From 5e28383fd8ef1eb02572886284451abc35f15af5 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Sun, 26 Dec 2021 17:59:35 -0600 Subject: [PATCH 01/10] set up paper framework --- paper/paper.bib | 0 paper/paper.md | 25 +++++++++++++++++++++++++ 2 files changed, 25 insertions(+) create mode 100644 paper/paper.bib create mode 100644 paper/paper.md diff --git a/paper/paper.bib b/paper/paper.bib new file mode 100644 index 00000000..e69de29b diff --git a/paper/paper.md b/paper/paper.md new file mode 100644 index 00000000..7ef1f0af --- /dev/null +++ b/paper/paper.md @@ -0,0 +1,25 @@ +--- +title: 'NestedSamplers.jl: Composable Nested Sampling in Julia' +tags: + - Julia + - statistics + - bayesian-statistics + - mcmc +authors: + - name: Miles Lucas + orcid: 0000-0001-6341-310X + affiliation: 1 +affiliations: + - name: Institute for Astronomy, University of Hawai'i + index: 1 +date: 12/26/2021 +bibliography: paper.bib +--- + +# Summary + +# Statement of need + +# Comparisons to existing software + +# References \ No newline at end of file From 5f685f7ab2d9082af7d49cd1daae14b62f8f1f6f Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Sun, 26 Dec 2021 18:47:29 -0600 Subject: [PATCH 02/10] work on first two sections --- paper/paper.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/paper/paper.md b/paper/paper.md index 7ef1f0af..1bc4716b 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -18,8 +18,24 @@ bibliography: paper.bib # Summary +Nested sampling is a method for estimating the Bayesian evidence [@skilling_2006]. The core of the algorithm is rooted in integrating iso-likelihood "shells" in the prior space. This simultaneously produces the Bayesian evidence and weighted posterior samples. In contrast, Markov Chain Monte Carlo (MCMC) only generates samples proportional to the posterior. Nested sampling also has a variety of appealing statistical properties, which include: well-defined stopping criteria, independently generated samples, flexibility to model complex, multi-modal distributions, and direct measurements of the statistical and sampling uncertainties from a single run. + +The basic algorithm can be described by the quadrature estimate of dynamically evolving points in the prior space. The Bayesian evidence is an integral, and the nested sampling algorithm estimates it with a sum of discrete measurements, represented by an array of points. The nested sampling algorithm successfully removes the point with the lowest likelihood and replaces it with a point of equal or higher likelihood. At each iteration, the full set of "live" points describes a volume, which has shrunk by the removal of the iso-likelihood shell around it. The volumes of these shells are used in the quadrature estimate of the Bayesian evidence described in [@skilling_2006]. + # Statement of need +Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. + +NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezanson_julia] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entrypoints for using our nested samplers in various programming contexts. + +NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space, `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian), and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest [@feroz_multinest]. In the future, we plan to implement the ball and cube distributions derived by [@buchner]. + +NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint. `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample. `RSlice` and `Slice` use slice sampling in random or principal directions, respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@referenceme], which requires gradients and Jacobians. + +NestedSamplers.jl currently uses a static nested sampler (integrator), where the number of live points is fixed throughout the sampling. Dynamic nested samplers (e.g., dynesty, ultranest) allow tuning the integrator to avoid (or prefer) regions of high likelihood, which can be preferred in cases where posterior samples are more relevant than the Bayesian evidence estimate. In the future, we plan to implement a dynamic nested sampler which can make use of the existing bounding distributions and proposal algorithms. + # Comparisons to existing software +NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. + # References \ No newline at end of file From 7ba42ddd7727c722305c83f6544a9e965164e92c Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Mon, 3 Jan 2022 22:46:20 -0600 Subject: [PATCH 03/10] update paper --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 1bc4716b..10812c51 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -36,6 +36,6 @@ NestedSamplers.jl currently uses a static nested sampler (integrator), where the # Comparisons to existing software -NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. +NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. dynesty currently has more features, including a dynamic nested sampler, Hamiltonian slice sampling, and ball and cube distributions. The recent ultranest code has a subset of the features of dynesty. MultiNest can be reproduced by using our `MultiEllipsoid` bounding distribution, and the exact algorithm can be reproduced with an appropriate `Rejection` proposal algorithm. `Polychord` can be reproduced by using the `RSlice` algorithm, with typically an `Ellipsoid` bounding distribution. `DNest4` is ______ # References \ No newline at end of file From 0b934ce2cc9bd3463ff488d05691cdf9c1506315 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Sat, 8 Jan 2022 13:05:05 -0600 Subject: [PATCH 04/10] update paper with citations --- paper/paper.bib | 223 ++++++++++++++++++++++++++++++++++++++++++++++++ paper/paper.md | 16 ++-- 2 files changed, 231 insertions(+), 8 deletions(-) diff --git a/paper/paper.bib b/paper/paper.bib index e69de29b..97e3a95a 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -0,0 +1,223 @@ +@article{skillingNestedSampling2004, + title = {Nested {Sampling}}, + volume = {735}, + url = {https://ui.adsabs.harvard.edu/abs/2004AIPC..735..395S}, + doi = {10.1063/1.1835238}, + abstract = {"The evidence Z is often the single most important number in the [Bayesian] problem and I think every effort should be devoted to calculating it" (MacKay 2003). Nested sampling does this by giving a direct estimate of the density of states. Posterior samples are an optional by-product.}, + urldate = {2021-11-25}, + author = {Skilling, John}, + month = nov, + year = {2004}, + note = {Conference Name: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering +ADS Bibcode: 2004AIPC..735..395S}, + keywords = {02.50.Tt, Inference methods}, + pages = {395--405}, +} +@article{speagleDYNESTYDynamicNested2020, + title = {{DYNESTY}: a dynamic nested sampling package for estimating {Bayesian} posteriors and evidences}, + volume = {493}, + issn = {0035-8711}, + shorttitle = {{DYNESTY}}, + url = {https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S}, + doi = {10.1093/mnras/staa278}, + abstract = {We present DYNESTY, a public, open-source, PYTHON package to estimate Bayesian posteriors and evidences (marginal likelihoods) using the dynamic nested sampling methods developed by Higson et al. By adaptively allocating samples based on posterior structure, dynamic nested sampling has the benefits of Markov chain Monte Carlo (MCMC) algorithms that focus exclusively on posterior estimation while retaining nested sampling's ability to estimate evidences and sample from complex, multimodal distributions. We provide an overview of nested sampling, its extension to dynamic nested sampling, the algorithmic challenges involved, and the various approaches taken to solve them in this and previous work. We then examine DYNESTY's performance on a variety of toy problems along with several astronomical applications. We find in particular problems DYNESTY can provide substantial improvements in sampling efficiency compared to popular MCMC approaches in the astronomical literature. More detailed statistical results related to nested sampling are also included in the appendix.}, + urldate = {2021-11-25}, + journal = {Monthly Notices of the Royal Astronomical Society}, + author = {Speagle, Joshua S.}, + month = apr, + year = {2020}, + note = {ADS Bibcode: 2020MNRAS.493.3132S}, + keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, methods: data analysis, methods: statistical, Statistics - Computation}, + pages = {3132--3158}, +} +@techreport{chopinPropertiesNestedSampling2008, + title = {Properties of {Nested} {Sampling}}, + url = {https://ui.adsabs.harvard.edu/abs/2008arXiv0801.3887C}, + abstract = {Nested sampling is a simulation method for approximating marginal likelihoods proposed by Skilling (2006). We establish that nested sampling has an approximation error that vanishes at the standard Monte Carlo rate and that this error is asymptotically Gaussian. We show that the asymptotic variance of the nested sampling approximation typically grows linearly with the dimension of the parameter. We discuss the applicability and efficiency of nested sampling in realistic problems, and we compare it with two current methods for computing marginal likelihood. We propose an extension that avoids resorting to Markov chain Monte Carlo to obtain the simulated points.}, + urldate = {2022-01-08}, + author = {Chopin, Nicolas and Robert, Christian}, + month = jan, + year = {2008}, + note = {Publication Title: arXiv e-prints +ADS Bibcode: 2008arXiv0801.3887C +Type: article}, + keywords = {Mathematics - Statistics Theory, Statistics - Computation}, +} +@article{skillingNestedSamplingGeneral2006a, + title = {Nested sampling for general {Bayesian} computation}, + volume = {1}, + issn = {1936-0975, 1931-6690}, + url = {https://projecteuclid.org/journals/bayesian-analysis/volume-1/issue-4/Nested-sampling-for-general-Bayesian-computation/10.1214/06-BA127.full}, + doi = {10.1214/06-BA127}, + abstract = {Nested sampling estimates directly how the likelihood function relates to prior mass. The evidence (alternatively the marginal likelihood, marginal density of the data, or the prior predictive) is immediately obtained by summation. It is the prime result of the computation, and is accompanied by an estimate of numerical uncertainty. Samples from the posterior distribution are an optional by-product, obtainable for any temperature. The method relies on sampling within a hard constraint on likelihood value, as opposed to the softened likelihood of annealing methods. Progress depends only on the shape of the "nested" contours of likelihood, and not on the likelihood values. This invariance (over monotonic re-labelling) allows the method to deal with a class of phase-change problems which effectively defeat thermal annealing.}, + number = {4}, + urldate = {2022-01-08}, + journal = {Bayesian Analysis}, + author = {Skilling, John}, + month = dec, + year = {2006}, + note = {Publisher: International Society for Bayesian Analysis}, + keywords = {algorithm, annealing, Bayesian computation, evidence, marginal likelihood, Model selection, nest, phase change}, + pages = {833--859}, +} +@article{nealSliceSampling2003, + title = {Slice sampling}, + volume = {31}, + issn = {0090-5364, 2168-8966}, + url = {https://projecteuclid.org/journals/annals-of-statistics/volume-31/issue-3/Slice-sampling/10.1214/aos/1056562461.full}, + doi = {10.1214/aos/1056562461}, + abstract = {Markov chain sampling methods that adapt to characteristics of the distribution being sampled can be constructed using the principle that one can ample from a distribution by sampling uniformly from the region under the plot of its density function. A Markov chain that converges to this uniform distribution can be constructed by alternating uniform sampling in the vertical direction with uniform sampling from the horizontal "slice" defined by the current vertical position, or more generally, with some update that leaves the uniform distribution over this slice invariant. Such "slice sampling" methods are easily implemented for univariate distributions, and can be used to sample from a multivariate distribution by updating each variable in turn. This approach is often easier to implement than Gibbs sampling and more efficient than simple Metropolis updates, due to the ability of slice sampling to adaptively choose the magnitude of changes made. It is therefore attractive for routine and automated use. Slice sampling methods that update all variables simultaneously are also possible. These methods can adaptively choose the magnitudes of changes made to each variable, based on the local properties of the density function. More ambitiously, such methods could potentially adapt to the dependencies between variables by constructing local quadratic approximations. Another approach is to improve sampling efficiency by suppressing random walks. This can be done for univariate slice sampling by "overrelaxation," and for multivariate slice sampling by "reflection" from the edges of the slice.}, + number = {3}, + urldate = {2022-01-08}, + journal = {The Annals of Statistics}, + author = {Neal, Radford M.}, + month = jun, + year = {2003}, + note = {Publisher: Institute of Mathematical Statistics}, + keywords = {65C05, 65C60, Adaptive methods, auxiliary variables, dynamical methods, Gibbs sampling, Markov chain Monte Carlo, Metropolis algorithm, overrelaxation}, + pages = {705--767}, +} +@article{handleyPolychordNestedSampling2015, + title = {polychord: nested sampling for cosmology.}, + volume = {450}, + issn = {0035-8711}, + shorttitle = {polychord}, + url = {https://ui.adsabs.harvard.edu/abs/2015MNRAS.450L..61H}, + doi = {10.1093/mnrasl/slv047}, + abstract = {POLYCHORD is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. In addition, it can fully exploit a hierarchy of parameter speeds such as is found in COSMOMC and CAMB. It utilizes slice sampling at each iteration to sample within the hard likelihood constraint of nested sampling. It can identify and evolve separate modes of a posterior semi-independently and is parallelized using OPENMPI. POLYCHORD is available for download at http://ccpforge.cse.rl.ac.uk/gf/project/polychord/.}, + urldate = {2022-01-08}, + journal = {Monthly Notices of the Royal Astronomical Society}, + author = {Handley, W. J. and Hobson, M. P. and Lasenby, A. N.}, + month = jun, + year = {2015}, + note = {ADS Bibcode: 2015MNRAS.450L..61H}, + keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, methods: data analysis, methods: statistical}, + pages = {L61--L65}, +} +@article{handleyPOLYCHORDNextgenerationNested2015, + title = {{POLYCHORD}: next-generation nested sampling}, + volume = {453}, + issn = {0035-8711}, + shorttitle = {{POLYCHORD}}, + url = {https://ui.adsabs.harvard.edu/abs/2015MNRAS.453.4384H}, + doi = {10.1093/mnras/stv1911}, + abstract = {POLYCHORD is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. This paper coincides with the release of POLYCHORD v1.6, and provides an extensive account of the algorithm. POLYCHORD utilizes slice sampling at each iteration to sample within the hard likelihood constraint of nested sampling. It can identify and evolve separate modes of a posterior semi-independently, and is parallelized using OPENMPI. It is capable of exploiting a hierarchy of parameter speeds such as those present in COSMOMC and CAMB, and is now in use in the COSMOCHORD and MODECHORD codes. POLYCHORD is available for download from http://ccpforge.cse.rl.ac.uk/gf/project/polychord/.}, + urldate = {2022-01-08}, + journal = {Monthly Notices of the Royal Astronomical Society}, + author = {Handley, W. J. and Hobson, M. P. and Lasenby, A. N.}, + month = nov, + year = {2015}, + note = {ADS Bibcode: 2015MNRAS.453.4384H}, + keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, methods: data analysis, methods: statistical}, + pages = {4384--4398}, +} +@article{mukherjeeNestedSamplingAlgorithm2006, + title = {A {Nested} {Sampling} {Algorithm} for {Cosmological} {Model} {Selection}}, + volume = {638}, + issn = {0004-637X}, + url = {https://ui.adsabs.harvard.edu/abs/2006ApJ...638L..51M}, + doi = {10.1086/501068}, + abstract = {The abundance of cosmological data becoming available means that a wider range of cosmological models are testable than ever before. However, an important distinction must be made between parameter fitting and model selection. While parameter fitting simply determines how well a model fits the data, model selection statistics, such as the Bayesian evidence, are now necessary to choose between these different models, and in particular to assess the need for new parameters. We implement a new evidence algorithm known as nested sampling, which combines accuracy, generality of application, and computational feasibility, and we apply it to some cosmological data sets and models. We find that a five-parameter model with a Harrison-Zel'dovich initial spectrum is currently preferred.}, + urldate = {2022-01-08}, + journal = {The Astrophysical Journal}, + author = {Mukherjee, Pia and Parkinson, David and Liddle, Andrew R.}, + month = feb, + year = {2006}, + note = {ADS Bibcode: 2006ApJ...638L..51M}, + keywords = {Astrophysics, Cosmology: Theory}, + pages = {L51--L54}, +} +@article{ferozMultimodalNestedSampling2008, + title = {Multimodal nested sampling: an efficient and robust alternative to {Markov} {Chain} {Monte} {Carlo} methods for astronomical data analyses}, + volume = {384}, + issn = {0035-8711}, + shorttitle = {Multimodal nested sampling}, + url = {https://ui.adsabs.harvard.edu/abs/2008MNRAS.384..449F}, + doi = {10.1111/j.1365-2966.2007.12353.x}, + abstract = {In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior distribution may be multimodal or exhibit pronounced (curving) degeneracies, which can cause problems for traditional Markov Chain Monte Carlo (MCMC) sampling methods. Secondly, in selecting between a set of competing models, calculation of the Bayesian evidence for each model is computationally expensive using existing methods such as thermodynamic integration. The nested sampling method introduced by Skilling, has greatly reduced the computational expense of calculating evidence and also produces posterior inferences as a by-product. This method has been applied successfully in cosmological applications by Mukherjee, Parkinson \& Liddle, but their implementation was efficient only for unimodal distributions without pronounced degeneracies. Shaw, Bridges \& Hobson recently introduced a clustered nested sampling method which is significantly more efficient in sampling from multimodal posteriors and also determines the expectation and variance of the final evidence from a single run of the algorithm, hence providing a further increase in efficiency. In this paper, we build on the work of Shaw et al. and present three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies in very high dimensions; we also present an even more efficient technique for estimating the uncertainty on the evaluated evidence. These methods lead to a further substantial improvement in sampling efficiency and robustness, and are applied to two toy problems to demonstrate the accuracy and economy of the evidence calculation and parameter estimation. Finally, we discuss the use of these methods in performing Bayesian object detection in astronomical data sets, and show that they significantly outperform existing MCMC techniques. An implementation of our methods will be publicly released shortly.}, + urldate = {2021-11-25}, + journal = {Monthly Notices of the Royal Astronomical Society}, + author = {Feroz, F. and Hobson, M. P.}, + month = feb, + year = {2008}, + note = {ADS Bibcode: 2008MNRAS.384..449F}, + keywords = {Astrophysics, methods: data analysis, methods: statistical}, + pages = {449--463}, +} +@article{ferozMULTINESTEfficientRobust2009, + title = {{MULTINEST}: an efficient and robust {Bayesian} inference tool for cosmology and particle physics}, + volume = {398}, + issn = {0035-8711}, + shorttitle = {{MULTINEST}}, + url = {https://ui.adsabs.harvard.edu/abs/2009MNRAS.398.1601F}, + doi = {10.1111/j.1365-2966.2009.14548.x}, + abstract = {We present further development and the first public release of our multimodal nested sampling algorithm, called MULTINEST. This Bayesian inference tool calculates the evidence, with an associated error estimate, and produces posterior samples from distributions that may contain multiple modes and pronounced (curving) degeneracies in high dimensions. The developments presented here lead to further substantial improvements in sampling efficiency and robustness, as compared to the original algorithm presented in Feroz \& Hobson, which itself significantly outperformed existing Markov chain Monte Carlo techniques in a wide range of astrophysical inference problems. The accuracy and economy of the MULTINEST algorithm are demonstrated by application to two toy problems and to a cosmological inference problem focusing on the extension of the vanilla Λ cold dark matter model to include spatial curvature and a varying equation of state for dark energy. The MULTINEST software, which is fully parallelized using MPI and includes an interface to COSMOMC, is available at http://www.mrao.cam.ac.uk/software/multinest/. It will also be released as part of the SUPERBAYES package, for the analysis of supersymmetric theories of particle physics, at http://www.superbayes.org.}, + urldate = {2022-01-08}, + journal = {Monthly Notices of the Royal Astronomical Society}, + author = {Feroz, F. and Hobson, M. P. and Bridges, M.}, + month = oct, + year = {2009}, + note = {ADS Bibcode: 2009MNRAS.398.1601F}, + keywords = {Astrophysics, methods: data analysis, methods: statistical}, + pages = {1601--1614}, +} +@article{bezansonJuliaFreshApproach2017, + title = {Julia: {A} {Fresh} {Approach} to {Numerical} {Computing}}, + volume = {59}, + issn = {0036-1445}, + shorttitle = {Julia}, + url = {https://epubs.siam.org/doi/10.1137/141000671}, + doi = {10.1137/141000671}, + abstract = {Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast and questions notions generally held to be “laws of nature" by practitioners of numerical computing: {\textbackslash}beginlist {\textbackslash}item High-level dynamic programs have to be slow. {\textbackslash}item One must prototype in one language and then rewrite in another language for speed or deployment. {\textbackslash}item There are parts of a system appropriate for the programmer, and other parts that are best left untouched as they have been built by the experts. {\textbackslash}endlist We introduce the Julia programming language and its design---a dance between specialization and abstraction. Specialization allows for custom treatment. Multiple dispatch, a technique from computer science, picks the right algorithm for the right circumstance. Abstraction, which is what good computation is really about, recognizes what remains the same after differences are stripped away. Abstractions in mathematics are captured as code through another technique from computer science, generic programming. Julia shows that one can achieve machine performance without sacrificing human convenience.}, + number = {1}, + urldate = {2021-07-20}, + journal = {SIAM Rev.}, + author = {Bezanson, Jeff and Edelman, Alan and Karpinski, Stefan and Shah, Viral B.}, + month = jan, + year = {2017}, + note = {Publisher: Society for Industrial and Applied Mathematics}, + keywords = {65Y05, 68N15, 97P40, Julia, numerical, parallel, scientific computing}, + pages = {65--98}, +} +@techreport{buchnerStatisticalTestNested2014, + title = {A statistical test for {Nested} {Sampling} algorithms}, + url = {https://ui.adsabs.harvard.edu/abs/2014arXiv1407.5459B}, + abstract = {Nested sampling is an iterative integration procedure that shrinks the prior volume towards higher likelihoods by removing a "live" point at a time. A replacement point is drawn uniformly from the prior above an ever-increasing likelihood threshold. Thus, the problem of drawing from a space above a certain likelihood value arises naturally in nested sampling, making algorithms that solve this problem a key ingredient to the nested sampling framework. If the drawn points are distributed uniformly, the removal of a point shrinks the volume in a well-understood way, and the integration of nested sampling is unbiased. In this work, I develop a statistical test to check whether this is the case. This "Shrinkage Test" is useful to verify nested sampling algorithms in a controlled environment. I apply the shrinkage test to a test-problem, and show that some existing algorithms fail to pass it due to over-optimisation. I then demonstrate that a simple algorithm can be constructed which is robust against this type of problem. This RADFRIENDS algorithm is, however, inefficient in comparison to MULTINEST.}, + urldate = {2022-01-08}, + author = {Buchner, Johannes}, + month = jul, + year = {2014}, + note = {Publication Title: arXiv e-prints +ADS Bibcode: 2014arXiv1407.5459B +Type: article}, + keywords = {Statistics - Computation}, +} +@techreport{buchnerCollaborativeNestedSampling2017, + title = {Collaborative {Nested} {Sampling}: {Big} {Data} vs. complex physical models}, + shorttitle = {Collaborative {Nested} {Sampling}}, + url = {https://ui.adsabs.harvard.edu/abs/2017arXiv170704476B}, + abstract = {The data torrent unleashed by current and upcoming astronomical surveys demands scalable analysis methods. Many machine learning approaches scale well, but separating the instrument measurement from the physical effects of interest, dealing with variable errors, and deriving parameter uncertainties is often an after-thought. Classic forward-folding analyses with Markov Chain Monte Carlo or Nested Sampling enable parameter estimation and model comparison, even for complex and slow-to-evaluate physical models. However, these approaches require independent runs for each data set, implying an unfeasible number of model evaluations in the Big Data regime. Here I present a new algorithm, collaborative nested sampling, for deriving parameter probability distributions for each observation. Importantly, the number of physical model evaluations scales sub-linearly with the number of data sets, and no assumptions about homogeneous errors, Gaussianity, the form of the model or heterogeneity/completeness of the observations need to be made. Collaborative nested sampling has immediate application in speeding up analyses of large surveys, integral-field-unit observations, and Monte Carlo simulations.}, + urldate = {2022-01-08}, + author = {Buchner, Johannes}, + month = jul, + year = {2017}, + note = {Publication Title: arXiv e-prints +ADS Bibcode: 2017arXiv170704476B +Type: article}, + keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Data Analysis, Statistics - Computation, Statistics - Machine Learning, Statistics and Probability}, +} +@article{buchnerNestedSamplingMethods2021, + title = {Nested {Sampling} {Methods}}, + volume = {2101}, + url = {http://adsabs.harvard.edu/abs/2021arXiv210109675B}, + abstract = {Nested sampling (NS) computes parameter posterior distributions and makes Bayesian model comparison computationally feasible. Its strengths are the unsupervised navigation of complex, potentially multi-modal posteriors until a well-defined termination point. A systematic +literature review of nested sampling algorithms and variants is +presented. We focus on complete algorithms, including solutions to likelihood-restricted prior sampling. A new formulation of NS is presented, which casts the parameter space exploration as a search on a tree. Previously published ways of obtaining robust error estimates and dynamic variations of the number of live points are presented as special cases of this formulation.}, + urldate = {2021-02-10}, + journal = {arXiv e-prints}, + author = {Buchner, Johannes}, + month = jan, + year = {2021}, + keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Statistics - Computation}, + pages = {arXiv:2101.09675}, +} diff --git a/paper/paper.md b/paper/paper.md index 10812c51..6fdd2494 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -18,24 +18,24 @@ bibliography: paper.bib # Summary -Nested sampling is a method for estimating the Bayesian evidence [@skilling_2006]. The core of the algorithm is rooted in integrating iso-likelihood "shells" in the prior space. This simultaneously produces the Bayesian evidence and weighted posterior samples. In contrast, Markov Chain Monte Carlo (MCMC) only generates samples proportional to the posterior. Nested sampling also has a variety of appealing statistical properties, which include: well-defined stopping criteria, independently generated samples, flexibility to model complex, multi-modal distributions, and direct measurements of the statistical and sampling uncertainties from a single run. +Nested sampling is a method for estimating the Bayesian evidence [@skillingNestedSampling2004]. The core of the algorithm is rooted in integrating iso-likelihood "shells" in the prior space. This simultaneously produces the Bayesian evidence and weighted posterior samples. In contrast, Markov Chain Monte Carlo (MCMC) only generates samples proportional to the posterior. Nested sampling also has a variety of appealing statistical properties, which include: well-defined stopping criteria, independently generated samples, flexibility to model complex, multi-modal distributions, and direct measurements of the statistical and sampling uncertainties from a single run. -The basic algorithm can be described by the quadrature estimate of dynamically evolving points in the prior space. The Bayesian evidence is an integral, and the nested sampling algorithm estimates it with a sum of discrete measurements, represented by an array of points. The nested sampling algorithm successfully removes the point with the lowest likelihood and replaces it with a point of equal or higher likelihood. At each iteration, the full set of "live" points describes a volume, which has shrunk by the removal of the iso-likelihood shell around it. The volumes of these shells are used in the quadrature estimate of the Bayesian evidence described in [@skilling_2006]. +The basic algorithm can be described by the quadrature estimate of dynamically evolving points in the prior space. The Bayesian evidence is an integral, and the nested sampling algorithm estimates it with a sum of discrete measurements, represented by an array of points. The nested sampling algorithm successfully removes the point with the lowest likelihood and replaces it with a point of equal or higher likelihood. At each iteration, the full set of "live" points describes a volume, which has shrunk by the removal of the iso-likelihood shell around it. The volumes of these shells are used in the quadrature estimate of the Bayesian evidence described in [@skillingNestedSampling2004]. # Statement of need -Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. +Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest ([@ferozMultimodalNestedSampling2008],[@ferozMULTINESTEfficientRobust2009]) in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty ([@speagleDYNESTYDynamicNested2020]) created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. -NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezanson_julia] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entrypoints for using our nested samplers in various programming contexts. +NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezansonJuliaFreshApproach2017] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entry points for using our nested samplers in various programming contexts. -NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space, `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian), and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest [@feroz_multinest]. In the future, we plan to implement the ball and cube distributions derived by [@buchner]. +NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space ([@skillingNestedSampling2004]), `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian) [@mukherjeeNestedSamplingAlgorithm2006], and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest ([@ferozMultimodalNestedSampling2008],[@ferozMULTINESTEfficientRobust2009]). In the future, we plan to implement the ball and cube distributions derived by [@buchnerStatisticalTestNested2014] and [@buchnerCollaborativeNestedSampling2017]. -NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint. `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample. `RSlice` and `Slice` use slice sampling in random or principal directions, respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@referenceme], which requires gradients and Jacobians. +NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint ([@skillingNestedSampling2004]). `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample ([@skillingNestedSamplingGeneral2006a]). `RSlice` and `Slice` use slice sampling in random ([@handleyPolychordNestedSampling2015],[@handleyPOLYCHORDNextgenerationNested2015]) or principal directions ([@nealSliceSampling2003]), respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@speagleDYNESTYDynamicNested2020], which requires gradients and Jacobians. -NestedSamplers.jl currently uses a static nested sampler (integrator), where the number of live points is fixed throughout the sampling. Dynamic nested samplers (e.g., dynesty, ultranest) allow tuning the integrator to avoid (or prefer) regions of high likelihood, which can be preferred in cases where posterior samples are more relevant than the Bayesian evidence estimate. In the future, we plan to implement a dynamic nested sampler which can make use of the existing bounding distributions and proposal algorithms. +NestedSamplers.jl currently uses a static nested sampler (integrator), where the number of live points is fixed throughout the sampling. Dynamic nested samplers allow tuning the integrator to avoid (or prefer) regions of high likelihood, which can be preferred in cases where posterior samples are more relevant than the Bayesian evidence estimate ([@speagleDYNESTYDynamicNested2020]). In the future, we plan to implement a dynamic nested sampler which can make use of the existing bounding distributions and proposal algorithms. # Comparisons to existing software -NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. dynesty currently has more features, including a dynamic nested sampler, Hamiltonian slice sampling, and ball and cube distributions. The recent ultranest code has a subset of the features of dynesty. MultiNest can be reproduced by using our `MultiEllipsoid` bounding distribution, and the exact algorithm can be reproduced with an appropriate `Rejection` proposal algorithm. `Polychord` can be reproduced by using the `RSlice` algorithm, with typically an `Ellipsoid` bounding distribution. `DNest4` is ______ +NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. dynesty currently has more features, including a dynamic nested sampler, Hamiltonian slice sampling, and ball and cube distributions. The recent ultranest code ([@buchnerNestedSamplingMethods2021]) has a subset of the features of dynesty. MultiNest can be reproduced by using our `MultiEllipsoid` bounding distribution, and the exact algorithm can be reproduced with an appropriate `Rejection` proposal algorithm. The Polychord algorithm can be reproduced by using the `RSlice` algorithm, with typically an `Ellipsoid` bounding distribution. # References \ No newline at end of file From 0879e2b36bfd51b4325c2b0f136e712c77511b37 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Sat, 8 Jan 2022 13:23:19 -0600 Subject: [PATCH 05/10] fix citations --- paper/paper.md | 26 ++++++++++++++++++-------- paper/paper.pdf | Bin 0 -> 131249 bytes 2 files changed, 18 insertions(+), 8 deletions(-) create mode 100644 paper/paper.pdf diff --git a/paper/paper.md b/paper/paper.md index 6fdd2494..8268c973 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -9,10 +9,20 @@ authors: - name: Miles Lucas orcid: 0000-0001-6341-310X affiliation: 1 + - name: Michael Bottom + orcid: 0000-0003-1341-5531 + affiliation: 2 + - name: Hong Ge + orcid: 0000-0001-9421-2677 + affiliation: 3 affiliations: - - name: Institute for Astronomy, University of Hawai'i + - name: Institute for Astronomy, University of Hawaii, Honolulu, HI, USA index: 1 -date: 12/26/2021 + - name: Institute for Astronomy, University of Hawaii, Hilo, HI, USA + index: 2 + - name: University of Cambridge, Cambridge, UK + index: 3 +date: 1/8/2021 bibliography: paper.bib --- @@ -20,22 +30,22 @@ bibliography: paper.bib Nested sampling is a method for estimating the Bayesian evidence [@skillingNestedSampling2004]. The core of the algorithm is rooted in integrating iso-likelihood "shells" in the prior space. This simultaneously produces the Bayesian evidence and weighted posterior samples. In contrast, Markov Chain Monte Carlo (MCMC) only generates samples proportional to the posterior. Nested sampling also has a variety of appealing statistical properties, which include: well-defined stopping criteria, independently generated samples, flexibility to model complex, multi-modal distributions, and direct measurements of the statistical and sampling uncertainties from a single run. -The basic algorithm can be described by the quadrature estimate of dynamically evolving points in the prior space. The Bayesian evidence is an integral, and the nested sampling algorithm estimates it with a sum of discrete measurements, represented by an array of points. The nested sampling algorithm successfully removes the point with the lowest likelihood and replaces it with a point of equal or higher likelihood. At each iteration, the full set of "live" points describes a volume, which has shrunk by the removal of the iso-likelihood shell around it. The volumes of these shells are used in the quadrature estimate of the Bayesian evidence described in [@skillingNestedSampling2004]. +The basic algorithm can be described by the quadrature estimate of dynamically evolving points in the prior space. The Bayesian evidence is an integral, and the nested sampling algorithm estimates it with a sum of discrete measurements, represented by an array of points. The nested sampling algorithm successfully removes the point with the lowest likelihood and replaces it with a point of equal or higher likelihood. At each iteration, the full set of "live" points describes a volume, which has shrunk by the removal of the iso-likelihood shell around it. The volumes of these shells are used in the quadrature estimate of the Bayesian evidence described in @skillingNestedSampling2004. # Statement of need -Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest ([@ferozMultimodalNestedSampling2008],[@ferozMULTINESTEfficientRobust2009]) in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty ([@speagleDYNESTYDynamicNested2020]) created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. +Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009] in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty [@speagleDYNESTYDynamicNested2020] created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezansonJuliaFreshApproach2017] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entry points for using our nested samplers in various programming contexts. -NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space ([@skillingNestedSampling2004]), `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian) [@mukherjeeNestedSamplingAlgorithm2006], and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest ([@ferozMultimodalNestedSampling2008],[@ferozMULTINESTEfficientRobust2009]). In the future, we plan to implement the ball and cube distributions derived by [@buchnerStatisticalTestNested2014] and [@buchnerCollaborativeNestedSampling2017]. +NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space [@skillingNestedSampling2004], `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian) [@mukherjeeNestedSamplingAlgorithm2006], and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009]. In the future, we plan to implement the ball and cube distributions derived in @buchnerStatisticalTestNested2014; @buchnerCollaborativeNestedSampling2017. -NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint ([@skillingNestedSampling2004]). `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample ([@skillingNestedSamplingGeneral2006a]). `RSlice` and `Slice` use slice sampling in random ([@handleyPolychordNestedSampling2015],[@handleyPOLYCHORDNextgenerationNested2015]) or principal directions ([@nealSliceSampling2003]), respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@speagleDYNESTYDynamicNested2020], which requires gradients and Jacobians. +NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint [@skillingNestedSampling2004]. `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample [@skillingNestedSamplingGeneral2006a]. `RSlice` and `Slice` use slice sampling in random [@handleyPolychordNestedSampling2015; @handleyPOLYCHORDNextgenerationNested2015] or principal directions [@nealSliceSampling2003], respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@speagleDYNESTYDynamicNested2020], which requires gradients and Jacobians. -NestedSamplers.jl currently uses a static nested sampler (integrator), where the number of live points is fixed throughout the sampling. Dynamic nested samplers allow tuning the integrator to avoid (or prefer) regions of high likelihood, which can be preferred in cases where posterior samples are more relevant than the Bayesian evidence estimate ([@speagleDYNESTYDynamicNested2020]). In the future, we plan to implement a dynamic nested sampler which can make use of the existing bounding distributions and proposal algorithms. +NestedSamplers.jl currently uses a static nested sampler (integrator), where the number of live points is fixed throughout the sampling. Dynamic nested samplers allow tuning the integrator to avoid (or prefer) regions of high likelihood, which can be preferred in cases where posterior samples are more relevant than the Bayesian evidence estimate [@speagleDYNESTYDynamicNested2020]. In the future, we plan to implement a dynamic nested sampler which can make use of the existing bounding distributions and proposal algorithms. # Comparisons to existing software -NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. dynesty currently has more features, including a dynamic nested sampler, Hamiltonian slice sampling, and ball and cube distributions. The recent ultranest code ([@buchnerNestedSamplingMethods2021]) has a subset of the features of dynesty. MultiNest can be reproduced by using our `MultiEllipsoid` bounding distribution, and the exact algorithm can be reproduced with an appropriate `Rejection` proposal algorithm. The Polychord algorithm can be reproduced by using the `RSlice` algorithm, with typically an `Ellipsoid` bounding distribution. +NestedSamplers.jl has many features similar to dynesty, and the predecessor code nestle. dynesty currently has more features, including a dynamic nested sampler, Hamiltonian slice sampling, and ball and cube distributions. The recent ultranest code [@buchnerNestedSamplingMethods2021] has a subset of the features of dynesty. MultiNest can be reproduced by using our `MultiEllipsoid` bounding distribution, and the exact algorithm can be reproduced with an appropriate `Rejection` proposal algorithm. The Polychord algorithm can be reproduced by using the `RSlice` algorithm, with typically an `Ellipsoid` bounding distribution. # References \ No newline at end of file diff --git a/paper/paper.pdf b/paper/paper.pdf new file mode 100644 index 0000000000000000000000000000000000000000..c7555c77e00100af7e9c9fec6ccc6e83b4942239 GIT binary patch literal 131249 zcmb5W1ymeO*De|)kl+juG%!QE|u!CeBu-Q6uXgIfsh!QDN<-Q6{4aQDOee*gKu z_kQ<3_pUQ*^{lR4`>DOFx~jUnx}Hs;02ZfbW?)C6*gieFMPdgs0c{N|kofo*Rov~2 z88ze$EQ}4E7?qt3oc>BnTI-t{Gpd^#Ihg@D*qIn1#^$DGPCynmZbngCD_aL;JAFfA zMzFDqxuLOygT6bXh`E!ag0X|Bt+k!4jj@dr64z_4p{b<);5lRTT*Z^HZnJKvULEm2naBWn_D>IN!