From 1019e6610788a8683421b38292c85f9ee3b90cf2 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 10:15:22 -0500 Subject: [PATCH 01/18] condense paper announcement and update supported python versions --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 40888de..fee48b8 100644 --- a/README.md +++ b/README.md @@ -12,8 +12,8 @@

# Announcements -## alphaXiv -The `fastprop` paper is freely available online at [arxiv.org/abs/2404.02058](https://arxiv.org/abs/2404.02058) and we are conducting open source peer review on [alphaXiv](https://alphaxiv.org/abs/2404.02058) - comments are appreciated! +## alphaXiv Paper +The companion academic paper describing `fastprop` is freely available online at [alphaXiv](https://www.alphaxiv.org/abs/2404.02058). The source for the paper is stored in this repository under the `paper` directory. ## Initial Release :tada: @@ -22,7 +22,7 @@ Please try `fastprop` on your datasets and let us know what you think. Feature requests and bug reports are **very** appreciated! # Installing `fastprop` -`fastprop` supports Mac, Windows, and Linux on Python versions 3.8 to 3.12. +`fastprop` supports Mac, Windows, and Linux on Python versions 3.8 or newer. Installing from `pip` is the best way to get `fastprop`, but if you need to check out a specific GitHub branch or you want to contribute to `fastprop` a source installation is recommended. Pending interest from users, a `conda` package will be added. From 08b34ed51bcd48240852a5cb3af1c978e0925e41 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 10:15:52 -0500 Subject: [PATCH 02/18] increment minor version pending some changes --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 3b3f890..9aacafa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "fastprop" -version = "1.0.6" +version = "1.1.0" authors = [ { name = "Jackson Burns" }, ] From 5b0993360b2af5f74cd7adeee950cb842e2df83f Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 11:11:30 -0500 Subject: [PATCH 03/18] add support for molecular standardization --- README.md | 1 + examples/example_fastprop_train_config.yml | 2 ++ fastprop/cli/base.py | 4 +++- fastprop/cli/predict.py | 3 ++- fastprop/cli/train.py | 3 ++- fastprop/data.py | 6 +++++- fastprop/defaults.py | 1 + 7 files changed, 16 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index fee48b8..520df7e 100644 --- a/README.md +++ b/README.md @@ -69,6 +69,7 @@ There are four distinct steps in `fastprop` that define its framework: _or_ - Load precomputed descriptors: filepath to where descriptors are already cached either manually or by `fastprop` 2. Preprocessing + - standardize: call `rdkit`'s `rdMolStandardize.Cleanup` function on the input molecules before calculating descriptors (`False` by default) - _not configurable_: `fastprop` will always rescale input features, set invariant and missing features to zero, and impute missing values with the per-feature mean 3. Training - Number of Repeats: How many times to split/train/test on the dataset (increments random seed by 1 each time). diff --git a/examples/example_fastprop_train_config.yml b/examples/example_fastprop_train_config.yml index 081d56e..b461a83 100644 --- a/examples/example_fastprop_train_config.yml +++ b/examples/example_fastprop_train_config.yml @@ -26,6 +26,8 @@ optimize: False # True # # Which set of descriptors to calculate (either all or optimized) descriptor_set: all +# Call rdMolStandardize.Cleanup on molecules before calculating descriptors +standardize: False # Allow caching of descriptors enable_cache: True # diff --git a/fastprop/cli/base.py b/fastprop/cli/base.py index 7b3cdc1..e777836 100644 --- a/fastprop/cli/base.py +++ b/fastprop/cli/base.py @@ -32,6 +32,7 @@ def main(): train_subparser.add_argument("-tc", "--target-columns", nargs="+", help="column name(s) for target(s)") train_subparser.add_argument("-sc", "--smiles-column", help="column name for SMILES") train_subparser.add_argument("-ds", "--descriptor-set", help="descriptors to calculate (one of all, optimized, or debug)") + train_subparser.add_argument("-s", "--standardize", action="store_true", default=False, help="call rdMolStandardize.Cleanup function on molecules") train_subparser.add_argument("-ec", "--enable-cache", type=bool, help="allow saving and loading of cached descriptors") train_subparser.add_argument("-p", "--precomputed", help="precomputed descriptors from fastprop or mordred") @@ -60,6 +61,7 @@ def main(): input_group.add_argument("-sf", "--smiles-file", help="file containing SMILES strings only") input_group = predict_subparser.add_mutually_exclusive_group(required=True) input_group.add_argument("-ds", "--descriptor-set", help="descriptors to calculate (one of all, optimized, or debug)") + input_group.add_argument("-s", "--standardize", action="store_true", default=False, help="call rdMolStandardize.Cleanup function on molecules") input_group.add_argument("-pd", "--precomputed-descriptors", help="precomputed descriptors") predict_subparser.add_argument("-o", "--output", required=False, help="output file for predictions (defaults to stdout)") @@ -94,7 +96,7 @@ def main(): training_default = dict(DEFAULT_TRAINING_CONFIG) optim_requested = args.pop("optimize") if args["config_file"] is not None: - if any(value is not None and arg_name not in {"clamp_input", "config_file"} for arg_name, value in args.items()): + if any(value is not None and arg_name not in {"clamp_input", "config_file", "standardize"} for arg_name, value in args.items()): raise parser.error("Cannot specify config_file with other command line arguments (except --optimize).") with open(args["config_file"], "r") as f: cfg = yaml.safe_load(f) diff --git a/fastprop/cli/predict.py b/fastprop/cli/predict.py index 1848a81..e883ef9 100644 --- a/fastprop/cli/predict.py +++ b/fastprop/cli/predict.py @@ -20,6 +20,7 @@ def predict_fastprop( checkpoints_dir: str, smiles_strings: List[str], descriptor_set: str, + standardize: bool = False, smiles_file: Optional[str] = None, precomputed_descriptors: Optional[np.ndarray] = None, output: Optional[str] = None, @@ -31,7 +32,7 @@ def predict_fastprop( # load the models if precomputed_descriptors is None: - _, rdkit_mols, _ = clean_dataset(np.zeros((1, len(smiles_strings))), np.array(smiles_strings)) + _, rdkit_mols, _ = clean_dataset(np.zeros((1, len(smiles_strings))), np.array(smiles_strings), standardize=standardize) descs = get_descriptors(cache_filepath=False, descriptors=DESCRIPTOR_SET_LOOKUP[descriptor_set], rdkit_mols=rdkit_mols) descs = descs.to_numpy(dtype=float) else: diff --git a/fastprop/cli/train.py b/fastprop/cli/train.py index 94ef26f..ba75de6 100644 --- a/fastprop/cli/train.py +++ b/fastprop/cli/train.py @@ -66,6 +66,7 @@ def train_fastprop( sampler: str, random_seed: int, patience: int, + standardize: bool, hopt: bool = False, ): if hopt and (tune is None or OptunaSearch is None): @@ -93,7 +94,7 @@ def train_fastprop( logger.info(f"Found cached descriptor data at {cache_file}, loading instead of recalculating.") descriptors = load_saved_descriptors(cache_file) else: - targets, rdkit_mols, smiles = clean_dataset(targets, smiles) + targets, rdkit_mols, smiles = clean_dataset(targets, smiles, standardize=standardize) descriptors = get_descriptors(enable_cache and cache_file, DESCRIPTOR_SET_LOOKUP[descriptor_set], rdkit_mols) descriptors = descriptors.to_numpy(dtype=float) diff --git a/fastprop/data.py b/fastprop/data.py index e229181..16299d0 100644 --- a/fastprop/data.py +++ b/fastprop/data.py @@ -114,17 +114,21 @@ def inverse_standard_scale(data: torch.Tensor, means: torch.Tensor, variances: t return data * variances.sqrt() + means -def clean_dataset(targets: np.ndarray, smiles: np.ndarray): +def clean_dataset(targets: np.ndarray, smiles: np.ndarray, standardize: bool = False): """Removes targets with missing values and SMILES which cannot be converted to molecules. Args: targets (np.ndarray): Targets corresponding to mols. smiles (np.ndarray): SMILES corresponding to the targets. + standardize (bool, optional): Call rdMolStandardize.Cleanup on molecules. Default False. Returns: tuple[np.ndarray, np.ndarray]: Valid targets and RDKit Molecules. """ rdkit_mols = np.array(list(Chem.MolFromSmiles(i) for i in smiles)) + if standardize: + for mol in rdkit_mols: + Chem.Cleanup(mol) starting_length = len(rdkit_mols) # remove dataset entries where the molecule could not be built diff --git a/fastprop/defaults.py b/fastprop/defaults.py index e348852..b9682df 100644 --- a/fastprop/defaults.py +++ b/fastprop/defaults.py @@ -59,6 +59,7 @@ def init_logger(module_name: str) -> logging.Logger: hidden_size=1800, hopt=False, patience=5, + standardize=False, ) ) From 2e6a2400dec4658632d6047715e210af51c5cb6f Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 11:20:40 -0500 Subject: [PATCH 04/18] clarify the choice of mordred as the featurizer --- paper/paper.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 5b1a0b7..407f472 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -144,7 +144,9 @@ At its core the `fastprop` 'architecture' is simply the `mordred` molecular desc In the latter mode the user simply specifies a set of SMILES [@smiles], a linear textual encoding of molecules, and their corresponding properties. `fastprop` automatically calculates and caches the corresponding molecular descriptors with `mordred`, re-scales both the descriptors and the targets appropriately, and then trains an FNN to predict the indicated target properties. By default this FNN is two hidden layers with 1800 neurons each connected by ReLU activation functions, though the configuration can be readily changed via the command line interface or configuration file. -`fastprop` owes its success to the cogent set of descriptors assembled by the developers of `mordred`, the ease of training FNNs with modern software like PyTorch Lightning, and the careful application of Research Software Engineering best practices that make it as user friendly as the best-maintained alternatives. +`fastprop` principally owes its success to the cogent set of descriptors assembled by the developers of `mordred`. +Multiple descriptor calculators from the very thorough review by McGibbon et al. [@representation_review] could be used instead, though none are as readily interoperable as `mordred`. +Additionally, the ease of training FNNs with modern software like PyTorch Lightning and the careful application of Research Software Engineering best practices make `fastprop` as user friendly as the best-maintained alternatives. ![`fastprop` logo.\label{logo}](../fastprop_logo.png){ width=2in } @@ -165,7 +167,6 @@ Most importantly this approach is successful on the _smallest_ of real-world dat By starting from such an informed initialization the FNN can be readily trained on datasets with as few as _forty_ training examples (see [PAHs](#pahs)). [^2]: The original `mordred` package is no longer maintained. `fastprop` uses a fork of `mordred` called `mordredcommunity` that is maintained by community-contributed patches (see github.com/JacksonBurns/mordred-community). -Multiple descriptor calculators from the very thorough review by McGibbon et al. [@representation_review] could be used instead, though none are as readily interoperable as `mordred`. ## Example Usage `fastprop` is built with ease of use at the forefront of design. From 8516c46a7c6ed8c8f3876b8d4a06f991cd14f4c1 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 11:24:26 -0500 Subject: [PATCH 05/18] clarify explicit support for multitask problems --- paper/paper.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 407f472..76cc5d1 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -140,10 +140,11 @@ For the purposes of this study, it will be used to refer to datasets with ~1000 # Implementation At its core the `fastprop` 'architecture' is simply the `mordred` molecular descriptor calculator [^2] [@mordred] connected to a Feedforward Neural Network (FNN) implemented in PyTorch Lightning [@lightning] (Figure \ref{logo}) - an existing approach formalized into an easy-to-use, reliable, and correct implementation. -`fastprop` is highly modular for seamless integration into existing workflows and includes end-to-end interfaces for general use. -In the latter mode the user simply specifies a set of SMILES [@smiles], a linear textual encoding of molecules, and their corresponding properties. -`fastprop` automatically calculates and caches the corresponding molecular descriptors with `mordred`, re-scales both the descriptors and the targets appropriately, and then trains an FNN to predict the indicated target properties. -By default this FNN is two hidden layers with 1800 neurons each connected by ReLU activation functions, though the configuration can be readily changed via the command line interface or configuration file. +`fastprop` is highly modular for seamless integration into existing workflows and includes and end-to-end Command Line Interface (CLI) for general use. +In the latter mode the user simply specifies a set of SMILES [@smiles], a linear textual encoding of molecules, and their corresponding target values. +`fastprop` automatically calculates and caches the corresponding molecular descriptors with `mordred`, re-scales both the descriptors and the targets appropriately, and then trains an FNN to predict the indicated targets. +By default this FNN is two hidden layers with 1800 neurons each connected by ReLU activation functions, though the configuration can be readily changed via the CLI or configuration file. +Multitask regression and multi-label classification are also supported and configurable in the same manner. `fastprop` principally owes its success to the cogent set of descriptors assembled by the developers of `mordred`. Multiple descriptor calculators from the very thorough review by McGibbon et al. [@representation_review] could be used instead, though none are as readily interoperable as `mordred`. Additionally, the ease of training FNNs with modern software like PyTorch Lightning and the careful application of Research Software Engineering best practices make `fastprop` as user friendly as the best-maintained alternatives. From 24bc50a1018808a04f1ddbf1255f51422c758dab Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 11:34:38 -0500 Subject: [PATCH 06/18] clarify existing support for SHAP anlysis of trained fastprop models --- paper/paper.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 76cc5d1..ebd7295 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -162,7 +162,7 @@ Yalamanchi and coauthors used DL on `mordred` descriptors as part of a two-heade The reason `fastprop` stands out from these studies and contradicts previous reports is for the simple reason that it works. As discussed at length in the [Results & Discussion](#results--discussion) section, this approach matches the performance of leading LR approaches on common benchmark datasets and bespoke QSPR models on small real-world datasets. `fastprop` also overcomes the limitations of LRs discussed above. -Because all inputs to the FNN are physically meaningful molecular descriptors, intermediate representations in the FNN are also physically meaningful and can be directly interpreted. +The FNN architecture and use of physically meaningful molecular descriptors enables the application of SHAP [@shap], a common tool for feature importance analysis (see [Interpretability](#interpretability)). The simplicity of the framework enables domain experts to apply it easily and makes model training dramatically faster than LRs. Most importantly this approach is successful on the _smallest_ of real-world datasets. By starting from such an informed initialization the FNN can be readily trained on datasets with as few as _forty_ training examples (see [PAHs](#pahs)). @@ -812,9 +812,11 @@ For example, in its current state `mordred` does not include any connectivity ba While some of the 3D descriptors it implements could implicitly reflect sterochemistry, more explicit descriptors like the Stereo Signature Molecular Descriptor [@stereo_signature] may prove helpful in the future if re-implemented in `mordred`. ## Interpretability -Though not discussed here for the sake of length, `fastprop` already contains the functionality to perform feature importance studies on trained models. -By using SHAP values [@shap] to assign a scalar 'importance' to each of the input features, users can determine which of the `mordred` descriptors has the largest impact on model predictions. -The utility of these values can be explored in greater detail on a case-by-case basis. +Though not discussed here for the sake of length, `fastprop` contains the functionality to perform feature importance studies on trained models. +By using SHAP values [@shap] once can assign a scalar 'importance' to each of the input features with respect to the target value, such as molecular weight having a significant positive impact on boiling point in alkanes. +Experts users can leverage this information to guide molecular design and optimization or inform future lines of inquiry. +Via the `fastprop` CLI users can train a model and then use `fastprop shap` to analyze the resulting trained network. +`fastprop shap` will then generate diagrams to visualize the SHAP values. # Availability - Project name: fastprop From d09a4b63dc455878cb44865bd014c55983c3a462 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 12:06:18 -0500 Subject: [PATCH 07/18] stop using QOI; restructure abstract to focus more on fastprop --- paper/paper.md | 24 ++++++++++-------------- 1 file changed, 10 insertions(+), 14 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index ebd7295..34d2f10 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -41,19 +41,15 @@ note: | # Abstract -Quantitative Structure-Property Relationship studies (QSPR), often referred to interchangeably as QSAR, seek to establish a mapping between molecular structure and an arbitrary Quantity of Interest (QOI). -Historically this was done on a QOI-by-QOI basis with new descriptors being devised by researchers to _specifically_ map to their QOI. -A large number of descriptors have been invented, and can be computed using packages like DRAGON (later E-dragon), PaDEL-descriptor (and padelpy), Mordred, CODESSA, and many others. -The sheer number of different descriptor packages resulted in the creation of 'meta-packages' which served only to aggregate these other calculators, including tools like molfeat, ChemDes, Parameter Client, and AIMSim. - -Generalizable descriptor-based modeling was a natural evolution of these meta-packages' development. -Historically QSPR researchers focused almost exclusively on linear methods. -Another community of researchers focused on finding nonlinear correlations between molecular structures and a QOI, often using Deep learning (DL). -The DL community typically used molecular fingerprints instead of the complex descriptors popular in QSPR community. -Recently the DL community has turned to learned representations primarily via message passing graph neural networks. -This approach has proved remarkably effective but is not without drawbacks. -Learning a representation requires large datasets to avoid over-fitting or even learn at all, loses interpretability since an embedding's meaning can only be induced retroactively, and needs significant execution time given the complexity of the underlying message passing algorithm. -This paper introduces `fastprop`, a software package and general Deep-QSPR framework that combines a cogent set of molecular descriptors with DL to achieve state-of-the-art performance on datasets ranging from tens to tens of thousands of molecules. +Quantitative Structure-Property Relationship studies (QSPR), often referred to interchangeably as QSAR, seek to establish a mapping between molecular structure and an arbitrary target property. +Historically this was done on a target-by-target basis with new descriptors being devised to _specifically_ map to a given target. +Today software packages exist that calculate thousands of these descriptors, enabling general modeling typically with classical and machine learning methods. +Also present today are learned representation methods in which deep learning models generate a target-specific representation during training. +The former requires less training data and offers improved speed and interpretability while the latter offers excellent generality, while the intersection of the two remains under-explored. + +This paper introduces `fastprop`, a software package and general Deep-QSPR framework that combines a cogent set of molecular descriptors with deep learning to achieve state-of-the-art performance on datasets ranging from tens to tens of thousands of molecules. +`fastprop` provides both a user-friendly Command Line Interface and highly interoperable set of Python modules for the training and deployment of feedforward neural networks for property prediction. +This approach yields improvements in speed and interpretability over existing methods without sacrificing performance. `fastprop` is designed with Research Software Engineering best practices and is free and open source, hosted at github.com/jacksonburns/fastprop. ## Scientific Contribution @@ -295,7 +291,7 @@ Only the results for Flash and PAH are statistically significant at 95% confiden Originally described in Scientific Data [@qm9] and perhaps the most established property prediction benchmark, Quantum Machine 9 (QM9) provides quantum mechanics derived descriptors for many small molecules containing one to nine heavy atoms, totaling ~134k. The data was retrieved from MoleculeNet [@moleculenet] in a readily usable format. As a point of comparison, performance metrics are retrieved from the paper presenting the UniMol architecture [@unimol] previously mentioned. -In that study they trained on only three especially difficult QOIs (homo, lumo, and gap) using scaffold-based splitting (a more challenging alternative to random splitting), reporting mean and standard deviation across 3 repetitions. +In that study they trained on only three especially difficult targets (homo, lumo, and gap) using scaffold-based splitting (a more challenging alternative to random splitting), reporting mean and standard deviation across 3 repetitions. `fastprop` achieves 0.0060 $\pm$ 0.0002 mean absolute error, whereas Chemprop achieves 0.00814 $\pm$ 0.00001 and the UniMol framework manages 0.00467 $\pm$ 0.00004. This places the `fastprop` framework ahead of previous learned representation approaches but still trailing UniMol. From 286d57202612ec6976ef5c68b560bc79e30ada30 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 14:02:54 -0500 Subject: [PATCH 08/18] small comments as suggested by reviewer 3 --- paper/paper.bib | 12 ++++++++++++ paper/paper.md | 41 ++++++++++++++++++++--------------------- 2 files changed, 32 insertions(+), 21 deletions(-) diff --git a/paper/paper.bib b/paper/paper.bib index 5f64af1..614b196 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -1,3 +1,15 @@ +@inbook{descriptors_book, + author = {Todeschini, Roberto and Consonni, Viviana}, + year = {2009}, + month = {07}, + pages = {1252}, + title = {Molecular Descriptors for Chemoinformatics}, + volume = {1}, + isbn = {978-3-527-31852-0}, + journal = {Methods and principles in medicinal chemistry}, + doi = {10.1002/9783527628766} +} + @Article{muratov_qsar, author ="Muratov, Eugene N. and Bajorath, Jürgen and Sheridan, Robert P. and Tetko, Igor V. and Filimonov, Dmitry and Poroikov, Vladimir and Oprea, Tudor I. and Baskin, Igor I. and Varnek, Alexandre and Roitberg, Adrian and Isayev, Olexandr and Curtalolo, Stefano and Fourches, Denis and Cohen, Yoram and Aspuru-Guzik, Alan and Winkler, David A. and Agrafiotis, Dimitris and Cherkasov, Artem and Tropsha, Alexander", title ="QSAR without borders", diff --git a/paper/paper.md b/paper/paper.md index 34d2f10..4cbcc79 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -71,10 +71,9 @@ An abridged version of the history behind QSPR is presented here to contextualiz ## Historical Approaches Early in the history of computing, limited computational power meant that significant human expertise was required to guide QSPR models toward effectiveness. -This materialized in the form of bespoke molecular descriptors: the Wiener Index in 1947 [@wiener_index], Atom-Bond Connectivity indices in 1998 [@estrada_abc], and _thousands_ of others. +This materialized in the form of bespoke molecular descriptors - scalar-valued functions which operate on the molecular graph in such a way to reflect relevant structural and electronic information. +Examples include rudimentary counting descriptors, the Wiener Index in 1947 [@wiener_index], Atom-Bond Connectivity indices in 1998 [@estrada_abc], and many others [@descriptors_book]. To this day descriptors are still being developed - the geometric-harmonic-Zagreb degree based descriptors were proposed by Arockiaraj et al. in 2023 [@pah]. -In each case, domain experts devised an algorithm which mapped a molecular structure to some scalar value. -This algorithm would take into account features of the molecule which that expert deduced were relevant to the property at hand. This time consuming technique is of course highly effective but the dispersed nature of this chemical knowledge means that these descriptors are spread out throughout many journals and domains with no single source to compute them all. The range of regression techniques applied to these descriptors has also been limited. @@ -224,7 +223,7 @@ All of these `fastprop` benchmarks are reproducible, and complete instructions f ## Benchmark Methods The method for splitting data into training, validation, and testing sets varies on a per-study basis and is described in each sub-section. Sampling is performed using the `astartes` package [@astartes] which implements a variety of sampling algorithms and is highly reproducible. -For datasets containing missing target values or invalid SMILES strings, those entries were dropped. +For datasets containing missing target values or invalid SMILES strings, those entries were dropped, as is the default behavior of `fastprop`. Results for `fastprop` are reported as the average value of a metric and its standard deviation across a number of repetitions (repeated re-sampling of the dataset). The number of repetitions is chosen to either match referenced literature studies or else increased from two until the performance no longer meaningfully changes. @@ -257,7 +256,7 @@ Those presented here are summarized below, first for regression: and classification: - Area Under the Receiver Operating Curve (AUROC, AUC, or ROC-AUC): Summary statistic combining all possible classification errors; scale-independent, range 0.5 (worst, random guessing) to 1.0 (perfect classifier). - - Accuracy: Fraction of correct classifications, expressed as either a percentage or a number; scale-independent, range 0 (worst) to 1 (perfect classifier). + - Accuracy: Fraction of correct classifications, expressed as a percentage; scale-independent, range 0 (worst) to 100 (perfect classifier). ## Benchmark Results See Table \ref{results_table} for a summary of all the results. @@ -266,29 +265,29 @@ Subsequent sections explore each in greater detail. Table: Summary of benchmark results, best state-of-the-art method vs. `fastprop` and Chemprop. \label{results_table} +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -| Benchmark | Samples (k) | Metric | SOTA | `fastprop` | Chemprop | p | +| Benchmark | Samples | Metric | SOTA | `fastprop` | Chemprop | p | +===============+====================+=============+==============+============+=========================+======+ -|QM9 |~134 |MAE |0.0047$^a$ |0.0060 |0.0081$^a$ | ~ | +|QM9 |133,885 |MAE |0.0047$^a$ |0.0060 |0.0081$^a$ | ~ | +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -|Pgp |~1.3 |AUROC |0.94$^b$ |0.90 |0.89$^b$ | ~ | +|Pgp |1,275 |AUROC |0.94$^b$ |0.90 |0.89$^b$ | ~ | +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -|ARA |~0.8 |Accuracy |91$^c$ |88 |82* |0.083 | +|ARA |842 |Accuracy |91$^c$ |88 |82* |0.083 | +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -|Flash |~0.6 |RMSE |13.2$^d$ |13.0 |21.2* |0.021 | +|Flash |632 |RMSE |13.2$^d$ |__13.0__ |21.2* |0.021 | +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -|YSI |~0.4 |MAE |22.3$^e$ |25.0 |28.9* |0.29 | +|YSI |442 |MAE |22.3$^e$ |25.0 |28.9* |0.29 | +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ -|PAH |~0.06 |R2 |0.96$^f$ |0.97 |0.59* |0.0012| +|PAH |55 |R2 |0.96$^f$ |__0.97__ |0.59* |0.0012| +---------------+--------------------+-------------+--------------+------------+-------------------------+------+ a [@unimol] b [@pgp_best] c [@ara] d [@flash] e [@ysi] f [@pah] * These reference results were generated for this study. Statistical comparisons of `fastprop` to Chemprop (shown in the `p` column) are performed using the non-parametric Wilcoxon-Mann-Whitney Test as implemented in GNumeric. Values are only shown for results generated in this study which are known to be performed using the same methods. -Only the results for Flash and PAH are statistically significant at 95% confidence (p<0.05). +Only the results for Flash and PAH are statistically significant at 95% confidence (p<0.05), see benchmark-specific subsections for confidence intervals. ### QM9 -Originally described in Scientific Data [@qm9] and perhaps the most established property prediction benchmark, Quantum Machine 9 (QM9) provides quantum mechanics derived descriptors for many small molecules containing one to nine heavy atoms, totaling ~134k. +Originally described in Scientific Data [@qm9] and perhaps the most established property prediction benchmark, Quantum Machine 9 (QM9) provides quantum mechanics derived descriptors for many small molecules containing one to nine heavy atoms, totaling 133,885. The data was retrieved from MoleculeNet [@moleculenet] in a readily usable format. As a point of comparison, performance metrics are retrieved from the paper presenting the UniMol architecture [@unimol] previously mentioned. In that study they trained on only three especially difficult targets (homo, lumo, and gap) using scaffold-based splitting (a more challenging alternative to random splitting), reporting mean and standard deviation across 3 repetitions. @@ -380,7 +379,7 @@ test_gap_root_mean_squared_error_loss 3.0 1.556471e-02 8. ### Pgp First reported in 2011 by Broccatelli and coworkers [@pgp], this dataset has since become a standard benchmark and is included in the Therapeutic Data Commons (TDC) [@tdc] model benchmarking suite. -The dataset maps approximately 1.2k small molecule drugs to a binary label indicating if they inhibit P-glycoprotein (Pgp). +The dataset maps 1,275 small molecule drugs to a binary label indicating if they inhibit P-glycoprotein (Pgp). TDC serves this data through a Python package, but due to installation issues the data was retrieved from the original study instead. The recommended splitting approach is a 70/10/20 scaffold-based split which is done here with 4 replicates. @@ -424,11 +423,11 @@ test_binary_average_precision 4.0 0.925318 0.015881 0.911060 0.913512 0. [^3]: See [the TDC Pgp leaderboard](https://tdcommons.ai/benchmark/admet_group/03pgp/). ### ARA -Compiled by Schaduangrat et al. in 2023 [@ara], this dataset maps ~0.8k small molecules to a binary label indicating if the molecule is an Androgen Receptor Antagonist (ARA). -The reference study introduced DeepAR, a highly complex modeling approach, which achieved an accuracy of 0.911 and an AUROC of 0.945. +Compiled by Schaduangrat et al. in 2023 [@ara], this dataset maps 842 small molecules to a binary label indicating if the molecule is an Androgen Receptor Antagonist (ARA). +The reference study introduced DeepAR, a highly complex modeling approach, which achieved an accuracy of 91.1% and an AUROC of 0.945. For this study an 80/10/10 random splitting is repeated four times on the dataset since no analogous split to the reference study can be determined. -Chemprop takes 16 minutes and 55 seconds to run on this dataset and achieves only 0.824 $\pm$ 0.020 accuracy and 0.898 $\pm$ 0.022 AUROC. +Chemprop takes 16 minutes and 55 seconds to run on this dataset and achieves only 82.4 $\pm$ 2.0% accuracy and 0.898 $\pm$ 0.022 AUROC. `fastprop` takes only 1 minute and 54 seconds (1 minute and 39 seconds for descriptor calculation) and is competitive with the reference study in performance, achieving a 88.2 $\pm$ 3.7% accuracy and 0.935 $\pm$ 0.034 AUROC. The purely linear QSPR model falls far behind these methods with a 71.8 $\pm$ 6.6% accuracy and 0.824 $\pm$ 0.052 AUROC. ### Flash -First assembled and fitted to by Saldana and coauthors [@flash] the dataset (Flash) includes around 0.6k entries, primarily alkanes and some oxygen-containing compounds, and their literature-reported flash point. +First assembled and fitted to by Saldana and coauthors [@flash] the dataset (Flash) includes around 632 entries, primarily alkanes and some oxygen-containing compounds, and their literature-reported flash point. The reference study reports the performance on only one repetition, but manually confirms that the distribution of points in the three splits follows the parent dataset. The split itself was a 70/20/10 random split, which is repeated four times for this study. @@ -561,7 +560,7 @@ Mean 21.17199532359917 Standard Error 1.1064790292313673 --> ### YSI -Assembled by Das and coauthors [@ysi] from a collection of other smaller datasets, this dataset maps ~0.4k molecular structures to a unified-scale Yield Sooting Index (YSI), a molecular property of interest to the combustion community. +Assembled by Das and coauthors [@ysi] from a collection of other smaller datasets, this dataset maps 442 molecular structures to a unified-scale Yield Sooting Index (YSI), a molecular property of interest to the combustion community. The reference study performs leave-one-out cross validation to fit a per-fragment contribution model, effectively a training size of >99%, without a holdout set. Though this is not standard practice and can lead to overly optimistic reported performance, the results will be carried forward regardless. The original study did not report overall performance metrics, so they have been re-calculated for this study using the predictions made by the reference model as provided on GitHub [^4]. @@ -692,7 +691,7 @@ First described by Esaki and coauthors, the Fraction of Unbound Drug in the Brai This specific target in combination with the small dataset size makes this benchmark highly relevant for typical QSPR studies, particular via delta learning. DeepDelta [@deepdelta] performed a 90/0/10 cross-validation study of the Fubrain dataset in which the training and testing molecules were intra-combined to generate all possible pairs and then the differences in the property [^5] were predicted, rather than the absolute values, increasing the amount of training data by a factor of 300. -DeepDelta reported an RMSE of 0.830 $\pm$ 0.023 at predicting differences, whereas a typical Chemprop model trained to directly predict property values was only able to reach an accuracy of 0.965 $\pm$ 0.019 when evaluated on its capacity to predict property differences. +DeepDelta reported an RMSE of 0.830 $\pm$ 0.023 at predicting differences, whereas a typical Chemprop model trained to directly predict property values was only able to reach an accuracy of 96.5 $\pm$ 1.9% when evaluated on its capacity to predict property differences. `fastprop` is able to outperform Chemprop, though not DeepDelta, achieving an RMSE of 0.930 $\pm$ 0.029 when using the same splitting procedure above. It is evident that delta learning is still a powerful technique for regressing small datasets. From 19d1db642132666727e96d32dbc26e5603a169b1 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 14:31:57 -0500 Subject: [PATCH 09/18] editor note on additional benchmarks; shore up performance claims --- paper/additional_file_1.md | 45 ++++++++++++++++++++++++++++++++++++++ paper/paper.bib | 11 ++++++++++ paper/paper.md | 18 ++++++++++++--- 3 files changed, 71 insertions(+), 3 deletions(-) create mode 100644 paper/additional_file_1.md diff --git a/paper/additional_file_1.md b/paper/additional_file_1.md new file mode 100644 index 0000000..9e3cab0 --- /dev/null +++ b/paper/additional_file_1.md @@ -0,0 +1,45 @@ +--- +header-includes: +- | + ```{=latex} + \usepackage{pdflscape} + \newcommand{\blandscape}{\begin{landscape}} + \newcommand{\elandscape}{\end{landscape}} + ``` +... + + +# Additional File 1 +## Table S1 + +The following table shows the performance (see Metric column) for Chemprop, Transformer-CNN, and `fastprop` across various open datasets. +All datasets are retrieved from MoleculeNet, except Tox24 which was retrieved from [OChem.eu](https://ochem.eu/static/challenge.do). +Benchmarks are sorted by size, descending. + +Each result is the average and standard deviation across five randomly selected train/val/test splits of 0.70/0.10/0.20. +All models were trained with their default settings. +Augmentation at training or inference time was not performed, although suggested for Transformer-CNN by its authors, to ensure a fair comparison is made. +For Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) lower is better and for Receiver Operating Characteristic Area Under the Curve (ROC-AUC) higher is better. +The Tukey test is used to check for pairwise statistical differences between the three models. +The best performing model(s) which are statistically significantly different from the others are shown in bold. + +For further information about exact software versions for reproducing these results, see this GitHub repository which hosts both the training code and the results: [github.com/JacksonBurns/fastprop-benchmark](https://github.com/JacksonBurns/fastprop-benchmark). +\newpage + +\blandscape + +| Dataset | Entries | Metric | Chemprop | Transformer-CNN | fastprop | +|:-------------:|:-------:|:-------:|:--------:|:---------------:|:--------:| +| HIV |41,127| ROC-AUC |\textbf{0.828(0.015)}|0.56(0.13)|\textbf{0.784(0.020)}| +| QM8 |21,786| MAE |\textbf{0.0056(0.0001)}|0.0136(0.0004)|0.0164(0.0002)| +| QM7 |6,834| MAE |68.1(2.7)|62.4(2.2)|\textbf{57.1(2.8)}| +| Lipophilicity |4,200| RMSE |0.597(0.033)|\textbf{0.702(0.030)}|\textbf{0.736(0.020)}| +| BBBP |2,050| ROC-AUC |0.918(0.016)|\textbf{0.9650(0.0032)}|0.903(0.013)| +| BACE |1,513| ROC-AUC |0.856(0.010)|\textbf{0.899(0.016)}|\textbf{0.878(0.015)}| +| ClinTox |1,484| ROC-AUC |\textbf{0.877(0.035)}|\textbf{0.9814(0.0083)}|0.64(0.13)| +| SIDER |1,427| ROC-AUC |\textbf{0.662(0.039)}|\textbf{0.612(0.031)}|\textbf{0.629(0.016)}| +| Tox24 |1,212| RMSE |\textbf{26.3(1.9)}|\textbf{25.0(1.1)}|\textbf{27.4(1.7)}| +| ESOL |1,128| RMSE |\textbf{0.683(0.044)}|\textbf{0.701(0.057)}|\textbf{0.81(0.15)}| +| FreeSolv |642| RMSE |\textbf{1.32(0.23)}|\textbf{1.50(0.23)}|\textbf{1.29(0.15)}| + +\elandscape diff --git a/paper/paper.bib b/paper/paper.bib index 614b196..3b7f97f 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -485,6 +485,17 @@ @article{hopv15_subset pages = {23764-23775} } +@article{tcnn, + doi = {10.48550/ARXIV.1911.06603}, + url = {https://arxiv.org/abs/1911.06603}, + author = {Karpov, Pavel and Godin, Guillaume and Tetko, Igor V.}, + keywords = {Quantitative Methods (q-bio.QM), Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Biological sciences, FOS: Biological sciences, FOS: Computer and information sciences, FOS: Computer and information sciences}, + title = {Transformer-CNN: Fast and Reliable tool for QSAR}, + publisher = {arXiv}, + year = {2019}, + copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International} +} + @article{hopv15_original, title = {The Harvard organic photovoltaic dataset}, volume = {3}, diff --git a/paper/paper.md b/paper/paper.md index 4cbcc79..446a7a0 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -36,6 +36,13 @@ note: | --pdf-engine=pdflatex --pdf-engine-opt=-output-directory=foo Which leaves the intermediate TeX file in the `foo` directory. I then manually fix an image filepath which pandoc incorrectly leaves. +note: | + Compile the additional file with: + pandoc --citeproc -s additional_file_1.md -o additional_file_1.pdf --template default.latex \ + --pdf-engine=pdflatex --pdf-engine-opt=-output-directory=foo + or with the following, for arxiv: + pandoc --citeproc -s additional_file_1.md -o additional_file_1.pdf --template default.latex \ + --pdf-engine=pdflatex --pdf-engine-opt=-output-directory=foo --- @@ -49,7 +56,7 @@ The former requires less training data and offers improved speed and interpretab This paper introduces `fastprop`, a software package and general Deep-QSPR framework that combines a cogent set of molecular descriptors with deep learning to achieve state-of-the-art performance on datasets ranging from tens to tens of thousands of molecules. `fastprop` provides both a user-friendly Command Line Interface and highly interoperable set of Python modules for the training and deployment of feedforward neural networks for property prediction. -This approach yields improvements in speed and interpretability over existing methods without sacrificing performance. +This approach yields improvements in speed and interpretability over existing methods while statistically equaling or exceeding their performance across most of the tested benchmarks. `fastprop` is designed with Research Software Engineering best practices and is free and open source, hosted at github.com/jacksonburns/fastprop. ## Scientific Contribution @@ -123,6 +130,7 @@ Efforts are of course underway to address this limitation, though none are broad One simple but incredibly computationally expensive approach is to use delta learning, which artificially increases dataset size by generating all possible _pairs_ of molecules from the available data (thus squaring the size of the dataset). This was attempted by Nalini et al. [@deepdelta], who used an unmodified version of Chemprop referred to as 'DeepDelta' to predict _differences_ in molecular properties for _pairs_ of molecules. They achieve increased performance over standard LR approaches but _lost_ the ability to train on large datasets due to simple runtime limitations. +Another promising line of inquiry is the Transformer-CNN model of Karpov et al. [@tcnn], which leverages a pre-trained transformer model for prediction, circumventing the need for massive datasets and offering additional benefits in interpretability. Other increasingly complex approaches are discussed in the outstanding review by van Tilborg et al. [@low_data_review]. While iterations on LRs and novel approaches to low-data regimes have been in development, the classical QSPR community has continued their work. @@ -137,7 +145,7 @@ For the purposes of this study, it will be used to refer to datasets with ~1000 At its core the `fastprop` 'architecture' is simply the `mordred` molecular descriptor calculator [^2] [@mordred] connected to a Feedforward Neural Network (FNN) implemented in PyTorch Lightning [@lightning] (Figure \ref{logo}) - an existing approach formalized into an easy-to-use, reliable, and correct implementation. `fastprop` is highly modular for seamless integration into existing workflows and includes and end-to-end Command Line Interface (CLI) for general use. In the latter mode the user simply specifies a set of SMILES [@smiles], a linear textual encoding of molecules, and their corresponding target values. -`fastprop` automatically calculates and caches the corresponding molecular descriptors with `mordred`, re-scales both the descriptors and the targets appropriately, and then trains an FNN to predict the indicated targets. +`fastprop` optionally standardizes input molecule and then automatically calculates and caches the corresponding molecular descriptors with `mordred`, re-scales both the descriptors and the targets appropriately, and then trains an FNN to predict the indicated targets. By default this FNN is two hidden layers with 1800 neurons each connected by ReLU activation functions, though the configuration can be readily changed via the CLI or configuration file. Multitask regression and multi-label classification are also supported and configurable in the same manner. `fastprop` principally owes its success to the cogent set of descriptors assembled by the developers of `mordred`. @@ -155,7 +163,7 @@ Esaki and coauthors started a QSPR study with `mordred` descriptors for a datase Yalamanchi and coauthors used DL on `mordred` descriptors as part of a two-headed representation, but their network architecture was sequential hidden layers _decreasing_ in size to only 12 features [@yalamanchi] as opposed to the constant 1800 in `fastprop`. The reason `fastprop` stands out from these studies and contradicts previous reports is for the simple reason that it works. -As discussed at length in the [Results & Discussion](#results--discussion) section, this approach matches the performance of leading LR approaches on common benchmark datasets and bespoke QSPR models on small real-world datasets. +As discussed at length in the [Results & Discussion](#results--discussion) section, this approach statistically matches or exceeds the performance of leading LR approaches on common benchmark datasets and bespoke QSPR models on small real-world datasets. `fastprop` also overcomes the limitations of LRs discussed above. The FNN architecture and use of physically meaningful molecular descriptors enables the application of SHAP [@shap], a common tool for feature importance analysis (see [Interpretability](#interpretability)). The simplicity of the framework enables domain experts to apply it easily and makes model training dramatically faster than LRs. @@ -240,6 +248,10 @@ The insignificant time spent manually collating Chemprop results (Chemprop does The coarse comparison of the two packages is intended to emphasize the scaling of LRs and Deep-QSPR and that `fastprop` is, generally speaking, much faster. All models trained for this study were run on a Dell Precision series laptop with an NVIDIA Quadro RTX 4000 GPU and Intel Xeon E-2286M CPU. +Because the diversity of methods across these different datasets complicates inter-dataset comparisons, an additional set of benchmarks using an identical method across all datasets is included in Additional File 1, Table S1. +This benchmark compares `fastprop`, Chemprop, and the aforementioned Transformer-CNN, which is especially suitable for the small datasets included therein. +No long-form commentary on benchmark results is provided, though the conclusions are largely the same as those shown here. + ### Performance Metrics The evaluation metrics used in each of these benchmarks are chosen to match literature precedent, particularly as established by MoleculeNet [@moleculenet], where available. It is common to use scale-dependent metrics that require readers to understand the relative magnitude of the target variables. From 6bf5a25a69f222ed369d7b4ef69189d501bf4668 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 14:40:19 -0500 Subject: [PATCH 10/18] allow not using the whole cpu for mordred calculation --- README.md | 3 +++ fastprop/descriptors.py | 7 ++++++- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 520df7e..d5eadb4 100644 --- a/README.md +++ b/README.md @@ -103,6 +103,9 @@ After installation, `fastprop` is accessible from the command line via `fastprop Try `fastprop --help` or `fastprop subcommand --help` for more information and see below. +> [!TIP] +> `fastprop` will use all of your CPUs for descriptor calculation by default - set the `MORDRED_NUM_PROC` environment variable to some other number to change this behavior. + ### Configuration File [recommended] See `examples/example_fastprop_train_config.yaml` for configuration files that show all options that can be configured during training. It is everything shown in the [Configurable Parameters](#configurable-parameters) section. diff --git a/fastprop/descriptors.py b/fastprop/descriptors.py index 3154988..489e5f4 100644 --- a/fastprop/descriptors.py +++ b/fastprop/descriptors.py @@ -1,3 +1,4 @@ +import os import datetime from importlib.metadata import version from time import perf_counter @@ -14,6 +15,10 @@ logger = init_logger(__name__) +_N_CPUS = psutil.cpu_count(logical=True) +if (_n_cpus := int(os.environ.get("MORDRED_NUM_PROC", 0))) > 0: + _N_CPUS = _n_cpus + def _descriptor_names_to_mordred_class(string_list: List[str] = [], include_3d: bool = False): """Wraps a weird quirk of the mordred calculator library - descriptors must be passed @@ -51,7 +56,7 @@ def _mols_to_desciptors(descriptors: List[Descriptor], rdkit_mols: List[rdchem.M start = perf_counter() mordred_calc = Calculator(descriptors) logger.info("Calculating descriptors") - mordred_descs = np.array(list(mordred_calc.map(rdkit_mols, nproc=psutil.cpu_count(logical=True), quiet=False))) + mordred_descs = np.array(list(mordred_calc.map(rdkit_mols, nproc=_N_CPUS, quiet=False))) logger.info(f"Descriptor calculation complete, elapsed time: {str(datetime.timedelta(seconds=perf_counter() - start))}") return mordred_descs From 8a0b354074e8e5e2a5f0450115cd9f141299b0c1 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 15:03:12 -0500 Subject: [PATCH 11/18] fix bug where hopt would not run if gpu not present --- fastprop/cli/train.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/fastprop/cli/train.py b/fastprop/cli/train.py index ba75de6..78d579a 100644 --- a/fastprop/cli/train.py +++ b/fastprop/cli/train.py @@ -146,6 +146,9 @@ def train_fastprop( targets_ref = ray.put(targets) descriptors_ref = ray.put(descriptors) metric = fastprop.get_metric(problem_type) + resources = {"cpu": psutil.cpu_count()} + if torch.cuda.is_available(): + resources["gpu"] = 1 tuner = tune.Tuner( tune.with_resources( lambda trial: _hopt_objective( @@ -173,7 +176,7 @@ def train_fastprop( target_columns, output_subdirectory, ), - resources={"gpu": 1, "cpu": psutil.cpu_count()}, + resources=resources, ), tune_config=tune.TuneConfig( metric=metric, From df073d2fa5f73e8fa43c7e17daff0ad8025e88b0 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 15:03:25 -0500 Subject: [PATCH 12/18] expand on some possible drawbacks --- paper/paper.bib | 20 ++++++++++++++++++++ paper/paper.md | 7 +++++++ 2 files changed, 27 insertions(+) diff --git a/paper/paper.bib b/paper/paper.bib index 3b7f97f..e8557c5 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -470,6 +470,26 @@ @article{wu_photovoltaic pages = {18991-19000} } +@Article{tetko_overfit, + author={Tetko, Igor V. + and van Deursen, Ruud + and Godin, Guillaume}, + title={Be aware of overfitting by hyperparameter optimization!}, + journal={Journal of Cheminformatics}, + year={2024}, + month={Dec}, + day={09}, + volume={16}, + number={1}, + pages={139}, + abstract={Hyperparameter optimization is very frequently employed in machine learning. However, an optimization of a large space of parameters could result in overfitting of models. In recent studies on solubility prediction the authors collected seven thermodynamic and kinetic solubility datasets from different data sources. They used state-of-the-art graph-based methods and compared models developed for each dataset using different data cleaning protocols and hyperparameter optimization. In our study we showed that hyperparameter optimization did not always result in better models, possibly due to overfitting when using the same statistical measures. Similar results could be calculated using pre-set hyperparameters, reducing the computational effort by around 10,000 times. We also extended the previous analysis by adding a representation learning method based on Natural Language Processing of smiles called Transformer CNN. We show that across all analyzed sets using exactly the same protocol, Transformer CNN provided better results than graph-based methods for 26 out of 28 pairwise comparisons by using only a tiny fraction of time as compared to other methods. Last but not least we stressed the importance of comparing calculation results using exactly the same statistical measures.}, + issn={1758-2946}, + doi={10.1186/s13321-024-00934-w}, + url={https://doi.org/10.1186/s13321-024-00934-w} +} + + + @article{hopv15_subset, title = {Predicting Power Conversion Efficiency of Organic Photovoltaics: Models and Data Analysis}, volume = {6}, diff --git a/paper/paper.md b/paper/paper.md index 446a7a0..3db3823 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -698,6 +698,13 @@ sys 0m30.473s # Limitations and Future Work ## Negative Results +The `fastprop` framework is not without its drawbacks. +The two subsequent sections explore in greater detail two specific cases where `fastprop` loses out to existing methods, but some general notes about out-of-distribution predictions and overfitting are also included here. +Like all machine learning methods, `fastprop` is not intended to make predictions outside of its training feature space. +The use of molecular descriptors, which can become out-of-distribution, may exacerbate this problem but `fastprop` can optionally winsorize the descriptors to counteract this issue. +Additionally, hyperparameter optimization of machine learning models in cheminformatics has been known to cause overfitting [@tetko_overfit], especially on small datasets. +Users should be cautious when optimizing `fastprop` models and rely on defaults when possible. + ### Delta Learning with Fubrain First described by Esaki and coauthors, the Fraction of Unbound Drug in the Brain (Fubrain) dataset is a collection of about 0.3k small molecule drugs and their corresponding experimentally measured unbound fraction in the brain, a critical metric for drug development [@fubrain]. This specific target in combination with the small dataset size makes this benchmark highly relevant for typical QSPR studies, particular via delta learning. From fcac7925b792bc74a47bf6679bdef515231480a5 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 15:06:45 -0500 Subject: [PATCH 13/18] clarify how to get to the datasets --- paper/additional_file_1.