From 152376985d7916fbfdaba13eda60148eb7a1cc2b Mon Sep 17 00:00:00 2001 From: IMvision12 Date: Fri, 28 Aug 2026 23:04:19 -0700 Subject: [PATCH 1/3] fix readme --- README.md | 2 +- docs/classification_backbones.md | 3 +- docs/regnet.md | 165 ------------------------------- website/mkdocs.yml | 1 - 4 files changed, 3 insertions(+), 168 deletions(-) delete mode 100644 docs/regnet.md diff --git a/README.md b/README.md index 5fbf2212..68588739 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ ## 📖 Introduction -ZeroModels is a collection of models with pretrained weights, built entirely with Keras 3. It supports a range of tasks, including classification, object detection (DETR, RT-DETR, RT-DETRv2, RF-DETR, D-FINE, EfficientDet, OWL-ViT, OWLv2, Grounding DINO), segmentation (SAM, SAM2, SAM3, SegFormer, DeepLabV3, EoMT, MaskFormer, Mask2Former, OneFormer, MobileViT-DeepLabV3, RF-DETR), monocular depth estimation (Depth Anything V1, Depth Anything V2, TIPSv2-DPT), feature extraction (DINO, DINOv2, DINOv3), vision-language modeling (CLIP, SigLIP, SigLIP2, MetaCLIP 2, TIPSv2), speech recognition (Whisper, Speech2Text, Moonshine, Granite Speech 5), speech-aware language modeling (Granite Speech, Granite Speech Plus), text encoding and masked language modeling (BERT, ModernBERT, ELECTRA, RoBERTa, XLM-RoBERTa, DeBERTa, DeBERTa-v2, DeBERTa-v3), text generation with large language models (GPT, GPT-2, Qwen2, Qwen2-MoE, Qwen3, Qwen3-MoE, Qwen3-Next, Qwen3.5, GPT-OSS, Llama 2, Llama 3, Llama 4, Mistral, Mixtral, Gemma, Gemma 2, MiniMax-Text-01, MiniMax-M2, DeepSeek-V2, DeepSeek-V3, DeepSeek-V4, GLM-4, GLM-4-0414, GLM-4.5/GLM-4.6, GLM-5/GLM-5.1/GLM-5.2), text-to-text encoder-decoder modeling (T5), multimodal vision-language generation (Qwen2-VL, Qwen2.5-VL, Qwen3-VL, Qwen3-VL-MoE, Qwen3.5-MoE, InternVL3, Gemma 3, Gemma 3n, Gemma 4, Gemma 4 Unified, Mistral 3, DeepSeek-VL, Janus-Pro, MiniMax-M3-VL, GLM-4V, GLM-4.5V, Kimi K2.5, Kimi K2.6, Kimi K2.7-Code), vision-language grounding across object detection, OCR, pointing, and referring (LocateAnything), and more. It includes hybrid architectures like MaxViT alongside traditional CNNs and pure transformers. zeromodels includes custom layers and backbone support, providing flexibility and efficiency across various applications. For backbones, there are various weight variants like `in1k`, `in21k`, `fb_dist_in1k`, `ms_in22k`, `fb_in22k_ft_in1k`, `ns_jft_in1k`, `aa_in1k`, `cvnets_in1k`, `augreg_in21k_ft_in1k`, `augreg_in21k`, and many more. +ZeroModels is a collection of pretrained models built entirely in Keras 3. It spans a broad range of tasks, including image classification, object detection, segmentation, monocular depth estimation, feature extraction, vision-language modeling (VLMs), speech recognition, speech-aware language modeling, text encoding and masked language modeling, large language models (LLMs), text-to-text encoder-decoder modeling, multimodal vision-language generation, and more. ## ⚡ Installation diff --git a/docs/classification_backbones.md b/docs/classification_backbones.md index 249ae8fe..38f07366 100644 --- a/docs/classification_backbones.md +++ b/docs/classification_backbones.md @@ -30,7 +30,7 @@ backbone = ResNetModel.from_weights("zeromodels/resnet50_a1_in1k") feature_map = backbone(images) # (B, H/32, W/32, 2048) ``` -The same pattern works for every classification arch - swap `ResNet` for `CaiT`, `ViT`, `ConvNeXt`, `EfficientNet`, `Swin`, `MobileNetV3`, etc. +The same pattern works for every classification arch - swap `ResNet` for `CaiT`, `ViT`, `ConvNeXt`, `RegNet`, `EfficientNet`, `Swin`, `MobileNetV3`, etc. ## Data Format @@ -65,6 +65,7 @@ The number of stages and their semantics depend on the architecture: | Family | Stages when `as_backbone=True` | |-----------------------------------------------------|-----------------------------------------------------------------| | ResNet / ResNetV2 / Res2Net / ResNeXt / SENet | 4 (one per residual stage) | +| RegNet | 4 (one per stage; strides 4, 8, 16, 32) | | ConvNeXt / ConvNeXtV2 | 4 | | EfficientNet / EfficientNet-Lite / EfficientNetV2 | 5 (at stride-2 boundaries; head conv excluded) | | EfficientFormer | 4 | diff --git a/docs/regnet.md b/docs/regnet.md deleted file mode 100644 index 65c7a225..00000000 --- a/docs/regnet.md +++ /dev/null @@ -1,165 +0,0 @@ -# RegNet - -
-Weights: pretrained Keras weights live on Hugging Face under -zeromodels/regnet-<variant> -(12 X + 12 Y variants; each repo carries zm_config.json + -model.weights.h5). Load with -from_weights("zeromodels/regnet-y-040"). -
- -RegNet (Designing Network Design Spaces) is a family of ConvNets whose per-stage widths and -depths follow a simple **quantized-linear rule** found by searching design spaces rather than -tuning individual architectures. It is a 3x3 stride-2 stem followed by **four stages** of -residual blocks; each block is a `1x1 -> 3x3 grouped -> 1x1` bottleneck, and the **RegNet-Y** -variant inserts a **Squeeze-and-Excitation** module. The 3x3 convolution is split into -`out_channels // groups_width` groups. Width grows and resolution halves each stage, so a -single backbone yields a standard CNN feature pyramid usable for classification and dense -prediction. - -**Paper**: [Designing Network Design Spaces](https://arxiv.org/abs/2003.13678) - -RegNet comes in two families: **X** (plain bottleneck) and **Y** (+ Squeeze-and-Excitation, -the stronger and more common one). - -## API - -### RegNetImageClassify - -```python -RegNetImageClassify( - embedding_size=32, - hidden_sizes=(128, 192, 512, 1088), - depths=(2, 6, 12, 2), - groups_width=64, - layer_type="y", - downsample_in_first_stage=True, - image_size=224, - include_normalization=True, - normalization_mode="imagenet", - num_classes=1000, - classifier_activation="linear", - name="RegNetImageClassify", -) -``` - -The classifier: the backbone plus a GlobalAveragePooling2D + dense head. -`include_normalization=True` means the model takes **raw `[0, 255]` pixels** and applies -ImageNet mean/std internally, so there is no separate image processor to construct. - -**Parameters** - -- **embedding_size** (`int`): output width of the 3x3 stride-2 stem. -- **hidden_sizes** / **depths** (`tuple`): per-stage output width and block count. -- **groups_width** (`int`): channels per group of the 3x3 grouped convolution (a block's group count is `out_channels // groups_width`). -- **layer_type** (`str`): `"y"` (adds Squeeze-and-Excitation) or `"x"`. -- **downsample_in_first_stage** (`bool`): whether the first stage downsamples. `True` for the standard checkpoints (RegNet has no pooling stem). -- **image_size** (`int`, *optional*, defaults to `224`): resolution the model is built for. -- **include_normalization** (`bool`, *optional*, defaults to `True`): bake ImageNet normalization into the graph. -- **num_classes** (`int`, *optional*, defaults to `1000`): classifier outputs. - -`from_weights` fills the architectural fields from the variant's config, so you normally pass -only the repo id. - -**Call** `model(pixel_values, training=False)`. **Returns** class logits of shape -`(B, num_classes)`. - -### RegNetModel - -The backbone alone. With `as_backbone=True` it returns the four stage feature maps -(the pyramid) instead of just the last one, for detection or segmentation necks. - -```python -RegNetModel(as_backbone=False, layer_type="y", groups_width=64, ..., include_normalization=True) -``` - -### RegNetConfig - -Typed config (`model_type="regnet"`) holding the fields above; serialized into each Hub repo's -`zm_config.json`. - -## Model Variants - -For `RegNetImageClassify.from_weights("zeromodels/regnet-")`. The number is the -model's compute in units of 0.1 GFLOPs (`002` = 0.2 GF ... `320` = 32 GF). - -| Family | Variants | -|------------------------|--------------------------------------------------------------------------| -| **RegNet-X** (plain) | `regnet-x-{002,004,006,008,016,032,040,064,080,120,160,320}` | -| **RegNet-Y** (+ SE) | `regnet-y-{002,004,006,008,016,032,040,064,080,120,160,320}` | - -At matched compute the Y family (with Squeeze-and-Excitation) is generally stronger; e.g. -`regnet-y-320` reaches ~80.9% ImageNet-1k top-1. All are 224x224, 1000 classes. The larger -self-supervised `facebook/regnet-y-{320,640,1280,10b}-seer` checkpoints are not mirrored here -but load on the fly with the `hf:` prefix (see [below](#loading-fine-tuned-and-community-weights)). - -## Basic Usage - -```python -import keras -import numpy as np -from PIL import Image -from zeromodels.models.regnet import RegNetImageClassify - -model = RegNetImageClassify.from_weights("zeromodels/regnet-y-040") - -image = Image.open("assets/data/coco_bear.jpg").convert("RGB").resize((224, 224)) -pixels = np.asarray(image, "float32")[None] # (1, 224, 224, 3), raw [0, 255] - -logits = model(pixels, training=False) -top5 = np.argsort(keras.ops.convert_to_numpy(logits)[0])[-5:][::-1] -print("top-5 ImageNet-1k class ids:", top5.tolist()) -``` - -Normalization is inside the model, so pass raw pixels. Map the class ids to the -[ImageNet-1k label list](https://huggingface.co/datasets/imagenet-1k) to read names. - -## Feature Pyramid - -For detection / segmentation, take the four stage outputs: - -```python -from zeromodels.models.regnet import RegNetModel - -backbone = RegNetModel.from_weights("zeromodels/regnet-y-040", as_backbone=True) -feats = backbone(np.zeros((1, 224, 224, 3), "float32"), training=False) -print([tuple(f.shape) for f in feats]) -# spatial 56 / 28 / 14 / 7 (strides 4, 8, 16, 32); channels are the variant's hidden_sizes -``` - -The strides are 4, 8, 16, 32, matching a standard CNN backbone. RegNet is fully -convolutional (no learned position embeddings), so any input resolution works with no -weight interpolation: build the model at the target `image_size`. - -## Data Format - -**The model supports both `channels_last` and `channels_first`, and the two are -bit-exact.** A model reads `keras.config.image_data_format()` when it is **constructed** -(there is no `data_format` argument); set the format before building. - -```python -import keras - -keras.config.set_image_data_format("channels_first") -model = RegNetImageClassify.from_weights( - "zeromodels/regnet-y-040" -) # expects (B, 3, H, W) -``` - -## Loading Fine-tuned and Community Weights - -The `zeromodels/regnet-*` repos above are pre-converted. Any **other** Hugging Face repo whose -`model_type` is `"regnet"` (the upstream `facebook/regnet-*` and `-seer` checkpoints, or any -fine-tune) loads with the `hf:` prefix, converting on the fly: - -```python -from zeromodels.models.regnet import RegNetImageClassify - -model = RegNetImageClassify.from_weights("hf:facebook/regnet-x-320") -model = RegNetImageClassify.from_weights("hf:/regnet-finetuned-on-my-data") - -# Architecture only, randomly initialized -model = RegNetImageClassify.from_weights("hf:facebook/regnet-y-040", load_weights=False) -``` - -`RegNetModel` accepts `hf:` the same way. diff --git a/website/mkdocs.yml b/website/mkdocs.yml index d37d9d36..5d449ba3 100644 --- a/website/mkdocs.yml +++ b/website/mkdocs.yml @@ -184,7 +184,6 @@ nav: - MobileViTV2: mobilevitv2.md - PVT: pvt.md - PVTv2: pvt_v2.md - - RegNet: regnet.md - RF-DETR: rf_detr.md - RT-DETR: rt_detr.md - RT-DETRv2: rt_detr_v2.md From 43f12a91bd49615edcdaef8c94e559f4fae72384 Mon Sep 17 00:00:00 2001 From: IMvision12 Date: Sat, 29 Aug 2026 00:32:37 -0700 Subject: [PATCH 2/3] fix --- README.md | 10 +- docs/table_transformer.md | 297 ++++++++ tests/base/model_test_registry.py | 15 + website/mkdocs.yml | 1 + zeromodels/models/__init__.py | 1 + .../models/rf_detr/rf_detr_image_processor.py | 182 +++-- .../models/table_transformer/__init__.py | 10 + .../convert_table_transformer_hf_to_keras.py | 314 +++++++++ .../table_transformer_config.py | 69 ++ .../table_transformer_image_processor.py | 154 +++++ .../table_transformer_layers.py | 321 +++++++++ .../table_transformer_model.py | 654 ++++++++++++++++++ 12 files changed, 1928 insertions(+), 100 deletions(-) create mode 100644 docs/table_transformer.md create mode 100644 zeromodels/models/table_transformer/__init__.py create mode 100644 zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py create mode 100644 zeromodels/models/table_transformer/table_transformer_config.py create mode 100644 zeromodels/models/table_transformer/table_transformer_image_processor.py create mode 100644 zeromodels/models/table_transformer/table_transformer_layers.py create mode 100644 zeromodels/models/table_transformer/table_transformer_model.py diff --git a/README.md b/README.md index 68588739..2deaf27a 100644 --- a/README.md +++ b/README.md @@ -31,11 +31,14 @@ pip install -U git+https://github.com/IMvision12/ZeroModels ## 📑 Documentation -📖 **[imvision12.github.io/ZeroModels](https://imvision12.github.io/ZeroModels/)** — the rendered docs, with search. +**[ZeroModels Documentation](https://imvision12.github.io/ZeroModels/)** -Per-model guides - with architecture notes, usage examples, and available pretrained weights, cover one page per model across every supported task (classification, object detection, segmentation, depth estimation, feature extraction, vision-language, speech recognition, text encoding, and language modeling). Classification backbones share a single [page](https://imvision12.github.io/ZeroModels/classification_backbones/) since they all follow the same `XModel` / `XImageClassify` two-class structure; each other model has its own. Every example on those pages prints its real, measured output. +Detailed guides are available for all supported tasks, with architecture notes, usage examples, pretrained weights, and real model outputs. + +Classification backbones share a single [documentation page](https://imvision12.github.io/ZeroModels/classification_backbones/), while other model families have dedicated pages. + +Documentation sources are also available in [`docs/`](docs/). -The Markdown sources live in [`docs/`](docs/) if you would rather read them in the repo. ## 📑 Models @@ -142,6 +145,7 @@ The Markdown sources live in [`docs/`](docs/) if you would rather read them in t |---------------|-------------------|---------------------| | D-FINE | [D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement](https://arxiv.org/abs/2410.13842) | `transformers` | | DETR | [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) | `transformers` | + | Table Transformer | [PubTables-1M: Towards comprehensive table extraction from unstructured documents](https://arxiv.org/abs/2110.00061) | `transformers` | | EfficientDet | [EfficientDet: Scalable and Efficient Object Detection](https://arxiv.org/abs/1911.09070) | `automl` | | RT-DETR | [DETRs Beat YOLOs on Real-time Object Detection](https://arxiv.org/abs/2304.08069) | `transformers` | | RT-DETRv2 | [RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformers](https://arxiv.org/abs/2407.17140) | `transformers` | diff --git a/docs/table_transformer.md b/docs/table_transformer.md new file mode 100644 index 00000000..ba5af47a --- /dev/null +++ b/docs/table_transformer.md @@ -0,0 +1,297 @@ +# Table Transformer + +
+Weights: Table Transformer loads Microsoft's PubTables-1M checkpoints on the fly with +the hf: prefix, e.g. +from_weights("hf:microsoft/table-transformer-detection"). The architecture is read +from the repo's config.json, so no shape arguments are needed. +
+ +Table Transformer (TATR) applies the DETR detection recipe to tables. It is the same +end-to-end set-prediction model: a ResNet backbone produces a feature map, a transformer +encoder-decoder attends over it with a fixed set of learned object queries, and each query +emits one class and one box, with no anchors and no non-maximum suppression. It ships in two +tasks, both the same architecture with a different query count and label set: + +- **Table detection** finds tables in a page image (classes: table, table rotated). +- **Table-structure recognition** decomposes a cropped table into its cells (classes: table, + column, row, column header, projected row header, spanning cell). + +Two details separate it from DETR: the encoder and decoder layers are **pre-normalized** (the +LayerNorm sits before each attention / feed-forward sub-layer) with an extra final encoder +LayerNorm, and the backbone is a **ResNet-18** (so the 1x1 input projection reduces 512 +channels rather than 2048). + +**Paper**: [PubTables-1M: Towards comprehensive table extraction from unstructured +documents](https://arxiv.org/abs/2110.00061) + +## API + +### TableTransformerDetect + +```python +TableTransformerDetect( + hidden_dim=256, + num_heads=8, + num_encoder_layers=6, + num_decoder_layers=6, + dim_feedforward=2048, + dropout_rate=0.1, + num_queries=15, + num_classes=3, + image_size=800, + input_tensor=None, + name="TableTransformerDetect", +) +``` + +The detection model: backbone, transformer, and the class and box heads. **This one class +serves both tasks**; only `num_queries` and `num_classes` differ between the checkpoints, and +`from_weights` fills them in from the repo config. + +**Parameters** + +- **hidden_dim** (`int`, *optional*, defaults to `256`): transformer width, the `d_model` of the HF config. +- **num_heads** (`int`, *optional*, defaults to `8`): attention heads. +- **num_encoder_layers** (`int`, *optional*, defaults to `6`): encoder depth. +- **num_decoder_layers** (`int`, *optional*, defaults to `6`): decoder depth. +- **dim_feedforward** (`int`, *optional*, defaults to `2048`): FFN inner dimension. +- **dropout_rate** (`float`, *optional*, defaults to `0.1`): dropout, active only during training. +- **num_queries** (`int`, *optional*, defaults to `15`): learned object queries, the hard ceiling on detections per image. Detection uses 15, structure recognition 125. +- **num_classes** (`int`, *optional*, defaults to `3`): object classes plus the "no object" class (detection: 2 + 1; structure: 6 + 1). +- **image_size** (`int`, *optional*, defaults to `800`): input resolution the model is built for. +- **input_tensor** (`dict`, *optional*): pre-existing input tensor to build on. +- **name** (`str`, *optional*, defaults to `"TableTransformerDetect"`): model name. + +**Call** `model(pixel_values, training=False)`. **Returns** a `dict`: + +- **logits** (`(B, num_queries, num_classes)`): per-query class logits. +- **pred_boxes** (`(B, num_queries, 4)`): normalized `(cx, cy, w, h)` in `[0, 1]`. + +Raw output is one prediction per query, most of them the "no object" class. Run it through +`post_process_object_detection` to get scored, pixel-space boxes. + +### TableTransformerModel + +```python +TableTransformerModel( + hidden_dim=256, + num_heads=8, + num_encoder_layers=6, + num_decoder_layers=6, + dim_feedforward=2048, + dropout_rate=0.1, + num_queries=15, + image_size=800, + input_tensor=None, + name="TableTransformerModel", +) +``` + +The backbone and transformer without detection heads, ending at the decoder hidden states. +Use it when you want Table Transformer features to attach your own head to. + +**Parameters** are identical to [TableTransformerDetect](#tabletransformerdetect), minus +**num_classes**, and **name** defaults to `"TableTransformerModel"`. + +**Returns** the decoder's last hidden state, `(B, num_queries, hidden_dim)`. + +## Preprocessing + +### TableTransformerImageProcessor + +```python +TableTransformerImageProcessor( + size=None, + resample="bilinear", + do_rescale=True, + rescale_factor=1 / 255, + do_normalize=True, + image_mean=None, + image_std=None, + return_tensor=True, + data_format=None, +) +``` + +Resizes to a fixed square, rescales to `[0, 1]`, and normalizes with ImageNet statistics +(the same preprocessing the Table Transformer checkpoints ship with). + +**Parameters** + +- **size** (`dict`, *optional*, defaults to `{"height": 800, "width": 800}`): target size. +- **resample** (`str`, *optional*, defaults to `"bilinear"`): resize interpolation. +- **do_rescale** (`bool`, *optional*, defaults to `True`): scale pixels to `[0, 1]`. +- **rescale_factor** (`float`, *optional*, defaults to `1/255`): the rescaling factor. +- **do_normalize** (`bool`, *optional*, defaults to `True`): apply mean/std normalization. +- **image_mean** (`tuple`, *optional*, defaults to `(0.485, 0.456, 0.406)`): per-channel mean. +- **image_std** (`tuple`, *optional*, defaults to `(0.229, 0.224, 0.225)`): per-channel std. +- **return_tensor** (`bool`, *optional*, defaults to `True`): return backend tensors rather than numpy. +- **data_format** (`str`, *optional*): `"channels_last"` or `"channels_first"`. Defaults to `keras.config.image_data_format()`. + +**Call** `processor(image)` with a path, a PIL image, an array, or a **list** of any mix of +those. **Returns** a `dict` with **pixel_values** (`(B, H, W, 3)`). + +**post_process_object_detection** + +```python +processor.post_process_object_detection( + outputs, threshold=0.7, target_sizes=None, label_names=None +) +``` + +Softmaxes the logits, drops the "no object" class, keeps whatever clears `threshold`, and +converts boxes to pixel-space `(x0, y0, x1, y1)` scaled to `target_sizes`. + +- **outputs**: the `dict` returned by the model. +- **threshold** (`float`, *optional*, defaults to `0.7`): minimum class probability. +- **target_sizes** (`list` of `(height, width)`, *optional*): original image sizes, one per batch element. +- **label_names** (`list` of `str`, *optional*): class names. Defaults to the six structure-recognition labels; pass `TABLE_DETECTION_LABELS` for the detection model. + +**Returns** a list with one `dict` per image, each holding **scores**, **labels**, +**label_names**, and **boxes** (`(x0, y0, x1, y1)` in pixels). + +The module also exports the two label tuples for convenience: + +```python +from zeromodels.models.table_transformer.table_transformer_image_processor import ( + TABLE_DETECTION_LABELS, # ("table", "table rotated") + TABLE_STRUCTURE_LABELS, # ("table", "table column", "table row", ...) +) +``` + +## Model Variants + +All variants are ResNet-18 backboned. Load any of them with +`TableTransformerDetect.from_weights("hf:")`. + +| Task | HF repo | Queries | Classes | +|------------------------|---------------------------------------------------------------|--------:|--------:| +| Table detection | `microsoft/table-transformer-detection` | 15 | 2 + 1 | +| Structure recognition | `microsoft/table-transformer-structure-recognition` | 125 | 6 + 1 | +| Structure v1.1 (all) | `microsoft/table-transformer-structure-recognition-v1.1-all` | 125 | 6 + 1 | +| Structure v1.1 (fin) | `microsoft/table-transformer-structure-recognition-v1.1-fin` | 125 | 6 + 1 | +| Structure v1.1 (pub) | `microsoft/table-transformer-structure-recognition-v1.1-pub` | 125 | 6 + 1 | + +The v1.1 checkpoints store the backbone under the native Hugging Face ResNet naming rather +than the timm-style layout of the two originals; the loader handles both automatically. + +## Basic Usage: Table Detection + +```python +from PIL import Image +from zeromodels.models.table_transformer import ( + TableTransformerDetect, + TableTransformerImageProcessor, +) +from zeromodels.models.table_transformer.table_transformer_image_processor import ( + TABLE_DETECTION_LABELS, +) + +model = TableTransformerDetect.from_weights("hf:microsoft/table-transformer-detection") +processor = TableTransformerImageProcessor() + +image = Image.open("page.jpg").convert("RGB") +inputs = processor(image) + +output = model(inputs["pixel_values"], training=False) +# output["logits"]: (1, 15, 3) +# output["pred_boxes"]: (1, 15, 4) + +results = processor.post_process_object_detection( + output, + threshold=0.9, + target_sizes=[(image.height, image.width)], + label_names=TABLE_DETECTION_LABELS, +)[0] + +for score, name, box in sorted( + zip(results["scores"], results["label_names"], results["boxes"]), + key=lambda d: -float(d[0]), +): + print(f"{name:14s} {float(score):.3f} {[round(float(v)) for v in box]}") +``` + +Each kept detection is a table region in pixel coordinates. Crop the page to those boxes to +get the table images for the next stage. + +## Table-Structure Recognition + +Structure recognition takes a **cropped table** image and returns its rows, columns, and +header / spanning cells. Same call, a different checkpoint, and the default label set already +matches: + +```python +from PIL import Image +from zeromodels.models.table_transformer import ( + TableTransformerDetect, + TableTransformerImageProcessor, +) + +model = TableTransformerDetect.from_weights( + "hf:microsoft/table-transformer-structure-recognition-v1.1-all" +) +processor = TableTransformerImageProcessor() + +table = Image.open("cropped_table.jpg").convert("RGB") +output = model(processor(table)["pixel_values"], training=False) +# output["logits"]: (1, 125, 7) +# output["pred_boxes"]: (1, 125, 4) + +cells = processor.post_process_object_detection( + output, threshold=0.6, target_sizes=[(table.height, table.width)] +)[0] +# cells["label_names"] are drawn from the six structure classes: +# table, table column, table row, table column header, +# table projected row header, table spanning cell +``` + +Intersecting the predicted rows and columns reconstructs the cell grid; the header and +spanning-cell predictions then tag which cells are headers or span multiple rows/columns. + +## Data Format + +**Both the model and the processor support `channels_last` and `channels_first`.** They pick +the format differently: + +| | How it picks the format | +|---|---| +| Processor | A `data_format` kwarg, per instance. `None` (the default) resolves to `keras.config.image_data_format()`. | +| Model | Reads `keras.config.image_data_format()` when it is **constructed**. There is no `data_format` argument. | + +Set the global format before constructing the model, and both sides agree: + +```python +import keras + +keras.config.set_image_data_format("channels_first") +model = TableTransformerDetect.from_weights("hf:microsoft/table-transformer-detection") +# now expects (B, 3, H, W) +``` + +Detections are identical under either layout; only the tensor shape changes. The +post-processor emits `xyxy` pixel boxes and class indices, which have no channel axis, so it +takes no `data_format` kwarg. + +## Loading Fine-tuned and Community Weights + +Any Hugging Face repo whose `model_type` is `"table-transformer"` loads with the `hf:` +prefix, including the official `microsoft/table-transformer-*` checkpoints and arbitrary +fine-tunes: + +```python +from zeromodels.models.table_transformer import TableTransformerDetect + +model = TableTransformerDetect.from_weights("hf:/my-table-transformer-finetune") + +# Architecture only, randomly initialized +model = TableTransformerDetect.from_weights( + "hf:microsoft/table-transformer-detection", load_weights=False +) +``` + +No shape arguments are needed. The architecture is read from the repo's `config.json` and +mapped onto the constructor: `d_model`, `encoder_attention_heads`, `encoder_layers`, +`decoder_layers`, `encoder_ffn_dim`, `num_queries`, and the label count. `TableTransformerModel` +accepts `hf:` the same way, warm-starting the backbone and transformer from the detector's +weights. diff --git a/tests/base/model_test_registry.py b/tests/base/model_test_registry.py index 46d19d47..c6da372c 100644 --- a/tests/base/model_test_registry.py +++ b/tests/base/model_test_registry.py @@ -745,6 +745,21 @@ "pred_masks": (2, 10, 8, 8), }, }, + "TableTransformerDetect": { + "module": "zeromodels.models.table_transformer", + "model_cls": "TableTransformerDetect", + "model_type": "object_detection", + "init_kwargs": { + "image_size": 32, + "num_classes": 3, + "num_queries": 10, + }, + "input_shape": (2, 32, 32, 3), + "expected_output_shape": { + "logits": (2, 10, 3), + "pred_boxes": (2, 10, 4), + }, + }, "RTDETRDetect": { "module": "zeromodels.models.rt_detr", "model_cls": "RTDETRDetect", diff --git a/website/mkdocs.yml b/website/mkdocs.yml index 5d449ba3..fa8dc5a6 100644 --- a/website/mkdocs.yml +++ b/website/mkdocs.yml @@ -190,6 +190,7 @@ nav: - SAM: sam.md - SAM 2: sam2.md - SegFormer: segformer.md + - Table Transformer: table_transformer.md - TIPSv2-DPT: tipsv2_dpt.md - Audio models: - Granite Speech: granite_speech.md diff --git a/zeromodels/models/__init__.py b/zeromodels/models/__init__.py index 4d3ca1ed..e6b88ae7 100644 --- a/zeromodels/models/__init__.py +++ b/zeromodels/models/__init__.py @@ -121,6 +121,7 @@ swin, swinv2, t5, + table_transformer, tipsv2, tipsv2_dpt, vgg, diff --git a/zeromodels/models/rf_detr/rf_detr_image_processor.py b/zeromodels/models/rf_detr/rf_detr_image_processor.py index 0002bd76..a9946c6f 100644 --- a/zeromodels/models/rf_detr/rf_detr_image_processor.py +++ b/zeromodels/models/rf_detr/rf_detr_image_processor.py @@ -1,8 +1,7 @@ -from typing import Dict, List, Optional, Tuple, Union +from typing import Dict, List, Optional, Tuple import keras -import numpy as np -from PIL import Image +from keras import ops from zeromodels.base import BaseImageProcessor from zeromodels.utils.labels_util import COCO_91_CLASSES @@ -86,14 +85,10 @@ def variant_size(variant: Optional[str]) -> Dict[str, int]: """ return {"height": 560, "width": 560} - def __call__( - self, image: Union[str, np.ndarray, Image.Image, List] - ) -> Dict[str, Union[keras.KerasTensor, np.ndarray]]: + def __call__(self, image) -> Dict[str, keras.KerasTensor]: return self.call(image) - def call( - self, image: Union[str, np.ndarray, Image.Image, List] - ) -> Dict[str, Union[keras.KerasTensor, np.ndarray]]: + def call(self, image) -> Dict[str, keras.KerasTensor]: if isinstance(image, (list, tuple)): return self.stack_images(image) image, _, _, _ = self.preprocess_image( @@ -110,7 +105,7 @@ def call( image = image * (self.rescale_factor * 255) if not self.return_tensor: - image = keras.ops.convert_to_numpy(image) + image = ops.convert_to_numpy(image) return {"pixel_values": image} @@ -155,7 +150,7 @@ def rf_detr_post_process_object_detection( num_top_queries: int = 300, target_sizes: Optional[List[Tuple[int, int]]] = None, label_names: Optional[List[str]] = None, -) -> List[Dict[str, np.ndarray]]: +) -> list: """Post-process raw RF-DETR outputs into usable detections. RF-DETR uses sigmoid activation (not softmax) and does not have a @@ -199,34 +194,29 @@ def rf_detr_post_process_object_detection( print(f"{name}: {score:.2f}") ``` """ - logits = keras.ops.convert_to_numpy(outputs["logits"]) - boxes = keras.ops.convert_to_numpy(outputs["pred_boxes"]) + logits = ops.convert_to_tensor(outputs["logits"]) + boxes = ops.convert_to_tensor(outputs["pred_boxes"]) batch_size = logits.shape[0] num_classes = logits.shape[2] - probs = sigmoid(logits) + probs = ops.sigmoid(logits) results = [] for i in range(batch_size): - prob_i = probs[i] - boxes_i = boxes[i] - - flat_scores = prob_i.reshape(-1) + flat_scores = ops.reshape(probs[i], (-1,)) num_select = min(num_top_queries, flat_scores.shape[0]) - topk_indices = np.argpartition(flat_scores, -num_select)[-num_select:] - topk_indices = topk_indices[np.argsort(-flat_scores[topk_indices])] - - topk_scores = flat_scores[topk_indices] - topk_box_indices = topk_indices // num_classes - topk_labels = topk_indices % num_classes + topk_scores, topk_indices = ops.top_k(flat_scores, num_select) - topk_boxes = boxes_i[topk_box_indices] + topk_box_indices = ops.floor_divide(topk_indices, num_classes) + topk_labels = ops.mod(topk_indices, num_classes) - keep = topk_scores > threshold - scores = topk_scores[keep] - labels = topk_labels[keep] - kept_boxes = topk_boxes[keep] + keep = ops.nonzero(ops.greater(topk_scores, threshold))[0] + scores = ops.take(topk_scores, keep, axis=0) + labels = ops.take(topk_labels, keep, axis=0) + kept_boxes = ops.take( + boxes[i], ops.take(topk_box_indices, keep, axis=0), axis=0 + ) cx, cy, w, h = ( kept_boxes[:, 0], @@ -234,19 +224,23 @@ def rf_detr_post_process_object_detection( kept_boxes[:, 2], kept_boxes[:, 3], ) - x_min = cx - w / 2 - y_min = cy - h / 2 - x_max = cx + w / 2 - y_max = cy + h / 2 - xyxy_boxes = np.stack([x_min, y_min, x_max, y_max], axis=-1) + xyxy_boxes = ops.stack( + [cx - w / 2, cy - h / 2, cx + w / 2, cy + h / 2], axis=-1 + ) if target_sizes is not None: img_h, img_w = target_sizes[i] - scale = np.array([img_w, img_h, img_w, img_h], dtype=np.float32) + scale = ops.convert_to_tensor([img_w, img_h, img_w, img_h], dtype="float32") xyxy_boxes = xyxy_boxes * scale - _names = label_names if label_names is not None else COCO_91_CLASSES - mapped_names = [_names[l] if l < len(_names) else f"class_{l}" for l in labels] + scores = ops.convert_to_numpy(scores) + labels = ops.convert_to_numpy(labels) + xyxy_boxes = ops.convert_to_numpy(xyxy_boxes) + + names = label_names if label_names is not None else COCO_91_CLASSES + mapped_names = [ + names[label] if label < len(names) else f"class_{label}" for label in labels + ] results.append( { @@ -267,7 +261,7 @@ def rf_detr_post_process_instance_segmentation( target_sizes: Optional[List[Tuple[int, int]]] = None, label_names: Optional[List[str]] = None, mask_threshold: float = 0.5, -) -> List[Dict[str, np.ndarray]]: +) -> list: """Post-process ``RFDETRInstanceSegment`` outputs into instance masks + scores/labels/boxes. Mirrors :func:`rf_detr_post_process_object_detection`'s sigmoid + flat top-k @@ -294,78 +288,81 @@ def rf_detr_post_process_instance_segmentation( ``"label_names"``, ``"boxes"`` (xyxy), and ``"masks"``: a boolean array of shape ``(K, H, W)`` for each image. """ - logits = keras.ops.convert_to_numpy(outputs["logits"]) - boxes = keras.ops.convert_to_numpy(outputs["pred_boxes"]) - mask_logits = keras.ops.convert_to_numpy(outputs["pred_masks"]).astype(np.float32) + logits = ops.convert_to_tensor(outputs["logits"]) + boxes = ops.convert_to_tensor(outputs["pred_boxes"]) + mask_logits = ops.cast(ops.convert_to_tensor(outputs["pred_masks"]), "float32") batch_size = logits.shape[0] num_classes = logits.shape[2] - probs = sigmoid(logits) + probs = ops.sigmoid(logits) results = [] for i in range(batch_size): - prob_i = probs[i] - boxes_i = boxes[i] - masks_i = mask_logits[i] - - flat_scores = prob_i.reshape(-1) + flat_scores = ops.reshape(probs[i], (-1,)) num_select = min(num_top_queries, flat_scores.shape[0]) - topk_indices = np.argpartition(flat_scores, -num_select)[-num_select:] - topk_indices = topk_indices[np.argsort(-flat_scores[topk_indices])] - - topk_scores = flat_scores[topk_indices] - topk_query_indices = topk_indices // num_classes - topk_labels = topk_indices % num_classes - - keep = topk_scores > threshold - q_idx = topk_query_indices[keep] - labels = topk_labels[keep] - scores = topk_scores[keep] - - seen, sel = set(), [] - for j in range(len(q_idx)): - if int(q_idx[j]) not in seen: - seen.add(int(q_idx[j])) - sel.append(j) - q_idx = q_idx[sel] - labels = labels[sel] - scores = scores[sel] - - kept_boxes = boxes_i[q_idx] + topk_scores, topk_indices = ops.top_k(flat_scores, num_select) + topk_query = ops.floor_divide(topk_indices, num_classes) + topk_labels = ops.mod(topk_indices, num_classes) + + # Keep the above-threshold pairs, then, since the scores are sorted + # descending, keep only the first (highest-scoring) occurrence of each + # query: a vectorized dedup via a strictly-lower-triangular equality count. + above = ops.greater(topk_scores, threshold) + n = topk_query.shape[0] + eq = ops.equal(ops.expand_dims(topk_query, 1), ops.expand_dims(topk_query, 0)) + earlier = ops.tril(ops.ones((n, n)), k=-1) + prior = ops.sum(ops.cast(eq, "int32") * ops.cast(earlier, "int32"), axis=1) + first = ops.equal(prior, 0) + keep = ops.nonzero(ops.logical_and(above, first))[0] + + q_idx = ops.take(topk_query, keep, axis=0) + labels = ops.take(topk_labels, keep, axis=0) + scores = ops.take(topk_scores, keep, axis=0) + + kept_boxes = ops.take(boxes[i], q_idx, axis=0) cx, cy, w, h = ( kept_boxes[:, 0], kept_boxes[:, 1], kept_boxes[:, 2], kept_boxes[:, 3], ) - xyxy_boxes = np.stack([cx - w / 2, cy - h / 2, cx + w / 2, cy + h / 2], axis=-1) + xyxy_boxes = ops.stack( + [cx - w / 2, cy - h / 2, cx + w / 2, cy + h / 2], axis=-1 + ) if target_sizes is not None: img_h, img_w = target_sizes[i] - xyxy_boxes = xyxy_boxes * np.array( - [img_w, img_h, img_w, img_h], dtype=np.float32 - ) + scale = ops.convert_to_tensor([img_w, img_h, img_w, img_h], dtype="float32") + xyxy_boxes = xyxy_boxes * scale - if q_idx.size > 0: - km = masks_i[q_idx][..., None] # (K, mh, mw, 1) + num_kept = int(keep.shape[0]) + if num_kept > 0: + km = ops.expand_dims(ops.take(mask_logits[i], q_idx, axis=0), -1) if target_sizes is not None: img_h, img_w = target_sizes[i] - km = keras.ops.convert_to_numpy( - keras.ops.image.resize( - km, - (img_h, img_w), - interpolation="bilinear", - data_format="channels_last", - ) + km = ops.image.resize( + km, + (img_h, img_w), + interpolation="bilinear", + data_format="channels_last", ) - km = km[..., 0] - masks_bin = (1.0 / (1.0 + np.exp(-km))) > mask_threshold + masks_bin = ops.greater(ops.sigmoid(km[..., 0]), mask_threshold) else: - mh, mw = target_sizes[i] if target_sizes is not None else masks_i.shape[1:] - masks_bin = np.zeros((0, mh, mw), dtype=bool) + if target_sizes is not None: + mh, mw = target_sizes[i] + else: + mh, mw = mask_logits.shape[2], mask_logits.shape[3] + masks_bin = ops.zeros((0, mh, mw), dtype="bool") - _names = label_names if label_names is not None else COCO_91_CLASSES - mapped_names = [_names[l] if l < len(_names) else f"class_{l}" for l in labels] + scores = ops.convert_to_numpy(scores) + labels = ops.convert_to_numpy(labels) + xyxy_boxes = ops.convert_to_numpy(xyxy_boxes) + masks_bin = ops.convert_to_numpy(masks_bin) + + names = label_names if label_names is not None else COCO_91_CLASSES + mapped_names = [ + names[label] if label < len(names) else f"class_{label}" for label in labels + ] results.append( { @@ -378,12 +375,3 @@ def rf_detr_post_process_instance_segmentation( ) return results - - -def sigmoid(x: np.ndarray) -> np.ndarray: - """Numerically stable sigmoid.""" - return np.where( - x >= 0, - 1.0 / (1.0 + np.exp(-x)), - np.exp(x) / (1.0 + np.exp(x)), - ) diff --git a/zeromodels/models/table_transformer/__init__.py b/zeromodels/models/table_transformer/__init__.py new file mode 100644 index 00000000..da31c6c4 --- /dev/null +++ b/zeromodels/models/table_transformer/__init__.py @@ -0,0 +1,10 @@ +from .table_transformer_config import TableTransformerConfig +from .table_transformer_image_processor import TableTransformerImageProcessor +from .table_transformer_model import TableTransformerDetect, TableTransformerModel + +__all__ = [ + "TableTransformerConfig", + "TableTransformerModel", + "TableTransformerDetect", + "TableTransformerImageProcessor", +] diff --git a/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py b/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py new file mode 100644 index 00000000..b393a369 --- /dev/null +++ b/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py @@ -0,0 +1,314 @@ +import re +from typing import Dict + +import keras +import numpy as np +from tqdm import tqdm + +from zeromodels.conversion.exceptions import ( + WeightMappingError, + WeightShapeMismatchError, +) +from zeromodels.conversion.weight_transfer_util import ( + compare_keras_torch_names, + transfer_nested_layer_weights, + transfer_weights, +) +from zeromodels.models.table_transformer import TableTransformerDetect + +WEIGHT_NAME_MAPPING: Dict[str, str] = { + "backbone_layer": "model.backbone.model.layer", + "_": ".", + "downsample.conv": "downsample.0", + "downsample.bn": "downsample.1", + "backbone.conv1": "model.backbone.model.conv1", + "backbone.bn1": "model.backbone.model.bn1", + "kernel": "weight", + "gamma": "weight", + "beta": "bias", + "moving.mean": "running_mean", + "moving.variance": "running_var", +} + + +def transfer_table_transformer_weights(keras_model, state_dict): + state_dict = { + k.replace("model.backbone.conv_encoder.model.", "model.backbone.model."): v + for k, v in state_dict.items() + } + + is_timm = "model.backbone.model.conv1.weight" in state_dict + + backbone_layers = [ + layer for layer in keras_model.layers if layer.name.startswith("backbone_") + ] + backbone_weights = [] + for layer in backbone_layers: + for weight in layer.trainable_weights + layer.non_trainable_weights: + backbone_weights.append((weight, layer.name, weight.name)) + + for keras_weight, layer_name, weight_name in tqdm( + backbone_weights, desc="Transferring backbone weights" + ): + keras_weight_name = f"{layer_name}_{weight_name}" + # timm layout rewrites the flattened name; HF-native builds the path per module. + if is_timm: + torch_weight_name = keras_weight_name + for old, new in WEIGHT_NAME_MAPPING.items(): + torch_weight_name = torch_weight_name.replace(old, new) + else: + sub = "convolution" if "conv" in layer_name else "normalization" + suffix = WEIGHT_NAME_MAPPING[weight_name.replace("_", ".")] + if layer_name in ("backbone_conv1", "backbone_bn1"): + torch_weight_name = ( + f"model.backbone.model.embedder.embedder.{sub}.{suffix}" + ) + else: + match = re.match(r"backbone_layer(\d+)_(\d+)_(.+)", layer_name) + stage = int(match.group(1)) - 1 + block = int(match.group(2)) + tail = match.group(3) + if tail in ("conv1", "bn1"): + path = f"encoder.stages.{stage}.layers.{block}.layer.0.{sub}" + elif tail in ("conv2", "bn2"): + path = f"encoder.stages.{stage}.layers.{block}.layer.1.{sub}" + else: # downsample_conv / downsample_bn + path = f"encoder.stages.{stage}.layers.{block}.shortcut.{sub}" + torch_weight_name = f"model.backbone.model.{path}.{suffix}" + + if torch_weight_name not in state_dict: + raise WeightMappingError(keras_weight_name, torch_weight_name) + + torch_weight = state_dict[torch_weight_name] + if not compare_keras_torch_names( + keras_weight_name, keras_weight, torch_weight_name, torch_weight + ): + raise WeightShapeMismatchError( + keras_weight_name, + keras_weight.shape, + torch_weight_name, + torch_weight.shape, + ) + transfer_weights(keras_weight_name, keras_weight, torch_weight) + + input_proj = keras_model.get_layer("input_projection") + conv_w = state_dict["model.input_projection.weight"] + input_proj.weights[0].assign(np.transpose(conv_w, (2, 3, 1, 0))) + input_proj.weights[1].assign(state_dict["model.input_projection.bias"]) + + query_layer = keras_model.get_layer("query_position_embeddings") + query_layer.weights[0].assign(state_dict["model.query_position_embeddings.weight"]) + + ln_mapping = {"gamma": "weight", "beta": "bias"} + dense_mapping = {"kernel": "weight"} + + for i in tqdm( + range(keras_model.num_encoder_layers), desc="Transferring encoder weights" + ): + hf_prefix = f"model.encoder.layers.{i}" + k_prefix = f"encoder_layers_{i}" + + sa_mapping = {f"{k_prefix}_self_attn_": "", "kernel": "weight"} + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_self_attn"), + state_dict, + f"{hf_prefix}.self_attn", + name_mapping=sa_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_self_attn_layer_norm"), + state_dict, + f"{hf_prefix}.self_attn_layer_norm", + name_mapping=ln_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_fc1"), + state_dict, + f"{hf_prefix}.fc1", + name_mapping=dense_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_fc2"), + state_dict, + f"{hf_prefix}.fc2", + name_mapping=dense_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_final_layer_norm"), + state_dict, + f"{hf_prefix}.final_layer_norm", + name_mapping=ln_mapping, + ) + + transfer_nested_layer_weights( + keras_model.get_layer("encoder_layernorm"), + state_dict, + "model.encoder.layernorm", + name_mapping=ln_mapping, + ) + + for i in tqdm( + range(keras_model.num_decoder_layers), desc="Transferring decoder weights" + ): + hf_prefix = f"model.decoder.layers.{i}" + k_prefix = f"decoder_layers_{i}" + + sa_mapping = {f"{k_prefix}_self_attn_": "", "kernel": "weight"} + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_self_attn"), + state_dict, + f"{hf_prefix}.self_attn", + name_mapping=sa_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_self_attn_layer_norm"), + state_dict, + f"{hf_prefix}.self_attn_layer_norm", + name_mapping=ln_mapping, + ) + ca_mapping = {f"{k_prefix}_encoder_attn_": "", "kernel": "weight"} + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_encoder_attn"), + state_dict, + f"{hf_prefix}.encoder_attn", + name_mapping=ca_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_encoder_attn_layer_norm"), + state_dict, + f"{hf_prefix}.encoder_attn_layer_norm", + name_mapping=ln_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_fc1"), + state_dict, + f"{hf_prefix}.fc1", + name_mapping=dense_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_fc2"), + state_dict, + f"{hf_prefix}.fc2", + name_mapping=dense_mapping, + ) + transfer_nested_layer_weights( + keras_model.get_layer(f"{k_prefix}_final_layer_norm"), + state_dict, + f"{hf_prefix}.final_layer_norm", + name_mapping=ln_mapping, + ) + + transfer_nested_layer_weights( + keras_model.get_layer("decoder_layernorm"), + state_dict, + "model.decoder.layernorm", + name_mapping=ln_mapping, + ) + + transfer_nested_layer_weights( + keras_model.get_layer("class_labels_classifier"), + state_dict, + "class_labels_classifier", + name_mapping=dense_mapping, + ) + + for layer_idx in range(3): + transfer_nested_layer_weights( + keras_model.get_layer(f"bbox_predictor_{layer_idx}"), + state_dict, + f"bbox_predictor.layers.{layer_idx}", + name_mapping=dense_mapping, + ) + + +TABLE_TRANSFORMER_VARIANTS = { + "table-transformer-detection": "microsoft/table-transformer-detection", + "table-transformer-structure-recognition": ( + "microsoft/table-transformer-structure-recognition" + ), + "table-transformer-structure-recognition-v1.1-all": ( + "microsoft/table-transformer-structure-recognition-v1.1-all" + ), +} + + +def load_hf_model(hf_id, raw_config): + import transformers + + if raw_config.get("dilation") is None: + cfg = transformers.TableTransformerConfig.from_dict( + {**raw_config, "dilation": False} + ) + return transformers.TableTransformerForObjectDetection.from_pretrained( + hf_id, config=cfg + ).eval() + return transformers.TableTransformerForObjectDetection.from_pretrained(hf_id).eval() + + +if __name__ == "__main__": + import gc + import json + + import torch + from huggingface_hub import hf_hub_download + + from zeromodels.conversion.hf_download_utils import download_hf_state_dict + + torch.backends.cudnn.allow_tf32 = False + torch.backends.cuda.matmul.allow_tf32 = False + + for variant, hf_id in TABLE_TRANSFORMER_VARIANTS.items(): + print(f"\n{'=' * 60}") + print(f"Converting: {variant} <- {hf_id}") + print(f"{'=' * 60}") + + with open(hf_hub_download(hf_id, "config.json"), encoding="utf-8") as f: + hf_config = json.load(f) + + keras_model = TableTransformerDetect( + **TableTransformerDetect.config_from_hf(hf_config), + image_size=800, + ) + state = download_hf_state_dict(hf_id) + transfer_table_transformer_weights(keras_model, state) + + hf_model = load_hf_model(hf_id, hf_config) + + np.random.seed(0) + test_input = np.random.rand(1, 800, 800, 3).astype(np.float32) + mean = np.array([0.485, 0.456, 0.406]).reshape(1, 1, 1, 3) + std = np.array([0.229, 0.224, 0.225]).reshape(1, 1, 1, 3) + keras_input = ((test_input - mean) / std).astype(np.float32) + + hf_input = torch.tensor(keras_input).permute(0, 3, 1, 2) + with torch.no_grad(): + hf_out = hf_model(pixel_values=hf_input) + hf_logits = hf_out.logits.numpy() + hf_boxes = hf_out.pred_boxes.numpy() + + keras_out = keras_model(keras_input, training=False) + keras_logits = keras.ops.convert_to_numpy(keras_out["logits"]) + keras_boxes = keras.ops.convert_to_numpy(keras_out["pred_boxes"]) + + logits_diff = float(np.max(np.abs(hf_logits - keras_logits))) + boxes_diff = float(np.max(np.abs(hf_boxes - keras_boxes))) + cos = float( + np.dot(hf_logits.ravel(), keras_logits.ravel()) + / (np.linalg.norm(hf_logits.ravel()) * np.linalg.norm(keras_logits.ravel())) + ) + print(f" logits max|diff|={logits_diff:.3e} cosine={cos:.8f}") + print(f" boxes max|diff|={boxes_diff:.3e}") + + if logits_diff > 1e-3 or boxes_diff > 1e-3: + raise ValueError( + f"Parity failed for {variant} " + f"(logits {logits_diff:.3e}, boxes {boxes_diff:.3e})" + ) + + out_path = f"{variant}.weights.h5" + keras_model.save_weights(out_path) + print(f" Saved -> {out_path}") + + del keras_model, hf_model, state + keras.backend.clear_session() + gc.collect() diff --git a/zeromodels/models/table_transformer/table_transformer_config.py b/zeromodels/models/table_transformer/table_transformer_config.py new file mode 100644 index 00000000..ea9075f0 --- /dev/null +++ b/zeromodels/models/table_transformer/table_transformer_config.py @@ -0,0 +1,69 @@ +from zeromodels.base import BaseConfig + + +class TableTransformerConfig(BaseConfig): + r"""Configuration for [`TableTransformerDetect`], the Table Transformer detector. + + Table Transformer (TATR) is the DETR architecture applied to table + detection and table-structure recognition (from Microsoft's PubTables-1M). + It reuses DETR's ResNet backbone plus transformer encoder / decoder, with + two differences: the encoder and decoder layers are pre-normalized (the + LayerNorm is applied before each attention / feed-forward sub-layer) and + the encoder has an extra final LayerNorm. The backbone is a ResNet-18 + (basic blocks, 512-channel last stage), so the 1x1 input projection reduces + 512 channels to `hidden_dim`. Instantiating with the defaults yields a + configuration close to `microsoft/table-transformer-detection`. Fields + mirror the model constructor and serialize flat to a repo's `zm_config.json`. + + Args: + hidden_dim (`int`, *optional*, defaults to 256): + Dimensionality of the transformer encoder and decoder layers. + num_heads (`int`, *optional*, defaults to 8): + Number of attention heads for each attention layer in the transformer. + num_encoder_layers (`int`, *optional*, defaults to 6): + Number of encoder layers. + num_decoder_layers (`int`, *optional*, defaults to 6): + Number of decoder layers. + dim_feedforward (`int`, *optional*, defaults to 2048): + Dimension of the feed-forward ("intermediate") layer in the transformer. + dropout_rate (`float`, *optional*, defaults to 0.1): + Dropout probability in the transformer layers. + num_queries (`int`, *optional*, defaults to 15): + Number of object queries, i.e. detection slots. The maximal number of + objects [`TableTransformerDetect`] can detect in a single image. The + detection checkpoint uses 15, the structure-recognition checkpoints 125. + num_classes (`int`, *optional*, defaults to 3): + Number of object classes, including the no-object class (table detection: + 2 + 1; table-structure recognition: 6 + 1). + image_size (`int`, *optional*, defaults to 800): + Square input resolution the model is built for. + + Examples: + + ```python + >>> from zeromodels.models.table_transformer import ( + ... TableTransformerConfig, + ... TableTransformerDetect, + ... ) + + >>> # Initializing a microsoft/table-transformer-detection style configuration + >>> configuration = TableTransformerConfig() + + >>> # Initializing a model (with random weights) from that configuration + >>> model = TableTransformerDetect(configuration) + + >>> # Accessing the model configuration + >>> configuration = model.config + ```""" + + model_type = "table-transformer" + + hidden_dim: int = 256 + num_heads: int = 8 + num_encoder_layers: int = 6 + num_decoder_layers: int = 6 + dim_feedforward: int = 2048 + dropout_rate: float = 0.1 + num_queries: int = 15 + num_classes: int = 3 + image_size: int = 800 diff --git a/zeromodels/models/table_transformer/table_transformer_image_processor.py b/zeromodels/models/table_transformer/table_transformer_image_processor.py new file mode 100644 index 00000000..477ad0d0 --- /dev/null +++ b/zeromodels/models/table_transformer/table_transformer_image_processor.py @@ -0,0 +1,154 @@ +from typing import Dict, List, Optional, Tuple + +import keras +from keras import ops + +from zeromodels.base import BaseImageProcessor + +TABLE_DETECTION_LABELS = ("table", "table rotated") +TABLE_STRUCTURE_LABELS = ( + "table", + "table column", + "table row", + "table column header", + "table projected row header", + "table spanning cell", +) + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerImageProcessor(BaseImageProcessor): + """Preprocess images for Table Transformer inference. + + Use this when the model is created with ``include_normalization=False``. + Mirrors the reference Detr image processor the Table Transformer checkpoints + ship with: rescale to `[0, 1]`, resize to a square `size`, and apply + ImageNet normalization. + + Args: + size: Target size as ``{"height": H, "width": W}``. Default: + ``{"height": 800, "width": 800}``. + resample: Interpolation method (``"nearest"``, ``"bilinear"``, or + ``"bicubic"``). + do_rescale: Whether to divide pixel values by 255. + rescale_factor: Rescale factor (default ``1/255``). + do_normalize: Whether to apply ImageNet normalization. + image_mean: Per-channel mean for normalization. Default: + ``(0.485, 0.456, 0.406)``. + image_std: Per-channel std for normalization. Default: + ``(0.229, 0.224, 0.225)``. + return_tensor: If True return a Keras tensor, otherwise a numpy array. + data_format: ``"channels_first"`` / ``"channels_last"``; ``None`` + resolves to ``keras.backend.image_data_format()``. + """ + + def __init__( + self, + size: Optional[Dict[str, int]] = None, + resample: str = "bilinear", + do_rescale: bool = True, + rescale_factor: float = 1 / 255, + do_normalize: bool = True, + image_mean: Optional[Tuple[float, ...]] = None, + image_std: Optional[Tuple[float, ...]] = None, + return_tensor: bool = True, + data_format: Optional[str] = None, + **kwargs, + ): + super().__init__(**kwargs) + self.size = size if size is not None else {"height": 800, "width": 800} + self.resample = resample + self.do_rescale = do_rescale + self.rescale_factor = rescale_factor + self.do_normalize = do_normalize + self.image_mean = ( + image_mean if image_mean is not None else (0.485, 0.456, 0.406) + ) + self.image_std = image_std if image_std is not None else (0.229, 0.224, 0.225) + self.return_tensor = return_tensor + self.data_format = data_format + + def __call__(self, image) -> Dict[str, keras.KerasTensor]: + return self.call(image) + + def call(self, image) -> Dict[str, keras.KerasTensor]: + if isinstance(image, (list, tuple)): + return self.stack_images(image) + image, _, _, _ = self.preprocess_image( + image, + target_size=(self.size["height"], self.size["width"]), + image_mean=self.image_mean if self.do_normalize else None, + image_std=self.image_std if self.do_normalize else None, + rescale=self.do_rescale, + interpolation=self.resample, + antialias=False, + data_format=self.data_format, + ) + if self.do_rescale and self.rescale_factor != 1 / 255: + image = image * (self.rescale_factor * 255) + + if not self.return_tensor: + image = ops.convert_to_numpy(image) + + return {"pixel_values": image} + + def post_process_object_detection( + self, outputs, threshold=0.7, target_sizes=None, label_names=None + ): + return table_transformer_post_process_object_detection( + outputs, + threshold=threshold, + target_sizes=target_sizes, + label_names=label_names, + ) + + +def table_transformer_post_process_object_detection( + outputs: Dict[str, keras.KerasTensor], + threshold: float = 0.7, + target_sizes: Optional[List[Tuple[int, int]]] = None, + label_names: Optional[List[str]] = None, +) -> list: + logits = ops.convert_to_tensor(outputs["logits"]) + boxes = ops.convert_to_tensor(outputs["pred_boxes"]) + batch_size = logits.shape[0] + + # Drop the trailing no-object class, then reduce to one score and label per query. + probs = ops.softmax(logits, axis=-1)[:, :, :-1] + scores_all = ops.max(probs, axis=-1) + labels_all = ops.argmax(probs, axis=-1) + + cx, cy, w, h = boxes[:, :, 0], boxes[:, :, 1], boxes[:, :, 2], boxes[:, :, 3] + xyxy_all = ops.stack([cx - w / 2, cy - h / 2, cx + w / 2, cy + h / 2], axis=-1) + + results = [] + for i in range(batch_size): + keep = ops.nonzero(ops.greater(scores_all[i], threshold))[0] + scores = ops.take(scores_all[i], keep, axis=0) + labels = ops.take(labels_all[i], keep, axis=0) + xyxy_boxes = ops.take(xyxy_all[i], keep, axis=0) + + if target_sizes is not None: + img_h, img_w = target_sizes[i] + scale = ops.convert_to_tensor([img_w, img_h, img_w, img_h], dtype="float32") + xyxy_boxes = xyxy_boxes * scale + + scores = ops.convert_to_numpy(scores) + labels = ops.convert_to_numpy(labels) + xyxy_boxes = ops.convert_to_numpy(xyxy_boxes) + + names = label_names if label_names is not None else TABLE_STRUCTURE_LABELS + mapped_names = [ + names[label] if label < len(names) else f"class_{label}" for label in labels + ] + + results.append( + { + "scores": scores, + "labels": labels, + "label_names": mapped_names, + "boxes": xyxy_boxes, + } + ) + + return results diff --git a/zeromodels/models/table_transformer/table_transformer_layers.py b/zeromodels/models/table_transformer/table_transformer_layers.py new file mode 100644 index 00000000..40a5fd2a --- /dev/null +++ b/zeromodels/models/table_transformer/table_transformer_layers.py @@ -0,0 +1,321 @@ +import math + +import keras +from keras import layers, ops + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerExpandQueryEmbedding(layers.Layer): + """Expands learned query embeddings to match the batch dimension. + + Wraps a standard `Embedding` layer and broadcasts its output along a new + batch axis so that each sample in the batch receives the same set of learned + object queries. Used to produce the positional part of the object queries + fed into the Table Transformer decoder. + + Reference: + - [PubTables-1M](https://arxiv.org/abs/2110.00061) + - [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) + + Args: + num_queries: Integer, number of object queries (maximum detections per + image). + hidden_dim: Integer, embedding dimension for each query. + **kwargs: Additional keyword arguments passed to the `Layer` class. + + Input Shape: + Any tensor whose first dimension is the batch size. Only `batch_size` is + read from the input; the content is unused. + + Output Shape: + 3D tensor: `(batch_size, num_queries, hidden_dim)`. + """ + + def __init__(self, num_queries, hidden_dim, **kwargs): + super().__init__(**kwargs) + self.num_queries = num_queries + self.hidden_dim = hidden_dim + self.embedding = layers.Embedding( + num_queries, + hidden_dim, + name="embedding", + ) + + def call(self, batch_ref): + batch_size = ops.shape(batch_ref)[0] + indices = ops.arange(self.num_queries) + query_embed = self.embedding(indices) + query_embed = ops.expand_dims(query_embed, axis=0) + query_embed = ops.tile(query_embed, [batch_size, 1, 1]) + return query_embed + + def get_config(self): + config = super().get_config() + config.update( + { + "num_queries": self.num_queries, + "hidden_dim": self.hidden_dim, + } + ) + return config + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerFlattenFeatures(layers.Layer): + """Flattens spatial feature maps into a 1D token sequence. + + Reshapes a 4D spatial tensor into a 3D sequence tensor suitable for + transformer input by collapsing the height and width dimensions into a + single sequence dimension. + + Reference: + - [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) + + Args: + hidden_dim: Integer, channel dimension of the input feature map. Used as + the last dimension in the reshape target. + **kwargs: Additional keyword arguments passed to the `Layer` class. + + Input Shape: + 4D tensor: `(batch_size, height, width, hidden_dim)`. + + Output Shape: + 3D tensor: `(batch_size, height * width, hidden_dim)`. + """ + + def __init__(self, hidden_dim, **kwargs): + super().__init__(**kwargs) + self.hidden_dim = hidden_dim + + def call(self, inputs): + shape = ops.shape(inputs) + data_format = keras.config.image_data_format() + if data_format == "channels_first": + x = ops.transpose(inputs, [0, 2, 3, 1]) + return ops.reshape(x, [shape[0], shape[2] * shape[3], self.hidden_dim]) + return ops.reshape(inputs, [shape[0], shape[1] * shape[2], self.hidden_dim]) + + def get_config(self): + config = super().get_config() + config.update({"hidden_dim": self.hidden_dim}) + return config + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerPositionEmbeddingSine(layers.Layer): + """Fixed sinusoidal 2D positional embedding for spatial feature maps. + + Generates non-learnable sine/cosine positional encodings that encode the row + and column position of each spatial location. Half of the embedding + dimension encodes the vertical position and the other half the horizontal + position, using sinusoidal functions at geometrically spaced frequencies. + Matches the reference Table Transformer / DETR sine position embedding for a + full (unpadded) image, whose pixel mask cumulative sum reduces to + `arange(1, size + 1)`. + + Reference: + - [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) + + Args: + hidden_dim: Integer, total embedding dimension. Half is allocated to row + embeddings and half to column embeddings. Defaults to `256`. + temperature: Integer, temperature scaling factor for the sinusoidal + frequencies. Defaults to `10000`. + normalize: Boolean, whether to normalize position coordinates to the + range `[0, 2*pi]` before computing the encoding. Defaults to `True`. + eps: Float, small constant added during normalization to prevent + division by zero. Defaults to `1e-6`. + **kwargs: Additional keyword arguments passed to the `Layer` class. + + Input Shape: + 4D tensor: `(batch_size, height, width, channels)`. Only the spatial + dimensions are used; the channel dimension is ignored. + + Output Shape: + 4D tensor: `(batch_size, height, width, hidden_dim)`. + """ + + def __init__( + self, + hidden_dim=256, + temperature=10000, + normalize=True, + eps=1e-6, + **kwargs, + ): + super().__init__(**kwargs) + self.hidden_dim = hidden_dim + self.temperature = temperature + self.normalize = normalize + self.eps = eps + self.num_pos_feats = hidden_dim // 2 + + def call(self, inputs): + shape = ops.shape(inputs) + batch_size = shape[0] + data_format = keras.config.image_data_format() + if data_format == "channels_first": + h = shape[2] + w = shape[3] + else: + h = shape[1] + w = shape[2] + + y_embed = ops.cast( + ops.repeat( + ops.expand_dims(ops.arange(1, h + 1, dtype="float32"), axis=1), + w, + axis=1, + ), + dtype="float32", + ) + x_embed = ops.cast( + ops.repeat( + ops.expand_dims(ops.arange(1, w + 1, dtype="float32"), axis=0), + h, + axis=0, + ), + dtype="float32", + ) + + if self.normalize: + y_embed = y_embed / (y_embed[-1:, :] + self.eps) * 2 * math.pi + x_embed = x_embed / (x_embed[:, -1:] + self.eps) * 2 * math.pi + + dim_t = ops.arange(self.num_pos_feats, dtype="float32") + dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats) + + pos_x = ops.expand_dims(x_embed, axis=-1) / dim_t + pos_y = ops.expand_dims(y_embed, axis=-1) / dim_t + + pos_x_sin = ops.sin(pos_x[:, :, 0::2]) + pos_x_cos = ops.cos(pos_x[:, :, 1::2]) + pos_x = ops.reshape( + ops.stack([pos_x_sin, pos_x_cos], axis=-1), + [h, w, self.num_pos_feats], + ) + + pos_y_sin = ops.sin(pos_y[:, :, 0::2]) + pos_y_cos = ops.cos(pos_y[:, :, 1::2]) + pos_y = ops.reshape( + ops.stack([pos_y_sin, pos_y_cos], axis=-1), + [h, w, self.num_pos_feats], + ) + + pos = ops.concatenate([pos_y, pos_x], axis=-1) + pos = ops.expand_dims(pos, axis=0) + pos = ops.broadcast_to(pos, [batch_size, h, w, self.hidden_dim]) + + if data_format == "channels_first": + pos = ops.transpose(pos, [0, 3, 1, 2]) + + return pos + + def get_config(self): + config = super().get_config() + config.update( + { + "hidden_dim": self.hidden_dim, + "temperature": self.temperature, + "normalize": self.normalize, + "eps": self.eps, + } + ) + return config + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerMultiHeadAttention(layers.Layer): + """Multi-head attention layer for the Table Transformer transformer. + + Implements scaled dot-product multi-head attention with separate query, key, + and value projections followed by an output projection. The projection + naming matches the reference layout (`q_proj`, `k_proj`, `v_proj`, + `out_proj`) to simplify weight transfer from pretrained models. Used in both + the encoder (self-attention) and decoder (self-attention and + cross-attention) stages. + + Reference: + - [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) + + Args: + hidden_dim: Integer, total model dimension. Must be divisible by + `num_heads`. + num_heads: Integer, number of parallel attention heads. + dropout_rate: Float, dropout rate applied to the attention weight matrix. + Defaults to `0.0`. + block_prefix: String, name prefix for the internal dense layers + (`q_proj`, `k_proj`, `v_proj`, `out_proj`). Defaults to `""`. + **kwargs: Additional keyword arguments passed to the `Layer` class. + + Input Shape: + Three 3D tensors: + - `query`: `(batch_size, seq_len_q, hidden_dim)` + - `key`: `(batch_size, seq_len_k, hidden_dim)` + - `value`: `(batch_size, seq_len_k, hidden_dim)` + + Output Shape: + 3D tensor: `(batch_size, seq_len_q, hidden_dim)`. + """ + + def __init__( + self, + hidden_dim, + num_heads, + dropout_rate=0.0, + block_prefix="", + **kwargs, + ): + super().