+!-RpBtCPz}X>ptjJjuzAmu-=i)E?yd*!tM0BDHw&Yy zp18bM6lJTpO?SCjq2_gM*)hz=St0aC_CMIj6k1jiHoVKe0K<)ua zIfuCTv~3U-_rN|K73$AtSDm32VYx{P`UZO+@9dQM2iG;FAY+1VtEU9X=Oi}D`-(Is zg*lR^2fODoAN$i_lw5gb33+*~pC#G(#lh9I4n^%n#ItG%~W z?Cn$!L_Z^u-g{JEEk{nI!6?46vp=5eOA4;@`h49oyu0r%yKQeaZW~i3#%NvIlX_9} zEbaZQTQu!COZnEZKxCBhory{J@$=D{ubXsHL{`jfpLw1ry6R~d&PhCRL8~=ohN!Hi z?N6BA^{b>iTLZEw2?lKLHtgzYXMmnc@;>#2NerJ(HQHCSEiw8g=2qzH!2^seK0lZDAs^I{5e5LeYk ziTGxRZP3tXV*JUj?2X|&jz$g*yB9UQ^7zMJLGf2-R?%nY;&umf;ovpIkJM-A;+)d& zL$q<}|3vwg;5RT9Y|SJdrc}{3vTBex@7oN_LBS&h*B_r+*K1Ym=FQKfunaWIBl*q> zkwRREeDEq{P(qsK7(qUfkmYmBKDxzUUg!3OOqPbau&KV@J4)q&vPtE-rQ$>ZsL^sO zmXFObX7hbFRG0{HmCEm%*tcOP^dA)bPZZqtLqS@HVaOb*fZ>gc+_~bPA3!e7MBB3k z$Ot_Z3^%{03Q;CG=%#<_R!BZ-4>JD2A`FLfi3Dbousk;@J^dz+T^)0+EWi{B>W!e< z7=tWO)h!*0p=}CQaMP*rFK!B=_HQs5FNZL~LJ5#$#NJY-KNqbmZZhdtM&c>S$vw7( z94(X8vZnwkE!#_b2iEkSN9BxU+m$PzKctT`q(20FM#Gtw$Z214lc#`(A~B8yS4EDFn<BtY)zBSdnE!7nb(wS;syjtZSVKY1Iz~ ztaQ-3l(^8v^l!L&l3I}4UwvjMWWGwWZ(}XF!j{8a zB@o(>sd6PkXw9hT0xH5N=MWB88d1Z8?Kd*pL7whKWhXSk`fY}?5+Y}|K=8iapBQWiwo>Wiip#r`( z?=BC%kU^6-2jmPNS8~@5Cq_r&CvTh;g7lFCO;oq6Z~q$rvXxMjq(!$@+=yPXEHT9X zMUQ8JNGIjJA`!IYdhiWkZOK1v^NUN86N0Vmn>gamfi=O8uBiu*G+!x%nA<^2y`S>D z?IimsQRuKVAMHY%*799lW>h3L6G~XVcEhW`K_6S#h3uZ>()Uj=1wDwqdU4{4F%!Gz zD~}L^$Bn1AAMQYr{?ofeSgNI)I%Y(#rq6MZe1boP(i^mjAKq3f5g1smCPP`1!Txqi z)!Zo}di2yC$pNl|_!LOQqN!&tCYc0fqYxPZb4E)S!lU0+lf#fWrE{I~mePr`$GGL=I(t=gWT$l~I2M)4#@AirVmTI^}}G%nfV(|7Dp zN$>Aop=jlrKo0BbJLpLDD4V9Y4NyNH%s-2)E-C!&y>x({S3fSgE~QgflEn z2EW=c^@0caj=SUfFFXQqd(bud3CaM5{vu@~OfAggjr?ZKl<_32OJ2MpDR9Ok-yh^p zLxN8w5E6wa4r#&P!s-i7KrH)wKnIF=qL@{K$LN;}Dq16+^_ur1B|gnBpXi=G6xd;bE1?XyE~ zzO4O(Pxrt@sYnQA*+A=+fAN5_JlqMun4uY=EABlUJYWu+dBOaWkKx7-k?BrH2x3zv zfL_OHvV?#qs7k(Ke^AoC<^o3}aye1!7%AWb`C<#NyJbI+*awHUCGx)+l^5g4?Du_h zg#E^Ix9Ud>5%i}`?103u%xlv~(HY(xg6;AU};TVF{7kURPo_>cXw_JuT3_&`E4wO0zsAodpE(L=u?3 z>GpWsx20ivc|!YRY-zpfy#itLnw754RCZ%Pyij@L`1q`yzYCOkgSzwvNm?xK8w_aje%{mVYBH}om*qk?xD8_I zy1YWIjP6N@!@<4H+Ww)N^!z-c0s!S`S!OG|Y9)!bvBe_j1Y&_4haXwDFIw+OzIF!9 zQs|Nb3QkzFRE`y z<<9U>9xLBH8f5>|?qmfDls_6RyAZ6@w(;hGke{GGfVz+TyOmFRM}1s0!$Wh-p6eh= z&Zl%uKOS=&*bgP_Mj~(n%bIy_ni83CGoDjo=6Q>e!TO8PMUWsTVd?Rit!BS*{g5=-L2p6h-9f7|+;lMmv_CWnT};?rILKf{ zod4iuNYf-GjAy19*v#ISq>BiUSXIm60%V75HRj|zA+H0IY1X=92Mz^G{7Q%xRi4>_ z6HMh)V0Q~tbh9KRhI6&2x`sqPwcXIFfbZ1|f9Qk^ej2GBke{(}dSmj>ibWiprIN(< z7CV;WWk;sUJ%79CA+NHHL%51{Yh_niA+91zZTPYhD*`CdTM{Z$seEt?B7&-jY??8% zkEC2Y=*D)@^`D8d86W>tVUQqmjxkH2w9&aN&JxWlWZ2vtdOn%|!N(0K@(1tL-wNBM zc8&#N{Di-j#}>46pO^_BOV<4ah@UBn?#62Mf(wt9oE%@$`mPJ$o36F9eQ&`jrrY$i zKLpN^3*)|u4V60AdsJdMslRW$$nGxp8$ySu3BGjvFs;)C04y6}_yLP2L?v!cB`xA@&mw8|p|9xAuPg~)2H;ePlfae`__ zzKO1_djvF(OQRRtSywsw)07|mhS!la@_~VI^l(FAydgBXJjK@?Oq((PazVTsI*smU|3Zl{4I!|xY` z5n!`5DJ0k`Ge}Bh<}4P@Slj;dh63NE$`K;ixRr*>_fZguJT`7=j3!E?hwQ#8C~$?t zYmJ{sPV&abNDe!|cn-}-;R94?W7;Ul!750LVH#Ef({;;~*PlW@c-KcgnhBw#{8+Yt z8t^g?76z$lxBvnBYuCWjSxjH)c5%cn6ywrO2gAo!Qe?5zFewTa4l;-9bLE`c?^`*^ z_Zn0rmy*1KAt872p6F^y7|@1ZMMc-^u!FrhhB-cHtNYb+x-o!*`HU?a-*C#eNsJ#9 zjFw9VkO*|Sbu6fX30xJ}+6BJX!gE;-RX}63^^j)=iKFI_0mOcosjY}wQOooe$%@6* z>A7~qDWF~W2#7L+C>NA5p*3PQOcgKMK?-Or>H>+SFk4vU(4*Y&HC(0l&`WGfS~5)0 z`>%>2p{PkqmDZ_72p?z44)+2bZts`gA(1LlGzsFwHf}fWvGAkaVhw@ES>DS7Wn{5s|<;v(!Sd%ua^A91(2MpM>jqLo&BCy!MCWOPPHBOITT zB}Do+0fO6#%uWR*QOYaV#5GF-Fek$&@x5 zzeoYkhH9-Yrut93p@u(fltR0$@kSr=5$%b@qwi$if&}p7#6W1i?^MzRoO<4g<+#y& z%%FBBzrXkZFqK12nH7QotrE$Lfjq}t6hnX}EKle5W@46)0N0#q_v8BvSO{Np zpudon14h@!+PPMIc&K3qmc69g4=%TTI|G!gh$dVk66i1YUL(Ij`ks^^C#vCVGNSp82+K23aI{s7 zGf1vgP8dYV8+OuR%VJVr1G|dS^RS5vj@se!v~pc;u{t8gmmquU_Cg}7vPu9!>9D`# zM=|#$=bpH3ETriC!q!b2!%b*xkGBRrU*h7Zn(he-4v1JEpeJtz9Ky7aQKcFBUZW>j zgd9$L`$Wl*+ix0&^(sWXi(wnjzYB$qF5WUbnQ^a17ye-~Z=~>XNvF)j!xzsHErbCp z@>GG(zoN9k!7iVLA*&pT2!*QSe6MTcen5s=}tj*nKvQ{A>S}dv@qTG{2^)mI?suINJ z5)+SwtThnjuzW-7pp%Zet}NoRvawo_TCTZH;ri?_S4CUkYm5cGe(xkjjydPLY|!~h zQakv?8OXvMRJ~g|aSy0J>oZvZZ>FqFBakH+2ACo!U1cMONF}s<<-RAb8e8%{kRgN; zxcye43y0(hp8wziBxP7h3V1P>}pkO)77M30;}0rH*=?bS#z& z(m#g}_mrnuiuy|w?>208XEwb>p!&`OF#VFpgOROb`q*%Vy2F5@6@UFxzE^pvB8BW& zPA}iE426u@4)8m+-!7UeYep_y4eAc`;gu{(B$}1Q9D{3{pi#Y!Dg16A{yN(VKFLCA zC@mAsLzPd0JXs~t1#V3Rs}AS|L7tF5sikt>pbQW#O3_p1W*TB?hd#$Y z_eS_&gTL>-X_dL?mp`;R8n%-~Gh=T4*R%9DjlA>PmJoTYCpA1ebOK97|WoYs}Q8E4fH#UBCyc}8HZ`{KqAJsg3>n6!<0SL*eS z1-QU`5TQ4sxGA?UBC0l6o6EY@t`WDCGeE`uQ6fH56h|5NCL_K7*!Z z^2pQNLp#BYpPQuxR);H7IKqX}6%^Qlp6J&W@xB~9i2f#Ix8(jpBndOoGWL_l?l<{c z{++b9wC(F`3+Y)Hu-nI9^t7dbtbHF08SV#CzDKH^-D^m}RWYw)o^dLoAcp-2)?#}1 zXPfA)gTl|zI0)B?Y0+* z?mO1V*pB#s^+oQcfC1y?aT?NVU8~~{Urf5Ep&G)rfdDc8$+XF}pAfdY zrGyRPaRi21z$f%tswB&*d#O>IXQS2%-!_K}z?65gEA`^Kcd%zgq)Iq|Xg0 z9&fWwtlV$ZDo8MAZeYZYYmvf?}64|@dJpa^xefCD5g;RXo98e`*OXM6xw~g6=E1Gp2yjUd(UAH%NxVM&yaSPA^umv}3jH<*^+X$4=vVZuEC3 zt=kbn{5@sx(R;`|_Avegg49Pg4_Z$HWlBe%05GGu zt@S5+8k9%DpG><8Z@ekLJ){(v8!$dX2$(Cr=2QW8+iM*^3T+^M%)}zVC?RiwB=lat zmC?a`L)TOGUTOUl12Q%Y@EA^~{46wBJ^*auaSi|a`Z_-F3FG3+d7h&oh9kX`O*uA~ z7mCBCO5rHd+u=v;IK4dImp4it&7n`QSA8}tNZ{88eWm6L`0i&u5xad>taF9@m)KfGn)B{ z0FyRHXjdlkm#@zHfZiJT%?hy;A$2$QEX6m%O2)(f1u_N7S=hy)25W$JzHTkb@q@lB zvwp(h{s@~K`78)@g90Kg|-UvImhiP|HvXV_i&;~Bz zfD3;J;kSQ03u3pCV8nQe1J2#W+Hc2~4M)@5f)BtRu}l_Jw6B8rm{iBAn_U~17eYl? zXh>)ED&Y;{zE56{MLQ zYtXjh>GpP!RWfImaq(@^Nm;*UCClcmOcvL2oX?G-1!7!m$GW?y%C7~JTfQER$(wSN zkAsL@IwZ5BFIjxg;@ethE>+Xtt&ZU}f^eN7c=bztxWhhpL{vM&^R`25NrKAZLIM3q zIHn5jdNS-pL3jej^UkiW8b96d8Pd4^THJwwUYv4AjYVVJ?%X6u4uYJV)$=M!lgzBg z#x^#T*Y67h=Fy8Lu1ga!fjjpF`V4f_R6%Eyq?_(&*Tyj>%;v@4@P>6VCeBU<$E<@M zm0~e*GcuxA4rPbjN2%>gt-Ih6>E4LmbJE zQ!3>ovD;3FtV5OO-A{wVy~vYjV@T8!zQ-vK-UFOeMh)BGGz~~5bGzf@m`J1~r?0&` zJ15T){hB2U&j{had7dmo%c|X}i)DG!9k$RhkKEE7sKJ(edWV8KT)#dX?++TLrW$l;Rayr8HqXmn__d6Vvq|Mb)I+;4&)}`IoD=i$V z>&8*|iJvqP6N$>?!%)D1f^`^KOkcH>ltsmiwY9wswGBVU(F+M{%W8`%_X$<6=evqo zp&U@A8rqapHRlBP=qt-gqq0a87n&EETO1rpx$tRwNlrtvk+ zBos($b5gJqKLD=7(yN{Ns<#h^xi`Ku@K(u0E#Z5qescmj5u1kqu2a*JG(SrdR~23* ztO6Ha&O4xg^Xibz3%FLPw8KJ4wDHm;(H@kR(%-wN1^t%t zSs7ynx;?)ejMJt*$H0I-%jKeAM(h7hBn zA3gKkWWt`t@!-073l>RVXY%*yHN0PYJaH@%hy{}^7Uqk@K{2(AEZY7&(j>_PPN_WIcTOtnE5FMukIdXE=2xD)U$)UTQ%) z>FTG4(&2_6N7^e^9Pv!U!WqA$EN0H4u|YQHJ5ds%>OE3kLow9-ONg=rW!x6(<+$c>$Z3O7WFA3fI9S$8b*jOOa9Q zt)d2{ZafP>`3qC?)B|5^&YHrL70MY(o&}cl`3q`gsb^fd^tK_pO+m2ID_|SZbKo@*^63w|+KpnJ1Igfq#2Qt%pj1?v4A3Yme z3m^T3%qQdnsfH}?A6y6G#S0OmtV)ol12a7}VDRNrEd$`aJ(M8=)z6rM701+K|Z90@#yjJf%7^)on^oc_Ya3-wkKCjdf z6boYdpegsH6soRe!9X5d$gHB0p+mYyY*7Az6MTKvK zFRvAK5pK~P-(<$(CEE)t9uX)j+WIAp$Uq_q*YXAl81acKjC4 z+O9Ync%qWQCC9*Fw($H6(N<5GgbE+bXRaS;whRcLlEroiw3}Qda5PXUUTj0+%zfn- zP+Xdu$08QmPJd_ZZD)UpTN8i`jn1sh;ssPHJ~IeVZlE&DT&A&CAWDu6wbrSo@vCJ1 z$Q=kPQM?=@U2lwNes<(P)5>#XBp&q36InE|@eNN}KOyo+Uy}hM-(&4G#Z^V$UozSU zkqiZ4^}mbLbocr0hADGI8BO>#+RN?uoC@MmYhxNBXo~)cA_Y$D#@sM;6&H!uO~QY! zXllMFKsD63^6^~w%$1Fek1{G|x>MtPPeg+sB&&paINoPQK!aJt^B{Kyk~1jvvHQcU z+{sZYAzMp&EF*pGE_uP=k`F1gJ)g>sRML|eTArDy{_Y31W?C(f2r&g1XCGPZZ_Lkq zVcC+rO6{&R<%S;=kUD7Y^=NL^B(Nx!atbY{pZxst%|9n%-FcZB-!H}h@prI z@P>c%sC?#VRfk@?-0VJo#baK>X?Cj9NJL*n9ot*RJ^rfdYpt9*3kUOw_1cJnI-Igo zOz=TxR zmlg-pAf~=MUkH%novih>4El3cSXh{qU0z%|_|fbG+M$IdzAVaT{h0E?tkUfK{K8&E zoFwNF=Q{RCdRYfA7=;2HtWVsck2E{uSneVHk`{SZygo_%ZPc`Tl76kM+aPTv2WIG} z1lNFn?OOS30}B>IiYHaB4aduBtTP7=N`!}ofO}L~WmJtedSvxWoQ~??h%T&TS4Y)% zxx0tFOBVctEG+UX)hz9`A-6g6)yf&=;2i@bA0gfPe9m)pRu6C)ku$8>y|^6ZzRU^P z!UnAc#-ZT@0{#i_3d+2r^$x|Sn%(DF8T;tqx|h#OS>Xq}n}E(oPgPV@=Ts>HTxr7= zaMw7bq&=?`+zoE{t$yrFGpfX-*-~cNM^bj*;y~?H*$BCONQ4oNh&+J^8%Vj9LcaK9 zU9GM8nlBB97S*TEn2oTzk1}C!frK{Wa!(6}92Z1#6v+VHC6pnnVtoy={eO~E z>D_cYIr=t7ejJ?8xuI>-`#JWf*`Ztyuc!Yh7Nq{NtQ1`(8s=rTKMAEcmbtF2WST!C zgr*^d#ooCKWy3?hyz7&*w3m&c2gxA?3Nl(h39;6OZ!dYNEe&N(RGU2MdnK#z418xj zxCOBEdnrO6?)Lm49UNT<1*`roC%fbptjN{KdTUw zttAKxzgvmNmT9I|*?nClA{%KeQSufD?izElmPOSxrkIOW6_wV~&dx5y{ z)kbJdBmT4MFJ9gPD+@?Pzb)=sNP3_91EmqXr;HC&YPrzLpitpk-%yM5sn%@Y$}Cgn zJ3xb7{O5@v&q7i`8neSgTILd@I|bpX$>}_G)$_#c^4>w`pq%R$Ri%e&fw2+mwy!|u zf)0(gBEG|Oe4QJY6yCB5hG~@qyHD^~fVzUQ<2mT8Qi{)k2i)#W6G~{}!c8?C^YA6|KAHX^Q^&p{_v{3GHvIDtFA=w}@zsv$siy=5)dl=V>i{jyzz4 zH45?(w(NWV0*Orf@@1m2`+nc9lne8^a5q}gqe-?~`EB^oEDr=y1@Pn-3lw6bIc*7L z?d&Qt-fgl2uB`i7ceu;!#JJjcKdV4m4>z9cgS?{r?m`-Au4jdqKmxl8ZHfJ{j9GPb z3kFGU`*7Cr5=v&E$24V91y%P`f+d z!JcQNd?J`rCbXcA;9jOI6o|Wq?k6oDubLqDUX2G62=viy8I@BE15M}B`*evL zxNt1%E`$^AG8jdE9)ZOZD=vu4F1|Zmnz~D%4DZu!Abt23FXsc7= zBhdc0?Xn&yGK6FHET%u7a;Tx~<;Lqhl>wczb;_#oEka`!_+?qCh z9!U;!$DU_TZ<6az3*{D9A|K2=eRi}S7A61%y5^oI$uC?ftxBEF8RTFVNGic9Ik1HW7mY55dW7nat=T? zSogY=>ye;%$X3o4JE)t~uds%j1U82A*p(|?oeQ9Hmmzp)Nb*VLrRqI9bXf@hGp4ZT zI|D$DMD8XJw&yb)Hq>jt9d>uRLD-;<-`2;_^ygw*6z3X6$A@%_)SJ?~Siuj=Rllu7 zvsTh=TEp$1Pw!1qM!!GA_*xF)+K-hzZhZPV?Ovgti=k?8LOa`Mtr3+)vE<;_ zK=@7H2Ji5x29;%(zKBkP#4$P-4VFYB=)>FZ#D0Po>Ii2Q<#abWXcocpkINsRQIck$ z_IlfK$$-qe2kkE-JLqoZEAM`OdEuEBDQ7Ok5Gug!M9J!SPjYbNii`6^XY3X`4+)$- z_7fa2oUZ@`c<-KEhY14^>;@Hi<}LTtJyMN}|XoiU+EqzcB0Z}7o6u(*-$O=R^j3HF4OBjg4q z8KK^0m-|g2B<|`Vfv4&Ef_0VjfONn(WcYaQO?v7`df8YfUK2X{vi9wv&xfI%WZKf_ zuk#-#S*X!A<-K<>k@gNOZ3PKU7)L!-LtZ}LUwEUh?y85q}l zyZ1rBgQ8=MJ6GCY_oDlyDTttN`;b#E>1%gpt732MB}hk1XuL!kCt#o#tX+&}BfFH& z6?JyhTc28JJ0R2Y{_J|a-^MAU-=1*7vR>n z9o_*_>y0^_2*d5PHr|Acnik~o`_|Xap^tv)dPfNDGoWjh6B~AYlw|c;9(_9*e?giC zjs3ud`Hba!6+a`=y)AHJ74q82Kld~3jcH7G&e~_k4MD$&C%QORllEX}bQdk)Pi|Mi z1bdZodZ6#(&8cZRynMkkHBgDP|N64rr2M-UFJtI+yPIR|Eh&8Rrdp zc46fTy9hmtfzy;&(SO$A$JA^qR`Z zd=2O+;K}YrX}}}c9l!+5Uh2KyMdHPLd&rqMoRw-dnjUl2wXtxPO8y1pQ9b=O5)V&! zY-PM8`v70({zo1^ZtVWAV{ShBw ze#!m(ahe5Pt!i21vxR64orlP=Q~38)0S81aOM?)Q5T#@0lHKEyG;0&2l{Hb`b?1G9 zNztca4xXQZX&D_`9hb-&3kxg zDE|aMk`FUNkI;C|)+yM`4`u0PeFG zEI0=$d)zgAJ_L3@kgxk)34v~aji#(=2V4-oMGn6NDJemQ?WS!EbjBCEd)?Q)mcKUZ z#Q91K`CV=OVEs2_3!nQz%_yr8@6$TPHWf5bpEhjWI2wKrNtHJ{Q`j~z+TruL9O_4? zqJg^uXY4**dOQqA#o+PyD}Th_Og!r-JF*T@*6M8{H}o-t{d9l+8}XplRILP~kLwi9 z>L(W*IoT50#3!^4mooX;9wN{x^4Gw5tXMXNA$0py$0XM6pO#+SqmS#vZpVY$m3Oll zhAsq`30E$2nx=KMc6{9dz$&d2G}C)gVp3z?Myy~G8f`Abiszo=0tt;lcjEVrf~>3M$=@8GO_$3&c3YKs2_A3-cd!44pG|R zgGT_7jk_DK@j$0K*Zn-~5Qq~J2TtRDT4TMmJtf{Y(5_Vqe@p+GGKB+45zaS_fPl)E z`-p=Nu@=Mwn8)|sPs2N0`VTi|))Y#rz|QYW>cFPrS|Bn_xru00yMoVF`ri5IRv2(l zaT>dW^eR{2BKc2_Ix_F1kHFY#Jv`UyU|^3C-DupKP%vm?1J!M@U_{$As2ROf<(&{& zb(ByI!?|A1W!Q&cuqH}rly9|&7@t9fc4k0Pr$9YFa6=IEzS)?6l>-@H`T%Mc(w5XA9K*zRp zIKLOY65*kjrq%(TryL>hWX!YQOzBOd@1Q-uAbeFZEwVSfz8tQk5TcmE!6{%FK!pnf zGXhMF5$sk&XkiJ!a{*y-ZR{ZOst4)mv^}Ds6y&5;MUmLsC$w_f&IX;ig_oh| zZp<5f{zb}oLo^}9FlAN_P^ZTo_x!q&fpS)iQCDi)yd#-aPw&_65WDZXsk1zAg%ouo zRFQ>bN9Mn68mBada^#BfZRObH19rR5gvnz21+JflNZDpPtmNI^|m+u-?6P>nLIwB#%Z zm?`Gxr(%Lh4~w3VZhSKm=}0HX3!jqp4|TMgN}2!5qo07^Z+7l zEt4_xK}Irz_Fi$#Gu)*wA-#LE&zl)~bA>WT0nwTLB!+@OR`;Cx;+a zhQ3bS-QZu&Jbbpy-eja^GplM?#P0wLL%as1ITVW*r1lGnmt>*C-S!zHWrN#fmK<$XPVR=%&u)#}o+2Igf2tqxY%2BT^dRGK^+q&4%YvgzkNus;z;~9aa zlgw^w_eq%ruMk;|(;V975s3UkHn`0UF;hXqg7Hv&7{M`-zuL0imcnbIIO`)oblv%e z#X?o}-GxEhG#ic@e$Vc;0=X=7i^=aD!wGhxicLFTHLVo@D+cfG$ zO?ETAo4aR_LqRs@#+|@SGJEX@$ghQz3$WdaQZI3`^d8MEJ~I^t zzwO{Sula;uC4tnsmduxq6`)vCr3eC;qVS}4BMg33P`*AGW**W`o`DtS@7kDQS%J<- zv+5=LbANQfm#xN)0FObE)%9Tc1_L&;^)f+psF=~4r zcK8Nbt89gnckON>i_05DJSZpo^^%VDc-3(+^lg7T3oLv6rMAO`BC&Gc;;OxV1T|># z7~NJ*euSZvwUQ{P(GHAmMjkVAGxt5$ zQuV$?wcOtcE9T?MoN(-KBykrw=f?>j8jGT~L!Er@PgWe&H*=fCtSMvqj-M{h@4`At zV!KnZY=nI_*jMZvM-Ng9J*a>CX8I0Ucn0SDc=N z5Qu|Cfd*(2|Mo#kWicA(;ZD7qLIDvHczKLs;R)Tsm~dIUs}kg^xr*NKqy&o}VL(H_ z22pmi_fkYKu3H!5TAAgqY&P5?36Zh=A*Lmx|Kq~DMb<2({eo_G^16q4ADZH&-%tge zyJJ}WxVB6TwSpnY-g&kfz_LFBuaZaRwU^0p#2h#pk+-)d2~V*D{JS%%yqZjS9m4v8 z!DchWm+|!cy$`-PnVj(I)9F44Z&#|%{$wA0Gz6gmB6IHRYc_?B^&y3$B7_MoMVnQ3 zg$D9{-p3eFh3~9gcZ`3Q$3MM;z7<_C%k=sX`Kdc_l@x$!|50og7dXPmA9yhMI3Z~z zmjTokhp=RVT1(F=wu_HR*I)ez0 zUrX2f<6&^ZxeU2e7S-x9q!2KhTtZ;jo*eJGY~U#VJ&_p6&W^3J&JSOOXDPn#LWx$* zhq&d@7q@L?3@R0g4l7*VqglK1Myz;>k_+PjjlX0ZtkQ)sFB+fRhpx5Tt*ET)5{E4m0wC45yLwdB45RswM!6@7N?CEUUxC zu2~{xQRYV;jxY2bM%%3Cm8R9?UX@FR$8)_z@`q*cVHDw=A&D*xeRvtA+d^QivtXr- zdGt_mVYqL<+e>bEtoUd}8dv|ktEOky_BQq{_FK0$l~hw61g?mda(nHQQWa)VZ!=1Qul;p%^K<-5yAMz0j*7WIjT)+FFKBag!XCHx{^>3Yy|J&L=%UwK ziBOEeagAflX!{M%h-?ThEO8@@x*xFlL1N`x2;uP#%5{EWdV7s4F+yJ~ZK7fR%R9~~ zW^3+g3WUJ#$iO#XrgPkxM`EcBNXKnTAtiHnp9pb{4)|<`e*2C6D|d~8yFs0)T$QlS zKs7pJMW9O-UzhaT$d0L&y-#%!7au>1C6x(Ic%~3c(uNCuXjsuzWa4C3D1E-vB~)it zMOH35N4LEjOQpMEn>J8U!%eWKlqdLTQ|4?S>Mh3HNd{+#8nn}UPFAb0vM{|q6;eND z*xzY2(emYaS070*O5eaH@5>zx@(8bg_koTv|5f(njddw#Wd!A0vD7&dUhAr%D<-O9 z&(f+yO^YJckKjpvt7j9o`;=ne(dX!&wHETCkvql3{$nUQy0yQ*6n&SZTHJlSsoO&y z-`)HIqlMeNf_k;*OmWBkD7&ZWq{=Wb7(A}My2Ejq(VK#5eB$n%^DD2eb~7kgU@6zg zAPb3o`dcE~dm{NL5=B??-v^tmunRJ(q+NmaRzt6!0YHP2QDAPsZ;(Vz+IBa^Hny?j z3Ho_POuW+oo=cj!0OJ@8B^9?f>ZR`q=$;SB*v9C;7`Crxe=&wR{)0IzYwVA#j~%=3Ewmza?Z__vCa zB|n*ltO8Kf*1;Ia&cMdNL?(a)1OoXSj7)fxz~cV}e@*d|nK?Px@h~#Fy1FvBvNG5@ zm@+bRb8|B?u`sf*(7$TXJG$FA>ATU}IFkRXkpEo{*x1p~!Q9Tt+|~y8SGoEIw$4uc zWMqFC`tRSr{B$xm`L`t-M~1(hW-zq1X8bFMk(q&s@qdCDyP5wVV1MQOA7Ms@|6MCP zX9ugl>ttleXl!L{{mQF$e8n;UkLF(6_P>Gu4=3I9?fzx#??(Jr-T40UoJYyn@s)Y~ zR}-k(m^%ru@cmt({}lhbMgE2Qi{tHJ?CAIk6JY-@$UkNOsju;GGXktkO#g-Wr}RG& z@($*&Rn`B?F#+cP(*LLIKlMNVj~4zZ{RiT&#^+HmcQdxq0Gq!y>EHEu<+$@P{*O8T ziTpSH{V&)4hWtbHpW1)h`TTD?uLSyk+WAM$KafU-JdVzP^YQ<2#a^%5-~C@i-<0tm zVm`+IQJe3zH}J^X8kw88gI}rh0xV3-ob=30^ek*DOdLGSOgtQ1e2o90^A8XH$`O6# z)xXm4Rcvjo1pcmu^bbNkZf`s(`wgxs$Pit+|bp76Ugs z6B`GR8TdLLxwx4)v>7Gzt*!O7SQuE4UJu~wq0K0(@8n?arp3U<%)-hIWME-t;a~$Y zFfntpvH}@c**V#{fDD|kp#?aB49u_b1zuH{xtQ2qg-o0*f2Ce+u(N6l2xv1Z%j!E? z{vAg_iSd8Wfxy2eN2UMkhzkE18sYyUb^`1FA$9^Y`~PR~1P%@+?$_`N{|=t;r_Hp| zXwI3z#oMe%Jr?kb=(=c?=Hqe{8y z;kQd2NtbV6Wv{D@&-v5{7(f6s910Wn3K8$_6jkQ6tH&5y1*JX{%oMBRhkOEW`OMX} zF|!B=tUF;4Ib>hEHZ8He}dn~obW zqNJj_IbKN}`hDtSW@hH&<6~v@DP0aR@?u`9fvTY$&@a03^J#9W={W}J?;myluax)#}OE)S3D&BTM#kq_1BB@8}; zBHHZvhHr6sExz>6dDm7vol@D5cOjfGC&mqI9~@YWkD{yTcwfz6QORi}2CWMBWm}F5 zZ}TVb>`5gW4}9|pF#zdpZkag9zo0f{I&rpBgl*3Ke7>^v+9HJELj?5me^4-@HlzMB ztTS9oNHEkGDsTMRrcM)=Q3r+KXai?nKUg0FbqR5O#cJQ?n;v=rl$gr*xLqXSIrC{D z6SbYg*X?(S?$g0d`wf39Ok+;Ri85n6+7UTtQ>d;VWrycpn0PMcFGnCJ9?$FZ#=%?J zvnm!&PFyJX9W9*4gp-krHhFV-hzKdQ+VZ#+N6E~=^|i~m2YOIMRMdxXu}<%kvZ!{# zN6HE#aL4}w@IVj0TnM`9?yWB3CepXM9&8u)ksI_HS0qV-dU>!-6zn|@iuBjq0=Wfg zK5*bbDwPrhflO)GG~{)+0F?pQxCfe)tY-qw$)0r3h65|;DVSX7H7Lietu3%9wV2~pxgPhNfX)u8)sQ^=wh1Pur_g8p?Jhs@;%-o>OEWM2%mLiLF051fWp z3E1;v&7J`vgSNCXP%<+!6N|;5!TWRyVp-Py{reXd7IyD4qA_v(wbx!F3uU_r5X|9P ztp@EMwCCWUGISsMtFIp)x|xetwkLRyYPA~l>Ggt{3!+Srn0g3Zx5#2RaZMnw9l&z{ z&w*T#;o;$tkrCqEvs<%+AAkPypU3Mp_v6lU=gyrxd6IaI^#wY#Uay}$dp2m&2QIL* z2tTGC30K?x0ytT@2{x)AFrAl{mS816q^NugYYaLE8fkHH@xK0CaPE0fdL7!zG|iwX zt{0FJ%mi7MubJMM_WSnj19I=?(|zQQMxz@W8^kGh_jR;0rWQatXxIm3X>~ds5RpEY zdc+n3Fyx5yFoqchtz}t{VJ}OPgjeD~@aXk2o(RuXtJPqNp`)j#r|;9MNdV6QJP*1| zOiaY%@#~MVLIphi^wT$6Xd?U5+uPg3(W5VzPQ>Lqh+gt3ODGgVuQi*^hj9`6j&Yi7 zQD?K+2kvL|=?HP1dn9eI8{#xN8n!-q8Cqrc7TZ0Mz#S=&ffndB@ZjsOL-Ebe&jX=v zrs$y{VAT@ev1?`&I87##3EK8k6Gc&A6=|A=UVE%!gAkC0*}b!~Ll(UsZD0mUVczXN zi~KlrF;ohknwVl}gm5?E+PoVL-wY7B(fktWg2!H`57qsww zl}IE4WlcQ49`mLkj^7xu7<=(}ywmACdW`uo@8!PZH(8>)`}Ko>JqI$l0{RR6e$6N+ zj@f(n?j`$M^vwmpfD(Z2*DpF@@+1<8R7wdN`98^4zxq{Z?RL8zXzktVn?%d0R4N#O zFfkwYC&DA(K?q|G`u7?>P4+eR@82J==YTywIuZ)yV$%nCUd$#VyS=hWh#zP-T%4Vq z4Tr-YtM@TOc6N3ejRx-A&7p~pnCUQdd?pl2b?Swn+3%q!igM=6na668^A5-~+6UN% z!Tc~{+pDj>y0x{1$@nVe~-?3N>iYQ>u0egNp zB$1nqPaR3ky(nkqYKfZ-V#-EriKx;`7XwMNxpBBSuA(~?ZB|N+*oSh42rbI#H8^vHX;}c0g zOk2bJi2tw-{>)ThwJhG9U@LzM;WIbhHCMWWFt#u>0J6bb?G?kpcv zBsawhAvrcGgj1Xx#mKcgH90mSMly1Iloi$H&;Om|*1RsQ>$)UKpvxf5yF-SNg+UPL zo53?M7-B22N}QEYvTK{v%y0AQJ++nNo@2V8(Vho7<2jbyshh2$ z=W14Y{mvYDQmItAT&8;Ag~_>^L?ZF129^T41l!DaNl6F%kTi5uyWI|e`EK+)I7Y2j z3*b3`=X)dZc$`E+?yu4iV~`|k1L{C2lL)%EF}>5_>8E%#Rix(BMo;RBLowGl=ofd=D zf~o?Ni9JEg0&+x>gx$Ao8)gUU|7eWf(b3U-J|8S--=zk?Nd81CpP#<@MfS^s&bnhE zZgijE{-DVMxuF0NF__44`|Hzn^w%&!2l1X@Gp6p%VtvGi_p8Hu#8665lfXGaQGv>8 zYATeS<)nyKT2@k%&7Jd(fpR=&?KO!PyH||>!q=~_0E~v!)m1398)7p^YO~qA;kjo# z5z533{$eaeOSGvi{z#g9MUD?MoDk0KQPb0At5jP(QCt0hrWwyRSUD;S%IMLE+1S>$ zPv4MC1CL4Jp-`wFv63vLU(b_3++mQBMf=;grUy{a!aF-Vf!4lD!8jRYY{qyFPRHH7 z1@=jUbqDYq$PEObE6Xz3O5B|?sQ-q55HN=91cMF&p#d{}SRw!x&5TKjX(GiNK zT(hIsw=qsr^Do6l4*^91@|ISm8E{uAK6Y5EZk6Bt-$RVurFa6R_=%gHAVl@R-7A#} zYJ1HMsN~w(8tQhlRM4nAzDT$%!;99&n`UH!8s2L(@>aXzSUN9-V`GN|C9Y;>wDL-8 z=Yp*_<-{2NRMIo9sXInJf9|JOR|O*dHi^Yz#B&XeU|bbySMp%$YGh^znhOTa!@J^* z`lF)*t^MgM?oXLF2iSa10RI@XpnlPJ1 zUXA&sQMA)o7xhi*>R~E?uA^>pK*~MMe+eXVmPxUS8JLkE5_i zBubj4Z^WP)N>A_<Ty$ZnT*L*smMmRF*d zR&z})Hg-5Nv=<-_JwRSGKp56HH{|a$z_bSSg=wP=1 z04RZvxsFPH{p()`DBdiKHUUKv->3Iutf+6<E;I zx|D}2cnYw5F`VvtUC?X2v5hOd9FvpN6vK1+R!9cMa}@1^{WVMof8w`b^pHmDXSc;0 z*bt3IgG8tx3-S-qPMjeYJnrzy;>jv&-tW=PH?blP&#iA4pxOip>Q}% z&aEaA39#WlFz+U;hG7t>-c^6fbM21JRIIQQ+bgH%06tyERFdOLVic&xN-8JFCT1m#8c7nC(P0XZ~Z5@cny`mb-Vr1AN^4>nPmU90PR**R+g5Q z@GLj`BAyZWz02i|?z(pR=|4op%vQNm-Du@6G7Q(LtT{%@v2<2Yq)3jY=;-Ld^!#VU zP|7iyu5IEC8=Y+EuI(|5)8SZ({#PyIp8-R|;)nVMP5-DX>e*_w$npc~^RPIJU6XY? zkh`4wh&!^FHoG}cz=smtMY0zI6y~c z|Ay5zXol;X?cnj(=c?)pG}`$1_}9MnwHxl+VKTh^_S@H|g5FJ80F8Yk1BhvB6>0Ki z7z&>2Xr(3B(n0q*L6xF8DUxLcmFjw0c~wn~<7Qk84=sq1w4*oePK}~DY3K=qjahn! zaW#%*a1V(;ik~39+}GCuACZ0fezNz$55-J2K7uvvdpP$$kvH$BBN&PUSgVIu?kqN3 zu(%z_6#)k&*or(%K8U|8~Jc%Ix+POCr3Qb?%D=u zHN%PF+`MD9tE=yK%Im{Vekn4#UkoK#UTPN?mDD7!#PX-VZxzof9N*oAzGRvGW&)5{ zSXj8(@-;pp`@S~>ZxYn=U!{V^bJ1Su^!FUc7L;gYXhGQXvY;mP+E%B$hF2k!qPi}x zMEosdqh)C|05h1foEWvV3QBBkon-`xQ6~&D!FSfftPULqDs6o5f_u7m+vk6x`WN2fISE7`HBFN`|vmval=nlRXuz5?DgrYb}u*Sx=z^b z6-7x?j>lx5{R26Y(aI}weAG94m1rn44VDbvymRWGt#-w8EXUG3*XE=UtPngA)upow zpH))ho~2vuGR+FElxe|mX;l&tRS<<+C^~W!lI$0dMQ`HiJ(z;J1!t)4?Zn4G9jIM= z*u()g-*XG>&UAago&)hEkw_3A1m;0sfcD*tI{Se+4ZU0UI#uw%4<(PAhSn|~Snu-kRSaJszsZgS>XnxRn?C-^y=-R2g@ z{6Zy=?bw^0j3V`n$Kz8|Q@41i{rmSHJ9g|ANp@vf-o5=y(=4qQJyWwRe}x(3z6-u= z>FvTI_%SGTcHifu*l;U<0re9?afTCp#H!~(sc|QsD|_JcW~LQNlY=+1XkK0FVF=}y!Tvjldc~S866$n+1UxO`QBP!P(gQQa|a0} z1GzGWi0=|$4>bB_^Ar5ivh0GPwqr-w=$Nfl?M^*9b||y|m!;?sXe9_V@R*asN@`M$ z=30eIwe^pp!~5eCM;MlKU90Ola(qON4_B9u`R-$`&9EXab~cW&>@SQ(P&AU={bm&g z;n=rtUnms1#X~*)^wYOMJ3J%V68?qb8_iHgxl_34m>p1O+h{h{KWc28#3z3JIYCKI zsEP6H-p@vIdu_d`*S5NjjpvoZ8Q0S6POVd3)$7}w6sEcq3>4RBxawGeny9v2n!4#S zyVMh658dLCA2>D#o00cp-VIcJNc6X$U+(#u)17@WSlk|zS^8iXx5>&j5CVoC-dvAr zB>rWs*(tdxR~dE9w%ORB8CFnZ{_3vhf-%!9&+wvN-4H`bz?ELxj88ntiK^Kuu!6!X zv94`eothNQ@lu4Q=vMKPYiNR!Xl|d?&wZC=x+KahiRFnp+`>=*jr-l-{oTpQ$y+>B zI2?ZW-FF*}#trwU$-%8+u?U*p*OI=U8yohQaP5wx`?wp*&I)S6!vhyChcYvu`!vJg ziV`0Mvo4gwwG^XG3^2p+0ht&(IF{T*(GW}4+qn~N&3Au*H^BPrM%{^6*~I>@t+(~fD> zceL_qr?TN%y4fn@8P)U@t^>KLE+{e{RJ4o+9@7sY?l0UsVkGT~$x^AnxgA*&cE`HM z=P)41$*WGMGngl=?ncD~a*I|SoRw{u!a)GI`=Qv$j1J&Afag1(nSSmj*ClbbAz*JL z+IA1IsE%Q8w>U34FUN9>uc=+%vAGv!#A;VSiy2M;D%pAiJh+{|WVVXKN4^9+>w1pw z32vLA%yc_{*|T+;<-o98+ZRBifq!y*SWVBg7Jup$PogyHYU+q=Hj4@XrBqeDzQVxo z{rmTS=}TYw*hd4*zwyQ!*ZY^D!SRe>$&pBeL>VIxPBS#@iPX{G&+PlGzgS(}Fq;Lx z!aEl@UgkJ~_$)CQWu32FG0}Sk}HzQ=T|s4M=^09Fg}!Fqi-0FaF~7 z*I&Q0uLpb2f%u3B{R@yLu2>M_Gv!a$u3Oc-9XrD&7u3W^bL*^8&kIW2(kft(dUf4s z>{J%tHk*0h14530F=rM&YiZSuW8cy1+dU?!+FAv4F+8-lRa`8b{jt+&gmd%B*%twO ziRowC#g)$L+YEn&tV3ae!IP*Rs0l3k-TQOoeY4q|nVGqrM;jd-#aD=5^fe!$5JgeQ zDKb1SQIsGL0`1avi)MvTZcl3dGfHwIfAXJ87vD5HH6=3@9$EI)QAHEwF0Mptz&x;}0B28huU`2txEaRI6B&HZ? z_E;>2`AiIy0T~;wzWQpQweOSs>7V}T;8Dp($ei<*xK3})$=0*NhMLQsjJB-i8mavPDt7-a!9({_3BG+`B3dS&8;(F z&#*bN2R`pPmQmlKdl+86{5H*UC;%)O47+&l$F)^IT{H+Zug0k^rKBd6^rUUH@Vsaf zL5ami4|%Tbni?laPH4JBk5%d|+cL?+_M1JCNT3l0hpoQz&O3qPz8?bX^KKOPJrq=9 zpe({iX@TSx=R$9bdmFD$!4Cg+ZEp#N{(=%5=u?^ z4$eNv(E#93c1B71A+&k~+|uh?UDx5{h@VVC4B-YKnO; z`@b&~3Sgy}C!nfmVLT>@ZcVn^`#*%AfGL1Cx?wVo#%2y^l{J8CeEhIhTE-g~B6uRa zudjW8SDL~T7*?xfG)4%!UR|eXuxkYd2P~LQW!=`BVmQUXPEljL97a3X zdRm?NDM_8p+d6ee+;DqIR^UXH{3+z5o=eyjz2-tHV zzU@W60M}Wod zUP>j)?2SgFQmK#)X>e=eaSef5x%ETgTj$Q5BWJilQt|b0I1G>`-rBp5Fp<+u0DB;` zD9Nl^paQ$N}S~++-Y^{ zevEFT?O8ey8f9z6%Xn~3j`}zq$%2csoY+|Zh+#!Nw5Qs%z|;FR8K{i+Fk%8yb)OXX zfH>#B`s%AecMK+V4%lY*I$0wmgtadrtbHFz0TdbhkojNea z-*6RFUW)huN`TPyEf7tuxYYGSdH9hsJ;!Y3FLF`{IOJFzU>oRWeB!Wcb>#S1@7R@I zUq2y6QpHo>x0nBgRnWyjRSa0cz<*#;VmmqPx+gW+#EbAFJujP7!ttxJpr z&P}ROuh$2`a~s_;_yNElUd25iM%c#2MnIkKQ!n5B3<}^mfM@^L0b0I~bhoRUc007t zBN!Qka%2uoFpK=bR0KnkQf*N!5h8W2?W}D@u_~a4KHhsruj+bLYV3z(e zZ)F`t;|B0Zy}qd?C-HeGGsAGA-KlQ8_m7OAv@ZQnv`XNX;HJbe>iX*S!dAzwuQQnL zQh{+vzmW9B3IeHG!MWX3?kD z?F#M;XXoVTP^Yqn7VD~`mR6N$6YT@`T&vXvfm)ICb-~=cAJiFh?SbdN=~pILAh{nx zcGK>*cY<~dgyhTt9(PQ)6Fp4vVNkvJ#1SPm0ptNDY2{V0K;RRIuj2<2iF0Du>eLHo ze*{J-MluX1gohUxUSb4UE3bhotI2V(x512$^!gTXySDa$za7g7rSq??y!D^b`#$S0 zeQTSHf1avKPF-KGDae%@#uWjUzxLW|H+!gy7cbs0p(HsoeZy@(LTiXun!r)4Ri#kv z)f0MUgI8ky8otps+ZDVTtpc7DZveEZxfjtgo^91uK4|AJ>(!0s)*0Wky}0CW0Vr`$ zYTIZj$#E%~Yiyj77nQAZiw!BByigxjEcZv`~D$fqtO_I zngkBp_fMnVlX!3edk)yMzvL^4B15w+WnPR=w2PNBdw(f9vLCSO+6KS_6%-?Bt6B28 zE~qdd8Q4s9JupAPPkRi|D&ro#>bpS!xg9^?KHACmt9L^1%>V=TXcvwm=LKHjNra$U1l zuRm~V)jw(W2w>qgUHriLA}TN-rcdvjLif?=<=qc*vn+O>nm~a}PEJ;<)c~FYc)kaN z$&YOno#(}V18<58d%kJ%<#}&t6dJI zXGAq=cj~ODn9Tx+BftjO!%3mW=4n70;2h;Rorc*ifjvh@51^>x#W(GZw-w%_=qpo; z>@HtV>(MemiyPLw)9C=Y4;(mf&Glxp`L}=jx73Yd8k20+BtF;m1>)1IAxdb<)>^s^ z6jc)wsDEwseX!x$%5i`GbAo5J=|h63$6S`UX6Qlrk-E2I}PhWL*w9(_}if=YLqHJNmvxJ4fM_N+n>=0X*Lms+3m7o=`^)(*7bd8yVTpiT*xx zt8fXRqNb;D4@k4Gu^j`<&-Zn5ZPzyCSk4c)k-ubVHBO0ybMtCy%4dx%?^-%Am=jdJ zvF(#!L(?j2K8$%@r?yo*{e3fkPNiFdAQFm<#}9=<*Vys|o)twQfjh3BQJ8O-1~0z& zB0hC?$=f}-nb#OO_e|#M^&f#)6BWQROuJrc!rx;EGMQ-n$>$*%a`ARQR0{#UX7t`jYb~4S&oeujh%LB z#Xl82aoFuGm3y4(xsKi_JiyTiJ86)UTJ}|K&xy}h)0s>L1{pcLOA?l23=ki9Xzkq_ z8F)|J3vAmao9mG7RlyB2Gc%ZmcuxSHjJkWM$_FYu>L9Od_wkq|NP2nqchQ5Si%GzxeixJP;`Oio>aR$5_m#js>}7Il?w+)50M7wDQzOrOSqNu= z$KmXJC^O?)9b0ekQlznYM(CY`0$jLe8@MZmQVcIz&5~>DoFJR+GFW4~c-eP*4yDXi z$+Jy{6LB-J+19F<9Vm_EMP82i2-?c?W>K{Z!wFEB4#zTd&yvMZ1~%VtwHb4a!1E0a zUd*m?xs2~ZJ8x}mZTBRf&;Q^DKWH=>H{5t8<$xkXvtM5zE|QPP&$E=3i_0?IG0KZZ zt7JQ_92;hP!Ahf}2f>D6h4_wd)pa>O!ifs37Ql0B=N!W;zJt1{fgHDXF8b*v)r4cV z#Yl!%Vt{AAm23kv|g z4-aQot5u@b`#~<#>9il>?JCK>%lZ%0cJE-WY!iZu$vZYSR;$%WFQW_YI5g%p^3894 zQ`dDe$ouhFR8=JiefPbLp>nS_h5~qg+~Ilhh2Ik+Ia{m6CJzHDtX3He7}T&+T?Zh= z#t-|6AT7O9T9Ff@y$Rjr#8Bzd&y?f@u*&yXR$^i}P1bm6hQ`fWX+T4f{b8|pt{E8p2C6XcW)U@(S z7YLmkXE?f3*?dr=anKYuQQ0K=_w{V)z6u#C1gbGgeaHSg-P$CpL4(kqc#y#f>VA#+ zh53#-hz76M>z~?B6BbU;`Y-?TFUe;1o#FI7Tp$VH`LTxQu_M139e=WwzZe~VA~pZA zUIiX>{nSjMcys%lUfTk`T3Xd?vaG#&GIZS@lvRK=}k_G(2PK}%BJ~gAAnA!QiFEfnXF@zh3E%c6AT-&OnU27 zX*Uy+vvm-fbkGuD5Jv$5%nx>B1>CydIAmk{6M-~tRutu4nLYtLKfdrB8`-1g_F7s^ zj*sRJe!(Y>wN0P$_Hs6>scD86{E*Rd#B&_IvPxENjrz6_O0a$g3(vK6Kk-gD?ek36 zDV~1~7#vE^fa##ju4DRfwHzD6o8bgkZ_#4NGL1x7Xf|6+Px{It8jaqN98F z9-d!*`Q?R$g=@Zu#(eFy*GLBCTd<<*;Tctec0flEVog@pB~fS_Zplqkv>)6wJ^vX& ziJQ%WR$65k4j}Dx>cDJ2t7dgQHg?G0_R<@i6s~W4#ELT2rFkWarqjx+uI*=%M!`de zepN|~p%B6eWmOlQ?6~wiLr2QK00y$WDx|K6Xj5D&huQYyw;0Mndy2Suf*})=H?k- z5{M(P8bpv4WWbNvDg%lDWqNhXC)}>>uZed(%CQVCwNYpSr27lY&~g3bmDdRI(7E-* z-nVbx_1B>^XJ%%uQH8q~Y;WinMqQ2WxodITufR^exYc4E+hTb!l$$r21-+5)(hSXV zLL`kxhC#z{BHF}iSM}O9E`vQccg~|hd{-1dCa8>7g$X073D34dnHk^tj%H#LN2F-B zvh?$I{-S>{E4K$dqNb;Z4*v$8EtH*$&HVD?JW9z4^$$MyU|?$qwnx0ohzHXxaGEU4 z3__h>ef8DB*}Ne8@q?VP^gG}A4q0pmx&K%`eQzDY1NQtlvghQ)f$-1)DLx9W78`#8 zpltQ>Rhad>Z8YUrE;fGH>eLvPV>sSu6@f5<9QC7Q3rf4VD5^=y-wWhG{yfJ_&b%On zGp=KXGjrgGfNeQ33e*9*0orZ7ZZ%6nDBjyo6|~}VtF5ad2<{c;N@nH_&o0AyC4NA= zwMl;hkW5ow``XuT2<^>g^Tdf0H$!*gp?yR4j9$P;eP=ZMO0ntLlt8(D@Go#;U^HF< z)nLG&xnd~oA2V|u;I$A+vc9wWj-NB5hwo@W-!QTC=JvVp&>q~6HUw{m0n|IXw$`a_ zg)(!35(8aEnXc)3IjQL>Kz_S$**`^{9Bb}e{4|H+fava3juIJtl2>9>*GtX6$Vs8d z@B+iI&8;(?-r1+<*x{~g`w102Co-}h{|EMf{}JC~A(Uzr7r~+R`WDcLSL5x%B@#!P zm%{)s&_vI*%x2NwwWbaZq;);vjI zhlg%vK{W$xFn$P=-t99%l9mpFV2}@v1@v7y=CW6X4bPn8_UtrLsVZucPWtJ=;#4UtI`Yy!sps1a2+@cO!5QNH&n(*6Oz2ijE!X1;q>jx76fBbabD?DBCql*EK=l z$HvCO;V{|d?dvj({(8NhNF>P7#v48e5OmL;JvVzyDEC+_)(4wwf(kVn4HS+~N#f_- z%a7pk_~P*Jkggl~x?^~JeBy9?;z>LyCn}B2Q_Zb&{$Vpyvs&eD*G22qmfw?N!z?eO z2;i$;+wvUCk4BEhX_sM+^mdn{uwazLC`B`l-qgw~YGxKVO#`n1`J9xTeco(Wj7A># z4V=~+c`24-1Q~{onwd+C?EMtRM!8%bkWnfK!s6oMLpsG)S69i-G;wMpIDKyw_ah)^ znL~#TJ-qcNr?beB6LL!Po`*UK;Q8^A*ysTzHQA}G`;nrvbFO6oYXKfW5#R?1Vq^2P zYjyk+zgJMrRTAT#Yu7hUff4$M-3wg;EbG)Z3ABr$RBiPGAWCEFOe=rEb45vpicnOP)GNCB_P;)9tin#_MUk~NzK0G zSh}DlMvi{jkNjnIJlA445ri+j=M~p6!nygz_8C@C{WWdR1_Cv<&Pt&aE6APd2L9Bm z>kPvIiafIe;K7|;pip@QL@+vfP>v3Hwy9)hK)ZPnba_k+XXN;>tv8}0`<3_z4-Oq4 z0c^9Jz=v`b&8t-Fl&ysn0cykc53YD6Al4=~(I#zn&lfoX!~!n5}dq}7bZ4!AL)-A1zr`-Yby!-u~F zlf~{dI5Fh(Qe|kRWuvj}pF^V<{K<++WO$#y-XJRA*@>xVdSOpSUAt}6^Y?ok4uaeE zqm)MJo8SCqko)U~BMrv!Ba^YTzbzfWa{$kGD5>e^A|rJa_OVOd$&UrsSv1N3so1x4!I3sRO&As55ZIDPm43_Ii(X1aA%r;nF;^YXR zOG%9O5-IMe=_%abE?g4SxF6(l>nv!clA4gBIlvP1ZYVtsIG3Y2z@E)U@})+p*6LVZ zU9&aaj6@=S=sgVguE((Wk1-7+91hV?+&!AhFhCJ!W@hFKU--hU%n_b{t2_tHT8Up?g+WE8!zdi)(uA|jz)&}_=mhZ4KeKR8k)^Q zY~nER6_yH+7#PfnYGeDX92@aG2bikFM?1AGe^o!6MvsC<`&H!x&=vnZMJH#UA3F4F z-EJ>oWv5m;|5`7nNRpGoXk;}trPp_2En;U|7QI&xt7XMdxW zR)C+-r9iLP_>)?Bg_mQk;$j%QnV0<>O*E~hr(1=~xQF9qIX==$2u*=Q*VaGu*U7sS z%mPqMd>qQo(wwL@@?FmMLWxz|piQf5wmhrB*ky^QeO77!ZUvfh8Jc1ls!}RsGubm| z&iKieS(fUB)b$tJy(_EPw&NB`mG#YSKb;2Hx@%L6A5XE->KHCVl`P#bT(8?@ct(uc zmdNlDZ&F8@*;trAVMuH7kLev9ShWf6nUx_Ru|08#KZ*U}k=1t$hh^g>@XW!T% z+=yX7tc&Mf6C-IUoDm{vl<7NId7h|7+l9+|FYBUhbzm*fV#*QI7GQ(5@+%uYO&4V_ zTFP@gmtX(kssH@5{|O-K6J;evQ9W$-`Kscd-fk8h$7ZD{?}RD;yqC;!Dzt*h7hK8! z28So6!Bcx%$UFx^+$uVqCLS|7x}Oz8l>hTSTsoHCDqQNiHXznN!|gdt&jDMnuD5p1 z4?p$g-m^yl!@d#Ii`fFotJk(zL4r--pI8g0<@j)F?lWMQw9MPgDwu>Ignp0XDPWup6f)%4}rY4@)v=`(8S<*k&y#ny496qk)ge`9|(*B z4uKT53zyRKpJ^2@C#IiiZk`4ScJyXDf2n-wO`}-=-q0)`VVZ_+vSLyzEraBN!qOB~ zy8ITeCTO<7umT{{U#b;DAb$)m`T?wIrt5o|ot*pp*YT~$@B+uOfEktqh_Bt) z89Ml@w&AZcC&v%>Lad!(85SyuGV$i~K>Z0?+sVN2urZ{JP>kU_nzh4ele0`cxn9EuVHpt z%_6`OIA=BriRouqUXUW$#^xCiIIvg%L#MJH8$AHj(W{%Fj7oA+NlgHlE0^C64=p67 zp6=9loXUmSk+>qVEmyYmCP7~?X_gaFCLlymqGl81ZyF^4T>Zcuy)1BkDu~Ri7|wv; zwzkiUk*pv3!!i9sz<$cCJz$@%Z5oZd6diIMODnH}2TSpBF+R?Rb9%D^M(TE%dSThn z8hj)tL`N82rFo@QSafW&SzNJX7vRJgHqCY+rE`3BMV z*RktcwpP=Mi@;ac)GWOLY?j^1+*lHJP}8I{dtc#|Xnpm4*a5V^na;@3983y7u8VEL z{@6VJ9e=H&vS#abh6NUfP!7xm{2YuMF_iT4UpW@+3|I`PkF|5*p2w9)r_+Prsxwe2 z7avJ@e&EeZvYQ0(9I)rdU3gwm(^Jst$(iRsph52Z=5KeVH2N%HtIVo(^cK|%$;eBAJV1Biwcc#-Sh+8uK%A$d4BkhvEy&QR&rNU&p)rXb)$2^ zvMJl@(v-;3&entOw=alOPc^sCgXzMsaIB8M!JL`)9J_G# zM}D}|a0VB_fJ5QPWF`e9PA4MmLL-0nwV7A```FkMwbc(c-us8~=l@%yRbqS`7SOOT zLXxvDpq<0R3t;nz+5>V7BnA|L(CT&H_qgj?4AU(yznzFX z`}RK(N_5qjr9>1_VkJdrtY*^NotHoJnQS&IiGEy9NtQ6JKltE-#BcoDYOQwk=n;y( zGJ3(bKm6#UUwiovdsU)GM#uV(fA-9&C->w=|LAKMFI;%y@RPq#Qm%F4#EIW}?)T4@ z%Z+^tsw~^C3$(R59oM!OPhU9sX2FyuX{M={m%Fe5c$ML0z;k#XrkrUzET-VaPg}MmG+2PWi#2r+x7ATrrXchjxs%@0(3C)#djDi5`3U*I7M5!hK=}Om^M?-~j>qG$D&Btk?Wdo98k4_Xub(`5a%yU7eB95eeCpJxR4O$* zJdF3nVi8~2w{KrMovxM3|FpU~^wd+`-eh1Y>hh^Gn#rXmX5RR(9|_r~L9}hX?U;sZ zY4xqemAC$%%>FMbsR>^4Q*2e1-WAk144qD8qqj8OtZ$rF87-3tcl(p8+jY9M>vqw? ztRG`U1lG!_NtjKrSL!=Uf+%!d!|60#qX|Y$Iab%{pnX81S&lU3bst=r64Z`Z{qfE#KBa-=pN^c*)b0C8P&)J1n8M+(G zjPaiCG}gJU$uhm8!wh@1_x%-M;)KNC)KdCL$c5aTLsmsStF0N(N)KJ$CZc15NyRmVO6_wKRN-qw%E2qZ6n6=8PUfB@B zsm9ueW~bI%erIwhcB3pEy~id^?XU0o%kQRXc%C0$#cxyQYQ7^vtGnGR9n_26)^!0{ zw9{pQ(`mZzaeu(m&JjhlGn&1(W zOeTXF2<-90%{x0GRbm=7=zD=`iC70m6u@**!$tZvzgB9Z$6(>`){ zuPdN;Rw}}q7pY#1Fc9BHy}q)vw7Ic1H#^5O^!C=4<#jE$ z+wSuJ>%aT=$&tyq`T3=vywmONG<&{BH~02W{#lJDjy`#$^1(S#;AK(3KSdT>hW*!n z{nxWIvrip80)pln2)(41FYe#}?epio!-r43^>ZOPksBX#ZOWsm$pd@Wm)`f>9B|X_ zv@46p)AP?TtWe)tSJDUVPED_EIYzs&e$o%P&56CxCtNHf@*L;gn1j+i7j?fS=^hBV z6c>twb^-YAcf0z7=4j4m_I~hByF`@>S(!2QiyUX>_U|`(8SJ;Wx9{FY9E1TJQ0K=% zf`e57JU=cH4u@m0m@LaY&yxVZguOKz4Ij2x{#r!6rH+Pvv~8Q@dLwD_2%BMgLSL2s z1j8GVXS`}&uWb5z)7jfBeU(XMaVkuX%i!lENM~uOIp7*10@qAR4JByd!`uY1~&%7GSW(}*$vUqlimBg9-$qSdZK#q4+KoH3df*@Fy)lZ!8 zu{x`V+AP&O!`AhzR3eTN+(-n4q|<4DG)jPpv$L~v2cxJ|Dh&uUVkAErF}DX$FjRs@ z2;e!8PebDIcrKR%U51+Ot9U z+G#a% zH!yUF<%BoHej>IGJ_QbGnnsXyH%{LIt-JoJxQT8;X~c38d!ni;K8i#lfNFsB%F4jrzV0R<4TcRhO0wJXzHr5Y4~GoPi_r|j2+i$tVzefy zQYbS-SQ)Q`7$LlU;-9|oo71h$9jj9D8jT3cjwBLEP4k)llTY$PLjuFZdqZ<`eZAp@ zW}ZHD{%7y#wINXr18Ykw%UYv3yl|9aC?%F`<~L)*W3V8$Palitvhnfhu1BfK;Z~^- z8yW>>*EiQ0bM46Io)Tm^HZ)e=+Kwd>s1EDr)#CG~PcN9}%fItGAAI=X!G*m-Z$sL% z{ghd?R=a6xmCni2R)}>I?P8l()0`+sk%$yhoSu_5%?Xj@T=~M!T3cs@*f39f(MTj7 zPgE+EYPE{?MAMPQjDEhke!~(B2BzXRG-;fWwwWi?;SffIXnBK^XEsNf8NhrK~Ywx z^VSj{=Wf$G>jt zdg0QClTW=+Ts#*GwH97@3aq=^TVP&#_sv5uy#O`~+FChr;-yq-p_epzYiq0BZtqSY zjg~on?AX-A#A|CS#>{MOtGsr(+|bmH6?R;{aPf?58kRUNE9^iU38to^M?Z5VS7Vrk<(dOnRS?ai1`M4833q#>Hx20k2 z?dB$2Bskg4lquOi9vT{o z#bW&pMWWfcp7i*xPqQQmY%oGnAd}VXPhbD!arsMW5t@{6K- z>4}&3r_;vFzRc9#%;>(+QC|Pb(+A_xDC#Ck64Tow2Yz&1cV=ROvF*z{JF!d#JnqE1 z@3X@TvZA6wN=!DI_1bo+zOyy7aM*KP0JCEnRM)L-EpL4IR%(1giKi^haBUMGfnK)C zg~rDD@hM^9g{OOQx_s|zkXXxbc$TpY!~W=_-`KmC9J``=nI$h=xG*|8N=PJH05U<% zzT>_3-h&O4&EFtq$tvO}8U_F)mKZM?JwyC62SAL0MAg$6B82v-CJ-b40^yNkOm;}vCck( z-T|DT=mFBZmrQTp9&c;yw&Ci0)=z|-o9|TCx~>`p9(l+#q-p^LD@TFpsL$YM>wP?Xtw+_{Nj*8Tjf4@cbyiGx7QX ztGESWf@us80r-7Vgn$y)G!5z=6XuiFUlPS~LpRts;5jw-qM97%q{P^$@yeH9UO&GS zN)LBk|EN-T@$_#W-N*Ny6rchl1K-`*-ZngMY-EHiWlj!dkG=WEJ0D)My3wVNmd?I& zVd-3Zdy`$ixTEF{Gt#h_Twuf`Bc*9R+Sp!9%)Hd47%4W+DH%qLv2x1u_(pyuKJ_BS z#p&>&j+1HX*-|;YwJ9u}Yn=W0g{3q3hLgLrQHGf9nj$iyBm$trA$56q1poE)$?$i@1Bg@JiU~{wC zOe7K@yPxR0p-_kz7Gy*E7BmGG*vE3{J7E0xRd=JpU-`;c&Ye3KsEB(d7+?bxl+8c) zA&S99MgY$bJv@UDLxXoZ9pd6kh%fM%Y$OvwQJ~j%re_I4qcq}BcAH$v-!V1KhE6p* zb|^g&pF9d4X=%lmzc@ZNIbPgYrG=QFh|Oa0S-vwfF;46ZvXYGNo;q`8W?@0#{e)Sq zX6^O&F8srHe}49I*JSoI*CbL*?e!|540Hq>=2 zTdxbD1kKQ9Bj4OQ6CXb;MKYc8ilD|g-e1b+M9FM!8?91&@>xEVHo|+BJL%(F;!n@pv4D*B#(GdJR7ZbB8RP5FsOhtO}rTvWtOH zaqF$VfudIA=`c=?9654lN5ulUUb5Njpl$b(qlUpMcL2{1F+771LxU3?3J@iGicsj8 zOlEw1d}?ZHdU_h14|J+hsoVhr?jtn5PEoJDkn97e4yUqx-pD+DbeEaa6`nv@L6HbacD0^Iv{?>i_&f{zsP; zjZTJ=V_nCPB55G5R$A&(9Y>tDM+nk`ZikH>oWT&*ES2q&V z&%i$L9mh<~vve_y$3DyoveC!`u_akWW%y9akw>?T=!sSR`)^VS90}VyI$Aat=tEIRNog2 z+Uk{8UYVVpotc>#85v0?lhDY3YD_!=;pKAq4t9}I4a{CeQOFJ`)k_~l&QPIl{WUS- zVum;5AP}f4)8}0uV9%pfJ zu~IE@iuzAKJ^vqmRQ;ej;e}_N*0vN%gfdfpVkjx(IVK8B&OA%NO;BRZt+So#hLW6= zVmZ&X{M1t%Z+Ggg!lLIniOHvEnkAL=vvjm8uB8JzBclhD#5mRU@Bx^v=U8Gm-R*id zSa0F7S>F&uDK>V95@Stu-`=eI`CocLiN!flq&cq9Xzb+kjau!Wzy0mp{JesW5Jfz{ zEXkFf_3bSR?A-3uw8|RIigCV^O2*MF0CnQk)%TD$dxB;prVl=XF@%mo1L9_=r~Xm$ zPlU}V|KP!c=ryv<9E-(ZvB8*|>)-*9(OL<{m*Qlymmu6@XtY&5aXz}T1DvR&B zMk_LMps{({YL#uHY3t4A))|Hq?TMq+<@b7#$Y@7zX_Zyi)Kl{>?bJ4}#1BI~wOW1s zqi}8xMH#hi$InYGv%H8(`WY zJi<^WgL(4S$&;V`z28eUo6_aWi@MHFO~ta=!>=4Tf9AASDWimNZclydtika#)kU+Q zeE@{5R*U#xqesYDWJv#%6m|9VGoTtEiuSyH=Xrb!&4^+T95{gT`)A*&T?boH8V1Ap z^XL25VGRJeH#RnISSIQ=n9kB<69=sX%j53Dmj+~DFe?Tn0~ItNQNaUv4&-*H(=}(P za=9GYZ@$?mCkKRvc>FlJ}{v6UiGA3ZtJxf`s|3R4UZfxMQa6m`*p8 zp2FW~n|r8@(l_lNT@Md4B&BPb|Op-Y+jKJnJ}@HaE{)zRV71!*ag54c2}r zGQ3b;dQX=HG?3TzNKBY)HjC%IVN8a6cRMh;x<_9N?KFpO592nk?vGvj*qw{Q=57+Ks_ z6uDSw)Sb}C6TfD*E3K`wpPg{OxUg_IkvN>q9^JF2iQ6)nXQrky*=)2Ypo!as%71v< zQnT}FVzjc|nl{bjju@#5^%R4$!9 zG&VNmbwB#)|GU;y)zmo4N%f7>cB`06C|=JKJDpAg9k0jZ8x8=dB-{)mi6H3ixH0{{ z>wA7#mWBSpFu37z^zI%cMQv?u5mY9TWNzld{rc;#-vaChM12!aq5-exAPZ(L*%KM$ zUdA9t7eD4}-2r=k$P8YLS}1*xt&d%V#GN47xD9q_EEcnR(%0{}-hZuD{dCT|dGqZU z*SI;8$&^Z^W~0$IJWdL?i;G=Weq#UZ7hWEpo0=lGHS6^?*G=u)cX4g)=z#-Q>SmjN z^MfTfJloZa($JpN+za)MQ=Q62t8l3X$gHlT3W>RwsIF_|&q$puZTocBhsIFbwJ~>T zs>=ag?GD8V%_Uptxtmcm+iDMGQ5UZw>(+xj~xam^A;!ZuGfqMJ`u<)K*N$4JAupCClwfHpVZ6Y zK`oXLYZcb~|Iglg2g#A0cY^6nRhBp1)!v}d@OFS10AoptR-`CWph_8=Ho~7o}T#f^76>Y2pn^L zeqI_Kl|rG#si~8eMYZL^v#(5Ds}BkSFV}V3Hc6TRgueX`U#PBL<@|9+DM?;0wfxV5 zBlDEuLJQ~6Zl=%H8|EHRAXrbWR+Zcg;l>-wnH2~}BM6POHB!}F^2#`bk0YF>qc`A@ zG+mQysn_e3TbV{nFvJ1Qn_xX5wVH0`=B4;JaB)LvfMx*rpH!Gn|NGzn_^*D1SX~Q6 zLXtl~5k&mp!7Dd!zB3Xjl}f2}`uzFxA6{zy(Lc;KGIu<&QG)ZAtMz^3V>{VJ-Y|Dq zDC~EB=XcJWIYX~&o5QsJ{_p?((xpp4px;!T!u@8LCUg*c(**|bkDllEzxYO%v5rT2 zS2(<-(c3Nk#PD}aboii|yQ%I<-9^+HWDrQA^)z?;2E?MjzkdTZ6L(Fi7?&kUQeR)+ zZ~fM9z3+YR1KPLYy?xW@XE$yj6L}nTdg+5!{*9TCFwH3`8OfKxjA& zRJ+Zm%m4YMIv+^5C7UcAE&*&6C~T{=8a?n7)m$55GksJtCMW{y$cna>$~2oYNzo2L zI&R5i3jPK9)OKX!@Xt5?b8Aw&A9z93bfcxH&g<2zY4<;hp=d6fFP6$xc-#Af^dOrI zH!s=gm#k)n^@j6zo~3|&CnlwyiQwRIj}-D8`sAH7J1^7Ey)yOUi?7|ha?MfIGS988 ztNA{g_81Ft`^-~`_%X0kU;$m-4&+UbUT0AcK{qR0H9M@c08tL!< zt8ZMq)R^GgabK;{iqx|ofO++mFVnowX{ICQvTZx2WfzNX*(WS(10opx-Bo0DccSqury;#JUE&;*Cs2h;B#bObF2N8P9 zR3Ym>eE7p322FW~-54Jq2avdS?Hb_vhO8R*dYLJTTuElh#3P%p`6Q-)y9`zBG^Db=~$%es+|)2@wJP8W9h16Dxua*za(aJc>qz| zT*Lq*%*4`($U^5S=pp=x8<3mRr@-;+>tMnd!k}Sltxl0m_#XYFd_I4`@26~yh@CLi zMrq+CU*bTkxa99Y>|Tuylvk%l4voOAM8D79*OSZE>pB}Ys;Z*2=Y=DU`ZHH^Vj!kg zGfKUb2#YMs>;#*!5AS~WyMOK1eht|34rdA;8J0mZne0r{mJ@_g&M&_BBB(X6z%axM zG@I?Sd+zF56tFy?^MK7*V7psX<6dp|#*yRR9GXm^_4fAe)v{Mzc-{r@3@sQ8c6@*l zq2XXa=xyK`RLgKU{M1uVy(Kj{7K=Un@WXR+bLn(?Lt>LHujAO(o%yxE!S_(Cz_wEV z{ueI*&Jpb`%zyaCH_UeG?^d&^HX2H!Q7B~o>)%|g`%lrN?cyWDYxR6-;T1r{RwW%! zW+D=kD-;1g5J5ZlMK!sT`l|C2pcG&m+P*psSQKJ&#}0;Ij9ICXb9b(c-vexWJYElL zE3KBa@0}z?rY`@j7#{q(0l{fSR};%#{AT)up{v;Dj!gadDW>7|#@ z)tR`P#sn76_C=s^4`sKT5Yf8=RWwY6+m$oxn;;0gU3Wn;jU{33&s-~Aczz(@S(2pn z+eIjOfer$z{y{GLdV|FZzdrHA6FW4Pu5Vti_riq>K(Jr>CbI_4+dxFB3yUiec0mjjAlS6lG~C`NGRZDHsP-Zk5)6 zXy)&HS1BhQz{AX|{b9CNZ&WIk_4aB6ROkjslg(WP`HMBC*mVsp-WWZ(nN4CgkIfl3 zL3{^-A=W50EWs0-)ap4Q*h?{-Tv)UXh4n;BsnqC^zQXcyy`m;2k5DX=OK0D4aA0(7 zyjrcUuCC;gi?^1mk)flt?3~le_r*ib4?1RdVx^$ln1~Iuu3!K4Uw`be$KJ-8357y8 zZ{9=%+N?RDO&hVfvzH7XK=oN(UVac{cW2l!qYf7392*P!v_hc(;usLRqang7Tv}QJxqR~ENwnX>q69I7DZMb0b0?9=TWxUSul&ld zfQ$yxa>&5HW!UwdQYdU0kTOl!IUkGTPx5y`gXh!_yO+3^kg4+8@I z++YB};3YTOy24fZ|p zXe=6yAK__xra*5%>nW0mndBHzeW0)YC9laAkD3!(ZWL1}!9&&Uih7JooM3 z@sHb?mzj&<1fwr z^R=}pUwnL(6fa!3aQ?!DNF)Lj8S9roTc23FR;#V9uD-qX0I2+>FMa9u?b|T3ph6-1 z;F5rQVZyi#*o>G2O54s=v^|y)qLULBbtV`bc*X}gH5C?9*<-~VH{di(G`xemG!bmq zxP4!=om8yCV4KbQFGy#AZOmEG;b)zSlb0@Cnwpvdinb-o+@@tR8MrK#WF|JnVu3=? z-`_tpJp8Bs=|A(sk9qr!9E)oo`n^*2 zPGNS7POK4pgZ?tM-ZGdlBl--v>`xq^XttS~htJW;rveeq8w%wYX615T^ok9K8)Xzz z)6$vDiIb;Hhy3nq%WyH6%3pZT*$@8g2jcNK^b@HwLc;p)t*or{_4U0a8V5c9$AA3C zKlp<`$Y!%x1O<255&luzfVo3+?)nqq)&REv+dI6`_JLb_K!~FpM|Bpa31b8vw6?bk zjo=jH<}|cjr-*dpo_9?H7zXjWSz>~4!7W(g2lH+srUH}#Jb&ghpZTYM`lq*ayS25o zXgg|Xn|A5q#Z=kg1+USnJ$59X7#KpA;FV-5&xW8w{@&rtN&$LYtCp6R0NW*2^c!je z0I`{!u}qDi7^^t#5om^G0mcwbF)aqF0=SEeXnNP8?z$EuN8d?U5ted7uQ4p?fyEr* zdn|zrpD_dr5EQP=GOU*eZHaYkM=mTj^9!x=n%*pghEFm=AiJEGB8mQE=fucRdS*7C z$$sVO?=LMboH=s_Zg>9JaBoiphM!{jzx&2Fw>KN2{jFFm?tD^Gsnlmb``JJHvp<7J zKm-1Iu)&0^xE{8QH+!q@QD_I=!|zmwX<<(Cw^8J6ZxHCc{fr&yfdpgc@ey5k?zWw_ zN~Kb-*SD1T7%z0MrHSDsfAS}P^7+qyeuri4;iU!Wdeeee|MK*ArJ=L7le4 zm#!Cdy>@-A$i#*mi(o}oH9d`bW#;mdPWAyM1Kc7ULT^@T=_%F|(B%@K?gO^|Yt5#ttJo>Qvw$PMeN2=)*oaqh629G}+OpH8xb*@;dAV=@-A2>B4 zGJ*bJ&)BP1r<1AF_5(OPJdF8UcGAA}t#AFtZ~O)(ciU#S0$mU`9Dq)Iu!P>yl0z5n z2jS(~Ai>{MG2KfIw|E|eDaN>ecoERnc>iy@ca7WkMcavS8xa}+X2V`AZo~ozZBxwx zufMvw`n~Uc4~`rkAK(5)fa0CXlJ|sgP5a&7`@iXdM-5FqF~oi1{ST9rE813;7A`dy zu5XZX(_j-6=Pxf@ot>r#&px;OBS0KQH`2G&T9);M>hs_8IYp9UFo_D{@%p>K8wJk` zzzqFgujZoz6gq#ATQwxgFkI_x32;AsXcqWAoxP*`Kw3w4<0>yaGNoN zp3KkB4-O7)KOKca;Sc}t5C8UW{}%hXjR3-m7mY?^{bA^=4s-gJm^wC($MZmi4zKt0 zM%8f7Kk@@uOS_Za1RfmZ;eG34(RB^mWi6df1FisEbzUd<6AMyxyqvZUP;Prmf!z6{ zKl-C<*RFl&Lmz^}I-cH`@dFcg07qY2Tl?roKe|1NU%ql>KHb=Vw6C~&`)AIKx@9EV z8|44r3oozso%Sv*+NR~$HpNgkzxi@aKj4Ync5FBKmu>3l>;EhU6PjFM)I1}$>rb@% zutBB8w`e`YuKx)suPn=(4Y?>}{p|?s4c`-On=POYz}N<_F&IezHW*v@jwLj`Fl{J_ zz~C{?8}i1+8krf;ExfVudYv;=RjF4B%X0%q&f1KS%OpQ~_SEg^nO9$Z<@n^_Kwxz# zU5V_w@b$m@#wS1a^V^Ie^x@K_OV2+0EN)SE3PN`pe6zB$@|S=4m*sMK`}8uMsYi3= zdZh%G2LN+EpMM+c4Tcv+=|L+y(Q!>ci_YZa|NFoH*kg}< z@{^y0!?wKCGvEC_8=0UvNw8}XUb}qxvWsvextJ*`0ofY`*zz!($a0KDMH$ZT2@kp% zwxPFj#j#B>JZQ*ehO>z_`$zYU4YvRh3A*jQQedlgzpV#Hm)HBJ*@c7V)3nWRy1y*#iP%Iuk ze7I7nEX>bJjhnVJ7$1M=`b&SD%Vv9ed$%0G7hZVb%U}L-E|+t2kGI=~#Ai6O)oL{o ziENX8g!sV<2hjiZ4+TE~w1d9&wwK(V^zYrd1cwjP)6-~o*{j*9h_<8ReO_hq$Eu2< z>nqIiZ~yjhf9`XiyHEPoHE!P*ZHLBfY(RN&#}v6{XAc!nYIB;ZEw2D40#U{q(w&Ch zzn!!m(B|gmo`3#%_y9C|!yY71-Ov6Xe`H6G8*0PTn*Z4+PmYX^4G#}T!l6qIuOWo` z4jkeU>Fg!;%gi5f!`r7zl0zfnxi`}_?aXM>C@qMYqn-e|kv17+J+#SI3i(mZW*T4RC z=sz0mJA=P|{BfEv{^w0mx$_MW|zn(_loVxQL|NQIz#3U&Me*V$XGspG~3=RRz%q_27v3dJoftO^P-E>g)F=h#Q|AvNKXMG0H z&4vUx42vji7#X;r>n?7YbYR4^ZJHHmn)Aj+Ekmg+UKB(9{=|6Sh*V20wW?KK3UEGO zGrjW2{)BFrufBTmsV5$P=7r1Emd#2rH8=J1AAH|>)#__s``RD>@gJvBDVV{-1b9=Wo5WDGgx>2uVj19b3D=RCROlEVUsP&;%>%nO!fvs>U;IGTe%b)%1XTS8N zFLhjh|K*$is#;WV_=LbwA9(U)u~bIg;z20Y9p}KZmYvjv|7d_EYDL&@VQPW_?AGzR<26MBoRad5yrYDmv zT)A?2Vq#)&X!so$9?~?GW0_ZPETvOPyxl9Wyz-mB`I}$)%2(hG+rM$E9$D4`2^M2EghB76*(LZZ{x;Hw71h>KsM_uod(ba{2LC# z{9^b{V%Dv8uNcQ@v58aO=xAm6GJtf?(f9D4kZl^qlcyD{B+1BdcpSLK|S)F-pawy!}(*un8t6%-?alUh-4f)ab(VE{5mu zz#+%eYihDU>23_u-P~A!&}i%4QoHZC9RXBqzq7j;?VyL3UwiGZzx?GpSu48loTi(P z?-$;2?idCL8J6?CJS~PIj!m#0e>FK*FE(VYm*IH0AH#ba*%`HxWH^u7$SVuq7Wp?S zN8xJ#qM_4m_!oM(p>!3>MD&9LO@I5&;okf)u2A_+$~ou;_YbO^anCWs$p(8xAk zhYu`5!@s#)ZqMvV<91J13EMEsKNXPf8n<_GQyT?Vkfb9Y*S#Z-rFWz@vc{#QrBbQ1 z0h2m^cEYiUO}WOlS);H(0ln_bFEhSAPKsG_@yUlKknaZk(ks)eLhmRA_yDYzg()`P{9vfoNdjPLhxI)H$i!5On8g#rz!16D!}c~EhR4JV zCjfPT$CxM-^M}I)J6rXLI+%=Xy|tX7X)Sl7kzeo+9AQMCzwe-2T&%5LCoIEZVvSOX z;R&T$TDkmU@BV|6@A(8^^OY-CR#sO0fzau3pQ%z9Wx(d9xLz>&zOcK~#U_s}57Ubl<-9Q-=92P#xR@z=p3zR}b4f z%ed*bL!)DtJwMRwInX=diH-*P4*2%Hqp@~{u^I$Pcf>bF@iv=H^zp{vD`@a#yRXQha!C4c=>?*>o(Hn#X3=U>71IFxYH_Rlky>T1K zC7gok$}vSKLNyG+mSM!$lg?#Hic)J?CVtEt9oCy}{%vo3pJSW#)RbitEZyXIvba1y zc>Ihf;IGwN`vv3liDS#l%eh=O=;fY%Wrh{~pjp_J`B*Gs+dC56n3c2IZtwxR3X|2z z5RT4n#bOct41U160Mtj7oq=~qBNxhZFHkg1wTi0xBTgj^IP`!!a&K=7{lXW%080xi zl<(dKiw!q@x^ucEPXA=QySs7EyZaTgO@kz9&KG4y->b}gO?0#lLKAmuLI7I82f!x; zC)}Ct6oCMS4W9wSFnah+(nOO)p;9*(*VW5#$UdQ!&!(1^7J=geX9f^XL=wXA1Ryah zkgM0{{QV>=`1n9CaA?a=D2i>na4UN5Ccln>p)A;(7y3ue z^D8X<-iZtEaBQH{1Q(3nTw6STaR14ZCxO&vGgs-_96#~C@YvbRcfU8`Cdj1U6qrG* z!*juSvh5_~9Vd3=XP9^rqi;8;CZs!?Ix+C1fB(<0ycedx-6NMGL?!nlUwEJ{z-j>v z=>ZIe-ihpn@xjzLJFgFRA2zJ^hE6KoncXnU@Fv20`s2>n(=~4I;wA=SMyqP-a&_fO zX#8C8+`rRomUOK3%LuKzxLFG#6`3>&eFQ(CqyT=f)X>X!y#;kka*(TNzQjS>)SBtr ze%=fOLx&F^e(bTw!u`V|7k)-AWjL3Wl9u7*SCanzV~yOb1AhQ`S5iPFNs7^`Ym{2- zs1cafYRl~|xE<~acS5Juqc3o144A$L%XiCbu8#%BD|9xw(fM}siRi!mh5}2GJmYAM zqGf1WBTuvwlj_Y947)#ZJQ_3#3%4x8gs0&|K2J(;7@XDH+dDMapYW=!T3(6{Ilkda zrMitKfsDCOC;%sh7ak@BZ3))kJe`dLqqq-mD^ zaarL&fq=2?TDi9o-=Ib9_VGc4?pnF;HOrW>=f`L3?!xmfZY1lWXr{V$BQS6jkk2=8 zj6LuRip4tSMk6^uGVsMMORpn@BS_b3wPZ4hNHUQ5Bea3X8>l@G)^vb^1d(|nqvE@(evxzwb)ym!x0==LKHL`P{msD4;%7sOj zM)#fR9T_}4>8sAaSj(gshA28hGVQX}nVA{j%D?hIe5zGi)0^eM$ivBOnIee|+7ALV zyyW?O9)KBS`UYTL-!V8C9u|r95B%!brmm{qeX$GwORKP8TN-=;?AftF%lI)GCqXwF z931Q-^fuxfHzVG(w9Nh7&{M37(A$_WF&puZ z4!*ni%AXp^=UJ9VcWwkfz<^@07>~!d+)qM~#$;O{b^!(e+pzK)QUN&Kw#?ORMc3^9 z{v%>!G^Ecz^~AY5Q+IlMdH^A2^A#q>^-LUIy?ITFM&)Xapu>)BNU^cX>Qx~SHC!e)Kko%N1YV@rk&2bas`^--80 zGHp{e*^vMIzvW^F+Jj=rxkX>!B*pNyX%P00*DSfbyo@7;4tL#Ga`O^}1{xJsVcDfm zfz?+#=>fWJ^DK8<#(uO_!@KajTifRd;{VkZM&zZQeXJ+k%uKUVm}W&WG88=h>54a@ zFMo$M$|UnT6$40sr31hNFt82aAxL8q>`JAAnZ=LNyF;bzX4{$8p6iG8~a>EEC%YRend0^N-&|Am#BekQ)rGp<#oc-@A3l}X@_k@S4 zYuEHxMh^PuqmMrK+;h9}5n$1djEta+)6novw-5wl3ZMNY%6!`X{}kLI1kSd97{3nKxEunMkWtnftX_Sop1L6ySAZaMo)9NR z#Lxh+e7m|tQnYh-Gn=?ucnaN;I~_xF`sN}Z9q>k*+xYnS@bK`K{l9SG!uFVl>G}YS zJE=C1I(K@7!$lzOnRQER0N^R*HUGd7-XAY7UbGDu+MaT@1SdduXJ39d8X@G%4e~A>*`Y@XChWxI+itHMTWMBW+)(75zv~}+ zOf9ccByGsG+|<)rBk#tPD^<{k>ZvK)Hc9#?_k!a{ZjRTYUnK1bvW1t zp$#`igBlqb>B94a+oCRlnr#ux7)rgKyy1xqdBTJK{=>fbKDCl6&AnjC<>16qiJ$wA z^!WQ#xdBXC)AdH9kxHe|guA^Y#r;>;0!)$Rrr9)EZ)A|+B}xePdbN>}0XSI!5S65- zzxRA))r%@@*zx?vZ=;+AA1mp9OqImw?Im@|Spe;aAn9gy z8uTzzsk5E{;SeN2iQ%E2@Unyf$10!QH}qcPg9TuA?<2rE{K!W>(xuVc&$64F=pL@A zJ8#{$=)P!gBP~gbAVNdO0iJnZ%y2Vi9CWvYTNNSDOY@uoRR-~hQL3p}^h5LCnIIrtP1M@>}@__D_*hiB*JR+g9H3S~|4 z@83Ui@<^yR;fsZ9xk4%}wMt3B9|z{CRx{1~9MEW6&e64LV9yx%v_3;5?m%P8Gf@;_ zG~lvGsqa-N6At**U;WikD70nI;R;JjOS7}Hn?)h!%PbTMa0~`+!7=bg!I*4tQbiMj zyH!j$HXpKR56yDk=rD{e&GMiO)slBA3*YPQ4IMst(i;p~a0*G*mzE|524b<8BuR^l z3scvxB(;zfO2C7cQZqhQcZ-Fz4g1>wGbkvPN(DNJc4L;IHMKdbU|u`pL_t@$qr=E$F`5_u^O>Ah1jO zfBW`rd^NgLyiLOd{y$6tpDuge#SK^~yy%tX%l^ItAd3NX0Yu>4CkYbX8r#$@Q=?eE zRa#>hZsdu7Gx_Pirh87=MvJB?+*i)!a=^@R-*-!p2Ap7NCR3=XOoSCYVq^%gRw*r- zT9tB$iOI>w9(!zTeEj&M=L1Hgk}kk~p$l@YPO?6LvD(@VcjLBIVR_dHTwZ;Jxd*T6 zc%>m6;&v>2hQ0xZUhm z=-2Ju6vgOO))SHoOKL4kF`Q%DtbmCL{KmJ8A*k@@CniHko ziSp8=wyT=u&b6V!PxbU2cLv;f7c4_D4eh70GTj91cS~7!Io6h|eGinK0L2lt%&xIy z%Z7UyKg<=n@VvWiC;$k7zJrbITq8RJV%oJElQeMX(&8)4`~py`*yQ7pedkG9%-r}6 z!1=yk`U_^_Lt0CA9gis&q+tyKR;ANvH}ltBBbX;4$ttl#8Ky_oId7yM~A-S{+td68&a*0uv={gY||g%U9&WVrl+mK*ZqC>CqGKdhghXdG%^~VFB$?Y&`A;eG`PLw7&Mr z#qm%4Vz{TbmY#Mj)1R2EnL<;iNXPDs^LoZyEEZF#6g)4+UlHxlDUAyBe&~zALm!ay zbFU8(NwK0|>e*LWddzdCYUsMG+YP2) zt!1R%$>{#aIVsLLx$_@?a%pDvP$JGT%xWrCrl?3f9t!$qZ%+C92iESaRT?1|{(bRg zZVouKT6dFm#JGlIYDIwayQL}CTb?o4Y4c;kF~B1+5($8oXq&ZtJ|BGk_P4(c0`AbE zLmNcH>gww6{_gKS^UO1WKmd!(DD4Kf09?n7?afnQw%Z#CN!qFaj0~J;npRIN+#DpD2Fy#aHBm$HG1Fg&WJH zI3^btNWxLeX_NIcdciaexGdfg?p3K&0Gly^8uq~rYX%C;_IZ#0;=tLD^4_RiUNz(r z!+T*;S;6NPy&xSqw;+c48|gco6lO)ATv*_xXfrpjHw#)lt5mZ;Z5`4^)u;QKZ#g)q zBJb*_sJE-mOOn*h#C|Wz;rILBs(A0h^X`Uc!52{G6w_~V=>NHJV#?nPGcvz{Pa zk!A$6!5V5^4D?Vm%LjVYS|NGqtBll3hQ{?qjY32U8I}{d+HIa=;QB}n(Zz9n`mlScnV6IVD_h`JF>yDq*~>4#ytue{^ytwJv_Jjy z(}2xuYioElOlv9#0%jnG2ZYaC)@MZTu-Bony*u8auyE5zBwQ|)sKAI69cH~@v<kIe9}<8uy8WLQSj7u{I-gCoTN0ZfIu$y?M**gbz48gKQZe zA1{~7U3h*_;2Cg2>Y1QfQHqU$L~iC6q}Zsh_kb8oX!X3C1EihGnuP^W8XQaIYIgvA zkO~ub-ND`{4@HvqiZw#y-dtk}eaiu!zyJO34-5kviV@(a6pB( z%vFLW_YOQ`6$*5IK}Q~+ZvJDcmUY5rB>f_#N%rxZiFr#7#uXx zssHD{{x{DP@9Y`wGYx{G2}9Kur>l%xsX|byX|0x139pZqC9lYFZo+e7V_H+E-e_9! zhr@?H0K;giHHu;C={t?