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/paper/additional_file_1.md b/paper/additional_file_1.md index 9e3cab0..5333c3b 100644 --- a/paper/additional_file_1.md +++ b/paper/additional_file_1.md @@ -13,9 +13,11 @@ header-includes: ## Table S1 The following table shows the performance (see Metric column) for Chemprop, Transformer-CNN, and `fastprop` across various open datasets. -All datasets are retrieved from MoleculeNet, except Tox24 which was retrieved from [OChem.eu](https://ochem.eu/static/challenge.do). -Benchmarks are sorted by size, descending. +For further information about exact software versions for reproducing these results, see this GitHub repository which hosts both the training code and the results: [github.com/JacksonBurns/fastprop-benchmark](https://github.com/JacksonBurns/fastprop-benchmark). +All datasets are retrieved from MoleculeNet, except Tox24 which was retrieved from [OChem.eu](https://ochem.eu/static/challenge.do) - direct links are provided in the aforementioned repository. + +Benchmarks are sorted by size, descending. Each result is the average and standard deviation across five randomly selected train/val/test splits of 0.70/0.10/0.20. All models were trained with their default settings. Augmentation at training or inference time was not performed, although suggested for Transformer-CNN by its authors, to ensure a fair comparison is made. @@ -23,7 +25,6 @@ For Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) lower is better The Tukey test is used to check for pairwise statistical differences between the three models. The best performing model(s) which are statistically significantly different from the others are shown in bold. -For further information about exact software versions for reproducing these results, see this GitHub repository which hosts both the training code and the results: [github.com/JacksonBurns/fastprop-benchmark](https://github.com/JacksonBurns/fastprop-benchmark). \newpage \blandscape From 7f13caca96cd9073d991b7eae9b8729224074abd Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 15:58:15 -0500 Subject: [PATCH 14/18] allow using entire dataset for training --- README.md | 3 ++- fastprop/data.py | 52 +++++++++++++++++++++++++++++++----------------- 2 files changed, 36 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index d5eadb4..2eac44f 100644 --- a/README.md +++ b/README.md @@ -77,7 +77,7 @@ There are four distinct steps in `fastprop` that define its framework: _and_ - Number of FNN layers (default 2; repeated fully connected layers of hidden size) - Hidden Size: number of neurons per FNN layer (default 1800) - - Clamp Input: Enable/Disable input clamp to +/-3 to aid in extrapolation (default False). + - Clamp Input: Enable/Disable input clamp to +/-3 (winsorization) to aid in extrapolation (default False). _or_ - Hyperparameter optimization: runs hyperparameter optimization identify the optimal number of layers and hidden size @@ -87,6 +87,7 @@ There are four distinct steps in `fastprop` that define its framework: - Learning rate - Batch size - Problem type (one of: regression, binary, multiclass (start labels from 0), multilabel) + - Training, Validation, and Testing fraction (set testing to zero to use all data for training and validation) 4. Prediction - Input SMILES: either a single SMILES or file of SMILES strings on individual lines - Output format: filepath to write the results or nothing, defaults to stdout diff --git a/fastprop/data.py b/fastprop/data.py index 16299d0..7acff0f 100644 --- a/fastprop/data.py +++ b/fastprop/data.py @@ -1,9 +1,10 @@ + from typing import List, Literal, Optional, Tuple import numpy as np import torch -from astartes import train_val_test_split -from astartes.molecules import train_val_test_split_molecules +from astartes import train_val_test_split, train_test_split +from astartes.molecules import train_val_test_split_molecules, train_test_split_molecules from rdkit import Chem from torch.utils.data import DataLoader as TorchDataloader from torch.utils.data import Dataset as TorchDataset @@ -37,30 +38,45 @@ def split( Returns: tuple[np.ndarray, np.ndarray, np.ndarray]: Indices for training, validation, and testing. """ + if sampler not in {"random", "scaffold"}: + raise TypeError(f"Unknown sampler {sampler=}.") split_kwargs = dict( train_size=train_size, - val_size=val_size, - test_size=test_size, sampler=sampler, random_state=random_seed, return_indices=True, ) if sampler == "random": - ( - *_, - train_idxs, - val_idxs, - test_idxs, - ) = train_val_test_split(np.arange(len(smiles)), **split_kwargs) + if test_size: + ( + *_, + train_idxs, + val_idxs, + test_idxs, + ) = train_val_test_split(np.arange(len(smiles)), test_size=test_size, val_size=val_size, **split_kwargs) + else: + ( + *_, + train_idxs, + val_idxs, + ) = train_test_split(np.arange(len(smiles)), test_size=val_size, **split_kwargs) + test_idxs = np.array([]) elif sampler == "scaffold": - ( - *_, - train_idxs, - val_idxs, - test_idxs, - ) = train_val_test_split_molecules(smiles, **split_kwargs) - else: - raise TypeError(f"Unknown sampler {sampler=}.") + if test_size: + ( + *_, + train_idxs, + val_idxs, + test_idxs, + ) = train_val_test_split_molecules(smiles, test_size=test_size, val_size=val_size, **split_kwargs) + else: + ( + *_, + train_idxs, + val_idxs, + ) = train_test_split_molecules(smiles, test_size=val_size, **split_kwargs) + test_idxs = np.array([]) + return train_idxs, val_idxs, test_idxs From 7b720fa4f4715b365d223a8d651b1e18cf44c833 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 15:58:46 -0500 Subject: [PATCH 15/18] formatting --- examples/oom_training.py | 3 +-- fastprop/cli/base.py | 4 +++- fastprop/data.py | 3 +-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/examples/oom_training.py b/examples/oom_training.py index f8d79a4..8dd306d 100644 --- a/examples/oom_training.py +++ b/examples/oom_training.py @@ -227,8 +227,7 @@ def __init__( # mock the target scaler used for reporting some human-readable metrics self.target_scaler = SimpleNamespace(n_features_in_=1, inverse_transform=lambda i: np.array(i)) - def setup(self, stage=None): - ... # skip feature scaling and dataset splitting + def setup(self, stage=None): ... # skip feature scaling and dataset splitting def _init_dataloader(self, shuffle, idxs): return TorchDataloader( diff --git a/fastprop/cli/base.py b/fastprop/cli/base.py index e777836..27c12ef 100644 --- a/fastprop/cli/base.py +++ b/fastprop/cli/base.py @@ -32,7 +32,9 @@ def main(): train_subparser.add_argument("-tc", "--target-columns", nargs="+", help="column name(s) for target(s)") train_subparser.add_argument("-sc", "--smiles-column", help="column name for SMILES") train_subparser.add_argument("-ds", "--descriptor-set", help="descriptors to calculate (one of all, optimized, or debug)") - train_subparser.add_argument("-s", "--standardize", action="store_true", default=False, help="call rdMolStandardize.Cleanup function on molecules") + train_subparser.add_argument( + "-s", "--standardize", action="store_true", default=False, help="call rdMolStandardize.Cleanup function on molecules" + ) train_subparser.add_argument("-ec", "--enable-cache", type=bool, help="allow saving and loading of cached descriptors") train_subparser.add_argument("-p", "--precomputed", help="precomputed descriptors from fastprop or mordred") diff --git a/fastprop/data.py b/fastprop/data.py index 7acff0f..ee90dc4 100644 --- a/fastprop/data.py +++ b/fastprop/data.py @@ -1,4 +1,3 @@ - from typing import List, Literal, Optional, Tuple import numpy as np @@ -76,7 +75,7 @@ def split( val_idxs, ) = train_test_split_molecules(smiles, test_size=val_size, **split_kwargs) test_idxs = np.array([]) - + return train_idxs, val_idxs, test_idxs From 2579d02dedf39d2b42ea866ef849f547d3684600 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 16:01:53 -0500 Subject: [PATCH 16/18] allow disabling scaling, in case you already did it outside of predict --- fastprop/model.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/fastprop/model.py b/fastprop/model.py index c5c2be1..eaa0bf9 100644 --- a/fastprop/model.py +++ b/fastprop/model.py @@ -161,17 +161,18 @@ def test_step(self, batch, batch_idx): self._human_loss(y_hat, batch, "test") return loss - def predict_step(self, batch: Tuple[torch.Tensor]): + def predict_step(self, batch: Tuple[torch.Tensor], rescale: bool = True): """Applies feature scaling and appropriate activation function to a Tensor of descriptors. Args: batch (tuple[torch.Tensor]): Unscaled descriptors. + rescale (bool, optional): Apply rescaling according to trained means and vars. Default True. Returns: torch.Tensor: Predictions. """ descriptors = batch[0] - if self.feature_means is not None and self.feature_vars is not None: + if rescale and self.feature_means is not None and self.feature_vars is not None: descriptors = standard_scale(descriptors, self.feature_means, self.feature_vars) with torch.inference_mode(): logits = self.forward(descriptors) From f45906513fced73f206ea6990623aacf063a548c Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 16:09:31 -0500 Subject: [PATCH 17/18] delete trash file --- benchmarks/pgp/benchmark_data.csv.1 | 63 ----------------------------- 1 file changed, 63 deletions(-) delete mode 100644 benchmarks/pgp/benchmark_data.csv.1 diff --git a/benchmarks/pgp/benchmark_data.csv.1 b/benchmarks/pgp/benchmark_data.csv.1 deleted file mode 100644 index 4fda611..0000000 --- a/benchmarks/pgp/benchmark_data.csv.1 +++ /dev/null @@ -1,63 +0,0 @@ -Code,Set,Journal,Title,Authors,Year,Number,Volume,"First Page","Last Page" -1,Internal,"Biochem. Biophys. Res. Commun.","Reversal of P-glycoprotein-mediated MDR by 5,7,3',4',5'-pentamethoxyflavone and SAR","Choi, C.H.; Kim, J.H.; Kim, S.H.",2004,320,3,672,679 -2,Internal,"Chem. Res. Toxicol.","Quantitative distinctions of active site molecular recognition by P-glycoprotein and cytochrome P450 3A4","Wang, E.; Lew, K.; Barecki, M.; Casciano, C.N.; Clement, R.P.; Johnson, W.W.",2001,14,12,1596,1603 -3,Internal,"Clin. Cancer Res.","VX-710 (biricodar) increases drug retention and enhances chemosensitivity in resistant cells overexpressing P-glycoprotein, multidrug resistance protein, and breast cancer resistance protein","Minderman, H.; O'Loughlin, K.L.; Pendyala, L.; Baer, M.R.",2004,10,5,1826,1834 -4,Internal,"Drug Metab. Dispos.","Mibefradil is a P-glycoprotein substrate and a potent inhibitor of both P-glycoprotein and CYP3A in vitro","Wandel, C.; Kim, R.B.; Guengerich, F.P.; Wood, A.J.",2000,28,8,895,898 -5,Internal,"Drug Metab. Dispos.","The anthelminthic agent albendazole does not interact with p-glycoprotein","Merino, G.; Alvarez, A.I.; Prieto, J.G.; Kim, R.B.",2002,30,4,365,369 -6,Internal,"Drug Metab. Dispos.","Differential interaction of 3-hydroxy-3-methylglutaryl-coa reductase inhibitors with ABCB1, ABCC2, and OATP1B1","Chen, C.; Mireles, R.J.; Campbell, S.D.; Lin, J.; Mills, J.B.; Xu, J.J.; Smolarek, T.A.",2005,33,4,537,546 -7,Internal,"Drug Metab. Dispos.","In vitro p-glycoprotein inhibition assays for assessment of clinical drug interaction potential of new drug candidates: a recommendation for probe substrates","Rautio, J.; Humphreys, J.E.; Webster, L.O.; Balakrishnan, A.; Keogh, J.P.; Kunta, J.R.; Serabjit-Singh, C.J.; Polli, J.W.",2006,34,5,786,792 -8,Internal,"Drug Metab. Dispos.","In vitro P-glycoprotein assays to predict the in vivo interactions of P-glycoprotein with drugs in the central nervous system","Feng, B.; Mills, J.B.; Davidson, R.E.; Mireles, R.J.; Janiszewski, J.S.; Troutman, M.D.; de Morais, S.M.",2008,36,2,268,275 -9,Internal,"Eur. J. Pharm. Sci.","Inhibitory effects of CYP3A4 substrates and their metabolites on P-glycoprotein-mediated transport.","Katoh, M.; Nakajima, M.; Yamazaki, H.; Yokoi, T.",2001,12,4,505,513 -10,Internal,"Eur. J. Pharm. Sci.","Development, validation and utility of an in vitro technique for assessment of potential clinical drug-drug interactions involving P-glycoprotein","Keogh, J.P.; Kunta, J.R.",2006,27,5,543,554 -11,Internal,"Eur. J. Pharm. Sci.","The potential inhibitory effect of antiparasitic drugs and natural products on P-glycoprotein mediated efflux","Hayeshi, R.; Masimirembwa, C.; Mukanganyama, S.; Ungell, A.L.",2006,29,1,70,81 -13,Internal,"Cancer Res.","Reversal of P-glycoprotein-mediated multidrug resistance by a potent cyclopropyldibenzosuberane modulator, LY335979","Dantzig, A.H.; Shepard, R.L.; Cao, J.; Law, K.L.; Ehlhardt, W.J.; Baughman, T.M.; Bumol, T.F.; Starling, J.J.",1996,56,18,4171,4179 -14,Internal,"Jpn. J. Pharmacol.","Reversal of multidrug resistance in human leukemia K562 by tamolarizine, a novel calcium antagonist","Miyake, N.; Fujita, R.; Ishikawa, M.; Takayanagi, M.; Takayanagi, Y.; Sasaki, K.",2000,86,3,265,268 -15,Internal,"J. Med. Chem.","Comparison of in vitro P-glycoprotein screening assays: recommendations for their use in drug discovery","Schwab, D.; Fischer, H.; Tabatabaei, A.; Poli, S.; Huwyler, J.",2003,46,9,1716,1725 -16,Internal,"J. Med. Chem.","Substituted 4-acylpyrazoles and 4-acylpyrazolones: synthesis and multidrug resistance-modulating activity","Chiba, P.; Holzer, W.; Landau, M.; Bechmann, G.; Lorenz, K.; Plagens, B.; Hitzler, M.; Richter, E.; Ecker, G.",1998,41,21,4001,4011 -17,Internal,"J. Pharm. Sci.","Characterization of dexloxiglumide in vitro biopharmaceutical properties and active transport","Tolle-Sander, S.; Grill, A.; Joshi, H.; Kapil, R.; Persiani, S.; Polli, J.E.",2003,92,10,1968,1980 -18,Internal,"J. Pharm. Sci.","Limited influence of P-glycoprotein on small-intestinal absorption of cilostazol, a high absorptive permeability drug","Toyobuku, H.; Tamai, I.; Ueno, K.; Tsuji, A.",2003,92,11,2249,2259 -19,Internal,"J. Biomol. Screening","High-Throughput Screening for Daunorubicin-Mediated Drug Resistance Identifies Mometasone Furoate as a Novel ABCB1-Reversal Agent","Winter, S.S.; Lovato, M.L.; Khawaja, H.M.; Edwards B.S.; Steele I.D.; Young, S.M.; Oprea, T.I.; Skylar, L.A.; Larson, R.S.",2008,13,3,185,193 -20,Internal,"J. Pharmacol. Exp. Ther.","Characterization of the major metabolites of verapamil as substrates and inhibitors of P-glycoprotein","Pauli-Magnus, C.; von Richter, O.; Burk, O.; Ziegler, A.; Mettang, T.; Eichelbaum, M.; Fromm, M.F.",2000,293,2,376,378 -21,Internal,"J. Pharmacol. Exp. Ther.","Rational use of in vitro P-glycoprotein assays in drug discovery","Polli, J.W.; Wring, S.A.; Humphreys, J.E.; Huang, L.; Morgan, J.B.; Webster, L.O.; Serabjit-Singh, C.S.",2001,299,2,620,628 -22,Internal,"J. Pharmacol. Exp. Ther.","Passive permeability and P-glycoprotein-mediated efflux differentiate central nervous system (CNS) and non-CNS marketed drugs","Mahar Doan, K.M.; Humphreys, J.E.; Webster, L.O.; Wring, S.A.; Shampine, L.J.; Serabjit-Singh, C.J.; Adkison, K.K.; Polli, J.W.",2002,303,3,1029,1037 -23,Internal,"J. Pharmacol. Exp. Ther.","Characterization of P-glycoprotein inhibition by major cannabinoids from marijuana","Zhu, H.J.; Wang, J.S.; Markowitz, J.S.; Donovan, J.L.; Gibson, B.B.; Gefroh, H.A.; Devane, C.L.",2006,317,2,850,857 -24,Internal,"J. Vet. Pharmacol. Ther.","Selamectin is a potent substrate and inhibitor of human and canine P-glycoprotein","Griffin, J.; Fletcher, N.; Clemence, R.; Blanchflower, S.; Brayden, D.J.",2005,28,3,257,265 -25,Internal,"Mol. Pharmacol.","Three-dimensional quantitative structure-activity relationships of inhibitors of P-glycoprotein","Ekins, S.; Kim, R.B.; Leake, B.F.; Dantzig, A.H.; Schuetz, E.G.; Lan L.B.; Yasuda K.; Shepard, R.L.; Winter, M.A.; Schuetz, J.D.; Wikel, J.H.; Wrighton, S.A.",2002,61,5,964,973 -26,Internal,"Mol. Pharmacol.","Application of three-dimensional quantitative structure-activity relationships of P-glycoprotein inhibitors and substrates","Ekins, S.; Kim, R.B.; Leake, B.F.; Dantzig, A.H.; Schuetz, E.G.; Lan, L.B.; Yasuda, K.; Shepard, R.L.; Winter, M.A.; Schuetz, J.D.; Wikel, J.H.; Wrighton, S.A.",2002,61,5,974,981 -27,Internal,"Naunyn-Schmiedeberg's Arch. Pharmacol.","A novel screening strategy to identify ABCB1 substrates and inhibitors","von Richter, O.; Glavinas, H.; Krajcsi, P.; Liehner, S.; Siewert, B.; Zech, K.",2009,379,1,11,26 -28,Internal,http://pdsp.med.unc.edu/indexR.html,,,,,,, -29,Internal,"Pfluegers Arch.","P-glycoprotein inhibition by glibenclamide and related compounds","Golstein, P.E.; Boom, A.; van Geffel, J.; Jacobs, P.; Masereel, B.; Beauwens, R.",1999,437,5,652,660 -30,Internal,"Pharm. Res.","Chemogenomic analysis identifies geldanamycins as substrates and inhibitors of ABCB1","Huang, Y.; Blower, P.E.; Liu, R.; Dai, Z.; Pham, A.N.; Moon, H.; Fang, J.; Sadée, W.",2007,24,9,1702,1712 -31,Internal,"Pharm. Res.","Interrelationship between substrates and inhibitors of human CYP3A and P-glycoprotein","Kim, R.B.; Wandel, C.; Leake, B.; Cvetkovi,c M.; Fromm, M.F.; Dempsey, P.J.; Roden, M.M.; Belas, F.; Chaudhary, A.K.; Roden, D.M.; Wood, A.J.; Wilkinson, G.R.",1999,16,3,408,414 -32,Internal,"Pharm. Res.","Rapid assessment of P-glycoprotein inhibition and induction in vitro","Perloff, M.D.; Störmer, E.; von Moltke, L.L.; Greenblatt, D.J.",2003,20,8,1177,1184 -33,Internal,Psychopharmacology,"Evaluation of antipsychotic drugs as inhibitors of multidrug resistance transporter P-glycoprotein","Wang, J.S.; Zhu, H.J.; Markowitz, J.S.; Donovan, J.L.; DeVane, C.L.",2006,187,4,415,423 -34,Internal,"Toxicol. Appl. Pharmacol.","Interaction of structurally diverse pesticides with the human MDR1 gene product P-glycoprotein","Bain, L.J.; LeBlanc, G.A.",1996,141,1,288,298 -35,Internal,"Cancer Lett.","Reversal of P-glycoprotein mediated multidrug resistance by a newly synthesized 1,4-benzothiazipine derivative, JTV-519","Che, X.F.; Nakajima, Y.; Sumizawa, T.; Ikeda, R.; Ren, X.Q.; Zheng, C.L.; Mukai, M.; Furukawa, T.; Haraguchi, M.; Gao, H.; Sugimoto, Y.; Akiyama S.",2002,187,1,111,119 -36,Internal,Blood,"Comparative evaluation of S9788, verapamil, and cyclosporine A in K562 human leukemia cell lines and in P-glycoprotein-expressing samples from patients with hematologic malignancies","Merlin, J.L.; Guerci, A.; Marchal, S.; Missoum, N.; Ramacci, C.; Humbert, J.C.; Tsuruo, T.; Guerci, O.",1994,84,1,262,269 -37,Internal,"Biochem. Pharmacol.","Mechanism of action of dexniguldipine-HCl (B8509-035), a new potent modulator of multidrug resistance","Hofmann, J.; Gekeler, V.; Ise, W.; Noller, A.; Mitterdorfer, J.; Hofer, S.; Utz, I.; Gotwald, M.; Boer, R.; Glossmann, H. Grunicke, H.H.",1995,49,5,603,609 -38,Internal,"Cancer Chemother. Pharmacol.","New multidrug-resistance-reversing drugs, MS-209 and SDZ PSC 833","Naito, M.; Tsuruo, T.",1997,40,S,20,24 -39,Internal,"Biochem. Pharmacol.","Structure-activity relationship of verapamil analogs and reversal of multidrug resistance","Toffoli, G.; Simone, F.; Corona, G.; Raschack, M.; Cappelletto, B.; Gigante, M.; Boiocchi, M.",1995,50,8,1245,1255 -40,Internal,"Cancer Res.","P-glycoprotein and cytochrome P-450 3A inhibition: dissociation of inhibitory potencies","Wandel, C.; Kim, R.B.; Kajiji, S.; Guengerich, P.; Wilkinson, G.R.; Wood, A.J.",1999,59,16,3944,3948 -41,Internal,"Eur. J. Pharmacol.","Selective inhibition of MDR1 (ABCB1) by HM30181 increases oral bioavailability and therapeutic efficacy of paclitaxel","Kwak, J.O.; Lee, S.H.; Lee, G.S.; Kim, M.S.; Ahn, Y.G.; Lee, J.H.; Kim, S.W.; Kim, K.H.; Lee, M.G.",2010,627,1,92,98 -42,External,"J. Med. Chem.","A comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) of anthranilamide derivatives that are multidrug resistance modulators","Labrie, P.; Maddaford, S.P.; Fortin, S.; Rakhit, S.; Kotra, L.P.; Gaudreault, R.C.",2006,49,26,7646,7660 -43,External,"J. Med. Chem.","Studies on pyrrolopyrimidines as selective inhibitors of multidrug-resistance-associated protein in multidrug resistance","Wang, S.; Folkes, A.; Chuckowree, I.; Cockcroft, X.; Sohal, S.; Miller, W.; Milton, J.; Wren, S.P.; Vicker, N.; Depledge, P.; Scott, J.; Smith, L.; Jones, H.; Mistry, P.; Faint, R.; Thompson, D.; Cocks, S.",2004,47,6,1329,1338 -44,External,"J. Med. Chem.","Three-dimensional quantitative structure-activity relationship analysis of propafenone-type multidrug resistance modulators: influence of variable selection on test set predictivity","Fleischer, R.; Wiese, M.",2003,46,23,4988,5004 -45,External,"J. Med. Chem.","Substituted 4-acylpyrazoles and 4-acylpyrazolones: synthesis and multidrug resistance-modulating activity","Chiba, P.; Holzer, W.; Landau, M.; Bechmann, G.; Lorenz, K.; Plagens, B.; Hitzler, M.; Richter, E.; Ecker, G.",1998,41,21,4001,4011 -46,External,"J. Med. Chem.","Synthesis and in vitro multidrug resistance modulating activity of a series of dihydrobenzopyrans and tetrahydroquinolines","Hiessböck, R.; Wolf, C.; Richter, E.; Hitzler, M.; Chiba, P.; Kratzel, M.; Ecker, G.",1999,42,11,1921,1926 -47,External,"J. Med. Chem.","Synthesis and biological evaluation of (hetero)arylmethyloxy- and arylmethylamine-phenyl derivatives as potent P-glycoprotein modulating agents","Colabufo, N.A.; Berardi, F.; Perrone, R.; Rapposelli, S.; Digiacomo, M.; Vanni, M.; Balsamo, A.",2008,51,5,1415,1422 -49,External,"J. Med. Chem.","Biological evaluation of bishydroxymethyl-substituted cage dimeric 1,4-dihydropyridines as a novel class of p-glycoprotein modulating agents in cancer cells","Richter, M.; Molnár, J.; Hilgeroth, A.",2006,49,9,2838,2840 -51,External,"J. Med. Chem.","New potent P-glycoprotein inhibitors carrying a polycyclic scaffold","Bisi, A.; Gobbi, S.; Rampa, A.; Belluti, F.; Piazzi, L.; Valenti, P.; Gyemant, N.; Molnár, J.",2006,49,11,3049,3051 -52,External,"Bioorg. Med. Chem. Lett.","Synthesis and evaluation of hapalosin and analogs as MDR-reversing agents","O'Connell, C.E.; Salvato, K.A.; Meng, Z.; Littlefield, B.A.; Schwartz, C.E.",1999,9,11,1541,1546 -53,External,"Eur. J. Med. Chem.","Anti-calmodulin acridone derivatives modulate vinblastine resistance in multidrug resistant (MDR) cancer cells","Hegde, R.; Thimmaiah, P.; Yerigeri, M.C.; Krishnegowda, G.; Thimmaiah, K.N.; Houghton, P.J.",2004,39,2,161,167 -54,External,"Bioorg. Med. Chem. Lett.","2,4,5-Trisubstituted imidazoles: novel nontoxic modulators of P-glycoprotein mediated multidrug resistance. Part 1","Sarshar, S.; Zhang, C.; Moran, E.J.; Krane, S.; Rodarte, J.C.; Benbatoul, K.D.; Dixon, R.; Mjalli, A.M.",2000,10,23,2599,2601 -55,External,"Bioorg. Med. Chem. Lett.","2,4,5-Trisubstituted imidazoles: novel nontoxic modulators of P-glycoprotein mediated multidrug resistance. Part 2","Zhang, C.; Sarshar, S.; Moran, E.J.; Krane, S.; Rodarte, J.C.; Benbatoul, K.D.; Dixon, R.; Mjalli, A.M.",2000,10,23,2603,2605 -56,External,"Bioorg. Med. Chem.","In vitro activity of novel dual action MDR anthranilamide modulators with inhibitory activity on CYP-450 (Part 2)","Labrie, P.; Maddaford, S.P.; Lacroix, J.; Catalano, C.; Lee, D.K.; Rakhit, S.; Gaudreault, R.C.",2007,15,11,3854,3856 -57,External,"Bioorg. Med. Chem.","Functional assay and structure-activity relationships of new third-generation P-glycoprotein inhibitors","Müller, H.; Pajeva, I.K.; Globisch, C.; Wiese, M.",2008,16,5,2448,2462 -58,External,"Bioorg. Med. Chem.","New derivatives of silybin and 2,3-dehydrosilybin and their cytotoxic and P-glycoprotein modulatory activity","Dzubák, P.; Hajdúch, M.; Gazák, R.; Svobodová, A.; Psotová, J.; Walterová, D.; Sedmera, P.; Kren, V.",2006,14,11,3793,3810 -59,External,"Bioorg. Med. Chem.","New functional assay of P-glycoprotein activity using Hoechst 33342","Müller, H.; Klinkhammer, W.; Globisch, C.; Kassack, M.U.; Pajeva, I.K.; Wiese, M.",2007,15,23,7470,7479 -60,External,"Mol. Pharmacol.","Quantitative structure-activity relationship of multidrug resistance reversal agents","Klopman, G.; Shi, L.M.; Ramu, A.",1997,52,2,323,324 -61,Internal,"J. Med. Chem.","Increased anti-P-glycoprotein activity of baicalein by alkylation on the A ring","Lee, Y.; Yeo, H.; Liu, S.H.; Jiang, Z.; Savizky, R.M.; Austin, D.J.; Cheng, Y.C.",2004,47,22,5555,5566 -62,Internal,"J. Med. Chem.","Self-organizing maps for identification of new inhibitors of P-glycoprotein","Kaiser, D.; Terfloth, L.; Kopp, S.; Schulz, J.; de Laet, R.; Chiba, P.; Ecker, G.F.; Gasteiger, J.",2007,50,7,1698,1702 -63,Internal,"J. Med. Chem.","2-[(3-Methoxyphenylethyl)phenoxy]-based ABCB1 inhibitors: effect of different basic side-chains on their biological properties","Colabufo, N.A.; Berardi, F.; Perrone, R.; Rapposelli, S.; Digiacomo, M.; Vanni, M.; Balsamo, A.",2008,51,23,7602,7612 -64,Internal,"J. Med. Chem.","C-7 analogues of progesterone as potent inhibitors of the P-glycoprotein efflux pump","Leonessa, F.; Kim, J.H.; Ghiorghis, A.; Kulawiec, R.J.; Hammer, C.; Talebian, A.; Clarke, R.",2002,45,2,390,398 -65,External,"J. Med. Chem.","Flavonoid dimers as bivalent modulators for P-glycoprotein-based multidrug resistance: synthetic apigenin homodimers linked with defined-length poly(ethylene glycol) spacers increase drug retention and enhance chemosensitivity in resistant cancer cells","Chan, K.F.; Zhao, Y.; Burkett, B.A.; Wong, I.L.; Chow, L.M.; Chan, T.H.",2006,49,23,6742,6759 From 01ac0269e6929b594e18405a7c59a86c31079367 Mon Sep 17 00:00:00 2001 From: JacksonBurns Date: Thu, 16 Jan 2025 16:24:28 -0500 Subject: [PATCH 18/18] re-render PDFs --- paper/additional_file_1.pdf | Bin 0 -> 106671 bytes paper/paper.pdf | Bin 603619 -> 606546 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 paper/additional_file_1.pdf diff --git a/paper/additional_file_1.pdf b/paper/additional_file_1.pdf new file mode 100644 index 0000000000000000000000000000000000000000..6eb04488202131fc743cdc944d813620531d8b70 GIT binary patch literal 106671 zcma%?Ly#~4uVve|ZQHhO+qP}@*S2ljwr$(C=YONkTg+sYTiKs`E2)qwh=|cL(y>C3 z&M%LwLoqTCFc8=qSwZpeK+(&X+L^mp5HPZ^GZOsIf}$6*v~e+YBA^$uF?2B%F*UX~ zF@@segK~CpGBvb?^4RoMm$u*HKlCwwH`|QzW3BFD<*lGl^`C94|~O zPIUACnRTETvrO#K$R^~Z_j{@zcgq;(>qYMKt-IaT^--XjLQSirYV5L2m7ch&oTzL( z4W()7BK(Thtu>hq8vrpbv(u?D)op|~TW+3I_uum+;^efSVwyzU=#1~4AeC&_Zi#Zu zI+<*95ogn!+Nvxsw4w_MiYA&W!lat3>^>F>`UgC@eq>v3Vm-D{8x_WzX(?VEZ!)xa zXIN(z$9F^17F)%tvtZXXnc*64ceykQuLxB~tXQuNyETxJJH8t$Fc%I9cQU-GCH_|X z_UYjA3IV=b#BK2Ed=z?IXqWgVm;n|gPC0i(h%%>*f+gI3 z;}dbICnlG|Q@89?f0gsH;5~t-W;(%Tew~fM77AFMF7YuRI(xOx`Oz=xcnT&|U?b2? zH4z72Rce3%n3870%?)8sg2KFnHWY z>>0nG1e6uR4O=VjIJ7;cK4z zHBAn)HgY(IU*)Q)Vq-2qOp(jp-4-4#uNw#0{pQx0xpPd9He5Zy$D8mGKD*-_uW)wl zgd=$m1XOr0I!`ySb?V-wG8O%aqBf2qI|nuk>!2+d#NpkqI%{`R{^hxxXROpyX8Y5$ zHYNa0KrMx){9#@Y0U8L#to_f4#Ifl~B>M_G;-&Z+`jmK$S@8-T6SF3bHBB_?(jZ$* zz)0(#S*JWE(m_OIU<9x%yjjGg!IaFiEGy_Nkid(eya!yMJopMUgy3yoj-KZfX|ZSX z#pQPbg6_HRG`xn#6_AwzLN09XXUhAje#|@_VMfc{0FDQA04|RcY(e{lTz%*e2qBVD zA{Y=&j{=#|9@uJr$th=RmPhz_C)Y!;i28C|M$&k)SEg zwc)pD@>)RFIh7J)G+lXO47%V~yd17La-u|+F2EO1LnUp8m68u=-AL#@=Pyc-F%}yo zw8;cq#qjw8@=*d+A{iBykUWfby3a!cq1Py)^ZXW_7&;`rBD~0Ky_*bo-??zblih%9 zn;&&|WkNTNk_TmKBiJ(NCtnJBv5|HqVzG98dM7p>Q+RWs(N$!+4U&*RXlsP5Wj~H> zK4FZZ{n<`#?7L@MaJl$g;Beu0)WH0MN{%xHby=*s!Wef8_iz$NaIL`upekUA16T~5 zngyts_TlBkT!?sVbh4H#K(( z36*Q7qZpz;3Yi16OcWuS+d8*Tn(5(j~H*~Kf0 zn`>M44v!=aW<|2Th>mZiJC&!ZOx#|&EfwGw2uA#1U>ji2R)zKNmEN{WNu;xBrW8Rk zBb5!ruP?pM^Hr=M?E54k-O^>;TE2NfF|)~mK*?6|6V~Dc2-X+?n5yuIIxe(ZSsdDCxzsdj}8Zxt}ZV&0-#*& z?p&}W;is}0lx8SW58g<|!HMRU*ky-CG;yPwZ2#R*16Kxl_ShvMFS}>0yU%s)AL7XI z??j+-InCG!k*mrJfZGPX9%sBYbR#mqSW=}~qKs@jcrK-|^bDEgg)NmF*%|R%a}2Y2 zeF7()s7_r8nOSS1%tu-P%;x2Eba=nvBW4&cK$+T^{BM%~r~5A#U}FC7cEHKX^1s}G z;Qwt0IcgJ5*z5>BPt*<|RU8iX>#=0Aq;8sSBupI~eC0M&W+|-_)inNjqc+(I9FA1z zk-#vWdsluxUtsX~3XOJ#2Uzf=q`C zfQ1`=ta;a2RYNOFw+wYa(d#ce*@?V7x9;*!QhU*_K4tRy&w!xUms_{52M@o3_@Kjf zXOTBYD?3XsI5$5>H@6L1zVG>28S8rbyttR{{Pue@t6P98aMcm+NV!ib*<>HN`6Bx~ zUc@wT-S!+m@2_c|sFVdMo}p;yQ1Fzq)Uk&*rUmbgsy(^N&HQyxz3S$Ca6w3-W63PG zxNtg!&(t0Ov{`HT>)Duqg3oY|4-xP)kjF=XiitS5mqPvoWR}hdGRO0kMZ|C=Gj#4Y z^s`BgE8nROh{_Z%XEt;Cb@C>lY06t+Rj5ZLClMa2x>pC~Is&kH;!GM*!nv z07~HHA&hI9+Tfbswz&F1N&(Cc@u$rN51ObbXGOv$5 zO|>oIqUfBhtoxLv^|R(OegrX{S}&Lu)R$LLqrIz3nTD%Ul-FQ>7DjYwQ+dtZ`%NXG zVhSFdabmS`1hntc8nJ$$!vTsyK9FVmJ-0HOUj$7Q`jivf}Q%10*iI z0k9j#8cXepMMiHGv3)k~Yr?(8MVTPKD&?fL`-Eqs|M{L&_aa`qWjPVHe-xb)fn$qA zUt%7Tm?;j$E*pxC*$zc&8xWf4-r}5WIF$tvuP>p)g&iZ^|8*GVw9n{vw?F=jSz`cS z=`=`gT)fq+D8_U`m!JOu<|OcJ|928FbNn|FFcL6wu(14}n8-xH#K^$(f8~F`@qZ=+ zOiYaIZ2zADvf0a2C2MArRbe|y8ydv@zluW6A;{X%JqpFW4eh^l+M(8U(VX+Fw@FUl z-lWv+bncYdTrXKilaN?(xe&RDk+}(#o%xl>n8@5XY8p(z}-3mW$UHB2**}d&$6Y7!RI>w|5gwJXco2> zSC*e661%sz;u-FgJGr~|r9aeHxsav2^i}^XU>sT5KjN6sf+PLj#;B-90Bqs>nxu-F zf|`e}f~10^CgS}m{q?V<<&eWWAXz}7S%UdI9H+l*pdbBA|5Q4gw_YY)Yk7O&wZC0P zVQq8qIRB$l{xn+~^D77!7pHITLdt#^3){~!uQ7gau;w4=B;>?2By?rPk|baBT-u!M z9d7Q{XE{4Lf6c#0auTX3*nJZda0bT)AdEdxDl=;$BXi>?y%yqc{7;dlLxqLHd7YDW!q@VB`Zje9v>Fs66eh3Cvfb>pGZH8~j zmo%l{ei{FLcc^aOo11Guv#{0J(p>@Or8nsAvZ8`$%6`aWo6DPzJLEskAoD|jbby$g zUD4lNihF<2v_{q@V22;rKJ~}B3V$2^6Mb2!m)!y~x7O8L0Ayum4=_*eGIvIW-@l87 zze&DBdF5DRNK12bcAj39xq+xvfaSpN~g9!x#b8^g;t z^a%hM=e9T5ySf0cvvRut%-jgyc`-ijM(@@${`-B1XaK>O_qybN;0%4hZnOFRfH(kP zTW_S_`2CZh2K8TWjKl#0yZ1ewHL^3msOc#e_!Q^-k3Gyo2KG=un;GBKfY<>83(F(R zulf*I+(0g0Ywx_NNucA;dzC(O7spm_b@kZ*VDQTGd;R{8mG5T)A65Dof1=O)a+`gl zRB{B|)XK2=6JKT1eHr7JT!8_0T>tKj%)Q3;@c(?u-tZyEe^<)>PHAau&Q2xACMV$X zjZck$85)?K0MgSnG`jzW*52=g@9M<7)ra}V{N->0Dk`!n7{3?0a~S3GO`UulBI7i6 zO(;Ce5JP{D`JbAoLZtZ%9b*ZG9dx1h{uR@YH;He zr;qH*)g^~JOJ=G#6>347WMDA}tXbMbQMy~@qmyj+W>wu^C)xQkM&QpwV;Sb(n@f>yE+i!fyazYzM9$-U87j=~ z1$%vxtxv!XNU7mfaFbvF^5B!j%SJm>BLNy_b9k-#O;4_(4Tw`WcZDHrQ2{&CE1+dy z!^4T<45kNpxL_G&>WQF4KBq%MxgYr-Izk>13voPCD0iBhVqqtU(wsHyzJd@mQw76- z5?p?_Q?L};5~+RQoqHuixtRB(js@Gcv2kqfr@xQ8DxnkS%h6hHw3u^Yq~>)T zo~CEzL;@IaZ*OrD`8G?{%HH#n7iO%A{dPM{=y2y<@?o-QD|_pozWEBa)NL_>zg?6Z zBl=>y+8Xg7RvbPh^FIp#E-&whYD>%W$FtoKXxB0nvqDbYsy-fRsgDeSIUkR&!lOjV z(#9AU>_*RWQx^Q#SRmrHQQD(=OGxZ69*&V=^Y;(a83`XqPa`=F!kDKz*rf&;KG-Dq z$IgS(woZJYW=hH0t~4k(NPV3h=cGl+OBuv>-sFRM{SDe;huJy3?6`^|?ar&LmX~WsjEBtSB14+p)Jp75v3r3!}?{CKGe*F}v-hJeq zp!JONT_vBpu1H~ns}vMbKp0&qFIQEC#g0m3us=zkop?G;c91>^Myy>RdG^p0dZr+U z*#bQo(^&^HhOFU&B8UR|M|?_;?XhYtO)BtgI*GB}D}TQ7;$Y`*w-t^v*Y#NPUc!t? zzl%Y#mb9sF{dNg+>-bjZYIbSM2?FfPFvDuab&R#+wvGa7lJ+{7Vaz$efI()?VBS!q z?m~tRCu$12nJ?UwX;d%pI;_j>Xt{m<`okCXReM7^Co10$w8a5+Ge%F^#AF|lSHnm4 z=Ym2F+pncA5H7Aj6ns;Y8-A6+OEXJDkDo4(h#DXTJe0vTtmx<3neOt{UHMqB_?{$Q zTkJEyp2;DhQ*_X1_&GV!F3_d(8$ixAdGdUul%5gmSpK=qc3(GQsx$cHEBzsJ#(SVr zDbb`wjui;+xb$lH;KP~x`R*v|HCx)BI;SqCp8*$4q{r%NLEn$591;dCdXh6d8Z21& zDoabsWSEPaTO4LOSx~#{I-BG%5`nwiO3HtnxPeVm@F$9hCQv`WUB$L>Mf#&AJ~-C<03c@bZbuc z!Z@1jIcjC43ar)TNa`vO8yQh3z%vti^{O}3xz9ehksDyk{sZ-j%~D1l(l!l*iJM;T zhOPjnKr#^|A5qQU{a|zh6%DX~KeoHKO<*_Jw9xXhl-Tq~J09Nvew`|`Ox4bahA#f1 z>F#fYq}Pi3^6Vz)Y1*kQE2jd@u4g5#Jv|!fmuM@tv9%2<@K6e4&P(EQlw-8ntRVxj z!WcxdW=i16yB^^cIJwSMGo7E!=N=XL^QB?`u(B3#qGPacy;Rn%;h9@U5ldq-65pbb z>a9urD;NLEq;$%W%S>^BRl*zj0Lx-Z^IG=pNPOkNf#~d+T+o#&m;+~p6J<#qnr|6!88fz(sR}S;>9^L77yUBY22{19h?X@t(_jW_IzLFbybs|8^*iq_&(Q zIZBf{Fp`dH@7DN?gohh)NxzA0UI{;$DzY}jY>0Fr*D^) zO)~2XZ4qI@yb8HV3ntVh^zpq=v(ZmfJ@|X!1mHB~_qte^+OMbNiuZ1s4X`FZW^{`~ zVO$}VQJx)IOh-F)QPV$Q=aYG@I@{mk2u|O0(w_*@s!xxlfB3C6DO0@diBv4Q!(Y>D zeW4vKBwB)DudBpIJ=35hR7w`M%t+t4|F{n=VN!<2dnu6)$4QDrOa}EDwa#7}y>}w` zrp`i(XgpQqyZ~AN@96!b?j_Ma6&gI4e=(M`TH`*i2{gu<>^+ASttu5 zfygP8m&6WK=VGYC(u2Gf;J#Hc$%g@Z=p%T6$5QN$=WQnaa9AyaV?{M_U8=r5aZR~$ zYrQGIu3HSH(hjt!^@~ww69lwnR(@L)PWw0`_MC05=byYR*GEJl6Ih7NQmPd{I z_`0!3z)+gxQp<`W6{Zj0dx70(N55SaW!lCJ#;Upred0tK)QK1D&5C~b#efz`3A|fO zqzHs%BZkH8Rm0|7ebI)bsq4PKIoOA;GH|vEm6b6m=y7+Zu2A7Qkk~d^n|0TJ_TBp z7qhn$?ZAjfux?X9#kcG0F#GfZtiE!~MfaTnT+21SRSiC_doM*si^dQ@$C$2GeW#9U zOoIv3#elRIw#%>rIVbE-K^0k1iv8g{(VbA+hq*y;tphe&_V7xje^ga+CHZt7*XGi< z|I zF0;gzxhF9f-Zd^tABx7|_||d^<#eg_jk7E>jL^1kIoRfsZH2z>YHG~jdRns?W?+Jp z?-UtaoDW`zq%i4R2!tJj?1n-L6iLt1m@*5bZ1Uobvu6jgvs=Tq2%-GyN8_*1>)an~ ziZ?KR-6awr_A&^=qP|KmdD3#2@b#K=U+t)n{F_rQrGB{;HPRtdt2)9vU8KygK(_&m-&q%QE9x9F=x7bvFeoh|8XM_{?|PSn4z}A{{GpHn%@x-vozy4`$-Aj=M$^!lON!>KhvxIqRF_=b za<@Noq-Ona3pefu-xbb)r3`e06Yk@qz36_y0F3~3`b7Mgk!gnOAZk1<+csjOjeES6 zJz|v*#;EH7%Wp<#ACLsgo?UJiO>E22=q&??11>40qEhi~eK*onu--CnnJRnA@G$m9 zqg=m?Q4HA{Np-)!ir}#R6c0qJUUh-~q3ZH32yG`09Wbsz9Ryd)vh&D|zVZV^-9$(& z1^CAUGaB?4SjJJ+>6xL6x}Xd{N-j4^RPV7bnH}jOQzl$^lje^8@1LfHVX|ab_}bq( z8$^D7)B7=wN9YE>s;Lyc46NoY) zI&1@U0gN(f0tJhn>Wi+@T|9g^$CHjy)ap@5ji|e~E+p-*A#>FzHKk9~SW#G@+*Y%5 z{3@nHo55#MW(F)#r>c4vwn@YnWR z{*St*)I%U?5=PTcY#V~5dfb|{)}pBOd`1fzXp^hev#f6zQMRe={`Uk)zokub05T_5 zaH$w&>WxcmP8wKg?2dt6e zMhXnu;(zXl!-@{Z7&k;2Wn>Sw%jaRld3wX(<93F*-HN2Wryfw6UEE(GI}yX>Ox;pX z7P_+d#9#aB#RovT-|p1WMV8DQ|H2fi46+o>Ho*NW65JpXwGL6}5feP|QnYvC`hCzB z^9XY=yWBZ@J2s!Ol2aO*Z>|*=DQp*gL0{+{G9*i&U9O~#C^vDUJdsbG!Oc>4Kv5f` z_RVAL{z(*(!D(pGZM*9FV}E4^%lQYLljw{;@d6I?QjMbjsN-)kBoRYk^?r+2w6zti z9w1>&>dFnUPl}3nuWnrk1}@evzQZ2_gNeOapi}>6zr6ngb&0%~LZ+==qS9ypSCF@S zNg#tqTy=z%3{@zyAXS|C3NIc8E^M5F4M!-_5?w3UhElx<+cFW6#XtqyozT0SzApVk z?}=pOn1+e2?i^9>$_nZ%Yd@MVNMzEV|_0j;+2?s*79(s<_n*u{@P|g@0B&;q>&oxInWB z`}OL`eOn^SP0gR!yP(>WVHzo=PTGdnyJ}`uh4HdJ93N^;+J(hJ#Oyvj&=;| zxDb7tf-XDqV-u+DSN2}d2P_Wi5y+;CZNPCnALFg{nNN8Pv}mJfkPAgCw6F=lV2>wS ziNWQ}GlChP)DV6d@@H|y_qsHhMeB{C-jzJWUB?Tf4zn!sXpA>g%OtX5;xdkmGfw~s zlm+LXtevU|8R`>>^#Rkz>)gEwC%LX&6>&=DZ%uacL!k;+cw$j~gWefT-~_E*co_&R zZQgyYxL1WjbU!irwcdr`o}u3j{Ur(#@n|_&+5oXD{{8TShjn(Jid94AU9?y!sIghX z#^%83f7b=AqjcWo@oEdBA>&+5uOb3~YHFt=J22(StLUB{G*W%Ox;epm&ja9c5 zgzQDoskog@?cJM>GGTKwhq0*kXb19w$dO~_L+fsfIvIJGyl2uPU86C@Z9 zu@1M;#%M>sJk=9FNF6LwKXfRkg~XwIou90v`y}`7xt6b7)DJY=BRs|Wc`EeEpir-bMEPE<0(q&=lC?T{5YaikPk>KRgGu%=oSes}AW>M{5qG;+3)$j^iap2hKCQ&8AjmXB9~fL40gb6lqn+zcyncB;1% z8&;Y5+eoUE-L7k5{euO#u|Y)#FuSlJ9f|Al!wN~y+~Jk&@zf;C+Py7^mB$0!n25uC zmA+rj^Ya4kuyOWJC8;h$-nBY`1-{f@=V|O5WD9xU8S>%Iq%6Y0y>ypvrea)d?v_EU5i3?wK3>50V|oXK*f5w>(Fdn zUx`qoiz^8M2*u;XZ&K0xaFd>6=)pACK8z$#$MZ{KfPoQ*e;*b@6dGPI{L;9BLunoKszL2@Pg+S2PXbPmra+}T)kdlEK&>-Z*Hxdj9B_z-ItjHmAz zxJchf)m6GNf!ZnilL@oO&+fi25Yg`_uY1q$HsVdS+y*JW_{hjrK=j8p=3~LO$U>Z> z-^=JjvLeYIwde3@-ZdhKxJCsbj22_YZP#;o3#DbX>(_%H|4v$@=Xfq9WS#TxO^qFFw~xN>KYyDhxGKOk(k6BH|2VJ#7u|^qe^-d?1%iTM^mwTpUzI- zbzH3@&8a~JOGI{<*Hy4tp%1HXpyXZUcXxr{O5IE`utRE_xzz4E@nmxS$c%9%OV)YG zNgHN%e`IYb*G>roCOo!QG(5Y0PMVo!S2;-;9y0+UAQ{R(va9En-(G^p@j_Qdn)_C> z4F}9F%E;WYCRdt$)zogh^IYhv=uf1GAYH_4m z+rR=KkMG5r!hFJHR%X$+1B9!w3wVXtz-}NRGbm6jUDxtt2=eN0V2!kvUf<1=S+HiG zBqG3t`}M|uUg+TMxhOwZXpU>o*Csml(B1h>A7g@V;qr2QlKMc4P1!_&@AH*X2c;}> zStFm`d7KAOS#@~OiAbzqcPR*;P8YT;Uu&Q?q$|gqP?(Xzhk~VIon;CqN7V3J%q8j4dX{r6(yqT_oU{e~_~cXLM+Gq?K82#}XeIqX4Ep8PLi zHIm^sAu84e7Fc$R(qdOH&^mWURokko$L?K-BB>#L=C4o4ZbkK}Y+4V+Kgy-5r9sy% zd8Y!fSAU#Dft^WZd(lkL-QI*V>Smiu$j@NVv8hVlB*eD#p&CClK_^&AA(reH<34BP z*uGh%-^GyDG@-2h{Y#)?N=J`uNP(=vYd+EjVA0aS^xnp$CYs?8*xK*yLZn)`sa@mH ze*G_OLP&mo%YTIib6BzIw)|)V&b}ige?B>^NX9>(2EEL zK|-c{*j7rl5vlZKek3Tc=ml1{?`A|W#e{UDWfu6*nhbj03? zumNK!zHR94E6lcW+eutNpTT=0CLZB$ScOofofOJzv=+C*L{fF@AF$CQteC@zo3PW zBmWRRZrCJE@AIjriXS-p(**eZVW~`a0K$_VfALKFPnD3dIEZuX1RaUn8XZ1X^}SF* z{U_WgK%g~@HbvAyr_xblMx^sj4sKWu15wZ>yK&5_`VND)EI5i@KVM&A_2lBa`jk&X z=oHx{CbyrS);hkL31H9jze}8cPsX^=b+Ch=`BvZKvblX9hB0(za|5=`#Rtae-Zer0 z3y(^$<)_;sl=0*z^Ye@WyC$(yR8E1*bg+?w%l!=s{($YA@pC!SMBSbaADDNZaz-A-Q~<$OtP@|!JK}XM?(E+e ziGE_Hz~fZ~CW)FmAl!>uLjj*EfZiuYa6DZ97PDP?or^G-CEsc+=Rv(e?TL`5VdFCy z2oqG+=)dT;4zHlPxn#W(IRa(k3xE5`^#ibHmrCIES_$tP|B%z-czaeiOvCD+m9luoc8yJy;Q70Y` zP0d+`)t}*rM8z`LnPwKIQ8FHApVmiF$hvk0yc8LW#)S0i8OY(RXM23c47{9t7iP9h z3?B~z3Mq!y;?ISGB#=z$kk!vCHZox`&*0`~RZTq?hlK%(l5uqwY+3EB`)%RILlbqZ z6_oR_g;BsttOsHQQU1H3cQExZP4z47@m0GzMY(&}j!+EV;;=8|CUeLsj1{>FOAF#* z%^G$wrzSx~lPN2BMDtlRyC;cvY(^}a(h7uvRko=X&vt|v15a#LL|}c)h9A<|_|xh7 z$Ij$b??=AwY6E5BQAHn_2am%w;Kxo152WnuD9%!-0@RW?9um(a)-?LB8!2S=8U8Y| z_uDGarPqdoe?PA z@6=pBWQ1K2CjLWFmRIAxieLKegc$NESX@OH7!ZpXLaTxp{fPty^&421jLB11d2F+Z zwfJja*vdb7#EdP}O9{A%<_Qvyn+Zbb^q7n~&YV+fkw(hbAE_-oc8TWbpCBv4Y-eS=aIvtaS}kdp2N_YgTRQob$5fkIP*|o-{ITbH zI+;E!ybP-|7N)I({JvGz`J|wwiH(8J&pGnjPu>nzt&~I*$Pd~YJ~J_}jP*_Intp%s zB6))jsh;j2($53#N(1S<3yyHa*z7rUwchuub`HY!U4t;w8KghafH$eZhzoE);^i0N zus*uj@HG@zJr7r%=t^g-SePRwr%4(UMGGcGq$8()YlXQX2Bl;(SU+>9XHM#~9{EJXM%xu!c>RL&MW=_ zjI;L5Ch^bJt6ER{8CdKeH~_0@#ePmS^L}OgMb^kOEV$(K>4r+k+B?;j!~Oap^SlvQ z&B?dsDjPEWi{2HBh}?^JgE?r|GQOlUVxNzh;uB07+vrC^Wn zJB^z8)?}gb&2kXNc1Wp?{&GNX)?PG5+rMC?`{J!%^^6>;#nHGI^b)Wn_i23b|<4W`vuzQjcj$@5H>ko|R=T!s` z(q(S0eDn)vbt(^QX*b}Y=#zA^AIKo(=a&%d;0Y3GFLmEf+d_gDt^ntrzVvitJ$Ca1 zbxRW>=ImAznpdanaUjFT3w?&JwhMf)6D3z8UeiM*j0~=-y4msa&}zD{P6~%oK#53f z1$jQD21$YpW5q?kIqg@*^cjbCLv%TdnT5p;_t0%{QXZp?I;}&cf4uwi`z=mDGtuQY zA*GoPOAh>qwxD=P9?`d*gIJaM2FO?U!C+T3xZ)PnE*zr9f_QcPD`ohb&lF~U`FS=VXBdqu8cm?T@VuNwg72CEjh((`2l)<%#Ib16?6u$G{PQh{C&^bkdZsoe=5Y4 z^sgn?%89F3nIkXb?sm5&`n0g7s!HlUq&*&@P!6+Xxr3^|o-G7UPR(v3{K~jR;%V$r z=L?=mQ<;EER5MJUXi-?4rgl0~?b+61{T^)fCx-oz!UxZ2{ee%A$l+QRrdKL5l;-Rv zAO$l`3zi~4@$QjyVQ-isTR~cwcF6sTmYjDg9QY3!ddGIL&6=a|G3b#)N;dnFxa|Ba zerKA$A5sx;@=Tit5O*c$>FX_ME=_q1x3OQ_A;Uzz&}2lCunOo{rn%GP(C_298PvS8 zKOHK})Z|FxgbP{YWAqo}c$PB8Y#F=i(3(pLml2f>%B_1lk3wKl;hvP@P!CuO6PbYp z7`r@Uf)HFBXtToa39$#v@j5~oq69+iUEe_UR$`W_Lv=J5L}tq*?HM$E%@tnw4h=Y_ z?9f#*Cr#FMmn}!O1CnW2M999i&`yKthfuM>m7Q)-IY=9OKSdM|2Cqz_gByHU-90c< zelhK5B*6>E5hj#xQwo0{(Whf`%5v&$*nK9IW%upXP8OxQrST}a>UFlu_sVB9kytxG z@yfJtNFj~!-U7|>f5&*+H;6UvmddGPt{UpOh3SL0A;eQe9@>hA{^jMqYAGy<>q0@-iz@bXx@45S=AJZZe# zPq)4FQfBW`VB$|BtpN7geW5N1M;v;IZyCAH+E7*D<6eb{wfgoECD`=|Y_IEU{2-ZN zj@FmF)zEOpzFPkW>{^b-FOs?tX+;$>!hu%h7pj~sLK6?#N@01+oO2%)#E`lICy1YQv%))sX9w& zClfHN{>V`l*!OtWz{@t8JY6GD(HSK{r`kcs!`k>GbK1_A>LWfpFaB?ML!Sw#BAmAA zBMGmw9vO0h;@=j*^SF+L^=xx6s*UUc3L04d#*9Z)H8bX3I#-yOz_ekqh$Ey+$X;20 zNI8RGJvVFa1$SD~kA}3=%&QA+9H7$5Z#=~C8XqHh(^sQ~`^77wLuK%i49QzC$rR|!>m>wQw1`T;+Qp;_)LDn5*(^I2b zig3|XkIWe6MmneUTKPR}I_jL3{6$%@jDGnQz-_}x58+~>0+xtWzM#DJ3fB}?}XNumRM7= zF7HlkM)hKU_Lc^@3_Z1&ydure0aOlWEB~(=*ek zqmWstztypx)^gvespW`w$^^P2Q#K5Rre|22aCb{4z?1!|X8jFMmk8Mt4b_A$AkC}_ z`~>$#a_w&coyP^s>+8s{X;^EhHwe6~1%!>zJ9HUGLK`3k!e7eHD7m{3>0G!e6kA9Q z-@59N^YB#tk-)%+m|{-0Q{@Vpl%*u7w91<#6yXiyUS;uMpQhlGMmnqRDE5@AuRT6{ zL7({Cy_hQzVOy&UBA|Tq`sG0LaJT|KIFgGi#f%o)!Jyfg6T$QSHtfjxqmKF?@3pS%x5@4;p7dTU9hZI#s25GqN+v;&sA zAD-X!$fYKU0rkZBWafnP&B#MEUYk#08c5vP!pc~s&T-S~Gi*{ifw0JCw%+qXuc!Qm z9LUY8Do<;NB~8vEvmr(reJrt~?~QB+qqnEgG#&d%)V30mV)`@UNz7Ozr<>@@WNAIPeDS$zvcVgg5+|{wT7?a%v3KW-8lV)Vov_% z!KV9wcUh?_!2@=q0%cjim|h19hvaEG{W0W1*wKtF=lwXgAwDNa-PBvMNeF^v%42#m zlUO!653{H^CBLcH=w^JS?XH^_)-XzCR@P9Cw!xj=L7DB9Gf6hNY> zyqsC+N!w@esIXn3fz)VH3YG zHO~A{EGD@|2E?9%oPbif5Z%b;8W&BT#s(e;JJ25QR%2C{M)fb4!)kd&mRFmV)p7SE}h6^Y=D@`TI4z%A-~ZsNL=1H~y9`bo~( zN9B*^Qrx^?3SI6ZhhF(Enb|G*ct-~dOBq2uj+Qg}I^yn301)T^PPk5+IdZ&(lAf>n zFod|6);KQo=+^)I6qZiblJ+3K3!M*dc*YeNdEvo3E3);aae~6L>};LTdnn0oT3_Br zCDP&ygSoHj5@oo#bhvol@@(V#B`Y&Jq%P<`*bk(k(Rzue0lR}?ckjg44PkBgex~(8 zG`trIp>|N{9==m+$P4x7tPvmnqb2n^hdL7KGG~`oYrvxVp))nK*^lm$v&K7TGIrU8 zpMYdqC~YvkP>iFXc#sjaQ@a#XoZsj~cntj-xR=+=z z(dWWM^9whN7>$%|K)EvS$ZH$+%j!1VPKd6(jxzukb5FGgQ$WF5QkgN{+G6d@4AkGi z7M?9Vt+3J^C{n=>c&Dt9DZLFXQN zdF+k(SMffjRYi3t;cR>P?UwVd`8lW~a@8;@IiZSqk!m&V%5SXPVtP%V(JaNv?if8w z5w#4bxUu1D6iV(S4|uY@N8jsCx`Q#2XfWS>c8?qfqU2f1tlPNn{wx$*!hplJJ+eX_ z-aH_8G=j!rIX4kaxcyJci1}@3f=bVqVd?c}F%1s4Ud4O=0C@bs1kNq-)@W6*S{V6U z?Q)?ViiB^K*B}%>QD^tE@$o|fMzO%3mn56=-WvJ?gzvBa<_%+w`7WB$czPXuEl{?U zL#a)g`goorsskDpXzX2rK`y_v8oAD$L(A_Hs2k5qv@)_;LYS9?v*M-WnzjPX>WxaI zl})Q&PMeBMD}tf=lFJMgb)egs&^ir?4qvr`wjIN){B+7aG9DdlutSSF*lEqN6%saf zq5XGf6OAt3w(qY%Zb3lV;zdNVf9dWkA7yLbAw?^YFG%1oZtRqWnu}Ca20+kq_bC%f zRNPA31(4Y0nkc+bX#1w{@1d+6_1{4xF0pH#=A1a@k!Kvovq!g6Vxv6b@gfue^)pz6 zs%IKebUqbGdr}>t-L2?g_@||)NOe&#PwSgpug2osppnj4*kf4o$=pq^^Jb;^O6WOM zk{$z_v1G7IZ}>NaZt*ibCLO{Wqw#(BbsKe;w{rlaNkm5L{%~fk=3#ZmmjgG>bRh18 z8hI-Cq$__iC&%NE=nkJAdxR=9GL=@#VEh#Txsq@pyscVzT{8qwWqvfmy_pWDDs~)p zD1+?6<*it**8yyj6O6|dKotVZVRxBFVc0X_Z|^R8I_hk}Z}r%xv(tE@HEvJr%~4dE zZ5F|(r+<{*MNNPtNbgNc!x(CN1mIOR_OD4rHt--#K|(~Wv9;tLUn!(y4bjwq2pA31 zpk)X%kIcMK?BB?zrtV^l*cIjmc#`@JAupM7YmHJi%d=VS8bHsuPHc$^`FKe6f_V1C zTD+FeR6E48&dXYwD6YO5XW08gP^00i$`wkC7>@KZ<`_n;!k=izCUpu3W6W;N$iYy| z`)G~<;pJ;wR`84(#=7+gkx7s3x=S7vP>O^HcQMwoIcB3cTFfU6>Ih-annDVz4n2u^ zedPYkky*w;v65dz>!z#L)1(cB&eALEm%Yj>T<4469c4rprf33sG@3gry575_KlZ6D z>0o^=U3ra!_|<`OJ7RBOUy>~V78nA?yo}hjb9XTrqpKZc=2B(^=hkF2OgK7R!*61i zVlO}HXjs9iiAaj=Zy2U>Y^T9h%wxyu2jTC)U|yTNyiygjoDyf1CNcd)m`$EO+%T9C zkvHY^nsgGY*AJMHj4<$HwT!}pLiqf<{2)&#>(B2tj1-+iSNho8cfO>=Hm7lEXuW&j zf$f5_DLKk(0@pE{zh%xT69Y}u?ho*C(b*ObP-z5;c+(t*e4?&j?kr}&53R0x`d-x- zwP1{mt|Pr1?RwI462<0(eM#4PDAom|)^vIf#<$j$2`YRCJ6_2>HN+ojfo+gFR)_;D zh+$G0@;`QS{wa|a?~FiZ;uKa4(lmP4aeQPe%FrE?24WigU62|1R0=usOSTNe8A^t$ zys?$y&;~|*MEZY6l8LVthT){nWP#D2La>%s& z@{+@@xyIgazrHI0rnp`tG3o0T^D^h!hz_P8aUPXL_MgjCbNC~YLCeTtLo>Rk>Z+)| z8RzUWl^Y>K5@vb*3gc0D$kagik?3{_8|fZEff%DJ=}P3ald#4~)EtM;;k2p>GXcni zDO@)eNDyzmA03`Nr`(U5+w;a!;k)W^prR$;;OTHL@bT}WIQ}@Q5Y;Dh0C3 z^Wq}MuK(P0S6E!HiXj?c?sRCr=aH`Mlv^YYbqW~tCQ)viV+3&k&stZKv}e%-BN4YR zj^C**;HIV8$QFk*q&&k77@&7wLptvekG5!gFQxO4POaJ+%TRnXSm$+s=*qJ_03G>& z1|kG-3i>SUx|4A9U)&uMF41Mj6b}(Q70Z58?rl3wG7ktOJ`p3A>uf;14`RZwi6z88 zkSrD__gV?GfG%`(d$NPPVl(}}4`Wsktm=(m?zEz^j;BNh5dH^a_t2#Y7iwSPv?{Fzimi#|Yp zo_kd3jHa0!@eol95CJ0IE}XF(M_l;-pu&iDavb~A?0){Z?K%N8JNN*%6CAZK#;r;c zugi|qu8V#LlAx+}Z}gQ|o=%wGAJZ!QrRtkG%0H$B6-%^2vr!k87QX5bXo8F+PH90F#X|)smMts!GACIzl0q6?MREbna_Lm7A|N14&Oty}cKGjIfr=J!=0H z6X{@MxOpmr$2_xSXR*zWey%l2ni3=!El%07rE$)T0ACv0MBCMH-DqzEhqA57TUhi} za(6S)%ks2;$z1T2G~DT=Sw?B0$$Ukkz8_O+%Yn&1CA9lWRb)uBKPPAlZhaDF3dBAO zSjer@`k&-Qtb-cbIn`+Cac92&B-K%(JBEnJeDNyz%l+^?pq&Y&^5~%%+0c>(Pcr?b zJgd3%cX>zX?C7t_{qr}G@hPQ&2FikShiOL4cP4k!D3`>H0(||s(aS+y#+0d|q_yhV zUKeLP7cF%?JWE1Bp99*ZT6=a5th4Yyb+O=enYP5R0NJVN#hntvZoJ7XL=Yq?NG>9m z^p)SSqA~#{V0Yw^lw>ope#JC z%f1ap5FPkoYOc&4HED2wp3BV@-KOT4fFT{nL_XgzYPn6{f* z*4frrnV@UoaAH?6odGMm#{*{s1-_7Sz8Vc}rxkX^THBgz1#(Cg7)IlPn^G&M&(7{J z7G(4IV0t4{mMksf>IN#oJb+zFrZms3N%EDpqcgnR77y6|>ULT6K@k_W+K?2x$027IwlWTFV8?WTAte z*=oOEGxzA_`^Tu9=&Fjn#u63-)%R#8d_5{oJWg~TQ25dYDlFXreJ+WhAnzh^*Alb6 zxjaZL(#-g>l1#F3?i`oPVV)XOjAJ>C1_>+&xLQ@)?dBbkY!7@ths38ST zNQqMyN(`ZU6QfD`jFy~xnUl&8g=EW7ys!k-YYo9kPOQk0d9Q{*1W4SW>BoCvxBHq& zBwhL2S$m+TzwOsNf3H+(lPT2uHo#eF*Nbu~75xu-W+jfH1g~`D7uT%AXDSXz##N|h ztHzV#-?X^>FE%iUi;h*jvUQ|26hQ?>N)2tMfcNLz&txNFsh7$~s=7>&^g!AkT+o%{P_`>Q$LMMX4LWzF>WkkG47YWit+sd%k{cXv9;k zo50v;-SkD;7e#ZiAiRn5=xAirUw!F{}2MeyFfgpKodIJr7V_jO@m^Ff_c z(HOsDcu|aFNF$@yl6M7*eVnZ9REP!5@L@K>nqmwvGaV7T>=2Sl;*9=@XTe0du(v%= zQnGANqcDLpBt%J1xuRQ@|6xPgm>Bo4^!OMHqCGz@X-GdS={|6*w#?iG1&Nq?rslsi_q>!-2e?+jk zJl~2ATH=kp?Fvk_>#ke{ZSC8OLk@K~<$eA8_ZUk`c zlO=w=JTX>xIglc-*aC%19Vd06F@>z0?mKB&Fj(VUFDhJ*^kU4z~4Cx29KSZSRl)w6PQQq`~z zw2EcAoTZMXTZ9fD7s})32|`Q_X6LA`-1m$Y!vUqyxvRMi0vgqDJB>yx6-+53a3Ha zly`NC2~hE_n%rSRQ^(4|{f5xFI#R-s(a4W;1HG4QJ-UAZ&EpLqXzLr<$#*8W4b}3kOQ2ZBx@GL zy@<`79l|wiEh}_#UVDdl_DZk|Ha1D>FgclFV$)16r)eqyHlIKNTN>j#I1a@{st0L9 zB-0-hz0`s5EwAi3t7yPMn~ic+0a(%#t_eo}#1U&xVOqhn^C;Z0zC`v*nU$dl)rmx9 zZrZ-rcT4$oHOKF!Wl`wPGtlz|9HUZE6-FDj51><{R4kD)=)L zhGM*Jzt=g9UkJw^?rX>-UgUg}6}=RFL>NdovHIY7){=ciibFcA#f=1DoXe%1^Z-3S z_7vXpX6Z*z-vdFWW4$u{lK@nn$gQP49AXp}@NLg}Fu-=N!GD+IpL>9jn;)#&)ZS0* zR!$bhhD`Wem0C(YY{naO?58n6$j9L*;$Lav+8;tC*%cWm!qnpOFh@TkVO)LU9i)iI zvS;s7z10Swq?iXB`kV+8kK@>Si0;^irN6|YtBe-p_)E{}Py6pzWuUj|p&-Z@H+egv zspWtAQ{WHC?MMGz!#u{IALW#cl&A0p7x>4SB&1ib3x0`1Nt_O2JBMrJd;PfS4UIml z5kP&~eB~;1chz)1Oe-cBX7gR{=~IC4*Kg>UKu<<0p*lo&c`(!J5og1wcH4u>_!piuszU-tm5qB4Q zEBtHT&5k{dC`CoHyGu+xeSX|)tDqcCSX z3>XEkbV8%Tr?JbeLIBlQJ&gigG^$fBSh6l5E+UGu(FQ!D3(Aa+AP@eFRO^4_=|SrIi!X7i~AmuP&Zw+zl#!Z zq{KgfL@#Y8bw{MEo)ZW_NbJ|BXsNfP*1g9j{NAAxae3E!1sY%vkIvyI8{IN{f_%@g ztoEu2vfBn!ow3D}-X1FPqv0`cJ3)7qp08g+$&&OaR)`H*UF;nG*em7ozZTI?Q$63? zzYt!Hv*U^+2n;bOrbOZ1YIC*b5xl#TH}6s25NU^VDsJuInzfpcm|wk!JO%^y@d6LY zCa|hKA&|UZ2UjYBg+Sb#+%H;?S;-s;kcJG>koR#*emW8r^_!YQQE{}+AovWdTTlt* zp8Dzj?iNy^p7Ni5p{^!?jHOk+1t?fExB>}xqR@BzE8L%@z_!RIEUt4Yp}EaZ`_<*i;BEB zA9t3 z!WH`8srIE>f_qt#s0bJp^&gxzR*KtUue;||)Q58M=-#WEIeWl%@YUrAS4J%$b7IGz zr{difjUa7ygZwI_{MWgXXs5U0Pboprd z=Lc!kWgh}4z-%rT$ZMyR2yYFMn#A*466JKZUQMA%>&^m&5`=g-HALraAlkx$vcIMo zd#9Rkc9O2TWi-Xl?J<^6+^qxNDI%G(%UX|eMYf;e$z$p`9$^0z$PQI!*R;UgH@P7i%OVf(nv3`EJg zvlNGmb0+#K>sf@(k$e#&$Y;wdMV{(8=;j^l(n_m-u`tzKX?hs7D%om=Ifl3&=S;H_ zcG+d%s3kbn;zjXTT{XElHOQ@UYmT8n-opKRHvG$NP7gsa2T~==zc_ug;x9RhaFcDI zLZauX5tT5ZgYgD2nFdMn>i0ViLC&Ldfl5o0$AGjk1Dne}-U#R!4GePqo*d;1u0TuY zmkx7o3!YzWEw{MUDMlI#x}C*q$!hZ}@q&ssOeoXa*3U&3KVFps#tvqnMtop5P3S z(0>DRt7^YzSSM7aBFip@*z?TS|B?>A)aA~z#C+IyR}TY9WQidmxq|+kp51MLSpQcy zowFAfV~hlNpal)sG`t#9a^!t4tf5wlS~1Z=dzmS03ZW7cLoAur{iN8Yv4lbcO!qgn zkNW3U%_mjn4$iG@?=smc@M2r^Blq{v{xn&}XYV z#uHlPNqF%Kp>O=)xGBtxz4N)U!>yN3f&DP>b?85?I38m?X(M`t=xr4NRRZYyLTUJ+ zky^Ahj3y2ZK2cv$_U$;fW%hbzE%YPVWM(Hk-S!w99bC1=pQi}gB#h2f3PDkyyhvSi zymfpqZy?^`pjI2@W|avnR0tKUDu@$aOfwZZ4~(bB+>#sRRH6zwrD$|(cB#yZpNe!q zGGmk|r#nqfLSPs&-Mk0gvXZ4LAu%$afj-fw|2a{|L%Ex->p;Qh4SM^zHb2C`(IG0` zDJ>6~AN<2XmT?=oli@I7%sS?UE0Mk&jprw$JH+W}iONCYN&vpW>wGib-xwEvHtDR?sO$@EzaPeMea8#mY2;3QVzINBVRQo zbK)fXLt3i@HhHchJQV8AMu+FU`Bm`nK(WsuNIjqSlKjRxOZPpI@tex{G7ZTApY+G= ztc$4F;QVdbL=-(IVBUY1d5twq8I%^7MroOmHl#4mU7@t(eJ} zLYct>O)3mtS|LM9W#w&Zg)_GaRi>J|$uj@Z@ZXno!G6eyDu)sPw_y@TCz$Yj)sKuh zwK3NI?QoA>h{P4SQ@#?@UH~2GUI>943D!HC#WLECSTsH zw{$a5`|<;0t%!(s2^9K6vil{to~H2dkGs{?uR^#xs=SV#9)18JwHr|j(=d->hGEam z3!$@10~f0~9rysB9xQ!brGxYL6xj_x;GMtOW8r|jnH)BH#ARmq$`LGLVjODa{y@@P zdZUxpZd-0jgj#LH6g3H(lbdw8hj5#k(f{1#z|Aug9#$}K!m!}js}K*>>21JsX#pA~ zTvekK;88m@9XLA>v1F#K&daf(R}PvKEjD9a+_Fw;ws1MusIhMBfyg=ir1}Nw$909-G{&_gv1vh69y1 z_v6kn5E;busEst4ig{OPn~$)R`S7iV!B~1*Gc?`MlZQ1N3Go?YZ=6Nzb%*z+97|SDGbZx@I%kE*eGe&FJ1gJ7cEw^<+f|3)g+sXfd6e zG6S0Lg5?qZUn+WE{KVT_dl*L1#hSu&8oy47Q}$i%r*BZCjn`@>L?{koJ`FULP^r-4 zs5Vo7gK*w%=>oyed-LaX<1@$0<(7kvFiP+P5>P_D-MO?5RCy%$2ItyCt3%)}KK*na z%RaaLrC;UZlHBnCwhsx6ysc6d-z2Y9va2>uBMSGqZO-D-A+n~tO8)&|G$XCHXETW$ zZ|fpPz^aO>h#v+=4DLH6KaE#o{x*fRzKax^0lMT+#(W6lX@_OBXB9V*#6`s!0lGdB zNXJ>LkeM|w*+)~mf$SK6V(kvMG$8qd0wJGY>J(}SoyI-WeXoxt3$apljiWe$U%;;5 z{H_}E_C7u*vm7|-K-$VQ7ycVaVlmsrlNP`1-TCviHUj(KiKw4RY!NnU;d}wD|D*@! z4msy(vw}W`=pm5Anez*yU-9F7eVdfw-Dj{@n+J5o(%0Zkj^A^o$(I2YV*{7PI#s^H zxR@nMv>EXVmsmDFKlFlMS^xA&EFRq|Rabml42tI zOQE*JdsZb-P{D6IpG$dAxyN@p_OS#reGY*MGZ-lrYg1s#D$?3jbU>FH_jN0CX}b7( zOZox>k?9U%zmp+XK)S-K{Nj(pIkDG2NirKBInd(z0I@$+pGb>=HpgEd*$MCF=*0=7 ztn(n-jZd*O-E4#2`df_aX-DAYVM9c^)$x^L_^T$|qO{rA8;aynAA}}0a9LtFpw;Pr zV@cOg2L;3M&6mJaj~?Kv;Rf*Oc#s3(z&4h}UpFN2M!ld+cvMgcq%3hz^xS5SE(18r_=AoGFEqjvdQS2vWSDau)TQDo_2rO|E7c{?lH4K%pDn8#U} z@}-8?HE4*M;(Jdwp&eLXlj?*iV+gz4hB8kdD&50@vP9bqo6CoB?t1R=#?Evgyo5-_ zyo6%pM)=U*z6pM$yQc7-!x2Y}Qcg{NfToRR!x3#VaBVCfr|#;5tTo#7_s_$MWUh`! z`j6_^1IXIg#M-5S>?ZsZTIFh|SU0vu5OJ zSB>pBGI6a=+BXG~(tZRSmI8#f_sp)*_;SIg{{C$x-WL2}nqgEq@1>mtj-wAey0qzE zFe!Y^hQ9fjWt_-QqEb;Vp!MmBu~?Yvy8Pu;Qte;IqpLBy{sMw%$M0Q`jYf{mLHat8 z6xPnTKE`ETADjk8rg!+EZ&u&pCInt;r={3uMNeTR2_xsD%SCr`pb9?wUEfiMgZsx`w zGo}GUv;mY|bdU-;h(C)7Sz#7b+g=ELiJqM?h==#L%pc|?URfT`p}{~nU+-VfR9kHl zCQI8OW_r_!6Ue@CNW$`p_ZU82liORun`I#1u-+f7zW6`Nxg8pXnQF01u7s`aD11mH zMQwhaB{4~;8GKDMlel~>X#sGYoDOysy9Zp%PpkT`9{GPMH|z}9mltKLeZVfm-7LKL z5JZ<(>e1k?s+Ef!aKFV zP^;ezN?T~YrOcY&a<3;G{7;TnGT?vH*X+h(k-ydI_-qEC+m=0F@-zy(Zprv$xUyyw zW1u(p0t~Wu?X3aKp8u_fhJnSz_OO|(Z2CbedVrwz8ij9Rv4WsFyi8$TqgA$kK#1#; zWTknb#Hx%d?X`Sq1ot_xAbik??1c=zrQR)NBO6^z4ee-R7onX}U0RQIx2e(Q;oJnv z4N5dawO5QM=7UH1vJyuXqW2cDV4=OC^+BX_hh5K4I5NMC8wyktpm+}RbN-c{AJ+&2 z&>KZ{UCv_V(>1c-I5NJpU4cXnJhy?x^13ZxGpcXMCHErRirgsHddE=efxEdII>CpD zgP!?gjZ!=Xyy6=opVP3%-udfrEKf8XqT%NR(aoz2S znTPPHPPzc~hI?>%51IFy6g@Ldp|7cK3h1PTCmSCL+-Fi32WG-@?piBu#^&Vuv}Y%U z5wI{gC0DC4%}S1c3Yc~1TQ}ltWr^k=ky)k)lM@PU?}vUBVPd(L~Y*Y3`!F4Y+rq*aP1pM&{zrvR>kw~C&e#|+DTbEWnN zHBLz2FT86PVnfEswv zmkhn5g;%GbxA{-%?ER576)j6hUwx=(nxq8WM~)LgVd0wbc9_mi%P*s?c3DMty(faI z9#8Py%4LL!ocZ}6wtNT;=fGWs1pE8lq|fa>vbU$2(>T=(%a@f@LeKF@ONsF^FXOtB zwvc~h%OhstuM8V$F+8Z*5m;ZGsTt3p@eD0(BCTe5UXg6dsW(j-;tr_1p!F@6xT{@9Gg`cd*#~CNn*Uf}QR}NPN96^&_g=Le3dndTT{F5%p}ruc}05Y9|9lubS_ZLf6pnv)}L4Q&5k7nkk-J(%!6E-o|s|LV8@xwuU1 zEL{Kl{l8pXW)5za|6dok)5Ud5?~@;I)4jxLajnIUH=Qf}zh_hZaKzG#YO$;R z_Vm;7`^R^+s=udAaCQ9@ZUtvTLAv5;;J=n}9@yAUNKSe{1SAn*WI#GE+ zSxwPL`hHuebSkC>s`{cjiiP>tB@WOO5NBRuZy4?}Bx_%9xo=ShZ@|@$Jy2e~tCQ27 zk*TYPhee&Eo4XMZw-yuE+RwDY^uh%89)fcNun!+Euw4KEab$Vt$|Q>+r4NAiW+MgU ztX?AIZLwz{g^~y0x)zXlkAE`qc*m@d6>j@dTYMqh2eKf#>)p`A;r-2~EiEF0tYd9y z@BrSx-OTg@>%i)4;{lEOY4P0(Fkkv5f&vTg;NkvW7X8U(C|tb_a--+rxTXs!R+C1R?_r66gj6{db7 zZW#%^y0{fb{fV7C=L&0J5EEyM8^nipI;da{Qdf5Lwm%RirAA)uD}d(*mzc=~ zWU5M5PeAOaUJ2=^hQZDO0mSil@T>nQx8_&JFQb?9{4^Hd8ls`~87vKW8W{^+h=I^J z@BP;z_FI7wT0=(%+=Q2C8i4o&D2%$UvgQBfy#a`@1pt(a-vMMg+%lS;K+{Q8y0Y}Y z%*%kaV!bFqF-BVlBiJv^_+GgSz%}V6V!t0Ak2)Y*3&_h{{^j@H*K&Sogy8H7Zg1~x z6Z|W!|M%`2>&w6vIEqFa2S&NU;75`H02#5F88}sSMGr)Gg$HCpNok@0R)Pp$SJw#I zl`dFh3-R=(Lk1)P;T<jIA0f zB2J_jz?WT+fBMiR8WicxaO7^MuStO@=5iq)-~7DbO|pE)_$5k|Xe_sDL0#*2jD4X` zj$;g(phxG0Il8q#ZXJJP(+Z6I75W?P-d{!qXCVSHlK+dF!EsOTNy2@ueXaHpcdOQ^ zaLZ;yl$>UO-=YNofFGLS#uK~SC8C5-RDC_kS7`riShuEB3f@ji*rdt#WJQBm;DcBU z7`4Fd#_?h_-0De33rh-W$8ipcBj(2OFWS=g64pr%va2?odaEV^V$8mxj z*foe<-uW-7kmMtVtNl^bRWY_J)DO)DzDO+hsS%0NYZtqHv3V=HszN*@Ms+s%MUuA) zx6zSVH{KLrl(L{nPhIs)gg?x^mhm*o;N;7tKAuBP)rnvFo1b*wDhBT$;Xu9LvY@d-+6mR`5Rp{I3ho#uiYEwEe+Qalv z7%&J)OC;L7(;@L-63EO?9rgPV-L$|<#euS^87A* zl&QJT_lUMwbkgp=xjZS(ap^t1rjtx|@N@~wl-Gv}P0xeDO=O+{mxU%4-%rW*MhZ?j z;&G@{X*3ivd#%)=UF*6fFTORLfd!s-xe&&jNjmELuxH?6l@jRcU2Z}ZSbl(ArS{}( z#^hztWO`h3$SIy`WHqps8jcNq47kg$a?EOtB=q@-$w|E`&O6(InMK$5N-==S+|hnI zMAt|OehLekK}XjBb$No886=TU^q^VNH2rlbF}}>C@DP#F^XzSvWsS#{dTy%(eRMm5 zh0E=Vnm%OS$!$UW7kw%21_@UhS*H+ZWFlXUGhH%a??|#VWU_5??ACZYY~i>StvC(4 z)$WskPoxy5YR{L(St8q%J((B#wsG zRdz_o79?yB&!>t!KEp&NNRNfMnyzMG=Yy0XYTqmR1u;lvmGf6$9FD(A&UxooP5gZ` zks_SRqV0AMm6M*d!AR3jHA2b-EEZg$gL?XA*=s)4AKGJvUV3IwT^tl|-j^wYGiQGpw z<3%}hu%op;g>%chuxbf6P6BLT=8EfKNO&>JutC}jV6az8m4?BS`V_>kw>C7@hp}dE z@wn}$GR3m{wN_&d#-kgduhrR>o*Y*Eo}t`1jHe5({vC?*G!+SnM{xTo%p{UCfoDvr z>a-(!9sezT@v$G1mk>kfz@D1Dxm29Pip(a`>He^{nfRoY-~3Jz1d$U8wkjg(I7YXs z^ic`~jn;4A$q%XzmSq#qd!L(iXL{-S*VDbaO}aj^Zv;l-?&?vAZk+>-!{M-a#Y)WPG%FBBY;HN z&qOfAK%-n_VDj6=e(o5)>g+wUtF|Ab=;N>gFL&6;TUx-sDoF9zMs7NXrpvCN^A89W z)ik|+;XmNAh8h-N*Hh?AAVWqt47rH12-AqATUyRYe#^K1B0zb(yt>lsp(+}x0@#1@ zt%qwXg^O)I8AZg(4pL7|Uka<{CKfK?&}i~*1|Y_Y*Ri2M&iJ|b{@Wo2?5DAQZpgfU z1?w9Nz_T+|AJ)_n0) zo0ty(*QV>7+z<3eZ}u5GQf$^^Qe3W%A&n$9H+9GIG9WJS925nU6MFKj!I{kjnT>w` z9l&tW?z}Qu;D@eB*)s-jl$5~HsF(Cg)~T74cTqZtO){@Kox!Bs!UpMDI}%u(S( z>W&+{fCsJ@!LN9y7LP(H2bp>H|2v(QsjUY0Tmq)N{7HSnOjK~#v7rI) zI!C)|IMi5gX~D&IYTD#a{2jLSU(r;K+^y3Xu5n0k_~wk-pGxU^`6zmh5bg%V_`Sb* z&zIxM3Q3x1tihJgZyBr7GF`H_UP~^$kpn|(v#7T1 zTn>7Y#%-;H9{xL+TlR^!>6emYrin=pRvR%G`jNnH=IXz#Qv6hXL53uq!dKOZ9PES? zq8XmP00=1=RN`s2Hk#d2qIEU#<%`Z{uNQKdCw8S{Dtb4#BnIZTObB)myr#pVipZcbwiL2C?>-=EuS&G|wowo{}IIP?th;#A%cZETZ zW3>*Jo1w#HB3kxtz`1!(pU%po{}meu)@4GDS>c3pEU6F<@MTqhs3_MZ{q<7BWH(G) zyK;Ak>G;8DlT{+340eM4h2puE`FXsLMkp}Vs4=UKI3fFcOi(j*awY5%5pnHj2-YUI z9}5!05GUAv)i7s|lps6upgz{rN`Pvx1+LL1*NwW914Fnh8rdxLi6Hr5^P59(bA;O`FMdcc& zp}cdHS6jZ4(C)k>2E0#QD!jG4LD5Pxgl=_8^Yup`(=mk6^0nmpkoZ9FFjH2Q{grDd zk3QUpeE}s{f|H%#Vmh<4cyWw7;k(W$-6ebruGQOrIEw!EeXa3G&bd`wo&F{;uQkCp z*jjB<#H>MO>*O4q%?A@x6$$g7Uk~*X^&13xZo8^m# zeFE=bCp-R_kkCn8xGL!tenTd?h#K7R%P1YB#XCvmzE_FZay~ycED6^3^(hOW*x--N zb5QRir0s5}LCF%nG|{{!Zkxd2p*aJdfg}GXZ%BKHl6;jDd;Un9!w;)u?0x;pu*L}w zppNRa*a>v_K8Wi=@fsZw;bc3+)In+f7s*I`;G=G0x7pVb5d(j`AOjC-;peS5a8;)c z-#kA==L5|MT}KZr(X$t#q}LNPTY_5k}3^|n6s#%?BC=+&V5v!0>RI{J>H9N z)`B%{JG&o=obf6bn@Bi@c_cZ`%-2{my4_N00(0?&FxcdM8$9zfWUd9*Jzx)CmDULr zub5Q*a}*OJ8QFnmMaa$a6qs-f>m8Ov-rsc9deR%C*b?^~f*k5!g$|X>-co?R4XpWr z*IVrd*az|7QO(|l(zpCTIbLlkkl53Z zh?8M3wdY*`I#d1iJW|f^0H6DRgW->0CQN1LrnLMY62A}Qyz6YycK5jnYGQlX&bWmT z@WsR_m^Ov`JR()bh88EGQ%)}1rNlJ_`IA!7i587p&c~u_DX_Kzf4Ja`!^;vP^*wQ< zVyT17F{Nb=jmo!@Yl#q69UDGy{B7?ztWb_(4X1RbjhimR-TkQ?OtEgFOKpMwN?FRd z74^G6f5^7T?Gdg>#{yUu4b_yt!8^3q5qZq)+K!95_E(o22-!ns;4yYzmmKSO2!3gn z@Vd(;%Y9xlL~>Dg9dhjJzB0Ut2`0oZ9)id|-i$C8z!w+ZreOInA5<%~{D7!OBE@fS zrn6zZ)DciXOB*k_UDT4bo$(;e7&Sph3scY?*I9lC&2E#0Ij^YaEk)=i{y07*$A?v8 zT#-?2MP_JuBZ~r6RoPeqJxqy2rjtaRCcZIREpscOERqCipG4S$7`Lqv1p30?@opX6 zg|J?gZ0L6U3*A{Y&b^rrr0)~$h)C66Og*WKD9ab@6{V?@m&LStF&LSG~|4z%ZgNh12Z+jlyc~U!as)_z(m-jMC6wU43T;cBMeVE ztF|-A3#yfBk)w4|+~4cjQ0m^RQg>gf^*szNTIZ-oS(} zF;8o%J(G$_!iYYwkj#ud8Lx+Nf#dzV04b;y^%TT@tRwyicG^FaunJD&1*jOti3%)k zB(TkCY|ra|R`UtzJ5-Z(v8FqUC;26x!7lGMNXQs#SOHk6)}RJ?8_i~vjvlj)t*edk&=TZ{Vj$qr^BIt-)pbSDXHEQ@YDOs z9gh;>sqg?J&{<9HQ`qVBXpP%z%fQAZwY{14QYW=X9iR_hxrt-`NCD6hn%$>JiDf3} zCDMR_!2ueH2ed&h^-N&YsH|c?7%92km?7-Q`2176@s4(Y!r2zs(3P zN|F^sQkif2Bcf^1!a@@wK>|Nx?0ya!(#@l(8h z@5k(Z>U5lBTJQ914slO_6~r|b{Zvl+m+0FOO4b=L{3#3HZN0CV$<5ifXaBf?YHo9U z^So&e*9Db&KJ~AK%H+Ex+>C-1$_q;SmBxpZ&m1K6iOf|bBi!aE0<{aXdlVL8zOUq5 zuTiJGN%dto+%EGXC|Baq7(XprxP;V+IaA=q0d;4MAK3J#vQw*FQRHu?nH>3 zDw;SLnyh<9h}=R(l~tm>r8qCP-_jP0%j=SgCC@M-Yu>_ob%|^JY#_6Un2t8K@)N{d2~q-Id`NCXpwpsQpxH=%@W} zhGcwKOKOs9GpD|tj_8>ZIE?x&8?S7&AjC8ii^>ztC;FGfC0dWK3O>w&n2iChPL+%3 zW-0a9NoIC(k28%PniW-LKnR^!F3zP?c}##gi($qJEu{)K){7Vr$U})XXZ~D;v&hKO!Bs+FZLGVWJo&znBdf1N^z@=fHUY2BQg>up3alU8& zju?pOufg%VK)s!AQNZFVsH;4jgYn`T4D0v6#Km28VAJ$E3pLq3m)By4PY-Vbda0d% z6)5u{-!jrok9234TYwwz}eU$ z#r-QTFGdoWcajNSVgBEx6Qn{jF!_?>3Qv={(7ZL1Rz5#htd>SCy;SLKt&uc7P6i<} zl+I+%eniea89rhT?~_gQaK@wcz3!^)7LqDFjD*^LXJ7g$;`>YTSO1@N>TGPX$RyTV z*V{%e?vsiEQnZV=WMAb|KH(gUlEI@99IlpA3(RDp^BYbGIT+7}tQs+F-AmV7ZasJml<4}= z=MYo<-TU<~chi+FNn{B{AY457+~bl0;LbpO`J(PXn9kR+;k!XK`F!H+BYPLo*8Bb| zGj44;=P1LxBK~h7Gb_WQov#qkpp6frr60V&HfdSI9n`TKZ|G9~v}m1ip`mc^2OC0I zPJWr!fV(Y+2K8~*;46;`y#{?!%RyqUs*0!uXey}$^Z1EJ-7L38zP#;jC~bji7$4d^ z<~CR$Rjkbgf(z)oEKim133XSQv-ypeU%^@L3nov>V&2g1GSQ^C?*!icxLS%m844I%@m zUU7r%SV;)`pt=sf)%Ug&U7xjs$`}Vk)$sMpqWkQcwF+7C{srCnv-sU4ht7JxZ1=_M zrEo%petn7o4=4yJbTqFWfZ@+uZB-WMhw-0mOJ{84r(e8r1wg9+Dl^IG|Ja-6JsM1b zRR8gQRp4mH+ard_jBx{zps?s0dy5=4l`xl1$`!Bm00Yx!uS9zda>Koso`yNf5^6nS zS`nyazk1PbC$a8Td_ZO~t~9mLDz!@ui#jJ41w?NZ2H?-bJ!WZoCwOIo4U4dQKFFu( z7oKja7m@Rkur5mV!qL!I_ont=hy?eKo#|W>etMRRA=^nMVI4MWdc)Ft-w0Dq`g1(Z zXI`1FD?VI__5!