD z4*&8jVuTJ~fbp5J?fpK87MG+!w}po}#=y;=HMjF(2ZH^7qrM0TdSfz?nVESwNccd@ zd)q{ED$N0Zb10d60;M`3e395B&qAE2rt51Kcuo%t{v2E^wLe~pV)m@9n`6y>OtJDf zbZ@tI&6F_>%+l8>uAy|kS>s8U@Wx~%9io#EMDuK%DJ*2MuWw6R-$0iVp`rN>iAj{t z1GBvbYv$WKV`B)j^Rtv#2Ng6En=p@N-9Q<0V#YKyR))PVmQQnKjd{~_saFfsJNpN5 zzHOL)otVt|(KKtPST`CbaWEf#lh4%BXoNt_$qBvi+ypX+T?dwsS#w_9%6m&p-}BgL z7S0kv+h&5W#`1RKG(-su^$9kts{t&NwLZ@$y)tXf2+;Br9h|yY-ZW_b9R4 zk9cu!i4*OtIphD)CwxK@1c`PKF^NtR_|G#^ll>iy0G?H5Wk+eNKm&dKj4X&1EGs`h ze$#668?p1_b-wGjtKfgk^=Ayl_zRP0g?C$w`3YkLbc*MJku{)3F9I4DWA7tb-Quh*<7gpf8FMq#aVDJ9dU?9l!KeYf=Z|b}L+d$eCE4*Q!C{Bq=-j=+RhOxmT3f^>H`$Hv^<2I{(5 zN>AaBFgLR`{CU^mYTS&w*a#ZyTffN(1EVmz+n7v>7$D;f9q9nf|FD? zwmQQK@!k&&!woMF>ae;Sewk^LQAS!6D0ZZ0OX)(D4g3zM9-ObZFAN(4debPchBG>IcPO1~1gnYiN&P|X8%SH6RM){%MAt7>Z zUQ=z!IU8+9e3dBQWH-MK=Jshl+CEkOA1CG@ds|V;T{~-Nu;{F?tFEQ7IJ$n1gm^sQ z%vC44v9bJK1sx~yXRvdDEd(zSlil~GdI3$-yawabjcNn?*DwA0`!M^ZY6JW*j1klo z(uzk~V0R&if>;*X*MI*~i7wd;gQ3oRBo7OVs-jHGObSe;xLp@1bX9F+*8BPZgJm~i z_*xIuN=XYQbC8tIx6^*At8<$>h>V3Fl5p7xj#t~BSxVdRd#s1jRzCiI)&bkA=DqW{ z;4sMGE0DErSM&2-MhG!E_?gl#d^G{5ba>EdTY#mQn%-yt0|-cz?U?*?ta67IL;tJExxWE1vMB&?EcrAYHo^ z4v06#GgBgqh;6)H<>Y@kxm$Am0IALuTKwrEqQB*K2LW!H<`g@-yU700y)uk$htob5 z!S!91whg)cw`j;FJt~F=`PNNLcH`Q%I_IH zDtOOYTA};Gva+TE0>nPa5ukEgeVDc<{Mbnf3G}ZX=vy}SxGsU@Qu{+y|(Ey z8w!A5gxa^a-&Z2L<=4^l}OdJ zM4_Yq+&$e`u~o)p+XR$LF4|#qtioe2-jvHloC~^3d|^>K^U_r*NxMS5TstEWW+@I z=)XB{^@RK=Y_uwNoCfQg1j3L&@R;YFQ&V_(c_NDGVy%YIWh4-v`7nIx@rIKPdmRMQ zccd48JYy6)o5l=!C!I560*p~25x+fSw4Jlf*p}rWVKn~Z5~YxAG8YT9BHt5a=cC@9 zDyQRMAY_O`zxHgD6G;uLDTqg2rJ#%sfW6`-TV+!01t2L1RQFY>r1}{co0Q1L}hgA6jYh^C|nMbOuQF=G>5nTTUEGl2|!eI`XhC6qpCw-OXbs-jApK z*9|Z*q#a|ZRl1JF28f4CM~s>>yLcHAF)8;%&73~1@8!UUFPV`OOFqVwjP9;o`jH1c zi3+R@Zs&h8p5Ym79ci_S!KAl5%X;MkT1U`8VY(~KO zu`hBz08!!o+8myx;e&?b-uxl-xV@Sc=T}JPr;a?-kD;D>HGN65ViKWm~uaj6V zPnAm4Cu{C70YUb8NT;Cc$g?h>ed-oT5ekYMluc_2_hp((N%q4-nW3z)agudzTV7=? zBCT&TX$g$l-t{&TZ^(?!927xC7!j6?uctJKf5vQN6{Jlz7Uj=Z8llxhhhW zWY{W+vvyH(Ye7eSmK+~pR26N6XUA17rUt zPAvv#dYgLP&(2bGsJ{Q~3QN{9xW%FI-Vv6T?m@pm(>~mtIVJf!A-LF^T!pdVDu`{# ziD}rtV#k59!r=Tinbrc>FtX!!tee}w73KFh6D)~ema1!MKAkMW9^X6s1z&YwBADA=SI9rS(G2m7X+%Ke(gK%6Zk zztAxG)hop#XZE50rs(`(1L@ABZ@cUVWO&$oTa3KrERkt^eNYthnRJ)FWLLS}eylx1 zko>u}0bS$}F()&)U0VA4vn`|Vx1v;dIa#@#-O(5_9lsc%^PvuQqC7-vsx14PZhdG- zoi7x0bk|?e1(yvxt7T^yOM1(e*r}E$qwVpPPVr9))NTAKT#Y{Qmz~5BNk1)AXQb`i z5uwySQ_H{`tAl<82-9Uh7>fhi&7C&r;OOT6yPq-_9t9sKcg|L=6F2=C7%LY1a~b^n zU;zR8k=5G9+BS(=1jxu1YOpbb301^z5&x7gBsT)CdTzfTt`$i7xCxL2y>#cDAHQxz zd{_eG0cz6Onak~bfe5(x>_0~M^KC0tcax4b#BH53+};O)R;rCkN(R`;`iRPFXeKel6Za z%AUK({mBloO|Ox{weB1y4nz&z8L|WdVtU-Ly1WFyg>7)AEV9=Tx`t|H*5U;$L;<4( z{(a?0uBB`mSi3i?v-QliKlVc|Px}RZ=T>&HBg5Wm2c085mPYY=6pp)PN6$^THt!3n zv3&K|XiORz9}l{lw-st`s1+GgvbdP}&`;wrZa0$?bG6{jF3PXWnY0?m{JpO3)TzeU z+BzVu8Bx3~6&KndX!RQ#NIsEJrG(jj_v^Io5e?s!N}U5X&e7&BOtREWmG?qqTwRNv zUre>K;-m9nXKACmtEFFH${+jWtk?YA3;+1i$=P%oOwuII!{NHb6qA8_pN%h52Hs^| z*~$LJ*`sDt%!y&6X1sH=>l&^en-X(J3y1ev$Evu~pGSFMFA>R&d@Ec17Q+X>U&+1@AN>pvbaz7nOP%BlWLq+(xI9r&W?I@nYv( z_$}DMGKs6CiAH&cQ@oAh>dLwa;ujcQ@Q5zyEmzt3&yD7P?f(G&K)+=Jd7l^4JFs z18i;88aJd{$3oT?hy#Dsz=8bt)pAT|hZhI_|Jhfoa6v2( zfvKi(FhyL^oUdD1*=_ERf`V>q48H5-Aj1Z_U)!T^h)H=Q=1I@o@XOBEYO-&i6Rt2T z6f9>v+6K;;R7JD0l>NLl-0!xqe~nOK+Ot)R3ag~7s3_`49V_4wqXXpz24p!n zR=uv@Q&fVSi~OyfJ>Y5~?Xl$dc|gXe-is8>Z0jchOnLL0Qcr#$sl$bQxzQesk@d=M z^L@+R2#4&~+1!T{31A(l4lJmkjU~}8PU3`2{h+h{k7Oden78%RRm}tGJ!5on@~CTv zBa!U}9pC}Fp8rSwNUQ=xw+O?$^xt|20b&kF5eF@|>Ng+V*9>=R zFcJA|H6P!3ww!d~$)RI)-K})-SZsl#FmPpj-=VaLxb00Ybm=p7C4c!s(@s5Jqi06g za($-n;WR4UalE{_?mtD78Tst6^lfX^uSt6t|Em4ce%JVD92qr{SQa9|D1D&da{==| za#uIrxj*C@x^@1>gxu3T@rkh?1%huS`_%baT?oR+ekdr}O zoNXbuw_l8^NQgf=>&`HLt<_v8<2dS>ZyP{&T_>A!qa0CDa{H)uM)d2qDkIWf97e2Kyci zBH}?~bD6RK>rY|QV4DR+x}9fR-!NxqOx^8X?@*(KwSD5d@sj@y2^pN|5~@(kcZ`I> zdw@WUWkhf}^!~cANRS5@Ug!2Lh9Y?T!w0u}3n%B}{yLlECt>k3BGt(-8hn3E3E-LU zK8J=v^Z*d*DRAiL0IFv_zX|Glms6{I`|GW@V$a8RavvbcBKREC(eejX12tBo2 z_O`lK#Kx+T2>Ej&f4up4AgM3K`1pVgA}m6#AzAQ6O>U^_!pGl(FZoe?`F}-}WgbZ` zT+kj$|JYJC{0F;K82q_k_@YJ_pFk-xqO;<#39Cw{YypOvfPq%7-{q&0{&VSKzY9Q9 zdg|ii-7Ysb_M&pPx8;V0WfQ_{)NxQHDFl3vx2XDl5H>?3_QZqBLe;3i&(4F$v6wn$ z-c24Pdn#C*Df39braM*-S>Bv%H~udm0#Jg&+G?!`Den!l+N%597z`~eyX(DAvMTsb zkgOT1Py2!}Ja!M7dHkliS?u_T2KLR85?7+ncaNL*=Z;-f37z`;uUq)g#kei7^J8La zckM0tR~ESH8DCcf!8<_s6y!mD*~Sn%t=mFw-<>Uk(y&5rXv0qB@}}m+sKm|~CKlEl zq#p2AIi;ng6A&628V6U`{Sg;!adGi4a?fE^)^!v^LqqBEk^hO4!?tiWNSGK8=XJV= zpeWHyyP;n!$~8>p9I0tisL_kM!#7RB<(B=cObPNvm*IRC4jha~o~THe>}=qr@$nrG zARpr9;tKNeq%UZp(sC7euU>ox{I+qbh| z>Gj7(MFId2W8M_76LhvIA_8-KVq&Iup2DjUm`>8X4+92gFiJ?YPe9t*+Q4k07t*8@ z6qrTo)|4d^)+qj|X;Qq(%E}{_{D39FmZKG!fHv=fnNMSg|9$Cv_|k+T;df5GCs9y; z4iQ%k+Ir)zNHv647~Z#7m_-+biTPGl29=ZK*-EN1nv_1Zi-tykBaM@A%fbQ=K)o;` zA;sx|KMNG7tp1!R3BZq5=a9*gpO_O2Y+_;34)o6N!MO2JKcH^A+dGyz+KXpx_^NMK zKM2+cEuKYfSTx_J-nq>mQu-NdXeVQu`^#<)h}ea*7;+Z7z>0WQDJgkPO*%(N^XN^) zq@=mU#h6M;N`1e7BZ9VEMAR3~81iznlSD@|rW~E+WB?d~g995t94Mku@OO^eH$!h+qh5g&b7^1vmhri!Yfr@tCr>6-RCXXAYK zti!g-XuI$Ond^NG)z0n43+%4sZ2AE4ss`uSg~!WovE~#LoxY4b{qpFWn9oKMVmCFn z#Wd#ER8W$1j-~IiNnzs3v z*)9~5Ds;PY)rMbX3WV2%_UYW$Gybfcmz;)-4;9PQ z)RCSmwgwnNGy1s`tSGv(v-2elXi3)jmY9TuK~$9TU3zczB_jCGXz60R;pEWT_TinMD8Fj}@W`yrQVG+P`$W2Y@(< za)XH#aMX-#XWlrLkmnr>3}S#K<@qs9GHxhpKk~-=e*E^i3G=*!ROCRXNP43t0;rN7 zY3Z!lr7;H`UhB^@3> z;QRH9UEh)WRG+8_Ia$&wG7%xxN-prixONWD6HE)A@rvnK41)R^8+b-fI`$$?r!d5awSp$i&d8=y}EAd(tRPD zm5B%})`LwSe{Jc8_uccg1E#>{G;9z)c`v4e%jZEA}2$+AyZPJb2-P1$Q%S#CC<34)-*}IxL zLh6<}%&eip2gScJ_oiV8?BBhwVYk9g4zz@qhdU##ZsxXz<0&^5gRPV+aicIdIhOW1 ziDVos4WpS_kWbr7G!VDQZ=_Ml1Kje6r&lfXBOA{qOZXK8jHX&y`;{Q%vV|W*D`8jv zJU;Yo$Qub1pVs-TW4CwGVVM5Dn8??x%bTlhUT#-dQc_n}Z+k@$EB3&#cH%E;>ZIaz!^|bpguG*VkeVfFZcM$#%RJ9F zgXb^q^kDZ?pGDyMGYhAO3>(!JI5d+mIUc_iRokm$UEQTR_M(PlCmK_@inS|k z3i;HR#JG@wD4T$Xn;Vh6xmFxtw+8UYWHAUyHSd^+7_9E}HNe*Q4fp$ZfN`Zf$@TQ~ zvd)fzDthsZ2}T{A`3hokJHh5Qc;qCJAP7D{Q1ty8l1^zuZu-jrU^4(j`<9X{ zpfEW*;NEou2Gcv3+&w>1HyvmQavQct8Dv`9T&H6eB?>v=9iJTk`Rf_r@qRocBZVwY*{P}eg;JcQkf1)K3OK^yZle6>j`IO=6YOF+vasd(u@P}k1 z+ri7A7ri~#j11Djh4{}b0=Cg~%)eU2X{iG(BwQOD8j-d5`s2LHi0jUArmIZRVyJ`z zB1yUaHg0~G($k}&)%}n8Ds!hP1sq|4y0NKaGTV+6_7>`%O=u)e!BeV?_uU~OCNWgA zvG#3u#Hdn@S?$Huh(H&SDImZ(nz%AOsr{Hi;avmJWJBLYV)k{XR)6Oa6O%s6X($BQ z*&Q5R9KW;Fe%`B+9)RM`_0Gt_vSc${)9+N6GhOtPP5VuId$2Y~@9ad$6aTWdY0e0+ z6M(G&RVh7Rj2SD9R$2jGBL?yn#sZ zszeJtBhW0@!$|mr9IhQSO-36B;Jc{;vIL#c{cDY&(#KR{c>4m5M+dUKpR`ZQHo?IDAF8%dRV&o7b1gKi0r2`1; z0m<7PxNr1m!_N!XN%B&{)iu0(7XWk}mym%0vb43`JDaAQQ=D!w#+mfFd@+>y`o*-S zu5KWJW3QQ6{Jp9Q>>K>mc_N$HaYVqlzr(@FhOc)CY%~oH7sPG%H%pe5mX+s}(K2Q~ z4ByGzXgpP10QC_Z4c_mQcH7UrpaKtWN%nCmjyNUl*N6ZQ_f|>CwPXr-^Khc~po0D{3zP)gZ-Uh^OI$Z0bl2{r*};TRS1Yh*t#xV@4MWt*Spoer-<=GWt~=ikzLy3uV37n~i{f_ZhO2c+#VZt6W$mW3%Cymw?rNR@{i%qVLKAd*n1UfKWVzVLSj=d3Bf2ZhSM)2=L&|>VC2s8k)-z zk9X{oW!Ewzhbu(^^6MzMRS1Cn^7D@)fdB=LKC{tU=5X$X_S4$CFX=ayiPg*hZx=@Kuo+da(1e8zpcUX4W4 zDIhR0-R7B*Wk1jmj^5OE2JZY}^|W|tEwi~cAk1hu?11kf66L~~jDi!0aG4K!;-qeE z?*XtKp!0bFAbWoPSq9CV>Sp`HF{vb-xyK%h*wIKrSQHIn%}fy1rt<3Tqi;-3rw{1o z!|OSRlPdznOyP=!TRO&jwsC{Sr$o_#XNJ%V9>77`u5#vomvz%b4Z)4v zce&4~GTrq8m~WjCK`}St4bBEM-v=GQsnKyUV|lyT*9CvHwy`;?h5DTY77Lp`~t83UbaIQUI7FxBl~Kq0P)zb8`0wGYQ)UP{w8T3EQk@ef$zCi zGLN@Er2YK-932A-e%t;S4e3oz-%~8T`Kxw!fkzATrp{;umhaNld%AgjO@sh?#dM-g z$FTFBuQ#~9844KKQ-<)k8zE|fpAM^fO zd4RG|#1BINHR{En(RxyNyF-YAf`Onm(y;X&{z~c%bQ?xUa4uU>p$i}Wjt)AykrgB9 z+Zj1n6(b4r`pNY@dG_E!k~E@m=Ai527y0gFK>_S49`O;6=HqZn5U=_xx^-(-LX|b6 zg`tudPM~7{pQ~_*m7|YnzzGqQ3s?L+I!&j|`D@q^>)#ayHy4Ks2tYo_?~BmtbnsG; zSz*M@-5uU>-wYI`rT|fWPx7ESu$9zPMqps$1{cUf>bdLWwCC`z^}jE28tyUqBkob7-zCy|xIi4i(_n{V$Sv=+RA0@A1iVWWqEts;0wL6ybOEw9?WGcHmGGhPpRi2w!xygEc5QO_r)`qsUicN4o^jalxHS zaO#IPyD!ah*RqAQ+-WaaIEo}CpCrT{=Tt|$$+i0>PR*E-Xc>k0n{Z_xLZ>A^13Np` zQ!Y3#@RaWWX+(8(=~DNfZI{C0Vkd`0X@0V&1O-UbfROHAsDiJrFBz{HdS@q4NJWC0 zr~0dX^+|lK(hPRDu38Dd{zN8%-HR(Ky1qr*?A@q5r|u2^(M3HA?{!^TZCj6(O*XsQ;KF6_7dvL$#>78Y%;6#G{K*}@r?lnIIHBHKPPoFE^t6sI=Ij18H1DTp3)5*O& zEFo0B_)y-^K(;xQ(Uqr=z{p5IN*W3@=VV}F zLInnw%c!dpKl(nk%?7Z3&$)tBYsvwLU2fY;fpxKR{YDSj+lH@RG)1hNJa%_K+~7by zEZQ;*>-F;VWIW7&@s%Mb#Ar1BR`kr5&a1D|t)BfW4R!gUn~1ZnZmwz(3Ph@rCOTRM zaKUAZni)e6X}|nCvLOfUqW0|PVl{c>T29tr_xp6q+#>R&!(rK=NgSSz2!vbTY1#b^ zfT}?TKn+np@@Vs)4>7pr`XVF&p8t|)>rsh?2M4}ut|WCt3L#eaI}kG`0_h)rpVwbL zqK}X3Inoki`37LMDIiOv z#@4`L;TxBGf=bHATWp zi^HYZg=Tj~Vd0rk;LJxI`|H=#+uPgP?Y^&TbzW`^Wkd#JkuuQJBj}WU^Q(Uf_r1a* z73Vi#z4;pkr9n+&y>&|%ZTO6Fa@nfh3m2}gzm({)Yi6RNZGbrsEcs2v)eHO7)Vx=rzio@-1 zf+q7ej;p0DuM{9~S0zROssR%AckdDjX08)iCZ}?;8ZfVW1l*EZh0%#h5pt0Hlj+`+ zAzyL3d>^&!9?g}FOHK|`N_$mD9^&Zi9QZansJ&eRaI0%h!eXyqd+rf^h%G5EmvpUj zZG-{2F#u<0mnt?W8vtEr+irH)pK@h|ZyX(W*QY$t8<&Qri@VzWf1L1rMq4fN?d1Xf zSx*dAGz!*X>;CRG*W)Q3@w1J&S>P9+f!_nE9mHVLa_?%76%tJ?Y)$p5Oc!EPVAveA zSBf1J@(#WH@}!3t2%#tp7R8T_z#VgN(u9J+ox~U4XG_|1dtWH}M@CZN;GDzSfR}a; z3JRH9fCH69D!@aGq&Go0JbsP z#02_WUP=P8?I4xXKuS#==;JDv2^NFJKt+9_T8jf?%fxN02KuTBO zw0_+dnb43`cT+c+#HCPcnW#w^IyiqJh6kwW=ePP#R#r3HKa(>myL zdb;h?|L#n%_YDobRd#y?FcT0{02QuuT9h zT^apUHgdO}xiEv1BX0G}%wyK%RB#sNM5v3JY`_^ zGKtj?5KiK`o8|tMe>QY&71sclER{Pg0GF=KH={v>>*p;e|2yq=^BPV!5$P` zf(=5ED*!-NFOM51hs>oyDkLl{dBEV`dEcx44O5VOZHQ1;m(6j9uU|kzlXBFkg~zpg z#>9WoVKt3aCYL;MV$#0lA8cP6{Na=II}Icd-L2P1-ixc8v8k+%>5H4cyy33qw27TJ zxtbsYnm1Xo0@y@brVEQ`2dTal!2VOBS=Jd!>x&NbGMvr_j)U3VAxDw(kpNqbq^%xR z?d(r+M@7O>BjQg}YCx;*@vmk-elV>L6sZY$o*+9pRYT^~R8@~Ab?vh&EAeArUy#W} zk#%fxKc%ZVn#qGqPY94?W@rJ0TK@3%$ok>O8@e{#^Asbd1Xr7f$QPF{Llw>MbF?iR z?rm<`TP}5hNAd*B0JWhzXVY2BU=BSW+P25T%}VXk&D6taUz@ufSyk<~Cj<;fIn!uJx41|7=p6Abm6lUpp-z0L};Gj)nnQq65!* z`aUlZd6K+@f@(Gvp__scH&lY87&K|5K`np0)`)feE{k^uwd>gN9;`_%p=&;PPn|TS z12Ls|>Q@+$80scz0Zg>4BRPk6cYr7F+2rS_Y)nhbCYtynq$s6H-x`#@m$jU`4mL&` z<_JK9CD-lXp4h42x*8pxRDd9VT{>kLZv$^iN_uUFpU}WSE-Nk8sffVCHTTAEW zMR06tlZ@`1Sv3H^%}$n=*;EIcVMdhLs<|!3BoR6|Rihf}Wguvg?s9P3aej_vUM_$= zT$LbLkV|nd?4PXnU)}6hQ~@?PKD8udwZ5?ta!f?X4VlH}&~w2H!KP*s8fxGbBRGF% z&Bdjd#zQn_J|G>g9177DG`%d(03NK6ynN}BLs@xwui?W9shNevY7ePl_g7Xm57jSE z8ox!dZKdV7p&p-Q-}$5H2yet~>)iS5%L*BRAVq-+P0jg>Oo`~oB2sP zYca5fr|Gw4g`!PI)^jn?8$+E45X7heE`B^P{6YVtKhztR3ly{iu>I|&Ezs_EZhwb3 zJe}KnaiQVzK~}`2-9^J<=djR`h-q~u^AWM+@s=DY+Xflo^rp*+L;;Y=ey_JzF%NXo zN9=a&(O;cy{Wc4Mjo~LX-XLx_e3$Qonmta4{;#r**+7)5Upd?jO<~v5MCbIB!x^iG z&;Kt8#K7)xiI=v`hNH8LGH{4UILBl8}c@M z(lve$sUI)6zz?xJkPaM0&S>-AvCeiu`9b*eBW6Rh4$@0DcN_HHuED04BXBQ?+oH17 zM7v4xHry>wVPRp9$NS6U{raU&vnC!au!jfoH_m3f$fWtm(Omd+OocgG8yJ zk%ezS(U`f>?&RQfixrY`h8V(6uN;rTQ~?%N){e}FGiJbML+nNV0V(aO9rxV>PLV*B z9@{6lh6Zejf4_Uv5(hn|7hs6iC9Xe_awBRwgB062 zH%FN!co$ZZq!yQy7M-6j(?O=9B7j)ypWM7m^HfoKbg@!Bg|rYAx7d)X7C0yyY1HV8 zYk#?|+KtRwX%x^~)k6^Xb9Z;@R5%3$s_^SJ^)JQUm;YP!W;~iKVw>r~VA7AV_G0ct zq3n?)@uNjdQ87yKPSD&=Ioc-*L7NoM{C5ezL>QH9ezQ}87l-yZ7v6E!3@!gT z@!=r+XyMj)eckv1#P|$}<^X7vCBM7JX~!wpYok7i9~Fyc;p_Mu$opc&Z~8d#`P}9` z#O}{(v>%Qbr`jcv9Sq1AcI+7#7>|EHwnPwARb6dLX#O?&i@^U%M}?4?iRo{K`(nrM zM0Nr~!cIZTf8vrUPw(5mqs+bxTMEfyWooy{!Zrxy3)Ogr?I6k90H_)fq1Lz10;Ou8T!lX>w$5my~e-C zKOU(U=|Z`J0h(MWv`3WLlt$3&If}KB@zO;eOvjEloRR!>2VnS+>r8zo!eU(FI zi)PlnJNMUN=nhiqUw{*#gy#g?d3iCM{x@M~J~UWn=f|||YfDx+%F}+l`Xk?kIo}?M zc7qkUEK@W#CTBj`O%i^!`uKg@{3YLTE%z%Oiyu}>pKwOZ+G@OXg%H53x_Ct_Ym?-9 zIxDn}isclYK&TfZg$-mMdQK!SDSu#$lFk z0Oo|#2g-kSmJnNY0jC8U+A9^=%~YcRL59a}S^X0)7!vs8tk8i|lC4hg+ao~f_a%I$ z56FVwhCh?=MgbtArvsIdH414pFc)(UP~WS@(N*iA|0t=Xzjt+O4 ztL%4`>n|5va*B(q&Sk`70~Q-k5!yRDk2|p5zM&%3TRobXJ#5x1(K)|dY&NgVlHk8T zQ+WC6)yjH|wx2M`vMtdQDwAi3>{~}f3ER6UVMlq5x_xHoEU2=3NY&)2oK==3V5<0= z^1bXu8_eZI*Sr)CE`lBx-Codtz3e%$!*gI1oXrSCuES~8>&F$6o z{H^C)dXPgEGbVHMl_OW}^Bt&-jm^;@_hD-NT_>gpM96PNrO648RJ8pWy0rri$p7jxjoz&yM*#CBfk9oKlM7mbC0ID#Fn2Gq`A@ zkF5E~m+JAv4l4+z!lCE{^Vf!(>8w>L%fUA(fFNn%dH*UM2A`!UWB7uSY&! zg823kB!&~px#N!K!=YjSys)sFn9B370=gCqq>{qy9GtaqBsPit z{nD-v*PGsr2r>M@e=d2KQbFa>d9qzX;i&azakB(n<+;UN_1msc0$UxW|2zs{b7=pI zW)pfN!u)pz@>CQdN8XAg2bV;dQNJe<-QzjeS)Yz$-kZ4t{f*w^&193DoScps0)qdN zF~0}WyTJ2YFDOZ%38QMg9d6^@33DQ^8#0`ng2E4AKWO@$!Cnao>P`Ft|BXZOoHqAX z?T>>CG_gv6jN&PXISNqNe_$N)*S6sKWb)`CD+`k&fBInmRIIab(gpGWlGOINuSh*S zrc4pF65sN4Qjiw@_ZIM(#dkvt#4&vqZY~#lEg;3lSH=48b0Vpzs0h^6*7gG3@mqVq zitZlo{t8H1qT78eYn$7vv)F{^|L<3?T9Jkb|M>TCf15V8ZN8tngihyi1+lUOMiTsf zt^yGWgL1X`p#cu=DH#XV$u-=CM`d@h`khU!C z@4xx;l{1wOktBV>wBlRlpFh(xwdo{|&Upl?;6=<9l&Nv1<@U@(Oa2M{6cBKe8L~Ne z-0=GUAcfaJ7x*gIes=a6Rei z={UcLKQsfW1E|DAM38{G;6XF6mKkMDO<%CML49^?Yz$D+^4jM&wf3%$f^eRb{2+2F zBf!XyRX^^)J$+7M5Z&6_h1J#9)_gjoq9G_k!artyQ;#i!O>@0L$Z*Z;eKBAWy#*Y z`PkCZ;_V=L!b#Wg_!dD)Ncdml8jA7D{o!G`E=)mTx53drQrs+-tDPa0j|{k+5r-D9 z{-aX?f%QbEf{>S^jboRF1BF7jinC3}PP~@WLJR$!Rh-5{9?>=`oWh9s=}lx4_%PlD z{+6PAJCe%&SS0df1BtvY6JFzIZ-CaSlQPBCySVWNd3=1_VV0MN2c3`*wM6yxpRY*1 zf-UT`!vBnMLPTe8o1T<6n3#x_L_Ch@VxjmgV5Hmes1$>4XE3fSD(Q!hKo9Y9Kg0hb zqhtgzE?7$co%~`XXq8Ikb=XryP_hxq=y{&2+P*1Gf^hr)BRUu7pXEq(wf6mw4+Ki# zW__<$6`&{($7N5$WgW`oKE1)F*Z2%xLqtS`oQeuUGZ*ue-y6Iqg#`PeE5_-@06<5} zwz%^A?1sIVE!Y`0woKs;`%HdeIO|Kj0RcX}eP;5l~Qj!YTT@m|=0~_2>VKkmP;b7~^?wB8O*}7Mq>yjO>p_J1M6!PRuhN4)EJ@N^-I4rV&8(0GKzchn#lc(`)y|Bnb5f-Z7Yv1fySlkS zp1BdISGN8Boo2yllfZnTUTv5Nu(m+dq0Vtka&P5R*lgCsXCL!Hi{thv zx%t%JXTZg`f!iIKn!0){gDoCg|ARerX)~AA?bwgg^+X$}9l+0pyy=|k%!-RO5=0_j zwrSFMCoUek7NKENvu2~wO7Kjum7FZ*xsP76UGOtJ_BjhR@sVmRfFNYnK#ZP5rrwc>ao`4EHy+8CIQc_ZDa=#a6RY8OZ7bxd1VrOX3V;47G z8D~A-nzP7wLj?myRx{8R(sN5%VBEaCNu0JD!Q$%Q6Kbd2>XWN36h{qVk@$GsXA)oE zC?XR3;K&S8eq@Dwk_g?@)4+qJ#qJi>g@V!l0sIfgVSp|=J|^zwd?RJlI@j}y>sf^U z=P|O6%+WO(a%u?Vjo#B3*k&9#6P6a48G_!7p^Az>juW2A%81>r^} za1@o=_8p!z2>GmvSX)E*Z>NXuohkC>#yW-_cc2?k5P!CP6}tU(FrWU z>{CH-5a@dSA7E)XWz+p&_B<#>zbvjld9t&tbkv0@B$ra13xn7sA<$mOh52y@aehnyN*2?#0`M%UE{k0ycH(=>OINRP(wc z6VnrbA6Cj&hUj;`22}>+5GEh9#=0)N=i=RDcf->ozK5-3?y`w z=y$=HSbkq)@VNWL|G3VqO84yK?!91e^+54mRDB{w#E10@9)kY#;;jn%wW6 zc|u3i5b+Ry38c=w_6ob{FFSBN0uGta(t{B4Thoc-CV)7iy`3Fr*)HCJJe zS7@W7UwIF`)?$f$s#(a$+E0rgZ%7rDmM5Fsd)a@F&O)08o{WYxjEAZ96Q-a>fRE2h zLbo${LdT_N8uX-RcgGVjwF)EN$wj+e#HufdkOf0R&hEv>3$Z5C%X!#hfcsnBwv(60 zv@=ug|8OLy3fu6wY2)~)gGI(NL^EanvlYSD8{rIvIN(fPcX%ETG$%kCt{8^(QMU)bS%b*>HPOek7;Th^VPO0$d>h{lkqebx(&Y$$%hBqV%iw=BUu;a8o6`WT0Ms-z>3MlUwMIE+ ze)`!wyFM_LFo^)aDRI(|82Bc4p@{HhuSRrJP2a_Gs+O|&9Y>FX>|LVAL(5Ps#H`3w>!S~ja%C^_!`ZFz)bX}hqiI@Nn(Jx8A{i&A zQ@eKLD27n=X}p1Z-Jf3*s2RP=mZr1`FvX)NJO!k36Ve4y;`V03*?P6)?B||c$q`+x zR=u=&x+^}2-p~6piWXt6)v$jR5&_FB2SN}n@LDvS)}x-jfqxEkh;tZp3lP1OLn@6+ih*HTgrEp3{A*QcQ#E7fEIMH_6 zKlC`3QBaDiJE;8$GFPjY>Kljg*O0ZS%A-L-Jj(jX@+riRNxiF zO^dqw=|qucpMDsxsH5Xmj?)_^Q<^I6Bw=|G?yjG~P=BsOE(UX2QeKG9S>~|(*hKZ# zuW(Cm^o-Wd5InJ3q>QhIGAQzIy9M z3k&Mfaw@Sn^7X0qk)Sd{2L|4s#2r&(yZL;{isNZNX|`-iR(*Y9X(2`-!%{oOyeSv@8{3!s^1X6fb^wk5{@ zlHn}n@!?x)L;h{$*gAivyi0b;Yn(C7gR)tuo*qejR`{=9pH)?HmY0|RGyCkUtQ&Xl zA3wx8S_}#zcN2l{=eu6R*x9W^TLX?pf4vt=JSsMAd~QzA7PJSUT%_jGAR&EyCL6H) zEAe-CZ+_8Ql#2GLj0=b>B}PL)?w9KX@F*V$2=)`Zd3qOkxg8G+2NG$zPZOG4uWi7?B8rTTX4}z%y-R;l z<6^+1F=u*cvsXJMf0gkOs4e^!Y}N=(!MfQa;R633?PeD_`u!VSW6%LF2^-&Y$O zCjQ6kA<%kPe=%eB&)M%im`<^V*5new%gw(&v&;UA&+r2V<)4UHmhgaXDyKKtf{Br# zp$;^?lGLB5R}8e+xT~Q0iwjBaeLy>9S-t$K@i+wf*KT`M{+6pu=Nl%Tvh-3h(eEWI z+)dxQu*t}9%-;R{h+#$1`hD2E)pfvucEHF=znSu?l9DE^m@VxTtUf%+pLV+3lHS&M z2>*C8Z<#F2H{8Cfw#IxmQdV7x6lyWw)tKR{QKv^CwJD?5(r+O6!~c+(7fBpxL`D!I zL=>$%Y$&!0aJ2!u$YQ<9Uv1RC|0(4A zq^0Hl5aKk%=aL`1c;Tx!!NN?;7K~S%3>lTdSnV$ec6>i5X|(C}zV;hUi4xbBOy{@lKDrQ)hlg#t*Qhm#<1eU0n)rZ7HXNO4g^jUbHY&OSYZMC{&wYgIdirpy9vB)L zu{nyvtSg8gpS5gL19x*T=#8$oSNg5+?v($LnVOo~e7e*(i5qs~CXkz1{VQTckniTm z0`6TTg&tE#O2n;Tz^RIs@*M5URjdymda+bAT4pNDY91eM@A=dT1_YnW%r#KNmF}QQ z=5fQBe78Mmo%kA||05s-5eMVZA3(Ez|7Lnd=8!`-6pwly1SKtG8pAQ!ijrmOS*5iy z+W#_{ebByXeU6$;)i$E#Usi_OF(RSm^&?UQ3%{1r+ zQ5FluP-AYK?1s3a2^($1tg>sCqydp~_V>dhu|sGcs=T8z01FX|CNT@uARSwa|B3y% z+b;n9Cmdr{Cy1Ric=B)r?!)Eo&Fx!s)Y zRuEEH*d`aGfC$+GrN7HLTQu+xHo;|XM#}Q(f<({l)iO=*AHCn`D|diOWP&d60Qr3n zh_z~eby{L?>+N^i8QC-=`=JX|nGJo8VgDA^TPR((F`t4d~dNd?dG5XvN{t#e`( z{)EIzQ%G;X&CzpX=(SD#mCS1o2rto5em6$hWs})}>!SW?sdIYVJAG!_gDk9Vx})G5 zPsr1WKJ=4Ctde%lxx66mjJL)P0^41PZZGy<=xFLu354Um6!}8T!Sti~h=qgZ4A>-yL2ZL0YKJJzQ?vP7=6o_P`g{a3qKKW-YW$-z_~)5l0abu_I2@`4fsAzf z-Yo;4(_L#ed3N1cmQ@*zL1_a7`ez9X)6*T1viE)omKqFgR3Rkr*Df0j|q`fD^z|0 zwmeQuKv<^Xc0OL9TJpTiX-_$+*2w+!bjK%G=W0KA1ya>A#?Z{ERLJckB5`L{C_Msa zb{=P}QfE;{Hm7wS;Q+oT=SNHt`C(1X>UsLycch}f)yAsz?|Dj3EUNcF840-+d1>!^ z+j{xw$RHgmK7-MDsVQBZ`8yQjFJv@=q4|OubgT53W08F$lIr_!XTFEQrN#>)1&fnY zwIcSu^r6s4`qGSv)jPnvj>?Kc0uQXn`E0{AOz?r(2xxv7_ny`k}O-zaN5eNGh|BOpv0w=-{fp-^T?%;uOB8pp1PNDv|BP=5 znJ|LZyT=&d+5d8DtYM8?ea!zo#4N=TukurmNgpZb^EjO+-u!;^vK2b?O%x48uU)gj zglTMarJHZsYi!{a)qIzXX4k%Xc3Mlz1{!K9!zs(879@$5URKvZ^tr$@eRg5mcJXUR zZLh_Bv-jDzykVX8R2$Nk#D2RQY{@15n zA2p~26P-0(h(R+b@xmxE>CM!v1qau6YX`Qat?#KBki{J2F)iPWjG)j??-q87SLBnX zfHt!0rhQR9**T$-v!}&6Q+MGhaca86GHJCb5t;7{cLIUF|8|sQsH-EtH zF!Me_RqyW5s&TMt@L^!`0lKOtlL!rI#LLxmJ~Q0X4_y!6 zx@K-Isc6~Cf%BG0YC6VH2%5IPXL4Y)BEeb)B8Y7X&<&p%@wncJqOiHCdH+ zT;wX^n@Vy1Yr*#cZ52l|+ zvIa)ZbBJyfbnR1TYud2u`9>q_+C>Ybj@Rk=6|qGVdQGPBL^ZSlcsG;3M)_m;J{Q+4ta3a?`x zZfDIWst*^qo$g{}zskvNu^-x5OBCC)Hyxv{uVcCQxvi!UrdL)be}XoNxj#^UNueiZ zqmTYA(WB8|1CN5OF|q5`-4mJJ-NV}xo)PzNoPBs?L_o?GrNp|#Ksrv^Q56RlcbiVF z9xhS>@5rrRY_>8o(q$An<94|q0Z1FMFhlFDBl*&@)0|=`+(&XllAfNx{y5f1a;f); z=PsEyexet9^Rl|jroDZ%RJ6q(=~#ldwy0KC^(Eq1!fB&FQLs&LEwK$%pplZ2Zf$Lm zJqF(*1j~&m4BZV@HHEM*HkYhYQql43S7~(q?kUi&a&C5TyV?E{n$mro5FH)e8ZxO( zyNM?lAm5gG{^Yb{Ca-9(MHB#;&{yWx z-z(YD6-P9P{k*<&B&RZx76>m1~bQZ*aWHzMK9>hmVwDAcO2t0-v4i0`4^ zv(Uw++QywLKSoB^=A=0#E#N`3fhq~f`Znk9^a#+z|2ya^IuHe0v**9q#b6Ln`iEiL zoC#C+VQ1Q|d-u>Ku?PNcr`q-)9uzb+T=hI9$FwEXxOm02_r{K8<3z@T{h{QOPBgxd!DP>EZYR8ce_173B#h#RVZU&|^j9VeM4uxm(J9!L;Aju%f~9HTZlJoEAM`+FBe?z-Nmt#@CMkAy_%sIk7P zHeG*lqh4RKt{F-+bYL5|J;rp^I>2sqYr$@NUC()Md8l#ANJsa(vvY&5YJ7OAn{@G^ z@$e#1jd`l!*7o7FDftYrH?4iDWzOUjg^xeKH(eD!E@xQG-e>V%%=_0I*H*aEGx(sB z60?Z!!nCBit~e*LW3oDx5sEDty4KkiJPeb+ZDW&iE0MkBtF+(?C{SqbdC*CLyB+%Y5D~ zVt|OSRripDyD8$GI;mN4Z0~3dMoFy9Xz?Z$3Ei)deBDtyeBL8F7Ft~94O+6eiAb^9cX4I|9RaVQ{pF(#lqvm&LC!Vpkq8dc2KegY_lG`d0^sAVLI5NxI0Op`Z}hX?kL7JBMiV9b+nyB#IWIq$0|=~(h$DF%_P0Ghtt32*|2nvTbsB%Dcf;%UKyPpl*Z3Z1 zzUmR(<6(F4dZ{h!HgR!grqf@YKP@%&*GVaI<3$+Sg?hNr<-$GB`I&9~!v=T5LszoR z>B;pvhHQ9(ON7T&Z_KO0{?W0|Za8>&V^FFr_M}FrEl^%Das{oLD{|qNz5Q z^ili?N+-nha&d*>`ji%Xd>ZXV8S8eOSgSMNK2zoO?B)JVOJ5@J7G)3G%%l0@f`>Fh zJV&OaH>jpyMmc-2ak^kUjo(Yxy1n&To;48_foQLnv?()rv{!WEQ;MYYzdzUHk3UV@ z^3=>9sDAFu7?Gl9#LFoTIKJNH$~$N+#2wee9QT^t{|uYiw&I#D-A8l@eP41BWJ;G1 z)9M{3;qwaZ@LZRe9_w8YE(L%XNdtvTNP}k`c!`kC-^_1ul6PEmQG#RV2!0_+2(q3( z%BV?+uQ)Y)bf}2FEj(EDos20((EkkRYxm}>FSTBrFB{r!{z_SN*~)C( z29YcY{&cg%c5<^Zmp&$809xNs5VyE(TX@MgHIpAdSYJ~X%WTGV;)?Zj`HjGPs9z{v z#M6)K`QWH2*?)4cT222W=!32=qoj!dOPk!vmcQm6ii!nT^szSp{qnD);m1otiAQge7<$uvnp7kl> zvZ}+c)^zx8w&S>6c#qGc)jC6)Rbp^JW|Y+>u}(-l81ADd`c~VjbG3gtZctgr@y4kE z-GK!waq^+v7q12-`IRPpCL(eB)}LLLNu?uy6$c3Kr|4;148KhuG1vs)y2nEm4@e#V{6Eq)%~~8uL_80D1WLmgWJTy%D{EFFGs1cLv{Ce zqIj$plM)B?H=A2X0j)Jr)EGpoLPyGKPr^E0VPIrfc6|;rF)=^+Gz(&c$NdiV!^P&} z#Rt)CFhFz`1K}b&SV^^8YwazZ3yATNhr*mSq$7$2u#rEUQ{DSRX zo0F|^I69G(lL&cn({<6Jb6OhloX25OBO4`or#@Tm9BhcdJq^bbC=6n{2=BR`J&V>F zI-S(=$X7`?cvvZnm7zhd{r!OPWGJQcarT%>m6!ixC?3vZP4O%GXj;4^`{;s+b$(e6 zs75iiRCU1w2tRWzY|`UiAR&f`GRN@>;9!ZIqsFXV@ALlK;o{;7EuvV-`0)o=%3tn8 zSBJj=7AYxfZ9}D2TwKqB8H0_s9}45-6)`L^wWgJub4Nvsno8r8q(;|K7B-i%l$fVa zOxY|5zL2i{iI;P0qoUqgkP9{vw2!mOH^LkbU9m|8)-tcThOKOsR~=7UvrX4T=PP1M z!NgnmnAY!${y>Ili?oBE`XL18kLZrK@#VpjGx&;(Tutyh`u(Z@Z=9LxH0T=>}3^oRm3=x(CqTgKHz+hey1QEk}K(E(I_f2JX&%j2Bou>LX} zsut5Xz>wnT2k1M=o3-D}gc)vC)@>n^Cm9~sY_^;IXP>lH7R5EpUxz*J;5H2pa35M2 z4lUdlXu3r~zgb)3HaT55HCg!i`5jHcnp!jyEL--jC;HEKRmxnaNe*sL*s17fEJ^O0^PKbZ?^fL76>Ccgy3$qV9iWdM zV{jTIb?dgcKK`;(b0SYUIWly>6OfAg2^?MdtHKL$rrP>Hm~}j#-MyE3te^RiP3c>CegQvDN-;q)Q8L z=%14ZU61eB&Lk6+NI^@_t%#iQW9z5D(uDm;Pt98hg3tt|r|ufr&HJu6q~}v$4g{{S zq~)Q`#lPqu&Wm5)@T(Te-)(6(cFb`y-&Ivu}|duN!_$ z)p3p3$3UyeWXe+GonPuJG6!wo?sRdxMsfaPb3qt__GD$I2aflRs_}5E`JHSFftWR& zo!3M2_xQR*Z|B2|9P2=AE>&X?Bf)sPrAw7>`jvgbZk9#hnC+EXzsXmNz zs`BX4jVRAsYeLTs+(Nbdw2oamH6gK={5jYnJWG zR}ap{R`%u|jkAW*#R4|4lYe7zdSh060pvLbg#6ELL?17b#fUC0JwA-xYHcPnEVOEC zI}Q|+49*@}u6OZYMK7XDLK{wXi|r4aE>WG5kwHq?rt=rP+qmrb9%{?wli+S$lPL5I z1tm91?$Gg*<%jRRX512qZWtX1+Gq7pEWuzE0!`FXStV=6{KO=G*+_+dfSHT+{AI#o z`9@e5-K|=@m~X|sRiLS>KOSkUx+Dagl`C` z%2;i97CTEKqxSffrNN}EPN8o?N}s44e`w_yJN_kXqsq0ktIDm@lMW+Ns#sN)p~@qu z>I*#BNiS*X$v-48I2<9Fpik&Lxz6n$6#tc0=(F|X$xFeD?s)^jM}U0sCgl0NjDAwc zqnja`sl*6&jc_g*g;?b9F#6~i1q8Z4SELSmlVDkQoJivX#y-6$lh}nNfxNFFYaljR zz~<|n=dGIUKvaVuq!V5GN0r%N0qzTW*tKDqiwrFlU<3wpTgMurIbF#jv)xZ!Q-(tF zc4oB3%$3HCCl>^6hOI2eVm_%gm*+odM0njmjfRqym% zbCV5rhQrk$&K?au=D-?Uq<5j)X@3hs(HxT2#xK!EhNpu2K&z#UC|sw3z__!I9!T2= zM42=4;yt2pL#dT#)7nL~IOp2Eo*68To)4y8@6P=)X8$$AX#7PPY0PHf>#( zRIRD`J6h#9d%zyQFMqAq*OV?ksz3PbO80i90bSqgf8FkZceZg1w*BrCjPXhTKF@B) zZke65H>Ys7zAxmu`4EK-xn>aa|Cs@6dIkTg^kF9dww~yR_w&G@ATVGosHQBt>?F@n zHG_1>sXGw~spJK{wzBd_7nk*qgErMpZBsQ)i~W6{mk8%qDb7$z-Cu0y75hQRcmo5U zeEjiNeSrMn{M*K#n8h{ljsJI^ciNowMP)`E?~AI*;mNxPecF%094e zQ+7Q7Q)662gmXbe>^x*jG(?6gZ z#+31w`2dbs0Ft5R4MFfpkEcuS#TKRVBUBQvUq<0zMzr0yRV7ejevAG->^-`up#n35 zn__cvKT}aG?J^FdpoB|k^k0i1iG|tlz_A6SVP2jH;~cU9%%$Ad`l93g$vcb`O*9li z44Ij!R9sugc}3|jg_mqp9rq*0e$RYUt#U=C#m)*zkR*5TkGxyq3f)w(;TZz%-^Rq! zvSoiq5XK4Du?3Yi#BshLwNv@IeT+YBosmydtIqnI)$)zzHld(|wUZ#z7mT1;ua(kO z2hQPndQ{^i66UJke`2z2$GusKG=7QdXH{~wEhrC>wHo-86bFV4+l*OHxz zo@+K?s`UJ$f`a~3`9bN=GJRb2!yn1eH;#{I$=KLt z1dd638>V?oTdSYPoU5iSVJkLV2%0LB^DpSfCM)d;@KODt4Ott}&n~Umo}M}D%kfmV zEsLcZX#~rrb?0Qq6V7knzPXJpxL=aGA5F0%BBAP?CLCUWD$b+1oU4#e&JYaH0+Phs zqM`#^Eg_*7#KgpHb0ox_jb(-JR>yT=r=7-8u9rX40Q?G;iUdk1TYILVMm2FWe~7S& z!Kem>mOEbd#oe>2GBY1_Dxd19lb>dszco7-GRQ%~AE1r^sNT|-dQ1q;^m}H>G-Thy zbPaCuUym)8D7Ls9SeCxjXF||LM$9hF4aBaJmaUSn5d6|}(%2NO$CHi``Mv&e|O zoyfUjh;R z1LSp@QIe@4=HEQR=^dRfsdI4v|5I@n`ZfqpQ)NUGb>@TF)qP)GZ1TIV`t3mMWwJ4u zMZr1_5Svg?fs2XrYvC&|GkKaAKDaZam&r{@Z$Zy zM`z~j>@vM+!G*=zdG=52#hw{mrLhn<$>Ov~qk(RnWA7T{aU>ji1OQW;JgSsZ|6JZcA>k?{&5hB~FGJ zFHNUoUT3uucTnCkU>oadx5^Pl=O}a)iR+&*8x`Xc{LoXff3Bx_bhf9!1ca}U@6^fq zKF_!E@a79wUfESe=1Jl;E#7hRU(ayqrTaOHzvSf5z`sA=?Kn8}`oSt8aomuFg_(ST zmzTpJ7HW7N&juX~es($DaDbHfg_0t2V)Fv!XON3bLPYXT)jsuh?%q6X3L2;0_%|7$ z$?n#PhiK5qB=Z!P&-BP*5q4Mzl5LRbZGaWy>q=6&P?Hn&ivw1z78$WHLwI=j z{h%2bw+2f_Plwhq?NXH{xkcd=qt+#`J4jaGK-}Y4qGpvTY)UiZ65o;jHbq7xwm5Dm zSKb`^rXp@)vV~an716pRk)|*sqYR^}0c#u+@ukj7cxS~9IZV=*sb{Pjqcw!=4Z9zz z>=dP+5y#RAG+OmbsiRDBqqaf-yyII)7@D0en}(IcWoLjyR^CO?f5iEv9_GLbaOZb9 zl3~LUl$c|ea>}pfxi!10yEA`Kf5aC-S!%myEB(1sGG1wQp5BAKY}>c2q%%BHXJW*n zt=*bOKq&y3!EKSqaLp>J8^)qcT@r24J=7WUGJkk*=XtC)ogQ{S6?_-jwySqpRfJX@ zc71B}4j)t4Ma&=iO~eojT7OP_IqxQwvitAf#A)va%tc1KT4zx0p5H$dfAeUBPIer_ z<4ep>*urD=q<4s9cMD3N94gWQ?U}7uWG97(| zBrf@VSIOQxjbvMs`Ahi7gHu&Qj=W?V8jyO&JGuJke~Do~>S=U+s5Rt&BlD>mUlXL$ z7@iPs#`qrZbSFRQQE4jhv{{|J87Z{wac*AIdU@zbh{qEsE^cY8yyvw+d9=yBkUXe3xhBM3CD}SoE|G@H0aJ-w zKf+%4Ru(J;0V)&ll~Y&==_5@3x3J zY>!+*DNu==f zR9R$?bxef8P9FSc@1s?eqRuC8ptn1;*q6ws=JOZ0br<+cJG3!Zg^P1@y{oc!p?BUS zdin*zVj{odBl<0>G`f1Reh!ruziLcjk=bW01hbu*gE-(OauC_({>CppJisrOEBKQC zo4i$VP_4XT8j@50Q6+*1c>qm;XWYd#HBLC{B<)kMMkT%a%x}TyjP~A=(NZ4q z;8LmDWi&->l~AKA`@=1hpG<_QCn!Cx8N(k!&$qQzd;G&V)TWbjAE=FwXT6QNJ3o;Y z=)Qb&gWR>(L$?}K1K>YtxRU~9@U&I%{IY?z5%ugv@>-H?sP5s;%PmyhSZ6gT4<3rlO_*QgFK=)cEvb3{!>8x=l$z4ZBm3vQ46~qUdP3RysT%&gc*>Sa8U07mP+Vvej zlE&ywtp%BHHZ0p1g+g|vq}X!|p^Z1^=6>tA zLHDTjVa4}t^Y}cji9k%cSYEIfdAF7QI1qDKmxP3|f`o>WmRB39>4JK4m!f^FuC1ih zc+yNjr_I(BHY~b$>%N;5hWG|)qt>2QLNd7Pz{+Yz5i-R42y1eH>u)lrFe_F&s4Aq5 z9yA{B{ZoJ2lHF*E6*Ydh$Dfi`QW6J@8VLzC{m70Q&~?2{oz5~+I$)BA>uzq3>>Td*7Hza3Y&N(qZ-gY&u+SIs? zefV(CpttC@Ibb}kOx*5>iG?+OSbuYKqiY_Bu0QLm{2v9RS8rx!mT@8a*2Yq}QQkReX^b`m{r_*lbzt>}A@FSOF z0e@F{z}b^PWE`Qb>eaRom>w%9vvKe-xCe)+N2RbG&+k}?=J*xUzp@-u+bm}PBBm_r zYKS0ds;Z!z^n27zc6kk_*oa=yB6Ubed-ak0{7@9@0MGH}kcp*v`}nwb-^g;HQ*KV) zw91>TO(=9qT&W?-QM$7<9tnWU^^stA6|6!R@e)F}xkW~$2AZxd3e0&71_ec{{Hce_^#k$`a1j(bXr(q<7kAaLJ+32m)8$= z$>+exP2+}xKQ1j}RZl$=o7-_Q7jjx!d`nC(n)F;YF0PC`(@j#p<1AJW^K>DNU!nTd z-Fnv)?dDWlbMLRE&}R6_K!T=pcq-90;h>`;B%SK;4GjG@9JWVbGc8!^g8A zZASgWMp8`7_mRJ2Kiet3B>#ieC?_FHTddJO+2lNwdVBm;DQb|O+vBb;AB3r}vz|zx zg^7%W1?}u`H5vYR{^I(Aoe1ctaYVLJvttKn7O!R+Tq|9gv;#IG_g#3O{pR%X_l<~3 z8d}bvyo;7sic)X1`UHHXW3&ZfJz8YM3J7_}v$Do9Nr#VDDw$s-R}^)T9&hf8nQc4Q zv}V=Ht=MdhWmmgP_5imoRSGO|j3PIaeozyL8t5lJEZJT*0K*K&A%zK!Y}vHi-DmUqa?-tWK_ED?mr z4AfsOOE?gH(!Dl}tTuNhiIKs(Uyfa+q`fwQ@)g&^JV9r|9KHYB`XfL>IloTGjOQ7b ztZ#XJD97FSvH$v|o-jj7e}}*I z6SNT|dzVe$2m`;X78@Tu`HhRZzh(kpGb81<)<;7BxhOHM;X3 zTaR?Ep7y()m+VH-zPG+>mjL72Ih0geb6X?$s)%skb`n%+4f)}zTwe2Q)VMxF3|t#!r`aT44DaTvuZTGp+b;l08u6UJPHv2}91mY|qoo+_ zk5cp4-A2gcPHk=30KoN}?~2Yp3E|Yr0ark)Ljfy`8*z+RBjUJ5kH`yW{PvN$(M)B2 zaFuzG&rf008n2Bemn+LtPEMx2EdTf1it~RsD}s;ah4}G=oTVCXg0Yr)^N6YIMCMK2 ze(Wv&2MIv7Je;Go;oKLdIn%Z|-qwnJ%sPB*+AL?jQI_X{4++_fI4B&-*xj;3u#8DC z%`IsgRuBv(0P08#BBCKQ_oEk2oqS*v1xGA`1A;~!Vs!sYv+9@n^yC&voxdcYdp>QH zA*P_KQH;p#H!ibL;Ku;3$TErAn<882Kze5_K@wbl9FN zCZV7?$O2vP~*jKvCvljj|1qu8=EmCIXPYzFK->TT!zO-bPsvlAu3SF zt~H?Xkrt=sOfrh{%19FFJyOj>y5n|3fVk4~Sm?~8M_VWK){CtH9gOF|$R zZAs=#YTqkd?p^@?*NN?QhuWF{f~|W4o8m z-noV!@#&TJ>mgxRw+k__|A4^*;YN-S@~NtDL7fol{H%;eb<5c8_af6BnAAKZ86I`k|3<&!mlj0A3m}TMzyOT{c@StmGSWrdOQ9Ajtj`^(IU$8 zN-=hogYoIm@aZ?wYAY%+9hLenJ}vlSeJ+bSxVX6RKC#l@dOM-ov(d}I6%=}1hPB(+ ztaWpV&jj-oE_0?cjizzA{p}nkkpHHg0SNIDdiRj@_EG?1!PJ7EB69!5EBZlZU;f3Z zOmh^EY>8))O5HqZsCa@EZePK|6>!%h($4;kFrQ?-PvvQoiQ@b$NTfrWqB{2UqJCxT%?d? zKldoBD7RfJLu$0~v`8eJq3EjgzNze6TU%7F9I%*IRozesi#5Eh__^XT6de>Anr++y zu!f;qUe_L5txuiTo((=Ul@VAseS23iCreG)UuQBUc)H|F(Ie&$ZM#lDJPzr;LS_8M znn^5x8kY=KwyAtoA=j{?tYw=58pRy0@)Y2~{5|7lDMYnvu>}BB@R*%#QE`+1?Jdf? z&8^D*LCN}mms-!ZG+b2ibO&@qyv{3j4@tv`U)xO9v`+K^Fj+B2xO3g3wY9Zx0fT(7 zDozwr|0`SGgoieCgRcY|$CuvwC0y!}`$9CKYr$I}ag?BTh<;b#N5?eFqeU2Y5Od~Z z5#+=%M=okDN>pmcd{;6eL|-ld&z5ac_;r|$wr}J3Jjl>fJz{G04!rEyT`Ryiv3UA? zm`x6D6VZ0cYu8O1BY@bZ#mdb{j~#{0?3n4BeI)hEp4f#zwg6W5iEA#c8J7O}z!iRe z*@Le{>}S?V^Wf|?=4(IhUc%M3(2+|e5Ekq#QPgVH)n+JPR+Y8MDmH$_*SOCrKRo_k zdv$On&B~XYAAVrsbzUt+FhQJeCq>5hr%8Hc5*RgBx>gHBc?sg7u z+~NQl*r~%rCy>=~{ypgyfo8k_93sD4@qw(qds=^eCe87=#aFC!<@SRMRqEZuXSMlM zsQ4qimc3&7>z8lH1E4s4xJM_lW*O|4fk@nXiy7*!huLZjZ(-bRmSMzfl7hR3&rVL5 z-5!^?5^ZDOtr%Y~%GZ$(xQ8+?>k^#0^z$p&0D7Te<6u0S4|V;Xj*_?dbXdpmN%=GW zjM?Qrv(hiOiWAd7If0HPC`^3i`9}T#F>NLB;&R6P+na#-oN4QVB zG)iFixOP9dW{(nd+x4ro@rBqs1Nh8M`SO@4iq|B_!e5Jt;pQw*!HlGB>9; z!?RKo@lRB~`{*M%j3^+zj1yTjVX1|Ujm^o!gGoXnY$9pK4zlR zaE2dpp|izW?By%HS@{#v0Tk826W7gSOY`9@Nu1Ho1pd-Dm3cqGvBDF3(Umg1@oofO z?W$UHcPlC?|xrtgB16_ zp?R@0@M-DDYk@G2Qk1FKY_GHGSGsJONsq@1hAlowanbjtF-r3evS4j>ig2!%q9bYH z?JBHF1b76pUBe3;Fn>^+F_s3^$cIfCtb`c-f*%A<3D0{GS!!&Sxq&MUKAXT9?y$%J zt)GL+o}UUSWpC1^%36{CSVldbe0{&2;;I?){_R);(3ag;^Exwqez@85LBos271Z~( zgL-u*2Qu=tYF5O-@v*^tj13UE{e|HL4}K(w83csP`@VAEte!ds4acoP#nDdhshV!S zqw;4knE0{U+bc^Qe+VJb!EuN0#l1Y-#V>c# zC!xH3)wzl1qBo_}q_Drvcc9_wse1d~p6zQvZ>@ANgv0IogCHN9?T=OfyZM_W`9%#Q z)H!qY2>%G~!?!dxrfB?`=@64gCv$UFH`hV3$J2F{>y2N}a}aKByT#A8dhzR=AW*B% z)>8diHJZ^A0xBvEIk`WexuSOk+`0n#L%?mjbKm*fdi>b}m}MIp8s@LtW*%vUu0NqZ zjo78f`)&Z<^zD68+A?mm#jPN5Hu0ziI?T$JRq1o_A$SwKc|Pa$R6iGG+P*VO;cEx4 zQgOq}Vo-9q)a;M0Inn*1MNX4+w{(<&% zxR=ze+st;%Zo{2!sd4gwSP3fP;)ujZ+y=%gtazD5HB3Ci38ptjH%;ZM>5$k(U5m!{ z!#Yql>hEdc362SXm|8EuF>wVxL+$GDcxvg#$|^U6ga$u7N26L;*#5G$aYE$qe2{e% zzA9*&kN>riC7`aV5M;8y7`{+z1#mNuN}h4>CzuEeeSq7{Z+NR><{KdmRs zP#V%gDF+35l%#WIxLBp)31bdoVlYs1)zq{nY6HYcJg(35b^yk3PnH&+!cG?k zJWL=B2gghaEnEZ5Z7{7g85%rHY5<@U%r79&$)OJGb%JhYG8nrgsPa8-amz)!#6|rO z8y=>QMu=|uXZxf_OK{6>?TSclk^FeBKpFq7Q@@hG>{*;#L;<0frhxn|Wd|1#IRrO>WFJ*^aZ{p1PZO7RJ z#@>LjRG-y{FwD6k?D4)IpRI zPfhl@`w~R>y7T>I{|+B@Yv1uOf2Udd0gm$F>ZaV!dBxwikZMlLwknD#MyS%t*l}h(z^)VpHFOK^@~A`PrBrK|iL>}MP412PBhepJd z+Jf&}!@bWv=r9u0eo#U%Xl`)&uYGfUkFyMQN=cwNYTVrN%IIfi-eP_~5^do66FYlC zrFOI9Ry2>}_HT4RjeY`<)8X~HWds}m3MvcwnBv~c#`q_tkvJ%rgi*(ZBL$z6v1SIT znDO!wO-`1D8)PgsbXyVT<&*re%xi$N?mV?I(E=1G5&<#6%gf8JwMMXjVHp*>qcbC~ zuEHN!WtuIIZ#1mDK>{xuN4{59W%P^BHLr&`uV(H*Td>Y zjheo;JZJzGA%^s3$?P>7O!RW@qoLPm8};ody8AZLfgF#yZfzS&=+H~cj9<4G&LPG= zHPPjF-7Y=#foBD8?qM)rh7ce9_YC_q-qCnHJz2+yj_=rwqXDjNk@NPb^yHnTb zFUg4%i)zTO#%A>{dKKi(IlMNSArc@0tWyE_2Ed8Wn{GmK^1w=~)9}a$;QvY**uzTwd2P7$-+>8Hb$w8<)Oodt z=cL`sP$=pH)`0hkzaJGjUD0b7-q4Vc>c#Ats~1l)wrNt9z=#!#@Ibbko4a)ZElQJ} zmw&PqGnjUeMol0h)F9}$XTdV80w!PE=I=l5A&Xa6;BAzlJt)GVL8 z$({OM0hWt`WsmJft_c2S(CFmvWfLTw-6u=uSkT}@WHc!hxG?p{?(9YLkj!?mo(F=x^p2yD@EVRd&5SI>SH!^C)mhG#Uf~ms}IObWW z(LQ&A<-ct94N3XMz+IVBCu9e5EOMC1*M)Z=o&8@ntt=VZowac z>TwresYMpm(7*wFQdS&CnBGF*>CQnZM_3V1HYh48$`Wvk0oVk zFzTdm6zD`T%yB&A4Bo-q`CjJqC^Ul7kKd^?+oMKqibjgVb(h+63*<4oodq~ABFErn zqch$WcWE)q<7%aZ$HvldaV7u#tIp2B@diGKh~#8tWwBxQx;GepVRpAH#q^9Ha9alb zeIHxi*_hnaq!HV29!48QO%WlHSGNfjjl2}fPrtOOX)?1oC1&G7H8!TG=aH9Z*iTbz zz={7zTmU8}Zn$0)rsRzJ@k{~B3<8|f zDSZi>?km3c@4jUabQF#1Ad60kYG$=Oo7ri>7#ni`1tGbIQMaBrul1)2-OADQ~Ik!bhhRpLPfuC|j_weGs7Mx_WS?a2>I z1ljI8tOw!o{nGcYQc&x|_M1iVnwYS5v;=M>#Syq-a2;iV+792y#6SK+}sz*!xW-@07hk;jKSX z3kGy)l(Kj?IFwUNt2!?KsIIQhYMRuWsp6#kmd8!e2EKxVnIl$$wS5Go=NyMUf>FaO zmfJo_vhZero_nOpiXU>97-m0}8K>&82Bj7%{kRJqahZ_}2zlIBWi=iluGrH4s3&j! zpv7gCF$TOCzPT?w+fJh6)=F}N;h~%06u-1*w`cyxmV$@l7UNi-3{Rhv)9w6V7y)v0 zj>duLm?&6<987Bl-vYz_4jCCai{B*zlSWBJRaMNxgAdTQRM*s0)6@h^+pxjhAHY6A z?2}vc#+=`c(nS-gv%}&2MeBE23!JKQU_bm=EPW<62q3G!ZPqLKXvsX};wvxk6}%Ct zV}$!IG@q}l<@@*9ULqj-iKj`IASzgW_{-%LB6=tfsOtb~sc%XzwO?grWyyf(2TsY& zM$^QMj5evdhtrb~vze(c`Q`nl@Zfl>CWQI=d!Elc3s+xusxdGK2FHo39e4jaSeBQ+ z3sY7w8m^nw>9nnHx68~VZXmD=e(2!Wu&DNv-zScEI7V841dZ6-WC+I%BnXEdYU{uks)XUZbR z=jCGwVpncw1B{heQv@jpXm7M&L1aqBImWFIY(J zS9;qH~^-s)><}2jbiXT77 zUJlw{L-a}@+K_a$p@o+RL=uY)^mrislfJVzIAf0Sy9k$gL4DcsJ2FvB>H+AUlcx*^Y{Um{VWH~Rq?(l)X;Sm^W&(ViLO=lt$xFfq$3J` z*Iz9^kGFK4I*Hrivd!Cpq>>veP1NJC)jOy7YIDiTQTBoYp|wE!r>EOn1tlK4V_!*H zjPa!dUmaEg16qi2qHuV0niGPr%-joi#zsx(W9ttV>7I_<&WiK$fRZlE!`gO{2fT(DWS_hfW>OyCZ-)mxsnf*X>aR!+g!o983Mf zVf6lW*E$6HtaEI6S$`uCy1kRg;sGNyu0KF(q{ZdPXM5s?sR>`MI};kJW163T>Dku2 z{@cC5YkSAduDrMBwgdsQXJo97q@;Ac@64D^r!U8SJ?`B}?0Zf&K!I1!^OS{`Na%K< zuEKb0S9>^%yALw>OJG_5#*=j3rej$5Y(wJFV=H-2@Ur_JOj>&~yXSu2N<&8{d{n=7 zz;Su--EQv?na6(rAIX~g4xel14L?dKgmR{;S#R&USo`i$lVpEBzUbeA`SHpH{j$Da z-ny_ZkXxEoJb4)AbmT>I?NsMwh2;}rwdN>B;7*3HaqK4d;FYx%=aCa7t8G?ojlXG~ zq$08BmVI*<0l{{1*XF7n=hFU;IMT_RoSo`LTt-by#u(e>qKK4dL_Hm+xs!?ChNsq;%@nJ0ojJM zso}tMH()H^ioPzCwNX-^_6RdnM|FrgbdEScuPR+)QPy<$X>KEx$&r{<^oVl-`BB2~ zckHi2_4q7>sKq`MyZ$N5T&;GRHtzTXuR2Qm7K|pq`TFjdQwbL* zCs21bUI2`)u%RL8^wbt`Zv?crPABDo$_fnClhf1UHpa@G*lVi1a8h4YV#`NWY9Z*& zQ80iT%zzQ#DIN!S1ORm7k4Q-UfKWbrIv~+a0VE5cnF5GcVbRgVxKMcd3Wu;0;oc`R z`pX~qnMvaJV*<)-U(pzBs`5Y;yG-BeZl&$%4kT`UAQvDK{Ur+O)asBX*V^jAF z6zqT~cgd@X4{?nN9U|bf(>j zkN)1k$i!=O_tX9Sb42oZ7XLT}>T^<6m6D$OtpmaXx=~{j=T&cgtTB70$3HKT+XHK- z!5TFASdGzkT^v&@N?9l->!K~oXrP0)Zbp;DJ!$S~3qhOM&?zqOxPl;uOZa7)%57?nWaL@~?h zyHHQ6XFr?TG8LRC2#d18qi1cS-1C8ydX@47uinuR&S9$OFSjfC(HMXlnCIw8H{+?) zy1Aj_8BnrGXYs(Q#l|R2oO7BbHp57V84aSPs!)rFtTOUjSIXRPl{CJ0fiTM#3nTnb^BrOe3TtY%lL4lHt%s^cCyTUH4GHGfWCY+y*n-mrC zVUu0=eL^z@A|NzAJk3xoE>-mJPL)M0YRv$!I{@GHn~c8q|2wO$`t6IPynO6rk6HcY zaiZV$5;Bh=C%(`cp}vg=1Z?wn-qQ6;`0&qun(tMlJEm0Xpd^nZCKiE-rqrB`N0Eng zO(A9BhqzF(K@;vo5ih_vY@>gW${t{gJ+u*gju@X@Sin3xnd}kjc<5cfn}hfXmUcN6 zJ&st}S(#2$on-O3tT3=pSY=F{2=mrtiU?kd=mnrBE-FZxa86Ct>U5Mgb}ySb?X?FH zSsW~mW^v6QIZf(6zIXN%I;!ptuJ5Kj|GoZrigMcey1akA#`78QASyW)5109-BaY#O z!+7AvD11?(KeaTiVA2r0z3nXC*ZZ@K5rV-6W}(~W5qU)=AmnT`F><7r8$JL8ho;h@ zVj(F18dI}(Qv^;a*yv^{I?D?JhhEMR*VdayC;;L1gzJg}pm?b1f|P*P$t_1iGv#V; zUHJD3tY#dK6^Rf2sksIFhA?i+1U5f}uNNCzbs0j$sU8CBsrR7(y z(8q^|M)Os=Z~M8_JX0v(C8Qk#g7NmJD||T~b&O6s$(pzAK5E)L0cbjn)xNZO+UkHYG(wIoR5@q$*@ z7g8}}bybysB6mm?F^H>fi>!)&9b{k0DQ-U&0NmR5#O z2TPBFygXuKW8*t#H#fC!-wwx}_{QG-otvAU-V_*D)zu}|D0lg4Gjre!bR+jq)0~-O zBudQbz$zaKKXr0o2Z1BI+ntbr05E*Pb0(y@3Mk?CXYqY%>}+;gQTc9TA)R2lJF2Z< z>523Hy?;_Fn1-G{B#ai3>|)o-4}#V&TQ@p5)?E927-5>d?jr(9-jn!8U03#4U4La1A1&1Q~YFXT;A&!l9z`&JJqaS0eNdd zso;|RO8C{Yx%Y1_mrGU zHi$tu@u0|)n3g3iF3t`D?IdA=4d<7u9cruQbgSCxvW8yn4jsIKRl)G@@rxx_$T&~O^xHq`S1y|9W&6ZjiWy_=#frhIF; z(gTcTMUn zU%JKOR+Xr)h!1CzD)X?3Jadcs-JYDS?R}&K3Gn325Dhqgu67CxD02gIG+c!O2&3CA zF%<=0MDi( z{vw~P9t6{N+j7wRw8-p%CDMdZ^P_8_qO$Va-oiXPa-8`?^>KA!tzzcuOGjz&JgSBR zqzx1J@+0KI;Oh^$8J{%>c-Q?QcLoy>RSNjYCYb4Kn)^Zbag-jSdtB z017gn8>Lhb+nQkK11!U;Wo}B6^Sd-HV&oD+x!l@lUk8LHWIEyq>F*G$m$r zJ9F(8)}pBVO!a$L zzaYK}pDjb$PZzInW)|1R?R;O(NKB8c$}OyH$QcEv!5X?+8&u*SQDZ5Yj0p@kGH4lv z*@Ex-v8Fjn07xNv)s_a}y=*5T0Ro+?r|N+li!`rc!`n>#^xZ1rHj2s0Vxv(Vd^(+{ zaMjnkcAcl#)U>RuY3*lTKM3vG3F}*jY|1(-lUwd6U+$K3Jj3GF*4q<(0M}5Fs4pUv zC1$LCQ|u_mK11MQS_Hs)?vx7H{qFx0&6$)-V5~oF%lxnsOF6RQJFnTgm2KA&O9LFL z4~BS>JWZT=B`Yf^Z4s{D^IV#Zxuxa^JK?C|;3AQ?MLfJggfKIR6{CzK7X_7juw&sUN5oVnKjkoaB zbU-J6!4SdceoiJOCAGcnj@UVrQ5M3Sy`ai}uuBM|7MK!q>W}ylMlDV7?|s7ma{+dD z&GdY3K;8F%!E~$Mk37!sHLP6h4SQ_T{%>ABC+@k@Y~FoUQ1GSHz7W*`6kZUXL+ zI2NzwqX)VCfRg>f0>QHxlVCWj_)QhzAX0kle6ESzy@{vDD9RGA2=pjgi7Qla_U*k2 zWi*&9B5bNXI?a~UvE7$!3F9G*N2=IhH9U%fMO;3i$PmB_`t13Tt8I4etTLjEmiL&u zxI`a?6Q|-&*{slkvmoTHdJ--)o;AH@#=?>5O#3wRFXf=EG;yB7Ee}^=Q1e$?u z1*1(9k#y9k#!dunFYLJ{#|oPrXD-~CMfLtzUvK~X{7>JswL_^R(t!u?L70vtiPnr= z590>!{jL5WuJ+jr{}m3CQ@66#jG3qP6{`L-%850casNX$ib9rQB(=E5SSGW;WKu7moED`@Nwb<8`(PR96 z8Y)c8Oj&CksEzn3?=1lls9zXcOn5{JnX$f(-{WM8-jT>Lpd9D-Mz6zNNYf`Xk! z8tX$BaNhcQco@uJtLn}aKx4P8yu9=B&6D6}R`Y%X)z5u+d3Lq(i;IJMRTETCi}9v1 zDFRHvpPs-E&ml_e1ko$Lk0;P`hU|weHZGr}c5JfRa)V7y8|Va^+p_?Q_?Im>*Q&Q! zHnd`!R=q^@*U8^aoe@!06{^tPGV=EkfI_J%QHFc)nk`#G5aofFBpWl0ALvYt2%79? z0#27MXf*&2RNJm=)aCt5=@yP2MMtQ)eg34KGhmz$uu5G_nYq zkLvc~hOS0X9(m2tcp>mMe{oo-uD($?-$=*0YA18lflxQs0Pb_6d*XbzvsOP`Z_-3;boZO)17U3jV_|AaEo!fC%slJ9EF+q_M?~vF_p`}6 zSpr^vtlF1PJMf+!B)#jW@FXW#zTgrgyam}h$o+N~Wg)~5rizqyCu(VX=+hbF#PM(D_u84@$C ze^9dhsiDm9ThbYl3rW6`FLXj<(MD6MY$Vgld~A(W+1{o(_3Z zAxS76m_%-_;EyLIxUZRakdJf^XMh$(J(PIB(5bzDH1nF7EufZ?N;s=L#iZ8e%tBp; zr_9=Zy!$YVyw`KZNFDAQ&-KZ^akERlvzx(*<$wW79~RnfYcdBXURlKIT=;M<1sA!I zdaN2*8vFt=0xo^#O10_7gst9=KZ<;+Q9LO8nd6g-f9qAgBaD%e2}b^?QFsf?v`>heu`i+XayKvWgR*m?$zE zqAUO)ajYX)69XOlPnYn0XBcjjzS` zeCl=EL8bR8255nS{eY~39AV9~&kS^+#8;;=>g?wuic?NN?+5@>@Rd}f#w>UGAZ}jP z=IrTOPB$)rhb6#E$=PxCTrb(Dm9Ln%%rop_ara6+IWmJ*(Q@$b7JeY?-s99t5Yn61 z&_p_H3Axn5h(dB}5o!pBF^N;hmYbs}r!O17;f#V_EUjS`Nq)4`qs$HgFl+z@NpRW& zyIuZOQ@%$E_1x_LC=A#+0)}U<_}{33oEb1I4eVS1pS_Drzae5bBs~6~Jcz}i^%fR_ z%4cmqHnY?h9zBFOro~%))6YV~fT8k^g8vhIfmo9HSOs_wVa7Un$&~8z&|_syECW+aIz~VOJ|Wz#**oW3 zve7UBql2ab3%@h7l^ymm74xj+#Wi$e6E!Ijt%4W$wPkDZ*n$q|DoXnd5FBIAvia53 zK?8u^A|EqRy&Sv@fTM)$qAaz0&cXBrK!+hf<{aQvqfjfD2EJ-XI9Nnnn;{PV!i(w& zhY2z@LW&wdLpvc)n9BUb3O5+WlBrtUUjE)ImD;nmQFCThOU6x8Xs!vN?b~PIW22+e zo;f{_)=d85FxUxs8OiN`o0ys!ItGtc6Asr~5&(K8XDk8Wcb5PDLX}g7P`r?ZX?M1OcnH+@YyrCO0%7LhHSq z6^N+S-dUtCj%KvO*Yo|d>qN%weB_{{L{bx3eg^{^iiUw9-8aA=dyR-2AtcErv9WYy zyF0K)0zq3kUhWL^I-M7%#RdR9AO*(ST<$WG(Qz58JezT*hy2a{mHUr8`AkvEqE<8G z$cL1XX-qNWD(0u(9=OLh1%{%ix;#y-pYjL@Cwy!WTP`5}<&238Jfmc&^H?)J*3KttyK)mrfJv=@fG;>2E;QV1+BT9znG)gTL&X$MO z$W=h!q=$ODq>7CXYje^!wHmHkGHrM?XVylRdqI+~&pdoLi(rK5sj5lGR?12&%?tDEbh0B zrkS#LHtl67?mAtLeZ8MPtW=#Vyk`-Dz}R&>HO#A}rlh$WZDNE)%ac(v$D`h!U1EGH z6<*%$RIcaCU2nP@y-;=g{*@Qv^X&E2Xp@%r1;1!-Le)19W?%@jfSLZ!_!R)${qw%i zdO1_}RaDRk7;?Xyud4Rm@&Z=)QSQh07%;GFC_#dWWq|Nq!?jG;5PxINKF~D%C0yok^t0+2&)A2>6K|| zd8@~`rm11}3x}@NW@-vkY%V>3Z>_q2lO3R|?}LwL@QMAC^~%kxq-8l!PT#@6z}N$3 zzL#61uM6fcfGO56uD*8p;k?6ShHTJWtB;S{>RwN|FcQy{=pEEsIy zM5Hq1a$auFVrFy2k_z391Lxz~FWBfbQ=^uT^@QhJMvTvs4YPlC!;R>>|MgQ1i((ky zhmuImM^|vTM;Nb&)KN#oH}JhN|7?#$X@06LQAxYpkCsU3EyQwKDMiss={P)6J)s|11Ldn4*AelOIMQI1qygpg2`5bY@UT1ai zjgDr@OKYIW(H*>Xgh?4<8wZ$c`FNx@fEENDqxbKje`hTP##^lrLZCDr%Z+FAOHVB( zCgI?I(bkpn(dEKD@(~%k>UnYFYw^S7S#zEEadKk!DlveO`Y(BIX*$Z~U1-8>6VA7c z%#LX_jyjn`hq zgNG$p7$?~|GC)P?v7?;B7g;`MLo)3avSxs1{|ewvFa^;;l&!Y>jf4~?_;SgO!|%Rn z)sqEl&yTgOAcL`p1h4t*P96+om-k)Rf6`q9g}`vQ-8!4?niz27)12I_2X?=dYcBb{ zoR>>VdD7qb-0W<^daT?OAsa6W<~VEFWC`kyu4v8pbg^vxtb7aIufT?_cf#+*319+s z{5RlihSNyvVqxMGn%`H@LaeNs#ZwhA*%8eNdio0+iUSe3z|go@@Wps zC9gC`F+en700@?#s6ts2uoxn^@RoOt!I|PG0zHC*YR`(-mbiknP-qwJ&Ur1n5|)NT zQwx+j`nnL&vWPyzKEtD5 zbF(4u8CrjmZ=0Idxofc3m(aKeiA^6luXx)Ci`@5lIcqOZ5<)c!%85%27&aTaEu_cO zNwNj}l(Q(>%P{z?(=y>Gj>Yi@=oD%nhG+2mfc~`6UVc|L>OI?j6geKW@f3bz$u;us zcS>;6zjBVCTnva-+wdQ6hK@c{-T^aCg7Vy0` zW|>ckn`F&ry2w5u*!1f59^)r@ehwrF$n-foG1$OnpgY0jx45XAm6ZO*d9h^hU{vbE zozw*RDZoe7S1xOk6s+CkYwEs-)i`n1(;&xMeBBb!%E)i3(k2(q?XaE_4D$j0aewOH z)`ZgKZ(|l@tL5_=G!4egk;@{d)+2es@LEZQKahUSSMM`zH_vb*?;BGuuRSW<3?c#5 z-)qo0=Zm-{_eVLtoAsma7H_#7DH!m4tT!7YXtG;Br@O3R)5E3F5=Bj zm(vb?S1nv7r;2n7j$APE#Kf^E($YF!e3Rco*XJ$q0}abXrpTLZN#!@Ld>@^9))0;z zn`6Ogj@XWqK>9a?N{|ENM`?{{GZ|cNMVp7@BY@c!$N=Oiz$8J9vjmUHI{`{b6$z*T zG79Rf36!uSwfmIhc%lu%PPbg>P3X0se<3G!0H?5tz6&~ z(YBl;RY59P0{r-=t%jDZ{og}a%l6ilWL#!es+lQz?Y1)1M(P!%tVfgJMC-3hGBr3aa{PJc+ajC>dZr)Wo zX=1L2dw_;SK_W8QaA^Wg=J48TupUifJduZ7tS%WI3s$m6l|?Z%d`a3!Oy68k-`w^N z^9-Scfnc4Uw)%YLr%8c6=HYRB#SB{MSU%3#J=_9vvTMJQ*t zzea8$9FF0-4JRjGwdH00!ui_`8ud7_S82z_Q-^Hndv8*;{my9*GcB)jfwWsa0@)at zxIQ$-itXdWNv+!`k-SDNWqbz6jo+;+N~($@cFN~D%zLm+lrrUZ8`4kf_QtcfclNUX z&EjTXmtJiSERnY+L=Cz}#Dvpu31uea&yXCjh(KWYTAf%4I)^+o%|EcbKC|e#jE&~R zDpiwC>K1i34N(=c+D#=Ndo`Q0Z5;pH>bM&t83g=QFIUO0ZWEG>$FnJ%t2&p0`iu=k&p z>sWI@|JDPb2OoQ%Q4kPl-|c-kMcZ&=e(P3_MegX9o6gMlyh6jG&WW8gfIgX;9)Jq$ z{2rHqseh5Iu)Ykv*?fR2~ zlhaueA^?2Wa`op;9Vr1R?4`bR8!$@t8c15aA$>bd6u8@B&AfKjY7CtL#62x+k3KOj zFrGHT1dJ$Xd`@zTQGpxq&tK>vCoiYpzwX!WU1+cj8R9l1-xc0WgHa?>Qx7?;*|1+w zA?8*eSfhw>*pGAeRF`RXidJwHa4Mx|%mA|o>l*2FgVaF|5k^=L)Uv?rbd!0v-N|kN z0RD=3|5=H7cT9m2XuNw7qe~<3K~s73{7l=aWj6(VYtaSTP9e2HvI-NCWIPNhRP|rd z;?X(&wbJwc>Q~g>3 zF!rxeJ#-mXzr&>1#Q(Chp&@3cW&p8N&1t1cgVIh6Uc0Jqwi+r|*G$pQ)r`DfGDW0D@ z&uX4$&9!{SZb&}G0NZKTu6qp9)KXkUSMzjG~>5>gZnD&E{PSdij!}= zsnzI8q1|VZZpJF;v!6pO_oiIbWFBew1J;u!Q1)TzDn47P&6qeiQ~2{)_p-nzhOY`N{5* zWhCkp*}B!n_q2`L4iHjpp6K{RdkvfOc`Ftwhzq|WnM~BMx|u;mUa5ruhSJ`8{C?pN zL2W7Al!@EivcON|p+#rx_5-Six46EXFtos2QL;KQJR0RzOC!vP8o#LtF}3|;0Gk;j zjv$R=sSH4TXnjR)?eaZ@3A-Ri<8!@+Z+GqJJ%-iHO?3I%&d=wvNvr(2HayPmcYFBcTylkzv`u6>iBb2rv zGuth6y4o!loW>aiZ1L_`(KY;4_hl+w~-rf2{ z>@3=f;(yjZsbdaYgVpN-D`t9W>AzDoC`rh`I)7FM+}I9@`&T5-9!JbGsLz zd#L2YaL%3u8nM%gdVrxLQL-rOi$f_wvt62mlp+TguC}WBQycY1Re&C9cwYZ6op=;H zKSn(DMm7k{xF9@m-e=AiQPja$F!Zz)+>cKpuqeH3BTYl7=k0z}jWa!7bHzD;e`C?DCE!wgg{N#-I3$-uI;4eSN4eVa0=;7Ur6>XlF6R%@#71o_=|B%3(Dsj|j zNqN`l-F02lKAogT+^fC*5Lfr8@QgA?lGnb8bZ&|qfFY1Ua74$%+;4eux!^jSY}Mj8 z%TKyxxSvDSvp-|3T9&_58AQ<50vX(q4E_*4P$@4e=}s&1IAQm2d=yc}kK*f|RFdNt z$q}5bqorfUJxQ4@}H62PS@8DGQ zXPyK~a(pN@!sr#JzJQ9XwXe91bqNd@>!aoRqll1Mt4-X3dKbo!rtjaCeVj(CcNSAbXw<3accQ*ou zkZz}7Bl9PN8#)wsE^iC>+Ut2S-teqiz6gdG@gV}tf{ zBF4AWES-mIsFAa0IW7Q+dwg?n7>P3jkqVT55}ED&gJm?L-M*x0>6lIUc!A=uaNi0O zid#$PJ==|nHsbbt!N7a!|9pw^#n!&^e0TNw_TuE;y+BNAXrtNV4imiaZ&t;=naVoC zsp5v;^?TGy?(0s-Jy@RAQ$}-YNln#E34)LR1OmX4*(u0VRa;8Dr{}dQHayOx0mhU#Cn6MD6!(C1(3L`307rKDA1yn4o}aaS|L{`v&j7d(Hs%l?wTPAT-8Sa)W*! zNmW4!NYU!Q|MiPpLYUoKhW1vTG<9O3#zv#vJ^gZ;XV z64mE^n46PxQ|n1w5dk+&0L6)J`|8lLE&fHl#Kc6$leV`Bd@k%j1ar;h>!*`1d6UmC zrA^XTQLBYM)i#2oOW?diG@Q(}UNiW3y(|rS8~&t86AL0N*hw<$esR_#;lsql+#t`0 zBC9DFFRM_TsXxR*Y=0y9sdmADTqI*0oAnw&^cyCMu%J0-k`mGZ>U!`B3|axEVL78f zpE#cW@sZ%}k&x^G7UD13L2;v{!TepEoR@MXR{v1WO#i-lE);TNY>_it8lf7E@1*$aWqPT)d}C)g<_+uEJ<5tA8$%@# z$#MUslc~qP+b0!xR1*RX;LyCvG*6Oy<0v0@U->~!IX*v0svl?7)q$Zx3;SdfFp|+s zkS$tJkd%-^QmE}rQIaBhn-_UFwQUoD!{(p2WKIwj z>stvzH=8ZJ70))3IG?@xHMdMS%XMq8y^NR7ayR{$@Q; zbsJX)@mj({a6W2;@Cn>cYE$wmZ~b<763kJ)#ng6*I}1_^uRMMjSK8Z4ay%U3OQxgF zsw{jbZp)e9XI-dO7V+)ehOZbN2PcWkamOYoXdwSjVOIIy*p(F+Vv_cNGNH&=)R7qF zL43KL-10M=rFjpZxjES3I7M0Y>F zWy96G7D)L#KHl98)^^aq4-@l@KeZuq^}>Q)ufTZZPBr3$-%-Pjvt0bXVmuCnnJczT z-?|L7>^N#Fp)huTX=`gpx$YZT#}As;-HL54r~3GjW==_PX*4yJ)YN#ug^G&#En)H< zWjrtEXIH!G&gG*(-BtnO^^zT*Zbn;ji%eJB*ED&nJv_wFp@}IrR6{_kcPF+u0e%Q)^#6$D6RFNi zWUf-yA#iu-A{r%a7h6=e^P9hnY=Li4k>x>pWqIJi#1rOskOrHHO2B&)Ih;Qh5rO!^ zT$P744omw6vnRP{3DRYN6kiWOE*B+U1nX$9R5&eege|uLHtE54>U7S}F*0PvGo(ZA zLN1g)1O6OYNoKj=q4~!D(P?(xM{WN)xMA26He1`UIp=Cm!28w3nByG^8aC_M+wC`A zRG$BFaH-;@D_p-A&;-W<|ese(uyCBLY7j~Kf0WclQ|@ZbbR z27CLaprDZy#49JgCIDr`SFF6lpw$W_6POi*b)zIh%hn89_UJ5UTc@{q{+vz^ET(_^%Vy1O?d<uIu%cdyYm)oy+V+W|tU2lWH?HxTv!E3R69 zW-5{E>5i}GTIG@cWM5?{yrcnYMs#EtX{NO}R<43$i^)k@7f9&%Z0eT}T`$W3(CD@S zoki{g&<6wW3x(kCq|?%yi~TH;VgQ`U)UW(D4oa1CH#aIAXK@5Oh{3QQD*>zSPAzQYK(uSiQt6adVi62jK6+up)Vh-JV!|Ak>Gah;y%6LGJW~5=OBF!28iZX z6?LQ(kM}(sKeLpYxEJ#r2Cw@z-pn;Lo=&+-CG&1q@Qs(t%{E%Use#lbI@uT@aB3mp zb9Il8v~*Eb3$Tr|9;l?Ru1PEfy++)+vG= z?~Zw9%FbU=7wk1w2Zsk6tyc})2xzyYEMOH5k;WJ>9oFCrwQ$rQHf={f2TH`fI2xC;+2#alu1jJH?w# zXh<6Js$4Fs>W83e_!6F=-r$L*p6jYOp3Q?f`snH}`6;rkJ(}{-KGh}(ZPM-MM6{3z zn$T3`EWgPup2j5uaT~YThAPVLKfZqz0Bg`AfIejQc+?i zE{Kd9cjU;J!I$n|*=lVWnPZ`UcRokTrm)9$JQc^&JG8<3XUhiKc<8Q8tq#DnM zxoH`?*i`?ChW^U%$Jn#WdyAv#Q-kIEw6h9rfxhBv{xkJu%%1nR;m=QKnEeHB?RdZD z6gK*4KVAJu^)SrSW(o;jJ4gSRR$}$u3-+fCHl)6gJ=OINk-+JJtR<5a6P()vz7u!~ zDGcj1gAdnBRSC1Vv)&fR86-VUYx$6a+2^ulW`MVNpK2hswraQMUj^`@PUJv9saFc6 zeJvLIJCFqqSXydpa4f3+}&m)aP;4CgQ>kb>5g@69^FCh3`8=x>C2!fXHu+f3}zCiEs@sH0d6d$ZP z(y*^f`h@k>qM1Cci4a}CVjil>fJF*D$q136O)Fe%Q-wXRQ>3KjesY5rfK=@DM(Hg5 zwMXNy^Xi5>yxNUN_Z#mf*VA31l8b$dM*W3rb&rdq@sI=T)C9DfT6%O)0%jtu^1W&O zh&!zoYxVl#sAC&Gtl+u>!`trS}KVWEMJf(!7`4Esx{p zT27!hl9)s=zqoFPpB^&}kFTrc`I@kA@cS9I*pI@QYBxfG+u1a?=H*pgqStQ{!0!cg zWYmuD?-7(RRJr};9$V3dZ z!mym&>;JUH``ow!bMDShu>E4&hTmq`7jLRpRc~`jlNym$01j^5-wQRFXq< z>~?W<+5;)?jjh)a>bS^#D&(kRcuzag3e{`E^n1dp)VJ5e1<0wW0{scyu{b#Tcqx2P z+VzGK*&a3-Ja(;|WMoi)WJcHY^t5hISoW{gT51i(8Z`?eFrOi-uFI!EF3ebvGcwN~ zSGUddEGb0D=e5;%wpkomF5kA7esTi+#Pe8;Pzf6?f5=AX_iFrJ3V!aH(V-8S%2s>n z@mm;H%35|FF;*|#nmXj~8huM0s`ps)Xa;2O??!e0Y#UhfKf4{5#1B>DkFEZe%??SW zTqdEo%4+BypBUq#`l9US02kAJwrqEb*m&NtS2a2(*K@*Yd6XEnQ7PTZnb>ELS)088 zMj{jy15oHkrM6_l<0m@*_QhB;IEY2~v7`dc2`Q{j0&#KMJwt zssl=eRqq3^u?Rcblk%8ccVHA!3Bb=c=c{;bj=Y?A--cB@3>-V!_PuO4biX{rs6OJ< zk>4t|)!)ljFp|KR6nr+>Lqs%4q1@<@R*JIAEEPZA{&^rO(9T2Xsypq6E#JdvHiuQ& z_Tpnq@|vU4ivlIfYWOfw0jp%gf$7s=W7>py=*xJvBt}M|yIyrUC)xdVYjiwGb((6? zH|X3HfY@9((ziGrYBqSrqd-2{SSEj#P~dDfwR|ToRrcI!%?_D2M#HOcorKMmBoXCADHz)WtkMv{;f-3d2!=n5joz zny(9-4k>y0sKv9~Tyia!LpE3htk#QNO+r*@I3l5CJD}X*ep#R`D=Ryyn{t2Lk`{T+a9;;>Xz37@}yOofoj3ujN(jtLMu*;Z`LUG&Jjsm*DIP=_Avz zi0XTHz4W}iy^HjX1-V?^!IXE1j?cX{3=h<$(*JZfwv{s_O=XiSYWnwag z>{y8WmJ5uASY&-BP~bPUvi^M>88xN_MttFv86h?NDV&`6?&<>%YcZ^dS`oI$m~e zb?WltE?>h)OMQLpSh?8Mfq>tr$?_?ut_EtEV)t0=H&HG(Y4YHV#3FdJ3TA{jY(wJiyLb^;g?{|5ILiyqrFy zXP~BD<7l}>WMX0h-9>%3V8S0~8R(&Q2N}sS2g{xgJ0xsoAHt^-|LHQtLmL}ALr1|{ zHcD99uau%PAt+&(dG9wIO}^C_2YzT*4Z-?2?6ZLd&y1ECoJ>z?w9)&!P_+Wq^H5~v ziVDdhqP7@mGvyidkTnjJ?4RSOjzux}q~wy5Bu%+Z{z&=qRhU_SSnw7p&|-3GDu|3H zAsAv`Ud=u?NLL&GSJkTHvmX*%%==Go|8lU-z0uR?k7#q&dg>x!|ALw#o6mdGB~55B z_$OoP&bo|y|E!1yDZ(zZb&G9X7`XyIfXn#ck1lPZK#KCyO={J_&M9xT`SOTYQl8p? zm>5kjXEdZj${`1Ld0j#gv0&Q5vIY?ow$qdB z&t@6fd#<0fm{sAJi7?t=CTPGOre9sv<(i_l4UlH1eg5gKdHd)vwB9FzQFZU&xLZeP zb>Ubn=_zL~MWkIa+aFHYa2`3YaPN59K1Mk6y3=#BqV{@t*8U4qj$vNOMiD&G9hSDX zb}CRv1sXb178Vu_c2M8|+Wv+MN}7Yx($bQR!9YGV<^+j{eeGwx+43;|@0Zut+aM++ zAtufg!J~G58f zat+hI{y#)0K~!%ZVUaI4pieyPuEI%Wk&#hbSN8!01yqH1%r}@J*W1PUs9+;~3n=~xHpA(B>-4mTutL8FNsM~+ zk70>*)k<6=8VtS>XfYsB%WcJuM=eb%_%aEOwTBKJrFh9@54*IVSc-r@$ zuVoub03}mSL&G3o(`R=zz0VEl3DAW%aMrw9eQ9E%^Vs9r z<>BE0svu}#@pBmHHV*3n?aIcBF>wV21zQ#4sX|rW$BS{wn0^9lSD;%?#y9Wj@R^kU zox_5r=6A6Wd)o>hl+U$O)1#85p!ryDf2s&5U;Ml|(cO2aXJ9x+E%`WHtli>XTVJ0! zX&M+D{Iz77<;NJQZGADK2c1u?bC1mcRZ(GI+o;x;{J<0bcSEPe1Se9DH+*iy!S*7H}7#v zoeK}|e71--9FM8C$C1Ycwp2`v&eKyMC84%}m)F-_LV?!|goL!GjAxJFb`?z`1RXz* z%xPFzTeq2;c1PhHCGZ5D=qwZ1@Y)zr$GioG-}2gWHRntSZ6%nzHLmlEb#^Fz82QSX ze+C#cv1fZ5$a_zb$gf$JDy?kGXEu-@?4|c}PSx1T>T}*c+v#a{dCUzfR`zKXS zG0}WC|1SnYy=2LP zo=Ja$=p|9HxAZi@R%=-lLI9Fp1iw#TzVn^$t@c^Nw(S=t7>)(2R}|8z(0fb4!4cPS zE2Hp&LaP0QbKqlo>`MI7;6FH#_p}MR>;#@a#jkk0yu5Bs!#xJQk@p9BpOluehWi|W z@T(^dFeHxAVb#sqR`*d5ZZrX0@Klc{r?d0(LyNQ2sJOVEV20*^v@}9cL=<_BOyslE z5r)UrF3!-@Ih?}7Q@DP7JTjIeE-EUzE8FuLIfv$)LRdy+>9b_h=8L=o)K_U1ynX8& zJu5|#!(v3qAhQX2?h01{Bs4mltHMWmPtmyv-Ndx#2MVZ^7w9S)OyWQ;y1GMLr}L@E z|NBE{{>hcP0O4b_QiZ!Q5(%vDt2hGsaVl@UXfZM%Dcd$a9tG8F0b7_4w-I;AHIQ0e@gMxyhLZ|Izs_U7k!r$Sv+NLGE#Z{`u zJMh_Us;a7CAh9c=zBKVTSRb~B7CFec>VK@g6yxAn(`(>R{7asGuF#=Yxva-L2m<0p`Y`O7|j*ecxfn7UVCEBjb z)C98@&dz?q1O*2}{4f`4t-%$-%K#}p;HTCO-FEM}1OowKr}^!qA6cjGMXDIq;E z^O{2Xs}_|3dRqo>FPD?M6A-=ua(lE|jqzXtz(qWh1;fS;(g=HC&7y{a97LQAnm>;8J zG#&eNBara1Xp#7$WWEBrcnm;wzwvTP9Ur#)V7?|iPRluPJJluZ z$9QgET>y&U1rb=ZRY2?E4#d*!mxcky-RAX%_i{p>?~H)PGpWE!z1!a=vo^I!HP-V9 z!v;6af?HH0o5MTH5KfOMc?fix+>EC^8K8Bh%TQwR*wdnsOMH?l=>aDlR9f-!ZMr9! zq=C3JyYq}uO$rEnULEKH#{>iqU&^Se_JONpeBsP@z37nkN}XD0*?_sG+&TErZ96|} z?L^j&E`IcfH^3;OqD1`ssj^wZr=T9E)Mi`ir;QC&zE7msjQeX?k*^v)WM&dV5r*$B zqF}H^{uX=pSH$YXx64Op8}%XCYD-JJ2{#5{?(|V zwY4>jL?Ub85BWS)eEgxk$%3Mee^b-b=X(Vu%m%$E!eMw+&+392U%wd|_i<_&r8w9q zGMc$g6Hvc~4|>r$Jsmf1*^*LO$vRc6IS_`=!wLG5MZyVkGBSR-&6YCYJ~R@MBj^bd z(ZaQ}q8uP+;PerXFCv7>SWltC+5GKCEww#k{TTga_YL+g`nxyq@bCaZFc}SEL6zS$ zG&I5mPB`m3Fom^Ly?T9bF9^V>VQuOP-yJ9NJhF3_ z5@hq2%u|q=u2}rH@ytZCxfYTTJ`cxpf#hB~V$R+);L0*>brPte<*`P^ho>ZhghTPpb^WUtzO0w~O51d=@cA5u)cUvpyqab4hbIDQR*zR@|&hL zH#nl=VX&n`eu%h*=K$^SKAdzcR9g`NfLBh4qD;%potWo-hIUa_)_B&itoo`12(vo@ zeUh8&mgi6qzdeM*TZg*V(7g37o8?YJL6dNmu!_@W_`-wPuI_GBOiU3$!IxPg;pB95q2LX)Y)b32@Kf0ny>a#8b>9`qHYQT@m8Fd{*97j zbnz+F8w_gRvFPgRdH^jyrBn^Oxk--T5Ns|eYM_C`1!By!wMf(@*K^7Js`0;y1v3o} z4CA?yHdgO_cW`k+=?dp{c^)1HPfz0}m5IMF9sV<69Zcm*nyoOlS!sO{M!+W~EDQ@& zV}MwWjE05;1VZ;_Q$_}fC){fcU62)pz~mPD!)sH9lk2jFi97GS27~B26@9b`w$@qa z0flKDcrU6FFZoFsS;%cu@#vKufG9#DB53&dk{TL#0FjU~G5zlB6jJ!RbggiIxp#69 z;M4h^B{E{qxKgsZmh6B>K58x-At51wciK1yt=NwQ2F+}3tCMmy05zq~9xU250!BGWb&!9^r& zQ_ih=YOAV@=>xCpbCLai2*UJQ!BzEbA@DM{nNPd-cE`8r_A$j(A;AaL`DAC4f-wmyl_nnmZX%+g2?n~YK)Rojk}^F#-4m#^ zf>ol-uSD3l2}|R6eXIIXzumia;ML2Cl}-4i)YzXnNn{lv1)0Z2arwpG7*S+1o9$`F z`x$L;lb2TY-I4fP=6uo0H7%(iZU%UFbab?{yBoOa&#tbnC5S$C|DY$x>K+xH#0P~h zwxE4*q3>0EH0pd&kAH9Pcc36{nZiIzZMd+byI9RP%GVu^J=}pjxLxGIPy>I}J4{8) zllNzF8e{Q!{q!<0=eh57Hmdqt-KbXT`A_`v}Rp1NfH(d_LGbhGkpyAfoyW2ee zy!qR7yNi6BduNW%bB$NtrzWo z**1mIeOTLzj*Tq`T9`}D`*h{y<=jO{$;pFIQhzXk#pSTMNjm`3K_Ya6A#GcB+T@nN zI1cN^d|Z?u0oS`m%n#;cX31Qwb=J@WsM!bnM$~a*?G^}lRmu$l0k5mGKV`<#Sc@{; zZ(w0~J4X_)KC+BVz{Ci~#y%S!j*wC221kqKuziM2Z){8kf|%g_DQRgpHu|EXV`60G zAG|HoHB&x&EV%0Bz&#kr*62jIy%0JvKNSD&1XOs6y+TKW;U5 zotyD!J6O5SYTfAny=m2{l(6ET+0=0I9z{JFo6zgK88a_`FgGoG-DBIiyi8c6B(9Dd3a=csF5yopQxa!n95lGcodqK41Zu#a} zy`^H&?(V)Ifz1vGbH#>?(CQfzjeM!{dW4zv`1f^Q}Fu;btCBVZqg@9yl3L zXXS!9vRk@@eAMC_8MO&AOlA(ZeKc@EF9L!mPv(eQ`0T5AwQt_SIf|l%(C$m7KA+u z4$E#5N$irTt>|vUb;B1|f0{Nh3U=_X4rV*R@U~8nzme9|+)lvn3B~OJyZ|V>voBdr z3nxVVt|ZGxQyo2a_t^0Z_bQECE6-?nMy3bM43?F^+M)of>h?5Kd59{XI_%Xqj~cBMA!6 z_t_7+bxblX(PedizoWGCNg|CoDEfmpkDE4!1fjTiaG+vAjf||S@9KRaeFo7l z6Yp18Oy(=-HEg<{Ss8d6d@9R2`Z%M9M%SI#(-PwPUxjvu1Jngev7^fB!QE_nEHyu` zg$s)ua#-3NCuXRutucqGZCRZl;4nntQvt@`t$|+n?&ak)F!40K1EdpY2SG7%@6b?A zX=#M-d(3_-F#vkLCgalYE;=l40z}+o@CYBudU~pDXc%8uK=|zD*5s{D zDs*hj3_N%V3mAw~WaxcC6he^Oa9~$gS!Ks-)t@Wi;7ZJS>RgOJ>gwW>l8Aum!a{%r7M3w-=p!bk_T&{k!k;>&deoVpQ~NmGcIF34U61_XRAndX^%o+^1NOPx1DB;)74sc$+CuBos;rpmh;1RMm* zc+^+(Ep>H#hhcen3^xOr&f7dC5-2B$;2a}ms8XPiGV}- zm|}|{`Zuw*lYL`iA;R-gJ?WpG#bG5Yw|mPp#0ID#{q2I@aLDfk(N-M3LFj4evr20b z^s_d-3_d@*vmdu)mIu|>!zNAd5Pv=JGd4Z0xHy%~IBY-pQe_8AO;bQcOW$Eojt8qQ|o;cm4YR)j2=vdEXkFIC0W#C-+7I6HH9_#+>mute<}t)8Fg;#2a1gw$=2GXjq;)CSGEjrD=0>tKTVqM`@Iai5>X^=UH<(iW}%(A78j% z$YXUS{Fr6+OZ(Z1oFkV^6_tQK17Z#i%&0yg z)!AF7gMt43!ncROgyG=Oa_o&5rqsy<*F7GvOec!v5Hm8OfHVE^-5XuqZJy6Sl+@a$ zVqpRq4z6{6KI!DdN`V^Pxru;-g9Gp}Cl?o_#DW&xuO4=aPp6AIDo7%!pm8XjKDIktIE~Yb;2Jd2bSnXsjbrJHOnCD>otl zD+9a-KK(ST*#Yxn<+drmIG}An!N5h?Z{>@-_nLc;t&`7-4dtQYbqnm2F&5Js=hhg2 zxAADauVecJtFzMj3xQz4TKE%DGF0fAq4|cGpP%3LX4Rklnx5YN?&1eD=wN1Mj%P7O z;#jmrd%VAnJBJ5Dv%`S0t4fUpKIqZXx!jw?3O&qz)#53Zvj!0E*6ns01<~pm4~{dl zG%|;v_e3QgRYqAc9!CzQk%R4A*t6CQDyT*QQjIj4pV!j*BVJ? zq<0o$_y|pcfssjG-X+??VOJ)sIIK8`&P{IHK(h5c&~%%+wRyqf$rb=xY6Nz~!`7%^w6kl?tFNFd2{*4ClWK0L$Q@ z<^e*m?7Tdioqt3Y^}FP`l1YAPX$Ipc-~|j=aX|2etnGUGW+0BCrfz!SH^8nIEsypD z?l-IaNnQ7``GJMYPA~N}$t3BESrw9IZE6EVsiv=9yab6YFw^eRbPs2?mSdW`#OfE1 z5ps{Zonat3NUU#7Dr=K*bK|5)^+b>AI{vY9bo9TDM{~=O`+-I~uC*c|Vrphq^p!w^ z2G~&(R!wpEWn5Mc1*;oJCPPC*VEN8_Ny0A@uI<^l34|oULa<;9xbw>ANdZNm=9jdy zdQT@?9s!|&1`0nj@mPFO+?1^QsNC=GS^zBwp%WJq(;LnFhGZUt!WSi+wHio~`iY%A z7I3iPY-UrocR~h0i5+x+ddyUrVZKEsFgV-j%g)UORQ2uGmr#-}zRzH7rOn%XsWG9X zhq9@}tBO7VAXX}F3#4HE#W~bm)2;m3sq=L+mW=rVe z1T6JV%yn0eJ_4q#zpU}yT9$V)r#J$quFN2=W#cb@|F_Ofsn1W0?C&rPI4-x4{~- z8ufvN#YLyP-8{oyWg_l$1?mJ2O9Jpf0G6DBd*Q&HjQZK$p1tLM@pz{42O2m-B!HCp zKqCBo3k%#UF;IaDl%306t}UAHk9gQE7EFfNm#{&e4a`gXuW^D&UpQ?Uv!Sm3=d`5g z0hfl5eiRwY{jc>Lya77n9nS*XEd{WxATOc*%Uz4N-UQ)oSen6f1~F`xY03XC6M{;& zEe~k)Qhd`>>S|H!c(*Hi+q0G*Cb*ebV-O*`e{wQ%_;9$FUbSg`fC2mCZk2934Sf!vsPDf z>F=@U#6&`AzY`Q&LHOLKeq2;a)$({X4`4!=w;Gwy@$dNfUXZ^Ml8``1b3KCx^!aXO z^Q^fMXpV<6U`+bmjP4JP0I~t@z3_Dp7c}`Wc^FNphFbMF!VvxpWhTeRXOp4PBEB(O}%1BsYjm!FEX3FkV zY<)@g?nHC5Kz~bGaBQdr2BbNp5yiki40Hti+|j8x8ZnW3)3R!k!il&vKiH$k7GwhR z^Mhjj-r<=2WST-Bb7V)>m!yY4$VE7+lq2H7UZQMM#)v^P!$4>Bb|)(wAP*QoZu1!$ z=27uG1u^A!?3Bc%>w?HdQC77pY|;PbA^2FOT91xAYPQ~dtuqjsYI1YFfgvi+vFV`d z>ghR$76e!<){7$@y3%t(7YJJO2NVUO5);J$!v|<;P*Tu$4GOuqBhu2Ojf}`aQ-C2j zV_+fCvPNfervEBXlS{<67S$~EXMPJ#K61@#GG|gBJD*8T9Y9=1!&~4c@~Pl-yQ^G0 z$pWrGszw?^FrfJCqV_HV13qZ?vpj@AvdSr$u6nS+30C!`UL%RjZCB>SSmp&n`=WTT zzncHpSMQ`eSOU8f^*4_$@3n=;5)QAmx09qim&w!kw zCjKE)4oYFqAvOR~c{+Fa=5*Z&1kfpafj@|f-{i>kg>o$Q0&|1S^^+88i^0(rEmD8gQa8ys!}f>Oy~@qSkr=9qPcmh!n$R=- z+qR$~9+eSd^p%PZ5uFvgpK%If%$%}oVXR6aJ=1KClp4T|&Tk+Y#n5zty0o<9de%q5 z%E}5OW50*+eCx4X3fX?)hZsmaAW*$-ltO9}p^|t$;wxP+GE}KZsM0F`U2no!rZ{Drzp)P?c zD-MUUue=98@W$6IRc5ng`u>utGBOdbyKH|0fXBy|LZ@D{wzVhb>e`r<1jw^Dq?B9K zl~wGjEd3h29UQRAIXDgsbj4zX1JVv`VlfyT4gw3juGV(f9Yc$lHOKzCa?Y?Of52VGG5vQzmS(l-@nBZQR5U988NLdR5UGf0rbSLIdW)B2`xdzDUx{^ir~z<6M1<} z{asFKYJNi&i7_rvKD1!ffyjHi5rsg=-#DTb1#itKnZOK`-VH!Hst-V$Sui1y%wK^! zFF(I8kq;Wi0lCnu>HWaaP%^MXKt&($Z`>(TeyXT~7gRYpIa8nGL3I+?s@{Qt_1@nk znoIs#-*e=cOeZLzCw^-<1(e!EgW~l#X41%6G&HDho+{tmM`EF;3d;WV0m(c8xaVOo zpYeRr53%s}O5Of&X$T}-@E1vmgcyjvFfFF%vlDvyv0M#kEIwMFgKN(6I1F%lf%={3Z9ik6+t$Iepo_^ogos|5NGI);6cW3F z(Ta2M^52wc?(RKNsG4MGECK_0)~2xy{!l1-eA2$jkH&{!Zfl6BLrYXP(aaE}e0Xi#z+m557tii=0Nt$hQfwW_RUSUfC2y>!(JodW8{8%;60ojtGDH+SjNz^Y#`0$rpPz!cFe z7ixvJ=~&s?_@Fd}yzbI4-rA~&PZ}8$a`(53*3zY1pyjYySa@Xx7N4K8`xSE9@he@8 zg%g=;v+Iq8MH&Q5-+jfjT5YU}pJiKja%w}d7m;Ae# zxMZZHATRsb!h#+YVd;Z^p&}yWuQZhbe<-V@)D5sSjCe$dT9I(xc*dv+930#yUS7Ny zF<+&Eu8xk5t$Tbh3`JD5ugcl1z0V*Q)8=pEV_|?<^YDgaKpdX*Yn|C?FrMpO)UNB5 zS;efxkNi!3Gw^2r#|S7X2?J&QZ{L(Xkl83H1HeGa$i&3{i`{YXlE0t(q;>=!