=j0^C|8*+XT^ewr#+$ycYH;vRSxv<3fqNXO(ELTrXskJPC zx17FqU+r$iDssqw6%h71GTT5fZ6r+vdEuGcP8n&wyZ_`j*Q?}MD zHnX$-zC%EijaJ1I9R>_0NJ4Lx0EvsU&qohD85}y{3%Ge7NrI#~v9fa6-+$N;`xHIt zI4XcdXBh!PXR}$aM@$!L1!`3A#Vu3w^-KU=lMBl%X~p^{+?`X4@Etnxog1(9M?$P9 z0`aUC3Pz<8k{fLDmJx`@$IlbM&EaOD{zh)j7wHGU0Eq1HC)|?60*+|k+nn07)2nS* z7l?aMOF#Fy&w)w-AGX=)x!3hOzhcpK?A7`*S+4!rwiz*GDs{&j5`%rF(x@e;0z)S> zlWHn&Kw!C2p$+5Qay110XJv)D^dR4f)>2bgxLn=YRw?xsO} zOX_l$J?~=n93D9h)J&JlwBQAj+Ag2$mPZgneekPV%hWT|fT_GMV(BeiuGoggiUEfA z7;Y)%OG2Qxwss>f**r_ha;xLNL%U@S^-@DG68(Xp)4E(@MPGRQVT$GD;+oHAo%_HU zhT}+@U>PP=sa}8XJ7H1OmzU$Zek_qVwSTfsgs-k>j^5yeaRDa9L4ZfxE0P zGlgNt@b;plhUL3u9F%FA0J_^pBEd1$YIXba18^AJean4NxJ$FyMBN|Ld3N|Wk{eOr zWjd-`wBV1qnMr(cwVJl|mcxh-^)!b1dx-X)_x$|)$y29vf~+MDt4%$1=Qc&!(f-8T z<(W#p#`2;!I?^hwxqf!4u`+wT*{pj6-p!c0&O#W8MCytm^c*G}tGar1?8*Pp&EVOp z3V|M&Uzibp|ItR~Ht&nkEKjq71B2YE(ty}K6Pzbtstu)*;(X!4%2lIPzi*`#40SLV z+_H4o1BlSLyR_FBL>rj5EEoGA@~O6?`_5erx}Mv+`IWW}F_2IyNlR@BXP=3jkv_LY}qRkIrMI7Pny{P~AYoQTF^Buz`4 z6&gMP{j08AfeyJ&OoG(P&(ie9lu}q30)P&=ok>gG5D#mLlKfxby1FkV!+Ox=++U>KIJYw-5QVlkFwU|uX; zDKB0O44zAF!^=zOpz9}N>2U<%s@d6v=Jbmzx+;dwW|&$?+DEs*v8!~s_Dn@YWz zn+E`1yZ9BL)F90Pu(d{kASv6_Osxsj8Bn&obSZi1tM0aCc@20N!!m>eJeZbzfl5rw(fmavg^_F!WvAop}qkwn3lQwV^ zEP#Qjwma7B^%4Z5R9)44|0zHmb+KJGfZ$(8Wv>Bzowgf~&t#8kyp48r4;0B=#%s3vc~ z;0FhfgW6ra4m zmf{ltguFinFs#-xfq|oZAl}X&sF`X*YZPnAn*fvf+fO$#GfH_ysb=(MSt+f+@gVVw z>P71!_k%zQ|qxAuAnFiU@c0APKFb7ChyDzZinNIF!ZIrzaMU1 zY7v%0149)93ALJ0>sioOOkG`k@xQ$P-A^1ic&Kwbfn{D>%`>rtn_SbeXD?0F)r3QE zpe@0S2>u>9zi6s;z-ikwTqkgX&{_?H3Dk8?vj{+LS+jJDgk!W?uAZK%uHC3CU8<#S z8Lb*nc89QO&MgHd7nT{p2b}>n52LNtbD)I58qix+rL<%<)=YCZ*-K&SQF+>?km%l) z-LO9Q_Je=^^PjidEf5H7u2c7b%<>MS>ALW|Tj4q2^D#6@dwbj<9~Vu-Ae39B6}M!C zWw_;^0ZM%_n)ftwb3lc?kzo+%N-ab45}=gPatkMTqoW!js5VOqVZB)r!~Oog1H3i%eWd&(8G?c{x#ZNWv@>&c?%lroFwrxm+%v&-e87 zSeE(p^&07k0THAbAn_%+xXAKeIxu2YmjV(GDm1VqjH*Im)Y)=&`_}gP>;yXFelUCq zBD-Un-qHYmFL>@?bEDA!c8>Kn&_@F!p*QIAa6kvGkJ-BRdW16wq!U;{L>e(C}#hZ_7~N zB7n+5phvByO0rsx2TFFsI)4xXh|%d} z{m%3Q1=Tw-1a{$hSHiO!m+bNM#3DKu<$ZCAVK{HNwsyl49Raoq@)`&kMYBpZRh)eu zU>G1ltLKbX9dMfU1Rb}2Gb02Oj$`PJBJgiZsRf5lu!7`?3@fEo;9(?5vx1NJhQ#my zusueQ0R8l4Ix=$5Vq=B5t0M>d9f~Hh=~F#XrVWY!%s`+sne-h`6Q{{&dH3gCDu`R!z$1&kAajLD^6m_GIHFGLv`n6MiSg= zH{3bi@DAWzip3%zF=q2dJO~f#5zf+@MNfFp z0wt%KZ55Yl$y+evmaf30>#d4hSR`qVZZ7*hj4Zc+ru=BD#Q((F>nYnD2d4GGv3Ngd zHI>mx@bKZol}cqx*N{Cq#XIo??85WzgJ;)^SQPvF`vsnF=rqZBDT)TdBn10tmIn%D z8#)l>R$)1R=UK-zEUiUxB2a3eV(n7FfU+f`T?AUI=K*>F+F4HkP64?OeF5PfojC9B zKO_Vaa7t+CWFtEZSndWr6KZf^f@au8Q_#yZiHUxF=FZuPeZ*b48H>f5O?ho)X}Tn& zvL!<{>9)ztU9%xjstxJW{>_y>o2%DH41Up*A)3W40UgBkD@5e@Oer~n62u-*^e>2 z7Z|FW``V`b^3-pC{7^%74d$Soz@)$_v$M0sLcUzBzIrEBZVX8AVRsXnq8k9utOQzz zTF(=X#Yth%rL41XzAKOVbOhh!zjVU0c!z?ac>e(88E&R2Zg5qtYU&v zJRZOaIQ^DY4slm|z3mi%ITQ-v=65g{WGJGBT1OCpgV+MA{W0|SD>|ba0YRIE`Oxrb&2{7+ z75s6~oSNAg%h0{y0g`56Uc^wp8{!PwmOpMNb*)(d70Ogy>b`U=P$_=rAn=u)S>&ePF|o%H=ZRH0b(R z#cr=Y>6;ShELW;i$)6uF#dbtP~av zwE;b(IYEk#Ro8BE-eAiS%~qMzYaB14sKxBo9i&8a_m*XGG0_1aF6PiiOZEB#kQNi| zk_^RS5evxQ>m`R@*X7Z4Q-@;shYRg+BTJXL0dD-gG)V&H4WIuMj0W&vrMyN-@ey+7 zfBWc3hIP&F(4XGk-p*w&-kH8lOFDlXc(z4ZDU4o;E1WXj@h75xkS0N$_oB=e3xoza%B8rlA=J7GFlZt zdWz)$-R1lu!wI~y%FvYSC@x7D*|L{*G!dsypFRzW(Vk>lKV&V!JPPpQq>I8#M8q;kej-qSWy&@1W2?_2ZZ!@IuD-7v2 z*o^GC!>aL`m~zt9Ky0%pQ$*}E3`HX|16)>$jRO|ayw}anR!jf8_e92q2eCh(ngBfG zjlTQp#cSRO>kk)-QfT-9%tEV_l#6S6vrt~X6&g9yE@eT$pTL6|&Rb94_Qu8laeawN zS2Z#9dU^`Tuo&ny?6~Jaj@WZdo`~uCm zJFjl-1bJ*YUY=9U=9uUKAh@(vXs0WofCOW@M~tn4fA5uo8=bZQa<-(`>l;QhZ}~D~02TU7p-meu zhLW3t<_xNfCI^SwGCaIhM>!*H}AYYI5T3A>B)dc$U zotIy|B7}SPkJq!MOond9n)BXhFXsuYyz&iG(-__dHvmNnZmBo&hFpQs_QZw(iAj=f z*EmT4v39#;>h9)rJ?Ew^iwtRvyqglWo!Z6JTX0s}>CZK5W2O`sSRv4>RFa_gkXlWm znr?y7y8;e3_;;y~*qb(3IU6MSZhsVr} zz%#H?^la+ntwhX`O^)@38P?+o4U|_d1OB;w#h#GnivBVq`rT|)a)oy{FYB%H8XzUG zWDw-yR;y>-)XlmA+{>{HZ+y&ly~!HYwHt;~h09Vj&3QwfU_UMR9NY2526=yw z0D4IhYH@btK*Ed--?(<|P}D1k9(;v>(+mv_!9z`q_7UZo%Sj-A65*DkrsTrX!0C?w z&b3M_ZdW;fQ*M#19Lq2?!{Sabx@x0K*XAAQj$X3f|Lb0(x(z(L>j}Y6E$H~l@eZyLG}^=1V#$-;7-#iXB{%@vZqH(k!3f<%n44RnP{6o5RNr^|5G4|cdnsXE zc-}SejC-Q%;n_XWu^OtwM@HJI9RXDf0K9v(tO!)BnV%00pYXfc zxhY^{Z7*&UxGJz`n)6hbUt_%?0CK%qa6Pj)!LdwV;(#YI=o+_OppreYeZ|EqqA$dG zCD8fI+U)S5F_z=CK+pB-*AGU#z@hW`e6!iSoBW78w!g2kdgFG<%ZonOn~5OdcAn56 zBS>mB?TrkIvB|pJBGf8F>ZWC*hZizqEHJep&khFIU_ygVp09h2Dhw&osr6A<=_wmt-GG=t$HK1<_P|v)-0#4evk3?gL=gIBcM5nfnHvU z*4Az|(szVl0`3Bu3e5^ISw^c0%8(FB0O&HJ4|FM)^$K2qVVGZ-uSRCp4X@%nN;T~` z7Aph*g5~@?%pm-yy5+F)6em!P6-nfryN`_3yJ0->!=8VkK;9vlc0DL}ZJbg!PxbZ< zZEPTFunhcew0Liyh^7nAy91s9NW5MzIxzt}cOc3H&{a%=^J(owQ7mv}_$D`Rs5KDx zfGF_U*E8XI0@Ix92;6rNM7-rj?~JOooMo!;6F`Di&o#0$a7TE9hOZXJK6UC&g3LAB zDNSHaqkVgG3SS%?I1-Kl81BU65O+&h!uPmuyc z*>?`q6tnH!#s~V8;>`JXct?&Oa&noWzJ%BBj}Hup(dhS{fBs^&?1{%6ljOY~h9g^b zIg=!HwUxT@q7WK`Ybv#j7)X#54g9>edJSd@W6$9`kMbb{YQa5}F zpbIJ&44N-K4vGX!gb?f{;RXaL=NCCCM3E#+C4e`@u%=RLl~x?vVYM93F=Tr$e?2_I zBkxuF_LdD@4tFoj3IqasteDl0LlxWA)x<$4b>Vq;!*ehg?8NNChmIpI$FUS6I?@o3 zE#P(l&kkX?Dr>>PlR%y6Hfi<`90qLA-9#1xmJTRe_r^v5B$}CNKm}lq@LBNp&@|6` z-LeY2FA5z}%4>oz#`$7$VG*DL2%M=jfWx`I#$vd#e4Y3D!%-?e6m^ZP4#ChaLSMUb znXb5&ZQRza*Xxx^rCg~F1kCUM>(@)F!0~R3ubb9NZ7_n5^M=by7YWCfV&h!TQ5EQO zeT|_zmV37$FvFz)VDPCsandkisC%x*X^gyrhDpRQn;7&54n}0^giWtAi5eOu(ZlbO z#vTpy9kdOlo|*#fAvAKj9c;#dqGOu|e1Gz^e(b4-l$Oqv^8n9QJ8k{q%uI;qeGi@Y z_w>|q>D=PH=CX5U=E__-mGVR;D28)AzM3U5G@v!|mF3Hv6oHY1|8d?3=MBR1s`V@! z0&@iTYHCf;qFmFr$M21f5H0{`;37&jL7xh<-q2AwV@c}~I-OXxBs}~qia#LLCiftJL&1G*s zBYEl+Vb(H9rJPZ#IYO&8NaE#heWO8c&;O^|h2ncGlDyw%%g>37ZdVr6rcM2=a|^WPo1WY(~2`b(a+4XTToJqzw%KxU*~rc*m6Q-jX!SfrGcbc{J?D*& zF|6orJlk&Ym74(0a#N8wBF;Wghaj@9ii~!#NBm>nh zFI{%p4rPE$z~oF#uBUDRYmOg$2fCgCzR^N(=H;uCr^bdKI!sW4oA8+;a+tey6SG=(?DLzJ04BI3u5oN<#hk!G<5IDC!c)ox#zlK@GUjmjRt9evwWXV z@x2ydmp$(e_KXh3fXblzcal!OK7|yiYCxR=G{*z&bK|CbG4u{|sk3QRmR|!TXeV$E zu)L2IeWp@(kwB?4V!+Kp1=KY&ZRxUOTWU4aswDMhp}KO#4ev2^!u8Q60JPwH_~h?B zfDzT4$8Xx+?3x@3lkwq%>z7TEO07Q5lV=YdTAQBEHJia`)N0$Qi`i_$G-HXr$-}+1 z^;d_!Xn7tqTK4CMfXV;*dH)3zxVi+(iQ z_;RBx#xQ8O24JyliS*zTLUbR{(^hF2IvSgNA~JRsjmd7(O<=tg3lJL#l_wrLRLSPm zM%C-{Q5^5&QnY0dwc10cPs3y^tR;)yfG6MswdVP+JoDNM6@u}#Ezdq7*b6wCzVdgx zn+Tn06<5`2s*#(mEWHME#Cn4+qPnHVvcRoD6LNKe(4f`;l}iM50cNC~{Y~=syA`pt zTCTcsm120RUDQ&}FThBGLI$^RtB5kZ*{Xz@I?FN}^b&w)^rwSiMB()yH#B#nSO0yE z(3p?5D zl2U7F5bLhZlja!S17O2?f&c(sU~hn< ziU!OE<3(-Spg1klXxo?E-*fOb%8RA{gXog0(!MJ&Qrl)U~pidno1>e zxoB@M(A9;R8UMfl=kWlIpFA>X)n*qLWlrjC6&HcQyIbatBgMwxgR3YQ3d3-L(Q~$^ zS1By$tuo+C$G;jy74qOtt!Ug`?rhX`ibWFZqNw3?7&><&R@ZdHA`|EM!E@35kHJyE zP36MU=%fF}-*?bWb4?J6TUI1akepJuJw9oT9y<{18;lN5$aO6}H{UE5GB>X5kH^oR zI%T%EpQq;+)x@x4C{O>zw-y#Wfb`Hi-roagU7CF%bN!!O-rO@mGXiv0DJScxTi*CM zj6a}nGc!|~dl5)>+mnleIRcj4%r63HlMLr^lWE(aIl)tDjRHmUtl*R4`&^1pT7hnJ zVxVp0Xu0~9CurB#A|7jl5(8s}oAKx-)`jPeA@sAK{p^b`zIfk??@rB_?qt2aw!FLy zqldYM?&n$V!t*`b_VGFQ6+DN-;mwZ9gr(IqlJ&-#`2`U1Knq>WR-1stz;tax1&XZ8 zRoCIjaokj5h6X@hS-uRy-LZj^asaoC;APv{tXzAkp|;J=Hjrl9G65}I$ZUgsJHyGW zq155ZZeb-~nC64a)5T_fe)!0Un$I8bdn8E$&>HOR)oZndm6dQJk;&(K$Hu5Ok^yo} z>>u(n>G|oL+-UmRycw_`vzWp4i!;w-tPzlVDl`Fn(L=R79xuo9=y8pYz2-j!T9v!M|`iLlG7q^&I&G7aA1;J#aLj8lZA`^dZ~L*OhO(zqxfmcz>T! zzIyCjZ1mL8S|%%cJ)mBA0)asPK=#h8HGOStWJFO_nqlD5vzc_(CjRv=pUaoyqAv*A zj}#l%nuYAOe+Gqy_s0R7wR*Ohn}NXuHOLbhfZ^4eMG(F2*ouBnWXKJTYnFjVH*<5K z54ntAZ^2vuvxgy~C>G|?wIu*-)3h#^+=S{^6|vKV9m;sBbi)v6BfItl?f^Cb=d4FzFt>x$)Cr%8(C0S~l#zPxl%t)?xlMYEnZ z9vGY_WT-X3a>upymN{<-OIo!`tH9@sR@G1%hT3eEQ}xtsrIK+GmZa2bs-C_L7k1&_ z)PT=rQ+jUhc8G7C85<$nBvrSpXeeaWYA?U=Len%oUQaP!D5TQ4OfHu%2_8YtU7dOL zWt$N6MoyQDj%Bz#^#p*vQ#7O2a}>k69Qpre?>&IrO0RQ405{_zXP|RnGYyAHGb3q6 z8cNnEI!IoPy;|8%R#|KB)^piaUfa9-?5ZbQPnPY~E0rAfIjv<`)>?j&ys|8Nq><#w zGvqJ~W3$;g0%+uXFKz(#yZDC~s1rFPyBj3$A*%}wpzrmN?lgGhnx?73>aK5uY$bd4*?GNQmW%1~>J)ld zE~SimQ}v3GSA;f7jZqA5u;i9iL@`{`Nco)wvj=YABZ{-*O)0;O4hQcuhEG$hHoDPJ zf#MX+VJv|CUaG+Hyk#RTRH;-)v8+aIF z_vi|EupOuX4sD!>vRd$_CKu&mqFzdu6BB?9fVvU?)zGBOG_4jHt-z=`R?GMK880i< ztEIXIgH$cWFN0+=b{7bDL#d`#$`jB3pwCNjR%!Fj&lTJ+m0;HvqGd&_mK?&jVcaDDUu9Qd2f77kHbd!W?Nf(EXZ<8#Dmt zQX!5J0aPwVk!k(Tes4r+J z%QEq6mwO*L-oGzeUb&c0%e3G{PpDE+DW`>2nr<;TSk25S)jU|F7#iVX$K<-EmzQaq zMQd#~x5L*v^MYY0Nl%i)(3H)hXieEM)(jj89egj|%FVutHjn<;e{_V$0D*uv7#U(< z0MD+h?ZMK?$ERIAefs57AAg{4cxdR-l`Gz8RJ7aChhP5Y z55M^Lui6LR>I@H}%^=^IsTXO%)6^s?KR)bhjQ07%UePVG)k+yn;_&yTud54VZ~M6+XKdoN5jzIBaEywx({3#mI@3nshHqBF}uGH z=8+KuE|uI=&B0kZPmOmj{#?!|utCnDnX7)ikbO$Bi_}#O1GB#$a=q=Cr=&X(di|_3 z;kjGfN90uQX7h>cn_`KgsQ~E>d?U7|tTRf3ZnP4C(X5f!8Qe>$7VO?$5L3f%EPA2z z0Rh$Yd@Z{GZVEsGb#6swHIz!WY3wtXL7Mvmyw3&R*{szhmgPv_01?66DT*$Y%4%Km z@J)kBOXXTVnM+I?4fFNbtWC+{d~UoTW#*3V>!oNTifv_OCDzk(Y`C{Jdvz*Z;{8FO zhq3*g%X)kJZ4}!()^AgnSLatKd!$|feRQ!7pYc!(Z{!27SJIQu8%aE@R>sq>P_9zq znw@DzBTH8)|k(bZyhpq}{;5A6#_jH1p9 z@%Z5AXth%MuYd8KZ@yfySgF><%PVL9zueqe5OG#chL~(m(4}g+EY}-G`D(gQC=jL4 zwkkYsr^hLP)K+9wsbnx-H19OnGw-BXJI&cCiow|7gWUHPOcOr(MnTTp@E!kDcr-*5F@73elU4-u1eP|P&H-N@n zH>Sv5>1Lm@EK3R-Lz9z3_ZxV?bXDQPYAwf#eu}e$PE}GXQ#9^d^wh5kMvE;VXq>fwr7;&58<6a~q3L3@P)c&xmA>~%4&y~~5 zyu;6Mg5VoCGcRAceDUzG&*^l|&d$bSF`8jV`+Gf=^yTR}DiBsGz<9+K3K9(z8jSh< z&E&N!g>*r1hm~r!nwkN1u2(Xx;!c`o?0+vdwK{G0Se(6@RnRRqt5)S%3b$~&T(DXI z%#jGlx|3sQ9b~akmOMvX2R@>!MliOGqCq{w2Y*bJOGY{{hAS?er+F8yX|XbTbzx*g zI{KbR1h;#6{Guy72rP620*+vG=FE%wYybYq_r4<(i5iX;UC&j@byfTHpFDLY?zO5F z!5glZl8dkWzqQi*rX{yQp&68QFt3<g2A+g zIumbpJRT><(lDmr(B_igS}>Qo3J$kc4yN3imz$j9=oTcVsE>a1qvPY_COmhYbDIP- zZLtEun~kXBRwk@kt){n#Y+L^l`&yAIvdv|sI51;?Des9I`>8f#KUI@TAjV)|Afj?^ zg%y29u1ebQnyPZ8b;@cQWPlVtnSjDwSEmMN`(ftmWC07yCU;%AySn4w3IiLcvkqGI8bdd~($p2mv@N z**s`;KAx-=GPXuKe(?vo&e~Wv=kVG6{en9Rf@r0g*wLR914BSoOS573#u|*1?R!+_ zVl~Amk!fqx8Oo-rif*Ng3YTyCGK!-adAP~A8cJ0uulh&c8b0`hyXT->Ou~*q&rmFn zpT)#ve&K@OUwiny`vxA^-)K@=UCkxpzTOc$w$^A$i`U*l7k>KPkJ2oM#ZxMkbWQpG z3n%~bI}3|am}i+Ju$h=yz~*wfe2?#-c)@27xxn+dzo>9gS zFD@=(g_`iZu}5on8$dE?Z}A17GK_kX_8p2IN|x+H1G#H00V39_#RlVU=!%gove__l zaMr6(`i{sR*5L;v8^>ftuTdP@8w2<`!h3XsRrA4pj|cWX4y9jQz90q$MSp*4Y0|1m zcAjdxgU~{s&)2CYNca_W8S%YGgKnN`Bp1eW@hQRA3%tw}s{i`T>CDpjU{4^E$*!!d zBoc{AwHj#37k=<>@qDF0+bvd#VgW@?G0@`-_D4qg2M+cZk{JsVVt9w8b>z2||1t~= zbH(=CC{8LQYT0?#?zS=Z2JfrcJo%DTEEW~_0WEM`5qiL_@o2O`yH&98Jx~0afAsA} zzB5a+oR|=NeMVfg)uz-{C!1$$uk3mF!QkMCt>ubWWl65qUExr*TBW8>e|*2s!%_po z!?9RwU|@i@S-`?Q_pAm+OY{w4^p7p+}_f1Ifrij{MRLW7Tj8 zyWr`u`+C8i>*cg7JSzD6j5ubwtksIDT$XZ+vBN*^9XyUVq4dkE zQvgM0c#l#}v(;IaVcUEn7z}P$dKvr-R37F+sa&>m%-C=rqnF~dmu=2yaOgN67`ZgH z44i(~Lwon{-yaHvqS0voz~FE!a(Eybuj+jNe!I)TZ~|p8(Hzb3kv+qa0k4$4noAZa zK48)7XgPSKp`$bvpxZi^Jg?S@WCz`7xfs$J5A6)864+-!^z}M|Bi@0dyek-a;Qewb z#e!VYG(b)&tT>`$s;Vpb=>xH)_kSSf8am+a8(O}6L01%q-!GL)ifU2h%3$WoCm%f+ zjm1{t@u8t1qyBES{3n0^^fzBg1rNN36~z3)`P9TSA&2GYo>0K&s#a^H2nRWkO{yfV zaZ#eL2zDB?4qew^dLI20o~yKSC3@%soXcoGa2kkP%Pzr+f*E0>Xp50wP1fW}Y3ULO zw0GzsJe@tz4@(O}Y$O3~G_CnbuaTFXB|!|h5ln<^Hfy<_^Z*lv{A$Y0$o%{~hO$ds z+~(P;d!9hIouDQ>ccXpq!4H0L&BnueA!#K@ifQ5<#S5p?dELIYunesznrgG_^@?}! zEnrucrmod1)r`S4b){;Yp{g5In<$zCv&3s~WybERre~FMMy;1?*+pQ3ksz#`;Ohw^ zb7Tvf0X80wXTvjHgszd3qaLpp@DK|4LoPag_4(xTtTQyq362%n`@-345m6Z#>}$=! z=F-Z_Bgc;JcUtEzzm^6wcRDGXrI=W>yNt6{fTh@;0k>PpFHM!QO7047Ia;kEF-6TNTwAAvk zP{`-=pw2Thv;XIxJ^in*#yzop(3Xp@ezUrG^5Bqv|4>K}c#h-kb~{D{pa^IrfdcDC z5E>sW|N1%Xrj-%--iMpIQmVJn`* z8MIiNBy-Ba?h`R~T_b@l> zY>5faYX!7*Yp?Ro$dxNsZsu!H{iJ>($;AP+%e17uj48ku6Hp~1>z3f_WktUM(pKy0 z<)^I{n~{0j?sbGl@Za6{pm*>X0L;^Sh)ou> z1ez2G1fa{>!H_^xj_3QLp=Nn$=Hl~;X7NS_6)yUNbIZl#?9qKaK&gd=g}%N%hr{`n zp_sOOZ6=wceWBdKRB&LFVklj0)N4{xm+f{bbM2XOVoJ9-?EWEVc(fJC>@ecYE!LK! z-ie1&r2-x{IQCB9nZdKImWEmfTH_fFC%;i?LoBR}*YYa?k8)**_33~5(g*j19((v0Cm8W}3-j~AfbZmMSO3#rpPDZ_8N>gi&OG~< zE^XzZ2Zq9aSJNmL^?JCky(Jiw%?jJK%U6?(qzz5NU>OIf+!2@&MrgX=DJLeH%?87} z9FaY+t2l?B=AA||P9vL}B>MY7qk-bA;87~M-0Z6q@8Xq|laia3H|k^qo5_ANDUWUP z=39_jt=1*f$~^kKed2I9x+EH7{ox%Go(=!Tu7_Q`se>G(lrjkkhWdbk-&rJ)wl>s; z#pdd-q^`N5`)m{qCEie^7F7G32JRjC9TXYe*7A%-jZ;0FN)#l`cD z#H)-IR*L~gB$wrS1wnSfVc(DLeU zXa;zU3v$jtB{fryU*$bfM|h9nf6goj-k8m5D=uAt%>n#|a?={d-nqRp!54n`@&D!h zhmJnbpqNH$19)~m!G}jE%BnRR`D^2cl=OR#?0@Ltho`2d=jZ1Ip3kI{|MJ4bpMEdZ za17LQGuh>9RN}>cw|Z#*2*qd3zFa7m@>kkUg|KML0+Uxd5m-E`ceDAr{xl26VNToBW zRH{%cIz(~Q&1NSr)F~?Xz=P4zJ??PC6$~-Fy;jJE`y>7P2lgC}`n~09YPwQ1PIv*u z@DzAxPv2pq@^M3>SfQ3%vU_{va;jd=IC~Dsbww-1`z+T!ex&~6N1c05JX$MPGWona z5CD5sWNB_8A{RrI_nK@oO|MI>UQt-T{iN z)^gdIlVWgCtreOLopS_g*(I%BRiz>YyQEe$Dv9Z;%|-*c?SVmS=CXrUTItMR57jOd z3M5W@b#>KDXK_0s2tqfUXzIdDDfg0eNm1?f=X*_f?uvb#TWbR}uaOk1b<~Pvo1hFdMcIQ1Q@14?Xe36UUAoec$5`pL_mWlQT=aJ?;q*ydHZNzd}=aX*IAd>NF3d?lv7K=-mt|=gER+v zg2RUgToI zu9s4PWaHd9%^GRU1y{?WQZ%_tb7DC$UP;a19avYeKg8frB{glO*?MllV@VN10c#s0 zl1wIzQ+A4yPN&V)eVf8@oOuq-glCgI?~a@}abj_Cu^Uo`-P-&B{#C10lJ%loF5@*6 zw4!Pjr6@NTXU_xVbgz_KGO~`?JxZ-WGd#^ZF%b;(trdW?p8liYosPhOae${T0VlF& zzRc)lFmbdB)OoX+M8dhZ=skeMCqMZ~z#d))0)e0Y$@fdi@$di3KhUlyFS-{c-}hd; z;INkVkM!bRXnZc89~mA#HrONN;#5H|ke$3-~>ybSl zJ8|@9-r0Z1m*3+qx%GsUnN#YLZlM-m``2DS|Dgl=|N3Lzk3R8WZ!7}X)>QS?$;sfz z2yooz^9B6=mFelTFQ0PB(#H=CJo4Z{x|O3~c6N4bY^+i)eBsMaeev5fWsP$M`{&O5 zOH`lu+yDCyKKzp(BI&F>9?#{=mjQ&Em6s+lSs0Yf2sG}6Q3I^%a)FK>{aYn}K<#Z)^jS<|g*a2vKRVskAIYOhHD`aUlDi^;>S#-HxhkDvD z%eQf~sao}Vy`YJk&1`h+;NalLKK8LT%LE#oIPv(Ay}dvD=f7KCUh#$pRL1|@$M7j`*ECk3-eA4H11B^IFwm%^XE}$Tl*A~lTsDToYLN>`;IT8d zzm}e}+Q7FR*_oGBxr`AkuUsnR@}+VabR3XODqEWh_f84yFmilx*Xf<<+}=Lvk}V9= zxqVYM%g)&zL8;&W2~5Ev+mii!LgJ{&7iN~0^dKw%QPs4C z@$u@y!hqjD+Sm8kV~+vbu3eje7A_ZaKYaP}7ye}_WgDQhYI5qNEp_H|zy7h`{Ec7d z)*WIF1Ok9(k_COU9>977LIa66RJi2iI{Hzn6lkvz#8+IpXq=pi?z1%XRt*eGEx*jW zqxt#M7(1JhWz=8GE~rv5H*=Dr*hV#zjZdkqQ*Gu#-VWKUh@2_+l5|6K@P=S?U&HgK zKmFjzeIDQ;O(_EG__WwIlEr3Il`mHdFb>Usf2-f zf%m0C+)6P^Pk+`y$t-UtxwY5(Z^^E+-|ydoJ3^dJ=P&)zFKq};VB{bEi4O!^>`N~^ zXB8v9-hDNj>zOmtXHUNp?F+>AjPiieaM&FVNBjFCe*b~7v6;!qR5mM!qQG&WzpIHv zkmmu-p}Q7XeS=z%*2F$&z|JsV)F9k5x@V~ z;lt%>HRy17+-|Se+uz^6w7B@2pZ)XiPv~lc(yOVJ^WWL$DShcr{>zDXy=ya57xu@6 z3l}zYUlYMcq=w^$yVNAO&!{+}lpK5C$B3SlGyh~%0yPd$)s4EJyt7_fm5WIu^&2M| znPlV&usMG2pTy9JE|->G`?jfDw^dv&S9cbHHf39BYnKqk`x>5Ke);8YpdC=(fQRiU zR8Y>$yP~7^;7D=#BJT_Wr=jH?p%Km%(pA|v{IGG#ncuTe!+l zRzi_QQCtttcpozfu(zSwBI$2H4IgdE7LR@W*wJ!o?qC1$FTno1eGk~Zy?I5LOlnR> zK6GG60B+fAk}PMF$^8cp#`^l`W^;aGB9qO+XaF>Zcs`X*kB^Uo#6S4pgV3awR&^}= zie>{EdwYBFHGBcHe70CDrqkYL^PwY0{DA=0;`I3VXn#LzSP%MlpE>V_S4DEP!X8d8V_L<@&CG1%o@Uw^2y-WhjMK-Vnti1lYis z-PdP?a7XsSU}`oS22Lx|;;Db&oFN0_DHfk zG0s4Jb(}65F-OGbvmTzwt}`HT!>Fh>P+_|N@-P3g_qy|W!}ai$uYBdj7hV|b4W;I< z#Ah$_u8@&Y+%dwVfXZl`mozn`&Mu3o%&@`V@GVxh0M z_wbP;op(v6(`Z|p(Rw@{k>~&TOJA9poBPl^9^1cXPm`ixk;#fuNF>HaM$)O(Kl+=e z|K^2CzFhM}M@z}6#pnLph)*9I?mK_s{MguDpRs|xu{a!#g@pwWcajKwGXf2kjE7xA zph-6x@ND2NRau>8qHpn!JY35zuyzmcju_GPzFrIp%{lD8UPpMWRS(0On>~d;udYs} zr%#z$bqB=U%fIKPOHQ|&X-VD?FtBb&7G~MzuztzNNm6x0_Hj->>+m-;MJlXVnilZp zT4v7f?Xl9VCRYjz=NP-k)$>5*;@4=kU}?oCqgCjoP7k(`yGl_ojev+7#*2{`s;Z8S zjeYpTAKnbKKx)7E#Vd_F>la>l zp{J(@7u>9SVZJ>7{PU!Xwm|4Yp+NGbZwSxEZ)%n6c~}UI*=Vksnh`ukRcR@|Qc6y` zF(|2NR`kMV%1pkf*DF$fIdSp3rdHh<3*O8cX3B1n_}hYK;!0h%T{)dlw`*E7_#Z3eflUG};?Ey75sqnB*eEVL^^zDIu+j`BE6f*Nsb!~LR4Tbr{6f8K z)@;6yaM8@Uy{$a0OKNGa=V`ago=F5Rln$W!E-Dz_RVKv_1SZ%;kChP`y3*7&XJjuB z+KA$|*%If!)5?Z1q^m|L;{0p>NR?--Ho6m@LH;nZpn4=Xna}3~uC%L7cVaWCF9}#Z ze*F00;9wvSSRXq!H8u6w&we%@kK+oR8V9euF1y=qOROx*wW=$+*VB7Y^!LhC@Z!XZ zf>#fW1O{T5XqMI=0kS>em|z#VNNk0&pS?CyNhj@=Mx|VwSuOnc%kf#)h|sr}7wnoO ztCiJ2Ur$4~@FFKhBCozS_4j}C)O68QV$&-V>zxfPbW#6diwNf zJpSRshu1?dtO4{=GMOxw%bl6eJ9`G*g^Re|Zc_Twa=l~)-fw>y_ff0qre~C~duYyH z%Pz^qgpK8C)?s9JV})8~E_LPm7#d9~WTsv*wdxKCCUBP=dN$#CTl=<4B9QK+a~sO2 zjmOYXxGt^^o!ccI<1GZpk-nYt+*-%1~^BcvN~z^_p_p}Ud~8`gm2`n zV9&1D0njxgdG%{w=2^Oxi~99pB~_?NZE26kL-I(I))L=ICtoB<#D3|Qe(C3a?&mNQ zz>fh-Bw~xmsZ*yu|M}08gyEJABNeSyk!cijsno(%OH&sELli?>G^K9on>=+w8hn=I}{}`(RQc61j1KRg|B_}Tc^esQ+*G(50sr#aHMUtwqx6zWMbQzOl;e> z?TKyMnAq%eY}>Yt$t0QV{{H%pchx>gy;bQxc&hqcdhT^!M8~{=tMmXQ%*Th1G1LjiYm;LXerixwG^A*?fsT zl0-o+zbDG#Kfzn?S&-2v0)!wtyXb^}-92R>UkUe}(3KlTv10r}^3-=nKh+evWHP8% z8y8-|dn5vj65g`p<%_iNax*GJD}v$M%&Do@W#UmJ4#MkLF|ya?pX5`IOwJA0a#pM- zFMo@rUqjrYLd-tjh%Y>t+D|HVM(x#Ooijo>qB5_OM-m_Fd*1=QfNgF%>WVEvSS`zj z4!@{vy@q6A>&DqCRif*7wg45)-$!ED#7hjFE#DY*SKFI`!hA%99?|hAxF4 z@{_?>pOBw-l8(th&w(*sN5=Wu?zb#FC zPTN*x`xp#==&^IC6AzN)>rj{OXE<@DxBa@*~Q7w(i;i_ zc=#*Rmcb`l6I{L1OtL-yUia^3Q;bwt&}UHsWS1_>bcEioxDEC7FtjX}Hq?$xg7@?2 zPyg}$c>dV==IclytP(9kUpw2s5Uwa-N0q|s{Xo$J6N4b?snC?E1 z+y4|EuV|2A83x$kd(I|rrcp^B+tG)t328jJ%mgk=$aadCWslkx7WVu>676LrnWIZQ zL5?v_w7?|c#JPhNx(fn1Xc|H%I(n%lI?4fhKPG$KI`wRoY(6t&%P`iLxwQD}>8q*` z8)aOY4D_%C8pCxQt&-yo7UADEDx2Sm7k3^tSl1-yyIYTwm?`Vyep9-kV72;=_KFEg z)8Vw*VEd!-#G9a2a%u{xAve_n2BZGhnuo#c%;h4NENg)Wir@&snTLLL2CGVSM#0L( zvdx2y%|n=eRxw47SsWcT_=l&p*4eZc#db+6i)aIqXU7BH33VlI{P*y09n`8FrmY^c zSKBOb_bdBvRE%sY@+naLH-U(r?BG(unjSfH->vCA7R1zTyk$kr^M1B!JRt*zZ*C*3 zQ9{#Q5m%5J=fE>Cz_AF2!o9e;64-uy&Ql7m~{Ls3ROrR^#K+zm0 zow;&Z&iX!Y)=K} zbzHWx0VX9ok?SYkLLhq=F8_NWhQAC$&@V-iNe$VNb{KCwnBYZ3?`oRgecF zGaOT$GGi%Lbx3jN!2-07lMBkP<|5j(*t1*9Az?~LB)|w91bN4i$pStBP5n$Mm4bQ` z{>-wa7DjF#e@KHAUVm1eUt<$r%qg-K1`xeqSt4oMkWKt2I@HfKmMCjW{vtqsLOTzV zJkDm3XoL~EL64s|A^>Vuivef1qhz`2x4eENOFKPqLT|GE7_;Ga8m-Tu zz0?6+wMMm9y037EFL1|CXxIMTa5IjK+bzFcz7atA@72ODT^}1s5oN4~I77E%j&YBu zaiC$Qs60wBc4*12JrID_wU{@G(I!!2pX?>TRF;w5rK8uGoaNVV(u$qIyo@;6SE*3a ze|T?atX?RaK*W3S`tIlj5GiWt>gs}dTyeC3%rPznY&&E^XMPJ!!FMi|zZ6b<Kl(NRQ7m??K$DBcZt76fN6k;23_M%2-&RZ@o4ny0!>X!ARO6!D6+~6FDeJ zE7awFrmIQKb+g;W0iY4<@yb5{3{3Q5zaaCpH1+GEj|bYi3xRa|&~b-mg)y;(3k!LqWlzN27T9r6Eb zA@$I*&J^7f-R8pJCQ2qwJh*7J@kwueU%;GY>UlEPc)Bm%w6SheXS{c{Gma?I+yxnS z?oI(gW(q|QZSioBT&p&mE*L)3M)<56NZd<@Wu;J*AbO9Sya3?tVYgC6c@>+sT}?qw zO+~dzjfpB_K^2!St0ieM#DN%fk+asIOpDe3`t4~5q>;9+A~JLF|LKdkmt#vLKw*Im zhfLfu%*C4y#&bW7R|(3vAt52Qb!`?XeMlEWkP|k>*G$paP0bZL_@?CtxcM8y+JDQt z`R$Pn>Q~1{kW>HYI~#H1#1ysacYL+7ON{3bkh4wTnP}}mRTMeirc;ZD046H7agw2p z8Giwwl{!^tVW1;qjWea?^`3|&d_blI@=kB^GAwv@1&{rl0Gu>_UyQ3}o$WkiaoXO2 z2Qo^YXP-12fr$%miSZ=8{LG$)EIp=G3v6Z@#Q2yI z?LZd7XQ9(oGAUr9EV{a?(;5Uf{|1YD4O8gf)-~O0Q3iw2x5B;m;}G)kPLX&-M4wd< zx>ZwT3yZvx40*^;HSqwjzlPGNUQqGGxujcvKmV4d@om(ipibl0U06Ty6Z(%Lx2;6K zpVKjazF5J1IOk>N7h0{~o6*>Dwx;XyXc@PFd)|3ec6(FD2gqamet`ZtWho>&;}$Mb z#I#ia!;(UGz70RckA~~PUk1AYgRjkVl)Jz*f@e=Pl(*QrJjczy`tM|K-J#ual$Lcs zKk^sSnw$$iT2Qc6g=+s=3a(d5?!|XWl*o%A0`igD?PLR3#dg3(RknVEa?9Q&J84mR zX$!ZCy(2o71cds|OIthekodL(ANn)S(GN0wKm00dk4R`6Er)Rx^KZA%oIIytl~fZ$ z$3QSQLiAJ{ihao^7P%IqM#+u|aDrE~W^mRw7O5PRr)Cs@v2W(h%E;<7azHHiGldMo zXtCtd=?g71Q}ijY+6z06(+uOU>&^Dt@b{Z^4e*M?cYnsE^X=g zGx9x9%k6+Qr}vB48i!bN=V*)q{4Vnd(WKS(3)g~oB5C2x=_sB^L?-~?K;hg8<4d-U z`MdAy4Un_Wy@CP_4h>_iwa>2e8)Zmw-YIw57Jm(X8k zQwRQ#3gi|#(EamkeZp1XosVk}X`@EVOxOJDfcc*Z4^hwlGiDUjp7)`B8V;8zuY-q2 zj2|qHTpJ}!Z&C~au9_|H4F1wGA4{f5hsy!o9!Qz!zSR*h}>2ukt1%!RgqS@;-K+;WSZDR_-+4MzKbNQ6G@cYencX1 z^_$Y&vp4>4c`{g>P>?d=nWShMd@I`?uC{KgB>(nFlFbokRz6GQ{A39wHi7V7;e0!D zKO81%YrCvC5S%ui)1_i(xM-3zc+-Qw^)Y~W(K&epWNut|NdG=SoxrqRZtuecJ+)%~ zRX4#r=TH!m+{VBUxgN++QgA(()C-+Py5{&q6$QwmS`C@IA*&s2`B@v8X$iu74|zJQ zbS8+*>z;tl78^Se?wsS&M&4RY)c{;e+hhIj{UgF>j0%GL)C6Fm4vyJw0nuq+Lzs$N za!w?Lk!}MPKI!J#cq9~As5jrawK@%^r-5w%%n%N1fV|Ve%|IMm7SeqvdIsJ)Rj2|k z)OVa1QHi891WdJDc`BuYr0>PV=Wd;952z^PP0kQG z3^|NFC?5e&^OEg6&zrOqq0vX&R<=ZN{o8~l>{71p5@tCXQOp|F{I>`vr?XHm0u~Iu z^7};KwC%YDd8K$e_}k1d5rxstx`_W4?P$HH1Mj8;W}P)+6tacmb3(R6pB<%?#;)%$ zhj4e#Lye1VF&I1Xzqq7cG<*N5V=%U6p_15xMfcXlyDnyV`K_J~$6pU83uza8&+HcN z4Z^Nje|Kz8wDWG$1&k0T&@Oq$0OliiR~W%EnXj2PvXpOf)$$}M?lP6&t_{bNDc0G> zf|!z#a$~(7eZGBvFjr|i${#9!Z{K;W^JVX%HqIY4_2khDHi}4G{7X0zmNXoqevjCD zhZrQh7oPFC(%$p@U*zyB+rT)}W)OLxPaRlU)1yn{Ys}ixS6voq6j}F=AIlG~OV_Ad zv%=}_tfZGfu@5Ag)?wrV8niAjh&L}!<)#{z^Uh1K4*%(>&G(GXUAD2^4Rbo<^qu-) z0&J6WX%d8I6uz)7zCU{2+S&ruGkmrIb~JmxKr+~vn3$Y5!orG3^1KdkY;C5i)P*fM zqa-)`?4%R-MmMiX{@v~jKfBGpVpUZh6^HG_aZ9`t*Q>7!!YLm;IeFy0+Fm`H&9B$# z+$GgB&-{7c`WWwfFhYpeI=?lJd7m{lHWqxY7i=GxHIyCWejfh#cjy@Km}4Rvs5lfO z-kkxW6v_wBKCi{z);LE&ZsUii6V?=S;`P&phvy*YVQFnqUf!3^G&TZ6>Ml>45OCBuiQ&`$0euVgXqpO{BV+JDL;N z_#dwN&q78|ODl6|?qBkM*PJB#Hx!zR?;g52Lj2^Ojzh;lvAp)>pvHA)cvTOTHiZa3 zRUYTBCEU#{^;LU!qb&#S#Cq35Sf{m@_2k!|mEaVGQC_S+e*EC$>oT_Zed~YgTk!R9 ziWmlQGG*aIlGwJt!g+)E2iDo|a4}pXMP0fT%Fh9y52mkhJRv`_ymW~*$jvE!Hzf8Y z%*npH#5p)psJ&<5{MJ-fx!ApEQ(~o{R>i9ack9~`PQ%jOH|Y*kQrE7QXid(Ia|MBbJMyqWE3NabZIDz-`GU%mUt}p%pKC9G`_kyq7PeE=0Xm4Cu zS*=^&e{*uwEa{?;{c}B&=%Wc$xBFPq&DpTS5XTPtpb#ginI`@H;PH(wDXNd11tUYmbef!;ybmvN%#6(&H2q^4m}yoA+wT1n(+h@zp5DEFm@+YUX)h5x9Y`5GZPbqJ zr+UVyTGS;zhCAU>yJ2Uut}<<6N>ByG#ef@!lxN};*$OxoDbCHFPs^st@Yc+9hq)|U z4%f&)ln}w71(a61&+8;zOvse$EQ!YahQiHnh$To1Z+!zU9a#C z+)@9TX`U5|q4d1l``OLT%?;~oZedXloLBfbVzCW;61MUq@npb>$t!v&Jv9cqt_vB} zy9L+|IeONbYwcJt%-5MdCXq{GL=D;ZvtzYb%j{OFw~Ht4Fd=}M#xWD9!cw3%2y$`3 zyxaN1!Any*UvIQlR#t-Q&i}ZVp^k_F>(WX0DPS1zx&JABe!#0?m^TNX$Y^i_ZY!*3 zg;nb_4iD3oYJv_pR3~d2P)G__BOzSHtrS3638v;oa0np6al5yzoQ-|tr>9x<7PiXK z2@2ti062o_we2~{;`WGEUxKQwjl~t3nSO}`4SLF$)G`Kw=>{uQ9VxasbXfAJwP5ui zrVXFPJio`M^FHID&K4 z6$rz?$hd7pW%qd>g-LyKdOBU#O}-{)5(sFp51n;q(sa3aU28PGHftbsG5P(VM)y4J z7?2VwzdZ#E{6&GuNs8Ym#}~S!-N@x$YmJ%kZ=g@{!+^7y<~ZFR%akY`W7|tv%TK=c zXf9skr?mQ=7-!`e9220vH(hrqr|-GE4sOR_WgnVCQ?=RS3ryVgS%qM=?^kO!Za3@K zn69&Yt42+Yf=lu0kB{^-a+1^c9Rn>M(=;~Zn6y)9j1lPI7?0%KJG0xja901&*FKw0 zuX_{F%q-k#M+jeJp{xj!9}rIw5X9M_JH93jIRy=fi8cXv<`wuoj7LSmW9EB$raF%B zyFj`_%9uF>ZPCX3@eDZi1O?~yn@~$I`%@Qa0&oG)CC_TjJ|}6M;ds_b&Xh{MW)(dQ9@^}8W4du z6bfyXCR_73n!XE{qboZf*4LrPu!N|0g6{*TIt=skSti@$T845JDuk&Pp=T$k{ZsKK zAGX^+;$D9SAL-^-dz?ue58G>lIGhH^nTeLXv_}5E-?YzsoIScYQnJI?jMJOu=^}h> z>y5s}N#L8IsxPFYMf3W$jI_PY^>!NZ+E;ddJ{MzyeuWJ;JJb^LYSsCA5BVWDTbH|a zs6JN4Wa|iX+)vb2v*sg;>(x+jM|t{jXPdpPfdL3A%AyTNC{gX~aG_|R|DTdyHmJxI z^+KZnvRwM#YR$Q4wpKDe2io#=I2p{~R@xEu$4xlAmVGj;%S*A_tD})ZTct!Ku+%U} zh&=((*rgv$8qBI3G5kwxk64aJC#87#o|4{*YD|>(iCB||sNVk#*Oie_-d=zSC|8go zsy=CIu-|nLhhj;`rMY6KcM=2te*R;uQfZ_7R{}qvbJ}z9<`D}PM#p;afTcDDOU_4N1W=yvW4jCrTPbapdM|7eNEpT$_)O%E~p+0G=}W< z)`YuNQ*E{Z)~wLylF!-E1br(0QT*^|D-N=&|EYneMcN9&f^zF&Nt`f?pEEpmf9E=s zmy6|`&+!5!zGy%yCz3ta`XiGGJC!I?#^wqjHaysWWB-e3xakAEPi8cmHy$w$60QT1l^#L< zB19x4+_+av$yLNkSV!G~>zjbEX(hzDh<3zT{yo!95~#nR;fK4Zc~vcRO8KK4maw^* znb~D5SEwCj$~YrezVlBocDVja>T*6Pr_DQ(_<%dtp857_mB#EWNNkNN-n$JS-deS$ zO50gZ_iYK+Kdmi(3lDp;7WglDkexbhOWu-dw<<$A6!(cqzj2&K{9m@4x#lHH!3LMu( z8xOo2Rk}58GvLr~q~4lR)3MWXm{z(B#e})Gc8!#Bs1PqKhE>ZKAf9yHR8VCl?IO{x zxcL0)s;6yO=T2%S>n4B(X|TIezFIzSvtf5yx!YeiilXN1U%3TamI4ZOi`iwG9M1s` z1qMr7M+e-MHsqrQqLG@77|He5-7ojh@R&*5e!~!7k_xRIcCRgLexujdG|h@s7nqvW zF|Mi=y!pvH6v9E}T=dgpt28H=gO!+S9pC_fYy`Y&ifpH{)FKd2H-^W^16syWn&Azx zVMKk2#pR%f3ko2dT+EI90z0%&#T6aA$q$(s6B71i1dMeKMwVe z8yJ>Ik1IQ>T)7M~ky)CyodG>QxM+RW&d1kkd7W^V_W-Y0&?{poxk>OaAtz|J>B5@b z>xDmZ)@?W2kNOIv8k=u2bY$Vy#+u{~Qa0bpxb+r>7G;UduL^|0vEJX#-jfW_u$CJZlh{7hFXtQ!axTDeC1G4FGl;Wv1!Dp3d6Q~{HpY()X zbjRs=Nvy0aP#d-5*rcpT5aJNF)(2$an_HWsa1L`0`b?_9?Wg3wR^YzD+P2p%R*aju zxVyK0?yZnutH3ymI&9x4E)1Sgs!U)qdj$Tlr^$oglUp|y2RC)F)Jxk0Hrh|%>?Gyv zx&$27bNP7!PKVL-tM~5=j*rghkC;lO$x=bcHD$XKS~%lkaJpv zamLGB2HJqJ+#&^q@duMvnUV4Z8rBbn+62dEq%-pl`rc`R>8djwPIhF2Y@xZ_SO6UJ zHMJYrborG)Liyx&;jw*sxUOI`ZQ2$nuIRyiEle}XzbT}DL2m+RL1b=!Xs*A^V{$dv znLFd7js_vz*n2gm3?;Rfsl>nQ1v*<0gfKb?Tu+IvCXj}o+!u)?e6PvZr}P6O5#4Of2C@+FGf$RY za|;;Z#Cs^^#%o@Jr=Lb#q+Bx0m{0ucdUNk7ZJD+#**ziu_hLTGwHj!aQQ}Zy0Bik( z%_no4IP;(<42tcPXygzJ_CKI1$vkhiI?vCoALQL||01`|ICSbxQTFPV+Kk3}$qfJ$ zXt&v&oNRZJkoUX+F|j+S-EU0S!ZcQeaO3;pMB9a9nOZ@@fuTQJgYbElP}Xjq&M;=V zq}8nZ*bD2e7X{x#A%BQMqrOS({$wShsn?U^$mv=(fn<^i;_WFu2cF^{E4%f(1@m`roOLcXOn1zDAd=ar0qp2gcjj;M?P~XvC^-f94^JfE4C64 zA9T`qhrK@?E{h57oxLHMD^1?JRIm1)!9LJ4)&j$tT#k`ervsS2UmnMz_vYcv%Js%x zLiX}nCb~k~c0%tg9`gS=M7W;UPSBCwbX%9eSCmUmIW*>fFRJyMM`h74I!p8+EX_Ot zk+(pKhr0lN6BPd#Lr?l;E`|mNp+BDW2#w<&R~{BoRr*1YHTSwGH0xmbo>V=%ZtCtu zMxc^#W4vq=mKB`3FQHnqer9&o6XMY#FYsG~b}h(3T1iXLX$klxdebwQUhdGxG7Ltm zJ%4%Q-(WD!GiX|imGcG?fAD|G0FxVieFLk~amJ@-3()=i?dUJz1_2MQ^&46WNJuIi z6>809k6LsTK@%{uOttA6Opu+(b{1axmE&PhHtox~t^g6)k@_`K_vHB`b4koQST4A@1s+56Q zT{pO&4iF1x#%?ENvKe=p*W`QGuKNJao1sVJx?Nvg<;*k%k1+0Cg@#j@J0v@*Z?dio zyEO#}eID)2Xvx523Uu3dYu3TO%qT(+TO+C*-TyoZr?5HN#gPc9OJu6kjyUC+WZytS z48DPq?nNmtcs;w{?koGIR}N(w4fr`d9HdH26#aq6CIW)@x%-tf^??$rF;O-a`6gH0 z^h+X!@L)(+X2b#AC%OML$Q0>M;Q~qMTlHu`j>_0^n6ov+)4~2=L(snuCy@0)yI?Z+ z_bM(TOhb>4mdiFX%kN;fQO+}9buhUeuYy*sTHt-cR!%;OU##0Sik-QgFCQ1nBm-lC z4vc9rX(l?FmuIXDS+&a~#tVHXVq`(y3sln-ki0uv`Ux?eYo02$w|-1e%?smoef{lFwy6T2epzoPJH!U+Jw(9_O?G6N+hD;M<0NkB=>nKB)3 zxaYw}Fg1dLoU;dui#px1EN!CE489s2em7WF+k#yT4ZuwuCqy(felfRi0~lP7yNV78 z*^yee5}VjqhFILYJ0`PYw}eB}a_no^1V;!8|VJ`MvdpPnS z7jE7EDcsJC&!HT;7k`ZgqOuj^y5Yk?s~|Sf!-RwV=5lh`f#*XUTS~RDHs4x)1T)f_ zU<9LbeYCu@zFboW@5cF+R`A1=;!EXHLdg?&K^QQ!23Dt8y2Zwl4?DC%-_0-g82@m= zF^m`QqhwQ=sTONGhod?BbFY0bYEL=vDK6X?M~i^3=L!xbEhU9?qC<#DMSiv}{uhZM zjA4BSy9^`h&`Oz#yL(k;_Rbw^$vllul;gM$HzY4DN=UXGUN_Y-tj|6rZO#cc|mSA zADA^7sx2BF*osQihT0-5zGB1qWWbkqlkblfe>lhD8sx}b!sqwrZoS!ZTDeEFj2O>% zw0wH{7j{<~Q8cGyM(j||^qhrEME@xo#HWeX*v&P&-eQ@$#2rg8rWx)>M~B}yNI?x! z@0o~2Ixk=O0drwAJ%(R&v%||FgWB*;e>Wo4#D&8^LAyXMRcG;*s=&$m)o+f>cdtmmQV1A39VIgu zxO#VcySi*;WILJj@Q{J7G2i&+KdgbhU@X zh*~8aSsgvwG~rNQsq}oQfOxab_beT+>zR4M2A8pJ;WJ{HPk zhd`c{55)M#_8Yq`I~xT_T@A0B1XMA|Fwxo!X8fU^KEypjLM&5!!CcWWXB#?Z8*udW zRE&kqSi_wIeP|B1Ga-$w!@z^Dvq=5TxcE}xrkrdnaGI@bXW19CV+O@5J>#BoJZ#5MnUlS781RpMA$~f$VFq2PBAT_YsYXKrDHGGTvVyjX>Gkm zqu^L3XnjFPMLxZOtl6oeN{=5yfSo#!XY>wGW-nv5EU z<#1eD1mgeLy^r@4c)x1))ST33!i^GOk$kiGAmdLVSnz?Z$3}@j3>yHV6G@E(mY-X3 zbj6(K%H8__K{x&kwrjuAsj@UR^cPFJMA#Wd?~xCYtH4t=j#m1>3p-be%EMdN8PX60 zWSi@$!MG6|@pcIOzM zW-H|?N00}8fWZ2|>XHqMk zQ>2X@u7Ij1=-sAfQ!mSmnH2t?M+fp!n*lLY+4bd!%t*|PKoWp+;b^7wQrh9~f4E`~ zj}@`w8?0g~DV58YkN%uF0$sB?3dlHY@iAoS-|$MaW^8>H>>&%p=mT{ue4zRN5aB#i zxr^e3Z80~?y;K#a!29Q3h&4c(2nE(4aYzjCyU#Pc*0>O!>8kj;mH+eoC`D1|c}aDM zxW$-dfcUml6#wRi=!yvDmZHGxZFun2%JbV0OwwSPV;i59hvQYgu&bn|bgA-sO$-spR#9 z{^;mv)b@6#zx&4@XBs6M6A`x!+2ZDOr}vT>6F#_Vx>C z0SJ72sAXUcwAT1>q|=lIpTHZ~8;q_&gJsi7V30CK9H~9yryKUfrM+74@9965hP+F5 za@oe`7HGjsEJfJYOCVpSOhgX(@sEUVL;S|PI0$kj*4p-d?cf}Wc1t@4CFbqm5RXT+ zy{Mr3%5i+P-Yk{{A-_4cO?&Nf@CP1wGXS{HJwMr@z?HK-tRq~$^%F#e*fW!$JWsz4 z^XxM{xaX-<-mXL+vz;m%9u}VhH<<#b10(!{nZkEl3YH(mxNML%bP5iLE*;i4)w*p6 zc0gP=q1YT}fr7siX8E;n-ohKNJNfXy#*oRCCFJu&Gm`OS3Ao#yLA?(znQB3C-m6%> zr0fHy2|_ua331YJb;xq@lmJ46|3ukf|(yiz)h3u%o~jF(%_2@D{=8@*)# zSM7tpBZi3tI$3$B7&i;nl?0O8Ko5#_EN$tGvyas$;8gh@C zydV8%ko)(%q7g~D4TsG`H}o?lYmSMcIe@0!skGj?i7bnhil z$ios8)fA2$>kb!s;{B~p4v!t&g255YRnuI6>llZE2t~J!1Vj%&;=sD``9VQj75)m| z6$-mcNV#^4*^d!Et;Uog-TFQDA-snvc?w0eriw0#r$rAceYCY-hXwKK13YRV zmyQ*N=)PaP_QsN%Hx^GHjb%~40XoLc>^6#*R*HV7>REbb%459g(cfU|J?la0;mm#+uOGDM$I6xTsZ=`yUkXU)MZFjagp#EXD)DSAlz8 zFIVee!zlw_GNQQh9wY7iv{I5WKYX5kUq-7A_%cm|!ea__005XX4oSC!OVe&j+v~T1 zJ9t?g@*UmXOL&E(KZpq=emc%9Dq`rPy3u7&@s98kV~D=i6n%9-3tavpLAmna=exNE zrO*VDA9aNabveg{$IhK$BO$%miDfxzvIybfK|s7fK_E>-gid- z%swZ46uo!pc2ffdME~Dau&O0#$CUI7qj|33)xw&1CQmU7;H9(t z+R#r8XymeKgs3>TCnx2Lp8ZlSwv?K6Sr-al3QZlvKN9o{wwm>yIr2o!nLs4wN-8=( zKI&i712l{h)<;4zte3-$Kkxaw6ICB6YVzt2*T+_IPqiYPqy$}6mQEl>tbVY$u7&n6 zeFG0)bg9r&Pi^4UL2vHq<;z-dQWNA+sOI1jd+M?AXYZZcRo%nHQ?KTUHEo(IS5qg< zyN(PW?oyKTm5**5u+}0{OkhMVFKHVC#$<9w!Ib-#GPPh5=FD6M-Zmjq^xP~~ocAv^ zl1a`G$DQ@!e-Wa_Weyc??{@gq>EiCK7&^pON%j;57qO_3e0lBfJE3VkSVkBRA#QMn zUy8|_xvEion^XK9oh1TZ!5#UvoY1`7WYvQfl!aXqbM(Dqxx&oHSlRkQ0}PJM|7^BuOY{k03FdEjq1yO67vl1VLSBp-Grfq6&_)BeiD$GhK z%^@9^=8$d+Q@_9M=)_rtg*Mce`!Z?=V`l&IkaTf5O&?l~_fSs6a92@_-!lUhQ+Xl# zL9TwZ>$Hr9ev6k&-IsMB6~Xl=kBzDDa1C#M+@B{~JBSpH#TW&5#mz{0C9V4VWx6w# zhoY{E1J#%z_G~}C9>J+C^BKp;(1{R?IO~#>pC^UEqUbE5Dx z63OT-%>-83?Vx_aQ}E1|i)^k3=r_`{$x|8V>ticF;9Q<}*z-|4`VD|E6SN#v9Pbf=GHFVVUxFOAfsyuqXrQLJ>H16IK19Il-Ai>Jr3iG?v_{2hG(@_4dYiLB$f`3UF z$wi7NvZ$;VNglZJ*J}P9^u(FwV_obcAn*XHT7`~#3|6FyPLpWKk)}&XbvWzFT+%RJ$gTXu<48|eQXV4;D z;RtKC?A^R3vX9G{3s#ZFO-jrv)k30UQNKft|GKoy5|o$sOkJ}9w>rUM6Cb^I|2EcM zlpWFO=Q}W^?eO>n9rwFqZ_&$2+{Onf_>7*X3JWBeuEb?c=GIQZ>IMRr6Dl-YE*X@H z7<2vv+nnRPLKgaviy;4=y9ur=R(V(PJssW1D{E)Z!r-c%Tzn51PKMXlIs!6M@wkQs z#E7Wdo*7S@K_#n(W`6ho)+r^+ub$fjQKdoB0EWXk-`KE`e5R^1|5RI6T3(wpl2_M1 z|7zztD^yxFTPCD!3n-1)L@>KZ#+N@<=qns&sVa&j@F%W3pQyC0-TRf-6+=z@Q#L6W zN#CaQ2M7$_(Ug}QKRgG_%)_6pd0`41mm+{OMFU82B%R4n%G(XPlpQPvc;n8NWj}=N zRqYJc(rU+u{cNXJ8m?V-<+GBfoIyZVn&o>d3Q=}*m>P4^qdzu|$E^D?geK|2bF*qH z(A71eC(oEC+Yb2#hS@MFTcD(G4a!E&|v5uHB4QDe|Dl%hJD z;<51jw0Ws0HV-|gN&RVX-nkyInO(fE)sfXD^O)PwLOYV*;GpXPzDuvqg^Hjp zzGpwN&1{*n+%EIHHn{r(t<6^4CB68*S^H3?9g1*ZPWM3>m@`U*8CJDg+3GUh>~N$@Xn%eGi~ zB$ab~KB4s7v=|G4cGUtq<{wxY`{oa6rv)!x3lL76!?Wg^dG*5zUueF2{LAO|!)4so2#dZXt}3P1L|j?7_A0V2X-i2>MY!W&3h!|5l3CLn<3jK!^ayT z&SoVE;x!he5q#5H_Ou-|c2q*t3xuUKE`^X&Wkec5E_4bqdUy&T+6(@C0c5Wg#3~=h zfq}C)gy=W-Af;m5;>46F(X<9TM}f^J9p&-#mW0=gt~8-kTkg$6wfgNP2Ysv=W!IIkbJAfyX|4JgYNpdjBz&yg^6boj3#4s|cf~tAG)*xZ{|dDE zQDc_uyO*toYL^yg)s?cti6u4M@}jMKvl*{5yEZgBacUuI zGslzo)`Zy6+cfl}HPyywmnTjAP9Im-!;;8i2~!W`o7eY_Q2T@NH)23AnNh5ww%9m| zBm+iH!7xoU{nH5|(C?=PLe-R4L|mFmWD^o(vC;{tcnX<3SQm*Ulh(Eqq&hvxU$Gox zv;B{c+%suJ|KLBgPq}qmhS(G`G6_)`PQ`A@u9*o1pPr7aW##dau2aFVwB_T%mCTEb zCpXHmYbx`O`A;U_^f?1BBgb7Y!^UycUmJ3D{tfVZY|2+r@FiTk5xtY5#OV}B^nTwg5I+~d?%b7b^x>=EOaP#m82_gLduX=4< z>rK`Xbs}${(qF)K)x1JlZHXsNk&fG7Kx#uZcld7#f}1F^tRKCSN0EtFs%CR?|bDxf5l!^SKCz@JDYUCdWTP0 ziN1nH{d~6hGT-a3*9t|Gx53^Fk~OKv+1*~l9e--vb4^Osuh(|UY)+o$TtB@qq{;Wo zA2TAE+}~R;29A5-c9$9bGepMRX7xfFsQkk>6ohqi0&;xxfxz6@Cu@%9>>H`8XBU+l zBwUvaf!qb2rAcYoR$1Ym>RDGdIUD1;%HyyR8qJ0TY1a;0Tl!st0Kc!(6?g&ResdkQ^2~brl5fig+jw*NjEi;yO5wk|!EYfxusqDYIY?}Za zT$+7=xnBJ4Wm$B{-cuyExx-{zA#QUf(#v+PO)oSG>qx$(}6?PM?4(gr7KbCl% zZTBv0*RL3{f0oX>D-P2uqpzIlC2gcMxo|3Ueu}UC^g7^PQ611 zr(1Do`?bub_Wn+^M)OiP(Ai~p?%+ywyfp|G&rkhU_dqe58gBOY!6n(U6zoJAXj?Ck z|MHemrzZ!2XulK_J!Y%^T3~Vb!BkKb<)1W8Pr~k6qCcLBv)m=eQCEU_lOo$2$XXroZmgqLO7x>$+0 zI)P_#-CeqR`-YK@{Ux}GUyWwbqEJJ(+;p5l-gLU=usUo43^iisZvk@;y&5j!+Fzgf zJ^xNC@~X|LcJZ+q`LJ)M)t1f>s%HeKXyI~HufWAoHEs3yV&|*Od4sm;-hV?&6{m}1 z>@P+I7;uTU%P=NS7A+t#ox>^Ios7osl|>#iKV2I};L{FX#F3OYa3?|;mX-KX`k!|!!5Nj6l#n)j|6E-Niryj?Z=0k zQt0n!A1OPmEix32vnMnD^)UR%=oIJ64d%$gYm9z)h3_56`>R?{_4~}#^3Qn+YFal? zozhw5+|!1E@_As_5%GCQmIU`AE@R`=i?}OY`7gZCgRB(f!qV9E?(PQL<7^Wsu*ly0 z5?x%nESL-*7>es<9RD@_<@-`u8n^y7Fsqn#zvIhz{z&fe%{QDPrFOlWI$(H(1fTN9 zDzhp-=PG@H2F3BJdW{3hQq6&u5h7BT_^6QyDo7~GE<=MTBHaqj|*Nfw)w~`v-t2_vWJMoec6I2M(J-F{z_v;B2 zN6ORN+Jw(FEE{(Et}~R}D-`;+&h9}&9DCpXhq8By7G&Ahb%$-+wr$(CZQHhO+hz^h zb`9HBja%nFt+n@Tr_J+{En7ZhK70|;Bmdre{2}s;zq*}j_0uD(%_5A#oVMXooP*kU zNlaO@I|dg#qo1x9hUp+XdAXQbY1g2%JL8B!bnv=?>+&xK8Vk&?Evc?btx< z0V~WYO6ur!2Q`hM+Ypo>0p}yoD6#8M!4d6ooQ0XBoEx7?H>p8*W=RJNR{!4HDOsOi zYP#&Q%~9k)$xTK?;@~@24*5OWrXLaTY^(wo?${1Djtdp>&BUP>CYL<1uv#Zb{FUNa zp%+=4IhOWoqwVUj0XJWX{P1tgDs}bLz(I1BI>%wJo1^Sx304S}9h{kc%R38xb>ABy zEt_y&Jxn{M>!i@j?9S{?SKbV8mhQMFoh?YM+@N_&J#N+OX92DC@~8TkClesqQzzNu zSaeMTWk}Zx`#A619Y6(r?_#n#5NiH`a`q$`O9gW?D)`8xp2TZwLhG>A5q9);1F*9V zrQC?4A-Gcq0dsprv6&U<5I`xWrFd_eRUuTan)jZwEr~B4xKFWw5P-oSXwV%8;E4(Q zR1-(G31Xa*WiQYK<27hI#?oP&l@w3b)4HG*pypSlXFc5rHf`XSu^4`Y%$%ThMazz z-V%)sN#d5W{L#7qoK3+-?IVWHV!6w!JFhyjaeij)S9opUUc`hs2+D}4JY-ntzk-7(3M{5#V7s%Rf+ncrD{ijMdv-#-o?!| zL+~{Ea3E^@*9ZC{uo#;51!srgNsQ--SuibCJcy>+lf)7mV(9id6uZ=qr5(mgVXdo; zLrMO{_le{RP~NC6Zp=jp^ig56ij-o->N%mJzvqDXV8sUNH@22!MrCuDVar~H8A?$* zXMR)n%Aoj^0u!BGhZ?VqL1S4cwodjwlpSwvJ!fIi%9`S*U#k0)sWEW30<8mx{5B%8 z?NOjIfEF&?WUK*qhI{#ldunjr3W;%s#Zl)TZiK3a2?Q;di_(oVqpm#Z!i=umLSqn)Ye&lp?a??77TFSEtTbwF`#!j-Vl|ZL(;ND(gbT zro^`rDy!h?N~WxZEX^AC*ZHMId{?Xj&tJW?dvAy_ca*4kRlRQz9}g0Ubp$XYytIdR zbnJFoU5S}YR~7V;i7+{_^M1^O=s~Mp&n@e4n6t2rsXW$<@MH{a&><^sXlgqfQJO{- z{F9zy0=cjAztR>k0aP2>*2tO-9JUB*oX zy?!I8A;h!r88*kq7*_`s&L!T5d%_bhTN$OlM)b}tdy~DLNi_54<(|6IdcPx{;}Obf z;Xwiys@gLmbX7;#@v`495C<{P4F#znUztg65=&#ZlP3qic!JbpIH=;B7`>2)rwuer zmtpiYMu-sG0A5qD$4S$r;UlkmV4+4L$_z)~mj%5sth<)!Nw{&i%gZ|U!?7oJlbX!e z@HE?Qgg{~qm6dC1g_8|X16N|kEt&0RS>uou4`5%N*g7;C43_9-WqPwL=BY`OJ44q4 zkuXD3*Wxp&p9p`{Hs7S|x{sx)_oB$bm1Grsq6-ylHLD&v5>@V zO5oxK+rJn`FghI0$1CvUUPi5)LeYbT^29s{$YGGQQzS4swVHJWE?`fA4wfGnhT^w{ zgy-~`rY6^dpy~=xUXI$)aWy7MVtNEGyr!WD=C)`SFYbhVvUX~UFQl3ICMl5xZX&ME zsC(~}cayS-(vYI^W(Pt07>A^o-bd)*is~B6&d4U8_R&mD(`&09Ks0@=t8J(?`Ejxn zAL-Vc>xkoY&jU<0j5#HE0@pS>(MAg!BrwD)B#Kqv9-sr~uSH(ThWV&x&E?Y16d>A>yzLkMx3RAK+bOoR_p^c# zP6}k4utuEI}R|UAw#~|`>rcV$CFAxc-7W=iu)y^;q0j2DO6AtWuMQGmYj zaDh}TYNvK*ZKYj$vo4i){$CS8D|WA?LaJJe&TCCSz+UUQIRAo%xg>Z~itL>dJK!6h zDwV?HMYwo4Z;#(xxctL#6f%*@n-k2@82M;#v$mInelDHUagW-!48xGnh7{bWZdD+! zUzy~xr+$jZB47^5TppUP2|1f4d?{XoctBM)Z-CN=?ha+YxHWW#@<(XNDGZmrq!vI- ze`(ttVMo>W3t9EE31f)MDuYYqad(u_>)gH|L3}*V+Ns-MEPorZmZ<_}iy3Q3`u3C*K zotz#ve;)u%)j+mVkt2sr4vIKfawFW5c%v*Lk0F!K z?NJ5v7zs{7W(^*q94qmh7rkNBe^Y_Pa#o@>L)Hf{M$JouDt$f$IhBmFqtUyH zi#3w~@>(vsK2nRK!%;VUs0d?i>XiEtay(?F5sLZ5{D;ZlFJH^Ai(^1J{D7cNy&dS9(fYyq9E&7U1Q;6@1fUi%# zY+*PYTDlIBW87ekSb9i3N25Fvc%1M!d+bQz?W~Cy{gt^rhNegFkpN6ZeWwgNy{>_^ zTn42KU@ax526@)XOPc_RoEJ*JmszgMw=yfhvPqxJCxKyBY+KDAi(eX)Bb$?49pY+|AIDsQJmOP*+Ze)*R zOfz7AQViJ)vJB}UCOs_U@lu(w9czp-sTgZH7zn+-K`V_dL4L23$}p#)y17_PYqT0& zg^}sS%0EM!A**3c@x;}Q_U(FYqObSenW&OYe*HnORZHKaxf1;_I()EXd^fF`C|D$Y z0mAq*yLyyeOVl5=GWBJ*{t?jk^&!=AClN}gaASl`Jxd1KWEzoo@mDbB2o)%|Tu z{L2H;=$mw%i4_rXotnat0;&%xatNAgU$pocmE;TXjS$c{nB z6TBQeP{K&zCe_{PU=JHd^4QP0iz%op?CilBFs50Csn(A&6#79)KlNb}3<6wFez}&A zb8rIiezHdDH!#OrhYcep7_Xy;vG^Zq)4u1P28hiFEXYp%p9{s8wxC_|mg-lxc{Lwb zrpx!C+dtqQa7lRoTlr$){8!2sBOB{~Dqp=i6LBQ%h`pbGl`pQ5T$ut!@S!w=J(Iba zyTWSgO?2om-}~F_#zaB1YN~2hrjSt;vh?3b_eQe0e|($Bm4BMcujDwdwKwE%`7|Z#;E}xvS-#_ci@%^^t zKikOD<@EXGyw|0m%F*-Lvk%WNkL~M6JK&9bn8`4Wg}&Lbz1;Bi^?F|GpV)McCIt7S zzh8AeeFdUp((xEq%Qv%LKf2pI-rD8zzs$wT1&WQ|A71PI>#)5WJ-06NEZ_HY$piXz z)Aancjcsh9U8^+8AxiC$KSn=r?tDpYwy9~s#Yn*I4JhA<#t40rFe@ht2i#bm4I+r} zbUzLrs9Ptv3sA4q(QSU=AE(CSP!4@PUYuiHtT#Um;x*JW%LOG*L^-hHvjAU@KkSdr zdy7TSHNlB?@W_YUOaPW+T)7su542=Ary7UehkXwRl>Amd`ksn4CAT*WkLCe8G^}Ib>t_CjUdCB0GB<#|@;9W?$|>H6vL=b!Mc$R)Hq4%mD8yZJ__8zU z&nZEr@F+KJ-?@*DHr;a0sKXkuN*@BZlV{K9c@;>U$dw)HjJ*_}`(}|oG+p~nR~JH6 zFUpw>6^R**pa6#OARWx@nn&!svps%0A^Ls?2}g~!4q?m>2F{wveTShVe)?VaMwZ}u z#zHipFR`s<20%#Xz`e_AO#20?#JnmeLkpCHqO6^g-er`n5kPCJ=2rrG=+zCHEw7DR zkeOa*F1Q{vIaQ9%TCgA|g#E%#2NYoXv0u`xNke@^s}`uF0y1ErBauj6t`ESiw<8+7 zI0!=|E{CAO?T`E|6#V2Wk#9`~=mZ#=x*L(PhPMqQvG}sp zP`S2o@l@gK(7hT(dq~H|QC#KEO$%*XH0L7wier-2{$j{^iMVo=q?f0n(;LYZ=n0~M z2*bH+(+Sjb(Q1!{E8b0eZBa8>Q+VwOw$x(*p&1Cg4KYzxxLtC{?{zcSI^zxlcEkSP zBu{A3O4A}6_;q|+naq1#utT+zzpWQ}lTng0S4;*-2T?4|RRJ>a25CE=d@F$iSWIro zq-P^|(>emcEOmwL73?R+qq)l4=mU|lf?tPu#J7u1>!S5H>?378F)CJfZV@{tiQ|1Q zduZb zd(avo&Lv7&b=0U=jn^*I@F>o$Z0D=s^E*4c`F&>SxLs%Zbd8E@YCGGMdK?sd^zJjX zV7#e$3M^_gpq6p>!HsDt@Iz$SpX7tN$gYT^QHx0${p`wWFrvM4+QklUp)dv%?f{5x zuyuG_E$&C5M>g#B&Sa%>5l!RF?o<3cF||Pp?uh7!VYWAS9A7ko@q#%+fejRZoy&1O zTv}2U#lBn9gbzCZnhT#GnB1LO$Bs5f6UWE{$?6qA?)i=GA>4kKxm)lQ3kq9%Es++` z-p{Hf!!c$K)L=qb5bQ@x3yEwkxa}`omH7^OqkGR`&Tt22Y$o==CU@^>CpAHdT(U2V zna@zbr2^ybC4E|OT#->%IBeaI#$GHP7uCevWVj_)%~g^rZ-3uZN!JfmEnmNcQHhQ_ zNNUnW+a46|H0sQIi9CAsa59*Nyh@CkE0-M-J$Q`;p4Sa&R=36RGl9uHuPc&iexUMF?;v%RloZVz zqH?(S^wl@qflWU109fM3{Y4^u5wB0_aU;)W!$(qHd^&qdo2AS4LS~oFL8afbfN~;R zTCyTB2`-oKH6cSm#I0D_6Q6}q;pT3-pMjNN<9B3}qxKc8|~%&0~4nTMrVH_Rzo{Bttzfzy7(EKUo`*jCvt8Ce6N9ogT>$c_oG$heqemVvn3jh!a&bl=No zs&s(Tx-hd0V#yDnv|^283h|2&dfaJSBcG~i_S2(?r(W&-Nvs*zUXTbOSji+bBEs+7 zJ-RGndO0CPuFUkZWz)X9)LCQHx^_$H!f|QkPYJbUy0gVq_Ib{=E!7i zFsU~fHJii=57jGkUSIf(e#wtZr+VNvsBwocG^wl9*v!CP2xkNm_F_yXhq%ePrQr5* zVC@#jrWx-v(x1tpm-{GE2gJGN5cuRHX9Q=$cbNmbq^<4_%Vb;QL zB55Cv;Om{JUS9GA&+wXpT&{(pE27&jh8iRxHv8GFwto3S4HoTIx=kF9_;*AvL}Z>w zJ#ioO`~x&;HFUNyvr!2^Dqh~prkska?DiyP*BWQ%%%Ei~lf+cQ7Ftg-FJSWRK~&Qx z5-)o1ys=P@F!Q6;(6$mJ#CL%}1;{QCP(}juSg7>MKJq?FKHAuv%hMT{SFfIk`GBepECw z%&08!NwZjGNmVGo0kT1D=QDm4y_y=PM@MHh$OThTD%&y_h9D7>x3-L_tlEkk1~99g zocll&*W7^vMiucvZ(98mlQxg0^8T-7zdz=RcIxda{_3Bk7~P#Dak!%=?tOS+2;l08 zXZ55`8#`hp3^uYumJ(3XIdkveBaN9%bTF6EO#FYp~gD=<#Fku6S?4c=>p!krMF>|WbbT)p!TehjK^UPKZCeH8j=pZB+A>vjyCi9*#&+80(xp-xZ;n=QV4KOCM^};p2FC=p=Mjt7 zhN)=lF}`5b##K35m{O8@?@C4FrzgRkdAI6*xuYiCQbSR0qk&o=D<(9l&COBrkwP^N zib-A*sL<(N-O#L8f2Qs6_X;M;8pXv>l3r{TzkF95JWpP%r}A*e$2cWW3uw}_Dy1+?)NDtt`sv5^qY8e!IOLR>tHt5>`qCpjXY$}9Kkm5Q<5IU zsa-vhPA+K=PW`0%@ZD0EU~s;VD`6;|HS)cj2yqJSC~?JfbZ7Xl9-T_oC+Bm7_B}C! zq^mBHyKS{w55Ovlo#%>i9DA?Vg@5*R7cHS*112LHg24D zY$_v|(wjzYKk7DrP$6Ofls`tZxi^U`>Cu`H&#UroIoQav+Ym_kJWsXLUnIlk&gwPY z)EXPC#)Xfb02+N)&!m{ABV>IUiUm*}H0H7Bgz@TBDHblSJT-Pc1t{zKM-ge_Ga7mF z@=18&S9c$?wBI*&Zt0Zz!lt$){$L1=v|R$4>5H^zL2 zRq;CI7+d9wcA{PR8mDkGuVv8XpDC36!NwWi27(wXth`ylennyF1k5@>WqA*uKLWRq zlD2Sy%{ow?KLWFe0%j@2o(uV@tnWV@7~ zZ(Xam5?`&H(`JM}jq?R;Mr!ZjM2;&=a*kJ+IKSob(8Nm3@eh%j^#x1K`9!TyFa|5Ui}tJTSbIH`U1>CS{4bOtX*vX{y}N( zY}i`zr?yc8h1_*vdlqL+@Z(fntrp1osP@nMmXkvH*UY@bx4InJEhEFYVw}z|9m^F?p6D(H(X(Nr9EtI( zNvY4v-fReo)Q2TI0W@t2m6)%IP3RfUIWDK$n;-QgvL~o zF)Pf@BkC*oK_l(Es_1i2P-f7Mz%2!uWcg4SB^28iUlQqt9M{eSfUxUMUnA{SlaGs! zPdk5GgXagdcBJ;i%t{-tZ&4Kd(^u78xFXqOiq2!?bceQ8ors0y7O4a6{s}shBD?c zJOBM#!_eY5*MM;BSDl)6DI1zsczO8v@oxSf!e>z|?j>%}cV6$2Q&${3-aGmueT@=# zo{8Y+#bk%yyDCz7yd1fyNHdbxr4z}OIZYZVVZH4e2g!Ar`DM*HHLT!zsG9dS6n^Vf z1~CJDF7O*v5;R^gHZppE+QjvL^BK=~e-B*J7FbJgBLmq~+RE%muV^&){X@`vmu-G= z&spK$%pcf)B(&(K4~F1CSdnyfm~zqJmQ- z!F)^uZ*Q=d#$mQC2$Jrk)?$KN89oQi)It8f-I#yz1zV6f-W0csXC7za@{widAYnNh zZiQ3CNuo`L7^0Qd6QTr@UHn8O{mLw@JOQOP#Q_E@Ec8%Da#(V-4@)gQJw#SG_^&Sd$! zKFFBP9p`udz&$3&AASO6leZbk@#`Lf;)#_!z+J&w`x|gKjN$G;JfG5~wVca{mgL&L zVcoyYcZyoAi=?aE!AENjTEW$ZNQ>6uC;~mcBE2Fq_p_&weV23zA{Np`1&ijr@q8=H z7lCugZu2LzK5SP6D5r!vcH^h}H+)$wLxY>OwM(aZh^`#m3O7PZ)8E@&_>vH|f=FRr z(pzursIs>|Y|dFLp<;zve?Y-e;m0bG#{}`#*Dypun_MS~z-G`}GUM6wSX7Jqo(_M4 z6!*|b1+)r&9r0)P@8;6hjvO{=<(^wAoAUv&WVlS2BHMcho%M=6S z_9BTDAc&azA&8ZDOJ*?IE8toj)TfB0liW;*3Mr+_{1n42a~%DAq%iFQN+pd)s@i2m z1PXto79MUPQHrs^6}Ob7_SV)ayfyGu(;$~^EI=xd()BrL6re|EvQjzb7GN{!){If< zl2F4uS8J-erBKU}%P)>zI@12d2#R_-Tw#&Z%I$35_ zzeV*wz`ejKcGjxVS`9r6h&2uKh-CqBSiX_LRX{ zc6ZP74cg^3Yx^@#VOWRigMlM{9|*^6$6ozT-XqqoJXXRGy^4Har>}q~K|_N30@8@Q zFj8SlzV7lF98r<}c<^iXkf^QUd!#Glg(C6S%M)?y^^#bDODM`i#fR;uu+FOnp_trPGQA z!6jY6Ds$<{AIpKhPzn0M4E=}_XZ&>qVYXhf;DX&p!*XrO8LHur@+K}!dn8zzPXNM1 zjogp-*jsF_mxzUI+MB>3}!; zfz7NPQK@(M3!?Bph|o{;se0+1KDZQR{;EUz0QYGHf{R8pXVTS`HlK5RsSRjJTo+Fx^;Y)x_MVOPx= z!k@mb`lET!Q1jE=%v^YG+9n}4}fbwy9CfVm)%Iqvu0n#_)f0z>*Zt%ZHO*ij*ocd=|j6DzW>{5tAeslDRi-%H;S_axrGb>r{$ z`Tppmm)Z#*aM{qiJil*%EUh??nI0-8Mr5>CA1TH^Yg;*0n?B7$_|tB?4SzyN7Tv|W zFy--LX~h)V7cs#|zb)x_+eN)20Z(+-G~Ei#sI{`X>~1Prwv7I866njsxVKLJD6#f) zAQ{lK)cHX>lYw`_#tUJR5sM-kmjr=AJlY~a14fHzER^m6sKwb79=BQ{Er7ioc!1D| z0^&MRB7ih}0X2LfQ*#Gq1gbCy#f(7BAV@fn)3!a5pIuoz96u8IMHZunX)JCtTJPsIdlz)7j+2+grBr5jx(&%_-{KE>b7bPfII4INPZM~ za4_4*!Za<4{cMNUp|6Kt_=R1Ju7bPe_C>t*riIsTb=~zS)$1QXr<1MDe}c>Mui!HO z54f^_;r^X>@2K7_D2)2uiV%RYQlXn^V)VTuCM|$FA+kJgx7{1=ck=;*&CItxS69;y zJ6`44g42C6+NdlM&c)WkzTWJpk;uAO*Pw+J*;WQlKY!`=X!g-}$3KXveJA7ZMy&u(oN}f0uHL$%KE6OnM(T-(m!6NM7mn_PZH~XHjF_x&UL=i z%v|8rR(DCn2RiVP z!7;s|IH7<>5H}QpXQXNt<-k@3!oG+(ZD4flV}4F5f^|8vPLvfJJP3!2XYqmk{GIo~)VLCsQCa~|)n z@4lTE1`Qp{%ys8;J1EjgZ_5_>I{7FolEmTK;==lDwwAa$U*DieExOK%r1Z&F<`r>l ztPM~95Fw)L&)aREW1riqYCC**3649>-`w%LVXH)=#r@sg4MRfW+*wC=C{n(N=hdhs zDm47qXqU4ssCUfoEyF$E@wiXDB_7XSSnF>u8kGmMX0_- zELv^i=hV14EsvLI`?J9uZ2T$wsLOqu$2WZ=nN;doK$HMBfzk#-B8b!yK)%Fl1C3y0 zRpv^d8GyH+8OU}ALaQMkSWun`BN3byh~^Xb3=@HRBTxe{sbL6d1WE?F1uQW%3i1rY zI$anX8@aMZ;KJYyQs@S&1Zjhf;ItrfRxVVpiZ;$b$Q+4?^{P_e_{D05V_pc{N+rBcEG9vcNS-T+i)#6fmqkkBfW2L=@uc^du!wWoVdpV8ms z!~T8z%>CN#G_%p^2|8#LcKqNyulcdHQ;7dndG`m16!iA{pXjsw8~UuQoc~2XMKQXV z0VQDH|A{W`3yshPvw_wtHmTgP~0La&Q2!f3&5M&{vXrWG$(_C+ba|DqZ-`|39S;qBx5 zR9f{_8HMjpWBQi&HQrvFXo;xx9K_#VLuwn-|AF~hC%?XT(`EWGRVI|iAeW#tpeWGDH?7nHGx7(t}O65Lf12y-i>*%WSsxoH9L zD`^4Hmq3#cR!|`~Ss}M~kj01)IZFgdFCmgw-r$VDD%glBNtIC;6)-6wk8#1}cbFnM zBp0%~zV#<-lF(LO2s{=@JR}v$KycY2E3*8Wg5~>}73D&&78Z;o7K&$hu(V;r-r}h&EfU)qVQ7)w zYs*05SXwAIy2a2ikk2X80J%w83i6>h3l-&r3&0PUUIYukDSxkxc@>$4ypneX3WC7@ z=M!K%#_JOu;LTNZFPCd`v&=o--|r`P@1yQYNBu7xF+GnJ2?RB$kQA@RA&*A56qf{F z8No9%ou)MJmgnHRT-jZ_elW|97;CzJUh&_<`7Qrx(6RrULC4JUU*!q9NmEh53@Bl* ze4=T%VF#sH zs4Puo$gM?N43$yqp__6Vbz>KGSg_~K7t)p+6OAeMrt;H&cyJzW^G}EFIU)vJSM`_W z)|6`J%BPQO%D`sJyGc$kXO|BAuq)?8nHwmYFq+LZ-LY44Yu%n53d@ggbXQ8a7MfN# zDW7B+B|S^?hR1QJYePprG^8g{Z?8eW8WcwOz1^Fz%4+?nCKvM$TA`*fU%737w z_93AXpyvc45V#0Ta0`fTewjgZ0X#b%VPgH=<(R~Vg&i>xuaqo* znR+EXG0^<1LVCeu;~W(&e!^qI)}8(n9*%#7hw;DhB<@)UGa!uZeN#WIGe(V8oePA_ zwh=syWn3G?Gjehlj?!ER|9ocVJQ)Up@VW1ixW7I>8fjOU5&Q{17l8z>#3qG(+OYsh zfU=8yu#hkz4$Iu8)T-m<=Xdfwphft3QoVuOs}DDxQ0>>ttM-269(?fHSPGG-Q1tfv zn}MAkY4dpkZV9d8PAbDA{B!!`!k+=IX=9>35FMKv3$j#!t*P_4C_1Tl$=y-_hUB4n zl2@#eb4K!%1!rv3?u(b+}e_MldhTIc@grym!kGK}6R;UCc zl8`j6D7DxkxMfr)u0?c{GYVMcCXwRAEb6a0recs38c`wBs8$mDw5Y@z@X#d2>O_XM z=gkb8J+HSGnV4}IBA0P4r(0ZXQ2A@u(o5Qw|HE6x`ac2qclA5}GbHa={rw9Hz4eXi zm7yHSU)ezkO2`5UA){>d1@I@UoUd_XMfd!?$Rk8YMS9D*&&k}t<)3Qrv=ra(->Rdt zKsjAyNejC%vqnPI)jAAKwAl1Aar${~z2fEPPWf)^NxJ)MMw*zPw+AO`8OETISC#+r zDmGO==UX8nY)<08>y3oy+(&yeB(b)g!`-OoE%b(;{KBx=tznZ@S5*GKGr?w}?Ti>* zU*ljOrM>qvpE^weL@%4G6LE1-S6E1I-Bj9{&<QTnSDL#t zv_{Dbalqi3!l_h1Aw&ZtIh?^3A&H=Zf~;}`)*@^Mvq_9hvR{CNfO7;@f~Z`8YLxR1 zWQ6LrM&K48g~JimR)Emj6R@5OdBa#0w_nbL;66olH5Oubh-(pzf$Wv;Ao08Ig`h)v znkDZofP3$j&YUS?iD$XVe`o_T<9fRlp5g3Lln#uBTOSVsNt10K|}>dg6W6VxZV z4fq|aoTwA6g33;F(}laRgl%O z@(AN2S%8p&*@~H!x4PDkNsSceOF_onP8H; zVSX~tIza?Y?c{#{BKke3Kk#**^nS|;>-+UemTrwceD^$f z0{js?s8C@7MpOWs;DQ1T3iyaHzOa%7cM9A@0gMD(rRKC8lPzS+aA&y<1$5IdLIu_4}iy20Fwp)kI{)f|S8IGJ(nz`?o&#J@2sLITL&?G1De z@N$8GjrZ$~5e95O0oXsM27J@!)8X|20r5^my~E6;W#6C4Wisk^wwEb@xD)DDZ`%A^ zp5(Z$CkuX5{Gz-3q1*V(6uC3>x z8mN2I^r*eMs+($%Z>jiIU8*V;8dbImIE(m(xl0t+surFNGaV)0R%fz)0W4fB1r}#F zc3{6ui(AOc&m=a#Z4~R0cga0$3lwhvZsOd*!=b$)zopM3VnuPBvG475Z6CUD_-NhX zPmWo$k>%ita;a=>Auj|#*lz~EWIXwWLE~*>Us+p@DI*XVp=U>{aM{#PDACF}XM&7EqJ;w0Hk4naJ!so-xNAFeecWWJwgkL*^dS)d zrycgH-v_7Knoa9$I4h*2QtjkNj@tDBuBUP^Xoa*yS#$3C`$E_@sn&8#1W=#3KzsOG ztrOvbP7o_an~#}{nmpx3yN8islYt6FY)amTk{WMSxu=+*_3RWTtYI${&>{{OERnV_gigw0+gc-@)x$8DPB;$e--8(~S0O;iJ<$z&aYZDI%b%a-!*_!{YsPl z9a0DjcQQMb70WoVv_vC@fD9qi(LIC4tc9+%Z^<3u+!wtz1LhS7cr?3vYw;r9?QSKr z-X7Y-28orLSIT-|e9$Su{f2^R+bYk;K4!(xb?Yt+_7HFHk;exTkKa@w8D@33ZC%pE zg?VQIDvI{vXz{wn2w%Cjot1UT0#9)=p1grWX5^oWG^GNdUmkN`G{!=%R+eDhs9!O* zb-U-Q)vn4nCrUXv_RHPap&XZm*%~Q82mubL54+vn)uuGLg?ZG=r9b;kC5SZ(1LqRbw$Or>`&{|(<6%$GmT#dge}IKY zY*Epr`09^fk6rELQAe&L;FRhs+v|s-*d0jX^HSjoetn-){~kQcrN(EE$HxMnVCU_& zHQS=jHlXx?;|bZb@P^7_5FHEbdM5W6Y30TO6B#-@8Qnsc70q35+{&q|?as(*Js19# z(n;t=>Nv`+`~@~ums%EaKs5cyTngJuxgKZ{S0Kx1Ly2qh)@2@s*@Ztf7HA97k^LK8 znTEkptHVAe*?t~Jq0mxQxZFVjs7K6#{&!!b+uq$h@CQQEwa3x$%D`xw-)UlMe1`b1 zmAooR66tU-mzv%&ZyV-l(g9|m5lHS22D|dOtlL1dZfLuX zF5bxY!GCf{9S*E*_!5TsNPyRM56$KTQ1LcHuw*(k+-eK z0pG}|gJ=+yR%+X@^+J&;JsDYPsff5(<&iWRtyb5s_xBo~+;ksh3k{nhF-&Y)cv*;a z`-dd^`=tJ)ihcFsV`pUKqfZpYLPx}hVF=FvB89vvl@f~MM9RoY$w^PWhky!;Qk~=s zBy%wbVsy&h+*jJ|hUe6PPlBVCbu0&*eCexx8*W4Qg7DRd zW1H|f23!+#;-1{my!Z-w&$W8-WdJzGf9_jjBk|V!0<{Ji*Pi9D3_zUC&~Rg@Re8ts&^sR zvtQQx04vc3+%Mj26ddH~fim}(T~)p^!y0>I6Bos28JVzLzHq7w2(bjeY4Xb=wW84s z(&tlzQMJIRMof>zvE`Qd32xCf+6n!yed`YRZmr@RB-}D5u~9Z2YTv<%Crk{ImLan+ zYDKV-O{2=%Z7TV2M{hXum-fgnouBf#=ALl;yFY9{ETjWpAiPDqDS8EI8PT+4&^GN_ zwPtK)>WdD7ih_j5+Gs`*jg!}lilL3qIGdNTSDX2;mCWZ-XR7me+5_+3@5pC-yPBu2 z&J4J5YFBDmk)#Vt$H|-znOfQRS7imuo#BJ#luAL%V~=A-&c-PjigIwsh<#uC%+JXe z;BWn`zOTltXTT4*HEcBrsfutzNkz@t8rB^rsHhiEOVOF1yAN>rSn^JfgY}22!Sn;( zXMR}PbRPgnXN@6&y#PW`xLvA64d|7JIy@i(nbo!~FvPw*E=%1=a&H_?Ps8A(ZOHFHi4_I*sNC;>uM zo7xWBTp&(P@OV7PABc^iN^!OdiWECJK-U*3yA`ms1Av-7LZnrJqK5#7I9M_cx zzJ&q;60#jC%l`;DgXrY$RSD%-4>iKDz7=7PEs6l8dXQ%Ic|S`7e%lGvmP1ImMPOww z&}(xqp#g6mL*`>nVrVxI;m%%{F=x5&d3W_{0XPXVcq>4WJ4IQT17vkckT)h#>#@O) zb_nWm+`H1yaY<`^>22d%xuZnZj2)K|m6-;V%$e>MBs~T8VY@Q2xR~BZ@%hpXh6a}i z8$MmGLDQnF#E&BCuhe)>gfip7`1L3j_Ow%nf2|^wD&xljB&?ov#G_4W|VoCuKf}t zN6hm1qw5t|<7}3_x!pcx2_0Pwehl zWyg*+#vJn-6k(CI!k;t+;DBYxlU)HCcTxZ=8BsKs-30&A3D8}%M0bK0CJbRw^7wez{v7_1b)K^I0JRt!