@DjxIZH>J>ImHLZ38b^$9Cut3~2?(bc) z?2M&c>EX+KoR>kdeN6*YyM)$LlU>!l;?d)sQJJEsEpA>lQk9qccwFtilACxrxzQUN z=A0{wH9y7vdx18Xd9as*e=N*x?wW&YUP=8N9(Yv*KNe-l7ez109q*5bOhqcTa2HyQ!SYcG`J88kGMb3sTP&T~def z-)Ddz=phW3-*pn;p@=t8tkoMp<|!>zAr^{>>&Ps+{p*>9X8QPG@DM)L8FJWU)%F4J zpY_gbyw#Q>w2>rkeG9p%-Qrkt92ynruhY(z2S1FAUDqU`+T3)b-wtGpAi{=j4q*k6 z&Hq;GHC`(EW($$(V$O!yKQgi(Fwz`LK`+*R6ejv{u&=B%@2Y2VW-+6#^~!z>t{Ja# zxx3}qp>+4`K%wj{x-k@4(_vl04^HF^;X9nPTADDj1bJ!DUlc2pWR`lati*;uKb)q= z^#&nV{;ASKNjlyBfqP6#x|HaeM^A;ZU_NT`8M$}Hk&)_#aY#8duIR|1Y{t|Fs8J=9 z_*rkxOA46^;WL((Xa^wV?*@6jeXFkw&$uuq)8T!Vz${hP6Y=2BDm-FmM;J9``95q~*A_|b>RHNw&= z;CGf*T0ivv`!Yu$BYk!=O&b5F(T{UGHD06=TGli}BGRg$pDiqLufkC!eH|NV^?4iZOyZdp9!2b5 z45ck6^V3};;#xV6?giFEcS6!3VYPshun3yZarI(OmLqx4XY8=JP#$B7L3G zbPE06DmU~6vabn(Oi@`H-WqU1{E^Dd*>qX@XMFCl=QO$pt0rG&9f;uE) z_%F)`mwn2oJx_@_ba~A)D$?byrOTq|>L>q)p5Q}cH*hBAhk>sLASYQ=*X?!;Ys)On zDwQwD@CW;|fL1)c$yLK1bwk6=N_ zc*-73ye=2G3Zjgs5=CZx7*fk6@umd&EMnJUK}U|Bp}$l{G`}2*#;!jRSEV(QyXiCw zOb^XZWS7`ts3bVjFbXhH&LhK;R8F#@I;Sq7XX(_-s9)|Ua$!QycD~Gs9{0l@cHyi1 zjyfRY{SFR+L8-0T6|U~kxMsJYLuh+Tk=nouXX8nfySzfQ3uQTa=FpBL^Kp^QQbv*V zuWNO^xz*V^F*42ykUTQGXKjCw-aHAvEgAe6oj87GT<4b55khKb0A%2zU4- z{!ZMzn1DH)P^j|#%JcjY(1uqM{59D5BQ2VZ#psQDD^pQU-kQ2hau3r|-Cyx!YICTO zm-}jw0OUspF*BIKa!H{ubN0>M!7kz5bf;_)Yu_E?%birvkr(1d6pfPIZjo&Sl+bnT zpwq1xjzq9REW(ls%zDA$Le*Go$W+2Tc8c@|AH9bLS(gm3bV(4@qg%C%5TtxJRUGnv z7`uli;kqSCz-8OEZQHhO+qP}nwq5m>ZQHil-{eO0pa(rU5qbW>&dBwwMX#nTEAdga z4{w5hY_2ZyOj4;;)N-1-QI%crSdWxR_M?>}E^sHns8f{6bACT|4`sTmz50sxpgwC% z7Ye-*iZQ(JfIv!HVD9Kze>*uW$$_~T!S*d^AV4A_=_0*+UV7ns$GARt9`(^TSgajd zrQlkM?Qft+y`{od3=UybMQSsEJW>g1_OO>%-s&ksBII-mkq43T*F@xD+@lo*50 zqn~{_WUPQ9OLYV8NYs5kF7amuTc#n^zqh=>&4@TOH2e0T@~!Sfg9CRujHT|r;=v({ zhZF6()2|RJwLBLr()c&=r-5%FN!@Io9`l>WwzSn1R8-Jozj!EEilGgfSF4kJXDGo1 z+Q!y8I!tAB6-)9p zbUYgqcl4y>Hgb^t3ci)rGk#>CGN%(*YN6JT>r)&!KSwr6vV>_u)BY96qmgkdWeXKrt zuN!hvG%)k2pZr9a}(=ZwkR)YMq{K|)D&7wMotjL}OuB8YVBi>$@V=xEKF|R#; zNUkn32*&fb12eRA7RQ@4emS0Z+6Q&aN~F$V(Q*Mb8)0mwQ|6J?eR2#gS147EM8KeV z*yl^or$>7n(4AAAe`(ybR)3sqe8)7wE4gggfPSz5X}^&d)Gty5?s>oC5T|Nfm#Oe3zU zk{XkI#R_UF9YwfYNWksmKY%dAr{lcaBw^;WGpeZNk(UH3ofpgq#zk>FsGP*{z9{hJ+*Kp_8@os?TKGSsHKm z2mEc;jCcbaa9-AUp|=Ax>QL171-Y{o)-6}7B+*`_38)72|G+zUgO!%w^P8@MF&_4B zu42fq<+*!5h8rba6y#z|s-N3$u}1u>{;UkJiEtCf-|n%(j=?TeSqV*(2GOYgh226d=Qj_!o##t5IcDwA2jX!X_t z;rICsn-G01;7dAcgl(K%^{hY$G+m0(>ch&#i$)X1G$X1>pS>{5$#4=fFBSp|!mr#@q$)i(D5CP`Wmd z5hJ}0?3+S#@faPu~KT^B~UhOa8N+sX@ZKDL{T75BXL9+##?hFb8cRk>s~)=|77;(EW% zAf}2PM<}OW@@!P;xa*0tD{j-26ySB@UI@&vvlz!xdFjfBv`?{DfMuFR)-(pb@jj%L zM&!7Zon)z>)tkR1kT<~?)^%E+9$rH~N$?t^@6=q|gw^H2znplErF&kH=jVt!v6vLC z@!~a*1=7m~ zWt%Js5}V^bkgp5*NO?`083|Xyp0v;mvGlHSlU)_j>#yvv0@?=#fzB0KPRS6E0DK&4g|6R< zPuujCn;5~io>22<44>s{M)}OVm6{5-Q{1;vLRK-&+Q6iW$zN?MJ!a2CDJTQ^5ji^> z&OG$6+JEJ#^MO9qnv?4m-b{#upbSg?dkV|qTE_G2hG)%^xvEDNf82R?PaE{HXh=Sq z`d7mEFh18_r0OHM;7)TTX*Je(3^&i`A`Xhdr+5aZ#pg*6b*+&lAWEhPGI3!|l~j)M z#8?u5Ib9FZY4TyqGP$uJ3ll4j?Cm;iRK#;8X0nBqWmZ_Sf?;k`$;CG8&UHirhG7*G z4MV_A+ICUsIB_uJJLOSTeVTS#vS4eRtUEV{k~0?va7v--kjvZ?z$ zi5oc>WAC}`tyOUC(q#A;RUH$;uJ|j|&!3q^=$gP#l3($2qNnpP?kI+GsD-OqObekL zqxq>JCe0Xn*tT19UFEcCeZE3Gmii$&Q_u@|W>go4meZrp`z+C=O(enIvCJ3Yd~EiQ zM^WYV3mxyEka*zlcQc@N>_1CX zGp9Le#ti_V4-~S)-62G#)?^q>aX#=gdN#rKMmiB zvAp#P1f4Jwu~KiE+qp%qNGRs67>Yk31Jzy17&7YRn0Ti=6kC50SQk?Z=F@7LrD+BY z6v_UP0TWJoul9J#u97N|fkqX9TrI(OD)C_Q3lDZR%eVDWY!x*iVfFZV<9tL$1ZI)5 zWMi2U_~Xpg;8tJ?`DC(Kj+!?_Y5iP*f~~hZ@9W6d>Ov=k%DXUIK)D!FWXW}GZ64Uy zii(~ium1DGp7s1nt892iR;W9i7$wij<|UFlWSlDEY5WI|99Hc`uI4v&@pEsiOxO)o zZZ;Fv6gH)3%B7@wH|`SJsKtRL0G?bp-#EqD+jiS z5p49^;Kr0Y{EnzcrgWR*t2mjGd*wCw_I-pidQhh2OkCxQoiYQFCh^QtcLkRaaXL{7 zv%U~}`^Rcy79zY%oPCP-HpR`6q1{bU1T)@>XqwV-g<6RYPETf zB(o(d?@^LQH6YMtYwMj6Hq3c8gW{0kYJc(3TBhC4|8tI{H{ii5Pc2gC&cbRVfetm{ zgju?j^^<`2#twIBL7*&8R=Iz(sH1l^)_d$R|cQr&ihCd%hVml1*EQv7ZB+(${#P1hD%KnsE^mir55 zcv1{l9LisOrFyCQkx3YH|9QMi&VfxTRyQ-ib4Vq~;wmz+XL*Z!(~xJH0wtKFUsSqwWHMW)_{mbv{(P!2n|^LXas?SLK) znf<6VL#SQH4xgo3Hz$n4V9e>_G(XQZ#bj^eL+1K2#QSssFq)tR>ED$!752jA6*r={ z0AG>ok2YLWA)=_~7QF?O)n&1y;f3bVB#Lx^wTj@_E65EdJx%ST4Q>DRGZK&JShj-P z4b;P>iH?#tau2{)DC+|H{&ol(gx^vtuQ0bSa3|=_N(S<$} zW0!JZHoW)bm95tssdbv9Dj`8guLgqjn=dwkAEG^-`Rm*kR};+Ut?g2kwL^~o%8`=X z(8{$vKOfE8LS_*#b{bIqz^!vgvlftOM-1;ETYBGGNp4D{P4@Fa2{L+vXDb z6Ve{Q?2mY!tJ9N+;~{d-IP0!9Gj%;2kl5=i^RJ>XrQ`l4iq59}cEA{sOYN6>!YxH@ zr6mIFb;yVmY{|maXTCj2ty}frbl(UZ|LhB1-)H=liI1aQ?i` zAIS|S1VQ4Wahz4M9#oLN?_t!<=PZxkoSsgASp$MAf2XWI!Se4ml@M!~^_GG4EteWy zhj*M8d@l|I*Vn#tigh0c`S(P;4Df0``~0EIU!d_h-Mww5Molf;Vt*(D5;{^R%E|_d zk;IK+p`%Ngldk#w@!RXUTW-8F6WH#i>^sAhgwW8QykUq?lXc*UuB#n4`;uHj#4-!| zE@~?lTm+9DCkt$6zTtk9faou_GfawHzK9#kQ!>2s0<0aa-#083I;E5w?>n<(li@xE zTGB+4OG2QUQ41l5c|@{ArEWlMZ|?5$9$>P3v0g`jQC}xSgQ*MCuYYp7-%@>LkjW7@ zl8A8B59Z}~J{Ox8-2tc&N@|us>x0*tfk+^Q(^@k*vN~Xb?$yo?*y(eu^~u}$VtHy& zlK7&TIme62M><4BC$kEeq9N=`peSKF>Cc~fcBaqM zdnXn&=qlLZs9VdpfL@&9>K-(#_^#OK@@jt|pTlaMQdJLxyOXW%5QoCWjKxH^ZR4Rm zHtjO-nDodYj``4as2WA7GMoBv+)B=k{n%NI5!P)+NMB}e~!LbOmPwCHmK zt!}sb(T)~m_U8*6$c0QwHwqd%h zA<2yP8{utV0o)e!8m}v76VxsgX^Q{c_*7+)V(IAd6nU2yz;F+UPT0HVzz+xP@BgE>fOQ1u^@YG_$@AVytYUUNK;^+zaTNZ6MHe2? zEi}#ZMPhhiaWpEjO*y2J=*Xsol}sbGJ9euuM5%Tp#K@>i4;2k5b_8vr)mJk$-RFZb zp3bNuOu=KwgrHkJwIB6{3j_}c!?IQuf6sQqBw42O5_0DS?FS9^5-GiJ4TbT@C!^oa z%4=xnJyi!Y)S7zv0!C}Jn`R&m?86TqTeozX;`k87tQ_e)|#O}$p7bQzB>Ce4pT0JQ< zGkY0|T-e*RVH76aKP@v1!&ro1tT^qU9sRdsTg|LV+prNzW=zI{Ab~j@1TK;TfCQrr zlPzo4))G_sMbB$|7Fr+wuN%!adT*=twRam@dxJm;`FxA>37ZiZVt5mb*H-cP+tR=e z&S;=W$R3`>9l-2yKh+s$uFuhz>fEL zG6(l|lV1pDp%vkYls#z(8gpljRXg3&?H~##Ugdt9@}X}b&K|C+Q;~-yV?Q-Z{CP## zG1}FFYoFoZj5B-)Gb0}J6%+F~Fja3ldPQ?HwJzE_Umf4)Uskewsr~|>3jQb(+i^3U zMxS4v6C(l7Z>NT4ZNp z4QL`{s#DdD?Kotq4in9a>7^6kZkb;S$(8H!<8Q{8GEIKB$SWydib4jsA2&kuE;FGG z#vZ|#@D%H=W?c*JQo*O}MOJ>$7!mH3kyXgVIe0(QVPdT;()yjHu*bGA;a8stT{4c- z(22t!Vx{Swm(GtS%|%T0poa<&5!=(;nmgeHw84^6n4e%_B#ssOuor~hc{w&@bAUiX zPA$fP!w8_Dl=7}Ly7xNAPv}KV)WiD+U?51$_djjZ6FMglaNWgh7_?VRR@jfY+sq|d z8ogw~TyOdZ_&TlsRyF>sf7GGKL?qVB;C9^lnbS9v?VkrZBLf#?#CX8mM7o7La#0O` zB8F4!M5AyFv;rlB&i=RZ zZ_B6E815Kt(mLIQ<099^DIV=7hh52-Dtk$urZ{?K7M5|Hnb9c0D zvt22)MI1eGY*@0vV!o!$uX=yXe4KrgOR6pBA9Nf_iZ7%8m^<=e?4a!y!>p*^BhXf4 z50Hfj_$W2CN<+qyrC{)j<)!K6geJ(EgE!Vl;b!Fod9JVE2}GvJJ}X=~BC?|^1LGg4 z#}Aoz$T$V85SKVvsP$$)(E_dkgh37#6+&dhFK-tJDEri<_9I>$Kp1Dr~uZ$jdbfHIj`u5AGM&5no0d;Yn!Md*v>;6-eZkJsd z>*cgyIbMO!om+CP%1rF6JRpu)&o7U!As{feqir|YK=W08?e`_{qZ zj<>u7>TZ_DcBWpysv4Ea`k766R)sz=)f|L`!!Xv<$hrq)anThM0un2pmJlB^7bfF4 zF4CoQhIG+5Gw_eY7un(vz7=X%i0%Ys9>ON!=$1Zf^Gt?xs9<)o0YYz?}c^gR|J55nLBt?vY%Ncoq|h2U)fVE zU;Aa%uVM6?oWvTcosb+M^(b1S?0UeReC!R?)03L!$giNOX07=3%~#MRvR>UMeisJh zh5LA1Fbda?-*Ch$`_j_plf0vNED-5wK`Bnvt zi?Q*e0bNaRL1mG_L4WTQ<|?TBdsdy5EUG7c?%^BE;zVwrCQ#K$qx5$8!d^F z!IgSYKUKM?=ox5?QYCw?wOpnJSPz#A+p!C;4?~`FvM3&eKRSG<71Svs)5^i)%r1i= z;F|k4>Ww?YOd=ih-KHF23C$rixNp00>Qqo_o?+SQJ+km3BY6p}N*!HAQjRR{M9%%Q zO#G{fRx62@FNvU0Ce2-frZJs*_ph6)6sZ-}59g-LloZ2Z6~fQ;9z&GZz+bFOw7%OK zP{iiLP!xaT3#tkADV1QpwtftkL&tpzBua0G_9y-8JZw$(R$g~ zJmA>ETsZw{@ZakT#;c-oJVGVukkcDqyrU5X{!96Kc;Ds|jBK&VJHs77IGtk~%}4AQ zaNlR74(02i$$8%_tc9c{RPmM~GRfB@rVSi)9q09Js7R%Ui*WCGS&OXwz}lDE!K<7Fa0%owN>U0JY)#Xf*xGOz1y= zkdA{;x=r10^;F-ok9aIt$TyZ21?}>>29MX|JM6NWFes$YKpG-=39GFw>=nq0*XgkD46$WBBezU zjd7+Ub)J$X17Ia$6nr1ElUD2j=W=aZ}h*VjN*GKx%Y?n+H2D4T7FDcDVuHvM8d zS=;qQ7e9R>-2y$>noe$TW`|j7Pn+hIuU-|-O#XT=(oNRO!sQT(OI_XxiLbUI@}|5m zFx;>6X#Zu-rwDiFN}B}oa>tq{;4LV5o$}$j+JxiNY#7ZSqA`W-?wrE9J;mE8QiEhD zm>xYWQN`~~rNGZg^!S5>T|}SpoP-`%3rJl2n|+IpO+v_9=k^y6RoeJq5c8P&aO%Ou zGHuiu4oVBc%lBobWdT3CkoLF!Aw`yHhSF1bRBAM4=>BWMO7YSj0O=KRx;T$0gX~)V z{N`Nox~`Q3nfHP$lQR*f!MJCZ_t<_Pde3U;w}#)(JlciI#y%n5&MytA5o?W!XAcj= zYp%<6m+AD~sAhQqgT5C(0eWtO$$gYn%15kkVdg2w4?Lc_z_@Mp;!mWSF#y?`jim1u z(jcSYzwn&J+7|q$r~(0lsr_H67=n#`E|Q)Ru6A6gBs1ab;A6^o?mAUZ)v+DWGG8)( zmfAMn=?V?(sxQ|j=X+pW#Dg?yQcxh+o%W=yG`30rG8^>Yy+ZqUJVyf~JkA4NTuWiw z&=t8LuyCkr#B5d$e$0IesOh9+g%aGbnB)p?p_+qKc!XPTQp})ECtdJO4_!{Z(b7cN zk`Zd$QX$}F8wV+86BOd4bhNKO+{h9bT*HJVV5GjA{Yf6rY6MX< z0r^!`NT087=Xo9l&?_|IAAcXHoXPQ&#wPau0y*(Kyw*WQBO%_?C}=Pyh)N8v=S~N% z=jF!jP*pd~P!FqPz)bb*mx+YTP;tkieCJ|4GTOTzROyrJ)b_to-U(e=_ZK=cDvhVu zdWh@zb7k5-F1B%qVXI2UhA+Kx#G5QFIep)U3<6yPIAH1pb+KN1y=SpNBM$~U?q+Cw z13zj{L7TNgvzprUiPF%&iJW|TQ_J~(!KS>w6eL~Ov9X^A@;CHl>ruU(lyi%=rAD~m zYq?H&J&N|WtRjT;ethi}{C8l03qf|{uo91J@uHjDb&n#ma*DpfS*X(;lJulV!ZvlH za48B1cL}K8g5gCsBUVACGBUlHzpu5hy}h6w*!5F}QDIowJ6Q7)bRJ{#R9mn8QtzOK zP|O*Hy9L4cS=e!WeDvTis;t*HB`yZYvVlz2E$jvlW4X8+N%ysrB%;J#GBqa8=H6Th zF;epDZB(i2m39^I9biaLu|flJcqI`z7Z2gB0EpuLWC@8k!v({+*Tv^qm=r7 z@4FtJD=U@XyZU3m_#2Bq**W7VbE-In}q`L7;pCW3#h@c#jfhkk>?i$giF z_t_4;pQ4j?C}~72k}^%7N7}j>2QwcIgBZmBmmx2RlhMy?N?YslqrMlU@9xZJfrB<{ zOI+6V5t0yi>hhJkmCQA)NL$$%N&w#TDFm(a-np&Rn{fZ46JmA#mlRev+G{|m#2Lbh zSC%iLMJ17A2;6cNxSpw7VBJ-O&EcGx_5KIyfE<7AG4XrLUoS1yg9tvnO(Ex_z3X+% zxBLa@w(E*6+N=t$6-bbOxKHJmA%*`2cB~}0#0l!q1o9|dzS{mV@eRgypauf@6Uk%y zG)EBQQ{DtmCGZ)zVGue;8`?N)j}!u}gj-CS=Ef7n<;js)d75X9QK^+n?u>Ee#9>L- zemci&I8=jf92U8+q{Qp0QILPsTWybe+E<&NobhPCU;*=waqMR4xMhOD?=e|Ke;FJC z5X^yD2}u#KR=82F-VmY`lKa~7-35(ei&QGD`(K4ZNr(l}v*W9VqPn&}4J3N&Qw5KJ zDz+yy^+w0@+2Cl4G>2e5Yc6=|Hq<*#a3`b>oXMD%VtwS>^Z^Kst3W%P*8vNk_F!0n zu%(q~kS3ZZ3M?a>d=Nt?va#~(UM2^U5{1bA{yvN0fb(U{C0}f3x$#36bJ)IO_u$x9 zv`!x{rLLaKjE1=$sYm6E9nSTL|K;qcs4V&2^@lWernf#4AvhwD6Q<~{v07KUHRPGS zs&$g*cVfz6h?#2<3fqUV%2c|rFV@I9qx_t0Y$vYnE>)<(M8k;Qg3%_aXK0OnHj`ZyCsy`DP@SBFTYX!Bkgir$41O)AMBvp zU>HvAm)*vcqJ3tk0l(o@WfgRHIy?KU}}(=j9IXX`~3Z-i)zfUd~FY>wX@-1J|rZ=M^9NN%UN&NhsD?ehIK(0Em}dyi*8tY&pOaCZ{|O+Rm&+ z1>OYx9Jnb(H!DqeOi`FU-8nEKfOAtFdse7QR^^5xE+a;*vsF>!*bFn9LJbFTL4P?h z2jbhy)x54({3$-W$#|P-t!T=Gi9(I1%EXOkPZuX%2foCkVer7z|xM?qo<1U+hRYZ<5%Tge- zloKr|cVcXwMf5;T6}9hq@!8N2Rot*Smarp;nC9M4!SzD;u!KEq{6>7;nX@ z=35d;WncA|yb+7Ulv z!(9`+h+kk>*{Olcn-Hnh(rYh0_9{-(oj@L+N_+{LgT<8;JzusBlfyep_9W(}pXem0x_wqa(PtIH&P&61M z?eQygI?8la&m%Tbht=tpz_#ziee)Ex6ycpHX|}boi&oBt?r*-8_HZ7$@3$XeqDU?` zUlY-?;^nH@6(k}{h2U(UkmQe3N?2~!`v(rLRxMXZ9>VXQ<&(IM$4^Wh0Xy<2=~^R= z_XzfzV6iUPESm2s*S_t=J!W`VfL)+wvwBQKo#TLWE#K?bnwfyR+GT|#k8Ycm|1;ux zGfYo4nVP3HmYS45+%GOykdqR#G#Zu>#bxPz_q7OqR;XU^%n$V}V5_p1Z-bNsf1P5a z3;)_0))OrV2fIHY(Igi%wKl<7XP6c-aPjDfvWo*TA9x$@@u@Qbs4|Q1TN0UKcu_SL zA#G*>#P1#|o%9U-x3t)FEAx^#m(0E1sMy@JwCfe4U#j+d2f6nFzk>|2CeHqexp|wz{!GSt=>* zX3@EZNcp`|B7i?XxXoLkBRz6GL=;EPVu=Y69oAER^1~76BAHG1)%v;G6MeIjrm1W2 zG=>Cp*G-(}2I$pcaKLzzby24nc1U!mJi=VhO_FZNVfk} zFl5Ec^5G49y;kZ?*2mGu&T`PC4p`_1J{M!SbR;o`NWm~4C?3*eZ%!pZw zwsRb=z26)G8(#tbYW#*Q2yyYXBd!P(+_1C^F%LXJ*~xdRAMEaNnFuD&FjO`M@h z!k0%u3T+`-8*$E&>w9wmyGU)<`8)cQIeq*x5@#7RiIA>Y>dWPUQ>7zl89>vwtTp8H zLsUDpKYfG?qH$sJ%*E8|-nA9CX36odOQ6W4ossRMo`n+_^R-lXWqIvq=UExLQNhPe zTaOGqU#@ATzHfvdxLWb2yJO0$N<8a!@sYU|`)Q-75}(NGb+8EXwyTE<5fcp?CLL&N z4>8=2XV=h%Qps6HS!XOo^l2MIy`#Z28+*o?F-~$ir7%7R9s)w|zu=*rR;@K>?F3BOHQLT259RicxsqZjUS{*+tLlyi^ zst3#eC1MPYBq4rO6<|W^ao0j92TkR9BKWJqD*i6r?}HWg(o|Bqj8$N&XuKf+0U(kd z$CN|3KzEk-Vs(%?7ef1kjAdB~*Xk|?J0vTs55kSS+smxx-1@$WkJ<#6P`2fz2Z=l6aSR8BXid@cuSPKa}{gg5y` z1*j~qwXr7Il%|~0%v3{v!V^%4WewVY5j#kCAF>gv3dHDHqk3A$e@i)JiAi z@pqy@B#wS$J~VOMKvc_*Iw=HPoI}z%i`cxaIhr(>v6Vv%al`kYLFLmY zpraLP-4Yj)>O^1)yTrm4n06&&zE!z2kEw<#Q3l-&*7f_BTXy)Q{E`E>0;rz_}Qy0DTVnnajIZUoJHisn^4<{OI@+?MVc{V=1}hBTc;!_N7x<6_cn5cMDwT9)|j9u z&{mR$0K~8FdYNSZBpi$ z<05(K2RsE;)tGkit&fs^k}?i$N^qK=n&Go0>n|2Mie*0I5A<>)ZxP3KUv&K*enu7F1H}a(GbbaHg9HW!FID>@*Kf%huK@f^hldVlu{a zFcvkz-1X8#O?KayzEY7~T35!25KIDr>3Neuj6&p`10&H=J7N6_DOb`L{>8d;0fQ%y z=jDgKAhfYRhnoG=G8iE%-Ks(KRtCjLMo z3&wggm^YUK`k!Pr@P1@n?!v3yG-{1ivtIRB#t=Mg79T%eweB?meI}5WuMGnbZJ9I zhA`P>XLwpHmaenly5l4?jy2LjhTH>~GpF#(9 zb=nK}gU@c^?ZnqYx|0;WsIf4b0+!vIyAERZ`vRGn+-l)-30BPk>_m3V2lGyxilW!=Ihl;w-22`b9eUc9Iwnup3VPCj+>gtPS+xWFBS@T(IToyKtV z!k*mzpDYFB{Q4fS+D6{ePNI>`QA%W((BFOoGpviB9Hwjhy`o`8P=Y2+LJDKm^mR*F zgnUNps2H_*` zK0F518DaMCe^kr^HE>#_S+TrE;wAI-05lr)UR^+D#(vuXFwFz?c}@Ya6Z{aLhKI;A z{NmjGT%~uznKhfSLl-npks1s}T-6@zv*cGUWGN)W4crZ49s51r*;}LxB8r`R*o|y?ehmi3uDtIdft;aQ z;xHZqS`E2^n$+&t>b*sWTT~&B_U1J4;Jj8Um~jG(eocBNwZzB8=XxROtQK1!$! z@>$9MQQ9tJ6YF#NNz<9)_>+mUHx!1eyRC+xJ4Yb26K*~NK6RDoXrdeU@Cds#ps8Jg z7Tp2N4nx4B7$c2S4qdclh!9+3rCIUOq3k(4#uu+CH2IuY-+VuczeMcBY= zHeK1jD!F#DQRnu7d`!pbyknwb+?g!);BW{XVha9jZh~m4{yv}KGNez9$4)rkm?WVp zp!Y<`l%H$unlbO>;rpa-)lV*KQu_O3pX~b;Df6mq>rr>v`|*DFhHaF*-sm zHd)eif?dU)L8(>?zPgY4eZV1>>K~IR+w0`0ais*>YOeFNMIRo_AH%HJQRtn5oz%_d94Ys!=&Gi?_ z=V4Vew}t3gc`C)s7>k<@tkO(wQy|H=8f%E6fv8__8DX(={)D!Q*_6dZqI5RB z#;ONSyD;&js9DUy?m1JoyBd#v^GL^=r+K=)mf*(yLhIhMW@p@q`K7WWGySXEDASq= zw~uuRt=y6l`{pm+xWt#9ymlsmH}WC#5)}@I0Ns)PyPkPMBc}IQgoPp3DWs(B9zCuF zMNlSNjy=0xY#tq8(Nw^UF8>cRm5G3Xz~0CTiihWaEGi=b6B{Gj|0X5^W=1w9=KqcV zx0%Y!%)r6+|7)gpx@x5Ct@6paOTEn#?(7im=)y6$FuS<32f38HP*cXbv?~#j#V)LN^+iqYD&*jtAlh)*+OF z4oqVgzyJZa_T&oU0D$fD3(QQwP8)%_1Xl>gsjrI(u>lkmg9-$yW}+4x9z!B-0$}9e0Gbh47xa=2Odu72E&^LvPg+<2 z9kZykuCQQg5(cvFTvSguH2l;74glT*barig%YEr@pA$?2_*V$((CX&m{7M2CG=K%? zf^Mwy@bYTbZto1#$knOU%)b8JFZ~C)0DEwCZUPd>t0(ZD=Z|)9YYA*Zwt@Xn58SB& zQfy=dadCh8sAm7uZ0k%e&W^=iztKk&1dzt|p0|Is>tCB5eZbFb3W@5ei77*iMl!j_ z(M-uD*l{!g^$z@N{Kb_Q(vn0Nn45*(N7x5z5DrrrT@ad_7z7;JggtTpDzPQ-1>)}X zYX0dDwmmyPzBvE#r=YRLp{4PE+a21;l-*hw9l<4`|KUGHK%B(SM1_Dc01wasAfR`) zZrg+W%S_)hirX`iApZ8v&CLN!6YyqF=#M3ZcocYW1@;O6Fi>|-=)c>G`V*nR@d1Fw zc4jbHCfou&$v=OLOOpc#^p7Nz`K|rTCp36BuVxZ@tqe^r?qweUGKm~2I|K=f0r~gG z&wbPHG|{!SRSkeE0P`m=|F?y3ZeV=(lVA2{S_J($lO{Mau>xrEr_Y7Wu8B>b5Sj(M zzWu3R`;)GN2NN>gA5xsk3(-XL7t!KxPw72=Ei{Xty*Gv)5E`8Q*6)(g$kOf%(%A{v z@pl3i#B$h=A>8$sO&>5LAgL}Y^!W0}&GxrG!I8zSxz3>l$l>V$D4?!hzz)T2g7)74 z(1(*S*aqPF!%PFfrY26#FbukX4fhJJ!PQyxt*4-e2ar8%ztE3BA0Yb(e+b+l`6KuZ zz;?ke0Wd)J)E^O#J3#gY?g+4c{7WDQu$9dp0X;zW2kr>Gj`B+&;a18Ik)->dk71(z z5&R!E_J{r;+*JJ|m~egRk3iBriVreT_W>^0Wc}YSIg39*1Ujz2Xb=LO0Dpv#=nZ_3 z1Eb&m2=F3i_oi@~uYS_)?S4`?IR9_Xb;1zZ-ynq10)9k-%s2*b$<&K z<9x=>V4a&BKPx(L5*Kv-f)W@0tYN@Ppdjza{}HM`rLY&A-$j zBp3KlJP2k6*6Q>6)qs@%*B8&}z$9T``Us0M@%;oP_<8=dtixMZ^bnADKjPTHqx>4k*Ow;Xi>-|TJ!U_qMKB=Un;w`=!n2-m z5jc-ecYiT|#DF*X)R*-3l9J@~`e=4^ZUE5b0LLnaVJUE$`h0(X_pEy8hvopZW3*eP712* zs7HZ9eu;jZZ#J*x$MVMjH;uxSfwOtt9Ii#Z~fGq4#;EPdK(6b+7e3X^j!x z5^3e#1%veN9g&U$e37VSo$aEC@5WFNv-#c*ZiPouBY4J`Zq1Ck_ykyD z-L8d6LW!V@32K@Xfal7w3irItpZ|I6gJQCV0_5o(uHE416Y|mvXQ6mVtp;;6d(aNL zpBK^AwV@{CIQ1_#=IaX(W?bVR7AE2vt`V)Ckp*5*y~as^B&O(ilq|c{Px2&(|nhPp_tTh9$bdX0*U|mvG7=-X*NnbB%OxMLrj4q zYGfqMs1iY}`@HphsXOr11Sa4TV$@PZ$8;i?X3JAEm9HI>KD~lgA8;?hMP1ig`F~I6 zWc1IRt7GwT_!Ep0FKCOGnLLz3K_;7J##m;K>7ST$yiK{NCwUI5L)9VX)IyXjiO+0V znex`o$6pVRA%S>efp8D#k0n;d@}u@Au*yfp4>vLS*zlH&s#+<1tizWz!#uO4I<=Gh zXJ#>g2D#epF%PQs!MWbmbNsv%ez%nxhpBb=`rdq0lPGMJ;WiLJIi=6k`KD;n7hx zoc<_GW)RgpEp|40HxgNq@tY2+2XxKd9PT&+yTy*)$*7Q{f2li$N4l8Ek`*36Kb;m6c?8v`P5S9Wl12JtNz_@)3-Bl3B`P~8NYY5%inM;K zUUxyUc0m{(`Y;KKV}`EFDF#+Bbz(imq{{fL+t%$Go)MO6CO0$1t|u`YWx zI!-HPTg_nENj4hz=h>WLucoDDdE&i{>@NK18wmIBb&bd{HVq$S#1rUpJPgf|T@lYU z6oT@HiPoKR4*n8Mnf!X5ULETS1yK2iBSYxESxlHo)Anl8$vfEQ&j%9?t<8oB#~#UD zy4l#5Zn4Y|nAwVHtm4iD~6nr&4o^Sv+V^Z!8Lx;A5($r=G(oqb9gmyCpmPz--2g?T{UUn)DZ2U;4di z_Z>v;hVbp!t$}={%90j3FEW4uEkw~{&pfv2_V*gov*8Y{>|ej>&HIpxP0%Uv94J+u z>U_|sKAEnnK@Ng$K$Fr)-4JR+komm(#TKrIq6F%Ve;LYAv4uO_S?TxQ0jb?@6oQm9 zC}9L5pI)JUnn^^vIOjtD6b2g}x&~%{egVjC{__~U=i2kx7B=H|HJRFHLqA3FirQZ< zAIs1_&Y6vkOs7q*{f4uz!SKztz^&CoQGQ+gKLAERxxZWJHJJ=9K0-c0p~Uo9T=Ajg zhIsldx zS-hbLUZ@=2BK>+X1Q-T@MpVB5U+{ttHK+aZHW!u0B~|DYri;yqMwf>dcbiCf$|zMk zgOa_4hM`i^QH}SM(L8aU#*WyGtn-i)B6{4-kGH3UyrpQJ~l0FkVfL`_al7D@w5f!!KehtStn*O-wCd5Z_ z`Ieim{;o-$Zdx$8$HJoy1=FQm@Y61g&W?`Vr<8OBK z^UdlRY(t+T{P($5`JGa0*l0+MDq0LL;=Ax&Q5y!BvogB%w3ubibl)@-7IGc?zl_tG zz#jqkpm@^k9obWY@U-{ZSpFVTk)O^c?qkef}4_ZfR(zFiAB zrqLXBDA+lrBHt3mnv}(gtcTaNUyP)8QR!T5*tB`jeoZ4!xnA_4=#?q2B%cn(7kyfx z!j*h3YA@@2)duj+5VuxcBW^{SB30&+srIIg8;?e2F1M)^pJ~|^3@Fd<0ChTpjHJ?8_xlcqDpSjV1Wn5 zV*<`=oWSQ4DZI14EKNCU&u(Lg>lCF2L^5Z9>}L1nO9B1n8ROs* zAM1tuJ&e_7ahyEP;t@9D5E8v^O{;J)Esu89P>!nUD&@@fCoy4vc~{{kwS2~;EU0Wt z+6m3Pv>8L3PVhvxTLQiku#2~Xjc(PBD{q^1a$7~5yz^>)vKo3sU5 zZ0Ld3Bxm;m2p8D6zJ;<&ab~S--Ngkmp_cihT! z&`vyJOIy1ZXVfts>`rNjMoFlDC8Zfxe@Qt>0^avmY_)sZ+dO9i0zTTZ+EZm5Md*Cb z3t4VoUg_WOn+e+k**`ll5nB((`FIz>bQr+lxu!3%-#xPlrQ$zIcp6__L=BUu`%Z)~ z^yJm)B2nnB-7Ts3u@hJjnx_jFe=x=wgNMSh%UhUnM3s3OvvMDa(5wpn7EN}Q^s%P3 zR?US4Nt_!b8((PA&LS+<<3Q@0-bTln2gkdLN#h!OZt69%|KZC~y=f$mr0Ou@`X0J^ zX9+XC5UbQO3^tB=)FjgyiCa=T)ZkZ{V)c9%-iiIhWWZP@p_O-d7pkEw3D;j7ThG}jfN`3=VbFaWNT*seAw;Dy!2DxF3Z)S z$LyHkLd12c#>q*V42(wpv&ea#QRUb_Ra!^_^V5 zmQ~%;)VOx^T8KU0OkwMqTk5oip*x?8ASd%qX9%{9w0HVcbxV%{iyOWrIzS>pswrqR zwB4f9#QR1^5FPl6dNi^xmn1uCNWW)gT67-jo+9n%em* zq98$^jXccEOLPD0)Fy|1)tAAT4TlGA_)81qW>4YFLz*IDiK5M1u~5@{JB#wuTm^*b z)drJl@V;-`Zk$@i({X@D8V=2meKC;a@O&NuCP`}lX#cvBAv~LyB#|DAOj>rFpf_SU zZBtvYx$&af72GG>{)4%NRFC(%Lia<8y=cAXz>Q-p0HrviR>BzUMVH*g8<`(GB3WOD zqQ`2!p?xcCP*Y{N*hV4>RR@%Fo-@$_KT!0McH?aNhwYPw_Sz_#s$RXg4lFdee9@}e zj?);PqI@OhPb|*b`n^xpxL{HD)kx{#a{PS#yD%-Od}S(AcPL@S1#Ztr!r5je3-eyW zb?-iM)ViIYk)OKC#3^Hj4eO^04HMmOi7Fz?;5ROu6g#xIDKB%F(jU zBrLbB)yXhGHcBk4q!>-Iu2ueZIblaltZL7f*MmUu{pP{`mf`!bxS3$eQpW7oed5XI z7~@!WY9|-28_lm5Z<@t~DR8c4do;b@y0)ZATkZ+F2xJ^% zPL`%PhtKqFgs%HX5CV(CNYF{ZSGt_54Bt@OIRMepG;f6sBz|_Jqj0of6$_2y4q4X- z-w?g0SlK`NZdC@2?vGf}_3=fzu^RBMI0sB9Cb8?ptkc<&vsZg_fUm!Tv-~#fb?xAh z5oO>|c(1*|uH0zKu&BV=^x$O46v_I%*qPQU1Nr(V(Iop0OtZt5dtd6GI~BIiwEZ)bSg&HA8(0-9~l3 z5@arAq_Ug^l;M0(YBpjKu=NLpXeV2|_`0dV8?M>D@H}DZoA1=oU+xc2NF%D=edG2; zdEb%fIRpGPi_zFgzjT<4gSPb*wKybUiXkg5GlWd6COkx4 zDiOZvkiy!I=M0hMOOHltM@F8~rfqDZEF&23vV&)vi-0brd7ZgMTTcT$oPTx|Psq8? zFUOQfoK{JkurQ0e--9NaqSRyVvM(e4#*ZxeG8r2E(Qd7lAZl+x^21XP zzL5G{vQ?!h@F`mYUZmCc+@b>GK$0Eq*;ZS63Z^A@iM1>ENWr9;Gj;(}(Q(h1rS(H? zFxPNbX@QX5$&#hkuVX6aH4F9x!{8Qs+m=jP1a`ECJ@kp-@?bni;nM{)tm z^!&xw@~2^%hn)b6kQgehYn_<*JajYqH~mtI)sx_`kGDT?8OmhHe8*y)SHE&iv<7i8 z6fdy;>~4r(hLa^EtBGNunwsYc!MY=G!~-FhY7>wsH#VL-95=jHitsc4&dnD$jwI;VLTP3wb_Si@Ib$$<8wn4}TEkL^QB*MYM? zV@qO?d=FV(7Pjzw!w~q1IM13iU#Z!{oR@gX;!}2^hiP2RN`ETMeIPENDXtKWpEqdn zU~t+!##GjW(#Eb2u5-YCt9F_>5)!#z@2A`t&`*e{{fz( zG#y1nWRjLva6Q_u#`9Wtyx|jGVFenU3izlTvWI+o^~?0Cg>sV z9G!mhi}p>O3D!!=)zKsO9D*tT+Q4!hkb2qWMwc@kL%wkvb0kaT=CoN@d*av;GIeKA zH+?#;qoga|u+Yf`Mo5gTHHqE&sTD;LW`}h2PW*gnpT3thl{j&$s`?tjR;+7yaFy$^ zAXEw&`!0(}6+v!(-fP;`JW9TfdNpu>zdBov6{CF{&j7x>DVr8)rFo;kXU>_$CkbvN zQ|e^&Dxt~?IxXLhOH;UH<6OF|FtmxUrPU@iQiquD6qcsB!DSUJbtc4Jx0Avk)>$&~ zj>Du-+59R59gIO-*_EFvE^kmgdJr>W^^0Oj*};L zpH5ZljJV&=*QfX}y=0uBV}g>A90HxG<1=V*8hHKORg_X}zL8V?e0c&Ly*Nd=du{CsH-UcOQ=aND0{?MZ%3_>EJL@PzG+Mpblz$ z;b4+U0+?3S%I?D`X?amE*RiGF`E44iDa7^rL)*53DQ5wx?8ZQ()4Fc{+XJ|IK>N-G z^LDR*f}DwPgg7!|Z|@`XfJT=-d}%z9>3y7<`{b)OP2wTXO5V&V#dW)#Qp6 zlqGzr#E{)b*`8)PPn7SV z^eK*F)Wrctc}%pyWJ;e8;T}%z2)51h5KGqO3|OWPeG3%{Vr50Gkqq#M}0$edlH9e zC*(#`y{>&$%rD1tCFyx0?mqnpcqRRc4!g$UmzMET^H7YKx2zJG#SRRSybzT=_c0Lm z+fu004@ob>R4&KVyk?XHN+P;wLcV!4-{Wpl$BrHZBL*QqU!my)K<if^xrWyr&gHpHShq{N_aahBU2rG{Z%noE#@O=U2%GF)wFd=+2IhZGh%A z{a0GGsxr+8NR7-QVloe&8j9#&E9!g9?Wz=(DNMXg2AV6x(r;0GMGm(F|7o4YdCN~H%_Zdwr&qxt>t%~(#vY#-!4Ex&3vf?MuraJwvI zFh0q(!Jsla%r7{BGwD{~+3emRr~L*vBLBuyE1^XK-Mp{B*xXs66S3yDus zf*kn@9$Q0gt9t!Q=oC~;r8pyfs)IOjYL-QrVPAjor1qd9DuuFz%b#mf11}q{W&w?j zIHh3j{;y9Y;o;;OOFvI+H~9srs_FVV;2>?}NGKUv^p@md12v01h!R@M&R3g>DEZzT zZ~5&}tL==EdY~v9`0JI}Xc7iFRo21pC%{ICmHF5ExN--n6G}Q<&O@cZrOe<=ryaYx zDzkJ#U4*))mKjg?7=gqd$)9hz@`{I`N@u0`^AKT}CWf62&NmMegKv#{N|f1h(6{Yr z2FISq84L>BHy#Z(l!!gJoKxS!$4Ze?Z;(d2|nFUdjsa;0|)0t#6 zc!sk=(-5_QuW90UdrQ{o(gD5h276I};vek#={=5e6GdNZEuLXxe z+y!3vbv4v)m=z5}QenF@KIy#p>Q9vn3^&w}_q>NnKUTPv*u|H^jFpC+ejF1uBFJ?v zaPHAL__lMC{%qlnhs3_OEmEq>G(Ix(H7R`mDjU0@Gg6K)P|J&kv51_B*@WaUdQj43 z21ZJQf@9WG<52z6Bhv2T07?j_+o{qeGr~ajg(g-{%EQ&b4;@(AMuXD8q;vLVp^+Kx z5pj3r?ut?SuXVxl$;4jYER%OsKC@R)_A8&6OFTxCGK@;KIF}d4>6;)rdppJCFYiEW zY#7`DFk?pA?*%0I_4X^N7fjB^jIo+$#)M|*+m&6cP@dFSuKM&J3byGfbGP`a5ESQE zQ2SBw`MH~6f|?%Ta~_ap{TXTA8~EjJ3Vu^@K$;J~Lx2-Eafp3b4J!sXkP z#QCJ`GeRB9nOoQ*?FU<^-Aq-N@B>vDHH^gUoL5A#ucnvENDvmeq6-uXgsFa2Rb`~@ z8M(|G;e~qVNS)iP0to5Uy>|8WyZnW}*bH=TFB}{rq?ugiz*837>ZOiX4$Uw$KJJ8h zZseI+hrD6Ukh;99A3Xk+(MmEFnT6z>EYNLR)oPviRiObduC){}C}f+~Wa)Q`rqof1)CPj_B1R}Pv2p7SdBbjojda-1wDKep?ECv1)Xus<0$ED-&7e)L* zbHY6)MR2d;dJj#{Oln4&9UN&b2op-2goAwJjT*f%;mXlc{S0*ns%g(7z~%sJd5bw3aOCMO;2N5}^TCu6P!BU9A!gcHz7wF?BZb6(q2_>8lH@QZ z<%V8w7@@@$8FWQ9G>0Y>DV@m4oGE)vZ7Ci*WNI%=h8GmN>l)G(za{eH1_-xgij!ZJ&p{$q)o`Rp}WiBWAJI$iumM0zCiM zmpf`2{Sx0f^{G9|6`dt3BecVMPMYWY1_ybFa)Dt%d?fsQ{!|)MDB+|06)?y&8(x7Y zoeJg)p_8uk$5_1jmUYbNw(HhD>pjX&1@W%YE7Usr+E})1_fI%$fh$+&uX-0Z7WcD+ z%4B2BsZPniRkj_A6RQAsVBco^vV^B4E!9KtXZ!rZLciI>Op_&Jsp@JN2I?B3;|<|3 zdKpn~GyD1lDx;rd(>Oqnjn8xIH4E{}CMC{1yZkfm@FZa< zUNTYF2D+aFf7q_<4z7I@ZjUcY|(2(zg0lBc|9n>geG>=^VFk&G{M7 zulft`E%RGZa=iPuE2B52pHe=|`<#wip2ltroV7=dm# zpN;FirvD}MfKIp}{j0@W74uRFw`?(d!sN5(8_JM27?XW`^D3Rg?wf&$9f1Bi7jOLI zk|S?*D-T-3pk1><=@OKl1XPq4M&zA?c4;*Rj8GI6P1Z?>_8MEUo7Z|pzxU%RVgwvvtIFLs_$70 zAqHe*oLn84VDs`l;In*L5mwJvZ;v10=Jrt&W$prxakjL&Zol>t6P^OO2yMaX{#M?| z9p3)h{LH1opXhacD-;aR%dH--((9n<`c>Bs<*z>{Wb93JF?IB-5Qcve-xxe_{wcRU zm}m9PHr;(`B8RhXPo7murMhbb8e2a42=c-=q zTp`38H^)>%a&C+^*KM<3=zYAzOd&46FNZi5o900hW%-6wSeP9#)@fb3rVS}YR2sTC zUpo#e@DQ$a;VVDkuG?m&A}e5ZrO>Pbo0NMWQR)$`+Di>utOPpyDY{j6=LTLs@KLi!!c@KnN$Vpdjb+MnjARTIeR%8-|wrG zT?#YJRl_kI(8IGO@Tsg<9{oseIln0K(MrPl( zzo<%L`$ss=&x&s!diag5t`nK0DFO9gENL>SO5NG435Ac)(4%$T-mxj&SOE@6fPevNx-sTc$a{>cAsixc7)N2MjIE4^_(qha7-a*TQbq--QZJiX z;?TZP-q*@|!`A{6{*I7L1 z=X45BIj`6jeZ`ILkk-7B2OWy-v-Clr01YZtD4x2TY0&iX+u#Q=Y_ah#@1lkuTrEUD zBs#<#&V0@NNS|x~Gq-GrM(ts@%A_uHq#`z5|F&}O<{ePaF^hp5g4aIC476?Bgp zi(7+O`97-}|*ca=h4XJ067IHClRl45yb z2Hw6WZ3zQDZZx|nS5l|%;?G~U7(U!MEl?3W_{hug4J&l3NzFB$T0Pi4S`)N47-E*Q zl^3}jgrDF22szxLA&BMSaM0GY3T2c*E@>68FIEFIC2{y9k|4W`sCEckKTvDf--utT zI0Z^^hPQBP7qJ%Yni2B$hOld<*WfG?>Z)gYZWwlP_;SO{kj@8x9FHh6!n{6P7Kdef zH5;y^S=EU=)4F{}njSCCFnj)Em_kOOlDsRdIPJbgVUjc6&m*(Qj_6n}!p!hY+pv|*fn{LQZeaO22Zpk-B7rPnV zF}oOnre1uwcXjs+Wc({B=bky=J=O+93Yr#JJXWCmvSVJ;OxKzzwZ1t;VGVY$ClwBT zL|xMTuHIuwbpP#^VdafoU<__2a>NG_&uuwFWZrIcS!l+2>ibp_GWn5O{h^*77R;eYXhT9aLhNZMDqB8;A2tpg6VXp6u_6IV-J9TUw(&c%AItrl1qvNepJUOW{;54%=( z`k>G%a*YlZOd`%c=(OjcZhn{Aa)3#Y?W+9L2#l*OE<@&U?i-yeE^%@j|9)WV70}*C zd2O-tQFyyGc*ePM)Ld0L5>TrB+CYpz3XKyLgI{5Cj<*Bbwy7KFzPLeJ7lf<4utEc3 zjZ?r83)szQJ)9&^clffAq+zNiPC6$>5-b^6jW7%j^6~u3WRGj68oJ02=w@N~)#$hESrIQ_G(gOZ z#uhd7tc{At$6bwAsx?tzxbLq!#O#08oT=_{mkUdjgiZPS>!c^-&M~c5zkkqpJM)>( zTl<%I45p3x)A5$WXh7zBab%pB6EZ?YBFv-86 zdQiv6qKiZxl!JODGxHgot*I7EC!G?IJT5wuRh`ax(r7dQD3@xlGZ<97k2)Lm~c z1Gd9`o(BSGp;Qr$bNCMTU(wlwoQ^ATYE(U#N}X2zT0SCPg`eZuo+aBr-jq?mp14M& z>W<08;4ezQvUqjoH5&)&B&%?VX;bmIQ)+c3LL*-s*wXk_m1?Jt&BTPP>Dq(EWUBZeqSwzg6BNog zZ!@j;bsHrbunxuViR>^~0h4PedTFvBH10w_Krhcx#k(-r)l9oufj4 zCH7|C-CobV0pQ!_m(0hW(YsZ4at3aX}q|bHJsxKc{Ta?#Z9t(T62d34~jyYDuzmX ze~CRt^91m^T+EyYE@cnIc*eGu_%P9hUotQ-9B_C6`K2@h!t*Kd(4;r^ssI9xAzpI3J<9bQuHyYxgVX!Edzw`hI$j`Um~&W{8` zlu0bcpFU$_hX#`m2k|d!P(+jWbIPK~jBn z)t{bNa;whjetkPhaPKx1b@?H{l~V95&!BC|z-VeZ`H)*0nH;GiDcf7lNxaXIiiva` zQDK}t%Ixx8^Ik}4KXLzVEJO@BUasZ?&s|y-*_0iI@)*l@R}b8~E{vrOjPfnCK3qQY zoJc6WkxT{KEj;@HPW=`O;wHkOaY{eXHS>0r#T_?oA&Xe%z0L{g{#c^5JrPkyp)AZN zE$~Y~$id*`TV2_PopYW#PfoNvqCwI%1{hlvg}oSo4J(Afb~9l;uW&*}50weOlY^Ji zaW{+Q!$B8Z4?dpsC)n@4q!l~)mG3^ca|=2xqPRtb*{4DMKr7hW!rib4C^R{4Wz-52 zN&~qup>fmDVRG+y7J;$Q%|Uhpop?#~`zruo04Umhv*bitSrQ zqy6?!byr2`my~##hWnU;Y>I%G4spMLsY7Mv^rf#d4Kvu?>z?yU)*79}n z@X*K0ADHcCqkL^MGunu`TEgAR$mpi*67Zz}Bi zrreH|@{4!a$+IHvu0H*Z(>kUs>H9_*PANgU=G5a}w{%VnBIJ+deFQqYafv4f{L0QVhQAAb|{* z`o?7D*iFfpVPcO3!I>;F%5{s!C~DVsT$%0-rLpAlBH8Gd1acc`&Sm?pHV zB2+fRK5RV9<%-62JL__d zLPu4ciKwc^qe8TNhKSnmM3KjB=wXIeRflbbEy6HX4WfEI$SR#Ba2k(#?n`-52B35qwZ+s1@W(zWUi-RjRHka@JNiRjBnCKH~i|CnM=E>|)Go7eydt ztg_o}rKgwoV0c5y^sk-`5B?IT?C9>rOLu3mo~VWNU5a_CCWF+tje2}f*g#@5Oix2Bkhr_WR+L9HY?b%3B;JNeiZoC(JQ5i?<#jG=VKbp&Ggcz%ySy5#$ z@ae}+=(uVczfUA)|$cL^5KuHCyUxkfU7D z|9blKL2j1!{M(y^N-T8wtjOLPEKD25OQch*p94faf?BkWykg|=EeRcooZm}la8$7U z`A6vCa(4|Jt zDHVwqjz|opP%aDr1+BaC) zeNlL-KqvJnl&0dGO2`SoJj=wVMBW`~f$vnQ)wx?s>Ak`4c`T9+wr@S|c5TXnn?sPY z-A$8W%qKwN`Uz|7$f5PF6Ol6yk2$KqkS))6eTbh8O9DScvx{9y@uA>YGgqER{o(NI9`UJOtp6%e%)I7VQV5^JUGo}_h8JPOrGvn^l;KnQWw&RzM z!C>_|_*yOvC>Qb-nXOpG_PTjzW4FGEEZji>Yq#}XutYOXh7n2x^@PI`f65VCO|?Bg zV+nUG^o!(~t))42uJlm7R$)-+T=EO%ZFk+gNK9dD{IC8`DV{Wvp9%a}1fynbc1w+L z)okgmr&8dPkp!{JGfA>R4@RGhQd4hlNV>&Cb^D7qwQ-;b=ORYoZxOE3 z(Y3?oN^_mQCgO80w)weJYf%|xUrN*=YV|E2I;PN27Sm^nSL#qTGW>q>1}C>EhJi~^ z`-u0Wq;B8SP43hTz{9u%8E}nH>Lh;Bh1(Edfd1! zUJ&CnIzv+7=rdxoU8^Q>x$Cnf}?wQ&}0N0%`7h>-v`FVG-j{RahM}3kOL!K|Ni0mDeE0nGD%)S@hzo zh#f8G$O!O{J$N?QJo2Y2%jDmRpsEu$M9U&WWfO)A0dCK9Ahbs|;TxeRd9lTZiXsy? z9G2{#`-oiR0kwHkJ)+V6LQ&*aL2VHjpFJGcul!Fx+u}Y{Xob}_05Y{IEoZj<`^8I% ztcgs&cXNF#+}ZogB&k)M5(SfvNvT-QpBl)J?2AIWKK1kq)g@k+iP4fW8mQ1)T!K;{ z(h2u1Zr1T!V{`o)`#RwcrSAOWw=45|Z9Pl6(}WA0l|;|){jr-;8w8R~r0KQHajggM ztDbAencgpB6CBmKq19GQe(CjV+eI|jO$@n)*-9vy@N8}k@j;<9oj{Vzydxh&OAyGh z7rT&*>fCxFAvtGj;l7E^lYe!(^-%-`oYGT^6gaIv36jlJOGmdb<`Q?jtL`c5sxNY{K!RA{lb6|pOPS>^kH$p0+p(6)pK7zyh z3SphC&OkiC?Q5+DofP5<>zvY{xJ4}*ceF#@Tv*(_# z^yr{WC9VhoKPla1a%G5Cu%1*pn1i=(v+m@u^!jDls@!q}*ZM&{$ic4M?s zH-icD7v$2i9MG{vbCZMQt-Yb{*vsT~*n$i3N*!3R%PGiIil$j+u*Nl39mgfVnFlUy}mh!g#bt0l6;&)$zc3HVL)%7&`I1wB0 z%6EfWrWS5QE#)qamtX-FuALpYInhA6puG_#R93AGMtma%V2m$Kp>EHm^ubC#jWsVK zXVIvnoW}Ls_U-A^=?Kj2y zq9{1DY}>YN+qP}nwr!oVZQHhO+vq##+53e|c9OM{nni1?7sbTSxS-cz9T)0wahX-9 zB}bOzT#5G9n79XLb*M3ZErjSjds0`^a~`MZaxL8jyx9;;Q~KmDKyMY z{nY1Z9t`puX3)U}QoI+?T|?^t9R??;eq-~PB{|ui8>z`!H26=p2?py~G6n)|xiJHQ zj&J-WHvRRDmxMDdK*`}!)34*bAs5i2xod+rxiR5=)#Ih$I+*ma#dK$?pEXV&VlxsSh14^wkTT@ZS3G4Qr~# zB9SRT130}{VCQVn_901)Q@=KW7oS8b)dy=aiK7&$0w4jZFqgUUl=E*!$QWe5h^>CF z@!?iB+fw4b5RT5l)raUr>iDI)|K>Y_9dELr_&3@BoQ3^%X(XaNJv=8Z0}vBCHtCgd8uA+t2%sQcd^{gdL&J+LGE);BsElHlOGN zN%Ue>l%QLW@fh)lu4-0qhf86SlB-nFZaKhc<;rx`zl1|wb}6g$GK!la^cyWhTH44M zEnWMhPK{Ksh(MObFgMKyD$-aT{CS(_9p%_>*HUSoww^L2YX9i-()B$6%{Q#aRk=`H zU;2?%yOH}(TAvhLV8;iDk^6t{6uAO?qg~t#!Zj^1Q*tiwUIz$NynqXAlRlwQtZmD0Cnags8b4mNSrU~v3)(bLJ7m@496Vfdowp%H@AKd27EQW!>e)$hr^h+|FkWav4 z>Y1!e>ZJ^!G@CUtWeyWaTx4z^w=aSYnQq*|^MQu8BTVwVbyF#sK$;SlwaL?jM5|Lt zRYRyaLOYRSMZ0~{P!Bc>oKKVxU4+(w_LOE%X_Gb`am zX@TP9r|Wwny67`{hS~_XSe8dI>~tDW(tk;cY%U1iX<}`}CfWLNt_v{_?*w69?UkV!`?x@C4`*bctVK=G&V1{2_aB z)K#z1#10AY_y%=>3Ut_p&;fl}FS5)`hOH*p%rADxV>p6Z>WPSO>fu7blFHdO`!)T` z*Vgok;ECeH!mA1ZFLZUOAieX--xt9tv|)1%eP2I&YY>aM1$F%05DW_wn8aDSkpJ1v zqif-5i4A9&aYe+(TuJxK;pQ`MWtOnrqDV3qrnFT3s|x%rA2;RL%ca15&i5@J7zP&a0-h_K^kQttP5IwwCdQ zgS!Y`|0DRDy)#92bD5Ea}6IB0t3U#HgL5JYpsNuhbatL=@6%Z~cQzD$ z#)t)A>}Cc#HX5#~`!S-mZoZlG1UL36m8fC~$4|H3gLR)Zd|uFFIw*W-78ik?(0u!o zUaO12_+DBGz=!~HeThtYe4^~>ld9r;fWCj}f%xU@cV8WubEhU=(D1ufBM6Fub2txM zfB1+Yi-gV>Qg<|q(?fqx1B}s(mglA%k7$ue-~MXp`0bhu<5+oq$zGV5sFxGaQ2l-e zw-evl$3#6y13D!3!YU-{Wpik7GUpE}y2rPc&Q_!kTAcVRiY0+gONSdzNU0O29YWDF z#wQT_Y;f}rowJTTqO*&Upa0;06nb2fW{+kn2U+=&1M6g+{j)pCI~jSni_KbjjINA5 z*b&O#ioBPjA z#`%Qaz2msn#JjHw?kKO?mvQYQ@<}ABW;i>u;+CrI5_8a)93+g;u4;RHkK8^IAul}o z#=$GK1xa0){{h&QMmET(sgwtvf+SZ~jTa21#%R8c?fD&Dj*wfLFi(XmKb_xn6eU{? zO8Yl-h5%QtrhW4ETeGpdgNVlmj=H$C4qx@hQVuSj$|uWC-v?|I4x9y*4n&G)5+L>j zw>O42?XmOw5O_wCjU`vJ34+oG^hzt5=If#iMYIYfNHlWuM3}`2ia`|%>s4ffJQFII zBStydJ*s|(Wqr26Qt(X|d0et}3SlI*l4+I7)+S|Vrr5=bjj6{;iF%qW7o$FrhC(M+ z6VmKdKwg%Ytkd>lV_2YI-x_vV7$RYV-5}~|X0-%c4b>#GgwdC#G5>~K5;^;xgb+A_ z+D9kMh6j`apNuhu^(AR)0;47CA-@6bOoqL6+NpIEZO!qBiQ(Y4O!k2lYwP3Xhm1`q z1y0)s)%D;Csh-W?RN9~X$atoV;#v|o-exzj;{o&rn~PD1ZUU96XaH zyXvbXsi#Pzq1;y3**YxWCMj$0n;u7Dw>(vmN(P^JHO_~bHpqE*!?j1*z;8oHdCKFj z#%>8J0AxU$zZ}Io;j@)+o`&s0Zk-7kh`F^pHu(zC6w%1F&Sm1pm=AITG^JLNcE}y) z+j`KLlvgn=5!e=>062q4(cvCW4&=HG8!1hqzW z-VZ03L?*C5CDdGt$*gGP@SgJy4vvRAn~oH(w`RgczLF6>U{jv$>s+sJbt?_rbzP_R zZb>G?vVz49yBI)e^?UPg-bzzq$>JWkFTjDn3td||I68^zgFaTR?c`><;-rGM>&q~_ zkGn;wcNnhzV1z#!YvmkyI1J*M)Ql&iS=@f~XMVi9ZNzVmuHMDAK5C8T2Of^|rbCK$ zwu~a%$FR3p={?72miaPyd^>~*v7$ShV|RneFrbE*9meNnPl_4v0S2c&q2oV&FzwM+ zD!x2tH#HCBJXm0#kZ(4|Fu>q>nK@tDZ;go!3%Hca_H{mLiSlf!jihC>q#!DBbB!x5 zag(uvQYsrjMqu-N@xyE7F^^aGz*y?}HH7V?qw0;Y?z_QF7Y&kpVs&|tHpHqvd3`UT zRmjwe^CSH#g^zzLn&W!z7nw%5k?l#VT-b^RV}!fZ zu!8zMv;hocyjVt~(Z%RB&x9ZFuMccE)Xpb&x<{L~K& z^{K{iKEZ$3WX#zMkUbTbY#128$cYMSBhaVIq`1#`pcu8G+{)^#U-U@ldpUOZ_o(9- zBFW!23lQ?Sde+&4Vn11Fc=@ZcgGHbF`J@nr0>{24rWrzI9q`eFC&0H`+%tJYPqE~S zRr*mZf1C2NHNF|^bhK#OGs2?Rk&bQC1cAUoha%a*S^flKx^Dk={kKH)&7YW>CeuHp zFXWyC%HvaWEs<~}Xf>7EuH&8dIf8O%o+Jn1m#i5zxX98}pPRnu_`an_@I7-5Nx{&7 zEK}1|L_@>G=v+3~Ah|G8{o!X=Zcl!Re8t6THPG$=hdsOGa<8{UIIriiy?$Q@p~gqGpY| z!u3V6tjjM|Bn(y~E@mEULZ!Y#QRO(6#?;;bYq*hX>>`*u4}(yHbtj=KED9)^;s8CR zzx0;rN>vHaD=A{zCbATyK?MnO!6dKkd99|!(wU~1u*kfKFwue9@SOx3=UFvWa#?$Q zqMfg!N;M*`c%>atdbF|LfKeffnBx|=QQ-;9Dp4ktHf%Dzv^t5@FF?Kk=t7J4UEl*# z$D6P3ebMENEpXB?k26N8{O_Rw_t>2+f(8tW12hZ7xY3{X&da#PE|5ENNdTA?u}}!v z{*n8UrWv?qDz|eWPjuUFN2y>8oJz9!Ev976$Q3gNH;sq1VFI|gNfz< z(F>A49ul~0v}N&BiLlWF`U5H$niJF??ndxl^8kw@2y_E;boxFXBA7r)od@Iw%A)u! z&H>=gj)fN(ZOR77o`^~0euS~(POTA!Y~$D`$L@2q*g85>)~l9v83rj_idJG_sq99! zk0X*ZlUKw3`4J#x4r1Q&i;($Nv>ag|ncexE2$hxJS-n&iK_zuciQ0s0KD!k_rT@f% zz6kX&$kL)`boK;!kC#Rc4Jr8GulWoX4GEZhKk*mjA+Iz~@QDgKPzittq+I$Zy;TA@itg#9uth1v+ zyodDQIGn8yB0(^zUck5tj|u`xygT%Wv?5_6KL;&A+h2M|e17ZlwbQ{Xsd*Y&Os{G{ z?(1|`7C}rN{4`K?XkJVR+B5Re(FFy!_3BQXyC2ItMa6AYKDqa`-HL`V%0n13jW5%6 z7GC7jZlypB1|F}@r&%sCdUls$NJ0c?AwTEL(wKbpS{h{|)MZ)lskeiD<><{07^~d8 zfbZ6A5Bb)AS_Fp%lKk3G6)48N??RX;2P3aV>ochsy-)&`w0<68M|(s_%2w->o)*@xj%$7=*U{R zH?sujCTS3HOl;@{e4Kmu z$WHUVFhyq%OWKCqc_Ggd^aBoq!Z7?DBzqQp*_dj2IgF#DY>c4t@-+QXWAXe7VpG{u~k^jl|k2RXj6!ul-C z{;iPyh}pP?8&(oFFU)n&FwpS+>&+YG>!{$N|c1t za?s*iCk{4;u%M|uv>45c73wZK>DIRqmUdD#%8X{u2D6>L8O>pYZo-#sizSpr_ET-o^S;b z(d{fnORW@^FEu+z6T!Ayu#D|P1@;WZ{CGmEUzB{7y`V> zRx)Kf7g~JE9Otg&!`MhiX`opyoPGt6Mr{`6Ela{ROWO`hkOap1>E3XZ{)sLyxXIQ8 zkR_vVwW5kvl5Th&LaRkLZCXAGkkZcCqI&60KTHNo>FMRQX&;d7A_j(s@bh>sAp!nn z1H%N<9|ZhP|}pn%B3Vtd;)8HyBd2jAQVX z-}V|_ZXU5ix%&VwMq=U_&v^q4yY(=G0XwrGU~XnNMOxQ4tzkH3*e01-gdWpJgi7%rNPxdkSL0YSWha12J)w;11~uU=`B*3n{x05+ zu2&iK+Xj+!1k3#QQGi9=U(u_XCnQ19gM@^b+-0!?pIwLOWchX$!iJd~zl93DTol-g z06CJ}*`HI9MxOfOIq+dxrbo__yLoxQbn259iDPp8RS9xG7r&i=sc>P|&v(Xcbn0lx z!C79T`VYU5MSY~Y|7??1dj350IGyh6Rd~dzd+0Lhb^tucCHb$g!um8MSXE==ld(SM z$f%|{2LcEgtaeEII5&SHR?d|Nu&NLQF1g-bpBpLxIO<4M&JqNAvFN_jnOLeZPk|M* zNs9@|@Cf-0?t9s!N&(F)hi0-r{YS-wnxBJm&UFtFC3gDHk-`UKT1jtwjqAbRyjH0@ z7&%0w$8JVq&edpTHK$9Z^-B#&Qf3-R&HrcJZz$sT4Z~|OZCJZK=L7kJ5gAd0T{Ef7 zw>jQ=eZ0qbT{sp5>cLAm0Hq~?O7)fqP-y~KVonpb;(j(;_HV<7u!Lp2Os^NCKPRT% zH)u_uUlMPbAfC#P7;z?HduNYA(*oCr(#Kj+RWHb1D4X%v%vtDv??xTITr3d3fwAvyX?{YdJ#;pvDtR7Zw2S}I{Q4z2O zID%c4&by~GAV>NsdLybpUTZ2N)~92YAaMo>AE<2M zr;Tod1w6|2ZPk93?(5&^OaHC;a)Mmfd}Ko;0q+~}v$ThUsyA`RJj@F3ARFSJxBX8S zuC>#cr+FplryW{TSq8>s?pq2wf@&X_3_8^&EQ58&wU;Gdr`G;nzY^1;rab^}ms+lY z9c)X3n<%ms&&xzM0l)si!jZb;vwKLKqA0;G{`f4L6MTi>EQ6+@iY>@om7nfpp56Eh z)|5b4DMcdJwFo(S&(WZ<0xW;MBnc!1m?i8=;^H{4&X5 zMok`_8cziIGz(M!|7A0J)MpSKeqIm_GiU?sB=?|0$NShz_B+8|c7;zR@Mnfp83mhW zSEOp_CEz(5`qAgZ27|6X?p4J$p=T`t{a0HJ4A!>F40KXI@H(Xz8U{{M~&G@e1wuUooJvhkIagnQ*o|kzdQ54p{;AIzl=Ni{w0oVT8YO|G2)D4#%{x;^1(PW-F|7 z3@_DC8oVp(#Yg82J~(|G>ZEgMy!y{E=WiTJ!UnC?m>Q=L`xdZZ}*#9RFZ~ zM?;RC_EdBUtgXM`YEuZf-=jX`m}1^!-9a)X2j`H)sWuqi-bji-hqt_Y^Z0Vn>@Vs} zt`d`+UwTdj5T1q4=az{r%s3)6xi0|4uMD*|SDi+CiFkL4<5CL=$1h7oQ>mu6ejePs zX3bc8qjnwz$Zl}Kf-@t=A8040eR`sKT_Qdi!%JZCDEt7_Lu*$u3#>i3K2y`^QYNKB z%^!SuGR=zEzqy93kS-%4I%FpBdAy4yL6(un=^~g98@SK{yS{~ObuVfe$pV7d*vN$U zw>=PGf76L;ILv#2BPY>3_H%RTdf27s58q`Nw7lkt++7(q8k>q4VKE3Ts`q^E9IH?D zW(_^91>h*F^cEZy6U}k0{1$LKqnFy2TStx_zt`2Mrgt2s8i{Z4qbZY0gs+Sf88D~Y zHzW^reVh57XbzD;Cr$5XL#;&6J6_F!cP&eGPqhI`Dew4$=ujJ#x(8&xj5RDmmOus; z61d8!i^Wb{neq3u-XeV ziVxVM)76~t?GY>m0#@q6AH&kJ1u0616u0<#KI1k2CiVQs>Bvgmq}sb8f1If9B_>Pb z2&FJ`4Bgj%=jFaFtDzNfoA0)VR8+>FK#yBS>PM9ITl zIWe&IFqndw8bk2zn>}1KJs~~Z7QN>|P#1cRf=L=iA8s@pz+P8C!kgX4r|!={Cql&Y z9w48a2o1={qa_(LlukHI*LP*myH-CjLcZ5}?MkZ5Hyi{I{|l6How??XAUn4Ja>8Y= zc&Od;Nm9yfIGE(7oF~^q_)s-Riz*BKWfuGuzyVn@@NE+_V+^8t=)7wJJWYTaY}GZD ztDbOU{xwND)ptMh5iiFx^=C(8J3lBCT02XkP49!A-NYtgszMsjZg!7_uGH3g$&}78 zuzQch4J*+EM!k-z=;;22a)_^7UyLs(SI!nr9hvisEsi>X$7Gg#Ms{hw;0DAHHB)Fs z0By{4LM;i9vT3Mi+#n}ouFDJ3l?wdO<$paSIhF??PEZ&=Y%L)pz*+{Z3R@J7+vaF=u zVAZl=-f^ho^T}_+lqTHW9kX@aK(qSBG2;p`f4OGwey9;<(DXJt&=jY(iPhe)wlZ;yuB`{Hf18!h#`a|#-yh*@mKzbn6B=TQ1m2{HrZkRzEBZfR|f zjMtSu$h>KaqC6%*HC#LERfgfU;%~f!<2zgEgHLJ)c{F1dto%NIf9awMGc4cS+bxbh5epo%#Id-@bO z7DIMSjt;}hOgOQvU5+RiekwZjs)K{8nVB`iNO8CDl8`VkEZL(O>HOM}fW}DEMMi%( z^*r}Sm0OC#U;&yE48wY|vLhjcMrgJ-fRwggmiYOhaUYF#L?s|RqgCRLPRpO;9x21v zJ`PLBSCY+DI>(}Qa`NpFI!jLJn z47mW*#Ynf(D>JQ58VXN}Fo#sLr_NqRZQW?Jc1I{3(%l|pc;$Frwzf}4T*rs6@p`4v zJ-m`m8=97_4O(n0RB`n3gZ3H0Ek5gWF+TF8tDhjzFP&Q6aS$RkqA0@y9@hKD z=&7IV!9_nZOwlBbmtDt!{z$iQX5lL!!|R`s_JuJ(H^c{Sgcgg{e0Ph$pDr)*7?A=0 zLPcj!3t60PNcwn0zI$ad`=I%kO3)c(=<))nahW5(H^c`bMrKb~Z-rmBH3}leIht21 zDbe|%oy2*a(U0kux&cXX0-AHC5>j@}`)KyaHBk0c0hXxNW0L1gb)rtg9u5cP7STSV zuk%(O&27QMXS4gfE0i6$ge~U|$M3-CCt1)}WLx@4`4#Z6Sqj_&+r7@>QNdLpOwN#@ z_|^EjWh^R#!(JK+T)d?53zpPftlCviDFfplX_R>jqS2 z*i*=K)u5cCDg2^@51AVDz}?yL`m9c_-;)E=i)Bjpnq1!p=ys!~%jXB~n0Hha5$Ent zhe=0KUYDfiQG>Xs8@IVz)CgH_R3iseOGN6Kor&=Cpq;uo#2ZEPdUCZ=meYgJ_ zl;ki}Fem!;u!_nAq0AKT!9t$1A(z1r>5m0FhS6hq7qi}p4e|#5b7F`cK&QEt^X>|QD-xwWZh*~+vM~egn4nxHttSS)*hu7t}il+F0t@3@yTuz$}dN|)1PB2iGY=8PKmH@EwIU>p^ivHuioB5+pDZo2)siL0fuLl@FYtAZs?Q^S zubFIE2ZL{Q^U9s?Py9`Z_jCWmz4^tuvlikDd_D9cZL28{E`tK&tG8NL1JF;`8$u{n z^@;3Gb{?YwY8JiWIe!p8rj1K}Qsg62zv>2(p!#SFX5j)V3F4If7sm~AWTJI_-38aG|0Yv!Keg0nrdDy2ZhsvuS@6LlB0rVri>-QY-x+iWL)hyXDEhn-2h3xR zz`P~WlY>C+5}&VQ=aVNoZgBnzFVFy{FRXoDl-I1X90AW}Of^#CPF*Hg#Qnr>C&MRQYx`M3vX0LEP|+EO3?HSy)-PimBw4s-q!r zTbs^jXi%m_49WC5u9Zt?Uc$I* z+UL_3(!04Y?s^&vE`%Q)3ko4_*>Sg)(=HD=VVcT2s9H5g0D+kR#CAKOp_q2~VZD~A zp)NiVQ@st(9JwRh?L(K5f+gn&^Wh@8x#2EX0~I4`R^~f7i!g7jY->UUW5f1@j{A&G z+T7lY5Z{SNw`mK-dJAyuSWcX)vFYp%71h64F-~8rlQM-7U^~0;Ky+gsVOAE~i{|7d z3Szz1-0hG8-cti^{~|3xD3gS{KXZNn2_2o`$fHpj38h7{a?A}%WVd0HOnZ=L&U`ZZ zp@Cc^<;b`XBH>R5zvbIq3qSnr-;}ra=0M~nXvhT=<&xUVbxti+Z|o$g^vcs#W-=yI zx&w=V|MzoHw$6)pI098a{|dQ{&Dv9gEitL@^?kaS$EBjC@wY8WL1LMZXRN3G=|UeDCCkUtf%k#k7r?$*?=b=vRcFr?C+CT}XC= zjIaFS@F}SG$;${92?3CkkuLAVd3{TtPx3?C0rS(Wx|B%4cmw4g)s3XlJ*fwoMo*pb zdGz%0Es9#6kJ+^A*-ep_1cuFqCa0MFP04cOCq~$9KbCBAt7w{?BQB%y)E=P^)E&{q2 zP?)~2Krq+TxO(NIv`>UI_e8z9D*7+d@Hz{~$Ki$?EDY$E2^7G6)(>QR+gNeG@da^^ zeyR}B@~iD67DK-D1Gty9+)s2xK0b~CkRE7bMyU|$)acQI02KaVUGL}#MLx>8Q1yax ze0c@+`tH8W4Z-OL;zWDIOX4JZ2!rC8kxhX<(R8&Pc`b0iWw5gj+pV}c1D$B%Q)cHjG`B_c2G#ZqI5YUV@9~={ zsQ5i|`M@az7JCzMKk$%%oxO=RkrsANmRG|q6yG~q99l)YtPnJiYqho>rp$*?B+@=H z@9pbuyOaTXwH;NUVC)_TXI6JwIgv2QMBD@XVP_K5hV+Mu;o$2)Jd+|i17M9iVt9tO z@`n7?B%55))vWZ_r+~9pUrAgN?bQBwMkJkw>GdhOt)xnrxR~dgU%_NS2QBv>k=3EQ z|0q+jr7{jbMd=f5;nSELBjoBq+0JYuHjd+I{IiWE-)I{VOOVz}=4XJzC~P}%2+dr< z?e?sH4M4W%q5%U9AN7objKY<={ZvuEdnoq!lm>`}pc)zI7g`&*g-fkPxGmwP-7LWQ z4%0T5L9xZG3#seV4Txoe`w;ncpN-NTgX93UBi~00!v}U8l<_KgMvWJAuf1=U6*C0x zsfD$Dvh=@aqD0lS>p+DPpwVH48oR9uT9wbzYpts46vz((dz8Y+Q!i*4@MvSQFsP&A zM?HQ#$tB2qH*&9G862Bu-$0%)7N1(eK1WERt3>F~DDY9KIe+_5 z2fWp1>~$irT3OUnbc?zqS4jL_T9Bk_;=BrYY9qj#80$nUt#wU0s;d) zBX)enP)~+JHoL@uc>zM!78svG?{ptquIm-8FibEUG&PudB?m-pLp-e#onmMG4QjAB z2@4|PB7B9>sL#SSynbiw3b+lMVmXK<02GL{B0?b4WOBKRxlJv%*ROWYznL)9ne%LRk zm2N1F2a&=T8#+weh@|p3IL_r>y6D*%bBUGecV?*^he|%IH>xMu z`TW}Z*)gk3P~#PIz$3Y?b09DZs1jAH&@-3}!eC=u&F%uQb~WdBF%j(`s=Jn>R>%yu zN?I#XJtRGLr$Z*Z(^VZK@N-K^efB&%(h-XBbHI6yD?4k2=|mHtfma{R8o=nm39w^9 zfi{Yc=#OrUxK`y}lto8jI_3)B>CDTZ70mg;RGqBYgODNHlaiV6Q~6Ir=2WBvbp{ko zoAG%viMp7>{G>79rzCbUTRA5hsj%(6kg&pws7Ib$q+To?HH?;i3Eyg0CtmmU@_6>8 zDQqm@QmZ;jG@4u#4yWVMHLRNtO?9GrKiXqd3+96rWPcCeq*~es4PGyjei6N2!=98$ zaiOtVDyf1{8WB@r#o2hvKQ=mngY)7Z!I%WBXrj;LKVtI%65F!Kwe0FvncYzCQ@cHU zAU8eBYZL}1qIgwd#6xlph zr3d~4l&yFt*YtSqA}>B%rwW+7YUav+FKPau=6E}c;zeqA|F*0m@D@S340h}*Pz{B# z+p~r%;dvoas-@wC^*aB06twr}Vw%-ASlgKEdGOGcZd&K7!RnjoxLhkb(U>l?CasWq zqQUyEDxO3VP;SyRUy0MA>Etkqpu%>g*m#$Po$(bX-AJ0&Q{nLSPw__{84S%&KSy*` z5)v#SI8!j*j~5Ij2izs?X8ZZF+#;QHMCL6ruMT=Xf<3-5JP6mAdiYBP?`IF%v7>}o zCTAitU-u@=)Ygcg|FjQBr!Sximh_D+gsi#9r!4@P9^21{W=C+k0t~m0dqhRLZ1A0j zuP%g2ljDJEwwY($STW?}qOqvTsr3LQ=Q(eRa1Q@I2 zTbG_Lrd_tt8Zhx=qvckCXiqYqUXS6GF_>dQ{9?u3l(%nxM0kvxvnd>g+~{HAa(3bZ zJ^EYdF$LrNrn!C*_t`RJrUwRz(V>wo(u0mnbW=u|7h(gvv(ZbI+LUUG&^JTm4|Qh=8IU8 zq`S3JAO6Vu6Tm7+R4H5Lwop0Jft^(9WgH_Ee`W3K2J4NVvF-a=)i$7Ss+PTv6f3!! zt+2a>k4rct|A@Y=HiW!EsUaqkSbxGl)cH_uvrC{~cKs0mU9}xqWZ_Dqh#&`(0?=e# zO1+B~OP+i3b31MAeZ`DiLHuIX=!2`mL-+Z4ozKoIvx z!#y>vx+&hSI^PHlxjlDdhHX7Z=W1Tng)jJ?9!0U+lAUD4EV<4+3}Kuu|5?U^XfL74 zhE6PimTcdXL}aop+P#;EC5qsZ`+HhW^~qON$>dRNz-gPmBjo9UO;b!8P$gCPTr)1$ zBwQxD_=#iTzV?r+9J!sq(o{@(*6kj}Mj2$h?w%HVIFuguo|UOXgSoork|nWSyEPl< zqqp9Vh+9D*zy=O7e6k?=uJ%QzK<0LH+zR*cpGcG%#%iUO3j)PLR%yNOBX*%q6-TR6 zy!ONoG%3CiLJIC@ZFnzNt8bHex%itSig7YamCXpXWOXS^A1Z$Isz`b*W++nc+g=jp8l_PZWUMsXIlY+w z9;puV2$vs{u>N&3R`{F_$4EBRYM7puo7`*#{6?7~?#FWnUmkdyXeZnQNG64!x>%wy z^W@>bg|7+LBT9G%v#K%}VX*@_pcm6g=B6{3`GhEBjeic%+muc1L$ndPbtuOGM>tY~ z{=1NHMTY1O%Ed6`+{P-O9=WLtot%?dND>*S0R5XVoQr_B&ce1{{g+|YdyLW4KtpJD z2La)SOuuI5u1~MlejEI=vP%iJ?c7gl@mGUg;SS-If%&DG}wnX@1OeU3fBE_{t zPq0Aa02vuy`O+ABeC_bQoN2;XrV^7;+9kg$a2U_w^inx{#JjwX&7N_;7E+h#^;z#t zI`LtmNK#L0ph!jI2OJGIhB!bVK8JF1%gZ;Pd;_}+g0N?vl24OLU8S3oE${ke%?9kv zT5yc#eYXCE={m=GPK1&I_HGy?Tbi18!aRrq1+V?$PHzTeVRYE;ZRYBc_FAQ`jt5v+ zEK}&#M*8(Sf-AF|8>rV>8N-Ce?14hh@KT5j9x;=#T0;?yz9k0{7*5XY!d@iXld@yh zAt6(-evxy!=oFPPF#FOAercmA{x(?jBnfdxA?a9nt&=g7K`2}~BX^P6eJZ451q~;A z(^`gF-Br}kV{{;^C)=FsY%}easPBaPZrg6dSHR=Ru=g)&uN_BBeS9Jrf%+UFG=19>I8LwI?(1s6bo|M!E0ie8_82OO^krqWq&pf>zk zPlozUl&NyYMTwMw-+_M`0>=^N^iBl@Da>rX=G+GwN0#W(^c?H3<0T(l3h}K--#TJVXQ7}r@+TwS__Dr zfPZaXW+z1VYI05a{`%yCj{N;sPMvKB zw!&!fx-7$l;zUbFZGx02$-b^C+WXG;$GetbYvL+hRQQen~{AZVNJ)KqKTZr0{s^Vv9Er{Pk07U41UB(q1#Jml~<^)m66fH3X?+uS^ zOoBp0cmsnX^l7kkO*fB|0)>O`?Bjw;Iis+Rqfv&qIP$D4`&;^sw56ZpPXapNAVOAG z*x|mEgks^qg+p$$O=ioa7DMHRadx1>x$Qc$BQ(yW!hBwmnzFVQSPBrs_S#K)!6NA` zYHaR#7pEH@ct2~W%4V#Sr5COZOz&2A!Wsu1SAeRtphi<@?H;TEIST_I!Tk~N8w}_; zUf@mWG$_(ET`bnNY0UwA6{QtRH2($CzW6l?x%=?<2PAZ+1-Hlpe~OtC2G@trZlW4n z&=_{2)rRe=xmK8;8Gq@Bqkk?jQfv$iO>fLlB-L}@t&Qk16oP`?&bzzu23!9Q4Gktz zv&51)cwdiG?VC3(Gc?Y(c+Gj*4YnWZK%k5K^8MR9Y7L!xP{H?>n%UR$faP)$UyRXR z*J15E=bT3`BNsNPjCvlQ>mE$QP*9?784EOfM9VEj>wNGlsHlv32K4icY|O_kAP2g? zcV)i!#0w2YzGDZqG372+$0A$F>sk$|G+U&Fy*>SStDIxjIx7Vr7D#V&kbUY$7E|Dv z+%<7Ptw8p%4;Or%hZd|7+RocyT>)Wfi(hoKDg{QHzX3KJW0v%g9oi@vRdvd*Tsqi| zzc4hizE`S}$tlKk9xo&IR+%2fkb~5Ab5p7xcGQ^Yq^%JW2c#vV$OfE~hUl^)7y^@U zT2SEiPBSR-FwkUjhO`idIgiH1-Y^S#Dw|AGsu#W2tni5UdXCN$zrsBXg#@dwuaqj| zFML&YUKk}3V8PB|*S^pRhIx4VuKZ*z7HnMv`h>`bAjV+khDhgGVWgj>K(u8LW}F+* zoUZ+kSNW&L(JEo&GY+wFqbkVEOg8D+;WYv-VKtQhyK}wm+3cP|ANcUi_Z~=C$Vs61 zhK*g|)2L?tKf(2(5s#0Y)8#tO=(L#JFFd0)ese;JomG8|k|ym#JJX8bC!(uuk?gX~ zXZ*uZldVv!KveW;kwlVj)psiosI=JgyyG~##i>%YAQ+i1mrPGS%FiYV=xGOjU>9!X zDRA(9$gE&u34Omf)81*}8WMgN*lNyK1*`;^^r(TnWQ9DO4Y7oF7@h@Y_b1_Dh|L<^ zp*g`MkeA6^BP3Vl+rsB%=^`!j8`ALA)mh>l9&mc`%eUppT9JoUJ}_6(oZ@EI?sEAU z{zQ+VE#$PS`|xe$5)^`n~Pn z^4>b*obf0h+`b7cW+nti)_}D7i$2TU1-tS?ewH3z=NA)>{e@G*Y#)eW3xhrgwSd8? zg@%`dc5he_^FOC}WMCSHiR91`AZ>S-j36mz#ja|s3lKTy_H~rs?y|xUZd>f2!a>D~ zM*N1t)h8i7PqPKc;tO@!??xqKmLxpfsxEcV_FsF`^f#j;#o9^-QrFTfp?Ko@kB&5f zh$&a%KqQYrq~>M{?E@Fytx7~{1OPGMg&m9OFI{b{g!?x%xw;Mefix)@7L}ZBsbbIO zLKMlyMS#?lc5b&k`h)@I+%4M+qPDLQiMuTod2?WMRMj)OF6& zNNXs!47QwKKGfvRy6&|qMCbwbO(o09J_F8_lOtR~GU}%>Ef}I3uE-?kZ{5<+0ulJ| z(SG)J$<2_M7ac#Xo5_;`Y|Y};{J%dX%;Nt81S~^)3T19&b98cLVQmU!Ze(v_Y6>(o zATS_rVrmLJJPI#NWo~D5XfYr$H!?E{FHB`_XLM*XATc;NGBOG;Ol59obZ9dmFbXeB zWo~D5Xdp2;IW#mNARr(h3NJ=!Y;9lK)Nw$ZVZjw(*YcE{?lJGO1JqYgV($F}V+{oCi@RL%4&?FX7(mPDSMC$BP$aNA3#A-(H>;a%EG7$v~aaGb^@?5v9NF;P*RFJ z0gYX(>_HO7E6+mPB zkDzSt?80bb?EGN{f-I~+K-!NGaeD_(Co2m}m%lmK85#d(`Wr3A1duZ}wXt`1wy^>j zgUkSOOo~hZC42V|r4@k29t1D}S{mD$1MJNK>OgIPhMJ_R8bDh0vxc%7Ez?J0HCG1* zd#C@xBCe*cAVJRLfuIlk77PF-^$+{sIvVl7U}XvfIRpO&N!kC) zX!p^|kDw2|%l`rP(Fm8nIc@*t4sZqn|5q7HW9NTj6_k|~0CvV!AQvFW7-ah4=wj^R z>I^XYNB8jsno<7?AP^w#>g4pdhT?yloc>Rl|AsDR|FJTCTW?=u_y626W00$}*T41V ze=pnA9^`E0?Be{dj6i_7l`Zfudgs4;W(E33rzol&ZzJ~JP@Oz{YQ5|OfDWS z|9Jn+Cn}-vK}BvJ02><{faQavk{~m2dpo-i)XoTh+b3c5(I*#sCr{@8i`OePZ34xUxU}k0N@DuA^#_vwHvJa`X#N>g+K(wUvj^FF0?dHs2+T_ME+2%T`Tu9m{-c(ZtF5h) zu^o`+KU?~re#UlIwx0jX^FKVafPb;lDA_yN8QcDc&B|HI$^&SoY~^BV`A--BrIvLu z{-C}n$if!*u_yniH2zML?FVf?jvlMOCl`Q`m5cj7Y#)p?wE+R0odI0D|CoRuUHA{Y zAFcn37Qig4pd>G#>oXRc5*WIL}2;g0UIYLz?=1h(q=%9 ze~1ELW&+u}e1rfTTwQzt=Jrkqe>ant8^CP*SM`s?%EAU%99%R&#N(w*hKdnSGq~|K_4- z?BZnQp~vz;H`WjR$LGKQ8T_vTl>aj+{}wGKX7Az6$ic}9U}XP5#?8+9u~=3v-~SbA z`mdAcAEtk7$bZX!#~uI#dH_ukmgenE`Gc*Kn?g(dB=aZBpecEoPAag4wB_QVmeM9W z2yi8Gw#b0O1%WLA=~M;w3Nm~Ke%}K@McS0XShjC#tx1&=H)bj#+s1y1egr6zqNCZG zOd4O)6&C}_y2xk`<+Ag1iaDm!+v3}Z0UD!6;=CQ*k1=e&-_fsrkm;ATt>i+x7tXRa zV>;P>@>oQ}?<829>;!jtf5eQ9HtrQ&qMI?w3&kFlgK_xTjiyVVoTsjR)Z?Afa#=o1 zJR7mD%Yl%=E>Ku4lBIe^P-v1yRH7G^m5&APoEK?jYm+i*q_9}^1(JE#yNpCFsgdfB zN~0=~(SsT>imtf7A=qJ4kTBe-zBQ>GL+Q@|>mwU>{YinaQBHINnrhYV?_c~m(uR9g zvb!@wt$ljRxj4k%3xe>ot3`1M2VJ zf<{h!;6V0axgV(f{epLS|A}bNE3+LpejfMz=-uK?GpK@Wdc@1#og(mjvtx+0B=?tK zzvh89t|Ok^b3sj|w$fWjkxiDO8!0Rwc*Eq5GJABKdr?53Cbn>a?yVWJnYh?``vWV6 zb8KWziDp)xC~6cIRAZsjvbM%>x$SCrVun!Zhy9vN6H&mGz5lh{f&jP5cthnT{xPrj+1*{GE1@FjwlfP4gLS zlOAk!dBituh9?`cRA7?t+q{NntqrVa074twIq+2uXPnAVvzPIj*}_f2LfPM9AASzI zj$vFBy}5#paR(!unA_n6Rt=mmrHI~3*F$50R$pL8B}H^_iAy(~PFf^1c=H+pxv#hm z1{9&&OpQ;7mg6uZ`4FkzLP|$Nc-X%`@>xuaC_Z8;DKwz9q*Tzo_482hBP9?NP@zWP>VYmh*XPQu`g-j%*!lIoOl^dMc1= zV$vagq`RE+XzSAL(Htqnp3hD{azffenP;w<<~aVRt_U5)8|pu zotp%~+ja1wts>?hTO~PF!#GlnHUV0CcMRBa|K->|B*y}qRCG9}PS&E&B}z~(=(K|K zWLG3pbf_Mn8e6vmaqKrOBr8BJx#Z@k6`H4`u7KUoiH8!FZv`Ub78o(VIUp=Oc5CsJz!`|DI=hM!adv~j zO^@QTDMwiQ_y8?H(!Z>wY+IY%xhx^h$&AGGbXPCFqQT!t8q5tu#}=qf-9bJP>t_nbizQQrj1Js@?MgReuJUrSo^6&=ZXL=V3{ z*El9bqdok4$>MqKQ;3Ji#wXYpci~d*Jem1ceES-MF^D3s_h}~7HZi}B;RnmF<3G+? zu2%=tPu@n6wzz;=I3&zYW!uqOg;)5y*}4c+`~JnWVf|)vg|G#v3@}7Q?Y$4^MK=6P zDc1v?1?||{>6h+#JlL@_)TzeNaFx$93MpbwUyU)>r@@=x8a<9R@*}6Np{gf3J7uc( z<3*0yXVL89d%-0~M_jbxuZl&H|Fk<_xOpT=e>M`6fOHP7H+4!u-nk6S>}`0UT)24D z@9YUi{cf_j*fDn-rtF~B(88!+eZWY1Uyz6lO-hV@`Ki>YkuD3&yM(g>N zSKU+X<8DOxb!9=AiN=4AfN$_n>ApU{(JzaI;V!=~QixJtAOR}m$6B0Yh(5$_j{vZg zR(qP>^j5TRDAh;T=g!NIOJKEI0h46nurzN$5PxRo*)8?@Itzal>_xooPugAtfvZ7O zpT55?%{KM79E(uM2Ypl)jH=qYvei0v-%iUeS_rh(;BWS=gn_dDKg)j1Hw3y#c=Z;h z!~RTtR1$<^!M_$C;%1Z2s_I|vt-EKo!+SzfdQ)Oxl_k6GPjn9;@FG$|eIIG4K^vGnOq%y~Ll|KI44;NhE9$#&^5gn_MT_audIg_#P;)f{n zb1TAfuJB%^mP0oj*d=OaR1ebp&-`+ln&aE725 zPpLhAZSwba>ZzGi+tM98>cOyxZqGO>V~zS@lJ<634C4_?|3~OB8Jzsde~2GPWd}yy zX`i1{1T{Hr=eqbaMa6?>U*qAdvrIs#JbeE^vAf|dzl|f!rQTo}lK88_PVTRE;aq=; zMH6bxXhyMSb=uvS26KG-^5v0w*VdpjM^W#A(6;8AFNetQquf6!=xZG;{eL>D}ouzI1W2qeEs&(NHUAa2WX;t?IC&o@-O+}SLx)TU{x zQFDasGXq-#z2lZb(`!aAN6j0#8~3hq>KybNwTZwE?MN0or}9zU5>%B&OyjNT`mHB6 zgHtXOl=$?9NC9i85?JWUr&EKvg1RBLW7k(S$gJ9VYF8BI#rN7TBE0<na4(z>VHUlqX@xtgeIOeU@FsR-DJ4HT-Ub zCR-!?G|l5=ee?w2n}~}f#=_T{BzKhc&Lhr)%MF=tVMrDxIUW^E&Tdk`qi8L$T3;$= z2%26K<1?fYT*pD+yA1n9kDk7JnZ=mw?wDzZ$!87)`R7Gaj)jL9_7N-CuA^=+4x2bo z32X44O@M#r3gl*3{l@2ES+sXk=HMQgvPu(7vjRP)dYfqsdiaw0+#Abqw3g`bpak$8 z?)t@AX(aNR9`HF=LO28B0#W=fc`;&=J(Kyl@Y3&64_2a#hG+t@vpDtV73( zW^Mz7kIVi`jszxLKP&cE@u^^Hha08aOnB(=Yj81g;*3(gz+>mmi!tiR=i$nlln!A6 zQIi{8t>jQ64g~IjWSxPzPtMP#`pwit5hk(H%1d{{Ox?d+4j2OGVy3iy?&JEHCF;PK z_6XL?l)_;ia^z zzY%SoG-7^lv|X;F;2ww?lLyx^a4TOPQ->V!sCP5tB3rHYU+`(<*#E49@H1B9=!V`7 zI`4FvaxSpE1%e5qXKUw~MWxDV1I-X z(p9fudC1Lb2k8!23B|eTn6b<;ssvIPl;z{_p{)#X`AwgWpkug|AGHR#Qv8_~@f;6d zoYG#1-6I8{ecZ^OgYBwkXnpeorR5$7G=gi?3r`cFiS_ofnOomyZLY`qS<{FIN`%`u z)f7&xV{RuOw zl-S0^K2s|B`Ss_lPPm~Lr2u>-iiHA^jNNCQ7hx=2ym`Ll;Z?rGCf%W1aOwD6%+0DV zTr*2I3W@o-6889p(P;TaLa$wNSg*)PcrtC8Zo9QC^)dkc=$^={JA(xH$GPCFPW#@t zvUu6|$CDvUHp5-xP3(|sU&4ld7PxPom3A-D#u*21#Ap23TL8hqUwY)@GjJlJXZ6qU zW`Z2HAu|!nW9>WR^>XcMT?NsY_@2K`+3IFK`SGU@vQsP_8@m8g;yy#uDW3;V_1nI| z|8i2FwA!#Pcs^X^(SW`zj2Q2UGzGW!{582ZmUK%!d%#>-Var2Hq5Xr<9ovF9FEI{h zv=QsF7DNyI0B|!U zi*P;rmOR6RJ=U+~Tl}}v97_s&F2C>~Lu~7~XMCPC4$9O@%eonP?Hp-9+#JjLV?%Qh zG8HXtgq{ls;}{IN(s@t;k1Lm3E2e%)3_VRYd~JJyzI$|}cGo#KdobNNDJ zPlQE%u*Yi}CLfUlni_FmXbj1p)lKnIYe>$5`{RWUGP?_thuxS1T&zKu|wN$mtGi0 zn-r{a;bZRoK$sB(4pC>_imZl=A+;QXVx~9s=_I$94bs)0#lJxJJ|Gt`Ux>JM&8Waw z6{Qk3a|Uf_upTY_%mhP+awUPxcVzk&q`LTrZ4Qgz;9NV(v!_hU<}*ZTGkMNnl5<7B z1(>@U3R4JhD67!##gW^N)EU401tKb9vB{{6NdVXp-)K79m68oot$f2zR8;mUG8LP^ z$7lL!I~DpKfx$h%r?>pG;YjSD<%{I-p)mi)DZCz&lgwtK&m7|j zgCtG@q1yUZu>9zL-WY@(Gr7|ekZ^ae>#I0jBtP-g@!FAWob;D|ayp*H>o~!{;e6V} z%tk&eu-zXAB3!JYse#>RM9@@qsEuE`F%S97Dor<(zP0t*ZokE>#oDsuanbk7$z;q@ zRc9>qsX1*FwIWytN1qYXa3n2ax7T6qIKt+-s24PlOLBGRTKH!Z8eIc$;CA=MCOsCM zR-+(WMEndel5<%;o-`So?>nObnv9+#J*+7suHQyrb0G$^sLWO7qUJhLO)^?QLxU0`>Jx zAztLK>pR=XZA7}LRx|9^_uxQJZFuQWtiTw#+~;a8{)iN6M{E@|0@<{mvZO7Pq}Cq$ zLrBG>XlTQ`bfhsM2x5UPhGd?Ke# zM&79HzTKRv-zD{@X81CvZuov_GHMeYPU7KoRtUW2YYyeu=`7tWu<{NByyjozZ?HW2 zv}cE-EzD|=t#I6I%gfFpz$hpDlUHWVTbPB_e#hGYW$hl{ga{RKU1ZUyXJeF0A~L5H z6>k@vt-d)br)p3@Se5Z2E{ADfsy28C3*fRV+%FVu*2jWpF-NPQj)4x;T)8dSxa zSle*-2wrBck~4~98b;1voN71c`a@lAooj2dGWC;|$5-CB&oRhiU@-s>tj?;UcWe6d zP*TeGd8bJ)9#`{pQP<2X`yQ@igDVRR{z^Ohh;ta-O;dq@kds>{M;5h1G8!IfTBBs! z1kJ)1iC%rA{Y_fhKRq#g9^|@9<+xrOBv^GqI=xtje8S4OqCVX3r(E>~Ej`va7 z$Hpkfggz`1vT$6fwWVmI_qhE{vN?coe zMxe*j;5X6D?dJUQhTiz|Y(erQMSRV~rO5{6$L0Apaf#Bw&C-%%HFY(v*(C0H6Iqda z(a>X`P+X^jy35|{Qz}xbJ-&J+-vb6%*Rj^b6@yP3&3uNR`k%&-3d|b~VmYaGbpp6p zjRhO#(A7h{*H+b51%&rvRPFp9zFYQ*$3AFyEx9qGoMrb_9X}*Pyk11$4_Fb60ing4iWCS;|Qd-NXmp*?tW2Y0+%i*`5vQb_#VpyZEMXCL%j@T)~XC8 zphVVOHC%r0>n=9qFQhpJmO*dTT00MEcCu(29>1?9JC@WPwPfmv7%_CR#O_M13d~`> z9ZA7py67ddkCumD)@-9~a+0aWkD{LJ&eI1FX4D6+FP=lnRGJcg-_uQI-+Ah?CL+g+ zNjl{zy-;Y0H3+2&HCNK`N&Et@83+*6dU_fkzR;Oi;`?QwQrN#E4OUP~7jC_;e-2A~ zSEOFs-vQ9>hrOgcqqP1`6#ekMKncvg-eMW)Xtq!~!`+2N;sge4WX}p?rsM}GBjb6!cj~ zt0e~kic)kK`V?8Tr+k0a=I!0k)5)><=+T*rqB(W$Wcf!Tqu7)eLCXTQn@%$JtniT` zaz&GKJ5SfX>C@i*-rMP+iGjP;gCSn_|MJo72fWgDFtno-8UntjBDP&RHccsjb-y z7px7pRNN>29PKiLar}&UwWjGtai@_Zrl!GzzGyb`EMUfS;tYM~^0(pwepQ%w{1Pu31-c-S&T3?*uXFFKrI z%Z&G*gN6f#dNlRl)14Pm0mNHtSC@7`Gsn8S-yonpy9^Ywo)mj}%N*SKzfIh#IX3%f( zW!XT9$A`j$rXiofsi+D#Udza6&w4z1(XAD^X!W))c7N+q=ahlM#1aoOf6_AZX}#L> zq2u4kf#D1H4@{#|6#)}&@tf9ujWn(_&BL9X5a^Ngep3lwJ`Kqz4-{pvAR`6X{Wi!&v5u0>m3d%D!7 z7?It>spoUJ8-|jefdNq<39T!jiKU0$? zGl9wI_cYw4GxPAZ{JLDC3w7N}42h)buGdVJovFA=h1ecQfwMb_Q|S;TPODQ@=9|N% zD{qBvyE3p=qgLSIultBq=ni;E>Bm8H2|*@D2puLg!u%+ePum#-TjDNFxv@T=JyQf& zXjN#Z-yNd*=+!Gt5q;@R5f%=LtX7)bXi3mm$mx8UU%Pys>)P?H!u)#o<0kip$ps%) zpH?9=z@Y7WME3_wRW8Yn0wf2M&0HbIA8nW6q|iGWGPgqZ$4ZXqJK1n0M6!p~{B#Ze zNEV^O?s-Qi^Y1OlQ4Cgp8njBMp+cRfmK2c&@wb=S2tP1m^NYus-78DbU);QeN?9bybOPLaf zU(2sx`{J-}u?;p_{Jkc?8=y;^1?=GjCf|{MpT@=Sa)Wk2ex#8+mbup|2~Bxf9dzY* zev0o_){r|kgD3I+UotV4R0)q{k7RvrMZU7PZ`Qz9qnk02RSp)K_R3xh1r&9}Y1X-M z<(GR%%(Fz}NQgS4EZKe+xznFz-tmurZtl4?>XY^{XX|?718T3kLEMxx7OD%LuW;dl zDNs^1BNtC9do~x(_v^D5C>gS4#d9dp3pIbi$Dvi}Dv}5zK<|=}V*Ng6E>?{3c)fo( z<=Es7mL7_tn5a%WmfDmHO=NmE#Hm;4kP(oAlsLmT5m#|;S{h`6!T0Jxw;-@&q$RUQ zt|O+I+wt?tg4uSmVEQ7nZ7Hq*nJT(okzb@hBIHlA*ZJW5S% zx$MOuPV%!~AnV>sA#uT5Z^2R3S>5JvVQY-K6LnqjOo2tp?W1d+hcr&d-p*tb2*Ihk z1@w8f=b9uz=gY30coL4JzQLXJO8qBDJz|@Rg_?ja_hn|HDE|!P;W0EKJD3BWdkQ@a z=>(#fL}1oXw^|%7*1d$|QGv@~cVXhvqKdxtNFni|p)SJ1e9at$D};1AC78XGiL#kL zcfPe)*Y%#N^{X~JzXlN=>?aWF_2NsVSV>JA)%VTvWGW=y;)z%*aLEXkz&VCS4IK1k z!N3g>RCgneGG~V&i_V9K5sr0Gp>_hAp?X5LS^iKCVNBT%U172dfSxM9;|TEh{?x-YxZ=lO?@$L;KdxA@?)y*q^U798|C?PD!z3qLys>>@W=(d!X^tUU`fVpv(y?BqIiD&iCB*RE zfwkMooTS&;S7H~o1gvo=!Eg81J{@GA#}XI`c`JT+L!4#?m0Crz=I$=picX?a7VVuKB&EA={-VFYn11jA@cOMMEk7gtM zU`+)U(LBNVu+kKDVljhOG-_Oeb1S@=r6jcwLAe~6}?~W4P zoxvl1hV&XfwHge+#^+Kz-d52ZNDTHJ-7ik+H0V(7$yNyaXlT<8kK7Zg;WozIa^ft6 zp&--++!Ix06lJ0DJ3R2J-ogpLdDI+I)Dj8~B}QswBkNuLnH60wf!q(-KbXgO`VR%OV+zdtDp-j8BQs~XkfTO~R2VOM)diR)dVPtO0o88ypv@*&{ zOR_rpjG>%OilKqtGvKu-4dte8)Alb-uxTb+q|+t_c!of0DTUT}1m?8oAubsfq-Z7a zdMZ*_9XyTZXr#Hd@#&|_1bzO^L7(+BBTq%}QJG{0JP;CE-7PBH=JxsGC>-LRcCUuZ z0t7FY_k~sNaJ&3QOO8QC!y$0| zc@aa&D;5B5(HS3^*$V53nEMHQ7p*EXs2K+nb{%aEgPNK z+IZd~!8{97pH%m?=Iz70IuHyd>R!Mg@<#!W%boKe3} zo48|wYaCUHA)fethbE^8y@Z42gQL3!z8=^YAgaqX_-I|Oy6GZ>B=l$NCZ99)WQx7I z{?^se)wY)r!_JG=>!WTa7&^4zkQp32H-ADRA^$N6M!6`*{qR*s{i|fh#OnU=;`mtX z5!Pf09~t=Dq7HqO7$UnVJSdYMV21u>i~$kqn@J<$om^Td5`S`>ts0@^dwKen0^d%d z`J(2@x$lg8wU zx7Y^|?jJS&x|cjE|0S>S9??f~XRr5webspt%EjD>=Tq_Sc}RGwUnEY=Rk3WF=d2ta zuFcteMEp0nnB5t&j z4jP3PFT~_9TTd6UD@aT9Mvu(^!>h*~=L;G|AP$f3`eKd1vt^UJMFA-;n0$^Ypz@7> zTNu&RR337f_15i9!gY`N-(D?Yq~R$IhH&0YB#S5Ih8(;pj|t##qP!4zP7bTJz$Jx*7-EZ6?o;$ z?#WQVg)vKaxH8q8-*-h>MsksT1q})GGmg>BA2gmpkep*Tu`fh4R;GT+`J-WJZ=stM zNfu6DA)*on@LEXyNd-fD|24@;q+_YZT#8v!cO4uQ)T%OwDh1Cn4fFJm2RJOA$vrj+C5)LmfRKQ^(w>f#Uwd5T7w3F zR>PO z*%vfrbx+INC(<-O-L|hYIAt31x+tlDVU6^E06yJLXRO@BS&o+Hr(}@{c_Y0jQ{Is3B47rOuiZWK6aZsZtThXQp^vy6zWrv?pPw)xk%i^oa%>|aYpW0XUMY#M~ zpJr(8a`nJvHdHY*iRMR^ZHg6qdnPAygE}b{yUU!zCm1?%vU55jr6+#{2&l_V*;VvG z$Lt1~xo#oC1YB+m%QY%zOeJ{!_9Fjm+T#>}h;A{#hJ$?LGRK{?4~TjX;gkmZOlAq$*LzM8I(d zS6Ux0TYR(_(C0t}RdH*p0^v6Opcf`6(V$ZoHo~#j^{zsl9NydVS+`|lZ(`4Ov!Nfn zX|p>k5f06d9}NR*D}!G8nuqvGv*)rv7G>*lXiaSXWoatV^r)xEBemj%kjFlXillr7 zP-4CjiK`g41Aa1kw?4CWVW5Ue3B^UPZA=tXW_*KH5QXY~lgD~*djbD~Mm)(7PF-*L zs`*l~K@fXF9=v6f62RrNuSFj>2Rk#@j>w`{iolW0ilVEMcq+ps#xj@_)$ok8Ry-@k zg~ljd9@k2HS1(UGd_5n|Bovn!u;Ip_ebT=rK6d;%(=3gcWFq-VMxRI%j4hP@*9(zC zC89v`#;`-?#SPDm1M5_-K=7Z+q%NaFg~29AzbH?+y5-k(z6i7EI5XZ7JNa>iE2QyA z=xse-3ORC4{$-S<>u!-}B{}U)2c05oa|}jKOK9){|5pLVa>@aiZ8E5nPM)tJ^Iy$^ zEF+Fn+yqg#j2^;b%qE-fYclc+0!Aq;39Zpz0($0{!Ci${3_DtQ0x*+&pTbVZY{!#Q zTXG*s+b&K$7PHweC7=XR&$!xe_?X`4*>#IEazx~pbAPUCp&*Rks3(jN{eEtZL(?ZZ zCC06FHC#E~!3WY5v@)Gn)a!>;k`7kpYcN7{I@(crvLMq z38LxNLsoYE-s^WgFFG7yvx55Rg-$Zzu0HLo`VP$726^LC&jBf3xh8streGb2sQyMi z=Wly+Qlibf+Lwm|D+(#$m59fc3^=z|P+4;5KiK-+g5b3!f2#&68&tTb;DBBjMvfUb zAa}m%T4rIjAq*bg*gznz{L;f9NGLUpV?-N}ikxnrZj*$kR@fYen38dlr!+1nRxfg@ zV7i?D#0meN?`_*t$@%iSeBaR2+hv8l#32AK8x;!G9Y=@vDaX9Ls;uC1prwDC_a*G8 z2QeVAF@5$%w1DC3`=IK~IMy2xOwl!`Hl8+;bQFkAIpb7JoEo<*%$ts;Q$lg7=KRl{ zMJX;0y49k2YLDNKgE=WM7Y*GJL5?MUY;57@ZEgfVRI@C;wki&%`Gcj-F~U67MzyFh zBz=D>S|c-OVq_TiaqP*Z=Y>$s*E^{i;dqZmAM9e&iQ%pjYAcD(BTB7^6MjC|AFCO} zRd!B1j7GV|YA|%rKQFn2as3uuW|Bf=IrSLKw`@y{!hrptCXVj2->Bh9dywz zG2^c8KNK+lcK%mnOj5trt5MR6ccZXhECDXgda7xedB?a2yA2`%aOG)14D9f-bb|H5-?Hk2j-kr4*l0O@1^CP$TZ=6W2D288 z%b+}p5XhomWMjq@5F=2OBHe$?Yy=8GI4^c-iFdAazy4A8#6xx?7bW&hQK{2B-%@*v zpkb5N;nXd2}) zAD(ij8HtxD#JKE~+3FzCI1DGfde_G$+#?m`B_PChnu^a zoRlv&dnNCk?g?ryzpx#uZp!?n?)+Er`3ca*_sQ`YEJMdmrLdM3LZG9&rFN#60}$d>v)2CzMZMr{79fg)OR(IV5Qlb25(#p+0JUXL z!K_JQG)y)WZLM|tk{+?}H$9l(!NSofQ!qFzj3xM_Q)B98*)vKQ65N|XXm01Z6XsPf zgCPjR2+&S;1@bv``dMR4GFO%cLRM$>!?_*q-X3o02fcNAhwtgH)uU|tQf;>`2vFEt zyY#K$MK2`!vIM%Biwn70?zb^TPVQYtVMDe#?Vh|3}mN@pOTma~O~yWr#)Ps;GjDp{ANZydIl_)pE43qOlhup7^h*VrfD!D?$KY z>Ef$}2<4JThn3IeP-7<*#HGC9U6e|p+9{?A&9?Nqbp;|fXUZ{nHOvs7IPur=Iu7^! z1rEm=0FA>s{OAR#$8*F^l2$A7s~w3xnM@zoI{b4W)}~S*+VAh zfbvPQvJ%ND_Sv4mwA!jfQbmtvVO8|p&0U9EcLtqoxB!Js?P@kqc4gu9Qdmu8Zz!99 zzx23mHgQs==~88Ei*Wt>3Y|j|Vow(S8BIV9u=N>c5QD}ThQ1I!BND>*W?t;3NfUc3 zkBq$L@ZQmI^T61DWJCu#1Bo=?t9*6mj(3B-`su>L^Ik1QQ4y6dP0mkODaLNXJXM;7 zCQE)B4U%-@dL3pq&G@V78)kbV|FR9CLV*TSBP-+(%5z;kj!qxQ@e@mGyZ0MWm3RF; ztY6a7YWZP1?>4EhSK)9g3CwLNgSe6=M#A2ZHN9!(z%nDVq1BvZxnl$;s`l+AuMXu@ zY@C&l5t50wDp{_Y$l~I(?cLHzj7KPUL=vWS2N$)6v&w6uJE1q`KI6?JNw!p3K~@Gg zJTh`KnTfF6JC$(fc9jw#)jkizMxv_kanQ?4Br~@iY{}UdVTWi+mfzzq8>t-0mP4#f zBGXYys{@-RTp!S~G8Fz?KyWM`sb9gmFtYYEWv+_0g*$l#g#IA=ngnhi5@QZ`4YmEV z_4U!eQM52c%F=B0n}hI`Gb1uiax;QzZWq-yG|3jFrr7lxXHxZnfRPGBPxL61O@OEC zURvi*k@qwHb0Mj+@BRjO;rWYq3Z;h3nJlL~NP~qLdEq<=I5hE$*X-*X22)zO=w8Qv z?2gGJ!(RK-f&_;Quxw(>yM-zB!WL3h8}Kr~%4>S@ET*91O zu(;zU0?jB@>6%vgT*B%nVywbii!;VCT&Ut!TanZv=!V3U)_4%O{Wc>43?=UM5DB)Pf* zSYy;Oc43DZ3Rrx7S&budPY~fjIi+Q*%AwKuu|a^A=Ji8$cr1;qzB0&uKgjgARjYzoXQq&1u?RP$0hujilt#0W zZha{CDeSi1!;>5}rvj0oC(Hlq?x6Y9{PmVV&z6Q^x|v3PLCqC@o-#o@f=)x7N+!mz z?IsaTtm+SvA=^lHg+FnjyK0NaPiEjD@!PyxQGX)+nz~Mitj=0k4(_1Ds&w$UOTB#J z+zIGwH+P?tRpM_Z{`#Bo;|gnxX$A1(&Q2|@9{>87-GNa9HKgSrw_PgM!bsKmAT8*( z<~YiqBhC-I5f1)!Soa5+3Z%v*E8AbC)aXVq(@{m>bG>g}LcXNwDLYZ{q?_BJX&jle z%^CJCPsu+bCR+`6OT;D|9;2hkflJ%$eGAH*td!^CoC2z?WFh%j)xDHNMF=O@{IZ!7 z9v^WWOe4nUtNlqEb4lMQFI17iPWgH-i*ekN37e6D zIoJZVxTu`-CjS5*UQ3xTR0E*u zmQPMQe#ZFYkv#s37}g$2>DdLFC^-ln#=Np7PUCgHHky-1m4K`g@8L%@Ri!hj%g;;( z%RYF%>FncGc8*y)ni`j!u@_|7lQAzUWDPupg{b7Sf`=rT@MNPq0*xL_97gF-IMzd| zd8n}oWA^rNK|gswFqZGwO3znM%@#QAJm+~a2NpE<-?IV(ATG|bGZMRrEE?G zCOkua-|nzHw|`q7&tN#>!?k<*i4g(Livd@9Y+zyQ_*%G?dGjl&;3<$Eqmr#IYQVjw zU7q1{fjWHS5f~K}#PFggPqX3enSj4{(JlK-)sJ(`ZzE>b(E>w3!N1NJawVR;F2`wP zqDcVkdF)F>alACR}^Fk)L>@PxbQfW+FnayF}$5?9!!_ph1*cKlb z@ocOo4<1b;3p$<=9r4|W zNIs|pH-DqTMa*BWk+M~Gwz{dDRPYjCfk`iASUwDJ#%irWNtHLLcCMiIa z$V>z=ZM$n#a?G3OCyWz?-Zk^vtF{pC-=uPwplcWv%pn`+sn};%Y!3;7sxPxJqVdKz z7A}OUWxKF#@|Owjf#;AAdCOag@ zr9x3=MrPl&aZV5u?ZqrCi$)H7_f=kE83W5}f=ko!Uy~4PnPbXPcog{LG9tng=UkC= z2Dd`^l7%Fd4$q?(zO-qC&JTUI%vF9D*Q7yoz;bUlt4|W%Va*1y?%GBD=v>Cy#YbC0 zIvRs?A6~!#WpaVCos?{kz%1jijD$LRY=@l+dCoflh3iw;IduL>s)?L8=i@OKZUBfb z!^W3W!isfJwdf)9xspTXru}8!aOAx0B+PaIHK)(fFaGWuh{3LO>R4GbAZvfvV*Y7d zf2vnBlR|7WV5g47#pNJ8fu0K{bc+IB%nS}QZ_A;!AN#?J{u|4hP9rqgP}P&V$|GwS zDqX6Rm#9~m@CXw4J@?9f*fvl^Hs+6topj9=JxRlU(eH>OpM(vrUyzmh9zNU!;z-7( zIrZXEHjk^7Ncx2erTwwYym^RT)9z?!h#Hok2HO#i=*!5jGyE)zISo%x1dE^e1-Vev z_!>RKzHrI-s!t#coh7wm5surZR_H9l;te}HawOnc6@FD4@~zZ(v6;}Z)}MVvb3C3K zPSs-0*7Ag+!KJ-Ma#SZnFzYF5Nq?JlD}9T<84JT`8~|-L#Ii-rgpeTZfk=zror5#en~!Kq48YneEAOrHfz=JijqL%eKa6*Z#g425<{ z1y9DGjZ5~$=^RmVT+X(66#SH9QfQ%4J?`^CbOwq%dv)YaigY1!zCk>3c3xO&8boF| z6WLAzrfOnW*A-@qyaTx}^g;Y|$9F$y5gg>96+}HqTDgURQsep(ADi6-x9W-jvZjPT zw|(YFuV6Jp8b$@Dv%1D1R^AnW^O=|j5rZ<#+zp85%p9rBXY;>LKgWPVqGY!*HuZ+Jq{wW3VOl zhYvJ9GdT)w);H7{4k4$|adhAg0C z#_MT0w6knxGZvP9P-gn=<@FPVQ?7UD|0Rabw>TAYoW9&00&6~g@V%=D9CV8FJg_Ej#IBkn!@o-)i{FS4NWn7b$o_q6&%` z`v@e(klbR~GG6)~oBi~DW3u`^MR^8B__O&)cIQZ(oj+l!H1pl7VBqjEKoU4i{JIVdbN?@vSW_B5=5$xR5y!m&VRId=ByN3$ zPfs1YO<;v@dA+gy~ zB)5yB^;FG9B&nx<4)rIR)XJHvh-ofvEsF$rooy^QNP)$sC|(_rxm|T-X}cWqVt+B{ zg^T`QI-XO+E`l6(mo@u_SYSdQ;9gdr|t2GW!tC1{g}|$wf3w=36ZU z&`?I+ONysi1qw{oPG{9@2QRNj0#@x}@w+eo;&$5--+}Q1+QZ|2{0(sKGSeYDiZHA! zR<`#-xv&cjDND3p=@rKQ=ny@pJ6(7y|E+&~0-h4)mr22LlWz@g4XmpTI4dO-G8)5| zWBzBjbxsG^jn*`Hf8pO!vyVRQV0VcWaO6C({OTe5i3VQTjPAS&D;Cx3$wOwJgGJ+c zR&Z(Q$+tkWi_}{;QSAGZcZ19*m&J&npW75?8an z4W5k41{tGMm?Yl{le*&n&ziFt$@9FRNfEbuWqb~9*$YMRoX+;3FigZde^z$D$`|UN z)&Z!btc^vaAP~_+0_*Mn3lvKno6;?Fc~sx+DXQ|3YQb(1Y8`pm6BZc}1!X971O4#Z z_QoxP6q^IJxfUE-ULWOF+ZG~%-Rw1R0u}ZLH|*VPhvIfjS;FuBO^PkXQ(G&(XIHth znqJZGVngSaRQ`<|IKO4zA04GboxFf6N}Yf^)-}LeiXotqhbdfns~6z!OnUoX&8n6; zD3|@~US5|nh8VwO-b?N*u<~Q?cq|Q1n%~&gP&%qHQD&)^mJqAY;UkcXZU2KLw` z0JP*sYUd|;6X;a69Bg}a%UY{0uGvZ5#5jyv|RAt21K&s z+55dpswW-Z!1vYtkX%{t=e!=^$y|3~SF&VEN@^|QSr&CW z$j6yUj;IW>1}`y`RQ@{MWqV)Zje9u&2NF+seoM-2$=v>y+nC5P&(sR-H9!15FJX8G z;VJ6*u^7!_Dgda3;TN7=ePiXKl@8ghsKWwAH2d>(s_Xulyx-FNmd;QZ)?$qLe3ZhPo6(_fx05i+W(|s$v+|6_>Lq45N?Le=-`IrR%y(xHI}4qcfNxOoBsEM5!wjFR z%0*;n7$IM?!;(7cnZfCCqiwIq|30CDtmOgEm3-OV{B)%enCZjCE$5OH?(MWB*Jsei zPaeL>oOwGsZ6BEBopn$g+qT9N2oO9tBm@SBATt9D3?#uNc!IkR1b4UK4uKHdZGhl} z;I6?Pf(8i^+#TLgLtCx9a`%Ue)Z?J*#*3?%GpduU}8ie2q);5kyI?p{84Bt>~3;VrnE?D4ZS zp`EbQMCyCpJ9-pd2?Uai?EUWD8mZ{;m8{j(On4}&HR{m%s~AYeF!4Yq%!y$qr+8JS z6~{`R@H$X&^XOUCEcEg)@o%#w zlPKcNCLcYPQieaWUuMS>zE8L?5TT_uOkMq=c}XTJot?G+Rdlh-paDJJLdPK^`redatRFV)}(#aOw{M3y@xdkXx9(kBb zR60_^y9!O3WGl_z-DyyZnD0N$qb|zxteYf3`x$)ZYh2qDk{f!RFq0n7w;eRc%K2Qm zFMxN})2kJ~rp zeFW|zzt{{&r^|HRKUUCi4WF=^G!O-jNKO$Rj22gz7vXo%c`Cg?iKfADTv-s1 zMb;H8xlJP+tsz(joU6o~D1e)?Y_1{dG9TCZj4DI>oWC_t_Q?p-4R2?NG;W-`h|bHd zbS)a540Tp4<;##5(W|hQSG^{2r;2&Vd1*LKmTA?89S}8^ZGbKYIhr1{d57U}Yc#+z zu>z%d6T-=;rL4CHb8qcrY*Zl}^}2`u&AwsnTZfU0q>mp(N7iohF8A{FD+#8Zgh+_e zh4$1VQadLkiGC_+R??~7FMRtePMQ|CTQrBm{KDs6QjlUe%zxc}m zpb(xvT;u*7-#7~;8LK7GqlPsVXWWm|$Q`oXD*o@2{a%qfYJ4=URCy&$f{srpFnx1* zoRsjnP6^k0Z9i#0iKMIX{N!