__init__(**kwargs) + self.hidden_dim = hidden_dim + self.num_heads = num_heads + self.head_dim = hidden_dim // num_heads + self.scale = self.head_dim**-0.5 + self.dropout_rate = dropout_rate + self.block_prefix = block_prefix + + self.q_proj = layers.Dense(hidden_dim, name=f"{block_prefix}_q_proj") + self.k_proj = layers.Dense(hidden_dim, name=f"{block_prefix}_k_proj") + self.v_proj = layers.Dense(hidden_dim, name=f"{block_prefix}_v_proj") + self.out_proj = layers.Dense(hidden_dim, name=f"{block_prefix}_out_proj") + self.attn_dropout = layers.Dropout(dropout_rate) + + def call(self, query, key, value, training=None): + batch_size = ops.shape(query)[0] + seq_len_q = ops.shape(query)[1] + seq_len_k = ops.shape(key)[1] + + q = self.q_proj(query) + k = self.k_proj(key) + v = self.v_proj(value) + + q = ops.reshape(q, [batch_size, seq_len_q, self.num_heads, self.head_dim]) + k = ops.reshape(k, [batch_size, seq_len_k, self.num_heads, self.head_dim]) + v = ops.reshape(v, [batch_size, seq_len_k, self.num_heads, self.head_dim]) + + q = ops.transpose(q, [0, 2, 1, 3]) + k = ops.transpose(k, [0, 2, 1, 3]) + v = ops.transpose(v, [0, 2, 1, 3]) + + attn_weights = ops.matmul(q, ops.transpose(k, [0, 1, 3, 2])) * self.scale + attn_weights = ops.softmax(attn_weights, axis=-1) + attn_weights = self.attn_dropout(attn_weights, training=training) + + attn_output = ops.matmul(attn_weights, v) + attn_output = ops.transpose(attn_output, [0, 2, 1, 3]) + attn_output = ops.reshape(attn_output, [batch_size, seq_len_q, self.hidden_dim]) + attn_output = self.out_proj(attn_output) + + return attn_output + + def get_config(self): + config = super().get_config() + config.update( + { + "hidden_dim": self.hidden_dim, + "num_heads": self.num_heads, + "dropout_rate": self.dropout_rate, + "block_prefix": self.block_prefix, + } + ) + return config diff --git a/zeromodels/models/table_transformer/table_transformer_model.py b/zeromodels/models/table_transformer/table_transformer_model.py new file mode 100644 index 00000000..3819d794 --- /dev/null +++ b/zeromodels/models/table_transformer/table_transformer_model.py @@ -0,0 +1,654 @@ +import keras +from keras import layers, ops, utils + +from zeromodels.base import BaseModel +from zeromodels.base.base_model import hf_num_classes +from zeromodels.conversion import copy_weights_by_path_suffix +from zeromodels.models.table_transformer.table_transformer_layers import ( + TableTransformerExpandQueryEmbedding, + TableTransformerFlattenFeatures, + TableTransformerMultiHeadAttention, + TableTransformerPositionEmbeddingSine, +) +from zeromodels.utils import standardize_input_shape + +from .table_transformer_config import TableTransformerConfig + + +def table_transformer_encoder_layer( + x, + pos_embed, + hidden_dim, + num_heads, + dim_feedforward, + dropout_rate=0.1, + block_prefix="encoder_layers_0", +): + self_attn = TableTransformerMultiHeadAttention( + hidden_dim=hidden_dim, + num_heads=num_heads, + dropout_rate=dropout_rate, + block_prefix=f"{block_prefix}_self_attn", + name=f"{block_prefix}_self_attn", + ) + residual = x + h = layers.LayerNormalization( + epsilon=1e-5, + name=f"{block_prefix}_self_attn_layer_norm", + )(x) + q = k = layers.Add(name=f"{block_prefix}_sa_qk_add")([h, pos_embed]) + attn_output = self_attn(q, k, h) + attn_output = layers.Dropout(dropout_rate, name=f"{block_prefix}_sa_drop")( + attn_output + ) + x = layers.Add(name=f"{block_prefix}_sa_residual")([residual, attn_output]) + + residual = x + h = layers.LayerNormalization( + epsilon=1e-5, + name=f"{block_prefix}_final_layer_norm", + )(x) + ff_output = layers.Dense( + dim_feedforward, + activation="relu", + name=f"{block_prefix}_fc1", + )(h) + ff_output = layers.Dropout(dropout_rate, name=f"{block_prefix}_ff_drop")(ff_output) + ff_output = layers.Dense(hidden_dim, name=f"{block_prefix}_fc2")(ff_output) + x = layers.Add(name=f"{block_prefix}_ff_residual")([residual, ff_output]) + + return x + + +def table_transformer_decoder_layer( + x, + memory, + pos_embed, + query_pos, + hidden_dim, + num_heads, + dim_feedforward, + dropout_rate=0.1, + block_prefix="decoder_layers_0", +): + self_attn = TableTransformerMultiHeadAttention( + hidden_dim=hidden_dim, + num_heads=num_heads, + dropout_rate=dropout_rate, + block_prefix=f"{block_prefix}_self_attn", + name=f"{block_prefix}_self_attn", + ) + + residual = x + h = layers.LayerNormalization( + epsilon=1e-5, + name=f"{block_prefix}_self_attn_layer_norm", + )(x) + q = k = layers.Add(name=f"{block_prefix}_sa_qk_add")([h, query_pos]) + attn_output = self_attn(q, k, h) + attn_output = layers.Dropout(dropout_rate, name=f"{block_prefix}_sa_drop")( + attn_output + ) + x = layers.Add(name=f"{block_prefix}_sa_residual")([residual, attn_output]) + + cross_attn = TableTransformerMultiHeadAttention( + hidden_dim=hidden_dim, + num_heads=num_heads, + dropout_rate=dropout_rate, + block_prefix=f"{block_prefix}_encoder_attn", + name=f"{block_prefix}_encoder_attn", + ) + + residual = x + h = layers.LayerNormalization( + epsilon=1e-5, + name=f"{block_prefix}_encoder_attn_layer_norm", + )(x) + q_cross = layers.Add(name=f"{block_prefix}_ca_q_add")([h, query_pos]) + k_cross = layers.Add(name=f"{block_prefix}_ca_k_add")([memory, pos_embed]) + cross_output = cross_attn(q_cross, k_cross, memory) + cross_output = layers.Dropout(dropout_rate, name=f"{block_prefix}_ca_drop")( + cross_output + ) + x = layers.Add(name=f"{block_prefix}_ca_residual")([residual, cross_output]) + + residual = x + h = layers.LayerNormalization( + epsilon=1e-5, + name=f"{block_prefix}_final_layer_norm", + )(x) + ff_output = layers.Dense( + dim_feedforward, + activation="relu", + name=f"{block_prefix}_fc1", + )(h) + ff_output = layers.Dropout(dropout_rate, name=f"{block_prefix}_ff_drop")(ff_output) + ff_output = layers.Dense(hidden_dim, name=f"{block_prefix}_fc2")(ff_output) + x = layers.Add(name=f"{block_prefix}_ff_residual")([residual, ff_output]) + + return x + + +def table_transformer_backbone( + input_tensor, + data_format="channels_last", + channels_axis=-1, +): + depths = [2, 2, 2, 2] + filters_list = [64, 128, 256, 512] + + x = input_tensor + x = layers.ZeroPadding2D(padding=3, data_format=data_format)(x) + x = layers.Conv2D( + 64, + 7, + strides=2, + padding="valid", + use_bias=False, + data_format=data_format, + name="backbone_conv1", + )(x) + x = layers.BatchNormalization( + axis=channels_axis, + epsilon=1e-5, + momentum=0.1, + name="backbone_bn1", + )(x) + x = layers.ReLU()(x) + x = layers.ZeroPadding2D(padding=1, data_format=data_format)(x) + x = layers.MaxPooling2D( + pool_size=3, + strides=2, + padding="valid", + data_format=data_format, + )(x) + + stage_outputs = [] + for stage_idx, depth in enumerate(depths): + filters = filters_list[stage_idx] + for block_idx in range(depth): + prefix = f"backbone_layer{stage_idx + 1}_{block_idx}" + strides = 2 if block_idx == 0 and stage_idx > 0 else 1 + residual = x + + if strides > 1: + x = layers.ZeroPadding2D(padding=1, data_format=data_format)(x) + x = layers.Conv2D( + filters, + 3, + strides=strides, + padding="valid", + use_bias=False, + data_format=data_format, + name=f"{prefix}_conv1", + )(x) + else: + x = layers.Conv2D( + filters, + 3, + strides=1, + padding="same", + use_bias=False, + data_format=data_format, + name=f"{prefix}_conv1", + )(x) + x = layers.BatchNormalization( + axis=channels_axis, + epsilon=1e-5, + momentum=0.1, + name=f"{prefix}_bn1", + )(x) + x = layers.ReLU()(x) + + x = layers.Conv2D( + filters, + 3, + strides=1, + padding="same", + use_bias=False, + data_format=data_format, + name=f"{prefix}_conv2", + )(x) + x = layers.BatchNormalization( + axis=channels_axis, + epsilon=1e-5, + momentum=0.1, + name=f"{prefix}_bn2", + )(x) + + in_channels = residual.shape[channels_axis] + if strides != 1 or in_channels != filters: + residual = layers.Conv2D( + filters, + 1, + strides=strides, + padding="valid", + use_bias=False, + data_format=data_format, + name=f"{prefix}_downsample_conv", + )(residual) + residual = layers.BatchNormalization( + axis=channels_axis, + epsilon=1e-5, + momentum=0.1, + name=f"{prefix}_downsample_bn", + )(residual) + + x = layers.Add()([x, residual]) + x = layers.ReLU()(x) + stage_outputs.append(x) + + return tuple(stage_outputs) + + +def table_transformer_encoder( + backbone_features, + hidden_dim, + num_heads, + num_encoder_layers, + dim_feedforward, + dropout_rate, +): + data_format = keras.config.image_data_format() + + projected = layers.Conv2D( + hidden_dim, + 1, + padding="valid", + data_format=data_format, + name="input_projection", + )(backbone_features) + + pos_embed = TableTransformerPositionEmbeddingSine( + hidden_dim=hidden_dim, + name="position_embedding", + )(projected) + + src = TableTransformerFlattenFeatures(hidden_dim, name="flatten_src")(projected) + pos = TableTransformerFlattenFeatures(hidden_dim, name="flatten_pos")(pos_embed) + + encoder_output = src + for i in range(num_encoder_layers): + encoder_output = table_transformer_encoder_layer( + encoder_output, + pos, + hidden_dim=hidden_dim, + num_heads=num_heads, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + block_prefix=f"encoder_layers_{i}", + ) + encoder_output = layers.LayerNormalization( + epsilon=1e-5, + name="encoder_layernorm", + )(encoder_output) + + return encoder_output, pos + + +def table_transformer_decoder( + encoder_output, + pos, + hidden_dim, + num_heads, + num_decoder_layers, + dim_feedforward, + dropout_rate, + num_queries, +): + query_embed = TableTransformerExpandQueryEmbedding( + num_queries, + hidden_dim, + name="query_position_embeddings", + )(encoder_output) + + decoder_output = ops.zeros_like(query_embed) + for i in range(num_decoder_layers): + decoder_output = table_transformer_decoder_layer( + decoder_output, + encoder_output, + pos, + query_embed, + hidden_dim=hidden_dim, + num_heads=num_heads, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + block_prefix=f"decoder_layers_{i}", + ) + + last_hidden_state = layers.LayerNormalization( + epsilon=1e-5, + name="decoder_layernorm", + )(decoder_output) + + return last_hidden_state + + +def table_transformer_functional( + inputs, + hidden_dim, + num_heads, + num_encoder_layers, + num_decoder_layers, + dim_feedforward, + dropout_rate, + num_queries, +): + data_format = keras.config.image_data_format() + channels_axis = -1 if data_format == "channels_last" else 1 + + backbone_features = table_transformer_backbone( + inputs, + data_format=data_format, + channels_axis=channels_axis, + ) + encoder_output, pos = table_transformer_encoder( + backbone_features[-1], + hidden_dim=hidden_dim, + num_heads=num_heads, + num_encoder_layers=num_encoder_layers, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + ) + last_hidden_state = table_transformer_decoder( + encoder_output, + pos, + hidden_dim=hidden_dim, + num_heads=num_heads, + num_decoder_layers=num_decoder_layers, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + num_queries=num_queries, + ) + return last_hidden_state + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerModel(BaseModel): + """Table Transformer backbone + transformer encoder/decoder (no heads). + + Matches the reference ``TableTransformerModel``: outputs the decoder + ``last_hidden_state`` with shape ``(B, num_queries, hidden_dim)``. Wraps the + functional graph built by :func:`table_transformer_functional`, a ResNet-18 + backbone, a stack of pre-norm transformer encoder layers with sine 2D + position embeddings plus a final encoder LayerNorm, and a stack of pre-norm + transformer decoder layers with learned object queries plus a final decoder + LayerNorm. Classification and bbox heads are pruned from the output graph; + use :class:`TableTransformerDetect` for full detection outputs. + + Reference: + - `PubTables-1M `_ + - `End-to-End Object Detection with Transformers + `_ + + Args: + hidden_dim: Transformer model dimension (channel width of both encoder + and decoder, and of the input projection that reduces the backbone's + 512-channel feature map). Defaults to ``256``. + num_heads: Number of attention heads in every transformer + self-attention and cross-attention layer. Defaults to ``8``. + num_encoder_layers: Number of stacked transformer encoder layers. + Defaults to ``6``. + num_decoder_layers: Number of stacked transformer decoder layers. + Defaults to ``6``. + dim_feedforward: FFN intermediate dimension inside each encoder / + decoder layer. Defaults to ``2048``. + dropout_rate: Dropout probability used in attention and FFN sub-layers. + Defaults to ``0.1``. + num_queries: Number of learned object queries, also the number of + detections produced per image. Defaults to ``15``. + image_size: Input image specification. Accepts an integer ``N`` (builds + an ``N x N x 3`` square input), a 2-tuple ``(H, W)`` (assumes 3 + channels), or a 3-tuple ordered to match the active + ``keras.config.image_data_format()``: ``(H, W, C)`` for + ``channels_last`` or ``(C, H, W)`` for ``channels_first``. Defaults + to ``800``. + input_tensor: Optional pre-existing Keras tensor to use as the model + input instead of creating a new :class:`Input`. Defaults to ``None``. + name: Model name. Defaults to ``"TableTransformerModel"``. + **kwargs: Additional keyword arguments forwarded to :class:`BaseModel`. + """ + + BASE_MODEL_CONFIG = None + BASE_WEIGHT_CONFIG = None + HF_MODEL_TYPE = "table-transformer" + + def __init__( + self, + hidden_dim=256, + num_heads=8, + num_encoder_layers=6, + num_decoder_layers=6, + dim_feedforward=2048, + dropout_rate=0.1, + num_queries=15, + image_size=800, + input_tensor=None, + name="TableTransformerModel", + **kwargs, + ): + data_format = keras.config.image_data_format() + image_size = standardize_input_shape(image_size, data_format) + + if input_tensor is None: + img_input = layers.Input(shape=image_size) + else: + if not utils.is_keras_tensor(input_tensor): + img_input = layers.Input(tensor=input_tensor, shape=image_size) + else: + img_input = input_tensor + + last_hidden_state = table_transformer_functional( + img_input, + hidden_dim=hidden_dim, + num_heads=num_heads, + num_encoder_layers=num_encoder_layers, + num_decoder_layers=num_decoder_layers, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + num_queries=num_queries, + ) + + super().__init__( + inputs=img_input, outputs=last_hidden_state, name=name, **kwargs + ) + + self.hidden_dim = hidden_dim + self.num_heads = num_heads + self.num_encoder_layers = num_encoder_layers + self.num_decoder_layers = num_decoder_layers + self.dim_feedforward = dim_feedforward + self.dropout_rate = dropout_rate + self.num_queries = num_queries + self.image_size = image_size + self.input_tensor = input_tensor + + def get_config(self): + config = super().get_config() + config.update( + { + "hidden_dim": self.hidden_dim, + "num_heads": self.num_heads, + "num_encoder_layers": self.num_encoder_layers, + "num_decoder_layers": self.num_decoder_layers, + "dim_feedforward": self.dim_feedforward, + "dropout_rate": self.dropout_rate, + "num_queries": self.num_queries, + "image_size": self.image_size, + "input_tensor": self.input_tensor, + "name": self.name, + } + ) + return config + + @classmethod + def from_config(cls, config): + return cls(**config) + + @classmethod + def config_from_hf(cls, hf_config): + return { + "hidden_dim": hf_config["d_model"], + "num_heads": hf_config["encoder_attention_heads"], + "num_encoder_layers": hf_config["encoder_layers"], + "num_decoder_layers": hf_config["decoder_layers"], + "dim_feedforward": hf_config["encoder_ffn_dim"], + "dropout_rate": hf_config["dropout"], + "num_queries": hf_config["num_queries"], + } + + @classmethod + def from_hf(cls, hf_id, load_weights=True, skip_mismatch=False, **kwargs): + model = super().from_hf(hf_id, load_weights=False, **kwargs) + if load_weights: + src = TableTransformerDetect.from_hf(hf_id, skip_mismatch=skip_mismatch) + unmatched = copy_weights_by_path_suffix(src, model) + if unmatched and not skip_mismatch: + raise ValueError( + f"{cls.__name__}.from_hf: {len(unmatched)} weight(s) not " + f"matched from the {type(src).__name__} checkpoint: " + f"{unmatched[:5]}" + ) + del src + return model + + +@keras.saving.register_keras_serializable(package="zeromodels") +class TableTransformerDetect(BaseModel): + """Table Transformer object detection model (transformer + heads). + + The same architecture serves both Table Transformer tasks; only + ``num_queries`` and ``num_classes`` differ between the checkpoints: + + - table **detection** (``microsoft/table-transformer-detection``): + ``num_queries=15``, ``num_classes=3`` (table, table rotated, no-object). + - table **structure recognition** + (``microsoft/table-transformer-structure-recognition`` and the v1.1 + variants): ``num_queries=125``, ``num_classes=7`` (table, column, row, + column header, projected row header, spanning cell, no-object). + + Output dict: + + .. code-block:: python + + out = model(images) + out["logits"] # (B, num_queries, num_classes): class logits + out["pred_boxes"] # (B, num_queries, 4): sigmoid cxcywh in [0, 1] + + Reference: + - [PubTables-1M](https://arxiv.org/abs/2110.00061) + - [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) + + Loads pretrained weights via ``TableTransformerDetect.from_weights(...)``. + See ``BaseModel.from_weights`` for the loading API. + """ + + BASE_MODEL_CONFIG = None + config_class = TableTransformerConfig + # Weights load by Hub repo id, e.g. + # from_weights("zeromodels/table-transformer-detection"), via zm_config.json + # on the repo (no url table in the package). + BASE_WEIGHT_CONFIG = None + HF_MODEL_TYPE = "table-transformer" + + def __init__( + self, + hidden_dim=256, + num_heads=8, + num_encoder_layers=6, + num_decoder_layers=6, + dim_feedforward=2048, + dropout_rate=0.1, + num_queries=15, + num_classes=3, + image_size=800, + input_tensor=None, + name="TableTransformerDetect", + **kwargs, + ): + base = TableTransformerModel( + hidden_dim=hidden_dim, + num_heads=num_heads, + num_encoder_layers=num_encoder_layers, + num_decoder_layers=num_decoder_layers, + dim_feedforward=dim_feedforward, + dropout_rate=dropout_rate, + num_queries=num_queries, + image_size=image_size, + input_tensor=input_tensor, + name=f"{name}_model", + ) + last_hidden_state = base.output + + logits = layers.Dense( + num_classes, + name="class_labels_classifier", + )(last_hidden_state) + + bbox = layers.Dense(hidden_dim, activation="relu", name="bbox_predictor_0")( + last_hidden_state + ) + bbox = layers.Dense(hidden_dim, activation="relu", name="bbox_predictor_1")( + bbox + ) + bbox = layers.Dense(4, name="bbox_predictor_2")(bbox) + bbox = layers.Activation("sigmoid", name="bbox_sigmoid")(bbox) + + outputs = {"logits": logits, "pred_boxes": bbox} + + super().__init__(inputs=base.input, outputs=outputs, name=name, **kwargs) + + self.hidden_dim = hidden_dim + self.num_heads = num_heads + self.num_encoder_layers = num_encoder_layers + self.num_decoder_layers = num_decoder_layers + self.dim_feedforward = dim_feedforward + self.dropout_rate = dropout_rate + self.num_queries = num_queries + self.num_classes = num_classes + self.image_size = base.image_size + self.input_tensor = input_tensor + + def get_config(self): + config = super().get_config() + config.update( + { + "hidden_dim": self.hidden_dim, + "num_heads": self.num_heads, + "num_encoder_layers": self.num_encoder_layers, + "num_decoder_layers": self.num_decoder_layers, + "dim_feedforward": self.dim_feedforward, + "dropout_rate": self.dropout_rate, + "num_queries": self.num_queries, + "num_classes": self.num_classes, + "image_size": self.image_size, + "input_tensor": self.input_tensor, + "name": self.name, + } + ) + return config + + @classmethod + def from_config(cls, config): + return cls(**config) + + @classmethod + def config_from_hf(cls, hf_config): + return { + "hidden_dim": hf_config["d_model"], + "num_heads": hf_config["encoder_attention_heads"], + "num_encoder_layers": hf_config["encoder_layers"], + "num_decoder_layers": hf_config["decoder_layers"], + "dim_feedforward": hf_config["encoder_ffn_dim"], + "dropout_rate": hf_config["dropout"], + "num_queries": hf_config["num_queries"], + "num_classes": hf_num_classes(hf_config) + 1, + } + + @classmethod + def transfer_from_hf(cls, keras_model, hf_state_dict): + from .convert_table_transformer_hf_to_keras import ( + transfer_table_transformer_weights, + ) + + transfer_table_transformer_weights(keras_model, hf_state_dict) From 56f4e8329cc4266cb1b8f864b95e3e69bccdfc77 Mon Sep 17 00:00:00 2001 From: IMvision12 Date: Sat, 29 Aug 2026 01:30:18 -0700 Subject: [PATCH 3/3] Update docs --- assets/data/attention_table2.png | Bin 0 -> 70698 bytes assets/data/attention_table3.png | Bin 0 -> 78963 bytes assets/table_transformer_batch_output.jpg | Bin 0 -> 335761 bytes assets/table_transformer_output.jpg | Bin 0 -> 212396 bytes docs/table_transformer.md | 151 +++++++++++++----- .../regnet/convert_regnet_hf_to_keras.py | 15 -- .../convert_table_transformer_hf_to_keras.py | 9 +- 7 files changed, 120 insertions(+), 55 deletions(-) create mode 100644 assets/data/attention_table2.png create mode 100644 assets/data/attention_table3.png create mode 100644 assets/table_transformer_batch_output.jpg create mode 100644 assets/table_transformer_output.jpg diff --git a/assets/data/attention_table2.png b/assets/data/attention_table2.png new file mode 100644 index 0000000000000000000000000000000000000000..8ec5447869f6bf43a12b5b31ea5a348e77d5909c GIT binary patch literal 70698 zcma&OcQ}{*|2KXb*(+p3R-Xez%rY~Nb$41_ zm?+M6&-cq46KWgvosRkN!F1=&XTN{{{`Jdc)22=5&YhE`d3^ZPnKOmutk?dB$~ruMh1(5c3(y{Bhwe$0ZK zo7>CFi_kuH?3l6fwOhB?>5usN`rf*8M^a3Tg@%&Q-oKxbpPye#D|92&_UO^9jEw3x zZ#ufV#3Ur>q7rW0xY6Bh?c+0h_wL=q#Ke~`U#_gINLoBQUh3`e?v{Apno9XIRaMn} z`}Wm0G*I_hcM-pgAHR5UD=zMUi3tOPf|Q+8T3XuPy?dWOe?HB+Rnt|myEETzhp=$u zrAx^ryLa!Vqos9FQog;<)62_6SteMWF>rk2&FQyIO#{2At(*LFa&nqlT8 z!^51LH;0#rNlV|peY@f1r_s6E+S-o~4CrZTgG+cWME<-}>;1W-b$8LU_DJh4t+y6+ z_Dg?$zP~ML@x7-1;R;o7U84qI5bySkQ#ZrGZd zGRfc{W?I^>FFn5 zoqzmTti0g$>+a4@|K&eFwVobv9jE-rnXVc9{KbphoScuJKHZgdAWt?CVZB1nxzpFr z@8`h4p5SP00hTINJ)w`awS#Ma7x5@0BqYYi$9L`8l^}Ycw<>hQyY>D8*>h8tzHk!} ztqTiMN=kR|1o!Xv?0(^P@#4kDov4(-l5o@P#>U3%tgLf>emRdHo7_`B|Go5#R*BJD z)jb0E6XbHwwL@?haJ2&Z9RK4NJ7`J2#Bw>lVdILM%ZU^7eW4p`fe%+ZuS5757~qZ`S<(RrEd6L zB>fdiN9XWdHqu|YPUEUbD(A3}PhDL!A?&`Y+w2~GbnRcfUslF*oy)8oe`-ee%9Sg$ z%*?GVEe*ou<>fbT-lU_WV`5_Z^XE^}_r^w1LBVjHOoBkgOG`_qrKWP7dYYTdKtr=M zJwQ>HLZQ2Ve@kEAMtk-FrPIC5Z{LRLczRCka_@MYlT&jaC-xer433O`%+?bpP87Sf zXE`WO_C-H?w$s@7eWl;r{5&(irh405PY(~<${?%5hlK?NKk~2P(@ytQt~Diy&i-nl zsC$D`6dV+E=+GevNl8(Yr0VzYpWeTJKQr^p(3=?lsorq@+V^*4=;`V6^75)K6t~{p zB`GZYu(FbmsBUTTbafs1{rlbf_ur1S9F~}GPF7f)?Ae~sgrni-=hvRK-^a%%Mg9a` z78?r-%eHO%MG_q1BO;t?BWd5gd#B*i+}7DS_24UN`@+Kb86O`WwR7WPamlf`(^|Zq zo}NTlN(xW1$xa!W(1r2jd-wPV`_5-J0mUgwr`N0U#mF;JfN|X!UmWf2wS`%aRet>Z z8SQ9za8UllJ9d+nt}ZU3z`ln3*H$4RA%d9dt>F3eU{ynq^$HOd!=qGrepWZ=pqO4w*9@n0*<1HZpKjb`R|DeXS_A@%FGFSdsck@rpQ*|R6O zGc_ee&F}Z&y?Yy8yigPqOlbPMFtMG5M$LaRvXP#ak#Q5@efI3pqel~O-6{{58O*O* zCnu7UlQ&gq}E0trp1#|Y&Nt;=W>Rz)rj4fXYU zM0Jv!ldRF+y_YgG1=l)H)*nfj+te_tcX$ zE-Yy0pX1}>BeVkp1NnEcUC|R4&p})4{PIQ4qr2FhljtA$_#jDGLt`5uASQOXFYVH$ zO@w{VYrkNA9V@G^KbjK0efu^_LAIQRW1UX$@C?;O$HldN|ISNbWK?Io$zAQ~7N8^_ z82?(dmJ<^l9i5&Y8b&=6t&`o3f$-Oi3w7k59ip!}Gc$wl_+wx|<@_IEH8r)mj`^`p ze92dNd7iRmG<0;Tc(VL-=v7ZG@)u@jc}BkUrt_R^y{GZz%a>=*o;@&#bLo2FKV?fs zMkXVZk2BhPZl3^4qLdXmLBq^E~|uN?rNa4gJoY<6vRI(Ft6c z8@(fAM@dO(vVT9mS)tuQv0IlfU&djM;n(8Z*IRL+v#ZPX#EC8Z{OPxDJ$&-y)X9_4 zqwS+}KYlpx-u;qW!A0B1!NI}Naq!8Jr_YOuFu|9Xmo4(FFD<^#XdgY0uDRdXm`BMg zH9WlLp;1DhS|ppODM2L4*zMf0pk!`$55$jHdU+`z!V z%*@QsueiK?b!lcOGhbg%uO6jcR#rCfx$FMkYs$)8eQz6MxAABMzIgpQu&;uV5QsPA z*9?+XP@q_Q@bV=G(?&JzRw~L(o3an2^YQSE4Gp0Uv>n^gmN7Lx9@&5vaN`Dx#O){d z@5_g*1_Tx1Mrh)AC@Cpz*>XGNB})vcBsSMH#_{Xw>NYeqY}>Xi`eCh%U8Oo6q~Q}C zhFi6@ItB)fa!zk}H3H{QN@%T{oMg-1PO|tjv%3oIQK^@L~NpzPv||Hubd! zJU;vz{gaH?x^-*Cwg-86(k@1SmzVP_3w3mLoqoQ%jhl@du{hNio$}WC5Bkm0^0NPU zS50H1(uD;NvFvuznMbJ&@if0VbMoXc%4i^L(EmINXSg+ePgN7f!n0zG6%7fKROQXY z^k{pwrUc52ny6k*!)#7gIQik8#syqnQ&ZEolGBaur`+9VXJ-`{$b+NFS||k3N^TSc z%s3L&_~{*a$4Ua{PdPa`?cBMOlarHbsuNR$AoTX`{rjw?vy+pM4Ov|}u~7%Cq^({3 z@#E(FmtH-pMD>R>wF|j=Iy#PGvEy+OU#BQPb#%OW^F~BKfauiidF7K`S-IX{6G0Ho z)aFNzc2rjrf19pukt7HVqe~6V%_c-xYU=T$M>*yWZqo`W2X@H{o&SA=YHA0NkeAow z^t89-@z=iMgn*I~Cr2EwO6`XavFFcV_89Nmw-8{~b^Q${Th%v;&6_vlssR*}>fgMH zN=w_u_bY;$Sx--|V85xUX;MkfvuBf!4?YNdx-hTw^nGh<{?yap(NB+l{rZ)fnuhfi%p+#UZ`a^T33BX|G_rLSITod5F!&?kaIRuhoeuuHr>7^W z-3Tn<>eYP~78X7}MQDeay3xmNYzBI|zkcP$QQorUgqvFvN@VGZ!bLuYA>O+OUcNb^wifse3*Twan#7z81viB%*$yE)NR+R z+t&4QHhRkZ0XW=GouWF-gUNpVevO%D-%65GJ!lN3jIput31{bi30E{uKD!Nhd3nr2 ze3SF%&j(N4FDjay9d4zfq6!e4i!j>1|B_@E?$5^ZaQgK0w9oK|{VBWi(y70-wGoV^ z>&GW>D!p?br9Xc1gq%PT%9+Q7|Nec7>mrMYr~&G3CkHSaoxX?f?1n(kusE4?yizqIuJg9ks>*HaRNO&J#sDL#`R>=O+7 zK!;9%Z;p3!QczM{fP%*@Yk0aHBcbb83L z&cNM$47lQ~kI&TiS3WpR;3a&~WCB32z3y7=2T1EH%+2eq{YcJJnRQdm^9=&-^Slp^hTZ*{9#w8GHjB+~?6XlN)n zu$GqAuWtjZ%d^GB#ZQms$?w`VF>G2k3zE+!@hxOOe|rY?z5 zEvbC|@?{`e?sZw&b|ImR6hm$8u#60WTb&&pI?R=ci5%l4hb4CH-hB>3r|Z;#CCZcD z4CB9l)6vrxm6W6_oMgHMMzXfH*oOvUd}n7v73YKd_c0JkLe^FWv?lvlx|a2X;+OY+ z`|_nhz4VBMh5tl%@$={Mp`ja)C|+?+?j<@%E+zi;j^K4fk#w;#7anUkVo7LN!35lpXes^{(7 zw^y%TMZ0ry4??4ao&ZXcegFPN+NV#S7OJYLsxt9wHot!lWyaOR!vk85px{iWUFa50 z&IbuJ~~`BMD)wW^SiBN!kN24Gdwd>+utJ4gB++Uxw8>p=7%7jaN0 zw6v=3-Rm7}xQ0^Qzkk1zqvP}`U_cia7tGPh%1WFd+o}+aMClO_1GMro|EUmQHy|)* zN?*Tx*`%~rU;lY%9S{oJAh^{Q4vsgwA^(i`lyMgIpbu@V%)3XWs|QRI^f~gUK8vAt z@pEv0M;dBVn=(sFy8v-aO}*Au<}WNx7Qc9bhAVZBPY~0;CebQ6C54)bN?yqiO%2cv z!xYzn0Y>`W(=nGXqmyGOK3e3t^?(cG?2K8?XQ1rCLC27g5TNWA3rhx{K7an)-FlnV3|jb+|J0z zC@&8>{eeyP(IaSjA+?W-iW06}d-~wPgNG0Gjvr5TxMJq%DUGquUUu*2 z>5pw~H&RlJGtJ(_ZlkxbV`dLX5@yYL{`?SVXH93ol2MAX#EfXjdvA7ngDwSYm{Oz!kP5!Eni+=`->(%@lADf zd^|TlKYh2S_1?Xkl1=!QJGn^$Q;52={4&1ct5>grf`U$+It6j$uV1!t$OTJZy+el& z|M>N5^7rqnv9TYTo1H%l2H;GpsJv=T*8;kIer{#2o?h1el&DAN$0?xeg77?k{J4L1 z*MGWK^qo6*il+kVL^cIT3YlpXt7yYSt#43JUt;foOn^u?2^Mq z7^TpsA_@u$(BQxh?Yratlg23JAJ0VPm}lcW9LhP2Sya9{H`)$yKx4hWwe@tv)h+lP zNWLcf_MzI|wDvsA%KDJ1l8}(#1Em2ckKutlbTFt|&vJ7WWo2;|%q%RJ>FIe){$e(h zL^r*WTp>Y0GK%V&+;`r)WYSDGmS!GQR%#~d8rs_O@k__1rBytBOp^e08_GxaqemY{ z=P!IidHt-Ekv(yy&SN1I1!)v03Q`G!H zB~O8{{Ct0BAfO3X2RZk`VQ53?Po7AGylHG{nShkGvHo`oZF6mP6_?1%%Uh6VIdYuP zc5`#Hx6jDU9dEeCndyx7gnK*HR~3DQWAkM#HYr=>!MLBOYKBY|s|XVjX0f}Xpi zr%o|-sG?$_hFMkw7DJeN`qVu*IC$T_chH%VcLCpMg|0Is>~w5SlA|ykAqd-wKz#C- zZ-M=DbG}JOXv%0$e=j8?k`&!O2{4m|FFkq{wEU;li+oTi{LURt8`I01Ygr!dwtVUF z71I>rG?dx1XV32T?EXCTCmH8@YfRLEWExHi6kl!geblU_h>;7ZO8-6=DM>C;J+oZy zyD4aS>3u^(vFEqlL|93Qzqj}F-Cgd1hZDfvI5>7nOP_dKWs+%zxkX0&CkQS{eF?x} zC5XbpLWVy$LN)y4|9zNUud0J#Xi>;oAQ@SBZmtwA5sgyJIabHr({q2O**(qRt42Tx zm-PlQ5(aV^iGDCuhN}A?UAsC!?*?_Bk=lT$Xwf;Ef0ZH-A~`0E8G^B`z>Z0unwF-b ztPHApbrkA31+kTf2TDd}eP^cybdAQwXcH0LCQ#)pljP@a?II%z?>~H~gf=uX;;Ncv zYi{ndIBCPB@e@@9U=8yEhaW;dR3ywN0H07i9?Tuurx$hQF~cIpSpF-bstmugIA2^l zI-nwg2AYlh`t=gef}|r|J_VVux6EH=H55V~jyg4AXl#s{y>j_-(%rlFl+QT6Pn4dY zpT}tgqiw6&rK-9$%8HGHU1Y)G5>BX!_ZYn^pM(||1DJOp0?YLeufFSfg6GEvCr6;jQG1ar6ez3 zI|ke@f{s;O?DzTcL2zs^lID4J$i0{b1yo$jSMJ=w1Aw~F@b;~ton5-Nfc-lN4h*!k zIr;fhd0#PJ(jne(sp6cnva*V??>kKg-~ss0>nsWfWF4eimPRKIL^)L_6Ca#gQL$|w z4dum$408G*Nz zbN@ao$cDvEaq*ga4-1UYK2e$YqELlnu3zW(`s1I*nFI zbroI+2$(xJ?yE}bw{NZ_f!|qJaO&=WnEhjTI6o(6)X4zcvw#90$g_1T5E`F)fc>dc zbVQQENz-%Z7PMRc8V+9kj-z(YpUTiTL;#2NJ#N~fs_=?T4n>b$={ zzVEK1bASF^{9p?lKRPl}?Ot1brLVux+6(}QcCgOH3QmuYVs)=*=;?=0(?dh(lUqm5^B*i9vrEDC zIw*k}ak8_^x}s(2@7=q0wevTNo|7)jGfEArGf{Rn=qwG!m?S{7AhM-rhV;u*p$uDE zE|oEjYD~I*dT0b)dg#ZG?}bhVxLN+kKo4YnewoOAo_ndL9FLBrl$%CS*w#(o){w9~ zc8r4Ptqgw8Qv9cLu&gn5U}Az%Mk~tD!qL$YSDic2(9yA5KmeS^bN=@iOQnU4@;KhE zl^z$+Q=o7d44ddV`gP+OpNoc07GH(KHF!W&QIS18g^du{zMYMgwYH|_43IFqz`5Bg z%Qk?n9l2KRsI_DF&8|ZTh2e~SHxr&7H%f0@hF;_ zXhUSsK>V}EG1Wpp`12`=Orama^1BuE#St1ChE`eT=rh$I4H(` z?ASNW;}5AJMTPBoCEIt4ENwB~#6ZR~@y3mSxslCEN{g5}rm4y^Jjb6_-K@E+EkMZ|v>qu{m;N9(2gP^V$64^Dy%uZ(_*ESUndO5pgl>J?H(^ zR9~OUeK`0>TlduN1Ih9~;a5X7fNOIHI25!hbo9U5oPO!zMe>CIh8h3`Su#ns8hHVJ$L}%#ZN&_&LLx)diSm>A`Nzn)_b9A%$yXI zkN`1`-hv)RG8xTrSefYQQ`FD@fwY2O;r=cIYv5w5#|Z}qK>>lb#a@RMX`&i_$IMv} zu%xHF&(42nY9gznrKYB?WJ8rz1ue_-rU{6OMo+lDxy}tj!*IK(u&}2xSZ&9S6ZjQ~ zTA(=iLH#8}=r|E}@PWQVxOYi_!hgvLePxw8mKJy`7e zHnrV~il4i>mT;HNvrQXLpFMXD&b_6ag2HTB2kjh1(r(YKsg0vCp5I;umpsY*i7V8~ zU|R=j<%_lzIdG4cg{1&u4K&K2rD?LAP3tYBhTd1HhYNwn^9_t1*lzmS7QoD|&s2mq z6ceouBS%M}Tp!utVCS>tt-F1^z14%3y#M@Y!o099@!A&B4!BIZzgt?<)S^pF^}CC& zmOBFZZW}S)%*y&HINqf8m6Am8MG9J+09kdP$1Ctfb2ooDn_Bl_<*8M zOiV20XyB0sF*|KuUCDsgB_yPC{P_2}I;R`M!IVO46}!P;Rn^r~qodI?)bj1B-uwU% zsbBno^I-7j-z_I6!zUMb-*A>sRtc+#V&v&~X7laqSEC0XEyrY3(<*V)z#)OrQ<9SA z4Enx)JrB^MH9iLw6et5X72p_xq3sb zvL?eDbuKNPR}-Re)pu}F* z+O%{uEYnmDT?A-*d}3m_IhkSy%s`FT!KrHgrgnB4Wf#JC-XI8%$_V`j;CEKm*7sEX zPQe+%Bd)uJc#8cxQ`Au)1Zmsy(w8sKX?q2)Wx~kY%FhsYn5%>*rI_1U)V_kzztg}N zDq3Oe;Lo4vrCZq9uV23&InWe(us>5SwH-CH-5?gH8s2pcg^ZL`1AZ~ z_WFEF%pKvNT#&Al@C6_%;p&FL$l7K#??0YcEPnSrrmg)us1;}B(P(ihY4UI`6}W2S zaPViNZzLq7sQNv*ckkZSt8^l{us^1t+^zpT4FMEdAU;OHSt7H26xRWfEO=Z@NQhit zk&Kw0okiH@3Ap~)n2hy{k?L>?yQ+`|Ni9e~$L8K5kCKz4;`D|Aj(`;L`ArN@^h^Ho zii$$FvjE`uML>L9tQ36@IzLq(E#d?|=gviK!Kk0=DJyyW`0^f7XM~Jl)`*jc&fAp* zQY}_eSO_QN!N#HL-iQg9DHaf>+uKQ3fFiv9_0j$NaIzyVUd%9f3#Xi!SGn!er&_aC zn1%>$taN<@0L(T?CifQx>V&uh{le9?^z6@fVPRnaCcvR9G<9YCo>7a%Fbc}8?>~6J zEs=RB2e2_}R4eqA`|ar-!EHeQ)sPIhfUfv^1s}7SiEc>TFcgNAl$12v`9EVY|9`VF z2;ewx;JIb)vyb^l|H*5};fZWCs)8AioSH`>|51+1nPJ)j8Cx23TQ}&p>k2UFHqg|! zmitCe)p~h&j34kYLr!M6dSC1ylmSSK4zB>VFXG~E-MW>P^$XM5;rnaBVdyJ@f`U+y zfzfblEz8xpT9-&?yQxWW>;6NB&O$_8YqI}JjYEP+5G<9Fs3@xIoGLEOTpsQ?==gxv zR22ot?W_6lWG~Tk0x+q;+ylqbUbQd7S}d82Aqr*w1`j5mak zf%XH17{^)j+;~!9p`5Lth{&7v_F2GWa&mGA7n)F~PS>Qt1N<>L`2nOPXc>L8e*@MW z=H6k6EgaBh&p|>$EXCJ)Gfn*le}_(UM`veIQ4s|J3k8P|Bn$^z)$6-5AKyKUw)W^~ zR0?V^=}Ottr`H_D(4KItNj6v21CnuC4Rem`2b}k=iVI36<@LNg0e~G4Bf&cgNZ1m^ zD{=d3XM93}`H>^rg6KD2&b(+SjJyv_F_@7bpdx5;;Id^eLFokV(+F8rmX~MkUPEWC z__6?ci{9>vtj{_#P5@Dj3zgl5s2^tCl?{kz@4Zt<>~QS-Ir!d;M8Mw#X_4jCWrc9< z{$IafUasYf3Jd?hOVqX5(R<*AbzP?DFN$uz7*Id>knzv1ue z+cr8!LNmui@yxXa`p1F*cuYDYEff?L^*U%B^#%q9Nz7*pNq1yRtrbc(>3!+RQ9AsyX<DW z-b*?_HNjevNDA6i1p0v$Y%GpVOzan6`OiX^E{#BHjV3&}8s98=t!hv214{5ATQZa;KoM5E?2}>)M=S*g4^BMX$5_W)10Ba93T5E`Ib)z#J#1dKFU zZbeW~d{Pi4GoP((FQz;~I{2x_Q6dm7q4(f6j5J;2YQnY3l@;E(b*taNT-H^Ql=)1Q zK6Vs_MC%GHF@o^<)g0acuOIZHYJJ7{&>?wANq5LMMJ_EmLt-?P_o*%Kv0Y?(LeC*( z2{ju53HXu_c}(xA)21oNX3U0yHHgT`%8H4Jg>4`@v2Ci3Z1~}|Yu6m)po|Eob%r#p5!j%^ztuGo;Y^k*dM=xO_+R82fRYlGkU(8RUWf#{V8*9#s2|l+_;?P|0`i9ui}>vm-?pKaKjDI3O=b zgdsax>-aBlTz2uIPF(ROYHCQ@&^T8Il|Hq%575~n-H_4L*tobft3r-I=%&HR1I1xxO;c2 ztzkBaze2ewL=i~bMpSwMg*SC{Q??(6v~_*?m9(^;-rjYv3y2qZ7*BF@c|S#9)>WxT z6q^F*;kM$k&cYOhZenWs0pJ>)f2%o^am?`7=Vx7PY_<{okXR8ssrZ7_Gc@$wqoL@e z<$?2b&-OYWg-r%p;OOK;@`1g*Wkc8$-FwZ;<`^k;B?cHxul%R(!RNqK;Qj%f5O7LgU!N5H444)m`T;!q@}yN&U!zUG zd-p_XlaWyq1|%mj4S6fmRTFI`m}_4Z8_)&Nf3*=?c@Q#|>~uR2+##lMzkxk_Podmg z-Q5*jE=EUZ8w4Zv3Vn%;fCNC1?Nkt$ku9OCA-lWV8wO^9a}z5vS%?5$yK)5<+)l)` zw6r!bs_R~mzU?xo2P%kyg5vMdZ)N`Z1qI%rhipk*@6)HVfXl%ncyNs6j}Q}HJbBrN zT@uPxf1ag)AyJL^XWUt^DezA{8^h(Q+lwrkJQ zm8q#4F*mugLXr^oL4L&M{#*xy^(uIGR*B881igE1#22PD3zk zkLKIPbVkSNG~Wt`h~)A0qLLSqKC#S!Js&^T6ttsrz!4buiO?<)h7oY|@L~H}h||dO z{Yqn^^&Z#}Z&)v^qoacc1T3Xn%1P;{j0;r(DT9OXsg`2rYX&V~_Rk;NQt$9Rp^#c2 z3Or~ZMYRN|1f549yWRB#ZU80(>EP_#`QhEW-{|NN4KR;A+}$JAg@7n9sd29uZpZxt z^t}96_amCp(eV-)K>Tp1_7L}BhoH~O9H*rn_P?2sfcBZ(Xi;fwZq8P81{n6ivuAu< zT$f+Hg;Hp7{Ij&{H303~}>sPcG;4!QoKu%0r52v7p ztN_QG?i!3J7FO0jv$IZ*7iuD?fp}eLj{44x97M17V10?4AMmNz1Uq^72pLDm^6^(^ zPks_y3}-UB9bM?$oM+TgwN3XVGb{+~Y`X19Y= zb#*r&6@i2iQT;!V`j`KZdVwQO1<>k%EG_mX08tCmef|CG!rah2@@*@AZ(JRmo0~(Y z(-BRAiH@3~<}ccSpMZe|91n#Eartp1@VxpeTg)h|4_@aw_@cPD=Js-P_1*@Q&Gbcp zTG(|P&uq%>X@$n-lSO$TKHor(^kGIuKaeWdxf1l804-F5*VpF_Jv|kLg)`B-VmRUr z0&}IjF3PfUa<4FTVSRG_07Hf>!tm$cjs&BaHT=p3jLsQW`Q+n=4hcz0zVEj%esl<< z1yeV9Xr^xXc~sOJ;O5;PT?CaOVB(%V;V52U(~wkNM`!25c6M>h0dd;bz3~O0$U@%C z!*3$ymTPwWxVl3vWl;Yfx=T0H)3weF>bZn2K%d8L#`ghWV>%+G2O{uSu0DSJ0z$01 zdU}yx6~p6=lN35Hhd5f$;$0$`e5FtOBsKhZld&IwnwWApR;u3p)&3R|v5H>3L{YU)Nx8gYRT0 z6(t_ch7z7iuhUhh|7Z_a-IzaI&IPPu;7hll*DNjkw?Z)JKiGJ_LFhj_Wi`^(<3GcS zrRvRH5>F!y7)AgJKsTUFM40HqsR+c(Ui*!4AeIak7ZE|B>Af1Jt?<7#8mQpDmEdbb z-PP5N033ng2oZve0L2EjxG>!xURny%+*ey$TThSDo>s9aVre5Rhc<+G`-OJqY1?A4 zYMUgt&GO|w3W?i+u%7X7aR^~TkhVHdsruYNZ1S?QVS@eAQc}RmXi%2l=p}V`!VQRv ziD|HPp(Njfj|T)p!l}8LAxoT3kXJnbah7&Oz_Q0RgoFk$2;r6&7z(gpDFy5tnTp)p zTuZ(wgwhe&mXgAMG3Y0zV8a2Z3Gmb5*8_Y3WD4$?WoUizU%Dl?2E*1(06H}_)_3-Sd2)auwHrL z)X0Q6v`XXfzxf{TzVeGpui9K+U_wz-Qo_cJ8N&Dr?mV6AuAyDi+dupINY}#}Q z8iy=()SHpXNzF5Z^-#zvL)KLBZ%EL3brq2DTXTjR?%!X5AU|w~s&89-RW)Q~3vzR> z-?;-X<4a2m<6UwoK#-rKqi!coG~C$49P)f+dHKwlGsPt(7@nSApKq#ssjRHbz`#)8 zZiy`@mvJP5@H;hqQXn{peK+q~r0*c_ce1Ks{l8t7u;sdu?O~ARG4J7PuGjAdZLRed z2VZ&u$pi-e)2EWiZy-d1;IjQGFHg@)nda!Yb>)y{ZFF>C`!1KwL%qc|0uBBFqw?vL zW&Q}VIbAzG?xCSk0fdh31tq9%42BY$*ACVz;1-tV=Wx&20Jmpj^c*U*kV2B7Z>>veu2ML9*pY2wZ3&ed%9TK`o&wI39Og^(NDV-obJ=~ zon-Mz)4$RISFG*BfVzXwT`e8ZZ{AIojIbGNIXZy9>)4sIFe@w6HA&V z$?k!P3{uB|{33#l{b6*@(Bgrl;2>&rEWp^nX|><0t6K-73v>CTvopi+9)S=>Y$qT% zu#z7-{9zj^1CPQ4c?+X^P#DKQ+~)KZTFQ%<=C*$j zip;Yvrpr1j9B&Bz)OAo7QYkfa%%!?L0#VFVt*pr2;+ZdgkM3S>1l#-mlOb}<^2gjpr!5I-hER)Vw0z0Opq&O5} zpy9_>faoAljs}dIH{dV6t}noPC28Q#Y#vfi&_J;95M&Ox#k+0WCQ8aI(9*H7r;i?8 zst7w~Z4Gw_w+(R|Y!zhye{yh8g+9&9%*@Z{=jBxgEuf%g!Yu>d#P9>ZUstT_>k9>| zg(r=wz;+wdf~7pn0%S_3n`&neptXjf@XwzHUnux>E?To0h#C^xB|8g%YG8>EA3i{x zJa+5?h&Q0K+491~H*_!3+AH)g1mgMB17zEJFe7x19PvY^L$m>p0$&Ry0aXwW$1iRL zcLRTkv{@r3=TM-sVuTR~QOl*GCfn!yc@`$V^o362H=j-|Af zNw`aeMmZP{wHpvLQA7xMWcn~FQhoXSIph5SH2b-~6CY`Bg|DoTf=d#&5j!8~tV&Aa z(ly7kf=)90p+Okcyop#^Sy{-YMl?wgE2QhLwKEjW6gcEMkbJ@S;jJQpfb^oac0UMk zl4fc&9Su#`UhwAe8`wTz;#CfFtBos1!6-~A%E^8F@PSFP_KXzv8ArB~%bWmHFxdl^ zw2}t4C}ZHQ;9^vl!yuA=Dc_Bq>A?k#P8IH4Uz4 z7T7y8<6~#1B(V5YCkc_ch&&%+R+Rkt^IT2yop50P2rWrMx z8bi?w-oJkjFFa(1r$BOOa1dnhU(n1R#qix1qY>m=Y4`40BWhPxYfDQ=TNDIN^nm+c zu(>|ZYET6@PyI`c^;g&c=a5(frKSksgXo0B*iG;z{5ei(>$!!AV~~!CFeDRlVLy01Ht7gBXyE(8hi%c6IyfMcolrjM{>+rJzuR zNI5ob6crVLg{r5LQGR&r4R78!>P7$q!G{?eZh(O)3pxiBcE3HEOYGL^St;uq7sQuK=s{&1ePz8W(Q$AK|{KtHwa&y$|r}}Sokj}C_&6!HZe9v zkRwIWjrHX`{*-q!m9+%$XVQiUuWyay5Y8#LMxf#gev&bp$8*ug2Eb>@auaeUOtiG& ztl&~GvmtCUXJsP~wM$X4019>1N7p5{R~Q3zkE}FUu~Pc%*$3Vs;a$6KlN4^`6FNVA z3PkW4%jw8fg6H8mU`hHVP6LJmyukUQnqca~{Xc%xm)i;)miU6gu(3(|>84Y9)pE}s z2MAqIm`EC9`ynC>5(v8PHf3*nU||eJ%&O_9zCd_VQ}p3nnn>0vR?1=KfYO1jsqftB zg$4ux2?OT)3pX_0Z{XT+VbD$yokL8lYOFU2@j>_?Tee)fm?mIZCQ?&Ey~~znP5Hu{ zdR|UWvho?w5J%)yZj4_u6qZ-EnUDIURNc?TF-EzwP(ev4+J}^#1!inM<$d=k7DxDt zo}R{_rqHT9kfu8SqlwKVWb(U8vnpx54P^9v71<7q6C5%$Wzc>5Wj`?~DF$ki>LUo2 z4pAV9G9`I3hOaIk8UzF&2z$zUl;Qji;64NayAAUOYiuA+cr-{K0JP}t!r(4UwzXkPb(`0J8MPE}aeO#9 zH{vWUA#uvXo#D^&@@}I9T%BUKsV)3!;X(c! zEdd9658qv230{Uq3eExq$`Iv2-kN)b3(7xtX{sg0w~RAHvBAMpZf;nKIbvqk_56e} z|1O|kH1bi1`BL9+(@^RmCkHfRx?k3k0g#Hq1RKz(5AsB4^{TrWFZSI*lL?YrBci&d zfDlf==7X0HmFm)fpXh;m33w{8X6g4TdC%!%2II4J&g;pDwb4K?jK%s1>=uw+JXLsF>P`5=&#}7 zs=#@PtgpSjOd1T$&CQTEmVsH&?RD-PP)%b}=ogcegaonz2@!Y}<^U4swY*o56NorZ zURGLaf(^H+r6;iO!L7#6u%)tCVFHS5W?>04--`)@YeVBD!r)w7)5%0s-qEmQ9I`^S z4>zFb108?=#p~P(K-8$mOv-1jGUDRldokXna(_UMK;Qu0r+pzZEV04^Lx+KQw`qlZ zhbD~|Ca~#5^C2*9`S4HA5fG%VN4w83Aj+Xm5kj=&MuV{$d#>W9F z=D8M>)zx9jc_7;9y>|Z1b)XP-oS`{HwJk9L+7P=gXVX0doC76(aAe%X& zdK;cu?U2y8Z(e1%Ra&Z?q#3t|v^E3kJHCgJQ$bWjHm}*4tPxxXGp@w?u-CCVi3|2%kKLG9^K+3iCsEthpdIXnfV|RBT zS~Zj(jIE_utj0vGcB`QySkvMRmwc^4e-tsZ9 z1-UqEEJ2t%*I!LGe*V%7)_l;yQ2dt1i(K}{rC(~^T(db;0Pk;b@5sfD92*cZvd(8Tuq)zEv0dsM%DJA$8%`-)j?_v-A9)q5wy5x`MXQ323^(jg%xmJ7KU z4Jlv~q-Yq?m@e1>f&8@Ie=Tvk?q;A;h_0z=tV$a<-cKPe9*=jz7<^g7ehHFuxW2e; zYDfQRo{h8aTAe6M#%)lVKL~s%d3^3Dr9V551L_98NL~n~@fW|9u1cyKQvu z2qK^c>klsps%tZ&aY1AVBL_bO0Y;!H=MyJj(=xW#A(u1-mja46z$2_C6lmCv|6VI| zS&NCQn6(Ho=)0FM8(La&@ybIIzbk(Nh}kIg(4TcTtdBuafG=7{vw|N?>f)d@zyOdM z8k(9&IN&k3tvAdMi02#&^3HONXq7X2qfFQ?3l5Z->b$*1BNsV0eD;2@llB)R{A*60 zSrLy`Z~N=+>aNQmiKd0aB&#G%XdgZL66tLmhwbIxMzw|{29Z35^xNc0MgWLezN-dJ z3$nI@0*Y(rSd@Qz6cX_;r~!rp01UQvagAu$_;+wtoF;M-``95Wif9JnIyQg_RV#DA z#+X|hNQszyDRZcc0!f7MfZda%ZQdY08k2Jv>9X@ZK!JC5+DPo&NlMpMek0izAOMVi z>>>ZcDv3GpO$_g&$;gm(`}7dnPPGCh_!!dn*cg@#PY0TT02z9221X{T755wm1_1WJ zfdfnA%AxB)+S&wz$QVW*majIB0J%cmtgo+!1_`Gh!Uhap@*!)`^c(sQ@E#?cRX%0! zFcmE!@)~W-JCGH?^aZHV_&3xJDG$(F zie7i2Q#68;^gU{Su3Woz;m;3RUi$*%6pD(*j%}cAqr5=xAkAQx9ZCZZGOq~*a4&Z3 z$SEk2b$5a~y{WIieC-7gkn6Z&!HuoktULGf;N`!o_53 z5`uyQP%N4G)VZ3UAvFXRn3tQIWT0#)3`>WflhfkDg|eiiE=c#XqBp_)9Zw-H6=6l; z;PI6df=xjYaICK8?c;qHUxKQAoYrt16n*)t|OgbA>TN>9K#uU3RkNVQmeVbSYX zU{)x_`w%QV(BGcf)sLkOSz#(HqnaFJ zRkA4U0|d`|O`*OZE%gqHJ5uGKZ7|T`wcE1YQzs8Mv$FcSv4Z%p{dfOz@BgDvhYP+S zBT%4?FR@kw;BTMv7C0H?7q9I|=9!%y&^;Q*Geb?*E(kM}wD%EWiZ>|a8|>$jQWg;C zFY`mX?3j*DZ9~H)6OncUF7yLXGf)iNcD!bUla&>R1l{-z`|8>nDPh~&i_9~O(*6H5 z@IW;dp?ER8_Xxg)<@MOuUq62~^u?`B^=|$E9}7uDhpbi{LpT{=d2^YeAWh?k+&nyZ z@#>6MuT(U7EH6dIAp-^ztnRf#@iIRFxozc5dxC5 zw1KV3(pRsd)ry*tI|JtE%sYmRrZTbtWNR-gDr~?pAr(kXA*bUHsSEVHZ8*w7@`~Oe z3yZjG*CHCAF!HgLAxV71)>adW5eF?L`TE|W@$v89p01V^xRPWRh!;q^DP&JZmh=H( zO|v#@gEKpr;g0>qVJdLM8vT&IKfzSjS(qwoGTeh;T<+WbdZM-xO9G6Gvp+h^HR5lun=V#rcY z%zXimI4--i6_-VzuC8sZmSaM$(cGhK#kC_9h{hGnI4Fw z4)ntdfE;gPE-c2ESDgN*;)uuSs|Bwp7Wo~rvQjzq`7ySYoNfXuAwjBOiJ+hn_?NwX zKXTQe#qtUYw3Iq=GNpo%dO|g;b$A>U#inQ)@`hs%@!A9vk-EsT=8h&v@(}Z;SpmhV zeDcc6zhgl?UBukXjK%IY+7VucW9iO!EkqRe7f|$gRY*lnj`(Z`ibvig3d?BKO?QBR z&^QN_V)!(+YKdZx6t}9M2I8rVZi{y;#Rqr$1U=a5c>hlD3#_``Rgu|7fdK_;aMN0t zisBPkK1xdd*fv33aet=bH@N-(lI|1Ow`{>cQ{27Vk(2}Yu^3?=0~M4{%AEM1-xM*oc6VYoRAPKQN~y+ z9hc@LK?D$ohT5Gxu^fjk+sN#N%?k9tx-E=r2lnoLgbjREHIk8Xz&WT?fu3a}_*jMA0`VR}LiXKR(XZoz$_%~PS8 zdiCEfFC>%lX}m-1(2*k(4{Gpq`hw-}srfT8g%^{7?0ld3%l#2 zNiPck$B^j;Y zl^1ZCxg4r%@J6j2i81x07XpIILpF<q)@Tn;)V_7=3YxZVx@_CHorKNzS z$Cr#U`bD{YWFY>_uJT&*1&b|aUkIgbZfR+9{sX;6)(C3zs_*24C>}#sH1eXqA%g9+ zd0pTAc26IKfBA=FxQWBV!>w3yZ@?`Ei^1JTH^kq8f&k_S z<|1`6)8RymX-J6Xsz9}u{dN3cq4>*N5C@pvejlGlda)e#=bfE@K!99XPwfW0L{J9o z_{ZodE#m;5BR+++hv!4*Vu^?%?ia!sWk3u80i}4+8J_JxgoiR-M}{by8p0+gPCNoQ zaCH^?We00w4P+mJbH$22T4}$9s36M?7$#up%PT96c1_ragsz7r(a{5(HTg#XDUdh7 zS|dVO4j6in`aopR9Qh8W9k;Y3y)gk!8WK|2c0k^(_Q>98zrRp2SC=G%-plt*fp>s* z10_IXOqO%f?|Y|lZc2u-ZZm)|BD?%d7Zz)9Ef^_4ZM^*aadz(%BNdgD6b}5vm~?Vl zNbC#ayBYveX&}ss^`qw)2LoI*{H)*rcsZ4;vVc-hH5qHvL2VG?CHX$@&%}&FIo@*8vmzQA8VEwn@px~Mi@1nFOAXcV9cjZr``h&%2oH@7 z;H+TpQJjyhDsRT|QOI+hMh+0%9b*U3%Aw`|VeP%+dhXl*|2L)Ot!bpKkP#vy87(6# zo2<5Mg{(?bMM)(ilw|M9K2_R_>=n_lQxsCE)c5}4yvFDAxjx_D_mAKC$922T^K>>| z@8|1y9>-%HGxKwEF(_@Qc-W&uhcK>OY3X2$_AC1$yvHmSqX!FxNWQ4%isaYvAV`0M z^O?GPCITY`-YotVf9#l~NyPr>Xg)lHh1YACjS`g&GgXHye@t*5jv;+r-Cc(cK|*`< zvb(%A5=@q3Y;Ui#o43h4t{z0e=$VA+jiIh3;t$63w-*STn8cI#Kd-pN( z=ihLhLNnom3YEoTbi=@=!p}#7E!z_jCeK5#t)ls|D|OVK`vSRG;X*g z^$@%Xr)TL#<|BJqIe1%02=J)SF!7@B^qY=6_E+C|?42sd*xA`xTI%5=q-dU-f@*Cm z^=C?~2`LoGRQ=5@3TJE99Vn0Z2nHZCIqMNE>}{=qj=` z+h!FR1pJy#MnG&VgXg)kXN%ty_H5pT-6*?#{DZ=gpGU048ir>&Tl#I#rL*_|8FzRp z+})*%I!lk=iM|7UKWBeO{lkyvJ$;6kEzbby1oAU05d6Oy5D``$HGk z83Yyi1YDUzk1@)tA>!v16S603`p%?voIhV~iIxss7LX`Gt_L|IIP(KWBdWMP`aoiW zYGw+UZhKC8L6mlz6%I2PaA+18us9&MQaU{qzo|u90`LYV>v9G3zu{F`Wo4*r*WKI4 z=stdq_=Vwd_Ue&{Gg~YfM6(i?xv%%!B@UMC=y(6B411;osITcpUjf% zz!57P!qM!iu3m4XrfvjQMw#Hif@8f_WsPKl{IXj70XCMH@kZnBEc5nrhuoZ)^8uSZ<@ zqFIh=j!&*kZ_R_Hmx03^#(G5zHl7mhlZz)xHR!(TWOa`nxl-R_xZ0d{(b#0o9$OnZ z(e*(Q@m{0z^(AD*CA%B>0JI>#H*HK0rG6eL5Og??x34yb@}C5~8rvf}Kb# zatVOE6NbtLHQm4uzc8gdgsoBCD!xVift{x7V8G3BKWt8fYJP-=V%n8!i|Yf9K|q*v zee&#?QzjpN#iviaJJdS|Elb1B*saw|w(OaBoTk${ZnS38!%Mc^rZ}jzy4Z^_LZ@expa&BE3ElIr~zM2qfkvtXX2Wlx{;a{1DF>+i+EySz^y}-~vxdp>8 z%x6%MwBe9&^m+J0YTBHWdY-BmLZb;%PLq1RH5V+7k31>wE{zEYSkihi|A(g(7`HRJ zt*9){r={y;^~3eb0dG!nKwxa?jC%U*52kg`usVMF^me%0=Dq zxhe47qI%WNt~5cszc%($bt46vqxKEM#fB$;Bt&!uU01OXKnH^J~i4G6yUZ6f6*+cz54P!xWcqk2rmYc zox`eX#9V~;L9+@T3c6JKGqU5iPTeC|IjC8A+1Zz`UZoS5YiH+U_Vcbc4f+2E9TK+N zNf65-3Sd5@^@e+F_!-=?j#ig4#$C-=$Q%NPxcbFq*#xvHNz0#{0VPE6h+|6IYmc&2 zoX=lKNy&!7F^nV!`G>@h>|>8A_#A%OwX5-5S64L;nt=M|b*is!ByBR__L)FCUcEY$(dm6b6=RKxN)+C+Bhz|qD?f4O%tU114ym?;5qo&t@byh6!g!qh%5cOM zG@`Pl_DgLUV+(Jd=8EjGbn#(i&LqpZT{fo2A(5AyN5gJi+D_#Ip$g*Y^!Lvs!6SHx z@(R8p%q7MVNGkrM_SwOTTev+`w6zIqXN5pZ!1oXZzxDpAYb)7`;IuSYpwbrOxcig- z-mIK>(M5XTOD-zr$(X39M}>te4S$fPVtlQgblmT>s)inBPWpPGR0HU|%vO|TU+-=- zxX&^Lc=U7dF@y4B_Wss>H;euiFF)}0%SV4x8s$1^zoX`x*D(9NfBV*ejLrd*r%nwI z384dwHeU0ZV&k#kc;N4N-X1-B?kaFbwBlt#Q-6lihu4V@!^GG)@n!H*7i92|D2llK z7=gkN+xT+*43dg6^Qz!OCckp_Uxe_9x6Iah!1B4 z09dh0mv981GBN@%x~j`Rzc%x+DU$?4W7oGdQAlnUHwA@--MR0wp(&Q>gG&{nY_XG* zN|!FCssIze8WJ;PO3xJ@2O$ zk8Dm=Rn@*=dD)C<(U!omQgNeanwxine$7c0pV$uI$?MgDy#B(%jt#jufOrPbUzE`O zGkeMp2VKF7lctyCWjVSD_H8q89GdcTRdLCklpX`sv4DU_@ddXnMWmJ)b8a4M=`;)JEci zG?ll%EieBHxu2Um4#^Z43Kzc7$8&aRT9fpP@m(Y&2tn4PKNa4)2j6M0y*Z8g_UqR# zjt5#KL<>G{s<%d8$6t#1#nMv3mI9WHG@hR=`aHKx=&yw_rB18#QluNFLRlizLYs`1 zpUQ{kF|8?z*9KGo4FNPh-C(Cl1=(smA5bA0Ki*C8K}>CQbzF~(Jv16kQHj53VkmBp z9z7y4gBkiS&-(ri(>dEv3`wRc6S%X1fKdFCsDtfmb5k7|+Q)$oZzrQv_=d<8ulArp zjzuuulq)`g7sbVxBau@25089_r*S4@1et%k`DAwV3k~lAu5ml!<0es}hJ-1Rupnwg zW^g-_N+>@cYCnCj)?q^&!h=QIY}_Z@&cH>&dVe@gmat-I0+FR;D{Y z&=K)s@PM5MZ5|VwkJ1vPG3fDY>Iy9x9GQO(rbx_fNdGR*DVC}BYf;hE?ANz%`-H7P zijc!)mp;{60dyiM;4g=VgC!&anC!y?7ZGPmck2XUS&4S^= zhwdg@&=o?hXH1&EU;zpYh)`YLARQe=EiG$p7kWH=5I14K;OBlsAC2znFDrR|C1S@+{Z~n*vtc zae81hX^OLEF&C+qV7g`)0rvI*z67-#lSjilokCk-3hB+yb0J9X(&Ul&DSkF9M9nXoon^;7`JmN-;*lsgVsKkg{r z(F4zg^aPC|%R9D&2x@19+F5gZTv`u>Usv%+f9XX5Lkb8us?gWV3UtfR=`668>G>$k z$Z!(g^qLefAx^Zggz(S;=d~Qm@c%*p1dZ{<&c)+w$iB>L+Hi(ifU+ce{&$<&5%UOC zg=@UNhV=fSSv_HwI1aqkeh#!}3L@XIp_UxA#5KqM#^sBhiK4L2@CS`U9#^uQB_9ol z<`}Y?O2yGkBKZIUHLO^;dCh$n%`D-d z@@LI!($eh4xGQ-9EA1gS{df$#Nxt&f{Yaad;e3NuXSTPdI0GydK~;dOBOFSXAeX- zkr^fk5!8qux`uNWSlFPKvRYG9Qd9>uX3o>+>)LD`f>7x7qK9<0fFn;^OIVX2C8VP` z?c(J%58vA|*WawUBPkr=;R?27Y74zNYNdDXqkvLZufA~c;y3n$Q2&4lZAupXp$$YL zo~)$a4t^tsQ0DzX`F1Ir+KAHAK8Zvi0R(99rbwJ$)xAF5mvDXOO<(B2zt_~H&y_G@ zYytjgxTXpE0!0SU9B~bOWJpGbu@)A%=E(IE57?^x(MCvW22f>$ivocPdN-^x!TOI` zz)~4}xq>T_G9faf*CS64eB{!_i^K$P`SiH=rao-N*n^qnNBr3=I4|TZ%AGp3JAb?6 z<@KWH&&zkMG4^$EcFu-YuBt){&)qK&D*K)wbo*b``9t_oaZ}DYXOl!2!OBhJrcWP8 z6N9vq;XvezQUNC8%GImHM>H{ZQA~Z8-ybHuu6ynuQ9e#s`A}XTK7W7&l%{-3zf9=z zWy_b>r41|F=ZL1erxHJ>2oJ}R9wWCY$rEnia?Xk8OvnIL28F^AY)^|83BM$B`^wri zhanZ_5VhN@7YT_afLx#|85!NsLN>4D$^^^b$e(>bC2@1jiCo_tm}rWYqo@60U^&AC zdpH4_;Lp>wZH=I=1Ok}w-SVtp%1iN^##=t#oGQP%1D zxq?B{NC}A@vVt_f2LhD;>?Vyl_%a%b`STCZP9!If(CBF2uCq&kFl8G1eqV$sV zrq5p4c#5i`q9~Nx(QWo%_ZHu|;TR@g-eAW2=n?h{crpc>VPC;}ef2ymC-@n)!;pgm z8c^19+cR$^`VFB`T4{Z`)mxttP+Ft`2^j^VO*9QyO^O=X{msh%ibH_b)B6eZiMnvh zGeH~RlBR<6SmaC61TYjL9xJPDjPSg!En2O;SH8SHuy=3S7FQ>yfclO}moIN!bEBs5 z_kJD25otcxgeF#^$H{C4D@=YL# z)on!dLSEObRjUYr^f2t;w76>P#N%~F{kQ#5{?}&to?Dc>m$f{P9;v9k0xOde8Q3I> zcIq(6@liY4b$5H;%g|7!kI4szdP#bmaI@aiUB zxv7Zkg^SSmX(K@gct;rOJDeJ};rD!klCb@UV%kAnn~O*~wHJ_)(#B`i@CqiLr}dYxPIeN$uYX$BQPKXdJXqfDEd zy2T8_?WnnQmEI+38+%3?$`hnokDh=b8B=8jiQ+yn`4-i`rRCz9FIf=L?q7sKVMSJ# z&if~~d~w~pX%qF+#oj(WWz6QSg3YjS-V!AABmt%NdlCGq_Rv_?$ z-W_jI?ix27azxrSbolUjI6^TF@O4W{w01Tg*uVcrnzE#0cem=2Q7ms_D62b>PEcc7 z+~MLjE5b)M?;tB72@NN&N04Dku`gl&!^!3VJMln7Fij*f+z}UL)xGM?a00(3 za3IoFdpFkh9z1yW7+uH+tb0%??X|bJS8$)0?)l(Wem*yAM$Lyp;7|Zq@*jKyugd-# zE8t(h>*xCEt#M1*I+G}eDb7E^N(wn&Pb4&fvi1(|cgCv&lLlORkeC^={s`%&ALgW~ zmtqgxYkiU=wX#6BY4LgYqc_2a1sp_$;uN}m4K7L5fa_mKyP#Z`3AE+jAi?% zTf|%~v8crLkyj`+YKdQj(X-xc` z8c()@Ek6AF@pVO!#J{G+pmV`I!Z(T=qx<8%vkue5%6m-pnLIaDH8l!DopDh8A~61e z!^X(CzjN7;)c9@_K}p`7WL(D87KL#WQxO{e3T=^S3W-;b4{H&)6q_WFUS?!kO|QDD zt}!YVVS-(e2K(K+@_kQ8ETZ99y!c&9)e4R?e-QBuJ1M>}ZzlC{?kM*T%|dR%YOaYi zG~mb;k-+xt8!&9-Wea>-?&X>7f~KDUwB)?gBsnT`-f&+Qaq+w_dNRyS(Ewb~z+fd4 zme{&QCflkfO+A_^!WvS;3g3`jb}n^jS!Ikv&gdNmvWq@>kK~3IpN(MfU_FLL6UNbC z+n>>vJ;-;~zG*H!zgVWqFM|`itf52E*jat9TpQ?A6eiX_&i@@Y=~;{VxhoT=PF1)u zYGBG7#&LP?H84%%btCzDNvFpdtL2ql=}`XmZI#o!d8Ke4GT&dkd}%-!ZY&&Xd*pLS48%+Wj?+VSyiqU^5~Z%lQhZKWTc!`iPd z%Y6byJ2C<}ZHr?CC%mgT1se24Vd1%It&d4p?T$z{7BB*rpBhRi`&8ORpF3r-vjv;p z&!42v`Az_jCxeOJDfngIp(ZA3Hzy91b(aHoIvGC8<9o>QX}uae(aKlxMK-l#kc3AY zeIdR2;ex?K`Cz5eTi7)oMzBFOo#jdF2v=0aS5Xmp>X`wxtCPbgmAYIQ7Xr+fbY- zvVuoC7H(hJoe~!ts~I{9jnb`x0>Ku3)AR7P7vsDYYJ(Z0NWuE}Q6>~zfpMUry@XVk zjI@##whA$j+lRXIhEf5MKT16kBT7}3Yd?U#oSr0me0(7Psa`bsytEH^mW}dHPC1y% zf|EA|nZ=*b&=)-g1VCOP<+=DUI7>!zq4*oROSTa?ZJ0{d3KuW;;ji%-9)~pXEs%}M zVQA}za@x?fge|ZK*)j*sTkezvH?XQG(R{*$WrVu2fa4x$N76Jh#R?3U9>j9XIx5V& zF-!36egE+zXS^op#S)tb_>$m`!Fh~$cEIa+&C)Y6aAmjRV=j7<=5ptNR&Z#dO$wEY zPaZ>SDWDp18k_}aYwIy9jh5g4+yob}^~8y5*RP*Fb7u1T$~ms>-wL0TA1(Mm8^styOXvr z#G$--&EJB$fPG-^p)UX}{X9Zyj5h5cq8%9ccU%F4J;#vfNS`{|C>`h%+(rXW43-J# zA~tx?o;K#A%ywd22iHMIg#!)#Lq&{gK${5-FW z=g9}n5#vAOAH&*V(NnR_Aing;nc0l!r1HRHi5;qf)icZVg7_g(1tGQ!?`kw|!i3X# zn^&lX&9SjDrkQ`LE0Gx^FQ!|x__z?@6pa_kUyhvAtX786c+1g|R@jGtCV`k8OTT}i z=&-UOv*{Qn-g@B%p5Ec+Q;D>6bM&p$&H%RBPv7>UC@;v zUoklM3s=iZc;3JF$7Wr0`Jh1DCy`>~X<02SUMJ5}rIDob0tTecNbOIO74Y(Hrjmm< z3^HU4O1wUdch#_Vk~U^ir{0@D03i@;Moj&K;1AdNhx;J^_1qu1e>QD=P4;j8y+QVC z9`cm~QBjvxJ|C1~$T&^G3k_wvi~75Xl?VULg)oR0bFwX7a3O`l))tVInL%E@^Bpmn zEx&)BZ8Qbk)VVo17!KehIz{0_Xr(1#v}e{pdkV0hd(y@efl6p^mVfNjsip8Q@H%PZUEah8PCRb? zdxsd=_yr)=>XMVzkMqZUXKSG8X9}lo{EfAYVYZ=IG+$QoSto5DugVv z(Y=Qr;#JG?k_PWybi@7ho;|a**YgrdNlK#4iXXOu7nFUuX?at?P9|DeMMOrTQrQs_ zatof+K4cxDHhh6-Xn2cRrwM3Q=F_Qb*UdyTK%w(IKrOUJd#TzA0apaR`O5}ZxHmHG z1PyUkZ2R@mf6f5CG#^dwv}yM#$jno&)JbwR-*_GX(BnHGN=E9Df9uwZL)({P_VdM?pJj>OA5+=j{AkIZ*@GT8B83YiCO&L-6QMUfnZahJ9 z4RZ?AKa>Om9AsHUo99@I|F#3Hl7XA}@F5Qxwxpzg&z@Ho-|lQYB`YJt!QS5YRZER6 za{oDhhuA!zl5tkf&C@p+cQNl`177voQ!MgDWpBT8rSkU2_m;C0`S2A+qW`+vcXx^R z;w4Llv9!tSZ4-AaoFVRAuE3v7O(d!FEHWOOMgT7N>D`;l{RtO+kZ}zDSW88ZBGva^ z-ZI(MlK%~bPf38SP<;%Led@#sm*vYj`cF3og5O;uA%_=r$MOMv`Ve$7du1iT&nyyA zqtU?iuTuB=dwjDy6^|OH>UfW#4Kr>=;RzsfFiv4GmmSj;Xm3|~Mucpqo-_7DM4*}g zaHzG55;S*>jhT5aY~O(0gwAWc&)td2qtA|Br384f9FLs1i&rZtwP>VJ?8~3_X&TXgXwPD)T`JAidqgzvcXM*!RUn?aAg31EAKnBB}kE?~^gWJ|J!#h#&gCa$tKM z2^uE;HA1Px3}{#`mWIL+5}E&0_K$LD0}#nYX`_{jtRH%yKKe{fX{jB8_MqYq<>j*S z^0`Bi9jpc%H8p9^Ue00S^caNo=iFXr%SNYJLUOb|X>4c^iD+q}H!fMV>Q(E@Vcd?~ zZz^+uPkM?(lO7390XCh=1-1?4^56xR7Sf<3?F#4<0OlJ$^KpU&r-y(Kv=dRX%GTQ- z!6-4}y}@EJxP?dr>kv2rGA)~-^-(lL+rpb(U5jT4aXI$ZH9s%0<&Q!`l0~0@^^RDm z38?Q>;4H)_x^7?p(cQzva^WxA<$t3QLh5a($@nP&_d1?7w z154e=vhxoX>~xgE736z74uTvkm@9?5CH39L%7edicwR2p`I^xlEU>%>BS4|%H;j%* z#|W6T>8>av1d?9`6{#P(_3I*=h0`bh5#k#kLWrL=$9Plw;EhtdEshLZ+}6*HW~t?w z5l^<+SZjx0(3GfPw%`n3Cv|%_Y6ED+{vy%H2{PGn68`~{AFS44BDDZK3q1up7V8%6 z3&n>GE`PdrPa@e-&G=tx0?DHnD>@;oBJ4o)dgk*kn8g#RYu^cR6e)&`0i#E2nWo&! z$~p=k$+6>@X;p%w^A!ZJcFhV_@6gO6@xq&wK48)x5q^1ncV}pWnvWij@7=xI!dbbg zjzb280S!WCW(hHfpzWo_O}eDDo9U!GblR4bw1%_8lPnd^8$xIH1*v(=qDAAZ$S|PdQ zSO1he6a?ejyGh`QDec=8TCz`9;=MXd#bHQXUTk~G2m-NS?%m2Qq<+$Hi$o1`HAnU$ z|A*DD3#Wofa8Dr&2QZ)mM@X{0G(=M{C1xZP((B^YDH-iMAf9Tj^&?(EH>*eYe*FZo zbT`)pEL{yy4*{0&Guwooqtuksh#_zNx^)XKIxTULisv#`gG9g2HbxlGvZgQL(JLiwDEhYICT9WVl{~lBal@P z#?l7A;QZvpF`fR0rODNvjA34+MfAQMM$ejpLE6h}c>dbB#_-Q^F#t|O19%|^~@=E%Z>7~>pX$fYQD-mf4hBJA}d^dR>E)E*u5!TtNo^Q-_OnaXkTaSovU zx%a-5m5DZfUE#2LwRO)Z=jAp2!nz+99@9&x=QaD5lkJ-Q-4AP*gonJ$& zkPGfUd}|J^1lTM(Htd#M(zdj65bkVgplx$(>DTPy=zSQJPGx&GO{EQ&5U9=5`}YB( z$v&$-dawRJJeXADu5q@CQh^fWbyu z)wKS8-;$u?A~t2=8z1 zg7YnZ_4;u8P~tv|Tfc(buvKEXiAmi9WtRjSD=H)S4`Yx+v|mZ{av^Yxifx#1$J{n) zo2epY8c5^ZCf1aR(g8#bWn-+~^BjrrZ|K)t7%jw#Xn4drT?j=t1YgU?AE@nxo~owP zk4r)~PX$jpg0HTmZ|4ghIdl4(f%8j=g!t->eWy;Ghz{^IRf8-kBImc=CjC+LkBiPIK1 zFf-1W@i071r>UY-XfRpsOP2!R{3!B^pqAh4vJXA2R;pvX#B(nEuNKDFi}L2>`euB= zK~oW6pXj77@VsAOD8SZuEVK$ZUIz*Ms&`BC{%%@I3p4T!69su%y(u^qg!97%&c|*d z+I;x*sVzwYJV@w1UhRR!UD?>j4lFbSJG4d}2wX&LrwWw~yg1XRg^+7eI#`F{_K1l4 zKn}DkrRY0q)*;)gI@?|$r8@E62pB576QpTWzDnN69K+B~uT!RvOMV@|D}iLSC+@#7 z&(QmH&oV1LU2r@il;{yvVB_=p*ILNxcW>VUSztGk@t(qH{7>b*$0NTtGdB55C<>$T z8a2A))ytRQX&whHtJJ0PCO0S{x_=mVeK`mK7GZ-CYg?>%SM*pBOQTa#5{`OOXs0tJ z#oM&*b*at$Jarh2G)@gc4zBALPZJUP2T9*~k^hr5dW7 zyW(emdgU6+3)fn9@7q_MWa=aPPo=yl%cWK-rhO&5!`h?k@>~#VPhln)JJBmXj%8j( zRWcXi8e^Z1T9~}yJS;aoFU{SjDdT6&V!2NA5T9Emcb|n<<#x+&D>G9W0Q8UO-OxDF zo=1Z}7_-?1clWZn0|}6;R+DxMvqR{6yJZOXAH?1GDv%r z$Ky9ee-U*8?#1izRl=IroBCau~ScJ`eM?z zFEO$q4yj+lv*{K-v>v%|VKh@@gDLt{tSlIpM#{0xY!j$9mF~Tk{d@RlFgm|h+6*=W z1$XO3TG4)X9}L)c?>OLgR@NIfFhwtWh^mu)!js#yu4ZLuf6Ub0dsM>4!Bt;kaqzbw zL|W|6ejR3Q>{6PS{b<{9WR(uLz^_^+SzFiD*XQ{wAY@B?-+W(Mu=RL&xNVjn2SW$t zGVkv2k@hz0<}#A|ze$RA#%cgE(9r7{1vc}kj`;-4Z7k76bV+VeyfcAh(3y}Zi89Z+ zame4)KOrJhO^rwsn4wqR9yzwj8}8)gNq=8SiH9J~^ZW=MZvp+JA`cG0Cy*llEo5x7 z?7yMpBmSV|o%*D2>sa&(EC}ul3|revb)JEu(VmG+*!$_M4Jf317}V5E$F*w(3!=To zYCJv<9tb&O0E7?6EAvOhNscslJd&iMqx3Dj88-RWUJCRC^pOmdj<$6GU-&TmyFKZ~ z8-sB-pfuUtM6>@D&1JFowQ+p0iu%SEpJpPuxC8|?_=5Pc$(Xh#mkPw?&2AV=UCHtK@BS{y8J5`<9*|r~;giV|7;G`egdUe-Gz!;M$@9d$h_YQK5R?+z zgnujISNd&-L+%1qNDjh55CT{e-d(o40q3OPYl{wN1aah3i5{>EewEG=ER#;g(7{zc zz3}OFbPKhaphU%&mV{F=TeN&#RE$D9_sg8?e@-Rabt+ho>-RH;?R%1)3_^R0(+IW2 z3j}mn^hmK}N<-oour96^z+-AP;>!g$y@u~yR*AyXEqyc4F{d6s&*Du9J0=TrD`+Df zI|1<-&z{XiHNX~_;;q$f`s^V_RyOSxPI8cs8>qq@?roF_8&`~*4lB;JYxQ`%Aj9iG z&l?lQxvn{bG)l4)M;Q#)6GE^`pXx%dH<}fO=*D?3NpL^F9r2=sM@{`p1$u`%fe0bf z=m{TUT-P%0aKxZHw{KszY892|0(*W7tBoEqVqnq%9LTrR?Q9EANRM@}C{3mnHz+*0%qE0rw0G?x_6%za3>pEa0I| zn`T(9E)jAf{41}n)}QQ(e&onP55s9u?*!}35j$T0snLdh-SW5aBOsU}ddJd!)4xgI zx5Zhh{Up`vtxAUY=)jOMVbcl#5}O)_)!j?74%!Q_c@zCh{(e)to`B04zOuqV?*L^xSKC*-Q2sx=J)r|@$U35b^BMJ zk$p&FZRVqndnWYC{C7Sk2ubt*wRh_LI3aR}{4_&)I&!TGoG)(QUI1KVxS5JbeIQ7L zH<{HVHnz1Pxqp90v4|B;{9`13G{qb$o{5mO*s=7#MWBl;@7`_+U=Q8zpRTsce@;Bl zl||)C;yF_H;0f^ue~Z#ZlK}a@wwmikdf&deboFX2Kk1#X#lI}l#aWi?wVFf3Qx2FM)xjNHs?f9opIRgvx(eD|<;Rs#lAFyw*tc z703^oX4YvbDXl@2VKAzjpIHQ2A|Odd&5IY+Cd<5lVPcHude3OT7;cmm3Wz?WMD%$v zBR4C%c(Q~BegeNu)zLE$&B&O>j~z=_z#s71_zWP46}uV!-v_Ou0YkDC5H|%CCa@6r zJxB#&sOV1ghjhBw52@T=V65*qvJ9XV#T9OP%F3TzYYhf|WZSAQ?AD{%q zP7;tdmsm|E0b(Y(p=rUm4G8zHiMq}k3M)WMgdL#kLTR0#AXGq_nz3*KZ=!~Oz`y+B z$|QUrR^7>o=8{($eR$s44qx>NJ6=mE8MOZ;$a1e<*FlyA>baIl*52Np5J3Pvl6LUm zX`Hg(kF5?qmEi`~Eocg9JNND(7&=Rc31M-VM2l8bQY)ihP?P|(Da-aB>;4f_6aOSr z?%eUAaFYI}Q~Bddmr`@k!1)1xiR}69xVvhV%$6)UNmeQv5g$i&*gJ=|54nkmIPd{B zfAVAxeHqXuoS)$kbn@T6er+S-KmEVPtMgoHs&Gaed*_383Hq7Mj-BHcw&+9C2^CcY zuU|Pm9xWAcjmQ_N&c$gyE-pPqW%-eMn;bT5xQcZSF#(h;W`^>UmQ1fNS$9k4o%Fqv zrskd7x5*Q@HH}2J7%=AcQ!K>8siXHFvvoduE5Fr$P?D>^o_ZoF=>d*l1W273zX(>g zh49InN*jU}v#b>?53G`-c<%GRf?-6y@UTWJ*=WMYPb-^<^}-l5QY|d^FnLM;0n}XZ zCtLh{6eigQZ{4VZO`Fk{fGWdd&zPb7Yl*OfyC|ROzU~wWit^f{ckDwHDabpQ9&8gl zn32TrPf81zT;UQAv-I$9TIc;heqr-}r1gQLY+0ZWf5i@)yx=O5lF0F^&auUfU9Gm6RNM_dbc-;5>D z>u-X~$f{=)=xS5+rS$K#lHNO0jq3N%Rfu#bkf`ZQhtw`w7yiMY&0!2`hi7-NErqEe zeygmD!{PC-hQVRbI5$k6$A!Q}MNe!amXlL6^&aV61PKLDsMdHxZ=4#%4lrA+a+L0o z+lP7{y)`&^JS!)m`FUCr=R152{tih=FP}2T*7hbjPs4uE+Hoid{B)$sM*;HSU-|>a zHpCW)(cJsAj*d~tFdQ^U4yqx9&WhqwO(#H$L^(xjCD!(6(9>1k&JUuO)0Zr?e{By= z-|9RF9Z3W2Ie~;O8!Wt_De&5%rn=`ghp+Shf9krky}gdTEE<-Ese*DZ80A}FAPH9} zBMn&?YmNow&a-Fr0ICQpnB*5bg!A%2+Z7ZR9-G#Sb3uy%{a-z0IQaBOAI7)(IpUk-6Ue1oDQ8>xhj)C##kWo>QK%N-_7oywYUhZ4}?K?|2m`yCtiUxUZJ75+!? zcv#2Et!6r)p=1t}?uNEyWT8VMKm#I;Br}HrWlRLHt|X%3Dx+6ozR%h?b;gWcWVYPA z>FwrLLo0!ix9r0QxH^RMW8yGJ)eoA#a!DtMgHE!X_e^CLFlNCPp_~v83 z%0fmx#J*;PA4V1`9R{c^Bk0TNUCMhlIP#eWj|J6d1o^jcdfuuEcawk5r|vW#89fip(7h-y)l=B;??Kd-N9-dP7P1uWg${(ogRv-8Q9#SFeqT z##?*oDw%A+b(qrfZ+kgzwGX;&E_WJ+#z!QP(bAz#x#uqNv5;SAGH#nq;yY zg#B5Ym_^+u-)zLXn%tYHXf~?5vCoLP(70tF?iDUn$^aLSZ(JUmwb3MX@7?<^{v1w? z)GbYOxJpHAt)$f)1X4G79XARs5ks`S@JEGlrfH^62t6r$r%vV(-_N<>@YWH(TCZ$8G<|ya(yTAtLYx&P3+9;} z*|sgje%zc{iUW0f?l>iL!*PBmv84H$4lCwJnk!A04Y5*Gk+a$rvu;gt5PxEDP9(UT!~-8GrWGuUhJ@-?WoxtCvR>Y*-`lQ8el?@nTr?3A0)Z(RwC z&+HH;Oqe)v&?#N8V-_bWN|wK88Ou947M5|dcrMZ%x#qPb_E-L<{9~erTGy^WV*|oS z=&pK|T#tDZGd^GibVR4^rk_tF+uEo2$o13==s4!qIAXVl10rYPE zIz@p#vj#q8kz(rk@-jra23TJmlbHxmh%b`H}_`c1hoyncym??=jGIm#$@|7 z=UR%cv-S#kIyp3*yDrCj>Kj5)bS zPM(zh?jmUpClTD(!LNsq0qu2ihM-=dpqZ+@1Lt}N-i!oL5cSqfz;=k@CH^1{4*B89 z1|O=c6)wz6CDoWb9Le{p`hV2<#qtP-i1y`RgCLSrhe&cNU^(7~cLESjtML1G8NT6s0v!C3d{;}g%mHO7|5P ztdQD*b${W)!gH=*B&fK?g%9D?;N`1ZJS4a6@dPB_JPm@xq@N}#O40&;uBaH!24ntX zg8q?nbQ^OEhW}>0qOqxrTG&-&QWTf^#RH*2vo&5T^dGL6mv(kYOlb@^3AYca1fjUI z!Gwu`DJ}Kko#z}E?tvdEH^1ZcIitT6{+uI*KS^OO4T}x271M?pGSXodnjyw zHz-X%;4yxDFoV&$A<=Je_1kC7PI9608dleS{fft1cD^@5+bk0}+S9vt&w4la@EB6( zX3b)!Y7@0W!dpc!0=(?P|H8J@3|dS|-?p_~YLMO8goKliDmc@Jb=%qx>M%2jAPE9< zFt6SC>n|{61Y?T36=nPZ?wv~OZMfg&1=m(w@dUA{t*aZ2lZx>(qIwBOHnpUC>ch&- z9m;mu2d&q!1{#2f&k#rZA@$(N*(N;k8wfH*Z^ICJw8z;r@Z3=V!+rKZC-yZkc)3qW z<8IA&N~KMwv6IXKT~@3ZK{_M(A%4@^hcD|GeTaJHm}VN)kEPwG3l?X~J|F#;~uK{e? zB31Iow;bL6{k7E9Cmnr|X!MG34~D*x{l4haDV#cPDEH9`;p}`2Yvk+Oj_ncCx|Kf4 zZ=lLVIxN6!IMV2Z^q0OFGDg$gYc|GPFWTS+kv-m9AK+4n!wx<9+^oGt8?@ zLi;2ofro#hL@)?sieZZJhAPz!VLj0tIyw&&LVjk?MroFJM1qbTn6B`M5T>bPV|=4g zBJ;DTreNl zkK<*-|8GEYDfX{lGaD6b&Ny0n)Q(N~@FR6!wg^qccLZi0uZ|}q*s(c?MCZ%L=m;sl zv=0)a7g914#*L&bAr!oL^{UGz&+_JLM2veh52&fs(cZ9o zr}9JR57~0*O6%*6YsSgZeuy)y&CI%v*kI77O+cjdE9s2a;%Vx%A`b&O7 z6uXoT^vbM_K7IZ?X1=Eam*eON*$K6iz~3L1hUXo#MTl+ttqr_gNOKG=p0kh~#dcAG z)YDQHqTkfi2jB}t1240a(@`WS*Jni(yloR2BW8nrv`LnKM9%MC_TE}t1A5*mYa9m9-{8Uv%g?V3Sh??1v zd-uZ1u*1|Y(cau{3(I*#dInNP>F7nc;h#KvW~tCsUha*r*5zm49k)zC@&cu`sKCFP zU%W{9@zVCQbc(FW!~@~0RTHK5ctI;I%?2$9nSg*SQ0*^x<8aOzufNKQCgbd z-NRgc;(^nJECuvGk6*58tgQg6IHl<1>Plo*SSK|QBo+jZRL$yXv(I_xArwO^09g7g z=bC17gxuthLEGCj{1ix)GRZc|d+B=U`+;6L0T3WlyDN7^lJnu{4~*Khz7G~L@)L0< zI^K>_4wlBdmAKj(3ejlDko6ljAnT|&Gy81%rOR_k7Ax0e(&xbM(~Y)!*L)Eiu6)F{n4f#`M^pt^c^a#&`y5Pix501%L;j~WGm54v5u-ge6(WjKEO4wk=n#uxKakOi4o@Py4iXeB^Wr)3>BZEeN~ zw#)h?`T^eDyZenkr29z#;R?%14tRcK%8T$rI`Jvarv=e5iz9V)+b(jPNilNMSp0c9 zpi&3N{ba&$sJO6v=x|pSR?ujIKlWR6<1wLqW6wyxJi2L2o010cXgnDi6nY{e808MI zWNPTaG4zE5xb56&-MS#_=c?ZQ`hg{0NKS4-!i=6Ajno?2-A$d_Alc(BF8c73B!?x1 z(E?Ww1|~>R=UtMzXsaMX{ES$VLJW^h*b^`I%HpdX7G&h)ET(y;DdFkUg)EVAYCYOb zyr6&ei3FBO8%mpiVsN?gH1itAv)P5G$Vx*2z@P)9+c0(9e3Nuk3yZct6#ob=dH1qh zou>X?Nz0$JLd~e&VY`O&+P(CXZ>c{|FI&Ki3yLa~4B*%2KT^9Ti z@0Rmmp}gt583v!67cT~nK%%q^KzJ!T&AA+T=UH;^bhU|u&<>GS2+~FU7TMuuB})7& zzsRqOK6icE1zJq_?P1`mcfNmt+lMAZq2PGv_Yv%!K?6IGU`{yB$EgABK+56&R`3!6 zl6>m^H6Wk(o$zpQZo+u`SB`%jVdV9&px%F?KK0;dLX&^Mqh$Bjyl5Xk8ecw2$wbf7 zWuXb5;m_EvJ-_d5W8@g9uc0AnPWpX^{g*l4(oQ4WpSTZpJVy5`Lw)Lvj^)r0&7*fL ztRTBcqVrN5pov{&-;~v=Fsf{;ln{IOj-V1%_oY~iEBZ0gyLk^A_wklB1_GKooA!j( z+036WKQc;@Ih4QdPR)_oV=eqS{_(}{UZLnEeCMlNtItv>iYS^x^8!z){qapbq> z-oA}ZcQ~wX>*a%bvGgaz6OkvffB*h?rMsd*`@H}eHAifyHN7Tlbp4AYt+e!qjeg^f z3VLEFY%l>11dn^;x^)4PNvHtXtU89?f=zoIdfu?FZy#apZAWd1XXp%5cn)#!#GV$#7k;wY~a$D-}khPxzbwl=Aw04 z^Bp0nj%?>8OTPoB4gIHLxPx4#s|%tJ5fC zLqw4ASw4bkO!g{EX*8e{=c@VH(0BMq7X;`q>r_Z_K6agG0~7iODQWv5a7Its<9oH zww0A{#0^xkm3{qAo;<1FeIJ^o`6x|jMJOT#H{t|wI2BoEY8@9bX}m?*R;XfW^SDz8 zY8be6TsuMt_yKgb2`T<`A>g)Y&qvqIP5s8-M3&vG#h}UHfYy~>k>mJOaiZCXTH zS{j5CI4dgsgx6!?mdmq(EiEi4TD0B#MyfMh$rJ!3Vcpn3Q`6G>_iOkhvb38c+A#yX zqEDkHtKQ-jp#pNPb(>r>3~4HjU^I?#yT2@GaDE|2Qc;27X8`uLt?14gUve7`CZ-O6 z)F)Mmy_FzJ2*W5WQp2~CzC;{w3d@)-nfj0x3k`=@bJeQzwA=?~O@)Z(NN$Oso+)o< z`N+%X&wm2;@&5LrD0Eg-+_ruDJU)?cZ}77Syf|QrlA|Lp~`p7o3gTKbnYHaS;+}kuXf&J9Te1N{C=_m1kO=iy_lN?0_ZUCyIY2T zI~o7NgToZg1MAD?yA{0dd_!(L zF3cK(#LJgyVjDn@d2ryYe4OUma=f_Ua!Qha5!i{1?Dp*uIK@c|!JSH~VbTy`7mC9( z?%<}<(aj+T4<>V)eD2HjLD}Xk(QH?L{CGHA#5+Kkc&JW37ta3r8K)mJMbOAen)91V z-5))siA_r#uDVgT0asX%AkRi&$$Z|5G4()bNU`*L^vG~ovt}UO=GMX`szUCI`0%7O zLmnSv23I-lv&A~2u`KnPg$9SHMT&+C;9TfaENg<6I5m}~laHS90?9d7(tSDJ8_GM+ z%k8u(PqVoA=(ScK>t)M&o0_I!qp}nhcywEwjju87xfQZ~v{gDw!}jf)o3I{rDmNkR zA-2_zruu;WG*?6$vX{sm6w~Dw7r8bu6L&tl;r&7*)n|{1uO(eA$R-hPtZ$Qrt(|q9 z^T6xaEqg?y)#FExoNgWyHbCHWiy-=_M-TH0^W68r>=zgjq|=vk?IwTjvh*l z5HsSZcWtgF1dLH;XFtDTCU3o+PNh)Y>1b459ec18-GSjg|M994B_$;hi-5(nCQ>Xn zqQSUK@2l>wgL84rBnl5Sx0SZ8j(9Wo&HQh~TITor$vt;j@xppY-Rk8U-Z{-~cqC{r zVcJiGi)mgT?{ja9RLL>op={lry=+CM?{QbT=+3Wqqz7e%-mz#Lmf+SrZ6EtdI>nv) z#~Nb3Rn^kkx%v>KxVa)lbY(0sB~2gMqOKuI;6h+6P7yK>9?z$pWx_(SYuT5lA!i;z zEJ>pbn*aX9c;a6!9A?jEidbvF=gM&RwtMIwpYRg}RDJj`zIFfUvu6W-#h#*rP&2(7@Nz?=#P(C>Z%B!?ny(@$0`hHB65nc5b*om>N%d#kQ@e6W9L zto7XK(}$Cs@oPMsX4`KO?7j0jrlNdXrPUT!1_wyzxaK8yg1}b;mag2+=e_O>B|w*K zU5p|t%OkAxC1#ysbHXtK5s^Pcya@9{YIZOqW-JYVXFK*49AqMRHH6%`ssl2p;aL_a zj^n9_`vrJt&uTn1G@6|jSX&J|Rya6h#MEx}gR`hJ8ZhuuXPo3zf@ETPh7aE#|DyiP zxp|N4Yipag`@45If8h}S9V5WU6TBxpzo%b_`6lp7{^0Ty>d~DG+aGmdOX3(^P{6}I zd|G~<Hn-^2s@n3s~KcZ3Z4QtLx;DrvmjI;N#YX}tzNmQ z38rI4lly}sY|_QYrCNl9znm2W>RLL)cYroOQ_b)APyyI#c_}tIyo7C7Ir0*NgWh4=yCYAZN@ww8VB0> z@GVQonjqC2!G#O%?xUCu@uJ4TnSjAFQSGAWq)1T4u2v9;-j7|o zl-V1i?a{IJ#@O%6T6+Q!?o=Cs*jb}vTumXp&oCn+^>0pm%^l_|mAiDo_kSv^jlT}+ zB+`@F7@?$yaZ2Ijv|jWC)F(!grLoMQiU~fJ_%9ekR9A0?vE=R`JvEanAji(0a>(;{v`y3L7cw^g%)}3^OV1 z7AS*@VrPq5_f%!i6o#0}!?Tsy_`{Y|DN*2g}geO;SL$ZgI{;YUTkEx2ivl*r2yj6;EeLL=B@bcTaK zv&zRa{?Y0H`K~9<^y0v{(Fwjw8g3?bxHDG$bX#wL_3YM`h(BGfp4=!t}Y$-F@Me<-*!8f^{K!?iXuJi5O-R zUPh?0pQ9ydQ=8|a{T?Oe9-YQ#DsLx<4)ncvl)Z+tlO^k+!7O|>$;S6&g+EQ`%E+cppn z`0SR?JQf{5YCk>IcA*pyg#9KwBlNd`URCX$n}SRX6;KP(6Wi~lLt+Y^CVyrp>oGEW z?x>>^oBpUXeH8L6_dQCv8oy4af8pI!UFi+%Ywj8TqEjr}yjN^gR#jc<>KcBi?e(oG z$SUJD=$kQ-5caks4bwJq=?&T`qE1w(R+{RqR}Upq;ED z;9-Ru^b^g9?p0A&UqGmzvNDO1xuByeDweIwDo(zVjkT7RRy6GIO|>jjcy;z?;P1Pn zzvUFVCk_dcoxOW=%lhveErr&Mu83L*Wlpz?Re$=A?^P&N2MV6K4nv+_9q&wWF~2?pgLm zt`D^H4^XDASp!_cP6DHCY1BZTz1a3^&5h+)*ArTN=_TpciFIGEy0hJz3apQP)oA5- z0%#8C($&`HG{}tM)@AZW9pl3_sqNET{_b6lVi!@MMLdar{u0^s78q=gWMVs@KQbFk zChwOY!Sq$M1OmphXb}&(rJZgpkSTMtzsI*^-}KJnESbvp{5yWAk8+w4m^~Uv6jPLJ zbGD}3_BlQriF@l^Qp51@2#GmO?2+`ia(y1{1*ca@avsZ7&n$NeGSl%b{zT>X^zdM` z09o2=FwbACBn08Aa>&U33+ae!iT8+ExHl+i97Y{IfY1rV=ryO|_BOZLb#u3?_*svYgH)yMojMUPFJrDK6}5zH z<|`N+M+r+43GqR-dX4V5TCFo`q<;O*(?{r$&PVheZh4N)hV>ga0szr%;2#=fY|L8k zdJssPNcoedl2TG+C)mGn%CwYIp8=n9|HX>~lY3q=6gCwjHd(~>0zNX57P&*pZnf!l zC}Xhl2EW2l&4dvyLQBH*leNxRb?UiUOO`J`bNDdnG zcPY#;S~fsae~^KA%*M7e>p(wgx42t_Qa`>{2{jx+7372GhM~){z34o_Zr3aF>3KNQ zX3ys4W~pE@KTx+?$p=rK=T3$&R~Ln6(N20*X#-Glnn`SRJ=kJeQ;9QvRi=Cj0B=i zaP!@`ex2B0&Mx;BOX0Z^orWabZ{P!uZ1v~*!l~%AeiPpj+(uFIJI0lwC$$+z8T}(7 z(hU!l-Cz$`j(z0!zDj6qF+Z_pH+r)m8AQ#}zOw8`ri_ZTI98NBOT!4Ip`$|7IYwDUnySz5{?2v% zzSsAA`+og#-LC6gPUHP~y`Qh=^Rb?IKBf13W0ltZ_yLmsQDyf(l~~}^E-vo<*{sCZ zK3O?L;fuqrb;_N8Tn5wJO)uqD+2hL@87U22T^_ChTDRaKs)*o&7ENSZ2B+L^w5c@3 z*>RjKeQM~Z(4wQ~`zY~a(6acS_QdWYJ}^*8=>-?LxFyw(RM;+0W-38TVFHG3WH$}h zC9EiwH^7RuxJE;Vc3u|Ej!NwpB3a#a4x>9Co#1?Qm{QCYcd4!#KPyqXk{liU#DdlV zScDfxCF{zsYyLL_5LmfHE$}PIP!ILXIE}kI?g(cA#KI(A(s5gev9N?KYpbTX6POX= zmAHKlkm8Iowca_;H)IqOj~KIU(!FSviql#~M&yL`UzSLS8a!tDH*5M_dJX@XL-}`0 zL*G=b-Ato~u6^iG7fVZ2!Y;D4%alica6s0#>p`T#h*%yBONN7|szVJc_3i6>WlFHA zgHJD}k4ZkQQD`zvjF_$w>9AS>pE|(ef`t1o6}`^rb*{hS%|0g91TdO2{+eD6aR;o~ z$wyh!eZ_n`J6{rD-JiYtQCFAgv~c!pjQBnDnOm z`yG~91#J)K%;jn$c?x!cmb8O!yiWU}T4c|Y5Y^4oJydP5rBe@S)R>f5?uv(_KMI?y zOcSbTHLI%~mXA@88Lp!Plx0z_V)N)Q>CGqb2FdMbltqhTacSN)+KlF)ri9WS0L?L65^NL$X!^2B&ZF0dQ`ROA9WZaX6sa?L!AkKh@ z*M3$?vllElL|o>lNA~O1wV|Arm3&Vt6}VSk(tUkM5+*JbBZ3NKRG04Eg_P!$m~sVB zM;YIlAwRf82}*DvTXy_+NwwQ0e+rQ;N=hNKg!KpbjZ_ysI+W?9Da>$7u7qF^?=V+v zWC1L%FTV(d(X8A=0QR3aP^l;e`r|f2#ury#EO|nc&2Jf8W3E|9T=haJoh6qCW0hKm zYtkEOLhVCL&#x}8>Sp8JDOY%d2Amn27$Epj;?A^y8 zHiC@CF}7e{e+7li*Wm8Fid4qb&=A?%X})3~uuSDhTm<}`LRUgn)uJlby}o$~zoowZ zCip4Z)~?;V6VV*R2(D^1o^Zt28WIH(zCWNTc37k_YSaK_Wdz}9JR~ajCSSO~oonpd zE+h*Uc(uX$4puyymRA1e%?kD2D2#{M;r#%JRC*EfZ@SXtSN469iDOAo2soW3Ci zYsyc9ZPQ|RW8T1mOIRdv&D=X=Q&BiVLI&SMG8v#w_ZKk7<16{coB8USH%|r>Gfa~n zpFt2qKD$D7bqf$?6cp%=8+UX{1R*;s8-_70O!#E+@!dPx&q1Djv*nOGf=Y8kW~C*w zK%OQa)sLsn;aQV6z6-s3x0REEP*#omN%me|Tre#%F*_I{NUEKR`GY4R2xADiOk?J! zyDOb!K!6E58_->GRxEghIO?*;AB0$HF{Q3YWJ}C3y&EEl%QtR3a+W3jDF)nXQpJNRa_a%Tl$5}Qq z8G8eolm&~I;ta5{8P<3>Js0`vD+HD}1J5TXx8_wf4N?nHsOrgY$qx?t42G^YZ+MLF zFa-Q###~BGgx z*TV`3$(J;eckkY1fk)6p<4qq#tYj@hGLcWu()S(pvRaG zQAz#AcpiB0#^GD@fuuWkj_upGZ(3sbi4@Vcu68fX_UT7dfAmFs%Qr}mzIHM00;4k! zPWMgmL)jI0AD@21Cv8C`!G7PkFP?yHOrvBI7LSE&0ceMzJbx@sqJX*7s>&TapbxlCjou(6W z>==Mo=i#xUPfJOjqqifwmuL7+yc_P1NDF}4ATkcI6_Oy*~!U# zup;)%b#87214&ROnKFr^zhucaE?-F1%qe3yq}+rQ9{3PW5(r;bb~gHYdSvDO3(**X zO9=SQkbD89YHrpTBmq*5F^>-v#q8GH4Nsti5!0e)MwYXIY)#lKUw1)d0bz@dc)+;z z$9W(Ss}5%-PnyI}#ujLZLY$Z}FT3~lb}0dOh4Vab%S?W5iD#31RN&w2@r|~SP&&g>+ia?lqKz4cI=|(FChNR zIcNpZB_Pi!DRB`I0i)1A!1DY+b*kPlX^#@IJPawQm3khdt4L=W|MY0Zk|no*AyJs3 zeT4|#3nY&okHeXh9|8afOvkkSVSIu&o!d8Qc#%!Pn>T`%4RCtSei^!0nKkKjAhZ?>lF%b4JJW@32V&<7(h zeo1I3d;6(u!+!B1Yx9xl=*M@D&N_t`*d!~SpFr}e`>It2s7P3FWPOvEC7*& zcQ!-~XF5QWs3LT{@qYFla7-9J*#4r@uV1z!=J%L{r5iV1riJG-FT6S@t*Efjft0ha zUkCK-_xa<;p~HsdJa`a1Ct3ywizCJCiZ-Kgx*`OK#H=A_`5axts3ljY zYDIzvKdFtH=3DgUO^+*&p?1ioS#pQj*XF>doRf=VgI+Pd9#Oy-~BWE zSfV~OqO5IerDM){2Ce^S=gbblK>{7vK8X33y=c3^SPvW$}N*RR_#NMzK8N-_4` zkbTB6xx|R%9`=uLf8IG$;#4F-OFTrNfe(GRQ5~S*G3vE-M$WSL&AVY7v#lF8_}B1P zsaj7{|Ge)@43FJ$*vb#6 zLS$j2(6{fSBN+=6cZl!Yx|JCuu`G`m#iLdhs&KwQ0aYJp1r=n_t!KXo+rOXK?Q54W z2bdqw7CvaS0k;vEtPANPy**U&^ypt3ic3n8(2x~9=7om6pE|v14vQ`xM}p*V?Lq!f z>P_BeQt3U7+GxL0o7>xV@bN@DE68xA#fulnhY8LHhBd8~G~=%TjKhmvy8kCJSu_(J zG{}wd&L+Pj0tAFl!19dpNqmv%TWf>`Y)wA!(q!4G#Wr5#Rf#yv+}SYQi1uhU2Cmy> zm~vUT9v@$DzMyu_Z<>+~#l`3U8&6s12UJYH&Yvew+IJJruI9>+F$t$uHr{Te50k$0 zA-$WIc-xL0j@{S{h%~wTTR4tcng>&NK+h`3FxmMbfOpZ93uwFIuxM-jr@zvBd_tXf z-cxGz?rP%$o*S8SH4a&+>(fk6SSq#jJ3ddx^OZ%9X9TkD_io>_3(m2Lf&OP$Z)Q_2?Y%(0>_!KTD9cOQ{W zM!M%?*$?q&wsbx50pX(OZCV0R%`*kTA%OfObqMqx>5AUNv(s<*7*{Vey2V0bvsTR^38^-~GA(=;nJkW9b+)PTsb17^K2^_vIj5hSNIi7!Enczxu<-X$ z7p2|3n;MMeNN>!T%p>4I&yI~dFu}1^V0WE56gw^0WJ46aMN+N7Q(ICOxsfco- zjD6E7B%-H0sj~|{fyr|Js~9Z;6F~I$@+A${{sGM^{Bu9BBTHDLh0a!7%_yKQ7hs?! zUB8(lEAE%6;)C`7jPyLHEKVcgL2LS@cMy|GC}DrDaq@>y--6tBCOJ$@u&HIwpQEes zQ_q3H4Oa*u28Q2=&1ZIfS{w_3H}=o@NLCxs7P)vz)a5iuB~qVZVj}qkQ;6Splzi?u zOst0?@DU}Ai=cycNL@|xE8~ZpS^Fo+5;YM5K}TIPss`jGLqVGAf&|#p;-#aRYY?v| zPnq6>OHaV{XDirlp$3FBOr=?-(28ylZ1;|sebVe5yy%M=MU<44hiPigx3MWLFVA!P zF#dI+;1UZ_CoIF>F2oIyk`QTA!?8GyT$UxIBzJJu=_uIL;yPAUd)yjVSD@u8x)nYv zTCTf*$qX&TT|daq9yD|)3o}1qX{h@2$@CAJ7A&Rw29XC3n#eoBGcY|fz>uzj;n5n& z!~$U-l1^^*0{TECmxT&|Rs-3S_S>$`%b(!Etfqa!I_(Egag;)qfnZ1=d7z@go~{pV z4Z7AP%a#Qi_IuZpF>T6}bPx#I4K|c^Tlc@vq|5_y0k6}&m(82EfeOJBC4_~R14N!l zln;-v7vHw}#l%d5yhpF=iSeeha~NG);foi}v9kFO9t^=^NpKy45hgrz3NGU5eh64R zOI*8nX_5f_&&<^6ddR`fr0$=;XpuAH+gmO(G`CfK!?LKk}Nh>NKP^^=+m6C4Ye`D*Oe=E;WtEeW08*X5qqVZZF6)S zv=b$8Et|r6H*ZtccNQ5Qnue|n(b1lv9~)n&iGT&@^Gk(%9iETCEoxX6TpGgXcg7`~ ziiutRwOZKD@iQ$g5vJUKCXELVCu@jd?8Lnq0qUY`Lio*3&BxtTF}$*>>LzPGIVjww zNDty~OxQcBWrBxnyn9)ygIP+F!wcIEg-`EFoH)eP%GFw+InF&L{|2pa!=rCO3Gc@^KFk>0 zeU`PPE6>xTB#y7aFP&hv3(f_1 zmSE!s9~*`kyRpOLXT%CHdW?IkR~fX9oG5~&N6X?Y4$MsX;@2o|q?bVpkTEv#&K+po z9wTSa!FPQ#2O^9YjW+TEZ5GmfA=t=DU)o;1sAFM-LS0^rAexg$ve9J}2_>lF`>>$M zxSbwME`S@d%Y_UA>7ATp-hwObRS$)KcO&z2OuwDh!+Ntwe8GJlqn%ys_n$vWS9D3Q zU=f<@F_X^ns;Vt>sv#JDmfsU1Jb^ZCs@V%EYZ8vAIAI9Xeri0KVtSLbppLe8GWX)~Hubp@9m>OQSR-3!_Oq*WwanT$IjxK{I(^Ip4>NB?RiR0D_S#nZ z%t9wOghm{4P<_eVC)s?irkALFcv`&m%j;YEtXN9#dBIbv#wvLp1gXCETap2d$dFmr z%S1kPf2#_6RDR&?3AygWK9X)%CcG#j*f=yHLBniL!A##P1j{smZz6SSsnwIH4l>t- zz+$;{zc&hL;7$SF;s!e-$p?~w4vFx=+9wKj1^Xv|@oP4Pt{PWwNL?e|@O*!kc|R{K zT)lq1>{oexuox#jmGrgbB*w%5I0h*F#J*FNs4no#9AjdODl~anWCR@q@vYI8B(;1xKY;20 zq(YD33uS6$MLQ~W(bBd19Zht@|KcHwcdUwPWq3}eF9cX=i+7le3+*`?<8<7fvB9S%gItfq+O zNkb0JhGA3^CN5T*g;{EC^6+3=lz(56Ez14+-B)o&7(mDw7Ukekw5t|zvqZtEcXL!J zrpy#*bRcbEUr3{1R10~*m*fVbfoP9BbCxTBnlD;nTJfh1(l@`r<*diRWdvH2ojBCy zH3;DuowwiJt~$RbMfyP1b}PrcvdT#X~*+R zCNJ${5>6*++FM>%u4VMpRxtWz=R7(T{-MxZ1_x8%pacVE-a{M-yf*$`d_lEmagJ|z z#?@;jBl~ErlV?v%wpxiAhk$Da6&qdA;$$01!>*v4v;jb*-T+lC(YXtf}A;rgJ z&RVRB_0_*_`GwhvhdlLpK@KmohDwy@N++iU%a%QDUD`I<`2ImlIv?TXw^t9hTVsdyH->b zQ9oa>P3uG1YRqXp**!I)vdFg=dA!oP; zlRxU8+a&wGpiz+zKtbVq-WtT)_EDEz3llMDBa67XJah9pE^nJvF&HKS*RRWm-sl_{lx)k!FHxcpeBqX;*$qu5g~P6?UN5dprWL;kLyr(VM64A~n(MrFkdH08Wn7(JUQIX#Py1l^o62HLji*?a_3vLNuTSIT++Q>O6&&}k z%4l8x%egHf>o+(0bBM&Gjj$@aTHWB&L#EA@UxTFGdSo!E);{TTf3b)xh;18zl59TC z6PU13OB7%Exv%DPVK$={q^>pN3K0AVL2H-Y^GPFWorzf0~yCi507uq7URQ9h1WWIqCp6(y#XBcu&VhRWh5J_^#vgCM$v z0gviPpYK?o3#CZFxP4*SNE+bWr}OEHxbn241vx> zVuzXC04w9Bk5=%8v9ZgcbS=kaDs{e=<6k4MCs`geT-7ZgqRUrm>}hrx(i9hr35uy5 zNmzbWfrjcnXGh0PxC$YkMGU57|rQ}YJ_pS6oJR4PI2pteB9^N9FQ zo5SgbNn^zYv2_G=vpBiyvxy#gK_MaBuYC_4L}!b>+PtQU$Poy=M4b@o8>7wGD-l6K z_i1A|Wd*Mc0S88nT4(?K4qGGS#%5NH z5e5c`E)=L{9|!)XQ(F{PG0APImtxqkm-Oj z{T+U0k}OSQow@6!pX-1=@iT)F&sd!I@F9p;@V?_1r0ZInH-#jzGmXgNjmRlzIgrd& z(G)Y5aH0yM(ruP^QyQxzY+(hcHeB`O5V#=Uz=`=Er4EY&Kh--SbZV%1d*F=_8wD!| zJ;!3D>D}l*KtD614sjY-Q)ZFG7tJ{2$x#AJ^A)$lZ~}Lx4i8XZMg!lj==$jg4jR8Rh*ES=Iw*%Fxc?-eJT#`DGo9=pK+2)W$XtnTF*a(7g1LiP8OTR z5N|n*qyPwEA}Fr8DxqVHjV>BX2W57C3W7lnJ`-$zC>BP+?Ar!Y|Lq*TB)Kg8vwZH% zKt6nj_s7gNS2;UhzH|u(hwtKFz)`g?NH`Se&c1yGu=kqSOfK4zNOZE2*mFotbX?)P zu4OkjLB$T!)6Y5L%w#QRr=OaCmVXicD>RQ@-j^p}tWClICi=sP=z(muu3d;R&fNdQIuLxUlqTbr%=YsUbbe}T`FVMh5tutz4W1%X z)a6-C$hB*mZEasm*iNMxL;d)LPlxKLq31qL($>9Go;Yk zd$^(0<&T5p#fh2C>yf+_YHLs=-+FEsF>2JbKWbqDO@EjQL}~xyJ~M|x(~JBg1b$Wc z6A~%j)OnlFcKoTk$5Pn}-!E1Oj~eSN+z7=N{xo-DYtz4JQ21FTg)ctvSXum|-Vp6R>Aqn!0M z{CSo$WZbx|Q1&=L=+Fg9)lfV#Kpo5oClLF&ucoG=TEfz@1Eo9N%j_i&Xw?Xd_>gO0 z-1oOh^;jgI~kSp)T*_Lha^fZqQYkWeVga386Xb@v7oxQNzuC}&- z{kLIZDyXJ@L>3el(o$SvYz|F9e9S5?&3gjP0ZPKJ!6)AQ&jDkbVzf<;q=8skiir53 zts_kYleDXA>Wv#}58K<*2{CYYuc0xf31>zTXd3KwRkL4Wiyt&7uyQDO5OT`!J;%rc z-j3swF4JtFH6sF$fySU??hVbzxv=k06!xAP#W_}aW0q_?ZRZhOl< zLc&d1ibgmkcrO#Ot9e&>FeOziz`NYU$Zg!*j43UY( z!oI1y3t>b^X&J1gb&<}8GdN{0uMh7tdrbqZPIEK;0o8f-Y*>3_L2>a_ukU}8$%sLi zl)U_W9ZgMBaUYmpY_^>O)FJv-EoYh*6dZB^%Bre~!F&Wmt&TT+FTbCl)8WczLDA~M z#AzN|)yUX-c#4feQ`HHM|K!Lv65_$Xt*sye;4+7RpAiV0)(4mOo4XUTrblm%qf5Xh zU%1PX2@9JUGl$&;R&x+l-+krs(Ke~}HqR;=xvq8Sg>4b1a+>2NZIjv4+h;Yc zAwytZ1~OLf&8;;9 z1JrTe{}d#8oTL6~Y6p%GUnxFUgv!6MzWytYI)0Xwrv$=@(vGXMHT6wps~QgxHlxZ0 zVwUhz1a3%(jbguHlx0_o?tCT(WcF!2gsoH!8t{O-)k87H&KUUFyZ@khNusSIb!M#Gl8|KRwVllVF088`r(0;|`c~1O@m-kl72x`A@h^A9YMHa1>C zolmwq$1znSWGLW8{J>R8v%WZxQBX!IA@2I3@qs6iy_$rxC|>uhd1N9a_NAsi|7Hh; z)yok+?X|~9^hCpl=;t5-swG{?^5Z-5MWB#&DdG-+8Pky4$d%)M-EQg9bLa@zzX{fi z1cOC*Tz4F=BS()8x|dM?I8N}SXK@G>WEeHK1Iy8b!1$e*v~493KqpTIsn1xs@^7jX zqIw#Mu`bX0|6GiTV(eJDZ^FX}W!gJq@I{+TrWO{m7g%sVKv9v9Tm}d%4{*WgkPicF zupvb~2O5aVk6`^z%V?>3z6&n*sjCe^u$Z_L=aA;Yx;pxO9vs4IoDN|a(&-sAHM2Sv z>r`_4QahmYXefWTW*}jL!Co)`m<5iWW?`{t@nUocf~)aPi_unX&>I}ESPs5z7UB8_ z93QQ%eV2Y%{;cTv6{n+$VaOp!JL3Dn!#VhA^chMy$a7@$z3Tub$o73d2uAtoI?aU)`Fi9 zsR*OkMAQ)Yvq#vsC5!x9-uo`zlCi!5ACdioUaG2H=iZ?3GCkWYSu)D@W-Z^DOH&o1 z6<*XF&;Ha!dcfD(X>M-;+}!^a~cq;`NSfta9 zSfNQEIePHKb+GmnH9n9RI6ZD{6!hYyhhx$HGQ;B#U>7TZHP<#V74Bmr84hRDLhC4pI2jT#2dW4)9c%tgTM_VGSwC0`=sm^k%Eb}c7bhu1_ z*AxN<8KbF%UF75}qxDu{(?3(N6NH?Dh@73yBo7%oI?=YfTE2GGGAH+eYF#B-9*m?{ zA60HI`?gMoCR=wuJ0U1v)N>g39X8Pzz|@}cpN|%&TeUe;_w3o-UPUv>C9ggPW5d9e zqUVOJ-wj2RzO7|NA=V-IsgeuJ*pcR0ZAUg{kDB`QXR*=TFo?BudlN~eAF5rUC-Gq( zb&1sZp3#;e%XtK}Sha0jgmM8l@7xKrjyQNwa@=5E*;*{?vUQh$`;tyuo_@})RWN3? zt1B`KvPJG+7u>uHBv`-4nK645nK`22Hy`Hu2zhC{d&0p$LA)94Db?d4w6?>T)bVDa z1jCT1WxF7k4FS}#x?}q=JR^jhU$EGpX=YHX`^xf<_^i0iGw&WJX%7*=TQ~Wm zRw0qhJ)9h(@IlUKCQx?u|NJ;J0Q8QAy0ffoKw9C!LDO4qHzDfg6{ihDPtY=`?dOo# zs_N>@?V8sMYChM=n}lPrs6YKGHG*lxZ;G+6q>tC&9cZ$C-oaqTn=3C9_N(jN)h(Cf zC?xm4mGcZK-f+Tz_b6kD-g#c4@Yrc1p3$b71V6haNNZCDeD3q1qPsOWH2MqT+wfKG zU20Dfo)5&8NULvhPn1A?qkP67>DpgzOT$Zhgt?5ssm=H3-=sU#wfy3#e<65*Q01oE zLULtsPLgrk7qNOgfnT>5j95s3!ZJzG9r(BkyCdP@RiAD6JcYf1F{yqskBug&+ZYS- z$+)&hDk91fuOZTi&rjdAaoHM^xY( zcQoifYin&V(@_DV_iglOAIZMy;&fp*B1&OsFFpv&M(LK{tnc4TH8-&KLK}l7_d_!qgO=bt?6wgIk(0Bcc$hyjvVv);1{Y1xNu2nsTadka@mJ* z_~7PXoax9cN=0C~C)5JEW7a96QS7?