{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "# Lesson 9: Choice + Reaction Time Models — DDM and Race-Diffusion\n", "\n", "So far we have modelled **only the choice** that participants make on each trial.\n", "But behaviour also has a *temporal* signature: how long the participant deliberated.\n", "Reaction times (RT) carry information that choice-only models discard. Two trials\n", "with the same choice can differ wildly in confidence, evidence quality, or\n", "deliberation effort — and those differences shape RT.\n", "\n", "This lesson introduces bauer's two **joint choice + RT** model families:\n", "\n", "1. **Drift-Diffusion Model (DDM)** — a single accumulator integrates a *signed*\n", " evidence signal (option 2 minus option 1) until it hits one of two boundaries.\n", "2. **Race-Diffusion Model (RDM)** — two parallel accumulators, one per option,\n", " each integrating its own evidence stream until one wins.\n", "\n", "Both reuse the **same Bayesian-observer cognitive front-end** as the static\n", "psychometric models from lessons 1–4 (priors, asymmetric encoding noise, the\n", "shrinkage weights $\\beta_k$). What changes is only the **decision rule**: instead\n", "of a one-shot cumulative-normal comparison, we now have a stochastic accumulation\n", "process whose first-passage time *is* the participant's RT.\n", "\n", "## Why care about RT?\n", "\n", "A choice-only model fits $P(\\text{choose 2})$ and ignores the RT distribution.\n", "That throws away three pieces of information:\n", "\n", "1. **The size effect.** On magnitude tasks, RT systematically *decreases* with\n", " stimulus magnitude even at fixed difficulty (fixed $\\log(n_2/n_1)$). Bigger\n", " numbers $\\Rightarrow$ bigger drift rates $\\Rightarrow$ faster races. Choice-only\n", " models are silent on this — they have no notion of how long a decision took.\n", "2. **Identifiability.** Choice probabilities are invariant to many transformations\n", " of the underlying parameters (e.g. scaling all noise SDs by a constant\n", " leaves $P$ unchanged if the SNR is preserved). RT distributions break those\n", " degeneracies because the *absolute* speed of accumulation matters, not just\n", " the relative SNR.\n", "3. **Falsification.** A model that fits choice probabilities but predicts the\n", " wrong RT distributions is wrong in a falsifiable way. Joint choice+RT models\n", " are simply a stricter test of the underlying cognitive theory.\n", "\n", "In this lesson we use the Barreto-Garcia et al. (2022) magnitude task to fit\n", "both DDM and RDM variants, compare their posteriors, and see how the\n", "**race-model \"advantage\" decomposition** of drift is essential for capturing\n", "choice — using the wrong decomposition produces a flat psychometric." ] }, { "cell_type": "code", "execution_count": null, "id": "1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Subjects: 8\n", "Trials: 1568 (~196 per subject)\n", "Columns: ['n1', 'n2', 'choice', 'rt', 'accuracy', 'correct', 'isi']\n", "\n", "Dropped 67 / 1635 trials with rt < 0.20s (4.1%); min rt now 0.202s.\n" ] }, { "data": { "text/html": [ "
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n1n2choicertaccuracycorrectisi
subjectformatruntrial_nr
1non-symbolic11710True0.7751-18.033
2514False0.8920-18.532
3714True0.6111-16.533
4710True0.6601-17.033
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" ], "text/plain": [ " n1 n2 choice rt accuracy correct \\\n", "subject format run trial_nr \n", "1 non-symbolic 1 1 7 10 True 0.775 1 -1 \n", " 2 5 14 False 0.892 0 -1 \n", " 3 7 14 True 0.611 1 -1 \n", " 4 7 10 True 0.660 1 -1 \n", " 5 5 10 True 0.830 1 -1 \n", "\n", " isi \n", "subject format run trial_nr \n", "1 non-symbolic 1 1 8.033 \n", " 2 8.532 \n", " 3 6.533 \n", " 4 7.033 \n", " 5 9.033 " ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import warnings; warnings.filterwarnings('ignore')\n", "import os\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import arviz as az\n", "\n", "sns.set_theme(context='notebook', style='whitegrid', palette='deep')\n", "\n", "from bauer.utils.data import load_garcia2022\n", "from bauer.models import (\n", " MagnitudeComparisonModel,\n", " DDMMagnitudeComparisonModel,\n", " RaceDiffusionMagnitudeComparisonModel,\n", ")\n", "\n", "# Load the magnitude task and subset to 8 subjects to keep fits short.\n", "df_full = load_garcia2022(task='magnitude')\n", "subs = df_full.index.get_level_values('subject').unique()[:8]\n", "df = df_full.loc[df_full.index.get_level_values('subject').isin(subs)].copy()\n", "\n", "# ── Preprocess: drop physiologically implausible fast trials ──────────────\n", "# Same RT filter as lesson 8 — see that lesson for the full pedagogical\n", "# motivation. Without it, the per-subject _t0_cap (= 0.95 * min rt) sits\n", "# below the t0 prior centre for most subjects, squeezing t0 against the cap\n", "# and funneling t0_sd through the HalfCauchy heavy tail. Concretely, for\n", "# this RDM fit, dropping it cuts divergences from ~80 to ~1.