>s%~Q zTijd#G>bL&nn(Uv{=1W0FaaFB*SoD-8YDkTL{LrY6LNUtve0MqR) zzCbpqkn!*Y`}o4x+);T8fx=p`La+5Vm{>PSQBin0I=U(5s6JcCm)djS>O;?PmT;)v z-Ni2Ii3@gaICg9IVx75E4IXYL$x9Q~YK=8T@CotST)&j&qhubNFtTTz$=KiD7QF7d z_%d{)fO@Y(pPa)1UIzLNX`2G4_S*FA0f2!-oJY z5e{)sxU&KF62$VO|NeOjXMyP<7m4_90YM=Ob{*udOsdoxn{uAN!;SJy9diCEDDbit zmAxrYT&ynn4bmdXGCDfxY=$(SFB8PtiJS0eh(X-)W#i>>Ik>xA_3&VMe0B_piHV^Z z5~!H~UG{jqju9Xxv;iYdq1iS?#h9!l;4=Aw07byWG|C-Hz?TSY@B02e4StNWu8J#` zfJ%IS#8ZaPn*n1gpB?Pxn=^4S>C{Rp7cd+bz&Ii>;k0RYcO#jz4Fr<;B_$%bsDcJU zuR&djK8UGOV8MJ43&N_zhU5D8fPer#vg>!2NZ;^q?$&`SFE1}Rbf0K>lRt=xA`tM_ zjz1c>9H#O(&;yHh*h~*z8xfa%CK@107Q_CJW{)=eypAV24JFSY8*Wk5;CQOXMgMLz z7z7mCz{+4HNp4`I7%c=~`E~iPZaE)TSc!r9Zz)Pv)(LXT+&zgm86UrvGBRJ#XE!!JUerO2j)^G`vXJiX&63sfz)Zlt^L?2j zWt_6MzAh>yMb5>AU8F>V?>_x+(E2pY!VCDmo0AUY{~Y-2S7g41Cr17$0AIJA0o73dhy!nWaW$dW76_W^rHPdL?VGXXWT9o8rvh`16jv3z<)G1 zHy=)+3trHoD_%bApErRLxK}4_ardAo&OpW0q{dv@OV7tj5WF`SEVaz7?UuXns|XZJ zrDokp_zt-m7-V~^5&vg3U0vPW5||C&$>&OBWM+DS{2CZ#+uPrtSz7v!{Cl@KJ5PNb z-~fgI?g1UB0byaeARPd59^jLX?q7m*qUa}JS~$zVE}q;AJp3vwEJWG|4&)S&FLLgC zA6uR-ORQ~d8aB#6;qfUzVCOY0kD*!6-k`kd>R8L^!VJLQj^{~3b#=8ST|NkM)@&J} z4NTz~*xcRfil7(M@7VpSt*f^m;3|3D1-I%$f3(3T@6`W=4*Gd=>igL#$vHV^pkIR9 zU}f>&l^+20m@u49XQUu60j9P@#>DuJnq&j|KQR#pkP=Xn2OOTN>h4M`sDIm@FlBRh zcL!c`_3$uMso-1I=*r)|3pr4ubIs?RuYrsbmXnx{$a*7@P0W6P>&L_b3M#s(b%eWofSVLbWJ3IRya9>;9 z?O(CJB36>xye7M;3{2|LwEKd~r~_zDRZE+?zP=X88vR$IEdZ8db#?Xi+y9Kj^H;F0 z+_vEK0Rr)SYnY6m=$FrpV?Pb`Oqm+I6Daeh`7Q|j-zNqJWWW&=Ca^#) zJW)o5LiB&F;!_XD9suF1?8n8%o?Y=ApEM|I?aGlS7O+_!X@KGtVPJc4IV>tw*>zfB zawQV3ucIcT+x3dgspJCLgw^7IJNjweM3Vahl%R8IPM`JxH+3^ zAIEoXLj2|F=%@5I+wZ{9D^PEGfWOwMShu;AqzV{dK+I3+_t%!`_YL;1{mb~uZdW0l zTw7?zpjH{sL*Nz-IJNzHI%^y6H!qq=PZ7*M}w zg!z%h^~Ore@yUs+`Q4~^a*^4FcG@vn%}q!ZZSQh0*?YNweawlXWkdL&5AE=wIBY?n z&KP71U^q2p#Vn?DVG#)rS7HJ2xvr4H|Lv;mamvZT!NF)KakCWzd>8onf>G7h5R^Fa zBCg;U`V9k_`g-uAj^F*kJp~R)Qbh$zn)lR4@-u>pFl_B@m+3>t@U*q#eJz-AsIUUJ6xGX)YllJC> z&1OCSe2N{E?i%SiufJ&H)RY+np-fSWCEr1-ADn-0tq$iYC_U(5%YF+@Sc2}SsoM%g z^asmH5zb~aHSk!GyLZw&93@*f8GOm>o10w#oc?F${(HD{ZuRNjpi7aPc?zCedvy%x zySnv=k*bHFtkpNnwZ;u=#LJ}f9lqHBF}}SrK;drRwM5Y^-KvB2>(Hl|wJnhelG6k= zT3Yw7WXi#s0bGo!tgH+(b>P?G)Qch}MO=dLw0w7d4l38Z*Kx*Q0qPstwUf7@5_qf zpVfnqtk=p&a^3s2gtG(#qHUY?uJOC*K2_;l=*>i9&J7?O{CZ}^ofJKl zD7vDJ=5ZkQ?OREwtgLLQN&DsC@?54$fP;ZuP}-GN@Nuf+sjaaUAIv5AeUNGaOMCx= zO=>42$=gBB>`L0V4v_b{fx(-}!cEj6LOuJ&_QT_kiMJUq*%obIYdnrj{Z*js5~J?; z_<}KD5D{rbwiN|6EB(1j30j&O!*PLuLC(*{0a3ZeX=!1x1XC~R(F7!StYnpwXOIPt z2HgVj#<)dOYi#5je+=wa@72S8Pyk==Zqeg>r{Tm?rm0ig>9@KndJ!0{J3M7r+6gu| zUZb&wEO?hL{a(yYGlk4kX>x>;hNepy2z_ruCaztrH|=}V&GS~#UKMCt+q`>LzmZqg zk+B@w#XeAcXNv*K^3Rv)>gpShIJQyx{hP&Km6fY9_>F3FO~<~Pn%<3ll|Z7Q!0c?Z zih|>>zUV2OTr4alY+;d+Yd@>=K7JI^(R4dAGMO0Af3`m5xec)k;=&PY!jN zmdzeN4L&cuq1yA7)oPo9;6#2)GWbgD-oPLOSY=ucjZ{mr>plg|#rvmp;sig*2i*q* z8hbq+^z?ne&&er|y?F8BHdsk*enlq~EcX@p2JPD)02d5@dWwfoY{iQA-qAWi{~Z2i zVN6N^^l0TLB(jG){sJsq9G~JBcVEzW?xEYE#Lz^;; zhWv563tVxpf^DxxXwKds9D-7(04SHwp{oSpWM%Iu7z0@&E0DD^-VMwc^Em?+HJ{Y4 znPdRR0pOWa+$SD&){t#jntM=00a(XH=(0rh#`U1Q7wWTX_FcbXC3xhsUR|Vd1%Z|_ z1o>9D&vJP9Hg}cey8TK*qbbmNGKj9QqBIAKpgAZ#s^$Ko zpL2)6iIU=@boal0X}2Z_sjIer+CLBY-j)Ee{&q8lfCUG6T;+{J?=#80-qXQPFpMzO z?KdUNoqAdi!mxi%9a}+b@O5^Id&Zfe{78-_#OLy|%@&uojV;IdhC`Nvyt&j;qIWJI zb8@C?_b2Dij@L@z61T80n)@DyN*F)XL9xKV&|)LS3_4(T-@h}s6E{C zE8{i$A4jdZDY%mqP$2J_RtOENs7%L=Fd0L0E4o7c^rpHzB}!8C_^*lX>$M3`Zrn2O zp#|T%b2}(YlpZ#`S>o(oZj^p40q_Pt~WPq-+nsAwkKk z05_J()%f19Ne`)_+2YTvlaqO|?3v>dIy{G{?e_X}IZtc;_Sp}a8ZW-hGX^Y>Tw0&( za+y3y7=Kb<7GG6UvpsAaWe3D};o_(Ni%bi-jeeePCcVt?Fo(U;5g=3WsQyiBVN1C7 z#ZFLk!k+LUcCT^WQ>NaJt2&qgeB8P{y zYd%5YwGHhf-WNOOjZIA~Y;2hzkf;FfzE8Zhu5NB4adEM+#VdWvIG1qWea;WRQ)*W6 zc2x%0SG~kkvH}fmDE2+n9l*Ya#07lSegKgi&QQkt%kr#-ZK@Qcm`B(PBfj5Y%RKT`IFA@U%_&LXVZjTxQW;-{@$o^{wD{oBOZa@!+lQWvBq%p+k863zRii zVR9ybgisu?*L=MaA=3mRp9vf1_!8q*;NIVplJYOhFDr}luG=MhQek}q0KvZvFwo85 zLk$xf8|#=G0V;5i!;NArXgqwlIcix%OiCeVs7maQb?GKE^8%|V4xP0A+>Qi~0j22g za-@wh^nvpA>r>&FN5{l8#N3eOhE9zb+Oe`vnt*ih<4>&t7bOz0{LpFds(kw9SaBrt zfJmX`5wox{jy5a&Erdnbp)M5!8qk=&$;5OE9x1A=s#lZ{7R{*wHV1%qqQH5eqxg(I zeh{Gg=sr!F=LS|>_DjlmUf%#Z7T1qo=59feMrB$Wx{`T(=Y_$=w?mxSp9Qp)87FJRfcuxTT2KzUy zH693G5s+VfvK-=ET3Qmco529Y&AdVnQoH>zPl3(N&DFJ8l$IXu;zO9IXZ0NhGXhh$ z=*RQ>@P~IdzM|hfUMbbJFb0UQq@={zIxi=uIMPQ&Q*$uO35PB@3cxymxsu)2s)FGm z6hjLTC22?%anHZ#L*<|3U-g`uoRl-YPg0w9!H=VXN5U(8H&|Q@8z-7JDbKFDl{Y0f z@D~5`kGS&P;v>(P3qRv0IYP}OI5RUt!DmjCo0}VcT?_?HR&7)&0B{E)qRSK%-+;BF z_$>D+^~dTrtaV2_!2X($Qd=^)EE|6Bx)>>;vfGjbN{sd92kGyp_Uy(?$If1Dn@#TK z&qTcucgRVPfwNrMgm>r9o!46dax8e5u4jio1L&5B+&ivq2?j&oTNS>*f+Fz@JREA=_C#-7On2vY4x%H0kLXZhUp# zJ&_VD@Mvxoy}s|JV#Q5Gaz;bclPZi?CL>ST-Xjh;kj%DU{%}hpC-|RPJ)+xP| z-V4jE%P-UYnf>s%X=!PXO?`j?glvXi=I({TNd>SjayM$w2z48kW$A_jl^hD4>Sq62bB;Z!K1mYQJf;i%=SbSn# zRGF$}-8VBg5MSn2&xdjlE?Qm84h4+2RECD@s9*JB^z(ndXox?sTG|*pga~@Gmt<7< z8zdl*^#TM=%gBf|+ZNRZNii`vLS%8-0N_QN>UH!CWNovM2i()tjJMXeF~#M4noTb< zhY=K&8W6offq@|_ew7+cnd|JxHzc_zt0nx?E02W-TN!L!O)Z@ca*CpUzZs{=uQfC@ zXxF~r_u358=avRmi8Nm`zkmQBsRUJ3Ro}Y0WF9@DguVlihye?Dw%_#Pon;`*1HVb* z;I$qw(tZ}$-W&jFlg)EdZnlivtAv~a}#ZU44 zzJ$E)uu2*39L_IOB)ot@kR z#lQ)J;??b~ElI#6OuLdpDJ#aYV&wXB*EVNcoksR+_b2cm9a#~3jsPs%+{!8dcEW{| z)9GwYWAH=}sq2zi4J{OPQ~n;~^-PbXV^l$P8&2w62e0wOnzG1ve_- zmfT=sx(H|r5bo}Id5HqDp3%1mSD>)2%p%SKDd%I_caIJ>1XMxz zjbk?p3JOpeAaq7Tpj9^#uU`Fzkrtz2ng=^H#5ZB=s@I!6u6W(?vEH9!CfQo_^lkS0 zJCf@DI0zNpr{WIA=r8d;sp>o@uAX^dUSkpQC|yM3j`b)XN`~kPoT9@c32AA8@b$N$ zSe#)kevm5zZb}5L6e*A=00LI%EkQ5*pIz&)Sw`Ca4d6Tu&Z&UlkvaM98tKxZHg zJwqtD13}o=0JL^*F??R8Zu03_>vloAI&9X!t6tk*HQ4JsZ{9TGv3)?#RK2&E&Bk$! zDC&N#UKEUWlz6L_8&FYEQ6TExc5rmm*wJx@ukqu@kDldSzuQR)K|VfR-Zkts`+C%3 zUOGMHP90qvahE%K#(hX_~BGPbrdK^oNFF)CP zZzLUyg=ZG-BfY{qwZ4oGgV)^L?f~B&W)%6ujSTm&IA9}{mD%3 zc|I)(z1>ZxfRGSsKhzUv^l$Ltcv5aK-<1ODH-l`hDS|j^*%SD$8lpM4QLjw)m4ps;{>Ae zcg{uM(=e~tcOOu0o@!qt&~ze*$SJV(DJvjoIg*cksORSO>2ZOe*NGrltop-cbN6T= zQ%*tQmqQ;dFQZJ@%MzJgDFHOFQ3M@U@;_cfCl|y0ZQS#KQOG%?a{sZX0RZ z&t5OlPWK6=crN`Uew8F>_pYD-)^=`gt~^=+cwmqQKsE~gdZT+j3R370^V!MpK*`)| zQFc9kF*FaIKl0~mgN|J&{Jxp+0@Nf4&mIVs;CBK7CY4-`@<)b%ihh2~0pv-n9sl2& zH{;|XFNNxaaSHaBAS9|V`P6Q6=AOcK&tMvc}EmsUZ1xjQyBH+`wh!ob^A zR$9uxqz;YWiBUUW^H&1Z^O79=gqI!94-|x`fX#y_9SH{t8+^PA$|Ad@rroJO=CdVk zvNjKmFc3kn<&KW0KjpFV+|1k4MY;B$Bcr;~;tGk^^W!~E0{IkZ z{jd*xkB*M^xD_nfAQ-}jOYhUIy0z#ir0uPP3)u4aa!19s{99TzG2)80(7qV1(_X=@ za{O|q&!UXzJTYK@bJI6FJDUT8gpv{`RN4L*vR}hOzEMg_jwU?c-rkn-@VE~9065OY4~?r|9uOdIee;N-xP3awgN zTi*j^ymbxaTx7fp*u9A2A3_dg0F6R5a_6&Vpd?zBnyc*I)|MZb0Lb0+lcq26#KHOO zO~(==M|(LmT{Dj^!2x$B<2w*S$)XokG&BO>US-m}CtdLgu;aSlsE0KEPJxkR!gZFw zYP@=2@HhQs!?Vwut_N#K9+xG-$_|~weR^U7iZxy>U?B$f_D)w?dr*sxyAeIvzXo~& zhm!+4lm&?^SSk^dk~YtC(ZADs)ouc0ukuy+q`+y}I*hfU0)+4L=g)#Q`1HXG+MLhY z8WdJUQvKsK^Q_adYe-!f3EGs&l_^MlDSR>#(PSapY2@AWyQPcj{JFVRNiA>g?fteV z={MdpmHD%p^z_vuP#pxjOt{H%yDy5AUf$U0PM{NI^h>iO>h)oW3*j-IVV1@^lw#R$ zKGt9Jt;#x;HJkL;R~i4um_$!%eAh7{S2~0 zrF?UPkcf!YomtZ=owfHCL1dx{eJZ^J_V*D)m(!d5kU_>H$*L-Z@9GUHUQ$Z_vcIEW z34KS@Ya!l#uLm{~-As7!V+s`z8Y{TkuR7)tE_@@`G~Lah>>w-30NFMUOb!?_nr};I+O> zx?$JWZ~je(!GFn?Jjm$p#|;TF?>RbJE<$mWkmd5zp<)Gf3BDBcRF3_u3}*+WPX*)R z{m0(%B3AW3)t;XnYnPfvyw1BJ%QGloIG!Lzd#4toeUSmRzc*I|6|P;yvaJ%W{Zfdf4`I@XgYPo&j0qe<(ZWW|9;Gnqei0=184&Km1mV^8x6kaQThn0-P#<0X}J4J z7{eOoR!f4X2d94B%KMMsVt6?zH^xK5%2)fy<%{=9XNNbOcwhBB=&>l-DrdC!aU1Fk z`UI4X_gPt+oA)khsj2xXzP*hz3bOL)_ZA^XAHENVxQL4RrUZY&@J)n`LR0O2*Q@rf zT@RL#4;`Pnf}S1?^wme^JA#9QjX^*yQb%`(rfvC$D?|{~>lffJZgPr>W!4=cW19w`Zg!x$C-QL(9P30eh-%zLpwd@HQNo@jjd?IwSIHz6FNf0-}Wmr1QjL@n(3~H4<<1-bpIeU+;>fuU!PlxUSNw2I<{ui2 zRz6ptyoyzo9bRN9?U~+dz5#gIGz>?(l|Q)mh_G(F_Ua9p$mUOw2a%Drwvmk!K^~hT z>|)esmWDH`Rj3oXIol?j%lfWP_1JYf#+_-Ft7zR)(T_O|=_W!8{H}<|;qW`X5^Z+5 zJKi)fY?B|_UO~VWK-PhL28H)T%V&Mj?@f0=24Iif624?{UAZ%j487pRLgz<*T1g%N zVZOrC3KDVOqlIb-Q4B^WdVxkESk+LZqa0kGJ2+hBRi^#BA*H)CR8(k(X|9q?Crd(V z%I@X*-auGPZ1R3w&yShKwU_QTQB5Io1V&8*f-#RnK2z6Pd#ff9U#+|2-}%M9Gnq6r zceb(W{bg0ITn*N{+nu+daxCS@>>nNu`JwOO8{VnV`Q{FZYEzH|T|#C_ZhQN{PjROG zEy>#UfS<1}Q;XSM08MSl4@r#Alal~B*VFRyzUm&}W4_;PbmGx2?aDSrOH5e65Sl{u z5|#wDY7=hr*8owHEnbI$J?G;`zoH`BC?z;x%>;qwAcB11bhmBRwHC#tIoVD-M?n(B z_H**gaUR>Kga=-ZnS}%`7>CC~*+lg87q_=H#ecH~R%Lna5oPu+{Cc@y8cLvbDGB1+G`0D*7fdQ*SzI5X^r%ECjNc4-h#( z>;6G@78LlIkRNpK!ri*(${yLa`Qp|Dq1cHJQ>yC)R5b~LKpOWIo)Z|GJ{6A2Vx^^} zzW(r-RFEE;Ut5cWN)TCYGl`W$s^_sn+#5Y5VvYI68@~my+TpcvXlmT2uaY>XWm!Xq@*i7a#%r3rf7ty}+CuN7!Xe+R3S`^uas2 z#({w=rDol&pp|{oxd+q_qJp+Lffq*aoa*MAZiA7lr(8b8v z95T`U4NmXss)dNqeNdN|TH&SUo&t&0*}%E&Ssr>dfB$T*>5U|hUt|x_5E{4wok^Eh zf8mB=G39E!Jlvi~!4nkx7NmP?<6-bLV-pgDYxt<%gSH9YncJ+3I$yiw0$ATn9TQOz z2{m%VjR$}WhWB-@@JJk=;J3>hp4Xk^nSYN}IiNg^II)`{vCr45rDD@6l-AK1aQ>V9+|y-nvC1eyov=;vqvXh}-+jgGo#F&y)J|H}v*I3Jy4f6g0UFC8d~x30YD` z9?b6~Jr2ildI=!tw~#2`^#wF`29CzJ&Q6e=6_j?olaOJ2O$S*&pcyE^5@aN4Z`&6O z37TT5mPU~s%XYkF*cHk&zklJTWUkWeYS*XgqUcBp?)^5ofG z1ymuffZ#_bBwR#%>+Ws?`@e7y$Gf_1YFYjFSsepAANp0P8*|&Z(kf+LF?J0Y9bq6Q zz){O31?H2Syu2jH4+5@B6O~+8QibWpFz}5dU)my)Ci`b$fT7T5 z-Ma8oCI`xwi|c60X`&Ip{6m)O>ga6b>7U}FrmGD-%A~u`8fOHE5x|UX-VjYQGcwQ+ z&mjwi^z}-fW`Vtp?|+|-k2cryOY!s85Iy}hBSQxE!P@~AaTO=8aHMrrb2XsE>f-bd z$!UZC{wqP_M$vn!JD69#vE)me>fK?rq!PNeyuKW0cjE$&n??u;>ox5o5zOoS6 z+yidv=C9YvyhKt`Z!}n2z?GsHG6@f`-9aGo23`*7xf6gk%m);e>*xP{pkG99p^%g} zMyL1pGa{Y6o)K(4u-rIZ zd=P@WdCxKNy5GqaYz;P|_o|Y4@ltu38)3I#iO?3do=#cGu;6xB2(7BKj1gU13JxK< z9!^E(6VOYi0;Zz;r&Om@FYnm@3Nbh?tXcEZ;k?c*@Up=`TuCW1-MT+Vbz^VO*&+fi zPH{cGRO=_1y#@dTC>5~q^IrkSuX1a^FTwW9ReUTSebYnN8ffI@D)U!K-P!-eP zS8wzT<7-+&N9<2qY$}!(!gz7o=GuRP~f4FcFuJf8FQj*YZsMWwCbE)GW4Z* z?5n7ui&ee~a-qHXjiETe$F=m_?)8*IbrF6|c<}y}vSTpJ*npaTw4CJfWmKeM(!>A* zbp#}YAFPF$nX$vjxtxveY2i0-JCy-b8Lu3w-4qR+f4>PaF#&&Hn=I{D*~rg2B3lpg zVqz@CGrB?;9rC6GrQ&dcSV_DpRW2Z~`@a#tS2a33aqU#1{vG}kw825tVPynY1{f2m zo~TS3$lOyzm%I>5L7cm27xHxCGexpIhooyXZppNTbnvmEbO09QgII|J+uN$mx zqf=1q^ZX6?sJ~ND-5uBEah9fSjl`A)6-1X=!nB&*72fUdsyTVSb)RTHw8kqX^u-NH zY3W6|sT;rG*E4p&8+)qe#R5UM;`0&KErkeExSlfG$6h{Gzx6RZ!raQnH{)l3kov79 zs!nbVpkWPjhllj0$j_muz~rdYzu%oUg^R z9LYU;nf9Y4*qwb#^eED+Zn2bW%@&-lxE4j$lc7FZ)U4gz$oY`XiK89uv^G}${*3%j zm*~zWJlFhRM8a=pqA-6T^xrn@Es&a?3yRURp`e^2oRXLOP}hK;l=r@^K31SYTSY^& zFSoYcNRct;cI4*%bzBiwKkH(wy@0FRH`)sc z;!9irER(!$4}cc8c7bO9;9#Q(FCBnwfNsO@$Hv87>KoO^@<#*8cF&?CpfD296oPta zdTwqY^9&g4hTIe?dU}_DY?{d`TS+E|-8DgHit*K`Hp+<3hhuc`25W`p08B3@YD|2?XGZ+^Fl! zfS8?TyyuffO=F{Wkb5^ntx{@@!GBPh$Gi?nvjV_bJIsJYrM%R_&iG&x8rWjw+iNZj zpd$*NzZ^<*?OFuT`i;&`4zcm@mU~m`tEwm=L2J&C3Wn=E_|>b+&;X#nc@qP^ympzz z!wOHz2pKD6IRRLON<)JRsDHF%VHpD!0N(O|5eCFV3V`)5xp50w+=Y?~Krw2Fm5>$4 zf*A*_6EV04Kw=C(cMxQ`N*Hx_E2Q)R&_n-yRnw`3Qq+IpLW@x3$jK$)4C{wII{KpR z;!`q(>uVdLP&WVFFJC4eJ9SI<3nZc;)_8NRN5s9s77WqaHy$@l&ScE|o6*9?26!f3 zA-l^%vylCy?CAseiFgi1PwS%_`TX;7vB_#sT%NgJW$bb%JoCj5T0T=o1PLC7?Tpt7?D%be+pf!UsQ3EP9F+{19 zy>(C$LL(2Jx@TeB|9QYKTH%OiImnER4;e5q&tgZ3a<@!-{-6C>wv-xrDnzq;O^QdL z7Yf(SpAWb)^79pXXf9vA5F>{H&63h85fM=12ck@<0XlI7E_}^uMS42o{Gd(DfR8Fe zg&9>==;_%kcUaw?&5RO7dCrKQ?x;7Y$wQL{HI4DM?L_$R-)uP61)6xF(nfd%z?=SZ zcC^gQ$=O=7UWc5WODvqr*#syWg%zL_aK+l}<<79LVYXRDNeM9n0|VeY1RAUli-tukA!?$A!`OO{@JOF?@C{Y8bBRjNZ9{3&F%$n;t)$5O^B0~YHIr}| z<7OqyrweLH^SQcK*8na*Fnx-3%yw;p>3?BCR*D?867YyHeG?ZJ%u!nm5?7*7X;iKW z1yg$8;vZz}Nrg?V4fBWcax%ztw2KYU0G>euEetp@c>uXa@WoEfY9&Zvr@OtBX>J)RC@&#E_X8kF1Ijd%$C?X{LWw_2Q8gA^LQPOG9ywm3=AQt|>nLyl zkR%GB6!j29QCFm8WFSmT1J*uV?Zme8!ZXc+;olWe2>*Zu`<}}thcF`Q^7ZpmyNeHh z-3_eXQkpk94Xc;(>D<(BoxuNhNlunGgLxPk-whf64R-{N_$_17baZqmq7kYKqo)_y zcHNsgPpc?MgEdg@rlh($31rP1V68UHX>5Dvru$mu?4^@cTkj@l09e&ep>TZ^4ei&j zUkG!;5tQ3J_|N(#B*0jhk0|U>qWBj`s8OK^T3RY0()3U`O63jAz&u&s0gJ!^ixyb0 zNa3~0%%Rd24NXlUt1sSX+iAeBD))j=c6KyW5627F!Q^ykxnttAReN$cyX5aN!4e`jBj=74 z0R!j*^4evC?K={A2i4U{6Ps+Z^bE{wy_KXO=y6b- zo(4=0qn4Lfo;%g@23nbz+)RD3#PZGLlira0f2sMOf0KGp-$kmf&8*Y0xAeSOg%tW$ zU%!eYoxx6pQ>PM@do(5V2^@|o(I_0 z@3U~c(Pn^m0Nxo5uO3{3ZWvJG5udvS9oEL~fNRleb(!uD)!8egq}Zl!(MF|s_JE&4 z1N?zXF#Ig~Z>!<@oq7^eO%2Uk2d?eEuWE+z+oG4msw_>T zq<9Jof4{lw184usaT|6iU%%P+xpYnAlV6o z-W#6)@SELST@8R|iaPq8ohuLPL8PR+_PS#(WprtI84Uq?ryiTzZ#Th=V&A;ek_(y8 zvE%e5@~CJK=^*~k19W5y!QN`iZ#O==E9@X;eCwk{kp~%EqW(n{V}ofK-$RT%F@L4f zU=wWkzwI1Y)2`lPC0%68&}1R{_)vMj_Olbd_QZtU-_J@k(Jcwb8oQ_6{>nUfQH;7DR|Ze)IWV5si>WuAAEpZ#vTBw1$9 zvTL%zTltko=b6%3+^!JUQYFy6$1izu`odGGIl%^+D2G)Nm_S=5Qh$b!JR10oSU2S>qBM&g=jB2SV+$|zXDBM{J~@N*87 z^o78-xA5Z^JZtxdnK#;&bIvVfGKpa)IdfUAQ~z7D^zLTqv43qt7P0TA2r`n1={gGY zZoMqoKe$7>fDcHt)Z(1)hPXF?=|&U%n;X0FO{0TB#`C-zQZG1h9p{*t`M*vMU7eOV z3&A01ewXyRhCtCVJfrBNL}60S+Dn>m=3VuC9kbJ;1e(Vi( z!;=s>P_z^xk%z%MVS=$98S1Boj|t+tQZIPxuPe>g9SqAKxUs#kfAM$iF(8?`B| z6T2DYDpN2&un|%Sh|zGvV8+PZOceQ$4T5p_3rI0SwN>mu`*ZYYQgEuiDkEIvl+o&FD zQ}yKM?UaJcJpWAO22X6lMI?rPaUvgVpThwsr zV30~o{YY;xSa6yIHv0jpqy^6i=g|t_8#a^!i3l3u0(lxR4m~^8ycO|^Vq!C zu&1IgAO24ocOlpT7--&Wm4aYW^B_Oga8f;;H*_fFB#=*J#Daxh7Bdnz9 zMoleenR}8*^_E&s;Lm!GSHmukgwhAL_|Aeq21Ja516RlhV&iZolOGpoYG`TQU|#sn z#R)dOCD7baI@M;6S2B#UMDdV;N813|1(0Sj0oYovKc~5R+lq)MUuPq#B8v)qL&#M0D#P(M^%f7&$&!Ht*y zw(*akA`Ch*@)+z=k{KQw*PGJx#PGR?-ELBv@p3x33k!ZKy1Ka*Z#zBB*#v!TV#*al z%O_V~^*PwF&wbz8C?kkC*pFPt%%D&=zBTA^QbtQO%Nl2}7R&ZP+o}J2GZOu8nPpEJ zWK?Jj#OLy!mfhyIw%M{FJ#++!C2{s(rqE0axqdU0OQ=VXoJ^f8Xm_D4>iT*=n6L(< zrRi4~>sCHT>lWFk2Jgd2czm!UjMpb>zjc1u!s-WJQcfYa>7GF; zC4Q>U-IVy#hYiVx- zCPgZVGBcZm2bBNp?O)9JEjqID^51s}k5rKlZEt4-2ORhspl}@-o$x;Qq!#s{0Ez^3 zZMmr;P*??!*$tkhudJ-tNb#T=FOUy_bifasE5U*Xzz*C1K|@#;NwMlHCg z9RMasJ_8m&g-1udD<~|;;X#58GpZt-<)hl9vy~y(4^5|WcCP!+7@N33l(Y#Pd%vJ&plrlhhkJw`7G5tUpmS<_0&Z!)xGYOo1+{70mwVv0F`^J{>trNlg4R zkODl7+d!>uy^2CwK0oWLUU3J}h<4?3I+R^4JUu7eX5cLuKqZ1I?dcLaFsD(%M^sVg zUtcdKdVb=7e2RyQi{S}@nwFFE5^7v4jmJiVXbQS)BvYLHCe%%230(TEFaZDnDXU|l zqkd@8tdz7(EiShIbGrhp^lIjvB#)3#zOtCj()Ujz>cVA#m=;219H~h?hk^x_eDzwfA z;9c}+*0lL7d8PjLB7bqi_GSQ1Gc?9lw&#Kg$MKp29G zt^s;{sHrNe6_c0X)&dgjFz5W-9K(Vcuq_}7D6?*BX)%O<2TZ>etZ~4;5F3g#_)#d^ zz!!#E4BXg&>T9u&9u1Z`Q!pT`so1b78noF^l>v>a!GIg6k>b!d6BVU_y9^Ae@vJ(y zbdhZX^B-%Htf_fudT5G4GI8byV-Y};0pc2LNKjPr1^`)Wf_7vHxck6=$Fr!}bN;ul zLG{s8fjY2Fb8N0hMIqXIzT0!`X<^D}<0{5e4csCn>uWE+v-XVrWHm=RoUs4oy5jUv zU;p8a;oCa5X2V5Fh$WnnS%2#ZmCh`q+9pd@b~bV=Lc$7tLPWE3X?L&ZIJUQ#ZOy8^ z^1cn1i}k6UYKAV&)vGjP$Bln;nd+}9oeyD?1f$Z^?gSSH2NEmDu#5*jK1>967hoY8 z@=?*fZYKil34o%q#{^LN0W<%)%a~p8s=ZN(c273|BdBHqvK;gY@6}i|3mym7tX1Oy zqlKA;#aAs?T22lddehbT@s2$fWv)xP*&yWz0?R^h9R<(OCU|r}Wu&-es*wH2wD7j& zAUpIc$~)d%6VbZ}@C}Ua764F628i9^GB^H0h|iwbFODKNN0EX5q-5qfYV9J##J|>i zRKjaVG*>ovHFrKvUP#GMN1pZNid0+0m0TjryK>oXsH|P2`jSP?uf}4ftdgz_{zu4B zD^KT*t%ajoAJ@84S}dHj^#$Zv7f;*TYYXaYkf=ETAt5;xkQu$y;SAQ{baAZ*_$eeb zbkV+EKFd!&YstPIXmub5ch;AboL_wAE(z_2yn($V`=Pv%-dSBmsE1(}gI36Se=;8# z^Up^Pss7FBu={7nfD~u?VMKr=YwpL%Hlv zFd`ml`rmOUCf=>dnetJx-tSgytRyBD!A&2=E7svCl8y@K-Sf`*z*a;yc=_^F&l{*x z8$VOM*JUqWWn;}-*s>?bbNc)HmPRR^U%)kaLuHmNhppx=fv03fCyHdUnRWAU+{@gV!2XPKeqN-sBymzB`wWcFdi zZs8(C_s7``@%Fe6VsusL1#h!zFK@hgCwT!wBK}rVg38l;DApx=5^_r@Ya&w@_jK-j z;xdB?zgGf`)Esc5W3&QdVlw=W9(3dtpZ2hr#mfD;ETu^Q2`i}oB_$0>dStTV`T(y? zZ-y_bWFL4+-JtvX<(*LDlGS52x{!j&YfXNOBt#@+CV6d8TAq(rUUOr3x}o}=cx64T zJ=16-&wbtnd48roU*guS3ir1OUaJP>^2VN7jmoq9ifi-0kUTnwxm2_m*<5n)`|EwA zGn5U3HWPu9BCY~o=28L1Fuz@4&{ya$_`3IWg*kGigL19Ln97;@E`jBfv0-h(|dwc~S{XW2PM_$~nj*+&$5 z8CrMQJu)qDxTS?G^>0+HR)wyt8({Ot4ubz6NYDtChqZ%X_`)eE4$pM#y+t9Hog+I< z-LbRBr&%A4fUTB^Ou^SNVYJ@*8bgCO*y^Q;cC=lQ((GvhwMefrFIMK-yD<+{`~V>E zQz@WA<)PK~4R)-7@V3QS$42EUSaGkd7_xNScqh# zukZJXsyn=N?@0bhP2rc(y>(=3+jM9!nPEE#my63s>d}N-o%gBn{!|EC{7^dxuM%$V zw{WeeL?srB|HJeAW_ZN^zxqj9I+E_Sd<>s+^Dg0+OA%3O8|$e%i{EDb&`&n{oAznH zY6X^3Rxz{Yi9amBAy8CAAP5Bn0xV9spK0KeDW!!#X(}A39IHp;X9x7l*$Lqf4daSI zs4UAXl;+;io)#Z#nx=OStY=-ywx_P@o{t)VuINSCZ60D> zVj3FG;jZrP`B`XR1M!t;=Gc^ezIu;m&=Hcf-AYT|iYX0?J%W7_5*qBk#lUygyqFYy z)?qQ@nH;70f!;PW@w}FoYEldUiskSPHuMkEh;KT&NNJ~I85`eN#nMK6)wY$C*Q~RC zvN&gm_c3;XEe7zO3n^#_P`E@Ci+hKMVArjk&dFF*YszcV>^$V}(HazAp_hSoXp%&? znm?N&eC9XH6cy=P(>Y)>DeyC)_E^!wO7P2^o?pp}7u3&BkyRTXlU_)opIB8quybRG z)l0=D>>pl2La|DAdbVCZt1C^h4u#M&HB-x++THB(6AA_2ftyFvp zjJf0}Ce(3!ClLZNmE>hj!WJR|vL|~qO?B$?Xb8i{{7?=tMp6ge3EfPgDYXW=mko7-GQGVY)Q7?~82>xrUel~sP;e2ZHBP1xZOmt`)0<>r zy@P{6;a`lb4%ZT=Di=v)cFl7Cd^Emh?*Fqvr3HQ*#557*?D-bH8y$3BlDq_-zNP_~ z7PQ0<46I9MByEVh%=8~&bv$Hk@N`jdkZJ$>Cer`^n<)Ae;nwR{VRLyNV8ZDy-!o=; zBpCnd={_&6vI_)~YxiemcC?cI{(mu?uD&D=eOhV7j~q9%=9ggKouT^h=Z~ZvJM3d# zyelYc7a?iBwEr;SHL*=LkX{@75Aw9oWe9Si0^afpCy zknHuJHY}A!YpaZrmDPLen)IFT^W9YXwm|Kt4EP(GgR9mQcyvn=SCwr?QlNToa0XHD zBnTW(uio?l)3S4a;+W>lG&cBos^muhlN8+xfBulba6H&ZXHIvmw0!Su=sDMy4L<{S zm;+e5_7A1NoOWTYjeh*}8wjEPc^%2_cQ944){G4$sC0se2NQ|^53Q!xU_h6-_1?;0 zRNTK<0C9{6=lE)Db#C?8(5S}ZhS9(46?Qx9H0w2@>%aZNN8~819v;?T+Tm%c9@-SP z$X2UI=-+_IR6Sr5$x;giu{@x(fLQG2az)7agNXqMKKCmL-A|!N26r_H`k1d)w}C;A zjErkH0nfeSUHwOoa9%HdSGa3bLV-fl+rXs4x5bE9XMW9Mb$J(nNWbmn#YG$#UHBL8 z0<~ItaWN5MYIzwCY!4fpmLh>?3@vhC5Lgf01Az}K>&G_Fv2RYxg;AG0tGJx9)6>O^ zufaf+Xs^G!y+RT!KM#*q-coCp%?&Pp=v4~(5VLm2T%4RyJGgUQc(m^45ZFqpw@ij zSx#NgoM@8Pb1}_-0d;BVJ;$prH+QZL%+-Au)d?o=y9$Xhg0I=h0 zrQIxuZbL6#_vo=ngwZ~DD8prx^M2<0<}-Xj@LK|@X$x3~LNYrvm(OwCV*~BB^=QD@ zSl9eK=)_SfRGXUB+o18E7!(Csn*{T3SaPr}^tTpfXV33Y=>%OB#*o;}oA1?`TZxB& zE#Tny201zk0~JbuI_Pn{TH$=Gpriy-+MA(EH~dT=HV5igKzDTp7|zaI^+4+Y4EYB5 zz$uHJ@&WAatZpMLJCX2WX~_ZSpU}of;k0i|?6Pins{J30Ys4WX$*B5_sHis+g8=R%&AzUP(Yp`r?oicA$|Zm=>1T``bbGl5oMT1pAZ6YzR)-E1M}vHvBfkSwU$ z6V-0gD0a3On2l4I?p`??4q z#4I;F{m`kDIXsB-zb_KfZnMObVZ;{Mn`}m5TFZ`kwu$h@;+*0Mjx*n zfV)j^_$@I?#}KQ4Me3$lBMrDwLJz3%TL5rk$mviW`k}i2&*fgmr)lO?)h%@e`Ts=< zI3qeD=u`B&(oZa41OiC0H+U8T3AaC1Ok$s z*U8D@z`s@@>H@}WCFo;_sj2ayVZO3rg`(6P@2}SP;WCW|m>M3$EGc=F>>7sHxA`@>7@OfdRNEGJrLFdpI#f z5CF>wMc|~ufONa*Mof^m(FzJuK%>&niZyWwB6n}f^@QRQj#{zxn_xymvUdm4&@*5R| z(Mg4T8;hRZAAPT=srV)uY`X;l*g|d=u12B!@}Mh7rmo_%Vh@iNpJ)Dp8u$Rt)HsU z_-f()Wdwq|dS&9IIfEteqUxRUJ5R5abzPkzHGlSulH%n^B?o!em6vE;9&aluvbXs& zn<0AHVOXLg5N3q}_$~c>$qCkn#}Y$jwyuuDY>w=(bNfKsEtaAP1mC*N2;281B|M<` z2OeAdBeRq^fNoJ!CzJS|{Y*c8^vR^%rwwMJj8r>WqMYcYM_{t-?nSm2FJ53_u#F;- z7ZosLZw~1={O}R)Gz0~XGiTkw3`*+HlSQ%-{jQT_3j*oeHFwEyJE$Q}XuMV)Y zlK1xZ(2(ppg096&AKu!?gO45+6;-4wNAU7+&~hyX0uj!+x_q6|eth`;wzBR$gIG)W zz8eQs`h}grMU^Hdtmxd~UYi|p=rr|b+m{ds!P~&7&V9R8NH^qU^(1)>eU&9IUo6Yz zYs7UiQGrPh2bjCDhqf(aJMsy3iB&t$#@@g*0bn&T!MCqkco()cv0o>EN5(D(C*E5( zf#b<-gZe;8x(aXtO>f&8UG#c|pUC0%BNp&p&<~N9lbV}b8YKRNCz=wDnM4thl2l(uZwLQ zI2`t!9|*IsaX58dO71;d-JHj|TL-5{Hir>`cy8+6q|ylsp)UG?NB1}~c`bW>s&Hjw zOQE&9a!WCHtk>iBt+e~#zJ}V0>`%(sMMOl$POtIR)8A#twUN^KkX>24Ab^9f^*JQxPYcyGKq8l{lA`Rx$QRfIs*b>up`)0B6{r1e$~kOeyg(B?)*3I$GR}u6x?MN>wD+2;w-oOUnOjJ z;XRS9G(|Ak{AevW+*Ien*WSw@^fV8!KyA-**q*Uk5#5y^Fh}Z^CM1T|wYM{gaaw@> zBMOmn-T|)Td1%;m!a~J@rK2e<{Rl)$pHCMrQGWx9TP#fD)_Jj*^~}abDMJN>Z9jbM zL7MXIqS!%$arNs3KRnKbbGQG;-dle~*+qThqo}AzC@rNTr8Lr|q985ZT_W9*1A-#m zT_Ppj4FgDwbaxEh4Fe1e@IB-GKJR*e{Qd#Ytb5&yg~N57v(Jvt-e*S%N?TAs;QP$U zzOt}Q6=qi;11#-h3b=6#RX;i3hz@PHrJlBJh=V}92Qxe`X*YH@C>?cHYGReg`}y0s zzYbb}i#d%F{WqZhUi$M+pQ2rKaZ^28T(V2-prJR{SoQS*qRe!-I42-Y!09uF{~s1S zgg}yO=h%s&o+EqJ9*_r4*6y|(Bb^!Oa=cz701;ZLhF(-V^m30IgDZKBQp5MUfOw!x zMgWwebb?&9B+%6LI1YM+S_9Q({h773{GAcQCjhYE^WW~@Qc+bsxt^JsNd^pjgEqLq zt1Gp&uD-tf%fVvC?gi2(Ed3@=N=k|ZZuEok1Kib5vax4;`5ScL8-u85MkKN7b7_$F`#m92M5UH4LC_)0?)C>I$)LV zxgBXv=OHxjOg|91utrmf15oG)ro^*stgrtCz+`A*A|7#liRcFdQqrDJ);gGha8e2= z=XwT3!=XaP>MMV6*eFX7;M76l*%KhOSaR$F0s@D;&?8=QUTbZT4XmW36g4)chu^BD zrIi#w$bc6gy9W4O!Mfp~BRU560gmuN8zDxkDTM7IY5OaH&TMQHMk0|C+gqQ~;{kUp zi~zdU)z#ggEtvt>1~rSgoTb&x2e$&Epv|)dX!eo->hnPr_wwG=?w+EmDvu?cM|&@8 z33*OHj1krKjm-}i-_vufg{M$l`>WvM%Yd~BeTY7T`?EgV+Y$;d_E;;DNfLS*m&`l< z-grK^)P6SG1EqBx&N2<1T?4mfGc#Z;9j*FHK)`Y;B}UU8zcJ;pz8)W8i%|9ParY-$ zP~<6`D6kd`I}dC6?h8t06?Q?#8AnG)V}KRGOza*(1gh`qb=%p&5|L~KHwsx0FcQIj60C1KHz{HkwOnhv9by3 z&NuUq3T-^|uMYrPkKgk;t*-?DMhSGdew!W+U=BS1X%`APs#1}lD+}(I888(6-U{PRZHxD?6Ntma5D&YGW zJ2;hOB&csQ?oH$dt!+P;n{Si=F>Q z;TH#R&A%F}W!(w1#t5`^2#2k>FRlrRj{?{AjC)YHM+@0}#c2>QBfMT`#jf)QYv*w) z%F4^2BBu{znt6oYfHdC|$o?o}uHi)A2cxGTfqD)gt@3v}d!(;kWvv*6P4QiW#%!*J zl^!XeU~cWD9!d)OTOasrsG&GmG-xUa3aRM;5kaqN35>OOba6Sg;WhZL=qEl%AD`Mc(?wEGgZmmlcmR=LZo;wyB+uJfg5~^$vsUYLg z49sehpt3Ut=!DPnq&%$`sLl~ls=)-CNu<@Qt zUhM?5nbf{ zFA>+CBrKY*p8VaPG7rSd*-T1G!rtBjE$VtfK6@&VUtVAdC+l5oV3#{K7(!gO1dfMp zbGjZbdo1AS@jXky=-4%-v~y()KDg?O11z_EGHoLd#05j#zP>(ik!K9t`AOg~g~P|E zrV?Emw{%dG{a#~DmVh~HcdDk(#W+Btu>?UEYtYc@Fe(jg{MQo~sNS3));h+2h;X#n ziyMR)Wb=+07AP7)VMe}7rB4> zi;P;+1@k{?B@%AUd4RSmwO}rEnHzG`V@(jTAqt0{XT_D9T=WT5E~}wJs#B71`VwO% zhm#alH8*XD$rLPjtb2!4whp7r;+B2jq-(%5V;3|5fp+L-sWwJ`@eu)Ph8#{ANG@pZ z)ghOd7FyU(U0YVnpcU(R9sSJ^^z1%rXY=9!&9q(D)BVfrSGt~ef{MFC;DgX8Tmc*V zS4B-HrXL^>2^n85&-3G}l1_ZDec$b=%9nunmr5s;s)~w{psU&5?+tX4bsZBR6{-c_ zYe3XcCh{r`)LJA{Sl2uS{TzfpGiKM-3Fx60Niox1RzSMUww@R00(d2$W7~2Y^@kJ| z4w9Iuxrw-v;k?Nhr4G=_3aE&sCb)8K1U}+2NWST3sh)`hHWv3{&zcV*4gU9h zyUQ&n!O+|?I$${9jewcwN2W_n73xl^aqEgQJ+vQdihK#QxYaNQv?hi&pl5kOQ`!^B zF>C8?jEM&n)a$zKpvCEa9^GSYEd>yV$$Jev%55)SVXWkauE4V6{{i^<}5u~s!JaD_gA3g%K~J(!T>(AXHL2=utB8L%S%c<_Wox-Ox!%efGMP3TVyO9{#GY;EJyV^**BP1^-CWbLLc;^D>)9Wh) z<~Xk4m_NpxBW;(nlhX>AkkP5*G8+S&1Msg|O>zK#gUq;Ikd9#APOL_Wyk*Ph<3-hyk-g z7Y`7bR{c!~+VH^Y<4rew3Lrl6teN|yoTFe_RVB=13Uu15V&d9}ecs zbpm8eSp~hm!XQFW3n3TTlg!Trs;n-ZFt7-?T^HTsqoa)mXKU|5_mKTcnwp6iS3}ba ztN$<50vbM%}dcr3iw*bL&9@EH2(r zMeJg-(c~orX03)X+V$DYrbs%3HoUn(Mh*fu{TOxu!4Gzji8J8+(DQ~IuTe*ECoteJ zX6+hwnu`f|=v3T&2!t|i>3;k3&d3YVSnxpnI_u}+LHvYN@{Hhq+&cm(p3$Z}+TW`M zT|09S7e}VLaoWu22_Wb5aihtCxF{=WYNXRYIk!n6JG|8<)CU75O0$2${Ly z7<1Qdul$2ruT2#1y|!la&4Tj2E{wMe@|QS)DP2!dM5MYb7E-i!zQ4!F^(~6-(M66n`sCXtW6FF@TzXnJJ$iUydU}iFCa@HNlrD_f z6$JvlN1{ntNvULx74dyKFUt?wZL&>T3gHz^7&*uInGOig(-n+A1yUlDx>@U)fpU-o zhXx^20K^mCWaPkDnyy5qKD~tpil8W112njCx)u3P)-zxrGR}9s(u9t~H2avW zw$USD(@h3lAWVQB0&RM`0nP+KQpJ%W2Dk#!APxY=C;-1E5{IpU9fTX1>y{`BG0u(S z#tI3i`0P^X`4%VF-4z|l$Ufgj zCMLc+rh%9v&WQwRmH|l)$?lXcBtTAW69v*g%0$Y<*Rn4ql04uK zJ`Uv;?E<2fwXqG@I}C$ItER2H+X4t3K+B2j@^UUo(AsAX)9l3+TxtL=0H~Sk zC{na{2zvR&txh0R9Ra+Ut<=lUn>jiWd3G#fb4+%VCUGWUAPb-}2A@V_n09t{_HwJ* zax(Hc;KbgC(?If$YBpy;jSh`E-^0}YBV3abdr+?ig`rp2lHT5fK>FBqE~d*)5{j4S zVZFYjjM1i3-_rWx?-fp+Lo(X*GukLkD}ep=9#-q@v=lN}{Ual=l_6Gys9wq{xM)wy z$;qb$^I^ndLC>*X42rjQGj==fH=FwCJfZ>;%A1WHD}mDI>?LLN<49+*ucV1@&n zNpW64k5*&W$iE2##=(9iM$HuD-T?kempEd+m-pHr+$eMpnUb;aA292V7oU zM@4Ao7jPay4iE#JuNWF0jnKP1%eK@w@qOAIoM3C+cUedSTw>L=N^qo8g%^jY>qg_h zxly|LUX~hH=&(L6O+bid^GsttXGL9M4lXv7VO~e&0}a!)I)4mrWL~^>|Nhh;oD8J( zS9LuXg&tbGs?p;#+(hc-Cg;*3+ub%uFel(?RQyd2$)SHNEqb5;97711SL-8ilIN>0 zIWG&-q|H$iEjY(W6G5423ib*ySWQsvnez7Mmt>|JqD5C$)O5^IXz;pG4a)$Rf<&w};H)b_RBq_4&MFv>*GdP!2kAZj)SO{O^ z0}EgnJS;Ixmz(B{3O8}X+wD4EgQd!{c?xRePC_j2iVu9`rTQg<)q z2r%!>swzb1G#s{BVYvJ+XBM$jg53cNIj@P&>j%w@4v79RD0t?SU>*1|`AT~<;&OBV{Vl*a%G@CqIs@D9O)if32 zR#9oa%eCXFf2MBO3aHnc=uvBU7y>yz`MX$EFl+cv+9OV~{R|^B?dFh}g)kMT@);*! z)vKB8a8;XuW0O`}lVb<~uV^rLt2;I8F55FhMoHke5lOwksJJ1I!Coe&d`_uorboxBZ24iN)Ne=q0>ss~ zFD9!NcaNQSsOskPec}^ru7^Pg)sFQ(yOeOF{H{d z;@zHAJulvR-mC53COC94m$Yp_aM`0zq1NkrQP@}L6qqPDA2~6b&11=86@}sG4Vz1C zDXDzS(|cMxll+dYbr&xn=u! z!7d>`|0WLsslYrG!&;GLVzeFGv#@2xEcbGY%ht*I%dG9mbD77co{WU1tRP%f*$3)^ zA(77;8+9ft7fLG%>lmi>YDH7(RbdM}#N5N2fSEaW{>bMPl+E#jTLlP&C|!vfsI$nj zJQ@B|e2lV8ikpj|vLMMSu6F->ID1iT+C6lgB&?Mx3p6{>A@2d$eL@K|Cwte<n=eh1Ufa?LNoj@??8YXyev>z{`3lfvE&mZevap5 z#$@G&*~ZS4yUeueSf30~%rZ+2*WsJz{CyZHf#?&F9bk?~O}?iB=ZaBf$<%b~P_XnQmtWDGuA}=54KkD^~3s24ED)GadTtF#Gcq zgeHJv?VY1yGeLx!Nb2=->>2g=IdIvXNDK`eYGJhX(Ob-m$xP&uKK2+G(N~zdT_%sn zd1+0l&L!;>qooC0ibb-m@SO{KLqjVkOV6*Ax`Z)j-axuD*V478DEtj`tx^WjE zUA|tR2$?{v)(m1y8nm((tgs#B0wJ-GR@GEGRsNKqe3~wV!Ur8$Ja&fCHX(|d^ zJLh%u%8b@%M7EKcP*Ws4zy@Ut9>dp<0S(>?+ZDh+R|VoCYlaA) z>a+pQj*Ho8HhdU%6+t;ujjB1pn6J7M>z-6uQTa&a;FJRp+2T~GWML}&E!iHQtsI)- z_0HcM;4R=VnNEZP==yU)1+duo70brXE@cUN9wxgng@`S>oW}oVSa%A095|T_OT}V9 zdjNZikq_iBBI-Q1DPpQ42v{G&9~gf0R@kk;11kfk{`qlVH;lX~;bisH_;gilA>JrO zbpwe94yz@!QZjNDwUI9^t;kX38vd~-7%bxC`DcL1*z3SW!-w&!LSH{aIac(c8+aMG zuY88=-RrFBkoGgcoQn62z90XGBf!msOgt*d9DJpoR~T?qTHjn19k@XASfZj-v4MVE ztqgtyXlCm%w|(@RgRoClw$+uKcZDi9?SujZ9AQrYR0IF)$Mu59K^+L|s}PG$KXNsb z{wlNb>Yc1B+a6d-w|Jc!_|k*&!_AHn9^K@`??)Iu7?I)Q1zdT*74rm$m;kL9hri0m ztE}`@U-M5W{S#{_lY4bjG+0wFjH;>U>Ld;vFp@p^30P0_hu;PN)DS1|w{p$-cq^mu zzZpn%<^7)>@;Zw98|vm~FU)}Z^Q7+@O);K=ae#HZ9CtN_X+k$4P#&$y%(GSnT%S{C?c5QZ7I(NA@Rc32z-Bw9L_js*3MmPqta4M(Rp2Ty z6uB|eNT1?9mg#VsNV%>am+DK!KTrw`oO9Mib07E(8#9J{f#6tV04oD44zx5A<{{kH zsxK^ZfXx```v3?>B-M56ztbU9bxe;R&!?PD?kerg?XHh}j(ut^C$A=f=VcRwAP+7+r?pmdkXEje~eA8H{{049(6gcmZTmyzVjP zmzYm-W@JRse?Nl%Kj8iE>zH2zhHgat`-iz^T+j*M5zrOFC-*N<8c_sL#($p&48sf< zR>yq6I2^Vp6h>~_Y#;m)W47SFIpl%*ngkbgAW7$=aE0x z?_xmRzt8_Z9+2UGiG$&V|K%J&g#Q&QK!pEQ3V;az|CE9Wt6%p_H%xDQW{$5{!UhB}TyzW3H7b}6ewXIWdS(1#Xx1~VaR zZResJc4kaTZ$bv>?}*>F0#<_Wk{G0IoQu~zf_!`+fbX~lM)53ziLuFXs@9!jJ5;nf zblytY&NA=&68Smy8Xe_Gba{Ajk=(RiPxU*ylN@%FJ02Fp4YaCVmRBmR0Dz)OnH;s# z_p`VKFV4;rTH4A}Vk8=xQI8{6+LTXf;*i6iYHJ2#%g`Ma0ZezmZfs3~mGL&%2b)2y z`NypenyH$Mo`d&Nc|RQf$Vcuj@zPq&z!zSDX1vK+HuE#X<7+0>^xjKBRNQxsH5HL zJ}DKGgrFN4$vhm*Pp8_j%n6k&D*|rJ_ZXf(2ltTuunG}G(_XF66*|$8dY!t&8eOy5 zlQ0-wHWVq7pqx}T^oXJ3wSs!J>v;Zk)#-Ke^J$lzZc)*OSH+eS2~_nbD_DEhRHglm z@HD+7oq9n|v(?OpwGKA!7jx((U+KfY!}(?QvnRAL+WFv9dvGTm8Ed{&?${pdaVETG zta^0IDn&smiHt0yA^;K3!|`4|i3}p=4otc2Bj=rso@%c%YsRff0ss3r232~~Hl99(Jbp33IXmCvCDcr8_ z1aIl7m%V~|j%T7bpbdx7bET)tI2PsWr7N!M0U*U-Jba(1csF&fK)qggi>KNQ*^z?k zbxDmm)#ij#m1P9;aIkBd6VjycaAbVr;eaI10pv0N9KG*Dde|eqbxspUbl-LDJ=ak> z;#2Qe6qgcjRaYn5$LPltpY<-yrSP1c)@CL{T=xTrHI63^w>_Qi9;@+e_qbdgYZT_ga|4kNTMb? zSqj6HS+YW}tPDY37TAXdW*@g$bgMY7_cKWEIPQAPm(`-qu-DdR_(O^}Mm8usup#e% z{c3o%7cWZ7l{02$cp2|;v70kIJe~9$Y$)#NE2J3K7};x4`o5MGzrBVt;uzw z$8v2x=Uhz5?x0rj(|Qios&LikIGsF1zPMUwn#uNI#5Ow4)I+Bd2a;?DPFrTpXBV@N zV#}Ebi8S392E8*Uvc(u&!6V-buZVI4CqE8r@`A9){Rd<8x?d(6JkZswJ+%&r=Ljs% z#J1NFFWFvpf5kB~?HD;oP}hsHL0m@jlmeat`~~S_#_-h5I(N6jl=`$TAn=#nn%SZK z4A+(KAPNE8Gt3LHF^s-0AMpGE0P(t0)$Olk*ij2#=2v^m)>%Ll7IGQ}Sh7@9M@6o>i6fj z4aoFI5;*O&z04MFYt-2X@f_p>eZuokpD;Co%oA&h4Jk--f@yE|3A+81T6!uq=4;#X4A)lEDL z{P_d4*BE+L%HyC#Z=!9bl6tZ7{rH&jGlkV8i~-!<+lUsUWKr%*$L#7!XQDb#4OU@j zHiDl$Pemm*$Ij4-dYoP^Qu_#YbQoYU7h9bw%(7x)GRT-6A5Ek?Oi!IJ`v8(d3*bE8 zjUZ~R)HIX{a!|~KUkBw`g_(DN1Va-4MOg}s90=6nC7CYByxG+l2uUgiuKFQ zjM>b4M&$-uyUaSZSR&!%nqD>|m0dv0(+@4hd}`}L~nbRp<)v6#oKy>3SmZ}#DJ zRF2w80Xd;WjdO#BE`lDmxHy@c#~5ZF1p$LqC5zm~8)lHrIG5exMoDM*qR!^oJY!k? zE?60_P2RhDogx}lFgxJ-CqQFXbKLU>wdD-me;^Iw7TuZAvC)}1)x45rjh=`fBN@xw zq!2LkXL#Cyo$c~)#be7qY%NyQ!=^)34X+!tauuon+`Qz{mlkoGR8C&c&8Xs*co4Y~ ze5IN-E$JF{3BQOFzCur-TO`=XTQm<$-8_@dwyR&&&EMO9>|iEGJ!-Y+qRqzz^uW_6 zeZM)4y3Rc2c{Puky!OklOn^|Zm;KXcmNRwk%}cq27Q+n0SOdj*Wy~g7O)$v7?6BZ7 zBqNisBcN>Nz;qG}mP$E;h#wBL*q$Ab$}w()q+Vp);-mGZk*-WvLD1ednI*leX>9Z&L1q_Ga4E<+k7sb z78#j&$_>59X@Ns*evL!>;^JcH#IYb``md@37-Y$|1bq~8Ge1Vo&FO_baC+?V0Mh)M z9=O`AZ`kmg%{K;ad%soug1q^ z@Xqv6^)=eDFHMln#@w1O_vsS;R#0w~_aMAd-kVUV!paZRn%6TVAJ`fOR?B(})q_A!)W6ex zE05oNZ_5)YH>$R$P4)BRdJ`0hykCsEPKTc3U8?ap4*vYe=jdW7DLI*rbK~3F^K<_Y zsMD*sxjC^Lv9P&qMEy$_Ha8v{tCUz5-4T05mkvA?GjGGyMTTZc#y>oz5f}(h1!6PJ zwqK%(As#13dVJaTSteQL2^<+s!=Dc`CHePe9PFL98VnNf(Tu=%(U_v$U1c>D+;en}l8(fbesQ}~(^0AR`AHCBA2|Ut zGP^=tpTy9{UJuGbdj$?df{qee7A^}J5X zCBoFN#;Re$OK{%c#HI+9eBHi0m6vyzEj}kEI`lW{8|(T0vLs9!Fag^Yp%X&##iw7MDRb#=_>-cuR{ z=aTV5wkvpqPXO;Uj&$sD5wwA!>2fe^xxt~2yrO4AaeTN1(C!;)a+);4>wv<#9(3Y< zQ{8lq@MJgZO%-NF3KCNGBRX?I5@_O8D0*D?7TFi#`45-3r4$*Nz-$cH>-XM1q&ETA zYo2V?8@TJv?sBJG`|kzs?25#jk+5~^UE993Mzx-17E~PjiSS<7o64jegE6ivMNLia z>Zho&YMtmXozp!;#a>d=l_;V!FQyn2nhYXPr>@h}Y%jX@`1qn45=cdx4nm4SVx%m* zQuh7(_m3abXM?HOQ4G8*GuLU2N1+zyQ`gro?-B4A_?1-Od?814I;XW&kPiya`fR4B zPp)=%QZ=;-Gc+Ye^G1B!gTCIqUv?^Ym*VD)M|Yn$iF!Bt_cLJ8{W=!fTTyW6xM=7{ zB_DNm^6wpqVEM8;ZCW-4W8d|I6K9w1@77;`FE3B(YXGIbU>2L6=GiIY`aX3(4DRSL z6Y!(P=kmfu=?_RW3%Y@I=QL8h@VJw|)CWdZ#yRwm+DoUn0?$K)nWeDVu(Wx>c7A6G z2OnSlQ26x|g1fhF`t0L>C2Rlp(*U6mJv=R1imt7l3MccuAxEUru&v-G9w%q{{%+IU z>z`1)>D)HE=M#2kN3bbgJ*J+vJmH5 zidgxx%K^*B+~`ly(hr^KNG=;FOYBbuu=9qa7MbXUS*WI~cefQ1^2dwXlwQUi|L*DY zOA!kBkyOoOfaQBf|I5Cw@XMP%0}f<|qjAwhVSoOh{UaAPHbVCIExw#@m~prs9*giX z(4z_UALGQt5W9smb#&0Tb%+oD$x_@{VyE*kCL$&toJ!Yg^47KSh4C?{<~=Z?PmPQW zW=U!qe_0rUi*LHR3I;9emrvT-*|mnJw{qAG5#7RlDn2TI)0|1N#`A(C)$@w@umMBg z*H459+8DoMsO^{fvs$g+@uP;yH&J{VFrtCQ`TFE#L1Dr9*xRq)8?WHKjH_KpiZi3@ zGz>}K8``-qv@xz4d?Cw-hqpahjyNb;YV$7P?|>xXk_2Iq1QpKRTIYK@9U6-ZA*mnL z5rUIh(ngJmhH|J|QQTm5uD2vn)~{628FhYE<+MQ46RC)Z_B<-edp9g{AbwD z>AfC?cBKan@Gt5CFMP++G>lqfC7%!+FL9hn4NARvLw*1L;S(Z~=CLt6Uu^t6EeFFt zqOtx}#Ml0^LEMAWRs#%cZFfEof4@T>INFq3DJD+}PJ)-fZtG4ebc0(ag(t{^R45zx zZHqGr?AkC#yk`*v6lv~R)hf^a<37K)!G{0Hw0=YR&V=$vd-Dw+TPM40=DFyYxQr^* zz~mVrO*hb)EXu&F3V9Yl%I;hC`6`tHQu|I z$J&A1X2f~3%1Frvm)KjC^k4`2!eq zinRNL#mO+1=AY6ETGlU~k9LPEtF;dOxlb$B5x(~oez#WUyB2Tp(#$0LyO{>Oh!O(p zU20>P{6AS;@OdiE@gGa2GwZVBJDBxnGS4VWKmYVQ?kVfj8)ki}5{gnU=)x3p+p4IV zPWdz9clUeOu6HWSaK8Pq&f1gJx#uTw5B>wEBn0fbqSk56u_gpNf4D_m7H718NA1YU zby~ZvIyKNr2W?iJ5_mi4cC6GrI(7XFq%w2;rE!7cy%+_DX-N$_q7d8~JHZ?7!rKSu zn|8B#!%O;>nfQIIa`6I2fgNWJ$wJF3t4e=rvv({H#j zG)l(t?A_AE@4CACYQ?D%+S(6Tc89XKegxEl5ey9EnzBH027-X}@r)oPWvU)p@?h^$ zrvj-9|B&}2w`h!M&1**3a`uqcc~@8__&E(N7<0Yf>Z13Aj_Dx_3(Kah7?J@ad<1tr zX$*FL;Z%YQ|rlC@b|LnzePO&@RsJ{3ZRo7?pd z{2xgzGt@sM`?EB;xFj!%9n}6-CxysKF;}1noC0r=PRC_UeT4^aYw?1$BawJm!t3nF zuzSQSD<6WJTJZQcClG=+^=$3xA0UCYfDcN_UUu6j?S`M`+P z^xt=}ur5apem&!m^Giw3q~JH?dn+FLTF#pKS%zVFY{ZQO89aG>-e4-Kui+7nzLW|P zWRgs|jEqFTet!toG^f(mNuK}f;+G#p_#Kz(rn}&@HTjb9+VV3deqvyGCiz|2xmW&l z4`X?W%#jJw-&!>_eLVH1o$RXHM$p`#xC#ALF2#B#7|d4VerL#W|Ngg+jEM#o-M%R- z_`0d7@vpp?3ko;Bi&s`EZVP@PgM3te*K~w#%jNnYBXUXYJQ#s5sz-B|5=AEB_(P6A#mR=@Csb4>O@JIshXC9CLu4~L`nr7p2vlC6GOav*+P+gUQulG(4U*) z9pZOfbGTn7f?vZeC;F6J*UD)2f&%mG-pO7FrFi}`k^v=%iA?T_I3IXu2fqn5WwAykn zZS3h&S6BDxC;iwJ)%p0NqT)MAGb5w?SX!c0S}rb73&G6c@#TlO&0S%g{zb!w%l72< z4&_V>JNAu@NQ63XW{)!vh~*WN^o9l*s@3J?n<9FzEnH-emyg!*@GXckUKXXK?$YiY z)``gf9Bpoyo|d0=o=x96vv)Z14wDyk(xO3>#j{{KqIS6vO^;l@LLj}HV! zUz}8k>54xx{y9ym`Z&~poa$!h;ruf$YWddw^JBoGpFV&7+8hy9-Kq^%PZWO6qpYU=omhR*E1thBFHY$Jzh>&6Hny3h^R5P|5}n5BWikI4d_ zc$JDwFJ8P^WVnKVhCyS@&EG3U0Z)mVGDmj0b!3Xlj_vXQ3 zdH<(l(-E$9_e^98?L+O+S8aYzJ32GI&#uy^V$f3EjR8$4u9>0Wd&f+((uvm>lIkQl%q61~w+pI* zoYgJyekxX`{^T}vCdH3=#KI!`L8|jlD6Px>Wd5*0+rm1}-8Xs%n!h&ke(jFRYijvl zoGw0eU?7S7eD5(u(vzr8eIp}W8$GstOV_)PISDSY(8piQK5+)6Z;ljv>WJ`#im}EG zEA}Ud6807Kh%@#Enzp^071R8DCoo6~j54`_q1VKe_ujg<*QF=P6e`1Su@4vK=9+BL#+Y*2NXemlTNe3(7-AzGv!7mqXEwin}N@g-V@elEQ^gp;Q zy?md>>FIe1MDAw9@9;-+BO{sIO)_KNOK|+B{3sDHF6^VG=GWL*)A;!K=DAdSK|$cFk!;%c35q1|6iqEUE& z>sFWQ>Z(!WymJ%ut_=Zs=|9?^NqN-IG&euNm@*@{+?Y9;;oXECW7F(sFJ4gIyI0D{ zO7iB}MvZ-YU*8R(R2E7~N)F&90ktER-;?@<8b9!-*a(cOR>)y(xenP7F1LsWLgU9Cv9$T#|4c5T4!pdX@28U z-}bbZv-~MO`dmfHl_XY`Ow{ha#|09;BE9zUd8QYQac0iYA&8l$7s*N8J32lD_TsH% zDVc`G#^25^@8-_iMb^7_9}CGCx&Jlcd`{P%Q6v}m%;0Ha67l~2p^q;XO;we%t;6Za z7FBa*RDM$Zxu=>Uv$&=vr&N#@{&G!CZR_kTq3#@P)(Z|E5FPykj3DtHGUVW+q@6fI zftJ1Be0^z|k^3SuvpkM2r|)D#ZnZByODtG5y?tn3K58;GeWakLhh3{JE@@_9a1R@n zp*p*nsi>?RtpEU-5+8qkIEwc_Xhifs&?s#Gi))~{1miEZ=MeAOS|&OhB_-Oxw)W^( z0R5i5*kni+a)^DTtEn2AI5kz}^okgmw{5{QQaqYVifU^Kgi$E_L>2k(RV{ z(05L)+=4vC>-t}1k-wx}96{$1BLDzwx6i=E=0;E#XDwyf;-eoy(h$hKfX=^to$Wva z5j+w~KHz8HV2$`-yZ@KNaQ(t!|ay(`>9FH#&38Kbc#1oO8eA&g7lpa~&z+qb%VQ*LMge z=YdQJoXf}Yk>n$fnS`Be@H%XxL%jL{AE4cf{>7V#zjl9!9@N$KR=@lC;4_sS(#s0F)s;gia$S&X^XOd z%e^QO9jB@4izm+3vmqVX^iosgV9IyPkZZ6L0ZAZ%+d7~1+>du}yq@O0$Qu}mMO5^% zcl6E@6VivZ)`jFREdQFUmv$V{** zOqeyw9&e2|We)ymC*Yi}b>0y=*+YazM}J8iR5qKiZ(s%t$BRRHy6tKN z{xgwX)|2h2z-J0i1K+)!n40w6TmM1Vt!i{Iq!PWR%uv`K)4fLE!gfc4+&mm$9$nqQ z*j19d$;k$-OD#h~kA1MP4Zv3gLX6@a&li(qf$gy2VUseDHJxQ*;En*C-Azw zPiNUv6QJI7Kv#(RKT(d_{|EEf6J-?6bZvg76!nZH>02myYU`M}Y7*|SBF=Ysm_Yhn zO{6jtsZ6F`<0edrK-ZAFqHYVQs4^1OI3fjr)+wnjZ?EViBp;p)t_h*xx&HI%$52Au zxf`X(Iq%uYNzc7wPu2$;0N0CLuexjFg#9Fc&z`RQA|f(2lm>c5d=rKh%ce0ROjWV| z>m^L}MLQ|t%G(!8HT=nTFlOk`9;070_-iLlhF$iLkm+ou9MQz2Y2NV@e3@p(<}t;} zFYIHLU#ws`qwr~8@b2ZXzL?paOBqf5DDS$%V6I_xZ8msV z)@*%^Jz+@~{erfHzc5EX-BO`G%zw(N;XZQcGn$+P3u+_s{Z7s29e2-mrC|CDGSAI% z03{AG49>Qi6@ZB5bLg1cF-ZkUN2Db9&Lj&xXUNuX#j#k}?X)ELQ$RSXBr|c~Fi~Z~ z5a>733-26e&_|xHlsL@aU?zS)wxcyTae9$f<0SluJMyvSJlc$^HmSZZ0z4puOB_)q>hapgQyb(xmTsWH4yPa zA3$qBUlLV~9nhTzOmDv5-u{e_?{0~Hi@oM!vA>oK%-eUJx6kgK?!niifzv%|&&8>D zFz0?9Hdx=?Dir2VF8ZA_kfTkV&&^S^%Ibpp{rkj_Z~-M9od7Pgx9J~W8Lagg1%H3&<(p?SyNxHCWu`&-3`uW%!nK-qYR;rV>>#K-T8Qn>iiX@{RJ*7wwi)hik# z15WK0W|*YvfXYGd_d*}q^ueEDk~zF{R|EzOp^ImwVvKBTS#885%Qqmup0z53$N4+; z!~EX7Ni2R-7$x=4dGT)FcPa@P$LC9X<9=uAkk{gx_rZHg4Uu<3bdBn!zdN7c{mwJK zx@3*(wma~MKR=4zC|_t^8(!AZnx6lrc9k^<`CY5w<9p#k%g>bhNW^ujK*XWsA5ge; zlj?tvg8YCMY>~XHFh(jOCCPvG0`J+XH8aax6I7IMV#>KwIxZ?=(yq8ZteSL2J2@gX z0XISWJ3m)8)(hg#S&!~L(8d?H%?4X%3=(ElslT zj!;UzcU(U>R_sfSTZC@mKJZIOAkU+FL@9L6Yj1xvV($0r8G8SyIG)?;K8U#LcdQtW z9p^&4>r3r^=fw_8b&bVhlLUSHdBdm9$@B*T3BMukONQ^l8;nDKTd-agCCOxdH>{>G zR1GL8=OudB^f6A=)iKp<_dPL<+>HbHeVr&)#Q?&vuLIWG`Ok z?+;hmw7579NcSVW<^tk>yKkQQQcKUxq_n#^{bTdZWFUIH0?P;@ErTAxCrC-7nnwcS;yUsv0$5-V5b!IB9N4{6Ig3^a_XV}^@8a4|KtKFLRMj;!=9Nn z>VA6A%UDwaLIU=?y1HJr&d%?_UQwvY=(T&0IJUGmU>xPmo9k+~XoTzVNm-LeEIeXj z0~Iu1WOsg{ERx?$a#+N+490$^=K9RwhP}f&wveUO&M~I|8s%Ti*g?4yA8*UybWZ7% z`n7@5<8;OBM}t$yBJoGU%1UlNm(^RCyMRZ;hL;_2q4oy1>7hhhHI zZ_Uj)U{?k&lamud5>BpQxDt3f?-e3G=Jee=C}n(fPeE1ltBWWaKjW#q%QU-j&zEFT z2Su~Vo#4CFSn_N%M9VH;NNUoFx&U?rsnPY3VNM?(Rk!E-BsJ-Ous${(ZjBTK*w%7dOt#nVG$3@2 zl3iH%R*_Qn2YBFkO#bv97$kO#3@jwFxj~b^OrP2=HsA_Cwn|lXyPA|~P?>I~Okf1qwPnG6I`#W*bzW_apBSjkxE`gUn2Ips&y@63kd#_?l+w~(jwj)LM#tWm zC2Tf@12SykJt^fpkpg~x6;;-}wQ(t`zKSMedi}>Lqudu5MRB62e#GQR(SF$waReCX-V% z*RN*zyBh2i!MFy^l?)M#ieaP?M=Qg;UusI*+=vG6P;j|aj3Ulfun_u<)A|YdRzcl3FZYJgD$LHkS zdxK1bl8ZhtuzTn3%z9s0zq7IA@&Yd_OFTD!Mv}muSyJ-4u`%g(GiG+$siuAh=37>Q z*w5!Dc!hnFH%VZi3zU&&S^RMv93+9z&?_>Luz>1nn*D=Z)KFm#yLH*cR{TPld^xHL zpBI}%20gAo3QyPN_=myHD6zb} zz)j5nOB)fVmmQeeP*<{*izbVShxDIt*D>HlB7s57XYH{J-mK^P#zt}=d^0ge)qlE* z>iTf$FEMRSP-n0}q1E{HX3@gr#Mie&U=;^9t4`$m<&+@{oAV=^taym1vJosC3a%eX zx5&Oz#mB=Qc~ElJ;>CrfL9w%=01My`lr%7$^SJwt61nL0UFGXvclBBx?>$&Jan1g4 zRJc%%EDWEnPT+79Of&0)e7!bHU+7d;K-HZE(~QPq$gw?q(v;p2R>wxb#q+xGPw=my zEh@S!yz|6&cXJ-Iw!rK|Q-b7`>JbeW(;qwXtz`vFv*6hWlRvMa1JPrCbB zmISFETE0`Kh6riu*eVrL0o^PIBT0*WGU|H`^8su2)<+lUz`~QuO^1ydI2J zldclap!IATc^lOR6?GV1EWG+Q0Ws z`y|KwY*yANmi|tn4`F}q=p@S$lacn%_J`5Z0=UN-oCS^Kmt5%Cp4TK~fwg({Rlna8 z&b1Q@iXcJuvV;{E3#)g`n*N?!p6UKLn zqtbE$x+nqTo%?Vy+xySfTC#3LqY<8#TFrRv$8*w<{Gz6&n@DY@PFsR0R4@0(UDP+X z$OZ9JnN1qd@^*|mZpXL{oZPkPOO}w%{vjBW&Tcai#`ns~mpjY&8$Fp7Q=!kMFBaUD zMaU4<=$V=$yP_Fs-#XOyYTqh3pfq8z`U^Jx2bLllF@GsE7f>`HL!aEE4CBsLxC%dr zVZoK&D_YTgh$LmD4o5fM`4*J0?2631BjXR~gT~v&RG*7`dZ;%lE@pXuHcYJjk)Ti5 zNFes&vsL`@qNMhrY8ghJWI7{y8j(0pUxKXp(bCZ|+=U z9M|l)wipyU* z)w?@4!MR$hJurz)P%P)uY_KI~vvhqIA76R`LrLj!`vBiLFn~kseT%+-pvkUQTuf8x za-!n-bcHPOOrttV%AImA!@^$QqiN$62&T(LD}>h8I;UU&1Z0mun7*%yEVK4ii~SZY0%GCQSIF)81>#pDBTmqo3K(!-(tFv+ zSQZ?ZCK4&9)nGkbKlZ8JfKhQ()ugSae^B)N1s257=sc`Ij_Mo8PUJ%~9Si*^Aj>4- z7UJ-czNTe^{{%H#uGKML(N29gXNgQ9ljPTUk3~^S|P$(zYpDb)^Lk3;p-05O54zo4Wt*0nZOv)7d*pu<#JihO_InF1Q z&V~O317Bps&Q5c>P|iP&q`&=HBjSBAd&kfM3IIGop2lHu#i_G?RkWO`@xY)|cRX=>&SrJx+FEPmbACKOgDF+)r}tR&>cLMQb-;l_ z|3pMUO$};RMug?)s>K%Ae4sggKGYX0D>|lXd#XL@Mv6pMFQ)7kJ%9Ml1qe*=A3|$$&2aYu zGsq3*Wl~ho0Fi}sZ07sqD95wrG|$Z%+T!-xRvFIJpX`3T)wAO zLd=k_tMhXm0D6;&h_JP-fK)#oyYFY_@p>L|(Dj~^BQiRzbBHvKLh~(qACdn^<3&ko zkta-#j(=rm$H+rXq@8%B(PT@saZ#}`{~Kg zN}siKB&-hG^_-Uxrd{XGIK%(K zGCabKHAD!DY>O%7TS$#PkIQLpfB_{YDbrsYI$LSH@hQzH{-@;G#dK+d8(lQ|@xL_l z^gt(-$RuO%5**qndqK6U*AT&}y+o8e@W4;{abDJ%3OEPZhFvi#G3k#TQyb%3J?xdye{`_d?dG&r8b#<9{zxge=(vm_e z4e}=k*;#8ls*J`~cPIEw16h2Zty;cyegZ1d*)dsu_^GLjQ%p$mvV1GJ3TFLRJhipx zo;OSFjIOo}(9qw3AtcBd-W4@9ebM9=Bp~Vi3HA;U-QmI$+y*w`Br&XV>!M*ep-u-n z${vY(S}%+Sd8=`%&nPx+jd@l&3lgrk!k|Q3+us+r7%JO!CyIoL)TafI7Mg$n*@q~l zY#?6Gqz)qzjwef_Nm^+5xLj6Pn3sDrdRtXd(U;8nnT*Ae{}WA8Ywsn6q0FPLSZ?iH zqZNk11E5e%BJ)F)_I;w6wfy1p;YovDxP4Gqin04GPyl$@$8qFuRVm$E-3@jt7k(QDtv$8Y%%;LLSHjGYw+1Q#qNQ@l#X3tBMe= z>+1G-?gB2Gi~9p#TTFF#4I}wUr96G&smM>f9JbVmUe)tw9Zcb1d;R67P8IG(GsK50 zSDA$!z}QLghMlRn<~Dp%RY9=tzE{UUHQr4X2LWQ_>fUjY;?1j9Pb__BgojB^Y#li2 zPgDAU=uze%-%!+q_wsN}ndXjLB(VE8qf{IMm400hNF`TVm~#H!pL348^)~}!}(phJ$wS*a&_M}dC*Akmev3loTLmhwZ*)_s+xSoRD zG~Ax(J53HRW^h<`EOlEb7up}53nmF`!o$VY+b{XU!W*+5bHx;5XXhk1&=3`7ClrJ- zla%qrb3=XE2l4=+j8q)Xl znV&zS&Hxv@ytejRqVn$MOu0naA$GfUsfu}#Fn18*jD`bZ$?`~$SP8`x*(4@egVd~j zPWw&Q&25F1LUtP+L8)OnSJ&H)KY!lK$XMID+yrLmet3L@{(#ybh#&Y17gxO9*mSvN z%gV{{`Y)5yJ`b3#poVg9k0As=&(H7K+U+rfxc%Chz_>i&|2ctEKx5yCG%>MOb6Vy# zBfEnHjVwP)Qj4RN(eC%I#emWHxz5xAa_dvTf9A4GS+RbyK^$WHvWIhO)Ik zcHP-DG$AEP-@l6)*oDf4IJV5_>6c;4gI z3P_m*!bkQ!3J+Cy^kYffK5^{dHWA~)sAJ3K0D7PTlK$VynyRiYavCZTM({M&WpX4wiE#brZC+1Vb5)ROV3d!yQ`Uu^x2`J?=qd%wwp)V&1pruY}Z@Gw2(YB zHKD%vO9cWDMFa0uhAiSiSW0N<%w+UJrtLLgXh}?a3&y|u0*kfq28=l^WfuOZ86hf3 z&`ULR+@dY3ae9~*ui>h57=7eqjKkUnGXq&0lyEC!L&G29kUmJ5^dy7{7ve%rmt;K$ z4fVT=6bBdA%uB_s(b1r0^M}&md|L*it~#~XV_cl_Zf<^kWP*s7YaN^WpAV=+CPY_( z=UoA^26Gjt!1Nj9=%101BCfY?EbK0+b*hC*z*tJ;+bSxcQ_Q%JNPBy;jWoyPyJaM;W0C6u;&V_W7GSC%+nIhmp5BkG8;1^xIeOIank2zX5GA(_m>y=2(zoG`gvt)UJ6qyxw|jQiaQ^;$=u=sGpb` z6uXP8lR9>@R$9-RZH4WhK_ZC%e>C>44Mf0o{CCc?;J-Cd&X3ckG9z9XOV2j^`etVK z3f|+Pj>hLN_Dj;0Ap+Z$eWzYE>vnNTQCCx7}c% zq@==X>ndyGV1)`KPIe|awG9j~va{YQ@t&pb-6=1{E^u0T3BefPY2xFjF_o50d)eR$SC}XX|gL zW+f}Fmn;%_+{*fH1nd}>)P4hqNHRgjS+ab6ofL^+&Mx;2gq02pYer*Xs4vjl>2+qi zd{|mqb{~h(w8QTBgzLq~*eOIdgOoqR`pr~?(kB7;rq_FWz_qO*Bqv90II$AdVx~pH zgN>K2x~+`}K^TLsy|wj=$%~UM>Ub9dq676E(Wcww>*HfS9Hx(7cU*GCV#jcnr~e(@ z*QTv_d*fM0KSP=#y1ID4DE~`gj;=-bR`Tyk`OyLkleABtb{(9w$71>oPOXDQUywaK zckvzck%M4V*=0+)K)KO9y#xc2tAX6Ooa^1KQ!z48`m)AG0IXXL1G@_fASznWnasUu z+L`bA&eOWxNtDi~;bd=jl^GC+8JY#!GD}M&02?i)(rP3(Pect28C@gwI=)vnD@?@d zD=EKb^F+OkfR;++fuR&aDeT6>+edS|z*8wRyTXdeNRVb`!DFy}^LP(`*}(T7u^W|$ z|EE0Ce`6fpu54Z2i?j2N0yLp3t&WLYV%~HUgHqOvaMq=Qu6PrFd9q!4zgj(G^CJ5G z;aEf(Ny+4$FpWZ`VtVCiM}t5W0Fo2#vFynyXoO_?1**}?XL&s3la;2?MKTJTspGn` zUG6||DPT}h*c0fR7!G=?D<^RJrCbi?AojJmr;a_izhz-M?uKSh+iiThmKt0oxL&;5 z-r%AB{PF^z2m2p@Bil8qZO9OkHIsGIC$1Z?&y*gZa&u{(aAry7yM%;+u{xjIiL*)R zT7vaLEUF~op25U4^8|q;l1OK_M9HVODXEHASY60i&R=D_Ph`aBX$T_5%!rYcM(u0M z*vSX$>=EU%(?Msk?}oqIx@MA=reiRbW6;v#A&Hv-BJZX9EMOeD*kDHln$U`RY|~4L zE<>uptz^LuyUW4ONn!52q2SKl-!C|c-QSleJt7B;joo}*d7ue(k(O3w1%14Mdt~I~q=(B-7&56GUoPOtP#ZcR)x^NXXl-vEg;bs> zf^b0y5>e1b|v208^cdoSGTtI6#0^`{2A2Q1h)}O=g1IT zK;N3Vy?1ZImh*r=a)avVoesyEnWGA-se>~%HrBY%&@g{Fvat|lud=j^&90P321W!> z!*F!KZ!x6T@pDu1FD8QLZ-T1$d{mMN>G&s!JwLfMS-@@^0P>zivcSGV@E=z}cuk=RvDa*X6; zse?m$aCp8{3rKjAbPGzmsIYS9ZY1M$FF*)`sg?yCQucXmD8UV_boSydn7PeU1fDl9b;oo|`dJV0b%1&QtuOvc^JoN!T-O^Wd|| zx#3vw$nY>Ds6GAhIMg)EGA@!d)h4^}_79u}ON|())@(T#>c5>|iwi51dZmvj@g)oe z1P6=vn_%2~E{ra}0z?n@dXr|qaC*nuHGd{UH3rY8$EcVkyHaz{MeWTUqi!&IQvIBk zn^Rv=(KF16`0h92|2OzX`M<$;T ze8uG9)za&)4rnDTmrS0i0%y@IYG% z=vax~u-Az05@SC^2RTunR2OvmcQP2 z{dZb$$uNON;*0O|Dvq6F9d}T7r$f1AM_yYVpmd0W!mpvGtxZTFllo3k@kmwI6as7qLhH11khh{?;Q+ zi0<#3qv74d_kIZMURzCbY3u0;t~N_Kxp$Y;$J3>zzF~AeL=w>kY}|nXv77)5%`@bI zR5fNcwmOZCJI{Mo3*q0;Y4*$zMKe7xw*-Tr$@v*!(tG91G-~QR55F~TuFjqx#qmd* z>mgy6m=ejKhwJz=o=RyFke({&(Bk9i6)kr&gmD{+WWI>dfxr ztLXpmzqKS;qW?p&(^oT0FkssJdB4NG{y@zN-pm+w{gbS0*Na{gv%T^_QGp{Ap#A?p zU4Ye4V(&m-8x$HE8Z}J~((x6Pu~N-<2H6q9wP3=z_PAvc+tM$a(LD+4fI7K_hc8?W z&3!}kqd~2^_C1O*hJR(Y$m-l5NNmOFPpYpg&0_`KHqAFA<(U=JDN^`#Jn1@H^))p- zVbVzPbjh;JA;Aq8;p2)X759a`HHUWrf{(XD&Md6dRBHyJ;ZQ4`&l#2&2EX{ylH&YB zB=(I{6$*dkr_e~31M1&m$ZzX$(;}hruoxc#+Je{-20<7$dLk5*oiY*G*V0J1d^jQ^ zBC(1O=w^RmY!~e1hAeZe=7*E$Fv2UMS`NF7h7FZ zIouHrGV<}+n;M({)rUW9o%PzVR-ap4#fmJxoqU5&r$aeTx6ZLaeG^Ht(Kpg@e`T|p zp!+QOR<$se!_kymBs@86b@eRv%);j6jbF$6++5*(hC-$93-#rC`%`x{OkjHiV4N>7 z2^I(*9`Wa zfe8iR>Iw@8V1eTcC~2po+`8Y#T%a>fa^h8$l_OSH-vZ-U*jRgTJjMYjzioX0mFd;D zt{?MaVwt0jz-A+)H*~gh%m!+Mo0r8A<*13+!b0=*7H8dkdbuCf>nqi8_5h4VxnVM! z6$#*TYc%KQGrP(ecJx#FvbBw7p!A+^jWN3a2#G)z)ghX0NX>l5M0p&R#Ch@F^62&| zza2v&q*qK5^N^U@7lZOIdbEDhj z(B&Oz8J0Y3nk1yx#QZ+xn4ECt08DVob%77l=;WD_!Nikix5m*cSmitpzaFfm1@C&;HK5sPE*anNH+`FNbaigL7NxN1VNa=B&$r^X z+p#XuSivwE-2jd>32!2E@FwN}9Qo(rB?^!p}{0lQf%FHCQHj?=E>BF&zqU?>PTCxG4YrDsBdQX~iAl!oG z$kR*ve&)|5xjn_PpAMg`h=0J6YTRv5M*2sgU9}8^53xrj#K=k(%Tb;7NAOqfrRbh6 zy|AqfjkR@~5PL?X%#xa#z5U@sdX$cZbT+$mK4(c*qH)F47oOcNIyl&Kdo}y=yQv9X zA~z)3W$TPy?mW)u}?5xq2JK=UW42=c9XMU}2|Az*W;aJtUa#SZ&M; zi;vG8A{Cs2p2F@EQf(5MS;2q}>UJ@ih+dm^uK+SpXMsY?iRMw1Nj6?>*(fTMg?b-g zh27Te2h&ap!r=Mdg7SDNH1kh&?N;|hl=UxDlYaOF3uC#YPwyFAjuHMrTGbfA=M`p< z{GXBSLQ!-vtgEY?RvgZj?9$f|*>-3P3vQ^AAa|lbB1Dwv6;!XBN_m->*{LZo^-$8d z1K!#FM+>T#lTP=Sy)`>Y>FK^!3vD^!XPcX9V4L^-<~f`{Kc%+SGl$T24~h&3o`xp* zg~Cet2rzCJq=@k|Yr_GBs>KP{bOkEH}yHQ&hdSZso5 z*^1Oe_2x!Mw=OFvD-@8>ps*HIl%=%eAfVOdz!tG&Q%iHi!5k+(P@(Ou=eNnuY4@f< zk50yO^=Rq_P*-nn?$0Lt&=9b7&5^1SNwYMitN7%_vvl_N0{`^7|0UOzs{uS9*Jx{Z z=KyT^2Y`M0#qiLenh1B%8xV>N`U4-5wO*~Ht6T=q%*v^%2EjEFU>O@Hvasc70{bq+ z(@xFu)mB-)AgSfb@zms~U}B%82*g*<`^7%z2tUNc@|umj?~-a0nY@vNJj~QtXBGKd z&v}sC|4dijuLP$bL-=%#D>lyL$fF7%V4&k!Z-jr`+y8Hz0|=m?jN6#JvQ363hN7aU z%if!(0i6J(@SRf8Os|$Ooe11%h2#APTaH7Y%iy_VePioD<%9GtAO69d7NL#f-i_uL ztFFno(ADiVXmGO#lQNRph>*};(#FzBgrrX6tLX3AKFJIu+e%Yq?9io$$7Gq77y@pA@?zL~%k4f%(;vX)Z0MZ^(_Ra(zp0ee9kWx%m7NEztkpH9=9z9A?M9$H0gHW53&bxQ^jrg7@!@#H7LmtgLEhxDFQB{_gI% z!@(i@OU-;adrcapqz}oHt@ONeIK6tOq#GF%6B8Iic>{68OeZ6GoD6a`1DQIMLOnK0=3qziJO>l>%se`P$czIW?zB4e1B@7t>n zRzBWna>KV=&%ongvH;+%IaEm_^s&X#)$Jjx>Nf#}7QOIis8!pr3fn!2#Rg}2LeS=m zDnL))dOzlvRaCotcuM-OGxzy_dJ;rg>?&hQylQ0>oPW12j;zl9G~28m$@1lEjYNYm znhKMeTR8tvTApupnPT7Q>U@MCg~y&;8MZT1)^nv&Xz6W!NpVc^HS#X>wpkxg3+S91<9<)wNnDNJ(QW^ltZDHY|{T+SL$Dsl0AFgn0@@wioUnL%!;t5)yvXGYTF&N65)H7NE~gCn9F@WMFHnL8j1(fj9R7 zy?@K&_J!-64zv+Z8V6orfb2+b#cGy$qw%(}>vnJL&xjUDaSy&jQi+g|wb>PH@NFsp zchgaa>!ZRz0TjHm;@eZ0%bOo6VG^|7$C3s4Q`;vhnmrd$9(V5|UgfAu10 zY>cj;P=N0+KTka{DwFjiDMhnu)&;1u6{tQk;PUYl@Y>7Hf<_GcVD<$OT*SDW_DNii z$4jCRm%67W^RJtRn>h$As}2DpP$Q9hEufQPp&*;5Mh+^D$alSSxQH|(LdG~ zj&DL`R<85zALn^^co<}#56sN4r1Idc?(G#!PVei}D$%^5=;|KJ%FEmMI~f?rmCEA= zb$uOCQCAo6RiUsAdZ@b_J0O4)lT)@xH6cB4IG8wntC;P>`8I2aUvN$n0thrgV-bW! z-j>ca+i^MFpy4p3oR9K8W9n*Z>jA1OfyF67%T_vo^YT#6|ACPY3v6YY#tzAU{L~X} zfo+!FpEsHqx<)3d_>W&)VcZ>hdzf86r3VU8pW`LJXnjU#xYwP2W1`0HpU^i9z;;cU zjG~GLv~R#Gm>|deq#FJ1>RjB3LL~{$muVAJj>az3yY$iCJ6Rj_%ld&u&|GqT ziRDpRji#c0NAmwrxKqO~|EG8I_W7Tprte*KUbc!xP-{>G3DY(ad0CZ)pybKn$Bt^* z&;5O@GP+KpAY%%319`IRM7IY=qbVxJ8AG|^?H7N=yR9O;Ca;zhw>YjwnkBP#rLlU zbxCQ>;?PKDacwU7vget)YeVDu&65uaHCQ9lC7pTZpvHZ%N;# zAMQ5U)H^r*V*YS%e|^i5ziWBwG968I+ve;}bs*v$yWugJxzzHy--tZ$d*?z;M&~qs zFVh9IJzjkB+iwf=o$5}1>-d-ijk(OP*%qy?$05H6yIoxNnxs#T`CPQfq_$1^xvwcy zj_NiPv~afF#8FuaSM{mV19L26#PErzS6@b-N$LE!t&Df7#R|~qaLtB#`Hb<9t z-a1WkC6d@7<#&JMEL3+dbnj~N4D(hdciP>T5SE(vh%&y(C>m6IU)!{gzj$4XE*G1U zn{6d?UtXG|PZ6hkoeg$mEKF5)-*Gu}_>7;En;k6`U)9?9i0iHCd8$H%w-uH)bWMAfmXeQ8T$cCheQj+m(wp8(tBWh56;n5# z=jBmgLMK8{ z`^IIj8>5UWX-H{PQ<2~2Xh&czd=O08mbqY~%YSQ_@(Q7MabJpY*1fg8olN)n+(lW< zRYO^seA&p^BZ2SHwpkW;Z7u3=%bi*4%QM^bj7}1DLBVdzr%xeqQBfNX%W2Fem2GF? zCkFx8-fSNTrpM(Dm=&kOa4)VlV{~WupCGDmPXrX7|Momba~s6Borkwi^LyWDnirH` z(AO_CU#+F5&3ajZ6_9k-eMOB{YtwqvxSZWYwc0wC;*uOOBXZ%8@X&eOyx7M*WGnppN;8dt4mpGe@wI@+`HZ$%8%wtOE>$uJKnse^ALLz z^R;y&Z@`>{!r}kt1+a=uw&3BsvSa~IJ0vD~w(!u`+l%BHne*cZNgOe{B}6fjF9&Qk z9L+ssMP%@lh6?8vwP+o+rpX>pS;E4?nr$6P)_Py1HF=CkkdybIFfspm?^3Q^cv*vK zWMaH~Tgbf3L`Fu&!s-xG#mro@AF*(G`h@@95D`!AWsh^-Kc08a#I2NTID=Vn&x|^m z-6K!O(W|ryM{Ka$3JsC**e1$REQhsBYF& zPAGnljgh^X^Yz~YoVPKTJZ3ePT8(o_ySmHnPEfJ%m`b=@`Kr}nbT%SS_Dc_8X8%Ss zG$ab>o}8RGifDwiJsg#r*)8+5-fugD(_Ea>BA7)&GAJfFJyn9VHIi29M5AiDG|0Va z%XPKg+?JLL{$d=v$&7DP#FRIa+okqf3-|n=>__45u1x8=#{kb+K#I@W$@Z-_f%qF@;}3#RMpg2dTleW$Qy4v9?hK3C-xGQraYohQ|1}azmMr|2gXuO(=*Kn&RoAu&}~pW|Lr* z@;2Fn87p8`{^;0oASBrJh!=8pj@u=IhQ^^=Wv8Ob=ieS_6RH$-Ev>$V7`-F_b9U)rYC6^BS%9-d2mZ1z4ZkARdc1 zJMI0YIE8XyAm-iN>JRW&ZcSS6wnOh%{p;a=G?l6ppPyUL!l3XJULCLlD@-BH`sd{b zPfg8g=M!&9;Pk3{*D|XAc2bn@95*-5crQ1>yR19NQ`jsn&#TN$AVT*oR_;AuVdra1W}Q!-_Z+#D)OCsm&;5=zZhw6B zS}SkM4I+A)`?b$SfMV%w_=PI3eSg2RJ2bjxi;Q?$SLgmI6FXwD-OM%PGZa)J&VONz zLbm8}z0!Vh^=inTDgXA!E8o}{#P#Zjg2CYw` zKIZ1<4Vc%OFCXG2$1m9+tm4P=n~0RPJqO4Z7nCe&8mpNWC`3ocMyD3wLh?R+9 z?)SaV&;N*`@%$}g>uMj37^AeGZKWKSQ*nA`BI`a-`~pRLJSind6mMl`67aW~1#<<#X8SaxB8=q1P)%|gzso$)kD$;xh17eV}IHkjD4 zw6(K-{4nh8qo5)o5e7dV9MUZ7>6tpPekpzSKZJLQtlL}6k>t31@S9+u9l^!D0OyI!$yrU|RPEYQ8%#z@ z7RSpvYocy1k*vD{D4Av*9$&wTAn(<7c9OW?PEfMaxdd)+(J4Hik#RZf|M`~Ex^V6*L4M}RIS!}&M$lsx4Oo=`ze`=PPKVurEGFtl27l~WtbG5cAH=%&$Hc9 zoBma1bI3cfsobT<$H%V@g!_BUkF@b?jhA?v4$|Q+8>Pt)B-r%&n|uEIzmIGH=MNu=V!zXkXM`VAIYl-XS`j_sC~#sT3=tSh^XCodDA; z3aoAxN(TpGDBqOo-3j759=>ykv_Vz&8z^YAy@Y!3_47_S3Wo~4`=uxXB1%H9c?|fc zSLyzYgM}No)<_t4!`jU=s`1_MZA5F|+5DyR^N{1vJfzfCGUoZ2*~N70_n{s!q@3@w z<>On%5PYBctweGrsU+5pQt(I zJ4rg(X>at`$TO03KblE62cotqT7Ah+D8f6$^g=Vz~&!(^CW@X7IAcRiMjc-=- z(DSLBy|o)mVpE>^aNu;nHD{8LnhexeJ8cBU4NfNJA#L^T>bi<7__L(i#2!M-PcO zWqj99Ys8et?M_}^wTspX`v=AEiHHg-D&7bS_kNU@Lzx3S6)yOFj+uyPWKD{E^+UXANmX^PD z`41u@RHkQDhqmm2E|yAgaN(;5m&aS58(tNeJhn4ppUZi)yG7te?RXt~LPswoC{*iy z1lQiWvKQ0u)Hry8Q(Rj5T~Xs<(%MH(R%tuCw;_?T z<28HCtgI&Y?}nZhY`nxjgBmWwNcX94<-Z$jdUkqW=~-S`Rkg6_w-m599!%$w4i^8D z%xF<&pFf6Y->R9M;<$bJHZCDY&B*@d`Ec*U;jFkRPWRFI%~_XbK4ubu!&97;qBVpL zvYZ*o%cAMBX|&wMEyH8BM=jCZM@!rN9`}7=i|~a_W9lBWgH4M9{~u~`2^n#`84Gmu z^|*@l8DlftV-suw^b%q31}jWdF^op>)L*|oiAzWf;+!sq*ELsFDe=GD@ze0|D4?ND zgoK4DfTJ-};wFdB#>4f^wG^D$N7D_%~vr^spBS;irs_tJ0iQd)(2T_udN#f$Flid^j3*$%F zQ1Gll>Cg*`|M_$7X^4TUfsp@4YI;5$kcPYw!OT8?x6Fg+*XG;x%gakDa@M1~!N}ln zNLulXWOUJI-A3uCUVV9m^VL@;os0V>iLt4_>4@(NwCMBq%`J?o=P@&Wxpv?1`&?gU z*6X-`8_LcGZn{uV28jQh$sRkVaE`TMd>Id8Q0U^i*YKjMe4fq)gfAn!wU*AzlJg9c znWXE7(~V2DQ%mR$wn4=)E{*`jZbpm30Y5oaSgoYx>D_VO)fE#GDyiZO7-~Hq3yO-A z-o2at+v<@55XbFmYkT{q?P2vn6C^3QnqbPH)m7Boyxhp!2T)DjmzGQvoP?{D3J8^n zs;VYDpDw&8DH`~Xor6SMs_kr^a@BztrRt@4fbhNAB zSs;|L*djI&mF4&h(?R#4g0W$E824Yo2lvn&Ek9W1^gfSy$=lpS68`$NxUy2Dv{d>N z)j&e`#76b8L8Mou3l@g|7;d7kDFzJt&U(N_5!L4_K0fcuU&~$|2fkOw%eR?%h7pH{ zg24OokQ6A$`|6G}zk@P}+H>~EOJzqY^x0|Ki(lCK)jORt##8gPG3o7pPldFEv0;4t zjn`S|ixB^9=PW3+H?*yjtqFO#PT9m&Q}}%viQIRYJ=>tH@vQWvl=>qGfP%qO-$O&q zX0(Q8veyitGEPzQUl>`Zy@u-eDDuxU&L=Yn52}v>LjH$TF%Sti8c94)3KDB(GbMCT zRjb!~38jh-MFE%GGh1i9)NO8NHZ_`7zI%IyVp#98bjoUH_eZ1NI+V@YQ&3zSS3e#H zianf-k%9_hwXejwhzQQb|F{6p6Bc|nwHj9wkvVqUiPMSkExHa<4hoblDe z*}|SZ&A_1BtC*N+{edmxO>d@#CTYtPJMhzuIrcXxbYD~0ycC#C=qHnygB%a%h@4zp z{#c(VSXt$cHJO>sOGu^^qX6(2%LPUt}-a|4agr22vrXJXTvG?P{ zooysn@D%)A=ee2feh<+_8lYuV2^FSy`Q}3m-a(>&hpFN18RJ@!mH7={na$ozY|lg^ zJO@-5c0A+w-H|i5(ZHwf3fH`_1d@boQM7nx-fE+`XbjS)NlrWr+@knv>ywRZ?&WCOw3`SqXVJH_sOgl!N5YjI6a++lfapk zefFUQn>ge5j~|#uhEf;l*>8HFHf9a2F3BbM(rW%vE+Yc|15jbG|9f?Ne!IzmC@exEB>iS(mR<89xb3@c()@BMkuLs)DpJ7OHR(*k+v6xozee(6ryN19gR_h$ z%^xDqAKLPg0_F+69slC0Lwev(*lh6kPbV9X>l90z?2Nvw(7u&hVtUz&Pa@|E7{8$v zQ0j;FlBkzS|Ip!%vi-|SBNjUY`~3^}xfEab1oz@-o)ANlS$VnpJ{!So{K<{R;!IN& zWVD+=`XOzoS|9vbMak^BrqHh#6)KEzNAeSeQ_8KNS!tfpr0V)-#!9=8;BZ7o);`Q) zRYX>wfHZpz-Qph^iL{MMt}49!PK~U!k^q!s1HFyrKRvR zUVzz>hV`qdVF|fWTPDdmVR2N(=p)X3Po8kd8UxKH_vogai*zU!sSOCWG=vZ)sC3t=3T@bQDZnPkm_b6Z*PNVm?7lX&WGu@@QN?hiFOFD zWkl0jqG($jFCY|^d0im_#o$c9rCHF$w32yiXn~GJnsl~JZKhEAVtctFUAKf6KG}2O%(kUQ~Al=>F-65@%w1RYZcWh~pZjolw zU7L{ZGu!8R-v2r0%ek&IA7nc-Yt6d*ci(HxEJd(^(!`bruu}93mfvYO|Gf~`of05v zG_XEuQUCs_&l#>=U5u3AXL}95qlqmUz^GWt9BU6SSqb(#PhX9_NdASw!nJqBO0c_F zz{vUG<5l?eK;YpWp&+1~5Wbf4h0KQq&;9g6!9|W|otv)B#cHg_3q_^3NXNBiK7CU;bNz4i%;!W@uU7y)?Doe%!(|= zNb~d9kf+oBXBZjCd;ga?DE4BHH*m5@S1QcnPv*I6GG{wC~~W&W}fo zlRMx8&K2ah9q#@_T6)k`J`l)}-^)eHr@mO;*GQJ-o;WuAYvYRL z>$J@aE#&Oc{h2pBtW)drdsGI#8hP+8j(uE!} znuKT@yFE2y>59VqJ_ZI#wQp+_`@8#13f7%-xY+pR4lSzsOM<1v)-&^w)1{6!SK47P z3pGWC;XjA>)uW|v$hGKH3zz5o4A7Y~$5>k?r*b|^kg`~*iMmz)6#G0iy@BFn57!w$ z+5LHHc}q>VNNfoMJnq`XUB8L8_Rt)sH z3>jScJ(Ks)Z{vP1*Y;C12$$?tJ`4X2VwA8kg~r9Z#oDVMQwvALhqbRlHJDRM`;SId z$G&^@Z0pZy#8~NMh3&xDN7lV5kqMZ4 z?d>)OlwY|Ne3?G`cwZ}`i420LeM6;yxgw}omb8h``s`#UK%n?eV^mE;=dgHo!$rT$ zgRD8f!%ny$H=$z=CQ`Gz_r$Ypg8h#0}A^&(!a#d<;rwxr#PK0By{D|4t|`AFFDiQ(lrL@FM{X)t`nAK!-6tsRfoY= z=lsrI(!Dubh0|5#VydurXjE=hXcV}ZT-^-CAQjTj5wDxXB_b1r5Ww08>WaV+b(C}q zhT-pnmT~L;WnbPyeLi)i(!Lo5`yZyE+?A>HY12a>02hO3aYff)tw7gF#xCUWfPV?C z_guILv+r-X8bI92YNOLsOrjpFMq+%&q|!8Rtnqlh z``uf6ZDC39=(w2^tnmhZ&fmWv2@Dtqv79iHWOY3=r;oY`8hoCtFXs5E!Lp&fwB4_$ zBe}E^vyHTaM9pdz1mK8(I?JLL5Z^2Mk4IIlzC^!fiKH4%Oq51J`3uvfTDvK>lMy|1Xn3Qa@{)FV|cdi*{D>^2I74b7D7 zzoGqgGFWUrvG@n0f;;C&%f9aJ^@Gs;Z^ke7(c2KNFpz@JQF{@t47iA?BWa{Udl^z# znn*L6{S=~(ba_>6lXeCy8aPCNJ_FgqmEOTR2jzvqw3^Tzn&I)Vml40I)uD+LIwVuSKZaQ1eZMR~ z(LepDIRK^!1TcPB(LgVne=%CV~L$dA$Ez= z5Y@7P9Y#f9AQdhK@D~7aSOACv<^5c9*@LzrdOHT>ctH8-!`f5}AvE14XL>ga#Gy4h zcZeppNC>xuk>K-3cBV{>fIJ@D$=NGM85YT;#Y^t3tzesrI3~e*{}@p*J2WhyBmbg?Y__cU5-7 zCGqoJ)Luf4%^Te~ApJKVa^v0dsAuG!%Gq*VzX)fReM>_V`j5`M`jMBO0^>1JJs0BEC7k-rkS#cbqKr4D5s+ek*HHS5;-wX=2k? zTudth(9u7JN%`M%JpMk%UsHK9cctA!jsGe`!`?n4J;p&glxb$UGm;0y$%bpXhd!$J zqFal)+huEC%lfN`T*uAEo&P?0jC0GThsS`8ht+hem!R*J0CRdm-(S~pANsHAnqtEE zw5oaRt5tk;NnmrAY3ef9V%AKOIrh;0DG=b#xOxpmCfw)t_n+F|gUTv+5GFm{4;zr+ zE2nFYt(ULSu#yY)Vpy6ED|Fs5%Xurk?mtGrVBIpepbrFK~6k7ByHRKghe@EQx-OdG};t`Sk{40=3#*Wq6$J&SdWzyK3 zlaz^t`ow=EWaRQ1$U{L6GUD=)nLZD|SLB5&YX8XaLP;~nd?KMTVF4>35v7v^I5=CU zW1~-_IKedre(r|}^cyq*2qw3Bg6~!nty4Lc6q>vjaC03hbdvMm9O-9k^Gg5apAqOk z+F1Y6R^1kGlDjLUU-+@UffCF9@VzyE4wL=+tL&k-^b^jG{eE z7izNTkWvWo*(z@-l9#pYu^O!{S!nf-vD09Dh5+#H>jyd#n0NwD>F9pp0Y5e*eTwwQ z+nn`UFmdUg&OctbHOLe~T;0ohe^;rlfP+@pnBu5`SthVb)M6a+ zVsU#!@N8%)g?nHO?-fRK`4ktQZuU@YYAQNCNfcc*10S6N_0ik8XQ&COz?*-759_4% z998;JVA$E~t-e~odc8EOkm&2m;+IqsZJ|2(mWHTyj&cfGZFRS1!}Zn^`yWM;)B4MZ zuei9gd%fTo+q=vSoARoJyq2Z2565c9egRXC3!W+42}IhPacGf?9A;9rgoTT7x9c1Z zM72_xPEpj8)iHC|f!5wX*<4z-JX*|~GdPx56s`J9RNYm$AhY7UeEu^ExyNHYz@DR2^PK@mvyNS z4V$8ir-9JD=+mN<=E+SYdt4#LygYAiSF6Re451rzF;7g?wSV$XURH|Q^SEdX&~M9e zk~|()P!w65X6|;g8qG!fN7VvfgrvayzdMlmmPHnz1K12eCbN?{EEflP#}8d>t(st& zHsi$Qjw>?8Z^P46-S*#lq2G;P#923+)%-9|br?ruZ>!>x@8+a4YHq9R^{Py4+kXfh zQIm8n&|pnja70R5eo85ezVJNZtJyDmS(_**aBrF6lJ&H3Z^Ntb4lrh7fH91!dvrI-Wa;BSaO_id%_ znHb@gh1ePdQ%}uWJwAfr)xYkV76FC}SDQ`pex7%x&V$wZmQ4#dGL|^Z2M$|QX6)mw z-G?d1&rck*&Dixg&?Du#&o^!E-?FV9?oC;e8#u|5-Zs7-W}b#Yv5jXrPXF>NJO~Ca zepHs%Yju3zaB-96@GgqL{DX#+Y;g?z#+1oux1=#>k{|~*)1mI3s!$|8W_R>P(QJYT z#uEBG#OGfRDTnY^v5TE}p>f{N*k+8z6N)*gyD1}$zggFOEOg-k#(7JR0`quinE%2h zT8zI)SM5iJVB0g$%yP;4*3G<00w7={lS;XjW&VDC;C42ae{JXW2`sM&R5orVi356N zH)lsnVTqKBRCT$+KuA7XW;DC&82D~|eW0TaG&4H?cVz!-mdY}Ct_NrP3V(1tZp8l+ zVaoE;)SVP1u*?*2ApfDQPm+HzGK%7fc%1bB+Y*QT9z6B@6+8qJ;k={I3!l;a;F4oEsoAg3X!*pMeT>fin6eG|u`5pfF$nW25Eq5K>(b zlMwFnbNqc|C&j<;arGbgINa)zP(Dxmg?-7PX^Dl%Aq)+y4)}9pDVS~Pm=T8VlxoAO zg`iF^(SJjP2(01?k_egii7ww^&;~+IrZ7;m3|n+4LrYTUkS8jn2WsF?=OHkj2ReuR zOCy}vUwz=1^ieNo$`px$Er4{93Kb8v9;k0Nb8cxhCPYF6TCgquztjyI_vQ3m{LYYO z_wzVo^f{!