`wIbMl_2$ifk?PI8_}u_2=7{^+6jTotR%DS^ z?QD=b&b(7BO(X*pd(HS+0v)<$JbijBD$12flyrRvrGn9-na0unM}WFbF5tjfl&kv; z=>qt!w}GHoDJ;w^7z32~BBEEYsbrt0_ALjVtA&~;Ub(VKKy)(nk#u6=yiRM`eqdNJkN=D)c`gdxbu)XcCzpnX;+r_s}j~6$((p+`z(Zk}jVDg2B z*PXkgy>*+NV{utobxqBI+iHX40;UYc9Z^81_c_IW;{%j`4Z+gVZfYvd)$e@AU3%94 zUcc-Sv4e*U;mYQ^g?rgq;|?RmVhczZGNn)@31Z&7W5SCMu|vG9{@q_Q2P=+0*s}}c zFHJLQv1O%bTKSjrmAK4NG2dIV&s8*-_g>tOcIpl*xO6lW?Z5)E39F> zzw!)IC)im~z3S(l6)}4rIyVi^XtSckTYiRBE+$foKPA~1C0SPiV%AgZq;}OYl^%sZubqb{ zyjOQ+z1+#jc9%~RP>Doa%FaCUAjT@?xZrzHhnuv&*|nQw+DZop$nVs`pGcc{9!Ezl z3lS-_w6yT0Q6x;8O`YV8EEe~kz%@$1ql1E$WKM3b&X1*fFqfqWqspQYb#?A&0 zS!xOE$je7~TFA*bZjI}dZnv%DhTV=0*sHCx(bctHd4P z>Z_!b)!J|Hk_9J%Cycv2HvH((&V_k}Gezf&CC>JmIDOZRn`~j=o;pN?{4+KPLPWa0 zjhZN{v*YLCo_48!#ml@Dq8R+A3Vv=64`G`lF!jgW=qm_OQ**06zrJL%Y#FR(YT7hx z;;f>r>W2@t326xd$USe{zAPy4050dnLZwB^KyS!@f|3AhldyUQ=#VAgvMIhaA(N$Y z1N{a_Qg&DN7NpclUG z7c+le5m1^jvxg!i=AJk+<_T?Y<{#!&tjh0W}u_*D&)If{)|t_*U|M zgVA5a>argpYvRq6O)eo8Noa=jWis~f-Ai)S^OBOc461ZKI51M5S@X?gBfCLDV)(P^ zff+ELc9~5S5Go{Ni2*@LI!PgPvc9I~T3jxeUBH>q|7mF(p+rm!^9sF)Sz>>7LfjL# zgYEl&e1k=rObFsVAc#I-zFh|;Evr2biUKs4)N7Or!%U2(|IS+U{`);5rj*jTcE zs-Xr0zvN@-M5QkXt-*+7WGI!7_Noj5KFL$HV2jScNob&5SFXIwx2)Rv=0^W|-)(Yj zc1KkdZ{N9tGmVIzjBfE4FYZ5jwC^#|ZJit^J!lcG_|2QIk-29#&tC-@D7JRGCMS;| z6;sG>Sj%7Y+b(GhA1;{H;*5P|I}c$^F{e@ycEh>XJX92P5+Mbn2mp*Gx~r@uot7B{i=|N{nH}%tyD4OuQKkbZ#{r8ZlNoOPm6(0$u^utB zl!P|X5sV*yPci%JyuH~OwBua+C&q^uphZSd1QMJvO^D4r{#MdQ%S=yQFv-cLJ>v@!l%m5A&k%Bdu5)F=H^49JmXG!QJo`LT);Itf7H_XaC(Q zcohN5`y2c8kH`WMYyS01SPlDz7Z50zmj*FtGPKBHW0^H#>kzRV{?~;D|>ABE|{m4-N+A1C;-=5qRQ*^J(z}2bs}b(;j#RWKeDYW5e)Fxb{%&$ z*PJ(Zu8!c4dd3@yW$?iI>({Q)5+1~zlyjEh1|J7bO%kV5Q8D81 z;myLdKJ^yCRIyeE_UsAFW5Ao*2A42Qh!HN-#<_p_vgz9@<6zIC#c_fPkg(B9c!Evj(U!y~O#1P3jC}RGd}FcGatF#Yl>-C|V1j*3&z?TzrRCNLNaIbT z6XFGBdswFi2#D_pbOn^Rdv~PqY->$Eb0%XEQhzXJw217?V&*|1P0!D@I%-sRlW_iJ zZe9S49v8?M*usRz;sUBj3aN;%7Vr_#$=lw6#G^6>Vu!LW1NndQh*gFAYMTaGHc9 zKwgbE>E5$X%~xr-xb&LfouR~}4V3HL`6&nwEkWRVyhJ_I;Uhs#FI?z;3__6Q#mOlt zgjH%V^TB=v1)19oYUUA8PLcAonwz!dO=;BkAGOA!;_FxBUF|45YHMo+MSGI$$LUbk z)70fte@I6C(w($;o}7#+lN?Ol(jTAx8p(sDxM%lS#|0|2?ca@ ze7F~q)IW}9_4|(>S;ct-QStxqN%Q}hjG957DK=F!`oeTMaME}vCZpID3m4Wy1%PmA z%54M~=S3A#5u)HXKK zE(;(jq)KwK8&U+!Hrxs~TnicRjw4Wb4tPLD4n079V`E=MMZ93#LX2L~kG=v<$ptWn zcUmSlav~xZ470U2NzK3@4X_TMO6{hl0530%`$9Ap)ezGqKN$ZIgb0efbP!Sns%7WS zyE4Tk^B~+20sS)|VT(amUT3>~?;ON+49#zinl!e6LPI=z z){ai4WBYXG{|dg#8zbzJG43J~nai8o+1+EkWp@t)N3|9z#6x6kgRwTtJRIy0#d{ph8l$NVTA$_l?c&}R)f__n77U!Xa_ zGHu%TjUS(8k1I$$2X41e5%KDluS>s(T$rKlUzCjGT_^5q_)hT>Ad{cB;)=TDj!b>I zgCY9or4apAKp8)j|A(*t%6jz31rMzNe8M@jnqWNzl|nF}vIf*CIwmHokpqW798nWT zuRl&KIumQS2Nt=aYVoYd@P`)7>Q`6tPv==f)z`r(B$6M$K}en{Ad^_;vrcNYV0xQD zzwG8iT&+ns&_MPF{0m-QUQFTk`lCke3-+X~5SBB171`7!n-D@+|*f`6s%lJY2kQd6B2>EIT8&4Oy(g1V2*#zz-3F+rcQ&-n2N`7HpoT*W@ zOWZG=So&99?kA5QJ4`deny*N=5MJm>Z6)}0dHZmpd(k$0ZWUxf$l1En}R2Y6L9_&KtBJ%IN{i{t%{Ph;m5PBZD0Db~Q-+MdM zun!+RU>!}v=5M*Y`N0X15@z>LLjw$wD_ZQQ61pnjTc@Yyc#1;Sfc<%xA92|mSSMzB zVy*jEUM~t$!P*FmBuG#J$IQ&c!QI`!?3PcP(U!9VDJ-RwTV|GQaVODghX-lr&aIK@ z(HP#y4y&b$7jFgXfbic=hRXJ*HDy;$-?_8n%$)<-0(1(Jfx)IYX14)I7fqS%rIim5 zzyI1@!O`Xy*i62Gq-e71-Z<*v#-@;o-R$w7lVyec4P*ZlWSZ?_ zV)e(NQbMW2=g3h`{ZcgYe@C2kKSG~#=ZtN$vo|>%hh6EM@qwXH8|#Nu5i^gf?gLXU z_qY6J3p=~GvMzGp{C!@2udJ9FG>hU!HTJW9!;%8j5WHx3<_rz5bA1gPKK#L>N3^!t z9zeZ%d;1-np*?C8nB(#$9ebbs>XhW}pN>yTRQ@rgru@#04z0b-+_~;>NAR=pZtGb# zl$+Zs>Eic%BA+4wJhy$t>Chfq_Z5=Iq97wV$^fWAivgjn%e0)mJiY9Z5~B^HEdLgr z_Y@?#_Vx^R1xJ&*c4J!kA0RTi_w5%bKQ=r@0JRX~6Xu$8qI4xyG`T5ZeN=3{&`|R{ zf0YGrFLTt!oyX0ToFXI5TZIo?`rwSKOPdMonq3l(i%noZ7D!3hEe@!KYFUta0%wQE=(zz%!H zU$Z-)5pLBIclIL>%1Lhta#_QBBel8)6;%HH_eQ)c*$b8Glu^DYh6Vlg02vXwB82%O z70sXZ_53=V(cMQFzA0>>({}flrEX)n$oe9YJC$>WR28;RUIxF_M$U(qR}(@s4(;~k zqc~=e0&O2wD)k^=2sn`8hy-waJukUzY3op)ai=_;Ledm5Nh*wg*;b=}F49F_FLjXL#WcMG$|Sjtb3F2osLNPY6yn0F zW-bWV#}xO1t~LslxW4&5@|UEro9o3>RKPh}AGfU718oN?hkPZM;PU{v zfd7H`7AcO<&+O}FFwEZ&ZNdz7c}f^f0)mi@yte3bv{&3!F0P;^1EZ}~43oKjV;DLu z4vcp#d9&=Kei!H4Zqind)&K}-#B*@t3Uat1x4L!dvJDLq>UMfx_FghRR z{faK4XD0ShM~)vCjp@P{n0hT0LnQwN-F5Aq{|j_AU7#VCct_RoYwBiJ*wu^Sj-u$BjB^mEid;*m;T2fvHQ8#7xDRLq7!A&WFd9fR+Ti0T`RV z5fPhF#2^mL9q1xQQ%0~Zsb)g&lX^X5W=_p5z`(xK{bdm#B&s6e8#36j>o+zw z4F^0P`sw@o;}aNsa0bIW9f@&rNe56m-dM)gsQDIi490lmYdlRp5fBtOk@l2{!5u%G z{;>Z9Jzo*))$!-QW1;^Q!`1CS)Zndi!yjP}Xg^*0pyLMyE8WB~ gTs^`S9*Ct+hY#5EeQ5u33I5ESW@UcS)IQ+<0mD!Ic>n+a literal 0 HcmV?d00001 diff --git a/assets/data/attention_table3.png b/assets/data/attention_table3.png new file mode 100644 index 0000000000000000000000000000000000000000..d89dd9264921c99200fd13cbd4fa2a3e02ef323f GIT binary patch literal 78963 zcmagGcRbeZ|39orky%DoNE$LLJCaZ`ib%3o*?W(QLb6h_B^4rNlpV4vJ3D*J%E(^7 z=h^3Xe;?obzJKHT5 znuR?=uVkp$*xfI8zLHMKJM<%(*7BqR2M_jVC}=;x;_#q|;q&C-+f6aGu&LiYcAn~R6}4R#MII*4w1Qyph8P{FIT zFC;a6GZF}pdC*Mk;vXITt2IsIa#3OA=GNx=p+kq5nV5vN30Elo{nxKweSNyuu7x%4 z+3~XZZTmG!{K$I-z-{^-xQiZM2iHa0vqPBT$cf7L5ooNVXtB_ku7 zn3(wDxxTcqYA+`z=i4~^J$!Ov%^mGeDLyj7%D_5@I&K4CFxxFnY;kt7l8>!L9&fcC?(yQoB)2oc) z+m|klY_2c+$Nc@%rzeVZ0O-;=iziUad-@kvK?#L|f?LE)Q`S9wow6ru1-{Ilm z*WN0ssxbn__{{pmi+;G+(fYWwl$7J#+}(|hd=BF(OBxq0UfjiY^z`Y|^A}6JHu1G% zqNAlRUUdG`JN^52K=#06yw9DxcR$&mdBt<` zFl@h&Rrku@-_8AHKJVYZCnlqpV&W1M6y)UG<3}f>>)HOY zSWmiuh~&3#-!3iWgx}9LGdHJ_e){xjk7H?Go-p1OSI!>1wlX)gFxG%WNw_*gLt|rO z)7nV3)29`UzSY+UKYo0Ym$$v8C6?dt(Z`Q`N`JnZF7^~Ui-?G1o7An%4qQ}IQ^RQ> z{0a|`j+WLs_A%}{4y4um@OPQ52M-?LR9#DL!OD@dh~L!GDjZsTK>P2ezIy#yMni*+ zt)jZRx}l+=y4rc*>z@4&4XmtK=;(wz*Zw+Aww>0@+MTOP4e>a3N}*o}00; zOumiTrVZTO+-J_7RgM#V81j2;Ovq)n-?%2?l8j7klpxo!VGw>jr-v)YXt z#l^+BmR(C@3EuJNJ>9-P<-|L#tjuxL4-E|&nwXq(oM^#k#$mB5DtxcJVfPhX*WAP{ z?asGf{QI{)RwUbgtiEJx?Gz`canq|yfpok|%F5dd4U&Iw7uT08RaKkCoM-yCMI|I~ z#^&bJX)$H>TtYiB)ls8Wyb zm}2x%Hny^Ej^4Vu1J;Aq)hATnQp%Mo+IHnyCpZ5l+skp}2oamZM9YcK2MqN1=mi7> zND_std;9B9Ek#7~y*Ag1y*3XgudJ@J`JzBP5>mKwg_c+63FWQN77RhMHlN&;7GwOn2EBO^PeICVSVZEb1s4+ucXGyLki@4eR&w$356l7k0ds~mSBA(bX68AfyJ z9~vrW*h@x#&(x%hqWKS2{ZFq1DJiKy)DyqG&P@Lra)+Y4yuYhGwi`*}&!0bEzI=&l zrsQ~#hLW;htvU;zb=TZ{VIg-_(ag-u4X0|aPgz*leo4;Lr!6fko=|4xOplc zE-Jcu^=faidv*7v^dSdF#{iw%LsdcRIO)kc!5s7P$BrKtwjHd%p+=?nJvm9(%Or_U zo;*SS%*n}#NO+^Wn*N!|`qc5`H#Ic_ww>(k3hYK6zj^ZpM=2zvVRoQg>;{$9hCHDH z-bhhb4oziYoU8dibrhRnK6>TKjweCO4LF~3KT&p{UFFg($k z1|U#YRu(6!^vCSJxtZCI`ueJ7<(itBAtx7U>@HT;1oU-7!=#TNZInaq8t~Ec>J*{F zSlqc2DP+wup?Kb7B{V#IVY(|fO3*ZG`tkGwv|RK#>%K2_(PsnGetbX0g>q7*o{LV@-Q|dv$eM{&n#Sw{G3Su9J}5yr5;$5FZy4v%a=ye*XNI=;*`3*M9&0 zec-?W)bA4V@wzF?(YfG55q@WtFuC8t_w(AB52k+gx zw_>P0Veo#!o}QGvycMi?*JsP-rX~hSFLA0pLvt6O#l<5|YgLU%UQLj2AN~FN`@@mp=QNQK5l#bNAMPQg9Ud96E#Tf> zcgu5}j0g-2MCZm5aCqT=+h%$SpFe*tWckZ?Oogb2)OoY4eC^lM@NgOymWxn{q7S=!SR*Wtdk;i{le6B`?g?=f_DfUup6zJ=C% zsiTXesGYP|^V>E#FRiLdGpAqw?VHQm-xFUX29IRfTV_1z6$<+H^NqsX)y}rIHtxdD zmR;)V>Q#Dl-B*L;jxC?N_=v2t$W_p1@&JQ?@6E!{wAml~Zhta+e*gXsA9FxGbj;-Z z{3uROoE;;9{DOk$iz926O}`zOPMtb=vZ|^oUecQ-&D=?!&t0n_8BPN5KR?A?)mJ6}LlGf>Z6*wI!zJw36Z4;^}rp5C2j>+@}OV|C$;!izx*4-b#ShY!0v+1X@i*phOM z+mY(fAplBdF{kt|U%q5z2`Jqzb~~%kLww-yQPga^;cpCrCdW^lK&`2)tXx#_WFULw z>+1_Z`03N)V^)BOXW`*K&NnnPh9WQDyxCD%`6eglV7nC#L)>QiF)pql{nxl9?d`d* zUJasd2%l+hYRdOqce;D`gw6q4wj7*ooWhQ-uF3InCJDE{IPq93xnQQ>YQ=8aL>k!O zIEj0G_>F%Yqz;fN3ha1%=oG!hL27F0W8rD<-q9D6Z8gcJ+thxt@nvRVsqYskvfGJ^ zeEZghYt&@<@7Pkc*G%uBEiA3uglB-~&+sII2= z`pp~MM8~C(+dcQ+asio!Fba{g)~9FtJWnW%AZ!@e6COfY90qNDSp{5rC+ws@*~U47xlJ_{==Ku;QJ9P{HG96s)} zDPD7fmo8qsSTm0g5;}9{YRtJHOKlssLtb89XU~30SZZeycj0R?yL2o(V2N>7>$-|c zqhBG_FT0HIju&;Dm>a5Yeyb?v zG}Tdhf7f>-0U?KbhQZ%7-QwC>TP=HwTr2#kDhw2hQqt3FYiiP7zPwkaN6*0UUb`@& znRDm8Kt3R33EHV_trFCGCex(sb34jc%&;Io&C^yBS(yGyrkGkxeSx8w>{N_I}%^Q9|4 zFAtxI^TtpABnzso`ViTOiVl!HTTfh_b4Z4zG(`%VWXz;#d{~<4srl&%K3s|l2!u1m)YWk|KR+J}l97?&^1#JJBjffpHMQaQ zuC_bIWkKM9t-QB4bF;G-(6aC~HpJp|wt72vkcU5g8ZGI)1<=F-h+$CS&oWI!cktk| z$jI@bp^LA@y*6&@>XsC4HG_p5U=d#dz=jz&e;0t~>H@IrIx`{D^upVV~6-ySFmY6og%z_XPV7u3~r z%Ee2~H2#!_Aw&cRlbf!SVf}#-l%vlC9G6AY22RU$yccuUoOVX0={z6>F1f9xrC;w^ z%qB1{FbftLl(JkknR?6vn|Xa{y4;*|M_V(rX_w9tk+Z3MypC9Bk7?tvD+ys zEAyT_Ne#f;*l1&8ljpw7lkp9;bYyr~_`1oc9d%IFnZu_A1fFibzbz?ozXP0Agz+R$ zkg=($U_wGi$IY2PMD4+NyP1IVU16c2d}b{u`zN+oBMYUy*OyL9NHFirb1GHYS9%Ux z2K9MvVWALp+}ip+s_?`VO~cct)L7EdgU|@}(H!e8a8!_y83s*BsV;I|sA_Bsy(3c= zGB(?O(bCe=*m$HaM(9&c4xlOug%$oWH3gA>i0$CKhI;Z=vHSy6AvZv+YuB29!YnK; z11>&%^awS9Uzr6Y!4=9%dU`sFhnT1+d%f%C+9!X1|M+;8Flt6dF~kIUe;Q- z#H;T6cYUk(`$$O%n7FCwdrgg)`x5tySgBZgIyzH5y(8@G)b#X`P!Sm1=6n z0DJ*uu4b#pE(H&Yi;X=88Ev{th=GB@U{3Dj^8(`gQK<2Q3k-Sz7LuFM}R*o<*9@K>&RaM8%o_(I}{HTxqi{W;L z*PmaD&_vVGx6r?E3jAc)6=Q`nwbVVQFYV|?$GH_}ZGwHjfB*iT^)uO=sKfwI{UuN@ z-TsbW18T>2Bi|c2>XGIgk&5y5AQt4gnlIc zX-7Qi(1(&OX_DU)6DG#SnU-q_JpMsJSjXCsZ2*ngujc4d#xwNQ2e|lnc&tEhQ8}Un zjDO(E)z#H?Zl^c{MMz6aSNLsw3*$gPLcggt6u~{mLQPIhZH(42cBfs%afgZ~A!OlS ziCql@`-@c&Qrp}6yNE?aMS&}wS7rwctDcmpUi8FytEhOLk|M9G>kT#0XYT=a^{%c= zLpgo@0dO%$pnQ8ynhJuUg=XNT|K;(@EbOwY1BMva;-!XL{n}<8eJknw)Lr z<>erOQc^F0F=dmOMIBPKXbVOL@Uyj)gt#0uuA$g>Jsx2sld~=OeLV_vQN1 z(tE3&&0imqLWJ7f+=L=A_rR^&ekTDkv$3%qKfVIt9`~Ilt?y&_g9l%Mx&Rak^~xT+ zetp#3d=jT$5|mC%%pD>fNn*+NRv~BzIu*TA+N)PzAF;^eT?PgQaC`yB@%>L6Ki=`# zk}>n|QMfO&Evc$2)zmXLWqr?MYx45&KwcB{dY!Sj%WC^P#7}z;0~CBfQZz$bH8450 z*!UMO_V;gWYtzX#Ik4vVq&JuLWOC#0zZ9(J57N;MDWbMN ze|~A|?74GGfB#l^1H}Uz50rqR14_&p96^OE4{$lr4FbPwm(P2x+`$Uy|37~G7%aPo z4R$Q}wwhW?Vja7fLSxKcH1`2jFd?_W(TF z+u7~jy&I+h*7V5HqX3CA$<6K#vgJ-7_CT%i$F;6qyLRc)p3LRZx)>1fGH;=?XQ%s0 z63WhEYjg1MC|Q7{R8>||X_()+bEjtCG&+~erAq;I*nqRxxQ_P$@?aG5=XR%DOL8m7 zf`E$tZW>=V^W*ucygkn%wjc(Hu8psLr^Fg#Dyth)6yof1-%Q* znm^DzkxdF>5IlDJbWj8@)ZM}ObRo~(0!31Bjq>H7gy4X4|H17E(tZT8_$I`}p^< zp;eX%AHB@vsj!*xahJu38ym}L8CZz4H*bs$45$wtRMXK3ri67;eZL1@+6V1IS|+9^ zB`cmD9ySTK?%Fw+Fryi7089a|R{p?R7>p3%VLNq7fov+s-+u+* zHv|UFhtR7b$$d^2Fw5(uE*H?6wIO!E7TMe%%^{S0{y$8q9VmKI5kz9D(71=h~tIh z4XN3e!nYOcPiX|=fM`!PQHC(s08NM?@BeSLYs=SfhI``W9ORJa76od)`|-fQh9 z-EiOc!Av<)*p_|nIqr=VSps{QJT%ja4Be(vxcenga=Ey;paR0&;swN!l-x!g002T` z1k(C~{_Ri20YO&%{jHIyDGLjW4cvHenWyqcg@kg^y$`US?=CHsLOYO^9mUNFq&;nC zXLswPURm^6bGVA=UGobIyxIk7H*eB2F-`UN-^;7Qw)p_L?ag)Ng!7i>=Ii)9cu?JQ z=6}bVVtJUYUADK1KYcp8<&Its1$}U6h{LVZ{&}iuGQ^eJUpz#3d97hK7c| zdd0r~p@7S*p16t|w51(8cDT8@VYyJ9^UP1MY%|i(G`F;zu^p6w95Hx=0ROf&@_l?R zV&_;`0LV-|VGxWg6axMq#X{pCqr1O&@j~Oqjp@V*3#jhDeie*7$cGyCI4I~4B_%|2 zof?fp2M^-FYfd&QtCL6t!L zK)s?|_Ta2KPpH?WrFyV0-m^qV06^=gsPs=x);!fwQ!}!(WTvKmm66dKHdN%koROCo zY0NZyZ^y3scnPf=H#phYAkbBHa|T~M=G?%YOcq~hAEHut2}H8ytT$>a*bWSGO}j0x zQ-1d%0AnIGmfyX5H#ncIcJ12z_Fse2D5xu|yx{I%Jn-T!x66QdFrjV|vH{jT1+CrP zwVk<1=rG32@1a9{?xBUH;o#u#_3PIZH8U9*Uzl@V-@LFxd>gT|@y9F@ZoYzra2H%$ z#9ilihrI92GA8vY`v&V&a1?hK@9GE-Sy)(AUA_MM_cGohm$_E~0hb}K_p8B{)oaEexgI}NwI--_Oa zO%B)oN<$W{0vjqbhvSi79=}^J-Wk_@le)xn{Tz0XvT_4lU%=DBFYOf^E$`l)6ca0i zc3fRqSr;WJ2e5Ehxd9Qj{vmuuuwux(umyhdfZ_W&*ClIvAfhcR$Q?NMs(2tO3DS*ef zBS6M1nfDqm)#1Y@;b&X$+{z)@{+W`IAxnbqOH~NSMtAy_jKyH8^6cS?prD|gJ9onA zWQ#aTxUtfAfCyadalFts%DiD@&iwk6=C@N=e2v9cCOwE=`{4QZbpg+24xs%Py_$u>dXYlxTVxo$VU3;CX&w|RLTb#<0g9hoa) z=|WJc(WUypqh=I*OIEb%evgjICO0c@5i6geIdteDC3@LGDk=s6Ba*rCx}F}Gz+0$u z?^09CwgW*Ym6XV>qRbtohpg_qJM%eHrDbF+&CU`mGyaO3Fud|(T5y&T2~kQoA2fO6 z`gQ4+z^lisf90emCf<+Cn)~(199zSbVJjfvVDjtNFXNxZ#B?<_mi}CyhHwigt@TlF zN7w^mT|*F8QLN4jUR|439-X2NKmqt<6%{hRjWF9$W9s9?qPBy(O%!oKXqO=&%BC;$?pjz>B-|L4x$WG|&#YWFK0FM3@5e>DOE$jr>N zTx`STRP4Hf>jN{(wW_PHXE|rlfr_TBtBdk9%koYMs(H=hhoDAj>FFpLcPBZavoS;N zz4oCq+qAl>3i%qMKiVJl?jx+huQCcmL`uhFB(gL9IMsH$M6z+K|C_O2(c@#-a4Svc zuKhblXG%~o4ANPOqq@v~@r5(xoI+dy|2j#FRBSQ%uOjlPSDd~7XVBpZ* z;wT!xVoK>eF^+}CAgFMORy%#@VWT@pLa!mHIKO|s0o_I;0U!N4H+NU0jNVFolEA88 zq*e}@&S?x0c%_UC4r@$&Lvj-ShGWi~PH7bLBrH-k}f)q+}?1`p8~(N_^r zaGL2BK~Ilx?NBWYK7RbT3skN6()-4Icjfx!pN;Gu3}ccI)e!kl%Ek+NKKeY8T-djV z#a&=P`)O(WkT<0N?JwIE;b34{8u6p12Do=FvU*~|Oir#Enl~&KT%9c_l*Acb>UcS3 zp)|dfLIyv9_fMZchcKWYMVE@M2t8uu&nNSCc3-79QAb>s!GN}j%j1-I7T)eGGnr`{ zm!7u5N7WIZ*D@e;G{lN5pjg4h1=N0D<%&4lQR-Ait=9#kfOcqeg!q6DUjbhw56hV# zVk#PRl#0qq6y0n8N$E)~m#fktqoJGt)l&i3ZNoFf{Rve=3=XN0u`ys~6;t^kTH4Rq zgR^+YfOu0E{SZLd1QB}^aAMsr9%Uiwg*|z;LpH2(?0bY3we#&BzKMD~zH%1IEV?>s z1y$j!nTw31NcVYX^kU#2LEdgT@G3|FsA4HxAZ?Hn`85vEv9LKnbd9LZb8?ZH!1szu zj`hGj^Y9SQ{5?F37$V@wC2qQkSLx|jm6bn?ydz`TCP73q! zmIfkpD1O7L;n7h6E|?NvvP%~0>^`Q8^><|u3FJaHCBLwcCg$M&5#*m%tnu9;(c;Jy z1Cf9(f?!=DxqRgc@WLfIx%KsRMg|7Ytqlg#h|tjS_7AN5@0P2A7@;@0RFaDKNo3A^ z!wMT28QnBd`kiqt1&9pr59ztufV`ymxHx8>a+IITN3WymKy90xnCSiD8OX{2jRsA0 z1IUx0??ye?M*Sj51QyC&O9;mC7_10*5}ylB0j>9NknHO-=gtkzcmlB?M*t11!u)R# zlgK>CA=oDnBMFd&7)A5+&a%lY(a9m@0sw>X#>T4@~f+3w;mUYqYe zeAq^GX;elu?u%LLyXU7gvYwDs0X4vkoSvGx`4g=}DpAFssu~+BkMx2vE$dq<#4H+j z1v87iO-adv8UNXxR_xu{6WFJ~)C33|CJ(J<|A7OQ zsx-PqE>zVhA7LOirHels8}H=byKZlv9UXluEqvjIni`lOY6qWNFBmbX4VqeIELewJ zk=H%sDIy|3P(u;Od9a5R3o$2dBO`X4m9-D$5cxn&a(CQuf;qG%IheWwOocvn=+7Tk zyg(pMDcQQWNCZZk2tS0=xxva~$BuzQLc>S^5r4|55Gg4RHv`&%DYP~mz0=&>{*F0r zuR1jH3(y}V!m+ohQYoxwl2pn{!fd#$YA8)b8?IR)*&X0rxds&B8}ot&PL z{TK4>*Ac$w4kD|}RHV9tNtzILg_H)D=Yqr(F62K#l@$yYs=|)WPTX-zf^fFU+5<*_ z(|{M=6*zq9G7#yxDuK^A?w*@#t#x&$#l>UenizG+CP2=R z_mo&G0hAp^Nya^UG(JstfsjGIr+^I%^Beyj*mpLM5WxVRdGtbdnvFn1$;gh1He?39 ze5ofTRf>p$8;^k%=pJD=4^`*uuLYIIZ|R z>3^Bf;)8$h?*J4mOTM_DyGH*B;-h&;UV1}>L~uy8u0S5!3=0SG_R7Gd%6kVocI^<>6kGmXx*Ynk|(;2GGrF;P+f;*6@P zYDj#Wo11&2#X@lc%AVDDo143g-E>t^5r=(gs#EpmP5+KpiHZ8a?npLH50|ytIy!3S z+-U;eMJ3ChX6a2`ca{6{kpz4W1s=8YO?Y@XqQmhL?s>B>wB*FSw>)4#Ko!J6uVrmV z&xV=nBg_ci=?=HjfI_xfCA9@^25u!xhrQ0TfB%y0-#;;5gMKVx(eV-A7Rqx}*U8sS%9JG58&4z9R10EHU~4F^$X>kOUZ zTe`XlSKchye4@t!qfz2wN@E}d96WRgw^P*TB9C^#(Nm|Ocx7e^(Hyo9AOEN%q(2?QtxS}+|ImHwA-n+?MHttyv%j6{Wfg5HZ@Ld9F? z^V!*gKFJ>IOLdUv5lKh4KfMeu2SuC4)DSrZixs!8qK8ZM5dtWYBcfww#-0{6Z%cQY zX__)JH;+L}YU{<3Lo5V3bwuu0BqEV3qK<)uG>R4&{vFke%n7MEh`UG5Nr;P6N+aMW z^8<0Q;|KR=YU=9pva@Hw?ui%zdb^r%9&W^wRrlgouO0vwi8%+$yUq>nk@jD;>b(fd z3g7NqtO2OJp<#LdZVz>WAEfl(7XjYw)6meHMK1hd54@%N3LMim73N`Q3|kN_ugn?x zHsWXmJdvleqt>}q~v}=0xNN62P!$fDj-tc@PFNG2sn&vpmGYY;WS*9mv6jt zW^c&1ni^Hat3h@anZdr`gBp9;ccu!F8vs%S#>Htvxd&6NIj}$k?FwvA{>qiltrk2- zkNQ$lA39{2KZ!I2Knuq?aCIckFC;hPC{k%P-pRot;-Iq|BRq{wj>eLwN>C4P-;NCk z*cWyIai(wI#-ZJTip#Knv0YhP8)SXC+rt`)Gw1c$g=X?4;nhRn=D>lq#SD<8J7%{( zgZE;*BN#b=!M?TkW|O<^x}H}a7%{R1AwoNc<;z~#*r;;zCIaC@mc_5*6rRQb9#Be$ zb15IYju!?0f6RDhK@(P zckdQL4yN_7`oABjsHoWB(?QjGirs}Ui{YwaXP5Qi!ykBbHbYmGyFTh)gzXO^1|5!y zZgy!2X+2aRfO{KT+utp6Wj#IGKy4zB%b3|(Cgk38g~}gAEgn565OpM9^Su-`fA8>HMGkAhvQa3a;qefPMY%!7|;WTwqT6(8aKEy0Q3LqvG3Pv#} zjGGW>=Um(*fEpGYwamX5H(VqA=6%Yqb<~!3CwFJ5%4Kj{9p?%hAHTB^b@V!LGByCK zxQhys$$5u-%3S`AhsDNrqb3B%+$J5|$KhLilKXW;FUQ! zXAC&7GXaU_(%IJ!HGXxlk`x(TSiqmVYxMX4>FBXayu6a=1i;iE^A`*>b_%1!qAehhNzkJ; zG+vDBtPOvs+5hkrk`EITphqAB352}fo8)9voL)HHQ2$^D!nk4&9-Wvt46_iKKL8ET zDvO?iLyNDWjr#fd!3l;=3L=eu+VbmHboR0sVjTD+q^8h;vFhNbjvKie0DGF(p@?H- z3pJZcEA;ztgithQhX#e1wp_k_`^INl8UyI*B8aVZ;>145HhngBcDsK~O4i4x6z2U9|O{Ar!X3yZBY1!ImZE9WPhA|Tu z4KQ}Z5lF40Qr6S!M?3N(WBBQHjw#l2b^gtWC#Di&{^!|QBCWwSR#tMJI%N)x9%55A zP_vDVUI10Trj!(s^d0m8g$VAZwzha-+gE;m#QY>l85vf9IN&?b6mX+Z_2c;TcWP-3 zi7u8RJNe@3G2J|y9g?M02TI^)yV!#}fpiFSeVL<@;76ob0%HyvLP4?|Zj!r+iFt43 z_zQ2LB~VJE@=fNSw{dwE@$6X(026E(B&MD)`Z@jSt?SQ$=>se@WL$5vOk#pI@ZO2o z1kjQ9#0dsU%F_N=7}eO6@BoYM>g(U9Eb!hwZy%2u!|r|Fdh*XAJoRhoGz3F z&p)tT3p@G_47|d3^Ck771U{$n1AUMo_M^wDoo^$A5@@d20FV{hO1!<1p(cpBWXvM> zEoPff1uFdLdt(P9{y&?u1G~0ZDr2xIs~b$`rj7CawR!a0*Gd7j;3f=~*j98Zu>x`{`l>)u z2*ZRN$HtN8Vt)pvyBox|9#+;?R_^J$#LUc`|GLjrj*?>&3kdAD3LbDNkai$=KetG# z8X-JkbyGXfhRsJ?v}Y$556>5y0qO2lJxF!f>M)BXW}-g=Q+5x8t(3`Jy#b@e0e#4Q zd1ip#8)-7(9$+k`LG%`B) zZ;mQFEX)?RF%MH&LxVNMR>&_GV}}s1LBG{6f5h+nP~Y{(J@4m)h*?7^4u+P>fZGfgIQ#uU70*h2tjIJi)QQ`Jr`T>9Hg z^X;?UXM1DY%OYA|S+8NWKA(Tpo!WXT(Cpz4wjoJik>bDi+H*-}6!_)ZOaA#q7Xj7_RTJSzbP?nudyy@7xv&-D zj=(oaa0~=dY?X#MF;fc*CPqg0%{9l-STI*7Cnv}y5XoUf7--pxI~FPt+f?}2SYTVo z&{c}qkEX*GU7oDab;KeI$6y2?Kn9a2v4~DU3&36rX7z*YPOhJYE{t3oF)?wA;jA37 z+>c1$!}sqoJVoQ~*8fRaN~#}`lf3F1rn=Ywt^fg8A-j+67i?@k78PxPJNh3)afw)v z9Ll(aHFZap==qg60plxT)tFp?c~OMCD|#Gq#U>_iVL34#duDa#4hC9aoTEuJf#D)J zLzqzMBJbSiZ4k9Cq8NSV@}*0hVAo)o99*Fize=+5l4DN~gdDH&p%~+al~64~y0MI|0vO{)a0g?m%(ZALa0A~!fP@kWA0G%10nj79 zwRLs*vn;(^n?C-ErGI~Im&JHgU|C^9l{y`gmb#+0NVMqu^$p<6byJrtGyheaJiCb|f zO0a_t<`Or+CIZ#&=x~9~Kv2C|RN7!qw%}T8?RK6xc*V+!utU7vcIFTN5cS#+et{l= zg}|R_sHyRV6qg=ay-UGGj)_LZfQ&^3z?lmQqNNja`m*D*e@PDHMFqXlnJ!|+PPs_( zUbm#Tsp*=u^w*z1vyyAPF+7F?iYyzQbz6J;Pz7!>ro=+;95x+Y!D;hB%?pxMMY=E| z!er)V73cD7LT`iE`a{R? zy5FRp!-qMr3fYYw>Q{g`?7shf9_W0;=NbGVf^1+x^$iVw5Xu5!Kf}it`uuri(m~DW zKrEoURWY##sh-IC%6g=9;*lAoz_cv0tQ0IQr(u3G^kV>sXS`Y!JewkPpB+2YbI_5rWYb{<8?9 zRMq%yAkF{?Kxf^or3aXVRjyu5Z*{lUYTEhy$|VwX?#xvG65+5vS;jT+{_mVQ%%Wmw zYU;*k1m|-wqhhK)V{P zz!H<}+lOzL4qLJaxonV7UqBtn;tT>m^IH4T7U>x#M69JAJwvJ}}LKdRigVXRcvZ2n15 z!Auz*A}~Jzw@1+|dX0bEXB1PfqZxbBQ~{{$D0RRp%R_JLsjl1*`MZv0j`ie(*-wO$ zDoXAL92CD3oL?ets?a;3J(@)DNkM6d{xB0<9cx z;qEK>LcPn&?VEsq;`{s+-C{S+>t|cr5)8D;4+N?zP0}y~M1F1KBy1pndv9-V4vr-949nJ$ z=kzwaFBc(I05xU~hsVI?D@rNiApR%5fullq(u&*3(ie?N7)68bg@$HjV)FS>07j(3 z!l=YJ$WTa7nFL;x)z)I69fixG&aJMj_(v7OrQ$hqWES61J)~;B7@*si*qX-h1q5@v zfH3jhytsegzOpn~>JtQ4bFA`mN0xCQAUm2_q}(uuVp3XbnaG}qI^wht`Hj)CoVlZ7 zY|Po~U}tw-UHw>(7!ljZ*7AFP82jUT~BsTqWI=GFh) zl9U(#8pch882puh#R;UnCbU0l7_lmyKRZD9$`#$9-l66W=n?s~bBG|Ir%(@1auG>O z1Tkyb$c4Jg#k?f9f78(_^xzo==nRA~5PLa32lgkDUiJNZz>D$Lz%U%wF?=tk|8@7q zGJIW3Z3YO7K?R3)B=T!0g9w7t6@)c`o54eVebn~>t4GbL@gV-MX{wMOK_Q_J@85sQ z&BXwb2z*pDSKR!78w2AG1j~)R2?kD|4Q1q!2-T+Km z3y1ha#7o>3-=Wf!lxzb`f!=_vb&2ZL{8_|w8WOXL;AzmJPy`sUXt0XtEe0khF|k5; zMg+7+XeluB!t3g+>4Rj~A(B8}hv?)DzYrQl?&5mL(EV%GAGkC2_ot{$0Dxe;>L5ZD zNGaj(X$AzWD5XiDorlZ2F3-e;giv^~BX#SzI&aKQtDpVz=XEH!0I{gcSK%u{V5;RD z(EHw%Z@&50cgSvHe0-|6cpVp*BpbvoT?&$ihCLJ@LMiRNF-QD`5vo7ad5@dG_Q`>d zA6s>15n`T9`}%Eaj%VJ|!yZDWdG0~-X}ad&6^SC%<%I+<{mhoQGCkO%QYc5AS;iRX z01jh<;z|5sV2~OE1m%wo#K1Vg*-%fviENi#dMbg{if7p)?GO5mVa@j$b3OL*+L6L} zz)(U$kb0>4_C&&m)4Y0>jAHt2^KbZRUsW@ZcfuqcCirL%9z?d8hKf-(smaDrC)vcH zyTrTX)hmM+e(A`(;UBam#3>^V=_dnjLt}ukhQ~Za2rh^rDFXW(LK`m3Fv_)v19QT# zpiiGV1x>v7;R|OBM)ly}A;JjlPq<6s4derGQN&9S4IGGfOvzjQF_8`~jabf)@81!C z;iuU3y7@Q3CY{W(PsR(MJRyT(5Rn*mTW9{Wk}$$`X?SP>>NlQT;rBxi{r1nFzUk!S zI0Bb1@6$Mmsm-Dy4`krM-u#z0|B?pg&(O~pJuKP82FW*iVwvoLsYXdjT`jE`<4++| zQ&WIUm{r0EiSz3cz2%83MAe*L{DkMPG}bJtzzkuu`SZtx;4lz1p8P*Ng~iM?N{|QB z^GIq|)G2Ji{pdG=*bE(him8LV^aCTGUMZsZD*J9p^Md*qdrc#Fy5c_B9;-6JlFhcLj)pn^px z_-5ugy?9M?vmmk(&2NZGvOz0AP6zhHU}~vjRoDHW9$d3!ih8DY@_7d%MkL0^{V8G1 zQPhya#Dlkno7MI~R}vzXM-=wO^1R*7#*^445CVB(W6^H?A3vr}@PJtjXI0&P>u=I| zsK^-m=r2Lu9HWROcbktX73;0OvNoht;@_AoYERn+p>~Lrj z@K+O-Cf9z;ZNj%DVH@42XshPXU%F$d#GJW=5BXcD*#)SqOBD3f)QBneBlSvo0^S6g z(F=^5+#g&Pg-uzijc22vUYCFUik9GafYAx=Z?N+gq6s=WI<+T^1Q5;l4-8zGn_H~M zI!q&Li3B)S33(jkK7XwqSZEFb>=2cfhuHp&?@r?p-$tYdI=8DFH@-SJIUx#1OG$ZW z><+#MKD+h?hZ!N=Jj3H|y&Lczj ztw)b!k)%ny=!f(y2Hgvnu2sKpL6KowLdNTeF97$qE&UkgB0h-4=s4@m#-X!2jcadQ zBpGPsMMp0D&{9l?JdzC^Fbx<6>axe?8fuyY=AIz=q4sKv{UTVjP%fdE>Sz%@J3L$! z9zGmA5F0eV5|32@$h)v0csyDVr=yZa0G~~OkDiP=;OLPfQtV;ETfLu(`0#mz!J4pB z+6Zl7WEXH1Bj)lI&%f%QTDe46gg1C31C|xjmZ>QzummfC!g-h~FpP*_L@mCUlKX<@ zo|WnUR|)ZGffs!2=urnGISH{XJk_UJa(km(k8dvpOYMO_bP9J<)dRm7!H(Af zn1vDa@0lfENLd|GOE3ipffM}~NC5^HCNMBq&*YtaD}s=Y!>^)3N)d7D@b$G=s^{=1i@gx};CW$I`1I)m#oC2? z2s=RRJ&){*Z8qdDmUqR>a;V_%5OPl=T&crVL(pUyBMe{ zEz3=P|1-?79&JG;sL9ArSoR+I4B>&C5OH_Y%-Z zxuRcml$Mush=_FJaW)_9qv0~q)4RY;RVQuBQp2gl!a)#1U*@C+7siwi?y$Q)Vc8M# zN>+-)Q)@br*qbw~0L&rA`0y8GbdbTRjTN!S7RAGs##iJdPM@wTE4u(6Qa~V!gTl!D z8?R0zw&g44cp$bz7jdw$Ap{!62?jo> z0unmNKa7pm>la;DBKl?U56i$x?nqTt!ys^U^hso(-@M^uXa6a1QAa2K>C@|S$L!Wo zN|4zDtir=OR^5vfYaK&ELg4MNo;AbcP{fmK78wbTcghR?Md3gBpTn3XnG=2iLz_N+ zuQu*^anw5c9m{3ev+#d^wp@Anj#!L#f#Uyr4B9;nTbru0L~hnZ8n8!@pZ<*p>=E_f zz^)#1pduRgM1`J0>@07ZxLldbcKE3#i|d7=V`n!^eNS!sE# zcX?6O?jn}*g9Mk3M;hSdS%~RkA$ogzVSAI2lbduBW~QJ7g9ah<)Aj2Yq%I9Kjt&fC zjn2&IXlUTMRS8j1BG7r@kS^c$-bDaEJ>~?A@_3JfXb&`)^75qC*fWQxp-{r|!cznA zv<AblWOHyor=XxcL`D`C7N*-FiQu}et!Gc3eD^Ol*U;Qd@DQ{!@JtXk zHhq+d3c@@&B!ZAbB|-y#4bruV13PzpE>rNR$8%^TwzaX4pl-8Fk-*p7?jeYNB_?LV zf&y^Aa``fw@3E_qQb|p-Fs~oMghI^pUPlW)#K~!*xxt4hJMm38yy_P& zun7ugzpwo-^ZsA{MCG4-G3R!UJltC^$JYt8RbyqpQr)K=yl2i*6Y z5DbE1fQk7z*d7BgLaC&I*Q-w8U$P`4c)S$v-26NwiX-gFIyceyB<^K@`UHJ+O1>VM zE)HL0h2>vkUQZ4~cu4t|=|MOJl)(d|B0JXMsrfcSX%L>z5D^nYHk~piPg@ZK>E@26 zeDqMAtXC(=9Y~R!E>(_B0YHP`)43{hQA+Bb412)i$Dg|$kr+mNon-(1K}7_*@Lue` z7!LPQMQEE!8qKCc0kjlGgj|I2hIY+9sbxHRNC^Y1&z?=m^YTkdO8$G=UI1K!a8w2i zsQ5O5Z=z`8TL%C;JVNpxU&M5~5F81U1O%%53?GA_4j#(Ud?$yeg_#X-2y;i*L3j+` z%oL+VzLY>B64cSGTI1Z*U4&BzBuVKS6gZLr(`O`X;Jdz!AOx6^qk{2v1G4h1LZ{O) zyEq6tSi66EIxZ|M5tInopuxePN)C8<0p<@7DH5{jmtwaC#UV+A`Mu%rRKD!L`>NkZ zo&99kQD69zL%$pCf5^_mQ(s-(-dVumi`imS$Sh1Io;Z<;;lcBeL;TDe3-R1ZshI1k zssP=D=OfIB$N|I{U;d7{24%jvx0s6z3{(KUz%&yMpedSpe}Ac+>La_Iv!{@ioSvQr z7J_FFLlckhcn(9?tRAg#e%=lYXjBG$6os>UnJD*iwh<<_kMUSKv4?-JQ07K%RKz+he2xY zXhTE_I};()%%cT)dHtl_O--4}?iUvbFr@0d4XkSd`l6Bs5J1N|EeJDYC)*haz!46Z z-(u<`AtmMT_3wQZSzIh3Jq~S!$-4%32}(SsZVObLO@Kr}g7CaEX%Yxo8Pz|!3Z+Py zh~DFgGF^GL95uX#Rtw14;ez3vXT8R#9X%r>>Arp1Up!o)m4PDoC%K>uIy?>wyN2Qg z^FUU%3Y}5Qq?Ape=DV%Ua$|J#;aH?ON?MDVyv4eEdH^13eloxEaWp-~#+HdMhs_lB zeHhEKc+=IL4m|V@VR{$R2EtT%t5YrQ?S%yeFc3a+6C=Xw1YI4I_yBouU4T}(A)nh< z4o3kX?fLJ>Y(xh;ue&mwlX=;CvMZOjzVv4}*`JXW0bQsMV9@YJe&6cRI*h;*Mv(w> zar$y2a$Y-+nD&mY(4`do*4zhAHCcs%aw zVK?kBPZpsVN11}bW%oh413Xd<0FODa>5ER}u!pO0t0RE=h00TSfy!fN{+)N!xp$Xy z;bwDDYb;$FgZAciX?R4$`31l6IZ>)P*%+0JJ8i;MBegA=iWjuz1*g=O_^R-mXO5Zu zsUPbud=^4)a4`8#kR;gR=+VhkC6gw-+O;SKYdJlknzuqUSMbCh>kkvyRa^VJ*l>Ay z`_rveQ-`B-tUoKuY0lEqs|KWDjcCo;ym^X8s^EnSGVdnC54_!Qs0B+u3R1A~?fiRx z0sF%`p4uE<6>hn7;lfn)W>H1EI0DlM0J^F&JcFH5;5^B-#lq}q+FZmpCAFaDyW8hC zIXXs01w^0SyXRe2!P_R-?)cWK3sepq$fW~v4O}0VeNzRE7I7bpID7s)CiR|jskNT# z(~3Ar=!C!h0PN`=nYCNuBu)=+Ef}fcUjVR>o|h&``LdE=IoU-$>y%K&2dT|Ir>|=C z)enU93OQL-3ijhZhqWn0i_GWU{2~A8m6=!L( zG~u04v1pdl+(W4YkrmMfmClDxWI>s?@6lvQWhifQf$NdR;tjh=OCz53O&<^U?I%|a zkmY;g#DEj?HdAy)tYE```s4t^s{1rh`wUyjmMc#1L%6WoOvweR_|#F#Bx9O}Mp0_2 z%(Q7i%DN-SEb7x-g91_zeqvatcIOQiY5vUPzi0CjvU$?hU3T3aK z!CQ%94DB5%C6s^2l@LXj+eU#EgQ%%x4$|~GaG;t}k{3#w5_9=7HyDkD;Fa-hhR@~s zvCvJU%x7{Afws`9p!UgYj=)ZF!ry;QbIO&j>8k_7U65HJPy!G|_J>ksDv4g~eIGTy z4ugMxTfDyi*b<$3+G^{@1^t0}AhmhsbWCo5woB{y%xfTf0M>0Lx8G32rlkNQi&VvQ zv&eN5IVVUuaf5#A6!AeZWAy9x$)k~Zf%YRr*G;;F?R@g&C6wGC2wGZaEp}0WqLlW_ z-h|XrTN|s6b6Dd5wlU)U(IZ9>g?cBmpJwP=-O!w(B$s6-CLq8*%Vu<3A(^ss_wMZD z6HwMle2rgOOD%|hidI0-!6HlKNrbzue&djUEDI6T(ufs#d2L(blHD6AIul=Xs!H?j zh2A4v+qQn>4OD4h{s2uJkPsM#&DHl_QITJJs@IaVEOKb6a6YvNdLF-h$z$g*njfgr zN5*sadoJxu#DhJ}0ND|Y{c@WG@K5wmuFVSQUkFH}F!4bA9C+;G&YUJ)8Cmy2L&N-~ zQUt7?(7YiKrV{9Q%wq)aKkl%rtPs9S>%JA)IBet4F;hTNSXuG zA6{=8=NFySYuoni_~5B7Qw~*?lx*bW@oOU$)Sx^ss9jLf-eqai^6SqBk}`m zvt!T1qHP}P$pQD3xIaH*x=qN1l$2n?c!FKf0R4mz4_ENoh^IO^VHE)k(>W>hk~>Tq zn3~y2H;9@8%#rtmvrupgg2jZFe|s019JkVvG}QkTQahE5>x(aIQsV)NjM&&MMmo@` z+~8$EVx*G5^M8GxM;LM8t;v;>`x{^T%S3V~K*{3%5jc|AlcsulJtBYHIW&!C$BEQ=nTYvFg^sr%VRuC9Y z>;kzgP|tarKSE_5$3ZQE*fPh$g3iSl{8F;B0ruyfofo9G+{ENYL_~MnDU&CYGPrHsCN+0DEXyWs z+>z78$laM(5k=`*tX>1v>6G6^_BMfN7CAjCPe$myf@dn`;wmfin9AYkLP(s{bL+x5 zU*%9w&om$%XuVput%N0?t~SI1!I!BGmlFB(5^6-DDM`r9%=|zp2?hRsTj@A?`4|LU z=8G_=a9BeM+1{WAN2kYO;RHyCF1Kr_+!y-ILiC=G(s$zPq?+kUv$AF6*s%~`m6%BL zvr*gqUu^cKKa~3WaD8 z)z%gtDhKsG<#s{Wb~l!}(5R#S^O`^E=y%xUe*OB9zA1Wf8^D7Cjs7oCtrgczYxmm* zu+zeC?{;d*mY6PW|CcV+TV^2bKWzg=B~=eq4%_I1)Wf@X#bmCsBMVpEK)*|*FJSdf zkxv~~8SHSCt!9?M?Ij@UFA589-nzwm`?1$Ty+{ce^j)ZUGKF`>S1gw0@hD$2?wHhoqIpzfIQ(O3JMY70pJ+4uUcORP9cho)(evIrrtv0 zOfmvrw=Z7y4~5?hL)GoY!1I!t9GzPCDYmCM<%deLg;1(z4YRPuqfz3ioeaL zNk$}ZXel^u7cXugkbi&_$qtM3^?CA$aQ55gg>T+m?nGB$FUl<}++blr#Kpr@5eoG7 zGH6(qk$Y-3o|YK~Qc{yMwX{h@lK*42Zg>)BTbyK4;{X}-%NB$xyYwfRyw8C??UJjO z4GC%ca1a{!QAbC~$=yn-<%~Ays8HD;P%ue!TDfi=S^hu)If}w2zkXe{ zX?cbuS~`JyRoZCIw&2>U4Ga|a=CKb{gD|xi>nhD$(cu8mpg<*fxqtuu?+fF5O+6PI z@GPhRnJGu2ZQhl0;o|I7C&T+JxY(oVoDnQ!s%GvZ9usuH@;JMd2l~Ws;fcDRA~}~F zfrvlZjh{{cc9n^ICBP z#I3cH@=?x98K6~c3)n3QuaBGJJFk0?gMx56Qa@sXCtTGOQ+QMb7nP{_oi+P@dxu2?3 z+2)2elh$@p)9m2BgqY}~b1Y`#9!h`;r}#$@V>gG)I~2!w+Mk|TGaiT$E+p+x0k{F~ z1I|EM8!z-A)igznl6cm%25gfgRkOOWSBT06l}B+gT%RWH_1m{|+Miqjmh7C5CYEM_ zLVx*V0a3~%otEow? ziHM9OJa`jA?5IQPb6@=3>6PJ*hn_xh@}&J~`{Y3knJ8`+IC(8C*o@Mxm-y&{JLEkr zOBFUxdA*=Sx=!8#OrMaA@=0qKO9szvaAahphldAQ7ADW7Bfa*xHF4+TP&uWv@sDpy zC;|vpv8XUITCrl=$5*q#oJrpV!#^JtwGl`bby*=SpR-{LNqY=0jgxvDD^f{Vk?-?luoV{2ojrFH4QC@3-~lHdn7{M&U9K%L zU;LBdLcI-`JdOSadYKGZo5V^wgCD|dh5v`f z;6STA6OM*N(8TsXC|JFdXnH9)5KL3#4pH4a=EgR>&Up(i^CVE*6!&qWKQYWCe10l8 zI1WM121TV2YHEOuk}^-wN7yKg5FI~ybO}bdepz>D=y|Rd&1Zsx51u%Yx3nBUS^u{q zH2#He@ul?Y-~ai=t^w96_GjKLe$g4MmirGnQGI!<#-J$_z=RtIW8f(t63xM+P~DWi zSNe&NbH9tpu(_uM+~7T_1o|B7x8ZXWS!|*7)2C1Co0w!3Uudz$g`7S6WW6X|ool~e zJ0+?To}JGtLINgeRthM~eN2=fo!qFZPCKF(>DV|7j#S;DeP;ftX)jVzL~Y}2+T-M{ zKShNP9o%d0C!$JO1&BF{iA8(%{P|jI>-hnH{wg;?!-J-Iv=pSX7caj0G>LYPaWc?T zTn*?lqisXcjY*rOy%q|Q)qk1HHlICq9F|dYtuV4=kGJ=1uvIfNGaUuH&2R7Sk67e5 z;yo<~p84^s&${4HPHDb-?;ae2M8zL-&SA{Y$BAG|&J<~j%@y}$4v*};2ek@-%bM(B z;2A9Nxb_4YblPnJiETJS`v*KhKn(RB*ftN?NO?fZ*cXZw;xcCq^BFj~i%jo<1Mgdh zCdf@q@W~Anup@H+c!<)YoyK(lcKDN91mghBBO241X44U??H_2L5iXNcmjVc>Lkh!(F9GFL%nIy!Em7ED$C2`I7_x`+mb@})k2I#Khes+YdSFegswqe3 z5OcAL6EAGU-Cxp#viENuWM}J$QQ-4M5M5D}3cWCQFm(`jtj-D#;WLE_r$bsAI2IqP zkOcd1lMq(bm^V&+ovV5j=f^*4yo!E?vU1kkxn*r)f(u$!1sxmY@^hdTDi3Ts`z5$P z*KhrUpdlPfu^aMk)^6Ip=Jx6;6AuZ)1c#BDUYR*h8l`C@quB*MQp$fwIMYHu0Is_v z76NAH_v!xqIi3rshvUC_HhS>f(G-Dpx`@n z>}bEOX5?Gx!E_*xQztyM}CWu<~`069@-mjA8IKCWqSa3Ykn`OJPuz{0F0V z>?wj98lm~@c!jZX zH*xVA%YR_Q#y^I%V#8mwYQH=59m)>;yrfn*hhoA=I3`N=7He>M&> zUh}TIb8oV4YBbmk6obgVu(sTXErTr_G5_Rh{9xI-_^adNw|?m{rebfm*ii%b)6Cn0 zAPC;7M9Lr#N7TV>frG6$ix!`z7+0y*4| zQy&pFedv&8XbuAB`+KAN5&+ezo&=s6xN!npWo0)$Dnb;lP}R?u05$*8h=wn9DXn<@ z8byla+`5%K8a6$GHMOMEi*w(0cWx^@vF2WV``(#bSo7O$rWR3Iw0+n&Z%DqfhL(<= zrMS-a+ks{dYJm+O%n+w^nJfc)jrV46%#^2M;|VZau*L z*oBK11j=tRQSm8=HKWQL&y>buk-;&T3Ig!<}lduDrW0p_B{W{Fg0!ZfNMJ>4%P~!dA zp`xS*V2=pCYKwkJ6#^Ro2#|lea4Z_^5DIDo=4K+mok?=ZHQBWi-ElzYnOTp&ITQr_+T@0h*NO}l^ zR93JODPh943NkiyWoWzUXaPWcK3KF5-ZC2rF+3C#ulyl*>Cvn$klbvdC5BPqprJp{ zT_42dK|&sU9IXQ=QvZ#!2&-dpQ<)$|=Q<#voeSQ<0m5l(_R~Or;Z7r1Xub^?a(epi z=hp%10bx1X@hp2j#7;x)#j-;5_I#mI$LxqIGRzpAEX(B@&NW(-;E9Z&v_qk#_n;R<5pMLYm;k3d2ZP4XB zP0uFB3VRAU`slTe*v?3tRzZpF`w`=?=R=Ck=ZmHYQEstJcN*$DE3MiXeE&bnoDb*P z1?Mtl@TbhcEPDhfjOPNQV|H3vX`DxZ+;85$->0xcs&9tWIB8FqFab0j zRFHy~Rs#nSG6}JbJNTWLRbk*is4v`7wPxKqtn<*`cxR#=-aH1NCXEFqL~;POd^*!- z%35q|Q7}2bsKYNgpUGVYaq#U-{WR9=FtD0kc5EAyKrzSQ%p*57$3^%!n z0^e)KFRiAkqKq{XD2TyJetvzMRFT+`04nx|0id|Mg$%k4c51y+gssK@PbimL2GoD_a-u>pey-SY0>-VH$w zKkvk{*>CFSnQ`Kf1wj&tnQjAzFu)h{Axb?tNcrYm2)wF;v-qXMj?Ve;GNCSj)&xFG zuu;!vz4|>9xP#@(^V+oQSfedUHygh+(j@%SCCK75px@G$KCD^}QskFBOeVg8zQ2Rn z5_DSw2iAmPN5Ls1JZH}I!Pi8^U*TST+?u1#Rs&`e!p<(&;woAOc}SxBq?lup?nMaS z(_l8hk7_M(tU!Cf@>6Nr-T#FysoHm@SBW%=C7IKT>s@KMoLm_NOUAp&QH%bqEQ7MI z3RgXb@_}+6$XUkHg1?!|n;kLlxcgMlV>BZGTJtm331_!~K_yC~K~^C+Xe@B)W`v!^ zQ!rEj|7N<9DtC(DAQsr#wUrdy;4>SiAc`l;KHTuyTNG!>1|3DNwvgDvhP|TA7Yjjy zY-(x>`H1=|5pmrY0EaIcoI! ziC>tAJWp1(6xpy?2(Ok_%MCy(E^?IS-JBeOJh^$({OP47KwgNaK%$UhSh_u>`hjJP zb~DS{x$25dr0Uc&Id5p}ad9II=YhcW1WvZ{+rPh?@9)#64^>m!h9McTZP&hI7$BC! zmCWb$7K;q^Rf!v@9VU&pg8z-I<;0~OH`6-9QRx=lnC{6FiEa)dv_zGW1&kDSUSWfp?2hqz`TTP1;RhV&$00oSa>8(h! zu4WtrW&l;V*x8t+#lFSSKW+703B?mG*F(Q*y@+4RTH!2vzkj-dvKk6c zgc%i2v3*Idex_8?wR15seKn*lb%*)R0>434%lo%j6WFGH?8v4R2gr-QA_8_;=MseOO1~^aQu}^x+capg^erAqo^|aqoOs*j|YQ@Z!J! zTB9WYew5~g@X(t;{>L@kTzO`^9=LV31$Pi9#_|M(E{zZ8%5Ur_{H|iVt}DnHmA1}* zYr?~&fx=b>`$`Or5NXdxojPGc>MHLO?Cz2oEg#Q4s9P~omD-dOr^HXSe-cdOsyDs~+K`C;Gw3m>;b~MfYmDt=}IJIbA zsP+jrfjXqu<5-=pu%2dg7b^LI|~-iPlE~$8o4mj9p8x#oLYhB1S1F&|d-NuAE&Iy{3oe zTDnrL`w*G6rID<&F(-yh+vX(!?DbBw4Yf0osR@fWi=6IVS`r2&L)aAA)PIan*P!f+ z;uS6Y{r8nr1Q1R)Jv_gE`Cw#VaQBgHyOcqcrjUi#Yi_psj7n!eq7Vfy#*kWYKhfch zewUs4Mn-!JxV~276!0dh{2F^b)moPOQ{3m$e+7qa3}D#si`NOgc$v^rfI$5dg>X%$ zY5M^LuDnlZ$@!WNh2fDJ{AewrUXs!ziMZBFO^{BR&|jQ{b^uEAiLDdtxH@my#&dch za;6v9v*$jK3hBb5k75v!86hU2T+z-R;74%r68=v6PjYrjj-=E8lB}-=K?LjbdcNUGs0S0%H=>KxV`t^Xe^^eP)L=}JApo(W|Twl7S z?S5^4SP#YlW_PgTr*jmt-zX`@T<7xvJTdNe-dQfd_A(BPNBwf-!?9=Yo=30Iqs@$J zU(IEXI77f+w^hPs0~ApwGU=g~vkriEwUEE~R5<mWBBa6fj`KZBnx;*A+$2|E(zx8HU!7*e#`y10VO0)Vq8fj^}qj;u?7Li^UVTd?!h0$l@7K+}=;;4+Z}};caw;Lr@gDPrb{5!!^VRD*Q6fSZF`Kno z^Th-vWuq15e33Ju8t_`RsHgW;-Yzgimz|{qe2-~U^wxi`Trs6it+r_Qsj_0pNrTUZ zgtXDqZBt2n#Rf~u&Ey7xjIU?vaR^Et zh&#n>r7!n$D74FJY!g6SGxswty=OZSf3vZ z@2}{57w23)#h(D&5KDp`mrsMH-vYKlta-6CrmS$Rf8@s<~xw%Sr1>+29 zQHm>fJT6Iutc;WC`XGY8NDU&)i+AyZ6pM8GQhDuJD?=SWZ*>Zys$)8t{8Cza;nr1&h)x{sZLe_^H#S z4G26|&gd*d%a&fOtYsj*o-3Jap8IA0rq^wQzn<2=7(Q){mKY5JFg2|lqOVS&@EH^P z??V_SYjf1sx1^$?U;qBI#HW4Ge34EN(_@vL{Zb}PoH#?w@zvdc$$z7?S`G60j8RZG zp}WSBJ;Aq^CZ6oM5J*U5HvA?dP{-+%Dg=NG>fc{tBogSky1JG=FQFg!WlD>ui=2;v zx`FL;1Iz9_KDnFBtIEn*=k(EJc=c`&`B=0aTJ^UmSn+_JMr)_B_yy@BiA|=^TmXBi zZqeeWDs)@hnN`x`_VvrgSgI|CzV?8YEYr4ny3l{Y>E(UN(xkUrHh0!6;uX4X>_nJg z;WaDV&k_?pR3tNYh_V!W$+hO?2!@%R;AE3EPvoTeZw-aln_&>9Lm7+u?%m$0C{IC8 zF>vjfim?q;k;`)Sn8iDpl~nd@Od8W}1oPQyMPv*|_#Wnw_o&~PZIi}OK%mA;^e_#=J_om#WoTv71t3RuK>2z7Pb+Y09|5}|G)M8 zwftThEyj6oE!hbp`ZD`%^=jDaI)`^oxo@-Hf$1GNb&8~j{S|L47A{&;N8v*=%5k@O zsgz+c&>`nvFZp@JU~!^m4FR|vOrbuu*K60xK*tKlJsMZ932rU9!&Cp=vrhf$o-UvS z{FAZ@fJFE&#S_j-%4rXM`J}LLo~&>Ex0OT3^2Z_w??&O&kXfE6N@g6m&~PFzow?!B z+;(wT#en$tdU=VnAYotmo&gGy!Vj7ennRt6<|y~i<%e;%xXvTh=yhc!BR>k>z66#@ zZukhhghtDoiNR4i-z*T-+fF=~uB$ae|+lB;-eLKAo~8CyZPjfo>CHe8WKtTSBh_b+aEl zm?2CVnV@t(FHf0d_2-{{3O~y-Th*izOK7erEsh;Lxb`!-K1+}uAZJ{ui^}f&)vL^b zo#@dI2#--Ke>`77ovm5PNtm&VpJU?(G4*g#cJG7!6sGqKax`?4eS=1{o!Sj{{=-#EUG5( z>@XcPbDzF`U2}06U%6si z*yeH22D~4|P`0+5C+kdU*>8M6wNJVMxW%~|BC zZyk4Z&UPk(Ucc@VrZZ^LT8X)H04xP3)Qb2&oEY(Pv!qQ4Z5c7{q4a<+8M15=W!^z^ zE!ULP$d!>+J63tWl+dJ@iz_)fV>r_Il!*`wXc%;5eQArJ-k`r1FusoJIPHf}`o-)M zIP@vXG!5vp&m2CSL-@RkQv-4$86l5NvPS}efouSf3-2SW$$w^7a@JAKAPP8XJ@c(& zn-z1RZs@gviOO2i#O^6{3-2fX86;&5Z|{9_Y3L%EPKi%e&DKt_GTOYkytoFvA;No zgRN~f2gjm|Phe)`hYxT3w4nam8_HbCNMGjKvv^UGfu##mv)YT-AGQPPAOwz^lRe2J zX5c27$6tE?xvY~N#~-{5s39j)83Y0`>h2`@`gJ#( zJ0Qj00C~uRjr+l+|4{G1W-d~MD%e2MtT4ymR{Ky@)dYd6cmfP-c)8w9A>uWFTp#^~ z3z0LC5wmJWDn??UOp>sp(NXcu1n@~DvQ25U=F~8hZ_*uW$BDpnD1}YOBA0UD%$PIh zEw!D7x*6|)tUy3tiR_b@ny^VP%v-8~mu#o?DNmEBU5;LEv3{jPCT&a@%1?E=b5Lf6 zq3evYxb|*an>+pjglmg)Hls4^F>sRC>j74Cfh2&DzI^?vqozwK6^6iMcA>J6c{V|8vm0gdyYhEMqBZEZ3w@_PB=Wd70SB5_oTE3+uM(f#I|&K zj?-eGPfAiw%-Qpf?~zd1`f>Gx$;0ecGv3yA)v6h1uNr>kLZRg@-=M~@Bx{_5_0?=E z@E3G-Vd z#Q5_(aqGk&`46lv-tE|QOFv4g_#8v^4L@A+2sz+-*f&oe6JbwNU$7erTd-;LC!FF! zVvesHq#|o2t#qOFQ}s!cz>$x{p3hu0zCREn&L!EU`H3W+dTWt6)$ZjHMq6TN1=-~} z+s(o5$Oc2M`Fzn$ldoc*5#REo#6s|Jm49L_N6%X*_+YL=l=Hs!<1S$p!+4KSQgQ-z z;WwnXaBG0d);>1SnnM|hJwZZ~BOk1A3N?mQ$&R>N3k8C1T{w}hX{!b;L zR*auxdYdZ1YeDPo#0f~_V#geZ(9jAbhvd`k)Qo2(o@j6zYYKeN{RGPcB1F_ccQ~pZ zJx(#T&}Ggn^YQ(?rZR=mlq)JVbw}$aKitZZUyq4V3DhM4f}#qz9=D$5OG;Y-PxW0A zGFqnH#~Hm!uI9&rEN}%`Y9RI z^AHAi{d-NOCY8dlB3!K-6MFMUoP=Q)p?hijyB0$-*6LqL_WCko%MsxUYc`W(AAw zlGNP`u2{?k?QP9HI5tdPo}^5y9i{Wx$L{X#F^cRuWx^mZFmVb!&dFJoXGJ7eXbwql z-V)!*Q{S=UcY5dtrMEdgO}DO)5>-bCR&9!2q&G`U+4 zBrM%R{q)n+KMNqXvt}hY>idy{dVJmSV{Z_R5A;moi7~>Gt#vT)f;m9ZqD!eHs|{st(4=*Tc+1r23}>r*Nww-J zQFqfE@|va+Q|$#L{WEHv*NK1!l*p};b{6l!Q<*CSu@n^Gu%Q!0nNnj~YaZcfowJTYeY@Y{z_O=cI$=e|xrOh1kM7-qf_B3nxorZ>w38v@Lq z=dN7@dI9B0x=}nETR@D zRj3k-m3q5ga;nH0EW0z+3|$7z#S}+R+uXl1k4!KApgl2WwkNR%M~+b9d=bVn%Mmp} znNI=2I9udl47o_Arp9=X82gvDu%V|^8@KPDyu00g=h#N-=p5r@*Cf=St!pI~TJe_> zuz2O!z-utDu(oiJU_Y{+$aa}MJfx$?1cqy-b!hd@tKu*>z39TmgtE0`Bo^No90{(c zXYD|GH1?a5v-6aekiO&bpO2hsZa$GY1NcH_F?97V{m%&^n_rMT+Zz{W!vIZJTqkb4{Nj+^j{2*~UFHCOAe<&z6)&4uysK`g`{6TdmhG z$|e@Dj!!{aRU%l~p4{GMSsr0Rh}n}mXJe7DpCE;O8V=wN(uI*9)-;s2BO0s|vcUCq zR~M)ZiZTen`D8Nn=)p@GuDKSXJYaj*e;DLfy@0u6`!4_9P%D8Ctz4!nO{G`}zPxfZ zr^D*%?_FMK-2n1h^OAW=F3!#g=g*e|)qrIwFH_*xCGJ5k_&p%1tmcd`yj2i$(zW4X z^4j#Pc=ApSeX(Qyi}QR}GL0 zJakBisHb$lbzC6HjDLD2Dr_-j80u&a>B~{V5k(2eq4BzS&`;oso=Iwv`A@IKT(?Mt zCnN|7GS-x&bSGV|YkmEmK?yx%Ch@GX;HLpsWnXW_tH=gV5Bm5ip#>qBehdQ*7Kc8O z!R`{MxPDq3CIqJaqP3Ts7(kEv+ff`D8lD7T-M24;UOF$wgvvvK=mekt)9KE)ReFsp8{|aL z;OKRBF(zFCp3(xY2xkM;Ibr}Z)A)nDM>5lgD{??QefEqIR}(@B2`j$cheI5JbTbuT zi9*f41QiwdY1%>${Ox;qx8Vip!ZS2AyJN7XU#A%06S0G%=LOukR_Wl3)f34DL>@vE zGB=omYr)`?fQo;2rW?rjeWN_=i(a4S#$Q^fWiK5WzJn;x;(tL;Dr1RN`nOCYZ>Qha zylVm~fY&}ZM5(|3=K23*l=Hn+2^am_Po9kWqeS5EdP2Y}RleQ!| zNMpCE3RHL5%;x4gq-mfm8N}WW?J8W(>73IL^aKhl`7q`JiLL*VZq!vwtT^d^s`(^$ zGYy0Lg;_crPL%Ikot+u^NF47Hh$BHsO2oK0Rz09w8**# zAP{&>Vq{Ua&|Jfymy7@3c%%*fk#PV~@NY%TAR(}wgIx1Bg78oufN7x+FF|9)qdP>e zh;AU}a0p%G{X{En4HL6CLH}YDbm+`xMjHoq@w%m{0gB`5%U5rAG>X5rQ zKQE8xGyX=z*x3qt;njJxHy&x(JY;pUsh# z1e_=53CjV^13y7P<<5yKh!EjC#>M>j(Id3;z?TNFsx%>aSEbu|tl_Cq=sA|`q`bg4 zG;GQn2WPGkIQWEX4t%k=z*b4&F;iE>V8HF32L-e4R$!|A$v?b%<8+|w8@T_D*?11H zS;GYK#w$r^qQx-R?n&*;xL)!r~3crs3DJLd`LgX z3PpXz%ODnlNFplKNv*I`!~?z?$B%a=5G0*rr7lQna2dPxXPVbZ&m!kO?OepH~(%(@*A>z$Y zZ{W9iE&6)~kGY^-X1*KhhrC6J)D+ySpsxNlAGr&DMI=Y*n3A7LwnbQk%SAefc}tdjmB+Jr~cZ>}!3f;JnTCo)_0fx{U6b zzi8ySg13I#@_##h^~K_=d56xOJ~F&upX2e@U+Z6f{TfvCE$jJ}jN^$xZpzhlK@+Q^ zl`1Az*O?5%;14zpcY)y=e-feVSLa+uO{VYoO)>dz^+fS_VB z6wDuW>^XwoC1i%l$oP_r@pLA=XiZMcjt7~UjvF_ox|M}G zjkYcx&t=$<;kaqjswe{~L1$$*KM21Q`jYGEB*P#u&b)hf?dGT4iIR-raHc;Bx7|JG zT*pqG`1Ep~ce^z?PaC*@ijeqP1$a2qWH`sDbGl`8kDQ+CEZD<5r@{0o|p3ioG!y#S2$H7w{>~5OSdhb?(lh=i*~W$a#`I z9fMTxCJsw7O88nh z#y7NyadnIxm+|Cxd-a1|wcELrQ{F#QVf1Ly#_}2dX!2mSVnwF^Ziy~pVrF$qFp2s5 z5AsM|J8=z|;#BMWCs~=C1>9K|ZrlhOE5=h2)K3o|y7vE@ZMrXv-tIC zsa2a1)ZW|P2W1M!#DU$nZm(PcyBFn0ATXbT*LR>}`Z#>l2)fbreHbv0K)Xple6F3# zpc9GvY>?e=$Pm;%o~B1-J@MB1F-bqEIZuW+DV)=$*U0TG9Jqr)(9@$(i$v-OJP(dM>5-j~qUY z8wfMr-Si!jIGva~f$zy~lfrw>J!st5YpZuk+|S6s&n~B8Y5!g|mI9BvsDEcMo|{ko zJjf5FEqJ|9S3cnQLnB(7PY;dsF=+C~caD?odUvs)=x1#)X*GQ$TLsj7e0R!I_bkX? zaz%#k8pzi6CCWx`%4hIiey*B`u$DI{b~b+1wwD->ui!?&UQT(=7Q_$l-d%sIfdmU` z27VveDpOG7i8aV#s3F0v-x1B2|JLo}jfp2R2s~h9CUYN3u5q$JztMxp^_1XRZlDU~ z^Lia2L4|oz)a0HAseOQd1c7A7y+qGqTrnWz(RNSnyYjW=dj24yHQL!oG<~$6T2%tT;%`aE8m82xNk@n`7TT< z8Kk)SE?=i!G2JRX4S~5O3UyJjT0>Icp?EA1M&<6u~0`lZk4hL4U74{x#OSh-|NNJ#ymSa~2A%cTNi-XE=seYU;%ZiZW9 zrKQnU*UrC9(XeqgM(_==MY;Iu2#4YrN(jt+)NhFN=tQBasBk!P#X<->;6#RYRQUGg zR0>EKQ%n(#bz(vYVq~r4}G5mA! zpe5L~>ke3!vLYpys)`DhdS-hosj3QKh-v7sY12ri!Y^~$t+|QMAhpasn`p?uimEEz z!o$!d!pN%)G5p;8$rT(GTG9jee?dmsGYn*vaSN+l1LYulKwCh|zr4v=18~5%+c0ts zTmjl#RAEL%W-dXd>Pt6=Z5i9qL$YU2MRqG^;+i!T$Q2L-)J536&srH}Kyn>%Wh3;7 z|K_>@kKw4Gw>B8l*FTd2m1rYudk{ZpSrt!#s|vK(zL$Y=;Xn>abA6f z$>U;{&}7G~R6OxYO`wE^Arl#%uC1^lE||O&CJ&pMW*3xt*uHqfNHz9`6@5LuUC3lw{bl=#KK-fWB(3hG+#*w<1zBw?b?p-qB-RC@{?&?g+j^ zLBXJ9am7O{GcCV-{HQ60ljQ1+%qgdMi1tQX#sckAT1r)1&U-I-)lZ)M_`c9_ihJGX z&oAh>lr2yii-mCA+gIO0xnox_Inn9!+o#Ca!<~5YUw~9|F0wsiGsM7hhDxbT2 zhUXHz2AtNuA33QJZV`lzgZtF=y%!Lr@jvkkYENUlUcdgW5EkPc#b&^=(raQ7F$!g6 z-x%a5tA`~58xf~pv=P}-+);ZuNt-6LcU446XH4Qo6p}9mJl_{DdiMjynYgKZ9)CKK z*;mrNd#7z|tm%jendd&CM=x<}I8hE$dvo9po+sc? z4fjJoWdDW|ZIv#X?c zp1rMovc_v;qvk9vH}FZw^;f;Ol^z?j{PANQ!~#o~FP}Z8ip7btYp{#&_f1byIIcFH zrNr(h<4|9-GO?cdJq>QUAq&7=1nwiN@cDBkvlNl%0+g^l=60)>XW|a6HejQZulAXZ z4L^$S45yAda1@A-4op|25N zU5I^4$b!xsY&)7_%jU~@LLmKj6JkHVfWwuIfODSxj@fG$;j-}aLTS8tgy;a}xghT3 z34ur|&E$@{aAUZsMqKBC$>UFCKs<8s0g5G$APL`Rz`wUYS=o1l(v&N^#+<7#I=T*h zC6^Y8%xAKnUN53JJAmtxFAJ({qcE8V0RXgSIG(^^jkQk$rbE9d;7rS(^3 z+>DmCHb2q+Q&UMKS&m$fYz*1qQ>W$GB$>03k*1it z9(;6AbN8QY)mO6;Moua-Oi~kyd2RD%)S^fVRTj9PQglau$v|cVFhxf9YZ!#Q;I|{N z&tli#*pL>miTstU8z;5vQ2(uM95oq*0%19^K{zw#6X(|~1_?e!(`&8d&Jw>eI)@i4Oj0^= z5^=Y!f3xN>#WhZx^r``ysRt!Ke)&>W^16M}@``p!Q~VoAQ1pC=0y#f}l;8RAHqTT8 z$o)gF`!eZ4c`Q}@#(lk`IPmDjCHHC!OxdWG-2TCp@+w1WXR^WQI>(J3P2VT0Ig9>< z0pg#g*eNZ&RXu$IElPua131QqqV684LsiN?S#Fq8K(aq@1*v4=6#};~Enh5zx56&G zbm{H@24vLqh_g{pEEcTqLN>O$+BLaN60r1`gsW|Ql=r1MpzPehYL4$>N+ne`TA#IkJS#eCH{IbwE zj43BbK=3$K@?AJwfYQ{#@aaPk=hU8GJorEWNi!QOr{A#aM~Oh41v~X+w}sR5lq|ugd%U|pp}Or2RS7vI_fz82qUqdUrEzhR?!~o+n zBVU->_sfP84GleeFEfg>qU`~YFO^S@>w1?Q4*HBeIv!;^d~#Dt7MwYI)-xaurkfa8 zdQ$Ge6gS}X7j+P0A}F>OR|4GC;9|rpD??#;VXIw&Rj6; zy8~z(_`i?218fu~7ayRP;L1GEf5IQLAn1Vr&npLdkTj)E1)s6k$O#gXtwv6q zxCk|7f0f{Kz9}e|xC`>%Z*3$5l@_Ydf5*7i4iX>l?^PaKOVc`25q@eGV%#(ZwjGUI zT2<_{E(5=P8!l05c*BZIb7Nu~l#o~WA-k*Nb^vMeU#aoD z-ldbUjJjpbR7w1MLU|<2=JaKzX?M(kvJczC*q6LJDIegMxheb?wpx{0+TNW@OId6)QH_+UkWYAa2UrZ3(A4 zSkjloC34j+LfKS3n@Sr78(>7(8U3>v(iMB*f>`qM@|{_ef=M+FKt-~}8HF9GX&hYK z)>al4p9^f0QG40Yj~3QlWYnGbkZFmlikdb#m@Bz8ZHun3U?g&!-YK#+1kIieflGo+ z%C1Hrt5``#NA8GaV=z@sK2s*mpLgtC-hJu{J#>N$OhvlHCC<7ia<0EAG zWtIg_kJnD3yWvp@PpDmybW2Bk=lX(UdIn>bg1it$Kwldqe{DHoU}Va2>!9^do!YM^ z=R!-3FX-7GJu2yMa772r2HHZiC*TstRl4xqNg&Hu5!?~99~?lPaKIidC( zH%wbZ|HTo*m?59-j^jEP)8>A<d#)jyLkZc~J|1zi^o&N}|fJ8o8Rzm2imT zlh!>36sI_)?_6*IDI;PD=1+e*6M87sj7usbP&F4t2h(1l=iyFX7%YfM=~;O3DoQqv zi~Tyr8yy^88IX84m5>D9SlMmdn_R943QKMiKg2p94UYvuzqGAqe8q3K=v|b`mD^~f z_OWODCXg-tG0wB;C{0?18pt2^&PCV2>Q_@zI&L7?ELZ?JO~3?Jx~!Ac;GmSx% zzzYvS3(jyLA^Pmp5cQ+z;TR4urf=7Ah=LzKd2;oKWe*RLPY-eimXGOcdn}1&=OCCaIbu*J}yN0jD{}RkmpBXfNg3+iB$W(Kj$y+oGkaHHV@M3NDA8QhLpQ zh=uUjB!@7%@Q|;s%+GlvBi*ektcgWf3C##>1uB+lnX=_0zD~qWt06p*c8Cyq0hVamvjj zo@(umg&YH*FUS%c>LNrYrZW5-!XM<%7m)BN^vNx(ic*KE+FQR?4X*X&IAfekkY7~n zQRWjpY$|xqmxryQl-3|Dv+5ePAF~-YZr*(7=+cdv1a$%|_7MYt0ld=%%r5?tXtJ(HH|i9C>pqrmx|qWD9^;Zb-Oo`%yluD2A`fXlZaPq ziE9C)v|ICmuaEkFPx=mD0eb7sE1IIN-iQjAdeoLwH#7}!{BoW(*ZVcC&z7UAn@p?) z<6bGU!fp3wT2c&}&YryvzP#|j#9{7_jnt3wyFg)8X=UILbd}wj5@FKQ+a-1VU6dPL z{Jk^Rwf$+rrvS)87I;+*2?-8%Z}8~+vujhwr5@CKK+R%mOeKAaoti=O5|wzINNKTz z0HpJT(8>$&OyQ9bS||MdsFM{}9GZeVP$VD{io2@axi2d!j^X zKJm7ZSy6Vq5mCQ{Chr)2Cjkc+O$)j$aCcO;MZI*}r^_*nWJjtQjulK`@Tvsp9~M|I z1iN4x`QMao>0Ra2^0`shRwm}@B5#S4NbC7j=%kT;eTP&9@3!ldW-Qh=E~x%X;2B-% zsl(QPvHyyj{Oi{dFPGq8=CCV#FZ$FGn2wA;lE}q$682=8oi(0+HUiCv3V;9%zyIC(fihWIrb7OcJ2%8SSalkfW=Ny zlLcLIm!XfXR9i<`3xSF|rZ9NCnJDsp*ZPY$ZoJIRohmQCt1SOHY%+Bm{vu*?kp$y2 zPclnw+tg=~8KHMB4G*pT?yW}U&qDr~c7VaTzl)VfpRCvE8h@0!tBjy#IuBa$dKc}u zArsaCo!N&o20l#)U(XE{n4R;au4RZ^)^ z$3?zc3G1#0ucC9MRz@Q-mlF&IM@}DGH>V(#xw6VB`zHzTNGKc-#((**H#B z^HRv8?DdW?iR+XBcn$4&JRo47s;ee-!oDF%ncW8{zTzqHm$kZGWluAF$mcOzT2fQ0 zP64A;Cz-PsFW!rs`1G+{$6PtPwDoaUowg{USwTel?CH}IwYYCX{RIwlOwZ{v4Aqa) zSaYAIB^_&_6yLK!3LOs{?;3l#{TBI-f`>S>`zv9H7k7l3&EzR-vZUDVPz#BOJ*&&h zaV+UHEv7QVqmzCf;ql6$MW?E}q<}IEOfy&0UxpB+K^!ZJZ&Z-^Tj5LlaEx`9F`%R8z1z%8kUi0SY z#Wybg`DfaPmCBE|ynikuFHcIz>_jvP#2kF6sMwv}XN-aZDVU)Pe!~_S)>KwpEO3gl zZ9iX3D(#Z@t3A|NA!=<8hew=gr5kT8xr>F-U<+ zLX{gVTef=9pa=qa!a1Tk z$^a43WP*#OB~=4lP&p2F9>;&~+_g(ZRkhb)htCFJw}oG?KGQqbN_f^b7&=+Q#q;K( z>y~fnCKP)El{$KCWPm`YPMy>W>-fmf-ggI(4YYsXKJcJ#P#Vm;z|qqwl!MBC(lA-5 zE;~2LCn=pTERB$8*y~pyqzxV*HyM2}lMyFj@#5wo(|!HAwx>)u)18*L+da;egHsl( znmNW1x&(BR;$mW#uUz3!8yv-{(!`)&svP2I_*YjiU&b&lZ>qaob;tycE2@w$pFgX^ zS5ou5t*Fq+a8FOF2Fc?7Fk~nuH#Hg33^7+5b@YB!D$vy2dES)P`RE@G=f=2>5{?Lh zB|sgTKj)gl_FUsPAS?XZXNi|spANcaX2GzIQ}4ty`1$)29k`ybQG(d3uZY^*TCG_3 z@gs_#^REp!>hNF7(h6Ih{9mBL9x=O8-Ug zlr|~t)YUUuoTwtHpH5VX@jr!tV*OkGAcW;UQ71c0uP^eGVI@T1 z1{~)6DLoUkYlVdk6nFeP9Wm?ttM^EdBR0jvL|W#^p+kz>zdIl;r_=z%D&!(V#|C1E z;#I0(-TL*6urk@cT|Ho;NaV(xPtyd4&e?YLZqnyuWnXPA`TtRN=5ammYuC?Mh)O6l zhYXpM28l#ADYJ;!NkV9%5*4B{L^3xhAvPhU(x4(LG;L!^Ga^)`qUm{mYftAs`+lC+ zbN)DI9~=FC-{JbKYh7!t%e|_XHv3Xy~@lfWdcztIdThvxQI?YhJC3|*Y%f~+7$9Rfz5hc&e zZ_>_g^#sh`c+CqvUF>{Bg!9{C1U&nDnVtt}{oZn_WZA80h%=GJ_1=#@uXn$Gq!my= zY~5?y=4{ISpp*X0gSdg0gJum3G&QFXE z+wze+YZHnbH0yjZGENo~gPaCmLz_8Oj7H918t*(c8RbC`F7OgqDwb`SbMx4Fk&zJr z7k@X90Goam3y6mqVoc)?OV_bb`ZixZBb%)-BFY*V_Z-R@ ztqLL6q|DoP5NX&1n~r&yt)U|c!(u#x^~Za}BQn@B{0Vjoy>LMj4`I3^?nGTXOxQ}# zvzn`J!@v+D^NqJ=rU(fh?89{7jzddF z>u*3c5;kqgvoLrkW%?Ea5s%_V#4UFlNsvz5(YO`NILK3&o+v1U1O+uwEpU{e7vl)} z3SO$5v~ajEW8#w{DhLAT(^?BaFEts&xB$cMVpSy1J=_4X(%HbU5_U;pI~F{0mo~R{+~%nNujsT_^zj;vy3*H zy_YjnVdjD+@7M;?9dzyN+@a7#9Bmro#Ji=Iyh33P2_O3{Bw_{r!AwTsxfGho#YWbFj1VpozMQ9KWxOjM|VPpD#>8 zHC1I1KXnr_NA0K^H+l<`G*gpF?oIJKcM@#g!{;c@Y(78ZsNEHNKA_g5R`ybyZ0xm- zk2RXQQ>1U?u@L_9(4kymzM1**e*1`}Jj_%lwuZIK9QCM^`}zx&ofn(`R`n9RF*`Rr zL&qrivdzq1d|1{t*hwLA^7uF>ZQ=Ud319rCvhuJrb3=P?R}~?dOJl%BlxLN;oD7vF zh4Hi5;TZPbtW0Xa02aY{ZSw?A0go|}o&B;-^!qE+ z%oS@a8N~&g#KpyBq)GOk!k;^~sk@7~f6nr5`b38337&pNyxK!nyEfE@v8o-MYjL1$ zjzLeTI*wT`BfxDgE_Pqn>9Yn2aV@Rp!xN*HaZyIL4KyC*=ljoukozbxm)#2RaZE&r zMw~T>*iQJWw9HJOdeNlN(A1I=eRcH%lMGX-c(kL#*{j^LBd%3O+mXt*bZP&L6)QYB zNXT7mVmLc;jSH8P{c0K4m%b9^qpqplKdp4WjPpIjYq19i0B`r58xZ1f^mYi6$^t(=4tV!itiSb?TCFE8yl~&k0@Jr z5GyAqY*>ui&~?`ZJh}||K`_c8BibNx9AQV_z76h;jf#mq<13w{nq5`&CB?=CBWz7N1f9lQ#X8f4}2ewS)hRYz3z?I&uS1&e?lUszAz5m2b za-VK{N(!smu-9VHWg-uW>PTu3-9o9gBwZ6VlTyhUthRaX(xtA@ZFZZeGIL-+U=CpO zcmQ~pvE$K3WsTg1T366{q|e$|tPH8k2lEvY^%Q=X^I`V7(ADR#ov~)6++}9_Poj3n zELZQxMD`sDBRY!^N&=!3a8Tyzqc}V1r=XHqKJs3&A!(4gFCrL zd|&W>QR65<7pFw-rbGI`Ma8?zZVGI=NN4f?UEaoqAK|x5N&O@KL}?YEbHyQ(h`5;F zj@gU8)F1RK9|yIA?m`V1ddo*1TRv)n#UxX1ehGQBY77|e$s+UWQ!h654H@kwT9LYQ z)KpFV$ncdDp}Q#Y_AH#WyM4UfEXpWeNH zpTC#mjgv{1Ia0Hz>AW+C4^OESh~^U~GFDgeZ4g01PigAoHHSptn{RV-GdDM{&=U5G zs=fsIau)G&v~t4bY>v#>R{X5u9jT*$PmWSs%|Pb7=H{c>#Cy-O?t%b;M$!5pI@g4P z^b?_b`Uki?7Z*1%FxxuH3;`M^z`-G^s?l%{Dt9qUwP`v^=X49}DOWX)#u255BBYjf9mhXsK6QKWd=4olGQzqE za0i?)Ppm}$ab8KNCBMU2)6ZzJYuB3j4aS#-6QgLiI`dc}&@G5sZ8XC5;zB5fi#Q>* z#}Y_J)RKxyYh1U-?E)+yqg2Y+Q^q>M!Xl<~wng!D)?-JGJZMwNPK&Dd?|(iVox-U2 z!nbawFQadUsK-TSJVv-^qj5SoSl&OaO+8r-OP@4MxwBp925i%RAVIlz=xW8nNNYGO zjf&&a!uOmkGyrY%=iqC+`C#}97uxKl?3D78EM$BUG+bm#ZrSVCH#e6|W^A(fGZRCH zM{=_w9z)Fw(iE8j+wX{nm{POK&(_Aq1>MAC&F?b3dxPUuAUXO#rt&aAo&?>n&K`g| zbJHs!^NHt0?cw_BI`+=8Xgpnzc0fQtG|?yS?ri|*n*vYC^~Af8n*5#+S^fL&9g0&yiuTLMz zn>L(ttVZBf0nwfuw`L!N4RT^YPe$ysyS{PXT(*6A)3g3DiCGFYLnLO2fucL|dzdSq zIDY(%#iC`)_DPmEMDA_9%)A`3aaf-RFsDeSeQw4tQ)m@7(TcWqr9%Ht>RDoKFOgIk zz7VkO@ zEidpFQwbmo$7>@9OW1t8GxD3={f&Ad%Ulz7v^1R(9qc92%W1KbQw$ovi}S)yuh>7@ z$uCZvH^;>cqsg=X2wjX0fcX}nGDR46Y;FC zZHB!$*Xhh_7mry($PD1YMP*Hh6>pSB%ZxJZ>8=IGUS`)*6)M(f2xfO(lW zE^e)@i60+!I3Kq5@j;u1nRQMTQ-zGWU|wVgqydXh*Fi&6%=63ijo&c^_k?{-BtRP{ z?1P67X*mb9Dg%Hry5CvdF~EB}$2uv~)E8@0*{a^e;(h?kkR?DUZ{a(t3LZy6zcg(3 zkt4sKVWFBN>)59JZ7J!h(xv3Ez3v#cc0ap!?>uSFytDcVH$z6BdzvBbo?xF;GerMY z!a&};1({yZG}9S~ z3K$>Y(Muia0nC5YY|jhiC24%0XE_uo-a`!;lj&cF7 zLeu=z^z_ckM*{+;J37hSv+rhfW$)(9 z2Ip@Q8|Qe=)TnnEH(>&81ny$?3931uCg-s_GGbVwl=-SOV{yI5pdziVp9TFyZ0wK- zaoI7c#l<0w(Jl>gpFNY|$zTj1Om(#bvr-bmK8Sc0pZ_v`EMj6uiOQEBCUr+!jLiy^ zyne@Sfvk&;Uj4&S*1J!nu2axj%H zOBUgK3Y<87*OH5&!tz>Ndn$tmcNuMwxHS^V)R-}cgS@k>egbt@rnK<#R(5a$gurLW z_w76VKy@IiUO;`+gS)5bFQ)Lu@&w@7D4%)gz=4?P=!&WsSxLz;ycKd?$}KwLyx~2c zv3>qO)HX|+GeDEL&A~e}XAUI{L0?}n?zNE^8HRj}jZ6+czJY^?`UKKo1gK?UzIgFg{yLZ; z-nSI2`pabwf>VqP3@nL7g8L>TTS7u21w|h{;*Y2iG`jd4|L~YNSW?>=QN@csY~o8Z zhXNun&QrtkGisDzE1h&)wg#k)^{%pc|LVR{0ds=1>UcY$vIKNb?5B^9S*&dV8ut8LO`1V7BL0>V*~?%JNi^yRY}j7dPaBHm@#u{$0jOu(No-=HgnD# zVo%@!;=?CU2q&QVC2Pp9!!>PqFRZ)RNQIN!VCU)8B2#4S92~m$>kjk}-%;$Sb(5=t;T(T*;*1k3Zn$HuZG?Bwc0@%1b0R%|G#xWtv@fZ|Tz zW_k14Z(6%CsyB<+%8 z`?`yuAh{kr_LCH|_(BmcS|PG27Q!4ox{$-4L{yg9%cU3JfAuQ($G5~&?LlCN#R8=N+&1T*Xg&5; z0fQRR&Yjuqa0qY@JmcM}*?XhDZCT*9L@YE}Uk`B=WUuTlqr$DF$} z#JJFehQhUj>!lT;xEMzmG)*}_pCXRQ04X_{4g5_+!4sx|i#2}y<`>tM$B&QB-Z<{m zBaks`)`tuoDg?y7T2O1@JMubT#F0EP_Y)mOlwJVysFA4re2#*qx^km zm3z;gZABh5X_$JIB>)*BSiT_?Vu2nluz(ho3QA4Q^yMkS296qdx4PdlJ#)$XCR78t{Y%@yGtSRv zxZ%4`NBvJktfJoU;q&K9(Dx^Ohd$WdwI}Dp^hp_3sLA*T|8PdQge@DKoP>oQMh9f`_0E4v7G@h?*Mt7Wl;L|+rW+eS!eGE$f7W>iE261Jv#@^c zkjW$Bcc0y@2-3Yx3xn@Q?0q3P8tAN%Nk|^&A6}) z4)ZzN=&v$a@X;%SkR@e`bW7SoE1l}KtDvDjT!GjMf=p|rxk1KJ%%!<6+wUlijC4I+&wg3%D**Y z_HCXx1FU=(3LeRA_FMKq+=d%v0#eze$ce|!Jo{XTlOPAJRWy`)Ai4M%z*va00sva_GFEYji`R&nm zr?L|f=pTP*v3+5TEKLtM#IT$tK9UCD&-WoJf7G9we3*(T*DPNb|HNat5^K69d$Imd z_ip{);H}`M@Mf}HCn{>HUMd$KQw8bn(@n&C^&*~6vE>Xpo$_=(V8zhm#%5+_*q_4H zkQnTS<4581ARxFQD{abco~rC8Phf?|O`Ny{m&Z&%6|6K}{Oims=g&W70*v^FPRe#& z%(lFNV`Rn4^;XY@N#ukU9C8mNk+w6x@@om%?oU_AH&Rf@nJ3G*^|K|S5U?KVH`p;j z;kgyVxxl_c8>*!C?cE#gFk4&SztO9bf6=i=*Uw!_ zl-xG+&&NfnBBU+>faG@H+;zrHY2^(RxxC&K3G30aclcm@MTni#uV%Ws-tzI8X=|$< zSi%^D{43tjOkdoJE|tHIYkGEawbIJZw}~<6r0j%j2%MHF>^^_FuVjDfh=szfC-;D; zkd`Lbvuj=wqQ%j_IC9w@8IqS@S5{J+Ys=y4SfAI%w9vR=(P(aJ((1aQi~eP(O)}Qm z&L};a#2=8|WZDba<${=oc`{s`oFaa@HuQGKn5o|kntdYSblr^QU*0IV>iA^QcUicWY9(A>sA^8(zSv# zHx|Mu2`5MZneXL3q8~W~7%%zkl%TNk(P1MX5V+TTgIJPT2{yR>sY7Wnl0E1qz7v{d zoc!!~7y8iZYU%#uwbLDI-|xcfngoADky%z~%cwfUp?jSv4-fjR;uNjL_8H;X<;C?- z==3~{B;D)E?@@I@)!-V;O)Hn2NS@exz2lI>3M2l&TxUCrc$$zd>)QA|l7@=GNmhl{ zb+ao3b3obnH8BEabiiTEgKAgXg{}jq?$G+IjVs^_tgSC_Az@&cIy&#g>_=<(d68kn zV=6dT!}!yYUj*CbO7|bH)qHH@>*bxVGaJTdq?9{VRHs{89&+-+4E}dpN8yO#KW%)Y z@DKkoKqtS%mK zm0(*YR73j+F&$7Gp_eXo6OD3)85%QjB8I9xv{JKOId=r}|HzTeY=vw~G5v|@!+$*c z77)qu2H83S%9->T2^a&{0ogJvA^O$Q@&>h-U`hK*dy@35H=yXInj(*|S+^UQ4CGSl z$Lk~{4R5?xGrjGE+)7OAa=aJt>Rfs=^=E8zJg&YJb!C6Q{K_aEKpIS4?4uNMk^q2U zOaOp5tV4NYRM6oJ1}*`}91};>h?f|Wp1)~^7(+{4EiL|Hd$>Bo5JXw9n37*?@RypL z8h5_&Ve$5L|Ba69Px(%2$6YEzTKh^#b?eb%!DPXeGu~GJDigrS5Qb!mq$}OnJ5;< z80YwB2oh!i=h$~Nvp+r*Y+3Y%7Pui1dsT{WN59@zT6&s#`L+p&tsN9N)G+pL-84o| z?^S+&)aCu%S|mDb5}vkTXTL-IzwGx$ptpB z9c=m=P8AriCp(iqS?$BCT*f%mync{ulAH!=^Qi$4QH11QTsYk54QCRw&7(n-xZRRM zQCZ|V)$|X#uRM8eG*l&ncE;IRzC4PCdAZin2nOB0yEe`(& zjT%xlO!hCB^o2ShtsH~nlbcYXD2}*lnpjWrfP>~RFD3Yfhmcl5nCW4iecypxT!JHMEoEWLtr$IZ>rBmLt_{v9BQBurX8 zk|K((A9#cy_?t+(hIHeXEfHY3z!b+!VK6}JW^H8FS-*SRt7pA_{Q%}Gh&07}?UH=Z zhQ!j7y993GB^q!rcHQG47Ja3^_K{PjgZ~Rz_5XCF=x5Sp2HZkI87oEIopXEUW{_dz z*`S7XjS&Q%gsSa@-MjA2|DgNq_&89&ojx&ogFPFOXTtm8#p0BPcapXoC&_`vU(PEF zJAo6m>GQ+Um8Jyur6NZvEKK-<$HlW(APJE`G;qkO&6^J`AZH6Na^}b_RGS~akc%Kt z+Q{T`?9em9^k_-x>-p`}zwIQ1^`KcYSyTDRxj@cr%RM492qI2;R zr@^P!Not9OQ3^=Yo5k~um2bp%ZmCW=kPA?Vs=@sBc2{s3L;xo3{6U|n+dwdv7=K2? zsMNSX{7OI^NrI2AWsR6>D!AOu%>&PzIV6K+l3K$se<5mdtb%^)KBOR(K}Ju00c;-t zz-Rw{B=L$8(=y#aX$0N4ww9Z*?(bhwXTX_Kxkf={MSsKWQdoD%A40h2N@%;A#lv0S zCEwSE=Gtny5x0cGNX0#(TzeW056}~jMi0Lx#^KG4H7Ou}pC8jC4alkCY7nC{A>+l# zk5X-O@ve7AcMwT1{AVVM@g}Qm%P2(rpyN`l*6roC%iQ>YesY^ zqRpb^Vm=1*gc!w6W&b@Us}j9>ZFP2T&F|PY1rHVNYA5owN>kW#K?L;rcWPZGGI60T zQSr*`G=IU+qu@Q>)X=;41mr4GwNXbl6?S*Bdy^TCH}A=N63rqmTsR^Pxr9u@XUUtk z-xg}#5o_dRrqp)Etwlr7sZaVLt}PY!>_fM36J(qsB2AAvEN5e|l-tdf>@hR&3BTDP zL}S2a$+kc4v_!<)dmc+BY+8-TJK5AMWUL%{T$h?sbhlINFU(#RF8pew&od^nN?)UA z9})d&BHoRoO5b&S`HqPl$OevHuETQnY=orM8$F!6a%BmYjPNr8CppIQz*1qcS_BmE z)vFd*S#z2oVg(BM*fAtsavAEebQUP0Sb0@t_KWagt32n*D@^Hbx4Na;+s~LnmU~G4 zrH4OeBd4-wQ{p64*$5c~KW7=0>D#bx(DO$-cpOmYag6X`1+Cz;AE;O8UL<#i@cnJn zhz-DIgIbAz+~09SsHmL%*2K$0dIfp_FyxK6I1m03x%Vbua#>AVGp>f4kbvzq%JkW)ZUi09Yu*Vb=4Q0XFy6cy< z-+eB{Ai74WEYy0;4oz<5jO<*touXHUhT_vR0tR59IpOD0{T(Mdh0nhP+o?8WF<&On zoxfkmNHaC9;WyA}A|8WIn;o#{KWNQ+(hG3%zT!Wu&mMXj4>FRK?W6;WIG2 z_ImI5Zf+10(dN8TL{B3RA!%|xNd~a~90ftAPwQYwviO*1dhk^@%J>-o)Y@1{IXO70 zuYNnWB5#9geg7z~lZa<25QqgNSQZT*;I)AOU<=vl>=bz5<=qU=y(lc~HBj@wtNmmg zFs^lKr~vm7C}!9eP;(^mpYAxh%M2Up>ne;K9{dZ>IaWzYMA>Tn`dK+N)pwFrvvpu9 zfgis2C^co5yc1(Glb2+y3{&yq;U5>gqQ;;}7l`v5M9RtXo$=?XrqvZ9#| zm7y^pNxbr8FXm1L_%jMlbt434w`6(dA<@;|r^IzxAWMsopttds3Ep(;XjYX708`Ns%#}9QRB)t%Ldn(#?kEC}Qd2{NCuqU#^NCP@ z@YH{JzpH-!(NVs_%BtM4S~CMVC~2v5T0in0_9zqcOl-X!6ttW|!tHbWToLh&--_I$R?4)=uw0Be?v>M< zTY9yQdDE-(bau&n>pUQ1*~gCu2P(y8@Y#?gKq_(%i7oq3Q4tLV1Z05Nv|oF_#?&Lm z;9Mi<>PKTEIKbiB0G?Oy7t>50H6Eto2Q!dBji)NY_Y)V-)18o*=)Bh7O-is2OsPef zt?I=h2_v0jv!;vL$BiU}El2$EFU^PBxzm{7j~)Qb-D%*v)Gwx%?fx&5bStg{VK7{y zi)$H4LNOE*zB{`=MSvS|VCA9M8}b|jaJ{~zSRqVP8}4)p?o2NvA{N5qO6TeD zXl>@7=BoG&Z-i_%y;fxluc^1(XEKsXNolQZ#j-4;hU`?%XuK6I*MI>7tc)OXE?k2;eNkERw(rbYV2*qEHV z>cezsey&ytc1teC_w|Lq;<{=Nq+~wcb@#*}YXHA`izbkAcq= zBgkzY`PsAgtFo}H5}4r&IeYX^a<(|+4iZf3k|@pD)E)G^twADxT!=xWEi^PVP_7y9 z2kly`ry}t+*J@ndcr(Tzbb6reO3xaI0NUH80Wk(s?8Rf~Q0;j;ASV4AH6*>|m19u( zzibr(eC%0-d->{Bh4I$n^^K2-9!=j21csO46{+;wi|Cnb;bHYov;IW&t3T~{D?nQ| z^z@C(>>S+r+T0EzQKI<{-1nle zXk_Ogb@lBv#d=&;GR%Z2HBvnSnOqFke`tr*>2`hTonhH9xKQc%XG;7_)DW8jIw#EK zI2YuuPRajHrIuIO^d_J>;$?ZoEnyFaon2<5OvZ4z0E7?42(pF@Auc5+J>6?YxUg^q ztbcw71t4Yn4+lHDT13^fhD>r4^|qytl~t}96Q(Hd8TS?gqmc67b7lvT(C5R6QOwDC z25zky0HxUuiM2kH;DCvWUKK40(F|wr;lC^}CE&-O7(8&QCqIc--2iD&|eW|G(==g}6lA83QU zA?wbvX9z#0$=hH3J$mz;azQA5`cJ-&X*cv#zRNLFKYs1n=nQiq?U+4TnNObdsgrBZ z#k-O5cP^gQI1i^1!fu&ckZv%2#tdX%iwrv#w`}Rqe*R&m0_CFcCM5dsOpS>XGjeBs zYNA?MP$jjyuqJ9;=~tbWqvTHg3-3 zvuYFTkS@V#pmjyEq;f)44MpjspeAogm5C9Zf`!p8XE0(^ufu4ej1vCBM1kg{GQ*s1N`5}v=J>yx zbxKSFLm6eb!6W}rdkH8rEv)L2&KCBt5`8#eiDkKebbl>yqs@#9q` zM)oKqRC@fH2S=fs%J2Q{YMGY6nM*)~0+EZ}z1~1cf{9nJU7Jy|VD3M}dcM`^e^P?y z?lvm)@4t@U@@m}xr>^av>VLr%ltZ;~+nXAqE?np;p~Yo*S6R7m#fmvOo|5wyFAiY` zlm5QZ7ZK$Nl)khyKbKGlvIT{mB-pL2Fuq)+u5Z=2y;!*COx(WR-~TG|ZzBq8c%yb~ zZkzrtcH5iQN#C%_+q&bsd8GYAm93Ig6`3-c?(hiJDLnk{yc75TgbWQ!VnTA-V8T}; ziFyB+*-nkFxQ=fD3ZOO5M(GcrQ21f;BWL*+&N{&%fq}ZTUz}mZ{l2S-PM~Hhy*S!( zFPNrLXIg3Q|C;6c)ZFd56_rG%JqF4WeR~2E zVpeY1auezOo{n4kPdQ9*9+70TE}lKxv77K9z`Su7)g>wk$m4gAF?0W}z2q`$c8Sz> zA~Ix+m6ahgK>t;Do^IY{?#}OOdivtUP*v4Vxl&3#p~bTN%Kz}Uv@QYES7+>^dAHFB zkspn^J=%9$qFo9wWyC$}F|y<$eAIsv{N#&y{QOH#ayFlfkB?`^o%dw?@{gZ9@oI?F zyH|B&TIYnmUsit1D)^}v88K&0am(kgP3GCAmo~KVd>adH?8&wk?a~D*r10i}v{g!8 z?6^71GKj$|dnTj=IugL_B{8T(fbkNYn7B?pzvxG`g@PQ9vz(ud=}z2W&N z#^=2@S0dQNq{1YWA3%g^3&MF_eat-TZEa~E_cZ+W&C)4Lx#J`Pt@l29^l0%o7Cck> z>F=;%3{b{VQBzuK$1OzBSSk*O&T>tNv93AWK8T2DjQYiJ>Oxqm)d>E*y))=<7<>J2 z_=%0_zu@4=QRDs9w6%ZG;=rT2%ri8kN?j?4lqU!WGK(6>_tPQ@;-C01(Ggvaw|M{g z78WMw&=Yi2K8F=C*cIH$9d6h>Bw!u!ew=)NrDZ=UJG5Ip6d5^qKDhAOl`G4aEa7}36$6yvyNE&RU*7cX+B*=hA?-_N z$RlC^@;e&DI)}kTlx5G!w~67JqP00J4f{b3Gqm=T^XEUECj$Cdwl$P&$>YZh1SD&_ z#xNbVzKS&+j}Tk6Web^UAB_7?nRsjak8!=U8am#8`a!$FZE#FEvsNBQ++J15f@wic zo0vwwXVJvvyQ1xa7ge6mu!3FyBbBFQ0)tepo$n$RKJbF9jWVP1`n+w^1UNf5sLcNh zozBqsEC`e{GvU=Ye$iv6G0ntag`Z}BramW>epIY_GF6cMfQVF7RbK}D@Mvv3gStW+ z=|L95F0wJ`NW91AyYt=H;CVADij{{h>_(1F75vj0Py~9y6k#O|*-2r|(9@ipGR5FJ-_xN_-}(iMZ?}4k7kbiCsK*ZY{Wq z_ZvPAAZ78(FTQ4r@L&?|14#!)MB^2XLW9SuGPhiuSrRH!e0GmLJ9Kid8ixRPwy`nD z2jK;8&0zl)un?p!&r1{4kW#=WB3NbKqD5<>%!tR#h;U}g z9wRcwr>B#9+r6$r3|E}uaqay12@p}tbuCrtVVDyVJM-l6<3JXxW1zXUkXpceP*5~t z7n^HN20zRl(1m6Y0cgg7{<|N;od#e-`1o?-*;Nc%l&)5OU;dHvir!LSaRdn`#$-+* zf+P<5`Q-5qxAn!Zh5C`Wj#tN7G<()kLhwbk-AZSs;Re}5@$?n2*{L1H9I>iZ@3+?21Z zrsnNJg!)j{w+9)7&4q0v4?6S;y^l4gh8{i6PjtX2Y}|o9Eixy>@CcIHjN8dFw+%>5?RI<3Xo9s#v5+5Y zX^4{HsyV*t5Z%f2C3<^geDw1f?sJT;^d&eEoWl;>+|APnd*2dI;VZ zm_~JVW0d+Xdmij~^m39Vqg)0|>^vd+lOt775ad06JWUKUiFdX& zUJ9}aRJ>T*#7^R`j2+7rg(SLkBa~=2m|ZYaW?Df@jwHmlaTdYFwwk&VCTxMOiHlImI_{lW^lL$vJUo2_FuVZ8>@SKWhF^~+Vr`$1j)u*+}5GJia zcxnWk2&K%<$qCb(ZeX^Mpp9*SH<2iXLp{EeU;SyMhTBbH7)ZW5o&bgxTISogPwMpn zsuPbF!4I~ab=~)TuF6-{417iWxrF@WBN(+Asd17L()n%L^Pi*aWQ6wwpBR&BGsKpLRj;grJc?1OTt5IJH!dIaRkUlrSq zchVxg?`%pEJ^@?JfpHFcuAc{4=whDcENOBU!t!lUe|!`#6567mot(JgI zs4M4n_eltw?zY3h-H$&Cg)X|hq&$%MTQHT|%Q!eXU^+(cpu6<+p8M=1%-}_3HhD>!X+*vj&>n9Qn8< zHnz6n-MXcP2`wP}y}jmg?I${ZlPG0O^pV^u%@^V@tj2Lt^kO%?dSDr4(j;2HIl=L5FN^&f1~Z}Xk)gIr8KCswj`uLh zXBv6+YKyR&vFoaCyusnc1$>wHIh7f;|nVCuNV>T; zH{$cl_h<`QYtH;SaAw-zb?;naUDH|IXg_*Il8>%&()J%W&WEQbH&gM6((XOF#dyw~ zx)H0k|ElCg3h?3u3wC=Sm`CjG)@Wve!_bs7BFq>xVM5;%J&iVlAM3t8NjT4#X^MpwA$T)4^O0N(1vOnfW{f{cf7hUc&P8!;r)E{!qy}Ev+OB`5!%+ zZgiob->J&PrL(=SX0Iq6IwR2gBK;nalF3B;%yj#%lUU?P61ja|iGm;+Pw7^t7ZDTF zMgR=nejOP)8w^3nN``vx&EO zaVxd8fGlUD3JLL)HyME)Q)PoK{X7b}ljF&_l0p`1bTnV#=U7gM()-hDa?LCKB-`c*a@ zyGx@B($HS!*(~X&x>vNb5LRoE?k^{GY^y^fu@OPcZ)v3P6z~k=4ClNLY<@ybqfa!F zlT=j==O^=4l&%!R-TRhvhGUk7%YL>@QZt^6;l~Pp*SrPKyRY&4E{{)fPCM9ut%RDUden~{joZz&s@#P07+iFC@JRW={ zfZU7QJ9Jy@@9FJZ%;XY2N=PW4w(Tu0(Lboi^WyYvAdeYBYFFH?o1|#Llg~M=aq05@ z0=F$m(w*GL-SiOoN(b}FaMCjwrO|{)6iwx2_oT>e*5h`zkn=^m`6ACY1Y-xN!f!LGuLT=;zgi?9V!zzhm_Oj*#qW{ zE@BtA_UoE*qB1^JI7Ua@(o1;1zUD<(WBv-8FOnD~u=&}bGUT0vH5Mf3?~Hm>Ek=He zhcsPlBlbV7I$ES<*H=xAo)EsNl|caS+^TV>82Slkb>Y(O3jkQRxKp!tbaeSZx5F3W zTW-_~1Z!PQ-9(x|CGw1{Wcv;!>r3rkdjK1Bzf>F+l4u(oGVFQ`a(F&HuLBs9W}DRE z?h?=MOTnYCcWRS2Vb~v;+Tj?o$~wZdMqu|=PjhG7K=&qC`&D;EJbw4_L;s1?39Ba0sMww!GMnrl@%Vq1H44aPl+?(AYyjkvW7Oqg^u9N4 z5cNf)7^yMfBWyF0z!f*@?%$t5W**@{P%WS*AtOUV=fNBdqkt$n6NJCR35-||g5+xO zYj20jPF}91v`J#Sp5w|av9RyX$sc~ZoV?omlaX^+_B41+vLr)JpH3idVo1O{zFT16 z%h!pW3M)T;+-SP%?e9Rv=s5hMGwqgF+k6rVc z&TR_W#p9r|s-KN?@hDu-QHw{J^B$eUcaL*1F-|0PRQ}q7-kZVE3_OEnmY)1Op}{x1 zE~4yZbR*v3b@w0F@vn0T^es_`8MXiR6uIC;+ZS^g{Qo|FikVsbw_B35>2`r#RbJB@ zaT^7ZMxfej$ZeWUI(E}(fcUSlvWku>>7<3QH%X~i;-3ln0Tm#Uj zNBjs@=aFXiam(DUyhA|kTKkuVpKi)K;AwH+2KBbi&QZmlr^SXPBR?=fkH0rrvwowI`hrrr5@kbDG zqIkq1{4^(cee2WW5a;a5r5d%NS0WV?6kqMpl#nWxr$c9#X_1ll$>Tk1=jXL{&e(QOquKg8K&U?~Z|a{ZAsb>D-$zmCHb zo(9p$9)qy$tu68rGfI9B+mJiz@c#Ta$`5jK?(6yc_8Qw@)Uj$E#hm8ZH*r)Msy6y? zgkGxN-^9DFChCw^ji0;n+Zj|=Y_UAG`m0tk^N_#NcMV-xgvIEW%K$9@V;4%$EqDSx zIf52L$Nk5@>x~=tdrnTTkZ&ulj9(#O{^6rWwY+~iLS--!4>lvufsNO%*C7cW4cysf zTI0qY$wdD(m>xLfW`+0HoL>#?PJH8)J~VJ*PDaLB8daDv)!aq%&CL_p=EtB{zolU{ zem|OI)fwAq+-cf)uHlr$d-NDchO$CUDeYI%x>klh0J8-H)2f>F;_5&W8` z$sA+jfJHSq#DRg;Boqfu7ku(OZAGFx?^z0c`Nan}CS3LVfdx*9%K^1+^ly^CcI$X`GI}<;Cg#qT6!Jy1)na|1JwB?)5G(9{C1+VLbO_W z>IO?gd_*@lq9kG8ICo$ix>QIPAN%t^6(`*!8x9(hC=i$f51M40z%McPk{!#) zqV_`Ol8y>bMyjcaZk9`FU^1nYvvkFZgVVb6utKVkEw(+S_{N$ZY<;|RX(?~X_3PI; zr(Q2{9Gu8ff_b>zb(4V2|;+U!2#RPaQA1=vx7bZBjD*~m*^#K zEXMuR*GH`qKR8P-hZV~cdIo5xiv_0j7Om&rfo{{CHH)q;H!^yQz776^y?P*jjRBFz zragbqP8(9{qT{Rfd{LzGVl77Zga+nA#C=ctNg|rQ262n zET_JlBGiq2^r1Jj^HHu>;jqpR>FzSfU$}&d$^0y?GACliNr`~fC1c?VR8<{+eq9$* zlV^H0+A)mmXb*0Oe50+PkGe8X^y?cDc$qCuI(oXgiRaab*&sowOd-(QBqF-t1LXlX zy=D9*?&wj;)e$$*e2)UhWk=d$q#8eV*2sXYru;II{^B$E(Mz&rXNKp)axEJ$DVpDi zU!}nQ9o)A4#jJpi(vv+}mM>nsHzTO}QE3oQ0<=E-%R>q`VG5kr?qnt4nA*sp_`zg# z(_84(qTFcfYhIua`dz;-euui+FMWoX186#)IfHb@t%AGvB11z(6jK$yOsbx$qXHB zL)a;2DiaEgXS5z$wYF8iP6!__UzNqDBCVrV>8ckm1MgK%;KV~7!Zvp$&wzr}6g}P- z3JqTI^>1r;!|~(nd8_bi-1F?al>8-#g+_3 z4<~E&l}tU8CwktUlW(7rwAI1h{@sz9j~g)(9X@lWmETf2>I{^}#vLz|Yac_f-b?b4P6F&7XGGC=l8pQHEcNV+)Ge-g;dj66gFR zQ2OlI8|bnxMp*vmVxEe+U?J3n(<3{!48;h;8s{xrR>au&BL)UKW^EwnjsBM@_6t5B znl+y8>*udwW@z^`3@s0X3PT-dHwd#T-+l*9C}uczTegfGJzDKr_JapF!OVHMf;?DP z5LqB(CwA`K+4!`^JN6se4l{krRbzl7+rR(KBX0!^wfM?O_=XU*+kvw>y1b*0;Z!!e zL$6tmF)1Io%A51EEjA{ePo(Uh2+BxzyY)TMv z4t|wRpEiyOG)=wFO(&gKFJH1QN!Y^p;K6!A90*@BXj-szDcRfV*ho3E3A+*e7DZ9r z_)#mauiEMFpN|z`*|qF6TAsITN__XuciVL;9Fqr*LwXSg?A9Zkxn?w?r}gFlXi-%H zQn;Te<}Z?(fB(i-+wP0H?yiGJhO_L_WzX@?V@?@UJvk|(5{=ZDycO;RgF$DkuUd7sFPw>0E@!+ZN-*;wK+1uiq=IOE3l-Na8L z$Ez?Z`fK}<^>`v9ke>3%d9Syu94m52SgRz+j`yt|cZ#1ago>X$9LV62H)RXQ1&7*? zh6W`s0u;%NFS{Z|zlNF$L(GYjCtWHtrND_$(ToYVD%3u!*$Ju7=8}@1nd8$Lw$LYG zg!wG9rQYg0xiEw+$qdoaNhp{^C8F8+TvrFdt5#RB7$8$KdUu-L)~y!IJXof?XHS

m-M9`Z7bi>*3a}alA~zwxj`LfT9uy zAl&w~WlKefy!kUR^RnfCC1&1krhCMbdn9Qw4uA^xoz7ptXRnfb&_>y65^a`TAaeDe zR+v}pLmsa&V9tyg*1YM44>%*+7ny3dLXBW}^SQ@>N5u=AbT{Bm_r3gkY5lAhwwhN5 z3921k376{nDVl-7r%&&bd`~v{kJ+sa6^BqF>>%03dtYIe$S5VHDHayDzlr3$d>Pn~ z{1YZYWjNlZfq~h*x^?66OWS~?m62jyp^uN4rask#4WrbhTHaT5d4}s4*Z5B2nMU9= zLyYwJSjT9j3F#XShRCJT`r+8CNa3&GD3mk+I=yz85v1pKT-TFunw8PkJ*5`H!XcrD zA9Y%}&TX|wJu$32U|f>VD^Awi?e69$f}4h$%u^U3jmSsRfR9Db0GcTJ!9&$wysI`j z&1{c>`#5!?LlL(evA_kB;90ka^OQo3vNIWhuBz2rgWg)#8iK4NWjL4)^0o{~CC zgbD_kq-{)eOS6vdDK37xXQ|zm9unm8 zQfFfmM$adAJH^w+D-u``#Lh9o9#P5|<-nggh}tpCgtH97Z)e<6mj628g3Nl{T{MQd zLE3lo_eHaggho*A6nVESNx`cT1m)cL{hL@A00x~32n7QCtiljIz2umfCq+f<4U?gB zf_f3clP(YKvyXa7s?*ieLlFKlbu~qFw4{p>j{~wg>3a3J_>T{Lq*OC~;qU22;6S*w z4JR~QM~0M3w`Oiyzkb>6?b-%ntwZ02fBpIuj<(dgXVb`TRm-Tw=^p)o($==NL5B~g zz6x5-TKd%;%P9w~EsZq|{$0oT#pZKVkI~Qw8uP1xTQA{Z|D?)(9*~(c$2GTB`q;0N z@T0`CgH`T8tO@Hy8xlbxNlD9%jX#jCM75RMaLRaypDccUVbG8ZaVV%0WW-0KV^C;4 zc)3W@fbNH?CKk5n@?u|~m<^ga$fC*XU@292$i_c*0z{O0Y=wIJzI{1QCqi#C0){}j z_w^eSf5G6xaWz2Sy@?Z)L6Ie+dhq%J?blO2hCjfjCVzt-bLCQFY!Nqd`QOQba|1KK0lQ)N1lcbx5$Ns zPY~GpWH(fbV>j*BLFj-!#O~{i?ZCWMt4i5yCP)>Kp0l+S5|V8^T*mYfbeI2YLhGJw zB65;;3wxHk8Ab=kpctT~kHreFG8n2|Q}cMntL^RT=usrYOmkZ}ckU`%TQ-8xo2`UM zxpFV1)y~%WZI1l%=@IA8Z$Sx0_sMgQWEkQ`v2HQxNiDbNkN;yE+B9*sD)+Bvdb$1l z%H6Got>64AVFI6er|f9o3>?Q*6&0AU{f`{6+`QRTy!r9Z4x3xwL3T6Rzvc7}(pdV| zo86*ppF(U#QGD6zPu~LMr$K_^0AB&W7p${oJv1+k-nw-?z%>k&l-GajJe!(8IK0H12H+%ZGiz|RAnkw; zbKc-xj*AdXhfX?lZcFY~roU%VX;VCnT%~&VRvEq`Dm~q>sIlv4#QJ@eztW+nPtyvu z0HN}gp|I$_!E2Bg_(@+$@9lSYUXP5+rcHsN1;v@|GcUt6y1UZ^(^gA?i)!1BhLFUH z`EK9E>g&VuZ4?v~8l+B=>i=g@uKjIP0ZbMz69idaF4%jVrR$zibpG9Zr_lT7?p}9K z49$2Ly13=t7!n+joNN}>R)h&D{UjLdT#zbkh2%NZ-}>Ps1_;&yB__J@Vl>w56*bdECXN|jpFgkv@@r*9j$@8cv$NydZ*k}dPYvk4#*(5m2~q};JMoxV^ws? zLI9RCeDRgJM36?R#{t=~chb@XEE<3MjgTHU`2jFKh8b_s@EN6Wc|7jI@q2O7CJD_z zJv@~33E4r~ET+D)B2g0{?cLQ*Zq7B9j`~TmuVF>But;>K#eUUWq&Ib`lT?`Mzg>?* zAt62<(PiwoeG<8)?hoZUy)WIX75{F;(tizHOBy~JACoplU81gZl8hJ}qI&T;c#v76 zqTV)*mT6{YE}*6KA9t4YLK3Hi!h*1aqF%cv{^>V_#8K*9cexc_y6%c>sBY=(7y`ZZ zTAeCQmlB)I&gVgc*xwG8O)V%R8o`!SC31MEni#VvZ37jbax!zpdDzgjFiyMQGn$9- zPT+#;451-8@ZFvCU>!!qS6Y{%72$&^Kv?C-r?|6UuA%@jjJnzNQqH)BZ*_1}zBaz2 z0rRn&OBCefjIXXx&FSG@qJp1m-MU|{hAPiCF+q(Rh9-3K-1uu_CkMjCbG}?$`-PtT z%a?&@G9`A*Vjhu~X9xESO@41qoNw_!y&c0x7IhiW>Q&Clizldw7*!*mW8Hd5%4Tcp z`xPgeX^8G`cE2U#Ipr{VSeH2d&*gY__co)%5d+Cj`X0KJeft*(IDgv(jx-G+P^}NoAYfdehmXEA82uoe?5jD^x#7&q}B<_76D9 zh3K?-CO$h)*ay6}-keDTM?aRnQ)NIp@)cpXs^0cqfdJrvva;N$(D4Hc5JzKWsedI` z_;k;?X1g7~%nqIdu|@4eWmNP2y$FqsAS>Byq7*< zz8QQMu1-wiMm>jS?EjBV>wZ@qSKJepiJWlyYnh1sAx4lbrf-T>>7X1`t`_}dAdZ+% zm=Z|aAI@O;`()wp^YQ*Wk?-t)DQ(8lvuevVL&u{z0BNCb@b#9yZHQ3$<&XD9XlE-@ zMC=rW-FtFDH{DbD+h00L3^GsNwnZ=@Wd~yH#&B61zG%n_P%{HpI9u70OYuw1&FOmM zo_y$Ry7C+`8MFRRUuPbSbsop@2b+$~@sJ~-4JBfwv?zIOr#))46jPhD8oQfY$$i!g z&)5t~ElFD@jkS>>xkh^Cadc==+o~k-Y{ztv4(*0#Uq5Dc_McsUnZfVj=l6WRpZD>3 zf2M?8AW;+^afIccj-jR-OUldPBY5Im#jAD2)jYYiPs5MB|5zK8KRHrz^YU}Xd(jB@ z`KR@lnM@5K6b1pCLnXQsS%v1R0BE71P%({>Xc}iU69W1h77)v_fA;gW4~F-32ff8j z%Dte-N)N*jKuGHpZ6_eIzP6T%o-NTcGP<(TLd(=vdUUBhLs^{mVPES3s{yNu!#Lu* z@7~>$q(5@mQmblZ2n#n7=Bv2CZZYjX z83wKF?MCFvmf2r7OXJyP=HcS846AO$A;PPAuB-JvT&aDrL}6&A=lFdVdwhSr-C;7& z1aq<=hlB1x+7pg0dd7@qSxPZ`A|Ns-`#4S59^qa%{4KgG2tB$bUFe5TxQ?;7LVkyb zEc}NnK z?;s?dn8AYuGQY)6Eop)KjGaPwi%`t&IS$30QFUUPgcG>`OMn?GlLg=78g=7nosmXT z=dG+t(5!$2EzQkikjnC`)&}D?1Mf=R6Q^%HskxQkzU^J%vYoOIGGC{rs`A}J8{W+A zpcl}wM^B>~uN=3uwiYtuBTN}sfAr{g z0@1!{v6TT*>H5;c6JB~eq-G8_ZpZm1YSq%Z*3}h3`mKD=AJB!AQ5xKP-a1WlF#CaO z(CMcm)CB;c)jE$31&FwnVQ|{3>)4@#xfu@e}Bg4b}y-}IAy1{?OJ#%Y(mSj1F zMD+y{Ujz!4S;Ui79Z`+sf1m?vLz|StXB#-zS^qv;AAx`MZt}c`$C044egz=|zk-LdZf}+W8h)W59kF9C9nh!<}X*{JoE6#&h zpu8?rRSBVPZf?oBxdH=US7MQT)Np1CPXTJDfmkdoJLd-XPgN_^mZ>ewvRtvm!GSc5 zr^OqNL7e-Ud1(qf+1VmtT`xi zgzeV*=VRjCfNw}9OZ9hE7i`cRqErQp@bg|o#dAz#=jD~aBTQYcB00!`!+}aGM#|cc zE58{PxWurthm!rL*+Kc0JG{UU;YuU_?3dVirjXKNDX+p7lMfMG*==vWVozP_7m&tqil+0Mb#5OP4cLx=PUHohB@mP4dr9+^hC|{855r_7fqy`ibVgH p9X~N{`Tvop>i=~a(exuqt=6Dv6@kvdR>Dhuwszy1vQ>Vme*-WqC6@pI literal 0 HcmV?d00001 diff --git a/assets/table_transformer_batch_output.jpg b/assets/table_transformer_batch_output.jpg new file mode 100644 index 0000000000000000000000000000000000000000..756590dc015870065304d8da202f1d70e6c7ddec GIT binary patch literal 335761 zcmeFZc|4SV+c!RiY>Dh!CfSluM9DI3wj@!JbrP~A2_a+7?Ab#IF=a_AP4?Z`C6y4e zjv1BgGs-wKGw1xyuKRg@_kDfqx$gUZuIqVTzdwG{>l``Eobx%3&vCqu^)swbtQmyB zX(Ll3#Fi}x#1{A;f;E9SiP*a3*W=go)?W{HwqMU2?Cfmp+c>su``g9I&9#k_n{(SX zE?zEfo?j36f7^L^w*UI&*G>NIty?+R*f@ANw{iaMCI77_Rx4sB7h62rF}5vx5L*V;`^5Dh(+hfaCHg=9}obWPu;TKd3z{_W2gBQ&KuNZ!H82onx`%Vr) z*@MTo30XRG?(q}W2v2>?C3m8{O~h(|BCmPnW&}5nsF=8fq=KT-Ugdp9}sveC^+PHWK?ua?A^HdwDkKKnOP6Aa|#NJ zil3A`Eqzu|Syf$ATUX!E-qG3B-SfKl&EU|-;gQi#W8)<9?B_3E=f2G^P}jcySf_1( zKR18zwFSZUZ*0NOf8=W?%-7amd%*dNuPs}H;EQc1JBRGSZGy)wIi3B4_GpB237<%P zT;9elr)fnIxpH%WM^ye0NrC!{wZC!pUt=ude~YvKm$856YaFqiZ4114Y&#Js1d~w^ zzZda8uC2NWy1K0eDzH!7A<(ALA_=`Ea%!a{L3%7iL=H5$ zar4XB=&M^hT`0Ioz@^L`#qX-gvkU&wq_yL=9$1dOG*Kb3l_@UE@ly|q0Oc5NYq7I2= z5g3lhzY?6+pY38HG#3Ce(hp#=0iS=c5I;57W4ygX?-h{Q@5#j;Ti7uo9ijOl#V!nM z&O&r(eFJ`212ZoOppz2|K@9+Yql9_I0&h`&f5WtAo((&q3(fVrQwzrJdIOcR185_C z64@+7Q`fP{uy@$=zu)I~%Af8W5o+&UhV!gVwop4pT|IW|)wd3P{$^8jI`CIse`6kL z_n7#dAB>$uvk=FKKlM@28K!FiL6L8MKuG2+JsI-g1;Xb*RrE?}z`7`ZG&jQ0l?;@b-r zqRkedG&Qpj`_=_`wIScZh}f z+&^+!Wz83oz@KCx3MyF$4mTE}eQkqfZ?1p;>p|(K6|(zo z1gU+#?n^qnR87S>Qd`2Qx-@()NqD>@dR_5jfQNwu1C`%>JlN-JtwvvHh`-*8T%~(= zXHAm*8jKwtgRy^H;U9^AUiOQOUBh{KOIY(SFZ>mcPwaP&IsW>HL2N2IorUHSbE>F!v`07cA2i1{tI;Sg~o*aS!%C-gYGGMf%~!3+FY-H z9FfN=;{LU0R`>$53p_kCQFee~#e5FTJT>4Osy4UVWuWihg%(y<-A~Ru;aA_6d2L@~ zhN1hu#EbUgkI59O&CLo$%$BZ?^KWi;cnVK!%zsO31jJ6|x-X_85_g`dsi~<9SG~48 zxVKQ;WcJvz!VgAN}6 zPWXX@t$W)qb5Hpw=es58@qs5j?>~^5KK7@8?d z$}EKG3uZNevhGb}M8gR98;SPPhJ`?pScq_AMhDY}gx=(bp(xT51})Y$d~n&!&)etLvs!EF>zy5sQrUbi-xPO$%-M`Z106@8cHEDg{t0^) zg5Mg($k!MCNb~vve20*rFzgdYrbSqYN1I4c8^=P(V;@b~j-!u_)Q*(D6H3&(`N-{; z37M%j2|X*K$VFd%v+H;V+dbntt)DPNZl9&|0E6BrA76&P9gKCdmVcr#pJ%WT{U9&{ z{}skf`(PU=@*6NS4lq(T6HMj(-boqm+h)zK@#^*Nby#e~Kgj40q<<(jj-=@1EO!~) z6I(+cU!LW7E;+8dE#bz9uzhxn2H3{^n9-QiB^4+@Dtt+1`p~ha?zIuc64F< z3@O;trJ>FhMsO8{T!|JbzU=CDj`tpdeUpMTe442hu+j&UWq0%(Y%U(elE#ZBGJ@@!mVYEmztj{UI~6yn8^Q%IoFZ_m2_V z?RDeUm6QzX@qMem*~ahIlCtc8hkyJN~m|}5y6o`_V~RY_xp7}zIf~# zLVC;b+VB!FBX*5v!nQm~ZKmvrn}VD&?F4n;Pa^yi?H`GiBk5lJ5yOY}doB+sWgdtM z*nLY&-KqL#;GgvKPqcrev*991_ql~{jCCd;I(f?P$ccB04J98b^Xf1@Cp&AOF$q5HGZB=lPE4MECfJR$8lO=d8N&fQP z$)^g(7b7Q*ATzMAcKr)%J6G4JHdMPhu}g7PV^5^_b@>|OlWAweZhAURPn-FB%5x29 zT=U32ZdKQPa7cU^okgI$N4+XxDpt});Ljh%18XA4Kaj@j(G1uGAP(er{`J~u;G01# z#P=(pK|YOt_Dtj$Vmm_jylYKu=B2qzcK5sKLKP9`QX?ZLl2z6={ve<~kp8jE;{P>9 zeWI?WwlTWw<&3F|Uu?4B_80nXix&7k{6DMzc9$cz=rjmC%DAUuT6KLN_ipzgdFqPy zzlQh1w2^V!+4{_B?X>+rtu(gw=I`LY_OAg7RgJy7?=+s|kxkt&xp-{y6Pwb;()%?FaUD6fNLE@lq#yOdabZO;ZU);%)wFgQ(1tE$ou-Es_l)`OsrOdt^VQJQ z&uhKgcIbp5Q8>BeW~LEn{|D9n1L+@W`yws|UD4BHAqJM5qSh{l_)~6%;`zM>ycz>QYPzbQby#*82z2KQL%(+6XN*M7w5Q z&^0ghk!9M=vz(>!&>@BDCV&06H}>@I-fFt_&Rfni`Cu<&@n51U>|AJpBpv?H)i2U@M$hV@Y21syk z*0MYK@Q3Onc$?$YpdR~1rW&Kry|+SvJLxcALfp2&=yM`yA#M|8efA0 zx$?h?Z}*lL6R6tGUR=9#x9*7<_Zyq1TlT>*Z-TrD3o#Q`*Iv8FG zK(@FmPnAg^hb}&tNi5F9`8ShW;&v6qkUzaB-*@E9b&*hrmkB7WGK7a{S~;7eOIaG= z`5r;@t7|HH`$w#c9?L~Wh`Zjnl{51W_-un_2(l1^w%;e=5MKTX3TnE@LJZwRoo69D zsj|!*X!qT`3vg{g=-KCrxs(dC)Q`9Nhls_P5Eg>Hg82k>oiK5j7C0J6FPingpL+-QXj=CP6V4d4#N7m`tnfYgX`;3 zxuL37Z#-5njwq|n*4FJb*>(3}#A_R$FeLpt<`T%HAHjA^>w`?nI4r57SqTs_SneEk z*GIee(E$y&p4MomO}^V|xN9bD^0i!hd8T8@(`%nGuw`*1H&cwNVM)4CejvFqPI``y zu>Cj@hQt%FqjUV?m4*1V1BA6Bu)W0Kph?UvSfLd1 z-J$J=zg&RvX}!PP01Gb8T1>2{CpqmIgtpmX4i6Z}1pBvI-+oNxOw!YTx*&G@Ntt{t z6jsFT6XGM;B`ivN@xJqw_q_wgQxqhqL|h(*IaPzRU041{T&-$JB(!rf*tchTU(8S! zmTyo`_gPozyd9eMvB9lts=1HYEB#I&WqG@dJg>Na+Ic=2Ty%?*izT_oUClZ6G#}Zt z|LqNgfPpCz*a$0vQ$!YR`n@gTz^TNSK7vn{XQ znN|d=-6&rA?z9qWO2DpkUUyju?tP_-+Pj5f+VCBY=vFLSF2oo5(WfVN z|3y80y3uJpl)PnBm?moH2vK{b&cpt7>g;6Hu0*37-pjsR3<*%5f`)eR)_^{gbW&C< zL+cS(NYnVJL{*C}@H{tR=aqhv9D1oBhb;ba|KQ!PIjDneS6;p`l|IM$31G*VQ{62< z?@}*fHD_WAviF7OIIXDGW|{|PWx`&h-rp--s^qF!bnU^AFliTTfnVEi0>h@B;Yxk*E4lI z*qxR-+8^tZJSOaU6(wcYB~iN@`}xHg7mfqB4mw3e(t1HdN+InwY_Uv?`T&*_gBoa3 z_9X*jg`It5lS3-v%Q4R`4=>5b*yr7m_+lNxpQ|{hkh}k;2iwZ)rjVHshQ0b7XKH@h z=8^#SlK~scyHh<95<5PuObaL9G};G<1ebKQa8g=|XVGGd0-ob%Q=GMErB59VK9%{9 zPs*p&FFlKYYjK$mYs}cmOzv6EpzxAbmxgDj8^pfN#n-)eYNUpoq1l%r^(-~oflhfq)1%?=jmJwTV^&SHZk$ZOJ+ZK zu?+O@sG(#;h+nN6dQwxHa!2$?$5CZAgxc+MoC#155r(_vY}jsPK@7YtON&o}g-EgO zj%T5-NW?oTZ+p<@*IIZ>71BgMx<*W#dzE4y{rTjVZadQ0h4OI;|1VBTUlC@b{84Ql?l(051fp!oZ*NqLR^ z;9>l%aTInpjQnblG)B%;ZV2N^d4AepCm21mShN<%$7xlWV{#_QdO0?(=#=eo=a?O# zFC`U???|Al`I4o4d?9@kaxm0&g6SROP$Be z{nDGf1$ocjgy2A>w`dW9TmQH*$$d$V?!Zu__$DqRXQ1jr#uku1bKzoSXTI2-`Shtz zUL&e?Z8xk`BAJU% z(8=oH!n%(yFG|?9pFPb&9{lw3(RKRc?gLz9t5E~q+5`%^Khd~r;(HKX3p8i!an;+UujONU zJtCC%N#B+a6?0D?@r=7K=h1J1aQt3Pm4dj(W~M?(MyW-?x}@Qh#6zpXURd^ztJmFQ z76PJu5QbcVrTIe0- z1r{Zszg11jrK2&A_FrF`yStF4pVw8J>wQGG$W$)xSlfG|{vae649r?Eq-&{#9Swx! zCYu6g0?p@xqF^wpYvcB*73_q#iro0?#Q9iGZ$XU}+%Cr5bCFv8BtNCNb z6^p6r=LdbYCd!T~uPgshJ!)@uQts(BLpTUncqCxpDgMwsaR#$KOPEL?+jOBO66|0A z!$94)gJM$dHgS{s%>BuPlqP3S{grIe{l?ykp~8xq{Av5X`Js(Znr+hOlDa;-d`WSm zT6C{QqbpaJ$T&&pK=63SNy__J($nj!>$-i>7e2{aiRipd(`hgA&b;Mzk^PB;nyPQ(bac1M`8fd;e%eQv%UI|Gp$5OKLRSnvF+0;-&cvFjImq4_fM_xR!0i8z3}P?lg|(GftJIDRnAN7o``=Z;dLLg6&tD|TjgX)9}(-kr54WOKg&DFli| zXv$bt8-c?>3TRW;BJzB5G60=lF6L`c=E5QQ=B}xflpHhH%HgXmjlK81q#aVrw_XlDVj~h}9wOJS%D`>Wx)kW)_2-i+a8dX-S|pt9r8@FcjN$HxasQ1h zM%n}ZO{y6SVcrSHqN@f`f6bVG{r*p9&9g1CK$~p$ELHuE59YwM4y7xG;8I}k?ekR1+pN!HMb=i~zzMw%X^4eq z7cU9yiq-ly{4L^@J&1(rTAQboXqxs{1Wk$Hn?VhMc=!$$YxG zlnR$Zj!i1*wNP$AQmt&NR3t2+NN5;UrOpssoHbrHoI#I8c1q^LUi&JaTo1HsXytR- zCb2btcO#Xb#;YHH`t9!UM;hp`+y_yai5Er8wjt<5+GA$bI$^AlmIF#qcp(wt+wb$J zC0#Z-g5bU2JIBWLXf#bHL7%1=%@~tgi6#%^=N|E`X8dfVyD`||z^;Tg%?xLpq|~qw zmW}rKc**-hi(&?{bM!$6#T^}9Nzl#Q-n{O(HHi4qA`ME>GT^0`FgU;j zYGfO-dRr`Ijw}`f9R?#UUQsdr3+AODm&fKrk8jBXL8@vLe@Po>9&bt3frd0wHqGmg z_$yUe2p>S8gdzL^Xw%b5iF`FNF^Q3?2g6H($B{dKwqPv1GRJ{2$)TkMm$2`RS>G=? z3n4Of^`RDlSHnVZYdj@sKuY@QlPU_*JbW$bFVLF$s6X zPQXd*%mR{;y>9p`hdrRQtN=rVAhm}{hYP`9qLGwVTvZlR-mC|?vGSdT$P^9>)qvZV zroaqb#yS8^lYvcP_&%KHe$8Y&+lz;{lN65fRNpkoN=B_t&9M;s;o3tCJF|!|zsCtK zs}X{5j8}z=V_D3tF#fQ`{*0w<2*EA70suS;=begSmJV6n>UU6E0T0}Ed<0zCKt|*X zQb!Ui;>1j;DKX1|x|e4n#0~wWo*X~tpGeVHX+!;UpLiQCuzhl&DS(H`p%zjMS!OaM z8f;_t$~;q&5Cb7SYYtoYMKro(a*2GnoO;K2TT?B><4D)WzRxLX0|cRgO;i2i}AV=lo)-3M_2uXq2_P9)HFw{WZr`gW7L_rrsK1C zF=%XhAN6XU3(cY`7_c%+2>^}pGCGP0LH&Bq;-ITngA^W=%cps#z^RHL z_JfQtXiCNjFQRH=69W_U4|imZ+T1oDbo^;kZhU>^gTdlgDTl2k`#Shu>+c2i|Mm_Q z(3IpW{EY~|BOp}YtRwTVb&mNn$Dh`grq`2SDNcNmIww%bQ^?!8YwzY)XXfK~>+V>` z`p3kuCFF#IAyf|Qs#|~Vn0?mxKy&>DLBDozw0>Re4t5(x2)sz?GT>&Yfx0ALK2T$? zd%QZ=HyN3l${|6WscBcyR|TD-#%V@=wc8!zdKK#k(a2ZGC4GuYwTngeuf#SWr>q^e5;#KwN;(yul>H{BE% zJk{jKLSR=>Kb;+MPHzd{1ks>0>Me~>TZe<9VJm3+i2A9y5U&E4nEqq zvFjvUfQO6rf336qoT3L}-=f6~cro%rP3LEcXjPGuccTDyGyXu~Ae9cx$ zrA9M5vsNPG`1Oy|aK8!j`wg(^_S?l?=Ukr?i#d`Q>k-;$UrkBhm--%olkt^2seOub zd(Sn6m8o>UDbBrq3p0AF@>WevgTd2+7I=E(H#qyvu$$HKSJ6MX)fqdGU&D<5f^c%P zcto%eIVD;h!%5X_vopS1rEjFJa&Dk{N?WDTtO#1V_vS^i{)3$k{T(S|HZ(M-GvjDX z0@~Hb2(3;cl=m-RG}Ojo4$sh4q@+Hy#t7MW2=?rj&DFg>=eLfB8{+@@`cnRVdC0$a z1WVJB%v9KTP#g^Tk1YsLlXevZ3PB;;c#~>?W8R6cyk-z@btcQ!NAB*)-B(QE57is- zg^}Ai<K4X*q zUx0r`IrMda%NC!^4W#-geyA&isKRz3uaoC;+Y3qES9z;7PG1drCG&>4lf+(}igLH!-re8oi(DJFSlJuN&{AV9YO+EfVc3CLZ>uFh0s&y-5n zJFTy!r2=Of)|;zavVHw%rHZOI_JqvrtaNtWa=~W4JJ+3=S8}|B`OK4X*BWK;)qKsg zYD;}?qqJ-O*A~ZrP8Syd5frReeY3GCqvYDI)iL*013Bu^*4==>!n8^Cp$7$zfYV>{GiMv%fNcOdE(iofazW-rD}EeCT@G@WO@yLTnvW2kQ>#~R~_ z(LR@ns)*y_TJ^un&qJnV*`VXPcgYc8(I$R{Ar{+xZdTCDo`{-OTZ zu%W!M45=@!I?*BDjB|6z)bFjP7Td}AT_KO4$xwqvuoy54lL zw5E{kjpGZxJ>G3@M@@h#9M?F~8xtB_#IqnDgN6sv|0xu+LoJ2S<%2`XODsgy zws5*CMyH(mWvFrz9Pe)v-RbpR)5Twl+^%@#)=N|D4Sf}xS=7=h9R&?Q$k=vt6{@wL zGkD{4P44^JAw5r0uDR8;@{yk-x(}u<)=7uwtF-@)1%FuZe~{*1qTHYZ@F4)gOm60A z&C!fnhS1zhRFI@=saoz)%-(^H@uLEkWM`iTVuH9k>Xsv4X&0&G?$?lYOKXAmcz;;Ub&>BbU^p{-3c5;QmE~tl4VbPAfD~1y_ z5W@BWa9NsMcB=lPo*9YAe#zEL%&@Yq*KfOu+?;sj1zxvDF97XVF)pO%ZHeet;y(wVxd} z=!?bB+sxYrsgE%GJq6$nVuSX>n#IyF!+ob4?BtzYVn*CKm&Mt8MZr5V{wDeEzr(|S z2VU#o?DhuG`ylu*L`H4;HQ;aHGXQ5KKQy>OtSE`T-h#x~Q`EAH4o|f7y1ZcMHWTU- z#74Jl^vmF{_Bd=6UfEqv!|wonX{9xzs%m<+)GX5aN=|xdOVv<|1ktYlP{_|r z9h_Z;%ax-ClUkwqmx<3I!vItplBpmQ%MJ7@-(ex}!h|1_7RL(WRhl*h{>QPF|9QOS zZ$I%5Q8VyZ=h(IWft z(B13#YYX;`#X;qDF-FOza~b2R)3#GdjmOwNeS;@6_{Gy9?hU%41%<7hP`QiP5juh6 z3Km@HUTmc}1y^2xr_Vbo$DW#*UJH~^vs)V=9WR$uzW+@0_*(h-<{~&?seGSHB8Y=% zD==_JBWI_stov*|<9v|zb3gn9mn27RL(cN&5ZO!9hL`-ml;kRQIWFT&3+@=WP=Xjc z=V%DZ8HhWlgM_}T#R2!*n2n^*GO}P6neVJRpNY`rfnGAf#{McBWO?ntxk zkn#SuxtFa^jc^5S#*n|$p4Bp|=P2D3SOq)Kvq|3mJa;e+{pi&ANlY66#46bN=wQwjVVNZKY?1BWvIi01zP>_5Zh0z`xqDo zce=4s5E0fQe}j~l#8;_j+9=@v{bm=>bF`7UR9viqn!%5%p!gXJh;$NGbPjJP9d-<1R>0a1g14(AN0T0xP z-R{HN)!?u(t`_@@;hjS~pW%{o2~&e!G78_7BUh{G)1mg&$uFAj45wGFLo^}EYMXjI zvC4g^u+AIbzC$4`5ofk zMc+-j+I((YP1fO(%8++Gv9ROVm1iar<45_s znZ}l2AMBKi!4widD9_(*mgEj+kz5#m>JW)mLf;QU^L8QEoNK7vaX}%Zgn3>4CT00o z^{spBq>py-&-(&8j~q>3H2B{8FJNik9GzsL`o1Z_-X>J3w5H`%K4Y!dHpNK9eAeJ zMc?r^?dSv?#V>ZLyo4c|q*e_?!<|*f=L~d9Rfk$$p_eGmZOCWkQb35>nZ(qCQ*nB& z2Q-h#^+5mb(tmIk-4cQ#u;%DL5!sLm#Tl?oR= zap~%@io$E>t6O&q9Q$bxajjBfXWct};as_vZ?2s<-qVTZzhW_QzMCRtj_j~AT+^F& zJ>?)2=B;_X&9dr%!|qx6^dBW%VM-T&*(Q5MGsrQEkJp}7qtGUVW)8DQn)LuLcu=_>&BAS+Um055%BQdw<+Get4hugq&xew;d# zZ!Z-*ZknjU%)dMsjn0s`a2R!@m9v+jL%#t{K-$cdA1M>+t>{Dg( zK($3OY9J&UX^Be#wZA=8fAzqwh_uxmPcohW9slJGb;>=go?9%hS8y3A$D%_=GCp24}Mhr z(K*xu>Krtc+6!o$lGtuyDVs8i^2Co@kT+W4BW)<27U^Kl8KVsHbBlNb)vS(J3#0j( zVMpd|{N}SZ3!BP$l{dO*jz>SoSWmk00buC0(k<4xl|%e|fTFHibhe0&~$@c&+}meV=;{mx7g;&kFhThHTpv@{lm8;TWbJeF1mW>6zZDebGDh;21l00*?&f`k-w z@Ma;zSDce+YrE~=Rj&n@nw`3^b$f*N&pRrkGHoQ>xH|3O2;d=s74gPVEO3(FAbxYF zm0^Ruj=`fHH|N*vJLL~dC74uiYvI=JP=+QNd$0jS$_<{ zN1X?1Ls#>+=Hj;oPxNeZ(4JFR2<{I{De=tDyudqTXwiU z^-U(slo5Ga4qz0S`KXzEfK$(fs!g<}j>OU(F$P1vO)eo+mzsh-wR;R7|-1 zh&<<{5FW}b^2*?nO5>^(z7m~km1kXen9Amg^%2XD}HC{>%=YRP8i zDmEi}5>%_%^Eks~5~I2)Z9GioV=qtru`kGdQhr-5-u;e@A;R2ln}U7HX$%~9uy-;a zK_Wmq2bu06m);8Pu@I1ADs`nvUGkN$im<7<1E*XY2TYvZuH5WEEim2_EJ0Q3D2cOs zl?VF))?mVQrcI~87D`QC=}EkYjKYT>%?3OD15ypWZ>G5T2$}6^`4(l-s5s*z^-8K6 z^R=9Aj@dgJ*xRH-W^$5SBFivZRN8~nM9{`Dw*9u8z0-+>lN^(X)Gbo! zk8LglA~wzJnZ*X`p12xX3SDs=!!jM5hM(4?7a0d-`d=WL+Ar$`}YtV9bvDpi?)k_-B z0|NHnHi2jZN$<_9D0MxZqLc1^MdNDOAqF_wQy=U33&(}_)n;eyEtPc(!Z$Wa&GPfY zt=gE3*;RJ$%+36SviT3_dC82zmH3qrkIvLHNeq*3Z(29lB@u(aT6(^OpE~Me6HpJ_ zK_7gl(em^U#HPgWkYNQ2A&mM_huhVITRU?B4siLIs9&vwy?6(@06sO42=49g$p&VM z>^2xe?(pPcFlly}(%IbiY|N@%~(Ku1_XiFLm_Og%QFh<&Y1^_Dr#mPSKM)D zkJz$K!@-jsqnS8L#UWoQY|l}}yl0?#J57=pd$khGQh1+1cFV&@jSNg{XG=}=b5%M# zZ$D1IaH^to%Aubj2v0<1Q_>-xEV{u0QUtCwIL&onRVmB~+u%mh=v}<_^tUWmP5U?p z<8=1dY(?#QJDYr_q@E6f<}>KKC`1)90lmY(02=b8a(3oxf7AkmLF>8m)iqVkk_s&; zMW5cpOphEPCGDLp~XM$S$!TqZYp^5f)u-#H{ZN7Zt z7!T0@%IO}eQhVtWyKEb;$OdRkK+hs#sr=cUukvxN26Sc;!4nyeuIdga69q7*Kx7HH z55*U}YC~y$ajQku$FiEcYNFRiP0h$>_s;gg&S|HcOHCCe2r80t9)_aB@r0Q?6u;gs zs-^|V=RKQ;>T1y+!t9ZS&7f&MeH@LJ5S>2pWY7)nIqqnSRCa4W&@1B)Bj*q1t3Zo5 z+$+A-Wly>y)Zd~2mb%XZiB75?e*k>*IZtwnh^iSQjbZA!a$Z3PPCP+n*s@1gU>#e9 zoK#^zTA>oU&nQl5tBM746TL zR-?_wIKi3td#ZX5ZX&mJvn3oE2f*nu7uxf7ce79N^n!s1Snq#((;|P`A?SRES^}Gt zpKOw2q1tPFQ|ZNP!T6;)_=8=UMJP{nEK~i%)ie!Zc^Rih7!u?>bqlaeI;V{G zxY$@Y%cxzV3UtoqdDE!ZOLEtdI*#|CpqJj!&%)EM1(cpHq9k_g=v)#*sW{mF($FeK z{lzy)pS$)G+52;NtGszVFzuzj8Y1bkr|KQtDt}5)61s@B=yv?4Ia&``N!JD|&QpjM z%m%$s{_ZgTcDwE7OIlRP?=TXtQ(3cz9w5AKAU5r7~#6T%{AGhIH{&m?X#|J4EK)(I0^w3 zdm;#~DY3*?wH+2bP`h2xVInt)LhhTPe_I*9S|9HzKl!dUS9IS zDg|T7%tNE8OIe3qY- zI@8oECe6r>CrIbRmUh;-}M>(YpMNi{66^h#>Du<+3 z5yi(Q(caT^fJsj9zL1-gYd4nX%g}R&UKrC-;NlWoU6>LEI=X>{PQZhOU}z(m18612 zSvb$X1`F#Y3_j+BSSJAx@GM+_$B-1k=n^p34lOk0FwvcJKNB^!W-Qt)_fpo6$`Jv+eM#q8s<-NML` z$3jBf<$HDKBPx!(pVH3*<`_HIS%?V?Y_unE4E%XU3Y`7L!bgvW??MCc?q5UE3sS(~ ze&(f=WhDGr@UAxOn?zTnEU_7ct0(ME>;3W6UBJAwq%-%suXNE?IZuPJDsAx_XG3JF zdqCe-H06xCICk*p#!@cn`R68TPs|~EJ`4N7N7R)f?7Lm0+$E|Itv~0giOfj>j!f;O z_v~@$W1|qz#z`Y`0Ut_O2$hfUX{+M@bWti+qcm-1j4$S*-;9~6hE8>#3H#{nLui3O z(Z(3fMBR4v!_OWj3LboiIrs!~3p_|U3Gt*qhr{lgtkyi#S&C8ZbGvUiUP$em!Jg3< zOE0VEuc`XNN$cuh*y+IdpctA+QpdB#ms|5bp9+PC9s0rD&;*HpQy4CN-o||ngBQvV zkMKO-$t;A!;!nVaA(BGHZI&a)QE=oN%R&U$Jb)9IitY?I7)Uri0Pf9)+nmIa{95Q( zyV$t72Ama@*K1z2csZlc_C=(P00|nG7ZPtl?=Q(5o7PW8eVU+2MOu^?m9J9WLy-3tnuZ2{j)s&Z`&yV_)ub*JiuDB#TqQb zGfr2Hj6zNZudB8jJ(jC>DiZM+yc z<4@^n#l5mw+A?b~Uf7D>QiT=|j%>5znOfNCHLXATW8$!jyq|L=hFvrG#YS?OfvEt9adD{waH3a^Uiy2^yTLS5ZGhe~4~-YITZ zeN5dawz}Visek@A>7o8kx_C+0@dB~8m6q{Ou-y=ff{$gK#aL2u=-qbe@fZbw%&RbH zUbbBJq_59YDn{*@7nhfoHX{DuHN+fBnlQ@B--C^E`4!}o!UKW7IVJG$c zTf=Hhbs4s+nrq#gd!R(yxUaBnL?@TQ1)&Rnu%Vm8zgP@B67v_E3Pk;WC!m7>xWZ>2m2y%b(W7v!Ou=$# z5&rg$nMk^C6zUtyXT}1M+V>aSHU0}5A~4GQexpCgs1nbB?S+52MF1Xzv4Ct!A!9fu z`O7+gv;F^H+JEN-|9@%!pVVz99r|VLCo#0>%N9Yqai|w9`9pn4J?Zw2a`}7(ibS