`$)R%=?3Hy@qisz@388#mdE>{U>XB9o{Ue@j$wAD;h zE^nO+zQp#Za3pciC@xT{YMOO9C@{mBoCq&0k??n$bD|_H%(B#(EeSTG4_rQp9KOLt z#y;u2vE3^yLGKYChv#K}PP2sWUhW7cxD{36vebRqidS~76dJZ(#p5dVzTWe>&aBP&_JuB=%BV5FOCy$5_5oWwA5PJeletf|*V+ApMJ4dj z7Qw)g7X1wMszbU4G=45|c&<*>xvZ0p5{fmZKsG$G`$cZk2s39Q;^+5rx|AB4p` z+k6m49`-`KIa@bIHD~ED1==A-Sct+iQ0$mrZZm$^V^K5N{5PM)B(-esF**3(o7^Ma zj`UcqDBE2chG6ewU)t($bZJP7>Ln4?ol z_h9-xiCQb^aYYQ+hJAm@MsX0ORhHaDc zNUv;=xIuNF?4|lX4=Qn5Fb$spD>I*gj`}{?CZc(&?q>np{*AZ!Z;w6p=)^_7P%zd&eA@_h(A@^L(eX<6UC64_L<0WHv_D8W54;u)V z_+6RWy|&tfuHcDRMXCi~7bFB7+P$owX)_1l5_KVJQv`hiO`n|-D+6K5D`w>tACfBiH6`lft+?wS z-_>*oVj>IV-iVs;&soo(&iS&Rs+&=&I$C_A9RA7^AMzOT^mzM3>v<4urGIm?U%?zV z3E8lf-BB#S<=U~adbwccxW&CVchK{|ooxQq4=s=fxjOe&or=SyL{gfDjvUy{}rpfX!<>m(bH6p}Lmu&4n=H@x4jC{g9(@{ZL8o7ri|3?pv;26<9?^CuLHaKquuP zb%}T<(ZX0J*#UWhvr0rt1Xt8$$w!y*rXz)fOeD)^y$z44UAZU!6XSmIB6ynevd`FH zp?|j@K#G60pmO13l8?X`gx zVQR-g>AEn#hct-E5ZJIS1waV>6qeq)3T~M_ki(jcOmDHirfu=HIS1!*Yk7p_4;&z# zACP|==}ppFXH7h!t@{*pR)j;0KYt6=IVNhdQ)9DC538i&J@_*W&tPoOC@ijdrIHF* z?uXDVlfjbVEI+5=5=xPjc08H;SB%b~cXFB2?P(d_c`uq~;H~nyk0!r?I-0A;kE3 z$qtK!k3ihLQ(f7;v+*-RfR#%eSBRxeyYZ3bFI^(k+klX4quPGL&(OgkD@2;5-MCOA zXz)8in`i!KSTFt0q-zkz1GXD4g$}k4o*4pIjPdSddL$ooI~C}ECI>m!C{z5<^ugz6 z(Cv4{dSxuiXAxa^6y!4O;_+(*>avWyQPzsfrY=pWiJPFaCq6rryr(uxyU$NOMN=*a z%GWdMEb8UJu7$o$3|jp(1s4r`p^2?rd0ST(u}`6)t+Oi9sl_?C7^ezTJ7A<4Xe1g zAftv{)2q>`*kPN~tyUp&dFVx5MJ*fmc<$~1cWV7c(shml!KR!1;(YDR2Oo#Asr7JDg7 z>g1f~ul4R%JH5}aFICT<*mf6PxV=94K6W)j!4C!Qio=B-KbaWEDti93D*Q>+brNQ* zddXOMv5NQR%``4!no%(WF;)@x6B; zpCs>g2i&L0>EXRkgGMum2Vx?nQ_imr=xQlP%36xS2!lW}m`YKz#D)_UObLskJnf(c;`momX|lW3Qn`L#5U)_fjhKp;=@;*?`xJ#=9y3rh|ZP<_*hGl%TNY+gntiSyujlmEl#6# z2C?yX9p!u)1dprTwxvOjCrO>D>M=>EwoxYZnq@c*jz08Qz7r>Nv8b=4c+!b@)Ek+w z1~FLd+PuXXTUz_c0ksrqmS-$Gy=>>TurR&$Q0^$VS5gWXkwJmnbrPu? z^(Qi6V?-4#Oscpcy-GeFrRY)f!g`4)rHpaM4C^nAubK7{_0@eMLC9`^SHXQb*+DF( zmzSmomJ;B}a`G*cgqbf(oSCny`43SR!a9t%q!4vgiczV!O)j0iMi!!f>Lr z;X0zU#U!G%{Khk^YeafL$i1@`Ay7{$K3|=n!6Aj9!5GBxPKDg*8_%S#!sJj}ZHY7D zgs#Ma{%4UMszJAkA8v`HAm{u{c@by0vK?j}dl^g4sLv2-YeX_qu)3L{p$Qd zzp@D$2>LDjMZbLr`jz`dzplSZYSu6My}I(Gn6nv0&~J_6Ap^e)MWB=KM*&r!!d!hr2UZfQI_CWDFB?RkhKo9rtN2%PB`IHdWIG`QBP> zlwz}{zJwqJZ6^Y!?O*h(RLc1u({Jye^gD4!zmI=Qzj7X{q4~S3gO2~8-?Dpup z4f-X&qu(w?<7-^6rC;=0{qS$;7qipsf1+Qc|3CEWu8G_a`z!rkR{xWJ=MeNe)}qtW zz7X@TN`?IOM)kF=m7#+H!q1%1+R#W5rpgLt;{>s>Lzpmtf)4g?t!x>YfQlye<}k!k z!9m{?W?+w46Gj-T+atDVa&U7Y8n-401d_fBdUrwbF2L@B>Rr$TaUvQBe~f8jWhsKNT?a6V@Uny0As{fA3(UpN z&cV(Kf-rzU42XU*R)&AqMbTEz+8Snv@Nm~Nw}W8-Un`2LvWYpEo9pXYTHeit;#(6t z0OIxMoUj0tVYYUNp#dChU`{ZEhn)+;!OG6Y^^eIy>;O{*NSipq0En~V0E)o$P4q08 z0A|*D_HXTAdH}~?`*X2zupy=vVHf|)lpgYzi>9KBH4Ffh(>GPHx4;0(0ysJE%;s(F z>;W9?(0^LdBL-mq^P>9qR`f-xGqy8Oe2+<$@5A$~1nnuak}@BGHkMyLl%+@;k@FAX zvzAeRP>&vf9v-_rPG^#Aw91i05=&asXL85JN_fLV$tb8LNCQF?!J@eJEg^ok z=p7@qQ9jA#Onq&y$vIFCr{CtL_r0xe!(}faKQir7#CR?VW{sB~D$d~f;>=C@GaYxA zEf&i&Z%ioPn~_W^K9(sAE^UU%ub*2a8J}Ui^bmbJT|{Ug2h8CtmrPEki`RyW40>RM zIvMtAkF&2^HB7rf|H^Nld)%bsjN*Ak^KtzCb>>Usrt5$mJpSvNZnE1LnM1sVq8={b z4C=$E??IGnG7egihXFYmi=Z^ZZ?X<;1Fu@CiP=7`(S((N-(Q{R&%o3K`^lEXQ3-TX zBbB9H6Yv)De@bY(IqdUz^)BqsaZsk%vGZGgOL(QZLN0?Lhs~C4LM!mVV6?jf!c%W7O{Yd<(6>BpPM_mO(p)`lX~N4H*k^TU3q|4!KZzR2!QbEJl`_>T&8Ydr_wLl^kqi2^NXwq=3Rrw zB@C1J_)KX}HRu*QW+8w9TFD8L$pwuJYv@rchG-c zDre5O`P2768U4QQ#}fF#5y^21$|9-*C=!0d#Ln5Rh#zYwQO=mC#ELn) z^Ip>i^5al9xCl$g6~qy2o9d+p2R=IEDuP7mzE&y26$K98CsqG}AHhawq{RCwPf^6) zXa7P-0JT96DT6}NDxq7K&gHOGJ{U&!HucDlTe3OUYf{815PPAFwp*XGH3z@DCLW(o zFz6L89cQWJlVmUJowkS54%S~niZ)U3q2XuW{1ne!GfOcpRBJ_|pD4TWu(McKZx&>< zs}-Im;un7MC)~r=!gRbIW2TF_RyaEvpQ_<~kXI>8^*L8DAXc$PR-fs~MI{yUbmS1N z1K*VWTdMiqBpWT3=>i$epP-Jbtq*XUeD5#ta1i?JDIc=XOTCqZ5cHw3R#r7 zp#i!m%|`}M=v^_6AE8b~m)FGYVf*+MBk^Bh@>d~I~o zMVTLDJnJWb!J?%;l>7s6E)r2MA_*O#Fgj&;eVfxcg;#if(|*_H>D4>R1DcyCucf9# z1Ke)on+{)}3eW%xUC*aaeZpflAv#McSk;gp9DJ8G@!ro-ZgI#<-WdWk(`U1?FM%a4 z9O>E|gNbBTXoU5v{AUYS0kN&rZK=}6@g%rE(TC}&Pn{aoO%vPn9+KH)mWCfB1ShM^8y$jk%rUto@YtH3 zU;>1>rKnJMt5+nR&IeY>mCd8_EF!sHrB^?jhFl7NJ#^ro*+MGj%;tVT{rNqW$;3xC zf46*Xy@$Ez1fT=3*G?D;CY9lsR?n8v6trN2(Heex;3O5sC#1(Kwh&;INa^E$W%mKd zb7T`0x7bFq$sKijzt*5Y@i%<;*KarfgbG!8m=Ok0!qO1t4A1}pAW$s~pn{1j46%j* zQ~_v!0UQ7@A}4QUWer}&hH?voxxt+5f`Ve)P%t-? zTZmnZlbe&1Lx@M15AgS05TpG0@ErgG-Tv*n!>5B%I4!z_9s6!lp{|6-o}cFn0;s{C ziQGz2gXvLGrMFwhl(+nLZ)H4rzSi)3CBi%Bp|-r|@b+CEAHR^iH2|$KbPO=39tzcGU380}bY!h{L7fh{tucWg_Mc7i4)|s`PCsbqq*tsxx7()f^ zSfoy)WU5e5ANa&F-pc7`?2RsNVQAVVCAs@xj=y7Inj(ph{%gz|pG*;^4<7$L{pT`= zUO&|~k&{<-@`QpL0-kY9f^H7%+w;KcV?Rq7T8oa(P4>=LmtbTH)nT`7d6;oDAm&?6 zyf3`B(V+)8nyLpz`8h8_sts7^A8Xa(2Bl3>#YYdF0lc406%3OM)Fvr3w5G{3OY4}7 zQLMGjb;T3ga_pPL)$9VrwX@(#HmM^{!xnsXD=1=>cNgOX$u&%~#hcb4ON-K0>xb|n zQcmr;8WbfAsyf*aZq8L`VKLHf7EFZ0BX;kI~_! z+_X#@K<7M(T)v%H_mM?*%^3W(=-`$yS&V#gRxme>9OS>feE!j4`3kKMFJ0dtDNBJU zIBRjf1Q~h#rh%|@apxK{aXs^W(XM;-vPrN|23pk~6x(%3B{RKO37OoppZ>8Z9|jJq z@>A}HM+1HcC`i)9>0SH-muTVX63sX;=4sG#z+va%%YEPM=jxnS;+j|L8UxEg!{6bc zC|U3%5IdP9DZG>1a;iywEPBv6HV}qixrg&AX9EehnZorp8)dxn{h1B(l=2vEmfQv?RHJ5Fx?)j(KV;YFDEr4d|h zU{D~YBD8WVOW8z}in+f-@6nYbUY$OD?~9jqaLKyd215Ca;-d(^+>*CLRkPfr&+P8~ zoD81P@${{=59nsPy9vkk2X7e}-kSe;T{|BT;2-p_B{o$OiDfsE=k<*3qlzt{?=)f{ ze(W4E^Rml+Y3uu+Pca+1;KeoU-)|3VplsYhDT7r4u1#SgNnX95eA642I&5{U$i|Ud zg~It)*a5%tI6ZHMEMGi%3Yrk)G&PpDKbNAIhEg|pkaF<*@C3~JNZ8*^5W?}ZM%ZoQ zhRe&!GwHo~Ck_tcN^NQZG0*F=J$0q>0f&GhuKsY#@Te6*QxUv~w$_pKUi{}(fbM6! zJVE(Vdbr2oZM`$r!5-)$qu?^4+WVF{U$12YAH0U?K>Bf6J~iIa6w(!BBXka3cbnJe z_~Y{U`F5|bzpt2TO74WLymci>SW0H`Z{mh-hOJxPcriXj?rPBcc>N!b%7h6GluK8+ z?zJhe12*BA9#d~v`Q?LZdWiD4Ku_x-x9q2QJufMOC*lPgKdX0DxG%v)S-jO5hq7Z* zC=J>j1N`@PteOzJo7S?Z3o5!H_f#dkmk8}q?o(XF$d3#6mP@`yTV~sO@wNDbnLM_0 z%cE$~a=hc>la7;gPxErF4!?8S6Iwz@xPsV2Zl;G;AR% ze*YJD2F#Ci+81-I2={yXhL$qtWkW}Kq9#eE_IJM$kuuPLd_q|AIf6#|+nf9kVkl1y z+_N|rOm^u4mCBJEZ6%f@Mfg!t0`YxK2;PK;ya;l3a3Snt+Fj6es-~N9?&qS;a+0Fb zl4Yd^_JlHjj@!vjTf6qZ00n-zKY(XI@Y90agmmt&3RaR%16Vp~bNg&yxb)$2qi|8GtxH+H3@dqfGa#jIV68-KExGiWsK7f zw-Q9r??^&Sj|+yDK~Z5#ONuR9%wC7FeCh;Yy{X84h$ceG5*JAdpz~+uTv;G4FMS5G z$M2n>6&K1Z8HdOH`eJ&yVjS)BVMl9x`L6~?Z5$#8Mgz}7&?rh)6E_qldp_16_iGni zNzCsgnp8K_wK-?=nI-Iwa$lt(Kh%cOB0Cvp+~fm8hrf?Q14v)FJBo;k*(&Dtmg*pl zsBCQ>ZWmRr+C=u%fQ(bf44f*mrW)V)-4O^2IVVrjc(%&!Ov3RD+pw5mq4N@_T!2c+ zzZE!q-&bK4d4}1g>dW%%n)%ie>Vs|yjqT;n4hcNjs+(jr9m(+!RuWYDx#zO4?LW@8 zk!sPldcOG9b&@Oe89x`;Od6n1oDK&nH`Yzega|hR8a7UJfORwvWd<6MBC}%wG2T!f zO+h7wGjKJr>xvDvnKJ*!p22F5un3oSRvM1wl%-XH-ec~wSJ{dW;Zo<;<$rgf{y35z z+Ex_T2rJFgpF+l4=o@@f`fSNdKmHUAJGu6#NT0sA%*e`LY*vL>er-zsr_q=_FB7;gLG19)f#S40A!SQcX z+a?-?VV;1S#@=dMZ`YfET9dK&9zL8MBJ|vF$WG`(9Z?v=0f$mZ%A4m5sfxCP>k#CP z6`3$SW56@tl%*&EGT;Xqlj;k>%}`oNw+ofAqSR)h?V19P}ozN8Hk+||XzGWelo zp1~l_0@c@SO;Q5WFV)3kpXFCtmQ9T>Bmx6_bAAt0e5s36ZR1HZGreQezwZ=|UX|vK zMlj5ifsH!X@6X*?EvTk8Rh61o;fW_s?GShJG7A>jCBUi zvt0lm=}!9?+(E_?fhrXxO;_GrSR8(b6RI8I8-)4e{JXs0i4-V*{FsJn?oE1QbDCLC zGRB-9zpRd`_pFImIg*SYy$nVl)F zwAKhmgcUKBcn2>{2tW9h5=pbYtRzM|M8RWeW!2rHrH9NcKDrrgjfV5{l3Tl<^k|O%S(P)IK`@IqJo!s=brFAHwFw zThEktxRaUkOqYO#M{I0s>@1W@0(hb!y3V?~PTvg)$QX*B4Fca5cvPxu>*6vHey#?y zWP3e*RCEDN#{~H3tBondD+VXsZbOnQjs#?fz+rqr4e%{$)HY|Bc<}8EJV{-Br=OeZ zf2GvNd>`TihRYZ2Pa7ID0gW+L#jKpiOgACBv>Id41nwfsa{_TFP|;q1=AFlvr6V#8 ztmN5!+Fmai@^h(>%6fiacyFTA)w62PLi@f@b#MsmW@CvWZCmh3*Y&zo))su_Rad-W z8L_|m?cmnyUJbc#fXl&Jt*^sK9sWjL@-0edawmnmw3vPEYcrm+ZO!>V^T{@f>HBmx zp%|9?nt$D?S&Nu7M|Es~bH{OA^R0p9s%bj^?jouH)mDtfRE`YiDo4fVNUeExqvL9B zqUI-`9i^*E;phZJj6sk=JJ<#xQe(%9P|c1)*b)+lYjd{q2T_r zwRh+tNjJRpG66cu)aGGxJt59NG4*We-(i=K8t}6uio(k<)ZraC-No1_7=>pP`r}|I zZ6ZI!R-(vMqPViTE*acF7_G@Wp>q02n-zi?Xq8BBm^3vdJ!vp}Jd6C^$U`YW$rm z*yoMy699dS5_rLYvv4qXb#t*WvH#!6(bN`>jUz>b2pyc2i#?N@*d~6^!zvnXAiVgTYQrsdv{>Rdl3v= zxN48_0N$zgzpsgUU!TTW)|X8TC`PXKys^XF5j7T=w$mo+VvAX1r?$k}-f`q-oO(B? zH43kvY;+-p*gof|+4cZ6+}w;VZZBJfVoSCM#|kGw#Hm{fg^ufEJ{&6?A$uvGzF1qL zhO@A@sxM)VnL;ca>)ew^vkz(HhaquQp(=iKhL!GRy~WX0HPI z;mIW5})ojul9DkRI^rEN2kaoUsq{7PS zyon^eA;tI!lm!9X?4q44T?aS1m?1j3QWI&$GgIs_le}YC&b3tuZK+!%P9jYW3C3@S zFtGJMgRGPM?Z;uIKYn_2{y?R3+`pu&HQCShcnrbQqu=3Y`IN+WHG2CM%OhRS$6UeW zc+$g>M{1(yKP+2)i8N}iFTL7Cw{z+!L`}LJeR~Iz;0)Cn-K4+D#WijB6Q>HSh@Ma z1^$eaTWdR3<*fC~O1Jq6D0o3e^LiQUftXe5B#c%OdQvnF6;iK>g|$@`Q=|D(P738+ ze&0knATtB?%QK5rDy`jXuDKEJlM#q3g}5``mLaInzHd3g8GqV=jwx5}mM~4Mp|mS} zep!c)S98rvrQo3SUjv*rOsAEk^vV~t(<{VM?t&_Ddu2=e$dz7XzQOH7T0~BTZ>V9p z#hKYUvbu;&7(9Br6?zv{8`iAloK)`J&}X4);v zJ@?CA%-L*heo3!Q#*mNsfeQ=adOk0R@0)B~wn>qDqc`Ixxl??g)Jw*Km)(hn`he1> z2;ls#)0VOdYt2zmk!F?*>71AL@bJTXI7r0n+2g2a1K|3rAo}lFY^ONBHxn28O}5ln zSphJ6wlFdu?%YRJ!&RB!CXC8?N49?Hcptl1$o{1BYOlUCE>wLAyKz(A9@g^@1+%c{ z;FoW<(JP-TZF`5)cbtfL9S*>LJeAh`C_KIU{VV^1{s}w(UqyuCoUz0+HHU}O1&eg^ zcLHzxn~Y?zmBVKV6>j7TLhTku^f(%~kSicrKALIl^qDVieB&pC)Vgx^MO`duVe~CU zB*#~e@104`T*VSk|0H2AZGYNwMiP~rI{K9<)U;z!90CWMEu*yiURFwOV-i+&zM8Xx z?Lg{Zv)3q)?!4cb!jrGN4K8aSza67ZZhhY}&Hof7hh&K+WHK@g~> z<7yFv*3vI&@z-s+x+q%9K_C=*JT%coBms}1J2w`GIMlZ`KwmXFF=Bkvf;Eb!Zfdhr|-TVpgwm|WVQ4UhW;~ycM+P0seu(<9+Mb|lw@tfn~zg=xp!g`ojGRHWs-f0 zi{jTM?{z%>Fc1bIHYIo#B*HLRcoT|3X`*}6*j#ZDwiyCGqF3@3-h;w(ySRYept`%8 z5Yo;LN`Zv5isjDQ?krj7HVUk*5MW7afVIpPgCg+Z$5HLoZ;l(Hg{#rGn?>;1d`6+7 zyP3cU4GQEfr`RkMbyS)p;$yK_7o*e#rh!^lny8cIo+I|a4KE@Vva@;w>cWu`LxHPlV>IUSXc{QS%ux}j19M(D6AF|WUh(KXdpo~-mf;<{{u9bbI1#873L+f zBR`m1U|M=#d2A?jma<`!i#s$?&N(DNQcemMug??uVps1DRrLSWlL%tU6SMxizHP}M zxVFDcp8ECKN)qhz*X|1DN4Eab)I9Z=lP(cJB*OOB9u=vhp+H9^w4-p-)z1ARO+^In zK^KKsa4vTHvQbI>YzYX$2t2RgqVk{^ikVyokw+Jch1+XJv5Jl=Hh;Rg@o@&eKL*du z!142j`9PFR3|Y>*%h65A5>vNf7Xa8+3ro^lRQa!o$OHP2Hr;~C3qm}ci0nd;xU~(> zpN==fnD^tIPhKT`E9}8{3~NlStIR&#BEnpRYQsOUyUabr=m6E)_z^7y_61UMy_$0C z$(FR)4Npak)emO5n1;wT>|Lh{??82h3g_LLR-hxMHk?BOOSj&#=)nFG1!|V8qh)s>J{4rC{i>vv{(FEjC1)0>AOK# z8q+lsf!etctia1(@jq+lM7vP_K1uohgq(k?B{E+Li~3sNHauKR(xDMdc7P+91CN4u z&R|qYxVYtsOo{3ICy%pcuPL1j}J z&^ON)X6H|llSny2GSA{b%364|k4j~lyMM+J21sqQ;FykZb}P4w7^7`{sv=n0qz@O1 z@6xe4u1a8OYJ6a-9cdGES|p6u_9hYXOde&|q?^8=Ank&+!y6s=(>Fp?wYT3ICxh4< z?G=PTrBNVyxYmSjceU8$hq@1Dh8?1iu435xNwV^IFbKgmr|kY(o|VK=H5Z-UgR!gS z1_XbeS7yITv^0h+VEzu`$#%{>%$nd0GrY!`O(Q7P6?=Mi-1!bP7oDko8zp*CWNRP4 zxJ0(qOv#st=2%dk#FIb4+VDmXz7aWPXO7U~d5p`|Dpd2ogs6WJB+v_?4Saf}H-jw94vq}ro>Dl^11Qco>o8Z0}&; zuRy}C_fL5cOZl@e`p#(Mx4P_@0A{?oPpS4 zDD1F357Hh8Q&Y^u9p zNG2R_%nTvg)>J{3R?U6_1?EgRk#YFM_#u4QHpe@RMsqzc)ODEsn2^$fbg0i=!thr; zE3@GPA7i>o<=5B1FdUQZ;}k-JCO`_k$;AoeWBnXkXn9EF%|nG?eL@z0UBsVl@ZaNb z6j8X3)bHC%9>Q+#e1pne;n~4MyDPZI4l>wk$Q!2Y`(O40_uOs|5ATC(aiuB4xWG)E&k{^O zOCHApV5Tcg#56}#49EBI?Cc5X$bd+k)9$+^IkK^fq zSbyq)_RsE@tOBC`56ai*1WF6qrd^`Vmj$I+V|9O&pG!Cy<9*_S$w2iDpYEXIjuK2j z;2E%^0TbYjg`MKK!ocLQ2Lb7?w7W>>JY$n~mQ;Qdg}& zP{xqz`$h7mIWg%K%f>pQV}M4E8>^0R zdPO?7LpBJ+;M`CDk6kt#HHnEv8%PTx>p*QD{&QL&Jj+2F9}o?G`S47X%fYtB`eH03 z(7=#x3wVGk`lW+JZHA?i`CSWrd^BrIK4i(mTgJgU&rE@S_BK0(YvgudczD^al6=M0 z9{tjy=)6G{wj) zd-Ny%i?!@12r&H02m|wgb`y4FN*?`At7kdt+Y}yjhJqngf~=2;s9MwMM?u{vkrwq; zVa%R$)LcOg0BO?R6J9XEJLEZk;C~DEDuWk2@oB}eKk3U*YZt+sUF)#Ug@}ALBnQqt|W;u;XX&Sjf3wf zVwNE&!;P`R%m26Hg2zj{v^&k$h)oRN3;lB<6Lb4Uwd(}>%#sj=mW(yxoA_L+^X_GE zLJPVb56I~o275gANu=`D9#Z9!YbBPIu(?4HwtR7olZOAW{P*jdJ%mc1F4vEEVqD1f~&Zeo%ZFZY7o>!FS&%tYZ}Ekp~(sX4~ zHaVMm&$a%{T)LvBkz(mkNy}UgeLPJd>R0JqJ}Xj) zFhuG1$&;)TdMsQWV<+){JKyiW7bLrAg=r8ScjderU}$Q9egDc^$E0IW^%FNq#pude zy5fBC!^{Z6&AsfZ_D?n!0p{iaEh$%C+GcagQsxH2^Y;su24wU8zGc6``-vn)$7-2}k=?1lU>;8)!grfS5+tCye8SweC z*Ihw7Tc6Mu#*LcI1Mz{fd|d&jcOl|ghNL}~lV2{f(OT(ybQ8 z<@Rm5F_D=?HUvs2f0DdLcFR=l4$TRDd-O2CvaKs(;U|RrXfCaLPM0vrjp3FFS5(hX zK!BK>1UWam|3mifX7x6aWH3+<>pQXHdi`4(7pp#Ph;we9bpji|@&0|>n3(pO96csn z(Gl=|gy-4|F#lZ0*HhUJ+qNxrVwvxv{Jn0i8ZMI>(+E7tuN7`tW4lU+u<_{a6Z{-k zi?B@&%I;6y`7Y_Nt@rzOAht5mvFOTyqUwdB^_H!8wkXv0o~V%>Xu?o?SZ`-*hf-dU z-xSWpWXr1|L%+%0m?!|R+@2}K@As(RAKt1P2-$OEw32!6W>26rgOu!ZDB*+Iqq3Fug2KS_Zn?m)#nYPhY59iqWb`skO0iRQhO ziZ^~i2gsiTz;^3+s z43Euz@!)2q{7E`K$qn-GaN6W_f2Ynh*Ay>OB?EM)K4f~rO7KPp65x9kFvNu5 zqlqMk+_fSNdBg`9dM?t;BH@uLD|JF{kbi;+{XSWZj%=47teI|2l^;$R^Xb6L0CB1m zrpj?1^rN!jZ;G(zw-EigbpKq#40#6sRn#sA7{7OJ#ayh1=k%=l#*#PHAZVof9zPtL z(*h2o8lYA3lW)Rc@zt#J)OYomuUZ!(Z+eYxw;O(sD?dad#kA1>fznOTxMJYk-~Raf zo;1e9U7@>2a!Mbk?m5&Gl5J^$vtyUvfWOE2Om zxTUot)_w^F>p*tZq;zvwrLj zFO$KeT7z^HkI1Z^#79pwwV2Bm+UVuuw`pLp$+hIq3VER_B4}yLGvGawPx8&p_XS80 z={Av{jQPOKZXVBIe&!_!u;>2X%@69^qLCd-X|N#2xH{KocV!294!i5P%Y6REzubI!a`QWw$}eeH4Sm-w;|)Kg54E^@07d%r3GL+i+IlV z`ZP?z1ZE?%XSTt~v%Gfea+Q)Sh3Wr69O@u3Q|{bR0a4e@JQQ8_;>qZu1&Da zPHiE7o>p#UsK9*eZ54xFezSrzrAl4wYQB=S;>wH>qtphrHN$Y+L>!Hodb36xP=~=S z6|(Q^v!|~Hh6=OLpvBu)YXgu*Fj*YgXsow^euFC`+c$O?(I)o-Quq#n*;49J&tRS% zHzdqr^I!`gw>#lZUIGqHyR0u}EWXJLo-YOrCSh9wCHfpZP3<@17EOX1P>_;4md7Vo zu8NFTPYzAB;=~&hAEJt8`U2YHbKyP1*ovDmAmpoBKHM?aAHWK3u ziOUPv)Is-1n34@#35a*AlAtYmnDiP-$p$V&#r6J&nf`b2HU1hdD6yPy zHlt%)+kf`|rZFfRU}akhkfie4&iPy$KL|7ZmnPvHs_a-|ePuh9Z<}adAdiz(5>uR+ zAg(>pd4ARtRI@@ttpWVC{5Z8gba%Y%h4uM=#F=_VO7+Ti@1so;d|1`9!|z0B9YL1R z%&KV>)x~EUG5dp^JUbVQTOUIhUx<$Aw`2!R;n6xAcvda4)Qh*weue1-%93EQ)C@d_ zoKBNCWA~wE&%5U)&R(YUqtq1kNn_wc23hLxiqV&RZr$?r@g9Om_Q42PG2pO zZ81!3ZBDzHDS)_JcmoU_%8P*nj!oJD4dFt(kHXSHOpB?}6gs#V*1fp<-e0>3tE0I_ z#j*f(_~yOZ{Pj{an^N^8f@;=JzBcAG{edF|t)&BeU3Mi5aMc<0#=J;Bdo+7H$%W1n z4qZnnSc&02QmzSA63?!2+|&2gd}gy4)|y2>zRXfoMj%_U0&2;y0`$H95+X z>qfl@H-qkAap}3@MMYzv>L%znq5M0U<7w$Lfk=Cu%piMKnsfRKLb_XHL@KJ2z@Z`dQ9MxG zqCPbvN6GV6{?Hg=^@L~10^wp|@{C5r#g#Um1sLg_?2<_~l0Ez_CXgr22VcMsi#!FH z?mo)QIp;peRmLKbb=U#+2rOoSYKq*-w=>Z2q<<~-#_TK0DJfng=F%Jo zU;sfdGblg-7M5$1HZP{hn>mM-tm9)esD>x)F-*)g9+$2&kIb4(u6f3RFf}MRBw@%5 z%Vc^hPHCbpEwi^HH6>vOGDkjul4&@(9IfW%W%x~ns0x~J(;l}k2UW}K0wgl8slg8$um(;yqyxEpnRx5PEFCk-7Y>k`Nu--krR7@)tzINIPAXUZkL2L5&iSoV%GPCE#-& zfncDQ5SbMu1D0g?QJ79`R6i3!zhW!*TZ{eyKSQI!MTKL5Fvz0J{uyymNG^qv$$wTg zKJma@+V>&LHn>)&nC7P=s&*{Geg~olWse_61&sRaa-m<01YE&aQNk%SXnb4M8;#9O zHE8nmdWHu@)E)2dZCjO4XNp2MIY7Yc12QW3e!y%4+TprX_#7D-6jsDX3qQare$R=- zlznk%@?KyceSCe~(d=5YCYBKHiNKp%$3#}KuCcr2uH4sBdm(Ua{X@$(suB&jehyr| z6~J9ZpHR%TGRc*JyUn*AnlvANB=G9|%7^Pzx3>C*tu4FS3Mm$gM{lJu0(?RNXa)zA z2}r&G1nG-M+(~RfeQbpEn~AbmD-!H6T<_lh4vn#O>hlu+GO2B)K0f}VRO;%S9txt; zeajFH@j)svNH&~>ak}QG@NXVLi0ghiwcb6@=!?oE2F>L#XW;x7x33CGl-ktF7o`Wd z!o|%^9HDL4=3tR$>-|3k0HbxB*y35WCDJZvw`(@onShNI^$@~;GiiS?Y*M?NCs#E{0qYZ@!FRUUmuMNzcc4|?Kf^8W4Zr-RXv2|+a> zghlZ8pL@hn&sbs{F0Y+A;+VUM!r+dkUpLetE|E2=EF4wXrl;700F}Lx1reCv6nQlT za&gQ0?Ax@Z)0q_h8x!P2h; zHr70q6!W`(Uv4?BuZQ>MVB~5tr#oKoA7u*uXmTCx*A=Xvb?4M$r zd=^hgQnrNEe{u{#!2JQW8y!dx=tnf4-A5WW@JV@a&b)ukxoQ-kyA#l8hzr}w`K1dc zv?HX9wa84JG4ExMtgedN_3ATZPvEaV|49b4dE8|3@Z!BFO|Mm_clB zfAFYJ29K#DOazrCxpL{TDj5P{|3D8Kj*@P_E~*`r59Y7L(YD#CJ{b{Jh?e-o}t!&amkfyN<8!2dIb$vg^Ho zfdZTr(La;yE716KvqOu-_OBN}9jOeX4iXw&0qHJ4Z_|EJ^gKaqfR2aMs|*5b1m)zw zdZiPlL{`&oFXL^vb4*BKgL!1((inH&x~{lJ+s?t_*v6Y7q;%lXHDzhC@XC9Zz{ULK z*C+}CH_fJDt5smQ84&A%*ix)Wxm(_+T#xQ`0@lr|>9esFf!%i(w?emWfdUP;E(Tj^ z7v>6x;0QNtF^t_ww9pq46LsGk_SlDPFq;@)rWN*gDEYz~TcU2|;a+mz`p?EHZrlj& z5W7k3@;T^T^;!5`NyZfh$Ju;@VMDgwu!F+Hq_A$OvJ`haE)tqWYGDttgP6Ls3ine~ znvY@Zypk6(=w5XicQ_R;Y8#r4)4e*e-#h)szq2WQ%V+$^KKywPTOR>i+#G==@ROg3 z$mI3!BduQHe|_k8|UlSmaEBg9uMjCg$pPkY0y%^@OHHG1ZedVxIN6$wyGg zfV(5QPK>~`w!PBW5mx+8moG-&h}56K6c&jCo|#KfUOLZgh)2DPbXRmkvI1`=k*WZz zJXQ4}NXU5mv%#yTiUh&G7zv%3$UpiMQ`# z4Lop%nKtmo_T4do9s=?ChRCY&^kQ`_m9qDnkHxIXLH70N38P!mSAFxJltf@KgN78L zuZ+5U*xAh()8I7+K|4Ixb==oSmY5ffw&4#;%K-F< zq`_)ybVs<~wEHx%$)>Kpf4kw!e3$G!WzeAC*dL(<)_h`|Hw1yZpS2rrf6gXio2u-r zQT8NyG$fqnn8|phJsyUPM-MzA+Wc4lUd10H``bCO=W*W1n~nN3j8zgJ#wvMq?)3J3 zu5#5M&=@T;50`smQ0X)t?am|57~^d}Q?@SAAy>!5F`uepB3N><&KW~S{QT8WmE7EZ zSA|fldYg}IT#W$uBu4dgSap(UMz%q6g<&su!+{HIW=-@75;aBYCHzTt_p&3ygu%lSz&RXiaCv`Ez+)S^4e1nseI$@1$_& zqHeo~az0OseafuC&Mu)}6g_;1_eHRNB2Yhxn%r1A8!x1^_fJ;02vc&Qkkc_H&3FW0 zdwuWO<{p5MpT0f@c=PghgO^MSOS{%srp{u3Iu9#JS-%(Vg zpf7b9`CI zxYNuu)2Mg+jd9O6NG7n|$FkkEI?gFQZWO<`xZXv&36$Z?j52!g&DWNa><&bm4)PFo zLafiS|MFwC_j4L<6@WJO_|e@zv3iK3VUnwVbMGF+F*8Uuv%+VRt)tOkL!{?AvE;gv znQ8)nEpB=gxMup&7z;f_SfmeNH1qJ^q3gTf%;F6|6V<#9J6h73e8_zke+nNNG&=6C z!sd%g$X%sM4Dgk1-&c1E{Z2lgb%=XivNp$C@Cr`odjP$a7g_ae%H9ffz$q}pf66ic z(d-|OO-J5G(mTD20V}%4)<8=w-+i>yTQUo@kBhoHzh(UHAdwky)~3SdGbp4D(W00r zYs3J{4N1+K(#piFHIG~>j?JZ{4{ZgNiTMFynM5Z^Br`sCGS7F)X?fyhdhv|D^=QL4 zh1^{G+5RXy9^97D<^~A;X*v1gS&dy{sT}^bt!*9tp&$*)2eZ~7LnL=YYvLWUR-g;$ zIPB;hcc0yru9HcL&2I?n3qN5F`-gDsyw)`5R@5g6Zb=;h1dI99T1b0|L$LgGp`3XS z>maLROGGc;`GtebZc>slwsR>p%Rn7)zx5xj6WZ*(QLmtIp1_r1nqKr%BR2ea1rwLh zIn!haztRB9VO&eZ7VCaHIu`4G?FDY}zdi)MlJoj3+S-q312uIBs8Hmp)HADHTsMRn z>KR$HD6U=#=1%Dq67wR(+rFZMQN$1Y4F5iPe(ExOd0HGeXNrlz?w;0E>Olb(JY-|W z#5IRM_~W1YgK*3?aAwFCbJ7vf4hZC@$tb{wt-)$PMQStZG6r-v%}bq7ri!O7nD^>Scc3intEC?; zu4KZO4>GI86f1Ja-#xUC>kl@&Tuff@9S3ZH3M? zzZo#^Kz1(%-V0)uefAdy0ukeT$cb;HQYCi!_SzT>wazp5QV0*4dbfKq#tW94+%DE4da(8 zy$?x4>SHzwKz{t2w0i-1BU1Kep(m~U;jt@h9KDYQPYtVbORtRXh5=gQe6Q(>GIMpY zkO7ux65}heABhO3QsP50H?p&!cu*AME9L-Z1;`6HJHsj;^B=wFhs0pe$MNc)Tw479 z^hug*H0nTr?7LgRY1e|K_CGyAN-SOs!K;UxpZ!_S`j+puoiKnQVv4&v5*hW}M>O37 zzaX{Oa9ak$Fxv%vXhg8M4K&eqiqdQ||4nbKbr@cGx(@x+;m5*@LE#k{pIQL@en*g5 zgvKLJ^zxh+Y`taTvh11V3VNuD(JJpRJjbcx8nc|~JCGkbRh-@1?{64_)GIQV39eCZ zilx^>RtLK3;Szuf>*aUZU$VwyL-ZYFwo!UNlS=72cOhvh8z=i%`tT|zv2646oVpcO zHh($^Owsht&CXVJDMVBrSbM`SoLNz-LMBo)pKu9EC;nONku_tMCwI{w2YbOOQhRJq zOYKE;f%ueZ>E}H(nH;6gZ|)iIhq@hyRmy%gw>g*kyefcr$gcpLM=5$Kw~rt7NFd<-lkuwK7GA%kcyGu3Cbu0a%PhWtDugi)s=&IqR&cX*LVSNXH2KeXv%)jzFeX8hEYrP?XSnw)2EJPO5_nD_Z;?geL^{*1I|_|L#R?Z0$R{_p^H(cT|T+*dKW&tliztLO&lD` zOr5K7kz~uqWZ)OQTkqslF(th^eqryC#RU5lemhj;eHt*5rog>+)2u*u{E@=g=!4k( z@Be+iEaa$y%|_V3`a@?t=>TR{Z`G)(7Pw+*w~cqG;=kHt{?~__qP4#L!ZWO99B=uo z7S&dWsKJ$!FLskH+zd;@%m~NU$@OxqX~MeR|KwN?eq<8W`-;jhQ+f}&eDAoieJ(p2 zhGO%{AjB0`e^DgPw=L@LU^gQ^0h0QM{zE`Uo)!n3IA{6*>Kx&aweKRa6MDKg3+4QAk2WIXC_O_S1xf766t!- z1b!WK?p|YiCxr%qgWVKLYqTDybBy`aENoB=fneL)(=|+k=K2;z(W=DT0tAGwa+(xoC96_;t!Y-P9EuetziWdN3G>fo_-72lk#mWdeDy5l+LBudPEoDSaRGzu6qFg3}V5dK<3(SHFo0E=`3_Lb80#luRH7g(FD@ zr*mfE*&})$>e9|ekM1{NTmVN((0xRi_oN6W?L|`x*Zg}(Vk!e5Yg3EJe{1#b{+E%G zR*1Dfl6592^*)o~U}+dfHO$^9t5WL$n7moifyD=7=G0>QylXpWH%+geE>53iDc?@Qi)%b3PnAAq+uk+J1j zf)3J5ws9fb$!GbJVHnW7>OWavE+5P)pRw(%S;h5zu9IV`|Nm#i!*#1v4$kWkD*yKbDn5(xo4hn-hNpdF! zeHyss#oq64w7O5mL5v^1TG5rNr}5_hdVI&Mu24zXIJf`{&!NMLsWBxqat@v`LH`-> zLY264?a=G}NyzE!!bwd$Pj^UZozSiimX z@p17Eu#9t-8d<7HRtL|xYriA=8YsesF%8# zZf(&lvc;~A49b`nN@k~o2~oA zS#YtRV0{eY?%F(4azgZG3!Ud~j&8mQm?Bqsb#=vyA)lg-4$IQRgT6o9@;U>mm2B0! z5xIfB!3lLfyP+Kb%I0SO^7;kVdpQ7yk0S|=^g@d(r87+3wtj<23d2!rkXYBIDS5`|77(UcTkA znMSPpmKH7%=zcE+RPL8?%mGCf9A>zp>6%uXZ95!xr|k%v_ER(TJ2K$M?d{OC*kN}X znts|uJM+cE8t^U7!=x<1KQ3_>`{(aY8 zat7fzz#-r@`~hvuCEj74kPdfsGivg!`)?QNXWSWckFe9w?Tps7FsA7xscVe@-fK0@WAlkEb%D<&@7=y>^}|7*sd1>@H*ki3@9?>!tnOFl!+)jq z6YQW7Q$ssnGwqUbYHg~qIl+oB&?M}XkH4%hQZh_MA>%U9BfhFd zy4+cn9{mqiXsu2XcZcU}DB5$^|(vw6}SWsiVUGsO-aWNdmNx@D`RBjeYtmhFG zamh4=q}xVvjZ3((OSthv!bNGl1o&J|OtREZqV!y)r8qoz)>jOZ#)Y4ykAEz)eQIMQ z<2We&z*XGyJ*@?+=_~jX6+0`kb2(B$xLST`^Ds~RD0%V(=BT~`e<8q+0JAS`kBmpR z3akYm_&_y|z*7-I6QQ|Op1Q zGuZB#sz2&#p5zE}mdsO511Ru;T17 z{hfdQ$!3tE|9OHze}8puWI zY0wqbOz4Id{=m%|KBWuEsSB|IKxAs{LXT6EAi8X6N7!PW8s8h9pbR|poUt?VN7<>7 zg}=PvUo)W}K~J#wRk<=Cy7B~h)#|Gs+9q~mT0I>Hqn#ime19kq!n;1X-ENoDXWlE; zQU7W?K@k3kigz|6mELRgHdS*{t=JJqKe!#JVs(!U{oAX;$td5+TwlAnQs&~|-PRc% zy^d3{T&oylep1Sn0xYVr=CeoSyX;@(Bd>7F!-!(;T*Ty3>u0{StV%+^2-5RqVm#UT z^GjtqH=!7ae}5Eb{t>ylWkUmIO~^;h(pSja2Q?C%Bw;H0?rmeWFM$UlKloGR%o{oL zMwC`AwC-V<_-P`on(cPko~3J{gQcOTHxA&4EmPr2^Wn&>oN++ZJ-Ym1wm5>DZ1~n1 z(tt$G2J+?62`7VmxUwxgy*F7Z2VUv1MRnIy>}sWFPJgNrCJqg^I|i&OW(eB@TtDvT z!Xon1B4uSet$JzO<^2bvUaQgdXZ%J2;_^n)x~t)1H4`!_keP90xvpb#I4(je>Qt$z zv)w8v*2p&M7=Ayl>M^>wlrHFNoj3Vq5<5o!LctBQ1UM^l3Due~j40)!-i~d}pZcTo z&Bisd%zqg=JK8G`Z6{5Yps|_HYKY}7rC`W8jF;NW0qwW9uix;9nqQZ^tT+yG%e`da z(mHj?8F(dz?-+w4@yvaV&@m4>XXlAOL?y|}d{6Ic3p#i-kcSL1Sfrgekcj8hgi_;@KSqQcJ$vAE<( zz<;CG!niyBdWiXkD;vE#@#%VM*8an9ura^EK7aFE-eBWgo_`z+LouuEyR%I0`B(9e z=q;rh7??36P4R=ZJQX}_ogf=ei28m z#}6KE!<(?VxJs`F0Xy)w;(lyOLuDlS?H5Q6K<`y0b0fxSy>Fi;_}YWPei} z*68kZR4BUw9})^ie)47+uzbVU#j^tSZB;Lqzh0~iQ$~In38?%6d|eg4l{@Hq{SHd+ zqP3Q%Q4WK6Db)O84y+(WQk-A+l%zP#uk0>a9&I_nUzg+~w#z_y1MOQ~TYFO}BWQKY z_`E*@O2kNI>Bwfap`Ikt;L)nKfmG)?x2Bn=>p={J8DnOBvcKAhL#Hf1TWM{YSRbJT zF3`*>x2F!PR3Jdmt%J( zsY+5)Y!NMCOpyvf+VTAQc^kN>WyKc>1hG84<$DVlZ4R4g^TSt>{C{)*)${L@VpE1? z7H6CL$4wNL1-yzjYLmyCTt#7&meqZ@}a zpSnjPx%0=jLfOMO;Nlw|&WOV~xs7U`f87idL4hmE~e(Oi9%nCapKHG>xjqy?tm5oIEWeHaZ-z z?@s5&42I`fG^cStSg?O9eh;cVzp5HgBzPx_)D`I66{Suyu&|Oz?9I?y^I@B&0rEIi zsqC$Ea0cqC9t1QknkoM_B^v-;hSvv~M~A|B<3nTjC{=u_@bJ8WZ7Mh-cY}`5KM3VE z9He2Qi#5?-sI58~KV-93Mgu z&GY}V<-d0w;o-yBx9+(oFJ$`4Y@<|IrfE!gwSg_eq9``^HLUjyYDc12J3z1Px446J1sm?%*kNGMfJf33YJoUm_|Wl_ zNcixKA3=t|p2mOHULCNLy#o$5ZeG!WjZTwLGpvzk6g$o1Kaa>eH;gr?5+VUm@K8Am zPmZ6aJ*@NU9Hp~-QoxodRebu|xP5QM@W^qgfIXQCjKDNMx$$A=4A~MoF&zi*s?!w929sf^$1Ky&4lXXWojr=<;PF0v(k_uW<_2?R}%6NY|VNzyc8W-!iXVJUrV3>g4 z67>hSJ|6Azm=^KlvTZ>sc>SL=CrxBP0D4*dqxj3_g;8v=p@;)Y8FxSPO~^vS{Q0+X_;he_BQYCUj6v;9k&5^VIL=+2`tMQZVGEf#lekz+>)}$ z>l%PS^r!Z2&GEl=ela5s&^%Tndc=XBB}zLY1QUu{=1qcPxT0=Jnud9%;edoKH(*kO zqtl5W$nJCdZTTV2N!W@4lt`_*R08V9Ts4r%cSHW!=tqTz3 zKn4h1l~BYC#14#4KQRBO>Zhb zJPm)|EsRjBX%*&%76UQ^%vWe%c`3dDUQI;iK1k`;i+FAeDPqO|l2)i{JaL`b_$@G(XUjxGa1a@(32w?ipH3z+ec7t6^j-Dg$&6Vqhf$gpME}2CybG zga_O1djrRXzM6X;`|iXO2F^M_79GDDIgx*%cvXA-fq}~ep#o~Sx0P8<*B&^xDM4*2 z1fj>VVN5H9Ar%a9vpr>t^F{?kG9vNU-9U>2a2%__w-^u#@pBM4loxj5ms1)-8lA4! zY`ftz<~2>r0N&GLJxvZ@Af!vH5<2#%+&i$JZ1($<@TuS>V$$qqU^cr_S)g&99HoEV zH)Cy_Kceh#jnRcTmx3$_{{CnBZr4=oeQ5X^!lSTAG$bXE^%as@psm;t-3g*3*ajqA z-0sZ*GA9QlqCIe5i>@ta!0ssgTA*_!7z{eqP?#$qO^S}dK4-Tp7*EjUdZhAaOXO@C zq=akjwmZ<>EygB5p(Qdt$?SHqKW=}6mWVT7zn;>bNY8qu^CHw~%I9A=(D*8oV*xx# zdwuv%?nyFuF`M|p2*LD+rQeEyQ*J!@X|CII|;`L zzU?X51!|_FmW!ii5DM`@PaPc&V@A`6i|4qt^m<9>;OqMMN8Tp3i>*oTcmp z2XT_^{vit!v4Bxs4++|>I4>$gm8}T9ovTczOHv&sDqS6M5|qyvnXgaVq0bmIi;n9E}j&PcaHSFuQ>MgK1HRS?zoZMCYsXLC3Q!2f7D*laiZGlSz0y zj*!1{O9w6y4X*BmcO^R3stB`O6hg$nDFhN33*5(=>Nn^rd+Rv$#fnGYjR%C34!yuA z@jksFw#3P#l-RTk-OzuuGR}{xzylq)De$I2hE7PR_Iop9TH@2_L=u#y*`3fb5gXy3 z!9)kHdnAH5Vk$^=FA^smWnmucCz+@?PO&j0r7?RvUQ_uV56!K3#knAQ$zv7jGTtOb z5$2`jXl&~-SUrPa$sqU)*$>g+U$7ZtSe#`60yrbdH zv9*8Q#(D+uYqlm4K+W9Fae&8Rq11XBXvvAhLmM;tA~CbJ;tNS^oSZQYRG5W|NBU#G z`2;?Tmg006>>_!Fm>m=seklUwxIvIgWktjg>9I521h1>zmR+4y18d#_5-&^JVU% z1C>KKw4Q3EO45%lH#&)TIauql;v<2G1_cLK!_6rs(O$=?orFqpOMFg(;+cj{RUlu7 z(%u*ACy^As+wZ%+_C@VE+SgJMzy{0O^ljB#Qxpx)`ASbxjoG4uF#0qr3Un?Cb@b?c z5k82ilUjcwaoC5X;J=Rt=mFCQ(g0}NTGr?LlI5HMJ5{{^WTA6j^&B$>2Ypj zTbYJgrdG2A+R*G`x$#1R_FdJxseL+&gM1pILR1?@DqR#x3N6?KsgBRz2#N5`g*z(5 zSr)V4+M1+Yh-~5Ckc&Q65?IXZgEs_DPU-;9o&bNoH!Qr?0VUr-p0@kx-J7=;{S@2X zx{fPSU|_L6=a*e@qzS-!qSjNbd*;=0kvSz`iT;9sLt?30K;pig3f$FusrEzni9l?b z;UiI|r#LF+%QXz7=a|vw_`Q!N;H|_0%i_kO(w`KoVrk()ArGcP0{?wy{C018v$t+4 zG&q0b>#jLO8RvmnHscoGk0enVsz@005pQrf!xjvA{qI-by?ViYKaEx0ONRdzlj-|k z`9Vif#H}CR{Ct5puSB)vlJZyM(dp$bj*IM$yT5(&^OV4=MRE}rfRee~rha4g)krn1 zxR`U++D^WIDit8iKk~T6O^;6(_fnVSRos8H4ggAmm9{BVoq}r_P2L^=gzxO>Vo?BZ zH%H;n%|?r04R%Xqaoo1OmbS-v8pcZSpsH(fMRcPZQ=+su45X}!OVeVyG{qMqxrXV= zp%wDhphtHC6s#P5h2VlAl>YEQJ`fI;E$nn=c8U`R=>G+>UdYFoURL?u`l^9?b|rs| zMFotrB#bi=@jZTF!55)mmcctJ&gu-Xk+xU))2}mNH>^&nVrIL)H@c20G399KdgCuE z!p8vp8glN{RFZEzhc3$ZunnkObQKyER!O|415OzkK*#PYDkbw*BD-&2zkbFqXJ7c# zrN(%97UhfZ0rkUiqyuO`q98Pb1>ApV2jOk(;fHKM3V1l=#0r4IT&X@t9g`I=c(R<{ z5d6z$F0VVDhn3)+d_}@GLpmqdQ@zl_3EvfQzUO`)`dy?~aZ-kfzv%OKM0j6@c{Zp! zUn8ND>M-Ox9Q~u@RFIN`_By#hK%Db;Q4QXYHJ>hSoqXMQE`2U;x14-YB0+x|GQ>xU zNxoE|4Y=~KC{w;sdb3U9b>$JD^iB#|H`PxpMnNbMWy>pV0MfwtyBtY4Vo<56Oojuv zzJlGhl_?kyloVva6M_uB6->mgE1yE~7-Aca;03rafX@_E;m&iB0=s>=6bm&n^9~$m)sIJVuQ4Y3A>L{v2&D)uY~2wV}GPuLys^F~%1AhN7%d9eF!D@yRI)?2q}5&* zWLk!Cw76c*(TTz;=x+p~VDGug3lDCT`!aeWb4)YJ3V+!aST8>u*%{Yzi29;ww_n;8lNvz0;2FF zl`GHHhZ#Ozwi4HR^TR&ZJ+8}f)VoY{rjIZMwsTZgcd_(win6CQ+z7c@?=NKv4~1A9 zE`yJf2q3$AzA9P7^YeAu*Lc$DD^&0ckcm7END2)xE<`G2sC^~i_gF<2b3f-4$}B7) z0$9!#wU3ge+QWa7*KKH`Zr{Bi#s2!*&^a33OOG&MzArXLHUWm#)_-`19rCR}5*+$& z^zES^DY?M+i?TS#NCrq4x-=s>8zcc*VjPJ|{vjTCfwbtS$OaZB^;y>MR7~mNj=w%* z$NYCpmpSrb$Xkw~JGuB1p5vD>e~zFLo9(Te|uB+ZsK{e;(4;>`L$c_IE_HY zu_wUcKHC&yw-hh-pN0-eM&J6%__+uq_dlY{|B=_=Kq%w?*bD6H<1w&12!-?myu2bD1W6|OLN;s62ALa@Um4jvQ6WJF0B!5CzkR!>djOE8B_}y?FqlWb`|Ada+1;#| z{qsq2^!vm0lkZ;&QO;cMj5M?B+nLq5sLZSqMP8_CcDi?X=9c>Mx?#ouY_^5O*z!skWU^)&8Ro=402*Fve#o{20pi_p=mZ~4wPtbJd9 z#0&X0yrRxSp0e6oAVEUVn|Vd0{2-de?6E4Q^K|>)U<5Ldu`g zbGPv8Ft3|s*qzOh02mSL=d_^pO_Tu)3;ZGeZ(wnig|5e=XxgVM_PhK@F^Afm3z=6+ zz^}+%S^gPyD(7a#np{X$=esjoW}&`Yq5AqLtHLHF!)T)9qCzFxq-2+r46BloVF@z% zZhxv}JPsad6x9r}@9D8$@c|ysBSp5usdYz3dV2g6UmuftwDbH}sin3vQ=uQQQa`Oi z%X*>fVE{*0e6)?U!Cbt3T%@y&ziVouU1WP0EcwOu_UO1T?B*#g>=v-=Tg^t3*{H#6 zU~z}n|4GYHAb`JMIngbDP-o2 zWZTfC%3ilylEk(hSCK?fucZNZuRSopBn`yJYLeY1{wF0w@w5=@P9qJI|wLk+HdO3#M|P$dJX$N=E{!J)ta@^TbM^!Y6c zsw3Zvwz33D>u7#c0hpsYMf&&}RPkOlxi=JLD2E~V#%x11# z6%`L}qp%l?ed`zZXcASGy*#rLh*~7asMxbC2(*PDCNetOPL4)d!HaFvA%9cgVBj$= zuoB}XoZvhDrHzToN!~`mmX-y3;2Xeq3I3stBEF|?7vte5_!9|GO~pPYKsCBoF-eq1 z;)B;;iVtY}{-rZBifS?jtr={~t+f>6egN2TrbM;^tNjg*sY-C6Zolq3+I$%BAU@h$ zSx0-X0#ko|W>x0dG&u^W?0+_T3r1lE1ne5|A*BSea;3-I(9-p&d#%BrZo2UMeiA+5 zpb!<#=?4Sew&jcv`~nxQI72ll-2~sqcmNN}(EECwADgT&A~#yhN|26|CF$=P?TZ*I zi!wteubdj3JWe7f_{#wg#0ftvPMl|cK<8yyWJ6e_mly`Ze0w_w_J8NT?GLO;KzJ=h znLAD>o6xT)r*KyL*s+R5VJ2z<&6f~Y3)0f9@A@6)kT3PA%Ul?p77oes*(z*s2c^sx z*H3eu1hy73z2IO-D30P{fA<d7wzz7KBa zv$S=&)l+js1(N(k1%CkM%5QdSgtp-Eh`jn1qUJO$Pm=n993+GwR4Ma!_3HWp4iU~B z$mEM-X7A_HIX#Hsgy1B&L8S-D?Y=4~4F!e-sT>JP1914`f~sV0oun&&xpdJ%Af_sH zZf%M7WF*%MMgTa0$qAGpDe>OO@St; zMSQU0)CCr{l#iYd>?j25lV$&l_CMF)gUXf>l@*%by}sLFIzTr(mlg19kl!I^Tgb;i zn6yZk(hKDdyGPHqfDfI1nCA%sy?BEbtAS^$ zC2(v3q(zQ74S#}%I0)YEq!!RfO`)bFEl!YBLd^szVoH*=aH|n6v+}#Mxh(;FfwHY4 zN@XQtnRK9?mymlP>S}3<41gWe`sVT~)-@F*1(nNhRLYXqK}G$bR^Z6u6hja(?cnuN z#WGE3UcnIK zy()QvA%D#Kl6QQ^XlNC>0n6M%EzPyr0Bwen8jF-v5r+mVln6rMs9Qv+Z9+z=((d~G z@*dTnp8(tdNddU9h_6z4;SpZxSYYg+PV5Lam9c_60UZYD;fmZydwA#rNMb??W|u;$ z!>tj)!mX53k+~gBAd>9>)c`2^)DWo=wZSVygnti^sEo=5)Y=F4JVKiShjN8D+_TuO z_nU^%Hr!9$Gaz6<*xPm!6$5kF*6654V-n+_i50~>sikley=e47E|ftBenSW*mW%J| z^&&F=8FpX#2G5ye`{W%q;Of2!_f%~~h#g^LtPMNbUL!KvFgOleK}Y$)#6N%DZvxyD zk$-fN{U?I-^*-=kZW2OK+pO^nw-EikEgEZ5k!;?6M^m z$5ALQd&Rs@wv0{+4=e)1`R#<)Nk~Ge4Szxiy24&Bzz~el_&~hDpc|bs-U_u=SKl>M zm15(IszZ7cJG`*Tm4Bm&#kRqPOK$bjWGn>#0Rgo{`^CD_0@HynyctW+u_~E&Y}X6E zmPxMM`s5(PUN#$y!@6A?mUZe>z_O&AvEDg9 zVPCS;ki-n}{mY(BWWNFPEvoF&lYd_8Cg6n49L=LyfLJM};XKfU3$feZ(URYf&)Nh! z%Qy9+qg~4=fSUSb%QT0w-u2WNqPgfLIN11xImV}M6RZ39V!IBD{W`=wC%DuycR~zi z6$$gH8HOF?hO;lVLdvYE)66RP$l5(O8~W`gc6Jm-kKV8Oj4~BU==r6^EPqYYOSS_| zP3{<46@EH_C>;jYV^VHo?+f-^B0InfaP)KNY3{wWj04E@N-BDe0;W{(T(Umf;FmQ8 zAerque}lcxK#v&Qd>_M<%`Rd%5)sD0JMIY9LsJCiVnYRfDbb_aAlILN88Eq13@bSg zMJ?hp$6z_K?ud1yhFFIY$A3v6!lz^TIriJSnC8XcNJ$$d5hX#|r%rLmCJ&_7C%;t<9@aoZzPrW3uG{34c&vG&WP_vQU#4fw45j z2#Uji>i7fIZ}b|%n!gJix?|_dR1YyFHOxV+d2rd+xfX7EZAx$#>uUZ6@sDA>rI;HUui%6_NHp`VP5BKgn zCY9?w7|G{34PKsEo$V>#MzSY{V?gHn_28;@nir(YRr=ox1eUVG0@L^WIhll`3%**5 z;k&nbp3)aSA*95#9#LgSE9r}2ffX)7*YppDha@H)L>i|Lsd^*@4AKSws>~5bCtwp& z)EsfgHGd|IU{w?0P<$OLIADdX`%5f{c}Jzc(yTn2{HMB)pRcOy-*4hquu^3gr!xiHyBh?ZOj{13dE#+zjNe9r)k@FkgjDv{NI<~?6DmIMU6 zEm!yW9qt%O6lJbc<7E=G)nJt>^J5fu<;fskh%(%W;RDxK!ZuW@g>hqdvcP5Wg3F5+ zhyMnFwHB&NF`F9|zl_8!)xnw<*H8WrN}rXjmq9iI69O?clR+L612Hl%myu2bD1Vh& zNsrvN62ALa^u<6AFhh%rNb2Z#dB_8TIG)KNnD`*KG~I&L(nL}}Xa4=GVimQy-S(VB zQe29~TD~eW+3YvT=07hI{{C|J;?;Yp-6j*6Rd#dtuyJbRWFiu1yel^M+YkH4t50|T zef3`ZS+7K79%e{35(n5!3Tyo4?tcga-d9~eT-|7;wq1E8w~tphD%-Z*P!`xKw^c)b zRU##oK3_qPCo2EawJ^YMce{Kj>$;-Wyn&etD(~7W`2Y1P%=!h(W!KZMd+4R@r)#X) z?Qp1iTC&K8yf2xmL(Z*z)$Gbh0j^o@+9NmQ+-1m{BJYYtuV#mf9$>9w4u1pych>xH znXs8Ae!v7UTAOVkMr+vru09ok8=*#jheJsXcZageiD~6&sCLx)7Ir`#-?YbL+wfd} zCuwr`_6>X_{k_-j6a6~2VUD7#ss5R!MB=mU0V%JVJq_wl)qqDOu5L`KkOCSqu?;#M z^T&SNtB#wMB28e!)(NLs0Dt7Qaw(3~zyqIM1hB(7Bidx&sHh_Ow4xo%i$MX@5Ah4K+RHL2|z2 zd*t>tHGVz~R47j6j3dxcH6VV#Ke^4J3n&hh;#5`NpC&>}o`HoVL+$X}Am`BB!MJkh zs*<)>Q0oIWx5r34Ptjs)wTDBfsi7ZE#ZzE|6p7R`HW)3ua>NECwag1-DU2Zj0x|1Q zqmE_6(hjpd;&!Sbo_`^*=@HH+XN?Liq_iv$$<`&WWb#TS)Y$LxzZ0$7y14lavN=tQ z%o(Wm^#EFOq$1Pf!6zDu4>Ya|Js8{D@tCXR_J{`hxCjPYzI;xd)7r zl4>PXDwnMIJ4x&ruQ`_*wMjE@vx+4KiizTNQnRrl3-)wcC-WjR4hCrux0D9y%WKF) z3nSffAvl`Ux$W<`br;Bh~KxCo1HmX%!kY;%!eq z65+kQ#5ipeVfBg)KW3bEN=Pri;hwa#E^G9BYr*06q$E%cM~kEvMKBuh1N84(FP=It z5;qF>qL$aXlafN^Sc1KGk(r(G&RQWQpH37Vba*-qz=;enRH6Y+Nf`lWtd&voi9r`wB+-{-N~KcJ?>0hY0lpVNh8tqaM@ z6MsPid!hwEAg`Yqu>J`H-zdv^F3Wx)%X*X+*pzf<#RY(bcW4Mg{PjJH2qw|RKGFPz zl^3$A7qS{x*C?y!y&8BkZ}m?sZnM}4aL>zV2N$8_jj~>(N)2=MeZOfSuHiT`xEz8H(A5mMaBv>nhH>mc9`iZI# zFFe-ezf_qJC8@KOi*NxaauM!R_<%hkBAK9`CDzd2Q5`J1LHK4;$d|EW!997z+8@!d zRj^>J5=rW#>&Q$h&L9e7z-TE3Z-4Kve2U=~=;N5G&<;6_sg5VAkrvyn4?&Pjs1;o= z&>4a^90IY)7*ScyGgypS$lm3YdV!t~?I|u;9ZT-lHj##sdd*tGP`0WY=t z_SDao=PBBAQGx-ZA~{gxMHYe;A~=qGptz$=ClS?Cr6?iRIf64o?gY=L=6_xXdJOrO z5r9IKEF!21MM}ukf&N7}13%N0mxn;LDR?AhB!I*d6VmcGp3=fl@P?Ba`Y|dIN~Vka zk6gqcG0T7fea-v!N|;OdK{^etPcCQwK42aRlHLdnF~wpWi0jKp7H9+t6!{1_5eyJM zyBPbZ3~ZJ(&!$Kx7~i<%IDdrmiWXkD&5ICQJH$lGi7p_CIT1!lq3nu?AVc3Cj@-(n zFbyn~Bd=033c}nhB!E^dO+6Da6D%%g?2cqedCGK3bwXKZoS>VJeITP@KqdNJSCMJQ z`Yx|AM8SY&N(ipfk0w}HQmmmGDw0L|6YR&pXG&gW`$0e zpKHW*%@$--h0$u|Z0LYt7ey`sf8x^RDi=U>Bn(bi$ki|{+{;MM1d?oInGL~zdNGCt zU}L;}HZ?H0NUdCs!-&Js!Yc&`ZFkW;BP4;?vt}0&5^4eChw2}TP-u;({zb$-`9D6_|ECi*>7O27{0_C6OAd`zC2<8 z^SLIU?c+9mNbU`zD<>!A5fA&2r-SlsUKik;BXr<#yEZ?;d4GjF5~$v5^NFW8#BBWJ z@O>~%vq`RS>jRL59JR=k=Fh z_9%OyV!AM+Rvk?WaHZ@* z{^o`-k{hq5On=Csrsxj)!<0aQ4xDdATl4&>xxK+k#P4t<0+6wim%^I^P9 zVHgPUL07>Xm^nL>KhR)`WyS|eL3F~zw;UYw@gie&%YQH&!qp(x0)XVM4{cr3{a(Ks z^O%RAJc~g&3vIZ?F>D>fWH2!SQe1iH%bH1B+==j|jl-J-!qs?D5V9OmP(bDVtzrKtMRK!ro;dgU$LiHL@(or68+tkq~8Bt$}U9tqpxY z{&xG0(bNOANWihz5o=P@Z?E5t+jX<;LRh6!I}iB@goKzF@I`EzRf?;CEy}97%#?vOUcD_qIMx+ zuvq*8_>M#ylYw1cje~H2R>jj|?q-+QPr=ZELwxS?sdB=sSeA%%G^Mj}S*3|E2@5+& z$n_!}n*z~*-!27A5QWP`F6X&`&it6S2NUj>!xBmmz^W)?f{N?Jc6^usXH2Tl@gFdx zr+@vvCW%Pdcc+u6aC1c6=km+xwyeT69F1fI=3=C9!;pM9myK5%bS7RJf#l`;NJ&go zMkSqA!|3QDbF&1FUoPkVnOu7!q5o=}VuLUdga%aS^HC2Z-|ZJNZYigi#w2UM z$n@x~G4!3~Lp76cwnfW7`Fq3p)wU~R1}k2Q4rQ|n$7T;O%YVz=DRM_gwISPkMg_D3 z_-a%%rxzsONa4+Rw|YLQgqQu=$E1>_u7BPB`hzP|kSm1`ehfGnmVc|)luB|jmE`60 zrVGk%LnQ2DuEonmo(QVhM9F;#%E`qZ7;OrJ26BMR14Rn0kHb< z1#ZxhER8V{^qO){UeX)WP%=iHfi8gYQX|j2$k72}@4}lLs*_bE+y>QC!)ENJ2mN7e z^H)WW<)GW`82h$-lYa*Pe{G5oOdEP=3&(&7vFpXeD>CRhDnh9tGTfLE^o&NP3`xI{ z)R1AtJ&&)m-`&0V=fzBQ@Y3Fy&F=W({!_9kpc$=;hPdTx=yU|&^jj+zHKa~S7a{PfSY$1@PMd7OpN#T!Zu6x`?n=BEsc7DDVOks zFHOS}@z6589LvJXF|pWA{I0}U0SZ*sZop;=ZTQu>Uo+zWD6Eu&mq9iI6PMQw0~G@} zGdY)$P6H@^ty)Wu+_(|G`&aa30W~l!iw}uZ4gs9adN)CwcHMwle6#g5rXP;GM{2oWZ{UC5-L~DKr`Fm#oaiI|=QnKw|BeGM*0p_413#|w zJaKikbCDL43@!csk}16w$v|Ijxzgsgb9V>d;Pk`#*XzIHjx#ZBxhQR#SsAws9c?mn z)ymWFp8 z51>ri4vF_X1J&Vvf&@4akt;fCpj#w+Xka=z-yiFtr;mrKuBmhb6WG{i>$UB9G-6@x=G)boNVPuMb5OG~dA+teA-)BhckjBY2YQHxte6|nIGwSnHN|qeTh|Y; zvHK@T$)!#+eKHnRG1#lw@#I-53*O(idw&RX1Ca_2%Tpnk5DjeZxMB#0a$jwKNtjhq zWG^NDQO6F}0Ye{J`un;Xc$#1cpkTS1XNx*i;phXS^5h-LXH-?_=HjaT@o)g9{qA|1 zs-fTOwS~!VYVIb3T8{o{CBQUkv)V|RT9L1=cc_ymL;gUf@ZazM5=ldiK^m5meRuuh zw-=Fnr3z-h5P6yb-?xVsKmVG4t#;6cN?=N}dI&uaD=l+48Z;91>ivr!&-lzZSEkZj zl|p}^Uym|HAdQ-w$$-6i2p=k3=BtN}*_4d0!K<(tvrgr^IQn-Ona2 z2S(;r5pnM(71S22GjLY{aYdn$9K=9mT8l*JbK;$?HbSIj&S!B!pi88GFmwVMGoDM& zdq{A-O2uBkWLa@$8dxnW%GfDSCGfKZ@^X1@$}&$yp`SG+3cdjzCPJmfxj6-ZprR08 zF{z1t1n?7eb)!H-v!YlsZPHY&O`b@bmgm=fK7ZhlnLma4Kk*0TfcW!Y+L8o%mCBb} z`dig_2lla$s!Z(JqY#v0@wtoU=_?q(b;DReIk}elvh7)7RV5PdYs^(IPP|uDB`qo za(sCvQv=R5?B*Px2$q+f_cc0i_koEsxEsXuE#r;twmni!ghg&RgH+6HVrt&I{tV_S z2=7O<6+w$*q*dKD6$U7Xr*X}i;Zg0nJI}z(9Y%^cKmpe`?p>EzY9*g!;1d$%1{a`n z84n36BWr>4Gwwovm)ODW4poPqG(>DRc~$oq*kf0`Eo4c!rG72ka>% zkkNa)2D|-#>WA|-Zyv>KfHZ~VgZT%?ZbYF@FxY~#0{Pfc#T2LL$VtEnxeB%c!`MW~WfZFsv~c8q5KaUF!0sh+dpo$M#j^k~3Xu#U zc>3HDU6{})wjr3N#d>N+>gx9HEt6K}98E$~p7VsXpRj)v{IF^0=q46GuYE`s5gSZo zgJCw5Aqu%88H1q}6UV6&DBZ$jpKV-1+-FlG_|zMB53*PL2FHL02nHX1w^g@29=2`Q zHqZut$5><*v?v%kJ1&Cp-YpLt+lWXoc}V>p;+YRrAKQbZ4{9YHRk9v; zXHm{1#V&<*!j;~Wi#(1@2QrX!wK(*jKUN-Ws@fo#-FypE(XN9D2PC>medgTL@+Cd0 zXa(sTfZlt>G_K4`t9Tt=6n=tXS`boe$vy>tMvKsS$SKi=Ih8i>3PIOKN%cEHRPT|P z73Eu;Q=DuYNe5a%6Q$gLLCXG(T}Q;r?m>GSa~{5ejD#^4$ZzKw6CyKoMh;_pKGghW zgAcF}1U1osTl|2Q2MGE6cUd%I4NvZWa&clR5sVP;(gxj1GT@UMVTYSw$oOn?Npniv zW4qer8xSsVEVv?^M=2eT*+rLnyO9!%9+h&ofEuaF$Oh*+LZ%yxM~2TRu8&;?K145M znxs#_onc)qXUCb6Kr+K7w!9DI< zNHqly8g*h(EPv$u$1X@|yj}{;fd5<6D!{p_f$6KmeT}~w&ujwllWM=RRp{5l}>P4H``2MtVnJHqdQ_j#?=MZoU zX_DyN3Xeuy>uFT@tC*h1{+~uV5F5f(BtW*f1S2uRDRM{NPw>}{qLq0`<7fPo$1F=s}gvVdt&G@mW9@C|00rl0RnElx%A4@(PiwADihhKl62W` z9qG|x@WdL8#alNx?x&w(e}A39oMHCoz5VE&DJ@6!xcTE7_p&g90sCJk-fBq5X(uLl z;hE7NLskPA*79?v^Q+_vEl9KEl3}=DjuC{NOvO&TT^YCu5JA2eV$wTdm*v_Y;PQH` zmcr=y0BS3)f8c}1<$~nk)xCI-nS?=c^%HpmbgDrD9lEfdq_ihk8y!Iey!zTBQKu13 z^0mIuSd_9(l0Bq*5xCWo-5?f(HJY(}a`_20*>((3OjI0pVfApK1wN0G5w)m$G_b&S z=@=21e{tGZ7wSMg zC;d6ZL>LLUr?#b_62X+%$j;J@f4W?Onb?rmCO5_pSqsf$KUhgJ z>&5=-U`s)x@|w>q|MgA6)-$9it|-HKk=ckaSsad!hsU(dm`}JI43zHb4wLaX<~I!d z5_1#(5}reI9~mbLCKzLel-#h;zTrkA0QdYH#P>=7)^mDkz6RAM9Y~biNoz?cAD8Zq zKEiS@$2_rFa}Sb5U}mH!iY@kP8X$&Xh>1bmr_JTi(+vaGq9~6#aPC_pPD>{ri#9)kRr6-`78YF=@c zwk7^da13q&s6Fo+u2$F~u7~Us5Jk7WayNxozy8I0Y#4WPq^ywxtOp#UNBbT;fe(7g z8&sr+P_yZ1i*bKOFGMC#5OWrG9|^nllbd5Zi?K(JaIp!>v&yrZ51x<6DLDJ88SA{@ z2!_UfeSNY89^((BfsGNTyUd_BnQ_N!@xpG=-PjN%VLZN1gkpb~g-kgIa8+$@++30H zg9@$)q2JOt26=LxL|ilR(Q(CMAU!;W0=hYYz3O-hFKezC|L2sYu+=?Ndm-(g8>nm6 zElMJmz^*3}7*tjtQb)S~x;HAfPqz~o=0fk=a`-p03f_9deAT`!AI79`uc*&mTlW0X z6|Zl$`RlJm_H^PQjJ<_0ARUEq^9;VO_p2PD6|P;uG_R*jsfmJS5Tur`=aRljE!I(F zk2v@Vn^1~I8T5rRT^4~&t~IcJ*o1h^j}r$t6&;S|)vL=u?N1(oVZbn5Sbjt0yBTT~ zKqEv?`+S#%7^>8C#D_F$YFg@ggKf3GM)N8|E)H!y#EO28r?&hzTW2TC% z0GofP?JURkOMAN3m%rzh+YS}m#;onQf@#h^QUod)47FX`4C4)ldT%;hE;cqxx$hul z9iI2E0eQX6yj; zFZyV*(N7&GY1<|yiP=LAu|xT8%A4nF0T*q$zBn7Tr;!CCfIVHFKM5%!%OThOuJzwE zxX)iouiqLY>Kqv~MFjEYUAlZqD(z5j8R>YjAnTq7pl9+0uwgJKMz3XR*)sKMOOFw5{?U&K8yxy32$)o*2uV&bbn_Sjz?cJ1yJ5fYhy* zt@vw#}Q1o7JsnAi~Z?ls%oVfHlVtJmwbD>I_7k~dIEu+msQ zfbWiaA@rc5;Sp$rT!9UX#>Mpwz!6(+Va+VUjkFYV(nW(DFQmNIX#J^MH&3vvi;;Z@ zbW)yGZ1a_k5(7_)7A$aXc4~(+DG+T4fK%4Gx16W`4=H}0|3k9`tQSQw%y9OZp>C2E z$G!__!9jCB5wd`BmL$8VDv6Q?DE_B(uaJb3 zne7gjmuimmo+#y23zw!kiP6AOlAhISNnOHBl|Bgu(b(!wcWjUP8Mh@OhC_`=7mc44 ziR)G$q9?xCnvd|N}c8Y12Zl=KCr&Bl<#$1?RkEX92<_O3}(&7y^S_`r_Y|=o#z5WnX zWK`XTB=e=X*g5T${u^i`_l?{(x7a+>+$@ZW7+NT}h~vKm7+ zJPMc5GvWBng8y^$#3^2JZx7RT+?CL*3ZOny!ciQHAHw&_A#TCJKz=UX=J3NHb!SjrL3S=2S#8W*oo4208*QwlC-YnSAedMS&Q1A$4579W_ypHz{ z-t4s<73viPs51W#Ci0(mGoiRa-;oCfEi`0^;Z{Eav1X2=@ZeC%1m=F@aAy{6jI%Wd z$I7T_W~K2iLb2~z+U?seZoGwK7p1;ft3f9Xkd68DQ^~;_$dh)oD@S~;Ai8sYwBGN- z3Ha(AF?f6UATC!{al3zt?m<80=5r(fCrOvHf-C_*|Ll11<%K6`b{bL~AeFc%f;Y8A zqiz&-_mWu!oUxZN?(n0nO-9jw49rZTrogxZ7QOZI7&$e|9WpQ#$yXrZIJ6Uj3gJ-AIK?Fqq$gmT?00%N|8w&z=863%>obn$-&%Kee$60};YpjK; ztgTEkR|_HR{SNE>SfJ~`6^dx|uuHK}_F$cMpn%PgS_l4#dvw9wF$c1q4P9vj=kF#v z2kJ=HdQ#BgnkXz;qY?60i+%OB<7*uPFOUUDW1fy==q0s@DG|PxS1H(7R8z9cl1JK# zH55RUe&-sQ2UDie`00z{t=VK@R4J7&lhsiRgSbQ+@g_)_@D?B-(&9ZGE-m3?-+Lyp z+g5F_Nu?3`z=gSr#0fd&PT@Q6A>>CSAaDEmh^S9DUa^XLJ=WE=w^ zfN#)B1jXnIklM{(3UdGbLqj3r%d2~9HoRLa7def8(fDPPUUDxJ@2R@!s#Fggmi}iWJjo)1 zjg<&sF*ef42F6rx<}H+(qI(15Yu5$D*^ZD5_$68d`^wJ2g0#p>!prSCK|3HC$g$6n zWlfvFY#Au%`XYLKCZW){y?$*fYzb%$YN$V zxFL%?{P(ncxYdl5f!$SlJ?GXXKjtg*%^O|+zCP|c35AMSG>1}Lh#}lYM+FTC77U3XB9Ftl%R_?@^mOZ@z12_)xIWy-Odz9|eHnIZ_(?zO7LqVbQMrJMeY%a+#? zTMrmn6b1i6g!if8**0TZ*erc%%;$C5#|?fFWNK<+ILa8Q5Y9}JZ-z2GXQTKZfT%E` z7$00lYPJbykBALtP=ld$#j;axDUdurHEfL&gK~MB+6v)NaDPevRki`BiS{1-_JVls zKCfOrt6zoAxE%~B&&0&lpf6FsNG<>+orIghoCz>O{JoI=D=7;cFRv#6qh#~vbGjDu zE7mZ_hY4#5t$t!%gRAUfs{-OMM&JV}VueeUFz+LV|z)0o%xEBIAq6At4iu z(4>L<8rh{lTlg&F)cg>Dq)&Rk(eS7n#9(W~f~+pJn%{=emwQgtdf?=HS%wFQkdY}H>`0^0hpv7Nw@%(RyI54amkAO6<0QB zZyrcIP2K}NfeH=cv3q=$d}jo@-XbMm7j})iD64(C^3Im>jnlr{ncFRh6gT&8598a0+mUICKLt zpl&KKR3m6$%-aE!H7xq%mXf7SXvt9-2RbF(2h581+l}BkCJ}e8e+-`a(X51ZQ|t!!0Q{3Ef18KaWY6IJ~~<~*@53omO;HA9i743iGECB4zy7r**6Gsb_P zIbn-<6%r^qa|%s`sd?Ekg|}-dk3ns|^MogJ-?Jy7H2V&~nX8=TZH!0*qYRy=fsyoq z{)P+i;eQ0@?w$|oeYY)}d30TlcfWmordrv~6k{I^V*d~>YIQ_k({AaplOGf|MZ9TG z`!MzgU+$e|>WyxC%y9l5hHuvXHu9#&DVqZo2M>oMM+iCTB}-$yI*vuVCEfY@Mkfx+ zwU?X;>sA0vLv~iQ8+ZtfABraVCC9>kjV?3Z^r$5;eRNXEu%y zEB7sUQ_&cpY61Eu-Rl~r>}OMzcuEeHBZ@UYuR#C~&nV9~6RL$6DIP&l{tmsvBNHoW z?d+>(u}5wNrSvq1tO@v#6F)1E%*j^tN2=tRu%+u|unK?C5R-DA9XH*q*aoxDa+B&s zyz^mkIsk3SvU^= zt9d?Pvjs~F&|ZwNrkm>J1{%F*YA(j;Lnje*f0Hj4v^{;o@1Z#8g2nzIZCc$499iBN zWod^m6moBQ4j zO}TsGLLJm^MCB??knz1}x%3=aV|n=Ax%}*kG2V@#>B`6Y_BU*~dNQkGl-`rBcWXE- z_eg4Cx}bDrM1o>rhv|bEb#%K-7TG$9qe738LdAd|V|Dy~I)qG2siQ)6D)WB0<2=B{ zzQEzNr_l`2jB6lx8BbJiD0*+TRIQosE(Z$weGj{=p=SbiJ~97jDiuZ+mKboGfe6ld%r3p(f4R>s+D)rd^waW`7i zVcS{r3;_h4)Gzv{Wy7JdR>okjPXeIs_4OKVQEQS`R4s%&ZEZVMkg`6xx!7g!WMSdc zU;5g`QtfgQI&mMAypy7ARU!lmZ)Jg}Sn2cZvFyJu3+B7tKJ(;m4>&Q*J-Chhzqj#% z7{}j9!+}rKk)Odb=LlJ8d)=gd-MDdG4oH}TuTn^p?qE3ryH1&hhs0sh(2{^yez;?p zJ_|pTVr*7f^95K7RHekwM*~w*U;B2;-mO6}N{;U@t%dG~Vkm95eb#IWp_EYU?-bNU zg4ZDSslx?dfy;V7onYZQ`qpW7pSW|*jicDTXQH*E9fn>(QDWZl#WT9nN_s_8c8<5< zlCK+)GL|wO|CH9503h=w?H2&VVXd*g%8DdHpq!78vwC6$DS2k#qo?u~Bo!YCZfX4t znpc#yI_kW2V0~ zP+v3WWQ!yIMNt9EYhII86YvAXurRC~XhTz={+6c;uAQoyyLM2)^zU3-Ar_^yCnk$u zKenDF0)44T@dxX-x1_8U6#C6NDxd{^Y>|KLqn$sP3=?T0^t*i@R+9iBnQ1`tk4{Z|yq>=UHg1YBASXg`{3>NbqZpnxQ+SjAPW~kc zyp`BnvRmq$aN+Ch8-vCc17RhdR*m6wtox%+5Y=;fQ)`*;|y;ikiPzGj&1bI8pRGm4kOAll*lCxEwlF}VjKl*71%+Y1tf`N?|8g>5USvpd5_ zb=S3{(CiJDQEA3K{;~pJ9q4Z5Ak~=Dn~JQW#O|G+tu7J!on>9_U}gt$3E18vA#=3& z*OC8CP}~I44`Z6NoWJS_*h{uzdPK!I0jQ!OtCl z@IXG%Gr~xh+LE0gh@Rx+Vm>3?Bwbka+psKYygdMh#xIae~oos6FslLU*<9Ynq4 z85g}uHs=k(j~KR*^bDgo`Sdp* zs2q3)&9!0L-N(*JB;l$i2zUi(pw-!od&Cuyh3c`yLJ=hmu!vcRa}60LJBX5a-~~jh zyd@dqNyi#BXih2uFJ(Ep5Cjgc&jFbXioHI{=A+FZvpP*Y$bO3&8+ z5yE1g15VNal{PF7^M8nbHu1JMWMc*nvQT}Q%aS4i+4-c^pv5#~XVw5P2u%bd4)hlxAJK~G^*KWQ{Dt>&iCu@g%d^W z@23+@84lm3n*z-mmm_C}uXxaAGa;QKn>WWt40jZ0!C?gvg8KI)1gt?%qK!rTAt!7% zjjo3u7-quNgj6!j#_j=ll|-tjb=L_jS91Q%10_BcMZYcG&iFW|`0`Zs`QWcpy>IBQ z79ZL4T2X7N4H*UFq?WI2)niSn6f<~Y@T-|AJI?yZ`k)Q>7a5&4Cz-ZqMBZr$?#caU zMf-@2OpROm^V>8(naXFT+FglE5_Ukx-(PFq_+1Q8$>S2IW3R7XCoxi9 zlF#1Zx)uSsa$&luH@Tm3d1>+ZzEJBEy7yX;yVP{l`no&{`ucHLc71%g6;t9!I`62> zni|~OMfQ7#(!-ByJiH?@*;0^|C|21MICh!dAS6bhEaNk3zf}^i=8u2esqOpz6rdh- z_PHX z6F)&H=DI+6f|nrCuev&OGf<>7%Djy=URIiwdc5Bg>~_AE>8`6epm{P;?+^_piyre# zAh$K`NU?TxH5|onGC@V&2>+#|+UbF;Deih5M|RKa2{uC5PkoX!pPq}FUsII0^AR{fRX#t#%*307qR z5|KQ|vP3#*Y?Tdj2?#sUVwxAp+Szneueac)bVpfh!Qf&SZ9!oBRgZT3?9 zGn97)?RN*DBZcU_Y0@A+%JeifF-aM3yBmQqTvjIra_OE`Z9R)U%h z_sK&_04rVy_l^QTJ`k21)GX2>;vsG1&SXh}F3zwj&P89E7G)-f?O<~14%3L9Ud&X7 z8X|(7kbY!B}>1QZOpn3tVwJ_?2tbov82o zcK#AmC3EKA%D={=OaT%u@4*l6OJ6x;2;~FtRF;%GQu#iG$qw2iwMx;W&JAjmlS$b2 zk7Xw~)7m@74Rui9ns_H}VyM0`s;`LODAI;+ea392$$9o`{F9OpY1@>MGWv-1{(P}6 z3nLk8SFx$?FUA&;%KAczPWU<|Hirtu3H=h?@V1GAX-6U}oF-#t{3%Gkukb^*BlC3T6gqx$-scoV z-#8Bb0gR8`I!QU<3uE#AS>@vp9s)S7Q5*G*vTZBG$m5*Zj$gIk0eAh}o>Vc?b`OLIVctvOz0&t zT5HDidyQF^v6&$cm+? zdavlwHKg{q)0k>M1@c8#sPy0j2`&yho~CUFl6sz~FUVvg{Clk`dP}H($XyqdV9(n^ z;ia_CY2U^0yj=aZBOgbf`S1WS%9qK(_~Z2O*7*nX@G*+DRB;e=GM)m^+Njna*M*g~ zA2>smbtcSJ8~NBsV_LC$t8VdJ{B0al>Cq++KyUkgaKJwe+|*F!9W1z;aYSmhAy_1g zZDiE?Ga4}Ovt!7IN5aS#(`8KEyteag3jX+)TdSxhMSE)CbKF;R>O`X2^su+O*`p!h?J ztuOiTpuO^BY?%$jccV3`lJ3p^Td)#?2yrqvlqnd`zUZg#AS(Ief7%|jG$u%BR4`^P z*8l6@=+V?}+H6Js&%ZIJU4k7&-XAr7LKSgHnnU^=J==^ZWi}}ygyQU>1hp{sP`K&ar_*~wF_id2c;8$#2v zQ9&4UjtpVgti8=vmAB$fv6%IbeWAm0P9C*t@5JpA%Nw_83zK*>KpyMvQv$<@Cx?mNIQER=2_!d0Xa_w(e*y!w~K52{gIM`7A;m&b5qrc zV{v2Zmx>lf>#d@p>06F7^xgArTkW;N`$T@3P_T9Ct>?knVH_ruTeaTM#Hy%;XLuG> zX$mUJsvsI}0c(y!smI?sD#gh|%x(J&m~p7Gc-<=B0L_ldIX3&pw?3b9)=6fam0IQq zoAvrNfW0M`i_0smA*ICq$l9GOrW@tAFw?mp{=+y*O}Vc5JuDbqiiLJ#UC*;@Fryvcgh&9P_FRux?l5 za-ZyhEEq#L{27#E=f~NRb^!V#|8b-Bsm?z?YluSqMTxzAzt}&5j;{=d<24nmc-}!t z@hXa#6&&Vqe8O^F$~`B|do}WUknKBWrD3D zyKff5f??)XBkDzibZk7hzf|M{@Ku54l#C{EfeNlA5@dolA#taUA>;5E9eM#%(>@!g z3Wty}Fnu(pFw9qBI#^@2F!{sE3>mM){(3lDLE%n5ze5VdIJNybnY!lQoSMU>k9l?R z#~T|n@4n5G)cg2(2`*UPqxh3v5A%wo=Nqa<+Qk# zfhgE=_0~l z=DjMRR8!ukDmzpv4QPQmz)^z978xFwM{hdxN3hGjRaL%*N1FDf;u>(Qr=KwYgAk%1 zHGCtbCRqo9a88q4_Pfa5-r5ap9>X3q=1px?sZlkYxgx%o4gysTs4)G}B-bVpn&fCx zF*L=Zs-W)slSgH{x_CPp7PI8(%$$di!xuXa11My0{#&klk9$`n04$ohjr&0_Js6p_ zMf=a^5CmC>SQ01&w#7XCiDo}n;y3UK@t1-@S*?(UZH+@gBZ%q<*%3%0ag{n6QL6s? zQ3nr~uPb2)1Q{^v(uX?cH0bM%oW5iFRmb6+JA9kQv)%MomgPSjjT;~WhW@lnY@or# zx(5xSaeE_HsV2byz?)7|6zSCXVtCdZtNm=^wDEwF3&yE4Jd3wzy12|sbbOhl8v7l# z&@3qsbET}}pd)!GOz`MtVC+7ltaG49-Bsig%ggsL{rw1nixk8UaMdm(SZmqgj;LrZ}q z=-Uh#^(8g_Q6UlrLx=ehar!fYU2sEu>bt7k8HBSB$PgJ2gXg9vK;)%TH11c$lIRt@ z9xW1C7zVXCfI?o2r@`%znAB)a|0yIo%c!n#fb?_jjV>dJzINo~`=pFKl0v#IERiLc z7;IVu3JH?EJXXyQgyjU0WGKD+ljv)MA3}El&1zI(f7eYkz$zqJ4elbR>akR-9H;~Zty^Nf87V-J5XLa>S4(xXvJ%F}iaiEWY5X$N8NDIX2OQ zI0?vSqbZ8m4;5YO&yxl`GrVr$t+F^bi!5vbKguwA`7(d&9GG^7SyOF?$&g9)J z6u&v^aSG;#E&|@S%;*pXtxQ{)TtHG~n(OFb-|Eq$G(@t<3oR>Z#Fh=JFFqO^MNhi% z9wW^fB$!HD^?hPlwN6&5qnsderJm>PdDZ^=8R>kX+O_BUPBk85!QO?}n4!&#X>SJc1$d@H&+M?r5EZ zEQTvm7f>Lkls-F?zemLPgYDU=>f0+}r?pG3FUeSz$`aqtp`De9K_uNHF+Vk{?#vdH zjR^@89)=H6bXvY96=hn$s8!wN&>02~gP3hh2k2Om1jNHtPVI?i{ArO-C7}b2_W$6( zOxAk-(3odIZgSOk6MUv#J%0TH$liAOelUjEh&ExvokUipQfre$U({Whpxhm{9PCY~ zwLqQ#y@?YASylP2^MA&qy6WhMDy)A&sTO{vjlcD4B1`?q8#_f~ zlw7)ArWZ-Za`qu_2EAYFxhga-$T zd4|t!MzRH~|8V09b3Xndv4OH9eW0`$ui7pd<8<db>2>5)_vA2 z;66kZ%S_p~Blc@^)Y;Yl5k`?ev4Rj_eO^Ki|fPT@9!r60P0T=z>SJAk$Dz1(qjEHJA5D$nW> z!WsL^vv(0xl=H*p(6WgdDV-$P(Pz#dLdk?Bi}xN7co*l?!l>&zsGZvjqqI*CMFRNF z`@95H8l8u#EU+NeKdh3BBD_$c(h1#3?8()SgV5ACzpA5cVx&eaTuxtg_c1q>p7ph4Qd zXDIgbyver>8i^)-nW1H( zJS=P;b?J4VclNK5aei&7wnO{p_2c^-H-{mzT~aNw$COqS0-zER5^U&bbwo^em&H)q z#`xiN{c$X9jchw**pZl^J6Z003=zT%6T@L@Z;cYubu4YFw5j-PSn*JPeN(X#$76RB z%D4yN&8zIGp`Ce`cdsT}DAPsLWf*nIE`!CT81|Bysn5~c<*jqV%}q2Q@Pou%b7fdp zHMtI9R(|!U2SD)-FvB3Gf5@OlD<`HoXr3#Mblx)m_RTO+T37XZmA;>zW9Cd>P$liL zXzOwmO!>UP+}v!eO05iEX$MY`A1iEF`ge=b>qAayom+vYv*}S1M)ti^@X$(g*?`yn zVwORXux+E2{am2ml_QV=H>MoL`tLxt$rTu*RRrIH6M$bnhg)@Jh2o3TrqKr+bgXpd z{_f@KN))`HT$v8!8ZOWP^f~IOhx9d*79L@^?e;y(D3U6QE(j{O-I0YHw@eULl6kE; zu~yuC>>h&)<(CnzW7}g^E^fx_OCrXd7kQcx5uu`sC+nvDGE{5r4(J0V6RnQs$9nfy zr1jQn2Nch?t;nrR_p1OQc3uOy(%zkf_|=J{u^T$5sO;OC+k)mREU(aGE-XzduVniY0YVW=eW}b z`=Hpqlv`bZSd}<0)rVg_n4dK~16*BRX8*huOJ#3tf*t+38B{c0i{H4fhrZisyFumC zj)|>4-Pm2*y7AaqfED6{?Mf~CauNMhWF(4?!t~3VX>F2EpWpX-W~Xj9e#;ujz&DFa z0?xzJTHN9OF2d?1lsV>N)C1eM_c?-*9B!S>-BY6cl|BZ7@P!JMSyj(kunpjf&Fc0j z1Ts7*l*}E?nUO~}#!!;B+jboX1Kp)rpzYR4t@0~Y#em6YF_6gQbPeA2{Wy2dtl_q1pw~byf=}e zc*8hiSd(RCOr4Dv-htNc*T5f#b&>*%YI~G_m#gq_gM-tGNW#DAJd6faaLCggkf=SZY%;@kvL+J25w>wC zmEispd`?lWXuj2fn(v#-1{@91B|wXPWhtB0lcu80W)se01q)}Udu(n;Y1xTk3>=r@ z2s|(1RSwLN#bIfw)gl7$GtlFAM-pu+HZDQz67YzlUF#)Yv5rIa01BjV<`Hxsk%CHm z4D+dQx)yfO`U>4%Iy0$-gd)$3cvz|l3x4I^Ppfbvq7>fvfQ_IYIz?CHG9cxetpiid zMsrJdtZCz>3l{t2AJNm|`n((p%>+3lNZofhvDIYFtXd2qRj}9EHeXb$i~oIVb!bD= zHZ*);%YIbu*Pd5y)uzw50f??ymsL;G{1bMY3)p_)LuA>P$~@|pHlNHtv3TXJWp zKW_;&#cVgOd^u5ana$RW7odjy8BDX_8wbXYs*Nm6T4zOqD;WZ3wDFah77STt>bC7wMn%8(wAQ%4~(XiNgl3Vd>d;Pyz%`w|1KG+G;#C+8ARewB%)c|=; zx0`4q!n({L-e?;+3uwjt3Czp^xI%QY=(iwtA3Mt{*b%wKffXS%Enp=~zD;O2(6?CH zEFp3!jX-HPmu>opM}Zy#VnKEq_^aa8Q2Dln+Z2I(g&aN&yyjq#G?`iFu68f=&h?zm z4M3}}6R`#~_?J0gX?RZYoivYmB8`YNyXlxe2~WZ1 z04%aY{lMF)u}Q};-aQSwaSJ&)8bqc=*F15^x;Kqx&aE^-AWViMe_4TKaD4b%KV;zP z=B3p}Z`akOLS;nd;^;+1UkgTR^xmNl6pwG7&!kF=L`9Wq2k>;x8+~>y#WdK`D9tYV z4^KfwPD4FgsDGE_tvfzwQVeU;j?;+@4cijJXEl6jz*KVVjVFy-Lel5$kct1+@} z=q4l`#gb950Z6%%Rv?ZP&wnbzQGa;C&6kaol+?7Kos_La zq}zaf7J76DKDW5nd%H*shb(9N%RR)ZC_&)KrDG*B3V2kqwKbMW)lSRWc9w^xP>V-B zWzJZn+723A&ZFlVmdpA?VI~*t%9@Bb{H@w1Z(a&%L@XoTE4U zEjNr!lq*~kHucn@^doH-FWkF=#c1H$-XL-^5Vt90NT>Yd_|xvmD)hndfs_;;IPJg9 z--@dp1ITJDLSUO-?bzNEfoa`s-4dQ!qw^T0BX`zQL$@Le3U!CaA_wmQH1|t1^W^TI z!w#ARvc^QoE>sYbSW`nn+Y;E7KW%SpsM#$zhG0B@h#e2=X2mp;h{-slN4PjCaI=6@ zjG@D^VL`lty^KG``@N?DLHY>cA;|Q9A09&c0t7z8fB-}sVlER4uzm&wm|{rXrw~)F z0HinOlFL0ru_sHn`2+dQ9^3j0s=a%NLWt#Co30j-)5_(}t5#dk5Q1Y}bNg7ws?~O2 zcBor|mXKPk4pXL{=E(yjAj*7mSWQ`b6vgJBf~Kbd4QOVJa6s3`SBUgC8|n$gd-kw5FA~2SBbX*@4=UySfJG+HrZP; z!(!u9gq}K+A)_UWj`A-VykxNiWs(?gifyfIYIk}69%&g&N zZK=!ac|(Z5#W0>OKQyFA$j;o*>c%xM``q?Ra5fWBm_anhBs}yE8>DO=c(Vx_;4fpy zUOY%4DVIvcO9SU4wj!~4sf4Jvv9U9KB$)a%jH#Dq&iv;lVhcw$k2Hg z-VOX}V?aqE_OqK5MPt?F@uAo8D+5aXF>Mj_msR|ifJ#mC`R%6zG36uqYpejRxi0O4c16LGj63SKUUR~0+%{PE6zdx$^ycx4e(%hX2% z*Cy-dzXiL*L=5esGuWgMb0EP6Jj+`T`?x20>`v6jh)ukJ3g{BC`3*v+EKiLihc#@0CQ;JujlGAQaQf@)8R0M<&NL$l>5B5V(7Kf6f8p!-yLHzbu@YIf)1!6_n*a z`FFfLC>0<_OUiwd6Q%dHZZ5%Zwh-FC$}aZ$Kd`sF%`<7vIhP=c4NIvcTbjpKpPv

e^sWi66&#gKDd1sI)poVUa9dZ6KN}z$6VbD)&=AvYA6HAU4SjCB!?eFi z)mD29t$p_v2c$WnMv0oN522xcSfcFi&=f^=T)Cg%#Fkmkc55c1Xw9gBKv3R5R#|2tmgl8;-7L}k7RU(n*3^^2VDknxIZnne@&1-#lsxqOyNdCM8&TOt^rO@oSZF!N>$TT529rV@)5B4=umQsZ zZ4He?ubDpg=`+bv%)wY1RT{K|HIJMB_4h<2o|cb7mRXrjt>kxZHlLQyjoNLN`)WVo5oqrbXcBw*N?=}>5aXJi%0K`# zW?)lXF;4B`%L|EjYE?6 zZi*1;JFHDCSJ^d{TXps70@)QnJbr+5ab&kZ7FhUcpO9<4*kS^T#ihq*g@tH%jnH{N z3+CQlU~#GAeO?7iZLCQ20f%tPurP>+aub&bH|h0Ln%P*67-3nR8}ZgoY~Hv#keLmW0XZ@&7Nm4GLG;KR&!os;iJ5@bn^ar% zt|1tLV!z@Lu^x=b+RYD|HC)Rh2sNk6k!aZ&RtL2a%ACUwY`bUYCx@hTsbp*c1ayI~ zDJhtM;Q#2~P^g}(?}C}ImhSs4ihU?kOtd~`fsCA2Y8(%CorPj`!jqjw$9Q1{HfW*! z3i+_>TBb+a>TK?#y%3?q< z(0~ym6iBDueIu?qjs8?B899`pEd7go289z7xC9Kt%tI&%j&w0ikNf+{te+=~I?FL7 z2&}U{PaEK!Aoa}}{SIhR<85brPNE%yoqwj-Dbgh>1ThB51#a?xLM|yazRdbk92~L-CNT&nFW=Va6Isw4@hv6!3+!F=l0qqH# zO=1(COte(wr4?KrGHvrOd#qSu4n#e_7!q1S8{ zsYH=Qx~X5f6dJ(S-a6Kvc(h_d+zaHJqgonh$`OyL7wiLXwf!ZcIZ^8D$^n`tc2d;Q zqk)*!VhTcY|KfaPERH4DCx#**X&*U*!Obd|M$8VAQi8Pki(G9$1OaUB-N)VU@-c}( zK{z^kWBfMM5BDSI8k!NvEI5f#?yFp4{&zX93NBt6X$%lxIC?qFan66b7?d3+s68n9 zDMY@(JR1eBUoPGiAFMPRax#an-V`U zMPfnOzWw-6|BzUXcq(pzDLySvnncd4px)XdtGT=lYOgmSLbIeU1*B&NS!9D1B>WP7 zV5?pSLjj1KT@ZU*vmupjj#p^zuqLf6?AiL^`E7u2oG`%8MpG{3fO+qP{_+qP}) zY<9DoP4@n{RjEoUx00L6sq?<)Iq>$oqv^X1nH4i@*#bwGA5vICX(!#GUp}6cO)n{{ zQhq%iQ{kzB#)_-nmx(@cg~!IZmGj#tB=fa*+q;7Rq#~dq%wFCQL5o}q`ss$5HGg7g z5wd@rCc_HvNrB0B!Q*1Sq1aqOjhRcUW#?mOy z(5jn-$t-0n7kU)T@NZ(kuKR|Wb9JNjcK1on$fy*B+b$f8&27)fD3e632N%1fm@SY} zrcETEtX~O5cc6&@PKE7}$;7ad4&CrzXluF?QKL+l%Qk)F<(wE%0nHDM=VSLzjvUPR z8y57Q+{1iR8HV+)d4g$90SEY)m;^bI;nI^dTo$l^`Zd}mZZq&H-g7=eUEOXd`fFY& zrb+sFH7=4@dy>|kAeDngSafE61GN$de}F4MYRli1*ZjBYh5U+BNEMLqQP?Uj!I_I0 zS^+QW2P8i#k%Pk}NxJcQWSf0Dq%abB)~Sd+ryjm_r2vivywF;nqPKmD{e3W(w}~5= z-$&9$rz9;_M1_-BLb)u6>1rnijOQO4Y3zbr7R|h_5(C(_7>R($4&5L)GPt7EoZd{p zc>3W?Wx+;`aJj)ol`XL%No=4{vjgai>~k%iNYDlAW3Dp~ipnu^ik~_N?DOuXl1)F& zNaWwxV4%}FqEXZSxoZuNW>UtRrP<~YZ^SUL>frW^!(t+ z&pI6BeUx#AnM03J*CCt9-o0-nKcWMG>Ul`sMooROsidnf`S-Q$s0f&`)fzz`%e>&UzgH;U?@= z`McGcAODyWNv(4O#K4N2Wg@`?IS=e7S$OP6LgBagu=&o{2ZFPVx8~s+6;>{xn{MPl zA+RK6JR%A4? zmP_om(>stT)LgsomG{Jq*_Ce!LV0n^21{Wft-EmHqG2isR;pmc>XBH0LYtC#xo7AQ@Ss{iI6@DDOPm0Ov8eyR|(m}}8y0%;x7J?3CWi@EDN@)Rd3Y6Q1y>kUyH zEPu9GJybfHQ^7TtB0>~EUZ;K$N1ttDn+L5;GGa(#L`x6VLpXL|HtQ(bM+RW*%ewiAZMUk zFC0|D85_f*1}vuto7eZ?>p_v_iHR6b5bDW~mokVnTqSyQ_}Kw~ogb+j*_fy}ja+?% zZ(lN$uFyo`fuSAZTVKQu5cG2O744yNP3W;AovaF2v7#5h#4_^%-n0R3h;HTp!COmV zj$|=XGiv=}7Bfx|Sp>de(VDxhD4ckquUVLSRP)F-5?Ho~7~f9cWyx47zr}!>$2ej; zN^OYG$TyS6TgPb=?*q!Cpix}oY}}pDgKMV z_?%U11j=tpqZGnEG|Vq|dIhvs-nM4}F3O;@PDgni@{OtMEXs}qu-KU2=ZJ2Bd^NP4 z@^5S&7&h)!;iBnYkwSmEs%c|-3h`;kLPNC(M5dPaO%Rs=83{xKAd+!K(tomIH>?sT zo`3ldT=Hyzf@}9ciF#SD$cL6$E@>d^k55^TYqc`Ow{oN};d6F1_blRR>sAGpJRUUXOUJ18eqj}F>*%!VE{oEX20&xV^iwMn zBr*OpbiK-ya4RPA6W)WsdAr_3px3@9pOJ+9+b*a#Fos@w$zivS#M(vtcjh1GO@pOK^E?xRF2QX%q%Rs;k2L zNWUC~1UySc{0bHMM@9$GP*g31ruUg7oR1lc;y>+9Tl04Y{aK{HsOBIKOl)R=QcQW| z3&36we!kLAf!Ikw;KO}Biw1LR-IsNz0dI&HI|LH{rDw5mr~1=_QX+D4!Z6C2+L^mp z5V5dw{I}13THDqhuNC>*w>N-r199KU?3KeGNvQr}SqK(PU7L&jbI)acq;$f4FyjqjB5C~X;*WZM}J%?j#Cu#^xJaMNv7`G)D$02nI$+d|~E=?^w_qy{{ z2jwiLx^P_-{a+}l?RofmGwKu?B96hj;mcDssqv}s!{u)XiJ%uJDB~>Pt*}$`yuJkYH zK?K<|--sHjlmud3c$jqRO!z%YEcNJRR)`vIEG#oMChibhRrXABEUdMQQ$6emlhsg( z3+&1=Y*3awZ4H@DQY+wP{ zV9`A8;1bYh`@4k;LeZvCH*GCzeBeSw7Yl=O zXbIk?DfuB$Sl(zvE_Qq7#XT*9LiNza>6gx{^QNs%PNb(d*p<&&-|bFD=byb)#Omq2 zQaAs0+vh7Y064v?GDC*O)zb5U-IBiRc8%9#?6Y_Gr`^X|cRl2qTg<%wxoy8pd+i1 z(bBsEuTaASNa6g8_X7a|!r^D8CsGuEaVOzO`~jx&Ewdpz?XlguWM_xd;8&RFCR6^? zs3P+%%3I96X47(dEOkFAy{XKvC;m63A#J{a6x)USX`SUfC z)NzM7?Y^<)(RpD4Z=c!A&X{R#L8RH+yjGou;oJbHMMj}G+XVFiVhZEtLWSP85Nq!B zxc2GO{buj%a^n^pCEaaF=?`~7xa{PlCT<@>XDo>{`ZQ}gBaq9O|DS3$DP2{kVb z)6rJ^hJz-gHW_{n&W1sUN+qiLGvs0TicP|EHXCzJUC;&tU-&``8-j}Io)}5{Mld&ia%n;d?kVU_pk3w+v?aCU+<2ueq z8fCHYKp7e}8A88TL~n#h!p`IXJgy3KfOvkA z#G*kWLbxgnd>wxMPJ&s=%f{Zpb8dZZrn;*P!97g9;qx^L1%JZszlM zDH>9RzJ!N5VNoKG!ynAf{y2;njr#d~{6aV=673!2;%iEjn;77VguHVZMmc>Xw?eCs zAf@C!2U;)#T|c}pAX9M>>gjeNVzQQ@zrj!Wku2+ZomrCne8bE~toPeEt|j5rq?490 z2E4L48p~6&O>SL0Q5H=PImD59Kup8DSzs!KiQ^GhrV*beCM-3q8UaCTF-{R;`y!2_Dogl}qWm#@JhuiAtper$ZmXGcOX6k)M0w2T`{O&V zy>+JhZRrr-DTTo>U=NBZD6n&CfJI11O5w%C2^TzH90bdQP1^Mu)NaWeGk*MA&a--eb+lVRlAIY9c!40@WK5sATm9YX$?Zew zBsG8|5(%mSC4SF|#_c1b3C_%LBkGSpW-&~s{L^VFbPbS?dV`l~92OEaETZtGI<}!v z20B^I;^(?u%ZUzSGOgy5i*qtu4G5s`xI*ahQb4(I#xVd*M9OrX+o`FNkvudDPyc)! zSc)Zt&G9Hu#<@kndS)i&B;I`2f50uz5)+WNj_(DhEQn4G>tdd(y?SN8bgf)yVj^O7 zl3`hpl#~hklN)~@!?m_Y{1;Ve<;v=05Jt-p zejz}0{5cu)vq68y)eo$n=6>qLQPrI5NTlQx)ybPn#h%cx?rnjR{M4Y*P2DCpEDYd5 zxk{%d@{8Vi^?bM?xNR%hU(XFmzMYxr9TVU6#C&Bm>v?=+DB6|wUPm8WhTbt`&^Sn8 zvYy%AUJ|YQR8e+uOkemlydYM&b8i9)HKn1sKnp#%Kh2=KS7r|RpUD!r!iZ=}ZwvKfj=Nq*TaV{8v%k_e}X`j5@uJHe) z-Z{95n279+tYG-~{x|+&XXYmQ&ykv<07?o-*3@y{;6d=cslDyF9AmAgODJIQoh-hx zRGd#7$+?=bdGU|O)(NNcaJA(8dV)pDyJ~ZEeBbjOl^u;}OH|GEx zm(zE;+MeH$VUV=(4k|-vRF{{z@y?j^&3D#M1sHY~_u{7bidw2H{B_kzZqXN5wUTE2 z7Qe5Jk1-)Lq5_u|K&+#Rx(tPfj;NOlY~D)R(ggGQkejcu4=o_n-k9?)(Vt(7K}b2& z!ZJ-jXtBjzC6lw;=xJiYhf}9P$bbaUsS&BlC6_i>m02#RwqVhmT6ZF)M7T0B?o!!B z9<4|XgTuG8bnj`IE!tnbKW^A@WHV&4*sL$1)o6*)WV*?o66}wQQg4k==Hcf{pym&9 zrBpEq!$c17@d{{A{QG}2)`PR%+H2q6J-|+Wu(iw`VF^vNlhaGQRkZ8U%&I*c^zHTNcm&{U(o zx8LFLXwK%ca0{5>1WT8kWo56~(6&Y>Ti$kGuBfu=*{|n378dRrgTDB~8sL_5z<(PJ zuRQXG3Isnrg%Z@B^X7~<(Mbbt77M8z*On>6AfKHXFSr^8b^j)cqi34qNvbbE zrSg~u`Th8@_!#zn^D3OBZsAG;El?0scMm>|NCa~g&5M-sS9dQHRNi&ovG2-+ zJKF;~v2UW?2?Fj!2sdXlP@F;f67Al5C*}G#1Y-4?ra7hjhnOBgM#}noGdVOZ`jfSn zbL{O=$`x?eEn$5ixo!khifv=V=Ir`_oma*hd*NHUno25uz!4U}Fg&S{OxdtzRRymN zsQKYK6-&%&^#NltRF7QbaI!ICm5!H6ZtFA!MVfn28h5|a4Wv0+LCDbxsM zw7$6()``udvkJX@w6K_YKf2W&9xzCc3&Qub;Z-Pb?4$$SA3S`$M%_UZqOVp=nq*z%pt)LGn{74thIh&Ve>i9QlvXF|!*YSj52Yv_ z%UGAI7g>`f=T@Yws2aO_W$||n5{wgwh8IB`8mZ!d8vhl?0jJ=D%H=|6W`&YqG==}8 zQ-IDKOaOzI$szL2Df{AGT!f)2IDgTT6j&kfN^jGsubbVF6&cqn$T`C|llqQ9r;?q)98i&5Jk5LE$9Qk` zZ^Fpi8v{h5Kw>J$e*r;6jTNRxI74Cq%_Hk0(beSu24RDS`~EdgCK(Wnmm}Pxd<6D# zm`d+cHN=VrI*=0BgCXCn-WH}+8l9C<5T%_MTnv4LMQ|1e#wn{nd4`R;$8SJ4@JMyY z#owfq-f4JDwAFI*l^{2wH9HRfVf?~q$x<1dlsXYJgQc+NBH;~x5Y*%bBTxtsGvBX) zPkz<~urW2X?gDX}9DBMiQpp7q409ua7xQ_|&AkmD1;3Q^`OCPZUflOQo-4T7U4XOR zXH)YHmz+>{ZIajiCim zsc(#od)2G)`$)CWa zB$C?g<#oD5l{jN046WItN&kyr(@3PREC8Y6hi!wi_$xGAD?#}^!RbA~=jAMt5SknM zuQN@36noHh6hAH8A0rWAB}AI;9gTlt9d~Fa?*#p{4`;H&ieb_PSLPQ3WC$uV{PwgX zKwEw-2ZHci8q_($KT|S-dJn`h=qkHWObzJn{Wg}hLU%3yDs11ZAAg)^MHKTd|F$!W zvQy~`nOX60PS0_FaPj=*DI2*yk&~u-Wn#E7l;p-Kw}Mcr*Nk>u=0o^jf!sA5ld|qY za;}vYM$RKd%=@2b8rvx1(HQTfZ}{~zz*Nu#Ad_<>hx0h1atF|l`>;>~{)Ixg%>AX2 z_RiDjAM}LK<}x`@iJO2=jy!w6hFW3B%J?cjhz-p(9oRBH;^d@CdI|&cwJ%OE&dhsX zr3gl|s7Pj20jUC%3D`a&dw=B<+D0XuUi;mX@|Us--OVRB)%W(D*!)}?(o;?XQ1pZd zDIHg)RgvVJ_^YIAqEu6m*Ae}*-Xn~`=UicBp9}6vaJX{PZZ3pg+UsJI!O(?I5Y6&9VMeW_~J;v{m zv5l*GGNV*amNq%QPGC}@@ql~~8F$6U?v_`cVn0<7o@Pc<2zamT263X5tT*#+;f)W3i^J>?zeny} z1&s-azn{lkyr9yD_4jygnNTHm9{LUYb^ns2| zS}F9I=n$i4w_ev9A=nWT=>HQPva=I0r3TW2lK-Fd91}D9e_=4DHFWGZ#?XCNYSU7| z6F{(MzLc?Gx$bzNGw2)KFt(}>Ahk+txf7_uk`ga#Z`>^`sU%p=v?10Z{{_mS@g=zW2bwZJ*%5&#wE=>?6VAaTiRq8C_F6zwkE-;m-phqCAGkbb0C;UCU7(~ii ze~aRVkkXQb4N(EitF_-$}ut?N0B$TEV6U(? zb+EBA1M#j?DGT5MC~)4Pv8W&w2YMSQYCF58;^_X6BACf2f6%7e)i^U?H&{%|KLeU$ zvnZD{p};nMQKR(`XsB$qcpMJkRReNC&TLsGB>91()o6#F!SHq!$!6-7?@AUDp2@ZUgI!Y z7ISHq>l-}j5b>f6yS(2c>M$X$N3^RSsuGcdkryBv*Az z)d3OkC*P+^_NwJSy*%~W8jlLq>fPGYUpRo}ohz&E)Q`brtFORI*ZQ_8Om=n0obJhO zbNkx>Cm)4Y+vti%ZhH=e5#Hb`0OIa^Yue;bbW%`z?Jcc_FRokVwH1 z_c0+nDB^Ap9(6Xu7`w=Im^BNjks%%+q=mk&TybWqwyGox)cfRL@5x96oxRUYbQ6?3 zG#w#_0T~r8SvWaQI0A`YA>|2LzQF+MaY?UEM2RtxWo>ZtOi#33jI~IDF})}+qa=pT zqe3Ikdb-NWafb{Q1!7FJ{l05poNYvZ3P^BJSsKMG3B*7rzml$AL;KP`yQHp7(wB0y zxg-<$Em7tL2kErzgSnxTNg5yt7cJE1F&Z%7=n@GJ6VzkI21*F(DJiPbb8JB41W{!H zM{SP)KHc$eg7GydknnsIQhc~5cd_IqGr$R=BzZ4>bg6DEm_z8-fofDr#aXYFD;{v^S*%SFnvY^xRRzZ02% zS1L;W-I7_BY@M0X=b6H09{HIb+Tp{RJYLaw7=8lhmF;LK{Iuf(Oek*m2$;X9u2D~J zW8}hk8!=9F#XR&nz9k6szE*V){smx&;LRTd5RmiJc+#CR7mbz)c)it$HPhd*F~^+6 zFBqqote9(9YApC*NX)*65Qt~`#!FepO}6BD?IU=5;_e8dRNOqiW*jb7Fj%X&NU?38 z?A-Y2k{M2p#Kn#RY+IYVWH+NrBU-{G#vK#oJC_A=N+knp@9yMTWLCDeK(~7=y;{~) zw|8}Oy`?%rpl9f^_3RRIiVh$=a^!ABE#TeP+HPcgKV%3K!YtSM^@RTr>6e_TC%UAb z8QU-AGumBz1QYBe)ahlcK>YAyw^DT1K=U+7*H>Q`T@{-G=2eRun|Z429=^)(4+@8V zmy8}%5xFOItk_;~I11X1?x)I&^-`43%wfjTpgBp}ex?=CE4Q$5Z|+(E9pfALN_{FY zy{BK!9c(f{@zR{wpQ+bJE(jQm^YESMWnKHnX#75?i*%MW|PE`JB4b?zn2j181-h|4=)81`!4YPZdw-k z`T3S&T=-??DQq*JS{fYJ_3Y;Xwi`cYt^ADZqN{DStL6CPK1&D-R+2Bd_LlaG@+}2< z&@oTr_RzO=TMa4HiwYaAHqTs&X*C!rt+<0Vr+T0^pNlacH3B7WNoi(y-PWmB(aUY7 z`IXgfDXkk?DorQ6BW((uZQFB={jY;vi$T}o8>8|}zBkHOgk^>9yaQ&4?D@2ilD6=X zl(8l>0z0-Hpt}vxj;~=2JhqL8S80|ZA2qP&9~8HQm+cG2sr_r9sHylzU>GRO9RH)$ zu@JGavvYH$`U`=hgK=;(GbbZMQv#aWOjY${m)WDdZg-s=-2aVGBFO(dxIj zu=rcKGJuBQGvN7<5p_2^1$7J{Q5{r2wr)Irq3xNgK?~r#rbciq;A!}3d0@8^AhkRS zA$f5*EpVdzs=Sgi5plqelIHO6_V&!(Pg7V~S%vg0h*G} zdVT`>KQ5n~0ml14X`27`7TnvYu>VJ8M^be;zTd^~V?^>Fx38UNm2X$6ash?1@a*bl z$UZO&7{Dlz{mCaYT++`^R{hT&ihF%a3TG3r^0&L_59h?}$iVtR@4+{v80f1c&Cw6( z+JN-t0KP?m#h#7LcWur0B*T%-EAyjBi`jBtEdJYM(enwO769&YwAlFWWCmoGxxV2i z_Qn_^y4uEHK>_F)Pz)^Sc`N8Ci1Q;!?lpK*!s@UBvEuUf z&Cboug2vn#L!_;(0_n>U7TSQg{8&o?!9BLP%@9%pd10Cp`juysZstatn1eDweKCK* zI)Y${{RDDh0mJPBNX>u(4|l@A`-q-6jUbuEzN5K-;GBMhvk2ADekA08Ac}kEB;}8K z0srRYUSv!^;S0gAi^7tY3&QL!Ix~~EA>M(^K0ii zHfJ3apZ-$r8~Kj-ns7c{V2Jx``UL<9tmohI1NBh@R9k4}suH-b`-JIVY zl>!J$y?42?xIq7!*hlZFV_Zdf1kf*Ni%j|qN0`wNjklfttzdd(FGeL&XEEn-tQUK5 z5BCQd2DbgyIvjRuNZ9o3p$2Xt&oJrFt={42CD%~g$)JM1#(tl8+b4;DmOm_Cs023~ zr~lA!K~=$*JwdlhZkRD`{`dVw1zMy~5NqS{$}vhS-Bzkm33sJkUx6js>iIUX5_fNs zaQ!VYayFosa|Yt-3lNEoQ##)@DjhBw_=39OP&R4=odRc-uZ0)no$5gKY; zC}J6zcTDih>xbJKyGuL5kA2SZ*DET2{ll-Js9iE=DXo-C(&n5eZDT-uJ7dzAZhl9k zd;QuO;%A<485Jn}CVa9cBclw=w#tkh>44DGAT~Rw!&}9Tu665et%rDwtD_~*?683c zn^hEUI+f&d@NY$&I*;LZk~Apv7DNLP-eNxiv-4V^!MplXV~Yi-zxtvss8MCLB%&n) z1N_5n-ZgvPL1Uxa$ufY}t*S)hhA=g}l+N!MD7wm+5Rf?+|4nwBIQIl=?^xLHa&n%B zyof_$_e~u<8;7aS!!E@v)y2&G`+>UEujVLIH1+I{h3Mmke-Bp;1_g49x>=p{DR`mY zGfobaAGZwlc${J0c09+UHI_}q$#%$DfWEq}Lvq?q3I^?t<_6SefypZ+QHjGNU$Uf6 zD#e+nuo1+H;2U8F*O)%E-Aw(#eW7AY{qlkAn+x0DWOpwe_(v}S+L-I#W}=@FUP z{_W-p2d6V@h7UNNOb&7_FdyRk5+Q%z}c~f8Lgb{+bF!*>lW& zQmPO2o6RQkeK$h|O52vSp!bN@Ay&vZnL=flQemR|P{Pq90;?J3Xl#>EDJ-w%!A6j= z{7Gne(T=VJ1IgdGT9qNxY_J}jRjldhEteYD*xtoPp{O;rB;A&dV zTyElZgy%GuyB6gHS}OKrz`lKf#6aAMPf#aj`%fThrMpQ{M=5^Y&n-R6*Oqi9&>9U1 z71WiP>N=pjA_Q7mTC>Sbz_>$O$*}jnSSKgwdes|!Ipvqn8hLQ@ zbmS@4TY)evKK*ZZfpYR-SH~B4Kr`(tZBrBlt7faISGLy$V#+bmgNKKF75J2SzG@-5 zEqqom#bwYd9ixNBfVIV+d!06z1lHNasLmTummq*C@0i6H5TW#w#@dDkOZ;-~Of7L| z*GBD-)YDy6T(1H{>{IR5t4gnkN6CFsnQhbEt!l_*lTf{ijEjn~1j?xoXuyDNIE)K? z71qzC$gn|@D2Fn}+)hZ_1F~mHh6iRFkRoU#y%IV`z2Ue2=X`Fb8{F)X5Hrw~r@cUP zj|2cyJSnqBVSD6TH;Hqjxk(3{#G!EY-nIORjXJzYd{$MLut=G>xio--g=at1TVA+c zVN#24-d}sqk8L>rK;FcG%C!(?r!6`n4QA$- zyZ`dW^uWVE8|xvKv`w}yUiYU`s%3 zO!_(Fjqy;Sf69Sy=iH3Za_!+g#V&rR@Z~M_#9{x1UbXPMWob#cqY)+WK30LqVNV5E z9K5S(;+yA>v8gj>;5K0kxwUsL*PowO9?KiF(hA+lgi zM_sG=9D39re~|dgmO?z%Oh28`1A+mvFh)U?iBZEbgRcZYJlFQB(TnDFD2?W}YllFI(w zeD}KJQWA5HFEVn+guy9DE7bnNBm&iDm~l(j`|R`t@zP=ZU{D#Gd@2w>3u~2KQNymr z!7yU-E-M4Z*3#4&$u{iqLdh&@RVZ;Al`!kzFz~f9!f-uK_=_s9LVb&};Z(b9 zLp5KMOb^zO+FmtP-Vzy7h;(PTp`9(fcc_6*I!(S}nhT!D{}@!|$^-)VsyxcI^MhL2 z%M8U@pZv{Eq(QMe40_yX11$>1XSd_d?0zz#f?| zKUm5;P6E2?A6Uq56VGoLW)8l6F@pA;3xsnzZ&E)l`L=?P%AFNdC43>uP@owyeX}w` zzB8V!H_VI)D^2YQGv)-mVP9|%p9y}luLW*MLP3JA#%sJEdEo%p<=xDgii#<&+%0TA zk-JX}8A)X$M6B^_i3fu(&n*^o4n~mJDzXrP;rnGfS(rCy6w()|hz3pf%)PZKe9`Dx z3*Ob3oW+0tDvRTxL%yYjTSn}!M0qzzUmb!EUZgi8b^o$`M|QKNfSdF6zE%m=nY$cWni57=2~;U^wMiyi<$TX31a_dSL{&HZtB9bF;fCW)0hY$Z!kDC=hhN z%)VpRDkQlYz{0Mdv785x)N`WU)?qJSLyxg8mAS-xcr(jCpArA1$v24W)PIE0xLP)>yW8Qa*P0n8>9#qa=bTqcAxU8i4|AE&tvhIwNp6<3g}E0WH

