LD pruning
Before running PCA, we use LD pruning to select a set of independent SNPs for analysis. We use the snpgdsLDpruning
in the SNPRelate package, which returns a list of snp IDs.
library(SNPRelate)
# read in GDS data
gds <- snpgdsOpen(gdsfile)
snpset <- snpgdsLDpruning(gds, method="corr", slide.max.bp=10e6,
ld.threshold=sqrt(0.1), verbose=FALSE)
pruned <- unlist(snpset, use.names=FALSE)
length(pruned)
## [1] 3826
head(pruned)
## [1] 6 7 15 17 22 31
snpgdsClose(gds)
Pairwise Measures of Ancestry Divergence
It is possible to identify a subset of mutually unrelated individuals in a sample based solely on pairwise measures of genetic relatedness (i.e. kinship coefficients). However, in order to obtain accurate population structure inference for the entire sample, it is important that the ancestries of all individuals in the sample are represented by at least one individual in this subset. In order to identify a mutually unrelated and ancestry representative subset of individuals, PC-AiR also utilizes measures of ancestry divergence. These measures are calculated using the KING-robust kinship coefficient estimator (Manichaikul et al., 2010), which provides systematically negative estimates for unrelated pairs of individuals with different ancestry. The number of negative pairwise estimates that an individual has provides information regarding how different that individual’s ancestry is from the rest of the sample, which helps to prioritize individuals that should be kept in the ancestry representative subset.
The relevant output from the KING software is two text files with the file extensions .kin0 and .kin. The kingToMatrix
function can be used to extract the kinship coefficients (which we use as divergence measures) from this output and create a matrix usable by the *[GENESIS](https://bioconductor.org/packages/3.9/GENESIS)*
functions.
# create matrix of KING estimates
library(GENESIS)
KINGmat <- kingToMatrix(
c(system.file("extdata", "MXL_ASW.kin0", package="GENESIS"),
system.file("extdata", "MXL_ASW.kin", package="GENESIS")))
KINGmat[1:5,1:5]
## 5 x 5 Matrix of class "dsyMatrix"
## NA19625 NA19649 NA19650 NA19651 NA19652
## NA19625 0.5000 -0.0761 -0.0656 -0.0497 -0.0486
## NA19649 -0.0761 0.5000 0.2513 -0.0187 -0.0141
## NA19650 -0.0656 0.2513 0.5000 -0.0037 -0.0033
## NA19651 -0.0497 -0.0187 -0.0037 0.5000 0.0112
## NA19652 -0.0486 -0.0141 -0.0033 0.0112 0.5000
The column and row names of the matrix are the individual IDs, and each off-diagonal entry is the KING-robust estimate for the specified pair of individuals.
Alternative to running the KING software, the snpgdsIBDKING
function from the SNPRelate package can be used to calculate the KING-robust estimates directly from a GDS file. The ouput of this function contains a matrix of pairwise estimates, which can be used by the GENESIS functions.
Running PC-AiR
The PC-AiR algorithm requires pairwise measures of both kinship and ancestry divergence in order to partition the sample into an “unrelated subset” and a “related subset.” The kinship coefficient estimates are used to identify relatives, as only one individual from a set of relatives can be included in the “unrelated subset,” and the rest must be assigned to the “related subset.” The ancestry divergence measures calculated from KING-robust are used to help select which individual from a set of relatives has the most unique ancestry and should be given priority for inclusion in the “unrelated subset.”
The KING-robust estimates read in above are always used as measures of ancestry divergence for unrelated pairs of individuals, but they can also be used as measures of kinship for relatives (NOTE: they may be biased measures of kinship for admixed relatives with different ancestry). The pcair
function performs the PC-AiR analysis.
We use the GWASTools package to create the GenotypeData object needed by GENESIS.
library(GWASTools)
HapMap_geno <- GdsGenotypeReader(filename = gdsfile)
# create a GenotypeData class object
HapMap_genoData <- GenotypeData(HapMap_geno)
HapMap_genoData
## An object of class GenotypeData
## | data:
## File: /tmp/RtmpQLD4Sg/Rinst274c43486667/GENESIS/extdata/HapMap_ASW_MXL_geno.gds (901.8K)
## + [ ] *
## |--+ sample.id { Int32,factor 173 ZIP(40.9%), 283B } *
## |--+ snp.id { Int32 20000 ZIP(34.6%), 27.1K }
## |--+ snp.position { Int32 20000 ZIP(34.6%), 27.1K }
## |--+ snp.chromosome { Int32 20000 ZIP(0.13%), 103B }
## \--+ genotype { Bit2 20000x173, 844.7K } *
## | SNP Annotation:
## NULL
## | Scan Annotation:
## NULL
# run PC-AiR on pruned SNPs
mypcair <- pcair(HapMap_genoData, kinobj = KINGmat, divobj = KINGmat,
snp.include = pruned)
## Principal Component Analysis (PCA) on genotypes:
## Excluding 16,174 SNPs (non-autosomes or non-selection)
## Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
## Working space: 97 samples, 3,826 SNPs
## using 1 (CPU) core
## PCA: the sum of all selected genotypes (0,1,2) = 185850
## CPU capabilities: Double-Precision SSE2
## Fri Oct 11 21:01:25 2019 (internal increment: 33400)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Fri Oct 11 21:01:25 2019 Begin (eigenvalues and eigenvectors)
## Fri Oct 11 21:01:25 2019 Done.
## SNP loading:
## Working space: 97 samples, 3826 SNPs
## using 1 (CPU) core
## using the top 32 eigenvectors
## SNP Loading: the sum of all selected genotypes (0,1,2) = 185850
## Fri Oct 11 21:01:25 2019 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Fri Oct 11 21:01:25 2019 Done.
## Sample loading:
## Working space: 76 samples, 3826 SNPs
## using 1 (CPU) core
## using the top 32 eigenvectors
## Sample Loading: the sum of all selected genotypes (0,1,2) = 144468
## Fri Oct 11 21:01:25 2019 (internal increment: 65536)
##
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
## Fri Oct 11 21:01:25 2019 Done.
genoData
is a GenotypeData
class object
kinobj
is a matrix of pairwise kinship coefficient estimates
divobj
is a matrix of pairwise measures of ancestry divergence (KING-robust estimates)
snp.include
is a vector of snp IDs
If better estimates of kinship coefficients are available, then the kinobj
input can be replaced with a similar matrix of these estimates. The divobj
input should always remain as the KING-robust estimates.
Reference Population Samples
As PCA is an unsupervised method, it is often difficult to identify what population structure each of the top PCs represents. In order to provide some understanding of the inferred structure, it is sometimes recommended to include reference population samples of known ancestry in the analysis. If the data set contains such reference population samples, we may want to make sure that these reference population samples are included in the “unrelated subset.” This can be accomplished by setting the input unrel.set
equal to a vector, IDs
, of the individual IDs for the reference population samples.
mypcair <- pcair(HapMap_genoData, kinobj = KINGmat, divobj = KINGmat,
snp.include = pruned, unrel.set = IDs)
This will force individuals specified with unrel.set
into the “unrelated subset,” move any of their relatives into the “related subset,” and then perform the PC-AiR partitioning algorithm on the remaining samples.
Partition a Sample without Running PCA
It may be of interest to partition a sample into an ancestry representative “unrelated subset” of individuals and a “related subset” of individuals without performing a PCA. The pcairPartition
function, which is called within the pcair
function, enables the user to do this.
part <- pcairPartition(kinobj = KINGmat, divobj = KINGmat)
The output contains two vectors that give the individual IDs for the “unrelated subset” and the “related subset.”
head(part$unrels); head(part$rels)
## [1] "NA19708" "NA19711" "NA19712" "NA19737" "NA19740" "NA19741"
## [1] "NA19686" "NA20346" "NA20345" "NA20347" "NA19664" "NA19677"
As with the pcair
function, the input unrel.set
can be used to specify certain individuals that must be part of the “unrelated subset.”
Output from PC-AiR
An object returned from the pcair
function has class pcair
. A summary
method for an object of class pcair
is provided to obtain a quick overview of the results.
summary(mypcair)
## Call:
## .pcair(gdsobj = gdsobj, kinobj = kinobj, divobj = divobj, kin.thresh = kin.thresh,
## div.thresh = div.thresh, unrel.set = unrel.set, sample.include = sample.include,
## snp.include = snp.include, num.cores = num.cores, verbose = verbose)
##
## PCA Method: PC-AiR
##
## Sample Size: 173
## Unrelated Set: 97 Samples
## Related Set: 76 Samples
##
## Kinship Threshold: 0.02209709
## Divergence Threshold: -0.02209709
##
## Principal Components Returned: 32
## Eigenvalues: 2.946 1.717 1.326 1.292 1.277 1.255 1.242 1.223 1.219 1.201 ...
## SNPs Used: 3826
The output provides the total sample size along with the number of individuals assigned to the unrelated and related subsets, as well as the threshold values used for determining which pairs of individuals were related or ancestrally divergent. The eigenvalues for the top PCs are also shown, which can assist in determining the number of PCs that reflect structure. The minor allele frequency (MAF) filter used for excluding SNPs is also specified, along with the total number of SNPs analyzed after this filtering. Details describing how to modify the analysis parameters and the available output of the function can be found with the command help(pcair)
.
Plotting PC-AiR PCs
The GENESIS package also provides a plot
method for an object of class pcair
to quickly visualize pairs of PCs. Each point in one of these PC pairs plots represents a sample individual. These plots help to visualize population structure in the sample and identify clusters of individuals with similar ancestry.
# plot top 2 PCs
plot(mypcair)