(d~ttRLr5V`q(_H; zJEVzn7M!;moM z1T%%;ArYW|yW33Pnoqr>_V%@*V+$8&#YBVr&V=8;ckAe9!K0FkC=!uS0WgK$!S0NA z7u<|7tdh!uNmzk=k{ETsMn4v=7 z1`QsyXGjkaDq5uN=d&c&n`=@%oG&?U-?5-IQTT<(2^UR__Mp!sclx9_JRS_l|K zA)ccehXd}*E?tu3D$#MZNd9E4VC#jIkiv+a`wM~&*gt=bKQw`S6X%-l;xmpl2LTc? z9$<%q#79Jazy&oiMDqtj!X7ic2G{Fbq=I`$>PZ+&4Q|C`Gl0@XoB zoY*>3$;A88w5~H>PRFh5igk7MX(xGZ>NV;n_1t=k`_ujfz;Pu2e`i+7%)5=ab@eD* zx$kliDVyPrpY+aG3F9SmCYAx!S~~CN@mJT@TV;Y!w=J4(XatKOJCC$*Vzx6AF@6-| z8PrlXHKkqDK#|IR`)g$xxG;LIS?p+H)~y)(|A)Od4~M#c|ArM3iiB)26;cU>s4R1p zB1sdKovCDBCL|+crYwsnROJ>M3eqCSUaH=!u)`{%$xX*R;@SUqP-*fInDs!Yv?m-6daYlrrBT>3g-d%o?yhq3^_lYQ#C3+)95 zY^pw`-7hFJG~Q9~af(*x`^@#gqo=)9tN>f5q{*dj?%Vh=;tV*1!uky`SqLco1&wVY za39i~O^0Td2@#kAAC&gs(FJ#$?sQ_%%S<5=;bz$C-}!vSAye#H$bf=lv=d}2#KEr; zndqaUdJH8$4>^6m(nZXa{GNmHOKkffXDzm?vlag#gyqIauLr$01&0`_9Q{GS94S=q zBs5>We_b_c(9CqllB(SrzL|4}z8;do2ytU@?#N9XF@{H6#oTISM|eJT`eb$OJwx04 z7A1R)oRD)j1EmjLIQgDW?Aj``k`|oj(2&n-@~&Cfskh`l7i4kR$5xz&;!9Qq=%G|# z;h}qs7*;uSr~o4fG1*eQcL(#LzI{D$@NH_IXZkX7==_!&H_Uxe=Tje@JLcIwjiL*! zuE`i<1##nNv0{hVMi%VNybm}=q~q7uk4hg6@neBD>G6#-MtBhz$s1n_%V9__)hN5elv7pdGm~F+u*w z5#1{m=Yo|z#?|>6FofEL;LlaR^KAynDg+Zohey?PBMp0TjOXvk-*>HOKz2Iu z25*lHnfqu>vC1hk4R%@#jqRt`w*UGBP{`aga6v~FfZK0u z1vKcVXa8|a;?vV?UL<+`4(<&THc0r5n+7rx8mLC&t=t^)d96V$hbo5B%Qa;*$-F0J zx!dpMA8vkFn`8vHzP`S3o}<(I0ak>f#2FtS9d=!gNFutVF1_vk(#FrVK z7Nhk;(c>Y%z&dO4-GN(k!!nzn?d_DFqyG8p0fWr2)*1*K#W%pO58B27$7wU$vOLy& z$-zQ*nfvYC-hCB4sRIEzPYrTTzgWji7`@LG{51q{ago2F@%cs6vnfxXwhD->JRbN) z>=H!Un-Fj%`G(TmK&#`kwC-g`q~mv>mO+9~c47D9X#60{0^rGwVUQ#^3eiB0R2<~v z3Xp#%ps~&Wh6w>-2MC<3z99z&mbgN=aS$Zmv;7l_stIG&fSe6TFbq{6>cVKTt+0*o z@{{B|bckKNP1kfe6r8xtAPgdf+S>J0$m+Lc4!Ks^>nlFC1$O3d1wX*qFZ_56)kEAY z0`6T1&l>-oVB~`oCA(=!qvI)9Rc7mS7~2s_Mhc^Ev^&4^tvNe}*fd$W$6GH&h1IX+ z5mIE1GHBhUPRvwDNJ{O;!1{S>IKoiQn0UgEnpIcCpfyYa&HAj4-!w8w9Xfd5cH!to z6Dfj6ZLix6yVt?I z{^jh%n5P!;j!!?wW@p~+9aG-Fy-IwAOTPkQU9L0W;ebJS3NI_0TNVQ;5nv;9#)&t` zrLEJVj2N0Ok`D_5tRtN4Evm)Wxcw|c<)aGI@@;IpZsP8zeUejJ{$J+}s@1pJcw9K7 z(x1yYQ^(CP-iz&+=e=^-4PwU#IBfE;&PUo<-XV+}laBMIC z^Xhz}!+(1*jW4|5-Umf8Y(nHMY^OD7-K>Ohw)8D)du@QMuqx1dUm3))CUcKZiRhiz zT~`Sl@fBG;w%PVwwlud$S6l$?YRT}3hP%QN(+;}aKEFOK(@p%^$@VZbsABiIw-9}n zFI?T@zi&4R07?So+cxn`3dp3ucq1N%lJ^6o1b9^5hH#>w-=5@!u4TCeoZsjc9JV)rfV5yG;%8}qE4C-674@zh_RxV zc@9gGwaPy{c^~TT9y^nEs7gEUR?w}z<6oo#0@^=~+e|WgQng5uJRQjK91HR3)9f=JeUuI|=ztaP z|AyZPJ^G!`I@7|;OYpIN`oX4@!J{ufq+TCepB>bE6%b#E1TmaD$SXN$H6WsJ&q*_a z9yFrZhi11&A0{)_&pu(Lbv=4~sc?yuVmbb3*RzL#K>Ki&Gx_hV-kJX_9_$ZRw+SNy zbukDmG$V?~2Ws}#V%!+4n*l}C$ySRJfL7Md68$e$y}XEkOB7h{#y`JQP%Xm8C#J=! z>4v+_{o6M48bH-KJXUv3Y-+FfpiyFC9r1CqAm>n&t-)okDc}4P*5F)nb<$oJP>u38 zGIcA)co!UaeHngv(di9L>}zVdaJi$h_x5y(j8G6&vhD>(@>c5=WDV&D~brGD)J2^a$L~NTLxlCvp{@BMwo|{HK2ghS2yS~l1 z_?=w(E#_Enarp=T+zazY6&_nzVj)EN{!5WZLbzgte?3u)zOrv_I5{oIidJ zKGm$n)t7wl`PY5+z?+`+j^lj$r{>bUiu)P@sz+ zLjFP*4+ArKWR`V?xBJGPvW5 z-`|FG?oI@q>ysm$MVISj!JBUKTBxgxWxTUDa8u##HjKh}uK?r3hhEt-J>^-Njtg=U za?SV2+jOGDrWE!#-IBegPGE-t+)wB-1bjm5WDu<2D${9&{ej*y?sgHSp$@})Cz4~fyq2Dl7BKZ8zT1Wb0I&fp zm>)_C5^5Ygk*!k-iH~y48uqliNo0hd81l}Si`7oN9}zV z18{Ra0T`2^(T6yP`!0uRtZqF4p(B<~beG55W}M3pKr<{=dWMHPR0!2aMHS0k17ctC zA`7q|VGM*~*x2?g_E8@~>CE^S{9^cla;{oSzstJr$L|Y^>|X9UdZmAj-MjC}m}m7^ zCYX*8h(m!a_`>p5puNW*3IBQ!76y2;FQ^Y80BZtgZ_jIol@e!MpJInQ#p7!Pi#!MK z*to!Y7GLaRQzgw|x1V{E-ac2Tei&l#R+FF8qcu0s`1$xUAk3f7)oVdJ{EOHwKk|c{ z3%ln|_SS9nJeh8j^k~VXPD!E*BpFAlnhpIHc7CMCx$I(08)cV8|i@TpUJ`W81REdPj9AIKNKQgqvvtdpSu%8lj z8?mnljCgcR6Kr0ozvjTGqEgF}^%wYrBt^Sscwr%>12!}O=kQ{2O}~wHE{nx{1XZX^ zaYzl-f*&H7aVrfE0p7cxCzELlRWoE*xc=!y#O7Pr*Gztk7ro_Ay7%eswva9)0Fx8>=&a__L z_LNVV?U7+YyW3UP>0C&Pad%{E3T8Xg(dWwG<;qRVFW*fY_b3*Y znyK6pHh%xYv{UMY?f&ii_P;7trXVX~I2-#L2=ZD#IN`O}=1qf0K|Kv@_@vGZN?JWW4tP z;Tj3#!&=RuP8{2G0tXHrxoQ1rgoUC->jp^YxU<9LfYdIE>W3E#_N$+1c7JHx@ij-u zi;cp5fQjI|2vQtiC@Jy84PUROH)_RQf@;tAarO%K%4cX2Lf!lF+Ip2eZ_2nu5%fgD zdotjpQrvegAW>qkHxL#T#cP4xnu0Sfa=}CZB%*xh(fIr)6XDUTca%yz-1@7DE+g9yq3`Yua9^ufC-? z^_pV>{wM-VL6(bCUKt9368nyg5dC$xKDn#LWVBYtx+f!eD`~fWh}a&vLjnm2V)XKv ze_Gp;jywtpI^@MRo{~Txw-72#X=FmDPdFbavXk~)U-Du;;o?RSzrjN-E9{6_5|2VC z?N5Y{-a<002x8b~_}3B+v)H9Ey7j-|qOK%VF%q<(j1Z z7tU>xgLw9jQ(IKEK_TqmAJG6$M4{GVlsMg!j}EaWoOD#J zDFNN~l6RF=A69xeX3_cV*xb~#HxpU7-1|TG|oPYv3S`ZtWHiqG7<_8 zYDUvy&*6_-Zg25%(oLqmy!-ld%&Rk^3Fp4${L7q*|G}8Ta&`aFu)TyEAn~H`n{lI+ zAg`SK6$B5}ybkiB3VIB%+m$#@x*6*SlL&tVV{X{5!;5^lM4tawWArcY3Q+(prx6)=oP7=ixRsxj}4Soa=n|5()QvgB#HHLFUY#m4#e+{4G z;Qu8%@#~ubcNfCV#C<)+Y~_ji0-8V*KQm3>;f}!RTP}HUg-qsfpTezUs?`d-S&?|kmm<&A~`;D8Rnc@`@!`M=uqe|axYX^yQ2 zL@{oU;W?W?r{}!$3ij}y9s0k%lkxKo{%TUp{?(lS^E>}Pu-8BIjr=;lKSr{gbj7(u zC-|>NY=JPS1~N(vGx`_K7BV9da%?_@Yuw9JIMF}H8*%lmbE_a_)+!HO0_h}KA@A(K z#up3grgjxX-8p|&Z{~YWGhK5(ZMO}=CUy5kRkikunG-7PE5@_`X#M{iCw%%}>y7aF zj}15L=4ml;(O4K{Yt8IW!kD?`e62D{AXQZsw$%!xj+?IWZLdQ> zUd$BMDd-#98Xd-Jgd&*>4T<^oAAl-Ggo}uhN=4?Wa{TFR>6hf>_lmiWLp{<}Yb$3f zD`S>2l^mmzv~Cg@*2oXIG1~~OIyuZmNU#V^qFjCSXcDW$)Q`U0&Q>T%D&3JLJS%^I zFW5%m4(*P_E9oz|^~O551_fhLG@U{ZY3PL1#G^54bmyHTi{uTE2TdrZP^)mDDb zaqzX=#gM~iZ=AiWB)rnuRzz_&`HaG208B!C7;1)oOjiGj}ZXcQiO5D}Z_{I&B z`q>f(@9!PyG(2?}mGN;T^G))O+!P-WsRn*Zi2JSvRD^(}Z$B*$UjdK9iQ_ITb{U!# zP8L1$&iI%qbH=1v+DzfE?7_is-kT>cQ60Y{wEBenh zSFMk3PKyD(&7u=TT;7nA-vaFht@y-kl}wqy{8i6af+$~czFs)mRo*bXY-u{uhdl!~ zeUAbKg`ZV<3YM}e@@Ej)@X!L6p_4iJyf+wEf&L)21-6Y`B0fXmRs$X&6+$rPS{yIg-5ZoQ-T!)DGrFGz!tDrK&M~N*s)XIbYYv#g z>V_Nnx-*Rnz{-RT6s0R%NVdIS9#?Ja={r;3vUdejZ=}py`w-yHSS5h`Bd$Oe4Lp6O ze;#pS*_cF};0g2x=Ua?;8*hrVtBE&#ab@gkZG>Zu@BTgIM=tr)fxo~5TY4AW&ZAM6 z11gH;;G@NavNN8_`1+6fXRV^Gp4eX#%HxFhXJPwrz_&)gmEaz88!$TQxi)M*PR{K(W9q}QN|OmHD({1=zFoS8C>G@zNlSKhA$>Bcx7t=9V6ijP>|f= zB<+p&C(a~T`_H`4O&f7EuH-%ezGw)$754#OfScG{j(tM_ZA#*}X|rzJV$!bfWn8c+s7k|UG6nFm9tFg%cKX+?~z_kbg!ZChb@M&}< zC{;ITTYf|~Ao~-C3TUty14hb8hRn4Z1G<4lJ3@l;)O9!hI zS)uG}Y{Uva<S`^|4_&CUkCKHORRlDOpb9YadoZ<8+VE_;(c`f&d#tE&Sqp55>3 z$$ig7{0~5qTCIQX-ZK7=VC?@OgZ~1Ie-{OU+cGrAJ88kX0!lk++%y2JT6gxtG z4r}aO?}L=^E&c*oF=ZO%&&bG&$GKIUTG}Ko-BD$kN8P4f5}k4JQvL4SxPlE=h3K!_9NYqynEr)od%4BP&-dzi2%>SLSa=OSJ~G)Ttuy(NRQGA zCa$sbhQpbR)YjX1X8E31FRu^Qf>kFRTtD;byRBLVrx_9)ox4t8oI-u*Z|TDJ5h}lM z)aPRB#G#R*N#ur2ohQ4CI0%{_wzWy}^+nc_&f$JDuA-kGO{C~9xhn^@yD;K7)B@wxG-45wwm9LHh1j&M28n(Dl|7eNx+zCfb{pWXLBPXe=zz^@>do)E}gH^PbQ@%YWgHOFl8p zVz2_(*I2Etb4*wiZ$0MVd)=wWBR;r1^p!@myVLE|%ZCfK*N(D?Z^5)q-dlK??M-lM zpWsU7u49f$lbUA4zKp^XE>|+Ok}iMs*EDqV%5$7(Y@sh|3zDs?XO%Sz6KhW7sO$p= zujET36;CZA&*%U-P9t#40x?DmDYCdPK%YLm4V|J8$+@~4WAMZ~`Ku2+_F-9=f<=yk z%KQNT>Lbdgn)jUV=1jgoeqVyU6k?g41v-(SJ)~ZlXEs7*ydi)XT!DHWFzhKHgdYo@ z$4%$4Px0E|0Q#UpThP#g0wvq=^XhPG$#<@)7QO2g5%*^JhCKpM@noQdIt5eq9nGU@ko2oF` zej`QYrMn$FdZ)(Mmkgaav^59`c;tp7byB<@IOC+EI1Byba+;3}gwUkr8UmWMnl2zCR{UD~xysGl&|~Zt{4*Nv%P{s6Y(UPI`=ghI5C0v8 z#++qpaU@eli7i9{Y$sfTBf;pmWa64ug{j4qhjI+^aw=*I#dZ6&XMaE#y-G6cs){TtlG8TOh?Irnl52YaJ-+5x%FSGW2;y zz_gUBVC$ad;74? zv8+q7C6ktb$&GLZsYLN|&|OTLsoK_E?h|fltnEo1V4u6GX7_|KUP!JUyJRb@&Z*Js zHyq7a>G+060#TdSKN1XGwGa$g1Oqrv-)X6_GY0wG3?#4|Fcy#%BaimE`T?~)KruVt zmF8$7MHHAnv_qgtynVOz)+G~5ZeBTcsQMJ)DExU$qVYyAiEU1}#v{gRkn5RV2b=A1 z<>{6d)=)cNX!X+E+tUh{f|yI34HWYq`=tfS;ps~bAhX?|2084bN^r@R6^t7tbz9tc zL%mUT&h6f72Fza$x8FUvt?@po!|eSf^1>`UP<$FF+gt~s$2Bt!9?+%{uh0|SUn*X#7qUrsVE8iVfl2v8n0XJ}MNZE<;L;dJ z%799G0LmCal%?GJO&rjlNh$O&q`)M39ah%S$M%&=>#-MImp@g#uzH`oEps^Rn%74) z$bhW?sW<=;{M~>J5}n}0D?jtR8cZHkZMmX$H!>`2T?S{Io9%1J&jw(*L742d-h)+H zT8@aT+C*km$&S=;v&sH=AV7Q(I>a{Stf>OA@QkZ%N&4yjI=RgFB3ZA#5~rG{ z@0^dMZ#$bBk@$Rim$0U|5|IrWvGAkR8ytxuAlNU-IA&hVF@49`SF9Farx5>evwZ5b z4Z%BddZA&V=^}Mp??_}Kb4+aK9^QIg!!Vvu-}K1Ep$FAUgf zU`Q|JA2)rwR`6~D^F;>GpAk`~BiHiULU5~s@lmicd_yh56e55-)W}=Slu$!1-gfNCeV@Us? zOIeOdkWWB}M&Cn$bnC;DR$un6g57U(wz_A+H!c1;Te7cC4a(%Ll?3gb3ojUIv7p$* zhEQP^MnANh72tHJaFWGR-=7$jD1dd^byikC?XLCyl^x0y7vBi~(0Ycs?xRGH zu`FlL%lAd?!i%qToe#_^t1ppEB`>vNlGG_=lqdn%VHaIUhOq#g#Rwy1h9G0C*-TUC znl)vwj+-?)_+f(7U!;4fp7HM%ByXUqWZQxQUCJ`N&FBh4^U+9J=b+GU{Vn&{W?l|G zt=mfnIabd!-XuRGX1VGfBf588Up+LFwB?cZqjZimoOe=-1^h=@Hb`4pb$GAjC=^3l zVFM)k`;k;aB-tGWlC!L^^7k|4!By`$u48jCD7||@mo0V;4%s=JNYOm5Q-JqiO0%xx;RvW(` zw(V)Mv6YDvdi%9N7I)tQc?lB+1v92taf~aVSrnZ^cYmHU?7e&-ZJFA@(@3%CQ!cwz z;}U4@Kc#Kz7&yx=Jd@wKtxlMmN*>LoO2ED6AhinWG?8h-N@gk}0CSdH`vT0k+S}oy zIL_HrC0HMSqWYeKZ%DgTVz@hHSMlxh_J@nbSGuuX51@G3(lt=$HiY~D8|$CuGUCS0 zFbR|)q7(-R7RB%s%{=@rvr^WgE>C41aL?^Nu-s!#x*hVbh+mfYtc zLnuCg7!#VFVO*Kiih?oX>f(zb9~#}R@}W}Ed86J4v`5;gx@nhyAab4dF}eDA*@%!|SRF#yO6SZ7Mha9*2 ztIF)Y{f5~nA$L(@lKR|(lMA+Q5Xhq;Z{U_MRh<-}zdmUOZaqtZjyKbku&Z5T;9`IF1UaWrjvzzdTIvu+>T)G6}|$OZh>*i*(aG6Gg-m&3Xj=sD9n}2D9?6ZN^mT}(f)!R*!SuL}#plV6^rm>xH~Tr9&2Z=E$G zb8n~O-WkFfYXLZGrnU9$VVNd(}q%ssw`saIXL``DJ7O;`>)Z zWtRZH{uyfj&z&zq$ri7+0Ut_s(+D6g$|jI94vO zufGl!7L&NB05_4GpG?z~25!Zb?q zjCXmj>*epNpAhUL|7g45-DJa|Df_OvHRyxg^F0lN_xsYX)XA17*|}Mm+dIp-3fgU0 zyXBL_Z8IRXX~64Trh*ea>g-_;$&F4`x08juQk+Ld&=xEf)RYU&0r^?hnY$_NbDzZL@6T&6bNpKEvfxQ6tbpXynMK(}H7Y%Ab zb=pzrI!#Wsx5moD!{1-Cqr9(3${|SFTsfx0B2s-<+1mHbUQiDm-!Ow3%LB^mj$q1A zDr4a=5IP{N`iSna$H}0TK2E|#ylme6=5WC8;hufX?Zd-n{!$k5PhLM(tt>=+1R7&x zcYGAGa&EevJ|{GVtkAlN5%?$?XK9Msh*oYDzfdLi(6bl0r7>29{m0>k~+{C&}fUro$QLT;-;#7tq-qlrCC#?Ufr+s9ZPBBdAtCSI&Hy6&f!EKYiofUZlZpV8^ ztwc0*Ua#YOhdD;rfKd;A3XLDe7y;PO#A2m6P;?Jl1^VBMQ%yE)-<>X6y|zu+-Yre` z@k+NAZOf75Z_O6wmhcpzC163yanqKJ&PJG|@kWd}nPGGahb8Wso&UJQ-LYLJ zO#_^vH1#MqbK&5IPAjD43ce(hSAP{gJ;Y!)$^)B(ii9h2449(LA%o+s@pU_(c*=5= zKFq(b!u)Zlf9?juo4&;tJRe+pzEiN!Q#7_6_F%`q?AxLLh2{IpD?2 z`Y?hF5+y_NQ{7(D4U1Z36H;X=T`%4DRJo_H_1Tj;2~Ulp!_`)>o-QEb{54BoQ>dpP zw%~jClFf0#QSR8Mz(SH{x~%)D%jezJ8Kv(ktttpp51#z{Hu5U@-^X@&?hj$(|LdG0 z7+C(3ldg{Y-?4lD8=O<{g2xQ$$AO53dx~FM){m~+1O-`^^%-7xH`$kgjX|xmeI8Ck zIH&B|vQbm9MOGr_{BZw3@H}~D>32RgRki`{1B1G3|HL*m>pX+e{&-9P=xE{$5x2+g zlQeTF!KxyA5ZOu3cA^|I!VNsbVtz#*znXS{gu&(xH`bl#;S~@OJ5pnuvrPsH7cQJEY<8u6bOSi&T;t$kR63itS z{s+q3*ZdsA+qSl6hVy;_PD|2KaGwnTi4O3O4lY_ap(#VVoK_9p@?!W4nHGf&w6o6jPCx7| z2O}-{vp>>R(}1)~MT$x+Wmnq~^p=RV`@X*%Rrf;xT*~muCNny%yW7x_=8zd(OAtA+ zR{uoRhu-4F^fHkHItpduQIpQs_*HBthz(k6eX{u=7!9_{=d`l7gIe@%UG__z+7pZ+ zGlk6w{t9;%TRc}XKNi27^tvnD{F*~F*uWes9*A~4>-@1NK{Q+(S@LvaYm?5|7D2y#(PMhXhkbZ}Blm8G?A_tmC_~+_Q4U8_u4X9azL7tX z9NIa~&Cb6|dPKBJ#?3Gz`(sN0V7acK@KfDR8jI>XF+wkBCrzucOj{B}mQxlp1> zY0ru2ai)anxGwlpRqkVq857Cc-;Y&-WEzZ(AbTR@zjT^u7LD2Jdu#HlYVWPd4INU} zFzsF^GoSGDyX2f&TyOW8u6tm>iej|nJ;XKm;XJf%F5kg1cl6b5gvKZ~Iw|u{o)Ghp zyPZJ6X4<>qgV&R722Hvw1C`crvoJdB(;%;7h4UqfVNLe5*Uu*2vo_*vE6Q1qWh_W!t!#n618WHxpGbRny&2-5}ykH`{4PJ1@ zSw+XuL}CMOofF!}8WMCR4o@r@!yTu0}`A+08dY{J;c_Vqf=5>PwcxRx&Sq9W$)-e#$c+!@MXw9idDS$Ulo z1s;K0T>uvEuP3kK=rT3)#}ZY%^_O{Nu0F0$rv^V4?3)>`Olvuf@>NN_X_w>m`CR-p z7cWJULD|YHunL6hqkvW3!$5JHaEoKXF0>y$?C00)+>rC?4|yPvnAoxK!U71T3USc@ zFFv6Ip=BTkx{}dy^(tmpdh!28hBXMg4>|xICmc#0D=XNWF`Gth!hZ+@wLCFVb&}{M8X|fz z_tvW_kCbq6BT(`)Y6Ae z!gG9xQ!?`UQCq5BmzQq3LV9i)j?=ziC7y+nZ(fiyZ(F~}1y&NXkNXrW$I*svv*Dcm zAVWZqwR}2+#IlcuC==4e*Tv0-U4$4C9Ln#cQ4$i zH7M3Vzz3o0Am%C|L)ygO`F0s!>oo-MLZIS3cE1VR(mMlI?}Lwhr(JGrkgXy2Ez0fG zGx{_S(tawUaOE&#?Pe=x*q+rngQWJ1|*UvgO&2gW$K+LP8d)tIP1Q`@{u6> zgD!;p_Qy`SEf3)-!K`rWciT6sliRc}{${jvnw!Wupg%Jcz&7xtuH*0vUB^>4G4~bc z1aGR<%TpYv)w}6E6dZMPZ1ahWB9E`Rio9G{)sYQaH?%k+NKR}Ras&KJ9{|{E04pGvd}k3K51!RV=b z(DOSbdvEO0`37bYYGGRl>o9x$M)3gcN@3;DIMY%p%Si1=zwVTyr~ZK}15ziSy>xfq zzd221-VzJ=m4>~T5QZe{DVNC8<59?9WG$IS6^AIa7Shw#qgiH@s=hLmAALlm)vl(i z7&R6b_Wj`P|MXf|6&Q5|eZj zbGpdq^bi!rcA+0D6bNvnHoD(S?&i5CRL$5ud@In_8{|Q52VD=VK>)K&slQ45`!_&8 zHl*UdTP=~Bjcj?sBh0r;roDA~lW@Tr*8tj3X9a{EYd-BIA32e}8M{1EEP5AtePO#e zfA+5a=1v)GJ+)jY@)H!s9BTrF*@k`(EVL~&W9U;O>egkU8^)a|mz+iUU+sT2gA~LL z!PnGjVcS4jklG3xdSW|DGAiQ>o9SNrU=o8A>8jU3DmM$w6ra`1?MVV`urr8AbdK|Y%p1Z205O;?DEJ6q=Ej+Y09 zE*CWg)>CU@+oKFP&++%qeeT4irSk-}ct?zgv9N_HkaYMl%5gsD>&WQ_7~^;m=p>eg za0O`Os9;Ovs3Wx!t!|Rme?;%<`c`;tS)_tSrrLo7t^G#771hGQ`H4VJz~$yZ!fiy$ z4$?<4`Ooxpw^}os^sib^_S?LAXd|cD@P`8M4LHgRxU2ZGGV*(XH=J`Da74rpLpmXc<4>Q?YqqZoV6^h`g!^YmE(E!W0sefch;5Gbtj+3Pd^ZWY+1!n5DgzmW}HD?!Z)PYTK?|Wvc1+9v$S&jKau=MKN+Yhjnd5R5eSzH$g zD%<0M+xZlCpo}^W_UAgdT(`x2=t7)j@JXX>WX{ulpnfU>1!fqCa_pJXoehq2QWmP^ zDd-!s;oB_+T!wFuLhjuR@r;X9*mwfhXp_ZUje^v)n(-2^$6z-H@ePCx-V0u$xrk>| zGFQ(wzo|ms{y8?bEQ+9WNEcGKkdC468-VP?Fdt!$Nx}H|55{zi#SV$Z9P7UEQY_S zH0YD)(E<|TNZzYT3SD+<&$;)8-ydH(N%!w^l}P)Z5HI`Jzjz6$1g2`=sN02JJw-EX znp4E=V8Wt_MQI-wC|76mpE!R&h>ZE7Q0ltAIsAOZYlLzGsRD-Tzz31J8Q%=DP@{sR z2DlLQqeD?e-$NR^NOO?x7`&x$&6#tbRkuheUD^3n5aTi0Da#RJfWD9=dg}}c=#n-q z2SR0|)L27v+KkU}MtXcj&|{yas*?};*37rryN9}#CZAu>5%O#bBxL%FKLm^*p#dg> zeUDpPw+cN40K|2};K!g#(WRoub9wHXN8dELlw9_(Jab0t^CZbD$nD_BGnM)#8^n$a z2>m4wy)aHWnXwZ$zjX%l8>r#1LvrM7fsPi;0&yPvls8pSbRov+Who@B7RNc7R~r*+ zh)}t@w>Q|p);SRs5Qq!aJ&LtXYCbk5Td49w!c5>gzENJE@|7pU>nM1D4ms^-L0R6? zWoW#6vAxf)BM2qdaq9$P`;k>Qzw84~yP6CVXwmXijuZ?GCA4RHjDCp4KRFoPF)c38W%s1(^ed8ywZMr1oa|5C($OV*ah>da+;9nDQPzzGl6Df-|He;wY)gA0Af9@u9Q_G`AQ!PUBMQu&c zi57(N<>WnyH=V#(trTZeJa!we>El7hVE}KD&4?IVtfEA#q^DW)CNEFsmc~Zr?uSZS z_82}9T+1iDzYq_F2u*{%J>v5_pQeTx=;_!2*yu~x7TBUGd7j>j`@SvdKRCj>%7T7jjyaaE7-WFVYi);+zCEgEKUJWnDu=IFbMKeVI_|Dh#?2ucI~{7@@A_g`Av7vQ-v zfA9^oA3=Jw8{iu@=kVlF|KLBO0RJJKhT{aj!2QoGg#jM&A_FQXN%9AkV`C4foHjV^ z$v^r$_9OT~#9I`tR z7!yCOfufuRQs?%517)X#myHPt8Ixq%Fzk5@SAxiSQ32x}BdT-raTfr|K;hx_)6bUSK82sxd+~l7rh%_8E~06qj(zJdMVB!I{%}A0s}L_ z!czlIyMM~cTmLme|0eV++JiBAaG1d3{w+E1?=bJAj9?c0ah2g&epaY;=mcL6b#? zyW(G>)$j(8%+vozwNxV-#Qh@eaNYs4Uw;$YV@9979{^EZ@ zsbhx%t;a{c_VY^*zin%xzll;wDtk}1HDvegkUdOQBWxAu`b)oJ)`nhp% zcc8^krgpP#E5-=&;1UYGekg<}eqnV?*CFqP2_WVzbau8Gh#hJPJkU^V*ka$$3in6% zjE|?z>~!f1AyvPmGc```#~esFJ3+f+lzP(N{(a#1r;yUi-TwU*gSI2tBtR&3!OD1~ zAAF)|SKR^V;OzVy;1l)I((2U8lkIcE%+Fd$UsS!D%*S^z<@ygk@d&naS?wQuqJlm2 zWpoNu_zQX68X0s(XLlbspQ^FV#?0oH^tnR<61Pm(2T&Ek^w0tI2C@Lg6~rCuIcjXZ zoLsc6RZYnY-Uu1D%d_b5*TL{z^ly(9)Y72bYPZ;A8P6^BfA*|2ong*k9 z_HpcN;WFi(2c(Sf~C%}XemkMp`nq-{ejim&kmO!Ub~=}>wH~h`aeFDRr}|l zGC!t)%CN9A-aScBq;+H0XeE4m`6$zlx!+HDhSYN;XmfXaR`>B2vbReq{6cYGfwX%y zkn?)03t=@ezd>$vpK#5wnN51~bFseuMXqoAybhPGH9Zx6jQ#E)6W*>gr^R(7VnQf!l`3 zYd@V|$UZ!SE^EMv;ygt0fP-qGR>;)Dgb*~XB%WH2p;{0u`kP|l$EiknR=#(?JO;6Q zFrnb-Q2FiG-t)0V$Db!TSKGDZ{UrbnKzEL*O$Rd-8mb5sGK^yn`4xSY?;~j3AU>L` z+fwqPqP8Mc#9ZLHL29y|^_hazYgHs%LYZnb1ZSiAm_~7o8<=QAo*tvW!t4do&5*a2 zq?f$l@`RqmHRbY3$%4=gPx&RDNV#5j2>}ckC#=RGY7^sOc+qpa%D$nN0L>Gn?pqShU@RIv-MlSHX`p4 zNJ2M^b$PFGA}BCB!b1Fm87+FQo-8&@38usNCylk3n~nD$R2Wv-#=WR7>LD=h?5>AW z(DfX0I6T>AywHsU6K|etR^$%(Y=Q~NHiY=697ZC0@7!@)r@g-AP{UWx|D55U@*?k6 z0Av8|{(=pQVZX!@@IO1lod0sJ8~)^5@hTuLevCN}CaDXta9xY2RTyi==a-=}34WiG zdye&M%(@+m&K*owR{*_XR`*?Z3k4tnwEgu?zlMYMwgDX$77}NeS%4~dJRi=@Ti#u)spgN*)}y`%UKowPX$P@rX!k~lgAQ-fFX=?A{GvyT<&vPk9<=SekD7V7)j z?(b{bYOQy`eMe$ETb!fCO@n(9Vt-U1c!0SPWu}B2j0v=LOf+1kY33oi;B3mt_Zr1B zHuIEIq>WCYw{AXgtrF6_a8dcqr9*$Y#YFPoTOwj+ogtVVxtgQOOaah^8jUM;$qNEJ z;FR~wQ;2u$TcX8LMycJ9%GY$d0<_NWvQx9L_EXJ-J*}%>B0nh8fGQ8$#+l>9&`QF& zSF0j13RT#@<&Ux*yI zXE?CkCS^(Q{6OV)^9vHIME0}&L|Hfnb(+NJWPO7OY<&nzq2)FCou-g|-qHGl-Fi7X zxjsvK9KF(eMlwI&7*Cy@PHa+NcX(g6bMmost6l%=;Qn;Es{tndTepLlT4%(21ur8; zkbUQ_A%!_QjD_isFlJ%h4yElqU?5yEb>>me3Hupd$eo%n6;<+;_UfFA0WRijS8NAX zflI)O^ZJxj7-}(#of4Dsup43z85w?BP0ZTP2;!5jZAsJo?DC^L~Ws~A8Xht#Yk=52Eop5Wl;Fo)>Z_#D@!RWUJB z=We!bU*m!H4SN#8fST)gLZQ*`s zl?JG(;>+|sHXNe`jWAprl>`|=A1=>rLO&e z>q1}Fl*L?2uShg-F*tx6OC;gLIrzI{^7lRGg}L6@iYD3Vl!J-XK}x!rrFxLV@=TcX z*YK5m%nJDX*E0<=oIjzat4@E&NfQu%&Vb2n_11?f1k8+SgSd$k9cq^FTAzEAZrXQw44bxoM{1EE zK=gYKUpyP6G?RNrPg@7M3pzderNM#$J^GW`H~T9DBOC-8SlSj^5}B)~nyI4HGvODEE|@Dc zrD0EG-1pvObZB$|lUH;0?Aez)+)q8@za|(0{{?-fGQZ4Jk7^Bwv(7{DU}ym{0_R>3 z?sFPSWFikS`ba^+bW6mmE?xF_52R7V$ZGdHj!r7-OF>e_0}{TtM?Z&@e`R7u5lfmF#z#$EOr}4C)2F!F)795Ilf76uV%Vx)l7uN>CJI|E~<3> z*n%yzV+BZY-VR<1Ok`1?L8Xx6;bM!K2Z*ZGFOzzjSm%rV-TbnfIAM@0dlzOOr1<3Z7!Yw7?0@buxy;MgD8@gYxYepUGJLD`3f`bR zeN&0q26Tf?S$fk^1sNK(zVid68M_y1U`UQ>MHXU!+-{`I!IKZ^;?kZURjMP}7LL?J z&QvZnXnEXs$SIUbD>MCkIQs~G^MfkwzxE~pf6tp>{drwTLCn@X%zo%0`!GklqM~cD z-PxpmVwAuy`dU+~JWH^~423H68N9I+LJF%kFHY6SJwS?hebFuM%Dt^ij<^p?qh~=% zxMgm1UtVK>N_`q^b@kE%N# zg8#4m@{a+Me*iCW?!_dKXBELrYz2oUkriGX?ZADq1xgg44c&fW*zw1w!+AA;gzE`3 zHsVGPcCz*YYs2KdCkq)HI+;Co#&-FDBPNU4(pRxl;1U!ky1)2BO-Y2!7Ne$(&U_lJ zb9$z8iPh#{>~9%8y#*$SYj7pI;;!-dp*eautP#E`CP@X9qFTaFTM2&cT0|F5-(6$P zSaatEPUF@wsmQmM;nK{MCNM*fI;hr&V?dCz&zeOvDFob$ckpKrWBbPQy;v$NOQ zbIp0pd0khyg^1Vc%jW57n~x!f4vmuDQxoQhVL+U$ly21QPzf9W6K--v2g{igg`cvd zxo!Om2GZTW#&^6ub#*G3ZaL#O$lPQKC~+w(-v*IUYO?Merfw!aap+&Yk3q`^(7RX!_B3G&lyx>%H|yZsR-CZ0hASB!j+aEpLIL~x&+E>TbixW|hf-3W z*%jMSq6RlyxEltrtI6Me0lYS@q5Gtn412@yba7&1sQbekcGId*ge8w{4_@pGh(70k z1fhfmR2+(a(noF%CynKUp7vOTk_pYCvY%F61QH#Mp|c(cxw|eLpzims%9jWXJyOj%>bo6D=>TjP2(xSYO_Gc01qI9cKR#2t@xH z2f&%`W0ZFeuqFk#4TmpDXf)x)>4vcnK4P$eyH;$+>$XEP^rreL35*6E?aZ(&fwEgG zWpqEvE1t|d)1_2fR=HzbKWMyYb4z)Sibs;&U85(*F&52JtC8e5XZ_m#uW(tmJSWWn zovGe#w0GO|Df(iBd$3Vpt4g@KpZczW%VL*#K5Cw#m^Cdzs^98yislR>a=W;A&hfhRr(yZq9cuhX>+n1mRN3Mh|`QQYR^B?OJaGwsM zQI>4Gw>4r6vja7d991;Zc4hB}+NVe6L?eu?)YI}p((J82RHpFTPYc?cB?oeX33iIB!j8<?MEacKHf2iEwH}_0kmQu!6AGId^XR*}*>eq_9 zO{l-!W=f!N1rtt?`Y>Ap$*iVd%T*h0U5o%{IV$)eMjiD2Lki$ug7WjFKec{s{LYhO zZ+B*5ylFRYPR@Yo+1PD%oO?KzDR9CyC=$sJK|@-cy$(tRhAsRQBuym8OWt51t{`l`!`y%sITuCIt8x}KX+CuYSOaX^5JFO!uLLTm4=D-TE9hn) zBzVqwXtyVCU*5zFay3`bja58f zfSo}olXZ@*QGK@+%k!2Ecc;+!ZKKsn6Rcj=;Jbrzs(f@a39@H5hppT5mGJ0yfXd2{ z3>Ry*Xu=@?e$fFW9W(~g#!s9<{@OSAwHILAL)KvzGJ^%jSIkNP4e%3hEB5Fq&jLH>7u0hj|==APG_kI3>R!pgb`E}?Xk=jDL{(&B}|_9-R=A)baYdrK~D7VmE^x)>?;SsGXGNM{03zI z{j2`+F=!h9J8j=Bzg=!x%xNj^*`xXQaX!wd7gcGZ}?c=E93PV zU3%?lN_MR^3g52X!=)qK`%nM7%N_8aJ1u+auUk#C1LtK$B2aqf+b9!zkm6AGzDkBh z)Pi$I1L;sL!8F%2-oNQxq_Z#41K8rF%(S8W z8gtg+Ku2Z>6#8s-=;@dhkx?5Tk!Oh(IN!Qu@}tpaX|;;yysGKH+rxn|(52}nSP3_e zuE`Z(QDK5?Uj`xCI2gcfGPE@TkJu&^eeMG;gO;7c--H5WUs_09W->+(it4qviQZ$8 z?ak7#9VkiM#jQm0D};6t!)G4;2r|(@@C2T+9Qx9Qq{bBtIKz6WgZ?P>CAdzn^t6_< z?!}ve>l(&Qc@RC2iUwOEnCaHLh%sUrz5&YcO#JgRF`0+j8u-on&b_*?)2kYVE_Q0X zVYpp`SE|~Z0o1lj7+zkH3P17tJ&hoboW8kZM=!L2LqQ8m2e1d>eS93ux~RG>QNp5x#ZwLaJT z>d=CN%+04!?@c2j)jtSTZpK9;`HYQNAfdQ`bF(yK>h>i>=zr&lCK<+3p$Q5$5 z=j5H@GliMy1zoT1%4QjjQevIFMODt^Uwo%ac+OU%5=JEI_pGg@Sn)!+6zRkqD9^fP zfNhoQ`6@hBSiY7v#SS?$-Wn?% zvx{Zi=17gVUUFW z63Cp5SRrhGNM#y6s@amIK#yoe3VwPO*E53XIrkI_Ck5q<;VyNRi*@XjvXAHIks!VF zH9jV9@9p=L@J1(Z*`9pG#xvzK1>@)9Eb_|WX9Mlw$4GaM1i&wK;_}(PbpM?9xuIpRFVS>rtUMKq+EWrWRq_rC z76FFFYn8PL`4nOqp}XMC1a3Rd%N0LoW>^_k8%O9;K;Z|N=?#nluEgNQVcdRvvo?>g|gOTg$y8*xH)m*$p7nt(snAPkQCi zSB#1FGl6|9v*G-U3;tCp22mGYr3;9g-#_$7uk+Y={O!7q*)ZuMNE2dHc?Pv_PFcI8BE*f_?Xi&kR>fXbIpPGcdL@Ugv_3)< zAPT|J@3dP|ln;+^wdVp`2f=Eh0r@iG8%FdcjS=0ad*&@5TV!s4*F zf}^94#7LW>?lVE~M)JJi;aOGBEBT*C;9rxi#gG5WDtWVXs@IwPONWo!AG#7-q}1|* zJo#&+vr&+Uu&>xum1kh}g3DOiZR4717Q18XtGA`$$~|fJqt>;VEB^m>##W2^kMcPr z;IEK|n<4E4>l6mTxo@oE8cf}bGf8MhY^n+t<)4-R7P+zi9I;xcD%~+Eenk5*YSMD2 z?28*>s>#%7D+NxNEz<&QUMYqZRb-fkq*%#7caIZ65gr7+Os{?6X%&36bX(hpe1cMD zdA{`HT?J`x!bP{HrRBI^nx0MwCz4ZPW$&5z7ude*{Ppli+dW714(6N*qz)e#d{Pqk zS|`!qt*?BswW`jlZ9Dqz)+@^b49$VP1@bS%z#vD;;thm6JvFKlG|0^<-mCi$l!CDW zM&uN2=i9L8klq^+*DFr*1pc-f%5dJp$>vHxZPPdq@m=2c)p$PZVo20~%Tn*hIFV~%E`MBFm z(G;Y7&SSOKqLs{IVogPDnq)}H3dy~B*edPm=iaC8cghkLxjPu{^J)yXCAot7hh8-$NJu0r5QCjA^e}BB1#d)+*v$NV8XN^dxI5~(1_zPV`jRy z!00di;*__XakI!P2tY+k@ehHb_t9pV+O@8R9sC;1A;Ul{jP?q1RP zLhp)8Yi{h?Tdz-BkAgH(!)u)Q(@wpt4VQ1q9n)SQ(g6mNy%WI#7uuUNWMT;uGzx zIFSDZCtF4;pTrkBc1hhsq5H=$o$&|Iw|!GKo|9!7ymz;YHC~$C(q$OvkLriXTF*#-N|gdc{2TQr3<+IFMT=*x9~0IF6<)Hxb^q z-7f1xbqJgp!AU9Gt2cJA7htxlySuyjZuRvIHxKEy@Ev|+EoQS17%lOv<>3+hU8&~4 z$t=KmI3h#$C{@zz^8)v?sH;ukY}EiPZ&_8Sd6Ly`HnB9PU;hQ4vz_-$s_>yzJeUbE z616Y=NBAU;R9#3uT}j(=E&QT8cWdTFoE|?_^W);LRrqIol(QUoh>pPi<$|*@)BvD@ z8wkzeO@4v?1aXo_>bEN;&#Yb3FL$rAKEBSFhu`aWcNWKmju)7P-ch`7tX^A>kXII7Dt^MewKd)**S;XV?8LSvvnC?yksLGlP96~l!OYbmY z1T-<}woN_4Ue^ty^dtR6jE)n-g=)>#?GrvgC117Yc7x>w8z}RAlbul4zONTyuyabwP2f)Q{d!3v8r`;vCLZ zfC3oql*zm92Jb2ZbV-3(od#W<1+N^V9<)1nX4bhUcNk^a-Thsp?Z65AFyb5KCF?{H zAT-&1K9@e$a6KTJmNeF~2X~t-lso$tz5T`O7^ObP#+b`D-O~2ImR+S8AL~01$V)M7 zvIs_ZZyYs8sZcmDw2o#@qtJS`V~g#rF;zz6ngpYC_P zyP|gDJ6qEq=0klaW-g}!Ddq6o3ymmXYr}k2cBRmG^Pa+hdJW5Z@e7QjlWAQesd5`rF{<$Nmj83v}MdV#eeDWemuTvvr(&G8y z?#6Ljw#0lB3xtmbKTv@YZsHXeH}~mq5obOk3?Pf=pN^?mi90kX^*K9?y&e(o@KNi_ zy@R-1{CY(5v+ej)IkIK1OCwGYV^1dBmj7CYmx8m`6il)abar6Mr%z0wtqyVrHtH_j z<{pugy*Q=nacow~j@#Z2Txme_5WJyxa4*hi0)vv9W z=u;g&d)opL1B-);j9)D%3AiSF0f91LG@9ZgT&| zu#EGs-!Fs@XfK8D;$sZet%5RK03`}fzc|&nm_X#|O`VpBm^apZ25B~vu7(d=H6I%E z)>>q~o~lh+`n0^bDa}#cWJd&_Z80RnyuiV8b-=?3|L`SOoEMoOAHQ{N#H-@E)VHuQJD+mN zxG${T81KN639SgR`)?;)o0KJQT)l4l06U5VZyA_jEJ4l_K|L6QyG0L7nWo^wbjpJl zMLe_g>R3k;0muO@QvGfA_z>iaF>vlEKbIFU%R;$=%L;C&<>$aP)=4*GMV5&$b5%JjRk-avpxm#dB=aEk0+4GZzhVa*w z(d2*F5X-hye6!U^&uIw7+UiAIQ@6&$S!NKtj&cP(5nl_T^rj3`SDm}wSEwdmZgwRu+Yxe(B--@u0{TZI!kg z4aO}ZuT|YQCp7!qLh+Ol#(3-TbgP6_n630?E^-(P`-I)eKt+G$ABxX>>M32RYv1(V zPUo3wiv5E7X`YEy@=Yq4Ey?^o;6P3XT-IQwJ8157K>lDpgTFAB+0Ka@w&7%BHi6&6 zAT-MYs8SdMvT@_9@HoO;me$)txnQn9KJE5rM^qED!!YiAGUiK~j>^dBq~h7FoaAKC z6#*S^-S0dbzw?}aY0JH_1xJ2?V@FLROJ*8+ZUAr=ABo-0?E>Aeb;fWCE(XPiL9dOY zqEqk=#J+MNg=$wY;l9N?JXg3_yQTWG(6J91(FdnCZfo=53gGC5Om9vl?i`*E+mDw3 zqpX=KM}}(-`|A%})Q4^GYV0;FAJmy|h_$%3z^nbLc)Tsez>&MIl-@?g#bPzMy*SVX zj`}>VhkaYOqt7bzebw6x3vaU~l3I-2$S1Vhe4j(pRn?TkF3DL|o6flhz-wO-A;TH& z2^gKgt*Zf0=5ys-Gp3C#&{qIY=tdhmlyj1TTH$#FR`NNZG-?3&^Y2t}GqzDEbNhFm z#|GbdQl+zjr-#&nGaFw4wQu3z>FlWj^*r+{<4MlKyVN0T4Ey8dgS4VIKa{&WA3s84{`naEYnzk=b z{NqE2_`eTfN#p;Q4*6|{jkE=F# z;AfV>FEoU2f|`|o4X$QYKb^=QaIsTG#QAdiBBkyTHDNWk<1Una#^%=8!MEoa$8rQG zoO<*x?^nBb$Nf*7Vt=nXBtX9#r)7<7FUXBT{PR(6&l{?R(9~PhA$0LE#VCzF~fI;VV&U53vtaBI>XqntP zkUy_VuWW#?5fyjndgfsEyhm_+>Wx=?Ujc14dV*#c<9fO0MpM1Frj~I zA&kLWa3#Rjka&QTqCS8TP;~(GCnO_)N{oCwyl8+dEf{PX9rgTdwD-x0E=fxj;i&AF zr*5Pny`f;PKqX7P;h|jvHQ_e1a!~U~$K;BZ{DUja$J#s= zrAelVbvw508Y5momXr{e8KUg9$ak<$se-`wZVhl>vI56AB9+e1mM~>r={Gh6eh5H4 zz;jP`@ym>u32|@RW92Hb+f39SUH-(+I$6A%*7p)MhGK5vq#?w(omuKo82uXs&%_qz za$@EK@MDH0%UIWWG2|Pq&fG2YyZPl_&#Wy$lEWEnQ~FFJDh|KSpCCCWKXntZANrg% z>1~aB&CU$C)}&#KJXHl#o?qGOo~0Rl*Z)$XedP9%%POmD30y%iFs^=X8qSKq&9)A` zEY+&i$xXGn=h0vwpg&-fj#O!)#>-Ojks>Z$eGMmKvkzrkp1S4v%=~G3T))-np*Bs% zFq03^F%{@$t-x4#su5S}wZ}HhU!g-Nfj0JS>1i~{%#75Zd{Hm-*1BEq%l{xz)F;Ro=H0 z=G$ApZ|x=N$)lk_-{h}}h06HfQ?RAs`O#_QD1QsFRFtO4vd8vMl|%>bH~>j7;LUrC zuZvVh`fCiV&3HPSB6B!(cg+R#tZG%FV5^OR+u;W9r)GYW(scd?I4?#3`p(0$!FD@~ zl+xW>d&E5Vtj~Q61)m(=Or#qyi-jznD#TQk^G9>l?x^K7MQT^P+4lP3!>uTU2LebN zgKi}f(ntXMx#Y}m^Mv)$20k&$dc*FueQbZ}>?_hl@3m1^Ns=~iF2!9H-YzY(t=?#R ztl8c46<|FVQs{{dLQD>CqEc-^P2b^( z4O_bf{vlBcx$;YJ(zsGH%*IcYB(|Rk@SL3(7Px=JaeTj280{*Wg>jOX(m$8bGaE zNh)=|gv8HQx$e`F=XhT~VLd!*UfS}Ap@qJe!yCRor#6SU7ZoEIMCsXr|@3eb*IEUI5~w1L=Lcce?F~ z&xay5y2sa~e_Q-TF5|}}*sbaxG36tkY3zubReB$C!r56tr{jG(b>qj@H~Tx1?NRB> ze!{8uSG(mYqz8`odsEimy?xH4Rp)_LhBe$3tvTvEHi~iqV_`orE`RfdGzb2=0TREW zemWmypwFOuwxAPfF7$6qW#}MX(-J2S%`~m#MlP1e`8W=`mAox;GEsVG<*PL; z(IR{$%7rH=X$N=SOl@iuNw%F2VN|w#=aIs>1BM53)x1_sFdf};jf9MrIl_>BrVXbp zYMmqYf0Y$mNTZn3W)vQ|`$`rc$#`dNuh5J0L`9&4%xE;aBNa5D>NIBez*~3K7*L%w zo1A5bRPHrVY5cDFq_E<^hMhDY_^5_?(a88Gm&?mmKd|fTBk(5Vm>t_p299-w*S&*_mrvCMs*!;%LU zAenR)^C}cTU*B&Hg)tCIU;Pv;ORYBjEnK3DH~j<>i0(vq_;x*XYM7d zR*qfHRz0lsM((uN0^s~QZ(|Im(ugc43{M~X17uG|Dg~msQf!l$G0)V>l{K{=2)T~1 zYDL{{de^(HV-n801RoXuW5xFDrvlO58I-HH04x28NkZ#wg2 z<3z(**_w~;7gk*jjEidB)s61|ibj#th#uO?pG}91m5D;OO@?TK-Gu#w(v`2F`Y5+R zHQS{%MUh7o^%lo%<@n#zp8a*d{)Ci5Doi;LJ7L&9Sn@ZsPkzGbx_`|(D#`BlzWwotvHf7g$dIMY-odE_HGdZuRs=j^ z6;9I^NndvPPuTk-g=ZZ&ozf)NFW=mjA62;qSF2nRY}yd#o_ZlkmM492UV=vQeH~#*GbBz5DS5gvnze;s-2WJgiQP9qQ@>CN%JjZ0c81YuPrN^ufA)H%4DC~lh&9o@GH9HtpF0ZVKG)<-k8aXtRX9y3s6^8VfFW~+@huFi!M26+SX(hh zeHb%(HRXkaCvHQHT%OkwDKPX{mNsJQWL+(t*7W*q*T&-7%5&?VDk-~$WE|ge_e(@8 zs?=wGjv>=Jgc9d&Wb@K(s;QQS$kEA-Ll|vO{}6Pt5Uc8a+>>KGFwOOAxA{n6dq6AS z*q3U{h=@f(PN;}SZ+OqRflFfx>w>z$a_zVIsEZ~P#cjXlOLFzmWG<2G9vu

xluUkxKE>U3j=`8j0d`5}Vw zQ9%bcxtxhL^Zl8I^QQ5oNq@SDjO|#ERdd@K3*O_v|@4ElPprZ`Q9_FD%o+~ z3+}Phg!y~|7XzNls)S|!m7GT6msQ}0HK%^4qJlHz@2XipM3w7A*pi$qAoEBJg$d>Z zrxoP-GZ2bOXda*!GlaqO^$)MRi7WB(nHcKY|5ssUrpEtqVdcN>ou5!ebsUYKwHN!E zy9)Y7Z)2VYHugrAcUw^s$a2E@+QF}!lYdcIj;ARHc;w|T%UFBwWaBa7^&M@OB z<=rNJ7e3)UtU#+)hAlk|&Pe=oGr+fsLjx@lV*{7n$ZcL;EB;F@J&ZTrB2CZa)V!bU zl^iyrCy?DkksdfmQ-cPY|BK-cqA_)_%3F2Hfi9=OCq6NK=1B@;Z+H4+DO_|cK`}w_ z49TKA+_pQa_<{VNQ#)fLW;CQp5itS+Yoa6>N^(JA!c&J&%KTP*kgT)$m5?VNwW&tI zAui4XhSjyz6C_K&=iXbpYNRbxv`&@15q&krZ6mHO1U;vxhPYJ)2JGYf=Zu3i_KOWy`|MYmtTAm}**@|C*rnDu!pK>AK3fqW&DD#N| zGmh}2q(VroEu~sz{dboF!I<>3@F#fMp0yiU(N>nJ{>%vT?Kf$i$Jo29!A-1j<8*2Lcv=73aN*`QkU%jF8 zV?)k10iG&V-kYes+>!4*$_B_0Tdt5O86J_f8^V!8T$mRbA>lW314~&}l*t&yI+>xb ztb%J(mVQ;?eY+9uu!EaoJ6YE6v^uZ3fd5af;O?Ol0gxwyp4`Yu;qqekL{MEP6Q6lq z*9P+xH|KTE^?jMp8=w3nv$UU{>?iibChyL^mjl`*+bu7Ln1ZPjJaJi{_<9+9V<5Wz z5e{UPLDNsg_mC&XXnMI$(?bSXtep^5=r3R(@RemwGHRg~{+jqwABJll4IN4i=iD($4mK%z^go?wJ(eStZi5sAk->io&(GVK~ zwPxjg?q0bfi&M9hZSQ??ASbnZylt1}9sY3~KhZTId?la}DdY((uMq3ldx(r!WyRuz zmQ<2Y=zP-T%qd4dnUe<|ORe5{fA@*<%j?K~*`MTc*&I-%<$!)Jfnm!5Na6b<_;;9L zvZ$~JN)UtgX22-P5%YT~oa?P!G<}+*Sz^IVN#$j}JN2(kZW-2(7t=&;zLcNA1h9-i z#VCn6_l#`{WzgY3YMBb(fR?fJ%|oXzhHJy&a5tY?t$qsyiA=mAsU z_GWEk;6pJQFHGrE(~FU81#-{YHnNjoj}=doVaL0WGmBhHIB5U;bx#M|(kmlC@-GbeHaJX1v4osH)`^xT^*1`~ zZ8j;;KdkDJHeGg`ozm{G?wE>Dr^QE2cZxERin`(8&AdyuYQYs(hMgURBZglThUQsa z93GYxnmP8G^7O6;Z*a;*o*g&sh!vIdjx6iI{-!K_sDQNt8l#{Zg;4ws6IK+Y;3QkB z*WflokJRu%|5fH-d#OW+~;JCj!iT&Y@L0tgGyhw-r zI1hm|7|@1>Bcb;}`1zo7z_Csp6cI?49(x-n7w0ZwYC?aPN^l9F!sM;A--Ul-2EQ?G zjc7NG(oxjeaBhESk^s{AS7)8x|NhNb0Krct=!`a&dHSc!QC+B~RQPTprsR5Xf=MCv%sTL1PlkdH?;A|DqIn!dG@#jiP=? z4)$<&JA)4DuMhG!rYL`S1DgKV#OU8I`a?&B1|~tw1X!Bj_x3?Q1Wd<&bMs)v@@GG{ zKSdePsQvY#V5kl-2%iu?Qjq_-u3+Hw7eBdQ9bNqX5V;dXf4$<5@zJtWAS*df_#py2 z^PNYL0ATB1@B9}ll7we&_|M+}n4bzVY+?)QiwuxN-iAy3(Y5~Nn*U-xCIMr;+ni+Z z`}~?8`jrd6x%J=dzpujmTr5aI`u;UZ018{~Ezn=jv05@l{$O|hbk%>+6#GzLF5^px zT&Yw%`)X~|ulN4z?n69E$MsCH(@~(I@&njT*ZaXpB>jDh+rIqG zegAIn{qsxw_ly4D_Xh0O+nIQv)BfLjZ#27c9{6~oLJer-tOGN&cv&vbrym>=v9gXa zQRrZesV{uA(B<!0 zOA)GUy8ig_C#*7KXPyBkZp6%9(t>Zk_ciZ}qVZhehw=LeMvy06lN{0DqiBaY2JNPU zF`GFGQhfH#^$nFYnBXzVz8JdAlu7e zt8ngv;#&kqX#;F}qOu=O+#s`gYK^{=&~dsyH{n8R?5B&5g|2vRdz~n1=$rQ%kL2zA z!z=4apR31;K?kS1OsNr#6QWFca7IR!JDvEd$w41>tE@_4H1WTjye*X+S}`N*Hh%S( zr9X+#42zUsY>v~IRxY2O8u_%?@=7GEB_)E2&U6kS_R|V?F4LPXcV3869jQ(}EE11y z-^6)}bVZR+%r}hO`5F469R#PR*29ErEWoy_E1$MR9ef*JH7zQ+(Wa^oj90HCt)rBW zM_t*`WK{k7x%fj4gN1ElI&sp=oRk&NJvX_+4;&n~bp!`f&`L{d&d8~5-dMHk&Bj#^ z=v)4948nBghK44$LV2Eyv1TUl=Khc~9lVZR4UoF<}GtfN- zRVFzNyBDlcJs6vlxtaeZQ+~QxS)C4VtU@Sx5J%G^ZhvvCq9iHIPWBQIqy9eb{)U;7 zj3-vAJO|q2OIX7##2c? zq8G=>@loAA+9uR;fBN*jL`}In-jaVf%;I|1VbD+qoz=7xAxM{LA&x2>=q>B;54G&` zi^Eb$q`pmkyQp!Eo8ueyNwsi?a7tLizz!ys!5_{>F%rn@^K#E{?$V@{1sEcoD-WtK zQCyc!jOU$8wlCSWZ>Icu0$ZYkQjpNvGZI5dZNZZ&nWl7D1Y*-1SE8bZaV!CLOS^#m zd_-|~*z^SNo{Nc(FS&RMZrDl11758lq(Ywh!K+oJM>O;Z&N{?Z0$wfdDRiAA@OT1u zsi3@cT2F9v-srT0TK0 zoTLKiw)ihrAYQgPbjQ(mGz_JtWUU|gP*z<|Z+UXHX`925_KzL1+v;za@NbNbM!Mrh zrVu@K9xEv>U%4nx z0z6>qEwTto<(z%D(o;K6zy{HJ%4s3py#Lcvy=p3YN|<;76`I8}fZYs~c0=gC4tAUQ z%1i0~4^j;)#rL$V$roEb+hN>qe7Q~b{kufTt7yW16@F%=f35riiJ^7dfX{S*da)r$ z1S7#bz`||rrlFi6gKxcGqiDx+p0z(KnLHyqikY2oiF2^+D2g-D@W>ZklaUaitm_l$ z%rihd-z9TK^YZf-o~eDnB9qdbx_alKwa7jDlr3L=R=gC_mcEoQ%3@~He~d%Ah?2fB zUvi3x?y&G-+bLcy9LhM-XAI8{JY{uQTRXq3OP8j9@1>)^XUCawJ%zMYZk}m3P7BD- z1}@DxapJM-xjp!DE1C#piZ3wF3c5=L{$Ih=;oCh;mg2)!^v`p}+)s-~lY|ad3AkT- z+jx@d7^=U1{>W?I6MxLG_69V(xG(jbdRyL+y54c^kHz;q?ezs1qJpBXJDA3`Q zq;CF!nuJQPXL4Hgwv8~ld8S!CvJ%%E$lU^wKu9$w8U>^~B7Jc=6MKJg^p@V<%u-D;}JhLf~!+6nXJEJJ&HQ@5#A z7`ffiYNp0q$r8BwT0>ni9`jF^`St%07ZW7^PbL_DO7aP zlnf86Q+&Iq#)zxYbDEV0B1QzUvg-3;+53(py}0tg)ns0C7Wr%D{<#P;ZunqLec^Qv zp2z)~kls<^ycsVs{k%=WvsHgL-uUaQ=ic4{=)KIki2t+cymP{Ty61KsS0Tpr&X#1A^sOle%vV427nW+gQBOWK+=ehj zh2@e1*y_0A=XCqN`1_M$-bYS7HAr-NIzmcWialt)R@ynXr^MepDK})`ji%zlxze)%DJxDb*^ULZq2o?t9o}fwM$a>Ho9+>lq$FK4cO^g? zh0n=^7@`~&iET$J0*~?C!v@5g&PJtufd2P1P`rK6U}6uq1@3*6q3Whz6J`H6qkT;7 zY<_WDX4xNhUd*IEqY`KiK*u`jC-tBh)~3nXJ!jr_JsGWxEPU(P*I0cnW#q|?u{W}+ zDy`P{#8&}=)?y1R8Ysc;GFGAYQ&Z>T9?d@f;22)kk2&Zs{>He_*&Z+M`aVD{>rjUg zkb_Vi#K%`4*B0WudjPaml-mTqt<3*+5o1oCK(}Ibh9A<8Wg1Lm-92ZJ^JKfD7ISHT z$r&eSomo{gA*r$#lEzV+typR#j4Y$4Z7L35V%3blh2S0Z2Y6^YGm+^XgpoQYoL-oa z=Q$VTs?TT>Y^_{37jWr=!D(En)=i0^gTD_N2YY@k2yIYt2wk=llt{_LuL1nz=d4Y0 zK;NpT!gJ41)fInlM4PP>J^YL-I0=# znOCYYx@bU*pgWHpG8B3LDC(iRQNURNnFr!mTK)v%eZYs(O;~%)uNci)%jLCGSPzwmgYbvrmpN)T#7J)^ zK35FWG&1zPO3XhXnBH9=XFqGDj8TKYd&M_BM7(H4x=SWB#bopd&nfT8Kvnl*R=Ile z6!n(Zp5zlVEpHF2DBWjhR6LgArdmAhk5u&hLHjvN2*cA)iAE!ZYgS!(5?Hs`=#U!E z7R=)58)`D^H9i>Re(_efb%l&NwF5YqlFVHbHI^>%r@}JiZvP=OR-XFz03v%_8LlBA zlq5r=unYr{2cQ#_yuBJusV&oveKbGKKw9~#^+_eBGtJMWQQBPB@%2OR&JIU$fxX>D zgdj$YQ{ivL51ndK-dHn;(emLck9*jr=uQT%U-1zc8+Dw`yOgg{T9vdQRZ}j_z?WHI zt4Ph&e_E%HqQ7n<+Zb#=Q5LHcNT5zN0(v)6vQEg$HXRw+NwS=}ZO{>we=&!3FvDlS ze*8YAeN+3LYfo~E2t_rkSb7*K1YfUcJkp)8TEt^kdTMMnQef1ZWqYsglCHEa(LWIO z-*+O;OecR94Aj^<@T%rI@dN7l=QEB;3?<=cUqaM}1Ox5eAHMpZO^I_fbMwRfABBL1 zv;UHzsLbO2(v3*CqXybQyV)45rWF}KvWb1tRSza!mmxMFlxEyG~d zuEfP4rBoSTa8ehbR2HluD2lbIEBj-gkWXW42k1f92Z z}R!$#ZoieL0x*^7iXnuJ1U3 z6xA};B=1FZt5x-4j6|b1Tb@F_j9RNdx~N@PIMBNDNX3wDTJgrfhbwwLbMOK$QObM0#~kEUqkJp2jkA zv~$M3MJlsp$aem=iTYI-7ixy3u8;iooFNt8%>sfEC-=`NgkO(dZeosbs=(wDDi&7? zi>gz^Yz9tv(t&x+4hbW~(l0O(wn@Ja;ZjZYh}zwbTXLgQ7d;lnOd7Lw$r5Me2<+%N zfUclcED*slxOey3zVi%66IU*orE*7*B1ktlv=vF)!8(a+*t-BKLI)p-z!+u_{a}2u zM|zFknOV~N@B->w*_}iAsF3_pyEl4U#)~^26{*h5;AJp}pfQFacbz4plKErWC}M03 zGHqMJhz=kmA)jN6H7jO&J4r$5B<@Fnb(>Mu4h|R(r0es z$oFC8^^E_Ay*Cesy6yjmX%iCJBc?1#NXk;kBne5VEE!CNgqR8$88by8+k{Y*sq9-L z+hm>WNwRNa8AglUOlf?W<$BKR`#itrzQ0#j_wPRL@9}&7dj809n$~ zH#*DLEpZKJVpQ$Hw}xSxKJN$~^(c8=@H`ESb|2hFI0n9n4X0JmJ3D;VGqR_T>32EzXO|JVi*!Kmxy1fD>tiwKa)UW(o0=MI~ z&0Sm1yJq@@JReH){EUeykA}OA#8dB71frX#duzWj z^C2^qES7?kujj>%0ow3oc{I)yYVl&AjH>|D!uFp%H-11iXAu|ic8<;k6i%E9UhF>V zXyUkeaHXyaK`p65qfq>TH!I` z$-rLo%F&kl!MnnQRrc07fXsXt-mBVB!#4{%fh=h$LMfUvMlrS*>~9~vy2o#e#WCwU zMr6S4oeM@QL1-`hGo1TU4SX{hQienOkYLn>%Ri9AHXnjd5^!?3>nI^;e^2=eo>sdU zqDP5~oeR2Fxwt_q+9#@1C3Vk>urqs=likA)a|MzZZIjlEI{-KII@=3+$~xF7*VZ&^ zBsX>ueVRFR#>W7WZi$F0ZbF=#E2^C9sl9f3-(|_qn*|PonCq`6QA=RI9+ zfG@N#U|fL&meMsKso0e3I+b){OU=F|kNfZAPt`qSNCg+M z`r0}WZG8e4*v?JxLE-iL;5DF5Hc3GBAOR`ye|VP{*VSmkP;e%ggE7Wk5oYUym-Lx| z!aA6P*-d`K$CblzXET91See5?!fcU0cpTw#qGYZhczGz<6a!ZG*L8yRrolN%Qq0}J zK>>>#*AB&T|15d)g1>>y^Knjq%5ejZZcUmYM*XUE{(1<%yADi_1cUFd3+2jR1515` z91aKb9zebVdVc=FvmOX%^KrN0ieNwa!A@=lZ#Sa8st3#a>q7s!jlU65mC+T4X4o$a z{bd`0TAl3&Vg-Zta7%Fg$~ZPCp>ASfqoMF$7y9c){{IL5-}E1ogT^faGprrM?TEMs zs8;5ie~}(g*_I{y-G-im5={i|y7h<~I43+bZ9Pb)MM2?A@&Z*6U?W+PIjmrPOvoQR zp_;NmDvCOw91&b{%k`6wUxv>|Fr{k9tkQ7gIF&+yHvsVVS8U9`bH{FT{vqcfgnttB zBBNsf>&=XH5F^LnYoo?B&gO54MEE6Gv?QD#?$HGx9ECWrZrAcx%rw(`dsb__{ zZ%z{Jk!Ms%!+xt)2gUIC3RSQ*sfwq|NNn+qO!)%^cFt`3&l_X!V*9!$u_u0~Fn*-I zBTAUDv~Ud|Ne2wXWQNg^ja(`CeQn{Lm;>eX4VUK9>WlNosZCjR*`)Q3Cw`afD&Jbz zp4P^?`HjjZtPsIiEx5l^pijY_0F+t79-JTkAy70Gp+WBme3)ZyH24;DZnLVF`kRK! za>UU+2N-YGXtzpFj%F%be>gp$3ZKl<6`k8L*UOzCmjE^pStSPzhWXANh@CdnYw!6s zD%Pv2fN#Tlk@V+s$M?K!*JHO6?d>aszZE4Zg6( z+A@RWuMNQwEpxqGm52J?i9mTr`WM;z0}+{-X1A1@vIv*IOP`u@(g}<$cuX-s{gu9h z@rzM#hA-}6`IB1VVe4H@;jAmz4*C7u9u}N!j@^YZX5Fp`{4&;}xo#*Qf*LIgq2H7- zA1`yhn4(8GPz>|bL0blXW_JlkAMWyPavTnIDy@@=UXnabze5TYoeL%Z?`JaY7~h(g zp?&`7p(#=nMh53+J^aIgJJh`dsJ&~o7>5^Sl9$s3a}&IzD8f%~uqs=h7(9P`=_@`0 zPPh3AAgEBnXl?8m;my|sPQpvdMVtqkK=T~=siwJK+*)Btvt0PVlqc#Ml?JWf4h8d62mo^fQlSZ)QV0$j}*bUGM>2TH8N%H>kZW(0(0-x4>dA^({$cEI+0LdzU|ei z%>+Nw5YNS`Y3epy!$}a!phnV}u8>M$OCD54<7-Cpxk9POD{cb+SDjpKH{HVxq<(_>oy;GsA@MqGYsxOU|S()aBT-LmP( z#65&`!i8VVn9i4}Hz}PrMVYq-OmfIR{$Fl=oKK4Jmm$~}ti6ovF|qSF9~i0`YB2Ke z`Nnq$z$^TJ0$qaLKY3~^1ZZCyTb#@c;M}c+zeM}fQrmBL_uBfShnzFP-+WY z%1DzF@pWn0b;!@&C+@`8DMgZ~)r~i%81pZB2&;TuJ=E15>wg1sGM0i-BCCU zR(Y@=M~jB=EVxho)?S^EJf$%0{;YoO@hcysew=vnxr!7&(;6%Burjc9L6yYXf;KtN zP+^NlGMhO0D^CaK8;w*4Yh|a9Lf(&l2(7HkC+wdS5?e`7tR{zCz5GbI^6BBnmyQZz7~{lKE#=@2h`HkGin^>W*Z{VoPv0W*&*N0aPXIElQV z35%qWhby#JS+_+Snq5mW?f-6(S$ZfWk_PVnL?^(8( zR#}l}=Ht6%^@7Xy4t zJ{n_Vw12iR$H~X0{ib(XMpdzLMRS50%KW+C%fMSaY6_2Tm|o>}YmpYUfP=9EQei2e zWp30PFh1k98;WyxDN0rQW#@Q1Ij4O*Y_dwz)tX%`Hkvf7xc9JaCqTXZOZawikW9Bh z2|7a2-&&Z+%GCwf_TpgCmY@PthN>hDJtS-US!~HeT6)vumEZYFKdG_gtJIMpnr2*4 zy)xSv;+rfEYEJXRmDL&-K~BAM>qGmcR{c9<&7biY+3(tBH-3IHw^0bys>%TG^?2#x zb91ceR(008yOq}4hbNkjUNQ1=vyo6b>b_IpxROKr{~&m(ci_~6X3@`NPZUcYbT3(I zf1v$hLW7ZQ%cGm?)i9@_z-dL6E%#G~GN{a&IO~xq^}G!7sP?$n>R{Kmx$kSmOds6X z5;b{E;n}w@(;c6*GWs+hhdxUw8OLE&J}_PfE<(3&tXDX)RstWZmlsN;y(tL% z#Po@e-G3Ym@*VBOfB^hI4$!4Ix#USAnQo4!AZXfYur}*a#m3bM9_TVnlH7;g_2+u3 zlG-wMzqvK|-8tCykfqzU8KK&pYX16JU93EsDE9^8*!bXc*|A1n&qN;gIOn4e-UCNn zR~U1NRu4Sg|1|y{02sYs=c18N14W zJ#mC>;z6mrSg}M4;v?K-5waZi4z&e42xc-P*e;CR#x&QLFS*?@p~b^<@_Q;HeDw#| zM+;AtjVT^E*y@TFH@KViAsl|N*!r)x?B7h1cyqhc>>^^o@j7wR$Ubj>))?S7L6K9- z(T0*4d!nbDJ{ZhXOXg%y%MDtzSq;B)y6?BoMP;X*pCqz}F88nK=tg{>@0j4G3&K}wAu zlCti5F?iW7LDC?L^gwcIL+7Cfj}C5dkdywFN9SuqMGyoPYw%OlFzvZo! z2MjAlq=Q(Wb{vf2-y^=+nKyck?|)zmGpInRPJ&sGgLD+98MiVW=sJaz$AacZ5`4ju z?$30icQxT-$dxLMT>?J5l*v?()W#9Bt8u>e6#k*O267Ku4m}RP6zv4B0eLv zFmRq5IN?Tnpq!?6TpmCvyTd1KqA(zZ;)>5?Tl6mZ5%;=1h~Ag^tTx`7_k!rPe?YU^ z{5NFQpOpWjtcpibG9XSp%NCo0kLm+3Onwl%UPVUNgTk2GAuMl}p4GkyE1{?VyI~68R1_I?oJ-SPUeX;VYl#_%u>Q%hh&-7GRDt1|R4q6=py6 zeYGV0RaR4D_2#!x!=4St)%hj9cc!w7F9v}Z?S}uujx(S(&9lqv<*MnFcWRg+Hkxx`+ zJtz9-ysvC?BF4O*Jhij$XV=aKsYv&pBAwBgo!W)-yzbvq69>niepB}ptDl+JSJ_&J z#Md9jju0xBn}sQwQ$q_cX)((}RJJN(ldB|sOLjK8mC~wag<#3|asp-NgRg(pE3vp4 z{3ZDM87rYT!>>+xz7XyfQ2S9s!^PuJp(y4YCk1?!briC~FLUxKSAi|h&}eJ%Jv=p# z^HeA6&ev3wdudm$v&%)phxHe~NT+vRu+dd8H*7#LO*mynN3b1aDYzGM#FF_E;2U?v z-SKQd?u7i{o6%)W6TAc$20$izJ)4L$0~BXjqgU-K4km}-RsFy1IkK6DhqHxv0J30R zVQ+@US;m;NoF`zww%ip>o)T((DjcVNJI_&uJGv+$J*@SE$L2j-C_dX-C+;{%j)8f-cQvN78gl;d;96lXG33e zqu5so^s}hZ^GpPQ>ZH*S_i%LT4xViQf)7Hfet-_TLxxMO9kmK;x0mm~GGV+FtC9 z((&E@?cCd*;tGRcO%26(%fgdS&pgUXuRNT0)Mga6DgO4e03Eu+;@V`VNei6r^asyy zpM~{9SGC?n9cuyhDX(JfP~XYuqZ-;QNef$^{iO%rCdkn*CV7A6wFI}GM0b4wpUi|; zlA{7O!C&>CeaeWmB1Lqa8=SbN6mPYq_xMif0DQ1{|7AB*I~yKx-qkM>p9$rwi&ix2 zk@`?cp^Z!vh{Q1W;lI(_PH!^rd!1_aJr*qm_pPs>xc}JRnf~KT{q0H5&jd)pbFq`5 z*aj~XZX)03?&HMO8(MK*7DEqIpr=J%Y3^xC$LIB9W4?~bS-id}-BQ)8BD%LHnKy6a z9C5URISB!4x{1!o(6OfAryas-&ljNKC(_1s=DP$aPGgq2MXNgyriv{(&FXV~Rx;Ry zqnk_L?Njnkfq~ANFeiA6@J6;gVD%7|!>A2%mB$28JTUodkBU>O0xleKG7WJ%)>+`J zU!u0HG%McR?p*Um8jkMY#eUH?P2_~2ae(JW0Gz*J=jas?a!;!5~XEo^#J5HIax#7F=6;{L3@PR_&7V2R3vATK440}q;Y_j{(< zTonrVy7&Hmg>P&RV3QtWE|k&X4e(J}W*EH-q$s#uWHBzUSM_V+H0(jov35FNjOKs} z%P(L2T3>r^*7lfxqWcJAQOo!?OK$h_c4(SLIV-z%>{kK!GT_r zYItEMuU;o_F-qI6)P22HA!5c~l=7NC6m0#}2pyRR$W_7=;u%g#0CAg-%xXiI4D<>n zfzD}aszlPGMjb!;RtS!y2s(a~(z|ipLitAhwGVr~jPQcmAuHHBvl&UZS%&s%#$9HN z=SCMT>)^%UY-LJ_YQ+ErCp=OfWLwJ4R%uAkY7lA(y~hesvz)|7-tLKQS821}EN(nd zId9*qYZM(zHPz-_l04rL=qd4$d2ZA&LG4&=i)FKU`>A~&tK_!#n(Y!jO5DRKg8N!W zlHV+q(fdwA_({CD_YTZCC^ZX`J<%T^YY^tEDirM-=h`Qrib%9$1;gB#s24Otq=p1%9cp16*~CI-`~3!{BSRcNL?LQ|}iQ zd0ObykPj~mo>i%Nkm)IG9+BHOqd=efKSBVGP>&}cVC^oFtjZ)4PGwQOa+6x?@%Lc%oB8STNmX@hbfdv z!%^H$LO2H8hHm=&!9aXf&iLz>>OlwgmJ3OAC84f=e6w)B#-dv9l%1S)W2gZ$jSWV#h#A$4d02&r&USD3sHs8eM;&6zXO3_o)(TTjx5b_~AQC|YmvG-cQ_ z!UXo@mTl@jYy#vtZB2<`UjH-Wh&c{$0F(eIw+f)@T5Z9VwJbLy1?I83VejX-@^xXH z09K(&+NX(e<;tW_7sdAJisWTRT;*AxXCCL|fzCj0Y^SRTC!Z@Z>r{~%iSfzikj*QG zF2$>rM}7>D_cm3ED!MIpcd_5!H3^vnqgxAu;0^_PIi6EX%oZNfUs3G(jWp4g$hYLG z@mc$63!3%E<+T+birKNC+R_pI9f5> zu^T?6g6O(GBsQO)=c7wGnTP36TgxOpxO(t|)~;sl_{7V@$>O|&Y){UcS~=i-htc5+ zjRYaK0}Us|KHgK|>tIq!U$9r$w-~To7L%HW=qL<0Bbyg?*Rj%imjj#y@_`M;hN>*} zQSa3*mOjP-y5~C;dISj#&QG;P_%2_ee<3G-6T9_e?48mhQ`TU_aMz(zwj&bmvE(#t z58-<{U=~T@z6YDik$pK-0G?)omF5n?CE*^RqviOzQ6O%^U|NokLInt-CcemGHnAsyJu|oM-8=_t%LXuRM>V zNu+cVW7>8ti#8@WDR!!TWE7pgueJR{od1;O;=M^+Y;|Nj@XT?W(23MGxDZjJxb`xA z{+#8JKp)+zC~KeHsPc4+D;esw{>n|KM&&H|%uFG@smKT;IJTFt1$S8(QpJHGf&<1N z$a15>wgW`5Q|ZOVUi-a#r!L?=_HoDl;290)dXrh8I9;`!_Fp||*6N&c_;u?rYKi9pm4>85 zPETY9Nky`Cu3inXIKf(9vkxb4N4<6T zsfn8JXA3ik?*Mp65L>d4c@@f?M2U>exo%5hUSqh+i-SahS@oOCg-xNJLfqlkw0KjL z(n&qvwd7m;=hJvtL?)J#TMxr_uga^^nfG$N(_jzTg0F=XTkE$o#BJL0uaT@ot%cJ{ zI@GOqbzAJ}u@X--Q#e8yvA0_ejB~S~GZO-d^Xt#+lH=ma##|@HKfY-}38;D|j7JF+ zyhv=GbU=OGF9Z~ zA8{1NMA4<%#$iln&Z}C7q8Y42Wv_3o8I4$mR&nTm#n?Xk8DX{WSX@!ZXa3z@OUWOW zO~bZX?D|o_6B4v=lZC`6bE@k38dxXTB6vHHMD$yB83?G^S&_cOSEtDl+2x_scYQHE!!VsR^82{P%gMZmtrVe6D{nw;Sb~sOCcz zo%2T=NkN}GDtO9xU+kyINC7ml`wkD_YvEZ#as`(E6wOz-VTLb|!=U7!rhlgMHiOVQ z$+ri-fUX3W!r;UDtJ+vicDxpRDi>rlU~-QE$cZOtfCv{_vlH0&s?LAmZyO{3CXc%Q z>TiDe{czWsWCz>k&kKkNlE<}coo5HYS2%~~qW9$m3Y}=PC?VMOFJ*>ND3U3(V1%H| zKIJD#-8}qz!JDl$`f=A`k?Z!!eDTYeJv8G{% zPdj8u^Qmc^J^tXoR!nCDgdPobG z=k4Ij6bsCr=}vtEE5zB6!>y7u>CXu^CB_POzwMhl%fA~l4TJ_v_$EE&fIQ^F7h!Iu z{y0zQP6p7xVMao8^*iaW-=ISCp_tY?S!saq=y0Z~?8KbE>Bh0MHs-UtZnkVgDJ6cG zmAMO`PFjoK&ygi-O;{G}V+_k9fV(g=l=NRxXKaH3D*AF}mM5awx76#Lz z9Y|XaeLd6=e6A>Oj+d_$4kow5p^dp9|GL_Mmz}>uYSK`#rJFs#@X=5r<8r56G+Sg| zSEijRt<=*q_*@s(gHq4ldpqUGQZL$A;pk;N)kvOwlEK#m!eQ5ZmLdY3WItf2lZTNh zXJDVpR~1->8a)q@%-4u(9evnwy600OqO$E)-r$mru-1d~bWK1X-=NReNS46JLFp_r z_E{({6P;vS(i;F_kVbJl^nTr2wS&t!X4$hTH;olOUVeNy>xqx~!3{6%S3qVQR@VA- zk{Z2EZo^5St69zUS_AB39xv+O;Cwf27(G*w5}Zkj-nYXp$m*tg>CyJv`;9KdYaibZ z+9n(R#NVEzvcN#=Z0lTI1gR%*=Zf7(j@U(f#U-PLaoBiAHAO?eY}B?Yr8 z2~?3P9yDo7;8w=)4>2Ar0bGME#){=n#WkD&eYQ9NE=AkCe6K6KC%|%9(BiVstI#5s zm?KlQVYiMyni$I*CIak?jzDFO74VqdpG8J_Z5p~?oLQKrB&(xXWCh>^B1my%1(kI zKoheB_r&Ck1DDSlz^K5a&<0$70t*fJ0J5irrPyjcY`ZBOANmiTW|GWmtkL!vSEJI% zM#_W5hAlHu_1%7piMMwq?5=+3hG&Mwxm(zyq${NDtTAlTIPL9zL zQGKUw((Alswctj+z^9e;#oQ^0>^Je4h0$Q5Xs!jF=s z$*s5%Tr+O#Rk{=&D+pzTYF_Bg8QRR2X{psql{|zT`EcoOyTBNwW2f>KJ+o($6a^5o z-N!Xt)J6@5GarGbp#5mK$>g^9S_C7!MN(h;q|fx(vTmWD?UkizOGt&QAdBOYEbt(D z_|tLa<0}6oB!HXcpG8C-$FgCofrsaF`xDU`Is`tI2fi4IX*HObaV~WJT<<2C?8Rqc z2wSw~)v80LyIz>*J=pTo?5O(*&?8BrF8nDSz`}$@b2}(N>nAZ%CsUF$A-CpIr^;gZ zg9;5D&0UBwvzs!7<6~n=xVmWFu{_x??=B}1j5%P`XEKLSPFSGQNz;6b8-rQf9Fd>~ z{PW`@>U=6v9NXdlI@tF3kf`IRkgiovR+;vmZ1k$M^Id%h6d+LO<79GG&`nd1VPbH% z4ww*RNz08O*mbj!uh^zCr5D?o5_J*1b6ZMC*FGnT?b&R(`{3KIGlUU4_{?4+6~;XY zA5gdE2x%c9IXL$Mrfgbxn7|cqn+|oDjEoCRBI0*qHdpjtXRA%WWgCN3w>cm z74>2HD3wP46d&W{dwf6t6na zneP7_TljKMgz+xbz=bGE=&k?aS^stuTgXc*no87E73=zPiK5(wUqA~ar(rj z)a_DR556>R-;6KAHCU7VtlWTtXTi{TW($6D#Ym@zt-y?Q?R995JX^KHdBXS_o>#X| zJecF%o-`E-iTzMzB7CGgS$T(=dn9?p)!6*v;sWv-Cv`Z#tT5HM&T zd;uu?&41njJhoGxyzr9YKlNB%mQIMeS{WLMkt+1MF-Fy>`{MQSMHPx+J z(x+~Gj(xJ$*8i`LYVDy9OMp8e0{}pjF^B1Tjp0*d9*ooA>z{C0%+Vf0lU%dxE}gjt z{q}qzDK%yBj9bcd%pZT)!VV9)btvszq(9enbI{tzG|WjfSyic%*ZyB_V) zjyv1ih3LyF-2moKmCVSE&5n z`lm8!&s9zjD${W-HR-JJ1C;OUvKKYuYS%U1rWxGSN;AF4J0hFVo%Xu}T{{d|iw!`D z$(8fWXcxBgHkcFU;-?HW!^^yaU;?#PQ!p_TR1xI*&HBEv@3Fe(>iY$YUxZ$lDdq3I zHPgI7A20YPnOIoGC`dM96)?^b%d|6GiG}4zN&Ph?lFzc5h3*M2c7FEp ztA~`ZZraykgB)g#0chgi-lVmrZ0<)g{d^rCvzb9&B)vr6^0Agc&o@-o%aHpr`vdg) zihMO<@zZ7|*>I_c3iP&j%TdgF zUAk41kE>irQ$E6_Gsus0=#WH;cpB}B$o>@Jh^xFe*S`VEnZMUcSYK=x4iN2#CowN^ zGO>FAZs%6E2-6-XR&lQgB2G2UQQ&OFMDLu<(N-soZ#Lv4#eG_kOyF9@Hs>Ydej9KxNF3Q}!n9_0+s-pl+Cm;FeNuPhE7cLBbQ|A17*G zJeIZix$Dut*x&D-ATR*i1F35^Q+GfPwonzrq18yG2ctoI4oAw1)R5`fDd~kSBhJd5 zr4vA9jgEF1s%hJ{e+e#lkYK^LaaSflttC&sJO^gQfv&q6qT#zjpqRMU4X{I12Mvu> zNEzS7NmYowJX>uipedF9)xgKg?}zkUe;vdn0=H zC`EKw@ZK|zH;Mo1b5owPG;s~*0`S7*2<>4V=>MatFoD3cZRV6$Xi8#qp%}W_)L=f{2Q(50*26|2m@xy^xGX)~ z;2$zIf1~~s0Yh5VyXn#zs~5&tI&jNz((UJ+S~#(JQ@u0?i0<=fj^41#P5o~oPez9qa+Kv)rTSO)I20&Fftg&XmN z$lgu>__RjaP#X&*zZy<}NYZl(6%nYp1v%?BW!+o@hs~zN;U8*uq<8u>OE%i1rp2!I zIUBBteaIGRy?4>p&i=@No}nJ=5HK!=Dy+-sZ_MEyLjyysDr5EjqT#Xp+2Xtz-&`jr z%2S~-L@VN>=&9cK@7k5_#XOpO$756sia*!jl&*J`zB$-W$Ty+n=D46UJ+wN8xD-w# zvqu~H>Y=ir>u`&5dNmcUx?B5TtHiXXg4FPlMW8UV=}BPgN{EfrQO~COtpg`8R|Z$C zHZ~ZE59C-{5S;p#joO5Yeu#94TkK27xFox3dsxA|#TNhjjWD7MvqeFh0}b+L?Z;?w zlCJAd$684(mli| znGRp{nf7&HCNp4wI%DIM5k3=QorOY#V{7%RJ!8Jq_x^Ozx6HrJY`-yR)9JI{xmDuv z=zHDMujBS?2PD_9Mciv{FF~YUldZfb!b{LmbM};Q%iK|_62p9O zaG}7h>bPCf?(ojvsU{4sKM+#_r}Q=49rXYx@e9~3gT-bIF4w$q0$jz}42?c@w)IrI z@s)G3PxhL->e{=zr|@mps!_f`?1q<-fwM9R9Q870DrShV{W4=YO2B80==5W=-P_h|a*$el9IKgMC^hZ-!ut*d_e(?X@TI{DMLloLy1{ttLUdwy$2 zFuW{PNR}(0$}%u!2--p(fPW)MjiE@x=1=$wQRIKW>!nqJkB3s zb%dO^?h5?`<4U%%B_g?TNgy>0!KD7+QJ(=b5^sP7y9_`--RW>HU&|jn9s299q8I)- z%u}iOOPu!w2O(f|d)T_JHK+tkVvy{z%wHcqKLd*;h_4X9fa7)@SX6auOul#6$0nhS zgv`cLmpO-|k15Q-M{1?H>Du30L{r_5_ik8<-Wdr-yS9QmOxS6*SU5!uc7>MPVDH2*Ex|DU4IT2i)$jMI4el9sc8c`tQX>2Ot()2Urof znGr)_fFsVpegB02YH`!l?Ox0wu0f)Uqu09TecvTs zpMZYNljrrv&%P+PFKN<_eNhvY*_^y2gYfpv8Lg}k=SN>Mxt;R5Q?%pW+dY@~oxg3m zYrX(@jKHP*P4xU_`Ioi)-L4ui?*o4$3FFIo7DyFhp8&vy2Kl50f(V*wMel%q8hQ!L z>ssS(r`%5cevRO%!L(3G+zszFeP}XXLWYPNMoNKoaeHvsYSQ^@sZs~M3Kip%UvTN(h;GL;jMUlUcb$20ujg+2o2XP|6 zqtO4hz@Z6gPUGJZ1!g8BQx^!7w3PH7s-?1~ZNDFQs z?z=BIhXu0%@=ClD{HpbuE;W+ORGfvcn@PY%D&XZuv2V^#)h){|lbT9!h0^$+_z~PS z8twts&l^LPD`p!YUJsGaH~m`@O)S`7UtH*QXM3vuYoD~_y64HsHC@5Mfrr|}cPOL; z%MITxDBxFm#>1~O!bv{Q4fE!Ju<)}rpiu&*y}J)2Anx@6pmnn*TtzN;Bc!Ugn8eaW zcQFwVfprXhr>Tj1wEIhMg-<7+Lq+uWeeSJJQYqY%4%1=pn<#l;OOJvrm4aGcvke$6 z%L}V7W-|6e4tW-VlSIiGr@A!iMRia(yjnxLd~BhlWAjH?O^RM@c!k_;!)x;^!V5yI zAan?GwcAJ;UDJr%{!>%fD`NvxoQKwJuL$1yc0hFS(}(HBPC*5oyhjrvCG{?L;`M`9 z<78Rd-0_3l9$W>vO?X5f6?W&_1I>E=mZ>rv?zOjWVr4;Kh)>}Y%8^A^yLg@G@vVDL zEPj2|zVihCKW&1^U-#hSgd8UwH<=|bK~HU|gBwGhOlwID@J|dq8Ae^rgSWW~7D7)- zD|{@bYRrqVZGL$v4SPm+x_mY$tGPpLqDp`)lMxK!Goj0}x6`@Rl)ZT0OMzV?^Ebx4 zWgbQ-;}@k4#hIQgYbS-gwcEDPw($s&n3M48!57E069wicTM=>*<~xa7IlzPTGl%=Y zV~{)R#c_>K25Vt~bpKZS2|2P$kZnbp&zeWMB|%%GuziIYsF7|x zqB4a7H;AbX8DRx52RQ_7LC!uX$#Ia|L-dhM91G1n*RMi;9%LFSvvAQ*&c^rs@fRt( z->h`~qO)F;oj9aR4AkPDVr)CP^w0Tm$Qpx~gfzZEkp(V3un~&XgH3a;fU(ZNb} z$y-(`!**^(rrF<@P#IUZnk~IQXCXTFBy~}6qv$=xkIhOOPWi{)y=nG))dM?#Ya9kj zvE&b)o>DZZ3vZ+Wd3_F}SHdTY;49ZN_&|mdBCmNOFWCO8$2_N!9O6Jhhbqce>MO!| zS%**TqBHMjC`MRXjw{T{JJd+7^1AIo?KL>P(|UYY-ddyyz)bz?OU(XeZ0g62wSX^A zhayRNMK6n|gRs7wiRZ$p9caJ0v->~pD{2yXcG>ucs!5uIopuuQwzux;^^~PmBZt2= z&+uQ2Sbg5BI?aFbs6)-xvmgG!^D+md9yjI!(0qLIzo#giIInSD#w=yF00Z7uNWJf> z#JHV41>ZJz=PQvfQu)oP%8Js8kf(B;caiaUjCAOBVo=!otpOn zZx=`fV1>Gib-*Yg;Y@#^mFAg#9c0O<#)EK*S&+YaqpI_Mi%?JL3(;ntZ;_982c5!5 zK%*)xa)=h}RtD_;s4*x&=|q(;i_AX694Ky2qp0N_(8v{txTX~C(PVh@Z9u}sE!}`# z^7ku_{@fz0^-}j0XeRx?ScXuop%pVKvyc|r=1iQPa0}RgLS(pG; z#pjMIVG1wSS-4bBim`jTyBCGJ9=pGCaOhlzUqOc<9!6RG7^=&q9a4R8El#~5etKKF! zH+i3lQQxb>|Bw;GjD+6MtT%y{aT(09>GAU?$eia!10Hl{Z|~3PGDM89fa83xvnwL} z%Y^!>R1V)o6JC@+F!p@ed+UF?LH|8CH$eWP<%p7;TnvikHxHNOic>Le(6Omb6_--R z&ZGuir_f$)rw3GudRMBJRN`ird7dwsQ=?y($RTW9Mi|Bf3Vea)s_m_G2{NtdmmEpo zyGL7XZ{v-_alg4x zJvVIYw8T#jiP?Wjx`=^<%0H*^vFKTH8NiVdCt7m|S2)S;kjG|f(@YVrlsqL{I~Xt` zv2rZKrpFamzP9M~89Tk#RW{2jb4XOCLO*v4L^$5xH&slHogNCTseviX z^=h0II%Y4unER9)luSLec4mX{qooh5xZefTSU)89J(3jhk}l=INl}LQax|NK{aX+F z3~{$vc{eRYs1iTD^v^1kEju*(!$mvM(Df?4wAMnwBq|c1GX3Ae8&4>M-TPlv08|c_ zLZ9G{-3eMSDZmIZjN)+l=#7pHm)wUsAvLhlafIWXq`hN=LGYKy4`qI!4@E^?fT{Tz zgtq=ZLivrxr=uwTf8OJ;JZwKsoGr+3Xujz!FPA<=j+SaR+R=+S96I%-yu5#NR%L`e z%O>NZiK*da=KGGPj&~2%;LLrR>fvCmY+i^#@0i4r=z7howis&$1?_g4ajE7F-YVKZ zXB=7P`vVZAW*6pc6UZ+6LD&1;PNG3k4cOQQD_8KyixG7ALD5wC_+wYWeBb zO%t-*aR#Y5WOSIVli41^bQGn0;61ju_>rZgWh`2*njCND<#*}$+p7Ve&Dw;csO7GB zhVZ0RlVCc0Bj!Av?_q!sOk&h^TxX!xDX>3f$T!gQMuM6-N#e8^*Gvtb+Wzi@YCVDz)XYlnrm{J}G3 z24I}@?3N^e*8laFJ^!F7%k2LDj;HLqFk4JR83InwW*VoOE5mk8o@C(S9U5I#>F24U zFgyBZ-PMCqq^^l*zO;!g`?22_cT2yQC$p|$`;g`MMijIkw~)(HgEqENoaMJcQ<^c< zW)UjdPd29WX!)_d1}!Y5&v6;(zvMwmg>?SPvCKFDwP`~Y~j#I*KIMu7U-O-kl9m%~2awydVP?;+l zL9tmxAm77y?uDDUayVNIL_Bm`3%FO8fERaPQX@{(P?lvfTfN+fjG}~y*V0?7gzwhw zW}JRa&`Vs%D{VFU{@{{co9qDxwrDtW0$>^=xRi`NfSuKrt@oB5*}8lm$)DQz2an{6 zZsn-2#`@eV^9sRJFtt&allJbE8+vjzNgY8<*gfiY>;dj4tPUfnS@Qv$ZcP?N%+(w8 zw`S7XD+rVm)AsRPx~aIrWDD-5_RaTu!lc7b6`Z{B%G3LyJX0fjAV>J!)ez(U!~zzy!QHJz0JN+cPC(P1{@h z#^t@#vY=(#c0T(=b2HOo&CwyVevAtsi|AukFkJ3;`@nX>{osN=gSS_0#Z#J^X16`M zR`~$&H8w`s@~Hy+*4OpJQk zhz>+;t_O`o&a<{&di0WOuW8YZH0kD<HdBH|j zr&93rkSWx{#(V@ig zX_7l0+;Hy-LX9Nd@W~8}lN;k>aFvUz3l4PacSd_SafXL4)4ON%PE&VWhN{aZqMAu( z@tkDNv#gXS>ZaJ9?-80wak&7}%oXJ8a2#n*u7{if-~f1SJqdd7VdSgS`|B$2mcyv@ zv(^hpLGWvwpHh)<2yU|#{0oeJUfzZO1K5NLp`(3dS#Ir4nRi9dMy z!>x!L7|rt9gXGC$J!*8>%IRZ9oYnHVnO zq@DUOcAm#6-7*uEnD{8WDiMpMwXdT3d0OFKANT9`?{awdG70b^}Vj+zMuO! zp5yn&?+^btnE8C(%Xz-e^L(AJ6V1gcz|Ljdje6L$FI4;dqNGS!cTS!$YVdSQm!hsv z+puzv0J?{hj82Z)A2$fgKyGd2yf+zXg#jWNn5_uBP9TXc%UOwzug$<8FDhu(u|(v zdx_S5{K{5j0X>F-iT9~8U<0Rkm9oO~Bh{6TDbCb79 z)|@kG9iOukladQmVLl{eG`z+m0q=&KV9?vB3+-C8#jfGGh^%rzFj~G#m|BwA7ixTZ zSlpYQRKK=b>Lc%zve!S=d-yZyL}}Iwd_~vm^zP1*P{dq%);=eELaMhn?YuiHca?|! z$pV&ClvsUbY8QK6%3n}WSbQI^V>MA@lH3i41;DpKLBv_6@Ia?NKYVAC5+c%2O7R)v z^ru%1nB+tEnx7??@>z*9)LL2(C3SvQO10UVNKr+s4FH=z0#cI3tZRMPg=s8Pu>-r7 z)5VrykFdp9MeIZD0eD6C@-GgW_$*VMhJ34byQ4v*w$mW~m@|}UT{XJ*jW^%$p0@tL zAh+E?8KmU-QR?crOR;kp>*C+qj7I`3dlAgU8V}>~^F6O-a@piwv>6L`1MfZ{hHX{X z;cXIjFEK90UUOuB93~6|7j!DWPYVi40ww!p(n-^Gb%o?u*%Wi@@P9ZMUAeQZ4eFX|^F4UbsamT5^8D-yXbjV1Rrk+`d8MN0+u`HE( zP_G|nFZ`)#td{%wkg+^W%J_dIo0L3q9v>=(2 zW&?mE?L%RiQ>#&;pQlb~ReXV!VN$>RxV4i3x9z@rT^GkcU@LhjJY)p$A(mwiT(?lW zV|@$_+-NrRS(?TJL*p_pF|F2Zx+zPN(?d?$V{4|W$m@00wYAqyop(z$c{iQTNPOF} z8zNGH^w@}@)hlq55!H>;K{kVt$+t;9LFBI^fhXVaJ1u{laelY%)ZMhIBK$&qTa-Gd z{c}%HR_~5b#k#XX=$dt4B`wSg(K^;~fNn%fLx-%dHp6cVq2?F%NVxDRR9RTrt06E7*r4bkULQ4& zgsop4%J+gC&7qznCCG=aJD?{tYh}s?;4-SJYQZec_Xz#wPx7S z{6=|?r?#f7;jOlJUwb7k%3S{^tY{d-<}G}Q`3UAA;hDSTx{&2!l;qM@npJ0uDijEh z0U?XA#TU>Zy_5wX_I+8QZ2uWrP#5(#d^Avf_sI?5{3@OqO(JgvYi}r>2uOe-$qF3~ScWp+6 z$X`C0ATk@m(f%BaH-@t(0eb1~!pGyqvBXD+8U)cFS{d)aP0muYJV6y`Qs!)$=Vdxp z>ozL~;l8d%NtC%Zo$pJ+dII2|iiOnk|Det+={o)5Fj@jhZC$xPnAl!}t{@}9H%kYe zB8UGM$NQXoEDe-JHdw%Uer-pr@BcQ-G=UQ?Vn5^9e1-oJ$oHrI;uvTEyIMH;@^ zP;-T^ogS+g6KKlm{km>v+`CCTcO!v6CL`v8d>2Ug^N_(%Ye+$~8UE1l&|MAfBR_D2 zM;AtYD5YC9Rq^gE&FMVu{HN36Yjh=U_P+YZV-n47!&S`2GCe^b!WgbfA&Q~_hBx3O zOE88^<53+oK!Q?D{UBiA@aC2esi8_da&4+FVe933Q)}sx&zm8&_FwT#;c)VJhX!aB z=7EkfPNE%#-KuDMacmjSyEV1a2e;>>kh}vtp6v?lNWvYmuc+Ho)Y;_EK%fS?+52hO zm_RI~_@(eVW?#EBa@Y5MVe-(#MO5bbecScMYF3iZ_U{rjcmmTtE&I4fe7im$Ku&1T z3#<$2(IY{JKujwM7sZxp{)pap+np9RHZyg0xb(q^>!M>v-)JWDUk*BTnoG+6{y)Ks zIs9CM5f`fveSoUiN1uka&=$pq=dP7|lIW0m8RYt5!<1$*WhQntVK5`2e(Q;kB3FcL zUUjd2x$$TYw1yB?iBA#C3DLeCksA??O^_4ZCzNodM1&x`M}flB|ib*CGi zmpn}Tr8A!FIr&iJ?ahC*G}3UUAmZ#O7`4f82LNaX6y(TygSKKtPHd_x)J6`?tOOjD zI5YV8)8T2poujL>RB(SlicJFh$pB>7bgSQ^B}cH=VUz2`(ll!L9Du^UQzxh^@xr;0 znclRstzl_*Qq1>EJA6(x-!mWV@@ziHqU6E*wjtxo4Nx35;}CA;&B6`GHLX-V;EMTSQENzz;x z$*$oz71s-13h1M#lFJH30YeszJ_?PV@Kcz7q$QwMyOHtm>e3>rX_vl7G~!Cxa*6&z zTSJ`v&wQq82rs*v&&f>2Pt7JEV|VJrksFr+bLNm;iG=afAdy1RYR8t_(@Qgbh%Wjn z0yb>XqYvOWB7Aaq^-_BpjxKWEFf6@!*ZRj#IKglX2W*7V!fdS?`!f5@9AXUV+2c6V zHM{a-l{V|=5fV(8*0}xc^`;+t2M;Z=8zV)l4R6`q!`P3ugCYRZI+x&L-&IDPY99ls z6JL~koZ~mWt=>=XOuhS@mysfGCc3pudhI^pH}60NdHx$9t#WXH*{dG}cyccIKRJx7 zg`a=%7=Tl#75+eeOitAZ1oW-0(f=L@WR4|zah z8mjCBRcXFR0=Cv$>`=S(2BKy5v#$lpG)-or>wUzwlwe#0f{VSEDGdD}YY=V|2Y|GO zOBD^@p-~PXkY}+gX7JHWUa{Ifl-kLf4Lzab53dB7y^Xseutxd^sJQ$*(Gj}M<^@1h z=^G;uJ9%>m@dI92Iz9$ zlOgI6vli@T&-;K&`2Z|uFa+IAOVm$BuS53@}`=*YkJ;Jmr*%zT95y<>*qNJ9uuzeO{Ruf~flHqCT!mu?-nVJQSyA9oE^t?PVOxS2gja&Oa&etiU9}xuizkuErzGyKpj}(7soTx zv%fe<|M($?v5*R$nc*7^rdoE^vXf`*M@6WK%-tR&dkQC6BTV1*84dYI+3A7S*~HFs z7CQlM;?2y<`SM<^^jK71gt5A9W^EStd+e?<3@A6QGQgh>MqP(W=u5Lu2+Zf8g^l~Nr2P^ zNFXhGDn%X=dL5BqG8GpmWcg3{;v}4U-fFU@8?c{$P&eqIP!NsN8S&sQz=CPLINODSO7o_iOj~ysB|2KT$(dRerPSrH;yIL+;U8 z!t$BF!h&!W23s`RK9q5Wnp#U7h^x6%n;sY|Z$@uyOE%=+d#_3>TJBn;p0ca9`wZk+ zf*Ho|$R4>$on00T_Qw`a$CmhA9Bnx`=`!ObyzSy>ZmJ0wZ6YG)Y$_RF@cQsSrMKvN zoVwsrCD`j~@V5l3)*_X%sBw%$W8;`1imjM%WLZZ$T_LRV2EY4f2RTpa_tMJCtrA@; z1kfn^*Gr(H(S;KPf)zL!$ZMhP?!vOh>*L;mmHlZZ(DcrXTa7NxH|nbnS;CdI%Dae9 zj+{UK&k^QR?3HHDP8sDt*e6B@A!MuQx@C!%9ZsSo;Gxfb&7&jf3lD`9oNw3FpF6t5 zNB^j21VWT>cZ}#)B+Sh_-q@9D+B&7d-|2g6?Nd(?D&!q6d+eB8i%H1%aw|28WVP%= z+-#C#7-Cxu(8qJW2@l*h@YGMFNcq1e6pss6cdWhA+Ypw&Wv*pVS-}5(*?cp>3x%A+ zcC7MZ+w@*};;2??CQQA#=71$veyYnrmy?8cJnY>2xJOQJZC?4PJiUAe9+_LJ(=vO zHWMOFs(g}MAGv#tS-9nK(vBOuQPrTkQzJp_q zgZmJe3pk5iy9E?SS&5)oFE`yi2>!cK;bgd?PqSX2jcJW@UHKq4hhqy)n_AMW)7pO` znTmJPuv1#0c^#WZSG`1Mzg!#-na6A(+PwQd_>U;Nuf?37k!tg%bQi@S7it!O=q&br z2X*;dn~2Rq4((i-NUoP(u#H7t%!Y4|OI2cH!5@hBFGdqV4EZBI{(c#^`8Z&eE!%AM z=j^A|>%U}x*NX6)7hzT)pwwfkAA8^hYg@tgYDNk3d@oP_e6<_)n+lC~= zM`DrYa*xkkbr_vEU9r_`yzL0$`fONXsWSu`;u-#mxup0@i!%qt12tmrh>0~c(_#*z zH$PwPnc8iA^5ILjn8PWD2L)}9|0$2~m)iFoL?uWE2QhR!fA&8{R%3w!lc;7#c)z-y z0yQ#tZQAWV22a^rg+m#Cjsq~}ufMbYPaegK|Nm$d_i2yVJA^&6F{A$MHf*I{nodEDrSI?lnf2nzv+Q68F#Jwj>DiOo#~0cq0;~uOdOURlv|N`>f*y$FDDM~T z5rR#k<&$oJ1C^|`5MARtX-GwsTN#~kPA4A?^w+( zqG)?Jo){*w0J85i5=o(zD;5%egsteHv^GfhJ~_2@-s0So&vnpf1(5&tePRNB7HKv{ zMtV>+&`KD%oQ9U7If^n(Bx~b*&9Lva1o6j7@0SZ@lOE`{G08eJp}b!M?C0@aFi})3 zNUMf%qJU&&4%LY?gV*amD%X}JPJ1#Q_o3QfJ8R!)X_=baNI=GfE#1YTDNRqe=c;|* zgW?kkaWA^_Cz&F{SWiDlb)g%`sYw{#rtLs-TT$iO8Y&^pDbm>@9}n-)+qXk^$M34G zGZwmcZ_~P>4Y?5^F)DEkamqWKRe-o&7KN)oEU%Ig1P@YEngwx|6S})#KYG4PP=2jj zNL29Tt9wHRmv;+sf05XGH4(_t-~?MV96{9x;f91%1`-UhB*ZQ+I5+xa655$@w!~kL zzWU(msCrd&X=%1VY+vj?x_7~RlGcF)dnNhm&`IJdFQy+M!scZ^QO=h>T$>B>J@HrmD>#!CR&rwOWzegmQ~bd|z%5HOU}*>UaWpfj{f zqu=qnjBg)(uNmuLS=|)=?z-Ggg&4i}SXp(fVa! zXe(;IapHOC5Xox0SDu=8yQ#S-UGa-Ver*clg!V9$-)oV!iyP{Mv9e z$VBYi6Odh!nilJtIShr)h4}48X^}qb|>Avf`KrLbAPPl!vu5uYiZbi>m8LmB{in7Et2Xovd=4g5Pww z!xVco3nUUm9HQRir~%SipRlcmN=hiDgc(x^PgF<ml~%=k8Gm` z2kp&FQ$qV6xt=o*=5=w7EMa&5F@k0{rWaR{NXZpz3n?Rrwb#s6)?|dza)`PaCEEih zO9KrAjIPp-W>y}wU=*YiXhMqZ;f7h}{O`YR`59`0xsGz9XMRL@!Q=3i_RASmInrav zfwn*9(!SrwlBY89LcV?-GY4C$>MGvsnt7UU?(0jTkQ-9Xu6o$W^{DV%&j|p9xf=sv zxGJUPcm_X&BLl@r4$WR@v_P%U zpUSU~YIeNXZ@xp5Qxuu@9S`tl8^MDqI@<{^@5Ch-g4lKkz7t=;!o@Sq=Qdm9y@k55 zrJW>+@3cD`LM}SJE485&r&3;@v6eKs6`T0%$AAz7Mout=#E5$LnjC06uFZZs*s~3O z4+1RjFfN2-o)XX>?h@PO2&=MceucWS|KUL0eId@IL&xCNcbf>gEl+M6MO_vcT|7qd z^zpxSIl+O$!1~pW&%2**ZFS;&F7t#0Xp4SRr#9#ttPDI6>xI|>%0T>?Xs42|x34QX zO5TtDzO-39$t3PRUR$N`MvU`tpPSMGd>a!E+Io$_703aS^$5_r%@bb@k3xvCg`lVl zAeR;1WJC6`a*aAOqFqnfCi(u>qSk=6=9zI%kcTrGpHFhyhMr{{#C*hPL4cdKjR2X< z!TC`&!|gQ)5roe#4k5_6L!bWgw&5;gPxbPWX@yElKlxjo^w?OZkULl16^~qXj-Px1 zn{=cO5JKp!G_kkfh|P5`kI&&EL^1N?Mw*L`pGz}?3ZW-eQ>fJV(o(-CT{MFQ;w^~Y#_8rSE~ zk6b>T9&A69F05)MvaPuI;KhY!ta?!CQiZ=6U`4g;1I0WQ9ge$MWehhI4#|3@GcYMP zhis$Bb>Nm{ho#$wkEH*2C&-b9z1FUCQ zVmA#z7o&+$DyarUdHttg>}?Y|crH;Gdi*UtAs(BfI_o!VVeAu-c(aW2^?bHwm0z6- z?H$tu)B}&QduD69JMho}u~rRXrhW_6v;)cE`3CLs(MTSZw|c@w(M9xtNlTGW2vf!}df6iT%__gPyWfoz)j<(Hn=)j9l{+)C zd{y-QzT{`w=I1}1jWIV+I$^G)z2&DCL!XJPVZ8vTdUh)lUGZ^#h)C-W4*>Q%&*Jct z64A9Gm1N$V9JjJ9bMHxX-PE^tcU1w~4q}zZ0nDwS9D0C=WNAB&SD)KrvitWRS2)8L z+b;|Lj`#vgxx29g)LJ(JsmO-7`BNz5XZZSDev&syyFx-6o}Zu{WxN{48VNLi1l zNMctGP3+=epxQZyr@9qckL zJcq&91dXQ&_(`kj49j+l&-Cxxa$)B!^KWq;I_q|6)P>`$e1!J^4}023qcL*070dTM z-q;*68b2e;o*2=&El~ZXg3oOOCS>AqP5-@8);S4<+G`wN(MX2xVn`YY*+VJ}jm#rrKI@#JRP`vfFA_%q9(|~HWRlFTu2D5K5 zJ++cJD{A4vomo6_M3?5`$Zs6%^SOJ=!B05_33hAD=Bc9ZNZ^cVOF&P^1n{wBSlLFZ z-^vN7j4mupyV=PpL42EakH1cX*87J>Br~h0MU&1uN49)HQ~|l`46@%cxfJpviNzx> zPg}O|L*ZRN{UVXwg=8~(hl&tJRb>_a(MiS;zY2513`=U%8-w`(VnMK<0ZR$);~}+rJ~!@V{6jTC$qQv4_nJUIknlx z<^$yvLRuSc>kYim>^->5%XlMhZ_z9bzX$0ck+8fPfZg3(b^neTMWW6rNnUM>-9Ckj zlOhU&{czrw?16(o$C8SiP1u-~Z1N)`cTQi&SI$15VD@wpu_Df%V&*y1pR5$tyKj5- z9ONxH9{#!R#D`wSeZFJxY*&tED7paUtAdX)k{+zebeVWoti9)&%ZV8UGKZB~bEDba z`ArMxN7;cti~&%Kdy48~6K8+=SC@es6Q+Z{0WCnzJn zc!G)%mI6vLI!M-Az>AOazW`K5k8-xMW$-k=m>)$hdKN>=pBqQ2rM`{rSMwpCShJ8T z-y&#hA*#f&)zSqBo6eQus=GS|?!$MnC71@)tOrKAXb&nE!+9x7y$V9i)&KCTnx5?A znNZbm;GUqw#f_^!_~Pch`>J@lJ7)c>C8*K@HZJFJuyiTRv#e}w_;$4Ts5SzI7NY6Y zJb5+k!s~Q?TqKohAvam&H8$|Yq2}FLG_nz49obJ5AB&ZM)S?<1dh&tV}QCwjt|;cW(*J!!P3 z4%$M_ltJu)*2taq`UxdD+IDQ|Cps!~+VRH|f5y@o-XagyFx~#FcGvsBEEeqrKyVOV zvjSuG9R!pMisn7UMI&9N^G6I9T5XiAj7l^g`LREs?wr#%eT8RrEhDA5$(L&@YaR-I zvC>{M;rBA*ns<$y{Ud4lL$)(?Gp7X?*Z|%*p<_H_z(2Kx(CQc4_OAf>}8O(uEt*}u)_MWqs zX+N@XBm>W@RC2@}74++QLXzAgqidgnePR12m=F{Us(5f#F?Oy11LF9w=V%*Nff2j{ zy7gg}2>4Rd)Fn%rd*)bW;Xr}Q(W-{&&gZwZ2b(CUZ~R=h1>P`Dk`#Npw$uW3_rrc| zKtYWR0}io|j=~BuMIZ&**}hhc{MdNM%&D^1#g$V|eT9>bQn!Uqrnt0z?o|CcESGxi zUTOPJLFxcWFC23aeHb{5&ax=|c}HASlXbS^;!n}sop)RuKDAXED=$3P_ANH5hByJ7 z(FM;M$^>zCm?gU%2w=};ff5Td^ac7jb(Z2m!#xmmFOPpQfEn7x=C+xH{gNB|Xgzyt1RDLrFZz-jWf78Ez0;wg&S6 zPP0mMGWDf$=KOeOymV_SsOl@$+iPl64<1Xo6Rl6f>(nw1p%IUWR?7fu;&v|GedMy3 zZ*H+Fyd<_)H9ev5rXgdh$N!$BQ?x?T{Ro$-3tZt~2deg-kcH z1`qQTE5^{9nq|e6Vdkeu^R3REF6kfbz}&2{dgFX%TQqNsz1`l|pHBEka|O)S22l)N zVgPzy?IUFyf|$e#!Cn*4Vo8c~`9WmG*7CO4lEiNv%8KD^}a<*Oda_lfnts~{#vA2J`6bHx7pA}8sBuk4njC6+ckfHEv zD2AkHl4v$4IqB=6+KREct$m0?t1dP9)Rsk5X^0&ys%r^J;4`J_KB9W{E)jpsM*6P& zNR&ZD=Oly(SSm(eDtF?P2(~jLm}>FtXgqkzzp>^8Oo|nczfraWGmfuBFtxv9gqo<4 zj~f;qs;b`zoOZ9AC={U4E)jLSlq+?C?w?SW!svXhE%6OJBN7`d))WxNp7Ulm)VK3 zV>Htk{M>9}oRJvSq-ogO@kxG{w~MUQr89|viuI&z(e~0S>K9;l+gMcs0|0!?O(G*2 z#M&naG?T4J6H`Qu-&B&~6#a1V6Urjy+cSHx%(m)ausMQ=Z+KRF86irXa^d)8tC(OJ|JT)~4!+BgfQ6Dwu8MI9YN zHKp(b(b~Hj)N`oJ**%=*gOAJ^JN?u;o4cQ?t13L(IE7d!AOwrQ0%5l-3QM-_j?qTS zFs*5U3lGpY=s4hQ{oFzvX>Q+xQF96uCb26vmB`JAE3ssDy22L0|kZwc7i(l(;?43ISc!)21$xyrwNnm*4gGUIPyy{-}4*pg0+dr67C8r z=m7|f9~xRP{P4>rg-p$H-*#mE&{CyTym5thAV`DlP77Pq)GM zO+VR?gceuXcAOv`zx<&L@k6DitlaQjN0^-Ks!CG*f()2?l+prFd#hcO3Yd6vyOz}? z3wijIVFvn(6ac75MC*~>mFYEt)cy{C?E3*2Vkg{X;Io}#V;psE!NTqX%RL@ePWZnPfNXKAz?_HNlT zeC18$aMeU9cdl;yW$7K|C6tkS=KlMoeCAS2Zw?Iz;mQN<=Xbs!B<`H*QnTwfY8NVu zKN-T^$q`r3#dG%P{;i);LERwCaE0GP$bb$9*cj-W&05rmW*b=Xd%CKM-8uBF{A|Ef z5#6UH#JT=LbwKO=3pE%F_sTl`4)C~m8MMSlrW3;iy{D4O6SunWN%g??i>Q>Nu4+d* zJ`@xMOUm{)=p>vt5ue+;UJGJs=)fxT`M@&hNbuN?{UI^-m2?7BWRdH zQB*!+L_h9+%K?b9qd_MzhEnF6zBr?%zi8oI(@WO|_v>R8@F&~(mZwN!BAZ1TP#GQFpxiwcjhXZzr z^%RsfFmkM1j4s5}iWg*Bgiu3HzZtq=2q%TwLC8-N(9_WJz}OJJ#?EJ}YI9q={hz;2 zc9D8`0jF-3GY$N-7xNetMT65(<2ruPZ2b{K^TKa<3C!NF<%@(D53Lk(qhbS{R4!Z= zk`+j$p1h}Au!WnW1U`wQt2DCGt60~1H3)bTHV)96PgD>bpFPMjzzz562VR0)Y!tkd|c8c+@Q z($kM8pSn>@VLPb%=K7S??I#pf?L2l6JNF#Ec1;HCVqGHpxo^=Y6%cU$_PcOp;N4wd zRMTG^=B5MxG8zwv;IA4z_(KZ+uRrSuf-(I)>oL}C>8R2Fn~RXt(<*mB*5Ixs$xq+wVijnClM7* zh!;>cUq&Ndc}3#$8u^q$P3P_e|3T|Sub<;U6?2+lfEm;s6UA1+-db@%i+c{thpKCc zLyp5XPP$3^?>uzwB5Ahn7OML&m=)G?lU0MboH&sNhCp|d{D7g~j(5XHWQov3GwB-3 ztdMpr46qNUkec-EuhteKxdNu88gz#=OM6lB_T1ipqztIVb7}09fh^MOrotg09!)A^ zXCx!($+QKgkO#eZJOD1qbfUTRLiuf_{Y0!3%1bTCWIP~q@>7zRD6c@dU@I2ex(XA1eX8p$?OqvDvi83x}ZYcg)p2?=Shz3z%McNV|9IoKl|Cn3G-xE)9M zSaplo0I*CW&@^};zp!=C)sD&cxjt?$85A*fYD6i9qc_qnLEwFX#Gr*>TtnP^%);jZ zYL;*0Qds^V38CKMUe6_qNHxd>ytD5D$PvZFq z3Ok2C@fB$2aeokX7|4oA-j;Al(ZqrK=U{mEEcLXC6+yTYUTvA!f!O7Q+URnXv4nN# z|Hx}3)wK-fzwlGveP7y`yY2nEL0L^Ltpj%Q<3mX5dt9X-OKKJbB-BThzc|PN*mg}! zKmNNPh6iLd&w_W0AM6A0SVx1&jbtW;XzW5PtcZa_H45@#pu=E?p*48@a7d1!=nAm3 zz>jDjjL4$o*_V0FD64Za`$pUtd#H~n=TvLM9FpPvNfi4n7AY@;U3faJz%UjIWIUpB z1Yd#cK<;v!VH#zetr(uCzP~G4v<-f>Dn%)b<4S~!^%+49k^60AomIsD^l>E-(b&1i zk^uAaF|Eg14xn;6(sB1QbEy|F+T(`SB~#aLS6x%AuMLBG!^oGFm2M8bxVC*!Jp3*C z8Vj(*<{lubV4ck&WL#&wX=ekNZ)|z1a>?-tz5~8zvUs^bkRy_?ayZ+>WJkfng4bZA zv&au*d;nmbDS5Q}Nqs{I7|D9#xV7Pe-s4G**VA{F`@EWRMGhSD=ReoJ7bf@4ElIXO zq4(gqJL!Lb=4Xg&vp@ClAYdUXdHmw&`ud*-=jgwloB4MEI7m(;GL|}Z;$vW@m02QD zAR*tIy0U6A!URL=UMaqm*K~c;7?Dcyc=pmpu1_xQ6C>8|1|80c(E@M|c$a|G^;NrfJjJo;2NS$lETScPv4qf1iMjQu1MZX;u z02_N4Aix@IhCqJ-uK|LsXR02;9Klm1uxrPcn?S7*SBGSZ*@NB$oDOEfNC%w$)0mko z-ZzjR;{pnAOB0RATeMyjZE#7=A%!YxRGYrPeR!Av(@A<>7&>L865fBiMQI2-m&n#{ z7*qsq0SlV*UQpS!?nU1kJYtMg(8orWjix;Hot^r0a!2QroR?FzFICDF$|W6_ZK(y? zE?0pb)z=v&fV>Yf!L~}}uq7VReLx>X2oUrWx`SoNL>L)}c3o&Y|Vkkc(x+C)Lu7`^{W zy(RGieiin#x0vyCt12{L3ARN80%!h1IF+;GXKJoeM3WwPJrkgc3JO`(b!qm|9m%uP zE^oj2hukcE-39_VpWdCfxI%eI&3tTL%ADohzP1^?K_h{$Kl5@+056N+o9~@_+&{3O z|8uaef7hJW2X=tL6^_Q>!h1pdKW2Y_*INttev4lmThe}U$jkI~z&05mC*?34x*}uRgNHDS_1Z~e5!Sp8Uq&;@a{Bb%g^{_(h-%bYr4Vs=7F@v_nYgDUrKF` zQKOiGD(%Q^I^m;s2fICCYHJUSj9caXVLkxL{90Ma3@OcgLQ{WE7$@ z95Xt^epaP=*5x+1eo`6WKmB2)P&hk!&npfCQ6uksh?BkD$Bm(}G+X|pD^oF-I^L09 z)sR<6EV;Yd@iU1L@JM22QDTK)PPwL8Y5v7nR+p~!JjHt%4qdaFtYycqf}|W|4r)}i z2E>2ErYs;Q!%1mOp)&f>kG@ri`z=RC)Uw!z-SDG<8#M090_V={m-#h<3RH(T53PnK zMG59@C>PaNf(EG?Bt?OmMuJlk8M^FY>~^DlUkM;J73DxX$yOZtu|H7dz(SPGV0xRJ zFQ#3#QKf}$r+lzUI-Ozh+cix5{T+_np8b;hi{oA&m}doZC-E>@ZQzhL;F(pMt0XXK z4^kYU$f;)pGmbHho5#N|*@oSoi$6VX7rN`yz8Qi3=QmZwJ|nmBJ$b?@Tk$$c;2f(K z;hT65D~xydlL2B^T4Vvlh0!MWxp?I9D*gDHmu`L@3ZswTn99{o%qwu3X^NP0+!P2^ z`Zs3of}sr+K|e{=iz;P0k&zGJ0^dWG+cb0;Hlv1!%YJ^o&$_I9 zH6E1m;Xt4AE0B--+z4RA+R*^acIXI08Vz`;I5L>6g4ltP^!_PY=2fe2SDkZRKXf#A zS)jLXclk^6T?xhq_9jGDVw6z^bTC)#g;ES#2eKlHJ<#q^5Hu}7;jD(1_XfjG+GpB2 zB)an`{=I?J!V|%ll}E8ek<8jaINLObErS4A)?AgdrcRjg#=Q$O%$wtNzMr&HdG_~vCtbg~ejbR^fsgCqsi1MPF+?oY z1<7^Q@L4T--vf?ybvMWfxZbU4h(gr4DPNTHfnb3;>{`)}oQ%GRxK zUqD_+Gc264%u!jvH=&wLtP(`6?59TB4>M{%M_gblc)R8}ZQck({&hqDUmv7#kN*e! zm{$KQ`pMFvP0<0Q2n)arVYgSW-bacX9r#nH-r!QhjWoOW$5EKUtI1~z=6nL}w+ud$ zQhuM`+9JRnKvIue-NWq;0MrSA?C~5LPo##)mnfr3GF-~5hCaSULKIms>)g*-5vgF& zH6_Jg=YHO3=HGyyQg0GI41a0%-psBvl32IKcBU-#+I{|_-GqghW$kAD{ymk|XU2Ct zzF>#-X$Ylk=1QR^N89v_Pzgv!I5W<-g>D7 zZLO(B+4@KqT9j?zxkd4intX->cL!=ii39@x_nTV=u&q7Mr19y;I=pgsJPpk~G622@>xZ9I=|XM;0xmEC=0(QYoY!C;MCF@Wb{pPG*VE_KNy~l?+rEPm z@>{aZKv|ix!B9Zy%>l8NeI%<`__dLMvK`;Xg6P2i*sp%J6sfxYt^ShoguC3{B>z^O z3HBho5)a-x8#BPx9}DoipS829sfv0hUnh6EEK*G_RpR`Ro&Bkct#;eCZa=c^sx{c^ z4}fdOt_3<-Vh&>%Zj}DY+G;D|>UdC)t9Vt4LvD!Kv&_jHg{LXz^7D@#nW_h}Ueav7 zd}cd1jsvYK;xa^Lxz$#+-)3mc7xncGOc7i+)~g$KVcWYw^AhZ*Dt^;<5y4C}Wg24X zp#GQ*09EQr4(Rj#@#){>0RGL+xIF)pCzcuivnxioG7P-oR8#Dv9uj&&Dw|xe!L{qB zby6<>Kt9wPtAJ7*0#(LBqO@`>n+Uo~h3^=M$GhvgbW4wDgu?+jX)X$1xj=yzVaAc$ zf8cg|A_bYpRqzkd=h?cn<`F{8=J{(Duj=YiD{h*mQsSTOtdjUIU1@m)mhEk$Ewyh3Ys^{n&hd+EV`PF}L`y6NlxJ zwlgZC3P|nFpnqDN(OFlXhFnwywpagNQoH`x%(dD>oRKmr1v)%^Hq}Ka;!?qvR z@&3)@|Go18jd{TBEMNY`VFH3hwP{n3Ui}InZz8C5es{pGO^;wVWg7oYIPu>JiRQsb z!~u#20|BHQZnqA9?b)qzreBFBSu@O0ZxQkR{)A8RyRPqylp<>$=0d((UNuVA=L z9+>}EXc@>9)Jm{}KX6;nYSb@L!5VQs#FSODj}%HSDn55=x0>YE3r}p~$jY$GNI=B+ zEzdHZ5tZQ2%15SN*ev1urV?7@H1nf=ZPUjH)QcS}xz6Un3AfID@fA7Z$EiVpKjx4;=e>Yl8c0I z>D9$4uWY*YuUvd#f5u!$26ni0E}Z~%GF-5&M=%JqJdNjVS!|18;zeqHOh9l|Nr+jf zm|cW#iNc8#la~Fq!^-~k5*GuvN&W!A?f)#!#U|oKv2&@2s@mns0(KWd#Lx$SJN*L02PMKUm&HW2x5oiJJXm``L%?fn=YdK>?MA z)i{3p-n*z)GuUYWFPs|;`yoU<`JNyJ$UK{m=nz&4(Np(mXB^z#N)jTR#a#bGnvGa~5 zkb=)kZ9J1pF@H9ldF-0U6|48RZQ9sJz|Px47Hq+0xiesZGd_|jR+{PEn#EUNK6-UX z`>3&|rlsGO+HX>)zlghJNnN?nDs3X{H~b%gna7`#(SZXHg1EYT2n+~m8f0?LVITbb zJd@>*_0IX0?*2Zt`*26BWXf~ehrb6f@ZVz3-wYG^H#1WYn5k$ZR;1w`k^zDTYHWq` zR+S*FIT?u4BURIyd>O^hVd_ff1|D_y!nFTBM+J<-Ujs!Hj1tUnU=PghHqt|j)3Eo^ zSUSa^4Wq1=wYQGl+Zen2hLzX3K}k{Y*u0!XI2MfpasMU z#zR0(#D3j@i?mqdB1g}kdzucpcG8=V-Z@in&#W#;{L-mCQMX-v{iKPP6e#Xz#}j(( zA+pcsS*+Zb!(BK@)iA7MVbslqTxwf(5dF>P(GjmtV=Wo3V|TM^e}9MnTCi)Y+Oh@H zE18-boZ~smg^_V~^?V;&;Al+j<4GN9SUE2Ha4jP3iv*`!vTNFZMo7bqf2}X{3ol`* z=1z%(U6|4H%=5H-rc&Rln#V1Bky6m8Ljb*A%<`(N@aBn$58JYiS!wJ=*Kyc;BPc2W z==apKvef|55wv&+qmNfp1F}TIJFpW!TfPs@eDfuY_pLQ$^M5UC%A>_`x5_pfcm3iJ zKwN=G`aAa1moU1OT8pz?!o^5#om|4L*4fK>u!-HvS-OuC|U1{6f%{NB$b_z zBwGw2Q-&#P)+s`WDGDVf`$6>-&*%OAaQY}K#I7HH`VSo|>TrH=GoI?jewF9op0gDF%;GJOvPC6f`2VN8c zg&C1hx>;}SK2oJ0ajUy!xdcA+^D4M=sioI+-k3<3u(OUH)e6%`)Cvm?PP2R9VA`b% zZKVyyhdP`a{5o?zpa575&HD(35bHjU6S4|1D~cBP@?5eQ6mrv)oxPi5^|m4IiKYCD ze=PT)A?mv{%rJoZ(LgQ{O;3PslfQCA!?x+{hCs{HU!i_X^QkSrBmJhMw>?=N?Ja&J zt2LuF20#6y0)YGY4>yH>Xw5PuY3u1p;K+PYCkM2Z5rrs+!R$d4KQbkgpC%=mR`pgb zKdBC>$G=DVfj0D7ocQV`EXJOaii&lDr!KBN0hp%um`6F?M%%x z*R_n6MI7o^79McH5hPmoxN(t){E3|H9O&C?7(k0b9=x!MW4X7V{RZw}lQDw-*@Lg$5U zP}2FOkn8EPkly3Do96u&W^cA)sAEQ;&mr}Uh1Jt|4qByl#QDvIvH5I0KX?O-B_|#E zx1*j-?6RU2YuC1BMay%1|N4e7{;na{`^WbRd5770{@)5`EII6v7X0!lr>`7yEeo6j-yjj2lw*DX?lchdATz@SXigGK52oh;o}&7i?$L;15k5f55Z zWnY|(dMJ;(3jTB?#ApO?bo6M-Iq+33N`sZD#t+aTQDKV zEK1bgA71c$Vm0!JXU1_5uSulZ@&nS|JK&Sw>LfZSM}~NCcLGwS=RB>H;95IW>w%jX zJ?6MQGuI8pEmx4#dAf)0B+Z{Jc749$6rA(~RvfTk$N+_~24!t?#tx*B5p`4C6j9vO z;-=^4G)xR4{p8E#!ktO);-}RH)R@OPOc5~E&Mmbo*yCRA4uE@Ec>U320>2QuJy^7& zjHVi|tfZ#wdx{pDGQ^hZwQsde&#<(yh}eSTIlgQ8;x&wHN0#?<*~C_q2e4bIv|KQ< z5|ragH5Q!6s-bLQn#C)IHuLx^YB|o+kutlpzii~OC`S6J+x}w*JY8{*oxIv2;?0G& zilhT&^TLkS&`Ho2XR2b0!)7$uzFqYe%DuX+853S7Pc!~}lRqj;v`1J0vFqgxIfmMs z3V|2NHN4UBW~K7{w@{{F&&)xmnYKT`tBep!g6eS82#NzitIddl;PV(jV$4d6#JzS5 zWLJey);S*5i=3C$?^wJ-tP0ykII0s#)mRv19G%5iM26rm_YinU0pXvI$WU-i3#QF= z>)xWYD5*G{^5ucak#Xyf0__MXM}p)N@7|iM;^Or?n(t%3QO-%WfZ9n01sO{AN+->h z&Y4Jp1}7Rm%+@qXTbE=}tWiWT&TA$j#|_=KxrX`NaBw?|@fLY#N{a-@Cktqp%`L#t z4jvM-F=-kz;X^4wL4_ZJ6^k*gV*Qit{?A(6V~6hewZywp4(5l-G5G@F))u_D4#wE%`q-pA;qkz=q4;d(E?P|Z`^p=73h1qxm>-&)Ie``+xDiTw zUO)#<56MPrZPzD9-_UrZ-cme%Y+G!j^Dd1_u4KggE8y&@&_E7^pcg}W3@f)u9#B|? z(-Xc8@Oyx52v)4Ett}~ftM)-{r98>YZ_dx!Lf$A!zL_Azpo1by;-|HgrLz5n%1_*4y30h{CfEw z?~4ZE^;y*61scNxWy30|+s|%?Z30Xpuys|CA_dK5J6HX_g0^c~ka6nmLfpH=`e(T_ z3wyoH?pSTGh&P#Rzi&FThGUA9&|4~@^^BA3UV8~vqBchwdcKFIYS)W0cM7D5E)Xq? z`#n8XTs#ii9YLe|Ok{6AH8W=sJg->~kKmnEM@{I-&=H_Ue5|Kvcau9e(YMiLL1@5- z9Ho7PFOHJm8K>XIfEju4UeHy+3Om%jPJEYCTW2}Lcso@MC<{I4gOT)OtWuDgm>UTe zQz-(Z`^RZ#@MNC6T90Sy<*A#B91)jgYMq`$@C%Mb!LJue)r}WwY~?=1~aUb z>r?9$#m}vrNUKw3h2yWnw}Lt~U5S=amqG0lqWe`;N^6EQ-SV!`4NG;O3S87rV!Y*8 z9ZhMMWj=rfmw=w)kxn)@8qiJJEYanuV$ImFwa5l#tqXOD^*V5TCKJLnfw|OgQech; zVJ-(#ECtkxl}xoM>Z{h-_sotR-EPDNiS%+@v+9`bl30Rwws`NvmB4d$u75%wAPRG0HJP9a7(7jmq;cjq1EN{w>!IwqGzCdlA zQg_$`2tLZXo!5>YkzYRzfYlC-iYB8(dH^fF zmYguI$A%Wn&mOxosb=52%u z_4*9p>;kA$Kq~IByI~vHyO_H?#ZJ&7n@r+##Ax&~GQZeFmut~Si4*Y%Kdq=o(E(+t z_68=u>M2aGTbI;ifycm|_~VIEb!x~I`b!!-y3}DE#3quG3rO(reNf=JbW;<)33tx! z6zfdNN#!?*T-jx2;WA?q$98^_J>Yp~J&c^o6b_|i1rK1?!(Cv6^<kW~a;D8yznfl10x+uCKis+>WK5br50?Lh3D z1Oj3FOp{^e9vV+W!pCcE6q8M3BWPDW&%BA|@k2G4{o_iz)U5iyoJ?~Pil(AN(9|;+ zNWLu$Wy#n9bg(>ydS;6*Js`;U3@s=pky2pcLQ}e#lc1zh_P#pB#3EtMPa}i)8CCMIo3*d>zcaPK(`K-RHMO#uD2M zABB4+yqSABU+Uo!s}_tN4e2jz+e4H|PKKGUO_E)H`8fq@*hOdo zkghe+N#CqyD!zns-VJn_a$liY*7w9nOVQwWRHtc$IcY(xoO@`w{x+{ELpSZw(1o2- z<{0tu)%wqfc)+U+ivf8@&V@djB?a43iGq1haTLrv$m?_Gd{M&*O>`Dozd@*YbuAxV zyIFs{tlfOm)lk7IPC1TEGXOU#4|>Vaqhn;TMl7L?9s;R9vSIFnQeL=L2iHhP<#(w( zBRS@KifU+_rrp6&_+`(H-#ETI>IsWT5WYMDy=9z79cASNO9uDbZ((IJw~#Xonqb_@ z>Ig0Suuy|v1~3Dn5^N=iq{cm z*Q3kMRFKj!+(=1F>Izd%=RmKz(KCd$b#eq>ROYX=Eo|&_NY{Sw#n2=x>{n|O z>8Dp0q^`*Z`{%20C&Pkn9l}6+OcpAhqJ)8&@n?6yOB})-OhC~R25K~(ludO*N(is3 zpI>PX+S;xr=s62@swMPz-?_u-)JyoF{=vEVHK%}@n4-#sg z6ofJ!L4junz9?$l_6$(R#i%*k8J$V~xcPEgH)XGR_T4OO+6mct*)K#MJShc6J%<@J zZFDG!Y~>&Aq^LH==~A!_J>iK=4O&lxKVw3F`}&sP?KduE?%YnWRim%$GvR){t*NYC zobdd-i4|CVSa2(`0=Iw%zGQ}mo}WfjU=fP6^=+DyF#+neX_JrL9zoZJn#_vpM29{p z#}12izwc`@mOZ=Zwk#m39)C*{4Jo9w#OcxvsKZUTvA`zPcb#N-RGM_?lgYC4e_f25q){$TVT4us5I_X!9^3 zokNh=N!rDJKaH3Demx?yz4mTvHm~PbGz9eai&*EJ2b|9JnF0fKzo3+?)Oi3*UBA=V10#TpHg1sh zK;C^lL~xEjx@Vm~=H?1wRFDX&jrTp$QWgfp8jTO%Di3WWz#0|1^cM+-1`nqNrheJH z^X}{B)@Kqs^sL(DV#qsLk#H9@48=nwVrp$^2}{P6fbg;>+GaRLTTdm)`%?q&{*Ll$ z&*!H;#8S4X3^fWRt-q;r=crb|{sC`!e#%#1;6^5VL3B|#CLi}S}pdk-dok)byWaJO`LJ?sxwK#_hZ zv24{lUyQcsEHz&8U*0&;4sJ|ud9_xq#y#RMjo-hQEy>Ezb_4S-o>O}k;%H;~y`O_z z8ZtKx)*c}{Z22JZBrRkt<5Zv_&MUVjVe*%y7)7L0loR)@?w0X4`CB=wEF-~%1V}bu zCISsc-b<`QgyG7cz4;$Btd9r(hpe!$QX(@Q(X7f4_<~@`Bx6Ps*~S&*CDxra6ZX9p z17;U|p@&rof1eM89mcr3_!mF`q|4^@ej1owfl=?-fD&YZPBGFWP=eQg0qVr1 zs*y!cBsiOFN8d@bH7mo-`?5>LM7hc`jco{o!?`1-yEJN5%oIbvbXVlDC)bu@n7$+! zWRB-vs8zlpsYh}UuZUI6sfrfgHDbdsI=Id`Swo3^AwVIaPzdFsY;T;0Za7%0M-^qz zt!aDaa|3ccwzA)_rQd2FtP`hQ$)Y>i4ft=-nd}cN1HZ#U@?GHNBww+V9cjqU6H{}gEyiYC*SOeG@V3I|H4E`qV8w}&%Av~WS`WH92AX}{^*Mw}c`2z7m&*RZa zx3tU2Lx~@ST7=IV$~7;SjBj(=c;d6Q%C>+>`fNx;$KKMMc93Z>3I@Yr4EP;mBfIhnN4_LakEqZqQbkI3_ zeKEGdHY{}jY&Ryp1O2Y#4N!>)=JRmjbM{sAoqt2!z?sAz! zDGL#g2km2;JeK!JSG#^5I^X$fyRQChRe*s^q5d_vijE9(UoTS~tS5&RTPHG?;0|B! z2pN&NKF1ws%TzBae_020`3ig6s)uLK7AWU0DvBp)MLFID^9ib-C|R!$j{lZ2z+c8j z6Tx%LJ5#WuW2BUYb@`|RG@a-46bZ{{wV3vTQTs{C;kq8#y8^rP$0S+?wfkq2_l-5T zwghy3I@xNeW0UcOBlw=>J5HuZC;b4HZp@0udu+cl*QB!_swS3dfZ>8-!D_VKQ7#AX zQOhT0;v}q}M!g#}e)U8_oL96zEPk`4d-%Pc4`-sNJ@ijt{UKpzXNsw-Jn)# zC)wmcHCYO+lkC-j+oH~w4%ETi%8O7(i>nXl7ToYwPqD~EptFIka*|8iv7T_D8KG7T{{eC(7Q|{eemy^Jp zHnJgRYOmzdCo z@iTog>soGz&oE=0+4AUF9~~_W{N00RY)#l&aOxM;7XAo(KB$f4u@u49DXqnx9IVBa z>pJFN80nxKK5zbuhqX-7rgs;@eJY)86`EmPs*r|L;~GDxW4i-Ym}{^X9cal($!7Pb zSlD=Gy?(PJWG^m3ZDZ6W5i>qRZOhq|X3#2ir`jb{6;~$+S)LeT>PhS!P{Rv&d~&;P zTK6@0ED!mLoAS;fx)yZ|{P89Rxk` zj_4RX4~1$HrR|HLBIvh{TUrBTJE$<4ILNVuzf=_>;}Dn3Tr)HmybtIe1D0bDbBN(VJO zd_29qWD_og-P^{@I=ase&lEIbb4`O}`i4nX3PMK&!nGy`%g|C{YMq}U@oj|3boX9@ zNxuF4Pl6K;Gs{l#^4XyK_rO(^&zJmsTiDL@xQXO@mk3j&* z8Qcml!8R}5A{ggH2IMdUdbM4qw(L3Ak23V6Z#tQb$)i)7b<8rP3AA%FU2!|w!#AgVQD8=mH5A%WY=p#ZZTfIa@rcz^%;ZR8}V5Bx1l z{$J)$e)ncW8ffP#1O&%`+M{HqvI6{eGz$shikx?-B?@{poz0~|!V1_!x~=GnOw1E^ zf@kNLyQcj!n!)jk%Cb~GiNi7pzrH4gaKGFjT?Phj(iMQXxud*>uTU!*&|~XR4$sDH z)ZeydkkNM}4nEdCyUA>SsrT`}LAx#Y{6DLQXoHNxVK{R&Y6cADfRlRG)fmi^~V@rTi z+C-BjM5~@6TaD(>e6Ffa%3a<01&X?xhQl8V-1zmdL4xzSL*{~pQ@??l-arH2Of0y# zNYaa_DGfj{k@@zl%;25&kga9;OPb%^S)2K@F$S3PrKvko%S$bLiz=L&3>2d7aD${e z=o0(%e&<(?t$=3>{$Uf$7fAivKeYD8{|~DXu-~@)4*G94{2kMS!3DNjOGgq(G=$t} zLiD_U)))(c3QH(#GtJKN|fgMZVz}!J`CpaGm&uM%01; zq+pW;ni=Jw#cq(+8Ga0gFg>FU(_g=&s+5qvVH-*<3JQ@~%b$$W=u>Bc_>cBamuGfe z;eB4-HIA@D@_~`N064`hKMbOih_@pt8rrHW;)YJj%OM zGurA5R4{=kiod!Pi!U~4z>gZ#dj)et*hY)B#i|14$*L1|{bhkpH)N>_ZmWz_wn@80 z*NJ2&t`s{9ud=}(*?5&zX5ntccYlQ?DlA?R;svtx+nW zE5*ctsAk%}!