#mq(r}` z8>i}9$FpvT>Bnre*q&xpdhz;@YawQYQ;l8X;?hc~6KKdKYAoZ|rh<&IiMoe*!P{bzhyOlr zLipwZ-fgEwBRO9n7E;_c*gody6@JE;p73@lv}Q10{ah8Pc^(u-!%B`pZNw)Hr9OAx zF4E}rxzs*~j*xAhITih2c)9lt9uu)Wl}m8f3lTT>KtekC0N*Nd?E;W7k33kmV09y4 zsR2ja^ELf&y!k#cX%eqH`*Kq7J7ijhC$#b`2G52)?0xM$87-dk&bQ<_m(q_QFGkidB>RAcJY4`fT4-y64<_>FkI>)g-_`w&c}&SW9;>MrVg_~}|KgxWpRq1GVAqq8eu&#{atqRi)+60FODA`Rue$4DkE)5HHN-_u29uIi zpO1Wum;M#>5t1*N{r#eRvAfk~9`LOBtnF2ZPI!iHr#ddo+P`Ey791Z2pzK?*rV8?4 zfqJ@_YM?WRysZy;+>ZXv*!E=|Y2zU@FvPz-_u5O6ck!VNUFsburmJcN4>~%7{+cVG z==j9^rK5Glxu8+Ly$9O+^RRgH`T^_N9nf5>X9aJ| z!bWHE)+;y#rsV^S#Tu#E+k4 zLda=@{NEm`_2>W^-|aNSeZUOV-5;7?%LlU77yH`zqdP%DpD@)y*3e zNdw^nOwf&6(H@-fQ}JS^1;j6Gyy=*#Sv0%ZvWQau;8M9M)53m)>`0OF#{GCpQMIT_ zaHCvgE(s0n_A|UGSI<#X&YSzJF^Xgp0`0uk2X(i;*~tPFZIG>e7s?x_K4DDIJ=eyN zK2G`fiPTSbu`Ct8zc5sHc5(IjC`$_}qwD65i9-)<5aV98O;jbLTRo1w3Gp1>d{U#-R0-k{BzT6YQ_D`m{cT$q(N)1&G^ zKt(GMjHp~Sl%X(LU-?i2IU`xsh-#_6fvKLWJ#l_M+?47_RH~_25&zBMWFBO>#}u53 zda*78#$dE2s>pwG0gDM>HAovx4T%J#y`P9z#L4OO=vwCQopr4AWyrdq#+=shqBwfP z&v?=u9?~bYqwHiW4+T02uL(ww07cjC8`L9L4UJU06c(~Fa76P#@0R1Bt`inBQ!i&q z-SjaA=6F`|cB_pwkKitJ6(#+i%b9?UyMkK@3VBV@S)WpU0!Z>^8B9*G)eTQxUUAen zVoMAb>Tvs&pE>NxfjYdE9-G@FKZDS<7Mp|W^rH~4Rfp7LT)jC-Rc)J26g`nDc=KkI zNK3#LC1Ebz)a7>3d`nMLx3S06aDTXy6a%*t@#ngzfI=qbT!b|M*E8jLOuS$Vm zWL)BiVA&Y8?BLS z`G+;O(nRT4{*I>8h__%wXJ;EU)t7rV?xMD^Mg6J0?f-DmeYdT7O={SB@rA^n`Q^qv zS_GhNNufkm$-{DjR49xP!Fnf2fS@DO!;(V!L#CYU(xj*?UMPo7r^)T30kD?z>vhO) zz8G*}XlvgcW!`DXC^=fA26JvNoYgkgEAqx$Y|ipbNyf77?*2}ig4(IdQ0r#7Mm;*j zH)yA}am4Wc&{$a3K0-4EEuhh0->ef0aab+I8bh>+T<_lI>)Gc9DZ$IaO54cNe>-~3 z$>0;td7&ROz)jm?AGp0lXSVwmq|Me4!;uldj7*1FGA2H*ceopBvz1dUSy;NsPcjsR zl3>O!U`Ysqgcr%54M%f~{SM_`^_Nk;mCO`3tg^iyu_8AZG(VU%-us)nP)-0lG}qAp z%f+;&)at>JiN17lf#rV&gDP)S--b!xYK4N^g2h?fbYv>|GKXc~lkPIi>&mW%qPZOi zHy1LNy+3|XWI0d;hg)xxKDA)EvC}I#?jlJjS@kh9f0M8kUC%mlL&0Lt6{so5GsM?$ zE`ibc+qqYvR^X6asMEV@<<{()WT9S8l(b^SMm@RO9S~~fbf(@A4oA=+FIOH-r-BRp zP)Dcj?-G9R1oqCYX3kTt+dj4|C~3jN1(D!0*dUx9&Zr&GEug%3H=pAYBgA)NZ3>FB zDSDFJEzUxgM@^c<9UHEQSt-y1MRwsuLMrcLyu;?vlhm0|S^<-vFgA&jsHr=Ldakzm zY^#>Np38D56*DHY^FWDHP+n`H7O`#0I{VHogq2Kmk)5saK=x!~`B8=CZ`p39al0W}~{g5-yhuc+#UB{py zZ7P|tVM^cG>8rakl5anTMmgf*;0L4{UhL+-nF;@2qhUs-|BNI2U!Q`$R+d?2^FH8C zV2tt?fdN?Re|z_TjMe_PMg;LdZoKzq+kx!a)7^Fxk=abn{nCOwK2x%>$L?rD} zNboaCsq-y?2*rs72urE0AwbBjb93b_Mao0}q98V%D^U}M`vY5(C!bqs)y_Oiz4u*Y z=-za^Z0&R~jipRZvYljd{QPkI*w{{vLJZh_8r+CP5Fs@&Spp~4Ss)WK2RmGMg4v8= zGI0moQBO~V+!=^`vJ)|Hsw!GpG9&m}t0C~IVOSATGr-Kej?#a>LiP-~X5P*m*4?=d zgozC!(~r@^j078yreca3@EN%O9vJ$$WnxpuDSM1mCMB(iS14Iq-{6{7srj>1s(%oF zv~YP%$9OWEe#Z50$lytF}?%H-+AxBD1)HrVXwmxWDB%1xZB(Z}|?KioL z0vYKKaPQt*XmdwU}Ucu7C#kvX%*pp}t z1HWs{R?$qJuVj$^=dBkK4qA)8U4`;!g!R6)_ghIA<{ zQPE;ZbSvtFrJ}0(KU-R zYer=`m&SW#cOBHPeTL-?Z%To21Q;N7|2Wn6$86o@F2yfm^Oy-+@meaq%mwoKhT}ED znTj2YM1?lkmzXKXgdmk{%}+R*%mxvQs5sSlQNcG@7QTsJ8g|+2vw4bm%m-j~=2k z!%$yq(tW(cSO7<9;w3)s-MkAUK=deh!ND2gz28!4CYJP`_Rt>7@o};%#)g?P+bLV- z?@Y1W;Yk0(Y4A#<`M4-z1bIgd85vDx9lJq_ zBmVWk5dC)h!Lu!gon?O!-+7QTb`N4Q$DeVdfI>dAqdka4`GXhvk(A`jqEk^?u9p&b zTPIg2+D4kF&HlqJzMD`|V&kKdRQxXLdw^VxeXmaN1ovI8Gx%e=e8r!i#WBc8?(0%@ zic{#9)LKg35*obA1u_iHEP`@DNOS$17Cu}bJM*#-M@E%LW#ylZByRPzp^7$$3r}bK+Mn7gPM)4+UK)L zHSeP++2>vO1PW~^R$K$Kf%J@*W>?S2RS;e^{_4C{XXuAn9^d*^*Fn-@U;w56O~lmB zDJipwSg+$y#+8dC9r5Ht$rcz=?Gb;mSmLz*@IV#Ae5uks$dyENUZ3 zTsEC;f})zdS#!!-Y9m*9JYSO8gAwD5F3s;QO;3I8@}*lBkn_FrB!dxg?64PEM^L?&y^A<=Vv>hA2hP`6lM=}eF^Gv=&$;>@T?qmng+pHr4-QOlYcho&c) zUvBNB!)||k??MUxY{D!aG^2JkDbB-~b)uNPHparE?}L~!05Lt$8&;39?HP(J3j>C| zMP(~!1~?hJJ`6b}DyiK?!2zN1L8Uf~(4fL~{2Hf`GMqI7F`JNogvtW)gg^{6{D;Z$ z6YML@funwx=K8SmDCFx+G49NH@WrEO@)^@9datS!N9JWaO5PR>8Ms;@+y)|*`#k#t z!eR(@5-5chsFHG)3dpQWcUg?pesx@gUb&e5vrwvYYhgq}f5W>{Ocv~aL^X9CUrHJRv5YJ@ zxu2H`3qQX=gp`j;*?)`wULw@imxD1+=qWlgd-7#toS70dXpvT+mOg=e=G%K%M70K& z;%6inJnAzx+k*o|%I0ZqpC|20Q+=|8DM(jRF1gr)_>F%0H7Ayu5`U=jBw;Ayb zmPp_-`Ewvs`y)NB^=*W`y*MKVO(PFhLmn!qpa-}|c`h>rgbT{)Mil#X%raW)atbpl zlb}HH6B<%GR?3Nk7WCqw`6KS?QeTP+-l&d3SfZC#wxHHr20aMUZv>5lJ=pmYFd4GS zq~24+f3pIS(|i2D6-FNLLWQA&PQK4yVIlBucG%u{k1!H5rtVqama(aW?XJ9py&^PV zo5K8zsLSthF>SDk?Mp8oYmN5UsxsChN8O>}j)=^*rW=0~cU? z290|P=QyMKOcOm3SkPXT2-a?IFAM*!s==ECW2nzQxNa9n&`BPwq@Cfl6$c0yinv{^ zL_H2*JCr~>Oib#= zQD7YhZT?M#dD9Vrq8CFV?PAZND*7>lYKCgY6#xSJ2Fm3>#@7p9aA;-bRMd=pFc$@> zPx);}lWs;MWHWm*DxWgU94`6L<|RU%+Fy%i8$iDnJLwsV*g#;k=g`Jm9m95hpf0WF z_K~1{X1^W6C&{C_98~=NY885C5Z(HZXWDG5Gw1YDpGD+o*8Wtvv0rP3Y}9uJODvwf zRZVSDIJYzcx15zkP~z9%Zx}Z(6=42FVaqHW!iRc(O!LFw6yrGk6c(vY>BeB8s|H^x z-uqt7GlT4VBi%N`XEBnI-S;vh{3!=fh)ZKLo5X_O0L2%0?k7j z?q3q&iKJoMPrUP%7%I|Kcjqx6?$<(M@MZNZ z4^oepp2xY73Rf$L$^}zAE&Y&77}U$Izp8pbv90Oky-j>L(`tfU37gJ%eCCED2bJP6 zPr%0Mk%l(nkY%P&q0(3FF{D?s_sX2YWm$OsJ7t;x7Vqxb;6}u&s~5LYW)qv2*T1Gp zRzTj5GeNVFtpqbZ zf}pWtpS9vFbg~_Q#@PD~s0W-;6F0qhM?--zb4#E%w&+mo=$Mt(Cn~cqLtUiXWh1p~ zVUd@PWLN1VGi5b3wOEg5b8aWg=Aa*A_bt95!(XiTm=|W8D*;Iwpf)V5S+%WYp0I|Q zu)RHuaco!Tbyq`omzqNwFQ5kQuM;V;!RCB_J$VFt+gVv_>COS**QMU(=!!00i5qAe z6DLPUr*h*|VVrf{Y7allgh&j|do13&RRDnxHKz@A*+9sOlN@~cC7*{=+U+GnGkT(< z_B+3nOEl^UMabf;Wu@#N#23Xk1K)MB<_qy`OxJEj5uW2>W$yN(K@f@KIbPX0IM@O> z2E^210}}+NG6-RY2TTNi`uoBeDxK3^m0xC_$38gnnF=F1hJCJ&2Vh~iorPz{%$h20 z7I}8IT(cmNH^K7ga`uAb+*vUWh2g5|V6W6~@>Kpt>*od5*!*b_)nEgQ8ACPE%7oac zf61S-UGS{LI1fy6>B(h06FLuh2Pu#a47=@jcX0fODd^0GfGhO!k>mGC=TB6IkNCLjMUEjuaDLZ4_UD{J( zmA|9i=3EfZz7jJ)hrZ>GYqrb`o`e68?TyPV^8_x^cqP2uy(us@rd`@ z&|BVNQXbXHqwl zG{wOe9KWraSz0Ql9!e=I?lfkMCC(gIJp~;f9bFIq>oqki>-8knYFv&AJu_C!J05Wv zt?7S}c#Qv%o%???{~7-W@&BKEj76xGrLW9|=Hr5+T}ne6xD-+*){As&Iem`T44m z5XQhpCX6$!%<-{xv|qREASrKsEHrJ(v&y5_e)VND0!v0fSXV+e}r5hu}o}QpLvOcW8zv|Xk3Q8zs~|iCN^@0hnd}giu(*@^jJQKVx_L{ zPsqt3n%AiEx`%ER`V7O@XF!w+M93SICyWdwR7RK^lpstN$Bz$X5vI%|oezT{j4(wq*u6Uv zXU7uMm10Lm&A%hmeq1E)FP%T7s*8J#*$1|(xpO`EJD;u?|8^*F&-s>IpSM|xaL)b& zVkJVhfNmzRPqju^mg31K!C*dD`cP0MCKkQT*S=twIHs8(M7oo%o^H*=1M0)D;Gt~H z?^;kRPBkyv$e-j+a>k!Gu1DgQbM9}8bY9v)o|y^ifvG6mr}~O*Mrt{|1muBZnIW=r zEhrVEYFpGqBkF69ZL7Oi6@PL4MMi{|<6{N+9yOSUMq3eh@e;sqNwBR+#NZH{# zv(f(#PQ8UjCgvOp%E8{pO&`L5-=my?qB(}6nWY#{l0)wWrH}AnIG({uZw74S19T~@ zei)G%OB61Qxa*sVe_I1z?d6u80fHJSl&aFZUqnNv?YU+Dpxl)LVp06Ei@jG1*UXmQ z^9l6(-5rnSIzf9*5bOW6vZ;cF7dJNqAwI|Q|>YLE*&v&klNmNfIclA>+4-%_xH3Edo+Ppc>s<2L$>t_ zF8OI(F;oUYl;4XdKR3&g!^eCO^F_5mlKM^O&ru9Sw9RxBJfbx=< z10vhP2A5%0$c6>>>U)H=66f2Q!dr%{eF-bx3~zeVPneOs+kW;^QG8ZdMTGK1mhsRl zsI50N^6x9dXQk+=?aG;|?bMR{29t>KXo)XMifoOR2Sg0lq>Dfp zT)nyo9sO+;npT3DW3g{w)~!@Xw!kw7);;v-NR<%705k=NDrf2zM1fO26HaXlq!55& zvJ6LyLE6%x(WXrznivl1GWbXm+x4d+<7kPk&1xqh&RalZ|7g1VYUZ9}bz?MF{ygJL zrJ7};LStFFU%S^O3Df`03SuE_+c835HX@C+ot@0CMS^!~%Yc#1tJ~)!)~!VsZhs>b z7}86u<->JN=hX>al}V3o8B8T>Hy>5tfTu1NvO3bbewQ&y)FVVwoaDDabxdzkc7?&L z{Q0sh*@aGkm|hnut1wl@E3KA_kb*7~wGEslBi~$I`GLHc!-!vWE?k*ebu5`GBgal$ zTEwfci}lU>>NrGOz{uy>c~;$sL95hLF$+a~A`is}quN>V+l2B-rFfiM=OcJ<(r^jz z!?`kCeO4L`wYDn)jm%={V7tQ}srediKhekxwC|-!TKv zV;DvtIA?3|kX~RPP~A4D!vLC=P=M`}vnt0gcwGdZT!t9>`FccL9{NHXL-=F4Qn1B2 zoOQ9&E|R>mI6G?32ak6_-lwa%>*^fW8bh?DS!3I7Mxh$!Ndf@K+wEv;-7k2|LNM#z zPKVwy4R>f`H3)%fA%VulyRz9qnAP=p3*rdeFH@p07 zmat=7NflKaMd!$Cd=<|qE(uun^Yki1QZ*W2I1FqxcIf>BPyK*EKe10LReqpDWC{D@ z=T~Q%jW@H&bCA0|qk=6m*cwp|1b)DAe;)qC2)gjG2P}M{*K9wWbggP1HX;*bg!Ua zB{auC=(n9kAHWB(Go_pqzJARPH_m5A0a>txO@qItM_tLqSa!w>@JBI)L1RD$s}>X3 zg&yt!4ze)-lgDC&qS|N5IyHpP9Emn1Nb=*88kQgyF(4xZRwJ0uDem>4f1aAr?c==B zi#6;+igAlb_YIWGQc=I&gcM??l|p79o7oD62HXWq^VZShAJX^8UaGSX30-6ERs@XD@WoCB2PO&=56Mq!P{W{+_Xp$^3^d#>=ov6}@LKr*uW zP~+%qe=G>-(IU2A7#G8b3C&FDD++WUD?D}qYK)pVuRD?fLkDS0cC(iZ^fa8STc*)| zV>bsMg-Bnj&?t~E;%9U?`t2}j9^!6o_ES7Lfgl$Z;1GQm_I{_Xx;E+(<*7T zl$tU-ewS+a=q(h$OiW;(=YJaUN`7W(Zptiu)U7d%`lftom>=Et#ncEy+8I0a1S}p8 z8_Ow?fjWkRL17$E1~c7}tpy@mIKQVz?mK&_D^pom9=tTInAXeIwhrRH=xEo=R|_P# z8De_tPi<>nZ=M%yXs}Ai*jS9hCQxX-MhQsra<%zyoeGe$ZjG0vTx=`*Lz>LqS4QqE zTZq8+hv*Xs<_um=tTl0P(Xo-mh}8VB#!T*L#-@;I=yW$(`iyPgBcW;kdq_=7MM)8t z2FZN<(Y1lU6u!MZRLDMFX+hd#ao`Yt$bdbgd8ErE)fz?WyNL6r4tAgHP8T*itvp^n{=@DRJudXK?M`HKwj#Vj~ZgS!RL(N^?#P15A`Y zj%D#tR3Pumr5{>g`jqhMJO%5t?P-RE`jNeW?6I=^wK?MjPP5Wzpw5#l#QUE?rE9wtqu!U>KsN-b_J3%>r@c__aFpmAJ6g7G8y8_+C{}zh38?8yU}#iA>r|% zhQ|c&5u(#rP?q*e)1Ktp6qlI0d8@-!k=GXEiM=twO_f~zb~=P~tQ6-s5IH05Cy}6Ek6#UEFU!} zj_>RMIK0B8=|8)CL9Vkb%=*#y&(!yRfBt@dfB!s>hm>@N#4`#yIw~3(>OYO?b%Phk zD?Rz&bl-o3oc}k%lAK-^MkdFh<}PlA5gb6S3;N60A7Js{4)~A3=l@n%vM~QolDCuE zzv1M{at?+uDJ3BSI70ywV$-@ZP#q;cIbj5~zO7F+0@_+!ZCH3dFffoN;@`^sV1H<9 z(+Vd&CMa58K>=a8#eMmW?(?+Aevcj4)$ZmSj|XT-rZkUhwVx9oQbIx57=$ok(d>rf zcTwS(mfvh-x<;0%H4-j!N*I(d3KtH*Vi29;u`h_h5nxO_k7?bnncdncEbT0blQ`uq zVZTKY@~1%VJn)!^2()%!eoW5G_~cy#iuuB09|?qo`SkG_QZXbt31Y>m&p$>)7ruy+ zfULiP5E=RyAeE1klXa#-HIs6ov@ubLTIw4!>6KrsiCmadIzHZmM2E#f025wBpGVin z_iD%XHKVScEULVujDpoL5cjaqiDH296EN!d5mE5c{39x*xVnmbKDLw@XsGDq5wUW? zqgMq~1hidjoL#z@s9X5IV+Q`fht&@!(+M5IqJyJ60bjs``5=b}!(&HtKtT7osi{iM zXlM*|R8vGsR5ZYMJacGzU2Gy6r^`_eX;&;ZnI#)ACN*u-#|#w)hkkLCZ9e>wHnysb zZ#z66A8jgyl$&gkz2FgBjFI$2qW`Y;I!Fd#c7Ysv0+D2up^$^b`iy$gs|d}5DEgEP zQMUNS$kBr^{b9DGnh+}bq12-$W8WlMypB_BUpq9>vx%!p62B146z%(-V$>= z%`FfaBNydo^6v9`d*Oz;)n&Qnx#nP;MXg9KfXqi~%4C!1C`h=IUrE^%Kb$5wb_vVw z6R43<#BC-vJ~v%uEWN1j_&jSY)KvfMe$##}e6(D|%)>9}l=#^6&H~ARRAWZ6sT#)e z)c*9Qfgl5tG2vJ?^;Pv&jhOq$XG^zT>+KTl!tS8UnwT};tz*q+twhHo^^%#^Z2S2w z?C{|{DM3?Q<>GGTDp^f< zz1s^Er&!Ou&Gs`-6qyhC^L0!iLq`qDCFbZ1Ve*!xmQvoD7%rA=6VffYu?L==T zriNydI~7{xXE`MbYq^A>W6G;`p>-jL{r6+9`!OyEnJ7*Rx9)|X{U6dF zHB^>=N9{vO=^y}Q?9VsT7f69hNXn`+tq+achIhenbfuZyMdBZ5>Z8m>g0U`LXBqaC ztV$V$iA7Aa3^s>(7(x;fC&~HYR~E^ycs5DFfMxLaiD4g`pFORwH~)jp`ivDeO=AbT z@|Vp+xstyF;zxfXlIfn)C;mkJR$eN*a305+K}XfuIjh{iZ`a45rWW90Dv+?jP6F?K+athiu%OK()_K48($=Fb|IJ-Q63-7r2fQ z0=XT!JIl@vRX}c*1Ao(5dztKhV6nVC5~uqj^V)#r9xemuY6A6!Ytjv3<7{lt3hl(L8B7a4~`j z3a}f_7h>ggi8_`DQFFHq7H-Cb#;D?S+KJ1X{uQOasAhLk8l$U-_F5&kptk(i+SlRU z{jNyk(aCPL!0`QAobM!tbdQ%2d=h*VXq{pS4?P8CM7H|gM)j&TotJ#f_<%H_L7VB} zRI%gmyjV7wneaKLHS`gEGtgElUhdbzlE1(XO_pgOe;w}~aZE<5Uv>q#h>E)F8nI`JfBdlxoWbqg?LmEU5ep9;ApmC?kq73|J; zmqN7Pd%BR4HfdmSG0+Hw8FxYfVwKx2Xj+EQWriNy647*!o8Si)8U#7&C*)z<`z%k7 z8r-jXdrX#|TSkNsb;wRH2pw6#|1Db?reI?j&RnaQFpr$E&_2q}EWwAaDb;ulcdDVj z?rPV!x#f3>@qrjB5YU77^e+5Vjg9&#h~?Tf7#TPVLCY)J#1Wo#^h$%_Z}#zKu3g^g z$W7XaAbF#>B2W#8Hy6obXI7Cuk7MZ46B-7ff$`Hen*GJL1dSe_ni@6gD`>WmX`w25 zC{c835i}sNhkvjugztg0ihO z^j9fxpKj(|SCyynS(X}K-d&O|o5FP?xGSa9D`_G1gpy7LsVr?!p(k`nALiAV9`IM} zE)TOV>Zkuyh4Qx{*oCUMNp_8d%sTQf2<#DA%VWrU-)4bT;b#J~|45VQzy?lw<1Nw1b++LVty=q3D1JuLIuI$g9uY5iJ zRtp@}q5>9pg0cCZ{Mh>np~M6p6$&u6EzDpT*RcDY0rdyQ>`})fvM=7NM)TyU{5h1u zf&26w4!3Zvg_cn zpd`$l-U*FJJeO@7ko+m5BF>eU{VcY=InVG31Te;lw@9Uh9x?OjH5K zRhxK2V&qHTW%Z?6h+uY^k5m1%uoL-)aD3AM5R6xYrUHEJehVb+r7T#W(#o1iSDSz z6CFpyNvISAY?*W83&l^X=Jw_^9|2V0GUvYDCJ2vqX%N&q_CNe7Wa^qO%B8?gfm-B%&vzKrs$rLOuB3`26GM&>%7j^`C^7*GF^4vn1VK$sYE zi;GL?`NPpK@npTzzC0!=X8xxOPMvdj9LgZuqh{PDJG`kAl9NPr0Ek^8UEy>`i8Voek-TAQqoX(=$z50ItR334Q`ZRVGg8>F#iJp4w6HlOTPUBXn!eZ~^b7>5;&Z_$ z_V_o~dhOM2>?BNmM(@1r6R6hWI*g=ajllA{QG4u;)(0?bY8Sn|H~tFBQ72DgR-Iy- zJ?aj9fdvp8kJpXq#Q&ZKg;1wT8V-_gZ5ocCU(!NlLM5>kJ&=cp$0s;nkiJpu2j-p(8&3S?gFh=)ZH@& z2-)ACjfBjkJwJiW5{veX7#P_0fXD64at`N$$OLa;~>*3|~gBBT034Li!g?{@)B$Q>pZ!uMq6D+hGUlxi}Qmm#Ec*)j zc-sEBHWvCPXThd$uptrjnf|;loup^(Jn6XLxLBu^h&;43uf<1l0-I!b2G;uS{bzx!mexYy)D z()38MZJqufF)*qTL7V=Toxh_32_$LlwHJ>_@Q1Ft|FE*bJ}K#+P{bKdU&bPY1ygc( zt31HMBxZiJ9t?n}!Ka;*NRsk=p3RWvT(hi!(dae~{MJ0{jEb1JTAM>2!AJXpm)cd< z>U}#2hFdhZb{qNUZ;6fO%$o>Uwc40W#@6S+4D1W;CY|&BKrGFGU+DtBwk*E7Eq=T7 ztiCCM4~KV4x6(5a5|0oOd*b}nHk^~Lh#&A$++9EG@R*RF(un9$pEwk;3rebYpM|ET zcwCRM!#?0IMWg@!*B$D}hnjpDWD zVEL>q3s&c=>gnE+r=8_q@;&j`*>v>~nYxl^-)qyus*Z1v%K{Qao1vrb!kVI&=| zqHVR*GuPRdjr`^lIxuzN(I6z>VubD`veZ%FNvgKAtv^Sqf{{KWhp(W)tRYn+N>vI^ z-Y#dPZ|w0&&g*;+vu==@E>|hug=%iNpMZ5MK(NHh`F3AdUwfiJ1y!UIJwn%8}-`t92DZFm1r#+x@u< zqWm9m<1^IF- zPuYp|mKf>Sq!2z>kqyY7{lt5o;4W@o&1!G)mra+B_P8}a;6Q`P?)g$0*<577eVT2- z%^g-n;2W0K=fy?Z zNGPi-yHCGo3Xi>fM5OD~XQ|*^l1-%*q)y2?5f+(^B4EbjV(@3_Q#Bg6yDlrhfY9N` zA$neQBr-E*U9zqXAG6kG<~E++7tNW>qQjd~kNOVI@`W!*|2gUxm+DGin#$dw{=#h$ z5YUSmHw|eMz?B&j8)tVFl=P_;n<>KtPifSu+0k$g(hz*%ewl6B@T{s+rCMocdPc$W z*RE0G%zev9*0ZmD%Y=VibA*saKTbqgp2O%iW1%F=8=L0aig4QuU=(&OszxK=To!SQE8SEWaN4siP z)A1|<%!^SWCfG@PH=&#z*YA<2Ve~iUaw;8VsDOj0qM{uC;4odU_xeZ-$mq2#irpro z6;FD`rUG4o6#XODc`kF<;N+$}4TpiZt7}7ZJvns(Dy2-ysjoNgYFL#g8q;z#RLHNv zeiPD`+0*UvRN=mr+hpztZ-rkw8t+pm>oMDLVEcS9P9^l^bIp!AG)M4>RppcTG+P<7tqAXR1YJ*Yx?1X*`S-#+4)*d-(9f^&er#fGRgy4taMRgGH^qkyku1e z8p}=xbcHD?bPT1|bumeOI`TD|nobbsI<}RpS4a7r{)ht~^f*dy$pV6bD}L7K{qaf9 zy+LjnqG?c2z-nu4Z3u>*7BbMwc2uf%bQWsbe%g4_UPs4=YkqrujdxaFT5fUhF5%t! zV8(3x`fsl7f2@@JzinZr|FJsqfAdBRwRGQ~K07^OKi}US!@iL07`DKWzrHXatNzO& zO#cyT`rlf^jO@(+1Ks&=Z$%Y(1ugqm8vbrF!MMR?R-!qZ5n`FFoW@^)BLAx0`$T_% z{&a-Ve%!T+!(b(}wJ>}=x$y9Hs4Dd)K;2d8Yq?IvlFGVzRa4DOH`mpz*Uc0t;(PMj zy^+1m^yWv-Pv%1o7x3gX95MuG0~-LmB3?0~Ym;rlzzHfXJx6n9(jYrP#uo@f2oj?V z_MwyJz}UnQsg^3!(u}O5&WidgBD{8^hd%tx7cyb$n ztP8g)Wl75l?-5!DtkKtK!u2Lrk$;GtfAnYF)hf6pBqe1AOUXW%lb2P7>goAjy*~6u zn^x7b~-(9|q8gn3m6D_`Qk_@IccBEC@Wo;{6Fv^+d6c&tUz39C(= zC`zfqaV%YhyHL;W4$CZEB8&X!+PqDWc44%jsJ+m%O}#uSL2|_k5;g%)9^W`0b=Pt9 z2diyyON(-8^k|;Figj&eL7^hz>2H|S#QL^YnQ@v}@@Bv?07Dhv^O*Aw(mS-zK+;x>NI_zYxy`IVjfje@l$n(fEuE+EFlf`%6isj@?u8BbP*8Wsj8qtNvJ zPaA{N8vUGKwZFm;oet%QSf)=-(1;sD=LilF#lZ>TPcR2@i^GXn!Os8vJN;bHl|}-V z5^i@)y6&a}OM|tDsZ?7-NyzgPv!1Rhdb0WE=F9-X;?#?H;6$!MTr)-B?+t;cuu-bd z@9WYlqIlX}_D-(!%rLji=hWo$gx_(Z4recCw&|}~43CncB2%*{c;E^P{P-LGj;7V* zP{vQVe#OSNKW9E_a=uv+gm(FOs5V0jdDr4}mR3MSgjDl&X0EI=9|WqhPElt`$h{X7 z!TpdK14&9eod>t`=qa%cB2vUmbFyiZ|HSScYp#xloL=_KH<)~mu=3fhXdao z!x41b)ZRFYEHty)DZvqf8a|13+cj5KvIFr=4nGY~Y4JacyfE>sZ+<0t7#0s1{?e`m zPe%E>CQ?fqLbz$~Z~;Sls;(@rq6`}@8DkDUb|Y3DBOlnJqvCB+jM=!{oPb1`NVL?N8xOb&B>qms@#Rc}WQv zbE8ThqCE=ap2c!HM*XHMwdh@p%0gh!+8W83jNe)>>=y0}?y?mlsrV>d-2z#GKj8LV zs5XMIQo#;85H&psP%AT!noQMsGOXmdYqYgZjt$r2FW!M z!AHa2h6veJ#}K9mgSxg-JqGrH+_&$}*KV+r`Ocm}K5if!_1XQajgTR~hu8LY>D}QZ zIjtrJ?eWsil}Suq0zU31QCAv-Hw7UQ79(I9Ts0mh~|j4^Y={e9%c8sCKk zk;!b|qM8AT*;7%TN~5*UrmrkSiQl4;pQKQ0LE>!ukQ|ltW!nEB&mhz?g7$3ZWnDob zQY)`0T3&?q{FAANk_nBPvM6T^F3(=tm%Z0LN=fx$h7m`-)uQkDXLt8pZ$VLOLmIDQ zTc5pvnzj>$+EQK%M_lRe4{Y_Z$Zn~v?vp>W#Y+#ZvP3Q}TdyY+mG%TGSdQ)_O$wfz z6kV*Dx*QYs?-}}hTyJhk)@;Sh`<4f5{6<@W;6p@>)vb?|BdX2Oc}{G@RwVWEM%}|2 zPNbC`dL&BhUk}g8G^-NB<>fzut^=RCzAIuy5>+Y;f>!T32Kc1Jihy!XeSHs3B`hvf zvw^bF=^8iOZr!idyPyL51dHAI|Ju6?HSzfyUup8hr?0Qm-Weh_3b7;L6Ei{9q=2s+AyS?xBsDShwjBbcyUWwWXtK#}LWv1)tf(er22 zZUwjjSY>E(P`Lr4ul?89C0@ADFYOxsgBGy0g zGQx8crbY;A)yeqrUB%%l2bR{kJdqCW23cPg{eaSHf(u~#o{fbw)Q^PZoJ+UH3<)zbWH~YPp9B#=yhl#VeA*CWC0>MVII(XR@F{=wzq_7xKbff_ZRxH?? zw6})B1tGX}cQ~mg*DFWgsO@!QwHgl&QAZT+?I8v>m%4)5lHe;+oDf|B+)BfCV@?et z=&+Qw0h!eDq|@R034wEMNl7Y=j{J07#AC%@x9Q%~qTEtkW5SW(cFAXC+33KEnT0IX z8>?IsO$k%gC5z_9rzYsNmBc1X{C=?;BX7Ft24mg0#++!`dPq=H!Un*tsYWADt*z!e z_O2*@AIRl4lcpMHO*3_mFD@Drx?09S4_+CU%#d%SX`V9S%Qy9}F9(O|-D+B9BPSoA z;cY%n!)ER2Y9lwp9jjKyRD&Ds)kfs;Y+aKjzRBbHp^lmFGC2x1oIUkMCrN7+RO^pQlgyE0R<9tw^Tx|H^%fkBP z$Pz!E$GaulTrPm>$SV&^|NKiz7YgAIkgMY3?qC0WVQrR$T?4!8AEKT`05tYQg;^dJ z=w9b9s#i&*I&*`?%Rgw5=K%_(7?rb~u-G<#jA{gIVzU4lf*~TCiu2#D7|YU+*3G zH-|gern9h{tIBG?A>iGOsLQS9Cg%4AdGPHj81FT_WVAw)RUB-jv`PW%nts=gEsL(B zhaUr5p(^>`cJ@r{ ztnB~Xg4at8P*l-CAG;yxn4RM%&I(KIS^Be5$)hA=h@@dxO+!tMnqW|5*On%Tj~GZw zN(79CidvdcLD^ii1P&U|+)huQWj@bshta@Tcz3d4%t2Ro;NHe#(shtCrpw*Muze-q zV{z^GCy(o9=jJts#RaoOl{n0(h=ut9*8IKkB~}crtje0nRwjMF!~((5rL;qGA4@7C z!M`x!n99Qmi8V<@_jk(T=9wq%)Cd*MT@xfzEX&YEhZbXSHpR^v`*lY{VRUx9>fb42 zqGYTwqELW@3as&3ex5XwcGNIyv88(kZj030@bDoUx=rmbRqbQMBxDo}0RsJWnCd6t z&cgPs{l@fc(BO5-l8aE;o&+juVY z=m&GMo}-rSQP4+ABwEn`J$9&dlTtHO9J7*U9~Hx2Au|(C2&@XgvNc-Rx0`THOo`Hk zvxb3`l(S0a30=oZIP%g&q2i@JnUCnh;G;8E>-7%H%0{{AUim2wJ6zEi03|+e#HhCR z^d0^jFh(0)yPz0&h!l=qNctBW3gIY{Pl|I<5}*B&M0@m>c%@O($~@cM_nqmpRx$ zH@53dfd3EJo!(ZfHAG)|2K|;qe!b(FiNX5kOccc7{by_R>MI{HKios}yPlkyczIRp z(pqEoVfy1E!4c1>p;`5Av9b&roDd{fW}hr|i5y0=U7M4ay}cc|6yuJUXHwrP*9Riz z{rY;RGeN*HI={wm&eov0P*thoipfzGw`DtQV5h^;jJ6YKf?hfx8Ht~8f9GBemYW|} z2P*=V{LM$XzNw0Av8WZJlZzHLe?T)t!o+!YarQUu_xIBm&tatQ)3W2ay*vX%W#R!S z0hj^-sW0L=Z|M4P`98S|HA<9_)BecT@K%#0$5i4z`|S2DYWR&wC&((U^1b9(^`;jr zw|wd@FQI2zoWs_W*D_6v4VM5VS(0`9jKE;Lz-RvbE4w-#hH5*fIE9f8%*vO1XetPF zOCd77K^RSLlTHGjKg;xm){U)?K^_!+c3gFx%$)}+_lNTm1?P!qE#A2*XY}N#*f3PT zOEKrEYmXi$9cqj;2z=~tkVz5GKULH{7P+Z9;ez~I_-ZegAtcxvX-;w&j zJs${$-$eTyzIUoV=<`SG51v=*pU9m#2$`P~`&Ne<6U2s?vBu7^b|%snk2u`khfrpL zUO?IYq}7BKh3R@IfSuntOU)V#)1!cmhumM{xULJ?~PljhoxIY{pFrs{%%k3 z9X@_6YMh5KpR6NLSimpL<1gfUI9%rn{dHh=?tn?~?NVn3fTrK(gCEdkMUM$EnFA&vY%UwqdTlwFtk# z-nZobk@?{1-UQ$Aw0Yv;!b_E~>GU9|zT)4ge>=STJ=bT{phU*zGd7+)`hC?i6ejUJo? zgs^3zn3vSSyNJk(7_y=?*KRH{6H*3VreO0Y-l$8nb4(ca*N-pvFY3#|f_H$V+ojdq zc%o({I7L|WD{xn2tMRXEIJdl(w(;7;>$qOVt1zQT52l1Sl|VldvjbE1X#G(Jdj-Hz zLdvnnr`-qKi*jpSDT1T2oWT(s^X={FZ@At)w~pS{3EU>V=_Lr|R(CL&$o6M=~xnqrbOM`^Hc43uO!)was!{7W6E+0E?ow82`%F`a_ zCjz`)&G@eMv%2RsV}$ziQn?qT>MsC+RLFbj7T;WwBLx@F=2>cE{1DBKJOj@kDzo0u zXx@H4JkRsH#UcCn%`2``e$N*>j*!=^)N4id7anthrUH@$m`E!2R3>0L*^F+5I%xpDjZPGhYYAJu5?YUToTI@ln5?uIz&=7 z&`MCy{Hcmh_>@qaJ~}d9WKt41f8RcyF)LS!FEqfk0P5vhk-{%AHE7Du#2jFy8`4Ls zjg3Q^T&LMJDq_tLACbxp@jgLpY^sccQpqY#o(w)RDo)SL5*-V}nkoU21vWQ3oDm8a zKshSwlONer9UUIo6ny2J&Nd}yf?`q%d~aFVN4rA7Njv)ZZGWAAqjxyJ$8QA7hq#?~ zHVtde&Jz9_#AG&&31g1`z+n#Dl%O@O$-+LZY>s6zRbz^aMKPMGHPX&ljpbnucQ8<6 z(aN|JgK#kQ!oo}*0c9?np-7$+X=PWB$i9`bc;t)=;@N}K znKfe_L=!r&gKQuvc<- z+Yy6z7_`BW?ia8Hc%wwWWFw1{L^G{Y3M%oGyoA0#8V17eB6iJ&Z{@g%uo~NtVrxZq z=-K{Rc_Qp z%!7nHG;}C1Jt9ke$%Z8jx8{HKXAnBY_o; zLwYrO7kwudb`hTEg%KDtTeE)kegItrRZ0CDb(eT>^zJ{axt_%GM;1r}p`68b5G>KbDt)AC3>eI~;NgC?_(7uyV$gs7;Mq$A zfF?y5ha_Ge1Uq<XNO&9VzX6sAOMLyK3aF{Q~BU>aDZ&0oUr4xa1KTD zSh3ggU3OJm*f2E@mGa8}U|U!uayGvMBY()g$I?VRze zXaBC_qT)3y-w8LgsgyR4!?vu8%5$}&uc=dId<;G&0d?EVWsw*jlrWj$%6#-7q~lVV z-i{3|E;KmImSXi6PGi9k8f#O?QI#R7qx4{P1P{zgO|`c0it|;^Z+NUKa&7dk2nQ736{ljTpe$HbJB*FGHn!%Dw#e_yncZUw z8D|H;lm?kS+yL2xk(j?_Z)mL-@eJ%5h9)N2!>`BL9RMFShcMa=I(nOxM9MgM=_=YI zQViI38bLJEZxmC&0>Q6?R(tgof?+NQ1k{tGNM#v$O6!D|9}h);gm#H?0@Rd}wVF9L zD?VO!q*cBB(~(hTGm)oE6*@SeZ>vtJM)*qQ(AZ8Fz&gyB)!~?v=&)9ZVCIR-lQr(0 zuJM@-9(+%#=yB^QTxHnRQF?4YF*cTeJ1M)Ah;Ys|F#VayXrRBW@TyNI;-y31vv3 zFo#My$54kku*y_zgKY=#h*5T1glt5&r0e_quhxTA9LCJP z^sNnT(;CvA-ZciHA^&6=?Wa39*SZlESbj$_+`IZZX5Ff zNzv>)rknm-%+{H7MH`*NR@C(__Cd_5H&!6i z$#{ZeK@f|JM#I&xZL8{7`J0ZcMMd$DU^4N?s#aX^Vbyecb`iVcpWm_UjIF+%hkhML z3>$T%7MS7u@|!{f#@4omx5%zEcf>r2=dmR z%hc_2V0@@$g)^e{lLW3Ogc>KF-z}Vd@>5Qa13w2J`Ah*w5;GGH1*`qtffHj^CdRk| z0UdDn@qE6jflW~^zrEtNvc zl&3eLoN%%Q;!gt!lE0Bob589U=4IbnY_D0Eeg-dKXZMz4AU=9 z#;(vZ9b*fP1TjGrd2@8BcAhh&{M3gEvbW|Y??z(F?O2b)@#T=?{z%f}AMTRBW)4Z| z^IN$iw@BhQAn-tt-wq7+0R51Lp3>5!qw2;BVC!JM?P};|py7p9`6I4jw~Gg~?-C}}yV+ry2LF=wr>T~0yWcKVA#sW54)=Re@+Wg3b7*R?Y zJhTsl%OMX#-!^_Yy)hsDS4DehKV-W{fr`)`V)<^+t~TuNF85jYI~9Lo*#uP9ko<`m zxZ1dllhhM0M;U+r+|#lukxJq6a}V%UE1asy*e{5cVoPSZN-~qtu=}~j;i~q=+^4f; zEjX*Q3(@CFnUqS)L=8D1=s4|xGTi!Pn*>i?tKfT8yt+zWXa1X{mHPXG*ZfT|#`nmC zfN6pB3j3zuhjvvS^sNq%bK(8UC05V%&(^OkS+TaT6>RT1oDf~GUnF&ic8-x2?pf{lXnRBLLYU9optOKQf zbk=y95okCvb^)CYL1>@%{34WR1Zo}XA!!j=B=U!1h?jP6ZMfSLvMQt`yZ~+4@*ZDS zPil28cajjA-dKEQO^VP0Y^HB$`wd1mZBH1ju+jOv@-3}+in?7g*kK8D-R#n>%au2l zW1Ra_c9Wgcwe+#TXwlv4T*uL@HrloPnXQ^{iQbdfxl>PXv6qj!TJK72-E8Z`Y;oy7 z%=qHN(g&>XP8W--m81#fHrKyEu zLzLzCrVw6helW`%h>O%zfV#^4j_}TA!gL_1WQd|Wkp%68u!*K*DYSWlVq-EXVA~bm z@dw_1Sx@2%D^<2W`yC1j>@ZsZ_?yQotAh~fjH{_f3f{I_+_3%f3Cx$1O$M%;HNT|Y?OXa9{T)v)2)>jwKH4|#UoUiV z9<@3N`;|oWx-}cE%b>#%Dw%~eGXmA?I;BhM zKh-R8;~)962N|a|Hg-L2;r1uJ+K_K)8R$>S;uf9~E@D;BW7Xr&akd-6@wqx46Z5Of zJ-$Tc?d@mq-_obj&tqRP`WmuL|Ak?&{zJs`KkyOOe&*wdATNz|Wq9V& zo*G)RXr9wD$DUO(Bs+v`i%d5%d@J~^ zgvBWALeUfS(!B(cZ}8R@OAAI$K^F9bTh{ap9M{M(@_~fd;Hz#SlrUrwG{!ComB@AS zab!cM>VD`MOnO4nJD{+EACG2+VuR*P-#Y{9ilmDD8Mx?RvNK?^Vx$KRg@dM!mM*8* z7??d6X_lZa#e5KL-QwlAhxh1~oWDYXv3QAo!f}t*D^{e~@KY+>w0&6Esqmd0N;D#xL#7sMJg#4Jx3MuI~ zg*i=+ng=4JXCoJyYrsVfLecdW7WAV|A|xVXs;t*H!$2q|-XwspmU8#^;417&c7CyW zF2nv4?G!$srp4itj%NYU4%}$p8gG8Gj$kqNxY?B{EB<8ARAZ28#nw9muMnTyW#pfq z9{k~~*sR|-GZVE_QtU+?DZ5Yxo;;hW&_jp}Sh8C6`+Q^IDVAdUlE3rS&{MTopWg|$ z6~KF{*IqXYHVSsUi&SSYkk6XvF5k&cilt;H^4E_#lrgL)!pPK8(+m&RVGJd(eu z-gh#mUM4?pobEhLP^2e)k)Y0+3zrsbtr$Bi;Z@&%KbF*Vd9pZVFo&)-)&_a`2zwq^ zMa0Jq@)@+0SfYqsM@cwJqkVmlT3&!zhZr1cMNbymU2${Jex8ewEdP9WOW8%)D?6v- zuZKIlFGm|^FsY9l7%G!Zw8A_ZbHoxYg%F1$ZRA>&=waE2_fsZHEJ%Q*>E1urVC77X zzjt=*v-xz_tbG;~g_q!4cL#>H6xQ)E8%q%WkB1~PVwkcB6r2lHF&XH95Wf#=JI!J& zW(PDT0A7bV)gUAjg$T>}!m;_A5>9ZbK*+?8KP=vJ!sC*9{yfQY0__Ni$8Hre# zDa>_=x3#!|yL4CzD)Bx+rUCW!I@%lJWSxO3iEbNxCqtERBe8Ka=0Zpv;X1QXhCG?*RUQr9KZ>$hM3hir zPci_WoQ^8VadJl`(hm^}`e#FIfv=P=ilP=@$C!AiKop*QX){^cZCvhOXldk{Z=toQ?tFX;u=TUs1b(z1^K})W-K_gl^V!52sHmg zKs1>0DaKR4fLfXcTV2aQnL*}QH+wU=^du7^3xFM48>QnTSy9f;3^xgi;iT1Al03#| zK9hy{fH81Mc!olOJDx0l5vE{?L|{oXiK?DWy=1bdIW@zoZ~ep=pBR89jn>108n^FC z3<%TojwM6P?bQmIb}>33M;^~P!%K#*u9Geq;f|=yGSXB@`HqiDoW+KhSk)-Ldm;;Y zm?*(SXcD=c^%+_BaKH{szHiN0%Iz7dTIJ6_Jdm<+(A8~Whz>X&>csxKvR6EoI4J5} zCx{(Y+vzGKZD0Pyf7mvn%z{#IZFImlIYySXawWA)-<$GOf~((lac+ID!%wd*4&H$z zSk`T}^da9IleasO1|>71@;k$DCKV~v-J>Vlh-uW+5Tx44lkK*!fHlDH~$NscmJ^&d)k_@)~O#;N97ya6}e7Y z?d0GfN}~w_fo{P%Y_zo&e{v7?=(51>x1+Pu$KKWJ$YynQqXzoWgqE9^h61IPtrmdT zmm?#kO-+EHhS`3-yA`M_Y#4F3D8XUd@*L{~5>Y5Ymt$Mf`ynl-Vx3{=A#MnpY zvj`8W!~ThqvcVNMS@*unym}A0TnwW!MA!l-aiB+Z*8U5m(RQ$V4C3Q)GX&?9tZt`eHPpxG2q$t)wf_ zSB;d&82SyT;OhMvY01^}A=;|Tics`W(hkFRL_I zb>Dg3{FEy$&s2d3X8d13*xG3+2uj{jVLAPmf%C@8Ms%piY?O3t{mViQ0 zuV(wjrp99n_;>@U)6%)D{8W*!nk(}T4TF&;v>#$^-e_` zuoJgfiF+7{y9Q>80O?kUQ5~_dws{k|KKc#2N?dgmDi?W&PpB}?%RH(#NZA{-h~ICs6$fUT1pxoCN-?C?LQyGd_PE%I(= zAOXSyK7|yN0OAIjbHd!HA251Zbi`~8GGU^Z#aaCoGui&kjmM?U7`FDnQXkBqnV?H-LF2VzZ7GO~r))5)u^{tZRN;)WZb` z)=}=_YVp}2YSOJ%HHhpqM=H3VjAZ|1nR)@Z1A!fHOh;JHuU+s>X*0F zZp@HwPyL(Nvxr{Kj$8t!@wxDh_zAD1?VIcIB5Rk5a>y(HIK^v0CpkIvs#2Cm={2RT zNGgz)r$!|_dQDy9UZFYOh@QrKTw{%mtVDk-TJGKe`37|7mG(BkkuW$Go6U)LoEr_5 z6JyD1aez71au~!)Go58SF-n@Cq!Ty>y^{uweQFIG1#}(|k+~xbc;e7i6#5NJnE#WuwX6`D zM3hxT4HLU188aUCim`@J!C)fs35sIqmXVyd=+!a8CJj+IV^sX4h!jEK95EgV{!FA5 z7Uj@w6~!0nm?}r0;D-@<@sP`{uC)QaPfVaQr29MlnhNiY{rVvG2ji1hEoK^9@fm%H7{l{yT%fvt_X@YGpLN@ zyhKVveMD+3fy)70c6J z03slQx+arNI0QzlhOl!i>WsmWEKP~;1n>=x0RjXBwrUOlYN_zS!3`gz?f_iTb~&6P zDjf53KTWM6Re>OdYLRc67rCXL$$E(^mf;33aPai=~XX#9#Cmu+*E4M}k1< z^FDMTl-O`-nP5Ot9kK&KYF(ee30vLiIZ_tDs`K{HiG@Q(fb&ZNMB=CbvYg388#)*r zg*&Oke5pywd*iaXT->2=Y6sp2Eth->Jx|Q#$;GgO62%_*KKeY|2W$;%YYs|2Ueu1g-3i6W-cB8VC~(nQy=<0wPW)1i71 zNgVS#%g!`1K3t*=kO zs{aLpRN5DzNfPymP4q5XBx)&IRA>;W$Z+zMmoK6yKbaDzrcE&AWyeY$wdaS@ip_2& z`7AEB}gwX*hlqbN6=OyV_S6~vB&QqQ+tq>puxN%99e+7 zksHBOxO0!AD9s_XCLWD1e`n{9GnTpT`mp6_XR$i-=6frwS}+=OT_j;vT_*oP8d8=M zXq|oN*3$^;N3-ZJ5=4%RO5--g5r>jV@(VgeF?xz-=kyTw;J4gLV*-_tYxz_JfxJGx zS5_TZ1qO(t?`<@Oft2MOb$>nish49}F?!{ZU(9GnDtF2xf@ughv+)>3TQH4gY_)0z=__x)Y!D5$fkxQIUoeQKz+vbc&A3|B zx=LDcmTsgmI?S=M>cYMe%m>oS|AmpTG7~ZqIv86+^YSwMUr3^A%4N)9 zY-Y-4&TMYP#$v|7%=GtaZpz8^cg+9y4lDov{|P+?Wd{dW=>IStWdp*++qdZUG|=Y(hWm}QrX<%G*+2A8Gj z^AohG!tM7D+Y#SPv1wDctAQ{E^BRE>3eKOij)?gOjPQk0eLBANjKBzn#Q4J^FW3@{ zVGg%=amGnYyuVqJ@95?CIq^qPd4noFQAskwlz79&nDAI`LzY%AEX@99&5Y7c42A9l@vW$o0o?G$YdiK-Bj8fhh}17WM^lCCL Date: Sat, 8 Jan 2022 14:17:50 -0600 Subject: [PATCH 06/10] update authors --- paper/paper.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/paper/paper.md b/paper/paper.md index 8268c973..714b5ebf 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -9,8 +9,8 @@ authors: - name: Miles Lucas orcid: 0000-0001-6341-310X affiliation: 1 - - name: Michael Bottom - orcid: 0000-0003-1341-5531 + - name: Saranjeet Kaur Bhogal + orcid: 0000-0002-7038-1457 affiliation: 2 - name: Hong Ge orcid: 0000-0001-9421-2677 @@ -18,7 +18,7 @@ authors: affiliations: - name: Institute for Astronomy, University of Hawaii, Honolulu, HI, USA index: 1 - - name: Institute for Astronomy, University of Hawaii, Hilo, HI, USA + - name: Department of Statistics, Savitribai Phule Pune University, Pune, India index: 2 - name: University of Cambridge, Cambridge, UK index: 3 From b3ea85c6e6096df0aeda8756a6f08cd3fe358425 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Sat, 8 Jan 2022 14:18:58 -0600 Subject: [PATCH 07/10] rebuild pdf --- paper/paper.md | 2 +- paper/paper.pdf | Bin 131249 -> 131476 bytes 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 714b5ebf..091f1f43 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -38,7 +38,7 @@ Nested sampling has grown immensely in popularity, due in part to its "black-box NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezansonJuliaFreshApproach2017] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entry points for using our nested samplers in various programming contexts. -NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space [@skillingNestedSampling2004], `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian) [@mukherjeeNestedSamplingAlgorithm2006], and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009]. In the future, we plan to implement the ball and cube distributions derived in @buchnerStatisticalTestNested2014; @buchnerCollaborativeNestedSampling2017. +NestedSamplers.jl currently has three bounding distributions: `NoBounds`, which represents the entire prior space [@skillingNestedSampling2004], `Ellipsoid`, which bounds the live points in an ellipsoid (equivalent to a multivariate Gaussian) [@mukherjeeNestedSamplingAlgorithm2006], and `MultiEllipsoid`, which uses an optimal clusterign of ellipsoids, first demonstrated by MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009]. In the future, we plan to implement the ball and cube distributions derived in @buchnerStatisticalTestNested2014 and @buchnerCollaborativeNestedSampling2017. NestedSamplers.jl has five restricted-likelihood sampling algorithms (proposal algorithms), using a slew of MCMC techniques. The first is the `Rejection` algorithm, which simply generates samples from the prior and rejects those outside the likelihood constraint [@skillingNestedSampling2004]. `RWalk` and `RStagger` use a Metropolis-Hastings-like walk for evolving a sample [@skillingNestedSamplingGeneral2006a]. `RSlice` and `Slice` use slice sampling in random [@handleyPolychordNestedSampling2015; @handleyPOLYCHORDNextgenerationNested2015] or principal directions [@nealSliceSampling2003], respectively, to evolve points. In the future, we plan to support Hamiltonian slice sampling [@speagleDYNESTYDynamicNested2020], which requires gradients and Jacobians. diff --git a/paper/paper.pdf b/paper/paper.pdf index c7555c77e00100af7e9c9fec6ccc6e83b4942239..59374a53aff0c0a44b840db81e58b72d3e7dbc27 100644 GIT binary patch delta 21346 zcmY(pQ;;Q0v@|+x+qP|E+O}=m-fir*ZQHhO+qN}5bH8)X%YR;0y;VhIW@O~5wHkw< zQ$nBvTR?)v0Nm^>f`YKFZZ77=_OM=Cw|a{8c%2CS@2WFc4`M}s!N&N|ZyC4p+7K2* z8zauoz2Mk4O?)rc>&bzrrHdQKc1;%~QiOK%R^&iZnkPw{G(*hJ$PYzEL`=)!tKp|N z8iNnPzdve!`|A5mT}{`BSI!7+ifVsFks-lK>QxjPiF%ZG;srW?GZ`--1RbR6>wSJ%LX z=o3}|P<)L2wzW0Yo=&v?&-?TEnLuBS!RJRgZ_zDE7hruaAoc^#h3IzpXhc^aA{lqN0=&STLC&N?yMDbO~-YRWBa zg||^JTV$T2wM>w>wfiu*LZtBx4Okkij<=Zzuw(KipT?Puf-PcUvMdw!r+)f99ieI1 zENplAK6M(R0F)0|-UL7F?oq=&PVK$yMHb-J@p}i>r2b0g3pXpc_S*bu; zrdRX_;!md&yJ2ejo1G3u7T#rGGt(Zj;uBih8iOE4w;AuNOOj>Lukk3w^ztWQ=Zh=` zfKftwfb#(~$P3|PUE=u9Tz+4rMA|mpJ)3i}zI2L3Ww#tR;v&7ccU4Ty63bIpTObnm zX340SU!Iq+MrF~eb|h7@LP<%Rc8zuAM$>O?Aa{_MG`oOcRg+8=erYREv5_k3HH$&- z?l%gawOp~1ain=wcXGYK=jzYsE`3cqAXn?<=h2)PMP4FPyE%ZT$X`1-6{|SyhH)IN zL?N9_+lO_gV9VvI2~Yu-5AC;xmMQT(;KfE)uxcaEx`(WBN`S^s26St#6|SMYn*;px z1^mn_@@YOx)iraOv>x2YibYEgX}m5wat=YE3*^+cISaMR4LFxR;hz1FZb4H3<~slr zL+*l%c!k-esEf8i+`+N5VqiU;kH6jAMxN5YZVe-FXnw9*@WPq7QovP~{`4;K5!H1m zk6r_PQ`8~(JTxfxFViX7rxD2HX}y~NcuJ=q|5NQFF7*E#VH_iv5LfWiOY3+QXPT9( zJ1Cb+e<;h-=RLLM)c^W!`jaybz^sldz7UJi694-xX85S^S*dYL((%Il*KH9Y8u1ub zIfwXfTx@BL;^KXKsi1VaAmgib*NWiy^@r76DbWF0zZg5ReC*E4Ppv%L&kWlDmDSXb zqaAMk*LhPRv&*rgtXt6XzdV2BR+dl4mroj&z0Q;3g>y+CFTW+pOuN}LfZ~#-%}=88 zlj|pItEy|Si?f7Efd1&!81d{>pSMvT&u!T3=w#VHnpD|7O-`V*6jth4_LRSB=Rdww z*`VOC`f8V5Y#uS>i~K4)&yKvEg`=garS8_NY!CnCx_zzg0Bxy}s(YBB+5@|ro$*dF znhH(9v4DV%<5tiMby)orfY>DFL5h6^DM7s7TNLRKZ7IPxGsRhfaPnBS7P!QWt_<}V zk({`y{H1@Xi%+PmP*1p;^m&PogPnq7%=g!Xr?KQ6CuY+4JH)u+giuc|P%l7#` zp#(_|PfLf_$>65hGmdjTH&geOR!mLH5jm1z1ef=<|ZpmFQ&SFOy2h;Kz7QgAYcLT}-3 zgmXxrxdDn1Xzh$4p z?<-b+)t}V}aUu+*f;@KON6*(J3O~&|L&;6@PD*$teeiLJ)}NhcDr1!{I3E@1u+@eA zaYHSmNB*1JZahM5v7?e1(c11Rt*fL(ZD+joc3Fipj@YOHAlWO~W|Qd3y8a;J@a z7Z!uB(%302-^2@WU@P~yT6#)4mT5g_*!(s4VVS7bRF9i6aL|)^a?*Dq|C&u)E7?Qo z*j4VFZ*0wVAb0iTn<)RBL8@YR4fBxJW`?AJMhajiH5a933hB<~cQy z1f}CUSaX@!86UfqqOmG>26h`BfOV847H&an7!6Ln6v^MH5euuRTbSW! ziJtm+;(?DSXVfh5H9f?#7lL`b8q_>re> zbJC&meBkC<$+3Nw1dp*S_k$@Q;~q zm~mp^Mx|l4u;RMG69rJzOkU$(F!CgKKyitkPNDgP3piW` znAylw)9njn%e48Msww-hp5IkwU9jp`;$zW{3d9_Rukm7t2hpLZ%v{lEs^*sHhNzsB zd08~bGs-K+K2KnExvtEvc$?P!>1oRYR4c5>a+L{SF>1;AH&>PuR&5+ z#&1<1upI;yM>D+P>ocuL@UO7_PD_*wrZ4s)x5kAYzP}B_>jdX$eX&tmXKiN&s2JXU zUr1+w<&EeO#9xAY{U~h#DJI-Q%#*46@gE2;ZCD{bVr$6bRw+R8HV^s*me8T@k%T}2?O{c3K%wf7d&V-apdIOb9Koh9W`(x5y* z?A*Dj*Mn<~baFBGF%Wq**5r%*gK5@GX~32HqAj^Vl-inwv@^!Z#f+^$qQ;@+5^F zS?d%1dqMxV+jO6Fc{**VGY%!Vd_y*cb$K4AgCc3f%`>#YqbM{0h)5z8M_+85iNNAz z8Wc&n0lK}q!!6IF8z5t}?2tks!HiP>)ol{_TX~`X6yuf7Dx{qwThcbfWDiY8gGk><9GCrTsMHErjO2)I6TrkAXAMY^0agf+lwhmr{%8f z@J6c1L}~G;{=WR0%`U8iW>ocB1$$hI0O2uC+9?vAnM(!aTtf;wQe#2n2S;J}XW>awfs|8YbXQ(U$da0$A(?DzD}{SbSj0=XqFtn)m=TF)^1dY}c-$t~Yj3*E zzW>;ikCa7Hls9>b8WqOf1d0$L21OTF`1C||dW+1Lt6N=~cVpuxYTj?bZo9lOoq7=O zy!woJ&vXKw;WJ|V`JoDhv{(fUS%uIcVSb=7tb2|SJ@!7X`K5ai_~J8oGG!G6nVeQl zCRRoA>sJ@3VsSa*OC9JLX>2<}FzoXG!E5hx9=MZ?rb~s+nHM53(^8Z z0*&EJUuWQR^FCju+VpFqZ5Gn++k;bN0-4@Kf6%AJcvU?P+y?IM-Ef`G6IT?JrB;8>nPVHq@>%eN!uacQ&4LwT?lp6?e z;5GVV#&Bn;Rc#CTgBSUrF6Bavl^RbHav%}5_-rz&x3wX%5WT8Idm!sb6J%AgnTo#paU>0$<)EI$ zBv8*(eYbW+1FL;Hi!rr#zHiObp37&skGj^X^Hw_`sK<7^4N%fBpM+#ioxNHUkI?a4 zp^}*GzA@7zssv%`c?($J42-fKN?-c>d^&pv7dxMrIM* zyg=9E1TU(#+r*}yoeUeQtTJQ<26Fu+?0Q#+^mqT><}DCGV24S=ROhtv^YBkL)E&V3 zu-WRQD?@;Zi_UwYC}OlxM`;E&+sKyFs(R@a-`69; zY2}u2`<0*AdD4fsR11fOlQJ|v9}0laW>#8oAj{n=0}tV)FMm=)>8knw6L1ZmrvX8h zM#+RwcnpH2VI*Ir%#+J02g@pT$E_8L@n}(h;N;_Hq?%oiGd8cpekaG+OTCNoQF0*_s9ilBX~;_^>_Hx@v)(wim4 z0@=(klcT=g=HpfLsO_os+Chm1i%RwF4yNUV;nmYNm1=!RBf~3;`a9jV{9LWq)e0ktXR{wkWW6N(PCps*)Vuq)mEp@p!$uoA*OAJuQN1M`)WXYXN03J zg@^SI{Eyt&ulV|u{ic2)`G7H&C9XaZpLMTeKTq*R4G#|on*=r^hKYzbIw=Pp(0$s6 zJlqa>5U5uT3%{hn8iSZ{E~Tez=r4(sbmBEl zP6w55iiWY45@X}M|I+cTdxDrQ!cn=kP=l$=To!HAC4tYjlvfM9L9IfE1r8-hMN))D zdAekI*YkAjRxZM8iQI}utz>@6>3kzDea?7@B1bN+yBfBu{0X5Pu~V z;v{ACE$iEYB|R-ddmli-Dm=q6UeCP(y~{x|X^N9yhE{hzd1}`GSo#!^)I|D}rl^T4 zVJ*dY?Myjb``bFalbHN-#Xx|zjO$cui&@Q7$Em>I^G{gC@nvY=J${+>Ff1Q0yT$X7 zY;$3h=JEO$L@x|ot1+RZrm3NWz%87ep;uEdB5UtI@j;vA=_o*Mq@kRaAOml2H3#mB zPgL)(@ct!^FN(++1uVPEmQ5Ay&%q0q@FKq-Bz^7=YjUF&P6-AHbj{$4q8dJZ6M#D zV-z8SP^|zMPI-WO)WZ!%%8EKdA8XVw94$%CHl5T5$lE1cP$~RpX8^k3P(AegB5b)?Zt=l$jE}Cqoe4H1#sx<^&&L^;B19 z$OMNMf!qsp(7b`7czjDlJ6i$9&@Ctws7?6&e^-ld>>+v;tu)SO3Tj_0 z%->Fs`oD?#Mhg_vMKwYAKv>fOnjq@{F6nCjau)x;=azCH7Bzs=>HYq{oepoKXZH2y z!n&~c{2+gBn{vOlSwDHzYg9v*+7bOt{SiOT?^YrTeF)}qeC&n0VcvK4|Gp|Psf^)+Z%-Q zPicD8O&p&b@o3r$u;Hmk*%+i8>YJ8jbCD#_uP*TjIy?`PTey7U6q}X{l^Z&V0$Mbr z^V!Us)eR8tIo7hp2}2&4HL>#nyP1C>Y!Iy%*%~0<`k65pju!1kIZ!3rlr05D~2aoStWF9We_b z-ACENYlX{^-~bY5+f0zqj)7aR^_bQN$&1|v4-*@dgOZG`qMj9u?GaEr>*gmi2JH21 zh7G^1t6#G{ZUS&am@7tty%iv_9;jOl|C~{N(Jv!W<<6RDlQ=fQrWBDvLmrC&`FVao zHy*DTaZ@lYka=8!2ev)|*%w&2CH10TdTcNWaMU#~5+glt2bjo7j1RXA)t=hYoMcCH z+uCr&Erez?p@F?C+cIeNR*bTbgz4Vxrx#EsGk)`#JalX#77_}Al@P_F44?j?6We+k ziMI2#&*#utHifBz5l2M*x}_VqXC~2nMNgjPx6S%9iG7uE$t$pcbV@lYfh-mIrRnIT zVJc%L=J;P^!P51~VVV_Kt!LuZ&vsx-w7j;Yz8f}uh3rVUCK3+=oTNqG7o5`2akm=> zyy0*jXm4-|B94vJqjD)fhgZ$HJkPb;%sW-^eU!Uw(k#W=@|b$0a)}-q5P_E@J4v$p z>Ab(BMBf~mPGU9yrcrQK32PiLkgsJiJr%At->BS$EMAH;t|JUScU>Q;KWQ5&5kWS) zKZJ?Z{7)P0bK9Uq?5sY#8<%rN*u<&OLDwf4Ft~J7yIt%lR`^6U zTIpFds=BPC{LxhnbwrHsZNupN@uq0MLaT{1O=I?_II7+N_}fH7lCus+qtW(K0(?h} z6k(3PXPx-!#py+ORjd)xSAnk^uU(~3GF>`&Emy;q4tIA*hRxFo`pu5%8`QS8b+zbB z_~`kX{AHNKd$35T-xDUI)Y3Ki*)()xM}+6Kiyz&f z63poQfsx+;NKHisot{S#=eKMupJWwFvCLv^{!&AOF%1yvp2%rvuyzm69D%ihaU+Gp zU)U=HJJwKy1oq}B%7EI_1g|?hiC7+RoIjsB#g8{f(8tNb$yioH?fH*fBfkBY1i157 z3kz9$ZZKA|JQrx7?$cr8=`d;jSZtMJqz0o~aiDw1kG7oac;S-1V zw2~Uo#V>@`MQt{q=&A5{`-vbfV$LKi?T$x}bMcp3CpBF$U)gTSm8;Dpx@Uj))zWnX zt$TNGp$rPEo=V!ZNw$}jCp}gR;bIS=BcdG6p+M5(X3AwpWY3TkJ|25#qwx8jaj+K(OJw#FLzt2iFu>hD|LxP{>HpqJOo1z}z z9)^RozKTlXc>`?DSHQlemgg`zFX6z8A{6sv($}#jY{hpnLN?OmWn|a0ceF)%Y;V*y zMcfpYBYT*)DvdQq(o@iKxdAI0a6&4#Me=5${HTvLrPzvkskBJ_~b$ShBk2UEAdDrpjmitiW6$F@mHw$Wfyz+M*YrdGtNLKB);{ z%Gv(RAj8rK{{FZojCq=J7_f>j+&Nn8Yby7f({0QwP8-74d7YeFz(`c@ZL>VI@48A~ zX^jiV;1Gx{NxFg7oQ!+n9aCy~I$o0%;vukC!LLm78~t1X#~isG$Q)#`%1i#G$h z3D6@2=-MQtMTTFyMKq*r9OQ+`)|KCzA_EB>Q)F;E3lDefH<=7OEmGk+X7Px@4+%n!8 zq)Lo{BkVmpjYgMiqshEMAc6`<{M1iO`MvQo)}@gCojS4SAhyH4h;;6fvnw;dF=Ek3 zIJ+t39E!G&4lJE&X#Z1#e~$@_-pDik;V}6p{)nEGU~)(H$s41?n1%ak z4tdvFVYAt|lDt*_1S-*-kuRX##BpBQZI6V`s$8Lkx_hFV5xzP!VK)1@?e<=k8go{o zHkuP^&om&^U<6#TXdPvLw7g?9X*F!NF_T3lP)2dSi=Kt{`>ggvj^KJnuZ*}AQrpZN z+FmvqKZpRELl8WhY%;MkG2#gp}m-~#Xyx$3Pa+*Vn1g)Oc#dkWS!V-T|jG0ON_ zN;^Gu449l;y{Q-$rX5~%me{0ytfrDGBHR%5u!jGIl!`@HJ>$2Nqb}m6ohXw{Ll8rZ zg44%v)?`6POBEBO!v(PPBNo@UZ193#O?)tzPUp#F$h)~@5^Bx=r=4=J%CNe>8UQoq zz!+s3(fFBLA3-uQs80T68>Q#bjzR-3S%p@MnOXBNML@wAbXc-`-q)WsF86UEl6*C_N+GYZ80&M@sCx14e|x?7q0VnYZ3-yZ!c~u6G}%6isOXp* zVVO%~$f&sj>yk2O`otwBWnryYj0})dbq%)w`7u9e;aESj-%s_+S^cRytHEmOt~ft2 zHLTC&vCT;3h6(_)gwy09w=u8MJg%afG43`&aN9=onq!DSP1GrUh_m1}ckG^w*b#|nU& zN?(n;#JhLCHPZ5>-;|j5W2wS9)@0~xC47R->s}Dh3<1tFctuex`6pJ?uAeN=Cz|9otKt?eHqwe{nHOS`38!> zwu^&oi2=|{YF3|Jfr?QgH4Vxte9)<~SlxWG95|Flek!f5Cx$~zbm~efLu|fcD_A$! zEASgaKC~37jz?LXR+aN@#2Bj-l2w2Lwrs%Ly+?!0R5(R9JntI)>jTpw zJ%Zb+QJiA5C6bd566VsAi-2N%Hvqkh+VjI}Te~aG^qqParmvceu`!4)*BU_NMoKCT%_k z3!vKcrGt)CJ@9vkmnnd5O^ErkTDIos^q?yU|J$E~r18h-&a_3CxYowQO{JIH%Q4?s zt$DP5+JF?@(DEN1Z`G`^e2Sz)o2m<5zy+tqNR%z!X51h@-M93tO}v;1^$9{Qeb2Zk zqYHmUIFfB3xHhz}Fqjw`B?7W8`!9UOD$H zhaCz(&niv?0_ZeH43=3Tx`J2jzDL6dg$i=Nz&j-YCaBT@_u;J&u>?O4`gf6(`iJ4T z_n|D#mCKrHTNU)44f_38Zwb~==XN!;rX>v1c=Zzo%bym9g##)>eW}9fEwLW7MF6yU z^dmIwv&kI^Gn1wb!jB&B$Zb1H26;Cl41c?{yHM0rT%YF$I<4mWkP!H3$0@rJYuHbm zaTAsP33SYcn7Ce==WH_oGh06{8$sQ9EU7Ky_8&$z00NY3Af@l|EbdL}Dmu(gtgGsr zFK%|Sj6p0)aqn}j)IaHv?aMYT7objGgZqTcBOq*-&(XC6&t{@ZG((LX#*f(&KAjL@ ziy_m(>r1HdE~o^&u6G8XCbOWAKc|A3FK&JBInxO6c<+u*sXu(;OcH`rdi2*A(ot^` z2z42}M^dVD=@Q}b!R@c`wzB-1-^i4^RE<14h@N=iZo#*U&xk@k3-PcR0Embm=#4SS zgrCGg%#RS|tX4e8UH_7~d3`DmxTQjBx?yZOE0AC1D(ASBhd z;Tx9^QZVFi&OnNMw;LQAdw^2l>=&Bb?Q8W`qWjge#>{Z1so_A)2!rEXsA%j?bk;VTAt&2C7NCWu~KAjwfF2)s6TIXORWrVnZWHF z_x{9EckmE!Kwud-$6|p?^^5(#{&73To41#J*lhLR!CblWKgtLth5&`sSK5TKzgPL? z{doaps*wp{GY_kLD`y|GH+^r_<@x@Fstx;syks-hWn-tPc>VB&3{>Vo@oQUE08i`fdNzpj||(r!7bVMZEt?Vrq`?N2taXWoFF1=?=*_YIp2 z;SN7!?Fl3juu`O~xQBe~q9%|w2pASESW)2#lD_sXcy`F(`YHE%{vJmX@zKnJlL^S; z*H12vK@@!Kw}w=z@vqYhP zcYrLMkMZ_7OAu>F5ax7l2M~OK1RgTUDs);214rR`Y@9~qb<-8ezrL>elLd${%k$jK zTqM59WxY1C=6*LrO!lU()YP)Vd^hPE8F@N}^yVst@zk0Ao6x446Y`aai^$FK{G*2e zFP=PD5-6@6KUKEf&^^7mOuPo5P2{|%cuajx`KUj3<+S;3Gj$Vovt>KL1N${s;I{g& z%>49jd7V^yld)oY2{YGd$x1A55}9iaH|L>VPu&e2ZVI(D+-3p>&vTS^$}Clzl*YfC zoZ(xY^nMX07p~0HIJAyOksUDSg}sFPpn{jT0(hDIgz?|H3wYG*C-rRv&^Uf#kNz7P zJ`fZI95S#X9{+yH7=zi1=_^5s%q)PAP)4vi8HxIX{AsIT8sHmF^&nosA~x*ckk{{S zZ}HTQ9@j`oUVBcMxyyKDO17a8Sd)FVd1T!uqJgU6N)Pe|K~JxC1fc}5aQ(lFLHfz^ zwjsjE;rD-m0%a-4LZ1JDolmjQA}{ZAF?&Idk)*ESI?;dMb)O*mKWJa?I$Jbt&~tU& zjh-yCn=ABkuXeGnaB!(6aW8eQ86X3z7=0<<8S2Hag>I zus)8x0j`x}5kI^MMMY@*@9$}16Fu5z?{($Z68X4^WqA!ec1Lwwo-A4Fvx#}(%}A<= zm9N?{h|xQ_C+%&$3#o2QeoWJPUB8y5%8Ke3WLU!llheQ6CdIni6weat{%#&48;`4g z>ShcIXlZ%wr~l?u!sZ2vDuLrI!?!`RN5sNt1B!60E++_ibx0T?Yf+$ppc|;jRkD;2 zNyK$^!g{$;bUlF`pwwrus>qr~z~4&t;@tB*(5t39gJm9hay8~KCJb^N-FiGSeqMFI z7f3S;C`8WDUbY~)gIPyI@hCo!P`$q3{(=Hh=fmKGm44cH*=XU zH#Yyi-RmHE2*|8sv_?}uPBBU@~FojCb>?Yrt5@K^aYe>FEW-*M{b z_TlTVvWAb=O#kIqhdRI_fETk66+!>N*YAy-^z5h250Py5{c9;|bqZ~$-T0O{t30DN z`%aE&d2^86OvfLiS=FE``DyW;t1FpM{J=a@7E45LmxKL9UA}Bd^GPG!e9i*l`O=$@l;{)+$iBTGCKA!L;ofbK>yGrz#GvC zFBD}IP>lJ@ST%yg6;PNbb+EaSV?YZ?QAhvRmvPWit0}UOg@R@}vQ-{;G@Qh`IIzu|Jy}MIBys z5$RuIq>M!C@%e^aiu3CB8ZQc`F3+WKQr3c9`*qc#{Y zDD&fhE@u}kXZQU#->$cR2Kusf&63Wq%4&y-?u6k)yotGDsHfi0>7<=yj@I~B;d=J* z=(S0olcP3lLf&F+KbG_Gakogbp0_=|U3t67DaE(Xoa?_yFg)|$Xd?6@c%Y_r;g@}OYjqtC*=Ay3UOxU+iteR+WQ&)iR~o~wt0 zK~O^mnsMhJLbtTP9-bFa0NS4ZJNNs$|D`C%9fT5;lR3T89fTA>2fe*(o*R@aS#7PE zQ6=`h0O-$h%?Lu#`IwQvDIOj=q{|hp`X*==jB7-TGw)JO0PpI(rVFX zOa23JtsOT?Cb)jI^lvqJ_MrC!?DzfS)^HaRKRhP#?d)B@dwea8Y_Yn<8Dx521ZL=+ zt@>x(w%*K#Y&ZbGNI0k49I|%x`ERxk&H8Ka13K5b>iQ!i)@z;|tG2oOwySR~Q6R0a z;-d@daCG=$-A(m(4ec5b(y1`EO}v)|-fq*~iyLm;9R994AjH4PdSO#4U(r05NOzWN z`2tPF#)zY&mJn@GL)kcBET;$}EiDSb-Y5z{zlB+cvOobO-IOHVexTN3BIWFn^5iA!)%VNcc~PulyjDsbF}~ybSHWIFg382*HuEz>#38QU*dOl{uPK zIbd295Q$fGk`JUrGJ_*Zehr3D4u*(fQG01|dIdv?21j7KD?cE!fvJs8)DOKH&xat5g3~Eyb0YhCFgFrHX=}|K5NKxnsF8+X>ND$NGM~wmiq#>;3EJ`r&uX zNAqOpi!ZU~ttN%M1_V#}W*PEsL`-o<4wxClKRerDP5aaG0_K=2ukR=XdBq)b&G_#d z$)Z&#;D6=v=J}sJv;QA^PTB^B{Et2R1NA(#fe~9B5GXqOgG(Oit^U8Ni|JOdiws_F zHJ>94?1+Py*Z^k8m*^RQu*eZQqyts zVLj*sEZ_enn5UN?H^KKJ&)ioej^$z{!1XqVJ5O~*`131Gly`VDIRKH&J+s0WGaS?O zjovmwSzyz~@YT~t_pVP(yb1$BclStd|0FpD=}IbQrm;v$=$y2>sop9pvd; zRrgn(p|7t^6X;&_tEaV?{IK`o+RPUuh-J7mf;4Cp*2K|ICasq|tZ z<}t10jv3Jj4^ZK$EH%k2>rYGDJAZCAmswfzT~+3U>ZpuG~z=&L5~9(~Oz_ zl`E$2e{yB}KXOf$cMSfY9QX$)u*Du8AEuv;jT+s`Qb|Pfwy=jRA*+Jbbub7p-0(aq zB+ufXdFW$n<_l;usFUA?12|^0mK)^QsA^wjRWnHAU+Up8#fYh=3nYItF^OM)ZkAcK zkA{W*^VtCSI}q)2dK-5!XWRkegkJAc%ZMV>E5yX9$cY>nq9VO}XB_nv(_48sOa$LU zANHYc>)N?kwAE%43CBG7bQ5c5wdDkxc6ul4?Y~8_SbL#+*xg-7s_3$TU2W8pm}hc( z{MdPFGn&K6K4w*bN3G-LR z0xYw!0u0vQsED*6gTLp5aaka;NX9Z1i8YKp5lo;eMuLj1U|^M}(IR&<4+x8|umfnp zoZD-L0^}|@13(y1OhxWd5n*;#VZlA4w5gmFL6vT#*b392vtYhtoe*JvtSPz4xuGDS zX2Ip7Xb{LeLoaE$$up$Ohuk>Oe9~)z_b9##bz@Z*_2Ae!JVRXv_RT39XiJZDiC(l+wHd=>E6G=$e138{)bbvb~JyGTWA0)8~6W9 zYpfQG7MkXI9yV)~jB?a*(qQI>PI^^`Mr~WbDsYq_wQ2=}hr4{pb0=wwA{K{^OcYHou$6ah>nH_nq^V z6!!8$1`Qgp{R9A82c4&^RjHU_;$ht5dnP}fiW8`YS-{6(xxIxPS`zTCg2sJd9esV= z?1!oRClHC^xfiK}k;M>P0R3FxkUoO*|M0Soc*X>rww}dB=#e7@BI5qsJ^p*yFhIub z*KZ_OLn#NUQ7FFW^17elJ;F>%Cmy2Ee!f(yTFU)*1%TA>g3b^ZAC;h9T|#myDgQ5haqET|#v#ki3+ipT;1!Am@M%DJD{Fs`XKN z(d93fG)ghF2Cc~HRfm#zk{(83LjUL5mhk7%2Y0HUw^<~qLS=$t9(_6;2CR3eOe(YI z6nZM}4uDIL#!m(t5bq)*H!nX$b9YY3WYEg$^z=mG_))8OeO|p)m=rNeH7SZwbufWl z>XzUGiuX!>ph`oX zj>HiA)tIFvT0;RERXf5-nz5lEhN>*ajv`Br43G{5Ebm4^(YD0}D)7sX z0CL%dvVt8ifJCx6^Oc#;w~Z`kvS}j@e#`6>(M@Aovikk9<#Z9~2DCFcBgdh0z&V!R zveWRVGhH=?B%cSNan@wWT#^LlH-DKQ6^W^n$nqdjp!-cbvq5fD1z6KINzd>%VN7`M zK?sad={T?D057bBX&dd#+)h2e>sJ~);EyvotVKg6{QN>#qdwB;p*YSg{0&)Y)x426 z488Fqe}{rGDw3o$e3~%#3sor>QqTx@=5D-D(b&W*9?l<9vk)$tS1WK#W8mu%HCz#?)K z@dG(gS*A`PrE&a0NiQP-Sn1JG64>haW&T3Sx_13sYnNosHOjqBPJ^mP;?y1TrmG!~ zMDnJc87jN;7Im%|7KU+LiDnJ85aEymPx5AfzQ^unzzzJe&&SWx`z4rrXO~W!Mmtxj z4jId-_N>O1aq}j<-RON$@Xntd06%3H_Y{tK`UV-G(9IT5NA$ z#^d)1)-74rXTj*^2q(|=^fev%8ozCy{@G~hrNiK@Zm@+XB4>UH&?P=w2D^GPGt*Wi zGgHoHs_eFYfvF&0@MGz1bzbxRHpbq>ebk#e-{TD9On0LP^xQkUMkzlZpfaFlALIVD z=oMT~6aY4V>qS6$=R3dT6uWC^)5vXZ-~==1wDD^g!qcb&`RKs&s;pzoPTK4&Im*J7 zl+Q57ie;UdYZ5oQGyKf&w`((dd_L~>JH76!+?>MjTuyFM&dQ7yxvXaqYgxvQ zePasG=5o7u7-NbibCTN^lVk7exQsw;ezt%Ujv+ngq%SRR5^nVb6 zr{viE;f)PJqo(1;iHQAyWH@rp7|bc586r2)0)Jyz@6QNR4ilMGzVOnwC7hA+3uF^B z2?tGTJIrMh$il~TQ4sxn*@hekw`*R`7SoQ78SFCXnuDMWn2H@#05sHe3ez`oDw(Vo zjTe7o@h(8TR_>-()E&G^sUa0v4jU;^z(q4V>UNwv zcy=d!8AC9rq$ZewxYf#dx(jTzb;`XU`}Z&z*(=Ap(R2rdyTfNtTtRW9j$TH)u zGSr2EI;%lc%qnR(nmUHH+gcL7Fb#!TA1>n<^)B2W|v1BE5*XHD+!v3xIBrPYSbPjmt8D#Hl>g~!{( z+dTqi7tDNl9uw`^ zvdX_Zqd+29JF@6(B~?}KDI>1Hz?$C?^?l8Jw&M;GwDTTX@|<1ZJkuX7lvjj<7ZD2! z@}?bQ&84n4(m>0uVWV|6?$8xHmzNup#=W#-BZp(-5m7DT$h{Kf*;19D#>P1*~v=}j;700DDy=G8|1b?YZ8DV|5 z)NPgsz`nI0TTJgq(3A)NT6j}Q_)8Q*ZyZBF;A#a;&hW&3-$rs*&OhGrs``LTe+1_< z+)J2V;Bk75j45urhg&d~)NVD1HnL}FjGy)_)enCS_`vxoSJWK(hw^UH_04ms2IU!7b&;G* zaKybGhq?Ep{9Omub1KUHL3fugP!?irhU>VipUN0Wn{}k|Rw<)zd_<1kM5~>8ukzf} zmf=#{>BecO-@LIS_k&n$H-7s;7qbHPMeubasli*eynS5hc==)Jec$q0a!3e|=22G% zD0LDzhcOQn8x^0(W2#;$Vz;2kEE3m2h;}@HBdxe)!QSLjMCio|xE1OINIMqhcR02RU^LXl(xPi-zdKks8PrAcea*}a7Ymi{35-rNt6a=|5T$m_ z|McR#e|c)X-}a>7w4gvbJ2Ojl9qxkx{(9MQW~P{J@r5O*&KZW z??2md#q`7HAY;&HY{GN>_908Hjq9|0{*wkE zFJb#vf8B4cWm)_McX!6%>3x>xnhxcO6)_8E48k}H1^S@V17F_-{3*Z%It;=en4fmA z+VBn?a{sEADCl@cs6QqCr9svMu)rPGR5iffwZ~d{Y>xGaE>=-eWwtbc%8Nap&5tu2 z`)_Ash&{ujoZyUkqddb0Lq63M)c<=_-tFC!cp+weM?;A(VhfDXzvlG}W1jj_p0O>; z23C}JEdD#LMz~eCwX-Y+p3=LV)UHQ5DW@VH&QXk_rsYkzxV9kemeyMykaOo?a`&5C z3X`Llvc2RaS^JZxgSTtin5SV#0VrE!bQD^>kv_O)iPaCDK^|_6BpAvCn}hQEad(6nBQ}UYIPwHf z=9MHWc<{4A(WmkELWZ0sh8{0sfL}{q+W#6^U%T#s4>idML5fbPBUKYOB=t-$2BXiL z2vY{Jc0BwIPY7v)EfHMe@{B5|1*3?(I80dOiZ9y=^dysX`7v!PXs*=z%^;F|uk zNLy|ItN$?!W$TQI$Ge|xWhz52*%Y0yw}y7mW|GQCJSXgzC8|Uh;HCLK(ELQxN$Aj*63%M@iqo zLTeehJ3{j1pXwPV-SeeWHgS^0G%+8zG?G6<+v<(qDR!oS7m^={+>$jXTH9(n)e1qk z>#d~cZ0zhotJy*}d2JqxwUo3*O4T$!(Ws0RS4kxvf7qU9V}7CP$1Yv*+kxr-hTVf) zeuf8M?J63{WaUYl_RO2jRw0`?$-@@cs4M?MY?!QCHc0|-Y2~S*Jj?=nKE$!y#vmp`3y6xx-PpgEScIVjWfiu z_ZicUQ3n4m1Y>UMF#28JB=?w+Pb!JyAv#wk%v+U5k66_TY0REp7o}wTtuYU^$zuXZ zNG}hTl0w`|8Kc;bb~art@1_Q9A(6fGMsP(hBq(M3dH6T~oiw3rdf3*5FwVH5>uOsM zjCbP!;sS(aW83$%TU;`S0IRHNOtITynVAzQq|n)W5BW;Un*AQx#eLu^=(KB;m;HR5fN5QXPzVKHMs zBwCamBNw2DSJk)X?oyBP2HshhgR&UgM>X8pAD0iSeI}T#s0!cz)q+<&OwHO(<4U84 z81y|KN}ddt)m?nsnxRv4n9r2R69L1XvGTX?<&T-|@5@8dwl5Dfq|If_Y3T1P&&L-) zl6=ww>2_T5i=VTVSv6|H zwiaz;A=~cT$eOl5&*Mm4Wc~n$-%uSGvSU;*qx#{=mr64MnXoqyL$-f4k_sd zDd`YNsUakf>z0pwcuzvD)q^mQ+7|IU1vGIG zm%@%Y`mg|^+0I6=@P?Wiif&6X#fZ8DF0>V^V@0K;gDD|f-T4JyvVS0E`w@)svOy|1 zJX{zOS&&Q}t`Gssmd9xglT{HJobJn~%fzlBhK#EOpKHA?2$k~(hvu7F=)Zgu0_3~n zq9%7llVc}eV~U3 zXVJ%6*0QqfL0oLs=>CXr;nYL`L>LEhIP@1QOxA55#DX_+W`dr*i>_-sqXI#D`O&?n zj}Ws!N&6FRh^MAVMRBhvyPl>3R$vbf{~IR86f&%h@`S|n1cRFTD7aR_2_bx*RkFJy zdwLBFd=QmH3_e0vE!^}LCW3}z8^l|KC)b=9)+QVBCSwm;yoEEO54&v)ySe8a0&?hJ zx%3>~{SVTwvHt$bx9bYZ$sy|kD_`moXB5Bd=M~6H{G-%BYUE|s{WLadrybL+BXwF4 zb;v9E^FIEhtmsLPNAkG#7?JI1i(aUSJx>9i4q$m*k3N1u0q%a+ zzC6Sy)}t20q~!E+J;gt!;8xb`&6dGpK=i(vopNy^>ZMC~t<#puxo9^XD!8US=d!Pi zpjVYA!B5S_T1QEXyrKBJ$BR~e4sq`^k)X7WGgK;=!&afulCI!mcKj!VIR6FM*9>LW zS+pt?4}a8DuqsNTBVbr}w4O?cMH}n2LG}x(ZB(7|qLOzA-Sgkg^QXYZlyaTMr4rgp zc**M$FBP85NzAb<2hEr%W#5{fi=o7ZrP0S-=G% zCR(zvXoJSpAs!7mK@%oSyg3t9TwksAA@_O7*X%jRJ6l>GwE}X?8z0(zNTNa^wB5;F z05m-Lpm4|-rEuyLFZ&yS3+LyVawXaYD@l|z(kOJ8jm@t|iSDYotbl;LxO@AV?lHGK z9Cjb+r?yTCh$_|QekheJ!Hu_y(5rB51sr^s2UoveFeTq^gK}tx(At-T%1=Z`wQM?n zMJY4X`Ra*TZMoQlv};KhpXnLNY?6rpAmLFCk<~uNrUdQcjm20oc@Xztd~D{>M^gQ= zWB?bFwkqvsTds>WiYtQ21~Y9|<95DI!E$o}Mq&o^^%}KXkqa?Ylko)ae&2mlYPY#G zjSEyVRNFM`3sfmszdp{0cSY@)4yb^R8O;}0`OZVY9-I)SbDhf^Ll}<6=)}TlM!bQc ztFQ5=u52$33fJLsjwrbhIa=xnwm5taqOTY0P5;d*b)2t1n*^(Q2n8nD^PUdA$rM&Q zVoxT}#xkIJs^y z@0h1?abDac&R_jAZJ_(Y;ypgBlP3A^Oe@0mTDizQ<;H~*$Hl9G@UL^-j|p^y|B_GK zg?mJ`m%nyXRE_l;F8Ja}dwb?XYFt!mLctm~qs}@^$RUWsNNMWSYAmc|o6GI3!0$+< zf{pj5HjrpRs`MTQT2uT0&O`8wOql@(3i%zpS^RIU3@5#GZf-!(W&gqQ7FPOoyR0j+ zBD{{m=&0>NGWyfR*xR%v%eI+&=m(uE$Di+-d5xX%@HB>Fy8_&TU4(fntp8S>=m}Oo zT|Je-lA?A9U8i2Jo4!x!s;5++tQhO?lLuRlMWzgThyGjq>av#`x@V+6NiDN1r0<*# zFAsA#o9+k}m#&YG_0WuqeDKqx4PqygW{`e)xl%7qCtGVhCnJZ*(b>QLvzP^aP^%M? zybnEcFj04LDQL7elysEgz32sYNf^~eIvK*m9W|eg2=@Q7tXSwjoHqJVREg&cUZ!SE z-JBkr-uk_u*nuwb94?p!di!U^F{Hi}{p#63HQ)BSE>$vBy&G%sIplav-qyUOV*vshh_!RUN3I; z-)@&*#r@JT#ai4b{x)FbylS%o&aL1Z^x*e0?