# plot PCs 3 and 4
plot(mypcair, vx = 3, vy = 4)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA2sAAANNCAIAAACGInHsAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACW9GRnMAAAAMAAAAQQBEigjxAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAAB3RJTUUH4woLFQEaPyH1jAAAAAl2cEFnAAADwAAAA8AA/G7QNwAAgABJREFUeNrs3XVcVFkbB/Bnhu4UsQMsDOzAXDtQEQW7dl1jdc1VjNcuzDXWtRNRMbELO8AODBBBQFBBunPu+8ew4zhxYWDgDszv+9nP+zL3nHvnuXcEHu495zk8hmEIoEyLioqytrbOt5uWlpa5uXmlSpUcHBwGDBjQuXNnmd02b948ffp00UtTU9P4+HiuT7GEvHv3bsWKFW/evAkODhYIBPr6+k2aNPHx8Sng7sr9IGT6/Pnz5cuXr1y5EhwcHBUVFRcXZ2RkZGFh0ahRozZt2gwaNKhatWrFd33u3r3bsWNHiY0rVqxYsGBBvvt6enqOGDFCfEtOTo6Ghob4FjMzs4SEhAIGo6enV758+VatWrm6ug4YMIDH4xXijMr8R6bm8PlCkTAAZd23b98K8a3RvHnz9+/fSx9t06ZN4t1MTU25Pr8S4unpqampKXGVGjRoUPAjKPeDkPDx48chQ4aw50l8Pr9v374FOVrhjB8/XvpN69evX5B9Dx8+LLFjTk6ORB9TU9PC/Zxv1apVREREIc6oLH1kaWlpe/bsGTx4sK2trYmJiZaWljDDnjlz5rNnz5Tw8ZdCZenzlbBx40bpt3v69CnXl7xMQQYJZV/hfkoSkYGBwaNHjySOVmIZZOPGjcXfaPr06Rxew7i4OEtLS+lLVAIZpLwPQtw///yjpaVVwKPp6Ohs2LBB6ZcoMzPT3Nxc5jv6+/vnu3uxZpBEVL169bi4OEVPqsx8ZMeOHbOwsGB5i549e4aHhyv9X4WKKzOfr4QvX74YGRlJvxEySOVCBgllX6F/ShJRxYoVk5KSxI+mnhnk6dOnZV6fkskgZX4QInPmzCnEARctWqTcS+Tt7S3vvRYsWJDv7sWdQRLRr7/+quhJlY2PbO3atQU5vrW1dVBQkHL/Vai4svH5Shs6dKjMt0AGqVyaCn7EAGWBiYlJjRo1xLckJCRERETk5ORI9Pzy5cvWrVvnz5/Pdcgc+/jxo8QWDw+PXr16ZWdnF+WwRf8gdu/ezZIfGBoapqamMrJGey9btqxx48YDBgxQ1iXy9PSU13Ts2LEVK1Yo641EdHV169atK7GRYZjv379/+/ZNIBBINHl4eKxatap8+fJFedNS95HduXPHzc2tID2/ffvm7Oz84sULieGnaqXUfb7Sbt26dfToUQ6voRrhOoUFKHbSf2cPGjRIult2dvapU6dq1qwp0blevXri3dTzHuRff/0lHkz16tULcRDlfhAMw7x//15fX1+iG4/HGz58uI+Pj/AXVUZGxvv37+fPn29sbCzRs3z58snJyUq5PklJSXp6eiw/aR8/fsx+hI8fP+75mUAgkOgjcQ+S5QZwenr6pk2btLW1JcI4cuSIun1kbdq0kTiIi4vLhg0bduzYMWHCBOlLdOjQIaX8kygVysDnKyErK6tevXryvg1xD1K5kEFC2VfAn5JCb9++lf6lEhUVJeqADJIUfHgtotwPgmEYV1dXiQ6GhoY+Pj4yDxgcHFyuXDmJ/rt371bK9dm/f7/4YfX09CSGYc2cObPo71LwDFJo9uzZEuc7f/58tfrIwsLCJHY/fPiweAc/Pz+JO45OTk5F/6RKi9L++Upbs2aN6FA9evSQODgySOXiEwCIsbOz6927t8TGz58/F+5oOTk5J0+eHD9+fMOGDcuXL6+trV2uXLl69eoNHz587969SUlJ0rvcuHFjxowZM2bMiIyMFN9+584d4fZz586VfDA3b94U3/7169cZ/5F+WloyH0RYWNipU6ckOpw+fbpLly4yD1izZs2TJ09KbDx48KBSopV4hO3o6NivXz/xLV5eXuwXavPmzTwxZmZmRY9K+jdowYsBFYIKfmS3b98Wf9mkSZPhw4eLb2nVqpWTk5P4loCAgAIe/MKFC7yfSQ9mFbpz545Ez507d4p3SElJ2bt37+DBg2vVqmVqaqqlpWVpaVm/fv1Ro0Z5eHikp6cX8iNRKhX8fCVEREQsW7ZM+HXVqlWXLl3K9TUr67hOYQGKnUJ/ZzMMIz1q6urVq6LWgt+DPHr0qMSIIglmZmYrV66UmDDh7u7O/j37119/FeIiFFMwJGvCR8l8ENK/HkaNGpVvDC1bthTfRV9fPzc3txDXU9zXr18l7mOdPHlSOtG/c+cOy0EK8u9K0XuQr169kohh6dKlCp1aaf/IVq9eLb7vlClTpPssWrRIvE+VKlUKePCsrCyJRH/IkCEye0oUBNXU1IyOjha17tmzh/0PBnNz8507dyr0wRVQaf98JQwaNEh0nLNnz75580YiHtyDVC7MpAGQJD2O3sDAQKEjMAwzY8aMzZs3s3eLj49fsGDBnTt3Tpw4IT0kSFlUKhiFsH8Qd+7ckWidNm1avsecM2fOnj17xLfExMRYWVkVJc6jR4/m5uaKXhoaGvbu3VtDQ8PU1FT8nt/Ro0c7dOhQkhcwKipKYkv16tWL9R1V7SPLyckRr5hta2sr3ef79+/iLwte4FpLS2vgwIHisV29ejU3N1f6Ily7dk38ZefOnUVPb+fPny+R5kqLi4ubMGHCq1evtm3bVsDYiomqfb7irl27Jrqj2a9fv379+r19+5bby1X2cZ3CAhQ7Rf/OHjhwoET/wMBAUWtB7hUtX75coW/DAQMGiPZV+j3IYg2GivMeJMsHkZWVJTFgv3CTe5SiWbNm4pEMHz5cuH3MmDHi2y0tLbOzs+UdpDjuQc6YMUO8v7a2dmRkpEKnVlY/MpGMjAyJ+exbtmwp+O43btyQON979+5J9ImNjeXzfxowtnfvXmHT1atXFfrePHjwoHJPv8x8vpmZmbVr1xa+r4GBQVhYGMMwuAdZ3JBBQtmn0E/JwMBAHR0d8c4mJibiT1Xy/U3/7NkziV8YRGRrazt58uSdO3e6ublJPLUR2r9/v8RxlDKTRlnBlPxMGvYPIiQkROJQrq6uRf2HUijSw+bOnTsnbLp8+bJE0+XLl+UdR7kZZFZW1pYtWyQu4NixY/GRiYuMjJSY+dG8efO0tLSCHyE3N1diVcC5c+dK9Dl+/Lh4By0tLVFp906dOok3aWpqTp48+dSpUz4+Pp6enr/99puurq54h2rVqknP0C+KMvP5ilfLWrdunXAjMsjihqfYAHkYhrl06dKMGTMyMzPFt//yyy/SSRiLVatWScyZGD58+O7du0XVXhiGWbVq1aJFi8S7ubu7jxo1SqE3KnXBFFBBPoi4uDiJvaRLjZQMiTk0pqamovkrXbt2tbCwiI2NFbUeO3asZ8+eynrrjx8/tmjRQvrqxcTEREZGShTwa9asmcx13pSidH1k27dvv3HjxpcvX54+fSpe0LRt27be3t7sVZkk8Pl8FxeXrVu3irZcunRJ4qm0xCPs7t27C0c9pqen3717V7xp/fr14o99hw0bNmDAAEdHR9GWsLCwly9fNmnSpISvmIp/vmFhYStXrhR+3bBhw+nTp5fw9VFbyCBBHd24cUPiV29iYmJ4eLjEz0ehP//8s+BHjo+PP3PmjPiW5s2bS8zQ5PF4CxYsCAsL2717t2hjYGDgw4cP27Vrp8TTVKlgZCr0ByGelgmZmJgUd7QyHTlyRPzlgAEDRBVPNDU1nZ2dxS/smTNndu7cKXEjp9AyMjKePn2abzcejzd48OB///23iEvaCJWBj+zmzZvSU4a7det2+fLlQtQSHzp0qHgG+fr168+fP1epUkW0RSKDHDx4sPCLr1+/Svx1J70QX58+ferUqSM+njU8PLxYM8jS+PlOmzZNOF2dx+Pt2LFDUxOJTQnBhQZ1FB8fX5BfvUTUp0+fzp07F/zId+7ckfitIKouIWH+/PkHDhwQvwVy9+5d5SZtKhWMTIX+IBipNS2Kvo4I+7h7a2tr6YWV/fz8goODxbeI8gPRS/EMMikp6dKlS0pcCCdfPB5v7969Y8eOVdYBVeojU6Lr1687Ojpu375d0clGrVu3rlatmnjhyUuXLk2YMEH4dWBgYHh4uKhJR0enf//+wq8lnlAT0dSpU588eTJixIjWrVuLLk7BqwspRan7fC9dunT27Fnh17///ruDg0MJXSkgQj1IALnq1q0rUSk6Xy9evBB/qaWlJV2TT6h69eoNGjQQ3/Ls2TPlxq9SwRSF9AchnczJrGdZcLm5uQ1YySz1J/EI28LCQqL0XadOnSRmlR47dqwkLx3DML/99tugQYMkZhwXtxL4yApNU1PT2tq6UaNGEgs8XrlypW3bttILeLLj8XhDhgwR33Lp0iXR19evXxdv6tWrl6jQQfny5SWK+KSmpu7YsaNdu3aWlpaDBg3as2dPoSvRFjcV+XwzMjKmTp0q/LpcuXIFmfkHSoQMEkC2vn37PnjwQHrJBHYxMTHiL6tXr84ymlBinJDEvkWnUsEUmswPwtzcXKKbRAH2EpCTkyMxSWLQoEEST9A0NDTEa9QR0fnz51NSUkoyToZhTp061a9fP0bWYsTFQWU/MqGjR49+/fr11atX3759e/v2bdeuXUVNX7586dOnj3htpoKQyCBv3LgheuYr7xE2EWloaMyZM0fmARMSEk6dOvX7779XrVrVzs5uxowZEn8Nckt1Pl93d3fRQ4CNGzcqpQ4/FByeYgP8YGxsXKFChU6dOg0bNqxwpfsk/uyuWLEiS+dKlSqJv4yPj1fu6ahUMArJ94OoXLmyrq5uRkaGaMvz589LOMjr169HR0eLb7ly5Yr01BaJXDw9Pf3cuXPDhg0regANGjTw9/eX2JidnR0REeHt7b1o0SLxVNXPz8/f379Ro0bFdDVKxUcmzc7O7vTp01WqVElMTBRu+fDhw6lTp6RX52PRuHHjOnXqBAYGCl+mpqbevn27R48e2dnZt27dEnXT19fv27ev+I5z587V0dGZP3+++GWR8P79+/fv32/atKlTp06HDx+W+D4tMSr4+SYlJYnWMDQ1Nf327duGDRvEO3z9+lViFw8PD+EyRVOnTtXS0uLgOpYtyCBBHQ0aNOjEiRPFcWSJWtzSP8LESZTSkB5HX5aCkanQH4S2tnbr1q3F16zz9/ePiIioXLky+46nT5/++++/xbds27atcHmVxCNsIgoLC5NeiFna0aNHlZJByqSlpVWjRo0ZM2ZoaWlJTAJTSgZZqj8ymYyMjFq0aOHj4yPacu3aNYUySCIaOnTokiVLRC8vXbrUo0cPPz8/8SS+T58+0msTzJgxY/To0Z6engcPHmQfOnL79u2WLVu+fPlS0QcjCilFn296erooYU1ISJBeBV6aaGGFiRMnIoMsOjzFBlAmS0tL8ZehoaEsqyFLjLiS2LeMBaN0EjdCBAKB+JwVeby8vO7/rHBnmpaW5u3tXbjIr169WgK3eEUzNkRev35d3G/KruQ/sq5du9YSIzHqQER86jQV6vGrxIPsixcvEusjbHHm5uZ//vnn06dPP3/+vH379l69esmbrf/lyxdFFwgoSdx+S0LJQwYJoEwSZcCzsrIkhtKLhIeHSxS8VfoTRpUKRumkK1auW7eOfRpEdHS0xC/1cuXKCR/ua2hosNfOlVifzdvbOzU1tXCRZ2dnnz59urivj/SgBc7Htir3IyuI1NTUj2LkPVd99+6d+MtC3J2qU6eO+LdbcHBwYGCgeOTCtS7ZD1K5cuWJEydeunQpNjb29OnTY8aMkb5nKb0Kjuoo+c8XuIUMEkCZOnbsKPEzdNGiRTJ7Ll26NCsrS3yLxDReCYWYBlF8wagCGxsbidts6enpPXv2FC+eIi4rK8vZ2Vl8oWqSunVUcNKPsBVy9OjR4r4+4rWZRNenuN+UXcl/ZHZ2duIvvby8pC/Cw4cPnzx5Ir5FYp3DAho6dKj4y8OHD4uXxenXr59ErXJnZ+cmYrZs2SJqMjAwGDBgwP79+z9//vzLL7+I7yXvWqkCbr8lgQNcL4oDUOwUXfuVXb6rzzk5OUm83ZgxY9LT00UdBALBihUrJHI7W1tbiQWmJe4gTpgwoRDRKiuYkl/VsCBev34t/bzP2Nh49erV4eHhom7x8fF79uyxtbWV6KmpqfnmzZtCvO/3798l5lxPmjSJfZdff/1VvD+fz//69at4B6Wviy3xi5mInJyc1O0jkx7S5+LiEhsbK+rw4MGDatWqSfS5detWIU4tNDSUx+OJDiKxSPTZs2cl+kusTlS1atXv379LH1ZUrUZIfLHpkydPTvxZSEiIWn2+7LCqYXFDBgllXwlnkI8fPxb/RSJUt27dGTNm7Nu3b8GCBa1atSIpBw4ckDiORDd7e/vMzExFo1VWMKqZQTIMI37nRoKlpWWtWrUkphOJc3NzK9yb/vPPPxKHunr1KvsuoqLHIlu2bBHvUAIZZI8ePdTtI8vMzJSuEG5qatq1a9cRI0Y0b95cur5Vs2bNCr32tLxy1iYmJhkZGRKdt23bJtGtZs2aa9asuXz58v379318fA4ePDh06FCJ79/BgweLjiDxXUlEfn5+avX5skMGWdyQQULZV8IZJMMwixcvJkW4uLhIH0R6uq6VlVXDhg1XrFihUMBKCUZlM0iGYaZMmaLQCQo5OjoWIiMXatOmjfihTExMsrKy2HdJS0uTeIjp4OAg3kHpGWRubq5E8tG2bVs1/MjOnDkj/UeUPDo6Or6+voU+L3nJ0+jRo6U7JyUlSd/+ZMfj8e7cuSM6gmpmkCX8+bJABlncMA4SQPkWL15c8J+hjo6OMle+kUhTiCg6Otrf31/63lIJBKPKtm7d6u7urtASamPHjj116pRoAWuFfPr0ydfXV3yLo6NjvnMv9PT0unXrJr7F19e3IKV/Co3P5xsaGopvef/+ffG9nUJK8iNzcnJas2ZNQZJIHR0dDw+P1q1bF/q8XFxcZJ6UzFnYRkZGx48fly7EzWL+/PmFq1Nbwkr4WxK4ggwSQPl4PN7WrVsPHz7Mfo/BwsJi3bp1586dk55xSUSTJk2S+YiZk2BUnJub26tXrxwdHfPt2bp166tXr+7bt6/Qv6uk59BIDzaVSWKSAcMwXl5exXpZJIbSxsXFyVsYveSV5Ec2e/bsM2fOsBcmbNasma+vr4uLS1FOytraulOnThIbzc3NxZe9EdeyZcvHjx/36dMn3yNbWVnt3bt3xYoVRQmvJJXk5wtcQUVxgOIyfPhwV1fXM2fOXLt2zc/PLzo6Oj4+3tjY2NLSslmzZl27dnV1dZW4SyROQ0Pj9u3bu3fvPnLkSHh4eHR0tK6uroGBQeFW7ipiMKqvfv3658+fDwoKunjx4tWrV8PCwqKjoxMTE42Njc3Nze3s7Fq1atWnTx97e/sivtGRI0fEX+rq6kpMiZDH0dGRz+eLl+Q8evSovHXtlOLXX3+9d++e+JbFixfLm49f8krsIyOi/v379+rV6/jx45cvX378+PH379/T0tLMzMyqVKnSrl07Jycn6cyvcIYMGSJRcMfZ2ZnlFrWNjc2FCxfev39/5syZt2/ffvnyJTIyMjIyUltbu1KlSpUrV65SpUrXrl379u0rMTVH9ZXk5wuc4DEltVIqAAAAAJQNeIoNAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAikEGCQAAAACKQQYJAAAAAIpBBgkAAAAAitHkOgBQTHh4+M6dO3Nzc7kOBAAAAMo+AwODWbNm6evrS2xHBlnKbNu2be3atVxHAQAAAOqiTp06rq6uEhuRQZYy2dnZROTo6NiuXTuuYwEAAICyzMvL68WLF1lZWdJNyCBLpc6dO8+YMYPrKAAAAKAse/PmzYsXL2Q2YSYNAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAKicuLg4d3f3Tp062djYNGrUaNy4cY8fP+Y6KPhBk+sAAAAAAH7i6+vr7Oz87ds30RZ/f/99+/bNmjVr7dq1PB6P6wAB9yABAABAlXz+/Ll3797i6aMQwzDr169ft24d1wECETJIAAAAUCkrVqxISEiQ17ps2bLExESuYwRkkAAAAKBKvL29WVpTU1OvXbvGdYyADBIAAABURkpKSnR0NHuf4OBgrsMEZJAAAACgMjQ185/jq6WlxXWYgAwSAAAAVIaurm6NGjXY+9jZ2XEdJiCDBAAAAFUyfPhwltYKFSp07tyZ6xgBGSQAAACoktmzZ9eqVUtmE4/H27p1q46ODtcxglpmkOnp6ffv3z979uzr168zMjLYOwcFBb169erVq1dcRw0AAKAWjI2NfXx82rRpI7390KFDAwcO5DpAIFK3NWmSkpIWL168e/fu1NRU4RZTU9PZs2dPnz5dX19f5i6jRo3y8/MjIoZhuA4fAABALVStWvXBgwdXr169fPny58+fDQ0NW7ZsOWzYMHNzc65DgzxqlEFGR0d37drV399ffGNCQsKCBQsuXLhw+fJlExMTrmMEAAAAIiIej9ezZ8+ePXtyHQjIpkZPsUeMGCFMHzU1NTt06DB58uT+/ftra2sTka+vb8+ePXNycriOEQAAAKAUUJcM8urVq9evXyeiatWqPXjw4M6dO//884+3t/fHjx9btGhBRH5+fhs3buQ6TAAAAIBSQF0ySA8PDyLi8XhHjhxp2bKlaHuVKlVu3LghnPO1ZMmSsLAwriMFAAAAUHXqkkE+ePCAiDp16uTg4CDRZGRkdODAAR6Pl56evmzZMq4jBQAAAFB16pJBfvv2jYgaN24ss9XBwWHw4MFEdPDgwQ8fPnAdLAAAAIBKU5cM0sjIiIg0NDTkdVi1apW2tnZubu6iRYu4DhYAAABApalLBikc6fju3Tt5HWrUqPHnn38SkZeX182bN7mOFwAAAEB1qVcGee3atWfPnsnrs2TJkmrVqhHRhAkTEhISuA4ZAAAAQEWpSwbZp08fIsrJyXFxcbl69arMPoaGhtu3byeijx8/DhgwIDExkeuoAQAAAFSRumSQzs7OwiI+nz596tmzZ9OmTceNG3f27FmJbr169Ro/fjwR3b59u2HDhuvWrcPNSAAAAAAJ6rKqoYaGxqlTp3r16vXmzRsievHixYsXLxITE/v37y/Rc8eOHXw+f8eOHZ8/f54zZw7XgQMAAACoHHW5B0lElStX9vPzW7lyZeXKlVm68Xi87du3b9q0qVKlSlyHDAAAAKCK1OUepJCBgcH8+fPnz5//4cOHDx8+GBoayus5bdq0yZMnnzp16t69e8HBwcHBwVzHDgAAAKAq1CuDFKldu3bt2rXZ+2hqag4ePFhYaRwAAAAARNToKTYAAAAAKAUySAAAAABQjJo+xS6gjIyM2NhY4deYWAMAAAAghAySzdWrV52cnIRfMwyjxCPv379/27ZthdgxJCSEWJdnBAAAAChuyCC54ePjw7K+Yr5ev37N9RkAAACA+kIGyY19+/bNnDmzEDuOGDEiICCgQoUKXJ8BAAAAqC9kkGw6dOjg5+dXHEfW0dFp1qxZIXbU19fn+KIAAACA2kMGycbMzKxVq1ZcRwEAAACgWlDNBwAAAAAUgwwSAAAAABSj7k+xY2NjExISUlJScnJyjIyMjI2Nra2tuQ4KAAAAQKWpYwbp7+9/5syZa9euvXv3Lj4+XqLVyMjIzs6ue/fuLi4uDRs25DpYANmys7NPnDhx7ty5kJAQbW1te3v7MWPGtGjRguu4AABALahXBvnx48dZs2adO3eOpU9ycvKjR48ePXq0fPlyJyenv//+u3r16lwHDvCTz58/Ozk5PX/+XLTlwYMH//7776RJk7Zu3aqhocF1gAAAUMapUQb58OHDvn37xsXFibaYmJhYWlpaWlpaWFgwDBMXFxcbGxsbGyu6Ment7f3w4cPLly83bdqU6/AB8mRkZPTo0eP9+/fSTdu3b9fT09uwYQPXMQIAQBmnLhlkfHy8i4uLMH20sbEZNmyYs7Nz48aNZXYODAz09vb28vJ68eJFdHT0wIEDX79+bWRkxPVJABAR7dixQ2b6KLR58+ZJkybZ2tpyHSYAAJRl6jIXe/v27V++fCGiYcOGvXnzZtmyZfLSRyKqU6eOm5vbs2fPFi5cSEShoaE7d+7k+gwA8pw8eZKlNTc319vbm+sYAQCgjFOXDPL06dNEVKVKlf379+vq6hZkFx6Pt2zZsk6dOlF+v7MBStLHjx/ZOwQFBXEdIwAAlHHqkkF++vSJiBwdHbW1tRXa0dnZmYiCg4O5PgOAPHx+Pt+2PB6P6xgBAKCMU5cMMi0tjYgKMZbRxMSEiFJTU7k+A4A8tWvXZu9Qt25drmMEAIAyTl0yyAoVKhDRixcvFN1RuEvFihW5PgOAPIMHD2Zp1dbWHjBgANcxAgBAGacuGaRwOKOPj8+1a9cKvldAQMC+fftEuwOogt9++61JkybyWt3c3KpVq8Z1jAAAUMapSwY5YcIEPp/PMEz//v3d3d2/ffvG3j8hIWH37t3t2rVLSkri8/njx4/n+gwA8mhra1+6dKlDhw4S2/l8vpub29KlS7kOEAAAyj51qQfZqlWrOXPmuLu7Z2RkzJs3b/78+Q4ODh07drSysrKwsLCwsODxeMKK4jExMb6+vrdv387OzhbuO3fu3JYtW3J9BgA/WFtb3759+9KlS2fPng0KCtLT07O3tx89ejRGQAIAQMlQlwySiFavXm1iYrJo0aLs7GyGYR48ePDgwQP2XbS0tJYuXTpv3jyuYweQxOPx+vTp06dPH64DAQAAdaQuT7GF5s6dGxgYOHHixPLly7P3tLKyGj9+fEBAANJHAAAAAAlqdA9SqEaNGtu3b9+2bZu/v//bt2+DgoISExNTU1MZhjE0NDQxMbG1tbWzs7O3t8+36h4AAACAelK7DFKIz+fb29vb29tzHQgAAABA6YPbbAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAACgGGSQAAAAAKAYZJAAAAAAoBhkkAAAAHmuXr06dOjQunXr1qxZs0uXLps2bUpJSeE6KABVpMl1AAAAANzLzs4eO3asp6enaMunT59u3ry5ZcuWc+fONWjQgOsAAVQL7kECAJQRycnJoaGh6enpXAdSKs2cOVM8fRT59OlTz549ExISuA4QQLUggwQAKN0Yhtm9e7e9vb2xsXGNGjWMjIw6dOhw6dIlruMqTYKDg7dv3y6vNTIy8u+//+Y6RgDVggwSAKAUy87OHjhw4Pjx41+/fi3ckpube+/evT59+syfP5/r6EqNCxcu5ObmsnTw9vbmOkYA1YIMEgCgFFu+fPmZM2dkNq1evfrEiRNcB1g6hISEFLEDgLpBBgkAUFqlp6ezP11dsWIF1zGWDlpaWuwdNDUx8RTgJ8ggAQBKK19fX/ZaM69fv46KiuI6zFLAzs6OvUP9+vW5jhFAtSCDBAAorb5+/aqUPtCvXz9DQ0OWDsOHD+c6RgDVggwSAKC0MjY2VkofsLS0dHd3l9faunXrcePGcR0jgGpBBgkAUFo1a9aMz2f7MW5lZVWtWjWuwywdJk+evGXLFj09PYntffv2vXjxYr4DJQHUDYYGAwCUVhUrVnR0dDx37py8Dr///ruGhgbXYZYaf/75p6ur69GjR58/f56VlVWjRo1+/fq1adOG67gAVBEySACAUmzr1q3Pnj2LjIyUbmrRosW8efO4DrCUKV++/PTp07mOAqAUwFNsAIBSrGrVqr6+vr179xbfqKWl9fvvv/v4+BgYGHAdIACUTbgHCQBQulWpUuXixYtBQUEPHz6MjY2tUKHCL7/8Ym1tzXVcAFCWIYMEACgLatWqVatWLa6jAAB1gafYAAAAAKAYZJAAAAAAoBhkkAAAAACgGIyDBAD4ITo6OjAwkMfj1a1b19LSkutwAABUFO5BAgAQET179qxz587W1tYdOnRo3769lZVV9+7dX79+zXVcAACqCBkkAABdvHjRwcHh1q1bDMMItzAMc/369VatWl2/fp3r6AAAVA6eYgNAGRcfH3/u3Dl/f//c3NxatWr169evcuXK4h1iYmJGjBiRlZUlvW9GRsawYcM+fPhgZmbG9XkAAKgQZJAAUJb9+++/c+fOTU5OFm2ZPn369OnTV65cqaWlJdyyb9++hIQEeUeIiYk5dOjQtGnTuD4VAAAVgqfYAFBmbdy4cfLkyeLpIxFlZ2evW7du/Pjxoi13795lP06+HQAA1A0ySAAom8LDwxcsWCCv9cCBAzdu3BB+HRMTw36o6Ohors8GAEC1IIMEgLLJy8srIyODpcOBAweEX5ibm7MfCmV9AAAkIIMEgLIp30I8r169En7Rrl079p75dgBQotTU1ODg4C9fvnAdCAAbZJAAUDalp6cXsMOvv/5qZGQkr5uZmdno0aO5PhtQC3fu3OnSpYupqamtrW2lSpUqV668bNky9lvpAFzBXGwA9XL79u1Lly6FhYXp6+s3b958yJAhFhYWXAdVLKpUqcLeoWrVqsIvrK2tDxw4MHjw4JycHIk+Wlpahw4dwlNsKAH//PPPtGnTBAKBaEtkZOTixYu9vb1v3rxpamrKdYAAP8E9SAB1ERUV1aVLl19++WXdunXHjx8/cODAlClTqlevvm/fPq5DKxaOjo4F7+Ds7Hznzp3WrVuLd2jXrt2DBw/yPQ5A0fn5+UmkjyIvXryYMGEC1wECSEIGCaAW0tPTu3fvfvPmTYntKSkp48aN8/Dw4DpA5evSpUvnzp3ltVavXl28oA8ROTg4+Pr6hoWFXbp06fLly58/f753716LFi24Pg9QC2vWrJGZPgodP348KCiI6xgBfoIMEkAtbN26Vd7MEoZhZsyYIVE0sWzw8vKSmQJWq1bt4sWLBgYG0k1Vq1bt1atXz549JdatAShWotpS8kj/+QfALWSQAGrB09OTpTU2NvbKlStcx6h8lpaW9+/f37Ztm4ODg4GBga6ubqNGjZYtW/bq1Ss7OzuuowPIk5aWlu+fcF+/fuU6TICfYCYNQNnHMExAQAB7n3fv3nEdZrHQ1tb+448//vjjD64DAZBLT09PS0srOzubpY+JiQnXYQL8BPcgAco+gUCQm5vL3icrK4vrMAHUFI/Ha9myJXufVq1acR0mwE+QQQKUfRoaGvmWtqlZsybXYQKor4kTJ7K0NmnSRKJQAADnkEECqAUnJyeWVm1t7d69e3MdI4D6Gj58+ODBg2U2mZiYHDx4kM/H72tQLfgXCaAW5s6dy1IWe9asWRUqVOA6RgD1xePxDh8+vGzZMonlkTp16uTn59ewYUOuAwSQhJk0AGqhfPnyly9fdnJyioyMlGgaP3788uXLuQ4QQN1pamouXLhwxowZ9+7d+/z5s76+fosWLerUqcN1XACyIYMEUBfNmzd/8+bNzp07L1y4EBYWZmBg0Lx5899//71Dhw5chwYAeQwNDXv16sV1FAD5QwYJoEZMTU3d3Nzc3Ny4DgRAFWVk0K5d1K8fVa/OdSgAKg/jIAEAAIiIzp2jadNo1Squ4wAoDZBBAgAAEBFlZBARZWZyHQdAaYCn2AAAUCBZWVnHjh3z9vYOCQnR0dFp1KjR6NGj27Vrx3VcAMABZJAAAJC/8PDw/v37v3z5UrTl8ePHe/bs+fXXX3fu3Kmpid8mAOoF3/MAauTVq1dHjx598+aNQCCoVauWi4sLbiBBQWRkZPTs2fP9+/fSTfv27TMwMNiyZQvXMQJAicI4SAC1kJOTM3ny5CZNmqxZs+bixYuXL1/esmVL+/btnZ2dk5OTuY4OVN3OnTtlpo9C//77b2BgINcxAkCJQgYJoBamTp3677//Mgwjsf3MmTOurq7S2wHEnTp1iqU1NzfX29ub6xgBoEQhgwQo+169erVjxw55rVeuXDl79izXMYJKCw4OZu8QFBTEdYwAUKKQQQKUfcePH2e/y3js2DGuYwSVxufn88tCQ0OD6xgBoERhJg1A2ZfvGLWAgACuYwSVVqdOnYiICJYOdevW5TrGAsnIoCtXKDtbduvjx0REYWF04oTcI7RrRxUqcH0aACoAGSRA2ScQCNg75Obmch0jqLQhQ4bcuHFDXqu2trazszPXMRbI5s00d24+fe7coTt35LZ26UI+PlyfBoAKQAYJUPbZ2Niwd6hVqxbXMYJKGzNmzJ49ex49eiSzdd68edWqVeM6xgLp25devaKcHNmtYWH0+DFVq0YtW8o9gqsr1+cAoBqQQQKUfQMHDly/fj17B65jBJWmqal54cKFoUOH+vx8/01DQ8PNzW3x4sVcB1hQdnZ05Ijc1kOH6PFj6tiRDh7kOlAAlYcMEqDsa9269eDBg728vGS2tmnTZsiQIVzHCKrO0tLy+vXr169f9/b2Dg4O1tLSatKkiYuLi5+fn5OTU3h4uJ6eXtOmTX/99demTZtyHSwAFDtkkABqYf/+/dnZ2adPn5bY3q5du9OnT2MiLRRQt27dunXrJvw6ICDAyclJfJ6Wr6/vv//+O3PmzHXr1vF4PK6DhXwkJibu37//xo0bX79+NTU1bdu27W+//Va1alWu44LSARkkgFrQ09M7derU9evXPT09/f39c3Jy6tWrN2jQIGdn53wLtQBIS0hI6N69++fPnyW2MwyzYcMGY2PjRYsWcR0jsLl7966rq2tUVJRoy40bN9auXbt169Zx48ZxHR2UAsggAdSI+A0kgKLYsGGDdPoosnr16gkTJpQvX57rMEG2wMBAR0dH6RVNMzIyxo8fb2lp6eTkxHWMoOpw7wEAABTGvs5hRkbGhQsXuI4R5FqwYIF0+ijEMMz06dPzLQEGgAwSAAAUwzBMSEgIe5+PHz9yHSbIlp6efvHiRZYOYWFhT5484TpMUHXIIAEAQDE8Hi/fiTIYX6uyIiIiMjIy2PtgoXPIF8ZBAgCAwurUqfPq1SuWDiW8zmFERMSJEydev36dm5tra2s7cODA+vXrK3oQNZk+XpBp8phKD/lSlwxSfLpZ4WBIOAColO/fKSqKGjTg5t0HDx7MkkEaGRn16dOnZCJhGGbVqlXLli3LysoSbVyyZMmYMWM2bdoUERGRnZ1drVo1U1PTfA/Vti01bUr9+5dM4JypXLmyvr5+WloaS586depwHSaoOnXJIK2trYt4BIZhuD4JAIAfXF3p/n0KDaVKlTh492nTph06dCggIEBm68qVK83NzUsmkmXLli1ZskRiI8Mw+/fv9/DwyMnJISI+n9+xY8cVK1Y4ODiwHKpmTXr2rGSi5pKurm6/fv2OHTsmr4OtrW2zZs24DhNUnbqMU7GwsOA6BAAAZYqJoZwcio/n5t319fWvXbvWqlUrie1aWlpr1679888/SyaMkJCQlStXymvN+W8BbIFAcOvWrQ4dOhw4cICb66ViVq5caWZmJrNJQ0Nj69ateIoN+VKXe5Bfv369dOnSggUL3r59K9zSuHHjot+YBABQW1WqVHn48OGFCxcuXLgQGhqqq6vbvHnz0aNHV6tWrcRi8PLyys7OLmDn3Nzc8ePHt27duoTHaKqgmjVrXrlyxcXFJTw8XHy7kZHRzp07e/bsyXWAUAqoSwappaXVv3//Ll26dOnS5fHjx0T0v//9b+DAgVzHBQBQivH5/H79+vXr14+rAN69e6dQ/+zs7I0bN+7atYurgFVHy5YtAwICPD09r1+//u3bN+GqhmPHji1XrhzXoUHpoC4ZpJChoeHcuXOdnZ25DgQAAJRAfPZMAd26dYvrqFWFnp7euHHjsIYhFI66jIMUcXR01NLS4joKAABQgurVqyu6S9FLcwAAqWEGqaWlVbt2ba6jAICC+vz58/37958/f55vDWRQQ/0VL70jbwYJAChE7TJIIhowYECnTp0w1ANAxV24cKFJkyZVq1Zt3759s2bNzMzMxo0b9/37d67jAhXi4ODg5OSk6C5cRw1QFqhjBrl8+XJhWQeuAwEAudatW9evX7+XL1+KtmRkZOzdu7dp06ahoaFcRwcq5NChQ127di1gZx6PN3nyZK5DBigL1GsmDQCUCn5+fm5ubjLL+EdERIwcOfLu3bvqUK8uK4siIthaiSgigvT1ZXcwMyN1eGBrZGR09erVEydOHD58+NWrV7m5ueXLl3/79q3MSTbz5s1r164d1yEDlAXIIAFA5WzcuJFlFaj79+/7+fm1adOG6zCLXaNGFBiYT59eveQ2aWrSgwfUsiXXp1H8+Hz+4MGDBw8eLNri7+8/efLke/fuibZUrlx5+fLlY8aM4TpYgDICGSQAqJy7d++yd7hz546iGSTDMKdPnz506NDLly+zsrJq1qzp5OQ0ceJEIyMjrk9XrkaNiKVadkQEZWVR5cqkrS27g74+ldTKgiqnYcOGd+/eDQ4OfvnyZXp6uq2tbfPmzTU18SsPQGnw7QQAqoVhmJiYGPY+0dHRCh0zPT198ODB58+fF2359u3bw4cPt2/ffv78+fr16ysreIFA4Ovr++rVq5ycHBsbm19++UVf3jPmAjh+nK21YUN684YuX6YGDZQVflljY2NjY2PDdRQAZRMySDYZGRmxsbHCrytVqsR1OEr28eNHDw+PFy9eZGdn16hRo1+/fj169FCHsWWg4ng8npmZGXsSqehK9xMmTBBPH0U+ffrUq1evt2/fKuVOpI+Pz6RJkz5+/CjaYm5uvnjx4j///BPfWaXCo0ePrl+//uXLF3NzcwcHhx49emhoaHAdFICKQgbJ5urVq6I6ESyjsgrh48eP3t7eubm5iu4orIVbiB3FMQyzdOnSFStWiB9n+/btnTp1OnbsWPny5ZV4pgCF0LZt27Nnz7J0UGgyhL+//+HDh+W1fv78ecuWLQsWLCj4AQUCio4ma+ufNnp7ew8aNEjiezMuLm7atGnh4eHr168v2UsIiomMjBw1atTNmzfFN9ra2np4eLRu3Zrr6ABUEgPyeXt7F9OFcnR0LMqn1qRJk6K8+4oVK+QduWnTppmZmVxedACGuXHjBsu//6ZNm+bm5hb8aCtXrmT/hmrZsqVC4S1YwPB4zP37P7YkJCRYWlrKOz6Px7sv3ltJGjRgiBh//+L6FNRHbGxsrVq1ZH52BgYGT58+5TpAAM6MGDGCiDw8PKSbcA+SG//73/8KN/TqwIEDUVFRFSpUKPRbf/nyhSWDfP78+e7du1EvDbjVuXNnNze3NWvWSDdZWFh4eHjw+QrUss23fuSnT58UCi80lBiGQkOpbdu8LadOnWJ57M4wzM6dO9uKeoOKWb58eVBQkMym1NTUSZMmPX78mOsYAVQOMkg2HTp08PPzK44jt2rVqlWrVoXY8fr161FRUUVZ2tvb25t9dTgvLy9kkMA5d3d3Ozu7RYsWhYWFCbfw+fx+/fpt2rSpWrVqCh1KW95c5QJ3yNeTJ0+K2KHgGIaJj4/X0dEhMlDWMdVZbm4uyyAHInry5Mnbt2+VON0KoGxABsnGzMyscHmeKgvMr75cQEAA1zECEBGNGjVqxIgRr1+/Dg0N1dPTa9q0aeEWI833d3+DIk9mTkpKYu+QmJhY9Avy7t27FStWXLx4Ufh2OjofiGplZWURFTUDVmdfvnzJd+7/69evkUECSEAGqXYEAgF7hyJO0wFQIj6f37hx48aNGxflIM7OzrNnz05NTZXXYeTIkUWMM9+BJRUrVizEYXNyci5evHj79u2oqKikpKTr16+Lr7OSmZlJRKNGjbp3b7uZOiw+UzzS09Pz7ZOWlsZ1mAAqRx3XxVZz+VZHs7W15TpGAGUqX778qlWr5LV269Zt6NChRXyLbt26FbGDtNevXzds2NDJyWnTpk1Hjx69ePGizGX63r59++uvvxbLhVMPFStWzLfSuKIDJwDUgbpnkLGxscHBwa9evXr27NmHDx++ffvGdUTFrn///uw/LgcOHMh1jABKNnXq1C1btkgU9+bxeMOGDTt9+rRC83Jk6tatW4sWLeS1GhsbT506VaEDBgcHd+7cOb8hJW+IYom+eHt7v379upgvYZllaGjYqVMnlg6mpqZYShtAmjo+xfb39z9z5sy1a9fevXsXHx8v0WpkZGRnZ9e9e3cXF5eGDRtyHazy1ahRY+rUqRs3bpTZWqtWrSlTpnAdI4Dy/fnnn4MHDz5x4sSLFy+EqxoOGDDA3t5eKQfn8/knT5785ZdfQkJCJJoMDAxOnDihaP2EOXPmiJYzkG84kTZRBhFdvXq1UaNGJXUty5qlS5feunVL3gCeRYsW6erqch0jgOrhutJQiQoKCurXr1/BL46Tk9OnT5+4jvonTZs2JaL+/fsX5SA5OTkTJkyQPt9GjRqFhIRwfYoAqm74cIaIOXxYcntCQoKbm5soWTQyMhoxYkRQUJCix09ISFC03sK0adO4viql28GDB3V0dKQv7NSpUwUCAdfRAXAG9SCJiB4+fNi3b9+4uDjRFhMTE0tLS0tLSwsLC4Zh4uLiYmNjY2NjRTcmvb29Hz58ePnyZWHeVmZoaGjs2LFj9OjRBw4cePnyZVpamq2trZOT09ChQ4te1gSgFMnJyXn27FloaKiOjk6TJk2KONzNxMTE3d3d3d09KioqJyenfPny+Q6wkykoKCg7O1uhXZSyKqM6GzVqVMuWLTdu3Hjt2rXIyEgLC4s2bdpMnTr1l19+4To0ABWlLhlkfHy8i4uLMH20sbEZNmyYs7OzvAmegYGB3t7eXl5eL168iI6OHjhw4OvXr8veD+g2bdq0adOG6ygAOLN3795FixZ9+fJFtKVz587//PNPvXr1/vyT/vknn91HjKARI2Q3GRmVP3iQBgwoZGDCSdYKYRmFCQVUt27dXbt2cR0FQKmhLjNptm/fLvw9MWzYsDdv3ixbtoylPkidOnXc3NyePXu2cOFCIgoNDd25cyfXZwAAyuTm5jZu3Djx9JGIbt682bJly6dPn7IW3c9fejrl5BR+9+rVqyvUv1q1at27dy+2SwUAIIO6ZJCnT58moipVquzfv7+AY6J5PN6yZcuEc/ROnjzJ9RkAgNLcuXNn7dq1MptSUlJGjBjx77/ZDEPy/hs+nIjo8GG5HbKzycWl8OFVqlSpefPmBeysra29b98+TPUAgBKmLhmkcN1bR0dHRcf5OTs7E1FwcDDXZwAASvMP6yPqwMDAa9eucRuhu7t7QWoM2dnZ3bhxo3PnztxGCwBqSF3GQQpXFCjEWEYTExMiYlnNAgBKHV9fX/YODx8+7NOnD4cRdunSZe/evZMmTZJYxV5TU3PkyJF169bV1dVt1qxZmzZtil7MEgCgENQlg6xQocKnT59evHih6I7CXQq3IhkAqCbpQrASxIs2SO1LN26URJBjxozh8/lTpkxJTk4WbRQIBBoaGn/88YehoWEJXSwAAFnU5Y9X4XBGHx8fhR5OBQQE7Nu3T7Q7AJQNVlZW7B3Kly8vr+n1ayqZtauuX78+btw48fSRiAQCwZ49e/r3759TlKk6AABFpi4Z5IQJE/h8PsMw/fv3d3d3z3f1woSEhN27d7dr1y4pKYnP548fP57rMwAApcm3yB9LB4YpiQizsrJ+//13eVUhb968uWfPnpKIAwBADnV5it2qVas5c+a4u7tnZGTMmzdv/vz5Dg4OHTt2tLKysrCwsLCw4PF4woriMTExvr6+t2/fFv3snjt3bsuWLbk+AwBQmhkzZnh4eMi7jdemTZsOHTpwG+GNGzfCwsJYOuzbt2/ixIncBgkA6kxdMkgiWr16tYmJyaJFi7KzsxmGefDgwYMHD9h30dLSWrp06bx587iOHQCUqWHDhtu2bZs0aZJAIJBoqlKlypEjR3g8HrcRvnz5krV9/fPnGgzDcB4nAKgtdXmKLTR37tzAwMCJEyeyDHISsrKyGj9+fEBAANJHFffly5e3b99GR0dzHQiUMuPHj79582b79u1Fc5kNDQ0nTZr04sULRQt6Fwdh+Qj5ZubmTsvKyuI6TABQX2p0D1KoRo0a27dv37Ztm7+//9u3b4OCghITE1NTUxmGMTQ0NDExsbW1tbOzs7e3R40MVSYQCP7555/NmzeHhIQItzRq1GjOnDnDhbWeAQqgY8eOd+/ejYuLE66LXbt2bS0tLZb+2dnUsSOVK5f3snLlYoytcj5H5xGRjo5OCV8xAAARtcsghfh8vr29vb29PdeBQGFkZWUNHDjwwoUL4htfv349YsSIO3fu7Ny5E4/2oODMzc3Nzc0L0jMqinx98zLIVq2oY8dijKpnz558Pl/6Ibt6iokhe3tydaW//+Y6FAD4D26zQemzfPlyifRRZPfu3Xv37uU6QCj79PSK9/jVqlX77bffuD5LVfHpE335QvkNXAeAEoUMEkqZjIyMTZs2sXRwd3fnOkYAJdi8eXOPHj2kt6OWOACoAjV9ig2l1+PHj1NSUlg6BAcHh4aGqsJkCCilIiNp/nxKT5fcLtySlERE9PYtubrKPUKXLjRhQlHD0NPTu3Tp0qFDh3bv3v306dOsrKyKFSs6Ojq6ubnZ2HB9jQBA7SGDhFKmINOuv337hgwSCu3uXTp0SG5rZiYR0ffvdOKE3D4vXyohgyQiPp8/ZsyYMWPGEFF2djb7RB8VsXs3lStHTk5cxwEAxQwZJJQyJiYm+fYxNTXlOkwoxVxdydiYpMvpxMbSpElkbExJSVS/Pi1eLPcITZooP6pSkT4mJtL48VShAjJIgLIPGSSUMs2aNdPS0pK32hsRWVpa1qpVi+swoRTT0KA+fWRsj4igSZNIWEKnXDlyceE6UNUj/L6U/90JAGUHMkgoZczNzYcMGeLh4SGvw4QJEzQ0NLgOE6DwBAJauZIiIvLpxvKgvHJlWrCAUNMWAIoPMkgofTZs2ODn5xcUFCTd1KZNmwULFnAdIECRRETQokX5d9u1i6119GiqWpXLs8jKygoODs7Nza1WrZqRkRGXoQBAMUAGCaVPuXLlHj58OH369GPHjuXm5go36ujoTJgwYdWqVXrFXakPyq6EBPr9d0pIkN0qnEOTmEhE9OoVdesmo4+dHW3eXNQwqlaly5cpPFxuB+Hdx5072Y7AYfooEAh+++13Ly+v1NRUItLU1OzWrduKFSuaNm3KWUwAoGw8hmG4jgEU0KxZs+fPn/fv39/b25vrWLj37ds3X1/f79+/V6pUycHBwczMjOuIoHR7/pyaNSvSEQwNKS6OinvSi3DRJRX84R0TQ+XKEZ8fJxBYSDRpa2sfOXJk4MCBMncMDqaxY0neYuCpqRQQQAYGVLeu3Ldu21YJuTsASBg5cuThw4c9PDxGjBgh0YR7kFCKWVtbDxgwgOsooOxo2pRevKCYGNmt37/TsGFkYkKJiWRvT+vXS3bg86lWrWJPH1VZTk4OkabMxRizsrKGDh06bdq0vn37tm/fXmLp0U+f6N69fA6emkrPnsltTUpCBglQopBBAgD80Lix3Cbh1BZtbSIiMzPq2lX57x4fTwcO0PDhZGXF9YUolGvXrhH1lteanZ29fv369evXN23a1MPDw87OTtTUtSsFBeWNEJD27h2NGkV2dnLrdGpoEKqsA5QwZJAAAKpi/36aNYsSE2nJEq5DKZT79++zZJAiz58/79Chg5+fn62trWij2JeShPc0DQyKOsYAAJQIGSQAgAKET1+FVSGVTjhZJytLgV3S02nQIOrQgdzcSugKnDlD37/Lbnr6VHhbUZdovPwDBBHdio2NnTp16qVLl0ooaABQNmSQAAAK0NamHTvIwYHrOP4THEyXLtHnzyWUQT5/Ts7OLO3CsfaGRPInipOAyIQo5erVq1++fKlYsWJJXi4AUBZkkAAAilHKmtfKUsIzshs0oAUL5N6DfPs2+MEDG6IMIvkri1MgUQoRCQSC169fI4MEKKWQQQIAlH2ZmZSaSubmRT1OYKB/ZOTGGzdufPnyxcLCwsHB4c8//+zcubOwNSzMunp1IkohKlCWnSavfg8AqDwsegUAhfT169eQkJD09HSuA1E7WloK1wwaMICqVaPY2CK97969e5s3b37gwIHPnz/n5uZGR0d7e3t36dJl5syZwtLCBgYGCh2wKrfL5gBAESCDBADFZGRkLFu2rGrVqhUrVrSxsTE