%p?B&mmrYPB=xD#+Z{xI8tSh&}|#Q_`T+Ux(=@|ReuBU$n`s$c5BC6EOAzed)F z)csa|TMafw;JDvBEJzj6eD7LFbA`I__Y@oN-^PD`!~W?EHhtmt@9qDd44{JX?te$% zi@zz!|Nal6CHYUC|2dcJ^ch|sMi(fs-u+-kL=*0$Wi*Xvm@P^~^O=874GPYL6lvL< zAscq|W>bbA5)L-h7|_shHu*_3HyR0)Xe+r7Zc`vJNlA1z0pQ1{2DiQ6e|w>ljB#>E zF?y$AO!=zB6z>j|HuswVxNh8tGFK2SO6c~89ectvz?RmHE>z+zEhV2#U`}2h5+NDz zqtoQ6`@^P3%Z-B~+r5v;|7Uwvr2kj@{f;NWY8(1Hs=f-IOS03)ktXx?y{F?FBLlLh zc0#a$@W7^eT?W=o?-ks=t z{CsLxe?=hOd{zmWvt)Dd`>~;vT?R73T6ws~N!Mj_K+F{k?Yv$tlqV@;bGX3ljY1lO z5{|<=J6L9Qc}e&X67mxs|Mcp+=?S2fhmqS?HzBlJ(_til`hjYVbHyvd4+%(`361P@ z1l}aMq6V@%T6=K!GZ=k&2Y%Mw4NRAuAosPfWnxF1W=Z2jv2Z=Ouu)ath4QjN55O$b-f*>BqWyleI(kSp^~261n3;V6N3p zL80(Sx5;c|`of~^VU0b5nc+;k(Ye=Tba*tC4f1XtD}o4)A7i_$404oIyKb7>w+UBO z2dT_JKJ!Zq2}L+Kf)K>O9{w{<1}{3%|u%@zzGvv zPG;R}%-o;5Jq%ODURMYNG-+uTb@*)IWtk5uD|=t2Si-AOJ^Ad65D5nCejTp`cK)5= z;jw$J6b)nelhwiQRBRSx8~i6KR+bTe>{9pRqf2A4Z>NV)?V7?8*hM|IVr z>s`)xEj@jBYEl|r_Nz4wY=B|HAJ@?JD;>{ewIeMRiQ|!5w;M71o(KZYwG&gZidq~E z3A10_tYqd{o)4G3%)l(yDHN}B0R{y6+SpdF-=Oa9Pj9;%H@{H*G1_qGPf<*xLfiSU z=3kbXIlNS~BqA0|fN1MhS{u6^&3Q9e0B*5#B#*O@GCw{ds*WbL$2lPQn?u4R6Dack@T7rR=0$IY z@y$ptE21|{la;YgV4JFgqFg6xfSP*bD~~)r8fNEU8w3#HG5*NN%=gV6<1AhLk#s%| zJov!(i#(o{+va9ycUoM`6vnXIfTR8Ks4kX)m&IeQ1H5Tb7^4&&I2fihLU*%Sc%f6{ zba{fzgkvHBFg-Bbs)3 zc@3R7{L#$5CdAHUd}92<`s8F~evJk<_dOTc$g9)x@81vFuWt5jj>jiozBEHc`6H`; zxBm?bJEv!0K$qnVxJjqE`THx{y_3A0moOf9xI z@F8KL#ly>aRF*8eAKurL9;D&nnkg$tL|9l@S{XPbnoxH8Eo_V9P4fZnqc?$zp|V_A z!sYWzle~J#ABrwO4GARu;k}y0pn!Z@ocAR3nlnj8T}ub3e7~B0`<9-H_dPEWJzytX zhb{+cx(S9#<$qGW)zx^40f+KEm~hK1pN^A8`K-_q{qCy#&puxU9i4`=c{FSsq(p@& z^LsOt4Cn=~x2TW=F`X%AcK}Q4A7xH|*+n=wT z6(nl6w=7ovD6ITmF8TReMtzotUWisEh5p5mT-(jq*W3sj^{J_{f;Lt97d1n2(yiOv z=;D@O{jKQ>2Br$NuhXT#W5I4;kpsiCn`*?1VlvOPxlNDW7UcWHtXwoi^Zn_1!8PSQ z#=fUbFEcEoE}>BhEYbFj$x#SXEfB|JU@cWMw{Gx!AaX6Dr{aee#)3zqnM)bUG}N`D zZA$lXNeK!z>pz&A6=1aJ6?K;k)!Iy}O_yA{wCTLk#RD#0=W78M>1hO|bBrmv8R}Yw zD~D=_+uYCXJasH0Y76C+J&th4I6<@-em6S}!cVQ^wf)CUswpMX`?XhA{awD$aaJWU z*)nQt3617LdFhGTrb*=cN2hh)Z)3O#Wj}Hywz%AvFC5c&^Z_^5z6ZA>C<&|wu9XO( zQMa+OzIbeB=j7M7O&see8B6&2n*qiwKw9*J;WA&Me}Dguu*B`yR~-<`>sq4r21Q0q ze#&4gUu{~e;Xisewv;0JJ%Y(<8Ge-uxbzsr``Zp?u z;z|u=zc!#LE)hxj=C0MKjPyi2c!|3_a3p8l1j@jq23+2UEKKb=(b2wDE18%Wii({b zTGV46A0*NcToG`W36qsko0-ZVW@fG>4COE}iV4T-yy3_{wiPS!v|EF zL5NQ@+?hQ!E4DnHRPJ`8LP+S`_e8>?o;gB$ZLr?BU6ZX8B=R&w zX$062<`D4#;#zgbbjPYFSlp7xs`g&G!2e>%17>!zK1EkIC3}N9EpF{XR|A5}&$Ixm z=AaN?liD*!2cx`@3%mz_0F0Kr!sd2q;k!v)hLZA$ty@|cIh0HvPA4)I zR*T5A${^dLgepxKMXCXdk2#kBO}B*_T=n%O0Lym2u=VzTpl9cn0hEwv=2H`(Vk-_y zC1ORWFpBp>X|>V1T|0r#I|5I$K3mx8Ua$Zq)0HyXT$GUu9@ib#t$4`*Yc>{6Zw;UU zPt_49!&A!(6w(pVu^M`!Q7=_rp6|XPpIQ{J12P*0GTt(1)sc$%ygAntcS%W3Z;QW; zL@oX@w_>bNo%P(O_|Ke4=S7B&>h9tdsl+-{zZVOuPn5*_CFofwBy5lLbI{Xf(MlF? z7bNU`)<`pW4YCurxf{5_C3ShS#%nndQ5c$fzU9B`RL*xf)51tBN|@TpHM4wV3C0P^ zN^-sHF=nClag)4_j z{bM8I?NB@>9Xq$T7AZGODGa zDibZa_4YxB8)Jlwe#mdfa3gdN`^A}(kvWp}h)EgK^$ z>_Z?I8&@l{S+OJ&TQeFB=cwCrO!%-~t*lGhJ!bWF;u74KTu2p)`~yz1{R375$22v| zDl6n!CeMY)U*YCoe|c^{IzId6=!cjhi*Dh`*8^|`Kh)#F_t*f210(hirspQs{KhEh z=^12NP*5*MTaL+oU&2ZOgnA#{+y0WEhp$HbAreJ;ZMv1pKr4g3wZC$S5gyP zx-UQgCFA#0E>Lf{z0V`A@==cO-UC2ufIeVfU4i3Od1bojqxNz6vRmrSY6gNvE+{~$ z!lW-}XhEW_?l^h8R+6XuS7u((MfZy1^if_BGRZkWp8MgUxck++^XWI_N~W?cj~C#o z{e+A=B$9J#>+uOrK9|c}9e%#B^tpHeO^3(3NXOl1!7x8jUO&6{8W~M$g_ezre%-HS z-TmVI|Ev=)G~RthkzqjA?>CY1iOra9%60KOt?_Yuha;~n-r#@xTX&)P0NAb5kH0SF z%3kb!4TFtQTO-vXLj0ePAO*Xk6Vz>lUCX*al*#X=)kq- zwbUi&Dj_ngi3c@`_LpN0oXPQ$WBcPBe)^KaBbu(J!`TN?Do$VI)y=uQcQ>xAF9bdH zu1H+1j-A_X!+6}y4BPn@e8)ezPop;%n`H2ReBY3CfJ;oyIW>wD=v@rMRP+gcaMM(d0k`8x=YM?ekiJ6}CJJU^SQ6BxOMlc#&?Io(hK&n5k21!R0Q!B|4?bUq_y8d4 zZFYAdu!d0Ho|K`=`qv&RO=+p)RR57~9v}+$(Uox6-Pd=s=R2OlQzfVcnu0rkro{uA zrlzD)Qra9!Vb2-3#%o|uX@H{&&T>{Mc@&#z)ooOkp>vEqVFd zqi2{_OXb=@o-7dPEwG8)FT)t}*^q^W_bXM9JvDXN$Wk30wfV(z*Xe24y?S+(K#X`g z*)O}DtT8RMb09lu)m4$#O%ITf{Co|z2CazB;Tx4`J8GyeR3uma1%B5Bm=zUugbOF=10cHWVGZz z-0UEe5+5C(_j2f0UM;EsA6=hCZyp=wzdTsUgz)WNUrg)pH=qBB@nfhenT>5fYqDK_ zw7P4@f%$5rb4C4%*24E4{!qb?5TuopHuiR`h?LjMk0;5c`>)(r&APZ|=>e%I8q5`r zIkZGDlwK^{A-8Fo8jP;F?G2q$IRtJf0Yl&JuUOu8SCSp7+7~59j7B)2MYkY?YIN4?6n2m%q}`e z^J#14J{@0GF>nYRHUrVcR9x1yOomk*txTEpb0#rBNx7|P$1=f1BUo5{qa7;Af5A5yKv7$x^DQ)4ztwWr<NjXN%fJVKZZpU55`6gW*7K;4p&AfMD6LN4StcOshJ#0!;gxw_CH*uz(LFvrPFm)tz|P9<58$NUED;W zIhF54`8onjlh#crFNB|LPS|#cePZ?Mx@mcZBpM#zlO0qSJl9)GZHV!RNpt$S%Sq}- zt}wHHcXXUI1IP{8ul<ib!@VFU z*#-a0at{K0o8g}!Jmq4xz?TI8gTVkpbdkH+V7Rn0ld+#M3{sJSh=|gt)4;*w`Kxm& zE0%O}{POTL#kw#+Kf?h$ZugGhVE;U_&4-JJOFheg_qt{u$_dmJFoo4x{8mH6RZUFs z$VkdVV=!QdTS+?H?r%+;ZSa0GWY)Y6{n%qX%kP?OG&Pky-yJiP;X8Fj2eTpo!&EF} z;vyJr&&dP4hao!@A8)Ca?^lbd6|;WAFxXl-$^7Tf066aUwp?+}a#1v7n$A&0^ftP% z2Z%B3kOaU==G+gNGncw4^J8UW>w?SxSFobst5nGO@wnq;D1aD$To<=CD?B~kH^MzI z5^FO3PAxe5j)hYZvEU6A@KU++>F-%8+~K?q$b6`KJn3lXTJ_9Hyi|BtSfsrN&0$&XS6%g7<$ zAwj@*L$1hYErn}OL)~`|8*OL5sm2L_ZBu!eRiA`?u84m1C0wB2#|A6CN0*j@4_}Ui zGwmb{Lj7^|qlka3@UYOX(eZL=bG|)|S<&N4np@DhmR_L-hu>o{obd?B&Mv|}VvjU@ zc?FZO%Sz%kwkh%5y->w-h7{#s*_Phw;&vg$?D;SxJ+I?oAZ7h z^lf@z=M;+^`+0+CXlA<*$@o~E-iOf&=-egr#Wj)p^~NNo%jI#|InJE(H7=v73QZD* z-bpZv6&v_9W5@G?>9><{SRBsj0=^h{v!x`rF{h}fU6}q&U6qZzmS?|KRxmMHNonO@ z1c5uSfg;U2=MyxBN_F-H3zB!yj|W?`VtJpj@JZ1!ijb06@zy(MB?;~2qb*35T}hOk z*E}vZh6*T8t_9@M@Q|Od9DfYyDQoLQ=iMpfwtEz(8|%vQU;4XaMb3=8m-+xYaG$@w zOd1e!|5hVk`JKXk4{cX~i;ahC<7bMV-n+D6ucIr&8?-KLxb(pf{K6|?vf76|Q@@H| z%PB+!FD#*RC0xKpSBaOHSO2vI{uM>=B1^lF7m6gOE9tF+_ICk9_MAtLhS4Stwj-@{ z0mMlY(Y1{nadCU9D-#mBn4Eyj}q+mXZpwZrx z`nTKpxsj$qjJ`CxAL#b>7HelCNU}&VZ1y5Q`F2Lb*X8!D$JQp>0yz_1XOgzI7BNBp zoPR|Q9P9DQxYU=mGcPT2g0L-i_OH(ob`OsG!+(mlI&VJTuX=Np%+GgneC}2r6>Y8_ z$=(3o7;o{cduigvK}43t{*2wg0PD|<)!x3Sw*lGm=zz#owJkSAFqY_Z3eTX$T#m4- zl1fjzo6H{RuIthGE6PsDGn)`J_h^fHcenL~QGQ;CaDxN;%vcr%Ya9QyuTWtya&~t9 zXKd8H1LPR9?S%x~XJ|c|{&x>P?3@lSqxiU*n|+kjSAt)YE8eefT@jt8r8CmZ)jxpz zo1D2e2+0qx@p(0qr(HD1rGL6&GKqbuf>Q}6MBm0AiHZD)TIFvg9R(LCNR;x&Z1AQ(6KD7)me;{P)?nuh|(8I<9x_=*lcK8EA2cX?ho_ ziL^f^8dbKbm~@}UhiS}Bd$3V#2W0BS(yzfO4Vv%n?)SxX7oEmpwwu(Gq9r1I^jYnF zGt-@|F2>~cUSE~d|4*!^*85$m9hUh7Tu!Ttbn0^5ukd*qz;2>%-X^Ej9PIJ}y2ncO zzJCUhm9Yxz*uN?ETPtP!my^Y3!)#RCFIB>y`#n57!_ya9wAcf_pmDMm6Qspy$;YUq zucICr;8&lKfW=9}1d6T7j8!tE(nA=tvOn%ANr%7Rsnd7sq6(HH+@eWH+zL9J7831c zvVC}X`1&K_bT{@$axPz_xPhUb8%*J*0y6M^#5=z{=U9LjF|(s1d)f;+IsYwoL@VYl z&O8!5`p)ldr1N3AYm6Vy^3|Noh(S79Mc6CRZ&>o^79V;;HljQH0#k=_4m|2g5Xsvb z5n0>sP2XV-{}lFIhriUN*%?US5O^qy{*r-@*p!AwYEPP+nHo6042cnI;bemTVb$yE zS|ZW{JM)@8{fUz~ytX4RtD2mASq-eKKY79SQ++$aLKSsg)#T(zSopnz$0xBJ`R5co zy4LP(-Qnx;@REujh#X|JK>iQcd{28fO-v9kXWY|;5P7Cxw6ps6t?3Qe($pyWI zbIiEA_HExIe{6amd)e9gnb-A_>Xq?)`G;#SG-|6xPd5|Tc<=fwNO=3@uBkU2jE;7V z)QoG8XJ3Axl14@EWhGz|saCMO5kR(XnDc)Wpep9you5*>H`5*7 zbnKIzHDrD|di;vaoTk^ed57)b@#OGYdd_QHPa?rAPXWD+7Mq|-uRCk`X7T8Z7U$VC zQ(Mqt%WK5giqzPtU@JKc)Xw@{CEoxj<$(VDFeqFP;kuWqtlIm?jk-73*hLGptq|EI zSQ1{|XpVu`#oUtMCo%Bjekbiu&` zJ)X_8=#`n!=9f#!_u$y#Q}S|?#COB9(FkB&F{g$GH5T;;eTka1Pa6w8! zktKqdy~OrEd$_B1@JD$`i)adrBF?nC<}|a(%jE*TWjqB-^ayGAST|4`HEtDW7coT? zrA;|QkTgpWkQ@bnC*~WSrZ$yd673cJQtD?4zn+$C(Ha(E))&TfO&SkgE)FSEgKy9X zNiO;3wOhia)Y788aB+2I+F#@|F}c)zz0BuMjWfM9lJ@GQCOetGH?v8R`1?FnF(&Ny z2RZM5A9@L#PrW+HxOpA?wPoqa$Bx-V^nt=P0obVLg~>OpVGCNP7{gqEx7YiKCp`NU zPTSqU6(O>tWJj((5Ziw9Tz3V)!$0%kiNS=RuQEMa98_?&+q5+c$9&$2T>c*|4-7P% zww?qV6Te|`dSQ$UR+E@exa#jS-^J8qTJEe(?pEvcS$o`53)K3?&`= zAf_zA1ox9ukV(?2L!J=7D|bXSBmA@U!Y+MoE9nx8nb!1jc}g~#0a(p z`^RcyTWo}=l+Zz<1aOI?aw1>B$a&{;F=9o(W=;jAK8VWRbzPi?>ZZSp)jo}19ob=z zDf`~E{)wjUL~V@mx#?5! zQC)NRyEvMIo%a>$HSMMdEbvU)`~+ETE$9`@_K8qZXhtzpS?G)@U3S3ZTOa&~pX%0F zPWM`vC|8nBW}uh=pT63PYZv+vpyvNpY>?xIU{1Im$5Q_NK)%S>nUqwx_+0+$O*1|X znlLO;2igi5xDd7VUvboYTz5#PQvHhZUrg)?B7?s+$q?GgKkFQ!|HigIRsMKQ;B|Q1;$xK6!`W}sMCW=M$$c-;0sv&>es&#Qu!qF{5j;`li zi>38R$g$~ zCPz!wWU6wJvD|tMK6w|JkK5HbhY1s6@1fQgsol@|lH+p%mF{RIxrt5n?)vdW@+9#^ zak<@gnUS$!{BAZp8g>zKcHePb<3AwY{gfTXSdXC==o~(3WN5-&<7P3DNny0rb*sj- z6j5g|wrtlPS0Wiq?;%W!rTKvLo+c@`@Eb32X@2dDOIMjKM_y%kN^tki>1#LV_x{ej zI|n;!l_u1^Z@Iy_jT30(n4W#ET4@nI=k zG0g_SZ^5}WnSxYcwhn{>@x>MP8OZJ3owBNOzf?pCQ(4V2dd+0+J44`Q)9{ezStO#; z?7?3l3(Yr!Qu1G1c3XPI@@iWuzy{sCKF>jUFE_J6tVhQbA>RdOYLW)T1Et@$bCYBK zVHY`Kut0oYnW&-D$C@NNq^)j}o}PYE7262$g*I0t>av3yyQhBlNr^I)7zKdkFfQum zHA_B3DG5{2^nPs_yS?@rK}U7n)!Cx`Hn*g~oWPOD_)1}S1f#^-+!T`%0=%+{RXn}m ztH+%1b9K8=%f? zS|FLuH25!!r^@D~*}LJ}HDwsJ35p&ch3;+z0HCesh^aM3Kcz|XK6*HBwZ*6q-7(ajn`k9rw)zK}eUxA6qgPrigU*ksk zPEPfUMY=YP5GOXEi%D~Y6sXU%WLJ^T`3MZ>w0~EhrJ!)x4c$7~A>0&_>HR$M83^Jo zV5|r|5*t>J2H}!P?3rO6ZP$dFfDzAn^d+_ON+V75XMv1O;usg*e9C=xCP{|4(Q%-j zX-(1RO=<5)s-3Ib1P_VQq~FDP-rn9ZJvrD|1R%RzUFL?G-m}M*-qIr65h7h48^3Xa zH~K;%hXxgCpY=aZ7OPY7^^E7-9dv7o zOq9%DeFlOF;k4NgEzN8S9C9E*rO-o&dC+u0^z2})j7({WVexn^!90)AcRAg@8jYw^KR2{iwIKCg@}W zQ~ge5XpS>X&4s>DJdE#rX?(lAWXgDbhFqfFHWl3`PMD0QXTGS#3oFl;AQW{MU?$^%r{f!X!}DO?SBH$ z*YJw+W`~{+@%!F5RNCghR)0%_RvnG1PSy@edaKBF4}Sd+7i4Pco7C@(s5!rQ*1N^^ z{Lg9q$0(B+JgI>m32FAt(7nTb33GiafwvCatO|Gy=;ihjZ5DGK)8+lplHzY}# zSLHD-EbpNeo|69TuFQOu+8KEl2>{-ffJaU$bgFM_vne~sA;}rieAcfb>75sIwh{zX zG&23x*u&aQ(S*GFR>&lnhh&p!_6|x@c#zAd)u!ejd;#{qS&!{5rOcgsdL}`oHW#|7?kq;eCP`Ug= z7yOl9Y`eiW8SmxK8!b;oOc~<&jv&8ju~R(5=+Fx5%{8T)=u{SN&i z;y7kT3;-CE;nHjsDf>PTyI!q!LBC}S6*&t7iY2P{XUZyQO*tI3E;Tj^FLz9V(%Eixz+tiQxvEU`f>@@)nB`OwYB~x4} zS$M~E8n5AphSu1^kuk}wf%9w$1#VNetCohBq9^8O%KMy&(sv!EL$VAMp7HPb4*PlU zc;^PW=ZjcO=5KG(p+3z%U;XwecT55594hTsGJ80$Sk`=*9;Oi8w3(j);f(MF(v`aU}enbD|@hYCm5qQ~`;i?ix0*D~O$ zdAYNM>^bQz0u0D(Mh<0^yW>sJWN0=ivGXD#o7zaHEjZWx{Iq9t8pjl1^|bpbo8kf$ zt9%s%tGDGM=YWf<7vv{a97`XZpLLzBT=UhQA9y4CH+6oV;?(TpbGpBs@df45yjN^t zf&a8C#!>qY$UWH~G0x6DCn*H|-p}zF3^7-qi~klv!?~_?M=q2W^yGVsPHjS==0enZ z{wnyIu-e0)W8=oO8(xb&5z~{b=kq3gxmoH_CRr=6HYZ)({$B%FXuV^@SIGLA()maI z_JxK!zECVO`M5C;lRC-_VpUxkG4i-UXRg^LVpVM=c7WHJ>NQb4fccad%}+RYR~>(G z-mwxm1B?%2z;D=@FUg6v6Z%4|&SjMqKv zxoc4%#q>d>n3csGPpk3Y#Ia^A<)VDY*4m+$F~FMu{uAe>1IMnwQqGl|2;4|aR`7rbxkl&q3VFb&4LRu{ zYK@iEeYVCBHqLrj`8}m<+E}GS>(#XXyAQ^^kC*i4z6&bgag- zynUvjel-BtUA!bC5u4_(^?D|O8xKR$7BBOMzujMV;o+E!z=M#-H&;EY9Q!uPcBp!0 zL7(b4fqDFs?L@(MNxB18!#k(d&b=gk+zFzgTXjXSsw^{PfsgMLeAO5@zF}8S;sX#QhjBY?Lv+hPSz_twly=Hi_(wr6r`q%;h${U3(Hu5UsU65H_;G&h2( zI(lcr6j#2^1}z%U(QnfZ4zUKi1Z!_oNk^fqrJH;4^SND8KHeV@c=>Mti*^Qq8f9zq z$2Z=0w?t4?9NPEv@j8$AC-Q6;rVAzScW6XNmd_8`4;$VwjM~|H6K$0CHGFxZ82c3_Qj1oVuFI7gY~iey~ypP#o2b@$ou-VRzdx8fC);_<#O|dMGF+z2$A;ahR~sS!Xa& z$0l9^@U?NFo{chKLxW$auR=%=XBke`#)94@CJe(wb~4o#Nd!s15%3LIq7*o70qTz{ zi?zrO9P~%JZ*gAMU;)z{10#$*D?Ik%9`D)nph1zAU4!9G=~Jb=(q0>9OHqUH3GUHe zYYDNi$}$$|Ix=Q7F^UY*tqdHo3;1^P+?u4x#awPSO}I+y6J4G&iMRWPIuFkVYl~;z zkeO&y5!6!ezU&FUoiE>(dQM^5V0{O7^0Afu zO|KlTJ!!`EZkiY!Q`u*Q4J3dAsiCwaqa)_(1}Ry%L3)DQt+nQxV~lsszCRzm zE}VJD{rAQSNAI5BXVg&b5VZfbNL1$B{Mmq**&a8!*woa76REiP2D@k|NdJ=snZTV# ziH5AJEmJ3t9n@Rd@#M~V&NTZcFM&1UPEiHLG1=PZO&S71L;3qTU2kIiLa)CeP5!^< zU0%5ZpjKd^nS#^tcnd@YHT!Cmj5@|ByP%B8?y#lFydPr`Dpk46<(F}pUfZdF&7d&19@YA(|_`` zKTgKRXJ|uY74v#{df2nj5vNfx=2lgqLQJj9L=Lu61`WW78Y%0KZB`6zH#lCdcM0hK z-P+BoGqW@go?gIQhZIl5PA=FqAZ64wFd4uEVSt*PHa$2(|14zNzD!qcNUc5c0H-7~*?*+N$v(3w zG5=UlUyDsO!3NDimIqR9+ zyNt5Iur^(BJ`^_=mf`ZP>DBMG&GjhM0>$v!B1)}_ih-_QGg}pk!ly?O%gNYUr6qdG z;c1xo5ysOeh549IPu0w1P`aqnGUis6eaE4wJ5HYw_;wxYU7WWZWZyC>tFYcE1DbF; zlRK`tnYmKg;>Wu#je7X94Y$B}D>g;lPf(CNt!=imqmB|QzGO(cCxRRvqP%OBoJt(l zg56<|P~G(<@@~gegIvxZ$1AMwZijf)R)&uM?Ywf&PW(DN2QQ!4(6=pdQ})}k>^f2g zEsnnHm1pI6iN-jS+jrzdX|Mz5GVm&1B5x{*a*iqc^{twj`-Yd8mz)=e7bR!#m$tSu?9x+SlE6!^B3S}3bx8yPjY{!el0C##D{}6i-3#W zfwf(sY;clDeW0YDmwI**NpPbX(bwyktzI`rZFvC|oZ>~cFNLuBPVr-!ruwLMWDwMo z*AA^1%w2W%7kZ5CAJ>ugyQ>uMl2kPtU2kt3Zj_4^Nf^oC0V|`=FHXrQ718n;C~g&0 zv;~X2HCF(PpgQ1L8;artKYD6p><=Kq*pDfKmZrdif2VA|`hoLc^ro?GDa)rE~~B*TdLn+Y}uxci0~ z34TR#EH#~iKbf8LkQgPp1l zk@5-}Z-Ny=Iy-%oRA*~%vIM9grROL1PBy+ZINJX_@LMRiHu9r4IA@X`5f7qt?_i1=b5`%^72D* z_@Z~`_+nLe!{kYY{zv(z&&CWN$ViuY7B^;qdraDDjdN2%!9qz;Q=5dzj^qbf$m@lAoJ3|*`B>5yH}TImpdhv=EB;Mr|OX`;^aO8wnVdvG{+hg z_VzuIkvIi;4Ol~!C=58(X9wL)_xJOmwerCB*J_O=QIL1Nylm8Pv(vdTZHf3JZYuMP zL@GNYV4$9iCJ3JFaoT>8>$5dA+7Hg0eQbz6Y2Lb^rNY#<)!mSN^levB9##MGXw!48 zgI~7d9KyBm_?a4QHGe%SHfDlxo;zK$%MxwF9nMwW34W#IXEuR5 zs}Fvf2i+}4Wol%Jo~~2`=`PA{f#OzPzgWq4#V0!ctavxp)z)S%FWU#F4@;6dkbYdc zx=;7no)^<233s4MO63*L4occRj}1-uRxQ97qfB8E2a0>abT&9xPR=J?4<4!aEjvQ! zL_}^5zh%bY5%U4^IoQ)sssUg{RQ04*1k&z2Hg31W4hCv!8sZKX*fU|R4i$vpF|4k~ z9&a=?hR>krXasa1{LLl7!v55cr1E{xb#bgXUJor@gpvI+t^Ar?Gxpq?&tBQan2$rIVG zR?A?C98E$PP_alDIKi6?eIjMo$528{8#m;+a#zd5fOF;K4)8)Ao?sGDaK|dG+`t5O zDw&4ie~o0Kr|&?2L%=)4BhgZpdbMa|koz6ip$}Q-`|7S@`_mT3yToc~+|dtYe2o?Y zXS#ey!0rId0^s%R7FPs7Yk>QODRyLJV|0nyPm->2GJ#T=%!&b&kd=;P);%A%amsp& zH#%!iZ&7l_^&3FCR*U=i29+@@7;PiGrjd&jQx*i|F7H!Jg3)~ApMwB;NA(|#etf`= z&{FgDd}JG?jjeD0HZhYmx2{aNWi{&hyKdRS$)auf5cy0}Dmqk#aRBH1TYA+G?@{SKw^M=bOTrydB zk=^oL=z%0G2x4U-lqbwVqCN??J1xmK9d7WdSNoKxGCE?hSv24A`sva zA)uzPJ-F-_`RyuQ9qWHh07@;6+bE48oQ^E6uMtEEgS`L&P6~?iYssthwFCV~iNn{k-aO z#KJjev-5)hNov0oIq2Y7EVd%CS9!~fVXrvyB1Cs$wNS|}YtTKO{ecq-;%J$InojUd z3?q!YCy4+VJkqyfz4=7RS&lUIecThUDQuF^8IfR);J*-}$;Ba2yf&OY4& z{}ib=wn>O!dt&shL+&Hlw!~Z#+(fA{L{88v6@V+5j5IxS%Nl@*=$>7V(aS=qSzk{D%BtONA*Y+a)f0el z@$45!APwB0a&k;YcBL(bsPd|X)-B9ww=C;l%>O2xrxNqz85x-($0o;5#;FOysL#LO zCMqIPlGLxn9-3B;d{TUtX^T4&vJ&~-d5mp58eWvABBrfN6F@Q(r5Fb`e4d7z1%_Jh zX(Yqnnp$0P9$7c;AH_;B?peLZLGQOX&r?{MW9%*ol_%-`hIa|ie5AnKw5pgUO@`6C zCJV{b0qX;srM)qVm_~I5a%uj^($7 z%FZR$tm?@H$zeh8H!LJ$8%VDV0k=5JRI@Qz!S_`Ai(*sa_B?4Kb<=#=NR)vLCV>HP z!WNCy**~CPdd&-JL)F(>^F!bQxI{6)`q65>~`Vq$tj?=do%Ss^#X zj)uOhcl6&{NUSTNxCGTLvIJ|bM7DM;N(|nDsSD*pJChgt4)X|56t z8WAS4f27{5Wo*B4R1jW*{@-h%Pv-1k7)f4tCM@~4%Edh&t`}eT&gJV*07~_t(x9!< z)IZM$=p0C0G(M)|%al}>1pk;u{=&r17sUe;^dMBB+%qx~eno&lx~p<`y>o1Ha0$TE z!Hrjs>rZhnP&1!1X)Zq34zMZPd-mdM#{B5bx2pb}61KF1Qwa#y@U(CR(hDcmyykpZ zTLl+bw@Tz)B z72rlzc8+Fls8_f7ZmEn2BwWIrBJ2>1z=JUgMB;F<0+wMh@y8gFyKgTx|4Qylic9$8 zvuXi!zf-^o@!#_U2}(|znx8CIjM(m_8u7!+) zelvu?GLC=W{M=G_SZps3cjE&SPz`)wJPESaoULq3cq~WA$~ryzXLcGiF#-R}0{#2k z^7AVB^iQLypH?Xvu8C~1aHzos{f@X+qJ!dvar!=r^aC1a4gl0S5pcnN1u`$v2(%c= zTIaM|t>1XKPnrH^biMfdMg<&-$A(d@ua5uyTONWuNTX(E7K3a|9V2F*M+T69Ml(a8 z06e8pK*4uhR-5k_EKn4jHs0(KfrmGCsx+H&byP!d-dMmhqm^(w{e}Wu1|$H4#U_$0 z3(m#DvVhx5+HCS#eTr}%5Z zDF)-wr+I!hbqSu-j%S}$s_a-^LpijxRUF7r06>pMj0Y2~cy__PvNJX?dN<0eyJ=yL zRlozbvJMp64fxHG9`=#wD1B_WS_6>}5R891N0=BT#9bJVGGLQ8r(f^!0PV!mPn^cI zy$Spt0K7zmKfeJ`6C?zvKLNv6E1(j_dEuE=l@vtsTbAf{%x-wgj`f`TY{rwEvj zP1D)Fz=Dt7`s!GJB1aXJbfO!9pM2u)gqh0!DYRO^S|Ed zBxSRTa%62O&nSug-Q{0=&Uw9MqQHG^6>T`ccmWA=fH!io@QE9j<0b3M#k?ss^$$Jz zlzyNnLA#iqUgBq*{67YVG$=0qd8=X)*Oy5yM${;m(}h4F`im>^CmRJC83yYT%a6hp ziK4|SAnnJv&rt5vBwdlBBZ2)u{Z%>7#lSBCt--6-x$=x?SbMs#&Qe zn=IH@DbH<3Pr8!Rb=m3NPl&StCZXHWAz)AzB}pp;f{DMg%O!6u=d`z$_UWqcbht&s z;C>9E`6W%^wGjTY(YAPY)v$0CTRE8YORC=035Yc@jg_5KF|dc1R0{P}zc@N<_bB)4 zWCPL{o)i;_VgOBq5~fmUd{^H0gvSFr=bS$xz!EDN54Mtw)Cr$rH3^YEE6LCKDuL9_ zMcmw(P+-{|zL@bHGK_Hg*ul{m{;{mag%MI#PUHh9Qn z;o`Oo0v6I2w}*9#Oaz`+J;23bcEKI(GYtONc(U;J#g2KRL%A+9G*UwG;@l+2kL?Z4 zs3_SJ!ph#{_~Q)VH3ejhVevG)_u^Z<9P^eYc^_(l4OWiJ7As0&q|nV_9Lh@2DS~$B z|H2uNvxHr{@sCZ0{d+W`5?FE$W7nxNXU;3?fq@uipcnP^75x2SaFesjI{>Eya8GTsFK#!woAb;>z1lruP=MO z@!8GSlV?J!eT>IO-I-TkC2;d)m2F#C$@5I9{;%StR?n%qwLo!4 zq*;z^0466lj4$NwmD7p><}@xm__apC47ko^19ka1aAv^p4crHi&HGhVx8p;^X(}OR zCt$uxR(t7)$)5kdnPpE`AF2YO*u;iZV`cf$cT&*Y^?q^&hiRvR!L#~S4BIkSO-0+c zV;n0{X?7DJC!{o#W54Z@MoTXyQXVg^^S-{uG=2d$zHCfbDU6gv!@fV<CW}nuQUXgQ^##D0l)qW*{b>qF1w>q5O5ZU9-kZyo<%vD*;tBJ zSH)jZb^$`D%lGQ*371#8GkLbOjy-p2=VCPAW}c35V(r&=&(98fayIUv+G4Yf>9vh2 zs))I=vuxA4oeRQ0F{WZ;Mb!ULkW3@+AJK=j`+YUI*FstQwCxZo$Yv32)ql5UmvbTz z)mv*(-?*YvTMGU-$q|pK^8wugU$z{#xZ$D51UMm+$-t+W)C=~Kp4EUZ+lOBmNDYPM ztwb4(#C}5EL%Ke9%%-oyD|h3^Ig2vOc$I)+KP+a<%`bukuYG<@_P3R5MJaZdry(2b z6`};6&R0h|ffdJh*&1_Ur-KG=Z*XlJZQK}Mdf>v$#kU`&&~+>MCRogAG%uAt^tms|Av8#r3>cFG9GEQ_-VJU%jU zC8)hR%E|(#;X+MaW*u|L@iB2~57<5==;(p+=?3n033>L(dPc>o_Hj6@CkI^kdrqt0 z_8)xS2{$XCuZ-tl$9Kdi0O~;4JRxSA$xra4F{~Nmcl(0>M(%NAheRD%UG2_YmVD`L zoO5gkxc{StmT{s;YPjpu%!#I<0lW<~G?q@vgp80_E+^=N2n0M4bc={h>j}%lppc{Q zfsCf4)V6nJA;k`Fc0n-i;13A6ryA*I)x;onq_R*z5#e(x&2er4IFZW^^fNbZE<~?+ zbDvndk7ptUE(T0I0p?N0#fr?|6_%n;XOGAfU3k(F>*?F+}bROvQ#GSn{8;Q6k(l3&IXx|5J^(8LC_e;R^ zN>>3So<(5Q{gv!ZZoHNqzhixdF&UJ_Z$Jec1So7^0j3W0qwqKELZnH#CGD`f;4*jg zjbQkyFAJ{5X3RuyAQn^KYh)WPE`8$gcqZ)+Trhpr+_h<2_5PgJU>Q%KZKyM$R*fDkmq$<#mJc z3i{QL(=iUs{h|fByIufHr+pRz$@I9VK&& z$XR?u4cFP?>2L||Rbav_$aHW@pCki@lD^v7GL@D#C(vtZXmB-c$UVjmRGeK^aG8P- z2;zI?e`Z2_+ArMso(}x?)Z&xj1KSY!z*tfOxxBpMM3^HotHs>wun;*&001)`W3WbR zYu?=dx7u%}s-hhV>xkq;Td4i4#^%cNil>5hBQLI{clB4u>>c&6HboRn*6Z|1)r}#b z*Fc4voZ9z_KJU+Dm2-{eWP8J#e=XQ@e*W!kA@a^ZW7yOYLgu-0O*MUkvi&hDMtFCSe{b>QCKm#XY zZinn(psY9Z2aDV8fN$O~ZBId46AnVWt55xs4kytQSp`hS^$!! zatz_ ziCFry9iODeEBNNj#sS!u5@#yfwrT&l&W0795+~p@|1+c-aR{d5*8vKfjH$A(I9mk=s+^v^ws&d$oc~gH!NIffgQ{~k^^)mA@p3>sk*8V z6~K+#2m4`K64Cuj-gw|8t~?2t9tO{E6w*7T}+2 zjD2B2pWgF}qb(N~%toOTo|rDF$ScOwrKBo)Jgw62%rhFuH}?VDV0swT$&x3GwMEUO5Vs_e`kt zU$TBmMf})Tds$1K4Wj0&@qh%p$X+vS1^%ds?7-eP#HUG1Vz%XT{_NL)6vfkEyi#O+ zX!eoKc2Tg^ff3-iYyulK`jB^f1!eYkRw$)M8T8hI>+W$$?;OE@>8ATjl!zXa@S zx$K`JXSl%4D^eII{QIX4W5oX~iL@!_6ODaTP^xgAkGP6vyu9Bvk|I6l7+g!)J9#N> z_0tSZ2^~fc`Q=$NFmmK5fQ@w$xi|$ee?w3fu5QYtqtD>XFKEsRK!P}cto0^x4ZiAA zKthu-Y0*;b;W26M!U2R9VEe1=`|=ZMGGpTbR~0kqr}iOeeJy&9gK{<}9+{PTaV25S z<$K|B#afpcrRkp#wwzE;oC&{G<*~(eFiJ>Qm=t9_RGWG!1py$xaA%wD?neQD>eQV6 zno~^GSjN2^K~i1Bq*NWt{&|lN(S6b^DHeL?kh9B$D-$*{Y%nBGtS$g|RV3SK?)^F* zIeeEd1x7p&EDy)rCidL&MV~G<2;uNn`b8j#)Z+(f8F+C^@C5qc?MUPkaHByOn;6>e zg^nk{i~&_K?h2C@4J>m#^uEfa66RLewOmF zHFvTv=y6PqLIc6VrEks&?sX=@f9JG;0PX4x7*jSyts+qXc|7xI%2d2e1Y_evk3k2qoN6_B}s&V>2cLnH;1_1Cf|lR`j$;D98}tt%*y z!@bc8!Y63ci2L`>TWWyF)iw;0Oai z0gQK92L^`!*Iw-yl>6g1^u7p_EYKrD$lHyH|M_FLFOv(|X_!mNitF{>A73CR^oIf| z0HD4_Xbf%yt4Q-hLVxCNgko+S{R+C_$ zAVox5pdInY50vX|u3rr8%O1VxCcvmB@Z|g%%hij`UrRe42`U9nB&0&5ged}Go*Hl0 zcDAN5Nr^e-2MxU;)$0H&ybF=Q`27Rei>vju zWRwzFBOcDK!SQo1R)$khahpf~(DPdlAoXt0m*&MvQgs{@`S-A{lCiI{Hr2nZqOjr@ zrvI5Gm|(UMgP;u7O;sa1(C70f3$~Q8gCYkPun_u7M_Q;ZTLXx z(y|65-lRrat5HJHa^sAm7Lnql#3=$%*d<#U--cVk!R;Fm)u%wD#^t_#CM0WKsGR>+ z;=;6kFTUN0JO>H9m>){CSUNuU#uGzOP>Y32woTyDD!2D4nQZ?tOuQ_upOx^2k^L4U z2k(RT``=&MSC+DaX@a0B-q#sIsd@dC!Z>j}jHzjyg{@kyB*KfdrO|QnRf7^vM>0WkA^`F*vr_bYa zV!WO5Q3ratA;J7|$l4gO(G&}vU04v~!I3`Y&+ims(dm55tKappm>`6z^qCUAa!TpS zj^8j$%2HAWkJU^<jy1!FeiK!4Fd>-L zE)-HGtjm`POv|EX({fz7^ER=f=;yj}TdXE~JGs^sg<&w*<4X9rarA6E;JAMD45%wP zvDfi4gku-@*(eV1l=XFu>Q$IySS6S2WdkdhF z1>Ttd$6_ojy4oH2*m&PI5j5!;2rQGUO)y}H`-?OsP%M$UR>Gft&T(9Q& z#Qi!WeMNxeE);4sXom~Cgkwcb8Ce?%c@hFcQ;HlKZ7t9Hr^lo-W4&=+Rj)76;~ba< z*&1EAuodYT2CvbL7x%U4A9juNdEnDIP&Z|hcg!^O)*wb@*f|G zw6!($(TJCUtIAN0$5Z`9>9GIldAX*0~izvCkE#ofgP@KUcT}{ zTri6tets)?d>|hm0|(NQn8G^#=AKMTTf3#&Xx%t*iw==%zqk?Br9u~b3j2t{O#!s z*t4$TArQ!-P`m93zj8ZiB*cbRd)c{;ot|Asknp4lV9%E4;x^DMM|oMN{kn7kp&Ryz zOh!&N?Z(pPymxC>hOgSSOg#htZ5EdkZJ!lCIymz>I={>oV*hGXW>iP&O}^;!lD?>z z*s*v*9+KeWl|+iO?Fue>#BNFT`|VCHZuVf^_DcjS>ko@*xCp4hNa913c05hEU3a6T zQPE%Ef7(XD3(J`K>8)9>U|y7U5sA;Vmp9*IHQY4`dim`Wb&e;l85lVc5PPS^^!-rB zCCbWD(V)lZ(LM{(Z0bikQu>)?zcBIP>HZ=m;JV9upH1@hlinc^C%p%s6sIB|qWiRm z=8=--l2KV%|MX{6!1QdT!+n~bW+CHfQ03{4({>Z=#fOUFB#fr1X{hJ+?)>GH{^jW~ z#bob%ISmFUEl_XGu<0BPW&ol)NAMYA8Nzn8k)h|^$uGf=0UPb!Fuu}ldbImTANm@( z2#GY~AWgnFAh#zW_P8%j&)Ck-PuC!LrKbn$cDUnyonf=Qj8EN7TG(!gjm^;J^jkvS z{P#!Kmf?}tXRl@Gjx06IhR0WWbU;^-*IMIcYvF7#8TYio5^WmGKpq)g8%y<g3XuTcX>b7 zje2mPTUU!XC@m_R&CMw+{EGSaSd40a=R}!FaKdb!DPk;2_XpbuNVjTxQHi_WJ5Z%< zI$kQYY}Kr|Ztkfvd2^;_L+S{6VX%)|PrbS8)u0zK_C{h%Tu6s9@LS5wERh#9o0aOR z5hJ7HbNmNM@OfO^^(AszQ|4PW|tDfNLQ>I&=jaz{#T zR%8L%radGbxFS6eFRX zMZMp1E^;0}U30r{xVO6Qrd zuu4k_#X5VwXT|E>F2R3y4VK8$_Nx?v*l6a>y zzoq4qMlw}YP)w}Q0|YHCh%w~ok(Yf{8-Z*sg#q=Qh3v8>*47`LNWm7%1#c_9oIhVC zP&C1Xn8(#K*o?4J3GxT-xrm0w#7IT~!F7$siK zvf{Win^>^f@bCS}1H8>zV}X+^>dV(U`x_A&F>s2~W-|ACa*>Mys!jtsjp!q0BhhLTR!-K4u*F%SQ2HTW>N0Izih-Tm>}+SK?V3$;^r1t8 z^EGIyPxg>7(Bsqoy4R7owY2qaNVkZY=N}UX8iXB`Hh+srzZWK0U~4IW7WtSh$y6?6 zE{iE;nU3v!0As={awhw^vH5fb?l!l&R*rd1QR0i>`oj}4a40>dhELL-oRm@GJw6(~ zwoiSWsNlfTa3rMug|kKfjdo|TYM+`$@eng+X1<74lPfs_4M7hchS-?2gcOB#D|s0Y zi-~X7$f)bM`_&XPGc%(;;$mV>-aHAK1`l1c;!$@Oxt5FgWMpKm1Sl?wPklSL-QxoY zUB3GzBo{^kKcaCrTK+*0t#^$Z+dlHLU``M86B^KkG>aCh|`+`#l#}{ zjEe@3CNmFbp)wYc8=a1`^owRbny!>$n{crk!6`4d{ICP7yS0l2Ph8 z{@4bEg>`CtntOZkl}?`t7^!w?nXS;2eHGF#`iBln1|w``GGUy4l=oyBiW>*i6UxfM z#VUOZbJwLhYyuObq59~$A9yA_JstZ=r=5kv zpWT&$!NFnB!}FuUXvx7M7zzCH-MVO#FpcYAJloPRVF5(Dz^fWY8{6N&@P1XC zTN=KDYUfYpGyV3LG>(^tWKklTX<|RGaX`(&AzHHf7GzvTaHhm!Uopkkt;ma z^MvflL{60pG3l}j`fi6y5*H(fGT(6$$;+C5)@z$kee!FEzDo9CpZX@SNXjE`MA+w-5r}2 zzd_Ba%ZbFip%~iEa6J{*awB>1*!{@!2#amKqtTkiYf))>tt`u2? zl^~AfiGhw@QGrl^zBHhG_oT(hm^imNhm#ZBF*|6mgj6^eU{2aN7^FMb_n|V~ znAlJKK_Zm#-oZc2Mxesmn@dA0>MIr&H7D-H@#A@DRoU?$ULF69EP?0+3Jfb06Gt$)S2^jh9md=OA)^g2?F_C3X2A&rUcs z2WJ+ic+%&g^SRl#+bg}Otmjt^z4zI1d|_7$UCo6f(uHDL7BnMk=%?GJzisfhw~cD^ z0}3W8x2rAHS}iSCc3+in6Dubco4B!`Mae<=&?9|_2pkuD4^%^pOQBp67IZxm{gNxo{&uR)v0&Q<-v*V+I zgGH`Yt;}47HgdkHp}$!k>dCibQnm;aoVga|1hzRV!cOL!WP~z@i0dmI51QHrsUB7 zxb3Bb2V7uNME&j0qjYrOS7?G&Wge@Xg3<$_RKIdjf9Xkxz%&jV=GwXJ2A{$<{-0g% z|HrPUO4jU;=V4}>8Vf3yAksSCf!^dDV+=g%g?~omOvKCJPA~LUnTx2D;=Ax{|kb68X~62!Bt(K@k(va}>Yl(P{&QxaYtgSkxLCTI7uUUKOv^0ZD6$FytFiqv{Q;1$GHC?5cy?cQ{1NCPP{i zs_x~-<5K^AGp4M5ZY*^)Vedi$!TggmlPV+FeiL$?2*NM>MYx%ZN9*QVw?IXtp!1!~ z!qN(=r{)S4T#p)=>$kLt{qT{`GBWre)3BG>vgceW0wY2{d7Lvc2UP%=ROhiLD}XR{ zh*Z#72>A0r3HrWDvkh=qR&g>f4?X^DOER){2eZ>PS#dr7;Tz+rher}_9^^-kp+AJI z6$l`|1+_lF+L4hHn=&Qlmz09in89SGR7)1RkDR*n3>58ztcY|MFP9%r!WPIWSP(%c ztFve$bW+mdG{(T9;dFD;r$VN4d5|9r?0EC{HaHWAFhl6yz}3tr6W66H4k>GjfY6C- ze|@gy&*MZ!OA3yT4!82T1r?+9nJEfE+D*1>bf%df^O>7us^tvG2m2AbWH8au844Rm z{4mq*?^xU5mETsBSea?FqM3A-=Swd=eCIIex2$@(jk-i2N2EQLS5poxkHoVEUFITw znWoF~8!`>Skf9;_%2xa#DQWw>8gye==w&!Y!AFy{9ta3|Zk}HC)(6v{jsB4JZ;?p~ zDpB?=Epl)F^xou>oFJlxX7ufK5m11<5xHt^U6(O-tz3x}u7(`$c3RX1s%G`8VoBO6 zOAx4di}q!M>oY;oVxh?+Gs?2u{b|FQ9iJy&S0%FOhA}ECx?p7LjploVcN29p>W}WU zs#&=DMpgt%6m!FLRiYX`cmli`feh0cR?#!U#0R7Mc&%2*5iQ|Lv+U&TO}M%yIC<@r zcCPQ}rI}%=Ss#RnF~lh0rGK2(Xr$V1)^?Ktn6_Kc!XtfNhkLTV)E-7uXlT!|$zB zU6Vw@#{)C*C&}1aBRtPvf42xnW3}-xnX7IxHY|)@dX%XzJjzRpy6ls?HXHsjPx6L& z_SUq$7IhU1L#SChiR(9pW&Nur$Cd+Pd|^#hCfMJyIcO(kApp$b5D%^>Eig8L1!IR2 zppmGJpuHHlM+%#RC8eOj$RO)WJxejmIwHXDo$eLMEH4pq*L*Ma78Y4|u%6Jgtke!z zz#dMZJ~9rp1%b6SDOTjxha>}Od9=pRpmN$0Vgu?|5RinV3_gI$;u1I}exSj8%YTzLSA2YI<~Iu^j{3^h1iaLaZbE^q;H!IM zv-2}(h_5yj5QDL-W)px~ z*>)~!5epAHI0}>dg%n_bJWgma{xybm!RU; z_}e84C05_fPECGregYe@kbp=>>V&HrZ-f^!xgGVLQOf2R4j%Og-O#}>z$YkSoOxQf zdNmB*qB2ozeHbZJ62l^gfB9g$E_~DCRcGC_-i7qO+--x5OhfA56tiMoq&BId4w$tx#gRiOLeMk0~i;}$DU9!z8!(+7F*!!CKkuDxHf>^$iV^6 zm4x6O2Rq4EO)Nmm8F`B&$V73JzA`@V`WGd)z!k!M&zUPlH9$TZr*Y^w4Hyd{jg`${ z%`e683-kHS4Onx8V7FU!uU%tMlm~ZoEIrJ33OqgC*&EHz<+av1PM@%H%+GTvEBL$C z)?GeLWG!O6GrH8Ml`b2I?-i-PzD1gUUtFxPz8>@E#>Hr1VaLp#CBLJ?UZ_eUKZlq% zAv_Fx*~nXGb=>hW;F!A?QvWa)Q8uItkr={eASNaXi;m9=Lq*l7myt7X&~w+99}Aie zOVRa4%_%Y|Xz4&glEsh4#mgY1pIV=ZeRc9grGkb!I6;qXfx2#790@$1$1fY=;tFqS zBg^8nwTwBQt)wM5HF#R%zbZzvwG2$bnOBpO8qBGi9sC~5O?58yHFI;RY(}D>E-%+r zpmLNlc-NkYSZ9s%)8g{H$~Ua{r^hVE`((bemUhL=G5YQu*YBI}U5nJ((Y%kd`MHwg zLr=D)qM~Hs8?WD@kQY=#x$m({PBQhifxWj)4L&pu9dR{apie7fWPQh>pBx*@B`NEt zr>1;XiqTtI6NPMO!k}a4;E54@d9e0!-=$xsZzX^7pt&L0cts8hupv&a>4dkh@IELP1?C@Tiu@>liLpM?r6_&6g{P{G4z|uj^vH z_4bTVav2*bUb5d48$JGwqoYR77`>3PC=%^^O`NP54GVJdc1GM0@Wv6ZL+i$#3RxjC zTja^qA&Dc-wnJEy;#RF$L6*A?erHEkg4iQ;mI+K?SEDcv7rrp?gMS}pA0A` z>f0Ua4$UM62krC9vE9LjEVPxqrlyW@-%)!ezDpK8QnW(K;zo0+ehoCFpcpnc6H?cF zuYm)TGgj>2)X!Lf{Tcsl@0^91R`ARtN^I;-4l3~=FE{t7NeUh(zQV8hkZ+9~^{B|3 zf+$2{-@3Y%oOkcDcx!Zv`+`GYGfT_GOtiDqO&uI{iPIk+;uJI^!2usrrE`l|*df{) zr^d2#0Q>`Ax*cQrQkf$R;wtu7QWp3rnPlc?&$dn_f@A^DU~CO+?e08%{(|=gtLWb- zAt4aBF)Y5!Pb;;zvr;(?w(>s#(CV?uXl3Vi4Bz_5!(qLvRNTrq-;pq ztju~JUxF$Qs&y&Lj5q}~e~_$Au90J+(u-7nQkQo>4$V}P>%@X?qEocUn1$LT>xVV# zrjreeoC)@rT>R{6qt&bZeE|3h{59A@Ns*CyW{%VE-#_2=9?&Y%@%U_PGS^C%PS0_| zQ^E1BCe)6cko{deZPIg$!d8y1kQ}8OI9xTTQ%K&y6o048nP1Y14i@8XSBVniZ=JR5 zEZkMExLAG2?79^7oQ;|7>BoxEQR-gp*b`2M*yxx7=3=Gl9FPhPMt<)5z8o+~*xj9W zrM>w^Z(?Est4z^wcV)ZrsdwJ2jwJbah|1IDf^7j;lhuGVXs|XH^Jc1(mN#4eUF}BP zW}JgKd9j{@lJQKC;YzVxV|o^xB0m234t*L5X}?~Fc2QthHF|eg{)2=i`ffo8=<014 zBjH%H$2;D=Gqg4i1~DMuG_-T9TNfpVRhp1*K_42zSr)cubSJ*X-phd&X`S|s&%^4% zSWF8iH+Dur!y4utn0^)AOS~kh}#=BJ^xIrV zGx%aUTD$ggKm0$;y@gv=LAO4P3W6ZrNQ2TTjetl= zcXu~PgGdM>-O}CN-2&1r-QBHp{^mh_-*e9Q4}AOb0)%JJo>+0Od#%|6LL^EcG;|`+ z=1V#h&y(*bTtW^D}YyfyQ)FrVH3H{fyPpCg-Fg`hwR8k5yxJ zji>+-_37v;$BU~_Q0e^~-jft42ItFkmZ8u<>18Ih)hxs_>8diD!Asya>5WFG?53xLX4jumh&>-oo8Eb{maeD=xNb#e1ZUw1~Yl`3D^}c zK;OSNs9JMyaJI*v{w;U?^y=f=B9y0BEetSo02FtE|iW`Ei?JRS(F z8z5Qui85PhhIo3n_56$V`8e(20Faj%S+I(BFbt6@>fG>zvUmpXC7cG4RjED$O;sF} zRTF)0?L{Y|oB287dK`>VZf385GsjQ&x92dQnY#M=!Zo!ao0J0`8hQ*qMD~QGj_9a= zU^L_6mYw?P1u^J_CD>zziOFn+X+6ayT>u8$+$^}FX0K3+16r0eeRtsd5vA7k)>OJY zd68q-$UAJY0vHE|#N_&-3hb=kUPe$l@(PsAHkhp2oUPMtx7&wn9ZpfpcydP<~~6hvIzk2^^+*Q4lW zdJ63w+OoSD$whof-VDRyRdKVJt(RlBNlP2+|1`lE`~9;b^lgTt?|4TZ$;WHh5uL3c zPTH45ESeG`R=^S+_lN?RNzcWe^xnV+${HEk*;Pm1fKo1kR5F8h^miXLKO5BWJfC0X zjV&bc^~s%6OOfY^TbL1M3Q%jhS6rf@=qbrebmxxe8TExo^|8|-cnn+nQ1BE<&R6PaX&09X9OFGbb zonB2bzBzV6CVOw5+?nj>=gCLN)ogOsd-+=x*0}&>EracaPvy6n4YpR6vL0DAe&T_n zEe_^DYM5*1JdNWY^9=(b6;#w1K%KXCh`!V`&;VxAxnORIxJt8{0Iv!S{PV9zu?QSp zUeN3b9Q5U3X0sAIzYbk|13XpV=sVPrDyPCqjMMpfqg~DYy;5NP)V;h?PmkVuCcL=8 z2*A{A00{zv@n;ocqA$_ruyCKLm#N5zM5GY)&dkV+PCv_%cv=;S{&;Ra&CyZoj04Tw z{7bF^oNQhgK8~MdYiq8VbxIOfUiMQVy0*hgL>?ZKt?kyu!)b5ED6{FS2h6!uz{d`vd2AnVIh==D>nz%6#w!HblmMPH(I+jDQ5B=Load!2x4q-;(h(XZ;YLz zF+U~BiWee@zxsCjAM1etUC`&Lj%y*(2zVj&xkBrrI!xZc&+W1en*4lhT4^b%R`EQP ze)b$&2jS8Zist(&ZrR0|M}XR&TOX9EfRq=08g$lsB*KRy-kZa2v_ z{hF5b1o@2(#f`U{Tr_4+!2 zv=*(jI%(||@Jb*iwa~^)3}sGKko_s}>$9X}$H8j`Kdvs`QmeWUAwc;R77|xf2_1H4 z(blM1o`K>`!>nGx<0wk?%FlT56HmWP6QG>=`F8MWgg;t@h5SCf=W=H(IJFu z%42#KZNI+Lq-QZw8WAM0NC_;H3s^W4BU$)26e5JSb)XV7#egH63Gmy_?`{=MZky7O zPlTLPkpVYPTvpxb=E|mT@d=HYdsZ>{K*Pl9o1wEOGKjRo)zvJqjzvIDTztRii`@RJ z*mqRd8ia(mgH2nz+afNyRjG{-An5PhaSHpz1O+7>6nEI4>7{z0XyH|<*8NI1t7M6F z8k7!_jxCbUpO;ZoGgl*gLC}?Q_nRQ`;^a9CKQG+#@wfZCk0evs(<4tx(NyD@y9*~g z?ypk@%GYaMDUXVXcmw=6=$`0-Jgljn9-50GYiSj#{u84V?hP+_rPY2Pz0v!kqQX)p zIgS8PQY^A=WxDr=v!i@pv~N!tK~~0VMiQy0<=nzoGL<2M^xec>{K7oDCkP1*Fcfu6 zrfkjhN$Zb6X$eV7-m{jwU*dCU_(21oKl>f2U1G$O($HAI!@boX%G&1W3KqWEzHv#U zrSYDb#x*lG{z4fAr*M`{GY} zV!9FxGj`55b89m7Two@HzZ?;RUY1Z2KZOG658{Se_`JG~TuU}uu9p~q^#&tbm~XYc-AlIH*pFU`TeZF+dGpddPQT@r7u3+Ef(IvrtT<;5bISa4i`t zwKIkKHi2b5rGw;el9acLPB6P_Tpx#jGF`u$8R$S2Q#Q_>Uptbm;|J*vXH67u#7cH!v~)uM3hU;*L{(Lg|X*(t_GW0OMDloIc}93LYKpwzd*>w|i~7vwJM7 zMM&D%SV~3?o#5@YM61~>y;hb<{z*&W%UzlHBfC{$vV4Gq#yPLu=EfHYsYOIgG&Iv> zDZ|z_eV?GB(&T$Iw`~|D78G~JN0J)^J)@ri!)lhYeacuIVHB@K26`bTwh&`316 z80UNA9~tLkRAKR7G7MlkpbKb_cinKR1@7B$0SH2Si7%_5$PgQEDlSpmVS9fR{7_$E zGe%{gUJ&WZmxuqt3)7sr=^0{gr8zFu!A;nXU6zvc@m#kdt-M2!T zub*NWJW3{Wvi}aseBOtQ(5q6Q0;PQVpX-|}u()FXL`YL;;NMPrYb!=teJ~9dmvI|#C@Np5j>LGwvgE;qNA_n(skQZ}6QrnPR<;-U^I;J<{vy^*hF}5W zgrY!Z<_E~k0AfjIe9Fis*?LLNci`*`TrEdWbYYBNagoPd1GZ~>yA6m^yTrtx`Dvks zhey4?CKDQrO{~}p!2lqn{Ef#5@V4%@OHf)jC-OlOvBrYXo(Idi_Q=Q?nMH^YmQGda ztG=P3GbJyfYg>CvBmHS`$cly{W;39Lb?sh55d5MgFTr*q@M#TIYUG#K0;~1qrlo)J z(#xvwr4jWSGEpM0Ye$OJzP)#WZgk#c`XIy>wlZY}Nstd0_Ssaf5`aTVG}yRZF=l{U zd}I+^g^z)rgZSXLJubFzqzpFn4f=om?$_YnDDMVDenw$4?)}w?09GG8zJbE*T=SNz z9u(Y}A|#ihu2(ty)L9_IQM-~B^*i9_RzXdP4k#B?6^i0WQV#+wuh;%+r0}Q@ML{lF zv)MUjaAy$waTlcIA?4<*#0Y!*^5d27@F*Yjw@FgElIKU9xu*YW0pf%(IZ9cPhIl{h zMi8)qbpVR+H7Ffkfwellx~FtY|s9v$u;h-f?UQ3vG9s!s!cPwvg{RqJAEMx(U2I9z=9O$3WM)KD2W;v5;k z0sr8kNk2EL;71pdo<*Yb&L2w(hA%;uFg?3MUdGD6_9v~YM654tHT2V! z=rEMp9;{4)nzB~*h)9x(styqsm+rzMR)pF(>p2ra7gz3lZf@C`8F(M>Cwgvf1I0vk zs=88&O6l1dPonnsakR*{gsHJsK|6bJ&-fFC0Zi{LO#0(g-NOAk;E+%F0g6d~cN@KD z9vAm$M~z!%az?k8aJ5JQA`FYoP9;kX_i=OL{7iB$n83ahY)b*aoV~%I=cwfdz*sC? zTPtv7=j+QS2Gn?J$1@^bVW|k6pXqF}^^rqER!c;r;*5}0&BDSVr4pyDpll5*oWvb& z+__afYw7j#A~;|Hp9QOdfBqbn#EzCh@3dU#qzu+pK~b7&{x9)qeR?2wNWZ(zRFYKB zaKgLcYpjC3lZp_fHZhhzx#N}x6hvEyFAg(;|7YZvVJ?Wl9MrxP{lKp_<)Sfbff972 z;g{3}I7vh&WSCDkJhIBuCTcNY|Lj*IT|q~KPaJ}zBl*Scr{j_r?F@@Q>d;kVaavB+ zRrJV&b#jS5J!x8cv4mI^3U3G#<$OIJs;pogHbJEAaq!4uu>$pS`eiO{KEI1iRYyO) zUHtCs@WKpCRt|Ub-P{wJJ6v)$y)PoZqzoC|mBpjO!A@GYIDD6vi>+#n_GhdBtxwPW z7W3kTn_WEtlGm}lN18ZD$L6Y~Y9Tlpnp`U##`!8o;XQbvrhpw@RRe(8&WTpiv_Y8gzBc78CM9!&Q`hzw*Dogx0ia@(Vp<* zf$TJYQ`>f$-_{jCtX~&K(LYK{|1f2#WhH%#TU7-~Gypo+XnnK1D|38o3D~}co}Sj0 zMK|`x^Ybv9&2tNcp)X&Obaug>YH9)|LPS;^p%?Kf%Ncm@Mxf0{yt?4vi_7Cx=Usma z=-Im#GLaA2`DW9FjKERvO_-IvX2DoCWA%y>2w+6s9`?s zD0~f%Ekdb*j|xf_0129#Yuy?*r-wh(&Axkt+0US?60*8|c`+ZF{La}kG&NC>wsT<( z2PCpS>`piXE0$K9{|FP24&0_yNmiGY0nVtthJy%R>0QTSi_b~hFH8r*L$QE&5-L#K zq5gi&k4eMf!jG4|Qe!)3uqvP;x5#hvcX{1d5RF3&;mX^$Rx4{)TX|$$>I8~Ee4ZP? zMPhah3JosFKk!6BeEg0DE)+?~Rh>fZ#q-=Ei?`weFYwIbN9Kl&&R$DMNvsSfh#YT? z!YX6*la`^bz5sNYn*^o%$(S^ZJWtX+^9$9@U!~j87m8I0plFxe>6Y%-n;6!WBlJnKG>+eLdh$QR z%L*JL+ZQIDie8~qI-I6A+L1$#7SMWj<+csMRLy~<6-lBk$_47kecW9#EGSb!dv`|C=X=9?Rk5?n3c?mH3 z(cJW08IQSoRzl8~;~e2}*2gY}9}J#Hc8Z^e1G;CdO5r9zly~%-kUdEA+H1| z;-4qs;1GTmE)oRF()PrSk%`m47?5pF;GDz?Sdl>kNd5=zti-~E$u(Pbua0U;IT&z8 zdw!vB{Zg`KPTh_Y^JnVlC!Yv>Y}T*or5F5tv|B_bj_ zI_+P5=YA3z(gp$uX{+hS(#FP6-@lB&wSR|FyT1AWsx^ihZ>v+ATaRr{f`Z`9riJPRQ083yT;>(_3q0JH)YQBZPp z??m{C0GUi(-BOk@;pZB$N1(b13Nn*t2kv_d7{T5QHyDxfF@FM)pgnMsZk=8#YU1=jO$D-r94Fd>FV}89LzXG8C;3_&V2VleQ((o!g zaaJ=?VN_ot6fj0QG9zGiu!69(ed~x)Sfo?O+&IwVZv9-Brs{J-FQyf>viv1V65rsb z@Q`Dea~|{K-e&muyYGY?TtnGGjlY-OE>>3MO{|+RWVLP6@Vk(6Rt`kYN^*HYeUZU| z%S(RjAOe5XZn`32P=^IvJl$1egq8|DT*Ne*zROM~sGEh3^NHFbz)d6S5$Oq)1e34+rrR_nRTf8yLY8Dw9kQ)1!w7f7wxrB{9}r|FAu+> z+qZ&zi=ev@T}X1DkfTkOs;MJ-}touAF*F zM57CniJ9XK?5J?4_uzwqYk(Xe`M5$hlr%gB;LI+c3z&c9XJQYpgKNq~;R8uOS=mLe zQB@y~WK|s|Hzjisb}jdPH(=CsbWEW2(IdmSIhU%7o`Fi-1bRWVG8~ZY3zCyS(m_w3_MniCPP!zHCotG z(P6uI$xcVajbwpZ$am_3XFIr_FwVr+_Z-S%s`L?2<6WK(9$A@S5Cbo-4=^PSADn`M zrF6{1oI`Exqgy-1O@;W{H2|Ln(x%QAd9Fu5maIq5s8%r+uG>j0>R%#JOFJ#}`T5a% z14=GIv(gX#xP3x};9xo`sIpNmaNB)I3+1Vd6(llRUDE-(B66NhjI&fPpGr&V9cJTz zlVszHr-41aV6GT03^{@#3Vd{(I2!M_0jNrlA`E%!=4&q@E1q90v>!=06m&L6UZ|YLj2&r-icj!D{|Qpoi&zzRX`v`%tDbIZyQh z!fOjS-DmC9C4p!;=KkXgei3=pwF2SXPV}mQ{aow)@0**pFxQZ+2|B&6TDi*Je-S~p z=&E++sk~bN$5}0%jM^(g>MlWfx=S{<~=;O5d1j} zb+jJ1qQ;Y*2IrMxO%QFz(Thof4Q(zgn4_a@G0CE+X-2;rrl-Y9891L(iOTvRor;8o z#*erQ3Qj%?fB&WX;z-C_50H)p#iN6*NPz#YWUYdbZT(BZi!Gre;WnUhYj|YBCm`J{ zktdo2&OUB*besYdxqf-KzWs`lo0G}EM*9{H@LF&quv+me=}oZOggnMrDv^~uSb9C{ zhA(FwuGv1FE!ZevOvX;IPSz|ZO(HE{Vz*T7T>1HJp}}(JQO#S+3BsLOh6sT)9q>T% zaj)xQy!6&WkdA)a*QiW>F0ui|ll%GRH}hKAPPfi#qF8w@BjcnfmbT|a+A zKTK$ux;0b5xjG1g%_TTCD_@bm2G}(hp8$1r)tio=A5vz(l~-FD9N$aHeX!9`#meBYth2;L~_ICpqB1H~i>2guv~17sMX z-53G<3d==iDk?EE5t?oM{Juw47sbDjmRB0urQo<^(FG2&--}v;r- zHv4nLbSE8^uw`th|#!Wa`e$kM+8fElFjTAPzAz+0<> zg#9{4E9cd-zP~;{?DA;5E7O4<1;GXmm+SJuM^nO`h0i1vEGnS+#-k|$qb|40x~`?P z58$pqNZ>S?wnff^)O1+~D(%BDNmpodq%;EFleg_7@3r3F>@j$qDrPx2ubvx1&Z6qtDLN?J-2E-Cv2XlZ7&`Z_R`Uo zu5k040QGlpP^k~Di(UO5lx#DavaC#c+>T-3=qJVtgDny|y7aZ2wx9y*=10@}cx+1! z~j5$bAW za3G-F$>iilCq3@9`)<9!M?f(88IOzH|JLDAGEAq+@Miy1o z)@b2m?7@ZN)*HCMa;rnOc6{QQ3)55!M&G^!HSa=}6-RL(G5H*n^$7Z2=`U`mknae9 z68MUi#A4j19m5fTMf|jR_XH5yB&;>iU9W$^j8f5&gMD208!B^E`ecw=zMTNSEw0rU zOH~%Q%1)em5hq(FyJ&^d3vp24@5yV6XZ!a0ckCV5Q|!hhw*x4&oN-95pc3EMDxv&% z-2ZeA7{w1u3!1|nU)u)x1Cj@|_~Uvb@c3ndRP=)B8ra)fM+mcEqPn>veZBV3R7lIh zi5VrlCAn8nQA>Pyh0V(nyVWYwhv1+rEG&<@M`1^Fx6mX8#>N+ddn43LGQ5-(kbxWw z-sDAku6yf&t&w{YeqRbApTlrRegIzY8*6sYun(y2=_W9gsqF?4F|uYV@|i^dKS1A& ziiuud{E9=~GcYuknq!~so_6OK2w1J|eb4AjCJd60c&lrTtPBe~B~Cu<>Ovx$0VpMX zCStI|4_sTeZ``k?_Ga;6p-N|+Lel<7Cj>wB4R!JdCi3GKy=#g=GXLP;cWfKVLq0}U_0|04BPiv zY;ebl0=tLaGJFhLbAUb&7;3pFGVJpcBz<#vE5h`KvcEe0goOyRBp9Blz^=@KxwRgu zwg7Xu>uXw00kS3m52F+wgq|+`@b%p`JUGA$0!l!M%JO!RTD4Z$54>mU`Y3p)U#29( zO-y44xJJiEyq7=gPW9}ieu!yTvp{6eqPg*MTiT*kKOtOSqg5X|Q?#??c_(4a{Dc_B>ix)|HTuY}F$D+!TyR4p{EN!4DB) zE}D>n57Knjs0a*)>FZtsg6IKS0sAJfN3_Tfm=b_&zQA4(bDBBY-+mv46YiqWp+RjQ zX+_d2V+F2pFO!6{KIElEu&Qj`k;(7vLs}d8`Zme!`ju7gz9b1t96bEalQ9+psg3iH z@rm6nT5ph~1eFc)^XU5MD6@Xc#1-1dO+B3xMja`rj4!^S$Kcnk`~q7h*4c!=YB}Zv z3R+lxEC$ce>fYZcsi|q17$AP=FsWJ$4u(KMw!H(^4KSScocIRHC98}4M#vf+f2s!_ zL<@!jpvJ$xXWBLd_vpzlAf!IdZq()@7c9@#lc1Uz=1!)B6`*6u5m5eK98 zesEP;{TOGy7Y95rdyC*GVnOYd9Qp3a$%*2n`o`tE-411&W~e33ce_8w-x&LuxV*VH z;aO=iyj?zwoX99iFYz&H($Pi$jbAg4D3_F$9;vZ^HW}Ck=W0n8f0vA;%FfK*2EW?+ z+WOna#KmdeVY15VF;M^4jWsAE!Jd=U=~1hf?<%=K<9;S|U?MgC^i9(^pzivh0W!#m zIbR}oXGPLSF3rOq?W+c{Jx4Ywd6{Msw`NwFd?v^i)F+6v3QTzF)h4Nv87c`i2VA*_ zaMeOD++x8p&8ScEGu@y`?xJ#=`6-1U|KXPZtr&ZW0|5qjhrs{7*eMFk=b`?{!+*b~ zS9OAYmH+2ba{}V>zwZWbBtUvt$^S?I^U9dg+|6E1fU?biCX))cwm!IkXwpe+< z_`k$v>(y&6Hh=VOMI0Qwj)zr5f}nWCGTpC>_W$#_R(QddO&9IH)072PJ}sf#ge^2k zBzWw=t}Lsu2mATm5xF`M5*fN2-ru_oNnpXLdX|zyw_(A3p?l|rX~K_@*-?dg`nKw9 za;CmgZE(cBYG!9d&a$dX#PwsPqIzalm01xbDJcdtNw?8+Ze2w2$K)gkqOaoW+&#$S z7!63SX zYzFi>oMMW`bGv(ly5Bo5@dXIs0CUMw3aT zE%SWiC{1}4Dmiw4e#&yXKknTI?n1$!40r?u^(d{dQSL=Gk}jf8no+=_cm(C? zDJ1(G3hGGwqz-f#Tqa4O?E91DtPQ84o!Hb2G*Pqb-z-9QG!FHaI%dOf_ZK=E>=R`L-S6L+9(Wn|!5rt32GZrEB(N-S1TEsA>K-n43YxU@go+ zcR7$u;p{8C-d;%jye^oWst!ihmI8Wh8^x$TP1*GDCwuXZ)5LD8J501v;7RVG>0oV_ z?1-#qN}MM5eqIF?I&RzXxQay>Nv935K8y&?%H{Iq$J70xO5I&v0^W#>{9aoZEZk{< z{MQ&FmVue2^=G2sG1W8aI0*&?3oo;)aW+;YI=Z`SHEflmsHqFzt$r2UX;^$enp&H@ z#sCIpEennSh5D3TTd7gPFq>VKfNV0kaJFNonf-|A>tCrN&b7R{$z4z>6WC=xR4^4S zn=2OUF)C3vP-qy=&1UShYWd(48@BVNqk=m~vONDcrgX?pnPk17ASPSoq?m$ql~vy_ zyYYEsC*!7MJwP8kwbLKu0s8L*La7x4Wdo1TM^r~Po5gljT&Im3>jp2P^qCg(v#8>3 zA3JC?pWX@3GjsCI>yg>n$B@6ak(1O7vQf^@Z&Z2KlyxHOW`FIFw}U&M^cK-vU2r*H5fZLOz{Z>2*+-I( zNg2D-I+u-L%Kj)DLB8tPx6f6A;*|I5dGK(fdFO-h{d>T_g?YQ%*kBZ+WHnXbkiZKP z0d+wI`5#BZZrjdAtAv=UxI4xw<;utD8S~9!6f`kLrw$l{4JlYV7_s;9R*R`2bCiLG zf7P2QIRC*A9-=dz+NqE^vWNe#&a~G3{&5DTKsp2NJ1NRSSI%YFReu<)|@cIS@8j8%tavfh3cgizy=H1<>9~vKeSamLp|15y< z?jZiH<>jVYOn6>II%%DTlxnnQ^!#$w_wIupg?EiJGRm6_*f`_XF>6V|EbJ6@ zxk+-TLr51q22&)gsyVnEbS z;q%cXb_oRoK@MDCr?%`dI>1yR9UsJNUVXULa*J4QaVw5AztUKIpJM)?F-sI7iL}E7 z)^6FsvuBhPo3$E)R!>@W)o63XvsK`)RBVza}s` zruJB2m=G~LDmUqws_^Iom^$h7HEb25`}S#-#Ppop41c1y=}+MJaO@c{LP4d zz(f+KTKy+q-kuB6r7Mk4$>*b|uZ2f9@gC;DzCQh@ZPTv_Bg?tyqQayGMO9h3d8C>0 z@wJ!O`)I2@s%DOJO{thwhBexy2qjJR?>lMC>zqeqX9M-VUrnB^7<|O;`cny?G$-^tU{(3YUD_-ttv7bW~PRW~W!aU4W>vq;12Fd&#Y#MubhzdVWNZ zxc6!X>+fI7@qFx29irf&?Hr%nfJrC*z&f*8&z4&@ZSLq6Yp{l0o|jmqdUJ*pE03O` z?8K(?^Um2geL*%yC&{W~w^0ebRN43)dEcwmYJ+LZaUU9>yZP9N<3faV1H3_E2%+X1 zYq}2Lb(&Ru;rX+Cd5*er`<7&6@^13N#t1{Z6%4j4p!ak)4Zxqp`$F8%u%6_3U32PE zN4fS<)n%tvFkadW3q!%RVE~XoH}aJ!8=9N|NtKd3~rB_9KIW=8_5Y zY5VB=MkG~zhiKS6V#-64vi=%j6Q^5!GKcw~5z8xFB4dL-h3LNSh`f2K&M#vaKNPSV zYYig@YgaPId|G};YvP^H*8_mwo&^hmV zVXjhfG1-bnE6P76o2IRqV=mA8SQXaraVUCc1*fONHjfNPUh_FwO+)sOgW@TJK6!$G z%VzIsYmTpdcIvl(5~8vYJmFsZhbua}dTvKOJ;jDN;`ByH+jE=IVf?XAxmI zc7`=R9)YIcBMw0x4_=H#T)?e3n08u#3~%3#u1~9pr-Zy_mQFk>!lsYeN|h~!HbI;j zNtKOky1>b&Ow^V}usYt-bJl!4V(f}{a<_&^R>~^vjDS<}pTSao@J*-mO|L5JdBP1v z0le&^*Do041m5m&VRsiDxP>jj2b*IA+|OUB@w~TD<}|mBjh}ams7ewFf*m*B?x2P|lU z_3x&OlpU<$am(-^!$^y9x-=dbCRXm{iTxP$TkdT*&?oo@8<6x*$)Wah>W_pX$_#L8 zf|$lz%xb2OA20 z0vAeVP@PGa7Fkb(@n^Yx=9dLNJcWn|i2zGLJ^154pCa~)6`oa^#OlQ9$uA1YyJZ%l z2g-i&Kik2er~Ja?(C`CiwRl@c^VV23+JIKnN;SDH7Rw5gEWiZF&;3JG@VCY9F7>42 zmGATC={jrYYCLXllv z6;ELEy|5q9I{SZY{wrloUX6qN&)E27W_Jy#bP7Md(cjZ0{GboJ_$lsqUwV?EQ3K9sqq$1o-3QMH<1z^we7hL}HcPRc~ zNXPzrK@%kW&tMq*!NeLO8UMYAxBiC=f?s>43PAe*-^&XLGC}{n;JE((*8s$K-em%? zNFjyoYPGo@lYh}T>T3*^7tHVy0&*EmvvnqIUj%u_*;`*{2 zdeUQW>W?oDKHR*!Mw0Nevtl5hX|Pg?z;<5N-l z%JiS`hD3dnt%>jUc|Hk)E*Dhx=h?l)q%O!+a1n|c#Ej`9I8g@L0Iqvfblg|I^V!{g zj6z?0DVa$nZuMPFRNhGkUT!o*FT$~xu%O)?xp84X)@1KO34nT$rztE?a9KesOE zE8=^!!~Q&IDWzK@9t%T=X}arImDQ}Q<*eJg9E3p{ikjRWnQS&c(V#%3q1+FEc@cPW zB}kpF?w3y5&V&3x!azlaXX@dh7hB-;0E-ga(Ff7ER3TsvypGVb~)kJhsvtVWg1p;R_rgp|3RcBC+*8oMSw16v9!{;BBV7SNI`z0P6c<-JCF> zn!t?9sS0HU1kl(QXTF2A{T1a#s|{-h5Ba9Znl{*xPWp~D)%u&<*VB~cIAZR6ba z4SMt{aSxIYbt9r{QwN5xprTOR=p|=(&^JD~H#$>xuHd~$grzq*{3TfoZ%q6(1@d@I zCk3><%&NHoa7*BV&MA(sgI19350CWu=ro|^R=xWLX#<0$R?|8qd7j0_zELi6m4ziO zXXRQDBJqzdmmcmLjsj!O`7Q2HpQ_*+ifwki5IIx+J2NDiOZm`M0G|ypBy=Q~q^y3q z*C6XvSNM}ksK3M16jAQgc$`j|4V1WVl4v*p@w)1;d-|y|RWRX#P7lj%nMM_=~#(EW@bLNZ<5REgA zFsxJu>O@7ZPw6rZ$VnqzxUi?wgXq*HxxcQGwPcsYa3@6UTHeUL{s~)=Ao`?R44(>7_#9~Si1ouD45){kJSZ3@N+5k@5av6_L<_Qyr9Qj`9wk0K}+tZSh zZiboJn$hnW|8Rv0fLmHd_nAp_cxPQSljY3`qosX_wK1GIVso`owHg)8oGQKv_jjdJ z>%2(pjvLZr#}klEw_&xne!JCa(M0XBi7R`U<`&0AWPa0i!+0?|&%i+W(CMS#pUgRq zL|hr6Y)0mn6xWKM7Pc?rUsAceFKp(b6V*=P6q|1osMjcdyYa__sgZ@f#%`esprR=m zi&)p*YDa{%Us7qFoc#LSZ)ATmWby*_7T6A9$AoodY}AKmT!fY22=6XaWKH zGC6s5wo_apAu&cUDLL%fEUQVXO>FmI#h~^{P(b^X0X=-m*?f&niZpx!6VrBvTG|a) zztZXr9RoU_9~P9#_%3R2JT$)4LS3LSg*l3-l7AIWE<9 z*i-nO!q0zazB1=+pT=G&-`&M(^PA6e6{{9CMxnC3 zrOiP7Z&$qj^y}WZW_qkf`ODXrCm`s3Z%9OQWU;TlZVQard*2XjlWtF((|t_TZ*fol z>VS#$=jghNO3Dpqt#J3t9O){nUDPCok`sKQF+MTm{uT|p>{nFH(wRdHXb%H{li;cM zH3I?@@$^)QU$)NHHjrGjQ^ESO0oZ0>W2u_0KddAFTW2yDv5l3A^jIEWsoffnf#Iut zk@Z4bmyl4R5$W@x7L8Fk*gTPQ#x@AP0kHQ~8i^y~7Is!9e-lKW7TS$@wEOxP#y{&{ z2KYap412`mP3rq^36e-qn6XnZI`DaAbB(p;QwLNj6xMBBL$rC>_|F+)3&++tst^7M z@_wh0YQX-qCh%Q7mO*EPyfigT5t+a-IRKeh(Q~C_qJNe88}6^34#(Z_*lnMr$F8~v zU5%%(QLYB!*Ufd>-R$)F?i{#8eq$~y*<*XL{0Fg^IE{oa1M3`9@56m^xu7BaULH8T zCnCS2SaM^oy3XLbHN5_=>P0|{5q**xMx;lvM2m}ChxFA)tpV ztYC6sx)@-fp)yqerqc|V81su%tvBHir8$b*pRF7w*(e>UgWFI!A(Z1IS} zM9$Hr`_T$x>1hi#@N&9b*Yg8BMjg+u&vDZ$D_OF#v#Ci*ysGC{;)d>d^@ z_41`p8TyYzsT_*1=|-0dB*HhjkrdMTrKK`3Ffc_|aUgvb;O{T1p^HdTfH3P?5lsW`@pSdjaUk)33 zxcU+zH%qOd_I^u`vb7IA)=|yu8MeXHfSGwkn}b zwQ3!kNy+-!%@$$FjfY}FLSHUBRz-lvF@f(uti{+EFhOAEX8AG)6HMaN>hme8&R#{f zzrp-`XPVD#r^@FL@wM>IXP6iO-Z;Ebq3Th(6?Pxhw%CBB+G13!B z;qYrs6v!Yu&W2_{`?8F^eWmdpILXm`XDlzC*$|#z+q0*)_osPDQ?@kkr67fL@|Zt5 z#hPQoi(7Z!_B2#7;auy*=AF?TY41=6UEQ=0BEI6)uF!(g($b!m7N^4nvG?zXfucEF z@7L`1(v%q7T=LTRXc1R$jFNNBooBNogu7D)7tzqoL%1Yg|6X<-(so zk;_kRwAoxjd^jww&Jgpi?gk=nR+u1~H>$yC@o#{mVW2v2j5~$Q2Q_bI&2{=IB}$z3DAc#H>$(}48B2%X^2-6pLhVc!cA4`F0> z$P^*!{+Xf~z3FnpkE_A#CzqQkyIUg}!BUOp9bH{CuU=*MAb*3Hv9`8%1iav2`jqh^ zb@q;q4%4w*+4|$o7Y==NHAi?GB0%a+&Rgy^4;z1nP@FWWSXdOkl1?rJmQ4~U$?etY z@5bz@eL8E-h?JB=m-*QikCx5T(zG%RFmfHfn4R zCjC}(nVu5U=qqP2=thCe4KOjIb9Hu9{lCj<7TwiLn$F^xU%z%Z*&6w%EiEoS8qB_s z`waaRB`>d*jg5_Di2np7J^dNH*@DNto7=^*?a3w`HtDW0lUsw&FH=px#O2GmN zAJM-1h23<2cir3DYj)IR{^?UAM8XYwF@o_}d(kJVUX~WnAq@@=o;CVfZCz%n*I0>( zijGv8j@pA77_-p~1FIGyoM;e+7cbl1iQiP(%iR<)$#{ls- zJ@mL&Z*V%as!75(<5PGqC8cC$mT%M_%RfZ~4dxaj;KeZ7U#pH`iw&`AMdNXC;tg0G z3QBb+?KynIo&ESjW#Pb`wzb=hA<8(2h_;Q`0=-^>tu&-=G%^B(P6jFU-7a5siE$8@ov+l_Ss4e37o@ zcB;6)(A2PS{cR*e#JtrD=Bih@IUU@SuUw*)^a}^#7rD9BadC04ey7|QBEDc7yH5W6 z1a>D{-D;#AnNNcIJ5njI3AdL+|Btb^j;ngxy2g*)AfTd1s2~^!A|)*X7Nw%7NGK>F z64K2t z&Eck$Ce&J@rX*5+ypO*Ldl5HEL0vtPnudnga_SK|h}V5Sb;HZnEwT~W8_pE{Ntr+f z;u_ff10jJqpLB0jwJ?o;Z%9e@Pp?0IHLZnxb!8hj@3Py&-KWGZ{K*HhL_Sa_Ql?q` zYPHZfPj>x3orc`> z((9gW%T=NRY1bXgpZ$IxVK}*@gfB|$QHt%TE*-a~Osvy6+S6ywe8VQrR`3)$#FI|bEUmqCW3E6 zLXyth&m6!dskI)@2Ss0+A5R%h&Xe;JT{@9;W2L0pF?M!!T{Wg_TJEaP@xl8|^0k!f z8b-0AqK`P%$b%+BVe2cg?Kac0j~_oi$;MXRFciZzn&T^>tsU3Z-OYGC1swO zH%9$Ian|1Pr#LI`%-KbUlsi{{523ujbl+RW0nf|p@e<|3?LAd8Op$D3fyplVq_d0E ze?nP#C(ZFsn-jLz9*~vIjUIZt6&F5_RW|5-XR-5XVPR4+6Ptf!H1lQ86WrVi(*7KJ zCf|ziS8HZVXyiXKXl-lBGf%ObOApg2b=$9cdLk++D&s-X#x}#^J#@TJ-r(D=c0D`6 z&VEZ%Ge&f2fH{Ber>^R_{Y420UTm4j(m)icLnrFpJNnfTEwP5Y@qz?yt!fL~Gbc}8 zC5q0sJ8DTcqAq1D554dEV9U8O7#lY9`(zvxBqd*HR=}R>7nJqjhxQZ8+4k0Nxb#48$4~6Ui3YlZ;mOY4G>!HM|=r%WX(VqcH zOk(Tat-NAMm$UY+c4{?&t+Q{cxIEDL((eK3*Uf+v5z%+0{?0saGVq$wZlTl4SN|%V zm>mg!vMYSBA@=m~TYkNaF%F@k!_H-o1#&aGkcACK8zKA&ovz; zWqQklrYp#cL<8oY;^L~~Oj*T$`(!$-xH@mYp4IfeHH}^N-T50G>ud9~qXzaZoHcD7 zDEkAng$qu^)~Eau;p0;z3K|j7Z{EBy-Su4YY`@`pdoJn4`~2r!gn?RUTRCcR@^1OKHn9=l}5?AZrq} ztO@n+Z9u?)j!J`H2)$gWaJ=I-N~@iZG7UOZ$BQpjrU?rPu;2Z7AziCRGjZV{0jU4y zE?*vaQ&swDlh)(6In$};RSUuPcAZfr z{ZKajcAJ%hqx#B+dEKR%!9LXf{Kbi4N;0jQ&BLkb>6X>hQzuVyEzghh4}VYMPAOc= z4dgcn9c<6H&Np^-b2|sz%;kRI%sHeJk3&qv5dtWZDeV^|xF7uUx0TmbBn``f2^ZY`U+0PJG`E@Nj%Ptwgsl?nwq9%Sja33BUx zXQw%Epl|kWNqKoNTd2k7M76>K2~~HcsKmr7o3+LMzV)^7br}@5rbQ*c$2S!e$V}@C zmkZA~J(xmH531zItNQVjFGW`rWp=t~8&d$T*77QE%7+i<4)g2tAde)>2l1K=T%T^~ zSo=Oc?pSy)*Cakr*fI^JV=^~1>arJ~LBV2-TK<^w2ymcg@7K4Qb0f{OWyJwp8dWKF zv!@kQRmZaWJ8qMvYLZlQ%HMV@`U;qR_*l$DdyaNp;pR>CP>Ze|+^7l-_+?h>`gx|q znte541_wA*pMFnKGe}EMZ&}TVkBt0GFJxBrw4Kzx|w@8vfm)E_|7}~Jpu-M5NbPjZ@O74Y;nX^|Mu;-%^AA>_ed70fkNi` z`Nk&a=`|4&n%_R$_6U^w{HGT69WfV|KrQkX6g1ZH|E<*peOk9@Huf2uR^!{|8T$Cw z!iB3>T`hsQWpCcR>F7HG>{!F{ftxLJ|Ni~5a_?9I*H)K<$L;3xUhsstOg`^>fMT_@ z(CtOOeMbc^yx^U49%(;zE@ujcsg_~;p~jQbYs=%ou71F*$}Dx((IoB&yRH zP{(b5s*~sUxQ@S zT$@dq%_KT$YJz&1~Sr-RNue2#igT3USj=8g7v zd;ZUS>#Qaov<4V6lHnBxlKK<6X z45kGtz_eTA3380iE};>unfj_vAFPf5BbkF=PW$bQc+8qmBj zpVDCjweDM_l>3{&z>~(}&NYV(NH;)z-xsX(awgzkx3e6TK-Dz-b%9`HP(BDA8%tIe z7k4llYmEmJ)-Cfml=O3n@f)EGblA@8pq7McwB?#Me0JJ3`_CpyZPd37=C;e&DbSna zEG*gxsL&)WcQ>~;Z{J1(o9g`Y_l6CoVS+7g`%ljxbLy_It%ho#ESY!MW-;1Kh=W8_ zb{a0M@_uT5I@D2Eh+DDm@Zkj6V7~aYw3|M+l$8@z^338vz)AL#5ia@>AL0^kmeHC{ z`)I^g>x}tdMwg-7g9}L^O|OMdWTsZaYQD{UIHMpC1f0>bhpNqPc{GSmFK7t}KE6ie z#*G_vpm_M0H-3Jsm1&<0Iz(%hy}y3F#vp8QUC30WEddc=O`EAVR;>Ihed=1@R zV#$EY7UT%rsF_ydn!%;vlsiU7X(*(9v`rnIhH+|zb_70Qm3wz0wjmzJS<@sRA{dPm z2@$hbg(d=7Zqj|4g7ptU(5Co95JDoNxc&KPiMCP0>Gf8QJF*(O(0iCWLSi=9uJ&)L zPd>uTEI}!@^3m_i{l0HvJgB%>U)TW-A{gp5RDMFJCUL&So}0CDaY1-hBrS z!~khF?$X)1hweRq(&DP^4i-XJz^%DuU}TC%Ky^DmI}x9@QN12j+TazVh|;F5yC;IQ z{c$&HLPdtaKR60kj0y{x*5aT_h^=%|&Z0*l zNDJp12S7Q1JM059P?AQu=gHHjrI7=XBQ9Pb74DP-e5L>sy!pQmy6-Ll^R$M(R7I1e zxa?KdoH9p62XkyovmKWDTAvyH(A(`NcQY^Ym#@6&4Jj$7{ssK{St87a)z)*7XNK?i z#?{tdCoUKm^EFx7+p4OesBp(Eoq76e!kUoyH+7M1!XJ>r1^$f@e-Jo&!jWmfowHzq zKF`pI*Jfej@7!u{Z*OA9U8tCm7zP)wM}V>CnT^&@bQTBR&3N4~*hnKU98u~{Yn^YO zgM<2H*m)5`pxCbzEenh6my}G&6BC9>_p_>}t={_jMnNMR4$@727(FV53~7Sc)CFq` zoj;8`Ubyrv#RPiUX$}sK2Pt;|urGNWjOgikl%$mLb(-$h_3Pm{DA`b9f$(v)BkltS zJ~TM>6P?qV)JUJ5Dq_qz5{#7RXgiDrLzaq}*1`#<1pYoNEGAu_crSeh=v4=_4fok1 zc5J5Z%}ky7-#!;p?!g0SeQX_;hI&7>HvjvF=?h=8fl+i}Mquo>_%su(tUs&MEl0E6^ z9E1LP6Fai&1U5Sm7qcn&viUQ?+Us37nRqdzgViFVwOx@NZjNPJmSV<(7^rgdu6Hi2xZyN&cH8zxKkC zTgknO*weGO)`9^q;;t`VUVu`;=kn5h5MdIJ5I(T+kj4u9!8s+Q3m9hCOa{`x=#YHjD+ zVu=q*%C-Zr=e1w6f#T13Bt>_WWC`(0Dc>r?&E5U@x6z+x^?qVhriK5=cyJ1rfo6Lv zx)W9YLGGv8Yjml%)q1si*qvQX64+?d>TmbiT(TbS$GmXj2a9oU7(%dV`XQTf%+$CJ(q~)&(ZiXbO$-) zd|738<}Qzn)0+i_=BJ8zB8)h-x8B|n+ZZh_T=t}&q<8o7 zYQn{zAsg5!Y}!V#JFdLz^Jr0edb%n8kj7P0roXQD)bjnQ8z=O&_wY?&@RfuCKGl{+@JLmg$>PmEQ_MBhufqa*bbjZV7xi0t3racb;UZ}w#L=Wn*EEi z%`m`%CY115rC|1ZX(jK3%sIlDoZZ}Zri0u1`uKF2t^>zE0VCdDJ5RpzMP=jinrTeO zN*{j=D28g&Bw~uf?Eot+LEQ@%N;yemvBjNdJC?p@<(4cj%$1M=Esb@(o4uQPX_0#> zONldB5x@M1BZ%S5)@+Pw#=^TCt+ROwo5Zs8w}6pJLkMfOFK6mGH&C{W$bWV+ArYa$FnJvciRDR z!|g}o5pxgK)zwKG^N3uh(p9h=e9FJ2b-ikvYR(sF1H13~URwg)$9wwwgNeXbbtq1; zU)5DmR;J(QB@TwW_{))UXurVw*w|noyKSYmBkaVzCrdrsRJ!L(DJf9k`u*3$zJPS) zNQ3D9dtda!X1u%E|^51Sr)98t3!#LEB}BpG8jX z|ACfL0x$`Oc9=0sJQQs@0i*ZrR>Nm%bdBxo3Q*s9v3ue99Z4Bao6iv`+bBmFSw_Qt zvXqwBZe@YPIEkLZ*~iCc25icSi#a|#{6fcKwK-|&T}_D4o%QkcRWV>a(e@fA7kmQj1WY0Hq(@Lj)X-NJg&BuT_%RAxp6Xm@^l?8?Ap zv3eru4h#&0TkOVk1A(N$b)P^f2tB~YCikuuch0o;?Vb9r_lJl*45}P7c>+-V^OKHm z|6LR$RlCK$t7D4oKiIlpqun@lNeDKhr_`I=P>5jFz zERpgLA3n?=CZq`^i?W9O>{-==oa7Ak(w(+Y?^Me}ZKkfGiN!szoFs>CH*tCPQB!vb z_yq>WM@#!JO(d>_0YEm$i;aHsJuf1nlGSE*-`~RcX;zEr?6*6^oK zU_H1*g@xApQKo@&e-6(QU@nN?K($t^{|c1xps~VryBa+WkF|wzv7y=s36GFnusbyF znk)dY9Qu%uJk@z`u?!GmNTkE$8yBG>p!L~cEF>tXw2PKw@rM zOGFlXd_{#5l26;pkeWtAnk`SAPI>BYAB>EhYO`nr(eEw*^*ntr5+U*NvqRrb$A#)b zUN)U3^AC%yPm76wZW3{4v9ZlD;L&fT@Oy{Lg=;7ik6~e?j7ot-a6Z_E+3r+7ouV0Zy};(T~^jIHWywzwHRO zeA2NUIM&h=KyolpE40pqYBZgi%!EoOPlyi4{i6bkii$DB5vojWiO)I6>EYk^J6kOa{3o+O?{GLDyJ>&>LoTHtpr&my`zoB^{lEpybyf$38 zmQd-zl-HI#ZaZ#0%c_V3??YMhb)8)$_ZD#9bgS8UdIB85_t1X4tilP9279%}A*M-4 z8MLYvMd?4~ef0B2`M~a%ClYO#(SDw9w@zvL-TVWzBAE|9dIoQ22Y2G9Ctv-f+`4n;Q1a@F9W*oOP$@$&6klATA)<7=;69|Q33|{0D_oxd3AK$x9x}es zdc82)p+7)c<3I01G)0ay@9*7Ri}0gb7EDaMQtxZBsaj7A&)^3cyn&7lw zlm-uJcGmhPKyXR6Fq^dY;DF@0=Z$F2l}Q_O-B6Egy!k5WSb%_W4EBPbPD$!QcGD+- zc#-9ibk**Dv?T|Od=s*>&ttq@MYSA4WTIY6CYRZ*)uJM4&io#o-XmAnCz;mkda-2) z$ogLagV(maBQ_V(M1Kwg*e%n_uWc$%GU}b6=>M8+FNlk~QV2Y4V{u7E!KFBP2lKKu zLrdDQBy&fb4MMiAcH1U-k=Zw(h=&`SL;+2HtG<*Q0J9G=$QHr25o~K9d$2kS)LOAfoe% z|2yTjXXOlZTe8UYHpU6TOr)dHwmkoNj*yWq;YXF#zItnck2pe7kjptq z6BqL-w(jV>@ zw@o~zEehG^cdI1x7Zm42#E5xUR~MmqSu%Pi;o ztLLGyXSRR%k~~-Rk6u<=-|V}ackh0=_T|!REQg1-bdM=cpRteJ9>CAf6sThR$m|uf zxeh_A2xw!IBJw-&V2ZZK)Y{NShPlHvGt&7!gH^T)U3WA^ceIYon<0%z6CJGa?j2RB zT57^@gO;&ymTuOsk*~f95EfJ0OP(P6i3&5X8$SDG*dWVqI{3^eB3M7SVt5X{joa6+ z@103esPyNYx3ae;^ELrSCs%s80xjBhAMThCob$3@DZZ@LU|KrsiW$(j{<$2Vo$w3m zH55u?ji#`4<*!Uts@8Cuw?4bFzHoAH4H!F`G~3&s8ZaDeqIbr4;cz^4#w<3mcmDq?$)x zgmW;zRW|Rd$*xzE_2*fy?a_#AFgeZ&#LBHAjSeq#pxPTb1{E@1Wzt#p(?FmFvQQ;_0)H(v0q-YR=wpVr8 zy3Oja+MO#`T>9sb1Dd~P`C|N&a2)n$dcX0tPW~q5RTVv*ztH6_Xql$Js}BTx7<&J> z57TZ)0+#_2XInW=ovKI0JrmndF@0^15v@TF$E&F92vN7g9Iq^mZL5NVovV@`J~Es2 z&f|I28cmmjqC?y9q^2smREkR=*6mjB2Wt(!aQQc%FVd^bk!>#H^lfJhb?LjKMa!hS z15WUIxZZ5ID^;7Foa+{T95mhDvQ2a4R$k}J!z6u!*6dX2@#_RexP9xEg??;oEaaYK z*Yzk}ofC;W=k}jMN2n1xx^NaD6GK8KZhvLCxFZiV@S0HoTHBS$a%@hr&h>Tel$Oi# znFS|aRz(|wjA>W+99JzL%N^!`n)hB>bsF)qIuk24yVI6m?FfO@A}8HFuAj%9aK;FHEd%E-gEL4Z@sN8|0zT#T>ec8}$_*bNx=3{35>(4`hn`fRldjiM z&}Q7yY1o*@_nPSAZ`iceLchPS?-Vn0v9ng=vv+b@`IK+^szZjO(kIpUTMZqXk||K+ zk;ZoX{HK~}598i$Qz5pj>~CW3I9HXGpyh8Vb{Um5QN_i@!{i7~JC3mrUsUKWjooA_ z-9yCge=RNn7hCxE;&6YH{F|{qGxHXPst>z3`Jpey;*2_AoDBty8Wl- zG}0GoQn{-?d$oF+!BZWH6FhsbIs481#W2umqGUI5TIFSC;g0*#v?rtm8n)cjjCrBs ztaI<@KI)4*Uc9)l+jWyG4X3LHo9F0VGm>;>;_Q5R28(nWO~rX{c9Ae+lXvsiJYkpV zwjQ6hEgWB#{CK(UDtvQR3=6;M3ye$w{N z(o4M?mze1Bz^lvaf8>#lvHrpAQ_u}OMM`YgSW4Y3g0@=yO zpDI+$fqv7=BuHM!wqy=Wz`o%-1Z=4GzKl49fsjZ{a z32NS+S#|7Sutkv6UWzkk&e%*)y7B8%f9>ymmOb2`0R~+~M@^}5g0TV$Es0@XAQFriHwS_CL z?ywsjD{u`~mo(0?AOTu_%E+*60c^3e)DZR!3#)-lny(j3J}}>Fh-LF*+1%ex-FohI zf!v#v)$XQC-oj!)v85uo{1Q)I?Ow8+xQTx)RhyK$I!|Ptq;qTD=)b)Heiik~pZQ8> z_UvBH@TE5Gwz;{$^RzAZ_LJ-o$J8g;`BPs{Qw_=Xcv}eYQ*(;4+}Qall{%WReVZ|QOoH* zsW`Sed8kur%MkUchANzn8y22Ab?R87?|_!cp^YvoMI1_3W#?$MpHlR{Smz|p-67f# z3|b!T`kp$E5Q*~Tp}@$zcZcg#Y(9PZWQfXXa6jSO*AEvrYz{h{o0r$EWW1pwSVDZN zFO`bS!6TWju($2FiKIEzMyj^sMlybV)R`yC&OMse9j3{kSyF#!^OWy?t;fczq0e_D zcFxsZW-5KWhu_t|_O->0*ODiBSZ++QO>B_I-z}5>#s0j`w5R)RYS(4O*qxWu+0H9& z+_Jr>{P~t$D?i!fLp@|JbDVXs-!@fsPPDhT*KYLg{*lQ2j_qpUJCsL{)8j19d)(gH zze{c5;tMO95Ij#*#OW+*G4VjTul7i;bezjrruTRsUMVluLYW?=P6M}~lUbcXYANvvY<;Wy8 z9X01ppA$}=EZ0OI9S|QVsbqg{_IU|}Y<9pKAu6b{1evpt`w7tGH> z?A<=gvb1BLmO3wMWceb);8rv+jy7U=6J9yel6}|Dz*86PHWL)a4RZQUJ zFxJL4-;y-HvDa8a+oi9|tA`wM)YAAYwNM1}By+Cxd6%(c#NF!&_(0;3U5aC)^{Y!y+<^8B5k+j=+zlyhKY!9igqCm)#=ExL3#rhk?HA|q zcQ3wc`RUE)$;(FC$P+JKmUuiL;D|UH!vGSK-*oW4TB z*YLnsJNAG0YR7Wj&(hVY9IJe!&G9f;J(15@P3Yu}ulh24H;d1hynh*7B7Ob}=}P22 z3ZD~;ukUS+py5p4{#m?>jfceyHo$l563_h`8*dewv6spG@`$eMa@;GUsOYEG^5|UY zy9c!7%}AHEhAhlQFLn`U$q?VkI!R4I&56)+{1bW>CB=V2kHMAUDE&LRb?VcuuC7QnF0>oNR5q5L z5#MX`|FC+`9`YIv#<|36FGXbDb_bWSa~V_$GW(A4wqCsaB>O7qg=2|3%eBs9u0GGJ zj&1j{2ta107K@-6PxVD{ALNiZnVXxt@-wX@skWh^yQ#XO!u7iR=A%pA|GmD?;ykoW z2n0D&KiL5vc$rjAgu>B3p`dV>t5ovn|80voCPPo`ppnp|+D>!4U4w1n5bMOD%M)lL z{#Z6}EczQWz{eFgmTpOJrjH1f*|T-))|H=I9gp^@U);;Ot0GE5!bp1y@{D%?@)D8* z73)QO^ygUS_U_9j{u6uKq_#_%_{YBrP>gv-2Sg(Fr=87TG3 zt3-aF#Cl}&n1L`y7SkyQZUuE-#f@5ul@}@&;9`OSBP%2%grTT?`^6b%OOt^s6lW%> zIjFfW#^IJqO!d{e&XWZ8x`yDFF5sK|D^ormVvafZ@GCQK>kC7dc?)mJllbHtQ%4X? z%#4~;*!16@3hcj>0c*ygKu?(sPjq!xe>#+NC~kk3%EHAZx@XTGJ3T6`&Ef&VP*O%mY2HA40Hugo5}d60C_T|8bTuQsetmoL_ReuGv z;|mQNl30(PZiW(E#56^WD(3<8ugb~IW#V+=lamh=ar~9uTm|3rO6D1rT%L>hR4?Kk z{(pS6Q;~W2(n!Lo4*$9U|F2os;h3awnP<_12ap%qGh0Rp#})xa(lA8x^5sj?C~z4U z+GyM720nWS23GX?tBvWkJmqtB<${rbQ$vL+!lJ^2Ed|=%%KQf2>_ms zk)N=DO~D0n3267SwDc|}`<2uzhMLrACr+E9lvPlyhw05dqP%WItJrQ7vIA9!ob$D4 zx9eUU^mMPF+wm>vp{cxfAfjE8lhD=FmLVYu!+gVai01j(d;cSY_H9MR7DajUdZlfK zN*6*|r&5iq_6G$&JrWaeLh?zrlV_u$uf>jSuC!O*T$G|dZV#-WUDAMrefHpPWn(fg zv7vplO=?~Qzy$r>>~mvgiFy24)ak3kD;Tg;8Y?#1}O zb%Q4DbC|@5OG%+E(%&3RE(GkfAYWBxbDdC79E2w-8FMjk1u7d_>9U4xcP*)FYp z4o#hh^|O!aYp@wMD^fYG!stl5y1Lpv2iz9GttCg$kw7kut^TT3@mYEqO3gXOTEI3c zHs}d}S(UXA(-lIh&yRS#>Z$85f6AwD@7`e68AfAm)W-dFD*H-W4ed%=&+_^3haCpw zzRZ(1&HQJtU;TTpNB+InFB=UN@UQK0MX@;%!gTe`bMJeb`&k*as9qGqZFNOnem*le zC@3x|iMU|Sp`ncJmi-KcdXtPo4(Vs0fEQNSK6yd-o9spr5aCV38cSvPSvC$ z!Lm-=Jt{Ap#6xs_>?o|jfC%vr5Y=h{UAUF4lt7)uu-P#KsUpOh7F>%^E?}jyCuo!- zrd`6Dn=qB2@xsdZ*$(Be^HE-+kq}eHw&azSl^uz=<~OnbMQyD%k9f^O3gpn=fEq+z zenq9w&bGC$_7C3^Ej!2G*w{$0P{)A7WtXS=CcR0EtuC78`jY9pP>oW-icI_oXnm$+ zA5FB!?c${5WR5Y;3yi>0V$_`dm%2*BV1&Q=rrLq!S~tytc{&{Afl_BLf(;O@x;~to z^n(@B(oh1m*ybA2-7I|uRQY5LEv#G_Z^5=_HVpRMDO}nwA|mqaFehK|t8zx`s`0f? zM!nbIqS#lYsv@jO4#GIVX_B6MDbeLWIN$UdJ+OxM_AxzLT3VQ!e{P?)cpEvaMk=s?jA4_@~pA7ui=OKJuj zUi|#2l&RNp0O1pgR@#wgD>1?PZr2SW-O&WE8MiWqpFMooSU44pfpDv8!pGKqY5Vs< z6C0$hxxAM!?y)7O9EF>VH1TXJsQd*PpjJtuoZ!;(8B%c%_D7@&$=%qV=`m=+)$S>JpW&LAMKMDo|LS88g0MU zZ;##F{BS6uVQ?k+^j_t)dWT_kY9UzDf38O2th)Yrq~~o!VRq4^_0Tr!zhpv- zbVuAaBQH_I$0CYDT~RmTgPR^a*X7WEn%9NdwcS!O-RLK&Iof%K+9uvH=f zvKY+ac1`RhR}+d0{ufb#3$~RyV->Fda}_qIkC*?fg5ahL>}mz?(3u@>&m?Ph^A|44 zD(@^N{B_S|EYw!IXptrcH1Mrj(R#LPAzG6|LqlDxs#aE37LZpDF*45SFL%)vewpg6 zWd4!xg=lu_7c6QT2r;G{#gz+N>0vWk-TUIIdOOJyeZIyP#)Aic;a1*8rnj_1c-H^; zF`#$&)g?#`Ohf?uujOsEFKOK?=)=GKnj|1BnLd3qNJSf9HCGy?9|2d1fOA8@6zsE8*zrMXc58T zYLOKv!-_UcLH3n0J-)-Jr$=UIXWR8IMS0sVXW2`nG?hP2#Ba1)C}!HKBGILDVG33t z5oGh(%nYR@WwFhj3aAQ;_)`UU3iV+4{e`hA7kAxjM-alo(^cGdj|~Y87ULb*r~wE= zNC^V`>iQE$`(D<1lkPz{nV=$9I}?cEU$+X2WoHIh04!ewJgt6J;{H1|QXfYVa{@v| zEQY-VC^yCwr$vi?RxqrLtopkxiDbuQ-zvYipf5ehU&z1=07)W(t@Iu)6FoG&nrm-Bh^7%Lz|$m8t~t>W@!4G_i6aQ~I!G_+gs1=!3pae)i$4A+c8T_5m767f0J=XxwCMBA(r`1^OxC!#ab5<|316#cZJwu67G zE#FsD<)C%h<)N7H7*95k&|kWnr1%%a!9xcR5)|QCr_xH>xLrAstucVOp*KJnzHL}> z*!$*1lp*Y>em>62yWg?s9}Lv@wGqyWrKKfxQB6ksm1jirncx&HW29+0{lZnV#wVs# zWAl%0C@EbtHs*#SZo@x=Cd3>F58WPrH9Jcg#zNfpsagrjy5{D=w#+BrP7x(1EiFym zD2#Jox+b{`llQ6$LB*Zn$;qCWZ@}~&opHGl9v-mi7wYK5d|104*h?o7Cm2!Y$}03F zW5hQ=%wCk>f7M-F!DM<-n*eldN~%11FxxO~zgDx}3D7j9&wX(B3UFgD zf+8c2VXU_Z48x&Ke_J?6Gi>!!%{6v@9v&V6=M^>61CfA&8HCIhcH~it%c>q>C;r?57kmBlElsqv*l_9L*eG8Suo#T?f9|)#ekeXR8#a1% zyAC$!Y=C3ZR#t-Oh>XC(l9v=8zay`$8bd$()5}Mq{Z+e=1h{N%ZQJ$GVA%x4n^P%? zPjlY--2Xc9=SWDu%Y4-DyQ-~m?h`elnF`yet*7@GgBR_3scUB~T=!Ngf^+=Q$v43AV?T-+~IKZwYGofQ_Ak(J%Uty%S8ZDo138D6~?ND5_D zTq3qhJa8xS1Lpir+gf3^eu!{o>ao2iPn-yki*w0px2hEStM_V|7QCaq8ZkI@jOh3i z{j}g0;L^lghkj1)0r-t$XVzr-K>jdx1Mjyb{O9@Qi5VGhV`5m*Pxy==h?(Ky4wQk7 z(X|jJQz$;;b3)@JUm!A0&CPLl!Il)lAcXz=`EzAz08t#kU@`OS(BDt>^k((%XFS+u!qV@kqcL2r7Mge<${NY;n4OdDPguhyT)&6$TIzx{qm=xxEDfn+MX+&{yN!I$pS5kO!CSxCLg6oAT|~*8&7W z$z<|a4LnG8%i3oTw%RXNsSN+vV(i|a!C{Q9yC z&=)r0=i!lQUUhr?