;w@8qIyHz;fyTipi!Iff!;Tl{pRL-h9^5Wxb=@{!I8&OFvetd z)z0fVPgh~=lo8#UeKoE4X*`kL^hD!V`dM*7I1XT(J^uLiOr`*3=?2oit}J`tIIrpc zo1vvE(6kD;(6afuobX}3b8Tve(j-r$g)-NguiN`T|4=R`A*o#~O0SOM zl~+y49S%Z{29JxG?2J5!trxwo$#gwE!xyzY1PFP5KOzLU=q^4D=(Pk7m16TCzgf>v zh{C9LTt@n%C$e|c#vNAsd7w@be{9CsasK@r8ng${$HIdCTGuA-nSefi-I5C;6^%ei z(YlvDSoxjMIo28C)1vW4cD!uCd@Hy{$vOCTmr;>xa=7i@w=4u5qVDR5zQ5fRz%#}fkbSh5X}U%qFaNjOFx zn^RZ-3E+FoxUC8fXPNYV=&1R(>|P(yDff;eJ5GZMLz>N_?IwT4AX_Pa-5bA58I%%^ zH9i_(M-av?BzX91Y}D~XqygmCt`{{&Z_qpa)^uq$?b;CG`Tk5BPFQdkm#YK4XBo4s z7oUjOB*Cg~ravj#V+a@_uMFj)){^Nh!iPnGS(fP2cZk%Xy>kJ%(sGMlX+$PwZbP12EBN(D8c~U1NY0}iuyh0aayp&yQ#;$X{wg-$(jkaHc5A6D``0^5NvW=kxmT&tbWM zVVd47-K>hksLRYQGxgWJF#RcnBs@a%6I$JSD+@6p4~Ft2tIGZ^E(-+tQ|dX`>03Q1 z*g4o0oeFsaiRouX7dvk$v$A=C6!35mL}Q6BpWM^6G7LL9Lzg_F=pyF8C+P^6BEBIcziIvu8Ijwm^$%kNSfj% z<^q!vOd6S(G8Az}F&vNXVY)$)-Ej&=YaI0uC#O%K2aOguO?V>C#Nv;$t zNn(02UU+xj0dk6Kiob%J6oY#Jw%$63)HEjj+g3W~xs}Y&-%0dQ`#JQ}e_9warVH{M z)pMOQ8_y&TnFqMOOs+lfj7uvgy3~6bN;&mt{iRRc505FnK{A=YwbA_>>mRJtV(cx` zPf3{8Payic#sV?_)~Y+Ua`u5_(0At;XgR?~%323IU(qj?TXc%vF}ddgOty`7^|;fN zuD=KXD%%9l&cpBY`>-|n$+MPKTkS9!?sAnC;Ea@hnc5)^LnvyfcEPavuzBUjIteNN zI!Pfbor|k(Zb~#-WtZm#aAob!GXCH#KxNVbucPRsdWA5smS|qbCc3b@7Yw#uM4vas zz*sZuSMpdQ-Qh4-vY@>H#>0fo2K~x?Caey&;EdJFoJI4!=VmA8F!YRKa{jamU4^qj z_FGd?sV|s#u(?p4M&757t=d=L(bdVsK%WeeIAna=K(gv7%oLlXZaB#JPI<(Zh7Iak z4Qc|josFb|V!!uaeGrza?8UF6egw`QXm=i5D^y}6A(NXSRF0PdT$gr2c2x6nb_7EI z>Ss)#s1iSW*RzpP;rE!z}#D!kn0O)bE$LzVub z*-++INKuJq3F12p5L0LyBVuvyeJAY$X_5vv0?aWuvv&(_0|w!$1((>1db|j0Pa>U8 z8Y$#!S74k>@1!9mcIZ1WL)#`sZE4$LDZeXL_Q)B|FOPy%(v^AbK`J}@-PhV;=1U{# zlDo+;rQ5@Ymhw`@f`v6(s-ThdR5}cE_KRHZh9j9F_5Pj^kV%)w0qmW-hsWWOdmINB z@stvijJ6LEw#dCL6G;?;l1|)NL=nBI$6^f=Kd4(A-UX%H^|k8DIy5Op&xhH9|Gf6k zOaKvX`cQzh2HqC0ij}`)p#s`&-8h;Q!KJ2L>;OOjkKr2(QOcAu%V?DSwVVC zU>nyGnGK{X_BeE__%%>k++2u%C`F)|PQ1hGbb5FQc*>QBC?X3EpZtxmBAIz0N0f7b zd6XpB4w1Q9t`Mym6WqZ$x#2|mFwBi{m%~s~#l_7U3vP7ExDYYDR{m6tCruIp+xtqhLd;Yy$KN44o)lFOfaJGqI! zSGLn;fO{t;Zbo?pq8{X%dd-=nwkYccn-%?L>!InAH0|wr@72CiHi$o~DMOEk|hshB#@D+yxD!Syuf<*xn zZ-$Ra;i?ur zdG=h}m^8M5M;X%vdC3*jc!G+LsM@{Pr(;5~eYP=ayB`k=u%e1!X*pgIP`-e%Kft9D zjm+DcLXdx|lXRV2qNp#Jtz?w^w!s#&tF!6Zf32;HuHjo(qS+a|q}&=Ec)(5y2r-o1 zjag|nZVwOD!LvT4hZ%kFHT|6^85LH=oPm* z&*2B1v&R0A-sw@51J=$3%1jImeqkoTOby(l%Z$tmyP7W7CiV?|zi=cFHZ#c!a6)>G zn^fN&I!O*yZ|0zfD_4u=+Q0GPP@&~T)6ebLbmQ%;_lNICn z=T5_uRL3e^ULy3j$43kWTc^4f_%g>7t8YXNz1=KcZJ>A`(UpycPQ?O6Q?AkXeZdP9 zI*{v;9R`+{jB+Xe$VP_^E}#r01+UZKx|O+L%#pTWzf|s6k3xU%U*mTIe&}eAgjH5C z@P1LBRHS42haY;OQOFB8at)*QOHg~XZ&u+TyXQIP?pN9URd-!3p2dmkZ7Rhf;*K6u zO($^Ic@>5dXZz zkd73bwI&`_Pt7rI`p{Q#+=H4_o=mAX2*ka;z)6h6V|ELW_RONpmqkOdm1 zwQ+u0L}EbCvktKUnHt~g1^3oGvHA!r0^6mNH10Fyt~q-OZ>=8C==Y$_L1Tzh#!w3i z5EWhsc+9*D?OwVeZ>-jQ)thW6!w-zkr?vYZ1{{3|leaU*OQ(?NLFI7bl4PRR`f+9iR z2k`_hU=RyH0;U{kv>#$x9uu1H<=)A8*mtm4c>9=pR8!Dk3s)R!BhfzfGehzT+q!fh#H|}#L(or%&XFsnl1oo^BugoOV$q#AV!_(Q~!0DyS ztx}C|3S(luY(Qo-) zHyYLs5FianYuZzDb);!CkZlYtKI>O5rn4UJInwln4dc327EoaU@1};sjE{mFtj_H* zCMPnlnWhL2K=n-`|9vmZsG?7jX;JUOJ_@71$I-sSR^cy#)g2HY6!cr>?IdvJ*fOC2 zy!_9^J4NG91KC%jf%D{^yYYj(B~MsE37uQiChO;Rv> zf9&s0qso{Y1q3G5U+h51l&_5c07F2$zZ)^0OHgmu)9RD7x%H0aLjzvSh5b{_ZXWn2GQnT8 z8REINJL-R!cegoS>arSXAQi=(waT#0miq6F#DfZ(&+|wj*q9hkc8gN5llL{rRHsdqsw+b!wYE&=x2ZQVek`lRsY3;M@){iNFgRDVawA| zZYA)@fL18JRN$tVjlLD9SAgh7RrBt{dz-ncc6E*D{Dw<-fgJ!8Qcc%#W*5!feiGG@ z^*3(x*J@juJ@@~V&h~Sn^k#Pr(7&vLV4AORVKwrw^vHjnm+ZlWo@M>aI}qN7G#t|T zOrlRV3y5mJCxl02oz@n7yM{w&s-14(A#bo|dH%FR@0fi=MWgS7b8H<_;AABb? ze9SMs*m;t3lcjidIFr3^y!*&pcy&yd+1FdQx!jp#Qf8bdh};1bbgN)LAYIi1jT$Jk zmLa!XCmZMq(`DS~)2j0Uy1VM^@n^%AK+&cPE(=7oC z@RGN>quD{^?OEm4@S7#42`z0Gt|{}c$`ukfA#xNNcd*y>t~s_&^S@q;v?5nw@FvkgI#;iSI~p8>R32s} zK?u7>>W)1zKQD=Tq{uBZnXnzHG<4Yo!ML}Qq$)J#zoqq&>Mb6ex>47(m=Lwk4rA3`bk@VBT%(2h6?@>Q4vh9CyphII^kzr0{;wF5v@M%-rX413q;7${M9Ga_T za8e9Yi2&mt;>_Y_n+Z>6BfmVgpz2Xiw_&DuJezYm$Q?)8c=nTXOxf z3K_albLc3A4#iY!?Gj9b9BWq)DO6b}=a3VLUdNuEvY+7fPI9okYYSPBb@FvU^T7!l zX5k9n_l`CffyBn`$**%jk~Rh3Z^;il`mi|O&i<84ydB{H^Y44wBYAaitBIc~=QcIv zwZCdCOHi>r>Z{Ip-K~v3A(ww@<8-6>(|77W#K#z}J5#WY2+hEdYtCzv5#+mYg<9gb z1|=C5yvcS6R7(8l33)Fe`8nS-eLE>IAqo054+*eLbVat2C6an=E_0hI&=&)GgrlU&w|G+zMk zG}^+l`&xoSH;XC2GgyzJH21{eXY{`4?U+xre%$l!L}9`>Q^@)7;!+W!5iOn4Vf49!V3>S` zZ#t+CQ<)&J#d?M50olfHk#fnw%7N|`nvpP0+l zBqK1P;vb7Bl8p~7MoIXEOE!UkvCv`#^bRpFNwv8>hp|cs=J@xC)0Mo@DJn%iDr@+G zVM?8#;UQmOmJF!VEisbXBP$hSsZ!EWP_OjBoY8;9Rk8&yk042`#jmWXmw>>9uBhP{ zr7k+(U*3X}C(gc|(E{;j2dlfxv@AAz_B`f^E%?0L zsDRMVi46m%{47IJtm$tX!dbYuA&S>TxxP=|P14x{AMh7N42Dblzu}rO6!PVT>4Ffr zo~3{C#zPn3Q+F>g)t9C_vbQy_Gz1Hr%o^W9Cd%9*O4aZ=s|+)~urfWPH8PXDmsUeO zT4tw$ePxXCl$q`Qyu(oJnS*>OpG{`>l}1!9>*gG-F+UL{(Pgms=+Ic_C~lRFq-*wm z3%{*;>1TnH(k!s#r0=4F2@$*R2b)|3*GqT7Y@C&pf0tHhD1Ns)Vnoy}Zo1*Z;vHJp)pMJ09LQE(bU-(@D-y-yov{nv$M(@Mt&&PjB z!k(yQoXP3js2VoJ0wuW|T+vBffB%k=oKZ-ZqH?szQa9_Jn}fP_H!yhk%%$&jkuc`D z7Fq+HbyqbH7g~`NWv&~$2J+VNcB$lV1shxkaWi+!Oy&u?-(w)~`3buv(6Wv?J+FA` z6d}lVmb8rmi!5`7c1%0O$sJ79x%%ZJl^2K|2u2E=br z*ALFt&1ENmlc4V1l1@@?z!&D%e;PQ~@F6rL=2C!Y#t#Q!dDneAMQw6C<95%sVusKr zh^l|j zmhjGvww7IPS)>yrCvFxt5A_jd9$r6AJv?%fgjIGv1?zcGoVb!1pmq#+@gru-7RRWU^DewU)c!@iggbvQw0kp4Na`7R8e080 z$umsIAN2n2toJ72GPiF-o`PAfoz(W{aOr^@l8%(>IcJJo_Ol1l6v7*rmGQxbRjf7O34 z@m+es``i$;o07+mmV8e{pS>^(fRl>A-}+@WygvJ`znQ6H%h@?F5_<_QKT157yj+30 z^Ln@VZbrVr2dy^=X$KbmO($!{UH%y-YbLW3BE^3y^r;n!15Pk2lgrssY-W34G#qtK z5oOR&m@bMg4R5g;LB<+N+G*cU&hs&U{ppc?R%~*cxBlgX=ywE^{z~+(PBA4)@^2dP=?gLN?Om~uNJ55rnvdKng|`b`8xtNYJMK8a7s|3n5Ti-!?DA9b zN2BRa5dCAGPN1FTc+;!$$a$GzU&{*c+!L3Pm?yB72CXdx7+7I#Q7t3tNZUn|(Ccb}PMe!;jRr_+HurJTsB6{UWQ&P7E za#NZ6h2)bvZ^S!d;iQDe`73)1cP`}eZ5J9-GzOQE%H%|L4e>D0TszM6jr+V!basStRHMFx*$lGyfp^oD^ zj+T=ET|WEO0qNf0MhMSfy8DWQVBX{mg6p z@qWZvuPe4YQ~%Nt)&x(GK0DG(7H-0z9l772!>n18AP{+8NqxB6HIxkxl6j3u$SVM; zQ{x0i?C)(WQoDLSP5d{syQq+3t?r^zLIdzkV5@Qh^Dl6B3`Ftw9*yseC_L$qM&nT0 z)w8A0<19UVa{P1fdAfola$7;USk59p|K5M+}l>8dcS59pu*(Gq`gtx)QRv59pU z5Ko?_m7O)ai<;|X!_`+H?qslQ7g~nIBy&X`&xPszIuSiWp*4ZNOCiNU8B}P5jv#M_ zez#;*56dqtX6m0ZZK zvm{=+`WYE2mpt zG%fw-!=ByWKR5m1LG}IDXtR$@#B}Vq4#F`;$|SjZEv7r5vXN^+SQiAIR<`7ZwBmIQ zUNPQH(Ff;K1E)wcA+Vi%*6PhJZF<8;!oz=cIFC{Hm8cBZ8JBGZ9B{NmyhT)#$tEee zAF=-|3Jz}ItWkfG(U|zfIaC53C2dhzlBS@MJuIV4R6GHtL%Va~1ml%y7OZQ0NRN{10?IlW_nd?Gv&@V8#u?oC!R}tS@-Mb-vUmPwj zc9?!y?_0;@cv;;ht3X#5av-2(_N3nq4`)KjBa$~V$e(`{maNx>6R=Z*3mX}*uw3RX zP|P^n;-=t_K7pP=)cdX)Tup-1DPKR2Ol7NbpN03F{|=XcSRVVrlrJdMRpQgZDXRJ z$*+I9V(b|0O=w<3~45RSnQx477k6i0ynO`36dwl7e)MW$3ZDO~gQxy3@-q>+Dh z!Uevic!mUS^_votx(48$@UAM*n;J&Ng^6z(^7DYQl>rPETgvE9@cRuTwV0m6ScId@ zHQ1)OuLe%PQzcu>B~OmB@6Bhn3s&9Kc(%gE1FOLE+}=LPBuqln>lLgzr`nj#fJ&2* zBxjkU`F)Woy(+`qw21~V;E!(WwakAy6%YxiY`uQZgo23@o+4pPYZIGOt$XTocY;{- zEUvrzf(e<9y#Kuk&^)HagHoJvO05+V7S!xDMT=R06dnCm;ZI$vK9{l&(a^{=iQrST zFep1+OMyBLbo;6rxpU%hzdhjtmD0{vph#4k_s!>s()mr(jXv;g7b-c%!e)Ogx*jz= zXTIK+m*y55-$P=9JK5N?m1D`EE+fcp4}Q}{l!oN9c!P;>fJsTkV;=haH?%##(*yHX z4)o-_28iyHY1uKmE&RndmxQNwy&xSoBN;Lz&pa{{dwUCd%TtJxWs-`Lq4!RkOIXpH zxBSz|sTI2`4O5US&a5hkr;C45DZ|`cIW~PdwmlvXg=JX^X}N52k<&ADy6e&vED@}1 zF8yrQ@OdFVUKX_P_}ysIgbDxtnmd~FY`lZ(o~ZT{>t#30pq~$3816p3?s-XVUDUb7 zN9Rcb#Sh0h6_^M~*0ue78lAWIW=toZ*8FO05H1_KTxttDI5*OUZ^?hFpxo^CVryIJ zNi!SPnGVZ={=TJpJAhyC4#v=XL@8}d@UyT5RWlTY=@KiuNk)75j6Y5tOT6`(s6l1d z&a2Ue9z%zH4kY;J)vFI2iOpZx+Jz1nCrM&FO{(OKrpGkbVT>R8pUqjZL?Rn>pu8Re zN24;v<&sn_skpRtej0y*p1}o4SzZPaFZJ+eRZ3(ETwO-XyCc+cyhl}GlOlhm%+@x;0NDpBJMcx} zneZYwDet!@(ctx0x{#<}P|CU(3mTr;2Rl{BtUH*lg}5=vR-Iyfb4W!8s_9j{$dirJ z%eE~rzI*|FrSwf5Kox!+*uobALAsS+c!JsSt^p=s#T1)yGCm^Smky~vxM^yOg_+!H z_Z77l1!(i%t@eM~zQZ!&UTA;cP~0P#lM4syno3~QuTz%#dVNIYJktdZB{a_hr?Fm1 zV{8x-#83p7%-e;SX2@s|WMfa-!P-1`?|`68!xO$OLYNUhb$D$~1&Tah6yp@@&D_pI zT?jCTgP9vz6;OM$jGx&2;QuAMlTE{OzU*RXwA^;*FEM|f)4dFPuVmgm(Fn|X1gBTi z4mdS1uCa>N1hqUAFRCXqjFg;*WUuKjB&;ZX%OjL+I;(NJSoL9eII3gU;`y4CL=Td+ ztj4EI_}p!@m*ii!8b40iGUrd`EF)c8RyAgyB=0!%-QNa=UcfNV1`b>lpWv_*(s$vTwhYgq^tubAu1WJLJquvKLwW%EihMT zjCd;@CHyj%!@GaBv5AYJOaWCj*t?nJBs2m3c$0Gx#LWuj6E8(N67?`SL}>UcTM&tq zO?aR_EluKsG)EL;9OUwDs*D6UhM^1Rywz!l*MWcWnMbr4hnacw z>UPUdhM|XzBwPo!(+D*ctMv-?Sx+eDHQ6u47JD<%+}UhRUxn{m!qZVtJYo?-OR zQ(J#_X|DAPh9bvSlZ#o*GF-CV1l#x;(>ezQt;0M|M9^^_ddm;4u(SA_o|8W*2bEe~ z56Xt_Ufk%=5Bt_9vBa9ADJB5w5+@Z^c+S(Y>MH*{=DE#sS z!Ap=>5e646K;c@eu=xf;hrZ2^y>YSX?lXUHtEzsk9OADxzzp@8s%OTLw7-9IwP98T zlt0H|&aevMmiskBOe69`=8U8cT07;3kjUV!qT2ZY$@~T%8g-FSzr%7*$QTjsWej+T zqu4OE=8nS~-Pa$#HNPvFxDow$xcSX-W8!#UM-v&8z1A7KnV;Q0dX9p0Kte^p2cLgn zvnJjF8p|DH&2_wjhK+Z{W2z)|v3|@nO<&c!JkkqSJcxB`KxdSd@$k4?x7s>U7?(7n z=No6Gl!5R{1r#ZnEZ%^NwSiA7664%oc{vxrn+ylhI@rlBDXK#CcO&?|7MMlhoq%xm zM&#vuK2<1Ce$Zo|aDZ>!?TL!|N}Ye>vT)Wsc>hA|S)dhZP>*~4v_w8ZyNoMEJQP+2 zxBF$HX^YNmNDm!@dx%tLdsJs9r*nlM*T_Js7N$4bTq!4ZKO#E6&&z(osDQ^ZiZA4J zFCL_|G4({0Ap#2*tk+CSUDv{j9*k@qD;E%s0)@V1XyK6>L*X<%zB+?t;TnIIo@7&< zxRlls)#u-GKeM*DmqPr@j3rm=-G8mVd{!9)QFhA|uHH$a^oOo|+GQb_?n1Tu50G_M zfWBt2r{|0UwXmSJI@*f@rsP~05aMIDLvW#en3V5SxpA?AYR(*w z4wN|9@o`z8$!oD$1jprki(Yn7T5Z+c6oVYyf0G@$w8s<@{1%VpTqJ=#Du3LtPbXUqBQ^1uz1CDv*j9d4H;ig!MqGxf4GxA{ILDjUC3le`x)6hVkWrLCy$=sx z<(sO@*sZH^f(^Vjfp0i+rhXfk2!D_!-$B8VZJiX#jq2qok(UPc1?{s2d4Va!$tpU* zUfR{rUaT*j{xWyX*x7&Y*FP|3;5z&68d=AKcPo3~vF$Ut98LpZM`?z9?M?3YAY=4tJ z3e*ZJa0gisf3wFXl^UIRJ7GI|d>~Fa8smi48ccBSIAxDzK-+)4FSmzLz-Ax;Fl*VK zizS_v8M)boIl}rw^TJU6>Z{^iSR!nx*W0#NxYOKmZ%9WSg{{wWSX1#FuCK`es9+K} zYx7O8inXBo7Znm68Iu}SMdhvX%{Ao>;S(=iWi{Ba-7jHTMraS!n4`k-9D6&l_SM;r zs}@<~1kalM+CP7aTe_2#HKu_LEG4s*-whQtRr4swGFlF6z9J#?BUzjdMs%DcbCR|1 zDfeAe5WZ`eZzy0TmF(3!gLQzW7b?hX=i^L|W%iUzLNg2YO3I$(fi9E*C+66W@^x3f zjCQ!nJHjp&-~I~!X%=}u$f~ZoG%zSUFMqcuT82GcH2{Bkm9cykNwLS!+qeCDALE$- ze>x>A07VftDpZdn4!OAh1P+P8NhsERulh2(y#fZEQo#0<{1tB1^2&)A*>!sTEI~5e z!!`iC7K;$yW`8HhIPLIaGMy_Q0=)^(lz7!bJ z9{bvH#N9Q9pyN4#j_u-F{>?4?ogHc)evZf*W zv1C0IK5Z1YD+mNr8gLbemDt@**N{RWAzMd)B~z zD@V?#;mbtAVD1W*PzKX$(b<*s_p>KO4#<2vlcj}IsYYFKbB;Pp%lcMvhXJYq{UHa) zxJdq^oZy-8uaK2*gF8iqh6R z&bEG;p|nXNk)7`-T<$dvW25HDYgSf$_do~Cr;;(;g z8@R$64;v=>70hN+`N@uc3KYN^_(4zT#Fea_Y5X{aX6q)jaB(TtwtMqnG*t;d^SYE@xHW$&RZOQrAe4vu_t!@?#8A8K zES&UtLPvQ#q8PUS^i<6fejMK_W7B`v3pN_!{$o5I_ID$Yl{c&zEI@hu^AW2$_ooe{e59`iXoz45flx zvPMq96S)Z22C9PW<}Nil-=C7eS@})Blp#-_faQebLWUX~8cbzOSa+PhR`P!U{Oiy9 zut0PnJ{I0R%8b)~FC9K?2J6;dIpjTxTw?=+1aFmPS%f^fP{9rOkZZ!`EY*rHB7*#v z=)@`umypzJM8v|Y`e<(Jyw3`ZQ*|FW!o-QjeAcR%FW5z zf)c{9|6d#T)LsX}bqhGQZKr=>V>h;K+s=w@+qSb}+qTiDF&Z0P``HKY+4l?P={?3Z zu9=WY+3>!R?KKqoR}I-*o27UT=5*iomPe#05-6{);^Xt z2DZ%xFW3={){^wu=4#{4zVSe}TEKH;)kOdT>*PKWmMT&g3$Rgo_q~6{Ej2lOQkz%B zom}GCI`GRU_w3I?uc8|64%($1hNEQYmbO+RWOhcK36J)mQ(9=Nq!Y)(7%WjI>!UU> zygvi&Jf*ti?9v2*M5VmkgUB{0X2fMWO8G|n4$TE5S7dzM7Dpk%Ql;GXan{DEg zgjh4S*VB|i;t`mZ)|6IPhtHX$L#s{6Q-|27ZTQO-+a=-U0`h+h>EaeA$gv5LR|@Cu z^bwKm@{CVWyu>K57*Z_ONW86ntENF{vno-cq_|iQT>3y2Qu~B~>&IFLSI zO_Pa}xk;JvDY<0!RU7u$=pl37Yq4|fvMIV03F%|Ai`9RU8*$DF1vgF`c2jl7`^xj+ zeM?4$Gfl@)#>h9P8u)=d^<~tFU{|z7P|V>p`{;Q6#k}Gj*4`?+mV2Nw*hMVYIN2mh zKx@#5l>YOE)c%w#E&l|#(#7}1EHz+T=80*_tbL1aK$ziDWa&uJHJ<_b&o7CkR<8X! z*DDRR=wE+B;hJLT(~Ng$0Rr*^+mxXky(^TB1ZIzf*NtaPo99^H)bMwvUTRSo*2z3j zLr(P}euu)S8vQa2xS-y2niT0LRWRP!Ix}6NFb&qEA%Il@-e^Wujhr9#)~f~gG+Oaa zGmFZ>jksW5Ow0FF-(1O08b+<94Wg+zsm#$#5TbwCkGfe`l-SJzRA5ssv!;-|qFYrZ zNTvPs6M~4Tt>r0C)>%%tO=Pn|@iWka>EF&ya?NvZ>lXO7_){HL?dc?b*T4bgm*a){ zOBEr(9fD;I4DVWvW6NB}&8h^5W=^==?^FXujzyIB_US{-Aq?;MlC=rrk&h2#|q~jO0O+m%;6l=^Y(x60pv?k&uUV0m6vIRM_zB%bXxjdEP!E> zv`8dOZpUEbPUDN^hJ;h+emY!h-GP|?#IM5njSaYy3@xUlB)JV{Z*>&J5&iTOF!c4K zksMV&s#oeks^j3pN;^VkfJU3l^(^ktd!9rj~zh2O7hLEMW9x@uMf+8c2y9C+T5!SGa?c6KSM@%HD%@sFQ?j*O7cR6{<+EUi?rt2 z(;RnH@-;Thvi9&0fHy9}@%UEPq_y<~uWmcwtOoHH`~rR8QjA?RSg(`8T118ymt5 zsr?Us!RBodr3DYrmV9Q_i@JZgmjC{!$!Xn9vp$dzst26P+~wYqzQdamOa?YTe+TlE zqSI2dYl{|Iqv4?F7Y+!&)6~&bj;7%%A_8IW!qtB}e>})BH(hH+S{zQ01TQlOTdNIO zIoOtn&dfP}<$Tp6P*%{Si}2y%<|P=zETM>qY^{m4O36k%u`YT4CKi9Ubbdh;=EyXi zY^9!B&J)@{W1%&wwNdRensX%3Mp*xwV{0fiq(Nq%?A%t%vMml$^{x1}NyrlRZcO8* z!b)yA9|2GTLn3;a5@^JSzVaijh1Ym15lKg$^33ml!zJEP(aFKmAqnw2YYqXyS>E;# z6n5p{2vm#-5zVCufpLF%Zoe40*Mp;?3xQ}v7e_ZR!2H{>V&xYyEl4nCMgL9nckj{O z%Dx$WE(1H%}4y%FE zz5s(N(cfxur=5S7uNXoT%WhQWKKYd8B>~2gyq;QU3JLAn6)9%1zTJ@eA4BDKPjQs} zTX5#&QQDMH<_+L!awThej^Oe!Fo|Z#hZq4(RK{6kWwR8pOt}8prFw#isER}-Q1fZs zcyrqB1B^%uLGjov)K`Banx;?E=GHpZ@Gk{x@A#3)Sqp#Jtb*iGh$_F7*>^6rnPY`9 zgS$Fyn+`h;2BrUS(#QBekPZ{|FT(T?IMxlnBUK$nb=&Z9wnzjS;Bnp=(H{;Y!HPx5 zDz5~@B24z`jy8oI3h{Nz;z|3WMJD72A+zfAWrM@5ggG6@_`-#YJQK6{l$rO!C$MTL zDVD6Z1uTE@#lQ|a@#&Tav6y`!{zIcOjeyBU-?#?1nM8YD9J4}E? z+9L*@+W(QG1mLolF6$$G2&~DiK&E=vR{(wX!(x=r?z{Y|s6hQECW8EhnVet?;?t~; zZ*SOhQMn5x=MibaUz2PF>=L|ZW`Wh56` z53cx1+DAQ@tpd(?O`{T}T~ibmZi%(K&|`n_setheCMIhbRXw-Ckf@2!k_y?esfZzf z=Z@f(DW1i^iLngPB##D^D2{{bB?sr2vh7JIiFbO@dp7n~_-gZmD6TcUrO|2c<^f&p zqb>wWg$3}D#ZTM(6Q1T&5EGmGjr%9wPtU}gKSt3L>8ZGZZZ&>T)a3*O>(;Yc1c!eP zZ2qd?D;UAxyuZ-Y_+k&?VCgoUE=%x*D%MBD$@X%}}}OfIkbUFI2MRMS30kxH)V)$58KDHl22;Pv-fT z4p(C|0=5J@3hv+6AyvzW`>iX3omjP^?$SUCcux%>P*2s*wr{CfK)uTgW=`3BdetNT z??NSa1#o^eLto%?ZK?mvPv8wX6&@sg@PTIMuwk^)ReP4iG~wW{QghG-YP)}8;zT4G zrNK@Y!$uU6&?67kkvrRpO2oD4Vt;ZquP>)V@bB0e_9~YLgx>tEa3@r7U)INe<9LuK zCRg(=Z&Z56)}fyR5nrNP>>jec4BU+OuB&!-X(CL1Z_Q)k(WmQGneHBnEUU(ZgJ)c+=(R?{1@%m9k7G=G5JKk0 z&#oD8uJT{yRWZfMSl`9ob76$k$G28ZKI6rW6;g>bIKW@?C{E23Vz-sdf6|P;JR_wy z(wd{v9eZ3wEC5s}tiurM^gZY}YV_+qw+HTV&=?{|;1h?u`;&2$R}_EaeCtGet%I{u z_%_-$I21m3CEKQ-t-1Ovd7TwxX}3w8?)L75n06Sj2l@$Hyxj$7O;{dEk5a!QFU)jq z@+l_{ojXw6_J^E8BTip7xk4R2t^XQ)_RjA~akAVFzx*@Wgvw|qx>b7Aq#k=Y_^g~e z)fqaSTbL2rs(s$*@2`L8FD~qHH6dK9)|5vP2hJ0e%MpuZcZ;ZxsB`M4q zx4iz<=Um!o+pin8hc-OM6!Ir*hK!Jl7VL^u5L$*~^{XVp_hT&Q_kKHfbA2W?gDM)K z6Z^}rp?z5PA?davReamVh@j`|QMvl&FVT85itN6q{rJd7df$IGmhgsa%=lH(qwSyY zsvf82Eu9?W;VatHCOX=d*t-#&ur6QQ#B@E0U2+EoAO@bjq6g)3=&^D`uHG*1N;a*mYn}qITuk3AKTlCVIIvMnA20Ov>7ET#)55T7^S&I>? zYhoQe!)^I(eYsl-QhLfq$wSt?Uu{f6hIin(({eNw#3Qeu>D*F^InwFpCI24&K&_e#@7|f! z3Mn0pUGG@kq-j>q*Bm)=z5h`{A4x$*!aN*2-v^tu=ii;*JuZ~x~OT*bNBUsbx{-Yorlg`DR7^4NS+SSt4v zeQOg`GeMLrpN4p-B}0hK(;1aLHT1rxNQ2mv!n^MnS#}+`v6~@h{jU>LTdkEi>BGsa_L|m zJk$BY9YWhTcQchl!>3VTzA^k7bE$vXvxa^@YkIEDEy{zXGkNG<_8J!nCc)s* z@%QvAw_|J_BCYc3BWB~@k7jtli`f&Lp_wE2Wv8%M`C8R2fs!ux_lFu*4ro=SIvU+O zmi|rPVWa|ZH;Jdn`YtP09m^GcNUDCYT7g2{q&h;cCt6GJaW{3!m+eL2iCG^SQK^5* z$x(b2SQh)$eoKwbN$qu5avE2?Tv7k$wTeSFlPZwO!->5`K6Di(++`k% zop@#6ijmo%K2&Qbo3np6skSk)m6a`3`wY#KPfzinyqYcjx1lg49ce4~^Qn`s6Ve5& zDLW)^9X67WIIVyw$Vv0Yh)#3dcrAa3e6BPlxsGn3>~S$4H_pwO8efopU^0U-m`wF~ z%iBpDmaHG{MkriY$JYXu#9MNc`MZPAKr;f z4y_jJD$a0kF}^d61PU(Mg1;c6u1(i-Um9Zz?1}!}6Gi2^fE!@{QSHh`In#fjp*VA# z`Jeg{ztvE!EM_V{YrpBm9ijv@3DUd;$D`XYbXi1rGFj}mw_MTCL&|V)z-|3(rJu{! z%@-*&Dy?%u-aOj24ftpGPl-O*S%#VTJp)gAhqk=!vwE= z4JwSr&{=4or?H1Y`pEs;2a|si@MDK+-hhMY*X?UKlvEzF$Kd01B0lvGw$12^)G-1DU&`cA3-31$rAVQM}dM3Z5?!d7df+uSt^|R0i3sC2OgTw+nSPoc4P% z`{pp=*noImg~Gv93MbyYkz0~hz0OEEHM0Rv2$GF*RSRWPr+I$@-@i^88=o3aUd$3; zgo6#;ZW`gJisLpx(H2IIyBSK{ddcw;-+!jM4j6ac&_q}p1tB4xtI!cOp=g(DuZyFY zyfU(7+a#DZ3Gu|}I9g@!-Pdc4i*n%yH>iBeV}xYbI5{2Ku4i5QVE-Dazs*4?oWhd? z>917_lDsfosx*ItuQbU$d1}#RU=?wpgYjVi0Ttd@f3r}Q#ShJ0T?u%A_dqpSjx}!G zK)$z(>o|OzH72(BHR3I>cNGtxN1^|Mh*^4|K)>5_3nfp|Y7`84u76A2lW5??`na$a zEqKWX@^$337sf-kUVuf_OalhhBLj*e+j4td-Yzpdby0tXN(!p9GqG_>ZC|+E?d_%6 zoZ5gT$AAS)^L=&r+rl~Jvu%PAyOuU9)wN;y)+-a z2xmg`yvu)2TJ4Y_MQchqWA)VApUlL?jbs=tC7=V~%*xVZyNzk(xK{pwg~I3G_S2&# ztRd*)$YbCEo?Xn$t_1f~B;-#IX7gfvFiXYN)79*%0t`r39Ag>Iy$lIhL zAt8av$=eg4psL&|?VZq~>sF{n{=NG3shnYaCY zFFEeT(c7TeJur6 zG3j01;4WLL=FHL{G7WU=vVe`~VPH<@bfm<0BQIj@55ldQ zPV;uBw@=ZXAX8y&&P-&}{7-SDZ#|#cRxI~Ac5RkM8A%jm2F{VHoXA3lc8WM~=z60# zVn`u`-by_XlF$8m8!}K$A^H_Y(3$Dflmy{Tl~#=D_eHbVgj)m?OkY7~mc{{U*@J%t zp#d7eQ^v(?T_+LeV~!o2@Mx%gWgFiLWl0gBxiLo6smUWiPx`zbl2UnqARwrG zlPX~bO2hd^I?T3&fM5+E$4V5%oUIuRZT-L#3sTV^ca;pu;{5B_e>uRb)<%>j+?IbiX*y*|B&;(mhS--78Z zZ*p{4TphS%O4D$zs3D_xfN8Dv4sMwu4>yT{A#+^$pT*DHebB*3T=WlfQ$0tccO^`o&vpKN?Snv3H5<>zR_MX?j%U z@bl!MSkol+LL$S>07Xer2x))R+J=Ko3=mEO2VsFHH_*kC_&S+zE+c}ehJ~rW2`Yo# z3RFyuP0^aVU5xAojZg8t{rgV_JibbVCFt3Z_2ak@B{TlbL8!wkiDBG}A1ht(2iuUU zg*!MH?>HM-g{nFZkMiqJGv)j$K)jDsI`BuaeYEsegv*_ z!jwd5=4rK|eb~0?<&3?!P_->cvjujW>!*b;DzXr`Abx-|Dwfv~&KU*vlF{Wi#LFRU zFj_v_2KZ_5BLj^;hZw2}Q4Ayw8HF_C!soNH(lLDAnSZtdd=`;RO>xU~<$~qGWgNT~ zqJry0%78dO>E1uQ=30N~!Hhpo0g|}Z+8KZEN(8+`Q;=c#Z?__fv=t$c+RzNvt~yK0 z^PDiWP7caGb>rc>%+Mz#t}A=w@Y@~`4P>P?PrwEHPE}h1k_iqDZMBhX9o9XA$cBFh6}}3&CaL+wBzJ}g z^23RXd4HmRmrdd|mIgDpC?rt_i`o2h8A&%-)_`JiJVj9PY#mUT^Q`i^@}zi}`=0Bx z=UFgHz*awQM~fv~Xq&h=Lyf;TFW+6#{Hg0ER$$zg?)+ zG|sV~BncgG)^|iXEefoEz0pAF8O0>bn_Bo$Hh#eI$HA^Iv+w$(%Q*wsW2=o@lTD)_ zUO4ODPu52BV@|`8nG5asO@gU|C0kLoG z*V{YE(G}a%p2i0bkYS8w7iOqh)keLn2WM-i7cbPl68VYibS(gMTBc5f#M-74GFbtm z?Llo7QXY6n)Q-1G=B_9HC@91q&6OlBa{EnqT$C(b3=`thY?27LA06t9x2zzLYAO$X z3t$3Rm8-r&U0uF^zc<*L=P$mVED|7&6x%VYv$n_~!c93p<~FvlsTc2!ejxD_8D*CV z2RcasQM0KeI7C~HUhrwU51dOc`@rTW#Hd%~7z>#OcGgaQHvD`x5YeQoC#~rl)4h2} zpd!Hmp8Z(=?RfXm%ffhuj%ts7_)Q~*>3I)X3XGrLIn)b(ecDeDlBViX*O4X7#FxYW zhzBm?$TQw|Ty5Y{#gu-ibs7ks?%O2RDL>)UeOrCqdLU_CZp?6}%c6^m{Yvke@9K`y za5xMZin`P)=D_a8Z}H~&OCLQthR$lL2X9z4oF2NW_6Dk(&BrO)8=vTSFY{fAM8f*T z(G?iH0!>bTuTtu`oQzGRZvnkGQ?t{kWz5dB#|jg{tX{grs_m(*VA*I$$~7-_M}F}n zd<}|KAgo%BG9Hcf@m-}=IO6jkHsq8AvOx4aTgUIizU3ZMKacDp6RoA{CV(z=2|c;RW9x7O>tp=F&?4l zEE-XXVv%#l2vDZ&8T{x~UjmVubwb|Hx_f`Sitw8G_>)_RdjdzqZNr>F^xlCShJhjM zcMG_G&@AGvuevE&U5+5@+Hz#v1V+=q91c7~xNG|jdWgiOEIn(V7{GWMLxuprm9m)7 zbwUJ4L(!^_Dy1}ISlcpcM<7)V`||@@c@A&~qxr#Xis8cA^2Ldq!V1xi^@>JT!rPNk z8bVqdgpbKa_`Z;)BM_T`8Ce-e;>MR^VMX76(a;7Ar*>FTU(3W=HFV^@H;eX+lbUUs zf`yI@(hAuFR@&DJvf7Rr(4c~k_`7c0guuEk?_iklm%2mkxMid&x+-lyT?I`s@J80y z5@&#zES3|5&yf80XwFJ64^h*Z31i)Rej%S`+aMICd$!TkoYufjypxc^a`v#&Pnnhgv^PoH%bc#m5tO8~C9f@<*8b zs;1wYP+Zi%7Ee>wO0~fDt^j$i-NjRXS+wEpsvpjUH@?+OlMJzLb1Ey~5_tD!{w)pC zv-(vZ4_W|nm-xBb^|s?ypFulOmt#l10!SI$`ywonmmlCuT`I{{cLBG4mQ`fD9jBcN zqN`NIj+bNw28tIW+P|C(-+pvPB(+*pcBmxYdTHPOz>_;@?-gCs@hUBiRw(y>R+)Xh z8)#?ld6rWRGmX_Y3C$Xo-!JZPgBm8{ikjD#%5niyM-VdIA!}odeKI}fqUz3v0rI

is7g8TQ%}qTCKW{@UH}hEAC!pay{Cq zR%=QwjeEzv(vaIJ$Tp)&7%H`YrDkThpaL2b2!FOZM%vE0e7(-3AT_jDZA_=_v=zmFdL!Q8TFv77 zS-BVEqIuOjRE!Uk6CabI`49hn=s|_atn|Q)c?rI$>0mMnP2HchV|wAz`=nV?b-^Ei zjFhunKD$KMk&Nvgw5!WYMK}84bYlOgA^i~oZ?CAEDh$WO(C5kVkO>|OqEy)g{Po{5 z!s`52^yo7{9f;YOe>HT<;za`oGEKItVsJ@=S(^Ykv zr|2)x426BtcY&-L0;w>J{H-{4fx()8@ma&|Gl#+9^0`4s3$Wz`du@R z6PR_jD=?f0KtpG_`$FvwoPc7VGv-zrpNT&GRN%OhR&)L=3y6Qm)V%^GdeJLZU>L=x zvE#9i2o~6pTBn__b@wK(cLaA?9kC&@-VZ_}z@4*XxP3ZsQJhkf?7g%E6=iVOE@9;5 zet}-T0)|3b%OCLWH<>?Tm}$ zMz3O^2#)xmHvMdimh7bwK!V4LemTBGuCGeLY7Sa zyn|)m)(A1)uX{iDMlr43XAqs(tgOp8ih2xD#RPpTiWM?LCXH9QxHKWhInSwwNv;mfHjQoVlwCiL*ZU8*xF@%EyYQV7&i1WQ+`&S;bXx!@*mR zl-CNto1RUNMtp8gux`&X${c^fwtLx68!SEt(0iZvTcgP_&-*952bY|5>v`4YL)m|R zTRpUp@>Z9!pokvXi>A{gGs=KgnzL|&er}s=E6|-(JLvBUvZ>H2gHXB`D|Q z7boR^e-DdaWB>zrmJ)Cw)O`Bk$88dZajXCRo&ET_5%Iob9OIHCWNnQ!CJy}7F44I0 z?&HGnP7RVamn#qyj-1~nk9t!U`sXT4WPP-5q}KjXJCJ>TA(PzM5b=RYR8Ru$Ej6**l5xtgw zL^YBjJc-tM9c#{QvigyJMs>>mAjWqeGk^+|4+lE((T_p8S+7mhsrAL~0oLvj*C2R4QKg{}5DzhPmozBe6uz?i3 z5uNishd%dXzg=|?*aHS4Hl*IwIUM(2G)C&2 zkGsi)s`}GC-BE&)8aEO3Nu|tfmRAed)7BdrBLmU)9e&fjG#R=ectrR4%19ecJ2$F%aL3~8<4JQXtqUl~E9k_-1atu~n{*cyhOh1dTB z^-p?x3T19&b98cLVQmU!Ze(wl(Afh7msvms6}Rcx1H)>Ux1$9Yx5GpPxDJ-%M zGchqS3NK7$ZfA68G9WWGH8wJrfj|Wm1v57?G&YqH2`7KFx>ZzM+txLT2iM?MXmEFT zx8UxDL*ecOf?EV9xCM822n2U`2@u?!TiN@Zo$T}dueZ^l=tKJ)v(L5WLs5~bs4OgIPhMJ_R8bDfASwnwCjg|>qSk2AR5#;H`k^m98kME~>7hBFW19YYhNafIHCH z#rjv<|KUarW(N384V-G>46^^L0f5HJ)zy)Ync2g`gUQm(#gz%S7@9%Jl7g{7ip5{&&Yr9Nb*I|Cr6cmu&`eaItoAb@{s@ z5MW_#2mHm}<=38BJN#u+6jhRyl2lV?Q~(Rlfl(0zo{j^PtEcN<(ZA}6N+|FFcv!dq zth^im7O+Sq9n8f+_V!@bE{MOzCt(eqlPk#Ci~0Ww+tvZ(;o$TCa9CJ7m|Ogsy}5sz zBeRBswUZlAR^mV5U=!kRn z|5rAD#YsAtfy}KPECFnsTmTbiXA>_(7O)oBI5`16tYBfA13mu|3xJu)0pto!0XVw3 z`T;CJ&WOJ@l#3I?i~UC2;O4&(4}e+XH{t~_Oa6nnSpdvZzY!~dS^76( z12D_{M(hA)+24o*z%2J0fw_Ok|3+Xg3cnGUi{ftt=A!f)fw?IEgLuGPRDL5cm$$zW zn2YLf1m>dl8-cl~|3+Xg8ov>ki{@_x=A!i*fw^e^Mqn;F{~%s47v0|ooM-Y6Vh87$ z*gJwx(yvqSUn?scxRr^EnKf8DcILo;>>O;r%&tIZYZu$!1;HgueU!@1pUhmUb*9MH@JbL3HY`9FU|bw^Ot}1--`LQT(DyQx(NIe z%JrAc8uW(-Siz%q`a@^nG$%I@_)TkS_pdgr96Y~0|0_<;|G54qgX=%${|RRWZ`~g| z$qLT?JylNd3|xTr*8kQr=dT!``yboO2`=Jd?fH9cVB#)ze=3!g72N-KTTbwtT&pZ*t&D-azNSTmAdx zq4Mhj_1DdS<@ejal=d>#Sfq_~*a>8T_jO z)$be0AK7AJAWt7g4)8%_WCK6>SUJE;2dj0t9|QlzziwCnAkY(N zhPW^bGUI<|lT;s8>@S%+UII(S%XC;=y+I_h%IXZJgEndJ~A`97lr4nm66D6bRVFk7M*_ zL+gKXot2(Q?Y%3)V*!Xo$cw>c%!KPDRZ34OcQ{L~-oV%GK>Q#rEx6L*=^9+;f;>ZS zYI0~IK_$|j`B+KkLHaIG3bgFXBQAx+_kw51Mqa01s=EUoJU*UUiA?8>5@}Q4D{_z-DT=TkL5amjbqpAQ}Hiym15rxBB|P z&f)xst~P3xCc$@-_)-H8+O@)}vEjj(M%u3G11dD7I)$~WD9we)$En22McL;s>5m_= zd^zt!UBu#J#}py(fpF%^)EF;HmX(Q=xK7mD>pFAY#iCh+^KQ>&G+`n##H*SGP7i-Q zZwb71PK2?AsEy`Dq~$FdS-$HcNa|--v{zBSumj726_z#-aVul_q-hv-Un3z{O#ciX z(t}p)UpBC7cOXi^L8`hea+BPiojUYq=}^7BNqz5%bDh>=nD#Y4`rA5eHKYTA8dt9i!c2#cJJN_q7ckII zb;Rw_ez1asMmMoV-yttX9Y|uegbnw)gV_jW8w4|i(tCR#41Ox)<^)GEMvaupUY6fG zLBbjWMv`j*l8T57zVf{6twE(|r$oeWCrxJ?b?2HK-H^v;&s9*DzEbr_-PwN_(`2LD zGZqNtzv`YSHxpr#rFW$Gs5o)=guHokX_-edmxp!`)-r=+u2Y%{irv13sq?$m)P#SOv+yT|y7pw=6<+%t(TN~P``J@XKI%|{nXPrCSrdn> zJe+t&zPiICzlT)A;lnNC$Em6;Wt?CTA$90U@Ooktk7*}oP;#S2^d$T8>(X%hTIO|;7M3e>NfrybQy`^mD)j3)7tT! zzu}D79l5Vy#Tt*88vv9Te8Tp`N97u9Z~kh_;xmaI^Z+Y6oGhmp51PJ$`U4YotSbnupw`Zk#h%^&)olN^_zL2p32l`{4=}gi|BAiB( zP)j*|8+05Qj2{I4Az3>b6$XE}V$Ot)!|TUy&-AL{aF^4C=Gy5K6@IYywTq^wUHw}N z#rOQa1=2Q`5d!9Jd9Ip-W}#{*BF*=i;tZSlI@7=gQG{l^4)}lh%a3H+&clm4aKFhd5fR9Cpa9HL^@RiH;9zAhCG;n_%lNRjp<^@Y#6Uw%;) zhFRjWf@#o!nZ%naT0f;{bhgb*q|9a%3kZOvvP6GVw>OI>h89L_E!2Bp84yPu zx)}41&_D3T%YUd#VLlIJ;$y~Zn;=+BmGSJPplM@yH)s3NKVu#01^W0|(}fRhJ5mU<{B;_Ux7wzsAn^;^R`2dfmUo=$-Mb7u|B1zKe(c|koz!<5U9nhp z&h0PF8Kyj~Tj9^3no)CpJ`B(=2N=Nz7;O|hj?k6lvDSbz5d5Vx_eiK@DU}-A$#u*b zKJtIpZEN1*wK=DG#xHB~P1XpfwB4m;9X>2>x%Ug>Qhb09xe|`PKDVsV`t;4zhOK@Z zPj<7A_SHOnK6&Ps7z+BFm^j}z$BBvDOjrY=D|<-zAPd~){R_Un^|ioA$l_Q$d8h#R zhiIkH`LmG8Zd5nC0e>gV!lSw;GzuGBTETy8`&X4*7b`N@FDL3Zx0v>A#F{xldnPTY z%=VwnFpf(FQeL(ASg}OB>$oifAz-Eh$9Q6~LW;#2E3^6Pl3RKa^IZEU>UUD!a=kNK zMt$?ODE=UQ~bY zbk-B8;c_%+JzOg>C( zzYT3mZ0x;zXv$Eg2R4B@)a{q+PajHLsqv_Dlp{VMXOb1F%Bsfiu8BjH1=hDXd}D{X z$#NoLi@?iZ6b10Lf-z0 z<}nLVVW-7cNbP5)GUf*tv==uSm{;7EYdh6*Ka9UH>D~K0eZhzMk!Gdiw58a}@S?m= zSsHKl63@=qDI9))>E@@}g?14ok@Xq9V!7ua!yiDG+Fa)r|HTZR8W%~k(rcrIY(_SHna%JPSll6N~HO>&eQeEds_UZlZUD@R-*#tT>+{BJPt zp0!R=@ayg@x+ty)3yqvrW&55$6BYxU8>3#^J`6k417YuAQ)7Xu@KdCp@|45jPpwx= zvSjS9p3FQ*<=oW=o_g}xx0QcIhpBJgE+Cfr9>yM(#E71oFbq7<9WRH&n2Zqtzxpz5 zlZUtAE+un8Xd^Yi@5Zv%<&v?fY}aPs++1K_&2=cMI}-Kh%k>?+|b8*G2~SvH3$lXYFhqzgp8?-j86~X#-SyPWNG@u+wK33gifcDjk2{7^_~m?F9|b z+P>mu^l$}MHFcS8#0eb(n6$gfE;E|j6gtfJ58IFq-$%v^wUV%0jPjgZ&5+$(F@D7U z*fZTLCLWTJty$ljwqc2{rGYH>PFfmhCJ>h^9uK)K;HJ3QxluV?Ot&q~%iU36b=O~y zCiV50CCJ!-Gr#P>+H8MBizF2;Hbf4RYBX-#zDF7VM*pdo&XgrUCQ^%(=%%;Gz^I?!1Gr0J!d9s(<< z5S^x$z(nS5`_upH)U@JGH@+`9qLSU)Qh_0UODgavn^ooB{$^9X|3?s$QBUy;} z_X0OhD?MA37I(MjKeCkQb6)u1xr4(QyZgT`UPKor2EgL^HKGlwiUz*kN7yWfI5a1> z>V_qBH2$E?v+cS`$Wo8ceuaeqL|TZrn@7UVa#v`2I{~DuCtJ_E&v2+0wocMK!}p8A zM3or~S$ccOI9aBWk4P`&jnZlXNbn@vHP0;$?n8eki0|gKO!)Nb6>awgQ4+Dl z41k45fPk^~8@5rDCX#_U2;kL%;b8F4=>V`MJ*e=%qt*j zl3i?A3DJMm3Ol48;TqP9>J+ad;BB5%3Q8qx{q;L+wvskszJbuU$=EbLwFebdOy{#L zri1XwLTGhZZb^66J{%7Zs;4`d5p+;^jbZo7Y2MSg8vAX9rI`Sb?OF@GENX<+2$Va+ zIzz*o#`;t2a50zu=IRxgszL<6T`z>h?#)*OV$Qn$Ch*CJEAr#V)_OaI^7*;^`Ab+z)c^pu8;*nDUKBP zQ!;-b<&z}r%i{v8rUb?}X{zu0{X42zTi^~0r*ysQXK_cxno71rMDM(v?ccy-oVs_* z>$pV|hqYzfO5ArgU9*ggs`w*uve-`IAy<4@tbjGNK!?$eDSzKUFW$?!d8O)S?se@U z2xwOc@Ylp-xU_$Hs(-rU!Ul}Pq&fe*FKmB~;F+W@w1p)8vSQJ#peE8c^zbrge-%rm zq4^?kv5X;tFmhG-M(C+1SWC~Gx`-K_IPND=hZ*a;p-_J-wITRL)LqoWY_#Zom@ifiQ3HiARekQeH9#c9@Sh{YE*Xj@ccihqA% zWLh%pr;s%ElGpW#Y4rnxQ~ZM^vro895BzwXL3DTt{e@n+*!>qStn$m66gNQ&q8$OA ziLtlys?l-w4K=Uk0F;7PFzHn2ax?k<-9$I+dA8&|U)r^8)OR=il`k!W0ednwut}d# zK=q@>>fSRrFa3m66_X~t923)H%KLwVuNtMI)etquWGZ}vKB4peP`{&;cdNkDGkfU2 z7JSf%zK?A?4GWQksT<6mb5TI;&K;0)*&ynN-lIdrX{$roH~s2=$lL{SM*T)l0@`ei z`ZG5s%J? zuUd+;HJmd7y<(DcCspV}bU>!PW+URYK(FGza&&|w=O#$u&hOq97j%JJn53Xf+v7q_ z+U05~)f%$5E-vOvlOsZEIE8-_7i`bjd;R>u7 zUsiK>{>lZeV5uTfFOrBeMk7ruwTYM_9m5X?P^q%kjpq)Vp$LmP9Q!_QhDuO39%RLv zUql~0vFuHX+j!l$tm&%wzL13sR_3W$(W-jC$8oz0eT99@fTii9wmE+yDiF7AAiXgS zz44KpH}3j7y4PdOFm@1pJ7kr#G*>3HkMHa&2jP6Ox{ri%uH%^`z2^X;;-_M0n&r9* zeEi;vV^&2pg#2a7Y0{O~C1KN@>6_^bY|wH7$PrjZx$ACQ>aZ?5NIND!N1bjd^|q}- z9y-Dv#TMAz75h6Eo#cNO7T&LdX}x-*@_l^pYtLl@k-eN0LG~eoVLW$HDY9ad=!7|$ z>J_g`{Eqh-ZxyaSdpkqS_6yh&gpSzo(8LfCXy8TU&LbixiNJpvr{+0Cq}X2mY zr#;f3N_Kn~7s0z&D#z5K4k?3e2VkUv_qDN2@lhUMxHy0PXfF`lH_HsKVC~2rwkv9753~N6_bn| zqK+Y{iL9?oc$Vg-z8f|!Dh9S8sX(a8}ZBX=@JJG zi>J;IWf?$ydEnTGIF80bbk1^!(I;ZTl(8M!Y}$1Xl?h8YA)^6J=ze&yfwAfzx9cHk zYBCF=hL&`5@Zz)T6PIX)A3XhB=K7>FhkiirSzyTJL_~jGTV<8XUlzgXeB$M6tC`_6 zK9JK>ZMs0xKU1k0mXmefJ_v&PEL5_Q5=1=taaig*I=f`D-6Mn)yHQfkOV+pf;FBd5 zla(BQrU|#?FMCIVwy`m>&B6BYLAwv1w!-$PtS7Is#F;4Twm5%sAhC(}nL?wxG@!jJxS?GTc?##tY*zT;}Ty{-D>QccjZ^CMlY6D4_= zvJa(59yzdi93U}AMC5Ra7^zV|#LT4q!#Jy+u40bRX~jWVDAQWeUQ_mJcbnaw9DkDE zlIMS<}vu3QC=4!#PscAQH(=@P7E`K-E$uHK0 zsa-EZ$#AGRUW$aIY0O(OE|ZMQjAt|uk6|TseF)(uPerkDxw!Yr*}$2apE;m@tD$TM zQ=Z;`&(U%;N(mqPr=vvB{OvkED>mdk3WB! z*i7Tx<`o_jkYLmahp|q98xU4+WCL}bUXt&z6>c7lQiCAPWEDsdB)+kp8Ema-h0la zYb}XkfrGxuId)n14YOCbDEB<&1iA=^BKm1bj$g059uu%Ih@0a*jI=aP@wd*BQBh=k zYVQ4#{46^ci#$AVIia>}pb0f{FmZ)#v6vZ?=3#e;XmOr2k_~$X+bPhJ8-Iu?K4%CHEt#}G0DOEzCGEf=`vaWtVfP| zg|76nsokkQkX$CK6U>rCTp`V;ufa9EpyshYby>Fgc%PAYXMvrcNWnews(KOc0)`sE|+B>5(;lvjUdRD8|5DI&H>;&qCX zL!qx?Z(@qK5)N?rIqVmy87@o_DfJ`u$Wy1_3rVw3Ap&e4UP!DuMSt{}y*(p82$bwk zGIxU-xwBh>))NSgr0H<3KlR9X{Lb|4&iBoyVPe_n0Mrj%S|#;WR>0>Hr&5dTUy851T))(fI?tM{NJA;O+pZ5hi zkr4qM;dSTE*5k_b7igpUBw4Pzw5g|Tc})`6V}eBTfK-1uBR8g0-+l6kv-u?nDmOPi zhqHSM;KY0OH@f&d;r5JOP{H~&Cv*YnsWuEsum_ z$quks_td_ZDLkECY3ogI-HC@e8Q_Of?s!x>Bc8T|zHmQ`mOQwXA< z<(pk*N2z})V3EQ;M#)DeS;}buCjt3eiof^uaP0-wdzwWeqf?I20+^APY7#{95K;Q; ztI|-VsnlLv)y2sKojX(f3|+3l`YzS}irnW)AN_Msw2jI1CUGm`6W|q_Oia3j9KN8M z@oZ}6b3|;7>_|I4{xG)zF=lq9t#g)X>P2I~GKhcrjJ8@JcS>>-BNe zbiLe!`Jw^v(#^utVKpO-czk-{?&PqI34dHUdjn6}dMe@-2(8aIk(2J4pF}bLWc-F* z=^3dz&RSJ%?RBn;Js$LF@2<~LD(Y>w*YqR;?lqGSie3cHbOH-8C~jRS^>HfyW^K1V z@B)8g9Qqt>rh~F&avFw-O^s1z-$fWkD6HqE+T)y;kmLx1uqg_WmG5MF@DP1OCi{lnsN-wW#; zaq)8)qWI{Vg?zyhmYW(G1&3@;0AsPgpbw^Y1{07mxgAb5Wkb`F1@ zu#F2C$S}Z$FHUxq>4)fE{2nOw7yOn*v9Zk?~ku4AuO5d>Do}4FuQoV z`A7G3mOjgqtCAe+<^n(R~clMT^0%!Rn{_Z_r;Uhi!6gKF``)o_ajlBY5mV zOu&3qmNhL%`p#kziHES_+(01TVQ0KNBE7B1u3<_dmatd#!I@j%Aa5+Hb5?(SyEt*^ zyCG(13A*L9V~~K-I<&aswmlTiL&eg}QpNnssXu1Mrw{&M9idwjG; zy`KVRI78@PFkaN#30A?kaL(GfB&LQb@yMcw+?oMG#~{?oa+SKA@9){*mAPVvO%J+) zt6ut?ZV8B8*YJS5m0~_a&WV3@r;SlR4DG)%F8aRU3bWX5$V#`F;v=mqvtmRs0%VdeS?=szCKDOLIKsT$swZMiFY}cDgV)I`qbZN-v_%XA(7wsM6u?pbW`z5fbz)ADw=Q;*ORvbujFfy}MR&#V^X zz6_Dem^-@jpAP+=*puFOvi`aqQLHzm2cosH5jByu-tv*s*`_d>xo<+FeSv_>WGY_CD8MP{pC)=JEeDVFL9mUy&b+2i9M@ zrD_VjR50pyQ1MRSpbn<1w;g`;)R4jodUM5LKQBS{)WbKn zc*GhHLM%55o4#<>jJ>S29hvJEC5c9XQwk5=YXPWfc84|@XgJ}TRdw(=Ibf2or*ltvGqAVKD zoE`k^UftI{i!Fg-y=dvwh-yny;zDV8oT%0v7ojIJt znG*V}hBB?AiO7FRNoEtRbV-erQn12DIEc~A%4L!nvf@DRm3Pb+vlFj*SZV^0Eeq_8 zZ#4C2uYzS4*98|{^HZ6kk_1Mtx z6N+`JnVK@{m*~n?WI%+V^QVEy8M`LOc6`kbA`eZj|eM5fy@s3QU$BE&E5gCzI4d6hy-52 z*LcP*5U!)Q+e(FxC^RoZkyHA&n#)bvto=!AkX@%ASBF==h?g{miHz@a__yWZ&LlJ& z`T-yCTJ;*tsXlyQ$VBLYG!edKmsDZH`KRob%SI z(nl`4!@Y_I85NS&MuEQx4$rc+C4zRtnO1t#Nr%>4^{r>qYO$UneJgVyGX#&zd8vfA z2*Z!-vkQqP-!=gz1~oZR><<%&PE%=~J6BG$JNrV*aKztgcrIQ@B84Z#0T8?_Bf*(s zC^UbA5e5SXK5WZBaiZP5v4>?-(mlpqTCdsLT|c67;I+Ln;|)0*np5lBz~Jr&^#%{T zPxS%iq=ey6I+EZN;UC{0d|S6mpH8_Hq}7>pn^#VZ(1O{v1PEhvgnZNHVo4i zWYJIoUduiQ?bcN7jURSn!nFj}^FBG3D%gK=KcDkS*X2RKSN%aj6KkjCrLo*Cl4Jo< zjC|Z56N4@S4Pru7K_hIDS|!oiXy7Tkev;kI=f8}$qjQ0XI!42x={Q5rC?pQeH4=GG zJbSdnyw&DV5;>ekO>3d`<5aq1cL!_BlqG-s6T~4mY`8H|#-Imzuf&v~g_rKI!FPW* zOfL#{c>m<0evy#=9a2=JD|lK@o?BHp*VM6^8^wb&S+DOY=8@l$@X$};H3^T~24!F7 z!m=uM@s-?4YQ7nUmL2kPxyOjL7Vfkf*-0&wEJRGh2EC$K-P< zi_bgNtc5?+$Y%4LqRCxpE87mEnI1+q(j51H5u{93;X6gG;9GBm)6n>i5?yZygAmxF zlKj!e#;EKAL0Mkj&<%Z9voP<)x{t+byfkrG^802E<@1=2S4P?A1k*~TYX*NNSo?7N z6w$M?C(AC@k4J0>L9}{@g$E8Tq<<4&-b7H3w;8n{ytGXI5OT0H=^pleSehX79b)($s&V531g**d6gdoi2XaRM6j|D25D@#u|GIMq)@V`f7$rD6V*@a1N)@9 zpYBQ^gk*nH5g5qy5Z4BpTtGwf*c}TB{hK%A!nk~WB(TKaqfPXq* zl`G>8F=X&PJ3zwkbDY~U6*8|n4zp|Lu{Q(`GM^FK8qVzZWJq6MjF@Q48v^;B0WbN5 zQeIwnMCI&TwCp6-MTmcE2Im1XZH@9?k+a<6``p?s>{hlh!*1TK-k@QcsPyV^3KI0j>d>qjm?7nj-kW@WKPttqR^se1lZN~X${eLETn;vb6B3?M zWDX_qxT9r~ao&m_b}69PvWT*{%7%l4XF)5EP(Ylg9PP>?nVny_AE7yTHNkToE23+tv>8eVBzu=Cvz`p^(x7u{_~JPobCrQ1Od8 zk#Dik$c1c>yN!n=;D%z22|4txk<3k3ys#`Z*>ge3bsSFXK5Cyqhz6mD@{5N!Royy? zO!T$eAFClnjmJWvgwSyDG~Z;1pDm9Pp{ne5tn&f^vTlE&spXdSKHL>y%kq?fvhLbZ zyOrAJ;-B3X<=-vvX<0^J!+y^0A2qu#Yz~0oVxk0 z^Jzz2bYr@NvZQ&}VXH!ZIeLo_J#g+lTQ3@^yv6G~w!3idyOge1&Z=4kfZUgdbJMFX{zqOqeoA$HgsjP>0@XuL`T3jb_I%%OngsW+{k`IpgdsMYm%rLey4- zDZP|5IvuX0zwhRxtJL}yjaf@!rf*!nGr;ggyigV$8{xTzgr^I_^GC1Cdpj zw;*@1jD=e+`_t>C`45v`=V-Fa(MAm7YW~Z1mtxTqmv5~;0r;b^Y59Q?B7yaEE6W8h z6y#|cRkaP_?ZM@3T`nws9&5rDDn=L`1X$>ZRk%_)utLa&4zb@R7V6}*_?yX<#KM0v zR)1(iUR`*h6RvML;q~>7@GsZ;=!+EomAa8Ed z(+Tz>DK_lLl!u0w-ONM&rlDaHTNqx4`KtUeL*=>Ii6;Y!f)gOORNs4sBkom2-A#@! zeT=M0$l^>oF<-J(jVVF3A9dkM&Qz1pfXF&Z*O{AGXdcz^gyLre#b zvg!rNx6CnuQ+vIH85qG^(TuTh5;-j_{f%S6NCyXn3q`vXbVa)QD?J-Ywgp(7Z{j^+ z7V;{HGzHa|4ueba&BoKGqc56Y1$?qj5#RRez^6*$#OiXA#s)^ zXq-TgyM9&8hg8phV$4st5nF@Q8ICH(=Y9WnekTqcS1l+*+EXiE2zUJDt8ZjNW5^m) zAlyhK)6uf?rvvPCjH=@#-|%v3L}FSqYbfM=bvpR0bL7+M*VTU{iNqWDSMsDTw4SX>CU!^J}xANhu*K~`s)mdy=Ss14D8&~pK}_Qq!ouZ*UBp1 zW9bCG3;k|U#`jGKst(Rz6;9E-(pN>at;y$WAVD%Jx~AqEL^TJ4P73=RDa;gBGHfPK zLs$89tNQP~TO)srJQ_u$=TuSzL3Dtj(WuauJxUD)SIaai9kf>&$RxEr6Hgsg1m6=} z)JJ@@F;oK82I~@(d#v&X)dk)mOwk|E)3y=7?>8BJR=#Fc@(aPMhu&Ta?z!UbtSCS0 z8K9TpFGZNcT$18pdPmstDa(y!fP*b@!!uc^ETmJ+1@(VTIL*+l_1w;0sp;pLU{d18 zG<5}el}J{;rk@V77>`oA0X*+|J+6y|f4V2C?`A?MoTj#1n5B_SSN6 zLy21ERYY_Qv5)|`Z&h4-vfX~jkiBbYj2pHV`RoLHy+kKq^OYF_F@0t||Mj#{Rof8i zcF{(^J1g$-l=6FjB0S?e{@@6siXPp-TMctVECsIW$Kmms?=-|kzE!ik6cZiyU(e#9 zD<`Pgc8$K?Rtvm3+CI=bq$^UTyy;H0B!wnRtfR%=t!<{75H`TqdvHy9`z9HuHDGQk z;@(}ERj$jn$`zR~l|xMqTZta#mDlny%^EYBiEI1hcl>dGw>(o-`rfXBL`-_>Z1&rBT|0i$)kVPsp>XXtnSGQhP1ssk!-FX5_lBsx1Iq@}pF>+G4d$8b($MO%tqWXiaYuFCodi(D*XdOWo41cIpiMr$))H({a2R!f7P!aglg_ z-mOGlGL$hhF~yr4QJg$P(N~9iy%J9Lrp!|Dh8r_~tr4MP3A<@?Wo2x#EfmwBFH1a6 zA1Om1tV9FD92f~3OCe!ZNxJyQX8;IsNZ!M+1v9TIM3~IgvB@l)2M&&q`AI~4 zoH*3lI*s{G5$4IL{AT_Fx-{Zl2tfB8(O}DxI(;7HE8%2@%+3#Ucb1OdI8sUxA9;|u zCoyXu3m0!=*EOm~-e4SZ``w8Gbj}tO*UoZ(dkgkM5A(ioW@4Ygd-G$RUfmi+_lo+V zKy^@hXaLY14X5egKbHWacj)ev*4TH49a~X9n>m!!yZ@jdG;T9*I}1ALH^XrI;b#lV z!z3Y@yW=`i<3t7`z zqyuNxDOe-(^+)28p`K;oH@9nrq>Z~8nuUWmEH z@k+w(pvjbMuI7@1c_=cw6Vi*?dNlxJG`h4SMP5{z^|VB~_C`)E{`4G6&`lPH5-N2? zE)iihQby1J!ay4}j=#9|;~DD_B>JF#)HGQwC5nL*ia&v4lppE?z0s9XrleD^MFl}Y zMEWPG!f(ycJ(=`6bRb1QeSy5_Oo6|DwQs#T8J)-d!R=X zObV7qwaqt^s$!lc#{tn`!js&X2XPF5s9_PiLif4dIXlG(3;L)2{mlEoZH3+dLP=Y# zv4U>PR714p`oR;wfI95B$0yK#o`e@$dzH#o9>iEw$l;!*RZR8~az`G5Glvr9X+i0ad?)XK-X8BOO73rYkPE^B|_z{8$K(mQprJyR8CsSN@4 zO^q|cM12%gse~t_yQWCIWEFg^7(Mpx6Ej7qRz8flW$(0xIER>tje^F1WFCBKB&}+! zWN!dMpUn(Uy3pR*o-R#9u#Gv|hkGqW4yqN*)g7(rjz|`cAFso&@H4|JVE1>e?YFnm zvvlJUQk8GZ0pD!K#T1P_W_q#9pZCKHHS?3pVvz-}K8C=@!X<4>+*(I#%y3T{HKe6M zN_><1d_6)J@4LVoXr1qW@>#Bt7{cd6|F)&SPdfWs%M&-6i*S?kK2rUQk2lkcv|kOA z^J?LZ*fJuS-fBGhnLowo`FQT0B5_9$i1-6=&w|>Bvw%ZC_;BBXFu+w*B^Q-@ZtiQX>Jy-sD_Ft$K!kCns5XU7YoeONb&PDa=k0 zOvKW?7`yuF&Po%=3P}jSL{n`7MQQ4k!MoG5LB>>m887`R3T~j->fE#0=R3qfJQBG= zIo{}6DvpfHn`MDgX`~)LOTlFcCPOHM^hY5Q#anShbBpkT@BR3QvYak`Un@*9`h<1q zkRw{ozH0Y>EbXTXPm7dAR74B*evFgsdoH*^6hXTZ5J@++W<0VRf^^n& zA`cM>{T>)TrMlFx*7LxxU}Eiv8L5}VSwCrR6q^%&K-DWoPsy6t1VeIICy9txi~5NP zA?$Vcl5oDC2rSEYPz7e~H1r^h_NdwO+pR}<;3q%!LZgM;+IS*W!CxtX7rgzF`Lkw^~IICT?f>L@nXwkrrUr4C{bQ#Mg+ zZXaS~#+8$0X`QXpG%Y(PC*dwVb#li_H(F7qg2uMe2vh*D+Gy3S?*u=xb>JoaxOGu* zbE&MMv4T6)aTTJqqD>iG=c7hrO8ge+>w0oTk3~m|y)G&5#e(30%#Gw#s3PB?S0G7$ z`Zc|U=Bv{do+Bwn`gBEOFXF7e4a$IE>!R6Uv+|@h;AQPKAPXzQopE$x_cN4S_i*5+ zS-l8r^@e0i`h`$qcc>EkLuK~!EypE-_*AR)MIe=8c9BP6RyHClrd%KAhI0FVsJETV zx<}KKR5QG_Da%74qhLObi7TjTo<>bvPjrZeUv^YPe4+&EGQHPH-bx~PC9D?dNRF^OfEn_}NutIPvatUGvNEq6DF&@DGD3IMyR ztD1Xfv6CKoMC(wcL!G&Q=7%da7d-WP+x72TY)+5EF9%-hN<9Sb&_;WoDcl-*xYY#r zOm_Gk3!tI~eJCOWvDwhvQ94~S3+XOJ)a+-+Mvob!F0**b+6cTwd{hl^>-|m}^YRRH z5r=<*REQ~=q+R85c|2JJlrWy&Y_O;ZXjNc7_%}It6zq}^QJ(kB@-$f#A;1s;@~VUfWDDr$`GbXMEXj~la_vB$b$HJQ7^Qc?#I$`*C07Q!3+Xu z>$@&hpRw&S89_&X&D1!Q@ckJ6Hc0ccbNmMDx8wYDuV`mdbN{?^k}R#7KAiPQUnD3$ zN1s$cqh=k&>*lW)pC4Xx`7rdbr^g~se;jhnUU*otqc=}dZO^qeh>@0RdM$}vAPRhj znY&g_6qxWSGd;O~#+hgL%H9=eLSA&^9c`?`rAOy8>K7A#`npY03hXyOzgM$bh(Rcg z@WWqoHrQv?!e@Jy-0_(iMfRrMzuK3r*KV|$jvj)nzu|k+G@F&Ura+o-c4&I-h3#0L zR@sCl?Z6ktQ+`6sR2#F6f^yHa|o&y|$!lU#4`3q1Zk`bF8dHH_MF-bcc}tkF9fB5{A*WZM(m=ZQHhO z+qP}nwr$(CZQJ%)b*lcm{Sui;Dr2Nv!UC{L%sXE zebzTLVgFk_`GG2VrIW7cft{}~Gh+5<9O8%IdRkp8P-kj>zcO^%P z?$DW~SmU$0qXEA8H%6VOa4r9{<$#V?SyWZ&Xn#u_9*S6k$b%YKK|OLJZ$A z+FE0OIqrkScRZCBI?Zy9eo0(UpGS`E8u8?05$iHUnArZT4WXm10Pu-?`DOoOC&Z5OJ-YVb1|w=`Dy0At$+tiuR4k4N(THv$9zg!(lzD& z&y`{q`v+SEz-4m2$5B2<*7AyE1FLvUaCWv4&ec8;I{X7@g1P-A*C*kPGf(# z%*m`UmJGgo)_vY1$@i$SukN@!1Z9z88(t2>d2##zY5ob`u2-I9z4NxqDDa3m)P90y zG&Wm=9hB0kQegIh&2O0&lyylq0Ry5y{}#h?VxBT}cbNpq5pd3}bte~dV#Y&IB|4dZ zBx)XAen%;*Q2=X|VcNqkk-MIcsMee*ZDLmNc7%v?YQ*zNF@}2K1=GlIuiL{0QjuUjtjPb?o(gr z8dwr|+QrkZpFk724Rd{i_|g&8CCQ*mSVOs#F#Qq~X>9x#+BLaWl_OQ~hXgc>H1Eizk zI*@rm`>Y9>sOy8>NDAROXsdlTi0uZgf<^bYBj}@Gaa|qqK!osPHS)lMW1E6fw^`ZT zHjG<@en;^Z=O9$4XpnNqlaQrG){^*$E#f^}w55g$h7|7lnFoCY2_jO=quv_%ZvlT$9PU7BFMbEXFk|6hAB}LQ97*bP_Hc2}lT5 zv{W}WH$9pM-&#aO&sjyJmwt})bCDk$v^jR`qpAH2%ZKtT+>+uz=!aO{mtV4?-6V-A z?qN}^5OZ+WV-iFcG+{=69eTRFpzm|}?>uBnN~|EWEO|~7032|iT$aJv)~LcGEPH7k z>5_3@xXq%V-Bvs?Y)74wYX(lwHp$yU*2KdvK*v}5BoH5lY5jDV@4^n0_ir%8amHG| z3C0a%4Ga(I;kSd8$%@xR2_5b_ySL?XJfJA;A8QQJYWqInBK`wqGE3 zx0`0COLu$ zTboL;ltxuETnv}?ZbiX9q_(%;X%DS6bo$gL8$LfLBy$7`LcRWP9V!afF$9ej>z95o zHAF`oUM0rd(*r4gT<&KZ%MFAQk&T06^ZHm*=xB-XM(P|W`ISMvFEmycUHh2%V&EdL z)VwfhoM2$_kYIwUv|1hd3Be{(^2;3_}$ z#YIrI6*t+Y!8Y}RmwU(B#WN}nE_SpjZ%mA8Q;SJkgXuPZ36?S&3=Y&TouDmI~Jg~CrgPN%c zSztuN%$IA2a(+q`PhxEeF ze^7biQyUR0mr^Jk(7t!lVC3!TY!ke0LKnDXdmd^i?z>B<+a)v-$L#SBPP1(dZ_nDU zq4}vjLt6Hvih8S17UvuPXy#dhR!&UQ)Np8~#1<5Pi7{fsiT5Ns&gkjtZv$!J>lz2c zrdO#drgnugbkA}zTO&kqB~r+JOYnk1DicKt1ipsA%qknbQoLj^D3;d=SiK4C;O(Ax zf!v4nKEUV?VIIB*Oc+}%T}9vWx1z$W7`OVp2}gY0+keHM_TAyRb`gYUr1`!d4!NqH z2oF$yraVl15?1Za{kXo6?LYK+N?aukh5PWu__h!k%XtOm+`4({7ZlGm34Ph_tXPX` zO5;JwXB1q}9W}g?zSo{_TXQ#vj^YE*p!Q`8HxAlHZ%U7=B5Z{lFR@G`F^gw40G|Ic zs*GyC`+9OpsX*spg;80DwjOjD+%)p%pXdpH(W7gqFL^xLPC+IRFMX&)Uvt1Y9 zl%@uE3b$39{uEt)vwnf43TfjdA-BK?$<_t#-QjJNi}=$1mS9;=v-pIVR8*`bWb-q* z(Lk+i2xjMlg|#*gIKf*DcKaq8X)Sc!*<;c6*4A zE&LJ2o!)c;>->&}mw5=V)PStGPRf)u-*+95Ew1+$<4ZCsz~aocR|rCcGc}dWyGtLU z-ee{?6g(;(uG^E~5hCaB)GV{=)%8n%$=D4taOCLSgY}m*5l1=;NmtIRd&ZAQT>U9Q zCG_pH;MO%2HNF8HbggmhQ^Oz!D{$zJRcLEt<+E@@73?f|jgfEg>q_bc(%wP$O=Q+8 zwpJW@i0|5&svKcGyLR$cB`&hbFa9PJu7C;GPrua%=W>zniR?9eI_D9FB|xNq)|;{+ z0f^LB62DpJdE!ny$Vq*4d-)obd!H}BM&%J4p_p9N^Mu!h=x4ZM7HFrV_$ha<3S6t1 zLJ;N>UnMM567;3Z5@2QJFS74+Y?tyy1NAQ2-6?Nz?hW`n#1gm_2ol&F3aEwo?wZul z;VO=I?odwLmfB4O)Zj3DZ!h|PnW@&bALVn>sVl7P<^!p=HVB;SYFp8hfv5C7B-JVv zT-cun;M4nV}y?ThGP72ChU0}{+;+ED3*#=xrtKV2 z^G}tr_71Mk&__UVr0Ku1Bu$A3C?Z{SxDkah*ovZ27+2iS??nspUU^(U$S6Q3iBzUp2E+wBw98xuJzdl zBqXBHO@Oy|LuKIxyyHtth*O=c!qk=1?Xv*kHk3l>Ylu$LLD^sISR@HsQU>m>jhp}O zbH_dBHRyWv3_Y1O(dgIa&Nh;h%D&>R{+4XRjLN;z{@E0KrT^%EKEBRQ5or{Q-4(=` z-$%R>A^&FI_@l{@dsbh=!yl;fvn@6hg(&m}(P9Q!J?jC0FHJEc;|7~-xv09`^i-fl zl-%Y4!b&Ig$Iax2nD{1c#AY!al+KP3?)BXgysMg{7|e{1+VHQ7un7AqLrA>0g90RG zQhbw-{G*A|f!pv>?I%pkm4y@`3yHB*%wKa+>8K-Pf zhNs(Iyb+i+cEM-A1neAQdM%x}Rt%81K~h9pRW*Yhnxx28*Js*S?#+;T)#x{kg+`Smx`Ws|c;!!4m+>d3eMW=N&y_UNqK?8@9`So}kMIn{c0(!reVM@QwU4J7 zM@o6h$&>J+=03?v(&ovz#>?@ZFtHUdogoLb0#nU@RvU!c0LDmWp>nV2pY@4z_XTw6 zA$6uoQ2=n^J(>X1M0pMs}PatL8g)WTgQX4EXR zIc&~_3-yGal>y+g2Q)6r|N)b)g$CmY=u*i~h;f)1MlOn8tC!e8BV%(E~qcra@aeo>#-}W#$#C+!@+hk(;D9GT=D1=Hv^G0U-msw zBCuf(6xWy@qmW>cDs%o*4TGyoJ;jNCt-k#=u3akV?0Op<@lDo(rB(nIHP7GVRe!9M zzBd%o+=b9P@Bhen7HVYZi}f}`r@KzzMF{)pufB;pgdTEaN0FTlLjZ;$4ti6SH9^f{ zhLnsUz>6^5fGOzLjt@0e$liK6c`we`S%&`GDT`GvYu$80b;|Q{JJ@p|Ut&go8nbV) z_(|r@lY1|Qtl=L=GP9Snx3CvO$0g`6hDUU8t`!`JXL=s7i*R#mOx`~*CJkL0aa$mQ z_Z4WVczIS)(i7Y)D56dh^E`F2K`)c^oDk&>B)eijmZcoy#o3{%fih@2b~-)JPVg!% zmn}RPi}6qQqCm~yCgr%_7r!!p_;GebvrEH7#Di$rz5Ca&6v;zYkDQ&`ks?Z3MF>q1 zW8G=nXb3(~kPDgibL*KXw*=7a=vU=O3Oq$xxOlOPTZHL*kanX|x;Gksh14F%`MuxA zV94uwy%{5+E0U$DT7SV3E}d zpVq@y`1ka6YWGpMlOmFMscMCVil3R>sHgFTvZFF6%lvNj(ig)2?vlghjt=E|D_Y|2v!bA8lmRV`(ICGgr&xu%FL1?$-1idTWk7F=k|Eln|!KfiP=(j<&cbb}p2 z&UZF*mO6P|4a`tIA42s4Hg4qt!cV2U48QfZbA7(lpg&Hz!TKksEiGCwi$QB#QGwHq zhoV&Onl(TQ?HLPfC2sZs!#`lmZI3U*67FN@Kf9x<7g1C0y$(u$#|dD2Kd4@~E1~JL zT{UYcC-)Xo5$}D-tXsbK{&l9(ZsHI>Z2n$kw~>V$gaxjNDJZF|=)a}JU^ROnh3Q*W zoEtUL_8(4-(3V5YGX%PbXzrc#wyK$iq}E5rq9SK>5JcR6_T;M;!76x((Z3UJ z60CFLj$Lo(pmbslyd{_6vb73c32@mDFIU;2{x`r;^3NY~yk-#JvI#6dd94j6Y0T^5 z#(y95Ix)>uv2Z>|OL(tD=vtPDGkugB2Mk6Kny#|J;pCBj7@Nti3OB$hEF+$E{jjTT zEERW~o?R-DF#Fn+R25`aph{hBrqJZ3^zVMrDdlqD=toB2^XYxEjP~kZgtz%60b(cq z;GSA$G_Gbx&KPAVByU)DOHr^v(*!Qp7_pFPyMF^*Lw@6i*0{hP?71!`Kc z}m;YUILQ9Bg&VOpfSXS}RXg`&Wv%|z)DdUz=- z&$Ks^8bR`PXlEEsA>x8{*Srlau`)s+#Q`8dxNi7=0~J1s)Zq0Wj$5fYZ7v}1TNx%h z2i$(pZ?|Y!JzNFa>fd5aOjZ-D*pf6REAs08pEQZ2R2a;$6P`i0ylzoi>qGSFl|+ca z8kyLOeKX|{+bMJmo|N-t)_%DjQ-PpUrTH-CotDM(+KRZ;CHAHE0ljH3VT_j$?%;7^ z=-Kvvt9Ib&Zvc_;C~OcDG64RO3`d*?f8Ot~XYk@2X<-CjQ#dHod(A~gqmngU)YXTg zRegGJuCdcSVF>!{z4bOjuKMb^t7lzGZdkoLQEIhOvHuy*1>M|saoFHG=C znAy}m#MV|_V;=8PHedUvPWmzgbq}44ai#))`=NW)gkrrP%*koB4P!KeOG?tiLPTXGtD8u*3{#8~8eDpuNe(5+hgPI-N-gT`%v& zk=f}@GLa`XX)k5U96eyDLvbF}`{?DUkI1Q#GcwyUbjJ7GC(ij#veDOJ*hX-(g=y+~ zyCxdfvm-vEFsHHy|7gr?lf+THWnAWe(T93`;C4Px+$t1OavT*OUPJ)YQdh5j%>k=! zny860MNH)!Nrrij7pEC^Q|m65I&=D`Mox3OJ}$$o=(7~gI&i!ILN%c_yS@a=L+yiw zCX(rGb6K!aY$_oe*v%O88s+M=^Yf54$J~<_bP@^@EL!j?)F_t?O%IG_vc714HJ!@? zwJyPe5-+aNejg{t@MPm}!3-|QCDN|WJ1reK!TW1lC>nICAkM2DE-~Lt5;9LI5m#F7&TD5aU!@x8}-N(agHC^?2HZYkaMLfN6{U-ccQ* zoZ%SepAchbtzoucC!pHc7;Fih{nikR>dSH77eIcc&Tfn4uk4l;upZTiz6>2 zbEQ3E0mb5IRqujYp!sH`EPFJ$SZO!8es>(Z(!44eD~eWY8yx5;>eeJ<3st%o>52+9 z9Vcul_+PI;cfT=$U^yax0iGmaX*KNS^j^KTqMJ$lnqj*gu)futat3r8FK?YtAQT#_ zpH^yIJlup&-9|`Zv{gAZ?=WPKdleuDW~7&;bx0D+%>MYZ6K~O5Dv#hbC*9KPRqk6I z`eD>qqniYs1qayJht@D9O-3XC$)h0iiru2%eV!;=J&3{al94BWoOU*aM|-JHM9R2~ z;l*jmNsbWDYZ-ZDP_Ewb`fe;f6(%0vZmv&1y4A1`=ax^xn5kF&A#Ar4?;roJKTq5b zU?6Wy)93t$THDZ_##9`R0dxl-n|tQzPYduURl0zINlsgo-j@6xC@(m zmz4bB3RIdE@@{#5ZK$-#p{cUFf#Ch@OaF2C+cqieAf)I30^wS6Be~U8BB)1hpz+_W zme0G!Br@L(C=)2-7zu3%IHLj7_htB*sG;a zYr5b7nP7_N3sof~oh~vFzvjsUgEVGWguPRqqOqxf9T`O!*I;8i<=HXIiBR_zSzAtc zPLs;MVL2Q!vmTh>>fXKWr|$Tva`d=++xVeNoy~Df2hN0Rex~=>-qM%hl5;m_$HDu+ zDe2GJww?ulGc{g40-6NULjgibl!c_-3ZRY^#U4#@*bX&=FubYMV=z`6z81PxJi;wN zQme3vIEwauq`yO|>ho zyt|Oet&iOuh`8d=LyW7cBgFJ*VDpcU-^h1i&|htTM3i|H9)i&Nz9JCJK;BEz50mXA zrVNBt?aoYz>T_R)T|e$oM19OLMgh=kK7*ar)Ha@ooApsPG1Ds zxK#}Al62E`_te1OHmA^|P@e&!ht1R)3$n=W|2p?_;O{2-cK^H=FLu>43HWP& zoDiAb@)+IO`HhAQwa47FL;@#IbAS2^k}O#AOilpc^+2E`=+5-sXFhMd%Y@sfp|G$Y|}hz|0F8}qI|el+VKmGBt{g6VT_>@9$SR`^c{xQ3XBolNv6 z1pzTv{bGSXX2557=51?0!X2j~VB0o-6AxC~4?CH`SbQm=cj-sag4U$hv&F2Mp*wXq z>JkNX2GP=Hv>&o~82wp~CUNf4*wf@+`As&{377UO4?LvM^uuu~$qhohb9dRyEt>t` zXU|nDqRj|hFt1*s^Uze0NxQcYwtU492=fLOR|3|}Xm@0&uUYz_bNiUkBpxZ0FMBW0)ssKEj-K&w zlQ{D``;FNTPbx&)jZGQi0zKJ+$%-fY`>7fgB-j>Pc`xgy`l^``8^L3Lv>ra(BsLWz z337i(dvT_0B}w{-P(r}{yuGR}9Ox^dts$GDXQm(B2!c;gHdMV)h8=zXo)Qb($e0x8Xi^Lm*5K0qM05Go$r?M6sCB7a>Zx0}wbW zR{hSd0iv^Ghs>S|!@W2`+a>y&_a>S3o#l}vC!n*s@KR)ry$RKMyNc<8DYx4nfGcmm ziy7#hBbz^XnjXPzt(E=T!bc2@N0v+R+D1CrFf^3}oVeODUY09&mQQT+hWjf*+W93i zosTEPeuvhSUapycs&7eFC33qS1#I@1SWQ%qT`w(RXkvyaf~E>Zxme<=ZJQ_6ft_HP zY?Gmq`VCsb%+_$Gwwle*B6!)LS|7yUB*=c>Hzv19YW>xJ_Kwb|J|ZEi2ueK*K0SjaS2*>bgm)8gIod!d3BN z3S)JM*=S;a&OL37>m|WqcgXN2>O1dBdt?d7|(8~xxt5OV*XQo_AYEo~+a zixjh*)GZH?G9XHLASVn2K6vDRON*NthOjvDa=5YF`S;m zmIqoOgX3tUA>Gb?_nFIV4Lt`d(14kbm3gtG#SwF33-`^|Fj}l_rAA0l#=TTH==tb7 z-K=12RN^JdQonjzlh2WcT=+W*XQ~aiow8D{`?B0v*zisYUqp!+Gy=AAH3&EnZhk+@ zF&8g?&_!3WJKGb@Tc^N-%;7Vjk#?i1oPZ(o==moI04u2L{}621gm__zQeUw`(iPc; zxm`hbP|)WO0gP{6(!*?3HoxGzy$XvMRr2bHeUyix8~9TPmeRWs5`f@hZiCH-|XBF>@9HT-GLk0jE@t%RzB8BjRnXf#Ow?j{e zJoDWcw=N?NVADYrI;xx2yMvt??kzm*!pR?T^CYd;0|-;1XblPQcQI<@u6G~GEzSmi zgY*mv3&Dlz5Op>96Wx=VuPOWE+`mhJv5&izr~`2idXKs~t=O(vB}KpL%Lndmj@6~5()P~o5bQovLQXlUL)9^R?R-b&jTpmA zBA(jLBgDy0dK&2ciq;9x!!WKXgDIG*$!?Oj=O^FZWYP?IxiuyaubxMot zrZMMLJ5l^zPbwmVa7%S)zX6Ahk~yBh=%O3E6#57~CHHySG}Tu9!aUE(Q?p0mO` z%wfN9q?|f3TLj~*Cog0SVOw4&Pc0G;$#bNNanzo!-9PvmaK|>Ys~eK|=w&*U3r2Fm z<1~g~lZd2>l7WMx(F#JLpMm#Idc(6{2&+JWWOsVKVW5;ZvBX_je$4 zQysp;Ji?1std64-dZ*=o(%y>)-)IkFVi^Yi9JEIGJHseV^-7hQe$*j|m)8W=XQ3XY zdA{^;;oDl_dGGK@1mGGU|2?&A}VC$t_Gy^!65k{dTLC6%vo9kou_!&H-{8E9RuZz2C4zGg|pMd+Hr?-bh$*S_z zV=+-_bKag@oe{l%9UvNLQ#!2i0ZZ|dZtJEHsZY5+v!1N(LHWbcLsS(UdvTNCQf2Kg848g4Nq#(EbDz6z?B)uan#a&{xNa#+MVt{bTj@50eo`< zu{IXR!lfcI1*Jo6u={%a%YmxUC(qA8m_@4o)U-WJQa;vyZKZVq&TMXY$8l`AA_X;8 z{%N(-&j!52?el2ln<>vyh(WP_Y{WgN)=;4gebiJkV<^c^(TWjpP@nT=H$Z4yb3K>L z4_=tr`{K3?<&s>FP0wR?TtTncO&%2=q~HG84$8qJzRdX~ha+`9(c znZ8BN=rFqyY78tYJa>^jsC+S}kRl$!#2>87n!3z?P?1DV96{5xqyEELnxC9VpCDN< zyN(?XP)~`sZC8;uR7$0fXV!?i;7X}jjU-wp7m;&PjhgKAGjlpLbaTZ|^EqhIPWB`i zyp(<8snh}ZiuaqqRh}QIco0H=dO-h~?$K?Yl#;Hg=^i4QX6**VU>m{b!~Zv6%0Ixe z&>wbx0Jq9ve#h(hwCgELiUBL7<9-i>p{{VwSw=ZyQaeTqGYA5`YO%8mw@+WCzll{Q zk|r)2)Yc~}3jF(Lw(80oNODnKdzKTxZP;Pyy-4gynrR&YDas(e)C2~8f;oRaO~^4hr%%B&MYQ*SDwqJVHs)k_g7u+CX$ApTmqrYJbtI++ zxyp`R{3E3{`5?voU2NHt)>4~K$#noGmyrzg?Wz4FiPjm_o;yMA#YTbThwAEk9(4A2 zgH5-e3;9tje?8Cm?4u_`>Z0sr_!`owe+aHgK=ag)L8e%2WNNj2LnALVVHBsgyK|KS4QF9xrVcE`-Qa{FX&#AGg9 zy{5a2@}O{8OxC5cQw$lq9pI1ztp#|0A$P^h71%^_EjEu!oJ#7_)j$bOp{8IppZ2qBvNcP$h3pMa>s^8%8qqEM)4(%#D6}Aix4-VL8N3hF!{{CfUwxLCyurtRom41Zn zEW6Iuzkh?cA9n8%IQTvmE0$MO%*CEv+wK+P4!e{EThKMf^}F5`iyt6+_1jW^3Ug=R z6VDI}TVZ0yjL%~ZoZ%2e%RLaW|0>|3E?XS~KCB)svH|B$MV_rF(s6L~x#v|F(1!;M zGO-~g7(7sO-+I!26n!8-4uMu!kFh`PA6hrR@^%)g0B#hlrAlb)bB-2}kci4g9xcTo zKy2IxJD*!>%0z_)p^F#7TW-yN?7wDgb%v#^bi(gtbM?mtG5S2!+V(pZq;&stP;`~( zPTFFQoT>`m*WZjvx9Y7t?iBrx1$Pq5pjOH1;O=^-KMT{IBx3Z?KdpbxN$$j&8X7pPm(o`ccY-5b}HjGo*UJ5Hsu{XAa$YRi6GtNnaV-Dk!t zO~12GoS-f|5L-AufSfx_2`$(+Dh!R0*!RNXMUf$$2sSSyC;@DP7jd^iI~LqFH9*gs zQqLr4Q##J9laVv|u=u)vIajx(??IQ6%qU;=U;wp4FI+awHr$_La~JC9#RDM+N@smC3Qq{E60*E7p}_ZO9H(Q1<$L5LJ#Vx<-RpV_5ZSyO80qBsakA$-blEqSE)m_dP0NGEg9@~#Pg7u74?=D-+&^2s7& zPI$c_X}x)SLBwE?jG5Tzn&>A;5P(n2#Fih3k_fmcLxndt95jKwHN)?W07;Z(y}kz{ z$MgX_nRo?G=TE6O{iNWbZ6fvOwc|{*-WCjq(DvxH)|x_=QwWe5L8=S1;PN5-gEV|u z@*sfy6^6T2aM{0qsQxHM&D;Os1VkXKwhR`lgHfJmr+>A+f_;E7p2$T{ng-4aJ=eiu z&XJNoF%Rh2mG{d1+0!0J#G!JqS%z}t6TIL6Xfp3DC84NsrvF=tAf#WYj82Yu$R;TO zBicBGkwhvnEe2`x%Ta=KZQttnKM?K1KPgAIBjGIMdh4K z8>4cmv|Zx48YL$?J3pEu>4KI$gRb({DVylt{xW-L)z@Z>nGasLHBu^`b+2H@j0d_d!m#Cn0sq*C&iZf`Us~q<$!}`DlEvysB{h{_9Z!T z(dUYuNTJpCdvjF$5%kGSydEEr)b}><#yFn>-t#1akK|f+D7${HGJXvyhb66c;2y(G z&J9$5Y@)4Z2F+o`d0d)=1aV~GRHgy9;0Qz|G|K`j%`=|ko~TE(wW0|%UVVC&M!l1S zUMLn1Z4ukF`8El6{hpKsf*DBk)t%(9us7sEurX~i za|HrMhVxHIqn>t_g}7u1v;q4k$qDyNM0;9)cE0M)+NpJObF~xZijkv7!or8Xy&Gmh z-&qSf+IYKsI%N`H({>9os4FcB56hs?w3&w5Qg8rsTfMftb1kiD=_V|%s|eb2Gmj@C zOYy*~aP4M0!oouCI{ug!9Vc9bcL=%)*?c?r7moRbFwC7XawkAFY^Nh9ezQpNovvMf zLDZXxOZx_D1_dk9eDQaCy&27?F|mGPBABOihd7QFPzxg7X0hOtS$)YbdhuK#*)?ci zvjq0-GsR@I28r5!6(#&be#OawMP{o~qD|MA?k3A(wYuX;BpzjRX8+;J!g%oO!HvZD z-1n|kqCqQOSAZF6v(Od86{QUDKuXYmM^L*?`zXETRpCHMc-NdUUDuKvAohg|$MIjN z;LO*{GxDKE~4Y@OvNpOvQsgc`uWKcZG(2Ez6UJ(?vvo)NCgE% zhzov!ggd9++KBu;NA_&Hb5xm4j^Nz>YD$g*@}-{BBH@aGV{8vv4t*ZreLgcAY(4g| z;^IrUv9tTwlPHkGdX7iA;O0z!-n4H*HR=k!#LqY^pN9A!VQ?O`A#Y{ zdEe1a>&>e1Xf>(VlxQVn8cW!ERi>BM2IN}DtGv$XHtip9dAAXVF zB9aUXF`lNN@-{*-+Oo-iia7v7K)k;+w@zv1ErZLWG8V6-6q;-4$t<$F6En66ze|Ax(uie@lj-KGc*yvr6AZ zs0Top*=H&9kDeO5l5i?jZ+;Lop;D)vI}+Jq!)4^t;|)r^Av&$<1ZpQdOt-DSkY@^e zxs4yqF)$5{v$Ss5{QQ2otk=3H+hNQ&s_6VV45;?@q=A7szP_i#)1ltqa((t5JURe^X9xyTxQ*-+OWp)bMoU zve&#_xU%0SbqH5jo}Y3mI5KvAvr#7!PQp-q^QIa z$WhpP*#>@>=r2T0NZ3a%vFX`S|bz!O#L*=(dK)H z7tgP~ss+$6VqHc+pW8p#;;d|}X2_T!aHFEf(p@-bm~)PMzGAD=ZdnK2yRpKp!NCNh zlY-~&>TY{3hcx}2I*wj?iI*6)*MEoa66?%8yW69Df4C_>Bru*kE=?^=Eoq@KG@pS% z>ud{A020tyQKF2ka3#C73^YF|8aRBgw<2!!Hm#Q1YDHsBe*FH`0u3vqhO+GhHP4Xb zzO`+AO_IJy+&=wtoZifk=a4v0&c$hZx%H|U8x;^a7K|xTq3As){yN}h(7`j; zWA8yle_GaQdtKsZU09yw1AM6N0{@c!pSUzG8ZAH%{rr%ML}ze8$>m}y-4+vywzfBKd!_lewp>>Se9gG63Dw4 zCxdeF)zjRbjXb;&Vevv^wo^r$F zKPq2s5cQ3g&!0@Dny5Oy!7B}fxwXky1@f!#j2zV*yQ{&R+B7lpJF7KGVy$P0AvD$H zDkuH$M+}0qEC!SHEe1z9nz}y+mnDC;J{_Aw@rgromZ=Frk5;!3cJ+u=GVNQ9GcU)7 zf2*)zsG{izx=hTdod-odxJ#EWy@MdHKz!i5g>E<~i>2g{BBbTs#bNVa*WT{Ia)1QyMwUrgnSc&9ZNo5M(^33O#)a_Q*D7SW z{#6mESxL%3tm)P?e6MA+&mKRqg`xWCf3sR2Ba?m*aEordQsYCB%B$o$U;@|_;c8}7 z4|g<2eEqNdlSo`~*-aU!l@gxomK44l8e&As+P0?6X4Bjys)gs0q3F+xQ4yPQz@Tw7 zK^RMitxmG29S2u{_rr|Ae15hIwD#(esu@l#n{}WWNh#TFi_tr@f_(EIuDWPLe^6k( zlF@Bk1q+yK1-(~zwp~9S_(9xZRYs?8ieG;{irwu(y9z_Cky*zta#2j%%42*mRjk(v zyR(-cyOt42pFDYZB$+ihGY&t6hgtEV5h!p^43+7dA;Q|*mRWtP(jwB?8!6S4N7(%d z&^04gMuhgH9@xVb%}bR$C8FNee^V?S861v1N@PYDS~QoSNxy{AlufA?NR+nz=M_f* zQDHy>KjaHf5D4IGe3Mx`NPV>(W+U(yOk1v3&I`kGriS&)|8k(~2}J)wMx{;zVGuGr zn|-!ex@fe2KU>%%hq4wB#II7_%*$Ld;QMwWm5tnDNm^3Md5 zXL&`Gg$(w=3h>tgDV1@{zfjXg1L$^R^TF@>bq*HTUtIk7QG~$| z%zvLN>Gmw%0dV6D4w0qKtk-S+8ula?P7BX!;CSylvU=fg$sOge+KQfJTA$smbPm^ z{C=U7>J<|XL<06d4P%j|6$kdGh5IgL#{+I71J6u*8?=>KPH`t2l25Ao>s_J&96tRFb;EoP_K2B`=JeM~p!7Ps z#~+p{Jj~s%H}Nc;sHh)b^#BHD?Uq&^r93q8|q|w^s z;o4aV$j7TV?w^{drft?2qv!b&puw>lO%>#bb}UR4L%v;H*^(v9*UBCXM|3o+xZRRT z=b@aFFZ*Gpe|NNY1)H&+Wl4+x0ehl7LtVd<4&CXGzxh4Ts*LlE=D}z;U{Gnmr) ze54(ltl+KQVU~1JnfEnqDVWI3do+cat>1!XZ(&Ul*Dv@401cD%iNXBk$7trh(qk`` z_fJZ5b7oGG{{hN*Ee;Cy*sX*&o~*e@DDI=23C2=2*={Y=xtV@ryuODjGXk zNGyyF3xw(y>$2xi8nIuncF0X38I?7f#;VauzJ{yaS09hy>F#npjHXf!-H*_25v=~# z=9$7pp9)Abpc8aX(4TE?rM-v1o9cWAcSeke_6ZY?C(0g^>aw2R z{e)!b3B>CF%UdMvmAs>z%H3M;FOrI-e^Uqm9?&`t3f5^`zB<2yY3Rn>Q`su|jz6+3 z6yxxz$F=O6o{@*@1BAJ|Sfj0s9y+u2Jim~QY;IP@Nge4@@mXg&&3+f9$BW z#Ma+r<>7+7BdZb1c)Egx1H@e=avL;;{24#c(NwzhNZBntO9yj{a*nK!KJS}OjcRi_*jMz=*!=jG6n+C_?Xf!el__*UQ z{hIgdmr5+5r;&>YNy1fHRCrRr$1gDsa2H}{#rI$F3p}Xe?WoWn)Tx3 zpc^KtEcmx#bU*GBx5jfyJKbM}tr((I-PMcyI<7GMBYoI6ktFLz1$Co41xtO?5__&q zu5b7of-thfO&b0sxExo@fts8-(ch(IiP+tUCJI;v#Lj2)9y1XSI8v$Gf%>MUXu-Yh zfHRFe*bd#B7;Gt$&jzE)e|jpoGF;;}eeCYf2#j&%atd~;Hv^nl$7<5cgx602NTSoT zWFaTpEcOC!Uelg($%0oUBZep(_&+KN3e4U^K64OooxXhu9fgRZx+p@=iyp!o)KA0A z=PPkP+&L+LU!vLz8@(EYqUEJj7KSxB3hl4#=Qk{qA3I$C8;x3Re{IYl;%mLWHwp@6 zJOK|Ay~~QJv?838(x#IMLvM3xFu%TCmjs<23vi=8!8o0n?fYOjSwe$VAY)zKF_Kq& zHyEoL2<*)gk3{2_*!?#WGS@JvYny+Qg7Sr;CVte~h>$yon+Y5(aCI@Ki2pAP5A*QD z*dZ*l1$*Y3De`~ve-$C)!@Iv~B4t<~Ps48YyA4`5@xCiU=+#x_NM7ZT!SWKlC1DAkV z6E{o<^snS$<)ZJNr_+^gpxihB=*=a!jmV-J5#-tucbtmOe^K4xQIR7<OT|r(th{ zxM-eH*tDgS^%OSGW0o{Yw|g=6!K)7Bw~A)S)4g%RGfMiguiWuo~n1l;mtt&mVTWEw`DOL6jxv?&9J75@L!gzumi(VRdpkIhtT?VQR1)zzv-)wtz^cLTi+`hNognvs?YLxYZ zSCR=`u~8JzxYgVGFB}5qj+j3_k?J2``P<;Sb7wy?e{$9l!A;D>4`BTE)cjQi>Eh7n zc@p64IYvQ`+}Ci{U6;H@Avs$&0r%95ZK5_o;iOFfdOAu9|H{lSXkWMs_>A$m-WJ^d zE^23j35!5ap9V+Xldij9K85dxnyAC}ix3Wqw5&FgN6swH*Z|Vjqh`NJSZHjCgph%G z(}>{#f4a5uc!Gkz)r#t!(Et|&K+SY;pUw@iCn9ZgX|zMdJgn(cQ=?`Z5Q?Oc;@`UN zSmn}VmHe#?nTzdLmL0AzWBd{P@f|)Z)<0L@H{I)=n3bQi?DtzZzr4``(fZWnRvziO zW*m^B49^`ZcG0r>8i|nISsbuWUE7OEh_)~^e+_}apQULKu^^1(>wE}V6a!UK}SJyUi>9dnGgiPfykSkq(t|a>(4`(^Y?uZj6W1+GAC%!~%9R6c& ze_gX!oiIlD^Bg!kb%-J+bium1bX$#Ni*!sEzz9j-B;X17iqdbl?wT_Z*J9~je2wVS zC^6*?8~JECr)twIB-gSC$*u`&MGPhN7Lt(ypXNKb?2JH~^;_jDpF~WYAt$yG4TR?} z;yfa+ngo;+gP1+^ly4 zK!G6ifVU$!Fq!qX11Y_f^o8|Q(i&W9_mhl3A@a_5Zhu56o8A8pAx{WIMs{JJF*M5_ zu21oxFcR!~v|>0CsE+`z1VOWxi2)Z*htGv26~rYxgHDJ?o-GcQu`OT>DO~)Ne?yj$ zANUk|CwkiNdd)Rg)hW!m5G_AVW9$blBq^x35el88Bl(H1a9SH;k7-D#m;-ZUh4*uB z`~g~2#qw%9kI2qlz$2mS^^~U?xc(_}_y)GhA?sA9MK)DYm9Mwx(|LM_1}-FQeLL92 z8B)orhu23H>{}>*<$Z(D^eUG)f4(=(x-2u#YI1mTyA4{z4d?GJ+;|RQr9FEFL&XKN zyX5jPi1>XF@|xkZ!U)^RX>T?(^iWZ(xM3_Lo1|^6Kv7t<)o4<&ldy`Oh|BBH z8F`f=$TDXT^Fy;n-;kTMptX#omi*?#8p+AqwdggI-!tGeZeH#Tq_pLBf5E%hC`O8) zmi`sK5Y6jQ^QNsYW0#94rjwMH;OK_e-l14%ggtgx&(y1kv<4tM#-_h^e+FozAKR~t z0&Ed;#nk_Ccy5Gxwu!xh~!iaG=f*``>Qn>(pp zcZT(9eNFoM_fd!8Mr-#WP>^FBO+qs^`G5*Z8R3+u28%&0gfKM@e+M*<8+EG|jTy8_ z5S}-UiqZ-Br>y)BHhOf1^ldu`RgI4`sb}jU4Nlmk-f#GuazZKV*s;Dzw#y=mMm0Zt zt?|tTDiNl^mFE_S82U|med*XF2JfXGr;M+9&~6RP-%H6z)^hE$9(z> z^s#tA4~J`rEK2EUe?F0wiZ&1kgaNEpTWZF6L&wGbUC&;;DFCx~Hi8CW*_XFH^zwD9 zH1Fbh)!X-fwYqF{66AZP1@pV|o+GRorN)*ia4y_XGvmqW3opHR;+RjbW*AgI$<18f zJY?^+cn-%-ELfWfi?_e6p|@BewGi04R=b)~C4)Hj)Khh6u|6DF@zwt$7mpk@u^e8`tK40Ik;A1SB-o+m? z?u%lCCnxvFpLL#@VkOkZT@!)-gAYH=CYODg zb++Yp^vurofBBY%Kn3Ld>C!cENGpy)SnZBmM2MSJIu^JDL5e9^IRzg&RzwXCJ?4TR zD!_QiKy0mdPM3FEhE+-LbuY_hS(x}Fh${Rw`I*Nk-jzQzl*^fCi}Gt2w@v3F_|YE> zy#szDN(Di39qf?@6$N-W-Cs3GYcMvyBA(j)=)?Age{bz?T7RYhSLA(mL|3&yrR~wH zFn)JUfBU(2sLi;Hp+5U?Rv`lKz-nXYoa`>X?+-0x7;_yoptKv*xY|!69!QK$y9qs< zyhTa8di>1&{=+?JG};T;sMe|#f@axeQd^YIHvM$8Y!{ylgvaXf>> znf!mw|4`6@@-5T2v%-Wb!&Ni4LU zhl+$MW~YUV45NSVzd!RPUADoqoWL^dLPN+{pwGeo9CUY2|Li=Z_A=5s`H&AYm1wYf ze`e;+`Cc}05h#?3A&%OHW;jaq2^`|cqF6K?bJhvn2%s?=vBp|^+x1VhEPlV+q*ZE% zNV%z&?Df(>yhmD1=u3+kM#swTH)f0r;j(S1&Fh#}#$I?`!ead-wdM@h{<(a6-G`9j@CF!f)^JdDHt1Dj1tul92k5t zY)FtOl{0U^bYL!N_hZP{kqe1dJ5Ukp$g&=5)hVcu1`qT{U$?2H@{!b?eEk;je}WB0 zw`gd=by6q?NUC3&J#-cajSrItp& z*eg1g7?JK0C|y2wVr}j{P0| z?<6W$;Wey*n9p8$HGFRk@91oM%i#njp>+unayZmno)nu$4fy_^MSleh zsfd8Wv5T@8_{UJb?fA{`1o=;U7}W*~$=Z^Xv;A?topkpdI;Os8AF`W@EN#7?lvX4| zmW|nLShJUDRi6fr_|hM7HduGa2bH{OvhzAcf^Scla%W%gT(xmk*iJkKe{g1@9nZl? zhYNIqgxH|U+dkJsBN_-5+z2rDCKJjph``EC2F**d6 zCR7N=4RpO_|E>j!VUCSA;$nDkS$iz%N}I4jnko%%x1x?PqfL|~s+m<2BGV83ldyQZ z{p9RY>pzg+@s9h=9D#sUf5V;@pZ2T65>>|TTQ=Sq0|?&3<$Unx?ifZUJwvm_N1oHA zW7iUEC1G(|ehPVOIFh6j93ArBCp2b{c;r1`rY~RieOL+_Z1QW z-qwYm&^!T3A1kaIkUEpNSr-PUZCK$Ol5@W_%1`>3-x=XnglsO1v%i|?C*kp+dn=IG_B z1w+t@{VjXpOw|w>F*y_eY*cb}ky+WM+?{)#Z?QzCR`o;Js^y-`@K^v5Bes3<=8-C9 zI|uh&Ud)dd*qQM9e=HXYGq5Fu=Q4?P_jPGxO)(?1As=~%m-W#cTfxPppoHcZIKfEqGSo_jKe(}jUiZK~0nZkD4STy{sdk#p>-8Q5H6?Y@(Cx=* zf|5Zc$`DF3{^-752h*n1{}lWuOI2VsO{@4oB{8+S@F=I~#d(bhNnoRFayS-fo^Ngo6`h{^5ilKEJ$G>hl|??D@Qe>&UKx8O728{TY-f^$DpANFD3 zc1I7oCUJ24`=Z|=>hHE_$(hHVv^!bfFQ*WVsQaU{$Qy8hf1ZQ#`$g zTct(D+3XUviduEbq%xx!15|_Fl@-}5z@>N|xSp>j@nm}ZtA}6v#>86!-;!lf5M-7? zS&cI~A-*soJih{#CDrvEO9iS*>9E=rbE&a53EEuDkMMuE5$u=2*#i@ozB2|Ew=?Ag zCR>+ss|FRfZa@V|W0xKf2Nt)@qXmgYmnKjL7PoBa1yf3ww{Hg&6EZY1F$ynCWo~D5 zXfhx&I5jXemw`Y96$CjrIX0CM2`7KFxMfsa+qN}|yA#|BcXto&?iRFg3U?2#!QI_m zgG(T|yF)_o;4Y8sbMM*vobUd9ty)PRKKdMUu3C$dR9THt#LV6VC}|IJVPs`u;RDDk zsM^~ZgLoKKfflZ|#!dh>CKeVB1WHOVC!n#5l|4w@*agT3;C8VDD4DvvyS{&0u(0qV zPy(cYAfVH`(hOkY2~YsK7^{0a09gSv#(x22duJC$6JzIhH4tQB1p?B(yNKC4csf~G zSi1a)!OqC|C(<8pQ6_+_v8j!{yR(fIz!+o(kY!R}0w~(MzYDDZH1;5X3DDBm)*N7O z4p0Yb12ohmRMh}ds!AHlYP5e$?}61^9USbP{-+i(HFXUs27tJTqPheCsL243(oj?X z^QjI5z1MHS08mta*Z;}$ZurMtK|)~oHh5uDK z{X5P7mM&`l-kH9wx37P(`+u*PG04@~>mS_wXWORsAZIIQ7w3OP1Om*hY=M8OcmA_x zR-nIR3L=U!k`ij_jPmb;2VzvPe`g28|5t8q1u`@L!@Pf)s{^wJ$jZ?bC?ozq z*6$*OzhxFc7XS+Y=m-FMm|8ObN%z;Z{1LPM5x>*m>+N9g05CVUbq4xcnFHUy5WJm@ z-GBfWCs&}a_dgZ?i4a)10cKXFF7Jc>zF83diY@~(w+Hb4OZ;BR|Em6H1Ze)+sI>39 z)XW}a>j^Lenj?QOE84rf4+PEsKl|*za!I<{+A12`0crl5(*L$IwzIPJ{140jvd{wl zsg*|2-pS6`_P=yi&XQIhKr>}47gNiB5&JK>jEnL6?2CXbY=Q5K@|Q^C&vvqXpWFAd z$Li0~1z=?TL+gL&-bd2Z1_X3=2C#Ger2@Xw@LvVLbN_#*TmZAWmaMdbDEpv6GXrCj!g+Ah2NaRHb`|3=&ZX0g8!4}e+x--w$9z%2PUVg)cu{f*cF%+h}&4gj<4 zzY)*7pYng-h#kPJ_BVRBRR0^j*P{71dap(6--!1e8UGuxvb~!cJDXa)(`{=8{I{Hg z?T^?6=w#(=^SA4J8zz4vUI4S{-wy8un7(i1e}ravuh;A!@V!ysKj3=?^MBOw9?jh9 zZ_NJgY;OAx^Y?Zw{sG_9S^k~;eI+bC9V~&Me^`IK%l;9M<-Kj2f57)v{u%u}yWQWA z^*#ANLb1MAZvS_(cUybVKRRK3@5JG6^}DZw@%u4s3p986Tgv)B(tmC0e~aJQcX%h+ z{vSO3X~xmj-Uav{0a*W-{w4m;2&}B{OgQ}mzI!|W9sj*+XIo=u%YPWW$N8uGyM^mN z;5&aWZvTMqy}JKnk>0!T{0Dq*-0SaL@2*}zr+*RkpZihy&-Li9qn73G4f;P9>c6m> zi<7+#P|M2f{ZGn2Ocab=oUAwkY4{6_-HzmNETc#DeKdw4T)yzgyB zHeR-O2H!{jeX%%w|HIexU)RjP&gl1(ZM2=oA&BCIUhoAL)+r?!Na`$-f| zS3pzpGM!Xm3u(*7L#<>?cM{-==k1aKg^L2)0y3$J?B%8T4E&M@isw zhrS-nUsazhF@&=pXRuITF?AyP=|$*GyGJlrjm6b-p+8^`<3aAQaeLq!ETIIk-y`Ru z$Z&-vmGLt}<$Q1>eihRR8m5b9!}))n1X4IAD_>(?j8bcFf^fre+5UxjEUPr~Ev%4o z1Us?1(_{-sOZ2I=D+pd@fO89uCOeK93xh$K3gwJmYFn)8;Y4==Nn>nbRHxI0HG?41 zARD09T0Myf=4p?Kyq6HV6_|Wp2=U^aWvwuujP8GfHa}NP8@k$wqPICA^+SJ$nSw-t z=)RvaX>r#!yB-Pp9Mr^X*4ay)b8e@^WD~%vY#!i0?4YqTOPE zB1S81^))tWsil~s!vXGl%k6a%8Y1}??!|gLouBH?W}N~m3q563UgO+GNz*XCDXd1d z-Ws<$xB+w=1{;CjbV~ODUfDB<*4iEB7&*G}v z^nd*7tWCx_DN`!f_%$bwzD3naHz_w3I&7hf=O^)&e478ynha~h@g0ATrCZ9c=6uFA zgNf0l(K05&+h=ov1=G>PUqZ`Zf5mrZJs<1GT%$!YvnHYF*_SsiJt#aC{Mtt%Fg8GP zSHfW*CO{fNDarPgi%&ps`v@qF^D4-~M$0q2Z2h1GlbVE(INK=lD@*xqcBHVctCY0O z9IucMmH2iin$tKb20MQO_sH;Jt%hR1w}*IMGakkHx(|`|(piafTZu#i3HBWQU{{dt z_I#q)r>})!vQ|uWVQYLRc`-c+7ox1&U&@bd`~DuE(5jjsz17d!-MTGqaNe*>S*}L z^7?fcOGOBp5-L8teTCre_)T2AvRDRrsCXip;OaM~NIq2>l1H4UY{+lhJw`IGWVROK zotHL&$#5CvNTGkcm&!x(ux6@Lq>Kbs<)AIS6Y!Jqc#}nFY%q&sO8lsgb7Wb#Z$MSR z+`3b%B<^I|MC+bI-dCu+x52rA+G;o}F#bJ0q+x}?OgWT&B~!;wsfLobOcKTW_)26 z?rAHRH{>w=3+ptI1=Bcl$k&nnZnEEJyY)1NwIJJ{F+8}Y^654{+y8~w7m>O6b0FcW z?=g%yJ|ndY;YrD5vd#JB`j#41S7=c4-shM|ukC++DCD0Hm6uIpAvk$(;m~}C9$nY^ znUZqZ`Lxi%4QY;qtvHT{?3D?lTtm~K7)2E@RHI|7sRIW#5SU0xS1sb4ndb_Y4%dR= zmb}YYiwTWT!Q`%=kMPQLFR2f7ND^XpJhi)ugos1S+W4u#xJDkC#ZNs#)IuQ(7@YpN z?W2E$E4@r>D##l(R5Vs-C2h1;r&n&(kJL}Nu)D|Y`d<}nk6-u1zVn#tfwM=@Zg{pm z6EJyo2N*~nIH*r1oK_1dD)Ymh2wtj+7WIOAQdw>KqfbUx^`y&*NU@$*d|aGENZ7_l zR}_~gfqx@p@|MmJIXcjva7=cOj3Ko6Xgz<&EjA~9+K~*+dBcWkidc+*(XW}gkLMbh z)e-J506<5A`KjngHQ>N+bc(ssi^p{?z_ts*DHZb_H^zm$y`G6Erx}WOUPv_77uN|v zRs|(1F#$Q4H`QEDBj)szAiKhMR);@n{_asrfXL+7&aBYLsTidnz6r$DTS%Je2Qq*C z9J(V=X5oKg?^a1sa~$|I@>Z5aqDExv8 zmtku28I<}QpI2ZwoUA7%UA^VAg>Kg^!O_;w|1r~>8@^fmy9jgCttfOOc6d-GQW_N5 zs&RBrFP~S*hsW6rKN=2%ZAt8#i^hMM^RU_D3m$|#7bUlLxDQH;McF1z71BOV*P0O- zb#Y`7*Btybg2d@Clvys_oSb3)>Mf+&tQ@pm!$FZrXulffnfg1r6bTAG8P-AKwwoV& z#M7pZhATKqyOAe@FTME$zL3rD%|EtH1-ky$;WS4KZou4|G>IwgEj13Jo`QcIb)uK~ zXvh6cH)k*0>ho~P$Sr5W(ApIT-J+TtmeCn7zUDf*c1m2|FaWDgzx@R^Wpwik67SX* zPGT&6waj~R=dk4{hSS*;UwK%IytmES0Tq%OG}PiUsk1n|kDdmoSev@!qKHFlI;^tW zZ>S??$4lQYFj`PAB23Ax*N{yCN6MyuqO=wYTWlxCMYQ;?mti8SYVxzIw>F zIbV5<;dSkq2YjzaE4F1Hth1ZC@PXJP*=Wu4NPg0xcUS=lGu^DXk1-bYcT!H-{4TFGDTQZgR*Z}GwHSR( z%|2nHWO?R;(f5h%dD_j+ZLnz;i%03o7-fCqnwLi5 z*94O$c{{7JOga~cL@Z+HR&DZyz*h>w{2^@1jNVxggk2kZ3_$GoHmV${;35$)>}lvN z2*Vq}I6SWsSrUJb?W!jx?<|J{<2puqS1qUWxe5L{fvp4|D6``7^cc>SjU2NR84d3o zET4>+xf+q2=u|MX%(vOmsPe3QdN32Ixm*ev+9KfzX)nPwSDhDK@m;n#NR(I~PBJ?t zwLk7d7Qy&dQ=#dQY;^}i)vjb^k0GjCY`+pk{DIi~XM=zA5&_G>PR>RdUg|vp=L^UW zg1riQpVXE$V?EJ>a_aQIi1DCn$MZHJ{z?JrkXX$d+9Jad{ZN1l!p z@=hh<(lmw5r~XcW(P$UysG;wI{6Y%l3x;<>gImp!7^YzHr1?7gEoLTA_3l#+pY{4$ zu-f?JDg}R)%`bucMjJV1>fl+4Od83d(}IG{MVp&s`a`GzG)0<=X5LI6f+R5PNeY#K zw}5r$+JZI$GJcg`>22RReMnGF$So+=hDJ6alTuBHwH1i7D{CDK4fsowK6uTp>ry-;b||$jY(L=w_nU`pBGXtD(*`iKA3Q(wp`ZJSCLX`BO8{xyMyTVLWth zi1~2aD&I->cwE2!u81RCcm&OBd5Ha_lWDlwP|_cx!? zx{ZIiKH3TK@@nGOTi=MD9!*5`@J0f?r@iTa~msTvTST7=OHq1{mu4OlTWN{lGEU~yesAE}tTu{KX7Py+W-rz@v*vl@S}&l91d=g^o?7J!+k zoBy!8N%}dH7{J^dyU)--txKBs!hD*YD4Tzoifzx3eKZyfJavS0p!@BTDs119x-W4E zv8X(H)-k9O>e#j@jzB}Bvt~xT^6>FhCKgI#1R#c(>0Aq^KL@v|6X4MU)Po&H3j_MC z5JnV0j@MK)j10@RAR{@CU;ALZxzQ-_!~Q70u2l$=t)@?)&>wB<%c8Q;{+3-={(*lL z-I9itR=C?0&Y@Myz#@n~Y@0HjA#jhF%x0F@MM*$tP>IJ}pL&7HVGH_r*A$GAH%#4Q zZF{)piX}9S*j)~e{ugf(&9!