2Nu7evfv9+/e5jkuNHDhABw4otsunT5SSIvfpc0HcuXNn/PjxWbKm+fz999///POP6KWpqWnLli3zPWCFChWaNGlSQpcMAJQNGSQAN5KTk9++ffvhw4ecnByuY1FAQkJCu3btFi9e/PnzZ+GWnJyc69evd+zYcdu2bVxHV7z09IjHI319ruMgGjaMhg0r6TddtGiRzFLhQkuWLBEll5qamo8ePQoICJgzZ45E5XBxy5Yt09DQKOnTAAAlQQYJUNKeP3/eu3dvc3PzBg0a1KlTx9zcfMKECVFRUVzHVSATJkx4JmthEIFAMHXq1EePHnEdYDGysKDLl+nYMa7j4EJiYiL7bea4uDhfX1/xLXXq1FmzZs369eul00Qejzdnzpxx48YV8N2NjX/8LwCoCMykAShRp06dGjZsmPijwOTk5F27dp07d+7OnTu1a9fmOkA2Hz9+PHHihLxWgUDg7u5+5swZrsMsRj16FPUISUl0/TrJu5fn709EFBBA8i4zj0edOythQoyiIiIiWG5ACoWFhdWvL7lx5syZ7du337Bhw61bt6Kjo83Nzdu3bz9jxoyOHTsW/N3r1KHbt7HqDIBqQQYJUHLCw8NHjhwpcyTZt2/fBg0a9OLFC1V+rnfjxg2GtXiMj48P1zGqugULSGzEoGxnzhBLHj5ypNzF/YqPnp5eofu0aNHi2LFjYWFhV65c+fTpk46OTkJCQmZmpo4iZdk7dqT79+n8eZo0qaTPHQBkQgYJUHK2bNnCMnPZ39//4sWL/fr14zpMub59+8beISUlJTk52cjIiOtIiYhycujxY2rZkjRV6efc8OH0/bvce5ABAeTvT3XrUsOGPzZmZdHr15SdTUTE41F4OLm6/mgVriUtsVFC69b5B5abm3v69OmTJ08GBgZqaGjUr19/2LBhPXr0EA5krFKlipmZWXx8PMsR7O3tZW7PyMiYNWvWzp07c3NzRRsrVqy4fft2hf61//knvXxJ3bqxrX8IACVGlX6yApR1t27dYu9w8+ZNVc4gjfMbiaalpaVoPZfis3MnTZlC//xDkydzHYqY1q3ZRlKuXk3+/jRgAK1a9WPjlSvUq9ePl/9NYfpJYiLJH19AN26QlRVbVDExMQMHDrx7965oy/Pnzz08PPr163fkyBEDAwMtLa3hw4f/I//2adu2bWvXri2sFiQ+eYZhGBcXlwsXLkj0//Lly4ABA06ePDlgwIACXjrhvXuFlnwEgOKDDBKg5OQ7XSbfm3zcatWqFXuHFi1a8PmqMj9PWLmmKPVrVESPHnT5MiUny24ND6e//qKqVWn9erlHsLOjQYPktgoEAicnpwcPHkg3nTt3btSoUadOnSKiJUuWXLly5ePHj9LdjI2N//33XyIyN6fx46lKlR9NR44ckU4fRe87adKkbt26GRoaKnRBHj6k+vXJxKS4LjgAFAQySICSY2pqGhkZydLBzMyM6xjZtG7dunHjxi9fvpTXYRIGqRUDHo969pTbKpx8Y2JCLi6FPP7Jkydlpo9Cp0+fvnv3bocOHSwsLG7duuXktP7Zs3NEn0Qd7OzsDh061KhRI2GoO39eEHv//v0sbx0VFXXx4sXBgwcXPNonT2jMGPr1V9q7V3mXGAAUp1gGOXbsWCLq06fPIJa/ZwFAjtatW799+5alQ5s2bbiOkQ2fzz9w4ECHDh2SkpKkW11cXIYPH851jOqrfXvKt6x7vXoyN7sSuRJFEXUkCpRuPnXqVIcOHYiIqPLz55vq118xdOjmr1+/WlhYtG3btmvXriw3nl+9esUe0suXLxXKIIXjPlkHZAJASVAsgzxw4AARWVtbI4MEKIRJkybt379fXlWUChUqODs7cx1jPuzt7X19fSdOnHjv3j3RRiMjo7/++mv+/Pks5aOhuKWmFvEABvJ+I4ieXCcnE8OQQGC4YMGCAh4035WvU4scNwBwAk+xAUpOs2bNlixZsmjRIukmbW3tQ4cOKTogjBN2dnZ37959//79kydPUlNTq1at2qFDBxWZf63Onj//6WVSUtKePXsuX74cHh5uaGgYEnIxIcH6/XuqW1dyx5YtWz558oTlyEUZ21q5cuUPHz6wdMDS2ACllCYR3bhxQ6F9QkNDJXbp0qUL1ycCUDosXLiwevXq8+fPj4iIEG1s0aLFtm3bWrRowXV0CqhXr149Oc9E1dn+/RQURCtXErd3Y589ezZgwIDPP03bTiCyXrdu3Z49f0ncKq5Tpw57BllXOusssN69e7NkkDwer5f4PHMAKD00iahr164K7XPs2LFjP5ejYC8yDADiRo4cOXTo0MePH3/8+FFLS8ve3t7Ozo7roEA5li6lsDD680+qUIGzGL59+9azZ8+YmBjppn379tWqlTt37lzxjUOGDDl8+LC8o/F4PIXGKUr466+/9u3bJ3PgrPCt60uvY8NKOHOoVC0mD1A2aRKRlpZWtrBYLQCUCE1NTQcHBwcHB64DKd38/Pxu3rwZHx9vamrasWPHdu3acR0RCWtmi1XOVoxS7lyuWrVKZvootHz58vHjx5uLLYzYp08fR0dHeTV3xo0b17x580IHU6lSpTNnzgwcODAhIUGiqVOnTrt27RLf8vo1BQbKPZQwC710iYgoKEhG/UtDQ+rZk+O7vwDqQ5OI7t275+rqGh4eTkRmZmajR4/WlLOGw/r164moZcuW/83LAwDgwKdPn0aOHClRg6ZRoxbr1x+yscl75CqcrhsfTyEhsg+irU2VK3N9Jj/r1o3OnaPevYt0EPalydPS0q5evTp06FDxjceOHRs7dqzEouc8Hm/ChAlbtmwp4kl17tz59evX69atO3/+fGhoqLa2dtOmTX/77bexY8dKrOHZoUPeVGsWX74QEQUEyF6D5+pV6t69iPECQIFoElGrVq1evHgxatSoixcvxsfHv3r16siRI9bW1tK9hRlk586dV69ezXXkAKCmvnz50qFDB/GBpEKvXz/p3r0jkR9RDdHGLVuIJQWaP59WruT6fMQ0a0YPHyq2i3BxadES05mZmew1R0lsbrWIgYHB8ePHfX19jx8//uHDBx6P16BBg2HDhgmrPBZdlSpVtmzZsmXLFoFAwDIvZ8kSttO/epWSksjQkFJSyNKSfvlFsoOVFeVX8x4AlCbvXqO5ufn58+fXrl27YMGCW7duNW7c2NPTE/NjAEAFubm5SaeP/4k2MJhRvrw3EcXHU3w8mZkRS5l2GxuuT6bIatemfftINJKWz+fzeDz2sekSd/5E2rRpU9wVSdmndU+fTtOnExFFRMhYvfDFC0pKonLlKCWFqlcnd3cZR4iNpdhYqlTpR0oNAMXkx9NqHo/n5ubm4OAwZMiQL1++dO/efdGiRQsXLlSdNcoAAFJSUk6ePMnSISPjgp/f93Llyi1ZQkuX0tSptGQJ10EXs7Fjf3ytpaVlY2MTFBTE0v/RI9dRo+jQIdmtISFy63V/+kRElJFBz57J7sDnU82aRV1v0NOTRoyQ2yqM4elTtuy/e3e6erVIMQBAviTHO7Zv3/7FixfDhw/38fFZsmTJvXv3PD09y5cvz3WcAABERIGBgRkZGSwdcnNz/f39O3fuzHWkRETfv38XVs2sUKFCixYtdErkztjQoUOXLVsmr9XS0vLWLZvkZPr3X5IuP+rnRw4OxF5d49MnYplaU6ECRUYWaTqLjQ3Vq0eZmZLbhTcmtbQoO5t0daliRblHaNlS2dcUAKTImDFjZWV19erVZcuWLV++/MaNG40bNz569GinTp24DhUAIP81TgrYp7hFRUVNmzbt5MmTuf9NzDYzM5s9e/acOXPkPURWllmzZh09elTqNmQkUXWi2I0bN06ezCOSnSZWqUIdO1JysuwjBwZSSgppa1PDhnLfvVmzos6Gbt2a3r2Tsb1+fXr3jmrUoA8fqHlzElsUCQA4IHvONZ/PX7JkSdu2bYcPH/7t27euXbsuWbJk/vz5XEcLAOquSpUq+fbhfJmTL1++DBrU+ueC3hQfHz9//vznz597eXkV6+ggY2NjHx8fV1fXR48eiW120tOrsHnzypEjR06eLHffSpXo1i25rR070t27VL48PX1aYtcSAFQU26qG3bp1e/ny5ZAhQ+7du7dw4cJ7+IsPALhWvXp1Ozu7dzJvUhERUdWqVRuy3CIrstOniWWQofDu3bBh9z9/Hiazw8mTSbt375swYVyxXqWqVas+fPjw8uXLFy9eFK5q2KJFi5EjR1pZWRXr+wKA+shnXeyKFSvevHnzf//739q1a69du8Z1tAAAtHz58oEDB7K08oqtqHRWFrm4kECQT7fgYFciV3mta9eOLu4Mkoj4fH6fPn369OlT3G+kdJcu0d27MrZHRxMRCWulh4bSzwvr/KCjQ9Ons03ABwCl0My/h6amu7t7u3btRo8eHRcXx3XAAKDunJ2d3d3d58+fL/g5lePxeAsWLBg1alTxvbW2Nh07JncmMhH9+6/wNuS/RHLGEtKXkBDP5OR/jIyMOLh2pcHUqRQcLLdV+FsoIoLWrJHbp1o1+vVXrk8DoKzLP4MUcnR0DA0NFa5tih98AMAtNze3jh07bty48fbt29+/f7ewsOjQocPMmTNLYGFDFxdycZHb6ukpzCBXE0WwHCQuLq64f5AmJSUdPXrUz88vNTXV2tq6W7duffr0KRXV2Q4fpjt3ZGz/+2+KiiJLS4qJoerVaeJE2bubmdGQIVyfA4AaKGgGSURGRkbIHQFKndzc3JcvX4aFhenr6zdt2rTMjIRr3br18ePHuY6iMPh8frly5Yr1Lby9vX/99dd4sbqOW7dubdy48fHjx2vVqsX1BZDtzh2qW5fKl6fWral1axkd+Hy6f59CQigmhipXJjc3riMGUG+l4O9RACi0PXv2VKtWrXnz5gMHDuzVq1eFChWcnJzCwsLk9e/WjRo1yqccYGnRoAFpaFCDBhy8NfutvpYtW+rr6xffu1+7ds3FxSVeqiz4y5cvO3fuHC0cTqhi3ryhTp1o3DhKTEx89OiRn5+f9KCp2bPp7FkqDXdRAdSCAvcgAaB0mTFjxqZNm8S3CASCs2fPPnjw4N69e3Xr1pXexc+PUlIoNVVGrelSZ9AgSk4mPT0O3nrAgAGnTm2W1zp79uzie2uBQDB58pScnEVEMj7fiAhycIhIT7ciouHD6cMHqlyZzM0lu1WvTitWkLZ2yV2xhAQioocP31lYNBJW0OTz+V27dl27dq29vX3JxQEABYYMEqBsunLlikT6KBITEzNy5MhHjx6VilFxRcFJ+khEy5cvDwm5++LFC+mmWbNmOTs7F99bP378+OPHGKL5RLLrlosmqZw/T0QUGCj7OPfvk4GB5EZ/fyKi79+pWzfZe5mYkLs72doqHPbLly+JGsfFxRHlFWAXCATXrl27c+eOt7d3z549RT2Fd29V9VE8gBpBBglQNm3ZsoWl9enTpw8fPiyBeSfqycjI6MGDBytWrNixY4foaayxcYM9exa5sEzDUYb3798TxRO1JZJbVl1X1ysjg/fnn7R1K7VqRbNm/Whyc8tbeNrXV+5bZGSQj4/c1t69Fc4gk5KSFi9eTHRWuikzM3PYsGEfPnywtLQUbhHmtcOHF/4S5eTkBAQEZGZmVq5cGWv2AhQaMkiAsunhw4fsHR48eIAMsvjo6emtXLly2bJlQUFBFy4kz55dqXPniuzZY3o6Xb9O3buTrm5h3jEri6ZPp5wcYeL4iOiRvJ4aGseIeK1a0datVKnST1PL27Yl+cXaacECevyYVq6Uu/C0tja1batw5B4eHiyl4uLj4/fu3eumjIkzCQkJCxcuPHjwYPJ/6zY2b9586dKlvXv3LvrBAdQNMkiAn8TFxW3cuPHUqVNBQUF8Pr9+/frDhw+fPHmyHlcPRAslNzc3MTGRvU9sbCzXYZZ9GhoadevWDQgoUOd//qE5c2jTJpo2rTDv9fYtbd9Odeu2YO+mp6fHMnqhYkWqWFHuvn//TUTUuDF17arMq3RHZvEeMbdv3y56Bvn169cOHTp8/PhRfOPTp08dHR1Xr16tlAwVQK2U8VFQAAp58+aNvb39ypUrAwICcnNzs7OzX758OXv27JYtW379+pXr6BSgoaFhLj0/4mdlpqyPStHQ+PG/ihLeF0tKKuRb5+YSERkYGFlYWLB0U8FVamKE68zIp5T542PGjJFIH4UYhpk3b979+/e5vgwApQwySIA8aWlpjo6OEREyCkG/efNm0KBBTKkqctOxY0f2Dp06deI6xjJo0SKaN4+srTkLgMfjrVq1Sl6rgYHB8uXLJTauWEHe3gU6uDDHzc1Vcsxm+S1BKJ4TC7NzTQWfnz158oRlYV6GYdavX6/kswIo6/AUGyDPnj17WAolPnz48NKlSyp4/0aeWbNmeXt7y8t6f/nll+bNm3MdY9mRnU2XL1NmJhkZUZMmdPLkT61PnhARRUbSiRNyjyBvZGEhjB8/PioqaunSpbk/53oWFhbHjh2TqOKUmkoLF5KdHTk55X9k4cTtd++ob9/Ch5eSkrJ169Zjx469f/+eiGrXrl2lShX2XcQH7M6bR40byy45Ls/u3btniU8XkuXWrVuFPyUAtSQ7g0xLS5MueHvs2LGvX7+2adOmVatWPB6P68gBlOzSpUv5dihFGWTbtm1XrVo1b9486aZq1aodOnSI6wDLlN27afLkfPo8eUKurnJbW7QgsZI1RbVw4cJ+/frt2LHD19c3OTm5YsWK3bp1mzRpkvhaOFFRRJRXPT4np0CHFXbOzi5kVF++UEjIl9GjR4eEhBARURUievs2/e3bD3x+S4GAiHSJakrspa+v363bhJAQsrYmfX3q1IkUunu+ePHiZcuW5dstKSkpIyNDt3CTmADU0k8Z5Nu3b48dO+bl5TVt2rTJUj8OHzx48M8//xBRtWrVpk+fPmXKFE1FHyQAqDCZz6/FhYeHcx2jYubOndugQYOFCxe+fPlSuEVf38TK6h5R/Y4dZY9gSUsjImrYUO7KH9Wr05kzZGzM9bmpmJ49acQIysyU3RoZSQ8fUqVK5OAg9wj9+tGHD8oMyd7efvv27SwdhGlViQ3NuHyZevcmoopE16VbBQLh/zcnCpZoSkvLu2729vTfP+SCev78+YoVKwrSU19fH+kjgELyUsC0tLSZM2fu2rWrICO9wsLCZsyYceDAgQsXLlSuXJnrUwBQjnxnWxfrSnTFxNHRUTi4MzQ01NDQsGLFera2Ov9VMpErNFRuU0QExcUhg5RUsyZ5eMht9famAQOoRQtiX8d70SIF3jErK+vYsWPe3t4hISE6OjqNGjVq1WoyUWPxPikpdPAgpaRI70v036BGYfXHuDhas0ayG59PPXtSw4bKuUTVq1P16gmhofKq9ugSVeTxMhkmUrRJR0fHwsJCmNhpaNAvvyj8prt27RL8l5yyc2DJ7gFAFk0iSktL69Wr1927d0VbtWWtZtWrV6+AgIC7d+9mZWUR0atXr9q2bfv8+XP2eX8ApUXjxo2fPn3K0qFJkyZcx1hIlStXFv2xFxZGUgsm/9CwIaWlkb8/ycuWjYxI7EEoKM2QIZTfMIofwsPD+/fv/1Lsjtzjx4/37HlJ9IRhGKK8UUZ79tCMGXIPIsyshLOTY2Jo7lwZfby8iPV7QgH16lGHDtNCQ+UNn2hHdM/C4tPjxzpv375lGKZevXq2tpWK+KaPHz8uYM8///xTOecJoDY0iWjOnDnC9JHH402cOHHcuHFNmzaV7tq7d+/evXunpqZu3rx56dKlWVlZ4eHhEydOPMEyOByg9BgzZsyePXvkterq6g4dOpTrGJXAzIxYZr4KH15Xr14W1sVWZenp9OQJtW37o+7Ps2eU771hoYyMjJ49ewqnoUj7/PmzaDWaIUMoJkbGGMfgYMrMpIsXSSCgatUoLIzMzen332UcrXPnn14K/3kUer3sfAeKZGRk1KhRt0aNGsq5ykRJBauN9Mcff/Tr109ZbwqgJjSDg4OFY2X09PQOHz6c74KtBgYG8+fP79OnT/v27ZOTk0+dOvXu3Ts7OzuuTwSgqNq2bTt58uRt27bJbF29enW1atW4jhFKt+xs8vcnhqFdu2jXLlq2jESLoYjGUH75Qs+eyd49M5Nu3KA7d968fz9aVrs1EUVHa48fHyevGqiDA4kyJeE49tq1KSyMLC3J3T3/+GvXpqgoatSokKef70ARjcIV0pSvQoUKwcHBLB309fU3bNgwYcIE5b4vgDrQ3Ldvn3CYyF9//ZVv+ihib2//v//9z83NjWGYw4cPs5QfAyhFNm/eXK5cOXd394yMDNFGU1PTtWvX/i7zFg2AImbMIPG/UBYtkjH2cccO2rGD/TDNiVgqMVnv3i23rVw5KkpxbuHYhkKX4rC3t7948SJLBwPhotfK07VrV/ZS4YcOHRo4cKBy3xRATWgKn1/r6upOU3AhrenTpy9fvjwlJQWl/KHM0NDQWLx48aRJky5evBgQEKClpVW/fv0+ffoYY+YIKEPHjvToETEMff5M0dFUpQqJFgZ68ybvNmTFilShgtwjNG1KXl6r5DycrUw0hSiieXO/QYMGydy9RT5LHhavkSNHrl27Nkd+6SClr5P0xx9/bNq0KSEhQWarvb29U0HKYAKALJqBgYFEVLt2bUUnxGhra9va2r58+ZL9GQFAqWNlZTV27Fiuo4AyyMWFXFyIiKZNoy1b6K+/aOrUvKZatfImtUycSAsXsh3k8uXtSUkyBxQ2J5pCFFOv3gM3tx8ZZG4uHTxI378TET15klfenP6r4yMxFzs2lr58+XHEwECysKDWral+fSKib9+IiO7dk7v0oo4O9epFWlqyW+vWrbtw4cLFixfLOzVDZQ+/LVeu3MmTJ52cnFKkZqRXrlz51KlTSn9uDqA+NIV/nFWtWrUQOwszyLi4uELsCwAAhVCnTh3WKSn1L11aIv761i367Te5vdnnYgtdvfrTy5Ur2cLbu5d+/VVu66JFi4yNjRcuXCie0hkYGIwcOTG/Z/eF1KVLl+fPny9ZsuTcuXPCNy1Xrtzw4cMXLlyY79rxAMBC08DAICEhoXCjT4Qr02gXemIeAIAaUO4aXkOGDLlx44b8dq2kpLxBFwkJFBdHlSrRzJmUmirZb9cuYhiqVIkiI0lfn9LSqEULMjQkUeH87Oy8r+3tqXZtIqJ79+jbN2rfXu7C32Zm1K1bPvFPnz599OjRFy5cePfunUAgsLOzc3R0fP/eopgySCKqVauWp6dndnb2t2/fNDQ0KlSogGXVAIpOs0KFCgkJCV/En1sU2OfPn4nIWt7PEgAAIGrZkjp0IDlDExUmLDv16NEjeR2E6VFsLNWsSflWs4mMJPpvLSLRA24h0czpDRuoSxciop496ds3WrCAevQo0imYmZmNHDlSOZejwLS0tPJdgBsACk6zTp0679+/f/z4cXJyspGRUcH3TEhIEJZfrlmzZsH3AgBVZmpKubmko8N1HGVLhQp0547SjqapqXnhwoWhQ4f6+PiIb+fz+eLLr+jrU7NmFBYm9zjCtan19Cg9nTQ0KDeXTE3J3JxycyksjDQ0qG5devGihC6RjQ1ZWFDLliX0dgBQdJoDBgzw9vbOzMzcs2fPDJblC6Ts3r1bOKWuT58+XJ8FACiHjw9lZMidCQFF4eJCz5/nfR0bS0S0bBlt3py35fPnvC/+/psOHJCxu6kpnTtHlSoREVlaWl6/fv369eve3t7BwcFaWlpNmjRp0uR38YJsenp08yZbPJqalJtL7dvTtWtkZkYxMTR+PK1ZQ7GxZGlJpqa0ezc1b04lo0IFiokpiTeKjY3dv3//7du3v337Vq5cufbt2//222/ly5cvofMEKEM0+/fvb2JikpiYuHjx4l69etWtW7cgu3348GHlypVEpK2tPWDAAK7PAgCUo04driMoKwSCn5YXFwjo3j2KivqpT2xsXiopLj5e9rKTGhoUHZ2XQaamkkBA3bp16yY26pBl+cGsLGIYyVvLfD7l5pKzM127xvXFKilXrlwZMWJErNhFv3Lliru7+969e12Ek+QBoMD4JiYmy5cvJ6Lk5OROnTr5+vrmu8+bN2969OiRmJhIRFOnTq1UqahLlwIAlDETJpCNzY//atWSTB/zNXs2BQf/+O/LFxItzN68OdnZkfgza3YtWlDdurL7t2/P9ZUqKc+fPx8wYECsVM6enJw8bNiw27dvcx0gQCmjSUR//PHHxYsXr169GhUV1a5du7Fjx06ePLmJ6GeVmIiIiG3btv3999+ZmZlEZGdnt5C9cJnKi42NTUhISElJycnJMTIyMjY2xsQgKHmvXr06fvz4u3fvGIapV6+eq6urzG9AUBGxsbFeXl7Pnj1LT0+vVq2ao6Nj27ZtJfo0aUIsQ8RjYykxkSwsyMQkb8vnz5SdTfTfwuUaGtSu3U9HOHyYAgNp2TLi8ejTJ8rMpOzsn24rClcplOnDB8rIoKws0tXl+tpxZ86cOeJrTYnLycmZMWPGixIb9QlQNjAMwzBMenp69+7dxbdXqlRpwIABf/7554IFC2bNmjVq1Kj69euLV0CoUaPG58+fmVLo9evXS5cubdu2rZmZmfQFMTIyatWq1cKFC1+/fs11pDI0bdqUiPr37891IKAcmZmZ48ePl64tMmbMmPT0dK6jAxn27dsnXfi6R48e0dHRBT/I1KkMEbN5848