_8a-eLej`vOoOgHT3EyAWe7B4cO1?`9YUU>O7kI0Ruonk!UG2siOxp z&4J|5_YYz%0SbGzQ|h@3$Ef`E4qJ6LLxE?&c+`__Huvi`3|?g#Dy?-V`FK8!J1;lr z_^Zj?#IH3SdR~XMK>+$HDKQ zi-X7HQimN!U59$MxiUe>yEuN)*-1g?!(Dbm`&W*cH@a+~2%FHoygD;%mt1sH);DP6 z_HT^ap^9+!iEQ?E0R{+*dY7g!OmPssFU$Gj7=dg8ekbRqo_gdmU7QyfXo@$OGbT$)Tg29ZPl$3?T zBoC_`8h_;H4WUg&+KyAk=jrbyc{KdBH49qaoVJ8Q?oDFmrLb&NGn@jWy0AE!7SZo- z1Vn%3xQKxERNPjdQ{_Pt>5pprz8D+Xgc=N#PMEZ&nTd(n#7hYMQG5==6x>7iIBQ+&Gj)seygvX@p1^^UQb-wdS1Bt4)M(HnbM_Ci3J~Yrye0!v7cY;W7&c8wuuhjPebIJAaU__RO~jT-!OL^17#zWGi6yuY zCVZ-MDY6*qA;;s$s*)3vAMAG)$CGTkT-2NC0zIBSysZJNrYL8K1QJJbQUlvsa#*EEPTxpf}Bg+}FMajwPc?o269?)^;%F9f$Q2bZ;ht(q%V5HKRvDk)94?5`2G*}1NU4$o58sUAd~m;Ly=7JuN+5zWnfpailFiK zKQ}c&=k$K!^;R8zG)l1Vk5BPqwEQ1DX~k}|D;C8>kjOrh9sBI4}SD7oxKIJx4M|4T63V6f09IxFh zbGt|uSFu&YTFViOn*QixU;no~-&6MYVaiW7J*l1P#<~T+2pesx4}b}SfldSibE;*e zvh&H@VQo{&tAnj?FQeu$Z_-B1YPKHF(|YiEQ{5nrhxHPm72qQk^ysn_V2GPYL9iBk zacX3w3PB4daT1sP;qHQ)$`=7i$Me2|c^Z61C+=dD+Nw=={!9?JQw`>Mz>Q%Q*sG_( zS}1K+&eE5j4X>V5=(Z3nWBsZ=H}Ky0B&)I4%ZWSP)<=1H;c)8~C+1$(J#giIfRsy)sn+!~CCQba_bOXbcq^{+6)53$54h$#miv{P zyUy%3h(B?B=bj%80Q~$<6m~c0HCh^xaEOazXy`F?=P*+c^N|0lwp6C$J2*c8X7ucVv%~GMY6+p z`goL7N!Jcur;3WSqc2R|n7{&rc#Vz$W5m}10i3-Dahqw&%8CPrr!g@q_tp8doX2YR z+cKwK+szlXy)SLl@{`q-P;$ES=_i&9ejNXUHL-li9s*@kL#p`2aA)qE3Dp*)H40NlTVEho_&Z=cw~l%-Z+{ITE@ie0`<$(rHg*Q>*`niIOb z5`H~8)EvGsex2;pvm+j}Z~_7(hbdwpISj@PbsEfraA@}!b%os=1kBY*N;X4Gf!+I# zermj;BBP0AKvw;N83{TgmD!m#bRB;Lhj#+2{9(I(a^C^Qx8^UFUx@H`A>uMW;LU!3 zFTytxH@f2mb!3^BX!_w~7I&lVf{XRrva!v|FAB2H_XB{7yNH09py83{6_H>vH@av~ zjE=Y!%9Xm*1{0WojLiBjy`9%KgxyinX*m*B#FbqwBxzS?s^8EwBYDPS8Ur1coH~MA z05^pVZy}a5;8IU6w-)HL9_x&02-NEtnTq?wesIN5&ZU-TTT+(dw0_^O@Mr%Wo;ib9 zVL7h|h!-zGhPlX{l$o1*!_LXE4He9NY%#bq4Xe942Hi+ zJ78F>;OhBRm5C;Tpw8ra_Ai>NZ2MWPgh2vYVrRxKXsU^xsZ6zO!3)nxm^1A? z<8z zTpmHlIJMIppN@+kRoqn)Bt#n^*{4zvF(BWaH&sm=dR%}~h_qt2Q4wKZVyu+?i3^HI zz?ttoq2|-wr*Pw*keaQePp6C9&w}r%OcCHdZP>5vHL0wM7;OPsK#N3o(#`bwFGmy| z1{RfPF5Ih=vmjn&qw{m@W zozB!o)sNkrl^8!wd(R~i)LYv}anpp44cqk1u%3T|H1aj%+v+^_pg@aWFD(2I=<-$! zDGJA?j^{1#Hdw{(i>mJ)z-VZ+FL!L?I+G!rF$Hz+Wplpq!EB@!uHTVyRYy=DEkn*f zkYMg8HvHTZ)d~MTTvkX91&5N)N?@8_TFZ^lQGjsg%i})=x>UX#R@xos5@8YH8YA~? zUH=K>=*@hYy&NHmANeI9p#}#*)M1TK_D-Y;7(0=ktY0;tZmU*V@gSSij#jBqzdtl& zGX)O^XPg1ZmQ_cG*_$$$VM8#l?VJKDNQ zvH#x$(j@oqeCBL50!*x>iw~ikeW)`AtVd-r_^kv4!y??1@@l`)$aPO*-Np))nt;M< zhsF;KT1rm!jHJ_@sr(BENUEbHrhRpLQ)tj&cM8R~VD^{hpy-~3^Mx%@xym6z@1w+I z@3u)%9ZIj{0emoyDcMf7q(@Ry7MbSM6=TSbvY=rx*`-Y=n|$`9Fk7oGKx=aM5tV%E(_$2ikJu5{yu*rTyVzV(t`FfLi|E_3Q#cU^n@AV=g zEA#Y8zIlUsaml=&sa}_Zu+A^RZ2%*b1635dxzTtmsXg^pWOR(gyPK@oYgU_HMxIag z+`$kEDk_+FiKbk%*&))X?|fHN_0=f4K@NRo`>BrY1}4z$DeHp8UDi9&l+U*(pKwgN zsF%AVgwG?BRRVHccd(LbCIn8>Od~d2f*6?#5g(0x2*}+1lBS&PCQ+4s+K8(x9kSa% z@3+w{hVAB5Mke3Q-)r2WQ%enqPy+&kG&n`IPv}?AxtG)6e6_#){k|57)~X}j!k7Dg z<~Y-Sbb&t)nEq$oRx@GXQ9&v+@mDH>)r|f;`8D-T3_rOt}_Dvrjj*I;`-4>5y>+H)o=1eMtC?viqU7mNol? zijCnl?l;4{xlXnoUvjJw7jMfeL^NZCzH(f_i@TN}5iQ_~$lUULb{H@UIzDqB@@-NX z;;p$ilJA&gb=mvqk$kN9F^YGRe6EXp*-E~&m+$RNw?vA!&vk#dZmw5}_b(uptCqo# zjiv^`u6h;^?dgeyJE@Ki&?5o6+A}1x>I>&{v55w8X zQ*+(+DU5o4%bxQrP;(_EXDYDnYRl1@Ncw*RZ)iy%=tU;^@Zw|x_Fle%y>pb?b833k zu>zZgCWDkf2pZjsr}_dqDm5H6n=Jq?<0~w1o8*L3g-(IoeiK^+UIn&a3Pwvp4`7&i zs2PUe1j_iYkOWtgTg65sm_%U_O@@q!)=?<^9g|S{GfV>OUY!PVj((9Wt)W{@}w89kDq9?JQ>Fi|sLXzNP zDXr-kUPJN+KSVUqb?_>>=yUnYmgfDVEn-W>va50k)udJS7vy3J7{_t!uRZ%j46&qm z4ps`9(uL>PTdQNHcndspj=iw59o@XNZMGq_xtwA$ksqmAp%~Y;2>UbAagRcb(Ah`h z$AD=8J>p|bUlvvX?qU>pdn(UiYD4O)1kbIrC#(c=*P^DC?ZnUO&YE$5=&kh%EKUPgT)rysBN|=I;)B*2LI+XwvQ^wlKQ!0I+myP+38fX4t>DIgkyQ3TU91yZNCG{A?TB zOnW`uYk9k$kT(Xiyvfikt799D91eGiC(;M+_UBYzmU0zoJ{s z!8~^O^5fM7GB!+F8TwXx|JJoDWYUs(5Of0jfLTDTpR5aBNFS&gM8R)32H++ypwJqDSpGwSpe;rAO0L8__YtnbKeo4L5TKwKVwGGV@v}l?>)u zn}}T)H*w}-sF!E&&J_+YILtip@1a_S~f`bh?i%(#b2cc`d0c?p+&e)=T^yq9yKo zounZ~BAXpH6~H~v1YP*^)>wV!8AZ`m#qvb2Qd);rl}y6XzM!0s zwzKz6ggVlnyi@Z=oe@Q7=NOu%)UZ0+)uqfHUyzJ6kO|8u(rc6*D)x2jfOBN99- zcPE^E*np`<{FeDP-~u#+ib^0+FntaGXKc^MpR5#kh=}xWRdBL4KNyeVj0L1jg_b`$ zI`~h7<}a>~lj-d6dFm^N!gk9a7Yd^eph4MPYR_$uPIyrQxMq_;LE|U7{DZpZuE3Ws ze&qmo&WGq}U2xU-VVT)%3B+#%o?(E%QzRM9yjJD#C-f2Ueto}2P%JQJg9@~FCU6gp z#XVm+;w?d0;78m369>SJ1^ou?q3r#*HJ`5>NqqS~tP%sc;X(N|UZ@@%rG+)%XzZB& zL&3)PI{Eg;WdaZMgZx~;{qx3D6ZhjH;s4EY4oIIaqWmEl3Iep6QsbCT)WXLsEG_25 zD?Ee$j^|T`dTH?W)pvxM%O3Yq4xPJ~XxH|iKbX}e`72h@D(T*!6ebq<@NhC`^Z_Md zYQNw4q_PVv3H0Ot!cDXV!tzaQoofDr)2{>GKBNg0TRek@ULqaHDf3(mCw6C@7}Y%d zjSV)&fnpMeV#Hlr-pg~$O)hI>e5~xgv(tn867kF2;vzD;918!O{f+^{$9Py(XaxUA z8>OuQ1MRhBilmdyR80kWEgi*@{W7=Ggn1sj<>z+!YSZkGCMSp2^?%YY*kNdWLO^5Z z1{VU;nsLAtR)%GY@Q^B)!lv|8sE-P7*vb^6-cRoR0NU&lMW5ZkeeAxnquobIv{7-J z&3PKHcDzx9Rg(k*{-%N-9*a1>xOfWaF{(*RRTqs=9Zw?VXfQ%$3;lr3- ze*ObWLtGc{oTLj{SFO6FTs`AFBDI*HTj3H9xLv3x5F;sc9kA`4bJ%iRNSy*|TM;Ca zjr2MQ>5(N(Vp4`RyCZQynT>nBX2kd`tRBRf^2ojEjCt^tgTpUwe+8vL*&xJ z3T>E#iN#;Wi6Rk=ux(7m=N~oT7a2z)(kYT|?^8TkH3tU`lt#?29FpQNabNtI-TmX=LOeL@-q9fA!>fUUaeG8$%9`{f70~00fu?cVP+9(NvYV7ffHO z|I_K*(9+jl3o5lHZc;BhlJ6)H2&fD)h=!N4 zt8Qw%dsl(?@b$g$U+ba@fIt2g#_XH;{pK(O`dYqnus7?0K;|whkIjcNreWt(o}uPi@rkR>^Q zxpjyik_(tGqoGM66;aG%)GvNGDUX`~ZKe32bmU9=9kS;s_6RHay<5LEyLV39*5B^+ zFL|qCe=ZvLV8|n7=vdZ$JSoKwq63F%Srm`SZ5N2Vf~f17Q44l=;RDCXJY3hSp^%ihd;O*~EPhzpP(sg$h%1*#wX z^#8b60$ITnk(uIegx`Ueurb+49!g52dgtp}CxlvZntm0+SK)-R%3zh%_}xdvu~Xs~ zwW0z1To1?2Ojf$;ZP1%(eQK%-zsQbBRj#9xE@o!q9r=~J>1B+osPm9A1x?T*ImDpkXp)U<(Qb807Q^aCv@FXX*o-}$ zj(MDU!l_uD^=Zqyb&N)M^sAab;^Yf2ToK#f>Nv6YkSrnSCP*{uc61jP?&&U`b=;${ z&$wa2mlf6OvE)-!Fl9o(l0`5Pg52#?*?@k7S}iYmzP_62HQhh7c-&tye>d^}o~z8xL+$Nl%Lg}unYOhVsWuhmJ8wOS!mlX`{Jg;^C~5iM+H1$i1L5aQ8M}i=Eo}5N7-sCAIx*U3 zi47%&SuGULeJU31)0^d7n}Yfq)i{S;adM#N5v0ExcEV@3qq*_ab}=wBlBosRuWqyA-3 zel(u{vZw$1+(|iG0=V5B0Nx7cLDVd5n$m<*i}Rm8 zDRsnK>Z>d0pMReaea_PJRjJNUR^47uCb0*J&JJ|HfijwE@EH9`%YeCmg(+&vPB`oV zzH@{JAixMsb6+_=e?&w4Orh?t99Hm;f_OIgMo3VB-Zxf6-d6y0cK_R|ZNRkv19}JE zU&lbsOOR47OZM6@$ei5-%RNvUgl1=$fZho3N!T1G>$oL&L^Rc;EDslrCWH3YV(jO8 zoeoTa4-U-k;n?6_JOHARa?vFY%{=@OY)uwkJw1OxzfrPscRy+$`PnYBWVfAXTaCAD z*2=!*y}3auGgLG6spj6p18Fsefv@a4eba?n9$b*RG)JD(J9RGl)sg8vt_3Ry-Ou!B zD3>iB$mRhXU?^1vmLVMuP@fAhYA2CuZL)T98pq!JS(WYLVS)plEYH9);M6nNFQM$m zis1jCv4k*a*#iImr$ILD$L$121ticu>A`1KH6)kodpC&>#f&lmswk7`0u@DX$59OQt-u=bJaVFcsIE%K1Ha9Djs%B=dcZyf8~+PZ({Ov@^Mf4)5~YoO)gY!Y}_Ko+>* zu1LZDLW;3ss%`5q0Z0(8siSIxnW8-F`+sQtY>O$X(|-qP}X<_(;?F|ozDH_;PeIQ z)HyrLpXkz^D`%fcwmu}(IPjazuYGoJRXdawufXT`@@?9gb8MJZd#h1!f-zj}pVO@} zv;$}u0lHZKt*!nA>bdpb=U7N=v*DZ=Iyv8ycwvb6YTXQ+?9vF--OQM z!jq+`E1^RKlM>m({-0`f-dtOR_IOz$I{4h5O+7weoI{qc2(+_xx^OVaKp-|k!pz+rk!rhO+RKlRcVa4r94j{wpy9^GgNM29~a4H+`cT^?BlMK(>s5GwCyg4+@UB8LUy zB4xcCTZISB-aJ0VXPT>q2YzKkn?Q@Ocd4DthTr3vgKVau7X95KOQhisXW zG_6KBw>lh>M-{v49AKd77kZI_P4BnWwQo){QN!{_T*&9BF)zM3RRDS-zH^+e@y=Ww zr_^Tr=2;UNiA$q7!j)NZZrxj(EWG%W9co6GTP<#W-X@%^Y2~h zAN1y~e6VDJG-l7#g*=KzX)-#ez~ntPghpuHNQXjj-TO!;s00vq{hylDX- zOe>`ulTG-Mm%GG9m3iBCPc@M(mHIH%qmtF$ZrZH^9%&B~JQd5Hju{3krTWN8TnovM z%-^_IU*o<~;=}tg0YR#JWrN!FkUhYFfT03wCudsGOaW-mw_s}-PiP{~Ecj3{P4*%n zG5|dq8~LFWogxZa%Ie>Rl(Vc9?PmCL;T;rY<=D4he_mzj{zFUio4rka{(Fk&Z>~mY z#@mKw?k-z(dX+Ru@4Hzt_xum~<3hyme$Yhmzu4scRG5Dja{dRtXvQ+K6b~sZMWJ2o z0_Yw^;1I*?ch`^?_Nw!YRn;CQ_qo#ckG~65<{t&ih?#SSwuBjeK-mYsh zCD(q$rf1VVGLhfVyC)!U<3nc)<8{Kf7`mO@}n z6w$GDdyq9`{nXzK_7Q^y>_zrq8k!%8(p4pp4;V}fke9o{&r4n_+`QBCeoKi4?0;!%lAFpsjYtb{i+k=6;UxM8Q&=mKhe|6{Rg!>|8H#I*#AJ~{&DC2 zxm(rGU4gf>bU!fk`E_!v$Nt38!ZyHzk4#&NEPXPl>h+#F6RDTo-04*>vt>io)eCJ6 zM-O=+#k+Id&Ll=>94>TmUR-1#-uYfSRKgRMq;AV^qw?gw)6Ky4oPL|7%f#0#k^d3V z=+~M)`b;-XQunF(0+vP0fw0-Muqq!Mk%`dnI-CO5+Qs z#X`QtT8R}HPjEL;j0vY0ZTGcc)v^`mlFL)v)LY}8yRrq0JO(W`G%4D;o;xiNxuI>B z4u40-jl$R?$V+a4CntwJ>=x5aXa>2-?}dF&?`l48tk`idq2!F9cY;U9IoB^Yser1f zU6s`fLfJQ#ztMDd8=@B@zj7>Is-giJm^r2o%jCcv_1-{rlh#T=x>BD8|fi z2*=M`41g5Kl)pok`YO1pZ@dIR9Qo7=Rx|<4e(06|x*Hy8z^(&7(|?aP?!sOO1(a@u77rKe~+xMwq9>`8Q~ehK3yGLf#qdY;}S zCgF02sUAd84bj=#t7iQIUhb*ZWj}X%&~rxc!s&!F+BLS7%wo>bnQ`C2z<`DY7kUQG zU|}y!Vyp!%jFR)Gt~3(HHLqZ@tss@aAmiNRMxJ3Id-YGPvl4b=dCs?uieGQOzLx2OBlbISBie8if_e;s=RB!AusAD(a*UV);&1bVu zRea^}MX%WluW-x1fJIC1E~7>^y$Wm&&`~PuZN+BUO=Q?Cj-N^P5LQ~y(yKzX#BON` z;JqCiJ6szaf;eXns&5-6Kv#OrRL{H|wPFgpAbJ%|R;A&>3cf7psV%_giws2GdnqS& zOftkhpWL?cg8%AHCvX71)8Ag;aBstwK@vq8zX&ep1Aa-rk(~YVe`x#iaH#vXZ!Hp% zrR*^kQXwstLNk>lNmHqWm{hjJWFHwbsqD*yP{fqIER%gV*()UbZf1~OX2|$4%k_S{ z-{&~)>$>jl=Xvkrc%MJ~LCqY$-*-9B&-ppe^K&95mboYK!=R!oV@73I8lnCj5i>S(j&NI#m*qOE3DU#NLbKBv(>kY8jpBJ^%0bIX~^9Yz08`~0OI z`We@OVCt!JF*V>ptczc!pk_M@sXn(VgR%nwEAgEVQ1v`KdL2Ps_%K`3Sz! zJim~i*LU{Eb}AVuj@F*CZ_sVJAD&mCnGl3Vc;exOdgjJ$q9xSznizsQLf!h;U>UzeQQfL}Jl&zCv}32$6e|J$b42dfXPWVAdf?H>tKjC%ROqY<9L6t75f~(n_Qj*9 zHEBE43Ky{+5hS28Nq|%c3x*6l^9Yzscb#Rx=I{2f8OxQJtm`}7=~*qhn9{3GLhmUk zDcl-U_r<~~`19?CfE(lQcA>yzk}J4=6tDyXd#9My3{nGZ69%*~&+4d=gZ0E6sg_Cb zDRY)Br})M5nLfcRqlvFF)GFM)V_QTQ_PAO3w!ek9q(sR+;yY-jplg|x{$^tp;(vM( zYAbnUoU4OhcT;Y6)naG#k2f6i@5@gNFp}R|eL53%>F$eqKcsSUhP4>LUT#zu3Ge#rEaA*B}L>3X7H@ zLn^#dJTl3V7GeF>>dZ}r&d!zL-1@p0q|RqD`elgB`zFD|hgNHVPK5P5cQ>xB3)f$W zYoJJ~a;3=i`>~cOP^h4a?7+&aw6e$z>6YfF-TGh-Y6ofG&(m&4AII-kB{g9LsmKLe z`dwxer&#SRC*G4R3i*z!GS{d4v8Jg|m|>(~GaMFKJAcv4EXqXgW7(;r(;r@JpS*lV z^#xGx4&w@#(@nWsg=oZqRpuiI=|e*kxI*+pF>jmST4SDGIQC_CnZJ5O(y-Z%!L(=# z&KrG&vV-3*i9hN4bvL#AS@#Xb)FZ5QIMMLESiW90whxUEoVRq8ELptL04jrk+hIGViS&^+eH)t68he#;!(gU zZ(e1{Kcy0Pa@$I{(s5rAGSg;{s`K(4vu}-RGZQ~&-SK_ZdF{&4cK6B&M_bd$t!yCD z4pdWTXeda*em8!OjE~>w`AB9vj^_QQ#TDj%n zu3tb3E(n!pVl7KJalg245wPCbH<&l9HOSCsP7*`G9D2q$?dnOZS6v#c&1pHZp?M&n z@>Bfg=SD~U6^u}qv0FQ_n-~bL07n~m;eH9OuoSmNo6MIPG>(hOpp?9$Uh9+bfj7!M z_VPXb==z;yg`%~yx8pZFz1xGJ<{>tK^5_WQnEK|^$AFPW6lztDpWHz+Y_dd4Kwa0n z*r!tl(yOD@UvxCZuhNY)K8mrfYtdXQmBpFlV75Wdbh1zxLo1f5W_GhCu+>B|$YX6m z?1%S9&X=m?W*69N+w^Nxc60b+92Q@jEid1(7eMNh7=>oa!1I#IF(GejXLpMzZ7a%4 zP2Vz`<@6Ii8_$J?NhdbOXH6y=tD$?>bAM5hQ=*qco|2^vfAm=;i*tTuw|F*8$I|}b`8yD+=WfP- zo?-*;uiO$8jCY!CImQ_m=4u0+HVZqMg#Xl{2F@usaNQ41FBI1Db_+YZ3mEMRzHxry z^7R+tBBy7!E}+85h1Wom=@R-GrIfHRlfmsL3+1#2R_Ts&4piwlV+FHjVf{BqnQdyH z3S*F^Q9n6fYx8%UHR2&uMzIX^2-}2JAL`{~U1*fv@Y?^I%kF!u=O^cugw26&c z$;;E1e3=KIj^UdSkoM46UOvkRB5`-*?whM0)$WE%p`f4!iS@};XIlTl57-55v#8I9 z=K3!bZdsPOnJ*KalV~b7o{Ti>rT>Q^Wl9Evh1S?;}@6y{=kD zjK=AAxr;sIndTu$bD|JbfMJSD=WBl{HZtK#kST8;U?&|=JD}1Ac}Yl4JhJlKc6V8E&i zbOK>Kh8$>tqcYl3F!!yDSuTQB2S4YGmlv0Y8dlx3eO_?DaG*Sr=QHUM=hZJAz0K`V zJ?oB>7qL+JqXSkq7ZUttSbP7|+zRBC$l_4qiz}D)!zT2EN z5)7FELCKR)>{U(?@a5`*Buh@1=c1?y9oOElPHN1;s*e$c8s!2eOEWCbBzQir?p_$2 zn~zp$SbF|`PQ=q*9d-F8){67K%9C{wqkoCsH!nDb+z8#D{sQ02He!@i(%vb__*EBo z4LUMEI98+&FX_ccHyKyFKO1;!W9OF3!mkk2K?0DDI0p$bh8kqNgPaw*cXKkUP^q<9 zQu;{wqzBBD(YAXhY@Zyy)bHP){_-)uB8Q(PffWF=A6J=8oDB9|DltgsTzpph_=0@* zt$_hWJ1JPbg+XhSfq!t+RGd+g>4pindBI(MQCv`DDM$tw2~wgor~{M32Qbe)v?SIT z@*7_ae?%s5$}vd=le1g96b`}tj?@=o>vT@ZBVvioL6ko@O4F9#(jYa!}m;k zqeO5=fCSomjPETdar|tbY&{GeI%^`)DR-#;Vo6DYgHfnaxYtG>y%J2PaZrR}?B(-R z`AU=uTNw-#`M|yehC|3xz$kS`&0m27oyfgf&j7=peDNIdw7#f>KX`Tsff&n-8>28@ zR?3-D0ReFqex@R`3#ZtFE>agBowKkHT=Yx~vownnQZ~Uzj4@)3M9MMuLMD>p(1=hDyga(PbMg zKs?CnIOq&iqy79gT4dMy@RTD4oc0T56-mq&v}!kGSM4n#luHPMQB0<}>NM1X_#0dc zaXa3&Js2Uvz7AYP;A-+wx;w_phrE+xx)4GqMYPn;jK^&bGcy@_F_gSw!7p~ zXh-8ajp&rzRJ21B-RjJbwGSKS@Bl(nGrVC!SY^hhCU0T^F`|)FCmbY$3a>d(|4vUL zdZu?ZE_&p%?VVN&xeH6ZQc8|JO6Ok$T#p?o38P3Ns2SGVAa|gnLHXFemCeT}4JYAr zpu47haMcB5wRm$(|o1E1OL>|IOy}EI{j=a59!0am!H&p%wzljSlh9EN= zk{&}1L?h)eDosRz?NKb8sc&SFwO*s%(D4Be7e8sdQpDHz2hp7QGWfiAKXf>S04SM1A7l@cqZ zu7633VpKlb&G!}tsakb|%Z5|M8g%0Cz=F*Z+CMs*T`7j@X=y!0S>Rlc6+X5y($GG7 zE61C)V3eTo)LkSE5oduo)^iUWo5#?O#!)z3yRO~eS{i<^kBz6ltJyp4WtLE7ai{IA z9WSB9QD6Fyty2KM$mLMcLGwGZg6w)4VIYiIUkHK31@G1lb-b;xsDUS={c_I_xJ1LK z;x}RDmtn|HqpVgXE9wEZdlU;qly@&tluY{&x6$HkFHR&^fW3i}iN8aXn@LuJuG3-l z%+YO76n(XE{Uj-*N^Xp0Z0hLETitE(e9MW=64B>AR+raHUpQ>_7>49F*BnED_{V_| zh7uX72PsX@g&nmCA)T5IfLT~uKOO(+)#*L9CPOzjKK$ZCN|~F$L;KW&$PViKP<+#< z6ek-r{N-XVe4yj~sf?!VJEtS(Os(Xe{g6Hrs8rj+^EOeHXY+=Y#)r1#AHdnmAvq@$ zrpoNO2E~XuE-)}x?}M*5<;EU7O`>b*x*L9CkM|FipJ&LrWNHp-$@3SM&bI_n zU{^$sk90GA8pNH0`1PxBUEn)MKH!<+zzKH+b42qHOn)dj`i^-s9S9_Hlq8zl#b$6gSuEo>)Q4;F{wr@WHv; z1bCYYY17Wp?Wh7}=!PGnHMad~?;Oe$*DR^f04w|v!O+Z|3}O3d_Jy7GzOplUzo&7C zdM@>aymviXPekOA&u)*6l|v|ANT;QChR$rMdvs4{v&F-%@o!@vA|7;pGyERrx>a_w zCEVoYP-*xb(!jvLOs}isx?j#i%UYS{%_2?W3IiUkM;gE+Usn3u_sTtq{}5I%2=;% zY;x4nBlvyWWWc!y<2)b4pe&ak=*!yyb|uNZmLjEr5SZrba$aXZ$V>-UjCiJ%gkn7&mm*GGz|I2Q*%VPX0u0DXtoH z$)x34kKfGi>6xgGy=Urk+^%>({CuolSKOTqbIaTj;${z$$Q)4Ns=B_tFcs5MKbS$t z9L6YLE)1X5cE8^`laYu%Xc#!A8yNaf$>@S1(~&(HtiJ~(&moejDU|-^@omJS$m&O> z7KjD@cNhe~_JJ$Mi`w8|yv{cV8M~C;fWe#2mMzDu$b*WBPVd6`cU7G(folW(?6j5GL!GO0(-AMJF=AL(3Z``O5}v)D(K<5iHhZ+$S@Ws2^dW^Zotm_QD0kV-aU$Uv za_#>1;7EMtyv3dv2Tx9@;pcqNLu9hgC628uMyf7OKsFi`Cn8yA3p>?|vcuFDuBd*~ z^OEQ?+n%&(9aWixyqJeQt0#y7u~hbj14=e+NDlBVoQ z^o9KG=BYbU-;|e!jM*KOLrU}X^%T?OB{(s-1O2!@YjI9C)`_uj(W4PX z?Je;gAg##iu9gSdR@s(@Y8Qm=r#htDz$giZtwAHxoBk!z0jwl@D+uS?Ay5$HR?1CG zBR$O9R>~PgjRQ71QxUtm4X~3XnH)R-db1{%Nzr)6N{Sd31CCofdp{?<>U=m{W`?|7 zlN>yHxbwTBC6xT5li7m&kpJ3#wU=&;aT%5PaxA@ueu{_Ve2dZ`{FKOFqtbTQm7z_` z3mD_q=-A&i(W_CGCo^Izpmg?7+WSwU`XobvO`H6Iq!%#}bl-upLlQr?l~S0wkO>T_ z0JMW9D`$AE4{JIG{yE6PB_Vjw$zfEY5I8ZltVN5#WN~hG3dZJ##h|m-|FytBBOHdAJL!YXz)*tJA>Yd> z;~r0^VuvRR?Tt@yUg`PRupZpP^;JwY`t6++BnQOdgv;qYna{raht>L>q*YnQRX=>2 z?1fTnc=!fKf1SX?wAi2W_&ENr;<>jFK$H(?nAMV3f%^mg!TWEM*vjyK%ZMz2o2dX$ zMc+I8%oVr}i5>rwJTH;SO-l0(z@bpHD8W3kJ$i@$h6yudX(O3oKd>fa3r=--;Udnt zZmS`yL5H|GS~Xm1Z_Iw7ukTBJqRyRv?InfC(rhuuZikL#Vvoj9i-YQj+v{okXX}vL z3{vY#geF_NKEK>J-*Rzb&++g5rKZ1lkQ0Rd`ZHy8_4#Tl`ssRU_!L8eL=_g8sgYnv zRO%Y-sp+0qrIl91w7Ie-m!s;-lvn+`lfHa>6kz&I@8lcE)bMHjs8olu#+=}_A!pmW zF8Kx`pA`@8=W#O{FV}Q?3^(KWBPJ%u4n&r`RB8{YQlnN@=JJ?`U}%-M6+(S> z((i^0U!XEdwA#g&N}JJ7U>mtYxK2s|dVVBlWQa05y4ean*4#*ty3p>LbH8JH9TSYQ zE^F=EH+7R-Qnul#OLVL1ZJ+ym(;1~H4mJBa(0bZqCVTrXcNGhotC8l_b9-;P*hF2Z zx~i}-FFftt)vddqJ4Jrr#FOnfhnx>h)>9GB?j)YA(tdOn6c6K%es%wjThbbcMgR20 zogSYDS*Lczp*i9mOa_@{Ia?#Zsln~Tpixj*jul3jwpe#^?~ldWLAwB!-Ql|&eEZlTTym$Uu9cHiZU+XG@eo40)F@C8Kgs8IP7pBRgp6#JsQ05iJS!-D#rQT?dEgfn_{2!ApGN11* ztu*jDl9=ro^MyCU?}XDPON-_Qt6~@Lh98K#stwh7H5u;AD7r*= zMPNCV5R_1opE~%NKl+#_Zw_I{`P3MhvKy|P#{2DmPw(7F&2(IEBEn;`Z`OM{c?#;g zJG+ZuCL{cBoV)SKcK7qs)Tignx#Pmb$@&2Ngudagq1v5kI7hYzq)zvyp+oR@DFZ;A za?3lXcMu8L_XDnmy~~(il1(zbUP|Z2C~kU~)A`N|Fp%Yd$;HBCt;U&|<+V1?KBj|R0q_+nh}!QK?+ z^HaI#ruEQ$ufwxiE*7%Eapzw>e|NBcH}$b0-`mM5)4z>8{UN9G*RiN&#}KR1Y_bM+ zRUH2*u#^M#HN63@3xtNI*Z{qh1KV!W@oQuy+xs65Nf5v}BsVdY^e~l=%K%$1^DC8F z4=h_$oGpmr!G+E0cLz+m%Jm#TbqX(7u@rE%>(-_2cR^>Qc4Hy|1_jQ3Z0fX}8I>;Z zEn8I$ohe?lFA}VlHXq-#d5ic@WGKQG|0H@&2Hm7SDA~B)94_qdB5Tp&dcaD|~}XK#L7JFn_*!Kw<#z+njop z-uiH0PF}9Gw4|hf=+{_Y7N%{MeN+{_Ge8Z7wUrZmM5-eXnNgdY5F!JRQ|*mW#b_sz z*!>#$IA7wn;YQw!+>ABKgMx%Jl~=mvmk7u9?ftT&b#yv{Kt&IjjkyG|EN*dofLvN% z#%S@>QxD2^?H~;jzwCLnTvf`I_?AG!^4QpY3ETtsKB-mI@ks6ao)^Qs%Sp(^+Y<)9 zbWt^@!tHzWtetNxTQhcQfk-0$a<`_+P~zNB`l%mx?8_=%eH?9cgWnDR#=8~af*z>z z%{@egnlMEty)COdiV#vJnO_p%sab>iu6j)Rh-fjh+0m^Iy>e7aPR!7?q{ zP6*aHp^}Ytxr5lZ^{kFT5HTDh}C% zr;+9lIMNMi&9xL^>;))7Jp`-7(wYt)<^2XK_4rfDsw<1Tl)B#3R7M`ibQ*fOpp`K@WI(+HHLCn&F=eL`EItZd**$ebJadxgY(Zv z);jIXN~$nXTO&1x9+Zs+82#JqBEldW?5uP9S{jOZOGB7L`lW%&a>2I&YQ2E=2EXv= zzpl@&>tODe428MKjo&e>G7dD5;tCm*W<*i^{1j_1R;!2F1!Qt%tr$Y9kyDlBWu-x8 z1f#C#Ns2+7lb6`mJPRYGXeEWOp-t!e*PQp3_OC>Y6N9WbKuKwaZ?I><0I59lT5q|Y z>Y8`=VsfK93GSI=y<-K05B6vaC(J_8|5m7^s^vrV)sfvO8aX@oTM`(8_i$^**a+my`XZso2t zU~11ih8cE%0*WPa9e&MNxM7hc3arA<8!@PBW?z7%`Ge=XDq;sHt0)DEcNQjoC&tun zgOcRc!L_bD5^u!oQrNxxu+{{>V9R?>>`VP0$)KABcjUs`-^@l$=(U&l z2F4j!dTnV92+s*o0?I9b7vl=JGm_i6{N{9DF!Lf?(@(hprv`lH zI4NXX65kAdE7<{9`t8$R34MW8&aOV$ko%2ZH8INr>dt9Jk+4D|6{+@km6w6iucJjC z`^_0(-_b!Ks1T69kQ{F(z;|L*!N6&y#d>7u0u3Pv30~>`9@G$5VR1f6JNT@@m{jtMG;C zzY_u=`~IX1|2Y8E>op++@w0{*W(FYIqXK{QPi^9}Syp;~hPsPfZ_-+n)Arm;C7k)FFKB1^A)4qaZ;* z#M_JrFr994_1H#b`HX9HU6mGEn+lR>+U+d<;tARDrcH_4R`|u`4Np$XwMQTvb6rq_ zc@(Au(5%!=5f*WTZy+>U@9$YDj$tA6yY7`c8LQkYeVmQdThfQ`z&h@{F+Y*-Fpj^) z+R+1-VWS`1iPy<|%L&nh$&Vn{D(jk|tHyp;A1;#j_bfBnO;w=k7kXX3pS!Ey*j3#nt&`=5Jr& ztMZ;@3qN$4L=KEIR~h&PL%Kew@*~lo8qs?e+M5!!y4lxncOpwqb>%L|o18oUN%0f2 zk7(cZ>GmcQZ&~bPaZT(=#@)*h2pV|3t2i%mhQRZwW0i=_I?e?8O-vY)Y;1KpMNah4 zLY|tP=PsY#0^^8Pv12@bHr6n@0vCxG@8f)-th+@28uv~$1l2LkBvvdLOkj9;7cqJm zs6^t|UEVGa^s&PWD8S{bbIvu$(+tFygV^HP%nSy3-jlTfS{&D|8%POj{2C`C`OH2+ zbnnppM@cI+N$7`{>0IOC5N5LM=i0enk?@(BiXS04?LJPab6W9kGkqxAZiSLEbD3Vh z5arn2SH0k$6`V8qoZdBU&9RalSFTeR#h&fPi9o(Uz6s4XPaPD@Mb&Frbc@YO9F`DJ zN*KBISxjR07F(WVUd(DEER-w8dBWzU$20FiMl|#SMI49_=R;<-GG6cA>Gwu504=C$(v6;A<=};mwD-|jCnCb#6dw00Ss~8|S(2j3U{#j-L~?VVr|Bdo<|xiMt87HJIcDXEHMB)XwR=7G*Zr~H z`&eKNMMJRDgT}l$!5}BHu3`jcc6`SJN4OLR3!yL-hW_B0&fQlP-Uq!zudkDTzJkd$ zk{3^)I05>0Ck}@%tKcA{6$`EIjd?Z}ek zHsiP9ZG;~Wn$7pnkyeb&T#;`VDg74sVD<5e=vv!kqX~nT=L&R+3O-S)>=lk*-MPV< zWbkOJKR|rBrj&(7u{ZXiYs7HfaFJKQPU{8Hs>x4(u3~ETo^20)+m#yC9_uG{&oa^H zo}j=}w|gwDwYw|iKrQ?ZFe<%77CoqZfxa}CkY<{MI{)o#w7EsSO1UxOsA*!%u8aA4 zLwC*1%^R+4+4@F~H$Iqs@|}}*ja*mpoJxfLMNzqPO|oe|xo6)L*`4L{@cpRdy`gO5 zIal+9sYXITvJ~TbroWysL%n|8t31mGf4hTJ{Bloa`La}s&%??fzt)^oo{1-X7uEoo z`I(C6WgiEoJO(#}6M}qcYRArWs_B_ikp(l448py7>GAZW?DCuA8&2EX-8uFBWz1*I z23*r*JM)+Qx8ru>cW_nA8$Ep)!ehb>h1tWmY}1T=5B%_$ld6Zk!nHZuxJq zz56NHJ+>j|Z4OqA;d>5PW$`!7d6+KqjzgM-cU`l>j7@Ye20FaaHZz@%N)V<|kD)tkaH&O$cyZq~Rh~SY%K$xj;UGM%?N6PAIplF}qoP2;RwDEl6`Y#O?D4 zw7zJ2%1t5m6|R)yj}ynlE~Sw&w7+Ds7>XVmEZcbkoOtV|QKm6M;vc zuVpT-S(dl)*kk|B3WAPrKt3rG8FSq4XpXj#HSLx(npH(^20Y58^J_n(L0smH1cojI z)JY_~{UzZ4Pv#xC9z1yLpZ5`)5scj{1n#}L$@W3*T9B*1A{>DzR?7pmCc+=#TNoqc z$71GtI^lxDvV_jpDqYvs|d zVRMV>ZHMI3Wn9vF?t6tgo2gMDBLL zU3?~{to)`}`#tP8Uo%$+MpNU1h$ZMcvbconB z@f}KnpLlEQnN*^>o$L|VQqrz{tZ{rw;8wpqZ1gnyvNv{64TdUPi#+i4_>W7mJolM z>wyyx1ag%`b}GquZXlks5#(Jq1+5X0e}BiHW>cVnN|G(n#SK$_f&g#>iUBEl4}AR| ze62HLx&Wg9Xn$~65Nn2peTC}lo8!5B!pp)7KfwCEJqyl-r!e>8I`Q9UcFY6x=mu#M>@MCuS(mnGAF6(Z-(xEq!@idprRR9s^iyo$T3^<~I^+ryh# z40?ag{nit4a;2=c6RAC2WJ^ceIX^A?M%!04zS|YtBdwIxnMCiwt2Kr7%lE&dy*iNO zqs8+J>rV}Ezkm1NERyHEpYKsHtkeikeFzi^7V!UTC-MK!E^#DN$iF=!zdcOw>R0%0 zie&n6{7XFA6~Pez8~!v4zhnW2k^PjJPnSFm!2A z8SK+gz5CRecH8e(hUt2xzBb!r+d|d%v)@f_Dg)i0|9bEHMV@?pFNVtpU=}_ z?&uhPeJA)bzRRH8za2!aj^s5hN-&D4FiTlCR0C)3@1>ecFi>h@ON3NbgFvS|NPF#o zt3dFndM};pjm^Po3pj1)$q(}fSNAz~?2bPddE#Z$uB{^-HCc-!+ zP{%$DVUGyGNp!Jgy{GVZ&1X@PE7gY_m~DHFD|-7bB=0Xg`sLh!<-uJ7V7=R4F=zASz$ayQoTQg(}S`-)E<(&@s2?*->CY<7u>k`u*pun%$B z;Xhg8YW07vu^)oD3Jm_Y6g;E@%-lX)SjT_lKVa6aot&6u2gX9HAlnxCTyNAcSbBU9)8Cmysc2_DsGN%BL_3V_({3 z7rlc0^aJ_o=$U?7=klm0t6-0QbG#E@++ol^8t8AEAgTGhsTr=UNrb7_mN$!Bra@;S z&2^%tvKJ2)#jV&47G)$y6i+$j%KV2X@-NF}_`kGVKdt|T`d@1PouQ;~>%mHt+WYH? zj!^_LhSb%1gv6*h#O12*oE=qy>fbvqC0XtDKXgMafp?%h=wME%n8wxfR;6cNw%G1E zcd*39;Cc$RdSTe==hB0T%$Jk>qkC(cC7;A@jy2ZSaU)k0ttt+#C3moZ-)jSIrhrBQ zM^a!_fZf$mvlU-!f>Xm#nv)Lz2^cWHpfPS~mXFMEBDX~~85b)#kZM(6H-kyp$AgD86>%i-%8H8Z|nYK)zj0V(zhig5ob7vkOKy3nY$6Bb-F<9?erWd!(cU%|KS17 zK}j?iKQsqCKqe!u7z9z!Y4zQ}1q|yuPt=ioCr6CZ6-yG|9+dnNiqc?{zWbN0{LTe* z1T@(RRC|4B8@<5&sj<2zgOl@farkJ?T=3h-<}zFNnAmHB%px-t=FaO$Q+Xj5W@kH% zJv#q07dQWB_-9}Izk`i9k^qq}{zBw*N$w<(qiy*6oilt4m%`Vc=L+Jwh{B{AjW#Ml z8VX%zS#m|%4lRyv$#=cyWq!DF`A23)*Z}v(*?UWGh;8=-MsIGIOB4@n>VBqRx_zvC zX0A;VJ!+WZy`)z~(QbFW=Fr(-+nLU1DeP16A}yX}u&*fmb<$|Uq0&dNlof!3|I`(e z4n%`ixdH}%@SIDf11~5hd=s=&U8=HVQpuc3J#Q+3A7j}_;j58`E-WoKGet3$H|Tv$ za;BGG++W-|^Pphyo0?G32|K&8i1g^AVI`7Z&Azo+nqvpehL#P#F+4K2%aQhH7p2-3 zQ#3sKOt9^s9sNIWvLF7kTay24Htqjc0Fg}jTU~1>PPdS8<1N+CuKr`i3#~`P>(?6| zX@3968J0BJu{8}HTXWqljh*{(`jOf9)u5WqAf!3#i5Qf$f*ff`7{*IIbP)FXhG_Eo&F^u;w~(pNDPSCG^;n!pWZd z>we8G^gP#woepc_%$C# zn)L_*Df?1-D$}Z?W*=LVzSyuhKpNA)DMPwrL&mJR5#5F@fL%CpKVLHkZNHP*x45HO zcyOyq8A6v2gf_nm0)H1T_ND*Xf@b{e(vw3v&fhm9P!dAUj_pP1xKOlfg1{4n3v@)^_2 z6afob5Arw3=~VS#c^$|(Z`z_Qyu_j@EC=h#;O$9YDSChP{JuaF{^*+{MmNs!-W1!q zyQ@l>B>;}Y9X2n`Pxm8t3uCoDLeijP{!T%shM)3ye6Vxw1Lu@eQMKEyOrPExA%5ol zet|bUJR1rB1WkVfrqdKzz^bDp5f1Hxd>>Iod=XU&RCOV&KIF?tD$Z3NSASMK_p&&Q zw59P~o1TtZTg5JT!i-`No`P~H-k~{}vocMI&J2QOciKL`OTDAgR|n_LhaRvv z@ICah%-Py-5&aF82ymh7VbDPY0Vg$+tjc-KRe~&$bZ1HuC&K<67S;Q+JatGT>3Ys&#yTj!5p1o<_eg2r)RC>7MRby-@uZ9?U#xr^vSQ?1v&9`|RY>yT85h@Q#v zlesFz3kOP7mX`)JVo82zr(5fIuD}ucu?CqwLJco>phl?khx#ISBik^>tk;8e-oku} z&U|}UEAf5N5mKAt^F|%3&9@43vr|-b4<@^h5$4NTCXg>zK-dPnqB18)6CYHg-pO{R zf9a}AK1sI^uR^+~4*}BNt?!0Rao}5fd*9`(SFuqk`x$PT?i*_?e}8ZEZCFy^C^>p$ zU(fI4s$c{L#Z_-e!B1i$c1kFP@HpI@h(^9s{Oe81{Oe6>eF>r)0={GflVO3Z z7@#kof)dpi+?$eF=0uY2mguHL?zw{PVy(e)tQ=U23kzOjGrn(qHA z=aKp+$|LBne!`bH59$>*{~$6|p=yS2qe7GGEGQ>bk3g%}h(kVR6ZGU*TnA-VD=Om6 zxqaOeuR;&lE-mCnp8k@H+=5l9gjirRY`XCej1?)=#Q>DR6kRxI@hi64)Viu$V$L*r z%Pu4FoEyEpt>Xvn<0jR~E>sNpcaT^pXx>Z=^Z57I*PYku})-eFbBR1^s9o;F#i_akV! zRYZUZ(L(J>f+yo+J>_34jVwGnjMmy;mAaJqayzX#w8?IJ^%i=Y#ih}onybngoV=BV zVTSvyx!}ymk0-vnhh4Wc9_+xj_usg2BRN4^rBdbGP!XY9W(^>TS1e@=k=f6A#`dQ3 zeU$Y2hRK*6?Yd5XR!S(?kv-G*{JwzX|bx(7)O+s2#*r#_nbi*@`-dAU1YiV5g~O;lS+R_LSR3 z`wCyH=&8=h7F|92WNz+)VT8eh-AI*f@Gb} z3OC;`#j4re+f}^Vz1`kX?n_#XV$cBzx4T0uvevCRbbm8f(AZY9v5nY>-k`5ETxVIn z7g`z9bWGctCHLuDja`3mx!!_-9M3!QZ-~49?ht#=qo|;sX3NvJ7&I+tAsrZN`~X}e zaO;NWnYkN`N2mPnEWfEJ36#?--@06((fG;3Ao%ce<4kb(b?rOw)ORxEg|1Z0 zS6w_mM5v3~F~=1$I8n*)3^&v9%gDQQq}Zc!D9r6~#Miy}S{6V5g_D0vwG|+?jPQ8I+Eo+o>Vd%x# zZc`JdS3?gxyUwnDyWA_9i~43QY8v?D1ekgQi21LR;w#GU z(OQDT%(9J^;TMu;i$)SnDl65rD-CCXdgQ-b<=?#KU#<4v@lW~+q91h@>hsOPp5?sv zZ0fCY@>Ng|&~)DDqZafyH`+$6V7dU7Ecl$!sM`0;C;sT}?J1i>2N9;w^-Q)s9Wb{n zKZUVgatajI=yjxB@cueh-4^}+nYYApi+mqTBl?`e(Hxr&MfLAbDsR+?|JD@!mQ(vP zu>TtipWMY#;(jHTXxE{K+{Z}^q72ho^0qNLrOD6fRCT1VFa$(HD{DIXE_S4LmAstn z+#N~%^ey!do*cq$H~5`YuNy>`EE@}{(RIf&=hNv3gKs~IkYVyl4EbCtNo;gBPzrlk zliKbl_r0b|@yY0<)2lZk5<67VE;*OHLdO0UO8=HH|L>@~a@F-&|Epn0NYr=l1^_6XA#aTkg9?j1yV3IK-kM z8Wuy~JIVlVCGEm|fz9Kgi|Ts%jG*f!fxGH;2mO+#r_GLz+DX>0MV(W3Mv&RoYuRQ>?%CUobjkw923^#~4vtt^>7G24MAYw_8%GVb zH&H~mQfw2bkb$IWhg+Uvs0ZNh<=R_*Te<$>$+W(^y|-GcZ%UH6oZvZef0)N>k%xu@ z*BM}Rw2EO*mHrqhQfG^Q`Y;Mb!8LOCl@=5f`lrW@+55(x@7O6e-+D@5gW_{u>;KyV z^sZC{->S^PXRaslv3D$T1sqvgSTE=_-JWJhz&jy%0sSM(z5;}|)|-Q|S{2nf76GHF z@EEkGXYk&^utQc84k8;v-Se-R6+%JGkD!SBz<3d;KrFptfXrR&jJk%NZjx6TJ#4!p&69)*s91U{gvHhm%R$AIBA)?@*4kIrME+ZRc5OtDS4!?45i}G9(LT?VSWIQ_@uB zF1XArcN-^DV}@-&?=tFKy+4>1m#o-fKnY#(k&~l6@qDIt_3WOAv-=4e3;P-u;m>KKMsmyNk5>#UgLuhkUb!<_OIy^+#OV?9 zn^f$0`HRi_U0Gk?>d+cX7uo?ZHOl}ChHgAbWFr~)x)J5^Eg`fKeOlLji0|qXTEP%HqZ3dl@$EY0q zDLO7FRgDh_enU|LE~I!Oe$yo$>65%TW6*KNPquA;g8yK@5Wy0|^^fiXZ4Y5@7>f~}DlI~f zIz``MlIyPuyQa*RoNi9^T0)<{?cg@&z9GbQ?^q2Gp?-1?IyP=r4@9jAwWy8UjtC#X zGd9K0y9|pNsup2!<$>ST?rxEO8EtV*%1|-dN^0WUra!gg8UC$d0=68DVu9={>t*WS zr7Eg+DYGLGbTl{iJe##2)N|zm`jNto5BR0qLc(x1vp;d(AgHPG$`BwWc_kRId0YBZ zu0YEhZreI3XyrI)Q@|KE5;t|-0C9iC&$H1;pDn34y5+lLtq;aa3{@BITY3AuSD96Z z4uFYz!h<`QCgA;?vFD)gbmg&qamk11eE!PaW)=)YPynOa7ZW(OloBU39{WkHEW0TO z-*c2*4B|xk6;c?H4$?Nzf%th@2AZl}kCMe8$GjtRRadNJYjNV8-;FdE5KV`(8|^17 z%PhmZBWJE8J7>$(6;zf+@9LdmOCYZiXehSG5SWKubC`YVgU$e?xi1F(7XK(e$<$Qq zov7&I?$3(R69KRzYMqZyj-q#PJCfm?ShlDi9dFuon?VfwX`-^gRqfUIncQb!p1ZkE zCu~rmkr^m!t`KnHU4ldD9VIN5#ZqHiaH`>(@wG@a`L_CCBJ*iJ)Ime-!0s($Oa%B!*HAIIgdu}(ZY6Wu8Lz1QfV}Bs)rHiGh_PdBK5lW7=679pJ#6)ow7oY$b|F9qr`TeP zO+<0M(=2}OH%f{6Gwey4-^L%u;VJ{ex7rjFhC^$IPU#CA7KwhZev4RU^8QJ?u4Nyi zoxqiyL(s3127qFZKlO837|3o!)<|N)Xb>ZSlW0EB|H?(7s^f>!@|iV>)ePxq{$2a; zDhhZNWo1^a?-<74!w+UQ$HR*Inil&3Kngooo{d!vG6ZFO<0>u2zUC`L;n}#wy`1;D z9+AAsy<-R7I4Yd)J*Nro`C~8QF0%N3 zpp}=Cc#qxlyq`wVBZE>;oevxBjNBY~6~Ws>w#N@DFbBa$pWr%CMWp%oF$!Nj?L-lI zEBjfU*0Zye<7WC34E3SNRC=uDl!ze z2a;b8#kD>{vK4`*u|qg-4c=fGqEz8Ex?yR}TZ0b%8TZ z4v)be;uLWC*ryr1rS*GKM#G%X$Z6G1mw8tN@4MpY^a-%?sKfS31NHz{5B#oWPFXhgTmXCaEi%6 z6;8?`^-Fw!p|LMufk z|5yq9^Upqle)3mq7!|mFeZb?$`JF?u5l-y`8^^1=5hR}`!w`HCzIIU%6A5shLCCmBY;odJCZfN*tTHm;(7Asjc(}cJEt2Vy|^oNQf@qEF1!i2 zJ8yU&+^tsh2w^|`mf;`{QNfDKcRxhEAFlk+XTtXWLf_emPQ@11o$f0bzK?HXY;6>~ zo<#R#M~zKfyrA1>SbTg5BzV0PYxYh*N-}##4%LJ$jEQ1zncdi3O={a>K~>Iu?X246 z`XFeeMyji?CsFeK$;aWhUTspgchBonsx`aKGNYe`HR+=F&v>yrEmHTDQ-6;HS=1E8 zy`(|a0seeg{qcLBIGuzdwdc&?f+kLmd%a)`Rsdu65&$_ISj+FkdH#t>(DMeIkPQtJ zqL&9TOw2p@ng}R;F8nfXUWJFj`I!O~2V&L}v^?{2ze5*OjcCh1XVLF{?BQ`&CwBn@ z#aG-hLVQsilBBSuj-Po4&3NfDSsx6=(LFHA6<8#KqekT7vTtkyfmcb?c4sflrJ{mQ zB#a>aaH??oI_cXt!CTmclk04^GZySiiV%5`C8HA$)t-a9cYp~)?S+MT4Mln^Et1mz zNY1->KkgxWv#-Bd*SG%Ui_!tr?DAX79$ORmf?n8{?9mZ4KI$SZd%5z*X7F8<^ACtx zHF}O_{=PV*aY%NElMw1XTzTzV`1x-6)fNL)b)Cb7dfuMhmk;Y0r>psg?%hZdKV zNa>yU?a<*t7Y>8x)~?=>o@Q16@&dQ}WkzlnN4W!!c*<1jBC%fL)D^r)n?%77y={Eh z^~t>^=v1lSjysDo73RJRNnsj23570xojJi z(Xb)4$7PmB++=TV|sAkyE@e@Av9fPsWSU!#2a}^pd zCV;4hzEQ8@@CzTEn2iBFq^s;p#Zw(S+@5Vwqo_U|J^r<^hSJ=Kq|2q^8BWtRl4a#| z2Z|`o8GDhc5^=b6AhR?W{y^9^PteLkM+w=$R{HGD_np5s<~F|(p3g+`9s;36p2D55l3 z8PGTuu?-NjTJ=fvs2h@C!9&^wID(eTfnDcD8{g}mhvF><(^_xGxP05vUyYEQ#m7lqON_)W|U@W$i%dr|(B zmWeAsc4}f@SK6r|!`vAaZISmu`<|y82wc!;Ev-LwzE$wlBz!y%D#nu~7_z=FqG1Gj zi*LVX7g^naI$UQbNL5r}i!p3_XsW?43$7fDo84C!eReb~X0+ zS)*d9JYo;?)9depnzaY6s8*DoG<~FC18>BN*r1SL*Ys|c0Jw2f%CqfQ(bXU64}y4zj=b|($yUws zT}4qbUd6or^aVj-TI^`m+qA8RZjP4pVgUWINwiOn)uI~v=6jN zjr6}oH>p}YgvMWhe!x}CP{If3fV#B<(U8Y?ikHWi^ubPoDz{`ce4A#zVKGp0zDW1t zK6j6U=JDr-CA zl)yjOwllAC!hmq2ENb!@clu`)&a)g_Rv67}WmX2jtC@r7G(XJP$L^`#!jAIHf~5)$s&Qtnle+Cp65P+AHb3NL$TxvV_DEEeR79-Yj5%!<(n$rpL15+rQZy-%2`pnTQ|>!Qj(DQ2$S<9vyLgHP@A^r+ zAYkEaCL&q7E1#$FzwiisOkiRh0GKrsAlfg{XYor2;6&e9VK?qaF9=aX$S)Xon9dX= zIg}zWj{o4AtB>Sz#fqj;5*qUETVI>>XM}XgFJ4KwZF}u#==IPADVx((?;0@gPZ(+7 z=p|VwojwgA-(+1n0G7gasR8{Vi}sZKyj-h9vRjGN!@eQEj02zc|7MiPCHqF_0W+6X zSi=w1USaR{9j0l}@8^S}EetMfP0PO-*Asd( z)povF4hw*SD|0j~os`LL#R7#p`5{f~t|L9N%uVBw77ae;do=prM}6+Hjt{lwadt1y=!t9T z)^Yx4J>2V9>3;FfU)JmgZP7)B5r|DSC+Wit(7TX^#XZv--=YrDeL$tt0O!(rJrb^` zSh*V0JD?t3kQNtzbBWpX^qA=HAElRDCJ^%yL?}uG%MFdkV++>EqSWKfgl#B3DwknD zTGAlzcDzW<0g8F(>kiuUs&m`YkWNC4y($5NFb=CO3kOW+Me%&p%i1zg;B7UHeDu01%F)#7*P zU^92{R@OZ32yOsdWZ1O$7>to?&+VF6`>?N-y`%S_H>G-Frp<+?H|0v_t9O@X-@a3c zM-`g+Nc9;3ifo{2@JFQL4<7Fim>)de7{uCfK!kXCya}qZ2W?8wG#=IbR)kyMcMHGD zMr=er`6rDvs5Zxc=nZljQ?hD1LSdz_5166;dhG7EHTz~NYDzLtGCgP*z)_Ct#VRQWKXQ+rI3z8L&p!oJoeAEs$Z%r`k%M9SUedZfPq5ux|oFyMJO0g zU97JWE28J5+1`fnx>wo2iw^a#lp{Vb6IEoQ*Y6zCi9C=C_*k~q9^_DA?|7fh)S_ZP z6j6~)K<}~|MvLmMGV&}F-%o`?)J5#m28Mg)}Q&iuCkDi1I+p_1+?tKCl9h;-^5rt8ZnbJ;;%;rjPh4Yv zyw|eD_wu>qUHajVBnHo2<(`Mq?j1&SDZ;|6nnEay z=16;<_tfBr$gk`BUmrAmbpDoqxR>Jg=-=c}J!Tf0Yl3hfj~oy8WLi)V^-vhBXsnWY z*O-o>kcgOuPpESghlvvffE+v5S?`wXu~OHdO-SK(KdB^KtDoi96&c@UW7*zy zX>XuPoa%}DPtTvLB&m?q(%GM26hoW{yDuIgibKmczVb!ukHQ*^YF+$%&9p(U3Yft{p;f5Jh zJ|}Lw4f!Z3HJXZSL<`2NbSts0xL6;BQ;JS;X$SVGDI06i z4qHw@GRk;a9lazM|J#>EN``u^<`xamT(dS}WP1}a^N4jBO&;^BNfDC7BP}jkrV%9X zFXctVfg0tpTFIDt5^N}Ozxn8K`6kh)Hsjn_dhC)X2lH4SHGQ(7mTAo}h81%gV#C*9 zRePI6*^*3Z^SRvB_OP$)&(Ja(S_emQ&=)?Z^8~)4h6A06cM$V4TDyh%de+Y&6%s-B zz)M*m!# zAan~35@a|t_B+Q@-qnl-*oIg?@ORhX>|1b2i1=WZu%gcHh0}c(pmifV7ZOf<*6t{M z)G6C$4!dVDy`=MoCzg+CB9-Iw{zSO_5r1c8t-#+acklh^BQ^jlQ(FIFaW_EomkC5> zVguj+__=1*9M$s1I8$V27hci0B2e%BakZnl!zJxZ4g1FTQ%28;1@B+Y;_Rh&Ke%R| zW^@I6yT1!~9YT?~90bVK5M@U8S4B=#<@*Q2AgkT>IGtt>4wvbf7PTcP3F^*E`Hr8}FO3D~C&NXz){Z1R( zcdnIBP*>k9?>V{aT~W*R2ff&z&IREKJQ^B2_zU>;EAT1U>^E_!bNM@mTn>~7-tgyB z%lO;R90iPr7bH2kp5P3?nU_!h;Tw6caSB3C->@s7t@ez>wrA&iePi*$mxdD7u_-^4 zKOccr(K-QYMl)UnPrMwE#TJ0(@$>}nL%pJTghQz_)EDr4J$cQ8kz2O+Tb>V$vX0y+ z<7HOC8Bx{sf1qpd54v;x-PwlhGH%-huy!yxV)y2b!D8>|aOS-4y0B(biKj{2fp5|N zRQ0lXov(VK_05*f~XitE2iQYkaOOU1&e85OLG{Em*^4?{om`mJA9)o305c z6HOQhh6Er>J_+XIvGZ(X@?BZNEW4HAHRaA|R=eBesWJZFD-XSp6-Ki1_68uwz9N$c zn?0OoT!#aYUr{4V8mDaRuY|XK=Xfw}ki)V|jW#=&au(@sZJ6xs>h{Y`@wNgBIgAX# znDwj*p>VXgUpT_x?GioHk|_PiC^FSTqj$}~7e?k|+|y#f(R~mnbju$Y+k>f>Xa(1b zsAT&IV)l@h{q?>FsItP%4~Hi7wnrQ_*)QE{`1~?i1M|~036TEzaD53sKk&bQP0+WP zn^|}~QJbkp4+j%AAr)E{Q+jB;2i?r7{u&S{VAC?WxC8@V9uwiTYfT}_^PI^qchKw4 z@=1f{yHs)>8E1u0TEwTe%ahfBW#i)JQT^M$q8y%lOjB1z&Zo6mjBZq)wR}@#Fj~pz zx?(=#FUR-GbPp zU|Atz%Q!S2#MpyCdG;$-@8&US3U#82T&6G|a9bE(j@Pwfve|m*jysJ4&wC{tCvJ8) zP%UVQ)U^+YfqGNc8?-FDLp7}rr8fSasX2k!+3r5q-0Fhnvr!bK5m~Q_mt8n#9{gcaCsH!pW*HZ9(DtwG-Uo< z4(ebZ`>@OYNZ^#J9}G8}rylBNYSOk>FW4fuL4o@S#2wvN(F^m(3NZ9S&01vz7t5@aHamlW!5rD**=@tb7Pf%>^q zw=)w8gETBYmsDBfGc<0|K>+3ioD7@k3C$Z8A#4%&lX%wE+D3XNUU>kz+f%2M@YvJd}PC2OY*Zgl-Ta98hYL*9YkgE=e6=cPe-Tjp_kswhJYy4p3<(Vq8X>#YuwC9$S z1;giLpr2x$9UyS{9~+$sag7|9Mz5!d0m+WsY+o+ZF!}v-k&FHF>W4CQ6MPD7Z+BWN zhyf)usE~K4#BRw>oYqx{V_1sGd=zp{k{Ts zs>znkq9K`wYtD2twE*R-^a~oU$PZf%{K2ikN{FytfT_4^SM+0F$%Xn1JyavgdV+W7 z9q>1%U&v!#>QVynHR!==SyZ07W)?kUp3iSBzEBS-=-4%N#_+krp`L6w{8(l89{{2@ z&*yi0am%JqQ7s1NfV^+tHw^Zxx~tBy9M!=NbqhJt>H{x)RYjJ!Q_d0|1DN*Vlw_1M zMWk_&Zj5yVA6kN8!af2Tm@!BOa#$`Nwu*HWw`;4cne%8rGiTfUv&G{){|IrkBWjCo zNx58d>ws-i41R%>`!%p;!{rw8_$qhNA(AD@>q}P3QhD!X!`T&rVs)fQn=7McF2b#N z&9BUj4*k(HcBwFhjchN&=f}27Y=wycMvqPXBZ?M?pPab=ACsN-ANg-k_e%276|y|- zM)1(sk%p_*^tXo(uI!Yh$mrt73r}6(ujQH_$bOP$B+xjplj}U!09|NJ=wBu?zvK_~ zh2U_X&~+xjD*IVV{{(LolNTOz4+r{cZmc){{-LWD3FP~BRuf0%9;c`tT{kO7rEp5s zFn@)D+R!7!UG*-S71&TsvV51c5Cn`_{zfX=A%^O~FDOI0i*VPos2>xrOF4_POR`(B z?R}A&JTwYSC?uTyk+1@HMbOXBLCg?4HHIU51iqPROT=;B#&dhyYFgqc9S!a(w#ip2 zDYT3%+0J3fuh~gcgID=m!<(koLx(OVF|+}IdjxQ|f)~71e;za~R%fR^8_H*=&#&}P zVct&Ad$7B2NL;Zgbg>+wp+2{dx(|TZ^3z4UdK*T$c233ockA2uqOBsQ-iFPIHHXFZ zoKDHTKDf&D)Zb!c#X{t#qwr7Y}iEBVB4eq3mDONtw8 zPL)};k@d6X=aYUN+q^m6-r{LlMKl?lSa(00#VD^VUiF^|Aa}0k@B2t^sy<*+KgDj7 zS&ap7w5$^@$4ZXPu1q~x$`k(htL69X0(KnOZDQnZ3wPYkIoxpAKW!p&dEcgw#sr5? zHZfjZHQ&;!|78fJgA(vZ^)(y)$_hJQ%lTPHre%M}M5bp{mdpoHjqT@njX<*cb6N~a z68KLA2}lHga&VwJ`zf*gIZ>|}PsjYYkpWM5QSZSTI5Tt)0xpPt48v4dtPKza4aj4LWN02! z3^mlV`3;NKYusClpj?ImxjC_H@c_AF--iuAF$Suve?KPh>#7B>JM<-_kF}t^UY&A( zDk{FZtdFhJ)*(R>Y7(5TBCO><9>Vs{%m^9psE?=h7O$6?m$v@V>VGMLkAEH2p)Iot z)RELIBMN4|3>1(P3yi9WlHZ2eNT&{;Q->VOUOKfpkmTw&qKdVvfLZDm&?3@MR z`dyIYQFr&3=bu^+)89&ZWlz7!b>tAQtLdWRBdXLWbF~lf4Y0ikR;*rUaZ9A8X~j|^ zGuhX{MKU0JmolH;hpj2sH@kin1DuYz)MiiwlSL@shG{(W#O(e@d;qXRyz0<;pFne{9iQpbikG+83Q zeDse72mi^U9^B7mpnS27V~6Oq_Kefa?cvSwur0Xu1d>_~(}eXxiJdE!G&V9bbn{~0 zt@o*WZv`2?I8w1MlP|cg2xG%a#ycAZ{TPRTK<;37!8lg|BZqa<1IhibBkvw|i~SsZ z$07R8{mYT>#ZKR^I8FPPmDIY$FK&l-9R9-&55f1V`&0edf>}clQH9+CrpypiGFhXM zrsf#JavH=W;_ok3RC+}{=$~%m_!hg zxjnWiDWp2d`Tt>%IFwJ25QGtbB!3~A$ zQ{DE^VHT7id??wwWu$Tc%w4OzE*p)7tA4V313&)jqtHOoWglDcDGIRL!lq}D%T2Q4SMm8dr#zL+UO(iPQ08Zb>><=bsfcDhYed8vZ`u$<`Dbt z;eu7MkMmaWPxdbcr+1a)6#3R0RQn@TooVvX63>pLtw%T=uP#U`pdx5h;`>?I#jt@& zBJ5Ef*hLVrpqPD&kbk>s>s36=Bdz&p0tgYO66F>SRP`IbHPVh&UOeIGcwz6@zbFh+ zd3c$^7e#%|#|Si6(?~&?!@iZ9&QEgy6)&Hk!wBvr9Ms~&Tj~fU@sSgZ?Nth1#10YE zS?UWykUB)vugrY0(sp^|xJQ)Pu5ZHz0)StUY%oodiO3J1|GP=c5`G7pKmg*NeHzlN zY&g*bbRsCx(_S-#0cdy_-BBVZ(z;v~h=<>5SLR)PfwqGT{)+o>zMeC=?%r7{sy|78 z&CC3LeC1rPb?bWmVG!IRQJZne3>_IN=%G1fiR;}lz5M|G;FHql6(77N@E!lI8Mg9= zfFv`bw0%1f71!8USkS#>GvwG zbt%CI(PI-`mj;i#Wy@GZCUoW$)r$AZf`o=HcU|8VF_FKF=oWk#rtX-ABFYe8l8uiOc%V8UMn~h(==iO=7bsH>T|=C<8a@DR;raZ2 z!Xs3Cvi-mCrbeTB%72RHK=%Qq?C-eBxWxX3RV>Y>3 zK6&xs*KsNEZzl+A9xw(LmofK^cfF;IH5|hJHizS*K@FJxGb(IHIBl0TC_ywZKn49J z{X=@#Q4U-yI5>cQ!F~(E&nM3SN==^%T=z~U`0=BX-%1H(*x-c}{&&n%1<}9HUYzZB z^ICjp=iy>3_>P(~8uLsPeOY(ybc)siDceMgyc5?nd5`H;$Cw=}W$UsOfPe(Bs7iJl zenrxk1bkL0#7xj(o&z%SpouEc45P~xftB2f7KXp{cMj|q_-R1s{;(FiBF0+{NDx=G zgqHAs{%tsM0d!@NtR3Q@Usvl6N{J(1Sk)j|>zEE8 z(A&Y^;Ca+BKrLn6h!_C3EgyQP(MA(R7PGR*U`d5gMixa?r#Rgw6Y8U!S+M}V0^f?> z!tNM@(TzZDvCH?(H>0kaep+bpu&7f|)$se*wwVijn3ltVaR&nX^L*)U!*ap)?X$V) zWrW2QLI8FIWp3GYKtbopsNY0-8oN8cbnRP+*G%t4^A)Gjo*y$h${I9S#(oS2MB}9$ z07f(Y=VxfwOrsfs`9yjE?x$~zd2a4QKLiR&`pIcP;||2T#Z&>#c!zILi3h)5xuSyhW6_7~-32RBMtvX5d*adq9P z^_y4kWITPaic_|1y0-kJmzJ9_SORG{SE9LEO-WaTP%ego1)ell-ZSrAJ)De__1))_ z*I_;u^$-QjQr7h_^S~Nz!5g8CNSl5T_f_!!BI4iB@1YMp~)`)qG5JFa& zP!<;aah$Wt8q!tW-ItS`ADietwYpt!v6UJbVJRx3t1f`m|EJMuVA+Scwn3fuG}hQU z)0{#}piNL~3pqAi4Xo8T`(f|C?zf+qZKLvk;dROip>@`tpB>aw^at$H9YnDq3j^xF z%%m3qfF+esBtq_`V8+WD@nK`dZ9WN&mmM>CM4`Wzd=4b!J#!fFZuszLMWJg{6 zKAsK^ELchY)k)fU7^U2Lc9IW3!PHu)DM?J;gz+&&q74^sU6h2#_O>gzMKxWyXHUE^ zF`T*srx+pW5+U=6jNeA-S+r^jxvzxMLMjP<+CKzq!fdCfE;Vh`O?CCiRsNPMA1k@@ zT~k!%mc2beH>JHT``B_QBRZIKZDYAYq8iEr;gE=L5$$r15|Zy=*`AO}Y<w1??R-Of~`H>)x)_3!}A?W$AWq+Orx$r%%aCH?L-_44G( zhA(~M!+efLn_oPG)1vo-7_b#I&YTgCD>^<9!m!*mhev&_8}{F^$`dbaCY z(y@c52XFITmT(@8dv<2)f&DA^e>{AF*`M6igJvdwTOJ51k8IfO3bv7k?xB0Ye|oYFzUi@|7o|qqAM$TthRD5ySg~^X*Hk`YyPk zi4(eS=bJ4bFMr-5Svo%^LnsCc0ABc;O{@?&@hZ~{#%*0sb=It(nFy~v?GoJ-eI&*% z(wgkT6}P|1!Sd1bwL_ei50~MAXnyd4j-s~GGhQ-p(cKyHOmj?w_}*%fqyrlr4Ps7a zWu@iYKNhm$8P-W$x417SM3yS=^Zfh@HarMtvY$W==f^uXc835NoR6$4e+D`HIXKK^ zfH%BH#~aYWD(92bb6;Mj9zSQ}>BYczZ zT78W~WmP4;EdMs&r&m_ipZ0`K>VA;Y>s)9xXgc-i>?~L6Ak!XvBga9eCXmsSpmdWC z%uxlds<2N}8v7&Uk93yk2k(uZ>=rduep@KtBB>3R(OS3MK2iAL+rC@eiY`5Gp2aQH zxRE~kb_d;IzS)b?KEan_6MJRNFmYY{MIO_No&k85c{cjk$|&~&VfG2C(|la^?Xklb zJPz^tz(bD2=&8TsN~i*TrTR*-+-@+JiFZeWeUWc8ucVo12h6y1;Aqmt&Ds0q(mqMQ zK9$lR%LJ1HfRSrJ6wBAyI*lV64TBMU9#wJ^Jg31TY`0wMb<#@={~oT?U{VV z9-luS*u0zPjyppis#OuC{e~R4%NF8oG@>+C!G#~IYos2n5|Bzf;KFZtWV*Me@2Q{B zTSukm$1r#Hm^~NA{a54$H}?O=Zh!Lx%C`%wEVye27kgAgzB0JG7TUD}d=6cs|F^^J zfgYv1JS9_wyByYd`L&!JRa>P~ukJfi<~R%BDE~(&1+j-IN=abyX^u-bigA(T>yd-d zL^1jxrE$8d^IISK;GAk+b;$>9t%Uiqp^;9tqc=>e+zZ~d1e-|=z@4%5qaC#{fUJE4 zGAb1iB`$#Be{+Mo0s_zQjx1b{?;G=2!MN8uYF1qrd*j!#lhms4_Dw#&QIP3y*%U_P zNjd3pf#o?X(}JhZuyQfTSFz-QwZ*7kfg3^;Oaty8Z?zBI3Fl@XpGg&_nm+IegqK1k zhfX({``ToJ`Pz1v9gh zSUcC4UCRdB%s^hCBZf(#KE3R1nvvVe2uznPcWV*hcEL&-m1+uc5_RI1N#BFQOExQEUEYWKN;7AESy8t&7WBPetyd|TK0N;{ zYB|89ZuUvK=!;Ew_&%dbk= zXdhn*u#66J*I}O~cyZ=h2ugcH+O;j- zD_(sO%sue*l*rPw;7z3Y(-Bmmab z><0Pc+0}Eq0O=4&O?$(w=tvR+5jrONj%x8((H*_uE*hV8LOyO z2jkHdR8Z-f)w%JFDda=5qDqDO5l5Xqh@VYrXZPv5mIpm_wYCbJ5PQ4I zc!0&_UKE@m!L$TT+ar_J?burZR0X@rB8x{_F-idC{_T--{o$!&d>Pl33!m!#RS7BH zHbDT65%|jSr%734HHNt_vH{Lhf`5eHQ!EKPYr+^$6v>U!UT&6;dnvzUeqP3dFD&Pk;Py))P=7$E=fwC zIryiB>dB7=Jp>;aPiDAu7P&`XI9v_;i@@;bTyP`(mwj{3zsLmJ(EwOgtBu}HR{^@# ziByCMr7Y}Kca;+>l9j+MtlZ>W^U1mM(^R0R(4E$uWXF$lQE|;-?S(o0FG*&WdSzeV zOW~EHC#I^r>dXoTcGU0NmS*Z8Y3t6`uI{&E~^_ zcDev)c%kda}#TW&(A_WBne!aiyN9|(stkCBIsJui_6z3mG%TySgyFvz1*c|_HUkGOIHdoPrW*g^l~p(|`MAZ?;|56ebThp~iPKNi zJ5HRO%~;u1W6%lib}m$y5PZ)X&O=8MG2z85HN%pqp}M+et%5L7XQPX+jM8m6FPU+0 z0zvc5dC=c#KEX`?YBT;%>DgRk6(7SJB|+&YSAv~oV+N>Y0(LcM90)foEDr7(8GZF8 zUPeDB<)F>5-p4zBc4yBl-#tK*%~jnkWHOnZykt|@Pt`z#g1W@ZdudHaWXI7P6347I zv@WK*&y)-y6jrqV=I#1_Fqr@C&e>o04$FTP#6g^9*JDMhl&B=&$vUWrI$@Q*q5HW% zwuuLcJ?WPcQMvk0tUYzSVTx|rdnr0s;#PWHpY;UUz|_UM#PYHVY9mi?g zbiS~;l-}2-u4RsG<3xc=boTytj!NJ`M_2(c#2KjF7QZk8UxV9T!xXV4(IvI`?-EnJ)@$UTK2|PU~+KCx}mF0VO*fZXkXN(GeVsxdz_Y& zFT8PVKX3()i}B*V@>YSyUskJCcd?|6N&>#vS{v;DB$(}=D{*|w^ljd)zH4;|z7@?0 z*f!T)er^e;hYg>n9&`T|`dOd5Kv#$uw^zt{)a+Tro}*iC;1%KHZ@E7)&~(e_CvZyM z3i|?(d95BrC-hH2OrdbL;c^{;X0QUb*wjWXw%Ie!KvA#_V-3u~?;Q7=f#5X=rdh{e zuLX^?e6VN0-yFUW^J@Zo8e&g@8Sx(ywTyq$X%Bo1I{8^_&>rf_fnjgKmdx;sWbhx9 zta2kQp+(rsAV3nt`OiQ930V+$9iZ;^zhCVD{J$qtsl@y@>fnB$n-e_`&Gq0{vawc~GmtVKD^Z{yP*aATd1%G0Io=?Q$xXnd*@CZ@r>4-v?RwbOgN5Rl#G7s zva7Px>geS9B72wKVfhBcK%uhdUiKh+?;*Xfn0c}VQ|BAP0NqU}k*+r!^siI4!bPg< zWYoTOUCT10#7F1OJ)N1!v747K$$Cx>7QA{h{swP+n6Aa0Xgq)8qAZ4uECHH2 z>s5_3x*sZHzqmzJp;_1T$X2<&r0-|DDCYU47wWfICm(Y%kKgVXr6s8=mX3H)F^{-J z!IBfHAzJh`3NNu4yze+nbQ%Gxg1;G?u}b*8*uPTyOIv(W(v!;NBUSIMTaF1m7WWv~ z*`oBm-mlW6eYGPJThu?V#n{Az=s6T@V=5ngk-C{@mjykDYTk0GCYUyStp_R40>7wpmzFe?ui)oT4=Ki9 z`hb5=GdzJ+1Azfk1XPG0Pt!^p4kUnjUADyh7VUGolJZ4HTtu{vlpZsgZs`r zf-jI$c344iVN=pv64}4#hx=MEg<~!up5O~^x{aS=6){g~$gTwNu6WQSx>86_X2=n43)=x{IUYzc z$-L@|<&nv}wr54T`dbxr4#!CD{vzK#dSAW=DqbV&QMze%l*ss8k|EzT#dSYxrki=> z)$NV1st;~kRPG|XOsUxi3GO@cJa95SMrh;}a%t*4wTSir^uw>iG2c0aGz92Hb#O8E z!3${sp17w*X3#mIb8Ogkf8>Op6IpN9Wx2P)XCCvNpSPZmm)#Vd5!V6e9nyUbX|447 zbf!O@i$ZEjm7wrOuE=A?V7y-~;^)hqVGO&Py{zYu1DNVTwFmL;u!j{P^Q+Vo9nE+!QgvQbsTT*Gz}{!Z z`o!b{d!M&?3lCKTCHJ3=IXn8cMbRtNtVMU>E%q+^rx*PHMX1~p%&x08_WWaZ{flnL z52a@+fo%vMmuI!XH$0-s739}^0s9Mhak{61;Hps5%YsYs0=<84GnsB z!fDk%AiU)F-#HY+*)72j!Jg7|D@YNXmYAJh7R)EE&@g_(#_*>%2Oj`1Pl4$62jNK| zM-;~v_|Eb98d@3}z#xGx9@qv*ulg4{#UQT!kc|9i_=BlHwbnPm2fp4RSnOen-9xvz zdB78;^ZF57W*YhhEB^w-pZ`Q+7Z(UTF9BPMAg3|3>9O_LcOi{{qZ-VQ*Fw}SmE*Dp zd;=SYUMxoBxyzkEfAT}qgb@{{eh!J`zzW&u;vysU?Z8@hmA z?pEC|+LnnJ4vrm?6b@W_2mP4Syb(islx|2&AU891(Ix8a#Ob|GREN4b%5WorJFTo# zLt4MuYD{!auPs#qU#iUOuNbuE7B;3WE5W~I4tpbDjjBIk_!!NDIt`>rK?iF;cAyxx z)7c`asm#|xL+eGcyn2^I&A^wabGan2VfHAV-KoLBie>}37M&VZx_q4#q7M1wL3`K` zA^7dQM}j#eDkN`2XIo;9A$mtKHataJ)@i=hkE z;_$m_c$mkX7l2GQq7LFw7a@wBIJ8_-ti&VdSUPl;cT-X233%Xq`<2Zx92)Px0E!mC zqLWDPr&ba>=6xK-lWpb4BbgfF$)?o!1Rq~@g9!)cG9O_+rRtu|O?!oP5Bd#y>}^pv z8SZw_U>15uAbX7?hl^-e!OFZXW%0N2ZjjoE%xL@F%WdXSPWBPRA-$aracuMTIGl9Y z^Rz?zHZQ~}s8(`*WpS_!Y%-AX6x;+lzan4(j1hmhANl;%vzr|>`|h=r_z=H^GeKFsHI1@6jU*>SGE8W!D6O1`R5PfE$gpQ!{;DATiU+@nm;|ZoK;X#H^e{k>L@%QeSvmOe9PD<~77{e%PjjU6QPLNQ9rc%b zJXVq1z8lM?Aq}ZVx>vfThdtho@s!doJXR3(j&@Se4wY}2daG$jdj-tom9GP_A8?Sy zlGf^Z_o7rOSx;)zhh`L*s&G-1_PrPUpVcZi<>*Ugs5?E7z5k(k$w@`vd3?jdN9P z3VRma3fELpg}{6JuzLx+)s-la6@^fTh56nNkeY&R^Yt+)e1{LV-lffu?7CKe^hT%l zjU7{UJMFIqH+7#Ef!`pz(z>WRza!Pn7>?kOxIFSpcBCcLbx`cS8NKh$eCHgvV{C%q zs@vYS^rZj#C9b<7hkOBDsuLM-V;mZw!-zOQ>w(~^I!oO(pB3fEFkoo%$dai}k)D@=TnHf#0jCaqGyqn8EcLwc3bH#RDS;- zP%;;njT3lRhiou=ZynZ}tf-kWma-2@RpRrOCjW)>%bINQdT^ zY>PE8d>n&l$>dRQ3YI!exS@B;@${)fW}BaFkrdX*M2JGQf*Jz15t}qPnOEr&L^5RD z1C)>qNzG4+@sGN1`(W;V_4PR9rqLqUuCLF%KZN#d``4ID(y@&JvFABaxL?G8dcpG1 zFFN&h+OEvsR9FFsjo&a)6NI%C9J?+J=xfblO+hUKJk^gf>3{$Eb;ERRCk5!C!hX<@ ziQ^YQ_0WAUZb7Iv9;C%BOmFzgS4=7qyDr@GodZY5vh?2k(6^o(W|Ql`bKG5B3HW2- zihRO=Pw331hyoNUjKP@)_%2c$anxOA^fFLZeC*cPIv3UDdzT2C-x!ncdW(4M4w?55 z3>o&Y2Fk#22e&)(Fnb&lat8H_p~g|v?%uE9gl|z>8cUOWg3*$*CI~vq!|J>gWh{BJ zO)2Npqw|$j{-Wk4k+h}Japq(5#U{if3&c)1a&gy>5@<#3tjE1ve25C17cF&R>yfd~ zAI9?2vTmoD3OkRNi|jFoAcxU^yPsJVp}H7IC<xn} zxZTsr=w0!3$lWe99#5+EuGjb%9$P;7c*#b7ZLreYL^R@iz#E|f8cBg5MmoFhU~@Ci z1N-!L6^A4C%z~vbp9sg!Dz&$jVjInmJ;e2jty@oWJ<zPXSRKazS0zA4e_S@<6?8F0&Q}IBM`hN5I?U z%@8Oih+tT8ekd^;_JPk=t#NEKG9(7TGwO7*UM-%9ajnhK<|o=TPkuhACM;+yc4v1- z9rzzBFilAM(fASu%Jsp$zEl{czus${H@IN*gVCx|(i*wqb^eQv#$*9z~Oa_^f4D1@<2{pISOieg|+NQ6i4 zB&T=9T6}Kn+UX>Dz63|pXDNQ~mTbP1ovyxodv+!_ueaM`x+5JDOXV7VpcLv&0!|7{bNhwCSvRisej(_ZPDe^fL z>#6dEFZ8!CjSF>A)rNSeT@P9S&5eZ{7`ikUGchC(T95#}4$(J2lXgeT|6=aV!=c>& z|8ebmlaNHFl7yH_D9N1aL=uyPtW!yr2`ywBb62u26NMtCl4PCiS;wxDWZ#V$MV4WP zjGI~dy`1+sr}doo`Fua;cU_-9PDj_3d+vF?p8NChd^~r4U{7KzTZd=Wpq>#guXQz5 z)(`euCJGklAT6LG&g&Bc(>8wC$+6yP7sHep8|*240NgXg%q~lrt^ux1qm6g65;UcofJ3+ekOm*LUW2m! z_rImZRUpFh2%fkM2uhh6D85Ns3z)!`@{d2pHhxqMF1-r4}qKz;P|2w zZ)q%YGa9KI+%H>@kG*H;>szSY@PSu>r}ayO}~hpdk^buuxFw%8YwsdE^> z6u%eoc>cN?u81E$!}pnw&S@CE_iAd)ukTQzi*ki!4)aJw z=mhR+ScGO_Q{Lc3=AceClch|a)^%6wmQsJ!l-|94X3283DYO}(37T-Atf7o*wNO5V zn$m!Ucz~R^APEwx7exL8$CSEA3pB&OqN|xN?pox;(!%&Tg@Hb*V?qBhXLR;1Q8)M6 zm}rUDEwbrmoc&h{dr~ZiaPPoley|@IgiXT$cr+elDU=T;9n&e8qx|48GHU3))L>6 z4I>3_@1%VUGc977n+~-JY3{nZ@|kdf;?WZ@QeJkTD33;F6hGzHl9-3VysBB zx7-|ch!T?&$MABJCzvyr+1{Ez9@(gdUKIGF}81@7&V$q`XppLM?1B} z3;ms(grNVCxYYqaL(Q?d!B>Xwl!3Bf4wa#uqRSejuLf_kY@Hvop})l$i5SXt5GCkXmH|4ARog{G@ZxN4r2^eTKka<0lK} zU|5X8c)S^$=Ec0)H|?kFaBaHs97f#4Ui4^&-85udq+!0bS5wS2yWjWDEo@AoC*}w1 z)9~XMe7>fI+KZ*HjFUE6KfauMC!B9wGX7?Uu!>dyrz3p~@15K1-eMH|Ff!r-IZb7Z z;hN3>{M6vq10e+30TCKK5JrbWD1cS>27gy`_Oe#56(?9meu?%%LzyX##(ClNna*{q zUT#0QB>F8}&s1VR=EXm497EeW!O}IOy#7~v_Fu?tzyhA|#+<{6<(2C~7hLt=pWK)d zVZI>S!?-JMUz55)8jRL&C=#L@Hn^A-8u`|o#vOUkUbw2nqZ%lC==Dg$i%Hh=ZitC6 zqsoTTG$cS&bLJE31}O`WcOoi#4>U=^E@@P-e#EPv5*Tmkpuw=t)m6mF+dVG4V#3otn(b?;#3Cu)1E4*&l%uc_4AlG8iwJ?+4r%N><8IU;B9`T z#QAo!Lk8)m-Bc?IE<~+y0wSj} z%4*Bb&I1V{Z;4hm3rxE98F{)bx0ib9bN|%6_|99;ww^au1+Gz_7mKzdF5%Z=g&`*g zCH`_T7N(T4rbKdR1IeGekw#q#N1SCoxn!#J$~pn_bp0WFggQ>*iuS&1o&m4Se_cCo z8c~K=15Z{_78Px#QvwN+x>A+1B%e5sK z_QxXVl| z{*YLi;gwQ+T`8v~&1;1v@;grF*L(M!&04O|@?gA3X$yZX9mxovGhXSvmv#@33tKIw#K|vnxqg)G$8@DE1v;L*wdfV;T zM+>#a;!bmG9(vPB74=<*`=91NaU=CR0Rpc+DA+||z6g7n8dp81G+{ zT=Vh1vV6_Kf#Qnq%BCZHR3=L?fo7qj$8^kFeLuzAL}y)0lDX;3kllXSWxM=uZ(Ulc zQvS=uGhq)}PfHZITxy6WpHwXgsIE26D|oB!=Q~25cxGhcyJfi^CUW=9!0EUEHHWU2 zETBKZAl5+JqdL_b6#Ln};4IAv^}XtM4(H+=M7TCI3;9!O_#Fpr`&3oQA2xU98Qq3vaXu0q54^>!^zS0cLP@95-~VydE#@6oUSZ& zqp+F{W#W#Z(ze`cz)=U;U^=bJ0LxEX6|$@AICxuMya5wciSjGZOr)cixVe^VNT0^b zN~{Z>FtIZj@?8_{UB975B3#cRj(){haN%_q$Qs1{52Gn~XhsN_$ZyoD5w8TF<=EiG zT4-&6!=`LMVHJFZ-P*v|;pprszIVghj@MaTr3U(vzwUVbq)M_``k>Sn&{#*W0W5rK zdE8ADW)2?&kHId(0De*COdo!PI_h*&ax-f%h_J%# za1|uXRgcyR0J8~0(*&tTtCQ7e$tFe27{D>r8VBxZx$Mid|}U&3!oSFcb= zTDdi0Dv;mzFLN_L^uIz^&A}XhRIwL7%>9chB*{&+ zwaUqBEA*4|m$;6NrxmYVnc}-kWLGg*z&s;;EhgKsi5N?9cmsF&XG{}VBVD7%Kt}#O zz_c!~RPWYiRm&^cLmxY{c<)`ajR)M_DXZH`8{#cb&rY38^P9HWzPFGrt8g+=G+`{q z^ogerehQe{b%iWzzndBxsctKd-<-DaruT+z3$k`DJ#zWlmi(R7?=uBbX$NPbyr=z4 zXV?9JsQh>#B?c8;ockLsmrVl{S{$aXa*R+9wx1V#c$= z7vW1lhO`2VJ%e;h^Hm?jMFar`Gv}Y7Fx~SnSg74jv7Zu2*0t?VODLRn^}=Cad!0-q}UBCIL*G$TX6_3_Z^ez$vjycHp(yg)up;jEfihU+BaH2L-fLKe`)v=JM7c zzuT8SqzsX}MEf=KII8@YfCiOf>$LKtZ1OOuvAU+Y`C*#2E=+4?8!4GT(arYGiQc(- zU)f&rO$}K>BYGV;A{4w0H45H)k=8r@0hnAl%O|_`#e5bBS~p7yP*lvO2%W|~T{^X1 z>bZ?dtAa$^**=v9&37{^#JYW2h+m~U$l*vCzVAIUcQu&9lsf>?U9SVB4lzyj7_6eg zGL*9MwY^&BFZ#6RS=(Hd>J;sDh$ZQ7JGz4QM)&TH1tKpO7oOJG4#Gbp#v>h^Q-^11 zM$HDF&^;x$PxH;*B z_sZ)URpUIn{7fDkVS7jB9@#D}xI1!{_$95*Jzrhan(tx;FkSjXZRG)1`9C$KEZ#%H zHv70WAT2f{3->}+Q2E)X_3rC^Ypml}V7AA6Sb{gZ|9s*Mkv4>N{jrguZe(^+`6DXz zl}Sy74o3lD>p17{oShbE!MW)~Umqv=St2jg4K~ z*6y;~7Hy|^|3lcl@Hds=+FM&|g3%YoI}g(r5)j_i5K{+xJvtadq#YsOIQN3de_-%S z?s8$X&h3<{qWy+ickdnFKI0|=l5S7VF8;d|!0%|n%YkS#l5mNHTLo>vJI#$)+G%`) zdonjpEGxUIKN`2+taia_<;5>Tw<^VWZ(iHITZ@x@v<}-vX2Lr{|sOzOBaazD1fasTp`g)v{;cD6I*2|2Zto#@=64oOSanQp%*#fjj!(LOsn_a zcm}u3(GvRPN8McD7V=6d=0e`&vWsnvfJ^nysQsTPV33;>NXc^T?on!lt9@O7$z363uz+jklB|DA_K zu_anccHl_ah-xo`exmOVXD8v>->6-m#yowwVf|&hOH!S`W_sVdb&+tjRx)-;lOYIM zzpvJsKV2P%h-7pciu8_8hquhcnr}Wrn=saXRU4VU`RcLmx9x$+W3S|kd%}%B-YmKF zS>Qn-)bj!wBa{%o;x<#eC7|HM%bwK;+@9{;KRFriJ1zD^E`Qk29*stjC9((SNFaLp_{#?zm*{%u%(IqA1} zR7(}aqXNKEMBIhS!6*LK3aEoYD?nfiDC=8W^HL1>HcoCX! z`a5#=A3g}#nS=hgf!u@SA4Pxt6xY97%ejOvG7ieT{0&sj3ce`W2cm%*lF!w_IVQAF zbQW};M{(+4^ZX=jNRxxLZ>jzK4e0areiY`3*sEZChMxpBGn0LsomS|uDWk=zC$mDH z`iWj$rYdA5yYKGNib3_AL+=330lxp2AS^tJzt6abq8itnLLbH(?0p!hBiA_5=FSI!hr;ipTtE3Gz@h>yD`;^Ia6yafx*#-> zNo1IkKCLny1LfMS$p6ES*-!kTUCbm_VCQZoroM9t{X!HC5n3XW!_pgO6tuaqAhi9Nh$Dae z3=7g1X=VTaAoTx^>UjG7cc5_5oqj|GfKjCRm1BgdZqsakrpuVm5E5s7_#&KJ^@Xs}e0? z@n&ncZt#-GOI0pT$Tv*w8NZf2>@^Q4imaC&1j~$9lMo*zh1;fj49s8?`YM!G16PSQQmi*I zG10I4B5=Lc&DMQerJq=vGdh=vZ8EOK3R0}70l?elamBHZ2~{NOBG&N4$=o&s%}N22*OMH zuSN9NOLn_Om8%wBp$S?Yq;@9p1zlo8y`JQ}-YI zX)yjrx{ql8VTt5i$AqcHC`{#oj)@iXYCpnnPwchY%5!LO%i(p;8tg?u$3*h{rjC~) zuBn4QL_cg)CI|E53B=sJppAxt7(EbZXbHU>>{@wFgk1{`_SN%CWI~5VvXIZ zSK*8tJDc@}*&dFu={W%CL}4k`^bJ;QbfQNl(9nXo+}U+;(^qZzYa66NcRR;2$qBa< zrS6xx{S`T^2x6jXT8s?NIsRL8uIlIzGs@^)4qCwN=4SyD7PfMuS!r8|WI@!gF~*xu zEk>S~fbM%p*ucUt5Ob@>5=S?3^x>dV2!TJiau%;4%8SjZ<)N!gi?dS0deuvgrRH91 zlFMGcJF|XmeQekvECX|sx@O8L2n%Me0y^s}(s1P`M>;*QS~SYqgYSop*1U=g-2Z~| z!KWtj#H(dnD?h|b2d*VRU%mbpA-ITM0rjQ03hrQorW)eLc}+26o%Khh+Cz5#jUPz< zDfhw;X4C@76?)oK6)CwC4zTL)(Oc1T4H4u~ z^4t5R1Kw;;Ja#EhwKBXUPWQpx$>{tVVqsJdT(JZ<+geIT;-iaOD|yo09Wk_rO4TBN+;GUip941>ct%&!9{ zEi=ksdYd(W4Ebh6$-W8-L+0)HxA!2yx(#A zj1G}=3@ZDDt4t?#N>0wHQ0rr0MKkK*jdMa@EiIi5BqQbq3g2$PG9 zr-rt|*4A;-r2SiNQIdZee|>RIf7&Sv>=)+*a<;F7DX)1WLk6cyyQT5nkd=hs=LE_%^5|JjF*@l+ImL}2!vX9E|1iQE<+lJG`=x~dvZV>F9DXhx`e;1Y zz?KDnZ~70#6i6oL@Jah93xL;Hh~=in|K#akKj+{NkNHX2e-6Y0Y}faZ`&rnt9LgaA zkP!f|+(I&&kwV#MLD0-(-iAOXXJz&Tvgt}h?k9BFDi!Xs8uw~yqNvCt)tI+7E~}nQ zOgUCN9oE|jg?$*{9>H$Z3|V$YzELk1+56zk<23&#Q}$2dax)u-8`#p{Vb4dp!(0ZbX5H@uTPx^Ag9l zu1T$TEax7LjpRKsnL(L7oQ4MXtp89f{F9TDM|@@3FGFcBNV6hz3UfKc&Hf+V@O1RBX(UIWcRR$e(L*Jeie}bvYp1=CmhYEC?|{S#2kv;Z*_zt zHt#y_EI$cq$*Zfc1MCYw*mO%rlY4I;$aVT?dED{XKIDFp$7nP702>3t_v~DFElX&i z(m1Mc{eDY_iNa>fPuIeYjXSdbxoCpI!Phe0{O_O6zj9BlKo|bobOBa{-%SwU6>`y> zJvh@mu$UsTVgmqY(p&aier9KCSai95M_qEKLW=x~y?SdumTi_i^ZLKpS@L3*7*Ih?LU|&y zGbbJjRO6cA>+dC1Mo>2xka;Bkf{M55Mb8IZlXNG|I?Ww2egdWjv>bwwM=_+Mc| zx|1J&9qR)K5L^zpR!kQVV(DJ8BI()g12_6ZC)QA9!?&H?;$3!Lj9fPtq4Sr4RDIC` zW=#minz+;r0s1IT0iT>!;Lqg*VMs?{smBSF8;o-eF6-}{ylrN7cjAOY9$47UYjqTr zxz;%w^`k|SMS}jhh{vAY+8m6Vn4zXgbonL$;COCZdwk`IW}&G(AlrwEjQR6G{u>#W z@eps5Q3R)?@@wPv!%)9?HFNwr;5xlZU!6z$)w{yu_3`t*r={|jy!O2DAv?Tujoeo6 zg~2zNH38_p`;Hnqwl)rhP~%+zuH24@{{0?2>)S7>i;ys9HT_u0z*zbpa)#?T{NhN z;IBYh14yJG_XICI6)(z6tkKviDGFFz5khd}V0p=c7G*OpdF`7`CvKXh1f(gvKN?}_ zc4Ot?vw2nm(VUyD^!>HAV|0`GI_q85R=zA142w7;hIzJ0u-mxyO9t|1YWrgbqW@I_ z;>~lIgItnDKrO%k)MgTYW7zq&ROR-o+SBF5K!MERZs@2tV5L}H{#`S^ceK0 z6MS4*cC>#d)hXM`?!$s}r5A&)Med)9@IVYti9G3TXzPy7oCZwR0db1B zN;vS|=)yRQ0P`HPtdRY+(;^Y^oSO8a&Wn|3bfL>Bqr`+RLXf+Y+JIm@<^&!zO#9sA$5Kpp!UMGsFylYJI^b>{mPlXokPU_rwsNb4Eu6fU%frz+n2vb5m4Xg!r6@B zoFeoZgI=C_C$bW?{xCgl39ZHluV&Ncl$M%})6sS`z`Wkwi#4yhjK0m;+R3_q=%|H| z61%i12N{ITQ7!9nWrxBC$RhwBej%SpHQ`g4X~3Cpqui{hQbk(fWZEuTg=(ITtRp|x z3|o1^{6U7+M07zJGljpr$h;bDH@?78U@hfL&?bpKfLm5-=bxhd=ry$d`indOtDOXE z*qb`FrEeyj2W^X!`d4g86QvKCHrZBimQM ze5&_rU>*AiK3zi?z_gdXXe+xpBw(P8;%Mu_O>`Ni|n0D>DJ*_qO2w)MG9)rNAg-e;e;Lb=EPwxV*%g=eLIxv;inHi=+eh z(>*uZRPBPw_w$mH>@s|OFLs)*XWtP1<($+8((NmWWP>?Qgu3RkNt2Y<@mW2D2~)IE z$}M?y&11taUQ8NRYM7Ya#|j#DbmX{XW!dvif3?c5tzqix>64b`wr1^>UHqF?;?tz2QK8Oa)cu@2Z19>8jW-cx{XoykFeVn`ikSHkif zb-WRCW%M8e`?wbrQsN{tvd%RpR znPHvvx_QrUI64mASJ)C~XM{@$5Nwxw<)ieHQZ!Ycp{@h6vgecvOnU`?#eU`mBrG#V zOmZ_g!opnV8b0H{eRNM4LVAR+aF*q-8H;hSX-&&$W8pE@JOBnfY_cV zf((**QXK1_>w>hox0AXkM7==$<0bM=DWtBhlM@$2a>fy&-Lt*)%rrVol9@TLp(Z zSE?KR!g`|J&vOF*4YmX=i{TUDyLa8bbYu>)wD4_H0&|=zBE%kH;w?9|j*mK%*TG`W zAKF|v#hPZ$F%{(>`b`|4gdar4>&BzZgUP5)$5)TGHUt5hp4iV{>wmAbTW z=VNo}BKyYdExMU)Ls4ZYf6{V-0vE}w0U^~5k5rql1IcZn0%#@(_}`_k)Z$Db zIGz(4p1Z(o4toh7gsel`(O+--nwu~G4t_kne0Tlydi-Yr6$w!O+_C}9p5{kL(GalA z(->8N2dZsmoT8r{;)HJ#nh-UILFXt_!8mnU(I2=73R-$vK9g1;0dJN3C0iPFXEoU~#U zR}&L@%q+yt=9Wad9oE^sbQ1YypF^y?cpthH(J90h_X8h~q&anT8L&PJ_!72p549Ct zW!9c*a5Q`~Vp2x89-lpKb#}p7L%D+|=Pg74IN+CAd=ys*$36ip z?^#N_4$XBmmh2X~5qpw}@!6Ew;v#;oT8z9tJ8Q;_*?S^VYuWA9rTGgUV!E#K?L>J| zs}_6~z_l&5;rFAX28eNV^2{2L%;rI#Uij5Oa~ry^Q>OQTt1VFbZ6fn~{O6eP8PKcT zh3v=9I^H`^nb`e?GQx$X#8-p4PFK>Qx#`Y1(b@PNC+D04*$=XxK`zkC{6sLn+|ahz znm>+YH39z-rr{Ytd2fc{Q)rZ_ZD5x@c*0k>VDfiV1Y#skFdrMeS`G-}DkqNXX91mn zu`i!L_YVJLTorrDIPA`6fz^3DFAy0eDD}Tk;&lNZe)cqxx3@fSJK3D`8;!yolfeKL zmiOb{!v;d5R?Iy96Ax==EK?6Lql8!tSP--T8HTDM2NRw>t7 zggqW|ZC&RoXx6^Ptj5Vvy}ifAw&T4;nmlS$CEqp4ZdUpOKjg{ALlY}Zwq`#UO2yjU zm6cz|rm3zGz1(NBtwa;fcsMs`elwb1SD;l&3L<6H1ZvDdMmN}+Muog*h2}r$mG;Sv zNHHBoiQI}5H8}7lD<}D|M2N)Eq#fZx1N$s39?_VAduUXDYIe^wD12wpmz2h& zp=f@Ad|}Mf3f3{Spy?abSkC%%1;x~prG(jSzS~R|re523apf7I3BO82dp|pi2cm|) z`(RY0FPti>v9dk^x=>FeBJf76k1ZFeM_(|i26=qo9>()`8IBk}E=v};~&7HRs zEuwD(hQaSPj^Q&!%3X70%HqCBbSchF? zZrk%?$$5FtwRhy_Yc3BgP0rg_PRdZY5Kiyh_aP^IiCe{<-4P06Qqp>j#!`>Uq~1jf zgn!3?v0 zSr~~0v9sa+RJS`P;jD+Y1?d^g{+a@;zsuZm3!i4+jt{Tj>hiWJ^mOf|#OLHuYwFJ6744Qrpeyi2N%!&9j`hgEcu zGuV?I`zG$YuE3ziUgMnDKJZ*wX)Um8_Tu+b(S2c(3a~dQMwh8YYxjwrh4X0#G^nRa zeu3y$)kQ@I4xI>BI2UI8dcYOC@A10cLLBD=zn#BNGN_z#!Mn%i( z^lGanhDgHPdHoKWvm>VOrn=n1Oj~K=iP4AGYp#-P6}&xqE&jf+*CNhA{2>;$%b9W= zTB?l6a%-vQf?9rBk0!R;(*o)#;M(Htv?^8 zy>+K@RdJ=kajSC{?V=U33r2?pev)DTlnrJ=2}?gq83F3ncpmQxssKeFAhrmCr+Nxh zZof9l0&|A>Cwa;Dq#5K(=_~Viz1V(W_w}0?NJ++m8+bR1y^XabL?l(83C9$C3ps)GY>=x1-nmXu|uv zmZvh#<;RmQp`HC~OJzQ#e~rz`t&%TOP{u*9GohHqu%#&-*ON0y5;^9houhZ+){}_h zUc06g;n=AnF{UwBl`>lQS>T8cn++DPcmp5EKMgXqRpT5bsNp29n8NIXK@T@lgtP33 z)zrReVmCktNDV`DnGeupKd9LG>~-S1B8dK{GEJSs?ICtd_@>F?QJNm}7T3XPg&BqVmEr-VWGS2QYmOcri34sTJFv6)Z@-^!o)z^=R_)J)T@ zXutE_{8p*epA7AKO!vxNX)B1f1XAe1ZQkJx2nCmjzW7v8GZ~H z!vXIac4j_cbK^oaHN0#PBsFk=%v6AXp#$(k_1FoS&jL@N^UzCCKEZkt>K~k@j1<)u z!&upZ(HiOmSx`gAnX>KA|hu7b0=zzN7=0ZVr z4iO`JZ{wE(9++e*jN~pDh3KHJ*gO}`cmu++!$6q+ zIIFJ@jW~*$4NL>s2{<BeA; zw}yKI8tf>k;%7}`hg~5MAKjP)ds=_LIZN7i6`%Z_CaCPk)K+`42Tq&)AcEb~IbK+( zjt{!Q&${^lycg?ojwve}XX2TYtO;CKmHbuhsXIN)astHH zr2BX(Ji{BG9akDBNSrJAM_bS1I%q~97vJn%-p3vz4Xs4*+5 zzrLb=1>AL{6*^D#msD@HhKWfSx&pR5I?DHKp5F=C`Q5+NdZn1|x~&$uZTp+kVb}6E zM-blp03OoaQ8;YkBkO7RmP?f&JE++PGasn({3`Eh^R5&Vto2QE^qh-Zl8uaP-cVOh zVc_kd`E;WHhPKgKT49g4W)VzG!6XlDxEn2QetLNIaATRg_SWR{zwVM>e?EN6snKg< zRv@OV9;DQBrEj+pWj&3G;js~ zJgs)o_<=3?7Ey10W)#y&Um4K@n7^>1>BxRpu6h?=76F@6KdIXR-3^@c7KgD#9Mmik zM$Xpvd=~J`Aq0cH=U;II=I`o2WtP9jnk2Iu-j2AucLP>n0nb=A$(Vx?mA^71*QPh2 zV^}+BY4e(|4y;EERQ{1E%H0M4A$y_9CjJ^|WL{=GBEt1;9%T83(SMYz!fw(yVU!? zCZs+x?rMoh#Axdcaag7)(DBJhNd&*vXQeUQSB|WJN9Ug;@7XxgWLgtp*;de|c}D@N zIKg!S9{)1e21FQxH=&uwWHDZj#%``V>_>wZek@QOjbSY)^>_pLh&#CZQ(*E*=9|_@ z`*|{EZXy?5aJg$m&y?1#4-(8BT$r5K5kdR5;9;yn)WDup&0*vvYh(otaU3No4GN95 zEo@uf=V0P3{=)JGeK~E!zjfN^-%p(bHY-1;49n&5mjL~ z2-83Mdf;;YhrtuKm6wjDfeI<}kqZX4C(j6iXvCSqK+h}$0VF#jubt9gKTT!Lu$>BP zrun)p@&7oS{AWv|Uom1dqgv&-tEePwpj=ySXK&9az8hBTK8snwO9*Pc^`V|oJY|2| zJlUMGqPR0RP39d?j-PzXe}M+m1N~K8f|RMEtkViPuya(TC(d*=@a88I1bJ4hbwTZ78dX2{ha8=BCj6l zu?gyowRH2(Z~bw>TxaPIZD)U{?myE9GNButqskRgq9Ly1oj4f68|r)wVGHg)*fu(( zH;qO_TH4=+?^G5LqR(?2T4Ks_dtdJKwQ|hdF<{#uJ%exYx8paHn5T#<@oK!_lC^jO zd=}uzErnU4H8B?3AU~~sC;zv19-C;no>7)P-)s{+ek8PgJ^%Os-B#%OO#Gjw@7v5| z-}nzQT|CKFY^6A$gxwZTR$+55keSzpM@~eG;dg-I)0m5RteV+k|DCa8sNC$}QR?=P zYYTsI-E~D2&0mh;VDKk+U~ZJ?kIfM+hx|H416+^`-5dvvy!KbBRkmJQPdCp(Y!lmH zwDDK>V3l11+phj~H04J6BeD6Cl3L=$S)mCmA;6JO*o0GI9&t~H9cxY$2DY63HN4I- zeD}k1M^Bu-zD#DLc6#_fN#4lvOcGZe!QU{~gJK3juTJtSh+zNxT<{!Ot4o1+$T42j z7|0iRgy^5`d2sLW#f&B%^g5R^5N-OF-DsM&$HQqD-zIno+alj5%8pdTPxT``a%P;C z6Qec8!i_S$Vl4EKKjx1AQ+r%u2x@qD2-FSrqbVtFh(1y|B7nN6Xg>={U)0k)dz`wl z$V@TpQB`86+_Lsph;d8WKwRhcbNZ8G5e2`N|IOLZq2FEFAGUwEM2X){0f_8fpvJ{! zi86FJ4tAuK%1F_6T;#gQ+jzD7W+~>>1JP-A*nFVQH~RumdZe?#ER?b<|WtYt+wr z@&e{|opHCQ_DcATiYq*wP^ab$t6WxrO;lziFR15IpNAEG#H=7RphdX{={g$`Mm%o~ z`H$D~TXC>n#1wCTAK=xc4&5-(ZuI@K-J>4yodwz~%G(~3HIcBhOz z^6bM~N_h2F-j~2&`AeRkdg3c%K}oy)uZ=1Vjqi-e6ngy)sG{vZpo*_4JmaSOG2(6p zv^HPIBI|yyYpYa`XRR3QF;^A8U%q9#nBv&zGyjKKg~`u$lp?plF+iO+@WKfQ?uACc ze+VJrrb?rdy=~5I&3n)*I=Oq>(#Ms>Po135b=p{b=YE99>HOoPon5(oZBc;7$|o6* z0Rs4jyN-9qMaBu%(tiWg{j87^PVda*h*I9TNFjhPzGVz`lG z0lpCff02b^n9;;aMDW%uM7e`p8_14VC=7&hFs>j{NEo8Xu2AMQ2N`?05yW|?&go%ILOaAkDla!>>vt20X%*F z>+9IN%dThO#T^l$@VFGK^CrLL5qdH4Eg2NO|w2Js{NG-~`R zigdyoO7)adY#12`TIAbe%>ox)NkF;^eIsbdZ%(_V>yP&h8~f&kaCd#6FT-XV;tDFnkB8ZoicI z*oCt4o0rYWfTaE;kfMCveRZY2de{aX7(Lz2?*c;ZvGiS4x}>*bMqv2 zKWA8)XRVZBH`~-DW`%c**CC}o*k4|E9HvJ=xUtkd{R9)o;U+r=udsh2wn={;>=gE2 z5Zem=kBh07@?S#P815#lc!?5x2h#Rr02w^;v6e z7HIZY0Qf-uS_~|YWw5O-wX^)L&nv5!DsNaY>uosLmzoC`*g% zlJQ69cpMfMu*kmZN7DCt;VhZsW%Ba!JqNFE+A~>RyESoTcLv&Rw(YOZtcH?78I|QI zfvwgU&J{O+k7icx!XE+rM`ZEgPEz2w(+6*ZcWI6a@x_ffLE49Xvov#EqW1~StF$(| zbSR!N4sS&gHPpB#fG;`6MZn%19Sf{E+-3xOSzS)G9F8ezxt4$lyS(d+SVAOXo0e6r zQuq};9Duns_)Mpm7VG_d!el#6=?B<5%;MotvIJpMc-!zE;T zOGdYVdYdyT_qFCtkN}-Wg$yU}Oje(FeF={r&%rDJy&Uh)0-HVym}VkpKzSj&78tby z)!ze|gukg9XwCif)g#bd2qj~4%cc$$&vL(Em3mlG=~ zB1NExyBtMV4FE43Y|5zb;%=r9bGx+i`?0d5H|9rG9OXkrng^plIl&I~v)R~CB>c-~ z0rqh4;pzZ|6XZh7@Q|A3mIeW(6_?v>gZ()oX2Kmq#w4^No$o$>u{ zpb89>`F4L6NI3!nA94!;7K@VQc}Wm(Zn_kjIY`ohqiRHFYRK7bh~i?@H?yJK8B3>G zWy(0_{v}SyQMf02Vwbr|sFiozYW?7xrueZUA|haKlr%ZK<(6De2{sEgKnxouZTtZj z)K3XQ=b+f*3{~bGK&S(}D9FQ}LwOXs0YpP6PU}yOhNC~7E@~Qdck7XnvcK(4KJ~-P z#;>^7*Kb*Pr56{^KdRV!@Gfhc4hDJen4xooZO&M&;ple7o+bcxV1gRQH^=;)AISSt zvZTOid?Q-_^_QRVn@T~X(FZ&fx;5304?*t%ap!vs058Ggp9N${Oi}&-iKnXdZLo4_ zHmZ6YHYepmWe}WgxtB?1J8`!{6Z<|Q&vK0KCnBcM`<=S728Ke0M$GSZUt5>6y?kxq z)x-u6p1hoq)Nm(#Sl_K6x5wU6FL%T1MzeFW8c7PoWO)!7eYLw9K=Xj3TeP4JO%ntB z>ZrBQd8|FM12iqN%}CGfBKZz=^^s8uAAY?r{{Eta;mg`JN){$5`lY%QRGnnry0?2^ zkD`Rk575jW4B>GRnlFBppC;Px$6tfy6%fBYQt0;(O5{6<`+s%!|8L$C@x!_Tzzsp| zl;OyL(b9f$Ac&M6^QC}f+rdWSAiPgg-$gOXuJmx51iUGnQ-VJ4gt>s^kcVx&X5DSgnnIHv1pQTJslqnI%u9YzBQh z>dX$xj8OM>GEl(p)G_|sBWI{1Ciw`iH_!ehG&s%ILGgc`UOso{-^4Y~etgWI0{)%p z-1iRvZghyLkLc9E1|u_#D1A#I8)`s_xT;#U&%Rc56B;I?{gA>`jQq_^odK2B%Yq?` zHS9Ku2EV^Zs6ytTxbmcqI~5uLd*OQ(P9l2|8DKjGlX^>|#ae^Y@t)URVn5bZh`U@N zzq;i^?ap$@K@;EUxlbXE+c2SFlqh(QhudXe5VL?kPuk*AZ&V}~jTqQe?#L>&F z^nuQSZGrUOep;W~hmad9gP&g9ef#Jp=0UO=ES|)FMahy^;@2aYIw%QP_TC#;*ru;1 zCuUQG_tE5Ym-N>shX?t*4&6&O`12N|hACg$ibRHnG=5*RI^@ZWtElPR!Iy2yZg<&u zxZ=d{^V~-`8~My5m!;=+>Ri(@yz=ODih%aw5@lF^iz-(_mi0=cOrEpX?U$WP9`PF~ z=w^b;a3ne#;Fy%?4#0w^sq&ZcSbEgz4e1f9?xAB)OX`p?xiN+vU=}jE~#D zi19aOFB-BUwi|=d`auqs-$Pvm<`ap2Dh1TQDP*w9Y__p!Y-q#$+# zyKK{on9(Z|uk0<}OFz6?dq_LPe__&=LV0ADTJ7;nKiwwCiWG7UNYoA^HWPnfY1o!v zx#WQ74+R7kTwnCF3^8CV2e{2|MkcoZpn7C^Sa&XlJ_`c$b#r~Am4mF4lN?XZ627#G zZ&^p3(G)YpHhDXcF7cZ6<3xu?VH%>c$R77 z=dxdZ1#JC1+bL65I(WCQ!omxi;x2A_DzfyVgEHN67i{#>pTv$^h{L-n`%FeK4KH8c}@rH4BmRjOmb%iFQ{abRv)Ym&TnBP%P}5V zF`|#_JDskv%;fGng_}O>*n#5fnExMlZypcz+W(JhJCY`AnU#AP8tmW~wj-EW**<%TrRGZiv6Sc;$sl+pQ@;x{`1`c?)FY$uy`WFwH!| z#k-dmH?O$oP17L;Z7aQ_eA|ZXs8wyIR1>Y`R+DGWnyMmSp^BAC8!&NnJa@G{T|5jU z@3HuB8O;sX)1NtTZ{0;c*?sx9DeIqz?YZ*e@Ne70kt8Ov0YZ)ofA34$kq%A5BMrL%+R7TqpZ;O z*i7fpN!CEU#{hOzz5lFMZ)G-X;$r`RW$-HRZQLBnLl2_@rDA+M9lP<(FkNl%Q0DZ- z?QsB4$MzOuPZ$AI=wDYOY}5V-iCg9*>9)q4-EadcTb$wl!oLaS_0LBG#dS z_Sd=O);0RFZTdpir@D~6xZg6M+nSfrSgj+2JD!W`w$~<`g!nVkM1~AGM}xNyx0Z znPOxx=<4-1b;*VuATd( z%bP|$9GK_A($OY0Gu}bDrkLNB-_eGq(XwU%y>q2 zFzC(TC`LroMYP+WUW?2_+3atuezh%_B7S;#>gvxfoB4jK$JD%x+Wwzb3##VG{+2)5Oy_5d}ef%x`#fSft<9rC( zl|%j->Ufc33JRV1+&!}ZEYQ%}w9^%swI2kfiT@r&@~6-mhB!}&hTmh}p;&m2bxD)tyS3e9&c2JL-*_ROjyt{K3J(+1CJiU!93Kp}5 z=E2)PS^EjdBmJN>1xl=cNl;_Em)z%%nE9g0+p16lzJ4s6$P1ixc_bkI`+96Cwh=2a zD?PeIz-$5Bi6HSaQbCYhR8^{zj0nLl`QW|yy{-V=U&^1bwazRzVe?tPO)v7JH{F#y zm&FG$yOGfvLfy+oF9kmpk z!&77jkV0&Q44AI;HE|hTTw`W;rY5x#5wbSn8Zxl$V5@T0m`bwA$D>G6gwwf#XdOQ} zzqOx)zu3B_fusCInBl=1Gvmd7<#Ql_4NJ;TOA~yJS=1A7tn#mbswa*{jwHRo>|?r*A|SIo zRiPZn$Kcs+&vQ4*&=S)Hhx6spfr06yz(c=7gT1H~W@@W(lJrqiJdB`&W56TXt^?yLqFr zU~xby3e;rE&XA~LuH;pq&>p4wiY!okk-nL`g>x8meFe6(%hNurTspdW;Q?TB=5-0o z&6X9fNy03!5+E#V_7+ZlNA7b-_{!HdjT_QhKkJo?8Xo9_qZ*hDzr~TZ&UU`9!MULz zv}2WOh|D&~@BXl@EK@7K2Pc}D7JQze0SzR*YaM@85w$x@Hf;Go&+EMf%VS{1Ds>C? zFfR?~DhRFt9Lr37D-nxJb!sxXzc-SAp^Lg4GSd6dNIOhde%0qNU!R1CEgQvMdqovC zWb?gTG_cI2f#J;YM|)P{NJ0QG(GZS!Uc=A<+)3D_EsTM?kP+Lz^@}pHdTnNLgwlD( zmCsDlIu1M;62DNGqO=ccZ75FRyBy>f|=Nclr*WkjEyz56} zRMzLUEV+5Kl;EeaPj2OY@&={IvK#OD6~WHJ0o&^cu%Nl-ZPmilZ~>}=(G6<%v?Z3~T6 zO{v<`6r~=iE?@p^ZNQ%Xs7mcqflWtOMz|1ONF(# zc6fF=w1IO8N(U5Aa{5Be8TQPq2h5uNA2v1h*ff)j7_6d>{o^LLZ=6mH-&S?~NDyBg zSZYbkK`4b40te&^ zK>Ye$1TD-v^H>Ee5oj2?>5jdq_;0SmPaA0#P7c;yCvH}A#W=~ON>C=V4fI{)CUVyt zJHRW_^jI=%MW~=6FajQY!<2VH4?A6iY4x@Z$2kF{wj&)Wbz-TNYR2Ms#p|L^iobQ3 zSoxk`44~b+sLOSia2BHVCjf;PXOHc0A)#6|Dv7^5lfT9)f$Wz-{ZyEh;)O*h z7!H$N9wxcbGqte5SZcz_NY*rbwZG6F5HBVbY! zK}I54%uf>*>3|mXn1+NFo6+6;EA=HyntETh@I=C=qX_QE9 z@l~fqjM~i)ujnG@B#LuEvs24@>Tq5C@Gip4C8LH54crJ9TpQO6e$=At2us!Ugz%P9 zCBO2q)?wTL+g|wea3!ihVWhu@2yId0+Cx_}p*t087ZVm$M~QYTLf%=<7OQNfPrnm$ zb00~0;q=y}@}TVYRgn*-wj7zV!FaQJYmgE!0$AcBj66ahVj-D!dZ>xJaKF2T2V~5c zBy8#&zNCK2uWgz6^WnAU*Adk9L|b3v_b$!r^73F><+5=?+dgdfd#o1aG_mKT%TuE3 zp(q$J?QeeIF0x9lu>)5DuIhUL9BJ|ba@xg(%8fAM>XE?`edRM+1Tck=<6QhFK_eiLR}8J>n2kIyJTBeefn23j6Zz;6CkV)xd)10h&n#5BZZvzVqP>S8fhZQ)nho=IPZ4R^GNqvQCH>>KFdCqbShL=FA#tyY8JuG@&h%fiKb1r!AifHvU7tF76o&NZm8+iBV zW<37GV7Hrb8{)~dUgY9$y2i8s@J`Bf;s_41Kz>A=;|LW{u+3oMNgf^Ss8ZW^>P0?d zv>FZU8v^qPArQIXo31f;GYc0~Z0`BwGs=~-m*N(cTi)%~*{squwX~)`W_NA$?%~#w zW3Z@283ID{b2ku}X}XF$Jh+$lWsuvEOuTi#9R`w8iX!x%?-)2g?c3|qtsag%ZFUv4 z7~{Z^N1Ih9t3o?zHWo)-a&Q#YFRH@UW*S8vqhh`~56+c8d-A4-PsbuAB;{^#K*|YS zYH?fQyL&KC`BOu5-SboDp{v!&DzQ)D#`MRGM@;SvilHs&lRJ6@fOU#su#$4ck6d89~y zt9PE+KApd!$#4I$^Zp-ybGz>@tDrf8ns?Z}-vmBLE>w*rtr{S-4>u_CMj0~t`>wDS zqPG-E)Na*pEg3T<`<;05c&febc50&rUik0aRK%fKs0I?4sw>Gg|8u+2Ie(vi0>=03 ztkvtD6`Qzz4{SxLls`ua`L7S6e;xwoW66FV0bUQ3q0O$4Jouq%#d^<*L`uM;M5};@ zm7wjO_4HDKT+ou>{fm3=>nQ^10%T7Laxr!h+|Z4Hj?h8(Ec)5tk*3l%b{MHc$}y<8 z#nr{T~^NC*#_TSIE;gYhAkUQe?#wT8gDM6+-*(tDU~2apL8%W zwzQG7UvhHg()E2JF{gY-1el6F_(<|uq5u>Jke>XyiqD3$ksh3Va4K!sc_7h^SDrQK zrS#F)v_Bn`CzAR~9Rw%NTw$ko*iG9*R z0U%SD_bqLG%nfuBmh3V=lj7$g1=7vx!TJl){Lw>a4=1b^KcF%Fto^_pceoWpp=M;Y zoo)IxH~ovpiD>lac_Ntn;AsC&?3=X%sg#D7&~wGoIL$$@KQyZ zVa9RqoQp+W$yk%Cy@j{E-n`)Y$sNO|A_V>E=&wnhZ!qdOnGq!-V2*eSF z*ri<1K6PCj_%vYugdszHS?44ksQqTRCBDtipYVO;?=Gb#-OI-~_U@!bD|Nni>m}#& zzXGC*z_|ulgGPR8S;Ml=vqT6IB$L@>8oEqTC3P4NdIXw2(XRd|X%N3dQtVCigX9dQ zdk5aTn&l4Q5y)473i)A5rTykw8Aj9NW+*<7>{$!T<7U4gR5#1%&q5t!7KEoX7fbST zc~6(KwaT5bZBEZ?`WIXIuLNG$MT?2#K4bG!Q;)wSWzv>4Jr}uy@k1; zYWx<|s`|U6W!ZecD7Oe|eo*1-?7i%bXydLNWJXV?c#Ae)5~-yaqr(8 zK-uE|h@kWnIe@`wX2k>Gya?0DAh`S63KET9up7Se5rC0-W$<4ggdhobQVRyl8Yr&p zbFHPzA>j(!O{5l0X=}s6zyRBK-8$YTrdIF9f3IIR`sx;=Q$@5tJn(n9D35k^c$qrW zs0TU115s~~j4E&%S>Do$44l&))9ie-b$wBi1I3mm!Ohvc^T=zx%WWW8Ua|*L2D(09 z`9_Y>&BV~cH0@w7)1yNE6&K5%I=M)xGdDEjTRGlP|3V&?)?^6a4xXev;eqwdfKz-Vj zmxMfP7KY?6l^H@k$A)B;vHa=Sdp$*}BG#Xh_O99G(9%>peRG>@h@I%F7v>@MZe{TT zl2Z-;XQh)iAhQh4Wh4-{@c?w@>hw~Ojffeip&K|-92E&Ax5&nT*v1EO^}qFO?Y|{P zsgG%sRvh-2KPZbD2pUsMmkyEhh}A@)Ask2}J=2^~Oi=7}_-IBOb_{N)f9?}kyXTI5 z_bYX`MHeM^W*szL{^dkUy_NWY&y)`)j@s{qo=#p=xwQAf)-1J%xM$ODrk_>qE%U#$ zTzabL>pZy`U;yWa4!^jt^9!8bZGT!1GyDIA`RGUG3p2FSuRY(BU)Q`)kxRcFtaQuiPJ-kEER@S z>8KHJjsRML4nl&J7)}0AjFzU9l(O)_h=WN>9i#n=YDo9)t0}QU>H8gGK4w!^?UWY& zWApzQ3=x0Dz1xu_n@ekwPKePp#-sSQA|_9Ld^cQ=0lu-aaXm^uuQWuP3iMG)OmlM;8?n0v}yJu zrDrQ|pS`YYYxn0#{lU-Qp7(w~DJ>lb28b9%cur*SbA&1Yq0Cjz_yX?|DtYEEo@#|E+DL$b(tKPJ4eIyUhvr9C?ka%pA1J z6StKB9KtD--I+tJ84n&5!Ea4YSX=w;7M4uvIdnLXX}DiB02PWGR$Z~9yUz}k53_)Ak9nPqss`Z8@j_^AP<|eyk(Z(`*BofhB-11~dck*`ZWyc?7O>2J$d?YF zGFRWoO%btK#Sf03R6OpRsA-Z%r5qT{F3Ya0knOKDKJYL-bimniXTX_Eip^@@oMqD$ z@Fm7qJ|7VCyquZQF9j*$-G2&E7qSqJ-2FVyYq$aXS$PIByZO`1=7)ge0JLyiS;kG| z72^8kkRs$^;4la??j&MsI5(bGl)4`jRB@}a1lU}b!Fd`f?86^q+otM9#|Ipx4n zp97DiJkpAzhvJ{wLE1X$Ck||nQj&Eml1p$+)atk_mylV4Z~X>%qxFI-`w-q56t}<| z0UH4ygycxz8Ubj$&i4qoPPzOUZmIpsH@p78XWbr040|jCNpXNMSIP`rg>6T=oAD7k z)L+dMa94B6#qq!0p*txvU`5ybVwJG_IvKI;hL-~h$K|(G6UM8z*wR?}qJ(a)qHwUA zuAcK_v<5{;rCK$+z2@{#v06)m{!xVhvR<7#7tBxK$t^0#8_GUULVSJWc^ zTZIrm6jzHp0vaM`;roLA@ES+%F*5TRm{D;5hRY`6dZ#!h@5YPC3U5IqIN{z=kndTA z$TngSIcgZ$SzI`CiY{K+Fv7Dp<9Ku^fe#WL#<_Lv{btFVEe{>}z&xaW?cF}~i}Mu= z*45l@i6Z+G)rLNI5Uq85bM+C5bQMHeWmX2u>n4tp=e@z>GTKqv!^6+e)VJTKop9zG zb%QX17m54?V3qwvPrz-a9)igNJ#ZCpgeq)ZhzE>GZF#(O&;T}j844C$eH7W+E%ue~ z{tN=r0tvj_KQXg&KGXLegH7b&fses{ey>M z-k5V=rt$lC0mE6NE#PaPa6J?p_XcL^xBkU1U->Q-z;_-2iu`DJH5MREautGc&g2N( z%DjfKWJ5e1H-Z?^X&7;B<(Rc+ByTC*cRk1L68}4KJwqeSA;R1t+tw^nt9!8f>50Ip zA!L~M-K60b7rb!D3qtUd(+X>EQMO|{R*nqqcHa7B?d7_2NzPwPHBpAMPnC?`)M z3_!Ky~q3dYS^;!TC%gkN-WWXp+D!yzDP%(I~Ro*c@JL zvBNBZ!b&E!3Qro^1vE;fbOdoDijx!P5-5B3cD@Jqg9~DRm+TAg2ZT`_DE3*%h@*yf zq>WXoh7sClstIgrz9rZ*wsrl}iMh1|-NQL|Q=azRb>zPrKHh(;A5>D05c2V=xv^xm zyy=wGv6tg{I}$?>QcYReH(#!ixj4YS(LdnrOd|T*JnAaQInP=34KwlA>ri6$-4qhc z=gh!A;HN*X93Gng)bCB{EnH?XnA6>pNTwU$k_NuvwAu7dRf+;!69hWg>konE*6X;l zNJ;}63!zv=y~qfzH!#-EKX)s!4i__dHEi=vvJ21}Zy=w)sIE|_;kZJS+qGi{K;ORaj5A^YVrkUc~qS5B{ zFX;EYN6p)!|F2KYH&Ko6Td;wdnrjHaj{>pixP7d|S&{;Bg)i9|6rLlkT4n{E-waf2 zwce%Qx*&1uDb&x1T&-x2WmhLF4{Xn;) zf7R%zG0p&+SaG(Os9a_PvK0sfegvK|iEGdp50n@@RGAO@d1JBPl3x zpKOc14sZb9OPIW{sKJ3wR9t&pC6z=iHw(2wR5l=uKxjI}?jK}p4)N|Vw2VcOvU?<_ zcF6V#MW-!F`eHVJOMfaKu=H|mb0>)nBuyoh_N_^pGR0imLdUL6!@rf+brVgsQr14Y zZ20403tRTH&*@oDGk<+g{};^ee2Rm)4)ROI5KvMo!%+l5tzH$ZOGq^ec&l~$ztR2#7({>U&j%+C0c}QvX`p_CTxp3BTw{N>o6Z5K z>R~sk)9*Zde7k&I5#zAs^JjGcr}?ys4k!hrnVR!)A-ikMqpV<^S>v{TEF0Hv)zKgT?tJ z5(Omlh*<|e+Y4fFew&qAF>bAe`(}^mut7Pl2q)Ck3pp1v}3R}k$cMeSDQA|7h zH#I!PD%SNb)n5Z8;6l>x1!xFXzpw5bVEzu9N$lhebZtqjb zimlnn&{ZJLlPvgt6Dy!k9i41RaL_v&jjBZ9GQ~3)gXMUjveH+dw`~8F=R3C z9DSi190q<5sr)X*0}-0lwx@-AT-Wp&dJC?gCS=t6;;zns%*lGP!<&02d?Jndbt~ST zb;e%)^8HZ>u$U7L=3qp!Tx1lO=VIu3sQmzqb-0N!>Q0&#u6L7*N!KvyGFF5vsu4>- zK4GUCjbyvQD**r@;ekzc6lWiZ!A&X7 zU}b^R+ok6Ho+XEOz7rU}ix9-@2Cr}gt;$Yn1$+m{72Mz39s-QJo{F@#RokXkjJbyI zi3{0Ine~sdTFW)g9C%i_FyYMh7k&RBmZ}6#Yy@s+4=(~YGO4@$E8k;=RcRkFn(Raf zLoyF|P;x6_Ay!BYQfAmH6(o$HQn@<|(i_n<6Lrr1Ou4C3oSql{=0Q~d;n4?OCmBAr z*TcU^p`gv=5lcrm=|?EZzAd75qIC~k+$$GcO>h$2{zWd<|3BrBdQEevXXj^O@!U=S z*sRN8Kz0Cca3!qPjY5D|`H1}JOZeE9$tL7l>K?;H2%M$#3Ex$@92xBzA$HrLiMadO zd!IWV-B$i_R>NJX6S}$`VUWvXr0UJ>B&#TAt(N^ds&+Ou9Eu_-Ylc+d^vf~te{_P1 z*p6L31)Se8JKF$110iTFq1~Gts*kv1#yVH9+^)I28&NF0q-B`RIhgIova0rrJ^$vK z=xVj8LWS}YVKC#lUHDhT_TK6-nl!RvX1T32vo-T!g`5ATD6!ZG^Svh5V-?WX^(`&M zt~hK6-Yv%b%2(ylPKK8%vkK^hP^<>mq?8o^Ajuf>r&2usBO!EEyxYFF{pJfqcKgIs zKMM^F4Sy0E9{%hZ->3`@k_$+VVfGp@eX9`SXsZs|A%Yg6=L0h_3}f;5R_3OU=Ysq1 zdux{)Mp<_Ey^+;AnLlvm`-p!|(iDMU8Zy*@_>yu42Ez;2N1_|dSR}$SeTC{7i^@9F zHHw1xRhx3{S7ghgAF|~3%M~oA9>+G4*Xhc0)VX{tB15?Mjn=2`rOZ6| z<&!5D*6z=|?-%Jh#K?7tPQA4t)^(65iE#wG*#esA5f8_mGh2mzR0rx=YbiEm^z_Xc z-Y-VI%}9}EN^PzZFJc`fy43fd-63foo(G^L;1(nBEXE2F5guvmCCb$M^*q_wykRZ! zqh|cXhUduw40`Ml@!K0c3PN|~A~X#YM^Bvo53d{zfEd}#V^!pZ$TQ@{XnXp39Ls9> zgeP=|zC7}Uv#vq8qGFq{ubNuzVqQ{n>1pJNF(P!QjE64rT}A*OBDv|<#6lJ7jjIoK53Q>#e} zOg6O12!xL6;aV%@vAz}|A z7$xQH5puaY#f3?M3JjVv-Lo=Gwn(LzJn7c$yB7OWqUUMZI{x|Qzn{Dcs{(=#jnXX` zw`Q`FsYfq0iZr&`nSx;NBvk0jvkt|%`JR!BH4pZ8)ryw9D3?`M>vtt)!tVH@?<20c z34M<$Wwjy1p(CJ;XW%L-NhSBR1|kHNzX{JI*1#Ifti&~h-->7_H6u<_(kq{x2{(NC zBFI5$se1Xqp3%3~Bh*k6)-|>Q*ngSuJHqnP)m%4LO(-nG^(C=RB=(vuLf2G!x-gv+ z*V^7vW#sAbzdRS)F!1)Mfs~Sz<(_IOcRf{WUJ9-!0hWU{Ji*qNt|vDVF@ouqX0A`6 zbA#np*E($EMw<>cE%Hc=>Gz3GRe0-s^0l>JmnCv}sT!D&?N~9Wse*18&$6~|;Tk-0 zI_gxosenF=U+JoCb?)vcUOullFH=*P9H5`w0X(n#UGT4B1e}@E`vqY5 ziKixnBauB>r~=h$e0u>c?{N%A#l~uPW;?pM{4ms8seK~5K?a}Za+#4DZdDztDBIPU z5qo19Ve8Vqn0(!YD!768S{T|=P=gZgf+nx8bpT!)vSv)n-eFlHlBwPirYI zg;}}UVP0dK=oSfmHT_}xiqB~tmdy{^5OJnP0@X4WB*HxrLF;eV2*x^^9u z@X}x*P`-JJAUGh#&B>fQ;2+Gi7l3163~?WTl7CC0h`RA*n-D^NM{qs zHvT0cx2PZYaW#C%gdGMd)im5>?y+yM?D;=?{Th@Otr09Upfei7>IBiETosZ90=(ug z3;%c;-#k$p|9L3+Ya%eu0Pg1Eli%X{0?YIZ<%zJNWg-uUhg0mp!~vzqJ%D&)VKH)!WDFWNM>@9WExD@~-UXz~6&fyT zb0a{O(#F+>AA$M*OFn=U^{;#v33U^@zo!G3UAKP?Kg<0w-;d5bEVY=WM%`jJOD}o` zfZM{GT!+HP)o?VhR79W^{utx?8?MM6)M!Nj%wOV9ri@uTfdLH+OU@^p#GR&!7OUl~ zrX!Yb+4^yZ{>J9rh&=)b0~_Hvd(86}K=`i{xp@1pe6}DgPu&X*k;hR@pyp{snDGG` zx6^)1Bf#j=i|UwSQ`@lO7|;eA`06u4P%fM0U7wfuO8HpNDOrn>rt@jrNcohDyBCxXPW5DvS&d}cs*_%TSbPs_pISL`TiE5b_ceLnkmO@T` z^c$7P^lkf8`yMYRF4YH;*q=->@k|qTBJYv+7^GNJMQE3zYe#wMj4g&xG?gGaa{1>O zqY&&Hxz)C|r}ilj6zi1YUaYjgM7nsxX!Po00tTco&SrsDv*K@=*jg*2X!|>K{t%3& zD_zLGqP+G(>x}nXqNw_G>SEKEy>@x0Ui8F+BB%x=%yOi;rvv!IYVL*iq=vAyLRG^U zK4xB^l|lNRCe064LA`Z+huhUQ)=8aHYAY zrc$S20b2Y(!TS;S-Vb@!f=eBf$BuE1uQHKa)pbhAM7pRWX1QF5N=ITFxhDyg?~uq9 zMX*;xt{gkcCy~!bq2}G{E|<@$Sm{_pn_^o>cf66i)k+r#Ts`3?nCywt#!{#P*tN4+ zv8cWr_aHAER>l~SpwFzVcS!Xf---aULkZNXU9TcWm_uzbrzoac_=Sq;HZCjcogRp0 zdv4!D-48NOoc%52Y2lALw8W9X!eXnShHJXJHnb2k%S2AOtge%9>5Ca1tkYJ1YoW`K z)qT%j2#73}&bx3@@Y>*|OEi2FlYNn@!BJGeADRvbT zA5yG(-=>DY%3mkq_M@95*G9ci3{!759Jy5XrcaMbAFL3!k^a zdXR5LK2A(SG1Gv?D2NDQpWOu~3QpT%HuWDxs_fm&N{ROk-+TI&93P-)D$~|PgaXRv zHCSZ`a4U(Yz>O5&aFsQ^6}GC(!N3s>9VzR*Hkk`6oaKU2C$y)7jh3gHFWX?)^%2_$ z^8tzYOqiXOe7 zAGZz++#PxEb~m4b6JbAcB%iITy#XrEY%50kQL$r!;LdHnfIHA2++ z#MFd=T}JBjX*=s8uV`<r83Y~I*KpNF zEE@4Hx_!>yOh`lP*_z*OC2B=oE@)V!g?WAZ-11?yY|g4H%YKalr8u$;y5%u5L!P{i zkgg(+?L_f{41gnQ(SHJHl-l$w6=`Hh$(Jj7%#?S-qf`d7HiZ2mqDQYGO2vK5TR5DO zSkA$V&dMm4$wt>_Hez1%zfAJ(P>K|j&AYQhDSk>GJyu2S5N87lttwYyyHxL3jq0M$ zwsIeeRe4V@(h!o}6>idSqO7rq9sBT)-BuQI!EQBfl+GPUvK z`B6E&NF**7Na7I{Wv1%IvQ|C5hg$#xr0_pN?r!-<9Ky&&qDq^PtI@BJ|QEJ z*BYwm;bL?vX6dG)(*2=beLLiRrSm2o8Jpp?ynI|wIx^=Xw1nQJQze6d41kWBG&EKz zgD5pgH`VVRGmEY}aJ@m~?1cL{KWY1}mk$eKn8(ju(Vu+yHz@8NCf-F3s!*rg5gYkGR8#*-zbqt-RR7Hut}<^e_^HM{>3*8>WMvOVPIXaXDzez{BoISt}U$b(EV zfnz#)@tkQtknhhRX{Esbsm>UAL?g%g2fy+u4)+U3qVgRp74ZmcGa_e}!bJvikU7RM z@t~LNCOeS%A%7G(H@A(Hc-1ImRLPC*{k-(L>AF~IUekV&eKmK>H|JN)MD#S$AJBw0 zqd!rkJvdszj5s@jEW_4ny42RMo$S*&5qadxx;i+pA7D5QxYs!RAlCil0m5Z)s&425 zlNDSHfxt(|19W_tz!Ei8s15`(3ztKtt)hB@8eIVS9mkjJH#$BA5A$rhs5OKHe7iau ze27VAV?jaWDrN&m0!pt+^2Sr(2D*^u=w5B>(Sex!k=z*U2_J(H-3OoF`%nG51cZnX z3aT!yh(EIySKOAMC#^G?UtpWi?1MRBdDAhMuDx_X?I@VIsgiq&pLLO1(OOf)HJnT7 zR-;@bSDVU^2l)YmRm0;Jg9>iIyp{X%WuMr{4=csM{V!H(D17rwv;(-^z62WDH^94j z*FYh2Qkwt^JOD8{LJ`zlf7~Fzl?hF8jB!mmn2P{PqKceGp^hIh`rxTLBbW#;5FQsE zkpZdC1Msbxro!;=(wIQloW)`!I9zMv61cgKw{f%%n{DH|8_8fGgI+C1vCoZ0==k&|B zT~b&S)#chqp1&zy{1`ge(oUh*$=Gcbs#(=mg3J{jjPLHUCF^PEp1LMa-+D{3(C-nw zB-7i&Vc$^t2h(9;QgfX3rjd+TquINGUpPhuIUp;jNLyqmkx_b9bQ$Vlp^>>+I1Ek43>f__>GzX z5-&$&nAu{EleoK4r%rE=ep@oW~|sRD}Hfn+9v+F4*G;SR>A^U2@dZO`LlE>sD_Xe30xu| zBcHQhOP@T%KN&zximP%LBKi;?bwMU(08C#`5`uemx(fhwo5|w(>$m`*3uY2qn=H%H z91JTqRLOHwFmt`C5~4~`MZCV_kbbW{zHQ+6&Y%}V{GcCa?!lVJXz2ISa5X}A@u}@9 zTgRIdgc)^(!!O6VQgN&$Sj6>D1D{FJ>4t7=3R5f3g@~29YE)h99e_hROuD2j#}IeyW1}kt{;0 zKT*MG@B}Ha&Miz=!uHWzvu@)Ty;67jcNj9Jyyqxm4CA+z4TzK**R7&7A3Eu46GLaM zF{wPBb2;Z}(jnKb#-@kFF_mWm03g9qoOO(J1cjeQh|WWPtf{hcPoYs6gb}jvyD5F2 zTz161Xfs7E7wXHy()lS&zmC=tsd*=<2oEr3KS)rl?o)33xZ{u`S-11XFN zfZ|wnpcP~{h&%+@K5e>-c!{$bbsvEcu9ZC-^ll!~Vf*DXc@4^*QPknzE>>eJ=XRN# z`k0}jb$7$oTOsldW`|Cu!{d5K$+!ClrVagrQVg?Xx5uB{`q96vIaL&ZinqvToOzV- zrExO%{nWDQVR)G`IA)?uqYAR3vlzUHaYcM}q7V zdSt#GGsa6mGamscFG1xlZ}@%vF+WU`PsfDOdzP1@zBEyyNGrv$grMQwW~%!RF>hUe z>d`BPb|&(cfMlF6WO^OyN2@tb{O1DEb_MENg=qa0);+`&_zABH4)HfBl_^Cf~gj;>iE^0=L0I z#v9Htj04odQ6EOFz<6>tq6uYd9lFy~%s~6?xfk24HA^#{J=eJnSnYk8u>Yu79X`qY zm3`1Ia*pGyaiihBp%oWG2JG!DiwKQjL>`Y&xz@Ea)V-jqUe>MMaU(ZlBxHr3LG%4D z4Ul38_ZBJ~H)78$fFE6U@B$)K!qe))pbpY$1j^&u<^y#Cc=%%^HfL<4gRG=A5S@@$ z%pq()ra)g(ee<*KI}B+3zB9-^o|Q;?eAn$w-8qVH-eexb6Ks>YLBcbNBcp;fyw6w` z#KS#Fuqw$i)%l#Y(`d?y!Ss8D7wTmCCQv8a%24?YjNL5qDPA`2T)OJDZoSe*eaTaB zqe1!QUgu_#W3~82=UtBy_rJUDo}HJ}b^7C_+*3-Nn}SYBWQ*&SKuJ;zv0&F%sZi_w^^sUWeb?4smN;#hSJo!8-3`shKXPUesFV~mD7{{?6gIuUGT@gnKdDXq8O>;?p zqt}bG4y?s(m%ZM3aa=7dSC4G!*6@^lmAyKrXVG`Na?Vi;IAX`~;G&zdvWTPxXcI9a z^Kt1-6MqenF4sC$nwVLDI%3 z{B*}?Qp2o+Oh}=tj(9N4gkJ#%8O8QDj7Dm&IZrJ;YU8`{!j7)i(otaaMSdt}qBCSp zr@uE_)z!xstuVWEnL!!0%b`?eZ#6<#L)x_x`&(17Fg>2ctiSh|u&&vX(tT3m;uFoviyQ8C zN-j;H#Ui^N8oIz;IMNuy4n$y!N1!cP(6ye#8uS-(=vu899E*6Ech_tG088QeL!0d? zqfLzta(ftxw1;BDa;|p zJT$z%8By~3&$wkyJ`A$%xe2(@d}n$dSEi_mxRR{IizQLR5xF72pbGbT1Y^u`nqSC~ zuma!`Q9hx)z|LQxYdP}VO43th%91YhG|{2`f!jDqyS{-XI?7NU<#u|nh%b3h^e_uNH`JRe%&V9b; z^ZR|jf88E;58m(h>vg@Z*L6Lw>v}$E%ad>B+XdHyrpm{vZjP!7e~z2KEIwDQ-6(wz zo}7S@ttoytM3iFH=E@%n(2EJ&IvYI3+ABf+!sUn zOf|HjnE)l;Cn9QotU zhZO!fb~3jf#hBg!8F)o`(9url1V&qatiZ(D?$$M4B5R3ouCU#gYz=(_xCR*P&iaGJ z0U%f~(#5g^Lr|WXe&ZmdGPBcYn3K7Qim5&Cq?jpR)!*{AF%@nR8fz!=^^RzfXL*O< zb&l+33ZVxuR@7kfo*K-19Gx3Y@ultu{f{D&J*At-^XJK1A7NgIlZNA(CTjUd;(dWo zhV;EogLMDH-6_!@3^D4l=BHfkBo1ctIL&6n4i%hld~VzVU5t086+#%Tz3t13X!`g7 zlL(Lqx8?4?NjjSgf#@De+mZ=FeT;VdS)Mk;^~+k?ncOVK8}(x#^Nh!^MEo9rC~Og+ z#yiD$If}QU+i&f?lqA=+m4A-C6>q8JaabF2@v^b~YpD|2fWw z63I-a5LU#DDz6(_*K0I>!Oecgj;qxD@B&djcw0Tcx{DopuxG6jQKt@eMM=w+VUNpjN$_UB zApsa4B@4j#l2+!m%j*}#vc5N0c6D<+lMS+{*-P_T!@MuU=zC9tLMbRDm9OQ+Th;)r z1D0!mmIsFZ{?&SG_{ZKu2fhH?I|csC$TXDx6oASL?-?Mfv|X4u25gdtTt2c%GG}q0 z2xgIs0*e)8R-*FmI7R7zf8!_T4zUtTWl zZ!fp`|NP~?te*??M+!2*7L}f+ouFSJ$vmZjt<~#7s4>DB?+Dv=Pqy?R+ig3vCkSM- zl_T3_CXo;!@3ldnpV!$~giYXy)}zbS%Jcff)8EG3aoVYkdJw*SEgwRXx7sHgtH?T7 z4EML27B35#w$2t1hMLpU-+W&z+y+KUs=$CEi8P*5`M|4H z9*2!JsRNJZ0%aT@G>%4CF@j;XknIS-CK=+68K|yPtxZnEH_oJ&9sDXoPyhU?(8Ct$ zzQ~ca$spD$a7-k&1+dxXKM^w-0QYF<;T59{bdo-4q?|4@P{x^&N>$l%2|Vxf3Qd$ z0%z*i?V0I|XZ)rMSm)8-&_8=m=z9tJv-mZQ+?!RPqw97m{HpP!$80U_7{Z(yPIe{~ z29!$E45^XT%E;xt^>ldy$M9d<*!Ma18?bNbIEuOAA1sU)pt)_GkH3ck#5b&0NU46B z2RzM8$lR;76NzMJto(Rjruc`OkQ1QJC5U`Z$e`C>I3pk_RCJY?l+NM9&n zvJN9eHvkl=ID6bKs$k17VW`OAV9aaj$`CuFt8OX_b1#L0+~LI+MTM7Gv)7wL#{1)? zh@aq^Q<5!tNePyFJk&7D5t4|BT(u|6kd#xTWUy< zC1Qj6Z^v3u#sJv;ZX1kJ<`aMb+3XhH zHbq$;swjRqAkTT1{;MH-IPX%ZnVxB{N20YP#o=nSL&Fi`p*}~C=DmuYaQP`yAdR@r@?gJuP)W!?A`TanvkQ!|9jqE4C|R)S z=Kf25`|=NN``5_gzrI1AAi&%FDvI$P7`{O*%3!Vm!zwp{%Z_NY=s>9ObkB#sFpJEe z-o>4LfUUO8_qiVbgckIJrK%$UhS!}!*CtC%uJp!0=am=~HxEWB-MDj36CU6evG3Js z?swKPNo1aZeADyI%|oiq7PV9T?MwIn9?1QA>8uOn%4GksuD;qo-$NkfMPS!oApc2J z4a$UnWp@w#c&My?K2r(9|6a~%qIDpKVo0q8Y6mtw zn?G^9Z_zB|*yklkZwi~-rsCH7ZqYiley!XLHv;8mvjk9XHX9nU0OjUqF07;H-7QVl z%FV7mrp6Ba22RG4<2iPcma9WOMHG)(EStmdE=?ZKL_DC-EA>L*E%Yr&j5$oIC+7TF zhfEQ#=bodb{>lxvf}fmwPBPi*u&7JHfi8x7D4-a3Y}C2$W|asl<3p(#!B?nim_PGI z=VUu_+tfSf5ua;$7FuFmuX%gM)gKEvf=+apdt$(+!GiLX^_R_S)MqFqGJIz=s`4zt zDeaY1Q~ZNXGk>t`-~QtTz62;1ehTfsx*=|p$LGUJ4QSF-{mSH{C;_SuK0`1CU6bTi zuhfo9po2=ECg8D}Y zo9EhOXl?Hhe|dgMxlQRw!tEYx!hT1eH#(33v4EzCh~x`O^^kE)F78)<@SjCgp3cNw zG-ZS&<0Z&TWc$_dSUL}6WHO{w4?k$75Ko0<*@P#33Ywj{7SwutgfmL=UXfWN5;q`C0Y*n_4BGnWpty_JmF#t3dH| zslCXe&s1sfweR3x^$+)d%p2tUe~Fpp7@06)D}%St;j z+nBB1Ln*1$YQw@P>+moFkIp@so#Eb7b9@F`nV19nWXj5WncKzj8V6u#Z9@EPA33qA zl`Ma;sI21*Zl|L33A_E`HN3^ob3%+e=MM(G_G9N86OVc#Cpd}1KScc(Vfqa^xUqX@ z17O6D+C+a8vaL4jt9L%Gs?3O4$LrhI=_H;Lc+(jf5|F^o zeVs=r_&Q`8>^i*v3^<&A!Jr+A`ZrYL*9hTXC2Gyi0F9jOPDi$uL#ZW%0T4n!IZWx- zsN-3lliH-xs0>%TIFHMwX4(^VuY*!BvyPtazEjOZ_1mYXHKVby=vfF&JN{TC^$<3E zg@xTB{wWK1n_zm=8m8USoD6MRR)ZVK~pa`;6KejS{{6&q|$pNWKTP-J_)vg`VS!NJM<8=Zkzi zFp?w|m>s?0g>CKmP6} zmv@z$UAfsVE{+x^8!o(zdb257=TdUwx?6fZ_@?