}(UqWvws&-+D@2-8~u@4$vTYiiPXZeuK$1;|Uxr7H{ z+Z|dt6A@y&J6~C)253D0s`dyGkad6gBWxi`8$vGgym?@&Y~GcNqNQ*+G(y&}^%5WY zMi>{HvC0bVcuI1q1N;F{8uV$0HQn+VSt^s7d>t;dv4=>71lh?d4jP$>L6`~22cr&S9wjZRZX9XzVeBx}X z$$VbnMUE3}D~gs%dYdqKH0!!KLtRNFsWNU$TZxnlDtI1!84t}~!TvUOk1=;chUn`` z*%G11YUyN|ec%A3>b{B-+>?JCH)Gt@!FJ{UKAbKSTZYsC^L`Vdeh*_5PwLp$9A$W* zY%9jHimSg*@Uxv$?Quu@+s)Q!AQ`3TWZ>n5YLi#=ru|2-M{U)FH5#aF=x&ufl>)5! zTV*EpXLw%HGHK{9!Zq2eqTH{cU~>s+T#P^b;B+faqH!4@Q!Oi%#aDla+O>X)SgdMe znb=z#IASR@$w4C^yK5D7`kXHmD`OlrLWQPcrVR#H<30*pP_wsQH7QB|@~pCduT=Yo zlq+if6n?s5dUKK^9exJvh^WT>9{&M4(7k!g~3Szj;dyV69 zWzajX-z(I#8_T2s4q1OEHO#Tw0CJ1)v#MDr!Jb}#5`DXkL!OQ15mg_obs=GFg!ok( zn{Ecj?X(Ov?3+n3htY5%ibEn=7_TGUj$A$pHN@1|@^7T*`8*QSmWH90=XM^5B}Uhm zv7LMM$mYrq#tsbFYc{#VC7tjkuGBB76|YrOKebs(ZEYwx!fJnX&9XxfK>(7CwSdg& zVWC|QR2k(d{evLU3Px?(hSHmS6u#mL!E!X%S+p>a#*q?*Cgz>lIGf6etz&`0Mcr5$mes#@TjiYQ`P8d&n& z)ar=@T*qfZRp);hPqZ>f_=>nFVi^Ha{LHa;ae!2S4I&J=}#PfU2)&#E1>oBMkT zGG4!aNJIoG0q+?iR*+Sr>dNHCDcecouDo-|ZP=5d3O0Xx;p4CTu`2PyI_{REKz%`n z)dAVw;FgLJX8qSfK;(ieX|-rl-8(vID4D+&;vpLy^;TP}e&i&c+biyKldr&Ph`@C8gE zt)WGLgdP}NSmC=D%8WgdZSIm#X)#0zmH3D4SK@zkBbPkt@m)Da7$x_)g zv{6<}zMMk;@@7Brxps_EjkYHRxv@RM2FKuiiOA?@6LrKlgi5?@C79xRYY1~B9p2Pf z=h0)TnM5@nGkn|q**^y-@RhO;EygI2Xg|R*)$3YH#mHiCDL5%Eh31{R*X5RG1C@Q$HK^sH|y2c=(q$qSobXuu75->mxu>)PPSMiY|9Bnn7QP~B-ylyY7--w<&%sB zo{(gbSAgJzu^K91N0BP_~*@swsP zeb+QigI{m<6TikQCdMrfYlZ?I)wJ^w7F+n7V-8sfnV&k^rVfsfeedI8UrBCWhEeY%&U(DckR@(? zFKdOWnU@iKTtB&>qR(~d7wyYY_pvvh9y1`kspIck#rc91>MX8=3AA95&O;{Fo3o6`E^ z)g6B*<>F$0ZixDPi{lW-(=N2y;?ug`6;eGD5ogKaX_CPou9@oTYxR* zLqJZmnb!A5Q5~%%3(Y1J<(+><^|zCP{WPq}qSTUc%Vgsf{iV-!-F_u+!+S0cyLIl- z+fX=5;j4$yt=JVoWJE)P5p&xg<#y0s$VXD>`j$93Q~3aVH_#2|MnG-3Kkqx2h|EiXf}{wmVP3 zUbgj!Xf8fy3V~DH8rYNC^HXuf3Ug8dxFGz>n)Fe&dS{85d{p>R&0_u#i<YIp^~+S*xkVmdaBlfBil>H*zS!J(vx@Ph{Gr@brxz=+Yr>t5AS0`-4`Aq#!olnO z)Sk+)Tj~Vs>281h8qyuPPQ|7gr5y31r!6aUaVxqTougahoTrGMG-0D3oPWzgF|V|P z8dpE6F-rBBD$|#jKT2E>LkbqyX-Otfd=K(6??Vsp+BtgGMdNa?SWsF-?X6S6)B8$O zkD2s*wh;b9Xe4|$^9Z}~g^VD{N~J{z30(ph(bf)*GU$I!5CL^|JWdTs@pW**=ekSJ zZrsohe%GfPdIycFjqB6?NVKzYoKjEJnO)=j$A?6NUCD2J)JoYZl=yjKON*+FEJM-! zE=UD+BZutQ*zBII{4N2KDfLQ7Hot6UoQQsN@dGQtDaqC^T(!8rswI`VIl$YKTDFAH z2bV^K0n~pE6Jf!%`Ausoou&%-ad?|T@`Lw=R=3`Ia@mKEpqfBE3;QOjq3w^g)o;Pt z=~8L871jj)EZ@C_-a5VZ4=(glxrWayU{`5~#SWQBj5kKlw{dzbGoGau$=&dUmf4VD z0xq^kWSf<=gwo4@6TX#KbG7aU4{B0 z7NEg*O>HmTbUrfEK!v51SR-AmHL8CGMzzn;Lv{!4#BZ15JW>kxey-a}sK+tH%$l%b zz^J`YE{$v2wUf#1R@V;@QQzPYL>(`Sp^eA=!B2K4`CX-mPTJdxc|@rr2~C*)ZU5~9~IT}%9*6D`3$$qw^2&rGw? z!wsQ1gyP(BaS39TT$QlQG$Tc>n6Sw*EPrQaij}LZCwA4`i?vA9 zMYN3!!)(f6a$vFG>FzeMjyeR#>c|PLR*}$jrZkL-hbYaM;gm|^D~A$JZ7?~ks}~g5 z5P4|RvEQ&sV^P$)h4r!TKSSZ|Y0A$-{;t@6YB5;oZqZfu2V^B?hhXC}6rZQqjy-=k zzHU-(+ep<3`9uEZnuLs7lQ<$lw9Yd{9vc*V%ckx!JH6AAGo}wYstmRP^@(pXRM7|* z>RwpeEwAtR*NdB%F%fY>^Ft8H-#rni!gYUU_4nAx2wFr;!(9qXA;5Zz=usWo#20tKERra>7BBZ$9hIb_%KxO8+d_dy6E36caHBh;lz&6nIj@d)L#|h z;gXaq^*c0jFu>pIVp$vY{q{zAY}Xd!6RcVaK?9}U&%?+mxdvSxmWe5C%9MXq{0!{X z2&|w|jrK4MDa;8+yLhv!(WR7!Y&mX^pAas$nQi!AiBAY*_Tj$cPgqtCG(-SmMQU2n z9gi-&l*+3CSKTOJRP+kU<+N7!rsIkXgB_{ubP+(e-3E5{%1i$po!8fhQBe4`5W^Sf zLI~Yzp~bKMtT8H+7SPVkBxZl+3FNWvkk|b=7#|;?*>?laPRE5mDI6e9ff@xH*&`!p zcqKus7iou4-N+B$F$7oo0GizXNDuOAPga=l1D~wi*%`*IZ2MAYz-j!Jnsm*?-K0bF1P`DrjXeiiAjihiimT zha|wCYE=P|!_!RjQP@ZBxF%48jD!4@9wte6$Cm`l#K?X;zP8p{jTmE`4?$ro2W3Qa zD-{ds0{JYLwzI=TqdvXUr!=G8T4!FPeO74z>?) zW{6cjvt7&S;%T;6-S_MK@*FacOUk!LnN4gL{Ur1G<>;V>`K8pgHz@yO7lBv`V`XVU zg*m}k&!!=okrfld7r6LyITYNB#Q<5(XbF$|EO=yx{k2j|2@q@xNx?EUsY@5$}3sZrstV<0dq0IS8d9 zs4UpAt~&ZpDjjP0O+JmvL9jOR72sg?ugQyz?ZKg1jG1l|S zE@gSm2uIX7m3izzQJK$3Lp?COj0@KD#F%xu;?U%y^8D5+<th!0 zw)W|90Kex|KEVp1$02JdP8J}(Rm)B!ORy&e5L-Ri(Z&?>{DIYCxAh?$;bHw`JRYdpTESV~9 z)%`X5QF}{Tz|7xD46qy2dN#f+%)=x>isgnW*s-cVsLe1y6&Af^ozl#*oz5&2fApjR z$pHO-Yn~D-2JT4lGnz$$-=Kw>nPE8M3{U6R)qGXl%L3az=*}sODHJHhcoG*btDu9! zHTBTMnql4EiVY<6I+#y%oj2%gR}s406C99GIkR(xP~EhNjVKx4}qn1lbxDHJd`xq3+}r z$trIPu`(RG^qX4kXl!X_z3Z8qsiIb(Rp0trnz_aMeQcx$tv z?aYlW0U~?L;NqE#LqUrhDu)hX$@ZCw!X$?T(xs@9kT2Z=0zVyKR$#!AC#(s`sjdir zYccPGo?841VkxG{J|YzE4lPdLMbWC!!VSuat|q)zV&M=0KGosNkH#9iEsSyX-K#?J zvIT5ZjZW^h3>N3dw3M!yFI|l2<+!XyGp&R4<{_@4%=9GIWBnOFtwl{Wmb8=D^ zG=n3_%MJSWgV%0ryu!2^b0?G|e~WN`{eYvFaE`LCT{N2ou1QOAIzIFzb}JwHwHW{5 zf*mQPo0ZI*=~%R^faZSITi=#PEP|mk#m2D~chwe;2VSzVR~%x+x6KaLA&;i)aIR0@ zURyxfD)p*6ly3!JK)}`Nn6rWUA z^N8rTXhn(P1Q7|vQ;huC>(~Qr_5mKnWZLnpF&GCEh|F;k+J5SmpW*t#Uz{bgQntWjXz`JOUDTvBRW3b4iSnXh_5PZewbpQ?Q-KxyE5ZcZ zu>{Qw%j8V-ZSyF*Bqwg}^e|C>+os$oS;@0^%3V{V7yF>(36&RtQcvONGrH-3gE8(s zl9Dojy>$j%4&mDcKuyUvHglc|_sy+!Ny-P#JqtWwo1+}5r5zng1bvw`l~ArwD0dd7 zwB652Tp$HQaf1%v^c;vBY9t^2Jxpv*2G&HgF8Js0wMX^j#@aX7N^%5$0#C0=9&Woj zHX>ho_5rU$v|pU%;G@JyN|fqd_9XIFKWwwe5F^c{B*MHtizn+`8&Oe@!n5_a^W-^} z;_WLnJ1J^1>{+bXK=#%v8N7u0O-zD~fKi!cY!55yHW-YEXLFE4JlepZoo^9a z&UG80=&^eAe2yOKS$iot#`>v#A#bafcJvjl8gV&qu`e6rI$INw=P}R77>_ESTocEa zw2An-LHNywIn(pEISZn2k`prmfr93_QFT|8F7ykESOM(KTagrhl4Wt$j*FmhRZ9`2f~`Ti1x*Nuv)OACca+aiaLLH}qkT)-vNGQZU&Fdk=frmIEU;5{L5a zNqwxBijWnt_gA>bl2UAO%EOZK+vr;8j^^50EgF!=a)178@fu?6IQ zLH_Q2wJ1dHE9+8kZl*J{nW%(&WhuMf?BhhNp91?5@fW~1aGPlA1+d^u&rHtK&}Zj}%evFDrwv0iNr^Dtxct z_ZaC44Fxh*EOr@~Mh08$2X$r4ifk6n^>s=+kPBj+iqwp!xN0Mj+A0zn17d^Lk&Q?pC z>8{6rpLY1WZDl1%mwH?;lEXHfi`JXbU9LFR@djIdj65h`3Z0k8#ecpG#-cn8Vh2KP zTYt_^8t#H(Iz+UD+ZDsS*Z;jBbtr&*_T@xEQIHCIBlv}V+n&vYdS{wHZIC>uhqdL4 zwJH2aCpbmKSKb$W%j<#c?(f~FW%lqGS->fOo-aeiI52n8;PSIcha`CSLO!V4qWDPc zXN2S;`teK`cSr*fh7xJT9iF>_tDjtXly7vQK1k_^lbyX)OG0uX9BK& zxHTuP%AO}!Nz0Hvd4oi5Ya}HTkL&tr+h;llm_G9RJGtea@jRrWBr`DktwsK$H01!( zNR}ly{B=z@y09kX%RDAtd&u-B15qKI&(dT9ghOTKwTJ_3#~O35E0fQn^>xw7+0RR0 zR06$*GOo3#NxGD#r}|m+nBLHNp1+2FX_jkTOo|6*r!xlIR%Yx3B?zo2Km<@QiCW{N z%VMb!FRD+`!Zm?P4ZS$uW2L@C(Bm0=u4Iu_HErYBO=>(7Ge>clWhBW}3f1!ybm~Wn zNOgi`tH8(m+Bq@d==d=)hFq>;Gl@;egtR!zx*BcA{^xKhl~x%l;S)^+sB0d7as*0y z()3kj?->r5?8{zixKa=RaI)E)ZFV}k6b_qd+7p~e@x}Jbs(tgQJEW*56#SkTsgaAU zcey$*;-ofg>>b>4)Rz3!n8#J!&EgCyAfa6KpRu zG-zp8Yv$siYCpLOmlH#G#0XV?R5>4Ge=5!i9CM9_twE9>NhLiHwhQ!-yq=`u9x1V$ z?G<|@U z;5{e0vU9*gq?VPCr4-DadDDCLxFmHIm>HmMLaHM)Pp3h9H@x-pX6IUelos(2CIk`O zW=-SK1?&dZx(+?AWy&A5QOUd@>C_>9gvJpeUJfv3=SmX%%*=$z2f2oH#eiU_Hk0z? zwj#hivDg*)HTTywvti^LLduAvxPdd#LmQtLI#>B*n3Si48wzVrtFuRT4%~I(2%pe* zqaqagdRkKCwhI``vhneM?1m}ZvtJF1yRsX?5qb?8cd`BL3Ud$0I*wr9BsJFqN?&RY zckF1r3&a&>>VB`@T9o7Bpj$1Qr;m~3RHTJSQHIgT*GRr>=`Y6I6jY$d-1sl@I5ftJ zfGv7Wtjexg}Ux1IJ#Zm`T z?OMmw6o`=ady{N}4TTvE5pU_uQg1y-*dhdhj*lu5iB~BN1-6+E*5HLta&93Hds?>IHbqSSryj93^yE9C+DH>rFX}TAcSC9yHzKfUs zbgn^`_DtD-P|91mAXMH7*S~eVvQKeoF{av8c?ij{oBI zn-!V=V$gsi>&T2i%wF|!eXqRE#MAI0#CfC6{}Xi)VmDZdLL((>H0)2Z>stp_g(DAU zOOZbHJ{QGMZfE;|X-MzHz4jc)9h^K7l#LC8XDx#BfLN`yOM>#=X_m{|Xo*v=)a{Ci zYRM6QlP!4z!YXP%hloc7}EWNT+yct-; z0~K1rdKB$q?L~1E<2wenbgP(Vp)RBmm}C**O}HS>-(Uv)$*qg*2s-?ub>tI2&CB)2>n8!DFIS%7!<*J3PiTO(&S8_wb_gY?jo-^SoCZpN zVNRM5e4FfxXK3Bbi68XS#x&AtUywgVVydE+b~Oy6@3r)huuzLzg-zxsDYdCaFi?#J z?y~;s#F%t->YHx{F*We_IEfg5k$tMoaVC!hA}BSHPJ3Rt5YSp{pD#51@IAQ+ow~s$ z5j7kRA`rfNLzf3vBq{?VvwzLnWWB3@A``EhKd(b9-@}zgU zB{2V~%5(|9#7wRdB2lVgIS#p83Sr8%oW0qWH~!* z6sx0@`P)a&_oFL&iwM?0po%;(!4?+{U+sOhhpx}= zqV|W=tB@ULS8vQ<-3OrDrZVTbz-avSaNu5GLcY0*XVW$luwW@-A^YOMe@{m7?Ig8s z)PeJjqQ1Tx2vl7Ke+xoC)G#G#kw)4buin03OX54zcs8i2z7myn(cJ`iNMX(A53Sba2PVk-FIT@z?{v25j(LFOoHh~nEMu!n(_w^`K@pGkxH zokM_h*Cma4P)+Cv+tFC%_SZKvXG|N5-G{LrpN=2nRqO7#mX`&%!g`1Iq{%z`!4p~j z&X9A6w7Ib^ zi)&Fs-Bp6kNc-^UG0{i|X7sf0B8g+Eo$^~tkI5(3VW=TGpgZh=iF<^%_UcHd3tVFx ze@#Z2n#UMyo$|%?=ZRNsv1SqrH)T?Vk~-7_Wf?fGThH ziDO$@@r&wn1Gs~Uwi~5GYsvNDVX1OwM-9RzihU`;XEwKdmF*@>h3|FS*!A|DC|@^Z zy`m*WMGYym(o{7S&xr=B(=H5D>1PbvVbVEiHn@L~K4W~)sXP&Pciqz~&fQ&?Gr@8j zFg)=Xs13d5SBd6-wc67yzib*Ky+D7WQKF}&&tEd^nW4Ds8K7B%DiTyz@>kl;`jO1| zNx8m~K1-c2EgA#1T41ls^> z_~2vd7A4NfO+h~R^|natJG^|LRaOIG53vKCSU<+yO9yrkw?nMoP6?hqSArXx#y5$C z`@(K4@+`~PhO6vU4bgSTNdeDsYIkKMLAa5xc|Sl8Ewp^fXsH@pXO~|xAxGt9$cQa$ zgH8QqLq|D(gvc$eaI|Phmh*yblTEk=RMEeGqo%7q$hiM@Ulkg(VRGu^NOj3I z9H;M=oNaT$6;FZaeMnl}#x`;&FPunCcAsXj@?d5_f6-U*m6+}c`}0vS{NbwsrAP8| z#V}tPts1?4E7XRh@FkfJ!~U}V{USFH7;ZvA z9!VH~uoF{YP-nG)WFZKa?$RPfyc1pX%e>BiqjeoKM$Pa~Bs+T$t582QxOgS>deUQV zV#|vO?5>e*ctU#(!a@D51BV$DZ$MwzZy}=1s7_r*VKG1Yav>FAYWB%Og~oD=p?Owc z)%mPLQWrXmnOwZ6>O|W;E!mTs!+VFzd(_ zlwO$gRiNL~5TWfmcTS}l%sibur4NjM5HXlRJ9ch7jo6BHccwC7j$3|Sm#>by3%W!(w@M?bJ+IF$u_-?yKwwO!+G$@~{ zhx^v?A?Y-ITf{1Y3r^K60Y=yXoGeayTI32|QR9fv?wDR(T|{#hj-AN+o{V~bzTXV< z%P|Rwegb!&P9C%slV&Gc>T;R6Od@fQ_U=a%&nIt7xwz4Q^&eK~JOeKIeAY7wV!~hi z)Tr3N=Mg)(ko@ZLh{Sit&;m%&{p7DP_lzmo_pR#q*w+B*`B;x4fBd*q%Ib>nL4_ z_Xt3I1EaN#+=WOEAE?QU9RWL#NN5JA$*(!5n!DkBxz<3<=~-trd)?808>ObH#^Pf* zDU}Q=@&zf^XR?2_18Tl%BnJxcFa03dMCe?!vB}8M!07UN=EspipM@s9^gr`ib)ju! zNbC}2W*1biKFq#(au#%X*cafU1?A)15w|(E+}85d^&f(t?eZhyLOg1=pbQniSQZco zX_`bKOt-FJV&kDh18LlUe!?*Xxd=UP(s_c?aE#0p`!p1=lpsms75g~lbcGOcldK0Q z(7z1v(K$j>5aN4H4ah0NpClSX$Rn}j4xYJ6lml6O1bW?NLd!5`dN}idE1&kO%8}*S zl0-%?$>YwBE|>)@)Q=J3k1B{Zx59T+Y%?~o+mf0J`Y%F)(&OBJHi@l%@=5XhD86I4 z4k^1)xrYjG2hSCQ2{K>y^ZCcDO}>GU}y7!syI0MyAwNvt7%^zHs*A2bsh@BjS1z zGzI%pWhX|kvAv92I7@}3YPRO=H}jv5t)otW&soqf3N74!d03Oh%d3^kK0J8!Sc4B; zTB51>zDgnn!BQu8h!$(}=3*TUE2Ah|Hoe#)Q0jGV2k%v#!~LYxfErazTj)#p&Dint zA#nXEc?$I)UrP>k-Aj%Tt1y13+#=e%Ku;ySK*;#aGBC=9@fP*f?Vh;jDJ($Mq}b=6 z0Ygep&|WToHvhL7YF`Dx5`2hrfHW;BD)NVhHZ?-V8ze~qGcC@uq zBkQGP=w?)9TH6ut2X&@_Ai~gI@@t^Ocjab7-PSQAL4HgfIO&bpM?T+S02{Apt1m{7 zsRuT6Q6oE>l4&spY}JwP4&Rm}uMjvXIu{$&?gvr3rTy1(SK-|Cu-pcXVxMMo(GTjOhC;q=JupQA|}E5?(?{Vnw`CODTr z)Mb<{_=iH9sfPci?Ybos{(Mcqrc-7I6dA#PLR|Cxpvs91UXVm>ANuu!*qvHwXOx%G z;aKEwpHoHbn^|`+bxTIm0LE;x!tBgZDn3EDd}Rq0ktVd`=$IkaG+CJx%_3msmS1c#A6&vE=arye%pY5 zsD`ZV^ei}RKDRb3(<_KvOWKlVgHe{u;@B>hFB!}8%&a#bf4SO<52to10WDEcUy&oVA;XBs#Oc&#a=?J z^Ir)d+-9{As15s@k(5B1@qkfUKzp=*yBv$~Kg-ey@H}=0r+%~tp<3HsaI?n#!~+x+ z#b`#wkw?$+3uDsmoZ}lej}6c4f_F}&Qs*2NLi~RL1~d80k+fN#u{=YJmr+rf3ktkz zTq-LFXabkGsH|p6<27I>t3g`dX3gt}^R+9j;(i*%lv8Tnbo8OuO7plAfbZph60g4o zah>5iq;Vx7mORDgsJPFk*r>9LDXK!yF>j}n)7AfDU0aOEb+r(Ov&)pcE+V*+G*d#L9re$4=Pf2YHLCFF=}v#tZed)@MVJ4Mu8Pf6XSR4;YhKo03(i6t3{ z0olNW2UL)foPcJHvj6(Xb*NBJZFORuc5;cFg1Sa<9@z@gnM`_H*>EJ)foZG4SLnl* zL392im@I!Q=ArDqJsU;yLM9I5mU})KpDJdx*lU{qGkZaIOk%v7o^r{5TuQz(G1*0_ zZ4YvsqlmItiY``AohD91aDJ4VCE)&0f5Gq3SD3l9)Bf!j(fv{Vou~&?6SVNRid)Vq zLNQ=iFO&#MJ%KwJurig?aUZg63CKGLb7=JqrF1e8?Yksx_>mK8Lu;(XM;4M!Ie*uV zoqLxLyV+ifMHW6}7K9^z^?VsQUYV0?8K(FF2ItG~z;iFfGS}kkit#zap@`AY zPy&!ToT^*pLc(+r9biw1qsgj^imLSdNI8I`|M)$DL zmF2UnaPh$$>zz>YG0&?mSau|{L#2R@;Hmc?t?T)k>z^UFO| zLLBqSmYF~Cb^DKONlaP{rXrMtjdWT4&?ZN` zTf0yodW%(ZwBd(;IcGx5(W{f6Wh-ed$xp($5Wka4^EF6!;YzduSJiHFJagzNl!S^rHasMrD+_Pn1Mc8O3A$dhrgonC8@3Wo{yUg2x|7CTxkJ1 z30_?W7F8RwFHkm^`@IcEWy;a`A%NizC3%=t(a8Una*&IGTLtX+zzi2r@xr}}dq>^* zV;ZB!Q_-h??FD3X>kT%)q_?=SQ5UQqBeL6>g?MT6ZbBPOE^#Im+YY2u@lnkVtl>kc zR%y;pw|tbz)JHr2u(o5+I|dmG;x6VB%@`UHFzJi2WRZl!7VuTx2#n1&a~%HyzV;0C}0L_i7uq z2_ch_m5-PjiZ6Lj8h)7s9}FI>oGoX z-p{we%m2tY(2VFcc3L*-gwaSlBCWC^=y3-8LoH1iSxeJ%M!ojQw|v4^C)jIL(+_Na zMqLm=Jq5FI*llmQEJMbjLc}-kf?!$Mi0uE#O7&$Ot`tSCSvV59{D{2HSh*s{5UO-{ zOcRnmwF0ANIq+d@6KdQZ#Gcj>L;!SvIOSO0C4J%5Pu60_z-`;5vSu&zz_mTu&%gWB zlK#w1X1_oST{2GM0TzM$<$6-2Xf+mp9JSNZqLpok@W3lwDtG=JL(9*uJ2jIPh+OQNeV&-|r!g$c!&zDD{Hgh_jPsd|0*HF$4twGg0eH_W_Rv?Y z*`35mNEeS$k_y0^M0hX;Rn5@M2h#`Lzf$6Rb$EK{9;u5o*xKv*3fXsu3Bw}YnBSy# zZc~H3MuXhE&0xAgAe;Ap%(biB1?hOdu0am13ubyJksE$@7oi-&QNEMf+{OPf*Bz<; zf;7^QkH}T7k z59bqsC`lL%Bc>|#m5~@NcmafF+a);gohC|uOB^MhOArvOHC)+$(cKJh8h8qv5OCMa zuA91Y=q~w@O*-vu8dW|(5KZkhaV3s^!jOOmgL}uDs-uAj}aq%oQQBx zFH>73Wb`_e?zZt;Jz`z{Oz{xuJxCauudPyv`L*U*=#ToB8}YA$1v|YgDSaihzB7vD zT88<(+a*ZGH|@zuGVJr7DjGb#64S_%59I%+=~T!l>9+uXg{E{nWj-@vF)r2Tm_QOa zG2Qqa1WjangZ|&a6BX$jY$Wa`JX4c$Mn#g)@I~u{iqR-M|F^PMDOrPQL|d}s6>6OZ z4MS7%b5?FX)L!1sijqU)rfGWW$W>jra3|yJZUF_jq(nM5JdNU0BQORRi<)c3p4X$+ z>rCgahVa^dit5CKCYUS?+j-j}G%#-HssOvvg2r|)2mZ=Yk6DF?X+bxkU6Jnl?f=D| z+619T`%xl#TCm0@C4SesWrL=|>t82U zu!B!QJucv3yZmMt1PPg0IQhL=Y@mlbEd+u>rSM{Z_M4MYNa!3@d`=s8^+X)rmDZrG z-}J-m*USh#a3vxqgJW_3gMf7u2-bQ2Y_DzHQ!}! z0YV3Ve{3kr-Zi1@zAea2pi3h+x#VFw2Dl>8^%)$ZmxKs&mL1v;JhaRjq4el~9~e() z8T8U*7Q^|v^qba~voixwR?WM)^xFf=i+5siGBSAtIbW3Pm7;gamO!2K_p7aR#d8GP&bO;XS-5qM09zSG%tYLVSYxk57DYd+`4)P5e5h3Z`4?k4N z-W)HY6hV5J=T-;=ZO}1Mg{>85KWJpbMlRLCh(k*2MBk7UmQ8>YIDS8=7HB)h1wo5{ zUm~SL6!i%P*r zIv6r9;qhN5Q2Qh`s3E(G^57=cP6RT4;Y&GY6i%FWIo;O$^u1@2#@P))hX53BGTazl zHS9S~Ndz;I$7to->E|V}Ufz4aaRFf&3kPD&u&l2IqTz{!q(l{@^* zmJ8njFZSGQRfjp<>%0G9aJtTP!T}2*cLORco_4%|+flPo*f{LdP0#5C4;j2dK+VLX z2au_cF4*=+{vw6r8IGOM26ge)56`i-(rThZcXkizZ|;=&x!wh|QX{5NOr+F^Ci>=e zVk7eZTUKu%__YZlBz=LVm^bZzlmyqp1DFSkQoV8^ zurfZShRPdIxyFgCfjT%i`|!OGpy2)FiHFw~-1~2@zN#p&qJIf*naD=Yh@b`Kk5^{; zPc>K2JPtg`S!oYB%hdhM__2&LlBRqxK8uD){2BnfN%9s9O#N|zYmCT$MB?q&)|GB{ zYRh%muf^Q8i~-PLWY2Z?4{6WRhWpakFg!V|8i<|l`_Zp{wHsSlBW0+!3Z*nv$oAvX zK1Yvy($^WY^*N5TsJOsxYv0(-J%J14Rn25BpV8waqsMJtHx(Hh;=MZO)<>}a$u9Lh zrgT$sDFZZ?o|7Q2j&m@7qMZJr3Qi`a7@EMh!|3&QfnO#Lkn+M$nwk+YqO366>vJ`P zAU^xQnSTj+sdi8P;s>nDnaXPkxlnIC(v@g0o(8TK z9!8}aI!plvY?UO5bTI3EtM|*Q3j&@FkkIRWVsn!(XMgAs^DC%-4kKD#GTM8m#XzQ+ z{9m7w4XXBpjyiI_d_>56U3r>av~Kpn1i!oJIe~W6ddj4^7Bu39jR-2t8ayfB%o z%TW(;dH`>h=o!#|TbJ_&bd?+@1}-uNRhUX@GBsq9ExrA$HOo_q;>O{<5$#CG{(Bt9 zTP)y)aXvX@%kElM82-`0td?qs->hL^-!F_zhj)cZGV_KS)BRqBSrh@_R`lQ!qoE}@ zB(l{#V_EGm_ub`6GA0^QvDhVH)k2M1HiOB(Ic|cowaNg0q)DvIJT2DRMe8Gl4muFR zt_cb3NoQvOm5&$Dor{e(bZ%O-U{W;-nkwH*TDak`+%X^5eNrI~vIjit2H}Kg6OTg< zgm9wQ6MmX$sg7qLal)Zk*Lkv7Gd2qIt+E;ubMJMb$)5SVtoQD8d$eBv- zGW7H>Yh?s~#?AB|@K%YI95KC^c%prq{vWZWbT=iii#$_1rO}UV6CBAP(`L*8zTJ}x zAb$u=1*B9{v)F!Hqk~Jk#%v@)`4_k6y43DAFK>Y4YKn+$W(w`a{6|M~LR9Q>?CQ&x zZ+2qnaff*j0^)^x$kSEH&0kMP&$36)=&Ua<^lh?#xl%{Hf?@NY=fT6ntak_oAFK}{ z-Wbdy(wbH^C$U`rWE+XFcetZbgJKDz@nbe|prd}bx=S5i7w2y(8hQw5WH#MJt0L6I z5V0AzYzn@Odupz~XQ|B2$-~yxnC$Q@E80~cZGagpCx>Nh+IU{xXJOaZBHM!gim*pk zX?$yc9Eroav^g)RPZCswe6=I$hLH>D-Z<6(bk|lNf2e(ju)!z`$#HZqfQygh05ka6 zRWu9pOv+8G2Fw0en@4<^4et~c<5iquRXB?Ze=5KNW5N|dnQtOp!>AmMpz!@q9C}-* zM{pTYV+$~2ru5Wy8-d9@i<(`Qu0vNb| zhWbyNdej$H>Ak0`*aH6J$EhYcb-9>JS3<2<#+fM=1gCUoe#+YNl~+!_)&_;~4z3>5 z7Q{4STdCnc2|7sh4K0I`%h(vpE}@ykJI*F&mKS%HGAo1ruRwlDA}0aHgiV z!KhsTSdw8_&_@ioLPKpkZMN+pE}Q@Dr_+^;V$GfG`FWRIhYoFsrRU%#o2x12JgFL) z(=f!W9O_X{pq<+}uf^wE0D^d`v*4br6%j!X4Dp8~r4owAE(;JAxcqv-@PxsC{fVFB z$dit$kk`3xXg>RML+Vw{GJ}+$8LYIj^*7sO5vZ2Ld#PS=A(jhaK``!yayZr1Spsb7!1?7VTz`A z+4hj?7N39Q9}gEBzQ#M4QvJeARH>pKMM8>~xy#6*>fmshv1M%0jp^!DFjm0Jg6!xU zS!Cu|l;MUj+NG=A%^ECFA~5{fAN7Jq?!jh^j(LLKn|7Et-2Zf7T&BZ+q*)ydu;*_} z!%16ecveiCxAtbwt{na@ym){UPi@;M(dE16%*XcD2{e`44sBr8D-SPi$4IBZ2Jz3B z23O4GP-=)!CxEnHH-D9;366Td2#vatfHH6ZH@1oykr$xiXEtof-^s`m1uc39hIyPH zE25NVoQP3hl@j=hOIO@~IjLkSzkjp;E+u$K?T;dq`1fv6yyF@vTr{J^)u5KbS2<-&69(nS2w2RAE3noB*kZ z^{?|7@Lk@&7#iF)9hH633RG z`sY3gTLvpUWG=R52TLRB4qi`OW+atHX*})Q^!;wrMZoNTS7^Kg_I_L+G+YG><-$Po zzGzc^f<2~uU!U6_xDb(Qdg7WGPdOacUwM2z0vYW|U*igh6r6;>GdH;t1GoDJ{diRv z)@jFFxkhj7mVgeU1!y}vxamVZDM5SG259Nkbf?aQURGo9#1hb)2Mj9`hlm}iwsx+3AM?S|92TkK_ zs227oEVjgN9Ws1RK)JK>o`O^MQo3UnE0P*S$~~cfnSEOnYMEwjUcma+te;buvD;Bx zLsaNtCZU%22m!m}d8oMy6y-F5Fe`0k-9&{|A1*f$f29h6R9 zC&D~+p@E+?JkioUT#gsd8$+am#82feSFcFWLORi0j!6&kAjaFSb>pgAjRvJBx`kiY ziCRH_U%+b)!D%RSNyRNWcb%&9tC_G^CLv^xNX$V#-q2_7o9^lnGq)BU5NC_EbPjxsVW;^9YK#L#!GBC@A%ty!~k#=wx zkdOi}8XnfH{8km-f0e)dSA6T^Dnd%16&?qFD@S-FGY?Qwv_3+p*}A+OJ=%LzzG+Nj z?{0jTH4BM8_9}JE^gHKsVb0nE$MkofJ2hrI@WTNbcrwh2m7IJw?j3q#<&XjJ zQq`q^Nk^-I4SVz!CO8 z4hD+{EI$!5(xa?!lKMs*dY+y3W6%#g>2$DiI%$G3luKLjnB*AdA=A4?<%e5^CrUIg4U1Ut!B0Svctnl zWe?#rX^FnqCrTcNbf0S*1-8w9P)EO8Z)(-YeV8O_86J25W9=}^6cGvQNGLL9*(JL4 zP2MI|-c)ZKT6cFD3+>3oyG$n;WX0u$ibg#h6-KfqMq8C7S*;Z;tVF*3^dIYU6X1p& zEhZbm-rK4;P-Xh&(|IM3iP-DRw|0i5U+J?HPRZJ^S^f`gY5i5e$^fK)RB=45Ky;HC zLe)k&tp|Yb(k3o2s?)$SFBX;N!$Wr?v_pLbHw^}1ZFgef@>j=ta?OkgjRb_?)jK#x zS~m1oK@}u7&YAH=pP8%()QC8QO4~}WCCrDhXr_}XaHM1S3H&^O?| zlQ(N0!yAnR0Rt-IfOxJ3>l1`ixSZv3CjYHnY0Pdi=xVnNEuw(5RV%F1^m-UieND#9~O+}CI{tCy8IGpB;zZF-oNchR*Zy`H)nW*$DD^!OH!+VC> zfy>*4xQ_5atWR_2;m$m{pA+cnc-mH%KTW128&C~qu4>AEGiT+*4fgJEssBd&V&?`@ za8q{(QRARYliREML)>E=^X!Qx68@A(mMG#>s8>8WU1B%WL=>Fx{qQm}E{TiZ77%pf zv>8ZOX4|fo28ExCh|a$Qe_-^!*A?j@ieYDu`7F*6to{eaLd7s>b%jg{1cTVrFc}Ja zZx&qON6of>B2ji)?9mD3=AS>U^3F+%a>oh!90v0JvBOS^=oTxFw9t|_!Z~VMd)Q+i zvS$!{j%CamDhSEdTyOAS=Y>QVQXHCVXLnw|Uv%j5 zWH+>pLL7Inu+GX(P$q zaiC0kobWQJwnQO_P)2GW=3`<{!fuFliohHkn6+!U3FVNIRVu66RnAors3(1sX;nrm zS-0~%yP5TJF@WvX?{6^RC>jW>Hv(bdY9!l##>w6Tl$T;2SWOO02ts`6W)ac&GWu<@xPI95e)xaKNSV=QeHJif z2JV1h5zqdbkUqG9?lO<-29m0CIyfTJ%O>rR5ZDmdEo`&!x#tZt$)&G`1r`k@lQI2& zQS?t_@D0bfAw34)?7dY~oZXtPjk`;52?Pu74gmrLcXxNUK!C!7I~4Bj8r&_xU4lEo z-DOvj?_29zJ^KH9b&u}e`(Pc^pm@ii>VRiH^M0=Tp6~0{`UnlB9e{Rs`IRpEm{l64 zx`0dr?Oomkv#W6`zO=jQ)yE`CnY47WGuwB#k{rMu^R2ZM6vniGT~2rc=-lSK%)y;a z`fn2zlXMJ)lod^EUV`&iF67V}WT=)x)?m728%4J00Ba9488$d4t;W*wCpmyRtR91; zmn`RoL)d$3xUop=4}j^y_5bl&m6Z_gye8!p_|y~)#FCOz)QcRMxp1BZ4|9^N`m z;x%b#B=48(B)ww?SB4E_-v%y#CAU-t3fTotw7hAW9y;hiM%WwA`j|k*!?;-3l$dcw z3FSk(kI-48bKSOYs#5gCI;q_%hFY2XT zaD67By=R}i+5+H^Vo8jT9hrny2i4FadM-D1(P*qY z%roA%PiJeKI+#ZKEgu*IfC(&a-x?}1pHeLELQoYC-bxsOdY6qvs^DjQ3Z)=W*p1(S z*+D@jFB*T6{yDW~d(|O$$!k@{)6a>14}8NEV<0}=*%V1ML%<64GZyGbl>$_MqlqBg zvAb3Oj@^0qTc7blutP*sJ4@bXXu}w_Q@;w@75`n1^JM;TDF3)NfKRKd6LtL3x@<(| z*VhJQFsrWiYD{kvuGflZ;zd8L3ueuK1&uU7*Zgqi8BXMan0{!FmS8hL`iCZtWmC0? zR&W||csoWpJA8B}4f8e>81X3D52+}rlynv-?F{jr%Wwta3+zz)FkY`!1z9nqjOy>w zfwWOFPjVwA1XVy%KZ&Yh|1@!3N#B`Pc_Y=J^%ApXkX z#N2R7o6t}{^bS91zyA+p@0@Pp(mq3nwMi2VE9aq;{3fKsmdHzvnx85q4EXlR>4 zJ7U9(g+*9lHUKBFb-O^-_1$ObdllliKX? zz+jB_8dA%ADwh(7Z4X5=QVR24pt%`aL`Ggt#WpSy@y3mZtO}utj2fLl=4$KU>)l9~ z1chiwQ=^F*(6u0nE+8AOf3Ur=u0Z~w#l!<~5+ zFzKn=&?r(fi}5xtBSuXmdONRK?uB8$C`D%c_`G-w7v}{DSW0n;0*fLG*4rwrSdJ=b zJ|uvPXRgQNm#1htsT=(h@9CyTC8mcPI?^Zl2+Z<8o^p5LxYtE@whSZ?<@Os-?Z<{% z?c{sCmbtPz{Bms4bSH(-4$@4~y9FyJOO_r#2;`(3lZo|sG~x`rwP@*@jwXv@gOI&G zJ|rc`6GoG`0$+h$1;2OUD_j;RI8R`l7UcuHQ})5N`x=1W7T{M58GCr7Y!k!Gk2MHu zlcTeROl@2UnISh6(ZNnV^1_0@I)hb1jFC>cdce<4Gk3n2zo2SI)fev>1VJ;DR3+0RE5?XVc9ncI^2W+aoR@Ef=**3pXW+&MuzBC> z!6!GoMDD_AcC|ZkLIxlU+=40KFVMvUdXed!j`{8-(-v-Hz?yKjVs=^fg~J8%>hJ^f z=x$MOVkw`u+fPpFd(Gj8NiSb{kiJAJ>3n82r_**CLn}^1DppC)++=_xMsF3dreT04 zReGe>37}>Ae(Uo6sD?6H*t;e|Tg6aGMBt04^EefOm@~nqXI!V(q_7*My>Vypzxif{!jkl`tySYU zl=Iu_EY>q8YkHnEWCXbMA_vxG0~~n!znkGuTS#aU<}Z9&iFq%=eJb`+$^bor@>c9p z+D2+_*NicE1WYUWKO~j&kD0#qqj={`7V%Zsz%pX6LRGAZ_o+5}jGoo${J) zBYr5*80K!XOw#BGA-*maxz&Ai$uMU`M7qsC4|8=Q)6cRiiM+h-Y-Onb5|A#E;y!5x zeICnxO1t&?i|li@T$$G4{DLn&4U?`)dzp^}_IFC7CTxUvblU6)2-sS3m;8l4uCmeE z+SYG<)PzYd;jDGV%wASDDnprMX!}j-fV|t04%?}@JqX}8V0|4gLs}dltK=PVvRYC3UgtLrmwA~4hU4f7;zMn%D0swlKTRztvLDIB2M}V zsJlzd7Gz=JYE$M23D3M_+Oft}d`q1$4FD?~raHZmH9B7`S@A}urY?~IgCu_6IDvhI z)1!nznP#roouOABT5-6-2aFo3cDhQ`PCYsCf%257r_qnqkvEI^>hQ8N*A+k7V5s?{ zgWsNLN=!F&6h8$)n^ppvek7c4hW5;t)8<`jLT7HtC3}+W7x$XAQT&L_vUt`ImAiIi z@nXpg>CjSE>E0Got~(D*giFeYH-eYh_=i4B zk@jaeVG*CUZG%itkyZD{K5P4@e7U`fM;%`rCXeR8{qc;8HmKvr%H4J?Ho`N4PR-`p7v4-WFEz`@M zF>Vx}5;Ez!jh|{A;70(QG;XHT!jyN78a1@<-Sa0`C|tp*<}-D~%I9U7fSXqH0hfhQ zB)7n19|18nMzjTUH=|gAfCg@>Nb!WF38eWoT>vKz`EDIU&m~Gp^-*|IWWNNPW}-f? z^=PLe=}6v@dVgYVG+yU54f>}thuvpon^kvrAIc#dg`Mj=0J-b?w|(O)v)#4gx@dy> z`?!94Ym9JIlF;!~p0HeD#j?=TFaDB^0|^csCf2_2`>mZOh;#>yC|@E-MNFv95cCYs z2*AJdKc|!Pjd`}liKG3=U4>y@9YM6~o)n-U<*Pv6_fcX=8V|;gXyrIR0sF`8yJ#iC zuxnKSW*9XeZ#BnWXr`E8+JU2ig~VQw0|no%*<^&wkR(l6 z@53d6zD;v-)}3|0TwJ^fQ&v`NM-*BtiBk?%mo#mbV<(Q$(;u&l3HuTkQ2p}82~f7- zW#xMu*XVLfbn;m?%U3wk7^e_(P;e$}@nUG?N zr?rV*?7`4D{Sr)k`B5MV+A!7g*e&v`T>6aDugIEcK4wT@SPmP8Yz(@plur=A^v=v|c+#EDbDoU8(gL89h!C zKar42`GFmVK(WT!L&b3Ezm-LLMhcZR+Cj{!L*c$rP0V}EACI$-vi35fN5Y|4pYrfp zFBy+;^4k0>Mz<=Hh3L2#5!_%9Az{D0A%&?>8367!f{Vu+`;PqLdPUP9#2htKW~P3gZ?>8iLduGvWwbHh(|V2=2!} z70mZ|86fpayDjyLF{yHN-5lj=rgy z`sPlNB48*FW`)hmePpL^Fl#sceehr=t42-6>v%!W=6p5=_Yy(TN~N`w>3k?*l{vL2 z8#02aL`R0E85-utZ%( zxGiw8bu05;IA=HsXi50XFtGjw-OQ?-1ihMM=>enbDV>)%;|VbJV2LUp3`r+-?$yQ+ zc^x(Mli3#fBfs z%Rjo`hG@&Ua=SO2V`Cxv-<8@D)Pe5N#BfWb>9*tHo0?ig(#Ql62(HWxpS^auYvalW zK9RGKuHkQeyag|7Si(9pKuqsWE8oJo*ACI|>%k{ZnRV-2#sA);3Gi4%Iku6MwMrE7 zA@Ey)QiR#a`68?$sq?`LZmrk8g|sly<92$*k@tvBB3S}8RH>_G3Wgk$;5=c$J3~@k zNwnKsT%R$A=CAkB!DS!fGC2EUG}vgN#W%K$Qw}+_1~hRn>~`pRKH_`cd!*H|-atD- zUd8qA#p5Px$lqXwS^;J}Hxe?;J|P!0q5+f~|oA}e68S(MuVt{H6>Lg@~HDOXka8>&?%sCu2tFy-Ok0G@Euhr+p zZ`0>6$nl@SNrY`gGtUg*VEWSCvg~2_{B=0 zyWF+${_1qpw5pjK|0d#Xw&QS~R zi6nc+4CNmTE?a(p7%aX?^n;M=`dTNIq=MToLLG~aVy@`^uEmz4c01kQz!z2*h4-N~s>j8_^@VOKQXbiNR zgvD-PMT5N%1b*g$d)2@v59>h!eB%dtJ8TC_fC&6D4TsTi=K<@W20U4W!))-Hghen1 zl5c|ErtrXpiUZa5L2o(z;Jg)qVP|mI5bWH*tW`LAwhbn`}4z9YI0qR3aan!S?XCT&H#{p296T^5O_8Z_Zqz{*H&+- zGQ^7V^X7Hb#53sN4fz7xYrx(Xp|og3O60xkLj}?M*zdyn`oc5EsbS%J4cs15(XHOR zdP@#7NB8;yYEx!{?(Il+dFKpC0x0DK*UP2NPkAF_<&}j~T|%EHy9~268!jl?UNtYYxCDaDo#Gxv zdF|9zpX}V2qJ_0`Va*2FGee4P^3Y+f1=~YoUWRkM8rnH-ax;}(A^8TsT5XnJ%`*kfX?(@~UK7l`Z^qg$ zrGNfC8b_lW_o_CY*@5Ml1fS*1Zf3j@R3<2N!hIkYGIo!-Q9Fv2;xwDQL9|=Onxj37r@(N) zc4<&O_Nq<&43A&)j2q@vW(c`}5k0Mdk)Gxm-T~<4t$CKrwZZDqu)%t%b%w`NejC10 zev7nPb}N0=XSN5r?EDIJ8({igvs1(~yhmZrAV7w&XMy$^UK`E^>sg=KhM6Y|T4F6+ z8`g%P2Td>Fut)f@Fy*maz2w`fgpf-w!2Yc+Z4fH=nMmsX1e&E-KNHB(DZuF&5fCEveKn5Eu!SIPs`+d5KKro;9k{qo$^@oiqUfr-p& z^M%D!qrp^Lvwp>u@W_D&dSk^Cn;DrbkYW~&2T(29$IgecgN=(_sH{&{3@_tLfy*8` zo2Hm+9ueQX1*W)<0A8`q{GH@s*vx1Z^msGUSMCnfWytG>FyZ|!>Xe=6>j;#4cn)-l z6U+m&YXQ~JvfP}|qg=9&X--!9Lk?W!h`K;7iUGv6&^9p{Ob3RIAa<+(r44frp+hSu zIRMgJR92V$)0-}Thdbs1P93lC;?Z-G=dZ;tQNB3cE%vV_b@hp0mfo|92^Js1e2kBo z>(@G{HbAPZjb^ShK{uKnGYtoJZq>hLtO)?E3mT&h<0U~h;|=I?DcvMI&u<9*<7o-u z>k6vO1^3e(A=OkhDa_70WrF?9+y_xzV*m}oqioQk7>}!c4sg@}_^mk2W@2PsQT3Xo z)3AY7K_Bm^hS~e3U(3N_ug5Tx-lG~+>~$MXNOS_2;-3AQs-FGrb)W*T-(YvqzbK2Nhsd{oh*(UAI4% z0_V@2KnLn}q-P$Oeg#JX&Iatcf+GXCOkagP@H>rI18^g*?evk)rQB9NO*UK%!p_WP z<>cwv^0|lr3Wv*Qzr)UYX`#T@IUwwiiH=Y?v{cxMPvq)mGcaXaw(QW6dvL;@z{X~- z%9**%U$(qfXP9~XCYLd~$!pOHzk_OY&|d*in$yd_E8ZPCYjlgwcCOMao;~9B6kUCJ zx?Y=pTqG9cVmuKq6vii*ok1$+C2EKuXn0CROw_ELuBlM-Jy?9%k?y6bYzb+(*4BAY z1DY)9!+5BaQ51;o12JoyPQ~lV-P|6K^0S)5#Xunj59i zrRxBraO)$ucJ*A51=*z&9#Dck=fB0{M<-n_iH@a@`$5mL$y(+0sAUgd2vN*8v4%xMQ{*;Wbyg#D#M^{*K%&NVL__S-7G(wX zjbKOS=yBB#H<2pslDoJ}zVrdN$&Z-BB>l4yIxhtk9g-JHW57*^6H<{M`t^$Ci`;ji z?Jo~UUB!0|{NDDuD^aq6Y#e2!c$#iJwgjBE51cr3^}59-I+YM}4KE|f!AiPrm~KZP zQB#??4#zB2rs#kin5Xk;7g%O|40u&%o^y-z@B7^)dXqP~f6( z+U>%OH&j%Y5Wz~MQ5`JTfhZB){(Yk#yoV5Bn29qmdk+p+wl7@86?JSOx>KufS0N9zF+2w`RF~L#*{-)ab%Zsf}gk8+_ZZoO#d5eEnXPHE0yn zgw;9Co|tdB4+{C?L8a^AIGZWYa3DASY4l!c1Js^x%UA<<(p(B|`?(Lose!+W7Wqm2 zuvU~&)l)1=)icr;BqoB#)Q3XH=7FHL+zcwmOjS?H$XmcKN%FHiWkIFr1}bDuS^*`m zGrW6{Qb`ZI4R`r1O<+3EGP4WOGHKL6H4f^`o@dFoc$r86+jPP|i&YoljO3vT?WLIV zg*MUh9H1yqbViaEIv2Vw(s#zy?Vl^L19zdVG6XM5g%N3~O-Iu3&IwN(AT&;VB(f_Y z`&i*df-~*FMHWWfyiibzmHV0J7O|pkSsv&M36BN5dx69Hr@FAr{=aJUUp4x_Sfd(5 z%N9Rtlp2Da<3AP&m@g31YwgavZM&YF<(|@BAvBVA+x<$Mmu`bgmgQdh%MIK1?@$Z% z8F;2W6~7$ZyJ9i#V^2b0mVB`qWyx`KIyEJ|yL)nW{VdZ#;J2+flKHsxgRecVJ5~Rg z>5J{*J*Uf)XmX}|J7Lr(SZqny(ge%pQ7)XzwpBY+*^v&bQ~&dGZ|9%l7j&+*dCFn2 z(P6QpNx%3?lK#L0yRrSrZuEWHd2?!`)!0lu00@2o(g=nLp;jLW>1dhW$`*I3D`BQU zSTTY00mw(3z^8Hf2A(&K4WZp*R3~_q%vjK#D!8aXcfKL7PSD*4fg5p9CGA7rjV(Qn zxS>v$YZR&02}*dRIocwmIi%fk@6L86ZrW?&v@$qIM&fj0e~L(<+|cetwxWhB?47vu zou7ltV8E>)5%OQZm+*t#Ja>}TYrZE`O1~0(3{e6^{8GW_|Db|_f)MZ&fWOOJ=>JgW z{)Z};^RFs*;Ga>sfd7ol{ijr}9!TZB{0Aym^R5vpWr*wk!I$`$_@~TuYkO$Si0nZJ zO?+(}%Q?9G(_MOatV?#kTPiawJgBAq6E&;!ubTZ=&Hm$P_P<-Ryu3@!ziW0F0Ui^Q z>vz%80$GpYSO90KpQ|gq`2^&&Ia}`~97|{71W|UYuj2N1@6mL0W<)-%JUly}c}zE(ZfHFFUzSvxw|=DWY2s#~s{p z_JapIu-!T^6}H{9K#LPNCP4RF_BlANlsWzBG)4dFJW4j`M13~u@Ai`ZImn7Bp^zUe zETJ03I?Z1u&6ry*m!CDF3>DBmcYjA?FzYne9#DZvL#r_G%RnD6z)N>*g&D==T}yLv z0-=fxoU}zS-pC#co%812VlG{XxkGl#lmI7m&a&(`X_(?uu!ee=9|4Aq-Vn$^2WEK0 z;h&Ly5v`ga4DP!7>6;dniN?&c#HN*kanrRC2{WlZNPI4*TRDGMyAm-LD%tq$5 z@J7=Of5JNsqwsqUGik!1ClP;aMsuC>?%}mCdOVTZa@-zrE!LmFLZX_=x(AmBaW>O% z+3%`w4W|qMVs~BlN_#Zw05K4|6FGrC7z438RuH=*OhKGY-Xy>&W6jo{O$KRawo9Yx zF_bng5WC|!_>R{?)z(oFapG=# z_B_!(_-=9STu3~S?e1#kqGMYkvzl(l=RU>xAay`Fdz07Q=JG@ZeNc3ObMt8@W#O60 zRqR0!iEW;7+5JRg^(TjB1aauU!VJq_G-GcIL^C2%Ll-+GD$GJoS@}dMh7slvzx&%qu*?SvJd?2Nf$ z{o%n>gZ;&W@%yiOFbse7U!$6S^ft+ z7QlbTWcly&SUj~MM@$HxkcEhUn=CCWUfK!+>%pK#ZJTK_8`eEK?+vVrC0mudz?FTjz;`p>1fY$8XkBKX%|mwT`zR0J=C8da2aCDk zd&|duBp_2iSBR#F!xay8{9G&@JJhtDwEvPooIhw!g@t(T3U~RoO|2b-=nquE&KiG}FNjtBB z<9C|#EloWQ1@hd31Wc9W2s=b%B0DY!(dn1{v|QM6kwZDsCbP`_;|n&x6jSiQE6|y~ z3*KnZje0czIO5c?db6uI0*0WO@aG&7z^MYPlCp4m9n{4N2`hbB`%$=dmk8$_({7=6 zIXWXj!zK_kY`%>IcC!B*HrIa*oAA58hfSyq00>6E0}Y!RL9mZVl#~U-5O*#9{HW&C$(~H1&-k6wvXUp z4miGy>-QmozLp8`)=;W{+?uxk^y_SRvA~s`;vxJZQ_v_#yQnwlKhfMm9{>vZm8+hy zJP>9xLH6R<_@}OWClKBX2jRWXJAN)ZxBbuu(jdG?31ZT}@SX^xEC}z(ddmKZ_d-B; zPZostWI=dO_9x!^C0d?9zsgd9=pGe_?os`wdmt^7o)4mXzr_no2NsC#fgVHl3!UWu z#(Rl>@MuL4kIw(eqeFl3Xz`ysy7(uL9q1x93I0Ohu0RWLc&`8KHgfYnxsCj3 z<^O9N`Tw%&|8W~>)BEc-a(uAH7^$~v_In%Q`n5j5|1OqD6Exs4|27GaSub|{p_Fcb z*}s$$7Dy?1IdM1Jwz^fg9I<_BSBer@?#z?~F^&z^btJEn4l;Oh&o(qbp} zM@$7o>iL>C3qUaykb08yKIcREJslwZ3~;43Kj(~$@$1R{j;YK@{!XbJH;5PRtTx;U zdAJMyCBS8~RCTnXT{Z2IpXkzt019v=g92Qw$3SRkP@n&uQ%U@tQ~5(Q{d+l;%==*+ zrPYzlqrc@;!2gm{f&Q=NR2cr6Q{n!ZQ;94dy(f9@{WGWXKThcX^Es6NenS6GZ^SKw^T%h112q*`B|~1rlHkEU44}WoFR* zV`lg~HUD#Fa0&*^4B7lgUV_W+t9QqIpIQ}AH^&9;By?08u53C|D-w+|0ljSx9QYk(P!N0Vjs{Ze`MdaYJvHmvX+M$xxz^ zcn!8zH3pS;R(^GF5*bmfWZL8X5hSbsIx|`R^sGSH5ES#f+=-{`mI)uO?+3zI-xq~L z;a1zD#k$?7jZXtna^x|-L)PKJuBO~OGX*-#A0yCap_-Q~K@u4nTmqcD1av3 zRUI5xZ3MPpMWH^wJub;RGF<3hz}r{g@x-`UVcihbv!c`Z%|4=aS$Pv#=F#dx z(1E`AS@eMro#Egk0j#7oT{CbiU}!nfr>M*<@=o2T&dTbwa0u5P@{@{vJnD2s@39e} z-%FB#?g4}_hci#>A79l!=nFxbt4u89CLf}U@@ATS4e6_}sQ>dTSbTLZ>xA!JEC8Bl zC?qgkA!yaFVA1C6;A*Hqcs0@Pl1{WN2<^Nx79_T7=xGsBFQ`<7R~cnsv@9rAlQ}wF zA4+}7#UfQ-qku1>NfBYqzB5OD1$8-($U)f!(fjVxp-UCvcY{h;_jjgc-~ePw8k=`R zPH@t7=G>%Vm_8w58fjoE>=2u8zBd4b?Bm4_8q~u)vXF<@?fKa%a%%TDN%5w~zZgv9 zJ5|--Bgyliey|L5`p6_0G2aAMn(dIU4dp)$$CHF-9$*DM^aDok34y0;;N@)qSFd4E zAM&fr>Y^%jL*{r<2FhGqAt~h zV+AkxmUk{^M-4g#kyVX0NqQB*;{!6~PM@aj$qgz9WOgMamBog%tHXi{W^7kJoMjK$ zFHsz;sM?`NQ9e$elG*|cnJv~@t=B43OiG%`u4Qdz3%w_UJIn*J;KgOcc}H5Knsm&( z=TFsLU5bPRP8fO%^ST&Ou0!VlqV8mDsF1Scn`o{$*+FRLdAOQO z2363H*YV=!kA#07G(wS%kgFbdQ^P8WIo{j z$bl*+_3vbS124OI>Jy-iDhu93o&c!`rTsoby?aIIO?3=3*$op``Dn4&Ig{uz2Bs1% zg>>RR!Xd;a*Zz+K3ryl^1YQe|NRH0XdXH?iEKD?7YqC!-)IUnMZOvHN9w!txwf1j;nR3CB_zvc?Ac0Qs%)P9+B7YgHcF0_ z`W&yDX{0k=xj)$R{8c~SYw!;RDK_Fe)IudPnb$Pg%XQo8`lU5RA^=Sq-327>jY8vE zT}{lu3UQGX=v?GL97yvlLHyyosn6Te6b0Q?Ve1B;bK=iizfR+Qtz$XQst%MQOeq3? zj;?o%z+q94C*8!L;qiJu;&QlnmCHixT@EGcz}y5~^XV&z0;Om<6mpu$yIkXUSS~Rr zvCa@F;Spk+F{F~fdnEutgv=86VIjTmEjdvJ^%|Ix94d);>D=2COTO_?LI_LNezxlL z0}BoO&{4zUSCMsCU!+E`T8C3yi|a@=7->6Q7~-%Dbp(Fk%b)g?R6-8Rqj$oYJX!R! zXR$uPG{Aec2HT2$e;+SHDNX^jVrw2HCxurfNujSZL; zRSe}gZjPX9-n}1$#El@_Z8e6PmC{W|x}ndRLtp|_4qB4P>s~;IcvRfL9 z_3Fg4R|h7>zTq<1uvFl;+vQ0orVt?T;J_1I1l=d)hA&T=uvq#or_w6v$6IfX#)eKB z;I(c}-~?JI+mRr^&$UoLmYBhrfL(Eb_@Ofzp}q`+eweFQB1Ewv;z z^2B;ChU{+fAO&G9L9tC3%x5>uMS)H88{^EiPw3yTkWBZ(!M;#pH73-2v|U%pc0ewd z(eTczFZ7TS^$JIuD~1Y_ugksIcS`TM5Ru&Jp{R)X5#MM9*l+Gb97N;W2CH)fe^Vd; z>xE|Xnr!}kA^)vk_XR{`kZ3mgL{SQA)R0+#6N>3(&CaN^vZMjc8&jFcq+O;w9$1N- zA3jjw$oBBXL9Tgcwk1DgP7PCq4%TS1y{K7=N(V+BO|k9P(lB#w>12Hr)c$k z?(4zeT{4a=fRL-JwYL1;-1k^t(+AP)y&3Mzi*x#>Ka8)_Tgk;E)Jw2sMM;|EeDkOm zRolAnL2VuWER{jQSpE*F@i;d>3-qAsPdu)QRjTIK46(YJaZQ@v)v<^&EXuL=_Xw}W z=6MWrB+^1eN_r+bDUjR~+3dEMFii@(g!smZm=x0^A^_$*^5{k@ZRgFZ&a5#LZ>pM> zV()M1xAB)|JWtAJ!U|wOg()ApUfb3g^jsFTQxbk|~ zJ)|YESgS4@x;(doGhR`cBaq4hQ9lxAm1&vLEYV> zh!_fm5GPYGjbITD41p9gJGC0_DH3$ZpD0G5zSsunOS9&27l*%!t8DG#31^|>)qt7% z%8^7S9&(4jp2FQ&L23d|lo9~nFeOB~zKNY)Z*DyrXU>FS#8)6iU$Wa)hB~JdQrkh| zc`=g3_i*5(5-(o+<6NS?F)2!r(d+`8zk_i3-B@a2Wk#FV{mEwBTy5%va;X16?KcWE zX)!fGSU1!5=0GiDA0sSf;|7=^>@zYHhjH=MgV3G1gMtjOF#>h4XJYrH%pr0vt0Q&`Hr$OyTm z@AK^YqC2E|eV(HAO@^Y7dH?U5=V;NNQmP&@#y?5SrzZ#|?)t3m!BlC47XSmcD2%uP zvLC!9)knd)SMAKC-k}$~#sz{clYp%N&np>RO-T-Q`FQxAkLmT@STuEOy`R@yTwHkZ zMmR;N!QVYUDH9|k9^&vH(1exP>0eY)7B5;U`&Db1RI z;75GX4Fz~4ysbr#v7**|>V36o?@($9XtLoWKlnH?KTz7=GcLK}m;MOVeqCWipWD~> zv6WDcfwm~efKC8hon$9BOm4ST1VWsVj3D&4%|389wG~OUvi;jMKfO z)e|c{x4qsA@Uq@7%p4L;qAc{cFb?@hO@LunDUGW!HNa2i-&yZn^&*7hS6}pl zmigNL7OvL1)6*SxXytu4#8f4mur}8MV4?WH0P?E}5(HZMeo(&M|IA8$X-EvM+9swx z67O);9A_^#qSCpZ;~{X-O-?S#viyX_CriQVnF!9(hPbSLmDt%$(Y3M-uzmR0=SCG} zWzs`5s0oZ`KO@mJJUL!6h*V_a%75CTHzOi&i;^wMS`*BEp9gWrZd>hELc%>J8BdxibXi;0F0T|1CvL zgrzUbHmL9>bYS;nrHz*tFc?dsYLMz16#uX$2Tfv_rQvO+Bj-Jr*Qzm_y4|W#(gM+~ z>w9~96;_KgP!7B{1RL--CVe(Qr|Idm831F~adlawU26BbyFOhQitp~YJJ{*5u4$wl zP{}fMzBCeTO&d|gQ@npLIWuj+^vqadux9i10Z<@rJ*+HD}qVjyWKowfCeU7ygLgigIy**W1b!l?PMW&Q73H!PJv| z*;``#+XfAHTe@yHAS-O4)i1b;B8Kx*-vCKu#?$S+O2mVXd#lh;ECwj$*|?h+=x%1J zaodP^d`+Baay=xh*Y@fBcpz_`0WUNte06Fp)r9yV;IKJzNkXVY>XL*Ly(98w+1!rf zeQ)7Z*uwTl4`{`3LGLosr^cdJeTIE8n1JRYX--Z`(P~+*B^Bw z-awR{K-MJlrCrz8Exgn@$J!)V6FU`i1+ELwGT&PP2fCW&D=G!NN1=_WB8TUjHbIL{YIZ=wXt*)6OBj|8`Ab6DwAVOp57CqQ`+G&Q#6(ib3Z&gjuhlJC&Z#4PW-OPXclJQA3u>Psr zR3NCbbA`UFWkA4nfW%M@lVFvxMn3uLfqRk$&K-cbWg#6$t`wz#(m5l1d*uu9*Xico z{f;#5eOc9t3mF@B9^C3KY7T45!rW3zaH@?3`ix50Q@(*Iwsvi)o(>YdjgUayrA?_W zzleJK$8GpYvhlfx2PQNB{#EZ&&O(WgFGH(oJDsnOMro$M&|p!820E@Y5PwYn>VNAE zT;T^4RJRUQgnPNPq;*z*jG2W8kPTvP@=QE@z3go@Vs%9_TY^~iDqIo2MkRr~WCWmBu2 z`+~0S+uiL=O5O6vb~W+2i3vO5#Ri^cdY%HnL~5O5x$5Y3McpweRt@fWXtMRt&KH+8 z)k3zT_!2wGDR9T!;{5sW)=7?eYP~2^U0Qg!DA@?(sgi}bnMk=&^z$Em$p_lSiuaeNyd%INnJl+o&Qlv%1&7DuaJ1u&xl zI+)|jG`#5a<&ymQ8tFAIm~9)BSIZD`#heStw#)AqS0;!!CsNb&8m=o<7#Szl>lG?y zpH&VwRWegB8QXk;mTf{!y1GPmemUb3V7hD2FJTzBW7cGu{jKZ`8yp$pg;~H;7 zA0*D2b}!9`Hy+~t+!EA~L?O87S$S{PG4yaHSbV-w1dus-f&;MpHo)S^Eg4w5!H4|Q zqw`Nq^5L*e3z$#4FOu@GgxAq*2U+5oVkxgFUeh!%rsbW&Fw#h{zUq;J0WhWsc;23# z-U5F}A#-7p-bH;LI9W@Gtn4UNo#StIT`l*neq5~7y8;sX8Enp>796d`@yujmdo!Eu z8L|4L2lIPA91WWAwS;dEZf_ZvqlU2`6uOZbB78*qflsy-1M6__h-R@D%gCSs#=PSH zfyyg!m-Y!S-k*9lD;B$G3qVYrIMgTc<-|DL6P0Xe%EZ+XDB4_;aOY$8h+^+)m#s1S z3V6m3WVzCo?JBeR=J|!9kLM#N@A%j&ulAEg_uNvj{7Zy(2fpEOV?=Rx~HT9nNI&Yotv5c>h6A>N+PS5oc6)2M=*UV6nV40aK33-Ug zg{Kt#QKbAh2m^AI2pbUilbARwg#Ca#TCuvF+AEmzDbV4Y}~6jE~Gvo%>x@B!2`~(2pfQ7HyW)2#J$!%3L}e+jmECGWZUugtIP~TFn4|ys*7vHu;cnEx398o z6=EJRs5Qg$+XIZMs;PV>BzC-duo#4uYX>CENHB570?ZKi*AV1j5(ZyhRh8%8(8rLI zNJomgksu2W^YH5HpKTA1V9#SsY3^Mw)g_c5M)2arVpsu&*giJ-_RPP&)y{sHPqw(? zzMqf3kLXj@H%Zh|PjdV}g`H_U)NL2XW!%g{!$j7`*h=Y>nQ3fU!Wc1<$&wq{vu~9p zYk!P=E0VRy5^1?DqoIZ&VaQHGi7Cob7<&lM^r`2$Up}Aji|hQ(=epjV7r*PpImfG! z4<|vD%ZJcK;&x#XIv>toNfx0R#_nv7D$VQ(S<9p_0^Ay!=F8fWv@8tOtv}9-9YWb$ zIrhvis8EuXAfb;Y!vb!Uu%L6x6&_a=r|k^H!d@F588(ZOu`~De#{%i0H5I++f-O_q zAV%MP&s)yJZP)r34;7w#;KMtH6?qG6Q-a7RdcM3Lp@w3RiUn`Jt|w?NfZe1@><1oR z)>jDBt2t@P`wmw0^1YIQhK+?8PX06fQOuy-yfyx`%khuN?PO{$McnAGz|!FktIsY3 zC2fYMo$FI1I=>mWnFX}@f{(TmuZKrJCsfy+*0MxIEuDIu;{0wr)~inZkXq!wNz^w1@tk|%`cebZ|5z$u_KvT!*TBy&U9&3KM$-<#xQTXf z$+z6;?+>JwBnK^FgO$Xa2T>+Q zFTgtfPTm5#w~hcy{@)U)9hdx-t51@HMH5vbSy;p>DJfgvgsw-NsVK3!+6UA|?N+u4 zi*U|p85-)(e7IfS3k@C`Na3!wnAR- zxIKnDFBI2ZmVcEUP3KEdtU6Ti88w?*`Z$G!&8Vp@KrtW>MX|~`3c)JiE%*M>~LNP zEze(ay(c&^+H3x$(WkqNqDTc}wFyYs>bSfPylrd0zGIl?xA=KZ@R? zg~{vzgy$wV7H9rpTz|E=TReLC?7hH|jTh=o*Kedu{X_S^Va?Q~1IfXgKe1a^6OL4m zTX-*;rqkZNk!u2&qtA%F@icG$xvMmL$haIbduw;Fn$e(cd~JlYUVUT5XMHo*&T1RE zZ#ydadJj&i%RhQc@)L)(vhYu%peTvy+#QdN;~)C7%cvQ1b-Bi-1$|9Uird*=OC|Rg z*GhSZd|&SM>g&0>?H}l6H`e~K464}{XoxhRW(!p`^9Xf8;ndWiik2uF4C*ur!%mv| z`310($|y9-6sl*~i=Du0w7%0>f^SHmh3FnDDh0!~LoRfmAa>*?b4^^|o91U-x@ zK@0W&uh{ba>m)F$YQLR?T$Yi$t%YD*-$-i2JNOs*VmGl#fr zLGAPn5!HhiqRzb_ak`Lrg06ky9rh)egk?PzHJ7WfUsIU`iD}D>!t$E6`l0W&h27Ij zsnc}}JPS+?1(WD=?(k@_StdX+zi)o)A|DaEQ=!-o3e}Nx@Z7>bu*q1)01$jP+;Dr@ z4+5)#uSb0U4750+InyE`=#z7GemjjN4!kMk5{Dy~IT+2joXoX&_-@)1lS>s+7P&Ml z$TI9T*k;K9)qY+Fe|*=h88WAL4b{TTVdlx^Y5q(IOSYa9$>S!syXj{i0=dW2#gwk+ zIz<+$f);?hGA!zTQlBu7vvBp?1qVi6Q5--Ta4L{fx>Ix9YQg_7i6`j<8_%?Ix9mKg zALWEj<(tdGQ*l{x`HzE>1Buvq9SdzCha9K>QcUHzY?f)7ISAs2uLT7}`$poD6p8Z0 z==Vp*S|R|>@QYdjXSk{i;}1NR|Ap@#wr6Fv9SHnw;5IPfCP09(v1#KY*sMc(K!T)b zOZGcI;#cBh;^QQMSo`Z_M?5dN`*j6cMaq|R--&i!YFf5M)D+i97a{7Ti!xq(E<`l^ z=5w-ikuRqPNdtXY362~|Sxa3@bvC@#V=$=^G5%ayTe2|;H6t6gn^vjIx&$|v1Pmts z1w6s#?YwN*TwG-|d%cvih~qD0o!uROA?sZ4IC=%_)arck03@ZC)g0#$;)>@MFItaq zh)Er+(ZR#S%h!#k;*9&Te0csT7N3?B7v{n|(~K?Z52g(9x3U|~{gP$If7WkQA1de> zK*R#+54JG68u}?;8Q>S9#4%Cp8eBsS!FolBmm+74Rl!kUwZRVcuEHJytyR6JhMdxh z3Z4xXXG#@48z{~V8Mky-v+usY*4?<0{dCCb=~n27`>ryu`mNT$XRlPeb`ME^W^Ap} z?N&vgaUzb7OswPWBhUImu~#8K#-{D_=s+DOYpLCZUF}TrBam}*)7i9WC~A(qQsH-@ zgKyFxIP&2tcx|+Dm1HewAE^QM%xD~*HJOweBlk7TXO6$wSD()qZ%?xPn6VQv@C4bZ z*fe8NIqkPUYf(78AI^Ak^LY2}^l+pgU1Y_Rl*ArysU+LBzSMX|woSzzSoi!pX=!q8 zzDjT@FhoiEVXReUn!y~IW|vBw+fzu)46>F%h96m8^%7_r)M_}i%;*vTln6gpEn*t^ z?{tbuL+$n7Hi}&INO4cF?CPm~b~j-|B|PNDN<-!`ts=fs{vWo8AW$*5lpl=Z*G5HZ zb3}1)QsCWM=$+>8APW5C|DtZKw;W9xoM+GI3eR$DJ`i4ux`{@8slNZCeyA>EpF@Zq WF_!&O34(+vVbB<;oE*VKANn604(~Mp delta 170251 zcmZUaQ*fXQkVa$Mwrx!8NhX@uw(aDPJ+Y06ZQHhO+nl|-ulv?j{n%Aq{hc~JA4qv{ zK@mp*&c?-=Xh=i@Txn@LZ#HB4t<>ylmqmxik^GGFEjQweQSOMKoO;YZlci;HOMPN$ zBW+7b*5A3=1))&a;>(^qoMI51pt*@tlrI^#V$=a{t+Wq*PO~x444=9@eYVjmjs@5^NtC>xSmY?cs zBnOgGhY7ZKzJ0{HD10o2ua0_d{07_J?l(E;#Th79>!qsep7L*yIG%7fG%A89P)$>$ zweY1KD$ohV%g{`ao{ARt!t$*hIa=RKc5mEAx(VgE{9N7R^H8CsNnA-yvY^{! zg6V?1fIDlz-?Ijs?~M%0Qq!bQO!)9jpW&W?X@UexqLP&Wo>qBu$@pUiVXL#dSELM# zR*6iyF`-W|&5{>M=APkpXEgS83_Tx-3GH`j(&0;^#^3{1^Fiv;Amh7V#6PsTnS8Ee z#uWvhx3`(Jkw9CAIwY#1?v`@t*2EV$So#nKqlBpiH~0*Ubfwjm z`OS4_jx1v8+dWF#I${qQ39JFslOrB2k!T89h2}}pvHe}0LoLh86u4yC>=_8kT?gKZ z(Rj9alQM+UU5@yaASElpS>7KCW};oYBMWZk9*>o&tF?J$>EljAl^0~{@OZ^WC9Sga z=}?-$y^iHRC$nJq|c}zTWMDWd}Py+l3OwY zgLNnv=)cm(4g7u8P6$(pRIDhY(nS1;7g+~@!auE#9^yL^bkC#+v$Q&mtO?;LB{7QL z3}i?urNN2c;ie+KlGmyC2R+Inh>tqhg@9rD^cje*c<|m`A-=Wl)DeN|%rtBP{`5 z_3$w{=EYz0(`&cO*e8!mxkvUbP%^wTsf>?sSWANKG{O{@tJ*Hv{^Q<3L;h-@)Eesg zADTHU6A{T)Ub+rzlXh(Jk+D|;mm(!qrH9R>N1kD~ti3&oc5Qkve$YlNUpJn|_Q%FW zCVfK2VG=xReo-KXyb;o{kH7DHzg^8d8^=I+7aoiK7^d>e(jJI5+f_~o(b*?-1+Gzs zZe2qIBYdGqR1VQLK}FbEiWnANRckyXuX6Bi z4dK$5Jxbe!b^DmBto8uHqvSZw%LOzqO1Hj2U|gMJz-Y|7+5RBj~LZ+H^DM!~;bzN>FrCI#6JVIpwV6_CnWLtQfdU zN>Vf8Tlnym{FkvGGuzRsjhmOu{I|8XJP!OUdHiXnl4h~4*S~AsVP-6%%vQAGgwG8( zrv|KoAe#45$wh&D#wjA58LK}hp!zUiW8O7s^Nml}t@XEO+zDEBdpAfVUG&kp}J7n=tU)|f*ibKT+9uJEPf_K#CmT6qr=)Kbzl@pi-CAwga=SAX2f%qcj?C~<@nqZ@;_H7`- zy!hY^FjlQ!_l#E>Kd!KTU7@9Kgq2Z%jL{-kOY;Mlhm(nc%!M#LX^57FPQCPVOgwO&0Sdq8(=` zbPj-v6WAZu3cShkO(NBwRScvwXj zJx;FvnkmurfweuY?S}T{%Wcxf7oC$O4vkot`cNrqBN>0>T7M+iN3(}xk8dYmwE=cY z)|2De92}V`6DL-hTWJcyqWT$mMwZXlwQ>hb&-^>ZumWQ|g&nghL`+zHr@sg}6@E0+ zFWeAiPg+G%XYOH(6dEKW-fy>V!FPv#)GDUAX(ZVCJ(`-fKH z2D9F`>6IIoVGN zBZ{Rjv*`SkXO9P0oYYq4G*tj~dmWF_$vE!EYMyLT=geH8C}Bsrh;b`ElO>{o(%o49 zwT>VS?+X_{ffq@hVsX75UIj8SbChICcE8vG+sCYvG_=KK=9LbD%Kb7Yz6JaU%oSG^ zVq4Po+335s~=Pg%g^NPFxV~0wiQ{~2vDOr z@$%im!HImnFy%FlBp5#81_QH&eoBw05h1SjlZjrX2U#Z%+R5?VNQ zsgz#pyvf29twNZ86hBP~7;oaz&nsYs{EWJPV?H#GE>Vb1g_!S-N&$WyoR!(QG))tf zhrlnnz^TqNX*cB4n2ZwoXudPhSU7*EgFKPH_}F&BKowMPZDv<+gdTGPd-{JpG-^d< zrIcl~RczTL^_WX!FzK@A7kBsP&B*}zoSc^&GgS?&r`0*BCh|jt zx~*clt{7UqM1*j#O|`bhG@((BaKsPAxVmxW+UwWY=Z z5#?mN2o?XazG{>2eP`+bd`NkvM*iPykgN)m9EC)I^GBhG2(aRz^%*6*PaP%SP}#`5 zdyTAWbLn#yJ~|bPgZ@2=Ykv|Y3}-CV1M~UsSY+TRpXUbpVIGXn$OWLh@C z4dbJ-{5U3)XQ_qanSr%$V#E`~a5z&t6K5AEQ$ySTt?Z4g;Mh4xSV;c2;OB>9mNm6A zcd;Ph0B2`m|GymMtEHW|)%wRTSAWj_xB43mnyW$%|DB0@^ChkMu&TCZY()xV-Hc)7 zuUMvLz8*hNu)NZRkq?Uaf}daz0XN|3o7p!B9sgcQ_fBGo{azn-F5a1@4j7o1w!%g_ zWVTc-(Wo_DU-COXaK8Ar%`F?J7rtO~ww9~i@NR^BUu%Sbe*(X*Gg@g?BmNaR7Uazw zG7T|}x5uc$=_1Sy?J$|uPPA|4-v5nYde>8(OZ8Tj3blH-1tx6m@SoWCRhUDKK9z8C7&gD9uj#nF!&zcwbGe0=A zaty#YqvzKE)JSucK3z0!IT}~h;c{7Nt84X{yw=LdoZ|>DmItdTG_e~AJm223{r|SN zmw0le+Y*c6GLqk$ZMMkShK>Bq3zGp9eY58pJ7A5IW$Vn6<*z`A z8sz({(bP&vMu66)bC(15#iNNfkUj%rW-9RYT~zrf1lB=-Xhv0b6?22YW+-hsWENcv*f~NXG$?C zAu^|C=FH!QN9B(7>d4S6gq(w(VDC4~3p2koC-aPS_>(F8%pcJZn(ARWgm9Od0L`$c zevWHHICYWVQpG;5ZX{sm?5zBq%HZ_vb9n}AK|PobB|LI;p&hQ^yKpe8e5UyoVAry( zY`TRC&Cw;rzb$8Un+qr})myCwnV8*Cw%>i#M-#AP4-bG` zx&_O7I+A|$`iu2$*u1soqVgWd1S99CcR9%Tb65N^UOcbgH6yp|c2_5-Z8g55cS{zq zmtSCE!Wjsx5AfRJQG|5fpPo(KL*L9xobu7;-r4{%eHE!~Ni4O7J*O@zbA>C~hxE7V zO?h-rUKc1HKP6D9A?+}*nTek2f9Suki62_(oTPI^mqAMAa@a-oOXMmm56dNN2kbiP zaxdNsWh?b&c%@0Iir07=p~NzowXp)T$=Xci6l&6PN?(7?o$PB-hl4n=@}Gb8#5zpa zS}@g=Zf^7?)MpFqOWk$Z1$Id1A9r8p24bUxL`6g7P7!Bj%TWu)<(wckBZQGOGd)gW*vR#~E{})ATDb$4l15OI z!8YC;QBl^W;Eq%GHQ*4ZYd;zeh^t;k$i)71SQ*$)-39#F3E85{5L~#v%MaQgMvQlc z=|imH1DxprNcPg)>1JRW|A>KIrC3hcxdhiWgZJdvrd8VhpsaJ+SanHiZ8n?f z_Tv7ZaUEHZT)8AK zXw;5R+Np@re{mk-sL20$4t75Id*PtTk~JGbRzyeh5f7BL(f+PvMr~#t^PdFcluVTi zu`=YE4^f%8>Eko&zd@W^^KUaSefW4H6N6Z>pZ;DH#QqODp6jhhD88QzobDwb>^xIX zY@=G#+jAw3uzQstX}N%T=dM087lALx$qn}4ljH!guq_n*#A*^=ymEk*1}zjj%pFI| zOrHVrYKD?s&)sSBVp=;y)x-SXJ*0Bl+^_GWwkF&DSHyn?_*#67 zwuM=0=z37)HECySE5X_PDV1c7lJ>QD0Yv*oILvA=RTrqV_ys^!bK!6-E)RkLGP;w- z!O$a=a;DqnIeu-sRH2#um5E%>pdx5Kk`1-UklJmxhjfs6!+%4jR~t86CzUl#@B>lo zf`46zYmRz86osE`dh>WFj*a=*CqFLzMjkkU)O@V1>ih=dH1GAmA(dY?s*iIDkc!|C^>oPF@z3D^GULO9nL-gI(2q6(%$_=0vq zRH^z9^dlv?+Uuk_V4INsDMh8a1hb;ZNh+%za_vZZ7y&#@Bj9lbg{=4H+%PhwTC@D7 zEL&0KRX{&QyyJqBK8Rpf6ntsb@tEn`PHvd{F@@DDE` z>s#PxT4^^`WH-zD>X}{bBbX4>K{bSrAS&bA0e_3#uM{MfT34Sxe1^>#^=cq8gcb9&ljzz|;b` zNssLrdl9QX+ls3rx(x9>@kL_-tARfPxRy`;);$|KOKZM-|I}aqGpjJI$AjGojk(d^ z#mo9&trmsCw26>rBCXkwM&l2HT%8clQqoCcqa+&X1b_LGO)fg%&^-!zlbxHo<9bIa zqEH%q+T<|24~uTT|6B`s%PI^s4p9JDNzD1$p5ec{{C*&fjM$eXq~jFv)8jm>7A-{j7skWkDlXm1Z&G#Os=!eT zMcPGSOTk=5NetD2sYrZxi_uK$y6|64>7ht&>;ca_|I`+kzVf^H;ly`ly-_usSzy}1 z8y4T#Je9mNl*?{LSj5AL=q-UGiGsekfbfP~u6x3@TBn2sUrxH}w~Hxs8@!=wqjL%w zoKgcHB5eVCdaLs0}bf12GLh#|=QO-*+L4F+b4`SzQ}8OnQP6eKfBfd%CNax#BVtmOBK{x`8HVQ6pbfFzk%`ud(!cJ!h zb?moi>vK-IB~D!J#_vJlzrlQ~VBSkH7Wjqpokar6RaM@gvDBIOHw=QeNaKLKzT4B_ zYm66+mT7H^VSXz4?Y1A+=TS}c4>}o66E)6QA2JnlD`NEA^a9z<<1ToOcc?Qab=eDh z#ESj)mrDWoGGQ##sWvFkIEKM&Qlj3Kmb|!nTUX47t-1O8VEhCVV?j)%y;A#yVZu-G zF~<4)hSAVh;?i+Ti~sO6w4OB}PYtXlfpT!<(CLs$&+5#+Sm}L} z=8diR(4(-#gexvCpZMBpL*s!b+CnrKe#s(^C--^WGl@0#)s}ig!qS1A*2M${R_b1m z&7-nex%+T*b{CDrp<5?7zg-uCQoELGKfIrAsx;#0Rpa4sdWJul44SrvBDy+ zMG_r@P&OZP{>~D&k95mI<*LH$<9t67`6GOx55rc3T8>mrm~`zZ-B02BY!I``o(hLQ zzIo$J>O%9s<2uO5K)?k5q0dk>MT_#_#2!2cS$z&^(z(+tsGy9M9UDJIgu#^IPD*ND zUq1u3X)2~4eQTaM&2@a+#)c5Ot$#-vdMrihq@1StadA~0%B*KRQs%tf&!W2so#{&j z=fvW?akHfNlT)PwL3uz0aHu|n9=-w~Vfx?C&!Lb&piHV5lWoj7daexFbbwW>@5kst z5J{HxrS~XG%fZ9L-JcjVGD5n+_#|F?U|YaOp&!a9jIFqrSbRbP>#A@Bi=639^1B{?1T7B)6L8F?|lq(d*Y0(t-l%H4V*ThyGKFm60y1_zqRS)zY z`=ke-v~zhj(G7_TdvaC5%e7NTVcp{scJ9ugyL8;B+9*xm%k>v?Pq^`5_*ka_=QW^` zQUZSLd((@c&67y`8BnvN+T!l5dqr*W?vq36QS)(>KQu~}6RO;b{Ix`>kw>m)|D33~ zmiSGv!j5hgn~werbFkMi^Sk$h^fthJ?qKg21Cwif#TCa-Pj{>3UBAt&{`(9Hp*pfv zHrc=xRsm58?lizY(ahNl1iUnkSE7m8f}zvZKqo86OS ztAy@-*F%ZI)&D&H9ggT17^uHW;1zegxbq!Ai@@CkX0MsfHsW~LCA79QfuQ$XKWVPB^&E5&JiB%0dPqB5(caxM5Q25Jj)(hp z`@PfA%X}}<-#Ge3f~?t}-$7n?ZQtJy9&wu(?~W=xUWk&Defc&IxMTahlm7&ZgM|RA zLlUOvPlD0UANA;(66&QHKrV6G%>;KetGH&kNEzLU?ZGfBio@Fk7>rlzx-__@!!I#@%WhMf^%0zF%$WAQ{B|-ly?5l7XBAru8y?SDaktVo*2U=Bk2tRY5drOM zz?Sp95&l$i%nEyclUri4<90%h$WwR0r7^|95UatpYT)Y-2s13F<3srD?J!k)4pSg; zK9(~O8y%q#^M)_SGszuybW4DeT&uS~nc03iTH8KA)BX3GDpw|Jcw-7$x$ocE z`FeRvQG41dX2KfpEj%UfZ7;KUTa;~74tmW}c&A4OAUUg=@Uw6>R&=hlDt%?Mqv41r z0QG*s_71cu1!5b}Y5|rwWuf#s^mOY9TwNY@^b^OI{G45%3AoA}f8a^HgXsx{AFrjb zoIbc-PPp}k2s8HoflbN=&c=P-$YFvyU?O;*eWmi`JVXYqbj!ytSmw85#BF??OH0W5gf#WTE%#@&Y3v7}waY5uha|$2H$= z8lLaHiHTLzCFf)PawSMz&nF}=#)%EHh{H%Y2-8xiP+U2IvQ#2wyY5Mnx1sg+P^7uw zKhXNlN(Kz1aAmeZ)tgMYqrX-%`5$x0x^7Vbno(>@`2&MyyDUFkTpW$np1K*m4xKUvD&~1%hpzzd$(;`r&OYtkGG@TnMt=h zRq&x3CY(=Raif2`Vu?>|Q}%sOUP~ne{$_ zXQwxc%2TbkRgd$k>}*#?ZK4lpl5-!5U;d(;=*~ZfqCs)`M6C>aWV&FbB2LSonAk#H z``s9ehoy5?W1*ADL3znijFbEHyF8ymrDsi@-WWfP|7G1)czi9&;VFKQx)Nn5~kMiiSV;7zm&RIy- z^dc9WEo2siD&r>(Orp(kqMS*AONus59 zE)~6X0`EQEl|jHXXpE(D2SD+YO5{>1qICJrW5d~>ph;((AI=8FH-Q4;R@8$W^1v2q za+CJ>y&kgwf{#SBItN2f9}^m&r|RdwPvl>7VnbAVzf7mR|Y$#*h^YJD(UjAF4zlv9J>t3pb4o_d;FC zK|{D(P}zr(rh6ZzekZUgYUX)Dr%yO?KoR{f5#AV$wMp8;-8>)2Glx46AUgCPp-O8n zyfwEHzdhi|Yyy!5M?c9F@CPa- zXDJK>)uew#B(dVM$)06IoF~MgpY*oWD+Z*%!fB?H_gs5;js0-ZurST>`4}BnXOQKn z1lx)x5d+m4U1>8pg!m1x!@8B}oBWoCq9z+QJf~LdAC3zFo2otjz`~QVNLTkJ=Njy= zT1@xHq-IO~Ty?p+V-5S0PX=zSz0{jE)9aPV`?qk)q)hZlrH&)bVWp$c8aBFbp#fb@ z74AB~ffn-R@smH=$fXm;o6D$gS*cx0C^M5dsMVKwhYqto78TEu+0A zzc^4H8Q`LpHyBMLXPcbCSK|waQF-b68f;^o3IC%{yBL88T1Eov8tJ@)Bxzv7TeTkC zO`H@tSczAKWxhaqj+q~lr!9MSy-~NxkS!|@_`lR1*uXabP><7y=pPS$&|L+~#1VXsLcEE_ zAu%(8`Ds%Pb^;ymc9 zfAxz2(%>-;6&a|O^E~HuVadX+&WrXz*p&KMD~X&?-AdK9oL1zrLq>1-il{I!62tM$ zGHSQMX>H=_{c`;Kf~2l@+&*|A2MIq!((KZF>XBO$ZcWuVxlN>n7MP--9L`-ua2uI| z_Ks(^ucZMgpG3NETuiUj%7^gB?V8 zV)Td!-%Frjy(k`E3P}}dzGdipGUrL+CUt<>x-z^y|DeK{f6H7E5u%1Tz+yTcUW(RP zR&)e1dkcA9IH3@(nJd8%nip}GcLj*m9XR^T&n5N|qt+3@Z6d$$Rcxb?6%8MnCJ=qnI% zi|cbkvemVoC3|9O7FFw)LM1^~^87Uh=qrJ+F*x&JOjG)ok?J)bux6Ypmm{Qye8uZ7 zCVZ=Hp0n(qnT0kcL)wWB;2_4bBixCP1t`Dai>*C(7gPKXC1_`2a9eK)O+RpoMCsie7nS!W(XiMQBFq}l^% zvz_uVv)rs}W`u&0@Xc2R2F?Zti$P@LA;5r5(qQl9F+TR;^#)b9?9^=Q!jz7hcr6ZZ zetKNSQ>g8L2bfEit`}?H<@b|u{HC~H9Od|SP_@)=j|*k+$xg)^NQ5g^`~z5QG!*;2 zQ{H+|xP80^|L`Av{~(xxebA20Cggwx#Df=aA=1Cq9HY$(JagpK7YiyBC~P#PVxySm zB5A}mdDn%q+WD|P8JBG75UH{Oje2mV5Q4Ebwgx`r$+HPP8nz)XX8dPvp=ae2{j7XT zg788*_H=U`b4zxmG}^VX3sydu!U;xy8p?J)9U?PZVdQJf#$~Ac~dSDw_o|5(Rk)Nv2C&GSQVm z=oFqRemaz9d#Q7Gu0{%EHF}8U944kX*Y4+2S~& z0P_`iqE^oIoFajXe23CT9c+V2vnDJ~nNJ!_|Mnw6BsCE7&`-`gE8&~J7sb?~DAJEE zf@)y{XT5_Kroo99+LM5Q|6o~3P+`l-4Uf~|*Q?}3aTJz{|d z@|`M_jpy}P4-sgsAX}fq{TKt@*xW$*lof( z1Im=WJraMSsD2NV;1p@!2<}A>e|kQ4uI3uAMay;qrCniv!Cav2Okp8oJ{wxM!3UuL z-9ujKDQ76o02qy{t?i5>^~Da(#2A&R)2$)H*lyl>oF`bfE(>6#9zZnhk`|i9X)e8Weh*G za7%+4k?-s{!5zSLG18dWA4j$rofd%^0*ct~m(3@Cj0=fr*PD86?vBvgqsahx9#})g zw1S-wL z4us+SxW7z=acl}-nf1`-w+B7c|{bi zr{K-2_Mab-U$TY8V#OWX{mi&M7=SI$RoA7#Kn2cFA|Z|VlK*IEet*#tsd_1vV#*Aa zMzv;A_YUFj5FXg z^HI7eA_-va=dDKOT`{PJCQ{asX^mqtsFYGfyL6{`v3xmPuRqxOieni*c%1@r>Ur`d zPPKWGtkKzD^p;A`f6ev#`*X`aF|SN=LhIBnXwREB+}!|e-lBQM@mD7k(hjZm(; z#dj|GB>%|Ekj^K{b)GhcOFHd8+4=nM9zi_;#mTKo0>#9}`Y8u;)4a7Uk@)*4dW)QK zRKRj0sv*T!{J?dwG!43lSSS`$DFw@;N7Iyv!PWPyTW&KOqHIeEw$Mf$J7$V84f5-> zt3?O$;$90)jNaELJ3jOqol{$_wS~ zK-ABZpbsL8R5US-dgG2xqw}lq5*nkwB6ff19=%ogx99}7d994tbBLG(2z?l>m2xtW zFb|eI%-Nb9>4Ai*u^@C4>c;*2oU`rHOgE)0p$ba)vZ&Xn3mqnsyaY72^5JdQt26HU zpf@eQ58G-nsZrA{iq?#@^MQM188mEVgUVTJ;9Y)f0hNj~I8ggjVZ*d6 zvM@gntQO*W4|FVfrn-euMx#XXszjK$VQ!XSL8u9 zgR%MKbGKV~pJlS(oS>Y3o&KP#AM%T!Sj5F2Mfjp28uXzHTaXhfOJu>aVmzA2vEXeP zRiT;1WDMJ0Xausio@(J!nmh_95vj}PGv?%(mWr~q+;C;x8-sv9!k*VMt6Hnp{&w8D z-FV9mW$dQx(ysVnG4z@?I)4W=;@5ZC9V!I6%?woC^wG4uOjVG$t{6I4E@hmQkk_Hg zr-w&VS{LeI^aK;Lx&+edGJ?@y%pMLGK}1_>ixtABDuJo8&6}? zYKTKhGSWY;dgUQJtb=-HJRt%%He)|7oj zE8rUudpsrvUC>OAvs_raR;@A3QRNS2;B? z4iB<3m^yrdgu)&|A&3r$-gI}aU`5o_8=Q~j_Q>GZG!IHCn#shQzJJ##t6caxR@H9F zX!(%IGI8Ulyvdp`8I6$ne(v&lnxdJv`*NaajFs6Lbgidoq##ozE*y~5*wHW?;en3#w z6u8eGTWCW;8j1nO#DiZ!X=6}>DO*)~w%+rGe^!#){5hqLm<6QGiQ-EQ_A#o4E(NpI zIY)<)*G3_l{C^wBnSw15HJ%u zN3e0>`g2czz=#69O@!_$z`O7qfDy*z-0^3Yb*n(DcxE-Y*K|uk6*E$p?uK{t64FKg zV>lOxlwn=Xt^zhwTi#N~=vs2wmI8Oebcc%Wyzr3t^&92KZ z$AA3!Z6y^CMwBegI+lXF%JAF>$DiS{bydCJ@H5)xVB?dvBIY6&-d3+KT;QF>^`??m z<#BM?61WyOK`js@NlX?;K-E}x%3h#9R>6};)pLt!D;w%Kg?4Nw&vvvs@|(#Y?OPSD zL_VGQJ!-8HhjvkWisLt>W@2|Z%Ui5!h@UP;>W71Cw8h)ZC0X9mK{x&fQNseeBWX4#LdhFA5oi5I`f?H&W zsgi=BD-MWX7D?>d@6<-{#xrBP{X$;Z@mngszl!Pu3^LduvvE6zd;>fsQ6?)q1QxDf zRxhYsvFJFKj%K6M04`ms>qDPa#Vjt|=K`bf;2@|(C5MMm{l5)E!flrLdJLI7OqoQN zH8mh%<6`*<5?SCv*rk*am*WYB_j)F=sfIH>oGHee({4HBP>I|FsYIfsjT#tE@s!Nu%!%GLM@UQO_ z{sq%OyTYbwTrM#UE6)VtuTD*vUMm)H?&&Uq*(4mH2POfMqcCJz8=q#w%X`oUgngZC z`HsFbUp!n31(Z%XJi! z=WH5|X-Fc;%gJW#MJyrnq zBeExhpTzuu>^hDsqHvvR5;s6OiKr~h9{(@Ola*2$M!ks2#UAxJW8pR5Wj{OZwSwUYaQcW2eF?W@v5z=h{G%K*_fM%O3S#HR z{Z}})WvOduL`&F+MMIcdCkLFxI`vA$Hq7oHvXQDXuA6JWqui=dIRsSw^JzY1V0TMV z4FV?{Mf9PD&;UBXwK%@DHi{v@A7c^>3@YywzI7Q5sf|7sC0NZS(HeIlR!Iq`Yz0ki z@#vRw6bD>LCywVZel|4mWW1|`2DvfzU&Ah|%)$>G23BWnH2#i7E014tm;w6Z^G_xh z6%UjGq=S%&IbPdM^Oia z8GbbR4&=}@xc;5ZUG-gW>wmv$G~=OK#w1Qrc|K$E84D~jIgS)ED3DwUD<@XlmfC{H zAamuMcf-HYH&qWL4u1)ZecnI)_t1Pq&-T8y68I|@Mn|i}szFRDoB>|y{Flu)F&u>| z!vBxGoSdn5xnSmrh(ZXU+(CFkVR%BIEqFp;%Lbs_E&p}?aDZ~8qVj^HgLCn6{onII zwx(w62G9S7V?%?05IhI^_E^wo!vr}tzBCA4uM<-$mQ^%c>q2<4# z3@C#Xstn7%uC=^2fm0K?VBfx8FAIs-jctIXJ5@#O+}Sw5~-vVCi-3hhgrQVSe&b)qM9(A>lnCW4AW! zpaajCw5TR5eJ0>*K-8GV0gKo1#o+>PPagy6y!`lKcy4m#_Qy_q!zaWJsyRIwcEO!=b=s!J| zO^!SWJ8Revf;q761F~E5a|V{&;jrw*o)XDM(9ogy-;}L}KSMDA5=aL@4NA}b2Fv6Z zLuh{52})}vQ{~$+$|tbdn32LT%+ERvml@w!M-?*DkkE*Npl}W`NYpz(VaR=`@tA&1 z$s&-aG?gDVSG0R|T@2DHwih?ny=|nLhQmGWW3ebpPsV+>8<~KR__u!=mfHzEbhAsHx1Uezg`=2b~!1i6R>=NYM|BJ9)2b!!Lf!8<))%wuw;3qk6*InYFH1KMB<3bitlpi zk2l0+n4=!lKqPlXUclKZoMg|#WBH-2OcdNsevE<&voQ5pLW$IoPRtP*P-Q+#wLG^D za0sxto(V_X?`@!=fPxCdxLWwuSZC#_64g~3?dSXM_ycNt?szF#v(drvudee_geS!{Q3CWtnM|?lQ%s~9?`XH^OHO%VC+mq+HVv}U0EC8?y$LEkK0DE`a;op z9SziLdmC0d4BO>o>D5!!S~zf8QQ_tdP!cjJru;8bpb(yyh}Swh0O0dB{|(W(OR$~n z-oohTxGQq(Xd^juLPShTi3;bMs$X3qwZjCR;yekdiUboAr+1s)S}{W|BFCEGl?{0>CC)^YA6>}yFQ53O)v_g8A-TIg8s~cfGq161g|>>NFg}_K z)pA2~Y^MtHd%e>|*YE773y(Nl|8eW+Ec^?I+REeXitnGuf2jFvZoDTV%_Zavla)zr z;%+D_=aSDmrUP2cK_3#W*Y^e6Sm)Lwy+J;FL?Z`BN$rpwuwk#~)np?Haj=RPSlQoC zRQ(c`t24k#!F$R9hd^*Xodqii`4v9!Xb&?nSx@_F-I_%Q2Pa zwc1mVa?2jH(|ad^V!lGp5CTaWCif%%xs!l98q;KggiI=97{Iyy=PTA#e% zUr9rKQoj>ibOM;p>1N@qTQ7qVRI=s_`sORP_a;?s9jw1Dm`pWg>T_i*DcV7`V=>X8 z7%zg;IIUYDYs5<|Pb@KdXG)d_kqkN;$cdVirEz?JS&%)>wwWx|Z%WKFDCg@I&Lrkg z>D<(6!O|%Je(Dc!;<+28i`CMEkmUFzU_M3^O6-XS*JHdfSNh0t4=qRc%Xvy40TLVz zbDOHuR9isE#e`e16efQ$1N}ZL9l072F%R3?>ZD)kf9wASO4J={(yh{wM4v!cp$!+N zTNmvttkddcSIv&$BZX>DB}ySwF*dcN%Mf z8z@G^mlrhdt_Imq@FDld;o)a@*@uI;1=dxLhH$y>#doZ`+pV_;x$YhV?Ls&7P%O{A z&J54brsF|FhEnB?WFGe=^U<6gsl1!t2W?@YFB*+>FEb$|N;mgBbH(h*9?nNz?#y>g z6~-R{(s80RysVBTsO*uE0b`t7mzqd*Zv#mklc5Z7u)X0T#w)V@9S*0!Na{UkNj7tq zl7WL}k_$ZBNLn%Cl44e+Tg;c2Yk0A+i4)D0rBzMWH1gH)HJeJ`z8Nbf%}!R$(cry# zqcKJl4WLhTrn*GpUW|I8EhKQHsE;zN2{l##8B|x3?3hbaXck?HY!0h6^^M}dkx+q2 z;@YnCKyq;APV1DQrncMN?xK`)KfR~Mv$09~CzL=Ln`QElJ#?G}W()~X)>n2Pi5!oa z8PY#2QW-;4iQf4eOKKWM^`oQ1aJ%E%@ySI-NmWKkqeXLosDD_@Qkv#LL& zX03{4R1zkwYs*F>UTJ^!>h+z#BKlqQ;u0BllDSxvRj%ia$BQXCmn{HR+NYwph)pVd zvbsA(xJkCSojG?*0wGDAqg1;40gM)mK}jk-ctd_T$+%!oOh^8?xd8&bpXa?aAX4xD zFTCYqPmA9LK?7m`zt}ZKTPtak1I2H)ZjQ9fS`-z`gIr-}NUFQ#Fmr9jyee@CLt;o$ zQ>9Qi-tEeu*EfKKz3~bYdT8C!72pdrZrvrV{>L|I?Dx-(-{X};PIYDb#G=phi&M&w z8noQFbWNnIS~;1#YlByp!8gHj*ok?~U*z}JE~%?ifhr3%X zmnzDLh}!#Qd;6?d=deO!ov`iAsmWcoW4|rH^gB57!g69zS28pB5;{j7_ca%{X=mf$ zR5k0TIwd%xtEKFeI6+kssR_ukYVY+zPmk zL0E6H@5+pAg^p3wYr8>Zj+0nvrnKDZxQ<;zOrauigyLF;{A&0Ft6E#GvhWYFSNZ76j zv!a@BO(zqnYX(I<3MF|3>YGN;0ND8I$1idTH8>Mw6Ry4zW%aX+t(*g5m1;KhOpi zFVd|@{Uf`+ES5T~eK6)uUbB{z=MXgK z26QkxX=lz7T(ohuM*4|1V-tR4#xcPgCW-e(KLg)8W4$_XIPd7QebAE{;PAVB=PK}l zqiumAhW#VZWK}uvgqCoN$w>jxPnL16t9NOYDtgo`^Wt_@nH1=BGBg8X2O;TDCL)U= z7y;}@i~-NO!mv*CzxB5eY2viPdOIsu#|dgq`xM&=>s{_7{CmLEOfE=;08>V}{hMk! zz+PQ<3p z-Uj!O1SUvi;{ZZ!o^s)dA14cM#ti1EN(8JW zdosO<++KZV!R>*sm#}E*U=KZ;Y$q9|O1YqGvn~L~n_2EmaBZN);u31N^{Wim;c(8v zwzr1TJF{yGd|^I5dU64|vL7d&)g`NgN)$vM&*g31J-+qH48E)lctIj)5V>=uZC6tr z%1$QOZ`X?y;1L>gWm^22Oao4N2LOX%4S(J&0=m=BX=NO74`?Qp2ddENu+zvb6+j=q zK}$qvQxW3tNuqA9>P04N3r7rg3My08nL&MJS?Sdi1j(n1_-BI}htbJsHSb1O;6Z~R zd=j%2rM^;Qdyj(K+P?7wVnZ;?S9tEZLJ!mSWG>P@Jt*17G(y6aokWHL zWLB%E(j7wN*r8vI=;6CR>+qIhpA?U=ei!fL)H7&(yVw;(sQc$d@&EUY^4 zywN(U+ESt4`00O-7Q%9}8~}^Nepf*qC!Nsfi4SCw;4sR{fvpilauTCdQzGk8pp&58 zFwr3G)@^!-nGLTGzEIU^Dx%Pcx!2@tMW~8rK9&)sXuOeUXb_E@Ibir?DSV4No_~Dn z|L)CzSfMnNb6sZW;~G{o42M}jYC&+{8}DxQe62=t9#nwH6SV5np#m&ZF>f_AX-N>w zuRz80`?>9bphW#L-vV{af%IfknbGUUTMzl5MLyY0z#kO*fEg&>cqF8bv55|x$-Ez> zNXns@MP_&SRF{R3N82<5{D{JG_@jtaK^|caxB!X8WLIN-y9Dsl5azWs$cW{xMs@ix zVWl@Eoej5oP_d2>Pk^A$na|+6Ay%xMA~ehtA|^IDGK_xov$P~IeOT&3Iv_Fma$~t0rtSkZ z-k&xEQZ9zu%K-dnsm>GO+zc*O3an3w_{qUg;A)U!(6%N5aX{)ajW7}hbFC)49Ed%o zAPF?DkD%;=&KkoKyYAzfyEg$-y#pfUywl>?K8R-sg(RYDcGo_;;$RCT_Oe?Ty#x|E zlw3?Df)OLB1UXzqLDU~B6@g7gtnX^H)h9L1xug8tE-xr@@n_}g@g_przoq0xJZ406 zL52WkN(xN|TEHqB9j8-b%A`@_J4%3xbjw_W(7b-o%MsQM~tyWi(wfa|#U_@Md&MNAuE!C|P;% z8?tsdc@Avgh$Jz)1y*vf<+P>nr2dxILjgEg=WGZ8!B41>^0b+4Cr9sB>SCil4YBHU zgi+Xkb^xm4p<<&oYxYfRkkH}qUcAOaE(O}s5aEDFa zNRWC|$fh6OjPx<^{wb+3)$@jG-KRT!}@ki z#F5qmBcNMqr}qkdgL=_Uy2C;gXc+12yzH?98GwB8f><`%uydi+A`+Oi?8q=zY)8F5 zWI;OtLx~zrRiUnYoCtQz1Ko$61tKvd-WS?ixrl(94IQ>% z0N@8ghZF*>97QVMAk|xIHUz*N(?|h|6~EY;_@vF?)oGvp0ck!J0%0qqHDMI~`}q@^ zol}!;dfyV@_5eDhs+z3*%@;zELAAv=I{nb}C`C37Uz-V}zeYuYZ^aYOzn4|qCRFB8oCnRjnN5CL9pwG z3L$Pr(oyDzCda@B{q711e%s z>F>#_ykMkfu{4<>c1T|P$-i(hOrT_3puVAB=m12$cmG|(ezd9LrQY$Hi6hr^8nKYC zuYcP$kUmaiQ0@m#z0yJHVr5EF2L&ZxTzQ(Af*4U;P}FVX*G47@nk0uktJ^KsUcM!m zy2D^I#z=zLQ+T$^&)Y@up^c5609!_^Lizc9>jKHpxF1e0(YIWC?yPz^5nH%DKvF8A zM;UsD6l)16l^A3woa6eormerZ*h!Zit<}+L)~PNFYAMkBNcIp8V$9<szkQ0QRW7NC)MH zpFU`hK3#oq6$wYtQ7OiOt0+zRTAPO9@kGPWGY-n1fgV$BjIztNOJsh*!E4h89wbWIWsp-oW%tXxvua8<(9Se<50pt z>vZX5R{S4GpKeZei#e&-O=iQ;pu?&&94E!+9I8lVb9vs zL9lJbN97I!;Y1F-?azwtKamkW7saI=v5R~;0z6J~A2*{h-o*{vLMUlUbju7SBi9dR<>Mtb2wX zTc@jfl%_cGdR51Yrw(PWXsiszotz1zMs=DfSmb*Au!>8!WE}|0-XM*h<#DR(xw;j} zw~eWFs>1cVkYOO&fMLRP3vTm>zj_SLNoGKycXKAv&|ijw&aXY&Tz|~)y5X&6K=@(~ z`}lZ`FbyP%J0t&6$X`NsGwmztI36wc8vNWnaIb!|tjIAI{MbZS?*4@RA>xr~e_H&m zvnYR5HkG*n`!xX-?$Io>%Gh;!etqqQ$Y1s<5ay{;&xdi+0+{(gy8u879!UZrrEkc{ zx+{YlO~5;kW$@PYGUqZ6$6DPHU>t?0e^eT*7MqYK#69(9aY=8*nFJA zXXs0_VM+?qK;4~kDFxR=5KQoIFfSb~cAT*ThHJCpclgZnzGT8H3~>*EFGHyEJm^|5}#oU#Jy82>p_~ zS$&nD(vFWbzui=fcdWXSB!m*-g7w`~^I*~DA0c;J4vA2AU0|St6LM4gE_~{M%FXihkd0*g86D)rqTr}|jsX!UaE z>#(3IN375^!3Zj2-U3fFPW>}%`H~O7Jmi&^9jv^+0 z?2CcJUP{Cx_UV0zJG+ngEjm!N2~zonqOqGDM2nNV-+rnr$*o9?qx^}RhyDf*+9|9bav z07iZ1JHy&qU|1XNcd}r#M`9|^Xst+OaHj^YairBx9jIO97+Q%ncDlK;+l zJ1BC9={Kks0y3n1Q=e^Q>w~;oPTEjx(|d>Lu*(8~RN^kTOwZmeJcM4B{?2jth@}3MaY?gO@toPU zYuPb0p+DMAi?!CSh@q!xH3S+pNU<>{Gk$b?d`|xY>p)I9{lEMMH~as%R@qsY|5utT z!5Men6o0v?+cT@oPY%z=Wa~`opwef_z!{D@a*`Vt5HyVv%>cs!YOaau_1(FA#Q~$X zmU2eMt!ry@sIhHKH%&6gGlT5y)fM=>PZ`@9Dw&aF?dZHXp5LZWxD znNg=uEcfAzyhr1?-YO>}BVg|7=J#?!{uP-AE&h89V@!=Sl?HhN)D=#?qZX+N2AJJ{z8% z7bv>eQI-nw8W#BJeWV@>uMPsmGQ3&hI)ZAp`?g6^UOFpj1b0ccGNnI?y0|!Q;rF~} zV7RfaJ*&3N7jsxE;%aW~KLeCp(3tidEajOHNL8pcU2-{tQ8mjm)MNo*g@@t9JTm%k zJ8hSh5Tth2AjHhKWS5~cY7eD$;iz(5I%0TY9VZY|Jv9Aq&Sk)6@3YMh1gx$@ z3Ytjo(1X#jf@pyZ?DSdt%zxr7D%h%7d_`bvvR>lh)9#=N}BGD`z&1cI2No?CBP3Um0}1VamnBeLvxe@egu zW}DVq>6Q5H0fplllL^2w5^`FnZ$#Uzk6m#tO*il#sRA?sGirTlGv z9bo-Pqf{p+r)4>;NW?wJr?3YVS&JNyh$b*alD-{~lvxEp>dhN^t>*li@H#g;#v^X@ zC&2icEIQxa<;&DNj`vr`CXA=?kLwG4T})cDb1{wwqKg-cM@b=UIk8Zl>ld=17(2aC82*B9l+cM5SviqV`0PEKYY$t+k*-(Cnqfc zd{I>EbjuxCM;Vgr_4ciPZqL+NQ$`5; zO_TW?6ABHL^K624=ioS$>cTltQqI>0IT0(804YeH#dzm0&wuDFE%FN~4zqgoX(aCq z$pRTTRwfxnU`MJ}spo-z#j2o1KZV!*I|HAvK-#5a_TVb`gbOBssrfTvQ};6{ME)+3 z_-F#0u0UXQ9wcTVwb4%Aip+L{=w;d0iW)s7Pgtg195D8PT0lWR7?i<}PBIES0uy$G z(IC5v#k#Wvq+7un`-x+3x&-Wr`r1Gn@x5$FHabnhFzdJYy;?)67tX_^2##wkZfAu3 z!4mg(1f7K<;6fDd#0P}hoh3^AajaR`N2~yDU}bpH^cF9UjgDy?1LW#Ijw~(QN47+^ zRZwcs5y0vi-V2`K1yFqTsT3ln@T8wNUnEN+A+o{J$Ed?BfK1K3Au0@NWziNY**O_% z1SNc@X8>kz0SP(|@^bXqj6GTTG3x!3!l23tFQ46on}_r(ki@Q`KmRA@3IY;pZyo?_ zAifU!K@Frkp1ZQtlcbeXLH)&8@dd9w2AipieGlW!o`2rIdKs^D4in0=7crP$II9=$Z!Z&g!MAWe8knXwUBZ74JzGeZdK_p*v6k)jEg&hU& zF#&CcqVcHOL>prndd@E`Ql(DC92L&bwVOg;e z($-$s0Az;6$MQwg!wpm$*NO**ET%i^PPKXN5P^Ds{^@zQM?_WrhT{3OJa?yUhA56M zRq23$3u&T&$!-k|v~81rnE(#O514L7S4K6%N{skqmkfv!pE!Yf83Mo^M-$Dlu#j*&;g{WKJ|8z)RbY*cSyh8d;U!3^A|} zv>-!r6OmMnIZel6Ar0^*(k%D3XGjK9)?No%*9%Wb{%Z6I3JrxsPXd1Xhjr!{b-8vs zk`zzBQM;`KXikEaKf$rV&@QJKVEL3=uHETOfyb@;S$wzEqbg&$M2z;kv~--vdCPu) z)RY)HfXKp9F_pwn87KY~Uu!hJi87g|!7mJ9aNFvqX2qI!thtPLp0_hb>MZo~x ztqmdLg#g)-zXmw=L1P+6^%Ri<@N!#TT-CKSnqu9iK|yJ(<)=yEJbTV@vk(3X5j)jW zgmjeD+2davG0j(h*>*h`%_7sdz$?v*u1bWbG=PFvXas>B5CPWo3lcjc<4YJpt=gWn zUZ#1TRP&S1vi|AbW78~Q<@FCaYyQO+h3@0F0`?a+;C^Fzvz*8O2yg`3ZZ3ER^Pb5_ z-}O~c(O~%%RS~*GiXyd_vd-Wk4wo#yK1I*ykZslTjOh_q$U76B5a0sM$_6jOB-Zlh zzUfm7G6IR#mIEXXQcJ^;T%7B*4drNQj_(LSA@!~=#+@3wXaHj?I4fbEiK|CU&{ZeOGdGEev` zy>l~7VP$-&|Cd#e-ABIKcY?wkRl?O?Y;LW9mQ)JEXa(dl-{FsLX`$=RAdka@t&`4U z?DWH(K}ti?#JAM}V0BBIjn}KQRJ_&#ffPj0b!N00sW=P?YKmWnVH5cKN z**>9H1Zh5M!dl_!66wi=j8hKqNN%?aO~7|p!r%e5d-e@S3Zxcp@Ue%i{kbB&@`8i5 zSP-84_Vv)C;67r)6>{v-5HPEl_mgJbZ>cub4FilI+L7QxJ+1M3RnH+J7e|q>zbGsg z(Fb4Z;uTP$b}3G#f<^S@n}FP)cHnnFkDWkpB3B~Gs(0*uWt8?erNELzc8QmIgi}=j zLx^qfn7yj7?@_{kGza;LrXbvG2pSf2QYmm$Ib%3^HCsCtByRD(8a?AXE(n9_;$8Jj z76DKWj(ol#GK)45c3kf)O}NwfQm|p|k0)DW&*9TaOpERfAl=?&JAiH1?fJqm;vb(| z%RD7nD{Sn8ZjalmbKhxjrY<^?#2dm?t0#~CM<8K>W zq01!HaK*?Hs#HfF2p^d2m6N7q3-#w5)Bq}c=E8Dt;S-|YYhXX_aqzJd=rPKQ_x@7WpLavt4(Y$s+6GZYo!4QNRN!TZ(c|UxvXYCfM*vlZkd? z3x((Y-vMfi9{6f`x7g04*<>woE!yQc&hLqg8|Yw9$yOcFBd^s#U?3tjk-zn<&KuTq z(qe0gnC|aNl(`X0;rj(=1a0(vDp^KKck`hPTz|Yfei5lx$5m{_(H z+uoX{&Wdy`^v!h7(huezEWN%}nqpeYyz(E0>BVnU7?<~I3C>NsW7E64l0Uzj-&uJ( zv?d%KV>xbFpJ6epxOK(xBMvu{(`844Kj$Zp-+usJ4oB5#Xr2(PV=)833>pLLwg4AE zF!1fAAC^O__+@dOz3PK&)3WEnvx%BsaI~pn(T6N zHDa)=DXKevIq$wN<v=Dre{p#~7|$ltI_bS~tEe4G1u8r; zJLv-?XsE?E5IFen=)xi)m#+(cl;fV>2i4fp`cQJftNr#8g#z{!U6XmuiBd*Hc5_}JFZ%2Vb4Nv1mEWP;>P1%gF+ML+ zKYY1k_+}#%$e1AhEzwJwFZPulf;}^3-@%2o>$i{z6^*rKMsgBhsaC^IJV z>om;uWtx>Fi{Bjet?EdY1m~DrC>_-2zxgXj%;foiaJqKg`OlPnT65fGg_H`3GQXbp znSUe5q8o!og|WR1uV%86cUSwa2b3CG z^*@+=ZWcijyaD?0x=>IifV!YC;JYGFl^9lurNFNPx>k^k=~k}Hs9Kwf%8xdP_2z+Y zU{w*~bnblS!n8%Iq<9r&C|i$pO$p^=_@{aPqy|9}t{<=;doOzP>_@; ze5@G|M>06Ph@9IWP?lf>o)7;AR< z+J#7XAAF1=ES#gjH-Q8TrnSX@N8p;N1zAo!SbG-oBCpAm0Sof42s3F}F=MVnFSf_G z0y2p%4iX|uU2h4zV+Fk9L3FM!*D`=)?6M4_x))$dglD!sWyY;D)|gQY&QbCu<^)WX z;K>F?jP{u-29|VYl4todFafK@4yzSYg`2!QsSn?+buxuWck{3Y?Krz>35lt6tllMC ztSv+gkAm0P`}ua$RXcy8f0RkgIV7O)SEOBZ#xX+n=06(d7&^eU>o&^Y0}Wg1Opz@R zCK%8~7M!=Cc%GC%Z0hP6d^6_}>zj{aoTvB!o4rnoZbBEdJ5H{;MNNdOn{*z%4;#-4 zYoI@(%pns1OD9ZRzh6E=gI$P2i%o7MqMQ5&@hL7W=J$4^@%APB%yDkiT7y4EkFXcK zPxGp)bwm??lj$qqG5?M-x+4zuc^MSzJRd-&X=aLpLB4#3eUsy+=GpJ9?I1++4h5*F zEORFevLb=#-!0f76t0FcgF?>DyilmjW@eRuaxPfMqo5c3CtJ8NTZB6Q#zEf09TS%q6XCLkKwP z2%d`$ojN2Rolh9d4~EkgvcfofpUXK2d~P`K)5EnYFJGk_a#s-si?oyY1qUj$-^~eK zf8Y~yr-rM?h;ER_>^~3=tmhGna@(?Xp4s=*_=>_2*IdBS0S0vAZ z1QBVNqZZBI*8!uuW0v#u3>Vo8%)F(|aI`gk< zLqJ+zZ-ma`REM{&A_ansrkB1Ozc_#fM-ZfV?z^^Ph3;vJHwNAf>gRS4qrib3YXsrO zC_w@xXrP!fr9qwjm5VPmqa2Z(<&QPlG&A+=s3WVl7z`AE>-t9l z8vFboZv+;2Kf(RnCe5~CC@obr;#Dn$az4pj!5ko>s04CYUGh?0lKv+vz9+*@8wALu z`IJ4k)9jHMd^2gBW^JN>tqSl!(QozU+AxM5j5i)Af@IA-0rktF?9%$p@Gu$DC(whF z2V&Wf;Z0A^)Fzpu4L7Jcu+RuwMpAw)uwga@DXfZpErz99ApLf~WN$`@KuoSox?qVu|8nK6K!G_ff=#*TIj+n;C%ayaL#`v=q zGdn1Iu((FB#%A3aSmglsdG|8ORJ5A}X*_shx{9j(7m&yh{XU1-(cBLl;RT*CX0H1} zPdG9ad*M;vOVj);Oj+9C&mar`S{Jg#cX^pU`^#Jk@M`5} zV%{cl|D!T*DqNOg>cFafNBKBG$eB`-i!n4R({Svf=PU;m3t@niz&3c_y~W}=r6~k# zQ{DdISmAUq_=%BaAGAzeaEUdy9@Dv=w+!f8A&{+*5Cep3j>OHJ7?#YumnOfcIMZ1) zFfr7bO*-hKF=ivEICp)8Pd*xn48^}gD8q0NwzPIdD0hEd*t3K#0arN@OwU2l$yU`naaB!3A=X{Vi{ zemTG+TC-#26-)Kv_ZyJnw){Iw?X3E9?eQ6;R8&*cj7;f?L zn_`XZ;Dx~bda$WPAR5Z_ryU@3jnuS=q4YZcy~3UnHKh?S^i`|NHxS^Nbk%}WMng%3 zPk!=1xLuRMUox64JfYW;E2m7=zwM?)3DE;SaA<(m=&@0m4!0a>qhqo>yN0;rAvROh zg-2^`J;(!^G{-M%?$3BDyoB-3bZ#fN~5ibA7qE1o5K^t;Hhy z)r{}QbH=0(CcfUvG9<5~yW^H%Ek(2n^+W$t74_fTYw66PUm`F6r^+*p$QKZ#MF_fb zy(56}Oq(F>k`Xtt?Q@3(Dk;Jn79;r6m3>+QW*B&?%eLDCm|`KfTp-keb?`BKurzHV zU=M<+Y2ehF8}48P8g=1<%mkHtFFm>4%hS}Cg5}geCU!V#j86|?k;FiFsjm#Zc5VYY zO9E6f(ZW2@fJ6tN;cl+7@HEsK7g%9bXwE{1y&N?{q!Spf?R*~tSndDJn&KAXM_ml+U! zj?6woRH==EK~e+Vtro2SNwDp#8{S?Yq1crdCN&0y02}4zr!ZQBD7LMl2(dMY#e#yf z6O*iwfW`uWHmmhZN+jLUk?hfgr}N~??;Q@TblUC(hl0SR8#2U@ghU*jLx<%fD6^E~ z5m*?rDx%1Zp`y=~jXEt;XKwla&JCE?@H1JsLla;4V{v9*Q9AV`N%mpV+l{HJ51ZBm zM_)^`7W)X^J{WH9O%bwDDoY5_l`T|cOC(T(*AEHiG`osaav};)g18xWH?|KXv*R2Y zG8igm`vp_b75sg|0Hc8y$uU2#rGx@an7ZDmriO$V9ZIGhcYl=}p+9CrwE$d=V$q{B zW189d=yR5c9)faZCF28*e(B3JyWZ?+-$ZHDu4%}!dRnW0s@=*SX?fIf8+$NS`#k*X z)g@fK#2#u;GIHz{7%9{4cy>*zjurqnKleE@O7XNY7r`2*bQ-r*B}f0+6>3JvezYDY zpWZ5t>mE&!1u9uSSbd@DfB+Q^SL0nKcNOHJZ;%vu&zu|~7D+4n5!yMcsbFSM-fw0EcX{WdG32B;25 z(xZv@-}{r6y|ksci=8!