=gy=xe*2bl`qZiCQ!j}4V6BldHcq$3B&pr9E)QKB9t}{E85@7} zJIFg>6ZOtUFVghYLj=jpq= zu$JTl;LpR}L(5XVGUZ=r5=`zpS!nNFrkS1-1_T-YXcsdh{%-~gmKavoiCGei9`Rriqr6pS_ zoSFN!F^as?{p)7vGYJVIYFRHPs%Zd&K738O7l5KCJG$z=?~hh|OfsmV_S$=!`h6FZ z6k#+qadUHfj#fisV~O&fECLksci1RA$(G$qR72Mz(kx%8U1`LV6yX|`F)}(wWLL%( z$Xud}Jv5C^X5Xk#SV3A^X(?PijQ{O(r=dkw2R6)RKCh!xn@6r<)r}Qd9}=K84;}Do zcbgq*2WmRJ>JRY$D~z3Q`u1%SLs!8~YW587rCn_WAQQxeNB<(GRa9!%R!0Zi6pgb7 z(FL7RH3n!9u$nmm@J3`9B&#@490xI(;X))94Cr*C?LOXS*&l)&pmVLvjs+q@zmGIW zL~LyN{hicr9vgbm3tY6e7D`Y|I(GEv(GOm+z}Oi4>_xLH`oo8vu?>T^<0$g|u56(X z7L6(jqxPQ++jltb+Y{{8m&!^F97nq~K-FO!8Zk4BcW2}mjnzS*FuJtR5VqEnC9?pm zRf(ZMn%VhU?cZR7_2P{iRG4qV0A}$xoiXYmj8zy8seU8k*ZuZLHrR7E5Id8~${=sE&~zX&+a23si@&1_>N31!_(R{q>D4Dca((4P08)^iTN? z<20n0_zhsktvR*53Nq{wb=oNX2Tr{`rTuFXi5p}}cxc;S)lSV%`!F-A zh3YjkKX09dCTi|NGvcww9a}4DrNQh2FOa zbWLi3&|d*!9w2Hfh&PfHrbxH$+#&4RT2-5eV#QW<8dYVY4!QcrXQ_E#qCWmG@(cUM z&W6`MJ{P5=wkRgNC8pZ5%+1V@+Ne-DV@fjM+)}n`}Xr!d+$tYC^n5vO$xVfO937U2nbMdi}UgEP0cjOPZR$E zWvgp!?8$o43@OiYX)v}q`x$d!U?4Sf*mJ-nXnYcw_Y2eRH#~pdxNmnxMg}3Oe#*)s zJpV3a{qe!UhuBmQ{K5yg#*N>umDK8Y=&HK3=V{j3g^Y_E0HWR`vRqo*wEo!CjwBzhTL6!{=C`9L6FrOT;2aX zIyVXS<4LeO(qdn*UDM$t#Y!)`8RoJ4c~ux$_r7iVdiO$9-Su0yO1etjZ^Yk%;%MRY z(7D*5;!$K~rXR*zU*l}?ZVzYB6=TfjtYKPp!d-3UIS{rX@?zm;`d?7ey86Y|1u!Xb z9Ald5kEpL)xf1^A(;GPR>YAD^%gVl*&yR>Ws&xN8k!rv~8PV3mtb-blcNxB7mpkVa zz}CCM)lman%VjcY+g$?PiOd~Dr4d0ZnwmyoGcGkN&WE@f81r1%^Vg@$OrwQ~hkp@D z6w@H;xzI0xo;VZb{geHh@5&dF&W&nNIIO!~Ulw#z8& zaK*;~rvAvc=AZAd7enoD9|Zu$H1J25@Ces6A<^tF&(F;b!sO2cv=Y4F(9O1_siifY z9=7T+oKmPdbWd$FatD*m#0Fvq3`mnNJFJoS@mmbxtu}%iHT`LGnhW{ZkF>|Tkfz1r z5)z`avYN(MagU}@(%xWb*4xMD7?&{>$Q23W`rxi&6V;is4|wQKa&i(XL^lAJm&?RM zzF^jSa_shr?kA&HGLLk zlc24H=MTsJLN3-fJK&;>pW?9~=@|?aqMy`Bpab*5<&X|*(9M+wu~iykz$hwB7}$am z(_{4Os~zh=1Ft$vwczd}*ax^Lbf>7~aRs;qUKkDz4E(}_QbNIedQ%kF9ewy~5OXy) zecY{><{@(CN_MaeE7tuP=Ou^iLiFI~KPjCNTPUK;?)DUVPv0VSaZ2-Hq>Cn-%)Wmi z0*h@6 zyLRP(I^WGTIf)6wJwl$4IT4@Tu%F?)>(S2u78@NMwJVdMjG`f?BXihPHdkqKo0^&u z^Ju@-byhV>3>To(`yeyoaYNEY@}rUx#3G4{%7STg>8Isa1~!h+H~avG@K-*MBhR7% zK4J{O3Rz^$ISfw>+1Xb@d)l(=fFWe=DdJyfZEbZ4<3>;SbPDM+@i-Zfv2VEem*007 zq5%fFxcHTiAlZJFs@jA4^aqpgp!t_q?syCsAAyU&)gf-wB$!;S~f7=}Bekx6#emUAnXtFddNMqt)ya z#S~Rrm<&+v%7xs+Q&XR{-rEc(_BLeWS6>emPQGjyd|yxyil?4}iSGp@v(;7;o?!&C@MlSQtN-sihq-5sj3O#WZgMpb_##mt}0Bvd$57V za|a+ScKS0B*MPE*|I%@TzPmsuLFgPzL#f)LB7s*ihMg) z__l@GeJ?SBXHDJ%KCcmUn9<_b2GRMP8rPho7a=y-&`GA#uzr0s$gxF-BTb9rAE%cw zF}{&`G7nj$%>&ub$o=U~;4uA<~O}+fY&m zU;8F9arkgb5Q5QSilRv_4^cpOow1 z^G%~BnSS(O2PUD-51^jYnI9-(FmElw`>Br)i0`XMWwx~y!Gnnuc$sp%T;>B(4t$!p zcIPneInEnLA_ighcU0IiM{c8Aaw`=7%OWC0fSv&+E#czFh~^_GiS1Sc4po2cbg+z%ud07?@>cv6vz&mKZ&Q=6 z_@@SRQx;dp7S%VtafmvdoJ}+~J#p#JVrJge_22~=uE}CVD~y4ikm)7^Djo6GWh$O6 z)6bt(ga~hVqlycWfyXK))YfO!2&hiOCg&lr{bb)uceJrCWgTsj_tra4@2@2deRfSeEA4XxbmzGx4O4iBAcD8{waHKN6aZpOQ(a&khn zU3wH~-Pvjpdi-ZgizUW!1lGp#0umAeDSC309|e%#Z>+fRLGE%|o7~Run+btty>EYf zPkvk^Z|~MNDBM2}F?XDM1}a>jfH5mzuM8eM{pwe;7f6{CFv^*NK^@ObXix}#xOEDx zc|6Uq6|lYgE8d9(;PAEL8~~6J7gH z*3y8==ERig8xms6UZFj%Vg*i*wMPQ}s#A%fcF3*tE)J`Gmg~^7nRl1;^vSQ4EX?E! zmz2&aWw_6L+I;S2Lq(Wh(d%!QMk~y(%Kenm7(SaNa&~PVZG~l*lb6o3h0^K&3r_VX zbt>Mv)uU3^Y2)}^ary{Hp5yzOTjN?Awt&A>q-3!bBFaGlzw(1HP^oIU^yD$YY3rt-7W{dfb*qV%!r zs}m)f#XoERPKwxYUxB8WO}-uvVa{Y`b`6Xv%ADQ0sp9I@^UKT6l-R>>I<%1WHP6Af zx?=O`60^a#rf#~c@#e-pN9o16o;5%A_xAVyzi7J3peXyVy|6S35&}zihb%1JA=1(y zNH@|g-Q6KAAl)D!-Q6A1T@oT7((nDuf8LoLnEe1B?)aT^#ktN9z*PfeQgY7#6p-02 z<(PuwfKC$tFv(e23P41{E%7yQ&D|@AOU9H<)LL)30Xnr9sJXzYqN1l4J!1CfKsIog z%Iq3=k~nc0`qmP%vrjEur?Wkyq;tL?btF<-A{LAC4Jo@jT}$)5BT-Bj99Y9)^~r1( z5LxKf=Q9k|sxbA?6!FF;yYW;0bFh3kSJ|walD~6VLuWkJoL!{}KCLP*DrlQ}5STeN zftHYmJ@nY;{~DKDA^CJRYNlBK8#nA-5oezgwI>&>*@t8NE1C{SJK$}$fgtIaG} z9xUinUQHh?9UW1C0MuV@%pGhB4MXjQp)DFXu2?%*e{1{2CUqd%U?Y@aZLgNpNN2+> zr^uP7RiRS07GN`9LG%x~_}n0hH^A3yMsP-d=M`)KjoOJCFyn9driTn7kO@TU%r*FU zwgT>k0W`I%_vvW(N-1iMx?jpQe6*@8RF$!%3?E4Tz8Bpd>F_Qi|9}8E1(q$Z*@8q? zJ-+)7*?W;r89}uY6%oA}HqtN%25o7hmpCk*Pd+QMrlX)>v5V-tx_Y=&wq$txy(nqT z5BvhEQ?bD9r%*1L6WZMZEc*tD4h_>K3sy{TI4t&qklEN+O=S!yBGJ)Plya4|bV=BA za$Ik3>V9=2xSy^L^|ZFay8a7P+Q>-zFTD`R90P9n7~b|w)OvM$Sh%m)!@ZHC%4aOB zzy*xHzUFoNX&Y5~Mkz_eBiGUQRa!7fkbO8fj`AIkv%?7qiHWuXW@aj@oT4%VAV31y zvA{{ZPw^V7`QzxFTZ@q=^w&u8vT}C!;@bG{<2eY0P*_FHD@#Ml$v}jGf3r*Be&-*7 zr?dLmFN}mFMW=Q(_3D*XtjzO}K)k`#vcj`+*M%-&r9qTIOkct_n$^xcEGE% zmHTp+`vIW5A(ArG0I`O@J(o@jKpgF=>b#Cm0iU$e5_o?T%{QwexHCeqgBQ*ptm}Gz zB3PY;P5Q|yzcIT>%_VZ_drhCxPAp!bst&72XdDAjupjK_G4psvA|?yJ%a8cDbA&ja zEKf^+@&&A_23MrbUvv&}B9l!!0XV&j2~&6IB@~Z8cE7$b9&`*S`Kz_00O@KAAbYQP%m?s&8K-hJz#Ac_ZfsF84eR ze|YMdeaZLreb6DOS*ZIbrj>Xq0u%vt3&k~nWB{pec&c6;F=6z>mHP4m@#9qIl(7dr zK<$2vjO3SAgh}csHiTtqRlF@y%h##^O6_6G!$nEckJLq9EI3c&^v}65YZt~U$h5o| z;o!4aQP}Fd3D-^$r&#U~aM$+5-FO_dw4AT|(Zy|^2e=LuQiR8mwc^@~5$cIJ3jcl4 zQ+cBwRosJyJ=zjkTcK z`@=Hcum{wcR`FO20v5b$^c1a>?_0CT$8lwW*WsWT$uQMhZTwSNv zm)@=ZtS58$R4`^jT~Qj5nr6UKk7fdGTUYkhBP~9#SRo-j=E;zCY?D)vr=jIZ%^p|e znwyp7f%+V7oDE)4t!*p}9RGEXgY*6we7JCF?;v-RL0OuIbcqY#nsSrxAgbAZ= zt#0aqVWrl<u#s5dPNRAwBDj!xW!#xn+>n=cNBc?J~hInF1QkIvpM zY`&tczdU0hC{MzJvufqZD_p&hZ};xPM1P)*es28Py|1PfAmB@~3cOQI4V*fL@fBT$ zuuceM3!dc^2ccu!J1ofMi7x!kMb^;)(bC?9Lc8tix6z=}i$nyfo_$!te|K49nPI_l#R$ilhi#= zybZsV-y=C_QEVSY@`?lQ4tfojVANpIK-RSJor+w&p7tak61}!`fe9J6g)c7t@t9$@ zM#Lx;Sa5U{j3^73|FLC;7JvMFrP}QG)U^Kbc>wl%E12ep`eqhrUT}N<$auU)8vQdj z!d0x6U`oeGn~Idf1w#iBG=H?e9}jMDy`EjS%&)3XTba{uxY2`l}uYnMd+ zC>9iaPkCso0EXNqe_KjQ%#>EPAj$X}T!?-C&eTp*3zTv7;>b9Klp6K7T2#5o!=VBV?CJC-_GR#jOz^_?#|D;f+-C2bxRAx=U#8 zDdE2GDoTor=yFl}1sO_{g23(9Tn^M`)Ig3rBWQivLp^=}KDOw<5Hho{@D|`n0G9MW zH9=(cN222qPQ8#IlY7fB^7p{XU)8h^2U*0G)eJ7XGH_bC`mz09VYu{rf3f0fj(c`O zHZ4}IG)z+o1cAAdWIYXOd)37L;n%(Y1BM5|ZVhDidApw62i2l%>%Qqi-j0xm=Lr^xinmBognS=YL6S$z~A8`AR`^}q7Nl7Hn+zUt#?~Uqyf;f*{)9rZG zWJZY~0Dx_3niJxW7`38ns*G8iRm=EEXpMrJ>T)iyL_w>VhdyX?W^B5?^008>-}4Oj{S~DAKCZerb8(&ZF!)Rle~P1yLR0wAB&${!xO2W zM$NeS(d?U?PuJ~p>qacVO{Bk$=aw_G>KYq3*Ve|jE_X*UI0>WwkeCM`sFV~MrSruX zeyHb6Nei9`+donTO0AMTpS9h7JN6Nz{ib~7hgCHiX4gzPG4j$c;zQVm zFNm^bE9Q!AbHv*w@H1D@ew*#Pf;LyZt>{nl3Z}0eDkwB1Q2ZJFsH^&amrcC04#Wqa zNVR79jEWlT)6V@cvBQ%^qf-kQSFDbYid*wj2NyYPvD1z?VA6RlJ*IK63`Ho^e(==Glpf*}iVw(U-Ih^~5K~I6=PJz#)t1WX zPJQ4(S=@gRBYY;q<2ojFPWVztKJ(EQ-sCa2`176GIa`vmMWSA-iq_`{c(DFxOJfF5 zC9?ZQZ+gwOwU93>pSSP$0z5K*4u7t{5#MBtqGqttOjkX+%Kxp9poVd8ozR7(hPl;` zO+QJvR+$c45es~tOGwB5c|~m*_)(o9tA}G?+T=_V!rBK0O3hWo6OxVf>rYk8*vVkXQ>qKzCa8s30MMOI3kKF|K z>51w~&1o*b+YewoZ!UFBrbZJL%pG$U7jn{yQG(LOLMQA?y!YkD0jt67&5UK;mUGK+ zj%bec-QC_qb|eQqa;g?<@S=J;V4MM*NVOW8u#S$Lq)d`|Utg#`2OdJB!TXIIk0hrB z&7vn$dod3-ev;!MkyB8%I4J$+gs9s=kt$OFiOUg2_v+vp&Pd2> zzxImEV%pKr#Hw0gw5qbtyO9NdsrDPs5z%SAhyFlfe20FIWWk;>u+tdLoUJKqVZZ>i z^uFXBbPSA$(|+YSOJ99sv(7sr3+L%<;v2pnTvep}VFKy0qq7hQtR%i8PsM0$OZASI zDOmHq_8Oqt{TxdHCHjULE_LU9Tlv?x{!T00QP6h~HI3_+G}aLh$;%5ZwZxqWsN-u0 zF?U`O@<$Fl1^JYo+YJLqWMs-zX3^v3*FOShXGU;In{q=ra^s{+Xbz$RCfRi?Rhtd+p!&foAw z_!Emf@ecu61?Ap!6C)WvhOHU>Y}XpLAz`?pM{cNSG_ZP8>HHe6c%LYd&xN8jMNwk~ zaIh9L0eU>(-2+@1I)Eji;tTsh#ZskNZ3jh_Z@{s@@oTdZ?_9%jW!?0gELjhaRiv(& zSi4%(RipS#t+~io?I^_hCR~vt9}3OWlCohr4c0|Kl0?#1y*QaHswuU^Zqd?o5|pX9 zbkgyy+8|SCtZBq49Ut8>0)Z9Q78G$U!ALr}3CT@?zPS==;fsQzm*-Kqmc<*1lp4F{ z8h;Sj)a;@<>6SM6Mw$gJ@M& ztwfOcnGyTTH@;?+WUvlTMI7GEF0d1~v!Bc#%O?E$_`Yu3+H5sN)xe5gPgzdMZLGYp z@I4dRk>JOogru7EBjM8dglx+7j1nBCJ1gAzkw%+9f-r8SvscDH|A20MVs@0`{Mr2?VaN z02CphFapfJy0-SAe(Md;5T_7MY~6~j#LOMj@NlPoh_+DuQ5tjFYYP{|(#;|4keGsh zXCi%iYf;Y?kgvr$@km6D(t3#D63qECXO!UCBAZ<%B&X*F zu3Es#E-%-FaIQb4x7|Ze$i3Y~{?%Y4r{>CONf6qXWVM3bptBGFXW=)>D@}BgY^;3` z9z0>Nzn@G4$&QZ)^h%oJv={U>jY`>+JM06N9?L=i5P2sbJ{K(9D{_66aE(kGHfmz^ z-=zSLml7BSK{&rkoL)|9N(Py@*Xk00k(my@tbKGH8IdQ>-ZsYL;!0T%$HPzk=OpM` zj1m3zIQVC!t%8zf3|<+RlyPs2xff77x$eobCPqJ#l3hQo#{o^yzQgj>ZC1*jcNkd* z$+*>AuvSI()x5@jy|3@+Er6*0u6^8eqxvmeQUvU;8GS%~#o~K<67=+t-$lv7V&-TK zrwAUKPH<=>N*imsk3JNR^ZL260=2i(G+=yhBJvq;s5`*K51lFSbwmlB+Mo8%(1Qu7 ztgmsrwBV+R!S3fL$mwQHCFk5?*e9!)51(||%d`#TRvMQ~KoDzdD-BxAp^`$TTa3Z3 zG<0C3O{Qjv8({f?%^)K{f@kwi6zf00xjqW8{T&@0K?~ryh*_^0S7N_4ked!b zeg<~>)G-KHqA3L_HVX->@R(ejNT=24nm>j2Ev$#mg2}{Lvh~m0+~0IFL?!MIX~R#f zz1iv>#3bLEj43gl7ubM8B~_AxSiohSXE}YWKOixqKM$N;sQ!WS;1dLXZ!|BwlphQT z4Uu`=Ou@^U(z0-t;1$7<=x-DXjG2L27?td=_xP!3iH6lTTm({FvYSG_t--HzC>?)X z?G^fUtgnQxuN*chWu-@Pz=(51W2L18Bf}t&K_9h})Fi>Gkn6++^Xo7OY*dj~xorx> z?Wy%)yU+NhL;M3lcd(!;jHcPv=oqw?AP58r<;#sAs}n%<7Wxcc&0319g?*2Tp;oA7PwW*fg(P`HIQyPxi_zM+#LpY< zv{2D?(4_B%O50av(b)BRoJ|VZM$t&XY%P@V<1HuytR8JGbTo>R{9S4)Bc2*HGbS4Y z^c=xOh>ni+GCk>4*&QA&{($=5!B1XwOoub+c7@fkgTekieFtK zHB=3pM>g=76!rZ+8rur2#AuZrfNT5JNgRvLEYL}?kT7Tz%kr1eGB%6I-kabUy!|`% z$tuS{9QBwjz$|G3Cwcmz?{!?%EQ3M{h%NjbPhjjW?by{bnXJ5hodsCT2bt>;FRm-@ z|5}@oAUq69f;_?9xYReh37^j-C zd0R7+H##}^a{*bIG3-NqJNIvd{p?tZVMKam;WvlSS0)rvsYBBHkysrD*4|oZfG%(M zeMd?fy4;Z!*t9v=?orc}9VnCsk@&MSu=g_7m7t~?$O6L!{&!s=lAQ-%>%0b@cGb7D z#CM#O`~myJxZ~m2`B}WN4XLan%e8_1r?$CPJH(aO{c}h6zX+o*GIwBOM>nF$iYDLs zN9kr0 z^zakGIgQ=uj?bQkM+mF}vpiGV_c_>O5}V3a-7$8=;o_zSHedZd|D}E|wM81!xSHCd z8$G}mP(35={M~_o_=E3J?-ood#sJyk`s57-xZl(B9JS!(?}E+1krABb<^23FR_EaX z3#%{E*Y~ONEexJJB~=qmf=bG9f7-y{P6Bx^uaxHBKJn@Bp+QrVI$hsEhIomIeYLo{ z!%hd@2jG1DuCq&QBrecI0nX~#GQ=J+E!M2??fUhZ;-(VAl#^)+3wZ3}PR=w%g$!bl zOgOtwe@4me^u0>mytoJl)-C#e=oI#=CjCm_C%j*kJ!w>c|L^&W$f56^&x#_0KX|-M zo&Wwny`hTIHUZRW!7Gtkti`b z9y&U8otR5ZE5^;bv%5h^|L>UNuY{FYzvHtl-n_lW&#RG~udy4~&!w7VnfbS`w@~c3 zn!}z@Ti2L^Y3)n6m=40_VKUZuDLT^(agY$}lt5d%Ag+Lngl|4Fxf~Uu(s&P4*Ew1! ziQ%p9ES_GmaR0)OF|t;lbP2-6_#(OD>fGR!t^Y7Q!cI?ZiUQUzfs!0GQ?0u|UTr}s zj7q!K+mxynytPy0;DrTqCC0L2wDc~5#K;623+8HEQTHzV5xOZSHeo#;H}B+ zL`_4GQW6)=iTe)urQ)a>3O!cFw3|<%YZ#_8hpNT#FYch1PW)K;JG>6uNuO^}BNQQk zTl!8E)IxBtE0f_sHrideo_{^THA+_?7qWMnm}K5EqF&&XnhXPhX*5lRdwjc6^R8Tl&2J*`S^0 zFa2#*Iaj?qVKf`z2ROazcWE^{xj`#V5%w5M6jMHw^g82lO7{Y+h7x+Ip!KgPD0Uuw zu_zFz)hkY{7!jJGw@l6rF*hs77=4mJ8g(x-R-Jce`zdYotBHm6fS)nMJ8^ zT7b!eiw%#9F%Q36GDOqIcBo$Ks5~AT_YE=?3^U~i$nd%)U%k6q^#s$yMq3CQl0#)= zvtP2OMbO-9d~itDn@R4+zfr!8aa2~?V5bn*;TFHroHqB~Bb2SX0fF{agBE%~*&A>V z*ZR^-zwj&xh!b&(DgXlH9z}q4$)-mGG)o@JXPCRQkVcyV!%!L&sa~UeGZjCfioMf{ z87#WFLVBO+_` z)oRLx`#KQ}1re4z5e(m;0-Q0CeaY$k!f{|m>>f_HQ-SPD48J@+;?ZeHTV&}p1atKV zdno&JXP4UTwss>%Wi<`3G;?SuP#V!I9|R|<0}%?RzJ>~j#NKSa_@-?7;BQpv{kC5Z^1fog5WC0S$^C~UThE{sQdK{Jcwbwg&HsaGks#- zUv$JE@=^1ZjlI1b1j4bTCrjTPgRCih9UcL>2Ll$>u9ctp0!(SilQ6NGa~PzDBD4f+_#MY&RtU#_c&PYi<9{J^gdgrVUKKr~r;Ym4Ay(TkLGzhK8F99~ka;q9eMl@pf|WUsoPm>uhs2 zcx;CL=wO%lDit2UZE1yl_rYok$oMmiR}zQ=4^fj|0)s%1BHHEW9v#vsrzgS58pJQk znJM)44s^EN^8r0(NRhG-m|n15NFK6)m6AhEQz1r3MW6lj_~7Oo=?7w`c>49b4vdK- z!USO%zJm70Sj@2u;_uXC=8A}xl7i?ft#W_=TBO`d@Jn$j`QQBQtC%H0 zAKG`r8w|q8%b+6}VnkD6VpChiXnNHzvjS3=#oQjxc+;JG4}X*a`&9+xqEb2GY6WLqWpS6@6YY91z*bKcfPaqKq+Z%S0R!^3NOi;n#bExL? z&R0m-8co(drEPRZs62QQec*u9ysL&UU|o)YV%JbP<(a#c-+@)HhN)%d0wWDUYT>dz z8)u$bxKtuixW0Ns=>22sbb;Rgn7yj)!2{+eH4`ADbz-E&V+Mf{ji#ggRiqIe)fGlY zur%t!?r=wnAw&MpHy#L_Cbl)+&M~iuL79~9!LV<58m0UF?Nol0#5AZxb4VOdxV6tB zc`F1%ymt!S>Rn(+?x%N*ZYc!Fv-R`wi<|Tk!v2`UWGD=VRF(y^EH@Q7tMhy=F0bqH zbN}7B#XDUg1^qKej3l8zfSn%A{T3t_mt@ER#H-SC6-fUPHUcA=-k!GALseL_j1`Xf zZs9Qv+#g~2ky=7!gK&$;>zoB;5`_N-oLmE%krR(k6jG^DeBil5Ob~YT$V=XyZZ_rb zUO~=8{l#N+O-$u`WLfau(c24I@bBsK&cRF^&yH+``?#ifmuX4PkL38}VlN%ncl|5o zAU1>vdS`!h!od6TfF%}?jd(puLz4I}P@WP98XO~qXIgJJot_|!b(DA1e!{!%;9w;# zB6E?EQS7o5Hzq*kO}^ZYH2)pW7@Li-Q_w*k49v%)e)MH3HuTV}e@{MG^Eg>!)M30e zddsmj`$b$^n@=u+>J5sAkQV|xE-^r`?cqSL( zU*<)RJ>BBu6!+I-nJFy8$oum4tS>>z113CYbK_2>wr;Lr6&C7%Vh)Wu0&6@}7he=S z4w5pp|0S`xXa_qu;r9ID(p|5U0X4`XMWz`@0=rspM7&-vZc#P#NI0Kwxu^-8d$EP} zTZ&=2IO1fzoNrR!Uc89tN(6ZEMtkvMdKe>|&*BaG-+FA5@q?-~zQOVqXe6}eO5bo% z_1S|1PFVwxEIlh#cGH$KSjfI0o=m}zw!c*9w0MFQ4r`3=cCc*Mbz~xG6My_EeR!an zLg0s?GUkd!s^EIhN;V971esW;W|9-lQ#cZB-rD-LJK9&e%N`lwOkg=@3}*D zZH73}L*0*sFICo`;}BM-j+VQsrw3R5OcARZC$$xFIJ2zIBpcXiP$HV3JXe3AFw?1# zL?bN4MYc5SfpN?hM(ZWe%?X{clASJkSiba`$_vJcR;ifz@y`JsOBLq%QBdLo;e?W& zp0hm(X~E%B%vG!MQy;u+bI-Y1qq$s*R`$U1r$`tAn&^8Q9`xo?@sRsQ zV_DFk8#+z7me7lGXnyM_qkw8=MW^JjKyCYXJS=i(71F zDuRU@!TFZy0$4hzuSnVg64Sm*)cx`P)k>_rJSzIN`I5+22sdta|5pj;N^!rl^uB z`W(4}T%B<;n-_l4i;!AI-XF%HfhF3o7$<2<>FtPmhae zy2phCpYY<4qsZhksH$B!RUH=&5A?*TkBe_1E|76L#)KTsa-lCwv^sCnE8A(*$Z1Eq z!%?X_{ebQ3N`MqlbT7vxz*Il9#n5+<@7rNEB1xSYbDBXrcFxv=a*{C z#0#jybKT(e5v1%u!~r4cqwz6w%lOi8p}iIb@pdBH8dBjDx60>fczj?+G%oHGKM$Hg zrxH}Q`|-zpiNAh~XFP|+Or;Cf+kKC`^7rI@>BTFtyMJv0;ftG7q|g&Uo!3r|bugpdZjlF7&R%UGS~O5uOoM^bmB-FG~?7Xr?Pc zP*6*^B8VR;N-`?)kaH^}a9G0m-}gRAb*#jPsY&O<8#&w8P+_^l@8l()#Fb7D?}fVm z@*r+;4Fx1JqRk)Ah68mVT=Rc*U`7KngO3XH+hej2y@43~TQD5l5nB4)Qz6!W!#7!w z-wgKTd1WvmWuIgJZLQN4a|TI*>r$f~YnY7R31k{Rh%-y&APQE?)_QB3hyO)2FvC00 z;$H^2g-)J!?!&a=g$-PmZQMdmc*G3N3q9N;w|}{(=ew*e6Jb$s-!il%jB`tcLt*;u zTw(VFHn!V71NJm?<@a5cHzhdFdN&u|Eo0CySIFJxNU`O2cM1y2cL#i`_Zzoc6B9j# zx{|@Bb*-ZUZWxzohBA-pxj|?AjxsWN$AS%)PI%0B?Y~qrt7)ANAcN08#iaK3x!i05M z5FtFrJ-p}&u|8kZ?XxkR7FT@Miz(y%StX6{$SF-%OqS8VS=-F|&(+k2iXC_E@cAzv z(F?=phGQ(Y7KA_EZ_|JL{0rle0f(HpJJ3)#oG4cy%&atWCLd~Y$=Tpa0woTlh@|r2 zBO1<>*~J~&uB@5!-2JTf=uU>t-^>v!H$Zbk;GT~WZXNTT?VeO~`AsUF^gse6`daM0 zy;QZrA*oPzDK^K6RIG@ZP7t!k*D1|uYPRPQ6Q)Rn5t-nXHzY+ZJ>ShVlWF=op@q`@}}WsN6knX2gJp z)B}NZM+`9esa}V+9vUCkypR+v8NNHacSEYED0OhSU9cU$ht!3NFunfo`CUFow`TOg?df}oD4o1a=DbnRW);MiDJkz@`*7#cW zSn40?cCH3swAiNT)w+oGenD8(m0`$`Vc?F-zm_Xh>zgL&We?bfiYaVrYs>DHR-HO9 z-iBDfjh-G7>J;^-V{pNE+^)gG8#meMXYoxRV?oR9vK7`HH0Y>(jB->PpXjTIsbMow zVA2c30Zl58;2o90Njx@HUF6YEd%S8M2onYFQJ9I}4XD$L4Suy=;3e(Ys1)V$_%ipF z^~V&?_0=8=m?eO!N#|dUqoHrQ2Yt)9pJC2fuvH-?&>nsoz^~?P1=C^UCEzH}eV)4x zX!JmfKnRF*5&wgOuIj;GtScLiPZ@?!iiCoVpr;*hstMr>>?W2>c+AB`()3(Fl+WT* z(P;@dS;RWEoieqwB%e4CrD|)dCVaH%#7sfpwSVr2FpTP}HFf+3)DcS@h4<8={IT;# zPK7e@Qhb&1Vr=*t$V}grru;G{7g{5vxoF^og~jM$=r*t4YZ%bi!I?1Aw*vx*ljgN6 znVt;D_0;OShm#v}+CCK3SkI#hU|T+slYDAVis5nMYFNK!i|iSoKbez2E`?j$qLl;& z?lw5s$9=?QSw&3xK)*HSYNd$zDxsD_dG6n(lf&WD7d@m$n#f^$RsLoqF5aSTe0YBJ zu35FzOwy2nWBz{zze7(v;=-#&RRpar%(X`Zl~#0(F9=PyFH2BQlypz@^he=9&N^^IhZg>_ zXZ#?s$Kl3M#`&xyl6g#S!KcWHXr#S6%_xk=(jnw7#j}G{L489T0UtD1>!^qd3-O`o zbzfI0etsT7@+T5M#`IIOqt?-w8K^D4_$LIkF9G-TQQ|D@h*fw2B-2c@1tXkU;2@)~ zNP(Q-1RTZedlfU;IHE9#rQb5?)%ciW@M3Rzfy2U*f$ZeGC$86LCFh704(f2-KCleH zb;ZxPZ4Dhio-GY^-m55fotG)D_D+u@g;_AdZmw0cJ&(zF4+))i+Z?uowf#eGLT_Gm z46?U5j@b*@A1@Z^MbH;S6zu>6Q9A!P2Uj>JTmY>~h%2z_l1FJ}=fd4I$6>AF9LHON z`|&0Li5^cj4a&;@_u;1FfLK3M`MaT)G?g@UX?6&MS|Ae``!7vjMdg7RlbfT-& zIyC=F&9%{vS*3z?>VxC%t@eXry`1C+KBS&%hDQ=Y-+3s*IVxnd_IJtPo5z@2gav|P zuV>-MyU+hBDnvpjR9Hg$$KKFhhQ6Wl*+CljBrC3#a?!U6lklad*t~VBFDXg9TQCge z5s3w&{s|hRiH?aR0#4%nWB&WP5lafapV$l$6^5`UCn8#x(d}}VYcd5p|c1>Z(m}(d}bawji>L3F6|v=GO{A0XsDZ2S;nj zr4FLEWCNydvDEJKKW_?}_uGPH{#yib^Qj3Vd^cV6c`O23arepL1$MCcVDaG5K{nG8 z)cqExnJM~$&xN#BI}O*}#Ie^2V#bg#sc6LHf)x2LFGAO5X2Pxkq+j3}yMn0lDqx3a z1*ebeA;>}(1D75gjnSh?&Thy-@VHMkdJ{^;TVxk^D)i~eB)`V8sp|s;vfvzb0 zK9S*p0NXYB^hhb3D*UXXdypQHb#O8vFZ*k;W=9c$SFTrVzg3s)1-D~Lzox^xsQCs1 zk-`7>0^~J|oAA!#(9P4U@BVQoHUTXUu;r zAZ(#9zca`4Q(&b_x+f6)QK#zc7YUhx!3ta-qZD3CsI7l4D_0*JyfJL*Jfg7fh+xVh!!DDL9cS zllJ59j!dIdxoC9r!|?h{X*+s^o5T;>k`cp{5&8ttpBpP9BJdIvok9n}eZ@{Jg3`T? z{8#n6lKTgt!ygktihUPBM#AW#(qY!ZcC7*0xaaKcRMKnyPDzMf&~G(v3NgR*Ox9{- zk2s1VR%Aj3_q~ukFJ1-ydLdFdb&i$KMVx%XG`gOHhi}@EE~B3?Y6Y1fVq(t6zsqGP z9fML)(Qz&Ji7>o)whaN4*Ww!aF^1aMjPS7C$Rrh(VRs)ovei6#)a6+3#6;?;i64f?IzUf~^c*aT$So_od(gOpACy(=1nG4Q&Bi7sksHB!k5A~>)~Eg^a?{8>-kedXMLA$r#pRi zt2Q&2s7Kt^AfxN%Lp9U}hQ`m{2oAE6v8_sWwjsyukb?jtgwigs=a{&4ASm6U4iyAm z(fWkgtsdYG6~_}Nv%`@g@?{d1HD&D^d$d}#Ufb||-<@f)c9ibY@21E1Z;voAwQ0C2 zq2PXY?m@`#c9jvpLB3j)QO8TZ+H^VMbUEG2Bi4#y9*CB}L8){1{NCyK#>45UmuFtS z!vT9q9{9~;%Z_jDb=8sex-lh+mM6tliVHuS5j{z@fDnZDZg~LV=;O#Z-}!=Cj%Dk* zWh(-i-$AZhAJ_Wk#R2D4{Sl2SThgv%k>rs7n_=qL-ww}pkWivzWR9R!Rf$%656+sM zy9rb<&S_>Y6oe=8K2$I`2eA=DpfnMZkJC|NJ^I&DLM61K`6Wd1PvhD}^F&)dF(JU> zgzSon9@t$NbVT)5)O@?X|Ao|hx{cAtT7wV7Jy%Ae>!_=vX;w`0chXTX;tG&-e7dEl z&5`*NZ5SfJ6%^}#QBWllQ7<;Z=AK~3O-)5#RvSouznHjnFPK#z{B*y-tF2@DG>ok8NWcg|N32K#7VI-r?QmFEDU= z2Z1~Jklh+?mOQuD(?0OUCky9ppa&SEg&i8BaQ*veG(<(fU^>LxmoSv_@a~N^G_LcP zn{9pHslk4=0-rT}r0PEf64gqT|+OYJHOjaZ2o@?(lO= zjc@;wJ)?{jqpe zRax*Z5lB=?e4I@?TG{JH2%$+-mMGMv4>_F&OA5P1O#EA6 z_;j*lUqs3)V=0ErC>k@~pWOT}M@(|PVr_xfrwe7XCSPL(5oBw-7Gn2qn;$0qjrqSS zg&Qwz0@znD7C`|xoR4yN11cr|vj4E4-=u!_3SN=76i$BFMpmP&4hykZn=r_2=Ytox zAiXDvP>wttnLNxzwkmE`Opr1+^-qwJU0bnpeY;{q5~)x7J~6M^Jy2`$!Q9y?0xciL zD|snjJ`Ih~Jhe!9w%?-Tw3Sb6{Xz@-P7JzXnMOmfQq>DZm94aH?3Z_^&TL5eR9gH# zK7rl@K|Cmtkfu(#$qbUrp`|RuEQq3&jpV+L$2uu?aE2wTo!*Pr7;IR)YY`H7t$3li zG=Wmm%(RJrtv0Z8&()PYxe7hkEq3l;wlp~!*6JY zH^Z7l!n-|Gs|Zxs4pmE2{`)z~p09P{R=w%J(7|SW{AS;KMLuH5D? zE?RNU{phlJ@u(+m5K-zFa({L1$v}{4To;ooRy_?squ$BCyy$@=g)yYdN^9mu)_nOP z`i8c8f>ZxQ?f8=KYKMai4(WK7|@~|KsaKcvyznKF?6*f5<28y}5DQdjZ6k zHykFX6^3ttKMfpo4Bj2KB6Fu;c`b`%I>VQk@XDRvs9Pd7X!{4MnKuLS{^V2igH_Ag zF+-nkpfRy~+UF2usfCZYSAYU^vxCKE*dBPMH&$wf$z*qtm&Bg;q3bq!4A98bb3G9m zzlsH3X29rB)ny@c37ci#Oavn+1c1zbqAC@%#K705I%!NT9ZJghjU+i^w6yTAVzQ3X zp_jH<5+6P}f5F{!czdUPzTr9YP{9M#_{f=3*R>s&qMs=)&+DzdrKwYM0)|zi zI+Z%7+XDO<3=({CU?AzDwpRSi<%;2~uf@gnseaX)JK&&|(%sj1+Wbuu5lZ0a4Yh)r z@x)FT5|-0l!v@^BAQ9=GhEH^nX4CAs}2kq>m(<4 zAjkVq{JV@VbNKBf;21!YjDqUXVKFnY{u0`m+tL7(HtjC2RKnRr3ZY0w(TA*vSIWCN z+ApA@Grik(k*SLAD;6d~J_Mz{`xUok_t!tj-wN{vjCUiUgj>SkK4?GkrGmk5H@uHG zNSv-J{I45i(Ml_4m7Y&fB2i<@LrgQVy7f?T5FdH&J6qf1JKDkUf(#_oBVMD3)Os0P z4=V;?NXWY*T;jWB8a_6|}+L(QU1cwH3EI6Icn|T#g}MmpBqi zx6=X>=fo|vD&^nH=FhMuPwVIuTk^dRLaFJe6h_Zu-a&}cPl$Q5t^|(_i5aFcBFDSc z56MzgNxYIP|S&}ed2sim{nt2` zH-TP9=*MWY9Ve~lv!k9UT47(Q5<+Q9&%IRxz;v%>oz^|mqz}#0$V5@%F^xt**>sAG z=-i?xF=9Un%SeTye=Gd@{R`o-TWT7~hdVIG23<&xPj#&`R^IQfbMSjd`3H|sy*maS znt50JV)9_}kqES6q)Nx{sq>k%?{gPGxMi*>s3*FF`<&hAsN()M)slk7+y2YU5fS160sYA7f^JZ&-pei>z+FT@Li_7$NNFY1SL0p7@>CFtWwiW z-3GfOJHQKpvz5NO5d+Sr)np~+DSQknKoRO;>dRlM>5|KvTX}UpMIcl4C@i3=+4L5^ z$nE+psz}7xS9~YmgzQ;|!uAyL(F`U2%xQ}L75rqrxJq!s5G#H%UMt6M2&RPvytGYe z=^+7GZuhOkDs8;KXbjYHqO-)4i8cV%IU6DoVi7Xww4SoW*Q1o@M~e0Z;X-h0eT5MO z?iNNldJn2Hrm77nMuww;*ipJqqohgxkEXK>ifiGT^$ZL?xVuYmcXtRHG`M?^;O>^- zF2UVBxNCx2a2?zU8uZS2>wZb-hB-75hShI!#oW+i2SQd#eqX~gA~G*#7o zKvH`~671N*JgEbj-Vp0rs|(n$zAMNG5P6()U#6BK@a2eWfJCzM3I!j2rG-urJHLnF z3|=?a#@H^qCG!^@3VyH^{a}M#?i<+mHt>BWGCStqJ?5XIwiUkK)!_en0ZRIX*h~>L zf(fuIjwZ_Pt6KLCZ$=(3AHG5s8n0&ph2njA<}6vzC4;Ba3^rpcBfNXn9W#kKaKTUn z67s1r%(xJc(QzEAT&q8?cpB30Ot8xbjawm=UkUq=Ye{R%$nsD{%2>}Ae;J0{@-gns zp#G|NKKE{9S(dP{k^k1!!?uCtRlIN1P~b?0X{;EG0B{BILuQ7rLKRxD{U`b1Zb1FC#28 zuY$v!FT~Oo+fQ=0V2@&q&G_IWTs1v25uB^nzv43CJ3$9JROZ~?kQ!pB&$#~!l}<-o z?dGB@QD|YO%-Uu5Uo!v8t*M19mpp1&{xN)WKae6*ycnsE+q49$-q*j>$51vC1dL9Q zl6rts+h}0^IN)`9x`40g_0eB-5lDko(6i&ckPH6o5`)q?N|Susx*n-JR=a2+W`;nG zo2y}HL3Xe_eKq8GQ-D06n?_Q!K)?`(g95YS;is~2I>+)|3_bn}BcevloY(Yd-npbV zSVtmu<0*tF+?CID{xtN=b4AM`i4=PQ-v#{ab)F%$YSL> zK98*CkF`5RI4FtIwQmVya&Y(ora~_jQ@&*G4M+f(s?eynwlbNV=*!Iv77;=j{8_NZ zD_MZyHX7`>2I^Zl#ZuFzN?drGDc4kcyYLi}*ht-MARQS3&AlIyQ@+i8tVbscb3ekk z)phVxH}@uNa}Hk5(_;~=rB{WaSDE42gE+r#{CCjSSWyP6D8v7rDGHrr;CbswtikQL z<$24d3T}yI(ET_twWbEHy4ElhJAhb)KTek>x+2q>L(rQDb36<$r2tL~%TzL=-X#z4 zX*6uHS4Gm8MXoAl14hjdAs?uWd8xw&tBhX${T=_6C4V1wQ415d0lh3!o1!4oXc2Xi zz!d8Wj5#?EZxI2s-n$O63Sn$##5quyAre(qhu!g?P$2mjCbE9!_ML<>hQ0m{n9z+@ z-J^WY^Fo6}`K5qEiU}G^V`ZKD=ENt*G&70V&vlLTls!}&V|f%|aiaClRk`T39-Af# zoP%|(IDk7mIlI-8MZ*e563Hrx|K0mm>dD(%iv(6GN`NXN+R*BZzk5XGw+)@p_3TJB zHw@Of$H4<$`J|1LCk3A>8fytIfbtuKJgMImhMGLRjii`d$i^Q8oXl;!poTIb87mEG z0mMYTX%dOHG^vbdm8#%0vJo3b*uWEzpGZtcYS3j`g1$HT{yL}Piax`aDO2m4kJ~8+#-MGU#j6oH zMl>Im{-LZVtfLCez7*GI2A1D!OQZg3+m&3;X&DRnzxRPO(Y;DEOepqRzqCTBJy1q zCOw_wm4W3zG>L$t;bPcMj3lTVxC-l}CXoUG2CuL~(ZR~gNPQ%w{>av#E46e?MWI%j zsQ#HyRuZxSgkv6$F6_cNZW!#wo4rzOO{7W*`M9l}m>9Fu3lvoHwx_bbMKRdM%OdlD zXk}RIH_z=p{NS;pP_Z}_WP*T@+@(#tJmaAc6&K`sM>}n!3*j1Bol*%=`o--Pglfd> z4C)WXLQ%=3qNQch3(8?}U$_#W?WmLhc(v{H3x;YpC%{Pkv3pB(n90l6GU6D_0!Ttu zfot?32AK|bEZ`tJutiKKV^7`W@Atk1CUL)xRwl4clLUswy&!4p0yF#HVrN%h5bFwM zj)~YHT>_&ol%3{N{j!O;C$NWGVvasa)S^dqATQpY#afHY+>y&Y?9UqY`~iHb-6~N~ z+I3aMy2AipSRDo`{E-qB$Gz90=!{)%4BrLKSGMT{kHmqDPyTHH3Cv;Yt%2w4L6m*4 zGwi{#MB)TC#|y3Z-=t3*v-1@pUxWtKj|i`kzO6w7M!#Kb)UMP2tef-Tlta`+Mi+kZ zb%9ziq?J&v`gA9ykxFczU%sZ!+|3Hi1qJ))1NJSM4L%Pb)V*RXZM6l-Iv-}A$NIny zJ77W|fQc@=qfuA*-uts46$gTK&lM8M`<`tv7caLK!!GeDGxrUng@=a;AED9C)X!r- zR|C@G&&?L~!QpW3mL9Ex&_C7+l5+j_nB*V?Jn6g+=-g3KNqW4a*ii9;6AfiMJ^c#z zwyawwKJ}$ScCWr%hjrdwH{YrtZWwQ|J)byfCv~}!eKbKzaO0RxqsC)I?Ml&4l&nU( zOm~zbhLJmM94kR>Eqg0HoN_c#@&MNH)Q2^4x3xER*S@a5+v7a0mi-r-AMjeoNaAr% zAtO1NJu*Vj30!_n`%_tbLP|Hz}v0@1$X*P89W3RD|(L@WLbQml=d(6N z9SbH0FASM|ec5pd+pyqIi+&Ea{gh{3zGpP5j~lepGnx=`0w{uEZ^$4q*Wynx9)C52 zBlViH)(tKY6D4mWXP4GsR$Pjw$X^1Z{cbN=8?MpOVqCBy3FqRu+deGa_|0AMDxebG zpS!bz9;(&10hL>v>uTAu7pSZD?cSJ zNpGk~*acoh6a${t{EY6=H}n1z!%qbjvY{p!!NGC}BsX_9O$reG8re9GJ3#^B95J>B zq=ZB2nH6j9*e6uuY)5aYlA{Nk*-a`fv)y{)vw^z&0V1WAs~j=pui$}eQyRHA$luez5GzlM zxKDo8X1zsvRg2;^+R`<$4~CMIu*CW(Q3gJwY5OKmL)IKFSA^22#95uN+^#hI>`JD? zM+bopKX$#EF_2&{;$m>Fq+e8|CXAJJqCUbLEV%bI1DvwMzWs)g2~EM554&=Gex&dW zvXYDgS-1sg=M#ElMk~Xl{Uymsk^CFV97n|9gt5*6C51COnzo%=OTxph-oQv)reju0?(Inx7yDE97uI9*`Jc6PVcYs(Gr@rExH84mq>(*{^lAOo3 zSl>=qqjeTZ1eBa#KB-a9RziAE1_6>5$Vlwt_zeh_*IXM|aRj^e8x%94!<6(gFpGmY zzgKWeo0%a9fUn_%B2BI0lUlksvwGQ}C#4@n_bX1I{%%cvWy!Q;koGjnVLZ$o;o?8o z$9nmiThf|FU|AO$JY*#8}K(_i7JpKFnSE9wm@N^vstPW{8V=Pc7Lz z(FcLRzp|BJTt!tyF9?dd{1ecdz^>H-3k=B~uc!bpF@}bxK1igFX!FULd~*LjvV4CX zr}l2Clj|G)TN4nGWAM`G>~cLDCvFG7w{AKbtZNWg*Fj4uqRP(!#i`>KMOHkyrD9qk z+(~xB^k-Jb$U2?;nD8TtO(p z)d3c=<*$>7?MgW5$FAT!n)*|z2ZM_d5v!O3UF9P0;f+N9(zN9NmT_&Nh+Z-%NI?of zl9+n8eN+A_N`n~1kA>uC@O|J*w7z;+19#%`YRv6@T%plqk35W^{O=uYrgq}Ws&jCSRIdCfYhokmbC zX=~lwa&W2hrR|Jpp$w$K^gBOi@@nB?{`85Ccx^at2b#<2ZI<@;+|FQz2YSU{Z)xi6(3-pVeX;(cLv~$urC*0vPql^=mp${e&hrA#Wji`7-R`5?42@H z?m7xVQTseQHd+PtPr;C{>-A>OuK4DBojLkgw`776{>_1PCC2d*|C{>OKkd3qwD5qB zDZ$}`8N!_5*lc-H9s#IJMuEiST~AWg#`?<-R;K}^`Y6Q9ddmQAle<5H0gvQcecQp9 zKb~H0`0p~goWZDBhly814Y}MuxG#3D@Psez*{>I2cJzF1!>YYjBKkmfCxyB)@ z>AY6f1Ha=}+Jo@lUjy<9wQf%WdW>DzvuXR=^hzK+f=|v6c!z9|%o<(84~VC%tc4OP zKFR`fWjUq*vs(K2Eul}%z#(Lfi8WG3r%DBl`Gmuu#P*Y$8A8;>BQ1~P$M7lwz^8C& zyk7z*LFAR=N_-51Q&gUW{TklSUs9lhAI|&5<$VlAkSWE}0Lm8~0;qKbRXW5Kk3+FH zlA4wlTF6IPIr0-lKM_2s|4hy6(ZHBn4kGKo}m^5ZkVHW{&8O?lxQT)IA;W8%V#7@=8hSP zI*d7%sdw#vI@Xx%yx>+FbVU!}q(gBCS{>;x*7!*;WQ@i3{MQ2?e)wE-kD!C8xw0gD zXi%xKuK6O}|BnTTNK>3`rzK&yeZ3v^%N@akFNf~%2*d{XD}K%h^U6-!+bq`8TlL=@jcaEi%@MLqc?8#)8emT+ZR;C%?QvVQnEt7{qfO;yD4`;qn?=A8UZ zQo`zLX_O3{zEUlbyr4;p5*7tF1F^O>H%vO}m{Ow}IxYwGjUt5j5H3ehVN7`WegR8$ zrHi1TiLUhcr3JNCrxyME$75BVY4v9T~=9i1>`;irrsB(!q;G7Mu{dYdk0&$viY_C{<;5}9s&-~Be zd~(k#33r1I8aua4y|ELI3P0Z8d*T$|rV^!D04m(Db&crd(wa@5$hjVxUM1O^d z+dPifqRQym-CtZYvi!-ktI#HKshr)vJ9gaIxeG}Y7Uj?YkrS9|Rw6c-5&?%OvwRjw zZPwsq{+)>g`v~|x40fp^_>=<$hRRwDfW`*k1eanNHo`WL9sg=$qn}WON_w6E14~kF z43Da?TZlV3qun==T}ZAft7;7t5hMC~RRn(qlG$EH!kQ2WvEJjB;dOtxbVxeFQ%QDC z$)zj9__^@#SKOO)%;;P%n!Id@uY-cnQx18tYoKG`0-o0dioGZzQmSAxwT2(<<8|() zhj~@l<`m`-(k>6NEAU%b$B9=jIQXZfWrtC1B*k%pe=oaWh5AH4dRBIPRQWJ0 zGmKj*DY@9kLHm=Y$1~ft`OhCqEd68z#Nuf11*@~jSYsg#XEx@}O9KpuwVxBVQ@YIU zA?Jx1X}*L9t1|q1sJYCJbOd5GkpS`$onI?xi-oHE0)s(=so;mcxVI}>$=&!^jj;qr zZ-me5+lG^`7Mt2gy?Ol)kcix;`oRyn6z3t8Mdnt$@v_m>7i<#`-j1k547SuZzK{l&)(;uj4U)%nz?icF)f}S21c1a zRV!Mg^M6*xhH*$434J7pKErkKTTK`gCY^r-B@m=Lk^+zh8`O_$chlj1w6aiD{~U7( zJ!JAYM=CoO@f|+rh5X=pSf3woriHj`|RvF)}tyu@!Jz%jCsfd%l~BG_iGCP5B={| z5H3e11OYQmO@tI6TdSSoUl0g{=6#he_Q^DKLEoyVdh8;%%g=s1_GTB9M7W`wdQto+ zfY#HIZzKi5PTSrwP6lsIy#m>V@!Gt1;+mC>t1y(R6#V^q{R=yQ%-tTIwd~1kz=lxq zmzlR(Yl0J&ntAIizu<#11WX;cnd{q+Zo-6|;L5qX5>(a-M>fBA@gk2qkE7EeoM6|p z;sx+gm(+LhENG|zn2()ri~P8*@-2!Zd-W4sVRM3m2E0qRJvw}lOC0PIW&S3NFnPJR z_&87xPYwTdLUB%1CbA;FT!r1&P#?5dtJ{O@e}BZ#uM7rnq86Xy1-IlO6Ce#tUd)6d zbVHf2=Wuqvv~9tL#Y53+`I@$n+fZ(Af-vS~J`nlv%C!1* zhrF;yK|5tq5*Yse*La(a&3vylkT|o>ujJvaN`-mdbGbjbNcx-1il-UJ2~%Yi`pgQH zY%v=P9wpHN?Qui`Me^q*zDW?0@oCCS3bbxieJ?lY4E{aoy?2OLFWMU+>yN&6)>)oV z0NJyi-d#YU=U~T>v!aQeSOyHJBV?Tv7s-llR7`djDUkui-A5b05J4QWrQPrjKqu$ozCeFcGJBmh!c=mR$U@-PY!)=u}MjJ}zd) z#ZbTK=l!cnedU@~Ts&JKIcUx{t`2+QD@m3)Ry2D2D|AW7pOkX7EACpaVSJd z;K94|FMYJd2s-O6o;KHQ)JmL9d9b~PGUd@PH6j3&D=tFUS+lb_zskk(d?K$&17$3q z(AUp&2tFLNt;T0cv$_?otW#8T6_EChmC!`f!kK&d!8& z0d$E$WZy9XgXZwlI_v5Go~Sd=2%{G^;NRx3{#*N|Ko4kmxw>AZr_C%M`@5EtZap5W z4nn8;Kac#}^IcqEShc`5XJDIu_7jP?>znKJIa(vs)r9&Y<^~P7G*)@fmr%S9veEmR zuAAq3BNaF=QVHh>S8+|BK=5ODWc^`h@gA7aTowK)0IB2!i&v-4#Qa>a*65KbhJ-&f znwrhb;Q-ghC~>G;FK%e$H(m5$1d9QG63t#1Lhu4cP$@=&@V_%$g?ccEeI9u>_B{cq zSt;KZphqBI9K7(ELrnIlR7?+NNpl0Bh$3zYchwlw2?vt#S$J@%t57c)-H_zcmW=X( ziBp&W$Tr_(%9P4d6v1~smo zyI`bH_pyFNC23yOAtvm%TGShzvn{RH2EBam4{lt~DFh~9Kq*0h8!=+?p)J6K0njftZCU`Olbs+-YnC7YqvP}1}q`CGe8 z$~XP;MY8o>iWVsU;$F9Y-IQQD*jU6q$?h;7TtOTqtr0~xnvm&-9Nj>Vp*lg4lpFHr zV>5iY(;0JA`M0@?T6S%>KyxY2m|sQkXq@U6K}-26v5WJEh{hdI0snuh^gl77X{VupY`!wRyyFNlf*fxsS^1a znYzTT8U|PunXvk}sm<1x>8sbOeiQeds2&FbsKHRkcnKAKezMm1wIlLGisRLXyTo>m zlp2e2ha+2N>?R>ML)^!VKtq*$cmk#DdiVWlYy0W+kmKP1Zle3&lwr5>#$AKAKW6q4 zeuLXJ-R65|D|^6K_@=|$zGF6jtjvlJjV^~{$ari_xL9mjolnjg_dHWf21K7oEczRK zWkf?!DwoF!F;I?36if-IBH0tDIvBgIp0B^X8c`sIB6P9jW1pBbD27{f7(!7_OYYb> znF?vMiJ>r@Uu65pet7jHks#_g4I=Wb4P_I);H+>-ymA4f51A>KP568D#55Yr_YoFe zGR+-X*@hAx-;GZqs`y#I8xnZki9O&h;)YN&b*wG3&p5PTID9GiJ0(oA8D|ePTi_>UyAN8ztVU8|l$vpr&=KQ35z#fRSc!N&_aL-0_g(JsG|J zX_IFGg;rMGZB*dH^eH&l&o!PF05qX8`XIg80cVlcSG1J(W zJvF9tHbL8$1!g)`^8VQ-xx~0Nd27Uo22$*-FH+{^p*bQKveLKySiy@7$w~)_08LNk z!J{y~rq3s9wI83`$vF&j#B`Uf%PTdLZenfcd}WH}x*2f_Zz8@2jvfk(`f*r{*4frE zVw=Z0W1Ij?2o%*u1(cKhlSa97zk5w+jFRW}YRwcZUEA=|Vhlk@;+@VIied0Q@8TOj z&L9a{#l+8Z1d#k7W&S?oZdfKdWunE;ye1o~s|oo+p!>;?TS+4h)6c)(l@pc`9VKW7 z@@q*UJOo6hDPNhcfgwfVE5VFDh#OHw-0`vG=w$;XYxlI)s;Tw#J8~(z?k8r&Rxx;^ z0aHTziV?#INi1Cm^cDsp#hrha26T^@4%OU%2WQyIbj7QK!(TuvN3_iW7=gYNMNscL zEWn&p*Z5!Zx02aX6WbyhhCIBs~P{{NEC(|2C(C|c5ZM}0Dy!Pi^5S0}J zZFq$>Z>nab=%(Iuw!~|igIn79d|`NewVEyp+q_AKCr`&}jYb9*`4Y&)q7$X2cek|WtD1b66Mk}k3yV0qgS4?{+yS|p7 zVV<`3HHKQ_{;3g?Z{fm3OAfOryUu+CP-bh;OTDJkTb#w0xX ze5}OA4kkL-mSzC0d6)Cf1)jBfsJnf@`Jd(2zv|{noRQ=r;)_+_?A0~r@@b1YYzoN1 zC0MJamC^)2uPo{8qYcpdzNfi^e8|Wpd5KGkIi*E(C&Gj*&aC+T4;&4($;2*l&Q?J5 z&!R8xxn;@?3BxgnY9APZ8N84AF)q-QsTs=>tQQ7^v~&LI&~^~*{^ESoVT`}xB#mTC zQ;t%oR(kxrXd{&Ks=pVm_FbUfwdBV0S5aS6FS=5fG@32BmRO@1X#P0Oxe5#Vc2Td& zw$1RIQYAGoZH|0Pe1;oc%TWKC&BTnohoxx)w&OvpM6$MGZ)w|9J1PQF~>hT zYZs6ihYp)DYl<|xF?U%iwd2gea zyW1<+{BM5+NM08-oUxE>m^C>l2CJ?Ymyrh(@?krFU71X6OSKM$o?t-RG)(%gzA>sa z5{xiKf9Z5B;iwzgWQmJ*+O0}PaS}>A0=X@Cm0M}Z-T}xXKKL0Ui>4xXvvtOoPow*4 zec@*&wbRxqv7b1yvBvpScY;^WMTmt(_-Lx0NGh(o4*7Bc|Et{PWSzAs!r;7P7p52)-m^LgZ{dl0siDy!n+!lj9)bEO09ZPWP)L1L!eL7B9YL> zj?Y#7`ky75W`ppe`vkv&?h~om<4J-Of31IZ_@uKNImr2Tpgxk$U|Bpb{}LJqFtB|iNA_)n>MyZ(^#qH#y(O_e(;CD6H-ZeZ(V=5%{>KRy zrCk27Fl@;MFeOhykY$*S`v+KY67rvsW9|0PkitRwIJ)TXuwae|z-5c37Z*wC>&9x5 zi{cd7dyt1ynUGPmp#~$aAbc&;R%Cpg&7J3{fflU4^U7`m; zr@^TSFtluGxv9xHjyy6~v0uIfJl8yoKL{HZzWq2U-u9<{m+f_wO3y^qm9R@TlGdJZvuk{58r&du2RKD zrk-%C4Fh36rW4I$}pirFAmUy`UP#fC~F zAQ8`3)NO{CRp{-veVNtVR#a|AP%k@ZetCcOV@-!HcVpGOQVIj@Wa;Z)2 zLrI!R*-fzOHp~J|o^l+QLPI&&LbJXS^;faw0$d%#C7h1SdbDwAK>6_}0Mpv11zr*? zBx)&fJw#O-WVMlW4i!{%1{T#h0dwf@7WSC66O@1F7ydwBGu#_1`i$DEj5vHw<{K4NXmNYG}$;D?yid zJDoBV<6?{dAB!RIz)2&Gv^*Lc`V zj{z<17?4#R4Kyxfgi=W}{UKuK}wy@)>Ii~WH!QBE=sgINO2A9!gbLDvE3 zi9iYw2I?%qu=DPV_Pq}<<;{|Xy~dcB>gIFmV{u#lTOZhfPS8r#C;j|C`*ZWEdrd#;|uT%IG4b9{?8WTi8S(qRsz|bM+C)<_znj9T@nB*+dyOaefcp91Qe9o`C=y z`s`sAg#}tcTEnza)QRx#f%lujvPn$6moKuLo|aZxe^Rv;H{9Jk@6>6sC+)4q$UaVH z=KKNM^w&3sfW4OfD8e-V1e%(fgr`O}Qn2jZAvfZ~{MqDjfbC49mAY3$u(n<&O{d1;P=Aw+9>~HdfF~P=NA2uWD;fI?ZVX6g>0I0wcvg_0oQK0dBe+sb_Bf1-_!kj=cwR8D9eeNakMamc&W7=w|L)!pWM>B--0*Y=mN(#nf0e^v3~~rlYv=6L z$?BA&Q97{I35J!|!=ji8cN)W4@~bG|YA&mn3dAAV#AurYM_XsCoqsB~jEaVnE{q~%; zmp567Od!J|k~CaZR*r?{Y*aAPqI$kY+ixq_E~5o*)ct+Sy)9q#U(hmd9>d53w*gG> zfB-khQy8st8e#gD+aNU5dDyJ}o6G_;iZj0nN_f5i$qW{fAbmS}W6(H;PL1q&g8ag8 zr@!^Cr(Pv-oR5mTZq_`~I|`f0?cLH&X4b%g(>rgqBoLssu_=2Z_DW9>Pj0?525`MWobIYP3n z`yLuXTwR&aat(g|L~uwvI>7zIDjdiid=1j^LVRav&hJ8 zh;XqkvGdom`aS(!QiVMdv2Pjf#SA5U8!>X~74yWd;)y%fl!h8nxRs)f1~>$lVV>g_pNbQ)c=Ygz5BgP;vHA53$x(N@)MZn_kC5qqGG6BKYi+NsFbj zu+rbzRDbHwE=m7j#jf)W^gCr9CQAXjRr4~r=UI5x7xpKf3zjd9A+WGeqXrs1Z)r<*=)@FPfsiYkW6Y+VJ3FIDDx!ZLI> z)q(XZdIeGJHVHT8GcVolCjwSX|K&==a!Lt^t^n%ZZ*C(Ra>Pgs;#juSq^_wILn>t3 zn4vE^`9j+Tc31`(P>CxAco|T|F%r;kU*(6~ANcky8q?<&78+chi*Db(Ba*y#id)<_ zz2+&X&bEv&$eR@ZNQStPI+x3f4tf0|3%4mi|6Jhisg6KLt!_}GY5alOO4moGOeiLfW19xgF0|xHGO$mYk=)|4f z%OHZ2V%Hk9vTrtp!(v7Em5b%ZdwgMoF+nMsd=zi1*on>@XL7t|?BbHP^aQbCX z+#-vl84YH(MQ{2u3tl1i(Jrl#qeBzbX zfIMDLvG7Y~&WaisD^qg*<%FvQ>#jfrZpjKWgH)W8Q1GGxr<)#&CapeHsmii7#A2b1 zHllJ>f|F!+xb9%Az{6Rq>X8;RXRmw_BO@#1#_9bFRQMU{Y74Uz3*4T0zmod_4u?R6 zMMa4I*Wbk%Kth9>mDrd#t+T&L?iqyJ<8ow2~oQSE^>juxomLu~r1TvHR0qU*?OdT?X;)*=y@D zp!gq=bt|7>`?Vke$>wI7IEQf_@EBmxI?tggK{d-)xzG7Ko~*#_6z?}W`GD6W#t3Az z9v3+(@b&Zxj4m~9wbQ^X9Y;32N}rd%I)y5)xdZ^?!?uQpoIR}5dj)ntW%3C57foY2 z+ke;R7&bcKAlHzewd}cE))*abNCkC%aJ60}wbw4oem$Xs?2C+0GL2nK^^idP%hxwy z=RNtuDdX;w|8$aC+tHZ7ysQ`5*b9em>rKr0@-?t^w9J0YVRQKW@|E>#v>g8f_B%>M znXxRlXkw=R86wHa_?>_4iIW#grXL4vmg!y4RHc59I8PRKiUdKU;mSV6eyei^Hx5Hl0 z*Wk1q9civklsf{_bmJ&SObQGHDtZOyozJ7%xa_W=^_2MmTX6uFrKy~g!@SS<8c2?v zdHw^pxz%xZ&iurmNEjLuhCbP*spQK9lO^z^^i&c>b6%URYl7PDErwscKg#lBhIIF= zYbP+x!xA5$&;%=Qg*#UF?T|H_rWP(DEL4eDE=xN>NyJg1>6rE&t&R_@KIl|I;GSv|ycC-lW1was<6E$vXy458!GoaHI*@6cQfFX`3X{z zX_Ed$R`lBQuJT4&zeBbZo&l;CPrw*+n0+>_fr^ zU*LoFGHJ8a^L!ZAad&HW7+F1vTq3ux(Fd?a6shdvNcdtFuwu-RODhJs-BZS8_HGn# zkUv;7t;v`2B}_ULnR$qEG-Y$fV1bLm%qZc`n7=8bVbDPC2lr72&rzr`L|_6fzy-ky z(xV64@iG07c*!P47)EbtbAxvzn3b;CL11|sH%BmPi-_1CtqQfp17(UkfUZ`4rDHI( zK;pLm3=4`rH!J6n4X;FQEyZ144+mD>Kfyjn^-1TDz=U<1uS_62+}5G5H_F7HU`>jy z+4!lpBN>p^azf0)zl4bVJq6(t3FukLw|((0a;p)vnLq+eyfbaz_rfIcA>!=*9S**E z$02xU++G{~P`&oMW{zMqKk9=CCK*!|OqgjTdS^BTa(WOff!B@;0pQlwKf z-D>~}<`4#{Qzt9~N5q&(O_o`Tf277)%ckX54&af#UnR=QFO6wrUyCS(n>V`YrB}t9 zAZ!8pV?E+Q0-Y{zPt}H|%PhafzWWmFJQboW;Zw^U(#OME1wZv_6=9I{HAcVkm;>m^QrvH5W%w2BkGSMXdP8nff`tv0n?OTc591Vn`Z0sTig|2*ty z?0dpRLKw}Xk6Lm^ys(&b*LAe)K1pS$(XMiLm%F)Dea%DN3VeC)b-qGK>wcQ8%H~tR z;dixajS8Hp)I192L6H+Bp9G;t>a%WD>Wx*?Cm3xEJiSn_``sX9^u7SURiHKI>8A`r zB;EWFcOEH9dmeGD*hJ$Y__?XCS=KLq$JvR35$01QX{Uc%0fVjQe+sHpX3T+qvtRXH zaEepYm^Ud%$ho7L(4!mWo(Rq`#zo8Mwdk^cvX*ONuxe6Bj5HK+>&DF5IcNFs&TW^4 zvzV1*rJG_FEa~q=n?VR4T}({eEQ(tzSdI-Gq-AE{${6ZPCUTlP7Swd9AWYgZAB53h zk}pj?VqKkO#7lf{5|cVmeFHt6uU#oA_mjpCLPyM{84N!zu6jjU&F?b0!&H?k%#|fr z%_bPN6(9KN=?lDtXW9(Cd3}ZGsqpNw;XEP+y!1aCSbIf3RLz@vT#}K#XJ)=a8Uz`t zbfw=y(d+M~-vv0GdRE$w&CLFC8{=05#GUfUp@TWLI39|!D-HA&anTHg)%dClsITB{&B^2 zXnM+IZ-L{nh!SLu36d1$SCp~&RgAL)6sWbyim_JTVD_q3AI0t8Z6$CPBtrpQ&}KQs)znxOuGY(VY2K^qHV*ft%2Oh=aeTmiEP) zOvkHh$2E0LaenVFq1v8nOR~MT(2N9JAAuV`7$M&*F(|_?H;qSF=>eqrb*q2r^5E2% zmq`L2UfNs9BAxl-p>iNWadgF}my&_!9}O8hXGK7Io2gIV&QvUx1p%9CGVhgguZ;tqdhn zh-R6{#ZnjPBs)&s+D-!ICt=pFTZiuaB;{#}3}OK>b9bj$L7xpv?7wmYadTf ze7*2At*#x=H7fOYV4OUZx*CAH?Y<}SQx$d%L)N-*nn;&wEq6e24Uwy6a9W`b-=6glG54nN4NBr-8Cz zn*%+3f$?Im)P65zy>VX~Pz@-5U))l9+zL!|KZ)&(t*eU9b1zggB4@foKWpV{rp^By zWb5Yic3n2ErcUliPza(0^2Zfauu(x(vuG6eVJeGOrdTmkIulFi7ovFIMQQpxwK*66 z&$67yDX!EN$}nr9Q(IFgj>PSD9Y~16c&7_Oj~2|W&(I>KpbsXRHsCw9$MdX4mf%aJ zQdo!)k{ni(kC$L{V)d^gRE@B}(8m}eS@KZ1zNvNUZ*#$b*x8*-2o~`078bUdnYS!PR+Y{9-7V%%?abT1$e=`5kf_KnLA$i5E=INN1MT25 zM$(Uw82qr*Ad2R-ybhCYRI4|MP9vt=?P&*yL(0^Pf9EmSW2!UMTWIA)=f0l zK{Om1-zo7UwvL$2KT{$9;VAYa7i0a60s4zyKP3p(G%SZmGMFJ`9)FuS5HstU%Zu*s z=Q~1H5h>PB*?ICn&qtEj7M8qrMEd$h&VbesG6&WjWV}+>5O#!APt0 zC9~`ro|jT<#H6)$IS9Rw<2C;pxUWqzM}|U6*(ETcjDx;OY24FGChw%Em*XQ$99ANq zol;u7dE@f+;Jgp{edVA>_^d`kgKV0xXG};}p0VnAl+f&=pkM{;xG(lIT=S@k|CNq=^~~Ix~L* z`)B4P_Mv(ySBE%3NERGI3)BzgC>01$!2O&pK^S*zk{B_}AsWCKlq}CJiwX+872=7D zwx;KsF1C`09;U-{(&DJmE4iPrD&a?vw~1JqEVRB+`hu6H*UxFhHhF7kT(+N0CzE|k zz70gZMCgU0Bw|S_d?VTQGX#idYy=mW>GOXStjOhM18)&moC1m4TeoEY^}`Z;{8(nEX_-s^HC2alB7(wi?vB$lsi*dAZWhW+50&H;5StK;r5QDJC zVTKRq(NnH{8pqRVV5O-R@qA<|ZFRQPEJ_|y*9Bw!|EPM)pfiw`c#j>pqyB?#GPF@o`rcP75vL4rMSB2qe6@6xf<1-19wDjj`7jsMG+N zkC9{Qd}qL_coyPk*q5Q-myw1DJ|F%q;H8;eBp3DZ0$rtX@60-qqzNdyCo=qvg!BXT zeF)wjFgnCwr))TR6@GCRHG~x_>8lyCAkcBkgbW(u;#eOT6!Dswu(_Nc{F@uP@-Ws} zjnnevclmtnQRs|3%;3rI5YVfwI zbAMA9&Hi1hO6MzD_>W&dniR?iZW6g{IX~7?XhP0`oSYV&dMqMw>jSo|d!=oKtR}s~ zWy{;J@vmw3UtOh@hR57irx{_sxc}3CQ$YbP0YNEaErW&biN@g*>~|g?m-bO~s#5SLx_; z$oX~gpi~fgDHYT%0mCQt5zG-0Mv|mj>B|2ri#|()fZ1}ZFF0iUJywF~>`9`hN$Ljo zUejD$h|uf)+fRt(VA36}2XOte|NLE$?xCw*S6nSDLE1|7pXc6&Ct@1chVa#HoMCl! zpN_u$qvm1+_Tlr&B1VS?=6M8iODtK400uWnuTTcO-~&KIGvQ$If!pDnq-m9Mu)5Xf z%-k}gNUT2T0*V{wE9fc}ZBXdCE;p$$NQaw*9!tF2I#r+=+<7;uKy%F8%7@I(hp}2d z9VGD~jPPhmBB7|f(G>9WZx$oxZA570i@trnaBC7!laO*d5v@xryFyv77wVM~^F(iDV`UIcLyf|Jc57l~%|7-k|4 z109i|^oI$b8SE7)9*v+V`A6{{DPjJoz+GQf&lsk^@pZL1zzO*>W>)qlKr^zGK8hfE zhxSa{P>w@90j_ig0a6}p7ESupRXan-(T~Qyuhx+H#b9@G8e^<*h@F*Y_j2~s>F0Y`3c!VCvr4lEir+~%@QD_l%=*WeyNh8Q=jD`xiq=J#pIMO!^IFbS-|M&E^A45~`d!^dZyS5%46qe&zjJw%;s zs&fz#cuZ81t}^lvH*+20FTdyP)vcamC4BNKa8@;oc>2177BQUdCtNX#l-af`rHR=T zWqn z-X)m%Ko0rdEj&T>%Qt(T$P<~fcJ~_tgGglg^urfyTpzN3OLH;(h&3te5F!!-5R4KK zxy8zj*DoON6_~14#GCEe4@YB~Z29up1`EfaVb%`@LMOA8$Re{P$Hl5yb({<3Swwm; z^C$mu(){eLW|^-K4zd2StX95?DkkH`Cqb?z^32O2wM(o2J$+q2k`Jqvp=8j@8HK|} zW>~;Y(Ai`3!^lxl3LSJ7Zk{nI4}!RvqPzX^9ycc}_=z+(JS62jB$Ig*KOs zaQOqm3H0Cs+`E_qK*G;`xw@88qABym(uE_1FwzY2A_`9O#GY;bzpJonO_8`N4Rpjo zk>0WW4*wCo;gF*pv>3yJN!Wni*X=?&hU`@TR49ggvep%VY8&gg=%Ub;54f<_HDTdC zKt={l`7tlDku4lo%4E1}N&g)L<+*0;m!ljp{VQP4(lJ6*` z$r3`w-fzlf(}tk|ya6U22=0R2sEMp@Zi)|4-NJ8Y%?aN3x+*+q07%kU@9%vB)G$o1JIx#2Hn`1J zXofTTkCxxItqL#7LF`DV1E;yhnsEJ~57SWQah-}iDyze0EU^yWJ3!Tqj}-qLdrb;0 zkE5M*gWVkb-+(y&5(VSk+eJgW=@tXih7sQbK8>}Fp)H{Y#KU(!{{vxkRL0PV!B13Z zN5}kF_hkKyM@S*BshJrAv-*BSVnM!_onC0OC2?Fy#BvHSgf#B1gylj1|xlAn|-^*vq$FiTnpImga z#rWO8@kOF3&k-w(OQXho`ZW((HJXr)U#;tKuBFxBu;uD`M&0KhUsq_!>^+z^zfem% zYAI2MsiBddQ6M&JM;`R|W3^c<3hF?=qKd=-1^#LMu+&A)iJOK$zc0|o?%dtRlmEb4 zNMCB+nlWWeV$mC6I~z{fdLO00GDe>Bv~NhBA7oaZ8?_<`u_-Vc=63U~TeajNCa#y0 zlKQAIe$M98oe#rJqV5(?&-A9neKLRQ_Vau*%~@D%-?7rF z5IycrHfa`hS*c&@<3o!XTA)u5cRsX8cSrTcj4cc4z zY$NalKvjPOOxN*5=e!X?D<)(X8)DY*18L++S}la^rs0Py&o>xx28lpp#|*P&zJXI8 zcj+E9Oe~so^DW-BcpCUU-g2f!M)p5rqFZ~VkbI0m0-0J=DMEZccaN_aGD5{?`_kA7 z!96GyfuY>A*}8U-X>*{xpYHV4{aAK*Nr4bEHB0YX)#Fbg!!%Y`llPVBFyp6<51kM* z8?+umsss>`V%1bzN09IhO+;TFL!i0ncbc2vV&3+R`iK1(Wty)hGT}qkH;f+{@&|Bf zfYtUL&U8QJDbhp(2aaD>?4*ZCX|~6iA`fX;y#>Ltwue#3!xZGc6KsyT4<9qcZV1Vn zEJa!nLt+(Gl0J#|`2@8vWtz!+rR>1BcvK6C#phTiKS4t^!t11y-E0?Q`?Zac(>^zL zUdZX(g3Knp23)9_;f%}lW(z~r>k^QC-i-ll7t9rtRH?{g)9+qN1M; z@!G^#BoZF5C&N|B5rGfnp`e)80b%1eAH9I1T=<_AWTY6>w=OAhD`XaLsdBFRpOpH-6a6kZk3zkt(5-=1~<5YnqkDhCir*S`iM% z_4iT6MgbG`h1ekBvyta<_5{sSE4N9@Y|0Iiu{mfY4?vw${{a6c4SpgD=(s%o=+61U|HzQi9oGFQzaMm~};u zdSSiRyV2o-kX~ZC1E$owVAT21pg6%saP!>XsdXLdVbLz1ps>oRTP_SonlksuX}u`D zOgMHL@Qs`dlJ8**HCk90Ary;2HcY6`;HHf+FJSyXUVtJUZ0y7L<(v?29}?@D?%19A zikm1a+@d(azNea3BB)kobeQ7bT0nRL)pw1d6%-mW(erc`Hey?%C~KDRt3A zb}t>&@q4WbA}1Z1#m^r4(@GefLoz(~{rdyne&W5`!rBf-n0=OkdF^qCq755C|0SVsa54~sBonz zmtAEd9^S96y6Dwo|2Q7H>i6mY&FfHEH=kaIv{Osg;t6Z@n=1$RErox$& zk_{=|C-|hhuMi^DYoO#Tt$He6UnDh|)I-xE#!DS}khvGpL_|dAx-FU(Dryg1&QvSB zqPO5Hhr2$x-xvMT$ zRg$fNZtmWR-*g(?&jN5ybWl5HctV;w2A`9j=lM>2!yjNSFOtgeK9ipSHAPxs>R>1Q zQc4lV^j8}+R1SGp;*it(j2+T&KhR138UK#$p&=dz5 z;E$NA2AqY3V^|Su&wjNeisNGBU3Gn-68X0QAyV%M4hXe+^WpCBo)I^D!=>kNtFv` zT;7g44;d4Cc9b1ItV7LHWbu>pPZEc6Tq5f~RGo7YY4CyVm66a73KS5AR6cAC*~8wy zlRHH!0Ry_Qds^*bUMFExKS&E&1d|-saq`Ei((DLv2=3O~%4QvdLj(lRZMn>jUahW3xd=caL_4s7D323|D zl5T!sRFnr+dk$6=1YOxZqqO!_`rwaz{^cGrtt0G!aOh2hL;~a&gLLMsd~BDug_VP$ z+n^UQJ;mF(WIQ*L=T+mp0?Bq(7n1>rbFdz^Z7!XM@HAVJ0g}F-^E|bKZ zo2|DM@?!$9X&3SDk$ar6929^PhCO67Bg&{Sy>Pk}zrPq5lZGn*VwtHDUi#aq6S$u) z!9yysbbqR5UJDZnPIL|62>e2y3fUdFW0kAQt+2Mzb#h;0voO!~wl^A*^IRM;uLYb^fGZ$3Wjz#!=!;tk2Zl~`$s`on}9kA zno7Oq-ljh}lyZak{iCgvMVR7P5~K7eDcR0Q3xM9=dJl5KF6J0i*a=mF3xdRuY|uYdRD zEz8BHc^IPluZ$#OVoNVsnGlX^>!2w0^KiMADDuPt&;x}ZdJClZHvOY5Tv_ZN81pf&7V>Pg3_KhAW7@1h% z9QeHu+I+U%zC&zw{D;`ASTzs!G9$WbnB{iz!+VvI!X!cJ$3GLx6@m+EKN68Bq6)Fc zs{kU~z{AAsqKP5!pM%#1d^?g9Cw9}d)?yz!;EYb)h`N_Q25!^E>ML(|{9URJYT*;G zbR<{Nbs*rd2xV@`xniwfMta(oZnsd89CU3X2YHoV(K4!(S`FmFnbt{xcplM(CL4hcfZwIds(@4_+xQ;@#wQ&RkWejszVJP z8qRp8h2@J$)M9k?x2a(L!cPPaef()I9~kxb!wl~>d?<&zaPdaCF-hle{Y@zB2g~~lbKTsz12smLFa>Xbg%6r> ziJpX?c^O&NPmQ*f`8(C$o=_}H-N_oa_uG~K;qo4XR3PSxJq7Ia0^^gHSA4+ShZz(i z^-iIfCcN${5i@SNkCcxR>m3oBE*D8`^@y01c8!ZQp^Vxy0Sn+oF5~2jz*|>bv4TR8c)JYqsD;mb>-@J^{qHJeM~tIfykpb-;w zWSKff$hz2YAI=r{NXjBy-^eg+H|01%SMF-N++!W2c4SF8R1&bp_F74^L*_wB(m!Aa zWS+L$D1Fdt5p+3*Y@qPC)ck;G;7pL1C5Y?dRkTMWK}AHfWz!Y3265lPMTIfcSeROf5lpr+R`v|qEnx<# zLklYosK1dBOqUZ{#-kYe;n4_h`7DgSF!?{0-DbzoUC|JKFgH39B_T={39Xr&*`5H( zQUn}gK2RGYeUPQ%HH>&r^E znX1E4G>8f#!)EzXIVq6xIe&udtJE#Fwl{QjCw6QNgG^acaGkp1uZz`E zr}DQpM{S$ zVfMw~3{DN5Aa!3vc+jSYD#+u%%Sq5p4bBK{N*Dh99Z^T!OsRX2Dbn@}VHd(Dd@%Z> zt@cb+k_;+t4)ti^h6^b$vsM8v{^N}by%c3@{J1N4plW86IJ<5M;a=7N3g9v%2)YQe z1w!ju3HjgI-#;waect+;A=K09UQO9N&uH8#HxK!v1(VhUw_qnQ(0^Z3U~dALWf2Nm zj+)$k2r<_dIxQT z#z;_iSQ^O2#DD$GwH7E%@IB3t}p~pz5B9QtD!rq$6M|Q~n{x8?B(G8*Os* z$I?sHW;yxE@g1i!w1Ko=M^|F&;vL3~%2=bl6#|9m|5>9p<@4hIM8{q`>((4E+ zoYWPm21l%KXhoY#!3(~tNYiGlpBXff)4)z0G-wiK$o&xHW24Gr`Vts3OoV_s=U32H z&Jp*8sgQgqh7)y!|1TIYdm7kpM}4X?;M+oYY-nI=9W}6Y>$=k1xh04D#E3^si5NPx zlqC~FqGFCXmVal0h#d-_K1?3VW3>@$mGmS>OHGL%yAUaPWZ(LM1nr5xUBhwJQ5^Lm ztS#pFOGWF&<>Q}N7RJk7Ri@vpBC{rZm#vkNFXIRAf(ANbS69a2r$Ok2{WFF@@Y%Vl zk06nDr(U4Ho129$)Q9~jDndq#TW*??ZJ?N);lrddjMoHBGiR2dnsYm94Cej!IK=&N z-Z!>pd5x>JMfXt;vdI%G7owvgUAEr;O%VN|r2#gn?L#p`v&igT>*y{5x%=&#VO%L2 zv@mXVtwWQup>VQcIn?^f&kn2r*VD*Yf*n45bP^|&eBT>KrbO)2k-F$znjk%%@;U>)zbGo?H#PSe@_<)GS9MD*R_e zTI&A)cfKxGb@UR%3f>Yy?H_9`FMJ*^N6mK+E+0ncPagL8-a(^H+8%erH5Ulq#an%8 zN+m3})Q zxl?tS`g)z%fLvJ}Pf{XA*AlKtOmL1`egRh-F{gzp<7H3s_2Xy27pxwmk^#_eBF;Os z=n=%%@r7Ix;N(W zB;LGje%P`YeAx2IuZ)7K{nwt2_m}!H2BY>R&Eh1*ee%R=sW^6FQ(^+&*tdxhrS3|C z#+-S!DussGv2DEglpR1X3=h=rW%YT1Z!O=qV-NDfOL`|gJ3lqGGgf`Q$xu5okwi(U zVdRm4gPy8NG$ycVTqIu1L>VFsWAU{_dTYH^s{4W%+S;-Xov~6hVvBRgy`1He4KGC> zJ9>n#WRJ1+gTNg}3d`LR@!W~9mJiVW!J);_>)G%Qy?3rFnvH{CO7Zu{_*GiEw3{Ja z9OW_H*qki&qD-lff)w%PEJ5ydKW+iamRBX{iwDtuq!lZq=ME&EFbw`{(N${^Qpofy z3gAb|l$e0p;7>sGC;Dgmb>I+X0HQt4Qk#6>>C+e9YFN6}<}_8+OoO{4z74K& zcXDOBo_k;DLR@?94j3oLa8PF<#&~7}djuFnDa*7;@bJ6vqoFz(AQFT!;B8_~dZA%L zELGEK*UGc=ei=103c$i4m~K}7bn92jV_iW|pG}>yTem9Aprabfq>0zd?<$C59sbx8 zF+&vJ0aGYQi&0#QqOp(nyahvL9xz=4$Rnii2(FGIiTWO>AbRo5sL>6_(u z`wqYDrMoU&DnO0uJnB%CIFD{$x5dp(zxy-sE0&z3WLx?N`-W8vLSk_f8;pVyI@ZS- z61Ed${)e~W|7-P;t2jjXban{1h=I95jx6hyP+#josQ6Dw}%CTE~gLip3LH_rTs9WDoUt&eIByzom$c@TzDk_Yx$*HA6okL7P4+sU5-j-b zaw&FEo5>vWUSD)Y&HQF0YuRl{bfRj=3Q@JBjwa8oA0_FiqtB!kyUY>2x5YM8&~|QBkCTS(&Cd24M^&wARMzgW!bL9dCai? zJzpnDYCq@KFE3IxM1WszfH& z#*J)bdeZ)KE$RAXfyh%j^_4?r%uHB@)So+f{G#O5JUnjLV*@eNA$`~}*OAFwqgr*- zFunj<#soQ}UavHiE57ywQlihlmL>H|HRsOhVM_P+H%@;0)^7aRk_`v3RJY@5A{Bn6 z{gGhXH=IHm`Oxw2nK&SeN{`;2}>Mf2~)3(oZ`9~XF^id^a9YNwz z&j&LPn%C5uq91DQLo!jvy0msai53bx+(n)5|_luoOB6 zHyw_}t0z3Kf#cGC3I61q`{PGIzNIn^{GqiQ_>eX>Vw+Gw0)TD|r90Jd53wf@N-+p>=i`s6D@+pl4 zAv(Jx$6gQdmz^RpNQgQQM&M)bmsp2w=LNQ-OqAG2V`5BS@$iKzv(a{+n`_Cktmn8f zr1&-7UW8U$EbgEJw&OxAJEss#n0kMLa9P-1!=t5HCOAId8yNA%L5FYB2t}maV?5kv zcFX=GdMaT?YouzvHx z=@bDEfS5V=?O*royYzcrP`A9iI(R-~knsjw_9(%@z9K!mAU%pswM?pfIA$kl-90W4 z9HEePhQkumgF0HH0rKcg;|m`QcCiDAC9{)_^RlT*l9UrCZp$|eHw~BaAJd{7{#^&Y zaq>!BA`R~qk|VbqGvA(dIl@f-COlFsjAie|gehBzVJ{ED9d@}&Ex60*`{i)GRCqO% zcjuq6wmIP4bKMMCgC!hC0K{TAyc`7NsY7~FAtX2$Wjs%%8Sf=`QNl2X9eg$bvzl^M zfQ8GSZ(k|erO$chQ2mmpDxzmVE{8a zJ9}V_OK)i5)$~8@P|$bRTe`|cY8&5;jsDc6*3B9iC)g74$=`vnpDu2vY>|2EA;kF- z&c_=SHVY-TiiDI~uXMih#RyYFH|hM7v2n}pXPnIokM3cUUK- z-CGM&izevp@V8+(s+(0welT9M3J;8_46?py3rl_yr)spf>X2+e8uo|wQ(Z=hWI;O~ z$7u)s=T$>ielWZ%>`WV0%&V|7%6-GS9aB%u!~$h^#XY z8odNLhXqYk$%fu}yZnqzX+JWnpMCh4eKmRhv4b@E<9nCt3l<+IK-t4q)hAk0(f*tc z#B(;QkjY8h=j=T4<}QRj8T4FR#UI$(6k^30H4}swzRfC69bG{nf-Jv3eBDo8+U%~AsAVY65^cQNv=Nkbt?YeNr>g%xp5q#tf!eZ>6 z&|n?;-L4fw;JC`~4nM9NW$F!$KN4TdI-s zAW_rpQUNr1{xJi~b>eZ8+}!i=HOjgzY;za-{>t-s<^7F{3MLbv0+<;BlT5CA0MXQB zVNlP^`H>}{XG`cM?9iR}ZJeFsH<0-}7u*HJpGr;MBu zW5?^gJP1Xr`-aH*wdr2hyD!1m7+76R@%yBy(k};syeRx>_am$hXJ?1lxPHPY-(M7< z#lN%;`;pO}a1d-d2)p^=%WI|iHz+gtpS~V2W8)?+Y36u5)*alHx7%_pwJFX#y#ZgS zJYl@Q;0`58w&y-|LzdP33^!Rfx34MrePFh?vBRUYhoHMAe!VTO$@{|KYL=@F&vh(> z^d~BxboF}QLIHZM!#+CHWD`NH&>1?ti@$XPcjtKy%`5Pg%QsFNz>uhvOV}N;75nfFw$kW*vxtah_ zZVLi|B}F&r=Xc?}AkJo&o~e)AvpSs37@Z_E6IYAX7+dGqby!Nd7X({Jbd=*vuwRG` zEM06mUwe8Ou*9-9Itvif3mTyL6P1k30To)%7Js0Yf>pp8Gt&>aUn4jXHsdE}G=350 zHz^@wQA+U>SZb<~V^upTvipzN!$D1q2<43X3$KM#!RqI9gSKwPlp1N^$Ko=U2Tf(^Z#g8D58XUL_E~k|hKyARu4xKA}Z98w{#s6WY!P4Ha?OK1OPny24alhj;CFmRSPg4@tz{3xlKEBQfag()Ea zA`-@DO9<;7aRF{AS)bPZbC^Qgz)cS9#4EPJmS!NdH9p(!-5nZ0X6Xj0<2iKS)&D6x zX9x@K&~*(f3!Y(tJ2Y@crNhBkRMCV@_}xof=R5+$}CQy2k9s zk%Sr1L7d@2l19nOLn`cX>=6JE@Cl!z#b+Qs9YCmSfYa;{f0)a-DS{QNjHQIpk=eIe z>`cu>c@|f7+B)BAK(E0@Dxd+bBUKw7%N?lUG7+6w;CTGCH!2pGx{lW9+PZR2h4JJF z>={7zs*@V@#;A403@8~Y#cehXChjKDBTU&R&V8M%!5%0xM=~Q7@P80SYL_V@KMMsT z%A?RV<^ljh!x2K-&Gde<3JFp3BRoW5LX)g1Rxm?Y5Q#7rvKN6K zV*+HeDxRK^Ac}$@%HZY(C$`f8;lTe%)n?5zTA}+^;D4<#omJQK<*NVX-^A-J_sul% z{nxJ%E)SJsK1~|j&Eq@ly_CHU2EGnhxeXYM2)jBON{8-Run|59NNvHvJV#}p4V7wi z_P@IrCfdcO`(0oKw1Gb@nx72xw>CqO>p-Q%SMsbMy1yP$t16|h8j|>s+TS>8oOAr@ zeGgb8iHYgYO)!wWFpkkFaXuJ66dfq>x#Q9ADSb*(WCuY-LyaP=*s4lnFZQ@W5{HX7 zyvSB6Kr1)h1o5|4UHyn8j0|)UzPaVSmBl%y<*4s)0_Zn4oJh@s|Z3p zWO{4YX%v8#H{k^lDAish8F}?YI8e)U)QBA+?NLU$=Pm+Mj z(m!Kt+DY!aXw<3E@U+$_jqm!R)NAOl{yBb!P}RtVn7?z& z3xt7A!vVp9TQlJdJfe?tNv^opzJLFK2ELPqyHiB6YbOPRpq>>79lS6BSk1Wp0bVi3 z0ylz#O;qUlkeXNWh(m;}mE`iY0g>qYe~{h2GvubZ3;y-aHr3j?lm_dw(20OMTCcjk z#3s}RW&Xc5D7}jV*nR*Gsp}ch?YAzniE&IEY#U0(|EX)LHFr$<7D&U{kJ?aAg2QXo z`-g8_8#eFTTDYT03YS;S@9KqIf3N;1ykL90OvhFOHw-|~H9b8`z<&o*Jn_ykL+oDr zaMWDuc9A8JWu;{+1%-S@Uhok`)=L@>z`$u_5V=3RaYGH2+n!I@q%MwPky%1NQadVv zC%oGdX2LgO6q?-vcRY<3v7XCWQR!pF8=KJ207@E0Ols92xJ0MeeDvRzJtOf3iJKU? z(HO))iUx6cW)jO??CUc)TpMm1AHMSPJY#hSAXivSw9hR9MBI1enSwwJ9h1rWPd3 zJ$%HoQ5U4ZtmW~GAmuxi2TZJ=RNiA-H=h9RvGL+vize|nmEuf{C_Z(|AH=I-VnpNs zaNgsC370ir<=!0#N3T78yl%yiv&cM z+Hig#V~15x5=XxM(J;7Ghi`DKsq!11zza>1HD+#z6iOnFd?cgF@Cd(o;%6cwM{BYI z%UBW=x%4YEb9Oki!8)|~ICzRWJU(L*WlPX=MnKynM4`5nFonKY=90`b30~UJhwf^t z_;{VA;AT_R@VAfpj@8f!NR}cTSxSi!=^=v&>bdpkpb)=YDcEIL&w2IBvXQ z%IY@-_8l_7`)pg|!h$IWfyD}awCLU6ay|?m9faKqX-nW^erGsFH4B(1Du>{myc$J5 zh4fcJ&@3aBh|^&~-=lSRmb7tKCetN`Nxn>@B?rS-q1*!9rEl1UwyqP!ly}4o_W6Vj zF~Ny2*DioZc!OtM3YW;O)GdY{J_PXz*j`79yN?uX)KHkJe`u-Y&-1CK_f!z79tH7a zhdZF6e!C}*71((Y$k6b+W{%g)+Yg3DtF;CNpnm}TafOGB0@d(J3s+#l>2XGJ{N}(( z8s97@;4(jkUkn9@clg$h-SY=N>G}0x93+HX?|>d8U27dm&zSv_81;eODt$_e8G69g z0bkV8smUtan9CWflS|GphM7h5$~5jF*^c*2dHNpO4HwhA(#}? zudEfTMj8^IRU6d`z|hvbELfS3fvIRj5%nq7(sYipr!9HB3#a%E{i3A(?Bmr8$8D<+ z_7L(HKvA4fXwqm84?k#g^oN6Ffy40bWpqq0V~XJsZ)eI_X#^7L>J~+2P|%c*pv5Eq z8KP9AgUh_0k>970JY1T7qY|wnj$6w4fKu%3j@Fgiw9cKB8OynXTo>PFY|Q3w&~Ta! z`=T5hsEuU*$(Kp5GiYAnJij(8P?IsQoY;Z;%%LsIp;ebakQbys5~kq;sLK-sg{~oW z-e4(KQEAW{l&bV0V|!437agq3)nTNrOBZI<9vIqn#i@s;{hPMr`x5Ybf}|!V^WP6G zNFi5JVh%03Svmhs@qUc|794w?+;OdwW+lqQ=;XIGb0;mFd+S&F8UPrdm^3?L_tC4Z z9aA!W=FvD)KlYrUfTxgfpZy7rMZvwix4JTKC9i|5jNdgfeyNsqecJjLMcU%AnkDb# zVSu#N;KT}+I|2_(XaTaG{kntkKH++1BL=bINyQi$Z^Z?KsTng-1W+TidAz9H{{Ut| z#W+qk(d{||?~LmG4$%CdOh_jhEJTUaK$LRjZCvhY)p$7jP%uAlu7$}>Mv0QDCS_sL z_)`!|6Ok?UaKvY38G`E84}c?Rjw({OGr79)`-27>#^@9(A0m7ZT-W7+OO{~Ds5C|F zsupSYyzS1}PM1ORx1I!%+Q0NnxWR04PTIdsEHveqRdVP6-`yccCqK}@QBiQG4s-fk z^Nd(!%Od4Gl2y7iGt&hwIyHJl|H?Js&Nqtg{~eUsyH3TSs#jCoFKCbW+_!_()eV`L zf4PKA`v}6Z=m>9azGPeq`~&rZsi||wkzl7-+gwpwoWq7#AWwsj|6KT?JrA|*P>7~l z^G1~1zdtzgXADLwt^aoH{W+V;in1xV{o<9+#1# z?;o^X#zK*z(>K)VUdQ&1hxJXpedVrPQ{2p$EG>pln#n&Dj6{dBm}zpMo^@}a1^l`qQ7KB7j0>feh`fp=y{)nxCALhQOB!bRw@^# zq6x@}MluY%%%IgODek!F7==0#9~v$?POY?uHpUp2qfj<8k#PMgbpD_ttlE;jL?S%? z6(*G$iF+8*Lm22~fP4Um(fL3S&tU6@K0XI>`dqfB{od6mO?CaW+9)@H(b+C4Dx00Z zi<=HZ;)gsQtZ<&q(~VkPj?9G*pSb)GY=F@esof(JJHTw;?Lx^LKDAIksZz)1S0?&e zkXb}{l*D*zDlkvbJ#a31wv*z~eSb!m-~D$1nP|iwNZTAy+_7ju3_Mn6e2Le^nr0N; zYHBxmk*B*{)*Hm+YW=`V`y~p_Md2q^SL7;9VhK6sAr29|D0a;7_SbKu?)(_%=!Co_ zKqr*T;X@ska}1rL9#66obh2~41lAtxzOB6|n8eY(IcI2@+H=E8SoI6{u_7F8A|A10 zaY3Yddq3^8w4pKgI(Up5;l7?QNgT}>WK1l7PAsQ!tnQlDuqI@n_n20)YsNP4R-26dP4Fd1yLMJy)|z(9k&EV#y5!*x`2& z;5;Qg;5$~xDNj0I$6aWsg+7nO?<%X1N~y?-Lg~I-{Gb#Y^uIshO?ISDtmlKM^Ax*? z4bz?9S^$1 z3^h@|z<^y2AXp#++Czu}j(m96TpoO%cAC>+p_8fL&^M`Ik|+=ylpK8eD2%AyVPB0Gr`FMZWRy@+`k)sk%c*Rz8j5RwB}U}Pw0z1As( zNmA|k3hO%@kiahdLa?uV#|+`E^&ynr%;$6#y!6s?pEi)#k3+>J6Qj5MvOgG#n{5BD zZj2#eNBNG^*7?$q;tFGb=odgeG8g}3Wdi{IfC9#RYJC7g6o9@EvaE@Hw`6Hh3L)#L zWR*Gq4AW*)1Smj6vSAl3L`ls-Jnw=BWg_hC^648}RWEHe%yr2GtdN|R*xG6Q3ppq4 zTa)Adcx-N#d~JJJdFYSW1C0f^V#m{^FD4f9HY8A?G2|=KiH$^keWhXXk3(%DL^F6; zqCr3>?^!w$Tzx4K6k39;IJL+L$6(1c#Z^Y1*`TcQB;N?D-?% zPfbnA+fawpNPN&Z4ocNo%7dL-C|S!^n<_D1opI!_B?u3XUL7aoZ79Ci%}w@&w34G& zIPRsv!g&8&*F@hJ_i<4_%=e6_{N$umoly}MXi-O?GAq7!su?_)`QON4i{fRCmIJ;A z&GkIOwFJ~mHk#QNri)cG=^$&!;I&tG#_O@H+k%C}u*LQ10tPkqTN!6DYEb>6jS*fXMjo42VN4Na#?C!hphv z-h)P~Pcaw4*#&N>2hb=D_lhn6SHu$9BP>*z7-Kak(yA!gq%1M-nn#2HBcK#4g=i?= zuh=r8U(@um5o!U?(ZW1V+UjxMc0=X|Uc*6B6yYP;Ail-svHFrerW1a8@~`qlL(Ys3 z{?i1hnt+8JIV{))nJS2u4T8v_)tE+$TQ+9Om|IcaOp5TaUh}u*GHryaD#43oiQeGr zfhebtNe?KuE2N(cuCV+jt?1+L?Ihelu6r3mNjvSlEruZ0y{&)KMEDUNCwSTJLRu= zt8W@8hPuK9$iZBfs!=lFe*IAIOQ@}Tm6;f%8c#s7Z;XBb6BJo>ozJs$tpuo0D+|6} zwJ&fwn1Jq<*H$%= zQN-X^!5Vd_(2GDbioPx)R~)KO__keb_R*iOCuYVBeIm z+D7?XlimMvV@-d+_y1A#)WEOE-wZf=G8PT}n4d3rGvnwMa^XgaXn? zOLuptbc2+Hbl2JM?>+CCIWy1xx3e|#+3UIQs{nL-*|@B2P}a7{^9?Pw<$G^K?|l_c zfs5y|(ITM%125Np3pFbMGtGhs(CJ{*HVTzKETte9M>PB$r+^?U+A3#k$|OO{ZdL(I z!bAFm=mmxnD~f|;n<)3aGDFN6ai$Ag|FrNMH(X{mfXu4pt^}TXTwoR!d!vKrvP@U4 z+nW<#%}D+0*l@M*7>Hbog8Q1zDQK6aqiP=5GL{c^dI3fMgV?1bzS9hz!_L5LzW{vC zF1Hx;k;Ujg4NQ*Uj&?b7T%{d;f3FE^ddDZl!h zEc=LA&&t{lD4?LoMG4U^PKA{WBS4mP0jg%7%$0@RfYFJe8iv6?Qi8w!kTc!VfN50q z=WfRhux07K$uazQ?_W&qI>Mf5gL)S)|FgdmyOv-SRB|UE*JCTC`Dplc8qMTHlb+dgnpA)LcHi8X29q)n*xQJ-!LJMkk(s z3pAc8PS7c&Olaz18mt*++hVZ+HJ6JP#L^SJLfqtGbT?8Fji;(!qI`X}71^qf%1_uF z546a0t%X)+%KmpCFJ%yxe=v-Xjq^1QPA*yA@&|QOb!@76LZrec%=QD<8#HxcWM@QD|Go@y>x!)&r*wYzTiZZ!zZ%;;bUsYC4HkZMrjQ% z$fBO35lhB&I-h}WDs)bjHYED3$ti38$);m-5T&D0`?>AWpY27`b)iz+`_dd6t#Ur@ zn40gN|6yd_(G$#Ziv9A)19&^54QNbUy-XJO{dzX zmDN9ghIpg{gM+=CtDOi+Slx{wJ|F$x(S#4m@UWLuU_eN@goC*(gkL<~PZAO@Lonb6 zR~Ni1!K;JO3bi5ei%b&ST0@_G@Awpx+38WSqUFDg`(&IWcLLB{Y2ZdPb@pyk{PDO96G0dqR>Q(SbU#~z@PDZ#MB0c!vi zp;NE3_3XyM1KIw?#HlJu`Rjvvshvb&gDSd7-t^w?nO2tgRE%|ASWP-$W?P3-$5pk8 zm3hm+_<2=0i7GneL#s<+G*iMy$+zqByCPGlKILB;9h$RQ&tl9D@ci)B2Oh%8e_-#p zlw!ip5PF|m1ysm#%~HvJpCjXa{J6*INKZZA7SDdLBg9_dpJ&@*VimMb!RiaTLT=Zx z!8Kh@JS~D2UXaoYtCgF{hpe;J`fQkaS8XKhPhRSg_a9yLN``Ryh~dp(hqg4w)%C?b zW6kJ4{0|)4@zC@t3E#9RAAXT;zE76GUD;`N;B3|_JRonz9y)Dj4x#c8fByA+87k;R zJGT%OafV>D>&{~4!J2Q(BR=o+UHU~E47$je9i31cv>nYbiCsum_Pz_ICp6OW5O>ZX z`?cwIgpQmqUUMzby9jiV*6v^bSZjZDl$L``7G5$ADFOj0ViJiR#W?}v*cP39Mk7TW zA?rXs=;+ViQ5>4W%;EG*=_*jCl%M=hZl+t?KDR8@`p*&6ln=U#clFSY)zlP#v6uH!%tz4Ha)~y(s2UsQ9mDR^Hyq0rvuxjszIzkxuu-tUzTPb#PmmL`F%_ zQZ3!+9%`W+5O+st?*BYECf72t9+x6q*F>f1NF46;S$=Pio;!TXpPd?f3 z+1l~fwtzfJM>D@$UX;AkTkev!rYQJ+0eWi7EsqKZKgc^`T;LB_?=tRs)ObywMz+}F zO8TsvBw$PFlf+6Gu*(YUSBT?^RqJHJ^nIxrOZeIx35145ujh1pR0TxdcA+ ziR1xmKUbd7oSWn+6iQDtOHz>PqqS&$GPnMz!7Np4&SkE-q<8x*+#&dVrTDHeeEG|2 zZ}b;?H`rS^;BMFbaefKwTMp7+yo35tD*Kzk&y$Nn^vMKt9*s1#65dRwP)+Mv9PMu( zutrLnmGEN-avs{tBcUVAVu&a;i6ttK7ak}u-`cR#uFgWucxWF)r{{<_fPPm%=391& zk;YwAKMLE+x38)kPP$Z*u|YMmTE8Hs)&fR5E+slf*lQJxWJy%!n;;_ZdS$j%<6-(F zVwr-Q3y2LmVg~ZuN-oV3E7k)2X*5fL&<3YcEGE_7%x2d7LclVVM>@16Eiocj#F*&o z`TPN!Z$@Hv^9(3gmVoA`uh;9l9!0dXodH}hop}3?^U-HnI^ZP?ZG30| zRn2E11VN_gnYKdEEshPzJc*M8IA$hyb`O% znl*F=h3jY56sqSoFB!@Z}`8`8OD;g4bN6v2@SQT8T1@>>T=8c zk_ZyJm0Ft_LdSNVvd?@{SUX2$nZEo$$@I~Xt5cE_u5yN?VEn}kk(ZuU2zV|e3*pBj zL;|hv!;5JS=nPisi7WidC6i-r*M*Ey_sm3#u{~g}DiS@bQszf75w`3t2vZu}hK*AH zz~yEWTp^41yK_`DxjyrU*ZGbU6%Ez0`-|g@>4!O~D-_6&Rp{+g2FrBafML`2Z-8O! zb}B5NlS9-jn-!j-zPx;&lK5h)!t%JXgYZLr3)7@S?^`tt@QuJo)HEwPr*=3`Na^Tb z3X?`HmFd^9fZOPalfbbWp@8rItSl_CuUSe|??PyqY&*u9-Z|SP5-socvS;J;eEMU> zU!Tb*ATN{KBLkAMONG>3=@%q-g0CmUc|#rxIib`)+P@fkL2S8Q>My^Z)!*-}n%i6Y z$t|+}vQje~Gh5$-T8cM^pZUAu28Le!nNk{CTl*c;PK)d2mi1GckuEHe(2NsK=ww=? zonwYgx>rxfw%Rfr+vPSxd_@R7>R*hHn7JQzf2!I5lAeV3^nPYztv;qcGvru>?0vv2 zoS7AkwYKiRvwP|Grc*ulMM)IwZQx!b$7hM_Xc`%7A1dCyfYh;^6vYlbW4Ri`5HTUh zSvNL(=B=_9M&*jpp1GI`UI?o$b!L8F73F$G@oXXW{qW(}tnZRpYP?7suY0ksOvANV zk5OrcsMs#;Sg1G|?i`MM$d%65>^IXzCYPu0hmGq)8e+;!FHp%qMt%KL9Px|_=g{*^ zt4ypMyr^vdaxAy`5Upy}VG`41dzgz%$w;Z`V=vX@(1+Zl-@2*BwkKNv{SUC(NLo9^m9kQ58&e>%ZfU|Fq4oaIZ6JUaPdeQL$gEL%+e`U!&OO(!oQPd$Z&- z`HR_TrAkPlX0L;@hr!nhE^`+^AFzx7euwG}!6JCtLPD7NQ?j}aVI^~1x#}ke%bPX9 z>j3S9zklbU?I@91lOKob?7a{x!9Y2*_@w+6qfTQ*yz-QIEGC_1FSXgB*1)~?GyfKE z{%@4{^LSw-7R|u%M5rT^V6XE;>;Gy2o`!8-6mK4Xt6(B1V_9;n)mixPSW>3(m@sti zDW**dIeZmc|D*Xed9!&_mTG_MYda}e%x^|mqc{M%Ryf@sYr%a?hgDqcRQ^Cye92Mr zyTq%-5Mdn6C{rp5 z&RBUg-qo-1&iaWO4|~Vlb}h-eurdO~r$TKVAIN{M-hX|Sm4Je>UoAJZamFpd+->)A zDA=pq{}XD7j=!HFS>g{7m6GH1+enTzNbTsX$ygiR(%}!!{}J-eF!Y_FoYy*B+e*B9 z_@+(L2W9V7X$e{nRB^{VnKCr7Podf3DU^n$F?>VfSav)oKAvCb8U)L~kiod0EOM7? z-CkX2-7u1z<|CcFiS`envC&c?mkyz!0*YRL!t)t_lf^)ky%8_o+Tt3elHZhZK}Q@t zQ--!byW6z2p@uqo+962N{LKLTB0%>(Z{|;+W!trpcvQYPrnTg|j(iZLn-9W+$w~{n z5k`2WJUW!A#f|Bs+00y;AAp;ZUS*MEs0M9>y@s;M2BbdWJ&1n%obIhWz8@EeTt&al zAV}gYr6V8Mpr2C$3>YD}0L1k*Bt6Y;mr8lODOheK%))@{G;R9pASt}Bjq2qw&Y}r+ z{#LEq`Au6F$a1^}2?$^$VuF6cFdo(yY@#DOQ>2?$q&JnT8y!D`L|AMQk{q!aJ!8gtnMkoW1 zqZKPgaW*qy@(ha{>&6R#p4oawA50VJEG9fD943PCE=ssMuZ&EdO&9xneztE#ZUp;h zq;X9rL@;%C)dI~}y@q+uCpY{Hed5~0K>Mv`aX36OkCMZ3RO(7DlhSlI0PH2F!mz;q z#l#0T(TcW9?hP7T;3;>Df~5==UiR#jcDjO<2S?S@t6H!PY(Ko%GW839g)W6--D%ka zEi|!H&R&9RPvx*ZR5d@_o#IqKW0lI#(OQVfve>bI*9P`EZfc)QU1`MxUw=apkWXa* zFWP{#5fXW=tjD68V1}fanE}NBni{z1&O7++*++Onvv?7K)=;2g1S`)9ZgEF7;H}52 zwE{r^+t_H>)mMU3wqQ-nSHYFx@L%L7DK@>}68I~kH2(WtOXev>*I$sFo`CBQbY9?N zJfN&(i70`PHaUUm*FX7gjtI4%?mnOFE8U02ey4mz^^u+QVe5uRe`*!CVJ~+k(7lVC zDV+o3YXNs$QPdUp|REu3t?P4NrK)6$Z;bi8QTb8ilxPoO_m(Hj;1r*GK|e{{Tj-4?y?=!4!g z*N~vITuRSf_jz~;^3U)Z71ZAv*4-*W<+F!cg+6|a%n)68WQh8snnm|D%S^&wyfD2V z0V0hTl%$7e9#bD~Ra#|D3^q#E4$YUoS8lR)pj;!~nRAw8HyKjIGYqrU_A=2$ma3(c zL{T7$5XjT_zCR!aU0o~Gw+3^Z4L2gEN6mrv4KB>ajp+64uy>(P?ZDkH=;zX)-d$$Y z<}vF}pIV*$lpQ7SY%m2>GOF)y^nOpzh})Yl=%V2=gXY?Rft{9Y4$@7%5s7Ns9OUb# zQTG6sj!~P&{yzem!