>46RjsdM?>|3&h$N_l;BR(2*x`y zkh#lKt+u!x&D@IYEq1QK_F*eUj+ngaIY@dF>*gqGN0uJy8)a+i)@&3WIX`uPE!Y^U zLpLK`%%t5%RqEnwpdps5ByM68MEMabmmU+{0QVO`69smu5$kmmJ$%W ze_^=a_%3``a?%Ari=~`pn>Y!o|5W*|DFO(aZ(F*G&0!0?840iM>hTF z9kvR~Rt+iL%Uw6F95vlxcjN0Z(aFR}uHo+$gOPm9Zj=?s!BhjfP^_@qSXSHIA%tpn zk%I$3>sP}reW{jt9wo;}>loraR1o>(Ley64eMHS}G7TS?NvdXUpCsL+v?UyL=Ag#l z3-U?n@G{u+(!fAyqocmA9jE5iWCuIqBVmZDuIGZOAzLK%6Ky}U9g|ZCu1x3IGIT%Sveu;w7x`+L9Q5O$zYMJRZOy~T&!*;g)a6I?ADJ3gg$lJdnZ{+ftA*dZ zybwv=VI}>TQ|rXzM(9w;*-H@YhP~D}Q^^G&&So9S+^#`Bpu>M8a~^H-M0*|0 z&sb3vdxdw(g?S*(ND*y!3($nLq)6O)H!|RS3zrXuE8m0wtHJ|}4X7#{*JlMko7nup zQoj}nC9bK);ME}@sQHXM(;9!h7^X^lvuRcff9=(VBDjQL)U$K z?3}LyfFNL^E3f8J`3u<9ZD=MNbWw9VF!4&T@ybZZHRQ)+c}7-XE}>+;AAYgK4{%1- zB<-p3AlauAgc7Nvoq3s>Tb|YOZ?KaeCsIokx=oiYjSSjUA9Dpeo@3L)&r~ z!SK-)|BM5^2BZ4^2sN?+bC+(J7Dec)u6seWTu$rmX7SqkD51k%`wE4_-i;!GN&`Rz z>>TF%Z(bso4b%4&4A&t=NP(#e@Exsmg~*3e&o9)q>!g3$oRFy8KW-ewRe1EoIJab@ z3d&WVdN?&$U79ezg=$cb+N3}<9j-xgMqcg(={qanvl?tJL@UPG*tEZiSYQs0@7i~k zW)GDyzTsun0WTHksn zm8K-!T;nfa_ad=f-Hi~*%KVHg#LRxBU8F{uv@u1dV86|l>b;u|C18bZ!@Ydd?28fJ z2=9A4tbLE$65vX9senoIcd6T#7WiBLJW$a7Z^n$xr@<;le#0RCqLDrRyNx|(_BP|_UGcd)|0j67?nkLzxDwzrD&63Wls2VN4ZsmHQGL!s=K>a@RC& zax9WHaPdNpz`d^YN+gYod1#i*V>;8Vh86wr5`cboI3S=Fv8MtY4U*OPc4<8e$J%5scjYYMcfssII>Is;oUvR{6fzYuVw-jLt zyyM7ED$i-Ceo;yg1G9_+Fj>8+QaHJ_vezRX$=QVmia2DA*U`#iH}`PIg|DG(tK=P8Ky4*F(D&UL)N$T&08>~E$IARKF%M=$MM9W z=&q6LSAH3p4`LKd6s>)E_y;pfs^wWr^wzoP4R&68qq7TPJcNyb>Hvl&!Uu-56;;77 zumU4k^C(@EluF!09yKBB*UEC*6?oT&895%Dztk&@5248BPji&>di-{_`b9(Z(P^KM zRsD6}P?{0H2OVL-b2ueq6+0QVpw98sy6c1eGaFO(#h&(05}Eel?z8uhDx{hrMH2EA zo*$w8)(+Zll<9ad<@FaYWuvK4hdepX8!>kKZwbHHkKSiIu~HSjhq9A;7NCqnr1&aW zpQt%1P(-wVYJb*g^Kue!yqpmmIqPexHb zQguf3167B^kV2k~RhCM4wz#?t8?FDam~&gZQS*&oT* z*<0&o7O*hZ6_9u1YrJz~UUO-fOGGS5xei4=1Sj&mMRu+fuYzj}CSB@2GQY(>LsRf0 zCeP;Koqa{m_J=P&y`E?wJ9*UR98bm3nx@(_IZ=F{VOwwx81&F#s^JSy%&2h<23^ie zzL=7l(vyo1g^7F~l8Kah>T5uLveB7*I?Dr&;g3v;S)=Q$ zW=*8Zpwqn!h*agivOj9kH%PbZJ(yRL|MXUfZIWZ3g@De^*IXyrHVcQ0rJIJE`|_|$ zknha5kzKBR5s?f!dOrNzC#*xR{%lqg=9hZR3{$o(tMoG7Lbuw;a(`Keb(d61fu4b$ zwOOLxv~hFr6RsQ?*Nl^!9*7BFr_*SM5mr=f6732#|CQ$oAs(%u_6eyl)2VHjJ`+dj zC_Ve)68_fR^U)ddVbAz_D>|Gw7R^eT6WeKTfZ*O ztlEF8KxgjYwU;*6xz)qCZNvzvGBsBCMYZG_)f1 zoMF6D-(j_-3BS`hqj7WpQ$cjYY=_aKhhj1CCZwvWfiNcH2z`&`717%9iXJVal~v80^63-q?? z;eMJ2|E{-H2irak1y={q+X7MKdum`mJl9Nn(m7c#>%LZzfLnlofMWI28+SV@^$uqx z8Q=31)=#jGl~c_Q_f(!Ef=EdL(USfP7X+e_{Av{YH|0x7f}Z>+^l!?SyY-2>RQ1!} zl`pqtf6IabWm2dkWCHQ^NPRDuH4(#m`)GIyKvr&@2%(zIMV(&>5fu} z4sIpHVvlCnueB>rZQ}5|uf+!wN$Dm%?)=hHL`{V$H;ci+3)!_h&lT=$nXTD!X_HvY zgROdw2@3D!of{Xm;XI$T_hk&^nB!Kj>U;dN3!-y-SF;$-VN6!NrO%u%v&2)p$cwavh!}oc1r|VsI zn5ehlhLJ$(9(1^BVFFY9V*0nI3+hl136Q8Q-fhM;1i{j{mRGsMHf?i<{%;0C|NZ)b zN_wR^Y^;iI0D3c^0k~z+PDxNw_=zpf(}ycb3aqPBR4^ z;z~r%cFbo;%^fIwf2J^E=!;i&aZ7vd#}ZQ`co)%)lFGm=F?KHibyMoVNcgFR9VTLV z??vRZLy2+$;x~pmtdzO7s03znv33O}6a!HJ^;!auV@}{r8TC@X zNfxax47PGivF|Akt+f&lSZZ~XBHI66FRH!!h_0CbT= z+t$9$5%lalNp4Y_tRGx1ez5S}w5#W&S*fkM%JXUpZNj~%G|F5LMsbhfHK_fj!nU=% zwjBk^Y3y)jd%|QD!$^PYXX+k(Qf(45iY!IH-0@mZ|5CKcZb$WN8OaDOv8yPRh`Qki zTQ_MslP2q7oTY1hZh%0GrbjOr=j zXrWcL$J*svoVO5c@H|+=*(|7*mna&lA6}`~ifPC8A!Q#%AzMT?!*Zd0km`5p;;D@z z=yP8FtZ#Jep4E}j-R&?rya!nQnR&Wf8bX&U0If)p>Ckom&`B2{ zFboKoz;V)CnX|%$D2p$0!@g<#N9*OPq*G!I<}&<=d*^38-XR-dIm)xCK!p(Aj;1Vp&y77-+ge=t8*FTmse$^E30OYA zN`j8fb-)*PFI5)cNfEI$Q@TC*U@AGXs-XXV`kHzs#e&Y`yq*|vnb4k&*a*Bak*b%mFWsB2gY#CEP48Xf+MI4*>i)}Vn8onl z(}EQ+4EGOE=_uH-0u*S9yN%;pgHJ&^=Aa*;S|6+^8>+fBG;IdTsqT|PMPJItk(O8a zm^GbwANFG!gTB4#7;X&TRFt3{h4WIup+|v zr0#AK8{v#KW9~2@0W2b!nz=R^0Rx0UDjwufd`j{wk2Ly4l4T_MD%JQ>`LQ#*>yBH8 z$C>$S#W_6ME*Bp?^yOCAy9Isf!C^lT==r%In^6MHef8uk^Yue&#pK@5eCSsC(O%$l zHRN>l?zb=Nq`ogQvGm%PUs4kEs!<(NDn8J3qR({ItQIK9^CLvbu&Q#-_z_bFZ@wUP zQ6Aq9v)PT9IJrh~2d5{qa z2|`_O4G`>oc<*qjp)XsQ`d&hM`X~4BJvB$S;Y)IH$}!DHTKOY(<$XMH%74={;~t)c z!dVsBipV~iE;V*kmLK6w^|HwVv*g)no|DGyv+6gk#Z1l2s~sJ-6h0CAP3LTWY{`WN zrKe+wKv$DE2U{OqZiH6NfkqC1*Du6DgNG@iz`CX~50+K0%k9eVP_4;m{9ZJjyO$sl z>0Ex;({=CmmCCl$)|q-)W|=89FEx&G>x9nU->PzaGbXBx!^S( z0=q<^$NJ?r49$WOTc|f_PSa4*NnB9*HY)3=uS4zbuYj)DJ-B>(GXcs~R{nw@i@tBV z zVPwgQ8yy1|a9!%!Zf=flwl*Eafo%nss@-=Ft6~#+<+OK2iMpl|*~yqu7!gzeHiKL+ zwK@~b@IjcI;Erbc7elH*k4U&6&sg%I_E}j+Cv3*;lFm7io}QtF&C#FsgEEQKaPxt~ z?@LSt5uDUSaPjGo_=sOeMDgq&fXRn zcR=q)b%{A2i5%R>MZiu>{k6zZ^G^h=?T3f~lstaEIlf3%0DfISURDRs$JWDkd!DXQ zQq4+o1J^`--~7@*Ub4Xb&*wAq+hXs?^2^*yR&~FIhFY=YT|Al-azu% z$XwDLUA;TKJx2n5F8KLE;m1)e7Pz@DuoajEe`GFG44GMpTRgT#Z#PV{TVe}Qm&W6S zJiX_ukVo4x6*c6TdpL*zOFN_t_D^SI96f86R}j(ABYE8PRFu}+KogVC501(;>8^24 zd&gY4Y{6E?k<9%eVC47r##b^fH@x3`({I~8TEy8)q*VV>`4Kq86!hm5b7VbzW3pe@ zOz6-VmpXQ-yKJsC*%~@x&!Y8g+fQskUO*1A@5GU=K!V8THjO^Roax~uIh=|1#~yWw z#ICl&L9kn>Pk)UjC^Jx0ur_)1%Hpu6LE+x^879sSDc8_EHMW zkxw>Icm}24Pv7zBGAh8Q+0|f7Ws6##;bn7KIxX@`WHR$3K*Ryf(q`00aK*1vF`fdq z{H?X})({<(xBQbpc}pmZ5TcpBhLpO{en;K1hA%-Nbg;vSMu2}yjzrScS%Inr)gYON zSr2k~HOlZThN_)e-b}#|;j*m@1&)hKh!S#%vp_9qwO*6hmIHb<5(Irdx-cm#{p}Y9 zj>xwfkIqa@uqa&FUXs+7Yh`%#7KvqVdfLA%fZ_3Xmqe^>wm1(h!J98orBY=Y$7?w` z!yK92sYeQ8ss>VZOYWDbMXnd3%**7BR+;sP=el}r#)`&~h{kv*%c`tPR|dsJd~PYZfaE9o39C_!KN z;OQjF$@%GWg|$oI6}fF#x9Jb?Z!6Fus1G9wpy=u_(l$T@I-@FE0qcX+BygmLAk;`^ z_;Kb_l-=IJh!kslBm4EDhh3_=!l44jT37gwiUCxPr-iQEh8ju!gGE5rSz*{;Rkjk# zWB#@M)if_tsG!3+x!XJ^{oMP&L+sit&u*n}YU`~XCS8sULdui$=|Y91$!ZbyZl|TM z>OO!M4vmC#E$bc*b2a_iA5ZZu8{+qE7vm7yyn4~67bI4d7qN~oYtU#NN!d@ukRtUS zX+Nerpz&dGs&@_?e@&ubQ+4b93d&xYg^nnd$^P*2Uflh+x&Zy%2$g|jHjsE z`CAex2+~m&SAG9kP#GCSfV63gEm&?R#BaSYFttbDOx;1k>OzHqS{d7Ec;GPCi_ZP< zUD}yhuQ-NYVZRJ(g-UYgM^L6GuH3DEz?yfe`~~BkyM^|sfAR2a;Rx}R=e=~t-*o3g zylbDO2o6;e+&H6zL;d3U5_NvZHuJpv=qB{V?414vpR(8456OwFhwd&td~+0shHozy zm{}D`WlMT9qbd`SI%qmrAFW&~b?(!FF_EiLwf5`JWbZ>%B^z!WOdjUeGh)nSC%Tt2 zp@vle$o|0i2+NVfuCk$-o1hDt)>K)NN+r2f6{_Bk{aZBc&lD-}yh9&g zvr~V4xIkl;RjEyRS4;v$cD;3PQ0d~d2&~qHNLC`;Rb{_@6Rp6PVx^KTl#g(s%0VSx zP3r8`;(O;C{}Ycex0=Pr^sS%M#{FpBYlRazB&cmWBiR6=bP?Qa;q4o`ByL}0PzTl= zUD@|P=aD=MLEoVovvpMh7}02^jTTj4WJb49pUvLQ)S{nyqeI0iR$AQpo^=?{^%MIZ z{jPP^W%xhzNS|?bxNl0sL2!!b^zf>-^jdxY7uJGtT?m@_CCrPb>{+qwMDT*5+?OJk z!6V2zVVu!hVnZg%LEp^GZ7rSp)zQ9MCuUy~BH8`-h3@^q_pUv*2?N>+goYo2A7gUC z_ukvU@?6etXlQHYCH8bWOicJ&m%$`6Vq$<*csgko$(o@7?s?BSV8%msUg$1O1<(tx?5_^H-B9Q~AEGcQ zub=CmU4>3?zj{TVRU+XVnz=(~1jklbFZ(&2u*cKvqUsVVAFTHhbvgGI#=%TGyKBtH zMMgO&v@XIxP4~dFTgE+WY4>fIA5O5;{S9?~RNqfwnD-$1jh@5HsUflVfs6XtUQYz( zqS-IK`*80}X!D&Mt-S`eaTZK$_g&oL9L!a-geJPyx&in%cL5eYSOsP~>IN=ElQWkZ zOlrgzR?YA7L|yW4Or0s_jeIj?@}-V_%V>i5E%(j4en0n7F$$zt=YYTSL|p5YQ9nk? z)dhOL7Uw$#h{~oY^hk%ZMBv^5_4){|rgtUdU$o@wO{w)1Q-(hbe}EBybA)c9L&!v#YnGQVNpxX7p#A-^RP@+g)Su@uAYYyj>qLqA6~;_p-!D&`Sp| zn6JRFFxxD_iykAhj=&x)>*-!3eF`)TC73Hy*!1~|#WJ~FKE2G?R`}3xu#f)iV55Qj zMpgwow_ZYb<^jWBp;`G%C-TTtzf#hcl%&+UBv&C_-D^h2Uj*|G8t%HvlE%Wqa+IY4 z>#>fs+STxtR-9(2{}pP1(Uj+h3|`2N8h#0_XE%oP`@|{6x7;u}@s;!bC@y!|P}9~( zBrny?ycBeLmF@KKE=N1N9XTV&yG`(n*deKUfx2tS6J^kv;jOrvm@U4Kn0sUcU^|yE zM2qv%FkNP6TOL)j&+G62PpMg(S9B5nvTKt!tNHNHTvC&fRA~u6y2!9F?glnU5AS$< zrk&Z#6zUx9X^!^IbQGyKh$7Z}7&;&;sB(cQ72*y*u(Z#9=_@dx)yqN|30Q4IJK4dKS+(wMPb%HD#)q=w;)^FUA*P8ynTdrFBwt zUk|zlkRe2l0JZJCcI9f+&XI8C+Ta&oV@#)tm4l`Bmv+ut-rnl-+VAQSr@gxlESgD0 zp|AFf$Ab=0{f9&$}(Jy3p<@ep+fj8-f#3Xz+sY!p9|JEk%+2pkZ$ zG<#EzzzcF2@ZEUadsWY}c5&NR5qdn=&z5e_nrj`yE15n`oQoWAW7_dC;yG9WqSMQ1 z9aycsMd^9*J&X1c7fs_hgOAe<3i~i6c{l0p3o7t%D3CM%3euWNILB8EkTZ8owa1a7 zQTEqP;%9CJE;hW^iflfScM?YO0=nV{HqqyME zpJBntAHy#IA^fKT;$LCw14yt^{=Z;PKr&PEaJAL=#mo_0u)#~_ZA2v7c#-=BP5I=o zz1he8u{=3%XAAo79Y?MIbL&@h=EKV}_@A-1ugCv0%eSCU=cbKdD^V=STBI1+*bm7~ zbw1TK(yOi}ESMaQr#bip_2~KN2e;n}H;lE|`|6I!<A>WSTxB;HpdZmD4k z_j5N@dP5u(!YJZjkn~Zx2XEdpW^Y~OI$C^{5vGF7ygU$V%IrxlD42BFz}ieK4^q`= zLR6X2^SJ<##|3&{D4u(p;1tZ8^5QE=>4o>l1?jv^Z35PZg~LS6v#)&~-R?3~T#kKB zMd=jx<`XXtHPqD&&dEB5*bntyb*ftbk&_aqc(Rtjxn1E#Fp_`9ANqHbOF%LAn^ zxg!LWGSX_peV1w6$X?VAm@~A`qY9Rfu6&FOt!Bz*M?3gv7;WO|eoWRAFRRUKVE^r0 zYRI*L&F>EXer{jPMjxs*yxy64&R3!y!Z*9a`+G-?1D9csl6i_c^RQGcAly1DL0ZnO zwwd^>rZc`@FMIyFK*7TgVb6Ly4S~h{3>2dI0;{F8MA}T7f!m+6dHBrQ>z12v(Gf1= zOfkmi>2j>aOzJ&Mn)XIUzoCmY_V_b8*8tf=SUU3|c;o|ZdL$>+f0(2f>7T69p~;Uh za(+0(PnIdaYHKM%W^bRx<{xOfj0ie7Al7&N>K%jVV?8C9HLv#Goq<_v`u-a#hK<9G zyo0}=pACP@tbz-Ukqav{B0kbMt%=P4mqvZ_Jy)%#6P4H=xNG3)spLY zx0ndYRuG@+55P`ROUOF_!k3K-#@Ser;_Go+_%0N7BOo_@w@kz`Vm&tb>?o6)*hbKC zG~vn`K5{VVt=3s}h*Yoo*>uEZP>l{%fCXyGXvLqTn$RT8shFz!@(TbDd-I`yk8cWA zF1=3)U;H-u5~StiMsTCA8Xn?@%U-F0?gZLK6>y+$F_WN_!jgEgJ1?9~zo?)%Y{_#x ze7h>STZboQ1Gfl23=l451pJ++K6ASd&4u~N`$CGkINn)+s$ILf#cv_bIC+1&Ud!wB ze#PkN!PL(z;IqEj+(3?PeBd{_=;2BTIjROJ;tv+)b_epF3gh7&2oyfF0IqkRG zi2WTy1|m;%UyCb=?h$+T0Mat_ro3?j9kzvBbtMtSqdk5-FQ;&E+8@bAX7L6!*3TYa z#|Hb|59#(%E!I%ds9u+nZ-8~q9l{#_d5)nLKL!gMVKqJQKqd#WUQ-TpHJ^m8!UTF} z6d!!k@02f+_`+^6KY&m#9PW7hjONvsDmUDOto%Nr`LFB08vblzA17~@5c}GLxA&NW zG1rBM(PyromISnIySHh$!2#}BxlLUW-@3IA*_+HuiVLtw`Ra`#mW_JexkuFOv-0Z~ zFX*VM7q|gEUXW;|2(&lA5U$n=03U#16{uRYusvYEsTYJgfy5k*wNo_KGT0O z(Ke=~A~twu+KaK{$4^GPRHT)|NU5{zB+SK}Zsrjn310a}s+ueZn?Je#TPzs4Ehc5P+Ij`j#JOek_FTM!>MtM@FhL?;J+A?YT;leIVsD z)Y;H+@6!$2KEoG9$wX$mqj=?sT9eDyRx!ju+I8vxMTwD9DgazHj4C_w4yi;}r=n>v z4%j7AvIEhxc6oj^@0kx1~vjRV?abRIK~;lRMcriyYa&KYM}s0Z6qaYa8r3 zbgMmz1F0}Iq|u?S>yb{4-s@3)xzzjC6?^ZLZhC=H)H&XB*9+qC#2ytMF}N7|+`utx z$I?bFhXn15sTL6=ITIbot<^{_(sD#>su`;47{!M}seNCdbkFWw$1|IZrJCwlqjlyj z8J555auqGqyb82)Y&8IEpXU~jn{uVbws0ApFAx_i(4FBqRel%1|0Srw52!h0dE^g5 z4OwA-(`GRGr`ilKXMwl@=JsP`nduYftKINl`8i+9JhiVEq4KQu!egL?$4-JR5~YUS zx}rTmSE*R*Z+Fb}?CXE_eyM9OCNChFf*2Th*JsI-28g=^<;D|J{4d8C>j0c;yyt## zS#m*fd9OAoTa#8$pr7AAQW!N-0Q_V$$Q95fOaOq2d5(f76rkwwfNkG!*?g4gcN5?{ zf3VPQj^J`UTbY62>#6|Q-lz`{UOWhb0Gh`x0$!xj5foj-+reCq$66ug9J!vk{vV4W1yT6;-G{7mPf(ZeaOd_H1w4AgGKmt31{kHBQK$(ORcQT z4qP^0EwrzCB>sW>O#&oHb8EM{vZEW}-Hn{wT)u+nfy6)`x4W|jO<%Yqn!}t-8IYG{ zKQ0l}fe}-OT9QWtxQA(qG(>1o*T(Qbsm)LSGgxUDQqh(vN*WH9qHlR=XHO4| zYI*uN3NHsHa#KgogSWW|CMwcQZEA=2AS^nVo0zTfs}b+SdXhyx^dii%&acWul`0q= z+cw*NLi~!(;HkWY2iN=~w&9olUeI}ro@~#=y4_#j zIWSUD9AQSGcW;Eyk8r%N`|ZKqx38WVPip`W9vIy7C*Z+2=4aT?X4x1?74xXW^eHph zi)aF##v{JHRY^CXf-;eJH1|1(2>PjHx;tu#Tg$&PHy7QNH-emltvG-RI@Jfamg}C< zj)0NOz(;;^Uq1UU9|SnTz}IUbw^5bXrs&CV17L}-J4Z$mb#6H!;-8kz)a`J3a^}V*we#8svd6kpeb2}|=Sl8_K&;f!{MyFn3Flsh@bA-#Gf9a)-sZTaP*w8& zPrF6=#f$9wYp)I2fgFPUmfy+>#D~g71&0Hdp@FJR-ue;rz3E?HTG;58KRMHL9}uQZ z(hLSOYl{kK@)u-wPG!d-o&)IbHjr+^RO$mYte8^9?{saF0|8To4a%N!&a@p8qUPhb zbd2>bjrm4fTq|{J7M}JGZ!oz9J=V9N**RTQ&)5vY$1R|bsPe~S2|UBEE_0*x9_}BY z^iZKRK08e=9JLzdy<(|GZi&U~@3d3ZD{gl8@bUHF$@!F@bgFXKQ%e(_O~x!vQKR7u zrym`{&pwl!S_h>b(FS-7nGG)yg4puP6IOT3(ji&6ypt$a+)3mWi*xV@*NrU#5HjFu z-n;3m`Q+?V@C^b~Q4;jK=1f&2AJweZST!P+g3Hr;^LapBdSb9yjwpLK3~9nG{B}&F z%wfj4|KCVN=2TCh26jajnh!P4eCkY4HA^HHE%L|>fr^5~;Z84qjnwXmt}?$u*}PQG z1)APK?nHT9etywf2sikBLUp$~NQ(RhU`*XtOp*Du27tDx(MURPAHZ=ezLTjMw!o$i zf}jNOTmn@Mi7?PoWCNiegwyi?*VwvWfv!7VYr->G;2|fEfy0Voyhq(4V;DO@Lgf!| zvp7uBa4sLQn-n=xSc?l8(je=j5!x;`qnKUcr*$Ir^9sGJg3K*-f*-ZKFymvdiWA^y zWx?2Ou=BI*fL~dhb_O6LB;2aWyWVb|iE(~J%e8IA?j6Q)&*EvW<)w`t*bzXYHePCI zjK)i8T5UU>oE700mzL4#K?(KnaIo`naKOZ3NLQQ(00wD~3WDY`u_SH$h#A8chCz0^sN>kz4M#>=b+aA1u-^QFUvYHQkGmhr0z0gXK&TOH!#06$L}`q|>${J0eHQGFIOA z>l`Sjh1TPu2m3Z%6TP;7`x~Wa^2cuVm5s{wH-f*Er(Fl@Yb4<6Vg5?V{3TRqy7`Pp zFLP%JU$1if6}y;g0G#jt_Q`SV+Q&|*1*h9LDYh>^pOk}ioBqo!l-$6YzDs}*7|I05 z8oS$ymY-+Fa%-q}`3t+f9cc|wdOUd{!iV=A-3dIK2Kx;BR46rw7S3BOgg);}dt{i2LzNePE$0h7~g!jV{&`k4xw!i2vs2^vh zuy+9+9HPb3w%EPvW@fxNF@2^f%VkW(na8l3w$fE7UYSV9>uHIFe{;5wKV2>#0qQn>;l4EN>P2?>?|K4#YLrMs{Oz!KqqwX~J6=o}U{2 z#$n|T7N_h2xLp50^H3D=!<~;FVXXQ3DpqihUs&xHcPcpui#;Q=XDW;p8Zt&}2~xSC zc4N!d#>f0$%?%!5hYwl!rq5*6KcIt<$1jY&iyTj6CAAXDpW>Z)v{OChX*RSg0<(_( z9gM7YtH_4mM$)Yw$9-vh*r_22M55Nk$-OSWD#pqPDZ0-r5O&+2XHLvV3(`&PtQT;X z8gg2sLznRaBZ&)9QZXC;7V1DqVKqo3$9>fLD zV5Fz0g-$@e^=t40s`9^j==zoA86qI4RB&~f)4JfnM59R(~E8A zGu;m@b{3C;g1DDRY3qV|>98!pp4+ySFCzTBeSrx1>Qy1oj+^4_(|^9_zK>e}p#EKK zGH&GMkZdOs>IqorBHf=z#I>HL7QVLUbLmgZ!*U-p|5(Y&wSy~_<#+k6i2OAfpr5D2 z{?sS&M%u25$QZvL1o9+5Bu*RIWaPR%`*&gffAB8i+fcd<6@>d0>AatnT``Lmfd{-#+? z8U8Chk!~i;kF2C(m!<$!clWD}{HllXQkYofKk%JND;qb>=b(NWlTF8*1#K04T zEZ3)RrX>q+s}A2x)fVl8Z>rf}M@Ae+^$9Kn0twYKxYcMETF2CD_2t-la)B`JS#DQK ziwiU1X5}VBKT2VxqUhN^bGOst8&A|79C-P%{PZ2fcE{GGFfbQHpWlYEq2mz43?aat zvSEVJ9~v=e8RXLBLb-+ZJ(1g{8p4$7RgAKAf9pcN;!&I4V=cKi!g<}Mq9dCY>d&&n zfL<|iC~0sba19n1_gs$4O)dg@{HeD-s(^|pC^QxPRNUER8J&|nbR6Zca?P?cPwc9K zSD-?J(}6JJ1^2h`&HO&%O6)FvCtRHusjK8pJp!VZ6==^k+b+C0<6~{)=+Mw3P;Hqg;VkFZI|%aAQC~bQ)Mn3kn7g)E33b)wogP-zyL5s4ggR2dLEuH5w;IgZ6y`9luNU+}Nky zJBeI@ac2Y2ewht>vpdw4Vd3qqB z@l4o0wKH#f`TKY;F^bys1V$T+$1n|2H;tSn-|>a7V5d;V3ycB~=50!evL9m_h746g z6$`m0Z}X0Gy3;Q=i3ynYLwN@D^N>4g-PoW?AnPJKpD{=_sx&%Q1m^eJo(zx=8c#56 z%OkfRd;EN6ji7Z{hN7(eBdV#$C;1Hw`WJ!la;q18ZoLk1&Z;A6&mG=xztcIWpstXo zbNP8@TBxqT+LS*{JYc=BwXi}`74jxR6d>kSXcI<onKg;&G3 zmbE`_tt&aNn&TvC6Vw#`wq@1%uxVSJ=jUOLYIFMi;h)?8YJYy}I=jMw5ZeD2(pcP% zRQ_=!d1M3xKblWS_B!pB^Qtb5s#w(k;RLE(aacxIBd_S(TJ4aq$mfcUYA54kd9)Ej z`zxO-rofcW_ptWoVCy<^3EG0Ee4BVMnc)l00mh+JLONThE~bA?ca?ajWpqj<{M383 zv(J^Jx0)OpnkB>|hVB!KcJX2hO{1nUer*3FD2xch9AS#-$G$m~-k03G{93HW8%J6zt_OT#E#5f_;9 zNki&lV@-J=h)&!<)T$|tpE>)CJ^8FayV$`<=$`e=CTRPLWEv$Hggf~xD_&LsDuS3_ z9HS5^wFR9QopLpuwN6$bv0@Es0}|B_VRHs*oGevX%@e#Icfzs=;qW*UcL+Mjl=A zt`I5I=>j3~+jm~F`!?#I-cxsA{-v)--KK4vsUL3my7*-5#1jpA`!)V$s<5A8o@t?03^a+1n{u{p=g29ly(1~SB4lc_E!mFMkj!( z1w;xEgXZP_QJGTai>S^c+&J2O+^J%yK6y$Vnk0762e^I9yg(((PNA)-F;`XI@2i-TTUG1kBOha5bUraeFF%7x7jAAT1!dOpj+!hc~-dzq+)J zayoT#tSf=xuBYgb8sARV&nY(5k2T(`#Fa?ln~btRG9&*kinkZpfs8tJF%PP$K`u*W zZZ0c8gJh?vl=dCRyO&GxeG|2PJFaUK?Fo#!tfw5!%b0>|Vmo1ySShXpuzLA`x^5m? zt7`_bvBE(GzH-pJ-m{5z(zx4 zfK>LhQX#*RQP1T9fp(DDX{ceZOga7nT$?IHK{9>=Zv99Ies%fk=kDPuM`+TDxl6Y}`P$6n#ON!2_8T&Nd`q$8Hr~p|7gP|R3OVjZ5Xj-=Ho2v?? zzBkIBE##m_bGBlw)~u)KRs#Eqe;0pZf@Coc=X0 z+29%Uz2f)MjotdqzW!Y~o+6N16PDltJ)WRKd^e)*kX~{c(BrYKu=za6&Dxn-?CnPO z0dQ-rW4u|=a8%(}J)XkRx~ZT)@)leniZBqWbWmw~fdzs*8{G(3ww988_eB;vKMbGF z&)aRm?ACeLziS3(iT`i{i_m|-3?hCvT{x)TtHiGduiV;X0veB-r+UJ_D*iG?spMLe zINO$Wh6xKL=o(Wse6rjQ`P;4aK8S5W^N;nZ+D*RCA?|(hUbX&|UiuGKy}Um~`}L{U z`eLyaA6XaXAL38o)vL-KtJ(6fAepwrm`7G=yYtwY%|>UdvJ=OjH8+3yyRPw@Wx@Ri zmSqv>lzd0N_B9L+-~;)wC^C>AYb5clx(q9;0WX>PxJ&pe% z7GkS&m=g!YLNXdM8m3pDY&dvFO8UN8bOzB;4yL<2?mwuY;f+p4P9?$VYpD{IRT z&MR%!Fde@5O)YHIYF@Z0_mD*mkLRAXbyhxmwqJBL*an&WX^N9 zfME`79eg(^*sIrgXj;7FTI>7nQC4rEc=P@2VA*BJ8+7zDxLP6{Owy_e?v{3!eH}sjYb?M^{kw0o^>PsDLq&Spax&BUT(sW@9F~QiJ zJiRU}5`8U72X?UiQM!d8b|k;8+bpUm{aNmH9Ubf5ChfnyrhnzqNdG0mRS7zL)E5m< zK!xk$=obOyuVWLOui|lXl?Q;bT>_pdg+nc3$Iju+iH^Jdo`WqMEp4HKv(edBT6}0r^y_+q&qwcG}#^E&Sq~^^abD8pU)4AQCo-r1Z>%H)&G`qkY^`dnad5 z&QZzh&_7AVzWO>kY*=L74?uwf$J!XqXa8IaXchjm1M^$6O1H4b;juZL=g#Hk6 z_#1ff+&4#AYLQb7o0$eW=tQu*|E)Rm{SyDMXgK=&;)OKO_-qQs&xQX3w&^EQ>O`G# zk+0^Vh3G-v#C6Q&#pxRO=Zp<*4(pt++EZBHJIlUx_NETCy|Q&{#EcA%OwiNzH~q;~ zEV+QXktUdV`g(g3`@-y%HdnqZUj5Bin|)|gn&nly?yzagG>gx>ii!gBi$3>cCjv#M zzX$057fklwdypl8#rI)VHi+3l{xw#JY08VhN`4V&$NiQQ&R<&vL_g0BkvSniudZ&a z(w$dAyois0Ks(?C4|h`0<9z!vcOD8$H+C72S$^esP1XYWx>yzp>(GVgs16T=YfWzxyxF0Hh#v|EUHZyhqQ8GqCrUyPtDWq(RY+zH|p2=i;cc6{CuR-VCo&^SI<+hre7Df->+S#hN zOzAX1A=v9-?%);EO@DE0<_zeWd3{(Cd^;}@y9VuOoK!~^pUp-ZGCCv933-TjRn<-s z(3x=C6EdH3l&-#y`YalsNL9d&vmDqfDNv6U3&nsfOq?LYPJ z)yUo%nr|@C6&9L&s14x=lelPu3nAtb3w068`xkn(d+0I;xc%1o*abtM{?OMnUmIGj z%R$Wehl{3$`*|R9qR=%xo@I+Q2v1}ZHgwkit|S;+u)74&-)ZA7*wQ*X*J*Uz*Tci9 z_wVBB34VVgln4~jK{iFK_lp1$?a0RhgT0~)w1>JFa{NB+Wv8<)G7Tmi8Hgio2H|`S zSDU)fXFUP;1CmSv%?1;bi?4;ZZd%zNTY?x*kJ))-uSv-WUl&B0N?0+jCoc&r%5S#O zt_SfTXfW8$R!r%$MlY`+uE+ciSPwhsvme{2$p&lQ=xpGuvb9O_mIfrujMLTGqb#Tj6u5|ZgjKKvrh3LNg z!V(^#Tp3pV94-j}dop7YEoM@Z-*LON#^yfr=BtF}o-vwA#z>Po6J;}>bB~)tg>xf0dHP5*a6?GGPAit%69BTA?Q63v-Skb0hD63Qw z2{-fIY$X_T*TkgNXus2SViAts$I(P9vF^7KFOYjRYZp6%DbV^JYjn879rEkNx)fN* zl#IT=@>a#T)ORej%+{-iVk#YZ@rVcT7U`ivbvdpRV7C#W;RE68d6AV`XvZ_`J6%?A z1vZXCzcNOyxiV&6bGPVe!cn6>i8uA)X7zbmQ9G$o2V(XevzR5W#rEL~2tm5a&(QWD zPe=%rNpUO1>`yoE$eH|DTBh;X^pK0pmEbsL$$bGK(aVR-{$eRW@$Iry?G5lX8lg5Atq#(Fy!Bk&f2!x}L@`9HQq>43i;y&)^A=~?e3R~vum$rU)08ILjXC)?R~pNG z$j%wlT%$T&L^vU#)I4dpM&D#MGh2MOs`^UbYXw#T9!{hdnXmGAC?Zf%jqU@&+6#Ul zBeRI0e2-kmTbJI(vG2X|+;I$v;}2D7dE@&6YaBMSA3Vi&kfi_}Utd+CJslsUYshG< zy-@2>+g7dchPpo0UZ3uPs@&Tkcit@ehCAZN6$qpvYNz_#>ku${z7e$e-u##N9;X;p&J%tvN-#Z<)|-^+9_}+Nqe&Ig>6W{=98eofI$K z7+vZy_yv}<+3P_-s##AX-iB{cuR}=lL6j@Tb)lX4fXLm#M1*J?sHO#;%r`=z)<26~ zx93H^!j%&ZNy8e)qQR8Qc<5oZS!{e%8T zn)a3@#wR+eX6jvbM|uyYmW}ybzOyY}UD4;WPMwdJsFksf?s3ZkH?4I2So>4os@G4u z)Z;dzi9=Rg@$-E&h^skTgOhfZLaY=!$}zaXRoapA(P2M9v98PGZFmUnoow;?&(lLA zrMas58mLml??b=o*S+IU7r+LfE;ewmx zqqC>Ye0d)cyj{{G{n`(QH%ld1*0-IZ9T=j>Hf)&Yw>N%tx|f8C-|K(r!6Fz>uqwjb zFgq^345SEWVvw9CpbUOL<$IisTX?6=`v7E+--G<|3P7h7yN7||)j+c}ABPQMe0@Ay z`-{NIRBXUK=$$1Pl0gCWhd0R-@ag5)TjFNN1^)XF8hVXe0InH_oL7cEm!1Sf20-=& zHVw>?JaH2IYMXc5q(oIbP_$~~`XFY9amf_?f@J#_0RkJ(Gt9(rKwJRU^VUta(%0b( z)p4l6AcQOHOU>4AP;spkZJWeA@R8Pjny*{7*|x7v&c?9kg#Fvc`(pHQC7hG|u1?r; zzA{Fe_efW2sFrD3g9HkFs540?y9%?;&Ke8XT*u#@s0*a<1pCewyPB!3qAlNn<>21Hf8m`lpQqZod zrL1bQ)+m^WH$I+#y7Ka^V#G@H$72Z_r1#^&J72_g zTh)LLCvd!X5$Qn;^Ve`axMWNt1y+5pn5j{udDM~W@BU899?@h?=SnEl9$(N{CyTUhz%A`5Xo-_5BszhFP! zqr~Mbea!=If$v@koXWB}Rw2i;ic0Q1YQu|#oWWf~GLqTFRSa7aQ}|42CnCQm-@X2`$BMlhiTkqG>^3buo7CpKwmn9%L_@t-a+Tt8+KAwZ6%nJ-0#u?5 z@f@+IzP_5jR*G{N+bJ*0OUG_!OVOUiGL@)^a3CY{DS3CyU}s-VqR&9p9^~2RVf$Kz zYnRuGjvbV?wCp}5f_x6h7Rhy{GT0VGuJ0RD99d-66_|;Q=srqLXwLYxQ#EGWO3QNZ z`2D&|A#>`=ugQnE$RByUp7>8DBYa^6WNs3wMx7%vhvIFI2MRjh4xUXb0=A{@F9KZ| z&}TFFAp$pHmN+4q&VQ8ZA0%$(P{P`JT>RAP2Jm!B-0xN1fBw_xXb@KvA*gtM!gks# zA--W4L<50%`q;|<_j$`4U>uPz0!;wPe z3oyO=;PW`kzX*6iv-e=%HlF`LdE_4??ZSzGLrEJXK(=N*jN=bX%3ZVL5`zJ2zHPOx zcmp!RAQ_o>{Hr|rVZhoqSM}hFz$?D6GnkQbrPzp*FRfvSBSm?g2?4rWaE zJPlLsg4gVP8Yb}d&q6U@5E%R&QdB%=6Ib<%K!*GSdnvA1Apf`OD&joY;I_z)tHgg! z)$ulgi*x)U;E?u}K!!a=oJNB1^ra1c@mlnx#LPS$q~%xs!myg?;TQl>-uq7(&g2kK zHV@hHZLd`M09V8|9{M5> zK|BZbiXx<-YD1+^%(;wl`IUJ^kmyCz#}`k@8pAc7!;hKyc~uGJO%xT#K6k(7nA@QR-T4kuef_7qL!x8!4iy{Z!ta5{S{+eo1b0f8@ z4-4x^a`GF*t45*QsY$a7B29(F}&oDVM-dA`b{frf+lhps-f9X+)l| z{MFa06spqYt76R9bDT98Id%`TsK%CER*PTnZEst1LbYb==v&Pf^xz!k zHy?t9!8I|vz#I6X!>OikP{CbNZZzWN9yGPyr0kB4l2g0O%Qk2I_(f&Qs594m1Fu%8 zHMKmyw@9c(vUgfdbOAjZdj^i~oHgEiC+#ujXmP7)b+*#6w!{FdT5X$$Myf%PaXClg zsm_;w70rCCsk1F>Pd4Y$=Uy^>8DkX5yMqz zEsy=py-nH2Yh11yt$%v?ZR0)|TH1Nx6x|T~A>t=w{)EfCJfe$zAGNqhoP7Y3t0hhyMDl`;0@C9SP}cavNGsRE zxAVL5-N=Q;=@YgL$Ja#;JD5y{O0q_0taTUpx3+>uO7ve_m#Z-Q?B2GK;LOcNBC=Z^ z^u(^o^S8$YGXWP9?+I2KNUpc>1+6(+?v*P6tV9GkRuRQ8(oEqRD;urc{Gu}V#(>j6 zA-j31F0F7jAPEE2c@ykHRfvq~k3`ZczMDYxv!jJ6ectwV0avVYfJ60J$sJpt_eeVx6ryvoJJHTPA4_#j?42483BMDq6jHI0(jg$$3whrsnR8RQ5@>(%3x?LqI)9Fl@ai)R=3CP@ z`ul$ES5~WR`BUml5QntI!2Rz)!?xypA{Cn3@!ZT|D;Rm6;N1gLrPfR&Urrdr-_rqT zse0UPpfv>Jx5Sh4eXE4K$+dv3(G4S-toSOHFC%N+ib=Zarq+f|Ve)W5rE&DgLH_Qu7@6>U=STWS1-;Co=*_85RwO)(o_CgD2y=HL!tt|V z2mqI;b^wn}Tfi8P`D#$>POcTmae0B7;ya6kPB&Hpf4Ta!9(hg}1YY=VBv-8pnmIB* z_cuS{Ouz*^C|vISBCzF)z^NJ10uNm1Hxp8z&j$v54G7MbR5toC>ZUxWcF@iwczTt& zpDohM4+E;_N4R!h1X9h|04Iu4rvOJp)@#UJZoNw7c2~s8a`&&%+j{k9dB!Iv2WMy! zqalN=UZYpk&=_;&fCS-nuWw&&s-xT}936?1yQGx=tl#OQkhWCHXjEzHqvB%ok8DzP z^X}|wALrW{M-xR;w0EOlD7qcduh>62L2)=8bBC@l0aG`t^7Xkl1cyKi@LWELg!lwv z++9GS6il9UG=rslGRn6-4YX>jiIi#boF{An4b98J7z?PyVqtDMf)iCy&zI}r0LStn zpGxE&k_QK6806dr@OgNi5L_9cwI@^<-!z4T0H5}l%uR>Q2+v)`AwB_c8Q)HP586xR z0l1P@1T}9V&^Tz$cY@dkP#%J!06;mZV1bY7Ar9&6_n)L2Opt*W)&RMP0JeGx27FV{ zE*^mw&BC$oLvIXOkakl^JZcWQ5b$bdKacjPgmyqa3shRpaS%|oC-f$bU(H<2f^l~f z>5vj%tjUGML9!BJ%jgLA8P+9Q1Nr0VNMBhZ;ylz{&BC&CIT~yi>gvc@#75)Hi!cw) znRvKv=cT7Q>MoJjsy%!+8%{qRy%_N@HpURH4_lpB4ykxqCQNA!;|xp|{RXbv8k3?L z^Bh$18xMKUI9P+ZUjM;2Nxf(+bd5FN7tWtjOsILU&c+n;Y=ik=th3&L3%BKGSAP*u z7v|FlUO(9)+)uW0yld&c<$e*cIxxcz#xHmnaY-Bg9p?f!!JXj;LemeS_lWwyCUdPyM00(~DuzNj(&JV!47 zC_jIq{yn+OcfkHty`KB4ZC`gtBLCx!`b5&p%Vh=FF&s9^t zeeGDf!XVFnpwyur7wx3$Zng5DS+k#1VNUkkb=06m=B|@;UWSsghwOB=$TUbHgS#Nc zKEko!%5*_4Q#dG3iZy>**U0m(`*j1Z(!3E5I;iH|r#)oKQcGDlf zX2zUezY+8`#||gXS05@JtK8HHLOYnT3zRZ=+m*|4zpol|He7#7_PIx%{?z8MPw&&m zP(L|*KeHpHpqFiiw74E5-@zHy1i|}~6B&b9&hZ08vt~mi5wrmXH_?~*DVAMk5qpNI z9WunmsVr8e`)@hs|A3&T>J&GuQ5U^SY2NIqf`iS|l@$ylzMvQ&c=2h|QbkZ;6F!oU z)JmSqf;7a%V);XfGiIHhZ~Iu`eSJx8YHA;Qe+f=B`2F$Dt%sM7{p{lW?AibHtW%Lv zpcgBzKC+M~HC9?Yfr3`1*XRV{slvepq_AREqG{-}HPH{$FP#hh{XuG^9CJ_`oLE60Wh)n&uJ?xje^~3f^9L|3Y=#k}=2cRD<=FjZvl7-## z&AL9URD!C`f|KQl+0PWNCbLf=9r=SFCTFLLpf?sHe)1S~sR#KJS!JFRwCxA#3~Z`- z;Lr~}Loi6hm9wbZ2u2#B5TrZcEg&H;%r=CRMiz?qHt`7)q+!ps?DVG6!lDaO zOD$*$9|nScOW+X`fXnmh0=Kxj4B?Del*9n&5PY--!NnVJb@Ex}z|FbTLTqnc0K?wR zfpg(9ik}6?>K@Q|Z-ufR0#|jE#4SqWy99sZS`kZpqCf7(kD7&k{6ZEMeA*G>f(c>- zHa02`eV75X5gE_}X4h-=J`P_Tj8%jH6=sS#bP;+Jkh9)k0_qzy=+@ABU+M5gU@Mo* zX4hRNUOh0nykqItpXS{KHVknK62od^To?%v`yxGUVS?=EHm(^iG*!#i6I71z^m#+o zNwZ1WOB&o6&7va*8#Um(pW!;c9!nwZj9aJE!#`TZCpW9pb;ih6gt!Sz*P3CBW60Yl zy8BTRPnxU-7Ap=~XXYCZlyO>3EI<3JicrW)paE`)6?dTh?2BMOv56@>d@}R_#Wx3v z;70r$uTh>bV!AhBAz2O-wn5H3>oOqK0#5SP*Zcbq(Bm_S`0>NQVg3=d!g>})d8pPK zg!yDLqk$-j-HFiykjR)eg~VO@J%$OtKZ&=&Z&vQ zKdz?;g5n4)#S``|8E7 zx@P>$)54$~e?R(zQ~h&0Y5*mY1gcxMX~E0ATsneGr0p zFjHP5rHGW10ZIIgIJzl20sPRANGDz@Itz6M-1qa}Kgr21J3!0!U5d(!v8vcQSpNJS zq8sTpBs?1_T(dTfoxp)O4hPHqUNkE6lHVzWHzpbt#jn#iIQ>97O7=3f;%D2sr+YKi zB5NmgqCM`5fUg`1QK9l#6&P*O;jgV>e*Bt#;*$jkVWX`%P6M zGB#@{8*blYaoR+guq3w7!z~RiW>8B^&^PcpXPzQ80bIihHha`J=QDCcLfw@yhfNhx zZ8g_-WYKVvZi!J3RH8%A&rD3IJxx}O*)J@cw<7w=sh6wL+4UUYd;z>+8@+N!q}Mg?$`%HJ z)d<3zSG;___!og%;JI!?d=XHHATLA&5a{w)5b({`=_O(Cm`Qq6fDkBFPJmxn!DG*) zkAV}iPPVp~@Z=)lnR~C#D2{9H7?3u&JL|q$wptD?dEh;2b6DQC$*5yK4W+pwmH&g2 zQo`J%+Zl5^>wF0{-Gn(DMkLB-+0W^6>lLZ}3Og<8Mk;$_2*KrgK?klnRP3wxRF=v+8Dxdrksd)duI%(j+OPKziQr~`A|Nt z>}Lkt4@o!r!)Af-hGGXkOBq-#bvijLQ9n8(fB>vkC&#dytYJ8fTbVrE7M@xfU7x%aF|hw`5ZT)c@C( z{@>;y{~YkVB^K6m#SQo}_#w3n#?i0Fh9$*HPDvYp+`zp$!Xl_oT#qZ9B&$y_N1+~W z`J}AxWK~^T3J0W#s(yngc&yMT@*0S85_10{;1rO;-vML91mK%yJe`wx$R50>ZW9qb z>WOY%?E)OH5-)-;fKlM#=Ex!Nl`WW~tFq2f)z^o+p)me029K>sfQLS!FHtz_B~dbeUla-TqAZdF}M%gp@_q2CGCuA?4jAe?6a>I#XK+R zO;J)9jxl|tB8lQOEaQyY~g4hB5uqa1Fb2CgC6kzW&KLgXfSOZL#Iy zL6nEBX_AlorEiikb}nBFAL(ykk$^T784g#%zJ+?P2UnBC)kDf*03@vC)gXEn?-nO^ zn-(eiSVLF6_D@lUP*9~C%s49no(gM*Y zjdjTy6(!ofMzXejfhe6PaWyUHmODua40SC9#D+_*=KVx%uK4PqE)d+fHeF>AT8T~% zQkdkBat${M9chIS@w7Quz;Sa*+!R!H`1fB4%8$lwHeWWi>t`Ui;=vSrH8HeOi(N}W z^_)IYew-;dSx2k2i5S$4H@|X;ZrRx*;n4mkD-5AUAW#{K$*0C#?Uj%I1bS)@ZAwyl>_jR3VI@K=9Z(>zY ziUq9(WlkX{?*awk(XNT9N24!VGd*eirt5vr_OVCnHGRMh~fc%E(+RF z4EF~Bo!2JeMN&RY6H6!iT%&ECBV_)VI3Osq|8S3kih$Ba4TI-WaQ`jYL{vPZGOxCa2F zuJc@_rJ3xqJNr1#A@O5E?u&(N$baB;WODNS{?GpgzlmI8V*S5~ix+B{wqV-$))lS? zJDm!PM1Zw8N01`36KZXuiCu-8AUBkxP56U`%wM+MqHK?}5D^iPFcXoGusE~qa{>@n zn8?zu!mr@2%HxH~S07<}TwU39!?_KsI9T=kleUKP?tWWx>b6h6y)j%7v+qS)sFUb} z6;ZOSL|0Hhat+ZH7j?b(&RpHA;#-pk%OUD`xW|6$4jYAvvRf4TgmiTD z>yjAF+z$TuFWA6*@VNf`w~LXfHh1t((aC6~NT*w9>@GH-O+R6=cNIYwG^ zY&$Hfb$r1+j`sxP&)I-&pNET=vB?~9cC0ySIorn@A+!U}IgAef%}7Wjf2U}}35$X9 zSJe%aR4?&!Jwm&2^zp0W>}BP@aW4hf7bmH{smtBJmZCcYjNVTbdQwj%TG z#^EZ=Yxh0RM7}wZQeF}|xOdIA!)2Q`o{6^C{#okg=XmG`r##-kRpLO<8+FcEHlFqP zYXCk9uC2k7`gG_V$QO8U;OzxS&F1M1TwcO~ZbYZgf*(ifC;ou}3nu2_tMpKOK?xe+ zmQ7T2c5$#bBv|cxZUuI4hvO@28@&TDU2a#@6zxb#Z>RT05MbNrGx_TzQENYp*3LM% zsSngz_u5PmEKr&wufn&}WV9H9l_>h=tXczJ@tB@_8(5v zjFSN0J{feOyX`#J0@vcdUra8cbbk=SuWn?@yLv|+zB9mo;ITeaby|MeE!z9rLDD$g zu1@5?oX%;2Z3HRKGyqxQDwtjE*j1S0yztp<+p5K!1m2?nN*_T~y~m+TK;_)Z`)i~G z&*TV7oKBTkaTUJ~;fV}{31YW4GJTKp?rQ~@*Ph;2$(b} z1*yjP3RNq5)86dTX|oPKPvaQnPMMJZYgucPF|jmw6K%yN7zwVFzLP z1oK{Fi<(_08+2RGh7~95Zm}PCe%d{^_*axI%s(hwuKpQi3kY9sjh^%tATNHiUs?VxvJg4(|SO;JH-?3_zpb*Hk5rUk97D zhNcJFp#}LYj+HW~Q-go}I)(4@8pxCV(s}N@DwCC;wMu;v*jEey7&>A;ltSC(0dMUt~dz#1P|t~PY2n1dCGA# z^uup}MErLj%E|%jfS`a@83S%L&x3+o6n+9ac0klKZScy>0S49;1~Pn~@<5)r>^bApP%p%do)rIEZ!){&MG&2X zpfdP)5ysvR4y6L@`+f~DGeIsQPQ0Vwdr?$!jp|jZOLPhw&sojcFvF3Vt88PrD}|w= zHY-JA&`nMF5UPyb;d=4x-e&---hqQ&EiMI6=MWk>0pO-eOoQi+neX>HxJ{SnBb z8l6LTZBAC`C+GD%OAIhKb|qZ~G4o^SKb2Fd15-9B(9Raa}2E{T{XI`yyU_` zh}G^wPidSOCcMwax_9S?r!SCM+q?~#p%@?e*nw#P&gyyow0 z0l|Ff0=jg3`}Y63RXG54i}6j2SfRi$QJ~p;bI|%lf%OQp@f6; zN&p9@T%~JN{mMix{bc3ddkX2+y%t*@J-Qg_IxuIfHL&mRoy-69qUe3?)7}pHv_Y!U zxf;ZVytmkZ%ZB)7T;UDphL;Dn zh$J7*@r`(M-fPxECOX!xZ{MPy{H2+P_%ZZ$I1#XkN3h+%eX@sFGucM`4M!RLa7y}J8+0SDO}mp`E&N6nop>*uEJ; z!fV|2>?;ho*rqp8H*z7m{e)xaFZvnrPiUrcfT2)iA9NEhUhcv1?i)jH#;$Hu zVc|uc*ysG$Czp3!gB&|NCcQtINghz6ZlQ-A*Dw;_yKC#ZOMmW!-7$)tb4Wp`susTq z4rBW~@#KNY?G9m|Zj=m?-amwYurg_r$r;3Wq$JMEKcTo`a zrlGJxml{&9Oc-@UC6}muoFRj_xmf0-eWVJVHJiIPDNL)`A?AIC~At7{{1k?EXQ32Nn#Es z=e7`}%nCXNGqTNlvi}~U`p-MRe|=w~eE-In4jRW5HwU^xkKj7kcQPPGfCV8%5QRRC z1MY{Dd+Rydrq?t3+%2^=_b)s>CVTFVe%0?L{p(_u_42|H9#Bs#Xchy&IheSyatGux zE(7&pdw~3uzk0%m18Fyg`D??KsPtQ259O~YH^w`Hu+2js+pAmIe3IMHH4>FjIoi-p zb=ZtSoh+?8J$%-$KB@O;!h?=ytrhfZvDXIQ8-nd5{xrj>^OZsv$HT89Y1h|Nk6fU*}5riRJ-(D7KI z2eNL#tz@WgY?eP~H(tLaY_@i)ccd`X$}I5eQ?k#Is_?Z|=0N$e%D|~T{$GVeEv2_m$Le*mpZTx#;n`!{1kL+KsD<`=(Q)iY zvUel(KF-Os1P!S8smi?y**d8GfVpWgbLw41SPD~)7P9U97_k6WA%h?(nlm1}#`ZoO zV5z^OR>wyNQ$J&ribKEmpF4WpZl?M9u5UNC)_h3NmGA6%=<;j`_~92sE8=?2C;WDV z{or#2^8w+A$Vm7|tS@kGwZEYc*RD@)K z?18gxsr&esd@%rQ+D3-28xw}Df*&nrY)kI7D?3QDZlOc&UCBA_4+!ae7H&?ZRLsuM z8(MFTrtwVP*?P=j2wG0y#WoYyl!{aN-kCUb|*;YpTixXr*Pdv^uF)DI6pI-X7Jc-TIg`^E+KSUtDEAuXjB ze859|j13&P^JQ7+KYo+nr-N3=j(~joHY^Cia-{rmcEn)Zmb{h+37X*)+$3~Tt!2{T z6H~wEb%J!+>HFD^x4D~zj%jKsR|hp_j~hSlv{ln9n2|eHm+3a$wvZsve9a3w8R$JwtjF!E8?aKFXVgb<)DChV|M?4(j{+BY(aC5W$(5X|q~HfbsTk$|&SYck3emsNO^6GU-5 zp)2HO0*Desk_`8(4HBl%TevVz?7MpzZqMyN8KRoFnPoxCihs4B+7hm=M}1`!cm8Q| zgx$tlaVG0tuhzakJJs29O=G(tn85x!y73z*;EboDYO5i47e^=OX)> zU=KI+A|VVfxu0?JW;n~e^G^&zwUJc5<=V=H{3Ncn@VlK0s*{^|+<=}dv6^zF| zLA-!UsD#`X!VBMMXCbYR4aB5@31V@)jG6`y0m2i0qy7s% zYet?gI3zQYX)^R{G(-((Y(eIA-32O%YI16nmb>cGF62xX(+;?}y@K6bLYdPzY0ew3Ea7lLV$VgInVxM~cNuJME9B zXtSi86~|4h{S)ozO)BRLOzNT`hqv@TcYpW-S=Rf8c&@7&mpxyD>JA?gszL-o#Y+vC zXKE=>DC-JsZ&t>z_>JE3;;8uS(>6BZp?;yc>yK_YxvuoMlZ{7&_TJmatwWDRF3SV{ z2|jnMqRe<%ECITFegz3jx&Q6ZqM-a0x%Jrun#) zv~J8c5uMJRQ&5`=7CmEGZ6$3}9`Nb^26W-SBgWgw;0KNQc-jPK1jSa-wj?8uay~$} zsteIv0G&WDjgLH?!+w$Y6-o_dhkcuzJ^jVg-QX0!>(XBz9IJe&7!r2SVXXdHmUG(u z+rh;ysqGdxPf7T;OkMuRI+@bannrIoDNVA0%!Pe)WZHxP6_GZ2!%!@=m>bH@9ZLHoG~jWZ0H-HDt*xKNnk#!Tv`aua=x z%>;KIc;})O5jW1>kSrXWT5Y*B_^rA1eascCzHy?IRkmAO}OD+Ml=U z-*}g-IJ1JVG=lsTabs{%g}4S_(NZ=bvz#b=S^PKY?nku29uZ^qno2;?8@?chSS}h5 zr8eS$=B?=9J@7PAB|Rj8YfYXT@*h)wl&Z^1_%^;C%47}%FQnnuJs#=76uu~L4JDFtM=rIY z&0NPloVskBSCAcFS(v`)53T3$cbpIP#4!mdV=e9jSo>vb3MvEs*OzpF2Uq~!{HyeQ z76s7bgRlH{iKe$4>oKHiIfPro) zWPdUhVj2rF4eun4&)#7zA#*3maN;o|mQ3HquyThYL}CNH7oX9B#!@33}& zeC5^TfT*D|)p#Km>(S7y0pnpih~-jgF&z%1Oj*q`D=Kr1<6?&6JTm)o&%tcn%1`Z0^1Vzyi{>$tH|gmLXs*qjlgNKXq>&r| z?y8ffdeA_#h0wQC3p<`VnHNq+A*?ndGYs8FE)nxmGBb<%mLDj9BW9{$1A`i=qW zBD`t{j*3OKz*n|0z$4(p^O6(9|I{(tfvv)G1I}Cm{Vs!+h)yA+0+eNrL2G0-N7|*@ zx_>)uEkv4I*R!FRe+PNX)#Jja#r?cNc(?5FETPQRxVkz(Rzg>YaiZ;kcA2M%yeLGr zSpK}e$#-On*9JkQ^eRE?aIdGAN+h2?JN;ijyV!E893ubgPS9r}8{Ll3MtieA_ zk=MUkVf4(@J*v!5xId133D`jus!K&Njvi1Ww-pqFCgBqK!BdCZJbQ;C?Kjc#*PkCb zxBm2!Xb95@*R*?yJGW_O}FjPs}7-a!NuyErRrzvJ;hBl?{AxT55dL4wPa|C z;6jSa(DN8Fc?(A9Pqrv)4Gtl?Pi>Cw8i@=DM^7zW0J|k_S}Qw0Cv_$L^EIdC!-o3+lk{X({15IN(NIB0Zrt#2*Vo_wf|=4(_3p zl>P0r&w%RK|8+@T`sEIT-R;9tRVV?LKp{IS7qKK%<4iJl7}!kHy04U6sw0-I zR7y2B)3J(LQ!C?$z8+ek8ug0P?g7@Gd$RWBWnC|(nAR|Ei-UycM?mv1LymuylJQlV z>!f-bzhT&sYgK2+g;P^9SIe!W|_!maI?gcfp)#p>r2D*qa9igD#Z5ZA-BHB zv#Gtf&u;bTbDP>rgj|e621cFXZRJJts@;0ojyAr-{DE6$UzPd?IS-lKt9NBjs-}D> zk}W^JcId(%9^02Gc>t7Q(YPTHkw}i>x>3V`GiHL$qH4aQgx|;KTzdM#et^I0^GBA$ z5MB&(B)8p-xcMv38d0y3Yp=IN?exFodgO}eZH26^Dt&*%rZO=O@U?4*WJ}hukKdtS z8c&bjGU>Qa6p6U;tVCr&2b3*t+PoSLd-am-L%c!Ug65_`Yf!!16#2W0uplfP-P~>x zSDEz!snsScd#(L@gJ;KezI>m33AcFpgM5eX~cYx#YIrJlBCbHEA^xF7)FT>s;)xr9=IK@N1UeQUzqHU zl``|Y?sny*Gyr(Yx!1oNSVl&aZyWi(2?1*o#~2I9`efUW&jPaI3u-G|}Rx*I2;w8%$oGc6=A)|@hH_z>oslJ)6CYNuqdAappVKt}s6O6wWA{XYNMNo_X zqO}VLINAvYjEVw2bkc~TFTmJFR`Ji(yST}#@=iGkx+5H z0%^>uNAD{jUeUjYT#K=0?nUcYCBQ&zX<>Y!h>0V?=3o#reWeoAw19`&iyIZ`sdYnK zYDVD5g-T}S|@FT_*e-LqoYmj|=T z3VlV+{Rgl$V#G_SQ}vlR2f$nH0ut_Ju{U84`#HvKX_ST?S0>MrV+ah-+_MyjtA+}d zo+nA&{|=}=+!YjxdmGgHnoSH(uMW(gUU-s|YIH@6P{cB2L_TNjU>H$QArjKL#KLxU zX~5-VbpcRXI>e>z%)2-G=;{Nk-Sq?a4{SCGT$72_z_vrdU_{TFD#Q-r4Mga`enxV- zC8HiilITJ*{0?B?U2Srr=fX8Q$$9OLXFu_DZ6UFfc3ys*o89E%GLrI)?2Y`xNqT$G zHI0679S1?cdr6Mg*X9Byf>WQcqZOsDMS=N1A(O6b_$S@CiC*Hy?plG;LuodT`V&_f z8E(}c;?hG)frP_$kRjC-CM_1^2jAiG}_A(I$(5a^iMhV6cEX)(@tajXg zH0_A(+97neubd}xf6?Z#&?!J~&{8ph>*b~^(|~6Q-+)fe?JnDoQR-B3R56VhICZ!o zb$qr`Y)W*UbMD#K=kNAyIj+3m#dIQ0c{zaf&SfXyhT@Py2x|-73L+RpAYW%d%Hca` z0x1u^$Mq{37PdLbY_$(gl;6y;8yh?`FT|9L3h)vvFa$ zGyc9D-cd@+gW{<#5z1;)YD4qoJZ=k0URqHUAF~!Y!{btDCqY>-<8Wg<2Y;1eMD?P( zGVs*ilZ;Ro<}TX=5l5G^{tR1*{nTTj`N>zZ_qzps5xBIaaeF8&davjK&$Y(Q!~z0q z8)O&~#M#BDq))RSAe_R35F4=vB7bJZ7boBb=`P)`~RWH<| z4(P4)$|@_xXSG;9)&_=TI_DE{N2y90ON^S?9G{GV{|5mDMumA9+Y6c%^?M*jolY1l<~nr7&(fKg?fD(*$H-4ltiIrO+g&lxWB=n` zts@U|MEQ4TLoP8!DEMyUq3}sSaM=0=+jIvJnj4S43_`-aNh~#nn?uG|tfY$lo_jat z5<`^h4$eFqqHVl*l&ojUF8wZoF<>gA6X}N-(C6cc)jzm|bLFf~wcjjjgg2#}NS)Es zH!C?kzH#-mb{~GOy>9!?r&8wMa1ywoNFpys1!Up8I2$?9VKA?U3wXrZ+B)^RbQJ~Z zUv^OSQldS5@%A`PU-JG{NuD(+CuW=WH;VyTRv3#J-uG+7VN5^MNxU&b>aA2Q2;K>T zGZ%CK`CVBICi;OR5PaSAD!>CXqLNeY#7we%EFf`pmF^*IeZe_So^9L_~a#Qo&o^!FN&FX(nyNxZO z&x5~r2HIg?-%*LdiD2MB4kJrL-Ww`I@-iaHsNk@tdrM<1^l`$$Dpxyg|1RD_B2EIh)@7;g%J@^p-|(lb|6F+V|04b* zv4*LDwyLz;1n{S$3{-`L#M`#q2^2#U-g5O7Y0sAG;)+X-sdo>IJbf~BTl?6=;BqzM zLSy*l$G4i~ioW8;>m+RWG`7zcRcxrcRFxE6=Y1{pS1M*em^{+UnF8Uc%Uo+96G74X z+9wLQOrXqlnV?_kDP9B)YoP&tNi{N&AysOSixv6E5o)0cQBLjebJ#yWkun}@_yiD7 zxIc25wh5PP68w0o_hp13E;<+0lQRUV0wLy6V+sL$0nmrTsAby1n2L5Ja;viVfuoM= z)AnU86cop*TnE+-sPwq95koW3JDxP~r28jMoezhgT1LfEt5$2y!2b z=$gTDV_QkDUXZ=5$Y467H&nB?f;4$ZOD>-NcwTN#^xLy-p0`ai0);l#KY!dagWm){ zSVxuNY&emQEmy!Zl1q`)2F|vb0Ov#R+oTH01WmJIgp!LCNEQ|Gk_!F1DasGFg~!lO zv!4?|?XP!&JUSK1G-W{asVeu%c+9?T!yI7Tj{SVcKLeLJa6oHcX1caxob9FkiAMe; z5u4p-KeXMOJ$xUz*$okjr<$!}j3m~yp>2jz%6VCesrJ0{&??iW?K~7%h zAz2s|-7^A=G&sz;o}1i-D3J0DdC?l>GZABMkxK z?h?Mp8@|*#H1(_0EklbVp-2V8pMxBsLDuep1DsmW4(`IfM@PNs^-h^WpqQF$qHXWU zQ7(C>;yJ%!+U!hFP_-YFHGVn5*}yyH{QAOMjEX6zoSu{}4uizeJ;eEwKe*-(Y5hjMie}t|U;oB;U>q^vP&ayR(Z#L3t=|cA$s~rRR2W(# zJeCGxO6EYdauStA^3u=kGwtdhajBsdo0xe&d_Q(eBjJ4$cHccQ~+Uuoc9QTCV*WTB67Na)A+uR z1#L0qnphr&%94;L4QW6v2uf-%1#K?un2mymYi!HvY(Lh0@x3K*yK%$RjSmxHQK0|x zw=*=cOdr%7Eq2&`3~sKW8;iTP_^p11@^x;un|6C+PO#0rxa21lGNi6cuG>0|QGys;%)Rxa>o_?@5wtx8Ih?DjPzKsugYmeVCKFZvOTiOm5H(&}wP!p>;f;6M% z#AHCzv-9AZZ^l9z`N4W{6i@o$XK+WgK0GZe|IPfz`x4VG3|BZ?M z=9>jPy~=8;OC{&dtm~Js=r1fMO!e7%dir-JEA0>`G?Cl=OglS-bn>0wFom z(P_zd|F+dDn+waBpX^0=3a4%uu_yxE6mJZeW%={F`cLGYM?EI1nQj^+NAz3tj!9KGLZ-jnk$2-$M78r4@@}L`aD7AmJnzPu2NJ)KG1A&)pHfAFGMNW%U5-dzD{YDo?j(C5qoHf;l2BtzE)*HK5b8jCjf4 zcr-TEx4LeRHE%hGvL#Gh|I^k`pmWZAnB!vwmIuf=SatpD?XYxVf=c~gE+t?Mxi7@w zC-R}wAs~vBw2NhfP~){@Ok;ljH;*JQCs76QVXi5I=F7(YonS$KYEjQpuiO+{%PXa> z;h=X^t`mo*p@U^9B+p|eMvYhZGYfQljOSyJ_KOp5hY(wdLy3qbXzMsjkwJKcHmklc zKCqF~!|Cw%61}QKbjZDIHG8-4K)3bY0)-*h7M<^?<%Yix;{nV<3j=s?Koc032x7Mkwh91!hJ2T?ydZlyTPoU?QT_F9s3kY@fZOjXt4{%{xOcgYE@lys3cL|J-K`TFw znWlsdH0Tz*Ys>AHjB=cE?esSaYdeyZU{_l|*?z`S6SLn^3KSM_J+;I7a_DBX!#TrpUi7={lrp)mcQQjRxyK-d+`OgE?@-?`IlDL3l>Kz~x43$R92rIL z1pbFY+@I8s0YT5h?DVDJ^gfhIaMior!sO;`h2-OI_MVggQ)TDW4trj#d*&(kY&f;X zv-U4~lj2|s>KkV@Kqx^!#;dW3IDvr17d$$dZu`Hr7k>tgex4GgEwk#SgD{HycH0)A zuuvWQdkMBbcG?`V`x_m_FiSz#R+nv|dKUy@P##%~nqjohx_pOYWps-q zribfdFF+sj?+*8ZoAAH+#qC$KBWrNq6$3ciU>s8r4*YIZR`6ApIZP<0({eRCyKMbs z%uT9byw|H4Vrko4{~ALcn3CS5dh!(Eru^!yW!DX=CW^F;EwYj_($oVU;2a?WV4^jS zhM#=FJjmMBUg|*6_veVb=`8j3%wpu_dWj!)JaOF{aZY<{+xSRH?EdRdd>)87KWWf@ zy4v^Wh_d|Wr@l@6GY?Hjt*K6GcqKA_CIn}vJF}S)`W?1~aa#^v-zKW- z;vSKHIZgi6t$QwxQoHI#(4U7_bf(LM7QT!;!8D)GsI!0#oa2m4FXZ8bEc+obWb=Zc z^z+qT8!NWx@>{5Vyjc2pP>C4$I%)30r(TPHBc#5A{3)h}Co-i%0JpRagtZUJ%3VNm zBxaU64n95_4rd91`q``n^!MeR_!_kT=R@@7e<5`IHbeiyCc-yk+mShk^QboOu{&tW zuhLS#l9W5PeWkn8decqqKY2u~w;gp~TkAx=l_G1nb=4jRAQC{mfcHVH0zDryfWw-G z^D8xSNgYQzFi(*jLvtzy9Q)ek+va&{M;@K14?8jO=^f~TCw)P5D^|-s$9STL zuK0pg{F}yq$z>LCza&*Pvbdq=crGO(iMtAsy9po4IegZwg_ksz&*ABis7Gxc&psg= z!N-uTuE_2qJ`vRV26sJPdWF9Qy@sB_4#|atX*18W&gU@_X=^BZv*HiqU!Vi37O}Cr zsZ-B-F-&iTHr`>Mrt74&5q=I24A({2oZpVU-*uO@lU?wNoetmaP%Je0lsW+0%22E@ z{ay?UuWYz6}#KLqFW(tQqXOdiTq8KQS(@6pRJC7>9!J zF-EH&vV_3y7~3bns4D(>e8FZY@d>D~lH)36{+oyU&*jHlX%LfEI2$ZEbmlFu&}TPg zKyMi^#rqoj37MU8muMG{B1hHwCea4{Gv^A`kGiGurOC-<2{jh*CaW)!gr_m_Z36a++P8H6+dA6&E>06ZU@27f+LD<$OhT-)p4P84n^y0OkZ z=ek?14zsuv@rx{*Gv!TBI^ks8mblyQ^M^5!U6d|eLOk$f4$;mxox9hm*K8`zJk4BN zgnaXQx+~9P-Z0To*`q8Pv%>jDEYB*sI=36!{G0+g{9>6{35@u3PRk%a(D5S-e~M?~ zuq4j54wi+>HcPv*EnVt|{;z1Ja%8btl{j5eO}y>QWYeAqHFtMnE}){>P)q#^@gwHp zr;d@oQ}@NY*ktgUo#?0y*;G~LIv@LTASq35SjVD@_S)-gh=9fr#E$(2H}q;S7cx2g zf{{3^Qh{ek#RQh^VeMmhJG&>S(VAkyWL+l;t+L(qG`%(*Hnc;%%(ETQvO%k;Z=LMl z@j(9->l(Yr6~7tVIKa)AXR2XTiok2IF6k+;4p7~)a!^T46iH88R2O^qWMHPx<=SJF zB5Eh!U>cv}e=^d)0w1G#y7U4zupi`8=+U7TUx2n*3U|VH<#o0^fJ-v&IEdo-8`AW* zYLJ2~cWUda$xv$Y4tA3z zX>iYua}N;VlWq$$FMEoncjyYtzSOJQop$YWM#OeUIV*Yqqn0-DzO52S;1cLJ^#jW! zz4pB;3cgIcX1l{8X;;w8x;vldH@2UtCrgG2acS0Q25y)C#Z3JMxd03o;9>mikg|0Q zO?_?#gxnP#t@iHXgkdL&ASbu4xMPkl&D0^T;lZYX>(SaGPre(8UJ&5t7fN3aj#&CK z*K)euaRt!H8ApID3;1UYWnLV#>{NnoL+f8I4D)o&G(J}v-8|i=53RcuEUTAq^!{py z-_Z+`-~ZV&Mu81lmO6I@qb2EI!Q>jD*P{lJn>-(Y(OeV?#2gjGTib0)E-KMBk~NGm zIC8uwKl0({+0xt2i;~C{6q>$#If7|ce9>Z|)^TZG&Za>QE9VV~p@0w}t*e2Zf0b7y zFeo&2Z-cx}bR>KDi?+q>@pm)Nmt%D+gKqzyh!Fl0_+JBaGscqIRU1y?9!6B-crFi` z*^vk=Nuo`_#RprhXEWt@IhKoeU|Qb_Ta}Be8n+vPjP&$t^gvl0u^jG0BR!<&EDb)NCpuJgjbcby;mRwJ>AN(^Tm zL-=8=U!F*{n_ss>*URt2=CEw7-H+Y#6~j5oY)Z-mvRVk=Cxnzn3~zQUPVMYRuAIVFlf&c=1@`D!A7Q-@w7XK@LFpdSpC z0{Vysz7o&Md{g8A9K9DifE6virBg|*snJ}M#+PC7wzh1YXHoK*iYcaWdg^X%nOk&qqk8f_y0+n~-UZ3;%|M{`&xDe&sYyHscZ$`(+0DHk_t6zT&(Q*o zU(Xm1aK#d$y{{{3}ks73k;KeHh~ou+nKtGa`VK24`KlF7$0IEZbB` z!Si|FI`f>>B_`Rb!^wA4mdDn^??+9HR5$6Q>&K!#kM1k`K8-Ho7P}QKy5@*c%?XuD zrFkejYZ&4jmJ)4oxF?kF;g(D13;v)cKiL{#&?pF@@Q z*oas)OB$21kT*J63ooY_&_f2HM~rC6>KCgkdtR$kMly@ybsXgivQeMC`+>aR3P)sl z)H;qsT?e|ci&6l&sX9K?vbZ?_@Fsm&eEH{$%NS>%4lvSuKlyjta$*^DjrG7bA`6Tw z5I%!~92xX{HC&t~UX2gKXew{ocMRUvKjOd3*>m4Mh^pUBbEyrNudAr9_D)%D+B}Oi zoukjc*AzIAGy|)-?LdViebMcHx5N+|j)a&?DywESGj(2nE_TyH{5yv(`Hzc-zwm>L ze~m9bQZ0U)>< zh08z64P4@KRSfbK>jYJ+N?&5^qrN~w5e;SBAtzaEWO7mZW&Wd+etXuh@;|=E=EX6G z{a=pAI$hONIv}mwN2FmmSoKJAawje0eQe2#wQ2FCjLdR_MWQ4#BnN_HLT zkE5o`ZVrC{i+-DxE{xHX=YM7%d2U|+DR|*OZDig4cI3bb{bjvD)wS1!V51of$1q2OA;$cGlWt@Fq-YkOfW2dxfk}-(eca78G7I0>uNQt zNGZ?W08m@CKApT**hsGgYYPzVup_zxk)6r9BD~tOJ^L25;r-!Q#>~=a994+(1}=kA3Tk+msCI;!uC-z17=B4Xw4yz;*A zXYXy#ABQ%f>p$i$yaAWRuf5hQoY?^K4Cx!WV9JPT!vYOleqJvf02LI1`p`Rvd4nW8 zzp&`slT#mkcDU~5sJNzL^U=2^`DQ`)r7xyGdp6#K>pPRv(8Q?pcQIAERe09W=AzLX zdeFQ6x7*{!TlclRU808jNm>=`!Z9F%R|>8OoT^nxl$bcEFP9KNL!If6AI>wfv)q5J z=#kI*or1g0t=egmChqXD>H3S9W_@c^6ZB+t=Ps=PhmN>x9l5eP9Tm9W5(~{0@!cR8 z!Bb5Jdx>XhvIKhnZT)~9&5?T+){p9`idPpuDQDJ+eQe^Fylebcc?`b{mutrE$Mz84 z7*~e}3Jwa+5&VIoj4M%)GsTk8ek48JtSxgi(v&KQ#86baq?LbK3kXrsra z6kNH&_u#*@SC#AIP*6Tbw2k+rVT#oKxhDzcU-S;oXh5xH5>m?yTUQ@xJgb@}5KKXl zL^-_P6v90YgdIn~-2iE&DMRM{9Zp;(+E}B_y=QOK99S0Hf+wXyW3!Lsuj39qIn&t4 zeDWo?Y(KUe`bMZa9I8_7=s+&0V#`!-V|eF^4)UXoFRGp%nU21$;2q|9bB?F+ZAMP6 zbv89OLO51YGJ2&rNQEUjpJHE2w_}tKUrS=(s_}WS@HyOi9r$OGnLSpg7)mivQW2I6 z+vMGk6vrF{SMM>l8n>=Y!gi3CvmK}&Ub;snLhNYWW5tJ`CYoriOD^7c;6O03@mYlS zo(S#C!4*vPUtQa-pUuq9Ws}KYgINC&l({P|+D61$*vKF~>Z=|>OHO2#B~$ZE#^*(l z5$#rR^zPEAnb+2bDfFJq3;#w$^uObr{GW!THZo(px^jZwvhp;wA`25sVr`$S?uF&**u`;rmJV#JbS!JZ2J9^ zsXqDbBSAjL_k^N)Kw1Rac7_m>Y>)=}Nx(p#N0yto%oNTxPVa3#+N`N0)|zAqW@EDV zAHDG5*qyF8*v(FXez|=6MB*X?n@|bUjvh zPTBwCio|_`%WOypBZGN|Q~rZX6mxorD2O@7P#F%@KhN-__|b%Xrw?mE=-4E=FZtW1 zf)*|z`})q7?AeTmyMJDN?2lA#5%*K5Awgr>GJ+{!4_MoPj$~~Rhu<#tRXk;(Z1Y3` zRyaFCE+)VDQCo_aZT*XzXR{}TFJiCW)x+Mf!}8EjldHhiZDr$$D8LRtzf0>gow<)u z845MHNHtH`=M}%En(y^sPj%|}ZM#rT=r++%o!fgKY#mZ{kwmm0O~wWbgeLjHMgg`H zcE)$YeK_~;R-EcD<8j4e1r7K{UW zhifZ|tIBqtem;iX4+@TvC#dGJzS_^n@1#bJnq_z^&uw$$)qd6_X795R!C z3#X0-}cPe-R|0OBvXlbM2L4S|MN4$7rGCma^2a$Xs;Qho=0>CP^7A% z>o8U{Tt$n7#l#@QhKR55ST8K7CQXnFeLcINduOZGL8V6-NA?Pu93J*;K`xJ6!k49I zOa7KB$ibpTAqL`AXx{u1btF$jJ$DH`1#Wq*l-JLE0e>^W?sX#3_t+&ks?OqEe+;dCf1F+ zj+P(jGAq9K{erg;09Mu zS3Ec3eyN@Jt5Wx^58HbC)OV!k4L!Q+;n^6WxV5_On)XVm`DO47r_eSOFp(1PHQX|J zVHgn%PGUGqlKdS`Yv`EJo<3>Sx;3C5KMP}RF?I50MdnTO)B zN7)G&Ev78mcL*6KS`L?gTariH7r*{PO2_HeeP2wnB3S0y>aVL4+#i0J)V{GN^76ob zb`owVp-hTaa38y~nhXmi9Znu1YyzW{H>fRPu-xvX_AQwFF8*Ho)R^O9;&O^~^gn zfpbEQRXt*C{B1&Q1^g9V;Dc}?fTlur0T{y2L83jXP@srb z`N)ob=^@E1E;s68wYHn$eZDxmqnq_*YNaHcte#m%*_^0I$K-9p>PDM#q#9_j9k;UN z%PhwzhDS<4{Lq#EkIJ6xjs1smA$iD(kb3fs0|9=9Uz973@DD(bh>e!D6 z5snN)qh_)9Tqlk!&Qw=@d?peWW#`Q2#4`;@I|C~vc*fhxVl!{YKFshP^)0@g+CJ;H z$L*H??l9P1x3PxUZ5e@&O?y%T)7uxG{~H+ZFU%rM5XJ#k#AzlDZA7{K8ZJ7{IB*O1 z8RmgZo?8HYck8Z!W+WE1fF0?L0JC=UM&(a%o1w!2oX6pb9}xX-e{jtKZ#Q1AHSV|l zg2ia_y6qQ^OF(~c9o_qbs~G$)3PKD$gU;TN*aRf}!a2{JQh#tgi}=CS4^r8_YUuBi zd_!c!XFI^|f%~4WHQJ-aib8R|078>e>FMnkPJ7jk?K-{v{Hi~GxC2-`f9aH(`@wa) zfD@NQxb^!WlO@?)1jQ^R)*66kKeI3mz=%hV`ins8;Rjbo?2FUejXl5r?IXD%OwjgT zm(S8zYN!Kq zP`+x<1uTAlQA6MVGKgydNnZ<|K7#!cH;G2FWjjEF!%F`)tAJP#tYv{0X#0%uScR)Q zq|b6AerF&5`$sM1h}RGc8AQ6d@((Wd3rj!^_8aaoRD~m+2VekEax@3J0KI~nhH)Z% zey~=XLlt6eFNP1#SQykmbARs@H;k9_$#Gkp(0{l zghf=s%nRT?_!qEC0256WTn()7C~F-!7XbIyYwZGmw0uOKn?noy!38=C+FdKbF?tkj z{eufR{DUjCdujbj7q|R{5(n}-KJk05t_Yh)|KJM4bDll;)(5tBHwgz$3OI*pO5xz7 zunQ1h9^ra!eMHdTdHMa;H8s`!Y(VE6@SgOI$PutymGcM3NM6Z&OHcF*Y+w zn7c9i7zL?lz6#uGmh=nA)(J~!+jnNXmJw}z&c=fCRXaEXU$*Dx=RPory0%rlJ*4n* zy~?LNYWVxBWI}f>XTvYA z*{@15*Q|giYt0Z$dBB@@5>GuFPGW+Lappa4i#|=Ktp+N=QeZ?9!1%krYwB6|$ghif zt$x#2HE-;XJoQmONA6AIdBt@borw;3e<)C$32tNH&Db#rhfJZNcPakEGUQFF6Yt%3 zbg}l#CKu~`v)|UQ=pE7jN^bQYp6uOK?TW-FZ?!0RsxBcA0l`^?_Yf(@fClp%+Gn_& zBsB$NnmcgzP{mZUqFikvHaRWI9FtJ-KhiU-!rv=f-fyIF_VtL?xkSze01K`&WZzTg zrU`*xSVe62fCN>bdio)enw=;3?y*I;UBQME?U{`{H8KrP9;`pNV?gNJiLL4)T=W^n zKIoLuFcR<%u4WiBFJZK(7*)Y{!}@$$UKw_uQYX0LEhwH>jrT@NpT*is%W9lSbg^=t z51MW1ZWs=j9HarZ3h!2o4Re>?y4p(J?W&0Tuw3?`DOo4Eo9{t)#z`$B)NYl~A#Qu0 zkMO>%Pbh=ukSGpFAnGq;r2yEC0-W@@v5TPeu|mQ;tAHbeG?0*o`2Gsxu^v}qg`1S& z2Vw)l7fuUI;I9Ge#kKT<83YS(Gxjp#%HZ}=h3st<=tk)S-ACZN+fP6>c)7c~PW+xY zn$NHVDmiCi)d(=DXa>lRjwuww7*gD6vb-NGZbJ&OZm^5Wlyt#5onR*rZBX|M4o4IDFh&%l zur23cr^KhD*0lA>$+jvgFh{4!l!k)5B7T_$k&W|*ba@Zt&+>W)594e3kU^^WD*f&l zx;3Le*%m1-tG-Gi)4n(>#+7DE?}||0f>ccB>6_L*oUW$uM)NvJ6T6E25-W-;KUXHq z85n%4U-`ie)>B^txB^RQ$uX4~j-toAYVh`t7&lJbf}JXGRC@k?b47?~quR4KQahn~ zoX&(*V3{M(`arXjdENq7uAhtYLqbZG?a~|svHb028^(*f=r_Wx)~Lkoo$46-rYCzV zuTuV_q+N*p<(*cbX#d7Nk$GYQ_ZDA?;OBG}FWMvd^HAI-_V9!8N@JO8Jqq|A3_uPD z7@ib*vPQoOrzsxR>gZ2?qZa z3BE10+qVyRuNnA#h8JhURwC61wgDr?c*MNQ;$dfEj#9rikQ3rECQMZ-GPTHa(J3|* zaoAat>o+=-dCgn4$2h;AP3dXey*+yWpnSHr3A8|qC7{RI0$_gxoR@X$6K9_;6=BL4 zeq}pffK@D}Zt8mQf-1YsE-kfRTlw)B%&hp!>{WDfR%vC`Ss69@7+CTwT)8~Uj%H8= zeS@Fc#JtAPsvHpdC_n5=c^6;Z*ruKN;k9_~+JlL!cn`dst7G0LrOJNGBYq?SRWu@f zRi`U%)n!nRkYK5idl5mg0-s(`>AlsJOa*bAt{;m4-*!6<8nb&ly0yNfdiTMzTe;SN zx%JraDx?UD4hI!1lVg-oq{rM1&}jS0ts%J8rtS1hl-;FNy3Sj zef;{`l(MHul6nI$Cd3xG7I8&RhE8Co4oAb*Vw*h%w{%rY@S9n{t*&l*ZK@n$UmPEm z%hTv+Q)a>sVC*Hbola!n}w%!|n-~+&Kd~O4~v>T65R=-sj40)^oU+=4EoYKF-_1;V~dkx0X(syy%S zw5RO0nb&gvu*fT z?G!h;NxyNcPZ6-WTZh_ar#M3R>>0?tbUhQ-Lbo{hjp>R-Z{)zoAjZ>c};<_S)v8 zU7Js3eU2!r?H(yL@F$y2qeB!48#P?Ttc)($88UU8qONB;zKbJ1;$|HKQ=Buvc&!1G zZ?7^z{W2F<*$ciY0W9k+#Dcy3AS>8{SPk*Vza^BntT$)OQ-sQqYfS7u%~o!RqPo4# z?ladrP`NJm(4Ny@5=<1d+!6e38hU~f z_Q(S_l&PpiMfzLHwAwk)rgHj(dWGWpU(kiW$lN8M= zU2MG6b)C!To8H#9`tTjPvOV^DxIbbe;1muXfCSWV)-%M1f`gAr#gc4CsBTFvrWPk; zPC7fPJ8rSH2{J@~4!wKb^@`?cC^e1U!g_+p1!VYsAe^U?^?z{12LPuE0S3~?3k-CF z+2_m=CaLQ{Z%iu-*TUz@9$2usCEmTr13ULg0P8nQ1# zagY6~y+(!+3L5uFrIYoZA<`PG*k)c7Q6Z02k^slmm}s7k?DRK@HuSrx>&MglN9v60^>`! z+=*-HgK_vWfQZpK=&}z*{Pwk3!^_xpR$#N5BRtk~U#CE+7$3O9=lEY(mk5%iI_ za72Nc19+}JfRuw?6FxOeNXACug5;EUOd#~zJRdmfUqNGjJFw)x($=oTJ6*WK*+^WrxnX}lEWSPHd!VW6 z7Lg%O0F#GcECr-)|3Xx&WQD`A!Z96b!NtaK*1$Mtj{S$;Buizu_AZD_?+rrCYCqxL zZX$-pyP1i?CZVfY@HeF$JVnJ}ea*XZvYr=s)qBi58pNEsk5r2l&3wBEpiyg(0&{26 z)^M<79MuBJG4+I1pq5lfs4Y_}U`A4~h^F|Vm8H-2Wd|&&kPO-}l_RTFKD>$6%R0VL zF`D{eB^8ok>?Xi`frk-q5<~D1H@qKb(^J{0?|h+}?S{(2;dOU5YXhx4&?3woPp-eq^d=jXp-={K_QB^I zX6G(sJC_?|HicdMKD zn)i!_Z%n?%M!okRoYFK79S)v(>uUU7AlzSHIW=LkOj;mJYI)FOLl=sL8Ra;PxlWF<}z-k$okOrYcDq#Vd62<=U= zW_JABT#kbo@b%hUHW4yW|F%E^$ZBoFdj{#aR)h_ZdvZ`!dEdfqYH5mAGl*@Q?y3}g z)UYwlPDUnC_DaU;Rcpn36l8+gJ{)e=Hk!?30B8_F=L{A2D`)Cl@7Or+F(8qbK)D^$ zb>MmFgXmpGhS#ZFVyi4~CO*U6)EY=>njF+N?Q7-C&3L)NuO-8k01uUPiUDK_OHhOB zJS#10i~mlK`SR}di~~|P9<@vo=lkzcOy*saF2fKYDcwy)1(n)S2kGbAaxb%>v^7Rl z_Z%xq_?q!I=C6`dRJCreuCTW7(LBI={=lSZ@>`U}Qe=H4+}wq|@XBWCFP4%vY{g`Y|xue9tu zBvNA(Oy4EeG`C5Ibv_MFw`#o5uzthsQDT$s53W@)fR0+?m!}y)WJ8xkN-!`+KMh~a zQ3Z*3x9f}`I@J=59cCVwM&_NQ$Bho=A9)%%5~~=n0qgWk%xiwxdd|%nS3pAW*`pQE zUV;Vt8ITv|(Q_ZApsLk~5XPoq>bt0Be4@4^JNfpw^wY<^k|#HBITc=5wTeq#s|&Z8 zwGPZ49B23qzw`eg?#siW?)SeH zC3}&5naY-IB}*Zb%9dLyMb@e8O{i=W(@ZIQh(ZxlA-l25HWOp1B-ytZLnv8hr152z z`}uS~zwQb(}X^Fto-0$H( zqt97vDKQca&jsPFsCEYYNJZE{*OY1PrkqOMys{=?zAK5(ZiS!a;K;hEZ+pr<=Iw5l zdlNq7Lw-r7&*KM_mc&Ul82$0*gzDZ`2Ne9Bl>cqc-K#U(-VyROuG>_no7#?yfQNK{65D^574 zw_MU&_%QVD>Wisj|BG4ayN`|@7c^X1a#sL%LKd%7W7se*b3U&dHTOVP(nVsmgH^0f>7wnEC*VYJhHwZ-RN%Um=$?XvkiC+xx9iH|~{ zQ2A3@pygyR1z++b+Bc$4l~jK8G8&^O^mv z?DIr!$}TOs&z^i{I`Q4XJ&c1kY=xyj^|h*+#v0dY$QCE1FM%)Y zBjtRHVSad@$65^TM4oY3U~gaS8LI#f{%4>2pU3!(8h;P+6Y~DFPX7-wLjNyzI|V!O z3|B2Q|Cu&QHy>n6F!w;wtilqPFAiMv0r;@^J-_%-hqBs7HJ!pcM)|dL`8EbkxZM*R z{I^xM?cfu6h)o1RG@KQKwwT0kU@B4HMHd+3QN9Os)a8w9s$aw@4z57iXOpz~IolTR zZdgkmK4HA;-(_63OW!>U8{M{=|20&v$F@cr+ZZ}NX8kbVIu1T~+`Es&Koq{~O3KyL ztjxV}C}$0iG#DA|nFX2AzXrUvz3_=A)XK)5AEq6PDYE1^xQ%lX{TP{YBD8;_v6fLw>;2Fx=ve!`DRbI8Yp`!8abn>y2 zyJLNq9>wa1+irNX?({>B1!nzc_>=)^Tw!cTp}V{a?!4~|59WQmm9zow`AG}A z|HNO$+CD=lS)YY0LwdwH4e;8qvXlrh$ z4cn%4>Y8k~#6NVTJqR|hDnrEbs_X}xxV-m8{$0rpI(cG;hhA~duSve_D%oW5^TMN2 z7yKFSn3sq$dQK5B8hhSa6xB`|7f!ZmAJ>C!P#p$ObvNt@QcIwBMC?mho(f1pR1~!- zULbnE!e<%DqLoI7eNI4v6)!InrOmRQ0;pSn(p-J;F_CM^L$b z=_~Hd|2U7g_pd2lyeee%9k6CfvYxZmnMVeVl&(v`qd~F)Te<`G! zuG`*t(_>`wq?W%EDsR?hJW@NK{AhG6g?XPmJ~FsAMDuq*U;Q@EU6~(2tU_0ZJNk$6 zl11k()n2czn5k&IZ(Z=$WAUGx!ulV*;352<8c z!zG65m>FeRS^vvHH7{lwZ0Mz|8sbDIu3WCL-~-f7=cU<2qva{F-QH8!XqPRJiccOY zl%y5L^=$6ryyw=%Q!3T*S4BK@cbT}!71KIe;idQ{*f8S+E9*QfZ3QdstxqijUB{Ld zP%w3F5DY__`u16D9C9?1Kqg%vA8eYG$o6ke`|&;goPqz4{)aFB09sCHx142<*TExo zgeBy*>=<2Esew^XA%@bH_X&_&UrisLYjUFwJb9^g&$y{(ZVQ)Oi!JwjVj-rJTvZbh z=qCmc57!J$h!lE5V@+LnbduaGZ6&z4_QuaMY;4uMd-op0=8Y*A3oK0A^%yoxA65d^ zog6I&;{gi^=+o*aU21}##o5xy6wM~-8$Q~FcFB|BC1Xd_l{2kAv&n zte+5**-v5Mw^nv5R+#7tAH8i(!{km7heEzK^`c-cS%(K#h*1Es6$RA4z_U99x}%Qq z$0bKhZZ@c%>U5z0A|Cz6EBf=nz;A#;8TRb15g2p3ayvpM&>FVpA~t|l70664z`8rv zWN5YLhGm|MdezXRsrCfjcwKUR^rzfA;WFe-4W$5{D(3dVN#&b(f*5qohqt5Yy_Ng3 z&ZnbQIStPb?M*d5e%VyX;vfesqtWVm?Op%)5Sis%rU_ETuS1=+P-BFM_NG0WJT+W@bO;xn?cgbq-3C-~gMb>`7{tH3RFA^pJKkE|xDgE~C&k3*pH2nr5u%8*0 z|2qIT{<8xClsbl3Iw-+B>j2UCA~++j{=*zoz>g`W{||41GeV29%8Bj*;y~oCk;d0b ztTel0XpjXuS2!6PzqW?V>s!+!hv&0nuqv8TN;l%q=yFRxSUGQ91tIBVRxH|kQd)Bh zWI%6(5QUdUl6wGwfybjMmVRh#{^M}-tT-jL#g?0*#tM&lr?4Jfn^ABQtP0<*DF7jx z(|j{>9k9*&>5hET5|jwp0pW_v$2QohS;`1nC^arsx*3>;auZ0d8aUtfj>BekR@7atp+L5w0|8V89g17Dx zruXlc&nC#2aAv4^ntk%N}d93dXQ2$9(1$ID+sy__iC>rD zA&0CN(1q-2QpV^$fGDtm+B)V)mkLtKs{$cZ+9z70<#B7Q)J{$S;W-nP;GUhCSK_nw@Y2 zNv?|nMT!kQHf=$|aY81&K7@|v-mN_s6ZT|TU)?XS#j~V%%=4I;>z8wgwKZ5HH=O{$ ztTAXxdO5}R?5|oI18;B<^y(IZHt3iUENEgbT);uzL_o(JF9K@+kgYw)5WIl^U9`^> znG>~2Po|DHP9UVb_51J2NteZhjwzptnb|$&w`iZ7sk>uqQIYY%4Y!tDY<;3gZ!%P^ z;Nv!P#78jsHpvvA6Lb4yG0=&T{j9KZR&<=9k^A|O=y&^O#RkHES2DRlny zy{vi+U67_|MuA3a-VQkXpbP%L_Ry%Ff!G5m6QZyaR{@dvi)Ubx=BEdSQ=b39qI|%b z6GX-Kp1*Un?_M7eXJgEkj9GXf({l_?J@7lnBk=9-EU=3pDqOsn@R!!ZX)Gm#xeb6M zAm#`@fG^>1VvemWa7%au{fEVy=D;MRH(`yZ_M3@LOGdidgR>cxY}s<)y9ZVZNx;px(1dot4G3q;|Dp6b3PJpD+SItr7HEc0ED4tPGDK zzQ`%|=Ja{IKxPp9l06Ffd3bA5x)h$D(tMRaMW$Ne!eLu5s_ZVD3|kV@jjb}Rr64wg z{?Hg&Yg-wWe5$W64seL9-lP_C)iI^k{-&(4avs=9bD$JbXJR8E~f^KNVbw)py6 zktUOwFn;?_=W~Y0hZ!MKPiBPDfdWg;FobNuiWnL*j4*wJ7;Y#o4<$7+KHB1&Qt{NB*ylW3z`LkG% zo>WAt4=X>56kOyTB#wdgou&^zk3n7y-eWP07eAG?iMZ{8DPD}T3xi%W zfS))71VY{s4zV%}O&ES1IS$OzP^5SqX6F~S94#U832`9sTuw!bFnZMfLd5QOI4{v% zaXee6hlf7`5%B+gG~Z*9(}Yyg*e6O1ObpjW^i9c0VaQ8Ce; zS)bP<(kHFN_z>bl2#0f3E8^;k6`MEuXuMCU*lT!MVzbjted`VES8(bH9Pss1xLZa$ z*#mU))`o+OBVTIti7lE!sIE2#@!_}+G&8=&igTl*mK%8ZcM8&XU$i?d<69zAFA@O>|Tg8Onzqx3THUGPheizvW7h~^Yy3=M!UL^#>xs)KbI>Z|Y5rmmq zN4cXE29%K=&c2RqiLN!h#ogJ_!jtBdl5zBCEHYDdoPw;r)L8xNiwA%LeaCIttFW*tb1$)G`t@pjy?vBO{n`F8?5wRX$%5w7oY}=Qw-I$+;c8 zd2CmNN{JX}!Y+eH9`U;p>+p}H%!P_CU}ryKR$xE4t;|EzSU}55^oHNYRrN2m!bXwp zt72pxtQVjq@F%6{+NPZ?aPig+s&jkxhDvgKZtkLzb0-^fk~JS6e9+c{z=gJiIv8-w zdt6y(YB)w0O8U|alllgi0-OYdjeQOy&Kg7Z4$k8aABJyjN#VIe6${cbqN(CJz2tH| zsY3MAtW2X#%p2v9BO~~d)bwgAPI!)>KQLbf+YSW2$`M;~jd9NmTr!-MLKu3Xt>mgR*jubJORDHfUZB*k&lzr3iT3bihY&yCB|W^Z1k zy^B!S^sO=z$ZJk@F&lka^Flg#%JSyRgWDR;-@C}l0&Ru3A@DC+l(1m;+Spd;;UQ_r)ob66zgCqJ8{>YIHH7 zZ8zHzog^A66t0<3Fovuwv?ciCZdNXKA_q|!9Qm!VOZ1Y95OkedZOxAp?VNq+tFiEn z&+*uc#ElJ9l1}sf{WzVhBT`3(@3CxX`0pHQVQ8isHTb5_4pzB4buf+~0ma0z1BfWF`qR~?y=%8)3%aQxCCaGUko5hiA<6Eb~Lj#80f)gRcc`5 z0dG1rIWm%<*fhBm6>`M!k}ds;wr#J1?%vUy2HH}P>789|owcIY+BcAVpw&=*^$B|r zXm#&`K{D94YkViEgE1f*tqOn12iwLpZx}2I=o*neQ_+uKR4bnJ@tF4-d9T;ACDB${ z>7b*VvFq;~=6TvKHJ}sEFEQGSZ8}Pj9LMy^?RHV>)JiSTC0D zNJqPpwFK&XPTJ^@tdV%xsq==<9c`vDUpu)YcGPsb*jh%D+BISx^bFjv`}%54Zu8sn zIVYVH`-{2OzIc7SKTu^_M>oPihZsjNLoPf}FxX=zD-UhYaE9tz?O<|&vf?D%Hbcci zhjSWCx%mz-vW9(9w4V5!N3g!B)Hl=5*xOm`OJT5wM$Ms#!TV4xVik+80k7Y3f zsGcpFaYQkK29dcPOTP>8Oddi``mETXU`ME1XkxL7RSy%a%Nnce)6MI{yh?Ud$4^A% zE?@k57u783_783jt^f-P@RF!dN4625Wz(}RuvOX$g!9JOR+tN^gPiNC)A zKm6z-f&(~Icgo}OsCmN6FfilFxjIz!7GA#`%~jUH{N_);!b&j`XZMJQq((J3PBJ~DD|N1QghcvaA-}L@(d@GYWu3u0SorlOGYq46_k^U z>Sz}md9X}=c-wnDC8e5vvbbJ*IR2by52wt{?9d0c;v{k;XopE{N$(orrgSZs&=xqX@cPeXw5;i@dfu>EB+E&E8}a?!LxO*E($6yr_O(RE%heT-GZ?n^O{(eFi)d& zSZ{zpMjq4(quCPO+OGqawm_bfX01LNlfA~(p+VIxaJQJTnZR4)yT^kcw8TZxWy&7c zZ;Ol&++$<$r9apMz5kJWU-|Kq8D2`YC6AMk5&{{Xsw>^IiKiuwna5p%3)Pj*QehsSJvOP&{vbQ zG@Ah_k6YM@G+1fyO(Pk!8idRS3w^S|Pp78ITH<*oTwL3P4 zX&htQs+F~&6IuW=q+VJjxq%Et*C)gQ~7AO zM0-wAle64j6u_3ou)w^w_4Vo+uO(&N(|n{EcPUPHG4Y- z9i+kRS#_1<;r;Xsnnukeoc|I+)R6l|!6jQMje_^jldsgBu~sQp%Wg?Jc=>)3ExD`s zMlvm4GsXe?k|=6S)eSv}MsnX-N^M&HlEmq|{%nLeEI^XemAn($^&B|^k9Huwgb88Z zgM^GW{0_X*CH4tq*1YbLlWXsY3O(B+0PNxUQXmm-ipt(r^r>)zi1^ycE$EsK*k$N7 z&47Lm8l*ejA^XNlEp)G1yz9dn7asj?i|&UGNrP*grXD zGl7f2sH4w7SXv|rCS*&VjBK`!)_q@Hc%k5W_fDGFH0dWxp&?vlWDLN70@(HxmyM}S>#!Idp=}W6;L4ajGOENg&|JMo zQaQzIXV7(dH-zT4b_s7zXdnal@Xr8kVZ0HggAv#XTr~nPo(gM*p%tgRn5VK4Fd5Xj zxg#{4gE}U0)B3?F-F&ZIoUVt~X)N6K3H}>e$|C;&m(s0iH4A*y1U9cV4N2cKfW3s3 zK@mw(?enF$ZI#7GTeR$zo<2dU6pVQ%LD94b?@Us;^@YMC@x6b>cXDo~Ntt zJzAc1ca%Q*f>j@gAB_%#3%j5-5F9S35Ju}bjNOhi6ITy7Y9?D?J(C`J-7-2-!%mvR zcyj!Eh+-F3oquof5!?hGhd1Jh$8u`4JvB4@7izo%LO|l0Cu^`r1O^9#C6y7rOA=LN=%C{vK;TnFapxW;d_+ zmFNRXdy%oQsHgh-?s}xp=JsQ|US*1JojG^|EpXs;v82TS$tyekcMeoe_x_hf0Q(TD zaV<+jHFR63qljt$g1Qu21smOe46>m)sB>CWIKx|0t|C))?QAwE2q?aIwL+3LLAML9uCm49cBoy@FQGlVyh&K96%_8&2qfdZ}In$mp!Gz#~-f_>i0#UvdMc4 z%SgVFd&9#_1MYP!hYq&FAw}3cgT_5E+iZQ4u#GktXUIdr-IhDli*~0NzQMNeyJ)UMs8hJYs-WE4y8FegJ zT=)6<)a$T-ZEd!pD7vG$a})J)*F8d+b5zb@>SFTIf(U8W<_J&mLi0xHI!5^`FhZ& zq-w#^sXtJ_tabhRi#{FoBa4pp^^dqr5A-$k9^{cy@Txy6diHQJ`)~2+=O2=rp=1AY zb>ml9_1$C)1r#rSE@Xf<#PshXixfj4FbwF91Cs<j&4M1gbpxe&G zTj!ez+MC)jCDd#n1gYQw5iJ>gn)*>+bm{h!hz^Hzry57g=wl)0ci$Hun&-cEg$FJl zBDHS)Q|Y0hC|4vhPQNCNt$3nv?a{I!44^40^e*JRUCX2tAotIzAbY-F-2JarE&f4J zlF|DAdHs@rOLKyMZ2nGB;|dEWev|K2eFiM;kGwf}J@A94Xm5ZYIO!@h<#04N&6A`* zo^RAhsol{V5En8&GkGi)(L0@(a^OQ5kCZ_f=kytm0~~4NV0KcUxsB@geRfg+B2K}= z1By*YLEErbXRk2S{*pq zp8SQU9p5g+Fy9Q)D_0s<4}F;&Y{}rB05?DceV%5O!)kj(u@)NtB6U~lY`W8!#ik-5 z!&rXHua-N{>^ynx?O|EuvIzYlc#Ck%E4iIeKVu)$muA+getNad2J@Z{#=%=uY$$X> zqSr`3h!|d=B>j>{sp*S|!G)b0TXJ$zkm)#e!&$y{5U&4RwezI0N%TFetOieNd%MvA zR&D^FBk>N~&{_-%I;7f`cFF8&NVT2qMT118W$Ie+HQBsVHG49KxL|hwb)sR;KLXKF zOfQ@dRNpSch6cg+Z8lVyOzFJ{J*D=Z>8>2RWO;q-s76+92fu&iWzn{7t+FGWSByCZ zr&`zx6KuzB78ykLq0?q}hGPaq@J$?b5r>87lgh%A&7U#T8 z#UO?+zg9; zRqt54<%ZoqdyKDbgUsqpLs^ET7fj|pn1y=EIOhf1YP8GYbFcSztqSYO1#J_`=)vkW z`nr4e<^yU2R!=N;+rCIXY_Al!!T6U|rEFG}t)t)YYzwx+x=D!Ny8<;jnVDSp*+{DU z?oOX)Y0!bj{v}bf4sT9potDMxiDSD?_c|R*7{hdsIT|z>d)S?9PF5OPH1yCw@`NUj z_qssb*!zu+52|X+kCkw5z@0xwnwPVs}=7U1H7(TpOf^PBP=8~2PsY`4nN9x$XEr_?7wpiBk3r}EC;RBOGL5^ zTFp)fHeAHp}KQpyH;2=SQij^lRM&IMWWg4r@}E8|io{rwFQ1oH>_t@qW1) zxb4daOojK})DM8E_1vX&UatYrWQvY~;%M!ySh>n2NWHxc%QJ`3sEx*JleeH9sjWH5 zISo6*8y{~Oas655hZn;S*#hzU@2w7D)lfa@^MsZDOqZ=N)A)VhzA4VDni+>?@@lGk zvTNd0f<@ZO7PR)B<-7T-WPUvOgwxF9tU`4>VIRAVSS{3&$HY$h-NGEG=&mG3Tb{2j zhY~Crd)2F?m22aSP6f-@@h06naiYgk*A4repu#*#wQkak$lML}P8B|!4?ysH>4m&& zL~q@gl2U5eQ)}pX*=y{EDyd3S;Jf}a^_ihR)w79MeHoDS{I{A<=%ivCF>1OmH+rX! ziN>u_(dPE;r`pSP;&)HRA4t+ZcD9Uh*c%6C3}Fm)XZCC2RxEO1kCo7w-W3+yx!){q zWwuYp(enC}>(4Sx-_(pGiNyqM;Zs=l88YATtNsFIrf?UfD;B+tAqFAaup*UTeWt9V zgY^h-T7&iKB-roBKDjaCm+^y>m7Gs3-8pk^2svp1BUf?e(l)r4Cg+~Kmz=FZ=QsS$ zfmOl&0t@`=OF#UISR^#^=YxtK{&%6ka)sduxwCr*(t4iF5mU@w(QMsQ&$PHdPJXfw zeLEG>_i{U%5$9vrUAItU@M|&5it+(2=VJUIH zbIi>V_G2mjfcgR1(%{JuMFFtBkO6DfjDm?U{fmcNsV|Y+F6o!l%eKxP*AcsOOaW!S zjpOZT(5$~m=2e9EAXuRPZhOhq$~{q}((J80E1g>~=h-TOHqwZYibJV1pUuyeROoeB z%)Gmtfn@VcF*c+8C*=~Tu`M83t_l-Fg)83RCW&Lzd$am<6ypynCO)b0I+he3uOb_h zzrpn)YI7wMv=4FBvl5ux6d%iWxdYInNoSZzcaajI|Jw~4mx{2FHzNvKmWJhxFV0OJ zv-Jqtv70N21Fs2e#WQEr*JI%SG7L#-wOMn+XZ_U}CYW-%=dBykmKVVAmTb_yy}GKx z-zB4xv`~IfB7EnmhqoN`?U>uUrsVKc25_}PjFXsG1VL;Jj03%WeJRRNS}4{XN5be( z7dr2(^66B)9nhe-?9K_Nq;1p_wUzh3L!2+dv(ZPv>~X@HG`7G=^>>cL+u_u+aQ3kk zO#y%h)!}Y_lBgh3D|;)HFnPnyqW|(Upw($*;9QY8zC3r!Y>K>uioV4D^>i?DgcwDH4P^y9TuM02sU84b3en)AtaT&lZ2?T|Ey zNB1@>U-!r+Ei6g1xlgmHONtnw zBj9?BcB69?DZY7pWO;lBXcW0Rq7!|v@PKs9?lrl_ZoYpaVR&##H;&p%p;r~@q~tssaqhgD zXU$)s`Z`$qx9w5MSF080vOi{qxPCiLG$4MLKMKT%fq=u&8c+_!^YngQS z?3}T;Xhl-ps0SJ^c4biTLMdcs#(msyC}vww?j}@SwDx?JmDfP0Z)h-6|0o?S*3;ZJ zETmlp7*{UAe}2Bc0K0rvaxyRgpcQQ2cM%U_zlJF24C94Cdq7aM3w?VExML;q{81{7 zG~0^XPS8fmN%h?MyrB<#=Js>;qiZEsqGv2OmdqG#dS~(3Aq~M4j-{U)s2siFdYp#4 zt6WuoOQ|~ZkZoU4Vkv(Syt{6zF&^AMPsB(%{T}pasw)9UJx7+ryw;?FNL9%2Y6*m- zR41W51#$+%4VAMoi}bJNrAdTOYh}#M}_gvY=?EEWu7RO1j zRcC(ZSQGgOhk`v{k|87>0zVsNE3rY9KKv?+ILjgkRo=*50FOLc|7vu4epcE)6PipI zmS^(}Q}w25=2t<88AI4N$h6v=Q^3M6?DJlwDyU97ck(XS-HKXsb^4g;zk(0>r_834 zlyW9lg`C}SUDo2`!mM2142^}6c?gYuj1&gGRke-M!(B!;}XBRgL{BildK4 zgRbJJpM{2T>ALrw3 z4LRv3((UpyS0tS-Jh&UCI>LVQ2I$zdz^M}8J6BeoE z*wBmF%I@(;70jN9gPp9QlH*o7W~=Pf3VPJ`?K^z@0N0e_Il+hqPd4v9not`Cboty4 zV#`3TP5Q;-8OjN07Ju}~ZU%aKW!D)6^O+87dPT^MeO`Jtn$O-~d>0ij5Cjuqv z7Pts|+vifRWnA19=DwtMt2<`fGv)eMK3@#gjoT|FkzHApyq#Iru;r!OsUL624v= zdl?5mI|Eo6X3l>5hEFf1!GlBQet`oZ&e1^us=F*UPc4bkpnA@M~28&YaTrw0s13m;jKfT5|Kd7E{bf>`Hx z3Kk?EtbuYfksln!3>+sQnLdKHg3cBo*-BP=O~fJM@aZNjN1Aojh+)rK(fOUFZ*(U# zxShV?&3^H<&bXHeYoI$a0kNuz{akl^m3Q)`du_lcy*+y|EE8(U{Um37^=%aDD*u&! zG}pAvCR6Lti=tx(4#~SbvphGSWT6qQP-*sx4VqiS+(8MRzd=3^5LG17JP}m(?QDmt zcZJ1BjC@&DWkon-lbL>gH(kfnJtQ#0~+4#9=ug9^u59LH_9ohcT;`)qm!R0K^72JqTivzv|4{5^Y7pOulQ9UTvCM=JkHEm<_ z8<+F710&~FUU;|}8m3S!_uc(=^xE6KRzbgWxVvM&PQoC5?5kDypUr$A=KJMCVp@pX z8sxBv2DzOa`-<)^}|~x+qX*qu><528#hdL96VXx7DcxTXdG6+O`wbUwx94 z|tQS~t^ z3I6>eVhk`{7#LJIC5vr&f5`zq!tNErVK*Kjoc-{=q#q@bkfQU>VitaUz2jeDzIG}H zX7|!w`o3xUwV-KRqIO_ajgf7xz?I3VkTYU}sq&*J$-!Q0ojBryG0yhNYyySD=qdv5Y5P&x7pb-=GyvJ%mrlume? zoDh^a>EmeLU-SpI)N`rG99bSYBecEy_3z`DkOG0qG@&*<%`%p#J4v2TJDnLnw+bW@mlkOgyEnGFc$Y%kAPIVHx0)Y zP{*!GHCWQ&Q2wMJq_{BHv@{$`uVkfZR5n^pJ;wtPS=t-8lu5A*Dz@Eb^wIdC%Mz!} z6*F48N7t^6nMj!?a-Xs4Sl{_iP4sNSd=t>E*a3CXf+vYLnP-cjFljg^bnl$Ekn43` z3kB23Wy3cPV*EojC(i7C?R!vyPJ{v?=YdN&YJC@E6uglDD))=egOyWOWPspgh)P_y z&mZg;o&Go+gs{`Rn`^2*9`Yi$@?(9FkzE)H8F>|LaH1G3tMd9?c|(3v{hof|{=!d5 zmgN>O4eVdTf-JV|P6oi=?|Y}kTuL5ZvEEyHVj^yiUi@7%J}Ns}^_#9yY}Sc=e(7$h*7BX1R`;jTN5fKt1Ww$)RN%YyuA@^S=1d97 z^JT&iCxyHHhRvi>4UMyvt)BMP1i}@5qB*zcH@nrwh{fHh*x%eb?J6(kyWvoH2=~uH z!u(&!;_au`z_##6zPsxfTz}PSkr|JXrIg6Deq8xt*VOZP`t66D69P4z>Z5j^zgU8Q zu#(O{Y{((}pTa2I&zp)r@ZCp#H%G!?yak+`Ed#_!Z!AR#O33*n6*=lR;gd3G8H5Q^G~{Pjm>v898-@s27GE7@zxCVUNruk8$^Dql_^0fc*tzt z-*oDd&anT0PKbLkd$`vqvHw{yWQ}8p2IWgN1##I@!J1Zz|GL!Gr)tTr0*A-H|hVnXB5bfCSaQ7y0RU2q+)aie0n}&F| zXXyuINvibrn8df(xuN;pMar^0Q*x| z0Cj?>7Z_`A{Lb&vIly>X_Aoa*Ln6K#udprmv(*uqp zWv@1*-%k6(czyVtBMo>acM@Qy8u`|rmZQeiJ8Io2S0mOedLX1hsRXyjdwx*+#QvX6 zHSDKows1~gPp8ll=Etx_(5(QN5ag@M zP>sUx6t_}UjNQ6;VUL}j)|KsY;+cXsBAtMnx5d0BNOqSn%_gm*l5 z+GNDI!lq0M+2ZDBd0Z(99Gk5ysW|p&63u|!5{hMsW)Hq6Za0#GL?#m=FLoQrqZ|(T z|5ibWJ?SGgvrkRj-#9hOf)9Ov(>=AAk}bk!(t(G~Qj^_>ZyXQ2{;72&d!Wow#X!B< z>Cn%SGgY{g2 zHt@(Zz^CLJY%?@#**6h(UhCp@^=E;0?FJT|>Iw58sN-7fH&S>_MgGRhaeqNWTko=@ zm>XVwZj>D-#iL+zdDmCtGw0`Zso5e;_zXin#&1kR$dciT`9KzLkfd_961QN~J|QaJ zgUdx_AgHZXkL8qlD;+I|#anjMdpZO@Bm`d-E#qW4T{Y!1c&&9bomNBgqx!Q2&QW3Q z*bSF_e5U+(P(n>0Gqr*cX-HqpqN%rj%gpf)>A^jkezc@9l^Ffu%hg>;!C-*l@3HR< zyY-xA;>re)vfKn9*hlL;BV`Pj+@xA#!;oHJ`iJQCC1FeP`m4*E?3nbypX9YX=mnmttk82 zmIFF7@Ur%HzdH!3Epg;%D`qFu{j4L)nsEpCJ3Gsb}Hu19mU2%!JJ>Zzb0^)_v&hXyD|P@S#fa$XVO`m^wA<|8wxn z`c)Ff#rhcMVfBmBPu8Jy=KCb-!EJ)%-YPo$$W%^9o%hz4vi$C0Z9d@Vq$^sM9gSQu&Teezqb!NQhCv*IJ?@@ zJ>93nME!NlRu0b}jKE(KU`F#0gQ1IU+KqMhakZi@EvPd*?NNLu2SmWg9~dE#vc>7V z4Xs{_x__+5m4Az7+!Lx*h%Jc4xUxW7M58X*zPrJHvZLPMg)q{x-r1wa{CRYrR-M-9 zy*I{OTdx?u!lwdkF>8IhPB0q$(HInagW68#z)cF)Pu4#S6cSHF?pzSr}_^SwOx_517hhyPsHd_M2b zd7pD$uXE1ptYdwYI=exT3r;{2OqMCK4FszYEJIiR{VyXvwqVTV+KgV1EbpLP*0=W4 zsfIVxHr%uC4^(yCzWv&s_!{f~7z_bETfpJD`>{IzAi7)NrRq)e(36iTOs^iSJU^PB zxKoC;DwFG$(XO4+vP@nqZaf9FYVZY})ZN_c)A#lzM5ld9&cKOwn!hzl4u!%Tri zceYSrOfk}!uX&>6oOxmHSoTBQH74~|d9+SL}S+^U` zh{uZ&9K(&w9w>6 zbReNLkYLwepzS#a3T!KPBZZ@mq#s>jJLIBU(ec=hNoUz3BH`t*dc;jo;nC);$2@~= z_?W?VY_buXOtEMtZa~Vlophbr=+K7tR*jLltEq5Y$4w?dKJ8S5Lf-S3|Lhin=?u(( zIM@-%Hf*Y<+#t&dUY`t)@JEQhm_YT*!J;p5t1b=d60{fxmtWB)GOz|^{)mMM*X&>9Nptx%zHN1l5Lzf=uHeu~F%=pc7F=!%4u-U5qUR^W`L1Un16{D;zH?CV||S$X?Q z7d*sNbe0Fi4u@<#=UNarY>axkh%qDN0p)hDI*Dk&lSplna}8kC^};umA=N6Je~a5N zeTnh3?f$jH<*PoFev{*){?B^RqUem7{@S!qYPSLCiB&5YumKi z-uE`nbw$-3NPAS~THN)%Xs*_#(bX`#$@^u}x;s~jcE{u&UCrkBE2bsozBe@1O7=i3 z1dF{3*b&l`Nz(u6%D^c#FP#)7%gsS~>iSE22SsAXTuc zgllSkKEponY?|%b);}}^?{`3LM5?(p%wnU zIGYA=4Np>@qt{()n+?HEKqS%->SU>|RhI9(l5&w%-T+hRCHufB`ql@Vi;kJT@sW;X zCvYUeUATITm<(H$5CIsMOq|9P{B(__pguRSv7@|__U!A0 z>^lYzTST8fe~Jl#&0YB}q(qr@_^~B0aaMYttFn#gxU^Tctx7d+&K#?5o&?*LxWm>q z2IV1P>8w&DecV!0!s?!&DS^{napvMK-3m7@i( z*6YRm;vpTYdw;v}Eev3!5a55sz6)hsfp!C@lMH_J?d7UY8OVTB2;In0D;cK`q;mYJ z+FP%gDUOoZYJ#^XB6N5C+8yY7`$36Oxf%RR4WItusJ`pe-R z{OoRy>$eA)xJ=HF?Aj^lwHlyVM;ea81Ic|dw4H0l+uEyz6PC$n#EaE-o4FYc8jZ(NI;h-hRK|xXZNXQ&ZJR_=W`N3m9wt!oLe=RaJv`JVStv zD@Z z%4j3K@MmxR)@d1O1kX}^>R683QeF`itTr>7GMI7TVEPGU#_`u#Z3Ha;8Ur-fSZY8IJ!B)}*tA-^3OT8_)Fho*&MCYn1lbb9=l>Lvh6ATOcd` zQIeF!A~O{wf8_IcLC5(9uXPAZC_C55I<9BFoU9o8tFigC60-nF5fbb}I&47p1D!_V zU|L4#GG$kuDLKVdWIo+yt?ur559`0T{fzGboAqE{k8$V=^<(~Pp&tZb!51EG6)^@@ z+&QzGtv)vM@dj3xD+?Mg_pQHz&+ZIcV=p52qXAl_EPt$m z%e*Rh1%q5i@Sk)oc-!Fw#AgCx5MZ? zghQ@4=^vesp@tmo84Pp?O>XB9XArv2KLyNu+Jha^t-y__;s;|2lpnkR`i?SgEHd&q(Z}MmQc|bv8ZuBFz?wQZ3zc zdwBWIWAZ_U-tkxLF28rTT(9$}

!7r-jD|U&Lg0;4gj`QWJ+>Qr@=;PM8EB0FlA6 z*VJWxj3jHl$HDnGw7)1Gx6C&(_AB6_sH(v-heqWzHr>2>cH4?vOT#A)>BrWrkE>TO zA+oJFTELH3<6b+;P$cobsl=Pw->L5Ua-<(a$1Dn zO*VsGEOzb1lT);q!!LczE4@7S+!r5d70mqD#=Ou#Kwa#goRsK@Pq3x@5XLA^#MvlYyWBd)w7mOr!i^}7_Cg24CNAk3G>V()H1_x% zT{mkp6P&XTm%Yv{gc(yKzQgvC+q>g<%+*9yTT()T)eD#ozTOmI=mhXB57U8qhZ_{a z=p4MwlK_@OmozV)OjqkSy2^HO87X^n(Rydt_A?q)D>5b`tNfl#8N*wMC8X(8Ry4D- zUK{jP7l}8MLQe{});}p5QRPVnk5@h@=`Ynh^|j(M^WCLRG4{v~w*$`3vK1}O8-G*5 z0ieH>qjUkc`;UEgH3A*dH^1*fiR*MZSIU6ME^)k~rE@5o30B&NrBIqMQH0Ea_a>6B z1zViU3Zfsqzr9Iwr+^AiCOfOd2jxYsIBmA~fU{8+QWLv{MQrHYAn5l2;_C(Yvo@hL z!Y#eDW#gt0h5^1hR6UATu9x#~%yX-?>+p={e0%4y>fEbiA#yt{HywM$w^`u8f0*6E zyZ`4}yT1b+%SM!^Pz|l(8emcUP{B$8NF!E|YJXvCoM0=qh8S7qV-LixA&L&6$e!*e zhn-c9YHy^uL`R*7}lON%yD?lL-oeUY_VkH*ngOFh!Rdz0L@a`k%;BEb=WJAt$KtJnt^s{iLf;NbOJ>ngKs;{4RuQw_&U!a@}}=kb2fhtTYsQdOSY}$T>FM{piKsQ+!EMU>1~QoZaO%IKo3x)ka^=m`k+Ra)7VB<`ims-)FVRX*;=1FYn$xkvr~7 zM}2Xa^08W;Ms45b;dd_OmI-=G`{g(J)FJ|RJN7hW!Qvi=$}$4ynaSaLhA(h>A9^g1 zc^{HE-L(fF9vkyIe>ncBZjAS#X;lAWBcU44_2D<^rDrN~Tv7Wwr`K?GM@HQ`KDmvI z1b&;dJd-$3VptOBmE>Wmk`RB?`nSdWe@CcTtGK0I^o_$@dR+&Wvb?G4oW$OU*t3wk)T{+s2ut$@mBmh9}6;A@zmg?fc^cnn4Ptf}jCb_(M(-HHnxtCn> z^$pmQeS7VSzy1bySnQCnpd{kw3lsh^buEcigJxLaocj>c8;pgM2o@1oy%cH;npx7P z=~JH6d8|h*NmqI3DW_+Tn$w%@Dz<4cH6gU6_>6pDcz-z1ACiK9Wq7L?Gun;Sq#43^ zC$tR_D=@+;6|tKrtCd->2Eu9rtl8iDv2*4eqRr&t`G>NZm36*mJGWtlG%-t)Wr44ktWh<^dv)D%`1!BgiGscXOvoMK3GtNeSYAG1@4H*3RnI4f` zXuWY_$B>(mp6rFEFVA0D5&I?aq-@w0b6r2n!6RXYRp7E8Po`iR@_n3pPnDLGLOl=L0|NYYTBUYx9o980Sug$T ziuj{Kviccd`X0}d(iPl#$7mHOxq&qA9_=L?ObO(%MXasmTPelxXT}#gwl{Ur&H}9()Ogub>X_BI{|%ccJk+|NQbTuoZFe0T%?;j0KUf z)@Nyn2jS1h{~NMjK!}ld@stYz5=-G7V9(4qYp*kV=nm}{{k<%wtj)i)@{YyhWs$ps zW1qFE3nk1MJR~{rAAu}o-zC^D^|^wV6bbTbD52^6)NA>6`4+mQomF{d;n&(PQEx{L zZz#5o43c%y0xk*7(SL@(84I6Rzb&-kt&>x`x=8zWD-tcBXu^A+qolXq2UCd*ZRGJR z3tX_G|(Yl?kPK@Bej`8nN#z33SbzC4QLG5NMbF!h|{8^o*y`^>92h8S9&;P!gQJ`_04YK^Djn`ERyIoyzf_%;e+h* zcR~~x1XrK#VrPtrN0d@xzHN-bT8tsqV=cq2_MfTC8mddHd!y4VHO1)}(zDb-OPKfP zPO5&Al>xLMtwylwD=Y@jh^10kN42lP%ZShFtXk6dutV60CcGll%G}U{_UU`u*JEFu zB8twRO+Sc~d4AAS)+xi(Y7c6fv?LG-|HIAh`d@4R1a7M#10GG@gLQ!HxdDO(e5nl( zf248p{}{x#wVQu+z<3iUT2Yxw;BM))?F~ zq9RTdaL$KW#4sM>N0@iWK!X@x>U7q9OZj!*3dFF^ti}1ZMDNpa&o|E(I5OW&mvE0@ z%~=-$eHsx(#A*6iURM9-n(F$Q!q1Fo9XWdo0o#E8?L7Mu?BiGCI3eQ89#c-GuO_W9;(s5x!UXV7YW z9?rN6#(s$nD4<0PxErxR*nw^%cP$fbXV9bWp0AfOdh4xA0{W~wsxE%oCGPfXh36Ew zKYzzkf^z}sPbYJg@)x@m7~I@CQ^Ua1Jedax&%~i^^kXzw2M%f2w2%hLqeBg& zMm;<;rghL*YZJb#otan|;EQg~<+Sgsds!L16EO`G;a2W-d zLm{nQ`c-akw%XV%Se!m_ z2hSM~mjMKmyRx`_wZ=euJN9bD(M!_;J4~PQV$Zd0k+`-rz_?iQ*GMVLzDZ$}6Q#Zj zp{+eRN&Ne8Acs^$xN*r!-no@bX-Cy!GO_k`-O~jh8P~$%4TB5^wr=>^sqAH%d1GGcw8(495`yyrTLX1_gC83P zGyqK!2?>Liknw;SX%@x~0+(e&W=d-WR+g<~m1lKJZFCDq<3h5Bu%&Vms$X@h@XfX= z`q@zas()+&8Gqq5k^ileEXLy__F#3OMpkU2U^R*@*;+xDs@=CPG>9>|rMUkwRkOdF zX{&U1wMsL`aJj<$Wj4=8!>Z{^3W^g=V;6TG$th=4sbo=I)bgQp2V|n(9;DsceJ`Up z`qBr_1)q$`@R|4sujF9mG|=~58B9xiL5i)*35LSmoJ3k*P6 z3AY_gC`Eih9xf%QX`@etysf~~x7>rp2;w&h`{G2*~q-E3RwoZ9` zy*(%m4GK0vyNAelCVO(`jk!3Cl_{dG-k%=pw9})v(;JSBS#Bcyj4A7 zbWBqtJ>oQW@3bTV^u8cdUz$f-V9$yo|D{v|iHMbbfE&QC!}Wl-p63|wiF&Z|-?=^< zgC@Qy6*PDP9HG&OsyX+z{$^ZZW literal 0 HcmV?d00001 diff --git a/assets/table_transformer_output.jpg b/assets/table_transformer_output.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e34380daa78533c2fb2b5e96f9cc4f82b8b7d915 GIT binary patch literal 212396 zcmdqJ2|Uzq+c!LAO-l9AtjkMBuSDzrbrASNk+!}O4+wi6lF?ei^(qA*q0>P zGh)mr3X>Vj_%Yl2>$;!!x&GJn?|$z8eZSXpf9}saeT;R^&ht2r^EkfW?{S>N{mh+& zZ98LPW&+!=0S4Ou{eyAGU?*W4H~f11dfxc!!OQdOnU9y3hnJs^pZ{+k0-FT+1vUxr z^9ybk+$8kt0evOBSxETTH@^n?x0i0@Th zPM$J0F+FW|#`>a-t)0DtquW*YYaX5`uYg;Dw}a5ZckVw3kBE$lj!8~=^f)!`$MOto1XdpW0tJ%J^&SgpHaFWadxv=ozA};I$6;7jD{`$`qljpdw%|%XJ*i+&(XP}V_LrijEor{Fw zH<26w_*%+^eYLE}!^Z$*3XXQZcimWJgd^<;O;)EIXlX-CzQirZnB!Sm6@DBK&%Y0V z_>W&-@ey6c5t?B-fC4tL$LYN+@d1-Qzuai|ux?wh5b)86`e5U5!BQmbxVt;Auvqr( z?4?T$M|x?%*Hd6^Br2!ZS-t%6U@G3da^dA_k0jlaWoXS2lHtNmXV-9H&2zR~*!1nh z->e-$H56Imh_GV0Fvn8(8k-AC?&iXhjE1us_Hbd5F+kHv#1DxyB{2;WHYwbdUzX(X1!0%L}r8Y>cQxQh$pZHu)TC=LqE2q(F*8>Eb$F_|ppoLNpB^qf=hf1AbjYocK`G}(UmhjB z5RL-m27JO?SoQ^HfE-u|EFCesR=r764MZ%e?r>@ulALm3;v<}LJs5Y6!k;oK{tLbr z^Jl;LSNPt)VhqJWE^IOfUNs#3`ir+gFH5YCszKcuT>SHA!%nY~HsRAbPscM_UhKWQ zN%rb(S>DFRLwJ5cSTI)h^2_+^#i5P6abSbb5+s>*-Cmj9Q|vBW3DWIh*GiH}*)G&P}B zvBYhAFVywTECza8ASf<5x|J7xx{n^njf{>jP1x7C)(Z!-*}+q{|-5dT-bjcT>n1@=Pww3_8WpPK-}Eo zm=`E zu0KC?mJ8e6;VLO4>8F4DaW>v()!gmJtU4uw0PYc>_HtpHwBC^kzr06Zw|5)Rj3~bJ zLw}W{0A}QmkA=P#AkG#y$gl6?SZSZ3_ zKj6Yd19j7v-kki@>Z?`v zSEYBD_379+reh44`y1n#{w`bM7?}cVzou*a-xA8bR__reU*M_`aSdvofRG*nRKrEq z?au=vsff`4G@eqN>n_}IN>lfVT1$9_&1P2N64_a~g{bSRceI|rj}-rE zv)4qZveZl6O#Pj1@{p5lzsq%|VhkMzo&$aX6mJqgg2tL9vAXR<=rfE`Hnfi(q%Eih zWxCpY0ByjIGcvNP|GI|ZQF@tm^}E#Ri%Cf~axG@HMh@pUXgEBA1$5XrmVX}z$S5_% z$F`Aahl1_!TK1;4q?5lK`mf@vuYZR}^#2BY^`8m>;hO&z>>zL$t5wJ61|`a&vJB_a zyA~l?Ep+V*-nHnc6Y^vQg^8F`NsGte2J10He})463EpYlDAHF5KScQlZ5^^`uDN}? z&uq5J$+zaO1B!va+ljDJ2w@={X-$K$CQkMG>$XOe(-6H-z83jc4?y;lh9Z^~7v@8X zT<2|2r;}LX24koCCzE&23|0Wq29GQ1{4@$By!y?^lP~HLqF&&hKEHVN;a=qbU-RU@ z0(1Okj3GG@a1V*vTQFzGksJ6GY%k3k*ga%0&5)tuDyc5=4y`}N$ zwUnM4n+kgYHO{GSDAsDKxs3FMlnxQsL+VqoQOxB3xna=r&j+dRzZX+`?;YR>;h0_| zuyn4`7D2OcI$SZfn|Gu}10lAeT3Z$MVAq5wnfg8346eLk37_|ii5;w4UHo5EtUSkA zy;eQni>aw^H20TDRPO(~#w1|Q_9R3+35yQEq8f4VuQHc%;D4om`2VoizXvvQVb@7x zxT*FE3Vh2CT#5AEx}$lZ+dPh#s-O;b(w z@d36xj&cXo@Ri=*qG2L?=~Ix|+H1<{{D5VT0^SAAg&kJm!fK$;?_ySkXk6G@mp1zo z7smczr-k4+0||)yul@q8W?*C;$p0x}WgLV%0X@Sc*Tx~lq#H^7RHW2cO#~fkj5$T&-ErSGTI`Pk0Vbm4PA5)99)WQn^U1kpOPAs;$O7 z@`098#A=6hO++fuxw~8Bx!8#k=lZSynfOsz$=#}PmHI-kRxa!rM9;@XxUes6aN0SM zH60Ot=xb9h?415Z;G-Gv6Po)^*F;cFfb}%;KJZhC3(J)&pxwYN>Ou*Cux_KYH2;co z22w%-fOQv%RiWJlF3N)oyl>J@({X#m) z{x0kFeHO{5B``;+nJEj2*A?hIj|{JEoj_H)g;A7XoCvNRr? zjw;Q+fOU|nKXF%Rch=uN3=xy2tW2N-&wNZ+9#;toM+1$CYld7{B63w7_)&9aRcNvs z82`pGz^&gj?Y+^zcEx88@1)0wCoC&wH%}z{HH2cvu)BcIiG{$A9ThE* zO%5TxelUd84}UoO(72sH(*lwbDp@BWAAv(!O#fkT$f994fUYNKeGUb&?q7pfL@pjp zWZy~SJQklSfc_dV=QMc%KZvH)R>r|w@KiU5gjYf4E)m9UuCV_}2CrkT8rm`Du9bNs zD^0IGd@}T*OX>Z9&zBebDj$X2P#-aBU73aKV`Rs^hxq!H;E7`@KPGvz>x<{q9pBQDRi@kDw*8p7_|8Vdk>b$kxm(t*9_Yt8iEfg7X@{GZd+!9o zB+0+bz#1YkwPd+4&L{j0ya+oAQmBf#u+bYMTo@z#hAV=U2aJ)DmPQj}8l*+vf`r4*p{3Bc{aP<#rtPcv*rU&f9J(cKj+yK1gNb<$ z+{&n}W$z`fL&qTG@N|`#YI#zN?$(Q95AeMCot={u$Zs_4A~|EYrPGA@YEL-RrM|fi z!GJhUx-l2#-f|2gL@P~Cxv=WqZ)>k+stY-%^axZETWc4c#IZz7YO{L~>%IxUUNl93 z+_w?QOb3?7!`5i5|%jl84WC(_V`t;ws?t zZBuw&w4~bGL>Kz0)f(fkE(%WXvceAgU8$-^4eOewVIsU2K5cM;|DUIS;~MfO9r7Fm`>^;-bq2?{oC}-dKxg3sN`dSGXZiv?5N$6d zzW}Ir{?Ver?+@v|3=fI+JWHVHdo-%UI(42IxZoQVTb6 zVc#?m;)HoqDCYDzT7+65)mds>*rT^BNZ~3`AaP;FD7_WqU>O8$4j3Wg)~$_>+((R; z5Ezn>rwzodb(4cwl5mD4h@+=aW}2<0qRO{px6E4Eqcd7vR8*UrUNaA6l3ND~vTwA? zi1*yKQj*&9NN8aIjo=8WGX>G>OV%YcfEqyKu$Phixv_x}k*&jIjavuRtIj{|=1bsd z(5a7-yK3@%*0K#QfIWcO1zIxCLy^I>L5k%7hG%`3oz5+2DsuQCJ3f0{>l5w zgW$Mdb?`N0wS3>EEsFfpSaFOeJHzM~TrQdr0$V8B_grMa+$>MRW?c*IRu{R8V#K0W zV))x9B)w{s*lw+>PWhj<%)CF`bR-fwee3#J*dan$M}jV1qWC_&?DT*K?RADcDO%3K z@2y3a)48}$E|*TCOUiE?vc39v&~&E>v6bhNb`zX9HYw5!oknkRZj8|(py^nh{8S62 z@X4};2qkoWSoV^O-e7#UQ)20H-)2=ewXRC}_Zxqz$#|{tOxjT`XsT13&3<@{FuewM>&}FMDKtkU zsE=gG_p$7z2*PzxUM)|1KpFDU+j8d18*`Cpt%)D*rhboHI!U1|}CDk|5sPz#ZIYJTFQfYGIxHy4gSx=~b-u=S{H z13!qM!^t0CLOg#v<{|_JA~6B4ECYj?`_TR#Wo3g|D7AO7w)GFg3Pw?4n_OKD3Qp&~ zlw9qBVa6aZa03DZo9UM9xL?VCF!5}0EN4>_7p8h;lEj3(>__|TI})fK$$El}0p{Ik zRh;ZQ?zfQtlwfVXnsZE{xQo94<%KLvAaYIn2k=?bl6~YfqjoIV_sw)g7{kdUS@qPr zyL-^l+qb?PdXzNi%X{^vAcb%cxY8Ssq(Oc~#96Wnd~pnF=#h({5`C(N$k5-U*3ES8dV)sLjO3lphIQS}Wyv@(gPu$FKsZ&(RSmxR_ zLl{gsrEwzx67(k%kbDR?{;87pLRTE#m**LBeV{UdO^}VEPUYSWB_2_m{D^a(DJ*|Fs)Kjy zqYV@|?HHUG!boCQA|{_r>|hrXyb!SgXk6>W-k}QnOu=PyIXQE|`IXJFr|d5b3w}y=|q{x-Sn*k%Fkaty8A-Ud!q8c}Q zJ9YKKnC9#&SeHb*RPw&Y{qcQKe3f@aPT@sBD8H)V=yRNJer$a+7bsZMl%Pa4HNt*R zTK7$^-j7?@4$ui~{qt+{a~u-~KQ@rYdF3kNlc}FB5Oa7!_3AG7xQ(5sXZ1H8INGEz zv^LI^W!bXdAy5lMD65x(n~JdGHJrp;mKeP_BL}TGjo<-qUqt&-RjW0zubUi0!_SNC zne5z>l9IHpWJq&tT-Dc6_HPf*PBz(KbF51_^X}Fau#l-fi=&w(#*=9031bw*SOCSZ z*{NRK28_%$&AJ4>Y9Agx!5Fl+kn9~*5pVCmr^xFjE+*$WYZB7?(x{Z3hM0VTEKj4} zgLIv6Fqe7WOZHpjgF1k=jBe<#q(|P@{rWHW78I?zDr*!RdXwWeO8lRXXp0DHt4 zT|Cg1n(DHn@8|1MPS-%u&zH&lPPKa+WKAC5U(0lz-15?UtWKXc!-%0RP{sYo+X;S0 z1KMO2(I=+;#L<38+Ryt^xw-W%Yj?0YKAM>sLR1kSbi`q+p{S2rn?+`NSrQ|RXY51( zg#dR0Eb-h9E=(3`);vK>{6Ya?6aS?R{6<_HJ$R}Q77~wRiS;`iPdLqW8Vv0AX+jE*>ADh z=m0W4cAnr#5=U2=RMICZ_>!b=LV z4dX`7VBDwGCHj;76j-K}H8kI%ZwERGQH*r{l*=P;f5Pgt1HEsTbQ+nt#jBj?Qrr() zEm%X65v-g@N)S7W!G*1>o8b%8zX6b{zL*M+CNY$tME1Q%wJvT1eB!shPFQ{lmv191 z97eLkPeSF^A)^dBJlgQcBz5Cz8&+#%zPw2LTxH1flNSbylQ)OhpO*?&PU^g93`_oS z40d%S+7n5;2=PQjG|P?*@S=klL!f_10eaX?I^4$xV+BDxRM&Lf-lTm#Ihm*2_c;7BtZ3K$2vKtG)8^M@MsYRNta(8HI$pAD*n`_X845G zS!=wVShM1+e=+8ti`F`AV}3Phv{D>*i7C#|rub0-<^h)6$O1-(eq_oh_SN_gE23F3 z`}IxNzE?FjQ%jNWUvykf+2OGcrAu3&b z&LAPB5KNd*FLXXCBk`qclg|$sl#-1rKjTJW^)tI^Q%PKMix-$cI_*GPv5dB}$^%>3V z$3~mM7E3Uc?gpJ^kI0H~JBtjff#rCo)`PS!Jsx7IA@}4ClDF~5bqbjYZBiCuL3Ac8 zk~0A3(L;z~Cy=E<;pIMRAAG;ZqBdCc zsdPZ+wW^CP7OyaY;1;?PV-y<6e(sKGo29T96Dx-9+0s1w_O$JfI{lm`*<>emB}-xY z?%As`#_$7gVelX%bZ#txNt`UQWxLS_4u~CL(0Ps1&enkxn&-g$GqcTH`IJct9K_qJ(zaGIGRV;cgvYkXo2>TrNYEEv`6Z z6IPlf%qLvXbo=X`PPpp`zY}Lcn?4A!on)hs2;i%eHHSa}R#fxsAnoCQi#os9C+DU) z7j_E)sW%dC5V0Bor`9940Uy-ZK<@e<$rtiD)W~78j6!&kgt8uruoQ{F#AN~211)Ac zdmH}a0;n#{dX5Yy%-aq?BEnRli-|wW0I|ZraULZmOd(dU!`b0ipx;msr@WOY0`cXD zh|G<{93?Q*HqnB{NeamK+8Uc`zcV`L;k_?ZYsZyoQia<5Tp;s2=0G(F;bZwa?@4C^ z*7g+?OO*XYjc_-qX2N7p!}o4{NrYg5gTv$K3&wY5KI6nWV-0+Cfq79MrXJ9Aexc}r zY-EdEUY$1cl!Y(4j z<(xNn-q|ETeki6>qx{DJ`>F1nxtc%&C1jY;2Hb5B1{at|y}7V5k9McRUQti%9@?9A zktkoht>90;m+3shDR5Qgn8OL?5ea%W7)hH(o&Yl8uAvSMN1nJxt7@_}88e{`$9m_W z4t||^Ur`l)CHfFgmSSS_UBlczYzgp>Vv^M#1xyHC!WXY8K>V;e@s}Ri)C_b&wujWa z9~TpQOB2`jlGr`aH)!iG>PsF|Bh;tNW1LR}nmIm>P=#p0McZY{^kXbS0J6wE7pZ~e zIa_JEc>!?Q(Pg|Ysjk;QI9SO*@VVIbvvM|1j&!YCAP*2&Vq=rbz$R!J@U!5{sUzBg zXp#2e%)K=J``&?`Z@;I97ZG-aei_wB_L|nz+ zR}f+2RKYYdRiULxL9+jrrjfj*UD)V@ZLO)d*X;b`r}q`Ir#ofzh$#3r)&|Pvc$b0W z^pA<5+L1qnWtVO5JiAbtvD>-*$lW(*HKd;zZ9R;?4-r7%vm6B(#R{drZXxH+j|5SA z^jqO2MXUGfbSOvICymAD6jU>3E{H|txn{e3-lMZn%5sHmy# zUbrJh3*5$$sT=`3fCxwXh$YAV7ZoFV@dB;V#MGRukDA3-uP|cO?_Kq{x@doP_Ui5f z#}LQM@zJC$6$`@7XwpeA{N=>=N|WOug+#AUUEaQKGB*|rB`jVQpYFJ`xG=iPm;eLm zg{EK*r3kxpk~R@e>!zHVkj!Yc2D41udBT6#JVLVK7%AK z!l)agkRC);D#VV$H(^C)t-hC`Q^-*LF{(lI%bdY2eU1jFwR-4kU2QMX;z@P9_N`uJ zbA#ZbSFjHSJKZ{n*dAo1bVP$X!%+ql*o?pY^XvWAZ|b%ylmmf=%Wo}E^H&> z>k{WE@TG_gd;LTGi+T%(7wDQ{-GL;1CkV6j+g02B`@!!ct{hL5p^MEi8bA*wKW5wT z*7!GI?TJB_^OT>IDN3@H2#?fV+j%z@J#8CHm9`7o=kz97Dce6f!)@Q$P-zz=l*$}w zqy(%1r16*MMq+%5&`#~?mJb#%`vT)7HLo&lQv&_{Zqm%;2gP??O(z~!y7404L*V8+ z#|5JYYig6o4nUC8`wN5mK!A9mqc=+5aUqh$Q`j;Y%FkIp;)(yc%!O_Fu@LN!5=3gL zJ+9Eaus(W2Jfty$bJ?D07XcyRm#Z%7;2esnhX$H5`35m=8ltmh#2-khoz;~or;-^* zZq-zz&A%+x!Vt}lZo>=+34K%OeH$u0m~Xi z))twQT}fqz^xUQ{;DP?1L~*r@Tb;d{ANmiSRdAbeI%@o?LbiVA%SF! zzM0b+3hmYDZ^iI`)=X*>iGCc5DvC5aYQ2h+)O`uT62H$m+tNf>h4|^O@`@PLp*RoB z4HA~~aPoE>^K~R+vo)mB_8)B~7--bF<1b;5?03NAt001$A4`P{!0dDHv5to1*pGJI z$|uL~b?WXA2@>vf;|vV?iMn3o`}!bKV_(I(Hqr>9CcNVyBq~UL)ks6@ z;#tSx+BeSQ&4F@b%<*d$E~p&;Z3$<;bj803cT^Ey7rK7exG{78+as6WVtueQDfaX^;Hny zAChMgTHuu)t8~fb%llE3^6r8T#`tCQzX@!p!0YyVxU!zFo`blnx$JHe4Z_(`|_%(bOhvoJdkB2ezp2#lk-X2)n8pEC!O26-vz4tfoe1NIchB1PaHj# zCD=FR9MEcjhzQi)Vy4kQYU~q~Me0JSj3-qkjJn149JGqe+?i6^r5JnQ)H6bOjP;`{09_nqWgEj7P20n3$hcqenFXL`qJP(84m89S*XITB(P?<}BGg2(v%Wem> zd*Dagkc+#Z)a47|GJg?>>MjOD@-^@iQtJk81^)b19g~O7?h*&mdA>kk?)CS%FT0z# zusT;nJ5=4=*9Clae+rC%T-fZv9Uzjk`CdQ~#RifE@%%aILtpxn?N@FBj$oh=M_9KxcN9dp;W9 z#wuUz0?!zJ3ut{3zaLUtNWm~@uZ&rBDI634U4@QSJ zVhM_S)0i!*cCtNjLH>@G{viPco3LF+KFDX1Ois0kO}MuM@UC?tq6w$YdVl zMAs(!#%5!z>*$FwhF5zP+Yk)ZoHs7W&WHT>Vh%K+(3LnP$XL_u^Yu0elJVIw<}B|^7stio;|!peJzgSk_Ft#VY~p#_#5-r|*u zy-Q9}&oioyX`p|oN=vVHO6i24tId|hrYQoH5}L=5u~opv1|?MH76R=!m_#>kC5SGw zUEix;jkW6I&r!(9c094`QRiF0eavC3=5!vc`eDJ_+r9kmoCP=?^3{PPqmXFAS0_sj zflOFYOv=u-!9GVVGk^R(&AG|iZ(2m%y_uK-gC@Q~~cQ7*RM{1YR zs}RY`W$`cA^@;5^y{Y&^$;ako;yKUpN5BE*LGZ|wb{tEFe$LtL{3jNYw$AxE(~MQ_ z$E2o@`WE%nkC$clb?vBJ>L@pm{OA_nm(+I&YWKK-lq7g+%X7L(Wd{@Ks+vbyk=yio zLOL83?&U&!#CLw#+4$Q~pp(x*T`nvdi~A;`nJezIf1{h7=1!i(z(Ll@7oJrIQytsi zd7$)I6Bcp$`g`Oqb;Zrc?dKblkFdb3F|9CS;0z^k2WCr3OXcc>VIMTfy$h|GDk;|W zC1sCuo%gPjES66BH{;wRrm3oKvWAUgr%s#+lBEEs-q9e&LvWON&VsJpe15h@CEM}! zJ@QzO*3TvLL6$y+uxV_(2?