*<|hsh{@`&c%t_1oR?mBmeqB%(#M-s*Tq2yX6;sPjlx!0Z z^9-mhbo&TtH^ep?&2SkMi3*(S4UMTf4m{{d#z2+m8oPi$BK_&8qo)TPCB|mNFKy3q zO9`skdF@rF~9f<?dABEtFxS-g14;q-}Gc>wZpxXxZb;k(DyX__b>b8 zKOm+f~5&$lE9GZ<2_GeYGe?{uMbATpwEm2;F@0Etz ze~gG`kinK-I$J?gjpbGe?}5~cgg0e9RvRMv4zOs!(vH6@8-uVXMf9B}%kEEiit6Ys zwE_OHCas>EsgltZpyQB7Fr3q(_6_t#h(z+-z!!V95uVE=5hk#={ zty6UVzu!);lGAz}MG&yO$2~mh1NiXH{U8&x6hbDE^-epLZu9+l4m$Q-uoq{09R=pS zqiJzZ{s-d{3!vTUU64YFFSvG}x32k&<= zpRIxcsXEQEu^$NUvAg=DCUKN18-RmS%P6nOxFY6xmmTm4vQ}q_XiDS^1C(#Y7l+u@ zv71R5t6`dmCRJXCiK&hmAHw>)k&442HZ~LU&&6vTViObjm#b;ID2CM;QL;9$?16m& zhe?DtVuGQm95CmKD80<7@$Dl$MBFYwAbOQ7-PE`)n;2hVM4dDWI_>!9C&1nSkI&9f zdC&-b>5gH@KV9eM?7LtqO-I=rpZuU?fDqo+DCb1bq4TryDkIt*Y|fEyiq;bc-S<3h z2X;dIR_RYr#Xvn@^#(p7B+^D6coMbEN3S+7k)Pf@)A6+P-3l%Ah~>hvc*UAjSLa57 zT(0apY{viq@TOx3PY>al4nXzxeLiTz6!OY=vHzn)Ey<%}hsY@4hf;;#EkY{U^5ruHYDUCP?>CT~MM$)t z=jX+?&Fm403&;x7M>03)zt8n4t-E`S8n6uSKbiSXdpSa#IO#Gd_y8?MQ0nM}1U8uq zdUagt!>I?YY^5_e?x!GsiT>vQN-`9Yyjl>7{Lo3Xh(N0%$Y6tPs|9nh>n)a1#-~PD zm}f~MBJ%>_NGlFaBTB(U;nT=C1TBuC#6DWOHK1hW(Y$y z9O@EE+q*pUl7MKA$8M1(#CipV>NDjY^#e0Q^=YFSh$in2_5pmNgv@5&1cMD3kv@vU z6_kZNmk-TD;f#i$5nvwe#f5>(%uM#07KSQPo3qFT_xTwiZ)xFn-tk$}4(yQ@IiopS zH%}z_fiaH1L6oH^gU_D@ZZViNggyS`*8pidi)$a-=?S+QA}JhZq7N3)I5@yUn7jL;`1swBx@-JDJGf#@xdihb1EuK}6pxFL1m- z4O2<4Ou2GsT(6|_?)D-uNar&pV$Kl+Qo;&N9#De=eNNm7+T5Pf8FHG&MX%8E9s>|= z);_5P5w4)6q%(x3fvrdGHR=Kv5Z$@2}aZUUH2Mrv?d3G-Y_ zKx153Oap~%uG-cCH(wIq&wB4hC@EJ6@W+EU4sebl^vQZzdP8jkIfC)I(HbS z&o$z}<&_cy+we27xaaz@v%d+54WIvWJJkJsmIH}(3(V~xX3WssL^M3k$Z&On1ESYWtF-Mlc4O`588^!^qoQ!_-fh3+xO8zU)*zySuGwk{$+Owo4f!ABZFyAO-0*fr6scZ9y%+qz5;l`}D!ts_ z!!GqlY3}Q%au&sdj}f6a;6-;*9iG_Y8t)nzFQ%_>s>gxZflCpWgJ98j@P!?a0%!a5Xk5B$je=U<(-L|-V4twfYSUeXm#umH?y%SY53>l z#Nj6lCreD9iR?w<7g~W3m?(Rq(y^4D(-+(guhwT9SiMJ_T$F!)#)!5fEEnhn{ohpc zmv^-~!ZBhtoxb!JbByATpxXWeB!G=m28E4cM)wOP7k5>|mHGX0$^{vxI)iL&g_2wbBF`#d^Zxv-JEoc~V z5KG=2Px2=8qLlA1s56sHb+8`+f#qR?O&I2}M9Ycg!hrVSs!?jrTz4P!r zBDQCb%?eN)Kse8okyThWJeek9WiE!OIXwVa1n^yO%To=T*al28=UA1-#x|J~`!c7) z`VwLS0@v9*0oFpRBLHpcBB&dsDw`np5F46fUzJ5WgarUr@G?9e!i5Z+$_|l#tj|xg ziP42Jhrd7KR0eOVXignMb6%eW>HA|_RO3xbI?7aKX)H39Jf~{@#Fuh1Ry9ar$&>Q? zyv}cnZdTU+9KoDIc#NK(>l|uY>dqY>XqorvGseGge$%~bNI0|fWFDxR3iiWh!5(YM z(0SE2sf`V&$#WSp{t7{!V~DPQ45=N?ZW2b6vk>N36{&jf@1t($A0&C!rAeKDspvVG zGmNXjfYKPS`g|T(g7PuKMc+eMDEs2%dd(M-uxT;1%MV3g@V!;Ic^*0E>e`opfyOF_ zGIIu=xWWp|Yk&sIrSrL`6*Tgd45SGC-l&>DC(scrSRf_e07(Ux@Wz`n> zt_+Tq>zr;{=R6G#Wqp#$cZa;HHn<`^SLLDXm%y~LHda=jfNAA4hY@TYQP0ZXjs-oA zQAI&MTl@itj!f9kDi1uYhrDXX6ao~+Hr2xTQkm}5&w@M+fjdKGnsWMeC{L#lPSF!g zr%tMO3bG_gT#Y3<<{0sR05*)Kabw*Jca3_8Z%0SR(MY(lnqeV|Aw*Rfmvbcf=IL4l zIT(9r9x#>zF@N)(yXCQrr;4%eizRKkCm)K~Cty=>+D`sHl)tG^d+d&(yd*{o6eCji zCOg*E7qF_*G6sWNC?%T6>pwNQBIGxphRqMxv+zEl|FC&U#k+)mi-z=a692*n2`0Ke zvfUg!WrjIK4C^?YW&24X&|sn%Zgc|_AMD4F@uJp~NDb??XW^;JhKI=R>2$=*ZnWqF z8s5lwfQ-b#2{$#{igVy)LF|b_QX8hVL2zq^n=P>UJmiz9Wl=-pat$hc?2lfl;Q5zz z27ac!8%g^MG8M{ym>P0kz8(HYaqAtQrqnjYi*vd)UoL@42eQa$?)OFI{SnyBkANaL z(Q_so0Q6sCmGpS+rN3MYn)oh>^;NDJT$XLe=767dc=>TU#>nd0*X^kNy36m%sqy)A zB|pLuv{c%j+yq@>QPY206!NbCB!BiM#C6bPAoP8EWIG&xZ=b?PG9vo69d57?5qjdZ zVXjQ#EyY+h6;VKTOKGAnh-EgIUR4!=OT*Q70~5JG>6Oc1f~D_hgpU%`8SI^2>|hHW z&-U9g{tl&VsV@|gLZa)x(4y0Xw^V*ZV*{JviZ8hsgWm|{-H|L0h8_n2rX;|C>8GbG zKpAz$<}^8f2RB~a5Q+s#D94LQ)x<@h2Yo1+;PUu=61CYW(r#Js1!q^y{b7<;yXd3R zpH8s08+`GW?!}lF^r8LyVhP+0(z^Cin&k0b@57eI9Xrr?XE<7gt%b9isR#BGHiGWM z{90jbP-4I!@=!e;0JCvV)+^qb>_#b)bkGrzySn$3sA1a{! zL#RAR7w!LxAGYAmWekq<93rAJf zcl@?638VZp8-4fTU(|z26KHvjfPeZzZ2t96_&;%mN+z(y1bjY-$gq3PPR08_P+FYb zm!Td5C<8JvF_U2)D1VJwS(DpFl782(;M<}jnowQ1cAq?! z2^xnE|N6*)*DhEJGgyX%fvyl+mpwLLYD9sNK0lke-12i0v$ z1*Bb(08yIzmfOyC(+{idgp-_jV+ZcGZ~jo$!ZuDj*%)jEkE<6)E%Q_xW+@MK$+_=@ zXCvn?0;r||1Z-08f8{4l`!JCzjOA&|ar8v=d5Y~F2 zG2Ka~s)I7ltAX75dWU@v+~LIkyB%y}>gyekMAqRyoF>nnW1X{Qikh}M=rgR7VXjJT zp09@i=X6Eueh!8LOCHWz;8|;wv|txj);_l&JBE3WR@mtxX~uyHyZT)38X+ClASLiW zl7E>#InJZhAaW>!};BNvBb%E!>5MqbeAaprBOAq4A%{yn({P9`>_NT*;(p$>UgALZlRHscsO z0j+{!?fib~xl4UdMh(T~6Q159Y;bw<^GF?#CpZ{rvWJDC$N0omsWNrC6jwzi$f9`= zbKSzO7?n^(m=*eft0sSH$@Ex;Bw;_FZ;0Wjr>!`5(&bb0=j3U?gBbYUKlXkQ=YIlo zAK6#CU~vNQ7>C*J+xY|;2(kkk8%_Y21*`#13KE4zqC1{jKLQFE#AY(SQ4v6)P}XQy zLo<1S>cVOwBzQ)dtTJhCvh`k`QKsb)tV3_E*JC^OPH-NVOmL0}!&FlDyw$oLIw}DM zIz#oIPuNjM_Rw&qzIkj;^)-v16@O)#Sxu`F8UzZW9A!GW6LcUj5jZ0<;y@j&>jxGX z0a^m&4(Ppx+4Tea=mQTk_~)q!h}bH<-rKS3_q~k!mj2mHrMkEnx%b1aZ_WTFSa9zr z-b>9D4R3VU1ts|uuoOWWLdxOX{;Lq9Z-W23Ld`r+vm&E)>ocfuAc!iG7Jpo6-BWpX z!6ffk<-z<>?GTjMB)<=_mGyi)&}V@2RAg^6V|u6~__{3kFQe~I0S~|zf@~@gm=B7f zotzNr4|SY@CkT!OAPJcn@oReF*s{!l3arun%XP@{aslrZ88|Fz);R^1GIuY*To&+S zN@}CvB0zxf$u>tZQ9OMJz<=|>SdbLz#L?f_9KA@RP7aKcl~^Cm>eCF}iD~~sJL}3K zgvkK-{^1?B~q^Gsknew1j=ah;FbdAR^YR|3O+MIgKXB(MAeURq%a@LEiW<# zcQ2$ZgTk>2|I8~9%EFSZ=zs7a?)%|(z5a^a&{;=1EXCX^!0RmKM1M_mSj2%j6ac$a zqxXOyu9nSJq>hLpgGSyyi&1m|uuHGj`;JwOo;Wu^$?Re%Gs%D1dA}bb^Jrtee+bwK z{oNC+OvGt|3I>00oq-iF(5T`$XpyNbg;;pCvuBWn94OOyS`_PHh%8*XcIg^)2zvw0 z%~(?J4&t)KW4M4drhooi4}<46ad;du0wzVJX*rm?0C9^bP{`$kfXH#K2?Q*JfG!fy zG68KQpp9W85D)^QD+F{#!LJAY5b;Tx=7z%W<1)N#V# zN3cdsOZgm)(Q*}{Whnn+>Q4g|$+kn`ZTIMVu6%E^54ThtiRVz7y|2^c;XvlWKFdUB zgqEK7r zP8hxY*IwM_Ti*u1J{+2JDyLP8lnh4Oxsrfw;xkchPK)6+;2j?innr=!^h^@ zkoPwK0DqnIHM{Ff4*$&HnC4jGUNWvTsFe8Ufs;ENT1C7)=SHQk|5EQ5bq5S3w!M#Y zLG4aZkd1)H&EXcuYY%n96-xy46xKQj5(~|t$|erD(R3|#Qwdf&X_O? zH868K?fpKazrYdX5=UV#PBn&E$gW`7yrNd|Wmn^5TNn^P7Kr8)at0_x&*E2Y0KWoe zTMho3M1>(5hFlD7gJDyOv8;+=(4nDVPk*9*rB-?gpJG#>$QlGC3h>kuA%?0TM)*&W zg9_mpS-o#&S2MhksMeeQ8`;&|rKY+d6J{r~lv0DQB_gNYV-oFYX4U43a2$@7^qLbp z<;vh@wtr4FhMla9P)kUr67GXoFqo+X?UYgH;+*w<-yruxNbSlCErkknB71)X-+wqt zRs?D(gHz3*8OlF3<_1s>#k87zco9xLv3cwFK64D(D zJ62-S@RFG1%fRyi4@!w4Fso~{cpnFr9j_ij3fmCy3k8B4*bLsK4Y^9Jrb>u8P9IMl zlK(Tt+J#ZcZ#Us=40;yxhKL=%S%0Tx{(6)W_g_&zEOvTMD>G$NTNdl{eLKB$A!WKs zRc4m4Zv`6#k_IiQ43oJ+tljrsEOn(t>#7LLpl+=DM?Yc)T$LROcgoL??oxiMf%O37LUdMJ#(PD2y2 zM$8H_@@1IYbD}bkQI(X>_Q!S8U-#d`r0?gdt3o0wSR3xY)!6!zSP zNS@yU#FKN^c&D05@H5<>_Wx?X-UbK96=P``N{mvFcX-wAWa+Z!soN(aLDiyg=c4D0rkEA zb831oZi?rlpck4cg@d;!@;Yf@?R9BWt@YE_NjQ$TU~!4S8X!D3p8UwyopMB|6x)%D zq+(pM2=Lc)?tlHo+Zv%ZP9HR4$@88X$SCEP@u9qY%9n;AzX%%hRhn)=15gT`G3!tM zGu@KJ)EVe2<8etSD-dB$ZUQY=kST^hC0MbGndx%>Da?viQvs59*?JTw;K=$Yz_us8 z#c4Q~H^xoH>`A=hQOOuDr8`O8A;=v5n@)syU5BI&^?&Z@9}E^88xF|~jd!Z*;;9DK z$Ssz$nfhimBCt zj5C@j(FwYu=hjaR8wb{L^!J!K5fw1Y*9U{VK0+XhrfLf`3IxK=;+vPpc13EOgk`7Z z7++%5bAR$~6+!(E`6y(G5tc|E4PQbH;qlKf2%@}r20?aFF8ddnT#Bhc&&`)V(I=MI z?$G%vjqk2Yx#Vu-cAhU5Z!e=aZL>7K@nPrX=NLBJG|!7!UQGVimnyPn%f26aF}@$x zgKI^Ki?=Ng~8zP@|$=ZhsR0PgA{ z-|UVr-hWV=J=CL&Sb(XYL$4#)2D1W_LZExE+68`RA!H>HiLh)tDArHj@eYtcC++mBR2kc!DEM!MX+$NSG%Zv8k z-!pRD+KLl7j(3ZsmgI-z%j$mu9S8HN&=KjJxuq#~YkW)%tQK1W|l6q(s$-#aL8NPBBztXH_Do9%%#>eNI_1M1x@zAmkul5)~||#Q20#Dd7|H z14;pw&te*^pJ1A3SYZz*#I5SVlv#Ab)1IHsAurg=isXc>qe7)h^?L~5mpEXc7SO3%<=$+bl#4v zaL~b~Rygei3qr9Ea)Hh80`??yl?!YabztmY=qAQj!gjF~vvAE}cw#$x@j?}6s(*M} zf2>vUMtzF#oDZrvown!dmtXMpsQCD8Ua8`Jc~y;y*Y&KeX6*vf3vg6?s226InN$n- zNB7|0)y1@YRex2V1QB6#&hC7K@eKxwPj;}EvssO4KEXp}!PNbKKH6Hc!;Feob#qZQ z-E`)>__cUfyv7Z*I+x`qt@`AcwSSo2JMDzni8XoQJZW$Wu(Rd3#gxUrrn4`_%NH-Y z1&WuGc3RJhv*JG=-pTJz*KIpr{G%x9W-`6db#ql1{5!#~J25fvNhTM6hKz@a35U?K z;cGd`Ic?woN0if_II#63$4nb?{@B;w|NB32O%B{iGF#rJPlG52 z{pN$(?na$Tw4n7h!dJMvmcX!fMg&pI>*q)yY5hDQ z8LY=5G2AVEDhX{pzcu)RzJK3H*zazjNb$a@CubFy3F+UQs^Vkywe34$&+k3;{ocE$ zIQ|bSd%qVYw_w6a*2n<^sAx$$9-It0KnDs#Foa@_{Tf1X)<|GSq{&0uyS1f1_WHmb zrP$w5qQgQt*+-)IU1(EXY}*|zZFloMTDpMEVJQQ2fQt~KrU8E`Wq(Zpu$QWryng!i zvaVaKR%!dQ+6sRZ_9ELB41tS{HhaKA(qf$fn9ayii64a_b2;)W#>JzCoQJ{#SRBmy zMhZc@i)C98Xd^ON6cvGS`d;>c^&> zE#@-oe`i9JLR~XUM-uRQ$0@zmkg9g>VxYLYI6@E3`%4hv-rqPDVl1r zylEFFCl}MjWVu+NChB>4H2YOKW}lR@i9-9JGpY{H5nK2;c7N@{7DZ_O`}4t;4{v(< zgDxx;Y5eZOzyCJ=EL$WizPm*i6dw0(fZ))t2fUo`l@06;OEO_q{KS0JToXtqbX^fH z8dH#S0v)AmMuiw@CmZMG_2P*B;FI>)A!p$a5WpcQ80d~3AB9YMNP-^!dB2j1dsPqu zLQHlL77gn2L4TODNYBHwITI0u{+1NC={6g#a$vqnq0i*x5A1wbL4#MaC3j3hJA-D* z$}v{d@L-{lK}KZIE10;GPGwUbkIz0Q&1k^x)|Xn&$m!7|>-XsV#NHYlmIVT1A=IzV zc{vdXDe9c_(>v>{X?wjK>q&iEd@d(n7WHhrY-Wq%vVUB(^QN9}H`j^w^1CgVRF@I5 z4x%FIkcUvtBiq=)$sG29to^IJZo6dMaJz>q&Sy8I`JO-K{ru6I&~wOqR2Q^1>boOH z?c_KYlr*Rzq+2i#G%#&BzPaDLaz3AVv^7WF!?o)VcU)1a)hy_D0f{mZN=V3_5?Sq$uZMEf=IDs-?Q=k);I8?}(436Z zhkwKsJd%XGHd{4ik0ea@j2P23BJ#2*X?bT#^5OveG}jkSxb}KxDmelSLn7>l|_RDpUG*wV|$&-?z%FQ%E5M3 zFeD_w!-p0iN7lbjH@Yc_^31H0+Ra5IKs>q|-CutViN$6i7VlmNe!jka@#<|+ETSkZ z(==Y(t`~W{$RiO7nJ;eZ#mC^sekr5i0e`er8@*h~JPrCaJ+HN^tl57Jy>-jaw|{%} zHWFe{hGiCKxR_Y1q9T+!>oEGZVZElf2I zHWXQ~9=lq#x?9FYFsPHz;|iCnB!zS8TV=YH+mUpY`6Oggfn13QR9&0F z^qr$7Xw94Kz4Jv)K4yu^tVJ_J)Y-SiOWnlGhqp^N2w1%FZ`s+@0zAp*P;HXpW zb`2ae>N_9Z={>#F-c&B6?L!ftNsyFbAySgy?Xrl2-r^((jjsyTc!{kzFdg;st|F*L zYf(dVL;uAMYIuLv8{()81#C6j@@a24lQT{WjHTJc8kB_1z2C#`bd)GyS2bg;Nl4`d zJkXb_?>b!#=D`fdUJ=|Wr|Z@HJYn##RlK0p;8-a*2+V!VfHDsYmWkX0*4|m|bXRf9 zTNIw^&S_ZZ)W4>u8?@D=PQ@nG)}forEcn;fG(6t*?Zto0{c1S(rufG%lnO^K7@mI78G0e+mou=7+xTFx`P2!8HeUXBs#L z=r}wdcsb%W;5fikmc?X_+igE?wxlgbT@uvBRil4%nz3oCr}IGz5uzj~n>lrlUd}D= z%NbfFWhAdqn#H!{D zJ`%>-B-jxeSx~l}La0nm9+jqPn2Vex)@t&Y6hqGge{Tmx&;Xro7;8h=2F%3!93*}V zqLF`zQ}7W#tJaN2iX;zSALz^IOt+yKH$Po{pw5S7nt{6GwB|=yeCAbq>QT-?Xz@FJ zazGw@SV7mnFXa4zx?whBqR7s)O=Os-Y-FvDv;#bjPCJ?mi-5fw8EV&vvfecACH0I> zPl!x>1zu_mZVV$^Fb4Hde$QzOG27x9XOe#&xr@25&*r0}iZX}14Iwt0`b`emf{@Bx zs0#+&Xg4LR7I+Q6_uVB5r7{ZhGMfaO&YOS);`mt`fe5nu!Dk~=E!wq{dmUZ`C-LjlxK*AVG&2P*rzxW7n9}( z3>Yk<30pr{GWZutbx5axr2mCXeGWNK%CO=ER|L*~j1XJm0O$Zfg;|`98Mf&E;~iKi ztoruV7v%%u-t|8H+>I8va1^}ye+hs7E3q zR%@OLZ{D&? zl4UiJi*Zy3;&UHk82CYppP;1Uj8!C_ltBb4=cCpR+Wpyz{oMemb(1lFet&=aSlqAT zBrG94QuOmNUh4|bQc)rI2-5+uh-Fwr@;ks{R^r!cQ1nLC6uh*EXa;NLKeFbBhD-p8 zM0Qs4#}O7g0mkbHW3pr)^iWAS_3Dk`C5l*N3H?~9u_5m4pl^QrI5 z@DpS=zx9r;?BI<~Jw|^HiHv=)V>R9Sz}KF`2nrr+(6=9sPV6Zu-3OtHaNtf4vtSfR zuy)G&l{c5}9TxxxV!Fp0E_`rAaAjBDqbomRs4NX5z!UMih>`$Ag*r|K$h~^;p3*diE_!KIi6`pUGrFUW6 z=W$Y<&x=iTog=5d-5S1cYSHu1taxRh8s^XL>=K771`3Xzi-o<1Mtje9RO606+hLk; zyjnf6bP@bBya}o68ogj>{l(4kw(C@5yy>*v0G`T#E0$kB37J)TKI*128Xc+9-;VMn z(PeZJK1BtT7bSlejaMjV4e*c$Sbs5U)5=Hyj`yF?i|0G?(L(bdK>L*?m*-oVNiC*W zei+><#gk6{&V*J{RQaB5S#g$lXH`9_DQEb+rkloN-rjA^?lN+s9Q~P3myr$K_zF$v z4@+4tH+~sCePLwcao2BFH$Msy%LuUhJKXOIoq7ZUXWf4f9$Jg3s|uNKBJ3ljVH1@4LH*5efkWW>fd*jlR5utrb1K z^yYY=IRp#1gzT|a<_;o2B6vMwXE#kI5+vX-wT5K5N+Ef?Kfk^5N}}f!Q9xPkJpD2A zEC@Vj2hKYo9my~ge4Vzp=2R2-6W7yCQB54iSD{l-N)(pwu8)Ls5yxdH^J1}r9g>p& z*NLLppf|TK{sSkxx>=V|4+9edI5d$F69Y9gHIrc;D1VJwS##Ss5`Ldwp|_!{Y??TD z`OUF2nek3iN#xxeJNp1ru!UG6H9X>Re*Jc%8x$o=vse zUE3Nb`+x4_KespMzo=wZ#$_fme2s{cM8O`(Ou+l%Op94o;bd z5s_)yf!AF(;eGc_OE>+}I=*#v=N^{$s{Vdh(SH+FQ={NJ{%70H^scGB4&bc2C(g?_ zD;1siX$k7$ce>u0)#`cNcJ1gJG;U4O%KA!}q+I7{+xV3GMn7rImfYPy)BADFy z?|)CC)^1MVy;0NlC=k(;w-wKBVA`~HL8BlwHD9Z$8AvtsEGWZI_;)nzBaJ%T0mgOL zv=$7$pv8BDqTM$>*t%j_co~}^iT(+;3ZF9XO>g;g-ZThBhCq#;0K+~e6vT-PdXTeB z%2;L@>ENAp@M^%8mMLwbWj1bt_jCAI-hT&&<32g;15@KxG+j6RF5{)oBn>CxOwpO)xIZ2zIN zKqL4Jz9nV6rIRDTz|}|zo>oqIdIKI|`k~`7__hD~#ZdJuBJSEwRpTBDbXrhs)3F+} zaWQzB_l}OqrlaY8i4@t>!1eqd_}!bi&4mBelSBmb`G& zy6-0`9ILlPf-)k;ugTS9)CSV+VgQQg z7T>57lCBN9^dpPbbb#UBRQ=G}_LLr?z2SxbU%z7l42^EO05?oViV=Jkfnww z#Gw**^-&I`frjzkI~m>t7JtP1K(%;}6j<(3ttWq+3)>K>@EZgD@!OI95Jjq>tOLd0 zoqg)Uqr7LcfxsLhIXbbLoHtG4RIx=zryY>1L-vv~g>{w_jV(sCw^r~KFW9qD8g+PL zn%jCO05?SoS3OB!vo0*U4o}O-TpS<%LRR`bQ!Gc$xM*2%z%8zu#b_yf{B!G%jx1hjR$DB2ne}b#gUNAPp-n z{RV*RI0ucPVzuTZPR9EVjr*%y&2*+>-u;t<$cD~U_zSVuvjQ&gjMg|x5Iplk{JCj{whlXlcM)lT z;BxKLB3BuHE$SRbs}~CP$Vo*kwWcEmn>afLf53KDUWgo(E)%cvG@?KRD&N<)6zAUn zV!cMci*=u5r&6)VgI_o z6i`KPc{|){Mb`5XZE0gmrdyiT<|UzwN0kb^JfCtY6@NjD8Ln`Mm{yMlvLy!pZ}q|% zUNORAy4)KdU88TGNuu(LLYHXIBHbEBqG2?AO+kjy2e}3uf2NZHY9fwwmmxFoRjLC# z6T`q(kQ%=|rR#fNr21k}m(ev#uU2-Ox})HRCoGTsS>Vcqqk_50=-s3S;6>|ZWvgLj zS{izYK7Zcoz^bI}lJwEy}T8hFc6-S!H~rkV)j@ABaE9-+!dLt{)c8@*BL};L4tlS?Y83 zT&-M1kDInZR8+KT>0|t&CHz&U4bUZgK z%@`*G!amy0nzlmOl98n^;B(W=gDb_}NKtM{`Y>Y@30yN-s_ZX#Ad6x&G*rl{6uKN4 zyVz&!^k^tlSs7;u7Z-00;-w&D0dBTY4y9w1!>Qk$K{!3p)Fn$j6k%)_y97m%1}GNM zwSUFZ9p`F`*-smm)|L`TF5^MM9|JgCa*9oIs;*$>&w;8($V|b;1aF$@IIh^UF&EoE zcbdmp%Eg7*qbn@$R@9YQx{U`1`rDQ;awd!rEwI{Ik>Iy_hl%n4mz-!1V;oZ+h|=^z zX37VP+z04XOl*&k@b%2Y=jO;itkmXX2bXUL@ zzSI}d)u&Usd1cxkZe_+U0AwXRb7Rb-FY+6h_LAE|4M9x>0fi=N_@I_V5zCUO;>Bq37cYcNK1n(G`PKS>Ejh=7>l+BX_1aT5jQ%lFHVm#jA_sp+7=L~VeY2j% z)bt9REj3%+KWNuzDNNrm`6KDB_kbXH4~;h5iZ>5D%}ueAlAk3ee{1A3?5~7$`;g^R zi7F13Z@4YfZrNHhATVn?hzUJS?{M1y3%w5uz3uY9U~3&^`ohO*k@FsZhls;y&@dY^ zSH#SS2vsFQrpW1ujNEAPMx12-G832hvSMN+6(h2-*~ zHJhc6$pzXEL75fN`?2Q+P^ce#3c+c;R@~#j8{Z}LnF6QM$U0}Wqkpeo(ke%DwxueR zQWO<^YuwoTfFTq*+m<43R@2qAz4Hx27arutEEGG~1hFrv0=Zmb5gn4uFZfGT^XMC; zOS3loBh(S`joFwwgpXa^03MI26@Tvu)bw@PASQ||dUMKGgDod0mA|s!nrsPoA5Lk; z!v@CwoJF=@c@+MKiGMRNFBmCJQ_mbA1Pt--5nXsvUDI_ML0|){%tv(PTXez75nYG; zOh7i3CY-$7w`Og_k2_-_ctKHm{29@%EP;B91aSFaxhWFVp6L~vev&}Y=urF%AztO> zo}I+Dw%_+~kwTI#*iu*gGhj|>I;5O)t||!Hn0>D-2iW(tVt>ytJ{g^aYJT`RaI1GQ zS_fHr8&ccacW1_JuobtHvm%>&GW3b7Cq%sSr07#vT~M8qoKvf#{S1#sKE3^Za#lb! z^TL{$k~3h;ILkQrD*^F936evgSVC@sl7Be~b~TF=6V2lAWs2jU^C8POW+{gS5m(CiP!O>pP&Ae_hXD^&V9wp; zoh%k2TKgH?%>xpD7;U#4rg-u~f>K2`?QgtRF zsXWqpDlJP;hy>_&q&{YU*n^XBV8uf+0E>Mc3W)n!R_f}AXprY`r*S=ZQE}_WqCk{|9 zbv|1tBY!($5QHumMEV|hVAa*ia7(5&yN}&l1K@W*h(-?{HIs6dmB9O)3T^woiW)_r z#z|Fx(w+1V1@v1EtlLZfPz33p5JLJ4P)Lbpl*#|B3U)F)$W-vl$3LGL@ukqfqMT_U zH^HtXvQe{Bt?;~%xqGXY}DPi z8%=cIbI*N1!DK!OCV%}Q(Dv2M4`;7!Fv*6F#y@i{d7;kX(ymkG_sfFmr7t|)+%bFGp zCt>D2P_L=y@(3PqZF6#piL#cp<1^ zwKzy!)$`L^*OfC7FX)XPZ`+E;p?BB1Rrx@|roERXcTFpE{h|~}RnvmLY}aksyIX9# z)ENk7Rnb>XE#u}+THK29W^FSsb)qeca^1_$JRRm<@8(Tib$zEA-8oniLhWhfn^d*= zt{K|eEpabaeudieMSr=fYP|2t^;OY{(8SX?@J~*oD3;Uq{kof;oz0rcZ`%2p34CL+ zkM{Y#AiKX`tJb!#UInBJ~Mq4(`_tceshcT@2@wRf1tER2Qrtd2;Kvo6>H`Qq7Kc8N! z?7ib_q|0*MqT;*UunQg`K5+MLu3O#g8otR!!%yi~>D(|R7=L8b(fC)*vMh$BYh~H2 z#GdojFg{{HCdX~0f7pP6Y4k_!$7G`+#edp+JZ?VOLGxjC1lG^3;_9mS zYjvv@gxil|>s`H&_Ilxz89~u1(y0rkTI#)137HJFba-l?axY0IVqm0RjBu?orkfG$V&PWO%+=Y}|)Pu!N^)2>uoBHlazxVLZLPb+af8d4p)9b+SQd zo*HPM8X$lg;xouhK#ea=Zh7Htb&xRPEP%FEvA1XXd*89y9PeV%)R1mSbwyJPI=_&8 z*~q&g=R|@}k2kcWA#bPto8=#>xg10(5Td?xD}Q-f%`jIp+})<2hYs!`DhwmMYY3bg zBkvjp2k~s-2jVF3lhK8JAx0=G+Nx~HzA|zMQ6!{b@=QsACa$mEez;^vW7>&K4hMrR z7|EDeBCHwQyp(ySUJ`GV%+SP4_t^DBA1hpHn&+P3HuK(c1k`IpGaHKWk(3axX9}L_ zGJk}RGfFF~ve#f|246LQq5T_ugKiwZv`ZU{~zn_BZL5N8wrFd*T?(?m6MjOK#SoE23N1aS%-7=!R2-qMEWug5YAf3DLPx^SD1(zp;xYUjJrwBy7v{JP zyt~r%LtCo!VZm`VdVT9EwNH#z`byF4~f}ski*Y35`Th} z?I!$Su8+N;)HU#6Qxn?k7)+ux^&@i}B}b8ClC!V=-2gkI(ET*_eA0_AzjYi#;ZZ7y z68MQE+o2L{Zj+GRoK39A9N!M4*DC#mvYBR(!G{+z$*@7oH-(mAL+lOkD0CpDK=M>$ zNNh5fJ)9C`)dMC_sjOuegV~?1KYx7|$x2D3Tvp>di8d2WENJGc%u|y>I-QCaWsee)plOPdvqH{~+#E39Eo(d~R^z3-5G~4r3yQsO^vjxmS z^%hEJ7ZoN(e+4%VPJ|_9{5SR1{I}!3`>9xf6Gju8!y5;x$irCqT2w0{B0s-{Hy`m5 z=D^E7V4}mBEk@uiKTI@J`kA?A>5#Sx)(IxaS>C@V6i{-+6@?W-VSl&Ajfjxr87`Gj zjAsgO{Q zsqHB7*c7}QDBo6+Q@|my=ZNA^sB7zB*cXj68($^4!7dp>(HZ>V%Qa@#%c>Zod|Fl2 z@*|f@YSfpY4wL6&F@LEWQ;to{BMVG21tvmc4tp{i!%xTIpLJzlB>*Z5;w18A)|X#9 zPCh$@x_r->*@)ujJzs_k`bCrH&u-NX}UTYA&HRZC^(%R*idY4-0W5e9Q z=xNT)QBC<{*>lpZ6}QcnwfMM|qna4W@5Y>4;vuSljc>McYJUQCdHCWj9Cxe+I+kR% zM1Sbcqb!btGr95h?^xSJ)M?3w^_dUV62P3@mCKo|`Y3W$L_B8Rsdq`i zX4}*hm(oH)mw(z6A%{?FOB#dMMNo*|so7BQ`s< zd-)Y4-P#o;!H1SYb;SrR3bSTeUGc$dFx{@d~2 z!wethaMgi5$nc3hGk%nZSsJI`q4o4ACPDGKT`A|vkQ|L zG^J+uG!+<2AJL``W^5##`-%&$+r)=J(`hw~>2}A-$Rih0Mx|Y*->;e>SUc;e>gvU~^qzvN(ejWtC% z_V0SSDkfFNn{+HeH8k9;=@~5Rn5IV-h07wqx)Kvpi~o zyX$^zdMztU62qlL_@{TIBkHiblyG8`z(?SYt1mLY7c*hz<;B(IjZCT?q!O`6@I+#% zKaU@BNYsBX+Gdz9WQT%c4>-rF-h?Yw11rovEfGAkL-J=v2}a72^c_hfxb9Cn!q8$C z!EAcm5!&E*+27<5lIi^a>qDVI1P|W%-}_K#U~sU)|MG`ISa_Bi#h_ITnxj^4;us0I zTK%6hDx> zUQ%YyUEzX8qUrHLR*3WqD3OSs`eFmC-MCvf+2rW@y#g``m#H%-9uM6Bl7M6kJwP$* zO=eEJK>0%_l#i~YcX-K)3J2qNADc%U4^ZV_Yf%ifXK9&bU@e8c7S&oLbT?G6(z}6V zEQ^04RU>9fz;0tQM$>p9k50R^llE+>E|+ z25BCD-2yB#dn6Yg2Nsej}$yMpPL5pMjje92Y(fWVKiB4&6E9ns=BJHY5ea~%4=h^oMgOJ|_ zYVKSY|Lqa<;SdMBkS_>sc@Nymh&~?OGhXV=eDPQ;o83j>_*Ee!Lf?`^=t(I)^fbg9 zY7YIlYAKSAqJ9j=uiJZR`p({#OmFo(NwirwL5Oc-)s@MEsf}{^dJ%o^GdY!P88bX5 z^s$^jnIl)H1by__1INw+rX~5&02rt66H$NY>*tKkf8f9`<^XUy0j>Gr=3AV7vgq>W zhkpZlFa~LtQ4a$X0yH?6?Oy{Y4>>RjFHB`_XLM*FGBq$ZlVKhxf6ZELZ`{ZY{_bBf zK)hE^C$HPuOEnO07a5EkOo=8Pgo_D} za{!Smp2F<0+6tf%B{4#sO2|i45(wy@N(NDkC{8h>tqFuFpa!RE@2YrQjkz)iW3J*f z8FP&wI%Z6mZRUyzbH|K%axs}PPhlhQcu7X!sTz#HQ#Bfaw^w7P;8HMVA`r$*>=Jb{ z8xc*l;!?MEe*&Qjty6RF%w~f|z!(+lW~jJim<+>QOJ(~Bb{V>#V3?fD3bLzECT1?KYBiqf zYBqC_;A#~J51A;yHbEt$)F`uP(pf5m>^Zr6_c;a_g{e?8qV_APeXZX7kw zH|xDSIdRQ%7#$C6&n?U<9R`Tau%yEXt_t%W28d9IeTNa8PQx%L=3oPj;J^nacqqKA zr!C&5j>Za_m)p(qw1xFS>}Sti^J9Cncb^r}Tky-p`}PRyT<>8aI|TFY6=t@(&GmNK zf9|>{+}-+nd%jwHzqxUpp(lihTp5=8a~MA<&=G<+TpDRp-dJ-Q2n)Ef#Iiq%)?cN`(+r%;o9>Va_Yxv7!Uk8597mpWfM;YWO{e1US@!$*#K`p|0C;IvXd%juu&Gvmm!6R1Jf96?u zdKyBg<;kt&`L!~_fyIzw%pSoI$WtJji&}jqnJ6PubFl!nsj>(`zgVb;^F0QH===z<8=rPV>^My-f4^9+u6%{4 zsKci3JxVqoP@xj+HI*LYl%S7E)F=^Ej=`nk)2;Z*DL~saqo}eBs4v3|T19lSavvC= z*J?C_$d5@>PU4Go92ha*F#18Or~xxi6IJo2k%$P2N$pyMXHY6;w$?+JX1g{BqLe%$ zK^gHg8q)L?Sn!}ws%E}rf0CS>-~`R`LwmKoS$#T2isIvoi>q)kU8`0#z>83|7O%Az zUnU0s-$7id3donOt?G&E7wsl1j;4tli)v^V+t;g4o&_~B2}znkwK4f*{o4qn9h0?) zeHD6CvNF(rfL8%Vp>&L};I0!K6t1Q-Nc!Z}>lgpT>I305$bl0qe*ghXP!j<_!Jc3M zglW}f6tlU^99d&3_d0$>9@d$;!}lAVnR|Q*%dp1%C?8g@T1NR)V0!ydt!aq^*R6EXMKeb|{lA0ZfFdd^{I7a0N>ep$he@%gK5eGfPevptl-%7TI zC^I9Rc>Htt`P1bDaTO5M&I(C=v6dI$DSRj~GEGeLsg?@VtL6BY2^E=T4Lffwh(h%X z)J*_BF-}d!RhqNaS#x%_IFCF--2gxXJFp}2+SQSR)Q?0;A&aO0v#@eJ3?26JINf)q7Z`SX}wrNT&hJnAY0km zZ@>>Jb-rIF!$eBWg@1S5URsk7(3_=9suK{PQn0pb^w!))c@Uy`KJ1m#Jdk$PF1J1` zgOoC%Szvpf6Vw{AH3z=5xCuog&E43dGD8c-{K&E^e{wW3Rwp@Sc~p`PwkpU+C0T12 z4u!}s2@#)Z4qLrgv=F!JXhSbdG(p;EZ4F4th@Po*$3;mYZL~91nXRaWRuK4tPU*uc z>f&M^g{sp&Hu~Ir$NlMTxFiiBfp9@#GDBCZRNsAH!>O0iD&@&t&3R-L4gRv&4rqvhMPs?lqf|Jj!<{3`hBfqHL6}uZG6h z4j6xwPm#55e=+wTieDGA3T19&b98cLVQmU!Ze(v_Y6>!wFfkMaF)}wclVKhxe|=U> zbK5o$z2{f(2+c?kJ_r)j%}(Rgj-7FBP1~8e2bzQ>#1x?+sd(&P-vt(wQb)>#0CpE3 zcHi4wuw<36$MfZf`GsUjL5oae$?_@5In5P^fl(&&WLYQw5Gm>8-{n=pDHE`b zB|PDbQ>}ln+koA9=O#0eld38Qf73K}GE2227gIl`nz8s?TQB@Lz|X$>kBPSBcH6nK@}f0Lo?M5MZD(p*4Ypn3A=?Qjv&oE; zRRgov%E8XT*fw~|Xi=!WtBmGcC0U^<(*j-fmpVKDcph&hWkz5tCu{p?e+TPY6z%%( zJ1G^}xW-hwrtJ2{LX*LCa9K_cJ06%!O;h(2E}3d_<#t``1L2QwPiS-F9kF}y$FLMl-GOPrvWV5RX)lFH;;ZCYqBS&X-a4xpX-BD+rJh zejQwf5h)?Y;QOs>2<0}g&+Gx=IaCdj!0$Bdof6oPknzBNrdV%T_ zh@@I6HV20|C*9v*N-Q|^eKOO89?m$8k~)o2Dyh&qrZI5NJE9o53J54p?%c|BQTW>p z$|4Ffq5zsd0AC-}VYj)j3{pJA8}jc5-E3np_GRlGr~<5TAY@>Kup6w2f5TXUR#Nqh zBG){X)!=~fF;}&EfA5dv6ylHm#MCn(_}-~QQe`ozVir}S^s#w* zK$`*&ynlP$ln+A5{@MDgb8h+_ao%~xKE~CKcLiN5*T1$@Rehq1G5*efbjKe5c)*$LLUvk z?NFTj>ctN0qx?~tQI*F$2KE2~k7ZM~m8r2H)oxSTwvTmY>HDAmopIPc(vj$)l{OXu z8LQUq&Gp?Bwc9P43*l)m)oE_#bf2Z~FPkZvMQXz1f8a3?#^UF6q8i_vY1p>GNyFeoi6

T5o zxz580`xkP;ivj|w6aQ$WLMRL=|G(9z<%j4d!I=mc)le})zg3j&yWrVRxGUepF&(E{w&s(}^?ivU*GsT~Z_0^W8cLx4Rd3(lEd|cw=X0knFKzrRl;QvgE_ZKN+Zze4Lym`iEeOD7!MXL{*SPvAb) zPX~L|Eqp9_mQV8HXg(ZeY(@TNSe98aLz$_zf6uSV7f0o=%$TeW2FZRtE7{HtOZGJt zuj&-yk~c*@I?76R3>ka-EP0n*l`JB9_kEs`@bhc{rL!`dl?$p)#6Cz4vqiovM%kjO zcGc1A>}))InqRSFfdhwf;8S%1HNyhDjMBQI+nvpFh&rx{HDRG*UCmBh&wh38Zf3Qb zfA#9St>#-$E4hQ@X$$cb1pk=}&{ctaj#(1>YV2TGMt<_u$bZr#( zAnK&G#&PfD54d2vhaV1p=h6$yg%935JZr5|oSuPFa;mN?=>INM>Pyb9^(A^=g z{?(vE^~a;9k7iYZd&yR1u$OLif3N%KtoKlB`{`C0{GYVodSEP>pMRbg=cnvA>Pq&q z%kd~XeDU;zT~j4TEP0W?%khalT4YuDf9CQreSY*wdxxL@B!t+d;gp624J8c)4MQ46 z)!F0i64j=}qsTa>A){dyWmjjP84Y=pzKEn1$YoQ|HE{<%f4zzC*NEyn z4d0@iO4V8AiVlfpQ{q7jr~# zDP6X^Ez!PcMz&m6UgNwuc@=dHBb-@0J6k6`jK?+dEV|%UY7N_b+-H*CH0f0oF^#MH zD+pWiWg4xTL|dkJwW>p3f4ZsfISp4)Sexb>hrf@`tw_%+f(~s`Y^pnKMrj!}mGSIG z9cH(_-)rXhDDp4ja5pc=mQwe$>D@Z-r_Egax{l~|WGW+ley2hqTWaH*D6NRMrM|;8 zjv8Rr0p`}l?*yZNkUx5Y+XbPea=wjLrCpqMizln}oOf}$Egi2ie`B|cv!yWXM`MT4 z0T*2|TJHYGSTqm1IMXc_SKwcEHDvKa3fg+e>x^vF=KW?rUN#H#4b>mb6#v=3~kwa1Mpol@4Nb#YAG@G zbM&%Vw%1zYhKD|Hw6m<)&g!B)Z+XUb`o;A=J!_1&-b;1ro;G7#C*$`n)qYDIy=+OF z2dD{McW~6yP~7`TrqUm0O?LvEH8BqFP*$f+maLgG_2a(FQ$Q`cvblc$WlisG)~oTh z^var*r4x+Y(n*(12dqKplBTxAZrSoiD^@7U7%kTg8{PA-X0Ne&3%pT$NzJ0PZ_PLO zS+lH6|6$qG*Jbl>7*R?#mvKx569O7*n;qM>Z5tiicG6+Twr$%^I>wv6^PRbO zX8rzsSFNf~J)6(jXP;fCi1B3=sQC?T^o>MptR1Q8Y3Mirl2Y8KF+QiJ-i2Tz<(8kuy-ps_*@lOm!YU)3c{&)+} z03`GbENomHEX)9U)`kEH8Yvopw2jNB&WY5#{C$tN?w-_$-`jqPo${z?EKGj(*d z<)Ec?adDwBadL2^v9ULyv9<#aSP`d5HI zTLO?YGcdAtF#6*pV)HMh)n_R`oj&D`{~`8S2**D$E&pW>a4<6ZuQaB54uAPd%F0Rt ztn|#R9gVE@tPMU59rYZY900n1$v)pkhNS-@Xao>+vbX<}L+alu`~Rf*H+2D<&y{If zdU)x7x%}^r=~+8Dxc{Rz|GjJj8*2wM2S|7T&dEqz=>Kd#MNogsOpF`> zbO0kefRU?#Dea$Be|5?qG5sI$X9>JKY;9}-#(I_xMqXydMxPHT4+lMGBY>m5laZIl zKNbItpy*ivhGqtipH2RGP@w*bE^cjX17QD`_>;-MRsXmBWPcq}^3M}$Xk%^Z1~4># zGKQj+wsHJy2D1Nu&e;Ft5^=J$l-9E{BKz-x{;!pum6@g6f7|_!iHgx5s$~BUXEO&8 zGgl)+Su;li(|=XGgf`rMJfL`r|ok>zK@ehwY8KQjwJP0z&gKf2Fe zG_bHXa&Q2!{L9Vgvj+de_p|VS*aB#O)uhy=Rn;l~r(OOs61Fz5F*LI_0WdJL0QBtb z_1vK7K6`+HnHk_g|JllhMy`J~34oTy+Q#wI1z_vs=mjvgv4{Gzku1yrTK+$xe<3yi zt4C|3)kTTFJi=D}Yw&KZxx!itOKr9zZMiH~Nf!DgQV6 zjH&Q9V*gzCe-Qg;OufI+Cr|yq(Wj-se-J(0X9}Z#z|S1U|AEYZkd2f5KlGnjP5uFy z0JNt6fS>g-`v?3?Z21rPnc3=ZNdLK1>%UWdQnvow>3`@ync4gUesZz>2mH+Z4_@@2 znH~NCKTGWR5BM3}=^yZuh|6Dp@V{F~_RsA6Yc$aP-BbVfqw*J4aJ09vFj6ry{QN=v zhl!M)qrI7{2HoemrvH?GzW)79>%S5Z|2>la;VmFwsO1G41I|G6GwCg{Ew})s(Gx-Tw$7(WhKUcvnXgZOiaPZ_ z7mf_Ue^hm2V_7MXS;Hu~`c>VdrZ0V|6vt(Xv+omtr6F+a51Zl}X9y}umwcqqvRtjp zH}wV=oXJym@+>epox=&}1CP*A!CF^{^6(%d{%{%*TFPCED2Y^YQE!Z55u@(ugCj?+Mna63fOP4 zRqn@m-=rdqSzuXzlAzxlo2<-G3_K)UPi*8A8^O{7kQhBxbS0z~ZF`e-rjl=h{p5MQ z02Z_{jHPa&`^3=U^1k|n&NvsfPt*z5O*lvh1}-TOvEVFg*Mt`2!QSw`gs3Ke99ShIPAr1hWdpxx2d4Hy84H5ztly={vL;1jF-34C*&Q(^~s4u z*h=hafAGaZu<84&_SW73Gph8%9I2v^wj?y0cQN?&?#jnah99HbH3+0zYAPrEeOF!g z;`|3W;DVfguG3x$wxFPz;{;F5R(^oVJ($L#x9DYp_*u4WfxK)Py^^_N|6KkrYRpp$ ztCT-g)fLA>fyr!NlXu@LvE+b2H9PDZY5a?JtY~{kl=n7d3Awu31`EGun>Ym-kl4l# zx(8RjFzWKwl{gRD4nd2kE8N`7`yst;r!^NqWWmIL1Zm0ymsDutihL^v3Lha~rcZRpE@I@aJ5z~03tju;@ z(i%^HdC4h}smTNX7~!&34Fx$zb2h#qk!fM)9cQIIun^+ADg#J|c}ulx;~e9!0Ml7% z)o=6Y&-_XH%jzna^Ys|9G3g#(obhfTph@na$_USZPf~x6^-|-NY$G5e0KCMM-z4we zhy@!D9N&U=xVGL1;A>)-z%EX%jNg?RV3u=!qAZW!fhw$2ywR#ND zWJS~gZvXgoYI%bq1Sd6lldy$>nx8%0zPM8X#Ct2-P`KE58Xr&Cz-KI?4OA|Z)LBM< z75*b^PWoqVfkwkw4E(-QUath{q5W-MaBM04N;%`6Xf@ZjK&PYIA-&O{_6{Vlv zIDLev9obcpM}k8=@CAGT`0F-Ml-HDht1D(Ubv*IH;bjo$dot{b8O5~lBSSG98Rymn ztZxjvZ=Jra}^F!!NCe0W8po@+5(4?TrE2$*0DDanZsj zej;c>{3PCrxL~!_CF42u@_ZRToV8^nyKWSvyj_NX7*PZu*5qx7YJxkRqMu6|TsP6p z#j#T<>GT$HsYHN}At^ft;h(>(4L2R=2_r{T9KMzNuYBKU54Y~#m9yCyZ ztT$b9l2oB})7oG4QIIm3d=eKu$z7D)IE(cICSO~fp*+?OT7CJQ^N`RKt9u0!go z9*9S(aevvn7SMUvbSw8-|Aoh&*x@#y^{dk%h>V`4Sima>*tU;Lwd6l$d* zO^cQCMAc1&^ujtU_f^|YYKd9wmvvUv4`bvO)Onn)z!@vh7{$nc4HK4-tS=NuG^4-3 zE!?{Had#XR3Bv>wvxsKiSVs&Y;Ud~mW!A2PVFrO)ONIxa2Z=#(n5+?4*ESoHy2;ec zz-G#5A57ehjyo&3a>!x$l6_E#q`(XKV?qzlu&XUK+lO|$Ap6a({H_tZN}1TnRk2Xu zfy5O9bkpv6(<{1vW`Vr3aM8!|5NYo$%woMf^MP|aP$JCS_eh~SPS(SOYnkf3ScyV*e&7gFhCz?Y!6e;8|N`tj`xf!%jwb6TB$(SnEsK8J>)sm zZe_^jk+?m@Z{BAymk0tYu9o^tFDa`*=W)icsamDvl4u>%h+J*m;jh1vqIN|XZMLrE zV_8UrrLkK4e?O=Js*? z3c0~Mjq5PQI43AQ;`9u{tl<5XCFwIh{{3+4+Lto^01#=U#BXCqOb5}_Q{=$r>UU*7 z0S zC9(jN$_`x8ByUZ{Gn-aMg^IGC!Rtg1s{3p7S_BP#PhkoxL#{4_>7K7vxnb}3E&vtB zb;NlSMf)zQYC5|Y6~1y_{M_ZE3^6-t zFh_c%MU2xV;|6aRVmk;sdfnF7IfSN`$dS;02Q1?op*-02l~3QLKDI$tfpPg0XHqcmd?xn*4Lv=(zgu2=@k77q+O@4?M znr_8<-`sAe^dbN`^9U{#8=1unUvTwPcpRIX;c^`AI9hb*GwJhoI5w=H;~;Aj!PZ)T zp(f%5C=54_ihvxx6V!^_2AASyYkPxASP2gEE6pMjS8UXo6#>qFqzpdA zf2ADw9n^sT%Kn~Y<)8X<>jH%X2aEx{xSMfaG}q05PJ7Sm>E$GO1@y&*G&v4$a1U)J z9pgd86Oq3-hAU2@MWNu=U~kMF%cvx5N7i{h4@N=p0iIuYm7DQd5|AWh->NKq?hggr z4$#@SJ^oaat$8zzC|ZT%mc8PCpRrW<-0*C`Nbl_qo*$Md0e!MDC0Z^zij6~Dzc1KBxIYgXHcBh+Xo@Y-vYCk|gXMitwuGcGm&2gP@Pyg_p$Rj6flXf=SU zl6O&ZCc7$YSg{9w!LKID70Wak1-OAkyB_K1$U4X@QQ(HC>Z~)A@58dCzL@dXGbb9{ zJDx}mYe{N(+d63u==#$*LCPyCM?!JOwgwJ+ty`D7xX;rtx-g0Xb5(4 zm7a()VLbW+qErokmxhA319auj1czVLM$$pbSw|h?^1o2_WZ0Q#vau~DINgPk@u1JT zJ%t@+QRqeSB1_c0?tiE0+q$1Sod^wAAKmMN7*X39adlWRBMU1sv0F(vt*&eycvk>_ zen$+TTXm>^a-GKTD}0PE;h@8-+@zkX zZUu%|jAEQpNJYpu$NrY~P48A@WL^XMQUu#EZQOz;RVN;FEN59(z1qC#>xr>s>2)lx zvUnBKjb374Z)biI`8v*^hP`#BOmM<%!AVUkSjcy@eGJ;|!+}f4Ff@viNP1rf^odul zIKmQpM&6u%tT_7$YlQZou<*Uu?YA$Y#Y9yZ#y|Z>gC&|pcU1|$(r4dx%<7v1_xQgz z{o*0FNAb#PN6+HUMr8bmDEayo_^HhqaqVfLOd?ng-Lpxd-Kn&6Zi8{$%8wfr%5H<} zX$D@WKx^?>PA0k+Uzzp2I3Kh>jsdJ)d|cnvDeY%}9zuw-1ilAuqNfk@3vJBzi23Kd zro(OcO(!ZLm2pXwAw990>^a`|iuN#a-s{r-c`kRcR?VrixN^;WE9h zTTs15K~W~8^F#D87H5;#D1r-|7FP|mlEAxtOA8un&7_u+)_ykZ6&DjAD1AL#8~PP( z2>KkeASDm$9B62xI5B8G9PIi_+L{A_JK8>fpX+pCdD+2{Vb~u{dx=VT#zv`|5$XCD z9A>P=Z;a(pU_apK>taq%Jk-T=dRes7S|wUTJ|n(xv+Guyb6GL{%bcH(6h5ozoJFnf zT|I8Kl?(O-Xj9eU`-dAYVa zEAqaKu7#+mPIAFi8B-YS2QC;)M5(;2UMx|L zOE!@_dJjx$w3ZjkA5+BLJFat^?^zbVp7aD3W9#AzXFK*Eb$BaRvp(8Oe`oIovoZ51 z$&l)N@3>+bWnLZmGP0eP@`%V6voo8WPJ@sqM#$(D_x_fVbkg&up z=7|jZL+$aP4T{?wzf4z=m&vw?w8g6*{q75d#ZZ{Hd87tQz;GwKb`E&jf>zgH039WcPZKQ_K6{uU^}f+*Ww4+A@ie!qh^6L5ue? z(HH(m<1YBjxNMNsRT$^7p5lWd&{VjQCBfG6daVj=`804%20hC6>d|}`99_frsFLDt zlzB~oe&tfms@Y-a@ZLuu5+tLC6P#hpWMWrKzZAow_f_r_9hGf=nJdoPWf}u<7Izi> z#3teB%TuCnil=>*ÜJ56biSd+gOlqe09jNi(=nRzFa)dhC@4biD3f-E{ponDDR z%;2|z;o6oMdm?BLw7o z!!JPHhi;5*LcR71c#ZE(En|#s2N%(`yXqwh@grb(W>)X0D?49?oVu3yl{k7p1com4 z7K-Yd7u-}iZLHIR)*i2PAK|zT6Xy#VxrOctF zS-IFUgIUlTDJRiuI>a@yM5QM~KCj{2VVH=ie0zD>xEmjls@5Hu$PHp_7&GNla*V52S>S{H@VdOM77_{grX>2*eNE>feVT5ehn}(`{`1ONB z7bQanu-itx9bQSdPgaoYc?3ZiIo%!6Eii34nox#A38H z_@Tg2^|idod3pG$(!^WEK)Xui;pjDMrK4HD;tdWd<2UwAf;B{o+D^D)P1qVjsL~q~ z(*W&}TU{}NSWqLw>_AEh7#zSTsh+@NCl7n;j|+G*^abu?_(e?Sg&Fj7K@Y+Wx-=H} zdzcb`3V*o{WxGPJzHJ}GSnEX0Au4K7>!pap)J(&iv|f&pYNSw#jx8d_P0uHFprb>l zR%U0D53eriJ7~0+mKaKsOZba|sjm%L5+NzmytE?9Xb%bLS~pSaye%XPm((#YgYFeW z(m@a!R7{Xf$id%^*AAaMqjj%@{QIyQrCWV}k3|%~rP1PruC0u&qIys#?3#UpckL<3 zR1oBiDGrPuNPgU8S50?b&OLISVhTRPJRN=U+m3@ov;lM7B_^r1r$VDi47uI+hy@*q zg-~-}i4Ls)ngUYHa8uRAx=@cb!x#*s^0gd!aa;Tu-TELH{Hjg?N!AkNx;ShyC@KPf zxqSSPfsn8+FNXs9HuNZ6y68eHONF;G>gTZ%6jOLl|SHt0$f$4_5zQO8S5_2tHh|^42(t|sDEFJBp|~}ZfuR(H)@3b2Lf0^J;^ok>Kt0f(!qYOrUJf6CbthfqiJ7W)oEkc zw_2+icD7hwtJCW!!DK}o)k?mdE%w~&iv;BTI?pBoWu~V)*~w4DNZ3<#bpm^Tf-w!> z;YRxC1`dG(Z5%)b8V4Szcx}@s;@7h#7Y|1tJo~5$0_N0IL;`(CAyU?zfxT z94>TFFwM!>GuK2Pt5EVZ#METIpW*^D2K3N*(faT?D_<~T6Oh0!kP7pOT64CRTJS#7 zBIk)L=DNscpln8K<-)m;|NQWO;<`&)QM$f?b9~3byTtG_;#W*jb7T?9+IkYwkn}aE z^HpnFoIdx3O<_J5Exz4Z1@tT_z!>MqTv`l1EI#s_XD7JPqoi9tbM=OH!w&?tJ-PiL zR#0?5-S)r}+o1&JWt25Q7B^u#f#dKarCtG<19MjP*RLf@Ujo~7 z9V#0OO1{cCyGrL|kX;uMnDcvjUKKSSwEy1-f>#T+05Eq13l zlo3GEl3r>Fy-{=;+t74>IWk+c#AJw}Po^pFO18iA<(8~6QN5lq#e*Q}fFjB&FnK66 z+odd?wa4T|(f<%KXj&4DoFOa(L!9$WQI))nDkHT6a1eRBFRl(|_M! z;0meOCrk_F%S3O3q)1hML*CRlXIeYVUcBY2g|B?Y9!CLcTe%T`Xsxy5S9q8f1Hx+` ztUh)}M_m+hOO#roH)K9isBO0i`0Cn7m?Tq|^Pb#Iq_wbr>O%3e!8lj7aEa3!zJsV2 zk_u@SQOpAwj#%n8U24DOStH4RN*?T@J80rv$Kzy}ebGM&VqSHc&)aHhhnO;>xnn=7 zLob#eq*7YFYvVe9;u4Xis&l|;C6ZTKJrSg!#)~hyX6V5DVNBmOFL!QkzqV5@CVa#& zOb~XM_TwNXXJrfHJlrMz&0@kSI{-w;r`BwtUyW#{Hg3X4A-mC+bntcRqnzRl_;)E7 z!L2C)*q0SXm{$GGWByYx4_*q;+D@S4{@U&VdakQ+@`~7hnOR2%0pH4+v+p$8N=UBK zzm3Jcp2REcsaTup2l($n2&gZ=MZUl|I2C36G{72;fe|IIU&baKONDLbD@?>{wV8`e zPkuAvg+-vIbQ?(c2#Xqc8wnom`}ne71oDvfHcc$@YZ#QEfQ2G#&&F#QOUYd_IN%q# zQpTM(!%)P3hxEp`Gv7@LMSR#~b`Ub%ZcNnD${z(`)Ce4S;Y0o=xedC&F~_Uc(((^6 ziFV^M8sIEJ@;}%Fs{4Olp4CNFZ?V^yvON}z2OJAq^ z)Tj-Ab{{)%Hn0eHi>r`SbG7G9Bst3ZMoO5381CVmTRtx!`$sq&eZW16)(XqBn_)J! zjoA6bn}<$);Nna#3ee1zu}YU;rX0%^Vc0f)wAwUEo=(1fSwZCdk~~jpa0-&w|8+n2 zIe|i&$M|BE@%sQyhM_cXm!aF(2*TaEh{{lZ%J4fwWuB3#3XlmKrn~ZQ$mo*;@{Pqd zugAJ=GKU<(NIR#XHLo;_oKOi7MfvZUuq5mZqhAuV;tiB?-~ zb3>_TBwtVhGqU+1m4kue^#=BT=r`_t$7YBBKy%8G)`|R3+Gn1xoF5_Y^SE?DxwU6# zev5nzgkQ~*Rk^B{%MxNk+svV{K7RCd@WA3IVTjLE9JSYhUqy%l4QsyCFFdiT9it#g z9;;RO{bRtGi&TxNlQALcHc_spPrt<*jBG^gY0V$Oy_JR+vfKqy-$s6aOaMb1*cL4| z8me~fS4cCr^ZEVM2+^#SN_a?c3cLrc4x3c--pE<56A4JnQuRyGhS$2FAz+c@mcGo# z_kHeiFPbEGj2H(44UL{8-7QIt$hACy^qF^V$t`fR|rO8s)+XAsxp?Cdc*<*F>C zWxO~(AUuk*p=^c9cPYDnigFeRKO!W3OV`%2;4Aj|#h$FGKx+UH8ealWE$Yb84E9#t zU`d9m35&c$Zg2{%=!&Skl3A}qeYJ6mlSU%Q+lx}a>>H;^4x~78VkCizcF^N_Phj^@ z2DI&ikyP{fBb_{1%a0*I;)b&zW*O{ccb!Izk0!B2+M%{7206cfUH$+<951mt;gNaB zS4;89yuflW0zQS-5Co&6KJ3c^lyEXqVH(dyq;AkuZmO*ANmprzpX|2c07^i$zdArL z0+ALSsX$p?u#*loNeaDfBhQ${VtkogxR_{KHAG(D<9Y7f*@D2MM*@=ap=g}J0>hqj zpb9kMED>q3=L>Cr7>!BQe?vs-CU0t0xE1*0iuuyYo(yoOqIbg)HPcA~B;!M?TFt2u zW|TK;kSg78hvMcsyc@;DA5rD;F+|{@aGrb_#yRa-SKbkNKq0E^I(la?mJE}l z3p4&L;NujFtr7Fgf_2JLBC3}r18klDwjsJHuyY>WpImPbzFe6f*95rC7gg*#HIqN7 z-X4Bnh<12CSP9Eoe~WQa9)+tPG|rphucXbg(!>c&yJ6ocxaYMtrr(&Moit({v7^ea zo=%Tjg&)szwfgwH!2)$U47G6(rEJ7ump-;G`f0U)Qz&Z692Q#Klffy4z zi-_DK5F%$JwiCi=8V(h<93yJNt5mDB%RezQcz~BIufx%nW6ZQ=2%m)ZD3@+q9bT$2 zk=x%F&=|>XfTMj2ujEi1l1P=qH-!<1pm;tKZ`)}k)vAvE@2@ntQ{p*6v_D| zG`NFA9>`xie-zY4(&GPh9Y{jF)oh0=_Ei@QFBcGT>Qf7BW55ca)8X9ZLVtaBN=tZi zAJ&e4H9d2y@`^}ON8qo%kix}$v9Kw+d|Duxk(3#WF{nr~2w@_x5J+`-?jCZfI3;@( z#V(U-nD-v%BpHCX%$2-XC-@!Um6`+0JxSUX-3CUEe_((FY*f#hjwv;~Y_fV^?#%}o zUU}M3@>A-GsFd-mkqqVqbhZ@rd?UNKwv>fV|IaR%Rs%HSTo@ttu5BKM_yEY0M7uhu zY{#8nq@)k6t63WYG(A!xPgJSmVIm_98%w`8!T7*AzcRHSOM8f(ZEFN8h%75V$IkSC zL@)Zte{9rwoPjX)Co2AW$O8>U$Gf8pj*;8|2n|SAsG%n)``6`Ry2P1)? zpM0(DZS9dI;F%1jz;{3%!RbzS#cdBMzg#G56G->&$?N` ze}Ez#i8A*n)JJ8t_u2IBKstpNa>&Ib_ zFAYb(wL>$R7e??2x>_&(TeYq=}f6m{`F~$eNmaC#F&QIF~Xl>wpzoq^5iYA9* zINBI{(`}Bo+N$s+#+jPjb3|8qiGXp2BuINRPVCsS>_H^kjwp&0Z#S~8iKsZjM6Z@= zZ=Gh>U7JupME?l%d>vG$800=!zM$p!;v*8RS2d#D`sFa7DDBKu0d>D|D0IXTf0j(n zgb*uRNJ`+^v&R2Il^^}pm$;E|`kPP(%O1Wzm-RzFAM2In9x;(@AcWUyAU|t4^O63< zXtLhi8#Brv$YPYqp-dwlfOs{a*7rx-y{+k;lP=!aiXEu?kFpr{FlM@$&1B10{3~)| zGpcZ>i=AF(Zp#Siz}Kc{Ix5o%e^dE5wD1oC4o(JcGb+iLr~`ffx8H^RYrJ;3^g}<= zvSgGSyYKlu{6I;I=yfmGr4G^RI6?F$;73O7wp5wHYv|SEq zLD1@?>_Rl8+?s^Zj+N+ZWqWVs8zMM_`U@^!*s`&Tfrm&Xi5lvP0@r`3e^RkM)eCCHU&GjR`U#<5AvPwE19&+>r)Jn$}=dDgFTCvM{0MtGuHVaGz67; zl(fJ+^vym9=tP8_>WbjQa%u#oyYZblB48&^ZQQ|#ySlCn3qc4#f6?R?{G%(q1uy$i z5>R&RjqU}JaOrGv@da%4%wAuOFCj=}CB?c^kG+ug{anZJK-mHb2sa3e^u@?^4~*j7j}`$5250nc%Q+e>yVe9nX|r98?4Fl(c8_waF}!WPTXqdOS5MiWv@~9N z~n9^@?f00(QBzi%0-$Tii6+#C_Yvk33MVhQS1YWd9_$PnEPRN zCGb#)p04_HVw3_qT5zqGkbYKX7gE7dn<&mQdm5qb9O9K!LY`n!fiNK%9~*g!HoEhQ z5?HdkPX+UIe={wK?mHu>WqApbp4#yXsbUrC!M&AgSQ#6F^S6r`3l8{X#TI)U1TeJG zfUK2Msdr!;4AHB(5HUYIYT>RKFZ{>2=AUs#V(=Q_6g5rWIF(cNvBXmMI

#P!1Y- zPT6-M0kss2oNurw_}yfzK#wWs@3;Wf96o9RNO1IYLM?&5Uz_r96|g2 zhK4yLo-NVuo`$~k ze>t=qW7M%)tt?9yD97*reI`VM!j2`39=SrO;SN!5U93-+f5upqbRA}F`?lkV)IJg! z^&_p$PC|qfh`5BX!I z3Fm3z;Gf~Y{M&w@srxPCTeSP+YK7bSe1#5)JO$0%%LjZbcU_ zDD=d1xgs=Hp32GSTQR1u;-_fqF~(0y;-r=d8)b+|3UEGP*kzz=; zb&G_#+3y7R9J=SlRY^qQIq-yGF?)uvL#&qxQ~CiP8{|_}lq63=^_zJgDbwF}f0Wr$ z@@3MKr?KAk1UPgwh#tUV__;FIz4(rTTaiI9D~A)|Xs%z(_L-r{u&d;RZl63tbL@3A zEqlRYMnM*IVQVucU%B<60nw?_L=!Ab0Qd0^I$&uIMnQQWfhlsdyZU}6Neb*f7DlSbZDS) z6urVsWQp;V1pLu$(13y0RX4{HuQ_xQzRK3m9p4zK?pws*&Rpw=1>eH8C-TaI44CmL zKc*u8^&5yxp36Z-Wp&fY0T0)?aKam}cSD6AHkZcMhoxto&_QTF?v|t@?cV)X9)JA! zIgUVGM;pi653K`DWwl_pw78#Y4g|8X};c}&u_VPPpNA_XQ+MQtPDU;T2~ zGNjrsFCcvbk4rC$1@OcErYez~G)w>G0k#6LBI@`fO}`XFLhwkwe{Xk%u8IruOt(_G zm6GX)61vGdYQmw^pX9xw`l7^#J~Oc;?9On}~7%`-#PAs<5s>VbNnQBiy$379FPG*eZW zEqeWE7IbHZ-LS~1f6KX&PzGXVHF3I7g18MfU72+n1H;AXU(#1Zc z-^@-r&ldD;r>)}W zxB3qH$(+`?UFBgp-HL~_s9M_GnwGB#F-;S+=9A3rUax7ckJb=N;LZrM15wI^V(IQf z4n572v?b4NJJn)_2g@x6h?qPvm~UdY3-IDal98MtY9%-T=@B#|J`=3pfKY#J5o-2s zX;9X#ls-=Ve@$PVfva_|o)xWJ>^P~r<1@W@UgTw#a1Z@6yI3Mb-KdJpAhJkDEhqMx zRuO0H@dml1?db+iCP%tsJQo3+y5L@WJC{;iLzyYxV3C*-=Zh~QRDd^xc)t>rs545( zBVz>*6_Y-nAU&Bw&ptQQj9d}evv@mKEf!1T&%N_ff3BSrYs+pNgVVjw|Jz)nHJWd< z3%cgny4q`Z<9pgKBE>JSKhwgrMCaF^A}_k!-@ST$U1O)%e@;~J%0fY^WSMX!tYBgJ zzl9`UoRSAxST#vqP7U5XS-8LtqDq@EHB*jGl9C)fdr>o4?;;LY6jymv%}HcW=!kF9 z&0y`Se}i3Z=iaxIc|t-kKpz`Bw6bv3UI*09DGCDzmZTNU?`jBE(i+Xg ze@$Fzt4+i3!>m@7jA+^O;n;H0b4`3~-^kc-e~uVYfAlaun;(+*ymVHWgwb22Kh1I$ zC-p$b?c>qCMZ!WnRtK88Hl8lS*2crwc*}L~*+*@!Tc}L|SGrtH{$&R2h?<+?{kRMz zSVJPSOxzOBZ(*XE6Yp0?V55yEtXt5fx6ULduyk`*qPako^J7B8i?E_@mPczSE@-+q zf4wxQ4!FacD?KOts~6eu$3j~wJ?oIW2P<-VQ?)LG*a(hLT|?nkhW~ zCxJu>V!Qk+ImD~i%S6J!HTA5mz2|OD6y)(rLLduICKEHT8~wL-@gn9AC83EoJrHOc zEZN%zCCLI+b8h~S7>)a|Z&ZhtUq{d8e{FuTQbmSAUHJeO9>E)ww1|^2RA*S|Xxn$w zLBMR?y*bDa2d*`qZjPa`l5xRIYA;f!7D|tqz`?kmrYUdx1F3!G>1@RwM*l;~spM4|H{UwZ-bJRax+56RtIy>~#1&F+w-))X*{ID;><76Q0JZ`@aXE zSXxbtz`3h104XD=zSdxy*XGajC~F%Pc*t7LH)&wI5LwiJyq$>==xCSOCk$=rAP~YR zJIxh4B<3#!lMsyaFE&*oItna-e{9N698fcI1^e!)&VW=cM%)GaGS4oAMB6Tk1Dhnj zAb*6eU&0G@h`|$k%3<>aZsNG0`UeQOF<4=~%YCy+{<$BS`5Mw9xUM7AtREOFTtUZn zD$Gl!XXhdzrKz-HLHW`S5YI$g$`>BeT?NgnjhlSFPl{S(R0j~;l-#auf2fk|ZUcMs z9X5@*LHDdSCR0N-C4GB#W}1^#a;d2ez{UyUdj{8*+Mc^yejn=f!OX=Bf3~ouho*2e zg=PABbRo(&T>2>3HDsoAJmoD?1Sbh*=hD2PDbO0ao%=fNRRo;(R5G>z{*L4nO|S7B zZRNhvTc8q$SU30tPm&T9f4uzFOl#`VX}j?`?7Va}7#xV$WTBu)OUZGZGtY;o?+15; zpb2gb;RUbgt%N}cC|&SGV{R^Uw^R$jdGe*0#}kO2QYJZ;=zF-zhUZ=3{Blz!>9XL@ z1~(A8_|>s5uTUVB)QWDZ=ecv0F^UIieg5mB!!^vjxO^btlBw&ae^!d>_0L~R%;^U6 zuOB$20-g|mCwVt*8paIc&~mXZsR5-)=#r1;W$ypR=42Ud{r2h}lMp|8=$*jqFS{7c zpc6895F%7>*W`^@Al~U=<#pj2k`YSr^8gCODo;zU5O?M1 z+X?`z!Jx#vTe653f3o?;IfGs#YD{cOI9C7YSyhZFN!-TWO@NH9iaHSr10iY(cWu+? zN7k^5OWrPR!(xAp3JCncL947 z1bP8FsMnT8lR)6I={-UkxriPk5F`bKa|y4!aTN06P2sWve`bue$%>#f_d(9A*j(U% zrt(%877bmiZg1}9pa2<=@Fs2}J!GyVyLyHU(ICjXO&kAsR|UhumzV2nT^Z1hy|?3R6%A_!jHzCj!GLE4|pxT!yBm+9yTRaoj=wK8JLCiZ|DE#fG-a{zne~$V!hg*Z#kdI%Yf}Kymy?th-s}d&L z5TQfc>xmNuM%@=HU%cn*GTMv5;>k=Zq)*^MWb|T+uVb!q-O5OvH>d!UMd2`HtsV(8 z(uEFiX4Oncw-O*}uJHonHBSZ7a2QOa0&;_Z#~DzG>vA*v04lFCqiDd{9+!nRT8}S_ zf1z3S{xm=5Y|(>tnpiTvw7-1x>jDJt60L!8G3-}mDpJmhlBsnarC4m6yho_10Dn|& z2xYg~6Ga%fr?ljwJHqk2aea=P!NE71ZkeAAB)24@^72t_8cDGIJLR2pn@zh^nXG>-ZqAv)(XV~ zoC3q`leWS>=H~Eh-4mb8Us=}heO=0jdfL$*Up7Z$Y@<%#Qc*IdupiraCP%(3=G_B4 zU^|YzY&ytRqRexDB>4F#8l-iiWLh+YReTwN4GqSwe~`i9 z6&|GuF-HgYczW@K7>250n%VgNY@YJLM_KVYUK}QfMdxvpPrjwL_KB_eo-jlb?=hs( z)6oCHA8Bgro%TW3Gf-7At#s3+4~-J@xL|LdlNO zJ@W!DKAsKYESJU|Shg5egEycgf1n+p&WXzH-fI#*o;_xF0aPbK{NPc=5_3i69CFs= z+;+UO<|@i^F_6WUy~KkaffEl+d8H6NZbmsVH*A}la!K5}qt6MKP!2vv`fK};pOVpx z(b9!noodEl&;@1x4j6KYPmUhfqJq`xu4iob%4^5}R|7bCAUg=f6xTPxe=e@~A6Egz zfU_hl0*CYwB`hig_+crEnJJE;@=5i#1 zPbpz`%M!ib1!Kn~g2k@IU|jTfGbV(N#vTRdwJqCB#fZ=Ev0NTme~Qhj4C%R3Lv%2w zZ*)Vok2I^%b@f|6g!@U>AvO2jOKj1~s!`%J<0=Xnc+fMsn=B@rZA5;swE4piqWRoRZ^vDOi;wB00}Olhna_}Zej>$=hoJl z{pqh6zAn2+6ftnWyFpIEI?Gj6niX;j`DmyJ55ZSi5{+!ig0F2m3~oThO{^isDow|0 z$Prn7Ha@qpn3wM6xnr+|tbD!gtuWkbU6s&hpG&aJe{gcCBLNV_Oml>Og7uo0E-fJI zz)<@?=|gV$@|URA=SsD=aG^|?q%rv5zM`wjN%Op=A6jg^j-3_q>{BP?eJx(GkPCB# zXh2-6Jxr&mbCk|uL=IJrst56jKIz)3;2l(&B`tU7n$vsnU4vjFE3r9)Oq7VSjd+Uu zP)>mg>u+Un(-~u^A268*LqfUvl|mu!Wj#Mq z92z~w@taMq9p8?IdtPghe+aJ#@DQ$_3~{S)!dSQ7K60t}9}x3!GLPrAFbv-!ysWHi zC`Rre1v&LUgFgo+e?&LHhvuw2)HMC!GMgW%e{|BND2g-|HE)PTYA<+Wrd*_i0N@QI zGw*vBdXwq`1Mo%^rpr;|?SJ=I3Ckk7ieUYUAEJCIBoNoxNJ4-1e$f-T;3Jtm9zA5x zNY2DG?HpK#yt6~=lJ@(^_=LtmzDvf3wfesu87c$;UW89YQ%0-yv0N3AiA6sXAP%|d ze|+4Tlw)uBW`B*fb|sIU=h4Q78DDnJg@9FT7NnfT?wa8};%t`$bzA+kyx@o-yi$mk z1rMVQW#@YqA@fOf<<4Kd;Q-jd@GmiM!Pyv_coW;Ia>)_NO)<2fB>p4zxNKS);?m*3 z%V-tJkc;fxZzNW5sf{%H3#*36&HUgMf56tcbMsWWl{Vj!n2?A&UH1VPw*<0hH7IWo zU+j&)AWqr-JJQ!KLxc&$i*#o}V=e>@MT=Qv^MS|tw{J=&BNLz-U#;)htKLenQmeeZ zSeZC64n8A}*v{e6*@86Db^XvAbaRtd%7B7)`$aVs>y=LYj)pFg`=50P@kLWBe<&3h zwy$+nl)ELp$aSOfs-x@N*lUV>*EQDjIOeKtat*9urc(0T3hbUIfMOyffBCPA-Wp4Bt~X)Udj>^={1w=cI3M^+8W?>J;Zm*t z_WL!aOhV=3;rBq}P^;cU~)1-v2 zT>`1^9HziRtY}B_vnd@g)b6=7pcgTjw~)sf>kAq(qJEM3G-?_4>pfIue`~foMF@GC zg5=7{i32jiv4_Wfihyagxmj)#TnTi2ImXH4Rb~NGix3O6aJW1aYn+q>&z)$V`iop` z)1RaJs_tWtj3KQZ6VZYR@gbj@78%CaWqf1U>A~guKE4Ob9@Xko{$6dG3F|hT%rlV$ z9(K396u{%aG-S^Hc<;fXf09BEFE_CWCaQmp74@f2Q)^FS?pApr^Q=lWU%F0CnW%vS zlUk9f5Vovn3W|6ZeH6nAnLc)H_tGUY&wEK;l;Yw+$DqMwsjIgliygMn|EpQ7CRL5Y z{m`yGb1E%IEJ07KH?yNo9-NHtW`%Oj;kFR}ochTtOhej5-ymqMfBT4W_-GiZdx~!h z5WLfd(VmX$LQOGJaVvyxZhmv^Ogvp7z6iT{DxAf)Lou)?xM?!b-;@JfTK7|p=o?!~ zdP>Fin}^>Yhj{#|y7qCfEQZKHgi&-^Y;GT(-Fh*Q^8)z;#|yHZg)aQ_bsAlOsDzgx z<1?r|)z=$zk7yLre+d22^5PU1f3#E1wpVn|rm)YLZ`mY)Yz$R{49$&Of=p%KZ4mJ< zeIzR#CYG}y4S86m+}5&Ya7{*}->MaTC27x*lV=pBuH|WU0r_a&!SF0)0R`v@Cj!{o z8|06~O2u3m^6q(isy0}-tyn`_G_lv!0kvV%;edM1o(sR6e{so1>v!!{Y|s{UrPN=@ zy7akr0`~mhxQD1bLd6dV=4)XeR53}kQI#Gj$qQgrWsnnDV=i11F7SDbLbXG6Mv$!< z$CJG%{H3^LBy`;0!q)&vS?NVp<+XoVzaVEf(X;80l7+kHZ1(c=)O;UEzpf6TuHl$W zSq-=D6f7g1e~$*Z5x`q&^6U5w*$0NS!IxCuz6L>dah>iQAzQQb8`{sguA@c$)H(p^ z1kU6`*OJm40!ThjdBxaK|N1w&2pj3WxjU+;>^@UJc?jANJ};JC;@(&wUD6jEW&U$c zlUrqSQ11^`3K{iZm>fgmP_Vp+03xTro?v<&pZ~@Ae@NW5+-s^hv^WJId*O(E$6z2} z9NlC0iiQQ6``RX1ve!Qezj!}0$@|bY+X|VTmA>5|6+}U(6^O5oF+c6oZ&KTRU4qrD z1x5$V9-F}6jaa3{?mU~=N(J2!&9S^<3xA=$5qeC5z9peB&=;&1r^O@&U$xPlB9H=0(`_u}Wr)$hRn1@4KD1nL=lrJ!wTZu~-x!o0<~j&x!WHL8Nw zB9l%k9nC*7*P={#E!+t(S>f@W$0%#wghq@s2QqS3*}k#7L(XDlhW&Sv9C`J1`ZDMm zf2BX_ltud<;R7m|)SHQ2kgR#gAjXJ3l~-Dea|%~-9_iM2r&*|9ce|M*gSdHT8i#Tt z2i=S4Pi6E&w~WVD6CQNgR;i#T233I&Q38us9y!seY{-ISRhr>OaV59wJf81X5CH`m zCi59^l^V87R`W}@DGoUghCVykT~8^ch7P9(=uoAh;W(iaCMA|_MD$7n7#7sw@jUNM8v66Mop)* zlwZ9mis(Aj6rS&$@OkJpJpTMC^S3$DA#yPm&R(BtLy?$sOFFt7ACzjVeoWpW@k)E&10-q}te z2A5``lBUkhEKB!pD$B?=5Goh?_ zbh9px8^xC%asD3EUgPe+zx^#{9?J%3Pmo z#EMRVc{0mHu#-b_z;S#Unm2KfaN8a<54QtMQ;%!ZbK_3&7QLZrhh$P=1>%Y8JJRL} zWNTR$-sCXgdGu(BVo!Z=O1jT}>6FNO~eGh%& z2Xi#BB$lI|q2so5+$;B!G3j`*TT>a^ZOXF;Ufm#kHM|$vjwM`@7T^F#Z3tb_0bOA` zV}BW8OES|DKkeI#)H1K8h4eRPq0^wRd(0)j&Y%$BBcl5ee|$oS%y1T-@K)*ttzYhd z*ES?gbzrdY^8fT#LN3m}XOi_TLjr<$eMI`Z65d!_DSlO^2~sMM z!A;-8cz80}kLZMpru{T0_WrHrFpaBnThEzwTc@APcVZEBe=&RP76U@y$*?~Bap0vn z3x04?e`u)if3cpT&txy%7n(8CsneHhpeMH^^%+eN8d?kn0d=xJYLr)@j!dj??V9@YcJsav z5O+L43)un&Gs0woK26SCCxL&SQFXwrNvXzPx7*iPhNq1>9uK5lTlZW_dYp9Dq9G#* zXS;06EA!ru%S*+Pe6v9#1lIB}yN~{` z3wu;>f9LzLp*8-g`cuYYegp&4Re*2cO<`yiv-bG~6!?yh)Q<~iUny#XtQk1`;@_Mt zGNnMVzMQSm6QSHuKmbRo)#Ln^Sdc%6N{0qI47gc&grkXS^FB9@%wP?{peAR8wlyJ? zxY(Vy-Sw~%MlAKIL2=|}e;g~3XS?|z6U;!*mhV0VJUZ+gWvWz+ zc&<}+tlLdUGXueOV6-AHuM?b*&VP*vrWAMlO(}YNu>a1N~1#H1|#i5>7kr5acV~hJnyO+39uh`*#|?G zO#$GjAc7i_pE`#>=d;CrF9Ae;Vq0xV!xt;9)zQ=s0W=*d_We}2!DEdPt&6``r2F~B z(qW`Y!5H3)8=l+sImHjTyORotGf@HYe<#N|upH=;f9sg-_phc!D+Q_Gq|~g1+^rqW zHp@+7h*C0tlsot|tS1s%&LU_$=O3TTG#9vJxDyE3LN@ROP9Y<^C9N`Zx-9KTHtSbs zIb=Q>O@V8L+TJL@#(H%45^CdCiSFIAl=8#GRzH9*j3Kul44H$ecnZsN$&48&fA1Mn zm=oVI1>}fDUy9wfm&mr? z^x1*Y5Z*{_SRbypE>=cj?J#*S_=?qJM~tO*hl&0BgPrQ?Gc2an3tDbFTIRgXBAM$T zp8BI(4vn_ans@uEy&88d444%hf6gQpZhH(;FzMcIDZsf4#tUaiZ8lfCCvU(<)0+@z zq^y}F^$Rs~a-hWoyRO?p@R#^Ds*i$>!QV5-0o!r73ZF03W`}H-=bW19QaYyFyHaVD z!N8;Yi#xO<*o?7tfKsdO457rkj+=?LT0TK<+F--wh@RZjxRh1OoBl6{e~k27{sbdu zowatHbnsP62Ev$X(GMRcyLea-kD6_k04uO+a`GchZGH`EaN3ta?~vrD$RE0(^&QAM z-$&Kmjip;2hzX!dHlw|5{@J`S1h>-^VB`9C-e2TzHj6SB;wB&=7tg*u;>O$i3$k0W zJo9MO7wr11P#ez~-pKb=e_ri7vY<{$Z_k!P$zA3)ZUTXDg1&FyutG_sgbV|)5dIte z&aGm+3{9N>?A}I@g}lS0Jt8mKFbCRj>}*6+tr)D?>*j_cRxIwTA3Q;6fs*a6s0hLQ z?y#W&#V>jZ&w^+~^jf;O{+kA9u*xxYr4kjdkn z8fKFX)g`d^;N|@_?YMF1@qjNLd}W22K%Cc}XE{pjWH)qIf*jjB6{-gBIm@n#=}G)p zWOFzc;ZVR?l+8SEaKwIdIzFLR+D~=wyG9q`7Sm(7zwfmrBU3vAQ>WoGA@}49#9MY- zR5TG~Kr_513baOVe|D%gjgOVXu!MJqF!@BfyuPbJv)z+*g7R+{^0yBRWNAxtzw<(x zEJ}83U#;YIh$Ac*M-&}ad?KN?vZe&Y*pg}Ji2I@9R88Q!6)Fh<_rDDq_b7~>(aF}Z z>Kw-eV5A1Y4et0e0+T`c{sqqz_6D>A@#uWUeIVr*Avc++yz>Ie^(W(MxL)F||5bkeVPuXHqn0@PLatdK zEUh)%C zEjPc#Iq)QgY()L+Dib8_cn~9IINWaK3Szq&2|<$zf5BNOo6-I`O{6B~{MBL&C-f;$ z^-YxGym_N7eP-`62zmnzlRA-(Cna>c`kbLgi7BAZl(85r(Hqphvt)3>lxfW~*`a8c zskN?dX|xTV(FWwNt{SnlfIP(&M;%YN4e&iHuU?9vm2t&vf|^POu4IKKWxS@efx&|h z{*~&ce}TR7`O)BZk7@j3b)~d|?Z%MX2YQ)ng1CAEzZ^LP-*(WPS6U~{C{T-40teG( zxy!*A<5kVY=woF66SGT(@MlQ9TBCTCHrW!~6*yknW#Nc&sXW?`iOERWq5P7i1Dow% zT$`70tMz&OkrnVAwNEvzI#-CpwMbD>^xms#q8_}#7fBGa8O8KTQdJec2B2Wot zPCbo|j=7Ja%wA;UDwM@yTSAQbe>8bwR^75CC@n|v!4*W9;D;~rI@+Zj^Rc&RmE=83 zxm@=HhsGxdRinOeLiXVl)vOCi_V0wXHdhcU50v}e2UlA-Uju;+XeXrnN8t8r5E$!; zf66isbjcY4#bB+stesw4iAF`p*X{C676)d z7<-x3^F6J@*>Xmyndt3m5iweMCR2?fT;ZUAom?q-)CuI)i?-j&e*rUdTO5+Bp@Fy05BXK7+9~lDQ*PH-Ar;}*+Z!>v zvAN@|y?(8XKU{-#Gdl&1#Y6!R=g)WVo{8tr)yL++gy*|@XG+3+VIb z!s5W)QfGG?Ue<=&_Q=w_pqU4OHU0M@)XAE%jSf7N-gMCRqOW(HOg^$mf6t?zkRYX(Y@*7nwlfjNb<|Y?!N5y)(bEw31M}8jr+IcKsxs+IMa9uA~(2;7< zL80onq6g_$r-ng&NkLm4dTgwyA0nHfbcy^bgenu5%>WpKGea2y=qqNS!cUWB2@P1g zP74X0r6}dQWG1Io-I0wIe~QEIne4xgY+wO9IP{!fO+++kCT*e3vy_#gG|?vxkA!APlaL>>mYhkJpwlMQe|Wck+e)7Y|G*r& zp$q^r=;t^{HofSkYtz@lJOVjU#h*S26@Q1ymtyb=e&b+OQFSm+UAGbhB~a$HpLAR*K6XY9 zmAlBXmfN5z1&O=|WR{*`vU1 zr+5;(PU(`IobH0o&L*Ad1$8}Gr%qs58Jtc&{4oL7&Ey|JFD4O4LzuW4pD;|y*Q&?g zDvsTG#WKeve`ruMN9r0yG)hC@+;|WT{+BH7>(wGr)Hl^t%OCF|e9>A6$|@vWHJuaM zFz9B5oAB~Bk6rziJNW;lWG|R|MD6S&uKGXQ7w&p+$ExnU$}-DJj|*Am`H&&s`?hM$ z+U@j>^+qqnDBsoelnb2uQGsA$QxLCDUxDhW3&i>+f4|^#r7zLzhw7;E5 zA3)rizCI8zjw_{AeV94grB9Ec0+sJhxJ{`(s;PNXV8}gF&jt-)S1D_8!%&f3n)M*3 z3Lc8}fAKJXV4jWMzuK>VTupgZn@NzG5vU}>x`5p%LTtBUx)pQg!|Uf7ycQcblL&K} zt}N7Cq!@uA59A&k+H-bP{`Pzh_3$4sX;dj?z$#h@`oVEBWAfG)_ie*7VVfza)Q0VQ{kv>mWeYC zo~WlXKPMVyiv-t+_18l*EE|4q*Z<_IDTaH`i`mz)#d$^@Yg_Yz%xI>Nzr1XUqTN0G zH}6jk|6^Dbh9mW5;)?m&z`~gGS=4L>eZ`&b1y@;;?i8x1bKL^MqW6s7I&9GO3y>nN ze+Q0Vqbm`&V`+X+aV&MC3J%%`=xH<#zY8_W*ETZv?w5_wwS>4z%#>XU7!K0*#hdUz zN;ca{xSEOw-Q==Ua_dUDq0~h3rZMb3Up{4~3NK7IDupMtMfS$@9k7x_4DQ%XP=Re@ zK?YzW>iBAh*NK#9A2QUCzPp;?mNgode*wepOZk_8e*s!dU()tiSFJ_K%_C7|Ajct6 z1%Pvr#k2nr6B;5*HlrB8b}Z`^s_l-p9W8{L_lJ!3e=K;GYb&4yvjxKXKX%0@^vV_j z9-4}Bfhy>qm2S;rFC23iPb_jDOcPG+yKy{kdohx>qw+Mx!RD)lLFnMT!RW1_f6vNc z&wBd@Rf{w4U{B~WJ`O6(a{laZ;R|f9H=T0VrddhTLQlEI+7j;TaK-WR)XKWtjgM4EzoZ%_RiCxX&0kfd!bi^Wc znsc%Q`Zt9xPGhYK5I?wL^jDwQJITL~a((C0A^jC{pzMzZ%YiB{nnTJmf6Yr6CM{0P z#CNZ`hOATiBHDL$X0cAU$P7;Ima7m0WcL}cM_`~%Pi=^_;o@-UR>O~t3k}~`d!Qby zDtdzaY2kbaPI80v0g&S3JFA;Dfv(0dGbm|Rv&#*Kqc*9;u)*jE zrhkkQ%a|jL`wUyntsU9pMCRYfDZ*{yP>+?AmWQB2kC)y?eYo_O@M!tja-mm6Kmaf! zdm_&^^rLd}9$AZXy;ChyvmZ}Nrz(caUr+7u2+*u$w^6B0i{2Cqe@dbvR@$scmV);p z&+qb~^8eD`UB&2@g&bzV_0|v8CvT#AzG4vi@`fwtYOnIb8jLbwsYk$>&t_X zj4B&i#0{JoVFPT{5^xjY47<5a670q^^w(4N%nt*kzWW8Ne>J=t;68rHO)+!X(sn~E zue|RC^5bonqVs{#b@Ci6KSW~o5AIV{o0nvdRgHT90Mf22FPv@ar-%AZB2VAg^M5S3 zZI$WbB*8^mVaZpX>y0RBgCqPP>>e0^>1ey|{QQYz>0$*pGlMizkA1pVT>gJZOmWH^ zHr-TXZ=2boeuEsC;!pYS{kMw|9iJ|V3VHeCqyC&?zhN}0YXuX2c z9QVxae*2DkS=2*6-{WEHP#JQoEBcj28yIb00m(0Z4HyZ>ngv zkf&R(NqQh+BEy1UIRp!QtnIW}x$&26-vmZ+p%w|OD)*Yacc#chnXeh9%8{{G#N6Y( zD+M>pE{6)0&Y}I>^{35PW)xBhe{UKf2xTa&v)m@upLevRhz?twQ*5WTED>d z4$2`J+?zGRHd4V&f9|7}_2v9l8ZFu9mc9d^i`fM#->ThnN>zoFMs1@4*r6H|7oWT% zEW}nIlULSDf2*VVw-8w1Iw;2%)qo&x4JyoOhrX9fk^TY% z)kQ-u?_R}(K@$`31{HpV5f3lusalw7|hRkmZO%(ACwsl7T;DuZ$L zR+&IbuZx>Y)EHt%j#+cZGgAz0BDQ71@7P$kbB{H%vah1scWD7Q*S2D&_7MNbe+~XJ z+9T-&Xxrr7LuYAO;fB;nB`3FNt-HPEuy5Ih83^5cI?DKeEzCYFf47IOF8@8pwbT1q z0uN$@NN_6CE_MCEmmDVC!#e(aOq$+qtaCw?BL3!-h2ZW629H*1gRS3j7)J^17JRMj zx$6<0Ns2FB$Hfk;Iq?gBJ*vjI6un7RS^ z0NifY0A+JGurJtxg@qT93Lp)11iFBg765-UZ-64u%~ZqN3CIedG5rgufLz@e%}iav zYM`T)jU$j2>>>_w@^-PYvUd9wgPoD_SEOIwVoU%zQ*%3zr>mU}z|_$KAjhQ01W*Eb zf`v8!8jvHv3}|g?ZwUZd0yKa+08MpCHFbcrnzE*fIxQ18u)4dG6UgO1T*TEiG^KwT z01~1~8j=8@76U+9Q(fcNUk#umn7l^2D*=GU+Re?0kD1xi)04@{-PMf=C9CD;ipcl(DJ zxDjr@V%q<04sZnm|CPqt)b%f41r-$qfP<-xqZ`oC)X^Ml=w|BX?g}vZO9uW0TD22|DBkrqr0omAHDf^+2$ZeR~vsHnB$1AnolQ3AO*nA-o3&c;>B#tUenV&i6R{da5smdm=Cg7;t4(aIhO9?M@M z&0j~#9=yBY=a0>=#}|N+m4oYlbl|l#w{rx#x&k=f&PRjmQGt1vXAjfG;a}u`PgJe=Q4unaL6426h2B zxx4uTEI}@azXr<131AleCHfn20hq;pBW?h*_;17mV3zoecmd3k{~&G_0JGF@#0p@R z{*BlG%rd_bJAhgCH{t*=%l$@RF7m$-n2W-11m>dn8-ckf{YHOaF3SHP9xxY`-w4b_ z^)~`@QTvU+T-1LfFc*#A2+T$EHv)6f`i;O`w0|Qo7oFb-%tiMf#0%!4_ZxxzO#eab zU_Vm_C-6!7bqf9~Wn}}WGIce#0q>5z1@Ip^2iq^P8_>nZ)$Vsda0s*C2wbX}3-}lT z-RyyuZolR1|Hyy;K9K+9;sBF110NyaAI4yj`9FvgoWLAp4_@MbcyRoZI5_;SgOvqb zqSg6+ZkZt80NhZDFw%Ria`W?^abI|%zP=pB7a(*#_~ZwegXfm?e!Sp$C^|F8hdezRa>2hY#O)ZE?e z4O>AT)ES4H8_EjDfk`xuLb#)=P&8M*W*{Y;Pw3Lt^bcH*IzOl&>sV5 z1-IJykEMSCyE(gqz^_#^`+ucj<>2|P`QJ_C{EzB?Jh=WN{vUHz@aX=SBrDkacUL*V zJ#Ym&*!+8OIe*yzJ^mOkCpd_!jo0tmz{Fkc|FxE^;QYVSa)SHhX6*v}V;taqx_N^B zZ~(_}{{w<6_V@#WnR))P({527b)3a)3(*ZyUG&zkJRAzR~@4e*mBP|KeZQDF6`Y1vE!omn&w^Rjrq_Qi_LyGZ(Fr;TzfX2Ry1m@Jj*l_z6gmGThKwl?evGEsPUpMDlBBtFUR~7Of2AMk+JQs_K^#a)RB9y+c=O%> z5yvyFPZ9Scbi@QIWMaN+r+aX&?4H^ zwiu5EAQmYv2A4S(p`TnWJ)_*^BDsHh1K+R%@q@Iy@Jg4bXLy|p@(jJD#j%A1l}Kmq zLp7Zz>DwSF(6SqkxD*oK3!W91zl93!X3?-6T3ZQTW~yNsELp`V<$XK5HT_aJEVhv$ z9@ZwmTuQ=swI#YQjPBw`u^dC2X%X&mrwv>R*tUXX{9_3wkqq1#>q9$--^YLSbWpRk z2)>delpA`|t`*fxj1I>()ArOJP@yR`D6G{)Yb``Q&Lmwf%07S2c>I9n$9W&-DwYs8 zp$LHwgtJhl#&}V(s!pQBb*A24*ZtO8BAQM3-Tk?OCR{{@cvY*=`Jqphzay)V_bkrS_Q2!XPCX|p zT-h&2gszx8No1{c6lY^2Ri4XGZNOGXIv}WX^S&U=a{RC(jfivs1O0#0K-?MQ4=YG$ zd=ppv74l--kt9xA*l4degpE+PNib6=qrVTr@TWpvZb&p^^jNvZF5K#`o#f)=_z>#Q0%TR?y|Vz77|#!N15<4 z`S)VM?hnw@1*#*Zp5U{!mMrf}TuZ*BIOW6mz&*!c3(cL7CV?ppbb`t9>-rLcC1>L_9)!sG216&AcYY5jPbUTGZti^!M0Sg zuw{T8i@uO9!B2nGLaY2;fm;8)9K3eLcEW2vz2=|8u4A#hQadQ>+B<&VZ#W}&$L_0G zu_hzG4FO6GKVo~~qjC**wwBqk_)cR7Kfub4rpPHKfTna6LbCXkQlF+FKkLoP>@!(G z6XHGgYI;%^BK9;_UTrk&S*sl)%>`el(0=@0#8`y`{ULwfY%cjE2~M*`sI8K|13I1z z#vcOzkgOAp3WGmFF?UMW@%7`EXL_{=xXalh3!RLqDu3Af`bD$Tp24k!l6!u?LTTH} zNC6A?d^asZ^DuQ3k=FYxafZzT-C1ChC_*b<7yS3j4`kaeql-J0JR(eqptqvtZRNfC zz5F&=-kg8bFe8Sq)K<8^;^#J2+PQ`6NzM!b@{ubQzE-n9h&IK@-$hfj8pY(zobvE& zo>vCy+h@h8MUkX1sbNS=9in13RG~*BzAhII<=IGtNR{>{^@Gp8Uw%;&hFRjr!sl4riY|>9gr0>nOQZdk!>w6)Ix0Acw(<&3!^Ik|F1KQ;ewLQ< z%*WisGjM%vni%vPTvX5?1loEIF5hz4g~!jP=a-2xbYdyhh(xU{;%$`|ihW%u%+ zf@#u)nZ}zbUO%O0bg|1yqRe3w3k-y%vO?2vFpnXI7Dj9@(tltX5=R}mm=L#YFt>smPJu!hQfrc?Z=iWq(_ZJuwz%#1* z3Xtq26h1Lcu>5$I_p4Va={Fw5N*=5(HhX_NR|7YLiIbW#0J!lffX;+OO-81X8OCSC zs_v=!@J4-r5(-k_Rct7M8`0-^^4IA^KI)rZg2XRuTm8Ey**@`VcW*QG1EvE{ahINb_^`O;F(`kGOYt5)^h!A9`rN8c`{NfgTeik+JlV}6+E?G{ z3&^uR$5PPe#>V@-IZjIAX2Kd0UD-pz2U+5_?qBc?tgi({L6*ef$wLLgKg1}7eLoAG z?nQOS8wzm7EIMj1n#XKJg`GA( zA@!eG%9!t6(O%qTU|w-st?kr)`(g5#N&nvW=`%jek92EY=Pku{h8N|1%JKyBmjrgk zZsCXnOm}~^9<+;SiR@44Rm*(`nE?R0wAKdqgwN*i)VN4m)&6TXUo~Xwo`UyR!%#^B zZic%i^8jQ@nl0mS^34tCJ?1pGsdSj{9=0JJzm827X(wa38s|H^nIpTqVf={uv1hhdLOdcP zTerS9Ys->QPXk%$le{$4N+2#*G8uYX$W3vxbE9&)m|<6*pSPpH>S3@RL+a-_Pms9* zXK~quwb_goMJilkgd8l@Y|^}ak23j%{$oF#8B3r{ls11U(M?GcTDU8_IpeAIXM*IG z8EU%Wsmf^vrXuFYg_VXBTtfmR%R^>DvErw(Y()Hfft#n5zAZ}2 zyW8_0*-C%(xi5V1+#wN+y@O?o7coUifv|Y~&1l1FqCv0s5jHC!4lT&7dtnKkOy2A8 zY`bj|vNR%eUSS~skrpEFz9V60dnmN1P5~(!$=37lGaVa+ZIZRl@cpAPQDufhmsBqw zDYi)U&rRWT)*;*Ds9yUOja~X}P)6<#v0YLSnGJtja3g18(|UQJkw_#`DFM6IZEvZw zd-r)V=%bsr!n~)0=U&rF%y8-^nxkdNnYgL!QAs^QanB1SZ=!IbmOHJ6ddm~Xq1c^B z8WTVQrz=zn5b33SP}(g4iC$#87I`Hh1Ly<^y_{BwA78zq?Y$sMCYG23un-9lFxG#; zHjaOGn$RbCkPnoDa557ykF=~nUuxmpr33qJ;Y#2U82(1Cj zJ^9YYm*e3y41qyBTM}CcpJ=;S)yoARlKk$O$ok3;S|6wy}eGa^;u-4K;rd zr)bK9@cTU;ZBN$bHyZB3lFEd{gUeZl>*B=-0TMp@wc*{iYtFUrye2CmteW0}Gx3}W zog)MAvwNh`OE!ky$5!9ScSLPh#0(5Ab$h$e8b5xDg_}KKT_FpCQXDH8q+~!UAW7Vp z#|75R2uyC$)ZPyUbk(x9!5tRO=y`uP&f|`YwUlm&h~D|QIJ|+!IQ8h2*L9B}4)4gZ zleq70xn>y~R|!DkWU-sZL#}$iSOsfji4LO^TlubuUc8@k^GeO%!u#4&5YVX-7@&p8 zaOv>!)cADAg$y8=SAVe;`pCLUFNKBN5TTE)kokLQFl=fbI@Y;k(YN}Pzu~>O(1lQ z)rwMw)sV5)7L|xU7J7btDyfr8-v|j^Ltbdu6{lIRBNkuOq-|4+E%}L&WyP?cO48g< z-Y_7hJqQd*4G59UIpH=t@aKPV0ny5-t1h6M#3!D5A1=KihqTw@# z^D;|ccy?H}Yt{X&y(0g=C7{jMs6WxvxOX!( zr2FGi85mqE#~+7aj(L&^>3unDeSb-B0PT}<{xh%hxO^pVNPGz5AUI#j(rqH|Eo6*z z)G1!IgYRb}Y;$1^Syg`|-m|Sjg~8IK@d^5Ur``TFJ*pdWg{ShfsRVRBe6@0%tl(d3fJ&3KX+C${3`1DV<=FRiH&TMS@gytR{4DzDh2>yc z(!uM_WkXlP_n9noxH@0mnpVx{9gh25*emQ~1}rUK_02I+f%t7h>5WIqrN*slRO<`p^~rD7L`v zp*YyR=q$Ie@NN}M>(v{Tuam=NeV2)ltNObuu`_yG2i=qZ8(4X;i%~^*`Qc zyj8gR zNZ!SAIi`Pse#u0lrxv-x0R*Wn1Dc&k>2J)7ACQZu>u*ja&PjB3N87EA*mxI}N8e`r zqy`gDe;Aeeiq0;XV*dys#crIO`;z_Td&tQWi|I;k0MnFv z%ICc!LA$uvxYiH{_~6}#k6Yn;R5sIB+2Tx;4O^T)Ir2#J3_IpWzfIrdW-%7!ukPvT zO}?SdG8X-$3-k5`JD=NO8Aiki&0Ym2&(nW^@R7?jtN{8uF$%3A@$<-5=4V*7aKX*U z#Q7p7>fv{%X%~YK4~?g|o^>-iWthHpSreD1D}rrsZ%!$dmOR$9$kW7du0N)5vaZd=rPvTnvMD0*Oiz<>7n8XR**9+*yd1vfWz;ntd*8w0pF+Ju|guaCX3{r6_+Y z&P9LzYOG=gBGa}H_lJ7bA@dw$g%cxz`4}|TYIa-m(Y2PKZRbaZdN)eSDCGc3u{?56 z>m)$p8xfJ?DPojn;|Md8&JUC9M!KqRgw89D%0gK-iVj+`SG(Kn4&?aL{8l_CZ6DC& zvv7^gOJwf$y!;eL1+Um*l%!?hT1kHhR#%2Y?Y$Cty=}jN$UZadq|d+J8H&Lfri2_h z&}JJ|JwyU8{E&cdERQUpP2SXe$*^ zM5OsB@$I#40205Y#z_h+-Mz_MIvd8CS*|t=+qzCucP&Gkl*+er-TY!bm^y!rB9sh= zij(C?NLnVmRg*F)xXgIQLkSqxQrCwN?($R=8<&fFuUrgWsQH-#8@HM&b};4XO*Yst zX>pP0! zW*z(H08-?7@#vg|$jK2AvurGqJ^bC#!7F_oy+-x9J*n3H@Ne&-zl!i|H=0U7Os;#D zn$zfr;+Aw+C&VMg;j5qT&n7UC>w6r~?Y)2FT)Nhl7!^1e znEu8t>#K5gmr;`4kMbNh2C_CL_1|= zDe62p>HM^^{?rn`mxPN_+f#*dxG1yDmT8oyx$K&G1)$?Wl$bdPbLqQ5A?Uc?Jk{t1 z&hfOW7Vu2O)=@C}GTT%Df3189HN?(Pv!i0nz=TsJ(v=Ts1-KrOXS51(^5u&@$rztI&$05^fMs6`eUZ2l%5SAyfS(8|R@S zYuu&oOQt_%Y0J#sF;?X(0oEC-{4h_Xze6q!`hR?M%;YL&p7Pp~{p2wQ>{_^fJMMHs z<2unbJ^0b}9e~e(O&emN){#?XVxOs|qIom1g-H(HPxXIfqprtv{gXa9>J_@u%cf4Z z#!yOytZoQPGI5nOpMfUV=z_ZE`pjj;=Hq>4(w!xCK@tV~6x2%HWjtL6YjZw!dNDDx zs(}=FrpnC{JU|;hWn7DgAmDrO8SCc{u+!w5xKiF((Ft{LXNcIQiPtGk4u#6Z-o%z{ zB_81Nb2xu2QZrnbAyOJd>653;z!#Bbqe2AQJ-m=ucZ>cQFjqYzKM0Z>Otx@`8oRS! zg4P!Zi=ydrX*~7JeEiDv<<9TT$5CS0m_XF`J=&#>HP*BSXZWN~s|;eUPYE{e5%1<* zM!u3|((8z-$8S_WzfIVQ#UmxSRyRPknp0Z|^mc!{6RL23q^@s4^1BI_bH&$^oO^}A zeH+q^-`uR8#&e9s7`?kZo8@aJXv2+Wxw`s}bKVc;lI~q`MJI!%o4?NmI*~B}9pQEN z&er3~>}P1>#$;KpyY!i-9CQ3kaGtz7sdfXbV&fcp1oQ)hlTh%E~VfTS~IySIEAd?+pvFWRS zCsTAfyVB90(Y_&PNPfgOE9uB*)m2n#aqR8j+<`NZ_A}-QN|jZ27E=hKu@Z;Map>yClUEeYJku6X#EA&JDPt*BI8qz@j{rfms%1;@=#Iw>#OoGrJ1yT zT(!mNMBO_x{7gNr;l>`d!K%FHYF~qMP>ikV>?UzL;uGK%n@ntmgdD!0y2*T6_j6=i zo$OdAKK>}TAu(o7wVg}0S=vQ&;4+B%jJ8%FZ$@$xB=R*+2b{mJAFyV5gKZ@i6~ z`r7L}R|h=k)BauGqcqgpUhmmy1l(&TUljdFoY_PcVo?0LP}<{6!OhxkW6%Y}B=kAj zTo+~A^ehY$n>wS+zN;{dPt>=F^FCobh24PDyA}im??C>j=iCWz)nb!seX{w%r z$nJF~)8F1@lNr2PXS!NO5sRkXvboE!+XdHX5n2+~tP^{+EB4An02< zk6XDzE9mc*6Pd61?r1*rS|)t$sllS~X&8lmq=cGhg&}#pTe68TqpAZ>DT!i6re4)q zKSFY|KP6W3dhA`wSaxgxJgkv^5>uleeueK0{FgMm$UsK+oM89>7IqGv@Qn)?$?*tH z3<`04g)b&&$FF7`rAkT#E=GTo`?SlZ4eerir1vLRl@ON9^!041OqpH1+yi3zy7E5J zt`L9GcX7;A4*xKde^Ar>{Aoo2h2iTCq8h;y{j|;ops%NaM@Nj_A5)yl7pnQ|3tjJn zmvzyj>23uxD#ZgfseheU^ukLVi-r+a-VvAoN>wiK(Sb5Mu}EKAa_xWkst1P_qT%dB zSA_l*Q{v5tMF0kC_xL`B*`noe&v5Ni;}_^M%2C@q+fVZjR;Qj%4hWum5K}N^%CcsK z$zNG4qwo+`T$%{vyX;Mt$E3Fv*)`2b#1i*v-n(!c80Jqzch75Vmn4mRHNp%lMYo!D z3KmdWhZc9*c7S4i?Vo>{`?Om!-mX{{>VGhxlN{ca?S@3|9Uxb!vd2ej-2X9fjx&`0 z1>;4dlVBBm3+Jr=mdw;NBOX=!kXJWE=oE}vU8&NL`}G|gyfRnZsM$eJNX^TD^DP0f z+ZrBlw_411#3iZWv^lyXdw`z=<0dbFL-BK6J?~87iYvcU9Pxj0-SYS3#d-hO?-U52 zYE2wLY&vJyJF#V=T3QM$4Ax3*v}LlS+qYRBFdy1(AfQ{-RV}fh1Uok2varOcX1ee^ zKDLna`B<}L;WAxEs8+9##y^Vy6-7AQCC-?eZ-X5 ztAbN2DP`_B&A*mWht;lS2c(!%S4T8moFH{}8i6rrHxq&>M1LeY9$PSgnzhyhA>BAV zk$-sj6Fcs$pCglPr)%jJ|IrE5-lzHts(3WqeEy%NOrU?h__cSe`mnufx zu#?m+7J8BKI?bfEpT6CC8!A4D9MmCnjdr7tUYb%^!EdfO9KK7CJ@xTTEFQ5YfDkK< z!)GttwBj!7?Z&?Ksa;Gie&P>uAd0kYFL{&^bydwN z17`UZ!3=*tMyQ4Ayj>}A(3uu}PNqZ&%y2pY_C5d&4&ArrGOiaDohX}zGj|6+r(f@N z-(p*kSU*|@HKO{`jJQyGJ}0V8*G1ULT%|e0b9do9r1+?y=GmHUm0u>+LY9O9tC39m zcoK4QviVdyU2-#}6s+(O4q^`KZMjjJQkp(}P((t$U{;_mx?IJCw}%qz2t&pp zLq~td@R)4BUmWWXv>W68ExCub+=>wX6aV62KbA8|09+|Q0Zw?}RwFhv{FGvYT9%fK z#wEJ)3=J}#yH}b8aS<{nwl z?Y2_UBMQxnP}GdUt=4jj4(nj@8f4Guht<)Q&*G)c;Ubg!9048qxO0iEM*hGDymtL2 z3##|;8M08mD%JCwG~D~WfFh$C9G3PZY|(52OqA4b1OTcFY(=c-y)`^x2XdDMT< zAfrOk+A8q3z~Nc7w?)!!xX?j_2ZqBuaQ%900+~G8U30hC(wOX*hJ? z%eMRzC&t4EdsH?x!*kNL{hGbg?E`-*2VTc3bKcOik#Fh)8yMV!p#G4dcWJ($+|+O! zN+%MWV*KO#gD>m$8MCREf|PqX#l$iy2vjhM5iJXZH+Bq`SC(B;y++|Wf-IUUz-!s( z;N7~Ky~)E~Ot`k7M&2ivas@l?=W{;khJ5IEYCkAw;_S7(HJ5uuk}V-hkdJ={V`I@p zpg~NiDrkglQmZ7|8%;bF*H5y$1^kyW_H?cg(Z^^wG+k%tnMK55dB!5|i06-%n729{ zOQS~9sc9{>f1FBp?e1W0nXwd1euOyWhK(>G${hA2@0XYnwDi^+HT>$1=}o~7ACOW! zC=xojLyC%Y1yAe6bE_ujmNtJ;ccXZ4ChPq*)gtOkG9LOVycXec$FS_nxA5$$U3?|? z(z-83VHJnGTpqDv?L|B7#`aPRr3;a>u)(S{>NJrJ)zR@-E9Ra-4eyvBYmtov23{TT zs}JE@s8af5PC&Z+*ryM_T~o-LX}0WJGWgbaQFB!K+Yyp3lviNuBy0wUh zI@uhaQ#83N9c8;wG_%8~W}4%{&w`XGDtxD?RebBsaGIK5QDPd6U=V`ZR8l_J+8S59 zC#cBJAGx6qZx!afSogJDO^_xIPkGnMp?n_u;mSDYoM2X|e9h1lYafoEB4%FpWZBi` z@rVr}m{$L==wPfD33GqjIilw+XYP*|zJ*MB?{5dB>1(nKQD4SE%V|B|O+@YZ4)iu7 zigBSD<}$trFmEDgB-oBy5?)%RybnFtnf3^OH!4k#^%gPW4%MXjB#U{q`jS&;@FbL! ziZq-nG^hN@+2UXhBd^^JCn1qJm80LF?$N!YI^_Ts(ZPP7`3ZkEtjM>xXO7IU^GBk{ zPxe`Khs23;#Qf^_0>lAbS0Y&12*WhC+}Q7(AW|t=G(K;X?L-gK`ocb`?Ps_V2q8J# zR0RbwJ;Zl_rWX*By+TTI_D~;I=;Pl)G4D)ZV7{EI!&S`r6Ut8|{Mci=uemu2ol;eU zL{$(}Pys2+>2ZH|9}b+@7(gpEg4Sc0v<~Uj(2!A_NOL6Ex|(qp8Sqbstn*|%AVv(o z<^)Rke~Ncsrb6b`z+ralKK6mYLFO}NTf>?EngZ$PhY=fNbweQEH{>n9P|nNifvB8w ziGmp%Yu=f*#|Jb@ z6P-~TK|zAvTpN~M2Q#9)(SK9G?@y&zW-ZPRGi}7Lpv+Ou!sTd7I3?jFMdnzVfID6x z8SkU`ewPA@Et@Ett70@*cpkL!2nED>%GIgA((!-Xt8tlQ7Xue9IFJK8e}jpth#7g{=|}7`^-6V8`m5cFShfl>NPF_ zl|~k(URt&?>MJU^wPl4z$oA^^y~C9&cNYth5D!{c<4nHvtjJAJ{6~%!lN}@(s?Sgs zIng+KsRvDWLBn6UB0WX6Z5$H@FpG{X>Q@lMAfuPp29E#p%NB#qg1ib$c1c? zdrd|p;6~z12s!kxku1zsys<2`*z-Us4IIwvzUrSqh=yT@@{5N!HNCn?O!W2JA8H{* zO(w#igwSyDwBBTjpDm9Qp{ne5t@8o_vhHDNl~#?u+*RSr@|1vz-uiL-mHO6_pS_lq zUoC&}X<5c!!+y#c95=+ty$`VsvPbbEZp?nf)b~G7m~&3wA<19;?%*R2S80~(iTmbg zL)Y$vT|rZtyTV`h1BF%cB}+VXpoN=M#Pf(-T%La;Mfm5-OPiYogurQR6sF#r*3+(rnC1)# zWl4*k!*+#&O7u1%df>NrZ2f4Y@|Lgf*zO{@?^1hSxv0TO-@j^V%$@`Z=%rGWItj1h zQkIC-E>bJr6vy{w4(@fOr4?dOut<&-W#o|FMU*vtYSh)CaPlYM9z%|bLWN`Iu7Q82 zE)9&uzA92yw^KGh*7Byr<>o3yC7IKAYKQP1O|>1wDB%c2C8viAQ^a2KiG^pb{?LKEy6{FP zT;FoW8|WY7U#|Bx5K%PilKg*i{dOlkt#1*MWZ%qmr}|^7{h8 zOy~h=xQ3s(ubK8zaK-uLK7Yn{G4nja+mLW$(O5k_j@vlu$5%$j{NDC4+D62h;6SAZ z*Na8j1c7mIPFCW+t`Y>RB|0z%t3HJdE!52pqZ-4xqY0(qXlBiqr^RJ9Qfa~b^=GPy zUAOlI1&sI<7S{aF77l;FneysLLgcDJ?@A-0x`gRYH$@M3?^D%JLEgNUrxWZ&Qf%0< z8Ba}b`?-gLO(UaZws5>Ii&gn!hU#dr5w>7 z%P$xM%Z5j8d;zm0VT}FyUm@+j<9yb8cSX>!at=c{YW-$g588j}^nCuQqdZlKygh{n zQ#^k$WAfvLm`!$VkhqarO7Ep6!{N2S+gn(b7&+vYNOTFDjOE04c$rP66flV80e~rN zlJNJ75{{Xmw9^$&56c>*rXl2Goh2aO^=iBB)OhF&@#nqc{n5`&v0XUIY8ND5vL*;l z9rP3DU<7YPGbeu{NaVD!3^tAhqZ}O-E)?xo&=u(#uk>vt*%n}RzlisRTgs~-(iGNW zIu0)-w3^JGj=#VnGNKt23L+QGs(Zyaep0~a@bw8m*r4ow!PUXzW; zB3e^)g|ORBVk}6!5nF@Q9gQx*=Y6O8eJ36rS3NjW+Dp4Y2zT1f&I z;{kRCM$K`uUqmG}A~CJG4HR;L1|59%Ir8c3>spc|Vh);Q*5zY5+@CexI4lvn9Bg)! z{mvC`Z32IYbZ6T{9~P1#!tPh}0(3{j-Z9x01$FNkd~=?Zq!ov^(9SN|W9bII4f|?Y z!S_W7ssYY$6;9Ej+D}Eaqs6x@h#&r9m ztuaO(&0^AXDk*|sI>5+yblA%trKW{NQ`Bs`#$~s)0%w_q~Np%ew&HB_fTe)>#?hGLnch) zP?y72qKA3qy?jiw#*Aj_);awZf6_hQOwD0#UUG|OXEiRzI%9G6Q<3oOVdFZ~MH7D! zlfDL!2Fp9>#5vt$Na-rD7PJT(OTm|=jsl;KE zMHag>w1#Z^0vB8SQA2Mx0aVF#Mor@8?c)n*laH@G)^UT|4P@?A6w4}{%6wnOQgEDK zjx|s<;k9o?dnR>vNGFgz3A3f=k=K9fYeEZ*m)f}he|%AkP6>)mF06a4ww@p5$K@wS zh!{A#>z}Djp?VXecJRizo~BWx9qA#_afYiHu7OJfJ6wIP63@@O)yPXmGUldcc++Ew z(}ySq8gQ>yBFNrUSSj9cW2QGFbS+`GY_6mR!(0yQp*t^d62oMG3y_T7H{L$HEYM- zU>tJ$--!Zr&lVKd&hq*T_rnhJKXYbbpTYa^W1U{z8prgD`lCQ~QF?!B0??g|X6fKR zl>%aR=9FWH3qBb%$8i7QZwJc9Bq8~B$91I6i3~)> zqw#YTPbxo7BZ_Z&dY`1WDVsQ?p&>O@mb{Zw8oP4n%|MYzb+1_<@l45%XkP`id>WlB!rbC`C1HQiVn+6@?vjIf zBr2yH(wo|5H4tMwro1avUR0X(v{btOMovB9^c+jjT^5HDDs4qB31Kx#MnB-fPzN=h zzoh-c8S4=w`moe2Sv@6+p%h90fm5_U>I1#;m2sA&bH8O3L1BMn#z(25FRjphS@gOM ztxbdEcW!x09JVzy7T25AOJk8tuWcy5==|huu)2qHcA;t(MB z2JHC9C(xdRH(O_o%2qzaM0Duko|bi88-dNcfZiVole>Sz6oR)a_bbpDucj#ZfB3$& zPd~Pd9x$lZF2K1N&)^OZP68Dz>%8Z{!=6RbKXtV`Qxj&X4+Rd)Ofteme-Kouh9{)E zrbxPE6@0B2Gx7E#Gewwo0gSj+|E#7shnT6Yg64ESd|DK(TAXBmAi{v{98ZSO-rAlX zO=O6z1=@f6du>Gysuj%D9qrk!C>D+%uOqJTvm&Zs_jhd^wzo2}_2LuLly55mUu-AE z6iqzm`mrmY_aln53Q{WKkOi+kgu=(cC2vdI+QewiaZejJrKdwme3AQfJw}({x4;`@ zQ{ehZu9+CZ_x<3uRe)~>yQG=Su!Nq@vo7qL$GNY9IdU#{D%qS*R?FZv3 z=r?6`d|^^NcBTn}-d>)>F=~3EIO?^$H>mH35(;s3wFZ>3xMB(ey-QXSkCYld!X>5j zO7C|B-Sy_e)2fw)=k`vk#SF>gkS=T9(XXE`=7d`gX6s7>6SN zvwg}jAlOL+a1iwK?T|K}rDVU=A*4l_N%(Z{f?KP%mm1M`h$g*e9 zOs8z;?cKgZu{5P-B8r3Qxrlo098YeF^13+d8`n@pMpBraVwlLKdogy6)t!|VkTrjj z5P*rM))b1;%sG>Hr*DIdsq!*G`c*XCP>J=qSF7(=h=T+qa)nB~@wGG@8P_+<0_D<3 zeSB7e%MwgRPzV{1LL`c};zkyh5rtm|@eyS?T?fjlOfv_B_2`fz+s?{#`j+<7gl9!6 zBCBEq`#;1>4m=m$Ac~+}35aBv*)V?|*^fZFY^K&+a|#rqHTa;ND8CQbz8H3p+Z4iO z4VhhtRWQ1Tr&?g&y9(kPd@%NN<+on*=I^(}O-66t4ICFgb@C^cS*RwUj%=arQ9Sh@!G4_Z)WcVb3%YwOyBXYKa*%t%g3?agdw$< z?z10UIQ2P-t+(&HRpu`1b0U8%#XWs*p<6NtyH#SP?