\n", "RT_MIN = 0.20\n", "n_before = len(df)\n", "df = df[df['rt'] >= RT_MIN].copy()\n", "n_subj = df.index.get_level_values('subject').nunique()\n", "print(f\"Subjects: {n_subj}\")\n", "print(f\"Trials: {len(df)} (~{len(df) // n_subj} per subject)\")\n", "print(f\"Columns: {list(df.columns)}\")\n", "print(f\"\\nDropped {n_before - len(df)} / {n_before} trials with rt < {RT_MIN:.2f}s \"\n", " f\"({100*(n_before - len(df))/n_before:.1f}%); min rt now {df['rt'].min():.3f}s.\")\n", "\n", "# Cache directory for fitted idata, so re-running the notebook after a\n", "# downstream cell change doesn't redo the (~5-15 min) fits. Set\n", "# BAUER_TUTORIAL_REFIT=1 in the env to force a fresh fit. Cache key\n", "# encodes the RT cutoff so a future change there gets a fresh cache.\n", "CACHE_DIR = os.path.expanduser('~/.bauer_tutorial_cache')\n", "os.makedirs(CACHE_DIR, exist_ok=True)\n", "FORCE_REFIT = bool(os.environ.get('BAUER_TUTORIAL_REFIT', ''))\n", "CACHE_TAG = f'garcia_n{n_subj}_rtmin{int(RT_MIN*1000)}'\n", "\n", "def fit_or_load(model, name, draws=600, tune=600, chains=4, target_accept=0.95):\n", " path = os.path.join(CACHE_DIR, f'{CACHE_TAG}_{name}.nc')\n", " if os.path.exists(path) and not FORCE_REFIT:\n", " print(f\"Loading cached {name} fit from {path}\")\n", " return az.from_netcdf(path)\n", " model.build_estimation_model(data=df, hierarchical=True)\n", " idata = model.sample(draws=draws, tune=tune, chains=chains,\n", " target_accept=target_accept)\n", " idata.to_netcdf(path)\n", " print(f\"Saved {name} fit to {path}\")\n", " return idata\n", "\n", "\n", "def add_bins(d, n_stake_bins=4, n_diff_bins=3):\n", " \"\"\"Annotate a paradigm DataFrame with stake / difficulty bins and the\n", " 'correct' bool. Used by every size-effect plot below.\"\"\"\n", " d = d.copy()\n", " d['stake'] = np.sqrt(d['n1'] * d['n2'])\n", " d['log_stake'] = np.log(d['stake'])\n", " d['log_ratio'] = np.log(d['n2'] / d['n1'])\n", " d['abs_log_ratio'] = d['log_ratio'].abs()\n", " d['stake_bin'] = pd.qcut(d['log_stake'], n_stake_bins, labels=False,\n", " duplicates='drop')\n", " d['diff_bin'] = pd.qcut(d['abs_log_ratio'], n_diff_bins,\n", " labels=['hard', 'medium', 'easy'][:n_diff_bins],\n", " duplicates='drop')\n", " d['stake_mid'] = d.groupby('stake_bin', observed=True)['stake'] \\\n", " .transform('mean')\n", " if 'choice' in d.columns:\n", " d['correct'] = d['choice'].astype(bool) == (d['n2'] > d['n1'])\n", " return d\n", "\n", "df.head()" ] }, { "cell_type": "markdown", "id": "2", "metadata": {}, "source": [ "## The size effect in the data\n", "\n", "Before fitting any model, let's look at the empirical RT distribution. The\n", "**size effect** is one of the most robust phenomena in numerical cognition: at\n", "fixed log-ratio difficulty, larger stimulus magnitudes are decided *faster*.\n", "This emerges automatically from a Bayesian-observer + drift-diffusion theory\n", "(larger posterior log-mean $\\Rightarrow$ larger drift), but a choice-only\n", "psychometric model can't say anything about it.\n", "\n", "We bin trials by the geometric mean $\\sqrt{n_1 n_2}$ (\"stake size\") and by\n", "absolute log-ratio (difficulty), then average within each subject before\n", "plotting — so the 95% CI reflects between-subject variability, not the much\n", "larger trial-to-trial variability." ] }, { "cell_type": "code", "execution_count": null, "id": "3", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "db = add_bins(df)\n", "db_corr = db[db['correct']]\n", "\n", "# Per-subject mean RT in each (stake_bin, diff_bin) cell. Aggregating *within*\n", "# subject first means the across-subject CI is a clean measure of the size\n", "# effect's reliability across the population.\n", "sub_agg = (db_corr.groupby(['subject', 'stake_bin', 'stake_mid', 'diff_bin'],\n", " observed=True)['rt'].mean().reset_index())\n", "\n", "fig, ax = plt.subplots(figsize=(7.5, 4.5))\n", "sns.lineplot(data=sub_agg, x='stake_mid', y='rt', hue='diff_bin',\n", " hue_order=['hard', 'medium', 'easy'],\n", " errorbar=('ci', 95), marker='o', lw=2, ms=8,\n", " err_style='band', err_kws={'alpha': 0.18},\n", " ax=ax)\n", "ax.set_xscale('log')\n", "ax.set_xlabel(r'Stake size $\\sqrt{n_1 n_2}$ (log scale)')\n", "ax.set_ylabel('Mean RT (s, correct trials)')\n", "ax.set_title('Size effect in the Garcia 2022 magnitude task '\n", " '(8 subj, 95% CI across subjects)')\n", "ax.legend(title='Difficulty', loc='upper right')\n", "sns.despine()\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "4", "metadata": {}, "source": [ "Mean RT decreases with stake size at every difficulty level — a clean size\n", "effect. **A choice-only model cannot reproduce this curve at all** because it\n", "has no RT in its likelihood. To fit it, we need a process model with an\n", "explicit time variable." ] }, { "cell_type": "markdown", "id": "5", "metadata": {}, "source": [ "## The Drift-Diffusion Model\n", "\n", "The DDM (Ratcliff 1978; Bogacz et al. 2006) treats the decision as the\n", "integration of a single noisy evidence signal until one of two boundaries is\n", "hit. For a 2AFC magnitude comparison, the evidence signal is the *signed*\n", "posterior difference:\n", "\n", "$$\\mathrm{d}X(t) = v\\, \\mathrm{d}t + \\sigma\\, \\mathrm{d}W(t),\n", "\\qquad v = \\frac{\\mu_{\\text{post},2} - \\mu_{\\text{post},1}}{\\sqrt{\\nu_1^2 + \\nu_2^2}}$$\n", "\n", "Drift is the **subjective signal-to-noise ratio** of the perceived log-magnitude\n", "difference. Diffusion noise $\\sigma$ is fixed at 1 (HSSM convention; the\n", "boundary absorbs the SNR scale). Three new parameters enter:\n", "\n", "| symbol | meaning |\n", "|---|---|\n", "| $a$ | half boundary separation (full boundary = $2a$) |\n", "| $z$ | normalized starting point in $[0, 1]$; bauer defaults to $z = 0.5$ (unbiased) |\n", "| $t_0$ | non-decision time (motor + sensory delay), in seconds |\n", "\n", "The first-passage-time density is the analytic Wiener WFPT (Navarro & Fuss\n", "2009), provided by HSSM. Positive drift $\\Rightarrow$ upper boundary hit first\n", "$\\Rightarrow$ `choice = True` (option 2 chosen).