ttrYMEWNhwVy9KnuXGjUYIiYigvHxYbS1GSImI+OnDtnZzJw5DBGjrS25r64uQ8RI/IPS0mKImLdvGSLG0pIhYubMYRiGiYnJi+TpU4aIIWJ8fPJ26dGDIWKuXOH6M1Dc9+/f+Xw++2/DoKAgrsMEUDkjRowgIg8PD+mmvD9adXV1L1++vHHjxoULFwr/SouMjDxz5oy877ShQ4f++++/pqamXCfAivn48eOsWbPOnTvH0ic5OfnRo0ePHj1avny5k5PT33//Xb16da4DhzJrwoQJB2TNmzhw4EBmZuaRI0e4DhB+4uHh8dtvvzHC5VzEXL16tUePHr6+vjoFm8cufJR6/fqPNWmE/PzI1vbHyzNnqGlTqlaNiCg3l4goKYl69JD9PFpTk5Yvp7VrFTujY8eIKG9BxcBAOnGCkpOJiLKySDTV+84dEi4cIb0mjZ1d3nI1Ki4kJESQ31P/Dx8+2IpffQBgJ5FRRkVFrVixoraweqwUY2Pj4cOHP3nyhOucuDAePHggsQKBiYmJjY1Nq1atevfu3atXr1atWtna2krcmLSysnr27BnXsf+Ae5BlSb7Djm/dusV1jPBDUlIS++qv69evZz9CcnLy3r17f/vttwoVXIim16x5Pjc3V9gkvAcpfhfs2TOGiOnVK+9l1aoMEXPrVt59wUL/V748c+cO8/Qpo6lZ1EMJj1YqPH78ON/fhhcvXuQ6TACVk/89SPGEacGCBQsWLIiOjn769GlUVFR8fLyurq6FhUXt2rXt7e3zfRCgmuLj411cXIQLMNrY2AwbNszZ2blx48YyOwcGBnp7e3t5eb148SI6OnrgwIGvX79WqFgmQEEcE97/ke/o0aOdOnXiOkzIc+XKFel5GOIOHz48a9Ysea0XL14cM2ZMjFjRmpCQTc2bNzl27JjMP9qFy/5JrCVT9LVUoqKoY8fC7Mjn503f1tT8EUZODj17Rs2aFTWq4lazZk0NDY1c4Y1cOeqgEgGAIuQOvbaysurduzfX4SnN9u3bhevuDBs2bO/evbqs48nr1Knj5uY2Z86cxYsXL1++PDQ0dOfOnX/99RfXJwFlTUBAAHuH9+/fcx0j/PDu3Tv2Du/fv2cYRuaKebdu3RowYEC2cLKMmBcvXnTp0uXp06dEBSpJKJp5Q0REukSZ4q9r1Kjz6VOAtnbeU2kRPT3KyKDmzUn4+D03lz59osRExU5fIMh7ei5+EvHxFB2t7AtdDHJzLRimC5HcwkXNmze3sbHhOkyA0qRU3lAshNOnTxNRlSpV9u/fr1uw6Yg8Hm/ZsmXCO0AnT57k+gygDBLW5C9KByhJWVlZ7B1ycnJkDrZjGOaPP/6QTh+FIiIiFi9erJQIP336xNJ67x49fUpPn9LRo3mDHQtNX58iIigujhISqFcvpcRevGJiSCBYy+fry2zV1tb++++/uY4RoJT5kUFGRkZu2bJl1KhRjo6O06dPP3DgQJSi5ctUmPAHq6Ojo7a2tkI7Ojs7E1FwcDDXZwBlUL4rgmJcv0rJd1Jd1apVNTQ0pLc/e/aM/X6zl5cXwxTor4UpU4T/z7D0yXfKSN26FBT0o/rP+PF5E3pGjaKnT+nGDSIiExPy8Mjr8O+/eamn6L8PH6hSJTIzo1I1use+SpUL0svPmJmZnThxol27dlyHB1DK5P0IWbly5fLlyzN/fvJhZma2efPmkSNHch2kEqSlpRFRIcYympiYEFGqxFgkAGVwdnbevXs3Swcs+KRSevfuraWlJe9WIhH1799f5vZ8RyMkJCRUr/5FU7OqsXE+MTx4kH+cAoEg3+dLNWv+GMtYsSLp6RERWVtTs2Z588Q1NalevbwOtWuXgpGOBWFg8Mvr1x8OHTp08+bN6OhoS0vLDh06jB07VmZlt3zl5uYeP378yJEjb968EQgEdevWHThw4JgxYxS9TwFQSmkS0eLFi5ctWybdFh8fP2rUqO/fv8+cOZPrOIuqQoUKnz59KkTBWOEuFStW5PoMoAzq2bNnjx49rl69KrO1U6dOTk5OXMcIP1SqVGn69Onr1q2T2WppaTl37lyZTSxJp8g//2QZGZGVFRFRaio1b07Cu5Z378qcPSPcJLs+tkCgqaFBxsY/dhTeHKhQ4adDiYJas4byzVzLDGNj4ylTpkz5715uoSUmJjo5OYmvZBMeHn7t2rXt27efP3++cuXKXJ8oQLHjBwQErFixQviicuXK06ZN27p167Rp00TfAAsXLgwJCeE6zqISDmf08fG5psgSsAEBAfv27RPtDqB0Xl5eXbt2ld7esWPHU6dO8Yo+8xaUavXq1WPHjpXeXqlSpUuXLkk/IRWqUaMG+2F1dHSaNascGkpr1tCaNbRhA339WqQ4BQJKSMhbYjs+Pm8CjfgW8aW309N/1HeEAhoyZIjMhRBfvnzp6OiIEcygFmbPni38on379nFxcaIyP3FxcR3/K/kwbtw4rgsSFZWfn5+wDpGuru7q1au/fv3K3j8+Pn7Xrl3C2m98Pv/Ro0dcn0Ee1IMse3Jzc0+fPu3q6lq/fv369esPGjToxIkTojKBoIJ8fHwGDx5sa2tboUKFNm3arFq1Kj4+nqV/ZmZmuXLlWH4O9+/fPyuL0dAoeoHGhUQMn58TF8eI/6ejwxAxX7/+tFFUD9LNjVm5skBr0pRewqV37OyUczQfUbF1Ofbv38/1GQMoB1s9yDdv3hCRhobGjh07xMeCmJmZ7dixo0GDBrm5uTdv3uQ60S2qVq1azZkzx93dPSMjY968efPnz3dwcOjYsaOVlZWFhYWFhQWPx4uLi4uNjY2JifH19b19+7bowdPcuXNbtmzJ9RlAmcXn8wcMGIAhj6VIly5dunTpwt7n/n36/Xf6b/a2NtFKovEye/J4er6+K2rUIBMTys6m3FxKSyt0aMuISCDQ0NYmA4O8TfKq9ojXRhT+tMvIoPh4SkggImIY3JiU6+zZs+wdvL29x4wZw3WYAMVLMygoiIgaNGhgZ2cn0Va3bt2GDRu+fPkyMjKS6ziVYPXq1SYmJosWLcrOzmYY5sGDBw/yG5SupaW1dOnSefPmcR07AJQynz7Rz9Ovfyf6SrSUSGKitCnDeEZHNyjs+6QSia9sxCfqzOeT/n9Va5YtI1GloAoVZB9izZq8L7ZsoS1b8r6Oi6POnbm+iKqKvWoSEZXSoV8MwwQEBERGRlpYWDRs2FBTU7Pox4QyTFP4nSCvqkitWrVevnwpMUe79Jo7d+7gwYPXrl175swZ9lpFVlZWTk5Obm5u+dZbAYCiS0ighw+pZ08qnYteyTByJP3yC/1cQXLRu3f9PD3/ffbsYUxMUnx8hWrVultZTU5Pt5Z5hKws+vCBDA1JuFSKv7/E0UhD42Vu7mmi5cKXpqamK1euWr26s4EB8XiUnk59+pC/P/H5eZXAJa6tqOaPcLQtwxCPl/e1sElTk3JziWErHCRXdnb2mTNnrl+//v37dxMTk7Zt2w4dOrRwK3sxDJ08SW3akOrMTsl3tnWpm44tEAi2bt26du1a4dIbRGRiYjJx4sTFixfrCSfqA0jRFK7yZPLzQgci8raXXjVq1Ni+ffu2bdv8/f3fvn0bFBSUmJiYmprKMIyhoaGJiYmtra2dnV3pXb8RoDRauJD++Ye8vUlOPZxSSTrjqVmzsaPjLiI6eZJcXKhFCzpxQu7ud+9Sx47UtCnduUNEVK0ahYfnNfF4xDAUGVn95s16AQGLeDyenZ1dr169jIyMRo7MywLT0ujZs5+eRMsrEynKERnmp3xRW5u6daNz54h1DKcMr1+/dnFx+fDhg2jLoUOHFixYcPDgwUIsdfbgAbm60sCBxL6wg78/tWlD7IXX3r1jWxaySRN6/rxAIdnZ2QlXqZCnfv36ip4mhwQCwbBhw7y8vMQ3JiYmrlmz5ubNmzdu3MCiviCTmt6j5vP59vb29vb2XAcCAESUl+gous6emjM1NR06dKjERtHv+u3bado0Eg7Gs7OjzEx69450dH70tLXNyxenTcurKC6UlkaNG5O1Nfn7k4YGBQdTo0YKRBUWFta1a9fv379LbI+JiRkwYICPj0/79u0LcpyIiIjw8HADA4P4eDsirXxr8mppkb4+FaV0r6lpQXsOGTJk9erVLKtsDx8+vPBxlLgdO3ZIpI8iT548mTNnzvbt27mOEVSRmmaQAAAqaO1aevo072thDvb+Pbm6EhHFxPzoJsz8hg+XfDBtZETr1pG5OTEMLV5MfD4JS/0Kb7zVqEEyl3S9fJkaNKBx435suXmTTExIOLWySRPFTuF///ufdPoolJWVNWXKlFevXrEf4fz584sWLXr58qXwpY5OfyLv7OxsIi2WverWZVuh+907ql+f7Ozo7dtCfTA/q1+//owZM9avXy+zdciQId27d1fC25SUjRs3srTu3bt39erVpgXPr0FtIIMEUF2pqak3btz48OGD8DHlL7/8UsBV3aGUcnf/qVIjEX3/LvdJ96lTMjYOGULduhHDUH5LG/7w4QPt3/9TBtmhQyHjz8jIOHPmDEuH169fv3nzpkEDuTOH1qxZM2/ePEbsabpwIP7Dhw8/f65ZpUqVwl5aJVuzZo2Wlta6devESz/yeLzff/998+bNXEengMjISPZle7Ozs319fXuViuXPoWQhg2STkZERK1zhi6hSpUpchwPqZceOHQsWLIiLixNtsba2Xr9+fel6QAYKuX//x02y9+9p8WKqV4+WLiUi+uOPn25DEpGnJ2n9fFfOxIRk1afPnzBhO3uW4uJIVsX0ggoPD893Ddj379/LyyAfPnwokT6KpKenjxo16tatW4UPTqn4fP6qVat+//3348ePv337ViAQ1K5de9CgQdJVTVRcjMS/Klnk3VQGNYcMks3Vq1dFy8oxhZuRKF+8xK2GgmEZeQNlyfLlyxctWiSx8du3byNGjEhMTPzjjz+4DhCKhZ0diTKQu3eJiMqVIxcXIqK//vrRTUODLCxoyJCCTl23tqbkZMl0U9r48fT9O7m4kKGhZFN0dPTevXvv3LkTExNTrly5Dh06jBs3TrpMekHWYmFZ43HDhg0sP2lv37799OnT5s2bK/GCF1GNGjXc3Ny4jqJIhAtnFL0PqKG8DPLkyZMyF2gS/XXCvipXvsWxQMLkyZP//fffQu8ezTLeB0q/N2/eLBXed5Jl1qxZffr0qVatGtdhQokSTxZNTfPK9ORL+AR8wQISCIhl9nBsLJ04QampeaVzhNXItbWpVy/S1s6rj50oNtHpypUra9asOXDggMTS7VWqVNHS0mJfB/zevXuHDh2KiYmpUKFCp06dfv31V9FiFneE087lu337tkplkGVA5cqVq1evHhoaKq+DpqZmmzZtuA4TVFFeBpmSkpKSksLSj+WfFxRClSpVzM3NC3FfMzk5OScnRyvfmwlQmu3fv5/lZnNGRoaHh8f//vc/rsOE/H348OHkyZMBAQHCkaw2NjYhISFxcXFRUdZEvxApUA5iwQKaNy/vQTaPR1ZW+e8iEOTNwilAnD96ij/F3rmT6td/4OrqKp0UJiYmDh48+NatWw4ODqKNRkZGXbt2vXz5srw34vF4O3bsEL28cOGCu7u7p6dn9+7dc3NzxcdsyIQ/novDtGnTZsyYIa911KhR5ubmXMcIqghPsdl06NDBz8+vOI48d+7cuXPnFmLHZs2aPX/+XHz9SSh7nj17VsQOwLns7OxZs2Zt27ZNIH9Ki59fj8jIvQUcYz1uHG3aRDEx1LQpNWxIRPT335SU9GPJGWk8Hrm4yC0JLj5Bx8KCOnems2cpK4v69ydhPWwTE+rVi1xd/5J3TzErK2vWrFm+vuKL4tCqVatu3bqVkZEhcxfpP5tjYmKcnJwePnzYuHFjY2PjRNaSTkhlisOUKVNu374tc6nGRo0abdiwgesAQUVpfvv2jesYVJeZmVmrVq24jgLUDvsDASJKKoUrFmdksBVSEc5YCw0lebmxoSHVrs1WDlrVTJgwYf/+/ex9IiKuduzY0c/Pz9LSUrq1bl2qVUvGzJhDh0hYr3rxYkpOpjlzSN6iITweySnzR0TE5/9ILmvXpuPHydycsrJo/34S/Yn6+fNn9r+i/fz8IiIiKosVT2/cuPHJkydHjBiRIFxg+0cwPHlPXdLTMyZM2Lty5dY6dSY/fvxYql1YT8iCqKuurqOPj4wTadyY1Cq3vHuXKlYkW1vlHE1TU/PUqVPr1q1bv369aPKovr7+77//vmLFCkPpUbEARESkWb58ea5jAICfVKxYkf0uY2XVWd+twIYMIVn3OH6yeDHbHbXNm38qfK2C3r59e/78+U+fPsXGxp6SWWtHSnBw8MKFC2VWbLayIrFVXWQQ3twseNUeCdralJlJS5eyXXP2Oi9CQUFBEv8g+/TpExAQsH379ps3b0ZGRpqbm9evX//gwYPyjzHs8eOt3boR0Ur5fVoQXZf3rLVZsx91NMu8iAjq1ImaNycZyXZhaWhozJ0796+//nr+/HlUVJSZmVnTpk31RcurA8iCp9gAKqd79+7nz59n6dCjRw+uY1RY584UESG3NTSUYmOpenWSN+lTU5OaNuX6HORLSUmZNGmSp6dnIQY3e3p6btq0SUd8uZgCYBgSPltetEjGJGthFAxDLINlqlaloCBiv8HEK8BdX2EfhqHYWBLdSy1fvvySJUuWLFkifHnx4kXWDPIZ0aWWLdsZGxt/+PAhXLR6Yx4LoiY8Xlzr1joGwjk+UvIt4G1lRYaGVLOmQtdYRaWkEMNQcrLyj6ypqdmyZUuuzw9KDXXPIGNjYxMSElJSUnJycoyMjIyNja2trbkOCtTd2LFj165d+/nzZ5mtdnZ2LsL6LqXK1KlsdxBHj6ZDh2jpUho1iutAFScQCITr9RVu9+Tk5I8fPyq6kvKnT5SVRUTEsp4Iw9CaNfkcRzgaMiSEJkygtDQiohkzfix+mJZWi4hHJDct5vF4tWvXJqJ582j9enr8mJo2pW/fvu3YsePWrVvfvn2ztLRs165d3bp1WaMIIOrzzz+PW7RoQVR77957S5YsifjvDw4erxfDXOrQQe/2bT0qLEtLCg8nOfknABSGOmaQ/v7+Z86cuXbt2rt376SLMhoZGdnZ2XXv3t3FxaWhcLw6QMkyMDA4d+5cjx49pGeeVqlSxdvbG5PxVcrhw4cLnT4K5TvyVUiY2An/t2ZN0tGhzExatixv4os4hqF584jHo9Wr6fVrOnJE7jGFoxyjomjXrrwtP98rrEjUjuievN3bt29fsWJFIvr4kXJz6dMniog4N2rUKNGEmA8fPjx8+DDfO6yampq2/w3r++2338aMGfPq1avQ0FA9Pb3ExDZDh5KeHlv6mJOTk5SUpK+vz7Jok7z5hwzDXLhw4ejRo2/evGEYpnbt2i4uLi4uLhoaGgX9/ADUE6NOgoKC+vXrV/CL4+Tk9OnTJ66j/knTpk2JqH///lwHAkUVGxt79erVEydO+Pr6ZmVlSXf4+vXr1KlTRTfFK1euPGfOnLi4OK4DLxajRjFEzMGDJfR2vr5MWprSjta1cOvAiImMjCzIG/n5MQcO/HhpYMAQMSkpMnrm5jJEDJ/PMAyTnc0cPcrs3Mns3MnMmsWMGJH3X8WKDBHTtClDxJQrx4wYwWhrM0SMq+uPPiNGMH36PNHUlJ2W6erqPn36VPiOAwcyRIy7e5C2dD5bAL169ZJ31pcvM0RMz56yW+/du9e7d29hfsnn85s1a7Zv3z6BQFDAzy45OblPnz7S8Tg4OERHRyvtn4hSvX/PEDF163IdB6iHESNGEJGHh4d0kxplkA8ePJCoBGFiYmJjY9OqVavevXv36tWrVatWtra2EoVyrKysnj17xnXsPyCDLAOio6OHDx+uqfnjCYCFhcWaNWtycnJk9o+Pj09MTOQ66uJVkhnkxYsMETNrltIOWMShL40bNy7c+xYwgxRJSGD4fIaoEP9dIZKcLV6uXLmrV6+KDi7MIBs2XMJypvJGVRoYGPj7+8s7TZYMcuPGjXxZddX79+8v868yaRIV0cW1adMmNzdXaf9KlAcZJJQklgxSXZ5ix8fHu7i4CMvV2tjYDBs2zNnZuXHjxjI7BwYGent7e3l5vXjxIjo6euDAga9fvzYyMuL6JKAsiIyMbNeunUSJ/tjYWDc3t2fPnh09elT6N6KpqSnXUZcpwjV+C7AacEFlZmYWZfdly5aVzImbmNDq1SSaXX3lCoWHU+vW5OdH5ctT//508CBlZtLo0ST1zLlHVtbHDx8OxsbesbKKKVfOslOnTqNHjzY2Npbo9+bNG5YAGIYxMjJK/nkOiLW19dGjR+WtlM3ixo0bs2bNYmRNXTp79uzChQvd3d3Zj3D37l1vb295rb6+vl5eXkOHDlXyxwBQVqhLBrl9+/YvX74Q0bBhw/bu3csyVoaI6tSp4+bmNmfOnMWLFy9fvjw0NHTnzp1/ia9KC1BYkyZNkrfC0/Hjx7t16zZu3DiuYwTFVKtWrXDL3PP5fHd39759+5ZYqHPm/Pja0ZHCw8nFhfz8qGZN2rmTTpygzEz6+2+ZQwZNiKYS5VNOiclvKvo///zz/fv3u3fvxsbGWllZdenSZdSoUYX7+3z58uUsb7d58+Z58+aZmJiwHOE0yzqP/3VABgkgj7pkkMKfFFWqVNm/f38Bh+nweLxly5bdu3fv9u3bJ0+eRAYJRffp0yf2Mj1btmxBBlnq9O3b9+XLlywdypcvr62tXb58+czMzJCQkNTUVFNT0y5dusyePZt9zYJ9+9hKQgrnYrNX82EYuWXYhw6l9HSqV69Er5WpqemoUaNmzZpVxOOkpaXdv3+fpUNGRsadO3fYB77nW+2yIOUwAdSWumSQnz59IiJHR0dFR3k7Ozvfvn0bP0dAKR4+fMjewd/fPykpSfrhIKiy6dOn79q1KyoqSmbr6NGjDxw4IL4lMzOzINUfY2Lot9/yf3f2aj7v3pG8MkHDh9Pw4fTzkoRFpampmZPD1qGekjLWqKgolrXjhSIjI9k75DvbWuYgy5IRFETyVp4SPsPIyCCWZQeqVqVy5biKHdSFumSQaWlpRFSIZyXChyCpqalcnwGUBcKRuPn2QQZZupibm1+6dKlv377CoTLi+vTpI73eTAGLh1ta0rFjJGfIAxHRokWUlZVPNR87uxK9FM2aNXv0SO5Cis2bN69Vq5ZS3qggS+3l+wO/bt26Z1kXSlJWvquohw+pbdt8+oSGUvPmclutrenLl9K0CiiURuqSQVaoUOHTp08vXrxQdEfhLsKCZwBFVC6/2wI8Hk/mEsllXps2dPYs2dtzHUdhNW3a1N/f/59//jl//nxwcLCOjk6TJk3Gjh07aNCggizrIs/gwWyty5dTVhbNnCmjULZAkJdBFuLNBQLBo0dPXr16lZmZWbNmzU6dOhkUuBL3iBEjAgNXSayILaSjo7Nly5ZCXISGDalmTcn1wS0tLatVqxYWFsayY3OWDCvv8g5eu3Yty2BKrgZB1qhBnTvTfyU1JQmXmNfVJZYi9C1bIn2E4lfEad6xsbEDBw7kerJ5/saOHUtEPB5PvPxEvt6/fy+8G/Tbb79xfQZ5UM2nVIuMjGR/LtayZUuuYyz7DhxgiJjRo7mOo8hYqvkIBIyGBqOtnf9BHj5kiJg2bRiGEdaDvFOz5k833szMzDZu3CgQCCZPZszM5P4nrCVpYMAYGWXz+QlEceL/8XjxpqaZ165JvntODuPuzty+XZjTX7FiBcu3Uvv27QtykEmTJsk7gsr+mEU1HyhJ+VfzYRjG29vb29v748ePAoGgatWqgwYNcnZ2Fh8mkpub++HDh7i4uNjY2Ojo6KioqC9fvpw6dUre6B+VMmHChIMHDwoEgv79+y9evHjMmDHsJdwSEhJOnDgxb968pKQkPp8/fvx4rs8AyoKKFSsOGzbs8OHD8jrMnj2b6xihLODxaNMmKsiiKsIn4MK5OLm5l4n6h4Rki3eIj4+fOXNmaGjo9++b851xnppKRJpEkjOghes4i6+8k5KS8vz581evNObObduuHd27R4qaOXPmxYsXfWUN5DQ3N98lWmOH1ZYtWzQ0NLZt28b8fCdy2LBhu3fvLtzFB1ATmkQUHx/v5OR09+5d0VY/P7/jx4937NjxwoULhoaGWVlZc+bM8fDwKMgoLtXUqlWrOXPmuLu7Z2RkzJs3b/78+Q4ODh07drSysrKwsLCwsODxeMLkOCYmxtfX9/bt29nZeT9G586di8XmQVm2bt365s0bmVN3p02bNmjQIK4DLCO+fctb5VmasB5kcjKFhMjuoKFBVaoQd5MolGPKlAJ1a9KE1q0jBwdKSUnJzf1Zhn28AABf00lEQVSVKFtmty1btty86bRjxy/yjjN6NJ0/TwcPkrzaRAYGedlqbGzsnDlzDh8+nJWVRdSKyO/x4xfbt/tNnDhRoSf+enp6V69enT59+sGDB8Vn1bRt23bPnj35rcSdR1NTc+vWrRMnThSuaigQCOrUqePq6tqiRQslfx4AZY9AIGBZksvR0ZFhGGdnZ5YjaGlpcX2TtaBWr16t0ILCWlpaq1at4jrqn+ApdhmQmprq5uYmvvpRvXr1jhw5wnVcZceePYVbeeXHf0OHcn0OBcDyFLsQWG6NCw0ePJhld+GaNCdP5vMuX758qVmzpthRWxExRH5E9OuvvxZ8NUJxnz