+_mehK|fCR`qG_dB=UoT-rhO z7>Y&oJ&Vw!x?|mfXIzO1lW*wrC#LE5hNTXuj7=r)(`i3Op^M2CR~)@)>_MuZlJ1vu zx1=G5q_gH_eOeN3ltdyqQ0LT3q-mhoT-&Z9(2_ccJ51d~t-F1Qm6?B3PLZW`u}Rmm z>Ykp4yY$k{n<(FCN0|wp*h(i*0l?~@)waJC{J_?Qm;B?_Rl(i0x{k&g?oiiFh}N1m zb$FeR8jUIGOOT)2$q_vk9WC~{q`Wr^f+sRJl6R4ce3yQqBxzYj8%>$>7M>F+M#gMa zb3fv|fi23AVD)$@=H!3MX@j&WBmEzC?y+l}?EGGrPOH zQFBW&h}J^75Ivp`TSOh1~6u@R{J-<-zHL1C5U{McqRKDyj-y8Ipg*{scyL#XeH`mv(4o z$zUPN>`3g=@8j3S^C9My$!oyN`fEToR;CBz_|)zvD7oIzppWzVkv1AlDOU6gVJ03> zr4EP6?B`ofO9TmN*6WKvD#e^)&!X%cL{?0>0nQEO&T$`m*LBURVTUBE8&lR&@_LdO zJ^ES8?ZBXeP#u4T#pd}$HQ|%{V!h2`@dQ;N#n|`j=@E(SR;o5hH=l_@l8XV)i5Hp+ zrUf`;P`z$tSV0z)PO>w>4KBU17=dRoiX^?uLSkHJw#=B2D3S3!u7k^6p7xD(@LLb$ zlN0jGWt41c`~BDRlQ}+bm#=zmv1n=s!lJnvg(oV{Nh*Ja-G`oJ?mOVsJRtU)XX%Mp zOMuEy*;j7_g!rS+N0{4~l4!CZW4wKvD4=?U%2I=+q(D7G=^vyt~u2J4sOf(-8%7gCFW{Bx3jZ0))Mob_oxBq)C;-!wq8Rs+TB z*0PIF53jj=8T!~W;*e)QjJV}2JS^GMTO_M>=Ghs>N=vo8mc%X;1wO-kyH-vTnDVVK zJGp`VXm;(5?Npgw-GU|U$QRC2 zc|y!oAG?i$a?ja|!x|6u#zVYIV}4^E;~O*qwlwU=8>H&IV!l>GRjW{+Onzfm{G8gg zG%fv(?C)qjZAdM&|+DC8{GeojdR-0L}9jQY}>YN+qP}ncG9tv zFE%=6$F^~5UHy@ZVoG1k^{KN@Na`UUWZcWP^OeYMX7L?rEf zX{FxNrY?6f7TkYzk@V=vME zsOe}xYX147#b2~q@X@l*D4-^xq53$cLEHL-WusF0XZ{3vS)O*AP10JD$R*BBdnw_a zJzy+d04~F3mT6JS(1>4=^9tqocmel+B3z8j>9h^GqplG6k!tCA?|nPe#cZwOXxO)r zn+}nR87$_oc?7HI6IWM$OMhb_wn*)9`oFJ$H++v4xy^DG(tgKWT1Lth&EEH=%0I4m z&Pt$*)B^9r0`8opWtj#JsXt-4?MBYew%a882q9a3UnRG|3I{X>`1*}~QS!%sGh(>% zL|!>}`48k@BW3{xV@l98#VT!t0Oqrj#D0o`W5ONZe3^Q;E%y=7VJq0ZB%L@s&S*zi z)f3f_+a$Q)v(p+L@6yd&2=B4C(HM*{HY4Sr*z>QreFI#ffeP|UHr3^+sV?jq5 zhiNcJwMoYP4yl)+zl83r1w(RwPS{qoxLbPk({Ty5R?#{CDQEaQ0X*<@w}q}L{uJ3B zJ;RX)l*~H@j}0G6vwAeT>hejl+EYiZ-WdJV_ZO$0ni)V5dFO^R`WN;z8~f)Cfbh}6 zA-=;TNEt(V3hgunD`z5!Su*y_WW^ZDHvFR#2O=A~&T4^ySKXCSE#k$0WG>GOq5;ZuCw02Wjm&POeU-w@HbMEA%hqD6HmW063IjsQ+2}au>^cd6t3@D3Vpur& z_Z?!cxNc=+oLDxju_zONdVye~m=?llo}Sl zg#6>CxHsy9u3RY*zM;Dk4}ipC(i~1DES#YPa02qaQ$5O$-k&#ke%#0lLDw)8W!>fM z=Z%Q$J3)oLe9UWEyuPdJjZ<+|ri}(dGu*&q`S?hJ!r6?4EC+>u!;Mi7OX|SpM4WQQ zaQQMPJeb)gfQ&GiiYAlP0IM#{FUiz z2>>C*P3lb`8*aXTP(*+BW_Tx3^Q_@V;n>Y;)v3SP(?k~!;2EXexsy%u5GK?0hm(AXo>uT^FAU5?$oUXe|2CsvJJpX^h&MD56ioxmX zGox+>s!~<1NRv9e^mlG56#2o?y}%w6|9^Vn(X9o&#BMy^0h)X49X`Qs4MKZMCtr#w zhGy(@CA{c=9k<@s@x=JsIbjpi65m2U@xV*VSI4xbj2Z)l{MJYA56l4~Nt+w0@ieB@ z)4a?VPM*bK{uB;3Um5qUwTwn|=Ij37$K7ml{Zr0AZ9V)ML zEyC>UMJ{%a^h&1Ho!uQ7(q36vG$$8QHU~28lWgSI$KuY7+Sjcct>93L2MlRHPK9or z0eF;uueeG~yq~N+n!*j3hko6x3@si)6H;EYm}ex1X&wS;Kl}&^S_3-iNjVUtLu?nT z2a18Jl@;Z}cM9_lJbe>o{t}@{U)Fg$7*8V)f1GFZ@SiqYlg{D$axesz!&)G~UbV%l zvrZ=JxZ~?r)b2-SK*yQz9C6%6>xq@Q9x-x%Pg^LfI;;spPn$!6)DD=$o_=BTr6$*- zmoH?|x#0qCLzj;&GBok&Cne`q$gtz1$aZBqPMH|%Z$cQ5>KX?kr&eeyCwD}D zvkXr2a9X1!2&B`f0!j%(!>f|T3xz)iAuOvJebap9v8k8Vh&lX-9g!R#1wg!p4BsJ` z4&d*<`psEdY&;}h3pQh;Y*{w@{78layxM=H9{0SEcz2M+rsV{`?hkmYA4&GnC%w)6 zlUAIp0(n2toZgN2OFd*v#CnM&1vgQDSSkcW6g|86>*rO@bVvd?Z*4h>Ys(VBDyEg) zv0Su$Q@&Q8Zd&u!Ne>f)F=6)Fe{z06Ws4XRWneZTNGR8Y@4S%g)rti(eisoqPI3fAS=H6;q!kLX`LH6`QoXY~ z5MdGDN)l&686n*{vS2jh4jkCA&AQPcoF~b2)vp)dWn2ilF+tAdYYqgh|=EhLs^RYD|K=`9n7i)HJmT6LA($G*ysb1QpS z-e0w+AR))h-D=w8)N2`)QF0k);VUwEg&8gCpbU2wQ7oU;bdMd9dj!#cfJ+-WJX9;q|@jaSMch){O45imo$CaNo~7tVMC-!qqAt=wF8;U~Lo zXRUTY@cFl$zao8}OLhJ`u6zkfvUc*NH87ipc1P-@?cX_vJR}V!yVjHo14OE|oczTx z$DeTQO-12v&?DHW*7J0K4l$yH>;lW`p_MPTCdxF;`)8hEDprVQ=d#eFhBX{{Hu*)` zT0O}~t~?1rLFqjAR^MTI2S^@xlZg>_qP=*6?D>n@Lfi;O4*(3sXtMd zm2Z|!UPQ@7%FP~;@K!vP?t;yqTmZ?HkEV92IVJ{`FiDlzB;(I~J9`-71r2^QDy!sg zhJgSDOD@kPIt&}!!$|9yBm{}mA`owz7muJQNVIH}#L&Orv79jQ3Ic zszem96SKC5&gIU3bew&w;Huos0(6BZcbX{SjsH-h7`*4s)=E*rIpvh23r4|-8t(4? z)hX66IKCXyXO4^oDKT}7yFMR^7&d2d96HOg*V&y!Vg3uh#|KqL7#JE=nK-`hWUL!u zdmEbD;2x0yY!7JOe>i`A$ZU9gENb=iDGMoSQ&9m8>|@k_S&nqe2KJQ^XTP*`ES5Rw z)=q>1V!vNvSt(h%t8Ju~TBcJDFygvuI8!a@aV9v|vm?6g?%yYD)QM!sYLxL!@biZw8co;b-Qz!NbeUB&l|ZmW=;DxaEvD8{#(&D|F-Ou@QTrHF0*a05xdow{~!#x-YI|B#PgwipZ7BwWsorP=R z88dext{aeSSkkGEg~4BtSp1oug)Ypkev4{2xdlscvC}Elem(k6C6cfl{Q*DAyFN?F z(v~i+g!EzV@zo}lkT8f?ntHw4scW7g#-8t6?D^hy?i?S@CrR-6p;pynd7aR=fn7^( z-ZOxI>hS4zmBR+JW)2B_=v>8ax{Xo;WxNi7zo_)Eiqk6zI}A$XqXML*BuI6Y2@v}34gkAQq> zUpl_yoD@BNz!f3DZ`|BL*kYOr*cL(~S91V%9TYp2oz|7_A zZblx6*O8aW*}{>yP?sV6fSKw>`-eF*wRN&d=;NF3l)i2N@{MjfMCqv$Y#Bbs-lv|T zko$i3+|#hLP+CWm5?ct;nU(eq4IrC;N+q6_%An_!V7o6~-s6z$n)v|Kz^DX0Lanqk zF)jK_Gc#HH@g&QG$2Li^wx)l*Cc}{gCOxEh?oz&6hqqF{3%dCN4d7z+AD`&}rPO3; zFHVz4HNsQyrnb(JaTkaO&X6UkrDfu&&rVdaDNmPMWzOS;+BKs zMPy-s5eHSR%{@A6yw18LT9e0gMae*3?DSLVi;t`W;R_XH;21~?$uxJbm5jwDQ^BTt~kQhq$=!fBdK3Q`=IWos$k&A@t3_>FBEoA4sXo8!g5G!z6Cecz3 zI*x1cfW?Hq1WAuV9)F>^p6(_w!H{)DP~zjcTIvq%bS``MN?C%*SSc@nQD;@b=0ZF`a6{`U-7L3 zrdDVS)zV4P$=XR0i-5R)!wd<<+3l}LeifR%#>OXd!4vi*| z{e^ij8Q(WP$%>0W%`Sn}ffS&V6h#Z?I|Riz0s9%(>SenliI=GDAv|Auz04*89#;!d zv`JsD_V7poAclV^GKFFHS`m|uh1TMgouysx=QbxC6(eLBu ziQ{|ScA9wdg@!GEE(TF{YNMg{C;GPffEb^DcH3`4oNjPRznXg7Ek1s|*a&^edpp{7 zqzocZ$}HxwJkzIstpBZF5GO3qKho@WQQUu31`*(%nn9r?yTn%JOYsO+y}iXwcuN7b zY4%r#t+q9?w!$wRRjVp!vIs669)y(`oMA;~d~(#o1#^pkN8(Llc%;{O;Z%aB)2HbZ zS2du_HFM##&k$p_?qEW+21`hruiIB=iw#C&H0vC{ih6Pqg)`U;W|furU4-bW6&^YL z6mUNApte$$@9;wXW_(UW^6XLmCP6dX8ivue6@F{rj66UNcLQ2QJJLG-Th%irii)q{ zm5F`_Yz7s7yKkST>h0#vi9=Rz#g6MaXrZ`}IyfRSYAQjSs?4@C`?5Fz)g^hc!)^cJ z)W~fBGX6pE1r#g4%x@a;QHZy$>e>S`f;i^0G=d=Ag%Ez$8tGW{So5#GQNZc+xuJ*+ zugfUU6D2=CEG*kq7(p#cAwS}rq8+99g!}g2!cek*zSGA5&1eph3+%q_DDyD=V=ugV zM`zVzJJ3zVEceY7$SRCN9}z zlH4nQ3knUe8R2Rz&FLcZ>$2aw1=qBT{=;v1;g83+iE@TZsAxZ{3u2T`qJdq_>^K6Q z4!|f)1dKprZcA~Panm>f?{7_v(w5&u%|}_YcUKt9_N;w>z@oJy`!+jk8TLU29Le-n2g(H`EWm(6rQn>*OsW|sN(K3^c*>kVdq zPB(9%p4OKnE354|2c8VQ`LdE$&Sv=?N8Bv!7|iX&v^ zD^N@#Iw$nFJWx;!^C8dvuiqQODUuX_cSa4;42Kf0O&iRxZMM34BX z?nq=KuAX}PL4>ulobDg7pklkFcba@PR~VoY5oDo!q)Kbf8F zzftcuS^Lku6IUa7;=21zmIMpoy@=f!63L!-w$zNj4Wsk}i>e9V)u?h;#5z%b*20ee z@^Eqlx($;$k5W~PGBoWgQIV=L!FET)kr2)V7NnCyeDlDIhehEjQA5_KsWDwlQ?ToQ z{sj_`a?PK4(Obg6*FwhlYSx<`G|ml(jEeM_qmS!HZKDeuE>XjVJ-18Rp|Ir%)PNA) zo9$OG;SIdiv6DSPa{Mgoou+ty0}#lVG1rOoGr)UNOQeS{qx3sdlKwrvmBi#`Hp#~v z+h;tNt8sTjU<@XB*X&_cU_79u%S_8}$upYW@g2JrJSxOpMdFzv&J<;68Sa>CU(F2r zkHDWO>_gF8I;2RU`^me{VGVZsBW}N=dsZr^0bEq>pT&VR(^oEktbnV3ubb$|vc)YF zUC4*{j~1qwchc)F7CQlblfx%~fA1HOwoEz7rycmdKoL5y8~;8W8n`T3@*5TF^a}D(H%7fu=k=2cldM|^D>Z4BOf2?Ir*l3TblfUJbT1%6lh3a( ze;y`A2^A7=AdJtcq%*63Gw-(*z-Ubmgk86F*>(|76??UbSD~;pG6p}UN||+d0Y%UE z9qaL07Al|i+Vhd2)|3Y9gA@k8K~iB#$2x(73YQ{pE!ecu_we{a6g7az4UsX_+1FJ$ zvlu{ki;?Tajir@bl>00DR(|Kj&5~iF8`2Ju4SHqVk+!JdiA8aLu@t>oNyBnmN+_B6 zm|YI(n7*1Y+{o^|v#j&WqTm6?^Uy!Bx6ZeBO_OiI=c=C0lo{x;zdL9;uBhQ!pJ_sr z-!o7YoTv+3kI2B~Peno1`;t7WYj(U@%Q`ui4&IL&h>b6m@NMy5+Zuy3)7(Qs#Q()cSd5Xh6#oCN zz<9SljBGP34VfZrV>{&Q`c|{LY>-X%lI5@!ytdh#b_#NTlc;2uR45t|ZKLMJ1f`H<699>6Y*}^SZk01 zmxBo0*o)aPDMv}K^uezz|AN<|?01%|P&0td{hXCAmT@{s$Z%mqO2M*(?aO1sLxr3u zU=wp_T%px}@$zOSH5nA&XR3d^DgGNm>87!W;93E2V|^dM&Il9 zi}AOiD}!@;^G_-o`3{b+!E8v?tI6 zAK@^%kWEt`cXX-B;c+lgWS6UDxg^AaR>3I<)S-^`i+=U^^*@D4e{npnBcwQ(k6Wob zYd@5y?0CW!=Kup&#e(ejzWp5PI30&-=?s><-@3- z&NWnjQT6{(iU&4N>>FpWc_8ne@E4Cx25-x&z4#ZasD-PF7$g+&Lr;Ug&R(;W+aoT?w(i#rKpw50##Iy15M8g-ptQ{B7%= zx6~9cB&JWII1nb0L7z|AsRZd*R_WG}Lg>(cG>#;kOh1C)z!z*`Y$YVw1g5Z!tW2;j zqWrYie&hOQ%vd!Pn8eP+?=1$y2@$xUcsJilVa-Bb(d*2A zmaaJqVBRrtPCQ4z`a1GaEJ^19iF3W6m8D~*=TXhkmJ)&nJA=2NOQd7e4hU*n{FdII zk0^V@cAojz^8E>=@qMi|BmRLv&_4O~!y6)ARLpG6e;Q=(FccxF=xp;a-&Xk_@}^Ok z$(TY^avM$rkgiJ)UvfQ{Fh_K!p(OKvv0)mCH6gV2s6b5zfL^|_!5C99Oygz=l6%Va zzuU(Kp|)A&ZsqzcFhe}nzA(9g6(SYE15m1h0WKyrd8u!~T=59=t25*Y3teZutuRDUfni-_dg|} zObGM^e>l=|CF_YpQ6Lb1VxFleIC;UCNf-pQ1RgTuU2^f>`f&5l7neRJ32v1Tyu@oBNFVeU$Q--*3I2cJf< zu^;J!DH+0gGNezQy)g4JhpM>FWj*HAd*Mfd5uLg}N+-WYPIT)kpT5C#`u*s>Y(=pj zW(*Su%$xgFFKAg;(N64|`C6m_OpUNH5|62cn!j$$SB(eR^-d|HbIT z4}Uw=_JEz$S5{dvNcvcRDL!rb$+g}Gvl=E~MV-^!IXkQVv(*Qoc=rR%>;d?zjOd5* ze$0aoPu)RxRUY~_neKeLg4;B!R~wLMYX6cz2GU=4@uws&JpM73m+DT7FkpZwdMA&4 zu>S7~M(wo&pD3PE3Gk$FRVy+c5cFd6k}4x66Fi~t?~xXW|6q| zh)t}jH9OYnRKUp52r}u>T&dXy$zr^~p@`a>7_2-4nNt#CK2dp>ybFY*ZYErXJUkY- zgFr4jaG6T(FgR2L7WEqaAgbq3FP8}jj<>Mf>bs@sTC(Jyk!MjF#C)eu3xHaNCFW zzex1mB3ru4dpAW7*w_#37gB#485JTi)syfO{+0`{UwW~B;8``?U6L@&EmG>gKce(G zx2E;*PFH`)aHvu_b}Qp?{fXDX@ZRy&6@w#VjwNn?s#H;oC#&AFf7IyT4wKI{A1tk3 zXCTRLjbd%9-H0egQV9L)kMffO(--i{>N!DYv;yVi;)c=P{IYwvuanA_e=g9oKAHyk zZ4u6-1$fzZa=EDi+@$Y)tjULeo4P_wW+*QDkrBSWmb1N2y#?!A6Xs zPG|aV2Ei8&G1-g?VaYXFuENK(ZHi&OHAOW-c3-UbL3TqcLOrHM`JLFjS~Y`($)VWJ8+5$AdsfN;D%?aa1QZ#fN!H? z%^d)lT|Z|=I;d}aB6ax|6|<=4*OB?F4Z$@CrS~tbVIHOr*dH8RdNsj+L*fy@ckmIM z+r%l9gc}i7N&RdLa)03f7J%GWCx9n4jw-y5j|=?ND@(D8}`N+7%9auV4ty;HX$j!AtAJXtm` zqW2Lp!Ie8|n%26)TpRAJy&a>d9tiSf?AC%w(qb7*h>3QvYZb3{?klWM2SN>vi;5sc z>rf1|g_6Beny+a361=`jLGg}%x>V^x2=;pp|8?4O;;BQ^`~=IREh8=XirO}mOzF@q z{mqIXK3-|>l|QLK?~{(r+Gn>~51>77_p;JBhpC|zO^Tiklx9ACam~gGmf2z_N&)(7 zTBzfn$%1{Eh06qj`h*4qZ4$E8?$X*5&>g+$W-0r7Juk!o|MqJBoq<4q7&2g<&Gq)e zqAaa%?Z-1i;ky8E>*Y#Nyta?CFW?OgA2d z@^h}{w~bBsMlmJs#YicCWM^ZvE+d_xXJ(st=ZOYp(p3w#j?H)bD>i@F3`qv%#9q5`v7CU_+~CG6LNpUY}X2r7+xg&#&A4x z@pSR>9lr)B$80jOKw!e&=!)6>?({}{huS<*Mh~2mRCIAx^Pp!z4UsNP@t55+1>DQ|qeAR6dYLuF!2NBo5F#O?*qOA#_lrK;|^pTUIr8eb3CTkPK zlEyEn=|WMD;t0NwLJ_g_yX#3JLc5x^KIkr^Sgn4rLkX**_6pNKLIfSM(Pd*w5 zlef-);?S-qeafH*B>V7Cc41p1M6--A(kabgWjZA)hatiJ&ze1f;Rvh@-Lu~X;Aiei z+OpJ2^Sn2Fj<^U!eB(Fxak=L%sXIoh+5GPEadxvFD8a^BXjh-10TOTiD_0hTJ=jnV6QNLs^0{b-F%^&HPN~3DJVOr3dNBC+5E0h zo5JxnEQUtogw${$q+nIj2LlMu!wR6CXz7`CS4XwG5$)Q|I)jEbWFve##(dcU#co*e zJJOoW?CSitG2Iw~e@>pKAuIL!=qnl18wl}CfSkv$#Y+D;dLnXVJa`8G~B4TfEN6QS!N`W0c|CJbE$l~GOLKyss_ zHQLltViSQ_R0nFPiWv+nC;|p5l=l(*(sBlj#-(qoaxk-P=~lIMygO_@8>Lm-RZg>C zv?QtEUezgyhSv^sK#ti0I-j>}=>cjkvl^ezD@7}N;bE+bs9amPQowM3Rm{uVZYZj7 z<${Y5@;ljQ{P5mcXX=P~8I_Juj!1|I>c1`W&u;GSd3mOxMTw*n;F8WX%z2ty=MdDl zPS%I8`v4kt7mph+AR+1Q#HHu>f_;lu#*QcA0r2>$_rMhb%3b-gk;U2W{~$EM#Zw;N zwiNW9g=9Ve)Ab5L>AMVnKCjEw!bXa$$Bb#f|5aDwERJy*7ngB!4M{hMX*tiXng|cf{2Q%ujeyR9{|NCymJY9 zrl*ZpT9df@BERO<&OkNeX)!P6WRiR>S!q2qNHXPX{B6HwN6id>Is?a2kLzS8;RaM! z3cUPeRe9EI=JTZ)z0Z4*+l02t)P!}_yZ%~Rbf=JEMf~bQxs7$AZwi6z+sV3s6@vlS zfbHm{wH}9fz9cFaWS?8n_bUi$`qE{UKIy}AJ73vCJrp!?N+@ksI#opTlW+CxDt%ta z^QX3+Q=UmH%+s}hWITmoa(OkbshU1|E_9s8qc?WUpupqJKTCX%QL*?3yOq4)_aV6e3m!<)72wNc70`Hjj+|UL;Yf3+rW=QKe zwM#|I7Q_|o;#t{}y8~ZLv7~u1ga_7(ICtN$T=#m6&zrA*W0DHNzFq!IJ?le(YFg20AfR*(%G^q67-fSG?qvY=J@It#%ZT0j}|=UBiOhQUvu z2TT$k)r^&Yld*|uoE#bS*iv%oo-~D+mnK4NW8GN?)K4es))bgrO~LnTAZFAE$cI%x z_+;*cZX-|@3C=#oXihJ|T=#X}m=trDNq4m=d?}3>jRmZxP#3WPIw({-fIS}?G)Q@< zOPzr0llGT-#Ht+%KR6mqqh+8(3xeh>H}kXg1>zllg5_8-Zo(pDM)au;5oeZy>XEHq z-?5@c@z;srC^`Xyo6{zOyMXu^A4rF7cQFNBlP42uF`9&FzA7&D&wVa=Aq46A0Spg> z5oc<(pI6wWU$Yvm^=XGV=laY$*!5LFZ~X~$+N_!8EXdX+_DLgi1P0GU#we|OmBS+c z

pj<>}esEcrh;g;Tg{KmGFYuB}hY`&J`8mOpc0^LG|<1T_e~d${VGmqaCGu5=&} zo7n-tAZ=}7F)ay6Aw6;`g>ax!b~pgpR2s@y4HP*zk*RO5{n0PwnVwZb6gu#asAV_6 zU;rQDN#G+p`Ol5AGXBVMC!KgFH@xHf{}5|`o0mliu?UE@_QVRj{;-KD$6(!FM-Nd! z*bCL1u_ck-9xC&r;W2MJLwA**ufo;+4UI>AbN!^0EPV|I^xM?QTk8 z6o#lK3gRI_IO&wK@E*2b)XLyl_i9W1NB%uf&HfAihd00kZ3Hq9po)j+KWP5eW?Z3v z;_<`i?)@>UqHwI50-Sead@IYD{_=pRLpcWFzv+yRX(1*e$f9}%A^9mYeBSGUl}xSM z_H%t$@*euZMz)q1oYMQ+|H?9#2HE{6PK4@Fcc8F#rapEBqlhb~x$pIdkBSeZ#9U9) z5{}!J=cp_N75dQFwOku<-UWnKbcP*&L5_b6;FWAhy1A?aJ63aYnnAanf>k7$2xlGN zwDCHDc=eW&1BMeq`q`D@Jip>{$qUw0IG{r=J$A<&ZSBw0-UUBzqnaT zNG&Rz(+YajyVA0&GrRm|m2{gy0ONIz^-4|0qj)0v#`NC(rM20>=e;Mn*;&ACt8{~I zqJc0Q>_(9Xwg-AS@V=~wzldI)-eG3Ti}Jpz*p3xTrhyF=Q2aA5z6(@;gvj*g^TZU- z65guG1nP{RDN0v&>%g{W%;02trtXI6y@gXlwslp1h8fYQ<0yDT)Zq}8?R~s#(*nK| z@dnkM8NNLhM4BTIQ>@VFms|+mVkU#n)sr0gB6i&2;4rvzluOrPkT;B13~-wvjgi*UqEJz;GosbhtZFp|lr| z;p(u`9e3_byIX9zJwRl3ZzT<&jCNt@x=NIN31G?xzAIqkM5xC*QdxNJGIR49 zeUt!kUITbnh-^&fPX#2^U@Q|!e~%#uYD@i+gyqwjur;a{+lTCb)k8$opY zuD!%L1#n1R))Fs&zY}wJ-{W5?>0%Qd*GCY|Ee(jzdc;Yo!QAY2vE~gGv|9 z{lH7s#(PN*58e{=B>C3=g*2Bl<;zR2Y0>fAl|oqudZKyvL{Pp;>Ln@;TtJm)CnMAm zQQJZ;!CW$5wu0l+FU!7Rc7IUA6_Am|^e8+2zM)#e0WF??sc5=3!;!l7zzN8fQl0H` z5sf0vum3&~P_OtJ;r7K&xq%wwS;!Tg>9i?MLl? z+4uiQ;WGo@HFnbt6;IZGi0&pOM`TefJ=j1#n{i-GuV%^p2rm8>jniZ9dX0m(pWBSq zi=@ZVMY-31DqsBkk9+DqsQj9vFV+N!IGUyOyvt zidMsaPY4WCw9Iw;mRzC4WC`u$Xr0DzkWsfLiO!V}$8+;H{E6C0as69o6hd43G@}cl zprB7N=cVq^VF)LIHm+b68@9bYrN4hxu=g?fWU%L_!icMzFc2Dkk55Kxn5Anqyd+Zl zS#-7M+h!Fxr&?(rloe4C{cN&tgY6U$r$Ix1MBX4QX%po;l)C+<&66ygkgYNc!v1r+ zxp%Y7Sc3}tL+53xBJ=M&rt12mVMxQBl>N_9fvs9V6BoqLyXaH`s>q|xG96T+Jv_16 zzf8Fs+8VDZ=+wnzCl=gMu{ccZv4r!SN!Qn%63Wl7T}5a*B*rm?D}jFm3SZ`R$d|Z( zJ|Bwe`0|c{GqK0gu41sg^}ZFQjrq3LsffZ#t+>#6!Z}(0nmmW!&|>jcAcO&;^JKX8 zLqN|X4EbXnXR=Rb5PIWIW^4_#6nz=hg5GTceeOEdq5aFz0%P7S67GYlJbe31Z_$Gu?Tn*#Jk~pYhchHyi_AUAR$pkPsqqDPgm>bvNA?gE~R3 z9f!|7WQ#0%Yd=G`$#qsfUG1^{d^GRU*iRi77Sp13VXE%aWh77ZK3(xnWyu*EyG*;i zDFwU~FAnpeI)FGIpnuw_c&t=^c!i7in(;ow?H~QS#cfnz+NZf%iio1vxs^%iuW^D5 zvv)U>rls`MrWLvrA>2sV-CD^1xY=0T7b#l~pD%H|(bw)FYFGWh6NC(+XN7bt>P`m${!s&34@2>yqN=1XRK(4T4?@5O@bgfb31 zff^cGW3%ye<@hO@arj|IPOLQ0p9~sos}K=Lh?J~cZUEEh4>aT*P9&06SB#tTn06TpNf zO?H9&E1&G;#lQ9mZ9L{PS z+ToI3wy$!+#_k^zg2+J!`p3xLO99B+IVP8(rl$v_>X(UsvYGTvSHbfEg?{&EHl*-j zu3Purtirpanb8hd>*(9P4|Aafvg6wHuud$K=v+v*IxsO zndWBtIK<7a(77VXw7vYjcvrvjNj;}PR&@}g!fd{QL3sB<=*K)u>)tB(ll3x9aRO$W zL0qAq)(=sC>B68nEJ!G8zD_2ePc89;+bhyMt$1jKNo1!yeAa{8qI@{?FPB8V)+)t- z%f~lEhJ%dPzBQ0|iiQ_5K^$-4xa#V%7M9+6F+Uy272jz_*{}HKyFEkcjss_<$)+kf z{4>mq7i~Dmbjp`R)!a2Rq3`UBR&?RU61JhWIp>Lg(dZXczqVkiBjrt<3sc2P#}0+` zt@(bPEm@#;5Mm4Gqkz4cA!87oS+x(lYx8Aio8RX!Sz1okHJTnU#7HM|C_Tlk+)N7f z0Jc`^#>sBF!Rby`eCxO+WZ~hgPw>HsX{J`#ft09E1d9N|!kC<7nLlUH!Nvh-4{(3y zy~l5VSf`=i6($ng)Iewb8r(0(g>T>=N+o*i=a*SOSiS$T*+}ta0N2PnHH+xDWfKY} zwV<&hEYkjDWt(!+Z{CPirP0{|$u(p>!vgsH3j~NlYM(%37I*XOWCi#3q;6rI z_Mv*t!;NrHv&}I!_yiO1_Qyw}{-qxqzFarfKyQNZ>NCFm#ens$dOf@p_>tE^3G~ZZ zo=z+8J_j?67e`E3d>hznjx+E5pfkeB+{c(recoV{!c=-)~ zNgRVs%%Eqn*XJE@B6qxjA%0KWr;@1$(oR>5+7^Q=$rD`)R;@YciSHe!KJ`@KSP~D* z7Cwl1&M6-6!|Q{r6=!cw{kyLH6~v3hvf-vq@3ByyKq69GMSx84XIc#n3AFVzmXA=B z8YwyI54Ly(D>5R-C_K^4^HqadGI+~>RT!xuk3kbwZbkpM;$0GXGqCfRTa%^D6AN3% zF++Ac6H*Ln{FpV9Q%lO2gTH{}buPCK37={}x}01^ar|I7x)zOz%^0X8p(HvjzMEC*|*$!ygr@!7813cCsfL|GRTlqPP?wh=dCOPK|5Ds0=^Ch=2uc*V+4j+hWCL zpS&69v^-j+OJ!hP9}CRKiRq~NYZDc(jH0M<78Q4Ma?dU~sU*6^XvzHYN%t)0^^*rz zgLZ7*xhq_4d>K(Ur0XPcXL|GKbB>I<;fo;~9cpNpe!#Y5DNx|hQv#STyg`d}>~XU0 zRF=O`KX^Y=evl5BI2nF_2(k73P#PXEkv9QV>(PW(>Mam`Mv1D?ax6-)#JYz7uZ8sA zoK`TKN$-WzNS@}A&7{4^i<`4YOsyfuqvUrJ4V;w-9*eu&ip}*az>!4DqE-vZC;QZc zir!6U_*=U^8#euSBf`nP`f!E#jbZ>xK(xQy22tzKRc;t){+xx^sFq`kfAr|#eu#Cew7jIU0=VaE&z=m$W zT)r^HC%JgBZF83^pZ9LWED>c=yaCZ46~irE0jjYmnBP<+dAHb+aHN}LaWnFiPUq?s ztqgT_{)%Wlj46}!cbAhxe@I@}an_%ZoTy+3$KBO32LR=VH?f5vL zhE;9oMroWiE}AV1uhBHEK~l{dMb#MrFM$V`+Jq|A8AT|lRULV|e^!P;dJ>W8pcKm% zdJ0Zwe>k=Wx{U$=;^t(#Ovm79nOXezJKP>8xLge>BNBsT1Ok(;>1N$V zj)Q1fM1f}x*3QVAqY*JMXx9$+=pZhkfS;s&BSVib^O7qi4)<}^kOecxt+7I%_w)*w zdk4f%RjwUXR^SvEOg$NWi`@*?=ULGoxj@}1lV9fq`0S#$f8oNgWj5D!O8OI<#%07k z{+J~l@m*Q(6`EHyFTku0ms=sNF1bjZjFs5WQzl)qIgp;stafxF{{8b0LpURIfCz%5 zkhg+mdQL8BPNJMICQ=%Cqo1#C&ZV%(-3m2aV6d|xmKG$JL^F=%}%myQAlljj%9il>QdT&mBFOt1@QO=Anl^^S%6 z(|wmvK9JKc@`dRD(l2Y8G^NWA)nGBk0v>P|zlBdOQ+cRfLjQjO!VW$09wW5Cri?z3 zezTc7cQG;2NcpGgTxpTX9fWandRguehhI=e>?UE4Xvh))sCRPCq^zq>rL977xECv zHEFoW+L~(?A9v!(7&s#U_1&(l1R|pZ@TWIB@T#B`Q~MFt6U6!i=%^4{cX%=L8WCJZ zwhcke&Jv%-ATTMP9O$c4*OMaHki_TxxGt}13@_!VE+4qSn)zHO9ORQe7Z*)h<3nDd zf5Yqf^X*PA{!5dHegtMDQS;A`&093%JYtWUGf!gQBfek`4$h2FA(TJ)_st$3lO@X- zBK5ozUVI1++m^#dftoA8eIT)c3eqjQ`I z7FMO#G6L;i`%!c7q4yvu`F|`&^+!YRlu_2>73DH7IDs~apd+{fQ2_D-uW$LztH*iC zNyptuZQ3Iqmqtn#4KR3sM~h2=`vO-Qn>*L68SHgXar<;L_?Ad_>LPXWe*{S4dh+F!jkhKddq>H7JJ8Ic?E3)u@OM@(P*1J>f~00z z7}|SMp9Ej41I?-d2x!MVG4#^p>JTeKfTbe-#ZVLnTDohU@O z2fYVuu3eq27UY8B?}d@CMVxcO3I0vTwAPlmaH%0efm|mb`Z4NkU;FBQgH=a91)xBz(W}S6p$FYt|YQq1|k9$F{4>e@BCnsH0eP z{-c=?BLw+N%Z_9-cQ0#2N>L_TUhtK=2H?aVvtkAYcgFu3a(j$lmS&wky^?MaUQ`q4 zX1lh4)`2Oc2=AUYSe6drA8IdsMg9j(MU2*G4mfBgIdX9Ddshf2=70lANkNH}8CPY0S_zij>yy8wlCO>Nz~ zF||f#<)Y|j+Tew{p-kpV*E*QAaYY?Lcs5RWDqge1TrQY+m7?D_OLcbokSA9JzxV?c zX4nn~_v?T0DroKhTaHn!052SW)XIMVs6i!2uz0q8u?!2|<@9g0f06x(G%mlja4XA0 zjmi`s8QU8?5JV5DNu?*ElK5{m5oY845QV-5k#Qcm+aqE_*&4$EcB#dJ=HrjnRO+27 zq5b`ss~-&zBgA+x?QV;%p8wa*C1`0O6owU5ExI)ZLKveIKX1$lAmxT?H;8$$PdEU1 zMi%G-5&EeA(9GRqfBb(QMkMD7>1>I`6hd9$^VhcBkq^A@TnoQfQ7#UupzR|cV#vV^R`UFytEi$J{hqt6xhXHO#05jCJ;kInKeHSJ3T>Sd1f2|D_yFBkIP}4!1yC zYy7OTtNo~pBmmV`+}^75>NfzGa{m}`l@FJCT*o&W}lb>gDvPd z!v-A_HY{yxTW`Us5a+62MGtm*$Wao$eP1s{i)^-8uP!BCILX5aW0(RjfSF}F{O2CF2T89W7yGtH7<@-s`&35}e?J8CvCUcFlxTfXrR9~CRjF+@zSOB>P!}m5W(zB|^g60s? zf27$6F5J4_ZBOj=qH>#^@HH1@=OB}e~3}ewn zct}ElnF6KlHpPA?CSC@@;^^O%`Y=xkRB6^11dlWs_(8?BPW;MX*KkH;X60%X!`D)B^}J(I|0osO_H¬F|tf0NAM zIyEv2qv1QeB_o6;*la*@iEI612ueb(}jCkl)$?sW>|+RrMNuwee(U44%nKcn{&M9Cx?cvjA(akwlz zJqO>|7X^sS*yQIfv(35MF1gz9e~WVVUn|dC0!>~{69FO1FYU^zG;m`-lRST4vL0l8 z$wY9$xM&~|^ry;ozIxlhvw!eP-_Bx0D!GE53HUwv{(OMFllGT6{>AkCLa+GizBneZ z{goSmduhJkQ5ny9gB(_kBpxj6#Sl7_Gl3wgKtt0dYm+--U=@XA%xG}pe={YLcYE`n znSvZ`J)?~jY}V==vkoMi>9Cu(-r>^95Cs635zl8(@o5HP4~3C;Lu=%AuOMJSi$>>+ zuhF3S_(vR&l_yeHvo!9Y-;|B;R%q~{mKX_!bk8Ba(Ca$RfKU?25ZZwPeS%Q}?8b;& zFZ}~yRmvDhU1nbJa}oqbOu_i|o&+*8?3--2ZP=dgYpTd`!LHiE{uW#k4aX#e!h-NPo#4)B~zZ}@!Q zQD6^NUp1C1*bhWu>-eG^C=VH^ySw6mJQzYCxS-?jau>|ww71}We`AAQPmn^^tEyLO z4Aa@6?P4q`gfi*#N0WGe!|+FQV;jVv+gw8h)<=FOdgxvDuBW>{_@kdLfUR@@otHcc zhCTgXK9pyk-0xRB>Y7g@66|msD#J_ioI4-5DmsX`cYe~O&PUc(&6rLI>`-ceRH%9f zpzuo%3~c*ahOyCte?HvKlvQMi{A5919(}yWbIq!6cXR{%kgCO%Y^Eg_Y87Ld?QCiF z2w8+M#RY8NdybUM_*AXnG;~-qL`r6ZE6bn+p(U6J?w^wPX8gedb>xx*0r%aDjihPm zJEWN*MZQ3L+zFH6JS6VWg`z&ONaYC)ExoBfQL0fxLdjH?e>(h9B`q(K}+(KKe#v67|{MCb9vr0&Mpi0!Kmha`h!mA**Vl=p-8azT&p z?00?mT>PMN$C>mu=T8n8$6**AB%oX=i}fs(DKnwrkxKlE;O*10rwo`|+4US`KVR?g z%A9&z^_QrlQ$fw@ag2vZ57oZK{a0hmCsZ_MJO^6Re}8}mXF)!Rr@0Oyo zc~4>jQ-I+exAk746V4f!_`B>dH1Zh=u?|b@J6<2VLU7M)kK2|DoPSF+m=J==;j+^8 zD&qlduDFY{8RlYs;MV~IaFUI4sFcv*nx+R{b)p9!sJApfinP{I4uHQHox&zQM=H`! zqvl{Je{aakw-A*|b5RluWYnu-4)^=DPp3!)&JN`wE(Gr=7akemVSduen7$po=&`1a z=Ht?2ek{bB6}1)6esdyNuK?mZ5ef;iu^tL!c>Uo%h=GwHU*0<&`3pm)3e*yOOW%)N zIK8NUU#KV{t7LZfKXY8IWRz@@Dt*CT`@vn3f9PTaObehrRHk4!KT$O|IHej|eoDU) z-lBL*lT4i4r;jEz9F^$0%L@dfGj5TL=asELM0w)S9ch#YcLi8B((Oq2z;S{QcLlk# z@$w2NWrBDhgDV$FsC%ev!fE!1Oy)URt%bTna@mB zh+BHx4DijfmvKx56PFWw0~WVl@dPGYm#gIi6}Op81xaIpPy9Rf6_r{@dcZcBa5&{Gb1a|@icL@;O-7N%rJA2>fWbgBQf4{+iX0BQ? z*Q`}_bu*wMQ&DFUwE&p`r9h5uOl-`o`~U?-HIRd;BQKL0(8}H3)CIuK%*x7%NJS;? z0yK5A0Xa&Tx&iqCJZ{zie`Rwwa46V=m6Z>X3Lp)11iFA1EdXZT07amisfM=`kPSd< z`WH|Exw-dz&;aTHG}R^5)B)0Jf6AIF>U7ND#Om%& zP9T^6<07uEp()J>kPubUkOTm=7y;6n>Kea)Y5*O<{H+)PN*dtx-*v!_zrz(JHAFRZ zRV3M1e)j-i19$*kTy1`r{U2`BU}k_n)WD&ZE+B`$3IJ%W-Q1k`Sy((hJ(;cCUEP>L zE>_G=_J8ryu(ojpe|Umi>;T|b7oa`xFJasrEx>ZRSp)x0@Ox7L3O43IM_1tQASuw_ ziwd_w)BbOFfGZIAuQJxAu7AZUsHi9a987H--GGj!j^=xXEY=K6O=Ai&bb9{8KR>+e0Yas11sD5@kYC8@5#qyQc~MyCVLUPr?SQlN-pzo8|wRYdc4fr=#!x zYqzv!6w8%HY=bTfE56A1^~UxtyzAT`)gW$o7sMw z!7}*!I)R)3mZtWuKz|!cAovB**VWVm2yk<82m1T|bK&0zk&OpnVPozF9(3?wLHsMb ztfM6e!1uQq%;Y~y|2G1(e;rgh@F}$bIof*zEP$4Xe=JHMH}F8v{{QEk{ZB0^cYAv! zQwJdJ|4RD5ex?pK_TK;U{2vc(;BT(9N+1^pQ~Uo}vvHNO@d8??*tnTn|1Ip_c3C%5 z@a&5^TG<1^oAQ@Q^Y?MG2hT0|?y>oObpe>ze#`o=HSkE9+c^SVT>%{2e=PyQGW-u= zu=c;{e*##{va?jtv?8yMf<;q z4~$Izi`dw~uBNW$Hem7XEr9>EbF%+7y8&HnT0&f@#@L&1ZSivMM|IrFKzopF| zf6M_+XKDWrcQ7%le?Tw+>pyhBTWjs@WDRuuhX>g9k9@3PTAIJtS z{*P2_;9fv~ih+GWj=+B`gFA8hvkZ=PG6mo3|I(F{?ftwgcQelJ zAUEK@60rSt{mcCC3~X#*C0zai!O^aNfAWL7cC|Nkwf=_#IL|-B!5;4afM8ub{sFH~E7Td02@aFyQ=xWDdh);}ly|DODRVRbhbkR4Fl#sd7V z=N~SLrr;^`(q{!>1mCvPlNMYc@?6axrR zBt=IHw3szRaugSXD!Rz&4&@3yf9RHR&g8TuwUGccM~}q$I=Ua?*e71muhPj4D%w_x zU_49a*qX6i>@mC+(Fi&T7pFQQ++H8B5@JnzMVIJjO+G~6jLN|}eeK5FuQIa6c$fEU z8XNTmQ#ZPoL6pI~YZ&u~sf0!W3>MBHKGY^Vj~9XA0!k>yPvim=S?bJaKziW1ZR}$n%P9|ki!7!Z#!0E}Fk1)G5gRpk zh9b!JajnDC<|VRVV=$^vqnt5FZ-`etoal|e)f}B4(d}?!%O;F5%me5*S5F|l@djZc zZzo5r2d7;WLq5Ca+A7Yaf1wB7qRq{g&_(>{K+#_tm)_B3p(Ir#Jv&}}*Tbms`lwwD zv4^5hRr{qf&REux~ssT4IGJp6_)Iy1N>#79E1B^WC4Se8zZ8Qm0`3)7eZufBSOky}V2Kly5=m z0y?)BG2GHz*lXpt9u^`A^8Eo>%Njw@?M14DQSW;7!FmvFMJv}er?*OnRehBDK!(Lz zImeusz;ik-D+$H*<|`82m8&w>hBB$It4HO&z0xtb`4OOTu#$W$ zmG)I9W@Mkre+v+`O*;tFg&PsA5fDwLgBu#x-Lmc}g66kLTtJd`AvaPET{9AE2@eRl z&28D;F9$uFcPHLuv0cwM{v;BnkcFOqF&J6G<;8KD)`)X?aW?+N`qDOtttt#d1)UVt zx_=M0 z1OX!ye~>qQ!&?N>@Ov!!(7EWuEO$G)ZGD%i`}b9%&p}v<^Gjq)_ngP!^1CXWq>EVb z9XB$}c^R$|DbiG-tLit?#$?I(A^JzKp~;6QXas5Ri|6|FvCSc?T^KMgjGY(z-!e~o zfFw_v5T3t-Sh4Cz%opAk38i=HZRS;bRZ9#Gf9EX`JCD%|quh&NAn!0-!@&+AiM8|K zhQl8l)v~|`r+%#YX%hPINw#w_z5L7F4I8Jf#lnfQ$q^j!8`DdNC~tfD!U3nLeeBZ| zR!q~J0e@$P`-xt^jpoxhwhwuMOi^Jqm5+Bxd4bO){zxn(A;CmH{EuNR37BZyh)znc zf70wOu2$C7sXHS=8@EH^Vth7wp^fI%CqibQt{_9111F7% zQdBkTWPTSL9xNg}|&5=qFF?zLf_VC?fa@(T<1p(-9VRx0B zsr#G+OinSEdhod~1lhM7am&R0$4v2{?rx@|%V`IaT<23v4J35Kk<}d2l$n8?ENkj+ zr_r+psZgC!n?DAPw9dQLlOc0Be>ZX}H1jJ)7zS^H@$~0Yr+b0Sy94)xDy#yJ99^pE z>dt*e!>^xGiJkexaW)S%nwJPiNbdC`&uuYf6dkvpG)o;U975+{^s~+FLL4)mk_tZ< z52oph%T%xXt)n}1NpiOI3W((R@*p%y42iP5zY~M0$B7Efd7BAM{=+o3f4hg@rxfeg zOm+Y*C*p<_&h2IW^hM;%@g*-}p_{TtD?FC+_m6pI4HYteE;m}y*|mw}(Knm|v_d3V zuvEEjU0hs|ff`L@I&7SDor9q;k8;GdnM6jj6^9q%XmHR8e`E8@WOO)q~t$|hv6 zboh=dd0_dPlm5H9JhsUhFsbGy_Vc8KfpHLatwHNET>8jb!dt%e1TGS60ri}p6t0nr z?-@^L()|_StO{S(X8Ke~YtT?jK1rV?;){42qGGSuT+pW?4O&r7!)_nUZ|{9OB5F z)KQHnCoGGUzlJQ;X8W2#Jm(gdx(sC1zIq3E!-Plw6WVy2a^%HJp~dyuYZSk8+cIdV z8m+{hqrcW+^3o4-f17l*xzH=^QJ2AK$?+ZY?UF~Kb$)(nPmLW)5yRC*I9ZWL{o6;n z$IE%*X!v*j#;}YZgXPbQe}dvn#R6Sa($|I*v?rwTtu0FM(ArASm(@YZtEG$6SSCZ` z8*_AP9p5TZgsmct?BsI>Ti~Dk%eBRVevs$T8C7OmTN3sze`jE;_K~8|2MBEnB2d#5 z`o`|$7#`@;7clGWn-n(Df1YYkQbpJ`hnssquKamJV>3fZn(RJ!J6?Rd11YtJw$5;~ zto7g?o^&*FsMBfldRtyr7b!oWPbw8@PRr2G(+lH7fToRX{tHwi=x*i-z_PbGqy9*Y z*XV$Fc>CGHf7j>&iEC`xFdkDh>%%Gh{DQHUi17y);DIi`QdS{9S9)SpVTz`nKUZhE z$33C8X$s}Hm7=~4xqFHmKRcY*X6oD_$T~^MA&K{TvL?CTxaVY01hn4BkiMQ(S*KnI z#vpxU>{4s+ha^xA#oT#k&w}3ZAr$9x{4oHj{o9C2e~hA=WYD0uv9Ay;Uo_L;oN7#I z5{|pRxPq%ZF0A_~*?qOVZb$>dO)`5a0Z?|y?eSL>cOG)wW=t%CYnVbBQqGU)v=o;Q z(~JCT?e(fpDyIk2F{2dmv1<@4LFEQhI&{rW*kZMQF2 zRBtEGLK8M4nL{fzaQflH+IPF#G=@XyJ~SoT%SOH&Kf=^EI1`krL9an8uAe`&5Rwb1 z?q{_Oaru#=oKRR%E)NW^L8WGxk?1IrOU3e;ju*$a$6%bG?EmQ2hJXFJ zf0q)nl)ul3ZRE`CIzZ#tV`-^O_?isCO#0{LKt}0vDH(dwVz@(@b-^!wgwgh|Tv2iP zLX?9m8S-3W-9wcwz19Q?!t~uk>5RbugRNjc%!&=}iC+yKE>@v+Ui<-u%=`(+L3#7U z5A3U_&L=2wQ8VoPLlPgLJ5Rcn7oP;9fA5u?41>f;zgtNZG|v_$LzR|eVkjP0s|S~J z9B$cfAnaK(tccpQx5rKT$Cvf0a9|y;yPaU!tvx|}=A$f-rWMGfFYx#zk=&gV2LY*> zD*Z;wowZ{8!pF6;*`^J-GC6=)4AHbGPS-QP%H4HZL~H-tq)p=8#`<<2zuHf`e{s8f zmG|?O`QdnQQtWr_uzXt;#O>G8@XsxXKdeI9UU$R4NK1*|#tO7YD-{1wn^%qzS>h}l zGZqo7EeI@Ev8qe#lh$zIt%dc#op720(s4r{Z(kLQ&s_w)8Mr{0Ueq4#$d(le4_YYc z9*Q3Sctml!bD2}%i7RZ}8P2+rf4e5Jl0vXy#x`*Pd06HyMJ(iwRtoi%bjwQ`m**{^ zCuQV7hzUWx*UC0ikhd>T^Le_jAC<{<>+1G8&A_kZ31QF9Bh$z?4+5iQx#&j_N@ojz zepaHr7>Wpovtt3(H;{s8FeNaY7wUa%4|+({_{YqOb0WKkcqEJ4$L(#Xe>}6*z2~^Y zyS)n+#eNht?U-%IjH4NL9_RZcB`HiyC`u3DS>Eyc~ z-n~$%Rzi8@lznk$Q&b4=6>4sjM8jtc9Qu}n%p+iv7eAtk9%AtB%uFH`T+lTEb40p@ zma3U@COo_dVO=(khVU3Zf92+!k4G+RRu~~p&-7(}@PczmqQZqsJFZAinCS>)p^P3i zZ!$x6G)b&CHk%H=P(3j!d*Qjs^UZcn{=jl@K6E*;^;Z1Cs*#xnd1}3Lg}9XX4588Z z{Z@?V0VOv=c|??-f6I@H8_BJxz&4Hm+oQ3-<3Njvj)`x~6%-cDfBpRtjovIT^5SfA zI*_E?WxyxqkDb<~egMvkvjefWcMV?mb>1Oe6Z3r$HZ(oi9a)f+EKug13B{Ri^)cG6 zd)^)il?*ZdSERi}T~n~_1ddg`4{twhMs?mb;GViszS||StBxk@9jm$+-t17}RKA>i z=H(~-8DqmT#iPwEf4`XgLsD*5Snkrp-(dR#Oy5-|l~2m{(TKUeKzVA-rhxe%Ek)8)hCAX=`D6b|F3^wa`(kX3 z^j?XLjMVWx_gRwd|& zaDqk4M4E!3TM>8!1w1_yYGt!_3xiBdhO{?BAIOObY|xH5S|7?G?<}))0DAG|M zgv`B~ino_zsT)=n-GLCIQAV}25t2CI6XR~SJ=0YddRN{-Z6cbiqD^2pDrtBXkv5;( zFxqXFR_^sWf5=!8*ZHF<$azdD_p`zd=FbhA4;In~3T<-m-m);JC99#~aw#Y2C1w?0 ztHcYUj>rDsCjRzGu_qGUOP#|OYl}K(sqMlH1Ijs4R3d}Dw+$q7p4fGwevnYT%xmp< zW0X^jVZ-W77UPOASN>|-m+JXT#4|oGq=@CoF{~R&DU+$&dT8#2~m_|&VdL$N< zS@=z`J0&BzX`Bs#KVgyDoJN$zP7R0#~8 z-ijS(TH2X>iVU8zS|~M8lVNgX)E4oU)tQ=R&~jp}KZoV|=A-PP3vp*4A(!eGxWFz_ zrw&D@X_*6Uv#mvX%Vx{!N`cy{mOCxdQ>vff8iJbjRRZ*G+;lPu)h?UR&iZ=nqAt`{ zf4fD8s~PbGp}F~cM(G%r{#Ksdypux#qD?93*k{TIIcqFbMce*xn;U%xd5@XBF;kXz zw9Vdf1-qs6A?#=-DMx$=#0CM7{_uk_Jv?>pa*gmbAn z57e9NLD)5h3Dh2{#u$pyS1z>!Da^&FW;`Ttagr35sXhLD`zEg{=3d;qC)Kg}Z2SSg zW9>bZV^gGXx%V7e>LA99#AK%3Jw?Q|m6~=HyNR*O4UCC$J?LY_kN9$d39FTHCD#Yqh!hvQx{cYqzBAP)eRe^z zML_KRRk)%xVK=TV{Oqv%QTH1BrlItG7-Jau;lZ8!60d>(Yp* zXjwGkOv}?<*I>W>(SyQG8^y?wd`sJ@PTo)}Ef9FL$cP3tA&%uu3PTFmVT zVvx%V68O&5V+d+vg;bi%f61rmE%8(J-{n9X28LhE3p8^*ME()Q zuX{Of4ye1M*R-z&p^7V1-E$LtZrQ*9wbp;jCgsMl5^G`zlkr z-+$OH-+e`B;QdRV-E!gN!( zCpcXJHh7yPK9!$A9gs6^8QcZ*jcln(n3Q3CSH0#@SE^E-_kD3;L1hF5lbJUUD#VjE zPs{K5AJJ&0MJbf*ON(Kos3D**g4wXC>3A69P#TGHW~GzLrl{kCAO! zYV*Yz_6IZtVelyje;mK(B^cIpox`awohZ?f>U$QkcbmYbKX@ia!9u@ux6{E%D0tLn z^73VQf#`tiQ4}RD;76*IvVrB_amz-{iBynBe(5NJC&!)9XT7tLjY3uR@rfqH69e+RYL*vw zq3zf=&7d;Mwkn?ki?$3c%*;2xXo>es~ z7kWh@Or2t&6q4R2tPcjaI?HRp)EFu5Pz{dV^Lu7$5v{*ISHFhoWJzbkqTWPRaFlq^!zpu5YR#@3uzlog}E*4>g#xkN{jedXebhlD8%4$OQ7avU8(HWMs<6d?OsH-c!>tr1| z$j;FLhQbPJ^rPU%+|fHSuE8!m)E~}5@1vJBX$N06vyh&?s^o}YKh%CZS=6z2F@117)H z1@)es%ywI|9PnhwfBd95@M-*7_1PvMwLIP{q7uEUWoJ2-<_I!GE$}EEXi^aRV+PB9 ze=(MyrAnHD#21aD;g+;p_U+)ziGRGs6lUV#AxqOQvQ&Zcz6!}hb#Cc%I~daTvZI~( z^ngAKkcJ;&)_<T*|Y*T4~R~m*V*aXXJOFUpT;J05PC} zo`I_nvr)-b}?U&h0yt_nN?M2C$Njz-5phvnSY5SUiOf6e|H*& zH@!aj`AwIFOp6`kOIB~X2vPXc`Djk^%oh`rHSQWLOtvnr>3P=JWZ&XcB+qw%-G-+{ zyYfrgx1Z!bO=6Fw&~cLcEmspXWyE*n!C2+dA#&Lsh^u-u)8qF=TG1<_kq|z@O+MUu>c9tfPl6iAZDrw~5J-Pj z(jImOfYf`!&Ct;7t(Cs*s}h`)G=25gKAymK8GWE=t>PeiKY~}=vOs%#>{GiiNQMNd z-K60nW*w0p+W+W(mCnkZ>Z7_|S-1q>OYXSvh=@zoky?!fm6ycp_6g54x zZwdQZQe@>p1Syv@NBY94<0+U?=fZ4zSz8GXba~fwC-ZahM-*jjxz{m-U2g-s3boiB zMa>;?mw2^weqwzUg8hiqo+mB|d0rhxiu~hiWpZVu(}$XJ9K|w)*P@tUjSM#dXz zwbj9M_NWkl(EHHh(yXO!#eGwjSMl|udLx91Lju=AP#>~C>o7&!PJ-Zir*@LKgJe0;jzy=9}}fIf2$+9mRa+cwz=aaQ?&JO@t;!M zIoM09sH6JPVM$DWUASausAH8%uT3(Lt$z+aTnk4b z4Y(ifo+<{+|Ad>rsG^yeIG>4@?tp6_e`ZTbaNBYuwY!C2(app^?fj^OX%|F5W?Q3b z-A%mi5yv62XR-KRYwuyA#`Lj8r7x4m=RF_U$4`F4&yljaQj{8vbA0_;?V69lUwl~+ zHOvcPAIZ1Y%slC`+P_V>QqoNOXKSKin`NMP`3elM1iocSvn%>kdtMptNoCbof0yMm z^8ycnOQ6##zK&8-{a6CKOxyZBG1Ewx6r<}HW&Vx>H^mo?lM%amE}auyE=d}_ z+d-@7qL~T6?`M1s;SRr^Nw&Yve{V#z6PM>-<*$Q@w-l85)5c^|h6%1#Opbr<=Eop@ zXQQI2kKvl5#B(7!acUyvC-PLgpFhzkjDLAUi$;V6qY{6T%?BXAy=m@qXD8CvK!bE) z`pmyG{V^G9J;AUD#gne))nD)?`-kS`6^eTWyFVlTN)A^qx7ydZ#9GGuf46w0JfJ_8m@?wjnCb3t_rdJ@=~GUZC9 z__9#^R`5(*hJ7Zn;&anT5PU#Ha2Lc^HW$>hpniTk@)DzQtU!P!(oxsXnfr2K{1Yj`ky1+ADTn@FcK3t=*s& zEq6BQDnb-Dg}?aT;`=JKznQV9LG04HY45@ImbW1mfU$8TAxrrmOVV6O znVId7gn-pUF6V@Te<4|2jhLb1^Q{aDPdh^D3^e{F&pS4Y(@h>BD(K@N1SRdsbli_{ zTqD7~z`0Vjn0_cI1w)^)tKy+MfQZ6pF^e#xr4z9>LE<(bMB`i)w&3(DLV{RZ;Bw+u z`v9+l>14Gq0mE!o*YlB-%3PBM8$0Y~U61k_vBloSjWokIe_3f9LLH$nTMPA`&qxAv zRo5&+D-G-K_4>kV4^!yi`_4?LpxC?DZOObIOupPsRFDd+OgZg`kDm zhL`NdZ|u_`eHa+soh6IR$j|Lb)_UoAVZq(|X7xTo76Zgs+uv4VWjrjjYvN07_w3M! zFH_Z`d8rnEe_-~CTP%$RF9>o;9i}lAlr=RZJyO`fG2ia$NmIg1!f^3Q;?yv~%GCUk z^qut@`C0^HjZ`6X3l_58u@kR26?Q?Ga(6?)5oMYg`_--LE@1^evnj4o#aeWv3l~=! z{Y!&_ElNNlDQU*Gb8$1|Ep!R=1^!cFB0dW)6HFVce-tirqzKbBPQ0>0m~w&XqZO(q z*$e4;ugUcxbxq76^!H1$>_ucg#ejRB4H~uYtCEM{G5uR%@|HIzc?B`C9IWeuW;A5S0PyDq-j2ONTyUkRB=r?f?! zD|V6ff5u12%(Kk0eo^hKr&W}3s595#;YG>r!++c>VAK= zG!*w_W?6yYt!~%18YFs3(TK{#MN%7zgdv3X__*+j3 z6R9A}NbIDwyq_=HNig8*T8>YW3w0*+Ldm7Z@gw5w^KmcPbuKS=x!hs_k?P}o^!4Oa#+RSETNW%f|M^p~ zmRnRg9yNBFO@euRGn~F7&{*VGzp;khWLx>J^-Tk#2Hd-%c(XPsj|gN`#9@(oysK;neTl&q&yy{^Yw(Uq^S#=S=v~ zWzd2P3X9zR>I@5>Yv<1NTgjWstOG#cb7fCh$9nGv$V+`AU6jr89hZTp@Ac<*Gyrba z&kTzh%Yyz(GsI9xNAn`-0eq9wQXt2$-i?@_{#+2!)q?k9wB+TOmq_Gxc3hBdf0o=b z#F2=V6o`c0J`=n=4z=vW{tO&_K8I-gyzDErVV>w&qc}XF(y~wy<}az=yrAYce%?98 z!i|X|I~@n><3}Y9tGs%{nKkg&)k;q4>1a4VQ_+rQ27mf)rmY;1Z)=Re3Gvagy6956 ztIuv&?2r@+tvfs!h)8Qm`{K0We};8~-jjT}+H^M+VsIyUU7!Z%6CQo8ahQq{r%-J| zhLq_&3PHJ+5%%iNyMh{p&WIA1w95ep>+rv9m_+Es#sGwS5VvO5Dl1tZXx#=29|4#yf5Eu><*Ve6 zttO0k`y|0AG>hzF1&Z~ChB`X?tcuOTW?b%s+^a+Ihhe~Xg z_$JFFs+^Aw)gr1o4a8n+a^o^Tk&urpC-OND_5~(-Jz7Fap7wq^gYk;EJy9O=K+L>BBDtGcKRk~C zY?%TNiCmcR>Eb;$ZfivOw7R@s!}+FIFdt&#xhNIJqMsz_z&^V89jJTv6#*Il! zR#{U&6Ah?upE=xJXK zP{Zad3`fcT(TkF^WNu;Y8Jb>0a!0Dl34LT*JTGO%(BG2TVLD~U&HVit zU$An8Hyj9?LVtyKRDBnKXE`4{nWavi2-4nZ<-TE7Gn0_tTo{7yjBs-h|elAw4vU2d4^P5Q7K`KpOPD}#m%HoVK1W-Wt-rvPQO(Ld#T*l3CIzgGsE+#F0AbrQ~zP0tkNYAnV=3s-uuD{; zdmhTJ!~>UaCs7iy`1YlqTKJpXr|3-hDQT z)_>n$`kL(wZIwppma4!u+mEH)8FV{WaAh4f{>$9Jr;`HM$!48Aq+LP~r@NN%vydbj zx#UflHwS{gMLdy^hn)-t;SBT*Ik!|B9fl0AL_y!-J#=`UTiViQHRW3a5@AUCU3+30 zmz-)hn?bWQw=3T4m^@sTV>+h2`Kw5{a(^^qLQ5(9tBa8LwHiqdvfnfE&22N@^aN`P zlZl&tX$<&*-#&JcxnEb1W#uQQml1)Shl8!-Z~d{##|2sv;?^VGR@lDV>ix?I)6e&p zGPJR`HdWFdKM^1+o*7K=R$+r0`1SS^k;EYb_u@(V9J}@0yN2#ojUBDU(-kC}{C~s7 z9V%kRa;WJnwf8TiyZ3f6x6N2f7JQ|tWy2VB^S9qfU*o1$=13I4WFO%7ckeY_>9A^g zqP$wk+Q0ccwbL-n>W3x5t&224EQU(x&`e?aiFpWp)nszPSOWLwk6x7`$bAuoBCdL& z@1TSmWa6i9lvv77e2psKZWrmc{D0M1W@m2%fW;1%NU>HXi4Q`yewZg^3f=;Ixc!Hl zeyzv~JpFsaPWN+1ilH3ezWCMD4YEKfP`q178TDS3Hlgk?kQCHi>qEwj_7)RkE058xZSEC-3l|ZFlkH)tP1+dY{_Kfso`gZeHQUF zXs7usM$muTX*%$4^zx;4l8%{VPSZ+`0p{hk8hkuIB*w@E5TirQ3 zb}D=R+S!J?O3V_@9=>H}v*|T;n6h?oen4pqH&uIGWZBo(eZc$F+6u$@y%6$}w%GO4 zGLdEubDYU|Q<7q{bfDaXFhn1kbKv4M5)7^#Q^p57#a%J>sI=0tZID`|^vR&x{Ma3r zINENn4^3mb#evr88h;%GRN-9Wvuo$a3X<8I%wvw*tnzwKc)61H6UF;$8f{hI9=Y21 zTHz})m>S%=3n4O$96ci!8KFf<(w$eAZC|K~i>)6DVf2%MVh>#_yHOJ2^M%2x6lv{; zdxdACUwPid*-E(t$=2aqBG@ivzR0Jj8E~Z^$zhz2z2C~J7k}tX=6_;A+*N?qgecJPMq(ZWz z7$T3B!XqOLwb9Zq(6-T0fs7^}07c~qot0La~ z9#P)dB{QZlEyi}u!6LCq9m{VJU3B3m!mebC;C~V{!@fK<;8Bdz&zZRi_|4`BDhEn^ zQ{pw9gU($m+!MW$w&#b}!|L#*Y4B+|91|HbILUV>$I7QtG1ZYC{K?Vi#% z?d@&7!X%rsw>k2+JEpO`2hd#V%SMH8ybpy;`PvDsy7FTax4&U%Lfh13Lt3K_aXbad zsDG>12s)NhuotH~B!xBTUMcYAnr^YPNjVRCQf(aS#f&?@8H2PGqrvE!5Osb1og-8^ z$`r{efs_}S?zpD;8~4EB?8%gBD=Jsfye;0(*8_@lE%SnIp<&3!O=Lue7JNTD$XRq< zLzW|%`9pVN;D1*G*b zI=e{>ZS@I%_!5YVXM8oBJQuXaHG)V-lO9r*=pfWlvrXI>Dp@$p-nh%PB%YwbC4?b) z>NRbuFpyz!BqkzV#+v1|T@rZtWosR?ze$0RKeXjDIem4uXSd-Tel%9mRG|18@PC_V zQT&^5UF#V9TP8*$9A!MQl{2byB6dFbF--ftkVNj+t;d0P;tJK;u4r5vZTD~My$N{= zRv<}jfERC90og%olpfdE(0a_qE$}O@CH3HR+%~dye)m@{-CTn}3xv;65As z6+Qns?gZnsz^;X4$+WXQI4ITct6t?R>Iw=DT_&ZL3pDW$%UWOI4u&G!LO+x-UosE) z$gOBG@rWHyY5tC0#)njK6OC^hYe#5BnS@^NAP)>zy!q{k*}U6F$T9E4Cy;CjFW^q{ zkv3D5_`Ls7~a{g)C z)2+!|)`5uf!vYPJ&vs1*YJO+&t(@&{YDgU8NYC(vn7M2lCrWmWu761iK6JGMhf?sXXq!TBC%xnKNyOIQF<^>N;FaYC%gqYZL5Yffz^(7Kyd}sx1a7osV&@%^vMYb%c!w2 zDb!8(-wSE>Y!0rMrhiq9xmeLInTD?xQ5dgVxV52oy)8jbrDkeV>pO|}AA5Iof08VA zA$pZa!3Vn?g>jYLzTaG&u)b>ZKW>#T38#2CDolBrCb!g)#2 zu4$)!D1oprpTK~+1_>`&^c4`aQ=<;l&Gv|`M<)QLm#Ofy_J0DgKYP=e`$spXWPHE` z#%z5aV3a*VJzy{pLP4&4KV$11Io(u*sAvTYH9S!&v@n(~ZMqh=Bf{hL9_8~eU~*rc zipTI9<4JY!Y!}@!gQ*&M<^k&h6e$Mf(Zt?0LCZ z9ntd$607$-7Ju|sgK78dvMx%Z;u7wnRVv@~uh%>2pwk>?4rU&$un#HbBVG3(H#zee zMLmyP-hXub`Jgk>hL}Dz!8>-XIa(`Kr62(Nljf4c7ic^>Bf+!|+hL8US*!ye08r|f zW|YfuEO!@fjka3y2fD^06NLoC`%$ubCE)4T_-PyLpno^(N`suJbxJ-83t-N9$~Lz8 zE27(CR|t0bzMfY@TtwKKu=MwfJ&^bo!RTlYm>Apm z=e6g_%WAXYSw$Ww2i0kS8+&QyjH@p;8TAJ4zP{CpMW3%U4iDIXdhk0RdC)nK3$xU% zhY?eyNKy&6zK~gL;!GyIQFP$xp#`PB3QAVZzKGXKMLWwo1pCCNAQ5waEQQqgRJ( z5$uw8EmfQhg#R+l+Vm-&buZ+4;q?4mW^_VTdb$DR`IAE1hPHawNjXHuN*`2{eFUCN z%6}5Nc4BR0vE0=6_IbuM;cma}M0cTEN+@|O+C%a+`y!jp2D23=rl1t#%*EN2O6Izu z7|N-=F*|%1EF@c5(>MJ_N$?kRdy&{MFNFF1(48Hz@hsGwiD7yi4xzh!UGNh``Lmq( zzQ>bvbA1y;Fu2X%INftM2w-Sr7X-ryb$Dn#8;N>MQz4L~;9IFD$UZ5D$(!3qQq z)DI3HOZum|ALTA3!axlUe2pU=<5rKR0||}CM|t_!lOjWx9^W6Uhr7faJ3(3ZheVZ<2_oKMYq|L%Eg-!bg;$V$y3Mbz>!PGk_~v@X4dCNrhyOeDe%oTe2$mViZC%*)l%=kY7+(B5eQQX!GOhv09KTD#&+-BVc&WXm{&!R7)0@ z2$MEU>>R5EM8Stz4H*aXb7HvX5;ImKn_IPTGj3qO8gw)e;DnVB!3dJn8MS} z5dQ&-ka&KNZTS0RI(x5Gp-x(}Jr0X)Vz10t9q=oSe1EZp+Oc?sTK%3PPOZGTByCqtLo)rXD(Cq4F#JVEBh{ff zunHVO*px4QX8^1Gf`j5B@Sb?oO@82?NkAsFP`DfErwhtGidgK1?%DA5%w5G}`V-n2 z9jv>OjUzgCwZ(H)Alfx*A#l7+n~WbC4LcaQNKS~k25^a0Q09dFhJTdmog$+yNH75+ z&wJHwNFk|T$TD)DEDKZdlfw@aD3bd?z{@%)-sqgBAnh)vXd8CEoqR@$QHE^l8tr7} zW-5h)%7NK6l2uicyK*{|>P+ni4-4PGwlREAX{X*2vZTF00SLpu^nT_N*|0h zP?}(v{4}rVV7Mn$_>WLJS8vqVb?-?$#85G=cv7L8FkwiSQ07i&kY%s|GLLiH>TC5r zziHQz319VXP#OWFKNZOse~dy~1np4)W)+vw%v{#HY|fy>+MtTMtfr`Ry-@vcLSD{92R@$Hsm|fZjm=com7W!Z z(ov07Lnu=w>Q-m{P0d}f5Ua+cZ?nFd-q->!YvS-<;t{e}c%9xDwiPfD5uD;Ci%k~5 zlrTHtp&4z2#($jGhvx&hME4pnH%1^lL{vpjyZEA+yk-_(4omJ2^J(aA@n~N6(|xua(3Q$^tGL*YOHT7M^FY~n00*#Qw$nTVez$6^~t zj4SYsID{k(vG7*?2*FSz*fP`FNGecx)&>vp+sEzX!`=dq9$okMbiTnk+2e$G1O>V6 zesY?YE`Rgk2*I>fKuGn$#>ZO$TPTv0%Ah8NuwC09fiEK7$b-)oH$vbdKN!TO@W$hxFxG&WtGaZeE)~%zduOc zgmJ{l~)cH%l7rUC; z2AfOb;bA&c)*wX#)1&Gq>6!qpdYvKvc1D5#Uv&aW#Dy`FF?bRae!J` zJbx}t34~j{#>Kc<1_I5u;7v&OF@Ydw>xyy}pKmoT5`BB<#XgN;NB&Owfr7dUrUnU3 z)G)3wY~t7WWS#2C#M^j-&!O^zb~kH_Z>H$;k2t6(G12N&BMXo6HKowIpn1oy&fj&- zvnmMpgA>#vLRGSg+3R zkt;r}*DSj(5aRIEu@0?l{d%+=!4ocK=Vx4{N>Yqq_;>2!dEq#jP`SqkwKMj!Q&{Q{ zw9}d)+`^lOrspadn@Hpl)1I+$OX|H)hczJF4-1#xAJ`ZBalt_ByP}xSM5q(9%zw&i z43P0Eg5aqx%G@P|nd#pPU&mlAY}*G@tbb)*kK=440Bi;+(p3wJ;ZsYLBL^VtbF8I= z@o1a~q8ZNgbg6?+L#3X^jciqf=UvMFE0#uA{Z^6O<3mB=e47RS@h|jaaqFQsA@}Yx zt~3qqY)I(Ql%t>@WT%oM%MBr9%YW?-b&g43FzOgS%ig=gqMLND2=t=@Sh%VLMZY#& zy!9(sa@g>+g2Z5P#XUGmsGfw`^$VDPm{QL5#;6dPxvui3d&^)_oB%M>>H}kcJy9RY zgUBmoi)OzJ80>3DjF#g9wFZG49jFRt`{|q}hm)VeexSPW>9uv(a~cYy34ioRyQSbk z5q>x~+|6z`QBl3%rZe!2v{v2Kq@mp+$#)>-awFmQfWs9m1zyBFv(TavG-)JwRR>aG z63RT3R98SeM(#p0C{lb%{_9Accuxs%*;{%Cdw9pCZ>^+f4@-xQ`GEokz{kW=6vc$4 z$%a|L0MlL(aXnELCV4=QaetrAkIJ&gpuelzr4}26kGu!08r_}{uds+G(q8%E@obmc zZrq77e?f)wWN@SQ2aj$xdzI`K+3f)m^%S(=POE+5O`BAIQ!UiQuo4m}`CW8A-V zgwhr+fEj!({J?v^E*KaU5%dm9L!EO6gf@))2ukbY(uCWO3D#Lr{eKL6e3T>kb+4Zh zRe+mNa#>PgdIU}00rCiUdYPzV^-G-u36Tav>kv|i#NlzqAis++05F3p0K6-8oejND=nOi#*TVtyxk2b)#F5m8myKNm z^wP&0z<$U+G-L*h%zsRMab;ZVU@jw*?6RLI8=qOB;q?qFQjYz$c&QA+o$smAwhhiebXl&_oz>-$c`OUzFocBjQi6?!2@7}oS@}eqP!L{eRCk8;r6G3vF~x(Hdp^0x7-9 zlwd@tb%`E%yvN^;O^w)utlc$;a+=9dN@V+*xBb)lH|oDdbN`}7c+i$4!i({v86oPH zZ%8(B@z+UApA<=E>q|CK(xLaKDBGuzUTk~!N?aQ5d%%O+Ip>d04%WRFalhYSW}NAh z*PpTVr+*kDrzZg$0WU8FyCN8>>ps0kX61 zgwU+98R?=4ruZSCAxe|cHbsmW4W?D>COzKRlYdCRNHXe?~UVy+4Kf7ecJX@YBX>Hz+q9K))h`VI%lGo`^w&7m$%xuR7TB6s_C7&&khQ zhn3!i8{h_!7S)F)7f8XL<<7;Fy|W}~UeN+Tri}H5;<9Sz;dTwSIg;-a;f&NaGB|%S z;@yLFlOOoO!})oIMGkk;hHC{C)99VNQ-2){aq`Wqn}Jyu$#d?Y{EcmY$~GfStAOCr zDu0~1Lt5uS6A=)_EFl%6O34EW{KhK6hZStso9hqKKj9g8?y)l3EE7nq4*-BTbafs5 z|BXc!OIk4o2DL+t;_VSOK(1}aY(>?a5k6@->Pk)NuHcUWwR31|55W!nnEuMMA%8{G zrllcs@0_2cCN(z`K_miH{@_XjpA=(lgR#|pa>X;2 ztxzom)!bdEe5Jk@gw*Cbu`i2W+?}^cz@L=7Qm6iP;*PAPEG!@Wu79zq~8Z+}l`5jYF1%Ghd6c5ZD zRSHo(OU>2r{5gj&Q4ZMqiTY7g|Ogu3VL@ z!eJ=?%8Yh8ZMgySM5=nd+R5^X@vzyoguD(p_n?D+YN>pH}bjRJ5c}@ffcLfstvVUApWEuWG;Yd!2u@%vg-oFiIctP-aU%N7u+;O|`sP@q! zPGBAu1&N2z2toDeKVk*iRhwLjw7Z_W>iyk>0a6&ref^Dy=7@z(9p;9gjt@A_$@*=C zETD2QvWn`p5Zl>*CKg{&h&OU9Q4^-|l!z-2DcRKuv%?-X(9!NE{tRDpz)|6#|<+4LF4+kOzi@ zW0=Mo6vr}IaDTyVnK@(_M`BnWcfs-Er;YbN6TboXZdp9g;VENu$vy3%ixlsAThn2 z$tQr{=DJS}c;uxpXaKM-mlgjd8y=Z3@E1&*C=@nh{C|h+zOuHNI!jc7^j|}xUdas3 zv-P8MB(Le?XTPKPtRmYLa@)gsfo4a2KsKudR$b_Ra&zPXn&IElI?Z;pRjdV1SzwT& zJdB9Xnd$855Aw_&2~Ry5;L!BM?fOlYjc*%b+))6+ye%XHrsK2$;|5&F7_y z*`jTuKvMUTR5PPR{+OGsa%muN3c{tHVNW40e0;WMfKTX~+v2Dhbkbs1zO+Q<2R?&| z5N3W`yjvU|cHmD~+U*skI~VwLF$;u84>zvwAsNjDn+Q~sf(kfQ;YiG+ZE-sxXo7dM zS%21SN`pvyf<$(X#r}peSb_;kRljt*CD+z+R zRgJCXyhbqUwEnbO`Y-*mAkhip$rt^0bkA#PJknfttWX=R#$iOTyhYYYbv|u_l1&Dv zFBAM#8pfp@!|hRtdm^g;SmC{iTi?&-H-7*U47U~bfp)!0AfHAVSkpck{I8oaInVG& z6^Gdc`b6|;%e=sdpUJ+37!DS>6)@aWW21$vI?$bI>9nn>78fc2C*urB<-c)IX}@r~ z+TQ%D;o+;*M}@{HFt#X2ZxjZ%-)s*!ct`Ei69Pd(99JfQiiz`9-!Ui-+7NVeGV z|3+g7;$pkUXl2NI5kTO^g5r5PwTL~`eR8WmW1pe9YxXu6>KaZY8}8K=`UmwpCylud zK2<|bq{UVgi7UUN=W|#W?|dESYJZnKJ&!Y=Z0_v(xH8#Ii@l3$91`@00f*(m>{y~e zwQ!isca|>?Yz+YZsr!BOuPG-q{uPp_#7!sq%WQT19G?+$-)YO|c5Pb92@Nvl^Ne_&AhyeAddG9ec3inwzKd*WP zj&;-JGXmWN_RB6|-~;aix$=5G-NY>Ci;bjXD?_UvX-Sv-M)1-Ch-94P39)cy8`# z8XA;HXh4aV*maNZWO(E3c?Xp3Yz&rbB(ia@=w>-}AUeYN0)$K>xNAo}dIw>*(&MbN z?Ch`9TniYhpQbv9G|!MtY#l&T_%gtDRfCvKjh;+$%jYa3vKd>lhJV2QZxc4)xv7Y0 zRk>pqqb>*0vSaR=1%@2@9&Z;9;7PizNsSip?~l8#R47P=J-Ps7I;;z$~~C5kc<$0RnKo)E%jFJ0K$c?_b2cW#csFRBA+p&EoZ;aoFa#VQRUYB1!hb5n*BBj+;!Ges5kL|SD5)J_N7p%2wgVtyXYk-F z4#OD_F8O8HktR6c%CcJkzn+9)i>h=G9Q4U)e8+FEQz=B(E`M&^&Ac=W6-pSj!P;}W z6W$$GuyCLx9XqK7th*%5c;Hv5@LyIOwxcsNeiWW{=6_p)7OZ`wO0tiJV#%KznQ93{ z2kh?<+kecg?^WZiM07js9$UIt3GDdz4Yp1d+)jK|JYa=Rng5 zEn+Xq#U1WivVWkyD&B=#bU`6wO?nn>^LA=BF7}I!Tw`JGzgS6TsVB*hRbGQkmmQ3# zzY1Vkg#-jdyqe1^H^Ud=RWvV~cN$zHAo1lU;nHbWdSc#5h2MUG`Az0DxLz;?X*y$< zkkXaLQI2HcfBrfn-!V@3X(xeS_4o@}J*T>A^%1}=Tz_*#i~}Y;uf-XIFHqHOTb9%Q zD>n9Msx`y0M;Ur@$XeW}3`1~8;a562h-({NoIhpYkg6c1oFt!Z1i%`itt8v`I5);X zAW&wZr04cOmn&fBf8%d(;^Hj&e?XJS5V$9Q~eejj!-K6{YZ&A>u(F;b1dl^ZK zHF7CdlbwE~u3-KGe6}dMcaakVu0&ew?9;u!{>#i@_9_g6_&KF5_RXTmA(Ba3xE8_3 zw7NBq%G5QI57~#tS069NP|R)~2BS%e>#NR*V}J32Dqn=?128OxU^*)%JdpTFh`6&K zdGqeFpIBM*nKHO|Ly{L#$TvJt{7?Sv8ENe8Iy3q;8Km4!Mmy(v0M2+0WwIJe$@J;{ zWNPz&T}yuiN|rr;#gy#?S)m-lFF+V7q4q^eq8*& z2tFu7P#Ju#HgAihOmkk6y2*!!0@#kXWiQH)0ink)0ql6d37!W8OlntFfe1a|JkKE2 zbZ#d{Y>d{$wP=dACB2e)9sqcFc5^k7oqsrpSHe^&@;-sTz30>qkY6mL5JK(`nPeNi zqh)UKvO5-%tAxE_*?d`=9~*{p-mD z4@qzsOpLpssDah{Mbig;yTr1#tNlc4^5awbm8B_Z6LHvg(RTFDp~Fn3(QutKr++h? z9mFZhw(;ehBCskv!2iykLCwFFBH;?pZ1D{}U`yS@D!()ZE#F5*7G7fXPcSPtwvE*O zW%&2V8Cr3{J>4yTJL_uM0p@buVd|g(n#EGPjZNwI-Lq)w^HUxd5armQvV05?vfXs* zFc{8$6t*XLOjBq5k8i@diwWh&0*oS{XY+ zw`zhXK%uQ6cP|aEI`aO*?aow^QHxz}-5{DYDxr`0$gd*L%|NXb2r3S6GHV_eI;n z?C+(*^`>}FqEO!z2DmGB%PGF{}AB+a05R)+#P`v|b zZlR6`KovdCwVEZS4`rc?7B)fabq`|~KzSrSDv`JR?Gd?dy0IcoSASdubiX76O+8wj z*k(beHdX1*fxqz=?{8`hvu98ws&9l~pdSmUoS}+MZ@yEN`~j|}Wu<+u-}x=R>F#9c z_`&`)i`QNu{~cHYhJU2$+8@DsZ6*tD>*7J0lmASph_TsEY=6V?p!3!%DKDh#!O2jj8%z5TTf9<7h&W%iDUCX)iJiG%Z|ld#8VQsxeua(N}(VBF$K0 z(4il+$)xBE<$rCkn7Gt$9~QZl)n>mX8;OsMO*AsSs(~892+o&7GmuE=+`707-(jZc znA@!ow#oM}(EO915b!IORYR5FusdVcv89WkC@YP6+Kri{rKtO1^*9nP;_s0@_nP+t zY_Xl`ZG=x)FBJ1owYg;WB04%q4n?TMwO4HPZ+i9qz7WSBRA+@l46_Kzptu6; zmptvABtl|`>qP$lA+eet-=RiF5m3Hy+$*L?Qi2bKT96=ivP`GRWA6;RQzxhK39d_L zg_Bd|1#>I?$`QQTs=)n;Pn`Fzr=Yn&-_%Z02AeN5`tI2@dj&Iu5s)DDj;c_lfg4k7 zi@-Q>K7ZK&T4N{Uob#@2Zx3JP0w>t!k=CU)l*mjtv7~(SQV&9;Pe$$aJYE;_u+zu} z(v!zp>{8gx1$u`>YK1I;tx-oo7&12X2f~J#nw_OHoEi2M6%bFjxq*eIpzH2uKX;(t z4L26qreid2M1M^t9&*Zq(o$!tX@@L28Lq*ONQO5KpEdH%P0l6)jeDPI3#PYfrW*#VQ1^NvUYjA3l+q$tHk6R`dBoM z&>m>3I&ufxN&;Tb+py{uf>J)3wlm3%kldeGxf)Gtx=B1sQ#5NJJ<*=c!ldt$AP-e| z!vst>ht=-wd^*D*PVQ}B>!haQP26MHtbbJY<6aP&VOm8zkwiaGim(HIR=h{D_VttR z8pmAyWwa-)j9iTo%$c2=vQI;oT*<#j0Vu2zq>j;l!|_x+8_|A3XF1|!DP_3}4{uJ6 z*iB^@B|?&TR-Qw9PatdJ11Iub@|Fi}tz|p`Phg!K*zST}&Gy1qcb|a&!tFC9_Mvo6?4B(@?X$OEc1T zPjjbJ>0a>UCmoBSyTZ9^w=$!QgbKn50pIK=l9uI2Xu69Iy&9Z6@T?GcyXakUsTw=t z*Tsff%zb4*XE(I{LUb$a-}>y5sej7%+1B?~eAxpqJ0?uJ^v3nl20~at=d?_^EC{eG z*B{zNSmme?FRb!2Qs|c?`J;FL)!Y%iLp;1zjG;zUJcIjq*KHOu_?E>MJD9up55J9% zT~?pg;r0<@5WZO6K0$?IPc_H@G_<_8IPKg_oeC}RJV!%vIS|Ra5I$zbI)73g#+GFl zs}m0~J@9N%WVug`_opWZj(=^SR)sJspGaQ;v1YYx*~tPcm(;n*DFC7%_vW*)Ftcid zt(xpykfbOQR3o#8(*l6}RSmFA6Ka`kJ3&0&S@OCoqQo3-6o4Wjv9)GtMf417De<*MCiwsd);=E|qnVs@%h z6A+6HQ8~n5*2fC|$p&!gN=I~Ma3*t=Vd{0M9a zl!q|FtgcLEv!X#)Tk;uE0@fPYCIi)#IA4Ezc2*%*%AaqGXB!01JeMLcj8m6|*>aGY z2kXD%L`8upM@ZzD!yzoDyoelqzxtM3ma$xTx#-FQy}1!q9Dn8se!C;v7*sTW3It%_ zC2gXp!k`JyDB~Mp!1|r7cWdKOS5)wqla<>+w zYqcy$8}E|HawXXDeJ(Wjsr24uOa(g>S=0KT9Z@;a&2gwMGnf`@95WF*j&ZSNVSd>c zLP^n$AMrT?1AnTed}fdC^B;f~Dc16ytT~Lbqt`x+2a0d+*T#Xil_4OR{rvy|!!8f< zJPF#*8KPz!RcH-HAWP#Y)nNenbJwY)sX;|sK}+d^q-1oM3ydK3Wqtugu9c*JCH~RH zNe1+8&ys0b67j+7q8ApD0?wnn=ylod94a&J^?0pmzV|nxP2S;zo(#>uaTC#=kZD{!Fv=I@q?}bN z{D(Ck0A=`sRtL$Q{n|*PnyDC6qE?YQe~DT;9-wKO>gAHTH8lHV^3NP$C3nL45}Y)I zrMDAR;(u_Pc|g%J_fn_T+B4MaUJ{J(B0puI^0s{|fa2ldulncdC5{-+mBwttNP=E_i$^qY)^Ve~rtgZ6W&l5Z9vuhwnIEjM}tRpJ0-e}OEka(t5YA4@j5A4YfMJhd@SYtQyxY3uY*t*( zaOEKOsX%xK9i~VN+uZ z`{4)LHLn6oeISaV^uH_tl5dY&Z;}$cWj^GJQQB)a$ZU-v1azOG0y`o#5;CZHUfy(D zYjQFa%{iHc_Udl*^uam`UlqK00YR#$rDt?~hI9W9&vb^At4wg__Yv|3C{?SSkbkDZ z_?5>cJVon`pQF_mf5%8I_oz~wTsHV0R-XMWWxYj(*RJOyL1vyS%x=iej3Z-9^)JAO zNlkk$IwH$a->EW3k>tBctxOS}KDOY;)Q>RRf;GJZ0Jm6WCTVI=r(p>)&5I-l-6!N= zV!Wv`ATD!glCGu2NN6Nk3@#t8!+)CEE-LqLi&MXUXK=Yp)-WU=p~9uX3rC3W31QT~ zT%Fz^0M&nn2($lzO_K<|iySS#K!tFw`>Ch2rN@l>d>g#b>4z~QZ#wZOO5vAKH;gqU z6h%l|g8^|fAzuJwu_{8=XWDBWo-P&{oSWg^6m)g0N54{KPQ+z-B#Ml;K!5QKcen`+ zGer+Ge?QQ)uoWhobX9D_IGpg;+>sd?@_iA6A`JNoKC`pis=N;>v!@hO*Oq(Wlh{2= zGLF)pC>k*QBLy`bWu2OfZ8N&%B>tmoHv#~=5g^uO&X|m_;RVj4l}66yfHJ+bq&Z7y zw+8RvX`-?4U3bnumS4_EP=C`9J`Oj<=mDhfDm@W-eg8YY5tFD}VAp1Pm;>r%iA49% zh>v$5v?@Pto-Q$^nBFpKfnp7uEik_!F1*{>XHX&6$3Fl{2LdUo;|W6|0!9?m`YB{! z#5|p@we(lZCsy~Vp}OA^N5~XhFL^tvH}EN;K^PAlvCn-7qOgidg@55Cw}CeE>#V+~ zu4!u7!dYGQNdqhOWDvAiX4vqA6HQGLd?H~HKo~&i3I-cwtqB_dY{OUrN};IZxoKf&Paz!Ifgq^yFWb0S1seDzZ)~JAR3kUHJ4CkdHve@_Q`rg~<-i?CMgZL0tJQHqIc^ zM*6(@X^Z!o%fx09WG8p$ zo|1QsiG4Ak=zk$CVH|mBNXa#;qZNLJrY>GQGy~O;yHZ@Ju4wH+sSoTDD#Wq6rMP@6 zm(K=nQ`715vt=0-uZEpW=lEjg;yR|H)CktIJ>=|(LyHr5jb0(j;$A%1qk6P}2SYIB z%G26>^NCl>Dg160bw?#seK7wCL!P9%u>doVj%1mYB7c-oWCxRg+wajBCZrsIVD3-z(R?zu9d^!uoPv%}!I zFr47Px);RiZB3TR|}(o@5vviZ^44#T}~d}uEA|blogAOt70U38t9>9=Zp7ym{QxHQMFKV~R+Sl$ZAIEX~$DGsLxv8MUa#UAnaIzP29K++q8YdK2>dY z^q=#5uPa={7NrSOQ6FL{h=|i*$^qH|87AjH2&38Y$EM*1rZ5ygGwr=~RGrI)|-5zys-#XPjdYrMtX6={t z4LE7}C?`Mlni|sP_#!4m?I-$h&7tPSXb0O#ZByH}XAg=9rYzD-3)o$=sl1yyz zRp+7G_r0cpWftZl`a?e4wBN+6mo1k=8MY`Q_(yok*QeYT!toK}W6A*9`e#U);uj;y zpIUqvbkGdI@=nSkXcsT2W@4S7iRD7ckx3z75qBOU8LaUpWSO(eZh&VCsVP%=&mZgS z=+pKc65K9Qh}@cLw{=P0w%=NRAvHkT64VrLq^rWSdj7o8w<5KjW-M0tr3iDSleM?% z;*5iZIAis)qG`FS-yZ-F?Md?`m_v?&V>$^vy*oQsh;tr9G;tW5N$ZIKP!90M3Q#Vt zTUcgAVBxzfEx)FlTlMF9#zMfcXFw>?C4>bHls#sCH*~B<2x?yM&fR^V*%D0ZCfC{{9 znkgxmJ)yIDH{7A$fhG5avx|P@)E0CLDh){cjCHl6%(%TXF!D=P(Jz+V5$UV%wBgh2 zz7y31^l=>l;pnpfu&RAs8pJ$V$oBz5awn`fFe-u35;dTivXdU~e&Y8hwBl|if{rd$ z^IFl(60f%n)J<^@Tqls*)hqVMA==n7a7MfaoXy+Mlj8-Llt(jJl$;{8y~dr_#tX5J z9CiUML~pO$11;cQd0_->wJ_phb6lhMawa8?KqWr%qP0x}C__hw(M@?)S;!nH&GOa_ zxm`Z16XuG?05Qm~K9C&Q67qeAs!9wsFf);YlILrRM3qsz>cqb4L?>X#q`aPxGii&{ zUvh;MjAHUs?78!kQ=8&yp|Cn=<14yhD@YJ0H-vtJ#*<(1)PqJ79a-fjAV4T}wnH}S zC@HWRm#YvBfXHYdKKC^ghAYrM$w4^sxB%O3jQbS&HXNfbj!t#WkfK2GBuZxe3ZY6(l?r!#?&AZD5FWh%6z4QTMQEKh+^eh6 zWu$LY0bqQe8c2A_D3LgN7H;imFd6NFp1`{x>EVz10GWkj38qP44dSe_pMj<>_xLoU zTFXUe3#wmBd2MFCJIb>_cuQ-3G=W8Ipyp7!@Hq7Mu~Q%mA?f!f_VUTwPD_L`V)S~R zFdQ&;LK*cLy6J`zsyxqPAKU6gfgU0ptV&uMz#rB^%N+k+GYE3Z<`nS7RfiG{;_ZUW z!U8zw0Nu-MOX1=?su7QFNO!bp9n)vWLR>$KcMdc}J@o7_g>2XSh5Lg=HS2d-)}+>~ z>8V$mnLWoc*Du#0@lEbFhT}Ap_N$NuGd!H6dGbAsGp-za=t9tAHuPp>qW5hoy(?o* z!?jQfo#?_cKP>fUnL<|wCa7t~l^C)vZp=5k0Cq{oVD%{bFW-7OeO9~SbK}@T#OPFk zFzD-U<(R#;22SF2FgW4s24lQ*VeAuKQyPq(~o{u}v|t(z$ja zH~{5)qsqQUDiSRf{HDGFOnH9|?RmNVdSM!YQ|Pyy)RHDH2>T|a!b`yl(Sh~IN%^k} zOPVxxKYS}Z#!GCDn#OKbokg1&7qAk;4Ef@qQ;;+RioPr;3aK{3Qpo5%%cnWX_%-3& zOs$vi?3cha8+b7$YS_5hK{nGb9RsYJsbJ;3Kd5I|F#2X(wI$iTH6YuSPTu|| zkV~t%IcEe#-)t7SVjFb*jsG<_r8ghB)D=l>vB7hAybILV6)?oMD?Bz7E}b{}psFAX?` zT2;s1MIggS&h8^YV$f@br9RyXBo00hCN(!1_?aYb7`DwlG53X6a+!j3Tz$J-lsiR2 zp@6G^Esrd)5iR{t@#aqAi`}RN?9$?G@<&apJ*}1kDazNH?%CxjSrQf_1j?7>d>d8k);7jxJ-ooUoj+cAjy<29c>ijtC#_wA=GL+yz6&{7zvkU4VmSU9duf5-v^Y*}d< zDooe&5JNreBd|wWkzRjxxdY60G0AkO)Uu4b^4=M~Am$6z^>Rf`{-!4;(zKsJ9O)s zG{1WtTW>=arjSbJn0mj_yOjrkOzm~v6^zq$s?%Lwyf_+Er%9rA!useN>OR^AEy&q6 z&T@=lQ!><26NpnRGHdAAbVy(C;O8Hvg}FeFt<(j1fwaua0i{n1=#vI`-Y0m@q9nlKLtlqqN&Q*i zaV2QKFSksy6R_J`emw+Oxca;dtp2>WW)YI^4b6_oiCcOs1Dd?OCdzV3I(0BdR-nsk z`?AcG&+V2sMsLK<6N~reb6}3XwVzjwyJ^Frdz?3JC64p-n;3Lcxq1b5s$8lMr5n2f zp-`i}h^TMb#CdtQ{C-3)tAUB64L0GWj(cu3xv6_e(?33)az8Z!id5Rhx(BbQe{8PH zL^B?$-M{8fGsTv^vUm&Lbs2|#0IT)c;7tzk8!TxZ-8$w9*jXbe_k-sPv*kBeM>Q}^ zU(?YQ1Cenn1WO%f zaDwCI3B*+Og0;{D6n6bjJeV^Nyu-V9kKb>M+>#A4On8#DO;MpygQvtfwL{Ef59+l7x$m4al?(OV9S> z9ct^nsujxTSP1>uK3y~+jRm#!F$(w()3kHa;gB3GB<#;^_a=Rk1Y3G;y!R&C!_}?8 z&+D)hU`Ig26kn^&{WW~Lky=RfhB&|uAm@+M{hecH`76@C(C3Moei`xm zfVDeGe}scGL)mLU<(-;R>XzWcXQgLi2*yCyHM$($VIIVWFq24k#m3nasyF3P^)rUu zxH_h!hGv6geFf>mxQu?^EQNK9;0&im75jR=x%rq4^dRg@>wLxY`Uc-OmhvTX?Sl$) z-W^+e*r|*WyW#GTIv}!*`yi%sR9%o?7_`WwG<}5Is(J!IR_~Muk_#NjhmP_nnT@EM zhI^(|kAym?n~F4+OpaN03uq1*^qLNt_3q%Rc~L~)MCzz`^*NgNnqJhdvp&?Uv)cEV z4%zgY?$)ofI%%BZRcoH&wW*&b?njJ{*@7<9^_X7J_n4j_oZ>wQc?G8ldF5$=cHykE zp7xrq8=88tpeDpYS7WXVno#!u_(Fni;Bl+es11UR7J7S+Qve`a^eL z#zErDZ1pD{0SqrI^LPdUH*fNv1fg|ckGs?*T$7w}?J$OM&vP8g*FK2p5ZIRX2Q#;f z2=$F6h(>-8OlH;rkDCo{89)a`b8ci<-08#Er!br;U<(uLO)OSqCO0i!cXo+^%%!;x z#zx|RMc-Ir^%JhQ;|y^?dbN*7u)_?ou>8m!#&_dK0G!FFIzY;6CLJ~1Id2RUyO`Hp zrm1LKRWCuDpE(=sUH7#&eDv#h_$YJ5jSS%_UTeus=Faux{A-R!8`uPCcEDM3{`rj@zODal_gquu!OGO7s=3d>tpnfDYa^=HB`QVE zyt?C~fOdW^_Ggzql##*v@xo6t!OrZ$2Xg(^8-3Q#+y1#Tw6!G%A6M_L+WFs5mp6ws zLtSZU-)jQ-cVL+TP0Cu`8+z(~AMB-|`jUe6`tT$1Ba`rm3>(bDy_jXEALgSCd~KuH ztYL8w^dfV+S-_%URdGKsh8m8m_7j%-V)S8iZ7pJQZE&4Bj+FY*_pfC$G%(srMdNf} z@rET)tZVfkSyI8~_lz3}He+{+bziFR!O%ks(uOqDV%cV6CpPo z1|g4$l5XE*v%asCUrdpJw#TsKfSr(FnU;*U%^>v-V2K{$u=+P#B4aGWBKh-V++z_H z*5Hwp%l_SDP@F%cTu$=FgBBhRGwBKp2l7mwBX>&c)lY#pC9FZ)Db9IrecT6;R6u93 z_(2{dZ;qeUy>y_Y9I4_J?e{C3ca3{ZTYxHFV!E^f-SV^o7~)=lzMm>y!9KJC!ueR~ z%*|NoYspyYg>5&8kD$vVLSAAkLSE4AsOg=cxZb7iG5rqO5P_BUURiRefF#&5SIp7-N+vstAHLum(5-J_g;%Sppe&;lmZ5i@Bq|(`Nw!QG6 zeBxo|e9LW-cR+zhtyKBIr7bJ{*~in);^{DwI0bl}twdUibYKxYlN!Cy7q##-3?*Hv zYN0+`+;Mpb@Dx+jam8?jI&5sZst0~P0>!vfVMB0#XBBw%dOUn2J5pyPJ1*$O%GYN% ziFs>~RCHVYy7$!zzWEPS2J8-8=@4UZLbNibEFIMTtnz4X9WcsBdb{t9)OLOL>pLl$ z5Sr25;@Wn)>+yt)zO*jr?6N(Lp#(DusB&T1-+Wx?{iA{p#K-g+d}3F-njW+!9RVc* zv&yEAD1h}TUBlI&69&)|hjP?Iz&OVvndNCl@rjH#Yfoo9tZ=&z=!_7p)q8L+tD!d7 zncS@hBIxuZ@6^A4<-!|9K}vLc@BIy-+Luwi6E~?kmYMH6O`mf5HYf9PScwT@DoB}( zbDBOf-*6w~yHbG`7n>!5nOZaHpc^))T;}(HM9ZnVDf}?^fy`;7;|$&hhF|9Z|ITX8 zG(sJe*YQek2q8de87+N$FnrXFvGgXg4HV$%D!-)5eCh9am!lOhbO9X=PFeva?^C=x z(B;%1&`wZ#_aPMs&FbvMGbuJN~?f$rr+TY*^^a4^h11jMFZj(FmLhspLJIp>re z?PCES!Tz;Sx~AQB_D8BpkAi^q^P-v8zq7oc2<$Ie{?9!DasN62|2hHxpE?0aoio3B zT~P98{qHCOeLX9$*c%v^+>g0etZ9jrbPd84eHu@vkRDT6>NPBh)vm3%37NX7zXBqV z+0)|>o7!HBMtTI*bOaV1CRLa0E)%xkN%;5(rY`AE9tZ0+DxXufyYs{x=bTV{6^tw; zXnvB_27K6dO=IleSbiTg(P@#ZQGX8g`15)pK%k=0UZt-Xng}q2mn0*l1WvND4nv5Kf2Q{prL%VF{>OIyCCIZPTi2ZtUA2`sspq;wLF(P? zGTn#cFk8yzN3(7ug@F4i{zLGcW@{{ieQB8w-x&po>V*OML!~o3kO|(ZNS;G>k$}7` zVOhrS91Cp(zskWtPtighrTTd55)A97hX)_N+sC36#Br~(JbC?dH~baJHCZ-qTwXz& zdrs#^QS~`@0b*oc6f7z6h@kxk3QWZ6mGWyH*>-}HfU`576PmnQ{f~!Zw;TFPclJx| zw`OIRLc_@>Xt!N&NJw(^UtgqU67SAQ(%p^5pNgRQLcuaj0_Fup#11%#9OndBiirRi!Z*n6hUK#IB)M?xyYZ#Exb4~IN6W}7#_b*<@eyZ7S+vwt z(=9y!(U&_(`*hE1x?IDvxNgiX5vI)i<}>;o!)%5_af8*t;t4Groj-h$4Be~^`^HQ# z`U-4KBY_>8wWN$zeYls_BVV}^c0!=HrI75~fpRh*La%446llNykXPH0?1>_Mc)Y26W??xhD7W26+=Xmwg=z2iB>^Wiy7nyptgWoKvD^{JnfWS>+Br#Fvta(LDSx!A9z)`W*o**b%=C9h!5b(RL;L@Cjc4IbD8qHnJF zqSr3+1rbvBxkl?-pKopngCVMRv)X62UdjQ+BUD@ewAk-*V7&~B^-u1J`xgII4E|LN z{*Tc8e|0ffC7+i59shXiFY(X%!h}>1mWp6vcTSUE>HzTbAuKsq4N(6SmJA@Uf7kn% z)@V{E7@0Z_!tqE~(yq&%GuJQnlQhVF`VWAIf*Z>5L-uxD+Y8^3P%KBq{lj-2Ibdwz zV$)aTOwAyb!%>0cLq-zT*oqnkHzzaGze5?5KDPq*GCc5KPDq2Xp~P?m8tq2EHM58JU~WRI4;1h zqCHYffH9ONioOp+9I z@wmsI8ju7?voRT+c8_m6gPd<0^X`e&yvqtl?uegy3ZG;AaJri9&?Zt%UPCX6u=ep4 zE?NRRuR!pUPms-M9qN*taR|K42+GiGM5^zEsu)+vJ87lIjiM@v*=f5(P;3Q6Fjsd< z($g|Qi?KKmumq)P|9QumboBH~N>G-jX4@%Y?d1o#OdxZKHR~ly*XpO!n^c1GaLu|S z;-4%{E3nZB0`YesH_1oiB})T-LHP?%c=CXN&I`p^DfykI>p^K68?+Vl^#bQX^hQ{o z^mm#@_?@O%1@K@8B?HvqPl;blrnGLMhy0|6GPR;_$CB@zdjNJcM_An<;T!gW2;y-+ z(Y9NQ5-`H$-V*lQ*m)724I2|a-pUi};_yt{r@6M?-@JMq@&=Tq8D}qQd-gMtpTMDI z=SY5sY46sbH2qt!5Ca_{;4pr1`UqkadDht|MxO*N%gbGq4RedflDo!vaU7h>xil9a zu4VU?+oKlGh7Tx{a{{;7O(ix53z>pCP-ll@ZK*r}6K{E%M@vC3#W8Vhf%_HKm62r^ zCEM;7P`^mL0uF+hSpL5urr_&4`-TtO8kVoY4>F7UUiWbUL|!1Ksr`b_F2#7ZP6h)@ z<^J6j6>U>}^D0bi`Z9`md-Ll$!y2ukTf;d%!hF{WH>}~~{1N%blOl$8DFjXV{KuzZ z;oymJi(H;|B&_ZS*W^^yb6eAgRlfG))^Jb*tIF&0RIyUy^8>M5K;xx>%~Kck*?oFx zV5|6H9B2KClkFmak&tjqfU(?dd@%7r5S>@DV44BBtuuOTdTc|mxZSDwRMM4fhq5QU+mGL1x9gh&+et|V;Y*D6)kWwzdyrWb3o@(L z-QcvUL1q>DFS9DvPVSdk1@~fB`GL%;YDAow>0kQ&@plJnDtFEft%G>HE-EAcVpg$& z%&N_^lC{s|<+2qVdLXxT;VW~^d?54w!XJu>kjyORoy*+}8UD+wLbx%I?i;hB z?K>Hmi7XTtwpDDwsMAMGg*uQQuh)B|zJUTk%mUEj0<%Og8w4@+0ayN)J0OUO2ZET$ z!%zo9r;!LVi6F!;1A_U#AZCbq3J7AR-lTy4ftX<+hzXJ=ZE_%pDfb&g>Q=%XAZ z2x3x#ASUH+hzYu!nhVf~+g0@ZS(q@fXDO8r1&-@~J@}U-1RxhyMck;x8b- z@CD=#w<_K!IP%H<1@bxn4)XbBmAIbvesg@E6A;ILY!H9p_&m>4l})x;?TGHPO21En z?cU2t_&r$wNCr(7oYU5YNPO!&W%yb?P*vmm*~<)r{KIrH!~y0sG{Qp2!~Ib*UM$CV zu=~TGFPUAftc{;<*owEMLEWi%I-3^>SZQBbUrk2k+w304H%@EZcQn}!uK7yJb!tr&+~(NMULI1#P9cD9b*5}Rn_?{5 zKHRD4znNeEH*4$S#o7|10a;s*FV>ds^d+UW&+*=iwdM4ewZ%E%d1Cm&{V%^B=j_z~ z;{LRj|KR@9f8+l7Aa9EiHXXHl}K#SdP>Hv^Z7wr7WeIOq;dWW$NGH#O`XA;+mKqUfH8D7vn+r^KHQS559 zQ#@9UQ*LPN^sqMq*+8uHQ!P+s@CH=@!O|B)7w~K5;1|RPxnM6gm#vCd-W^ESzZ4A6 z+=2J+*@G8*D>EN8omv&N3*_Q@feHlP9}N#e`Y#n?RG$>2;eAx;rZ=y1GF~)1)^+%r zaPKKs*B=f4aqzc>_u^Vcx!q=oetO6!F8?Lso0nSwzR}%i>Q3W8%R3DNXI&ToSfuzI z+aD2g_zw{y1^fmNstkX%vZi&1x=VCTpjI~ZesHWo{npVFzO1aMt&vchbNRP}yHePn zX`8lGP&O!AyLYt_MQPi#ZD+pJbC;&vQ15;HZw@XmVgLA_;Tu6Bz5`GHvk#Z#MO24C zf|2{S=0EmU8U6hm3T^<*Z~3#-W(o5-N9WJ<4HfO3b@Vd&Tfz2pao0tsW`RHQr++O~ z`NiJKbnb5R{7e4qIobV@KY!HE?qBMM^0)fADCJGBiz297`kVUs@mu|10GVLnIR97V zPw2no&&y20|2y&r_u(J%=a~2U6pZJR5(F)E%l0gPL(9ghIsM-O-hJ}l72q$^Hb_^4 zK74L}m-nFQGS?Sa^8;q)_jDNmc{@vNnDWnfS*wtqp3wAB@`pd;WgvDRbJVcs;#~of zK5;92G2OrQz3@S>_jO)byV<$tDDcmCS*_yl>9YI7@xt3{L!VDN%kpwTH5?@+dz!8S z)&!hZ&73%NwK|2y+U4N0wYpc4IW0#Nz+ey%c;1`)k0A>^~ha``?51|Nk8@yW!eQ9{hI$W*h$) zFq;Gon1z4_%pMZvEPuzp)x}Hvv%HK`zVJ$xzbSvDKgvI*+uZ6!`E!eal>b=TRa^Q| z%dwa1GXHWxh`m|*Lk>gn!d=~ptg4^aLcMMNNV@t9s%$!VL6r>YkH?9&rndLyRcpv4 z?|qhKZT&zaI`Dr+bckb`Gu!_t|F+^_evtAP`=k7|SE91STiOxSUaj)9T&vVeRj$_468KBwgrk53#*I=E8na{Z&95>(2uiVge!~C%$BbRKzF=? zBvq8MKI~S(>+U4vU(zL>WX&mQWfaNurc0r7`Xo9fiW=lpWS9AASty&q2=>GrVN2iY zTNKiU-D8QhZJ_nwOl!v6Cavgyl^HbP~S_D=G zd0-zn(XqIgM8*+TOJNth-o(55pj(B?AZKjawu%p$1-`i7yKt!yOy42Dab638D4M|5 z(X=`Za%G8(j0{2;e<{gTFsEPl*=MuxZG;CcrW_(eh}U{_HpNP?;aOtk~0=9PGde|%_87XyL;c)Owp zQZ<+l-g^>U=;{ChKVL;^g7?x2%=me}Me!JAui)NN!LWfv6o!&lP_e(#rE(j`-;7sd z&d>;%N(B>o#YtB_1$z_X1D5^H08UR-fd#!1Kt;~ihf8AYhhvCDV&oTW-%*;$A&w0( zg_wcl64Xj``SY_)g?$eHRaR3?03LQmKvE~ZS^~v*?xY?n38q;$c1_(h^rvc)Vs?^x zu`)lfj_D5k8UF%&(OS6(wCEuG)shdCGlu1T?BHV)RG*{F246)uful}UL^~D5o{YqUJ@eJDxdz2%c54PCq4ji^L zSyXR%PycLoI$>Z8r>HxdCg5j_n(qa%mv7d!51}0%UjOQuP!v*d3iE|{06nTp$)#af zu_br#yVLfMWXD2p+9@KnX*zNGb|v5scp^J9N(gx4J4NFw+IxJMlG|VqUA4Y|eF89- zPT=z=d_)*WV9|@f?syN2&UG>)v_y+!jA>Gm5ja=)I#RfVzD4@$UKXL@ST+hFdJ2(} zmZ-lnid?6ixIYvjn!?AHiomF#;GQHL6b+=XYcXu;hm+7Ea*8Y!DK)xjEHmO0;bl9H zdJ4XRX}{_-&l<3c*zIY~rl`}i=5FGlp{^q{*p3gf>| zkS}}l?OZR}K_H`5;{rw=``ZQy8Ud@o^5>5)5%s^StbSGo^o2T| zVfXQof=T2hS(|KA;mwhqnlGdOaMp~5s-uZuc`I9K!nzrn7F*j^lZV!ngv3iX#DS?p zl1~C)`}!s?76yBf z;utZ<*Y_^o%3|HN@g!6)oi1TR;cV#PVxKB5YZLLubE`NXy5k>ccwE~K5?hG&jYg3hmDob zSx(CO!i_FSv`dGAx8{55Xibe%2o`;TRf(z+CT`otHfOgFh|{t<$~G*?E zTs!1%D%7i7SQhK!?W`jt%+VWK% zU1%htBIt4zKBgcTzu0T);|E+*V~Elywe1$;Z&!z}ARW;Qi2d+1ryB}Z$T5FLtKo$b z&VKV9rk{r3ZCZsnu*#6nmq!-`_LWA?@Nk~T7~1fwR2nKNETpLJAoAspc3-4%yoPJ7 z$5u~l3?@wp57T~PTzqRz>-0)N>zD}yuU9M^p)bKoQjMvl2FB!g7I6Zy3u4gLdA{hO zg}XS-2+VTxt>hc=Xl2>R6!&N=snY8x1g}!VkPJhue!U~ScwZ9~syE4X*olLghGWM; z6=WikO~b>-sEa1Y`Za1WoF^t*5nh^<+0sFTFNAcOTVmoXw#2)+S6@C^n2EbFPG3;C zRSsudo_H3_TZlOb>agPh<{VCf!;zDmQ4l(uX{h;oPf%-no!3IaI%OSL!Y+qbTXTD| zMKC2&zoXiDGu*x^%z8a}h-33g-4nl1A&Cuo^FyJGVU>>cI98+2vmyQDTCD0fX zvU@XXDq8rlwCGe!&@bE?@fJ8^RF=SjEh=s_@kIzPwR;&>Q(VRnfNq@iY2S{`4o+By zyp(`@NMzo^4i&`-AyV1YFq@gaAe8A?$6cGY2{6$2wxV(A^Eit{36F|1M_NCwxrAS( zisAAgxIKTAshq<|V%}DXn)_x{d`zQ##*JqTdg1EE>#h`FgJoioD1o9G)?;gCJbD#1 zpQNLiDw~vM><6QgoLm^z1WYx_6^!sv;UsrwSX-bknt zJ)c%M*hSx$?os*`4oitAb6Ih)43~=Arz87I86_Nyh4|3h*WZ-`3w$v4=7Lmtv^W#W zQjR{byk>}#>d-PYhQ_bww0Vy)X7|LT=D)|&5-#pcquh>x34p_-NajjuFV6X@XQ+x&8EvyNFg$$YGyn+wXiHOpxjWSRNRp9tL@pp_4 zGY5C}RvmyW_D{GN7h4@;gM zN4G|gL0jiAws|<5=ii(K1JPgQFg7yXSCiG3Ap3a0wnMN{iH#K_zN2@1MTtaZP1-FW z)aG-4w>um#?9l=gvsqzc`@T8l-iD!gG+Tw-`c~@Lyfqv2xdW>cjSVGM9rW#vzinmG#_!F5cUU z6xEOgz?7*}3l2^b8mj{j7-uKV8=nm48>DVsZ?7*r=2enm${Fxz}Nzb1>;E(_?PmG_7ri60|Cx;xTV6q_ATjm#Ze>%Iz z|Ek#q`$V|v+eR|YL&C%XBZeZ1-b{}kLWo=0D9T^B6uuz^fpRPp;U!G-Y-3nCn{cr{ zJ$`B*6+{r+B^3b%)2_tf0};+U4@*`@pQF<0|448M?p<^BrEbd8nj&N+UBJg#S<)Mj z3|d@oJ!2%?$$4uy}q%?`lA433$QPM5+yzh+u?LgZbwcNrB4<+J{IM^-VPofcSlsx z5o&?f*o2BIJ?(&|W+>CdbZ3Y}-Bd)=Te}1#Q%O6Rz*e%$(`3`*wAY+Ae4${3gt2}% z_dz9y5cRJi;+>WftjpaVo_g=QDH#wc>Gg^t7Bu@exwu+j?yssQy5 z%T})b#ka%z4s{LcwYiJ5sOc$u-p@CrQjJ=4F|*y2hIT(8=!KeeCzzEo%pxeOE}q^= z0zy);BkKh=>L8~)p(Rl^K9w(-N`7v?; z3G}1bF0(nGQ=BRiJ)-+StLErM$#?D27wOYz?cvvlX62q_>l?lEXI^!HhF1(G>4Ng4 zk6g)R;psU9T>98jdBS#?UOya9PVU`R%#st0GQGX+tdTd=i6)b8l*3f?WgMc79==t~ z$B*l93qnO~6MjhvS`4O3vr6|4*UII&RWa4$39PQqJ@;5c%)@bQv>s6GBHLF{Q4>k# z)ruQ4#^Ep@e9H9>n{I6e&^-68aGOd}KN)Z=kz&GkY)c2n@S1borT8svH<)1ju=bx~ zSjzKSykM<3OqRFw=mp)6KO}A%)3a`6wQe!a2Oo{6s`NYK*+e z&H*FsoxVU+sakLOT*KDVSqKzvFL%>G!l6^>thH;AwvIPY70W>f@MXyDviSu6ddGRy zqrAH;UfU&ia1P3GaL$>x!m{V-C$bia^Zc~7%c%!IQ!dzz<+J8)3^3k6#=CENRsAr~i(VtoLn=i#7 zdTsKhg`BEk2-#(Q25>Zbcohc#E@-BdV0CpdEH*thF8N>{J2bBuez)D4IqE81Nna>6 z-DapJV4%n~gR1C5KVi&uS-nEmoS!+@57BJZuN${DcF8|+4r#TzS1%tt44$`WCZAj9 zM5%YQJg)d+ElBFzSj%e|AvpcRZ-Muxk)}Maw#g$?bz@ABHh|2(wOhbt5T|;Hj}Ez- zj>Qr-+5PK+(JgZGeCe$0(n&?9Q(ENKavk2l5JmrXdkXh{il#^LqxBn}9-{2s`6(S) zhCEs>7)IL@Wq$u_OFrR^@#H*!Aa6eg!lNV+jIaN-7?&W3iVV@b!L?9(O^ zjIH-=TsP!XE#TN%x&ZXAr^(@p1K%xdAdZV?lDK3->%eontwnuwO|3=Bqie$ zTd{NThMgGP?Ib;6*N3RQ35gJ{NwFQ@-xv%EP9Vqu7;Dss5YsP=O$5{!$qn8LXcT3V z->b@VpK1rl3!ItPGR5t!9)I#eP-3iCVfpm0~t8pb^D6z$8(;1$rbs zfzbxi#MR{beAVcavEg%-;d9oObSZCrFf&K!J^;0v9PwM9tVqACh;9m2lp*Zws4}`_ zeWC?-u+?EROjWbQ2Cl&Xv$9pt)pyp(*sLvFhdCV44cx3l+-b7XQ<|BwjPc5t8u+p z7s!ya3N&kkBG$s6dn)i1YvA+L6_M!o&b719q0Js)mV>5#Pg;O;aRaxQ;K;yO>S3AT zX2F=*n3-7Em|2)vnK|j1*eIEpD5>EYWo?Z_^qq`Js6=>JUVi-dEkIOOI2BA55-Me5 zH4+(f7h@9878XV$V;7(cD;yCV+sl#~UO)h-3lEw+z0rk0#b;%KXB0DcaC9PJ;pF}Y zyJF^KW&OpjqSO{_HaQTzM^$(2^L+_4W9jkK=qlz!KV%%%?QRvSA!5duh=tl#{v68F z)tyK%HJXRJBF9t0ba#{ZTvZq;DN}$NDBU%g@|KU1F9I%` z2TDOVLsHV26r_MdLz1#|xzQbS`5KucGX=htft~sWHweZSLgm(V0z=1oK~DWJ@Bv)R z9T|XXO!Fa@jKVF}Ovu+bY%RY+7+i~bZt4Eo^%{`eHswnL=Ks{v{0vLCH90D%oPXeB zgp@Am1vt3`Tl^@fxqI$3(f*v(eu;Z@aS^viC(t*!QT`opH-%WiDrG{ctDH-Jd%d)i z7y7jSarT%5tw3t|(aS2S&Bo)=u<8vpLXeX$o-2z>0Bpq`q9spDlLx|1=1t;|0}kDpMNmLg292!tb^ zT_bulyEmanhC#{uAtOHX={rcC(L0qYI7h#lPhy*Vk`Ft$=T$;J-A*4h*V3@Z^qNip z?<#{8b-}eGs)8VSu!jRF{bUi4=BkdgRb#40I4GFXZbLKB;8$Fr#re+Dpi(TK)yc#c zF*fI%>&H))KAJ)xzSY&47cjK6H@9$hwQ7=@4(iKB{1_Hd7FCmvP1uLrsT6c%Xqq?K zzpJFQkAqJMuIbno97J9}rTM;ltI~85(3l_|*4ybD;y*$y%A67hk8-ul(feQVdP6aUFM%T%y%QMhq5+|Wj5L|fz@`~~105>Y5IMs+85_|m@VdEL zJZbh08H==XGk!wDAd2(P1mtR`Y;g$Rp1@#x9^4b%irxy1dP_$0B*Up0G!)scBbi`f z=@juIJ+6#ocMe8}bf?K_hXs1V0H)Kh`p8?dYQ9kSL-g?r(dl3(wX)}H=qvT}ThV5` z+PvBxKKTh?9JBtJ{eB_s;7NhxT!%#1Izyo%sRdFSQCYU0^YT5Qd(oY`5%K5uJab zXoDW|zNP4$^?i$U%J7M(bwAvZZPpkSV zpVu6{wD5+R5G{EXO!b($6>fk5Qc;szDV#)ERhQ2>7tU>H!$S8+s{>XvLNEhXP3x$M z!?Eweamtxk5fg`n<`5;nFZu&YHdO(;%OH?_doj^hH zGW=Z)2(RH0Ey%}~{M2R_k1Ed89RgEnEPgA{suq*}Derme(ey|Va3I~aPu{8Ss>{^i zdAU(=~<)fzK*!8m-KW%rN$}DkzC~SJ_Bg&mxhukka2b`M;SiuWN z24L2PXH+uxFeYK+W`<`}CDCLiVI_IFsAy~JM8d|!MZ!d)2+t^KV`2;X#Qo=!2#F@2 z5HmZo2(u^?tMGefc2;3-Zn5{mq9UB!!ta^5**VzR1W5k#E!v3xR&SX(;`E590ptnN zRv$lN29GZ1*IzGpStA6sd1`vxL*8ZOzLPemrr%P(%gC+alQu9Q#Lc2;5)bxcmeV$* zL{2PvBSU!H6NVeWJnq*ig5iZ2iOlBKw(<=K*h*_1T|RhjmWz8UsdLwJ%d!ipEg>tWhsK25*8v%$9Kg4QiVNM}Dd|JyOI85pd7}?q zi{lLKj5^hnGnIQisCfCn_$ndFUV1l-exk z5-6_zHcYU0@8`+8ZTDy4cfndSVrrE}02jvoijK$-)`G}loxbPtt~H%#b^uI7KmClS z!con4kICSMBLKlNUvJpecsvp9)p8v!W@t@sVFBe9l5NDjLJXQ?6ea^)MrH7Z@4h#`{!A;v{15Xil}7U)gn=szJyGidv0 za`t<7gI;m>J^i7HhyE~h8^^=E8H6R7umR=Z-#aOa@R>rqz%btbHh#!BnrjX6eTz_A5jSD-LycoFDj+ysye`bF>e}+40rjxtUpHlLP6X+ zj7JI!co`*|Ot}EO?*s*`dI^f&CT%y>@dQ-c5wm81#%PUK5%C8F=Xzm^ZQ8GJs8v4z zJB+_$O<~!6Im5TW%kYmU(pO(aD}QtoA7g1vfq=R?=b_F=@dzpF{RqK$y$|LM$MXqa z3o$&SYiF*o1Z_v!LlNI9$n=H4`6W+YjD zq0pirtLC6u4g6skvI`&9lElNW2O6C~!ivNrb3E4;aSu|K;qj_axw=@xjc$6qXlCWJ zh4aVJh1?%nHa5~lOIrd@GDY26KFgnIn)gpfb9uBcH$oJ(8FW`jod>p5J#w40pDyKd zX&8u~j^D=&0xpY`%V}j=DW`YfV`vl~%T6vS0b#U!n!_hc<#;}Bg55Docs?GnYrtVd zMxW7>ei*!`pWjZdaqynzM^4VlOXl}N@Xp@gSr`OQbR%Al*0i#4ABP9