$PQC`zMd_em75G%-d~xBYLIQ{%HCv z&}mNY_?+tZYREM>?kgE_2Hzo7MkF8Xs?Yqn-8#Up%eEQ$+o;sR7Vb6w47*uG z(g{~RF->rBgl^C4xqA&zUN?+8ge3%B?zEOs@IGDj{f;_zo0;Q+_ozx`PaDWnXKw=o z!K+ds4y-yrx|mUBX%eIjx$_qJdAr@=L75m6QCva*EyWGe*&}weO1Z>Jm>Cui5nH6u z3SG8;PgH}WB^xxK|APBy&sibIRdc1ZE87utwZI=;Aa2hpZeL6xQcrWtOYNV5S&+W6 zG`yFw>br|^PnWXeC)D%@Y^qVmXwan~uIQc)zxK>#BxQ=7a}UuxgM8oQ>*Msy{saY# z$nYEc@xLNIZKz0C7)lGOz|sYDQ)~Z9i=XvIVphbWc%tXCpwOZ2W6LU|NK_O&QqzXZ z;KMC=0OUJ;jUH>`h-gPwVJ-Zg!QIoSpbQ3Gv;Jxo%Qhn96VCk=?7-#_KM-6w=+E(2 z@!aErM!R?y^F?%mbYtrKy7WX3CRqd}VA$G*|7RA7WGma%*p5era*O}&f#6=$^>*hJhLVFd6kIG0W%R?yq*^b6SF{gw;Q*(vTB?@%j4-Gb@?-frB;l2&Pj0 zU1!h9(9CyvlL47F-l~xT8?F~%X+(8IM4wmk-urS%+!akWS@LzgicpNoN+%zLp|bnp z{I??BBkDOKH%moZpW2A#5SI>pZ(iDA^CG49w1mz%xM#DCe6xi{1w~=y7EK5o~sJhPMOA{rhJQl(F~g7E#{<dEUvX49#T==V z3re%22oS-O$#)Z5$>s=d`^;kBavL#{{s*PP{W={_bg)3PJ}bye;JCv-DtE<=c(z)-HZ~j z-r_{d!Ecx*h!b>4myi&c#;#+=t=n2FRZE7KhQOO~VfrjuT9%>c#=i3@#A%){N6-~j zJnk0Coed5E%9{qq>o^=OnhFi$a?0aGWYVM}Gssxw@Cb6xL#2c2bGk9F+HfUgk+K!0 zdX15#rO=BI?g%%bm+Fy>#M7_;Mbk_-OHN=>k#)AIgCdC=**o(QQV}{W_IK^|-0Bj# zd!1V8u-pV7A`eUCv}~^j$vr*opj=gEJmD;$4B#(IbZf+x;Q>{J{DcITNBR_#?UM(- zXxX9&tKCNnHuH2-Q5*{%N z4Pd{Y$Bku5uFvsZbl2PxkW@aYsJ+AAJ(^nDtGjy?^BVocU-2Z2+VKbcDzXE8Z*E`@ zfwb+BITea8SrM4afwRZo2d_CNPkS%kVk^Up`+xiIRr54SB<(RiK z&;%~*b!TuH!V3`cb>1U98GpgJIKr$jVpDS3stcJD!OTFSc%q)%5A()4l@7G;xusxL z4Pa|fA-&=Qoo6XT{)hs}^`R6_NBAq8>NN$a7dq9hqiJpPAb?s(0+8YBK-W$YuijeptKLTH!rg@9E3-9}0ny>xG{!M@JpOuXV3S@) zaWl>LQ&oyK8>-Ce@MpYbs|>XN0t|;IRBCyErKKR$8Vaxyu@Dy%1BwcW0j)$Vt%R+h zf;PfH090D)|C>k~d_qBj7To-JH`qL1` ztb8Zj)>oEq1?&`{I~aC|V4i#--LTQV*|1j`-F$ZNRthT-gKm zQmpfY_nGiIs*Oz^sSxFJO7F==gvuOR36O&Yvz_BGkh?owhX1>D9)H| zz;g%R`q(;SZ_dc|&Dl%`XgfpoATcfH((3~z0iUdWsMKmnYs~4%cSL!IX#PEbwXZJg zP#kONVV006!a9PLTGXssML!xmS92H1TNjqwpf|T$%5L9yZ_f?f3g(`*yOC{U9XfaQ z+iys{Ry)-0t{445ckBC)Dn@+QLG)KoYhG%OQR^gH&*y&I$yop3v+G#3zEHLoC++hPgRgcH`tAX=c! z9e!JUK*kD;8%M7sk;Gz^syi$AJ_(^l2Cg2d_^4vaM?}?W2I!p;PYU$74BESYq^5)`%r&6!Mfz*++M%I zt{(-)xdxfa?`u0*78_@Cj<0Sg?9}I_z^rfv2T=?1;Bi0X-U^*xy70K`oNh=1xnJ0( zyr53Df3~+?Z*NY_lNIZ8){W%Vv$OIIEQWJBZ_Xm;@|2WJtBhb@^_&Z{thG^H<#FgJ zrA7lFUdpAz#)f83-{1H5^f>85=>R5+)(@ z=BRSl&mw(!4<>WW)jV~Vj@*vOdB?ch-nrSkH^-C5tu&Jw&WqeHc*C_2N{3QS3vVCc z#YkA;samzHcuX&^wA^;G)n2W$NMM=E$>ty6!e--&4o#?J!A)U=MhR*4OgC{exyhML z>6D?`nFNH-CJS6c>++&bO`UQ&x|E2Zs#oR;&Sht0cx&qJ>#rrg z`lWw&{s2&8lvo?^H%6aF+()7iq?6&_r^_E_O{M?z(F&w@igD)z zv1Vd6Mm@Yj^$+HLsMM2JoVi%MohKut_VlWeIVqoeSksa{5AHd@JP*qdU|hteZ=QPM zb)_kNK=D7wNP;XbkI(GwZ88HM=bC`e0%dLhB1_Ac`BPzo!?FEz6M>pO?y#*p2tW zIfcyoT_3vhM-q2@pD@zo+KnCx|B+P!EHZ&L1{EH*HJW^N(&II?8hiNVngdOV6U{@X zE%;UApM2%cD_ykWjIt*wtG>!@j?~Y7mCk>QoEMi>x*QTtvSQI)SxbQDqrkK_^|giE zrM;HRZ1?Zc&F85gV)4FmWPi2Y(g6`|nIzz@2d3D^A-sAus%B}Usw7J&rawGkQK#Cd zr-5_)N}{dO=c8P}>qdVA3F)_#gAz{+sk5xJ8a8pI%dThNwm4S4%ChkM9IK>yHcoDV z!>s@CLll_)c01P^q(@epM;M1WZ^Ng!1hw&znz3bf3@&&@KV2^j(?fOgakH?>?>}6q z4%6oWjaKcuc!%ZWsnf}p@+IAZ2qFi1axhlhZ!6AV{Y^3YfK37@W(*q5M@16ZqhYlH zuj7-12%f^oCW6OmSFt$XV*< zrHPB|B7Kg_Q8!1`$r`K}EH^ka`<8bW{OYkcLRL26vU-?yOy5bVpV^(+ovyMO;3Cs; zO*UJQTDd{{mU`T(-_HtG>kXj(m?sw`-P0i5<6Lx017ifF>xX@uckT|LfxUMzTOSBF z|3bTX5ssyTyBimLWYSFHw>6=6*y)Nm`MCeFw+p4(h@&OE(*Ol`e?_&O73>g1EvBP< zZ<*_c~r zbYokt4G0IY3o`z25u#mJE6Exf?#Mb%YCe>GiXgs{=p}P3Ep^N__+mSfyJ?jUmIyoW z#mr+L=e7tn<<`{XT$4lVp&L)ujJOY5PIsuIq~E5uMB_k_x~D9Ev@U>TQ?k?eies=^ z?egi(tBq`&pV{~qUK@H8F=GvaF(Ii885MfF{LurLt3#$MwiQvPCi)UZ<@+W=nddf= z1C7lv*T?ESw~!nAwJBi7Ys%&qhhW)R1GaL5-s4KYFmSm3h7Cq+bY*B*hUTyCS8x(X zfyY#AY(&6{?ub+d{CvWeU~w~5cdN3++h5`Cb4m?^WiC)2qDpY&$qR4ezn--OneG=a zReba7b^xMGC`J8_s>#*;UGd)#Ku}au~;awI%`0Du`1e&{IZT zy?P`TT+G%s#w(s$sBKvEf5{SIhg9>b{xB{|@;b@KL&r-LW)N6lrs`$aoXDxLH>rVq zyB%UWq@bwfb_d5y$Td!{^*9eroO;DExh?~)&V);YBJruz6yEaGtdHIh-0sUdm&5Q} zw8E;aMxCnhf%yInES;}Sx)m^Gb_Pc9;vG&nKA{4iWVdD_kkOBXS%gJbk|Y9~gkeqj zh22|gs=RO==(!S3I2vf-x}Uc*(bN@5H`atOf^&#IPoj8(lh~j8n_62}(+KcoOSb`B zOjMPww47gyX!@}|s)j?gT@Z@93RSVonH+8!x?`3`r@o>)&K8-#ch?zWxVO<0k!_d9p z?hrnS^FFZ%rKL&)(N=qrTH!zr-Cl>{l=`!_!+I;Ob+vISE4=tUkzN5Q7}v#(xe9|l zDsEPhQLb1&Csg$J9FQEW*h2rq(U!`nYz{MO*{d)|Eo$e=Z|Ytdl$cUvrnd)lsPowx zHkO6r=w|Oj+w;}da}@@ytSNo^r+Pe@nSgXF(m8@EY$KuA9R;fV(Z++Hj5XxR@F*Yg zNDaW#)$?RsumhsT2)4+0e0zLMUc4gZDYaLhF$ffp_Y&y5!@$m@|(nz-kX>iNO0GqB>$cE5A{5e2htT zP~lwSeYh6_$+ER^`fCKBcW&8-{OwG#Ss*X>)Q!&P9qAmONM0Ks3ZziYfeEpzI>Mfh z<9>l8h>?CMNEPMETxyd<2B)1OIrzm3v>ww@4fn+Og;XMKpkcZUv!^jal*AV3nvx?< zhCYn|W!)1SEfPs~ID()o=#6pRtxR9iozp`>&Z!@sBe9#zbiM|_+ibTH0);(PR<5NT zPCh^bQi&C}WWJkagG*jKfOBBG91r!GU`0#gr6$^t`EOTesgBJxq& ze3P>4F_xx*i$Or8oP{T~*2~obUeaBcc6!%tk3Z(z!vC7^bCsD7mk09pU8<0{RJa4; zT!J%ceS&PcLdy$?;qZ19D|3)b>_m0|a^)Yxt?Y)FlH31$v6RAVO5o-J-@h0~G(H^8 z$1m{WSw^dzLe+wh8D1cLg4b9rlHV=r0xn( zS&rJ#bu%GNVt#}uyr!iL=CN#+DDH%MvT<&TFQlFMCM^NTfi#g+XVkrSD!5DAMrle@ z`*47we~d#>PVXaja7T5GWoKklO#5o3rs=m;4w2-KpiWW#>cIya@{`0D?&9!{uM^Xpr!;I~?? z@S=4yagqY;4B^!nZvC>XTk3GT_A>{FbtG^5hrc^IbbmX?miB&DFu^Os>R?t|n4djO zm#@|3TI;ET^!Wl%k5q#`j2%G6CFy|^kKl^K%waiVoLF`D-EqVT|MGW$jKM#hC&7SL z?=~OlF>_>4*(vDUca2AOvfwr8NX2;AM7h^?@RtA-Hu-Hv_M$4U7K&VbZi3JoL3$wOH`D#YT;4e3pg;e3E z4QQSAIAPD@U{v5HlSzCk8zKr(yUMgunpf(TH3??CIn@uL=$MQH3`~X#q+`)KbvkP+ z?b89xdelDoes;Fj9NtTX)U}qK*INESy*6`kfP#j(Bm^_c?41&OkQ?4A)xzUN_;`39 z&wt!_0>ki>vXLsA6D-k~`RH%6c9%r{uAS3yk2<%E!%#3rlssteRiLk5nG|xT{z}K9 z;Eu`Mo?31RIh&^ZDc*zlz*V+yKr)9Oj%9$qJeqn#`6F}`lt#|Rv?@0U#qg~64O*>^+Q3^AZJ$FLXMyZi@TQi%YD zbqW%+p#;KxV^ zQgR!J5S3WT=e+0*cIO2g>-Wo9i8hQ`A0U`DFAZu8`IHpYvMx@>@2ajg%z`Lu zxflk>ElQ3@-3XzgOtq;~9!DtgP?^T478COyrh|X|tiCRaiEhqagV0oo2z0+x1}xaY z@7|=p={`S~jx4fB0EaxL?y&%l8V?OryvAl1mEs&A8zuf0110Avq<1Bt*QdXBu$+!9 zT?ffA?r_GeJ!D>^QJx9B&iGtC_GAe5HpEN-6&}x_>Ct=SKW1WnQ%0TM*C5)igVKg@ zR#H=gylds9O+dsh3#H%7tk>n+8A&c_q)h#!4meQpX+&o$FnhE^q<;V_5A!!q4`*(# zU(Utur-FP|*)2O63lwJWE*0R>r}qOCleh3<*kmz;Dsf`e&0`wU@>MtpdCMr_rpY7j zU_NIo=%Pcl^(a|HCtDJA+^W#J?IcoW7zAXgdjF)3Px|gloFR}JOCC^_HnPVtrx|fR zDTizaS%-9yk{*`v`KSTr?8lm;%&I2Zj)uaoZ!pSZOHkkIWU?%2Xzs3-)0(ZuS7GG( zu?o*H<|yjeQ@n9?qkX&Hn;7eTccyCOlV3j=wd(16v{zyu#)l79Oz&nj69tQ8FTj{T zv#UqhwZ#2VD^p+g>mLDqUye2z!)GBVVgwnXIX!ZJ`-~*f!<+%dUzxv(h`hXp523p{ zSJDeBZ@UM`GuOTC>w;QWyC8PlxSkG7E!GNzvmge}F3B6KwgfFLHp+44ZEPNIV-jDU zNXFk}>&$FONb59|PL$An(2+wh)caz^&uFAyKriPwfYO-b+S=UYr2J57;3IoRT`!1o zh(JkW#hX+Q=L7RS99*emf0r)ipsuj92OFT6W?AN1f2vTJ2W5lQhe>cq2z`a+S|YB& z384GQ8tH!^oNpbrOjzK2PM#(bKQv~2&pi#0n-SPhod&-bN-u3eyA&M3f^N0e}_cdi-I3 zblyiidaemxtb9P`SpuzjEc5(l^A?I4Af!xL`4X}L(Tp^LzmWo;6x#iV() zE%vTW4M#LD_@Pl9BY!u`HvncCcd^LA5bg?KM6I1uyb)zX8n=tGtFUd9JsnYqx90d| zZ`z+zf=20CZq~kYA02JB<&sf{Jz||c1YxhhkDKYoWDsyPI_MNUF zjHXePGaD)zGa5k&0_jOMnA9Q@=anQuc5MeTgu z>Gp#wq*B|sc&hky=uwTTGo)+lB%%6q(?Zu4&9%s};*_Ml4_FL2FOg8GlJfRaa(*Md z0y{x66lFYjYdV2`E?Vuebi==CuPtgOZwjwH!I6F}ATkF?@!G=SmoEK)r>dq}v z=OjtI-(?Tooe+x$h}>BcMneh;V4U?vKP2}CHVjBP60t)*F0-J~d9hYTBy#kAAj+*W zlev|QWU#pc`toDnxwM>JW&QnuH%{&kVx7NkER#RY8lYm+#TEcbz}6j!!O%wZd=)X4 zhS~?lHgw&C-UxXvS<0rXPP1yVcA17xd2VetUxkq0+1V}NJ44UoHq)nPTwGJz*{0m% zsOYPIpP>!wL&IBOS)&QPjJFSALPtpuBFpil5X?<}MG}oxOxoygUsi(|?UU0kes~Lw zIiPs=2S9v-qs!N7c|Qs>vf-eACMTVXWEN+BpW^R@r2|%QM@&xwyS=&N^r9JzAIudB zVyFn>QjX{8+LEdy{@t1;a?t63$##NhdUt9QJK7vg5~Bbtr(XcI=RdlKc>7)EVaZ!8 zBx2*eL{>m|KdYV$&y+b(g9T|xxF0bsEV{Me4%lC~D)Srk!SI>Gn&An|*i7t!OYYv$ zNos-?z2sOHx0s=XPX)o-OZv3rydtNmaNN2djlEbpE~<&S$#74unyVyJ+5Wz%lBpl6 zTE2b>qZS)?l+vP)wmT@?Y1Ezf7Jc;Y;bJrkd6gWsP$@eke()X(Jg*zls&0!DU!+)Nz9{E3FwK>!mM!jFx$_-)_gsY`HE{Z65Ue_pCS1O zj%8vn#ah%+`UA|U-Sw%7=Y^_J2vR?va#+lyP5YULt%^Q(qY3*ttRSlr3DTRHnl4zu zLj$dnlc+9k-lbf@YNc%$j9c5ZYZ2MmTz#RJ9h}A`h9C9>-ltVbpY{Bs7kNuy0H84F zb+kVnyoXmURau_j>(}s4jT%q6*(GXRC-pmVaKd&-S zUgO4AUw&dul5Qf=CF5DV#1vVWjMriKK5}i5aw^e&Ks!}I(L`)V0XQ4mGvgPT6m!lp zl9ao1&<39Fd;3n64p7+?W|l!N0sQ}zR;+POA$<|Sj5}{@=2JJ#etH)1)~mlii8q5d z2oWO&E1QN!MEIY3M3+TOFDHb^mziC*Y&vw8x@eBt)NUzXI4!OG^x%n%60*xNaib-y zP+y9f1JHAzTs2 zIEyivoD!zzRzlm$fwfzpo92Ae$Ul=qFZWSoj!1LOAqdGwE{HBf@3IH>Nn70=SlKJ7 zE=gzF;j>A2B5Z}<#4^5|fZ*$$s9rvb1+Va$f?V!}qATLtF2)*UVRnbvt+sxJLQPhk zR{Bj`&-iyFZzL4nNPP)kjQj(18FdWyG4oMLAZk9o%ch))tL*k97PlG~m&~ALY}3S4 zq82(Ya&Hid?LjoNCsJ<)pS-b9&M=Fk)zG#QIxEmplvA#&dGeDm!0)`@BE){sm}Z#E zL(1(Mol_XuTOAgdA|9zB2zInZ=0y3zry$LVNX6zOcAXfU(j4cBJvGgh5x7nRH)&Wc ziJ6`{HjTV|ow)!Sx;a)N_tSWAQh)8vYStgWDauQZ z_v>{(sWDPNzeh#z|gP>9>OR6b_R8N0#XKtVzA49+q^L1{*>l9G<{tTb`lEvs#{>ueOT3d3?B zS97OT2=NU+Rlz)rdlVk)s-f&(afGH!f)PMj#muQy)7$$0YuTo;$unOuoK&Bf=6HdO zA*&>q;#)o59ILw0ZAwo2)|aL0X*9OB5;;NObtv=zltAX2T)>Lu+!Ly(FjX?P8ZbYr z4)Za&Rl2*6{WZ5u$s19U2Uy_FT-3_)eDGXJn~lD1q}nl8b-N~MrN(wT zJ?9ft(@YC`;k91sa2vb2Nz!I&ceA{!a&R4H1A;T}ho$(96fh|=V3sTPq|9bsK zm1fZUNqr&}eRIDZ&MMf$*_7}*H{>Vm-jud9ktpiyOnJZ`Ypy8Rs`-#33llh8o9^%t zI>+w|u=#6%kWGoMfZ!12GFSy|GskrR9dngN1Aa9#*B$kzt+noJ=bAGTzxWc&&7y8u zE{nL1o<&^HXq1Co!LX)9@JbFft6t?DxRRhfBA1jnaBq_P^#4w|@T6IIVcsO73!Xfp zUk9_fXLm|+Z55z;<_Nbzo|5z-Pwnf8b#uvjaO)>EhVPcTgo5*Z-H1ZzZBXt3@}eXu zbfY8{)6t#be|vN**`8d^5!?5~4U?|ANbk1ESH4N9c|LacRVs9MV15x(4%3zbCQx5^ z!Y1-u6G<42QP7;UcG>2Bv~1nE?AcXEuw*uk+kQ1{f6yRf{-}J6X7g;4R5GA9A)Qy{ z-Ey*1WVa!b@q3->q`ydo&7IW)wA|Gj8?47gj-LKB`mLTxvrI?G`7ss?qCRNOW7CV^ z*Qrr1TwHl+?tBVT)%A}e(Z**q^5*4}^2V?3K4$5>Z|vOCEBA#>ZAt!M3XZ&LLD{HH zydX}3^$Q4gPM$*_pILnsofPJt3z%3imnslt1v3yY9nL#9@EMZ}XCQ0>GJ#;w0$s5B zDY24x(0K`hqY;Cf)$H{uZD2eaW4^(XaeWQg~R_GU)Tq6w7{aaL2cS zA;$_UZ&q+#QCT~IvJTK#-^1sRAS|V2ES=%94piokz%8RdSW9u{k9xw$QAs^bx-v6K zeAf5Q_#m-CH~ysgE;d>KDq4kr*e@04Ti5EXB~~lvbeIrMe98e4TRs9jg~X9+eyfQbt z$NM8wo=6y-c}U|{G5e6C`E#>A&;KP6FXhT_KP{BEhmLa{N1|4ueuz? zJtM=UVw~PT9or3Ff%q;4$*WNx9G4!F&jr%$Fw*{efj1jQhl|!ZBlIn zy#F9%N+b{ho5F9&JqR$4m;_%(CmlAVf(0T9f7`uap2vjjqh9NMxa$i=MY9M>BEgAS zJ>6Rdm2fm%A5s?<3%mj*UU?M)8oQvYXkvKxZU9T0LLTAb!) z<|6RWH3_?;Gz&ZvN@r;b4TPm$fCQO=;~!T9G|s_?6P~@Tp$(UPNv<2z=fW z`)v|TO2^r^ycfNAS3aG%PVXeFEDQSfP#OCk6Vo^xiuw^{2aYt3WbgsH-406}u8cGg zEWCAZ_+90?lIeUnOG`Vc>ZSE6D7cu$q>)i(M=pmImnx`*x{~O$8d>r~M&5mqqfNi( zX1TU!W8Z3@h&`6HZa53GX@~g`A+BNH@gb%Ei)0F);Jk2A1M~$Gi2$v3LgW8PqHc%U z7Fj64YL%D~n?CCcVA;hK{{=ZC8jHh2GI6C8g5X@h>|+%4A>PKQZw4tEMEEKhW_7tc zSlu?Ezt$pZ)SeP$?l2u1kgrH})u&@GADHzC@UhnjrY|%Dp`>p)08s!KIsU)DeDsoK zYz75ULto#~np;pOe9D4AS*ash>0<4>q9<0sU6IM1_WN&5XGg?9pnP2jPEQ=i=Gv=k z?ZNi}nQhdTh^OLfVIME{)W{TFteY?-N*pVHkNQ?>uXqLa(sv}hNcL~t1-gB|Kl&J? zcfto;H}nCQ=l2azr4{Ef(?i81NK6hIBgF(~Z7Zkh)2DfeKkatg2q#43(OrBCQ=TtY z*37Ye5fe-d+fq)qT{JtA2*h_y)2%Q}+AFKe9%f=?%NP$Qfqu+Pd+QXBl54*QQUOg% zogZ{F8Tcpce2}IYv8ZBkNsy={qb-88;B-hP!s!4{AZ@Ou@VM0q89|)ozyriaR8Y5x z5<%qQ3+Uks*_u0WV=%=*Xcj~oMj@hsoVM+e3{3|xV?Oe)d|e)C5L0`>`DEGo=zaVD z5{|&);Y8!XWvZUEv&xKlme4h1KC~rRPyw>CIIgftlbfJQv~9JTKOShWA^A}h!NKe! z3)AFus1CCo+J}Cg`r#M$F?xy~R@)cxI-8c>yVZ5qqtvfIK+Y#yo&N(i=mbOw`2X>e z`;Ql5*zG%-PYWuOLAMelP^@(5W|}xd?}%v&&`yXP@7rznhR5A}z+f}Wt?$*<^uvyK zdA87WpR5iVYlKU&jfkHQ2U;YG9`-d@VMVsJq4V#5zLryF!_$*l{)`ArTC3NQ`lHPXD#=z) zVzO~w`|?pfYkKG6-iUqaX7suN2UTrleKa)8rF{wMA1_m)U9AQuiFLmlCSV)qy5DK$ zt_bR@JFka?E-5_91&qL<1!TM=h^|pkU6ueSZJz&lvCoeb(76^+2FL{ouV-)?03Z0u z;+ox1o>0OdN*DktvU~t|6$MLMYlYD23n{(T4I!#jZFu5xBs6Jb@@_mmj zJ8g5f#RsB-)t2=QK!b*@bnK+V*38P-S#<- zxvi?U!-tpPxYPX29se8lN_0BBf8E`%q@*sLb@Yd#<%{^gNpV%4Vp&W)SX3iye3 zzZ)#UCZ8gYdOWvz{L?p5Nu^!|#0lUNsBNI6LdY!v6ia-zFo?$1Wp0F80r>mrcdkHW z01(NcQP5{tw&}v)*vOSNLRUr~&_Z`OWhh%5MCS$BvvT2jHS}>tB9=&OROaMyZ6b^b z=n8csYHaT?C~s($g^C?UC)uN-1-;-KYt<4)h}bCD@dn^BV@~oD!-Q7hJaFi+$kXr- z=smr2hK&9uUykqNXP(z~=b4R8FR(#l)Ue|RpLwm1t(`)Gugbe0U^1}V@BiWGas#3O zX5&gfbORy=ToPYh(b`z-)t2cQRUu!C{C-={8i9*j?z3=oo^I>jlG8jk-I_PPUx$@7 zHFJ9SU0$(n>za&A=y&l)7%#Zb$UgkewBiTLy(q``UsR)IU){z(ynTG1%Ba1npz{AT zrf>ONgeB5f? z^Z-Z*4qC^1s_jm`?HXHi#ITFY1Q{p*G}^a|8%BM&8k*INvi;znEN z+h5f?*!b7!cZ{+{%PJ>Q$<7LmFQ{V?F+#|RC3vf(kQUa+vnf1?bJKzlS2BWNFM*~Z zY+%9wcR6AAchJR%5P2&^DQ{uYSH9qkz$&$OT)~P~@`1z~cckY7)rnZCeZ$o@xn+3Z{~-v#t0O1U*^8K!(#Vu5?_Ui6vcEl4gNrMKso?GL+V$ zEyl{I_0Uau&APFRI&8S}<_j6Cjfut-2Q!7~A70#t+x*j^d(Mafw^f5>`89xY?Ogfv zaZMTcY^=oES?3WfNwzg_Z}-N^Y(DvtwcT@r~X}3HL(N3K!Lr9Fvq+ zY2NTSE=}CC3w={{SeAWLjbv&O8IAJ^S~F#~hHYZS??x}2X?ocQ-O9lYd2{!nBZvO@ zBkMc9CBhbXN}#VC4n`gjB)7T!_?fU=U!$E6za_*$0pA%|N`QMrLQq2aFSPVN6m$a2 zoL~eZH=!wB0rAaWbI7hg&rU~J*#BKr=p=d&pF_nlF3_{}>1XuAj+jVRN|wLOypx_7 zX@6ItykWC(kBSyQ5wPIuPXAZ%SuY?Cz@AMoBjVWJH_gL3Q`BhHxnRg_8{yMf#u}+0K;ZOLvC=^H~4jJ6jjwNUUw0-P@rKBlI zSmrjBb{(I9fV1BL9pdkk+70|(eYnYlTEBi?wa+8Z;Dh(ZQix=Ql8@JaF75OPpw0IQ zq$RY9C#ejd=;!pwRUiXG%hpt5AUZZT7IdisM@#o{QEXD_lBcBr9NAOrB(GRA=Zy3z z3x-j5=dVn#l^N-d0?nh~1i%aXu(b+ZU|W-GhQbSxl(iYPkE9m2R=5N+l87v>D7Dx! zxMfr~u0?EQJPNmw>#tIfG&*r1^Qd+b$F!K_8_3Wk=ITU-jn~Z#y91w( zHo3S-84|ZiE|+^;Y*6`Y*V0Sc7U1D6WBq?MRPgyvw2c3kXp?uWg9Q;oZ~dZrWvK@8 zS9VZ?60$%;$f;WW{s71;=WE>AFuXo5@`y0dkl%9db22yZ1g6?Mtt9sQx9aFEQBPM{ z)531dZIIFQv=2iQEjPVQoqwNOulNLbQob8|lJ4TiL=yA!_Ta^=!WcF4s`3FZui{hn zbAA<~A{L~8T_0p5mp;0iA<4Dv9G*sfAK^EG)x}x&;oe6eR9T%kN`Wi=v zD4o6E`P6AjUEpfHW>=R9gXJYfr#>F4PTERos3#Gor^7_0?F2{UM%ZG$x97x})U3x);I@nQ87o zALIaIi7cpA(RtZSPD^r2X;~}mP7+y-|2BBh%EYTP=eteOp6E9a zcC2%vPP7XuJ4teaPvSCAAzc=HvjV&S8(ODRJPbP~rx)3+OVAxNu2XEcLN;fOJ$`F* z2Az8Z)4q2Q|1Z#XML(cxNB|?}|HU*`6G|1uqC1b(6gf2rd5kQWrLmP>ZJ^frxxQAN z*1DEbwJ<6I@r92F$rK7vIEf*I6wzG^EVZdi5v-MdWv^{DZSiuXZ7gkd)!M;^;}ib( z^m{J%Pg`ku@9Rkp?c>aJx9{y^&n*iQB0YVGAfY3`$156O8RUFl6ncq#IG9Vr;FPxw zdo<|?JJ1L$|AWb)GA`#n(5x5QuB(TCGh)FvA*7HFx&Rx5INZS_z#ta{Ri|**Ut+$d zH5;nGRu0)HNa&u+`<)H(%V+Fk=XtFURo+DAzpbTgHEU2 z_4gg{UgMja?yF*{X681Y=P+?iBo1B46bK0+h>J+6|O01igg;*z_dj=|xr{?j?D%N!fKG!Jz8ReWlxOcuoxn zWpMCaI7I^xFs%5e@)9$N;nyjKijPtCj$R!Vg9HJ*kQERWkQGoKBf*A+2cz%E(NSa~ z(1xjv*&4$<^E72@Nc4$)Bjtw8jbZjBY)RTsenkHu315*3NBW7fB8dzm--{wA3ReIi zTN4mDYiCJL_(p%7iJIPu$oNk_GEN$4gguN(?o`rO=*vZA#D1mlF}kBu55Vt5CZMH; zIR`q5oLD!F8=gY{|)z{dm)5sq_Ite97FC2dI>L{Xg&f(eV7Cy*2>~b9>eSK znV2m_X6%q2{|MZtH*E7kqPtBiwGG=;J zyaC}hl0>GN2g{PYwCXn?eaeU=T0?{&REig^lu;8nkufd>9v39ih{y-CUtuQc(w*sz zY8(VX`C<{Cb`bS)RPQ9Ye+QuwdqC|je2NH~HaPW&*|7wU{E`6SErw=05#ZXd z?tuT+I?hqjJ#!KVb>pG-9lUtL)G%ooDhsn#6bHpDs;u3%k{@sMhAV$*kK)qhDW7}p z2^Y})VfSGv6Zit@BkDuhD@4bHt}TncY2T_nV>?q{bP!Y&Buw5$I|@KDNnS51hA}zg zYF@@!ZRW>OwwOzusm|YN54?ZBqnPpQYM#0}GvvXoU8!Y5mMJV9CwDnyZspitl@ls= zK?s^tE(I%(J&qYU8>eC{%E2Wk@q6vFIHy=Zxb?UGz8bTcfjHpNw9_J@F2V~X6EkmX zSa+JBrddEM#b9~vJ^scUZWX-^5;^+!7q5&IK{e#J% z4gq~j#YW`FoSvA*X5KKBHeZWKo+%?Y53ps<&er^joceXo;%L|X{>Nc512C&joe(Gx zNB{^X7E)Z(4Py+sw$N)$N8Lo7Y&+?eo z@9{6u;|$Dtt1U`w^)KjOYh>8`AzMh(`x+|Ek`aXiOK=rkI9YO{I#3^@bb+GjVi!;| zPj1=tpFy-IL7;jtk}v9>QE3Qy_w?Kwa}sLjP0xR^ z%+>+Y5}i=kCjh~y$qczUaS!`#L63oBNtd{;Jcun+P|%R=P&t7|s2L<@5ARB7r+VlS z#`UcT3mh>-Xtjeh>(BdHT8P_D=(ZdpqAfye2f<$3dr3_Mix_fW3sNKdfd~(dx{Nui zeXqN#S4*Ht(7{_l%G@cc!W>}hOTxS{$y(110rW#KPrz~SN<+sboz10>tzYGiGI=vj zTt-x88gMdKx_gk!6!?eT%E;nkdL!lMOE)+=d?H-U}50B{>Xq*~+PS0@u!>B(M#XZL;9Ksr0aXW5w7F zH7dqd1n^AzqfNU4ce*Gg?H8U56mRcvwYEtvgp!tSYqOgSw4Ssy8>^V&2q4?-=`{}r*9*C zalqPHEt|78GMKZLw^QZDvZF1sQ?HJ-cmhe>0T>=*;i;ghAt}*PMaDFUe$f>}fLG~! zt`p}?s^?Aec^U}BfB;=6+=SPDF5PREbSS+Z+WTyfSy)^r@V{(&{75|xSnQ7{n%)KRLoN&!Ow6pHO{SxiuD4Cvm5N$MaUS3-Y!p2NUP#!3!U?F+` zcBoewdhT|VJrreo;?g;P*|S3BlrGlY20(Pir;RGUY(oYVf`2&9jK^@lLN29yZE<`q zFsl4cusjp|qtcthdJFVarR9568ILSK0dcD`S z|LUxK5ZH^@yK0f#2u!`s3_Mu%|0wt@xjqg-J9l8u6c@q)_4l&W!{m(k+aK|H9V^Z` z4&)x|6CgG-CB47=b(W#*6+j)iGCEYv($otZc6A5+vrtUc{e|_%K<}D+37}K8yAS&J z_i_35?Gw(oFaEE`B-RXyPoBc0@sGk9AiB5kWm%ykFne}%gzttl&ZST2j$1RD=3YtQ zDxTx8cC7({Rq$L+6T0VLmWmji5GV5Iz8xg00brsU_b%8D(!pT*&Mzz-w*3=~&bOse zenSze617H`FGAzricQ)-3&35}fLjA5I$!~T2J1>o{2PQW$pqN%dE!skHw~iYxr;na zMZUoNLfZX)ACb*`BBER%6Hm4jPeDY6O-c#bB{K1r5*H1h zbIXplZ-}4fPY&nQ#%^x(yjYrh5q$aj0Y~$VNd+dZJ?hF|=x|EH3xXG{11xAMnS#+SE5u126D zEX}=BVp9?7%96(TrnPIz$YUquB*UZH)$Bj21ZWk>gk>;?qvX^(P^2B4Lhi9f)%Xtd zjV0u@V?$#OlP-4Pk@ZGJTrz%JsnZQ1S=wfg!sNn9>B>rmT$maq)8%T0MOCbJE3Rl(Cs zI4p2>lg#mqa6k-r=EtdIb)u3%zoBi>{(1M>K(>MhTKri(KdP%g!kjO|(Gg>E7wTS~ z`bdbI=!S4K8Bkoqfk_ie?Z{Z2M@b1g6IYx7%)cr;v`ykNR@&7Z+1ml;kbK`-{ywdV zwlVyr-qKXuh5RYF#B2Dq(D1i(gUuPuXK)$*T$AY;4nX7R^wl+2QwxstaESqLVAZ+H zKP6C?_lgs1hqM~cA2xYAUtmD|RG zUb-K-S=vrE<RQ#vRwP~>ZbdAeXuG4UxL$&kp1`VI)2iBZgjLRCkqf(y&=C}@%yF@vu0R6?Ouq*+w9a-`zi5>V@3t%R$RigzNTq= z6G84LV(QXu+Hg-=r27b!rkQaR({2UZH3wDq==$kPrLza5*qto7JZ=5+zvxj)Nel;4w63srYF1b!iWBJW`G zu+(;_79PLJA!}yIc5Cmi%%q15u}tmf+~RHWPFxfF*ew;CGf#-FFyDwk^My2K4*=Kw zuS$c^5v53vf9=|x)eYHFlae@j^_qirTAep|gq7R5c5@UwQM0mARUCr`KFnhygMN@l z)Poz?2d|bjUzK6k#Hz524Id9=GGMq_G%Jc(Ke$gweffSd-y>c`;MCp{6mMJnG_6mP zjiQj2Je4;gN)@X{s2`f*(vOT>82~Wf5r*)0`fJrWZ1$lL+l$ z_xQPFPb}86m?MNV?tFA;;f`PSwpU;iC1}f#GVhTQEV|@8;w}X6ddhPe;F&aM&ZH4H z<PAefQPG2pq)IsYhQP{({sYNZkI<`MFF3;)Rpneh9u7nxOteWCE7)KLbG`9SC3J z|F(p7bZlI?5Uw8ixxO7bL?3qL$X82w#jrOLq0_{(;(9*Pml*tY84}fHM1czISY{| zkmGrvjAoUxLSV*FtN>DhQY8u1QcC*lm=bWJydb0 z6H+aOOEh%}+)$+q^@ARu!=Tzi%%Vr{HAaXYoJ~A~24E+Rp4r5b24HmPf6?Q{xx_G- z$VrqK4lH1pYJgoH4<76x(<5nd&*n2`egqh4YR2J(_R zLA}DP7q0X8lgnz7Ny~kL;nW0wPm>YD7$0os$ zjf3sHK@)}&LlrQ)M^lN}eJ6=o%Loy%&~f1aqT32e-UNryS(+7HBxlgo7D8A%G1zr>+Gi z5aLWxBaRCbSP6MX5J-kI5QaIX9u_evTnAIX6M-tXUFv0yO~Tz z^7%U{qIRmZmo?DP!kj;bL&Is*NI)RCl68m=fH#w%Lxz5tYhy6hN*x5JY;QxG0#b` zgOh4CJ^9zlKbSL_#`135qdBv*Zemc_H>Sp67f$OY9YUzx|eHnb*6$}tc#u{Ii76S@48P)%)R9Fhqy=eA-Ygk0p=O3!u~^Kh#)~DX%qFq{_Xtm6&P2+2>*&BC!=p6}>YQj^cD8v4&WB zjU^DBzFCCKb7AKu63CqC9g_~Lu1ciEI*6@*nqgQ|l>d*4kQZo~v?qTCS%Eu*|*6m5vF20oYq#Rzi>*{LqTRtvYMh3YNK&HHZ zWz_smw2YqL$(9LA#Z%yzV9u2hg?4wnn_)4=WMBfTadVHU7$5uRm0c{(t1Al9eTj#Wj2=BVp-^YF}bPwHSH!_maWRd z!V|J%FCSc>*$j(nSw54!D#q16-~Vuba&i3O?fJ#qtE;kC7Q@L|b$M4$C~0h2u_Amo zn3T6wKOd|jX0B!BO!&!`v1-FSOf^)4hu#gm@sWjeoP&B)y8Nm^qGbV z7l=q7X&SMP<}pZq`ivcxN$GQc3X%l$H@q7Rx_{}&N7ag@dSfk8`^CnO>Xp>=CZ?%h z(>X_IH(TlrOTF7tkELO*U#`K2{>4-4AM2;Q4z9mx_!eumahq)?d8)P;&$-lX0Y?cF zR;xA5HB~!ovHbe6uc==e+wZjx-3w;1_HU^Nar_qe*jgcx*)lvMQ?aFgUKs3OxAaf1 z_so{|T+38#YmXhobnf6jhw%QIzGH^fKcqS3WKg`iDz2^=!+w@ojWE)0e)N5fUaD%TUm06EU$)-ntAhB#dZbS`cr*%cVCPV@GRf7(wteeY*I^UqSjl7(Xi0Z9f z=tFNBk=!&Qy)YuX!Oo(wmuV1+xs8o%p2?kiUa;R$Ij$#D>z?HG6bo|IJ2X=ihk1~v z;{>4yah#45go4K+25%91q2mM;!%6>HQCD|ktTc4Efb@oZ{3DWoxfwFo^f#Q~w(iKd zoW-2IrjOMTY)3{I(#9g9kr9oGXjDX_A{rIZC>4vi%&4eEMJ>v$L8{r)kSf1~l)j@k zP;~^LBLE!%=mgIiL&JU*9sbh}4xebu-k=@D}sL3TsGRJXS86&Ii02VHp+MyGN-?6dlJy<)ug zrGHF0Q&NQaKFBBept>d|3fEDZ zcctzqY(td*S$J2e4i>Dgvf-g-9mQQ&`;M}#YfMMLjTN2Y!6w=Yy6sxsv2Y-RjT$v^ zJjgl~6gU@u)OpjvGL>k=0%=&6Gu@GjN*|=U0gM*9D-|}&*cuZA(XotldU_EQeip$f zRQZm9BWupP8k(f(Y8TsSphUYy&QK*!=#7@;9qpP+)d@#>jO|+6Avwol6L>fMs9SpM zbwCi#O>j=1XaaJ@W};yPB+9wyfDb4!0Hsix=H7*Wl16BujSkK*GP#BU$>elI3i<^? zKK(4VrlATWL^MNH7#g*c7>^9?FsvX?U&)d62`9twFeW^r`EZD9mJmXi#zyC&Bo9C8 z5RVZK=|i>*6XbQ*6MPZoDV#r`17Q}U!(;Rt=8H}VG)k<9N^E$c=@R8JQo)0)g4IY> z9I-)vR;|41O4*^qKlH{k2w~*(fm7SA!eBxQDq{@>&SMQtEe8iNM^yMw(CpHS9T{d< zK)q19YkbFY9ju`d^5_wnfz$idC`@KRBqbG2hR$gqaDVy*D>y?FZVY8)be@dUo2+O8 zuA&JnnS!Px>ZD0mR>eujkU4J#OwY(1)XoEcn)g$4V0sm3Xtg7%)2-$9n3JIMv*(npQtg^2ZJDC@eO24{o4uxLv1MNJ!l*zL4&Z~%s3(s{vfrms=zLVvJ- z7mpS}omcdRRVLH>ri2|4f~1bRgv6YZZ9y>t3C9-*G*qWN#V8RxW+|Ldp=2ypRq>Fo9H!SNy8Qw7W3 zau8M zr}Ub*9A57o_mOOslZO^M8jS|wT}Q&2*R|M?^~U80xluUANGtK-PYBv9`zf50T+YXq zTV(rnk90YvX=4|z+uZBy9H@T8YJv59^sXqcZ=%fp{q;{}AE_5SJ*av^DO+1&wP;I5 zM-erhf7HI49U~7Yd;7!dL6NY3>}Zf*Bddho2PA5*kT?vhx_HH=e>7YA^ST)uB_A8j zM*>IXpa`ciV_FJ>785#>xn|U}NqXAsw5LXIzsueZdlj7~%NCwRbM5gqirs-K>vZqR6V4wKMea_NkDm`N z-kmp4+)IWOw?Y-czJ@B!Ze)rUi%dcAZc92kt;4x%t)4TaY_Q%UP5cr~1mA%s>$UGp z6#1AaYImX>|Ma)Nzdvbz!1xy=N_-EqNEG!oMDd$LiqwllLBar{V9Mw`J&2;8lPDXk zw?LHm-f2!0y#rC!Yu}kD`Y}=T?nF8G@w?-T(|K@vL8h2hrns+Rigg>ABG@8R5V?@0 zc>3QF{MkdwCi5*)#V%9D??9Ce>UZUeSi=>wJ6HaGa&r9XGtj($uZGo&az(CYwDM^g ztpzJ)ToFPvTrqxuD+1sbaTK#c!m_ChILwMJ^|_a+id5 zgZiDRVjok*?oO2tKc2rm`7~P$PcH}M|J@ZY!IagUR(@Sh%lPI@MJ`gs%`z3`)`XQd z7gM&dKNMLuSa6X|Ez3Er+$E=7uYG5-tl9p!KR}ib@6V4HqTCCzWi_o;UzgVU&1(=} z-2lZk$oLl_%LWTBvSm57RlB6N8`SSg7rAB`ny!Zb4`#uZroCGG%6AH8hv1{{csTI6giKb98cLVQmU{+AY${GZs)7$MNSUMU=N!LZk?ll9X}@ zCD&9g6)B47@{&tqjA=~M7z_RZGxla`Osi(tx3FSwr-fyU+O;jc=R42lGv7Hg=Q(rE z95b{1{RFe9b>IVR#eA7X%w%=#!GA|Av; z_!>trhHvm4j$)G3Jm52v@h(o{I3C6nJc6ls6eF01Q9OpnFTgw)sTXJz6&%*HIt z!IPMar!WssOR+tla0biqCSJ!ISc#Xh0IRVMZ($YIVhx_fdc1KKS8JaBeyHF~eV} zPx_SZ-6<``y!+$5>D?u*M7&?bd)&KQ`rPULGTz_3A4=(srTu zV`*pAdo136y?dnHE$<2GN0E20^y_E1#lJDL|G88`-U?-xZ2 Date: Sat, 8 Jan 2022 15:03:10 -0600 Subject: [PATCH 08/10] remove pdf file --- paper/paper.pdf | Bin 131476 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 paper/paper.pdf diff --git a/paper/paper.pdf b/paper/paper.pdf deleted file mode 100644 index 59374a53aff0c0a44b840db81e58b72d3e7dbc27..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 131476 zcmb5W1ymeO*De|)kl+juG%!QE|u!CeBu-Q6uXgIfsh!QDN<-Q6{4aQDOee*gKu z_kQ<3_pUQ*^{lR4`>DOFx~jUnx}Hs;02ZfbW?)C6*gieFMPdgs0c{N|kofo*Rov~2 z88ze$EQ}4E7?qt3oc>BnTI-t{Gpd^#Ihg@D*qIn1#^$DGPCynmZbngCD_aL;JAFfA zMzFDqxuLOygT6bXh`E!ag0X|Bt+k!4jj@dr64z_4p{b<);5lRTT*Z^HZnJKvULEm2naBWn_D>IN!+!-RpBtCPz}X>ptjJjuzAmu-=i)E?yd*!tM0BDHw&Yy zp18bM6lJTpO?SCjq2_gM*)hz=St0aC_CMIj6k1jiHoVKe0K<)ua zIfuCTv~3U-_rN|K73$AtSDm32VYx{P`UZO+@9dQM2iG;FAY+1VtEU9X=Oi}D`-(Is zg*lR^2fODoAN$i_lw5gb33+*~pC#G(#lh9I4n^%n#ItG%~W z?Cn$!L_Z^u-g{JEEk{nI!6?46vp=5eOA4;@`h49oyu0r%yKQeaZW~i3#%NvIlX_9} zEbaZQTQu!COZnEZKxCBhory{J@$=D{ubXsHL{`jfpLw1ry6R~d&PhCRL8~=ohN!Hi z?N6BA^{b>iTLZEw2?lKLHtgzYXMmnc@;>#2NerJ(HQHCSEiw8g=2qzH!2^seK0lZDAs^I{5e5LeYk ziTGxRZP3tXV*JUj?2X|&jz$g*yB9UQ^7zMJLGf2-R?%nY;&umf;ovpIkJM-A;+)d& zL$q<}|3vwg;5RT9Y|SJdrc}{3vTBex@7oN_LBS&h*B_r+*K1Ym=FQKfunaWIBl*q> zkwRREeDEq{P(qsK7(qUfkmYmBKDxzUUg!3OOqPbau&KV@J4)q&vPtE-rQ$>ZsL^sO zmXFObX7hbFRG0{HmCEm%*tcOP^dA)bPZZqtLqS@HVaOb*fZ>gc+_~bPA3!e7MBB3k z$Ot_Z3^%{03Q;CG=%#<_R!BZ-4>JD2A`FLfi3Dbousk;@J^dz+T^)0+EWi{B>W!e< z7=tWO)h!*0p=}CQaMP*rFK!B=_HQs5FNZL~LJ5#$#NJY-KNqbmZZhdtM&c>S$vw7( z94(X8vZnwkE!#_b2iEkSN9BxU+m$PzKctT`q(20FM#Gtw$Z214lc#`(A~B8yS4EDFn<BtY)zBSdnE!7nb(wS;syjtZSVKY1Iz~ ztaQ-3l(^8v^l!L&l3I}4UwvjMWWGwWZ(}XF!j{8a zB@o(>sd6PkXw9hT0xH5N=MWB88d1Z8?Kd*pL7whKWhXSk`fY}?5+Y}|K=8iapBQWiwo>Wiip#r`( z?=BC%kU^6-2jmPNS8~@5Cq_r&CvTh;g7lFCO;oq6Z~q$rvXxMjq(!$@+=yPXEHT9X zMUQ8JNGIjJA`!IYdhiWkZOK1v^NUN86N0Vmn>gamfi=O8uBiu*G+!x%nA<^2y`S>D z?IimsQRuKVAMHY%*799lW>h3L6G~XVcEhW`K_6S#h3uZ>()Uj=1wDwqdU4{4F%!Gz zD~}L^$Bn1AAMQYr{?ofeSgNI)I%Y(#rq6MZe1boP(i^mjAKq3f5g1smCPP`1!Txqi z)!Zo}di2yC$pNl|_!LOQqN!&tCYc0fqYxPZb4E)S!lU0+lf#fWrE{I~mePr`$GGL=I(t=gWT$l~I2M)4#@AirVmTI^}}G%nfV(|7Dp zN$>Aop=jlrKo0BbJLpLDD4V9Y4NyNH%s-2)E-C!&y>x({S3fSgE~QgflEn z2EW=c^@0caj=SUfFFXQqd(bud3CaM5{vu@~OfAggjr?ZKl<_32OJ2MpDR9Ok-yh^p zLxN8w5E6wa4r#&P!s-i7KrH)wKnIF=qL@{K$LN;}Dq16+^_ur1B|gnBpXi=G6xd;bE1?XyE~ zzO4O(Pxrt@sYnQA*+A=+fAN5_JlqMun4uY=EABlUJYWu+dBOaWkKx7-k?BrH2x3zv zfL_OHvV?#qs7k(Ke^AoC<^o3}aye1!7%AWb`C<#NyJbI+*awHUCGx)+l^5g4?Du_h zg#E^Ix9Ud>5%i}`?103u%xlv~(HY(xg6;AU};TVF{7kURPo_>cXw_JuT3_&`E4wO0zsAodpE(L=u?3 z>GpWsx20ivc|!YRY-zpfy#itLnw754RCZ%Pyij@L`1q`yzYCOkgSzwvNm?xK8w_aje%{mVYBH}om*qk?xD8_I zy1YWIjP6N@!@<4H+Ww)N^!z-c0s!S`S!OG|Y9)!bvBe_j1Y&_4haXwDFIw+OzIF!9 zQs|Nb3QkzFRE`y z<<9U>9xLBH8f5>|?qmfDls_6RyAZ6@w(;hGke{GGfVz+TyOmFRM}1s0!$Wh-p6eh= z&Zl%uKOS=&*bgP_Mj~(n%bIy_ni83CGoDjo=6Q>e!TO8PMUWsTVd?Rit!BS*{g5=-L2p6h-9f7|+;lMmv_CWnT};?rILKf{ zod4iuNYf-GjAy19*v#ISq>BiUSXIm60%V75HRj|zA+H0IY1X=92Mz^G{7Q%xRi4>_ z6HMh)V0Q~tbh9KRhI6&2x`sqPwcXIFfbZ1|f9Qk^ej2GBke{(}dSmj>ibWiprIN(< z7CV;WWk;sUJ%79CA+NHHL%51{Yh_niA+91zZTPYhD*`CdTM{Z$seEt?B7&-jY??8% zkEC2Y=*D)@^`D8d86W>tVUQqmjxkH2w9&aN&JxWlWZ2vtdOn%|!N(0K@(1tL-wNBM zc8&#N{Di-j#}>46pO^_BOV<4ah@UBn?#62Mf(wt9oE%@$`mPJ$o36F9eQ&`jrrY$i zKLpN^3*)|u4V60AdsJdMslRW$$nGxp8$ySu3BGjvFs;)C04y6}_yLP2L?v!cB`xA@&mw8|p|9xAuPg~)2H;ePlfae`__ zzKO1_djvF(OQRRtSywsw)07|mhS!la@_~VI^l(FAydgBXJjK@?Oq((PazVTsI*smU|3Zl{4I!|xY` z5n!`5DJ0k`Ge}Bh<}4P@Slj;dh63NE$`K;ixRr*>_fZguJT`7=j3!E?hwQ#8C~$?t zYmJ{sPV&abNDe!|cn-}-;R94?W7;Ul!750LVH#Ef({;;~*PlW@c-KcgnhBw#{8+Yt z8t^g?76z$lxBvnBYuCWjSxjH)c5%cn6ywrO2gAo!Qe?5zFewTa4l;-9bLE`c?^`*^ z_Zn0rmy*1KAt872p6F^y7|@1ZMMc-^u!FrhhB-cHtNYb+x-o!*`HU?a-*C#eNsJ#9 zjFw9VkO*|Sbu6fX30xJ}+6BJX!gE;-RX}63^^j)=iKFI_0mOcosjY}wQOooe$%@6* z>A7~qDWF~W2#7L+C>NA5p*3PQOcgKMK?-Or>H>+SFk4vU(4*Y&HC(0l&`WGfS~5)0 z`>%>2p{PkqmDZ_72p?z44)+2bZts`gA(1LlGzsFwHf}fWvGAkaVhw@ES>DS7Wn{5s|<;v(!Sd%ua^A91(2MpM>jqLo&BCy!MCWOPPHBOITT zB}Do+0fO6#%uWR*QOYaV#5GF-Fek$&@x5 zzeoYkhH9-Yrut93p@u(fltR0$@kSr=5$%b@qwi$if&}p7#6W1i?^MzRoO<4g<+#y& z%%FBBzrXkZFqK12nH7QotrE$Lfjq}t6hnX}EKle5W@46)0N0#q_v8BvSO{Np zpudon14h@!+PPMIc&K3qmc69g4=%TTI|G!gh$dVk66i1YUL(Ij`ks^^C#vCVGNSp82+K23aI{s7 zGf1vgP8dYV8+OuR%VJVr1G|dS^RS5vj@se!v~pc;u{t8gmmquU_Cg}7vPu9!>9D`# zM=|#$=bpH3ETriC!q!b2!%b*xkGBRrU*h7Zn(he-4v1JEpeJtz9Ky7aQKcFBUZW>j zgd9$L`$Wl*+ix0&^(sWXi(wnjzYB$qF5WUbnQ^a17ye-~Z=~>XNvF)j!xzsHErbCp z@>GG(zoN9k!7iVLA*&pT2!*QSe6MTcen5s=}tj*nKvQ{A>S}dv@qTG{2^)mI?suINJ z5)+SwtThnjuzW-7pp%Zet}NoRvawo_TCTZH;ri?_S4CUkYm5cGe(xkjjydPLY|!~h zQakv?8OXvMRJ~g|aSy0J>oZvZZ>FqFBakH+2ACo!U1cMONF}s<<-RAb8e8%{kRgN; zxcye43y0(hp8wziBxP7h3V1P>}pkO)77M30;}0rH*=?bS#z& z(m#g}_mrnuiuy|w?>208XEwb>p!&`OF#VFpgOROb`q*%Vy2F5@6@UFxzE^pvB8BW& zPA}iE426u@4)8m+-!7UeYep_y4eAc`;gu{(B$}1Q9D{3{pi#Y!Dg16A{yN(VKFLCA zC@mAsLzPd0JXs~t1#V3Rs}AS|L7tF5sikt>pbQW#O3_p1W*TB?hd#$Y z_eS_&gTL>-X_dL?mp`;R8n%-~Gh=T4*R%9DjlA>PmJoTYCpA1ebOK97|WoYs}Q8E4fH#UBCyc}8HZ`{KqAJsg3>n6!<0SL*eS z1-QU`5TQ4sxGA?UBC0l6o6EY@t`WDCGeE`uQ6fH56h|5NCL_K7*!Z z^2pQNLp#BYpPQuxR);H7IKqX}6%^Qlp6J&W@xB~9i2f#Ix8(jpBndOoGWL_l?l<{c z{++b9wC(F`3+Y)Hu-nI9^t7dbtbHF08SV#CzDKH^-D^m}RWYw)o^dLoAcp-2)?#}1 zXPfA)gTl|zI0)B?Y0+* z?mO1V*pB#s^+oQcfC1y?aT?NVU8~~{Urf5Ep&G)rfdDc8$+XF}pAfdY zrGyRPaRi21z$f%tswB&*d#O>IXQS2%-!_K}z?65gEA`^Kcd%zgq)Iq|Xg0 z9&fWwtlV$ZDo8MAZeYZYYmvf?}64|@dJpa^xefCD5g;RXo98e`*OXM6xw~g6=E1Gp2yjUd(UAH%NxVM&yaSPA^umv}3jH<*^+X$4=vVZuEC3 zt=kbn{5@sx(R;`|_Avegg49Pg4_Z$HWlBe%05GGu zt@S5+8k9%DpG><8Z@ekLJ){(v8!$dX2$(Cr=2QW8+iM*^3T+^M%)}zVC?RiwB=lat zmC?a`L)TOGUTOUl12Q%Y@EA^~{46wBJ^*auaSi|a`Z_-F3FG3+d7h&oh9kX`O*uA~ z7mCBCO5rHd+u=v;IK4dImp4it&7n`QSA8}tNZ{88eWm6L`0i&u5xad>taF9@m)KfGn)B{ z0FyRHXjdlkm#@zHfZiJT%?hy;A$2$QEX6m%O2)(f1u_N7S=hy)25W$JzHTkb@q@lB zvwp(h{s@~K`78)@g90Kg|-UvImhiP|HvXV_i&;~Bz zfD3;J;kSQ03u3pCV8nQe1J2#W+Hc2~4M)@5f)BtRu}l_Jw6B8rm{iBAn_U~17eYl? zXh>)ED&Y;{zE56{MLQ zYtXjh>GpP!RWfImaq(@^Nm;*UCClcmOcvL2oX?G-1!7!m$GW?y%C7~JTfQER$(wSN zkAsL@IwZ5BFIjxg;@ethE>+Xtt&ZU}f^eN7c=bztxWhhpL{vM&^R`25NrKAZLIM3q zIHn5jdNS-pL3jej^UkiW8b96d8Pd4^THJwwUYv4AjYVVJ?%X6u4uYJV)$=M!lgzBg z#x^#T*Y67h=Fy8Lu1ga!fjjpF`V4f_R6%Eyq?_(&*Tyj>%;v@4@P>6VCeBU<$E<@M zm0~e*GcuxA4rPbjN2%>gt-Ih6>E4LmbJE zQ!3>ovD;3FtV5OO-A{wVy~vYjV@T8!zQ-vK-UFOeMh)BGGz~~5bGzf@m`J1~r?0&` zJ15T){hB2U&j{had7dmo%c|X}i)DG!9k$RhkKEE7sKJ(edWV8KT)#dX?++TLrW$l;Rayr8HqXmn__d6Vvq|Mb)I+;4&)}`IoD=i$V z>&8*|iJvqP6N$>?!%)D1f^`^KOkcH>ltsmiwY9wswGBVU(F+M{%W8`%_X$<6=evqo zp&U@A8rqapHRlBP=qt-gqq0a87n&EETO1rpx$tRwNlrtvk+ zBos($b5gJqKLD=7(yN{Ns<#h^xi`Ku@K(u0E#Z5qescmj5u1kqu2a*JG(SrdR~23* ztO6Ha&O4xg^Xibz3%FLPw8KJ4wDHm;(H@kR(%-wN1^t%t zSs7ynx;?)ejMJt*$H0I-%jKeAM(h7hBn zA3gKkWWt`t@!-073l>RVXY%*yHN0PYJaH@%hy{}^7Uqk@K{2(AEZY7&(j>_PPN_WIcTOtnE5FMukIdXE=2xD)U$)UTQ%) z>FTG4(&2_6N7^e^9Pv!U!WqA$EN0H4u|YQHJ5ds%>OE3kLow9-ONg=rW!x6(<+$c>$Z3O7WFA3fI9S$8b*jOOa9Q zt)d2{ZafP>`3qC?)B|5^&YHrL70MY(o&}cl`3q`gsb^fd^tK_pO+m2ID_|SZbKo@*^63w|+KpnJ1Igfq#2Qt%pj1?v4A3Yme z3m^T3%qQdnsfH}?A6y6G#S0OmtV)ol12a7}VDRNrEd$`aJ(M8=)z6rM701+K|Z90@#yjJf%7^)on^oc_Ya3-wkKCjdf z6boYdpegsH6soRe!9X5d$gHB0p+mYyY*7Az6MTKvK zFRvAK5pK~P-(<$(CEE)t9uX)j+WIAp$Uq_q*YXAl81acKjC4 z+O9Ync%qWQCC9*Fw($H6(N<5GgbE+bXRaS;whRcLlEroiw3}Qda5PXUUTj0+%zfn- zP+Xdu$08QmPJd_ZZD)UpTN8i`jn1sh;ssPHJ~IeVZlE&DT&A&CAWDu6wbrSo@vCJ1 z$Q=kPQM?=@U2lwNes<(P)5>#XBp&q36InE|@eNN}KOyo+Uy}hM-(&4G#Z^V$UozSU zkqiZ4^}mbLbocr0hADGI8BO>#+RN?uoC@MmYhxNBXo~)cA_Y$D#@sM;6&H!uO~QY! zXllMFKsD63^6^~w%$1Fek1{G|x>MtPPeg+sB&&paINoPQK!aJt^B{Kyk~1jvvHQcU z+{sZYAzMp&EF*pGE_uP=k`F1gJ)g>sRML|eTArDy{_Y31W?C(f2r&g1XCGPZZ_Lkq zVcC+rO6{&R<%S;=kUD7Y^=NL^B(Nx!atbY{pZxst%|9n%-FcZB-!H}h@prI z@P>c%sC?#VRfk@?-0VJo#baK>X?Cj9NJL*n9ot*RJ^rfdYpt9*3kUOw_1cJnI-Igo zOz=TxR zmlg-pAf~=MUkH%novih>4El3cSXh{qU0z%|_|fbG+M$IdzAVaT{h0E?tkUfK{K8&E zoFwNF=Q{RCdRYfA7=;2HtWVsck2E{uSneVHk`{SZygo_%ZPc`Tl76kM+aPTv2WIG} z1lNFn?OOS30}B>IiYHaB4aduBtTP7=N`!}ofO}L~WmJtedSvxWoQ~??h%T&TS4Y)% zxx0tFOBVctEG+UX)hz9`A-6g6)yf&=;2i@bA0gfPe9m)pRu6C)ku$8>y|^6ZzRU^P z!UnAc#-ZT@0{#i_3d+2r^$x|Sn%(DF8T;tqx|h#OS>Xq}n}E(oPgPV@=Ts>HTxr7= zaMw7bq&=?`+zoE{t$yrFGpfX-*-~cNM^bj*;y~?H*$BCONQ4oNh&+J^8%Vj9LcaK9 zU9GM8nlBB97S*TEn2oTzk1}C!frK{Wa!(6}92Z1#6v+VHC6pnnVtoy={eO~E z>D_cYIr=t7ejJ?8xuI>-`#JWf*`Ztyuc!Yh7Nq{NtQ1`(8s=rTKMAEcmbtF2WST!C zgr*^d#ooCKWy3?hyz7&*w3m&c2gxA?3Nl(h39;6OZ!dYNEe&N(RGU2MdnK#z418xj zxCOBEdnrO6?)Lm49UNT<1*`roC%fbptjN{KdTUw zttAKxzgvmNmT9I|*?nClA{%KeQSufD?izElmPOSxrkIOW6_wV~&dx5y{ z)kbJdBmT4MFJ9gPD+@?Pzb)=sNP3_91EmqXr;HC&YPrzLpitpk-%yM5sn%@Y$}Cgn zJ3xb7{O5@v&q7i`8neSgTILd@I|bpX$>}_G)$_#c^4>w`pq%R$Ri%e&fw2+mwy!|u zf)0(gBEG|Oe4QJY6yCB5hG~@qyHD^~fVzUQ<2mT8Qi{)k2i)#W6G~{}!c8?C^YA6|KAHX^Q^&p{_v{3GHvIDtFA=w}@zsv$siy=5)dl=V>i{jyzz4 zH45?(w(NWV0*Orf@@1m2`+nc9lne8^a5q}gqe-?~`EB^oEDr=y1@Pn-3lw6bIc*7L z?d&Qt-fgl2uB`i7ceu;!#JJjcKdV4m4>z9cgS?{r?m`-Au4jdqKmxl8ZHfJ{j9GPb z3kFGU`*7Cr5=v&E$24V91y%P`f+d z!JcQNd?J`rCbXcA;9jOI6o|Wq?k6oDubLqDUX2G62=viy8I@BE15M}B`*evL zxNt1%E`$^AG8jdE9)ZOZD=vu4F1|Zmnz~D%4DZu!Abt23FXsc7= zBhdc0?Xn&yGK6FHET%u7a;Tx~<;Lqhl>wczb;_#oEka`!_+?qCh z9!U;!$DU_TZ<6az3*{D9A|K2=eRi}S7A61%y5^oI$uC?ftxBEF8RTFVNGic9Ik1HW7mY55dW7nat=T? zSogY=>ye;%$X3o4JE)t~uds%j1U82A*p(|?oeQ9Hmmzp)Nb*VLrRqI9bXf@hGp4ZT zI|D$DMD8XJw&yb)Hq>jt9d>uRLD-;<-`2;_^ygw*6z3X6$A@%_)SJ?~Siuj=Rllu7 zvsTh=TEp$1Pw!1qM!!GA_*xF)+K-hzZhZPV?Ovgti=k?8LOa`Mtr3+)vE<;_ zK=@7H2Ji5x29;%(zKBkP#4$P-4VFYB=)>FZ#D0Po>Ii2Q<#abWXcocpkINsRQIck$ z_IlfK$$-qe2kkE-JLqoZEAM`OdEuEBDQ7Ok5Gug!M9J!SPjYbNii`6^XY3X`4+)$- z_7fa2oUZ@`c<-KEhY14^>;@Hi<}LTtJyMN}|XoiU+EqzcB0Z}7o6u(*-$O=R^j3HF4OBjg4q z8KK^0m-|g2B<|`Vfv4&Ef_0VjfONn(WcYaQO?v7`df8YfUK2X{vi9wv&xfI%WZKf_ zuk#-#S*X!A<-K<>k@gNOZ3PKU7)L!-LtZ}LUwEUh?y85q}l zyZ1rBgQ8=MJ6GCY_oDlyDTttN`;b#E>1%gpt732MB}hk1XuL!kCt#o#tX+&}BfFH& z6?JyhTc28JJ0R2Y{_J|a-^MAU-=1*7vR>n z9o_*_>y0^_2*d5PHr|Acnik~o`_|Xap^tv)dPfNDGoWjh6B~AYlw|c;9(_9*e?giC zjs3ud`Hba!6+a`=y)AHJ74q82Kld~3jcH7G&e~_k4MD$&C%QORllEX}bQdk)Pi|Mi z1bdZodZ6#(&8cZRynMkkHBgDP|N64rr2M-UFJtI+yPIR|Eh&8Rrdp zc46fTy9hmtfzy;&(SO$A$JA^qR`Z zd=2O+;K}YrX}}}c9l!+5Uh2KyMdHPLd&rqMoRw-dnjUl2wXtxPO8y1pQ9b=O5)V&! zY-PM8`v70({zo1^ZtVWAV{ShBw ze#!m(ahe5Pt!i21vxR64orlP=Q~38)0S81aOM?)Q5T#@0lHKEyG;0&2l{Hb`b?1G9 zNztca4xXQZX&D_`9hb-&3kxg zDE|aMk`FUNkI;C|)+yM`4`u0PeFG zEI0=$d)zgAJ_L3@kgxk)34v~aji#(=2V4-oMGn6NDJemQ?WS!EbjBCEd)?Q)mcKUZ z#Q91K`CV=OVEs2_3!nQz%_yr8@6$TPHWf5bpEhjWI2wKrNtHJ{Q`j~z+TruL9O_4? zqJg^uXY4**dOQqA#o+PyD}Th_Og!r-JF*T@*6M8{H}o-t{d9l+8}XplRILP~kLwi9 z>L(W*IoT50#3!^4mooX;9wN{x^4Gw5tXMXNA$0py$0XM6pO#+SqmS#vZpVY$m3Oll zhAsq`30E$2nx=KMc6{9dz$&d2G}C)gVp3z?Myy~G8f`Abiszo=0tt;lcjEVrf~>3M$=@8GO_$3&c3YKs2_A3-cd!44pG|R zgGT_7jk_DK@j$0K*Zn-~5Qq~J2TtRDT4TMmJtf{Y(5_Vqe@p+GGKB+45zaS_fPl)E z`-p=Nu@=Mwn8)|sPs2N0`VTi|))Y#rz|QYW>cFPrS|Bn_xru00yMoVF`ri5IRv2(l zaT>dW^eR{2BKc2_Ix_F1kHFY#Jv`UyU|^3C-DupKP%vm?1J!M@U_{$As2ROf<(&{& zb(ByI!?|A1W!Q&cuqH}rly9|&7@t9fc4k0Pr$9YFa6=IEzS)?6l>-@H`T%Mc(w5XA9K*zRp zIKLOY65*kjrq%(TryL>hWX!YQOzBOd@1Q-uAbeFZEwVSfz8tQk5TcmE!6{%FK!pnf zGXhMF5$sk&XkiJ!a{*y-ZR{ZOst4)mv^}Ds6y&5;MUmLsC$w_f&IX;ig_oh| zZp<5f{zb}oLo^}9FlAN_P^ZTo_x!q&fpS)iQCDi)yd#-aPw&_65WDZXsk1zAg%ouo zRFQ>bN9Mn68mBada^#BfZRObH19rR5gvnz21+JflNZDpPtmNI^|m+u-?6P>nLIwB#%Z zm?`Gxr(%Lh4~w3VZhSKm=}0HX3!jqp4|TMgN}2!5qo07^Z+7l zEt4_xK}Irz_Fi$#Gu)*wA-#LE&zl)~bA>WT0nwTLB!+@OR`;Cx;+a zhQ3bS-QZu&Jbbpy-eja^GplM?#P0wLL%as1ITVW*r1lGnmt>*C-S!zHWrN#fmK<$XPVR=%&u)#}o+2Igf2tqxY%2BT^dRGK^+q&4%YvgzkNus;z;~9aa zlgw^w_eq%ruMk;|(;V975s3UkHn`0UF;hXqg7Hv&7{M`-zuL0imcnbIIO`)oblv%e z#X?o}-GxEhG#ic@e$Vc;0=X=7i^=aD!wGhxicLFTHLVo@D+cfG$ zO?ETAo4aR_LqRs@#+|@SGJEX@$ghQz3$WdaQZI3`^d8MEJ~I^t zzwO{Sula;uC4tnsmduxq6`)vCr3eC;qVS}4BMg33P`*AGW**W`o`DtS@7kDQS%J<- zv+5=LbANQfm#xN)0FObE)%9Tc1_L&;^)f+psF=~4r zcK8Nbt89gnckON>i_05DJSZpo^^%VDc-3(+^lg7T3oLv6rMAO`BC&Gc;;OxV1T|># z7~NJ*euSZvwUQ{P(GHAmMjkVAGxt5$ zQuV$?wcOtcE9T?MoN(-KBykrw=f?>j8jGT~L!Er@PgWe&H*=fCtSMvqj-M{h@4`At zV!KnZY=nI_*jMZvM-Ng9J*a>CX8I0Ucn0SDc=N z5Qu|Cfd*(2|Mo#kWicA(;ZD7qLIDvHczKLs;R)Tsm~dIUs}kg^xr*NKqy&o}VL(H_ z22pmi_fkYKu3H!5TAAgqY&P5?36Zh=A*Lmx|Kq~DMb<2({eo_G^16q4ADZH&-%tge zyJJ}WxVB6TwSpnY-g&kfz_LFBuaZaRwU^0p#2h#pk+-)d2~V*D{JS%%yqZjS9m4v8 z!DchWm+|!cy$`-PnVj(I)9F44Z&#|%{$wA0Gz6gmB6IHRYc_?B^&y3$B7_MoMVnQ3 zg$D9{-p3eFh3~9gcZ`3Q$3MM;z7<_C%k=sX`Kdc_l@x$!|50og7dXPmA9yhMI3Z~z zmjTokhp=RVT1(F=wu_HR*I)ez0 zUrX2f<6&^ZxeU2e7S-x9q!2KhTtZ;jo*eJGY~U#VJ&_p6&W^3J&JSOOXDPn#LWx$* zhq&d@7q@L?3@R0g4l7*VqglK1Myz;>k_+PjjlX0ZtkQ)sFB+fRhpx5Tt*ET)5{E4m0wC45yLwdB45RswM!6@7N?CEUUxC zu2~{xQRYV;jxY2bM%%3Cm8R9?UX@FR$8)_z@`q*cVHDw=A&D*xeRvtA+d^QivtXr- zdGt_mVYqL<+e>bEtoUd}8dv|ktEOky_BQq{_FK0$l~hw61g?mda(nHQQWa)VZ!=1Qul;p%^K<-5yAMz0j*7WIjT)+FFKBag!XCHx{^>3Yy|J&L=%UwK ziBOEeagAflX!{M%h-?ThEO8@@x*xFlL1N`x2;uP#%5{EWdV7s4F+yJ~ZK7fR%R9~~ zW^3+g3WUJ#$iO#XrgPkxM`EcBNXKnTAtiHnp9pb{4)|<`e*2C6D|d~8yFs0)T$QlS zKs7pJMW9O-UzhaT$d0L&y-#%!7au>1C6x(Ic%~3c(uNCuXjsuzWa4C3D1E-vB~)it zMOH35N4LEjOQpMEn>J8U!%eWKlqdLTQ|4?S>Mh3HNd{+#8nn}UPFAb0vM{|q6;eND z*xzY2(emYaS070*O5eaH@5>zx@(8bg_koTv|5f(njddw#Wd!A0vD7&dUhAr%D<-O9 z&(f+yO^YJckKjpvt7j9o`;=ne(dX!&wHETCkvql3{$nUQy0yQ*6n&SZTHJlSsoO&y z-`)HIqlMeNf_k;*OmWBkD7&ZWq{=Wb7(A}My2Ejq(VK#5eB$n%^DD2eb~7kgU@6zg zAPb3o`dcE~dm{NL5=B??-v^tmunRJ(q+NmaRzt6!0YHP2QDAPsZ;(Vz+IBa^Hny?j z3Ho_POuW+oo=cj!0OJ@8B^9?f>ZR`q=$;SB*v9C;7`Crxe=&wR{)0IzYwVA#j~%=3Ewmza?Z__vCa zB|n*ltO8Kf*1;Ia&cMdNL?(a)1OoXSj7)fxz~cV}e@*d|nK?Px@h~#Fy1FvBvNG5@ zm@+bRb8|B?u`sf*(7$TXJG$FA>ATU}IFkRXkpEo{*x1p~!Q9Tt+|~y8SGoEIw$4uc zWMqFC`tRSr{B$xm`L`t-M~1(hW-zq1X8bFMk(q&s@qdCDyP5wVV1MQOA7Ms@|6MCP zX9ugl>ttleXl!L{{mQF$e8n;UkLF(6_P>Gu4=3I9?fzx#??(Jr-T40UoJYyn@s)Y~ zR}-k(m^%ru@cmt({}lhbMgE2Qi{tHJ?CAIk6JY-@$UkNOsju;GGXktkO#g-Wr}RG& z@($*&Rn`B?F#+cP(*LLIKlMNVj~4zZ{RiT&#^+HmcQdxq0Gq!y>EHEu<+$@P{*O8T ziTpSH{V&)4hWtbHpW1)h`TTD?uLSyk+WAM$KafU-JdVzP^YQ<2#a^%5-~C@i-<0tm zVm`+IQJe3zH}J^X8kw88gI}rh0xV3-ob=30^ek*DOdLGSOgtQ1e2o90^A8XH$`O6# z)xXm4Rcvjo1pcmu^bbNkZf`s(`wgxs$Pit+|bp76Ugs z6B`GR8TdLLxwx4)v>7Gzt*!O7SQuE4UJu~wq0K0(@8n?arp3U<%)-hIWME-t;a~$Y zFfntpvH}@c**V#{fDD|kp#?aB49u_b1zuH{xtQ2qg-o0*f2Ce+u(N6l2xv1Z%j!E? z{vAg_iSd8Wfxy2eN2UMkhzkE18sYyUb^`1FA$9^Y`~PR~1P%@+?$_`N{|=t;r_Hp| zXwI3z#oMe%Jr?kb=(=c?=Hqe{8y z;kQd2NtbV6Wv{D@&-v5{7(f6s910Wn3K8$_6jkQ6tH&5y1*JX{%oMBRhkOEW`OMX} zF|!B=tUF;4Ib>hEHZ8He}dn~obW zqNJj_IbKN}`hDtSW@hH&<6~v@DP0aR@?u`9fvTY$&@a03^J#9W={W}J?;myluax)#}OE)S3D&BTM#kq_1BB@8}; zBHHZvhHr6sExz>6dDm7vol@D5cOjfGC&mqI9~@YWkD{yTcwfz6QORi}2CWMBWm}F5 zZ}TVb>`5gW4}9|pF#zdpZkag9zo0f{I&rpBgl*3Ke7>^v+9HJELj?5me^4-@HlzMB ztTS9oNHEkGDsTMRrcM)=Q3r+KXai?nKUg0FbqR5O#cJQ?n;v=rl$gr*xLqXSIrC{D z6SbYg*X?(S?$g0d`wf39Ok+;Ri85n6+7UTtQ>d;VWrycpn0PMcFGnCJ9?$FZ#=%?J zvnm!&PFyJX9W9*4gp-krHhFV-hzKdQ+VZ#+N6E~=^|i~m2YOIMRMdxXu}<%kvZ!{# zN6HE#aL4}w@IVj0TnM`9?yWB3CepXM9&8u)ksI_HS0qV-dU>!-6zn|@iuBjq0=Wfg zK5*bbDwPrhflO)GG~{)+0F?pQxCfe)tY-qw$)0r3h65|;DVSX7H7Lietu3%9wV2~pxgPhNfX)u8)sQ^=wh1Pur_g8p?Jhs@;%-o>OEWM2%mLiLF051fWp z3E1;v&7J`vgSNCXP%<+!6N|;5!TWRyVp-Py{reXd7IyD4qA_v(wbx!F3uU_r5X|9P ztp@EMwCCWUGISsMtFIp)x|xetwkLRyYPA~l>Ggt{3!+Srn0g3Zx5#2RaZMnw9l&z{ z&w*T#;o;$tkrCqEvs<%+AAkPypU3Mp_v6lU=gyrxd6IaI^#wY#Uay}$dp2m&2QIL* z2tTGC30K?x0ytT@2{x)AFrAl{mS816q^NugYYaLE8fkHH@xK0CaPE0fdL7!zG|iwX zt{0FJ%mi7MubJMM_WSnj19I=?(|zQQMxz@W8^kGh_jR;0rWQatXxIm3X>~ds5RpEY zdc+n3Fyx5yFoqchtz}t{VJ}OPgjeD~@aXk2o(RuXtJPqNp`)j#r|;9MNdV6QJP*1| zOiaY%@#~MVLIphi^wT$6Xd?U5+uPg3(W5VzPQ>Lqh+gt3ODGgVuQi*^hj9`6j&Yi7 zQD?K+2kvL|=?HP1dn9eI8{#xN8n!-q8Cqrc7TZ0Mz#S=&ffndB@ZjsOL-Ebe&jX=v zrs$y{VAT@ev1?`&I87##3EK8k6Gc&A6=|A=UVE%!gAkC0*}b!~Ll(UsZD0mUVczXN zi~KlrF;ohknwVl}gm5?E+PoVL-wY7B(fktWg2!H`57qsww zl}IE4WlcQ49`mLkj^7xu7<=(}ywmACdW`uo@8!PZH(8>)`}Ko>JqI$l0{RR6e$6N+ zj@f(n?j`$M^vwmpfD(Z2*DpF@@+1<8R7wdN`98^4zxq{Z?RL8zXzktVn?%d0R4N#O zFfkwYC&DA(K?q|G`u7?>P4+eR@82J==YTywIuZ)yV$%nCUd$#VyS=hWh#zP-T%4Vq z4Tr-YtM@TOc6N3ejRx-A&7p~pnCUQdd?pl2b?Swn+3%q!igM=6na668^A5-~+6UN% z!Tc~{+pDj>y0x{1$@nVe~-?3N>iYQ>u0egNp zB$1nqPaR3ky(nkqYKfZ-V#-EriKx;`7XwMNxpBBSuA(~?ZB|N+*oSh42rbI#H8^vHX;}c0g zOk2bJi2tw-{>)ThwJhG9U@LzM;WIbhHCMWWFt#u>0J6bb?G?kpcv zBsawhAvrcGgj1Xx#mKcgH90mSMly1Iloi$H&;Om|*1RsQ>$)UKpvxf5yF-SNg+UPL zo53?M7-B22N}QEYvTK{v%y0AQJ++nNo@2V8(Vho7<2jbyshh2$ z=W14Y{mvYDQmItAT&8;Ag~_>^L?ZF129^T41l!DaNl6F%kTi5uyWI|e`EK+)I7Y2j z3*b3`=X)dZc$`E+?yu4iV~`|k1L{C2lL)%EF}>5_>8E%#Rix(BMo;RBLowGl=ofd=D zf~o?Ni9JEg0&+x>gx$Ao8)gUU|7eWf(b3U-J|8S--=zk?Nd81CpP#<@MfS^s&bnhE zZgijE{-DVMxuF0NF__44`|Hzn^w%&!2l1X@Gp6p%VtvGi_p8Hu#8665lfXGaQGv>8 zYATeS<)nyKT2@k%&7Jd(fpR=&?KO!PyH||>!q=~_0E~v!)m1398)7p^YO~qA;kjo# z5z533{$eaeOSGvi{z#g9MUD?MoDk0KQPb0At5jP(QCt0hrWwyRSUD;S%IMLE+1S>$ zPv4MC1CL4Jp-`wFv63vLU(b_3++mQBMf=;grUy{a!aF-Vf!4lD!8jRYY{qyFPRHH7 z1@=jUbqDYq$PEObE6Xz3O5B|?sQ-q55HN=91cMF&p#d{}SRw!x&5TKjX(GiNK zT(hIsw=qsr^Do6l4*^91@|ISm8E{uAK6Y5EZk6Bt-$RVurFa6R_=%gHAVl@R-7A#} zYJ1HMsN~w(8tQhlRM4nAzDT$%!;99&n`UH!8s2L(@>aXzSUN9-V`GN|C9Y;>wDL-8 z=Yp*_<-{2NRMIo9sXInJf9|JOR|O*dHi^Yz#B&XeU|bbySMp%$YGh^znhOTa!@J^* z`lF)*t^MgM?oXLF2iSa10RI@XpnlPJ1 zUXA&sQMA)o7xhi*>R~E?uA^>pK*~MMe+eXVmPxUS8JLkE5_i zBubj4Z^WP)N>A_<Ty$ZnT*L*smMmRF*d zR&z})Hg-5Nv=<-_JwRSGKp56HH{|a$z_bSSg=wP=1 z04RZvxsFPH{p()`DBdiKHUUKv->3Iutf+6<E;I zx|D}2cnYw5F`VvtUC?X2v5hOd9FvpN6vK1+R!9cMa}@1^{WVMof8w`b^pHmDXSc;0 z*bt3IgG8tx3-S-qPMjeYJnrzy;>jv&-tW=PH?blP&#iA4pxOip>Q}% z&aEaA39#WlFz+U;hG7t>-c^6fbM21JRIIQQ+bgH%06tyERFdOLVic&xN-8JFCT1m#8c7nC(P0XZ~Z5@cny`mb-Vr1AN^4>nPmU90PR**R+g5Q z@GLj`BAyZWz02i|?z(pR=|4op%vQNm-Du@6G7Q(LtT{%@v2<2Yq)3jY=;-Ld^!#VU zP|7iyu5IEC8=Y+EuI(|5)8SZ({#PyIp8-R|;)nVMP5-DX>e*_w$npc~^RPIJU6XY? zkh`4wh&!^FHoG}cz=smtMY0zI6y~c z|Ay5zXol;X?cnj(=c?)pG}`$1_}9MnwHxl+VKTh^_S@H|g5FJ80F8Yk1BhvB6>0Ki z7z&>2Xr(3B(n0q*L6xF8DUxLcmFjw0c~wn~<7Qk84=sq1w4*oePK}~DY3K=qjahn! zaW#%*a1V(;ik~39+}GCuACZ0fezNz$55-J2K7uvvdpP$$kvH$BBN&PUSgVIu?kqN3 zu(%z_6#)k&*or(%K8U|8~Jc%Ix+POCr3Qb?%D=u zHN%PF+`MD9tE=yK%Im{Vekn4#UkoK#UTPN?mDD7!#PX-VZxzof9N*oAzGRvGW&)5{ zSXj8(@-;pp`@S~>ZxYn=U!{V^bJ1Su^!FUc7L;gYXhGQXvY;mP+E%B$hF2k!qPi}x zMEosdqh)C|05h1foEWvV3QBBkon-`xQ6~&D!FSfftPULqDs6o5f_u7m+vk6x`WN2fISE7`HBFN`|vmval=nlRXuz5?DgrYb}u*Sx=z^b z6-7x?j>lx5{R26Y(aI}weAG94m1rn44VDbvymRWGt#-w8EXUG3*XE=UtPngA)upow zpH))ho~2vuGR+FElxe|mX;l&tRS<<+C^~W!lI$0dMQ`HiJ(z;J1!t)4?Zn4G9jIM= z*u()g-*XG>&UAago&)hEkw_3A1m;0sfcD*tI{Se+4ZU0UI#uw%4<(PAhSn|~Snu-kRSaJszsZgS>XnxRn?C-^y=-R2g@ z{6Zy=?bw^0j3V`n$Kz8|Q@41i{rmSHJ9g|ANp@vf-o5=y(=4qQJyWwRe}x(3z6-u= z>FvTI_%SGTcHifu*l;U<0re9?afTCp#H!~(sc|QsD|_JcW~LQNlY=+1XkK0FVF=}y!Tvjldc~S866$n+1UxO`QBP!P(gQQa|a0} z1GzGWi0=|$4>bB_^Ar5ivh0GPwqr-w=$Nfl?M^*9b||y|m!;?sXe9_V@R*asN@`M$ z=30eIwe^pp!~5eCM;MlKU90Ola(qON4_B9u`R-$`&9EXab~cW&>@SQ(P&AU={bm&g z;n=rtUnms1#X~*)^wYOMJ3J%V68?qb8_iHgxl_34m>p1O+h{h{KWc28#3z3JIYCKI zsEP6H-p@vIdu_d`*S5NjjpvoZ8Q0S6POVd3)$7}w6sEcq3>4RBxawGeny9v2n!4#S zyVMh658dLCA2>D#o00cp-VIcJNc6X$U+(#u)17@WSlk|zS^8iXx5>&j5CVoC-dvAr zB>rWs*(tdxR~dE9w%ORB8CFnZ{_3vhf-%!9&+wvN-4H`bz?ELxj88ntiK^Kuu!6!X zv94`eothNQ@lu4Q=vMKPYiNR!Xl|d?&wZC=x+KahiRFnp+`>=*jr-l-{oTpQ$y+>B zI2?ZW-FF*}#trwU$-%8+u?U*p*OI=U8yohQaP5wx`?wp*&I)S6!vhyChcYvu`!vJg ziV`0Mvo4gwwG^XG3^2p+0ht&(IF{T*(GW}4+qn~N&3Au*H^BPrM%{^6*~I>@t+(~fD> zceL_qr?TN%y4fn@8P)U@t^>KLE+{e{RJ4o+9@7sY?l0UsVkGT~$x^AnxgA*&cE`HM z=P)41$*WGMGngl=?ncD~a*I|SoRw{u!a)GI`=Qv$j1J&Afag1(nSSmj*ClbbAz*JL z+IA1IsE%Q8w>U34FUN9>uc=+%vAGv!#A;VSiy2M;D%pAiJh+{|WVVXKN4^9+>w1pw z32vLA%yc_{*|T+;<-o98+ZRBifq!y*SWVBg7Jup$PogyHYU+q=Hj4@XrBqeDzQVxo z{rmTS=}TYw*hd4*zwyQ!*ZY^D!SRe>$&pBeL>VIxPBS#@iPX{G&+PlGzgS(}Fq;Lx z!aEl@UgkJ~_$)CQWu32FG0}Sk}HzQ=T|s4M=^09Fg}!Fqi-0FaF~7 z*I&Q0uLpb2f%u3B{R@yLu2>M_Gv!a$u3Oc-9XrD&7u3W^bL*^8&kIW2(kft(dUf4s z>{J%tHk*0h14530F=rM&YiZSuW8cy1+dU?!+FAv4F+8-lRa`8b{jt+&gmd%B*%twO ziRowC#g)$L+YEn&tV3ae!IP*Rs0l3k-TQOoeY4q|nVGqrM;jd-#aD=5^fe!$5JgeQ zDKb1SQIsGL0`1avi)MvTZcl3dGfHwIfAXJ87vD5HH6=3@9$EI)QAHEwF0Mptz&x;}0B28huU`2txEaRI6B&HZ? z_E;>2`AiIy0T~;wzWQpQweOSs>7V}T;8Dp($ei<*xK3})$=0*NhMLQsjJB-i8mavPDt7-a!9({_3BG+`B3dS&8;(F z&#*bN2R`pPmQmlKdl+86{5H*UC;%)O47+&l$F)^IT{H+Zug0k^rKBd6^rUUH@Vsaf zL5ami4|%Tbni?laPH4JBk5%d|+cL?+_M1JCNT3l0hpoQz&O3qPz8?bX^KKOPJrq=9 zpe({iX@TSx=R$9bdmFD$!4Cg+ZEp#N{(=%5=u?^ z4$eNv(E#93c1B71A+&k~+|uh?UDx5{h@VVC4B-YKnO; z`@b&~3Sgy}C!nfmVLT>@ZcVn^`#*%AfGL1Cx?wVo#%2y^l{J8CeEhIhTE-g~B6uRa zudjW8SDL~T7*?xfG)4%!UR|eXuxkYd2P~LQW!=`BVmQUXPEljL97a3X zdRm?NDM_8p+d6ee+;DqIR^UXH{3+z5o=eyjz2-tHV zzU@W60M}Wod zUP>j)?2SgFQmK#)X>e=eaSef5x%ETgTj$Q5BWJilQt|b0I1G>`-rBp5Fp<+u0DB;` zD9Nl^paQ$N}S~++-Y^{ zevEFT?O8ey8f9z6%Xn~3j`}zq$%2csoY+|Zh+#!Nw5Qs%z|;FR8K{i+Fk%8yb)OXX zfH>#B`s%AecMK+V4%lY*I$0wmgtadrtbHFz0TdbhkojNea z-*6RFUW)huN`TPyEf7tuxYYGSdH9hsJ;!Y3FLF`{IOJFzU>oRWeB!Wcb>#S1@7R@I zUq2y6QpHo>x0nBgRnWyjRSa0cz<*#;VmmqPx+gW+#EbAFJujP7!ttxJpr z&P}ROuh$2`a~s_;_yNElUd25iM%c#2MnIkKQ!n5B3<}^mfM@^L0b0I~bhoRUc007t zBN!Qka%2uoFpK=bR0KnkQf*N!5h8W2?W}D@u_~a4KHhsruj+bLYV3z(e zZ)F`t;|B0Zy}qd?C-HeGGsAGA-KlQ8_m7OAv@ZQnv`XNX;HJbe>iX*S!dAzwuQQnL zQh{+vzmW9B3IeHG!MWX3?kD z?F#M;XXoVTP^Yqn7VD~`mR6N$6YT@`T&vXvfm)ICb-~=cAJiFh?SbdN=~pILAh{nx zcGK>*cY<~dgyhTt9(PQ)6Fp4vVNkvJ#1SPm0ptNDY2{V0K;RRIuj2<2iF0Du>eLHo ze*{J-MluX1gohUxUSb4UE3bhotI2V(x512$^!gTXySDa$za7g7rSq??y!D^b`#$S0 zeQTSHf1avKPF-KGDae%@#uWjUzxLW|H+!gy7cbs0p(HsoeZy@(LTiXun!r)4Ri#kv z)f0MUgI8ky8otps+ZDVTtpc7DZveEZxfjtgo^91uK4|AJ>(!0s)*0Wky}0CW0Vr`$ zYTIZj$#E%~Yiyj77nQAZiw!BByigxjEcZv`~D$fqtO_I zngkBp_fMnVlX!3edk)yMzvL^4B15w+WnPR=w2PNBdw(f9vLCSO+6KS_6%-?Bt6B28 zE~qdd8Q4s9JupAPPkRi|D&ro#>bpS!xg9^?KHACmt9L^1%>V=TXcvwm=LKHjNra$U1l zuRm~V)jw(W2w>qgUHriLA}TN-rcdvjLif?=<=qc*vn+O>nm~a}PEJ;<)c~FYc)kaN z$&YOno#(}V18<58d%kJ%<#}&t6dJI zXGAq=cj~ODn9Tx+BftjO!%3mW=4n70;2h;Rorc*ifjvh@51^>x#W(GZw-w%_=qpo; z>@HtV>(MemiyPLw)9C=Y4;(mf&Glxp`L}=jx73Yd8k20+BtF;m1>)1IAxdb<)>^s^ z6jc)wsDEwseX!x$%5i`GbAo5J=|h63$6S`UX6Qlrk-E2I}PhWL*w9(_}if=YLqHJNmvxJ4fM_N+n>=0X*Lms+3m7o=`^)(*7bd8yVTpiT*xx zt8fXRqNb;D4@k4Gu^j`<&-Zn5ZPzyCSk4c)k-ubVHBO0ybMtCy%4dx%?^-%Am=jdJ zvF(#!L(?j2K8$%@r?yo*{e3fkPNiFdAQFm<#}9=<*Vys|o)twQfjh3BQJ8O-1~0z& zB0hC?$=f}-nb#OO_e|#M^&f#)6BWQROuJrc!rx;EGMQ-n$>$*%a`ARQR0{#UX7t`jYb~4S&oeujh%LB z#Xl82aoFuGm3y4(xsKi_JiyTiJ86)UTJ}|K&xy}h)0s>L1{pcLOA?l23=ki9Xzkq_ z8F)|J3vAmao9mG7RlyB2Gc%ZmcuxSHjJkWM$_FYu>L9Od_wkq|NP2nqchQ5Si%GzxeixJP;`Oio>aR$5_m#js>}7Il?w+)50M7wDQzOrOSqNu= z$KmXJC^O?)9b0ekQlznYM(CY`0$jLe8@MZmQVcIz&5~>DoFJR+GFW4~c-eP*4yDXi z$+Jy{6LB-J+19F<9Vm_EMP82i2-?c?W>K{Z!wFEB4#zTd&yvMZ1~%VtwHb4a!1E0a zUd*m?xs2~ZJ8x}mZTBRf&;Q^DKWH=>H{5t8<$xkXvtM5zE|QPP&$E=3i_0?IG0KZZ zt7JQ_92;hP!Ahf}2f>D6h4_wd)pa>O!ifs37Ql0B=N!W;zJt1{fgHDXF8b*v)r4cV z#Yl!%Vt{AAm23kv|g z4-aQot5u@b`#~<#>9il>?JCK>%lZ%0cJE-WY!iZu$vZYSR;$%WFQW_YI5g%p^3894 zQ`dDe$ouhFR8=JiefPbLp>nS_h5~qg+~Ilhh2Ik+Ia{m6CJzHDtX3He7}T&+T?Zh= z#t-|6AT7O9T9Ff@y$Rjr#8Bzd&y?f@u*&yXR$^i}P1bm6hQ`fWX+T4f{b8|pt{E8p2C6XcW)U@(S z7YLmkXE?f3*?dr=anKYuQQ0K=_w{V)z6u#C1gbGgeaHSg-P$CpL4(kqc#y#f>VA#+ zh53#-hz76M>z~?B6BbU;`Y-?TFUe;1o#FI7Tp$VH`LTxQu_M139e=WwzZe~VA~pZA zUIiX>{nSjMcys%lUfTk`T3Xd?vaG#&GIZS@lvRK=}k_G(2PK}%BJ~gAAnA!QiFEfnXF@zh3E%c6AT-&OnU27 zX*Uy+vvm-fbkGuD5Jv$5%nx>B1>CydIAmk{6M-~tRutu4nLYtLKfdrB8`-1g_F7s^ zj*sRJe!(Y>wN0P$_Hs6>scD86{E*Rd#B&_IvPxENjrz6_O0a$g3(vK6Kk-gD?ek36 zDV~1~7#vE^fa##ju4DRfwHzD6o8bgkZ_#4NGL1x7Xf|6+Px{It8jaqN98F z9-d!*`Q?R$g=@Zu#(eFy*GLBCTd<<*;Tctec0flEVog@pB~fS_Zplqkv>)6wJ^vX& ziJQ%WR$65k4j}Dx>cDJ2t7dgQHg?G0_R<@i6s~W4#ELT2rFkWarqjx+uI*=%M!`de zepN|~p%B6eWmOlQ?6~wiLr2QK00y$WDx|K6Xj5D&huQYyw;0Mndy2Suf*})=H?k- z5{M(P8bpv4WWbNvDg%lDWqNhXC)}>>uZed(%CQVCwNYpSr27lY&~g3bmDdRI(7E-* z-nVbx_1B>^XJ%%uQH8q~Y;WinMqQ2WxodITufR^exYc4E+hTb!l$$r21-+5)(hSXV zLL`kxhC#z{BHF}iSM}O9E`vQccg~|hd{-1dCa8>7g$X073D34dnHk^tj%H#LN2F-B zvh?