^2yAUEC$Q?ZJjxc}rhpD@@fGSpzugtNUVymwLuH+)ucd1jVC* zi@7@?ETQUf93|$qrA84n|9(7flTPS2u#D6$;DP(mJh+_+emHo5J zC`$Rq8ApkWyAQu+_R))Yy0oCbEUI|^m44oNZtz(0%gb}*4pCdaE(jUl|0139S)Nbn z4)udwN3u5v3D?) z#RVLB1cDO2TZ~;q8kuEUwM=4*2tXcfY6( z39Sn@2MgO&%jshIAm)Bhd)t?CbbvQ+Cn|Q9-9?L0<&XvLM+|qf{?9_~J5v}=mt4YHk3pZUM%$@qL&bPL zJ@q=i{J2lzv<@mwh7SG^dqyQ9Z`-l6-1>h;KtVj2i!Ap8n6mGgakkYpnb`d!t-}W^ zO_uzRcVF8i=zU4^TW`eww0EsG?3gRi#Y>~Ev17I8ePbr475<;kJGF-WPPs^awFMNt zTk>P1awW|hrc(SaShC!J%u97-jGqhb2vjjW??01|&ahuL%13AOgIYMK0e?Qh#;?XL z$vR#paN}pKN-4lkUFciW81Ar&qkMZp-YKvCd*!mwBfFSujUif3{26*cb+I@|kf5fE z=|e$$?z3SU6x0%mv=|0Ua8S;^)7(Z3gzYaV20rymc?McYFy>SR$ilIo& zaNMM=8^f0MZI2HtD+2JiYLw%fWg|Jjq=Ky1?BMZ)ocYT^bAy zYB7*G#QyoBT%{5KHBah zn1>s^i#C8Dl9A$2j)zQE`i!0;L!vn?#PQ%G^N-<(4R~ymlA z>K0;t6sNx9l+BS3N!q&2P&;M=7g_P+)FBTsjeWx_(w|GDM9+x+{HHaw!F||vjm9M` zG-;Jd=3CEfom#LOwsRy6)-4V2vlPOK?D)zHSqS}6NjRd-C-z8FNmo5-*3!UgSDq9w zU7X8TNv-<+6)1u<;2u(#$KnXgOGWfx*cfvFFf-F?f{P5c`6MKuR60XEZITKqBT9HY z@Yv;}eRSDxC5Mst99LpB6*h5=IyLfiL}m1{2?-kvj0wh;n-Mv!8$#`;G9MkZ>3G{V z)r4kz2^MCf9F}%=B{`R`Z@{(C30HV;-fwgfT@n-&7r#=CIQ~mPc!wD`#~(JKfyH^# ztzbbq%lYu=+cdom)xR@B1zIuN7KIxua+LJHGHm({XVaoe-*esXB0Tu(7~tP zy0+DYq@e>y*7!OyQWfVCsbhjyZ>4K7%t_aaLrS223)UsW>+Nn5kRKNcp_isOoOk*X@4fvL1ivI%n3$VQpNM4JI`-z$k{pBGU8Z9Lw?%3{u?4 zeB6#U7ry~*H6N?mrCvmPAf?@1I{kM_N8iXHN8^tBp8ft;d8%*TtLYA9rrFyosE#J9 zjq*Qgm|;T6pab2K$5;P4W^%lXj^q&*>7vnM&>Gu}lXgn5@4 zET#H}sOCh1Y~Xp)(_x#;<+Kj}>129(?`hl9Rk_$5RI2T+iK90NR)@NMBrZd+6gviW zRnvNmR!(E?V6t)oQm5Zrc(aigP4cL`&8eHMQZg5gG5qEF*uO5Yl4gyy`0-aiKJ@Bs zdX8O7XAxhC7rjC7)PDN1dc_=g?;|R>MaLQ!ov#b`{!Dv6vcyf3%|ZLtdK9%=5wUvD z5z|*a-}{A_&m$_X?@b6lDd`6vR$?Ks0b5+DXU&g7(O5Cn>d#FRY3Ac2fLNaI;)oR% zMnq|hwYw|q@!ZNwWZT1EHF|i9uooueCt2uO==5dIx&emWNaPz=R(?iIhk3LeH(P6q znU{Z=H7BQO@YY!hW)85c+`t)YbDBe&CeybKG2FcIDzhQ+f$s00WtQ~FP}n-q?o^1h zLS=4z7Nyjh1m)s8Qcy7+d+?$bl8FF;M5GWBT*NQOI4_@#6KGFib)mg}>1GX~LVs*r9BEdVmV zQDMB}_YZUuiN5|qgnH=?d35u(Q`T?(H}B_$G>4~d?+AR?F{Cs6X#)QAWyM5EMD&UK z<6~x0rKe;5GP>wpJbIa0fQBVPS@u7G-0emC;$%kqljiP-Ksj=~v-k-s$!g`p-HO*p z$KK)9NypF=r0_;b;AZLQU{JYGP%|SM_4Lj!zPr?-!5srHRR`Ho3(~%CsbZlu!nFUa zy?<#)x_zLS&$HESy5n^4y*7>|6AQ@-R53s3jsVLBm%4tS{^oBC8|5`Q$8L$|08~tx}iefOdhz18kkz@s`1_NlkskgaP1;=i5h_x?Y^UUmTDS%+|zwD~QZg z_&Fm(uM)5W&0zj@sYj1VMt>@b_>Tk(Fe1f4Y-um)Mpy_q2+19q*Q3tr)B(;z=_64Z zB*+PT;)JL$_rt7a;h`iT4@Qo#u&Qv6{${k`)Fji zb2wyHHYkCrQz{i_Mj2c8I@W|@_5 z)k{4*|0M)@X;;*6eSsqowSTyBczV;iivCHEFG`RB1AAvzrED{QT$o@fG3S*S=U-$T zHjovtu!EAH$iDf0pP?4K?`rQ?LRc#nw2`5k_uq_v!BB6(40;~HKc8J(4`*v6DK|B> zkQK?~j?Fw=)DsGs6I@WvlXoEm{A-npjL#5Py z)@jJMWydUxyr3p2(zVSM;CUi4*&YkHhnkdDKbFLyhol2#GqAG1qIZ51{Y3ROi`n5w zS(21b?Xh0h5tpy1Z;l*P1i}^)$G!sm6H#qtE{Q!wY{69FXcw-4Rjj>Pz)K7}p?B9* z0J3OHrQAvZF?|*aIqg3<&#g;;KjhZCyiSt8B23AkBP(cM5(bftfaR+s_aEC?CRWO^ zVtmzpnF}y|^!brz-gTSK(Sbzm%89_P&a4Y-O5 z!%#!wv4RUQ^-yYVn?B>^c!A*xpm52I;0DztP>Z$?y!HW$-?5p!ZU#J6n2*cJ7B~$j zF;UNP+Qa_Y@|M-ZN#DQ6h}H}bPcM1=ZF66&wMW!N%*go3N<5IPgr}>=ts$!N6%p&O zld%0sOeyrVUy<^(mMSzIRl6qB6rM^d*42p`0tKmhrYb)AoF|KSdY83En872wN)_U= zy2^)$=e8iH{f@fN$t8%0Vrb+k~pd_}Gz#w+m?5?Ke|XX*k5(Sr-cXgg8T zSHCmyrGW|Ad2!uC26-!06VCY5X_M$>IS>Ec#uc!<-%&$0q1v13U4{tsADm z*J-OzhHsXPfG+#^(vVHV_f1Uy%HH!XxN;t}XIRZi)IN`MiSgeaOBymt^|aT3jrqZ0 zrw3*Na-Jfo^t9TQ@w4RQ=wD4m$kk257^pCNd%+?byf1(JyyAlPtPVh!kh4Zcbqjin z$5$&u;)a!?I@~5bH($pzC~bIc#ES+?686!^efj9VBy@ z`@Iq)J{O=tYHkh1Ww^cm6XttSe2j;iebhrr;C-%UfhvElQOEv*>VNL&3RO!<@7>6F zWErfg8oxS{yC(HpKf^FV9=?hL4B~`f9ECDX;&$p8$!>3M=FUfiwc z{+1WJfcXRf%wDQU;)KREeneaN&K)Ll^E|SGbC;1(_3c>%unWL5O6vz+YW}Nt7~IvK z+$z2E`l^fK|7c?xE9}Vvm}O)9&^qSue?6Y7I312Wm2cfu4P|WX?LYBXDrIaO)IEVG zHaF9$Z9j2Grmve*#-LfXMoe`Qvl;oLxxa2{%u5;BF6bJ3jk*|HJcuLsSGq6UAE^R0 zRLq>NIYOjf__&cMS|cH+>m8+uw6&18OC7@mis~J45`mLK#Ot*+!wQqjC#k=h!dxus zrhlwZW1?;!2VebSZl9$(vdRa{f#NGt*N8Ic6W&XA%&kgcWbKNws3cF77JiHlo4@SN(JF_Q+)_p{KJ>34CBASPBkDvZKbgp zQ?{Z+!HXLTdU7q&Sh-jv67`j-eh|ir$hJpjkGsQ2C^}g3rG1ZtHa2TO1zf(q4ONd;x7gG92` zs*!+lWN+W(V_+o2%?Tc>7RMK%9~rPN)~_lRYg*5~8Dzqw0g3YD18rUcxXD64gy2u| zw(o$7F!Ixbhy~X#ib8)fqtGyXJbo%j6q{t1Z)daX{^IDyB z-OYG}dC_71AHj^{H9^#Ke7q|**Eb;tMi=iE;7c$6qTEEnx(? za&+q*xOphW#wpH*E{9xZyyc`9$K4Zf$kE=2^0pN!ay}NYqLJ>Z`toKR4y&n=A(i6N zPI9iReo+F{DHti4$|^uC6U^#UjVXr*bX1m?>3jl3F<_6i%1={d@yHOj-MRT6*b{3< zue}t0Ida8Q!!3?h(jqs$(aw*(hE0oB$)D1zfEJPglr_$*;pIRN3aQvh5~V8fu#^?O z__iSu+n~ttCGn@LB0uuB4{>n>oW(-*GEKPvEP>6SHEzI$NQb{9@^vUJ8vqTg8o$0q zk|Zzok%o{Q4O7`;=fz>PAf8ZoF^_nadyl8ikC}f$V0Ie6NV?*d;l&mR>$4@_x)U-O zZJ%$2>^@48);LbTnjI`idp}sk}_BGx#m+}pJc44|ZhyF9&2i^Gb!niw% z|Ml9f3hJ>>+vzG)?=3BjBD)?gK{Jl8O-}ZpVmJG<6XKJhT`#ZxTt}!dcwTeBT5a84 z-!gT*ybvOmZdmJY4>4qmm%!47u1msKMg7~de>_ZTW7x6p4Pn@k?-pnxr?sZeJYl~K zI~I%|nG|(?WpW8eP>@=uFq}_mgo#|h7{=g6iI?M=shk!-DCH}v`nRPEy%5n-yYKoEs6$vYwsW>H zZ+Fs(#43*ymVHJxRa6klYYjgP-SEN;u6ffW+J>qu=85*TiZ(glg!L-ZN-`73)W424 zVZh|3$bRVN2(eq8&Xvy9B>{DHabRKM3whu>WFhq%pmn-Iu6KO!p`m`?BX1|iRoR1z zzDy32u0Q>kQikV_=~ahQekl=GixOHr3@tGoB!Yc<1Q^HL(piWZKEF1s*keO>R1Ak5 z4J|p+lrB0^u@=olAEWpO$1y(CYhPJdUN(f9Y;SOjVyCGjU9HTU#G+YwAXdA{j4vjG zT_O6+&)Ud#a7#9oU#~$r}YKi(oyX(_>*tus$L znlgiuZVY^AZMF16OrJYmdv%0*;m3!#bpma`MukP*54Xi+EfcaC^Y`SVueGJ;hbodx zBP>}9wO!I(G=J+${S*~NaQ$WBKBP}Gt$3IiM!68;G2&4SYtj&J!A~IK@17RywQ=t) zo*(k~@9!|NM*#+_u}%>uK!J7^9<+VHa$PoO_u+6gWM&qNmoVTpjej`+ihSnEV`Sj* z&i?%ui$xyNPSejl{{kVV`EmXauA9c*&u;ivrQf@eB;MRa)r@15pLfxA8olcofBit{ z6B2Md1&draWwshc`0o|I#szn&F#~qS(5k9d1iRPhSh|;9_VoRqu}XF)>-N+6p*K37 z|GvMB&oP+2`Bbi4>2K{(9i+Ja;>2HuQ#j`9*ppIZhR?^b7*P~9q0}emQ0lJnDb!M8 z%eZeciofF1L%wePqmYe5Xb}s*MhhqSVv)IIRo3eS?to<;hQWv`t0%k^eH_D&ibgaf zgREWpj}=;!Wz@9)I1R?f4|{!mADw~3uQh-$^-!PtEWdZ>Pp~5|@nS@UN*GpK0Xjzs z->fC_-80wK@Zc+1PW5-&wW*Ukj28QAI5rdsMaFGArnQF!^i#xu_ZtpqD7(TWiGVWOKZJ zcr@&oNQ=Ze{RGh>PTut<|7MC2;gz^jjGbyLESJH`2DF{E#!Z+3zLMrZm;(EU!5nh! zuTiZE914mAk2H>AMGK<=SXyY%C=+yK?a-dqA>H>SD&H8^(J>AFLUFB#?ILv5zZVqe zyBr+jRX|m(toD!ZG~w^n6DuOh&x-pYLwRPFxD8sL-~W@V|Akgpk6T2sKSI zS(86m`!DXZXr#a5(Th2Q;($aG0j5FTS5ghD!DiDhsZtEHzl+aNwoxB zea6i5I`r$$?E|a8-Zm+Sy6{M7X?C^pVL4Y+(d*{cAwD_f?=&OE^P7I?$OFC3uJlIT zuExqf{%;90!Jog$*fui4N;Y}>UHjFUA2?&1KnXkO$GS}Kzr`gZ=U5Oiz#(x^5xL3z zV*Bwdat?-1!H7|K_uyY-K(|GzjVxS3KMcA>iHx z=?Ug&qt`Tf0emH~7D3V0hH51GGrVV>$6N7}i)^Wrki{EIx9tVYNw$@27Fa|wpI#B1 z$e20M4=xlEG(^L1RKz;7kLrYrg&3~v(;%@y`3>st1D&_HVl*2t#?te3nm32yf zSVi-j;N=@ncnZ_kcr(q;|EmSS+uUd*IA#>&{Jhx>4vAJ?o2tv`7>pABpFret;ZC>F z&HMioh&Ca^G z7wmS8?mQsiM~paW!^KY`CK_A4350e`EU~c1L2BIq{1w3WMMnPBeq;VxMWPoW>6d_! z!>@~TxG4lZHgy|x{_X_9(>y#=S^IE8G;C%w@m;_zA-%MUik;mp~G(t1-dPGQl4l$De8yV=g^d`lr*+7iagb z4=)oXa@vEp_?6lAvv;8;mCHn(SYdbEnd$#tM)jSougDZG74mYrOw#vKZwX9PHebcC#9rVr$%AruB-=_wvQyjaDuR`^GhQTg^*1#gQy>p!8Rwuoo}Kxj(_~RD3Dt z6Df7;FNuax;PpMvcF|E9(o~PzR38n6mHbS0I-8L}83TH*3zIo~j{mkC1!jAYU?Z82 z@w|F0^O^0Eg5uwNNQ4}SePu&G$LA}GsTp-_Z_GCV1TPLBt{^Su{08X1b&TR*K(h!z z_=d49Qngg!8}lE?2tJ!;=j1k5kk+D!p&e&cpxPG5wOm>lSh`S0tLI3@!BTgmBj#&rQWxyiT#ek`x07im`*5hqv@7a7RWBb4>090`_sp) zhl26VA%AB&1v(l>$(u@2K2GQBAjufiI?+IaOE9au>yrOQ2DI!! zMxfD+HK*)nGO#7jeJ->itq}7kXqZlAE?JhO_jT{HbAUKnXCQuO5vnKw;uSX zsxIq}k>g&?+7jH7^OE2&RhmN#9?dED&;Fs#869ImGO?gJ`fZXfKtf9vru)Fs!tYEL zMuP@oM4Ym;r(j{WqEp>!(Q%ZYr4{IRvMVAOl>_X04$`nnve=zl6)t2>CWJ=%Xtb|0 zCy2-3nbk<1LlOJ}uuS^9xhCGweQ^0Nx&%8e9@-y-7gt1{lqk&_R+0i=qCr~#(x^XR0=hJG+-5}iPp^!}WCx6P&21n*Ry|Am$nP9>TZR!( zJ^C6wU=^6)du*NSi@f2$7k@Ko+6rE?%@U}a?NH>Pgjl>+p~jnAAS`5?iq$l}I}|S{ zpUee+O(oj*2$&h!{Wj|-Dt*=s2H?;F|BmgZS#6%o?D=KLmG~--D+|80rxkb>bazGb z-z4ED`#){q4!`EKMlTp09IdC9)j4&1jFxB`^V}O>;nL*z*e^0eFud>SZyksKUsO@r zjq8%n4uj&~`%6j!wX*3ry#cza_>QG>`z4<{1~aJ^fzyjVr_Gx_PQT0DhX%BI^7z7O zYo7+)ky>uU686OAlaU=1FD)7zVsiXgOx1trfFTNQO4+zOVtjJ<5514^hqkoQ_8xP1 zwLZFD_w|`RCoIq@c8ZYEbZL0@9v?7H>jl0IKvQKTV6M#TGpcRS>PJSR+tOv^o7LLk zbuAWY7w$f14ecK!h6 z7oR8SyfD4+!_g<&%4mIa6rj{(AVB0BRJ5!!8S#)r%|_-o*3Qz#@^BKHUlGm|3<8!8 z&m2l|NfFkWcoV)-VMmnGPMLUF($Mu*0nLoYrkio)FJTd5~l^vaYUi zEKCz9v|awi-v_&o7J597P=V_Q8aAibwGJpOaL)RXsC0VM%g}P)!j&)qbw0K=1aC8( z1i}lP#r250Yd;vizat|b-Eew`m!bwMYj0UJyL6l38-df7AiMAhx?atf&iUO zSY7n_@J~rh1<|7ocq6BRrqW7-$0G`}(QLBE!wvsYSL{sPNS+y5oM?V9_0Igi= zF-2wE+yyuO#$@Zy*t)8GMqF(8zG}tYiYr}L?|~`$kVau zHL4{Z4_9)U$2t+BDHcjbgGq&js#n#j{cg_mvX*CQs3uQ6>)tXfq2u|A98{{}R7+SX zckHj3#L2zq=GYI$h}2 zYkXT=o9sNqyp>cTc7>hf&>E#`2kw$~PI(GW}n~zicb@&2>7x=<^k5n0DG-Y@X&4*Uv4Dz+h}4D*}~Ai@G|!GlzyzTg_jR#cOl0?~*TG@dh zahN(+$12viDcFoN%FuzhaO&Q7R{+@G~<=iEV5j(nqnYf5(hHf(y(;yUjiq)_@uwfz{2o^DEOaNb`7-FmJ-ytXTIC~azYhZRl77t+@7U6Ui8eglh65vf&6j zQ1K7H{;iVpH0$@Q=$8~Wdgj&D?=eFTZ7p@B{w)zEJni2mcjOKI4LTEwg1JWdM*|kk zSI4Uj$D=(uGAEkS_1444$ZQ_5q0BejB8(RwF1D$**^T-RZfw7`c~IYIRf@w)-m8w1 z=(|g4m}0)MZVW*%1N{4Aj2|;vqyDH+by2Q*qXEi~`o*A;cyxj(O9_3@fhje)XUJ`S z)1c4C~ZpB*BKbLn?GlpG5od%wKl7HtYIfJX`Hs zP7X&%C;>_~zP{Q& zR$dSxZbkv%9n2m2y2Oa{lG+N=%U5<-JxH`JktNc%IlRsKc~=)#zmJyu{WhIxcH2Fd z9S-A4hvvAV{gV)W&HLo+SG}Fl(En6*E|5wq%V;gr3C z4%lH0_5+|&98gRrKc^>s8I>_hoaZ45u;9$(4v9THG^Ov6SWmg?>3a%QysA}uIK|-~ zaWMj;=#omt*Uvl;UnjSmB)Tkfh|Ec7+2FS;ZbMMGu+MF!x4=-}3y4fvA(#Yu8?$ zZ(Sr$i!2nE{;?A$Oyr6x^5o+;EL@%if#^upXv2C0vhqEUo12F(MpRZ?HA61rwebrC zDk%zz=5elO^7J@HJM&kTzY*n3v?DK4k$Vd0bJ|XR#Q##EalMQ6BwXZnXV#Qx+&dh) zDn;*#mG8Ii-!V7gxYV`}%l2LG77HS}izO3`?kFtFOf%?Rnx-{%xaBPwNnf3~G|Ue= znB=Kc`Yr#;u%i^OEfmGOkO^HwFMoIdJ9gK6oBwT~MbZI)IkQCw3rz$C2{EPye*sdX zrhi2`_3R*Nn3`mlnkg3_x+uev!gmKWS|G!^#n~4;?cA(N<3KH_OUDyXv6}m6c)--_;J+ zRDE`?z9JXOysE*!`|v0*uT!6d>`6ID7H~v0FIi-3R$ExhF84Hu7i%PFNajiEA{r!3 z0}o?1k1>#sj0vkr<=8{7C$08*O=sgV;7p)m0lB%90or`O>p!^#nHcV?eu8O)Bb=;E z37!xm`X-x+tDsPD7;`DwfH}e^1IcF5l;=tjaqupS(7e{z+vb<*IX;{T#b(#6xrZM& zZM-0F!#$755~m2|KE*E@S5?!T8&_j{A2-Ctm~1Rz`Iq89qm{_xl2SG3y|(2_uw_VQ zYTPr`7fakB)??t#b#%fn^wQ6W8jB?7%e!nqCXyf;uHeeJ=GHAMWQkx}-^p4&jR;tWSKpXqezM6YsLd{dsJz?mr9Z z&dGx<;QurO;*sO7@b+Dy<+ndZK<-C`Y`-=($3lcH! zeUx-SMZ7(rFXm7GS)9?@ z-(yN*=cxTpyv{Nf)grBH9$LwY*gA=~Il@l5A3?|4HA{Z%KZjzW#p(Ux zLwEU_*$=5ho-!VQFj-T-ze>lVr(hqsXp={Gf6^JA0Q=ww(sdlnIL|-Ny8TZ`C!QAD zo@r@iInlqXeFY~mD8A}Hr#}1Q2*FLYN}-Q~~w z{d*tpG47GWJO>$1*1guc=A1RW2AUUQ$#=-o=Hpi~Ga}$3LFZmGwUaP2Y{(;FdpEDR{sxY$#0{{e4mxd7W=b))N8paVP3@NeBoz$jmuL3FWUstumqhy&Q~kYi)XthJ|Rwtp(2Xlz&JWfe+eKK9QNU6 z=Wq`fktwi6?vJ0T(tmBc-UD|NATWJLtisFc`sxQj5n>o8 z0|TyrYp6t4U!(y7XX(Eji&?wk-!08@SFL4{8)R!;)x_I(nrnBrf9@NE5gK{sv1%t*WT8f7c}hyJC)E zN@5zd7ptT8qdS5B2!nzmnA$1^)~AvB>`+j(yOCXGnhfN`uFJR0hVT~S>jb@roqq#W zx{t?fhQa&dW*gnxAhAo42y8L;x2Iw|NC6zq8+zleVo=BiWI=!c)}iG8kb(}aeEU?6 zb?sw^6|&Y5sVGpH@hOU>1l6S?SPPrsgTFWExf4I7JVvl8*OZ7B!I>wo-#FXLVlR( z(Ynb4hbjpj`$nSzb!^~GnRA=sx+0fs!z;jsIP==mTt7dEC*_;lwdRS<_(zH5832^V zv?OX!chO~$vqWtGydvO;0*ViEPd*6M+{;x?S~YUQe8L>nOX0*Rh3ZtooO1TD zxTPm-CX|fyI1CDM>L@-NliH4xR&krfm-^dFeNdO?yvq8f_!GS=5LW{wE+Dl6$&~w= zelKcU$c6c{Kmw9~AaLT47oUiuAjw3YzA;MKi{N2}*rDBB_BJQnVs}GVFs;7zf94UW5G1A6Gk-=5soL@T0UrecUVXZ-}8^4^#9*|Gc zQq~vdJDz} zwDE@wQZ3dA@bpuE#3K&LVc+nDBB_922#2^YqBr~G#-;E~YtSpPVVS%0L8X!8;VrdB z3lUfF13mlO$?`!SabJP;^;thBk;eK&@F5KlaO^c%agqoIik-WQG%dt&`v!E|6@0V$M#jY_3f51HW* z0|T{&Q`2d5T_LgAhTY%)^7p|v2%!*xy)9yUp+h&GkDa=4_$2pON2WG55DXR< zmyjgMP^)D!xKXV?dTD<@l&7;Hh5cUTvEnd6qQheM z%G!q=vDx!=fcmDZD{qZvADzXNGpcvlLbpikvO3`YL%^{P{*sf3>Q!C{>3hiZkHIEL z2vW1R`7%v}fRFJAGZRK!>v!vML?33IQbk8o`wE?nObjL0VBfcqp_rUrtQBmhx20@k z{|oQ)Z}7jKH}eGVovR7^0Yf@N)%x*+AJXk=(fZozkSO)r{Jr~tBiXqTo}2L0Wokud z?d#Bjqw~l(~BkaTCUs30gPXb_89XJYZ2jX zJzeszOXTV&rL%UGbm|T-P^)--ccglrLDAw!lyOY+=VGzhtr_nr!1g_VR zzr*;$OB!bWRge0@@XpUbJ5+$-l%LN4YG7tV)W=S!-s%Fk2m@0+-BMUnGBSjMns~RW&o?8xpMN2|-Q1;0DF?q< zXk!Lsp^&di^xG=Kjf&eC4StgTZR~3itHz&f z^opPN>!vnIuQQ=6=rA~_*h}eT6MYDFaAOCjovmG4opFv9X$j}|>OG!Bd5%xk9h_(F z8B48UNE&r&R{!&kH_oAW)FzF1$mT_3)Zh@sOdydN5dzrk*M3r68V>Zg(xAE;~b0Dxr(abfLw519jU9{`?+xL z$S-BRhJuO%l8H(KntGlwC30H$;4oEnPlglw1uYNd)xtoid`M5~^|kP%rgL0O@*FD@ z^Uga&L|yoPl*A+{1)IdWTN{))BslolODx8|b7eurE|%{?P%%vNj2Abc~`E+_@28zE)HCS?bFWGcKv7A>wZyupyxGNWzS;yc%wg?{t3!J3BcL zKE+j!n~MhlFa=P6IAd>|AUvwU{RARD!HsL@^Yx~YWK-xq;_luwU}B`8z?PK&N`Rt_ zq*gAxlym|yu&UYRv=xq}Q2`3pNjbN19OaJrpvosrN(KOlDvVP2MLiO$nBEY>8Kxi~ zd4%bgTn-TzQCpdPaT{hvHy~DAh`9L^bod!AYp#5CycFS4p|^63MpKxt zy4GWwf&h7RONvjzU7TB{JB-|p&GO1`;~!YeylyznW(DBdB~uV&GdmD8_MJm

8!9 zpSW*|oRX7rR?P5FfW*e+o(lGS+4AEW-f={==w#c7}4y3knM_^Esi#T(uZ~RhE z!={{V$A)vpNil*eeZ@9C#iaB{fE)#di2*Qz(a*)s*`p|MKoqY?gUeHv<%hFI1($V`yk+LO$wMH&K9mD2a?D(u=q&j{7l^S`zj0wrd zc&;iT6jNeo)&cyq`d1v&^-T39y2(S~o3s$Av=y4J&pX`!62=KQXuGf`^uht2ZJ2p+ zgAv$d5g20{sRWEVka)T6L*RUb>jok3a7uExO+9!&aXFSle*Y0635d~>(5;B;qnTOY zx+hwcx5!bO^8VocPbBr1>Ir&(MKGPM`^RFx^xF|M<4$9JZ2rqWpH_R+i1H3+U~!@6_# zZ44=hlCBuHTz6#ngR1}k(%u7|Gh#;(Y2IL%ZZYFO*9+HR&Ht+@e-@1Z5_HAcetY4s zzi^jHn)Vx3E=nN~cun>3{&+A^eV%SK8l3!>l zZ_$T1wn%Y9ifFglqpqrSi+fRtS_lT199%ElW4E2M=wpc3^Uo)Qi_sce6)HLRIvCVO z_NC8DGI9J)c<)ueLHLA})C{Vm^dcQqQxrqhGBPV*4klEm+cuGwt&SKYoIDnKs<_LT zFi|Po0^#SztyM3yL_@6`zlwv^zx(*j54HhopBQD3{Eg&SD=jWk4YHnG@S@e6Og#_T z54ANYlRsng7!7p4N{0LQq6~x{ke!Bc?DV}_Jee8r*`*U#?lK?hkflo@c~&LpmqhGr z35`PWbWYieXg9vx^b7r}=aidNHr*NN13-vgBZDDw0%*a`pjX}dHB!fxL+)kD_pk3+ z5M9UAj?8C8zP4e2f0={^MXD{T}Me@ndf8U5PFA#rq z{EYb>{5n~ek%99D3pIy@R~szv0IL@|%XB>?BD~Tex7+6F^g1V|_mepW>1ex71rqBN z?+Y&0(14bl{WW{td=d_^I?U5tejSLW^(iSNcos=v1X1@^I7C@`(NHrI?Gipjcpl>r z2^O3mdRkRH^1gW(;B%jgAkcytC>{ z5?C();xu&$OSkjE+}dg$+P)5~nXk-E9RUm9`#c8?O+@Wqc}Y}wX%k|3lQ%4>wrAtz z5rIfIZxO?4=H;EbON|1Dd2E$oj0|V|P)K5|c;=+=5R$`3f<1D8l^^kqa>T3&8q&fd z>#-qLiTz)&k#6@??JG02$pe~Y9(J_&!@F54m~6?>0HDk`YuD%A#h4i))2lwW>1ic= zXmffqxLopISQ?Q_t^x!GYEwzvmmNKLH3RXEV^Zthq>gK261vf)GC-5IiK zt_SP4PD*}Tp4!fTXNPmA@!9|JFzq-Pf*#B}0a(&H9@i8;Sd#%q*f=C&Ayv+A7a3lJ zyAJRz;?L;#8ZcM8$1_uxSAUTvPU%YluwF!$-|~7x@SR zE;faZYoLn0Yn7<7i+6~y#M@aunyqfhpH;)QU!}PEJn%m-zh|}~_*6dZ_$j0&i>+PB zLXQKXNo>VpsNar64r9t6(2<9a>zB})P$c)VfOF=Ro~C|`MrL4!HM~}OrxCjGo&|gM z3etp$vd%s;wt|?Qti`NV1qbh!@g_b>#4B@Fz(w4c?}Hr&--80yX1XKffDH+SPw}l+ zH-Xi^MF{*q9`O)WYZ#FD1dvR;5!6~B@0=BFiLeli5Ib5wSZJ6fiF6NVq7?o)wLq1E@$i1&PB{C}BE9Wt57C zE}Mq~-ZoxhOXo=8%u7FB3^$i&8P?)PP1ix81XcbhH^jh3U3DO)+4>J9SzD9D##@gD z84Fo5eiw!+2}-Qb2eyoBjK989d-XM&>Y$gW|0(}Ur#lC4SAxM^HN!}24OUo_bPWV9 z?&ORwKjBO}ER}1c!;S=>q(!LAIDF24-4Dc4vi-=27Ch_PwMCYVu9E{bB58$=mi9mBOP&Ah zcW?;}RS4Bx2AbYtQi>|xD(n*c=$0kD(}XU%f!P4D5I#&F*tg(PY9pZ0Pd#Hp0*^KU zAT=Ctvn%T^egy>o)4@u!5dn_QDHpZJ_r&<=r4$pKL$3D?OVhe~oj;rCQuf^4Ecw}z z`A*wcOrSwS$tG^|I*khUNrcpNIU7+3Q%)IY!lQER zHSB=Ez;oXYkccbdQ?4(3S@7v+R+Wj3r8bIg97go6oMgDroON;TD2U1{@6J}Y)( zSsTiT=uf$Q_hXah>oe~X_vkT+I#!`tSnQT=_b;j;W0)g#j!4qn&!X%B4*?{yy6$Fh zi(QW_J6(68vrg-Bfxf<)+MttRTp45k|AlDs386V!BD$3$(Dui$goXX+N+%#L)5ipn zJ3+y%E|Xr25-haauPw`$5wYFNP1E(&IRxZw;Bk)ThAndti$<}A0-by7^}Kwm+bfOb zCk@83t8&88JBQ2Lx%W0df!d$U?lBm%;hno5Zc!|c4&Vn@^q*T=tR|8K+;7DCMP#VpU)bp;)WF>#t zs)Az0o+Jzyv!y%1S*%edh!hOxqmY6qtdISwFil7YYNg(nO? zYMHwF2unyadEy=A1(vRC;8%Tbl?3WonL$F}kaV0}`$QiC?AK`o z;D{1Sii{TnhTG3MrB=~ur#{Z)@4~)g0N_3wOKqJ{3<?A*@`>yi}%0RR7R)%h~(5 zoL9l(OnR>16H*xZ6Q=L`6jNri#Ay8vc7|!`>xJBL*QNk+^u|5I_hSdkch@vO&!}Jd zzIy{cEUtz2t?%pR>JlKQFqJ6^hEctL&8=0#C%3q(tafp&XjO)iSFr+!%mz$lWP5^1 z++I>5V`Rb@DqPy#pc`5GSfHSvp6k`%&7UV*65OQ-=nM1&50!!i;VDJ8>GPzqn9ZKk z0SQ}?xKuu-yQ32^3FOe+Km5HOzZ^af98$FDEqNc(6A<+IL%MMsyB70*Ra@F9S4xQv zGS8ghhYj}PScL3#cq!kYHPxmJWOylmc1^6#F52Gi{48MCSQoPu{a6Tb<}TLJFf6@O z!Yd~NurNq`5rGhcRicB}8L|mG>?|AOFQtyoKCL@LEoUhudB*7p9Bw2{*%7b56?evy z6^Wgn(NX^Xt@+hnQ2n6kTPO!HV&VZ+!+G*&vjN&!{%XAOTC3bb%^A5;oztM!NJjC6_|ujczflYVfX)afJEs&TUFv*4puFPX-;b>Kp9t zAu`>?t8h6V(Ym1qDT0`UHMnEP8a&)6)H;FJibaOe9Sl=uLQ;Hc{b z;9sRtvem;yB(M9`q_zUghs(D`GszG0a{DBl5~|mgs%F=p1D9zJRAQ%oZXK0;Vt_Iw z_|4U`RDC*FZ~C^7L8tY_!5Y(QSZ+Gxr`-BK5{A!|#)&?TDVE6Rn=W}(hfO*XrLD@G z$P~5mz=k})qOV4Kr3cuEEC6@mN{I8mrVNAOKByoYG#SjOWIm`9RN z;QedF0D51c)+eCQeV6$5I2kof+>6HEzDPg!@jQ8tA*mt>0JCeh&lzUd*KMpcf|(-4 zFTaJm2fb0pX~N!3P|<(pltcXYiY~GR3}=7;k_nd-6bvzJ8rNt@Qs3Z0W%~t-_3dD8x;q7 zRr6sgoF-xd9pMn}@lp%^xfyAs;S;e%w%kEAdJWxYA2jzf6Is#Jp8Ljafq+Al=Q`Kp z1>@^T%#~IT1WgKMvl0Y+O(rcclh)}&TOkt`V-fQ?umj~b-1QvF;ClXB0Eiu*@7$Hi z8s1uiAW=@bzX)mAHP-fiG9ceAVY;luo zT6*X(j5xfb@p$BUmQTo6XDzhVs~h{wbL6?O%RO5_l|{rM6+ithOr!m0676(nm?W~C z84DwS*6`5GND!*c%dgLZ;ug!v$n_^%zK1&Q8-iaZHO+p3DU$}aZJT`Ucu04tflDhH zuqcFWU^obC%hk)|cl#!Bx4P!ECvv_E0@lgA?pLV6z$m5&XZ}z(!anOA8_~Y6n3J_C z_qU93Av9{Iq*!-1m!wN7yn^-mIqYQ$-;RV)lrW}dmF2C@P17k;VSDoZEZS*(*y^?$ z8QU#)gKNh#XJ4i9U$sAJgYwJB5&N=W{hy4dl_{)_^Da1f%*YVNSN{FMUU6?ihWO!4dh(ZZr7r^KONLewI9Hl$>S>Q(q z91lF4&*0!N{68}Q$h$6n{ZT01gh$CP;N(zf8P)i!PmWjBBVgj*)v57kChhcs1(Hd=Hu(N zt-iOHMc&_9guEc7ePqbq#Ecq(g~grrD~!(m4-E>q=p`ZUeob8u6&DGw+J8g2`a9wH zx>*{3y~WUane&FZxU1%RSQdOYU0$hmb)DuEq`u)2!7qyptG@F)?cG@s^J2{I40%TP$7Vz*M> zdXC>+Q{o6K>ri~mJV5oTLcGq)@BO1A5hGs!j}Loa)D)Z<$D+0zd07C7@RH;u1o?=W zFDXC;6=v#>+&FQX%Z^o^PX^GZ=zx|-WbtGZMa>Y^tC^q^J9{|Y6x1M840TssbfFl` z2GtuSV2GC;tWTr*XP}jD0g^)pzcr4=6}D7fm&5tFavJuSDt-Kg+qoQ9IIeMhmL%`aA1JOJjG{m4#hd46${TOtNiyJ`wOIjlIb7&Q}UIX#R zRs1J>J29{L!MKyDfI#XzQEF@5XvST;M4#ab^|D(9a^&CP_siMtrN%TU!|T$H=ve3k zxDj>uk1Y-HPs*_B!%wTJBs3NFn^|{DEQGvZE8rRe_Fn?Jd>TifCwMN=hm)g2>T5=s zxbTGw6n~Uf*Tp2c(MK)SlT|@2ERIN;WToy3LS8I68m?WJT>W*ocHk6lJ2OUR-^7}B zEDSE=kp2)l^}=;uZ7V&CM+kR*JCBKXok5kuN#n#A8Ebq%1@T>Bd8(#5O0y8Lsm$q-P({bhily^5(p*3rYoK9Dq1oLLdDZm?<5i zwTy|-L_TvN%jWv{+dMnW2s)?DKs+M5r%o9E1Q-{l(Sk~oa5kKxDJzHJMrB21j)sex z2~v2M^2`Bang6ozD5gBM-s&UQy*too#q6}3js*X>#V`M-AL9KV=K8D12+7j-i__9y zJH)}dnEs-efZSU>W_2oSp9MHiq2o{3K3qN?>w`zvlX(M&*R0?3-T<2W;u2P_p7QM+ z)urmXDl}YzVeJ&kTQA~I2FJm-putJ8*glS&h(b{a&zn;?t)T4Zd;)6R^HAR>zC(2M zq(HIqj*cl0vdywwsf}(pUGb+zMx(BT!x{s|^-j#smWVyDb=~;@ks^WBnelK)_r&sG zcX(w=gPM>EM7c>xw);d3cXAX#X&LYMu7%LUahWOZQ&k$rY1xkBSG0c^Np*fmU4{dt z&q`>GnWagsUg)u(oT)@xLN$b7T52qnvHl%wdR&sY&4U?v*JG%K!0YZdh>T+3L#^ZDaUoe|}RvCFrx9lUYd z^-Er>wMci-*bmwXNLJ3Az@=oln__@+3Mr}~F}n0Z^QLw{*EHm3QDx7$N*Q(4`dOT0 zd#_w0Y6TdA7Z0C~R>|)SPmWEiBJC0iy8^Lidu!mBv5-VSi80GooxnqZtWF?^WBmL) zscBe|Vd<@B!-*Tq!HU{q_&%dV;BJH`>(SZ^F_6ji{BiKa3?U6j$ss;SRvQhIQKitanC6Xbb1U($ia~|JUK!5wo<7@dOqZs(?|v=HG+$8||zsadiBvFuW;@H3i8hO2O(DOj!S8T75WqI08Oy=nOeV)@Ef- zzlPwzH)|mweqBesRv4gMF)PTw#Fp&SUaIImESjmo^iv0?dwPEpDDm2h1QS+BU%cFr zX=hR$g}yEPr(6afIv<4P8?;CQxd8Q~bb3T3182!Dyhy6y{ zcGE6!74LlZy-+C#PPbDEjm!?BB_Aq%CzgJSrj1R>?c=fSxp6&7(=HU>e{-e#O(;>r z%2hrR%vN2fuPZCW72VVh8*w}ZM})jgn%g|HMqqVa+Yq=lqba&=U_u}v-T4;jri2wB z9YyuG^uMT;Nwo5)66kRC9TFZCizCN!^~%!~kYc}(IeUpmzPf8%0$XHNhb{=6Vhs*X zWLF+qAZ7u*#n(a{!~8&PBfCD8ue0XNw(@h`ED(Uo0;|L4unnCz8@~Ra7{riS<@`a2 z{5yy;bbXBhBGL7+e(1nqcSHTukpz<9rR+eWHI9SP*PZA%-74i)!RJHjiLFPV!}oQ8 ztKJh|B1w7&5U+Wdp_#udz;0GM!($s9qx4c}10kmrF0}(P{>A}owo1$Xe#RhZJ0rq$ zt^NHSzzY~yY<|THF7o*`+kE3)G2SRT`@OU5;BI=m=B)nR^=Y$-oo?E@=tLPVy~3b+ zr0}$#ip$rGg{`$h%|`lD>a;&81ok4xepBBhvNuC$=w9}`F z{VBvb)wo{()7hgmAz~xSBIxoW$Jj3Qnvdb%^1V-{F&jnDBbrye@pqhDDl!^Sx)E#^ z2J9+zoa!RLT|ceB?^g3OI|LyDc9Nl<+2CL01U4r>lCzT-Vi8%$UsZT7O9@CBoJRb zgyB`aLGCgE(5e0y+*f=RL<5*TgfPgT)Say$LvYV>q?WM{ssSH>K5Bqm+;Me1_BYZ6CyyVO!aERU1KAGdiR~lA=&XS!18PMyfNSR{gH6{1l17EnD(yY507iI( zSa9&|G#XTRY3Vv@8#3jnAY>xuQXEy`?&Ydyu{a9p4^JiNSCbJ z-7CjsD;m->S%J0Kg6Nlpw_~nf=VNbx#?0>)m*cQk3YutUK*k!&CrnzEaDB}Er*TX{ zdBXHkm}olK1v}xn|9xCuAmPQuOWwE&F_t={#hw?R-B9AT_7$y3OFdii;9w-gA}l@Xa&QxE?N;Z=u)+8;)cAx z|JqDYMe+w)z|!HIX`?sbWnE+bRzrF#xeXC@@Y9rdt0!uxxkO|C-H8vZG`%l=r?_Bs zq%z{x8MiAuru(ZcDslZ4ByAxL3icv>H>qN3{^7Md zSv~F>C5qL~4(`1L)qN4wy+6%)#IwOZwzQg|Lc&0~#C|i1n}M}%M$yvrclch%{jJtY zjm`KTYW9W?rajCg&;INy?weWY$4GVFobyveps$D42Zk1Rg4u4~0yj`pDXFHIJ zpeUx8!am>r&2ZkH6p2-$2<4?~=pq%Y7DilEzpU;Ti45 zzSSY6QaSm!1-nqxbr9?e?=$pCm3@s3OnIK zDAD=9EWnQy!Cv29-_c6e01S)|>0=WMZsKiWZ0;*{iBCSQjwk11MHn+48yK0r$$Ay} z0ax@fnd}8#ckHlb8M#qpFf7cbK>D0a1f{8kD1=7dw14|Q+u`4H+G)20+=)Z-p*2Ab&bGg@)D6;{$PfKe*e z=3Lg}7A%d16ZL*i7_%1D=>$7#0q-8J_SHLr$o6{SkCpe!OghTcXznk^P`WPBW<~w; zPZk@WDmm|BT|hotsE1Dm364f7Km z*;F^(poPN_26J9Ox6h&5QCKSZ!EcTK4IOC&{ZY|Voz4I4LD|gmZf*Ej@n;%gyh^g7 zvU$*@FzgZi=gE29=l6Ot+uL~;fkbL7w3_4UTpbzS8xawTNa}h7%v7H>Jj<;rrgqNW z4IGjW#cW6>4*W&#SJUkAf8b7fPRmV7%v)@`j1a~rllZCvX2aeIQhu0ejX~enLRD7YcuT_ zYM!xMnw_YuJF=S%i2yDLnT|rNA+y+ic|}1X0KaOH8Lt>c`)>{%nuqfa<_xI>{XF~ zCfDvr#Dc6nGn=@ZR_9+SDC?kD;A_=y^Zko29DMh1g#3Jd zC6H$vQhEr+CyU?+cR7RWzs-#h#|Yn{g#U?I(MmmApVDhwC22=sMFOC7huG8vnRo^wips-RKX!=NJuE5zB8!E(%Y=HaV?)kn1mEDzl!>e+Dk7kvntU>$ zTK%k~n9cFIe*S7{(^&kM{{d-xI$g>q0L*wC)pb1aV^@> z1U56YApT#m+erE>k3{>0*5d~0c zt;8TiL42uudlTs$>mcBNcCg%9-JFWlt{kwmP0@t~VqpB&?=xO)Qv#e4NLQTvy`@ftX{Ny>RZFh)mKS^r`+9Ht+gW>-j}v^P8rk6HOe7bKcq{7+LaTDG zQn3DL0}PE4=S?s*L44H(g{*Nt*Plj@8`g5PZmG59U~F54KL_xsL)@ z$R<#>;H|~rH)nret=AJ>3mWPangGvNoku~m-hM}UBxgi{HP*qTKC+}a?f(K+98 z2*|s5hDXkUu77A42S*x=fxrcx!%{o%;vHB2)3+ikt;Keynq=dt@OcE?FlzQQ`h7PvyKko$Vl$@4PPxm zY~*DR)3&6|4Kj8-HWMGd4cn>yns@RvOqoTKgG!~PR+IN_UxMZ=Vu(1Xy-!JF*5AZ_ z56J39BW9m~iD0=9()TxiabbO(Po59_AMYPq$2et?^lY$&9e^#>HJAw*%3 z^_}1Uh4Gj)Trb|bSpn}B)BjTkS6iCtGz@=Nwg^1MgLxbiMPZWlt!>xR1l?C94$9dH zPuEp!d^2##Wo{YO0>vK}g~l?Q1~!|S4i_}2LNJIbZt}sd2XsxLC%TnCB5{F!&~cS5 zJc6fjJf=YzIq&`K!n9&3D_3aDleBgDaM^(tPwijBQSM&3A=YSfx8&;gv|rFNFh+(e z5fote%XbeB_I)n6*=c2MvSuWWO3P~NNCE18y@C8O3Dw`Wabs%zAo#Ylia*ZaPO@m> zMio@#eIwH~pI_K*8U{@$CuOMlOzK>2Vp!LtMbD^Yg_B6P z2x~#`RtpWoIs8sfbj>Fz1dr_daYjhQD$L4H$cS-JRIw!k7`(tzS+qaC6 zX#_->311}8fx13HNHaVscguk&kBsadY-JYVscRce;8BehBJqu)VGXE-I$TMmmHitp zUfncH>s?${o!PreF${axSGXUw5xW{=xIN~5^I1P!zJP7p&SOo2t!@FJeX^D4MO%Q!1%qo3}Rn`KXQOZW4cqum^bcbvwP|)G0j!C2`C~uAo;%kzr)X4Ssw^{Q;QrM3$Z5Co5p_#3L#{y`M2_JH` z>4m~99OY*9?x727`UlA{{rrCn2$wHO%X)jL%P*pL zwIY#yCZf>#{k(u;e%r%;JeT{EGpX~bshmWF!(RDe4WW3kRR3L)J1)@(vLYfY&bJ~+ z@Bex5?{p9F8+jiK>k66+!;Ex^#bpc3-S|Fk8&s)tJ(!`3SKt$HvJfyIVqys$zE26? zU5?Fa=YjUm!KD6f2y+f_I??$!iSnW1JM!xa9EAv6*I0Mdo#F}8(dvvb@QrqbX&eRm z-+QaG7zsvoJK94nsiSwy@xIJq=vaM9GE_GI?1jW%yEZWLDX*{J{T=AbLSjKZ)vR(u z%lYa12nNzne3av$`Y|I1=fv@9tyad-DdqM#Oawe9I>Ht|6e7Jg#z{{3nmt|iwmBsL zvMvfD>C|Y+LeVgHFHEjByJ=Sax=BI(G)OWV9zbqI9kO)DTp1e+dhA#alSMitVc?*Wtc2uMR;m8-8|($n1h^=D_1yi`uI=m<3CSZ>%J80dOZHcoN_VY6d5=| ztK|~QLqMwI#zK(9IIf3B?~^*&wq8bbY9Pp}6eIm*n~hc7mX3*K@T>kMlU6)1IUi51YiI;*`nhEHHZX0|ty*S=j+6y!We?|=v&AT~UtZ411>qfiK$QX}yzh5D zU?_Ye`bEBUdpr3F1EJw@a*0?HeXg>I-m~k3hxoeV#xomXnlU8bVSrBYu0`h0kNJo0 ztNxsQVa$kOjP3fWAqT^%Z^Dt6P4;y#cQ3UPp&%V$H^k(>#?t4znJ`oRWahZPPm8^r zr&ByX+2?pRMhQ%Vavx7`9f>E)@=CeZ4}CH-6sRJuOi~~ht{R1lDyFUf%jy0Jb92$g zHa$51WQO?at=x5Y#(8tvwW?uOQWu0gbM_*2X`XVH-?@Fh;kvYK?V%*}3A2)>0}yE8 zrI%`}3*guRO_=^5fe2 z?svEmY*HJ!%cP}fc{&?8RKTm*A;lZHkm}+`B!7dlm4jB=m@WoAwm}+vL*izz5H4pb zA&`fIU`MZ{JOc@B?0Qij3&MuBJ&oMrncU>hWyTqJFXkp z%ZT&N09catP-P}Q`O=0MHlU9pY%@`?Xugii9Tc_o}SZ~j5hfgDQm<~x*Ym`m|;7}x_O`Z7dCkZI${ z!iuMx(W&CjfKzsJrv5Fpxd^S#3}u0p556PJn2;@p#e~aJ4ZkPj50}x zq47My*+;Ri5)+z+?pe@a4f~@|PkXt1zhs=1kICE{St_$k)*MH;NL}v2vR&w2(l&je zA74EHh2*bgLH6tn45)44goYmdP)pS@lb;^L`cxdetz^XfZ?fznx>uhIA%`&l5sw<8 zwU0yjk7DbDQZbS^>05LIS-p5UPg`Y>gV*sye;R(LsYhaAWi-XLg+1&PFIcQ^E5m>L zuAkFP9yt!F7-5u=0c+}T(TA|8=Q(O*!T+Z+3K zK(X~`Al{!7oA)1j=>0>q%CK)~+_!r5+tBDWEBi~?6-Y!VCc1HQ^Zv+0&Zf@#uhVRr z*dq$`YCqW@<_;f?SY1NLGnyl+kHFCxwXxWU^6Q=&Mkm-vOXr{~i{%w1Z8jgcEO&F# z_Ca~sm+IXHtWLJ2Xox&h6`6sq1?v6~bk*fj$6}2%ZK3B`QIj6%Sj1*>sKeA~yr z>Izn1!^y&LBhF|dB3LO`h=?&;x_E;HQ)y^1jgVH25CA=lYuu{pC(d$@kI2MAlQeC{F5}Ss zOMYaA2rvD=KXpPV; z6UdHpTt}c(qd;t!5l6dfi9_AA{M;Z|2DQCMnL z)Qkp>=sr^!G2k$#y1H4jFpf8nK9zX6j0TFWM#FM*mx&!q$@}cb*(-N30jADIEWpNTh9`C4Abi9|D)JW$}0_`zqs9<``5RXaWU zHl_?bH@P!@ekX8oDL$|;)8+E!Zhc5!$EOIL>jrS%<5#dawB$GSC5do9Pn+Er^+jP( z$Ujeg;=0%p@7=m-f$ChV60ANbCID1*3pCRZZ`O~WwC zVHS1C)PN+If`DV3n#_VtjgQ|7Zg{?YU6frIk47db@{j?V^ZJelSi-AO$ix~gwL#iL zTVSSf>I-f)W9acxRv{UtL-|pT29do)q5CQde|iD1i88Dd0L##QbZoI_zrj&)!BxT0 zrNJi@B`;X&3I403mF2u(xvbfsh}si{WBIwCF>m2?*kuEe$AR(^aq+F#8C<|4Affi} zFSG&3(pM~2;2mM9@yXz=>oZSFgcapXt0I~tcM75caSzQofIJKhMwuM^e>9zCP@8SE zwUgj(0fKvREfj~~?(PIAUK~nsibK&ti#rr|C{nygk>c)F+}*#t=X_`8naQtAW-`g% z_r3Po*J=+sLTG?ohY%G6)H{&1fl7?19fGROz@5G&YFAvbDIX>U2=(mZzK4C54oDOm z7*fM&6Z6^rdj^3HsO!@feOH_%v0R`Q7$`u!{ti;-xASwyu+{Leb8;KYvqSI-5z1#i z;V(hHPCFp57i$7kM*ltM{gA8Ac&9>q$-!0gN0gY8Vs|JWHLi3gXyZreUWZJM0%aPM zR;{9Qv#@WsN)mwE3q7VU%@!(uQ}?O?;{kSTOACBa&ElliJryWBl-i+m|IoHsVZsR z;Bw$C_y07lS_39@LM449`mEy5>Wzv>A;(0H{6KQU?23TUyvKHkKm##C#Er$-AXD~B zm|l(FGl!FDbEt#!3m`3Q)LGgyy2qXrjtBns<7D#$C1-Op=NaoJTPWJHI*>%pR0vB( zD~pWpsY7Q2ys2>bb2Xo_vf3=7u_5$fNO53{<@p)4{Y6L;&PY#9rCthNU9EJ+<`(JR zxFukk!2ZJp(O_vb6mXeHG&_E@=)(%I5KDAHkCl=VW<^f>ha5RmF~|Kgvv+#UFSKu8 zu<)NQYLLRNhVuIfM@JBIGrt};+};kJ#OB@75aIGe_5*TybkYQoATXLe9Glohq7tK zB`a1A+;V-BZzDNA;C3|mXX>CY`UX;Xy(h+HQ(zc|nCo#)`|tHG{%40S35mpZ#+vlr zk%49y2}S#>exRvjQb}jFU(&xZ_-^xjRV9!ZP7)-zax>d9X#p+&Qt-!6&w-~2F^`E< z3|ah-)zD+>R0q+*m+NLEFaqkx2^aVLD^^>Y_iZw;Fb>_RHVR%Jmf*tN*6)S2&-NZQ z@ylSB$W2#;f90)I8^KbjIOLL6XQ=(zFGyD3sx9yTA;GE11Vtk~@YT)#^=(*xLU;Hm z-ZdH%7{1#6qh@#h5F&JeZ`F7GF`u4tZ~gP7KmY1JvjgrjuDDE?_{=F-s-^@snw@VI3Dqmg0E@Q6UQ*wW>FBQ8dP2 z$rl5rqc`nd`SN^dsYwh_cynqx@cb|1t&l znSIB{Bd%E>rRM@LjZKctRe_2`a^D2sX;sQRufC-fN2Kp{89pF1_eW?A+ubNms>sN41aAGF!b%tMGyMG^S`|lef7Fly_48XOF#+ z(wmW2u{7{4Y}qlOe768DWRWDYCJ+5mPm<8u)m;aI1eO2gM*{r{P$Nvhzb%7DCKkj3 z`!(Q;(8(n=;^xtPl5(_{ci1+rVQXgaBKg^HIYQWv<>0$041@eX>yGYTL` zgsSiy{)|Y?Qz8OZoQT@)%UC_BD!io$#&LkB;9Nk$r%-nh)v&Cc_nM&6nLV4^wh6P! z$&VMGTJ>$(=sD=c|Dg`};>F$m*VVB7_64$^`{uYl+M$2lUF{v|D=$fDs$Q9|IglS? zrxX48<#*#!>cdIIo_I3~N~a(GfY~e0=GG%k3p=HdG~5RU<}`+G^n|hJG=%3<-%To^ z`dyd*cMWTRpOB@b&h{Qc2vZknNOIzT1^glTKQBOk7>4f&l=uDdAGm?6Gf<>#wOp_d1>7t-OF!@;We>WaItjN97U1#8{|tmMo0 zh+F;;zYAPhH8u0GKfRGyw=}p|&~sm48dwU9%m}$*N+Fj)<1l~g*o`E^aq(R-&S%8Q zFeCL1;k(OEa(_Z*v>qNQ_&^55V;8&2H}9U@mYN~q1$R?Uy}kBtDtNT2g>@BU!!He9 z3NqbG7mjS_iXQwTf5ANfaM|za<+K346;8HRt*UCVgYyDNQ4{YQKYigy)<+S)mkmLG z{Xi-N22xX07B}K!e|V>3|LWpbHxP|Taa^7i za1u_{uh5Yx)^r7wt4EsRltF(3bn>95#rs!M9CDmL8}W&6SGu3^FokNcd-awXvn~)^ z9x&<^Hl=K0NI%GZC8V+c)&1&4Ly zC<}eq2yod&WA$s^pbppd{;<;lH{nYe{u-6-4HoeZa9bMQnI(5Ujkq1v)v73)T2itc z-ZHM76v{hPeTlqo%~maV_cr9*+5-FA1kLUp%XeUOCiWA@p7nW))a=8l+|E63@Ik|n%_ z26dh+|FPQh>t90JvpG5UFrszk5Uqg!Z)DnhzO0=xVKtTy-1&K6J0p~qX=x2+38Ng| ze87Ais?JRu&U0%C+01U%MeBSK@`LBXEVX^thG}1SSLuiyq9O*-$(4+W-32``f2DyV z)_|&+x#yi8XsKDA(5Y2Z&E!uIrJrM;_5x0eJIjfvMzIe6yRfa?J%ZEmdd}{K&%(D- zeQwt*4pv^>hsTJM-rikhiA#9xAglUseKb5yZdOlFi}d9f18(?d0V4*$9WLbXC$XCj zB5=k)?sG$&nAsK@_Qzd6ttHZ@(&IHY@_#HF?o7qI3980Y76)x`%ZBvR`uE!1yTfVX zit!pkuvWEDG+xS8yP5&Y*59eMHYB}4(sltqe`xc+dG?mzubcSK!avrG3Y|Db%EaLL zzX)AJ1BJ#suL!x$ndT*xaqZ2LNJEn>gc-6O($Od?FubD5t{g4kc)oS$%KVuZwYbz; zfuW}iogtePh?xLTC{cIn!o_;1Fe&I*P^Vo)Od=7GU7ws}pmxuoPRx6&8d%$d*~x!{ zhe;O}yskn0LI`IoQuCF*E)@S6!CP;*;|S&r6Sh$PzQ3aERM4AYRfGs&T75iBQY>Rg zQoN`BRAP&rNM#u5XqpUYzoP8gqe~$XmE9^tvLmbI{!tw>Y-NYqZb_gB`c7uW zRMQgzqRSwuf4l^VE?Oer;`al0AP@KFzp|Z@UIL|LU6XQGS=~Q`s=vQ|#X0*!g;2_h zxZ}b^V}8a*eFt8UU$C={72@qfK+L}asYhU9;Il2@5CknGt2@XK{;*Co{T1zZfgPO| zM$!9i3F|-DNQqe2!k)rkNeyk=GN8((#1!UUFlDHPFD{u#H1t#=^d?)<{48qp^@e=} zSpVwkTgDZDi%I~<1*+4SL(U)Bfsk(Z zo4iiAp8qrA;=@*U%s-}J`X9EU1`nzKOnpz9Q%(TTy8X~j z&Mny&uB?KqT=kF^m1D|)xFfXhVqT8RvK{o$`7!ThDjOG75n6#7GVy@_Ldzy%k3(VO zDgh=xeiYRku#~~$oHZJz6qs^;K5C4Y-qRd2!-=BYke%S>#0lz1_JNjg~wC;KF{$Zig?7ld$b^%tDGG| z{~t>9i%8jAb+4g;gy_P3{O?%C%FY|UJro>C67pZ2EF&R^;u=*Lua-Gu!KBT5gH5K|zA!Y8~u;-D7>E0LIzU+6mY6w_mB0C5?I+MtHU6g>TP`P_zjDkg^P z)Jz4zU+=K}X=&jd{+PGms56h7@TGzY6&p+9esoRxo-q)A9}Z>uWRLEZ2XKG^_r+h` z^lmIuN$>*M92zUaY#xwe1_R zx2_rS^J$E*2z;MZlqQ*bYlg1EMXfo>;;a`Z~0qfSDIqa2`YU&M+9(P~K zeaxsT?myk(P)hIZ|HwOCKxpiwN@6SUzUTSRuW6(W`(inO>vuh~f@0o8a3bdT&W^*S zs)dF`_v?n=#xGB!HapUG9BfVTR(D2nFKQm-U-~lT6W)IRUCl(Q_3cW&`Y7iC_Jq=d z0g6*o`meXIlqr7{;NScBmg~A+08$c}CWv`Htn*$a)Xbmop*uufPBvGX)=U|9_9`=5Aw@b;{9wlsPQpHn<(~E>mkdby>%3ZT~AgR&FHf zT%8C;eXV|ZD~&whdhZ-a+~{UKH8vN0nEJep1+I_zAKmfgM*xu~3{U?Bk2$UcSl5V( zEf`Ih<2o1}XFkUCS+pP$TNKW}sxC-2_`Ny3q~Gj?y^wOuq$~i_xg4xAmh-wsPO7JZ z{oCr4cD#e!#06rV`=Esrb%|D5KV~h{GV`U%0J42^>U1eXlDNfnIGozL<}jvjqk1f5 z=Ghp8!KEf)avbQSG@wt(yKqYv%eyLL8l$K@EsjG9y+S8Y`JAnIFpxSRyvfLrV2DHk z*j+>Vr5yKb43&YE9{ zpdrv;!??wiR++xW!2r@N)d8j$|DOvb%LV9`L`KIAzx)B|9$&&3fL-vsWQkG1n__lA zDpxQ>HWIz4?qA&(%~R2L$l;_--f3`p#IL!y()1#~CYHE%Rjqke*Ti;;Bn^Mb_6;sV z2MndI<=f!kty>oUnlJ^Y;G4Nu`f=Y>0G8I5h@HIJ(xo7FgkZETBZQ}|p2Z)M1Dvcu zav(?7Sbdf8)62JosT$4hufOaJZw)!yLQ>v~pg(79ki;v#&PrMh7v2JVl5>IadL@75 zRWlSFx*o88xExb~(bXy3iZk(#^>Lpy2ruP=tUT8Jf@lYRKhyT9vG8NclHdvH($P=5 zX=`xlk@L|QeB6<4=Mz8B8It)JppP^ZKbhVfpNlrATzuS%Y*h`PNXP5bVL(m0ta*0h z^aHPOgFo(*7=9c9l{%1U*c;iAG`~2@0~rF_JimOQG2gZUt^olovF#QKeQ|hs%agx? z@WTGr(oxp|Q=3T;;c{R|Ey5fz1i}~38r_f=QkdaTnE%X+9D*T|Ze;gYfQcHF)F!lg zT@ZB_797dq4^nxh)D}gYp$ehgV_-<@Ed-pzjyW!kW)S(S^NCz_OjR>%>Qs(mLh_+|0A zGJP)7M-?o=o+pPyfv>~^wDvzOwpwi*7^9s$EZhEn&q7}EwVdmHZlbvnncI_1Jp)wCejP_OK#)dJBMH zb^)P5^iYk>UV4ULH|0O^(%*L2_391_Gn40v7Ckeq_*Fkt*4+rz*6%DxA1KFpEcK-7d_}h7_6z{!XY>vuN;$T2q@VBkOCAnI$wX%#yPVHQDF?5 z0Lszp^@uE&qHEpsxC;7u)2YM^IFWz6kOK@D=q_X3m^3=IJQ-my4!ormnSz_1FCem1 z8KI6w-p{YT6xGl0q=cL_Id|5kcNx<8oG}x5QRkK@2^7at`NARkdg$kl=+UGt zo~m?*nQwZ6FkeT8Ah5w8veHccrqZDukWsSo8{3j5DL#N`1lbZy2cjEg&hX9W`Jcc2 zyO4j3Mzx_pNJl4ON&o26HSO}Ca|EsOrL}s0ogn}V4eICtmJJl&^u6g~Pg&P3cX1OG zP*N(%7K;sAds49q-2Xm)-Nz|u&kG_WpsuM-&%!bl_rpNIE>n!Rv5onVv)CPOv_pr9 za<1Pi{`RVy8XMv5lkc5k-r3FUu(0?y8YU;hh#5)!tXy@}5GIxmGo z<9fwp)eH5zb+XNQBv*ukzaJLr6J)Y5U)noS1QSuUVIAjK+N#;1%X28qlyaMIb6Rcz zBf1v@=49jOBwL){#m+w_oUFu91#IQeiu+pk4m?za z?WFOa^(tcbIWW4~&e4=~pfQW8V*Rkajr#!JtHr$1M_veK_P`SV5>+4`zd0#m{5qkO zD*Sp;3>{aQxEg2T%+)Z3!d}>jIQ?BOiV<~Y0vr_R2~g-_)HNuX*GBLpp$?KB z0qwAV%w|iyVoMOTn(moP6;^3G=ASr*BnvaBPwsVRVH9s0k@?0U6Z7_rk|MYoo*=#Wu547M%vM| zzwg`CiVgia$^d!c39ggvCT7g3v*QFEADa`R+*v&6CT^D3QSfNt2yC^|X@kV%VudH(8`kIh8r z2Y&MUiW)ovNFa(fKmgKP>g|gR51CvOYI<*6hJT}$f5S5SXN05fnbnjo=FMGje$qFv zu5~-F-U&QQeFa@%(O9&&51C74jX8}WkBeb8LmmtXyg4bKKi*d71$`r=Xnvr`?T`+f zdux>jK7OzTNo4K)7R4@Y8Lc{`GrLn9K0STeUwhs2zh8=q-CE=WiS-Zcm)%p%Svsd% z9o9BT3(6PmMf=I11(A%=U59698!fRN*VK@`L9ZWX`n$t*88VeBcK(K=qbW|Oi->L^ zMN%Y>#$ede{F+BrT^6J|tfRd6@+?mw-cgKRZ&}@dT^`_4&}52}-VjH?TSABDouF>; zSL(vJaME?YBee7G<64hH-~+|)eA0k_dVxfbRBJd4`Rhf2m-wr`*P`3Rmp@nIJtbpE zAYwdG=LK32L7u1=|E)+Ht;qLZ<*%%8CmL}$a}Es(?gDZTda$0jQ2SI2khP4zlh!&a z^nMe^lnzZX>iI^F`L1SBK^Q;~ZhlgfA}5^NEBZESV-W~JZiMjM)ev$*)a|Nqnp`&hcu6HHL&cvOdS%ErUfmnS-(l^qV#dH9EVYn^mjI?e^y{r>_I%BKwCUfF1XDii<;sR+ z%6CD?LfTr<;c?MIyod~>NPbk;O5e>ZD{}2139YTUg;VN0X<5LoW!2C;nQY5OLzj+= z=ULB0ouZz+!$OaNZyv(k`1>3Y&Pyd77wFM&-{Hu|wXnsxh!OWOnon0u>yIwqzQb0U zfxdQV?Phl%_^oC7&~r~qOFbf7j2x*gi?omS?BVdrl%ITStLv-Uq~U{QLQD+YgY$a* zv}Sf2_?YdF+4(X=^>Q~Y&1kskQZWUa{(pW7GNg zx<2{m)q8k=td>nS{AOzpqcd*0Lrsc@2gf+uxGmTaM%1`T{>?fdXkni~zxi(QgY#Hq zG4A1FnDQ+o{BeMLl0Qzml}gk8OZrs>das_r>9*|yuw>IfVrv3y&lAVY#wp#auA%Uy zhfQN@X%O@*hkBsz9pi{%j1h#xWbu^U92rr45Fb(1ziYj%>L6XkY&jpyo_LCy5?p4x zPAnOXkYqd3k5p)m3sE-$CDBdqHHL1+X#EHmUm{>m2OuD#f&f10>5c4wFO*%J(LSf_ z6e6&hqXoo>J5zv6=y57(c`&}ZuRLC!bpd{mwpoz~G~dVeU5L+yI;OqH07}qykh*{d zs*8F7@T?}q_zs(*zBtHA1jEH3?8lqrFOmr(UU_LoVTI_8B)VD?2-j(m67Q6gkRhUo z#kQhX;_VR^)a5-V6&Xk0t&kju)Qkz-q^J8uJ92v(fB$loyoODj>ZbjRwbAmg;nRXN z+dg=->CBgREh|BYs5Z-j4N~0h!9ZF?0>b5r{57p!=3-X89zaS5>e%CP0 zly!xXcI+0A#Mqo| z{Pkd<3fIc!pB=^d3e;6Tsn58YR$T-1?0=^K;-1mp%WRSw@N4VF&C)7xcXLYD{!1O_ zJcUHd?bE55N)wj(EPlC#66}r5oU-#5r6#W;$=~dCBi{PMG7HOPSD!Qf^sm!;@qn#U zX{F`ZQ$-;~Zg_cvt2zlnUtoyu-ZZJixJeniatSGp&Sp6>)JWKBAUuDy+{+>FJ$zNp1dirKbgpzD4kL!Zs~MG%Jx-NJNF74e7JO#YDdBZPQN& z10nF-No3^p^Gt$Idhjsbo2zjQ-V9qs{05UY+=ZVwd&dlXsVHbc2AnlGGAUv7PceMtc1lsj9Q{FW_{Vaa#l~0hhC(TGXm_SI_ z-bOhvG4^u0M=JP5Ywd~0xV&j&Yt#q+woJ(#qs|Dq6tFB#hfBTZICgv_kxVOG*LqQ? zlMs3m1QY$WwEKr;?0y8pNdWn!#<{iGmA>_a`5GRdN%L3ogDDs>5`>XP ztx~$!0FgH zg{VcuB$4rn?YeWoE^=f|0xP?L+uM5CdE|&Wd~D>A1HrDciTM$be?Sup`$*5MDI*f* z3;nvNiXyR7+C}ZIO;A+Vv!ed1xE%l=P$8SsuC3 z9&W;mvxLX-uobO_8kS0${K7t#L@+$^|6N}Y`7xH}?HMi)0uIfLFpzGw(S7W+4m1dQ zcWvNbE`7ZdbD2n|{p%g6^b`sUzb*U3*V{mq=NieRP|{g)^=8GOH_#h5P3aO7gTe*` z#QU$wSp4^i7;WeyS@gq7f*?%)%!>vO ztXO7Tcrs?=5A2I_oQ0n~rtApx)t0LDp)P?AU1Xr|D2%K|#X-sPbWJ=ik?t!*+y_7> z_XY{@RXSf7fsSzP)4dTKfk{;G&%RO?DqlHkpVwQ{E1PGBhz>#iz)G}qe@0RsSks8Z zx?Z!Xo-rDiq?q?kG46B^Cf2%x9`J@0G=)Buy=K3Q345bNIvP;5E%slw0G! z(Oi!8gjK%OHPX?tXdWeztcnIL7`X$)=*a}V)Fof$R#3PZ0YmVhjiD%l5-0QB`35$9 zy=r(`I*eQx`Dg*b&JpwAfJMDrLKAHMDb20FOzYNOrQHmc-c_pAwKEJHN&hqMqgkr% zpCzUuP9@xQIritj(gMF|QjnE)pdAGsoYF4Tqc{g{<>WQry@bbKi=Zg!t@URF-W)QG zJl_i3{o#~|@{2qup|XHPQNkZ9{2%n-PIO z=sScXD*_R}Z(kw3kK$1i5oXd}E(hJi8qMdZfB?<~Wp5%0?xMr#wmlxJ`TRoAXlXIpoFy2n>55c)JzH}}LzmVcNK zYoI=jFhd(r3D$kK`fP3KJ$eEQ@F_#bTtMbn>b)=J8bgp|(%?5%3tY#dA0>$-$Jj?- zPh>mv?JU~4hJ&<_%P=H^VR6$C`^#zNYvnEug2IhR-=81>hAs|(ssHnF_?GUt@-gX5 z|71Dh4?6{rT?74S`w{qA^itiW+7@bkusR~KhEa;lhnnnO31tZXQ0vDCAOouapy)dj zW;PwEmjHSw6|T7!Rgl=G((=y#c>y%&uyc!pc5Z`bh8sjh2}c;{+|^P_c_IP4acENq>w55h=XrpDZC|O{cV4FO25b*ubRI~Un^e}k-gs+ zt;9%#A-QBR--AwFQ0a=Gf#fk#fY%#aJsU|;&xoCZ0HIL-+ujdX!}oRctYedx6+ABY zONbcny;j<h~k z{z4%#w3%f8)3kC-pOe$1SQp*|pGWLXfkOk86bhru`W=COTE~}7;IJ)h9Xy*IWZKOT>;UYRU)AMMAa3SR=NI{Yb> zh^z8iHKp6tW!cTbO`JbWn~HuU+_qdE*JlY#23G0i{j(IYd4 ztFzA4c)!Q1|8C9gYe(e%{U7eJs^#_>eSf?P?Cy-duGc@(vnT=Ao=ccpjvomD8#Aot z14=I{j4$;jVF#e=k_lA_&2Z_nFz@|+z+FM^E}rg&$;e9@+)fli1AG6q20g9{976GZyJF|Z{&}IiBc6(Mk%j@GP zqWWrPg7w0o5bUNZEZsY)R{MXJ^-wh>gyfdjaJ_HyIJfYZuS0Idl7MX zM1ZLk$=+eXr&-6zcLF%SMim)KQoKa~4qnYFg&AW7SCdLi?N|6Cm%H%b>RuC*-C?GL zEX#j=#EDNMHo2#ZNFS`|Q>7XW&5Z^={n=$kNyC(oqT;(wbtAdkzzJSh=rVP1#Pr_A z8|sBuz8=ud<|h0w^yFGr5U)uIFL$aQ`2@FYU%ZL?aRP~=j!;)0W7fK7rq<@SCse@1 zV_PFX1F8CUl)R6A1i0_=4m;5$N5)CdG2xpO3}RFK9t_?p`B!b}^{|vGeEWTHEN5x< zhP?jE=H@3b@sC=cEnaKYXA=0I4rX;A5RUT;s<$p~+fr9Pt<8Hm9qMuLp-BKAR2F<3 zBw}B4&%u|OpU+Kkym((TpxeWS;1vbtsHm$sb^$ryh+i$Jq3_CtRwVHy;nS4Ultc72 z{$Tr>G zN5QD(@X_ht>;wfnYXQVra&bUDU%RNxwtF}bRD^><{9uAJ;I3pXYV~3vrS%cr zJd#cc{vW?yUfsp%2Njht2um$JpT8Gk)VcT|YM||G-&i&~G^pFL*h+G$%)Q93@mCW-{Pa(o5 z8BClN<}XK>9PKaIrmsUeTU{7b1KEu6=CAH@r;p!xF{bpmd>`}s5=4s6hjK5itOp=6VS>W60C_4 zADeN885sFgvcSfZ^8jx6qrmnwL6vv0=l}?MxW9}n)ExA`E{}vKCjN)m4!3|LD1Rkg zg0<1)@-Z%x+t`M}aQ{;9yTkpldK4Rd-a;EFc?rVb z_l#ries|c`HP^2HbU6=^hH-T_G23kH`cR5;V7}ohfoF6J0CLM?E@&05j{7Dx0n3G& z-5qWe5r=O?yk4H)!OC!uf)?7z`lrDSqQ2(J%3bqq#L@H;$hmL6s^@FS*I`B-=Ude3 z=Js7O>BULyI+)-bG#D5Axu`DAeUqmLyzlXHx^?rv@lTh-tmew?r^c+#FsAa$oS&_n z0Q~z`qHA?;y(EV$`tYzfRB2r0`4_JEiRpL81ZPm>XKKP%%(PWAq5C`EVQbAm8?PoA z!f>hRz68G$L92k1-NC=ER-s4agbV_^2b%}VDh0*{M5Co{X#rK*pBwiJ@+skQF;Ha= z;))_1QABbfY0G5#^*@Zk^)|s6#I_yA?TYSudm8C_I6m0_SCJXuWwxW6+3%=!ELZ8= z<)0kmy3lNRymK-!*JbbPm!Sh4k%zCZtl>A}KkLQ$ooV1>j@Cr!H>7g#u*y{rP*_U* z#=|ug40euBdOi8BX;!-6SCH%{VAy@Ve)E;k-_94pFXZ09XW#7Qg?l#@d+LB$sil-w{DWo)2vmK&kjdhS8x0W z2z>iiz&|x%lce+njAt88yw{^V%)a^-6<#6zf4M>&kjmJz1^%T2yl6ER1K09oD|GUW zv`W^!v3HQfikMe%uEZr9%~OKzf0j0lz>^1&r0b_E9Jj+h=w;tn9{YYT4zdVsPu@l4 z`-a@joh11w35kiW98vXmX#SUqiM4d>6(fevMkAl+&5VLL;~<^HU0iq}{bYD+RMMC} zCTf2FTtASO6@m=IsY&P<9BX+Bq3UKJmij`TEdywi>SM-UQUCL#QP%-4E?y2Ds~+k& zGhCjt4Tq7mHNU)m=l^Vth&b+FtpiUF0W+i7?}FM?&G z0BsLEJL&E*#rniPh)~Atx3|Py_u>FuH9YO#uq$BiD{f>Qa9BM5*j6F;6?MkhKPB#m zR?+iLg3iPp_FSaTF4v4K%nW5@I7k#B^%UVB?>Z5n6XZ?EWQrE8_ZjaRxFIle75u_v z?!aTb67ls-am6@bh)BIQxD0FiCkK6JyRA>5)fDPnd}vV`e=ey)i4Q(r*7W^BR)8L^BMmc#)Vx;d0k7?? zLO{OkeoLBb?kS)&XuG&nHj^~yP1Y?We{vHzLUOv2HpHAQwVS-DW5}3AD&aRlnR|wV9n2UhDxzpGt`(r znMyYX!uTOi;e0}$_45&1^iJ@jIQCOO5WvD{ zNi*2CwyyQwAYFan4S5A3ln@oW4^-|kDdn&n)#$si}3s2uq0Y3%(7`rF}3q{Q!bw@sWAVXt1VNk#H` zqjk@T_cQA)A(E|jP&tPTjPYIHH{+wI-_Ynt5LM693i1&qDC^RMT(Yf{_rMjzH7p7NUv%3p3Z2|eh zfKsndIdooU)bvgL8xOEPQr&oQmI|ky*iUms#e7R1+~!40 zK<(aWF+a;1TRNly!%9B><8ft3IQkqKF1cm6qBkbYm$C}hQ~?|8_6*srL=mjn8C@pN zD)6I%kkY;fn>de-^?)cM3}gQp1_r|K9RqO=RJKSFO#m&v_at5%D2GFY+G<&?4uCIW z+`tcGlzRjOkraX;!L-mM)#_j_JcIDxdwnyb2G=$e$A@A*V*t z8Qi5`jjTtZGoDt0H4#(SZ5W%b@T{q6N6im~Q`)bX`mV8|b1jm=tL4*&4P#PLSD7yC z7w#=iSaj;M8+;FAhvV+ z)l$hehw~kHuFB%&`7~d{uq)Umknl0*VFzVa70pX$9(6>bZYa{1?{}MA0!0Agv)rrj zbOt(+&1%=t6&jnd-v^_Nn@nVu77}f@w@e(ST_Z-XNDJKv5HS~WI<0}z&dIn_G~sB! z@z5(oK<_v3xoNAR$gGMz0etH->qmIzH&8egN|MyH_AJ4)w6Tzs%B4Jb@Fee;Pxp^k zaR(^b!(LGiv-PtmNBYL?RDKW;(k6LpO=ElY=mhAJXQ5UCq5=VRswxdv5c9%Pv{Ht_ zd|+;-$0^-eAxm!L5J=smxcp&8V8QSzPHSuKXQ_c*%Koc$VzOK&vZ&caNlSG}kK!Ap zvoKN|N6Xoe*n{%m%2vIBgpYAU<(%1~?;K64dd7q}Yv-Mfks z3oEoZEOZh+0CxaHt74rqr?ZQVq@11(U==y%s<|neDowiI3)_2 zB9V|n`bm8v07^M2U+D?GU~`_r<20CP(oclWl^R~s3o?2qQtd{py6+UI60a5RRBtymnle-Z3WUu!Ppasya z$`MU}?&b9bZL+AZBA*=sak(GDNx{GtoJ%olz2j$v& zQgU{b^<`l3xj|fY%R&W>er~jHO7OrXBQwI?av6=U;p#>EwBD?%zNb2EJ+(L4@4x-U z^CAo)&kV^ou@GJ85mUqmMA?hCMRfgIMS$9U%T2wWw%kO($==M^9T!T>$>YmCMIEot zu{UpbmFJ<@-C!)y)h!P0n@T?HF2Gs66P}2AgitUQ6J*V+-ig)JNyeH^74}bc0r>Ko z7m}4VFB!iV3~+F0*4w(c*etRy)7m??hh4yh%#It8%Y~*$Sti$BI^L z`uAZbc+N812rzzI#F_W# z{Q5z@R{!v@CP}rOa$YA424C+-K#e1QjqNlx;Jmx5)4^cXJ>#|Smh-Cf z?`BBjD@PP)(}dS004hyE)Nb+x>qtO&YL9aRAivS)KnP~nKCJY; z(K^O$tsSDdiR_8`CU$g6^c`U|rPu$^s^6BE^Ts)T%ViP^bZjtdRXq!-BJl2GF~QUc za|pXlsr=THfQewTRBN|n!CU-8>r5m`Mkwua}qq84JF|#rp-IJ`pTe!-_BU%a>C%=g!1f z{Bp8?%-M%&B&W|e@Lu@8*8R0`p(T?d#^j%twv#52wDw^>v8#b)lP^NNgs8Q5b8lmRBc2;S*Av z7Ur9!qht{u-@==OXJ{I+ioCF`B&iA1O?qC_3gm!hfE2xX;8PDpXY`K0Rvp?>RCTzZTAf`!ot)OqXOiKh^}=el)*Qg)`9?Y5#7(VGH-d2 z_DDWckqT;#u6KA@1i7U^a*+#(aG=pH@^!Wy@0mK&xN|k=)$={Fy723vSc4_DBE|g@ zL~kw3;4)HKGDyC^YO=Os2a%cp4g4M)!j?Yn80O>0U&CM#Lng}Zw#G?1M#}dxr_JZ_ z*-km{X=+e|F3n-UlJ#rH`usgn%@v(JR2I|x48rHw=zU0d|A*!?^S7}nAKt*|1Isfe zgB5vv=E!C*z@KEBz5p;%sMZ_Q@C{_M`CD&}S#3W*qo)c~E?LQ#8NvvgNlQ_FZ{sPP zX-mIHYa|FAYlV+?-Vt3;^Z_m3!O~pn2qIt2HE(WTXcD>^8y-W~n?;<$S>Wn1dN7Z! z20#In#H}Y2%Q5~goiJT%N6F($^weSePf^IX+IRYER_7#2Q5ybi#Z0?;t^1x|+xi4} zJTQ~lX7t@Y|7Q)F)(3Ql5*n1v1%C{{Xueqs>eoDUh<{}}8+?`2Rm-d&ak4k$%zE<( z`2oBVlXi&ve^k9?P@8Skt{ohLQ#3e*;#ypT7I%VsDQ?9*P~6?2xVuYnErsI69SX(W zW#@VKyT6%l=KjM!1}3@gYpvrv&MH;q!~s_W!>GCRe%tt2RQy2UEGQo%&0NGYpk%v! z=v+|>o|ZH|70!e3oDHx}wmG>0f=<%|cBsKwh(LwjXHxJ5$m9XKx4PSgjLOrPKm@HP z3Op94;ziVt9cVssssbL%pt%pHM3v-&e)7;|Xiidme!Qhgk?phUhzC`2vpY0M9To~u9^nF_0StWbxV~}V z@%boj`UaoC*MaTl`abCl@5J7ZB9cs0Ra5g_arj}!HmdZ^WaXoE^XgKinNe=D-sDFe zE?W8eLtoBxy-N;!e=G@DF;jm!5Vk0?HauFEG|~SjSl#|50l>#9exz-4JRtOGW1mv2Q#%r9}n^~PKGH4xmnMK1~(6Znr$3&+BrjW|K#i(WZV@h9td zhPS1iEc~GAaW^pmCs$B{GQfq7K1WruvKfhN&p#lz^yfg^2z#b8uypxSX;-O5!hO`&G`{8mEBO1)mRt7 zRQTyPXc>?^<$(MC8sVe3W9bVWIq4PoRkfNTrXh_ibK=VshEc5-dBp1KkH5oi&GI8_+}11u1J~a99}0K{BTtPV=?;AE%uZp( zR2bu%?{_22z3zo_W&Fxj6-6}t#@r*(!ukAIb>Da7zL>~Fwz`U4nNTDd?9G3M5qW;0 zHcw?K{9zz(pD&A>O%B*X-XdidMb+}%tc)Rn3i`gPtbx2OzbjOyzM!u&pIvhG zahH(vW@Qo{6G?LAqV(v6`0N2yt0j0bDjKJ5yUcK5x3gNk5d0X4SQ*?k*og0(!}nK^ zaqU2>z2`iW?~2T9g9$6k)E#poB4buaix1!Kx)H-aS3s|;8&WMSLPTbyi-w=StYz8) zuWZlL=1=_Bq_;w+=*5Z`0UBZd?X!T67zv&=$^~)!R)_gitZ9D?O9Jt|Sqh%fr~8(r zbn-BK;Yex076b(D-0ECrPu4i8GKWjAAlpnOLCcUprk2Sa7f6@#15jTjB>(q{u#qj3 zyYY)np4kYYsXgw$Bgwx+{&3|g{&IC$MRxh8QNSIHV0R@EFSW$DAM}}p97F+^hfr$N~K!SS^|gv zh`ez1Qv|Z7e{TqWofI4GCW?iC7Nc12_qVmsgR16^rDoHYQm`I+ZGXvY0fNcQt54&fW?Xpv{#&nTs* z4zJ@4s`8^qN+t{VPGL$h52+uDD7Y&LOx6BnA~Gk}sGT@<9sJ7@4 z(S^94(f^_fCC&DB(t2HH{cM^Kg8%)mWW~KY$Ttq;^@X|)Y^G3Fhm?4Rm?v4q4j@0q zEAP@wgS&?wsVb|Re@?)k!0F9%*zrrVnNpfmW$U2-x0vjJBQ?#Sx}&Co@Dpy@^B8M0 zI=HT?UY;wF0-@mf&7DWxMeeXvea3gj)tDukFoDBf z)UwfQjFhDP0~DyMjxR`}nYt8MW*1Sy9Fz)BRoROF4BF^@pFH^h8)@37GVs}LeNI7| zqsr{V*af&g+oA9Y{Q78+2dpfe?sZkckPsGw2xg@y+S)u_x?WWs%7OXXO zJ*U{$a_VET%C+88&3i0}o08DllzE0Aue)0Ha8Z_C=pezDgV0^=CXm!~If?#tbG9}w z+%0A5`}%W+$TKwJM&45x5l%&t6+6o$LZ>lZDf6D@jMOvbl%_7^PLNX90m^w;Wr)S~@S~Ty>aH9Ly_A=Cktm0x0HL1JV&WuoClh5g)$K1111X{#2rHQg`r&fRmM&Gx#Wa ztJwK8t7=_#nD=R5Byf5XP)|)ID&eA(m8oO?eNl=%P`#mrZKx(>C1T2^ zv*rdFLo z*r%Tlgz)DgY=O++eEvC|;_u8?h?Fwidi(w0{WWzw=R-sn{Mu>Js?OX&eba%HV3wlr z{xM5%oeasg@H`AefmDo78~ijbS(rR7FgTIANq%JFc=`aRf{Q@xojBLtPqkewp)dt= z2q2I5NRRY$%0)0-;5OB*mwkY}&8|fM@9Bux26w%KcOz&>Vpy$?CG)AAvq{$lJX^L@ zWQ{ni$<*6yJIBAxeCeSB7dtNpLgtEHY`S<}sN!wPhKSl%mVY+Mw{HW?kh6u!Y!Akmi&@cNg##97_M62W$ z>y_kXid7Om>}x6@e0Rg}4A!U$P~Cn6FU2c=MjCx8DoBa-ZXV;E9rm@|NU2 zeh=Ig8puA9Z(rvfU9x7_CZ1|NUgcy)T-~CdN&sL^#GgYwlOzrY#>K?>E&4|gNd5U{ z{YPVKYXJe?wnFAT0G)sG$A&N^En^*#OE%adl5~=EFJ^0^Th#mb*%#o5g#{mh=sOZ9 zAcE=Q4f?b9t4{PDa64alzJ#TqmWPc=%`1Rr{uQqt#*307&vlDRHRyuXHdB6;WecOh zaPQxTOo6D9l2gOOI1vfU+COlEXn8Qda-lI|#J90kM+wJ~Xm*fRaIB!o0d2ToD!fgE zv#cFNTSpJRm_Rt@npT_UoAid5ceSNkZbfT&j8%k#N28EoAE7gI-Z4pGWw(BJ`E~TD7ieqei4v4)6=N#vY=G>DlUteL+#qW=kfU|CNgC6B( zv5%5>abn5>OK3Y?-(+t+?C*PKwhu*Clm44&QZB_KOG2=lRt0;#fxDVAm!$!eZ|5C}fqK=6v4%hKnuo;^Bcsyn}X> zxUFTg%g^HsD;nCpN*b8Ep2BOjI~?SFbJjmiXq#P__sgw7Rpb(rQnn^JcvyE|5 zt5NzQj{y*Q5B?gTTRQxwm0{Ut6lmyILyx8`7mHe%A>eG$t%^8m4C|nvjkvAtmXGm) zw4Mhy$jz4WC`Hxs{4W1sgDB}m7_(76-KCq?-p4C5QBsFip?+$>3@|MUFC&Hfckr`U zkGA05{nWK1#O^?d)~p4I*LOJa#>@=9;66#pEV@#;UpIgQ?jt7CNSwi8y-oIZzrlsu zPeD^@GbR17XAN=#NJj&}JpA`MwmW*U06j$8c*Ux)zfG2Kf8FvfMOF0yRiI6}z%Lk1 zbO|aX@sVH`5SYR$6^?eO1zFrF64`_gKmX!~4C>cU%hGD4)K= zs~0v=*tx~l!&=?dGOwb}W(0m!AOgj$p=1xq3uprTYd7=@~H^%YrozYk9JrP&*>rxhsJvTWHiF;~Z&IB;{ ztZ$ERa=TgV-sL#pmH1Y~2mk52Sm@AQt=TPXF6!e0TG;3U0~GV459QGyZZE@2Co+qRLE|Mch4`N|hGh(Q!sndca3065wKrB5v=Kt4*_ zW`L3D&^w3TFw?j?B~_h1Xtij6B*W@p6(mq1@N^&&v$Yb~IKPQpafWi2IA^n=R*pD@ z78jK@TJ@t(p2UijxEpI&YaQxhYY4#>EL4STVf8GYx7`wtFoRK-eXd}&GAV`r6C8>Gi_cB=&`f@ppDcsC{4n=jeqxRRmYpolZ^PGu_ncTSNCzsZ2fF zgAH5j*X`F&7IFk&HSQY^A3wZX`GMCHA>)M`b4hdQBG!Mo$LIXoEY>^qy3g5kri*bB z;J+i>@j;iGM=D7a<73+go}R)rupQBw?FD%H{a5tf9#2di?>GQdpV7Ywg|7l7R<(wx zP0bKFRE!XcXOrvzg?@ev8ZKnT=OA_}tHt4NEcr4(D2}T8un70O-3bRMq(dtTcSD!P zXZ_4qgkG8Ts{l=xzD!*0Op)MAW&Q!UQT{;{qe4NYm%sr=hzL0HGK$$mU*a60=i$7M z;vp?|dY8(Yl-*H>^fO5>MC*f2Q8x`Jgz9|IB}5`rxn1G77`YRc!Tj(z5hL9RWce{$ zv50e&&q?qlSWr%_mwyl7q}%9X_GAJlB@1NC0wl+Yn&R4^D&Qll(P}X?qc#)j>o5wq zEeC+@dc@le*qadJ4@;Mov6}R#c(No!g6|gcpVN_SkQcQ1T0mdzE3`Z11*Y)KMBS&m zts_iC9UvO9fG|*H6T5qg(ZJew;o^}Qq>g?P>%y#_`y3g0y@Drgh$97SO^(% z>hq?=r&tmZ2dXrJ(VkBA;H-` z`2Xc>6W;|S)%iZaZgLUfxl~#t?<0;k@zuNDgp)Pf^ZQ}aefya68E0Ko}i)ptx>&C<)YiG+ZhdI~s~TL+Ao zwhw)sd%C8W+Jyo+#Q098?A3j(54jd=@vRpW_u}etKXXd&I{HEQ-#+oR&MwQ3;(EXF z-*St0hme?@hFybR!p<-f*W~JR{^#Jr`M+B{24Qwpr#gF^$4jl76@lq1f>{iq@kx{l z9N70nB*GoXSnZFX|AGjxHiSA$OBknH*lv_0`2Smu2=cepFpWbbA)kv-Iua-jhI{AO z6otKrC!fbQ22nPAQ1(@_2gk9M2V7ceq;~aqAu#TQ>tj^Nze>;j%33OsDWpbC$!c(_ z?2UxQ%2T_p6(<5LDZ=S~43LRaEbuVHkEp>n>yDunX2^vF1RO%hS~4pq@IyN~^;>7L ze%_11QQ9r_#dtyJH}}ue2v-gMGXGfumXkx#5CF073@+BKnwWU6uMvBH=9KjZ!$=LP z5YloC)L`*kj#Zq9CcRAVtR`4H2Tv^tVVl~?e8QesAuf@=$tyAi37)C zSWpNx9(+wy;Bd$^n2_=i9NDY*`MhdYnyj}N6f6Cbi z%$Y3QU+~9lD4F)%8+K_|tTkq8{+m2PB6?dDi3@>l?VLU(Yq!*(eS1#^iy!xrD8iLN z7C{llXZ%|-XHk*uTNEod+| zq2B(-{S4Fh$U34`SI1v&4GhFm z&Jj{@c!o{kQ!1dQmHAX5U#r2CFedBBzDMngWg;8;o}#pUP+rY6y-~0DDV`>_t08Cx z+aEg9+7mPOGwEF6NI~FJ9EJ2Fj3j@YE9KR!@7%ASoj0#BfK$!^nkdS_Q~2S-)Ixv0 zuPkB96*yA}NZ7uVYjC%wr3Lb>1F*>QRz7W^XZ|l@auT)=P$>Ng>a78+VJGCoI3Ilo ztQg_sf56Cn-hPX@>$w|A_kY3WZPgev9tfd)7D`SN>z)4o%EeQ6I`1_~Addsfyi=c zn}=i05;_!4eWx@*p00jFarz;tfQ}Cb{#)cWxrRP5nZ9dJ%iSIcFfQ=y6SsnS^|*%1 zI!gk))H&_N(oE_1c?J{L>G`*xeOYkn9MH|VpLjN1A3jgw!&Li{1fc^i!9hwX0L(^W z0CsMhRiDS`pE08E6W2|nAqqF+)W3?L)6Hq1;s(54Owtp21W=9idHCe5B>acSx~~nM z_LC(BKD>cydfBms3Dmu^F=+G27Vx=;%z!~>2BUm02Jtz%%C2xuiGq_+5RTF`=M3KV zJ^HVlLz-&+T*1Qy1HBVsgjkegFP zv3ly3Y@VzD*U(+=t1I(|dCQk+xFS7hGyxv3$<=4e*uuS?9FAy9pl7wP3(C~E;Fdo4mHUMS?TB6X{k@cRr=_gSFMxc| zZ6ODGdL?)dgfj{E`yT*$!L$v@^QpReX={Q%V8U6$Ja~Z$WAP_KslL*nFm3Ka^>i2Y zhek_mPHUlieAf1%7z~`?U+{Y0>ugC8uSKa6QU97rq4?$`e;yMEdX27vmTl*o`&rtM zC06x@do)A208=0R@oNmf!7g8!1UfNXV=iX}zB}Y|5Vk_q^iTC|sNWY#J3&gYs3WZZ zd9Sv;(ouXqDg1yF#!Y$)M^5F1@b6EWoblRy6 zT*u47?%xMUzl#LPJ&LSL#%EX}0rcOifHk!kzB7Vy0yN*N+C;f)#H8(`a+vz?4*|H| z6?GSsmY1}cKU|p(D?{Qg$byP5DN(6TP2sn7F7}nb^)=_4BdW6IP~Q*N;2d`n{Hlc| zi$+)kRTb$4>y6Ssz@hDN@u14cl$n-p^!?1$B6Q7R!5Fi!iN3jehvg7JVFlch?ADC$ zyqtB1+;!gqfqX6d^m_V?1ug1>{Y#zfwfyd`!1rNyX7{6_(ZWB7>g|9Lr`%?Sj0YV+ zYg0Ie$iH3zV&t|vyc?du1fj6_OTK`Zic(Ww-yi0mhJ32*TOXKK5JLKJsmhFBDRH>d z+8@R-pWRnL4*ji_{Tvv5F-t32VnDudTb>}&HtO+B1)*m=eup z4yalx$GEt5c2q}3>hD*2VlIEN*V_N?a7Byid3&@k2 zY1E?he5A^+5LfzWhZm~S&jAcGRkhcLs6L$#8dk_ZjmguSc9QywR-T+6UA~5D+5BlV z-hRPe!1_jk(E~_UXxTA$dyo8euuGc((2XsCmw%(5O5M)J4MSjmT9n_NfE0jcv{qB;OdZyGvWp)pa1?Pu6_3Ki%ev z1~X-BuJHah2Y=a)3a1d32_uQEf%fDgS}F9i8tPj}XSSoojVQ;sJGEM|o6s5V=?geW75Rpc>E^r$b)F53`v zx;4OmnXv(0m=gbSRlTu1r~K0a-}&X(I8QHqXp6`n!H4o~JM76nzlDrDC0mfkg)Rgi z)_P7oP&X9TMv2QB37g2k-fKrOlueJ%E!BP+_N_i`49(wlw^;xFgI?JJU)d70J%hwz z?DZ~f{rTPXt%`}O6COg>`|I|`e|XnPWVlK#yr^F~&*N<2uS!v|oJhfMxIx;dMdh$2 zTrv&wIj~+AxORH<-9hiuL8e4kkt|=!+=XF2g*nO}CYjXXMMR$Dr9Z>X&@V=dmviNT z1V`4*nO3bOI<;u!GLAic%_YaMg1%pkh|%}dNLf5W^h98dA73!SQGdmRtKz9~p@$b@RQI_q9Q%B9oMR z#9tlExgtwC0s)Dq(@cqoh@P`}ROE<3cnf@80v=ivKsZY;CdAKFHdxE5z_3YqBI4#3 zPoPfEVvieuc!RJ`JaSHGxw`&yjFAGo9!uw8C2Y15DOD9-cpzaYi{P8|+6wsyieGxC zju&Y<5flZNS2q@|Te48ihTNNLtG<57Ox=bK4`2rBNB}{HGNBIjM)}D_NG3{BwiCwu z82RfaDex9yb<)~{dF?}y3N>i5xD8M_N0SUB)mOtTyAp$}WWz&&28jlF_)J}DpAQ=a zJx?D@_71u^Rb1vPw^FBF;fphF3dl1PXq~rIg1^4gg7YF#g#d<%m2>3ZLXp9-aF2*M zB8qp9hG9R)3v+%*UIiJ2MC{opKsAq0EgA@8ye<*1_HDm7%Wak8eO zKR7hZ^!iTnBL&p%FU^;(ZihFsHO9dXjRVS+s5N@*o$IvRk=2oR_vf~?JIfv$-!zOQ z)vu|g@4Cg0{Vy3pW6wrTXFs7q<>*a{ck0xg1t?O0y72hGYwW9Y4gx{SrqKba!CnAC z`QN{&{AG}G*;4TlsvdQw~sGc zQA<_veM5GTM#hvf@^1DNyG8iWr&%lqRV_|{x1Z2ns7(rRs6?&@JLGeI26}@*wuKNa zvZ;<*@JI$6VrZhybg1|{i0_h>U7IWj>z8@C^oyHGA&f|NzoZTIKUt_-oDV71HWHU4 zYlYbbQnZZ%eg5Gg_nae1eUdpf{Ply~f=j)a3Y0QNXfSBumdrbJ)ROlN2*~&_At~6^ zk{A!{ultI)LcvL!_iBIC*6@fMmT4LL-V|;=7R{>Gs)(?LHR>_@ms}?ia&8-Ihw>2@ zsCc2QMVIvCsQOl+A_Yg1OPKAD6An!#+^a%aDgW!$hgI8!&DFNR!-=e>1wPOefcWKQ z>K$6}<0FnDt;zL`xC*Vw=@NoS0(jsGcJ^9zU`=o*cpfsQ!!+~_y4++asL1)n>Yu+Q z%Tq6|#h7^TanA<-ahSB#LQ&HSJ#@3~8{X8gEt^6akj|9ZsXFzjzSXL@RPAD;E`X?h zz{%@@D`Fzse}rhQ@>~A0@GkQ~qhgH{R>^&*K!~Cpsqg{zk8_u|dmDi$9g(ZdLKd?5_`;rTYxB?d1F-IXljluCr{_aP z`@V%!2n3A=BGh3~%3R+&&jFF<(2=;gF&|%FP|5kBU~TOugH`MLTyMp4+Pkc~+ER)qdcv&iBqQ`)ydPZ){Fl_#)|zG}_7T zX_Huspd>Lxx>!dnewkU*l!Yn0i5YLh(F#uO`1TL$X|VYk>PSbzDW&AyX%ejNj&Ap_ z=hE=F0Ux5Ja%@hEVw|Yr`lHP_v)zmDGT!%FC&?WDj|D)p zs-zl6@NFsk9GKyP7=!3)az6|H>gi)b6H1M&tPW>?i(v8()Q6eh);6$C2>k}-C1yb_ zMWUjf6YZB^rN#l|$=%?xsjl=7_cN--a;%z29XRG}gZ|*_vq(Tfv{ZOLpOZ__jT z@Jpc08Np9cQN72fBbJT}e;r&Nz|=cmf4)4@^gI@oLb`u8RDUf4h9s#5MY`#M%hELw zcd3B)9nwI-Ds_|Ka-|!l3zl5fx(lXcbO+o@cTJo(q6Gs0TOggS%(r8oen#&WE?33S z=xfZ|@A43aLwsxDBP?;cVu2u6Zd8jbOaO7qu#E?1_0NXNS`k_eqvVGoBmn9nofZ6r zA=rkm&+3i=jfA^qo-BqHL0y@`X^{BI4NVFz`3#P{5}^{Q$Qv~{B#Hf&yi``&?c>sV zEaOxOq6KOQ@P2MRPwq_L)|}a5aJ0Mh2}(TaiXuj1;E=#q8D3|LBGJamo|kUnEY4r?#|r>y zZ&5wN_O%1ch#xEdT0bAwjF*q$@pPaib6QORU@(Sda6wYti5ao|$E_tZOcrWQBXAi6 zF362)4V$)84Lx{kUc~bjNG24fHxXjLuU7G-^OLnu)c|a2>Knxyloh8pAzl5qK#w&M zgad^-^mF|D%7`!5k2+#1(;0tEBE3+vBYPc9^M@x|M?1^5*~SVKh}kt_6*JMzUiEf~ z$R+K==R6Uzpx@vX$2bAU%m>|OnXt5NA7#Z;#6z80ZS-DNj)TPlBqdiWfrUqStEy3jwo+452^6Q2-fh@!t)blmJ{$p8Y=3Llyv|#y-j(MYVNlX5 z6y?7|i6=WSLNYa5vyGPKRj89Mmbe-o>N#QHZ?HkE>;-U#Rzdn~-T?@xNmSL~(jmnW ze|V(}CjhAW*&O`+He?l-GF*)I;eU?k5kA-<^dlWYhKSg(D&4sasCNCEm_IvyQEFl0 z8{C;`2|v*vv#<^v#KEW(uER_!kt-%~V{2nKNZzk)ADyV++2VL%%PPK@;A!kNMMW?OSlODX9db^$tKM?%VbAjpEe_Ntfp69s*f6Bs|e+Hw@ zAAWuhZXp4DslL!+?F3FAJ+0bbBwaW|hz#s(5+vv!ibimV)j&fTa!a^jY}F!-JM59Zm$53GvjR3l&+Y zfMDdoPTat1EA|#FtnBJ0UJ1cn?;_n=>&#jph$EGhcowN8&3*ryj^HyoaxoL~K4vW` zTl7baU9XwHQThBW1(7mmT8`#WDXp|^lzn36r*lqzZ5IKXq>3K}H5M(V+uwOW6BX(| zVjucUl$fOL_jrbEc!y|2AP_5I*q{9!;fJClA@g-3-Lb^ApLb0nd{90PROF0rOh zas6ZHHlReVmwn}}-g{Z_%vjU|E5tE?G^FP~%4f^a@YBW1U4E%LDketW(Oz1@^Xfhh z>~{xEnsUf~FDCZXyxKKothUo`su($c2&G)9rhv^IZP1w;;I1F8uC3K;yoh&-kFH4= z@u)ezm<9dWJXvXq&Gq*lAp5^2SLJ8S@RnP?IKE2pRm*G=QXHdl0d<43L;1aoZn7jvyWbLEPDL`3c~YH$&ocG zcyWaKYYwx2rk_KV^Bgxmmf`>9aJyMa@4mEWSr_Oj9`G?Dcz7ned=RL@Pjx=}<0E@Z z-alGT#Ob<=)ba7v|1qTtbKFlhWJ;Eg!!r`-wc@PZs$USMfm1<;ju^}B8wBAtWcnPO z1g{#wi@+fc2SSW#?xU(r z0T^>B7(JclEa)ntDhw-MtU)RV8)tu@l0#ziRl(mq+P3{}L==fO56YKOyMwMOq4Bz& zlrDH#!1?3DEtK3iF)Rk3?{jeHK=pa_fufd4~{$e+^ zX#JX$oILYXwy9S+<6pSUInM+Zpf|~JJ5GleocMk=n=K^J5Lv+pv8^I3vZi7GGW0YF zz|;nZ!fGH0dBwSC4k=VK;T@huIqq88*l_8E@<%!11%bgnqp7G=y-1k(96NAj2r+n@ z>u^8h^0?4E1%iM!0Ny=SZTgm9#yblsUR3D_UmVqyoAr2xLW`x72mxcWy<--6o}_i9 za%ytuaD8#XHt|ToPl36X(0hLXyen!bTqk@RQDBNt|6gUD?q;So9$%_quU+$by@|Ub z0zC`qpigcW0e<4y?-72CAQlBJ9(rS;=}Z*8MA|=$MI|%yAP-f*SNx;i;p97!Q8Qz{Ckw-Ez-gF~#g3+)7YnuWM*W$qMhk0`d1|M{FXpitmRqXgM_7G; zoANj|I_hyFg_OD&IRp(a5cs6eD}C1=4_4LIqdusG6+V$bD$VNRUH-pM3xYN)K7LR>tJxiewg)52$!<=OhWQz?4re`KPvswYJs zV>=l^8pYh}myftuNnhcK;=T$n;auOUJKu@MR#x;c?oSSM`4FwIX0xm^*TQY|0MHVa;orqxicNd$245 zH8=Jow0u2PkyR*ig%_7J_965Ae(GvuR1%~vs3b4|o`sCW&2!vmpg-8CWzQoAiI+?D z%X5X+a{^}BGzm}^Qji>Aew_+8Lnij*Uk&G=2yO)YD!sgA-e%D@{@*}W15^w|RFJMg z@*&%59Lmp6kcc{a?{oeuBziZy2OmhaiB4!f5wa&hH`)>j@f1PKR_`N!T^$vH1~SUt zdI4dh);!8QyiATZbiG#9%AfEBO`7Ha1`X!BfxId}V!+>m?q0-2G?bbbc0CU~xksPvQ1GwnHws@Q%^XnWh{nQS#x%{SJe(kdyb zyKk<|7ZmNbfz4N(0Qudb@Svwh6LMixKRb*B82;n?Xgz07>R%kBS08?Ovf@-)s@7`H z9W0@`I~bvbPAifl!$I+hgRt;ow>~2yzkZfGhyw7Kvm@&{dbj6oU;m)@B1&BJU;>84 z=PwjXi;=JqU6~_IIER*s!S` zo`OdpS*7qN-xseG(Ps0g6rvs&HtEm2=gBAhj%(96LjQT|yt-FKC)gzaZbQ-;K&!pRMNz@cpmz4JPyZKoGl%NHEqi@LEC#J5DmTMlSAE zo&{&VeY#i=c(Lbqcc19-I3Z9pxJO=M6nSG_d>T}7JkblcoFyL#VN^#bPbt?SIzs8d zN}Pw{+7~XK6xtZ`$+)Y^Ab@i6lRIgy9+#)zdr zD{Zw$g@D?iHZ_Vip~HY7!1u8e*@^;1Il^mh0mWolnnMa(yD-S&t&LEg_WWP^rY$2Td|UC`q(iYOE_Z;DsVMAS1N*ZZrx@nOx|@{MXV3sfXY0igu;*Wk21BaGa7d@`79$WQ+@ypKP5& zZ&#kl56{N<8Ovy8PJ5s^o$x=ddf?F=-w8`#Qgi$r+=otoM-IY0)OQZbOFP8dL;{G3 z2UN}nJ{skzA=}XP)&gG1ph$VSNH#9eG^8nPZagq6Y8wp^bCxPgx%NSQ>arpSO>bgZ zaQLckqlMZ4!BYPae415YQSsH~3iU%`IfGzAyDl=57N zU&?5N&_=09!4aTqgGqHS-VB91AwaO&Z4LiONH$>LkFI}=N%XFR-bQv$N8P0QB<2lum9pbmr0!KW#)!uRSWIJSt1J z;3-^&+<^|IwcvMoXo$XJUpQ@k7)x+}5nB>rs=~!MgBeMXPP0k)SAW>h{$ghS_D{e` zfga$pHASQtk!s59h?qe2EDtJxBs-dF@Vv_QNzeYwU9Zj?BQaT_9Cz7x5#C8?&YZAz z>LGmVEHJ6bouYV8lS(#Kf8aYjp;RpFP0Kd#Z18tjI*g1DBl{o3qR!sLTaVBtEUbL$ zoMHFQEhm|8QJFEVutl>Ham216U9a7nAY{Qva!Y6l1Mg|8& zBF+I?Gs5|jRL><4CbVB`a=4ADXxJ9GdJR7YYZd<`u((uh=-Ix(z-r-qQ@bwh%oz3Z zT`+LO*x$jAYWRwFaQDg8!%chPFC5eS?~thE3JGLMQ09jdKb@0cmj+E5h7q@Noo?HO z7Xo%a<7Mu}mL_v9r7;Dz(XZ3>I?3kqCP#o1Q8V+r!iQ*e9f=eB$^`)(M0*c(K%X(Wmxtcmrp(0&~SHnPv)>fgJxzcMx zz+`|Qr?80tP<$u;OJe(B-}L!;(){(#ADcPglD;zRA~m({`mpkx4CMuu^`bG?|M5PN z0OQiDe78?vz#KvK$qPfcR(C0UE5bdJ3j-@;08vio&+rpf<)1m5iE|0tvQ(k$C%gHf zNPH%$V&r}4a@wf5?8y#g0Q^+8#}Lhnvexd>uK#It+(1^g)bY7#aA)Uqojps}B`|d| zSNi5R`90DHAP%0u2p&I^E;tA=&oKu{4b7vYkh&-hxZ$` z1c_<{R?FgCtJtAqdM@93R7(HxtkNTw>6CxlO1vo`Xxn+IHA<^PaHeNx#wPtGqUboCKHNxGCrclL^p+b=-anzrdJp^{C;IOs$0(Pzg>>#tEG5eD@PWZ)*)Vkq4eCgPEYGkrgV?%X+Fx5cyZy?i z|1ojEP*}oSE{+$hHBQp0z%9#iz*W4a#&*UU|M}b-RO(Lj$K7Gtf|kgIEf(x32=VB7 zCDqC82!A*Eb~x-VUs=J?ScJN>gvd&Jr=HK0SO8yqf#cY)9D9DG2{2^+YGFEWpi>e% zH_CZ^cifks6oAsGppgzcGe7dJ>uCG!=eE`gFtEiGwsFTEk6S1j`C^s_a$cXk;ol0s zUM{=i=3wew%7y0EXM~#*_g0MahZ0Vodrx*(fI)V+prz|9m3$fn=U@nWz(>Q!oRc9_vsS4JuB52$oPYu+{N42b=3_JswFKq&lH>wd$#ol)q5%o?BzWmKb z3k{BpLXztIN1VXj$3J@}-x;~S1AY{Rp6R8W9#5*w5c^nUd=%ydz?rYU>S0CI znH2nB-b;c~k<`CFj@ugnM}^7l4FwZHsi_vRso+g0p-cd6Fc+K2ExZhfBeBW-h6D9J z1L4?9y-)W!9!$cnQtJZYJspvmiUxI~>^e;GPj)NsWD?WiFm=cM{ZOAqh5ugCC$S40 zAMLLVHn#2Drs4D^%PXOqrCY_k(R>shA-~Hbh1l07iQH<3BXq zZ(H~|VGqK65b-VUK#*Y};w%1#d;&`xWSm>WJV?>%KatqeHF`A{ST+;S#(_jxAgX_x z9~ias`5nIxN&8ae`3nz>uvO(=hH~|84+@y};D4it?2j&ijo(CqJSRnqJ`Tv=YUD96wfttXG$pDISBI95IUSxBV&8@P2JDiXQi`6bC zgjpiT&D(b7QKgB(rsS|3=KkM=n+vCJ-{{_ay5`s0_LvB3RLuU}VhnHm2zLo^C+t)q z?