9/PnjwoLu7+7Zt254/f15MV1t14Ck2lCS2p9iXL1/28fERfit36NDB2dm5SpUqnz9/Pnfu3M2bNy9cuDBt2jRhMUUej9exY0cbGxtzc/Pc3FwNDQ1LS0sbG5uirwlbYubOnSscOn3mzBn2h+9WVlZOTk5ubm4//7ADUAJ9fX13d/eVK1cGBAQkJSVVqlSpatWqXAdVplSuTLa2JBDIbk1Opu/fyciIrdxJwW5glSlPnjxh7/D48eOiv8uECRNC5Nz73bdvX5cuXYYNG6boMStXrjxq1KgSuUgA8IPmyZMnhV9NmTJly5YtoocIU6dOnTlz5qZNm4Sz56ytrS9fvixvGcBSpEaNGtu3b9+2bZu/v//bt2+DgoISExNTU1MZhjE0NDQxMbG1tbWzs7O3t+ewEhioAw0NjfoscymhCHr0oKAgua0HD9KYMeTsTD9XaVR3SfLKD/4nUd7c4AILDg5mr6i/adOmQmSQKo5hmO/fvxNRuXLlijIxH0DVaAYFBRGRkZHRsmXLxP9x83i8JUuW7Nu3T/hjxd3dvQykjyJ8Pt/e3t6+9NYOAQBQqgoVKrB3KHpRM/ZVZIjo6dOn6enpenp6XF8M5fj69evy5ctPnDgRExNDROXKlXNxcVm4cCH7PE6A0oIvfKBgZ2dnJrUSqomJScOGDYVf//LLL4oeGgAAikNUFMXFkYYG8XgFmnBdEPmOR+rWrZvwi5wccnCgQhSoyHcuJsMwpXe+poRXr141btx4+/btwvSRiL5///7vv//a29u/evWK6+gAlEDz69evRCRvGFaVKlWEX1SuXJnrUAEAgLKzyc6Oypcnd3dKTCRdXeUctlOnToaGbVNSHshsNTAwmDFjhvDr6Gjy9SXWYt6yWVhYsHfg8/n59ikV0tPT+/fvHx0dLd0UHR3t5OT07t27MnOrFdQWn2EYIpK35IBo5SgMCgQAEImNpdjYvK8/ffo0Z84cBwcHGxub9u3bL1iwICIiovjeOj2d4uIoMpImTaK5c5V2WB6PZ2PjRWQr3aSnp3f06FHRDYVC69ChA3uHli1b6urqCgSUman861aSPDw8WNbLCQ0N9fDwKPTBq1QhOzvCc0HgnLqsaggAoETCYeGfP9OBAwcmTZqUkZEh3B4SEnL//v0tW7bs3bvX1dWV6zAlOTvT7dtyW5OTKxE909ZenZNzUCD4SkQ8noGWVh8trSWjR9cjIgMDunSJFLpLmJ1Nx48LK40TUfUmTbb/vLpsDSIisiIaT0SNGo3ftYt27aLAQFq+nPT1iYiaNqX8lidUOdevX8+3Q6EXqjAwoLdvuT5DAGSQAACFILzJeOXKld9++00gVTcoJSVl+PDhFStWbNeuHdeR/iQykvJbV8Y4K2s10Wqib0TZDGOdlaWVlZXXlppKqamyM0jhPBzp2Thnz9KIEeIbJsp60xpEO4lIfB2Z/56ZU4UK9OUL1xdOQd++fWPvEBkZyXWMAEWFDBIAoJBmz54tkFN2MicnZ86cOQ8fPuQ6xp88fEgsRXu6dKEXL+jGDWrShIhkzBfW0SF9fdn53Pr1NGUK1akjub1rV5o586f1DLOysp48eRIYGJiTk0NkReSkoRHbvn1s7dq1hR2OH6eEBHJ1JVNTIqL27bm+aoozMjJi72BsbMx1jABFhQwSAKBwgt68ecPS7Ofn9/Xr13yr5JQkDQ2Sqrrxg6YmEZGREVsfeXR0ZKSPRGRqShs2SGzTJmqbmdn89evXjx7Rn39S8+YWt279uLF57x4lJNCSJVSvHtfXq7CaN29++fJllg5YKRfKAMyPAQD1UrcuaWlRgwZFP1IIezPDMPLWXwEdHZ0WLVqU1eWnx4wZo6Ojw3LuY8aM4TpGgKJCBgkA6qVVK0pMpL/+KvqR8q/EqKGsao1QqtSsWXPdunXyWtetW4f1cqEMyHuKfeTIEW9vb+nmtLQ04RdmrE814vMbmw0AoDqUVImvLo/HExZEk0lDQ0M0tg/UzZ9//mlhYfHXX38Jiy4LVaxYcd26dWVv5UZQT3kZZFZWVpZoup0sCQkJXIcKAKAcHz9+TExMLFeunLzFFAqmcrt27e7duyevuWfPnubm5lyfa2EkJNDvv5O8n/rCYo2xsfTfIjUy1KlD//zD9WlwbdiwYQMHDrx79+779++JqF69eh06dGB5ug1QumAmDQCoi5ycnI0bN27evPnLf9OJbWxs5syZ8/vvv/N4vEIccNOmTe3btxc9qxFnbGy8fv36wsX59Ss1bPijYrlMSUnEEnK1avTuXV49xUIIDaVTp0j+3VUiosxM8vGR2+rnRxs2EJIlHR2dbt26dWPJtaFMi46OfvDgwffv383Nzdu2batS8+qKTlNUCBcAoAzLzMzs16/ftWvXxDcGBwdPmDDhzp07Hh4ehVh5q2nTphcvXhw+fPiXnyvcVK9e/ejRo3Xr1i1cqBoaZGiYTwbJztiYirKOWOPG9PIlyVqTj4goNpaGDCELCzp2THYHHo/q1EH6CGotKSlpxowZHh4e2dnZwi0aGhpDhgzZvHlz2Vi6k4g0cUcdANTB0qVLJdJHkSNHjrRp02bKlCmiLfHx1KBB/oWseTwi6kQURHSM6C5RDJEV0S+hoa4DB+q8fZtX0VBRVlYUGiq3NSmJTEzI2JgSE/O2nD5NhobUvbsyL1ejRnKbhJdFR4e6di3kwQcMoDt3iIhycoiInj0j8af9woqVrVuTvGlIVlZ06RKp5lyU0FDi86lIgyOg9EtKSurUqdPPyy9Rbm6up6fn06dPHzx4UDaSSDzFBoCyLyMjY+vWrSwd1q1bN3nyZNGzbD5foVto+kS/Ev0qvsnQkAr1YLwQp0YuLmRuTt+/K7bj1atkbU329j+2WFuTpiaVK1e8ATMMvX3709I4OTkyVsphqXyekpLvyjrcYBhq0YI0NCi/JWmgjFu6dKlE+igSGBg4Z86cvXv3ch2jEiCDBICy7+nTpyni66JICQ8PDwkJsbGxEb40MSH2So7C7JB9pGDJyM4mgSBvdkvBff9OvXpRnTr0/v2PjZ6e9P07Va9evAHzePTmTd5K2enpNGUKde5Mw4f/6NC6NX34QH5+JG8iu7Y2GRgUb5CFwzAUE1Ok8QNQBmRlZbEniJ6enn///XcZWJdIk4gePHggfFG3bt2ycWcVAEBctLwxfWKioqJEGWSZl55ODEMSU4CMjCi/1fiUQ1ubtLWJiMzM6PRpyVbhw2tj48IsjQPAuYCAgETREBNZMjMzX7x40bFjR64jLSpNImrXrp3wxcmTJwcOHFilShVFj/L582euTwQAQC6zAiQjBekDAMCOPX0UKhsVEmU8xY6IiOA6KgAAZWrWrJmOjk6m/Ge95cqVQ/VvKEnz59OLF3T+fN5y5FBmlC9fPt8+ZaOsj4x/uaJbkgAAZYOxsfGoUaN2794tr8Mff/yBFQihJB05QmFh9OULJm6XNbVq1apatWp4eLi8Dubm5k2aNOE6TCXQJKJv/00bMzU1JSKWJRYAAEqptWvX+vr6vnnzRrqpQ4cOc+fO5TpAUEeqMBmrDEtOTj569Oj9+/djY2OtrKy6dOni4uJS3EUMeTyem5vb5MmT5XWYPXu2lpYW19dGCfhEVP4/qA0JAGWVqanp/fv3x48fry2cxEFERAYGBnPmzLl69aquri7XAZYaenrE56vobGgAkWvXrtnY2EyYMMHDw+PSpUsHDhwYOXJkvXr1njx5UtxvPWnSpF9//VVmk4uLy+zZs7m+NspRpKoDqampR44c6dOnD9dnAQCQPxMTk507d0ZFRV25cuXo0aM+Pj7fvn1bs2ZN6Uof9fXJ2prLetpmZnTlCnl5cX0hAOTz8/Pr16/fd6kqqZ8+ferevXtQUFCxvjuPx9u7d6+Hh4e9WMFVOzu7vXv3enl5lZkBM4UZwZuTk+Pj4+Pp6XnmzJlUYVEvAADV9vHjx7CwMD09vUaNGvXo0YPrcBRz9y5FRf14uWYN8fl04gQRUXo6EVFOTt5LmapXpxYtlBmPOq/znJGRd82lCQR5X7AUPNfTo1L1B0tpNW3aNHkz5xISEtzc3E5L15FSthEjRowYMSI2NjYmJsbc3LxccRfrL3GKZZCPHz/29PQ8duxYQYqrAQCoghMnTixcuDAwMFD4UktLa8iQIWvXrrW2ti70MYu77La4gADKt3Jcejq5uspt1dCgEyd+qvUo/BGekUE+PrJ34fOpdm2qXLnkTlOkXDkKClLRYpDR0VS7NrFXaxEIflqkUYKZGX38yNYBii44OPjx48csHS5evJiUlFQyNb0tLCzKaqXtAmWQQUFBR44cOXz48MePHyWazMzMnJ2duT4LAADZlixZsnTpUvEt2dnZHh4eN27cuHfvXs3CPgx+/brkTqFGDZoy5ad7kOJycujMGdLUpAEDftoeH/8jO8zNJZk/p6Oj2e4mGhtTbCwHtWZOnqToaCpCel+M9PSoVi0KDpbbQXj3kSX9rVNHoQUzoTACAgLYO2RlZQUHB5eNCdEcYvvZEBUV5eXl5enpKZ3LGxoa9u/ff8iQIT169CgbU4oAoOy5c+eORPoo8uXLl5EjR96/f59XqOWrS2btFiEdHWJZ0zs5mc6cIT09On78p+3x8fT77z/ulgkElJxMJiZ5LzMy6P590tUllupt9etzU6qwXLliX5u70IyMiGUahkBAGhrE51NcHNeBqrfc3Nx8++Tk5HAdZqkn48dDSkqKt7e3p6fn9evXpT+GgQMHDhkypE+fPnp6elwHDwAlKjaWxo+nMWOob1+uQymYTZs2sbQ+fPjQz8+vTZs2XIdZLMzM6OTJHy/nzqU1a+jcubzPLjycqlUjKyu6fp3rQAGULd9nC3w+v9DPH0DkRwaZk5Nz7do1T09Pb2/vtJ9XS9XV1S1fvnxYWBgRnRT/mQQA6uThQzp9mgSCUpNB3r17l73DvXv3ymoGKUE4J1VqZioUo2XLSFb50TzCz2LyZNLXl93B1JQ2bCjRu91lRoMGDerUqSMa+iytY8eOZXVsYknSJCI/Pz9PT08vLy+Jee9aWlrdunUbMmRI//79t27d+r///Y/raAGAS8KppqWlBrJAIIhnmRNLRETfkVJB8cjJoTVr6Oe7MTJcvMjWOnYsqccfOMq3fv36fv36MbJ+Wmlra69Zs4brAMsCTVtb2+CfRwXz+fyOHTsOGTJk4MCBSNIBoJTi8/lmZmZxrEPSLC0tuQ6z2IWEhJw/f/7Bg49EhqtXx547F12jRo0WLfoQdSEqzBhQcdeuUaNGKjrrhVuamuTnRywzOiZPpu/fads2uYM+K1ZE+lh4jo6Ou3bt+vPPPzMyMsS3m5iYHDx4sIVyq1upK03x9LFNmzZDhgxxcXEpG2t+A4Caa9++/dmzZ9k7cB1jMUpPT58xY8bu3bsF/xUq/PiR/quosYmoY27uEaKKhT7+o0fUowcNHEgY3CRTw4bUsKHcVuG6JH36ULVqXAdaRo0bN65Lly7bt2+/f/9+dHR0xYoVO3fuPGnSpPLly3MdWhnxYxxkt27dFi5c2K5du8LNTAQAUDXTp09nySBbt25dhgdBMgzj6up64cIF+V3uREd3T0t7rC9vIF5+kpJ+/C+ACqpRo8batWu5jqLM+rGq4fXr1zt06GBra7t06dKQkBCuAwMAKKpOnTrJGsDNI3quo3Pz8OHDZfgPZi8vL9b0kYgoO/vt5s2buY4UAEol/qlTp5ycnLS1tYWvQ0JClixZYmtr26FDh7179ybhr0sAKM2WL19+9OhRW1tb0RZNTROiJpqanWxsbLiOTgmEObB0JnzgwIGC7H7kyJGSjPbChQt9+/a1srLS19evXbv2tGnThFU+AKDU4Ts7O585c+br16/bt293cHAQbmUY5t69e+PGjbO2th42bNjVq1dRexMASqkhQ4YEBQW9e/fu0qVLd+7cEaYsZebuo6EhDRtGY8dKbn/16lVBdg8MDBSNklS6yEg6dixv8n5ubu6YMWP69u174cKF79+/p6enBwUFbdmypWHDhufPn+fwAioRn0/16lH9+lzHAVAi8sZBmpubT5w4ceLEicHBwZ6enocPHw4KCiKi9PT0o0ePHj16VENDQ9gzLS2t0INmAAC4Uq9evXr16hFRSgrXoSibpycRkUDw03rNaWnp+e2nQ6Sfm8uPjRVoavL5/B8r1ijL7Nl09CiVK0ddutDixYsPHjwo3Sc5OdnV1fX58+fCT6eERUdHf/z4UVNTs169ekbKKL1YsLwdoCyQXJPGxsZm0aJFixYt8vPzO3z4sJeXV0xMDImtEVS+fHknJ6dhw4Z169ZNk5MVrwCg2Hz9SmvWULqc3CM0lIjo1SuaMEF2By0t6t2bevfm+jTU0pgx5OEhvqEKUSLrHkuI5goEZGWV93rnTho/Xpkhpabm/W9cXNyGDRvkdcvIyFi2bNnRo0dL8nL5+vrOnTv33r17wpKBmpqa/fv3X7t2bRGXKsEqv6A+5KaArVu3bt269d9//3358mUPD4/z589nZmYSUUpKyuHDhw8fPlyuXDlXV9dhw4a1adOmzDwPAlBzJ09SvjMrQkNp1y65rQ8eIIPkRq1aZGFBoifS6el9MjLesO7RjiheV1dXuEStvj5VqlRcsfn4+EiU5ZNw8eJFhmFK7FeJl5fXiBEjxEdn5eTknDp16vr16z4+PigWCFAQ+dxE1NLS6tevX79+/RITE0+cOOHh4SH6i+379+/btm3btm1b9erVP336xPWJAIAS/PorGRpSdrbs1lev6N9/yd6e/vhD7hH+G00NJW3hQlq48MfL6OiZ9ertZi2o3t7Kysrf39/KSq+4YwsPD2fvkJycHBsbWzIF3sPDw8eOHStzcH9SUpKrq+v79+91dXWLOwwdnR//C1AaFfQxtImJybhx48aNGxcWFubp6enh4RHwX639UOGTLQAo/QwMZMzJEDl7lv79l6pXV/KzTigOVlZW58+f79+/v3AkkrSqVaueOXPGSvQMW4737+UuzRcURESUlETPnsnuICrmUZCETHgrtAT8+++/6elyB4mGhoaePHlyxIgRxR3G3r0UEYHlfKAUU3ggY7Vq1ebPnz9//vxnz555eHgcPXo0Ojqa67MAAABJDg4O/v7+GzduPHv2bFDQJ4bR1ta2MDXNaNCggaOj47hx4/KdO3LyJLm45PMujx5R8+b59GnIsjYLERHZ2NgYGBiUzGW5c+dOvh1KIINs165kTheguBR+KkyzZs2aNWu2fv36a9eucX0WAAAgg7W19dq1a9euXfvbb7RvH23fTr/+qsDu9eqRgwNlZspuTUqioCAyNqZatWR3CA6mhAQionbt2tnY2Igvoith9OjRJXZN5N2UFcFtEYCCKOpkak1Nzd4YNg8AqiQ5mVxd6ft32a3CuSZpaWx3zqpXp2PHCNUm6tenBw/ktl6/Tt27U6tWJO82Qv/+dO4cEZGGhsbOnTt79eqVLWuMbePGjWfNmlViJ2Vubs7ewcLCosSCASi9CvoDMjY2loiMjIxEq9cAAKimmBi6cUPufCAhgUDu6D0iCgyk1FTl10dUZ126dLl48eLYsWMjIyPFt/fr12/Pnj0lWWa4bdu2jx8/ZunQDg+YAQqgoBmkcIqct7d3//79uY4ZAIBNjRoUEkJRUbJb09KoQwfS16e7d+UeoXp1pI8FFRdHPj6ym4S3gV+9ImF+yON127072Nf3fGDg47S0ZCurqp069Rw+vAmfX6IBT5o0adu2bVlZWTJbK1So4OrqWqIBAZROav+QBgDKosqVqXJl2U3CNWn4fGrWjOsoy4Rnz6hbN7YOixaJv9IhGkQ0SPhi3z7KzlZsaGbR1apVa8uWLZMmTRJWphOnq6vr6elpaGhYogEBlE7IIAEAoPDMzalpU9lNr17R9+9kb0/lysnuoK1NrVtzEPOECROqVq06e/bst2/fijZ26tRp06ZN9vb2HAQEUAohgwSAghKu2Ib5JaVR/fqkqUl16yr/yM2a5TOTZtky6teP6/P/2d27dz09PbOysiwsLMzMzJo3bz5nzpwmTZpwHRdAaYJfBQBQUL/8QnPn0sCBXMcBips5kyZOpBKcr6KiGIaZNm3a1q1bRVtiY2M/fvx4/fr1EydO/PLLL1wHCFBqlOwAZgAozfT0aPXq/MtHg2pC+khEq1atEk8fRWJjY/v37x8SEsJ1gAClBjJIACher169mjZtmoODQ7Nmzfr3779r1y6WNeUAik9CQsKqVavktSYnJy9btozrGAFKjYI+xZ47dy4R1ZK38gAAgBSGYf73v/+tXr1aNOn1+fPn586dW7du3ZkzZxo0aMB1gFAkdeuSlVVpWp3Px8cnTd4i30REdE5YAB0ACqCgGeTq1au5DhUASpl169bJvOXz8ePH9u3bBwUFCQvNQilVpYrcopuqKTQ0lL1DfHx8fHy8mZkZ15EClAJ4ig0AxSIuLo7lmWBCQkL79u1zc3NLPjBtbdLVRcFwdVSQNdWw7hpAAcnOIGXe5z927Njff//t5+cnXYUVAEDC5cuXU1NTWToEBARs2LCh5APT1qYHD+QWoIEyzM7Ojr1DjRo1DAwMuA4ToHT4KYN8+/btwoULa9euvX//fumuDx48mDlzZps2bWrUqLFp06acnByugwcA1RUcHJxvn7Vr13Lyk6RpU8ovl4AyqGPHjlWqVGHpMGLECK5jBCg18jLItLS0iRMnNmzYcMWKFUFBQez7hIWFzZgxo3nz5hEREVzHDwAqisfj5dsnNjb2xYsXXEcKxaVbN7KxocaNuY7jP1paWtu2bdPQ0JDZWq9evdmzZ3MdI0CpwSeitLS0Xr167dy5U/R4WuZAkF69enXt2lXU9OrVq7Zt28bGxnJ9CgCgiurUqVOQbl+/fuU6UiguU6bQx49UtSrXcYjp27evl5eXubm5xPZOnTpdv37dyMiI6wABSg1NIpozZ87du3eJiMfjTZw4cdy4cU1lrXLau3fv3r17p6ambt68eenSpVlZWeHh4RMnTjxx4gTXZwEAKqdnz56GhoYpKf9v787jY7r3P45/JzvZJUSINdZUmthLhahSakkE105dSksrVVpbqaXKVUoXRYm6tdRWYmmRotQSay2xi61SkpBdZJ2Z3x/nd+fmSjLJicmcZOb1/MPjOOd7znzOdyaTd87yPU/1N3NxcVG6UpiXPn36dOnSZcuWLadPn05LS6tRo0a3bt0CAwOVrgsoZ6xu3769fPlyIUSFChXWr18fEhKifwV7e/tp06Z17949ICAgLS3t559/vnr1apGXJwMwN05OTvPnz3///ff1tLG1tfUvO+c4YTYcHR1Hjhw5cuRIpQsByjGLNWvWaDQaIcSkSZOKjI86fn5+n3zyiRBCq9WuX79e6b0AUBa999577du319Ng8ODBTk5OSpdpItRqcfq00GiUrgOAebCQzl/b2dmFhobKWvODDz5wcHAQQhw7dkzpvQBQRu3evbtx48YFLmrYsOHChQuVLrBsycjIiImJ0T8KUmG+/Va0bi0KGkgDAAzP4saNG0KIBg0auLm5yVrTxsamXr16onhjdgAwT05OTpGRkf/85z+trP77BCxLS8vBgwcfO3ZM7teOCdu9e3dAQICTk1ONGjWcnJxatmwp9/ROfLwQopw9JAZA+WWVnJwshKhZopvl6tWrd+HChcTERKX3AkDZ5ezsHBYW9vnnnx89evTJkyeurq4BAQHVqlVTuq4y5KOPPlq0aJHuvxqN5uzZs0OHDt23b9+PP/5oYcHDwwCUOVb29vbJycklG4VfGu+NZ0ABKJKHh0ffvn2VrqIsWr9+fd74mNeGDRt8fX0nT56sdI0oB3JycjZu3Lh169YbN25YWFg0btx44MCBffv2LWz8S+AFWXl6eiYnJz98+LAEKz948EAIUbVqVaX3AgDKq88++0zP0n/9618ffvihtbW10mWiTIuLi+vVq9fp06d1c27evLlz584OHTrs2LHD1dVV6QJhgiykUX+lYbFkrZmcnHz27FkhRN26dZXeCwAol/766y/pYvTCJCUlnTlzRukyUaZpNJqgoKC88VHnyJEj//jHP5QuEKbJonfv3kKIrKys1atXy1pz1apV0gNtu3fvrvReAEC5VJxH8pTsHBHMx9atW0+dOlXY0gMHDuzdu1fpGmGCLIKCgpydnYUQn3766fXr14u52s2bN+fNmyeEsLGxkTIoAECu4jxGjyEzoV94ePgLNgBKwMrZ2Xnu3Lnjx49PS0sLDAzcsWNHmzZt9K9z+fLlnj17pqSkCCHGjx9fvXp1pfeiaHEvPMSFh4eH0jsBwNTUr1/fxcVFGhOjQJaWlgU+ZhZ6ZGVl2draKl2F8dy9e1d/gzt37ihdI0yQlRBi7Nixv/zyy/79++Pi4tq1azdixIhx48Y1bdo0f+uYmJhly5YtWbIkKytLCOHj4zNjxgyld6FYXvx2H61Wq/ROADA11tbWI0aMWLJkSWEN+vTp4+7urvtvcrIo7KsoM1MIITIyRFJSwQ1UKmHCDyHXaDQ//PDDqlWrzp49q1arq1Sp0r179ylTpjRo0EDp0kpd3sFWS9YAKAErIYSlpWV4eHhQUFBERIRGowkLCwsLC6tevXqrVq28vLycnJwyMzMfP3587ty5q1ev6oJUnTp19u/fX15Or7i5uSUkJChdBYCyJTY29s6dO7a2to0bN