\n", "\n", "### What does drift inherit from the cognitive front-end?\n", "\n", "The Bayesian-observer mixing weights $\\beta_k = \\sigma_p^2 / (\\sigma_p^2 + \\nu_k^2)$\n", "appear in the *numerator* of $v$ (through $\\mu_{\\text{post},k}$). The denominator\n", "$\\sqrt{\\nu_1^2 + \\nu_2^2}$ uses the raw encoding SDs. So:\n", "\n", "- **Asymmetric noise** ($\\nu_1 \\neq \\nu_2$): drift gets pulled toward the prior\n", " more for the noisier option, exactly as in the static psychometric.\n", "- **Tight prior** ($\\sigma_p \\to 0$): both posterior means collapse to $\\mu_p$,\n", " drift collapses to zero, and the DDM predicts no choice information and very\n", " long RTs — the agent is overruled by the prior.\n", "\n", "These mechanisms come for free from the cognitive front-end. The DDM only adds\n", "$a$, $t_0$ (and optionally $z$, $v_{\\text{scale}}$) on top." ] }, { "cell_type": "code", "execution_count": null, "id": "6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading cached ddm fit from /Users/gdehol/.bauer_tutorial_cache/garcia_n8_rtmin200_ddm.nc\n" ] } ], "source": [ "# ── Fit the DDM on 8 subjects ──────────────────────────────────────────────\n", "# This will take ~5–15 minutes on a laptop with the pymc backend.\n", "# Sampler defaults: tune=1000, draws=1000, chains=4, target_accept=0.95;\n", "# the tutorial uses tune/draws=600 to keep wall time manageable.\n", "\n", "m_ddm = DDMMagnitudeComparisonModel(\n", " paradigm=df,\n", " fit_separate_evidence_sd=True, # allow ν_1 ≠ ν_2 (sequential task)\n", " fit_prior=True, # estimate Bayesian-observer prior μ_p, σ_p\n", ")\n", "idata_ddm = fit_or_load(m_ddm, 'ddm')" ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "(We use `draws=600, tune=600` to keep tutorial wall time manageable. For\n", "production fits, use the bauer defaults `draws=1000, tune=1000` — see lesson 4.)\n", "\n", "### Diagnostics first\n", "\n", "Before interpreting any posterior, check that NUTS sampled cleanly:" ] }, { "cell_type": "code", "execution_count": null, "id": "8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " mcse_mean mcse_sd ess_bulk ess_tail r_hat\n", "a_mu 0.002 0.002 1542.0 1017.0 1.01\n", "t0_mu 0.000 0.000 1611.0 1329.0 1.01\n", "n1_evidence_sd_mu 0.001 0.001 1458.0 1275.0 1.00\n", "n2_evidence_sd_mu 0.001 0.001 894.0 983.0 1.00\n", "prior_mu_mu 0.007 0.007 1448.0 1365.0 1.00\n", "prior_sd_mu 0.007 0.007 629.0 748.0 1.01\n", "\n", "Divergences: 8\n", "Max r̂: 1.010\n", "Min ESS bulk: 629\n" ] } ], "source": [ "diag = az.summary(\n", " idata_ddm,\n", " var_names=['a_mu', 't0_mu', 'n1_evidence_sd_mu', 'n2_evidence_sd_mu',\n", " 'prior_mu_mu', 'prior_sd_mu'],\n", " kind='diagnostics',\n", ")\n", "print(diag)\n", "print()\n", "print(f\"Divergences: {int(idata_ddm.sample_stats['diverging'].sum())}\")\n", "print(f\"Max r̂: {float(diag['r_hat'].max()):.3f}\")\n", "print(f\"Min ESS bulk: {int(diag['ess_bulk'].min())}\")" ] }, { "cell_type": "markdown", "id": "9", "metadata": {}, "source": [ "**Rules of thumb** (from the bauer convention, see CLAUDE.md):\n", "\n", "- $\\hat r \\le 1.01$ on every group-level mean: chains have mixed.\n", "- ESS bulk $\\ge 100$ per chain (i.e. $\\ge 400$ for 4 chains): enough effective\n", " samples to interpret the mean.\n", "- Divergences $< 1\\%$ of post-warmup draws: geometry isn't pathological.\n", "\n", "If $\\hat r > 1.01$ or ESS is too low, increase warmup (`tune=1500`) and/or\n", "`target_accept=0.98`. Don't lower `target_accept` below 0.95 unless you've ruled\n", "out divergences.\n", "\n", "### Posterior of the cognitive front-end" ] }, { "cell_type": "code", "execution_count": null, "id": "10", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(6, 4))\n", "az.plot_forest(\n", " idata_ddm,\n", " var_names=['n1_evidence_sd_mu', 'n2_evidence_sd_mu',\n", " 'prior_mu_mu', 'prior_sd_mu', 'a_mu', 't0_mu'],\n", " combined=True, ax=ax,\n", ")\n", "ax.set_title('DDM group-level posteriors (Garcia 8 subj)')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "11", "metadata": {}, "source": [ "### Posterior predictive: choice and the size effect\n", "\n", "We draw 60 sets of subject-level parameters from the DDM posterior, simulate\n", "(rt, choice) for the original paradigm with each, and compare to the data on\n", "two functions:\n", "\n", "- **Psychometric** — $P(\\text{choose }2)$ vs $\\log(n_2/n_1)$. The DDM has to\n", " match this, just like a static psychometric model.\n", "- **Size-effect chronometric** — mean RT vs stake size, conditional on\n", " difficulty. This is the key RT signature a choice-only model cannot fit.