#v;#acOt=uYVl$ZO5&KRF}keNqbqqj=^W|JD@%Ldamx z6%eBIu15)+n11ism_JK}c@Z)4)1QCKjbiZxPa*i6MYfjaM&Akv@Dd)* zuIgM2tsLyw(vhP6rm6Y5a7!<61pxOzS|Q*C^^c?+W0zqXPhzxRx;)$>wb?v^ zfLhr@z3$_~8DjXm+^Iy%g!z#7Nv$%?fQ96c45Ckr?X`T`d~3As@A_9p#Za?kn|i zn1i<6l)LyDQ_$wnU~}#I#tq9Wl3#D*Ds!8t)@@Y^@}K50$MftR(Mz0dwY}n>J$tk= z`0KVSjT+uva84E#KWp9T00d44<5cc^gJGbeH{bQ>*X;Y43sDzEDR5!^4`dU8sPg{c zqu^wq+P$7z|J>YT^AXa#E+M`)vmp5F1`j8!C=IA*L6QBhcBZ(9GH+rBepM#afk+%b zXZ!d`=|t=SaFNuE6@Qn`_w-ivhXdot*$CA&cc$j!y2ZWv@0Ye)MGSlWU^&yP$b?3! zQwyY^e6>?hrQ5|;SV)D`>$ecy>N!P6<7*Wy0mD**H~ZDQW!Fl(WXqE^{J%w=S?Mh~ zdLjng%-O`pv~5RtED$$S{Mvit6!s05J8x!`(~*&edk}Fsg!&=Z5@{*h8sD@X;`#5E zg1UC>@hSVTbXC17L@(s^OUPPB+3Dp+)hV%Hh9w=FR*aGBa~*Ej2^y`oh{Zd$oK8NN zq_=zWLi5it*IJpKsDsxpH`%-1HHyxvOEY1YVa373M#Lr~6)?zrWMLT}pLVbWE#-7{ z-|2zP88U%_SD&7o7VLQ@e$JuVI4*+t*}9vh2Cn2m&R&HvX7Ydw4mE>u9KP5NV9QGE z8qq2G)~nmYcEnqY?=*E&tBg)&zcH_q?o&@iyO_a@!v5>kxf@wAi@32^Mj>rv-jt~Z zjxn<6=i;Fj{cznRm4qbWm+%XO^ovzxWwwU}uhparR$Znp>D-TlIxf@-tz1s}(6@Fo zEWlma=tM>q_&lHx#36@#H2qxO6H#LqNAL%;Q0vZ*LPlM`~ac zr9A1?etgasc@_%PTXf;jy}ZUP0aF5z4SZil!Q9hy>G{Ncq>CRJHPm(Wbh10oep8krDR4G!YD z|8ws+hE88)+#f=?15hd3g+K{mGH4JmlR7zBZ)!Q{ap2&6${wn6#@S2-r}r^a^QA-! zp%nOYmGbb|?5#6Pf|^()qpcb>IBunJDEE@~5BQ zXhn~ow`afIUvmHaJM`sX|HWTG&+h1HTce>R=(x9MJax!d>PWy5=wsqbez*U!X2XH4l}W&5@2gY>n8d-4q7 z(m1l&&%=fx=@|bGVQ&emf~-8Df_*S~nB%@NGW0>pz{8t;;eU~ENQ>CZ2$BMJ;ld5*YW*d6_W-{=*4Er;LGfXJ&KI;5P=}+D6 zS`~dcOy!iZP*m*Q7dK!$FYqadEAS|UOrYgh8RIReP1l)nAxvqiH!AF;h2q1Z zmc=Zzyq)-1D4)IURPF1hUAuU;N&CC%T(WEiVo8#O>ms9W5Y40h;%2cf%AW!WBH%!~ zfnW30{uQ&!CHy~zk~ijqA2X}7?riy@dliHIo59Rpij z7PTr+6Y^>nm6fT}i=0y@e!g`&hSzA@ChZe*J5S>?EWLy*A_+=U2w}^3IH+U)c0^b6 z+Q-dor3)4AshgiTpKRN!e?oBQePY9A@HoBOft`c!N(_fr0*OW%`YnI}<`g?#Qx7hJ zd{gPKl3Ak1va6}DvqmbvechR18FV5i+v$|6}vkEmTc2?%H0Z0p(wK$I#`D1&jHp@_Y62TTkLMVYQg9+rq z-g~W;G2+?pFg9d7F?D20ZGMD??3mc~4uGk~2W3N8I{zQK)e{hbm$@9bIk4bQ0Gd)O_v^I3_;vWaW1_4d>gs-zK=t#R(;{Mi48_7|q zWkO7)F9i*yanXTx0_$3xHY1mv&rxN$(QR_uNbw{=mMQu9$ulLDWmSFOK)+(tYCvn1 z2E8*?-%2k3QJ0SPQ(1|%?N=pk8h+{33Aev+=CQHY!#mC9sOxo1t=td(mXhb&&Nt_T zx0J4y_#7}j^F0jiiYj#$1r0m*c&x9E5-?ALX(KTWM( zn;HWwP2)M6)7IdY9O&-a_sx<}x9kd{lP#S^FhG#!2vwGB8U1)@o8=85g`wT^w_`J1 zajdmMC{};t9RG)5)^Y!S3B<0AM5Fl;2^?vFrL7IRlOS6+TR{Dsc!o4f2}jFeSut>L zLvyKcZ>GRw20^=rO(Ob#_4xXcvl~={@;*PikR!m_KVT${(PgJ$tSLvu&6gV5-uxi& zv8)PD`cGRZ_g4OFSFK9(?(Dn`f0S>#_PDU4<=Xj#E4}kGT$r{|OG7cvQr(+4_m1x1 zA$~r$)wit04p=bQt8;TTH!{R={U($2{);u3w0_?hdkbh80eo@m2mBzfrx>6|xUjh2 zxuZ)5qYbgPWCzW#o0V9>g&0VE^{`wzMa4&e%@^>HOapUyRuN=A2(b?-+izTW`JqamVkp*}`F?vEus7 z$k>Pez6ufi{^+yj^^OZ?BxP3%2Ok%w&N7n6&2(4(GpGGFa2*2BI6Z)NiO|U)j2P;( zH@FgLnYnB5tYy2I--MapZsZ>ZLHw)7@Z$^si#~*HP|NHPVL8DO%4`2rJN$}(WT&RH z!1Z1QP|1O&AA`6G-;PSZR*`eb-pkPxt1TRcTSd7dEyUS06q&rmqhh zwrhe48TwQt4M9$LN~?uxZ?zPh==XHwbB3me1*lDlca%#!fKm;uy1ieouGYomO=i@MZVR>R|Uy-)JnF2ZH4TSM(c-6Nj`hdx-V$hRP+j(oE% zOYJJJ!R6`xRg>!d_~XW`1OF6={{_*!iqnW&yooHgWG8Nh7;yS?s1x}yLJ;ADCz?+# z#IsOSxJXi2M^pvXvb`pcKv&JULVML}@T}%6=lWu>wbN+3dx_7$`v&Jukta{@w1W$f zT>Yoe>D}{Q=g@^l6RpRlZz><858n*oU_H8NeiEOWXskVkT8g&M?a-f|rB+;9Ju_lg z<}8bvP3*g)zVy4uoe17pph8NGiNzGaGPRV2;&b{kp%P-zz3Bu{3;8wFbbSV@Ful;Q zP^0>?VfUr z`LH`@Q~MW^#HBmI&mJui9jZhxlZ7Nviv@|Rk8&&!f!Du2CM8kf|0KBg9F=1**)KR- z(4>x3#74kFWIOuRiIF;>z*{{8-h`C!5^GXky!Z8-=4Jk2_fv5d<+Ca6$QheXNho>! z30F8=4mf1hVzTwIsrT$l)v6Gk#9fqv?HUCV3euu#(kjqiWwB?cI!SqpqD6pb;P zB|`5FK!yKV)m{swkp31UC=1aOqTnk$r@LWK$uMgd)RYFAE~7Y`!7QSWHTA|Doi*E( zQ(D@X^7B;24a|!mvv9>4{BOK=-@BqiBgO2;7FTginnyb|Z}t6HbyyKDjJ>g3@_Efr zRb^?&@{FV$vig;rnUiVG{K_}feBZkEUr)!*xIcinqxgS)@c4d>@WRtby-$m!Lx~p~ zxG)g7IjD*-us}`q)VgxRW-3{q&)Hr~=;3hz{yI2CJFHF)>cPxqXJSNYtIdwr?q~hz zL%-HUobG$0R8di3Ilp|wEk@;{ahIA9tV?eR`RCK60Atq~sk6-4xkhmG5+ouDOaa37 zpdHg`{)Qt)oPJiiii9flBz2ah63t`B<4UBNhJN4F(^9-1wq!^?Jt-<^eQ_FZaHm?A z5G_AuSVxM^yC&gDo{GQ=?EM_-VR9p;QZZ%N!okOVd^8YYJO@cTKD}$%NX8{y5jNf& zIw^c0L`TFJs7d5;c<*RsxGUzv_4a}1<05BRZM0Qt1=PVF#0Vb&Jd2bV zXu2dRwt~7xL(fvk7)nSwz$_9FF|bN&){_=BlX&i z9HIRFyoC$D0F@>V7x-xnD@jS;?zlahRvjJSs@^^R@~~67&*&&hg^{&lX#%HN_J$#) z5!Wn&zf^$jKoQ?)I)vzY3a+MkBc;}Yx})SaNE(Vob=o< zZNFx%d9u*EwL-E;GlA%I3gQdyVKqYY%}I`0eq}vRsYy zp`6YE-p>2hsfX}WnTRr-_Hlhb=T|?FzlkKjbBTV==Ugt#2%?{p?|`J0KW=CgXI~rh z2zr6Bft_z;0F|=eE<|B>oGifhD5#eWv#v}LcrT#=yP>Pjs^79o%|j}rbxw*!%jDcB z;rDFS)VjKV(sN>49lIXks{J`&(zKZrIiYUeyAg~f_r|dtDDvJ-tLr|Q_pfB3N_uoU zf&zs7Ep_MJs_r_K=d^V_x~A+QLGVP54KUi+*$o@fW6);e=0oVJEhhAt2P<$9uhkmF z{L&O}ZNxBxXpTykN*zAsu<`Vmxf1Ngnas!fjlJM*X=)lxU^4fC5ie-RFa#4rb3pB8 zhOE@nkV0&)!hY|3Dpj+8LjP%2MZ9ph(uFoFiD%?vlz%_Fn_7XU^dNE?^{Efj6x(!= zAjZ-Ro$@1Yb=H|mYwVQ-O*qKS-s_k_mU1&1ebmwvrA+%-{;bZRmym}snhKxBiCHX z^B9z+=*lJIR0aQU4DspV9DS@4^0DJbC)NJh5U7D3-$?wJ#Jqy-z*Ph^_d^ZuTv!|R zq%mFn-lH<)Hk9~}+i3^Hn_tw0cm^rN-^#4`fUzIJs$x3{G>41@B0xbjEy#lzWV_bh zFay8v>xMRyNIowG#grDu`iPtWe};LX#lcO*u3>>ST4jQxXS4TwcR(YzLwvv-aa|AzUHB#xa{C3Z45HFOpO)81M#-H9xW-3!XENR!ly^>&8ja8kMyXJm<)_hp<;} zLF9ApId&RW2R(NYB+#rG8|WhUd{!(48xkpgQkXL!V01sjt|4Bc%RG3TE|ou4ddSkSWraxy+{&>$vUh&oe)X6){hnE ze3br#PF+`dufnM)G-Vu7^;>wNq2-}IbkXE=YmD~?!f!~!GteJ$@=fewBPj>3ZD=RP zcKQgh;l{6(O`eD0Ot)ZEQ6O{=G#`I;oQ7tFkgUD`o<3OaAZKiY=cZ~U!9#o5=#21 z=CbU$B2?a&=BUF-J@s{C=dYH9!^Dh(;eWIkVbsa{{Cd1v2bd; zP0IV$zE@YOrn=EzvE5|oy$unJdeD?SLj&$1u8HjX)Eh^0Oaf0^xk_|P4p3O zbfgU!OHF?CA0jl}am=>V%CNOfF18Qt4llC;$EQ0KIui z@xAZ{=w3!%{7?o}(l&shnFa6aAP%DRG_I_W)V*jk<*J^?J z8dlo?Ve%!Sq8&%qf>J#pOjUZ-7DcY?!wkD>+g4gEBW&{iI-LGLV5h{3&{Z21mL0nitJ=go zdkMv8;H#l2H(0hHwt%r`#k6C>>xq{(VNAF25&s|N-aD$vHftBhiZml2ARt7kDgsIo zl#xoh_|s!&u%>_$+T?-P5bIQLN&(rhd)c*h5b6PV~=_}5P)r?G6 zKH%1M7C$yUF7rv8YH!z=)SND7*n9JQkFfRIf0tO(`Db43U%1Niza@uAcgfDALC;H| zSX322$PJ8Kx<*PKl*NX(c2*fN5DnHvb|DX?X>gC?vVu%{%dH?EqKCj_Xq)^5Kin)3 z$)Z9B$B^RRc%q#gDJD+#{i%5a?;wB7z*3`?a?|x<@ZZ&5SK&F8Klpay&-(zQ`2e~0gAciE{D_;1(=D6Z%Rb0C%*~Rm zb2c?bFysmJx24bv|wVu-b|7(2yo4)EtTEob-kQ1%KblQ0A04 zw=_^$8QdHAzG;jm z{5G+cJLS7C2{=q`ynS+3ZBd-Hotw%*jUm4fSjF6@`w^b_DBeb>*PA&-mw)xj+gOh2 zQhLpk(iWDCk?4I=ua`RFa7|pK`AF0RMzdwOl5G034@e%jo7aPS3y?lVmHs(hE+-o6 z&RDYOEh&yzx82vF%_nY2VXLT;YU{<>e10#`5&OTozW#q|G1~JiW`)p!Oa-`i7+->n ztUlyT7C<;-Ak`O7nWg=;3Y7jv`CTPYPS#gZ&xg-Dls~=|MaeB`4O*hrPG)(q|3Fo} z;SXTDk%stNqNhaE9Ki@6fcIesHL-@)#Wm2Cvu)1jAZb7UT+gQ`*~+b{ zUW*N3A1M=QnSoDWH<<2o2Y7Oz=u($SFoT?5d#^3TUA>B+NimG${X{EzH0S3y-%D&? z9ITIuQcf}-dj0&2#csGp_c*GMz}cQm2l8H&1$!=l8{U{NKlsi-dQ6q>TKjf+gFdg5IwEMKF$ z33s@V*^ux!K=|hAPcPdqzi5tE|8AAH^X2Tq=BZG}jI6VJ7pef_+ysMyL5ceDI_f&C zp&^=%qKKb9LauwP6>{QRAN5P;7iDhatDwU%R%N03%6It+%oSS<&%X9;O(UZp8`yK7 z81I|`p-6jeJaV>@S`UY{OD5eL4}Ft8E+(CKA%$P1e)D9_pO(;=6d7=d)0S07F$ zP;ZpPky2#2bQp?{*Ng@u2QnJuw=mQniLc(X8~&zeg+mt}I;o{x_*#og8-K*@PFVVi z%>7Atjns`b5vmn9Ld<}>;&pIQ-1ZsCR3~l5(2<IQU&%jflOl%naXcj^h-*U>r>4Ka*ZArXg#-0i($FAHeJ{w~#LL!} z-a%Z+ zUGqU--C_EB`x8uDu4){vEw`PUtRHqh^K;WIVSBE4v|&l=wA7;$Ck5q=e(+g;tBlVi z<=9VCup_STdjxdE(2BkXgmd^4YvjC{-k@875M``b41tZ@beg^k zA5|9cs*M9o$CCf<9CAAF~x znZ5XNGB8q?N)X@Y6o=F%sGw4<##HxJl@XIn*Q>#VQUYQO)z}DcsWs~al0RGq??!cW z{KncwofiEv$W3xdZjQKN;yGC+_Gf;@iS<@%F=RQs7jXb&Ug!2Q?O6}GrQ}On=5D+f zuQAra3u3QAa&)6(lj@3N7bxn*dNTLZ)HcTKf1H)B?%ZfKcR9J8+gq2l2AXH{sKV8| z12Oa|5Sn4F7+1SKWkJN_#l6L^RHGUf(0+oJqOOLo_RJ)HVcMsBz%`>}4OM}(LMsY} z@IbDEZld8POmb*(o8PG}AH@s7YQecSlL_m$Z(5b8<&gIdCN`>(pTJVUn6#QL86>cp>;bOoQF#BpsQc<fMj`K-fvt<=(lY_|Jp>Nc`FJUn!UcEn4IV#_(jlzh{7yk13G z=CFI$)g)>8$(|!xLeV2%4Awi_o}V(5;z-2+1}l;yI>WkK0a>jGy(UCjTWH&bRoQ4i zqu!W;JL^dsMcncy5qTPrY6FpR8nGVN1eZWK!zlbsw}=r{$C*+!2ocWFQAbRD`^&GD zygRQ3gM_YcdY&H9JSh>aY_5J{pXnkk!VgIQg@8-E3E;)hJCG_*pr5gggX-tV2GAd$ zn>tri)P>c)>_7fV{~?RgIq#b0yeipgG_-qSpXusT!b0n9?j{sa0J4Hn2y}QH{xTv? zemC@9c=nAo{6&_OA)vny4RqxTin(FgUYzH^ibbpi75PTxI@QvmboA0lbz7GB93hgW0Kj z6g*!fo)xt)DEM&ZNK&vM6aFut1GS z$A)GE3GZ4usd(?2DNM(eIDcT3cU9k-cR~k0x4_+J+CTe^jdtV>9BFHhA-hr|u1`~i zbhuX>b$NTeD{Bf%`;|k_%hi4D`y@;XS%0L;ZPKbN`Z4mp+eJ4JeAk==f-yJ&us!~q zjR>h_&|WkJvNCFoRQwTCl%X%|8Q>aUSk z2Y(rWYlIiV=A_x%aUI46@4Dv=j|1mjTiJeR87XeWiw1f|)(NsVZQh_(B+G0;S#Gdv zT=IKjt9oTQ3{vBtGh@OU5pRi&KyBQK8-_FdTD_O47h|Z6#^le)ixyc*9q)Wobup*K z^YZrEWun%smceRJ>h#yW3VUdxD*(bb_y4O-o!aPBeJmlCECO0@`tc$hOPYYL{_tR3 zrqZ*UQsq z2Q75EH~L0BxDeoCx;zbmaTmxe>NhImBKZr9j?2?-qP<5n;q*I6wu`%YT|I`nyWVd6 zK4Ld=DeG0s6(HSb915wj9nHrG6uky&A%8>rdI}Je(hI*Kq$ygL<4KwEvO4lPEI{dA z1K#@@i?w*DCCaVrp%8EIVgNa?_tb_K_F>y1X>wtMI(D_7V&%6#=(EdWj z!#%r$P@a_!_cS#}=1z5pH(;abXalQ$^5{5OXj*>9u}h4V*^m$rrCZhtzc%rw>q_1` z_*MFOsJR4E=|odWh#A{`8{WA+W*oly;^6`>W9kV%t_f9aNt*Lx@535$UtY!TRSAdH z!?xIXcYN&{5sE0Ze_(Z1^!`5neX^TEQJ@ZIt*%JePV9TWuKqH7fj7k8D*!LgjnqEQ8s29G_v5xwD>0D6E8RR zF;x<+W0mG>G~AS|^9->^!9<>gEmRC{z^bzOzDeXzeG8g{gn00GR;NyV3`({ddQv6kuxK((cDDvg^vL7DyJ!K#rn3iP;IAssq z)&ySN+2YcYZq=UrzG3A@A1B=eg$~%zuGMeapFU)$$J=6(%BXy^a=y4=M`^HA$;dnGvj3aWy>;qB?dOdim zn}hMEpXa`EcMS+;35i@;usrm1cVXtlvvEhm&IUi>_-(Dx@H@bg8XL;e+oQ+~lb?G- zTe*FA%CR4dVG>SvniM9hQYOpE339i6?SnNAj+8G@!fY4|G33z>gor0k_Abi!6$AF6 zQsuF`_tN{%FT1~4g>FCFa? zh1}|_n9Gyz=zX2DHwH>JC4T1~R>N91@%pF}NX!&JQ<74Gq)q$x5^UGD#?P0fWi{Fx#xRdY4 z6HuiQC9uZeOYY(ZL2fk-*KZ6sqPul9x3Y(O?oQIXrs_WK@>gBh<>4MD+IZ!1j|?Ql zderR??pK%(-is? zR!x);R8k7sPv-7O{13ds6;5$VcmnNne_181BjM&0opCR3&~);}F1A zcFG1m<^(iNUPN_)$jy$pb~ABaVrgX#K#5K38P>A{Y%{DJ_rWuUD>X_N=n?U>B26>x zy@~r^ut9V0AVX_wk%GdmlKY>wBlg}qZs4NZ35QKRDxcA4Qc z_VDr348V$Nltk0+j3;~+8xl}<70nME8q-}>WS_zHRPXOFR>rj)0ad)@%Xo?yLJD7J z4m!IoznYQXR9K1^^FluHIwNaoeDJ05iL*i1YlI4CON(V6Khj40)a0CF0>(-dItu`R zBb3eDU>9rIfz{0#_NpAoI-sn66(HFcDQ^X88{?Wb7+SZo@Qm}{ZXhDaTkswWvE=p0 z2xAG3SMT@th&p){V^t}sH4CqgDD$+7MeHL$y`uI(N~S?HCt5Y$0X;M`58r7l{uN$Q zHd{ttxHEDv@_grw_GqW|)t$Qf6Vc~ZkdbE!1K}W@rsKVLOlh-&OAO~dpyq{mLoxxg zD7GQKMw+KuR)_YhU!xK@+D{<&26^HBg{fXmtih8uAeGVENYs6#mZM&hS7nUN_4Ac6 z6^u>4^9QUDe-#GpnVOSg@LMpE_2k=B2GS8vFRN>h>~bK;1y*)99XjIhvGjHZtNUuU zxpI$5>44bj%bRUnF@*9eDj^rkbtcaPE;`H45=h2rh5 zcehg9>^+crQbKV-XB{l0fN}*btquu{(`Jq?Lv3`;1RiN9^2`njHZM&WJ=Mn;sJ*A; zdtheQ1=*rchgFmRkn{gF1NvVYws+u*po?3cJa6?A+N9LP{oo6%`@t6vdb}$m+uc!% zS}ph)4tZI2TX6XHvyM|8L^<3S1mir0!q2+i!8yy!pdmTpE%hidAo*%s{thVzO|~>i z9`PSKIAEZXWfYOIPp7QYuGlxLs7f|d;HFRfiJWfSLEKO!G7{m2*}w_rKCYG>;+*cq zsi{1~NdzA0w=L^(V~SQ4>&@^IZ=SHK+3%c5i+lX^i?Q38^Q?jH5;A22?K7Dz%-Pe! zYsuprWpF6?Slx2xt(lSx?r5L}2~|dMjct$V({4?6`*X*W^fb*e&{D+a32@n0aP1>7 z?qkqtE?vOX46EMx1@985G16~edFT64w3zK>u*C>dA)6Mql&IT3e>~Y$)U=86Uv) zfPMl)?Obm%&~>_n6LF$Ym1IswBM7tps|(KtD&}P@Bo?1p)+@ZaGM<~X9j$IZhM031 z*}%=h%CeQP`V4d`d5pRP^1HwkmZUURQC#CQQ!Xo4owro_hPkeIvTOKQVtwMlOUiC8 z7e0ZZZc1hmI8BZ~f3+d6L0%gwBY~#*8uI39CEIT(kt%z7Zjs+hjf|iyn`zX5-w=Fx z&Ye{fcW_+oPWYLZRV0oCa&#hRE|PtTBgajx-U79sgV4Vlcs)nparAeL>m7zBj2XHJF!hG6 z&l_IG4tn^j*^E9YDfxJ^m0>7lwWwBny?jZq%A?ujRvY$buydX{754&3sFOP}n|96Xbxmg}2ra=ot#5`Zw-XIPT(-}TBUCa7BcCNxauhesTQPTg6vFkut>&Eeyq^Ee= zAo=YIS2jQP2Or)YG?}E(h>Uu2VHwA;j3>d**&DCP6D2`siG%O~d6yB?Ah{GvKp3p} zEb^Sno4nrmAHJ9^A?4oshVq`6-9L#-tlP2Qc;5?+yi+>Ur{e`vJYT={3wE#C zR;zd2>GJ#xLgPb1jSi!P6k6raPzXk@uT@|i%Al(sr>l^>Y4zJ=Z?J{+8eK|V?qqJi zv2HBJELz(6O5|sbEdw^{9zP1jI@67`S;46-^vue&so3u?ml4sTHlK10J3p_*m%P@G zXr9ZC-Z5nV-1m{ha7jAy8){OU;dr=g;`LK>PvubF3bYv(R2p1KvMz14o&!S zkvgEUgZYE+1Bg~zV47S{AWY6o!_y>?Ja6O8{kkngF`K|x(>|U8c6()am2=L(7pUn} zMSrzYi#N&M-Y)z3^^p^^Rv{gxiOsEgLwg3bPYG>^XR>RnH*&M94|<}CVf6!K_m^1r z=bjeXHFQnEVeE+xA0M6N!}bOd-G9P8@7@s580Bv^K6jK0gpVS9cy-k8K9!nWF7XFn z!dcLLKg^9Je;vMoVzUt-^_Vpsl*0j&4|wY|c{cDFqy)Y_4g~01UgMW+7XcO}V>Ai8 z^^EGrqlAqd6QF7L7=E%arrn|&yr>{lxkp`n>`Y>VjQU%_*H8HP`2-mRiUp8VjAb^l z?soa3qH#(LjaSNPk#nUZfm@r-hYl!O49Gg?KY6wH9>(|PE63~uzB{bHl7Cy>YH

  • JSi$HjH6Iq068>n&r-G0 z@;Y01J;`CHxgWb=v5?*79@PdB_B5SqpuN?&@G98u^bW84kGzlF;68f9D>y%F$^K+I zhjt6;2Z?exHxBW&5J(!ndkJJ#jKH8zfHdoPv6?*lN&@I@=me`b`tvjK_=$#}A2ES5 z=3(FyQT;pzJMal5D=IS?SVAJ_5hsIph{QdLpYUtsT&Lq9r5pn1EC3nXr+J5Z)nWDe z&arg)^k+!AtPo86^@-h^*ZPLf?HzcwUe)*MWb}!1>5A+4^F85=GlVbRb!(RSVNW>c z$_fh#$}ED_)R02dCW)$(PtWO?l&-sYfp0q)^(t8K-##7KeQ6-G4~Un#zdu|vsHG|S z!RLmA(Cv^tl~IJCKL%+cYc7GC#f=XJpomOy3P_n)HFjSkXWSfqUzE9r8-qaO2a;*< z*-wB9CvU4(!Mo4M;DJz!JNOgLv`MG-eOTtPX5WOI(Cd%nefI!DU=KGPK`TShfS;%> z0(d)sCxK!$u>x3a3mhDf0SYq4q)!DAr+JR=N>>_#vRFTV#SIxtEK-fY?ZzI1+__KR zc)`(Z*C|%ptdo0Mu%Y>)iPp4n@C`>&W96T82Ti(k&&LjG zE)*O%7Jlx8*&o^46Q)>6+-LaFbaF{kt(^U+9#DKMTO;3H{%RQSZeC!#t9#S9Qs|W= z3yBER;|XU-tOGyzo`F~mAnOVgitr;1ter~#K$;P}vr`!mKy+bRF78)O_P%F) ztzug1FzLdtKV3zl>CK*HYk~5M45*B;;sCi%edX=o)$rOIV28*+x;2cbiJusI-gg8`OO2#bbt=2EwNxf z$75zdtV`qp0m|{If**Xc*1RX=#fk=w1UCmUnt>`}J$_@0)qlyFUw8j64#?l0lJ<{>q&q3}kVg}pl*^fS zrJN4+<`rY2Zry)KAYfHrI6x8orp!%4Pfsj444lXnk`BG2fAM04w0QKkN26Ph$@ zdD&Ycp3v}-7P_NP|8i`dUFdU<&Ff!ELVR2KBvk*COZwS*j5N2xRt{_#CB$KO)5x)K zPtg7#IDP0Q$N+w^{x;dBUK|x&@kFq~ZG+Nn?N1WTyasqFdG-^7z;a=<*HNQT;)tT< zc*Gp}Y7wvTeOk+srhAHU;8WMbX6I}4Kf?}7^kV(N&>t7lW{xPJS~+?Q;w&X0h306w zSUbkP$>qFyR+`w!DxRz>%aF3UG~%FM zK~SdSEK~K<_U5cDG5Q>~lBL_t%L(2SdhG)lM+gq5bj$Ijag_qEs9LRU2 z-VRNSimBbTq>(q5qUdQSVUu}LNU7l2^SJ4!W`(~PM5o{}>K!WMlx74%+EAHo7&xJ0 z0hbG$p7zEI2L1_=&L;7=&+bem-aYuaHSx{$BI%v`u5F$L8eIQyqV3N?#GVVvFi@)w zb67og2(MONgfSO+*HD?cum8`k;@mxNzPBA}s_kbU^~8v6OxV+jzJ222nWujMcb!ZA z3)l0DU-=bXfV=gp|Nek?K~UORI0(gjH-?Di_>Td)>)XhF=9wx6w~2Lei0ls8%tnANk8qfyc^z`R9-8J+dg_U`Zh%?U=F}P$_-Vn+ae9@<( z8@{=S7GY-%8_xTn!{Cd4y;N$So5_8!SDMbV6&Ur^1*XB=RB#Ynw-&(^#lL;Jtob_F z*sFAkHPp{4nj~waPLefOfE}~y14*-=B^FUPV)Hhjpe#(t<&dkal~U_WDRQc8l;f!? zpZKfCbNB9gwQ<`?-EpEY2Q0?M6bKnYGv}y{q0f0E`C9f@^L3WI;v9cz6X-e~{Z!o< z?MvFZ>2i=lTzISKN#-%<_yG|(Wqyjc+PD zBsHIGEodv9ym7r6@%X|^w~d$loCyDLxyEUK$6FSx(EqY!h!VY8wAm=8i69H4{UCd* z@*?6HKvfp`XP^#Q*q38=8M{_p|M<>5RQ1E9t*wVH+zUqh#ik_#ksjbnHg+@JKg=1h zQo67Qb8>DkBL(Z|_Q>sC^2$AV>ZZx+g~Q6@5kVbw@O!n#Tm&z;U)!NO0e(v_iaZ(x zN^Ba8>_;PKSMzOWj5Ry2Ru2Z#S_VnmJkv1V_g>JqEX1iyZnO2 znhEN;t+M=>v5r*{RQA64kdC6pJ1fVx^cSS8Zvv8eLF)%? zY9@ltgvYpU)R-Kfs2G1FSi{Yq$B)Lq-`>o7=7A{5tat$#v+HjzIe7F1$YfUdtJj~^ zQu|aoFuv#M<3BWu4-QEg*zW+iqz{%$0+&m-WOd=)2t^)e0rWql*hk=J*K!J~DuTFW zMis<{mTayNYU^@4q-0(DjiU_<$J)P?Q~R)%F>Sn=(U+|nrKv;Q>ZtWG6Pd_^MHINLd@&d4KZ7D z>D0reL!T4$nwDOt2!Dv%>g`^KD$L=CBO8btiWex>=8VS7%niMUYOrXu;n|mgY3GVd zWd1B|xsjG6J#}0dcU(Z=-rlp1KV0fZ{^NQXA^#3(KNs=j5kIkrE5ITFz(kDSS|n4_ zequahMSN`q2xztG?t_T8xP6{7jd_6B@czPy-D5~Sgc>>au5=!i;@f1n!GS#6M%RQC zq~^kyNGoVJ+t@qxR(tGsd(F}j$d@%!FXK8$8Q)tTYA_~HaaYozW$Sm@G}TGzX@u8L z&*%dAf!KJ8x2-(_@5~#4UOo3%E90ETxGc@)EMdQpgS64ZB{?x zT47C0v2>@o8FPosw<8pfNw4TDj*BGZYx2D57HIq8oaddNu(+dy+(cF zN@R*vze`{tE=;m=GkKJuk;eE6G%M(^UVlbLcGz#*GLF;5^`aP-WQuGJP(O;TK5S`K zD{^}9+*_BFcW+1^i|!evNb-@qZ5>SpSG1 z3|nduJMg1v#;^ir)gh3!#E=%Ml_)|eId4kUk%`aQxgSdBeD1yPZgfr1rw7=KMJFn1 z87Sl$9Mox#r7|omWm(om+}Il=`1DQk)~i?zLj%mSfp+>HRT+=Fb>p%hLx=7;E1NI* z9-VOlNx}bfKOV!)Bzuw|mG;>JMzSd+!9dV2veIZMm~E5iGtYn)(lqKynTg=NCiUr- zUGW$AUcCc|@`V?wII;%JnP;^_n&8MqHliqC3LBh}2+Gp&^_7#<=A|1nVCnPY_1s(V z?;fG2q^0M7LGL6rsE94jYvIX&Hg7SkVHZx~4;>WncOW|O`L-gH((^5V<*k&ubG5L* zG2a6F+-3RmCO7<-h=lHvHlW_Md%f=szC8o zj<;VhS%QR1E6w?mGKyfFL5O)&i!l1@G^L=Vm08No6lSbR6}fzIfb;T-MOpymNzvsC zkNC`+_<8}S_8Z3*gqpKti{o10fElMb5Z7~dc7HGJuLk$o_zf%hbKZ4l#N)|Y`_|?N zN>%=jOP6An{d_R9YmeT2^IprE(I6ic`vCsQ7G&$%YWrsKjZfN)SC)* z9DoO($|cBfQ>yrj&0GF~HHDb%bm)%)a_=jEk!H>^KJ4`gb~7C3*U z{(5JAI}+FNjYyDQ$1nQ*O#A!|L@vU`1K;rkHqc3Tcrb1T$%j_Lu)e*_)w5&dhd=+e zHk@ROvO%(9gJM5KEhcKX;151H+1ko}Fqx0*2FwzEGzC#=n*PLtT#O*-hFs~cliyv^ zf5RXIafW&5ekvuUNV2T5;Z7trv0#7p3R++Bo>~w2zYFCMW2!)L3bCq>Zv@-%Qj?Q^ z^aaR@oIqT8tcHyIvjpliFvEy7$vS}k#I9|d*Lf=4dEB0RP-#Ua=hry-KMT<}Fu;sA zF0mL$#vl`_^`|oti&g4xAS+oTy$ihNcbFrt1mq^e0@1{vP$%0zR&On8&r?X8?Ru;| zeK!Wa=aS>~1SINB56kzT?7eh<{ee@Tw(t8IB7IV^fFu9~vsG~Ilqt@3)h5)25+q+x zwPa_Nn#g2EHemCINy*w~IZ3=r_fHPBYYNw6hxK>-CE#tr_ia6u*)o9jd%wC;U0P-_ z*I%*Zp#9S?f1y{uTDAzjH8jK<9Gk*&O4)j#^P#KLrR$%1LP)sJ~Q(d$|5`wOFY47)%os+&=rLGjA68CYU z0-5kIfFp`x5x5z}NKmX!FRY>pV~vDGJ#m5^6HFDtm1u$UVjmv{g|%<_m~YqxVarC8 zhynju*iOTj2qPG#?SshCzHl~z*OR%c59>-picqsz$sp05x!=}mLZVYOb@H%eaI}PD zk73v0bze4oBH2J_HkwyM7T}2HU=2Z9q0P=x?^M|~+tPB~IjfmVU*)Hll{3#BaUFMF zu>Z{!{&uZ@=dKLRc!GP`mw2Cva%7iyJdIFGiXu`fC+16@Akog;#GuX4TuH8MdIq*r zLF8?n;-$B$KAX+?=5YU~L3}L8AZ_Oo$nMBHh(c2`(|~4ON1n~|ZL#avRa(vKuOhkx z9O;cOZYlJ1-1^lm(f2~)JH?Ib50S4B{tL5I00PS$h|p?A;3+bVPg&GbC;ZishRL9S zqI#mz`F(K;dq#!FR3AND%I3Yrdz(QH9K!0Hj|cVhN?A%i7HG-P6@aJNzOanM%&KC> ze0_sYI)O%ojEvM__23!jUIY!qrhqn*L~+Xe;XJc^Z8~Yr00b{x&>&rN6I4VGhzA9p z%dp7IJt)yY<1x0LZ6q6UPIAd!fYl)LhFnpee)FW9F?R0b#+&$GEUa}KRT8HL?gqax zr~o*}YsQOW9bM5(Nx5TPHC3vvno%Sl%i*rZKGx{q!g00eXSJI@YOJdvnenvnYXGh# z6V3m@0Zku56vH{<2y^Ze>{0f453-m>o?$Q@FK7q(UF^>)?6c7gFHW*pul%mQ?`!ko zJB;Z3;Tk0uN$ehI3A|1dP?1L4(}@w)yB$!0O-`j2Xzxbc?zerq>Q>Xkrzc9;maQ60 zdo^qeTJobrv}>H0eaG9MsGHW02QE z7BLLU@-jX|Hn%tJwm;v0sjP3~rL;p*$y#>QQ8m3a!$Q{!Z$EDA{GBL(jp>1`75J*% z+$T8o8R|~nelKJ79#Hh_okFzh$>Z&U=G)v||A^XnsQ-F{*uFg%PnejTS$|uf6bOm3 zFXC$eYI4KhtCL(T2 z&&O*--CL&#;5i{~1lHua9TWx}q|hAcjb>gFy>YF*L2t3{y3k9PL^+>Rm0I_XuRpp` z^e?#W7R0agN`DGRg2v4};shUc-d0xpzs z*dvWwaS7hw(Ebb63BZyiD9UZkRN=nhsdJ3_jip!D5D|#C__ttnOEK27KoBR$ZME-G zd&LLD;j1@x?6g)<ocxr8)e=y{H2Bq2}7@#DX z{z>w{_|%}2k5ih_`QIS(uNUZd-u0KK%_skz@eck6Caa$9&o?tk;Izc92~sa#pRlYOWdqKzVZX{30Tn4$HW4S zEKkX&IUJ>gK-GAc&_JxkORbY}TGA&gYBp{=DhIsNZ*;^IP7`VeCn%rUKD$Im3^>=z ztBQ;grEG>NQ1a<8WZyI5S*a5l>28%L8|ssrTWzO2g%j#iubAuFgGg5b{A_CV5fCXV zu$JhOSvg*0k=cjsA4Ya}N;www6z95!?@n6hxAThm(dF_VLdN(Zx!6zzLE1WB+# zQncnENM{iRr{xbrqO=U8*w;1pD9m?*_owTedQTvHiXPPY$r!Y5d|kNrtb$K`L5kbX z?&`g`Rs_S65O%AYKqJXvjmjOJ>lJ9lM*Jr$`*n>>x#}H;izc3Ki=UZ|(t01ouShEj zAHA{h_g60mB@_6Pp9644No0_c2%LYPRjsjn*LS{xtyldqnn+fb1_)Ix`<| z^1MEL5i1gSG680Plic|xo^^N$QLxVa#WZoi8a?%A!MD+zR0S=~0~RfN;F?aRA?)9B z4-9xDxzK%YBEEHz(Q4M#eTQHG zGG{i2zXqdRnfdm93!WHUYBgmR+b@c*H(^1rypVIe5yMB-gJa{be7w0CeomB;VU6Gw zjv@ZPa&9d@_)_PyfQs$+U)Rv=KZ0G?eg)1TiW<|L+W?MqJ2Xc}iUfjob}`IuP)X%h zo>rT=w_{HCG2&bouOrkTYOK60TJCAe#S`}qdp!RVo*1)N{?70F@r(BaJN7HFTvz3P z9sFPzbERf4Z#{51eQ$JviBkC5i`QRy+=`6e?;lh$3_{CdFh+9FU%m09?091JMHBYR zJ0Tlr_&M;68^1y({z18rH9e2}Iq#Ky4dzu~7%I%ZS68k4^2n9&`31!!XEB|m!ulPi z@j7v@h2xOU|G|^~wpxVWc~Wo_{*z=-BzqV3B+wpdr(nQb49&>Oc2)%8B~ZU(8MGID zl1iT#uoUMcy?$Glwe^qBTKYAlEVZ%ryW|2rP(BH!Qqie(R59%CLUJePAomV8%snXJ zy6S*&x65LCq^HoKDZa<`V|>C})doOA)J9wrZxhp)IEE0w3U*!fx73(7$TMEtt1>M7 zu_m$6MRC{dAc_9_!Kha_*3eL|CYm&-9E`F@Ie!_Y=7D4-nBU^dMtMg~O^`M9`t~jP zQl0Ea`uhem$tZpNXGik<5Ml*^GVA{gUrNKU%V6C0ekVm>VWZ*s*D#z`{H$adkMgr? z)A}g$4yZ0)hXVeIVWqi>Xcxi{=yikK@q$0~uK?M!Y{jp>hifxo2kt*kdNPP{d7rKQy)g#-2Mq*|Zqzk>Bsk49 zTX#SY>;csQ8Qcu~SDGOVaJ{aeOl4<2A@4GNY8>|+8^Ef*_=E50Hc(MB#&f@J0(P6x zjW5D*cdCM8&3ID;uEu?Qoh7f0{QX)cKd3G!1g1aX?D88;4u>!j#zukW+$T}^QE-^G zfnj-+^n-60{LWCrZ^I2hDMaluqzLLj08F~u&XWR#>jmH`Pjh40_B=6JOi@S<+q!kp zaF~s4BOYpBr1w@mWh97)8IBMBmho~5~NkleX)g9#=*QqK;cE3f`^ds`a1KkxCo0ixwuFvm=X zIy?A-&rDzx&r#d|v%U!a+q@Up+HYZgxi z!$N~1rn?LTPa+i$ikSYk&~VDCHFx82Fpie6`nW-&4s-!+w$Yt#$>X?ERw& zDQr8A7gHsNNvJKQ+{^`4N>r93hqt@*B*rk8-_|fkv(z%~SZUYI#WK3$#!_a=)&CEBOD!`q%wzOGrjT;Xp3j7}$pAzWw09ZyW{xcz}W7*5kpb)$_bg zIG9HJgD($AP95ni#w6gjzN>o2xS1o8olT0KQ%d!8>biKr#8$vf={BFV(x|l@dp(%T zt2jy>P^-nsGVzTF!Ebi)WrMuV%dY|>C<4!h@z+`^#p^8ziP3 zDJx35$mujTec_sBY><6^@OavEuf%E!Y0mRo@O+3aN(5hHk%*v8;@^7D%93gBP|+j5 zAAAbEO%SZP8a)4Rr^9HW-T?(oyMLsmNQxQ z#9Xy&HVF>zeImNAao$?AVCbmQov>-{-!IGz`G0Mg@uz3yu0LCH-55_0b3&t6zKjzj z25uv{TtEf=_5^=@Y$N|d+*bxyPuzhMh0e2XL(DgzL?bOyXVA#GQSDH2z)SB`MnkX^ zWqC7I$l#6wtz*J`hrdxni0WTlG$$*I=(;A2nEPFQA=XPDSLHXi7EU|pp4QIWxH{u8 zp4?YrTFElD;8uWsMQHB=IFs=_J;2EV2W=i^(4` z`{MY{)VCud7PE_$ds_p%*l)C+`D-SRbWtX&k=HYaweY_c%_p*mk9Qt|7ZD<=%;B+ymV)b8T%=u545k10RzzRWHl3BiS4t<`OLlB_Yam4& zqTp-50CO_1w$8)|IOA-4_(N127EolT895QvDnM_+u0`Vc&D47ox-xX4J0#7TdLrnn--<>CuV$_zc!zA-4(h;f7iIRvR#kY*w>flh*)=A zWNb|1DAVC+=mjrR%V5Wcc-NaCBm6Jw$Q%Brhmc^)yn(!rFCK1v4$`9?FfA zW&FQo756T;1baFubiBM)sIP2pCEcj?{HAU@3d#kiuj(RmL!A@2J)uuIa138yevoxt zqUV~(bNOA2;rkz*llnlaDJ0X{NRj=6OG1oB;S9JrRfwmSIkuo2jpfo;^5w?6oUJUpXNPLy z6F0uidu)@h?Lb%Tlo&3u@cf4Wf~VR6v(*06-Sd}+ z*2&(t5Wae0!e;#&!6Xr6Tqc~G#xZ9LdBfk5Kfo!;w4B@DEvS*=fvRTj-jU0C6}yU? z-g-+6Y^lEU{6_Shb6vjH`(;%Mt9J}~f{ql#XeJNNO~CEI*O(bgdg2Z;h;?%YwV5(d z1~<`rzf~f|?zl%9`o*W$qDnl6KkKwtub7@Yn{rAI^EWSUwD3=Eycvw$+&qZuhBK@+ z@1o>5aye!qk+Wkol9(C2UHsVX5c2uHH}ukyjyl3}<_Qs_+1KWx(sQQk(hI(k|7ngP z=@Hp&A)HvOTGJL>`%tPL25IQk4hPdfgS+xbE=_YQN4x90cbmI+af5PChIPe#X`d}g zL4tQF=Oy>e;DvvadygcfVsgQM{5q`Wi6GptMnTv zI>c4f#>G9PwHD}mUV3rA|8#Dp;a1f)EudIs(^w_Da`Qg^p|Sf#CY6UojB0Y*5NkdO z?`r|N==_N;asj%KV5+18bWwKXW(w%FRb^#!WHhUA2B8f+|YB z3J@KYLBj3!xU~W}e3}Z|opmTrq(6~-+A)Lk0{yPERJ-4^>9~Up$3&nr&RK_QWSq;x zonVwl9&DKz^{h?tXg*ykYobJDH)uo?O@HeMR%9*od>+9qQoT{f|rMT!~Ex@UzR&_HqbslMy{H*qrg?`K@| zpU(LI9IE~gBa%9vI2dVTgHy$SAz(oHZt=slXFzPwl^IEsi{xzYr>hb$)q4Yd8-&P7h^syqxJhCr;l zk%t=nx`>m7``LkoqOSqltpPav9oPRJd)y-b-Px@Dvzhq6zJ#CfqxtZ~%ecM34H0Uo zYl+`dI)4$UvIc;-=1jE?XD4)ry&X!ft=<3?(H>(i5S0@&@Uhd1C#n;+9`7ANG51{jI3#7+7#UMs-P{1}+T4kYGfcLQRa@t)Q>QROo(waBB z){^3SIq~DJ71BPNI0S3l^>g0rL@!fxFfCq7N)@+|Jjx-m&J2rX$w)+LcKhAVCAR$8;=A2Ebm@6a7`c68f=p_ zQ{X=)?HgCO@2K?0UH#3dGU^8rHK16Q^@Gn{^G@};j=5)*&~YZp0!pVl-s+P$OB+@_ z9phhGAp8U!%qH$rzPn9E);@X*w|T0%2dCCbmB!kSg}^{QjnStm=!FxEL^2{nON7*q z1b#O{JDpp5UUqQA#Aw_{M)}aYu^oho8%hPM88rL{5@qJY9*PP;^86dH>Xlvo=&Mwy z_Wz^q&BLMo-@ak3N=dSomzNZctv)B0T; zIf1DY;qnMXM0xqbn5Sm>v#S*ltV2^``sbPh`Wec_?$mOR!%aT;QfM3v$7m_8Vyc5` z??IYUI4zVDqhml(=3_<=D_(5Uc$2FhKm5FxXTbdJaf4^&_Y4n6;+;$#%@{ZVHk$KL zNA77K6Al2j1Qg=@&Ebio$cvP$epF)fVfUv|tM!GQig@njtiHRGhe!Co*o3Ft-WL3q zJrL$j%=^VN0FeHoSRMSGbAd;*#hBAH{WF~WV0Bd7MJ9n_>8=fY;Tz>Z{ zo$dVU^v&hZIfa6`|Kv0R0d)IsR%2!Q5jgmcBUXf=uCqHbc%q|T56hAQjycaTx2}i7kT_fGaYy?q80%j}B6|#wW z&RUuh9OF6)6J};LF^ES$rAigwa)Wgc15Dc5*k#2hq|_eUMo*oeJa8P3WoFW*8Bggj zs_cj{HfQZUyV^Yl-LYImDcQux+1R zVz z$?QJvCMx$g3{AT*IDo;>eQ4fZm?J(Mv6(Bx)}=*_eM1uFq-=;xOat+C9@aIp6=xOn z$Tvh(Rxw3m*@H*V%3a2`6z1fr9Em6{XN%_6L&~t>TwzpK6KrG6N!HOpHZ<-M4R%+# zbds%{&+qID(Hd!~-(Mg)JRuvQd}PlRDcLQimv$sE{5i>Z$GLtXh6nQ*4bO1q0GS}l zj!>&bHx37*^Vs^O9X=u7R(--{0)U}`^J?`M!95l<9Wn`7GyZhhwI^5(ZC*o1Hnb^I z2sgoQJcVqo(G1)hCsH0>b0fCj%H=|fpqY7|y9L?O;tbOf{?JOs?M;A^Slr*zO}8<1 zVl|d8QA>;hPI-+TMN#cy5pCUP>Z%PN^L^#@%C7YY8Q${sy6R#3;H_e7`rR0V)w=M_ zx!=~=@UxU~GrL(3v`A;|8nzI#o6NG7IIG&G*aqTnst3|n{#}N%hqA}#0DoieLwWNC z(!LJlb*uEB{vEycx0GcCF8()&uq5z1{#!1lBs4?r_(5nF5%*G$)-p3GZ++xRyvO+; zm1#4HO8NR+ZW`Yv_lyQaU{uf*=_`!6{?kj-&1~0L{zdrOo!}*UG*Kx$6pa6RdY~s(M z$=`*+|3?gHGVBd@SqG>h5lixz$*MCzvkw8am)srn1ga~&y)ktwoj*D^%L*{YDvUsm z230Q9x@=pnyN|5p=DaN45YSPP!IA|p96Gusj(2CVFEp;u_-?^y%&F=4LdmBH;4WFKg zzq3A4cjz1I?NX7;p;zKNo8vEM>s=1mn^@)i=|!URmoAG#ODiq6{-;EV{NTPEZVMpG zKR3c?;y{W;gG?pxedqbOP5>z2!Dk)VZ#lVN^3u5L&#^OkI4&CS&8x7>yx%hG@r$d# zhjkZ0#jY`Es!LfB|E)+8FTrSept9sYG>NY`DV$)k*jl?Clt8-f2m_+T0Ps5?S2Ntc4IOhf=it5cn`-w{y+CUJvkZO- z{Lv*9{a+f5peo$(s}ul5dCD*(yRqOQ?O`&8SmHxL`l0M4 z6_LJY4E!eihQj{mWFJL05YcarU^BzGYasK`QO*Sl;v3I1Ko@{hGA{>6q=sKad)mLq z`b1`hO*ru&IBf?x4VCXayT0>Ws(^EE?!%CCFzj%UVfj6^_e(MsbdaRBM~nS3x3Xo8@y9W5xqxa28JGXsa@@r9g;3beZ@DMEER(@kI1bNw5GnwL-?GpjJ!9XGH{k&$#|k{~ zm@tfH3geyvpy@Yt3`lnUe7|1TN5G1T@XK@o_IlXZFE7I{4Rk(Wi4OSb(c=3I=7T+3z^J{SdUXBh#tXc_y&3X5k3dVC#m1;_B`iQY=) zeh5yfc%b+^>xi~jE+SEjIFKfPF|@+d^YwvEyoNE9&q@f#EjIRMiRXGsJKYh18n=J5 z0rSQKa0;0AwT7{QDJw@nVj+CUgtP88KuW&Ik+Z-jE}XBadSV+PZWmZ$22=4VhX(rx08zQ^f2 zvR&ov&oC}IeJWXBB!h2rOtInA4`==x?&m}M0`Wgynj7%C_WLk_S}0q+ldFuD@19j& zsa4vVf? z#Q;=Y@Bz_aNIAE=I&!9v^I}=UBiht)`RaZ9R!9O)4$Ap0JANHVrsUYk2~@x$*a3V$ z>5zrE1W$;w?+>!7RZS5u511NB?TV%LE!%9Q6i7DFs9L2opDa18miespGr5-x&2Y~R zl-|jpud+`6)rZP1xD~cFcqdwgnM6C;h|OVNr01vIWgqY~(vnj!|vBie_FH?@apFbla^5iBoi(v)_bQ?%L-XyTGIX|02I&6jo zK>LK?aAQ>Em=Fev97gkq-83gh@h<80w#6fFgw-@afE1Z-> zNj}4-^^Irr_YRhLekb5m@2Xs_J=Lg$85fKzqCbg2Ve-Pv7O4<-3j-`Y? z9l_XZEpa~a9dXpS_gRFxV!lRlnuD0-u;}Hn%MCTfZTdg1%k5tr&G4_~lcpd>g@a+!h8yiWgEKNQ}0c>fjJr%8>R7nBW6r7h*-XFeyhS8?KCj&oQk zS!VvoO5ZIWZuckmS{2u_>w_4Vp}H~=)ZpGedtKO}XfM5h={I>u;z`O9TS$Uo&b&<< zrC=LLAyP6y@R77AH?}h6VrD_H`m@?fQlXKbqa~{FRrN#FfJ~E!=00`6bNrN+*aWOd z2QYOfIFXo{MIGQfUr;TITjytL3%04Hh?mXzjU){%?__H?SRILcH`#-`oq447N#&Vj z31p&WSwY(zF^pV3vx#-kxom4I(Bn=MhGn`(QiC7>Gx6(XW>57#I6fXeyIOtFQ+Kn& z<@n6R)4k|dPi2QL(J{qy5gw==#V4AdA@Hqtj6MG{@BJz!?mQ>4mKQC;2?a$3b3|n>pJc|MQ!Ru!9gqVukmqh+ zc{AjcsM(iZ^s4Zr;DM#-wI{WknvH=>NhmXrUT3S(++HaJab^W82V(ny2?%jJ2qm3$^hTw*b%)ih< z7>rhcp=@S4GGNrXh(tYXE~asUVGM1-XtqTz#c2!;z$dH@64t`sLtbTb@-Ys`fiN

    Wz{2UV~NQN6s9&lA31kZ=)a9n5@!pN!6k_GbDYxlC|k!Il5Ag zTs+(SueV&O6Ws`v`hwZa{;N)OfHd$3fSAAPL}d!uR25Jsn)aaJ#?I*9LCh!~fS5N3 zRw8C`NHXxQxK+7Q{Ef+u+a;YgQ(c3%yUtPZkL`6-8cbD|?>L4$|KzGGGg;Rk$hW0+ zsKdJ4zPr5I@z2m898}=`U;w>;x#@rQkbiPjze7s6Kz1+)aMuAEk2C-yp`9q z;|jtdeGWjgLJ~<>&6cjP1a6i709J)Nt5%&%wwsCohzMZ&mCk3YFtg4pozHyVMYYm| z_v`sg>ZxAL%84*$#!SVGeooeIVD3~rz;u&6;B89ldFWiP3U9n{u1%)9%k|?*Fvi>m z0oDqrODPF=bPVkOLtXm3pER(1e??u|qUCV`s7v*ZuXPNO|I1qaFjvyrJms==2U!=BqpZX|nur-auPpa#E0*cE&=UBs&&mlz`WE_R zwua+GZd~_^c-eVo`qZOvw?~9O`!4Y8AEO!RDg3`R9QikFNh5-00_k7F@L~$EWPnc* z;)<{j?{KKJ&-&%IGz1B&}GP7sKZ9Zvsw`>667l%Z)2jY!%SuHc?sI&~ss zqc}mkOjIo5JYmc&IIMR9Mim3?_0ZrEuqg{9^%YB!+lLoI8<7oyWhWo7FEM55@`xSH zDK7_H69+YV#k4F{<@<&rbH|g$+aJGgdK}g9?w{beEdcy=pa9#}b(1*~S1U-^ytTR0 z=uoZfClTpms^;MpZ+JGxx_-v4n}*N~kvk@X`RI#?V*kjJxiHc;owHTEH*4iwsvgpv zh~0}=8NZyHE_-J;%w~jl4m(pvqRr;(%jcdg9A$C&@^ld3$`UxwjBmb(J!*v(p&xmL z@}5|~!@5pes@^ou@!O8@7pfz z?qlQw1&5pdW$2%}qAvNx{skcFkt^aNx+YbVj-tUUFCc%;$jabLK|gB#@pS%I}QW~AU6o8gCJc^^ue!kTG6(*Qey6sq*Xvbh^Zo)O=|Y}PrZ<7A(h^0xQ(bPg@1bp3$6wAF8CzECPHtX3YcQDhwdBI*+9&=~GW%E^Od4kI0sl5XHDEhrnpYq<(=n8dB;Y4l5o-iVeH&sCQ0;+^OA3 z$eG^pA?v#BBgd^41h4I&S56|_?Pm7&qt`csmMn;HM5%r0QZuZtmr=)zhhW)8G-ZP5 z4UHuFemBt`gy5uRm3>+IwI!9T7NyY$%7qIX-w_QQ-eY@%LFo}$ z+=RQEDi7Lawo+i*(28`=E}8P!>30if>38;w3&d>Qce*9?yxxe@KkztU9qnQLB!(&{ zCs@jgt#91tI)Z3;xvN{MMN)bszcw@71uh{d{-LZ5HM?7ukz3aJ9((Ji__yDc>LMUS zuan`b1$W^Ep<6%^5k-J{Ya|IKgqkK3n({$$5LdJCmE|S6?(5Rhl%cZcAG2D8aqDJW zzSQtWRmvoO%lRkT6y))L=9X%BDRVPVz(|lZ+W9m|^pfF{3#obkgr#Uhm77bU`%#~thv{B+{( zlRa-CK#|OEL-Dd(C_7O4;<>U~;j&#zv1$~pLxszyvM)s3x3kjg^Ru0bL+|Nh0ndpWl6)?l!FFQm zPQ9QzMsqg}aNof;*O)`YMsQIHMW}P_7A40zzkG8YXw}Gl`SLBX} zMs*o81DeMHFXRl}NCQQ`KE`);)YKj#b=|273iaBg9nF(q+BY)xhgQsHif`$@yA zo8jg%*+}Dt(7Y@7v`z*rcXUbn{b!P=IJtphq1sWu_ zi*LzL%J(BkF-5*PA`&4q(ZUQ6pAMVbC(S*v6ciOu`8>Ihe%=rLv3R)s ziK|Ce<-_{Yv(>6m+r8Q-W9fSf;usHSsJ?+m-F<@!upq{x%mUU9$=N6cs>M)#F%Lxo)keT`T0m3|sUv{3yvyYNi z1PRZi2@s}YG06T@!G3>oZ?~|?SF2HO2spJN-+6$V`rRn(+jej{Hzt6FfKWkT`R=p9 z|Dgct++6}rwmbs=3cMpo&|L{in$aLRvy4HdIvz>XSPne=fjWQ>+u6a|i>cEK-oWPN zq}9M^=}lZwy6K1X%pe?9$hl0TeN#ZW_t|R0L21Y%UETvncySg>bIb3PIUfPx_1@&y zf_fXMguoM>`j#r=rNsGwuG-`wpT%;^G?7R4Y$GLU&rq!c7%Ft>m65X!Oe3|6swrB! z6kyStbPmFmnp@FSe2f{zvPJtrbZiZwEn$Fg;SP2uhFsPT8W~PcMacL4w2TaVzmDT~ zo|A_$6i|IVp49@p-Y>uO1*}Q+iYi71H42Vl8HSyJxMZT=?T!7m5z7T+81*(w?*4b4 zFOCB2y$E*6GUCtPWZ#c3Qi!=mPvdL`rshuTcb-RS@_@S?`b*%mO~(`L)c}lZnEv~7 zgG_WGrXOHm_QF=$mXrz1q^f}Y$9|)EAqT!#|iX+*F=D?}3 z!`L^hi+Yu)Tx4-bHQ?#sI;-N<)#gQ7qnS4}e?LdF(6tyaVCDuegO*^xOeeeoF2&2A zSS66KHFhGcueN5snpyQ4U8ZAoTVbT1>@ewYFoIFqowD|;>C}F0mMQ(ryy0`d>e6iu#O;mSHi zbdM^oA9f$?QtDjVKp2lX-V%L$x~H~mMNTm`5WE}IHs)d`cb0mw#^LJq#Q}lti(&Csa#YX!F}ya(R_T87-Zva*eCDBI^&O3E*YwZ zx=y-US|-DO-|YqE0RcuUCj#%D)<12*N#q{*0uwIbY_hKD^6;2t!(3l9`C;u}S|S<+ zUnE}QX?5LEc7A-*s*(o{QljAJ4y|@P|;B2EokNTwD zNjPi1Sb-}zgLL%Vh75Z8$c;ypfXn>Rl-W%JZW7hb4Fztx-X1iqGCunI#RbFUf3=d6 zFgs(S9OEvhxJEjI+jX6(e1;}aPZF$GMvFaj^-~>UMp|`}_L590e4p&6OYYH2clw}(0KA+EzyhAbE9QygDamn9Zdes$iX|i+u{1h4Nc9Qt693$)ukl>3AcYh5SJJc zptprvniyM+?jNONM<+C7QH-PW*jFj}u=+A7h+%-Qt9|^Q#8Il}piaa#=kw32viXy* ztv(Rk2Z$Ht84Am85Ct6ph5PqGpCc(u{dTXVNAk1}NP)|oB6_+?es^7ED7ob2eTs&# z?t=K;4;wgJ=^si*AOa|uNe^0J$P5;?E_r3`}$O&5{-NkR^Ze<5Evsi{`WM{1`Dv%{` z85v3Jc@m^}_trLK=v$(MeW}uig4rDFRPl3jLwmIlTY@_=MFY%o3JJ_PK>@|2aibp7 z#8bBSRzBM()5$YWGv8VEF}}+62Bz>xqz*$T9 zi(O{aapIaWi)vw9A!V)wn*O`Vt%5P-j3XCG_n;e?;iE%4HjWhcLKUaJ-OcbnlY2n- zkXh%x>lruS9DKX>{-Rud&?XxQOYl2S8{n6UC^+B(`C1NnmMrioy*5>!v*;L~oceGE zrL(lD@v`4 z6wH+A(PW_YR9sr zx6X|z!+*d+Sj11ajm$m*MpU)}1$S7mJo6m@P*E^J35srGg3bDJK)F3@E*vh+cx20+ z%-^i&@AGKEct`ct+aLT@o~Y~s9I;axb67HXMzD|C=Q-1D^ouTqOs!2- z_gzZ~saWfHJ8?l^z?k*B*(YF^I7 z!G}QunaAZ>t+>)4-#!{79FW-nS*ZeKwVe&`0*%ODF3zpT0IcqE@@Q0HBBGS2pt5|- zO2kbycHqf%EysU>th7NM^{3f=CU+Yg3SI|WoiH*$3=YkoL_``X)WWB>o0&Hi5$ryx ziSNzHl$#Nn2(FK;vgx)Qa?$9$H1xITPeG@A@sDPKQ2LWy02le!xC6@!#IH!FPv}R( zXqEsezw`a7EBsGR?{7g~4`?Of+8#E0(?{e+}(w$X{G?IZM# zY$LOV;R6x3F;wCFxj+Mp5ABYDmf2udRWDoEvgsSLVQwv2n?75-cE0}$MszXi#H_Zd zS^P+-{1fqAwySJ~$=lZ7i0P@l3q*hAu!$H<|MibB#_Jo~bCAl3=h}_iASatzyePz} zEgw3HOJ|nT9X)Ep1paWvM8bZ!BGJk}!Sr#=Z)@y>`3?Nza`yd$MgO<#+=scf!9$1* zY;~3gm>l@9mNs{fbb>Arwx??*e|Jf_rt^W!h}bE|4PqLdUOQ9a(dUk4{T`7(Hi9rp z0Vaf>(FY-9hlNp)iH(PO*!yw5n)pu6*xanmToRn_OZ~VEsDD&W=4N=|``v3_iFCbQ zC;!f9!H^lzVr(kuUfTcX5iR^@960q03j5mw`S(!=Hs>>BQ3%2o1A1%T{|oUo3<^3y zA_o@8pQ-9BHCM!XG%p1wWZ{w+ou6)f9Ex*9N>*jQ$af6bxwFZu>_6eot-RH@3>?+2R;?|eBX_1YDT zyv&a+ffXVntXIdPPg3qKKR8%N7flr4#p_5toj+1=o4c_NOp3coCb8~;il^qOn*OT` zFzP+RKmpR>>)2$Qq+%O$a5>@$QUp`*aI&Ues%vV&#iq_Ofq1bdAm|0Pe*s}=K^$Bd z^5*gpSQ^teWG5nY)aiWhhb`Xm4k)DmAl3GPTM#)qPn zDWvu6K;}4|HM%#2a@0c-exjUt_v%w2Ms>icGVdXSYrA3@mH|95n`fsd4xB#!PS_(Y zqjVlm4FC(lOP2$+BE(j5+Dt30yiP-_(MFq@8H^75GvP$&~S8vJSm7NzwfZNzw^rIQ+4>(g*O zlAoA&;mn*b|C6-wiuh~uV_uC~`_^7p8MhImXUzywNE?|#%~UD*8ma6LB??Zw2CfxdW-jEm$RWuHiN zT7;}++Jcb-J*h)$PAe)!2?A123rouARtE;&7{p}Ue~@bVuL*;8wmVCg z`!*5RNP?i@Ow$qUeUgB>aYUkNDYj9KVg%Ed&rz@8NAfRXTmquAsSU?>`a=TlG0Z z#kb^*=U-VhlE;En{`W|jfc6H&UvOeQ_ajUQDnAu0O23ro52%}0_##S3b6=ZSzv7PV zIv+h&7nt9&&g+--?5v&rEsKWA({RcCIMKLwFy(byn#@;bY3KB3Am>gTPqy6Yx5`-M zwnwf>aGer-Mqay=YR&21H(+Evmznm*zM}u9u$K5UMF*1uDOr5+QX?`ND$o3y6-*+P zfr%zCF{{SjMC2Xy_RSXN7MAtmmi=#{uFXE8^9J4fK=6sxRx^-^9!kMc`Du>zuh?3* zDM-+}+ZYw3voXu6f2!W>qp!;78c*evqZ2R7vkw@eIukr~T&23C*PX9e(+l%}5RV3#5 zmR;-82x2)GW99+I+fHKIH#{W|(e`S@ee3ake?qWaidWFE$r>dNS(>)%A`n6eyP zfGEzRpmgK2g!*=x&1aL!uFOKG+Z%^RSgxl(w9Vh^y>g1zTWog#i3nlf>5ve-8z~f0 zICoQBV9OW4tu-PyyC$-wWaz$kdi~m@65Sv6Sq$iUdi0822+GWa)tc-y`_N=nSocqB z(M|>(SoImIOfkxK9S9i~W&^!E`_(Z2qG@eSNlD`L#ZO9^&IL#%8O?xLa~TJ_j!W*R zE}c4Mll!|L_X7p7cq(jEfN0l%*_u}qnC=`i1?uyH*!a&mjhS>w6 zWl~A}g(d@EwL6=VoR4fVmM6$To~zH}f2ppq@vsYfKdQC!Yu9UCq*o8RsCT3nzzkUc zGg8p_0f((|sCzGoAy!3W+0L+G=(YG>rKI6+yuVXIe@~qM{|9D3;eW(@eS049Bg+c; znPh#BFZ|pz$B#yV5J!y-r`?VET9yLRMfKVYl<&Tny@&&yBcg+XL;7tJf}uKsU711Z zHjrQ14VAWB8ogaIL{c|=UBJmGEkBuiXSYS_nNbU?E>lmw3uoTp^GvHthYG%y4wY5^ zW4`UxU->rIAM$M^9ROT5F#%oH#e_Fo$m|GByKa(EUSW0f%e0Kw{+${3rlO-WRJG*y zZ+;r3wXfjz=;~q}&~;}MYST$$ex~+`@~)X!^SuWLUTC&Tm&CS=Ey!S{)oSh=Y8R_* zGXU~g9{B|rmk-no$SqTlti9hb+?3he#d^FNjGTYr5Ue~c^z-S~63k{dYdcA+D2ti9 zQe&X1bYdc2+E8G7tNlLBUS}m@>cqu+nRi-?4}67GZ`R3}N%Aw@U;fVr}EKv zowW3=E7H{#EmR6Rfcf+T%ZyLf|zv+kt+w zSSB3SkD!GkD?zXOTGHpBYOc;wK;U;CUoOsLZnV8sA7sqIuQ3rU7?|8zyOnbvZ93AX zMWA9F>FX1h_DJL}d7mEeGk=Sh*WTTbdVcYX4qC%CB=qWsf$}-%`>HCx&fYH^tyyeD z>*4A>nT;MbSxN{-+On@HJ{aXMDXh$}4?5JzsKO6@`lGMk`|8K`#vk$itv;2ArKprZT#mT@=O4c6!&Vx@# zW8>0U-ilmj3|R=I2TpQ=DA?s?(6SPwOyW}rzv}Lo`V<^BfL`4|0)r3RC7sh=VIxWv z^&1g=Bw{M$)-0MTF~f-38SJ6Zk4I-z&7LBAR_B9skS2*L`<>@Bl}_NWYrts>@+5mF z*QTt`l%pH5g{F_FGXh}=*2ZGHMr|Y;t~m0=%lVtt;BT8x9{4I#_TrnmZ`F-MiB7=Q z0E$9ljsd#HW%w~ixm+8}d@c63!$0%G+6sX!`gb4nf6L;gQvN{dBg1R}{jfhu$ukW` z(l)t*#qDmWKhxX+8#yP^jB(# zDOL{wdsJhdb(w>k;qL0P89V7)JL@dr(RxH|-0|9B?-r>P-XsMQ&%(X#2|tEAT8)&b z>|x1fKy9>B~VN@ae7k4Rb2P`EH!=0>T4o>DoXxu!=dyLm* z5nrxKnn>WT0!pxNn6FEru+L+_+8JTEW+(zxm!?T3%q-K(848?qFcWQu+YQm|(e_B9 zW@zbUv@%8|tf`i_s?(zYx%V~JdlLoe?ke1>^DI#AuWx& zVcM5cy%_3rrMlzL5yjNu{V6t1&s8RGw?ylk`kx{ev~0hn)9Vjl&=Si4)2WU2{LX_> zhAkuX855T5P9T2+#^i0-H&z2=VIITWiwDMApihW<&X5rfq6`XVvG^h`M}DE2Vav%1 zRze?PmeVbpprV|39sLp4b|KV#YZv0V)ZW$BTM#8Suo#V2xOTBT?)^*eO`e|woPRd} zIL&=+G~t7ScgE%df}XtoEY~U5N<)g%xV&K$y^@KHEYry|d9??MV|xy|I#f*-7gs@( z=>qp^U=+n|pBrlr^tvs!X|+fzPCR>QEpzbL?Og3jzVyKd@)RrF(ix%Psns0ndMTo7F(y?`7!FZ_PQ zri(x-?QOzD3~&BayAuuERfrW6+ZZg>Mvcw-?yo^+^OkKFO+Rsk`v*}fmX{BK^U=PTuB(GC!g|7v_!QaJxw z9@8&KYT*L2Ja@=?Qq!_#VE?sQ>fkd~L<$tL5Q(=0k&bb$PZK>{^8oM<4v_T8OSBh5$}uT%tpw-DaVRV49c< z@uby;XYrY*4nmZAOe)rzvEGavC!FxFab(${ZJAh#qTw6ZRy_H!&E8%gMTZu{qX@ko zMGqx+W%scQMJEqkaBh;(yKvlW?bhqM_P16pO-I%d?Oe{2T3k+4v`*N46lPWYNdXJ* zi;=N@nPz9$?Ri(amNl;9OR+OwN3nN+#kqj*XEB;NPq;89k!1nWWDc}6EPBmLRI2+) z-B0MfJz@#HVh=1U?Mn>7Xa_T_TktjdmK|pezhKJn&9Htv16$LJxq=rD{y4mqHWxOw zwT}L1&V=rs{}Av$v!Z4nDcerxf3|Kkb-WJqc2)C|N!(L|twY|2V~QU=NECZx%#`MU zb`wYl?}G_I^aH>7kW_nW=1}g4r>5U%4!~#!PBvT)*ufnuW|WSn;W1w zk)1Pz;d7f+0_@l;Z4hq8|se{v7~Rk+1^L_B2~s(&_JsprI{5Hy}K2zFn0W%ogJNc{R)N|aMl ztATIOz=#k27vGK4$#i&Hm_+dRN;j!b9 zAS;>l?b?$Jxgr1X5xUq8+N``>?wJ&Wq4_zzB9_7IWJcf;0kf8*r~g>bFajWKUk3)CsZ!!zj57yMF8Wm$>s##i;Uh^dK9UuLL|u7^l} z2;qAjf7+_vpSSAe^I8!3{RR?$yZP83!wG?(JSt%8AwP9>11-{i4Nw|rO9WClZ0AZ( zvpW!4A>Ps5`wgrgLwgW}W!b-gAr}sf;vJKa0)z9thljX@jyoNbL=wrb4&K#rANr8i z4E#%ig>TB4Ki=K>_p4*IRe+RBtA{btt z_ov7f_TMPxS5Ng-_s?Er5#wQxZ&PNk#<1^Uehyv=nZUj7zsgJjVvnPEZbYZ+R0MmL zrcc$Td+V)`D)eXqFsG8U)ww7yc}vpTdXOpa8rf*Ob}sS)>vX8vdly)6&EgOh_S?6g z7=Kc``r(0WgXs%MN>WFwQ99EDjpw6d1;}4)2=p)S&YP8vs%br)pk}b`Sf%H}*^15A zvn&~BIXEC*S6-=}BqKHiH$xB59a8KV_+sX5qre#c9#&28m<*ZGW$LT$_AhtfG#$b-6$ToKzq_}CH{ z(TN>cqNGIuRbtu}R55qs(hG}eQCP|O?yH|Xpql2^gQy0ZB;D?_6O_?cx}~bTkB%{& zMlZ(->mIum-2b~V%0r59d(wn;{9k^lB1FT;kF>bO{*>3}U2G()x_y>sWjb-EkXtLu zoDX$gNotKfwIIY_re{UD2Tl0#4yGCZ#9p-f(<_+TEJKt~6QoG9DaBG(3m?vf)JSR5 z)}`HhmUO|xQfZ5tjxNjG2|cy$6Eb89)5Wy&Rhnx=J24fqfQ?IdJNaCa55 zk)t)xl*rG>mc-qJHsvxezR@~bf3AE-+qdENH3zrWIlFBmcFbNgUA`B6o^%mMRUECT z-R+VlridXwBy#YPzWF*)B4khKEoz(C@`1)%d&-Ty0UFF96dDh6>eLNcX58;I>j9e1C zhpo$rly+Q&rKV9rgi}v*KXhXngMF72(J;F4=ql!9fwPnx6QuFi0+RX;;lf8b^F_sz zO*UfOk7-8nmR_%G5_VXYC`ddwA0nVmwBQcIN{pgP{LB!vbH+PPZdSPyDjr45*(c7& z(?#Ri`Ona^J03vK)v&Pz?orGjVCG*;$^%&Zt5d=qVY;rcL$oF88oC<6!g0oKB;U}4 zF2>MgWQCCf)3o(iN7MBoNs$^z(tf4tn8Q0grmawUpOsT?@Ec6-B>~r($hG!$MZTqb z+W_C%H?x*p#nqIsUmJemoYSz`+H8Pv^5>?RC638z#zADb}_WPL2 z!#2m7RRQ?XFMsmFR+9S2W@4cpPdf+DP&I`RS}QPZBf-2lI>&FEG1x$E-!kQACPr($ z>O{JhXee&K*i8JLH-pufk*ZPFCtuXR1ew}O8#H&Er30&SZ zY?Iq;!CZliEl~A!I=!EN``*C876cWpcFjAmH=(=q$;_3?*|pG;Pj<{87e(|Y5yGAM z#C3(|pAUEFB}Ah9aMyq zn0!$B27oAmdZJOvhhkTe?gok*6*r!$Q0#6XopL$BoZkev?L_p!71OzHDXG@1d`mQ|OKc(tpbM$R|${WrHVdp}O{fTU)t%4k%QC-qW|JAJ^K8AEw3 zQ7@$hUO;cE>O~R-G+NYj_RahN*Z0A;=#_w%_i%q=C%Y=rneR;W;eXAiCBVp$Ae?MY zThCTxMzOY`U6W4sC}AA2_Y}!(63yHl9qC+6QzIoP$T z0AQ{T%)g%5d^zv)q!^>iL>oqt#A*41yjR2BYKwV4z6TdnIV^N zX^(uW?c9BTVF#9kJE|E_8I8P|tF=Wnn0ks-t)8V&O|WKIq$xMn*flV#mIE`7)Sf+c zZSG7?$BE~iG`PR3u76L@S&rZz;?dVX@!Qb!pP0iUj;I667E`mBDXEC^M@DNb z$BQ(dzdnk)xY+Ib@Kcl(M90tTWv|hcVQm(CgYACXdALnnjU!x8)~Bnu(bQEh&cer8 zy?Y%R7~~@$pH~ekqX#)bkRKYRSzpE$b7g`{>+lPJ3NN%Ev78r!giWk@o7V}O99tLc zgsFoMjdJic2RbSNSHed!9s_MGZD#R?(|?m3xqXnk6Gjl=?1$(-z*K{j>@jXupCM{+a`Y$(5_rYclP zO97bZEN*hl!k`+k_r$cXAfo)vldTS(RIu>nzn-@R@&{8OtO-<2P)ajE-^6VU0%q>? zI3Qept*!~jyk)??P9eTsGLFs#G9QjIYh5+~kIs_D)OBPGQDDS0Kj99P4~>NIQ)MEY zebYqyzW7x|zqqfl;Yvvapwo{vzU?$r@FMSdzW17{J{jy7t{F4XJEA!gI2xI@)8&Rh z6x;PV`a*Y&B5ia;vibfaQRw~-+t;Bz0)m4U12vu{PBs&I(L*sF+uFAlE||8z3hu&7 zVr=pJHqMx0eX1w@WL+Yhtq>@Y(aAnCdi0FElkeLrD$Dfj$9YJsDs1RctK-e@ zOYc!uyHWk^b6+AY*rWzHRr!tZ#tOXL3MVK<{VVOgeZ7@Yo?v!JTQPHgWWG?Tm*VI+pav zX1_@aCTw^$jZ@k*$d%}njdx50Jq86+*w1`}u1mCTa^88mQ?}}z<`+{QG>)|z^X^@6 z2aKVk%zfknN*w>@M*-U*>_|KAesJi#pxQU_V~?}ATBL8mPqBFCKD`;w)F-$&*i~gB z7}Uwcv3$7QX~iT0Y{!?xvIJUOqm5`0EyBr0lG`33uDo~~vzI*IrVuN%M_#R^^>I8lL@?_GT+6_!Zc0)Rh@NxVM9yA)g#N?;tGRPod;bARQPYlN8qpj)w5wmfP44PtZI9n~Z zzI=zrGnY=D-fLbTtj z4zcDNPoFO~C|^4ET)*ohuo4+j&u2f+*mNp5E?Khuzmz56X$OY=T=H}m$z zu3l5R*u6nsccD{Z=l2c;f2d#?HO8E)8?ud-mHQwLp&6%vbAVoXQXQwtr+o`s|08Zz zd4{`P_KxU{64j$!mQMby*Z1%>zO{8&ZB*HJPGWscD+2)%t_RTTnWn7kKx$O36i#u6 z!Fy_znAJ`G1|xwe(dkC+_HK%0l;-(TXCBw0?HM-%v=ilDK3Ol*9N7L0cHxla#zXmg z28@zSEAgmZms|(xL(SicE3ri2o>P7=chY!9Y8-!|_}T%W+lAgpZ>M0{LIPyWO^owC z9EJWOfyQW-wCOb+V&v))&x$Urmwj~l>A}X9fX#Py3PyZ^{m@IsYI_>%J{OS)4UE8# zowVc*fd+abE4`sXAh84UZ{TYGRx*A2I}fT669xKj;E41N^%wd{pZ0e ztop5B1+;?!d3%uO__bhG&zP-6`pU@SK5UOBw=cONId^Sgi=)7SzV@E^FUKU11PVNh z48&%(k35Rdy8tRYub)Z2j@Eq<0^54JAnaH7Q%PdVhp`_cA}}*{v~q674SOFD-U%$L z2>_ous1Lrhrs#m5$w?iVjQv6nq4cW1-mcfJ^MDPe{O?{w5-}{e%a!kxBrm~ASsfWQus9P?ppF{SF*qWp^@~8#1=6m!x}Im!A*F< zn*E~ysP{mG(JDDWqo8?bHrCy^!5NuHe3xzg0WQ>Usedg&&-C%0g!zl>;ddaw7*cUW zfl>Xtct?So!|I%;?CV7uQRM%{-FHVdwQcL8qKJx!N-t4qDo898l@cq6h=?c=5TX=m zLPS6!ghWw_v8vdvE;y z5C>zB?7i1sYnE@$`F+TBP7>T-9!8W-PD~~hM8IK{ru%umo+1R67_pE5mdI{oZ^@>3 zv4!sq1_BKYRqUpI6w-`|r%|OhS8GG{Xv0KLB(L+;-AAC9HrxC>S1acSrZ!RoFZnl- zzVS__Qw9AYxlH<^cgC(n5HQPfEO#K@Va! zugP5R>dom>V{hJAAL3A5c@|o@>nvCX+-6v|R~4Zv)rhG-Xt}Y5gxC!1r1q9_jLO>r z+7#YbJNbi#*XG-B=&o>iCFi$yS3DZ&&3d&LlS^o9WbPTM#06m1F_T#$O#8|*SW`|< zF}8c0WPZ=wNg~bobhL4old)Po-<1=`^kt84pZ7W_UP~ZOx~3D-6HBuS!X2)KY8^O1 ziE0fE;JtBF%5Ue&pKzUj6<&r7+!N>00X`rJ0!2^3gpb6}cA!V4V;(!EzHRQeu57wwpi!{}nYy!L21bZJwGivn1N~sYaM6w0j%MN~t)t)4Wel1z$Np(Q4 z=k0cK(l~Euw;7@p=#X~Dx4@aOm%e4)M@|uJAQewDAWEPw(D^15S;sM*WkR$$|8MIH z2ABkUH+R)Y=bK7=E-NLmzv5F`G zWH`TJyEV_!PgeAzoU6D}G|PZM8)t`*+~=2E?ze7BvcWZ z7pw$=S*My{d0KjDWQ8aYG72hlEu4y;y=jn=e_OTVqP{}xx%8o`kNqPZIasS5sS4cejbg9U|!Arsk^&wFv% zwgt+YyVX`4P@oCGn6fF8qVz<@Tkx(?D8<2%$@NqNLol|{PoSQfb?y<+(LA*_kG>|+ zaf4fx*b3wAemgr3S#J`xxBh^6Mrb56)$0Vi0m;5XO<-eHm|nR%>eBdOChfYFbapZB zT=-F{q0J=O#WBgD?+kPA{OM$q?QD_#J9GzN0hlfvV8>#fEodH(nZdYyh`yk5rn|5dmg?DFDz zwkPb{XIugWKQGb>%q|np(SL(#WNW!|`9}bHG)MzM;KuMrz~Kqc1lHiXV}Nl|>&u_i zWbFgC7XVClka>kK6rW-v8MNs=F7|V=*NL1MZXpi{8qmU{&Qs>h@xhvjahf~hDOlLV z9+co97I@3NZ*fL<^sz`s&I>n}EQ)8LEW8i7V_${Aw(^7X*`asCGR@27a*M{1)gL%M zq^@Jpjt^4LzYIJ0>6a1j)A_2x1Yy4OkuG0SV>4?2uvVj^hHYYU%VA6pSM2-_pc*<- zO;~_IIu*g)hk@8Y4xWuACBX&~00|nBJnuP1W=H9<4@W>ix=-zy}JMf7>N4_$b3?L8b++9U4av!Ro5l&KZ$O*AY+ z;gQ!soDwU{G7n+21%Xq2hsuOcUG^csefksj5fU0?X2JF%jtFMUc=eL=3P~a za|y0kTy1uO$cG!fu%HY3Hb$bSpvi)s7gIhwj#f{O`|?$-cR`X10WQQ8nAw;>FdGgY zPY~?1RFL`ClRzpx{&n3hto;c78?d*Jfeh#je4(%g{|!_^>zxq8XxI;b4qDCv>#=PG z*dg$Ry`FQcw=VhcRc?mc2uBb$-5oQJe+KH~GZ1Dil<9zAp2yF~E;fpCA{M2eI6A&5 zjWdfphby|W$zDz{V5XS6aO?w9<-U>>LG~`AN$dnJ2U|(vZZ^uEFLU{jjZI}8n5=o4 zKP5HUDE@9C@n2&G@QA?jVFILH>S8jh;kIm3OId=KRdkE{VAe!Th<)Y8c&(0T?4-=x z+gFSP2)?hhltBdtuhx!!04xV(nmp?YnMYygq#?9<X$AQ7kiZA zAUocp+B4SOOnf#Cb+)t^`$jHFy>LFNhjsp}X}89Zxh&X3OmsfSB9LnZ;ne7{bu75) z;59%6xr2m)of*VGAB6G!ll;dYOk}~pQ$HuOQy?>ff7iQOwOC4BZ39?P!e~8}FhMNk zD5!4x94~Gu17$6K_|wm~X(d+I8nZGci?c&R2gRkG1sOykr(v#fP?yDP(EU? zIu1;y>Ow5$3MGdbZauMw%^75id5DGZ=GAtn<>i43rs`aY;Qfg~?aWi0BnK+W-)h{<}EGD@?8 ztKOz_5c3HL%B)C5;i)>w89k#iO7yC*sEVH6q}67o)KlH3=F)=X)~yojdBH1~tpv{X zQeJBl1A!;!KJ3yuiFLrM#q18tnLbcq_w3{y>KVCgDbn~pr{tI{e;s&TZixjkQRf=d z3mm@fw5fN`1oY}o+=sQ4G1?Mz&%bCDJC74yaB{^5QvW62Y>8&Z|8N2I0&cU~Ek zy6KHya{E@4A1Dgu){*%98pf`+zP6sXp0b;uP68%?6nx}ow9SM17x49Qtlcj4(GYlw z%Eb@ghFz!H7Du+0+GxLV?s~pg{k=!Md{}$SRr4~ey3NoR#9vtNJ^jc&>foSku5aT> z571Khr-OaHbQk>abrh}!w)_m1auZvz9T0b!ur#-4zFtuavA@O0UbxM(aByT^P@<{M>1>{RBbcw{SUp2d zsl4tp8$%NY8yCH<0$D<9HQk51HKmJ4S-W@|A7I&Xaoiq8y$+jXj_Cp-Lb z2XI5*2M@hE%dwY$cO#qA&GbaCB@tK!WAodl%3{qd>Nv-hfiFPydN__~WvHEhv{0(i z0JS+eW6qr_8kF3l-S5)#AD>0P;PEA1w9)2oF-G6JQR^>&9SItU7sWaW1`s!uDVaME zH>wKq0m2~;@iJX7WV?kL%QE7DR_&|st$}kvLHo}RM;#gA;mrQfB2`Ei(`t{rpK4u5 zO*u>d984t2q*~5uv1{b1y>dG*Ru7kTM*@sN+y9`uRjF#}XmP5hwnlDIG?6lhry0RO zqqlB zy=&eC5GYyVfD?c4`@LJ?q6`cOdX5t3&%%aL*s&2A?57z(680MV6l}x)__M};8p6Q8 zDZ+e;*}@?bDWaS-v=QqZ@Fd_~D6*dhTZnIgC&}aBoy?(6M{e_BF!j%_L&guYOBPa= z-ekrg1;$PeqG+c-3Gqlb8Fqk24~i^yFE0-y~n z8bX(Od{J|kg<#1}Lg;&e3x71hMaH=+lgGFpSZ>2EtQt-C>Ki%$EA=bD*7`G3xYe-r z*fG6V@RI=W2e8ARis@D!Z_S8|oU5}$pNKM~y>ww>GQnk*7%}7io>}GQe;BI48GoUk zGVASq@`B%uq0(Fz9hbKBY*0D;E;4O%Ilx`VN*sMH=M9_4cX7x*-TWc1f9EAq;n;}F zlX{uYGYF544>G`F`6Zz=NiZ1#W(7);p~HEO_Eifnl?j1`mI%-)3>pQ}={qBtj zeD0^a@8hJuKlSmxc}W@ElI`!SxO5la2G8U7{zO*pJ5JozQ+2}6P{omJPVsVZ&uiHY zCn0PRLBo)9k4!@tSMItdhuK6Ap)b7DI~ut)zjOLX?YlWb;rM$UDQ*vOHD(vLT?fhu z(^7P%9tDXBFUqyWq62S28>$L>o>v(4GO#vsK=!h2qBK4A#F2v!A0GMFIRc)zB!2iV zoq5O{VOgT(nL>jwz)%OaK@R))V53MHj)Dy23TKO&=Ou2n<#$y-AZOa%^ch)H7%8^( z;j1H+yS_mMoMIF5UjV$QCLkln=jk9><*ASAe#7hTbJ8!oLi6^;hu4o9ng8pX3c)V9 zsTz(w$Kx6h@wQwY2Os?7VHFZu@+dNpFM%F$#cNA`#zbEn{#EQ=8KJ_V?vj4 zcxIeA%Xcu$Y4@e#d_`nmjb5#W?`-o}zt<>gKH+%v+v))ulS9Kd-?SpyzGRsBNHoTF z%$2t7?D{h0?ivBk(2_)NX|RL1VQh)*njhf+G<@hF(D$9dralAa?|36SFPUo(!kHx> zOmzZU&V3L#O0ErSSM2;M_p!nC4w;?seFs5oeIU2AMy;RQ4*mpxhnyvo`lgpzGvHMX z-OSV@iN0*92I*Ic&;Z|`tjD&xZX1U-$2p7$soPk~nI0V@gWg&MsHpN{?I$%EVfW6` z`NDGIQJ26f$tQsZ96aFi({*jtU)gD)d;IdFjq@J`H&w|dY;F2iW_Lt`EpkjLC>GQj zu2p$>?jGf;yuX6lcF+EO%6HNBf+*t@C(UTmg%WR3^$^p55Wz_HeDSJvh$f4$B|J2X zM|PDatoMpYa(FB(b9IHmzKe2+HhPRaPAX-_yjMH z9Y}LJB)?5ph;YRAVUqK+>|g$M06M%hg8M#0%wqEm3LKz9?tVi;MjtjxM;9jbjEO|_ z?KC^T>!sPIgXfQ25wl&X>l54dmlMK{D5epE3#=J}kqN{kj{+MP*9d;a9mk#JlDPdn z4ByudW%lu(rRP~HZf~(^jtC{TB7jfcvOz;vrVRO4o|BGhBiF=~`?tJk3>hwI zMid8U=j4*D-t^lyxQXaht2z$|qsiTe;K4YS_Q7d`$V8JSR=a)%Jh5~^3bxco{lp3X z%ar1WU=p_Ep!t?t8L=*7I{MdhaBN62>QN;^KkJUGwK{U_eKhXV zH}dzr6)SOT^WxL{8{|G&SfrV5??2P%e%PW?($VYCyJKnI(3RZwG6}jy%_ZWsMk(|G zI{a>loiF8f$?=ztm|YfpmKH{SsON=|{m$!)pM)HjqbWxeC*3&{D*QN_Z;6qHEDcd+ z^8e$7{g)AnK5I9(AD>+dq|A>~=W6i5WgD1wAmc|e6d9&?>Xd}JIWP-$d9mW?*D4!y zZjt-4T@W!1=e+$e_rV~~2ulDpQW>oyK!Z=l(-JSW%^Kw7wy3509q|h{Y%3_a5`I3$vgkHx-$V?29l`qI??6CTW1Y*W_ z5{PIL%NXt0TH?dH!QKttnitCFTx@$yWtn&z+l{{4*)i1J@cEbNqb_R_(hglHDk};- zt-JoHi?XGH9Qq!}%M@t%iK+n{6Dm6K;a46}u9%~Sj8HpQl$l;)oK!^-SCjNTZGjSZ zk@3+)*&fI_S*EuyGnD7%O25N`p)mMPLIYrf7sP#oJiyY7r@A+HFpksPhH567UNOB4 zvO>y>`d_Q7PKk)XoSmgrX3IKWb*pNUQmZzce}DW$#+$VZiaA`?|7W%Y#&Vq&&((!>IzIYE_O8? zkNCKicKd$PMAVudANk2$_*bfbRrA~94>{n(L1OMSVPS0`mk%=Y-;~y5e~#gfV!6XR z!9(4^);>XLaH+5bx1tO zd6Q2^pnv5#v#8!SqE8!E?Z80Rvl=LF>!G5ie3ofRU3cSp*V5~g{U81_TEhhQKa{b3 zmMUZS8viv_`p18)?^3zt|2@srgV<%qdInmK1#9d<=mD_!g-H!o=L$of1(Y&(eeRFPf)1=?Rl6mKQH@^QqrOvV5zp7 zhA69q1#4=ZG%cDvJO2K!KKs|-wYl|(|0k9ml0#<4AuFLQp;;tHHX2MHeLrS_X9RIx z!t6On2A19)mI%7&J^O~p_i_)q?Ae1ha+J$H&4_&Sa`$_KeR4cJwTdeXraHF_g0rxO zTWht2Mh@ZbW5Q1ZnKUvZM8Kd@{ga`{I4i*N{a2uIl(zp6ugvU_flwf~H?**=^jQ&M z_`$T=0p&t^-|mENDWd5wgb(RhXCni$`SkdN_ev26EegAD@DtBwtAx zj5&GQ(OD;T{xcf4>YACSibRTdyB~Ts=cfL+d7`C{bQKy@ICv*PAe4t8V;LH380eER zl~{NSw7#-kVV{>Q3t=569>j<55!u*DX}S?3{u3ZhH`6+rfxgIjvWd)#ko&ygB{{sx-7-@ zHzaL3%Ev1e{5jP;?6R*gzastm)F-;zrCu4OpuMNVPSp~evyCP)KHz^C=LM9C_7lnU zKnjF3X+Uic8zcu?Nqw4-tPF z)D>#7YC(6nC-(tfPm&X5cCDu<$;3l znH;?!G_W&~94W=SAel?c2JF32gTy?(8ib#Y0yx3o9@mnqVe7^qU5h#~20Z{KVFq*~ zvMuyRkO_tvw{#1|-TlSI)ksgRZ#0)1?#hUVd!VF@V(p^#AI=OzX?&doj#w4_G4(s% zN*{l8Jv|ZFAZa)wm#IWGJTM6HclDT50@cn*1E$vT>$I-1ATk#)ma_$dL9s4E{J7?&fSnv|qOh+Q1 zy$|2=4%FLB&3@&f*TE>Sej}4VXarJlikUs=LQyLI{ak_en!nRDfmQ#$tHy>Xm42(6&a8W?uMgjnrE3!Zg z8g2}%md2u7K~n_^0)n%8826A~`&;77G|XFY5}nHR+YY)$YScjH$8zP*rp`Z|)`C2>Yo#$idVhjfQYA{FKPG0A z?LYn1Kx7v4yK;TgEcyS^`bC0Hn}4e&2V9}w3$!Ei5PcP67hTaG%}2K<9qxavQ%Wh^ z*5VQ7-9Jn{5rSwLiikego5?SsnYn7{!nK1uvHhI8I)~XpG~`4S1t!2G0^8t`uG<6L zs>9pXlH)GCO|HZOyWVh0%nOc~p zabAa7flG#pN1iP_vse^fuThWR_cUamWa6VK7k3bE#d(%)o;eB0A>6;-FqHPtH>;*v z-K}xWtkSS<|JCmCXZP;;tsraw#Y!T>i`MAR)*K+?u(b2_Q=ze5_h$<{E!UB$q9NZ_ zVmgpJqd)q*R!$%Ik=iqX@cZ7^DgMrckDD{yfh=a4JP<-@AXY#YZni4*d_xFxKX$_= z#WOIU!dRXm1)hWrW~223nvFs2Pzq~}pP8IS9;0xL=4-76oWe}uMcsp9l#(s9M8+{1 zY_gDw?9X21!5C|hDCxlSr%{--Hm3fD)3vyY$0WaLI zYCS~C1%39h*>>K-l~erSytAkk^EOMNhkc8VofM+kGlsI6x2b|b-j>ODoL&IizXDd~*^CfcEwKGaPeu+GEYrEA9<8}x3D!$8pASDoH-{^-BWeX%R5f$Ax zvYW5tLeuST6o-^Vo|=x1Hj}fD_-t*~*Y!XyR_FI~`3dVhg!m>T$leGW_Obl2%?-#@ zEq5_BnDuN=rff2%ohVVF|C((>OaBLloCYTb3k!0Ilx*Bx-fpz3e)5scru3ZnqycJy z8|vAC%Bz!VNn{W%>kOmBs~w{a_SMG{_?()N{ox^Fv+YH5j@~)GYJW9^hI{?Kxj z`aou%T=<7(ec60_XIjcYqrVN)ldl3abR$DbbP{-5GOo{Fg;q-QnaJ$b*gW6T?-b(W z@;!$q&rkO8lPRV=w35)B)y*1&OgOWyuutP^xC%_s!4PdpL+0bW_0G_sZ*hJ5dyKPu zp0o^!x>enHy^Htrq+Iqjy%uoepkh(C9p*q_$sZ3jMj;s>3-A{j#NPv=Guc;Z z)vxIS85wAOI)p?PQg&hMsU&OZuXozzv9U8lRMXe$%6JhA+kdXm>r&f;YqG9CkB~u9 zJ;#oNk%%lI4;*JlaPgaI=)GTgwt^@K5B}fa0rdw}z}%ET&rwwYmG$c_jV{xz9;+k= zi?yrH=zMrvY2g$a73OXUT^_qY%qxE7X?)Kag)IegmaDzp_=$@q#Oa8muQK(n0vJsV zFv#>wfzUbdSSih8Q)tjwZ(s#qpu2B4pJZ@!b|A18YN}|R5f+c+V z{k+WX4_RYRLbD@tq%-%rHk(83;qZ)_E|0&8M0pecxc`NzC8yydwalJVN*stSGMX%> zLN}t%G{KyvLh$@(mw^TqMq@>S9Mg`PZJkH`LW#WUwx(Gn@m5|wS=?@8=Fa!;)Fyrs zTz`fL)sT$D*w{Sg-~f@iJ34h>d>@6L?4-ljRANRMkCzyCE>7KkE z8l1%qg|C0AlALu=-Wnc$jI{-2L8KWGg)pr|e%L@#G>jKEka76B%noM9FYG-9SwLvj zo|OH9#s$?bwVdwUq+8<~43V#&p4f6(f18fA?pEM>ngSHPe*s*{3dM*jqRVeZKzYjqrmVg4=9< z8rik{W%Ti9TlOaq)c`D8@c~f`_ymqrsXK5}a2p!tp0Q6F!3oz0VfmFGMzd~B&?UKx(?3^t-d zo^yq;@EM_cAn@M|GaVq$gNC`zJxET@&>|~vTbURT@8xd5bZkkU%KBUuP#RKY;B*87J~H zNylYT8lM*k*?d+|2-qr6@u4#?bA2alT zh@oX^dW>V7S7jjm1ifj1>R7ZAdT#{OiSOqC%BI=@ALu&7c%DWqIrytU%Vo*&*_LYw z?P7zbmzvP?wlMqqG@Xl+Is)v2tz~-_zd>ggrqlfLb*%#fM)%C&6(N#MAIziEJT=2? zjHhw*^;h>i-l%)zaXq9z_#}d$=&!OJC8sRhn!5F7+6u7&zqLAp5f`*}QJ@=`qNMh+ zEi~7A&aWJ!Pn~bCt`m}S^D~fI(VMAkbY5Rk?$HqmwRr$tt+uWKgUtSI5tlSb7OU+% zH>^FJ+qvyt`9Q}Pe+)<$%P$cD>7Ew2Ia{(3C{&cT-JXv;pUBG?3FJP;y?9Sq_e2Xw zi=Vw`s2$6A+*k&qJcV5&FK7@~fp?$?zMvWui~?*I@v?q4z{~E(gNsULP=iMoGDNw) zHDC2=u(o!HZ-Rnsz#RchC+!0s37Qj+(uF z^JYJaXJcC%_M<-bYanRdwZ{E`QPOAy-h%tH{qm>0p~J7xA|^3*)6_sdU6AcLwM1Fy zQ(Rh-`-&~&YuE=A7xQA>Igl62O@O?(53=mBJ$sFddiZ7x4`gc0lM? z9$9elWhT4HDVdeEXCMfJD}~Ja?59&=bR*~z4ZNKvP0_pHumx5n=j7G)$C!SxpZ}u{j&BFEK zu>WV4pN{O7Wq5J$-;976tug-?Mmtd69uu9gv2_?ge6*^ho21?5r|U-R#dg2DbChpe zXz(EMiqTyJFWPRg#8a67Wgenf!i@_-i3d6h6|^u?Ek=G7_R@TDt>VouwF5kwa4;H< zopvE^0zw{b#Bbr|;En$b5Lq}s&j!== zrY;Bc5F0z+K~?qz4LX|d*m10K&BJ?{H#-lO&%2kyXa!|p-0O&zFiVl!3dxF@n4t;^ zu+P#k#pw? zNxdl79>bDS%hPLb&9B^Ku_P?LJkhIlrF4R{`@UX5p%l{xV|B zatf}iv7GK$rbL^K&P=JgJ;0KS+E#Q|G0gIW{RZK8vRYCdk1&9tMGQpvV0Qa|fbbLl z6W6ovCuVW{4(GmVgT{##%KC>q0cF8l~w(j_> znDVLn*iD|$5c5VHMuh2pxg=!pZ0QCs@3KIo`|cAGB5Ng1$n8|F5eE$)!==b&9-;uq zN-iC&zcAE^)}p!H^g~*O6d#~G1DiVX{Ik*W{Dxc9ILx=A&i{n*pZvqUm;O8F(-F?? zgscQ~1%P`D$(F_PX(^=u6bxHeML8g|{r$LGnh} z%}|z#1Ru8}L#kdNAbg$6QIFB$#CKFQK{+L&?XkmAn3qG%eB$SuLNp8J<$$;j96%NyOkS*sa!CGKb8^;O&`>jvWA@j5?*Ew2>4;*VVA{}nC_sgU zrpXnaBJ~L#W!bak$k(~m%~x}07>@PX*vF~GuEW*dt_R1QN9#aT9S-QyZ-aJH>{rLd zrWMaB9O;w4SlwRznU+!F$Y-PVK{qGL0@ghHVjOCldNtQr|5u)p^J5WU{1=jsdHQPH z8(EPqY1Z<*IJ=nH@`B{$=((8?Gf_I39Amz$n_B4Ldq7_c9w z7QD6>sW*TMdL^Bcy6VF zPENu3y+i;Wb=FXjoKxTGMu~r0ECfWr)R?3}T+eYv7+ojkFC>|bt#XGApx3J{~Fl$_w4j}E>Ky-z5BFbep)8?vEVIeZ2h=6_-rky}( zCjGGGSUZhue)c+Dnv?m~rz;6sY->8b@2c2C2>kc$53yWo#u<<*s6Re)uAC5HCCenz zR}FaGoydW#bAZQI=cCZF*U%xF4pz65YGOWiHic`a4*GMFJf?Us@4>Nw4J4AKv9`E- z=7>dk+?57=FV3! z&$&(H%#Ipj=M<$TOttt|o}i+dau-Jzw5;8mitb2GM%}QazD%#ilL&+T^H=Nqt;JS7 zbfyBaM|c(o%prG>{mE;%!Z}_TIVOPu3rJW`3y;|}Pd1kbh|acfkqW%i)fWRPXV@#Q z(C7QzY6vdb^tdF@zkruO9sj3l6(^J{H0I4$)fjfz=YeUT)$Hq3AEC za2?@nQ6|WJFLKf`YAB=$2=guCHBWrbtW1z^`PQP?d{LxJ+CWjyKGzS!?i~yxm&e1K?A2TGh>sBem@IBp;SyFO0)b=hHhdgkmQnN?7v|+>_I{=16bG=A70W_q& zM1z)6(=UP7FAOYCkZzqwgHoa^n#yWbqxaT{!3Q5y{E1Hh3bB$8FxMNrbYZ=i#0)eQ+!lIgma&*d%wz1^k*7s{}(gyx`$Q9?@X~go)dfsSp{SPwYb*xT}aTQ5TP(7UQDulSQo( zin(zO*zBUCyun9K4HuRpb2bJ3mJNFUKiOaBv@j(Pry}lYEp*FS13BiWZ zw+ti`0zCu{m~}J;ppWteCzkm-4$&3f&N(s0H>(l4hF0!1!#D7ux(^aQ?fw~N@iSlP zIb%8C09a{EoRq z%#ypr;ha?<^5ntIgJ$z(h!aY5GLS9{^eEyn+faNAB-4_$4JBE<*w?$8Y{ciMCFNnE zsp;U7-twWOO>KPya(ixOK5qEhrO%PNm2QdqGy#3gM{F1*+pD567*D&wdBAyHB4AI2 z3ZPOM2GKPXPIO7~H&$_vwny!2^R-VV5^Vj3`Rm>u)Z4JeWcMFtVJWmUE7;v(#zeCC zxOGrEoZ2`sPfM(^(rz!&dxb)lTglL-?rd+GnAJv}F9>gM{v>WSb~5zTq+De5o}ua? zlUrMB?B4(xxERoVJ;#6nw$W8=$u^^^sSRT>2`lJ&_jRNco=S`rU2to_zPfDDYvf_! zne&n=9)0qCfUU#yi=F`>#w@^gr`1>V!XSb0VeHW?n-`bc(;aU2RTqa-Py>Ky73Tk24f#a6hp|uYqykDjF+iEYJ-p zj{M0aJE=&UuSs(nLhn+T;S;_sdOtZ1xHRmtE&VS5)Sqotl;A`y1t);g03Amo6yjQx zcg^XRbRtEJr5zCG@bI|EIKNrmOPm;OA4LwWD3|B0jY+C`BdGT5(d1X2RuvO_OEJ z<h$-?omcLkJA2Huv+(Az z{VkrwS**rxv}!#tGwx@uZHZ1CAzd_0HtKH03YHtiN=?;2^~NWu!bb$z?qn{OqMXP* z1P&sM7Hx{KoB<8i00+Py{gr1^D)+^V5nJt7p1H0C?UNXAkZV9Gc!ayT4mJolNoGL& zYzO({6M^hwgoVHc7!9P~Wc$%sj6Js8%*=*UhK9<%y@&|N+wkEm&nkGa9R9i~{`U(L zqPg3Tv$T4-9kD>FC+ifA_fwbNOCd(dohEZ-Cd+;*d*o>ufCi?i1qY-o^^Jp5>V_I5 z<(0-gokw$KWHj!$9THt1>+f6}XjSc$gI0>F_nnupneWa*%{36_R09vPGU%%!iGnF$ES?b%!625>dFE*9xm z9$_|uiWjzUI!x&1Hf@aaz5b98<)x~Wqh0)V-sb$xnn-UCf~=s$p-Zgl$G3^MQ#9f= zIo%d*c!(uygcMPzP9&EENZ6`u%23M$@ZD z4GO)fS0AtLPQBZq?c7A9G(kWeY$F$pB$h{kn%NGx!n!i=U&>DJb&kb46SN3(nn|d6 z5m@EgE3baJGFregpDWcZ9WhUg?Xgp_#b0=&OTw!fD3WJf$|Er z9n5|I$|LR2tx*Hxv+TEIYMKNzH+NJrA`Mgtj=SINNV}iC`3TR3$Qw%G|JgRa%U;zG zraTc8{b($TVldh#5k;!r-|v8tDr?;%ThzKoLNQv>E8@6+9`Ebj`&aNuuN}WUvM2)1 zJIs`&5B??sUWFB9rc{}Bho=G&@Z+z@7II2MmJRDB1zjg}F10?({G1T4^fBuC6w4gi zrH7CB(vV!3n9l02X=s$L!H)YMDv^e|Oej3|O&t2ncvxJTf3~hKPABj0vkFR0|1=AF z%~%H}2n&v=!f4K*bO}P)W!+*se{yAl;6L02@tY=d5I6->zzznO!(Z{kGg)uudvEMIpDZd_f7@bGldGZQeBZ6t%V@{_ z8&6K3PiZjycu~TOkv-hpC+|_5^mJTD2e8eEflFRX25ipQDnWp<&=}bc?L}pQ8P4F! z@e_OI5~IZ}BTs6#-4za`x&F$-oi6_? zPbk`+rG=^M23lHRUgC{Y5&nLOnw$G=H(Ak0M>|xAzU)5b50yY_D$=>LWDmWOp-Y1W zcucKEDGdse!XUcM%2%_RJ>sF2A|i}D)23~wo(Jsgm2-Q!`_0QcZ=Un;2oI8%xtyPD zjP`?pT=a3!0wOpG*^C`s6UY_7e)b7m-okYQ@-`r45r(d^wAXFD@*51DVd&`Pynhjf z?#U|JA1Quno8QK@hlFdExzsdhCn(Iwa3aty$*2Vql{i5jKuY$ZkknhLFCAlR!qAYb zudULfiYjD->Q&|ZSI09lL_NZfNQN2iE{s1@5!3#uTN7Hf)lKr2 z(3=PAR$tzE@f=T;*Ro|++8}-X>p_oSnnS|#Tuptl8*3MLtjhfxsKe)zo)unxquM>} zlj`uZMgB=g7(lB3!h5uY{SlhZ!j|s2h_65S%Ky>?hu-p-=62)cmVa1R8jiaOjODRS zs37;DC^ExdIf(ws<64%7ROudR=%-KSUp}S2VN0RjA(P8b#^%Q>YA+=6=CG_B=re3= z(3ZO0%DNjvuYT=&6GnVsVc?~0GN=beOb!z!ooVpOSbH#G()*$Iws#U6kyZ z>q0g&mvuVl-tI0A>eXH2+(}$+9RWAz1Hjjd^aG8R&oSccoh@46234oT0bLE~D>2lb z&5VU+nJYKVpRn-1oV}?hD(kS#qCVL&JG8fLrp-Kmj~L=9qQ7hUI5O&q-4iY>Ttni^ zmC?e(sR^?(kqp&~(Xkm;aLi;z;9pD#tU$xaGB>{5o^;HHgE$`#qQ!SO8!lD>@d~%G2>mi!7co=F>OtaI*_L`e@ zqa8mD7Z(>jwFwrBa21d53R?GkrM@E1hS(-xBHcjP2*~k9No5L93b#@I_85`@NE7an@MZs^)L9QNA*c;-q>W7 zas6}F!n5Kp^NHgJOWSZ8t)_dQ~!({0{{QZD8k(-G1ZX! zw;(hVL{Nfu8L;s0J(S3NM+KsD)eBwoVm1eTduOZw&FmEWJg^y~`%MkBq%51ELK_a? zI^h&BMh}EsxD8(YJLnP)03Q2n?jO~waf>=RWSeO%9lCnm@bKA{t14#78$m1LviwkU z47zEBi!LCGwm(f6gx^Z>fPFgeiK^5v&Dk^R&jAOQGgR!qDUc%g5imbs9$<~iIXA{F+ncRWA}8- zZ77cD-9Kb@$@b=2?eQwCE3#8?U}U16b-)=RUcyI3Y_S}Ry_KG5UcQEK8!2Bb-=A)8 zzuhjJ*ZPFlM)-!k<@&rUH|GCOWEGi2P9n^1(zMzIdVx7LpcLo)BvvWJ2e;Ks>t^-4 z09_M>#j-zYTSq)vfCjXY#u;|kuw7KrK%n2#&>C#OwdS-g-ZY7mCPJ%)f?w|}xctjt z@Gy3n*@xqqbBtXe%f_NLnIZNx_e;$B!TKpNvKc1>!jHOba-lV{HLuB2tu*;Q&c)T@ zv*;Gy5HHD@D(`=W91BKEVn<(y4V{l6(W0Y3W;?Z@eQ0mU)e;#|8=t;rzLG{5TI!C~ zDcT2j8{Fx)sZ9G&zFwGjL>LGB8L6P;0G$^^?q8E>H)|^K&V|L6uI;Qd;S?3u{VIxZ zfydET+~h(6AKn;B4O$+^TKNp%JA1hNM7q)-HfWJAHxQpwU7UgHsfe|ObLBs&#=Cx` z8t&(p+n18?#o@e$vf$Txz8X!phJS*3-v>@ph^>Iy9y$1`FbRbpbYwyXr45e6+keUx z6vo<&ZTXUw>I%<~9P~L>UbuSgwi(N0!lXQFUuTb=ogIDZ-3`))tJ?#hTf26@ynE+4 z|6ZT~r!)i!!DkZLTYLs!VI_*R7Akr2K*nf-EWJG+nS|0K%}Mmd^^e84>%4E?xw$Dx zsrcUZm13XrD&<~SSuJek-x(WJ>7B*;e^?>DNX<_+` z)7^>fR@GUKUtSK~^!ge(<_j{^zb~GFBmQYBwQ)-}D6ATmjbIDGsEWa}5E=9l<|@{n zKh@!MglT3Kpi~B* z#D%!1o3)wCl@{MS>*KS=*7k;qZRmt2w&)%H6myUzj4jsz{e`Q$m~&KOHCfuC(+Qb< zD)7|FHl&(Dr|pjR<{G0|>bQ{KNL?7?x$=!eiGSjj-+{t9AsuXY7C$P5;@Ma(xEa+! z(Vn{pRVAfZqRx(AXh9f8f5;$b$65EA;iRtj;GBAzhz`&$I4M>;1yC^3iIiD?fB&3Y z40Uykd}gpD%J^84+spUDpa*X&=)qez@62%G1QQ1mV0nBM#mF#3w%6neYU5U>>+qPf zv9GfaFLZUKVcsQ$0B5=Ae%ph6TYt&e&o3scg_yLYk+}TQtWBsCJ)pa)$1+2uR&-Yr zukK+ydUcRx+tQ;;RgbaDh~IUh|CnDVuiu&*H++9juD2~k;JYA#WxD~H7C&0iWdQ1r z5aI$whGW^0j(b!Qg5we{QAvWT1l6>M6?MT@W^xfhkORg0YOS4}m%)5x8XN$*TmypQ zu*n)qpM4cRt7cMs5GLZ-4{41tYFD{xlojF}{lHF0$TOwd;I?bnyMr4F$CTRtoAES4 z9lf7PqJ@*V>zwIZYVyfjOAc-H_Zb-7p4I-UV^4cC)mY}qI=L!_<|?UYD~;aw2LLJZ zWf3*Ce=Wx!BgBkh^wDt>9llhk&?|q+)W(y)m|2p%Tvhr_4MetgzB`xUYCEt^3#uhG z-{p^<{1}*%EIgHJZc%KYH{^_0tGx78Gak*?zW4FVHdKLmq8DD?K=D;@hu7B#M&t6B z>L&>%$V--)te=?d|5PkQ3AZ^dbG&-k>Ud$e*?UOaIX{}*uCmnlKEE+-JJIH16UQ*aRU?v|3hG{aTQ zTR`X1IukXleC_zkx5u(XZw}y|{6Fr#JRZuv?OUrtO_C%r6{S+N*a|akNXn!_)~SRf zRJM`ftc0vngixlElx?zSo$Mhg`##2!of$GtX6Eeux$gIVo}%l%ujlz(@AJN&_n+(f zpg@(W8hN@tGv_ts#V(UU z#io5X_oQ9hdC^v2fF@Iv8X*`Ydj9L5)Pd*=f33~+*Q(mbzrDwL?EM6CvDtnwiE|JR zDU#Td(%?8uhBYuX(Cdy@jH=8cJ=^5_370}2cQKBLC(sgl^0o9}YnJH6Hi>Vot4mED)E#VH<(B0|y;#$1^Py8J zg&BU2YL52Wh@r%G#5P964??TctK6crzIsZf0OC)K)5R4QoA2#k<n;Ux6V3fPgWAKwb|FI{`4K}?lRlijHe|H;2am(lcXuMV5eJ?B zxlYij8&d;6n(YVY`l%c#w1GzBzJAwL2b`$6g&4v!a%@My5+iW&U;4>3sTTL5;9b~}X*%iw`JF^Iz-qq3 znq4;hHEW2*v>4d2*UD9s@G5|=URjxt;ViI8h| zz74K!tG^*rjl(aHlhmx+Z@S^( zRLF5btB(5#G)U$tsIC@5G{~?Ln16lc;r#{$K5x`i~t~sLu zK|PT8k6^ZoBBOyoeJ4>9d3p&Lbh7({xfO16JJcra|NScVeyA%MJ#onc6oM(FBHHYu z!O*Wzp)$7jld2f_w$WVW4ueN>GZN)UzV_S*IkN%krN#nd%fNmgm2ALB6Mz~ON0Est zSz0GCmA+^7_?h)L$&n5Ma?)XYQG2q`fgZ<@608JdOKAq1dJcmG;ewnH0isWr++<1{ z+M|g#Gs09p=4rpZU_x_`mQF9&&y7|{OTQYXvfi^wJ;*fpUYiU{<6CPdt5sX2$}vpz z%&U|WFTm<7;mwRAn=TjZPX{IJX`3)~>hdIT_ggdIX*xJv z7RMdq1r2@j7AgeKmE0skoR{WD}Pl9;}rDPT)5+La~b^V z@Idou=tY}u(!B@1KX`ao5^t`!W5v3`@VQeAKYduSA0-) zn>kQsq(8;1yC?aIRxBA|@6jn%9eU+K`G&jU*RC&hcsc_WQ=8qo!|#D9xR_2QZvGUO z6uF8U9;k|X4V!XAQFmV7(^fIw`6_bfvcdYNs$Q={ZtmsLXkX;{5Vae8)UPk0qEfCu z{$dBHnO@L?Zq{%-Gw=*yu)n;A?dk#I&RXa?B*qbC%6S#23={~az+gTQ$82{NL6(P~ z57Em{59*e>8+-a_^D!Y!ht0~GwuL%36v;1>^!xV2Xt%@!U)ms~wa!8~YSY74DZ0^j zLP+Nt??^2idYZQ-_WeHc_y&kcolAE%Z$e-r-Y>UD^U- z##+b{=L4-u1WazCMS5d8UVw1ffy&02HE?Dm#`N7wFK4-$O&CIb_Z43y)ApVnofjW-N3sajz;mxaGW;Ql{dG8jouG%h5A^q&Z6*K!@ zAG0+fl$XjiLkOQmH`JcZL5 z4t=fI72ejuD;I6`R?e5L>WUlf=^EvyH%8IXZF0pMI~x6M9LYlVsy2-3e$0;S=p)jt zNnS}D-qV8n9+_t?KQEZ`Lb^)eu<9{ng$t8!{5)_C&(hLTa-`5HSO~LKBCz>Eor(@Lk~bmVy^89rqV<2cuNo zR|+=xjfrE=_*II@DEjDx9rf<)T(R}MS4V|PM@LI@6fFZk^0kN3>c-mNgtai$?%{b? zuWJ0e+G`#rE4Mx{`qpex^8VJ=1D=!jTMsMKU@+IbG(WnQWmbKfV=zAiCGWapdJe_rR`tH8H zQpU#k#9A>M!kS&`8}G#X@q)r~$va^+o`svme!l_IRg}WqOPiX42KQrB{GrZUR5qUv z5*6#13-LM*SxbP7EZjcY_w0RL`JM4ye;lTPT6(sjO z&+|-{SBerX+>mTM3Va)^vF(eG(Gj| z&wXZ$KbSH#9aC^M&(0!UE0k;XD`Qf|Ugqc>EmLq{g%?qRs3O=dFvODK14gd4$Cc2$ zv8Z!&atXBR+HI>MaTj`DXou%O_-(bw_KG-sTYL51Cu-E4PGT>D54XKs<}2}tsf4Wb zVz_maN20pNTjGqFW=ZyM;qtOzxRqTV_NXL_)wxsYt=sCid~42Pw_mszxOK4iXvzUa z!?trkc16{lDZ~nfZP+-Eda}@Wxi!Q172gB(X@!xHm+Aq<2(S+A?cuPd+fTb~a=on- zKVJ4*b}?n;w{72cd+$X(fAi9h2Uy?&VNZ|_1Iqd&q6W1CZ~b~urd`H!4~VMa@DMau zfmSQVPV9LLf+`a`8**NzA2m~z#clIJ`iBQ*XNr+qqd$0@!6UL~X@V@Mgw&v{gjix( z{Kh|cY%wI@XP(0!Ui$6ep;SO^Nn1k@J{9J6(eBm3rm(B{hKGEa5!X;hQOEuyr^Yy~ zsE;`bX!);%aFo2Dp~u#jm6cRt^>^up?%ryh@H*Nie0$_=`NlxCImUiFI>m=8Na4KC zKqDu>#9$$N1N0S`Sd~A>KzseB`DEhQG9bhGqkCtLXnus^O~5}7ufsC*z>FcRg768y z0QDe(1e&6k><9>eaqsk3uh(6zTm9+jhGZLR@IE^VcqSK6DArk)T&u= z$plQLnvzysVxG3eo-lv=U9u~F*vJn%REpC-nwd@(0p>uor$`$4n}cTi!7{O1Kho{1v< zPMCS+paw0!F4WO+^bZvQGAfiYj;ilAI7v9EgB>+GbR#QQb$?J;R!*!`u7iqQ@q%-l zchHm@FY_rQiIhJkCl--r&^M8{Hz-`5Ga#m%2g6uGApHJ&)7XJjR)UdQFem~L!iT>a z2Dmh^3-8FKA3Voxe(=cd(fq*^40?k;H$2MF-!-Tc-SuE=V1AJwHZ_$xH<7v=+lw9w z2bv9EmZ3PpIFN~h-4FAvap9*R{q!MtXJd<~-xnPN!WQR%?c#zEA#fN#-GpjQ^@mVS zHQpW`BsysXJ)(jgjcQ;kwO)@lEO2^qVC)9!v$6PcUg06~JZsctNFq3FPZPJ2HftB0 zU-bT+sGaGdRh0o~sxDFHRd2YC|8W9Qt$33He$m16g}NcEW-k{V)QP4y!Hp_X!P+mi z_6UM|KL4oz)#>5}UWMxq3ukJtuTVKBJE2a4Ib0YcD0SMg-+{lW860c;6e9|JZou7ir-W6e>s zlK7dM*RY&NW^{FQiy?k)(r*cR0yU-W1r03rLHIyz@R7Wqe5oD75IZ8kc zyfrA4ZmKa+)Wde>a^AkoeDsx-K8Kxm-CKQdc{aW|hP8tmfsyt26fFvS0hw+x%RA+b zd)8<;xlJj>HQIE9DP6IyGG>LJ@)G5W{_O<;+}GgL+B~)ZW^w{FxG4kJ;JgGre0Q!K z(i)%^;OhSLS+*XfS{%sGguX2{QGVYUy38~7BV#gLF3m@7f5K^L8>2x*N`BOl1>ZG# z-f0-T*ENg#*$0r~|K=~BD9PS}RFKoAOHqL|QO=eg3XglP4ukCHMfL%aAj7Vky&G#? za5^d`)DXE~E_$oHZ@8j{I`4c;u)k9y=xuSv8^{I3Y3%8|{XQi3u7zDI zY+OrX@C6U&C#kl#a32lSR%`yor7~&2rFO}2tFg0oLHR`ivc};j^Bo5YTdn1stjCTF z#yQhI?T-d8{)AI>piuXk!pmUCu918%UW>7TI8H0vpAizdVMHSac$_qc-ZEoJY7_#d#AKz@U_8= z0XHuKin9(?d|NIcPXTb5B&1T=I?v)cm%m;gALW$c6h+VWi7V{{JP66n_YM>ak2iq0 z^0SmeV#Cgh+oM}Ou1>wrT=TZLfv(^C;N>D8kt{NJ1&{S8ObjRjc9h$s6X zaTzxl7`Y#sA0s9km27CUQ8+)T=h}4IgW7(>)QqU!Fw3K-&Yj5K-1Ri*utEwO>g8@}*G$mB~$=WLvW24pikwOU-PJIDbh{lgCO_wYSLvN!F6w7O%^E0?qS*qZ2C8HcZDh_bJojZu*YIs z-CwpsY1h_ry|sOE_Zge)Wy$Yv{fd?JH|x2@DJrTag4 ztWm&SuF`oyw-+6Fcr8-lQzY^-*!8UJsatZbIu*KElCO1|G|U=$kUcQO>_JxY#(UIJ zGw?pD#~5wKund#mEC=>=7YT4;x2-ZRZsnHd-7sk@T)N(&G-1!Dln+}xKd0Xsc{jE# zuW||xZ}Ayv0L)i)a3rTW>tKH7?IJhqTI+(1(QN&?vAb)VDpro}Pkr*ZmaJcAVbThWu8ER8XVA-d)sHPEz z_gb}gp`T_R5?C!WauTF6^8kiYzp7gUP0vF&$W+ITCAnARJC23SNJ!X%LIZ~mFWazd z=gIVtlTU@4-X)K4JM?Ou-Oswc`YTTQUzZs(q3nx8K&Jt+5=WJyMGJsSFO(#zGo|TD z#l!yTOj^+Og53qrTm+nTD&EvwdR=uu+g&(8bC-%rVRl!zUqwTqw zj-&RhJFo)~|G|O@oz!7y4H2tI?yk1mP#ou#hb2hxCp3++A}&vMX9P@2wS+9+vE8By zo&6jTmWtPb)t6HxQ`;bMS?#oqjBuH`x@ipVQ!Zq8?RUd@3TvJ z8hj++-l2a{fGVR~Bw1JnwG1aP)H*(@1zw~XyPRTcAG}KXIJt*^c#@``=Fl!5c3?(# zd$-{Elv{cge2QTy>|@ABh%ax|Zj1;w65t|^uz$Bws!iLI43ckC>+*2x6_?+nnx(wA zjMOk#x#`CH#ftmo55Kq#F;0*KICxlyLUiT&sai4Z@k}r!?Xik@BCWPSjF44oVA+4h zRB=)xrJkDF{~kNsS~F_1!Th7a622F@9&vD07kMK`9kz`p9H94?=Hou(WN_2et-GJ0 zaTz(;?=G*PZF14A5VW6ui10@KdEJdU!@cJrh?J1C&?Dov%q&DyPLHAg)}C@L66KpG zok)nEb#+WK&;eTSW9>Ncva0)rmu*v%mk3U4Cknx(_$yI*D)2IXQkJ#N3MpDGSX-trJ*Nz@gw6>-kSDlSAULye*t2U z`QRZjS8B09!)+O$g?<=4_d&wmE8U*2*!A@w)S6|}`|0aoFZIc`wMqx7iua+Fbe3br zD4~cDXjotHkOsAR?Ri&|OYOS+h!>uaK*X5N=?5Z1MXuX&HC0G$tfDv4RSC@BRiIfk%&{{@uB~BY;ZI$v9+LM0e)~9LR9h-tNt(0iUjs$Nb zj{rzznW)dH96*j2u8FtVxGeD@Y+jOMmg{oq&DGfEgTbvQq|R(Qlt3J+JQ;9r`M+}i zGwc$x4cw;%i#*CAsiS&e18t!i#Y1dZKd0Wv(udJ>5{}uP|7NI3>A*2tbNfxK>6P~V zCMH$sn=hw4Up?|%S;w;oyAran6=OYPjE{t~wLLzzT6wDK_K^5YhohI|d_lGkMdo|I z+kNVoZtDJzVHDwpoEm{#)htcls>BG*BNN!taro+0aJ6XnJ2$~VtjR#1nHj;6>~nIw9x$KCmwCIPP#RXvJ1uO`} z3CYZ1q|ctKq-91w7g{9G2->HA(rK-B+_;ogk)!pc3E#7^!W+smw@8HsYYXa01%H)F z*SaqJuZBAu|1sQA{%6A-GHjQV51~R0WShy!<`c;r)v=pj4Nhf9AxEi32@`nM5Fd>J z>I2^uL!w60#qpKJn>}B*-dmwYpopok$Ods0cJ|i%c$-OUNHR621jAP&y!e!nV8i}$h;a@HfMQ<(EgU_En*kDfU+x@mruNswXc}(y zQ>(Rsc3C(;n292(%q55i9b%Z`5hFreIl0vZSsBYd&B3DiJ(LMFw*8TfW#o8%^hk$g z8&|e$Os2|EsjZAOffK-GIXAX>3%v3K{h#7;ATW!X-A$db8^Ur(_??6%)(hDE4M&{& zntGMyMPBT&^uhow4eRfeFQUgV@Z~H|y%yP0yIIT9+-cL-B;P!9DShfd6Hm9&w(0bn z+_)~<9cr43KW9rUA%$v*TWQ^YzV2eKq6o4&O=~poV*}@{NY#v~i|wUmPfb}jPCb<& z3QZgt$vX_t`S*B^2tcvJqWM8CMPcuUitV7HP5=i)0R8iE&MxW*Gz#S2X)qV5oy?=i zRZLgmZY5=S|z{XyvL%?=$?1)VZk-DGddamDZ{kg|Z zszL!>laEXdI6El!unYzYK8B_15DWl+e%*K*lnT)$G6Ad#We};@%9gB8EfeEqqj^^A z{;T3!6!fZ1ZR}$mj}KB^YxO&yAx*IbE*P2JJ{zD!`_R^G675#%pL5{N=&w0cus479tu)ToOaDry6LG3p0zq$sOrPU zV&-%({-QwLpC02=?1E>0hvvO3Sh2G}*yT6UOh22x#Q*#!As++@F(?gzX(4kN@fI7h zkZK?rj6#Bx*oEBOl*A&Z8LFNm`memw+KYNBdpjV=rU6Uu0dpKa-1T@)mJ=G$Og8AE zexUrpr(-4*-zFE<{DV&?3AH#2!MFe5(}};Dc=#Id=>*yiw`=Ik@#*Gk6%Uh^Y#MIH zXr0TFpAN|C4@DZA^7BX{o8!t+OR(nW1i~{YdAqWzM~572b*-yC%;FVKXE}qi^Y61O ztN*ySni;=d-2Z=0JX(d>#9{*iiv>fo46}woDvN$dJzHa_8VO>mr? zTzZ_lTI>wPMy0i>wqI{ygjx{Anr{9z0m<7Y+2fOE0cR3`9~Efa{{?fIz>WB@4Urle zKcYmmVnRWA5KCO8G%SbH|@E9dgNLB&XKAA5OyU3bbE(}xK!1d|1quUm9qx7px#qL<(L z1V2kG##Ejkb+wCyf(%-29dzdwYk9;Tjc^$mEPN6kN}Xx%-!rAW=71#i^1D)vVM=Z>n0 zPa$bZA<3X8GwOJi z=eod)%BKQ;J)b0>xt}$eh_h7;pyVLTZl*9s*-#B{e@>uhj20$*4h~Ja9cbT|Qpqv= zM;xC+wpL=cT!n;G=a8*7T3a{><9{GqQfD}UD*&=ZdZ>8l>FVEw@gB{&Fm5nMi!Z)y z1;Tinbt`3#79X~TaJywo-bA8c%;cHvEsFbg=iY7A(UAE~7#}DqKg61vvC!dEA|qM7 z-kq$*tk3k&b3G)AIrrHq1#bMeyj^Wk&APDdIrXZle40YXNG;eXJU>hOZ)Q|ZEk7lP zqi%9*u>E5qptx=TMM>P>X+)cT^8dU)*DSwDNt#e^J!;X*fPkX6p$vHW2_Gla$BK<4DPe+Br#BMYBWuZ;r_-;e(5JW zDE+?>p8rQG5wa9VjhhG%)ln3}2ev8)9f~7yDEu}UVegvL4cOG=w$Bmfb%nUy$FG=O z3=cblG0O{JPcOJ@Q@vz?0u)h_3JyM!a~zEM7SUFpeql&Bv@$W>FkQttJ?nA#>$QU` zPd_NBklwsxGV3kn6$so5?6bN`^64!-)~z^>R_BoMq>a6sU3nEF2_x^g4{z|+2M}0h zvR~-3+s7jt-{iM(c6P+(TK%1u^4F|P_y5~t2P4{r>e%b(mb#v-kw+BHK3I<_#5OR= zZ%kh~nh2%JZKjE5W|%u1u#c2FlDXl^_4P|fKU8cMr+~SiCNTFSh|JCXxH0*=tymr@ zaonuYFsQjHb;iSDWFoF+-R`&@Lj-Bj!v3wv;Dyd$1UTYg$DuGGq%?Xle3~98bl%gH z(R=2akiI1LNlsG89VM%4~l0t=C_F^I*ED88iGDRLzObEo1p`5^) zHsmYxmT})IuKeWmL;p1nc2qDMw7-MNn$7(CcW?M%4u_N_$ zM4ebem)$(cM?f=OWg~O^&cmUC1xsc zlr6mmZ8P1uE_3gIH73H%ZCTu`j_c-OKYuN^pXMHwJSWvlY|2-^S#mdHJi` z*=}>r6pUG`r@wh!nqXi#_6UK}B{xz|NAnMv$rNy(649!MOz$^29I@^iKDh0X`O!Yz zj~{pY8imz}q&nlh`9mElau?yxAPOET_yPzO z1*XfxZcH5a5oa5{oJqU)y~Fjp*f?KHdgk)6)`Oq61<2&uahA6#@vL5c^G~s& zFlb(RLy-Yn$^oJmEy{h3?BN`3!fbcli1h{B8tC0P7VPC7#agBkUeBywTaob*t!y$S zx~b_ad0|=5LtTb|)fo-YoCcy;J=l(=->*|kr2`GbcjV&6npNbei=)zyy%fvy?^w1j z@80iVLU_|}*6AbvmKM?05ylCjb+$ImG&3EHh&QK3c+=l{Q!|K}Ud9e?d^F*qYuT=u zY2VWFLvUc;?(Zs{at}JtzQuwq4*-h`R-^o4`LKO=)(8!B@z%p_Ok4?eqsKNH0kjQE z3U<{8BKdEMfr5DE%Wt>h?>u;(d!k40`0?ZF=Z~wa>*?`0rCDPcnz_#K4P*^W>aO8e zDtabiDqUDZms<-{P7_A9ZHdi#PY^d^ocN%U_f1RG_i}HFv=ED)!%g;B1M`-F8Q|%W zYW8B}vk0`>W8?N1mjr@&c_%s=y_OJ;t2;%u%}FC{HFn!vBpR6WF)bqIczEBW{+2lQ zS&s&Cs!}nfxr#1bKJJa?LlzOvmEa|89U~BNbYNyitJc*mXk*bv=l<>{B@*9D;M z4magjejtAR&-~=!yfhW+24oBXY@Hn6gw$XpxnZhDx^Hx@WI6?QP<-VF&P6;|{ zWrx|k3NX=9O)QOee)w@j%Tg-jLgx-<4QFjn38Kg#m244KcGxu`%O{G9e~-I<`iSDE*e>%xKuaUGh4fBpr$A@H*RJburED989@ zhGL*fRNN2f__@YSY-W6Wbt6j(R=LtgO@EL3QdRU9@5`J={YoNd>i-HGQyA#Vaq;@?&d*{l%^7@77 zLVB%G7=SU+r8z6I(Ir&NksFxUY6WCxil~J z?!;8D)v*1-f^jB|KDS251sKAdCeh*o*qC0CE+fZ#L?O&y(Z{YaY~soHBGWB9Q#M3M z_40T)Pbqx+w(s-70f$O5Q#dh}x;tw+vwg;6TU?o60e*DoQrm2atLr6QBa_fQ)whF~ z8DpW(Mw9zNEjkan{_i8^X5s&dpw`bb>ffY!uDm6X1V}LCJfy)!Qts<1C_n57_~#u!8%!Qv2txeNeutXIoiGZnm+nqA#X-8>c^d`QW{Q z`+I9c!B}h2^Q3L{)a#VH9?Q6X96Xa+N=^wcHnk}~geq&RxnHoZ_B(#n5u4Y9suG#_ zK*dHktKfrX{8r9#yT&43Do(GU>{H(}z`9NG1h=?_hJwsNDiPj=EzCd9F=Kpw>)M50 zM>s|=vVN4D5UaVVY1X1NzhqiH%lM@1mWV4R4=goEyTtz-<5F{20M9LG2lV`v1wMcN zRZmb`mUL_0Lu3JzA?C4#sMZLj%ex;#1gR;V?$IamYGf;~l6yn-yu~-%T7L6U*(!HY zvn2qWHZL|?^#`-xzDPnMr8XU0D!}Z&^tx4QO=(V%zU`YkyZR!YbluWY8>S_g#I?HP zXjw`M+HE#$EwfHdgB81vRv0DMkuyphZgprz4GY^}X|u-LWRB+Y{XzXiaOk4ryz zVy=L#lf0z>O9gU=e$eDM3c?>ggIwtv z@=b@lAz`W&#rJmRBb3*8`bRrQ?D`9Yvs(^Tbc?wzm(IyvT5azTs`$l!D_QmO&Dk_C zXQBi39%$dVCyu9WnPypVWg>-;_3Dfbg4izZuqnl~hNh7ottbGS7kY-mN(a(7@c_0hM z`jJ`=bc=A-Ngv~q^RTg;)vz$#)T-#KJB2NGww@ws_`15i?DPlPagA;Jcg*ne9h$;m z#P;8JSPdk0W?Wg~Q;xH)#%4{XHGWmfkzN={r|6AsLmxe>h+6_m1tOl4Mlok!CUa&Iz^Cg&Gyy=F zOt7C_Tnf?Ea1)p}FAEHQYXsPZPySD{;GOOF2DFsj28d8S=;#mm$@D=BUN`19_J%aa z0g~1=@XoTKhtS{tM&8dKrogY@D8PRlVH%L$+y2f>bcezCj zKW;}`uqLp$&k^U;g$hH zHt%}+z(p&O`z5&z$=_e-Qf}vK84cP|toPK1;LZcqCz0}-hdDw;&EPoR{owhUN&rlb zB_NUOd*=MJiL$6a*(mzFE?x!%rr-P#`VULTe!m{g3z|$Yb;e4QRf?UN1gE;J3J~EO zilHy-!QZYNf*wt&0~#x54+)k*amA$Xf`kDhhZur+j0K%EbJivin{&j#plmMUV@xX(D^7B6u0s)4D5HsgU$nJn*)lG@E1J%cN~ z9?Td&n#P^%$6f*1Amhw46p+V8!Wk-E23}5NesvagBwzb%UZ7=^l7pzy5_iE3k3Yur zZrU+iKa={2&P~}ET^Yw{&61)pHI1DoF_+_n&k(I~f>S2yVG=j{SVG?#W0gFN@u5ba zjknhhxp(|mj^j4IZ5`mnRfCxfxd{yU@BSuvf5QWs>0s|8&{!Q`3xHg80eq0*Rvej` z>(;$bIxsPV|J8+bHZ|Q0ExXoUQXseWX0cY0Ty;l&+`@Y{TwQrU`RoS`*-*{I%=?jz zx7-j9t15>5x-W$c&Q4X?t@_Ul2w$FtWmrz1Y%)kQ-Do{Tir?{9{fYL^{-plzzr{m- z4AAHJd9NjKZVOD*3D|AnAv=yC)J1v_-lkV+RC(qYS>wnfVo!LnJ zSy_Z~gW_ATVeV8IO@YYHW~3V81^eB^S0a0cgH1b!rcVUNwuCOxSYme6`Mw}J$JKmN z!V?75-vrjGB@snI8}~ZKtKjukD&)32bwvrEDYQ8AobldQIa{XeexJy=+N;pWNzI0J z29@A?&IPewuJ(e<+hp+5Z71R987X0&WC^&bzj<4eX{q!n`qLZCt8{<=Z)=GZp)caHQU2FR*YN_WDO+P?50W7;cvV!l(E()UFpw5jsVlHp_Do8=_;((Kc9UA{dcez@*$BWtD_!ZDpAaLtc(0kSqa3d2;3bB59k zZQLz>Q~BHOjqb;Gb+@bScE;dV`Vyzk)p}_(jqNC_)&Dx^rsitoCjbAOPhP+oqW>nW zzvHNN*R+g# zt~hu88|BdL_wrO<@ix^wn(rISbyw*<-W1+l&F)qjH~ccUhBTfww6*AHal*`_lDT;i zr$7u@pUbrHxrY&_5%^Etn>O|A?tHY}-@@^O`c3Dp*?Y@+Q+X2UM`pr3r+tjRA26s2 zub%a|Ix8U?8C#t3tFgB90);ZG-1%bFY^QO?>4#jzjl1+ zpIkUs$dg;^o@1 z?cnkfk4>-|y^8dpNn(?q8gw{va9M1|b8YcdN%wb)OZEUSVMH4i>+9)bkr$*-6s6st z=qH8G#p-sx>U zOHuBoH)6ndp87{}_yu&v#!-XNl7eLf14BkS-Ug|v&ye}pXr1P=FXV>OS3%!XewZUg zL7?xj`!g6QdOH#itxC9c5{zX!W!WG2w(F)IZ`oreTCc?LQojWL62|u0IhVeS8NI~5 zR9o4&7TWp@^n+P!5k=@4jaT*Hr9?tOQ}J{f!Qe!LU3GpE>(x6I<0JAhToe1f>R^fT zWjBM~=~44;Qrk4046@NHg_N}hNkU=VzVgqhEw0@Jt^uL z`+36-!&iGQ1g}#+eAfevw*JP|mod#^!KFqsJ7ZoBODJ>wFd{Ze9%2p4W9e;4`ZC(S z@(EwXN@Q&#Pal7>eWLe~YDux}qj2TRsMw!xf#l#1o}aVRqu0o2;=Y)H$i`5$vIv(R z+G=MEhWay#BWoLE4x2tvgf=-w}d9G=pJSHQb9d79E*uc?-MQq~KxBFXztW|F`BazA=3Al!B^vVui(ccW!u1fb}ZGD1kYXn*C zGSvST_=PUjc=t6fDL;tf;y7!POoz%dt{3w@aP7)o*1Z%cW({|k%&(GRd5%W{JbL5wD zm`QH!VQtF*=`RIofy9YNx@hZLINRX}w#q88;(}F;Lb!X~SfN*}8#ZEj>h}Bh;|KSj zIJ;r@T)8CTJ~+c za75~XRLi%rmG&JU$p@S;!b~(hZZwwZ2}a+aaKLccJpxg@Y09!Lh^!bB-_m+oo^?D- zF*x_y!7zbfVt9vymWqRECYdRT@WsArJ`!t~@1@v&V7;+~C597{pNC^qW$Wo}HpK}{%o&ZMO=~{!|CT9KERe=6qc=S4$ zV?g^x#@)v(Bj^v8DgljN#uMwbPK_-oEmw=`D!0!Zp{@URUG<41eA_@mMj>w3cXaC8 zS5fdbO18r5$b66C0w4cKrkzBx%A#%eOOj6}4Ih1JKP?<{HQ^d}xW%S2s^!4g&|fS) zhtqyKM$L?0&JouJ^;mt73tCI?WG!i;UM2AnjDT)tZC&?R+#5o2W2M_FiM~Z4+Mb^t zUFbABT(%#~YHMaiyuK_x8fNxwvIy`40d|&4FZV7$4V#I<=X%Ch;a;^Dch#&Oa@H4N zR9(7CyAr9r!9u`j#it{x%|}k{TGQNW(?{8WfC<_)$W{VHm)T!}f+a;pGLnZQOGm;Z z3(^uf%3qR`$CITl*PfQIH9b%zxo=y9uT-#B5@~}+H7(tzWCaJ!3-JH0FzO$m!3;gU)4!)V9oN$K0WExr zjI!sPPF@rTd#ta$KIRm4Avqb%Z)FSZW?DpD)7mstlJn69U`T=Z70{*ewiQPhq@Jd` zn2p5a(UYKfZZ-1or?fT?iQrq(6u-LKQF6}vKDlH?T5>Bu@i1j|(r(07Jw4qUKEFy0njl6RwwKZdU#{7KZ~|} zJBd-J4~Nie{5r+oukYNP(Xb`YQzxiKJ6m#kS2Q6fd&$j*+v4dOCbuaI3m_RLR-H>N zP>_uRMWPjJJ#5%5^3^V~U;TZ9dU~35-Trmfw!MeKVDX2cyS=o|9#K~QbB7L7x=s7b zw}bcTPLM7lOC-swv_Z|DtO-US=>gG{zGtHvR;MvfCAQ{zoUYA@!$BP}B)uay9tA$i zTV2ATkSLHnxbpb*P!|QCqI55BO_>{&*95LB^N@~g`(~?h;$+ z7xS^m0irUt>ji>h@Dq13;zkZK5>7LU3*}MtwjF!6{-NBfao1^0fRt=sA$p&)^g#tO zgIYw+aw$~t&#k$SefN`eZ(D0y#qKp@Yl;jN))3zm?+sEN3E0QCZsVVN^vu6n^Z)r* zHinrO65bnpqQ3i<#56Ynh}(f7@+RUw^BBTwJgf<2$ag3n{!;9(eOID(+v80olID}q z7rqZ*B9m@K#6Q8fDY%}$4cv+Eo+b^a8(tQ^6{Z#<64&1QSZ{wtc@RHR*Pzg#cJ9l+ z(BT>?aR*UuDjDSY5hU)tMj(Qz6T=GO#$;fZaSUM>_Abue=tVs>ej*|ht!5_b-^yPM zWC}{{_ z8;BRCq`#3HPh3_LW-FhMY1LyZ=SCh}YZ-mD*H_Zvf&Y%>cs~!YSsJ9Q%YfP~Q@TWu z$`bJd3T*3OtHYtG=B8#e{W{9G0A~Z6Q}1}kcgvC9-|WdrI0kM72nzRxiRZXU*sH$e zWAIM)Nm%k&W+wc|K?u46LnV>d&$PyR$K3ER-WItdHgx;r#N!{|i0x`SgbKh!HWmnb z&>;RfM)v(lKz+|_%yVbtfJ%d!3crXWq!k_7b*(Ywnb;XOm5+AmY?%vTg2XUC<`e$0 zD_dA1$6ApZbo%LOUyuDTn{^U?25l-h2;ayQc|CLaf_MH4{44LOvlp5cU7@WiO&_|m zIkM%M-rB2QomEBImyv4fI*$3JF5ErZ`gD7VYa$VDB=|_iii`{LACFs*k4#>H@vwZ9jN&07jeb2h_UJ6P6Od zxZabHr*;X2MbJk8X#j@Z;CWI_DrsgHjav==K{(gG@_ce`8SK()L1^_;8!p0yn60U)B}hEB4!tE$Yvt za)dzzWNype&)Er|e$|eAspat0V|EHbZ#c&q5YcwROEiD$G22anwhD<_?{IrcOY;`R z?uz%nF;lriHEtA8FP6Cgb2`N_g-hRhd;${;BBRf`st*)O@GzxN-Q10?mQUe0gS1fT zpo+XF9jCqW2E{55METMMHyzuQaPxaFfT48p%`zoQ$R_v_Q?e)A8|=Gz5WNg11iKX% zs5#XIr9A(9<;2)xQ!kCRTUBOOAFqtqukqv}k7{ilt0JB233Ww!Y~^NyO;>Vlc6BV@ z+L(ZAW}BE+_w)8#dR3e#^-acY&;CmOgHnMlV=K?esO;T;&^BScNG8{_U=LxkXY46R zkuZBa8jw{@suv&bj@}BNX4L7`*`-sL=lM^xn4G+4Trn2YCl#q>?%S)sbLmAscu9}X zh)@EILsrK0bZFAEinQ4^UJ{$Q8MXyGVI2L_#`D3x9DaKzEAj98jp`08&6{sJOL@*v z>?#LVIPngU{SKju$bopq1zgLq9@@yU1cHkmQpJG$E#RbX>=K+nV=Y17_Rx;+AMIad zsTi7ZAGc}rZ;OfeBFI0=!(9PH|CTIBm4N~;X9WH%s4ItuK&>KGyf1Fp3@JUdz{a|m({xY7m)d__z5)<_jWiED%2AXaC}G` zDZB;^wralDRTmy6U!IeSCQ{gop^6HRuUM9<91?cTX$qj`3x4D(isty6BRhe;-@>Te zq4qwBLk`hqJzj+NM5tP$J*UvH!QR1fibBHnN8Dum$lDvmD<+q2X;qLqu<#>+u4KxCgG{jfc$p)~LG-t}eM0zN*x6k+7d1}n}>WNQ4O<*JfQV_imj zt3tUiXWyj+TugiBl@zzAtKY6}=(2d2eeOfwZG$3eCg`*Rjd5M3Tz6*{TWn5&C{xoj z-JX|#H3A(%YZsx@GK8SnPW2~OXS|irSAxzTb97)g;?gcsT6x%UU6fMVG7b^eea^9h zZMW4Ih%*(VBfamsxLC4AUCpz^ z_zWP72@?9B#k5T}kfw*wtm$4N%N(=-M^Ib<D1jyoppo}BVD#^3K2$nMh^H0h zJnmecn)<#mtP(%+#A&CIidA+iF-2y_?v$~z?&q29T|#%wj?7c$p2GUlgj9JM=Jdua zCJ;ULP5N%XnqaRTrQ4)nli#WLEOCdKmhn|-zULu#aO*6{V|!&gbmae1I)#oeV@ zF}ppD?M_?^4(uUE9#)_r^}|e;LJ2iSLH--g(Jx~h{y1x&LVoLYmY-)EjiuK5yZOhh zf4izZ|`UOJ7<**Oig|ms9kawUf2}=(nza3_gmrY@PSOzSk zM*p}7DT{*o=wr9C4AwK{KNxQaJFxYLw}o}vGdP=pVx586?AsnSP?kMsPE1H5j>*?k zo+MX75h1EI>5tW%Wtc=d^_W4|T=&c4Rf}qOXm=lzdZKqpbe|U65-K#pc7>wXf_4Lx zLLEi1uMku;7%rYuZ_a_GBsb-2vmT5m^%{DUo|xZco#;ERq>0VH!dB$tK3_dKfXgXZ zNj#bdXEDr+u)-PWRn;*jV6(ycjp?&$RhHT!*_lC>cY~H2@`tLfHi&i2`c>h)7Q@Fe zW#G$eyf&iBAn#gJZ8}ZJdhpFv5f^8ByQZ-HR|;>XykDJCB~fu^uYSwcF};Jj-+tAi z68MMEI9ja~Kd~k0kJ~Vx>?c%rrQ4moPkQx;b6%eH=V6tr#5wHPLqaxCTs7Mc4iqcC2 z1Qdj*h**HA^cv|30!r^8R4IW3G%QHj_houemnhtPd<1Ahfpfdm%_}sbdXF8;B|jdTSMr!QJ}5I$%OhTSv^w0fmw)a4lO|j{%DLF3 zSYsyW{#2YT=VocqEvBvMl9j0_IOPIeze<8w1&G&8CU&&3G!vE@Gn3-`Mz0-=&-F6A z;b0lK3zFaK;B)9(^Bd$0oPfn4rKi#;$Ioen^%@qU*8?c=M)Vcd{sQ-jv!Zi%f{ds< zR6eeU{IJTf{vFg{79s~9#aR!#o(1Rh+7j+O14qy;jA+9?*M)9cX{L;K^CT>o6*Bi91om5a<{?sAqn5RD0yk*2j1LpAV10=ufLCpuM2 zPd1O;+o(An72JM(IPmOmYiVG=8Fs?JiV1IC5Xerb972^rZpl@$H)j*H@vTkY#%SW| zM2E|(4vLvwCL!_&mFNiaTdf*YXzB(!C|-sP zmV7QfMH~1%$JOY?8teM-rVpLXNneV7<0~+?-zj75F6D=230F}E2>y8<{zw*RTR`oY*Wn{X*$V_jEg8HiIcmU*A(kuT2i&m?#hlMy= zpffm$IG6&xZvY7saSl*}T{#5kHkRcpum=H#U5kcyCk7$cV-47^IXt+Iaw*u;f!1u? z{w+(AVxC4@YB-ZaU!V9)>8+ZJ#GP!%aHGOO-!s!=8~KekV-hXph*+8e)lH@VEGGys zUeVDvXQ&#Gw2#Wswy)skSnt>Jm@JOZRIN&{A#s0H{V2PKX(nQ2$iH1jr2#6?XNdr@ z0PkVb@YJnraJ8K%Qp=TMa7ANsVNYM+<1K{oZh^;4nk zvj&%vosJd781OCM>bvYT9E#IQ${|ItFia!YB!}6sulOh#72151=;w<$dHJu~FXsmj zNNvxljgV>gT@`ba7idaF04w_dEbH)Ba#!797@|>7E^@Gf=WwIlC=t1PfTdPQH+~l6 z;3^R(*;Ad)lPKJX*_4}ZW-li6@X75FG)>Pm5-mcyOzc)0Zmz@kBI*c2xujsEFkCmx zK4R5Ys*~n|@ppwpORi$Zc3YuUTfIP=Mm@4I>T!ewQ=t|rNSxm0Ff1rJ=vag3k*x6Z zN*~7aD1?5s6|PBib{2i}q`BOi4ec4c7y~0iVD>xXjz+oDUV8Q$c(P z?AdJ4-IZpjW_rizsFK5i-y)#mRs;qQm}XEHsgMDifRx3x$!wwVMPV;we7LqcBTHC| zvHIcq+BQ283zc10vPw^Ae%KyME(t%)rK?g2(axfKg~0#xo5RSt%>a}MI9q^(nj?fY zX~Xgj5jOikM`PWzCj|tr3u-S^U+vk}P{&&u*YuhA-mblAld9RlDuyrn84EqE((8W$ zK0?DYLKBBAssz!4OqgIrckP|Ht`dUjndw&V>XlO z!LUR@Zzqx)dz!YMI3yH?5c*2q2wibT zZXo4}I%iBW3M5A~$5`)aizncF*6*i^E}mM$H(|E<)bBEg73|NYs6l;JDpW^g#sg#_ z?;mv4fiwd=jiEoebd4 z|E`|&nspIYqhKO?G*g_jj1NXM!q}#uzJ^ zWX7tdrYKttn}}My3m#3~ka+I)mFuy4$+DuAskqaoeBv4hMLuCKoUS_7ntM=b0w>X$ zrL^4)dDNWo_@drH#*P8CwsnpjMflrj9;_nmV#7JY@xsD34WjUr&?`8n+A6r!`xRN; zSuAd1>ZJ$SIedSTNzb;e~QSVlgKjZFu*?yqx%s;OaSwsZCqd453E1X~s z5YsZ;%dfy#;?{bF>g;HooH;YkN)D=^DxH6x;kT-fbOFj8XG`NMCH}lcwA*J->Hb6q@}=7dmf4;D_d_k$JTTi0?)qLcl>Q)NXCHBa{ooeI6gaN? z(90qr)*`_7>EM?PdF3}bd5%-5?SB95j%218%eg@KcuW0O`g`L!tpShF1NMF2H0HEe zo0)?|YC3Zdr)dJXl69~n)01_w5N>}06Aty#ntH1*n)3Pt1{^WVd#lYOp?~kCeNA)x z=4#1=xrLI%i&G2|)q?I(Yqycsg53-6^W^sd=Cl+r{AJi!nzP+`oxP9zM)zekO zXCvv#)eO4y^V#i)?)!)l7J4z{`}YvD^6B+i`w(o~&N?BM3W;fa9ir(WfS@#7075pkdM- z^4m_vELDq+sUR#{wbGv}W6+S>1#sc^ES#F3PBs1d0-HAO>(h(ic8NVe1UPx+m0jT? zubo$&minSO%$W2HP>}DV!QR1dt-99M-^ga?Z^NGMws@Xs7xou#Zwd6b=RVl{{e%Da zuRaX~n(wa>>PHviy39zd#?2xCNVNA4F0<>1#d(k^8G)P#=>ShLL2b8EZJFdo4je-o zT=N`qge^`LF;`~{V>Ell8}egHU&Pe|ss%TP_w})AHblU*r3_WpvLEQG4WnSE=I|t; zUL?r#HW372(scgGD`lyu{+dxBI`6Heo3n2gtp^qq=G;gdNYnc5q_5Fd;8v{2=o%8x zcK{{+fg6nL{$-14V}R~f`a`1B>BrM$oxu;Y8kO6voDa_C2>qMyNj&rSFRC_4YPSjD zV8QHN3;2Zxjrx_Z_y&@Zl{> z{zSRzJ9_UzHqIcxs^2(W zlJT%4m$rfZh~+?As5m(>XZWHItKJ!%nC;^IaquX??cB$NeERm1jRJ}v=N>7&5SAOr zU|i-~M2T@6+kfz1n^&0SFCtqk$$<>4vEmp@m??ql0<8ty7VN1`+#a}Kur5-AB*fyQ zH-}ey`;}*HcfM;AVK}l|bZM-^InvHP(s1v-{NJW+RY12g`xDBA+`~Oc3?rQ9Otf-Y%{`>my(L$)TclWIU@oxP)nXqs$#b{0EB7&p_lf9}MXE z%E;`pOjvUSScYR2S{SRvCI*0u!@Ag!RZf1<=UbqKw6a!7RvW~`yeUfNRx+&d|F*KG zm~`$05`j3@8bxeuXUyw%kBWO)SMT3-;c