65YsaIiNcyaNevgwYOXLl3Kv6hWrVpffLF0zx7x2muiYkUxdapYsKCIrX32mdBzb/dnn4np0xXZy9KVkZERHBwcERGhmxMfH//DDz9s3rx5/fr1Jn+plY+Pz/Hjx/U0eOmll5SuESbo//8usbOz27t375dffjljxozMzEwhxN9//71jx47CVhs4cOB3333nUn7+nn306NGvv/46ffr0K1euSHP8/f0ZhwgobVqt6NRJuLuLLVuULuV//f7779OmTTt58qT0Xxsbm379+v3rX/8y/mU5Tk5Ohw8fDg0N3bBhg+Y/j7VWqVQ9e/b87rvv9u71fPttMXu2mDlTVK8uKlUq9BhkRobIzBQVKgg7u4IbWFgIT08j75yRjB8/Pm981Hn27NnAgQMvXLjQqFEjpWssRYMGDVq1alVhS1Uq1cCBA5WuEaZI+7/i4uI+++yzwg77Ozk5DR48+MyZM9ryKS0trVWrVtK+bNu2TelySkK6IiooKEjpQoBiefpUK4TW3l7pOv7XqlWrCnzQS+XKlaUzLYr466+/1q9fv3DhwrVr1966dUuauWiRVgjtxIlFrz5tmlYI7bx5SpWvmHv37ul/bM/QoUOVrrHUDRkypLDdHzdunNLVoRyTPlrr1q3Lv+j5ayOqVKkyffr06dOnx8fHnz17Ni4uLikpyc7Ozs3NrUGDBn5+fuX6+VoODg5TpkwJCQlRuhAAirl27drYsWN1R/vyevz4cf/+/c+fP6/IYzxq1KgxePBgpbun/JGuv9LTwBzGsgkLC7O3t//++++1eY5RW1pahoaGLly4UOnqYJoKvbq2SpUqb775ptLlGV6PHj2sra1zcnKULgSAMr766is93wBRUVH79u1jmNtyJCYmRn+DJ0+eZGRkVKhQQelKS5GNjc2KFSvGjx+/ZcuWmzdvqlSqxo0bDxgwoF69ekqXBpNldvdnWVtbN2jQQHc1JABz88cff+hvcOTIERJkOWJvb6+/gbW1tZkM7uPj4zNr1iylq4C5+G+C/Pvvv3/++eezZ88mJibWq1fP39+/W7duJjkIYu/evStXrly5cmWlCwGggMePH+tvEB8fr3SNkMHf319/g/J+/RVQNv1/gpw3b97cuXOlUR51XF1dv/rqq6FDhypdpIHNnTtX6RIAKKZSpUpPnjzR08DNzU3pGiFDx44d69atq2fQ7JEjRypdI2CCLIQQn3766SeffPJcfBRCJCUlDRs27Msvv1S6SAAwmFdffVV/g3bt2ildI2SwtrZevXq1jY1NgUtff/31UaNGKV0jYIIsrl+//tl/xp/18vIKDQ395ptvQkNDvby8pJkzZszggUgATMZ7772n55xmvXr1TPImQtPWsWPH/fv3e3t7551paWk5ZsyY8PBwnsgClAarNWvWSOMgBAQE7Ny509XVVVrw6aef9u7d+8iRI8+ePZs/f76e0UoBoBxp1qzZ559/PmXKlPyLrKwcNm7caOS7LjQaceWKyM4ueKl0n3FcnDh3ruAGNjaiUSNhbW3Mkg1Mq9UeOXLkyJEjDx8+rFKlSrt27Tp37iz3ysXAwMDr168fOnTozJkzz549q1Wr1htvvFGrVi2ldw4wWVaXL18WQlhaWq5YsUIXH4UQrq6uK1asaNKkiVqtPnTokNJ1Aiijnj0To0aJwu5OUauFECIzU3TuXOgWatYU338vjDkC4+TJk729vadOnRodHZ1n9htduy5t2dLYDy+ZPVvMmVNEm/Xrxfr1hS4dOVKsXi0aNRIqlSh3z165deuW9KCKvDObNGmyfv16Pz8/WZuysrLq0qVLly5dlN4nwCxY3bp1SwjRpEkTHx+f55Y1atTI19f3woULf//9t9J1KiMzM1P3NG3jP+sMKBcePRJbtvx/UiyMWi0OHCh0qa2tWLRI5PkD1hj69u3bp0+fP/64HBh428XF5rPP/N97r5qTk1FrkLRsKVq0KPRZhXFxIiZGeHiI/1xYVADpus2hQ0VIiChqZJuyJSYmJjAw8OHDh8/Nv3z5cseOHSMjIxs2bKh0jQAKZnX37l0hRN26dQtcXL9+/QsXLuS/ycZM7N+/Pzg4WJrWFvYFD5g3b28RFSUK+zMzM1P07Cns7MTu3YVuoV49Y8dHiUqlatzYVwhfGxtlCpD06CF69Ch06eLFYtIkMWSIWLSo6E2Vr/gohJg6dWr++ChJSkoKDQ3dt2+f0jUCKJiVWq0WQjg7Oxe4uLD5AKDTuLFo3LjgRenpQghhaSlef13pKlHGpKenb9u2TU+DiIiIhw8fVqtWTelKARSAQVYBAAq4detWZmamngZarTYqKkrpMgEUjDEO9Gnfvv3JkyeVrgKAAdy7JxYtEs89EDsjQwgh0tJEWJgQQpw+LcaMKXQLvXuLrl2V3g0Toj8+SjKkdwhA2UOC1MfV1bV169ZKVwHAADZtEsuWFbwoI0NIA05ER4v/uTn7f127RoI0pBo1ahTZpnbt2kqXCaBgJEgAZuG994SHx/PHINPSxKRJwtFR/OMfIixMtGol9DwAr2NHpffBtFSvXr1p06bnz58vrEGNGjW8vLzmzJmzZ8+eu3fv2traNm/efMSIEbobHAEoiASpjO3bt69YsaIE93dLoy89e/ZM6T0AyhkHBzFixPMz4+PFpEmiQgXx2msiLEzUqydGj1a6UHMyb9687t27F/ZNOGrUKD8/v7w3a//999+7du3q3bv3Tz/9ZOSB3wE85/8T5LZt2w4fPpx/8ZMnT6SJOnXq6NmKNCRQeZSQkJCcnPz06dPc3FxHR0cnJ6eqVasa4XV/+umn3377rcSrJyYmGq+PAKB0dOvW7Ztvvvnggw9yc3PzzrewsPjoo4++/fbbxwUNVb9jx47x48evXLlS6fIBs/b/CfLp06dPnz7V0+7evXtKl2owUVFRO3bsiIiIuHr1alJS0nNLHR0dfXx8unTp0q9fP19f31KqYdWqVWP0XLFfuLFjx966dctLz+DCAPK4f1/4+4vkZH1t4uPF4MFCCLFxo9i48fml3t7i6lVhY6P0npiocePGBQQEfPnll4cOHYqPj3d3d2/fvn1oaGh4ePjjwp50JMTq1asnTZpUv359pcsHzJd5ncWOjo6eOHHirl279LRJS0s7derUqVOn5s6dGxwcvGTJktK4lNvFxeX1Eo2P5+joaKzeAgzA2lrY2Cg50rWVlXBwKCJB6ufsLGQ+otmQmjcXDg6iVSvFCjCCl19+ee3atc/N/Oc//6lnFY1Gs2fPngkTJihdO2C+rGJjY5WuwUhOnDjRs2fPvOd/nZ2d3d3d3d3d3dzctFptYmJiQkJCQkKC7sBkeHj4iRMn9u7d26xZM6XLB8olGxsRESEqVFCsgOrVxYMHhS6NjxceHqJKFbFkiRg8WAwaJDZsMGp5f/3117p1686cOZORkVGrVq0333yzV69eFnkSa2CgSEtTrPeM4NChQxs3brxy5YpGo6lfv37fvn2lHrh//77+Fcvv1VOAabDy8PBQugZjSEpK6tevnxQfvb29Bw0aFBIS4u/vX2DjGzduhIeHb968+fz58/Hx8X369Ll06RIH/4CS6dDhf/6blpZmb29voeBhvTJj6dKlkydPzs7O1s1ZtWpVixYttm7dag6j2GRmZg4fPnzLli26OadPn96wYUOHDh22bdtma2ubLj3RqBDcSQMoy1y+xJcvXy7d0Ddo0KDLly/PmTOnsPgohGjYsOHkyZPPnTs3Y8YMIcS9e/e4ZBt4QRcuXBgwYICrq6uTk5OtrW3btm1//PFHc37c/MqVKydMmJA3PkrOnj3buXPnNNM+8CiEEGLkyJF546POkSNHgoKCXnrpJf2rl9516gCKw1wS5Pbt24UQNWrU+OGHH+zs7IqzikqlmjNnTmBgoBBC/8NbAei3du3a1q1bb968OTk5WQiRm5sbGRk5fPjw4ODg/BHKhOXm5kr7m5qaOnny5MKaRUdHL168WOliS9epU6c25r9r6T9OnDjRsGFDPau7uLj07NlT6Z0AzJq5JEjpipkePXrYyLyjMiQkRAhx+/ZtpfcAKK/OnDkzatSoApPirl27pk6dqnSBQghhbf3ffw3u6dOnc+fObdy4sbW1ta2tbZ06dQYPHpySkqJnlU2bNindJaXr559/1t/gyZMn7du3L2zpkiVLXF1dld4JoGyJi4vbtGnT0qVL165de/PmzdJ+OXO5F1sagrsE1zI6OzsLIfRfjgNAj7lz56rV6sKWfvPNN1OnTnV3d1e2yDffFLNmib59Db/lmJiY119//caNG7o59+7dK3J8tOjo6NzcXCsrk/2Kjtbz+Mj/NDh27Njo0aOfO9Pt7Oy8dOnSt956S+k9AMqQp0+fTpw48YcffsjJ89ytLl26rFy5svQuqjbZr6fneHp63r17V8/jswojrVKtWjWl9wAol9Rqtf7B83Nycg4ePNi/f39l67S3F59+avjNajSa3r17542PxaTVak37IlGVSlVkA2dn582bN0+dOnXXrl137tyxt7dv2rRp3759XVxclC4fKEMyMjLeeOONEydOPDc/IiKiTZs2J06c0P9QmBIzlwQZGBh49+7dAwcOREREdOnSpZhrXb9+fc2aNdLqSu8BUC4lJCRkZmbqb/NAz3A75dyePXvOnj1bghVr1aplXUrn1MsG/Zc5CiEaNWokTfj7++u58RHAokWL8sdHSWxs7Lvvvrtv377SeF1zuQ5yzJgxFhYWWq02KChowYIFRY6CmZycvGrVqnbt2qWmplpYWIzmWblAiTg4OBikTTm1d+/ekq3YtzROqJcl/fr1038YUvHD0kC5oNVqv//+ez0N9u/fX0qDp5rLMcjWrVt//PHHCxYsyMzMnDp16rRp09q2bduhQ4cqVaq4ubm5ubmpVCppRPEnT55ERkYePnxYdzHBlClTWpn2EyGAUlOxYsWGDRvqP43bvHlzpcpzchJubqJu3dLa/t9//12CtapVq6bnTm3T0LRp07fffruw33ydO3eW7mIEoN+jR49iYmL0tzlz5kxpnMg2lwQphJg/f76zs/PMmTNzcnK0Wu3x48ePHz+ufxVra+vZs2eXkXtFgXJq5MiRH3/8cWFL/fz8WrRooVRtdnbi9u1SfOa1vfznOdavX3/79u1ubm5K9YnRfPvtt0KI/CGyV69e69atK/JCSQBCiOKMHZuamloaL21GCVIIMWXKlP79+y9cuHDHjh1xcXF6WlapUiU4OHjy5Ml1S+/oBGAexo8fv3PnzgL/YHNwcAgLC1M2Kzg7l+LGmzZtqn9cnj59+lSrVu3s2bNPnz6tXbt2jx49hg0bVswxa8s7a2vrlStXjhkzRnqqYU5OTqNGjfr27ct150DxeXh4qFQq/TfeeXp6lsZLq0z7dr/CaDSaqKioK1eu3Lp1KyUlJT09XavVOjg4ODs716tXz8fHx8/Pr2w+da158+Z//vlnUFBQeHi40rUAxZWWlhYaGvrjjz/mHdbHz88vLCxMwVPYRhATE9OgQYOMjIwCl6pUqpMnT3KRDIAX0bp169OnTxe21M7OLj4+vsRPZh46dOj69evXrVs3ZMiQ5xaZ1zFIHQsLCz8/Pz8/P6ULAcyCo6PjmjVrZs6c+dtvvz148MDZ2bl169avvvqqyZ+p9PLyWrRo0bhx4wpcOnHiROIjgBc0ffr0oKCgwpaGhoaWOD7qZ6YJEoDx1a5d++2331a6CmMbO3aso6Pjhx9++OTJE91MR0fHGTNmTJo0SenqAJR7vXr1mj179qxZs/KfVe7Ro8ecOXNK6XVJkP+VkJAghHB0dJT75EMA0GPo0KF9+vSJiIiIiopSq9UNGzbs2rUrD+UDYCgzZ85s06bN/Pnzjx49mpubK4Tw9fV9//33R44cWXqX5JEg/0t6rlp4eLieo8EAUAIVK1YMDg4ODg5WuhAApqlz586dO3fOyMiIj493dXV1cnIq7VckQQJAeZKYKLKzRdWqStcBoOypUKFCrVq1jPNaZfF2YwBAYdq1Ez4+4j9PPAAAZZAgAaA8efhQJCWJZ8+UrgOAeSNBAgAAQB4SJAAAAOQhQQIAAEAe7sX+rylTpggh6tevr3QhAAAAZRoJ8r/mz5+vdAkAAADlAAkSAMzUo0ePLl68mJOT4+3t7ePjo3Q5AMoTroMEALNz9erVzp07V6tWrVu3br169XrppZcaN268c+dOpesCUG5wDBIAyhaNRqSkFLpUqxVCiORkodEU3MDRUVjp/WqPjIzs3Llzenp63pnXr18PDg7+8ssvJ0yYoHQHACgHSJAAUIY8eyYaNxZ//VVEs9q1C11UqZK4dElUr17w0szMzEGDBj0XH3U++uij+vXr//nnn1FRUbm5uQ0aNAgJCWndurXSvQKgzCFBAkAZYmkpKlUSaWmFNkhOFlqtcHERKlXBDVxd9R2D3LVr17179wpbqlare/XqpZWOcwohhFi4cGG/fv3CwsIcHR2V7hsAZQgJEgDKEFtbcf68vgYuLiIlRdy7J5ydS7L948eP62+QNz5Ktm7dmpqaunfvXlVhoRWA+eFOGgAwI4mJiSVYa//+/T///LPStQMoQ0iQAGBG3N3dS7biTz/9pHTtAMoQEiQAmJEOHTqUbMWrV68qXTuAMoQECQBmpHv37g0bNizBirm5uUrXDqAMIUECgBmxtrbesmVLpUqV5K7o7e2tdO0AyhASJACYl5dffvn8+fP9+/e3trbOO1P/Wr1791a6cABlCAkSAMxOzZo1N23alJiYePLkyaNHjz58+PDixYsDBgworL2vr++IESOUrhpAGcJ4kABgphwcHPI+b2bNmjUZGRn5n47dtGnTXbt22djYKF0vgDKEBAkA5Ym3t3j4UNjbG37LFSpU2LFjx6+//rp+/fpLly6p1er69ev37dt30KBBec93A4AgQQJA+XLsmMjN1ffcwhehUqm6d+/evXt3pfcSQFlHggSA8qRCBaUrAADupAEAAIBcJEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEigtKSmpubm5ipdBQAAhkeCBAzs4sWLAwcOdHFxcXZ2trOza9my5erVqzUajdJ1AaUrJyfnwYMHsbGxShcCwBhIkIAhrVu3rlWrVps2bUpJSRFCqNXqs2fPvv3222+++WZmZqYBXyg5OXn37t3ff//9unXrbt68qfR+w6xdvXr1H//4h4uLS82aNT09PT09PSdPniz9CAAwVSRIwGDOnz//z3/+Mzs7O/+i/fv3T5w40SCvkp2dPXXq1OrVq/fq1WvMmDHDhg1r2LBhp06dbt26pXQHwBzt2bOnRYsWW7duffbsmTQnNjZ24cKFzZo1e/DggdLVASgtJEjAYObNm6fnwseVK1c+fPjwBV9CrVb36dNnwYIFut/WkkOHDr3yyivXrl1Tug9gXmJiYgYMGJCRkZF/0Z07d/r376/VapWuEUCpIEEChqHVavfv36+ngVqtPnDgwAu+SlhY2J49ewpclJiYOHLkSKW7AeZl6dKl6enphS2NjIw8ePCg0jUCKBXmmCAzMjKOHTu2c+fOS5cuFXlp2q1bty5evHjx4kWlq0ZZl5KS8vTpU/1tXvyk3vLly/UsjYyMvHDhgtI9ATNS5B9FL/5XE4CyybwSZGpq6oQJEypXrhwQEBAcHOzn5+fp6fn5558/d0Iwr2HDhvn7+/v7+ytdO8q6ihUrqlQq/W0cHBxe5CWysrKK/GPm1KlTSvcEzEiRd16/+JUbAMomM0qQ8fHx7dq1e+6cS3Jy8vTp019//XVuG8QLsrGxadKkif42zZs3f5GXSEtLK/KqsuTkZKV7AmbE0dFRfwMnJyelawRQKswoQQ4ZMiQqKkoIYWVl1b59+3HjxgUFBdnY2AghIiMju3btyuDPeEGjRo3Ss9THx6dNmzYvsn1XV1fpE6uHp6en0t0AM9KqVSv9DVq3bq10jQBKhbkkyP379//2229CiFq1ah0/fvzIkSPffvtteHh4dHR0y5YthRAnT5788ssvlS4T5du7774bGBhY4KKKFSuuWbPG0tLyRbZvaWnZsWNHPQ0sLCw6deqkdDfAjIwZM0bPUg8Pj+DgYKVrBFAqzCVBrlu3TgihUqk2btyY94/mGjVqHDx4sH79+kKIWbNm3b9/X+lKUY5ZW1vv2bNn9OjRVlZWeef7+vr+/vvvBjkYM2XKFD1XWw4fPrx69epKdwPMSPv27SdMmFDgIisrqzVr1hR5mhtAOWUuCfL48eNCiMDAwLZt2z63yNHRce3atSqVKiMjY86cOUpXivLN3t5+5cqVd+7cWb169cyZMxctWvTHH39cvHixyJN9xRQYGPjFF18UGCLbtm379ddfK90BMDuLFy/+6quvKlWqlHfmSy+9dPDgwTfffFPp6gCUFqsX30S5IN0wWNgt1W3btu3fv/+mTZv+/e9/T548uUGDBkrXi/KtRo0apTc048SJE5s1azZ37tyjR49KF+/Wrl373Xff/eCDD4q8ShIwOJVKNX78+FGjRh05ciQ6OtrW1tbf379ly5ZFDk0AoFwzlwTp6OiYmZmp5yq0zz//fPv27dnZ2TNnzty0aZPS9QL6dOzYsWPHjs+ePXv06JGDg4OHh4fSFcHcVaxYsVu3bkpXAcB4zOUstnSl49WrVwtrUKdOnffff18IsXnz5kOHDildL1C0ihUrent7Ex8BAMZnXgkyIiLi3LlzhbWZNWtWrVq1hBBjxoxhUD0AAIDCmEuC7N69uxAiNze3X79+hT282MHBQXpkXHR0dO/evRljHAAAoEDmkiBDQkKkm2Hv3r3btWvXZs2ajRo1aufOnc8169at2+jRo4UQhw8f9vX1/eKLLzgYCQAA8BxzuZPG0tLy559/7tat2+XLl4UQ58+fP3/+fEpKSlBQ0HMtV6xYYWFhsWLFigcPHnz88cdKFw4AAFDmmMsxSCGEl5fXyZMn582b5+XlpaeZSqVavnz50qVLGZkZAACgQOZyDFJib28/bdq0adOm3bx58+bNmw4ODoW1DA0NHTdu3M8//3z06NHbt2/fvn1b6doBAADKCvNKkDoNGjQocthwKyur/v379+/fX+liAQAAyhYzOosNAAAAgyBBAgAAQB4zPYtdTJmZmQkJCdI0N9YAAABISJD67N+/Pzg4WJrWarVKlwMAAFAmcBYbAAAA8pAgAQAAIA9nsfVp3779yZMnla4CAACgbCFB6uPq6tq6dWulqwAAAChbSJDKePTo0bFjx0qwYlJSkuC2HgAAoCgSpDLGjh0bHh5e4tX//vtvpfcAAACYL3NPkAkJCcnJyU+fPs3NzXV0dHRycqpataoRXnfs2LG2trYajUbuimfOnLl3715gYKDx+woAAEBijgkyKipqx44dERERV69elU4K5+Xo6Ojj49OlS5d+/fr5+vqWUg2dO3fu3LlzCVb88MMPlyxZwvDmAABAQeaVIKOjoydOnLhr1y49bdLS0k6dOnXq1Km5c+cGBwcvWbKkdu3aShcOAABQhphRgjxx4kTPnj0TExN1c5ydnd3d3d3d3d3c3LRabWJiYkJCQkJCgu7AZHh4+IkTJ/bu3dusWTOlywcAACgrzCVBJiUl9evXT4qP3t7egwYNCgkJ8ff3L7DxjRs3wsPDN2/efP78+fj4+D59+ly6dMnR0VHpnQAAACgTzOWZNMuXL3/48KEQYtCgQZcvX54zZ05h8VEI0bBhw8mTJ587d27GjBlCiHv37q1cuVLpPQAAACgrzCVBbt++XQhRo0aNH374wc7OrjirqFSqOXPmSHc9b9u2Tek9AAAAKCvMJUHevXtXCNGjRw8bGxtZK4aEhAghbt++rfQeAAAAlBXmkiCfPXsmhCjBtYzOzs5CiPT0dKX3AAAAoKwwlwTp6ekphDh//rzcFaVVqlWrpvQeAAAAlBXmkiClyxkPHDgQERFR/LWuX7++Zs0a3eoAAAAQ5pMgx4wZY2FhodVqg4KCFixYEBsbq799cnLyqlWr2rVrl5qaamFhMXr0aKX3AAAAoKwwl/EgW7du/fHHHy9YsCAzM3Pq1KnTpk1r27Zthw4dqlSp4ubm5ubmplKppBHFnzx5EhkZefjw4ZycHGndKVOmtGrVSuk9AAAAKCvMJUEKIebPn+/s7Dxz5sycnBytVnv8+PHjx4/rX8Xa2nr27NlTp05VunYAAIAyxFzOYkumTJly48aNd955x8PDQ3/LKlWqjB49+vr168RHAACA55jRMUhJnTp1li9fvmzZsqioqCtXrty6dSslJSU9PV2r1To4ODg7O9erV8/Hx8fPz8/CwrziNUpbdna23OFIAQAom8wuQUosLCz8/Pz8/PyULgSm75dffvn666+PHj2akZHh7OzcqVOnSZMmtWnTRum6AAAoOQ6zAaVFq9W+//77PXr0iIiIyMjIEEKkpKRs3769Xbt2X3zxhdLVAQBQciTI/0pISEhISMjOzla6EJiIb7/99ttvv80/X6PRfPzxx7t371a6QAAASogE+V/u7u7u7u579+5VuhCYgtzc3Llz5+pp8OmnnypdIwAAJUSCBErF2bNnHz9+rKfB+fPnHz16pHSZAACUBAkSKBUxMTFFtnnw4IHSZQIAUBIkSKBUVKxYscg29vb2SpcJAEBJkCCBUuHn56dSqfQ0cHR0rFevntJlAgBQEiRIoFRUr169