$I{-S>{E4K$dqNb;Z4*v$8EtH*$&HVD?JW9z4^$$MyU|?$qwnx0ohzHXxaGEU4 z3__h>ef8DB*}Ne8@q?VP^gG}A4q0pmx&K%`eQzDY1NQtlvghQ)f$-1)DLx9W78`#8 zpltQ>Rhad>Z8YUrE;fGH>eLvPV>sSu6@f5<9QC7Q3rf4VD5^=y-wWhG{yfJ_&b%On zGp=KXGjrgGfNeQ33e*9*0orZ7ZZ%6nDBjyo6|~}VtF5ad2<{c;N@nH_&o0AyC4NA= zwMl;hkW5ow``XuT2<^>g^Tdf0H$!*gp?yR4j9$P;eP=ZMO0ntLlt8(D@Go#;U^HF< z)nLG&xnd~oA2V|u;I$A+vc9wWj-NB5hwo@W-!QTC=JvVp&>q~6HUw{m0n|IXw$`a_ zg)(!35(8aEnXc)3IjQL>Kz_S$**`^{9Bb}e{4|H+fava3juIJtl2>9>*GtX6$Vs8d z@B+iI&8;(?-r1+<*x{~g`w102Co-}h{|EMf{}JC~A(Uzr7r~+R`WDcLSL5x%B@#!P zm%{)s&_vI*%x2NwwWbaZq;);vjI zhlg%vK{W$xFn$P=-t99%l9mpFV2}@v1@v7y=CW6X4bPn8_UtrLsVZucPWtJ=;#4UtI`Yy!sps1a2+@cO!5QNH&n(*6Oz2ijE!X1;q>jx76fBbabD?DBCql*EK=l z$HvCO;V{|d?dvj({(8NhNF>P7#v48e5OmL;JvVzyDEC+_)(4wwf(kVn4HS+~N#f_- z%a7pk_~P*Jkggl~x?^~JeBy9?;z>LyCn}B2Q_Zb&{$Vpyvs&eD*G22qmfw?N!z?eO z2;i$;+wvUCk4BEhX_sM+^mdn{uwazLC`B`l-qgw~YGxKVO#`n1`J9xTeco(Wj7A># z4V=~+c`24-1Q~{onwd+C?EMtRM!8%bkWnfK!s6oMLpsG)S69i-G;wMpIDKyw_ah)^ znL~#TJ-qcNr?beB6LL!Po`*UK;Q8^A*ysTzHQA}G`;nrvbFO6oYXKfW5#R?1Vq^2P zYjyk+zgJMrRTAT#Yu7hUff4$M-3wg;EbG)Z3ABr$RBiPGAWCEFOe=rEb45vpicnOP)GNCB_P;)9tin#_MUk~NzK0G zSh}DlMvi{jkNjnIJlA445ri+j=M~p6!nygz_8C@C{WWdR1_Cv<&Pt&aE6APd2L9Bm z>kPvIiafIe;K7|;pip@QL@+vfP>v3Hwy9)hK)ZPnba_k+XXN;>tv8}0`<3_z4-Oq4 z0c^9Jz=v`b&8t-Fl&ysn0cykc53YD6Al4=~(I#zn&lfoX!~!n5}dq}7bZ4!AL)-A1zr`-Yby!-u~F zlf~{dI5Fh(Qe|kRWuvj}pF^V<{K<++WO$#y-XJRA*@>xVdSOpSUAt}6^Y?ok4uaeE zqm)MJo8SCqko)U~BMrv!Ba^YTzbzfWa{$kGD5>e^A|rJa_OVOd$&UrsSv1N3so1x4!I3sRO&As55ZIDPm43_Ii(X1aA%r;nF;^YXR zOG%9O5-IMe=_%abE?g4SxF6(l>nv!clA4gBIlvP1ZYVtsIG3Y2z@E)U@})+p*6LVZ zU9&aaj6@=S=sgVguE((Wk1-7+91hV?+&!AhFhCJ!W@hFKU--hU%n_b{t2_tHT8Up?g+WE8!zdi)(uA|jz)&}_=mhZ4KeKR8k)^Q zY~nER6_yH+7#PfnYGeDX92@aG2bikFM?1AGe^o!6MvsC<`&H!x&=vnZMJH#UA3F4F z-EJ>oWv5m;|5`7nNRpGoXk;}trPp_2En;U|7QI&xt7XMdxW zR)C+-r9iLP_>)?Bg_mQk;$j%QnV0<>O*E~hr(1=~xQF9qIX==$2u*=Q*VaGu*U7sS z%mPqMd>qQo(wwL@@?FmMLWxz|piQf5wmhrB*ky^QeO77!ZUvfh8Jc1ls!}RsGubm| z&iKieS(fUB)b$tJy(_EPw&NB`mG#YSKb;2Hx@%L6A5XE->KHCVl`P#bT(8?@ct(uc zmdNlDZ&F8@*;trAVMuH7kLev9ShWf6nUx_Ru|08#KZ*U}k=1t$hh^g>@XW!T% z+=yX7tc&Mf6C-IUoDm{vl<7NId7h|7+l9+|FYBUhbzm*fV#*QI7GQ(5@+%uYO&4V_ zTFP@gmtX(kssH@5{|O-K6J;evQ9W$-`Kscd-fk8h$7ZD{?}RD;yqC;!Dzt*h7hK8! z28So6!Bcx%$UFx^+$uVqCLS|7x}Oz8l>hTSTsoHCDqQNiHXznN!|gdt&jDMnuD5p1 z4?p$g-m^yl!@d#Ii`fFotJk(zL4r--pI8g0<@j)F?lWMQw9MPgDwu>Ignp0XDPWup6f)%4}rY4@)v=`(8S<*k&y#ny496qk)ge`9|(*B z4uKT53zyRKpJ^2@C#IiiZk`4ScJyXDf2n-wO`}-=-q0)`VVZ_+vSLyzEraBN!qOB~ zy8ITeCTO<7umT{{U#b;DAb$)m`T?wIrt5o|ot*pp*YT~$@B+uOfEktqh_Bt) z89Ml@w&AZcC&v%>Lad!(85SyuGV$i~K>Z0?+sVN2urZ{JP>kU_nzh4ele0`cxn9EuVHpt z%_6`OIA=BriRouqUXUW$#^xCiIIvg%L#MJH8$AHj(W{%Fj7oA+NlgHlE0^C64=p67 zp6=9loXUmSk+>qVEmyYmCP7~?X_gaFCLlymqGl81ZyF^4T>Zcuy)1BkDu~Ri7|wv; zwzkiUk*pv3!!i9sz<$cCJz$@%Z5oZd6diIMODnH}2TSpBF+R?Rb9%D^M(TE%dSThn z8hj)tL`N82rFo@QSafW&SzNJX7vRJgHqCY+rE`3BMV z*RktcwpP=Mi@;ac)GWOLY?j^1+*lHJP}8I{dtc#|Xnpm4*a5V^na;@3983y7u8VEL z{@6VJ9e=H&vS#abh6NUfP!7xm{2YuMF_iT4UpW@+3|I`PkF|5*p2w9)r_+Prsxwe2 z7avJ@e&EeZvYQ0(9I)rdU3gwm(^Jst$(iRsph52Z=5KeVH2N%HtIVo(^cK|%$;eBAJV1Biwcc#-Sh+8uK%A$d4BkhvEy&QR&rNU&p)rXb)$2^ zvMJl@(v-;3&entOw=alOPc^sCgXzMsaIB8M!JL`)9J_G# zM}D}|a0VB_fJ5QPWF`e9PA4MmLL-0nwV7A```FkMwbc(c-us8~=l@%yRbqS`7SOOT zLXxvDpq<0R3t;nz+5>V7BnA|L(CT&H_qgj?4AU(yznzFX z`}RK(N_5qjr9>1_VkJdrtY*^NotHoJnQS&IiGEy9NtQ6JKltE-#BcoDYOQwk=n;y( zGJ3(bKm6#UUwiovdsU)GM#uV(fA-9&C->w=|LAKMFI;%y@RPq#Qm%F4#EIW}?)T4@ z%Z+^tsw~^C3$(R59oM!OPhU9sX2FyuX{M={m%Fe5c$ML0z;k#XrkrUzET-VaPg}MmG+2PWi#2r+x7ATrrXchjxs%@0(3C)#djDi5`3U*I7M5!hK=}Om^M?-~j>qG$D&Btk?Wdo98k4_Xub(`5a%yU7eB95eeCpJxR4O$* zJdF3nVi8~2w{KrMovxM3|FpU~^wd+`-eh1Y>hh^Gn#rXmX5RR(9|_r~L9}hX?U;sZ zY4xqemAC$%%>FMbsR>^4Q*2e1-WAk144qD8qqj8OtZ$rF87-3tcl(p8+jY9M>vqw? ztRG`U1lG!_NtjKrSL!=Uf+%!d!|60#qX|Y$Iab%{pnX81S&lU3bst=r64Z`Z{qfE#KBa-=pN^c*)b0C8P&)J1n8M+(G zjPaiCG}gJU$uhm8!wh@1_x%-M;)KNC)KdCL$c5aTLsmsStF0N(N)KJ$CZc15NyRmVO6_wKRN-qw%E2qZ6n6=8PUfB@B zsm9ueW~bI%erIwhcB3pEy~id^?XU0o%kQRXc%C0$#cxyQYQ7^vtGnGR9n_26)^!0{ zw9{pQ(`mZzaeu(m&JjhlGn&1(W zOeTXF2<-90%{x0GRbm=7=zD=`iC70m6u@**!$tZvzgB9Z$6(>`){ zuPdN;Rw}}q7pY#1Fc9BHy}q)vw7Ic1H#^5O^!C=4<#jE$ z+wSuJ>%aT=$&tyq`T3=vywmONG<&{BH~02W{#lJDjy`#$^1(S#;AK(3KSdT>hW*!n z{nxWIvrip80)pln2)(41FYe#}?epio!-r43^>ZOPksBX#ZOWsm$pd@Wm)`f>9B|X_ zv@46p)AP?TtWe)tSJDUVPED_EIYzs&e$o%P&56CxCtNHf@*L;gn1j+i7j?fS=^hBV z6c>twb^-YAcf0z7=4j4m_I~hByF`@>S(!2QiyUX>_U|`(8SJ;Wx9{FY9E1TJQ0K=% zf`e57JU=cH4u@m0m@LaY&yxVZguOKz4Ij2x{#r!6rH+Pvv~8Q@dLwD_2%BMgLSL2s z1j8GVXS`}&uWb5z)7jfBeU(XMaVkuX%i!lENM~uOIp7*10@qAR4JByd!`uY1~&%7GSW(}*$vUqlimBg9-$qSdZK#q4+KoH3df*@Fy)lZ!8 zu{x`V+AP&O!`AhzR3eTN+(-n4q|<4DG)jPpv$L~v2cxJ|Dh&uUVkAErF}DX$FjRs@ z2;e!8PebDIcrKR%U51+Ot9U z+G#a% zH!yUF<%BoHej>IGJ_QbGnnsXyH%{LIt-JoJxQT8;X~c38d!ni;K8i#lfNFsB%F4jrzV0R<4TcRhO0wJXzHr5Y4~GoPi_r|j2+i$tVzefy zQYbS-SQ)Q`7$LlU;-9|oo71h$9jj9D8jT3cjwBLEP4k)llTY$PLjuFZdqZ<`eZAp@ zW}ZHD{%7y#wINXr18Ykw%UYv3yl|9aC?%F`<~L)*W3V8$Palitvhnfhu1BfK;Z~^- z8yW>>*EiQ0bM46Io)Tm^HZ)e=+Kwd>s1EDr)#CG~PcN9}%fItGAAI=X!G*m-Z$sL% z{ghd?R=a6xmCni2R)}>I?P8l()0`+sk%$yhoSu_5%?Xj@T=~M!T3cs@*f39f(MTj7 zPgE+EYPE{?MAMPQjDEhke!~(B2BzXRG-;fWwwWi?;SffIXnBK^XEsNf8NhrK~Ywx z^VSj{=Wf$G>jt zdg0QClTW=+Ts#*GwH97@3aq=^TVP&#_sv5uy#O`~+FChr;-yq-p_epzYiq0BZtqSY zjg~on?AX-A#A|CS#>{MOtGsr(+|bmH6?R;{aPf?58kRUNE9^iU38to^M?Z5VS7Vrk<(dOnRS?ai1`M4833q#>Hx20k2 z?dB$2Bskg4lquOi9vT{o z#bW&pMWWfcp7i*xPqQQmY%oGnAd}VXPhbD!arsMW5t@{6K- z>4}&3r_;vFzRc9#%;>(+QC|Pb(+A_xDC#Ck64Tow2Yz&1cV=ROvF*z{JF!d#JnqE1 z@3X@TvZA6wN=!DI_1bo+zOyy7aM*KP0JCEnRM)L-EpL4IR%(1giKi^haBUMGfnK)C zg~rDD@hM^9g{OOQx_s|zkXXxbc$TpY!~W=_-`KmC9J``=nI$h=xG*|8N=PJH05U<% zzT>_3-h&O4&EFtq$tvO}8U_F)mKZM?JwyC62SAL0MAg$6B82v-CJ-b40^yNkOm;}vCck( z-T|DT=mFBZmrQTp9&c;yw&Ci0)=z|-o9|TCx~>`p9(l+#q-p^LD@TFpsL$YM>wP?Xtw+_{Nj*8Tjf4@cbyiGx7QX ztGESWf@us80r-7Vgn$y)G!5z=6XuiFUlPS~LpRts;5jw-qM97%q{P^$@yeH9UO&GS zN)LBk|EN-T@$_#W-N*Ny6rchl1K-`*-ZngMY-EHiWlj!dkG=WEJ0D)My3wVNmd?I& zVd-3Zdy`$ixTEF{Gt#h_Twuf`Bc*9R+Sp!9%)Hd47%4W+DH%qLv2x1u_(pyuKJ_BS z#p&>&j+1HX*-|;YwJ9u}Yn=W0g{3q3hLgLrQHGf9nj$iyBm$trA$56q1poE)$?$i@1Bg@JiU~{wC zOe7K@yPxR0p-_kz7Gy*E7BmGG*vE3{J7E0xRd=JpU-`;c&Ye3KsEB(d7+?bxl+8c) zA&S99MgY$bJv@UDLxXoZ9pd6kh%fM%Y$OvwQJ~j%re_I4qcq}BcAH$v-!V1KhE6p* zb|^g&pF9d4X=%lmzc@ZNIbPgYrG=QFh|Oa0S-vwfF;46ZvXYGNo;q`8W?@0#{e)Sq zX6^O&F8srHe}49I*JSoI*CbL*?e!|540Hq>=2 zTdxbD1kKQ9Bj4OQ6CXb;MKYc8ilD|g-e1b+M9FM!8?91&@>xEVHo|+BJL%(F;!n@pv4D*B#(GdJR7ZbB8RP5FsOhtO}rTvWtOH zaqF$VfudIA=`c=?9654lN5ulUUb5Njpl$b(qlUpMcL2{1F+771LxU3?3J@iGicsj8 zOlEw1d}?ZHdU_h14|J+hsoVhr?jtn5PEoJDkn97e4yUqx-pD+DbeEaa6`nv@L6HbacD0^Iv{?>i_&f{zsP; zjZTJ=V_nCPB55G5R$A&(9Y>tDM+nk`ZikH>oWT&*ES2q&V z&%i$L9mh<~vve_y$3DyoveC!`u_akWW%y9akw>?T=!sSR`)^VS90}VyI$Aat=tEIRNog2 z+Uk{8UYVVpotc>#85v0?lhDY3YD_!=;pKAq4t9}I4a{CeQOFJ`)k_~l&QPIl{WUS- zVum;5AP}f4)8}0uV9%pfJ zu~IE@iuzAKJ^vqmRQ;ej;e}_N*0vN%gfdfpVkjx(IVK8B&OA%NO;BRZt+So#hLW6= zVmZ&X{M1t%Z+Ggg!lLIniOHvEnkAL=vvjm8uB8JzBclhD#5mRU@Bx^v=U8Gm-R*id zSa0F7S>F&uDK>V95@Stu-`=eI`CocLiN!flq&cq9Xzb+kjau!Wzy0mp{JesW5Jfz{ zEXkFf_3bSR?A-3uw8|RIigCV^O2*MF0CnQk)%TD$dxB;prVl=XF@%mo1L9_=r~Xm$ zPlU}V|KP!c=ryv<9E-(ZvB8*|>)-*9(OL<{m*Qlymmu6@XtY&5aXz}T1DvR&B zMk_LMps{({YL#uHY3t4A))|Hq?TMq+<@b7#$Y@7zX_Zyi)Kl{>?bJ4}#1BI~wOW1s zqi}8xMH#hi$InYGv%H8(`WY zJi<^WgL(4S$&;V`z28eUo6_aWi@MHFO~ta=!>=4Tf9AASDWimNZclydtika#)kU+Q zeE@{5R*U#xqesYDWJv#%6m|9VGoTtEiuSyH=Xrb!&4^+T95{gT`)A*&T?boH8V1Ap z^XL25VGRJeH#RnISSIQ=n9kB<69=sX%j53Dmj+~DFe?Tn0~ItNQNaUv4&-*H(=}(P za=9GYZ@$?mCkKRvc>FlJ}{v6UiGA3ZtJxf`s|3R4UZfxMQa6m`*p8 zp2FW~n|r8@(l_lNT@Md4B&BPb|Op-Y+jKJnJ}@HaE{)zRV71!*ag54c2}r zGQ3b;dQX=HG?3TzNKBY)HjC%IVN8a6cRMh;x<_9N?KFpO592nk?vGvj*qw{Q=57+Ks_ z6uDSw)Sb}C6TfD*E3K`wpPg{OxUg_IkvN>q9^JF2iQ6)nXQrky*=)2Ypo!as%71v< zQnT}FVzjc|nl{bjju@#5^%R4$!9 zG&VNmbwB#)|GU;y)zmo4N%f7>cB`06C|=JKJDpAg9k0jZ8x8=dB-{)mi6H3ixH0{{ z>wA7#mWBSpFu37z^zI%cMQv?u5mY9TWNzld{rc;#-vaChM12!aq5-exAPZ(L*%KM$ zUdA9t7eD4}-2r=k$P8YLS}1*xt&d%V#GN47xD9q_EEcnR(%0{}-hZuD{dCT|dGqZU z*SI;8$&^Z^W~0$IJWdL?i;G=Weq#UZ7hWEpo0=lGHS6^?*G=u)cX4g)=z#-Q>SmjN z^MfTfJloZa($JpN+za)MQ=Q62t8l3X$gHlT3W>RwsIF_|&q$puZTocBhsIFbwJ~>T zs>=ag?GD8V%_Uptxtmcm+iDMGQ5UZw>(+xj~xam^A;!ZuGfqMJ`u<)K*N$4JAupCClwfHpVZ6Y zK`oXLYZcb~|Iglg2g#A0cY^6nRhBp1)!v}d@OFS10AoptR-`CWph_8=Ho~7o}T#f^76>Y2pn^L zeqI_Kl|rG#si~8eMYZL^v#(5Ds}BkSFV}V3Hc6TRgueX`U#PBL<@|9+DM?;0wfxV5 zBlDEuLJQ~6Zl=%H8|EHRAXrbWR+Zcg;l>-wnH2~}BM6POHB!}F^2#`bk0YF>qc`A@ zG+mQysn_e3TbV{nFvJ1Qn_xX5wVH0`=B4;JaB)LvfMx*rpH!Gn|NGzn_^*D1SX~Q6 zLXtl~5k&mp!7Dd!zB3Xjl}f2}`uzFxA6{zy(Lc;KGIu<&QG)ZAtMz^3V>{VJ-Y|Dq zDC~EB=XcJWIYX~&o5QsJ{_p?((xpp4px;!T!u@8LCUg*c(**|bkDllEzxYO%v5rT2 zS2(<-(c3Nk#PD}aboii|yQ%I<-9^+HWDrQA^)z?;2E?MjzkdTZ6L(Fi7?&kUQeR)+ zZ~fM9z3+YR1KPLYy?xW@XE$yj6L}nTdg+5!{*9TCFwH3`8OfKxjA& zRJ+Zm%m4YMIv+^5C7UcAE&*&6C~T{=8a?n7)m$55GksJtCMW{y$cna>$~2oYNzo2L zI&R5i3jPK9)OKX!@Xt5?b8Aw&A9z93bfcxH&g<2zY4<;hp=d6fFP6$xc-#Af^dOrI zH!s=gm#k)n^@j6zo~3|&CnlwyiQwRIj}-D8`sAH7J1^7Ey)yOUi?7|ha?MfIGS988 ztNA{g_81Ft`^-~`_%X0kU;$m-4&+UbUT0AcK{qR0H9M@c08tL!< zt8ZMq)R^GgabK;{iqx|ofO++mFVnowX{ICQvTZx2WfzNX*(WS(10opx-Bo0DccSqury;#JUE&;*Cs2h;B#bObF2N8P9 zR3Ym>eE7p322FW~-54Jq2avdS?Hb_vhO8R*dYLJTTuElh#3P%p`6Q-)y9`zBG^Db=~$%es+|)2@wJP8W9h16Dxua*za(aJc>qz| zT*Lq*%*4`($U^5S=pp=x8<3mRr@-;+>tMnd!k}Sltxl0m_#XYFd_I4`@26~yh@CLi zMrq+CU*bTkxa99Y>|Tuylvk%l4voOAM8D79*OSZE>pB}Ys;Z*2=Y=DU`ZHH^Vj!kg zGfKUb2#YMs>;#*!5AS~WyMOK1eht|34rdA;8J0mZne0r{mJ@_g&M&_BBB(X6z%axM zG@I?Sd+zF56tFy?^MK7*V7psX<6dp|#*yRR9GXm^_4fAe)v{Mzc-{r@3@sQ8c6@*l zq2XXa=xyK`RLgKU{M1uVy(Kj{7K=Un@WXR+bLn(?Lt>LHujAO(o%yxE!S_(Cz_wEV z{ueI*&Jpb`%zyaCH_UeG?^d&^HX2H!Q7B~o>)%|g`%lrN?cyWDYxR6-;T1r{RwW%! zW+D=kD-;1g5J5ZlMK!sT`l|C2pcG&m+P*psSQKJ&#}0;Ij9ICXb9b(c-vexWJYElL zE3KBa@0}z?rY`@j7#{q(0l{fSR};%#{AT)up{v;Dj!gadDW>7|#@ z)tR`P#sn76_C=s^4`sKT5Yf8=RWwY6+m$oxn;;0gU3Wn;jU{33&s-~Aczz(@S(2pn z+eIjOfer$z{y{GLdV|FZzdrHA6FW4Pu5Vti_riq>K(Jr>CbI_4+dxFB3yUiec0mjjAlS6lG~C`NGRZDHsP-Zk5)6 zXy)&HS1BhQz{AX|{b9CNZ&WIk_4aB6ROkjslg(WP`HMBC*mVsp-WWZ(nN4CgkIfl3 zL3{^-A=W50EWs0-)ap4Q*h?{-Tv)UXh4n;BsnqC^zQXcyy`m;2k5DX=OK0D4aA0(7 zyjrcUuCC;gi?^1mk)flt?3~le_r*ib4?1RdVx^$ln1~Iuu3!K4Uw`be$KJ-8357y8 zZ{9=%+N?RDO&hVfvzH7XK=oN(UVac{cW2l!qYf7392*P!v_hc(;usLRqang7Tv}QJxqR~ENwnX>q69I7DZMb0b0?9=TWxUSul&ld zfQ$yxa>&5HW!UwdQYdU0kTOl!IUkGTPx5y`gXh!_yO+3^kg4+8@I z++YB};3YTOy24fZ|p zXe=6yAK__xra*5%>nW0mndBHzeW0)YC9laAkD3!(ZWL1}!9&&Uih7JooM3 z@sHb?mzj&<1fwr z^R=}pUwnL(6fa!3aQ?!DNF)Lj8S9roTc23FR;#V9uD-qX0I2+>FMa9u?b|T3ph6-1 z;F5rQVZyi#*o>G2O54s=v^|y)qLULBbtV`bc*X}gH5C?9*<-~VH{di(G`xemG!bmq zxP4!=om8yCV4KbQFGy#AZOmEG;b)zSlb0@Cnwpvdinb-o+@@tR8MrK#WF|JnVu3=? z-`_tpJp8Bs=|A(sk9qr!9E)oo`n^*2 zPGNS7POK4pgZ?tM-ZGdlBl--v>`xq^XttS~htJW;rveeq8w%wYX615T^ok9K8)Xzz z)6$vDiIb;Hhy3nq%WyH6%3pZT*$@8g2jcNK^b@HwLc;p)t*or{_4U0a8V5c9$AA3C zKlp<`$Y!%x1O<255&luzfVo3+?)nqq)&REv+dI6`_JLb_K!~FpM|Bpa31b8vw6?bk zjo=jH<}|cjr-*dpo_9?H7zXjWSz>~4!7W(g2lH+srUH}#Jb&ghpZTYM`lq*ayS25o zXgg|Xn|A5q#Z=kg1+USnJ$59X7#KpA;FV-5&xW8w{@&rtN&$LYtCp6R0NW*2^c!je z0I`{!u}qDi7^^t#5om^G0mcwbF)aqF0=SEeXnNP8?z$EuN8d?U5ted7uQ4p?fyEr* zdn|zrpD_dr5EQP=GOU*eZHaYkM=mTj^9!x=n%*pghEFm=AiJEGB8mQE=fucRdS*7C z$$sVO?=LMboH=s_Zg>9JaBoiphM!{jzx&2Fw>KN2{jFFm?tD^Gsnlmb``JJHvp<7J zKm-1Iu)&0^xE{8QH+!q@QD_I=!|zmwX<<(Cw^8J6ZxHCc{fr&yfdpgc@ey5k?zWw_ zN~Kb-*SD1T7%z0MrHSDsfAS}P^7+qyeuri4;iU!Wdeeee|MK*ArJ=L7le4 zm#!Cdy>@-A$i#*mi(o}oH9d`bW#;mdPWAyM1Kc7ULT^@T=_%F|(B%@K?gO^|Yt5#ttJo>Qvw$PMeN2=)*oaqh629G}+OpH8xb*@;dAV=@-A2>B4 zGJ*bJ&)BP1r<1AF_5(OPJdF8UcGAA}t#AFtZ~O)(ciU#S0$mU`9Dq)Iu!P>yl0z5n z2jS(~Ai>{MG2KfIw|E|eDaN>ecoERnc>iy@ca7WkMcavS8xa}+X2V`AZo~ozZBxwx zufMvw`n~Uc4~`rkAK(5)fa0CXlJ|sgP5a&7`@iXdM-5FqF~oi1{ST9rE813;7A`dy zu5XZX(_j-6=Pxf@ot>r#&px;OBS0KQH`2G&T9);M>hs_8IYp9UFo_D{@%p>K8wJk` zzzqFgujZoz6gq#ATQwxgFkI_x32;AsXcqWAoxP*`Kw3w4<0>yaGNoN zp3KkB4-O7)KOKca;Sc}t5C8UW{}%hXjR3-m7mY?^{bA^=4s-gJm^wC($MZmi4zKt0 zM%8f7Kk@@uOS_Za1RfmZ;eG34(RB^mWi6df1FisEbzUd<6AMyxyqvZUP;Prmf!z6{ zKl-C<*RFl&Lmz^}I-cH`@dFcg07qY2Tl?roKe|1NU%ql>KHb=Vw6C~&`)AIKx@9EV z8|44r3oozso%Sv*+NR~$HpNgkzxi@aKj4Ync5FBKmu>3l>;EhU6PjFM)I1}$>rb@% zutBB8w`e`YuKx)suPn=(4Y?>}{p|?s4c`-On=POYz}N<_F&IezHW*v@jwLj`Fl{J_ zz~C{?8}i1+8krf;ExfVudYv;=RjF4B%X0%q&f1KS%OpQ~_SEg^nO9$Z<@n^_Kwxz# zU5V_w@b$m@#wS1a^V^Ie^x@K_OV2+0EN)SE3PN`pe6zB$@|S=4m*sMK`}8uMsYi3= zdZh%G2LN+EpMM+c4Tcv+=|L+y(Q!>ci_YZa|NFoH*kg}< z@{^y0!?wKCGvEC_8=0UvNw8}XUb}qxvWsvextJ*`0ofY`*zz!($a0KDMH$ZT2@kp% zwxPFj#j#B>JZQ*ehO>z_`$zYU4YvRh3A*jQQedlgzpV#Hm)HBJ*@c7V)3nWRy1y*#iP%Iuk ze7I7nEX>bJjhnVJ7$1M=`b&SD%Vv9ed$%0G7hZVb%U}L-E|+t2kGI=~#Ai6O)oL{o ziENX8g!sV<2hjiZ4+TE~w1d9&wwK(V^zYrd1cwjP)6-~o*{j*9h_<8ReO_hq$Eu2< z>nqIiZ~yjhf9`XiyHEPoHE!P*ZHLBfY(RN&#}v6{XAc!nYIB;ZEw2D40#U{q(w&Ch zzn!!m(B|gmo`3#%_y9C|!yY71-Ov6Xe`H6G8*0PTn*Z4+PmYX^4G#}T!l6qIuOWo` z4jkeU>Fg!;%gi5f!`r7zl0zfnxi`}_?aXM>C@qMYqn-e|kv17+J+#SI3i(mZW*T4RC z=sz0mJA=P|{BfEv{^w0mx$_MW|zn(_loVxQL|NQIz#3U&Me*V$XGspG~3=RRz%q_27v3dJoftO^P-E>g)F=h#Q|AvNKXMG0H z&4vUx42vji7#X;r>n?7YbYR4^ZJHHmn)Aj+Ekmg+UKB(9{=|6Sh*V20wW?KK3UEGO zGrjW2{)BFrufBTmsV5$P=7r1Emd#2rH8=J1AAH|>)#__s``RD>@gJvBDVV{-1b9=Wo5WDGgx>2uVj19b3D=RCROlEVUsP&;%>%nO!fvs>U;IGTe%b)%1XTS8N zFLhjh|K*$is#;WV_=LbwA9(U)u~bIg;z20Y9p}KZmYvjv|7d_EYDL&@VQPW_?AGzR<26MBoRad5yrYDmv zT)A?2Vq#)&X!so$9?~?GW0_ZPETvOPyxl9Wyz-mB`I}$)%2(hG+rM$E9$D4`2^M2EghB76*(LZZ{x;Hw71h>KsM_uod(ba{2LC# z{9^b{V%Dv8uNcQ@v58aO=xAm6GJtf?(f9D4kZl^qlcyD{B+1BdcpSLK|S)F-pawy!}(*un8t6%-?alUh-4f)ab(VE{5mu zz#+%eYihDU>23_u-P~A!&}i%4QoHZC9RXBqzq7j;?VyL3UwiGZzx?GpSu48loTi(P z?-$;2?idCL8J6?CJS~PIj!m#0e>FK*FE(VYm*IH0AH#ba*%`HxWH^u7$SVuq7Wp?S zN8xJ#qM_4m_!oM(p>!3>MD&9LO@I5&;okf)u2A_+$~ou;_YbO^anCWs$p(8xAk zhYu`5!@s#)ZqMvV<91J13EMEsKNXPf8n<_GQyT?Vkfb9Y*S#Z-rFWz@vc{#QrBbQ1 z0h2m^cEYiUO}WOlS);H(0ln_bFEhSAPKsG_@yUlKknaZk(ks)eLhmRA_yDYzg()`P{9vfoNdjPLhxI)H$i!5On8g#rz!16D!}c~EhR4JV zCjfPT$CxM-^M}I)J6rXLI+%=Xy|tX7X)Sl7kzeo+9AQMCzwe-2T&%5LCoIEZVvSOX z;R&T$TDkmU@BV|6@A(8^^OY-CR#sO0fzau3pQ%z9Wx(d9xLz>&zOcK~#U_s}57Ubl<-9Q-=92P#xR@z=p3zR}b4f z%ed*bL!)DtJwMRwInX=diH-*P4*2%Hqp@~{u^I$Pcf>bF@iv=H^zp{vD`@a#yRXQha!C4c=>?*>o(Hn#X3=U>71IFxYH_Rlky>T1K zC7gok$}vSKLNyG+mSM!$lg?#Hic)J?CVtEt9oCy}{%vo3pJSW#)RbitEZyXIvba1y zc>Ihf;IGwN`vv3liDS#l%eh=O=;fY%Wrh{~pjp_J`B*Gs+dC56n3c2IZtwxR3X|2z z5RT4n#bOct41U160Mtj7oq=~qBNxhZFHkg1wTi0xBTgj^IP`!!a&K=7{lXW%080xi zl<(dKiw!q@x^ucEPXA=QySs7EyZaTgO@kz9&KG4y->b}gO?0#lLKAmuLI7I82f!x; zC)}Ct6oCMS4W9wSFnah+(nOO)p;9*(*VW5#$UdQ!&!(1^7J=geX9f^XL=wXA1Ryah zkgM0{{QV>=`1n9CaA?a=D2i>na4UN5Ccln>p)A;(7y3ue z^D8X<-iZtEaBQH{1Q(3nTw6STaR14ZCxO&vGgs-_96#~C@YvbRcfU8`Cdj1U6qrG* z!*juSvh5_~9Vd3=XP9^rqi;8;CZs!?Ix+C1fB(<0ycedx-6NMGL?!nlUwEJ{z-j>v z=>ZIe-ihpn@xjzLJFgFRA2zJ^hE6KoncXnU@Fv20`s2>n(=~4I;wA=SMyqP-a&_fO zX#8C8+`rRomUOK3%LuKzxLFG#6`3>&eFQ(CqyT=f)X>X!y#;kka*(TNzQjS>)SBtr ze%=fOLx&F^e(bTw!u`V|7k)-AWjL3Wl9u7*SCanzV~yOb1AhQ`S5iPFNs7^`Ym{2- zs1cafYRl~|xE<~acS5Juqc3o144A$L%XiCbu8#%BD|9xw(fM}siRi!mh5}2GJmYAM zqGf1WBTuvwlj_Y947)#ZJQ_3#3%4x8gs0&|K2J(;7@XDH+dDMapYW=!T3(6{Ilkda zrMitKfsDCOC;%sh7ak@BZ3))kJe`dLqqq-mD^ zaarL&fq=2?TDi9o-=Ib9_VGc4?pnF;HOrW>=f`L3?!xmfZY1lWXr{V$BQS6jkk2=8 zj6LuRip4tSMk6^uGVsMMORpn@BS_b3wPZ4hNHUQ5Bea3X8>l@G)^vb^1d(|nqvE@(evxzwb)ym!x0==LKHL`P{msD4;%7sOj zM)#fR9T_}4>8sAaSj(gshA28hGVQX}nVA{j%D?hIe5zGi)0^eM$ivBOnIee|+7ALV zyyW?O9)KBS`UYTL-!V8C9u|r95B%!brmm{qeX$GwORKP8TN-=;?AftF%lI)GCqXwF z931Q-^fuxfHzVG(w9Nh7&{M37(A$_WF&puZ z4!*ni%AXp^=UJ9VcWwkfz<^@07>~!d+)qM~#$;O{b^!(e+pzK)QUN&Kw#?ORMc3^9 z{v%>!G^Ecz^~AY5Q+IlMdH^A2^A#q>^-LUIy?ITFM&)Xapu>)BNU^cX>Qx~SHC!e)Kko%N1YV@rk&2bas`^--80 zGHp{e*^vMIzvW^F+Jj=rxkX>!B*pNyX%P00*DSfbyo@7;4tL#Ga`O^}1{xJsVcDfm zfz?+#=>fWJ^DK8<#(uO_!@KajTifRd;{VkZM&zZQeXJ+k%uKUVm}W&WG88=h>54a@ zFMo$M$|UnT6$40sr31hNFt82aAxL8q>`JAAnZ=LNyF;bzX4{$8p6iG8~a>EEC%YRend0^N-&|Am#BekQ)rGp<#oc-@A3l}X@_k@S4 zYuEHxMh^PuqmMrK+;h9}5n$1djEta+)6novw-5wl3ZMNY%6!`X{}kLI1kSd97{3nKxEunMkWtnftX_Sop1L6ySAZaMo)9NR z#Lxh+e7m|tQnYh-Gn=?ucnaN;I~_xF`sN}Z9q>k*+xYnS@bK`K{l9SG!uFVl>G}YS zJE=C1I(K@7!$lzOnRQER0N^R*HUGd7-XAY7UbGDu+MaT@1SdduXJ39d8X@G%4e~A>*`Y@XChWxI+itHMTWMBW+)(75zv~}+ zOf9ccByGsG+|<)rBk#tPD^<{k>ZvK)Hc9#?_k!a{ZjRTYUnK1bvW1t zp$#`igBlqb>B94a+oCRlnr#ux7)rgKyy1xqdBTJK{=>fbKDCl6&AnjC<>16qiJ$wA z^!WQ#xdBXC)AdH9kxHe|guA^Y#r;>;0!)$Rrr9)EZ)A|+B}xePdbN>}0XSI!5S65- zzxRA))r%@@*zx?vZ=;+AA1mp9OqImw?Im@|Spe;aAn9gy z8uTzzsk5E{;SeN2iQ%E2@Unyf$10!QH}qcPg9TuA?<2rE{K!W>(xuVc&$64F=pL@A zJ8#{$=)P!gBP~gbAVNdO0iJnZ%y2Vi9CWvYTNNSDOY@uoRR-~hQL3p}^h5LCnIIrtP1M@>}@__D_*hiB*JR+g9H3S~|4 z@83Ui@<^yR;fsZ9xk4%}wMt3B9|z{CRx{1~9MEW6&e64LV9yx%v_3;5?m%P8Gf@;_ zG~lvGsqa-N6At**U;WikD70nI;R;JjOS7}Hn?)h!%PbTMa0~`+!7=bg!I*4tQbiMj zyH!j$HXpKR56yDk=rD{e&GMiO)slBA3*YPQ4IMst(i;p~a0*G*mzE|524b<8BuR^l z3scvxB(;zfO2C7cQZqhQcZ-Fz4g1>wGbkvPN(DNJc4L;IHMKdbU|u`pL_t@$qr=E$F`5_u^O>Ah1jO zfBW`rd^NgLyiLOd{y$6tpDuge#SK^~yy%tX%l^ItAd3NX0Yu>4CkYbX8r#$@Q=?eE zRa#>hZsdu7Gx_Pirh87=MvJB?+*i)!a=^@R-*-!p2Ap7NCR3=XOoSCYVq^%gRw*r- zT9tB$iOI>w9(!zTeEj&M=L1Hgk}kk~p$l@YPO?6LvD(@VcjLBIVR_dHTwZ;Jxd*T6 zc%>m6;&v>2hQ0xZUhm z=-2Ju6vgOO))SHoOKL4kF`Q%DtbmCL{KmJ8A*k@@CniHko ziSp8=wyT=u&b6V!PxbU2cLv;f7c4_D4eh70GTj91cS~7!Io6h|eGinK0L2lt%&xIy z%Z7UyKg<=n@VvWiC;$k7zJrbITq8RJV%oJElQeMX(&8)4`~py`*yQ7pedkG9%-r}6 z!1=yk`U_^_Lt0CA9gis&q+tyKR;ANvH}ltBBbX;4$ttl#8Ky_oId7yM~A-S{+td68&a*0uv={gY||g%U9&WVrl+mK*ZqC>CqGKdhghXdG%^~VFB$?Y&`A;eG`PLw7&Mr z#qm%4Vz{TbmY#Mj)1R2EnL<;iNXPDs^LoZyEEZF#6g)4+UlHxlDUAyBe&~zALm!ay zbFU8(NwK0|>e*LWddzdCYUsMG+YP2) zt!1R%$>{#aIVsLLx$_@?a%pDvP$JGT%xWrCrl?3f9t!$qZ%+C92iESaRT?1|{(bRg zZVouKT6dFm#JGlIYDIwayQL}CTb?o4Y4c;kF~B1+5($8oXq&ZtJ|BGk_P4(c0`AbE zLmNcH>gww6{_gKS^UO1WKmd!(DD4Kf09?n7?afnQw%Z#CN!qFaj0~J;npRIN+#DpD2Fy#aHBm$HG1Fg&WJH zI3^btNWxLeX_NIcdciaexGdfg?p3K&0Gly^8uq~rYX%C;_IZ#0;=tLD^4_RiUNz(r z!+T*;S;6NPy&xSqw;+c48|gco6lO)ATv*_xXfrpjHw#)lt5mZ;Z5`4^)u;QKZ#g)q zBJb*_sJE-mOOn*h#C|Wz;rILBs(A0h^X`Uc!52{G6w_~V=>NHJV#?nPGcvz{Pa zk!A$6!5V5^4D?Vm%LjVYS|NGqtBll3hQ{?qjY32U8I}{d+HIa=;QB}n(Zz9n`mlScnV6IVD_h`JF>yDq*~>4#ytue{^ytwJv_Jjy z(}2xuYioElOlv9#0%jnG2ZYaC)@MZTu-Bony*u8auyE5zBwQ|)sKAI69cH~@v<kIe9}<8uy8WLQSj7u{I-gCoTN0ZfIu$y?M**gbz48gKQZe zA1{~7U3h*_;2Cg2>Y1QfQHqU$L~iC6q}Zsh_kb8oX!X3C1EihGnuP^W8XQaIYIgvA zkO~ub-ND`{4@HvqiZw#y-dtk}eaiu!zyJO34-5kviV@(a6pB( z%vFLW_YOQ`6$*5IK}Q~+ZvJDcmUY5rB>f_#N%rxZiFr#7#uXx zssHD{{x{DP@9Y`wGYx{G2}9Kur>l%xsX|byX|0x139pZqC9lYFZo+e7V_H+E-e_9! zhr@?H0K;giHHu;C={t?=j0^C|8*+XT^ewr#+$ycYH;vRSxv<3fqNXO(ELTrXskJPC zx17FqU+r$iDssqw6%h71GTT5fZ6r+vdEuGcP8n&wyZ_`j*Q?}MD zHnX$-zC%EijaJ1I9R>_0NJ4Lx0EvsU&qohD85}y{3%Ge7NrI#~v9fa6-+$N;`xHIt zI4XcdXBh!PXR}$aM@$!L1!`3A#Vu3w^-KU=lMBl%X~p^{+?`X4@Etnxog1(9M?$P9 z0`aUC3Pz<8k{fLDmJx`@$IlbM&EaOD{zh)j7wHGU0Eq1HC)|?60*+|k+nn07)2nS* z7l?aMOF#Fy&w)w-AGX=)x!3hOzhcpK?A7`*S+4!rwiz*GDs{&j5`%rF(x@e;0z)S> zlWHn&Kw!C2p$+5Qay110XJv)D^dR4f)>2bgxLn=YRw?xsO} zOX_l$J?~=n93D9h)J&JlwBQAj+Ag2$mPZgneekPV%hWT|fT_GMV(BeiuGoggiUEfA z7;Y)%OG2Qxwss>f**r_ha;xLNL%U@S^-@DG68(Xp)4E(@MPGRQVT$GD;+oHAo%_HU zhT}+@U>PP=sa}8XJ7H1OmzU$Zek_qVwSTfsgs-k>j^5yeaRDa9L4ZfxE0P zGlgNt@b;plhUL3u9F%FA0J_^pBEd1$YIXba18^AJean4NxJ$FyMBN|Ld3N|Wk{eOr zWjd-`wBV1qnMr(cwVJl|mcxh-^)!b1dx-X)_x$|)$y29vf~+MDt4%$1=Qc&!(f-8T z<(W#p#`2;!I?^hwxqf!4u`+wT*{pj6-p!c0&O#W8MCytm^c*G}tGar1?8*Pp&EVOp z3V|M&Uzibp|ItR~Ht&nkEKjq71B2YE(ty}K6Pzbtstu)*;(X!4%2lIPzi*`#40SLV z+_H4o1BlSLyR_FBL>rj5EEoGA@~O6?`_5erx}Mv+`IWW}F_2IyNlR@BXP=3jkv_LY}qRkIrMI7Pny{P~AYoQTF^Buz`4 z6&gMP{j08AfeyJ&OoG(P&(ie9lu}q30)P&=ok>gG5D#mLlKfxby1FkV!+Ox=++U>KIJYw-5QVlkFwU|uX; zDKB0O44zAF!^=zOpz9}N>2U<%s@d6v=Jbmzx+;dwW|&$?+DEs*v8!~s_Dn@YWz zn+E`1yZ9BL)F90Pu(d{kASv6_Osxsj8Bn&obSZi1tM0aCc@20N!!m>eJeZbzfl5rw(fmavg^_F!WvAop}qkwn3lQwV^ zEP#Qjwma7B^%4Z5R9)44|0zHmb+KJGfZ$(8Wv>Bzowgf~&t#8kyp48r4;0B=#%s3vc~ z;0FhfgW6ra4m zmf{ltguFinFs#-xfq|oZAl}X&sF`X*YZPnAn*fvf+fO$#GfH_ysb=(MSt+f+@gVVw z>P71!_k%zQ|qxAuAnFiU@c0APKFb7ChyDzZinNIF!ZIrzaMU1 zY7v%0149)93ALJ0>sioOOkG`k@xQ$P-A^1ic&Kwbfn{D>%`>rtn_SbeXD?0F)r3QE zpe@0S2>u>9zi6s;z-ikwTqkgX&{_?H3Dk8?vj{+LS+jJDgk!W?uAZK%uHC3CU8<#S z8Lb*nc89QO&MgHd7nT{p2b}>n52LNtbD)I58qix+rL<%<)=YCZ*-K&SQF+>?km%l) z-LO9Q_Je=^^PjidEf5H7u2c7b%<>MS>ALW|Tj4q2^D#6@dwbj<9~Vu-Ae39B6}M!C zWw_;^0ZM%_n)ftwb3lc?kzo+%N-ab45}=gPatkMTqoW!js5VOqVZB)r!~Oog1H3i%eWd&(8G?c{x#ZNWv@>&c?%lroFwrxm+%v&-e87 zSeE(p^&07k0THAbAn_%+xXAKeIxu2YmjV(GDm1VqjH*Im)Y)=&`_}gP>;yXFelUCq zBD-Un-qHYmFL>@?bEDA!c8>Kn&_@F!p*QIAa6kvGkJ-BRdW16wq!U;{L>e(C}#hZ_7~N zB7n+5phvByO0rsx2TFFsI)4xXh|%d} z{m%3Q1=Tw-1a{$hSHiO!m+bNM#3DKu<$ZCAVK{HNwsyl49Raoq@)`&kMYBpZRh)eu zU>G1ltLKbX9dMfU1Rb}2Gb02Oj$`PJBJgiZsRf5lu!7`?3@fEo;9(?5vx1NJhQ#my zusueQ0R8l4Ix=$5Vq=B5t0M>d9f~Hh=~F#XrVWY!%s`+sne-h`6Q{{&dH3gCDu`R!z$1&kAajLD^6m_GIHFGLv`n6MiSg= zH{3bi@DAWzip3%zF=q2dJO~f#5zf+@MNfFp z0wt%KZ55Yl$y+evmaf30>#d4hSR`qVZZ7*hj4Zc+ru=BD#Q((F>nYnD2d4GGv3Ngd zHI>mx@bKZol}cqx*N{Cq#XIo??85WzgJ;)^SQPvF`vsnF=rqZBDT)TdBn10tmIn%D z8#)l>R$)1R=UK-zEUiUxB2a3eV(n7FfU+f`T?AUI=K*>F+F4HkP64?OeF5PfojC9B zKO_Vaa7t+CWFtEZSndWr6KZf^f@au8Q_#yZiHUxF=FZuPeZ*b48H>f5O?ho)X}Tn& zvL!<{>9)ztU9%xjstxJW{>_y>o2%DH41Up*A)3W40UgBkD@5e@Oer~n62u-*^e>2 z7Z|FW``V`b^3-pC{7^%74d$Soz@)$_v$M0sLcUzBzIrEBZVX8AVRsXnq8k9utOQzz zTF(=X#Yth%rL41XzAKOVbOhh!zjVU0c!z?ac>e(88E&R2Zg5qtYU&v zJRZOaIQ^DY4slm|z3mi%ITQ-v=65g{WGJGBT1OCpgV+MA{W0|SD>|ba0YRIE`Oxrb&2{7+ z75s6~oSNAg%h0{y0g`56Uc^wp8{!PwmOpMNb*)(d70Ogy>b`U=P$_=rAn=u)S>&ePF|o%H=ZRH0b(R z#cr=Y>6;ShELW;i$)6uF#dbtP~av zwE;b(IYEk#Ro8BE-eAiS%~qMzYaB14sKxBo9i&8a_m*XGG0_1aF6PiiOZEB#kQNi| zk_^RS5evxQ>m`R@*X7Z4Q-@;shYRg+BTJXL0dD-gG)V&H4WIuMj0W&vrMyN-@ey+7 zfBWc3hIP&F(4XGk-p*w&-kH8lOFDlXc(z4ZDU4o;E1WXj@h75xkS0N$_oB=e3xoza%B8rlA=J7GFlZt zdWz)$-R1lu!wI~y%FvYSC@x7D*|L{*G!dsypFRzW(Vk>lKV&V!JPPpQq>I8#M8q;kej-qSWy&@1W2?_2ZZ!@IuD-7v2 z*o^GC!>aL`m~zt9Ky0%pQ$*}E3`HX|16)>$jRO|ayw}anR!jf8_e92q2eCh(ngBfG zjlTQp#cSRO>kk)-QfT-9%tEV_l#6S6vrt~X6&g9yE@eT$pTL6|&Rb94_Qu8laeawN zS2Z#9dU^`Tuo&ny?6~Jaj@WZdo`~uCm zJFjl-1bJ*YUY=9U=9uUKAh@(vXs0WofCOW@M~tn4fA5uo8=bZQa<-(`>l;QhZ}~D~02TU7p-meu zhLW3t<_xNfCI^SwGCaIhM>!*H}AYYI5T3A>B)dc$U zotIy|B7}SPkJq!MOond9n)BXhFXsuYyz&iG(-__dHvmNnZmBo&hFpQs_QZw(iAj=f z*EmT4v39#;>h9)rJ?Ew^iwtRvyqglWo!Z6JTX0s}>CZK5W2O`sSRv4>RFa_gkXlWm znr?y7y8;e3_;;y~*qb(3IU6MSZhsVr} zz%#H?^la+ntwhX`O^)@38P?+o4U|_d1OB;w#h#GnivBVq`rT|)a)oy{FYB%H8XzUG zWDw-yR;y>-)XlmA+{>{HZ+y&ly~!HYwHt;~h09Vj&3QwfU_UMR9NY2526=yw z0D4IhYH@btK*Ed--?(<|P}D1k9(;v>(+mv_!9z`q_7UZo%Sj-A65*DkrsTrX!0C?w z&b3M_ZdW;fQ*M#19Lq2?!{Sabx@x0K*XAAQj$X3f|Lb0(x(z(L>j}Y6E$H~l@eZyLG}^=1V#$-;7-#iXB{%@vZqH(k!3f<%n44RnP{6o5RNr^|5G4|cdnsXE zc-}SejC-Q%;n_XWu^OtwM@HJI9RXDf0K9v(tO!)BnV%00pYXfc zxhY^{Z7*&UxGJz`n)6hbUt_%?0CK%qa6Pj)!LdwV;(#YI=o+_OppreYeZ|EqqA$dG zCD8fI+U)S5F_z=CK+pB-*AGU#z@hW`e6!iSoBW78w!g2kdgFG<%ZonOn~5OdcAn56 zBS>mB?TrkIvB|pJBGf8F>ZWC*hZizqEHJep&khFIU_ygVp09h2Dhw&osr6A<=_wmt-GG=t$HK1<_P|v)-0#4evk3?gL=gIBcM5nfnHvU z*4Az|(szVl0`3Bu3e5^ISw^c0%8(FB0O&HJ4|FM)^$K2qVVGZ-uSRCp4X@%nN;T~` z7Aph*g5~@?%pm-yy5+F)6em!P6-nfryN`_3yJ0->!=8VkK;9vlc0DL}ZJbg!PxbZ< zZEPTFunhcew0Liyh^7nAy91s9NW5MzIxzt}cOc3H&{a%=^J(owQ7mv}_$D`Rs5KDx zfGF_U*E8XI0@Ix92;6rNM7-rj?~JOooMo!;6F`Di&o#0$a7TE9hOZXJK6UC&g3LAB zDNSHaqkVgG3SS%?I1-Kl81BU65O+&h!uPmuyc z*>?`q6tnH!#s~V8;>`JXct?&Oa&noWzJ%BBj}Hup(dhS{fBs^&?1{%6ljOY~h9g^b zIg=!HwUxT@q7WK`Ybv#j7)X#54g9>edJSd@W6$9`kMbb{YQa5}F zpbIJ&44N-K4vGX!gb?f{;RXaL=NCCCM3E#+C4e`@u%=RLl~x?vVYM93F=Tr$e?2_I zBkxuF_LdD@4tFoj3IqasteDl0LlxWA)x<$4b>Vq;!*ehg?8NNChmIpI$FUS6I?@o3 zE#P(l&kkX?Dr>>PlR%y6Hfi<`90qLA-9#1xmJTRe_r^v5B$}CNKm}lq@LBNp&@|6` z-LeY2FA5z}%4>oz#`$7$VG*DL2%M=jfWx`I#$vd#e4Y3D!%-?e6m^ZP4#ChaLSMUb znXb5&ZQRza*Xxx^rCg~F1kCUM>(@)F!0~R3ubb9NZ7_n5^M=by7YWCfV&h!TQ5EQO zeT|_zmV37$FvFz)VDPCsandkisC%x*X^gyrhDpRQn;7&54n}0^giWtAi5eOu(ZlbO z#vTpy9kdOlo|*#fAvAKj9c;#dqGOu|e1Gz^e(b4-l$Oqv^8n9QJ8k{q%uI;qeGi@Y z_w>|q>D=PH=CX5U=E__-mGVR;D28)AzM3U5G@v!|mF3Hv6oHY1|8d?3=MBR1s`V@! z0&@iTYHCf;qFmFr$M21f5H0{`;37&jL7xh<-q2AwV@c}~I-OXxBs}~qia#LLCiftJL&1G*s zBYEl+Vb(H9rJPZ#IYO&8NaE#heWO8c&;O^|h2ncGlDyw%%g>37ZdVr6rcM2=a|^WPo1WY(~2`b(a+4XTToJqzw%KxU*~rc*m6Q-jX!SfrGcbc{J?D*& zF|6orJlk&Ym74(0a#N8wBF;Wghaj@9ii~!#NBm>nh zFI{%p4rPE$z~oF#uBUDRYmOg$2fCgCzR^N(=H;uCr^bdKI!sW4oA8+;a+tey6SG=(?DLzJ04BI3u5oN<#hk!G<5IDC!c)ox#zlK@GUjmjRt9evwWXV z@x2ydmp$(e_KXh3fXblzcal!OK7|yiYCxR=G{*z&bK|CbG4u{|sk3QRmR|!TXeV$E zu)L2IeWp@(kwB?4V!+Kp1=KY&ZRxUOTWU4aswDMhp}KO#4ev2^!u8Q60JPwH_~h?B zfDzT4$8Xx+?3x@3lkwq%>z7TEO07Q5lV=YdTAQBEHJia`)N0$Qi`i_$G-HXr$-}+1 z^;d_!Xn7tqTK4CMfXV;*dH)3zxVi+(iQ z_;RBx#xQ8O24JyliS*zTLUbR{(^hF2IvSgNA~JRsjmd7(O<=tg3lJL#l_wrLRLSPm zM%C-{Q5^5&QnY0dwc10cPs3y^tR;)yfG6MswdVP+JoDNM6@u}#Ezdq7*b6wCzVdgx zn+Tn06<5`2s*#(mEWHME#Cn4+qPnHVvcRoD6LNKe(4f`;l}iM50cNC~{Y~=syA`pt zTCTcsm120RUDQ&}FThBGLI$^RtB5kZ*{Xz@I?FN}^b&w)^rwSiMB()yH#B#nSO0yE z(3p?5D zl2U7F5bLhZlja!S17O2?f&c(sU~hn< ziU!OE<3(-Spg1klXxo?E-*fOb%8RA{gXog0(!MJ&Qrl)U~pidno1>e zxoB@M(A9;R8UMfl=kWlIpFA>X)n*qLWlrjC6&HcQyIbatBgMwxgR3YQ3d3-L(Q~$^ zS1By$tuo+C$G;jy74qOtt!Ug`?rhX`ibWFZqNw3?7&><&R@ZdHA`|EM!E@35kHJyE zP36MU=%fF}-*?bWb4?J6TUI1akepJuJw9oT9y<{18;lN5$aO6}H{UE5GB>X5kH^oR zI%T%EpQq;+)x@x4C{O>zw-y#Wfb`Hi-roagU7CF%bN!!O-rO@mGXiv0DJScxTi*CM zj6a}nGc!|~dl5)>+mnleIRcj4%r63HlMLr^lWE(aIl)tDjRHmUtl*R4`&^1pT7hnJ zVxVp0Xu0~9CurB#A|7jl5(8s}oAKx-)`jPeA@sAK{p^b`zIfk??@rB_?qt2aw!FLy zqldYM?&n$V!t*`b_VGFQ6+DN-;mwZ9gr(IqlJ&-#`2`U1Knq>WR-1stz;tax1&XZ8 zRoCIjaokj5h6X@hS-uRy-LZj^asaoC;APv{tXzAkp|;J=Hjrl9G65}I$ZUgsJHyGW zq155ZZeb-~nC64a)5T_fe)!0Un$I8bdn8E$&>HOR)oZndm6dQJk;&(K$Hu5Ok^yo} z>>u(n>G|oL+-UmRycw_`vzWp4i!;w-tPzlVDl`Fn(L=R79xuo9=y8pYz2-j!T9v!M|`iLlG7q^&I&G7aA1;J#aLj8lZA`^dZ~L*OhO(zqxfmcz>T! zzIyCjZ1mL8S|%%cJ)mBA0)asPK=#h8HGOStWJFO_nqlD5vzc_(CjRv=pUaoyqAv*A zj}#l%nuYAOe+Gqy_s0R7wR*Ohn}NXuHOLbhfZ^4eMG(F2*ouBnWXKJTYnFjVH*<5K z54ntAZ^2vuvxgy~C>G|?wIu*-)3h#^+=S{^6|vKV9m;sBbi)v6BfItl?f^Cb=d4FzFt>x$)Cr%8(C0S~l#zPxl%t)?xlMYEnZ z9vGY_WT-X3a>upymN{<-OIo!`tH9@sR@G1%hT3eEQ}xtsrIK+GmZa2bs-C_L7k1&_ z)PT=rQ+jUhc8G7C85<$nBvrSpXeeaWYA?U=Len%oUQaP!D5TQ4OfHu%2_8YtU7dOL zWt$N6MoyQDj%Bz#^#p*vQ#7O2a}>k69Qpre?>&IrO0RQ405{_zXP|RnGYyAHGb3q6 z8cNnEI!IoPy;|8%R#|KB)^piaUfa9-?5ZbQPnPY~E0rAfIjv<`)>?j&ys|8Nq><#w zGvqJ~W3$;g0%+uXFKz(#yZDC~s1rFPyBj3$A*%}wpzrmN?lgGhnx?73>aK5uY$bd4*?GNQmW%1~>J)ld zE~SimQ}v3GSA;f7jZqA5u;i9iL@`{`Nco)wvj=YABZ{-*O)0;O4hQcuhEG$hHoDPJ zf#MX+VJv|CUaG+Hyk#RTRH;-)v8+aIF z_vi|EupOuX4sD!>vRd$_CKu&mqFzdu6BB?9fVvU?)zGBOG_4jHt-z=`R?GMK880i< ztEIXIgH$cWFN0+=b{7bDL#d`#$`jB3pwCNjR%!Fj&lTJ+m0;HvqGd&_mK?&jVcaDDUu9Qd2f77kHbd!W?Nf(EXZ<8#Dmt zQX!5J0aPwVk!k(Tes4r+J z%QEq6mwO*L-oGzeUb&c0%e3G{PpDE+DW`>2nr<;TSk25S)jU|F7#iVX$K<-EmzQaq zMQd#~x5L*v^MYY0Nl%i)(3H)hXieEM)(jj89egj|%FVutHjn<;e{_V$0D*uv7#U(< z0MD+h?ZMK?$ERIAefs57AAg{4cxdR-l`Gz8RJ7aChhP5Y z55M^Lui6LR>I@H}%^=^IsTXO%)6^s?KR)bhjQ07%UePVG)k+yn;_&yTud54VZ~M6+XKdoN5jzIBaEywx({3#mI@3nshHqBF}uGH z=8+KuE|uI=&B0kZPmOmj{#?!|utCnDnX7)ikbO$Bi_}#O1GB#$a=q=Cr=&X(di|_3 z;kjGfN90uQX7h>cn_`KgsQ~E>d?U7|tTRf3ZnP4C(X5f!8Qe>$7VO?$5L3f%EPA2z z0Rh$Yd@Z{GZVEsGb#6swHIz!WY3wtXL7Mvmyw3&R*{szhmgPv_01?66DT*$Y%4%Km z@J)kBOXXTVnM+I?4fFNbtWC+{d~UoTW#*3V>!oNTifv_OCDzk(Y`C{Jdvz*Z;{8FO zhq3*g%X)kJZ4}!()^AgnSLatKd!$|feRQ!7pYc!(Z{!27SJIQu8%aE@R>sq>P_9zq znw@DzBTH8)|k(bZyhpq}{;5A6#_jH1p9 z@%Z5AXth%MuYd8KZ@yfySgF><%PVL9zueqe5OG#chL~(m(4}g+EY}-G`D(gQC=jL4 zwkkYsr^hLP)K+9wsbnx-H19OnGw-BXJI&cCiow|7gWUHPOcOr(MnTTp@E!kDcr-*5F@73elU4-u1eP|P&H-N@n zH>Sv5>1Lm@EK3R-Lz9z3_ZxV?bXDQPYAwf#eu}e$PE}GXQ#9^d^wh5kMvE;VXq>fwr7;&58<6a~q3L3@P)c&xmA>~%4&y~~5 zyu;6Mg5VoCGcRAceDUzG&*^l|&d$bSF`8jV`+Gf=^yTR}DiBsGz<9+K3K9(z8jSh< z&E&N!g>*r1hm~r!nwkN1u2(Xx;!c`o?0+vdwK{G0Se(6@RnRRqt5)S%3b$~&T(DXI z%#jGlx|3sQ9b~akmOMvX2R@>!MliOGqCq{w2Y*bJOGY{{hAS?er+F8yX|XbTbzx*g zI{KbR1h;#6{Guy72rP620*+vG=FE%wYybYq_r4<(i5iX;UC&j@byfTHpFDLY?zO5F z!5glZl8dkWzqQi*rX{yQp&68QFt3<g2A+g zIumbpJRT><(lDmr(B_igS}>Qo3J$kc4yN3imz$j9=oTcVsE>a1qvPY_COmhYbDIP- zZLtEun~kXBRwk@kt){n#Y+L^l`&yAIvdv|sI51;?Des9I`>8f#KUI@TAjV)|Afj?^ zg%y29u1ebQnyPZ8b;@cQWPlVtnSjDwSEmMN`(ftmWC07yCU;%AySn4w3IiLcvkqGI8bdd~($p2mv@N z**s`;KAx-=GPXuKe(?vo&e~Wv=kVG6{en9Rf@r0g*wLR914BSoOS573#u|*1?R!+_ zVl~Amk!fqx8Oo-rif*Ng3YTyCGK!-adAP~A8cJ0uulh&c8b0`hyXT->Ou~*q&rmFn zpT)#ve&K@OUwiny`vxA^-)K@=UCkxpzTOc$w$^A$i`U*l7k>KPkJ2oM#ZxMkbWQpG z3n%~bI}3|am}i+Ju$h=yz~*wfe2?#-c)@27xxn+dzo>9gS zFD@=(g_`iZu}5on8$dE?Z}A17GK_kX_8p2IN|x+H1G#H00V39_#RlVU=!%gove__l zaMr6(`i{sR*5L;v8^>ftuTdP@8w2<`!h3XsRrA4pj|cWX4y9jQz90q$MSp*4Y0|1m zcAjdxgU~{s&)2CYNca_W8S%YGgKnN`Bp1eW@hQRA3%tw}s{i`T>CDpjU{4^E$*!!d zBoc{AwHj#37k=<>@qDF0+bvd#VgW@?G0@`-_D4qg2M+cZk{JsVVt9w8b>z2||1t~= zbH(=CC{8LQYT0?#?zS=Z2JfrcJo%DTEEW~_0WEM`5qiL_@o2O`yH&98Jx~0afAsA} zzB5a+oR|=NeMVfg)uz-{C!1$$uk3mF!QkMCt>ubWWl65qUExr*TBW8>e|*2s!%_po z!?9RwU|@i@S-`?Q_pAm+OY{w4^p7p+}_f1Ifrij{MRLW7Tj8 zyWr`u`+C8i>*cg7JSzD6j5ubwtksIDT$XZ+vBN*^9XyUVq4dkE zQvgM0c#l#}v(;IaVcUEn7z}P$dKvr-R37F+sa&>m%-C=rqnF~dmu=2yaOgN67`ZgH z44i(~Lwon{-yaHvqS0voz~FE!a(Eybuj+jNe!I)TZ~|p8(Hzb3kv+qa0k4$4noAZa zK48)7XgPSKp`$bvpxZi^Jg?S@WCz`7xfs$J5A6)864+-!^z}M|Bi@0dyek-a;Qewb z#e!VYG(b)&tT>`$s;Vpb=>xH)_kSSf8am+a8(O}6L01%q-!GL)ifU2h%3$WoCm%f+ zjm1{t@u8t1qyBES{3n0^^fzBg1rNN36~z3)`P9TSA&2GYo>0K&s#a^H2nRWkO{yfV zaZ#eL2zDB?4qew^dLI20o~yKSC3@%soXcoGa2kkP%Pzr+f*E0>Xp50wP1fW}Y3ULO zw0GzsJe@tz4@(O}Y$O3~G_CnbuaTFXB|!|h5ln<^Hfy<_^Z*lv{A$Y0$o%{~hO$ds z+~(P;d!9hIouDQ>ccXpq!4H0L&BnueA!#K@ifQ5<#S5p?dELIYunesznrgG_^@?}! zEnrucrmod1)r`S4b){;Yp{g5In<$zCv&3s~WybERre~FMMy;1?*+pQ3ksz#`;Ohw^ zb7Tvf0X80wXTvjHgszd3qaLpp@DK|4LoPag_4(xTtTQyq362%n`@-345m6Z#>}$=! z=F-Z_Bgc;JcUtEzzm^6wcRDGXrI=W>yNt6{fTh@;0k>PpFHM!QO7047Ia;kEF-6TNTwAAvk zP{`-=pw2Thv;XIxJ^in*#yzop(3Xp@ezUrG^5Bqv|4>K}c#h-kb~{D{pa^IrfdcDC z5E>sW|N1%Xrj-%--iMpIQmVJn`* z8MIiNBy-Ba?h`R~T_b@l> zY>5faYX!7*Yp?Ro$dxNsZsu!H{iJ>($;AP+%e17uj48ku6Hp~1>z3f_WktUM(pKy0 z<)^I{n~{0j?sbGl@Za6{pm*>X0L;^Sh)ou> z1ez2G1fa{>!H_^xj_3QLp=Nn$=Hl~;X7NS_6)yUNbIZl#?9qKaK&gd=g}%N%hr{`n zp_sOOZ6=wceWBdKRB&LFVklj0)N4{xm+f{bbM2XOVoJ9-?EWEVc(fJC>@ecYE!LK! z-ie1&r2-x{IQCB9nZdKImWEmfTH_fFC%;i?LoBR}*YYa?k8)**_33~5(g*j19((v0Cm8W}3-j~AfbZmMSO3#rpPDZ_8N>gi&OG~< zE^XzZ2Zq9aSJNmL^?JCky(Jiw%?jJK%U6?(qzz5NU>OIf+!2@&MrgX=DJLeH%?87} z9FaY+t2l?B=AA||P9vL}B>MY7qk-bA;87~M-0Z6q@8Xq|laia3H|k^qo5_ANDUWUP z=39_jt=1*f$~^kKed2I9x+EH7{ox%Go(=!Tu7_Q`se>G(lrjkkhWdbk-&rJ)wl>s; z#pdd-q^`N5`)m{qCEie^7F7G32JRjC9TXYe*7A%-jZ;0FN)#l`cD z#H)-IR*L~gB$wrS1wnSfVc(DLeU zXa;zU3v$jtB{fryU*$bfM|h9nf6goj-k8m5D=uAt%>n#|a?={d-nqRp!54n`@&D!h zhmJnbpqNH$19)~m!G}jE%BnRR`D^2cl=OR#?0@Ltho`2d=jZ1Ip3kI{|MJ4bpMEdZ za17LQGuh>9RN}>cw|Z#*2*qd3zFa7m@>kkUg|KML0+Uxd5m-E`ceDAr{xl26VNToBW zRH{%cIz(~Q&1NSr)F~?Xz=P4zJ??PC6$~-Fy;jJE`y>7P2lgC}`n~09YPwQ1PIv*u z@DzAxPv2pq@^M3>SfQ3%vU_{va;jd=IC~Dsbww-1`z+T!ex&~6N1c05JX$MPGWona z5CD5sWNB_8A{RrI_nK@oO|MI>UQt-T{iN z)^gdIlVWgCtreOLopS_g*(I%BRiz>YyQEe$Dv9Z;%|-*c?SVmS=CXrUTItMR57jOd z3M5W@b#>KDXK_0s2tqfUXzIdDDfg0eNm1?f=X*_f?uvb#TWbR}uaOk1b<~Pvo1hFdMcIQ1Q@14?Xe36UUAoec$5`pL_mWlQT=aJ?;q*ydHZNzd}=aX*IAd>NF3d?lv7K=-mt|=gER+v zg2RUgToI zu9s4PWaHd9%^GRU1y{?WQZ%_tb7DC$UP;a19avYeKg8frB{glO*?MllV@VN10c#s0 zl1wIzQ+A4yPN&V)eVf8@oOuq-glCgI?~a@}abj_Cu^Uo`-P-&B{#C10lJ%loF5@*6 zw4!Pjr6@NTXU_xVbgz_KGO~`?JxZ-WGd#^ZF%b;(trdW?p8liYosPhOae${T0VlF& zzRc)lFmbdB)OoX+M8dhZ=skeMCqMZ~z#d))0)e0Y$@fdi@$di3KhUlyFS-{c-}hd; z;INkVkM!bRXnZc89~mA#HrONN;#5H|ke$3-~>ybSl zJ8|@9-r0Z1m*3+qx%GsUnN#YLZlM-m``2DS|Dgl=|N3Lzk3R8WZ!7}X)>QS?$;sfz z2yooz^9B6=mFelTFQ0PB(#H=CJo4Z{x|O3~c6N4bY^+i)eBsMaeev5fWsP$M`{&O5 zOH`lu+yDCyKKzp(BI&F>9?#{=mjQ&Em6s+lSs0Yf2sG}6Q3I^%a)FK>{aYn}K<#Z)^jS<|g*a2vKRVskAIYOhHD`aUlDi^;>S#-HxhkDvD z%eQf~sao}Vy`YJk&1`h+;NalLKK8LT%LE#oIPv(Ay}dvD=f7KCUh#$pRL1|@$M7j`*ECk3-eA4H11B^IFwm%^XE}$Tl*A~lTsDToYLN>`;IT8d zzm}e}+Q7FR*_oGBxr`AkuUsnR@}+VabR3XODqEWh_f84yFmilx*Xf<<+}=Lvk}V9= zxqVYM%g)&zL8;&W2~5Ev+mii!LgJ{&7iN~0^dKw%QPs4C z@$u@y!hqjD+Sm8kV~+vbu3eje7A_ZaKYaP}7ye}_WgDQhYI5qNEp_H|zy7h`{Ec7d z)*WIF1Ok9(k_COU9>977LIa66RJi2iI{Hzn6lkvz#8+IpXq=pi?z1%XRt*eGEx*jW zqxt#M7(1JhWz=8GE~rv5H*=Dr*hV#zjZdkqQ*Gu#-VWKUh@2_+l5|6K@P=S?U&HgK zKmFjzeIDQ;O(_EG__WwIlEr3Il`mHdFb>Usf2-f zf%m0C+)6P^Pk+`y$t-UtxwY5(Z^^E+-|ydoJ3^dJ=P&)zFKq};VB{bEi4O!^>`N~^ zXB8v9-hDNj>zOmtXHUNp?F+>AjPiieaM&FVNBjFCe*b~7v6;!qR5mM!qQG&WzpIHv zkmmu-p}Q7XeS=z%*2F$&z|JsV)F9k5x@V~ z;lt%>HRy17+-|Se+uz^6w7B@2pZ)XiPv~lc(yOVJ^WWL$DShcr{>zDXy=ya57xu@6 z3l}zYUlYMcq=w^$yVNAO&!{+}lpK5C$B3SlGyh~%0yPd$)s4EJyt7_fm5WIu^&2M| znPlV&usMG2pTy9JE|->G`?jfDw^dv&S9cbHHf39BYnKqk`x>5Ke);8YpdC=(fQRiU zR8Y>$yP~7^;7D=#BJT_Wr=jH?p%Km%(pA|v{IGG#ncuTe!+l zRzi_QQCtttcpozfu(zSwBI$2H4IgdE7LR@W*wJ!o?qC1$FTno1eGk~Zy?I5LOlnR> zK6GG60B+fAk}PMF$^8cp#`^l`W^;aGB9qO+XaF>Zcs`X*kB^Uo#6S4pgV3awR&^}= zie>{EdwYBFHGBcHe70CDrqkYL^PwY0{DA=0;`I3VXn#LzSP%MlpE>V_S4DEP!X8d8V_L<@&CG1%o@Uw^2y-WhjMK-Vnti1lYis z-PdP?a7XsSU}`oS22Lx|;;Db&oFN0_DHfk zG0s4Jb(}65F-OGbvmTzwt}`HT!>Fh>P+_|N@-P3g_qy|W!}ai$uYBdj7hV|b4W;I< z#Ah$_u8@&Y+%dwVfXZl`mozn`&Mu3o%&@`V@GVxh0M z_wbP;op(v6(`Z|p(Rw@{k>~&TOJA9poBPl^9^1cXPm`ixk;#fuNF>HaM$)O(Kl+=e z|K^2CzFhM}M@z}6#pnLph)*9I?mK_s{MguDpRs|xu{a!#g@pwWcajKwGXf2kjE7xA zph-6x@ND2NRau>8qHpn!JY35zuyzmcju_GPzFrIp%{lD8UPpMWRS(0On>~d;udYs} zr%#z$bqB=U%fIKPOHQ|&X-VD?FtBb&7G~MzuztzNNm6x0_Hj->>+m-;MJlXVnilZp zT4v7f?Xl9VCRYjz=NP-k)$>5*;@4=kU}?oCqgCjoP7k(`yGl_ojev+7#*2{`s;Z8S zjeYpTAKnbKKx)7E#Vd_F>la>l zp{J(@7u>9SVZJ>7{PU!Xwm|4Yp+NGbZwSxEZ)%n6c~}UI*=Vksnh`ukRcR@|Qc6y` zF(|2NR`kMV%1pkf*DF$fIdSp3rdHh<3*O8cX3B1n_}hYK;!0h%T{)dlw`*E7_#Z3eflUG};?Ey75sqnB*eEVL^^zDIu+j`BE6f*Nsb!~LR4Tbr{6f8K z)@;6yaM8@Uy{$a0OKNGa=V`ago=F5Rln$W!E-Dz_RVKv_1SZ%;kChP`y3*7&XJjuB z+KA$|*%If!)5?Z1q^m|L;{0p>NR?--Ho6m@LH;nZpn4=Xna}3~uC%L7cVaWCF9}#Z ze*F00;9wvSSRXq!H8u6w&we%@kK+oR8V9euF1y=qOROx*wW=$+*VB7Y^!LhC@Z!XZ zf>#fW1O{T5XqMI=0kS>em|z#VNNk0&pS?CyNhj@=Mx|VwSuOnc%kf#)h|sr}7wnoO ztCiJ2Ur$4~@FFKhBCozS_4j}C)O68QV$&-V>zxfPbW#6diwNf zJpSRshu1?dtO4{=GMOxw%bl6eJ9`G*g^Re|Zc_Twa=l~)-fw>y_ff0qre~C~duYyH z%Pz^qgpK8C)?s9JV})8~E_LPm7#d9~WTsv*wdxKCCUBP=dN$#CTl=<4B9QK+a~sO2 zjmOYXxGt^^o!ccI<1GZpk-nYt+*-%1~^BcvN~z^_p_p}Ud~8`gm2`n zV9&1D0njxgdG%{w=2^Oxi~99pB~_?NZE26kL-I(I))L=ICtoB<#D3|Qe(C3a?&mNQ zz>fh-Bw~xmsZ*yu|M}08gyEJABNeSyk!cijsno(%OH&sELli?>G^K9on>=+w8hn=I}{}`(RQc61j1KRg|B_}Tc^esQ+*G(50sr#aHMUtwqx6z*tRqA#L2|A zZ6_1kwr#6p+qP|Il1z4gfBnb1YM-Rus&pSbRsAkK_qs2FV;=t&N2}`O*rw=%7;)-} z#9V!k7wcIa!IVORhQ2-2nRBM$y4viI6(PwpWB{T3Y9_(P(YZlB(9GY|(eeIlzQ`6q zA}^cI9cl5Oz^&&j&}bA6On{9|bi%jxp2DBEi0e-9$_1@ZA$B2gip1VWIf*ur6ynv& ziAUfb0ne<6rzCOtA|KSYU*{Fa1?se%k`~-$bGdwsH8j(WH^+8CHc>K< z+woxa&)4dx*8Gfrp$0vtfIyCP$-q8y&tuN5&*|*<=WImnx{buL724n&YHty3MaGa3 z1K%YKE_B~jPkG8S!>k%Mqpk~g^^PR4p$3qlMv2c-9XzI)F?I8&Oh8p$rC;!BOe|Mc zMFr;U6O!U-NLCL?d@vwhPxT6XFDNf^bgNfkd#J;3$?Ey>0*j%Sp`ra;fAUpBs+#@L zYkfn7sp)CmP8V1LyhVKE=MC$+{uz8i!j|R*JpP9e+qJ(kpV<*Iq$bg8x0S%N}imohD-hx*VaGB_!*7-X zn^$m~UV)>-rozOe&`fj2ysZMORjUmHdlnZ7NHhb+e?OCaq|A&ig90G4bXlS$_;JOhud9QmVZOAXa%2>^pF?;0 zkLTy}=gtprdvYPAND;c4+5Ux41%4aKBp%NP@*b!tI9V?_MR$AqTfW_QdH&lL>(x2q zAvjPi_Z9RejU8$Msm~o-V@QKq)h4-B#hQ4OAW$jLC`Ga!*8T&ptY*xb*T2{ zzC(P7>;T7{nJg@hxyORHhGX3;`%Pg=J-Aj?PG%7KYMr0o^M)YW%R)3q8-Icr zWf*UUPQ-zA2Q7FP0CdpQhm5!PP>#2k1@wMS_PTWFSSwn6rOA|_tuJ$G@YT^(R>C(( zJ2mR*VDdMFYS~*P#vCldzHd}Cy%#R-JgTv*{hIG;IZj}rsKs3d8Wos%?yQp0)Sj#B zbw1ha=VZil&wo0~tDFPVW0qTme|c0CCX7KZjg?hY?h{YoyLtMNhFAn(lP z`MB1JD(V-_T9xYXa^A%S(y67xYz}KTm*&w<+Nhb%Y)0kv9;j#i07EN{`w(fX8B~JC zf@w7w3ZAU2Zbcdu*Q{MsJZox9n%+PvxtMQaF7FXD%h0vL9B9Hc7IDX4tiQQ}7vv!* zLhyE0-5&rQy4&~6kiZ-3Ks^uPrzMh}J&=4*Iunc_D^P&Z94nQn zVp-PmKAKh?@XN9J9ZPfjHE|Sw5Spyo`=wVhG0(OelJYUMGr^zzM!xMxk9Am5clD-V z20s*g3y!~c-MQ0b^%_XOL(rLqddGje;HKA!LZh*=GKtljpa<;rq7-EiuZW;Hs@w3*Y>Sx5QaMBOna{p}PQuR&YM z1KKLJDvwlep&;+>9UsA6+YkNC7*Z~m+%~xe0L8yoGoMslOauj_v1-CJ?e;l_J%WaT z`k8{#2!-gOC7U*X07~a#&L~=|M73?A2R~y;T4tw~PDf&fPrp$MW*XBn{A6E+d{O`5 zy^W!2zDyhe&%x`5y$3*~puV%S6Y6or-V8j;uo$pymkyc!BRC1yu~_a>DE^frwd$Q) zk;m~L9}puwKF_oVcBhJfq zn}%h&=$_~{CmI()B4PZ&MT?bJYRkt0`YdD5ld0O%ec`5+WveQ~y|ayBSb_R3(6DoN zsvBsgQ1H+i3j@x%YQ^D%<~41A%c6$BwRBig3_$^;_sGie1MVJnE0lh(V$!s!$jhoI zDOaj6Ql>2^W7B3dCoBfp5h5>g)aaFHu=rlTKMesj(w3D3CQiP>-tc=_)&%_IW|%OD zgw4a8JgFeu_tQ8Pz>FId6l7i7YKGK@a4`fvVP$yD7>U`~RHlV%TzY_=yD_Z!x3r7T z7E!Nmb$kRd`Ayf+fD0?CphdU+yM;|+JPVJEbpppoV+W$F!2ULsN<0WKQMQeh2x-Xh z2LP$qp*#x(8751C+Os+_ta2q5AW&xtp7nb;&Nq%LH!& zv=BZEp01Qm0ug1_)>fWY!@K!6SlFwdMEAa~?plL17>K$R>bV~Smy2_Xz%3&BtOVDk zoFtQ9;E|xuO?Ik|1AzWBltTG}j3dq|)l&XkE=BF#pg~TR!l%8ke&QqeA4P6kk#0Y$ zeg1s0jO%dD!^9`JO1C$yq5W)4+v(9fW&!)W zl?TO~M0>ssJH>~B?Z#IEy#a-*$$gZ)z&L_qOF5LY*s?sw#kczJWN+QB&3=@IWk5Il z55k(P6CX-IphcN-|5_5ZM^g3$$uFeviy=I+k=yM=J!pkCz(!@JZvF4(y-POYg4E(> zE+t!gR166))t#5tw(dj1+jd;YuNZqD@X-CxtBgGY!EKZ*hE?>xU4nCR9Qu`#jr8pU zfn0ErQ>{q0MPC?X8VqVhJ4W3TJfhWuv)<7NrNBHjBi|kUZrb!4QFTVP8^iTXJ`F!o zEU|d{LIcGZbqb{B!p7}1&G7qrv+XwY<0e&2e1Pb44_do!%1cJCSG`HIeCgP!H8poe zt_Nbd4Y20$aS>f@7ft3EiI#`kX&NS)u-bOvocBQ>CA2vm!5t3o0011wpF5y^%d|3) zc)#9sbJV()k)yz%psls^*>wCM?kaGV>|SSC%LpUqBK6cK{WIbw=-GcpkAT?oJhV;0;uPhvb90OG zfyR<;rGV;9h{D5GvF4e-Tq!*Ax=*4#Db3Bpa!QV410cAHovk~K| zOTEm@boAtc8CUPk%FF9DnsnK+%2A)OwoBeiGd9ftnBGbD=+<*8e|`14eO)2KxfEHy zDc(JM=lhW(jllr{E*+XqjH1T7vhC(Gw4MtBw14lZHGv@`%gAngFJM8{ddc()mNeBug!VNzIb)7VhM97UG59jNV&r zp8%AmEn6?A7-t7}n+Yl`KhjYf{@U z_U?JGVWBk|LkI3Rr{s%z?_X6khL#LuB3qEi-r88_#S9Oh)zjhF>)}K}%{-FyE}`B4 z%WJCC*AY@JkwxueGJ+&X~PdY=D_96lu*XlI)AA`f)Q11oDfv?;s|8C$x_%OVXT>%OsLxuLbGYPD+? zSX~_zbP`Cm{shxn44mD1EerJGP0Lf+$@--{^Aaq>Z|ya??vdHcR@S>A4rd(RQ$LNm zTVg$3~(q~Ur4q30JM~`~b>vbwu zQPs>dU(Sy{hWj40Ai}kd9}Q!kXAKPvd0*>!+Xp7~CCAubhd=)v+WS3b8Oiu73`L1| zr2#30a)GnYYtgsWjuGJ7xS^@|)rA~5{WPJWS%^89TeV|?{hKmPFQHne+o&weLW!v$ zSxszpbJZYowZ~W`A_M*G7H}uxO>!aQG*LCEcx*(H2-iZaPKUx*4E@d}i|41g-i&Aw zTk)cUc;5RV*qjIwWDS>!$*rk45m5Ls+lb`>C{*oz_U>RPP4cE(2K`u`opvu< zkG>kFHXo@&wI*ciol@5#PPV6ycHHy}S)nHU}PWG6p?V+~^<=cri<&quRuDhsf|7W<|YG!$u~Eqwa8#LoUqr z1n~$DSoGOoR?8I{S$mG1Lf`EugV5nPiM>)gn439i!W!vMJiH(?@G>a^<<0ETEdPf8 zaMf=MX+6y?Ou^ZI$^Kn)5bfWPt1EoCX=e%Yk-6Is9e0c6v@HiTtUJOgyD7EGhxsUT zJAN-=Z)T{j+PWHS*>T0!IUhnhti7x!z6w`>lIKTwu>Ab_lb5&C(5(E{_trb_`|}h& z1ngwW%!??#b$^B92L27&(dTe6R4qwWss+Nw4xkI7D}Ov8H?q8Ri808arwP;mjA+J)&qXTp6-5yHK+|@Vf+O4RnStZeun2v^|TeZyj z*oOXk9y%-Y5SRP&&%ccp>o6ojQmk=2&*x>}OS@cG_!D$iu|4Mn_jf-znHiw1VP$2t zc76Zd!Ct+nlP>!0dM4gW9in#kv8aoqeuqAW4f;Vo=9hYk6v@HkJ8wcn9~(28zgX8q zx+w8985vn0PW+e&t0!>!$2>68qzba#`xey;f`ppdwSJg1F?VSz5jgEn5jbtohUlYw z#-Lo#DL#fh;Z(C>W3{d{ZDfpB3BgH^9fOc#C0tBMmufAE$G~%j#H-RQU`~y!&HcA^3Iwl>lY}u;qj#v1R3gq^YqgSNMVk{1R->P7~7e(iF-}B@p^d!w>oM(mWK$ss6j1 zkqk9DBi+&*B^qUKYYBJYx9~T}PlNs#Lmo`E~6 zx0$9{!6*v%yFKA9HZCq`Z&Nd~((ZZr&m(4Q|0f{}A0l^ptf-uVhvHL1kn7r@QJq_W z^^m=Ljj6_t8U1{%@nZtnFSLju+kQ5TW=rYa3e`68_#H+#5aSpoJY{Hd>^3die>mWqlBVBPs2_cGWX-fvwh;XVlj4L18frO!`T6*SYPz!PaTF2HS><*bl$ zUE1Mc%2IW}0lV^KO+6A({%Sawv$%ykFe^b--v|r=MA&clwtr`09{K2~SH6d=vUdPO zI0FC%Z+dNe?pI-3Sc^Aa<<`dH3iV9CM4TEOMO1PLJ>GP^1+tbT>l`XHS;ShPY5?Pg z*J6&(0X5vcU1UFkb=Bz) zMbE&nZ9r-BbsvFFb#i(-UE4*rCTrvmsJ9KCb!Aj{x_Dh{Fupda$9FO+e^8-)p0@W( z3YOcR>h}Lbj?O`h+b7E#yrkK{=~`on9`|pcPvKLKqlx-B)fU5;AQf%fYW%z#TX1DpsqJndnl{#xwIB$M{i{xl3ZQ6$?Y3N-1%7vZ?*4FOD1*~%lDYJ zqg;zxb+x=x;p)%N)H5=o(~liJ4Q}HUR>Y{3Q%JNC$iOJK#Oynh+xJiw-{99is}7HQ zBjC&|)L};uS7f220GtmHOYRrIQLjC|CIvnP35bd`0=Vbo`8M&4~pPFwvyv2gj=`QA25U-ae&u+x>g0onm|!}M~!MAfj1Ze zWtBQp{Wy}Y6Pvv=GZ)(1u0X$tpm&1z6RRo&{p(pe)96~7Vih8Yu?DVZC!p<1;U*Wl z%Qx&^cLo>X=1*IUQ4BZhYrQy(8qk@EhOD?+?!Mo+&vcwEvM~HtyP*k(C-u`s=-Sph zU9$uK4}E2CaC@_+^=)Y>TdV8s6vDOd%-mc~hI-vHD=s#OCB)Ur^YtFGLr~UESIb~s zjI_y?5vCYn@#Z%X|DrKxmv6=CQu8_u)5<$EFSYdX_n=s=ZUQm_2a~Zg4Kdr&r)NN;&yh`1$2# zv;9M@wzA-ma_hNPhyM8l=v11P?K+FT0!}GQYg<4XGkRXSVoreLVH+I$^)^iu3pvIB zqD_kt-0iF!0gB@^7qU~%D0uc5<%MN4(bY@UPgs8)nljt!zB{BD+<{$SJ?3u+-sPzd zbE~4DF2pU{fcohND5;0>pxH>0n5lFo~bjKX#FD9?Ho^ zbIfOX025y%AejTfmUI1)(TI&wlre2{1rQw@n~Ak{6YE5d)-les>o1UX=ku`;0-du8 z1Kh_yy?nAS>i_!s(q2lmT08@iWv6M`T0Pkm84@I`VZ%5DmoI4XpSmCaoQi%dsQ=N> z%(+MW0sS*HbAdxMZL;J|RfuMem+id^$-|D5Ce*sXb@=9T`9c+cu*nU180KXUWg37B zXcMoSTz-;uJV%@66D}<=O2q8mn{DWdpr}h}SxVc%hYTa_BWO)pP z>#~QyoD%(BRJWKgoBKd&!gfQb@b3s2^zUQ)i>|-v1-VaZFq<SS|!ijh8ItbN@Iof zEQjm1g!5ZVv(NapdvOH~hW}oMFI<#4%KGqWOykphi1}FQQ{uy7NPlUGX6>$ zj=L)_8e1X0>Gxl|rBWrITev>K-s2_3T6CpUxyHjF+*}Op9`5bG>pBa)b-m@;uM0LF zcs44vt6OJ4A>WBT)g`B+r)AMCwCM}+v#o6!C}ferUYPYOmoI=k>DsA)iVB)Vf?aX( z`PEf->yVC}a%~PW~>?VNL0-xmnpK`2Uz52 z%&qP1Fjt!3k81D+Dpq1d*WY)4T!TZSCb9eVgS?5#G|w9&a!0A2 zev#DpZ+oRHr$I(ibK};tZnsZP8n3nU@wFNr2khlNz$*si${1310xVR}3CeA%kb2j8 z{?Dv+>&>>KzC6i>rkgY^8JM-PM%ja;&G!;6orR%A83NO5yxP{wz&Ic?ZG{S^iPN>D zpL_SE7xKqH@-urHzZSh2ufK7ufig8InTSBd`m@u>&E+Ga067%Ya3AwDkHFWjzWN$9 zILYd9icCz+e#9Znpuv*k$>9=sA)^kIS=nxwqtV?1(&;`2G1yzCeWGO{D0a~=fLjCt{aMj8rzxcq-=IK*iK;WBxLP6 z`5o4A`nUs-cebfyZf-UXEz9m8ID_5|DL%gZ9?U)pHk1+Vf!kv`-Ci77(}6^3+DhGw z9&%2q|6tneE;>t9@B<&;z6pGf4y7$Ii`6Ple1k@{8I7`(q#kRT4RDrl{dMb1?kEkE zlHg+RcC5@=3zjYWOO_F`v3!8X%{(E*ux<-L#~;n{#h_ARr%F=`Xbc&Cl+d#y1K8)Q zYc?`zb1S;>P{U-9CMH# z{)qWta|`Fb6n)u}+#h+;Ls3vPx;Q0XI92q+G zt?n=foVC7;aei+3Am@Vp7qNB5u0wl@qF1}vYBbtIb^stx zv(4tAqPEC~8Q&Kt*v=nI*9Z{u4;F3-z~x>-TDy5VL!0H4 zQnBn~%dfLs6!-`R|0xQI{4TL8%tAn2rz6Xr)wyg0&L|zieK$V>68G40Rk*!78{v1@ z)lDh0PT@oT7GpJ`7D+=zbzjBCD$xLzud7Z$(~FP~DZ=H7cxG2*p<6dOT#SQLXu&T& z=%DrieSbP!5*64xdqXr=oVa(XTID%|d7xvc0fI5P93`bn3o!n;JdQ@~&B2+K?Tx+! z@8vO%cZRg?fZSO;zyei}%7WPCo&X zw}6U=J3l@nB;P1~ce-Ux`g%LTH}^WYhHpRo4Oo zU`elCpLI{`&Xu7jZe?!q5AmR&|Sg|0v?>}HZ;aFDLG?B;J`=Ci@|2VD^t1JHFFz(emr z($$NfT2Aq$5qE=Y{9n$VX;1Iqb8}N!_LCp!w7Mfp2R01E>MA+d88vEYgj_Z%lLltB zU0{Umz!uI7T~115((cr+$@Z?D_W>L?Lyv~FyWZNr(^KT#Lb!J2>rbKX5Ns%a$T-vQ zR_DR>xwSQ+Bz7l~qgsDhvJCd6N8r0z8&GCx|K~|Kg~{F~j(|^9Bwdwq#39Eh^9~eZ z@D3DpElPU8>e!UKuIw9M*_Ei(<7V}+6Du;3_xm3k@eAB%?^n#!`Ae)uMOc~T8eMhK zEs5yEf*@R(5c+kUWdBnmRiHbC@h75d(V+o4Dr3f=&sGyo2l|2xL6#p*AnF2l!KCl+ zm7GKvhaMlzm#t=&KR|9H9A`jkp|agx1uR-LK>LI&9K001S+=PaI=AcPAz$1n#&?lwj{<-SRhYtS3)Ahc;Mt$W5V35yK5C z5cIMv&fdLf}{Ge+(+i|@9EZ@X&O zFkg$$*LNC7LQkH&y4&(TZlTU`q(H?Ug^pH&9Qgq7x^w|TedjKL7zgKf=!<>VZuZ=W z`CIpI`P=ESSrkL};;)h2$gG9fF1Rp|O7M+zP@y2@oDNPqu)OeNOUYK2rd!L8AO;!} z3?P)wkLGulmusq^U08oo@_rhVe=A)|D7trF;QI}&fz+xOZ?Q7xLJzIbb@9nQ#y(uI z597poDOy#et3(^mVX4mw@3rkk?EUtCiU~Eu(!k^Gxq?ATNlGG~XcuHulAEoK{X?V= zrC*oECe466v{Itv>ROqexpT)-G*9gnVL$H01wuN4ceGLrSUTp_yUYY))JK5ohyAF-22hJ3U@4LetL)Rgpwf*r z;*(?tuHn5iKgzBPZhP$eWw2m{2xZ2`{DSn$0fHW@9?`#fK3gZ8Z-5MgEb!q3ThBT8 zmvsgtS^DJuD7FciLfJ3I(#XlQ>j1w{_cqpGHJN+IetdAkwt1T>S_y(Jbp)iMWwlVq z&mf9JG7XTM9q1z`IGkHTelwOIku>zVb?S|QWxtXpomhTPGJsw2%-erzNmryKFE7Z> z=5}X{25X8&`nMocw<0$SiLY33Jn8Y~+~oSA#2(HuI|tZv74iDK-K{s7Pyg;wFCoP7 z9xa`o{)5?>LJ-OED=m5`YkJO1I;{T`1?fQEOJ8^9bWKD(g>#vTzIr}e}URaso4WwL^-G(@DKb{0%{v=;37z$?n|PE_h)|K5^d@}4?p}mFf`ZIbyn&pNP-h!jCL1tx zbd(JFO&G%+18?C**N828>=!2d7A714sg`F>Bzlt!jUcYS;>8@b8Cs>SpqRG0p#xr@ zr6rQ2D|IY6U03Xaqrk`R+t{fNtSWV?$!ky2>e9gtEki&9uQP~!`8osJc>z3Ev89%1 zRTi-i*TjK~=ToPTn@(Sw@5UM-En3%p^#ig7JBIf!0%LGDUKA8wgK8VV3Y>b!l)y7F zl6`WqOO(dkRTT_#WUTo@n>!!LdL43SGpM7Sj^nUbiwkJc1cpIZ{tOqIfT{!4OovIq zg1kSZ(B7`nTT>_9h!~-0BT;%UUv%BMNuTr#(iu1VbPL&99}hY0uM*y^t-)M$h+&e zcD30)-l2DwUsx} zBEiSxjI?Wu9xlK6O4O2g(GwCIRUms<4*Axf? z2w$nTw>AX|OtN$dM?;}|g?sWDN+BNN9loxgZ;sT8)J7sM8#0AWsSY1SGe$o6e(2J;X-*wF{IlrYvQLm56`I>G zzy%=C@uB8{HQ-v~=aE)p25cOUe{UeF8a0Mh3!Yxm7-6{PjE{E66Q|~C-oK~+SQ>Ip znTaJEUt7QhFR>&cZx8-l=@JoH#K$)Y?fTe_d2t}*O01>z* zV0%$s`<4CpYQ0G;159pnY@6oV>EI0(anrARpKE@yU7j;*dss`TbW0dWh1fHZpg2#x z4sq`@KDg(u_`O|$I%YjpGCV9k1!^<}N(+MjhMvTGTMUvL!LY2CGIR_quWL4Yp!rLY&??M4fAOXk_?wy&hhlXNetdI zx>s!jN#H|7{2eUZlnk2$s%a zjXsY4GsyjWUeN@&sSJGu z?F@$A#iv-iMej!oomOE?lWHM}ehBShOq@azt*)ev;O{`P2B=h^{#(x#N?FXLLzsUAl$;0DL(Z>FMLiJ&(5bYcarHy}FO; z$)uu%z`E`iuidgN4`o@7UnmHWl6-tjA`-~S$*DRrvThmU-Oxaq=x&JCQxJr$i*pjJ zd^hujfoOFe+0t|;z6GEG#@B;8H-QqR(NH>xzq?rM zm%V*mMqITru=m&EdI0k^#R}X6g|lwkl#t-P>ye`6hN-a z(|Q+YUGjq563BIS1Fwd5UIHFV5HoDBA)^hr-`B0l=*Jf81-9_YAiq@~CFzx>F4D%Ca51rUJSk-NgM7sj0h|lwGTrzRGK#rAsSr z7K4n~i94S&ev8Rm@bTIj^6pz0n?