^{Gy*_m=F#fjDZ8r=d^<>c-i`n1x$Kv80p<`L#{kwJ~e)>a9KD3Oyj|01&-hk+qm z{0&oxHF9c*ra3AQ01*Hjm?`8>*?G+YQ|%D>oW7gY`=HOA1O-OQn4k1mW3HqgzPEEM z)RSn|#jflN@h~z^4bjRX&{_+w?qP|FjLT|wDymSKx4ElOafUOf2iw4-F2071gj_-I zB0j6@y>f$^94|JIzfFNKbr2AUpNowpwj=24?mq7d2BzTFlhN8QfS8I+~m-Al6+W15GkXKj%dXzwQCEFP!;X z9r|D+(fLYkwaI-`SC7Io1>>OnqcWJH>+f9vW&4>Q_IiK6$l9d>-F-2h4d8m+$m$<= zQ@3bvt}osn^Ehg5?qD!K1}3y-8PB|9G6W`;H(z&{ny@KPJ1mwE{yWTA(z3UZgScImu0L(Ys?mDv-qH^#FW~5 z$NLwZn^4mXh;4~`Z#HlM@!MA=slw~rh~U-9Na>7P+g)sE%%noa;grn`gHt+i%*p@U ztFI+XoJ5q!S-GxjMb9L{8gCpItB{lNw1Y7v{s~qGhz?5}`)CmZ9;a|-*n6VyEyd7X zT=DbssS%TYHs3L7$)U&l@YFi~j**uRavUkT z_)8(x>QGL-4c;zoRJ|)n>7Pp2H>E>y`p5pJvg)}XxA1U;3`FO1+Ux8I+ur6^?z-Od zu}5FU(|t(ZM@u}nV>%o{9t|2k#I4{+$ngo|rkWED27!5)Bmc!}D%E$u*`j&}U~g~X zZ;QWUtc?`eBLgb5a=cs^Z~ZQIbXcJd0mVE++O=JE__4XsLYX-A66Bnmzly&~C(zi9&bkFL= zgN?j4h#V0wD=Z;NFP!}Pd^a|+nsr8R&mfxY_N$tTSrWU)EFrNo`IK^z?VJ$jyt5nt@T|Z?2D;4Z}5LdqVbMR z*wEhh2{cZqut$KCf95**^Al^}w}CQtY|Ag1@%>BZ_lAAWw>(|m=9z<0wA5AdV62rp zcpKm*-@kS%!{M(3WADGj(#QTtb{bLVl@+eBof$F+e{8iIN-c7|V{Jm_Gyl=Ah~a=+ zYKT`@v8#aeE<3f7_#~#=1g-776FT;WN?>r?phrRS58zLz2fw}-><4!qTioKNDieH; z5B4DeMFQM`sKDv_mfeIpgj}q9Ogr~{CUA>6R0ME+0A0;1qR{&Z%>Nh=ZH2nbf{~V4 zau+1hGj0l%Fj?BiP)md>ud(`D!l&&ijRu`J|kt_-bcXxc$6 zOO0}EmEs-EhBn4|B@(#(%y;A8(&QKmkT*h&Avy^+f)Je^SA{NlU&`(r5AP|6Vq;X? zrak)0gmeR(+4_e}uGLO~#XP->xc(8q2i;s0hXNuU{n7>wF1QDrG3&|V_U-5S%FB^{ ztXX(aHoQh>xFT`Y&}Umylb=!#xYY2UIL>pd|5}GHQyK_{TBH6#Z*CX3D({a=ar{ck z41O;m`DL<}_d4S&#mSUeWCW6GMu0dBnI&}Uy{&J)RV<F z9IT%SaNcbC)WiL{I#mAyX?}rD@sID!%GjD^Q^x*+U{tsC7qhx;?w|lSB|F}3UFkq8 z+=mR=QIqa)wx9>Bj)*6h?T0d#?eH>gzG(!;hE|{c7+M?i=3-Nqvl9;krolTB1}swdSCroJEW~<1RK+B&kOI%sUUi z6Y(aZiZ5R(jJ?llF`=OBNiql7=~+gM&5Jgzcy)}eN)^Qtc&#c>kvd7UXard?or>_3=#DQ55<7b6@;*?5uLwrRU3C9x^iiIT%(jYT^ zkB5{P;y00dNwJqTir9AMJ%nHN*|d~E;~%tD=m@@^4cKQq^*QRyIag7pY$<>vPSSl| znhe}79$CK!moUy46Q>=`H9W)iJu7Q-)2jU89VYA$Yw(KsZjiC9)#LEq+a7m zGCIw-h|-2?S|hL&+)zkhXy;4SC7xFJyz_JY!I~y|D0af~#Ef*^1P9GVr&3)zlqB#I zIc0=!p*q^1^Hr2dlaX7+Z07igFeKr%ndfy1CrU$;HQ>nk50To#Of#0mS=amJ$-neN zym_W$)OtkC(Gq{EJxvVQX1cP9Zj1(KK36qobui6Rn1khzDncZ+YE9)gW_8u?cLkGu z4;YKZuSko3xrN95e=UH-&Aa;tvE8@+Ah2|UcihW-BJIVrQq=paIIZxF=M}}K(9b>} z->aT-9GdiBRi1J?T(xR);+?-Xee(k%XaPSm;azv!ts)E#?TEw-K&*2MV0M%z>r6z~ z45oMUqvO*?%WaYY!U29)_0IpbLBN_r_680qe+ZVdxfWY@0WPX@x;*m=!@1WaZeWW2Vdx-ug?6gfeXww0pI?i;F1;sF(cVuRAr^Mf=AUK zQ=|}mSBa#7yzwcG84{66KZEfVGRth19>;EWuv@Av)PCWi}0Y8ROc#mP#;wpB@982L)D)lQ6JfPW^lPv$$tV7rWR4I zwV6ehDW~(%26Q8uA9BWbI!&z{c6=BDmVG#owMa|XX_I7`m@#IZM^Xtfm=o=%r(yX=h*Muz*W%-!6h>*h3jX4J$H_%12R}>p5Gz&qr*os7;5G^UA#Sf zs@^-qdypNzu>e2kC-Le&O{sv&JMPS_K86LIWdvx{o;ILVwE>KGV$`gP4rhbR5>&#&0&lgj582tG>@n38|md|MY@)x-q$K8`J zu40ssp+dm~|J}K(X+M}7My@`cUbJ41q|F%NkwlkFp^}pcrs!DOi#NneN`f5!TQTey z5Q-djtDFrSB|emQ=z;nYd!R@l(EFvJLY~muoyMi%d#hZpH$H`lj zLC8zU4UW2ClxLdB8!^zFPdpK^|lTwqnHH4nRPY)0=EO5yEBh`Ij3GuexPq{|1 z{)4Md-_PNdK4gc;>pxLAN%k_33h#p-BROaI`&o-!?u!f2AH@nM$>M94zhaBMx(7{O zzn}!&CQ?;Q%P@;?q-PYw{(E`x;C_j8J+0C{ly6W#stbl=rAimw{;XZ6sSYtm`5Q)^ zNdI=b^t@b@@jTo;^tc{nIc#iHIxCa4@hhn&hxH(yk!x&zc{(?s#`R z46s~YgX5!_`Y!2~PyRyRB^3Bbli9!PoMtfbQa zyseUER0sB5yfH{NOnMR)`{187&r<0} zk4od?tlx=!_~)53L&pq*yx`qCr`ACsRo_*9mCA+sL%g%OhV(Eqt(%PaLESO52#3XB ztwW)!*S1xvfvs^?*~9dqtD1hxk4x&?isd=c875wvJE2 z6Limou&Rvq}ezXE^4Qc96vRc8X!+zW@G|joK5ZF?_9Y zQ63UJVt9_QwBst;iB@4-`as>S_}Z;EEUo2jXw%f|RpQl@b#d4{+wd*C?!Y-^?N4cX0ISMc5*GkP^t$p87u z=Xg>R^`EiLd4)nAMZxC8;mT|x^7#Tt{P9hJW9M8I*Q57V;NyqYVPo&|dMC@`$|&5l zfguh87qPN9H!r-jO}bLfAPi02@mhP$=0KY$hDS45O$B||xVQi!Y35g~zA0dnLB=B# zc9Z>rHMvs}2}q&2&V8vSg_xu6O3r*C!_+9$drXJKnx&g%bXye8cL7qrA2^eQsS_H@ zPzOgqWZ5hB%~6-IIp+_hFhenRYVuCnX-1P`3<=cw(IqjvX! znxRWi)<;tHYIqSN7n7God#4~4#TK&*NpmGS0)2Q|GSgE81iCEBD}%Jb(Rb6i$z2>9 zKh#p)__<|Np)Zk;c{ss~m zq1p|o`MV^2kDMKUb0uQDPMT@QDVKx*xeDxI7-pZQ>Z_!Z#D}Q%#CoVV%nf5CDXIe( zOS^V*%R4nlt@$Owr&amcBuSAADp{8chUtD1AwKhf-Vhp%E0y885qvPfbQm5BkPlpN zfUrboAQZ9HtW3w9VZOJ$|G(Q`Ewz;G+s98QgmnmPX9#Kf`63uXN;81~)DlR+1Oh!5 zd;{(X_F9Pr;UJm^TO0y^ASc2@R#vE$0D6SQy)a3^Z6q(>*+oE;j`aJ~pH7NU4OQdmd?Ge zgKqVc`kR4bAuFk)P0!?1I{r!xM}&nVa0UwTs0)ZFACg5lJKtw;-T+j^9=yJo*Bz7`8qzeY^>?~K}#c4KPh`!x; zCz1YM7YsUVtrz=o4IYXq{xt9Y$l^sQ0f7yP$u4KqDG!P%Wpo{pg!}@*8$pTIxaVU$ zB4_2z%Y|0gi)KN!Y}4*Ki=&7HEoby$ zXr`PRg5gT}2&R$G+BpA;jY0`Q%gsASfvIK(3LFt3x4Qd^hOQXE*P zuj@XH_IlWVD^sJ*7z5-~TQvpsh`k+$O(g!5(=TzftV+M(P3M&Q?Ra@J%9=sD~9`|x(}Z2O;J)WPr>B+VV(`Po*( zq*!XGmbX}~9wAlhkROFjli2lQ=?#5r@6DsXCs78Ege(xK8u%Ji&{-utl~abUS@o52 z`ovii7xWcZR#%ruccBG(s7@fJtZxcaiSEbb;s0=wq*<6?AQyqz&iDLweiDlx8w=MgZ~a(5-2^d3$81wj?iy>!upC?ej)>dUdaph z_n#b=s6LWTk3AD zCXbH*SlWR(u(iaIN2md}+Rz*XF=`tMco3ouclAe^6GnN8~o~^umB*_d?$%xl#1hl-!^c3=TX29s&7X^bLK z)+_mha#Qr5rl++#{8_LEZSPPU_CWuSKmbuizD&udKY71l4Zv1$a3v`EyUAB?J!~NO z>@=|4-p$et%bRN%nscQK^4t({`y2Z?I+d;PXLirtSbc$>^8)mu>ayQ)&YwvuY3cg5SI7HvB`fPF`s36-dj0d-O)aPXe`FfmEJ# zD<~`R{fc@DUd&Ux%dyfDkBGVV3ljzQXPh>y0QVk6QhOv~<%Piz!f?HKaI+KK_5h{| z{W)VsF}w*|eo+Vrds>H6s`ZOg7jIr{haLGG2B)HY(X~V7m`i_=UcW>C*FSLX?w`A? zG7)EGiyBpf0WT|~aqPL`=zvmw2{F}i$yftfM@yvJX8ZKFEeW}m7ThNGu)9-PpEDC! zQm{F!m%hg2DKFHjYV$6q1dn?fD(M>i8+%_ z)GNaL#Cz<5o2*EX;lCl#rvy_a_WK=kf9}4Q)hjCETV1B6(nQu=tcW@nv8q?mK1GuV z3xfLR#T+fLzxQ#hBRo0&uJuO<8MW1L7Lg`B*u8`@eGo*>7T$DQG|Lk+lsz=dw{y3| zy;^g~!^&4Ag_$7zV!%c+zTG@RLtghcGMN~FUe}Yb42#COe0?h4J8%b2Hs;@5(}?jQ zy4ytErf--d(&56KH<`9l7O08tv{cTkrsB~PR;-i5b}qmTZU%(kS2%{G4Vj}KA=N`e z!Pw&Y6fr{|BopqEe17_>J{K=7lBJ=$>|wc_W;ap94nU+MA^6N*gZDA_@{1|yT}ft*wx4{^yFu*ZLU@m*K*gO4USD% zwsI;eeHZVDpUHGtsym#8L-@x7pWHyjQGQ-YieI{XjR2+~KzlV!NaR|NQ;0B&vso*G zGc&mAuZn8Nv8Z9yo-wwodpF~;{E62L8YAKmiVxZr!Hhr^M4 zA`nf$?dXs2b0~m5!a$EVd=KR{{1d+Vjy-a2w8aA^Npq`^MSG^O#$mFP&o+Z&ny)S5 zd$k%*R789h3>A3=h&PO>sT09Ca1wq%g}CWu##?-|^!c8f23^TY?X21eHPOnXuS8Yv z({`u4CV-hu;`$Ho=m5X-0W>$~5xyI#KhBqV>^|a}G$WRMl{a^#2oKL>Wn!) zPJ0sfUR5R85CZaIt;F?%IMQ{<&c z(N367iH~g9)M=$W6!&8GU@3RW#@GkO-@dP#sisOHf!~xy6b+otBcDTWl{udp^#zb6 zksu?hIVWB!9`Cl*WqOiK9&@M-QHB+$GbZ%4VgR5`Z?#*v(o!> zjx>dWZpHq4gSFs#LB)FSjlO}BfwA;WR;^{xY!>1buE~j0A!|w~5G_+&gG}sqru!g^ zWZafMn&^d&Rapr~d}_hHfIOEruzC~n)bAq4_vj)?f^3G4)F?Hwmt~Hx(}{+BAWT+L z*PfG%3gVNIh#fkpeLjIV(<`wkdR8+>Z+XK(GU}?so>E2*=uXTCx^hp3=PJ`ZZl{nukFCkjkc15mvBqKyvZnT8BY)Pz{oHvwXV(l%4#k)SKBO~IuC>@! z^OEXAcN;!g=IO8z=p^bFLpwf|S7Rhk2(^yZ&iU9#cAq9^fO z^G1h&+k-E=(62 zUGLmf;nNr{kDgfVK=Yu?-&}bKkq^w-ovXuzs1u`uayix!u_0?lza7CX@0Ml3;j?VC zM6EI{GFWTSQX=0p0RggN)V^;@21$^FNF?_fpJ}vrnKAo^kUJm@b zJH!xhQ(m=ROHmDBfy@u}za^-adqt5m85*<;;|DZ^ZYsjLgGi-wOM)mDE@ zOIv1Wr5=~uda+=`58rdDb)jq30meBVAE^MPsC{x3itt$$#ldRLCC-vd~^}C zHV=`EY|Ok!@kmr$d8^8{QO(r*w-XSc7}2zxzy ztPRbjBaHu7KK`{*@h&lzpA_(zn{UxBYumF;09c~Um)0&pkMX3$OHvk+btmV8sAVUZ zmoBw7?D4VW!IEfx2)@(h`O_C;8S^@BNN36Zgtc=wGN7Ui0;nFVoGNCS+CiU}t^?(i z#fEl%P$7IR%8In&i{HiC?TXyw@A8Ouu$;{AYI;MAuQDwX^KNWXbx$QO?#e(1*QO9# z@nP~Vimjfmmchia~R*Bk1$RX--Y#VHSQS0dieTJ7Ki?}IB&08s412q<18IJ-oDB*iYb8bF$^0z47B zNmm2@rl587*Sya4DuM{ESF-tJ;;p482(MwZdp zi|A&@>Pue4R=&rp*e?BlV<0Lnp>O|$Q8a#tDzs%RpyHc@@;gNkhG1DHd-CDwKZTtR z`T8&_yPg$~GxA?BV>-9TGXVA$EmK(cU&ynL2pk*fm-AQ^2U?3I$PwM4P*lX>z9>)B zN`~szu=OA)z#aYjYFn87UR^(@!>VTUhG0^jv0R`R>0j#jt;f4H`8gNr1hF>)tiWA@ z+ida0?w4hz76CPkde)iz5Jsb>IJpD+Kx}P(8l3#+k4y*ryu2Q9;YjeXs9{1UY~mG4 zR}=zb{UwdjPq<%`$BD-&qXafK22%Qlb#vW)gisIXW;zyy4u+MQrf^rKDmep(A#X? zryYqG=KD`36o9m7G$9NOlIIa!9AS?rhrW6ASlSFlS$GYgXgQMOA3L3I3!`G(%TOHP zT}B#tTOzQT1etQF<$$DuU4Jjj&wSFIJGb!`U&Pwqm2aY`K+&VJLG^ed^wG94_GIBr69e83t z-P+uev_1s1ajV#(2)@Wrm|Xdt3!Gr za+Yg8+5X7?V`RM^@vLfts2gg{ft0>f2q+SvtMALsaxk1y3`^-$`OBb;2>>#?X_Njt zncnF_(ZAB%kD|=X1PC&S$|GkpsKIDyj2d2*)srIgo)Ix-_Th#a=%@UCZxN~xII=M> z>SfNJk4S@yJhx<_}9E-2KF8tl0eT`zG3vm*zMGZgX;L788 z=cu@Jw%L?IHBQzTVCeLLg{4~U^`CL(oS6cg70}?U8Wk_57FJBi3Ww=nxcLq7^WNl{ zhte_a`^$h(TC$^Kj>WmH(A2~R$%^b>hvM1tgaz05Ku4;twn%2#uFxF7q3;FDl)ESZ z8PFGbk6ZQswE#nK?gTJ;6(a@uD+rm@vp3im(utUld>lkNf1^)!wFxAweV_HO(J;S- zF(Pzk4>eff~WFCmQzwZD!uW8N8--@B%ep=N&Xx8zRaW zLIk>}sK2vpB<1n@-N-2MLH42c1-uK|A!L*BZ3+AQ^Q%xEyOIyR&2I{xU*ez8`3u#Q z$5mERMksITBn_KcCqWgI$+RQ*yoy(q4~Wb&e*k=oO8}S_7*6}o*%py3S z&4BC@fgWtuBxQ1&!DCn~0$4#T%a%q&>PSFf`fDgzy$`8gx8zmMf99XEfB{%XLDHhq z)%LfNoLp-RGu+J%MYZw=ha}=&oMz!{KnRmmGN06jkLDSSbTQz^cD^9X&cIe<8}Dto zV%a86`Vq^LddX6~+~wTa7hkyhP2D|fVis;C%zV&1%mP%y2g8qa3aJ}LK^IEOq% zhEH(>1YbxaXE_SeUnD-XYwZTue?0!-z2iG_Sh^f@TU{4(ov+T3B&F;c;TCYO4{t)^ zg;oZcp;}~)`P+g5)W357$|q6$PGZ!EAuxyUg}#^? zeS$z7nMiEZFe2a?P&1h{I#H5E+K3S({K%ey4&7P&uemvc&ZLck&d3J2;+zjAo!Udf z?Y-+=Ua+jh$%Z;jUz|yV8nK5Y-uSTI^GC?ABF8TcnMsS@5bJ1}pZ9}`55YyWgycrL z-Qq+=%U0{LXKvWxuwq-Hce;;H6_DR{sPPdLuy{tDBdmN9WfnC0Q75oTIx zi8XzgD=TiRB*1m~3YqYq{w752+D|df=!w|y&~hS$29oC3q2jVgbdPG}WW`~4TLGn^ zci(MQ8`&QN*yV<7wf)U;B4P(>9(rZ36~elAH$6p5a3Wyp7;Mh3%y^S9%-VAs6*-YY za(k3?H1Ofixh(hW#7@#%Y!BGc6}PMBl1<@lbYikYtAN5&g?l}}5341ht`bQ612c3` zYL3zD2hlRr4!Qcc(7@W3tScfkabV+#@1I!iEbGtV4}6!th(H9%zhOG;bb59DGoCbQ zQpSIATqv~8mV*U*E+oEZTJ|pYP$zE{~Htb3@_Bu!!fQ-cIm|rk8slu1$B0Xh;TXuGZ zC<~XQz}h~XLteJ*^9wE6LY+=Q@zRdGbAvdUVt)Njv4#Dgg|=>3fc925@s?BRpOKYM zvTQy@m9}t4(!4eQOP2{Y-A{3<^D0x4yU;OSf!A8W`*8hasuiQ-bLWz)c z_*wwwHED<%+4;i){3}F_dRnS!(7#+N~FunsRGYAg(I)lm6%N7gElE zy*GookHg~=>w}^}AI?6N={#5TJJo8k8cFbdWWIab zYqJ8i-L=Zy(6wNB>guUC#f1?WGSCs4%+=WP3~=QXcx`M>eOSfZ?$Khjdel5{^Z6gv z**A5)wurty&(GH4ePiA|F&=Lua#&)qy&D$wQnWTkZ8}RD-i$_gr+Bx-eW!i(s7$D2 zTKDW@np1x`6onZ7soF6B{lg3Sc6Bmie)FE;3W3y_2GVV)C57WNN$3p|Qqa3*jH~-V zfM7O*B$GO%@&HNc%2q@V+anEcv|3o(c%&{ax>Uj_c}sS^U)Vq-yiiyn_|9DY+I#Wc{_x?~;n#nr1!39tr)8yZUVl83bxKfrI!V7)>@reV@Vb;p@u<@fAi@g+ zTH(${x&U#ei2j`~a%NOa049GD(B0p;UcUScsC*D$*$>4gz;@1ceMT1&JfTKaAUSY- z&2nPhzLe?=GlSsJ)5Xk(enx5Qa9Z$^hiHD3G?<@db)$UX&m5>ufq3-X^6cUTK(UvFzt)OM_+Q0(isf zsogo|@o_TFD#=e7By+?`Q=NF9Q9w%nVMH>GE?+jdx9oSvG=ZWroNN44)Z`D-viBnH z;1HJq(uT;HU#mH#k;oauEoupk#5;lG0+7m)uNeSXZI%I2L>DAV6M6F;&1$$`HFfSR zhA!{=tQ`y}tSn*NCLT)8>WYCGT>e`QIh|@s8y3#(v9dD}%6^8yRz^&BD8xz5+~6JD z=r7zDh9oKy>B=DB)HUd9UyQA0UIt8YjGn>h1s8~YqHdp4rj^D@Pq*Ib)QGsu$(G*- z1bxXJ=e9y85s}VAo0;hJ(_0+YCtWl=mKBLS{d|)S!TN;)NmfO0r^fpw;GTOM(~X~~ z6J3U%<0JDw4~rnzp=XC-fNw?&O9s$bZ*Q}oxhc6bCFOVE%Mr`#tZ8q1KxYjrFcMZ0 zaQ%mi{&iuZkAhOx#s;UnQ@hHC2x;A+2{ES>l9Te9c^qh!` z8lLZp<%*lTXH7pZi3G0&4K^(bkvnK&C%ZD3z2PuSZqw8(Pe|;iq?W%q)SjpI2d}Hf zZ^w=W!^vP#$!tU6^iZ(r8m+NMPo0W$1Id~{;ld(jSOuN(-CjgSbnE)+ba2TiWw-BL z(~FA!!y-w@q-dxjb3d+OK%3+Wz~MnlrNSgsOl`6p;`W(Za?vt24zO4O%$-Jdv&eoP zdF}krIWJKqj)?TOsEKps61v2RtG=U9xLS?qz}0cDNJ(MwwU4TrRwBR0-dHsW%MBok z#%G>%p}0>7g{2pqQ=(u33L3c6Ei6E{XOUBD*c>Fw%MZqLJKcN|s$T@yo^N70ZG;5x z{U`o?$!0!U=xEj?U#wLlboloNcl8Y>!gf!qwDFKQ`C}E_x?1RJac?(46(To%@a1mw z-wPv^sp0#GIn7U5oD7cqBs}i}voEi^?ra>0iOMGi=v=lH_TW|ir~mcGgC(pyV0g$k z8y1Vsen~{{ES7hmY|}|4N|kC>k%i_zRl&^kGoxNH=~D~JwYCx%kCp_{m+DTbh3vuo=u(d-}t{SJ1uO@ zj<&r2@x#R8E|FAF3<@No@`=CcGg*oi28AL4t1z3|a+hSLOVjyAKGixK;Tz%k^ z3ZgVx9FVg2ejg||WL5C6)i>PFOlO_y<$yXvciK1FLe0fZYlM`-U_wfZCq&N4rwy<9 zGte$lkxZ{@a-u^3KwHe~QgFcVn_SWj?OgWP>p(b|^|kcxKtRC|b5AWAcYV|J;7*a^ z6V5RLjEpj}B@-OEQX_OZe}v-z+tS^L)R@(2S2*kcs&Pn;m19)dESlpo!h-hzW`2~a z*IuLs6g_QU*pUTuDxH0uukeLjOsI>6A9D6>7D;>rn|R0w39_R`mQ=?r*~okp#uKRM z9DBi0$j7BDA-9n!D5sJB%lo|%M}$~*StH|-nMc_PujV}Uv2z3NU0aFg*^WZ_-#^h_C*Tp64pW~j1`9Uw|z_N*I6dtDV+uQkN_tW(I4$l6@V!i)2qp6 z&2C)$@*{>|h>*1O;t==zn?V8Gh8W{uf@VoWifQ2s-w&GvUHf-lbeG6zx#*=G2xc!I zHWqmRGFa+HN*1(V5rFTd&vbGZr|>`p+BAArNBEgnjdMtdZ7j>F0$!_}V6(&=q+_f# zYnws(grZtp(2v_WXfq-X1yQX-KiEa#=dZW$2)G~_5iRXlKBt&ZfmVPq9G6Y#J7L{S zVYCsgAJ^__eDN5_miZsr(DJYTQ3q2Uhf*ohtjD5%2T|4^a)ts#q5RfqL-7RC&>k>{(?75*rW{Pxu zE*sxy2s-ypCL=FtQG-KSC4UR;H!bVyWZQ&TBPq4(_rA9H|%G25RWu`ii|Z!K`sH1 zu`N4$MfNCjD2W(?Xb_KCNkj+e6rF!g0nA42=hXgKy+f{0gQQG2$AVd(UVisnVO`r0 ztm*+@FI>@vDI^lsFSeq@Uxl*$shW+jJQGo1ncY8&iq3&pQmRZFXvp4qe~rHH9^QD8 z;Wv;3qi&p!?@3j)O`LKA4Vv9)H@S!R!1g`$E@vGKlh!}*qTm=t%}MZ_w)EJ%zNzhT zy!v{HY|Ir%d;A1mVFG{eGvE05zWJP*x#VjU)R98eEh0z?El^90O1;dJLJI0a5$U|L zB4MEmKvx$a&Y2RQ;+dE{ug5RPF)Vt!Svx#0%{{wU!3ph%Dd5=oZHQ#%p7M_c%CMYI zede&xyREB&^Al(KtFj<;dske*IyqU0Ad&R>JokPBi9alPm0BF=%pP%Gp;;blA4e41 zi;phJmIhIkNZX3qnwhaz>Ab}Z|E2oO zwb;%-#r7tn_opV#$-5-v$9*Vs$W>J50ZM*&pEfd2lpsiRb-$C$> zB*E&LeN&zuSESU1#AlE4fZ%Q;a%L#;{jD^9>|&M4O{J~`k>zgiPVBWyj|s|PUV--Y zD|HB}cqee1XbEGs!h#|DOQ>V`p_)HQB=r}h$HBLdfvP(1)sHKZRu4Sl_m5|E zT|Q{4&&SU6I3GPvH+VVUXT`jJtA(_7<^@A7+QPmFQ{aKBUjM|d9xim3QW zYj<+rpPN_j-9&R(d)O_qj(NI7dNoA@5+vlt1%rjg%Gx{O9efIZ2vz!qiE3dSuVbP| z;x|Y@Nb<1Oqr@xcB)u4LoKy{G5_UWf>4W0Nt?Av~F6eiZmgtj?+11!$tW&4}2oO;$ zh$$~XPV$zMF~l+im&T1GiUJNk6e17h^7DUst?5Sk`DO@RygO)XyT)<3or4?%p)w?# zoG%XmuEQWLc;HJ=j`M>ojl|k&c$6`n$HvUq9ws1F_Z`*2s%gqrw05z0FxI{#G-~RP zAedV`*_JG^nH3N}e)7z!HV@W3#_Bf|ca0|zSK0&Ky+PR}nNP+8>Zo1Bnz$&UKU;ifV$E@!|b!bs16C<2f92I|fk zij=xYWR;~W7hQhybO++S2JhuPMeOd(wMqw7JG@sYgzkNWOB~NZTQyHo7yTYbBAhA> zRu683=^a9}`C}Ith>)TRttC?Xp;$jgSD8iu8=J|ddD7-P_}jX*G%5NKM9w}R z09EnaRHvNq%B(V$2doQLBtCuwNGB=`H98HppQ41kQZ8FGPQPao_z1eTCY2zI!uQyV z#mUZWmv%>#mk#`Q_t14X3#W}8b1)kuKEQUa#E3^UIH-X72;BTS+Ah4^ear6_-X1{y zZzx!n3l#G9}R!@wKwBT;X63<8lpM+Aj;&Aq1CHi zP|U*G%4L6E$ne|1pKaP;f8}UZJ>kL#LiY#Jl@+R>FhA{En{r zwvm%QwmH&$Gf5v`eJRpmhOQ1cP7)`O%0ulS?d%alc6k2`GpsN0??#aYVQgbONrd?v zU=_PgxAvzsxUw!$Mv6+wglh~NSl9#)I_&P?L~AAR&mIVk%Vw_Y-8yFB;vXOhm_;Gr}5?SnG&=d7U6^$cFUr`9(j zPqLEqagkZm9pZV~+ z@9M_-k`IHJHfiV@s_(-$y?bH@B<>N=pfHdCOS?`-eQ6$|$tnqp6vD)o&dZIsJJ$C} zpbAHUm{dU5EzG|Y7?%Z9>FhLk;5FFui=4R$+r<_X?4o8nO<>Flvrv@2Y9l$o-hdxI z|I{cSqt;BI56=9@-9L^awg#$iFr>hjUu^2O<6pG?TkKx0$FPS@wFX22F-($0|AGKQ zJr7BCuk5)ll>EEQY?ufRYfqNaN{7Yaydpm@3L8`;I~U*t435Nv?SB10#s-ADXzzR3 z=x{q-x6qL!y|It@?1OdrRMF)_WielAAbawU<3Go%Y@3{Ipafq(geq2&7svn;Z5F>y zNrc?(tM4y6Qy>k2&}nEHBV>Jgd`z{{WAl?b}g zzhWve^RhhrUM~EsP~Gpn!yQRa9)$}$oLii}VUa+mSN!eC^TSgD-idad-)xnMr}_hu z0f*sYKFY3z>R0IB!@~2)yDE%=Mbwjy>Dlv0Zk{V&#J4{|iS}zx^hPh^)KE{6e$tW} z-(|liiTpPHMCQQLASaUxqhUS_*eS`fC#NmrfvPad#+IthhsQx8l%ZK}vCV4aF^Zp}1?YQk=riL1V^YI+1Kja@`j3?WHF zhMTRsMjTy(+FVPpz>e3qW&bU48FtNHIs5Rts7R>_wPpNrl?41t_Fk+3Jq(iIKkO(~ zw$qLCgPv@z+E9aK5Ce_z5w`Yv@(I@_5NPVfB(=s!oGJvIK%@_5Q4UC8UjHxZ+b1r8Nz^m<&Xfmm_H^U zF@5h|EYv}+4PQty8t71F%8pKb;hExQ=bGK8qK?Z7ClPf&6hF%k3ls08$Ug*&omx1zfW`PQ-Eg%0t!HJG-L7vFUeQ=q`sDF&{q;e z@am&fT#hH(=WoLjy}yUv>ov7jU3G1rl& zQK^^}m=Rb*Osn*$@f%!q)hVm<)(U<=AxJg`*}Ea)CL=S*B!7C3X8ImYm+av8Z>zJUt0`v$1<^`1#`^&9sfDoQ=wFP?I7<>W#1u9Q3h5 z$BVylnDeJ+{8G7zT#hWs)MtoA+jld@{^4+;UvsX-rQ|$0trm$g{^8HpghBgO{&nxN zcLJ@>qemOh3*>h zp1pl$NALbeD!$;@YzwY7^ZE?8>YpH7F|RI32{?(r^5v&2)D4624u{Dt6p7&l0WMMq zMdct1k0E}hCA9=OR=xFQSo1!wC&6|nk4OeuX0z@``9`$*{CpT$zx!?dk^8$00NEpG|I<7Gt1s=WzpdbM6T#8?GaKYO<;jFtd zxbJx{_WT&b+G@N>$G@^27W1ku}s}KE!L`nEjHim|nah5l1Bq;eI*?XDy-bzP9Z&-64omQ;7%sp_i(SN<% zpMCq6=J`U;p|zr5O)uTJUV<>dDE1}`mu>3GX z)wDug;;jVVg`LmN+-P&wC6o`SO8l?T(JDzAMV1 z{e0bTx%#9q*F;IIHKDd_)VTYWRw31zg7OU%Q8YlIfg@urLKQNnTOY@x@si`WD%-gq z7S7qhMRU0-L5!J&V7*syl>`a-H=o#ux(s}kMHdWlUdh2}1)8G4IzSjnA9>feJTxO8 zi}rPQy*1|PDURVr-5L%)&d)^c#Hc|7pf6~t<0ry(@)NJCZ;aow5az==q&XNGfF5lK z3Xt*_N+L8$U6h0Cqi7M4XZTtd6smSAJkN*4cgd~2M&jNtB^WGoNsFjnzE7C$A ze7E=u5A2JzIx0eyEz&Hs3ktCwKSl@{`UWwK8Nf!T{=mVd{&JbVtlOj$F!rd-;MwjU zI53Hl^o-7XBi4a;R1qrK;WiLAla&P3xo_yyxBN1(ev#|;xf_Km6nA(PP;GK7Ef9i| z6+}r93XIVJY{nkn?=O0+cpgzbFOw{YcQW>2nuH-QzU_ElO#bD9GgGp&d=neo2B=EK zBCTzG;wQ0j3kh*|f0uG93-PRq`4x=xZ$|AaDoYlOua(3UYsb}z++Lb3R?ty# z;}>gs^*}yH0qr105X#3S)M=7raV}YImx3usF2KNdwduUw;LgdXt$wY2&PKdJ!cV04ZUTN0ihXc3)&nV2$z z*Z6S7%4NDa%o-ilJv(0AQO43h5*CaeLto72OK|O=dBXR2ylVaJTFT^_VpSPjErQ9_ zqrNa6*$U}Rg3=JVs*E7q-RxN@hkNLb*tN~NgR zK~n+9*`%)5mxglEE!pR$Q-2q3uwxNSdg~fOJRga+_~M0|i8a1LUc@j z4(8lC)QouMiy1gGe6>#})k8sn8NGX3))D8`nRHzDS~9bt2}hpF^k}XB^k~OJ8==0U zT&p7v52|TV6y>sHSxd@m>7f?1&b~lyxW8;Szt;8t+DFbh2y)z$j%?e1@?3Qwz1m~_ zdg!GK*R;~!qSuTK~_bfWctVXv4<)8H7G!v&%^kHTIx1%ht4zbGfcJB~NhKw-z?uqlRfwTQFoc2nZo$l`^2h!FNwt7U(}2kF z!`>gKD8Vp@{A5VWq}dUF!vhe@8H$FJTmFdsJ+{GbYEaJGU9qh{J%UpMvc+9&J(FTZ zZj|LRBK*R*=UjL#@Upeh=f2h~R4SDM39BFl)!}nqId;3EkWEY`uDf@Bl91qK!`5!C z{)u5R6lWy66J-2g+bfF({#0eF9P^06YnZ}FJH}NzQE#KlQ0t^>MEC~KTlP3D`8~MD zjRlj{{@xrIXeW+k(t+9IpH!>f9=e0I?Y$pbb=rIt;vXLnBi^U-)}Qh1&IzbR1rX~2DCm6>Wvr0tcJ!R~pUgPy?`Ch&%NA${uZI+Aspsg+a( zr6HS-_KBSx>)+I5T!6;yD%a~YI<}-gZwQV@pt7=?pn(+e#Ko^~9yGPJ$Cz&Z??{rG?#t0)%o<@2W zG8)m8y6|eUsV=|sySarE@Hjo9NkeCd2MCIA6D&L-c2mz9x(nILT%s#kmc-|4(EGzU z6-Mg;2W(6=i>{hpO^KS&!7neDFS<8gnUgcgg{zJ+Nbq*_ks4%O4M%#-@Q5 znLqA!?N@L2r9Ac#kWLOBiQCv#CQ>k5_@ObpS{lRz_DP8r$u8ER*3|X+m@Nun*t!$n zCN2+uHB}5b7gjTQG3>h1{p@ql(k_YK^+fQ{$DAMoQewbnB9QmkVNPXgin)Btl$$LR zO+cGu{YyWsHTu@eS34ARcnWgy~Ej$n{>zzIqO{y zwv%}oV%nF6LOhTcd}0nCkS=NrzRIM3Y6-lQH^4xAEk(+P4z3wmsJ^F9ZZdqk{0(hv z*3`&k>aYiS9RF)&Akb~=6>1K z5^bQN_BVM@XWe>us%Z%ni4;Tg^aX>)xLi3ZeBmzi2BV{KN=tE zVu#Up^wC0GtoJ5}q!#JVZk1RuZbjj3%py@X0RAwbaU%Wsrz}j-y_>|xl=S7&%ar7T zRjNMsp2z+a`mTa5ev8?iuA!~&^|#1EM(lF{IKIQV#N(JsIOO@d@fH@ka`EOhjnc)6 zSi&Q`p3x6ZA{bR>%(mw~V>z}|Q&TxH-q#gOouQto{UeyV`O;f75@p4TP>UPmRe@`^ zQL{E?KA0eY4fK``^oB+WUY5ywHp1EP`SZr_Ltb=@O@!ZuA&1*y?N8o9wD76usEt@y z5v{(4nuJQZesQ;+S-)Vd7?=E$^vYX56N+*l!oKa+yIMSFn0JSobk%CPv5$5yP@YoV4mQC zZ9Q-5tw0K)5yIpJY$*Ey-8OqIpFSS$x-v+utlv}L!Wsg!HR|!c z&WJ!d*Kd!Cvi`9)+(2WT&U8(6osKr^jXxMg_ouqOsVXG2ASz&v*#KhA*I6?)dEhQ| zpZ9Fu<%FX6zUm`{Op^BxFS6%`?piR3A=thfwnl|lt3?&YJIF%tT0eNjm8&XaCMEq; z3jOrcGgJYE7rB0shi2;Y&s`a&n6fw_dxR9k)ZK+DQ`&aoQ{2{f;6qD!A}$O~A;j^m-ARLkHEbDI*DHhD(}dX9FG>C)jf(|8Z~pRF9UL@G1VSU_zlDnG!ss&*bVX0$-Z&hg3XRIYoqM}pZza#nMc3iB0o=%X z-=Z3m)LQ~j0Vn`204ad=(c~OuQ&L;N!ZcI})#D@@@B(&+U_++%&+rZuVMZc`( z*T_BSL_yg;XpsdtV!ue&vy+jWKv*8!R)E+R|IU*mGTdBqqMdVNJ>wsp^zM3=W~?!) zn@lCjqFGHqP%rnDZ{ZdS_`}bI`%Yn@47&0w-r|dscpZ95_kgz(y6cEQPQmTCNc+0g zBk>*Mnav8;-sEidO%@0k$0v@+v%yipvQwC=0Sb}<-bJ- znH;{@$&IVTi*CVy$3zgeKpsUHQ|S7@#aN}Pa9=@4pQYsC)$+Kmn`qa|(cqrfiw~Jd z?07B1jkbsLBDxGrZzh2M@Fkw}v`PP(Vw@9FHaYyJ{C#PU=5OxlAZlu)&K=Tre};Hg zw7$5I?h5s*Gm@V1CP4mIL#Y0^oBlek85dHeZ#Q^<#v2R7zXAFoR(=1oqwiP*;$96Y z`PT9B`~X?ofVvwSPgXGjPUH1fn=_g#ohmN8$lXEhFAZ{NsF}34^rV^p>CXwhWi>pl z-P-T@cP@G!DWHPKiWq-B&$&74kEU(iMZmL=5XsOa4RV8dhcl+Zke^ zaq8R767UR7jA@-=k=OIOzRGHjb9%4}ONiu#^v3(qBxZrU72ED$-BgNw zu)*b);~` zjRCH-nMg+E4nJw@=lMQjkyAQyZpUqTAH&R`meuU_O&*#m9V|-L>XwdHO8mDuW3n!L zz{jF`YCt(D`ld>qsg_IleZzb+1jhQ}3)eSSXVtL8cv@TyJrrCTdT(t{C{_G+2lL#* z;mm49^FzqeQ+U>O1aX*Q6$1&5)y=4d5(81+NWlYE7zY4eM)c3M8!IrFcA)3!Pz7ny zm=bS8Z$`$@h-{K!yD6-slql(YR|d4>RG3DkjlSfSc(Hw;LoquG0G!T|@QPx-CV-UN zpBdJi@q-4>iD8meeC#-kyk5QA-8sU$?eU|BWr%?~y`8`n*vRQnT)T;S| zCQmUeER-4hVeh|zK_Tg*-_4?Gt~#B`hD}~lpyNJ-h=)=hY%G48H^7ojNEmkSF`?0W zmB}R)EjE(4N$CyUmonnaE1%RVv(f);zLlvDV}srtUgfT=lpZe}lIRJDsuYak8A!VL zb?;@-BMUxgzlisKY)8UOC)Dc@|6{5?>)Yd$(A~oYLa9)?u#fq&2a)6(nq>z9K=`QF zd%4JCHE(`l+wthtd;3OP6o&j}hSb~oxV0Sqk0?f8 zw$z37)q=H=nID8Bt!33a@ILPkclXb_sc<);?w{o1qK#eN_q&3U8Mqf>?8(N*{9 zH-5y2Mpn;1Q4#=*4JpsBrQ~jFdcp*F9f;!3=6Bm(!kj&+5_(+luei;pERMsd0;L(ycI7Kg}-Ch?h(E=2aY zKzX@_*2?1}?7aKFbT>Iwow?DlH@<|8qFj=O-vDrsK$|et4xYqaL^M8KOw|_<^*0IN zfJKlw^-Chz*9hMn9<>zj?%~HlA%i+1fZh*QVAgx|PGtt%>6{|HQl$+Nf}ptU>g>!q z21(_NE-$Bc$&L2cMWUfNyo{jg8^+ZEjt*cU-pYgZ2ArPAtMJzT=-?&zjB?{FlqDB3 z0}>Zv)Oq;6dLL%ED~e@1S%eOwkQ~qp+0^3_+L__mm6)6b;e#)CRc2btvBS zvM=v}USApW_IEW0E!7kl+sS108db48{kptXO&^md=4Uu~gFf$3w=MEPtG=r(J3;tS ztmY)=@Nq^!Y2#-&^qI<{!TuRN89|l-Nt#pMMJGo@J>O%?Z&*&`Efk;yKYsE!n`6v~ z*mwS-1fQk5p*H5^*^C@AmOD91FcZTudx(qlmJge1MaM znOt&czdypuc2|R-_PW#qEzf`0s+1E8&ia1767!E*(@PpYY^9pq{XL9u-mdO4{2LaP zlcl^IvA!MFgH`M?B`t^@Xon-@2VNHDIvCzJOdjPbX>jk{qgB?RvIScIHG>%$owkuP zp=HcbPwquuUc9*M=m~NQ3QX1(Sj+CoG);s5_GSm{hKWS}0NEkuIvcV`3Vx`2?pa zD>#RP{ z!p9q@>woclgC=>GmSpAWPAq-1w0v__5L`o8A?Ra^zWoup`QO@;mtQW*yb0RI_l5ZC zBU^J&y(5LP2&c<= zSWyhTDnDD~oZP(e+$V^M@S!uQTgK^gvx%fqE~*p#XcTLVla;l2?{NJCz+1a}PPp=$ z$EAGEFTn?((Y``MKEQczLK}877(D2%FR7#t1CBB-*0Ir{BtT~--SyF0U%sfr5q6{g z$MN_$A>Z1y|X88>Yne*H2#P1)M9=X&S$!0dSa3!U z_oLHYMIdW<&y%*37cI+3k+$ZX8!4^C54uH^qzbAPRg-`vTaL)6S+diLj#Zxt*CU&O zeGChFACzp<%$4_CFS7E>*Y^<>YxJ>f)y^(fI3R(_*~Faj%fsH?QT`Uyg)q;3HbyoA zJGuh6{~x$u>BQ@!2Oom#F$XW|$=8u6!Kaq(u!gjW!T6nypUZUg7!w5*&eD+Mr=iUP z`MVPj{^s!>MEZ`kJBCo~RGCdrnapt1Iu~ba^y+{Uo z)tKUwxcMimNPh;!n!QBKL<}Yc6w7hYZ>iGBDcm?WH4QZ*kPkuCp8a#pyE_f2tR;Dh z(u2IF%j~wERpKWi>@yf3DXjX7ygvdp-H_WFvBoksX`v+C*|X0*fGuLSRY=~#)Is$XSDD+Lc~;nM(j5k!KGPkgZf09mmj;GLw) zz(4fn65A<1>jqh8*kj#P>nKr64JJdOAy6(H#H9ekJQ-eNajQJhHo0Tk(IBN=r!Opl zrp-hhi0Fx<+nW>J$ukoDdiBK0QwtnDCCnnAMN^ve<>?XzP$2m0QMAk%uR2pW*KbUKE`QdCRC4(~6kR7DrI z>4PSClUl~V>NYUV0)_5glfg%0;$31J3$Q{qEm^)bS)+zi!#{FGX35|I#Cyxniy$KS z!Wf<8(EWi1?XREpHt78^vyDWH$Lpo!{dPTPpDgT4;;$p_DnZ?L*#J{v$Zq@`dKfdW zS5)E5kU*2Ly9SQ$A}JO}_Pg8AY-m(T!d?oVdUkZnG&j^9@tO#M|418WzPY`o{xH*m zm?i4jiAPF8ekZ!++mjQsKIoHxVCAZ31KzalLkHGzR}@>9|HA^*9`)*}qPF~z^a&ya z%ErV7cvsn!SZ93ezjG@R8coM?Q$bqH9|@g8(fK1p{MkSjm&&OV`-M36 zt>C{~Z<2U>r`N%sR)%OC=21l_xYe&CH(w}hUPe-#@K1Nk$AJ1{{Dn%lf@5g>$-)rl zQx7_KEZv_a48*Tyq5ze`t(`cxB_2)@82A&4iiyrOPSahw$X*ryn-e~$=0e$^ubl;o zD)<7cLppRSls@R+M=wpW$9P7ouh*@JB*)9Gw1CUA!=?x;jWmT)xiD@_CZ>x*6VepC zhB#!1M?bY|GUwO`_E%(~#5)`Ns^O+d#yezlLdfO|-k~9ILPGEMdY>5@{AH;e2Am=>!u=t(}MyJ`KyqfEV52&aWP)6Z&1ztk= zQXVL{Yd0y#ylRp+4x8>fDwu*7tdn45cPNfUVq!A>iHTgEsQN`bcFFf44!if~@KE!} z+M(S_IlD#`8JzgJX|`j|7j2&-S>1|BKLPDbxN;k1V4vRC07m<%G3`Dhtm}Fb9{F<2dD+R%bfD~Eg;^E*k|yv9YpnZ5usmOqm+Y;9&b)Wo z09HMNQ64uo8rVK|=_S!iw$d~^-yVR51V&as-U^f4%Z&q_#_D4EbfwxBGr@htu(dT$ zqj5WpbEkgsIwf@pqWEy!c@f^CS35Gf=Uh{B-Wg`&=N(wYFsNu&;S)Q!b6bYp@E~zS z)3?Rc8FIub)gpmM>U8GEyi?Lv(RL|5LLZE@6kMMsKf;Z2q;%fX%OwiiMoOO!_(sR-}}8c-I}ab zMey`4#e;v}iLaX61c5|waJ|uqm&BwH>fWAP=cPHKtlj8Hb6$-ejb6n~nNK0`Whh*Z@_=w zAXYwPfy#V1Yw=P38-!^lfW2;6!0?4S^Gb^+dbNRl?)Q!!Kh*EzVC?ZmWAk=R&FBRA z>0KWq>B7dXcx@UJFNL@p4h?;QLHNUKEHpoyKhQNuLLQuTh_Odw!`LzsI>|BpG{~x| zfx{fpOIK{YBgWRF(qpv500WURY^Q;$j+kZmZH(3yrL^F6i@v}^OysJ`YE+xa2(*J4?d zXmmBsX0jf0c-b*SaFPORXTa$rYr|DA3VNF$kK2_6it;lbfiwpg7ppchSTnpYl05zuX+WVKT*2nJy?QZCukcriz4V|uon6PPMCB`pS5 zgGrb-9BHGWf@6;vv%KP=qb|c0e@kV}B$KRB`F89agJgT?T&-DUA!j={=sRK zwec&BS4nB(_;48!WPEeLdh$crT_v7=T~16-M$ANpJukdDIwsGBLp-Y=d34OZ`2|C? z8|5oDm?FXQfluhq)0BRxSW8A^aTJhEqnfh{6y7ezyg^2T8^=V34&S5*PM-^%ym#V? zOT4Cq;@xN1Cq7{LAKa0zd~m7^%NFscCTl+NyC%s}lR3|2!kwn5u%^YYxZ*)yhZ;Vl5^=P~ukQP97<^O~1-7>nBbUP$#UT(Aw>|yotK-1YDG`x;B1V`=D&`IN@ zc_V|x(NZ@Nz5BGv!)IdU;tbxiczHvFuIk=dI-BC?hy9j+`->AY-dxHytGVGzNGgubZ z#t_L<0^6b&S;GopR-g(}?8@EqhTjX8Yu$+*<$cdPX_%7#FoUeE&+u?%XD@%Oj|xQe zZAY(0&mjifG?*DfqwmX`ll1M%g{lb_@kY-iM?!}xQ+!q|vX$G zE4_jNzf4FzXuu(b?gBNAQzLFGrORy1H74m$(8w=>ZIykfpF0I?WSlaATc^3@ViU0^!o;O;jCbG1t!x|B zoBbe}7|Nu;Sjr)@#In?CI9zAADy1d&SX_^?Md1S^8LjuM?A}ZyE01ul7}L-#iz)1p*tiJG9H!svuvnGsEQ28)$|+|%cU;JmZJ3ljF`e=mb+X<0JMA4R!^ za*MgdjE+cPKeZSkpk<$UYks-quqGE7PINxWt?aD^x!l9a1!+%p2o@&@M?x%H{hx^4kxiYh#Hx|~j-Z|| zP;>0E=p~%fB4KZRM-|?*$hQ>Ym%2AN{L){OPhif-fUp&I#scueQH%ao)9@9Wt0^Yi zEX>|y*!4AIQ*%tvyn2A7VNDus zy!jw&QMESpGZcJz=W_!+CH@qAjp6URO;;l4i@zn6U(zC6H^awT5jO3K@uI%w{~aF# zQC3$R#-~mH$ho~p1pxKr)5xH)huuuVfCq$`ndR?&GO84nYi@H{5MzrlOKh`CtXLe) z)vh4~q>oPbi1nA|sVh`Cw2Bu*!h8tHxNQG5{<}{5wTGBFt`3IcY#x+ZrL4Wfv9+{7 z<9XkQJ};yK!EFx82V@~V&p&){=a*Y8>+Aa2Nj7%QcK~UVCG1ikGU1rL3XDXMSf%Tb zw|$HUAw^j}^Vq*CPw*ut5uNYhLFFCNZapU$sq7h*7XBuZN&l`WLgHZ8r&roFDQ@G9 zqQ|+xekN7vxwA`s-uG4SHHY4QVNFzqu5_+X?m5a;h_XU8UPR}};&-<+o73OC@7L0Y zKa|Sxz$vQdZN8H+z)+OUj)g+77Rio{mltJLzZEJoPL=4~C@B->=P4rbg^0JgkiF{x zQYce?x0D|dmR+^y;-kWH8ub-r zEJXaYY?LMHGh1N6^`E4UKyxQcKlgjJ2+eA>9BW+yae!5g={S4eC(!x|K_?xFUV8D; z(bBDE>C{LIPV&H%3ETJQz?0P#Yq^*HJzm<^ml@c=Kjb_kR|yJ`ZCF^-M|_;hQ(3+r z4o3gY0}Mla;!7<$Bb^a0FM)uT z445?oMFInjmX*yGjuJEkSW?jgdXp6~#5wT8OvYwclaSaabHyc>11pxUo{{&I7}6Nm z|KY<6+>ZN;PUS{E4R-o3fHV*8<=72by=O8D2d~fjw!1V~|njP1)~nalOB3lG|VR8IH>b?@fOIy$qMek&C!1 z4O|S_c3z=spPJ*C`y8p5ZBzto04C96Dq#A}yaB+8psMk0u-c@*Z-VVlm)8xcz?dQ; z7N%p7gbvnBa`lUXeFD=1px+7=2k*(V2^y?pw;D}N)&>??+5krml%Ea4jzt@eu^kL4 z|6VZu%OFxKd%g4RaM&dz005hQM0o6^62|l%z8Jt%m=XygLz?f4A7^8(Y2`fJ-b46p z?DKk5njvU&H;2#FX=a#o`#Jd-7)~uecbpLyDit)DI z#a=V`RvP^fpZexZl;R;4P$?z&-M23w`rF=qO6dPa95Ngi!1Z5y|2P!j!;v{n|1yjS zf}i|vD*ng&M3>|$vDva`)adq?^~8)>Bx}Wis>};-R|8m9Yq~tS=IY-ijyyj_A_SEA zLar#3Z1I`?FVVp3W!FXI?roo(09Ev%CWvDk(zu>zFGfofG^Fck}XT(m>N~h^>6pT<4Jrs z&s|}}JW`3uAy=nhH{0UJLCaRmQtcRMh54X`Ipa|s}?>54@LcCgQ@j|?*6ri;SC zR|j@Y=L$9Qu*V7DE$vsmXb4bSwwVXzF5@T5X8`W57oMYi76!R|^K3FZ<~kFZ%OfkIVrAhK~;M zH!d5>ahpG!bAifle*t0?Bu(HO*l}m>8XL&U<;dZ_6EP^1IT}SsR?7XD5A>&8$0N zW&P>3$NJsx7CTsW3<*Cn;c{&~Y3h7ZK5&Q75AJ=y(EvN4g@>Gyr&?-b7G5h9Q+@)w zc{$dI?P>l{@_{p*R2W8oF|=bXsF?g%_-jAyc=Wz<4Wsh0LYxWV{faEjxda+Js3>T< zND~dMF?W?_y*a1I-a1!9v(-Ov@&B?FO0kBxg@ggcT3wxW0#80@ZR+lmL0ahJoiWaC zewdaE@2+qAN7fsyLKA-@GBkucVOgv{1Vl45)_MXpcvW-)QZUaZBtRGB@x2+G-)qnJ zC6wi_s*R8y`XrM-AHcV$M20jkC<44fKY5E7m{vqz-YT+l4=^#Iqx`z68MxN1o8^+p zYCk3<>62oRlHp_~?|3+h zK3|96r-a$t(V^4eu%|a2SeTP@9-r$vS%Zt`=jE?s^WtVlHjw-DDvRv6w~BE?ya$@d zi`iO)($N))W=sklk-2H~&$>+kX84(pSwq0RMb*yf&{m1ndPs z6qQg&{lh7rd`1yI>5eXQthfF^b%46thMqQ?hj(q)jKtGwVP&!KM8C?8D&U-sN zI*u>~WHWv{(hbC*SU`spZ1JiXA4$vZ4{8AtzAz!>pRe7moJ1k^`#3)z_upzu?2+4l z)p!6=xyV%CkIKfJ?P_`qu-DCgd>bPBGxKPhWljuM}s5>|UXM(b%wo!Mc z=OgFgMg20m3O$kbbo%x7y9VGV1295}!836y<%r)|p4?LnoE~w%h!qFLqAhORRz>-v z+50_A+twF`0e#O|>)JzSZ=Nj?9t=ut=!`H!`Q~e@8r>OGudM|VR>pZOWjFsA zzs1K)Mx>P_@KDG*fzc6R_7U3yDmXN<9y_WiMVf?7`hQT=Y6SED#S;}{Uvk!Y1{yO| zQVXu%Z_BW$YUjb}tZo0U(lhZ2`rmA6r*BeAF+PF-hEH@pI`SHUc=UNO?Q-$abjvYkr(c2g)%fnAUI(6P-L<+ zB9sdz<5~SVl*f`T;E!VY4XsV+t9C z2Nx~)y(Os+7dS<47E?G5mII`K?t^b4X?d60zn$$jh)zOzkX#&?TUk!o*jViwz%HAA zsL;Et?e4Z%Iy={f;*+I&xiPcR%Y_VHWznwC{fOUIMp;gVL#w=^-{LvPw01A4RiOBc zVp1_Ff0(j@pCnsc)&`q<{9hQY-vHu8u3F-%a(Rk!c`P4iNyjYm2RcKa#FcE5HX3;z zLC}IXpCFF%hr%eatFB1S{XxPb;%D_!h`7s%FB$UUc2^`c6k$P^l(43|-Pks+k(OJD z6Rt3i>J{!#tr1oHo`X~zIz4Uc2M!9UJ@6|>{#pTNPS*m!i z`Q%c?oJUMixFKvy{))^SSx@MDT8#YpWP8}axW?^mKut&+FZSD%JLk4-8h##MXSnKr zf%)d{0G|gmtJ#>Gucc=p2KC|*NU)uX2V&2oeFCN%PQ~ZhEP9t3mWVZZ=UZ0b(pBKp zR3gl372k|ce&>?iBr z3--%QOc>}tU6xr-MLG@7gs-SzrTtvB09J|Y#zj}8=Mxh>r#=v8mXBGlYWTd>G-^*2 z*-3CFbFxnmav>7jZ%lTLg5{kMt%Vhxky-*APwA)BiLt*`U- zH%U%y<4nTU^$6l{0M&W312YBQTb9DsiE=i}wXAP%#YZ@GkGsp2{+g{?LPGu~PXUdE9@t?38QzY-!J1A;WF+D9LlTyEOVtn*2*&vMK zi9tm%Xq9N4J8`D$y{t>f68>f+Qz0RU3Ac*hAWV1vgiwFR!1L=SM6(~NbqO;LKUsvH z+4A2ms?y@bZ_Nx=7g~G8XS^Gy5$(9J^A(}X0xgCMS_y-7&W3F973rl*R)w=a{L1E{hR8ss-nT$2Ya>N z&ntSZx70HSm`YMP|3qA`Xcg zfiUv5_Bh8b(dB*!Xd~L4MK+fJ?Ka+LK1|dO4fn83lM#I@I<3gvAcQf2et^39myRD1 z0PF9%#gO$r0v`EcuOyL^fRKb&X9SM5xeGYp@D*GnM#X@`CIS||sOa8J2bd=3p$#Uh z;LQtPH)sP!2uO%9BBDRKw*0>qfEGyp**)59`2l6fPkO~UMaKRI>LM}jsU}0v*Ia}L z3I=4%czrwEI-*Q+%0-N!=hr3QTWHhI$B9edVMUY9VVVj(_Ozn3_oq$@Rlf_{)*OY7 zU7EP<8NLkC2@QjQ!mpJ$W}qVn2<@4m$>a|Pd$3Rp&^lHEiPS1+46weqq#zWv*4XxJ z)3%aqz*>GCkf!yCFova*{q#@As#w6D?(G?&{=nPRIoDoFwY>K-CMN5?Cjt?-j{+Oj zGLIVL8f|qXJcJ`VNn}yG^Wu5hArA-J5MU9r=G@+2r>RTJuMu9K&%DdU$b}>vy|(V`0H5`nE;?0@*y)FGx{=tNWwJaH~;u0(F z+v)tl@fcOf%RAt^x7*P=9D0Tlbw8!^VwYg% zb82ktg<2y88cbBVxe~Q0QnPbHM}2)nAzT+13r8K?XUGL=&-vP3Uv2D&XwJ?1k+|gJ z$;JJiu>Dxc-y7FQ{R4@NBxN7*{7Qm}thu4is!~aCn*8)tvJGGM+?u#)9W2X4u$;^( zoV?g{bj?;$dD)JWdVY{o_h&3IRWGeHim ztE*AW=GJLIK*oN(D#h`+|MTt#hjL&4oGQD;-x*e=?2hQ-mDw^DB6U-yLIcM9@=xmu z<{c!fBJpF>{)-+LR9temw7kMFGrCB5epp_KQsE(;)Yy`4bp~Og?+~9y2%rnqeWYmAew*;X53D|9 zDnS9%`JZZcFSqJl?or!`yo|@)KpWp1D(AD!Occ5d`jJl^VJ%`WmU@Wi#qSr?eI6Z^ z{BP=@_kCj07p6}!rbZmUj!k&EB!dGPB=q77cjSnrH#?IMKi(VIH0*ak3!udLwTX{L z_Z^bdcDk!bzeB9Aaia>gRymDVP57b*mz3b-Xl^iQ;+z*Eh(hY)eeiPT$%$)~LRkz(fEQ zPOPi1F{1DkA;&aS3M$HPg&|ukj1TptuC&Q|VBqcv3czEKDOMt0? z>kmVLXoVd6+EIwm2uB8Eh?X#6W(fi+XAvRhtQ!Il*}(0V71CO@P&!oW1hE`;FR%m*xAvV_({{a z=d(H?S@I4pru2#U%v;C`-e~>%&36OQP6@iMzUCj{vGffWO$YoCB~ahw6zBTTb3wYn z4%+On3}bUXv(kbEGIjQHYza}mK1M$t69oRd^tpoJl2U^qkLjFlkK{c6jLkw-;7=#} zM7~Lul=%$;9H4f3FUI5~FepIZgFp}m#Ti$(=neDl*(1^0Y^9SH3SbVi3KZtIS zc^(cGj@J`!0x_lsJuE2$IBdJcP{EkZWM&pHas<~~*arf}dq4wH?9oPNz>`bb2f)HB zxAV1FGB(z*hj1$?|9uz2S6$#ZVndr{&ru2XsG|GPp}uQy5SlnOiYz&j1|`CFDbSLb z<3ijL6$XrL2V03s)Uqd`ZaL>q-K#kJ=}G}GLH#Mz#Bjwy4PsWgjkvpXvsh8_d6_1i zMoQ?>8HX8#L&Cufdc8lZET%#&`8T&@XI&~x2zimH?TJXVJJ$#gQKZ=4Q#lh#fN7f{ zHdW`B5}`p(m#btpGSh!-`@LmT84c=WctRh=9TvEPQXj<+M91H4w&o(J8UiFcUDmN$o{rutM?CblVc zbe@ZxRi%8;Qs-MX-cKu;z@{sd*}`Jjyp_X&3}7p&P;u6ip3i}CrzLFOqrZQ5SdSBL zcoBw@X`yCKTbe$2OtGVm`giRdx5l|AO3N+TW5P zTJUX&h2QDtW&K-%lnp<;V!n0p<5dB;frz6{e^5r^?Hhc_t5n^@yK7UqvxCwtO3Da9 zew2Z|zOezr48cc2Yqs_N)jw@zf3x}N3L86$Y(B)`=S7hODpaolUqJu0yTXY?~5DGGtarvy01XEqNWf~0*TY5Pddzo{ZK%a(s zafQz1<1uo?0a0ss^1^O_LJESmz{1c3_NvVrRrc+Fq^Fy|3{M^Z9glrRSX$v80_io2 zhTU#U#KvQqy>5~7UtDlUioFBAq4?DGd$$>d7|G%zUN;UvfGt`V*0vMB8yKkfg{m)) zKTRV_wC}DNpH4)65Ix{| zOMQYzn>5}xWy0R!WD%T~TKvW}zI?uH^0YDG#3x3mAS$2OxRiGSz>q7J_q^)yt#4?; z#)O?bM98a*m4kygihsotnLt2LE&lHX9Q`CmGttZ{=X!o;TwdSA84%dQde*XK*?;*i zPed?&g)Kq#=QoIy2bXhG&Zrv0EwoQ>rCK=FH@0Ak-|vdi@pV<;0ivkbEp$5NOD4M7 zB{5qaaD7Ors!w0zjic8o1Je6Pl_*MAfK1^U@Zoo829H#5ls?0`2p5R%_DkX*)tI$Y z{I_@1qS5knh1&oQ!6-%whJs<*L2{o~^aEw`44;LlMG^tb zqMI2{%6~bdfMh9=%;Y5rI zu&mxQl~i{I-IIQDd=kBov-`*R=d>^dS;zI(`Sxa#lfxBY8DTOoVc8X~=8p2dLgCoq z9bpCI@>f8W5@$N!`zwSnF#Ma3s?(W=(B-{IEfFvJz;W85#TZ}AqnP{Qi6=-DYeffO zNBTzqx9||LH1MFIBNQG4tUQegt*l_hdD0l24)E0iumWfIcX4r55EOttcarh)<*lc0 z!T>D5ae?kuke(M{4V~u};hKMw6Zi&A&m2$(aH>D0Mc`Pbpn?a9(E~kd)}9BB0Xuk{ z5^j62V*5GW*la)dc*=x=D`Dr8nC|C=pzou#wu7ZXg}KN`xwIc?Z$Dm?ZD%27zuGT# z_o@aRd;(mGQS&3BVGjXb=$>t)#N8=-m>YqM7yw>uC|D_##)gI9ES-Exf}mDBwX%7# zSDdhnlGpx9)JEaaBC)2*yZqSu9aYT)bYK18v$@xoAY=R(O!h5xC<*@^&-U1!L851RnPx=C{xL-zZ#xVWTiMP4 z%P(>PJ6I-)BmT0w0ImP|;ACrgm}S9znNK)C&St8wB`W?&q>F}OR?+m)c;F_Dd>}F6CT@-D2usbsuFzHY zd-h1_ycGeN6B7RR3cDZsi2biS+dDLkx$L( zX!Hdc{Eb9#Wv2PXT>#xols15#Y{sS`(J@NF=mRUDkLFF^8*$$&P}{d=a;sG*uITON zKEQ4OHbhYJEdmb&-#wadTP_^ZYd)A%qD6z_U{hA-Tu)$DphG*9uW_JUbW#jYFHYPE z;Ju_^Vf*O|kizgY(aTCfq@!lLZ#RKp6mz%(pi4==l6HJ+u2fYwA5_`4pL6|SlICuX zKQ*S+%lGy47`G?ZSORWN9FIi&p^ql~u?VGDQgBBgKyDRrKkKJr*!N`dd3@%{WCe!L zis7a?Mae-(+Qp5yaiV_pghCW4qbk1VpAWqIEmX38e?FEWWB>|=L$Yh@BH&)LhW(gE zPNA58*N0_UVhI;v=rw4FAoKUd@i_A14ulWSk7XvEkPW`hprKmJ|Eit^gNpbH9P?J) z4&sKtSV)`0R&b{;Ng=1;=$i}uw$e7xZUV)uCXo%iGOU0-ic%nuGt<#tYt zW8t1?6eSg><_?B})sqi}h3?r-ja7A14w>oLzO_L5X{w1 z=r4;c5}Q+9p7Dd2X0h*D`?YG$U{7NAeLB%mXG@NKxO*(#;13shoz0v};!^ae6u%M< zV-P^1Zi&S)(B0jB0w)PDr3g!9_`jE#jeA5oX?v2cc>9<Nf# z7I6i876K~_WJY<+=k09t35AF0o*r*{@ZuVC+2i|nJo_#I@a_s32Z?s^IHZS}ucj%d zV&0mHm^c_EZ2xY~PDPlgkB_VxKgJ{e^*|?Da)pATWbodHfz8>k-8W@Qb}x03*p!== zR;6qFl0l$kqA`0&A!nm`Pqd2g7)xq^B4H<*CPVq?xOK z>=_1Us|5Bs!YniHvhJnRIvh1khy3G?%;<$i-0eu$vM4{?LQi!0gKM;0S1lLEo$5|F zw>WA7#Y8$E*^W(X<)`1LqB%d^mF#&M@K0TT`dr-iy*J>x!u0u}Mv*-krj>(tYh*&z z^I)zM4idM;WK@l5#s>0wKhrf1aJl2H6a9O(ZvODzMP45l?BmfnpGVM}PvHA+H#HgHtrQ;GW&%!HdZOwGS(55FO%??=ne9;J|D2`tZTBj#^1m)X z$=4!kx7MJfORQNzP;0wsf$K2Fm$w{%Zu;|?%9*{$4~+ldG>M#|?=09E>f^ZW9Os~c z{z{-6ufF56qVW~GXldZ|HvEcN?fgeQ1l+qw-|$tISUe^#+#0#8hZpua-sBK39s;?C zVo5`0-idc1%(3%ha_At|_=rLg419ry*zf?EGfu!Da2GfZ-fn{p0a0O5XnYwcc@7+6 z^9AB|VhyJ)Zum*&I<_AIEEc{jsH~>80orfhn4QS&O7;|&b?0v&V?HO~W6Ue!r{o}8 zcOtC5@~SnXX_W@auHXA!16!26d8itRGM*@5SBkKCy2X69yod|3YagenowU z_#I_QDKIVIScU6z(1fDLbkMsHh4U{3FJ)f<<2VADFq&jvTS`T&{ZAlFT>yg6b8d1+^qkcm6(=tC0*8e>^P@lmu$ zKmf&5!-i`s>~qeqNm+eyFC5O3=tcUvWy2@jHXmEgWm!fhi<4ygppI*!s?T9oP;3ZY znQ_UDW|ywtCcj?lN165+a2#uX&p3QkNFQ`gG(>LoB5W-82gDH&-8c`oNe}?Mf_H~K!44Lv2sfJ9se2$G3mnEwP2Rzv-Kq37&J3c!h2uEqnk2F&Z zJbxG_XKU`afC@=CkrU38R@2^6Ps^{oVG3ZNVacHRSfNt$<%j}LNv%Gqa~p7cM6r`F zbJwbU3uTqPR0~WoIz{sWYBK22XRLnCEkHUj;IXSehF@H%zhezt9rjgQBvqbNXt(x= zh^o*m(}U$a!}RZeH>q{`5&u16fj3yY)TsygKjK}PYL%vU& z6elV+SUQBs;R;5o=B-|6lcPBIT&3wCBL`F(o1d7lju&9a(bVMq0+mB#&UR*!@v3o_ zN>DvSRUJ!A7`8q-I2_^_j+fLK_}8&fu8r`lAkq+a>Wgb=%T=Bb8fsJtCTTJ=i|4~4 z&8aLhp%j>AgL1b!yFKP(6MtO}X8c#1ITK_HD^52vf3lE<`60qjjGK?q(=;MPxya>= zR?hh>J>K$YKY$U^(`*@!iz@i?=O-Rw@_Ya06O6U!HPAl~+?ntQax;78M>{CyRNkSA zksiO&AQj1)k#Ew<`-Xq~f~Z7T6-&~z-(-&eD#QC}HNYJ*GR|rfR?k`+6Rz#8lMMnw zWUgS?@_a?vT6@&P__wLkwZpqKGT)-(rI4xf9hA-|F6@Lp-Kt()Mk=ZT5B%Io7wX6x z(XA^Rl3oTCv!jg{LvTFYWVXiGedz^i?C48n@ayU4Es#gvYPW89z*ss#aC78ZzC+KY@oCN0z;_+?QRR zH=!x1sa1n{9Ge_G(ko`&`O{R4=FBzYh2IV0RvlVfP(7k7-*(*7j|AR&mBFbPm8ozZ zF$Gq863UzwTBjD80X>3;Gj@{Y;3g?qkxy{scg=PaLHdD$S=CF{*lI#pAm_k0zk|><3T^*A*XSePTS#F zQ<&pt_m_{hfx9hQ40_G;u6ab^*3dF5xh}P#ppUzYteqtS1(AiR?IwF7&8G0duHV^x z%AUo~5cENg+RF^moa8Mb;%-X@Vu9dtJi0zdsrW6|K@b=Ae3fZZPr38rfi6_CYN6>b zMWJo?M0Wj}+g@2<^*row!8TAedwEXyUCO>F+i%?w5ywJPxQnlg!jPaeDC}}KYb#+U z?qGlM_khO|fvjo%hU1t1q$_T^-m8CTebc-iTS$e~{2Wqsz&sgsv2*p-Y060S3<)>s zQI(a27|E+-i$p!BA)*4f#v4yXygs7 zxI2d@Y@7KTv0liMP0}?MF&_3`#_ZkimL5^#$s7aZs{hn|2f}W7Z_U?i78P(yf0kQ zL74C5`5tDA|B-zwfFs(*5BjxK#r)~aUj9T7O@;s#FX!q9v>|xy^~q}&w`gz#lp}l- zx=AQZ`;n-q&>;>wJX5C+JFKWC_4~j#1sUc~Uh@O^8v`d~jukYFerLGdHpw^@3mEXhjZ`LO30Bqia&lcl6bsJxbFzR+UFD&0;$xVUdJue)!P^ zk^IF{R|0=GXmQ%8w^Ml0mxcd*|5N6#OJsZG)|W{-!1+}>vun=n_?Rw{>TDcd@m)YU zOyi)OFm0k_?R4UV_m=hB`GewFFMrYTuG9@n%R_5W{^^4zwtQwQP%XHz4M%`-}c@Fcs%s`|e6g@d=Pg z5?+E*14aWNhA{S#ZD4WN5si04A*77>ie)KjYHT0W-?Ezf_>??0QkEDHj(x_l?ud-O z+6e0fIhj6k`iY9QM+e(j0r1-3O`Z)hO+I7$wJ^Q_E=OWsXJ}AIqo|CnR|0A&ss)pZ z<_hDahM_O?7HWzje**Lan%%HC-Ueg?+N*AuC_K3ud0&?Uu1B^1n|@N7Eb&Iow~(!I zsM5*TU?TYvRx*E_$h-J$7|%R5201d=V=v2x-`)MMwaZFP`YjrRziIl61)RQ0ot&`P zA%e`l-_soZz481J5qQ9VBkTpBZIi{0N5r|Ph%CiJk?lJh##S1|t;ms#-`pgWW+uP| zwf3;L2aDks@ZEkU=a47-3FpQ)EQgV?5ju!a;F8kd$aTBQ2|MiGY{z5!Wc+lLD{|tI zFWTX)(@)AYHjf^tYV&ihZ5{)e7fzpm3mK2qK@i+p@&0oFE&!p=`6ebiP}&Cwk$wk} zj^Ok(W4L*labw)?o_FJO*%^Dc+BHKQzOU2ZiUB`M2P`F@CN|f)e35tLZnl>;o)|Lx z?)5`0w>+JL3X@%1)_0gFylO2G+Lj?00=*B`E79`JdzhnIb zZMNbOAAJUJtqrNFnZ-xnh6w-k9#2F)Vnh0WEdZU6K&>UT4QDu*_g3yF>9h_tu}|Q; z@hDV_O|^IlRPcV?C!~Pu`>dU=X8Dz@9QxWP1;7O_s$C{Jx}MK}LxD%*efVNBD>ou_ zvU=^uWW-dhv7MmuAW>df5qt&cgpA`;Y0WP=TlTtro@+Yk#z>sJ6*#Ky zlPPO$OY(6gZI*X4m(UDNE03vqWzA=9dH4 zz~{B}>4-0@Ol}O>(vx|beQom!vR~NG;sjibaZh}-jv(&#+2vG>Z`lzOe$%e``S*UKA;Z?b5=q%-Emo`K* zQ+9CQe9clTHLC;;(&rDPX!c4F-I>EbUbvjRg(&;@uXV|Oy7h|sU#GY1xcI<}E_khqEmTjkh0)h)HBtJvc zyodCC*o9Dho_7CfPF4ZUbi$ks0h%w24H$ut9C65&8Jc-vY>`Rteh!iP_2%Exn#BLj<%ykg_yw3*J&ZIL}gE3 zF>yr-zBO%mByuCMnLxPF?rsM#>cW0Anpy87+X9eaH~>yS1YitM#nf$B`ch#D*1$jO z2bPJyFP+rSd;|RHoW82?q>f9ugZIr){q#J!=Bt2m^%runUn)-PJ_qV)`asdUF4(s~ z375C7ZxR5dT}VZ$2rnKqd8q9k%I)YB|6_4E0KA`MW74&|fqBxR9>U=mUxJ{5%a->fBtZ+WPt* z+?#zVCgW1og13U&1Ztu?eKM{Cj zuX0S%N}kCg#Vxct;qQeVc7~7?fby0}>KWxQz`uDu!s6k2E5$Z>Q;%f^<8sR!w-H1d zSZn|HlF@%ph%w-CrOdP=`tSC3>kp1C)z0XdJJHpOMh@Qq;xJ187yuL}YHn^pHrAm* z)-%rRw(c=epc%b9325^@xZfE!$qEwW4EX*pj7BG@dU>W!elicede@p$#}l$i*|mX# zZWR>DdQqWKgxSab^AH`q{O23dYRK(pTT(Z-iJO^&s(~oU6Di}oBHO*!7x|s$_}t9Fm8?|s zp6u`G#P*D8_2#doL&iU?dZ?adX={?4hT@!t-Mz>9t0Ha~N%>&Rz<-Ej0oOi9g4aB2 zMds7?+~@cSb^kn&ZPf5VB-`gzKnyZe+T3*c{-`Unpym~2N-skkP@^_mA?G_8Ob$0U z8@Qo4BR4|3y6?M|SyAa?nJIo~(f zAi^8mATM|P_l&zoZA#JHJUzkm2n4Q`3i+E)B7`g0pbHEP>T~-pq}O=zjMs~F^#H}) zpG^ifMjg=uV$YiUO-|-Vil)JztagV1mha!#%^G^Z8#;m#B6!5o*(UFfE0&#`9twCl zNE(T5O`WN|Dvpe**Bm$P{+Tz}YS(}3Fh`8EEvr}qldM0F00FZ$1A*Vc-J!$eGlh`6 zRUKv`AMcIxw2xtxa&TrU_eZsdnX z%BA_<9TV?*)g03KOXfWpMgRnVKkOc4SATdFnbAnSm=?B~jL!CC}STP!KAKONLThyH6 zG_S23z`^a>*+1e75K2h@2Zb(NS2%!L9uqCeq#3x_s5j6d-z_`p+0Pyz(uYHl8~Glm z7L9CRiV>*&l2ZbMfDNu5(pdYsK+b;obh4Q3(L|n|F#FS2)*qdhL^Z5#$DFv@6;+#m z|D5LQRd3E!KcgZs#EW#E%3F^|71fO2$Vca#wz#{5Ma4Qy{OM~1186Pe|M}%CNubP` z&{)QYB!0&so2}F|tQxz9bazvhJa6qm3G$49?`Os9fTp98Aj0io96HQEh;Oc7v}7^t z@m8#R^@?DwVzh&DFD>r#n+W(xJ#u7G$(Eqv3XST^mHc~FA%80P=A_MAzMn+&eeS0h zVYOyu3tBlXKfTM;&pEJ+3$o*ne|@5X7ZH3ulW$bbB3HZeWcJ?it{cA2%!Sp(?3<2# z2h17$ka*fb7mze(M&D0|Et89PA?@o9pMQ9VR1U5m0XTtBfGD6yghfO%Ts3-_j_lJ5 zOM@Xd*rpBO!H&K9W_!Zu@i+l}FC60kccxyin7wKWi#})((?ELz9bC*v7g>s>>HAfL znM~|$_oACSM!@3b$_T>d7$vZ7!w|jp=;bu1@Rd8!FZ^L$<#D-!Iko^~SzX`O3!a_u z^ilebj`FLrDo#2&`i6+iIV^|A9tUj@rK@V}H=6A1Rip5p#4p5T&r8q;h6O>k@-$afRexu@xobLFMCd z>H2nZzN1F+|LNv(&Bcwp{Y!yIyabiEG;`ag6~B3#hzG0IH>J${Z@A)eou3gP^0Lfm zk*BCVktJ~-$EWr*;RR3P=*#*hrFhD5kEka00CG*@Nqftiwm#kmF_G=C&dX%)E%OK% zx3>3lC6mIFf^G-}C5aS9%1WWg21i1qabm;r5ueUJ<402^$fTx~=}ww#kG&hBN;!@#UHoC7PdylJ5O>4;Wyz>shc8cJcAtCr2gh3D zK`@GgaYVo)@0DTGRC6F@+>$j=*G{a+Z!$FMh_XhYQ~>!N+_d+^nX}UW)fnTDKD6op+zP zwCDwn($iyL!qGxk{2#GL?s{p;-&whGFYK?laVt$p_sa{|f;Z4l53Lnne2Ec)I{1?u z<_TmyGq+J#J)O*vYvlWbR0RjBT4EmGAid#tN*K(77c^+Hxx9r<8TnbVjAP5EWMeC6 zyT#O7lHyw{oHm1EeBHTmm|mUqt^J%ytj^8kDO)W;M~r^VG)JMS z%I}SGV2>En?R(^ekHd71pXw4J2!uy${pat)f)OO0+cjt;_PSR1f7rSQcsup6xxmG? zC|6}8JVCjyt1h&_eGyadp!LAQ7D(Ic8{8{KDQ;JmFJ!a*2~WbeHy=ugbH0r@BHH9q zUSOC7h~9quNoroaeZ_F0x9$1GJYyJRW8SVl&cN}Qf8baOX=K4I!F=CI#H-GmjNdP# z(f5R`q1umv-z{8pFkgz24YCebqEwh-X;z$r^l=I4O=yBzbS3QL?4`n-%t7rcaxcpu6UUSN_L_^xY;3O!#KbwZ34P@yppz!Iu?8Sq$t&Y^51q173h3iZ(M{ zO1;6=E9*CD2E*oSuBYwu**)9e!1{e|aiWUhKfY{|WC;6iWh6a((eDdNb%o#NXn!Oc zD75I_8JM2_nB@15XZ`U;SB+K4OXO)>mbh*q07jWA8uQWQ9^uIM{FdU`i%uX}5(9+C zj-9c2$Q9pO!6S$L-nOxhS&6E)c2tgauN&hegOu=l-w{;`O-~I|-nS9IPk>kw{N838 zEbDCPvCIrom$sVN8{PstacAskvEVa3?5%FVwhgthu|$VX|I=|3r~fqu%X)yX@&2%J zn!X&9ul@Dj$$gikpAGKUzH0Nmq)94#%AlX>(gQm=6_rZrN~)}K-Ex2Ho$dEsaFPwn ztku6hrZ0kn5IWWN97npfJfgrxOOEf=Q7Ix%9lS7pro;Y{=LIwg0W4GD>kDVp1T2&z zaD9mQrY)5-zM2={J&KKiN{X&OF^5N<7V>vKfJgL0YGPy!N^w?z_k0Vr%JduZY*Ip) zLt_7!!EijMw>ORQ!fKT5jti90pgQ+`O=1uhekw~G9b>9_9yjsS?kO2&)l6QViC3E;4;V%O zRE|q<3G*W1id!JZ<^RzS&L<8X+MtKg*T#rPI_)$QB4|98D^F&Z3KZ$TxudSN_g#r2 zDWX(@Hg1goKl5*oec5gSnz!td zvyv#_0{LQS@-P*Js#G~^^$kPg0@f%|5XlBG%o6PDl5ieo)4o2mq@=!oS~$4hYS=D6 zrBx^`e*9(E>UVV@&;Ob-Z{~Db>IM^ra|oE zAbD)j-1h*;Mt{1l+bD<$9i2rFbj<9oJzv}LaX(BKP#4)#jSeOogc9a?Q?5><{*<2{ zjrJpa{WBCK8#1wEEe-NXZc0tIWTL_O*?|?oM_8_0XG~|F)S{~kjZZQ=*ERX$uo90B z3gO@aXuhq&>aH;x`T=2qwuH&F7!OT|9trowb6&jtlz=Q+O(Z210tIpSZ8DMFUyTka zk8dqwO>92@N1$}a(h1hkPD3kWA>ar+rZ~y%h|Yb!-!QwqoZQ^3nB3`RX2_SNQCmI7 zH?(EO(ri@rS7ehr&6b~fyd|j`a54CEVUR~n=w?Bq=bYL!I6={h*`^m7a7hp3(9{I? zj7`FuG#zp?2jIw+K{f#TiS8#!&~B7;9wwx+L)~s=ZoOrV3rsENul+WjaU2^W#N%xG z*VB=au)HdL)VEeNI^Y7&DpH=rySqqnk$vmW zi#4C>YMFEk;erg;6vmP*>=M?sNpNx5ylJy`X`i`p{RGFwmhN6o->I=7U{UaM+9nwB zEJ9DJjGJNGOTTZ1 z;Gc-dmgnz`*g}C1%Bjsc5cEj9`X~SJ<}s?&Pkc@i{KacSqVdcU*w+wQhgT%)m_ks*|p6bQ!kO^%r1@Z&ws1{7d<7h$(?gZ5D{4A!?c1NXO6l_2cZNUNCD<|;$>}q{ zR%vKu$Ot}KQ>+fWHD(Yz+m>1WeK1QIkFNcniy%Nm>5r3!gRF=ubEjPVEd{&Uq)>%q zoL!rJ-#%Mw`7u@!jB!$dRkIr+IW(&q$}#6$;3yb1$07)F@5{E-gu-ljm)A^>N+Q|O z5P%ei1K<4%B{4a$E$v4=P0#`Bd3vZP`HmUdd5E~>_&A)7(F+pIBjP}i`k+aUuKlAV z=!aVNKA5nDKvkEYDl6J-GHOGXrvZJ>GP)_=%OBPJAQ&Yeuk#r+v~Lk67mJy>_OL`g}IPT2Nr{L zH{)U@UF5WQ(A?w1;^%)i%1q$29JZiJ3k1szQ@!d`_RM5?6eoY%>%^w0Q9>?dk2`KC@AcXPlrn^Ej(U) z>)9_PF~0(vZ*pP1?{FVlB#GhltDrG^aM94?RSkURNRY>aHOJPHRbsTM#jiYQ zg2AtX*0Jga3_Xmfety*{yoGK$%=q#~`S2^Nv;Yf>fUnI7$FtG2eclUKl-5d zw=wS7{R~4L#a|v%zE6AniNO}uZ&%$@V+S3SQYu3hM)1eYzYEwc>@Xa(nw$!MW0Nl- z<y2tX!?C%yZ>~)TYI|L*`4&k%Mqjrcn@-NjX?a$LVW~kl!m~6o(^g zYf9v69Ja5qrr7@DP$o}BYguGvRo+_fxXrhf0864lpUnS4Dw=MPRky6H{$3ApC?bIzZH5ClM#cik0lN^Lr^z$yKfd`|p;v8$^Hgl_k@OCQkkJW1mOk25VjtdNUbmvAVT zsv-yE!kc);aVGEYhSj9_kNUTpA820t!O3vw{@DkvjK`UDwJz_Z7c>1ScBAg6^ezb8 zw+IP*x!m=>)a$faASloQ)3fH~B8DF~a}DChfssmZL7s~=>itjJTF8ISBFLq-BmldrC*?R+XOa=%ARb5P zal@Zv31tde#8rE3IFA4x|I>NRI>%;Aqnm+A#SSPt;MvZ-hv0TSRP3U0^CEo`ez92* z&h1iZSmLKYS+Me6!06)ggU4Ndx+N=~cl}GUI!GeBSH{Li*M}44bekV1E|L&2p-V5d zqGv>xm%J9+unf{7!yn!YBT#v`yz{ z+&2c#W=@~vj2_Ped#{^b9gIIFy?+sPdODg^H))N*dp)Xv+hYF-n`(tUSX`fowk})4 z9dE*wjbAbTG8GFjSewri(2LU;xUb?+tW^xhMZ*yL6ZE~vLamy@y8-0(qj{G)`c(OK zc!0w2(Ah-UV_a+;{BQ&`U~*pq%_?#Ky|pgNyU6)Sd`}lM?2?E}vdALr$f88(dcs_P z-J;t?Q|(V@a?R5~^g6zE>ALC1?`LU_1qKAHmZ+buI zz}!qhCof&%9wpD8Xep6Z;2F$*@$uOO!dc9*d>}pLJbv^sV;e69Lyyem7Eh%Mq(90G|m{zU&y-U)i-II?{w%vY_RLefw`!NimR{bWW!`o1BeAAGd z7nuy0{TJrh6tQ?`V4k`4e>8n%RGVGXb%5X=T#CC}A-FrGcyYH$&q}n^7^x*o+2C{BH|1Q3 zbLij7Pvjy^CS{irXvLFM4%pm3H#hmDn4d&OYcH$YC4Xh_-nKz-I4!CBSgOw{^>4vK zisJCeJJNO>2UjRD}F%sVU$kA+EiAIA#gFZJVw!ixQS3VmOlf9~S_Z{r&DIBq|R2 zP{#0NSu~rw87KylsQ?GHBMTI{uD7)167`966wAWW3?(dw_6zfDH16OB1X4H_VSdB` z^vQrWrtMs%BhBu-Us|w!wFV!gu9=EaG4CrSsxQZ`jCo~zn{n8ef=<#a;(eVXjH#Uo z8Xl@z;KOorV#zqnPDm0>WXoTlI>G2eG-lZDFRYEjc~581YEvv9Y5w`0Vz*P1eK4GE zxC~|sqi4qI!?)AP0FsbdZ(lLSjRXYkDY1Ley2eec0EK-6*-!@ONJ-yYJ>@9Fg0{#A zzcsYp_uWGF61-hsVHxk7YD_DOOe<;p{mJLfHoD>Jf8M0QexRwBzeBaRiwrW?eCd`c ziBrSFrEz8DI^`zLOo>$#V0gAw&z@8Q$V6__fCe3b{;_{RgXVmu1ANmrPLNvW0F>JD zp;3u6iUZWR_ad!Br61b)80d%e=Z`%qTLZ@~m|ze182IzuT)2DnNMpl@*4_8@u!JFe z|C6`yfiRAzqr#GNv)ALlT%T{xtl*^nsGw(&!OjO=AQLk+Cqp+hta|Ps6%f_L{@!tD zDf}_sxtgbnSe&`AOtBC0Ks;u6>_sEmBR2VxkL=l!O@-6a7F|1+3}fn(`GxhD6+>_5 zwzbPvqY=*XgXdM>d!e#*hhTAt7>+1(c%ivudLuIGd&0!j+!c1%qz!YnZH3JW&gzQ& zbT)%!-rt3q(!2j&&6z*Xw=#>#@$UU>$`A4qFRpU%&D}FeL4=+Et%@FOKE-IrZ!&RJ zdkThe^{oJwP3&5oT0<;QY)BnaAHO*#tFisgeN4vsi;Re4|Hxw5db*AbU%Ya1xq7~2 z7ZUhrFG+R#7RMvXcC|JhYod0A_7>st3=3)WN>qrakFf=nYh9v{V8!%U>nqFT6K96o z{vzM>QKWF61$kj)l)rZpd=lfH`W_8(&j)!H2^@U9JqlDW{PuG^Dlq>B&c^@yp=CBs zy;7wD+1j)yckIP;P{1qVV;qV8P?Iz_;HwyVTNCB-whD|1Pbn3Rhzi83Kpq3q3zPFN zl@ppsFtlq8`5=Py&mMEDcJH%xBd~I*K71~!@$MTV)V)>0ord-FCxenbR{!Di6F$i< z-OqNP1^gcBdNEUKtsHvr&3A5da~RL$a|?Hg=JBbs-gp{^DDDj!9#wN zyJAxISd+-A`(GUe&Vmr&JjH$I7d-wC>)o@@4Y|t&2HYk3+$Gr^342GkuE%R# za&Au_VSf8_q;JGgoc3_iw~<5&>4&Hi%5_GxUT5QskQUg$P1C~as&OqtSv+EMfAmD; zs*wq$Mv!ihx_!bPYW0?oyLA8_c%TeCJh6WexRDH43dr*H5C+=5h&{x%a>+!Z+H^gS>H-u-vzru~-AOx?5|wXG z)uNrajjt)hr9>yT3&3wyestDh5XxysQuNW`tCiMc+jz^ z4KPLEI%4lUXJUMG!lWDu53MXuc+S$aR)~h?3D4u#fP|RP?fBQ`=u90QsgE-^guZ#& zhk;^jZ}E$7_~cX|$@if6n;i;rO9?<_siI`W+fcJlu>Yg-42k@Qstw z#t}2&TePvmv{fe#A;rJjst=gIOhc+a003iSbJ@9F@Lda`-y-mn%2HHplgY=;?I9#O zHL;M2h)gY%%&~GiZmX|a&>2L-*jOJw5K<3Xdje&;>8e$`gadP%1j=~FK`Z*((Orfs zmeufw-`pSm>s~ok-$jZHbvx<|(4i;(W?P%5qIPNEZox*{6WWm5i;`sckiBG(jfrVb z&XkGQ&xcYMPlJI5=l2m|`&jgZy%iGq^W9t^x_BIKuz=hI*&JmSsp3M>P)U}C5c>W~ zdW+(M0|W3W-xzR!(%E)5DB1OA=VQ{_?O_Vy7=yc%HB%~~yL!!$6r?2%bPRWQ1}-dI zm$S~%MUdU)MSni=>Zqq-!=HWWWA@gSkbVxJ5$k~-m) zM*^1}cKg4XLofu;Iip$reLf1e_n#J@&Q^8RAn(W~uxrvJpHgwRc>z5Y9av7S!gO@z zd`sK4;re#Fc~G6t-F<$rnLhG33>V7&;qVz@xh9P{Bwv)e!+qKIQ^yr%W1-o-<|(FN zsO_%Ph5slVXoL;ZRTmZ}Qx-dtf`#7MwXri_8Ys};8HWoXpI1qK1Ob-&U+ zg*kb6Ihd0w5L3z`8aD#xHF8J*YPyxtLbc@DbM=%oJlYSKMoz;zik0$0NHo5u*5=jlOC&4|V zy`GeT*H_0wtW_T}klo0>+aCG6Ye$pgpLE^c2FH%B8h*&${elM<1^4+kcVEFNoJdMp zI$(}O2)cXbl_H>#6F)=Crxdafsv}n(NXCTzM#Dg!{CWF;mW{@g?^DqYSf*13Z^t5( z4|z-m8j{AOJTs6cNQSKq1rtQvS7f(c5TBa)y}6!cvaB*9{yX41A9tm1&>A_=c1DAz zZZT9ax7hMX+S|m)!Y^62BOKuIC}DTXluUHNpJHMD4`_0mU;U<(PD+#nOr&0uFsDU` z;G?GLKNELSlwSe@5R@aT;PAL0CVT|xSOBU<2LbVd=)fezWh#VjYqWqRb+`d+N5AQU zTFZpZFSrF8PQ?}O;ao6r9YpS$y8W|He^Xv8rdl(x!2~HvL;LQ~=x2sKd(W{-kMGvD zg1Ioi0U&t+4tFS8p=U`Vh}{yIFVtvZt*^N_PQo#TV-p=8OZ#-%wpUi2Aysl4s*p50 zvuiPWTt@xVS}Af%vw~ueko3#?Mw>=aVk-!?s9=O?9n^r3@ zo_`)A+4_g(p{_QDV1pGGRPz})0%tSF;-q^N)yZoNHgg_c^ZoN914#4n^M5G*2pnMm z(eKjnw_|>{Mp@5HNO$N%nbtC#c3*&SOU9|V;>U7_tL@W(w$R!iFw&h*d1Ipnd&fV1 zR^&2a93Ejw%biX`X@F}882^8u@bi4Gb&BO1-aEAQqT51Cq{59q`UoF;eV5+(8c6DW z);n&SGO>^%izoaAUOy8N?dgtVYCj|jMOO$@vYRDc6Azs!8{`q-4cBLjl;VL(g_k6e zLhFpIt(yJlrM-MygB9+-bp#-xKr9XW4~#s6EzadTbIu}7gEU2a6Dc=`?&(;x$(4IJUE$PO*+YG4?Y$FaezLbx}N61Nuz4TjiPn1*bq>$#m|9TzMS zTz`e4IK~4Q=*_|!ZGA%|v3uzw9*tdwN1<+E{i+VTAJ%NYTQci8p)MRsXj$*O7Mkki z^Kbdfe~fMIA}$5rMbp6_h8cXzpLf^q8t_yYjP=7tdd3rR=a=vctn%B?82jU%yvEv+5P8~odJ=7+;ABW96J2JSHgo|v_2-)Bp0DLO;KS5p1Q-arRRzI zm6zQ6blP8tyu9-Y$M)qMcc#@HRkrK(@%-+2#l2lbSd$TS;%c;JY$1?96Q@7!if!ep z>lJ!L7{fqaF$C;(`s9gdqu;I0upHrb>P{BE8GLnpl&E8IOXd}0?k!lD1ZC_-s0I@c zoXGXNs)%~0M(2;ExT}>)V@MSDm`Y1{=-1U|#K8I{ELuDu{ zQaw-VU(*8K>wMWJ1x1*PBNo*=|N833sPBsSL;b%;T;&ok>YRRM-g|oofBC2$Y;AB- zWLhj0Y~@|6^rd61)_?x+aKGs79B?up>2$UD8KL}L=XvjqBENXG;Ta{;u`EAjKI7{- zcoqG#!I`*^Da{n}-lyf}{7xju>aSg|9)OA3s!qlup)&zxlkXv3Qyjlto}l|F<@L2< zQuPVuBfOJy{i!YPjke)&0Czp-ub8|xl~6ZJ5}tr~XK)+xq)H~RvIK%=|EKORM%v<0 z|6aDP;hKSwm)=^9$XnpBpJeuzj8=~M92;|Am21LCrjG~yGHN~cnJXhpv^4rrzWwB`QD4JrY!%aGAZ zQ}90gToG0nYgP)s^*Q?aE+2?HAbXG{FAh&FLg%R*>uRB|Q`C$W>J)gcrqZ<4KKUo^ zqCUNoZQB=ggcJ%af^eEn5Z2i}+D+G;!T81t@4icW#L}@#HAV3r7hK>Vy(0qTT-@k^ zdRr4f;_oFMCmUrNDdbNUYsvtw&OJ_21P_f~Sbo|7>bGu!Wjx~k)N_Jl;^q(wDr%6+ zp722mxro^nduW5nr45EQ-5(I<={A2N2_OTk1Q5O=EPh=FWOp+>uVf*#<9Fxcsq^4> zUxjxcRV1s02jOCiXsYVT_Q&lZn>W|$rQ=}F`bNjYHB9FPd68-D z<)}QvNV_kS`b$`(fEHdS&@C`bWd9bV9D8KN%;E+015MuA#;u@+PQJRDsQ})-FkUDNPq526fReJM?`%X7pFcGV1hfAZ1Vu0lAZ~imJn6Ipdtc z-Pa{NqH#oKG$A5iwP~g?+fZ;H+08ST5nqr=Fd7{WLoDqeb#aLwBpJCbE-vIL04PVN zFZqBLcGijcxYftwfi1P*BH#5M1xWx>f_7>yMCy`Cm+j~zh%tt#siPTvxkSXm!5z-_ zfe6%X{k@*%!zgWv$~Fpy+@_V8K*46zj((^-o-$ggGqA2-qga*A%byGvoXCicfw5>e zy)ri0knBNu9G$0>61G55JxiQAFE#~Qya3Iom{=f&KrVZ?(3r0x`lB^^#K5HL1!xBv zpRPiwbEl zDfJWo)P?>hh#-Cq=}_!;?w{(+Eo1paQBa$Fr{zTQnwQn3+H zK0iY|J$vS65WI~jj89I^b0^UBInWjz&sQALhYI?wMlsA&Ey~ek4sW)v>J)d&8Hb-K^mauA`agI5wYq3$Vi{-6I8rNPLCXfWEp!enB_<`nNEP;G~1CkIo7kuP@wr z@bTc~og`U9EzqMd6ZS%8Kl@Nd&-|X}o^xZBKwWcI8;;MqfYAeM2eIu*`?-9vr=% zW6#>azgjoOx|$HjR8C`BDsu5H3v^{02?CjDMh@14rUqbZlW2DM1u%_!z2C}z8{Iz= zg9gCloP1Dk9j7yq`YY93w_cz8l#-6YQtQjgm{0d0D`)S(!YgPwR)o^`^+R8xw%ZE! zA^3*M@f+8?$@8m*u6N(?Ov8U~wa0Ltj z+I3RSV%d=CwSj|JJk9e9(O0?UL@{o#p5jC*BS^U6lk_=5yaXsln;Sh72>M7|e^o{= z8Z6?bYFp~Cg7Hh@4nC$xmMko}Ga;e|`e5k)Q#;0G|p z^$CPdVRoYcDU~o0)cCMYh*LAB`f+;?_IP+`!)Q`n$$NWoKN3F%S${Mj>KvK`CO5B} zTmH(3kq@85)?)MznnApI{wo2@HVXTFA4iZRpsb*@H;qvEN-}*9hZFhN>L+q3{-_uW z6r)9V6W3q8(e;3n0jVAkR2xtqAVm)2*t`V>j>!BeRx=?y1@e>8r!avuHJ*e#p0xCW z^cm=l<4nS~E>yYPYd=L(pQF-+<51n4FC(0*8RHqgM}m0@^FBHoq4woR6Z%4JQ5w=_ zMFgF{A7C;ydwk9zeSZk#C6BLCW7ra?cjmT<%gJ93weq9vne+0RybeB5UOK2fC~zVAt+IOW*6L0}R(X0XCeH0NV9yTSyV zKZ--ZVi52m@8R{q^pY#0+fR^z!BUT=D$($Qo>W>{gjPWW3@!>C0_eA7#fo%4e{3Hf z;S3dHM}?5#WFoZKg&I$S zBE!O9?QO=DRzvo`Xym+{@Z@lQ{)7eibi@$M+t|Qd?gGZwQBZnci9!ETl!+_?Qq%@P zy0Q@*lq4qjTxk($E4}*p!v~5OHnXs&ic9z6(J6V&cgSqVwpK?cABtPPV=Jydk(PN= zN3NVw-phyT{|f`xKcZoY`x(Ew2wB3%XE*(R&A6U}t>?;$8=FO*#3{MzPYtCh8=7Wvp0tetd%~&Ed^~YZTAvlX@nOc zmsnl9v?v@6d!P;I68H>3?wYocuZaSSQv6sp)DgR-{1<$Ogd*sKNUawB=;v?Y_w4B- zBC2_Fx1+&rLjHWuME?zOk$h%jD)F6?55{qT*i8QPZv}ljtVqZ~+;=eOBVCM8qWt%G zb@j*RnSATjQ^+lMNO7r7c#{a<#fe+Q$ve{Pto#XJ8U}Kkph1Q3^@QI$VLOziC93!yckwZ#4O zGhn7IF=p~1hIVI$&;)r?v+z&x)4D)3OzUym=4RFm*o#aJZqgPT7tTro1eS7~V2T@X zLuOha9mAPNXxm6K^%#--A1?bk?<4H{$fA47t5U-EA&U8;GFC7F8r;$Pc;Oa zKm?h~c=*?=hZkS2s6R18B&Af7Ilw4PBoIW61NZi%=(^gs4c2njZ{H5p$u%`aiOUfE z)}kp(O~?tsh5XH_Wvs72r8e*Jjrh#i_oSYwf3?_Kf^I>mZY`8GLo(tFYtFbjF*8Mwojx2Hd}=`s{e6M?{l%?cSn@jx6@l zktH#*K=HzHq*LOd@Y=T!#zJsbO5oYaGpu2%%6#LVtYYbUU>Vs198wYi^|Ez4VA`~! z*T%BTj+Wt%W9&H*DY}h27sq0@wam+N^LnMxoxP_VM2BA7w_f3C-^c zcU6;uy^E9tlWQ-Y)uB2KPMNM8U?o2BHB8E0!fMZzgFl;SFW>UHdVg6%qocOyAO#O7 zbfM?tt8!U}c6oG2687_5$nm#Rvlx<7j#;C7=HXu;40jL@KNn2ficmQeK zg*LhdEygnXLbk>Z9ifaMC{gyc7^M;BL%w!`bod*)cit{?47ZgwiUM@r7i|tiP_yvG zAGOOUZT*q$890(Eo5_fYY0lu9I@Oop1^VTWMi(_)&7CuQV$+TnXF%85o)=jC{9Jq` z34@2_9K=jN>Qw#ko^KsAT8~8wYZ4WNT6c11pzr_ zdgVEAyu0xf^3c#Lhk2>AT~|jw$Z=%QxESJJej_Sw^kTB*Y6D~j(SP;|iu{HvDf@W9 zoaXnYW+kpc(dgo@%S&vAP<201OQlS)N_=Np*+t8Qi`D+9$hbiVkj+!iLo){Xe_Vhk zB3eB2P@wd5a@J7lii(X=_}1N%d#j<**2hm)h}rH3n=OX;ke_&vpPMZ!ip)?}w$RFN zC>e0Ancw-El^6vnL5yF}5VY+-_qBuN|> z>fDCOm6O_&wYbUaW6givNGx}!-f1M-_s?o-Hhgu~Kc-{g%St`jwLFHdV6B80%}%%? z9!DZ@Cr;-4lzM)zkk}FjTM1%4Wnh4jSbgkOX=`?EAVMSrp_F}+QufCkjUor*SRj4x>T_aj%1=T zo_gz=MUNVT>;PV9?Yp~tbGzQwH^uw~b0e_96P&o9kn;{(f6?;+lJU;)#{~H}=uh{) z5)nFH`WRcfDev9)TW#F&z41@19^o<8tvIr>uT*%a(M-`+msd+aVTa~ZM}I>-rt{8g zJE|>y*rSKibYeVkFSTNpr7$L{aAD~oKI*&m%o3?v-x*gf8x@SDnlzhcifuk`Ra1d< zYkNOn-NAa~a+0Ud5rU{K2@d*LEki9)i&x?V;>4{TGB-&@{wNVX2_uUJ<#F$-V2^(4 zLdf_=sVMn`JsI?}U{Ns9$2T2M;4dh%#arC$<_y#3SmQWyIbZR~J`Rz=1!< z@3tj`UAekvk0vu~=9ZJel#h7TZFFR!x3QFheDWy-&B(<&s^yPyJU47tFe!#inG7N9 zAMGEf)Blv%@AH8J%76Em3X}n4euk>3Y>NK zJik(7*wx4^<^9%B`dYWK4yESFvn}N`X3F&7FdR-@SEoN-G(W=d%Bn}gLl%8o9%dzi z1?|X45XbNUym-+}qnh)u1h^tVP=g<~vy*@t^Yw~<+Q;#`}a7t_CsB+v@H zr=!TRc8I0&Ma72#%tcY}=rB~jAVYs(Xy^fckU{lF2I-X>mi%ZuLY2!>ln9hpFH}1Z zo%w=Xe9{xg#yb~IrJ2+aN|5=aYWZcST`u((`^1M84u;(qMQF!t*N**gcxUvK*Um!~ zYUme)K4R+dv*?IIie++m_9;Rw6B+JTn^eM{LNN%5^=P|_C^38mt@)6_iD7DV7M5gG z<no;fF+p=$a>-ad}Y11Wmpgi#h5cPI3mjD(~C=;|$W+`M^R|HVpO{qCnM z0j_MD;O<^sFfLZO(GikGNZiDrsgZro*;NF=Y;QI(EiKW~z`y|}vnIUm(9&plKOIzt|fS2+a(aYqB@(pL**{OqV4h?x@`&e6lsOKrpIxz*3KtTb+h2z zJ0>8^3z(<=2YWE5ecS-Ad$^*axUwRw{ToVZC}Q+)hv?Alta##X2Be{gh)Ai{u~Zs2 zywnL9Au?K8PLD@`OpIfW9O4OMmefl>!J*$@R`B~g^RC;+Es-F~jwCU}gPBqmcv+f8 zuOfdSj!;{OWv z6|GJzhdY9Uwfo17|8*KoA@jdTDL0moTaQjgQhCfJW~Jp|#7GjnkP^_cvt zK^yVU1rt;QU*Ru%dw3N(jS_k92dya6Xr>8H6}Oj?Ai?-EYZ13T(3haaYd_L>1)U$i z?{?GPYxKI7dx`X5*TMbbror5oVu6~yDrjA@MUDb3oZ zMf)a4$23kXm)ZM?si>iWfZtOjy`SP<5f8{qOsBZvDI(S(It-DJ zTUE~o20-Kp8CCB4y#XK)1B#hjIU&M)@xr^&`?*1ks^qZo#6q3)zI(yJ%;z4Py8Je`yT{QKds(y^cqH10-fq#y_!ifBv-p zu@O%|{YuPFY#N4%fzi9+ScrKjF`han!CbL8l{@(d_gPsmXyO11vy2c~svEe7i!>Po zFp=hs=jDKI<(bow2IuiW!T}1V6TiBLe*j!@{G;9Yv;k>Yc`O`)KzQV8LQY)$lhYz4 zUVBPJ0@A~UBZfgT=S> z>z>`zFahRhD=^PY?84+PkZ+~b(STYzPrAmCsD=2>QYVxI8toZAk~>*VuVvFpK;`;E z_8a`IXpzlLBQL2aRN zq!S(k6pOl_n^ZT=$x$m#|DE4IqIw`W9lwZK2-$|MRjlm}O3Q08mIMC0Q{d8;p-Z9V zZUKrRYOv3<{K*X6k()mHtf>!1awv$Jo5k%INx0n30XN>hE!uWavf+bJM)_XtOA|i{ zNi$#$UG+8nj{bU@c~IJ%)PCb)?U57y8zWD+FEy;eZfA8X?Qr#))$lerq_b06{}HQ} zf)gUVb}kcMy#8KU7k!^2CoJ`dahh9@}B2PCkhik}whRad9O3M;P$4#1mnecQ8(u_nmc` zG3!t~GCyReL#V_}ozcTd1m?F#@8ONL$;|zPCK!ig=hR*DHg4-jP1NH&YwJ{gSX&Fp zGr}b#`{j^!-U3RoRPT_G@Ek;X%UEFUc8G&MY^Uc#o zAx|j>br|Ruaqx&0^{XsIW9>xI%7D)y zfK>_VbUJ*AjTYRi`iA2DZ1c9SUDT5PXX54i;~~whr0jZ?-J==o#lIa!B$(2aTutDC zrQwc8q#~2N7gk*R0Ks^WL*J8QHZ zBKG2JOoUIkkbUt?SY0BHB`H(6&GDT^Zg{>fjQPo*aI*4)H z_Dv%726E{D)WzhL#@Li({0CdQ^+@-U$2g7~n*phi0M!UWH&V13v@7Cy_hAu@p^JzY zF?+F;R2oo<;}xQrQWcMiVCK`9GxdhJ3!K2A$>{-zX-9#iZh}9X3lS$}#BeuU_LV}~ z1vl@^mYU3aoS=Ig=l8Ejem98K#a6Om^eH;JFj{Ww10ja+5zG9^bmU43HS1dz@)-Vm zwC!w-4`lCs(o4n=!6?}YXxqyy2u`)4cmRmyIR^G;HMe17k@?++3*{CxawmL;CMpP* z_W94AE6yn-H})K;HdXt<@bsyLcH*$B8iFK&D)JM+$E)VAcZ0uvQUZE4V$8ro5Y^#Z z|DsIy;fd64YJeY#+TGDv^OjB$w!vR97D9~qKYvQTd|}wNN-Gpd1hzX);NESz=WJbx zYuyIpb(SZwZ62YGR788hD#Vt_Fef;qExpLw@HjEaJYD(u+g)4D{ z%6yed6hy_yK-Bt42>Q-27$l~S>lh}8MUJwyhoEfA6>Ix0>PID7o)S6Y{?aW zUu<5JpGCq6jUiM^amw?iWMW70^uucO+WA*4YyWT#-x=YcdKaMHU+iJas<&2;krjB% zN9u=tcX`EKXMOMJ(RGjGr`|+Ucm)+YTsowO7YfP<5OO)UKH)?Fd069VlJTiR!3u{A z1Q*ZVxBt5DdQhi3{%JJ=RJfw*t8r{3AIaQe<9bH+)Cl{oDls!mr~aVRlCp#9nylzJWrAX|+5UJs`D9o0OE{!v|q%3>bk!^e%qbf)p@O@7|}jjUGF`foB4} z7@(cqL~o-@Fojv$vzOA?D9z;8(R9}L8k83NIT~HTk`hZ@)YsS7$*}{i53{PSN4*i{ z-^-y)%&6OFkN7V&FPqZ4s1=%jjSSCsTGnM`6;b=$gsu6=FfcGQG&G=JRkI@V-2RfM zhN97tNwbilb=x)+cXm=023(^5cuSs6LTtHJX)vt!od&KZaUllI#pZs#l&4%I369@2 zZQQ}qM-|UdkrzynPG*TD6#{C;%k+VMtIPTX0EdtX3ML^&et?UiC5BoGE*A6T?_v4W zZu*zX#WAE-1eBlXqbd1(+9#}cu0$-r3(;1hLPaOTxvquUhJ2U{Ca-u8k1IWKHY{wP zad1M4kd+Yb=u@+$wl5R`{qP{enrJXq>`#+)3I*((4m}Cp6_PHkVIpqn10EFNWQOQ@ z?Lg~Xh29H$N&!PF&p-J7zp@MZ{J|^f7i}j8)!Gg&` zNZ@NBuZd|wq^MvN(!^S4E2+>FB^9sg0WGN?0Jl&2%%r~R8bEs7Bz1a!C8sBR6X_=| zK||h61mm!CBR_L~4`~!`LQrvEF!;vO6^ZgpvDrBMj|9b~yY8?qWE0%I53#!4;=b^0 zprT5_7^}Gx(KEg9w7J&0TOSEthdm_6Dc*4gC^a6;OaDTDHukLIl&f=;Zgu%ms z@`i4CwP?IkwaKIS*5j0{^Q8+ta43DOaH6cbIu0QQ@_)}jSC?qdN_!#sO11kKx?lkv z5=N^TLMR-LFM#5{CXea%xT>nyUzO3C8HLQw8VrwF z)uq;YghUPS0XmUNblV=rfC#|)4nfdT5vRinzNf+>XW zg@2}ebd@WJZ3TD#Sf63Q334&$y z#-2S7Sp%);(YXC0kD#}gY$||6B)E2WK~*>d`=WFtjC1d!gJU>+QGA9DMvgvK;=vXM zkS1-c=cn;zcpXD;bn38;(jgjs{OI}pVi$4+VF-jBzj_j`kBT!)HruE@MyH>gV+)ycl^rqY3c!TH9vRO3zP|zNEnzD3C`x zPbnn+JfDOL2en;+-q9=|+~-&s}OgB&~aTfd8(rTC1wGTGCskSnJ0 zytEN}1}*YApItQgMe^dj0Yl-FnoubKU1Hzgfw+sNIBtbC*wQdgqR2L&^;etg-#Tc1if>ZS700l!GxRUYMLTlmPNz_9GD=nqpTS!8{T)NKA&PrHy z<~@kUp1*bV;q^36Ol4lsQn(6Rgcg^gvzOo(OI|rTd^S}T4Q7_LO&Dg#KeosAy{wi1ny@CL|=V=w93nVsV30!1_*@OzK;50P386 zN_7AMVFSx0;Cn11JtIcu{BCP>BDZu15_8EZ6)P6?d0&akK+gNu_#JA=H~i|#cmqBi z&X7DbkaGA&t~rPpjNX8n6Pr*$x{S>t&?%>8rKS}Rh4Vm~s1v2%sEITG*FZS@e7xn= zPx4TqLq1;q3y;J!fKx6Hjn9DCXB{_@AZ%x{cd8I^=sGM6pVHX8mqZ9a0`n_=!m`~3IaVuX)gbE8;C+HNBikh+L^r8SdD@9w)Jo2 zzI{tk`WQN4EBpKscxU};3fpMFlt@CNJI8bF{yWeBzgN3bXD{S>T?5Sp+QJRo7=2*J zQX)z7Z>xi{vgzM0p)>mm0Lsg&@6j~*_KuGIQPe@vvQaq2O-)44&(A#M36P)0J*}!Z zm+rrZ^;l`rqKhYVxBgUQZs(32$bL=U*L!UBC zo5fzNQBIq|reUZRM#j%AQ}7LI6KV0~1tp-Noy4;B;xQQTdYf@qBP*D){vRHEa1^A# zc_R}3Ug91olFvn$?Fyy@0J6p+{-%PSroN8Re$Pv)bVUBb$C|#R!lHwr^aT{%Uy^(m zap3DCE&;B>@euMZE^8t&qj~{xMPUX&qc*6a-|B&1N#>dOdhGw|IvQrm?1=#H)m0CU!yE z3|dHAa-CGaI)=v>PAJfP*V*D_Vu0rGwVtTM0$rHb19zPA)~|)r!-CSKke!tT)Qh!> z_It@!pSn3&I3@?`YJvk7Q+_i_Y_Tr++ya~q7g#))kcB&g&Y%IJ>D^uE4p>0o z?N;igTl;fT@FuJqAR;Pip)&2HB=uFR_{$d{zujcNQ_EW9ic431xGrnAy;BK~B(*1r zF|>pdo2x*Qnt#_#zaKO&B!mP=q!P!VMzlY6WX>IyQX-UPkfnPS#)GBX3+B2W2xV=O zc$mRZmXPPOTw ztfupw4p(*;c@|d}+!XPh1mw<6OuNDwgj{b$&=GD`RuD!9+E_U(yA=;zMy$^Z`g%iz+E!4S*T@h!BG& z2BRyq^?@ZcBla)0n2g2XG(|ML?!<|5(9T%5#Vi$HY8#B@EJXbD9`ZQeMz?sIOI z-VlfG6y`~Jt9t7{ZC~|Rc=mqumMPIH*)H)d*B8LlRXvb3Nk-Mx0G7^Mr*Xc+2j+gS zsZoRn10Eu8;0}TkM{zzOQJ=%Zo->4 zhdkt(Egr0y9A=3b6?)QDzeDK}#?$FcLze~3Lx;!caoy7CQRh-n8Nbkm#4B;g+*i8U zt2XL8gMk|tI{-kTF^<1F&g9+m-MoFjFu*o3EN#aenMSK3#Y8J~HWougqYOQzl>O#p z1+~Kzw`~CNr(CFG1Y&9k!fHxJ#Mh3F&8L@S78Eh+AC7N$a?WS$3M~%o3X7}CP>G|E z@M4NaCk9egxr%?J30PE4HXBwcoKza<|MXxbbQ3mCNEn9q?aSQUF9v?PPa}cVCcO-2 z78j%8HxEzjk?ftE5qN2~ldo6;(xiti43nJyt)lge|Kih>|(qW5i1k?S6YySovz7uTpJi1tC9)h%gMHP&q(8|GL|6m%)IHqU0 zw*ddftiYj^GqK-fTzUs?`Wn^9)g5TrW#i?$Z8==O{DsgNc zL)ba8k57Bh9ZjT6)j<0_$4slok(Q30-Yhx)fKqyq*UCQ)cIdX4d5~}|L?pQaiyM`a zSw>o#vHI6viGMl9K7k*QxVompZAf6);$;`AMPD(&E69y`R=6$i5$ZTd-1j*Lbr)9S ze}Aej1zr=D)z#tq!%6JLvQg8svxxcX@H!uM1nKm?wR8sK&>qRe;B^*ff5a6V&1nFc z@ddfm4;w@gI}&r3At^J_bzv~{jpE6npx+ijg(jaBf~WpF`avyyEp2V2#GUg5c0F@F zU373k*o?yvbR;(EW*!MZl=+2BBp=79*|DeDX$Ah9pv$-@x)h~aw>=dOgL+_7Q&V|m zCH&qZ<>*4xn8LKkOcy`y8Wbl`}S??)8$xQ(6itC@82nF zYCIQ?GE6AeASo{7dTW@SW&tpZGe7L}C1rWPppTOYZ~hrrJ=`~IHI!(q2Jt|!IIb`u zM2dBMUmBj1hrwA%*|kfKi*;70H?XC!!9j(?>xbm9e2%EXRX|jPtV;z>hm-iZU%VuM!oCB z_JDqq15tJ7gTt?jcdn_*8t#DfWEpf;jG}(zzZkoV!Vs~vA*Cj^N@EjX%}6*^3Yr}j z${hn7N(5!jF1kbRnpD$^3YHm+Jn1yPYM7_2B)pDYu_UY1y+%?%hB|Ibw9ERE3jJ~P zqL2bnkUUV3C}lzLrGI?aWG;3_yI0cNUVTg{-S{vq`AIK7_)Ud!8a10AOy=8v{1`G} z8|SO;>np5RWf<|F#r1?D7hlsdGoxD8`RE+XTJ!Zd3d+_jlz#on$Z#I_VTK_?MN?Nd z;=iEj`Qh4Q;xo-KQ}h)&Jh4&gjD5udpqk#jZ@eXUJ(Q#PyzIAibGLZ|-)`tLT`FWX zy&pbB4H$A|VPTN2Q~MsVGs?b&NyZ zXI(apyT}BeN%T86DLcWu(UEDy*;UX9^hL@ZML7a96^-{!sYkVSEKutIaRJDcrK>S) zB7BF(G`A(4e*yj%XPiZ^E}4$cplH=yoR|prP`|-MaDJ{?_-_1bUy!` zgSbaJ6^2+-cA#j%Tdc*bVvKZpU#Aue{+S}5-|Qc3CMk9A1!iip$q1HOkMhD7>PY1e z(!);X{czhcv#*^j*5SxFW{~=E&k$}b`1mnt@zJA4rVBmERqHjY#bEt}=xS(L6(RBL z3C6mL5(7%CjIS=&^{a*)fBO8&Nt(oh2D`5PpCe>7Ej@k;*3|yA{-cu=Zj|VLYG{UzU{>j zSzmj3(6IJm{@HJ4H0#ic-n9!?B&DA4Q_h~!RO>~qtXS%KAI?`TzJ7XLDs=|IcYTs) zVv#gANOesEWvaLy+Eahj(vNt2{=Be=kHp)1_ga=+X1RTisnEsfEN@AEwIU%S`?LMO z_r_Us6KBXHlqF^bWuNp~pad}|Yvym5ny&%CG6 zd00Q_>3Ve#b-rTj?3NL%#civNtbb^T)Rhx4()SIg9zCfy$Y5i@+{uTJ?<97UC~1~| z_+YZXKIyicooFIUe*gacB$VleA)xHj&Q2B?zuZuZR=GlSF2v-b(aFgo=HNrSDly^l z?*T+PpRYFVK(3?S+K4+7+dW__sd>eLZ)m8CE0E)7P>0L>6b(O-h4G_uJIkj}pM14% zm(*w?8G%a3ruF%GtS>`D2|QBzdV19H=|gj7*CcP@mQ4A7Oz=Py!fj>R877A^KZNlG z^9e@pOC)g`ByoJt#c;lT`}Rb`HPSHDlQDjX%>AN#m=H0V+9Rk+TsI7U?d~!S8appJ zKh~Bb;Odg}!zqjWG5MMDr?|OvBKC-v(ZOo0dSgObT2xJq=!DPNZ^jcxo5tkl=l?NL?TBsb&CbRq&50kRwSV;6ZT9_{)OgeEbwhrt`7m?S_OFLa zAE@l!ER(zZ91VDzz&$Nvy%{ts3^Bm?^yIK=cjy5tc5)`afWRNCuYW3pSlD-r^Ci+j zMPqwh8jbQ*TlGtsVVxmL1nulnYx{>r-%?N`SwU=)WMiKW1|PpjSLJS}90;r9n$OjY zek!)f)*_w}lrNf*{(T_e)f4*r03W>%TIgne?@vWpu_OJIqutdK&qD`zh6r5_0a6GK zN5{wZGp*PsTTwo(5GYL6+Z-JoOHA4>o$OUM;9-9a*?Mm6n{-`)IBqohOgTJYD|m1| zcRso?;+e3kPFn7}ci4b16qkrJ3b+I)iZGlTH~hNa2ALLPIcP}?j2&zd0C2o)%4u}l zN&nN#&rXudnZxm6QYmC;B*oc8nzA<;!#ZXW^VvGt>B}lC#FH>|QribVE--AMojPb2 zQony+#CWk|+72mLfyf;xeTV~bhj`~zXy_%+)dy3}rcvVZ=s)cJ|30Qnc(8i5CPdT7 z$jB_=pBC7^$GQ`mY9M192XiGiU^Qd}(VU3hlRUI8hV8$WWw>PPe)&@$DFTiMDq1TLX91`j7bVk%)q%Xa5mvL9wHyEI>xLCfJzXX@-v5)Zz(E*qvu% zXP5c>&BDgA4ldf-Zq;I-jbhbSo}ZPP$N8T3KZ+Bt$J9mX2Cq%aF0MV*l>B(_1C7r+5lS2ohi5+?ueS&c>-i<~J)-C4w*A`Y*F7%{?}Se+ z{0vG1xsYG}G1-!bU21m6Yn5t8C8`erc7z1VqLQ%=`&uoMgLNhq)C;(FGcW{D+PTjn z$T<;vg9wI0>wRGCd9u}^L2nnY6oBkp<%9!{IYgh>*aMm$ER*?PLWyEh9gfQioaL92b- z`UAFzkWFQZB-~Bh;C1ZcJz3*ir_3B?#XYR&i08A=Ls6QD{kFO~*$~oQT4ExZv#KT= ziO)v;{`S-Tb(MF{Q)awdhMrrPXK*b|C^su>h^TqB-e*JmHj`?^q`W<{P(-OycwUvZbQ|PdXE|@ zK`G@6f116wS7c84P^8zjZ!yZ;x`ox?vZgD+!osqk*OMX?<+JiG=fJchQYC3hjJRmH zTS!P~r>K69vcY3_CCT)KQuYa?n9luVqX`?K2IH0s-jIk<`weIZ5Ry)PP8WR+0s{lF zBSuHpTuukx-91U*d~g6wqIUgbHa50{4WF}PB9D4Ta;(d=bN32$+t`UilgKx~YCh3P zcqR!^MzGo&yi#TH*`8DM?oQzJ)YsP^*m9umfK%9hP-&wQVybd$Z)2*@&|^6p_2G_& zMw9JiP5j2spL1RkhDzS2=g*%%xkcwiY${|@l2lY!IB)3ld-sLdx@HhWKiqZ(ZHONH zvz;*vCwW@=ZrOJzgm`v7u@`OTsHMFwH_DsZSiB)BdayQLxl=ji{ZyIo4hQKD4jI?n zl=~u0X(6^rRbx-4T$nWezL_Wsa?Z{x#AjglTkQAVhl{AjE439F)W7uQUxcU*!Oz#D z)#6%5C^??b(YG|%p_QtT?7+Ya-)FbpoILtIG0}5&&>Eld?8E~M@;D;etrjEDNtEo+1eoGjx!k>n66P35WVQDimpM@H2%3hFg)FWO{Z|;e`eIwF#0g zKSy2^$1A){Njb!#b-UVb^HwEAe!o>w8cdoQngh~e`xA~Q1^3HLVioS`JCpeQXgv4b zS}