\n", "\n", "The PPC band is the 5–95% percentile interval over **per-bin posterior means**,\n", "not over per-trial RT samples — so the band reflects parameter uncertainty,\n", "not the (very large) within-trial diffusion noise." ] }, { "cell_type": "code", "execution_count": null, "id": "12", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PPC shape: (94080, 2), columns: ['simulated_rt', 'simulated_choice']\n" ] } ], "source": [ "ppc_ddm = m_ddm.ppc(df, idata_ddm, n_posterior_samples=60, progressbar=False)\n", "print(f\"PPC shape: {ppc_ddm.shape}, columns: {list(ppc_ddm.columns)}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "13", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def ppc_psychometric(df_data, ppc):\n", " \"\"\"Long-format DataFrame: per (ppc_sample, log_ratio) the mean\n", " P(choose 2) across trials. Aggregated this way, the spread across\n", " ppc_samples *is* the posterior uncertainty in the psychometric.\"\"\"\n", " d = df_data.copy()\n", " d['log_ratio'] = np.log(d['n2'] / d['n1'])\n", " p = ppc.join(d[['log_ratio']], how='left').reset_index()\n", " p['choice_int'] = p['simulated_choice'].astype(int)\n", " return (p.groupby(['ppc_sample', 'log_ratio'])\n", " ['choice_int'].mean().reset_index())\n", "\n", "\n", "def ppc_size_effect(df_data, ppc, correct_only=True):\n", " \"\"\"Long-format DataFrame: per (ppc_sample, stake_bin, diff_bin) the\n", " mean simulated_rt across trials. correct_only=True restricts to trials\n", " where the *simulated* choice agrees with n2 > n1.\"\"\"\n", " d = add_bins(df_data)\n", " p = ppc.join(d[['stake_bin', 'stake_mid', 'diff_bin', 'n1', 'n2']],\n", " how='left').reset_index()\n", " if correct_only:\n", " sim_correct = p['simulated_choice'].astype(bool) == (p['n2'] > p['n1'])\n", " p = p[sim_correct]\n", " return (p.groupby(['ppc_sample', 'stake_bin', 'stake_mid', 'diff_bin'],\n", " observed=True)['simulated_rt'].mean().reset_index())\n", "\n", "\n", "def plot_ppc_psychometric(df_data, ppc, ax=None, title=''):\n", " d = df_data.copy()\n", " d['log_ratio'] = np.log(d['n2'] / d['n1'])\n", " obs = (d.groupby('log_ratio')['choice']\n", " .apply(lambda x: x.astype(int).mean()).reset_index())\n", " pp = ppc_psychometric(df_data, ppc)\n", " if ax is None:\n", " fig, ax = plt.subplots(figsize=(5.5, 4))\n", " sns.lineplot(data=pp, x='log_ratio', y='choice_int',\n", " errorbar=('pi', 90), ax=ax, color='C0',\n", " label='PPC mean (90% PI)')\n", " ax.scatter(obs['log_ratio'], obs['choice'], color='black', s=45,\n", " zorder=5, label='Data')\n", " ax.axhline(.5, c='gray', ls=':'); ax.axvline(0, c='gray', ls=':')\n", " ax.set_xlabel(r'$\\log(n_2 / n_1)$')\n", " ax.set_ylabel(r'$P(\\mathrm{choose}\\ n_2)$')\n", " ax.set_title(title or 'Psychometric'); ax.legend(fontsize=9)\n", " sns.despine(ax=ax)\n", " return ax\n", "\n", "\n", "def plot_ppc_size_effect(df_data, ppc, ax=None, title='', show_data=True):\n", " sub_obs = (add_bins(df_data).query('correct')\n", " .groupby(['subject', 'stake_bin', 'stake_mid', 'diff_bin'],\n", " observed=True)['rt'].mean().reset_index())\n", " pp = ppc_size_effect(df_data, ppc)\n", " if ax is None:\n", " fig, ax = plt.subplots(figsize=(7, 4.5))\n", " palette = {'hard': 'C3', 'medium': 'C1', 'easy': 'C2'}\n", " if show_data:\n", " sns.lineplot(data=sub_obs, x='stake_mid', y='rt', hue='diff_bin',\n", " hue_order=['hard', 'medium', 'easy'], palette=palette,\n", " errorbar=None, marker='o', ms=8, lw=0,\n", " ax=ax, legend=False)\n", " sns.lineplot(data=pp, x='stake_mid', y='simulated_rt', hue='diff_bin',\n", " hue_order=['hard', 'medium', 'easy'], palette=palette,\n", " errorbar=('pi', 90), err_style='band',\n", " err_kws={'alpha': 0.18}, lw=2, ax=ax)\n", " ax.set_xscale('log')\n", " ax.set_xlabel(r'Stake size $\\sqrt{n_1 n_2}$ (log scale)')\n", " ax.set_ylabel('Mean RT (s, correct trials)')\n", " ax.set_title(title or 'Size effect'); ax.legend(title='Difficulty')\n", " sns.despine(ax=ax)\n", " return ax\n", "\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12.5, 4.5))\n", "plot_ppc_psychometric(df, ppc_ddm, ax=axes[0], title='DDM psychometric')\n", "plot_ppc_size_effect(df, ppc_ddm, ax=axes[1], title='DDM size effect')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "14", "metadata": {}, "source": [ "The DDM psychometric tracks every data point cleanly — same as a static\n", "psychometric model would. The right panel is the new test: filled markers are\n", "the per-subject means in each (stake, difficulty) cell, lines+bands are the DDM\n", "posterior predictive. The DDM **does** reproduce the size effect (RT decreases\n", "with stake) and the difficulty ordering (hard slowest, easy fastest). The\n", "mechanism is **prior shrinkage**: when both numbers are far from the inferred\n", "prior mean, the Bayesian observer's posterior is pulled toward the prior\n", "asymmetrically, leaving a residual drift that depends on stake." ] }, { "cell_type": "markdown", "id": "15", "metadata": {}, "source": [ "## The Race-Diffusion Model\n", "\n", "The RDM (Tillman, Van Zandt & Logan 2020; van Ravenzwaaij et al. 2020) takes a\n", "different geometric view: instead of one accumulator integrating a signed\n", "difference, **each option drives its own positive accumulator**, and the first\n", "to hit the common boundary wins.