    %hW7(e1A?8j*HVorWNP{_8BniQihcE zv40QOWcLQ#u9Q(=isUBSY0g{f=6?*qwRDf3(%VneL%rE>-i+i*i00Y&9*G3JDe6Cz zBuo7{{55pMutg;liGCaWnAR|i4^x*`1mPxkHiWfrh$uL5-MYs4WmhA{|LT-lX!)n> z9q-e5p6obXk>dS(zZ+Gvmb##fb@qqmIt--ob67Jxy>6b5-$67Bs2LY zk~E%7ETO1p=+9bsH1Yst^*pVAKX5gok4O$g_3he`!jBaQ2B;cLdy9= zOk<5rhAGcVZ_}*D$K`T5cm_>F$ce`>n5CE|aJ%%8n0a2mwBt6h_7j70~r%l^ok~wi0=Ht=6 z9pqROuNhsb&ilA(M4s0zra9*mf)^BmRB~Bj zI`{L$rIkG~)cwf|UXRs&Gx@mAcopgtr(f%NI!$zpJ)sYL%Yp`yA6)F`*VHG(WNj{+ zZ~}4${Z|xnZS}huMGA;l?6D_zX3FV!elnMI7n#D8Jg4oYybL} zm;%HRS~c{|8!d&Rl><}PsG3CcKonz6H^4eTXl(`_u0i*pX#jh?A1AU)rpxUfqS{yy zIpA56v%M7315Vi?eh_jf+E*y0EOF|g?Bxv8R{)jA%M#{)S z^=VscYZ;0iH~0|lPrxngpmkQMfY9Jdb_R$Yu_f0UQ!tSzW7b%3KT&b48rG4snK7@Z z;<{$X1_GSlmscknPbd85y!fY5!A77|Fsw}24WJ$nD)|0usY5G{x3ln+>E8pL>W`-T z-;Hzsef06C9s!k|1x^Dn6<6Y6JHo~+QjV^oU^7cDKUJaomF?I;-NiFDzEEkTZ=pc$ zwar*oDIiz*9{vHtS^Lu{v7Mb+B4zhsqPo`$uqNKmY_(TN+{3m2S@U%aLM-#^HYC$F*0c>8NK4&v00dBu--)<01iKzEq3qQq&JQ8)p;3NQavebM$1B=venB7Kc6? zEsAgT6E`i#hT@tW6H?9#RQG^B}n_yE1AJ!aiEZ+T1mO7@)<@ zR!KGAj0&YXNZt-6MX;ridta)jyQ|{gR4DHW^GvD&#KgetJk% zBcBx=aVwX|4X3;5syRAm)TwuP6(p>dauK{HW#Fi_`mlWACH#U@%tL%nD~I2g&ZL-D zsC4@e%4dplgyC<@W3XTSRCUsA*vs}9Rs^&90q;PbuM9z=q~BJrMc2F|{hZ;>tsz~f zntxHqS-Onr@>2{=0{+ky6V()*Zi}cZS|`M_;ljvSF~Vze{PX@^^durrrPg;m=Q<P!){~K& zKKJ*a*N{!FTPD9ZP#yxKMrK?>d*EhzMlB=_6o?1JK=s9U0;k#WRfQKmGnh`UhCuPF zQX{j^xxlKwuP4^IIN-LewXR3iIy9-sA^hmPb-jhst(afg{Ws`eCT&fq!4y)iQ1mS1 zBGhBe-~$+`Out$c%TJGvLIvfqFVbgJl^OBE#zH`qCK^@e0 z%luU_r=gvTi@wa_@}Fg(8$P~e$?d+dXkT_TmFRBiOHiz4>BN1icBoHL^tfm*Hfv-y zJ*k5k0W|tQpsOE_0VqGNSdj2wRW9QzLc=TVCI6Eiok~7J=cpH z^2HQxtlJu`I1ItEV5~Qiut^zmrYa8W*P=G~^bA*!^6J7_YL6yy+mmFK%M+blpDC9W z%WbS%XHb%oe@tS>xL1#W)Zc^U4<(!_(hsmi!}=TMg1*IV~S;6!YKo=g-I!|6h91dW8jM>q+Z3YAFbtHG^i6M%9G z0dup|8lb=pE>`XYRD^wTN;VaPQU9=MxLI?pyW11*xxU4kBlQ;lq@;#8`tOnJDX2ng z2Rm&Bx}>tcAJ_Kbl}ea=n}$VeYxR{3bK4D*T6~5Qx6q4N3E#X;*A_qe;*5Eu>%~o9&xOC>{TC&B+x_?)jvVey1!;aC zD2iE;na*DWHlMQPtK|ia0$!XEu0Qe($iMZ=x;atXvJf3UKTZc-o%=QG>5#)=?o+<|r8`D|Q^|Koa6?JcH z@?e}Zv2%Ss54ntXlo;j`%i_Gc5zkPxRwxIoALn0Yvo8bC4YH-P50W5x0SD}KNQh~|LioCUP{|1+O)su4`yE32^h z(X3E^G@#1t03LF+89=Q1iXgCd4&qt5+#F#PY=aZw)PeY_!%(4OU<0@EMh1b3R(n71 zO`X@o_NtX&_SYa@E7YL_k%H{lQUwZ0jAc*Dj(^@8K%$CDB!;>@N>c7zSXUC$r#fnR z?$Y%&2dCmeYy}#WC`ti}auOU2II3`OjtH7j$M9w}&a!ZzpyP|gJQ(*SOmb{X@)v4- zmqja=<$EFsK;#a$4SN`NWIxVyLAWs;#u<&%c8-bux`uPdRG(LFkLGGp_5A>->XnwM z>LUSFeaA9Yee-`&)f4`ts&D<1sy^jUs(PaQS3p(o@{s7N$QB1I{aQ>-u*F}wyv5Jo zfZ`lLYXbwZCOMnl(yn6(s|^EULhZ8SEuRE$|ccuL30W{%pYGxEyz66i8n#qB*NQ-?%>vg zMra(R5Gf0rz8hHI{uLnzrExx$i0kuA~9>OQa@N z1jN1|PAmFtR>AF3yCl>du){clJwva}8tO_m;4~#P)t}4l->*D~Zz_qM9Gs0lIJR@p z`y#hKX_EMp3fE3BUhsopT=bQNMQ3R6G^j})>49&7Eci7ERwe$ywHv8G&tQom7gI+z+2iAl@#ej4 zKm}XB7QLzT0$7tZr4+D45|6`Y%0J`mhP{e5a*e*J#J=z z)||YUHb#81LXq}o0p$ZZ-i#)vqo_!0(}#r84CsD zHnE>Tu5L0$^Au~;YgncFMTWDO-KJyaf)^+Gjdy)mXLW6CeTw3AGwckMxH-|npbrL{ zTLSHqdf>)aC{+HWLi5j`ViYI9@`Pp6aUCRyQo|SEPG#k%fC0}+Ep{S=3U!N>Y~Eeb zVY;h<8fU*DD>voo;7}P5tj93i0Q1Wo!2BYT0I{x@djQJ0%|PmP$DfpQ2Ro7Ci%Y0r z6kwd224h_qi)pg+Ti?rz9p{^i-k}a$xv@pc;^hhhweb;mw5yoYODW1IO(*FR8D3@7 z5uYMnll|w!nG!yi%d!H-&5#((nPeA?iR;|AYdOw3X@%g5C$p2GFO+2-lOPAeA6!yt zKRsS)b2a*P0ZVwHQq0ONF+z7^`hD?)t>v#c(?lON#tv|Wys>(;dq@=QPqCG>`{XWqWOYHBPsiM3 z%OOeCBFiVmmvk&GO@w$24hmktZe^#C2JfMB<&y59xW18iV9HnLJ64r2YUon&gEx1_ z*Y3?Pg?2@EP+t2W?|uJ_GCw>bmHd~U@PSVq1LQz~0a)D@`_58mFiYjgn9fD@N=)ogo2b z-|Ni?VUR3R5)Yc#p`A^Zm^$-z9p-t&tmZTnv~-b`8)o?sIJP5qPrn3VX&YsJ=w>^7)+F{3zv`q{B9Dlm?)<4}&X z;RwlcHTX!K9T(Fpg@O_hKna1anM;2S;~cIPo2;e3JBRhUR&^BL&>2SnQT@lrQQG&! zvhtmNw_XZSxsOP%XCC|3`+gB8_@XuwqhV&_ zp&P0-CB62pB?7<^7zkC^BKbKVIbyVh5TukXoKa(y5&85+oDJ+cI8k~Ot8qz8)wV%u z_veVXyLT)0A#^Y|E=9$#J^qt7JbCcPH$0*UR5`^0IiLrxTdu+aW0ZkTuzn4iztoh1 zUS%u9J4q0wrqRAJvajg-Y zdIWTqIixtsSdOprHG6u8@x`@Yt!*u;xQ!B{9I1io#qGRs-kL@KFzEq{JuxBZ;uWf? z|4CE?N(?{U0>zu`I~oVItXpxrr?fTGc>7bxwJFzKjY=#N44#E`^v8d`cenl!&xWgq z-oIEG3tysWrp`S)miG^cy;X1vb@1Ay=8fWT_2X^4c1IdcqlSXFIzZ;kxqBjqtDi; ztatK`WjS{~i*B{(RHml;L>zux`F=27{+#2M`k1ax(2F_;O58ew8T#(D8CV5Le-jy59yZ(pJP)%kvHomDB_7InPbG z7NNb%o;2wOXGkc$6c8|7KQUmFedc+(yJPX$9@Eb`?*Tk{1ccE{14%ikAl5-jbBGvj z7v22D@Gfb&PNW2^joFA0wB-Gmc)gB4_u|Ni+};!VO}+i%vX>wkfUpB^`KSzavVk=*bB^U1cP=nM zw9}0Cu4Q!Cl6gLAPu?M%@?oUikiK_(!_y0$(?Y%6!^8@NF!Wy%3d4vXPayzdfP?}S z%vEELxT$n!rOg*K@95N#wTUdMjEqd0Tw(4+MfM9IY10kXQdx?Cmj)@$#xwngp2eh1 zlIaJ^;+o$Q8s{&vM;Z&f+7}bo?W+)}yKkhu^t5Q$q{nR++LPT{Gqn5R)j7ZNfmCt* zev;B;0bSARYYVyA{w4gG-Z>ckifP3Xq3?J=$5$3;dx11(tpX#RC9^Hx=L)Nr=Nzk3 zDF5IzfA)~p##>1Ym0vj4=Aq_g!Ehf(Mlx(jTQ~wcjyQp}#Q{!V4yU^elgm!}ARjXB z9I>NQjuqtbY2=z6xL7OF$t{+Sb^|0OXYvE|KmzM-Z+}n6VxQ{Ehk)uA%E zDnQ`a4B&}p?Wr$ypePT;C(WUh}-7mx6lO~(hi{Jp_wJv8ACF$O=djv zoz8VftO+YD-2$jMH2&Fvb0q&w#$olch=VJ@M#cjnOx|0@Uk6izj;hvGBSc?$AoIua*A z`)(uCd(zK6>=|o!hi8hOfRT=Al(tl-xAz&PYezOISE-fk154R5n4c~3S6)A4Wg!2BX88JlWQ8Uw|KHmH{^xJ@f0UignFgb` z;5K$a6~?&jJ`CniV#u~nM65KArd3X}Bo)sj~(83ChRM znSv6o8Uxn}*2R(9u=GnG?nYXE6y+R7yy;))oNrUR(YPHnIXpTTj0M7ZNu-OnMgd@s+t*cD2HMOO&X9yWSgyVGM z2wSK5M(#T4k!??VE`{AUcto>Y?K*G7Ai-;&CygD4nK!i0Ur2w*SfMVJzf zfmHfl0qtO>)tp@#_tFE5?^e48in$%*2(@shanRpRgeMbhHHmwW*J-d*8hb(lSrkAk9E(;{vI5`hXw)%>^I&duIv6yv->bvLH zHDmWZ{QS=gxF13D9I6$%g?de*S~AUitcQr^;jNx6(s+A_VAGRG#HrSc?c^EMahCBM;C` z8JhxZ=$1>h;A|vKmn^c5T)8{oYrg)iuL=4}@|GaCr&I+#k@gih+|GiQ49W=)bd7=B ztTpVPja8ff3ax|A11V=v^|&%X>@IJ;G}kzvSwZl)iM!tQW$*rM-LpAF%#kGZ*^ks& zBb?#v4Aqr2?NgLxvVV!e-E*c2-BWIDl2ud|gbDxp)uy!9cHYveG4HD*OC2C!z&ErO zFwrV1fpX#K&sF{SDqz@!D4=62i(b6uf?~z!|7WV7{`3~57Fv@Pgx%m!Gm^^6(MQT|4ik|Cg5;<)P2ru+cmISqZe&zT+RNxuw z9Qz4U+NXih#s+PO!IudgE$3i&6+t+n5~oQ^|46s-390hZe%7sCc6iw2R_YDprQHSl zw&x~Pe!QV+Bsw_wfbLbpoy4cTI!e=0pVga~WtM!Oul|73B4 zvEN(c1YW(G1G3VtPwAv-Enqw_>_BlPNwExQm*Xi^VN)|#w!IBKo|>NZ`tq7*h7QGN zf47X+Gx%^`JL!A0xuTBiPeIpVZWDM>?!=y64!DtW>JwU-l|Sq=d??VF&p_! zdUpquXJh4@qkHD~StG$rCCbqnxt%92*ygh==#CVjTcp8E0w`e)KJkMhr}yZJ&=Cw= z+&kpX!1^Jbs3TQ=;V%0oJA~0zzqc4m7~nmw%xun7)eF=+`HtWYn=$u56)H&WDt`~! zvC>_`TXH+1JjF{D>FbA28kt|M5!DN%R*Ldha|iye(ecv@|KELqZB*>gZn-;q#x2+LlDvh_r1p^(L(gY3#Wm7WyJ-~ zS>yh`!<+PPoXzz(CTCJqUwS2j*FfT@r0^d$xw5hJtGkQV#HxaXJ-P~z3)6+`3do=& zwLZvy@XNNh9nU(IJ6eWL$=v6ct6}JHOFjI}^!-3^8Rn-V3=I)Ndh0mN&IS}^SWlYH zSsGt5#Z9vE^?-9RnvvDBsHX1ct1`CsXw=6!+DHAy)?0Y3eF@i^kEE*q!4;b2sJ!Sv zD#;&jpeviGdxCyB#&kWQL$;woJ9=*9g}ZC3c@)trd)7@0ng5Hj-_KR;zmg@D?fC~l zHhunM3ez&rc*agra+5D7FmBPT<@V(iR}HyZO5IfTdUD`0GJKW7Bc4v+A85xgJt~9a zA$jFZ|2GuU&9_*48hUv&jCUP9B&2*dOR@!W$P%tXO2>YV&Uvao6k+?x zRm?)sMaIZ=;=GZ0eu-z~OWzLyPx0GH9k}1vAnhK!j}p;EKy)EWxQ}%;4$(3et88TZ zseEf+f45cXwam9laW!6_AD`=&z9sAOT7jz#v6^(b8J2gXia)cPf^r7Z2g%ai&IPE; zZSE{d`VP0#ik7cU6J>kt_UjL_G7k+!|KshgXnN@~IcvznKp~#BmK}|tSk$QWXc@Z+ z>(R$Z7}_%-3HVvRMlxn~*4K!q`aW+96Athe^4i~1imCmaCg~c#V=#KlRL5^RRAkfpd&tV>o1yW)6T1d@`YEmU{MjkqHNAfSJ=G6ye zw6U2U9%sw)NxAXV5zni)t99dxCw4Jy^tF`xe9PaMGu(ExGm1@m9}yp-#`lmH+!0Iy zF>PvGXtAMy-5bIgpL(^C0afEW3bij4Ql3q=E!kNZ$oDS)|$zM^PuD2@SYT#mGG zc~1nqJe%Om~P00-VmYT1*TEcTq#Kbpg)Uw z_uhhhj~XyyNd=noSXlsU)MyJJJ!qb0+nX{my#RH*Av(;l8oEbKQ+HaLoNA+)sNHTl z=2Lj3YL!&ogZ3zrKT&mZqL*l`*NCs?DG}21J19z!C!11pPrde;~#Hyc!+U^Qt%z zDje%#Jm4Yu{EHvlQ-o%Lqvr4;z^YV15cCBZ!V%0^UMZsho|B(M4!^FHXxC?CgFuP` zpLR>RpL&`Uy(K_|u;bYcK;&R_a6pTGYudqHQ+$AWYF3pCgRvF>8mte^!VMstL5 zJ22iE~&Q-RU9^UC>OHpS=+LarwoqK%?$)hvJ+#b}PmAXviw4`ot z$H_w#K7c|Oa}y`07gr@C02>ZLp`xOv=Xsm*Tk6uQ)V5JZ3IZ)79bZZ&TnKax2On~i zb(LmHMKF(Wn!x51P7rHO+x3Yf#5#f8-ASVCDD2FfnLXLv=sIFuw;F%-!Easx&D%#F z*{qw9Mo@L=1q^pOk$Qv{0(b=X(Q^zzFl(U1muEell96f8Ei)HDZ*cN^xG$^bb&-*R z)3acw3xz?E4pOgbnLMeN0!ZIk1Xx1*-Xz3Pf~De*U@}L5mwAQ*NZ{tvVb5VxJ|DFq z86xGrfv5-hRY1a$xUeKPc{D$tdE(MV%BiXm!>w*G$(|f6fnteHy(5W{E)j#ZwQef` zwnMyC9!v&Z;5~|x%9eS2`4W2`sQ&&k)+Qs~!|Pq(#3pOecRp(40|>bF!k~~S?h`5> zusKE|))R*7YQEekQ>$3g4}IK8dabMSbmG$%W!a=LW#zHLd$|Q-*IyofKBs+n%XZ&d z{4|&|#@0**y-5WmjF4_ytdpG<13 zP0xUX_m6*~VulhppEVDu%*q#7M6GV;xhwE!F{Ga?2)RM9LUY9*TwKlw0h|QuXo%q_ zb%8b0xlyWu+-EN37ero=J^e{^>-qz7|KfthOcHX*tYl2J3UlK(3|lqgybJa?jt3P{}o1Ds3mwT6Du=@g4 z+v^qRU4lu4xo+Jq2O~%Qo_DIF=cG2QY2Ip~Q+r|G{-xbf1|PEBk^*$`n!Zh@N!Ql% z@7Fcf&f1;z+(gy+de)-#8-E5c-K3H~xE!j`pd~3XBQj_D4$;%hz`;U8=QQR}Z3a94vhIz)LABKYxK5*MB#O-xS`x+)L$gb@OcUdqo zJV<`fTvcjRb^kCA~1jS-^ zK3KzQmIhk>75}*&)wt2mXKzEBzC88IsDl=Dfy^Xn0i<>l#o7z}@a$0YG79oZUhb*U z1&+WE#=ihP(*aIjDW|p!ofGiv!}gF7rz6O59_+0*ZG#@mJ++mJ^IL2h_C)znI|55v z?dCfB0$c4Sh<6=yO{>n*7w=?5J-PSl*t5w)w*LJ5Qv>a`8lLSM#ednPG2f$+W{>}I zI1=+KGOjNxp=x1(5#uhb!aTH0G!J&oC@0|tCYmYB*@U7B!HG7#i+1i0bxGeoKbu~} zEOSk{RYA|oS^BFq8K8-kRg)8hlp!7{k+1Ldmv0m%KmSVzd;*N9j6(Aq1iTsgNc;gT z{J()8W2#sRe{kJ<%`yQOQHJ~n*D+@eK-nluTVUh>78Wo@Vj5k(e=-#{SE`%|n@b+l zI?Jgq!Du_+O?h?SY>e>@w6pwu(Qi&|mi!ZhOpL#LAVAyGcj}nk(}B0v2XqcH9P4R` zn`kqVLJ?+f?xi(`5#{~vT0}hWahW~a@nX88?*Adz{C|$_b%3p11?XIWZpx0ti2_@n(cO=Ue&E8W(9*L5Y` z;YRAVhL4l2&UTCv!xGG;ZiYPW_!LKQnRb*1W)H~MH*{m3cnXx z1D|Q6TLgYn)<4aCBJQNyVTBm#dGGwZph1T@+32lX-abJMNQ|>KLkuGcc?zww*67T0 zc7o|NJ%BXquZFk%y+N7)}$8gIwok(coV^Bh2_(*!t7$*V>EK5=surU$J?=& zIjc%K^Bg*bjoQw)Z7s-;9zR~78Do4fSH`|HwzxJ{Pwd8%b8OS^GiS3Ene*4nfC0fq(D`L4b# zpv`H8L^<1B3BtNj2=Me>s4j0pS7#Q3kYlNP1{<;VQqPFc!##eH(XJ694;)&EhhBd2 zO2!OW`NvsJ^{3D4>h^}gF3(UZ_x9ylMLBD>8|bK9u(f6ODCTA_g*QWp>mZT{l711@~@W(UPbKdvhr{(F{rjl6h7A$6% z7%G|+4tty-eWuQMvh}MMY94>i%5p!x_GFb>PjBTafz2BP$=i#78M&gm;uuSC1e2e& z78ao8Siw5O_zf)W7WEAH!DH<8)>%(MvD$@vtJA$aDHnL^gC|m_7H-SjFrUFui1Hu~ zU*&W!5vfKmvFBjhA#^unM$3|syo*>L1K_~U?cr@~NC_;9t=fmYA8^5iuwT@z;_BKDt(Jo+(A z{gz0Rz}|mp<=24I@r6IrW`~3-@scdX9Clc#3ebZ;3VRHje=b+TYSMz^oZZeRJw?m?|D>QM>Qv-l7)TIkrx9a5c*6KdW0U3(T!uv2zX< zhUh=m(>iam4ze>rZHFrK=jvdzb_SkB6mUg~1OxI#)Z6UdrU&+|6{bo@FWH?>OgM?O zD~(+AO|VaFdl534CFT-VV(3)l@T${()Q1q}P3N+Pqb2Xn z-#NqmdaatcXVWNAjvc|-&f3&Y8Z3miP*rfNd;o`QG={Tb!dzSE4iGxC?&^k{kLQ#n z7~wa_b>tWdRu387cQZq>uJ#66K6n~Vwgzz%6r!u3ZXE_hS0d-2s%Lq9T8A7Xk+Ni; zhML!KeuMSr+!AIo^RaxN`CNs)hn$RUaSdkG4Q!~{(~&$kAO?Jo{Q$Y0({3luep9Z4 zJ@M&lfMZ4K>bBB@6tv(MQSIzU`QxWkTU>iz%#5@S?t$MH1n*DS`+VKB?Z^5zi0_JU zKbBmD;ta@9*}*C@1T zLd+*(m<2-Y=FZRG=7@NtJoW$#ERoj^UyTqhg`W6auf%kZSXTuQU0!!r&P#jV*OM_f z+hZmb#JB&nzr;kf`aSCze5a30&=q5w%J`i{h7?yzxn5}f2bboT&x!j%GqIK(gZeUw zlmzM4wF_Xc;Q23p@0F>m(PH9&4{CCJ0|-jeK)n<-cTgsL9uHr^bPIE$(sGq@>8>)m*rs$uSJ(VExXrUG9!1~7F`@PP(5f)>LV8a}m5voeUF1w)k&X+#E! zwTldzy_Z03;-DJ?1Fn_JA`Xhr!92(rB}eu8H0@;HLh@oa(h~tEE^3nxX>dHq(^hXB z%pyCHz-@8UZK0A1&H847lKEezDct0u+FJZmQEDN9kVo^1`xS8uPdF})6%Gfy(0g`X zy|{WBQg_UApq9!h8JXK zp|`5UCB6{OD#YA==r0~J{%>cD=oYtNbAx1^3%@9Z`uQ{ww2uU^?kY*X1(0;y^17>M z-zoj}tEBlE)ODfh$XA?O6i|uLXGJ6aiYolf&a}xw^x^`di0_AY`;o*8CeJpuL$2s3 zJIOZAdLQ#~lNJ(1lGE^-P}R{aNJu_URk#K%T$GK5Dj zC_)p(#~1i14X?YLFO2%AL}wfW%^*1+DXsX?xQ1t=hlLipf@pOPp)V6n!YqAdA2{aFDc$o#Cr49R1@M~Z%-bC{b72R!DrZ#w=`)no~^fbP|f1~{|$IIt8Z@P8{ zdlBqv?4k*uX!(W;C#+=&W~6vn;Eg_AabpRJjLy99oBWvHk)Pi&XX>$|I;Q?;q?xSu z{<9ZRIv@rR@(QN2n5Q`v1Zj<3C}(^~CwB!c3PGv6)mrPN{G2=)<8t*7^r|c)d2Gf^ zxYv5myQAC3u*J6eqs+u;q@vFmMj&X(%yF8M2!W*mX+9b6l0Y$0+!aXJ-4L`=?3IkN zGWw!ERTqBFGR@mStU*q=;6_A+oQ3z_-XCDq{O%3npRklcQ49n)TUtRiNPO{ zNhxdAsgMe3v2RniBuP@CY?CBgOtNSAR6^M%gtAQ~Nn)~&eX=J>maH*mY}sclW0zwmCub~P})_(5=7QY=(8}>Hosm^?! zmF@f#cwAJx=1^a<#jX-u5bKj*VW7q9l4>ENB=#8Drz~gi3s3oTvzqas%*7eeV@SQl ze8f~k=S-z2xjWnF7$&*i-!5l8j@JQ6}}>dvJmyj@nv zeu;l;l>+3nI;!DYX^|*nQc03kQ=RzQHWb{=A*CP$-)+)T2l2@tPT#(kvT5hx-B-XQ z_do8?PS*Pm_;2Dc+B)bxeKY9|;w?u7#N!~&K^dvyW|zOuIGVKt3(Ui;sY`e4prkF; zKhMs^#S)2Ult1z|pe1|{=y{A>ti+z6}&keVYz?jgolUB)i?-(=_s=L~H52 zf)e-er-=rVAuZeL6qnNIN(?tLc2bkB=`BJ#$OZ;|{}d&dkcJ5qH^6V`Cu= zHV#Lsd^eJ1fFlVq?=Rt4kqs8`A2Z$Os({(RNr>wp?GA)4K1YS0#vQQmI)%v&mjCiv z{bmNDyS2UjD`+Kn0tZcb%6PyY5~c0Fv(3K4)Dn2F|J-{EVm)EAC?(;k+bn@2Si9pMZ z;WzFde9E;uqOv@CmFL59Gw;9$2l4h8y13wXHho34rRSw@;!> zC3fhGw_{@3i7m73Uuu+79Ur()01j(~{dHgIB05}kZsCmq*U?nSe7`jPr#t;Wv&yS^ zTni4M-sn)gCxK#mqB-xIob05Q!uZ2(GqcL<8m^NCW3NJ8!P z_-0e`Wlr7q$+?}M-yUt*wd>e5l~0GO7Zk^#70csM#rn%ElghLMRm72i&_}$t<}AA~ zTth`37EzBzPHZW6!twPiq_)?s_9<7z6{g5P?B>5&;!-c_I~qS(w+c?qfQTYARiY)F zu00^|z!svyxXpE_2@V>QWWD?iv>x`oH`Ca6m&b!6f`bo7LR~jL!>MIAhA&=MxN+Wb zbDB=CI0x^LkF7?;o0MNR(MwLi8(|VLATpQfkBC`rL?ZV+A-h!;bbDs})`)aZT)f~U zQX^xXJ)>amvWU8z1;g#1q&iAC7IzQ) zx7MHNEm%zMa_dhjNHZxNX?3kTk2tY%*odsZ_`SWgMt2R9G0Q+ zf%W?9t~$p{l8+cR%<3ZeYxH-%i7!UsmoA(c_&MB^$@;^56!hNIbu0Hm|4us(K_axz2Geg{W*?+*4^nViJCI!OO_n6;qXp@Dje zjCr7e0C&GQE5(fpSOLVCm3Tq2gD2tZ{wc3t8Uu}uqTjK3X2AZvn%;+47&o(M$Bc}x zsym{QchJ$c=;lE21!kD4f2L7Sj2Wvvxu9SKaDpoW5ew5A17#orAWg!qr-_h)tFXcG zCfO9;YIvvr=2l5^U|zIiT&3WXl;aTsyG&HN;!jjN#c;hV4j9940}=+)f#PdAfO^^S zj{X)DoR}#-V%*`O|NOX#rzb_B^)zkWN)1CQXBet z#^Ho&K`2kItnt$mj%u;P{oWE)PS3_jn;p7UyLNg;og6BDl$7bZzh+oZtgJ{J`@8Yh zD)~!TIG0-ut-;%JZ}h(Povo&PFHNF<^Ohs}IkD45vS*t_#k|Ls1-_B<@Nw|O0G>$JRL1Kmk(_g)rn-yIKE*WEQ-_H~Aw`X#Ti8nOIT zRz@mKo)modWs8To(-yC)C2CTR{lz!b;=mW_?^QlD@TS~UH8H8%*#X)Q^JlSjupVD3 z#Eg`^9c}P=UIvU;RSr~>dl|+<(0f4NvXnVlRvD2-m!pL7t`>;h2TU}+`v_~35S_!Z zdrtuUQd$*)gWw&}=M*mdY2e-6G4uP+ubM_X=f4T$JMwBhHAwyLh?7kliyw8E8R4&p zQu@p~fKs7}^fv&#<>=GFM$Pgs$+AkdV=czqe3hzC_4qA0bEeLodaE*A?#L_x;>Wao z(*S&gFOP${8{q#A%5M*ayjkL{9cO900}#7;W15qR@YVBbUB}WTHfQ(zQr1%yuQLMwyM> z`F(%$YVrN<>6O8&_jCnx2eHlr(cLj%8Z-|NNainU&BM}8fZmx2Y4Ut-mECZsy57(( zgY4-d{s!JsPH6XKuE8s`wRQ+9U}ZGEn~i5BhOW|}F<>>Mk{ zT8^i=V_xg7c0pDL68|CqdkD7&RTbQtKJHGDwXT~`+kdhq0X`IY#w*ChDfjgd^YZ0sfY(fum-VNOUNM^mi<;4S3LFX z+34r4o}Tr6c0NgKWv%_42LtO=vGQQE?xT*74KN_xAq~3AyvW^6W)#6%a|0(Ga$S(L zI(((aI7Z;>|6qj2Btc5gxHKOZ|(a?FiS@W8BDgGg<&KCj-+ zE#X;J@e3IKF4SI{b^16V4;hx4*SZHsZZj$FxGyi|{MMlztua;_#m7+?6VV(eb*wj^ zP3w2>{qRo?$Y)_S_hl7#9N!EWWAar)=JWI%41a-Z-TApnZVu z?zj7!3r$Vd9b9*%1hEp!kqIdkdkU=D+;DyUw(wF# z+jRXMd2hYzwx25atSy<%w(e%*Ztfz4@#=)xYTgx_pe2M72Qz^IL#had-pfn}mWw9* zl0$aqy=0$j?>Xs!+=o6b)xwjo{Xx{3qZ}j1^9b9HRZ8_*fE!L^5zFB@N38+(3L`m5M}0Su!TbL*F?o7738LBx|Z$j(}G2uP-7DS#~1b<&+D zcDzq^pJ%WBHY#~@y}QR%TQ1Hvh*KWw#}I^3mR@9f1)PH+FL+;e&RfyJoqIbk=X3zRDhlaWAC zw+RqbsS9UOsHt4Iwi=#x#|3O zwlgPZRm`@f#eCXka;iW|vOs^F|Cb_paTGg^pJHgboCPS~?5$tzMef<`jm)3kYSwr9 zVbHbh!Ldr0?l!Ovgat%eAe`<6HILK4J92e`{9KZcavi!`kYqT~NTMUxFp$99 zKJq?){7cqc8y*L^=D;<+Zsol%q7?nw7qU|1`2yCB41GFyOfyF6)S18M1InM}j-A8STeR#8&8 zY3>{Fpt!545<^3JaI-7{pTG5X2N*9|w0u^!Og#e?m&IrrSp3l@)){{zz-O7Vp5kYU zK$_vlv@Uq0wGwSDHF|1VTOZ{9ft3=@`@Q+)UsQ` zCwTUj+TLm^zPs9Y{x0UaK?8b$m9{(;o@DlmBVXLP7D9SG%Zbqctbxjn% zDboO&(1gKgCk$h+Jk6{RHVY9s0BsjQH)L(=X_7$pXf+Nl!nzX{MuulKCJPr)rHr{{ z6%O*5Er;DmX4S&xEBY)chu|hF{aB|-mj8OvgnpXV2S`ZAZChyTangHiIKvCUxKRx+?FKOVG|H3s)rt^<0N(=G&Os)CDI#ZtmDk3mCj zNTTwurMk=VH#o{>3)+)krjRm-Kizslc`5(Y2o@9EfyBD%F*UA0sfl?{Xjq&Hv( z;Njw$Gy@noBR%!~_z6(JkKE9w$KTN-7jHdOUHn`@-Lrox%CdU!I&2@HlRtwr15*$* zMG(u{;EP@skLBk>JMnfCnT?u@3nMWs)3VY`KSS7VU?5}W_c0M;iRJBOi)H!X&l$h+ zCb+V^l{vyZ5j#0VL@&1zKBFH1WApqzYasdw?BiO8@*`9jNIUXfr-Te4f#H4KXEW9v znCLU##~i~XCME}a4d{m9FU#{XbZM6;4gIj%Nr`t>^0Z@K>1eJ@Y}NR1%hcTDDS7#` zty#|2A-qE$emRvRA)}+=v`17hdc%~urr(}cGQP))aYi0J_Sh{PO(#6EmF%xyfT7PN(>b|wK=}cA!LIm#k0Odz9w`lIrK_j5`V*+aacT(Pz+qWuY$R9ZG z#IE;1(m^WTA#v?Y%mp2<|JFQdfJzFg6B$+o4+Y5z(|1ih5mi-$&8$O?#kJ2oQu|Pc z+on9^Im@$NI7T|;rk_Nm>o-cu$jVV2Y_DnEy0U8yS1I2E!r%q+5u$F87AH!H_KXVK zO4F{Q-Z~I))m=>Qqk!jI$!*VUkg>ZJjH2snoj&4!JRiENJ$)F41*#GT0lNI%Qh&pX zK}dX;Of3S)8WOp;FfP*1q`U^xsDREHs}gUhz9eF|H6>E?E%Yy ziTuu{nb|0^*hihoZ%V*0jw9wPlUV7K%zKjzmotVAn+cO{ZZ~^Uv3}S6fPMOV>_tZk z5R>@LU^Kn>-!gZP;8)?lwqPJAB?ItKhQ|PqnI7$vrJOA#GwVPL2Hr7vQn?9#-Svoc zgM!^wK1Q#K%EI(Y13W&^bQ}IQD2;+8nN}m%%uy$s6&A>Q3KbSzkQ#CxZeqkE7Ioz+ z18vs!f=tn*tXa{6BIW1IzpSuJR-VSJw|;uQFxv(nWE1p&fK&&niCNo$Sqfzaa;N*9 z@0vBn!3&1*`547TcbwuPRN^%51}Y)`ZC}SvB9b|1KpHez!53BM@c%1rVdb;`XB{}` zmEH*JUkj}RGSf+dRaQ#m;7VAxX%$PfHIMs#cWj&o(u>?rV7?};yCX~#nr?o6;_U6? zrvp6`-*=^_GBcUa^v6-L3z_weJ((ZLnDOAH`g^P{s%Sxa!-QYz^arfJpPWlA;cw~P z8Ab+y11B8@gywlb?Lp1bNG+VZ=G7=>d%mUoxxx~%K^xw=F#OA4p-%AmKxNDwsbbz^!Y^)50bX;#w@16F9wGsMW~V&{zd%)vlZO|K;EvFW-0{!; zUWDlmva`S86t}j2b92W5BjAYWK>*e%90+iau(mZlz+7il(9&Nx3F8=gSeqHyr?aRo z$cJ;Pr^w&9L6p4Z%F6vMgu)5SK#|DJ*bTF%WfJMrv{M?cX*55rdVmz6-2A2|4>11e z^6{a$k2@N!y{~={;d6*EF8IZEQZw#Af*Zl(D`gfSsRxKIMXlWVGlrgw@}2~eN&Z}4 z$Bd@o-_cWq${uK11}gnc;o@s)2GRhieAOE;oHRT@g>C55<;QkT#@Y-Y?@r0&nI+e`O=--e1(;U za9x9g1S=PpSddKlv8n6FfCam4)mY&NNScNJ1Ks-m??A+rwjc|3j`>1sGwU;=0IGm! z7qkwuI#};PB!LF4$Wk3jEYpNEZh5A=Ly49-^XmXo<$V({mMa6TDp1J`D8EmzypbwP z&>btnfIDY-N7L=-@Jqq(a2sS`xm_;NA8`ri;+p!Ra=0|iH+}UYb7)D>JwGqir1hFz#G;tp7mN>Z z9j!ILQ5_mG@8*J>SV}Azby`XpSHT0WGvhJZ*2PH%;WR5_)!j|+q{3Euu>UgtDa8Nb zEdVO2{qmjdl{_QM_a~b4t#+-pODp`L?ms{+_aB(H3Hf8F2FQRFZIRWhywxi4@(M_& zO$3U>bhtf4K8q1Uxqi`rhP=%$k>4oYa!F^#c=owBh$nOUT#?v4yRJ0n&dmIv9RdG? z>&2oqr0E+S{r526pbY5>($(QSLZzC|>RxGKr315)`)<_R_Xu=4%1Ao1qO`6Ry3Qzn zP-aU`Uu`{Ra|rVRQE53;gy^)t-*jeX3*BQ1)xia(+UihMu&@2j_4VPD;RUos0$i@V zktH(jJpZ@deylF*Ftp?b+Nm)5|A4%Iuj^PzPW)|8pYq4U2mcY5lK|ze1HTUIY8}8$ zL}D3-XvP#?x~WB3d)}tWH&BlJPJ&oLzKz=vWW40Df*n_{3#^-bSHDvX3pDsTK;`sy z*2iQanlEKD$&TuuoyNpX#zLJPIY2RGVkWJLPd07un76c0#mMebLuvzH{d{Q{ssj_F zC?5ujO$8X5{_eeYI=HA$4HaIVEe&GrnGW_u+qer!yhBM5rw!h{>pp3nO9!d63Kc~N z4XvL;hAQFtOW`l;GW=4UV-^CC2Zqoeieh2$7w1p%=MD{CQGB;k^x?(DmhWsA;rS_y z1OB=UDoz18;@k6~L(2uCY==5Hy_V8&R9+mVNLBNNJe1$q*x(XdHlIC5%?3<92Q#Qt z`$exkh>dGRoW?hg+u_P`O37u6w_kr5Gahhvx{~$g#oZU%j)4p%l!plbs`qg5QZI5` zts3_O)OMn`zc5P2kk`@7FRh}>7P0MJfuJY;@}oD~?|;t!&`@+Q<=~xM$;0!6AKc0d zh$bmsBrGIJ8z(9n3tdA7ci(2a1%@8Fl)?URIDXQ9Y}<%65z}MSUl2e)>ezRrkeTN! zMRQQTH<35ZjXI2@*|>2~&phLc62j`tR1KfZIc^hn^ulhR%UN69LdkX1AZ7$Zgl>j9 z%gjI-(e>*x2;L*7KIg%?JJB3tM&H>ke_OhK9^a+?IN{^rJ}WDWBWwXYCtmQ155%l? zA6GFde+1qCuumUMK{D4fnO4#0cLLjUFV(=3B(Usr<7{W9ginykHRWje_N%wFLgV3s_ zNON;_dy^eD>oe=sjrgucojI(h2oeTAtnvSVO&b63pUatmkGaz45*dKjXf}yW3c!5k&~}Z zZsI#s(@Mi3m`SAu0P!LQq(&xb-RN4-%jY)6lU8kMPRv})rSO?OvQ^X&oIgG-yN|E^oJXEQ-jc2Yre%d)i$A7ps!PQ&M=%Hn5Ql# zZ%8S_RBav)hgZh7Zv!9E&@6Ai*OIwX=lW8xiNg zqqJN9WO;MBX_TJOu*2aGyA7V6*t8m^8Lx_CZQAmtG@KLVO^$T0or7`Db7kGS3OQ3i z@Ac16<*Rt3WjVTh%mnipSP`H{N2$9&0Yn?o*{ zK5#U2L?*1bo>(y1abj0GErFU%flqwK@F<+TMy3XfKV2$K7AW@hsgg>$Zf^bRO(bsV zd@S8mtUwz-Xd}@cya3Sa|lE=OCa~g}IQU-^p1elb* z8)Bj-p4v_wb(?^%L`VN6*!z=pmj8!!UP*RaA?e3h0LgQKk)MJe*3s9pb={TO$cjpYJZnB#mTFr?3jLH4vTURauJg%X40F^(N z8K4D2nU|5{g6Gsj4fHGHhcV9_kBkXhjLw)z}^YNgIMB@-F^{CuCILbUyUJ0ga&82aSWLio?+dRE@h|I0x6JoBNJq_;e2WKx*|YO!ek&A~hEghVfQG{;alCd%l_42Wh;Ng+X%$N+qvZt$Ftg8T$x(!8r&TyxMY zILTSI*~eA?l?!fWp-?r-U?_KnO`!ZX8Ba?FHs-KLuhed0bf{y`JlhWB-Gaf~bIphlHpGqKqdH<0as5di`zMSj@) zYPT6eT*5fNPZ1I;H|;d;+=Td->T=la%j$9+D*r-V?jx|GGJ*`uNFaV9VHD(Wyo#}{ zoQx)LXtJStmbW>pz8nK+FW=YwAK}5=l&bG+r*xYKVN)QbyF>=O`jEt2Wys#F*^#v& zd!KT1e`iaK`p(u1{{C76BcI`3Ji@&J{96~KYm_fQpY))q;O}fxSI|EQ7m;sZW)y(o zz%Lm~%ub}RPJ!Fw1}$0fEpYCAUN$hdZCMKM_b>J;);g$ugaLq2kvUNFYcVYZ)vFtS z&>qX;!ZG_01L@$|B~c3?FnC{(#)PWBvyB;?1?qaGOMkp2doc4QAg_D;cR`)#3}{p| zAAH6N75Lys4RCc_VN8`?Q&&3hQS}9kUw|?N%mieNRh_`cxO)Stf9$QyBEgqji?O>A zGn#1TtvFT;?*Pao*F*ZO3P)(P8z`&k@Q-7z@EPf_p|JF|P<_3BGn}d+&x&>Q0Qwdy zzvUwYV}#nU_JIWGO)d4?_`%0%EH%QC|I>fI(XwP*HjMFwKtCW1>PaBf#=ricX<{LSp@*>$@mjti z_(5%RRxem65=;y%?ksC9I0UUgz3|)et5zwq4*1UIT@8hU9wlpVe%?16{?3L4{-f=> zifJ{Td;z*2KN5<+&fO(JWutpki|?Q{4lupWQ@#q!9L~xFl`5yy0vy~fhqrg|YKUL= zlRO!sWRzq+`Fb&!#kq+t&(NpEP;C0;CtX1e`gkTSqu;bzB>WU&t6$cRJzwSwPSje$ z&*KWBJWs|B>PWhska7%K)Y;|M|4v>@ zyM%XY?N3MuQPi=|gH2tGqYC3!(FVDN79=P4;wNcQ9ABdp4o;mDz%k^>A_MRUeE)MR zupD<|XrcXInD?~!XuCBwky9$vvQizkuu9Z>>(i~QPMy<}$l*CDm$`dZ#8bf3Lr10< zQv+TEO4cwn$S^2pfx(w7-$iv6sU>hjrpdx<(@F8X61KYW-!wa_DFspdE&`K$SW~ zG1xo8)>6$^hMNgh&$~+FOqJt);fPY{CQV(h6POtl<-E!{Wu%S;mDMvo-`UncQw|_= z@9t6Y1S+Xx0G4%b&@h>VToeEY3`;{Y^N%alXZTUeA^)96VCgyx7)Gc$%T*OZa%vUB##}m#pw#&T30EYQ*MHx_}8GOMc zWdI&zDqAkvi;I!BM)zX^bM;(#Lp!fU=F451H@*~qNUGv(LDfBJy23-wm@8|DaI(>_ zUXQow9mG+7$iELr8dZwf)v*)|w7#=l5>yM0P<$-RnngyxbhuIB0J?TxPUl>zeRaEl zFWc^#%{<417+n=U5l$Ck9APH7Oeaq*RElrS$^J5JWwWceP2=r?n~P+WI5E}rn+X30 z)>j0F{~p$7mKIHl9I8XkixX$Z(NdgA_y@)5h4*#Dvch=@4pe8}gAORBu{*UgW3Rr0 zvW*1%m$PeD6o>twY;wZ}-ggi*zCueb&t|(i7-2btrSEL=%oEi>NQ%$YXHI&gj=`S` z)P?AZv=XWz4G(w**LDrPbkwEK3YMl9X|4mk^3`gA;L-$RKjW!;l2R+USQfgCO0g^p z`z;?^G{WiiIa;6_wHngLx&@3rn+Lxc&7vzB~>-=Q%(=~24?v7l~J%Pfxi`)zex~&SM?OGq3lFIsk*)|t$ zUcHozbG4=GGL99*nYL$@(i^J8OKt!y#>>dayF(Fdl8I|tiXhrP!lX4Nt{RV%uEf*! zz}{u5*THQm9D(v0eiZ*{V#*7(xjvDCCz+FTBfwDTiq#d@!N8V9h3aGNbUxQ|C z!qEi)Mkk+`nbn;a`L|+_*m>HS2EB}ktfD6_y`sF4bzHV<+LLnK=uTGXKwOb^SqdNyZL($ zee;ZKQ7503&KzjBzh)fms>fcPBbv$Pg(rjf5e?=K%o zuAvC8gY$ipK0%JDX**(ZakN+|Djub*yk#Alr^#(svW@VO>tWSmxas3dA-6df5kxp6 zHJIeZyiW!AR7MZ`T4o5k2mD4X>;Zu)0fMh@nR`mZI%toPOH25K<3CL3VfJFsQ9BaWW}7@*ZX=2u<0zZS%Ql?edG+$)YY294IkG^^k<%Z}Ut)6tP3H7IH@XkarRBt~Ycv~Mk?n08 zzGSrx5H{dXXUxJ`oWR9PFA|aTJxdTPX)2?!abIPY_`&$%n|Gb+>&1u92d9KKm}u9q+`nr zhz2c`k1v2ih7{<{85{= z3(Q!CK67b}u3tfvKZ>Q2z z;zh9ufnNpLLgfk=8kV~d%#xwuYqa(kw0R)%na{a+o{Dkc!)0pfy@E_JIRkS@3aE-dW`>$dd*d{)bJ zzX zR+b6?Uojx2+im)V&*=9p4rXYx0C0J_!>@?}reuJaqC)l8rm8!%C*+j#6vL2|)>0v6 zI5SQ`u)Wg3zr(&&Z#de;`0asb*kyhY>o zrynaiXE1AkdNdgKH3luXv)`Ymy5CN%P(|r=M@0Ih@Vo>+{^X0esGnbeiQf;Jq0|2x zi%&_bh0&z&6JYo0MClNeZ;E$S?cqLqf6?+bIf>#nIbrEo5wA$?z=Cz@`wy?-5ZgFz zF*5N4@PflM3CaM~ADEmPNDxftH0h4WpyKniUlPnEWri#pIVZVYCbTZLC1wvMC&`Q> z|6NacPW?g&wi_CIRzoxaxb5g4Qu z2gC>fp8LzKLrL4%n$-4(g*37MT`sp!9QhHV4bRP z#^U`yn-s2$nbZ?V3@3DS(lN2?87owzd> z_SUOqiE~)~JXI5Px2t6Cml)u6%@2#KtK->5!RkC-8c1F*iqk)WEPtJk| z6V12ZyZ3U$*pguXCDGLCfz-^;pSU^vuXm1j3=WD_?U-y;Q_wI9yK=DrvHOGhh?&>n zgDww#XPX@cRuNp<0Qk2JFgG9zKeW=;#599zsD|40lA%S`tu|a^-`XUX985u)woXbG z+d5e7y;2aaAHycF>%>VmyQg9@-^{?t`ExLDV$|^VqHJZ@tMf+4cAW zHj5!s0$ByB=3Bh z`0#aP2YbW|DtzTl|ABh&4Ya+pyzKUE>3XW_y^OB9hhzlju+W7=JHjNTR8^IFrwB*> z0~0s)#|=mPn;S0k39`rh>Mrg$(`z?9v6DDSWh)I~gzM3<(qhVQ_oano}xvS!m4^irB2z>V4Cz94Aoc-eA z3>o4I^6z{2NJVw--#ewZw!9D<1n*Dl+x-Ov;>q>=%plNy$h;&Bv^eTWrVmg?BpHBu z&U<(ed-(_s&8O7VLZ7Uw;9fu3oc-vW`ft96xBD;7=QBecL}$*dDv(oA)i5L{3{2&d z!j)uj`Ef?%>5#mJP9FDKTG+#$oM4NvbX6fC(H6!@@QUmH)$k2qz&3@Kv{09ctSpDU z36=f$!XQA_rz)B)bRj4A8a~nKdTYWQLgIU^a}-9Yq+74_MCf5ckdqb z({bv--qFurEqtt}H69qnWCs>Z@9Z}tcrOc(C-)w3F-h3L(XCFmBKHX+DH$c+y8 zZK&33!yXKU=TQ06TP^dh-SCKp2Nvuv&e-dS_o=I$|}G44}K0xNFNw`BRr#ZhmWq5G?n5Gp@Kr4L3f}|3iOFxS;sF4;|He|Tipo-c2W8xUpPM4< zPRNka)%b$xFz8yz^mgxX1$l1on{vN=m=Y;*^_iQeh35p;a=`vd5=v5X;69e$cXUVNt4u2RpP%(H{G-1+ z8R@n^``Oj3#ZN=`{|TCf!{IK7&dvQJ6OHsE;|QTr4ib{5*D>BRBgOpKhHM|CREbny zri0xs+lX~nj(cr2m4v0p(U@lF2R=VR79)G9 z+QC<8l)^nCO8!oNgdpPIX2BagP(rf8784#`^3|%(@?&<*x|6BNx}H1tzrL%_dwb0uyb9#(K~b*3fEsKS<|_@0 zxOOEo+$4-2T?NX@zXspyvd?@v)*@0*QrSH=KM-*xi(Px2XET4qF;{%cAHFi}FGd+? zV*iNGqsa>s>wy(pq#z>>XbA!FtmM)*hMvQSUq)3o6z={6`)merwWR+fS7W)PSDZ)BONVOQcx@IMf1qBrk`g1tx_8k1uUFm8!RB)nW_M@+%O$Z~IMx-NH zO@ORjXTppNo*)kN9tIM@m9QNsjl68KL0$st*mLi@LeE;~)%AOhYS1ASJs;5^_X~x* zT+_1`cvri>PAFq$0MwrhTWeP1ugq#&5Z|Kq^x3m~iGxUec{fQuo;58z0h0`hWf zx@}s+_3-tDcj2+H1BbI0ohq+)tNaUeShLcQm?kn5f!B0fmgAdbryL=kNCRL;H_iJ9 zU4(wXUOw|)3p1CkkV8UqmV2R@@Nr2ghB)2AtVm+I4oi}nCu z@q{#7%3XQEwR593$GSA*S~E@4x0y1UQ2ZhPS3e&ol&p#l$P3l-o#66hlcVd@bgQ^S z2>Jcwx(6OJDZh{x?xUcTe@sZ^tXI0oFTyt%=8+W*2zBylcxMMOE-(uW^pY4bywA{l z?l6`Ky>UvGXw8&!4mhZDSYIyZ`Pz@K51-Iq)7Ak8+jxo@3|)2BrSi}^q{GYCjA|)U zI;uAt=%7^73E!v-YOEBJFX{8Q_I8}qx>wduCY_0Ffgu|=Oh;P8L!g#HkM4)k0drH< zG1k*AWun9=b@%}byz443LWt6k=y5d_srY7w%YDZ9`p*dnv56xM)N9R zb)#V*;;l4;cVys=G7i2Da_AxKsCk*^^s14F5E?bRYnB_dH%DQc$}bfcZ{Ik%A+LNF zQ~^?=R}lC71rxyM=Vz&pm+xqH9z2dQrErHR^vGQ7>fA4*ubA^xwwi6zU?OK6YvU{> zg-ED|1&S-vOzr5r-eAlt?E!hDHZuiiC_59k>}lz)P}Fwf%68nQ`NlqOn}vCvq3At< z?h-Gx*UP0T>+P7acxQOGNzXe#K;$e7YpoeNal^)hVjR-rNczet>NN9AGVDvmF7>k67Y4M_v%s7v|{$l?1!ti&QZWZM! zZKX#jGQ?|vsomW@_Q?|Y+eKouokU&FU`1nR-h99xK3ST0tvvN-@c>rfKXvnSC(2D% zX!bOIyot(r^lk4s{rKmGjW-(%-!1w}^_TNknl^k9mE4_nKg`x?T#z$7EvrM15wOz5 ztmc?y{$br;{l&Wf&-flt(YF$&tc+$s=#Ty_^8Xvd-eE+i8<9JxoSpRb-SF_3q4z5RB_TEn$j=WtN!8YE$EDZJ|uVgl)K-A}`Uw<{#NNVu)$uT0A zrs$qi-;B_*yG*z5NX^mTZY(u(450#jvcyk)g)hJnx*dO#xiyghfcOC{^9GXf5t3nBQ?mi zg?r)95!t(h`nX|l)*)6G901n-0x&=Oa<4S?Jw-6Mbp3M%Umm4AQap($x7NH+-VPtp z*&~#tu&CU#KX=>4*~2HUs;Ex5H*t?!@q=p@kdNS{MMw*XA7(~nPBP@Y_U;llP_B0A zXm5_LxGEg@;thw&WAWP3%}1FTc-!e9JlV~w#t#BnDY1S8_b8e5QOyN?;8~V;!Kaq> zZ8l$skrN-I-e-)w-c~C+%`Pn}{7viNLazw*3o{kEitSl=M|g{!%zgDuT#ihrRTrVs z;1rvq&4|;5ey8dM%)=#&b9wZ(J+2*V{#t3HD`om&9WHJXu@P=>`3r#xlaS#*+yVynbd~y$4r=Q^TDtXggwy+%YQ_nPJ`Jlawo2^5@GQ5H+ z&cN-;fV$7ywgct7{-4x7rI4ltQAW;67xT(&OrunuXScYQ1RI+Vp9{J)6pWG)Sx>-o z`tjDO?a3zLX(}A=)Z&7S1MvZP+g?W`|5x3l4Dn}~Jvuh*k?#)c*?H^^XfrM$a z!G4^k$;ik;xTe5CPtFW-d&QFn@7Np{u0{g^;6uOuuk4LRx-acoA91s;bd@?^q_)le z?)**(xVDvx!=x5gT;I*@myT}62ha-hF_k1>`9y7#D$~lMw8Lna`e@QK+5zFaXEH}? z5%icREYoI04Q|lCU<;sx=zljaHRqpm<{1s$G!W5hy~WcGgD_zK-#E^G?>~QwCiXsT zb{voq0if=2CIwiAz;UuJOMDH8R56SLaL(^+fF`I+q6<=S3`r%zHM$`c`()6kgu0lZ z<@}@By?!k~>LBvY{ECK$26HB+DtJAM7u;5T$DMtC@Y-!Ux zbfCA#cR-^VDAm-!a;0mUfa(Q&Tlp^35!UB+MeYJ-&Mf^JRsKjrS+eBf?k5+lx9hUm z326*=po3zana`$bMG2+jGDwi4vTGrzWB6kY!{F`86QiH0m`U|dX`mN=q$6rc>x`x1 z8Poh2R@mRRk7a+FoNAa)E#C<>y^&{eWq_vmh=CPDiP1C%JjkX*@Gk2@n}7wOd{{!kLsW>AuOpF zvV-@z1o9YlAQ7?RjAnsA=Z81_VPbAdf+ouhLF2|Lyph2#rDfhMepFM*WGuBn!f&FYPyBDkeyY<%!#C; zw9-_(2A1ksHaX~BwEm3BMIpMd_qDQ2zY$|CB=UTMBl3*X%)D!^gL+EgD(n5<*@Tim zZ?q=XiNwKJss!HV1D^5f{}(%rq26achublcK+nHDJO$-O_UIiV1mvqY%gLb(9VBy4 zQKMcz-~V3!kR%&hz4Y3`>Ho~)%%MD(ci>mC8yMRu=un0-C^+tph#^{@n5i6~domg6 z&kG`(sd+=@Tu=M&ZdKh-gaCamV7!dh0dQ`Fz=XujL<}`3`;{MVG7i(Dob8irIYE)G z=lhVdF+_!3rG8{jX_vkVs}o&fn9x<8lV6m=?CGO^L)Dy0bYK;qcS(kIGp#%==2dS-pXd@ss{)hYZ3)=7?_I)h7bthV#Mkg3WVhxw(ce{5kN*3xRjwAFwm0!a{Lyu z#?tOY+vSqn5?X7PfrFRR;d;JiwVs^f!%;#fci!E)QI&t?Z|2u!ZCWIj309N~(-MHT zLziE|nU?ZHP9~lLEE{+Xm)`aJ36Ep1@4pkJr!pA-LH>|WAneU6scG{VTx+95R3a_P zLMMRL8o0Oii`>MJs`^ak;xjSL1GfGj5Ig+0Gql>u^se;U(EWESTdRt_ z;$$9;?K6Ke6{8eAcm40PwOLvJoU3k#`1df6Lg-;1z*fL`p~_6q@QWOP1$uA;_Z4O) zH3<@cC~ar?uFRBKT+^NobqR~GqROza_%Zxn@dH+dnGRh+1LdM7P=7(w))Hc(>As|w zktt&YifUPOQx2wa_6l>b5$E}3F^=m{1%KUReYK?*MFVHLo%bO;n5{LW{fRebZk6{X z3+eXaWyf$78MC<-LX*vFS~I1iKO$pUjG40M2?bq=Q}YB!a+5SQl_9>X!23F*XWd0c z2X}$y1ZNgWdHbDsAjZ4`@+>xynkJ0E1j}Vv96j=aHqGu=SsXCIGMCl$n=Fo0@Q6d` zo(@Sypxfs`SF7|DmvP4>JF7mttOMZ*qA!;5u&1}Xeevtz*NLw46Hsni5I*0cBgx#& zmlM7veXPjGD|fg!KMJ{;uf_rp?;^+EkDp{GA@32y%D1svF+?TP!ZuKPg{T zjGY8iq-c8)5iAXqcs8XP&nZEMRiZi3uo@5BmzQ45AR4ru-FPPSqOiJeY~jluSirs96x^rA6e9Sy_d4TtRZbdE>5K zgOM%Acpi7`F+8L>u)?1HBq&5{Fe4y)B$^ukG6go73T9oKk*NVMM@^_epl-SXBWmCw zqGb3)>SG+`*x(yIQ9Z7+>F1;#6)oDZr_mk&@)TE%?1A@tF=Pn$&BV*7aGG9u7c)FV z+hY*f8g~syBqz8`W`@moyMAsTSz#dgtHuzyPzBVrKy9MQ149~If$xHWpp*XwG%J!i@DVBrn;KEsFOPC9$_xyX8k`tag;5qY??2PWVd}$19Dg;;QE|R`{-e@ved~^qe1bM+@4TuITfwvu-HpBnmPmKQcLqq|! z@G5dd)vsdVbvOcFsp{51-~MmAa@t>Z$hEhSjKm*vO4d--*+moA8ouufDvw@eg|Sio z;;ed1F0}}dx0@&(?iD6xB~#^1%E&1yk?I6ocl3Dl50on0dT zKKNo4_fON;_QP(uu7ZekR{=HPYX8-l11R+aHWTfdo@oKYlR%vOJ~*Gk&hoQ{$hHX9 zg})8${eNtD0yxBH%M}=+v^&cZ=auE`v|M5m@&X1(oIi9ZK2e5rbKR|j9i4gKAnJ1Q zUbtB2otf81MA;0MCCgb38qk;ab2QbkAY!u)cvx(@^VlNQaB zraPG0GD9}E_|VR#%=vm~T~0Zx`Ui*g-a;cj3YK_u|E;HG6&>-5bnl7sj7${LGGU6w z2Sx<|yR%YkvbrsZB&xY49qn6Na;!BvYYJhbkT*|MnBDEptpf@gz+@fJ-h4rW#A0$H0W+j1!UManl^}IsZ8M_%W z&%(JewIIYZ^l1OGtLJ!FgImUQ;Z2{b^8@mYA1$imc1OMq*KD{-%=w`ru)(b`si|ia z*Ns*}+hG1zfNAY(onvzWWrzJTuX0LDz%cCCFhxmtKYY+$WYU*Q>QYoc^FXh}2uoN3nMrFl8A%Kio|iWGXA z`?jNWnfJy9OWqAj_!M@ljVvpiWDkt7w0KxgE5xzyw6=)x-6>PDOPo^l9A(IY2GFI` z7e3nV+$_cUp?1yV%h%<{=fZK4@ZsC=TvA=U`>rq{+2>fxIPocoDP zDO{iT0u<1!Hfiazy&n+Ejy&u)CZkMH)(!XYm$RGp8f994J&jS$YldnK`uK0a@mLE!Tz4* zUYfhbN;1opx01|a3jR!H$wE_~ihT-7Cvx)RP@mdXr`A8g1LXsM{DyeQn`_4Q4~~;4 zprER#3k+f9bN>_m6X^f`@_(YG%(MnU=l(P)e}5XyZp6FRsF(0hzt+NfKXcc-Qm^At zLwXVgPcMt)rrA64vd`-_hQD4YW5=Nw=GboRHvGtYZ_+lB157lo<;X`S;vnWijP4QF zMCsBIF-vjhy1J)(>UTSwjQuTSa{cdHfZx*!B+e}} z(_}C!f0?QC%1~G?dUxQZ07oC5vLFtf%ifMJ4FB@>u!pYx!EqYW7$%34b^tk)b{yv% z`!Mt3dxV9*(pGf2ZeYeN#bdw^e)hHZ{q7$vT02p7@B)#B7QRv3eHW(Os9RrQtfShOuGuDIF`hIuvMG0c>$|C^uA=WjT;X2Hrf~MhggY&v!Qtj~ zSYdE%&DjodWY;23a?sw`i!*ujgwfMuTY%_jlicrdK_800#T>r}m#1-8J`?&1>E7>{ zcCS##JaP>KuxT*5G_by57+X*KQPgS5{l%seo3z*Fm4=<`AFvn*yrvo;u+obd{OpWZ5|p=)+3yvtft z|25|}>zGwhUhuEu*-w%eL<@np;s8_XHQ33q%#$?AQk~M46Nxs^k&V~#)AE}=^NJqn zzE~T4&@ZC0L5}0$yhb9?^2c*i#x*iG^MnCM5&l$4+R~-DW&*N2Ma|HNb&X-AdsUoi zkxVdH_BWPt*DO=nw%{>r*Yei>sr$RhaQLXac{A4BZI)6z&onR%m%xw)I%`rFgXZU3 zlgf(sS;l_pN3{*$=+-AIRPEkmuw>hzh<#7kQ7%$C-VZ%4>AWxYU8|8f^ zkp5F0pe!P5D>^W$&{_tL3Yr)%#cOo$8)`}JujtVm@DN%EWR4H8DS$TSzWButGXh3q zy#C-Qy$+_aS)P}*+Mvj<3v zFGj!UoE4J`xUlbo0q48YItAT8-8Xx8>+beCZ*0v~zy1c2yMhaH8*$AZg^RIrtPyou z2T2igby~a2bohrolCuTY$xttF{|&P4`t9+w~t=q7Hd zVB~#hnsi2f;V64kQ!|XRFybTO|B9*h+Trqb4zcn+X~yL;X5-8DyT0z=ne=tveRRLC zDQUa+sEl^OP@}KD<5aj1_={gcRjpwbpl{OlhV==WqhQk6{<}c;tby4&8UmK-*A7?G z=ZnbYWmq{Ey#f@L+FLLV5>d43qL1BAuHMgNfWXl;yA@yMMSlt%a zJQsEsQMn+udVpwo)H_!z_IVNR*OG$|U%N%vSlv0@A>gGmj{LHXkGTat;VrlVf3HHT ze^Q(M=Ssu#=ZRl82C}(e3r9m%a*kC^$kovWpJ|Jm{D}Pm>t9B&I8Xe+u@1i+U-!$e zS-1N&X<;6Ii|^Za3>(&ECg2)~jA+uAK^fosm}V*xK&le*^n9pm)X)e(sxEmH1bZ84 zrgWKk;@X2DAG0kvK4+2F;VlH2AuW4F9N}Nq+V^32Lxv4hq ziZRqL6Pe5A8;xk&b|I_Wv}FF5AHB39|31L-BN^>;|DP;8ko^Vo>jN|%cC8<{`c997 zrZIOF_)oUOWJVA;zV*|opnKkECSOr$%(uJkotYRhbd>p4GfS1{dx)=<;kyJ zhUD0etWZb3xLYCXd5sBea~|-vVUNVzJQ`q? zF3%gG%~kGWQfs^7mbu>(xMimQ>6Y2NALFf`TCn1lDZd~O+%h|sK776U>qnW0_{Uj> zS+j`IxOXSv)I(sB?t?LCzN~7X`~*MpL-7EYJgKE;>>l8px*G=Vz`dmcG+uyx)_@)i zxX2^8FS({*9(C;B)*fqWym1IU-fj|W(e{e%1Cy%kdu(kGkXG;cjBw0lN7SwEmpwKO zH*`R-U$s+z*2+p>%ur%7@k78d=AVx+y9c~rF}Ibm!=!suI9up3j(PJZ5Tn*VHtIXv zH}T;|m6EKnRUcKv*L%XW)3aP-G%Gjh>H+J%L8fz$Y+h;plPe)k@h*MVqI$dlS>xi| z5%MwJBHYSPh+B?!ZSEcI#>Eek@<9jm!%sI7QMpDlS#Jq+DKNxSx-!Ir1VcPRvqB4w zGbyyd5m*hyV6;1Yj2vRK9bvTC3H>(+zOQrRoX+^T?- z)||Z^eQ7jBHK82gU9LH1bw&gfWkVqXN!#n4D{lEAn9Sgj8(ZvRdMZ2b?`wY)e@#6^kF*qG zEua9xt1yx6&TEGUI62wu7OsD!RK0ymQ;Z0Lt5d=66DYqN$tW9eM*I`8gF^>siHhm{ zXh!udq1e-U>R%1Bf+s9?uUj&%Xje$yLX&vBId57JAZ6;BTf&U_^ zR%&!74Oy!sadj%?Dne2*cA7<0^N8Y#2W5U}9%}bvC#mxnq_d_wx-oLpm`Xyv91s>k z!TNCYcF2091vQEfR2@9p5UU%Ub?N=JETYH9DEZB1yEf18?Ev0uC!}>k&PG-S)C~x1W=>}^4gl`8lQ}r1n01V^&{9psmN3?vyrM-FO=lQ`N2a!NORvhZy(3~IIMprQ_m7wKTj@)6 zt~vR8MZ+b#hqv{X#ozUG;8yRPar;A0HJ!W4dT9GRk#E}~hnda$Qv>VWyZtNVwsw6i z@RUekXa)ZAp+)@rZ=?TKwyGKP3(7q{B&HD0m{C<*5G>m$SW|u&9;zkUy{NZ1x4Cgc zTr#SANrPY7f=y5e%dQ^}I^8}P1lyN%u#&TTX$G`zhVgd+6_*=wt6LG&lux;;P6mGB z0V$*6PO_n%teX8Fy?Kkx%tUwi^WBnW@0p;l|e!pUW^Cy%Y5*=Qq|Ey(oq zhzT=Nern2G@fVR=B^Y#cMEAC5TL^NS8l+0#gHXD~U7mv`pCX0gf%c|qr`DRICaMmH zW;SC@vEA@|@0m2ac5y9Lh>R+b2rb%~f|QAe(U<+cdPR!!>U+ZY;3o^MA z9q*CfKfxbXz2WVH=4sYHa;~J$q<_{GT7j$#?2!)`epa}a47*cnt%1vBS2?Z6Je zHs`zDEdg-%@H>TyZP6X05lxt;7{rD}xdoXBCkb1|;d4PE@^_y?YWNvE6>*;Runbhf zob%8V(8lA0{6=B^HiF%GsRh}wD5u3igOi;~cIB_zU9;+F_ZoIQre~MeUYBa-)Vg^3 zNm$;`QqLtKw8ybloY?0}-$iTbsf^!0U`PuL-H&^X;aMNcse(?e6=`;K(GrQl71)FZ z9y_gT_b&1?l7qb&Z9w;gB!=g1+pN9Y+^#7!5-P!`Z}LoFeP+q=uwM4=t^B@GhUgy3 z26Apg!(140qo!L1ySrjtA$1az(;|cD=Ly>uQJFP(^GB^LX7<-6{{H02HjduEd@Ta)>b!OQ@ae&7|49J+2lq*X>styhK#hBj78xdDY z_G+3xl^tzjc}e;oSb_GpWfT!SNG0nP+?g1D#JiT*N2d2vEAHFVyoU*)Bkwd3ub^{> zIu;qI&^>O~Jdb+fVwH{z**oCFGgR&kj;9tgFC!(xa!(Myl+keQ9SV{ zc>}e1T@?+R<1@0I=UeRFvAzyGHcR;&U zkHR*m1cs{;1khNXC!U7C@fM`IDHf!2^@VQb>U-nCQ6PS3=g*#el1$Ym?3e=Vh?zU1 zZX75$mzog=^90qgj<~fKV@s`1^A;S130i&FtUqh%c>luYWPiE}$GPM6LK@AvEx3a8 zDw1QoC0&n2@F4JO#WM^b71M5}%jjp40MuYfsHGdnpD-=Dn52-Mk*p(lUE9q~(C2ct zWxd2lzj^qxpFv@Nkq$?%Xc;$M#L58~OgBI^%!^&(Ta6Aa=Z?hG!|r*(sHVuEgku$e zr}xG~p3J4a`EkB_v1>sLf6$joV_Bu_-t8ZU`LUB1@CBS$lu z_ooFlAC}i15ZFMGc~1BAyamize)*{Vf0h{hGM4kRAompheTV~coWRMmmMsQGI)RgC zZNgUC=7{uED^PF%D^Hd>MJ~X)fIr>EL&lOfBbCd4BgKYgwQOfnqh2tXwxV?E^HlNB z`KHN3M^i2NJ1x}~LlXaT?CI419eYau=h%}U45+th)9&a9o?C+i7ZKG=C&XxAtmZ)5 z)<|i{@p44i>GhUorCfHoV`76VH5`O;@-f!_6vc!dlL-W2Rcl#>k)O*Qe?5?C#9^c%WJyR&(S0)C9Dg`q?^6yp=^p-Zs_p_UtfcjP~ zoVp#%gDkSVKul0P)6*-hhP57$c`Qbx}*TJw~29b>cc`7wC%LDjw1s1nsYqQg?6ImSRK#Fx9CgtgeApZO9 zV?4mUvI3v?n;@Ke0f?4CbN^}!{U-!b*pEVPp=%zGcRu^@vWl@NQeARZ&*Kvidan6! zu;v0)Ao`4uDBL9o;W7Lr{8q4{U5=h~iF8!EBy1JYXce`y$k>|HXO3h-f$Vj#`D1O1 z2KRBF)&g}}(DHbb@Jk<{`|V-4%Q6{3e&qnW)*tM!c{u>3*A&6+_`XUZmv3B!Gb43Z zoiCwTAompw`VVaYcslq8$IkDM(}Ge1vR435jNGbV+aXd7j+@=`a>_>Ny_>>*c%d7) zDOTQD0){#ZG{3fN+&T6D6%D*kR~W>A$^*PlgOFP*L;R ze1~r`4&7YXm)GHypY`x6qc88r#Wr5`I(+X7O@9*yz7qf4%U=!8fvq%sG3TH`8lhV9 z2$gFfZ;l&!X%1n@46|9KoEm!E$G(!o7YO442V)elHf2v4ORHZ|4ZD&se-oK!#KHqO zIVCpU&)CMsFvfoICe-9{d2lj4#P_U0q1`xIE}+O;q$Y2=r>f)W)6eovPsMXGjTJ2_ zf~8BPBY!P2{tqw7svUVASaT_nc@+6E;e1D1w+WTybG47(1Q!Q8 zRKFCJei)%g#I6#wb}y3@*o=SvsWZ%SqEDvt&4S~@E6d2O!zp)bOq2Ux#odzOy)bq?&Nf<**>Sj0bdtEXTzqvj zybNDXC(*6cfH`WS&4~H0NrmaF!W?l^Ds|QTOr7X9Rcw<8MEtoZVd5 zqBwwXT=m#LJ%|X$Zx1sb^Dczr0KJZJIR4FbehqO%NV{U+d^dHc_2;?5{-v# z5IE6)YJ6p#aYf!v)K^K>KNuB%?7Ruk=Rc2!X^srRDo30VHMV20|`wCNdS>PzTPeUtti&%{z-}(4`u#aVmoL(SS!iR=PBD zc2@IA%C==~{yj^%UtU0ciQ?W%>e@s93D2`KdtO)`t39Sm>$*RuB<4`pM?(~=uT8eiYe85 zc#+JMO3-Mxd++fnf3y3!h*7e1@&oG#exx%rLsQv@&Ov z1+?5Tp46k~sa$a*F5=a%hn!20^vwQc71dilN)y~C!{5$R-|Dt>-oaykOc;w+$?^iV zMx}ktIbR=5FSLi|>t$XpF!8dyhL0ZEFE;YwEKK)YYlLwki?`0UgF??Q^3yRFgj-JaSINEK$)J*8u z$E;@+l7^okxp2czza{`C#QJUE1YfPo#Awi1#M-&dz3B96F?Eu+`a{}=HnSc@)#Vx2 zjEU&?P1wE(sfI%5)n5NIU&O|Ko;W`>zaoC=@z|zeiZh zyg-v0Ayl(;>nnD*e=*NeHQMB?&-*q0-S&{J+&hGKW^?U2aY^7dP9D1t`@V#58}0_{ z{d}>A1s>F?&odKNn{ezsQ&+uo*m9$q+xBVi3h^lU&`_s`=R9xz&U<-(==wb421yg? z-@eIgf2eSMMe4|$P+&FtFzpH)+*iZF7OA1k%_Et|N4p0aZZ%NWyFHVAt{5TGk6sQlI)*RR?;m#_a0{$sHxM$BCXY zDf!jQj~OZa&n{E*Zu+%{LzLK0q~VN&J>7G-D~qhBnj$Y-97o}Jt-YNU;?4rU-B2tO zi;I3gD;S}DS08Uoka}PXv-oV$*AmPtJbzc2 zz0TKaDY1b|h%WOZ<~&+wU+jT;rynLX(Ya(+@o}icTaSt7QwNDlD!zG)S4c3$LNDd) zrq8_yFYN5AsiRtH$2#~{eV3mF6Uukna`yX(#B5@{_QVCib0Y#r@nPgmxZ%i(-Oxj7 z+{j{GKYFe~9Vv`FTN-dw?#g?|*PZrHQYu2alAzKZ*c#^$5A-JDdccs&)ng}dBW+(OHYER9-BNM;s4895Jl?ikIaPVQ?QLeX5e1+_R zBVL7!-!O-J{@}1B+!rJCd6I&(U~xt?heBT4&gvmp8Q=P@&veF_Y#*9My-(D&#=C+7 z%HvEQa6FN?DmdwyQ6HlUxYVcCyWLgSlA(In#PQAG*AMi6_CBW-r1;$6*y|RQvU210 z!i%kXJL|P2bYTCij`_Z;&YtptEeL~K$Q9N;f;;2E*9_mcwgMW9hMKPbm0R;^v^~CAPH(<@}m$?W!iJl=Lu5Frrl+4 z`>d$;F}g$C-nXx<-@#TeqIo;3V_Anb@!}R7lGY8tDlxfxDm2-3k}6Ok5dsl`w4p-U zd90{PN{>vD2B)e8N!El-#QkDZj6Ya{6`~{D5#Q^U>EqMpOZMb%)kYBN~#; z&62CxY)~nAB&NEs#GPqc)cts3UffCUX>xamg0Gzh_qKk^rO@3`o36?h#AD>kX>z^lt1j83bv(P~Y~&FQk1 zb4=-&0j!z-YWVAa90d5a((msum|rX0{|?feWbDLfP?6Q}ez!5V8ggKX1|5q}U6Dzl zABE@XDaA~f8_F~1a}PF`O6t{LKU7If0)9+C`e~gXzaFkB6?P#i{$$h?qfwL^FLn|0 z{Ct|use_q8dNNm{YA@(X=jkc(Tdx0sQw*m9HEGhP6s9Av;=N4+jRb}C$+i&SN-v4Ut4k~Y|N55|KqGZ-{#DEylF>4~S@y;E}UlZ!nAQQ7nF@ADe)3cK{%y(&3( zSAXt_G@kSZ!pn~IFXHl|k&Z#B`?x#q$*JvooI9Ro7G`1AvlL7(UNRJ-<&mi;=6Xwp zWQ&SuT;WlwCarT>1Gk^u)RQIOv2h!1>xHp5jtwgwmjFXS1!hm44_cYmc&{(Wq*>|~ zL>c%z&=YLR*(s}W%FJws@&oOi?^$*d0DXqfU-1~YgPUY)fZo>u5_2AY(uvsSwiZ{V zi5q@E79_gm%>^Ly%ZWj=sx8Xax+ZtEp~U2&V<}JVPsS)`oUT9gs3airb$Zd2u#mY- z+;9*w`@&*|cY%!*E%{x`cC!x%fL1syt^|>e{g8x zb3XsX@c}5zHo&q8tPOv9IlO@{OIBQBy#^{xqg`^lyhV?o}N_b|zmnqwgg3p>pAt0vx3Um9`qxw;%36V3Q?$lXR}WQ%AcO`zJ( zHUHMMs&jn`@3B3HTayp_OzVnU7>9SoogYWdU~`R;0F(U%>30u56d+VSa{^gN8~Z(T zl3@u1Pd=IRG4~>wFM*H2FNxFc`PzL0Ai(V)m=Rbnai|*v77r+3?}M+fqIB^whW!c0 zo&eYF_ug!4K#m85G6A~}hUAE&1gbn2#*y({c7MQ&P*{ z4m~Yl4FVfDP=^1Ywf__O_?hn(k%6SR0@^_06*x5oH=i^e0?bZUNsO=7Mo#){-oRR? zyW+}0Ph@4*YX=k_Jcb zNMz4D>O}IKgzUEzuiITjJ@mBe9Hz*lN0mL8KN;Oq(>^s>Jo-_TAY8Lf&0zn%nEb5S z&nf9d<3`IqcmN{A&!jwh#xL|2S2((FF=LE2H#pUf-GgoaN(fZa)J>~NMc-<(rg_CU?@#kl4HYz_Pbrq< zb(BQ}y}X_6z`+}-+ntO5x&go90YW+P-N|HV{r69%vB}$-T0ZC~%p0JjE2-_wmQU|=) zq0%~G?~;(g{LzcZ{sy=00n<)*)*5*2bO{r9tU38?*e9pf0XMKM=C##O%T!xu>=AMd zHG4rwWk28=TJL@DgE^MkHSx%=q);g@)yLiUSZB_7L1Foq?4|ocw89!3BnO*OqCM0t zq48D2`gzQ0W(2#JdbU2ekv1XcnAcUF+fAjnPzQ1{LL|I*9TpGxEh})fu;(qLMJxQ1 z7#speH(!hJ-D>|u9CXJDfPL+St(H7SizufqRFd<~W@e(;!UymIPO(Oz9?hZUJKx%0 zy#My#K+NspfJ=#$gX3CSQ&rz=qI2Kxp(DVG@JDL;0({tQri-x;O`_kSkt*jx|KJdl zeW!Fy)8ebfZI2$BPn;V7H2jrm*GBAE{o7^^7FL_$bYb_-4MarCI4`lz++LbD#W?PlbF0B40& z5M#%N{>rgft^B9Bcd9rl$b7EC`aggl$KT*a^j8EYdh;r5069f>7Tm8w-n?yDs0WWhF9&m(W1H_AmtkUAvfXTW9bB- zAMxXtx4%>CaJ@#y^jV6;wPlJQ@+`s*zw2$$tH&2M+Rj5~xtlsX-&*&rP#Q(k{@ z&*Wgh{m5C*3ai+Tw)tESq$n!X(V;c{iXm?0U5jn}&fSj-K0mb|f81xh!8b}i{hMnn zmH6E~=Jx~my+8ngtx6uyE5*=mMl}3At$pa+^Btb3?L^gbBctvahr+Ug=yeUMCNgOV zU6B8A`fmiH1AL5?(fE}VKnl#{iGXP!LFg3@(ql_G#{x8EfS4KATu{8=UFPf3!@v11 z=d5w-`5sBz;1>IPQ3(<@ ziL{l!a&nmeQRDly6R*m#R!3YKk>tMl6Gnm73T&@WqGpbD*$s9dls~CYr^-+|#pgyA0tShgSu_0s`Bu-VkaSr+G;~FFnad^s^=C0UL)j(iQgtHsiVkkqhHKWLC zSVaF)21}y*oyf1$Uby_chX7Jp1b{IdgpcutyGdP(rNSkpEqd+wZ zD6<}O%Rv(v?u=6te1grXLnr8#yQHx?-A@%K0%hK~5Eqo1uqKrYm$OA5jcn|CmLz%0 z8?#h6C)F8^b&QFd*kNcBzWp-wV5(tv&5(Xh9FiiKIm60?rte?y+U684sA*509odng7vmDhG29c& z?g#irYSmmITZnqTKd_bn%Zf|Koa*!#ygFA$5cZ5W>u+tkIJuB|{{8Hvzle^>$vWlq zB1hB#t$?fj%@ZA^oeR3}XzowZUZwt}dDn=j3a36~Y8u_er>%~!&vbaQ4j&{;7GBIe zdZB{}CRh!gD}`t(j*6GdvaOZ%IPvxh-BI-&H4|$;5g!WVYC33KZm48S0`+qEWkP5L zUmnmANgay`(lmUAe4-Oj_zWF$wk)rB{-aa!{6t7!B>hc9Am_-Vh-ckBtBpZwzCGkX zboQIAF$FXwfb1`y5QdM6n;G<_J{Cu=NAn>&J&Bt>S)5Jryz&^)Ex>v{beXD;-^)Lt zyC8Zm>}^|d1nM5^8ENXYpq{W^Ya z$21*Ypu&eqzh^H&;O+wgtRrL>016YD6ZmlH3Ol(p(~hGE5lt zMIBzWOrMH1pYTbEvWzRXPw;k@h?tVTyg_j5t7qO9{@VwE4~&R>=Y$AaF0FH%D+W+Z z1BNTqKu1;3M1nej5`WVr^!F)tkWvZT zH-FA(=^=@P(sDu6bdpTRA%ybiE02RVHA?q7YZ0!C?_K0HT3{okFUtkW1fKS{(<}&R@K%QLwD$|P(kz6R>+oisZuOY<@;~8nIAInGAOrb zZ9U$+V`FX5?2fGMw*FBYIVIfsRM^}tRNb+L85YPSLfA^ckuNh}0ztt!1sYZqoJKU2 z#tQXI4)$WQ(+=A;9y@}FQ#j?w$`ND=yDZpk`=&XPIeQFWQDOi;=e*gG)~L&xlEfiJq{~d1=-3AV

    ouQf$hpYSG{22+5Cu0ge~k9Hh`g|VeO?0Y;blgKyKYRy975eHHwzuOV1KkNwqc9H|}t__Tpq}J9?(x;ZSLvyt@+w-V&VtTyU zcv75E!DGF|Aj`Y}&VBR6LoatsaxS*uCD?6*jao8HbE;Cq3ip>%u@^$!c-b}_Z%SDL z*ny*-pHsKDZgYfAgbP(gRtCZIG^=}}On&uoxQUfy-6jnav=nJ|4K+%eu$?`zgkVL@ zxqLLxvB-L;_C?EJCI-X3CejPu)Q5aTz3%ikxCYDw8W={@z=H^a7$F+I?(2@2TT3;4 zbCcBgsl-5qcN6b^=A{Af;*h1)x?7e2j|zd34Qp#I8NKQ#-QJX-yfiYA6$aLDETUL zvq|`7(77XXV(fuO+8M|=4R{(FPYv<1>)Fk*JfCe(#Jlo5fh& zWp{*4pt^)?GG%UdSuVBaMGQ{fQ`4$PWwg)k^%frwfeV%)^r;27t+_erO6F{_{@3YD z7uSl}pO(Zwi2^ge-e8H%JyS6YWag0;?9|3)NI0Z}RZ*AaKF& zRY-ldKsDIz-KL%V2fyuDwV@a52t+N$!>eV5K(GmSdfU1B5-u8ji#=0gV92$uq;Fg{#Mib@Yo zeU;D7&O+nQ=H(agRtYvL6f_0#D8FnJRp2uH>(I4?6k)#sx6)h$&XKT<-7LA2y48&n zDyg6Csg3mzi+*c5z5CNccZD9kokdYT=AoLDU6H*}Z}ns|n0l<=D|na|&^ErA_Aw$) zi_h@O-JQF{;Pm+FR)%GD@C##24I`TJCKH5Hr0yZqCq#kVH7V27M_xd;B8FIB_yy~jo|JU6` zTHf9eeVTeA!Qbp<=G@TSV++iYTLh)r;uxXx#2Ci4ifyQEBH{?6SgUA75k`JfZ0SS~ z%F^`9sb9lwoqRsJS_hwZ}7|0>K3`vzR$`wkvm95R1#f;j_DVvwKmd;b<6A5Q(--ua<^1~Tm^2$-;OW(P**-s zP0l9O@NGm#HPjt(tK|z>5)t$4x6a4Dxs>ly9Ly$BN>d)q3`8y4gH zZ&nRmZHrCmreixSkZE1j0-2^VH!~&8ONs*bqWPPu4h? z3IK%ZMkN+VK3Q)si~&TU2O9etcY}*rjqCY}OPeGVI{wi0~ui1`NxAXUI=BFvp6stvpsS+5S~ z&BqCS05YJX%Hbk41>J4FH{sdU;r^o+lXhw3#tLm=y1-mM z1>DmDni`DXfYqjAH&chP6X;Mc1#5|;*BRz@Xljp%^H};0>bF^zmPAeOX-TQ2HC`h= zx7cdF#Lap4YM4kBD@;q_s^lgXn9p;9^=@(i36*b^^E0Sn>C*0P6`y+0Fn|D9x zDcO&A+Y@7AJS3hz5O#@U}9!3y>7an3C5EAvvG}GkR`j$1^x%eS&a*T4?0|PyzpNHZY_K-YXg1Wvf zK#K=GS9?nrpSO;7oU(XyKv8(O!B;)@)YELe9Mvf6h2KN(*>B^O*PDa$uB;k7f37Z+ ze2<*%75{utHkjH_lc3teG#Z`Lv>bR*&KYyW(BHE1L|M+j3F!`lGKGEZ9Jwkvsf{G6 zk=uPxQBP6?7=r9haMOv@xE!tOHwwh=#J(d4c!;-2T(wwitZ1hY)edJ8C666e++=m; z!5hjJS35H=aXKe!vYpHe!1efqW2{ipHNb0h!uNK-`KE2Q(R8cJ*HzglQ0?mDt>-G$Wd-NF3*b;Le zUoZ^{H1+x7#`$^AjO_dU`#TQ3?Z>w5O?nh`p?^Z!JIKwm7wm%D*gjx7>)6&SRg23* z)FJxJQ&-s4gy+f_V{-wT=jUZ3)13RmqieYgavk%ElzAKs5A2Fn z6=20WxJkA4R!GsL*c%5KI^erh9c1spR)K|#p7i%fH+e}?AW|!q z&eP6Dzf!F*e3SdIx?M*VaIn!4M?Xi06*h6sJHC8@0n?TK&mnLZs>=rN68d))W#^k6Y)P$= z-}v!pjpijHIg7WDHG~{XTba?qEP)nj#r|r=lYm{d1-FZT{|82;(Em11~3T0SgY|7qa;67CRNGm=GQo0CPVC*#Nl!6eW znag+4HX>I?J>I}BaZxcU8}j)&MS80!s=vp0bUK9402 zfzRZ>lj)v$6{zk9H>8u5-It zcYfU$KxL}Kug9#1bVdmgaDGpbJnGzC%wgXwRH1RL_4C}kJCjfRBY*;M(7Grz@evk4 zY3H;Q(4k{X)o$yiNx5UwSOF;CMcFV7vNP;TCR7$)9&{|kn?|8d`a3x^2DORmMCjB@ zn@Cnfvr;NJoe25xnU*nPUtt5n&DL%VoV#hU4Jn?NF%5Z^&4@cGVXv*<-e21PTch!V zBZ%AVTG%G|a0X!uMsx&uo1Bk}sMuzOcCUOlV4;N96!Cf4k_o+PeYbC*;aFx%-t~)R zA(5fMW_rzhYEmcn=kDYJ7ekF7yO)%&QHAW6Izw%nArEinuNgsr4#o&M#MKSs<9%~U z{hVcA@a(m&Yjz8=+idg>EMQWW?eM$?M~E|b7*{Zskm#6E-vIqGt)~XR`2)l?rbjzV z7=iOU_t#FIfBimhyqNUB#75+HR6NTFG+Hhhj(qZ&aM(C?76Ws^9(3NDXr5dHa6ZBwc zTyDk^>M65b9x^XQEh7N%n*dP+KLL4}Ntn z_!cQN!xJuM_+q-yZ0l8-S*Z?6V(w#p+dCQ)&gTlcPlgAXkS$k&)&&9==4_1iJDmNp zYMPs8+r55`T0RO)c&h)=<8Hde>qk=scu4|pR<6F{EN|G`=WE2`b4B{gdaB92BJ>K# zkm^nkX2qyVoT%h?Lhh)Lg&Jy)c;l0M+_ZWU`_T8>V(~BhLa!_dPf0ymJ7xFi<%jl& z%@U?;?ly)cww{njxW_(z3AHr{{L1j7-<< zR>?OT#REf~O=>qdiu<|GoGl!IF@@l@WHGi7b7Ky;eH}MjR*{6Uho{BLQ%JYVZp!5w zZD~lBsz~#@PT_AnRp5=x9 z7;b9Mx%Yr+u+8j7hTYjNVRB=Hm8yFyMew+W1Gf~1z5SZDLTo4DHP{N-V`KoSufw_E z0|)|`&1p<$NIT>6&1o&M?(lBHNV((bF3R)5vW~=rL#aiD2X)=H1&oY6C@cNwap8uT z555iwNh2tR3@a#|o(H6vG3Hc8bu63$6h1aNmv|EIsTojACTmI(?%`#U!xiY=>F#{} zJ5(NItGv3T;5e}pra2uO7@>xTLfJYwWvQc_mEs{=$Az4w0bSZ9en- zVbh5l!ee_>E^D&lx3m#HGAt{Rg>oUPr|06msiMU=QMMxc#SK*1)}!F_U0F~Ohsk99=Sc&JjUQ*_lY6vjRs6d?I)g4-wv?b zzsf#A4Tm~0U0%k#j&0LE@*CsEk#pP9!wi2f>nM96KGzc&xpJ|=M+xj0sj(s+wq6Ks zEE8OL)1u^!AbCnBjKpU&=nT}}<2*Nru>Wft8<$b42z&9G*Tw%?G3# z2R9+7{+O^?qj1k%TT-?VUbLj%xq{2_R(X@FTJ-3Y;IlKYk2Y}m4IA~t=nq**ST%Mh zGPiIhi3$h3xf&8b)S`LRTPu;~h@cjCb!u~?6f4qFwNb|sk}sD>P=rS**2&@L*E0?U zdT03sf7PP~*4Zf1+G->O>amBZLr;>g#%3kNAjG`F(_3&ZYa17K>P-|BM4d@A@jfBS zt3Nz;0|K`dj(Uzy2y(0;7sP~PjxlzkrF3b0GmLaY-⪚HhY|6>XlDCmtk0c7}}qZ zC5N()P~+oyV0^AIj|+AY+lCZe1{(YdAFl&g=#Mv z{H|xx-g;XhJLeFGI#)w1as}S)2-Rm5Qj})2M3PB)E#+^hx(~2mx^+3!!Z->UoT9=h+9QiDYZr8AE_K~$Nz-yV zVi^t-A_W)2_@6}zndo{foB#gw*%Z)ha|>Y~%7Hq^+Ble6#nddKL_>YK*<>ACq`2Y$ zszm+CjdH23#|J1Am99HatE)OG=N^a-!&+az%jTvq9Qd|iYb=!du-oTYPo(mZ5*kd| z*a$V4)QKafuE9qyEX<(Gdq~ z)t9Vmd1K!}fX1_)A1WncdlPtBPchEa!)i)=nBU%c@{}rxLK_lOpF9qe@cSCU5!9whR#_%I!Yb3(q1$mT5xD$= zvo_n%5~f~y>8!Zv!-+v&OK@?B}OLrKjbO6K;PFE4_uk}KMfA6@6TAO0e6BRxSWoU(W-9(4c&MEAJP zjIrj9>n?)4hX^50zE}mDPSY?qjd`i8`fxx5MWq_a?w6$})if;VpKDj8Rd)v*!5_|3rNJkW`?clXQ@OGGCGir7Vu;dp3p5SMg zWyPMOAxT*@^wc276xX5W0!u%@B!=r6`n=3_38yL@#vhA5(lzg<;yy@P{eep}<(@=NtTYrQ3ps9$Gjr3CH1 zbcB#mg1S}}F%`-bVL1Y%S(NR6jQGB08Pylq7Wxo@(6(~%M)Tulg`WPc`ljpaIzJb5 z>@we0l(=SDM-N_R3b(@>q*S(#vFm$F$YQci7;ip&4a#RrU90ai-RhVlDx`R9&fON2 zaI5ED>-Tq&3$do`et!C688|n#7{2&j0LC+E%v9wl;69)>5PcHDNv189;c;L^uFFOy z{5s%oU9Lqn3@K%7?w-%@M0djNTD4nV6~%UpKED@#ps!PE8UGRk%v{K7%3Kca!U(Iz ztHf>KH}N-gUN8XNLHrF~IJt4$R!4nbVO6YUKz0^ss>H0osm67{a^QB&bMlKd2m%MB zz4eAz3x*zx#x$kpGuo)A8+GzPu=SFUGSQ7QYcS77OYl;dFv6A!i<5q=O<85T9$Bo< z*zEO~;}ko7cPmN=0Ek?14;G^n8cv|B`@s^NHD||cpUI=*$!)B(ZlX6O3Sao6t0Pme%fRsgc2fckbsfz$ zq&c>mTGn*8e`HyDV7kbTuacD**FT%&*eeZ|NRd8X^_9H^K5Aq?;uP-V8BLJ3F#oGc|}e zd<~X8=eK83pR>vkDmCeL;ZqZrCd4kkD9gN6Vt?n6z*{+CnEW@l&)^H8dUfRRV_9e_ zfwQ0giodxJC)Db}(dAwM#}QrPi=&`=T`Z-%NY2eYiBS*t?9};o%zx*m-hvgC8lO!H z>9<#WsRm=T;89#>jtkbDmsBV5r4AGVZxX2C4QihV}uDB!G6j?vGYb+xst2J!tg~404?F6hlg^Xk0*K~RC+#zTK3Kl z=-3f7pNrj*JF?R6kVXmQ*~n)F@;dFHU>_C}h>af>#jAvu!r4c$TZR?j&9c(*m+7X% zgqA@Sm&!6G>_*9Wdv>|-NquGQy?5XS6j-2SqMG*P{JhtakVMvr|GJwKCA+?l3@UzznV^4YO`yF2ESlk4sHwQam1l&GRGKW9qIkiMdhMgn7#vTO6VulR@2BnfA zIQ(Pz9f7^gu@@oF@49N+Oo_y8W}Yt$$}T7l-k9V6WayBOXl=$&y;AD-y$j{jBXKLF z_ie|wBz$OPh4StrFIsqv%rpXO*vXlfkX)S_+uA8)g$*Et>mWCg9Cg#Cv>w=h{YJG( zvQaO}YL$I-rg(++cL6_q+nmwQcF~}pFQm=!WBaoJh56*=8F!gI$lJ)%p=lJ03*~{P_D;{s;Z4{zQhY*tcCoN$?@9R5Z`*>l@I7cpo-< zUJ)EhMFRi+#k^Ok+ypmJ!3DaIbC^9roJD~}P%j+ti&qlqvUP-PHgu$_zm$G_=uJz@ z;4~bq`Pq(kL+ND4w(9j#r;U`ss_9=iOu@}FVRm-`3(VAnXOv3%O2j)_l$1cTtQh>V2Zs|6lE6i?iR6=QBipk$@?5(gIk!gz3f95scS?9k_vD0y+apUsS4Vxa7JK@p=IMPj8DBP!^eza9IGf&)~%^Y z{O8gmv$Bnkq;8rVLJwxN3XaasNZ?-KHzIvtB)xi=9MPw;!~$MV6w&RVg9D`qe-&x1 zbIb^G(;`pq&;OX%LeMCx$uxehTBIufs{8GgXV)$f87JXDi}moVJ!~?K7>i$i886RH zZAm)~UM4`n()h-lQ;%-??L8#JuvoIet4~MLy83#zsl5n08>kaMG|E}aRb{6#)W8Bt zONQeJJd$j~M28_1JV};Ox*IFBgZj%@e#TmJV!H(<8iPi!eGJ-OBR8^e4LMv`1z-is z045SlN+h0lwyjSSoUW7qGGxH)h&(w_pSI`7ywKUwF4C5uoz*6r3^I=?XT?RN>sx&7 zm|E~+^1G>uw;^vs>qcpW{#|puNa^|`ySjWca?ajzNDs5m+&l6i^V|dd7w5MeT6tn! zR}J!)dG){csSdY5HLl+UfEIlnJTz8J_$K2{oadt!<01_kqIVR`jax<%ho7Qe%uK~S z;WwaUKQYT+8mhGL_p`5iJt0Ks>hlzb#!x+2ORR%}EUE9)gF9=r4fAU@uP-zb7@Sp0 zwqzCaqL64pB=H5|CH@+?B0^~0UZz-M{i&ddnsHyzqI?t-JK>Do?!~>XYlw-cuJa z=-{uZXO!0~%JXgqAW35NFww7gVF#=qv+wChyWXMB63p{6#hug6XF4C5Jvw~~Hel1Y zd%dLCZhJ?WvzGn3>BBQZn825c8@g(QsG^$s3Mz-Y&%EfGdbr6v7~^I)5*Knu>cFDS z9Ra|}ZGgU+i#5$~HUL%qYLkpQ^@Ga?I;%$2krKoy({ixD*uf%5hQQoKnV*Ng>_+Iv zKtq>^9N`Fl`ZGWPm$WSii3I-${MX+yU_*bM#kI6C(RQ^Xe+JG3s9$#yA~+oS(& z(xCb6Pe+i<7sSOZ=N02L`Te&r7h#|>%qWjJ!@gLKBq@sb2FU3L>5TR$ z7(5PneDbsHN84#v$$6;-7W zivTX_(eN4EhuzoqFB^#iX>VMAF&oAz;^FHQ`E97xSRYX8Ys%c(UAJxAK_RtqLms-C zDHuI8cHA-DP32xmZ5w%;rB2c9Q{-*0UMY72p|r5KHBtushi^j8s~DDis|IZAfi);Ps{Y8iqea zlm`5@_4>4XoJ4zuUO~S-Okl&@xl6~94taCceBoxmBe$iZIZ`EnjInpnHvQh{CgEM# zBhvY1@MyHDMquhl<(#~A{YPZz!?4Q_b=xB!N?$E?NlLQ}s@A{In>MKPj?CW#s^MB- zC3hH{FD*+1w1BLoj|gSs1app<2HzeU2JiCeM;Gsj3O9a82iSfHWNj1>y_dWfY{`=# zbrj@8fEDJte~=CK-~_fuzU9t{e8dWJty* zIzGr8yeQ<6WO{lw;)`Bb_WSLOmJGd{^J@yemcIxqAy>c=?~@&GD>^>UNq@WQuS1`v z1^4Z1hy5&9unFn4P)8+@5de&FUvNP>9d5@fAyRXQR7a@s$Pr*K0=b(hB#3bfYB>F5 zjH6G_v>m|GGtr9_d|S)AZ|$&RkEueA7uJ-m_6RJ1htrj}U#D^?;OITRsL}FGJ{T2! zw)@2UxWg*Ytl*0}Tu16yN){K?c@{=equZ;t}*aqMtp{3fJ3fxU$i zO7ui7XNM6G+c8-$71woQ_40k}tI+g(7kxE!xy9#;bD7Bfj-fTX0%KRN)XD?=2*DVx zGjN-qc)8GdI|C%sr=?CA0M-dIp!H4h1G~SuJgs`jTW{k@%f}Nh(kta1j%)gUIwCHn zsk*IlTiaW|3;#w7Lm3plPy`3XmFtF=Sl&d+e}xO%dtWVCe4OJ&tqnd=7(Kmsc5VO3 z?Dad6yw|c&U)bWnielEHqvf ze}@y+yAx~qfX?>trD>_$s4+r3d`22jST4Hl&1o&#*qi9HqHRIJgKdQY926^$T{!|@ z!}daK!fvVxGk|Cz21rVPrzxq~TG zK>3oy=0(DhV}LEo2!Qx@SPqyXY6LQ3V05w?0L~%ue+^;hZ=d!<;Cx-#Q6rQXh;bBr z9$p*_8}2v-SoZ-$0n*^4>`*CoLC?0h@NAd4`px3P`R#T0vwo6|P~Jgm!nXw^R{>bt z6j%msIWGn2s}Ve6n@}S|C6JDq!`FKv2T+V;@5W|_SdWu)^fYs5Xe&CkEmrE=OY(h9 z<3QvRBN2@Hbq?*w%TEI#M@8SjX=&`Su1n_hD=0)&rlwK7lYZ38cLA#JCh{?$JFuur zcf#1$>hjTNH4hM&~-by}1eaJqMcr<>B%Jf5io$m9G#>J6bK}*&MzwiUIocdZ}Wv-b1kW zx_F^UoFO|kfXX}SD97O;UgeaA-LyR+l`^ysuC)7D=WczCsup>*ii;gTU!@`8Z+Gdo zRHuHYW^)AkQ*hzRY;g4edAB6xg4O24rjVmS2J)Fgz5I=s?xud)TB!V%fBtK273qtj>Tgy2zft^3V7>$Jk&2SM zn+Q024qyOuRDS+l%{0r}=lyT?HpGQ7s9;N#%XJ$OK^iSPDqZ=J4lCH>MT9|gtXGo4!v z`g3>@DL@*CjD6s+O#uw>%kkrZOWq7@Xe`u8H3yRsT0jKYGXA@VlPaJAg<}KS2vAW5 z3J}Mc-;-8CQN(Q?hZu>Tkf@@etr3Hte!epZB;Je0HBq8vC4HS{b-ta!ukE``ZOvYu z=CmaIta^X9qBsv6Fs;S8bkxX96ttm6kI_2PHl9X|2eQGy zpfgp|FW*JhblB)lP?i|8D}d(4y`M^#0QC3}(mXoo_b`s*|{}NCTP;}N`s>2{A{5Q_vcfa@{XX7|jW*csxJpzfcSJ*LD zKLSoOO7>1!^%G1{h>2r*zKPED?RQ*u>1DavX>&iNsFa4Jg7(=B-v!!1Fi=DVB0(2^ zvkxaNc-QKVQa6_T#xghELm8p)=F;)4^&LVoD#}*+Jx`HERmV@7f5LV%D6Gr85`-oI z%EY1&^4OqK#*0vzNxpA^*CHx%UQXXjS1KSVCu-}V+xoqy@na1FSA{`k?w+i^{+iIaWEQKUYqI;-7fH9z&g7Eu z0Yj!SO-@pc6;7G?4wuIQ+G@Q!=*q=UI%g>f&<{&z#O@u2t;VFXl9CphWEWUq)%5;C zrcKtCZfuNu(#S%5I&E&-7TkeAH__|P9lyF@mwqONZ;2d+^V*S%7vpOiVl^#N-_>5G zeN8f_;AcVTvZtz?_({fg)nD`rR}d1p`Ujsy^XA=iUu0?cT05Vc54=)Tn`Hi*!$??i zJauG3B61k;1>j8za;!*R8qpOVj@U(HjE=S9Vcv(Du1+WZ_1>kKN|(0uJ#?bH>>e&S z$m8w$Z{vp(vtC&xzNxzM(~Z!7br=7Ey+Tnzscs`57!`)ipc`N4yFk#0LZBnVG_Fph znJHLLWF$|P@6Q;Dc|!J9vFuULs;W*p@~J#!PkH63B-0K1-%5DzvYN)1sx+pfBJ0+f zVSPD9K9CqzBG<^UKYAV}%8nfm^nZ49!|I;S6m$K6xAC7<;!RxF&q=L}+VZp6HTqk6 zEtY{?D(Q`d>@9$(Bg=b&kcAqonGt5p^Temn1%N8(f+R_?^2yKu2}~gVqIiDZ)}phb z<=yj`>g&!BcY}4Siz*XD08r%B`%tNFM~j%i0N1VWIbs8wXvZ{gc=v=43p;Z-dX~Pa zra%+d z;?{8&3<);RQ!1j5aEj7nI_F({PWE#z!1+%)_^0z)h`t(PtT#+#ICcY-2%A(C=#GEL z+-6bszEn)8<4Lo>&y!cl*}IEht!r{B-e`G$eRd$BXtEK^gzfm2jbb_Ji17$6;XYF8 zbzbx3pA#O^CjQE6ETw9sMTh8IN;pmU_($m%sF?jT(nxIn`>{v;=GcGph;uRe-{dfV z5Z24 z+{+UgPtKFUFYMVkDSx!GqSM;kOEjlO>&rs)tyhWauQiIy+|LKu z^WZ;69f+*IB~Xg}|3M7b3tfk#0zgHWNFU)G!oW|mb7*umYHoeC#fnCRST|RSMjqTS zqia67v93o~Kk9jQw0*V(i*ZP<`f!XKF}3Pg|0`k{fllTe!;txFL`FIi$|wpow$zST z$_gC3ow4A+#NX8Y^7U~~!3C}nI`_4|`kr@*X6K7jRNOCBw=$$pm22;Q@)EB8w##hj`IOzfQs=)h zgYBTQDaP{Q6(Tm^Iu>&i>U6QVAC>jSD^&%FqO1tL=u(k8cgA`(e20_UGLagw*5;Cp zdp9?&*>X)ckFy8Y1}jT#f^Jm7WBKC12YV{QYB`oHTvFZ69^adCn(pzIgAHNQm!s+R zV^=Jd`ro7e-xb346sv3YOSXgB-IV?p0puSNJv5hEn)i?9P6qXSLx*+IIot z+7!}Ai}W77vO;I%J-Owi3uv8`iHOmPqO^hlKikXHVO* zI@zB5sZtpYB}b9A>O%%6j-R@jNLv?fY*W8O!Cb&(^qncqlKyZck1$Zp7pdjwaA7=< zM+`qlAbM-8Xks$z5DdGIDM(8o>3C`waBSk+^G}(2t!n-V50t!OWm1irYSFn_RQ>PZ zKu-G7@b-5pY6f!nb6&m}m|B@tfW`F_hqGZ4SP|xN$H@S;?l68O`?K@LH)HNSYU+?{ z>6ryb*T5vl*V)SQ1>Lfe*NF#^!x^|8?9dU^2YrA8#~{?P)?HXME#we&D0vT&*1m30 zKi&BxgOr=T+d}%aCTd^6%kygw$h`bFUVw^Pa@2nf{pT72 zdUk<T2A>VOeFz?X7X2-ug}##o)^QL_sD&buK~BVI9qCS zrHkc@l>B48pQKl*75@Y$fz1Pd!;^lKLi`p0iQvl1aCY-ailV%Gbz7kNBVS=`)$%5k zz$8p`=0PQx_u8>yvgk{lLV|@J)1gtm&gS(+^k;h;+mwUjO8yt0oLx3)%>n`Ujd%PW zViA053kS~CEo77?@q17u$Z#Fc?Y?eDf;KazW{td4(_&eEs^?SRRh&p6UkMlgwCiTe z*nbaw7|#5eU>yYC?uqGUxq|vH`2^GSC6TP{$fnTbgjzC2W~49?P5su+j~`{1L@u5S z+uF744B3}j9(JW**Qhznh?j@khsmNQL}(bSVBF~HTcD}LY^kyoaTqc=SNL|m*|6%#HzgK8`KiwzP1bNXSg*rHU+-ANRM`qis?8thhJ{Dx=#Q%$-6`7 zmi>nMb-SpZ)|*|Dxke`Np(n`;kH3zl26>fDg25oEAoUhP!B0KZ?TCzZp6I>0_taIF zi|@X8KVNidzwhyD3bO=71Ywp->d!I&v-%&!dyCa0fe|BZ{iO<0r3 z#Kj1ZFM;vIdwD4X_A@)v-sN+3?mR_E|eL64Mc&FxK(f4oKLD*m=whuH z=dX{zR!{Ob7xBR>-b}S&hOx3Pc~E?HQuwE$SCoDDkcXD{Jy9dPDAqt>e1sTDb|BsI z0TULpINRu6yj)%?FPDYi_7`O|2(QWYkgMo$X!&*Eq{FDrh`Hcvh1<`R`@NH9Kv(ys zt9HlkywA?xbh^pdxooOX>SS-(P==%LyzAe4xMyjZJB+h?{la~Cf<40gr0krnV8nEaJr=}K+c{<*0=+8YkWzIZ=&d#A~js<^J&`SVDwq+Ubj9so-YXW(7?O*F`^lRG{_j%RY>%uCw?(+RywYcvp(_4 zFT=v>G$PE|xs2VEdKV!Ej}SUTv197eA18)L3}x)wqIXo*G17O-+*TXc6?H2u4O~tef%crvO`h#G3K^ zl>Ut-!$9G_H9H78aJ0!=5yV7h0_6d)ky=T zdlAx@qV2PTcQPcd+?tMj8+jDH`SwZw>!y8Ll(~`b0^5yvS$OEZ82@y_H<-WeSRhv_ zhJT#UKw+tQeHU2tt16fQdvfl2ZE6qCIhesBA&oP#EFW)Jqtam4?^6c)bKvbu4~w{3454dp)68kN~i zQzzY7b7*ze)I`^lnUnjUT{`LGJ6M7=eL{%FQGl$*Ky&~GhA%V|xw%=t`5E-Z7JWVz z`t*tgYKi_ci_5@oD+GOUZ3qFZRv*!AW)vMD08M7e_%{B(1 zHjxF=zQ$l0g>T(C9~;PJgZjy>pGB`2dUphxj`%JxeKvuuBFMcL5eiLj158-CXAI&L zG{E7Dqu9p){^tQ&vdJ)44wy{FRf9`~a#;6a z)HXI=??!{4qV(Ryk%sNWkld2E?*hR)H7ee$ERD3JJ)yT)RPiW1<<`!+q5&;mX%rYksioeibFeuNO@) zo!m6@4PZ>k+rA)wzE#j$igYJL0}gyYcYQ|I$_*EiT(w~*dOPNBzxciy73@S2Q5doAQ z&s=eeiM%;;IV=04{lF2$jGUsuX4t(T<@VQb$>3P4m(w3a6?w>V?pCm=l)?dKn_By0 z*tqIA2Wo&Xg3B%=^5rPN?#yN;Ja;3GwepXJa!kQTKY(%bV6%HsvQWLbfz}9=;5&kf zfiZx;B#qd1A{2f6%NsM~j`Gq12J)w8tP~{*j=G2G9ku#oZueo?+DkeG*n!i&wTD3O zgD>YS_9)n?jPyc=Q_966`7(o;xdzf-b!;H5!gGiF@Mex725{Dez`zYUu{VM=b9QFK z(*v}u=4`;M>0eCX*WcL5-`IqW#NivnS0K|Qn^K5op-l^z2T)pGLwWFVWKA~K0tcKLV=y9by_(GMO051yTct>0&jP1@7jbb#4*Pc8@JFl)VuT=G=;Y?;|hyZ1X-Vo}IqbSn`w6i@K*NM9%t zr_+y6Bagd?G2z$h)G%$9j94p_qXX()d6oN|*WzW&9;O9sAjk98H}5anadkcg9e;9T z&anUTV~VM)cpwA^02>YY$sbyWJfE-(3-Jg@ZzS1~mCtq>qe{ndVGpqg#=GPZ4Pgw* zsq1-`7nthWXD{cAH1e4xVfxPQ>CKoYn!9H7MWZTZhEJtQT&mKW94r&<2NGl z4;%hBU2jH+U=^6QQ-I8~vXS=?Ih=~xfLMX4c4ERvSU*<=jeLv|H#ka&yP*42)1zB+ zOLhGA^0>w!b?c}cYj4-xM^73S!K#U_#88A5@BVjzvokmG#b7~zp*t8-16YbB79tKc z(I>xX^yb9wI%*ZUD*5WJlR=x82NCc~4ASpB527$0Fuq{lc8k&FIs9wT>~rYVVlXQm zSS??682CO!{&#`wOZ{R$VhQl@p9A?^l%F;;4moyT)baJ8EzlnZdIYX$4D| z);XSIui$91<@ODum1jajPhildU=qCCqed!m4fZ&%=yLvka^S#}4kg@W=Z#I}TIWeo zkHVaawdL0xQK|LY`&mrO4)69TG_Eq$CIfKon(iRBrivfhy_hx{r)phZ5;vpTU`s|{ zX|0CpkD{#cd?5}qw{cN0OqUmUst=F|Ld`qBLTf?4rgcqCO-1*`t>K%7OXH6SdCA!7 zU%6poCN)B z4rLqbIoU_*y_lVCn%*fINL=a;f1{~a{<#Jr7$WUk;0XXv3S#BNc3clj5je#gaTqeo zqz5O(-ONk~=b8?~;z+g$2El$b)S96$5e-+}?}T-bOI|;&43iqIs7N6Vo{c2lfAFR< zYHjFD6+8D&yinFZoX}=|X9say5DY-5w)Fu9erkYf zVQvMcI*d@rA{I4$Ds!biwMZ&DdP@q+`7QbLxlW_RqUlRb_p22@mo5oy3e@ZNg^LM4 zJsL;41c^^>|1MzNL?vO3lial$ELUguJkx)c$O%x^?S6Ep&Xm+++l>5Q9V4q$iuphG z2QVMo2!0bZXA4bL04K;fSmW`V>YHoS=EC!5k95f7#N@~1?&}`4BA!|>HE>HGDaIOJWkVjq*aa-} z&bK7TW*I{puH z_VsV}jP4DX6y%?mW5)89jlQ||)^E|l0AoO2VffrZYY4*t#{Ts~>@3@gx)783uN<#CN)_>Hmc8u?j~rB!l}hv-~E(g;1P|CnPm*2(j{+h%D+% z322RPq!Dl8cGiZ&5gWsgt;h;@%3Cq};Hzn@mDf|{nM{+vqoxoqIx{`xFt z*sf~*fN?*DWR;v+5>u3GBXLzZFx$DNqe!jsZzWe7BDJax1fn|Z4zLvKy8uXtZ2HBR zVTw-FeGo z-(+joQ%9j4M$W`JLo6s-N4C04dA_$zFHOEuo1MwqgUEbTr}}5IgZ!_6Js$lpZ_aUu z{$F^Cgg-VIzl$U$>j0JLjU7$}`j7x}j7KGDEIbLx3I$WAyBU0VB+ih5iq);%?rS3= z@`@`xOm4qI>r@_0znA|!D+yiv0F}`zchOXEYn^q;58vcUYa;+Q?E~CmK!u04^6D}V;q5PT@>zJdRi4PtlsV_OuLM3-)Bxkd3|K=-ibB7-9-=@ z?y1f3F4cLeAa!J)a@oY<-K#TPi5Y4KT@A3Ojd>61#JPIu^@#QCP>!|_82sh+%#wPq zB$O6sYF!cYI^%h6ysG=2lozjLsUyy`iA|j!jW=6v0pkD~SvS~&K&lKGXs-B9R48Ay zt8SOmIA4M7LpzLbEcdYJyr9$8=2=i$PSlF=x{%h=o)dle);Ge=!w+65>Mjs|6JaiW zt!msq;x|L$zplK4hes$_fG;28)j*yZ{>``*OgZcxcCiPwLjogb5BwN9;GFrS!rm{7 z;i+ zdWufp7X0R~J1p{G;XI`kz6`X@66%qguy961LIGAa50l(L3Qx^pKYAmfL^5n|F1ghj zB%AlpBWm!Rz<%))qHR4mA*lW|G#n2xY>3MNxar2&lfk*bUKn|IC!0Mx)YiCwlVq<< z>7%SY8#Uz?V|BSO<=m{*!COUlZ;71LbKA>1uvCl_mY)4&`9A{JZD4@TKO@(006#S# zFTie6N+Oz21F%!TCkKP24WW;@Dr`8K@P#O?^QtBiw|RnTPu59E>D+|9JDO>~-8fDq z^SmJ=Ik7WQ#s zr!LsFtv3F_ch+|}@spQ>v?o+KAmo z8}CrwnZR`}7zG-rF7RC^E}UGaHGyRGA^;q(T7o30dS>Fku0z zM?k}Aco8tkKRT^PZ%COjeJ{X|AZO40;5$u#Uxc44i>un*bkQKcFOV8+z^3 zf@R~;3x&P=Ppb}i4S6kYn?CxdP)yZ7eUTyjUsmy(BVQO`n5&d|54mm}w|d4`sD1;{ z3l<9r)ot`S67;aqYuLh}^%zqx^1&66C-3qfx3j9v-P()%MtT} zE%**k)nNV5|M&{9*Ew*EAghXZ1A*jI@C=)T2ucww*1(ktiXfN*WwsY%i1a2{6pr}6U8Sr~iA0=>g88#hE*0VDz~g?n2S5rsm{uA4yT z5=e8bGrYK(AS7MSV+6Tozz4Ti?EzMUNw_}NrK$6DYk5LPPv`V<^WDxuTM||+fA~V* zK4urHFYSL7#pI1H*_vGmTly}OJG&d8V)uv`&6;30kOK=VTwyH}oh}8HE=i5SrURST z%!x_|KiSY)uY`>mSBsI6ZUDtjCxA*&|$~uQXY6U_sMWde6TGyA5^+RZD|z=km2s0P43II`knXy~Sx^k7H=)87hP zrK_>Rs8eUsJ>^`nIl0G5G^0v~e+onK_uqF`YFfzRf9?{siJo@c(*Z!+y4j*5?MNyz z0d1g1?YKFl)-~TDWrs!d7U-m_wGH^nlB8?n2Og|y689&HT(7ucg1gS{;FxmP6tbUF zipE+{p+nkz(x(}0V)Q4ja<6W!$cebOiLZTFF+TQG?PpKnBEwUOSErjX&~K8GC7J2( zEV2THD;~@`+Cy|h59B(sz4@}qjcI!dnTMK&wt`7iO7~Fw4H@Dbs}vsvq_Dl4+UnP` zyWVd2eEDOuIqdP||EK71E(1<0pW-oK4otBqoi;I&Y196MDE@2SQ;0^qf!kSqukLM; zI>s+M3zl+_sC7~5K#N*0Rs)QE+{J{V)Ug_mxkxqv?e}Cbr$%A|zp}={-B(V3m8kmM zmoJh#ghoHPpO#M&)Wry&_Hw0L*;iVSq3BCVTp6Mm)z9u&X{&^y{hJ)G(%^wpdHZq# a>XK~d3|&AId?QJC$D?cifB8dxANW7)*Y|?} literal 0 HcmV?d00001 diff --git a/docs/table_transformer.md b/docs/table_transformer.md index ba5af47a..2b4a247f 100644 --- a/docs/table_transformer.md +++ b/docs/table_transformer.md @@ -1,10 +1,12 @@ # Table Transformer Table Transformer (TATR) applies the DETR detection recipe to tables. It is the same @@ -155,26 +157,27 @@ The module also exports the two label tuples for convenience: ```python from zeromodels.models.table_transformer.table_transformer_image_processor import ( - TABLE_DETECTION_LABELS, # ("table", "table rotated") - TABLE_STRUCTURE_LABELS, # ("table", "table column", "table row", ...) + TABLE_DETECTION_LABELS, # ("table", "table rotated") + TABLE_STRUCTURE_LABELS, # ("table", "table column", "table row", ...) ) ``` ## Model Variants All variants are ResNet-18 backboned. Load any of them with -`TableTransformerDetect.from_weights("hf:")`. +`TableTransformerDetect.from_weights("zeromodels/")`. -| Task | HF repo | Queries | Classes | +| Task | Repo | Queries | Classes | |------------------------|---------------------------------------------------------------|--------:|--------:| -| Table detection | `microsoft/table-transformer-detection` | 15 | 2 + 1 | -| Structure recognition | `microsoft/table-transformer-structure-recognition` | 125 | 6 + 1 | -| Structure v1.1 (all) | `microsoft/table-transformer-structure-recognition-v1.1-all` | 125 | 6 + 1 | -| Structure v1.1 (fin) | `microsoft/table-transformer-structure-recognition-v1.1-fin` | 125 | 6 + 1 | -| Structure v1.1 (pub) | `microsoft/table-transformer-structure-recognition-v1.1-pub` | 125 | 6 + 1 | +| Table detection | `zeromodels/table-transformer-detection` | 15 | 2 + 1 | +| Structure recognition | `zeromodels/table-transformer-structure-recognition` | 125 | 6 + 1 | +| Structure v1.1 (all) | `zeromodels/table-transformer-structure-recognition-v1.1-all` | 125 | 6 + 1 | +| Structure v1.1 (fin) | `zeromodels/table-transformer-structure-recognition-v1.1-fin` | 125 | 6 + 1 | +| Structure v1.1 (pub) | `zeromodels/table-transformer-structure-recognition-v1.1-pub` | 125 | 6 + 1 | -The v1.1 checkpoints store the backbone under the native Hugging Face ResNet naming rather -than the timm-style layout of the two originals; the loader handles both automatically. +Detection finds tables in a page image; the structure-recognition variants decompose a +cropped table into its rows, columns, and header / spanning cells (the three v1.1 checkpoints +differ only in their training corpus: all, financial, or publication tables). ## Basic Usage: Table Detection @@ -188,8 +191,10 @@ from zeromodels.models.table_transformer.table_transformer_image_processor impor TABLE_DETECTION_LABELS, ) -model = TableTransformerDetect.from_weights("hf:microsoft/table-transformer-detection") -processor = TableTransformerImageProcessor() +model = TableTransformerDetect.from_weights("zeromodels/table-transformer-detection") +processor = TableTransformerImageProcessor.from_weights( + "zeromodels/table-transformer-detection" +) image = Image.open("page.jpg").convert("RGB") inputs = processor(image) @@ -217,9 +222,16 @@ get the table images for the next stage. ## Table-Structure Recognition -Structure recognition takes a **cropped table** image and returns its rows, columns, and -header / spanning cells. Same call, a different checkpoint, and the default label set already -matches: +Structure recognition takes a **cropped table** and predicts its **structure** (six classes: +rows, columns, the column header, projected row headers, and spanning cells), not one box per +cell. That is the difference from cell-detection models such as TableFormer: to get discrete +cells you **intersect the predicted rows and columns** (and keep each spanning cell whole). +The tables below are the real Table 2 and Table 3 from *Attention Is All You Need* +(arXiv:1706.03762), cropped from the paper's PDF pages with the `table-transformer-detection` +checkpoint. Here the ablations table is decomposed into its cells (green), with the +A / B / C / D variation-group labels kept as single spanning cells (red): + +Table Transformer structure recognition on the ablations table from Attention Is All You Need, decomposed into per-cell boxes with the A/B/C/D group labels as spanning cells ```python from PIL import Image @@ -229,25 +241,91 @@ from zeromodels.models.table_transformer import ( ) model = TableTransformerDetect.from_weights( - "hf:microsoft/table-transformer-structure-recognition-v1.1-all" + "zeromodels/table-transformer-structure-recognition-v1.1-all" +) +processor = TableTransformerImageProcessor.from_weights( + "zeromodels/table-transformer-structure-recognition-v1.1-all" ) -processor = TableTransformerImageProcessor() -table = Image.open("cropped_table.jpg").convert("RGB") +table = Image.open("assets/data/attention_table3.png").convert("RGB") output = model(processor(table)["pixel_values"], training=False) -# output["logits"]: (1, 125, 7) +# output["logits"]: (1, 125, 7) six structure classes + no-object # output["pred_boxes"]: (1, 125, 4) -cells = processor.post_process_object_detection( +struct = processor.post_process_object_detection( output, threshold=0.6, target_sizes=[(table.height, table.width)] )[0] -# cells["label_names"] are drawn from the six structure classes: -# table, table column, table row, table column header, -# table projected row header, table spanning cell + + +def structure_to_cells(struct): + """One box per cell, from the predicted rows x columns (spanning cells kept whole).""" + + def kind(name): + return [ + [float(v) for v in box] + for box, n in zip(struct["boxes"], struct["label_names"]) + if n == name + ] + + rows = sorted(kind("table row"), key=lambda b: b[1]) + cols = sorted(kind("table column"), key=lambda b: b[0]) + spans = kind("table spanning cell") + + def spanned(box): + cx, cy = (box[0] + box[2]) / 2, (box[1] + box[3]) / 2 + return any(s[0] <= cx <= s[2] and s[1] <= cy <= s[3] for s in spans) + + grid = [[c[0], r[1], c[2], r[3]] for r in rows for c in cols] + return [b for b in grid if not spanned(b)] + spans + + +cells = structure_to_cells(struct) +print(f"{len(cells)} cells") +``` + +``` +260 cells +``` + +The raw prediction has **13** `table column`, **21** `table row`, **1** `table column header`, +and **4** `table spanning cell` boxes (read them off `struct["label_names"]`). Intersecting the +13 columns with the 21 rows gives a 273-cell grid; dropping the 17 grid cells covered by the +four A / B / C / D spanning cells and adding those 4 spans back yields the **260** cells drawn +above. The column-header and spanning-cell classes then tell you which cells are headers or +span multiple rows / columns. + +### Batch of Multiple Tables + +Pass a list of table crops and one `target_sizes` entry per image. Every image is resized to +the same square, so stacking is always safe and the batch result is identical to running the +images one at a time. Here the paper's results table (Table 2) and ablations table (Table 3) +are decomposed into cells together (reusing `structure_to_cells` from above): + +Table Transformer per-cell structure of the results table and the ablations table from Attention Is All You Need, run as one batch + +```python +from PIL import Image + +paths = ["assets/data/attention_table2.png", "assets/data/attention_table3.png"] +images = [Image.open(p).convert("RGB") for p in paths] + +inputs = processor(paths) # (2, 800, 800, 3) +outputs = model(inputs["pixel_values"], training=False) + +results = processor.post_process_object_detection( + outputs, threshold=0.6, target_sizes=[(im.height, im.width) for im in images] +) +for path, struct in zip(paths, results): + print(path, len(structure_to_cells(struct)), "cells") +``` + +``` +assets/data/attention_table2.png 59 cells +assets/data/attention_table3.png 260 cells ``` -Intersecting the predicted rows and columns reconstructs the cell grid; the header and -spanning-cell predictions then tag which cells are headers or span multiple rows/columns. +The results table (5 x 12) and the ablations table (13 x 21) are decomposed together, and each +image's cells match running it on its own. ## Data Format @@ -265,7 +343,7 @@ Set the global format before constructing the model, and both sides agree: import keras keras.config.set_image_data_format("channels_first") -model = TableTransformerDetect.from_weights("hf:microsoft/table-transformer-detection") +model = TableTransformerDetect.from_weights("zeromodels/table-transformer-detection") # now expects (B, 3, H, W) ``` @@ -275,9 +353,9 @@ takes no `data_format` kwarg. ## Loading Fine-tuned and Community Weights -Any Hugging Face repo whose `model_type` is `"table-transformer"` loads with the `hf:` -prefix, including the official `microsoft/table-transformer-*` checkpoints and arbitrary -fine-tunes: +The `zeromodels/table-transformer-*` repos above are pre-converted. Any **other** Hugging Face +repo whose `model_type` is `"table-transformer"` (the upstream `microsoft/table-transformer-*` +checkpoints, or a community fine-tune) loads with the `hf:` prefix, converting on the fly: ```python from zeromodels.models.table_transformer import TableTransformerDetect @@ -286,12 +364,11 @@ model = TableTransformerDetect.from_weights("hf:/my-table-transformer-fine # Architecture only, randomly initialized model = TableTransformerDetect.from_weights( - "hf:microsoft/table-transformer-detection", load_weights=False + "zeromodels/table-transformer-detection", load_weights=False ) ``` No shape arguments are needed. The architecture is read from the repo's `config.json` and mapped onto the constructor: `d_model`, `encoder_attention_heads`, `encoder_layers`, `decoder_layers`, `encoder_ffn_dim`, `num_queries`, and the label count. `TableTransformerModel` -accepts `hf:` the same way, warm-starting the backbone and transformer from the detector's -weights. +loads the same way, warm-starting the backbone and transformer from the detector's weights. diff --git a/zeromodels/models/regnet/convert_regnet_hf_to_keras.py b/zeromodels/models/regnet/convert_regnet_hf_to_keras.py index 7c98a097..53dd38fd 100644 --- a/zeromodels/models/regnet/convert_regnet_hf_to_keras.py +++ b/zeromodels/models/regnet/convert_regnet_hf_to_keras.py @@ -17,11 +17,6 @@ ) from zeromodels.models.regnet import RegNetImageClassify -# Hosted variant -> HF (transformers) repo id, for every standard RegNet X/Y FLOP -# variant (002=0.2 GF ... 320=32 GF). The arch is read from each repo's config.json -# via RegNetImageClassify.config_from_hf, so no per-variant arch table is needed -# here; ``hf:facebook/regnet-*`` also loads any of these on the fly. (The larger -# self-supervised "-seer" checkpoints are not listed but load the same way.) REGNET_FLOPS = ( "002", "004", @@ -42,9 +37,6 @@ for flops in REGNET_FLOPS } -# keras weight name ``{layer.name}_{weight.name}`` -> HF (torch) name. The keras -# layers are named as the HF module path with ``.`` replaced by ``_``, so ``_ -> -# .`` alone reconstructs the path; the rest renames Keras weight suffixes. WEIGHT_NAME_MAPPING = { "_": ".", "kernel": "weight", @@ -85,16 +77,9 @@ def transfer_regnet_weights(keras_model, state_dict): _meta.version = lambda name: ( "0.23.0" if name == "tokenizers" else _orig_version(name) ) - import torch import transformers from huggingface_hub import hf_hub_download - # Compare in true float32: cuDNN TF32 on a GPU inflates the conv/BN diff to - # ~1e-2 (HF runs on CPU), which can spuriously trip the 1e-2 parity gate on the - # SE ("y") variants. Disabling TF32 restores the real ~5e-6 conversion fidelity. - torch.backends.cudnn.allow_tf32 = False - torch.backends.cuda.matmul.allow_tf32 = False - for variant, hf_id in REGNET_VARIANTS.items(): print(f"\n{'=' * 60}") print(f"Converting: {variant} <- {hf_id}") diff --git a/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py b/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py index b393a369..ed8f58f7 100644 --- a/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py +++ b/zeromodels/models/table_transformer/convert_table_transformer_hf_to_keras.py @@ -229,6 +229,12 @@ def transfer_table_transformer_weights(keras_model, state_dict): "table-transformer-structure-recognition-v1.1-all": ( "microsoft/table-transformer-structure-recognition-v1.1-all" ), + "table-transformer-structure-recognition-v1.1-fin": ( + "microsoft/table-transformer-structure-recognition-v1.1-fin" + ), + "table-transformer-structure-recognition-v1.1-pub": ( + "microsoft/table-transformer-structure-recognition-v1.1-pub" + ), } @@ -254,9 +260,6 @@ def load_hf_model(hf_id, raw_config): from zeromodels.conversion.hf_download_utils import download_hf_state_dict - torch.backends.cudnn.allow_tf32 = False - torch.backends.cuda.matmul.allow_tf32 = False - for variant, hf_id in TABLE_TRANSFORMER_VARIANTS.items(): print(f"\n{'=' * 60}") print(f"Converting: {variant} <- {hf_id}")