+M#yxq$`f)&##$ZH-@m@0aMU0g`E<~@ zMwf|yJ~`cQP+PL|*&BUyw|RQ+`1i@XyEzBP>$TiA(F@Z-bgGB@(JTLXR>iu7Cl$j6 zRHh)~IrCJ~T8hHV`PQ{DTE_C$q4dLt1WCXf!fU9h zN$kkCvy>IJotm0@cjY8WnfY`+(QtvCo!#_%-(~MjKh|A?JIPU!r@{+-kxo@P(nid& zj*Fk$@V?G1F7CjCpS|TP%$-SW;f-v-=-;hda@{~Hfp)rKeOv`IBf8g zv)x>~$e?$1_o&=0Y8G#_b-*WT87;)*E75iuI9G`%J;ik?m2gZpBZhW#KoD8e&#`EO zDaelMH@vtDJ=JO_KiiHJUt19mZ8Je)I^$8q`B98fS+<**Nw|;BPJf?3?U(uSOLuVahxB$drreyp z;}qrVxwpbG9SS;2DDeQmQzOZN2u(F;^)91JZK}^q2utSo98I=)U~FwxGzBn9u}ecV zpUa|_kyNgeu0s=pi(nvhl41hWfY6I?PoKWJ{`%><2xMCM(N7TU4)*r;%8#k>F32d8 zwG|X_5dOvo;A%~;1t)yL5viy{Ix4?=Sbbu-S7*TOv-v~nNSnzt^dGz2ZDGE#wJ`AGI#E>(Wg5$dnHL`>O zSK=d0UrIE{RhHgHMprq%&&ryX=p3ZjeoQ6{YkT~laSvjB>qyV`eD~q{`a0{`DRUf@ z!jXNwy}h0E=pnMrU_O&|--%qfH~xdOjdzP@P&i25Bg*mb6#f8|^0&we3DPkHm~uNVVeVef6(R+c+F{9G zxAXZ%olGx&hKMd>_65EwBz!*!@fDmD98a&9^D5Q z#9l#Coo1t;HY9@3i?I)13igyc^Pdemuv@{O+Tuh~;!&zCJLC?U69 zhEj=cjO-%D=1ds(44{`E?%sq^T)V)JjT9T7S7yFzF;(ZjQw(?vxbnBzy=XV3q|SK* z=$Hwlvbngn<0j??38H^uLfM5V==bry>F|4fjpNsz+lmMsbR|Ugu@yU7vE8(^*iH{$ zbeCC%7qkfuX6ep^Lv9H;BcD-ITPrgT;mz%6IY;B}-M9o7h5~LtJ-BOSqt*uijdA>% zZm!-YteUhD+wNp29$(AwLJDfm$_eyj<%9$mq7VhfX4uHc2R7AA<$a4g)1!~ln5dK* zp}Oz`%=qO4)OwKl&?|IP_x8|vQrw}qfKMVC%lWok{P^2jMX|iD0Ek$=S3hITNdlt- z2(}|#XR;FkI8hKYWkrV9+S(cv#odgwg9FAEJ#tz7 zKawB4ZfXv|VcE+4%niK{WPMPN$s9v5>AjOO)o5Aql`;;)rjklcY)e*i;^APPR@L&` zl&dicU$@7I74`LL*1^nky_^i=l3c&LV?o)iaZKy6bZu^K?oEB+#ZEKclVP9VWcvBO z(JIj@Z`c__lcno^eZ4JgKO<}LfGvKeizQ8Yyfy3DmGltYBgzPQF>tFmH_f|#g%2t- zOG;4X!0mneZchl^fY#Y4Nm|GLOf#v!mWGsslf+T~y1#A5^qa`X6ihL`K4Gg$(+ zp#;3p9_((WL-N#q;3E)7MvxK94;UMbcz(b_!xhQRd}kTeA3O*{;F~2K6OIX#oDewB z{}nhc$wX>7{MjI{BPWXoa6}nFw4W~aFQ|XqN!@5=eC@qgmZma8pn`8kWZcPo(d6X6 zM?KxYQSTB70S_!jUbaY*F|1a8g%~^7Sx%PMyyK(K~#6tsN+vtf3!B=?sllING>dQc_aN zrQ7xU-=XTd)vlM*$((sD{{aIk`3P5iym@N+HwtT4qH3U}a=rW$64uLbCy62Ej+Zg+LHN`~6jG)=RhT z?d{DkGMB+3Dy+!9yUpV1dIo-hXn^f^706cmI84pz)^rSKawT<^%b2_5!~;~~b2@S| zk%OB+<+U=tTyHo#4aZ%;p72;L)UYaSnQjDNDim^yza(0vHFjB0>dGuca^p@PRoc)& z)OBqk-WTckGT19~>F6JLAexK9iBPi9lfMRJj}R{9g?HXv zQ(?Juz1Atfnm$3fGQW z(i)tjQNNTvXj$U2HkRwP0ZU}0>1~w}B)I){978G`g3K+MQ%472NO0R$2w^oAz?oBP zHj)Nj8j;5$A!wDB!w7K)Y9(tM{hppZ=ECRH8zHw|P!bapw;qhZ(@wE0TQHNBh8&oc zs=T3M3{|wpy>Q;ZYj-f$Yk$f|5=dv>ZFy+a%mP*jP-eziv$D1hr<{&i2L7S$^k`M% z^Bhn?ulljiLoie*<_eDj0 zAPd7PGc$DbO|DDP0FJl?tIPxjp&0?=xn8hrIyU-Xh!li;PHXjB?NnV2_@y?JHMwj0 zwJs19-u!+E4wa-_@#pARKd(>L8uKPgj}HzG9xMVepeUBv^#~GN)xt|F>2Zm)C>t|+ zL?PfLs&7%7nTZa;-r( z%jL7yK%_IcDy;@UI6(KJbBT%~S($WJtRC=C zoD=`M4p0VU*(|*W3>;ob@l14MF2aUp?bRPHq`(^!Vf`Pgq63G9bDWXEv}S-n5|Tmh zs{;fAe&smL*hlCeYuvfR3nr@zvT#JEr*ZssvV%E={Izm#TrU}#UgZU(xYxWf1=LYSb+rh?S|H&-3;0Z{ zx;nQ6#1mSFfV*aYHY!O*nLOYK-4-U01fEOR+XF z)!B>;a1eejZ?gJmE!2hybe5Ed4e zrAzxr^x?yY8dKMzI{YA&!JezoLZ+luQtt@z^#}o!z8P&Qz&ocCu)Ma`21JVVIO9b4 zd}bJzH2j{$18AjePPZVIK~@?P)5VWO_-7}J)7QY{i1Tm%aWdqbrD*8>EalH~$YDtr zzm1QF{R4y|4m~d#0Yuk0j6FR)E#EEaVvc2qv!>U-rlEXk2WlO8{TD^m3zXO6m1<(n zr7(%|8>>9IZ~8#8=ziG+5fKqHJ}F31A9o9F<<_3gMhG!OAR>b>fy{{*Km=(mxJ8_^oxt14iD2`SU!Yn3_V+oaj2}~oEQ<`oa~AOX}2- zpE#e20?ANP;*g;t10az9aSzC`;2y@E4XUpXcNT9w$;ppW5sVQ_HX&NR6k>Ac#onHa zlZy*H2_+uz2;$%}9-3NO#z^1)Nn&?=|L42Vxj6ONTfZR|>hR?JL4B8v=<-c;#tg=D z(%fHhrC2YG2vf68iTn`3q6*a!4!)k7POEYA95jGQT7B=x5=5(BxyV`mB^FKbYJii% zWclG~@TeJYZI^XvS3>q&43BV%3ze7`0pg0u8!8cJ9>JrEUNG3sG3`bJjB7nBjN05Z-4oYNhJz(Eh^T; zH@757vb*Kvet1RAQHl1w5SoEqQ>+Sdmg24!Z0nMqm8rvAxijZQQn3~_ zv1!Hu6Qf$1gqLi$(kZ%0PiM}rD&tH>y0~mhj+L&K%-6(yYTKxiycfyIthzRXdGX1* zCZm>@l?%Kktg%g{X_?wEG)%XSWF@i}`vg!nbH+Wz>-1z+T!T7}F;PS#Z`{0Ng9H+l zdWz=nDn<4tMXRx*jPr%Bw@VMIzLu7j?inELCZ(q4(A9R>ZcU0&TefeJRg_@94J(cd zk`rfT*8cP1DJkr_HpA~zkq@V)rk3rlh)Ur!R_@GtlXTURW1(-GRov%&h&{t)(?Dmk zY8}US?JvVT3u+aRGqK`|PcrPzc|o0mx|Vjwq*>cuJv<;U6~k%yYnw7>iM2r5U0h9x zTbl34`QUAAlCF1kn7yM6^VlxVWoc_wl3>=3x7?_Vi;IH~Kdh^-cRn-J(0E=~Cw9@- zsGU>*@9#OjbzEb@1QIO^syjPs!iZP7wu=|;gdA4bzlb*FV-C;q z|7Y*Zbqg($yW+eB8a&Z{K+z6{cZf2dyX*1i;JfY!knYYIYp8{W#M>w7oP*M9!Nzyc z&e4&Gb9}`;^v`OiUh9 zGi#fLgL<~Vw5+TwSywv27cOT4Q#*X|T5`CxDkcckQWJ)PeQ*7L`%Y)YWyY~EqDf`i z?D1#E#gAnRwNu_PCG-ss-z$Ih@?~Dm{mbFd5|-i<@F(uoKW4y77;XU7FG)W z<924dmQnac`fsj&4YHSUK>h3OLr^8W_(bf>62q_KRR%3zXX)wdXK3eV+nxs+Kc^6%cswwq|Eh5tP^ zE-tRjhY}114P(Q+A3VKH{+ey(LiXHAGNt@7vUPAs>N5ZSA%XuHLh@WnlM)jjy-m>h zcyi*|UkcVZ!)1on9$xZ-T1fdtc#GLPLa^A9T$c8~7CTmH%dPv-ednz^rO7mxLEZI# z+~?~ra-!|)tjxibVTWb*FJApQJ+*&5gQiJun{YvG@c-^MzbDkQr_jG#Db!~7FtC93 zaPJ7^&VP*>9htAmiP#U5bhK8!WcXQ#aB+P`>}+dmD|3F#$LfRszlGEP!EoD+C*{JO z$=nfhI?grHqV>%z2=~lfm=~_onVBCMIeD)psVnM`!HB*7>}>}bq|op`OhAVlw?^PLb{Ko=)j;Bw!8V?V)p+X zHWUrLQ=z$WqI>zj?u6uy+f4$!Du)|NNxW=uKoODa^pPb~p{1p=)AHQZE5QAQo-Se)yc+jvGc3O(InEcV?*E>MD z^NoxTdY|S!1I<;&SQUCd(@FpTjc#dG`WbVJmVoo@XtfBz5MwpY`4)%p+0Q`022k;C z*h^Z|OdF+e$kj%FbM?^5N=MSWR{WKt52kfZAh}aTt)-QoJ3AE=rWzWhewS~we#u_bmW65 z9+(*%nV5sem|Mp@9Bc4txNd`vj!sPWp8%*ONoO!BBz^>{!s&&Dw+~d6mCYW_8v+ed z3@WVt8vEJyvAMT5#5q-Ef4;xJANhPm z6_t40ZD?lHCF_0@BPVjcYoa_tj~`m14mpUN&m1ffx?Lu3hjiXTgH=Tn1L2f^%*L@eM()*D>Su?MiDw+Y^adT^p9V2D(w*z2JxBwz}d`L|T-+LDfYMEj=PmV}& z{)3&2U&$Jgvk)j$*VdZ01{2iGLnq4md)+8(I0rQ5Wep5o+f-W(zZX2q6>OKCd_hk1 zAsCYE2#^sRHJq!<-*RG-k~(oH&~yv6d8u+-SQ-c;sDxCB`4;=q77IPCzK{uBmN-aH z)-^Q%z(#c=ch^*-$cAHuqP;cGM!Dcu{_oTskXG2EvAmfQ$hs932;rapqZK*P5vvG9 za=$~z$t20u4&7Aag29jyzcC&c_0)lxl!4~0=MjloAFSgD8*qQTCeQw=Y zYR9+yE&ROD=2fG%B&;PW?&2>hLF=U4&rf$(w5&&po8TaDV`5@rH(rJivAhIB4MSz5 z#hNw`*{O$P-i5jSapqH?1kEiY9*%+<6!>1}ZU*`AXSKDpGu&psCO^4;d#eKfJAZh% zn8sAOrR6YD{LeOKzBWc`gphb|0Em6sGA%udRy?$` zQ$fz>9Ka7mB%SG85vRMTa>2@Qt*fo_OMb;lJ(#%zpSl^d zmdfprEkGh&w#Yc_?t1sKYXEP%-?a|?vB%qs4y>7}z<(BLOtJ4TdfpznEEqLm;AMIW$3nPF429Z~Ex-$dEiE*GA(r9T<1JDsZKJu)n9RixQc}{HN!KYY zGpsqtpy53|%99Q`s;QgcS}mVHM;b~C;L=G@!-9r6?>XzTZ_SXQeTVBe6oYm_Ev^Pw z!C`4N-Jsfm=|=8ZGZ+!+ZYwW zM%>rWk7+UQvgFAXdwcs(;d_rObn9T2GM2tLwofe_yB#Bj6$Q~7a;lZ{AQZn3V89FI zzHK&H8rxtxBBc+G7dHksP~mLwzP5jMzC=rEz{1`tAyCK@=PCXiZKv}+4AEG=2om&Ko)oVZ=P z8gA!`}1dfMC5>e{=D-ljIi-M-LsZ+ z65}+eBWF>4^@S7q)f{?N>ivr>?HFJLFOnqh!B&6~#KTsk`T3oP(vl^wmXVS1`udGP znt^S5^aldKk;{dV+M}n$2!}k2yBKZ^4vchGL4Z)>44jx7jHJat(XoTd0;?ahD!L{p zs9pKFyZd$`-SsW%wtwvlAw-|J9=#*DCp;$?zY}y|5BMLja&Ux~#jkuRd!(kEDysFz zA7S!?jm;cpVu8bT?!w#zS$fY1TXze-CB*nJxq2mz6#-l#c4lon0&?=;L<0}SavMa) z4t!kCK;}XTbZZOrs_!^>Q$kn(o24Kp3dg3uYjWCiQhiM)AEGRmi+Y*g7&+t#2u_rN zaTg)R>VRgo6`V?L6?AY>B903qo;{w>+&zHoCU<-Qns_Ynr+fUS`9QohB^Ap-fMo)T zVH1>)N;augFp#|?kVoMK2R~B(w9;Y{`k*2Y-r;NYRlQHW$vO`<4lTV%2)fG&z;=P; zvlr)w?ub+`{z{;cMwDEAyOBv->n9xmI7y<;dAX+VA)G-!rTwLVl{K$yx;bzSdG zPR{BOCI-fjUZJVE!se!=+~%aKym$+JJ!w?F6{15cb0$~;b<_ zIvd;Dqg2x*BEaviK~KUQ?t8FgJKZhvxyH;aU-@}(kOY``feUz)81YIE`HsiPA@uk& zp|lG91;}=c|IH9xU0p{;N2ei3d?|#}kv2BI1}lG9)?p3pQJpHgYXGgCR*{VYJq^BP z#hCeiZ3#$QYn+ym!KtP7c1@6AS5*lk;sC)j*SCX~C~*4z#v9z++@7E*xOnkm@v@f? z32at$^p#hVKD1C?qp@vRxGaBVIygGY1Wr%Tl{zac3(;s_6A`&z$#wNA8d%2EVT zSTyvU2}nq?Zv?^-3j3Uji8`@NlRX2KDtz~zKr<+g0wlbSE}}V|K`iu#mygapiiwWC`fFp#u)G1F zWApd=r%xPwQvSRY3@kJs2ND$6qY!MpCI1pb;M!f_BAj25Xw1#BP z4rR*W7{fe<;L`~~+wU9)$H!rN?v2mRHN&*f6PGlVcXf4oIv=c)mkuCsVMF3ARiSGD zF`0%1FqRe#EGjPtWl_2K`8iS%*?T48&tQ_iCp@Oi*EsIjZJ(M z%--I1Kw4nFm6erCI(tj~GF9HcYgDMa0TUaa9Bld4*VkLnNdhSF?ptbtFsO6s?x2#6 zBZ~Xq{Pj~$4>4>agNO@2pllV|T8I#e9}S`Q@(&~99-BKA3;-o|a3n-$zs+CY)Nr7$ zEa-)s$oYV|sj=@E!sp4uDqkMQ?BKOzw2(QeuP8mc8qn1#s95Vt%P>cq)88W;` zOk5RzjCtY0*hE{=RZY@I7jVh1R--L+-KPB$e|0!kN^*yFlndN!coVeqNj@H}u!D0- z5eot4EOtdo|tF?e;U>d~5jc63LYd3Z9-M@vddnq@AFGaf!57x&=DY2@W$?wkOK=)&W(AfO~utPSNFum|Q?6(z#Y zk!%$fcd=6k%CBbV7RYrB!1ZiP6V+u}Q&RSj1Dj#gn5jA;S;X;ebbS27isM0Qaw0Pu zYT_&-C?Mk%-=|XJ=etu#w8ez|aVw>L(G9c~+fHL43BV#LDl&zB!|7*C|^XGWw zW!R*eT_R@XM!0_=0;W~(&wD3_flAKT*Z0Tra!Be8*Oj51w{HPK#a}A-!o`}W}aLLAuVkrw0pB4gTOJ6)?Y^0{spr< zU2H3^gy)B4yK9L|;G1)$m6f;b?0C?w^77uPJOzp%I5bqcBa)^chJW&Jya%9;i0De5 zj0-~ST^YJJe-koWd5u>oF@%|=krD>)v)``z`t-0GkkrdrSX_r~E;t%#Z)=+doofpi z9K^DW2MumpCQ#I2!vL0cy-z}8e?I|8ie>KHA>`7lLQCJKj(_Gi)T;DlJ z0n)Ov7!Z>XHG^f&(1O^C-cg6c6JsY zm>NLPf}ziQ005#reN>Zpn%>gZ8nF@*5e0zMLSd#I0D6+JeP-L|*UE~D1m?XjnJ_Rh zmm}g~EW=LT>^#I+YPTHn@m6R)0JMw^bFF4D-Ner~y96X5(dkawnZid`P!uyDbE?`J z8~RX>e968|rWhe4CZ-2m=oLD98Anph?tnM?(Fnf+x}V^jB93qxy3dsLwqTA zTvR3XQTYjVS#$a0Z;Ytf#YGmeS5WYv@=s*{j=ut;{5YBc zW-|-)2RCm%+0k(yzyB>;{g%(}J$pe-ROr!Hglu~Zl-r+*NwM`xz0PDQGukAWM|hXL?Rw@ti3 z>(C4VCD|_J%8lGE$eqy5E6EJ(?CTq*5<wxlcZvO9jzv^U7d;08BpL z+T7nyEbkwL3$dylvZE6c+I3I_?HB?qP>w(8N$b*qoP!#XQbFJWFQzK}RZ|iY5^OLH zBKb&a*27w77Z*}#8JPf3nhzBW3$e1YHm?>naQ%YDIRxj#ay||YWk5GU(a>LUL!JBk z&evk*=FF!3E=xocKZfRD01%uwJBxi}v2k&nGkmp1xBbq(txp{78Ww_K77c?#1vw%v$rR&pm32{?R7X)E4<_i zC8cFTA0wm(pu0K%07F6Y47ykStLM(01KtW7RF>XuZf-m_FBPC}10O)H_cey3oH-0( zoZ!lpXE6-7OklKX>3eAo56Nk z`qK3CiB>H123k8hOh-!}9sq@)e&-IoM?LJwMYup3Obzw$(+l(Cb!ddN0j%Cr*# z#C-e;YDuJ2hs(;4+if6CGy+|(uB*%DflS4`RZEKmmLL-_gq?$fNdZ4%=U9I#mJ;ip zw0A(AFjT`eWk{z7Jek8{Vq#Z-gn{2f_HT1*>+xQnbpD_Tpj({=Z}Inf)xNNs z{i~4O+|GXQZ^2|zCSb1cc;@hU?ca$^_yz0c#r>9DFhCfCFIq7N|Fo z@(POen=qKaE&vrR$Ab^Jpo9x3Dk_pIzsI_gw~zj;sE8ZTC(pxA#LBOPOYVPs3d|8` z@gfKF@6E!nyn>1fd?Q@-k~owWe~bb2#Rh#zO#tr@qbe|{rvx;gShqeukH9Z_Mn((* z0s`n?TtC`dv-;Y{3Y-G)b5dqzjDVQ{C5M)m^AD_VgS!hMGx@j_ycnsX&c1;DX0x$* zm~-DHXKFV~p#*b_i?6V#y>11FZTE8o)wPPCnXwA?Q;^l0PE^_VCfEU=Kn3wr8jvMK z4JJ$@QuCf1=o&z?xE(~*QBW-3HrU_ZmWFXe9+0?0dgy&agW=rO-Q5CaVa79h;o0V< z9nuk4nre{L)6*jtQVFLSFykQI?IcF<`NT&rDqwF%K6>5IF3@=nkKXkZg4OiuDh?z; zr;YFWWRiHxoyxFDFgmukJ{d;DqI&hljR*T`QyZzg4==q{PWFXt;oZPb1m?hmAF6@B z&^K`9Um)HNohlifg+N_~80Mw{+6g<%U6eTf$yYxt1WhC8>ji?6TGVOjnUvoJW9ame z3)@|#rlE;A{Rx|iSdy%~{0t=U&Ym7w7Z*YBbfyhFeEjxb%ij>GJ$21OL~;NHpOUijKx#3(meGB3c$f^r#zj0lIY4>x z;pE2KqqflhuEF_%>b{7N4>yjOPw+FisK=pn1{m%dnaJV6GX_9k z81gqh#G~OGSI^~gP~K}(8?^SJqoWfR7ETBB7u&}Nb_Mvl6P^>U!T_6vnj{9qQ>?$V z`z`p%g>0yiVgnwK0^E7py$ctzFR}1-dG{pAxDvz_|CP^3RO!X6 z6?j=oL!p%nQ}ZB1nqFSUhB@TPePC(H06NR2J%+6YAb3vG!1d9?hu0(}4ezDod#&Bc zUT|mS;kg1NOnAI`ds6z_Mk$nL5e&6K_?`xX?6_y>mA&uV+|nX*?i0PV>DWxx{Ci;EpPrDy>G0dNS-z;xp>e+OWVm`7C9 zWninpq~}AaCo?^wROSz%ss32I)ZW~{zyzj*m_2OK8K;>%UYdFSAg zAt2dE`fig3qNEVRGJ63j5C|3qX66gX)i7WdjFpy!y)VkH)z{Ts0gHfryCx<^4QEux znMsnXR3~KnJ-q(u{))<5OTLFWrchKO+Y58)nnJfjSa`Zy5iIj4HToS7z(zJMt|2c; zy#{Z6SC)6Jt+IZp$X=*O5t0tzVMzjQ7 zo<)o|EbQA;S2>Y9S`}S^XzuIR750C(t&(+jB&E0iNGG?923`%S4IF@hP#^GSW@ef( z-N8dZ2ofUULdc6aIDQZ`fgKgTG;t|ACx?NLj|f=tMyTq|E_+x6=QZK^UBHuu)q8q+ z{s7l98&?AME4=AGiy518K`si|0ok(k3SG{bnHhkrIkoeyPXr$Q+F$;L1;eWFMX-Zy z7qP^3gxWDE!u(8f!RpO8hE^1yD-wsI{^D*3`dxkeK%RbtD`w z6#s-!Z%2HLrhpUx_%{$ZB`h@jRtb9ll4?&(xH*$Y$!#DOa$B!juC9dKuq{se^c zbkHLJwCL|uH=5AN0jtq3&~#S6B`^PyQ9Ca-J3alXo4Y&c89pKDfq~&X7<`q-E*orZ zF*px1>k4p?CLqW_Bt!3W7h%UXD5+k=#rXjut`E_2aw`9xwmejr!dL<%zp+WSI&fvc zlKN@q58jw9SqS$AmcBg@9dbJt`0o*q&s&6ZoXcBD{|t=+XY~|%Z3rn&Gy~8f+1%ZY zpXdrLxIKvR0kSPMRElKmDyZjAAo*otTf-|}HJbb7F%!T@+Y&QDYkNCA+zAAM1#n9I zNqA+YYiiuZ1Mw^lVB2eM&{NjbR)U9v80*KT&3T84~RVIBjTNjd}s8h1fq73+s+6p;!Z`7f4Y_(w)`dU{JXSc^&| z8Lt_Ki)gG~I7!~+Fb~*lGfsGWN?#EI0Sqf=Ml#cY6%Z{W|Bk1u!LE@~DrJTMh~7zz zQeMdLc6N4XXn?Jgss+rt$k{dN0FfRX9yay$sa3v*&F5Hw&`uDeVx%hjx7yIjID*4! z0`j3!&#`y`q%Q^gkA!vNf`fw#2(a3~?PCU^9|nI#emZ~s{V(hI)M~1m@D%^?V`d3U z_>X^qzX%3JsljRd>!;KX#-@Q7mjcapb&9m?fEki*2nl^5RYIMTTq^=gI}b|^4p!z8 z5FkOy5M^b4Ak%|iz5q9bav~7AOr(~7pJ%SLw6qv5DU!W)i-D69QGH$K;NW*HgI9;g z#SsAl`;w={4nY>HPizMltMdwhMiw{&0YS2CFTIMA(k1X74NXn6b#np&0oDrL2&jq? zFMx6HHU#|wsw`9gyQYXe$hf93*#l4C1dJj8b<1^T_%$lPJg>yu387|hj8l^cf%?6< zzduHRjGmsC64^qHEEr+KM}VcZHAfh~>>C|m>02PaZo=0QngD0RF#!7v=HX`n{1uEG z!Cf;%Q0b@}7})&zgj(=1s9T_=LZqOmh)8#k%bOq(mVF2AOCD4iU_U(27^dJeH-h|L z<-Ws=A;segr`WRq8;kI;-{EGDpHmHVFsy2n0lN!7;U9n^@jRSQ1V%EZZm7hR#ou}L z0^G2(Kq+hHcNi&08445Bgm%u3e)3ty^#Q@w$OVL#a4y9px?-_J-ZI`g4vUV9!%KJYT>yNG zf~r((v+?{1J|jK-=pVD8WE2&pM4AbB!B7&lmGPO+oWi%auPj`EzQf4)IG@xt`jmKA z7y!gP6ee|+waqXG3fk>wNymY>!XNA1{c2f(3{xW%;-sjW8nN#DH z>g`q;**8~VL;$c6@7HhNoL9#_;52SWNyrs__xiCq9=nK1e+T1CF#c?foI0~oeFts~ zGKL8Qz`pbQ^aL?@`TFdrK^GmzYxH*#fY~qwE6VJ++vjOax=trfs`~jeTH~#IL@_2+ zwNH&28=G_v_UM&8e;L0xbx!=Altd0%LmJ>Q1srigf^$WZG8asKrITYt)LT@S7i4PS zL0!7)2$!f)OL*#(ukQ+dZ~hW&{KbMAtyn=u_R}4$-21;yv62qcuk$+RJ~xm+-MU?R z`KbhYTG*6q7okr~bOSI8(@@hlmiSx}_=AYjPbN1zvjG7NaD8`>kr z7jm0f{2Cu2fpeG9RLW(LdHs6q;@BH-#<_9ft9iQsbUo;YzWBwe!mMoI^7wPe45>gO zcr*)EVgx%oauccx1I%CcdtKwpx%KgFPTlIoSFiINVduw%w#S>_2|s(V*WZEmLgW}l*rgA^VZ+o)AjKF-SJCtkI4Mlec$Tx!bosvR*RS!5fd9x@XoZBdcaBnk zw(bDpDA03o#S<;%f-Hb0ZQHK<7rvc`i-*ojr_R;QcDwH1CS9<`p^2w>;TyD{KvJ)x zzs6VKO|HoG06xvy{wCl#IJHOrz3;*%n_)%KyCu%MF+(Gn4I^+8Nax18nBcEBUJgtH zCp>`s^SQS2S76uXr@8Kfu~@9IkI_F#V}Yz%t_SCLI6Ke!-+v&mQSE&&kfUQ&z>ojS z0l5Fv@Eu5)+r0t9-@mwQ|L}7Fdz_G-&TF_imMg-|eYNNXH}EB3L!Yoj2PtPD*LPGm z@cm*t(cV|tinZwb@>Oxdeu=WBrCdYv(wNa##hvwa`tz?^|NU2GT2RvPAmF}Rsh4tU zM0y(;(ca?)3Ib7=!lr&*=I7RJ-?{@ti7`%gV${V$yMKzWp;K?)y*sKiakK2= z`M|$>-8#Z_xz{^u9B{8{(i2ng*=8z0*m#})3ACNqa$%5pFEDW)ay{h%Q}j*XF=Idu z1-E4W=9Yv4f2~-lqU#|5)lfNoZkn@jl(+uBl`y@!_HIQtb#F;6%|8w2w;vovcKY1E=8RECCy9Wo`ZY z-1q`ptk34~1lDZ*xhcyUY`H(~2Dn2ZWzE-Sr$&fFG(?)zUk_NT*0*^>#IBQBsj~(7 zKdEpiqgY)m+Pu!HRutl#tAWF&bDZbHd03s)9y-hSFh0tts6R!*30}0ce>XQj{@9ch z2yByn>N$R+dcmLv^dI{qy- zc@pAbhb@_bgqdILyM5LESyf)m)#GDd4qSnrk>k#((@KpYt5lNVma?*{jMl8z>nw?= zm4UvtJlHvM0xt9aTcLbzoq_|4h%w2bF7^?qIK_9{ab_f&?9SbogX;YhWmUQ2Qz!07 z(LjKfRs^1RQvR&ztWDczBN8IuKay+>9(iCdJ@*MvAkkZ4Z@wiaz>V~<#dk&u{@(>2 z?N{BL^`77>CgL@Y8dm_!bYjpx7nk};i-6VPR?+AMYN0<59CqIBA4=@6ii1q2rTX-W z1V;X+EbhkjsZmwCw{Y&*u}xQZ4UttS(4z9+e-oz&zEQuLIRQGI$Y zfL_Y{I73|r5SbuYd(4>r*^>fw8`!!OR2AXB?tiN*`i8@=0$|-_Z`)NOuWj)O9T@`G zSO70>RCR6^EggQy6hx8vuG}02PW?DnxK+<-9IoK(Oi8&u5jr*H*gas3qz}o0y$#{a z3Mei%|8-v8s)SOAyd z(!xg2#gE=P*bTPf0Lz$N5e+4BYjgL=gmvI`fF{Zi8^-Wk}nDE^#j=Uu? z)?IchJNfYpAqW5AG1-9AKZS1l2@OCu7Zu&HvdTX?%_|T{k%+ zbGQDCdQB<6skuS95r&81zD6guutLk5ni$bh%xwXdXkjB>dZ>SFK1uQdecPo}Ee>VN z2y9?|+Azb{QX0O1KBP;4XQ`|IlxvrgiF^itdXg|(KA$s~yk&8HwgA$cTYcMj%J4yp zHu*fQ-7KHkYv90mqxY7si-Nqlj1+Z6=UO68viVP)Nw$*sOW<;XE1-+MA`SF6c_;B> zYij2uo#_U-^07yG%E{{+520t@TINg-j*shhWw9R)>wQ^oaz-=VCr$w-FORkut+f5+ zRyU94w8|@dJg2t+E?GM@w(m->%=#`BikZE*JSm$pkbRy^P0X@fOUiD#0&Rj_?*ey z+ZsED4}f*tWt`LV*f(@lOoB#7whRomx6`nqCCGu^f(?}OYjc^8 zo5ER%<*ox?2Z5UX6RyG8U*Cx@PL=}W6XP!zof*qdk?y<_Q(k-Grq5@Ac1iORz*On- zc&?1~yi2E#^%uGch&U$Ml@|E5Ot~g2+cR<*Cb93T$d?ASyxK%CfUyCPfw{2pE*Z<{ z%KPi4Yg}@5^9l+{64`7Z1V%6t?-bzkdk;@@ki0Drq;SL}7(Kb7vtIF6w4BOOsZTtR%x%DSF?@*>1@Gc233 z^$0z}xyJOz{09+MOZ@dc;Ar{E4mnS)e30-OV$8r;v7R})fnSpSxM2V_eS=P4#BuTm zB?HWu2TIHxK*{##1uCl4hq1H}sX24bUjw6)KKyQfF!G(|++{WHfuLvoCLuB2cBdUt zTIoXA`t`f_Pcx>yhe5V&t1~x_q`OpEW;Yk@;3lxh%h#1IqpA5AV8>_X=dZfp^=z@v zHT3*bX8#$As0k1aW@80$?jN$m4SkW%p~wr=r%C($@|cN>z|(q}{y<{Yj$eAH6o;Wm z;H>3%{R~5yNi{XZc`2u;=*Hopy(9L7hB@QRMdG-Z7v~MxI-^Z{UM4$x@B$F)ckmd% zN9rKJKzjE=OssXZ{2Cc$)X)7CkH0Gmxgux@@A*4p6$V^}BJY=PjAI?PN9lNeIGpnT z>QxNUGa?58WW(p`Y9V7|+*6B@D?ZT0bg?zi!xg*ndULS16G@KnYx&ceKW+_ZO{c$p zy}q&jyQS+B4)wcBgxERk&$-Q+naJlGpV)#dVqG}Kj;n#cd|Pe*P>oso6A(vi!^7p! zZG+u6`}_NEP*Sv44-AZof6Z$-y#31Sl;0$*wSZ!_QE_0JSlKjiB1YIky0rY9k@b^X zV`dh)$+`)9pmAxf<>a1Sad#sIdhqarIU!2^)hout7I7B0%A{{;apisyz);`TEtGSc z<#6W3#*{NiR4?u=jPGDM-dpFbS*Ya>{sd$)Swqp$18)ujG<2=p#u2wK*I^5ROKMDPEZ1?oBe&;sLbZj zVyZ)XS6LvyLJdxP^KV@ly)07%!&g-cx^4CgZCIM4$9d?!rNr<}!c*5bHr$Te zL;?8d*BdY=85H!G-eZc1F=M}if6SiZd_B|>X0Z@LlHHAb4cr!=y$_dR74Afveu}HU zokPje5kY5G?(rz(`=LJZTx%ZK-2D>3I8ez1120XW~5tn>RXZ$0Vt4)9jxxo zS&%Y00~)SuVlSm#SkT>f#Dn`X13|9bEJ50&z=iiV|4D*%Yc_vQGabD@{x1(t4M%y1 zUk4zSCl*&@4sJPn&*hw-uW0{B*M1Ss)h+Vvn=9=Wn?1P7gtq12gl$ z2$v;`iCGc1`9D(g?`=X6krFyMG#gQm{x=Wz_Sw3~{-%dDlzy=vdaE+Yk_}r7zVfp# zE%a-%`&|z+7}ec&g|+5Q+g>+yC8gN1z3pwmqiW7*VraCq&-F@uK1KVxFBd9{V*Ocf z>d*06?#6RI4IHv0yMAjFb1owrJX1}(6>2K&@5(>qlHZ2;IiK0~$)9lwK{H{Hl5+r| zU@pKqTgx{td-QkrckC3&!YIBr6d|JG)8Zo46Zt=Z-t`8-(0(q>pMp-kSBbnH9#t{1 z{#W*vdVgN$K?%Hd>F(?9`b~vzZ4D5Y3-T-(iNFo$^R<3S7D_(&Z3MMM*h|x&AOOXG z&sR{<@XSY}*Q7SnE#SnRJ9c>QPhG+cS_OdUPE{vM5)7#_tiQ%ZB;hQ;>IONZ-cUP% zmPH;JBl?6(feR!srQg!DA%jyRn@Td^$t#Mqs0KvBJ&H0}Qo5HR`u_!6M^^+J;bg`CY>9r*uduxG7g zT^jy67bvm%ZTbL62ca{8@bMI3vUiy%e^9ne{I(syzm^Y=;R)14_ z`)EID-weB)*6?|?&hNBF9$s8yxj?JU9d85>v)-x_xzgqWDtLK671p zS_`@k%;35w|H-*aOVuhrzdk1Z1B9;kA}Lv)s(ZMkmi5xjEhe*E_x`*7bg?KZJd7q> z-#;Irk>Du_b6 zK<1oti4Up_V-}Oc{J-scW=YM#)rCRNv2$2$|!188ojW$d0 zC%nHD04$VlVti+$rRuGgAM)iwL^8bP?Z=iYn~CdtsRL3S3*k$0a#3onCV#32OmgbF z(53)GyW$m@3xk`F{NtaZaC6++U+=8rancF|e$g*dlIeX}4dW+{`+w@;*DAYGL&h&3E0%-kD`9QBCx*v~t_w%p$ z1He@5B%W=%bf=>HE}~*ab8Ik!-DvgqQEzVY)raq@HZBOf*DtLy-}iAve|Pp0J; zp{YQxo#Roe;y{z?the)XGF$-Flw^R$V~`oF@>MK}usq5_B%1;d#${kg1Q74PfThc6 z7RrF6ZXD^ra84WvkF8sA=qa`g(bUrm17z$<3Ywc)SqQ>5Onepd2Ngzzvk?53y!ir8 zHhFq82^F?j5f?TK{3c%Ribdn+gAVP1zCp?U`s_z6Nqp&@CvfSz3rB!#ek?2<_{=O^ ztD3w$5->$L-{H{<*w3791z!mvk2`a8R=Yp#=fD?BU7&qcn14)_?E7K>9 zOF-7~^yDLowMh0UaCC0_fUbxAASD1!T9X(K>*}O#mg%oEM-^K zOMv-)IhOfE_kkh*2+HMzx~D|#>_c|c1Lzjfc4CNXkdr&Bbc*i>01Mu=L(G&m1Mf<$ zOGyyVjDaBltJLF1JapTW>xG(nmf1>r)?#WIFT#)^k<_)S`0P(53W5}j?o^q+GrBdd zgb~^g=Y%d^<47bMloVPd3m_p?egEPr2vEkDKuF~^ z+bzg@WDOsCch-TvFd1XrNYTVB+30{ z97|M`+7mFib(esDIWj|>olDLn%ia}A-x=~hLI9~pKP3?5wolS+URM^3-e+BOe0D;` z$Zfw?4B)i^7F3u;+eGIzA=C8eOR~YO)25NTyMpO2=tI>LQLNk}{?#Xz5%nZqjw(esGpNd3B8zC~mMF!){ZlH|=&=933OR0KgbHBL&PVy*t?;Zkl`!%ORLH z+{;BcLAQPx>fMqidHdLOFKs&v-?y(NTUfBFhsZB@V?K@hLPX?JiS`C^*Iqte2)+j;k>=oR6$a!->FP; zYGXt5PF7p{Ikx2#5okO)NLN5}HiK#Fk32@ZGy z1=1Af#C-B~65ll35T$pA8-Bo{?n@oV;&;p0dGiO*d4Kdnvpz#x6jX9}nqgwRjbb;; z)^??PAu2BW;RCSxr%PW*U#E@UzWq?@mNeLGBaPeQ2XnOoh%2U}<2FD4&j3pj83APv zZ4ajVyZJTdXv;&}>l8kEe{PLm`V}6znMg$FV(`>g8S1rZfsj>RP;`O9$UzZ|<9B&r zFQSG}^t4IwU&1khcg8B&U6z!An$%b(+e3Sl#@tw0*SRC$shbdv6hL+z($#v2RY5vp zs7h?0KPDwnjnGqEm3gTVa>sLRkj|xP7Z?i- z0IK^yoVd*2Yw)C$D2x#oM_P0cqu&uRJe?bpd*WnkzMqHsozmFWn0?+?ZNAlUHX?0h zh&hpUN$fu{#+9&?ZqG*~u?Jav_?vxk=@WD>K-Y_qkB|6&Rsu`xP*QEFKHF&kPq}ybwXYJ} z*FTAU$+6i&W?#;(sz#HlA^07)5y&|jU#*K=HK}s!ZvKxD=H&P@+1k+d=J)x_kDKrC z5jQV4COEb%h zC}Rv*HLIv*t90}wNj4vyX*Vtg8-dZ^9&vUJg|t0xf9BBtO1Vn;C%%NXCku1k<+R?) zZ*8nX54U63bJ(9IC@b3|f8Ya-N_%R6z#SX(2>1>QKJ%OYBA_G?>xos6E-e;Xl(PiK zK7$PoC128x^(%VQx}0h@cq*ExB>B8fKnL9;RiKO%(N#`YgiC`s;=5I5<*%Kf}RbAhc+S<9#EBrXEGaOtRO{Pa`>WS`RCXFkJNZ{RKJ?FP& zMw#H6)_Q7ax6Tz<(@&X+ZA~$kRTU>gyry3L;oI7=vOw9r`=<9y>MV|>=Utp?%lu~8 z_2uAko1dOpb|vwMbMh}Hr>i9m4GCGsT5u$)M;qC(^P`>|CO5|S;*dx|4n=K=_eFw} zak`C+Fg4SUw{C@dZU1apu98G@&l=Md9-3YTWy2*8etY*|K7=ntXp~^Qx-1`c7=u7T z2b9Y?(GIVUpEXFD76*J#7Ll0N@og%;bwq^1h=v=048UQLI|t7}o{sUT&o zM-P^DNx|d{d`aT$&Sq8a?sFBxwI;_k69QKZ4E?1xut;s)>xZ^I1%&yX0&ZbplXitD z&Et`Y)PVE5fE+;H45p3me&(jxq>z_;><}Z=x ztIK)dry6k6rJPywo6+6Q(Zt3iGYv*Wv$#x--clVBqT3;Xav4y=xy{9XHdBfAx}~9{ z6<}hbqO>Zs1L)XaMB<%p;$e1r@p#Q+JX<{>U=vS*YawtR@+J()XjKD56sOx zw&qdg-YH$XdyrJ)HSA|^?+6S6=Aw46a}HBlUYjR(b6Dd4YYk zg=Xu7+AEzTr*$3%vu=uhH6j-D)Yd^DRw`);@a7^2K2T_L?S7aClRk^&JwIaC1fjbr z2?Sc^u@PEypHvbMeaLJA8T26@t|&H;G{#4A2OR&z`m#Q3xC&bO`ksG@LCqDx{M=8f z&ZpGcYN<1RF|x3sSTmZqSZLTVdu~`ZB70xHrNZx5T z{>JwyC8bnr-?IY6&9f%2s3=hC+u^4(E<7)E6At^c0f9Z%YOL*ne0se^T*OLM0Q@|f zNI7GBd-jD1-vZrz9w8y4;J*8WqbNuUf1`=BsW|~&YW@WE<3&N4lU1i)Uplf#TT3Np zjl&xo4hW6vY}qJLs}l}}shJ(ELgqaiJdgf z7K%WQJ06!lcoF=GC< zFcrZ!O(m^6hjxew^^+ruM26t|d@U+wXD5&Y6zV85e^yEV5=vU^>B@F1aq?(d{A4|8 z6LTh))aB3e6+tRnm%tJ5D3v2z>x}2`1y3GHR&6e3m%^(F<4(tOgI_9gZqccGcKP3}$!HP~Z+Lt5Yo%EKgm-{s%%PA{x@YwIcegmlu2bhw-Kp z_n8`W8c>Nb${<%tf%Z46f|NV*5Jjiqu6olO>xy<1RYcuR$z^x2{Qet(Jns0K`8 z@wjdFJH6iXH**|nW5E#oPyxjlH|x&HeKRlrskkV^VtB( z4wssM>z8BNKK0snO|UPaTKg5lP5es-)7kl^wHE*8X8&n#LpTuTr>=gamo;@MIS>^( zuf*O<`}a>4N$W zxc@N*c!yd>jcvD}D5G=n+Kt>7=+rpuo-iiuFm$(o7ab66!4XnI`Gg+@T={Xh*nAcA z(rlsM0&du<52KxLBg+_3y5=nrxMqLzER_(4j1cZ%hNId=hz5@4gBd?GjuLt z$t&mk^zPK3p}S%(zj;+t1+{_PQcF#(rR69z&1-%6dvZ%BrCMl0oc^~T{G38xyAoyx zV|k>qLl=Z2i^+Q9dk+?bDYx>ved;TwgB zl~G7yCRqUhA3Ax(2Q@HrYxG;mLqb*aZ*~mFRG;PXOdl#lrDRvqaFklCbuCwI7(Fkl zvIq}Oh#Yc&zb#bz-Ocj{!1Pe!^lpJwhZDorSzf*k$CUGw<*IwR)%&H@U*>C&zVG?0 zK-4`rL0X&2Xu>P-0H6Ya_G_z|JVZD09w>45Dh;=-SV0dD6h#B%`7ZrzV4rZwX}j6> z%)~`)t}e9NISh@Rg96qo)x5JRJu+zr&DxLPHSr=kr9QJNcoR&i|0Yafy5^ZKi`2ce zd$})UQeTM7ui&P>Db&%}7<`&j8|WQt3x|*76<6!{l^HVNjmrBN#_UhWBE_ciOWq&> zR4pmavwy@&wVVluVGJiYT74mfK8?*YTTY|jBG%LEdw|;?iyq7NGzJ7jF-I|F2-P^& zEHrg&z;ae!1%FqDw{%}vkvwmo80o*}vuKn-B9@8L#DBu;=4Jj$q?Z^j)NJX+1{0tD znG@P>s+L>RG*D9|Z6>#C?F!4;vQoej4=>*e^}bjwff@t~SWxG841HMn%wyF{vREjdw07YpFc?iz&gF4$ZGn2xxPH8+}rmrajlr#Wr$z(s0Z$u|gkh9d_F^ zMT|qa&#$K&<0mcoeF>O=x3~G4nlN|*qqhS5MHb>OPiN|0E@4vApIQLiN<3T|!1g9g zaU|(=f)!0I)e&*B)}s{gln&Ev`P}ptwzey_eaY2|QfBW33AGIw9n(XTmo%=gQgH<0X7@!0h3O!-_M9t1r;P{XI`ajb42_I*#rz$oJPfr1 z-cp8WKQs^(z<5XRlrsPG5&11&8`5I{A3-n4tDw9XIV3$D;rZg;^Mha7TXxg&=Gp=|&zXD?2^OCh68fZorO;#AuYJbzVpE|uKqJKh0Lys54QEhMlZtx0`uQ1* zii?rbAQ8wS9=q75)@rGIa*TT&0P$-wta+c3>9gOuTs4_$FL@MqxVr{tiMH!lz9|5vWF9X)X*8tuO8HM&;31yz|MmjJ0)&3C4QV&| zO>m@!X7|&D1zP)#u=oTKdUSRZ9bW%%ozsQwLxRr`aqESSP6 zVN*wY?q=;#>b>n#D}?wnkLfS&`946{c%pn9o0k)-*(z-_K3<5LMeLzf zZkL_yiXziEM)R2c0r~Qd!nr~&T0K!jxb9>NV3SKJ*7VShYiG9;4>$cGG=yLM;6Lft zlxuRdy{1hPjJ)Q*)t2le?<~*@K-(UMW_3jNJ=r;!NL%yWyrz6mh$jsVEgly#W4uK0 z595yhQ<6U3#OTz*5bNH^F16&Gsk2uA9DEyB(7Wm;R{p;Tl+XfDT9tVZ3fn8N@YEdL zHGdf1!=M1R{UgEmiess_zDHk`1g$8@@S)Mc6=k`#e++G$)vx zQwnPR*Not(BEW7sa4whtPY5ID-ifE=CO`ltPn$Hq0&dcORU1;ixYUl7uej>)y&Fdd zBQ&Jaq)d`>ueWpaTDYK9oLI9|p?eE|^NDOCU?T!V<$+&AQ`eMfqK(D6@7jl+Jb(wd z)Me;vI2~vX)_S0dyAjnX>bgO=IxPk_rmLh+9~v21NEzRn~DmV%MEKwRAh4Zh|TIu zn(WLDH~yV17(}faFT7=VvbNYq zgF0lm+$n83e8PI-*G}`Q3#3OqaX2BTQyD(E1>3Xi*(Hosj38Qe1#tdon;cq8`;zG8 zFE-~zg;{6i`4&}d;O1Rx)y%;26$1W;-AWY$SV`dfyO$IPXmH7+z6gtc0F_XXbyL~l-uk0lV+-D@n-<#K2>A~W>G^# zswA1P#Zy=5?xEGBt05R~;^y})hn1={-Di0^t?ypC@WS+>rFXTDQyDBLF__Wx+H3{P zTqa^$OLA|1i`VIJt9XPT=8lr`K`%WkbJW>~oGnH=>|>;y)+gz5zkmIf%*SlJpUkw^Ks!TL7qQZoN?|d1K&JAh^_>Pl zMi$CPq-0AbU~5kL=nlGg1{5l0)RqoX(>B-lvY9}jLW`|dG0Br&vTL$T6F-tNrAyRH z|BsK!d=H=hw(Pwb&(rB?#I8#(yeZM#a%Rv|HR{p=Xxhw0lJ-{A_se9p1JV?BY`1}{ zW!-!Z+fx$NCVotQiUn%}x& z?#A$nkpH=yFD*ctH2BZuFz}@m>5r|CjhVzmWELcT2t0wgtie!Tk;atbGW4JapJRy} z+?qdfM23$#_*W*0q7Ow6B^DNGivW6Px$5OlU{2bO2y|niP}f+iAa#|sL_Cmpb3_T? z_gr=Pd*;0HNz*D>&wLmC!A;9=ns*#x?>-V)#o^Kz7nXOdM(N8tB_pAQ9sw zW<0!u6)k0*1b7;}U>qtq*s>*MzL{8$ z!EY2i)FbW~Dw}P1he#3gx1NY29(lt8o-VWT6u!(lAA;;>xcF-+h_mN>{&a~+;zuFY zYgnjiKh$qi-`vgaOe$mkI5F>@dI{g#Div7ZdTafFdPeQbYjU#cet+LWOxEk7o0~HE zo7S%YOLZ>~oXcOXx^EWu+~sX4E&)65**G#jp8f8pivd5N&@9It`U~EE_q1;=-TQ}& zF4Snee|e0}%Eo6ug{nVhc)D_>92va=BQec4<|eB>kkbYSCERt+7YYC{mPsZa%0{#DArQRbT^sBUbciU>ffU+=PB}xu zqyh(ssny%m%1B^=hZ_|donsV}EmqBSE(RBP$$(l}OTskZum`WX^XIP3ep6Pj%b;JO6LO>2gmi-PJ?Qs+ui8J6zA;=BDw+B7{jhLd%5N1pHSY8&Hqnx_Ok`74nd z^3mezg!9vAAp4mZiyZdjrtlj0WZ)9bG$Ht>va+`YPs-K*rQSnQ*^doa zcDBs?AjUg$v^co7hH*)>|LU3mVG4*IXor#uCV_s{9)LDA>%q~>!)E6&fz!9Ov&W{) z3L@x?znMQAkR$slI4A+NTEal;q$UXT{aB4+(cY+JEh&~N16~$cIDJYoAu^r z8Z4j>t+{X@d8*M;L8j1zdjSOT$!XX|Y#u=2(eOKtiD~wXUg1*d*q5?IwSQ5mZXxKaW?igoz@%U zjgKb_>`Bf}_$p0H4wa~L(?~y;@pgd@)J(JqC(1Ti%4-WD3^i`hYdVTAX^dar_zk$y zRyqCEp;DJYU+txuYs_V=x@t>JS>$QB;uQ~mtw6Wp%=5i==u%{oj*-VR^V56L`YiPe zbB)VY3_3bm+z;!LTR7KY{3n?S8Ss=Pvoc_~l-Od!7eIHgar6+_pb1;qy|{NMx5*IT z>~A;Y@SmZemJ^J zr(UM%q5P<^%wOeWh2b-`=V^m*H;R7=m*U~))Agy#k<4b!28nS-d#fXywFmOi{)?sqEe0CV5f)q4I0Gv!&xp_alP&8f>TdHVVC$0!*= z3JR~?Q=_E(}q@t2$)sbgU)nl?gS`|=tJcb4<0Z@ z)vx9IGzkPSYKaNXNU1GC`53k6B@1~>{ogQP%ESCr$say{1;ACMJ-&J!;91=>5o~&1 zxW#{2$BVQR)@=Xm{4&%S*!A<+r|2&sOp`I4CcjZU_KH!8-Mogw{O z{qJWASvjwKb?W4y-`z=Z41z0)$wsg zMWNc(cH`TX0OR$o{Vr+*w~|iKHV@;invP?kDsm zz?$eqHzg<@iW#REG~f;&o09y*@EiYheEZZa+Tc7KZ8o^ANz-V8vRH!x_bInlIqrY% z29TZo)PX5+$!uimeMXz@jup!{Oxpcnsp$h_EwMM+*8S?^g+Nv2!qXf$;59~DG6vUL zXIzUNM_%|!*rg(t1t}grHx_O9BIsCGj}^-x488O`UjMIWV8-Hw zOV7JvNU#dJF57hOr#%c%q~mjqS;#p-z+p{St+(~K{7Kq8&0@w#dcKSP)cV27KvT(J zs$S1Q*`s%Vh7X}|O^)4-;K7Zl2EGREP&(?9V;XtjHMsUz9R9Mw_ltX>PePng_I~fW zbM%JiwDJ{-%KIS2Kq62Zc2E+S`B5yKR_ZxGF#GZTm^WQYMY^7#wb)4Zfo<$y@3dj` zdfbVSBqL>MCx)?lYC$aqH%;6sefRVctki3gDXotK5>}|c#0Gre+$XYa=38nS{er6) z5c=oUc7CNz#?;)oaYVaq)RQZguGaG_A0RHr?q_*j51!x2<5*XA2v`5Ev78r;1mw}O zs0d8agDcJa;41842XGru?H{QDbn9tGG*M^Zbj5xPcDlCY*)Z>(|0`owGYrjR^r<7V zfA$a+vWMHmOOYOz8#T98IZpWwA2getm!tQ_(j2}EWxa8s(_yD7t1>uMfWo~1HW5?LzG;yt544vj0I?zvNxNxpP*z0${bXqI2+ zb8~dI6W1&k7#~%V1K#!N3oqh&;9>cE6oUNf1|b!I9ga4lW3C)uWFOboboxk4XU>sd zQT1yo=080@Z$#|(`ALZd(f*wsA==Uy^ zsbsM!Jx}{?Hy7@O9@XCenyTshKaNzWQ(5{E6368wq8o|3P|cV(~~#uQN8i?}GldX&dILTU(*U^0uZ}(M1dn`R0B1WbcaOB|2k7r$^`lT#DeMEX?O_Dz8)m%|kgiFuolwmoQZe4AM?k<3T_ir!PS;ZZ{q5>%at)D>2j%m1(v0}3D zyH)OKrNYmjBc`gH`Q^~w)2;F$ODZA);O%%f05kJE|DsR*=K5+u9r* zARR@iJ%jj1MboF2BVCeoRkT@3LVGlR{DEO^GL zgVztS-H`7zs)3Tb1j4+k+wuuJ&CMa89u8bo5(P}GWG4FV1tWB|#7bEFu9B;qdh0HK z+zOBj?)zr`z+P-HJ2!-?qb3c~y70UAH|t9wMaGgzhvNodQm~9N=;zDIz*BSL_Monq zA@;5#p`Phv7uBn;6bO|*Eb{}vu}n=t?W5bix2|YeH%ykAs3beEW7r#)j=Rm2cYZ0F`zPTC`SdLoangtdl*c- zo4(7T&h`wO4>y_5L03Ua*1&Yd#4H{}Gym{CDrSjBi6*;;leLy{-p(+y1nl!wjnT~H zN2+>iAD!!o)q><{lZ9%tF;mgy4AYfOUBHwCn^Vh&AXoZB#Vac~aR^?~XEy=L9#VCch0A z?<|cDJd^?gG{MizH$4Tt$XA(ItgZCm>WBAFH7xjSnzbVCrK~}_K0iJ|Ao>4bV0FfQ z;7dwFm10@vr!xt$d2&L*RLhTOK-ulUeQscB6!ApbYcvvKr?~P&s^_EHZdkC_sXy>8 zQiKB*9+YcxTR{hs^H_KUvpT`aQpub4)clq70U78|oaFVjeHUq%9I_;;)MN8kGo*L8 zvs&Tzf&|jTFze>U=4>a6Ln;=Qyj)NvF)0C&bz?pIp;n1e!d^>7w4%uEgM-&mu1ZXJzgrsnF47hdqa(c$E}jq5n()9^#jBe zm6R47E2(Sukpu8~6!y_j7Mx%qH7&yMudbY?>zu7DV@9?{rJRpnuWf9c;6OD&Fb(QZ zdroy)S*of)*>8`TUN0TY%f1~w>U48^Q^f7KrZ?AM0^isMq2-F;)oQ<);&qxMMVfvLM|;|-{~LWhgP!6k+eXA^4mM^ZuY+!R zamO3THAj3lk8Ag9#Cfj%NUfgP+a*A1L3}QEZgjq#RGt28rMC1@|qKuVNs3oq_Cmn~|z!KGdaCyEq)*V+-#NvwSKcOh2Xsy$FU%kcmQl4Qc7$a~#fl@H}oQ0t&XL+U6c&z}cT!F(=33cNTv=B&b(c(#@?IN99QZ2=4l!C|qZNi%@5-&Qj*GjB5_UHLm-)Gi1{VSA>`y1iOkMbEWd zWsL}of9vJW0}F)}e||7u2;Q>D&AcuS#GeM|2eF*YK-z7U2FJ%-u9t|=u8?1oJJha8 z$c22N4KGWhhau~ED!cJNcXxvK(H#A%vQ;O43Om@O{no_Gb~Rv zvmnlSM($29pMnDJD^*8$Sg6P~koDIdBsa3$%82R~VtNaK_42kk7~jDl?f!Py0FT?C zVA*;HeXV9Mms~XIePAeeG7Pap4fiWT=y90RYzWQ8#VX06+!hWsG@a6Y1Yr zO+IUYr1_7f8=^Fw*^*oUKOmk)i#L*h?FbtvVp*8UI(V>-2pnS)j>@Xq#bF_o(rnOe zcps?qi5CJZ+pRenWExHu#Gdf)ZmXP(k?bg5ZANmqG6{2 z=8pWDmo1o#hQq|wb7l>#&zc~LjqaSCE|yr%_9OX?O!hC+Qakqsxhng{m@osCtUDGF z@}HPOAIlTuA7e6|W?ZI%=r;tJe#h=E7K(zLc6D($tn<~VF&ESUe~Ctdbyf5=+(7wN zW@=OJe7UJQE&aXiSWP2R7_*mbg@*Kh*_t?QK|w}OH~PD6u6t<8a=prFV3?$pS_ z+%wlw3Q|&Gkatx9WZspPlVj5BdI^%v94DYdz`DLq(hTCNl^Lk3Q1=RCqIk3a+y!kT zWBY_4G4D#wi@cAcDh$h~8iM!74vslkgCI~j=DJoD;@dcQHPR5|N5o+_pIO#Ji@?iVAI z&xNwH{T9n7agS;ed9MT`X0@=MazWT61jZwf$v|l}fpGW8gS5IokGf zJJwy#{W|NKNGhDXA6vYyUSKt16_~D(*^6wQ0lK>jb0wplLfy!X zc;q;E3%PRJ_2=r1dUc*CfAFPA(VlKPEdc8-RWw=1(^w|x6~vTVO`>Jjz)GWVG0&~Z z@E#-SWCZ&0%$tRDg|@(-7wPHR zjpP+lM|%T74-NHF)f?ooyv%v_gkP;@o7?RxmaQaVjK7J+&7#~Ve*z8l*j)FKGNXH3 zC4CK*Y*GasasziR2I`BV7Ut1UIDg_iUD8jr_cI1lQE_{)L}-kug6vI&C(HXF^3gpd z$)VK}nC`ygZUd|~gqpV?g!$OmaUWMa>GAvpEnb1?Fh^Y8=_CWLLUki^rldo%!Rnxi zI&Hngh7?}r?d~X~)A7?Rc@G$`ZXcI?-qt3mV!u#PGC`^n*Kr$Xv`YdMMb!^0x11+K zU(ZC|3=xBZ1km-d^_#kLt%stC((T2nK4X_1$z~bf8`IR7&#d>_)|qC-W7f~Cj);j& zjS2JoI=`9{%c38x_Q^rE?(Ngv$*r+{3M%zSuJiM@yq()lxjaLJn#Q!5>IS*0N>uoH z;u}HZ#Vv^XnMl2M`EV4#Dtc`3s{Iks;<6;|WgJ7Jx!Ws!_9ylA_V$8;voaE)0PT_y z^%eAvq6JX(jQt9+i>0NPdM%9cviNC|S`gFV@R6#uqVdkY?sQG53KJ4H6Jy1;0H`1T zoJ6#{?{w3X%1(FhJDUhx!h1^#62>_-VtamxLS~?oRk>G*(h$P+z+ioM>0@ z5tjm))Ff{CcTe1M_{565kuN1q@t>aaTw)%6eSZ3g?e8RW2v4-lOMeXaF?UueZ+k^D zmwP_H`>y-;f4=r5i-M>xA^c~|6CQnB zfImLbehRXrAYs?>m4e*H$j>w+d*fDTDi?<+WJMP1+D{Hm9b08Rd*JIw*UFEtmY+YJ zw!h)wq%qV~e!L$7HWX~n*z9r?@gAFUQKmtoV*%uq`#YFt+E*&IC|x2UsA7-A0gl!h zjux8$k9v4Sq8f=q7}7tx4$G`VJ%{_a>u$}(+i@!L6N9O~^-L=F=Vk>9&dQzJu@3b} zK{KdM+8htKPd&!hV7N#x6=RFxjc4tV`nO0;(Wmpc0HRG^(T70)Yyc93uyVXtb{15n=z>$87rT7*rw1_0T!=UjTKex1O?sr~IlKqRv z>zfv7jg%|YkR2EYW#gkV^H0(2xIRspGFPixgOh_9Rc|&VcnyjP|8h0&0(f|-1wHxu z5NWb}441**`PC$YQuTj({w89GP*c{au7+Iu26=`J+nY`4AK|swOSC@B5UTUo;lGV` zbMm?t>fgT}e>TMk$s+#e2e5em`z^s}|9OWipI188f8Kz|PTc;Ve`^iCBZvLZ58RPO z>AP^o5 zsFIbJS57{rYrj5D@RJV?6FU4mqh!qNE(9R_&>yGl3Tb%KPjtOsq&XHi2M6LhR19w- z5#vm(m1bJWYe$GGdvcb5#=YraQ{glwZvM*;u4d99K!V1Li}->Kgz^Prd*A}$UKgt{ z3Q8ODHzpB=vGgX$Q@fw0-t39e?N_*P=wW&K{!ReT_{DAAY9e<3SJqqd32Hz)v1>v2uJ1@ONM+#Gr9e(2o3 zk+|=7t6Yo`Me>gIVC_=T%yg~NY>I`G@m7C6h7RH`gojZsdQ3r(x<(7 z>-M+~gEaStxAt5|14z@=7Ex}_NyH4HtHafnMXht>A}isjcqOCw$%aKQUyFMBKpRZE zGi0`;xVjaPh98&?rN(4jw@F&8{$PK;_%vo$zMMZB69WXAITI7RqlsK!DhLnSLfEdS zJ2B)Q$$=RCk?DAo*qvLl%()IjnfJ0~!K)DT{3#+4n6<6!VmYSN#L$^a< zkaP-pT)wwHPi%eN+kJ7q`K8fCj>Be8&O)xfx0rm&WazDb{Rvq{VTQwAe;_=aXYi8n;lw2m zB-`UCbC@vm;CB`^qMX~=4M!WXqc*NAw=C+LQpC>WLhTqwO*TYmXe&T_edQ%F5{`{b zv1%^sdGaeWfN~JiEJ^AQIDG?JaM=_84RSp$SJP(&Ff|_AOD5C#5-F?BKnfEfH-?Z! zzf#?F*^S})^DdFh$>DlyWu-pI1Sw`YIS zV3BA(4YBMuNRz6F3*o0Oh;Dx-E2mMkCS_Ye1ND#@<`Dq^*IV(bw`t1^uX zzzP)Bc!NXkH)zN(B-r%RluefK{Q_ayZ}8R}OqqpMW&PDXhYUw$v))QtY8Z=VCB7Uf zG(LR)f#HqfBw{yWMHfDIO6Z5${c2rE5|<~9$=jGhNCSvx>q$$+M{a1$9qRV z3d&9Mkn{>Y3@?*Nwt|H5^yu?N|AGR?qPh8_gYzNrAykP9)(l4}9`a1%;tocBS=Rh- ztYi#teEp5!E67^$MlXMx-0cWsE(!Sp zzmXjaFgg#RcF|5h7%NBdTn*pIvJ&$PS+)TR))=pJ;x@@b^b)VAu=~BDjqKeM$X?Er%v6PYvFV~l z9QKnjuK50Kc}oE)u~jbCh{pQFQsmrHXkW;%4E*H&ZuHHxER_&@M0)f#m+{%K`96Dr ztKS@Lc*N4XuYZNqCv0@PoF^2*E$m_gR+uxLna+4^N5C~t1IK620yAW|yyU#h$Do^{u+X!MG0^FL?7Fpp&`>WbnY9SMdSNgvY zWA@PPT9ISUgH1B?bk$qmGnjN0&k+8h@KpCC9%0mPo6OJ%-j$;@036PsxgJBAMDj5*B*dRQMy~i;TZo`R1Hj{YMHP zXaB9@uL4tJ-3*fVD4CiOqKq-scg4fgw*vWmNAF$!(jMQhzqCj2M0*1!Uu=iVH;)?76SNd|>jIoBC^PKVI1n z^B3nf@5V#FR-a^}>j?Kh-;F-c68-UC{qZ{f1!Cjms2#i6uXJOVx)=;r7w8fHFcN#{ z3%u6-^jqFvB=zt08yJtg=xTxev>OWoy0oT{G3Q2f2CN@qG9?&@JzD7lDg?0N^t#6* z-~1(aSKB9*|B~-f@obXrjcHFmqk|VWV3kGhK>UMP$>pD{hXvmgu00KKa&JY7c!#K> zFI~<*HVZ7%6Z2a>Y4lAV1L5Qj6LD|4)^{GQ@35C#{e!u1V(D76u`5JmC4{*&-TvAA zSASv5lZrTHE2WZn{bIC?r0rL$>6o?~JwK$!Ba&9n1auS&LQKGQjx9t?_t!*#F#S7T zl&2{Y#DqXdvVNFqp>O5$;OD~@;-xnUC7;?wj#)}(dgrP2KL|+YFGa_XgaH)vST3)% z7z6@H;?zSWwMYEr{a$$K|1t^LK;jP_!pKT_To2Ix(f#{>?;Q;gC+$I$^8ajRi61da zazw(+YO&pnGopv~mjbc;{{krVr_o6{Ew5MK&Hcr0pz6vKtN1*rhiiGW$jZjrr!F99 z$)135vV-Rz7L30ifsWJVlXf*AE zGQXzM8Tn7vPV&N_OY_O6lMC{06@NgeEjvJI>839&&W2XsU$Cm5*!jdIe%{;5b`rl4 z+#h0T4GA(I{%12AAK-bIof3RovzF+1EV{Y1Wo1pbuWXM5T7vrXf2(uUaFxi#Sjq@n zQ1F4y@wW2JcDg(c%|0pK524O2 zD%vo=dB15XjYyCwifJ|4%D98DMQAl2ZsIVEo%GPfj^%A^!dAzkXKYxa<5UeLVgyvO)V;cIAIIOXUB5 z;olYce`9$>*#D2+9=-DIPVegKQ*zqh|B9d_?C{9_Iyv5EZ~l+1eg3e^)*0IHk^hTZ^*H$a|h0uBM&XD*2zFciQyMBL^_B2zpW}yqgx&8 z4?DdEtS0M^=Q4~-xabv4r-Y^Eyrxz>Pwr=t;q{R+xz8YdyD8**E^SO^&b_gAz5S~* zI^)@xi}@eGOXe4(V6a9#8g^R9*Y-6>jaInyKTc5bl74}Eh%@yeAz)AUUpU}WBAy;C zE(CjLCm_d5G({K-<_Zwz2gGN$byqgKdU1*eMpk#>)hk+N+T+_US!L-xthiC>-<<|D z3ZFkeZzOt9Rq9@yti3AMx|+L?Y9wkzL6uSZvAO!W?tCsOcc6%-8W&|CX3`D@NYfgR z^oSqn25S}d+8nGistdy_<(36i64C~S8Fl;vIerbAwNP{$vLJk0q|(u-J40=t)*Q)C zYPLn^aIqT*R%>Bcm$~xb5?fD`N?!GRarXtDHMe?je2BXy%YJ*qCPQ|bz5+Z6 zgqFjvcZi6m+D0b7j()ly_Uj@nZnx#|czc(jT2Kp~nG@Jxvd&Cd>KJ;P;e#E|ZnYFx z8R;4<=GQcP!(jm_bF@u!GX>TKJ+AdTHx~j@UnCQgNRCCp?frq`M6F$w)@5{afm!L7 zk$1n$0|u*{Tl|L}*CXZFiaAF9{WVL?&HYw_G!Cc*6f`0l^^N4=n(V!15q^R)_=qqy z4ii1;R}#yv41)K&z0vXUx#NcH>FF9(`?|rHt2>cgGh=Q_~sTIcPy7+$5H~@4q^@4~wiFC}<)o zYPiogx0u~^bb>l6?c*sz0=+o|ot*gNTtF$68ZIUj6XtNNrir{Sq>-N9HS`|8VQ*3g zv=l|OysUS{DA&Bbxx9cQq;;|@IH5~`{XGTuiy)^eG#C>71a-93nNMbXbcuJnEPCZ# z`DvmNAAQ2}IqOcx4p^&hU$aiC95sjvsQ1rjk0@7eJYVk5BDA}q!Kw7~m6CO6Tv@18 z@`}i*OMNAmbPe&Y6;|s${VgoDte3VlV$LcCT5C%$wBmY!RNVJcaHqEN!+c#f>Q?fq z|CebnP7%&{>*Ei0xu~-1{Q+SkIy(x9oNt!Z14TnzS(?li9aGL{;Kj^^LUGv z07Z$D&c(OmEGu;Q`}W70X?g^?*B@fJ6<5q#@`Ni@RfKA+?kDXb7V_tP{bwDK*=zWy z1Ff;f8!J1`KyPH!dD5x|+D2~NiLt`{wXD-~!}P-e4qH1s!G!b~@tWo~&{r28iHZ2< zcs%aCv(L)Ua;EHTcRCx3Z|}a`=cT?vwW0u02=_u*cjf+Ty54$n*+)+!LCL%uK+Sx6 z7Ke+@c!~|zp0IlB=vw@jbiW9Apa^V~KD?+$kaP30yu2~mRsjOd+gGY36Kd!=4}Q?0 zCbw%u^=Gfdg9ercPZt8I53%@eFGO$7iF5zTCE;D~T7&!v6I8AlB?gqRV@<%f3V5hOLFbiRN_O>p4uicn&FR@G zdw#+Yqp#u6X~}c^-JWwq8O*5Y*q;G6X(eleFTxeOq&40>NM*9;n15|5U#3S34<}-x z#Oz`5(B1zP63s*Y9LkB)&UBd0-H~%~EtAcAZKko}g_}-3Ro@Zdd!~B~V%Y1-GJngH z9|*oj^S`Ygr?*T`exqd8GWS||sW2oq%i4M6X3WiS;l}Q)XU990x4YU>?pLoy}hmT&y(*lwhS(S>m7&i2C7}^;?HOopr2dEIqw{xc zoq?>D)-h}ZQW)L)bge*xVLrT}OGXB|h7A4mI56^+JO$NaYa8NY@ov_+QM|&2Li~+S z>TSQU(*!3-<2f$~qJS2!!2wJRlvS~r6mfsnmo#|__d1m!Bh`#GvP?SuJN7bv$+YP6 zByTSpDa=3}!tK=9;h@e$aly}mBI5~};~*zFX9*R)2H8*Clt^^{ek^X_lhCY6`mNe=`CObCzR z#pP!d$-_nZyPA`^6CVt#eZ21xymViee0O0aTz(}(QSeJ%ajNj`43Gt@EO9TiR+AfO z!$kxR0{&pLd3#F=h$&K2P~-)N#voY8y{=-P;**j>0g98(Tt~XrO=Wv~M@E@KP$mW~ z%HsIwB9SPX(};Fm5^*`1xP}~Tkq+1*PY>aDmC0Bnve@BF)%2Tv=o5Gcx9llVj`B5;!?z**ZWn*CpIF{C> zD>t5kLofC(^2ZNcEBN+_0*IRe+={q1i?x zT<%{Q^!v-8kORd#J)hCoLJ-!&WhC8aE!eaOB{FkDpYyKSiPYc7( zBK^I59gQRDr{8UUX5}%!+SUT1U1TohGYRr;4(!4z*DvCvg>&MXlYUp!(s4I5iHe=Z z-jEUV;@Y-KN398>Ah0MPKhHzCmgCiLj6Gu@UaMHA-Z4=gWClv%Q4+Bb+@yXYDk>H@ zckHOl{5*CG_sAc9J5>cgkE6+dS90K!SlPknW4IOHrF|% zed2##+BZQ4 z3d|(PpU=pE`Y+st8)Qug0BU4bJ-*o1{yC?5LV3f>F&4&T0SbN}dCvuA4B`8DWAWumkGHh8zksTrTUy%oPj0?5GlWb2_}RU@mMBFYo`dI$Cv?Sh zlOIQtryS;RaCD?cc<&oan=`Q~$}w?#pYJ%xg8n@VAm`Uw z;`5xx8CFmqy{os+E2tL1^Xj~#_=B6*Ue})fX{3!O>~l&1&oEwcTK$hG0CRh>@RP zcUfQg{rIe3J3|3*`f?ae9yiMI(XaB1OGa@3t*iywk^wyP$%!%A*)5=2T3PZ1I?~J* zP0qlKThWxK>yh`!0C7@Q;x{GgW(8}?2Fm8-kCBH8A#GFEa00w`K&9#>C%Of+guE3# zi_KQILcEw*Yhaf$;-PitfH@Djz4~uj2Ekw#9syD{w0Pl^d{gFfS$yaFFE+Z@M{KWW z#?1NE#g%Q*8kDPFc<9S^t&U~qDrO5|?Cfm46jy z6NPVb23|j2@qHV14Fq23%?4v5}u|MO4T=V+#4z4wfn%z@g3tSj>pT4Q!fd?Cc){P@iX`EbC1gFc- zAB~0EJlqTYC`SCg_#2nU1L{Ss;1M&OdX12onl0~Z6IIZf5?%VZ)OS?=NF=n(^uGc! z*yio^ATcD68*&<3d%*FNZ>}h=9oHK2@7vo@-32O5<7E}9W{2J6v{8o=Xn>Tbti)>r zTZ!}fU3ia50-@n?c5^iPt4Sm4xnHY@nQWkD>$&#bJQ3N4 zh>t1xe5UFNx$kV(mq~zS+bm7k45a__;{>M2+;LkE_dHN!gFn3>oE|UkEdVoFjL> zU+z&*4USBJ%aI72u3;Y?n@DSDfCT1PF%dnikmsw@-F@!|hjWmsqP>kmFm z+*v``o}oXm=RenAbiSre{iup6;id?L$x z6S3B^>g=wDMBg->s=g{d-r2|lPpQ(n>h%a4wBbF7V`si&0TrX^wB2mImOy3nfG>%5 znPUs0Uk+S|*lT+ejuN)cM;Q}#z;b&_HTeJb?N*$j@O%X|Q~?hWFWD#Ukiu#2ebAV& zFySH&2w2gK%eB#3@GWU0merXRVBDn0CSFZ~4k6D=`!mH~h`6pa8jifW90K{0BZCm( ze^$xDa)NYJUa_Ofxp{s=dp(4gYj=GFR+EBa4QC|C#-_Nv&WA6W%ZzolmIHnqGeYcW zm9%lOw_V(gH+mgl83nvXL48@y!}AN}I~SVg*Pl&3^p;$QVS=r{FwgW;ZZ6MhNP%o$ zLnosyYKpkkG2wg}@EsD0&P7(bwsbJq?8f#AHh=O>U`yzap#@uj{c<0id^9Ku+A#B& zSEMBf8yt_C$txB)8)>cL3C(k?{`n2s(*+jT^e^Il%f#!PSK+khzV5zx2z zSHS{vjwx^x4&t){lW)(M@aYBy+DeLzOWT&;mfJ40q>JBe=#RSNJux*ZislnPgSo?n z6k!(ON4N)(oSy@jkgHeHL#_)lV9&Lb9NTT}uHJrruv*l?>BblCx$(^TM48LiuVmcd z6h898gOFwWfkXlk(7SQS0z|jAj=H#l)Dx^#U32ZIepwz`YKy$KHSDd^EfS|!xmP7| zmNvzL2l#Vi<1Qse2*6taJs|8{Kc{U%+&tDI%NLgpq=`G}>%$Wshr^E6lhJWeM8v^b zVVg&*?_?jx1E8r%d{lQyxKx>Kj<*)KxZnBsrt9WqM(3em8nSw6E6uUz- z)jWIap530g(D=f3yivQS`xGzPeBOn%>&H!1^^KXJFFZ8DOaEcFrECaN8PIh7EC3#b zH+HS~j^*~0@Z#NqX`046g*HaO=3Dt`)6iNk*STB{x6#tQ+yPbKJYNh)$$a2mCg?jH zqYHI(3}qp(q2v!hNL0fW6y|U#3{oq*J{MYdhrP6##!vGJ6aL*RdB>||ejJw*oq&OK zaizokfgMoi(rX(7+a#9VSS+31vDN_h2fXj$%1+SS;KhXAP+5uXUP|rK(y}*rKx0N{ zW+0PZ8}Atm67R=dyGP+uaoOu5P(HxrP~9@$thjSR79r+%(oe&RAr)g7^=w;1Uiqq3G+r}EG(b3VjBqV~C>L9hCY2!n{<}STWhfU^;xJ(Y3 z@r8iS%u-lamuYRm^2S~u%xiaA?r*_gRbe0knc~=AKzO2{eM&gpw#h5rYWf~7s-JB> z81Ip}g>4L+0$`D~$Aky`xLNSQRuM`ibOKlowu*@L(@4**Tj&qsbiJmrKgbC0gF2QC z-+e1CU*>Y#WG0RHQ$lmisA$IVD?DEBLaw}3YZ?`GpPPOKQf^w>2 z<7k?ihlQ%=I-GT4P_1WXLK2#O>5O<2n8f$wz({!P$vihe!lq%N@=eq5S*%Z5 z(<7rgM@11`-*kmH1+zizr|bQ^%7Pb<#yyHycM%VZZ51nFQL+4B&}TVSugle*N$X2u zj8CXZp317g`>V`o^WXT&;OY!{7maCNk1T%Oaz(*_jP$ary;Z!|M z&tZ%JY}(43x>0VHM|ty5Zai@xc4sc2blZQr5Zb+}e0yFArtk3^o{b`}?WUEgR|02- zOc#nS-^F}V`7^MQ1j+)2)qv}6xJXUG34eP=^{`>5D8Xwi(Q7xKs`z{)YH@8G4>(1# z3-b8K$DZZSI6(tDCAUIue0({on9EjgpLl4eF`^nfzqfC&uNmWxbMCP1mOQtjZ)sAX z+=7{rk=rj)jIsn6PbO@R&+eVIJr^?R#EAUpO)1JAjqa|j zb*EaFLTm|Ne0R9N1y6|}H`I0Txc>_df$-G%_|$>Ll_eiV?L3UQ=iZNXVFn zFIw4RbMjQdJ|^Wq=NI*BdMODm3|3P1U5h(UQAuf=prNTwIWY@j^^sEi_2QXM2h8PC z=LCUASVH+?WXecpI-d%axXwX{mgQ}YK_eN?cxXjc*c(04?zNd z!A&PQg`@~ElKv!7#hC$~L6mFQYn7ypr~##w#s0L^7`3+1iLtb*WV9Y`RiBU*ujUHD zyY9XQPn!AL7ZWP8JdB3f=DZ$dui$L(Jz_kt6I~8u3VP;e6D7S4Cx(##a7TT|f7IP6 z)zYD1i}#jrd;66f{Y&e&II75a!Z~HHWMkA;EJ6~>VLo;ubpqgV_+tkdyrZrRkQT3| z=IOQlsXr(~otzXjy}?vVSZsEI$`{wsIR_KDo|&2!4IE%^IPEaZY1E0X>64>WSy*Rg zw2TH{u3|)LX^t8WF-w}N6I4kZ6*xt+g{sq z-Bt98MCaLo8NAX?SRJE7T0rp4-7Sa)?>h>{cc|c`vhfB$r*Vx=uYq+z%RuM$I}_uF z$17Eogr?e_@tlghydq&>LCrhs{rn2|J4N6b2&PQVDCZPPVpqdV;(vd|5!m*;P!a?d zz>v`*!-=+jFgK`|LXl25TM@ZX4?_Y^(&gy|Eg!FcN*jb!f08dSkr$Wsf`H!xAa+@* z3@0#?KvLqB4ZsfHk9MsSE&$WdUmwwgmv`}U09AT>d7bvHq7t=0YN256Cs0kJ*W5K6 zlgl>~_&)}l2w~A8F@{H<^4g77#$6+rrj4#Cl}Ip@2kWOPl&DE;lc1Sr7hc*lNE=sZ=Wq@ZY5{>WjA;!nwcE}nK`ofH?4b4$vG6iRJ^33aS`;TU0y+Bd{_`j?@+EE zCWI_>sHIuH7=u6eW^rx=X6S{eG@0>GXDbYF{-7>yjI7^4`}~9i!c6;%X^zp%Dte@m zW7LPdT+jSm9GLbsoIsILZ$3J9oj*4`Zz=8xyVL3A)g%P7AU?TGj5gHMlo_{yUbOyH`0!6$OBn z15PC$zs<|IU+Vy2m>TC^uz3_|j*JQ22AFm+K^RlZaq%tKy`^uvpB=9@FcdyVl$U$^ zb9nL7`KUxO>=?as?XY{7<&Wcb)CxyP!hng3@}{!`LyqcC9y)-3@CV$^LE{UJ8Ibe% z&mY$KAMtAcbn2M#i@Etzq|+sW%`6PGFk6ZjVi~d#k|cXA`duoPiq}C{uIyAo*pR%2 zqHNZtlQhr0u~~aDp`aX>hHBxAjEue$E~5o{<_)ZAXb=kC`UvDytTQ1iWZA@%;x|pE!AdWDaFqi7P%nRl7DKQaM z|85-60gcNk^lrkgGK#miit_0=i#J!4@3F5KpVoJa01H)=&dC(#;tE=i@(jDU0Zd@6 z>AWfm@&pDcs)YX4L}05Ma~}v6w7eyd+T7X66QbMm_HL%Zy~ue|d?0N@F%-x&G zI&u+-o{t)QbRZ<`!;NpYxi*f(thjC(*|;^m`t?gdLt>%rk7oI?@*Mq&`I_tNj?)!F z8ta^$OXoRcHB;0#Mqf;Sf(*q$+IJ4Ey`xy3uU6G-}V7J;EwXqMc(5%=hif>Z_f4e`%fr&kV$)U-y8ja$DNJF z**CmbZOppSbk?tPKQZ6R+IM3=;inQoJQO7Y0~R*3L5tn`Ja(0eych5`~P(EA3V6`bDm-T1js=7W~*m&W$XR*%p z=;rf%SaB%uhiBV4MrpHM4DCZ0F}A`eM+!IjS#W$DTZ4Z}l`FJS0KSnuOTZE%{`UQM=e#~a zGO)`#JYQkqVz-R8VRh_9WBj&j6d$Qw-Tb9jS8GzR*pNDU%mrhmj_5mt3RD|fuhUE$ zPF>JI@$Pg;CHo*~kO-Z1Bm%~4Z)L5WaWanG3U z-k@H~Uv_l0Gb5#aI(SdZU})m_2?^iLAuF(5eBn0bTs2fdVI_dzzAa@f>FeDqLf||M za;`$VYS%aFxvQJQ9SN&pHJm-D3~=xW7zj%21na7;Z2-^3#Z?7-G9o-Q5-#gR3Zxmo zD=;*R=6zqZ!ujH>_J$6=u-zE)C}w2w@Q5J?e(lAD2?XF?G{WP9_?AC48_d#DsifP4 zE3CK)`+y2n>~sgHAOihIx_XuWy*utkY5+&1Yb0tEzYrp?ntYvNXV4@bNmu^w!=)+Z z%Wq^7z5c)>3=Q!dhrqRN*I1-6n|r~+S_of-{k6rX0tw_#*0$GuB*kSFu5Hq8*ERO1 z`#V2t4Fa2SgPh#_zQ{o`e!5v5F2w~g(HEKCMv^MS`i@8IQe?)cR`WK=Ec5r*FqRfp z$IUbk;RMtK;+ZBoJ zmnoHAc0e z1%yq6cwNi^v&@Cs2*X}qlaWU~8a5_umLI>F6Ai<<>sbC$=Jf|?-P!g`24JMt>xF#U zJ<<9ph~$)ZqWi0|503Trlo*l-d^9Xy#t^=97>noMuL_cdGtttAH;qm{3R_T&mVut} zS7|-co4x#{b(0{6On<)X2u>h@65g_A7B)2Wk?V-CtYM((3a1wzT>*jN2Afcw^8$q9 zOHKni=?wnF84)dqQmZ$Qw~`(<<-br#IO!u$LJ-2Ztg6)-^BORgkb;MpA(DbO8%$Xd zUMxg)A7wWImLsi>7QwGTf}h2QJD=49N!0}89bdV@-Bf(Gc~l4EL{iRBYZB|#v^TWU&W=cX-?*ow z!M?j&)?d}v?BPyQDQj$}*ZmsxK8INN< zy4HDhAS@6VqE(}p#vUAS*kY;=w|8C;>GEUY;Iz!j-b4k%O!yuyA!s7dkDTtV`BpaC zLsE0q@JS^RU3+`CdBe2Lny6-o_EyW6Z?p{YU*{E=LqMlx_p8}8gBir#jg$o{!AgZyyHfV0d=m8#rSiOO8(mcATQsqJHwG$T?BEh8aH-CQ& zCyrR#I}U|ZtdgHHby+q@AYSvXNO8b*2RPd{F#BFXw?PEl{aASh2QVqbn?SBCmBRdj z_87k{6_|F%%N={YRgCPr4nz`I<)iyjpo-1Tu&;H50+aipQI60P#9Buup99>R4bu*y z5+V|PyqZ##%sp)BNtm~Fb1*$fr)P9kMYLLlY1oA9IBwRa$$^pv1b{LpIM)D;G-j_=CI4RdIwCK3pcU@&d1477$*W$h*REq6 z$a#A+;n*y|pHJsQPRm5+8RLU`?NCkh^&3z52l~Btf1PC&1U~IK2wS;RvTghCJYTt6 znx0G1(Iewq&@dB`_#;o1r#P;)b*=sw0;dkFc)oey zuHB&V9B0>oACr;p+TK3+PhRnf$OmQu&On5%DHbP*VZ2zJq@dme;_2itEUc!18TFSY zvI~Q*rBp(DM#uNS_o<{z@l~Mk_R#Khha@qvOjJxLvG|B>QmL%91H_Cjn|>Ot$&Zf{ zQcE{sjw)o^MZh?^BP@sap%C@+5Ng{VgU}n-XYmW6UFw_+FgcYUD|Zt{Y&FV5CAII zE}NT+KRo))0!Gl`8qEvx%{=czG?ry+S~PG$ z<~rds$a9f(bV)xWkWwmVmITMqfQPq}UqXJfx^P#kl-Q%c`X@!2v(Yt zbKT@7CytMfzhj_j>?5C$D;4;?|6cuLM&18n?=7RE?83iM6v09;KpIrKJ0(;Eq=)YA z7`j_gI+TW?yE~*sy1N^s8A7_x9(;VBcm2;==X^P5t@p#b7fT#w=DzQJ?W?cf-j|AP zL!@%X$JTQ{_S)%c<8C7Z3*Gb)CUXUl3VdFFMD{e41-Q$38n3s~1ab}p}q=w1oY>53uaCAy_W$OGt)w^#0alD}Ah&%e4( zT$jnk@d=aUVd?se+FfsjC1%~sUJjNPzT#d;(NaegHPMj1!Zbf+oseEsSP>J&^4^l_ zPRx=2Dybui3W8qUzG6CbEVWwtXIS?x|Avyl*^lVmK!a3Rs}& zFG}OpB_oaAcLge}maQP}Ai{41?-Rb~X`eAk<0S+Y&am{-S6}Ri@^y-p zizUCN?8gv3PLxwsP*4jl3ANT!?`&M)9bjZ)@|NXrL3?!6mgISL16Q?943QENsB`8B z7bo}0_hLJEG?_TzX^sK*HjIC_N?qfo$*p(|=XSZqADGbJ4g}SyzII4TWHAQBBG>F5 zzr8?eG}8Qd%;wPBv+p(cgltVshQhmkQATxqgJ}k`U=I}=L@{+s1P#n}5iZ?E)jImV zz(H^@S1Tc_AbmeuynsEzzy@KX+zFuhmX@b&;~qRj_!#dWa=T!$l_P+0Z$-EY)M!k` z*tV9>4Fxphzi6^=KT|Kv%l{&y5MUicp!iViTWo|6olmgt;ysVrv-z2vErnRtptNbn zdCsRp%&LSU_gU*-!~uZ|6M8iIyHKE-d^4x0p|L3)Zmi9#_9aHfzblQBI>KaRm6Dw2 z3=O@7wBjt3pGE4#n(rmqGf+sQZjt6h)~{*=00DS#GSz zVwZIlq){bya(Fi9^cwO z1tf=`lprjy0cn_Lz=dqS(&TRjufIhWdA`1*{@t)M zT0t|~mo4&o!l6w4Mvef8w|p}A!?Sbu)tELRg@`ziORGf(HH^>^u(Xp zYj@&;YCJcnQE~uoL3;R2cHWbod#N1np%P0K#b6?Igf?C4%GfhS^I_M}{TagDqN;(vZm-0Fe;AQHjtF`w6A9v&6`#xM( zKGB_ei>R)y?Lv3hx_c*|?(kGRrk6ZQi684>L(1WcdbA+@p`*K{VrTC8qiSQW(30AB z=z>8fA4CDV3V1dxP00?)9v}`>iuIE`eXH&j)E-{q9a>Qn&{AQHG#MdLmTsc|X!c}5 z>is3?T9n;EotuNwWwN=!ik|f>jPB_@Qtywsq(WPj1_nBVEAG!J@Jc`d19ilMj3+2b&f6mj?#1?(q1S@*0pvZI;wHF{S?GUYh|RgC^sG;;jn+(5 zco^=?;jV6NU9R`OU}E(2%4gd$%bVZO3pst}^*H`(V9?zZ02~R_I*)`t2T>Am!h9Jt zT_NyTM^G-k37iJHJ>M+NlVB(sx}Hs6I%@Bk5%`O|c|XmCz*CW07!|0Ix6SHi?wv;> zgG$x=k*aiNETlcorf*5kv;?<8VjbM##ca8spuhzOxA ziz~3xg9yTmP6<%+fxy@MZo|@1!q!A=u5qX0IT(%Vqr0^R{ zj@bFi;Y9<6Zb>lG=W9=04$u~Z$+GA+C%Ulg(HCuUD>LR*p47Xa8zO9pygpV=ZnNfd zl_{l^T5%-@m6EcOA6>+}A1!9j<#BL^#0A`tfpaI<`HPZ@TEO0b=*XP=bDxLD-4%}g z{%IsL zog;`kus@}uJdY@w<)%VmP&|aDlED>CXQowecql9xKb9k5L%uEpQ`R2Ocv)Qva@9Y7 zc4JD~E8q;bJ*z@-Afdg$8Qu1i6O%A7lT^^u zp)p?2MfbQbGPfeAz04E5Q#5M*xd4=U<{FMD-7j1+RmcMnXo9icdpyp^qyv}LuP0xX zwrFJ|@|z#|CZ(E;UJMqJwhoNSWg9z##Y8ZANxX;yj8BeR3fQwYbl+)z{ducbm)5RARZ< zAI~+MF;;U;GQIHjwGFOMAOc8gEvPmsNH_zV;0f}2h>9#CW#>lRGew(QLD&ocRaq*a zaDTJ!VWL5bA-aq?Ne(#mlJ=vZuK%uY8(oQ!3MXRZK{IK_D<(GN)j^ggph^!x6_lVu zkMnIKv7yL`jOe<_TFbSw9ghH4>xJ#KC2cG_dP0F@QE`bUq8_8+hXkYq4dA}VRg`~> zcHRy!{H%2r4I;wMQO?+G<1%U4qiBn(N&m0f?k9_1?xGO(_8zf2t`>iBJe$SkbbNKo zXQ}rk_e+uf`@_FaD4xmgw&e6U?(De?kJgpi(j5uKpE(?au5jglY#sIn0P7ce(Zq-{ zj=py5-EsQffnJrOt=Q)=a?RX!JnB=uj6=;JQ{+Ib>I+J>*&~@AM}iBD$_~bHOEaUB z?;wiLCGa1LvA|agvCeySxO4YJs+)QnQMWbBO=KwvX9>TAzB-hvy87r2Phh6xILEu% zS>E|-%P!A|CF{UJaj<{KVbcaJ?cJq}OO2*bU>f;za*~ zm%)RKhpg8rmd5F_ar^4R7&*ax|7CuI*ZWs*Ei|P_DKw<4)TqLiq8JpG0|@%~{|0+_oao zSdhAS%iZ&gO*|~4chfw$0*5V&;n#>LaO^-3-JJa}o0Gsnl5ts3-Hq2?s5KiAUgth} z;!-g3EgUc^B1AR_y#F~rf(xX41WQe%$4HM#&fhsd2e8PX2^FMykk;2y_9#qHxvT)O z`^ny+FhG|vf_)&nzpgJ+R1`sg+IKbX%e5rzYhVJZEiHbfR3=?&aa&A=KYdlNV39aD z(}PRj%pd2n7*G7n9x9(O@T~M1UA) zrVs0$!~*l>i|2zU#WT=k-ic z@M#{R)2HCK0>ITUYi!5FES}ey<0}$}=M{u}RNS%IPDjzedOL1@J5AXyn3z&(oNawD zvju(3?S6+k7t^=F@xI{@vlTtvGb`-D_aSwM{UUGg{stkA3SpfdsLXCzkrX*jDjn>= z(N$?|qG2Y)Z{Ae*D3iV+WfSA%Hx~nlC{Q9+NjwfSe7^Ki`Po;u{KpLzTuCbQg$nZ^ z8>%}tc>Ml&e|th5!m*9F5aLIIYJ3SBwXf+lat$>f;OO`9NJ>m@=am8b1s#uOgh7Ok`s|r54h*lUxf#bvS+Sh2AfcX!AP%ktHT82xt}Q<4 zaB8oQ^C~UI{_4(zjQvbTT7epCOHorXgcl#9f`)QsSt{YPlm|nt>$QtXTOhA9DyZp! zSZ1}(-#6=#!iqr=Gly4L9oy|o*RS7RKh$1m18{}vp6-VseK2qqJ6DY3WxA5XUDbhg zW>{%u@u&Q9GH2UT#ULHg?~b^DaF*0mgy7emTimgetYTw3?*#QDR5D^$IC<}X+kWzJ zHvp6ffmu!&D)o~n{svq)aH1{PZ}ozu5Q(J?^@U>*1Hr)oWUe2nkZ6XH%!pA#i3gwG zV%!U{fwaP-%N~lH#Pq^o1pw@#aXy2cGDXGAJ`r3){$c%~*!W5O>6i3Dh0=16ay@a| zbZ`9ao?s60qb)6^j6g)XB_zPF$LvJDKNrSrat;*(ME53$@%MUYFdiP+?a+7USuL6| zCup+D9vl;b9fn||8K~%d$;>TPkbU*E+yLwmIUzGEoGe+oj}0E3BsL$#D366s^WN<@ zni%knZW@g4Mqn_1O#Vb8=C8v6duT>Bw!n5&;4d|QUO*PS-Ju2&p#ZSGHqi67EKg#} zxte?CiQRJQ+*RY%8p|h_ZA3NZ+V6Z`&(KZS72{QkY769*w7#X4UF^q}ApuLyZGusF z@O#^zf-wB607$|}B%#!I-|zdzcsDC`@0qdd z+2K+DMqD8u=Ut4R`iJ1b9QVJWj60tI7zHfVkY1~&;NFErD`(>=uUecHGm|`2`Do`|hb91~!_ZzUs^wi-WIi{D~$KY0T-xB*bJ&IG6lV-xB?W36M<4tRhArNrY#@LUqzJ0Og3 zD-R)C^d=8>ZOTf8b^#*yyW{iG?cg63zBob3cErv*ci*>ABv(`*c1i=tFk;hyOJp5} zE{VX}=6W{wH#jtp(dEMOEhJEt<6NO@BwWFD@4#x;*2cU13y>_?Tmbf3ELiX=qSz=i zQAYOcbI0%k8yes82Y_N4hR5aI^@$B+TwsbEDG%uLd)L=TCD=}SfO}cU!>LFI5@iZI zJb`x&f)!^9Vcm&1pZgTeWggxe_jpAly(a>8Eaq0^1GJu)=H-L!o*qcrSs^IrG7U76Zp0slW^zGw_D879p^2wAg&()FNxJgW&w_z9qsz#UYA&!()`O@DRQ zNNKBJWN8HO8-$3s@k}GUO;C@}=vt4|23wIppauytP+>l&?qpc?9CC z_XAHv89eHqR()wf)Vx{;3EX(p_IBg^KJ^l&1P?0w5CfL1$fn<%Z=IYg#wjZ_H&c(5 zjpd_{BF5V{Xh?C~k^L*6M|+>{PDWE!c*i&QJ!YWN26{&BYhIu71qKFc8SD9G;LgWa zzy8tI_b@Z%=^bU=vV3_PY$>nxhM|O>%Q@SvIlPaxG-HJ{Q9~ug&>22jN2AC{VbWKx zl8WdZR8^NLg%mcTc@n9_0}vJYCK~3bTF`mGkw$HVJ}CwB2Q42PXI|| zcZ@Ht?(GF5;L3>EWMEO`1Jv5m#JRyDD6E!8kthaqS@vyeE&$(xF|Pre0Gjs=>=XkV zh^-E~oyuJpk!p*7nI9Z)WFK=>F({DnV??X z=l4d){?u`!^0VEgxz{5V5f*Zl3DpmsdHQ$Gy_Y;3ofIRelrSOUJ)g8zuxyBNP2cOAENn^UL zJv>Npty#jpe*XMp*XdYLqIbH=W@TkIhO3XKk4tLWDrmWGHQm9G%I$Qc-?Z^4-sP7c zI0E`5wtP;aa9Cx3W+p{X;CIXo23W=BC)KN0ON=ZJc-+q|pZ-FMd(2bJ^t-t=OWNAa z&S*x>1CI%EEqP6ETLZq9o^G(nTdGbo5>k}nOZup4SFMiGF4BH$7T<)1@?gC&>RL)l zDj}O?s(h5ouzYMovtlhXNVWVdsweXNHKDz_i-@KetZRK()0`-!t8eoOUYDHQ!5ukl z5hjZ0J5qU1d5TTG%4ycQkG=KCNs3(`UI}WV=075A9~lbcAJ()emn5dA(rMK^E~|Lr z)hOwsj(xn5_ay2-I`b%Bo`3e4C^r)I(@p#Jv#zToVU0v{W6f&kczWFZ=qu+<#&U}h zx%*bdDwhpC&X-<&Wm@YwzFvKu^oerLyT&YNLG{0N>aHio&YXsl$qd{lY6UFZPO6Bi z*G0SB?jEgY9MQp)D=wjZ?m>9`(tUF-x<>ge$W>0x#*+m37fxz}&LlqRuz&lSX;)AMif z>FP|M^~DupqM^#K(d9gttkSKlk3Nh*RdcG>SIz9oMn1Q(oqto1Ugxg!2``;JYuIL& z)bU*(7Z;iI*fih!zCaf?+ZtTf!)<&PyDR;=i1%zyk>tecPB=#bLS((t&Ne2pz1X31 z*$%52n_i~@O}A$Q6!MBMG&E$oMW_y&T3G`WuCk(LT#f&&1inTZO&`DTTx3jwYd^8G(PG1j zib2!wySJU;nl^{agT%I?`@{X4ZK3k~rmG2;k>?a+A!8CAW$wK}Aps-5_8fBBV&D;K z3>tglG{GioP6jSBY>UjiEG^tLJHaz9Y39<06CTe{XlIT>VwmA zLk~$MTBBw%H(P6yChFrSl-ew4m&=j4Wk$;(k-yqpEt2a`wp}iZ?7eh!{SDTBpI&rM zCZ>9wj=oAJsWZUi_%K*ErjdMC^Rxk?`T}QI*P=f2)~anW<^r2|K_Tp}de;3g1MiAQ zu^Aa|)gSotX0p)pr4+oHokcb4Rq!i!%G4B5zVN9#xihetf0bM28?89zzgF2~-|=;X zjjdw9VkkmC+-F02+~XgqASx%S!&`3RER*FnG8q&(Vc7>CPM&5G^h$G%JsVc9UP;EL z^J8);u_>c?Ej;D0J@8XM=J(mf@8@Sf`2u*k3_kao%ykZqGG-@if8Ti8%A5rb<%~<} z%r&s)!f-pCtJ8g*UJfy8@bQ2Xk0k4VpTN8aJ*tP*uxODyUGJ7)2tIZj3mdsfBOcI_=^L#5Y6 zTT5N~xwd;y5BZu%39KEzp`3F3i1KSs{YPrDgYyravqe&Wfkn##CmCmyR>w=b%ZOt| zNrtAO28BjM%k^=K1yEh?e=%0M9wI;FEDTVi&wTE770(xcN{sc(rRk`6vy!%JCx5EE zUqk{=u@f8p+qW`FL!S(ns|Km&ZQkDx4O6pKfjX?3&kkQ23N?6e4@~ z^b^xx*73O-7F-<Ugyqq{d*wD&16nc1;XffpLlTe8nb9Qm73;Xl8GP6MlP?b$j z)LGb@`hyhX3LOj>ifR+L#_OaC>yQ0f=h(YT;Q5Lgd4e>fMpoH+Jpi<>aN$trelhoa z0?xj?>_R6NAu4#^CS=JU)!*NRS38$$E<&7P`^m<9_YDj2Gd4_rz_LrL(TE zhjADlSb-1?=lOJpGS{AK+DaEUcc(5=h?wC0t7A?64=6oyeWC}9|n6E{8YL<46${V*$)E7n&>a}>q%$0wq)Yxmhy_)TpfoY zK&$eS^Fx+SApDJ~*gG{MBv%(YN`s>o`Z?>J+^G@)Bt)*FgAuF8!-1!os!wg~cU~tM zX1bkGFS8^!tctx-lZrMd6 zsN*nhcgl8octo?KI_Y3`DM4I!p1tB0N8iL4?!c(&lwL9@rh2_k-nBztDYleQCmS+- z6llLQ{mi6qHYzn__EL_C<(j0X=_Lz}+}n?ePWrd2C@Rf!RCgK*I{VV!$5AL$@^Z>J zXrB9~yItiK+P1J=j$|}ZsZ}CbeijXpk7X0RA0%I~Gnsk~Yy?E1`o zhs_Bp;`P!Nns*(jZ->xmRwxImnyBy`nqC}kx+{#E#?Kf8oN&I8CmRVEJDKv{tSuls zJW(Z9nq?vJ3kevw9J`h#K|OdRCddux{EG!Z%0&kYTHM4iGA#A{Gu{60#hOyqZSTfp zc5rw*P2Ub#W6q8nD# z!f$uH*B8v?CX;Kv=MV-yNslW1EN}jk+VsmH+{E>qfWC6fErhQ3;Ncd+s6Pl!F9h=t z`$;>n-+gq}mZ}@v@vaWI1}aBO)z#amNbiFLX)v$|xd`p;cE$^S!sF3>s^bR~cKB@) z>#v=>W-s-U*|)}xPYWceMej(6@(%V0o|wU^kNQcZWM>01epZbyYiL-wVRDB@(L%u_-Vh%>P>dI#}| zUG2xgZEJ)u)(c-3Y-o}Uxwp2pY|MW1C{x3h8NmCgN#7&auuUki>i&sBfguDx9f&jA z`Vs?eg!t8)H}0Db457fp@1z^<5Q+RiwM(gOjtW!dkhk_~Hi7Tw;4_RJiz%4O3uQ0U zi&I@|)&CYF%Nv#w@6TT<7>cr~AN}2u`wo77Y_QqDpC|8AI{Br*51nwzi0@la&R#SIa@hr1B=>&xo;!%8b7%6>>|V{J7t1Ubm#5D2EQb_twr5^N}4nJYYX_TOAr<%;qcIS}dxLn-xm+Q8P0Z z%X>Eh1*UuB`n+JnSx7ZsrBa$@g<;ei-avJ%_0fK(PoaxE$kt#g(q!U*^zzEVaIH+C z2ffBjYp%f9KO~^IETS^}P=v}amhni%?K;eke1kbm@dLG}b6uW=!y)%3t6P;>#9&lD z;)=$7SICp~riFu(WnZV(h5!TRWR#F{1wY0T(Lp5PJ)&$Z{ zbTC$#s3EEHvT}=wJegxVu6R+?p?8S&15WWk-a-1A+1>*&nJCh7(*ZdNJTl{E&-&^l zLkhAnsVqxl-(aX}j&{kRjX^C1`C9Ku3p2QGo^M`2xX(==U0>2BbH%ffZlN6+#bvUR5-N2)E1 zU4?HU32L~kDJ)|X_y-J!?5bNSOZo`(NSY*hiyV#|2C@VHih5Ti?1B(K9C5igJq-5Em*)NXdY2W?gfs4+F&` zT961?aGI#sXIaKliZZ9N*qzwy9%6NFZ|PLp4@h_GRqPrrbP*O)T?!}Vk=if2A zbZK;mt#tgN57*8%N}4XvmklCvF6J&XFA(bRTRti$M@*}B2-B#AC{2DW08FOqbE4+8~m%*(&f_nUClqpN|2WQ_N!Bb z(3Fe65|)>WSE>}F$YdV|%)XH@s_=!c;nQ1Lpgcg7#$+C)hVHYdGZPU@2h~b6uP$2M zp@k-lx0m8ipb2=L9S(ciR4e2ZS}~c&$4x>6=sAUvd*LbX5;Z~N0e6o#=86M$nAl4S zAefneVuk3E5Z2&Smd51=ga#22v6abO=G~X)3eKt>5TGBmL+&drtBQ-bu5LCj&9)K^ zrC%EmF?2A?^f9lN`S=DBv&k+R3M4FiYB{_~TT$mzrcB{#VPK8&M`jl6$f!U5&aUfooi7W#&{wdG#%9f+)Ajoh&3JUDMIGvqu@7wpDWtVS zs)>2WiB)}r3K6>MD(9m;Kab=IZ}YwPv`%> z%m5R4ym0UI!X5tlYwo+mxllGr5&IemKs0bh`O{4&^w;C>N1AO3G0(Vg&_+9p^8+^Z zE$k(g7C(2bLz>dgQ$@^A)_8H-#89@k)T@vRCk*iL@ccTisLq+H_1?Zy$s1BcXs^3m}pQalX zJ^zh@oqX}K_6r|;HVSH7I$}d>*ek2 z>X8i??HOJiUhxkIk+&92F|&vLw%*SvoAau2>g2VA%zk=zS!R+?YTSddIlR!#Ze1P6 zeONYXT@{xT6`u6{L5A_c`9-9%AvL#9DCX|nGTlwdh)b|dMMiV)FxV`nA~jvHOY9y0 z*a{o+{4P#|T<;jon9-(%a`N2uc%g7QzixP-F_b%K+&c>6jG6`jR9uXHdH`*Zq_5q3MgJ25p&<(Vz6O@#(+& z8rLl;$(R;=GuQGqifwA*gv0k#<>h&UIh`fV)vKr?@i}s*@x~JFgz(6JKU&;$!qn_b z70Q0}>-er7s+Tn