@U(*Dv3_-Bsf?R$=`qJ8>S6m=%Scl3T*iIol-o z2I$+!GR6bxi1nc45(p^YzIj%L$Lq0iNl8b!o7l*ell!0KvESF+1`Qb=xy*(Gfmi-} z9xqqxAj3%m-_oMka&9ASd^D23qJDZkm0w0G4|p?91jC~9w*vs^Gj<8L_)F6+ireeA z{yR7s?Q-p1T}wFm#6Jn~B!ul}78THRkzHuhD0xPB2+>4es|&u{A^9)=5FuT;@$ueV z15;=m(a+j^`P!`G{A0(CkddHX%*Be()jIvfjz}ReMMpnBKUde|JpyC!jr%m_xR1lj zVTyM4>4cF7zg{Y<0?aT$oD+-_424XA5{ccDoPRqE{4kg^lL17SDW){nm?7vuzo$D_ z{)bh8J$FK*7JO(M9ew?%C}PgPimOsJ&}P)}1S7I#8h@iCmp^c5{XnXs@<1vx((gMW zg)`6bA4Tt-x?EI%0nxX-5?Z+^<(PtQfp`y z2GU;vwc6NwEBbcPmA`uO0}Gf{h`v4c_Z?6)9?ZiGhu}9j zLNCSSOq^B7f6OVAM`nnCmT`rDFUK`4H(KNs^*tNQ zMfB2f7;bQ3V-hWs3oDVZFe#^mgf3g>A4b8rHzR0Caa80b_h{BCQnyad4t=RfO@>+t zraq+QR3FlAX6*O19-TNVGt-3lc3nnpXGrf~9+E07rS3zi_8iIz8}2M<_IakKWGu~R zJIL0Jbe@)0({1)}s{OX~r^LG+<+d^w8m{Kajd^>rwgF3GUyPD>RoD!dQ`D%tU#2}{ zekkZHJ5Y`qV$1a5?Gc#TGM%vx51t4@i?J+95Vj z8Ba=QZonvyDcx3z0Uv;GeN^%$vz*q zs;XU0qNb&y!v${It<0@cF6El_*06g^2*{eN1qUg0$tuSWgvpgYzyFFm6Z&GWXUsZ?oQf%d7q{ME5bWo>iWaVc(wVdV}b zcMW7ilLj`MN}owY!2B1@#_$z&?ANOO9Nfurl{%d&rFkr&`GyG#DHQtYU?3KrF1-fv z3VTSCdGF>mfo)9MT%eK^c0zncu?7Myv+5mk?DwU4hJc)$d-9qUsKp5etN7@>>yNRv zg3PcEAMb%FO}ob@$e8l>y+scTaVsx`z%x4TN(`W6x&oUekxMfPqpQ1nIj&5-`I26- zfFbKG(CQrP6+GXIOa!rf?k2FJQ0YU-`*d_8r=*Q71C6t0a`7W*I1yG?gpK5jwSfv_KJqQ-Zd_(<4;+eA6{8LRyacND$NKS44 z{Hu-gtYC5FY>A+zHJ~_b6VBu!5m)Y5zAt~Axw0S}&zG>`e4@g-X75i-c6hEkJqLHT`i0SdToMn)7zH57o^U2jA!jq_RC2KB=ZQUAlKBv_ zSGhA-L!%ibCfr7)I9#*r%xfV>F$0IFILrH95cJ!{ZfeXyhwj)g7QOc85Xvtn?weI( z{?5(`9XW;^nKtlu5cK*P<3$*HRr1U}4f?+kZCe8OP9!yuGSkvqz2(fo&eguy3PCXtt5Z1d#{nq z^k@gfbChoSC1EgLB%=yyS_)42SX0Yoxa1HnVKkf(to!jQ zP~rqSVsr&_s2jeKkPjc@53dej)&aDKlN8SvdCuFTd*n7?i@3kAqOl)f^U&arrE+R zp_KjW3909%*-#L;tLEQ6|G>h~H-AVoEpYjo2Y2Ea!d2rMIexZLZgA7lQFKe4!u{tU zVWBA|r*lBLAbYIXiSrlps}Dx#Let&jUtX7=PU9}`us{*Dk*(YW4N> zO0Q@x_QmB=EzS2FY5m)KdhATyvKhTwvz>1({Po>yl3L`8)RS~b?bi&pj7&krpWRTM zsmiegqJCi~g9&!FGYzPpx=Jn%4UQZC8qZ1flAo@S>}c2TsKKpV6qM-BjLK1dPE5(P z7FcRxR9xuBBhyy7Q2V(fD#r&nf7Z!D?RK?|?pnsNRzmfWE-MnX_4)V7^Nad^2B(>1 z+h*(Sa+N9I7@JA2*ou+@GWv8fjmdHnvbx(N$iSFH=|0qcw?}}vNZNgNo*Nd=1Ss3` z`FN=ztG0|0^m&_egR|f1n!f?lWC*k|2tAwtdgFy`syASZClQIAe!Si~H;2WY1fG%w znH_Bzc$D6N_FLx~ZNaTeBjnl^NpQ~;eU=m^)y1ic+ zSGg+AhL|selbdE`6<*&TPfxy$Tm^mqChG-=7M`PAE378L;_PlDTI%jqkNlM{Mx(~qju{M-JPUJR^$`w!#9kZeqR+ZX|M`xO zwOK&~e~kfd0Nc2hIc)=p84(xp0%k6SO)ltA5tf3N4Vi?98kz)%^ng8I0NQH>u*k)* zqhT!$!TZcTNGcgNJ21veG_FC6O@#^kPzfkKW3oaei14#V|3qh%R)Az4Occ*! z{HsV8o+QmNkCpLWa$NyEClw-0W6?)nJ)J@%;bq~HV`I|2K-{WuSGdDX-59m;FHe&X zIcmwaYuRF`W@&L&RWUP^@RyoPPNZdTCc|}l=Z0DbR?VbYmf=!)>8 zu|J7ziHjb+O+h_cQ*MZKdQ#Wz@N#xOEDA4_Fm^+{dHrY)wmlesCjWt=dpd#d_7PTttDN!(i%C%mZ$tnuR6HRTPa>5A=_E2|)Yx_aSEVERE0$$w zvj6#+eI^C(8~8@^lwHfIk4Y{q9T$=2Q0Vg8IXy1#%iW%(q%=0%c`6W^rgU7Wf@zWA z zGXasr5l5LgK5h~b+d!;59O`Wia_5C$mpNS)TxFDn1NiBp7v6^S(lv1{IbGRnyGZg* z1p^T*OP&>nm3&owHL=ta6;Sj+r+>c4Z-`y$ZPsDwMe4szA)39q#UCM{M;;*vFy~jL!VN$afhV~*JB^ChO-bC% zWRn$U@EHI3>Q7XHZ!bwz64dW~;M=+hb`}sGj1#$1<)Q@GMzR@0P^BI2i=z<*#m~=^ z|BW>j)ieAys{cnDTOe_PE!AfFPRM&Gntq5@7R3t|xgyUHdZMenJ%72N<5lom{g7yv zLIJrsfGFMRIky2$Gk{Jz=^C9q9-m8@79p&OMx|or$xHlc}NYe^2&C zR&Z=A#LUG1J@E50Nm$yrm^v{@*ciH)ikTYQo0u}mn%bGWSP-*wv$F^a!u|iRdTdc`y?=VUKI9n}YKRXXZ|!B~s@lAGI_lxh(_UBq zWQWYzi%_Esl=k}X?ql`JkeGCpF^S+1{`9q^s;`OYb?rd1XQE=zy+YJGB$QI<&hE>- z7x5x@g^uj>;-P^BKokQm_^CukvHs#|>sb-K!wD1};=F8ZOthsD?S6Z{AAaz}Es>g< zG=R>K(QM(7-=DQ02=hx0ZL;fMJ5aY1XWYxV1 zD-42|02AJ4r$qBYkkJT*w6cfDjwcyRMhVS6&O5LG55%`siNnvCyq*e))J?iuHpe1e zsbsSXfGjuCJiWMQWpwod%R^_YKQi}v@vxXru7{9XMd7k$I8~B-adE3=wPnRxqp)Tq zcYv4_yMSP2qjV)fNlT}d2xM?LIsZQ^G`D=KazPc?(7wyZIeZ?B&kA~m#ABZa8(sdg zl^p91irO(DIzL&YOH++dHRa9BpRXRjuUQ2?^+(CtCN86vz1tYED5(Lp=S6$Y0cZ?? z?3z}`pKY>zjwKIxCtsu+Fch=xf5rw}1sU-RvP#hAtpm6NV`#;|yE^WLU0jA9(*9oS zhvCwET{Po|GIJ$EC@p+;FYpo7cK#l|jPy=ch2nElquf1DqiCB%B$K1{X!>-QN;~{k z?jbJleIH^RAsiEz_t8mhe->w&maW|@lTEuT&DG^Sw&v9R`_cHBJ&IKoTXZHCts(yJ zLrni({=Gu&nxy@S`Jc-?VieLL-0y7Sf3Yzo)e7^sZ6$(IX@ZQ;mYqw2qnB?MHzh=S zWW8eSC~`4dPhT~1Y+qAseN+|`U-mY5d4EqE3z(e_?PXj77QcaaUo9-}_D}CLEIS=X zMRTXWygYmser4E9pC~M-TYV+`esF$gZBcgac5;+Z^3xr@7$KgX=ajev)Bujr2ipzOd@+6wU-YY)d?Gfp2bmAtb{CN{Yv+$F!Z~u+KZkds7s&{T(OQua0)>l4-%{Ka!7{wR)L> zs6BipKITC3vLh+kk*z9g81;2@Jme)zv|PTJ@DU7;2Ed`LEm zR7dgKT5QN|=U|6xV&*w85`lsLH1_Xb=5|YT;9pUV7(+So)-b6IClfx;I$&K4n%n=i z!t)>weaqjVJcoJ_y;Ai=vJQ#HR&3~ykZI)fvt=rCyTCH5z-pC6FX@f zPC6_M9XbQ(>Es_bT@5coKqsO~N%JA>f9D+lVT#dk3_dopSQn#Z(pEd%X`F{_(_rB` zeHHHJ?6K?IrQc~}c^ma|?I6%FW~}o})mkWLRH1g6APnTCY;8vjns}R_y#MqCT}|X{ zsH$3FuG`bl6taXLKw2zTBrSxk^WKTH__!|Cg+dC2ccVIzR~ZU;F{1OWI>lzm^%*+R zwJTpvAW+GL*BX<2Ud}`|W+R&(GInt@>4w^G@Jjow1iP?<9gxdn}Om?#`-N~sqG zOuiV--Jlu+DW_GCZfAy^@^I{m4J)nRB>Fiu$gt~=B9hY;6Fni*I=#m1G&6DL5zFAL zY<)#oG8lkMp(6L5t73WFuK2X?>{P+Bb(#o`vLyYD$|LAGA5_Pw#>57n5NgDY z(V8pW@7=(9lrTK9em`x`z>Y{kZ)(nVjV0tqQay2neNM{}zhbYaf$e&c#y~;4Y}iyB zybi`Dd@_mT8OmdO;cNWYu99kxCrh%`$4FVhlkx1fBJ-S4rve*|a)c-PFm#m@MI?X< zL2>$$LQN^BSSv{JxYXUWUWQgiA?9futB>Yy>6}fD)B=uuUNOPkB3z~gh(A`Z4RtGRk z%d@5Y8e<#1qTbD4fBAHv++l5;xC>zSZ~4tgl5v+HlO*y!?0eh`OGc3Qm}=tKWep*| zO*_RV%)&N?yvDAPL9iitMp|2DH5O|9*3t|t?W_k#8lN0JCqa-Z@9LW`jopQ`7?^88 zmN^7&2Qlg7R4`WnYZrF%wZIyE%^cJ{6j)BxRcV95)H7cfdR2o2g4XkSiHV0g&Kb*yCMgc0bqhJ@oL;ZX^7x^@c}ITx>1<%Hl{cuIV|zn@ZIklenAx%WZbJ z+1IRNE_p88*};yE9b_W4cDA=?j%Z4Q`oO@G(+A3u;)&x^CsXSj?c1Ic&S{!jf2LdG z1kV;7oX*R4V33xA4P*=%^BL;ZuC5D;i&##W_3fq2Q#)@c()VW6+(BLM;JHU}ggSWW z5grBF1DTh0DFCmdZU2F!S(BZE^i1k1d1K z-+UW<4#Q;+MM)8hlze(iaIj2ac;;aIp}#8tspfR{h@1bC&LRSC4Vr#vo^8oVp%CPn ziWC0=cTjv3M-Q*@j1rjF5pbUBl_*Q240gaE1(vDLBC#mTWwn(f47+{;*L@HIkAx)< zkEJd$$beyRHwp+RT?gD+*=CpF(DIekU$RXm5v50{`aKUaJT_a)^g`J9-NEHP^3AC! ze4DELS3by~nIe^zM`q=jSzL5M>E1?|w$EmLT-8=$gMiu9XR`~63IP(mQJmgRN^o^) zbuqI&NEtIWH7#)vI+gSb?^9XK`Te}pdy?{5f+Uu|p6a}VB}5_IIc4nu>vwhPKrL3` z1a~nft7mhMJ$y&!6WMLM$%C)v0u*gX8xUxE(9pL~G{xv+6*-;a4we7Ja4NpTqizei z*H%PQG9`U!jWt|FBt(ft_VfH}Caa(poL0$w1?XWh41mKRal4RzdNw8d3Y6cD91SEd zFapIV6C2m@JzY(<8D7~Lpo|=)tKw2riqPZ~&TvaZKGbd8G)~kB={)V&7*8mJ^ED~n z^(Nj%W5apo?c1_!xHO!ktkF$KzaaM7Ul0#AAgZX`vpb^0LvXH4#r(pg3mrQ_?QRot z%kh=()0#dFkSy5k8tJ=%vGtbk9Qkw=e_4;d8V8yv-=`w-T3_x*}nq6da6E}bJo zN|u+-e#LNnMKG^!Wu7bslO?XimYSBrsyztBI`0oOYi26!P93y9!Yy&zo&oRnmTjN4 zk;NS^Wn_@Q0hH0pG;~hx$Ma;XPEC~MeA-=GV6vn?-K$_g@G&C1M$dugAlnYkk$Lyv z4eP5sfR`PdHP^dzns#~pC6ClDiBnJR;%hSsT~c;B*A78f$gq7|srg!DmC$GLbd##K z84AKR2yo;T@do&s^`Sn+==iQZIRpdB=^0Z$P)zSgT)g{ahlP33=8^ zbsS9lQ@LVBs?-)Y=k-Crm9sYzS3W(5tOeH`wV}7>K37{!*!#rEBG;^4#}GUjWpKp? zMV}H$``H|~1?O87B^e`s)bha8ynti>Bjhjdqo^3i+Bh8bFkAvS? zV7C?rbyh=)SBM|GG1!Jnx9sAYRr;k(KGKPq``T4VAxE?CHebO>^+juAnrOc$JL}xO7{@HSJ1ht zAVjI8bT9=+0BEZEGL;G(IjqucJ=vrgi)Fp5FROS#=nrbMnl$Le06iO3HHR z(sMZ6DghtE01*@02nWFk6}wIhTGwkfDuH5lZ%Cz*GlYiF=ygUg8aIlLe{^=K?3m-Jx)L+_3ksuMtzFdIR?NQvjTPIU24k#o!r4R+uoXXCWdz{RH zLbcDnG(fVPQ{^R7F@XMVR~2x{q&JwZFDmE-jwxCFZBSYD%32@YI*8kPd5m--oMFK# zO^pZKB?`psu;cMy62i(D>;3lEpgGk4@>U;1 zMH~z55Abj4zX!1ElJ^?>_+)%X85Y@k1wGf?kG$PP7F1nbZ7t)O^l8S!Ua7=wIRN)4 z?{hKRWdOilR874T2dZ_WL)pmY)Dhqk)N;gN>#!z*wi3mq_w>Q+(l^+30e^`mr{S-v zvDzwrk<^bi7aJJl{!N2#T;hebU=GVH`09-$XEXnHLC5jj5_fNg)~%6kH^m?YC{GMi zElU$C>wKDu+021?DVAP#tr5#hKACI4q|P1-l4I%PLbf=jFU)kLRLsE9o8YLZ<>Rg( zgPkCax?y~sH>0M6Y3r3W4^6j=({?FG?z9z4oMh#eq|};Anw;@Dk~o1SG?X}@C~Rbl zUrjbxJyi(R__7G?z$gA#*5#orWjj&dq*pf5w9of(`yEn#bP?Qphh1th1j)t8Z2EL4 z)l?9ncC_{h(gQ)&Vt^~AW~67!a|30q=iV3y%h>ZrWWaK1Dk3LbPgb?-HGAa@G*C@$MvS;ZDNvUi1r*0f_PBWNqU&zyaUydU7o_@ z9Gv^J&r^YO`U{PjG)>GOM;u{sE#hr&`Wk>YBak3A_Wi6BUE6^4$eF92P3PAhBrP&DyX#v<<6G(T zyWf+$>2Qs6*pjK<(O2JYyZ((UN4H?-1zk4dh5lzK&zGT$@AuWS6V}I9T^XM5w%k`M zS(>aKpRCuqBxD&{9$VJY#np*j-Do?UQ8yDQhLPYm8InKXcDwcp9qUf)lL?d!;?P2Cy47UUf_ z!0(&JoX;)B4^EY8rQpRjSRW%F*!NyU*4va+Afm(|w)$l61foRViRk5Hd;_jbPkLd5 zI3^#5kCe@0ocYMtDJa(cxW~z{;ADdzj~8bamun4A1Gx1y46=a{NvwtRGG@)0H)aof7aC8-=ZQRK@DESz??gQR9Q&se#}r2>We4m{sxRf#+%lO`2i zm^+r$ED_wG2YNO1yq%065KCB#1*Uq?*FJg_n!^R_5f((TJBT~7+j<$(;rUoAc3-we zJ=sM_5~+8uYa-nsx8Z%U?6y z&OA_qsLT4iJ>>u~u85oUe;g2gQ7^%f<;)mr5ZE<9CKnQdgB}S+a&vqGu0LGTVkV=S z!gDwV_HTY#`CuGJ>@%fJvl7Ea_1X2p^E!)y=`_2 z5Rci3Z9bUR13-%7Ax!${R%HERRv#Td1w7#DI2{6$ifpHoIoTW=uUb7VlR`<0k&rv8 zvc49N_N{dYnLEx1=~r+So|;kg-Xu%qEA|%NpxBJ<;YgH?I1krh14)RTz>Gatod~rc zr=kT++Dhch`b%dCm}I9WR`cbMneFW@oLuEcgj$F^^&#npfdpD-;88cdNw zC;Ve=$Gn)Z*%OeI+pgUXMW4nMZhc*si&yoOE?qqZk_e32im6kE zS?=a;)M(AP3*ESOu+kU@Jc$n*$rtV6-MbF@omcj&l{H6k(E&-_F>VL6yCY(d)^KdW zu@-qRzK2$QG&fX?q?Bzza>9R=SY=^fh#ftg@1<7II+N?d?#NvfTL~RS#e}nZ$m~zw zJvDW=A!1J4{%1Kb`iaEPBQ?nKuOyf(xQUDKzstAJ`nqgY|t0jmJOc5fAo!}p)^9DRgwLFMW^2K zs*2%`D4q9HF`vAfN25;lmVu^>G;yI0@jf6eDIfCNnVyiqU(QAjBAXSbBxKYgQ_B1; zuErOus(#ZjyuGgUTszG-kxd9A=n1e>t&B45@l!ke8e5xCqs!j1j1Pu<5)^TW*OBMPcEIDNeiwSDT1^ z<{Xu8emq*0;^V-vQN*rD^&a_H21Xse8P3a2&x#H^Unh@cnjWv%fsxwxXvf`iw6LGl zG%uwXY{uiKxMZ1i1oj&TY{X_;EsLyv;>{(Wt5V_ZS-9@kiU%LgN7f)9EY$nlDWo7| zVj(U_ve@9PdEK(Tz)pS8ylPGM+;(o^vm1+N2$xZcmIX0xneR5_0^w~3gICqEuS71JtlEkh>(t(eQ}FvU#GDdnt&t3dHRMBlYmZE(EOpU54E zgi&OPoBWP0yEAw~yWrEgRl#=~K)2l!l*n0haH8infGr#jWi}$6MbPlnglBWnzhVt& z)qraX?t85F={AJW9)6-e7$W|_9@ZA;O={0Nex z5bi6j

TO@NKf+%(8ZBvzOwXz4BdqT8-A&RepACq*s^2VU?c34(1DF2Br4?2m#w> zy7#wQbR5i}XDf4v#Z3xU8Jfvq$xwke_hP}3v8a8=WvFy!zaJ7&HBI3amf8Kui$x$Z4e#DhrRD=4~>wOoJu8QHAj-h6m6{;&RL}&ZXnEfs!ljy4a)-O$o}b zI$d)!{sU-E>l}w-@GPBE2*Hedd|6qVQu-!Mng_)}PFkljXNRF41FOW$A$e&JL#)Y@ zYAN;ywo5VN!N=7kEBcZ)$5_?G=vJ#t>SQv#m4R|LbYp45&{Cow-)O()Y+Rv=U?o*8 znn$#%$P!yqLvkXw4e{`-q!{Q^*9Ps6PRQ|Bq#$IQ2*9Q=a&h&_lT)NzgkW{Of+81q ziWFKGmlO*IslK;ji_@{*ARU#8yy75}m+&&$HTp92I-e&ciIUx+a@|!IOUmTT`QfyX z44k?j*}5z-o@iGUJn^Ue{&a|u>Llb-2in8MJmbqe18b?tGC+&s*%oZHc{0I@p9WCS zlkS;6LpMNJ$xUg$hfB9Akr98gR%q@O^5;9MX<9Z1h{kC~)VxdGSevPH8vtkdsyIr1xa??oNlrAB%p4lHP&dM1BnPf5BRwYL) z-*Z;g;Rq|Njo1NhsxOHd%Q#^}@?)4B>h3WiT1W2kP&g}pU=46Dejs5aQW$tG(nr)= zCrfpEJS!)z+ba*7svQ?j)u)BNv4m-Ag`CrDW-#nr^H@QUNc&lQpp0^%WvnWfT?$$- zM1Z?_&Ph=qUd48(cMsXHMd&%ep9MnlZaTUFp{ zW)O5^RgWkPzng96_sR5h#0#c2g}ad!z)hkaz$u>$Zwct>)GT4XwK<1x+7Qx-yJ#V} z+az50A|_*d-QJNY)!qjAfKS>_nDrS$zGDp<$#jmvqt}H+v{T(?n*30+bYin$R2)VV zThnj;pk(=h021{l_dcA)zKUN)g;)!BR-SRi&P}!wGNroQBg3OKW6AtfNr)a5NZVu{D8}$`f#$lhO zZ<;C8f_UwrpUh6PlunUxCRh9c1!HXcHRxbo>Gd+o10rMVU+NAb^FzS=0g$J=A~*g z!R7Kvb$Y17NUy(on8t24*r@z?n@HL5lM7BaRg~lmuOQJWPk`ji7lcwp(}Q! z$Sf6sK(-v2Zv~iQJ=v5O%J|Zs%e=C_T;Ecq@c5AF`xUO`)AyO{-q)(KJf8xk`aNDw zqG^lL(Gx_hKIj4(GLuM!UQFA)%Zp$f(o=NG#;Cm#(VU?qaBd@ETLl=Tl*bRshP}FDRWmX?8VT;9`GDN-f zRPvhN839`#Oh8YZzT5MZUCeLmmg)TM-tZdZa0EalaGA09dFX|W0IeVp4C;_V{Nn_@ zZJp4}pn-LhE_K}9b_60L8TrTKphYhqY%Bu^*yykIDe?;VUH;-PKJxtyo=}z7QoXp= z0Vj?l;c?Y5@;yV@N5nNMsiz5ie{TIUG2X}iw+_Kd|8H~%1{Q|@)*;lV5{+1(cb-t* zzz!Q|K2$_r0s}JwclhtfQ6AiD_2kf=wvEH2+Kjx?rtE4KFkKXl2WxWQ^-BHdfnI00 z4N7rpPiSjtT>vejI;=^{m;1jhnzZ=W;$2CBHx;)s+SAG#%zS?Eo9?sBE+06`{kmPB zJM)-7Ywd)WVNy=>p%O85E(NrQO`^!9ua~>t2x!hB;&omk@=0z_Ed3iQIG|BQb$R2) z1dOT@T?pv1P3z#DE5u;79n{0gsG^1LYXz}l;Yn-TwXjDmhQP;>G5oE7B%jkBT+^cp z;n@!t!fsWuLK*~yzH*0q1-LP?8^35`B^O{y?Sl^8OAw~ug-u=K<1Sw!y@ZM?9#RAK(2Sx+4A3e#o49Fpt& z>8v;FH9qngfwt}V*}*MuX7kYCW=+k~nJ$70JD2>epyKrRb|;<$xQzf}sHfD{I~$73 z-5*w`%#{$)0?i)~Fci443ZyXs-1Rkd5s*fgi9*mBwC0RBR$XS5qTc7DKYp&2hvmWT?EfGz;$ZeN@%SWE%1j^Cfk>4;%RD&=@V1Pq_G5jk`3Wl{>{%F)maa zEAPlvvt`rGfYn#SM@%@U&g}`*@9lFvolx8PTJ(Bmqh&C|T(oSn9)6!Lv#4FCMUwTf zJqDl^$!h-Y#=|5U8FD^H`98Z)-8bt!@O_+WFLS}&?+A3XfIQ2TJ*Bq`CB1%Sg`9p} z(#{B(VORRp?qYQrg`(1@^>TTS^~%k3S=&s%CfOT?*RgH8m7Qow4TCwOcaquN^LU4H ze#_kc%9S71ru?L5k2?UwHr=sPyO(p1u`P=cH$bZ-JJ9aU=Z;qw=emS2BrAxJ-;%4n zdI3XFpgS4-J$pphTK_%Lnf^+i(Es{O^!J>KXufj@@?-g@&6mX&xq^7{ispkrEUta7 z^H%MAFS5J?Zmt{>VO>t$hsIT!w*EHj%=mM0Ch-cD^Tx-nvbc0zW&D-niaP!kZT>1# z$?1>9KyQdR-C(+2c(D`Sy1Wo;4{1>T?vp{8mc$I@@Ml>gCx#s&4E5J9f&}%P&yScp zEY75b@YLUp(&)0w32#p1U1(8JtCPWV!u>8Jy#DkR-CVsg(beY=0nSpPPjCbk6#kDA zp+p6OC_(>lCy$V>fHhV*_tq~;4O8d8(ZHLbY2UVJ=M^#LGakGlWwXu&|w z_;11m6EppPs@6J*GFCzS@S%4LV?~=iEf1>$1y6e9$YVOm>>c8_}E0+Fa3J za(Hg4ekA9ncFJnS+Zqkz(u(QXMv9kXI1`DSs@Yi&w7YAssW6ktC7?FqQ8=C=G?Hh? zTE$iWTxSp6Xr}cE(mAqaoWvrvKL~CEIn3|I-v#79zve?r?!}J@Xw74hGauKr;(%j# z3qSa*t9pWvqazP0I6V(QKpMtquP@{S@Vm8~uAgft#T9=U4PURF zMMkHqt=UZ@YD_gbY4s_7`ZoQ6F3FOFXI1LO@_}&=j{>Zk?Vrdn{TnjO3~c{JCh7kr zQ<@CV=k}LO9?5*OjEv{`%sDYiqKc~1c;8*;UA)l$pt;&{Fl}6?X6w8iIbLEmk?mn$ z>114HVN*(EU+h@bg^#SH^&)+vsS~-9LES3!p{pe()#Iz{y4!i$Vx@CNdq47Usu&IX z=8P{aMB;vXOBEjP);N8uExQuU!%Qg6t>>^ltYvd!$W)n0$PI0RQ%b0K(TIkP+Riy{ zYwej&ai;U8o6_$5wK!Q?SW6?x7{Z&B_W3#?+}SF3no#?*aRhHLru3neKER`{?zWdE zz$%Z<87U+WjI{*a3eFrB1EEofVSX`=%c)5~3tEE!774hH2wy2h3X+IlTg$JV6G7GO z-wsHA3aJFIrXMLFZzIA!#{s@#v^`Mjnk!vx0%1ra-QK0mA?fX2D=<%(kxwFchV;A% z${xr#5{yOi4u{Brg5*g0|6G@lgLS3KW7k1f5X=HBLuRRJ{b#9WBXp@$LvJ4TRpa72Ywl~ zv=+!|s%)X5w+5DoW}U5@P(%yOFXP8QS6(Y#zCQ{tc`G@=d3KYBH}{`E3aXy!(|s48 z?JB0eoTvqeFgp8Q-mk=jr{AsKutYm=pNkPIlSqSY1~>GXW$86px6*V=8w1S7nm#B^ zO1hm%j|*>Xok_SN`z9GuXoA{1EX>a;GNp@ZkE#LRj1836X&%K{ey_p=*WML=luR9A zSXa2f66qY1I27{8L4@;|xeVYAkq{0Kn9VN6a5y*cY5tJI0f+Fc5Rv*uhn^JSR}2oR zAw|JW)B@Qd5In^4rXuWEN|0F2q)_YW?YpSKKZ!Wt-xTrC`c(Y$h3WYuqdt=64FIwE zBqoXNOwPn8;5_2wQGZ267D{quIR>JTOGG7w@?1s-*;uW?P!95Km+9Pdp404dG6s~8 zT_w_KRYzIrk;u3C^e1D%o^=ZyT$< z7p3H{Z$OB-o9=%i&+@Ox|6iZp|5)Iy$%VGtJD`E{=1PFyg{8=zOq>!SrYS4fk9SwM zT+i|X2M(rZIdM7d>#15>GK9WPK1vJ3usJq3G2a_3#IMfR*2$6!t~0~Py)zZKh3)RO zVQHVjgtT~Tad~=da&sy+V<$IUICFe0UEk|AiZq&>{cdg;;^L<^8aks9vRYo}BbF!- z2y-wa6|Dp6LN$RPdvcW2s=vcEU+&_wQb^% zYZ5;uMl6~5JcL`n&E}wEZ{TL!Zo0iXb9a)6rJndj@L>`utRch$iOm7zO1;)m@rReC zP4G4RarZLkb-Ps78@7^dWK@2 z&JTjWtSZh;1CGb4Rg%v+^^FiMY07lMXN6E~`ki~Q|dr;;8Snrjf4 zJE+WT$tI1B)M4(tmfwYmLNP5+Lc#{>Pis+F; z_P$X(vQ025M~Ru_gH@@(w{}c&0&>KvEY#8~g}>(g`ZAr;0}wRdr)6$A*w(rxCcCe@ zG^~BQ3M#ItXLa^CxnS7V)EyerYT*jin{}9ye)~DqjOi!gTs@fiv=~0QQoH%>_5NX3 zb>R~^IKuPl=vljccqs{QHow6bpnF@0OxHeL@yWbtxtD#=rCiRUm`l zL~_@&{$xoU+{6Wj%LImls7&q;B2{2%QeuH8j7ILR z&gvcrCKMQk?xJuH&jh4AHeQ>*bT7TERN%$jjE>k$?i?42DsY%47kHQZxm z89)R>1Nm0F01_JPDQW62D?w9UCirH)ycB;9@Bz*9cbxn?s>>};*XI(u%a`W|{Cx#j z&@IEY@ph1g3fkApmDw4_ZqJXm)4TT(7saEV7q;lGhq5^QY9w&-7sH@O18lMjyzlhD z>FG9O>hI=fAiEqH9XmeIOZMn1+Q0tfrY(HF|1|5^{>`joVrKrYXp^`V8T3EV#wSwS zRU5iJJIS>|97UG7iJn-&F7M`P-TIt>BEloIiP#U8$R(rP3pEtg=#|vLMr-F#d+#_Y z8SYX%db*)dobQaVtFg{JUPPi29!8^psV+R^qMI;E_+{?a2ES|V#I69tjUQ~CH6QudYP0=*J23w!G@5q)7;6jmIOr80meZe?pTRs190J_qGcO-FH=oAw zfC3x=5G=U5tvsBo9wX2;>XZEu`mditc`A{v|0iG(lyj5}-Cut~p~uVwM@7pYMji=I z^i)49ke*PPS4V}5Z?I*g+KGRn!~U=6FtGd=odgA|zjVg-zL7ny(M60_obdyjsK9SH zEx#Ju(zA8)N2xD``o5XTeAMv+_ICItcD}z0w^KA>hW|9?ln?baK(HYM{^zsqMO=jPJvq1 z8PRhHM7`E-zht19G4Zx6#UuZuk2~f;b0-|n){KLO)B~QFIg7$uY?FO6SeyY-ND^BF zOH3iQc|<#)S?JRq8LWJpNMV`=nZq!k2snjWSkNT8h1f1VD*hfUG=-r$iDB(=aclec z^~Mq-!{0B?JjT^@##uQtcMn@mhF!-u*tSvn^gjXkcZYbGnf?nvl8jy8|NIU8j^x>7 z4vh=Z$wEhrYGJ6rqj;U)g%_1lMC;ri@Y7p&J1ij1Gz<1)O1wwoAx># zmly6r06wguXgUE<1i=tNoN%<6Upg@VZ#G4UmXBsUnvcRLfCx(oFd#6?kI4X%Nidor zhp%ej24e_TJ{(YF4gsk!g%rM%v5#AHiSA1YI*=FU?g~l2n(^j0txIE zp+ROZ2Pl6n&Qy>Jo(b_OWe*GaZ9&RT%nk+uHUlgZK>?jgSOrK$|JYWUrQbck1pjR?>B+?a|_@4$zii+cC;h4zrWi zX0!P~_4WlsM0bz(4-`mx|B!ornY@L<=-qQ>Hf0RNp(*Iwnnktks zk{V_%L0kkgAYu?}5tGtZ=lThWp~8F#Fv2kkl>veRLH{q0F=BXmdE62Zz;G1>{x)u4 zWQFoLz!pmwIG{*O;6j;|rmC0amE4`CxZMNj+$JRMn~T@kY%ZriPIqrUe|rA>$%7KI zW(6L)FKmAo&KRxdTzA9DNGeOb$QdQK#Aw-`9wUb?v`;70E_YL3hGf;5Gut_CIL(poS}MttH%I5%J!D;&FrRnAQPL`>Z21az=?g$m-dicF<= zn%@+`Ba>QD4&6zDkdi_{(t6c0S~#0KX&GI7a4iiVnpol(Go};X&(BCVHcvJ0C~sz( z;k{~Cn(>`$?ZY;eSls8RRalsmSo9MEDq6TzRn9m;G(+3u{_A`8hf#L^a)l9PxY=aB zYaT2f?idb4upk~i(w|jeL7o~JY(xl8NYR`t8FnHcS{$}QV_KHc2BLYmqs*Eds6WpY5S_}bOm zR$u35S%;DdvICzu7q6ZxxolzX~hp zN7hVi993HtFploib_x|PcB46=U_1YsF|Y(VB^0FOeTh5**omtCelYFV?pX*qFz-e#&a`@g#P zBH{z39`&d_1f|%RPHS&C$tR~!?&L*`+V%phr?As&1~*4qaqRl}fZH^x)UZ$ZQ=L0Q zx%*kJ6XJkO5Gh8PjTw&`Kj%cbg_2^Cf(V9hN<4&+7;RO$B^#r5?-azZVJ+m-APh*D zFFiWy48y?E616Bi68K*kW(Ji>6HW8Lf-BsqH)?GL)H49!cy{;B{8g;W z%~E>3Eu@hZ0y8DIgyqoautS{d9T~%>MUIzk%#yzI&P@pPG0x6Cmlrq=ud!Sr)beQC zs<@LAP&#UY(sje-v9 zI9%@`3a>H7`vQN?-62q!LI$`fSwH_=3PL(w-*?c_l-rOKg6GN2v2|Rqz#NZ9c^%1FVQ~0uxTSfr0_e2`B}F51h$HKA+snMN zq%y=iIs07A8eI;3+V1YIHm1rh%%fZ_{TwtFBUCR8T!>5AKnYkJaOS~{hdx7DyoWUZ z011uQprA?e)*Zu~xY){}jNF97D%MrB)eS|m*%Qa*roiU+e_v4T51!{x;jzWxVS-Jt z@pRdkZc%0FQ@F!&2k)7CL1xm6j0JSQkhzbvaAAT94;`J3ZlTGDrLk+a)L2&11_KSf~h<*~PTv9x#)}$k_r(=i31tynrW5osx_^?E0H5ODV5781lL}y0;#_Uh&u>~ z1AYMr^D7iv+bR$ERJE+GE`C~UjiFk#Y}U18@eH|r^quAX+FTs_`NKAsWO6&5?KIbM z=QZmk#_#S94;avI^%2=J;4o>SL`D}K2jLReJ@H{*6i+t906YfC?!jl<9FKJwFy;wq z=jG{aGeqVy4vQDZzCa!bFAU@8*T)77>d8Cz2P^ZCW0c2!^GQUI8a|vSEcW;9!=LAM zU3knsod#lMgtACw61le=PM1@x2Z#xYgaZW1kLL;{GwHvNAk;gj(!<0?#Hmve6`Kq? z5o{?Vau2MM%g_DvgUr3a4xxUzHL`T*A#wp_`MRy-x)f9j-jt z@*uI`_`@cFPz0_@DR^?(E-#X(jZzTb_p!Rk|8e-vp5pCc98M@(5igfZokoQM=@BfM zLhm+-oWi-y#!KNXiS8HYC@DQBGf8oKMoOpK!f5~aNMiS1qkVN&wONoDHbOQbgi^Ub zj$UGyC(X-2@IDmgp6edq9+56CO-PE=JB)0I$&iySGfi@e@D$+(4;3CVOgI?lo^(%^ ziZ~UHBK)f%Q(dT<1Tdmzn3XVnT~-)TL6{jqiWpuZIC35wB4F!L*wB#gCl4%PmQLH7 zZ_anqH!V0Q_+XHZ=hOomX$Jl~iJKaiST(Y0L?;n>BIl>*lkU#X&)>7(3`h?fo##HA z?8d@R_ECG^X+Py`g{9p6UMlD%h!3yPcO2#pzx?g6()s3oDJ+nP9{MyOE48{kzBGT^-A^>hg#Oal^UG3-HOZ&}1G{-<67RYpHA&@e$!w|+a2?zMn3mY^Y{=LPG88B1^5X3 zdt$uO3{8JhgSh?T9$FlrlEcG9pp~(Uy!qrcjk?*EPOhx~nl`AdNA3y(w|{SQlXkLCVwj|@6A?WXo;w&ZN1-+NMy(i)O_3_c^z^1b zd>y0R5Osd!k8BLHa$HSaQ4z0lTlMOkj+9*34%}!3n!3TV<`qXe#$`#OS50JOSP5oi zNLx;p-qg+0<>&FfFTSqKslDAq+Zeixc#!A0o}!#;t#<>Sd1O_~=jAE(E89f7d@i^L z*5UaA&E2@;kluRDE!xNI=vg+fo9Nm@4A`Uk_CZ-+nJce^ZYAGMY+K23@+bt2@_ z%Qk0Nqi37Ij4BBo(R2T;m*(Nr#2lB0x%Eb^^&&khJ2ab}lbF3ctxhcER>)YIzHQTx z%(1c5CK5uMtVa8EX)TPSEfThm8yzr4FS?%b3$9{r=}*fm(rMRPgV}>3X4)SR{}W>L zzR-sHfDxlmg9O++3D4w5a#=BG8;s-^%iUAiJ$MGA5%*{N%3#SF&thV!2o ztaAYO<=d%cqMud`i?kB&nC32IeHiKezh+ zc#zgaQCadzO6-&RZ2tb$0%3K%Oya+Fi`BP-*PL&G%$e^D3MY*W?rOdmfeHs2{)4{dDZ@q+*J(C4f)f3fz<;}Qv> z@JU{FaM}c>*r^>kG<-hH?=<8fArmb6HE&nV?1+FJpo91Pl}B=<3zr5L%mZD6^-wed zOh|9waZ95rcKk|WBf0BmcA)fvSSE1ADc+w0U$_)u;DSLescU;9FJfj0A)e7UDQrR1 zpv{wbC!6HE9T#>oP)5+$4s{e&Rp=ftEP}Fh28%Elk@p+^$IE-r=WtRPQmxZM0hp%K zF__3pBIg*2rDankxCAXGR<=7)V7BM^jY-LDdj)_s-!2EUvQ^|bh0C-)D_KD0iCv!! z{giiEhVw@dL~{h0oBMnbQA+2~YR6o3OUf(8pAsvmANzgcNqoC;PR*_zWb7Yre&_ z4{>nYL=P+ZL97S*;uZa?L{_E$2jNA({e%5X5zHmJ{4^l}d!KD18fE)l?xPy0^GJ~G zmGU}=yEs745W{9mD~ZOJB7I-^xlBS!Z=VRMoI=5O za^&ijGI9~<9sB)KRGFiAVdJ38=IqtP?WXama1RF>(Yd<1$d>yA!pK)>NO&}xwqh}# z$(T4TUsxR`!e$qWp!A9!ZH-kHrVHIi3A%rWFK8x|$*8E*-#ez#F;CrF+$Jxl)uxFX zxwblr0!by~#oE|byE>HfcbjRTfVXIyduW1A{&e~kH>rK*s|)?*-9`1~sxuM25dqZB zj!vw7ZwKhx)siJG(QrMxe;?ts*jR8i@iH{dn4!Y#BPN~EmCTcCUrd5YqWC0sew^pH zh(-Hg(Ya$+6UA;W*+8|G^bgVNZm3nqb1rDR9-R5w&^>U^@umZcCl)gywH8f1ro)GO z$ub02sE7_?EB=@IjLB){^s=>T2Y(kCow+#M!`HOhvaY)*UHE$caB1V*yJFZI(HiL) zj!)2AOA1`JDdl{n!@y@x=Ofrew*2G|#87mb$-`%|4^biGPt8S-k*Z0-JJj_twTs(v zwnGY-3u?#|lpX-h5E$UCdM9*Ed-zu_M!0n!^sdoSD}y;l{~p_)8j;-A7nqtOyg$l> zoyHggDhk?YTUMxxcMVa_5e4%96zEK}!Lp-HrgEZnhJV8-{YcolJ(F7x_UtZ#L%?s$7i}ET>U_kn>vW~ zaLqgc`^-Cubh8*3GR%@{Y|E2bkO~hHH zKtKM{KweHzUkxB|tLvE4V4h!2HW0&j+95FeF2D&KqPV%Yo~8&|!@CAUiuOZtaNFZ&F6$5TFuLFFgF!T( zXgllhV?hK1H|B9!q1`Ve-B0rHXjDB0|=6)Nqy%RPm8i7>Mp`@ zNmWaZM0cOHPYHTsMhpivcEV{g{m~&zG?rc*rkrPb9*=NNht;Wgx5u-5vT(Xcm zR5Jc&|AtcCN1~;{BmNgiR^hTOg++y>LMe~q#d`ch23kg+=~N!0v>Lnda$<5Fi9)ic zU|4FRgXlkYFUZaZJucpgyLJuXtKNxUFMl7ar_Szsi@b6IVM+X&72R5cX~0@$!hrF` z-^E}3qUlo*#nEL*R(RuagS!H0p+UkyQC|yfCYeNW@_N|W-g2Qi25Lvxs3gsPV@M0x zIRq8Z6eiB!6&KV30pmU1Fw)` z>>i)k@#uuh>Z+`)m%qd*9Av?^j3A}~QY8b=7?Q<&noDXFN!WI%z4LgyM>EAu{7d-q z(X0$h-WK_$xTBChhzt0jwGHuj`P+Hn( zBEiJ9Rqzfk^?LinCQ(&xiy>48rE?81#MzQ&+CDLY1xnSFU6$VNYl0;Ad7&Cr58B5? zx9sdnm6U!CDv)+&oyH!xd25pZO|pjAm8?KnWH9t{(XdI~!Cl*(t&C#Xii%ZXlA-zE za8`l@>Zl+;EdsgP3fQZBUSgM}yaF2UP{c4x8djf94h4_O>oZM~OK3X{W|9IlcZFa( zFAPr9mPvoc{BkU>Cu0t!AVo7v<#XjuJiwP6Flj;z1}EVSGwL?M0Zs#47Z_wKnlgTm zvoAvn{G)fMjp&3&QNxIa*1k7UF^^U!0h;RYeV5~R z0nizLr&|Il6!r*&n)!-G&(w|4L+HfxVGL+Vlj2fsP<gmiROC!sUmFq^W+P z%b1dbr+h50YJ832Y5|(!pvswsWtBQ?xh2DNk8W}@M zez#B9!LMjLI#G{kY+?98suxMYik9~94SCqOk1CXS^j!qBn>AcFSWDbLJU}ywt5+xy z%scum>RjADR5ZskuMQPc=Wm-ofYbHO^Z$+N`2QtcGyD%}?*FnVbhWZf(_8lecl=`% zfACvC3jf=?|3mlt-_j_IO#d^|@1z2uiFneSLoY=_F`vwa#7Ku&ML=T-DJ*H1LX4MD zN|kR3Kp;lMPf$u_4Gu(RotrCfDO?`<4+){^T#1Sx+#k@IEcx6@t9IsD>b>tGL-(fR zWoxH{aV%wWlJz8${pW}M$HsPY6nwz$)8Ixpg79w>qa|QsodqHRQ?SEzCy31$IwM!W z9o6(i$en@kCmSKtrmCWqB@?`_wHiFH8k!XW6+QIK>nPp#D@4zbYv%3DVcnhUK$z$- zBHb7r^hmG)Nh-RC0k45O*1*uuEhDQscG+X3G6_jVyh6#^`UdB;N{#qZss2Iy(Zc0b zi7ay@PQVZj%gKMZ87@;!)gq>u&{W8;1x^DRg|z z5(TrmTct>sbCh#@6&IaMQPRa?x@+5Qg&YYPVdJ>z+xnnskw`XHNn!`B8Wx$00x8Kv zmy+DLP?fy30bz46 zJC(L+MkkFLPQmhMLDCpPIdIig&(TwjAa0YflMo<@C6lqASFrSOv91C=<|InP09LKp zDrzbe3uZ>d)WER;6rIZ?&_jP`op37daSVuVL>-?cL^Bdpf3m@zDlkgekS>KKGD-}w zZbhAtR8&=;{9OwH{#Czm$Qt?|x_)EbkDx=+J(FAK&#Bs(5G&keG6obYdU-S}Rt{6g zp;PWXp;ttDA)q-@9Kz*L%t6|*vO|>n=0SOV!m+qT*c^t>+gnk>RRj%@PAqos!}>To zLP-%8OioPHJ_tmwe`=6{On2EFn!F3pN~g$!hVUbWP!_*nY_Q9j27RhKCDxhHd@Jx|t+udvg*-RTwBVqVV&-^Rfly#~tJEs?@1 zTktD@HPmdAE*==+o)@+C6AzuyM9*3aTaieZc{o@TU?X4Ki$OG@W{w+3JOg%j%_uGB z(s-`yu7mou&oI2K@PhFv!MY@Q+>^FhrmO#ErIQB&AS z7-?8olb=-`_xB}O9?k7XxYxe!pNA_Zhu)77TTTx~T5R5vxwD-ty@bujWRLGYl&_SK zB_LJG?v)z19!+IwmG^KgYzQ05ntRTsU7NX7x^rc-#y1qElyA7@+&^On17%0e1F~5< z)y3BG&CM;q5O6z*oDi&94z+bwT)cdDc)IDo2{blk6yHgZJLXO65ix>@Mh{V$psB7k zX+PefEdZl5aTA~SZr+99!Fv?EU||h$-)|{36H9teduWd3csbYMZ6%;_=m3iSc{#~r1b9Xb85m4v9lL>wBYr1t z2(jFLaBa(BX4ziEb{^!6-Gdm-@n+n}Ara5)XbxhL#Bn1(l9HU6bt+2B^-|()>*NYW z+DH<$*?zdhb`wfUYbgS&Obzu3Q8#0}DZw5rRwR46 zMyYT zkXMs6Yff29ZR9GC=SwnqFrb~$rup5a>8Y<>zI5w?=6tU_$)H6XJM2YPxq7j^eC=s@ zJlwA}k;+=LOY~fyx;uL=)GZcRI^(Czj5%wbI5TKct7J{#<&-5_)Uss8q3B8Gms>mO zu-PBqyHLPAn=pw5&8S^Xig7b!ohW9njWKiU`yiwYfKN~KhSei&dxj#)LW5v#QQ8Wa zfu4+AABLO~melSdVFOY7AX6DeXi(xfevMO08P1vknN7$)LS_MYf+K_)5=$}q3G@}_ zz*4;3+aQd-7#toS70dXz^PUkv@TV=G%K%M7ai=;%6if zJnAzx+k*{B!s>PV&>ZqpC|cOU)QZ8^M&v$72&e{4;qID98Y~JF`U=K`yBYBfl8Emz z`Ewvs`y)NB^=*W?y*MKZMJ*3fLl!Eapa*)7^ju~N8ZIEG8&T}nG0R}7%OS*|OpFA{ zM_@?hSScq4T+oY);*YSaOLZwCaHBd3Zi!l6*@9ei8T24Pw-GcB@?htS&uGXZlX_1c z|IGqGM(6PZTNru30~v-2Jo!FXm$i(aVo)G$zFq7+z`vH~Sn|seM z%)8hNSht(}2_d$;ZCU(5z?8|4m^0q z&VEMunI>|=zo5M;5v<+bUKajcRf9VTLSLVKaNW+Ipp!gUNi)M^D+bDMDC~B%67@KM z=}-dYjQ!7i92XOK`Z0W$RguqXCg+m~`jUA4I&#Fu@D`K@Y+|5Ds+5g7WMWb`jvV7S zX!Bnx^qY<_B%SDAk}kF!%Ay}L$Y#i99DV?hZ-89BV?4d^1&3B94n@t_2Xhgi`V=fX z>U1+|L7Ul=QTdc%rf|uJHZNhS)c#r&+W@+?*h$Y=ga&-0J%=`)>KNAZ19fRVw~qwv zGyCljUP*4%<)GsCSF6xFgXmVol$&N-ojIqM`Yb|6v-YRTjs03PM5Ded7$ULkt!gTh z!nvgp*yXGw{1U$gf5W(WsQ~jYa$6>$5MJc-W9lDzrx?fSr?5zM3O9NST{XB;vEKJ; z?iobi8|k(gUW<{8?7o*7p-(yRLL6$F*(7=dC%q42?8mj=${7tBaatLgnz*kkn-y&* z?fGCGLy7lLL~Q_K2Qwz4^+58tp}doU)%Vfh%3~Pr_Is-lWl7j7O1TQd2ow)#*k7N- z6LG_~pIGND5oDyP?#^RC+@FQS%8l4r`z8?HH5k7w0&Pg+#lFn-Pz;h|q08!7?!P@= zdLHLSDx9rADi@6LG;~8QVURDo{;KK$#kQuC_crn2jH?NDC9FE*@tGTr?39Yf+yNV> zM;h7)LzbC>g-Tzw#}Ho4-Yatomu2Dk?-XhL7(BacgBuaAu3lV9nN6%-UcV!pETDNm z&iKtnwi@he@7tC8@z}z`oalT$t?--?tpYNwZjQ>BE1*HFeC3QFmwArZpWcZQ7Wj=7 z`z#e_p_A>PC=9*tp!J|aqb46(`ww^GiMtr?lHkhGz6cM(ub0 zD3@r|69|*WS<6bOl1&24-c3K{Pg#Q(^opDyDGoTJdb^_=Q9>YbPW4k9}mDlb2$smjF~l6+$?hM zY`JDZAZ~)>(dO(0$GNkh9SXr#)xlh;-{h(Mi`LHztg#Vq5Yb=-i5WvS(aHqhsDH_y zvt974L^}^ma_PxsI1@Y%c?j#oJt7cEK7CteUK@+oygOEZ$_k`G1!s0a30U#Py_4q( zMDi&>Morwez#oN~m1ef5^L#TXrZrvm`{y2XAyT5tvPcZJw_V@Hc_}+%++EsJVwJz6 z-R4{n&+XQ-E8H+ymwJDAY}%FjcAooGaT+>Hc!i<-B6uAIy9NatXauinJGvkvCQbus z!`ujn4Sm6Ab>6i}v-L-*^J*3n$r+kSZhd2L+>J*~ud%26ae57?e^|TS{&>WDZRjoU zu=4dS0x;Ed>6k8w>autITu3AxUB!pJB))sQyQesd8Qs0^$jpFpPa4UAp);wQQJVbV z3zpAT%`7byT@R_01!o#P#u9suv!0xmmzK7N@AaCBh2?sZay2eTg^md$<{g))jK=i8 zKs<*3aQ6Mb=L{JBha&z9A7kNbW$7w2A8HQdyaIrL$bAw1h_r#S{I?JMhsyuI$B=CQ z1GieKK&T>#qFn2pUdw@F3>)hWJHicS*aFAkm5$<%+fw8j^1~ak0Rx2i0m$_s*0w1k zEmO7*d&osfB!Y_w|6_mvU{^#!fWhELWL{fI@ZYNHyL_{H@!VQ?TB>k=>iPMqkq|<| zL?nnat<3SUb+li%>>w_0eJnI>%CpL&(|+}3H3CV7XN$|F`&&8WA4UHjQ1+Txb~g+7 zc;#B}+(mjC>V1lB%m)88Y&lvuE#$bh8n0X6k6&t zeSnitFMotsAhAqjTAz7|jcwvuTxeW|xWCT~Nh&&WhKruvfQ<7DY4lh=h-9U%?@z$N zE|S-%^149@DBsx1%ui2DtX3zFjGKj2Ar__-SlW+tW=7$ZP9T#NpPkOKq>b=5C$@OD zxD*ljwMv<|EPp|fKK$_zElK^imu=3x3=K{78<3`K=`~td4kAL0%iEQK?#CnF}(OtW+93^lKC)bf(X;U2D^7hVr&=! zx>9V2$oY2!+K-E5{iXA#lyz~hG5dgaHFvHD|K`&bXL*>+?2C;m_HgfUJZ` z7f{Xk_bJy1%2GU8CFsrPN*@ZUL`9>wdD|BZ6UQ_Y1W9(%)zhsRxq*G?7d(`W`CJQX z#VF@x8~KvliO=}*#`TEZa?bs2|DKn2kY#29d!Q={^{KvMnvqyeF9CR9TV@EaTnk9W zsM^-~Mm$o+Jd=;#I+g8R%Fx!gUypZR++!-mNzkN=JUqaopAkf`9j(8p>Bw0zR^&hM z_Zi-vw?aF2xjSVm<23J&zOkq(Yxbp`Z3Ss@;OyiFf9N{m&R@q|EG>9VGEj8*&TRCX zq0nxjkcv8o0<*LAanXg);MK(3t@m`2buBsUJpU z#uA1LA?*5Q;@#H3ReQN*X8<8b3Z|;`?iW$hYI||*ZK!Zx#}_k03i zy}RR5UngkKN#cdNov)U!&UC+bHq~i8LxJ9zQSPA;D-AU2 znIc(+*d;#pUG#;5Y|1^x-lZc14pQ0s4$!5=V|=|U>|#wzu|?y1l?PC(KV)0~HoKh0 z6+>p=NBO;Y@^LXQIeg3qQ7yK?Qks=jmn5(MlfzxY_xX4=sol?{hG%q8^0m2NG1^cQ zE2ezO;$FbBX~&G(9#NHWdrmspuM`MBm;FuP5L;YlOqPP5!G5Ca{EZ}E!eR(nbYJ1hsu)r-O7 zKa|-8^6OOr!HD5UUGK{VM2UnC^ZbT-ZUCLt>L}^~??Z7fqAV}62=HHDXf5G`R<9!(44$477wUFriNEZ{3EPN|CM6@&J$FoOIz2gRNH= zrlq^BLeWYvb1e1^%(|5d$>x7%$GC?Y9jOweAAlkUQsqe90xxjNXT+{;fe-{GpDe@H zqL;RGXtZgQh$e!CybL~)#B}|s$T(VJZL``*i1X&x*gu-?zM8pbU)>nZl|Rq;QmJO1 zsL)uJ?$_>hNkaF3vjSfT+jjiz0FOvxX=fv~YmwlY+A?5Z_3HLHiFIqyh27r>1%&Vt zZTWCr(|L75Rb|wpT?SFf+RaDiKj5y5g{Y3SuHR*d67dMp6eGssua45U{E_New$D}sT7NI`&A2rlZHzGAI_CY zZAXj9!X0v1MDA61Dc986GbT8clQf8Zmbc#u%@^)24K%gMbp|I25AG#vZjn1G-Z~Mf z)D0(E1I?7FW4Pw}BvjaWN`D^SCQ{;mjVzBYB;$l*PSqP>>e(w>Mm~iUe#i9Ok6~zm zU>vQ*LwbRI0Cn5I4g)A!f&sQu&Z_Kx;B?`+bLnH~=Iaq~xakUQ4B?LDN;Ax@7lK&#b~^Ny zX}CiftAX=Z3-UKE-j&S`La(mR8^4#jB-4Hjy`Q0+=I=s}?4q$JVGx8wiubMBsjk7L zF^%>@hR@O^Ut`}uyLZ@%QO`2GVjT~7-V;I!7bF$J@3B-`f?>Y%vr37YZ~j*4En&vE zk|?S+ip-JK_$r=}U*a?G=jm03q-r!kvm4lI?9llKp85d*e`20gs{BBO$P)C&&#%rj z8*gTlfaVo{T6TXx0`@JBL*MxjRpsTSqmg&OVw z46-o*k;h4d!Cxn?c=!7i#6=~ z8{-y{?i(nVrJ{bl2_eWtBZWv$IE#s{D9mCDU`dwi)Ljj_BzTR!TM;lqosSc68Mc#zp}i;lhS|(d50sJBha5+1 z`(uGmhZ3>Yy+{kkI=Fm#Z{Xg7OFPe;wMx@8*eH+FOI zQTX>u6$%OBMeK~WCT6GY;omc;I1c)_(^>63dt)y&WO6PFg94deBEYvPbOgzOwPq6k z{NKy4rw8g{nO5b+0ElnJSOyo<8EhUq$^fFTYeC5le82CbJ=U)vR|M)a?0z__{9x_Z zd=;uoKV49l;GeAEwVxLK-(**|bU;Ev2T+ z4y;lQAH9VF=!pr;^ZZXE9?8!v%}tr5kGeI+QQwp=4fCVhzL*;RNIPSPo`A*UVPiQZ zQeek$5J&^3m4Gk6v85@gHm;`dI*C>8T9?mxZty6vymaXx!l#6X;e+ZM=`^w0jWeZ`L z{t$h9ft>!{rCOs%d>66BOFmxm88}Mytv^y!CZczG zsdSRJOLN!=I(T*60WEa{O;7MUlM<(He+JinuQ7G~5*vBQOfnPnkeYL9XdohVamq*5ugw`Ru$q-d19hIHF{V{wp@02T*%u)V z8x2G|1Dw?^8?Wl(0n2y!zVqNycL6CT){tCbK;mZZU=7DOF}p~c(?rdNHA4hfDAH9RJG zju4#2g0i$%n)W2$rZ`32&08I=ioCWMPV9~GZ>r?#x6{F;BeB%(;O`6=b$V_nUcU06 zbeKl_!bN$WTZgm3AQnSyx0gbLBJlKbL6^{kTn{5DN2N*k1j*?aZ27PmWO=E8v3+L; zz~B@vO@Ha~1-Z_$FzZKO@u~0q{`~#^{{DGx4=L#kiDx8KRAdwsGb%PtoBmLhp zgAD&+!T#R>OENlHXqg;`n!C6e1~5=EUEn{){-75B4Osq%@cF+5mds2n|068wr1mRL zt}N%E8Iw>Dz=P2jFd{UqD+AO~;E@qTQ0d$HRKugJ#npy|=K}%)Xd?Wp+zuOs$b{nNvcefL6G002Br96pMX92#x?@5n1>mOaid} z20)a{ObUxppUY} zD@KeSgzgWsCD8;|(I?rHafQzwr0S3O2fsatrB6d2lPXJvhk_s(iW~^HCrJju+n)oD z2N;G&kP4135JpFk8A_y#AQu=ON}?aCN)W9oO$2WdCZykGT6&t3uQSAE{CZ2ob{4fFxd1dDsVS39tfL^|PIe__Q~Yq6;MgT3yN|C% zN*=eF*!bLZm9g}qzT@+(u~1X}v-?f+weZn$5i<|Bpi|;w(>n_w15}M3$*O7?%U%1^ zn+Ajknv4$1ys59Mw`#=HM>bo!?OJb_Xcu+|Ro29$`EDI+K5Hd19;uhixMthWXJLm2 z>q!Be;wl$+D_6p64BaXUmrr;xDh1~_d-Zo}j)OYJu)k>rSx%22UXzPqF;AjBu~x5MzQ56X$oOjHfU zCU+{d%Fl921jcd+O~;f+?LzB94)fo~UiV{Uz%plAn`BMe?;J^-7Eav@AKTBl9CD~E z-;Uacl+r-}(wO)+-(e z!o(uFSq7`aJTw6@v6JNd@GGr!?J-CjA^>JIg?TVM@9y3x-oSOV5Qy#2 z-B~s^$O1C69Jrg#;#*Jwp6E4n>2^?-5lmidN7LX%<1)=qKT}X>EkCpoan!e&^;TCF zI2G*nEi*Hx2Uf+)y!zaZ%a7+5yn`$0*fB#~+Migjol>^Y{37F!=WHIOX=T>8Tz)pg z`9h4mE)mBPK`O4c!NSd$&=^(hPCGGq(|;m#7u9S|N@KJY(O$o8=~R}V#pxaH-S3Lj z9-VAf3-sTw#raO6fA4WKf=_~v0sik17dFy}9@L6K$}$X~~MM;w#V=vSSvbXw4OJ?yQIO;Jv~ zZK~fF61b+IM!0G){dp1$ri}xSv`#!p+1`c8Rowy|vdV9<(ocohlFDde-U@c-y-Ok7 z?>${eNt-mVxEN@JM2|Zm2eQg-7ceb@?=nLTZi#3*$W8DA2@Qf6^%L~4?R}P~Lk{j& zy*(yP&n+W_k2++d6M%{=;QN-X3{$W%3}>oUOqfT^SZE(*W0K%S)s$+yhCS6#Uw5_Z z+uZWIMEgJpyqs>VeA6u@xp8jK8_1*hQ=X<`r0I(nr>^Edl=GuJNfbmSsw zgqOTgT;Z<Wio5;r*(De{xCNnNyZokaCF1~PJKJ+G1!m2_M9+vqok8z(mh|ybqv^eB zZA6zf$p@*JQZUUp@F?tJCz@voZy zs1_M?fjbzJ@5zs?uMkp{|52d;ZQH^OnqdvI-x;+2z?d!SctrNad(~*3ER`>ZLP)^p zeQyg}^ch!L$0h!v={ye9(p;ztW;eto9gY%>F8%dDtjE_$4grfy&j!YQTX;Kf201ai zO24NoPw0IV1-+DY>XE~P&>t>Ma+=*oXKh^I=Y`k5ZdyV0$qb{9MjLnqCp73^>agiB zxN|bo`nHj%dmj%|6-e=1GzREYNp({I7K^d+IUh($Knke#1%({^UcReWupc+sER<9n zOx9@!m)qM< zxzjs=5wYj8ZNp!Gil~TlnabI%l#E> zwm8-C?oy9cJN9NKGq@h+04l0=_s}gD9_cBc23*9zUF2NFv*GTsKyf= zM}$ep6nIRTbK?uePpjtk<}@FEWWX}#zTPHqk9KJwW5h$Z8VXr0#}mVusWvA}RE7erY(@WfnmWrxRO^g$${Z zf3RAEbn~ze6+#_)IcU*+p2d(?56gNJer#18)&}&hr_MtbFuIJ}q6l!t*uzoS%Te+$ zs_Ed6Av7S=O_qq(jM&P`s%f>VQO>|J(f7`Ex{x`H{Xt<`CTGm&v~s*VK_An=4q>o| z!GbLVIki1ZiU48!*1Y#s2skgJ+-s?;e)z)>T*#5R&ZpyfMH|M`;?kj!)9mmQLvC?# zDLvxs{Sr^sJMGJ3lA`9~U9jpL!{d+!*&a3HHre4#oe&(vssjLQ66p%3J6cTSvkC26 zIRacTg1TshE(nEwv8x@s;y}~-h)iIx0oZJ@2jq=_ZwdYP=v&t>dTd{%FjR8T-CvdM zA{#X$#Qi7qhOdJ6a!rFsWU1_TG3aNJpLAiCJ}uZT84J zbOjawu-slZrWXUa&23=2vp-jf*W#@>a4bOmPY|klAJ%rD+=#(>j(RX*&`#%JjAb2S zC;iNaH)$mb`t;g&IhmL}t4_DXd zel`*^llJ`hGfOPmGh(1&+5;Z9H_O?b3nCM|g%A^pWtt2E1f6ko#zLs^lt?8Htn28| zK>xrYd=8Qf8{av06vcr_9<;7Dpcfg{N2HxZ(AbYWqate=>>%gnMKrul8a@ph{#Iv^ zG%LUUBP>6K@8ld@C%=vM<70v((SOVcpPV&3jPcinuJ;|I0}<(S1wX8OrZdIA1_TWi z_?qkmKlTHA1VA|TJ0v8CtAMqqpX^!*jb;s~z5^Se05vS&&HpytMJY? zUzoN||Bo1G)rg=?f6Gp+s6c#48hh=j>b7|8(zE)e z_&)63E!|4bgnzjO3E2|oueM>GbcOu@m*VdFS%$|1{gg&Tj{3wPiCmCUz56UQH6{0j zW9Un{{z}wNd$M_`sC<_sSdB9{?;tRMxyj&2^esZoraEXp1)uf;!P^GbA1`JYwfD}aOdrE zMEb@apX9vG_b}-Osp)c-;$EochWqhbw}J|kSUKPB>*{My6sTOL#UBnTcrthS#K~uk z=I@Q7{RHJN=$<}38n5+9n!HJ>^n4c!8yozs)JCZ~Bv=swnb8ZW378|DfAw@yHl}&G zoiAvf5H9ci+VtzK%su-3#m}bhA@yoiQ>&tMoo&{W5?hT9hM8cUz9-_Ov}$COCgPo~ z*0Xw;Nl7yTrgyN$tlZA6%p;AT(b|WahHZ-kw|;di=B4nuv7YvT%9TUZEq82nZi({K zT%Ngc>qvzwCA=uquX$g}2eO9d^vDRvE%TgB97J`Lmz6&l6n5?WZtyAPC9}OUvqBS64o&wO`$H4(E$7S8~REo4sPB5SUlI^?zvrV+{#q zb!GSI_e`O&myd{ao%$>l>`T(Aw1U(rSto)bvr%~TcpNmoEPcvG19#VD1!y2zyf_5U ztByn_hOA4Lwc%ry+RWU>^ZTMXlUYszl!CBt$1!?i4ele-8^rflX9jY&!7Jh!c zm~qpPHhvtLG0|~0R{=?%TG5#@bg-00t(qMT=O7J%7p|AtrVY=kI#tS*cE)EU41et! zC63&;jAT9g+P6%&$2CWAY1HGibOqbOjV#X~g^iYwps;%o(mFcPe{`^k*!M9RsKy;? zBV_V2qFXzzk5Hq`O(lOE81LDQZZj52vb-^=zpV(i%|MO9u0_Lse;Ihn{C50#rhyCg(#nJwsBqmf#%rsun;Az zV|bfh&eid`L@{^;o2@p=o|{b#s!LX86CU~b$14ZNh(FCiP$@fAmN|y#DwvqV$`gTr z5V}Xmge*?r^Ho#pfGUXhN;Wxso>tjfav{$p-`0m-s5iCB}DO*nw1yp<>pFk%!`Fy z!-KUHv%sbb$p<0x^OV|~uJNUf_5U=GB^y9|N?8pGFtJZ zV`wVS9KeTe(f?BMGe3q@b*0aoQ>=q%}5@fb^A7Ded zQtHUw7^=ipQ!jsyA6>SrVCbxY9m8p_lWn1{G{)2F_3aJe)5&r&Et=*ubET^3rmPoo5O6)(1Ui zz7T9^wtx_SzR)15{>w)g|HIVu zzomv5*qGS=v;N~Zx1x%;f|C6w4R1FYf85|QE76?Q2%$_?PU9bck$=_heWE{qe>(hV zKh9dkVXzX)S{R<5TzL38WR-doXx&xmYq?IvlFGVzRa4DOH|N!@*Uc0#!h7=Dy^+1m z^yWv-Pv%1oC*b5XEFw5?11l(4MZ97}*Cy+PffHm}dXDDIq(OFoj4uG1AOu<&%tI&j zfw76>-&)E{OEc1rIxDKLjB}TQTXtwfr0K&RFk`~av8WGbuc!r2@BP*Vz{zb;L|xcb zDN7m_IFHaeK#jge6V5l$iu^;&{3G#oSF7Nbkd%}e3?=(u4jvX6%BSah_4?2sZ5pjB ze3RV-^O3knqxPyfmcxDD7aqe}EQ#SX@JPjFhvi6*@cf|&vE^8j$x9jll` zijqYpn(AGHh7Wklvd}_G7bVgF531c#F`MBZ22l*QS0OE#n^B+!mksz=MX1m`Frfwr z>aZN!&aawSqJd3n&zW+Dsc#^4g2n~^UvtTjPI3P z3Mjasa1FSF+2$`o(PEd#%L+9`h5yZd<;7-s7af-tUSwPNz&rUxVRHc!CrG(oZ zldikzz|vqXB1+ZPP-3$D#H^>Qik@uVxj8dXAu*~&TrfgcLC%>Xu=j?*QBwR3s1wOnDe@D}5GDzbm z9KT{?+n+NZH96m`2m-r&Tx6S}g}iGqT1zVcLITS9Ix|<6nGbwbS*NJ8B*fke^5A}m zjDaL2?#_eTdDN8H24N{8#yQ!vNwU=xZSdxc=EDjx-X6FcBe_$;&L;F{{Ld-TORQzP zJ;_U{@KXbm&rgDQyp)BV=76SA>3)_2LZ=*0&m=C!!fYMkDP2Yy{2wS>9RV9ndF{V0 z+EOK~3#Qyz_I9*i&%*jB!-{k?@d0OB8ul(|`#S)EK*|ZoE1$4u-ODy-)x&}Bj^XgS zZE9~EMHZS_?G#|}K@FdTyX~4QE7^f~CWoJfr!;tDMoKxZcf6cTPIb)qN*gp zgj;r&zjR+#u4iYk-#}SAYw&HA_ugA9V?2=wv;hG(P!liQsZPYh1tTH!CAIqAQ2mdty>^1@CUtp7p#pS z=u~ALCZfNPqDYb{kxz3pZWuEJWn6WHYNQ+c1O+M>J+k{FO+@D$_kSuo$KcG`ty?GQ z*tTukwylnB8y(xW?I*U=F*~+x`}97)-d*25`_%V;)xBy}t*SZhYmPYwGPwiqjxM)0 zhV?N<7Rynrxv-}+Zaf7|eyZ#^71da2bV+^j{9?7O?BW@75>UeT2+2wudRJI>DDbY0 z3I11{ZH+vUL=@0#VNSuZ$ejGKr|hfB3@Yb4^jf4DaYFqvbY9*e0B>fVS8P74QD#+4 z_`w9%1TnYf2-0GI$iP9i*VrkT_vX#*$`fv~(9I{r-}46-Aa`J;2`UVCWOa9k(F+oi`kMRu(33T;6A2=N*{)eN z9TKy=^QGV#l#?_QoksCgLe$=1`VoI<2VUQx8H z5bfy~Q#U0O8Z~8M_HVdcJ82*G9=Av()%$5i9Q79S-ltz(U9&y;g)Q}|yo#;8b^>bJ zju>ixa+^6~OLji6)qh8HNo{l;KhG5Xxo?pra(3Q$J*KFzBT&I|a3g6{@ZhBAWX;g! z7_)m%*W=@Qb4|2jD`MWW*k9o{+z0?4Bmz{mJWvj+Hbvz+vJF|1)X5um4QV)%Rl zQDXnPe@dcRmKZ84`w@5*@YwlX9wU;VQm!AkeB0j7CnZ)0lzrmkvwtFCey*AYl!ZKmrJ{Bj6J=K~^VwfWE)JLwrAe zxogzwcJkvM468-11@d|dwGs=6kxi^|BC)AR&b3aYvmW_yh5oef8!S zIcR;4ec&TQ`T6{Uq;{Ad_?7=l&2byn!AT}upxxu?E+(qVw|X(L&wt3jXbxOkymfZk zJpw}Z-d8FP{OHKCU>*oM(wJH8Ca5uO_v<5wuuNsWvaW$5*Jo|n=G49WdBk=JxE@$# zaD4b`6_QIH3SYV{gu`7(4MFU~PCA4;!x~YQodU$Pi0d5Ev;A_R2=zS1FX1BGV;!bi z2x{5U=;2+({xTbu)~PIk4(=LRPZoWj(sGQe!R9>+3umwo3CYp9tJH=Z<(S58)LnXP zNsh`>r^j~Ydp9Y}f_oMdXJJiBMMeaIjbwS?qBVR*7phQUA-wQV0}`xAuqSbM1%(Sj z@XzhRxSCv#96dnW^V)Jb4jiJED9p=U3~V-K3AH)iN2Dk|svNk5hV9yn8b;9mPwEc7o)t3_S*j;SxjKpx zrm|BO&6Q70&~qb^O_uomd^=j+WZf0U3b4YQV9|0wP+iQ{fLmRKMxIhr#dqXYUiRLf z!)+=}HOiW5;ucp__*>|55d%GFX;d;@9zfGHVa%6j;#XG&4%4&IxX4CM-cQ5Zbd-wC z+TGboZi@T6N*z-TZlp&Wk;kKDMV9zFm*@qU_F!MF4uQgAX4T)<*}HxY1nR z4cVqL0aOQGd06_VDJfkjgl8ZZ#fNQlwHIM+micXc+p8a<9)%5P>@4VcAzGM}4c|?`st?{Pge^nWl977(mxxL2Mp9b)wE>l2EvhOdDaW(9 zfc+=&F4{fZEJNBB4GsLj6cbyV3%ase7P^5 zmq|A4|D?YE;rRc5OZ@*ik*K+>?SqM@cnjn^--sgD#Tm0$l{nO}kcIgk*6bbd5+jCIT4}{(Ba^mQY>wdIT+%MNhb0vr?^h6iMCI;? z#G0t0yOX@Ie(HfcF-(PX+X%@N!!mf@uEiLXMRC2te$`%I5S10D`nSuNAQ@wXDC94p z0&BFAmn+Sr9XZ5WWZ{;M+bs1qG<3j*Ze25_s(pl*h>U_EK%kcfQ}rm^QP8%r2T02T z4O*ovJ`a)YjyH82Q%}loOb;P$m{e3E)|3wRag0*5#jtfN_}fr!S;II9`Cv}^>7ZqE z82Hf~fmYa0j~!ywsMG`%%dDi?OU3Zl$jrnO46D*$(Gn%>(?z%ArSbz0%IuhdG?z1Io`IV2DAMU>C{imFocv)r3pA|sXLE6Iu z!6DCxfoautk+KXLoDd{fMz1V&u^dK|ZL6cFot-VY6yuhsM`G_X*9Riz-Rf$G6M_E` zI={vaXG`F0h^kak`S^&6>!K|-u;alr zH*`I?Jnx+OY9&g@Nk3#Oc+2tPBPwz4J$AchHGDwgF|vw_d=EKRoyj@N4WGL6OUS7f z=aAL-l}saJ{Y8V4EXgWCz=SBJgD?rObpgTpcEmv&^bH~2Q-NBqh{#gQAvsaGFDLpwVHVoBH3FfR^$$km# z;%9v9VxoR34+S9$SW&cEG*$@B%RP!5iVOMJlpE^7E#LuTRcs;amed>WXRrz*sVAST$9HD;EzBZ0nX*#71&m@*Ue9LnYwttPA( zzuztt-4tD+V{(yFusB@+>^mIm(AK0qpy+=-0P3PfDK~kE*L^g}LFJF+!UK~}FwaLYI>R8X2Q4cg#v6^zz z(@RbX-FYNC#!%0@q`V)dMffL>?B=f?0-*{sO_!VI zsJidk(PhRi=YhrMx~e-5xlYqMsT8few>#m)&NgS>9ENu^_V+9FphO^q4P(XJ#CF~V zL|(+;C8gOmGm+`wQt(m*>*qMbPR)+r!mv|6zTCd3F9!188zfyXEN4d(G%LUN zs0-Boz2`V~!0XYB>s&pp zeOfU>s5>i>dqJxDY9NpbelOYJn@x0};Nn?7O##FW(rn2y@H|tQ_Jl<7_VM9)oZT)A z+QqG3a-Hydyx4O5ew}HLYumJY^*ABKcq9;Zx$FB+W%3{X#s5v2G(c1|LA2oNcjyxX z20}&r!Tq1k{s(3I-NLP@DpVltBR6=H|T6CSvG5fH#~7OQHC=^ zhEwV}8bGrId&d6S5e2OZ43@$g(i-A6NKrRoj?@MoE(8{vTPj>!uXDxQ8hO8hU-7oz zeum%uyJpS&y7}q5?pr_N*W98hC`iA@v6{6HvC&axR@+-Bn8ff{Q&8-OiC?6$J+(l} zZo{v%vzvwB50_0=KD@h(+?%f4t9*`ju8dDRz!ke2^dO{L^kVLIG=y*W=|f6DMs9=K zPRLeSv}70(V^Mm;q^KG5!VF@7BIDh*HQi&{`#A20DN;j!gA{t{(UJbzI7w1r(2pRa z67-{^`<~fc4C%BCX*}N#;X^2})#%oP#vanAon_(GGRGZ*pQH*404Yx5?VY!>Z?e|xkw=ix+BkWJS zurQN{LzxMuE0SkNm>8vNlIKbx&v%!FaT(W&38gt2TY-^-q)cn(OmXX<^P<%vcId40Dvl#7#Hz5f`m_-PS_QvS4Gn<;6mwOgvOXOfa?w`OF@jQ~B z;LV@oH+oEBeNw&YJRqEGV@<^T6lj5vKSxMU84hwMvCkvq9O=b?$HYW->r2S_4VUTT zU_#)K53xo2$EhrW;~b6}YIV?c5O(?W!KI_*%2FxD0wJwtG-BEr@$}yD)QYhdq7fa~ z-l#k@>Ox>#qcwv_qAq#Vm2)AWrrl9aEvz>CPA4<4)iY_ebIc@f$TO*{^^n0U6k7jK z_Y2q@93asr31D%QXrfh0MkSt*m(cS=!$8<6WY?_!R*nr1t+oj+vQlJ+-U$L9!rtvu zbx2C)Z?xv1Kdtjv(!EoBSRjhBW5!E>jh!s?6oi5pVZ0j7V#WnkAg#5$*NCqO4{!5Q z1Q_%M-0X5gfNhC-k+M^2q10l<0&b|Df2*Vok7?#H6p!VoT&s(i1q!)q=ulv~ zN0j)G4M`eo%uV&B6FSEAs*Hg1Y(Q@}vJb+zJHBoM9K)u;H^uC?dqWgr4P``(FfGq6 z13w03dgX>S2qV!H>S(KK>;&oDyT?GemIx5bTJO4RK)x1D#{#^Gpok&@u#)D30s%n@ z`)_C0gN_apPY}a7!#T&?SvsQI`kgAiI60i{*6T_>HtPw0?uwH(#S_4gUJc(x--(5t zh39x-1b&;YSiO4PgD!xoq`abeC+r`-`^_l1KIVQjzS!uwo@OXR=jnLSblIUjxb&~l z6ZIZ+9rXQNnpynWfKPXG?%|B-p2GV09Z;Jy4cir1W!GrVD{`-k*sshS8XY-eqWcFy z6lj0$@n|43OOrsJ+Iz<&uKyhWcWyd<7=8oZ!61Z`6hh}OlsZ|xzAF*}(!DyFu&p#Q zI)g_DkmQ(;BJqBpD>V3_ej2Fi&KImn683OZ-=T)|A2gaE`h92j9z8@2(4;7%ki?4v zVEZo;w6o@x7;vNV?69j$Y&NR)1Rya-hpVo=Dj!_-_K=N~W44^;P9bRSOLkiBj6hSF zTtSit>9WZjes3_`HPfAb7-il73LqIbDmT(GVo|8O@=403@mJ{RssRI+i!>NI$qV0C zNgE5KrK?38kJJ5Lb5(;htlHCO)4B$!;S0-nZYQzzku5IrAIhSj4S1!DApI7zr{6`m zWdkA+wv`j)Iwoj}?sbscG*<0zKz!W$r{#U{#VX7^{cepYfai|4Gsds(z1#Nl^4HKj zN8FIc653o2o6=4ykLC8>#txOy-|*4#sGFwF3&ilCgh>pSW+VH-?H9`QwrpszAwi)w z6w6aMfc!x;*2dt&N(0vS{FALOYL_-E_p`CMF+TOd0d?T)GsL^odNGjwIPNd2=no&2 zqCf|_7b_->X21cLIoBw_z3pBtt=CdqgZ>?vZ@gVBKvcgSuIAz6$P0O^E7VoMZ&0I1 z&TX>Jz(KVWB!$D8t(Q~?==uugwcCJBsbW=Y1I7=^dOG2&pG@bcCgmYW1lxN!56n_^ zmA3Gb(`EM#JXR&SHhO2cJ&MngV-ZwfCakJ0##(JFTT^>$#COK@_7R1QlYPU42ALgP zKiQa}n4d*YNR21)H0%n7CMMba)WghH10OYqFxoXbdaI>G@+f)9GTH-DG}vY;K@`&t zib=yf!PI_>o%#~N5Eldj>hWQOvWz^XRs743`@(0TZK7;{HKio2CXV&;kC!cJRWH9Z zWR#f<mT z)5AXMOSHB5d<%IzY8bgR08Qh)&v7OFt+ZdrE*-U=J9Mv~)WaNg9HYKIt)D-J_IHu_ zvH?f8U&S%enZ`bwg?CuioG@;_x76nd|G(3U8eKR)S4?JOq)Bad?WN!! z=e&nTBG9Y(3DC>%(}fIum%Ix#Mj3w1kP+@N0PeYnu|GoPw$KE^qJ{bON{$O1+TgO( zw=lmzKcAYgR-}2G^4YQFjz8szex4NJ!b-5*^bTTdyWNWY90(}ftqR^BMZa6nzBe_| z{TPv2)pc8)&b-99^n@w;W3KJyzd^u=ZJ>D;Q9vf@;4qxiFD3rWbra;CLrBl>*Fe&1 zG@ol@^bk;Ru8LqtIO`IS_QYh^-&b02*{hTM9vCfDTXks7u@ivM+6?qRxI(y(|PxdF1bX(t{w%xVpn4eye4d7qnV*PnzN0@}KKjY2LBp-*dbGm! zKprEzRS#!=IlYp@mNFtlcSWaWfhH_T%(JV-XC4sQZVywH}VI5EHq?}Dw{BR#*wqJ@nhZ{@K_-8Kuxhgw=N zEm}8D;Bri;aqRKk%-JhH;rP)1Yv6&;qyb4{ddxn5xvwi=?6;+{5w3uLJKS9ypO0!l zV`MUyw+ur+dC^%?Gg{j0ptf~mu%QZplZ*Bq4P01vr{8F&Kmk;9h0r49$#n=PoNT`M zV}HEl4$?{Xi5|3+V6$|r^gv-I#M<@4!7%&+4k$CneuJ7g{`o-~>C0eE=U>$@0ec%fCE#WifVG5mS!)c+_uJdY@xjD^J4 zC%ybJerifHA7ftogLrhWb=xHMxprJUb2^1FkByf3()ANLogt>AUyzfN4LyW4-wTL)u&kBIl56i6$#YYe(? zQ{_S5Xa`x$1pzhY+!Os0j~*R?GpRa(a)&uHWDD-{qsOlO<6qeyxMV5R8mfMVAD-G5 zT*R-9AEIrxrfHn+U-EscaIz6WJ4{t=Wr$$^phite6~Xn1uo*n2rGePNE5=c)u3I}8 zvrX{ca*$wAV5sgeQi`abz)R1$f+t54kWu!$w;?Ru2r?H`m=)(eyBK-$3#1x)1u3~9 zqvbVKwI#R}F2A;}MPZe~k3*4}u$U7N)awkr2JOe3Jqc42dpd6wAoZi8+QXDU!-26A z=yVW5`>cD4P@WN}Ww4v1S!9984~ij9+O4Jjc2~%ji@?mO$tAHr=XR8K4Z~%#X5*?2N9t zmjyG9;WEb~yg z7U~8orN7#_-jTVA6|pd8!z{mBjQ05ezLgH0b(vRL=V~l79inSwtDGH}9skp9v4nR6 zT;Ze~&vSaMw6e=f@iS;oW{Pt#YI=v|;0(mTgNI0euv4o1Et>3$2wyKMu?arYnf-GM zUb-5DM5Z<>^TXNhT3K{}7_=mE{-r%_)jl~KV?y4B{m@1`-xkG)V#pt>aUQ1pO z%Pfeq)P%pf%H5Xm)_VM80I6iKq8pI}?U=B!req1US-c`3iL_zU1>WHY-d<^U!V4=^ zmLB^p3JUBHn?LxQ`+RPTrFS)D7LUU+g09=~m|@o(^3`R2)^A<6X4(v9eliz(A<}6V z6Zd4iO|{q|yTxOeFGuTiTvsc8N!y#Zv=#bWo*ocLrS8*P-S_!+Q1oYY! zYpsjGgJCL}`BXG|lqs$a^wr=icilF3u;s1VE|o7m6BR-wPRi`TY_X%PO%>q;j}r6I z_ShUvUORJ@ug66C1dr6S)U%OW@VSDIs7>rYDfT(ZQO|Ws)f*ks#dV)*7PxT_{8QeilO`E)bIrg!z9s{2%P) zUjc>;3Px5cF18HvgiK6~f3pmooLvaH7}@_zsv#@$zf+P;9b4yh&cv^t-oWkY4w?iH z|5fRd@!0)n^BhiVZ}ub$HH{|G_3Q+(97^xK&&Ow0!EWt&O%$F+_X7@(ajO@5h&CNw6|?Z7L#1kNe;Un#B@-M5f4zy z@MNIcQ$!HL?b3w0jOQrBLoKsZFHMD`6pM;XgoEX6u{3osh}?1c1Rd@&<&4vS>yYBx8q)MEGY5L$w79 zO0tg34&>uyLe?Q`PD%#cDlrrU33*Ee>EG;FA!J$g&XLi$XZ$4&ql7M zC<5Wz2Sv|EM3{mGv0agnn4X|f2Z#z&O1MM_TO{S_?aZFtl;Zke<0&8cG}Zp@pGJ#BSo$%sDdHPh;)Ua<1X!OO*`a3B2OXMlJ;%(v+F%gI6O zmXf$vMb0Re8>D5-OS}?qMAdfH@BNyXwos1gRpGs^j5?#`S$mJaEGzm_qv5%zzbMak zF$XfCX7!Ad`T?dXZ3j;wwfjB8`E}}_*Zt|?<>%w*_2fx|d}%svh>VJkFVt83XC}Zoh&9347%}tlnl<@|LX^4_K z%#f!8Ad{L?kufXRqb`5r6QY?VBXNqdj8m{~3=lRaC>L)p$Fd8HQjf&PX8v|VRWD2C zq#{z5#tkv2y4%Efgr9EIS0>fzpzC6)FkmD^CIH>4lX+piV+YoqOmH9cJki5;Sol7D zLCs#aUQ;C$C27u-Z&0LX)Acp?!LK4~k*|6x0$co>H5*gZv0gxddREHXKudKgO5iP(Y2JwWJcyng7lu8Iz zdCDb@K?nsQv>~C?N8ScgRadxbC_9QX3R9u7jVQTeJzwbzFg*MA!w0bUryrB@UgWFK zC;8WX1aT!<(q517WwOYelP4pC<1mH&pJX}^@Gj{Mp5mf@mxp2FR2aWe;f?ONJ!@15aKIR7r3O!=t7mM=RxGCxw|qEZtIHX#XBwwSH_D73|A zu1zL_OZKQ7WEqbm#S6B7UYlt~GhwCoS>fuz`B0uo%?XrgPynI7g|%?J)(cSL^XKOJ z_}veluI@slKXnM&KU9V`U}&GW-|Zo?yM{f`CwY zj>^f?)pC~6hfD)A&wJ3hmF`~&QP5A$D!(HLQbULgjl1jgu5T`(e}9CCQ|{hZ)w2*81cMBW~r9M zJtnDue?R<0@dFo_6vzn97999yuggJ^)v$7R1A4`$(Xqs%w3Qdi!k;>%R7TFdlipyhbnpy%iG00!`ikRX6sV9m2@M{^sYL6N&~@*R&wrgi|{(M zy?W1Vk1`#fdf$v)2I$t`sa}Y`?E~U!(2z6e&ag5f=^h6RzB^2Pyt>U>9*(t3t#te^ z2uqzIp1Fdbmmlz0s=tV)s3?N=7S$YGhcTZTC#`}L{OtxO}BHcmu6SRk-kC#)5qEq@}_K`9CPE$08AK0mS*$+1^lFYV5@7JXczk1pV_B;~Ly#$W~D zT+m{BXMh)^udj?AWo&pJfW70T?0YdcUrFgHG!SZZi*SfJriVSbWD}wi#V$AoD&A-g z?a&QSx@7+{;v5s8IXkn9P6>s_h~J2h^A~025IM@c4Mo{l!ox~yOmAF%Xy6XK9EB8F z(-dW8E>uE_iL_7^Eh5G)F+xhiLMth!6l-UbWb?*WK1_?BcYgq{j0JK5%_jlE13rNi zlmOzcEcnF64HbY3Go;}}-ydjl-kdCtwzg+cg6kVOxQ_D6AW+pGtd%rwM|${zdVf4M zJA?C;sv7a8con;KzQa*2J^=p_oxtCe`m-TD(V0lF9Fud@)Qo;D3x%hR>~Uh>IYXk= z`(Q~Uh9(i0DGh1O4m0g+DYkoWZ{eMg#(vp$BnM+LbC3FnmO#5sb$43aQG+7!pSTFNInW^4Fne961{u<< zMggqV6B$>MVkHPQ9l+7(9W-d{6D!y#pmPn;CSG1hsD9}El&Y_>0VLMbo!E)Rr&bv6 zmieN8H=Gto=g#8L{UA&}#awLeD*EYTrACo`#nfVL8`i;z?maknDgk-Yuna8ADcsNH zTLUFc$!?9ETu_=F1z#S3+(8*K&-zTCTwEQ($}KWD`i9*?dcI&uHHs1b_0YId5=u=O z)fZZsPxhFkC>QEC%h*(ga3l#7k|e~(om@EhhclQ{268UlrHDj1F^m8%{C5QOc9Us3 zOg3n6h*6|NaLiC#3T|LKPv0oL##w-1iH(a_-XAe-h^v? zsQ5#XgbBEOowl(t^N&F42nS|Z`A9HJ^mR$;}e_d%=!0R&)*$wnR5mFP9@AXW^q@xW__Ld6q)TZ;F=0ex zge0cPavp4e5veKU5{I^+zavdsWdv+Bcf-yJFQ(~aysqW8%}AI# z>FaWq=18atMhx93+cG73PQ8$E7o9K51zzCn2Zn>xZDJ1B46;UNvzLQLK85)Z&OICG z+A>RSg=O)h6^2Q}-HcTzJH};Kt}Ew=`{B;zsq}g3mS|H2Yy$qS1G1SSZ+iRd<*8SG zEAMzPbNxxn(U)WN_n)_qf?U+r--A`uCPvGqd{_b(m(Nubg(*4nIQvc>-R>I_TWa$7 z+L#us*ul&AP}W-;M)pfMX(Yu`yP_m?<6(J-OxEZ?gQ>or2@2+tsT&0$A7`5vg z=NGu;Ujd6CGVdp0gaMqua^DtztAJ|}&LI)blmuMtxDXP&*$6BeI32kQ zw{y%=qm%(W3Omi;f z0A%f|cuO0djh1!4SmlXnn$gclU!y>EKG#)7ioAp>+W~(t9j^PraOYrB!iw zHAZ&MD1i!c%T}ta+?6x1X3;q`8E#3ZI6}WLVuxqer28Q!f|vkB>{32?&>iBM-`BG5 z1%p)DhpbT&^^s2WHcKS(Pn4+808rsp~uX*9g zZ_&9h)37e)NpM(Gc3<1^?uo8GL2-4EqFXw+w1O zh)Ns8UK))d?Ar9r_PhNs0)^?gUq`-d)q2S^PHaUf3KJG|noRqVh=se6w=lW|?9R3I zWVHrSvE{-9?I+)$j*Yq0ZZK*e;*~alEfBQ>Ct(_QDGQG9?F{NCCbf$z)m49gFQ+Hd z7R+2d`0?*{8ofZODz2K3mh9Bqsfavh>hT&V8e95O8$*9efKB}lu}-S9cDsyx zr{3GNiB{vMV`tLg=J0QZJb}rg4H$qaTaDUw>eAbkHKP6|&@kKROB&$>ISf6(l&e{- zv$zFk=vo@1-3%+UHuM{2)g%MtKfn@JW``WrvNN+M{MXx* z8B{F2ObMA-Sr{~Qmbs@~K+vm7I80f&lHlnIu`QgxZ zkOYA1K*Fqi8|XGfV_8NE5u<%Di}C=Pd}h_)@qzhZL~b6GE>Qj%UQbIuPv$Y&DiQvuK1J6x; zLsZ$rmb|2k2=AF;4OrVdG`xWlx0vMnjO2MJp*K2vClW?>IP(b!?;~RYML>vxBOefx<0>5J+NfzQR@uw(f8SCf8+eU zkJcmJHvn1J;~Q&6AvD0R*8^wOi+SO|*c;gKyx5Vv`0>5$N;ve;zT9d!6fArz_dc{w zbgH}o_V`d;H#%kBo|e5u-?mOZCAI0E{O}*YHeF?`qqb0#zHhG*{OCPCH JrXUXee*oxOXg~k} From 8596e956f28073a4393a6bf08780512c75c42f79 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Thu, 13 Jan 2022 13:40:29 -1000 Subject: [PATCH 09/10] add diagram --- paper/nested-sampling-diagram.pdf | Bin 0 -> 91752 bytes paper/paper.md | 4 +++- 2 files changed, 3 insertions(+), 1 deletion(-) create mode 100644 paper/nested-sampling-diagram.pdf diff --git a/paper/nested-sampling-diagram.pdf b/paper/nested-sampling-diagram.pdf new file mode 100644 index 0000000000000000000000000000000000000000..4f2802fa02095711d9c3d2efc76c2bf773760ce4 GIT binary patch literal 91752 zcmbSy1yo#3(l+i8Ah=}+7JOhB+%>qnTX1(xaDoRvGrZ{4o0>bg}=SIbZ-h>A0^FtMXkt*wtvqNA_@fB-uqOLSgdW*G}xQ$t4! zPg4^B3$qM>i-iNs$}A6HXBGpnv9oc3ndKmK6$l*+=45^i&<3!8xYz-#tYBS!esoh? zlc#0?e{-R`JDR?Ek^}~$qX7T9Sl9u-N&wq`(pcD8S^lJP{y}2}fmwgA#|q;7qdgFi zvG7`i;f{1pZ+I z7FKrl-+5VBIXF3f=Vj$$0sc+{0a^c$0b&9DZWj;-kp1_*fjB_G-|YgSar{}2gZ+28 zAP&wyh*5v*2OA6LAMc!vg$ww*4cJ)OK)>6W4I<)qJF`K2_jf;l z&^Z2R55)eb3=liVA38rN_`A*!W&UW7jf3M4{n$9!{?HH13i?9^n3d}fyMQ@?f4n0w zCp*{gy0C-(h)W3M{NZcBUx@QRKIH6ZXkl&Y_=H``5ZD5MxtNvg?3@9RFa;olIDueMHc>HgVG(gIpr{ZeGQ~vM*+qrq}8#uN+jwy23APV z$E2#G6@0})jns}(z*gqcO1l-I6H+%S3+xs=E}D0w8$rqJGhj=Mv4Nff>;^xSV>ILj zA9CaSuKWZx<~!7?I8@`6-vS@nGXgkFJP-&-y$mxEA$X4o=zxlGqZD|;`oEO>3-zB2 z{?{NPYwB!hV(4rLfZ!s;@(PA#rcMBe|3Jzr9`>fpB9Ld+c4q$?F(Cf&PhKHMXJI>c zZ4eX0g+W{Z5EC1S1%gW;P7WpzD;t1?la&d?!luhCY;9_4@>CPZ1o1-12gJn!;d!dT z!35;u)MXa2vvoGLb#~Hzvb+)i;%|`uPmuZa^-D9z;PsC?NL)M-fB6jLMLgX>_#N%+ z|4#uDj&?5g0PwHs%rb^f&a!qU7H=#}O5}%PebZ zVqy4yHmYFg2vPbkYblvJ*||6xn>si&Gq8AqbO-3WVvOGzCXHV`Wok zZDvT0z^r2G?ySqKA#Y@9YW!4F+y)3>{YPYp+pqvwf2jbWLafUA4^faZ3jp+wcMU1C z0zm(WK1dk^0R0au8{lbdfcOK14u-tCzsjtDCz$y~1_7QB`&W?