a9euehoMGTLE1tZW6TIBACgJEiRQWr7++uvKlSsXuKh+/fr679QGAKAsI0H+15QpU6ZMmVK/fn2lC4GJqFev3h9//NG6devn5nfv3v3w4cNubm5KFwgAQAmZ6VMNCzR//nylS4CpadSo0cmTJyMjI48dO5aQkODp6dmxY8eXX35Z6boAAHghJEig1LVp04YHYQMATAlnsQEAACAPCRIAAADycBYbgDlKTU3duXPn+fPnc3Jy6tat27NnT4bnBIDiI0ECMDv//ve/Q0NDU1JSdHMmTZo0atSopUuXVqhQQenqAKAc4Cw2APMSFhb21ltv5Y2PQgiNRvP999/3799fq9UqXSAAlAMkSABmJCEh4cMPPyxs6e7du7du3ap0jQBQDpAgAZiRHTt2pKam6mmwdu1apWsEgHKABAnAjERFRelvcOnSJaVrBIBygAQJwIxkZGS8YAMAgCBBAjArNWvW1N+gVq1aStcIAOUACRKAGenevbv+Bj169FC6RgAoB0iQAMxI06ZN+/XrV9jSKlWqfPDBB0rXCADlAAkSgHlZs2bNa6+9ln++p6fnL7/8UqlSJaULBIBygGfSADAvDg4OERER69evX7t27fnz57Ozs+vWrRsSEhIaGurm5qZ0dSjAtWvXTpw4kZiYWK1atcDAwOrVqytdEQASJADzY2lpOXz48OHDhytdCIpw7969UaNGHTx4UDfHyspq2LBhS5YscXJyUro6wKyRIAEAZdHdu3fbtm0bGxubd2Zubu6aNWuioqIOHz5csWJFpWsEzBfXQQIAyqJx48Y9Fx91zpw5s2DBAqULBMwaCRIAUOY8ePBg3759ehqsWrVKo9EoXSZgvkiQAIAy5+zZs1qtVk+D2NjYmJgYpcsEzBcJEgBQ5qSlpRXZJiUlRekyAfNFggQAlDmenp76G6hUqmrVqildJmC+SJAAgDLn1Vdftbe319OgefPmjN8JKIgECQAocypWrPjhhx/qaTBjxgylawTMGgkSAFAWzZw5MyQkJP98lUo1e/bsXr16KV0gYNZIkACAssjKymrbtm1r1qzx9/dXqVRCCGtr606dOv32228zZ85UujrA3PFMGgBAGaVSqUaMGDFixIj09PSkpCR3d3c7OzuliwIgBAkSAFD22dvb67+xBoCRcRYbAAAA8nAMEgBkuHv37pYtW65cuaLRaBo0aNC3b18fHx+liwIAYyNBAkCxaDSaTz75ZOHChWq1Wjdz1qxZo0aN+vrrr7k+D4BZIUECQLF8/PHHixcvfm6mVqtdtWpVamrqpk2blC4QAIyH6yABoGhXrlxZunRpYUs3b94cERGhdI0AYDwkSAAo2k8//ZT35HV+GzZsULpGADAeEiQAFO3atWv6G1y5ckXpGgHAeEiQAFC07OzsF2wAAKaEBAkARatTp47+BnXr1lW6RgAwHhIkABQtODj4BRsAgCkhQQJA0V577bWuXbsWttTf33/IkCFK1wgAxkOCBIBi2bRpU2BgYP75/v7+e/bssbJieF0AZoSvPAAoFmdn5wMHDmzdunXDhg2XL19Wq9WNGzfu27fv8OHDbWxslK4OAIyKBAkAxWVpaTlgwIABAwYoXQgAKIyz2AAAAJCHBAkAAAB5SJAAYIJSU1Pj4uL0P4kRAEqMBAkApiMjI2PevHn16tVzdnauWrWqq6vrwIEDr169qnRdAEwNCRIATERCQkLbtm0/+eST27dvS3PS0tI2bdrUvHnz8PBwpasDYFJIkABgIoYNG3bhwoX88zMzMwcNGnTnzh2lCwRgOkiQAGAKzp079+uvvxa2NCMj44svvlC6RgCmgwQJAKbgt99+098gIiJC6RoBmA4SJACYgkePHulv8PfffytdIwDTQYIEAFPg4OCgv4GTk5PSNQIwHSRIADAFLVq00N+gZcuWStcIwHSQIAHAFHTr1q1GjRp6GowePVrpGgGYDhIkAJgCOzu7NWvW2NjYFLh02LBhQUFBStcIwHSQIAHARLz++usHDhxo3Lhx3pkODg6zZ88OCwtTujoAJsVK6QIAAAYTEBBw+fLlkydPnjt3Lisrq06dOq+99pqrq6vSdQEwNSRIADApFhYWbdu2bdu2rdKFADBlnMUGAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyEOCBAAAgDwkSAAAAMhDggQAAIA8JEgAAADIQ4IEAACAPCRIAAAAyGOldAEoiXnz5n377bdKV2Ei1Gp1TEyMEMLCgj+oSotWq1Wr1RYWFnRy6aGTjUCj0Wg0GktLS5VKpXQtJotONgKNRqPVar28vKysisiB8fHxhS0iQZYztWvXFkIkJCQkJCQoXYupUavVSpdg4tRqNZ1c2uhkI8jNzVW6BNNHJxvBX3/9VZxmKpVKyh7Pz9dqtUrvAuS5f/8+vyEM6NKlS717927UqNGKFSuUrsVkHT16dMaMGQEBAXPnzlW6FpO1ffv2r7/+unfv3qGhoUrXYrJWrVq1YcOGt99+e/DgwUrXYrI+//zziIiIqVOnvvHGG0rXYrImTJhw/vz59evXt2nTpsjGFSpU8PT0zD+fY5DlT61atZQuwaRIR3MdHR07dOigdC0mKzExUQjh7u5OJ5eeqKgoIUT16tXp5NKzf/9+IUSdOnXo5NITFhYmhGjcuDGdXHpcXV2FEJ6ennXr1i3xRrhcBgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkS5s7Z2Vn3L0qJ1L1OTk5KF2LK6GQjkLqXr4tSRScbgUF+8am0Wq3SOwIo7MiRI97e3l5eXkoXYsr279/fokULNzc3pQsxWbm5ufv27QsMDHRwcFC6FpOVkZFx8ODBLl262NjYKF2LyUpOTj5x4kTXrl0tLDjIVVri4uIuX77cqVOnF9kICRIAAADyEPABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSAAAA8pAgAQAAIA8JEgAAAPKQIAEAACAPCRIAAADykCABAAAgDwkSpu/06dOjRo2qV69exYoV3d3dW7VqtWDBgqSkpJJtTaPR/Pzzz/37969Tp46Dg0PFihW9vb2HDRv222+/Kb2jSjJsJ+eVk5Pj7u6uUqni4uKU3kujMniXlt57VH7xuTUCvoGNwLCd/OTJk3nz5gUEBFSpUsXW1tbb27tbt27Tp09//Pjx/7TTAiZt+vTpFhYF/KVUvXr1EydOyN1aTEzMK6+8UthPXZcuXeLi4pTeYwUYtpOfEx4eLm0tNjZW6R01HoN3aam+R+UUn1sj4BvYCAzbybt373Z2di6wh52cnL744gtdSxIkTNmCBQukz71KpXrttdcmTZr0zjvveHl5STPd3Nyio6OLv7X09HRfX19pXSsrq27duk2cOPGDDz7o0KGDSqWS5vv6+qampiq930Zl2E5+TlpaWpMmTcztN7HBu7RU36Nyis+tEfANbASG7eTIyEgbGxtp3bp16w4fPnzmzJmjR4/28fHR5cgvv/xSakyChMm6e/eu9JNgZ2e3d+9e3fysrKwBAwZIPwm9evUq/gY///xzaa06deqcOXMm76KjR4/WqlVLWvrBBx8ovevGY/BO1snJydm5c2fr1q11X1tm8pvY4F1aeu9R+cXn1gj4BjYCg3ey7qM7ceLErKws3Xy1Wr1o0SJpkb29fVpampYECRP27rvvSh/3+fPnP7coIyOjbt260tKoqKhiblD3V92+ffvyLz158qSVlZX005WRkaH03huJwTtZq9V+8sknTZo00f0dbG6/iQ3epaXxHpV3fG6NgG9gIzBsJz969Eh3KDc3Nzd/g27dukkNjhw5otVquZMGpkmr1W7fvl0IoVKp3nrrreeW2tnZDR48WJqWmhXp5s2bMTExQoimTZu+8cYb+Ru0bt26bdu2Qoj09PSzZ88q3QHGYPBOlhw7duzy5cvZ2dlK758CDN6lpfQelWt8bo2Ab2AjMHgnR0VFSRPBwcGWlpb5G3Ts2FGa+PPPPwX3YsNUXbp0SboFsk2bNlWrVs3fICQkRJqIiIgozgZv3rwpTTRr1qywNrprdBISEpTuAGMweCdLZs+evS0Pf39/pXfUeAzepaX0HpVrfG6NgG9gIzB4J8fHxzdp0qRJkybNmzcvsIFarZYmrK2thRBWSvcAUCquXr0qTQQGBhbYwN/f38nJKTU1VddSPwcHh759+wohevbsWVgb6U9kIUSdOnWU7gBjMHgnS9q3b5/3v6tXr1Z6R43H4F1aSu9Rucbn1gj4BjYCg3fy4MGDdYct88vOzt61a5cQQqVSBQQECBIkTNWtW7ekiSpVqhTWpnLlyqmpqUlJSQkJCW5ubvo3GBgYWNhPqeTBgwf79u0TQri4uDRo0EDpDjAGg3cyDN6lvEf0iSL4BjYCI3ySs7OzU1JSkpKSTpw4ERYWFhkZKYQYO3bsyy+/LDiLDVOVnJwsTej5mXF3d3+ucYk9ffq0b9++WVlZQohJkybZ2dkp3QHGYORONgcG71Leo/zoEyPgG9gIjNDJHh4eVapUadiw4YgRI44dO+bm5rZ48eJvvvlGWkqChGlKT0+XJvT8aOkWPX369EVe68SJEy1atDh9+rQQ4pVXXpkwYYLSe28kxuxkM2HwLuU9ok8UwTewERj/k+zi4uLi4qK7GpKz2DBNWq1WmtCNNKunTW5ubsle5e7du9OnT9+0aZO0qdatW+/bt69ixYpK772RGKeTzYrBu5T3iD5RBN/ARmCETv7uu++ysrJyc3PT09PXrVt37ty5kSNH7tixY+vWrXZ2dhyDRLk0depUVUF0t+A5ODhIE4mJiYVtRLfI0dFRbgHp6ekfffRRo0aNfvrpJ61Wa2dnt2DBgmPHjhX2MKjySPFONkMG71LeI/pEEXwDG4ERPskDBw586623Ro0aFRoaevbs2XHjxgkh9uzZM3/+fMFZbJgq3feInmEddIucnJxkbXzfvn0vvfTSokWLsrOzLS0tR4wYce3atcmTJ0vj2ZqPUu1k82TwLuU9ok8UwTewERj/k7x48WLpEO+yZcsEZ7FRTg0dOvSVV17JP1/3Z1a9evWkiSdPnhS2EelHy9HR0cPDo5ivKz0DYOXKldJ///GPf8ydO9dU7/tTqpPNmcG7lPeIPlEE38BGYPBO3rNnj1qttre3f/311wtsYGtr26RJk9OnTyckJDx+/JgEiXLJx8cn74PeC2wgTUijD+R348aNpKQkqaWei0ieM27cOOnLy9vbe+XKlZ06dVK6J0qRUp1szgzepbxH9Iki+AY2AoN38vTp0y9dulShQoW0tLQCn0kjhNBoNNJEeno6Z7Fhmvz8/CpXriyEOHz4cIGjGISHh0sTXbp0KeY2v/rqq+XLlwshOnTocObMGTP/8hKl08lmzuBdyntEnyiCb2AjMHgnt2jRQgiRkZFx48aNAhtoNJpr164JIaytratWrUqChGmysLDo3bu3ECInJ2fr1q3PLdVqtVu2bJGmpeccFCk3N3fRokVCCC8vr507d7q6uiq9i8ozeCfD4F3Ke0SfKIJvYCMweCdLCVIIsXDhwgIbfPfdd9IQQgEBAXZ2dkILmKjbt29Lz+50d3e/fv163kWzZs2Sfh6CgoKeWysxMTH8PzIyMnTzN23aJK3yr3/9S+k9K0MM28kF6tq1q7Sd2NhYpXfXGAzepSXboGnjc2sEfAMbgWE7OTY2VjcW0qJFi3Jzc/OutWHDBt3d33v37tVqtSrtf8YKAkzP/Pnzp02bJoRwcnIaNWqUv79/amrq9u3bDx06JISoXLnyqVOnnnuC6qlTp3S3j8TExFSvXl2afu+996S7zxo1auTi4qL/dX/88cf69esrvfdGYsBOLlC3bt2kh5XFxsaayW0NBu/SEmzQ5PG5NQK+gY3AsJ/kxYsXT5o0SZpu0KBBq1atatas+fDhw3PnzkVFRUnz33nnHelyAo5BwsRNmTKlwCuIa9aseebMmfztT548qWsTExOjm687olAcFy5cUHq/jcpQnVwg8zyWY/AulbtBc8Dn1gj4BjYCw36SZ82aZWFR8CWOlpaWn3zyie7YJAkSpu/kyZNvvfVWnTp17OzsKlWq1LJlywULFqSkpBTWuMAfLVl/0Zrb95fWQJ1cILP9TWzwLpW1QTPB59YI+AY2AsN+kq9cuTJhwoQ33njD29vbxsZG2uDkyZNv376dtxlnsQEAACAP92IDAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQAAADkIUECAABAHhIkAAAA5CFBAgAAQB4SJAAAAOQhQQIAAEAeEiQA0xQXF6cqnLW1dYMGDXr06DF58uRbt24VubXU1NQNGzb07dvX19fXzc3N1tbW09OzQ4cOM2bMuHv3rgHL3r59u67IevXqlWALWVlZKr0sLCy8vLw6dOgwcuTIffv2mUnHAjAwLQCYotjY2GJ+DVpaWn766aeFbUetVi9btszFxaWw1S0sLN5///1nz54ZpOzg4OC8G4+MjCzODh47dkw3PzMzU9Zvgc6dOycmJppYxz5+/Pizzz5r165d5cqVbWxs6tat27Vr12nTpsXHxxvkbQKg0mq1Bk2kAFAmxMXFVa1aVQjh4ODQt2/f55ampKTcunXr6tWrGo1GmjNv3rxp06Y91ywzM7NPnz6//vqr9F8bG5sWLVpUr149PT39/v370dHRWVlZ0qIOHTrs3bu3QoUKL1JzYmKip6dndna2bs577733zTff6N9BIcSxY8deffVVaTorK8vOzk6qdtCgQflXfPr06f37969du/b06VNpTmBg4KFDh1QqlWl07J49e4YMGZKSkpJ/kZOT04wZMyZNmvQibxMAITgGCcBE6Q6V1a5du7A2UVFR7dq1k5rZ2dnFxMTkXapWq9944w1pqYODw6JFi5KTk/M2ePz48fTp03Xh5t13333BmpcvXy5tqnPnztJE5cqVc3Jy9O+gKOQYpIuLi57XSkxMHDdunG4LO3bsMI2OjYyMtLGxkVasW7fu8OHDZ86cOXr0aB8fH93Ofvnlly/4TgEgQQIwTcUJOlqtNiEhoXr16lLLr776Ku+iRYsWSfM9PDyuXLlS2Ba2bdsmHb1TqVR6mhVH27ZtpVf8448/2rRpI03/8ssvBTbOzMzc9h9PnjzJO784CVKr1Wo0mvbt20uNhw0bZhod27p1a2njEydOzMrK0s1Xq9W617W3t09LS3uRdwoACRKAaSpm0NFqtaGhoVLLoUOH6mbGxcVJx8AsLCyOHz+ufwvvvPOOtIUZM2aUuODbt2/rjpxpNJqvvvpK+u+gQYNkbaf4CVKr1S5dulRq3LZtWxPo2EePHkntfX19c3Nz8zfo1q2b1ODIkSOyehXAc7gXG4C5093ynJiYqJu5evXqjIwMIcRbb72lOzRYmFGjRkkTmzZtKnEZ69evlyaGDRumUqn69etnYWEhhAgPD9ddsPicgIAAlUpVo0aNEr+obl3dZYsGZPyOjYqKkiaCg4MtLS3zN+jYsaM08eeffxp8fwGzYqV0AQCgsOjoaGki7+g5P/74ozSR92LBwjRv3vz777+X7oB59uxZxYoVS1CGLkEOHTpUCCENavP7778/e/YsPDx8yJAhpbHvDx48kCZq1qxp8I0bv2Pj4+ObNGkirVhgA7VaLU1YW1sbfH8Bs0KCBGDWkpKStm/fLk37+/tLE/Hx8Tdu3BBCVKtWrVmzZsXZzttvv/0iZZw8eVIaPTEgIKBu3brSzAEDBvz+++9CiA0bNpRSgty9e7c0kf+u6hekSMcOHjx48ODBhS3Nzs7etWuXEEKlUgUEBBh2fwFzw1lsAObrxo0bvXv3lo7Dubq6du3aVZp/9uxZaaJVq1bGqUR3AHL48OG6mX369JEOlf32229xcXGGfcXU1NSJEycePHhQCNGhQ4eQkBADbrzsdGx2dvbjx49v3ry5du3aTp06RUZGCiHGjh378ssvG6cAwFRxDBKAiXvy5En+41gpKSl37ty5cOGC7rTmV199pRteURfXvLy8jFBhTk7O5s2bhRAVKlTo16+fbr6bm1vnzp1//fVXtVq9efPm8ePHy9rss2fPCjyAl56eHhMTc/HixdTUVCFE9+7df/rppwKvGizvHSuE8PDwSE5Oztul06ZNmzBhgnFeHTBhJEgAJu7p06erV6/W06BChQpz5syRrj6UJCUlSRPOzs5GqHDv3r1PnjwRQgQHBzs5OeVdNGDAAGnY7Q0bNshNkNnZ2fp3XAgxfvx43U3fcpX9js3PxcXFxcVFrVZbWfHrD3gh/AgBMFNOTk6+vr7+/v4TJkzw9vbOu0h6posQQu4TAktm3bp10kTeU9iSoKAgOzu7zMzM06dP37p1q379+oZ96a+//vrhw4cbN2404J0lZadjhRDfffddVlZWbm5uenr6unXrzp07N3LkyB07dmzdulVXDIASIEECMHG1a9e+e/eurFXc3NykicePH5f4dadOnbpgwYL88588eaLbvhAiJSVlz549QghLS8uTJ0/qrhTU8fDwuH//vhBi48aNn376afELcHFx0R3zy0uj0fz111+HDx+eMmVKXFzctm3bvLy8lixZUl46VpaBAwfqpkNDQ997771ly5bt2bNn/vz5s2fPNk4NgEkiQQLA8xo0aCBNFH/UwF9//XXv3r1CiFdffXXAgAHFf62tW7dKB+TUavWsWbP0tFy/fr2sBFkYCwuL2rVrv/XWW35+fs2bN9dqtevWrVu0aFEJLoWUy5gdW6DFixf/8MMPz549W7ZsGQkSeBEkSAB4np+fn5OTU2pq6pUrV2JiYopz28eSJUsOHDgghNCNxTN06NBXXnklf0tHR8e8/9Wdwi5SdHT06dOnDXgXc9OmTTt06HD48OGEhISbN282bty41Hr0/xmkY/XYs2ePWq22t7d//fXXC2xga2vbpEmT06dPJyQkPH78uHLlyqW9y4CpYjQfAHiehYVFjx49hBBarXbZsmVFtk9PTz969Kg0rUuNPj4+QQWxsbHRrXj//n1pRQcHh/T09MKeHtanTx+p/YYNGwy7p7rrFPM+NqaMd6we06dPDw4O7tWrl+5O8Px0T99JT083wi4DpooECQAF+OCDD6SJpUuXXr58WX/jr7/+OisrSwhRq1at4gQdnQ0bNmi1WiFEcHCwngeu6M7ebtq0KTc314C7WalSJWkiISHB0F1YsFLt2BYtWgghMjIypHHL89NoNNeuXRNCWFtb68YYAlACJEgAKEDLli379+8vhMjMzOzZs6f0wJgCXbx4UXf9YmhoqEqlKv6r6AYSHzRokJ5m3bt3d3BwEELEx8dLp3QNRXesLj4+vhR6sQCl2rFSghRCLFy4sMAG3333nXToMSAggHuxgRdBggSAgq1YsaJOnTpCiHv37rVq1Wrx4sXSENw6OTk5ixcvbt++vfTgZl9f3/fee6/42z937px0PMzd3b1z5856WlaoUCEoKEiaNuyJbN3dMwZ/5o0epdexISEh0qHcf//734sXL37uXPbGjRunTp0qTX/00UdG21/AJHEnDQAUzMXF5Y8//ujSpcu1a9eSk5MnTZo0derUli1benl5abXa27dvR0dH66JPjRo1fvnlF1mjKuruoenfv3+RA1wPGDBAyo47duxIT0+3t7c3yD66u7tLEw8fPjSBjvXw8JgzZ86kSZOEEJMmTfr+++9btWpVs2bNhw8fnjt3LioqSmr2zjvv6B60CKCEtABgimJjY6Vvudq1a7/IdpKTkz/88MO8t7/kFxIS8vjxY1mbzcnJqVKlirT68ePHi2yflZXl6uoqtZeuntRqte3atRNCSMFLRzdYt4uLS5Gb3bp1q9TYw8MjISHBBDpWq9XOmjXLwqLgM2yWlpaffPJJbm7ui1QOQKvVqrRardIhFgAMLy4uTrpVogQDX+cXExOzffv2X3755c6dO7GxsTk5OS4uLt7e3u3atRs6dGiTJk3kbnDv3r1vvvmmEKJWrVp3794tzkV+o0aNCgsLE0K8+eabv/zyixAiICDg2LFjXl5eDx480DXLysqSrvArbETxvFJSUipXrpyTkyOE6NOnz7Zt28p7x0quXr26evXqq1evRkdHP3jwwMHBwdvb+7XXXhs9enRxRgUCUKT/AzfhUKPiCVtSAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDE5LTEwLTExVDIxOjAxOjI2LTA0OjAwM09MgAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAxOS0xMC0xMVQyMTowMToyNi0wNDowMEIS9DwAAAAASUVORK5CYII=)
The default is to plot PC values as black dots and blue pluses for individuals in the “unrelated subset” and “related subsets” respectively. The plotting colors and characters, as well as other standard plotting parameters, can be changed with the standard input to the plot
function.