>sdB!;d0Od$oIWWr)LA%6Pv_)Wv(^{11CuUqA_F#^#uQwQ5V zgl?hN#8#Tftix|12^UP^LPx5al5ux)LTy#;#hd!&p zNJ$%Jb~FF{|IgvgNf|c>Q~!ICvuD=-I6FG!rq9s7?<4vCkH$nVHg2Ba-w*ts3xGqs z|KEuiT)q7d$$~MS&7A|+XV{Lza|v|}oIn0%W}y@Z$q#XyJz~fWKD$2gOk#$hsIj~m z0mnNdC6Vtbqj}oiCIja=<7M#_U?-XIMKi-pQIR02Cp@V0N)hoe#W8iHV4DAjZ;&^z z#{c&XW`pkN>h0T>Y74QqazYpw05|&g=^%A7ix07GRzEBM@`5=PUYcIac&>>_46UgKb)?r7Y{OGKi&C5s*Hr5^QFsn>+j z#n8~bs+APHtBf{~#m*lPe=o&31Bdz6$Id0^TRGl{hZ%CTxMi6qDk)j8NsrWqRe+mh zLgaQZ0Gxep#%FI%=`E0?a|Ss7D2!teJ}0*xGesc#wxETPJa|GDQ#7;JUK zMz(&CgNDPXtwMqs`Bq0!M^Vi$%c>E^^yFT%x%VFRhdg9s0VK1ay++Dy#98+9-``;U z(`4cBqSh+v>i5R#WHp>ae`k&?CKRp4%s$G@J`?=A)r(W5E*T%bIFM+;C8aKDAyf-g z7QykKIh0NF6kf5P($HyCy?tHbqsYYe!8nO!iescnj_Hp!`s`#lYAtbna2GmNBJ$QF znY07+V=8^EXY<|vsV>3x;x)H^J4E!81n9J!|JwUd>(m73KDC=R5(K60lSN`4PId_u z=2O|o6IkH#qI+xFInjS6PAcMp@ymF6KhYTO4WBHxf$7DDZV7fU+AB)G3v6`7z01@agU#ASn8El>5apg(P}_Pgr*`9?`*9f zG!B-Dy*%X~TZ1-wevcs5>D^5SAp=MY=*12OgqI&Wp5CT${SLo!3vyH+ABwigJls-@ zS(9puXyBzPJ>62orB^zkKW--I$I1*^gXndlouvPC6Ah#q7T`G6zM=5+3xpI6bNxGg zi?it+HoKz-(5Y(WtDm<;LbV;f&^!W)iQ&IPT}m_iUL4w9Lr0~ijBtc1F|zYli1_7CQ+;r+du zl^+_D^f>j#34I;}inhpYp(|Q32bKqVC^VGgm9v1BF9(Fj`>;!#W< z{))#2G1`03e->#z8pP`0sw{t*Os?-Y+tk6D>3+HHIr{RdzE}n+jD)pjJ2?%<;e>hE zel>Yq)M!OrH9HLl3!5-P=E5!%w2kxPJNa)q)Svs^k3Q}?rfFsWd0 zG3F&C97h)wleSwnuUN{kOmcuEwNKVH4(5osNyZ=JPW|sq44X!Ioqvt=9X9m5w$<99 zk6{joO16(w@t=gMdsm-S?CNL1M?d3Gy?fW4JmE-Ysv|z&ahn<09i>iL)bF9uv_ze9 zJsyxt*&DVNM)_AcaOk>c%wACns8*UwCm$z~lCb7(Co6R(zf0}!uBix(aeyyl;|T`l zzW0y#Owksdk*(FA>B*r;q}xEh;}Ba=v*kdm37S;|-@nm1DwXx${f*s}u)?~YelJ#F zB8(->Sjmn41Zau!pd|b$e!o}h-$ifBKrDJQzNX1?Y|rHBltRo$Pdyy{r`l>QVvw4A zD7&F!GU!?irZ@dv)aeyP>xZ`}t{Pm(E_T)=QCHm6#9fNWNS@p`9kjCKSyl{9I)!m3 zpBMXQJCfswVTIK=#-vRa>L8Y}uF8MNU48HFKji#TtbZB{b-p;fHkt~Cb31BTNb8Cu ze@p$|-cF>AYvNPN`Lb1-y23iEKWmG5I6}&o%4#i_Y>2fB^VR7x!+7o;mxNZ0A=%Yq zBLUEk8EF{zrXf*&lK)LNN~9#`TD}HykMQJ>2Bmx`Y>ehHWjHA=`)YC;woeV`%M87h znZ?_rHK|$i?HUA%#a#YN)T7H;=^La?;aF6&Ps4F{yEGjkdq)KEBL&Gswb>khCVJDc zCClnRo*tb$+U#TK8#gX z!vmCbt{NRCtM$De?4x5=P6F9%VG1v~&m?L3PMne|BW*rwi?)^xSCi@q7gZ~(7qdje zr(21xD0k)NmPhn2C5PI(xJz9@I~Y!r8xCaq^sgT5=-D^9*wi#S4S|*E?lU|%sSCxV zCMfw5sxzIwNV^SDYoYYZA17emIuhWI>Tbr54H|o{t-L`JQv4Z~+`3NKdCaa;=9hr;D|T zY?1NfC*%0%r}ejQf9+YJrB|@VqUZ?MD48VkFC{PzB)k40iPfS++7bRKU57ULb{e>O z%B!@{&$uyfTiUorD$ld4SF3GqgnJn8h7ZdjE$@?n@&-drvo%CDqS!eXedSy)_HA}; zp=n_MwKCo#fmrrq7pk?WmoTLk( zT>``-k`&Y}$3MSaxk&cCGkwmF1Ps;8MRSX;n_!AZ^*2EmI4atvd8wB=LUf zq@&)fgm9WHhwbiyCOCU!Ht<4buMGN)kpiQMmndBmgOrEYE&N#5%+T#)X5=r-x4pYV zsWXxUGI(FW*12u@L4z$L&|u5|sVp#@A{oXTkhrvsTQINl3e#~5eX zMGYX#&`|A-cEbg_(D`H|(2tm)=7y)`Lr2-=;i_!hDQ@DhbFWYJx3T1zu*h1XGi2FI zDH~fE(NG@Mm^FHeH))i0e|w2b_H3F^JE?^gxq7*?Kv?as0U!Hx^)8}&+BBM8#9)B7 z-WzoLQa50P@CcYgGP?0ZzW}mx^4-{n9MaZhNMOKUNz#4Wuc=gq7TP1tvtNMTqWbAp zj6qV?{09T+t@H!i?_hq?!8dl7;;&?LS{w9hmfb0*nm{87zn7{7$uNFS)*SuTls?e7 zlhq{W08DOv{Esnx_E+%`a1Eh}W>7Ve$D|v~&{466cK2V)UBKSI116V~>E^*U?)()u z;R4FN76oAGi2QTINgFV+@Ubq(SYv`flg>D$8>-p;s|jLtB2N_u&4{XT!Cmj%w3N;I z_pZZ8VrYUbPE0Gw_CQ5Fi_R~24JIV1_xGv5izItSS%lfg|6l+1oC)!_|Hl74s-;c* z<2ixPJWlTx*i^v2WFfQ0bUxovi-Pv_Y3ERV!;SlQ*_E9cl@X|E^(Hedu>lE9q~a zLUC#RGox?CG%k90Ycivu=yx(gnb8Cc_E>9$uykq3nLw*4OM*Xs9o1jQ!o<@lYptDD z(wE8W7K+y`+_#B=p1g7fdUueS&De3h^EXUoLEkU};Xg~|`tA`%fUW6S* zLe}6%p%x=$lSP!aBSwotVCXrJkoOcfx{&Z+J+n`mPA{$H8|cdzC4BEnEG@jnf=glBxkxI54ijG?SQ-6?zBs9+Z|&pH_Y;WN)A zP1m@Z0z`8!OK}$Ql?p&HVP*4#%7U5~QhB+ZVj!meXUw16Sn97B9N7fSxMD73wwpeR52K#D8x_*sNsIdY?^J{N20T6d*na z?1tZ{zDRBlat+r3%482Zv*%WyPUxzDk>_(Bce6+qpT(tenh_8 z3AZ1ch~|*F=8s_!mVmMA6S&8VH2xFX~Ao0n5c*6RI%G@;x(is0uai`S8mVb+7dT0>QzqZmrh{f zEV+H2GYDgX-2E#Z*tmXP$&v{S!1?*<92!u7MLN&s?L zcsE(n`EmQh5k+A&DaXD9-dJ82`{wuFfq`i0nVF?&kI-poXvAbQ#J}~emX=XaP;8!k zBLU2+$!0tVa;ipc!GxkxQe)wjbE9BOFYQ#JW`hPp-9<@)V z>jmq+HBlM?gW=mJs@K@BCx($5Pa|Uxs;6t)-w-h57vcCH^D8+y@3IH^F?UJHVm-Y^XEnP zQN5}c&NdH!cQI`4pYGFDqTIeEk-#kIc7DVgtKMQ|v|ge=+2GNTPRGV3&%$@|h9cfJ zR7XeWooNn-**FAbv1A+EFKw5(?casxY6SZkV$$ zHXX@{=;b>%YiVoiTDJb813D~A6c-nZN=S_GI?NGPFf_~+c6WED4qAY#PPU3OA$gjV zPQgXR#fLp_A^*%!nW?fdOs5tF+@Hr~vto4Wj|F)2LAk^Bv@)G)ggnUwApFB$vQo;Eagv!Dt_vttGv*R8%z|_D$~skUKV_w| z-+G}=7VG*L^u?rN(I|X2U=k4%lT}fPMb&UN9uMyr%8(fPjYU%iNY`Kd0X*~kTQ9&? zyP}G#v_O}xKg2efskTc-5;8H#iDflT>5YGFI-eeuV?31Mb6F$qbPg4psym)e1qxuj zr{P-t;m}Zd#fimiir~XX#O!%09u%1*7pd*ukMMu(pZ>D1A(?G6uiOk#RMU>ZZC$se zrlXU%i%tM(@_t0)+8xWu_w9(wu$SPn)*ebZ(6(;7krF^Z2()(&P&6u)=J8iY(>9Uk zLABf5hZ`eZzm>iPyG;T5%+(!7PG!P`f*zRCaA9B^JMaza7K2ABTD9x&yj8tb(xrzZ zv^Gg|c`OQM4?1iLv}KgEaRZ5EG3XrzY*nt?hAt)}-%-xCwUL{9aGV>of1{;xIt@yx zUcP*L$xzQp>;4jpjHk?eruwIwo`HeMQ5+Xwc&Bm4Y!Q>3!NEZUi;yH-k_>V}xGy+| zHxDvnnRgV7(v3aGBT`2{V#%W_;?nrSFo(OROGc#;@j4rw6lnwEL>+BSq*`I{8C7Y9 zl=h82;+WQQ$^)YaPP$HPQ73Pnh*%bt8vFcoI+=@%yjbq%`no*niHbr(-h3Ck0zKy! z`~7glT!GcIUHF2%k@Aos@1Xd|xh__jKzHK1l`ds3g$Q)2Od5QE)oi?o`ts6b$rXf9 zFKC%9nij547$%mNA#|-Qxm2V!PW5s9Ije3fS{HoI^|IW4 zdpaAj0At%Tz)FYrtv=*s$Q;TBOurFdIfss7zg>N94(3l;2JI+jL=&*Gvf3EV4g>P~ z2HjuBHY4VCFn9~JaZ0A()>UdI!$rxUuWUz=r?fG6zn}Mb*3{VL zy6(8_WXj_3xZ#?&%p;r9ax7bxq9=y8rgNuMERuGB`0k^UvI)5T;rfuULojYCSahN3 z%(9*{Ts;G~r{SU!3E}ze zi^pb?mRnFiX??wVbyQiTm-3mWc^i|w+ilEXIho*=6cDZU;n@&e48J_cq zd}IZJ9>WqG#)w5|{Djik)%6grNnMS;WnY8GVV-A&!Sh%&DZ4#Sx%8mBw9jO$Ks|X$ z?Mx|3O%+h5`e@RWM*LOIx-Jq@ktlSK^uUG@=hq=i=VQZLo}E;e?n;Zmck1s?7NBv3 zivzn_w9wQvIp?_aNS)nM3#`7r{`$7d_JBVYO?YBr;m@Bxi}pfi%%g_Z<$Q)Dhjc@D z?Z+81NDdoFg~FqvGHpDrUBs-yNO{k@S+MvT`c`^|=qjgmjKxGm2F3!OcP#B0t#rpc z(R~tx&oQd*Fqh9}I@-Rv-vNGDB__<+tJLU$-sR=herIHMitt{*>H78el^%0`!)amTch=B81UG zho#BmuYy!Lj+lgY1`g7XC+9~~79X1bOlJUX9!2!FnvWor%($ z&qRL{kdyzxG?ntaRMGk2try|`uK7cHQc#$_&Lm{v-oH1 zqL^7&=#ZBN cYBw!qy6;l>ty9-T+yNTBXdyc4HjYU_qAAm1MB@37by8?ddaU#&{ zPACbisv3P1nbxy=cMe7rHH};Ru}r2a@_}hhPvCX_zgqjss4BazT~q`WlujvW1yMpe zL`qsf>24`SLV7C(4bmuG(#@t}i_!>4Hz-KA)TYnezR&l5=NaekS%WbIyt!ko8P|2q zx$l*&7|WGv!|(S^ZT)~uUYVXghyBL0&;(IH@s__329bq!x6GgNj(IA-*qwI_xJxcNQJ&(D$j;^l3uSE@gz8CSp zBk4;Bz=$vjeZ6|$&|A>SvPs8D!Ls~dIj<-RV6USDODo?U2_upuA6-1up+b>z0wuR2 zLthoVZgSTH0Ay5RB5j5JzQbfkqF5y(L^N6v*YfWJx8$c0XZ0AOfwUP^FsN}>gZwrK z+4YeTxRbiNdM16==P=cP2=mXSGLKli#FK&f@6N|RlMQZ-7L!nzF1pphI{PquRzQ7? zCa5$l@#SU;CU!%fxnqjYM2Y{N_{(RN#9UYVaSWfFqgwzRw3Kt11n$RRotxvPG*IAA z5{L$esx4XNB)*%b$+jzh^VsNe4Ve6_o`**b4-e1RF%1n3rtXpO@bFX#iR0qE^+~<; zSEZZ)6^#%_$_O8{Nr5ghcj8VnhiTWeGdlh!G1wHW1@6nhr26Uzs%}) zhxEpPW@IM=jwPxb2WwwPo%vW48q!j4#&C|SYcdf205SoYy~V!=acmZbF-wy-W{{r% z%lX+S1B+{qWaAJMtM6-d>dTOyV@2ru9Lz{((1~`4ycK_%E!vbRN7!?Xkxk(9x zP-hlS)+}NCVjxEYY4Yv;twda;qZhPpq_QZ+M0qOdM&+)yLte`(YS3Le9r~Q^Sg4dJ z{AAjD-+=uFtB{ZmuzI4(F3b@mY%#S(RJ@jpvtbfLkf6TOP0wygD}{FS^kB}8A!S3O zyMN`7C%`jxyOP92X6&<)JZ!Y#-DENAl)SR>{Pwv!6laabj{uzacNW#9!TBEB2Afg7 ze~(W^JaoD%FwGA9Y(~7^u&6=5m?7VL@xzVOrr?LH%AYb|as3+V?%XWA$pIlKER??J zV0*!j*c9e?to$iSMZwcghrj&jcK`y&_Vw8_SIvw?uZqAF-)sSJ*km<_HZI5~I0hv70~ z4f_Zrjvr-ir|^gNj3I6Bx&Qh7g2YszmGsZ{HZ1S6Cp9SKl63+{a#wtos>BH&>9^;? zi7{~+Pl0Wd7a6Wcho2(V!yz#m20pL`32^}(+LR)#p8waLh5I3E4RH-FEURz zfUtqjy|<5ykI(a?^T?ifJ^5<~g`O#XJpvd9^QuHgMDq8<>-_gur%@Y7?dx7e5LjzkOv~ z4%~#CQ`>kcuXVOJJxn||*rIa>u~C;!-*6_r8b?k_x|sRGGU?`qyS&WhYj1F__H_wN z=W`jgjMOsJ|OY#1fjzo3M1>EUtUK%cKGwX*O{+}44f30^~woI zCWpQkF?W9gKSW1F5LcYAC3_J&lE=ZN>d}3Q5Da4W%FFq@xe*QIi0zO*3eF#`^avVP zZ_vN$fytW`QOK>p!hqyw0n*4~h`{u~6D^|xP`~^pr_$vJSXf!#Bd1@Uo#>)`yhpTi zK_ED6)qD1I>E-ki#$S@@J=i(vA^_uLCHvG&FvoloS}X7W+G65^GBWZxuxMK2<>4u} z>Y-EAgNb#X|7fL&7KG5tqpV@p65LC%y|7Zh)E`}9r(>OOFxL16cW(P2Dj^~N<&=+J z5b8jd-W#2Ix_f$L(j!5MFPjjJnI;l86?{dWnuGaxDek=HX|MFH*;c(hDoA>e$F&aK zVo1XU6IBd=g=3Bx%u=NXYP>SR(|P`h41{AQa(a20_WNMFp#A~V?fd!;Z?_|_XnEP> zo3rED>EX{e1dQYvQJQ+K3ypqsfr7O?aolF*JGC1aW6`Z}erlah_p~J{ea$+Fi2K+NvHkE8i(I)#rBCR5ZRV* zCXSY*1H1xh5;TIHJ&}#KU0=%%Tj_73JnIcl=ECK^;v^GHAW-iK=nF?iMjjb$(D2H7 z?ydF$w|g*NpkJ-Nw6ru=$YG!f%g*Nn@3&=UZnG?F-`M965D=KjzaLFTL6K#Z>@KS+ zdSG5n=E$Nj#4PT%nL^H`pAC*`Gw(;gT(UJg2y^JKQ8m=E^${e~z17L8e^$=?`S@`BnaAo@Yo|eOHRCluDMa1O6$?vC-7%}^vbTM(UYC#l90hU| zUJ9Y$cmZP4ayPdbDG3P)HLmy;diE16V-t&KGCUO!EVl9u3{!@D@`=yA)S?z-<9Cz$ zC9U+s4cH8c?#f_)@_G$Nxq+)|1qMvDh;80~*OT=YA{{Qh zSISU3>8o=fP5}rD~h0 zMX5Ocn&6venr#_w5~ss@fQ3>2v*2p^DI4)Q{bWgs2R7L7{#S z#hr>eLsD|`_qzwybWmXm#pZ=B##`ktHw@RN>h(Zcy>c>M?^(IGF-^~X1Eij1j9F~Y zcYSj>GHwYjHdfx4s&|3);t&@X=gW2yPWq#X1ikl;8Zs%!gp!)u z%T3!e<9943EM9a4S01eQ-2W!70-BUV{Tw;)qqn}AAQxKoBoS4j{&aBMzRVo~V$<%~ z+N7uUoc-Q#LD+jFrM}FW_c4Ot2q0SHR@Yk?yz9t837WEvxY4W|Z zQ_95!$@zsmf9qgX6%m27u&}tn!OH!%6R5{Nt{cH`vzJcHhM02GAZb?=Z8@`7Xg? zgv4jn4JHH`SlH9EN#oQGeTU#;`Q!Ha3r)?b_5lGmj0u{+}+}heYo0FCF zz}cCvT=(|lTVw+^_jWwQ0I~WdvwI!r>+0reSNGFHWgxm>L;T6egLcyrc84c?MkaWy zEVhV44N82RSQld@rC?K0MlmtkQC`cop)`d-EiS`4c3Y8*;^ux0Rq>@i7bURXzI%5A zkXpq>S4YPZqkU{=2bsi}Pl4HpX6>}}^l(v|$CZ^TrTr_r+6{J8;+!1cf|vSF0_8^R zV3RPul*3gWPTjhZ*}cX_%4C4I?K1|@CLCw<2avXS=Ja(A zn@Fm*yG3YAG*Woyqaq@Fo0_CYw}vN(pSdH&`R(OPm)v z$T;*PE+xoEyln=}VGMQrr_jQemc?R%a^(At-2Go+-Yld$}HP` zdDm6*T>KO=A3Qc^{;c%Tm$tbXo%{xOYoe^@Fq**(sk^m1Y&0v^8Ph&5Q{1xf3~>~n zZx0Gu>%lKo`9)*AU44v(jQ{&7Qn#t8sV!9NP&8T0Q*-Duyrn?+tj^76O}Fl3NYBk< zFt_`ssqUxFlXo8YuuD7)j~NJ6t;fFSt@)@&Kgrx|HwPcMOC1uppblo((;4Y~b8>7f z5Uj){55djN-PYah`qcK>GdUfdkBZ{}G)$oTWQzgwT+CzY#pAMgvc^EpiW$y8+sH%V$(SV*ebDVLaw+aOV?yg!gh!= zZ0kXyir>)&YI?;RTQ7T|V-f@*K>=ws=|0+*Fd4#D;G+5V-xqrW7s#;B;gNHG37s*` zH>{`L#=COYv~=aCcr2OA+^6D=zi(pA z-OTPCoK5u3B&-sCxlTi;SKc2iIDmdx~8!+ii;bT z&^*t6`=Su*i+$zf{FYT3`=M9;sGY2aMr8h^n0&L2wDj9yr}zJ}@-=3l8L;aYV?i3) zj-yN|7uz*>IXQ>y@K?$D))vm>xYWlIyT@zQZTvls+h9El%+tq^PC-FIe@sz9aSK49 z@Tt+$m5jPNQ55n0w6ru)@!<6Gik)))eYTbt>k~pc64$R^FF|j$iZz@D-D&uM^ajyG zd^ij1u4&Vyd}>5{Vj5*KMSeC_Yck$q0w$(t$q-QI61%1_DG5S zuV??k$epDTv992Eumcq#_$eiyHQ|m&ee0|D>hikjy_f0@H+B!x*i9FIq@tnpW-xXJ zu*a3-CeC6$y41asJod!3v$M0rXHppJOi!pq$HPNdHk4**_@K5X@q>h_ta}9Lz>B_+vI}JnB5l{RPq0 z!bhR!h%h6(7N`v~8=GhTt&Q9{FcZb7i2%u63Q$+EV# z95~b=Z9P3NsjMUkQwD8P2W^Px=t374t?No$IOfmBQK`AP9dilm0i=zT^s3{=2Ojj% zz67ZQ!}Eb++6#pR1y^+oD)bic=P+RdMs+;584d)1SEhE7gxJ}GHvVagyr(IoX6K@2 z*-FjE#?0-P>6%#hsINlRsl;VPQ!akcrg@{YV-r2oEa-DwmCw@!MgO3-wuh+h>A|@6 zFRw4uI@gt1zO%`Eg_vDlg-SAd{UvH;H}1Zu(#&@|{&WB`_ZRqucF%IFj@!NwbXG)0 zFkg;fZZy7&i6UoPU-7UQ6oYf}@|@%yt_-0UcRh46wT(88cBev1-aaqH+N@rSz7xTG z(?QMo_pwjXhW;{;!)a^j%pGEp$yT1yE~UW zH-G%q%%lCz2#Z(U@5~$=94d<_loTvf*dQCo(Yt3TZhXvo^{Gtq+?4PV1b{E4bDig$ zS%tA)Y34NtQ{_a3Gh$&;O2|t~KIX0KzN|({L`xf@Gkw;;d9y`qi;0q5T{PNZQ*I zP6o@ifMt8k&Y%2Lb8_OP^IE)tl_-CC58J5MOm zTdbP=iSEXCaoIP_Fo*?|U_W4AxblkbnN{JS4fpe(_x0;N1~X4)Bu-yLXmedj_`ePR zT@wR=g=$Zt$b!rCG6+)b3bqOnzg_MaAk3|-I?3PA`=D>c+|hfVE*DlqH<+A3nSq8PU$jgx3di69F6`#7^xA`6m()OA_9N3g@WD(pi$|5^~13*|bsX ziXO|P_ppK3au1}G@Q)t@0N@FYL0-ES+5Yy=pBJ%aFt|ZrqciApwiqPj(e0hD5i_Q>@57Qk;O*kWmE!RVn z_mSKTz-Sm5|CmGFth8cg#x$~wlsrdyzmGI^6f zBj@12#Yf$xT>Y6^)UDVqp8AOVfr71UeAoMzaEWKr;xOgJw{PG6z?{>{owrUXqsBdI zy}v%0ot?c&ZC0YqIkL54#BuulAT`Q3Buw2UeX{oDH=r4NwKX-=xCC@NZW7(1Pj*f~ z@FyKtW+edud||uJ+p&=SNzddOOU!ONTk=oHm+0N@#F098Uh><9!3#;A-CNrYf{@^y zS4=Tk;~gN0IDuzL`Sqox#E?&Q9K(-P)QGOp2r}3j?G9+1Thfq}e4SrVUOq5)79wl* zDA{-!Qyw-Q$X4UBA1*R#y{-~~)$LQ^Kx^neM|O<-b~?5e81$0d1RwEkzX$ zySi)5A3aS8etaZ_4gf}xO0Wfxluv}886|K`Yf&zgmhv<^in}b6x^7H`R8;VnmzSsH z z!y{fRMu4W71$A}$734`pghACh{%P5i9EYPdE`hD6z3t@LXf4CWvK}!%TzZd7A4%9| zk~}wL6crVV@~>MdC3D%9X>+2tczcW&x)TGvc|Iz+&9g}~(w}bPj`jdGnc)!t$D589 z)rrw}+?tW8(|F7*Vg(zap7tyc7He|`4m)S5=MYj*u-PII!(2M?-uV+8njA|(P8OD~ z75QsWe!#dwsW_P5@i7JJzMkH7PVyk879POit=!&@KuZ>fn%CeZ^X%sH^Yf-qKM+Km z)}?pZAWcE4%FfMw06kzWR^~rCvyq)3p?W<3o zJPGCBzs1c<<|`~fA|FxgHOg~rJ<1ciH;gz?)US8F$`Nx%PDu&BJ6R%3jNa>2VBnQe zF_qf0(?_nO%@Opcgi!Q+`H|%QLfUaareb(Z%zH@A8ChAgJ&03YPI5ez1i{zu-{a^Q zcUkkzG~&`bKgAnDL%inbPHZK={gp&927`=z8B&&ap4Nf#iuMaDMRkKf|GCQk$KloM zSXhAV-!fbhbY3KMJw6<+@;WFrT37?Y4p#zwP8_}V%yDm3M=stw0S^z4Hq(=UUdVU) zcwQhIGP=7r&@9D|i~nmLn7|J0N>!p0W@V#~3=KoK7kZf3*l^SP`R5wi7)SW zSHb~XLc3yGT^-Fv!%?B#cq*t}I=*t*P(&hwbRr`o^G@*y_9ZHYV7Yo+boLcc8ivJT zYOJZL=aRkmsHmx_%{R!f^7Ts|43P(K$tx?%NJ^fAR*fZVfN2=_KAk?;h5+=2;Sy{o z)d+SXh`GBK78Vwnih_ahXQ&XsXTQIHd;{wM@Xxphm;Ps@s`%DXowt3V(kH&lyq{I& z4&>;C#(*tisD5tlEv4_@rAjDn`qXZJbP`j`JJT!1HTsnV^UOX7C1gWFEvXUcd<6kj^u-5geWf>I|Cn8y{GPAJ!DiD~)*N#woIkM0M zaf6iOk9L73n1%>3sVGa6XuS;?r1SKu57&m!5SK93x*><;RwNP$%lx*>Qc7K&82Yfi zL;WVC?Tq!bie2MgIfz*q~d{EO^l(MgalGpavJA6*ZY(c-gv`Eo6 zeXv(aHe7n&YDTJXJf>BE$+J`qT2d5if%)vN41;t;Yx}|qR(yk;%mjF9>T02qzCMlN zRJlC)%L_lWB{?QYha5)RY3t z0%3_XkN1vtF_y&fF9HjB`+xFK(_dlmCQ>)#XuX!;NKrAosQ3&SAxGy!xq;fJYYC;j zzR4B{p7f!hIExDl(`mtt^_&+PG1y&6Da@c)=|d~wxo5Y^&eZ~~QEw)Ar@@vWkE`jb z`$7*CSF|#WW>BLzbxNCTOCQ{AX*CQmKdEssJQDRD<6HGO^JZpcJ#?{8;VrICuNpDC z+v{_pRcYrqQHwep)9$*SXL;wv$=UoeosRf@iOpVl# zK|jtGhirIKQs~Q|z|F)BudHE?Ul7fdl0>P_PI~3E8@$|OE3gHqL)=_C$?NK#l0Z@s zoszrTB1bAi`g>s(`t3B87E2Tr6u#nm?xD%(i-Q6Kzs8SO9(jd$uOXlj^T-<$k5*^( zb=4Ua&DBi#s4>Fl48*?F;T5u@@!^(N{{9Zi6XF5>{#efICw1oS#Lav6`>pvfZiE2% ztjTE<3S6Sqrvh?5gjbmtFL)y4LLTVqQm@ynaJ}{O^E6<_)SeFM$*7jf?m$@bY{ADs zZ6AJA%9n+eER~Op9QP7_Wime0Y7t}-GjKh&CctxxR(J=k6u;(_xt3rovwpTL376Q?6mXHu=)T54O25S48fX6pb4hrKCfG# z=}71CN$WLT(7M;&6$;M#u+848XcDLZ!Pf<@VeA)^ZF2jw)C>$lK7FFbN<2q-luQK$ zp*M}jo1d7;@(=z~YB0|#KUGyxxrTNDJAuzdgu(|G%$E8xfzL=mvQ0%I$)K{$LQFyu z4hjD)+AWw~f(|h7o~?KPBxNu3F_vsKQ&_CQM<&FJa!7+VHRVmg{7R*9Rc$*9^9?Ra zeo2vhv$>P|r0pXwuHQABln!Ou_L8GHNN z@xgY9?J$?z^yCHzE)f3AOaT}MQ@!!`zm!a-enCv!RXFjQj*bq-&Y?Ut10Nbem)1~& zRs$x|j1I;(x3DmQe)tc}?HgN=E1<24Z3?j=7PUSd_Kl3J%K3oj^mHG^1SQdmy`qAG z=z60h@!Cd8yv&{?0fP|bF|+3zbtn9{I5-@4Mz|A-avG;?ZJzHgKVfEOW&lq4G$$uc zWp2u$nwDGgX#S5J>t?-3*jp_WGlnoJ;)EO?Lh z^bXqM`fhtJc@gZ1vlC${yT7{;-rj;VpdY>f(idM7MI!*d>QD#KG3~u@h_XGqwE8MrrD^?vQ z+H8)g=owrLy`DX!?_y@;y3)riO=xSZi@52|;;h>h2pn#WwYd zI$WhOD=F%^M;*d6RRO{;0EN*x7wFG$TN~7>H|#t;SX^9u?j_DF|3c@8qe}`QF7lch zV-S_qeS;$zyhrsFm6hLYkWluza4Wiln@c#cP*E@cqM0}$(d06v*=2mqz#EK=Sc%aj z_&8EU`U23DYGPs{CLG2dIJt~)ak&Q#80Kr>gxf1Y&kHoiGYf2M`s9vGQF*I)yGeD) zdrmtz3;R5jPCSJ0g7ez#9twm6y+NX%>ubuO^@&=;qK&=X8qcC6Y|IrgW4DF+Thjf$ zeoDL_^{4S&meA%PHRJ<*UkAt#RV_0jgX*63!f_e3xA3RE!u;CY7ZBJYQxyJNjzHwj zdx%?s6A34FuW(O>1YES?tU2`AWmX|xL>pn&k4TLn+oSdZ+vn+HX=`hbWZIDYO--+x6u5!McVZ}zruYFfU?s=X zWA}lfp<6h%%my& zg(M5TZ8O|0jPk@73`8m5pnqp46f*~lh!TuWG06i^fe=(?Kw+`2a25cA?Ck7c;5A6? zx4213L3;$?^!#a1K)_Pw)PI(bX!ko*bKXOIj^&q+_>h%#d{%qqfM!=U-zuV!#p#LO6GdQo~*b-s{bDJAdEX^ zePv%BT;Sisc|~p4759Hm``>@hhy1^X4s6{0?_K`)z(ZOLrTzC%Lw&=**?*7amw#92 z-&a4mhSC53J+h}wFed!(u`8m4iDv&AX+D1c|8H^t3uo7r?ca9DXyKudl%50IL Sa1_(CCoiKSUHHJ*_x}J&rut6+ literal 0 HcmV?d00001 diff --git a/ppmat/models/transpolymer/transpolymer.py b/ppmat/models/transpolymer/transpolymer.py index 8786995a..a6566970 100644 --- a/ppmat/models/transpolymer/transpolymer.py +++ b/ppmat/models/transpolymer/transpolymer.py @@ -160,3 +160,12 @@ def forward( pred_dict[self.property_name] = self.unnormalize(pred) return {"loss_dict": loss_dict, "pred_dict": pred_dict} + + def predict(self, data): + if isinstance(data, str): + data = {self.smiles_key: [data]} + elif isinstance(data, (list, tuple)): + data = {self.smiles_key: list(data)} + + output = self.forward(data, return_loss=False, return_prediction=True) + return output["pred_dict"] diff --git a/ppmat/utils/save_load.py b/ppmat/utils/save_load.py index 8116d67f..d46adb01 100644 --- a/ppmat/utils/save_load.py +++ b/ppmat/utils/save_load.py @@ -55,6 +55,8 @@ def _load_pretrain_from_path(path: str, model: nn.Layer): param_state_dict = paddle.load(f"{path}.pdparams") if "state_dict" in param_state_dict: param_state_dict = param_state_dict["state_dict"] + elif "model" in param_state_dict: + param_state_dict = param_state_dict["model"] missing_keys_unexpected_keys = model.set_state_dict(param_state_dict) if ( diff --git a/property_prediction/configs/transpolymer/README.md b/property_prediction/configs/transpolymer/README.md index df81ea7e..17d84494 100644 --- a/property_prediction/configs/transpolymer/README.md +++ b/property_prediction/configs/transpolymer/README.md @@ -1,6 +1,6 @@ # TransPolymer -TransPolymer: a Transformer-based language model for polymer property predictions +[TransPolymer: a Transformer-based language model for polymer property predictions](https://arxiv.org/abs/2209.01307) ## Abstract @@ -8,7 +8,7 @@ TransPolymer is a RoBERTa-style language model designed for polymer sequence representation learning and downstream polymer property prediction. It tokenizes polymer SMILES strings with a chemistry-aware tokenizer, encodes them with a pretrained Transformer backbone, and finetunes a regression head for target -properties such as polymer electrolyte conductivity. +polymer properties. ![TransPolymer Pipeline](../../../pipeline.png) @@ -16,62 +16,112 @@ Reference implementation: https://github.com/ChangwenXu98/TransPolymer ## Datasets: -The PE-I benchmark is used for polymer electrolyte conductivity prediction. +The TransPolymer downstream benchmarks cover polymer electronic, optical, +photovoltaic, and polymer electrolyte properties. The PE-I task uses the +provided train/test split, while the other downstream tasks are reported with +5-fold cross validation. -| Dataset | Train | Test | Property | Artifact | +| Dataset | Samples | SMILES column | Target column | Config | | :---: | :---: | :---: | :---: | :---: | -| PE-I | 34803 | 146 | Conductivity [S/cm] | [download](https://pan.baidu.com/s/1AcCpPFrUeRgBb-Gv_sCYYg) (code: 1227) | +| Eea | 368 | smiles | value | [transpolymer_eea_finetune.yaml](transpolymer_eea_finetune.yaml) | +| Egb | 561 | smiles | value | [transpolymer_egb_finetune.yaml](transpolymer_egb_finetune.yaml) | +| Egc | 3380 | smiles | value | [transpolymer_egc_finetune.yaml](transpolymer_egc_finetune.yaml) | +| Ei | 370 | smiles | value | [transpolymer_ei_finetune.yaml](transpolymer_ei_finetune.yaml) | +| EPS | 382 | smiles | value | [transpolymer_eps_finetune.yaml](transpolymer_eps_finetune.yaml) | +| Nc | 382 | smiles | value | [transpolymer_nc_finetune.yaml](transpolymer_nc_finetune.yaml) | +| Xc | 432 | smiles | value | [transpolymer_xc_finetune.yaml](transpolymer_xc_finetune.yaml) | +| OPV | 1203 | CSMILES | PCE_ave | [transpolymer_opv_finetune.yaml](transpolymer_opv_finetune.yaml) | +| PE-I | 34803 / 146 | smiles | Conductivity [S/cm] | [transpolymer_pe_i_finetune.yaml](transpolymer_pe_i_finetune.yaml) | +| PE-II | 271 | SMILES descriptor 1 | logCond60 | [transpolymer_pe_ii_finetune.yaml](transpolymer_pe_ii_finetune.yaml) | -Download the artifact package and extract it to the PaddleMaterials root -directory. After extraction, the directory structure should be: +The pretrained checkpoint and datasets are provided in one artifact: + +| Artifact | Link | Extraction code | +| :---: | :---: | :---: | +| Pretrained checkpoint and datasets | [download](https://pan.baidu.com/s/12Y6iJXOXzff5AQzJhVlzOg) | 1227 | + +Download `transpolymer_pretrain_and_data.zip` and extract it to the +PaddleMaterials root directory. After extraction, the directory structure should +be: ```text PaddleMaterials/ |-- data/ +| |-- Eea.csv +| |-- Egb.csv +| |-- Egc.csv +| |-- Ei.csv +| |-- EPS.csv +| |-- Nc.csv +| |-- Xc.csv +| |-- OPV.csv +| |-- PE_II.csv | |-- train_PE_I.csv | |-- test_PE_I.csv | `-- vocab/ -| `-- vocab_sup_PE_I.csv -|-- ckpt/ -| `-- pretrain.pt/ -| |-- config.json -| `-- model_state.pdparams -`-- output/ - |-- PE_I_best_model.pdparams - |-- PE_I_train.pdparams - |-- transpolymer_pe_i_train.log - `-- config_finetune.yaml +| |-- vocab_sup_OPV.csv +| |-- vocab_sup_PE_I.csv +| `-- vocab_sup_PE_II.csv +`-- ckpt/ + `-- pretrain.pt/ + |-- config.json + `-- model_state.pdparams ``` -The training config uses the relative paths `./data/train_PE_I.csv`, -`./data/test_PE_I.csv`, `./data/vocab/vocab_sup_PE_I.csv`, and -`./ckpt/pretrain.pt`. The `output/` directory contains the finetuned checkpoint -and training log for reference. - -## Model +The training configs use relative paths under `./data`, `./data/vocab`, and +`./ckpt/pretrain.pt`. -TransPolymer uses a polymer-specific SMILES tokenizer and a RoBERTa-style -Transformer encoder. The converted Paddle pretraining checkpoint is loaded as the -backbone, and a lightweight regression head is finetuned for PE-I conductivity -prediction. Tokenization and model input construction are handled inside the -model, while the dataset only loads raw SMILES strings and property labels. +The complete downstream finetuned weights, training logs, finetune configs, and +summary file are provided separately: -## Training +| Artifact | Datasets | Link | Extraction code | +| :---: | :---: | :---: | :---: | +| Downstream outputs part 1 | Eea, Egb, Egc | [download](https://pan.baidu.com/s/1ogiNbW7KBamiok59fLQTkA) | 1227 | +| Downstream outputs part 2a | Ei, EPS | [download](https://pan.baidu.com/s/16AyhP-WmQYGRRhALNvpFPA) | 1227 | +| Downstream outputs part 2b | Nc, Xc | [download](https://pan.baidu.com/s/1dq7zbf54NpM74CAKuCc2Aw) | 1227 | +| Downstream outputs part 3 | OPV, PE-II | [download](https://pan.baidu.com/s/1zLA5xbm6xoEFMOyN679dxQ) | 1227 | +| Downstream outputs part 4 | PE-I, summary | [download](https://pan.baidu.com/s/14_2lIVvU5v2HlYOJZx9M9w) | 1227 | -Run from PaddleMaterials root: +Each downstream output archive keeps the `output/` prefix. Extract the required +parts to the PaddleMaterials root directory to obtain: -```bash -python property_prediction/train.py \ - -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +```text +PaddleMaterials/ +`-- output/ + |-- Eea/ + | |-- Eea_best_model.pdparams + | |-- Eea_train.pdparams + | |-- Eea.log + | `-- config_finetune.Eea.yaml + |-- Egb/ + |-- Egc/ + |-- Ei/ + |-- EPS/ + |-- Nc/ + |-- Xc/ + |-- OPV/ + |-- PE_I/ + |-- PE_II/ + `-- summary_all_9.tsv ``` +## Model + +TransPolymer uses a polymer-specific SMILES tokenizer and a RoBERTa-style +Transformer encoder. The converted Paddle pretraining checkpoint is loaded as the +backbone, and a lightweight regression head is finetuned for each downstream +property prediction task. Tokenization and model input construction are handled +inside the model, while the dataset only loads raw SMILES strings and property +labels. + ## Configuration -Key options are defined in `transpolymer_pe_i_finetune.yaml`: +Key options are defined in the `transpolymer_*_finetune.yaml` files: -- `Dataset.*.dataset.__init_params__.path`: PE-I CSV file path. +- `Dataset.*.dataset.__init_params__.path`: downstream CSV file path. +- `Dataset.*.dataset.__init_params__.smiles_key`: SMILES column name. - `Model.__init_params__.blocksize`: maximum sequence length after tokenization. -- `Model.__init_params__.vocab_sup_file`: supplementary PE-I vocabulary file. +- `Model.__init_params__.vocab_sup_file`: supplementary vocabulary file, used by OPV, PE-I, and PE-II. - `Model.__init_params__.pretrained_model_path`: converted Paddle checkpoint directory. - `Optimizer.lr.__init_params__.learning_rate`: finetuning learning rate. - `Trainer.max_epochs`: maximum finetuning epochs. @@ -84,7 +134,9 @@ Key options are defined in `transpolymer_pe_i_finetune.yaml`: Model Name Dataset Property - RMSE / R2(Test dataset) + RMSE / R2 + Std RMSE / Std R2 + Setting GPUs Training time Config @@ -97,10 +149,190 @@ Key options are defined in `transpolymer_pe_i_finetune.yaml`: PE-I Conductivity [S/cm] 0.8993 / 0.4508 + - / - + Fixed split 1 ~3 hours transpolymer_pe_i_finetune - checkpoint | log (code: 1227) + checkpoint | log (code: 1227) + + + transpolymer_eea_finetune + Eea + value + 0.3307 / 0.9000 + 0.0511 / 0.0351 + 5-fold CV + 1 + see log + transpolymer_eea_finetune + checkpoint | log (code: 1227) + + + transpolymer_egb_finetune + Egb + value + 0.6188 / 0.8978 + 0.0582 / 0.0158 + 5-fold CV + 1 + see log + transpolymer_egb_finetune + checkpoint | log (code: 1227) + + + transpolymer_egc_finetune + Egc + value + 0.4746 / 0.9074 + 0.0258 / 0.0105 + 5-fold CV + 1 + see log + transpolymer_egc_finetune + checkpoint | log (code: 1227) + + + transpolymer_ei_finetune + Ei + value + 0.4298 / 0.8015 + 0.0564 / 0.0609 + 5-fold CV + 1 + see log + transpolymer_ei_finetune + checkpoint | log (code: 1227) + + + transpolymer_eps_finetune + EPS + value + 0.5714 / 0.7153 + 0.0798 / 0.1114 + 5-fold CV + 1 + see log + transpolymer_eps_finetune + checkpoint | log (code: 1227) + + + transpolymer_nc_finetune + Nc + value + 0.1047 / 0.7951 + 0.0197 / 0.0824 + 5-fold CV + 1 + see log + transpolymer_nc_finetune + checkpoint | log (code: 1227) + + + transpolymer_xc_finetune + Xc + value + 18.0286 / 0.4124 + 0.8551 / 0.0556 + 5-fold CV + 1 + see log + transpolymer_xc_finetune + checkpoint | log (code: 1227) + + + transpolymer_opv_finetune + OPV + PCE_ave + 1.9285 / 0.3176 + 0.0759 / 0.0568 + 5-fold CV + 1 + see log + transpolymer_opv_finetune + checkpoint | log (code: 1227) + + + transpolymer_pe_ii_finetune + PE-II + logCond60 + 0.7478 / 0.5961 + 0.0731 / 0.0665 + 5-fold CV + 1 + see log + transpolymer_pe_ii_finetune + checkpoint | log (code: 1227) + +### Training + +Run from PaddleMaterials root: + +```bash +python property_prediction/train.py \ + -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +``` + +Replace `transpolymer_pe_i_finetune.yaml` with any other +`transpolymer_*_finetune.yaml` file to finetune a different downstream task. + +### Validation + +Evaluate a finetuned checkpoint on the validation split: + +```bash +python property_prediction/train.py \ + -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml \ + Global.do_train=False \ + Global.do_eval=True \ + Trainer.pretrained_model_path=./output/PE_I \ + Trainer.pretrained_weight_name=PE_I_best_model.pdparams +``` + +### Testing + +Evaluate a finetuned checkpoint on the test split: + +```bash +python property_prediction/train.py \ + -c property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml \ + Global.do_train=False \ + Global.do_test=True \ + Trainer.pretrained_model_path=./output/PE_I \ + Trainer.pretrained_weight_name=PE_I_best_model.pdparams +``` + +For other tasks, replace the config path and checkpoint name with the +corresponding dataset checkpoint, for example +`Trainer.pretrained_model_path=./output/Eea` and +`Trainer.pretrained_weight_name=Eea_best_model.pdparams`. + +### Prediction + +Run from PaddleMaterials root: + +```bash +python property_prediction/predict.py \ + --config_path property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml \ + --checkpoint_path ./output/PE_I/PE_I_best_model.pdparams \ + --csv_file_path ./property_prediction/example_data/transpolymer_predict.csv \ + --save_path ./output/transpolymer_prediction.csv +``` + +The input CSV should contain the SMILES column required by the selected config, +for example `smiles`, `CSMILES`, or `SMILES descriptor 1`. The prediction result +is saved to the path specified by `--save_path`. + +## Citation + +```bibtex +@article{xu2022transpolymer, + title={TransPolymer: a Transformer-based language model for polymer property predictions}, + author={Xu, Changwen and Wang, Yuyang and Farimani, Amir Barati}, + journal={arXiv preprint arXiv:2209.01307}, + year={2022} +} +``` diff --git a/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml new file mode 100644 index 00000000..32699a79 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_eea + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Eea.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Eea.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Eea.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml new file mode 100644 index 00000000..2d6b4f37 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_egb + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egb.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egb.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egb.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml new file mode 100644 index 00000000..2b650a7e --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_egc + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Egc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml new file mode 100644 index 00000000..74d6b137 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_ei + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Ei.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Ei.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Ei.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml new file mode 100644 index 00000000..74b84b4c --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_eps + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/EPS.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/EPS.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/EPS.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml new file mode 100644 index 00000000..f0d2904b --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_nc + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Nc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Nc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Nc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml new file mode 100644 index 00000000..9c3fd552 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["PCE_ave"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_opv + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "PCE_ave" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: ./data/vocab/vocab_sup_OPV.csv + blocksize: 411 + smiles_key: CSMILES + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + PCE_ave: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/OPV.csv + property_names: ${Global.label_names} + smiles_key: CSMILES + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 8 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/OPV.csv + property_names: ${Global.label_names} + smiles_key: CSMILES + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 8 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/OPV.csv + property_names: ${Global.label_names} + smiles_key: CSMILES + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 8 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml index b225edd7..6810d72d 100644 --- a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml @@ -136,3 +136,6 @@ Dataset: shuffle: False drop_last: False batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml new file mode 100644 index 00000000..163f09dc --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["logCond60"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_pe_ii + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "logCond60" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: ./data/vocab/vocab_sup_PE_II.csv + blocksize: 411 + smiles_key: "SMILES descriptor 1" + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + logCond60: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/PE_II.csv + property_names: ${Global.label_names} + smiles_key: "SMILES descriptor 1" + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 8 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/PE_II.csv + property_names: ${Global.label_names} + smiles_key: "SMILES descriptor 1" + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 8 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/PE_II.csv + property_names: ${Global.label_names} + smiles_key: "SMILES descriptor 1" + loader: + num_workers: 0 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 8 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml new file mode 100644 index 00000000..e42dd314 --- /dev/null +++ b/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml @@ -0,0 +1,122 @@ +Global: + label_names: ["value"] + do_train: True + do_eval: False + do_test: False + +Trainer: + max_epochs: 20 + seed: 1 + output_dir: ./output/transpolymer_xc + save_freq: 1 + log_freq: 20 + start_eval_epoch: 1 + eval_freq: 1 + resume_from_checkpoint: null + use_amp: False + amp_level: "O1" + eval_with_no_grad: True + gradient_accumulation_steps: 1 + best_metric_indicator: "eval_metric" + name_for_best_metric: "value" + greater_is_better: True + compute_metric_during_train: True + metric_strategy_during_eval: "epoch" + use_visualdl: False + use_wandb: False + use_tensorboard: False + tolerance: 5 + +Model: + __class_name__: TransPolymerRegressor + __init_params__: + pretrained_model_path: ./ckpt/pretrain.pt + property_name: ${Global.label_names} + tokenizer_name_or_path: roberta-base + vocab_sup_file: null + blocksize: 411 + smiles_key: smiles + use_token_cache: True + drop_rate: 0.1 + hidden_dropout_prob: 0.1 + attention_probs_dropout_prob: 0.1 + data_mean: 0.0 + data_std: 1.0 + loss_type: mse_loss + +Metric: + value: + __class_name__: R2Metric + __init_params__: {} + +Optimizer: + __class_name__: AdamW + __init_params__: + lr: + __class_name__: Linear + __init_params__: + learning_rate: 0.00005 + warmup_epoch: 1 + warmup_start_lr: 0.0 + by_epoch: False + weight_decay: 0.01 + no_weight_decay_name: "bias LayerNorm.bias LayerNorm.weight layer_norm.bias layer_norm.weight" + +Dataset: + transform: + __class_name__: mean_std_scaling + __init_params__: {} + train: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Xc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: True + drop_last: False + batch_size: 32 + val: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Xc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + test: + dataset: + __class_name__: TransPolymerCsvDataset + __init_params__: + path: ./data/Xc.csv + property_names: ${Global.label_names} + smiles_key: smiles + loader: + num_workers: 8 + use_shared_memory: False + collate_fn: DefaultCollator + sampler: + __class_name__: BatchSampler + __init_params__: + shuffle: False + drop_last: False + batch_size: 32 + +Predict: + eval_with_no_grad: True diff --git a/property_prediction/example_data/transpolymer_predict.csv b/property_prediction/example_data/transpolymer_predict.csv new file mode 100644 index 00000000..5fb26aa7 --- /dev/null +++ b/property_prediction/example_data/transpolymer_predict.csv @@ -0,0 +1,4 @@ +smiles +[*]CC[*] +[*]C(=O)OCC[*] +[*]c1ccccc1[*] diff --git a/property_prediction/predict.py b/property_prediction/predict.py index 3866bcba..3d80311d 100644 --- a/property_prediction/predict.py +++ b/property_prediction/predict.py @@ -101,7 +101,7 @@ def __init__( self.model.eval() - predict_config = config.get("Predict", None) + predict_config = config.get("Predict", None) or {} self.predict_config = predict_config self.eval_with_no_grad = predict_config.get("eval_with_no_grad", True) @@ -117,6 +117,9 @@ def __init__( else: self.post_transforms = None + model_params = config.get("Model", {}).get("__init_params__", {}) + self.smiles_key = model_params.get("smiles_key", "smiles") + def graph_converter(self, structure): if self.graph_converter_fn is None: return structure @@ -182,6 +185,35 @@ def from_cif_file(self, cif_file_path, save_path=None): return result + @staticmethod + def _flatten_prediction(value): + if isinstance(value, paddle.Tensor): + value = value.numpy() + if hasattr(value, "reshape"): + return value.reshape([-1]).tolist() + if isinstance(value, (list, tuple)): + return list(value) + return [value] + + def from_csv_file(self, csv_file_path, smiles_column="smiles", save_path=None): + if save_path is not None: + assert save_path.endswith(".csv"), "save_path must end with .csv" + + df = pd.read_csv(csv_file_path) + if smiles_column not in df.columns: + smiles_column = df.columns[0] + + data = {self.smiles_key: df[smiles_column].astype(str).tolist()} + result = self.from_structures(data) + + if save_path is not None: + for key, value in result.items(): + df[key] = self._flatten_prediction(value) + df.to_csv(save_path, index=False) + logger.info(f"Saved the prediction result to {save_path}") + + return result + if __name__ == "__main__": @@ -216,6 +248,18 @@ def from_cif_file(self, cif_file_path, save_path=None): default="./property_prediction/example_data/cifs/", help="Path to the CIF file whose material properties you want to predict.", ) + argparse.add_argument( + "--csv_file_path", + type=str, + default=None, + help="Path to the CSV file whose SMILES properties you want to predict.", + ) + argparse.add_argument( + "--smiles_column", + type=str, + default="smiles", + help="SMILES column name in the input CSV file.", + ) argparse.add_argument( "--save_path", type=str, @@ -231,5 +275,10 @@ def from_cif_file(self, cif_file_path, save_path=None): checkpoint_path=args.checkpoint_path, ) - results = predictor.from_cif_file(args.cif_file_path, args.save_path) + if args.csv_file_path is not None: + results = predictor.from_csv_file( + args.csv_file_path, args.smiles_column, args.save_path + ) + else: + results = predictor.from_cif_file(args.cif_file_path, args.save_path) print(results) From a0fed184c40a436ed9201562bf18a15f1a9c32fe Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Tue, 14 Jul 2026 16:39:51 +0800 Subject: [PATCH 5/7] =?UTF-8?q?=E6=96=B0=E5=A2=9E=20pretrained=5Fmodel=5Fu?= =?UTF-8?q?rl=20=E5=8F=82=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ppmat/models/transpolymer/transpolymer.py | 53 +++++++++++++++++++++++ 1 file changed, 53 insertions(+) diff --git a/ppmat/models/transpolymer/transpolymer.py b/ppmat/models/transpolymer/transpolymer.py index a6566970..fd956735 100644 --- a/ppmat/models/transpolymer/transpolymer.py +++ b/ppmat/models/transpolymer/transpolymer.py @@ -1,3 +1,7 @@ +import os +import shutil +import subprocess +import tempfile from copy import deepcopy import paddle @@ -13,9 +17,55 @@ class TransPolymerRegressor(nn.Layer): """TransPolymer encoder with a regression head for polymer property prediction.""" + @staticmethod + def _is_pretrained_checkpoint_ready(pretrained_model_path): + if pretrained_model_path is None: + return False + config_path = os.path.join(pretrained_model_path, "config.json") + state_path = os.path.join(pretrained_model_path, "model_state.pdparams") + return ( + os.path.exists(config_path) + and os.path.exists(state_path) + and os.path.getsize(state_path) > 1024 * 1024 + ) + + @classmethod + def _prepare_pretrained_checkpoint(cls, pretrained_model_path, pretrained_model_url): + if cls._is_pretrained_checkpoint_ready(pretrained_model_path): + return + if pretrained_model_url is None: + return + if shutil.which("git") is None: + raise RuntimeError( + "TransPolymer pretrained checkpoint is missing and git is not installed. " + f"Please download {pretrained_model_url} to {pretrained_model_path}." + ) + + os.makedirs(pretrained_model_path, exist_ok=True) + with tempfile.TemporaryDirectory() as tmp_dir: + repo_dir = os.path.join(tmp_dir, "transpolymer_pretrain") + subprocess.run(["git", "lfs", "install"], check=True) + subprocess.run( + ["git", "clone", pretrained_model_url, repo_dir], + check=True, + ) + for filename in ("config.json", "model_state.pdparams"): + src = os.path.join(repo_dir, filename) + if not os.path.exists(src): + raise FileNotFoundError( + f"Missing {filename} in downloaded TransPolymer checkpoint." + ) + shutil.copy2(src, os.path.join(pretrained_model_path, filename)) + if not cls._is_pretrained_checkpoint_ready(pretrained_model_path): + raise RuntimeError( + "Downloaded TransPolymer checkpoint is incomplete. " + "Please check that Git LFS is installed and enabled." + ) + def __init__( self, pretrained_model_path=None, + pretrained_model_url=None, vocab_size=50265, hidden_size=768, intermediate_size=3072, @@ -38,6 +88,9 @@ def __init__( ): super().__init__() if pretrained_model_path: + self._prepare_pretrained_checkpoint( + pretrained_model_path, pretrained_model_url + ) encoder = RobertaModel.from_pretrained(pretrained_model_path) else: config = RobertaConfig( From 353bfd2490d8ed3bec578bb760379370b583a924 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Tue, 14 Jul 2026 16:41:52 +0800 Subject: [PATCH 6/7] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E4=BA=86=E9=A2=84?= =?UTF-8?q?=E8=AE=AD=E7=BB=83=E6=A8=A1=E5=9E=8B=E6=9D=83=E9=87=8D=E4=B8=80?= =?UTF-8?q?=E9=94=AE=E6=8E=A8=E7=90=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../configs/transpolymer/README.md | 38 ++++++++++++++++--- 1 file changed, 33 insertions(+), 5 deletions(-) diff --git a/property_prediction/configs/transpolymer/README.md b/property_prediction/configs/transpolymer/README.md index 17d84494..9dee3331 100644 --- a/property_prediction/configs/transpolymer/README.md +++ b/property_prediction/configs/transpolymer/README.md @@ -34,15 +34,15 @@ provided train/test split, while the other downstream tasks are reported with | PE-I | 34803 / 146 | smiles | Conductivity [S/cm] | [transpolymer_pe_i_finetune.yaml](transpolymer_pe_i_finetune.yaml) | | PE-II | 271 | SMILES descriptor 1 | logCond60 | [transpolymer_pe_ii_finetune.yaml](transpolymer_pe_ii_finetune.yaml) | -The pretrained checkpoint and datasets are provided in one artifact: +The downstream datasets are provided in one artifact: | Artifact | Link | Extraction code | | :---: | :---: | :---: | -| Pretrained checkpoint and datasets | [download](https://pan.baidu.com/s/12Y6iJXOXzff5AQzJhVlzOg) | 1227 | +| Datasets | [download](https://pan.baidu.com/s/12Y6iJXOXzff5AQzJhVlzOg) | 1227 | -Download `transpolymer_pretrain_and_data.zip` and extract it to the -PaddleMaterials root directory. After extraction, the directory structure should -be: +Download `transpolymer_pretrain_and_data.zip` and extract the `data/` directory +to the PaddleMaterials root directory. After extraction, the dataset directory +structure should be: ```text PaddleMaterials/ @@ -62,6 +62,33 @@ PaddleMaterials/ | |-- vocab_sup_OPV.csv | |-- vocab_sup_PE_I.csv | `-- vocab_sup_PE_II.csv +``` + +The converted Paddle pretrained checkpoint is hosted in the model repository: + +```text +https://git.aistudio.baidu.com/TransPolymer/TransPolymer123 +``` + +The training configs set `pretrained_model_path=./ckpt/pretrain.pt` and +`pretrained_model_url` to the Git LFS clone URL. If +`./ckpt/pretrain.pt/config.json` and +`./ckpt/pretrain.pt/model_state.pdparams` are missing, the model will clone the +repository and prepare the checkpoint automatically before training. To download +it manually: + +```bash +git lfs install +git clone https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git /tmp/TransPolymer123 +mkdir -p ./ckpt/pretrain.pt +cp /tmp/TransPolymer123/config.json ./ckpt/pretrain.pt/ +cp /tmp/TransPolymer123/model_state.pdparams ./ckpt/pretrain.pt/ +``` + +The expected local checkpoint layout is: + +```text +PaddleMaterials/ `-- ckpt/ `-- pretrain.pt/ |-- config.json @@ -123,6 +150,7 @@ Key options are defined in the `transpolymer_*_finetune.yaml` files: - `Model.__init_params__.blocksize`: maximum sequence length after tokenization. - `Model.__init_params__.vocab_sup_file`: supplementary vocabulary file, used by OPV, PE-I, and PE-II. - `Model.__init_params__.pretrained_model_path`: converted Paddle checkpoint directory. +- `Model.__init_params__.pretrained_model_url`: Git LFS model repository used to automatically prepare the pretrained checkpoint when missing. - `Optimizer.lr.__init_params__.learning_rate`: finetuning learning rate. - `Trainer.max_epochs`: maximum finetuning epochs. From 5a2a0c6157b21dc09520fd7cea584c4a17c0e124 Mon Sep 17 00:00:00 2001 From: delolivier141-bot Date: Tue, 14 Jul 2026 16:45:58 +0800 Subject: [PATCH 7/7] =?UTF-8?q?=E6=B7=BB=E5=8A=A0pretrained=5Fmodel=5Furl?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../configs/transpolymer/transpolymer_eea_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_egb_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_egc_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_ei_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_eps_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_nc_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_opv_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_pe_i_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_pe_ii_finetune.yaml | 1 + .../configs/transpolymer/transpolymer_xc_finetune.yaml | 1 + 10 files changed, 10 insertions(+) diff --git a/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml index 32699a79..ca59524a 100644 --- a/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_eea_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml index 2d6b4f37..4a3506cf 100644 --- a/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_egb_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml index 2b650a7e..91c9dc68 100644 --- a/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_egc_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml index 74d6b137..2e5ea036 100644 --- a/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_ei_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml index 74b84b4c..a86ab022 100644 --- a/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_eps_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml index f0d2904b..6c1909d4 100644 --- a/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_nc_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null diff --git a/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml index 9c3fd552..ff1d2104 100644 --- a/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_opv_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: ./data/vocab/vocab_sup_OPV.csv diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml index 6810d72d..180f4cbb 100644 --- a/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_pe_i_finetune.yaml @@ -47,6 +47,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: ./data/vocab/vocab_sup_PE_I.csv diff --git a/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml index 163f09dc..9af0acea 100644 --- a/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_pe_ii_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: ./data/vocab/vocab_sup_PE_II.csv diff --git a/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml b/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml index e42dd314..6a924ba1 100644 --- a/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml +++ b/property_prediction/configs/transpolymer/transpolymer_xc_finetune.yaml @@ -31,6 +31,7 @@ Model: __class_name__: TransPolymerRegressor __init_params__: pretrained_model_path: ./ckpt/pretrain.pt + pretrained_model_url: https://28bf65435bc4c13f5b89a153488f09972c18f7f4@git.aistudio.baidu.com/TransPolymer/TransPolymer123.git property_name: ${Global.label_names} tokenizer_name_or_path: roberta-base vocab_sup_file: null