-!1hl@FyINVeo@&0 zZ2x5A06dMnmH#0>}3KxWACh8CTPctNnF3ld>x{^9RvZ5&Ow z;aGg+048+k@-+SuMe(S{YO0O$6o}7qI;2w`It>HzIXGyr+VgRe)eS2%6K)SPUh5S3 zuwv1+mMBw3*nC8Lc`;41gP6ReBHS3uA9=f@{4s8h$8C^=JlxE-2(ceeD}(Wy0~T^TS>vx!5<7m3Sk*c6Dw9A2<3jN50~uSU(xn?C@<$U;oVfpUaVEyKnE4_0w)klH(C12e@ z;)g8Z42v6C?oFxA93l%Wym8^?0;)|eTTkO~;pjoUpG$|YO1Sq1qaqz?YiN114dXUy z8jMkbqVR{KH-D0blsdlMEJrQw%xV!@8Q@-;tBkII@zA+EF-^;V1MevM&gR+mG9!nZ zc3z0tQ2X1)n{$)%lW&b}sXP0h@tFbwb9jK`XNTL!qN;G}W0V0QUa9Zc4s~h1LeY+B zK{YyX5`=J8*J!iTUlD^7Q7RoO!%X{9%py|r(kkndi_HT7DP@ths*bi2Z#!!}#ZeX3 zfAAaoUs|XXL{?M2v=%3KE*lo)kG75X^b=dfsEA1js~pApX+n1-&>|IUnSv(DLnFv# zsjGWcf?`Fe0&`^8-^s)khO%q$;(ZwknZZAL;`bTD>M*Ltc6*c9>9IrXLjH5`{T$0^-BA^uUlD(f!LK1yrZwHX=hzlPoa?yp?n|MXW`I~*3Y*3t4~ zLW_l2xwQ=)QL4Zgg+_8YF`H+MNEeUNyfoF{ca`LH>OzL8D~$yN-u@`-;!-x+k5n`K z5F9{XYD_vf>>se}DwV?8M&9UC@2%+@7m*Va>M*E~kjp@wW=ocY+1q5RmtX0!{f6)Q zBUIg>pEaK_YO?ZnJ2Xw1^Yz%prrEo@*UJ&gmTWUe?|sMkndnnnP4|!nt$Z*B8`Kan zw{>hf7-~LMijnx|Adk2+a@iZIi;NOo$ywQUSmbu8VHLk|RaDx}7tytchMjMu=-Rb% z0(Up+mrhGb!j%Hyi!rDoqxH3n|uRhp2 zT|2h;{8C>)*V~=p{O7kK9k)~N&G)rAdRmn4c6PV6$xQHF)f;f&Vh6}fH)Ie75ZH}q8Qs84b`Uom{f46U0Iq>U!ML4E$>&G&`*a%kuP4Z`{_kT7 z4v1huok~V%DVR*!nBfn$0=bOXP-c^?voceg;0o?-a3Q zbqhJcAqSLZ^z^?M$=gH0nOhg3)HOtJ}oep>CDIvM>s zc{9!YfMoz>j?0AkH@^RroBZYbPszhm)&|*5n zlwzwmx|sgTWPbhoB~snO#M#_Q8?uxDVf*_((64Om@1OlAm7Sdf@brPCp^(*&f0X{c z24wR8OUCbYo@xUDzg9>7&;bldrGI@OYXtu+KWY0vWe6`TyH zbMa#cDTEfMb{ma|CC>XZTEGfb?BJ4Gkc;6rZ;Ln5KPc!3M-(j%zH(QPogM%Mc;I@s z=Ra9NhX~4L4^&#HMB-x1bof&8*O(~Q3fH~0Qgw?0;0+ELoro27mn;gS6YeNBp;Wv? zK`$o1|7?gHK=VePikyM^!brcO6p+`yCgn~MDXpMT9aSol@&)(DU=;y4d|NUXMqWw^ za{~KSdb~;J7Gu*iq1f{RB%D~XG{Nu*G!@2f<{c~1OEp;P*JNh4A-$7UTX3HF(uphY zYyAbfu@r%|yqiw5`8k^Ch?rUJdomJEfhVr+Tp0LCPRDg_hy$1EDXVM4sf)wD4FnR4 zb~#tJwH@CjDY8@WA4z?d2C4L|N*?f|bMU&U0;h+># zt`bxCM(&7xu-CO-jeY_}aq`5|{lv3Y%Xii;>01aPigWVKrmstVYT8gcSx7Wen$`t$ z$Vd2T%^JFAu+8lu%Zp#EZSC8t?>1^k*g7(yjaD<5eRb5YEWL7JUt&4BuG6?haLt6$ zO?InXnBWCGez(0dY<_gw^wn6jb{lN|e({qSif}v0iGy|$xk)lVF8z@5RUDkn*9)rw z=QR}okl|72BYz2PcBxWZz6_x-a;s<8b`dM1K9jO3&P@eL6UQgsPn6{s8$Px;G~yGH z{vjiujk54BlrjP}$nV9qN7{Oxw_uV_Gj&)3iaf&vGlZC84TzFeQ#`p<=7g2V&&KBk zPbiz-w-u2FGIQMdk8nrKO_bbor^ba`5NT;mFA`~dR*?Po0 zjW`se#qgqJbVA7v4`FC zX^X_Z2m46=EGUk;Q-22yrB5gB_&1>b1aJQpPdK^$Z4Kx3`&7t`ZyJcUctu|&{<-qZ zu?4{|5EGloHFR1G4HY3!vd0UaJlP zqgK~_@h5|#G9Rx}zHbOC*&{CuNDZkcLDy1ZE+@+2r^%Ff58qYllSCqd$*xowdI=w| zQbs2WeBzW8KU&2ZC`+cd$Pyrn#(KzaFAaxo4Ne7gjFC#e1!a36!CD@9qbwVpIC|cm zigz766YzdG?@hCJ|7oL6SC(h;I?Fx=!xH!A`&3)iRWW>IGL1Sk&1V8OGJ9AlDgV=y zG_e>s5-%9VY6{Y7%H!uz&wDrcwtuYhd#ifBx3KW}76zZ{GT9G}v9g5drPsE%L}Z|( zbimJ|->h)R8YX0QC`H+&f?${9QbNuAP0!{7oqw<9d4BN&;d;}@8Khi4LEC67LFLFd zby}@*N)F`_<;h%JNcf0Fe${U%j%Z}a&sP{?;^$3sjRWm#>@cOGYfbyIKdegk>T9&C zlOHG$X`&$IZ!v8cXXjKKAm8usO_L>opNlDg zK}uTQK^+yJ@OaG+7s3kL>i-iYS3u)?de)%&Jp~WxEFDzVz?}8g0D9+5;~u9L@FB&p0IoMXu6`wcgtBjih$O$7Mlagj@!Qqe~DK0E;bImml zE(~>!D_Xn8Uek|`$|;$k;Lt(rYff^eF>zaO#)kkray(**&>^=gdpLY~S2ti}ku1^F%g{Flv)4yjQ6Vb@P|} zFH}2`mAJa#V&N@?z*<|SaX89Fh`_DawVRpPy@3UB&>AfK&N=U9*(ilp8f6G(WNFuU&q&A!A9FL<@$Ls@>^J{Zy}8pL^b;^Gz(5cA5498J+M^OI_Eus*;F^ z|I36}a?|a$S(>?2o0q_0)CXfKiCX~I<2Vb{xeZj%U{qIvu_^Z(e35blamg~7v&z!A zvzLl_C6gqogP+-`$vUrzibZ@0KK7kWq(va>2KGU>jgU0?p3FG;SLYscd%L?6K&yVh zLXGehEZVIDOcP$wD9PR8ap8Zj37k?ipXTYxJ5ODkU2$zcbGd1ujpa!xg;|-)RWvyf zJw%aKAfc1s#^<2;WH(5KM3m76%5Fr31esmsBm4{X!Lwp341M35wUq60+p$xdJ81W^Y+mA>^BiL3kfuwS*q;P`LH$gS$d?8<{yO}A{Lv6W zN>TwWf{o2>O@AI)z2;JL8n0qTRyuH5A$w`A_|>PiB|3Y$%J@UjAm)H>zI(K@IvN12 zRIjD*)BCu3r)QM2ZJy{r3^4KF5#eVp%f}T!D&x3NfOa3G4D(_=M?#{`530LP|&L|i5>w?oIJYt-w_rRJx#^MCBE)Vj&%om+uQ@8P?V6I)rJW%(&^*7o3S6SK}7mavwF4S3?Eb(>I?!7`VQ#PSmq2? z&JXU4t!f|6F8dCc36#x?FYIR9Z0g@~L}-L2OuroS7Wsgr)8KR8AOzjVo#^mRG$gBl0+fIK3{^Bn9KD8=+%LNL_D|y4YoJ9cnz5AxS`H@S)0u z1`TnjW8fm885cU9b~3rgxn%yso-7?z;821}*_AK>Mm&=6Y9~l*jS|kR2Jb!gBdq=l zzG|d;t#U#590D9t0H?f8jJjddV?#YoF(I6IFJ(N0gla9)VSU>OBA~{ zI_vJjt7?MvY12g3FK3y7s$G|#MKcFVeop$qxlZ$OHYT|xR@QLF$c)D$V9lVj zAr4iTL};lW3u1g(O8Y^U9jT$5<`y;NQq8&ebZ%D>80=W7gUqr$px0^L0voPKpz`(y zV^p_VE!+E+3}~z56FN==fod8?IK@F24Gipfkw??3R%*hZJ?Bw9L2^8?p$eG*zI*~Y zi8o%%$U*j|(V<_eDJROre&AGwdhd8q%V}oIyCa;*i)^L$R*~k{+f!K+EY&(_Y@`lL zacseTF0zmnxD%Q=mMc|{EC3~oUt*<9in7p+sHA`#ECX5!hJt%B(JC5VPbtS%!|!Na zl@25r^Cb^QXm)S;*7)=~-&LvW%QOjBkT4m-VhG4^#VtALIGDng^$0#|i|$w02kWPQ zb;w$wF`s1f539!lYrYTVt78t%1j?sZQHXK*@;Jun-_2L%ptVb6>OE*+uO#r&sND)sOMkwM_HUguydJT6fc=Cfr zujxcwtMJRY7TgXvt?eykBm7wExPEO>g)J!MY%F;pu$Zweg2U{LO`Rq^X`Z2HBFryHZuu|1vZm`nb?}3zDU_x60^3(-(q`Y3Oo{Cp0 zimk4S+ImurLYhV5>c@H$fl?)9S=C0!ca~XD{P16gaGWG!8X2-1CA(s?iWt8prneSo zRG}(`z6c49VyUPgSG{O~rKV-b{vL@naCLVW@{~Grtib_f=H&Wal?Ty*H?p#FuDv8bhP&Z6*o;O9>4XZ%Hk2cQN z+zmbZo|O)MFZJ#}TvR&vV6^ympm>PB7$E3+M7u73rXU7mF6xDRA97ZmTH1ZjaCdel znszW20fl-PA5(@>JbP^>wBE^2UaHld)s|l?>*0)j()ADv= zuXK&jO!(^>a6HfbW`;d0L8;Syq41ycx4>b0DyE#R|J>>0C@YbLzJGVY}`k7|ZC4jeMZTVXWJW+NL@$IIT-BB@^b9 zAh_!bPCbh-a>?!GEBY@m#2;Adn`Vl4??fK$C^&2s<^YxNO}l6ty1Shnd>&Wb-8`;C zxyp(nxyyfG)KB)>*^$|0kS$0;sk7g)w6N|WVsjLKJxY2_-5kzw^%gRH)X@aKO6{Cj z>}y`vf00f$JR~2||G?M*>ranKsOUCE*M3)l5CgV0{6Gq)h$M*wjV=6o7G6jc9!E?x@N)v|jE%FnyjU7j znQ;-UdhqDInTT~i8r$m~ZS^nhFi=!*9E4QPg#pTwkv@@ton!L}o(?C?H z$eGMhsfb=YTpXiZWGGk^01Orst4AplBM&*^O6(Wu3atg?`|xx<#2Aa#moft#z~jgF zjNf+Ap#%vz5nsjEI;QeClzrydk+~#H^~g)04pw}=e*))F$5v^X-n#9*#Wml95~=1_ zO>34WoC7?uNLBwvn7~O<#OXF&lyJeR-#eE#P^h?mzkpM$IA94axJ%tEM9bVa_spz` zpGMmM3KZg<#dyHtCp&5$HFFA@+&r#2rAnB;&_Arpa^w&{4Q>C zu2xQ*1u=AT`&lYy{=AX<(NNZYPQe6I67XgLU+4cpo-E-v^j^A`G4#yD;> zFxmx=T1NYv7gA0Q90piFRt~)TxJO-H_L+UJQY%fStS3-_bWNZ1`pm=KjCL^IGY>EN zYj=T6sp{&%4BZrhOD&$V)uZzBx2Ci5Yy#gJ8jQ=K%V!ZQm`rtULC!myS(3ky| z&KVP85m}GH%d1QG3!})lSIVpWlR0XopTgrzHVqte+H8GC&oyCSGGVA!py>^srTXz; z!o0g-2WL1qopZNNhS+uZ4Ej~NjV-HCiG zVNd3bT;`{3fGracVt~L4Uk*TeDTEe^swspKL%#ukBVzOlJ1j&gi=hyT&QB!Zpi@o4sm|{V9B4oTvu(KrCcjcgOIY%@aON*lg?@971Q}iWm~b zYvgbwI$^%7aNz4%$?H)2VEag*th*E?_KhesOJK4n13(Qk<$Y^UX%B4AdXIEZbB`wW zdlRwKmtrv!lB}_QQ)2VN^Afia&L7!iJ>~L0kbeES0q01rDSZfd7JC&VK&4N;OwpcQ z@v1ByD8(%%WRZKW_~ljKD}36?cy$$aRl&&2Ed~0*gDLVo-#x-To4w~mkz1mud8QLn zHJdf$^GD_xllkV%J0wjsy28xa#Jl@DFD9ZV+p`4>fdsY@=Hlet9U6VJ!<@a>pH3Dc zthS7)!OF?CA0v}V*_*8|lO+wCSdEjVKgtdXZIN$@ZBgI_ZGMTZFey=+LE3+{k6;B^ zmkOWVwMK7FY7Oy;^2rccYj9ZOLXo4{h8>|D(Pip#*^+8-JVZGpxI%OLB(Z_)uA~QF z9&)9<1ZVdp)tJmY-E7H#-{|N28_E}}%_n*HbiOYh0gv2|c|mDn5kV71k-fg*gLtD1 zHViq835kn|hz#YLZ8cpbYo&Ch>>82Ui2Da-PgdY({*NKiD_KUtiJa!ev!hf&8NmE=;7T%!R0fO28<6FmLbp~qa;7W zJ{q%V;Iap%eR)G-LmEdC8O1|FL!!@xoa&gyor=M^=#bAHo;H|@m@3ab+Q8Y6+gQ`^ z!=-Uo$^o}IvDwy@Z~t~kb|vwsZop>Ypshm*fXjw_iDKIfTF6(bVirGyiph7(|x`;cQV-2n$%omAw5)IT>4~toYtJyL)P2n?4=Z_e#j%PKG_Kr8T$+xz%go-YxhfU3Yornz;@CChcy zo%?lCzMV{a9QoJ6{%a9x77&FK?ut zVW+O!e1p-0N23`!8_ni(*=O)G@O%CgLAhNmU1>qp;p_NzTD-bADpRV?KJN`AyJMZC zOOw{gkSYD&nces}TadG%HgoDV#se_Jw8&YekaCB-IDOJb9E>0ImM zB62~MmQ*Iqq4`{`y6BB~M)tBM>NHakpV7*yfHHo>;g^IjMNMCuJ~VA#cwB@K&7#i- zqeiAjS`i(Asn{O!32hQNGOQh}E$lvO;Z<8p&`)X2dsYoMmR8$%daRx59!y;hTne~c zyPUgux4(SbTPfE(vYF#NY#nO-Y*vb`xI z=m;3L%QB1B3%p$MxAIWA(Aqzf8$MEgjQM!~$^6rFif~GKDoN`5)T=a;w25@V^s)@n zjPQ)xOpDCfEQzeTZ0hX99E2R#oUL57+`c@{yrO)f{P6sT0^5R>LZ!l&m^Ct zi(!ggig!zNO2$e>OB>1<%d*Px%EK$5DqJe|Dh(=Us-&yBsyVC6YN%>bYoFJK)j`*J z)E(EG*RM2aHjFn)HFh=eG}SgUH5asyx1_YIc~e>xRHXwZq`y+7b4Vx>1hN zhB2St<0Lt?#x-woy@z=-+h0#0KX8n zh`E@!M6#5H7fY8mmv>iT*M!%F zH=H+px9YdscW(EH_sI{m4^2O%e=a=QJU&7uqE~@ucYl*t{@XD@AxUMx8$)X+Q)XdV zW;r`Y8$)Ym5h2J)R>(XQ2xMoLSNQ9(yn-y`Cl|^>0B6XSKC`l{p_3J)zAa>n|7oB9 ze-3{#8yo(M+0OnS%>O#V`0FI-UrSy8t7y=ZXwd(s=)ai%6#eVu>3XHG4gA%IXhT0?dD-tSH%%X}KL7muSnm1uQQu9qK>ica%r zQ(rf8vNzN$4z!gPT;3L>P{FY7K3E)JUE8HgJrqHa=M!J@+3uj_p#z&L`$5>5%B}E% zZqHW&_}-sX8r$l+tH1!A$xuRSOo|*{2N2oKq zf*v_}t0iX0c3V1T3ii=+T=vi#9;oY>nyLQX5vG`D_Fpbq9OrYd6R$xSP_nf4I(S=t zP_|ukS%}SI24_R6LjD8aWfd$!)f*A)f|y2>fvwEaHk0SP0k;E~$W@c%Q*6Frd_71D z_{clX+;ffMSv@X9$1=rGDH!Lb_sKz|A2DkfsxkTXKfj-ye6K=g9T&RPURZvU=wzFZ2w@s_&&=qEm!^^|ts6fU==<*F^S?F}Z4Yu%;nUg<=pLH#zPO*)Ng z*Tq}^u55H-4jZPWDwprBwtXYI%~wAb>mNHhMM9!U_|zQlMR)s^3s$Y?8c)ygnbdTe zyf^o1r3ycnHTte^F*Z1TGifs`f?opp>$1h`ss<_~N6ICX5arMJ!#e~ts@S4%qzrC3 zHVPloT?JpQAfBDUy;yBI)^V35xlsg2PK9Up)8?DU)vVW=)#7Ru*hbmb9wIJk_sdU6 zJ>&^ZY)=3!0?+fuN1U;}$Z8+*yc7wAmby9yJ;|9BZ!a}sSHh6AZSAZADQkS6i&~a4F zQZhm-U1vMr%QtO zC0?-X{-A64;=nYl&RQ((gv?DxniMF^uKrlSu-^r>cjGyuYwZM;Ua?nqGv{rsSLe$9 zETvi2So!<>tSIpu9I=`5+)Cp&yQ|qPu4V>GFuH)=x_N-~QP*GU#+hy6qLFQu92`{#R?WvaDq;b`yl3HB5&%w($hOVe-Trt{kt zTe9`esvFOAvPUdWSl{lJWSB&$NYu}FKSp04tI-QRFO$5_fWlxGq#oMLo?G5V9tsGG zfweNEw}zAd`sQ_e5Y;iZ?>qPkk}Ax(#~QMkPWEfW7XNPwa6Bt8@!fI+=ngT6#+fi{ ztGqga#rDWd-MH6e*qJD0LR3HeD-{sKSGZL~&?&n>6`kI%{T+a0N&rG?LFn8r(boZz zK*D@MZkZs9W1ReMnPh1FPKIkD3=#4nzqudGkLbK1`1Uww4qTsOM9APP0$|lwq;!Ic zv!IDSD2Q^{uMz2l@7wd?8Iacrfi1^K!|h>P{9ZUv*mezTL}=U7+jbu`z`Ct5Ekt_R zGaq(89LqQO%_RpQ9s|g_y4~UUDj3Onjb}0V#!*{4QLe@jeJbIib6(W->G1mHxns+( zTJQ$^B!Fr*eCFB_<&HN9#N^4sb8*KQTxGmRCF>B0R}kkTI_A~u2-omSI%d`DEG7u- zEX>3zH>6TC1kbFva0VZ(G|v(?cTl)TaJ))!e3gVZCVU%pYL3O2PgN72sL0P)fGZ3v z%~h@Vs5VKYCB1LXhpRx2JB~2_I>j7>dnS4BJ}<0oL2Oe%S`+6wZaXjHW%1&m0M?r| zLl|)vlQf^gIX+4enY7@!iWJQ*PFg<5IdNczBw^B{Nf5utpK08*NmzZCNc9w>&ChNl z4F>5|A)MR_ybwSLXCaW?Uu#SOS5+B(F*C(E+;)<*Nt&8}DtPocL3+%50xkJ*SjK;G!+qs7d`$ z?I<@g2;cZBX~8FH|8xQNYK+hE=CIOhExpO#98*=XBEi};#XQcsO183yeK_AZJ3c1% zl7eR2~V$F?c@(K{K=1nnnAkTK>OUDMN! z^vmIY;%b}Vf2X3k@5lr594Q;FMS`ln8{6oxnv!7RYUpYI%i>2>3-^Fllp_y_rXHA$D_88sOgV?x}bA-hPVdB)DE za$}O*Vgp4H)q9 zy*(quDqitr6=SiGFRjz7c9N; zOEX8@vH{K1;pqnMZF}^x{@Mn1f$mWwY-%UcvcZc6et|ypYY*G6%=Q$vL$VuD3!C{1 z43;@Ko8|-wh3i`j{@RZ8w!=0JjP>i63w}I~G>1dFko~Z5@tmM+mT`^45xxeRt2O*a zj;qzSd+he1a(e;a1pW1P`?tQjhbK_J0f?viH?qFr%Uf>Oy1vnfCkA9NafT=mtOb(3 z>5xf=uQrTY2x$a9+v+Z;fWqr~sevZ#UbrEZ&KnbAFWVNAcbdl#w|SaS5|f~zOV)|r zP$aQ8?pZ=sPP5bR`8mDFZ2!jd!x5D9g=4F5`9$#rQLEnD^0yPj7u2n)NAI*fqnFB` z?XTa~@Ru|1@89OPq1UfsEChMkzi=dfMrL5+jgXO`dRkkO=GmwI`J`e2s5N=A=a@+)X9rS^)cN8-;I3;pHK zk@Kr0S!t<h?RUYE{Q*hf08kt>|p~B%Q#JT)v%SySWSMZ0UyYC zO?Eo7rOB90_Bw+XW!xsakIv)4RhN%v<5_qIKRI4Z4xWP_WZs@NmAI`$pz4yV_axZo z>9$DQOEUH5HKHYLI_lV{e*@b`>VUot)HGP$@FNM?&394`0 zaA%=`F;K7mq_sNWNa0}G1T0p!Gtv}(__=vEs!92pjUfimP|g&Ftxzi}4d?ql0?8NW zaWO1GgZ77Oldf(3ci88fuYm#$WcNH8L_-Rr@XFI?mZ6`@-V}bcG(VOH>&&9D1`I3A zGAs`w+z9!`XKd)7R^PuQHblM0&|ZBui}2kL@kgL;1@UEv-Yg=`3T3MQq&>n&7Z>L< z{FUr)nxj@fLena$nab&R!niwAyy5RwiW^)_C200>(mqeNY+X5U`mRvPAE)z88A=I{FdYj5OovGEeKIJE%k3ryFfb{Q|eW%p+;k>m#%K zZox5I`iZA<>#B(zCuvGDL)?KZjpyh`JqJ?dZ&TeWGSgsZSs(S~Zgink{k#)_2z4K4 zm0sNTvlG|u*uYJS4b)A>(cIYKus|i@*WIzhOkD{K*Z=itS9_k8}fB%9xx zabduLjdgmXzvXV~g5ab%*|8g{wi&|k!4}3DynCYMOUhnV&B?ba7zRSMZ zq&Mk}?*~?&?PooJz7BA&((rY}n(dJ28laq}n&8ma7rrT0Boi6B*5sYs?O`aGg}g^4ZwP-^&&oIyn0JcwWgy@bLaHa?gJh5ii|97&`Zihp<=ZYwgJPFtf3e_ z!5fcP&GFj~W+Wxe=;T|`2V?HCP(-tu; zEAfRcp5>fUoAPqD>=;zz@0lAg5|$xyN9OxFzF#lTAG`)vk|$fUpd()#pUFF%xHjJw zUbW#NS`U6H-*oIlqL_!ra)2av#nR)anT^J1ah&RL9BwHZ%J*vYrQBvrM7f?bpuh9z6OJnD|B=XjYy&*2v`;vZ}?&7X+egKlEX zL&2RG@|`Gp8dmUYqi@Q~n=BLE-i+6yn&HTdX0TtRD4$XFpfh&XI!}2kj$+zf!crckd#|5Kfwd&Pqie+^>kEi&nH@>`b1<3-V_@9E>#m_ zsS`D6>TtWunFcq%DU3LsF{6=9#87e@+0h-@B%tHJIv>L0{i(cjwLj0b&pxJGh_FaY znn#+^$icth7ImJBic*M{LWKT=cvtIvo*#MD{RdBDLys~2*j>jU-bREo#_>J0iLgkl z!v>_AwMhc@48v&o9Cpp(EJjN&+oU$|UT#wbPo-XQ^b`U*7P6*OgtPGyHpRtw^kiF^ z(XnEi!M=fQ{@8}S>K3$^KMNe_GAH`7)T@(8~+UV6+K*kn)o2o0?wBlb2H9JX0; znIbLvO10_wHiTij+Q1Z5<7BlG@ZK=w=YPSr3cYmd65_#Eg&ygw_n-A}r*ysy$uQ#3 z5`Nlzq^hmdWQx(4&gaEYzrqYetqFY81x{kG=&WlNtZ%W z;TUD1q3q2}F?q&0)eUAhbI;gdVP6y*VYj#8qNYKu_5(WAU{TSnsz0K6lE903>|MJ` zQ?Bw@F)d%#70Z?7T=e?yU;8U{dJenOh5NGIeLmA%t-ktJgI5stY)Ast@cZjR1MHzA zM@`}us=YjJl?a#3&bB5gmye_yX&V@Xyw(m)wvI}l8AqB@QvD7M(bE?s(S#^^Uw=ZS7tzPlZ*WLQn zGz#29>obPbhp3mR3n+}Mvb3s3*BwK6aJ9Y(=k|Z#@l+LbsXl|MaWb>;kD6Wi))UG! zyfB&15`h2pHT74A2xj)vA^a@w^yCH*=yW}xsR2E#N22DsI!$$I`cZy@pU_+U;hT;V zHIHq{Gy+>guvH@~z@gw&+^(^<@^&w4tE>qgbrPvG>b)fGrtd#x!&{^{vXn-1-7Z{ z4BvC^+xLCr_?6hPW5*^jkS7U-Y`Ghd7D7@4B;bHMwu;9FY)L6y>C}-HXy`^&Xw^W~ z3XM){saiBBff>UjHbqmrwrZztY}2&0n=%TTQn3=mTQb=HhEFN%VMp7?3z$nfkg+WMhY&FcR7un^@ph5kB zWA}52%Od0`%hdDY2P(T?MJl;A4e?zO?-YkbEIwmg_`NS_PG$!EaKhI&VNL}6=EMZ! z>u3*5bd0x~6Yw48XD5@7m}A4UeRM>Yol04$)UY`=rjLyc^M$do0d*Z$R&*T?fmug6 zgO$V_yu&cl*XP2KM)wb9lJtn8W)x*3Y*~bjCj^nj&A-8`|NQFI^GE)O{`p*Ib!9W3 zyU~fx?m%&mN6J+X8*%^ido7|-+LNCX4M*E^0qTA%%vhdBo zc78zKrtIQ(DMG>{v%W-K$P<+1GCNdPS6j!pl3%DUvQH&`QBHQLftkTj7=^*_!ekw6dTo^4kOHz7 zz>QIAGS(r*rFdZ;UPCHfKZceqQ>a7$Q z0@>aaFrR^2G+U7-5A;BSNTiOVDALr{+B&Bt9*;s4HMM;i7w`y!}&jy+mN>^8^-g<~DJS4GVTSt!#xT2@)@H5-0e50Us6=7g*E9 z3gsTRr_93&6|6UcY#oG8s*E6y%Zf0`BuXah;CK{e2+v-R*JGEvF|b?{X=*LdoB(bQ zqkp~H|NZm>+j<^8@Xnt636whUlg35e2e2npH=ns$r0l3fyZg*EI7Xq^0i zIGs9w4M~ubCDOX7+hw{Z$CID;w#Ej~x;#=mU*ux94ztNyzhigvxnuc`*Yesil9La? zJDdSJn0WjICQ1GbBTZj(6!HX;u30ptemqJ555Sp0kZO}<-cVVYL0FO%osnehQUs!s zViGkJc>2?1mtw;6UmPted%dLWt%9=kpv5~>FdZG|&ztYPciw{VNG2gbV3w&kA&`f1 zs>CpjY${nQIVyQ7CCL9ylpw6q9ReW^>$mg2i%PLn9wg$2RRqO(q=sE~i$MjivJBF} zbQ0K*C{FH10lmpt+{f6!RiC3V^p6;!fzt zupzl|g~UCmKCZq2RH}>B#Rgl;)o3&I)$AJXLG2-ZSd$dYODU~YzXx}*3q?oj*1oE{ z4&mq65phI1%DyZLHa2vb&*Gye zt@&wR(ht>WGSlvZ@THXqaNx6x@eI@@puxQ36M$+(>eKKev^>E8W&U;<`Z=Rc-vl4L z0Hyu{twLSLRalz=YiAg3`uYjoMP{L~BbUED9ZBgkBPlHluq~xGwNZF#7R=5{6(~yR`yqIkhWHFvPol$N|DMKWI&qDz$lXxs3oA3fSsNG+etgn0^^mF z)rl61Tn7^^W^pu%Bdq`7WH4S>hy7-8BOvnde%WzwkVHv7ySKvs%;}UGk)KuOl%N}pQAM%o%?I)yry-cK<+SBJV z3|$Jv^%tP+xI|4QluQNSL#LWH9|CPSGU3=jY$(RYs(oM7#zN7?|5+oW^N-$tBb%0T!yF3B-chB?o&=aDEu zgEXe}>AyGuf6A)%r))TNr!r+$yWy;Yv%DBm$@Cqq3sly!C_5X2J4LB$5#NeNj^H1R zz5Vd7-|wE$yL5W;m%ZO!H7nBfS9E00NYB9^=NtIkJ#XxI;X<$`*0Vi7h#GhAo2!UZ z+u7!}9d~VdoYbbZ(;spF;NNE&aJiGXkG+rE#y-GtHHkTFs&WClSX>%hRJAbHnOMQ5 z#kIjzGoC2ZqvS<^@Et3Gni7bYK%xYq)D(ry1yEB0@e+W|*PKp*W@zykjx0D7+g-2MZ;$``zwcYmQe&-a9luUoFRh8Jigr@lUEBEW;tSH|$n(*k z@q5HQYH(P~61k@0H+>E>226s8`4qaW)FhU|zIw$8RN~5rKCxxzN@5S-Xv2pbj*GRqK(35ll$6;h7rdq49WpSPnm%NarGD(1Gtf2njMCe0Igmre#0;{O1SmcQU8Mqpuy?pB@LUHf&ti`QVjzvtRrY z{9S5!Va`*lCQMwGuP=&M99X*Yk4u{VvPsynbJP6VWO8}o_>&!LF0ER93n6v?;J=wX z$ci4~s^v7r2D*X0z|tBzSk0}bQuKIs5gw5eGNpxh07tj^f za-lOLC3IdS;*|ilG?}ml!djh1HfpWfMvc;VGwcLT^mZqFyAum>rzq7%12IQ#Q05rYOYBP`Ih-&_3HZEmHN~X33Csj;nmU`A&COSr zFiW`Q>S|^+_nay+DspZLORyrzBF?TtKL|r8H_~ap6{KkBk8F09Wt{L-9K0ZkoX4#w zs-_!;+A~=BCPNruRC9`qYHOa#I>H1)l3_r203Zy8WrM2WQB_0X9FCx>z@{Q|q8OHB zk0i;8gJTVq5oHO+7%qvS3`rCn4wfb1nhZse;T6`W>ptm82bf8O2@aMjd@Os=IWajjOrFa z>g|O^W$#Gq>jiXMB6M3abX#vIP6J|T$bv;-XA!nw#NfGcbB7I^0DIo#EXIO^V1k17 zOfE>evB65Z6C?qP#gf+&&JBqx#uPDYB z6+v^XR`?$)no^YEGeymOQ&D5dcD^(AvbNXv8m|^2$wv5xRDN?v*$;US7j}D37xsED z6~3=tFJvcZAc)vZM(Lp_m~JuYmZL1JN3D<^GU8*3QfWFpW(qxd%(vOO@n_hkcn7zI zyTIM&@5kkelmKX{IFi!Kay`bv*vc3g3ls}g!Y<)eVNhUR6}p5w0wr)LO$9`wC~*Ze zu_{TndVxbZDcD32mO_Bid&tAx#*3anz)qk+KI{%A7C6fSlqM5iP>c`Y2@Az zpF=sk(v2IXsL$eq`Kglhxiq;i4bnPV+mq;xdeq1(j-0h!vXLQMm5sCs*eY?@CmGly zacD6%Y-()+_Dd3)+*Ug7k&|tMVi1=g*&}7>AElBs52YbO2B-RQ|RXv)XZ&Eh90PQiNH8_Z>T=M(o zt~1rECYLY2whSaEZr!jp=a|uQdE3^*b&^BRI}^|s_pV$}_PwTOe{JSGUq9)0n`dmA z;SqRWBd^}>KuSW`T?aenRN--n3qgoqA7K9qGquvOVUm)GB?`wduYLo8cS8jP@O0GrNL+ zR&3E)eCI+}xoi40@4wu)_1oT$b8dtNL*6h`EEao8m@3g?ri*pVGt9M|FX^u&PErNh zMiTx2OiHI35L`y&vI|Hq%hl-G=%Pawik1sw)Mel{5|m-beivg1TXzH=*tmhggL~V5k5rfIvY| z0T?Q9#Q#npgyEqYni?2rUf@Af0B^9m;u|uCP|;plBMrbFXeSrNeS3WTBIEhs(C2SCZ=mHi|N3;?Y zK`Q~5-3ZVwAgFd0?cR=eZ|BhN?GoC(9V7hW2k#7dquxvzdP+tCT%K0CmyX_yzcHhilVnx>7%_mm)Xl>PYD~PHoC!XjSa*vNEbsNMXrXf+PB=# zB3C(iPCTB9GF%r$8N14KVTwN8nIlx`i-dZ;!Cn|!t*+9a(yz+@az^l-fQiFmKr;;> zQd2AhNQzoP2BV~9Bu(?2g-y$|TCGkC&}2E02h<8OaxC7o7^;@cGRWe` zak#$8DYcmKdyJ`LZ4XX4r3@;Um2rhIiJBBqDds81>$FmwPem>pZ%YdAK1!rGyL1w1 zE$vHgj829wXM%;#4RPbh9$#?Q-U66av04npI4>A5hwU#o6KA)b{`SQkPhWVc^#_j} zA1(RSj-5Y0x_j4~dw+W1-r;U6ez$q95Ey9?f@lBuhclPXo@SaYf+|`JoP|NN<(?Zy zv9PdGY>`^%O07-YB0WRfG+&r?L4Iu5c+1$XD8`;Ef`5}n?BOVx8JrWD8Jini5}g}s z4z7zVi>(iSGrB&uOWqY87KRH<Vy38I^FilbzQx$Yl_yx<@iE1_g zG(g-_U@@+d!}S8CCfCH4)RNJmMiVBe;r55-9_Fmn5QnQJH`<=# zPMOJtTX+k_?b{|0Gf`$1vTP;6eLqf=^Cl`jc`|+T#PzXT*#7%P9KiRlseP|(I52ui zX!g%u^_>^q#;e@J{WuQA-j6HCJ|4Skmb`m%Gk$IFyv;|TiiAMIPU$bm#kyB)Q*1;Y ziOh(2k*$#*``^&t)_qaEQtyonL`a0iqcR%L7Ws71Z^Tp_7E*SIh%!>UZETN+JmMw^ z5`}|MmRJyH&d##cOU2^ZE`%c~KNkeS8un&@fg}K`J$znuGzE74r_5bC_>$w7@8m%jHG^2XN;zXUu!f zvrS8;itGc2WYSnxCfR8%X)o65 zZJ8EDiqcxSoi3}@s_n}IsBe*tiLiAQg|mZOVAA7M>^2}I)}iv z3LV}oDHb!-`qG$Rb;6lsMoktJoO7}1dTy)R>5?>rTv(arWzFSf&3#zbTwc~(hrb4D zXQuZqyk~(C9cZMwDr5l(KI#V(gm? zUfT>_+l)vmy*3Z-49jtM5O5r0v6=-+y}ONXH9D-+6x5(KXTL zje*!s>_+d9I zvayBR>m;cX>&25g;kV|vk*w>p{FW_B7#T51u{G77q+X^vJ5KQc#SZT=j>lx6mHgRe z5>Pf+SS)aqdpjCs?}NL;c}b|vB%!RqXzX{X%5Y(?|AxhuHad(&H(QY4CA+=la@63Cn@h%nT6L1i1y<&@@arH}nIA`b{1$@@Vha4ZFGIUB;?0@tUY zKY35mYIcGq+C_V4FCCzl>20bY8mC)nC+&W4>k1vGYMg?{Qivc@S$q*AS(1q=D@h5F zZqh?~$pE=RTd8B!5%E-x3#B2Rhh5|QQ6<$-%map9K07M<@YW@Ss(w|STml(&m2S- zy?P=grLU5Vv{#Z`pCl=S2t*1YtZRa3`-vrK3Ok`DD>2LHf{O0CK&75k)h-RkwK}ay z6E$|C8g?Sh>6f{0lYQ=mq@v}o|K0cFhwzWveekZYDGS!@7m<@7`W_{cIPufx4 z5;haSse-i+&u3*a`%GUhpAkOODEFCaA*KPP5alxhx3IJ08jdtXz*Ye9z5QdGORM8G z)%}^dKU_$zpFe+h_o2YTgJj*kp3_SGPFk`*5ii&XL+ zHasd3rj1nUV^@h1J{_3cwnV$Y0BK1iBws>H;@AI?Sg>ib)?8}n!(e@eQ!P-=Ir1j_K|1Fww|1X2Jw-aq)36q#0(+QGO&8TtUr|vG1pBzJs1}wBeII6m^s&``+*DVCWVlckf;9`_BHJ?|I(m`KV8xYqL(|N+PEdqBS_V z7H>8fnDty`k;A9rxA}YzkOLky+NZ(bf1NO_$5DPQv2IYc6TLz;2t|+`GZY>D$9M~R z>!a~QKjO~beiI!Z-!|4nhkh{L2>bFGe5fUS{qz(^1d0P2ReN8WoYS+dbM-9i9FCE5 zHip}cn+tIVxFL>Ri4Qk8Cd9RIo!kV+Vl@|N#u9j#i3q(PJDUR(8o)7=E>-(4@2GvS zMC~oCEkEWcm@!MTa4|s)05z#yR6TpQc7b>$la_puF5O|>hLw4ypF4Z&!9owU#j$6K zpg*3WoS0@Xz2kJDzzq5zyFzrPW9%?H%zqO2%;etZMol{4FeAKXm^{NoD#~qsuoQM= zihIPyp>rs%xlEkKwv*g#;~!C6N-cEY+eMFjGwUO**n+}kQ8F4kjkce>SAj`W!HGmJ zxieDIobzM#M4LM(FweO45E5g$A|lh4EK5Fb+$Sjp@;Lp)MqP+57+?P!5;EanwQJ&| zOB?s0)ZvzG`$Ipx^y{N1Bf0r)Kkt9M>EW(AHomWZ-G;}{9y>LbpntV_UERLkvHf)4 z_U(`S;-#?ugHVi$J&I( znhu}Kr+TpGLN?VYI9-w}su7>15zi$OwiQ5v1+rroXu>ci` z+Y-Tz5jhlzp%W4Q73(!1T^Tqp?S@9TX$Q6A+JMGt3|-?_2{%Xk6~$uS|2AC0J%&pu zF|@v9u3awNz0nWrPYU80pa2|5K^iE4;El%8 z)pkVLWxHu-?6ZcjM!@}tDkAA>T)U!_I;ZQxnxP4I|UuEn5HeiDkP z(onRh_xTHdL+Xy}FAR;3oayU+uJ7dT?mpU!5_`6de=_#Y^&g`OH>AfvcNK9t)o%O z1#(7AF_bP^c!xbN!6Q&wrlXB8Oo2`={WS7Ye@@L}p;J7R* zE=Dac2bEXLT_WYuqk{sHg{-h%=oDC!Kxh&;v2VMU6#+;=D_q|y8oDnCmc-csgaYif z2rRa+6?tpu8c&R(2Cxf42hnkK1F<2LK`Rl1pwAICMnsJfQDa1Q2$En*1Y`#6$fG0} zAqghN5{Yp|dT2?lhLZL2Jwhyx-5kCXbMx&O#SHPpL~E%$G)}7BTNG8*@1r5mCKRRw zz3$$+z2EuCV9QfOI~rb`p&Z_}{f#4Ax11Pn=Fa`}(MNwa@yhGtU%l{f-Pl)5?>px& zzkm7CUqMTEV=7+67%J4;+52aDk<6k9n`Xbku4cc@Ze?w};@};;)2r}Kig6&3EIuXh zl|2sR2%BEyrNheq&ybU@;>)a3B55|VOlEo_X*fxUF=wrcE2{iIn(&W{Dlkef5KP6#t*eGtvixfl3Cv| z_Gegy%*5x+3A_r`Odz|14g11%{4#z~bWM0;cqhMye>Qs9`^L0CFit*DrUj~(Py0)N zGw5&9w46eMmUHCzoRAZ9QqI}pXyIFg7O_QYarVdi6YfMjnut!F6KxRIicRsR%B_*D z(az}0!Y`%0mHVgdtL_zkE4`lRtvngO5LYXUo+n%^BE=$FEGn%WQg{Z6NU?|(iy(He zSx?2>21g<$32d1e_p{=RVA*N6C5_OGTyS%c4wn1vEPM53jnj_GsI9CDvRn_ua-{1@R>kTU9*nBD_w;>qMI;MH(``cB8sk(esG#@?6XI! z@X+6v&mF8nRqz%VQ3cHdrXdB4z{NjL!Jw)#@~SC`s`UEQK#I@R%F=u?g>VyWoXx5-8o_p<;m2XMtv8!spvp z6i7dU|73jXs3*-BZnY;@l(?@E?7HBg%t*Uu?o7)=V|gGayxH+D-tz&gPiGU;Dh;BJdg^|+}lhB0Sv6x@H-ri>KwD;KA|8igT!BtdO{Os=C z-S>c)_Xx=&FT+P9Awc*DJQErlNmPUogcu?TjZ_pUS^`Q-`L#XnA}KkIx^Xq;4n75 z8VKKBuyobL4I2(0Ig*q;Ze+`gff?UuRhKm==Bk0lhW=;gO$^H~N#wFqVk}NCJxXEN z#*c4Ab#zk74T-F6WazLPvXhhyUsB2tB`IYvl6eqjqDV^S@DMkyVc8XjWIr4l$_5C@ z4;;2YNT%;ltP>8&PB_HrU3S7D`Dqj4PB?+>VTF|LkP@07mS3LS1cyHht82o|;e%l- zEW$%F{jtK~SI9rw|BnBZU-;d^;g1y#zdYGLh)?zN{<2>9Wf$yM<#*!z)Jr}-5nP{K z-tMA;u-yv_?8+g7C@cckB_t-OhUqhWx(_X{7?MT_zF-=0!#iQZdX!+ursvA1$-?7A zf^c{ah&&!^g=?dCf4?*^xN~sufwHnEzuLLGvv_rBZjHLF|8V2f*=6NV)vNh^?{jS= zU41IC;iR!7vEYI)%}4xeJ)Jdy=`X~Zr!OApzb`<(A(;BHo+SWt#=v~KH9!{+Tzo7b zIq|=QT*G0h`7s<+-=n)l4J89}%n|e*y@D1go2d$UeJw*9K}BLeJ%qLGnBNTA#j;qx z5cnfd08{{Bhc^$n7bxdB)*fY9?6HRTk+g=Ye52?=y~66pc{}tTS^@0AxK*5{HY1-_ zW4;%1uL`2+yaqBmjCN`Qe>eVL2HqafMVPl>yclvh&e(4@QYurx0DnC8+3MUkOFKq+ zqQ?3VcljFjECDv*j5|PQ0duh?3G^0Vv(iKLN{`iw|3Rq^=Wk{{Fw>#M*k>dDFN9nM z=5-i{p@#vQ2&4n!)cusN4x?8&}twJC{y30)#7$iV6W%(v!pTLcWkFW05^%{G#_&XdY0>*w3Fw+ zJc$~sU+ku4?L2)2|2<~xz&)13-cy0kX^Q$6nq*|sI{4R2?7tq^gFXK&{b4!XiSs9e zM#Nd^Lz{pGob^}NPHY>@*W+Cm;H)n>9w1*1%*MOa0;^aboIiza&hM^N4CG_&8LU~% z06!#wyR%QS49jD$Ovevf|4FG8YZ_tKQ=kG!W*uBeKXZWpUdKMEfB}pECIe@IR-hWV z5ts{%!`Xy$HR-SL8TL)-AMg#m2R4Lm(r4{E?2+$j$4rZ}7oU@E?5Ao6>AWY$3;Qf| zIpprmF~vUPQt98-((gazd$Lc(C}L0a(rng2#vpvlr5tzAnd4yxI-q*co$%v2_F2}? zrEC}WHE9#XghLDB?wTWG1XLp$4=8d){L#MNVm^V)1P%)}EoI;xn45 zji4$%cvJhxBVYeM*M&OE&p1ep3pmxGdrx0^{8dxKHE4Z%w8o280}K5S<4e6h(BSUPRMHH{K^1c^fApYKRaK^#szy^7?eJsH!*5cR6W7-}D1nZDa$+BO81G$aS;j1DpV4WxX+y0xV;aW4 z1$1j4?)_-2rY^DuoO(Lmt)(`f2D^1skI-r-pY4_T<{UjI>u814&u<){b$TD(9XU|y z+w8<3>n#z=UdL^|Qy);cMM6T_o<@{EB57vj@-uE#2uVmzjC`}bV#F}Ipgmul* z21T?_`UT5YqoIN=%w=T4XXj%L@7E$_ifE`~kG;|sQXahs`!L%Adm72KK=u>8^rF6y zDiK31W-YbgTaXYJZP?=_$Sq`DAQzVPdOO{P_^L;4sz=Tt>Hk$$pVooEBgSFI&hzY^RrY?Xbf}ngo~T zrg0=N)rOou?x4YjQAWag#My!58 zyR<}FBHo}~;$>>!xk#dM+CkjE6TKz#-=;g5ufB_U6IF=<$k)>YVhPn~hv0j^p+RB= z-WqcHlkk%a$e+W$4wTbWrBxudHevjQwV&6?GditGhA5^}V`XTSk_j@~VoJ^(gi?_;2c`MZFj-a>gy!P^5g0l#wpiwB=` zC4M~gG^^{9`4Q9_Ksj%9F}&+x=RBO3CvLL381TgshOv%@nUBygEergSkn_y-G{n;p z%FxLA`_**%cfcf&Z-Jd)^PeLTqy{-#hod>(%D!VOkOo*AHU;u#ILg zL?PA#-ns8M&0rX>;lI}|pNoB0K^0BVcCt?J!K};YMk!@6)C}kvW*NjB5Szb^90BlJ zDW5>I863L|wG-cKK{;iA&>S z)*H88o|{Xqw8j$~IsaJEk2WsOe*;j@`+g64473UBKZe`}(4X7?_b0_dmlVpwij1}BC{-XJ z*s55Hh!kHG1GIE}qcgPC`WEaTRGm8N@N$qkI3SD~b5B3NJ$r6$PDmoko%zi7?w;MV zd-nDF?)RVw`cQwhqJE^^J@l08iSHj@R`D#;>1R2*9lbGmhxpPO&u15!ylces-<5jy zF4112ap2Ch2j90X_wLi#9Vb@iGn0#37q;Ljd#I0AFRT99_(!Ye{$_kE?TQq~N`DH} zzp8gu|BCAS8-368r;dJIVftm`M(){~_lc~BUhqw;vnlggYH+xdv!{^teT=)&Lkj8B zpgtnpMeHgh*6rZjJ%+wcx*vKhj%o4P+U|_)BBq_{^vTA^uMktKEYlKnlpk}h8^b4$)=OOld>#{eRs0x-NJpm)%(YNNbck8ezR%D=qI^w4pi6}`T*wz{y*#o#HjEt z@@~riLaOq&N)_qHfw-CZ2uW+Eu?QD-OGL5l)cQ7?rJ?J*RA?<;}01# za}M62{g<=gJm>>|gSqis>m8D|-%b&A^`7fa36HruA>jeL)N|w-*h;#PbRlPPvEQ3> zd!+oC|4Y$sXgALHiO|4VKEZo2Z1ESGGGlpG<1Uafob&VC-Mn*e_&jI&TsI?yK@Vvp zcHT-1E$8`a>MkSQ7cB_}$V0s6DeAA#7~mfv4o)H-7HI6C-FjIMvnhLtdqnPby2~iu zGtk{D#a7Sun&nE3SN;&{5cA0U4q9P!uMBmk$|xAY`-W?*aW=C?_EVSmlPZ>Ho$>Ol zyG7>nzHQx_WPQPlvOYg8HTgHoYQITVJL}|D^40~vlXZTjH0nFzxT-NR{*Rf;3;LOu zKbLfw)#~`0lb*ozZ>o$VEeTmy*Tv|HvLa{gD z|0Ecr^K1|)(sgClQbe71(9G9`I%i%__Hd!jfB3YHkKuaCr=-+946GsTr^5Owh2=_W zJ$rN>dxbUVuEH}l$zls-!;Pli98+(UUkfAXR|D-dh5K5OC9Q<}+&a0OAJ5De5Ujph}WvQ_3jCLon z$J%m166&g+m4tlNZzr+&Wl6|atxiII^$GgXQMr!#(NX@OB;*e|1^wvgy=NpL|BO!h zcTp1ZFFJ{SbTrNblaN2KlYWd(LjL$>s6ErRp1s@AGhnSPzs$C~E$Vw_Rcm>DuHR_tZEGcT;HNw(5B=sR^KpV7_hy*#E4(zZN$@9l1>+aq7tj5dlzRJRnmbQMIZxn= zM|0lNhWiKknZ8@kZS@?^a=92LXbj`r)L3{CXKrJ+$BcjJMVVsv1NwW9?BLF}%)3mw z>vf-5?9|=gJQMWBR&V8i-fr{xlip-6CV+yRAQ03cMcp0;}EgWO~8r z5UYFwXRu{^G-2w-P^wXEO2n z=Zs0(^k=-rPxldVokb$vVPf}%QV|s3z0Q(l1tqe1YjpnGYw z-Qx?$e-pMu`%(9o=9|4qUdvjW|4XxW}M*+YDUDO=_ ze(a-@O4-$Tl$#ns}Jg0Q?HlQtgr4sJMynNJ~rBCu|~dnNkT8TIwT zx6v@P>C>`)y(_Jk0^>Wa2Dft_;z47z`Gq;^x4S>(s+kjUtdCXyK34s;y8$oS3A*kS z{}$FjTj~|(PPytt_(T#Vn9~;P^E<@2vLYr7m3Z9aag4`>Z#%$u z&&>8YZr{H5>(1lXotIPf-JSJ47xv_Sh}Bn4*l*^?a5O^CC(0ICe8%+|*bJ{&Rw?Y2 zGWP8;X9nvDa_h8P2e)%KRcu=KqT=K1f|6(-a7X$uLMESRe1aL#`U?g}x`;ACdVW z%5UvgeD*q@@*T}ms=mP;DW%50%#ubZbq?_yzrZ&vbFP&0HD);9$6Mh))GwI5AX4PM zi$?ThTqZc1a`tznEOzS{Cs0ph=II4ufR=y3)GxE=VuiNl%;p^buau__QI2QSTc+>u z9+QRYiyUqg-X*MyiIklf{@YoDj)<*WYVw;|C!bRu9GCQKs3&QtN_}Qo8KKYfswJIzLehBRH1CVb?KX8Hd`aj1)3lX# zs(ByfQrwgr9EH=@{`YylgnB!0AiOW{Q1mYIEG|>fTE_cGYPvN@jb8-I!|mSr;r6_P zGTfaay_wUVa1L|5)7~G{N9_VeD_l?dmDHm$O>qv&Si{VQeKrD->9?WQ)Iechr-TP^gz}1L+f{j$I9Ta8lvA&t_ZlOv6FUL2ge~iBe_qv_98;Y|2 zoBRAJnjw($t@3&w|LJzYwf}uHKNoWgjL)}gbNZA1e=;M^$V;)W47q=qxd8uZ@Eye0 z!vYs&GDth_oYx-GreJNSa0gvR<#r55Y)q0L@yqXe1alAPe!D*UJYrLmh>eKz?}Id9@Q$nka|Yl{ zCnnr)4-3RRvm-85|Ce-qw(#kg)s~IxUF- zX5nVia7>|4C=?2XLZMJ76bgkxp-?Ck3WY+UP$(1%g+ifFC=?2XLZMJ76bgkxp-@bK z5#=_}KWG8{geDOuF9qo?BG*<|31z`2%A;RFY9xN!q!jif8i2>h{xz_2$JQv1ZE$QC z>@AM%hP}hFC(%9Z0pw(^98o75b!Jyjv0bqDIkp@26ON7c@aO3W z85E*AJhNe~qpcK$UP*E41Sz_oy5yV1@Di|vY{UDQ%u$P!2zB5wXbs+NLHQIVr5A;c zBKJgr}2>$XOXmGRDa>i({%u{fUSiYMAq zv3O^#5$WhK*2K1KO(l&r(PT8SGumFeYRQI{6?fJ|60x?9mFsTgNoB;6Mw^jJw6#a? zYfEf5;+sG5dq%9&NFi-~XDk(MH`b=wQc)D{Y!Aj0MjR;#X%kuPZmB0^9~12PVdf+66dR?Uz1UdTPb1V_OT zI0xJaM1GlSfH>#@qasBs(R`Mndn1+FG?bl&NaN9pX$)k5Mml5=w18I74SIlE<`Zw? zU=J7qf0rp?t=QUMkG2oDdm%l9b11W{w2snQk(#v1M z-+Bqs!!N#NHbZtXNSIMMbeuY#=I#D2fd$g1(0Z^@;lalZ0}CE4KgV z|9rpy)q6>HXU@)?bLPx<&N;L5ZNC>z_~o|LK?hBK?I&`5eo!X7+tHUEg57=X@?kUI zTyoz1I%oBnyyt)ED`^JH<^&c?1-x>R8yBqJjcy{MieZQMz z{ovsFBhLMHk8>|Sd&qopW-n%Tzw|ey!DFueG<*NaR}UTjVfKeo_>!UjIRe++dfEqf z-TuqSv!d%(EIV`U{%0=vdi_CD&(SQ0Ko1Y;y5QRpzf61j>peyvxcD>c+LMkj^f{F1 zpWEx*`7ckYOMM_nhUuJR7P_8#-{r^LwJ_^;vpapZ>SKu(t08 z<%9YAuIaabO&dGns6F-_vj=s-eB*Zu4;Z%W!2_?`Z_;{N&^!ExfwyMgvSRJvHD58KxSG4pgHv(7d80P%k;0MR{E)bK z>_?xK?!LRv{*QNzJ!$OA>ZbP>|NPlWk6&}(;x(6lT{v;U$zPPTx#dS}zBxz6ClRBA zFFx%%b4cchX^!2ayN|y9s@LR>(;i(mM>%o*A z^En0bi+||7aqPkTkU8J>udP`9z|G%}zWwHbch33hQ(MQ&xAYz`b>n05tY1F9VClRe zefJ(YajyU8ALpJ?UAuas;i&xaqI+Tg)4#jML%jddIoA6nF zKkmnkUFfaPi5xe)rn5*0Ga5=N}z6|I|^NhX2%OrS$>ry)Vwe?rs9aHxo``qzoOk2O^sSj_f4NHD_*jG~@8_{_Y|J9_&I*xlbG5kdG z_9tGu1|9Bt?Yx7o*|V=}&QlAx0QtphFMDnCJ$v4|&(~+#&K^AQ^$p7wU3K=UM>ob! z=$9cE9XDF;D8=r4=0x|tzQP-8k02MJ`C)TrF8^%iTL{paXY!@oM^ z=e-(ibi|L+q-EUN0fR4aJrho^UiXpk(~4!Ae&{#g!5=5>@ihME$@?CpS(Xlc@6*Gt z`fAWet1f%|!|BhSx^(_g33vUS*yS%h^wlLVoz09p;k<{YzjVH3dVltVamT0D7LHpq z)qIF~dhyeb$4eDKDzs8A^K&dXPyFQJ2G%sQBkuK#w$FQ-ngRJgaK z{gfBc4YQwKy{gv}D{i;(>mI&!?L*V%zVMi&d^YG^^3lK}f(1VDx()Y5*&&o4ms|WN%1@0Ik-CTontS!_T0Gng2;*2)kZw~eeEsv*xRq%XZ4)% zM~zzioiO^!OJhVnMHI3k*P(|(8Ye|NOs4kB{F_Ca4OV$YlT|3bxgQv8-u5DYL$?!a zU7L>xpf>*-g2F0OC@GA}6;ky!O@}I%m2TC$9eLT}0Md!zM#S6!qev%gz&i{G+-ZQ} z4#d=n8F3Tf#?A*|wP<#Jq`2mnkiMgN=2mdbm~AH-fa?x$-OzlSKez#Ih03hfJoLa0j!WqN>iqC! zbiYL>_nG|tO$*Dn+HYL?{=AE4QI~f-JneSBde+^aYsVc#{Cv>+rFrihB3bWz@yF|n zbB1_gr;Rn%W^|n1XJ+Q2#}69toN!`J_rb;8|IyX3C`GVC`!+TD?>ds!h z?zknVd@=PNcj3*6w}-J0t~l_f;javuk~s2)vzBk#>zW%@eDLY(k91+kxzCS;#^xWu z2mNyXf{*qz{?JFi+lNu!KY5HeLv-r zr_S5!{uh2hulnT8xvzTHyKa1BKf`f-mzREi_|59{Gsdol@UAgO4Z4iq?e@}n%Nq|* z+>pCo9Wbx=69&63 zx^@I|%lxTFzVg<}Tm8u7OQ>@?WB;5v_vRPYJR8s7X8h<1mtt^S-s|5VYD<3!Q0ZRf zHT{ltUOj5BxsNY+|HtPqk^Xt-KL>wcvJZXh_2Hmka`=6P znO$!zdGx4vy7W@#l!MnU!OvYhp>p*RDfjh^uANAFY~VPAUrg!f4E)x9k@ zPC4bv^><8sclWCCK_eBi{NQ6TfS>TLzWuuhYy!=&%T&1SU2U`9J} z)C_E5=dLY4vl-pA2mSA9PvE4c_Ixq1-^$%}Z@d}3aaj4q{RdyQZm)$;j7@)W?1H~4SWC9@A|(m|M=VC#KMd3{Q9*kwb5^1HYyo= z<(8pe1Yh6#O#ArWZ)(pzal&|d&2uI7{#!o2yS!}rveYs6E<9Cw@Q~U+p0q4}JU`<( z!-0K9eY2=kDR;a+&hq@Ru6M7UvhM!R>NR!*wtQM~$uTD!a@^WUXB4~G|AbF@vG>Z! zx@&i%-x&VbbNl>=<1erJw6LzQ`$hY&pAQFi+vCNBPc9yFP=~3s;MEyloPX4msPW$3 z?=5-Mbwk&Kh0eYEXxy}OU;g2yCCdkW-OFJKe0%nw7p8uffA0Lzo;T2i^}&02ZhUF{ zR^>T&;`m2)RvrXc=D(mkNVn5f+RB6LJB?;zhY<(X1_xSW2Ifc)rb@IE)1!u6Sf5r) zw(1X}hyQE(GvZ33@T|TM`Tdx^*1IzUo}ci>cy0W~K3BfIGCWf~>zd(20x`Y-=DK6_E#df=!7$|pW~?5%J0A2f4%=LNUi ze6sZXp?*5`&E$!P92nSeQ`C#!GAe1f=1rK@`&oLzytn4dH}p?l_vB^IJ&=21&mT3*TKIuSjT4|i`RA)n zU2CXWLgwka4ZY$$%QKPVu#PvzuSO;;>b0Jp^L78@O=jJXBXko|8}`3}T&dd^o|#xP zI3Sf5uby?-=(oQ=Ws}%E*61H6vWN7bP~DEd`4iR%=?3K5ki=l_)awBx!3~{8Bi;c3 z3i#Iq&>8rS8F!^nZFIKffX@HsbhgbPO^V!iId_lu%C3+5oPT>`(uRNTd&ud1`zJ3S zb?BuZ?>w8m)11u?IO66j4vBwG7^ct3ECbWo#_rP@)%B+K&S|$j{EuN5fAsMZV!@2B zZ!uqd+>H33;v;Ef18SObRcWPt@i}KcUH^2-XJ4#4dF|8<&mT)%udA*+<<*Zifcb3U zwBn1$oG^9K(RQU}lBn>x>lO}jpM6~Y&_eOtr#I5bqmR??4!#A*+Mfdu?Pag1(g}tJq zUU~T5L8lZhJO4`cxP8v+^38qwO=?r_ETBOD96A1r9u(-WVOnG-Op73$W`Jd30Dy2k z3KR(GM1kFc^}s}#;9V(DvnBs47U{v4KijnX&KBu{rbXJj*X7HmKmXv%uIo0uqIBJK zzvb08CQs~ck{;V?l5RI7SJ9VU`*B>#o#PnhThrP1}rvO z{CxoSHj4xx(q?>p-sJ8U32R#<;?1jj3rD3#9B|ub8&{nA{+0he^U>4B4LHM+S%{zi zTJSslUF(-uK3zUf^{l&k{6#;`fA#K{K1g16#*jPiz16Oa8~6D^qjdWw@6Ev%MfQK- zx=Zkr7nrY|elPC6ZqUgeOg-|ZIrsLuHM{W8>-Q|jhR&RO(+g`ZeDL*i0Kg{whAA&x z*yzb1T?!1+BQ1lJ9cmi9*&sc5Z|BuVAMpLCB?Z$b%hqL9&QH9B_YLj+#>=1VcHk_r zH2aV*3e4y3yKk-?gHGQ2zS>Rv15xpD^P%=7Q_=m`J^9Ycr%!#`vFX4GyPXD)zqtnm z`fC6itf#j^toD?Kpq*y0G6NV1#sOABaI_OejZKUMqr05Zwu9IRIGyjmwa6ZE<>(qzww;%Zt#bfJ0J93*?7>QpM45__Jn`#`|Z{L>-uTN`)#V#+e=hmM zbZ1kAu=mDZ`S1T6{{E_X?YyP<&5vAj+p0y=XT7j?Y09(4M6P(uo$IXJHTCd8&R1^} z`rLIKT^x+5uguy1kk2~%-8T?je6Rnmg^qszm=m~l$)I!kGwq?Ox}3Z`k$WfODwo(%<6ut4nE_!%<_#(sOgR9V`TXB)4u*{ll_6O{w4i% z$XGDPoo`?V?yOPhUqjvKPN*B}L|_aBYkm}XaLgST+G#TAu?~Ql5ERFDF~_x9(ru12 z{LNMBqZPYUDK!4tZufoMXU2NC>#Ku9Chu}|7C2=3UH+VVPHqeyZ#7~3MRV@HvUJm> zFPf@>3FZ06JYc!8-;u-h*%_8=b$jk#J9ovJ`}!`KJ{tdyJLI;HQ}4N-KKaxc2QOS< zl=pq@x!1lMRktRp7eBto3by|<>-%4}-@M9^3;X}Oa>@9wMaI@krxGGG11j4v0?7{3Hwd*~NIt^Cs^ou5xIue<() z`|o`5L(}7`f5Y9QaK0YTD}8 zrQI(|eLQI*yW5`2CU5F}dhF~4`(HTf`-cu2XnuHJVr4PveqT zrH#33>krSmVB+n*=`&v2`<*+E|8UP0Kfk#0Ab$AxBl4lcA0IN~!f}ps&O(I?i}CD5 z_fPr9Q*q|}1D9OzqwDogXWyRh8a4QP*K;R4c-Qq;?|b3{m6JdEXaAS1;>rDAJ@DdJ z9$m8ZQo~6%tf~Hd)c)4F>#Xn%5c~8sBUjz_xOxA%SA71Q{mdBr=zX7!xsF<1p}#w1 zpS1fPvWb=i7$a4;9rM5_4YG!zq{*a;MP9l8n$l_3ia1eH-JOigC-cD zB{Kj^O@m|x3T1$?P9u&t4U!q(C2B(dj;I?Lq?<>s93Gr<_<}3K(0=dzd{hczi1k-G zW?cExkKet;kG^NlV9RB|GdXVTmm7~T0?*{dwik{+21(r2`$Fxyq2Be&zgr0`($Q=C zRff;&I@3NRjvev+7K>!aDdC|gaBCmbc5B}>@D;y0>+KT~pKi5Cqk%FIT zQ*62>*SuV7`2kY5oI3roRby8kuu}PCA$HAf^w;P+ANHQOep*H>O`A9JWO&%VUmUp4 zvi^}9sym4b;rp!{^=|$&=*t;D_to#V#58_Y4+`|xP&e>c@1Q^?xYG<+JVJ$K0ov0{6!C6Gi%@@!!LX1;^nqkM=w};=W+1B^_~Ye`sWPMEmbUs z1ja6Y`|#_+^pqDqeEPD*f6*j8bK93o`X>4;da*wDslKOQJaheNpIZoHTd@<*~3tnE3RR>4pgVzP;e26{t_WJAQ zz8`Bma+dt1Z`1x0cKhfg_N1LP3j1rQ8`}wWBfu5eMBOGZ*8$B!Oh(`V0RJ}qOZr`@ zRI4RhQTN{`TKd9LU(?s!*z?wRkC}YcCM*5rF$WPpo$

i#~ZJr!#QgvyOn6tJuKH>T)0Q}kOPNjr_|5A5}&&K1<%#^K_}jG_*(oQ%RX2p z+6`_1Jau2j~@hm7(n z=QeTf^V7T5^dQ5(hI6qUaju~q?1F()5Yr=DgI%y52+_2wU@5i(%>6G0OSkjo^c3#; zI)`3$+WTYn9`8H!zR9!ItM(iHz|G(Nc-gdnWjB%R2M4}(!-zHH0SoSlf_T@{jfZDV zCq}Qj2X)RKE8hUdySi>9RGaq!1pc*9Y-wITlRhZ;uZUEy6bHV25{~@ zd*&YUE*e=_HupjPd3^3YtM@qQ=r<;%ZrgoN|K$4B6HnOfx@-H_hjPXNO`MA{Y2ng-uu+P^qSpummy!Syl9`(Z@7=Y{mH?5S#G@RiLKt{^~v$; zd(fZ1hI0X;-F{XvY>s!qAj}S87hA$zupXEK{jPk0z;1L~CjH&RUB4XpQxD-T|Cz6R zH|5ev4(Iq)*B`q$Sh>;l!klZr6^~frU3WDy`Ns*!x&=24e0k-8-z@zufA*bwKsQIa>PNJk z%in%}-m=uGl05&^JJLE8Jy&X8h)Gm;d~|-wd31qJ$@$3m9|msW+FES zzkqiUWE*YCn2FP#c0HQYm^7m?+tO!7jje$!9D&n1ST4&KMi2Yf6VD9m;M1dr#V}e= zD^@PYI~yt&YIwt`hLAF+hm9T6Z&arcC5>D1QeC}mY_JtdujIFXY;&RGe9J7K7& zdVoD!D;7$fE#`ElWC^M<3aF(2wMq_`l-+g3EW}IMU#m{jyRIxrJ=QE~L2esEdu(qh z+|0e&lEVdxAKg>8OBz`LoZKv#-$97105t^`tG5mca!%swJ*zP(}~iVo|nQ z=yvJNb()F~EMixcPiwg`1`KbpsN1D&t=d|zDZN&STr2N(3~XpKw)?eRRokr0Za?YR z_O#6xcU6y5Mglbc-ER@xTCjVi-}xCbfsO{U1P8iH zRLNkw%Y-XP1n3~>8c8s%-aCnA?*gFE)}Mf#sJa}0Elw*TfbM~NS(k0ca&3YE!U}o| z_>yv21F{DcwSouOh-|aq=#S;?cS{FYBxV7K(}rmynVzfo*<>M=fH^jIy3Kjh`yWVV)$2-R$>%kF&A?%>lx+8#knMPH*@&nhi~ zdY!+KbB6?t4o5J5P)sLcQH71$VJ;2_#iW#$nV6!o4!F!3eyjT}f;yY%j>SZbPfAKT zRY>9)q39D7hA9*&saVA8np)IVfY+6%0yQD5WK+d#Cc+#+i$;4q(fv=0;11We|C%#a zv!1h+&peqG9sWm^P; zeuo9~lpVHAJnV6lqWT!`t+0H|M~kvPC`EC(;i^R&=B(Kijk=(Q6QXgWsqD=dDk6_L ziq42!G1nlOR>I*HLDcKlR0;R8IhiV%Yc5mBXv#%QfrdL!R9L%?^A{}XM8#}}0wKf> zCADc2>P{fwd*c9SJ%5;=vO{l*?IYh)KdofCA8;3yN4~9etr)4GWCFB$* zP*54=A=Vf&TPnN?H^QvM;d&e{Cs7+4Zd7aax}g!pf@M4>1z@XG6!ZvDi;`%u)k32^ zQmaJ`RQdP+u_1+EMyW;JUYiKhc&dU&guGPo$6EvoLB&NTBdAKFc_(S&eH1~3!j({k zlPDRFaX!B>h?p#bTy--TW^qcgS|r_GKTJA3wwx#8jgm#h>ssH%y& zLK)LwuP++%#mp3&PU*Q8!Bo_ZS3(Zd)u7^3nlIWxG7aG@WT3o1l`$2NT9jb4l;&)B z8CHmz#fDFB@}z@mO3Aa%imHc-sVrlyguMkc&?2bl{TLrL)WJ5Es@@(;L|qnp7{>En zZ!rP8@qD08%Ld6Ar_&8!T8a`TspeuqZ?nfLDv6j7)Mk%oV(to7sXAH&sj{vV&NMPv zI+`{oBuIjYL@{fQo2oG`Z?NIHVzjPl$(rWKH)tyB^|(qAMo+liNhBIH7VJ^6fXRBv ztjWf z-eicF7(J@OwP*}>HVU#sGT?E$xd>})wGNxzh!93~bVhaN!p69Rk3`a$ z5&;p2iAb5Mc5}$5C5lp*sTjd%tk}TRX3sbnw>y!H3cNrh-6UF4sdP0EECuztwyt=d4D2;DPwW0-pgyU_S;PHAPWQ$%AZeVx=zM{ch;61Gt7Oezh zbSCmN5>6I9MJ=sxF4k?cC+%^YFA(rnEmB<+ORO)SQ*fWrrMU|d=SAT>nhW^IybTR; zg@h4P%t3S8V(SgOUk=k{IYEU@;i&9)6ylWA!`7l!yfxOUwpyX=*EPplPK%XdVm_hj z{c${9s++wc@O;3A0-Y<>6t-<`bZLhR&8sM;g(W-d_uImfSr3;K#YR;W!sH4@d54qK z>V{YrQR8e?SMUalnIb3Zoq9J!pp2U#g(BflVYNL{oSKFhlX+jNxZMlVr^4MdvSQcZEtPphu(4vA=Fh|v`>hf`&5XTK>H5pH(ks=+@(K7 zJlm)+S-Og}u??a`Lq%RoL9Rx?%wlTMQH%>hC~k*R1~Tq2poSV8LOC2fs^s?MltMHc zFV;=Ln#-r7WDWtgF~vbty25B|tA#ZLtQK=lr_&YH_`2$3D+B}QT$uu{q{{(sI9#Hm z0pR><3kLyd68j3E%(K%5X^&1CE`BOVlZf0z&I zTLg`;Ll;A3Lo6Q&7d@n>hzcaI2C@a^d~C%@L`(&#Uf>O3f6yFE5rmo1Lk%4Oz)IC( z@a5p3qv4XVfSDrna*LoXt|4}RwGkB}aoJTb#VS==@F*3X$p{ht=8S~-fw@ytC3}vk zWD=RMfLiM?7LLSRaafN^a!!e(d9%BbZu78|P}AUUl6SL|Ay<#-Ey+j@2q5GLR{30% z&TI8#-2(pPBLy{1XCkOYpK1h|syP;|`Bd2viKwu%f;6Hbd#ifZ$U( zwTA0Sy;Sr$~(c^{S;v6a1JxfK{3~0=K#>8S@^U%EifWI9EsuV5kIL6^k`g z%vddP-V(0>5hua`E&D39G{YGjG@EEhF1`+qT~=KAh=RM(q9;L6(+$1+ALI zQ9?B`kR+7t(MZ6c1SKvm)dU-Cx04yt7%4KQ3L{06bdX2Tbil3fR|5qT2}L^m}imC|G2q%54UPp3b6nKtu z=^ZDhcwBbp45k#YwrLqA%q@Z*o6%qmgv275motex5U)gWVc0<<3|`F%n4ouIEa9wV z8zDQbc?m;ZSGSNpC@%?h6H?TC{*a2r5IN>IwVfC!F4mwbk#KFL zrBbDurHm4t3RP`d-C8LZNx>>XVOEubpu=|67q2G5nYyAA1u743QJX-G1Hhr0s_=rD zmU2255mn+yBUL5reh+31g)?pe5;e(7nTd3z*093Wv}TBe>K<>*Xf{xCJen~Pc@ZhJ zx(qq2VTiW?15*wK**Y05+TCD38!bAeYQgMIuxd)sm%I%YAvlEhQ|@F$q{@jh0dW*= zj|Gf{N+hWPUXX01MbL{IT|rOMh6ht&zbjuMO*T4a;ZwyJ5s`9!OCb(|2<43am0xnW&Xxn; zK@F_4{6SACy4A{uYOphm$_gozWg(q3<^|O!yP%98w)m)`zO3Le6H9sONHM6zf+5OW z){zc@B={CVK8uCrhE##;1mp__GF4x^23u^ohCUK1XEQ;$5yvr$Dd(!-^%QBsJRYaw zss%%MK}onlAc)MGEjS->z?3c1A_#y{T8WjIc+p&BRj^R>;TkM(_Cnsv(L&hn4CY`P zRh0v&XoU4dJXVSV>j;d`r<0g2MB~}K*#t$v%2CzY7@HGmC4!_Z796UOkeah77CSFk z{5syr$Q75rfETk+HdS{q*<7_G@g$Gi%%lr(A%YWf!J!O{Hed^df@@-{g-#V9DN2sS z!HkAynlvRJXlFJ;v88lW--y^~kHeTN=UHDu%?1FjPGFWwHN%H%UN7z>M12Nm2kgm1 z`8J%hKs8_79%UFiSdtcSn;_Ta5-rhSM~#!ieMu;5=x5>IiFDKW~Wby)dfcxZNz=1 z=0XdOgZTt0fL3J%fNNY}dI)-;bOpwp?PY~Ot{7@jmpP;73}rTnVkiujEfLl2Ky6gL zkjQ3X3vM1k*@OqS*scBqR;06XC4{<(nw_c(Vjx73`4r~}urYwywE|QLW-_Lh zP?9i&(LuCWL`Z*;;uLemM6mTpG7@uyfbTJ(6k~-Lk5q~x)u`oUIOQ=VqP(@971Fkv z#f;mk4F*k_a~KlATLeQuY2+}TVUQpQ2B1V0EV8t$IY|f&&6JEtvdyRJ-MHQtO`5Bi zLvZC?cClVkGf98g%NXH`Jrd^9c3r_9@wN!^s-@C!L!LsU;?)59G%7l+B7;xXxD#f8 zKd7FmD3~WLiUy8`KS#lq@!FpQPdZUvb9LqodH`S0T6e@UC@+703qsf-BK$@JywxJ z!get43y_e3h-DE4yz3!Tm=u1L9$GV6(U;A0zY%CW@|W-N+6P#z+xIF>y+J%7OQDd2Ec;! z=X3=&Bc7{ynG};MLP1GtROLz-_j_u#G;OLO z-axqsnNnpFFa|VPfJhr(q?(8b%u-n^3)xI=PdXgXt1W^$M=~bmE3B$z{EXzt#GH0R z0*hmzx*bcDDVlKUDL%)dB4!hOsA_Q38mVlwWU5g?H=3>6Lgq+8C^bAuhp+7j3d#m= zrOpXqAHi4(5q~hmp%w*As^%~c&V#WPZ6z>KT7jF~B%)59l5KUu>k}DknW-VwI9Nop zeu(3B&DOVCh=Ul0oA=uzAtP`yDX{`;57qn)60Yh!ip_(kRKk*s#S0KB;mFIH(f-o zC)s2?iknJAFyaN)h;$p0b(JutIIAh-P%AOT?t@c$U8{u|XAmr~IhMEEy`@^gw{>=o z*C9JsV^}1t_+c>sDX$wlphRA9s{$GCt(!QZ63n@f`Fp+nCh0u zh_74>(y%vg_QeWeu~t)Ef?RV(VVg(qi;xj4l_dCTxk?ujMbRKBnLKcCGHAIH*9>J+ z*PccLDWW2~Je)_!CY)%t5oI&wFo4)mXQ<(JP#WwH*xW%rR4o8cr5wQ(t3%PCYAmKB z;tl`}G%{wc3Z_Il5RA0C9HoHMAM#L2(3O(Nnnx&NcBu)VoKUSfITEgFAY%f}jgqB` zJ5=GR1PF%2DBv83N#Srg7mJ0Qdc>wxt!;cL2FR2XqmZhkWpZ*R<5jYCy$LFsEN)+& z$Z7$Pm}s~ZQE9|nPL!8{2hyie1zO?~5!B%iJB-P&lClMrh&k74Va3#tiZE&P=wtbs zth+bpla@nr7Za(%wQ!j zzu)O%LAFFL-gfuVMHv@p9FFAE>7r8wOB53vQ|)%#Q^KP)%}3XqNnb5$sXI7_PLN^< zmvp;iy(Ld4pw=&L$c%vB909iownM3iLMZl#I=z1?a_oiz*Lz!@n>nvT;fdP$enH=C+2&B>SW-xek*GoE z%3EzAE5R`~!Bp2pyg|*KP?EBnWs+?@%ojk=EY^?{I-4Wt%nM?~6b2rQT+R$4uStI` zqzCbdvOcc(C8!Q%;`LZM3so&_CF#O2R8C+nM@G*wiI}O>j_VPEuI`RmfwE*uup=na zVkws=xe$Zs6h^cq!;P3EG>~+|k@wnIPGM_08MOxrUd2bjc+?k6$~t#}@jBABc5uN+ z*yVa4q__}!Fv2E^IXi=DMjmr%id&Qf5Lj{~@QB$<${Z^*aM&Ixlz~=MD;}|+x|+^e zvn?89ycWjShQw5*E`g5b@p?q(b~(Kn7I^wRIb9MGBrFU2uxz;!%ju&~7!JxdryCDf zTnRCfb0!4MMcMLTnVom#avp~})pqx}DO zT>=CEf~R%hyNmz@gGJUz#=Q<)(kN1}WiYrw>2++*qiRVdNCV)QR$VI0_yvo;?d}We zd@L192&qD_sy78#4RoW9n`@?2xaM)%oK8n64wkS~UiL{$!Djm;mu#4uemO;_dQ84}&cidRrIzD?uAA{%x|~x2=`;X5 zItLr`#cFJ$r1^tIvtZPNXkWao*aW2pN{S_Aq^XFk5ftZEr7|4wmW@Wgt0?FiWLf~B zbCPs4LqJA*j6e#Q9TE#%Oz+iFIP3P<*-)(!Lz#99%b`TW=5WbkM5jdDPO>N$frBoG!U_BSsPeOurUiq zlU9$N)Itn^kVUGHk?CkO)eOv+q99t5HDz@%ZwBV{FdOwG71dD7a}EnEq%BneaRI{v zFleA{U^7Bk7uOo8Mm!3$aT0F0DR%@}*SuT<;4D&{jWQC1BG=xCDN95uB*Lr=8kCAQ5A*p({uIzK}|q z1d3E^E_*m8)%DR}R0KfGf>(zQlrbDnJqPoa{U<0}S zj%p)~bA*D0V@X?$l0-z$he#4uDn@2NI%~*1UKr!2*wdxRDQXQZ4Co z#fq3k3p=+@9@#P7Wc#}<#Rizdzj=wjnR~!nxg}PeEb5aC2xgErV;wk)B_1^tfwP!G zqKXGslEGLdlCFX@3criuVvR(LpgR?-Yl^74+y)CSP+=oMVo|AXsi!?TmyY##k|E$R zHbIp}B;ofv(Hg!$LMQ06fE8&epjXlTz$qB$*W z0O=ShG?i7bOf(U$QRxC3;=@8PU?zN+DwxWF2#nGZRcp0S6tlUQCu49THm_Imig-R$ zD^e6Nc7HrWqeXB_ng;7L<#Txf{3qG0Ov(rn-6C{DAW2ss09<`hw`$OfdCCV?FJ3DX z2xpCsO2lnU$RPZRniHlXSgW)MnpHMlEtF9M<29x&ZnsNS%vwlxy6hZkOs1W505zFC zq^v`9a<$yBB*6ldhoYDc&X@$9&l-z}wAb&TXebnI5d>NZ(3iz!0@%6{1c3sN*9|i; z9D}_u>jwBq;9NZCh*`=J76b!g(TK+rVQDSuPk@MjDP0#pzLYiS&g8{5L6NG3%2t0c zZx2Kx`694ug@i7dw!;>;v&3c*Cg@8ju`HOnt#yxCae({|nlffVsI!u0qJEE?%n5V} z%piHPotdWEeSxADtb$*C-QY{)Y6|cS3Z67m!x()%=Jx1}cE#L#~Tu!6Ni)Mj#4S&zXDLi$P@!2;`orAfpWj;E7Cpq#G< zHLqP~0`6Rn&U0cT9d}kMbvH(M;zp1F=HL<)9SH4txH9fd;NcXIM=Gi%xRMLWw|K}n z;aH5p8Qe-6gEZm*X)eV|C>t+RXtCfI<0e_P)xkunnb{niiF)dcL36Y2gr^vd@#$nT zPbb|3?{0`iLwgmVnPrGfo1#ernF8Kxv1rjV_jrF>Q#RN4sXW*Z1F*K7DmS-!xNKv}Wj@`7V7!ZW}6_st1+2Q^+5?d8wn{c`%{nqZEE+*9+c4JBm(37V4z>c6T*S0lzTeg0?z+X_0CjD;JfBhNN99P(J^99m{ znzwAeXt$(Q>eq>sSb`l%e)0t*Z_-F11} zyHw#;AG%%GxulaRMfnoXid^?M*pCUTWo~QbUn#RIV!jHeDk|8ZHO9_}rJhJ_E3q>j znyEEA5aJu$@3ewISHVueuId;Jybl7yVMB8Wx36p?-`45oRj{9_6ElN%ZM7!3_LZK> zl?%K!##Kn=z?<_o6Kq}DR(30sy0y8RMQ=_3P5w8x7xuJU%fe*4m2O++*2M6~?LXM) z2sQ&2wC3puV>Ta)&}{T}*S9si{j4@iwiIcfz0j`Qz3S%czg0QKjR|tuvdF00R|eO2 zUA4I#ZH!Oh3LVW)-7B~5{CZ`eWzD^x;NSrA2Nb~N>)y?Jm94Mrr`)BT&}5}XJE-oIJQB7(i|J(p@< z-M+zFJKtj`w{Rd-1u3$*)+rf(kO#lh&TQrz7}buhZ1aGRmc(uCJ+U3_$9J@z-)eC8 zLOTk+$=YpnT8h4Tvt*m{ud05lQtK2CW+$W4Zr>KEZO_83_u3!+jG5U=qTTXRi`^|2 z#ByNZZ0>Wn%RO{@2O5%`24=%y*<82v^|xzjO^e|V`oNC4(B_)0OTS%H1pp7ch-P!8 z=C|LjlU2DUeBD~B{r$J=v0@o)Io?{W_4QY4^*k1~atnO;e^+9g2VhH^{`L~vGBW;% zytdT&L(F*^gFg`kh%_ZIchP1Y+{Qr;TwPhaszbvwCg8n};$Q(^e|GzTKw%Dpa zGRXeVNvw@s|2GEN|AzwGCg;E3OlASF=>PH<+al&aWE20+0^7Ru``;L5+gSNWEaU$z zsf~usNQYxII1j@z8r`zm`P;*M(C9z0FhhVBuceuPXuxgd%HPaDjy8Z(a2%rzCLlRv z^Glby{`Qgsjs6poGnoF2rx(7G$whT!V$R3vd_x&ENqgvQ8!1D_53gn6>a3m=FlPuHWy5s;$?A}SCqm^QOOPMj1gZ3lS=X87CV0; z%A~MTv~f!__LRm1LoRg?Bms)2tL)UGjUD+)v{#*u49^|vXE`sUW49+Vx=t(F$Wao^ z3~YRoByJ*5kIpL#hO6`mP&&0}V@FnJQfqaki<;G=^RhbQ?s{Za$6C=w4q@fh2#pv) zj-xO2nmNs$;rBUpnfoc1YTm`V+<8wdfx`Cj;)fQB~SPE%t9Vxv= zs5-4^BZtPz*64CFx?tiLHAxj?D;yTxcUQI#!A{ZV6gJW5s~Lxhqo-4uke^mwrQ!a z1u2QU=h2VOt0;xn|3yY;SS{Mvp))6}&J65YkIBQC>M9rKOB^OH)8~%7(~CNKXrm2! zNM(W^uU)D)y-uMbdYt=|*&gdf9X*qS9t?0gD%~BEes-KIm#|}V6`^CTXd_ozv!f(t z5zL)k>72WSn_mi(m7U-{!bTLBbA~={4K2UewVmY#P&0O;PFM zZvF5Ihd~6-ucnCAqK+Na6j4c0I4gF3B}HtkqPdQ>qK+I@@=*aTS7_@uIu80IM(0;Q z%UaP!uCnfOGuH(()m1*u(sQD7O3}uRrn!{XS%b-@cujI#y)5#S#wq0>ZoBr8;r%q) zxasA6R9@VV!)F_guXcK&?NY9q#pe}=Zf+l$9SdS#3DSlzPBFCkOjujQTq9$@$=U~# z`*j1A%rH(y^o4gq2YuiF_bpZPtla$oQFb^$rsQZbL{BJ(iNuV=;B~HY;Q}hPA%QOR*w)EG47IV(RD( zHmlQAxoY?04P%cP!$TF(V<{Ou7Sl#A!BbJTqQ|aI;}{CPZm1G^os@`PC#H@b3VJ|~ z%6f1Nh8_=9M31Fp^jJ(Cy^N~qaD?q;!Ni>1P(}3k0%i1A>>zrIGl^(85K$7-f7@x7 zAqX<3SWtNsJt&xPvAO!toi`Vd*Z>+3wJus{1FnGOARG7&*+r9V>Va*Zst6|Efl;>@ zB=FGd$p;>*MH@S8vS{y_L)$TnpH-Kz>z=w08J^zAf!HPXmWwN-)w@i;T|E;om&saD zYIOy{CpeQNB;OBdz7>N)=^#CI@xpPsIEQA*?#M&u5F#{IdfFk9_4JmbyU~3PWGJH zr>>LXyXPk~<6EvHbU_}y`tQ}daSyLn>t?xlu&*9J{?kjNII_Qo!*hy9&~~v#yTQ}? z!uE!ZjY&IDT{+KS+Uf6T9{Ihow zM;Q+M6BT)$=8=8F{-7y%l}Ge4`o!mQ?7j2txyq!tMdNepW`X9Ajny6XG|kR`s(&BO zCNnf3ttMrh*I9izpU&o0Tu;g>yR3_%o{opJDv#r`s3w<{$!e2L=F_68r&%_OyZ`_I literal 0 HcmV?d00001 diff --git a/paper/paper.md b/paper/paper.md index 091f1f43..0f0bb4bd 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -34,7 +34,9 @@ The basic algorithm can be described by the quadrature estimate of dynamically e # Statement of need -Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009] in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty [@speagleDYNESTYDynamicNested2020] created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in Figure 1. +Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009] in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty [@speagleDYNESTYDynamicNested2020] created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in \autoref{fig:diagram}. + +![A diagram showing the two sampling steps in the nested sampling algorithm. The axes represent the parameters, in this example there are two dimensions. The blue contours show the likelihood and the black points are live points. In the proposal algorithms, the dead point is gray with a dashed circle, proposed points outside the likelihood constraint are shown as gray crosses, and the accepted point is black.\label{fig:diagram}}](nested-sampling-diagram.pdf) NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezansonJuliaFreshApproach2017] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entry points for using our nested samplers in various programming contexts. From e854f7014b3ec36de9cbd644bebbed6d2f3939f9 Mon Sep 17 00:00:00 2001 From: Miles Lucas Date: Thu, 13 Jan 2022 13:42:15 -1000 Subject: [PATCH 10/10] fix typo --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 0f0bb4bd..2338bafa 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -36,7 +36,7 @@ The basic algorithm can be described by the quadrature estimate of dynamically e Nested sampling has grown immensely in popularity, due in part to its "black-box" nature, as well as the popularity of codes like MultiNest [@ferozMultimodalNestedSampling2008; @ferozMULTINESTEfficientRobust2009] in the astronomical community, where high-dimensional, multi-modal problems are commonplace. Recently, dynesty [@speagleDYNESTYDynamicNested2020] created an API which fully separates two independent steps of the nested sampling algorithm. These steps are, first: describing the statistical distribution of the live points, then second: likelihood-constrained sampling for replacing live points. This process is shown schematically in \autoref{fig:diagram}. -![A diagram showing the two sampling steps in the nested sampling algorithm. The axes represent the parameters, in this example there are two dimensions. The blue contours show the likelihood and the black points are live points. In the proposal algorithms, the dead point is gray with a dashed circle, proposed points outside the likelihood constraint are shown as gray crosses, and the accepted point is black.\label{fig:diagram}}](nested-sampling-diagram.pdf) +![A diagram showing the two sampling steps in the nested sampling algorithm. The axes represent the parameters, in this example there are two dimensions. The blue contours show the likelihood and the black points are live points. In the proposal algorithms, the dead point is gray with a dashed circle, proposed points outside the likelihood constraint are shown as gray crosses, and the accepted point is black.\label{fig:diagram}](nested-sampling-diagram.pdf) NestedSamplers.jl mimics the API of dynesty by separating the independent steps of the nested sampling algorithm. Our library heavily utilizes multiple-dispatch enabled by the Julia programming language [@bezansonJuliaFreshApproach2017] to enable a highly-expressive, composable, and efficient nested sampling library. Multiple-dispatch allows fully encapsulating the independent components of the algorithm, in other words, the code specific to each bounding distribution and proposal algorithm is never repeated, and it comes with no performance loss thanks to the just-in-time compilation of Julia code. In addition, NestedSamplers.jl incorporates the AbstractMCMC.jl interface, which is an extensible interface for statistical sampling which enables entry points for using our nested samplers in various programming contexts.