\n", "\n", "$$\\mathrm{d}X_k(t) = v_k\\, \\mathrm{d}t + 1 \\cdot \\mathrm{d}W_k(t),\n", "\\qquad k \\in \\{1, 2\\}$$\n", "\n", "The first-passage time of accumulator $k$ to barrier $a$ is **inverse Gaussian**:\n", "\n", "$$T_k \\sim \\mathrm{IG}\\!\\left(\\mu_k = \\frac{a}{v_k},\\ \\lambda_k = a^2\\right)$$\n", "\n", "(with diffusion noise fixed to $\\sigma_k = 1$ — the standard convention; see\n", "`notes/race_diffusion_math.md` for why this is the principled choice).\n", "\n", "The race likelihood for \"$k$ wins at time $t$\" is the IG pdf of the winner\n", "times the IG survival function of the loser:\n", "\n", "$$\\mathcal{L}(t, k) = f_{\\mathrm{IG}}(t - t_0;\\, \\mu_k,\\, a^2)\n", " \\cdot S_{\\mathrm{IG}}(t - t_0;\\, \\mu_{\\bar k},\\, a^2)$$\n", "\n", "bauer implements this in closed form (`logp_race_diffusion_2`) — no\n", "likelihood-approximation networks (LANs) needed.\n", "\n", "### Sequential evidence-stream interpretation\n", "\n", "Conceptually, each accumulator's continuous Wiener noise $\\sigma = 1$ *is* the\n", "per-unit-time sensory noise. The accumulator's state at time $t$ is the agent's\n", "running posterior estimate of $\\log s_k$ given the evidence collected so far.\n", "**Across-trial drift variability ($s_v$) is therefore not a separate parameter\n", "— sensory uncertainty is fully expressed through the within-trial diffusion.**\n", "Adding $s_v$ on top would double-count (Bogacz et al. 2006; Drugowitsch et al.\n", "2012)." ] }, { "cell_type": "markdown", "id": "16", "metadata": {}, "source": [ "## The \"advantage\" decomposition (and why it matters)\n", "\n", "A natural-looking choice for the per-accumulator drift is\n", "\n", "$$v_k = w_0 + \\tilde\\mu_k, \\qquad\n", "\\tilde\\mu_k = \\mu_{\\text{post},k} - \\mu_p \\quad \\text{(ablation)}$$\n", "\n", "i.e. each accumulator's drift is the cognitive estimate of *its* option's\n", "log-magnitude, plus a baseline urgency $w_0$. This is what we'll call\n", "`advantage=False`. It seems sensible, but **it doesn't fit choice data\n", "properly**.\n", "\n", "The reason: under this parameterisation, drifts are nearly identical for the\n", "two accumulators in any trial where both options are similarly above (or below)\n", "the prior. The race's *relative* speed is driven only by tiny posterior\n", "differences, while $w_0$ scales the *absolute* drift. With even modest noise,\n", "the two accumulators race nearly neck-and-neck, and choice probabilities flatten\n", "toward 0.5 regardless of $\\log(n_2/n_1)$.\n", "\n", "The fix (van Ravenzwaaij et al. 2020) is the **advantage decomposition**:\n", "\n", "$$\\boxed{\\,v_i = w_0 + w_d \\cdot (\\tilde\\mu_i - \\tilde\\mu_j) + w_s \\cdot (\\tilde\\mu_i + \\tilde\\mu_j)\\,}\n", "\\qquad i, j \\in \\{1, 2\\},\\ i \\neq j$$\n", "\n", "- **$w_0$** — baseline drift (urgency / non-evidence accumulation).\n", "- **$w_d$** — *difference* sensitivity. Coefficient on the relative log-magnitude\n", " $\\tilde\\mu_i - \\tilde\\mu_j$, which has *opposite sign* for the two\n", " accumulators. This is the only term that creates discriminability.\n", "- **$w_s$** — *summary* sensitivity. Coefficient on the (shared) total magnitude.\n", " Drives the size effect on RT (larger pairs $\\Rightarrow$ both drifts scaled\n", " up $\\Rightarrow$ faster races).\n", "\n", "`advantage=True` is the bauer default. We'll fit both and let you see the\n", "difference." ] }, { "cell_type": "code", "execution_count": null, "id": "17", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading cached rdm fit from /Users/gdehol/.bauer_tutorial_cache/garcia_n8_rtmin200_rdm.nc\n" ] } ], "source": [ "# ── Fit the RDM (advantage=True, the default) ─────────────────────────────\n", "# RDM with fit_prior=True needs more warmup than the DDM — see\n", "# notes/race_diffusion_math.md §5 for the identifiability geometry.\n", "m_rdm = RaceDiffusionMagnitudeComparisonModel(\n", " paradigm=df,\n", " fit_separate_evidence_sd=True,\n", " fit_prior=True,\n", " advantage=True,\n", ")\n", "idata_rdm = fit_or_load(m_rdm, 'rdm', tune=1500, target_accept=0.98)" ] }, { "cell_type": "code", "execution_count": null, "id": "18", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " mcse_mean mcse_sd ess_bulk ess_tail r_hat\n", "a_mu 0.004 0.003 1000.0 1700.0 1.00\n", "t0_mu 0.000 0.001 1696.0 1216.0 1.00\n", "w_0_mu 0.022 0.027 294.0 403.0 1.01\n", "w_d_mu 0.005 0.004 2021.0 1628.0 1.00\n", "w_s_mu 0.001 0.001 1789.0 1594.0 1.00\n", "n1_evidence_sd_mu 0.002 0.002 1816.0 1817.0 1.00\n", "n2_evidence_sd_mu 0.002 0.002 2033.0 2102.0 1.00\n", "prior_mu_mu 0.007 0.006 1680.0 1566.0 1.00\n", "prior_sd_mu 0.004 0.004 1625.0 1824.0 1.00\n", "\n", "Divergences: 1\n", "Max r̂: 1.010\n" ] } ], "source": [ "diag = az.summary(\n", " idata_rdm,\n", " var_names=['a_mu', 't0_mu', 'w_0_mu', 'w_d_mu', 'w_s_mu',\n", " 'n1_evidence_sd_mu', 'n2_evidence_sd_mu',\n", " 'prior_mu_mu', 'prior_sd_mu'],\n", " kind='diagnostics',\n", ")\n", "print(diag)\n", "print(f\"\\nDivergences: {int(idata_rdm.sample_stats['diverging'].sum())}\")\n", "print(f\"Max r̂: {float(diag['r_hat'].max()):.3f}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "19", "metadata": {}, "outputs": [ { "data": { "image/png": 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ovQBWy7zmmmvE9k4xakvg7ZENQopM7KlUFEVRFEVRFEVR+ibqQFMURYmBlnpWomIur1WrVknYo6IoiqIoiqIoitJ3UQFNURQlBpZhp62feTNYhWrYsGF6jhRFURRFURRFUfowGsKpKIqiKIqiKIqiKIqiKK1gbm2moiiKoiiK0jeg65ZFTfbZZx9sv/32OPvss7F69eoWl2eBFSa9Zp5IDkxuzYTc0bz99tuSnHvbbbeVnJIff/xxN3wSRVEURVGUxKMCmqIoiqIoiiL5Hhm+fvPNN0vlXlYKPuecc+DxeOKeHVbg3bhxI5588kkZKJ5dcMEFkfkLFy7EFVdcgZNPPhnz5s3DpEmTpJrc8uXL9WwriqIoipJyqICmKIqiKIrSx6FI9sQTT+Diiy/G5MmTMWHCBNx1113YvHkz3n333WbL19TUYNGiRSKwbb311jKce+65+OWXX1BZWSnLPProozj44INx6qmnYvTo0bjqqqswceJEPP300z3wCRVFURRFUbYMFdCiWLx4sQyKoiiKoih9id9//x319fXYY489ItNycnJEGKNQFovD4UBGRoY4y1i5mMP8+fMxYsQI5ObmSjjot99+22R7hKGeX3/9daeOUdtpiqIoiqL0JFqFM4qWQhSU1nG73fj555+xzTbbSINaSU70OqUGep1SA71OqYFep/Zj5C4bOHBgk+n9+vWTMM1Y+HvPKsU33XQTdtllFwn3LC4uxnPPPQez2Yyqqio0NDRgwIAB7dpee9tpwWBQtqsoStvfF4ZL0/1pt9v1dCmKorQBOwbbQgU0ZYvx+/1NXpXkRK9T8uP1evH444/LQ/+YMWNUkE5i9PuUGuh1aj9Op1NeYx+0KZRVV1c3W55CFh1hO+64I2bOnCnnmiGfzHE2e/ZsuFyuFrfHe9yW3Cd/++23Tq+vKH0NzTmoKIrSPnbeeec2l1EBTVEUJUngAymr2hnjiqIo3UVaWlrEtWKME4pd6enpzZZ/88038cILL+CDDz5AVlaWTHvooYew//77Y+7cuZg6dWpke9G0tL32YrPZpINBUZS2RfFVq1ZJWPWWfOcURVGURlRAUxRFSRKsVitmzJiBNWvWyLiiKEp3YYRulpSUYNiwYZHpfM+CArF88803GDlyZEQ8I8x9xml8aM/Ly5NQCK4fDd/HhnV2BIaKtifEQlGUEBTP9DujKIqSGLSIgKIoSpLAvEHsKWYeIY4riqJ0FxTJKIZ9+eWXTSpt/vrrr5LjLJ7gtnr16ibhmHS8rFu3DsOHDxeha6eddsJXX33VZD1uvz0hEoqiKIqiKMmGPqEpiqIoiqL0cZir7NRTT8Wdd96JBQsWSFXOP/3pT+IWO/jggyXHGUPMjdxm06ZNk9c//vGPsqyxPLdzzDHHyLyzzjpLQj2ffPJJycN0++23S/6yM844o0c/q6IoiqIoSmfQGKEOwgYkE9gqjRi9z3xV10zisFgsEsbHXnylbxAIBOQhc/PmzRg/fnxPH46iKH2MSy65BD6fD9ddd50IZbvuuqsUNqEoRmfZgQceiFmzZolAxmqazIF2xx13iCDG33861VhAICcnR7Y3adIk3HrrrXjggQekwABzlzFPGqsCKoqiKIqipBoqoHWAuro6aUBqcu/mD/0UejZs2KACWoJhzgqGyWj58b4BH1xfeeUVGd9rr716+nAURemDHTdXXHGFDLEMGTJEqm5GQyGMglhr0KlmuNUURUlu1CiQ/LCQCu/ViqL0DCqgdeAHheIZBQ3mJ1JXUNNzQ/cZS9PrDT0xUKRl5TKGy6xcuRJjx45VcbIPwPsKw6WYR0jvMYqiKIqidFe7c9OmTaiqqtITngKwSAvbi9pWVJTuRwW0dsKwTf64UDzTUtDNBTTCsvcqoCUO/p2xl4lJmimm8fwqvRte79NOO01yBHFcURRFURSlqzHEM4Zm0yygwkxywmfRhoaGSHVjo3qyoijdR1ILaMyZ8cUXX+DZZ59tcZnKykrcfPPN+Pjjj+X9YYcdhmuuuabLyjXrD4rSnWhOOUVRlK5JyfD888/j0UcfleT3dH0Sth2mTp2Kf/7zn9K7ryiK0hc6wg3xrLCwsKcPR2kDw8hBEY3XTM0LitK9JG0Vzqeeegr33HNPuxLerl27NrL8Z599hhtvvLFbjlFRFEVRlNSCghmLdPzf//0fvvnmG9TX10suTw4U1pgYf/DgwXjrrbd6+lAVRVG6HKM4WleZD5TEY1wrLWynKN1P0glorD43c+ZM3H333Rg5cmSry3733Xf46quvpCLUxIkTseeee+Kmm27C/PnzZTt9ET4U7LDDDthxxx1l2G233XDZZZehpqZG5l999dXYZpttIvM5zJgxQ5x+0T1Rjz32GI444giZf8ABB0j1rFS5SS9ZskQ+M2EOsQsvvFAqiR166KH43//+F1mOFca4HKuGTZ48Ga+++mpk3ieffIJ9991XErnz78mAD1S33377Fl2De++9V66D8SBnHKui8DtGVww7AlLl+6YoqQQFMlaS3LhxY6vLUUybMmWKhDUpiqL0BTTKJnXQa6UoPUfSCWi//PILcnNz8dprr2H77bdvddmvv/5acpJFl0OnWMGbCnuV+ypvvPGGiIsc3n//fRGRbrjhhsj88847LzL/22+/lepYF1xwgYTDkj//+c+yHkVMLvP000/jyy+/xF//+lekAvys/DzkqquukuIGH330Ef7973/jb3/7m/yNkX/9618StkOx7L777sM//vEPSdhPKBhSjKWzkdMJBY0nn3xSzt+WXgODCRMmyOunn36a0HOgpG5uC1az5XdRq/0qSuKhQE3xrD3fL4pol19+uV4GRVEUJdJOUxSlb5N0OdDoduLQHugyi02eaLfbpTJJW73LbSVnjIVVJtmYpjvLSJrPZd3e0HhX4rBZOtTTYBynESd/8MEH48UXX5RpPObo+YT5XigWrVmzRhxRFJveffddFBQUyHKDBg3CrbfeKiGyFJx4jqM56KCDcOKJJ2L27Nmora3FueeeK9biBx98UI772muvFfeXISxxenl5uYid119/veRb4H4oaC1YsEDEJl5Xil1chs6w9957T2L86cwZNmyYHM9WW23V7LPTkcjPOGLECDmWzz//XAQsimjjxo3D4Ycfjnnz5olwZRwLP8/WW28tjrs5c+aIgMh9GeeJn4GvPIc8l1lZWU3OX0evAefxGI35FDAffvhhcVDGYizP887XLcHI8WO8KskHrzH/DpnXgoJtvHuRkhzo9yk1rxM7QToCHciJ/B5qiJSiKH0RFkhiG92AbWu2jxltNH36dJx88smRXF58DmT73+jAZic+nwnWr1+P3XffXTr4r7jiCmnjsw3/8ssvy3MGI5KOOeaYhB4zMXJxcz/Lly+PRJEoitI3SToBrSPEE3MIxRIKXp2BD62sgBcPq9Ua2S4FkOsf+xpL1lajqxk/LBc3/GGXdotoPEaGJxK6Wejm22mnnWQaBRmfzxeZz3PIHvn8/HzJ+cLQTTr/2Mg3liH9+/fHLbfcIg/40dONc8EfMf6w/Pzzz+L+oijHcEc+fNx2220SIvnDDz/Ij9v9998vP5gMZaRDjO4vHuPChQvxzDPPIDMzU6YxiTPdb7wmH374oQhsLBjBEEoOFL9imTt3Lvbbbz85Rn42HhvPm3HMfL9q1SoRKCjiURw05g0ZMkSOge/5Gbgvnqsrr7wSFRUVsu0nnnii2efv6DXgNnkdjPnbbbedCJd0v8UKwtwOl1+xYgUSBT+/ktyFI5i8nIK2kvzo9yn58QeCWLJsBfwBYO3adR1yEPB3pKU2QWfYeeedE7YtRVGUVIKd1ew4J2wHV1dXS6c9O8UZOcToD7bZ+QzAzmoDPkfw+eORRx6RTnd2hLNznKLa2LFjpS3/n//8RzrYuxI+d1DY620EaQ7hM6KTgxOW9HRY0tJgTnPAbE1pqUBRuoSU/lakpaXB4/E0m07RobO9vDabDWPGjIm7TQohFOe4XzbALRZztz1Qc5/tFdBOOOEEWYfHyB+gvffeW3pquA327jAskW4xwm0yZxd/rCiiMT8Mf5y4bHvhNo499lhZn/vij9zpp5+O7OxsEc4omnF7FNSYb435wQhzf/GHiPuk64Z5aQz3IMN4KVpxPV6TUaNGRVxsXJbhkPGOkSLdcccdJ/M4ML8Zq7myt4gPunSy0YlmuLm4P6PSJY+Xf09cj/nP3nnnnch2eX5OOeUU6T2jW4xVb/7+97+3WK2otWtAIZbXIfr4eQ0YWhov7x+XZ6OAf3tbAh8EeQ7ozjMq+CjJh16n1ECvU/Lg9wfg9Qfh8wdCgy8Ary8Al8ePmtoGrN24EcWsVOawI7+oPzZu3NBuEY33ynhuZ0VRFKVjsD1sPAMY0G3Gti+fFTjODngKbdGwQihzGTMvMWGUDKFrzXg2it2u0jp+tzskmNXXwVtTC7/LLUKayWJC0B+EyWyGJc0OS0YmrNlZsDjSYElPgynsElSUvkxKC2h0aVAQiYYCCG+0dEx1Bt6I44lvFEM4UPgwLMa3XbQP3J5uCOG0dyyEk24nuqniwe0wxPLiiy+OO5855b7//vu4JZEpaDGsMx45OTmybcMRSAGM26D4ExIbLRJy+/rrr0fEO8L5nM7jZfXURYsWiVhEgYpwPZ53ClXGMXEfxjZjiS3pfOedd0oPFX+UWWiC1u7Vq1eLy43Q3WZcb/7tcHrsdsvKyiR09LnnnpPtMKSU4Z906/3lL3/p8DXg5+G5it4Pj5mhq7H7Nj4/H+I6Imq2BrelYUTJCYVdOs/4N0dRVa9T8qPfp+4SyMLCGMdFIPPD5fbD5fHJez8FtEAoRQFgAn8xLRYTYLaBfSS5WRnIyszACSeeir/9+G2793300Ufr91BRFKULYajk448/LqlOKKAZIZwXXXSRdK4Thm/SecbpRigo07Ew/NNYLjqEk20pPgMwsoTPDBTYGFFCx9q6deuaLU/Y2c5t090WC4+Jx8BnAA6vvPKKpK8566yzJPVLtOFi0qRJOOOMM+S4ksplFnaYeWqq4a93IuDxwGQ2wexwwJaT1UQck+XdHniqquAuL4PJZAkJallZsPJZiaYMmjtUUFP6ICktoLE3gjdHCiLDhw+PxMkThst1NRRB0hwpfQqbQacUc8TEimU8x4cddpi4soYOHdpsvfYIfEVFRfJjcs4550SmMZcArx3FMzrAKFTRcUZhlJbujmK4vgwoptI9Zri36HrjDy6dZ/x8dGQZPV0MoYznAOP6//d//ydWc35Oioz8AeaxJgqGaRpOOKXvwr8DhiEQ5vlQlM5AVy9D8xkCzw4KdiixMU8XbXRYTLILZOygcrpbEMhMgMVsgtVshtViht1hklezuelvESPlHTYz7DZ2RpgwdfoM3Hf37Sgt2dymC433ZLYxFEVRlK6DncXMA8xIFbaDojuX2SbiswPb6kyvws5k5iRjzmLOi9exz850Rrywvc6QUf7uMX3MmWeeKR35nYHPAjQgGMfB5wDmgOb2/vSnP0Weg5jLmTmYmd+4J5Gc1x6PCGa+unr4ampCLrNAAGa7VUQza3Zmi89vFMasGekAh2hBraIC7pJSmCxWcXVbsjJhzcwSd5rF4VBBTekTpNQTO+Pl6dIxckcxVxeFMt64fvzxR+ll4I2SN63OOtD6Ogx55I8YHWpG3q2lS5fKOWavUDzxrL1wfbrPKJrxIYgPd3ygowuspqZGRC7+iDKEk2GSnN5ReN35N2LAMEvmVeP+Pv74Y8m1YPyoHXnkkVIYgQ+bzN1GV9lRRx3VZHsU2Hge2PPEH2kjlJfhli05zDoDHUd0VCp9GzZk6LZkY09LlCudgfkU6V48//zz5TeR9y++8j2nc35PCGR0itU1eFBZ60JppRPrS2uxYn0VfllRhp9XlOOX5eX4ZWUFfl9VgeXrqrFmcx3Kq13weAKwmMxId1iRl+VAcV4GivPSUZSbjvzsNGRn2pGeZo0IZG2RmZmFZ2bPR3G//m2KZ3ww0vuyoihK18NOdrb72fFtwIgTOsf4yjY4x9kJbtyX+T5e3jMaAfisyFe29ZlOhgIYt8Mom85A4Sz6ODjO9DV8JjDMG4TuNHaAJvIZob0EfD54a2vhKilB3fIVqF28RF7dJSUIIghbbjYcRQWw5eSExK4ORDcZgpo9Lw+OokJxrHGbFNTqV65C7eKlsr+GtevgLq+Ar6FBRDdF6Y2klH2Kwkq05dZINEn3EnvXKcDQJXXNNdf09KGmNKxuQ2Fp5syZqKyslB8LhrHQhbUlUJi78MILpeeGItfo0aNFKGMIFAU7WquZYJk/oscff7wcB/ffEWjtppi6xx57RAQ0VgFlHjSKfyxcwGSjhJZrzuffFI+BfzexuW6Y0JTiIaG4x2Pk3x63wW0lShjmQ21vTEyqdAy6L88++2xJWs5xRekI7Azg/Yyus2h3lTHO6Zy/ePHihDrRIg4yf1CcYz5fEB6fD25PAE63V6bTXRbtIOM/a9hBxlBLCmTMK0pXWVczesw4vPPhIrw+bw5efOFprFy+FC5XqEpnenoGpk07WpxnKp4piqJ0L4noPGRBAopcdKBFu9k++OADGWcIZyJgTjY+D7BgGp876HxjdEpnImg6C5P/exqc8NXXwVcbymWGYAAmmx2WNLrMuqZDNiSoZbC0dES8o+PNXVaKoD8AE/M9O+ywZmVLyKdZQj4dkltNUVKdpBbQjPLFBlTz2fCPhm4Nij1KiNjz09Y5jQd7VS6//HIZ2gPDLaMrU0YfQ+w1Y28Nh1hYuIH5BKIxQj0pWEXnKGDPTrz8BIQ9TRS9aLMmFOmYUyEezC9FMbY1KOJFwwIFHLbkGsTmn2MFU1bipHCoKIrSWRi2yY6mlkITKdZz/gsvvBC5R26pQOZiiGU4/DIkkIX33YMCWWvU19fhtVdfxqtzXwyFcdqyMXnaBTj48OkYO7wfdps4EP0KOleESFEURekc7OBheCZTrGwpdLF1hwOMTmU+n9Dpxggo5j/mZzCKnnUFDMGU8EyvV4b6Vath9flgYgoDRxpsebk9IlKxWqdU7IwW1NwhQc21uQQmq0Vcb9bsbBHeVFBTUpmkFtAUpaMYeaOWLFki1TZTgZdeegnnnXdeTx+GoigpDsPi27tctIDmD4SFsSiBTJL0e/yNAllYQGsikJlCeceSSSBrjeXLluD0k45GyeZN0iMfEhpNWL/iZ7w//3EcfPos7Pr3U3r6MBVFUfoU7Nxh8n6m5YlXIKyjMKcycznH8sUXX4iwZuQc5n6jaWho6PC+KKAxvxrTxDCH2xFHHJHQSvfyOxUIIhgMSEgkBTS+p3gGFlRzOODIy0WyERHUMmMEtZISuAJ0qNlCDjkpSpAhBQmYl00dakoqoAKa0uu44YYbJGTz3//+N5KdX3/9VSqRMrxVUZj/g4JqfX29uDIVpSPEhm7Gg/PXb9iIjWX1kqDf7fHB42tbIEuzW0PjSSyQtfR5XZ4AVq4txZknTEVVRVlkengJ+d/TUIV3n7kG6y86DP0LQ1WaFUVRlK6HkSIMf/zrX/+asHzOLDBQXl4ukUqEghojWxhdw8qdZNOmTU3aX0wB01pBr3jzBg8eLG14FjZgfmSmjUmUywx89flFPKNYxuo5Eo5ptcDkt/KAYLKnRrqP+IKaOySoBQMwW22haqDZWbCwyqfDIS41zQesJCMqoCm9DiYYTQXxzEhKypBTRSFsMLHirTGuKB0tosJqwq397bAxmpNbiFWbalJaIKPgV1vvQU2DBzV8rfeE3oenGeO1DR5x2K3+8XlUlG1ucXt8QHHXV+CZZ5/HTrM0j6qiKEpX5Ok0kvgzHybzHH/66acidrHQ2CGHHJKQ/bDa5rx58/CHP/xB8jczRzZzLjMPGguJ5ebmYscdd8Rzzz2H4cOHIz8/XwQwpqNhepeWyMnJkY5vuuWYeoXhmoSpXZhXecSIEZLLuaNExLJgMMplFjBUu5ArqwvymCWHoBbqsJKQVI9Hwj15HmQ+Q1JFUItyqPWy86CkJiqgKYqiJAl0IzKP3/r162VcUdoSkdwMs/T4JNTy0KOOkxCV1mDD9PgTT0FxbuJCTBLrFvPHiGHuRoEsSixrcPk6tO0NvzF5NBverQnTJvz39ZcBFdAURVESDsWnE044IeLmojts5MiRkp95ypQpCdvPwIEDJdfnHXfcIQXCmNuZhbr43sixxn2ykBhdbyyqQxGMotrLL7/c4nZZ5IkFAijMMe8ZnW6EVT4p7ETna26XyywslDHpfnOXWd9qA5ptNhmaCGpuN5yb2PEVhNlmhdmeBltONiwZFNQcKqgpPYYpqDaHCD/99JO8brvtts1OFHsl2LPPG73R46AgkkOA54fnJRG5C5Su+btjbgdWd2Sl0dZ62JSeRa9TatDd14kuKoZbUjBj6GWdy4sGp1fCL5nkn41un8uJY4/cGxXlpc1yuxDenwuLiqUCZWZm4qpwtgXDQmudUaJYjBgWPc3rC/e6twO65bIz7cjJsCMn047s8KuMh18d1iDKStbj4nNOxrq1IXdnawwfPhKrVq3Ywk+s9EQ7TVGUzv1O6TPOlsHcZ1dccQU+/PDDJpU/47rMmM8s4BfRjNUypWPHHBbNOuCucrndWLV6NQZmZMDRy5+9xJnnZZVPN/xub0RQoyuNVT5FUEtPg9luV4ea0i30LXlbURRFUZIcCk5urz/iLqtzelDv9Im4xOT+xGa1wG41i3jE0EshNx3Pvji/WaJ845Xi2TOz5ydMPPN4Q26xeGGUjQKZG3VOr3Sst5c0u6WJIGaIYTmZDuRk2OSV0zLSrDC38cDBB8PKMpN89vXr1rQZ3soQH0VRFEVpi/fee09EfeZwO/roo5uJZ4bLTJxmDM3k74/hMpOwTH0Mbw/8bWauN7PdBmtWU0HNuXGjGMs5T4oS5OTAmp4u+dNUUFO6Cv3mKoqiJAnMCbJx40Ypwc5xpffDhqAhlnGod3lFcPJ4/BGxjNUt7VYLMtNssFkdrW5v9Jhx4jB7fd4cvDJnNspLS1BY3A/HHHcSpkw7rk3xjMdT7/KFhbBw+GRD/BxjDLdsL9S5stIbHWLxBbKQm8xuS3xv+tTpM/DDd1+3Hd560qkJ37eiKIrS+1i3bh2eeuopCeW8+uqro1xmRsXMYFOXWS/MZZY8gpoXfrcb3vUbJFmDyWaDJT0d1uxsWOlOU0FNSSAqoClNYJUahgpqiJ+idD8+n0+S2pLOJKJVkh+6tiiYudx+NLi9qGsICVF0lwWCQVjNFMvMSHdYRVDqTMJcimQnnnKmDLFJ98s21TQVw2LCKY2k++3FRhdcTPhkPIGM4llPFig4asqxePj+u1Be1nJ4a35BEY499vgeOT5FURQltTjjjDNwxumnR1xmAZcrJJrREqUus24W1OziOCMRQc3lhLemBiYEYbI5YMlIhzUrC9aM9FBRgvDyitJRVEDrZYwfPx7p6elyM6GDhQk6WXHmwgsvbFd+ssMPPxxz585VAU1RegCpkJiTI+XUtdJQ6kNRTPKWef2S9J5imdPjg9cbkDBNs9kkbqs0mxXZGeY2wxE7ItL9sqIc3y8tRUllg4hldJV1hMw0a5PQyexw6KSRb8wQxhhumQp/qxmZmRK+2lp4692P/AeZWd2XG05RFEVJLUSciST/D1fMlNQAYZcZUyqkwG9iXxPUWOHT39AAb3W1ONQ4zxzlUFNBTekIKqB1U9nm559/Hk8//TQ2b96M/v37S6/FKaecIpVfEs0bb7yBIUOGyPjvv/+OP/3pT3IMf/nLX9pcl6FjiqL0DDabDeedd54k/eW4kjowkT+dZBTLnG4vahu8UhnT4w0l+TdRLJO8ZRZkpdlFPEv0/n9fU4nvFpfgp+Vlst/OJN03pkfyqvUiWgpvnXbMiTj6mBlwenvfZ1YURVE6j5G3zAjLNAoBNHWZqWCW7IKaxeGQoZmgVlUtl08EtYx02LKzYUlLDxUl0Ha40gIqoHUxFLAOPPBAyWtkfGlZVXHhwoW46aabsGDBAkyYMKHL9s9ts0zzmWeeiQsuuEDKN7/66qtSfpmx+wzVPPfcc3H66aeLoEeOOuoomT9s2DDceOON+PHHHyW0c/vtt8edd94pAqCiKEpf6piIhiGOUgnT6cfmigb4yt3iMKN4JhUxgYhYlptplRxmXQFDPlesr8a3i0vw49LSJi6zgpw07DyhH0YNzkVuB5Lu93Ziw1ur69xyLR1p6XB6XT19eEoSwDw6nopKmK1WmGxWmK228KsVpl5e7U5RlHDyfyOfWbTLLFwp02TV+0CvEtQYfsuQz/p6+MRIYobZQYdaGuw5OTA70lRQU5qgAloXP+BRPOPDXXTlL2Oc0zl/8eLFXfrAx+SWDN/84YcfMHLkSNxyyy2YPXs2xo4diw8++AAXX3wxjjnmGHkYZQio4WBjQkwKbu+++y7cbjfOP/98yc902WWXddmxKoqiJFPHBEMtGRJpuMvqGryod3pQW9eAtWVuIK0OmRnpsNvMyEm3w2rtWhcTP+u60jp8+3sJvl9Siqo6d2Qewyx3GNcPO4/vh2EDslMitLKncfv8KMhNQ02dp6cPJSlg6of77rsPL7/8MmpqaiQX4/XXX4/hw4c3W/bee++VZePBNsWsWbNk/IADDsD69eubzJ8yZYp0yCUjzGPk2sDjZeaccDiQ1RIS0Kw2mNP44BVyJ5hkmhVmW+hVv3OKknqExLIggsEowUxdZn0GugibCWp0qNXXoyFKULNkZMCWnSUFCSTkUx1qfRYV0LoQClJ8wIsWz6JhImPOf+GFF8QF1pXk5uaKoDdgwAC89tprGDRoEEpLS0VYY76l6urqZiIehTI61IzKgBTTysrKuvQ4FaWvFxGgQ7S2tlYEbqV7Oya4DY8vIKGXkrfMGaqIyeqYXilBj1CSf5sFGWk25GRYUJibhrS01itjJgLmMqPTjENppTMynTnIth9bjB3H98PYIXkJDw3tzbg8PjhsvIbpIozGC3vtazzwwAN48cUXRfyiq/OOO+7AOeecIx1r9piEy2effTZOPPHEJtPmzJmDhx56SNygxvd1w4YNePjhhzFx4sTIcixWlMwEgyY4igpC44YLxedDwOOGr6EhFMoVNqTAYoHZYgkJaXwIM6q98X3ExabuNUVJWpeZj7/vjS4zEcLVZda3BbWwSBYtqPlqa8WdDDNgsadJUQIJ+WS4p8OhglofQgW0LoShRe1drisFNApg7ElmY9hqteLZZ5/FvHnzUFBQgO22206WiSfyUTRj+CdDPceNGycutMzMzC47TkXp6/C7umzZssi40rUdE15f2FnmCSX5r21wh8QyqYgJWExM8m9GGitiWptWxHS5/F3uNqG77PslJfjm9xKsK6mLTLdZzNh6VKE4zbYaUdDlrrfeSoPTh4K8NPTLT0e904v1Uee4L+LxePDEE0/giiuuwOTJk2XaXXfdhX322Uec6EceeWST5dkeiG4TrFmzRoQyutcNB+iSJUvku7rTTjtJgZRUfZiSPEdx3AaSUJzimghsfvjqauGtqgrlSDIZ7jUKaJZG9xoFNoaFqntNUbqNiFhmfGfDhQAE4zuurm2lE4Iac9ya7Q5YszJgzcwKCWpyn1eZpbeiV7YLiXVIxIPzN23a1JWHgW+//VacLXS0vPnmm/j000/x9ttvi6OMwtorr7wSdz02ov/whz/g+OOPl/cM/aQzRlGUroGO0EMOOUQEoPZUze2LdLZjwmck+ff44BSxzCPvGZ7JXGJ80HVYLXDYrMhKYEXMjlLv8uKHpaVSDGD5umoJISM0lo0fXiBOs21HFyLNrj/f0fAaUrTwy2voPcNvnS4vGlx+ESPt7vByxjk1h3LF8dpTRKusdcHj86Mvh0bX19djjz32iEyj6LX11ltj0aJFzQS0WP7xj39IO+OEE06ITKMTtLi4OGXFs7YwBDJwcLTgcqG7xR/lXgv/jYXca2FxzWKBJc0huXbUvaYoiUG+f5GKmYE4LjP9HVUSJ6ixwqe7rCIkqDkcsGZmwJrFogQU1BwqqPUi9M7RhdDxxbw8rYlovIEzrLKr+Omnn/C3v/1NwikYxknBjNX9OLChzPAMQoGNcDpDLgiXTU9Pj4hwDP2cNGlSlx2rovR1KJqxWAdDpVRA27KOiY0bN6GixiXhmLVOrwgpUhEz7AyxW80imDEUk9UpexKGi/6yvBzfLN6MxasrQ8cYZuSgHOw8vj+2H1uErIymIXS9DQpehvAVEsQQFsSaTqdnwCR/A+EcVQgJoGy00jUoFbXYgDWZpJpomt2M/GwHsjLTxa1nMZtlPq97bmbonKan2USUdLn7roBmdOYNHDiwyfR+/fpF8g221tZg7kEK12Yqk2HoQGMqCOZa/e6778T5zvxoLFwUvVxvRdxrdn7Ott1r3ppaBP2V8ncfcq+Zw7nXLDDZ7OHwUEfEvRbJu6a51xQl8p2i+/XWm2/GtKlTRTSLfKHMia+YedBhh8l+LrrgAr0CfZhmgprfL4Kap8oQ1EI51KyZmbBmZ0kOTbrUtChN6qICWhdC0YpJrduzXCJhFU15mDCZRMRjY3XmzJkyb/r06eJAY0gGG7WHH344xowZg+XLl2PEiBEynzlN7r77btxwww3So8xXzjv22GPxxRdfJPRYFUVRuqJjIiu3AItXV7DZDCudZVYLcjKtIqgkA3TE/b66At8tLsXPy8sk95rB4OIs7Di+GDuN64f8nOTOFRWNlIaXKJlgjCOs6XSZF75+vD6NjrCQ889sCGDhwWYzw2I1S/45CmAMYTUEMEMos1hCr7HTXS4nTK5NIkTyN68luA7DdbMymgsdfQWnM5RbLzbXmcPhkDyprfHUU0+J+B/tXiNLly4V5/oRRxyBiy66CF9//bUUD+D2Lr300k4dJ/92Ghoa0FV4nU64PS4End1YlZUP9nLeG889w/hFXHN7EKwP5V0TNw2R74hF8q+JmGa3h0KGWNjAyLlmDH1AqFRa/04bry3BFC38e2MKBA4phfzGhF1m4e+H3+tFwOsLWbcpYkcWDYYcaAncd2T/PZTDze1yI6jf8STExB9PcSYH/H54PR44a2sRXB+AycKOFQpqGbBkZoYcag6HCmpJQmttRQMV0LqQU045RSrC0TER7weJDhM+DJ588skJ2yfDJdr6o3jwwQdbnM+cZxwMDj300IQdm6IorcPGEAt18IGzLZdVX6U9HRM8d8fNOBnFeW3/CHYnFI5WrKvGN4tL8OPSUjS4Q85fUpSbJuGZO43vhwGFPZdrMtYBFi16xTrDYuFDiiF6sZOfohTFTIpeFC6tFlNEALNEi2CxwlfM9O6qbDhmSF6frqJoJPZnLrToJP98uDbc6PGgmMUcaazWGcuTTz4p6xsFPVjpm+53tkPoSuuMC42Fj3777Td0FcH6evg3bIS5qnXRMBnyOcnA9iWdNoFQYQOjcijYWWDkbrPbxLkmidEtUQPFhT78N99XWLVqVZvLMEcyv6spAf/uje9AuENG/orDf8v8ffL4fUAXa4H8rvn8TA3R/VWcPV6vRA+t27gpdA9QUgZxRvq8TMQbum/zPs1w4vR0mNPTwvdsu3Z+9BCsPt4WKqB1IWwwMqSBFeGM8Ae5yYdv8BTPOL+jleIURemd8MGQD5xkhx126OnDSdmOicKiYhx9zAwkA7znswAAq2cyr1l1fWNDOzvDHnKaje+HYf2zE/4gS7FLcrwFWnCGhR86DCmM401CIfn8LY4wk4S8UgSzyasFVitFrrBjjBWpwmGRzZxh4fFUoK8LCUboZklJCYYNGxaZzvdGUYB4fPLJJ+JeOfjgg5vNM1JGRMOiRBTd6ELLz8/v8HFye3TOdxXemho0WK2w54eqcKYiodxrvsYQ0Wj3mgjdFM8YGkr3GnOvOWC2h0ND1b3Wa6DzjOIZo0haE8EpnLFaLt2mSVkhN9plRvHBZEKQv1EUgXnf5njU4ix+duHFF+Pb77+X/IunnHgizvnDH8KbCuLJp5/Gq/PnY+26dfKZd95xR/zl6qsxZPBgWWbiDjvg3Jkz8fqbb0qHwtOPP46iwkLcettt+ODDD+UexO2Jw91igSPGtds9pyQoomf/IUNgVwdaSmOEfHLg37c41CxWWLOyYM3ICLmL0xwqqCURKqB1MWx00hXGinAMceBDH3Oe0UVB55mKZ4qiRMNGbsqFUPRAx8QBB7BjYoOIHkbHBF8pnj0zez4yM3u2Y6KkokFEMw6lVY3hM+kOK7YbU4SdJ/TD6MF5XSIu+XwB1Dm98Pr9cNgtIm5RyHLYzFFusJAY1pb7y5je18WlvtJe4ffryy+/jAhozIX666+/4tRTT21xvW+++QYTJ05sViiAotpBBx2EGTNm4Pzzz2+SL62oqKhT4hnh32J7Qiy2pCPDb0+Dg06AXkgk95ohsPGhzdkQKUgYMBu516wSZiS5fRz2xqqh0QKb3hdSpl3R2ndGwuf5O8FiFklQwCjYRDALi7/hvJfs4DGZrK3mMnt+9mxcf911uOH66/HmW2/h3/fei+222w577L47nnn2WTz6+OOYdcstIuavX78ef7vxRtz+z3/i3n//O7KNl+fOxcMPPAC/z4dRo0bhnP/7PzFD3H/vvVJ9+PY778QGmiOks8ncM/kVWfwozQFHElwzZUtpjDzg37yfYdX1dfDX1CJgtcDCkM/sbMmjJtWcNeSzR1EBrRtgg5TV4KIrwimKosTC3EPME8TwpNg8REojY8eNx9vvL8QLs2fj3TfmorysBIXF/XDMcSdhyrTjekw8q6p147slIdGMrjMDClXbjCqUEM2thheIiNUVDxxOt0+qeFIwy8myoyg3B9mZdhHLerpQgpL88J5DoYw5ypjsf/DgwVJoiJ1+dJdR2K+oqEB2dnYTlwqrd/JBNBY+kDMNxGOPPSYOGIpszKPK99dee203fzolbuXQOBiOtYDPj4CzAb66WgSNHI1MKUXhzBIS0KSoAQcbQ0TDAhvzsGnutV5B2WefY80LL8LfRg61hBG2Q7NWMoXbITOOReEeu3c4+f9JJ5yAqVOmyPj/nXuuOM5++eUXEdCGDR0qRQb2328/mT940CAcdsghePu//22yjalHHYVtJk6UceZd/ezzz/H4I49gl3B41x233YaDNM2N0gXQWUnnGcKid8DnQ8DtgbusFK7NJdLBwU4Na3ZOxKHGe7Hmu+w+VEBTFEVRUorN5fWo91hw1lkzcc7Mnu2YoGD17ZIKEc1WrK+OSohvwvhh+eI0mziqUCo8dlUxgnqnVyp50t02uDgb+TkOZKbZUiZ0UkkeLrnkEsmrc91118HlcmHXXXfF448/LuIaw6KYkmLWrFlSnMiAeRtZQCAel112mTjT/vnPf0qVzyFDhoh4dvzxx3fjp1I6+vDGwWxvy73mhbfahUC5LyJ8RNZl5VCHPVRtLtq9FhbXKLYpyc/6V+fDuW59j+zbC2Djm2+jaO+9OrzuyBEjmryn6O8K53ejcPbDjz/i3vvvx5o1a7B85UosW7ZMqg1HMzwqjH3J0qXyuu0220SmMaST9zNF6WrMxj0zM0ZQKymBKxCMdGZIyCcLExhFCTS0t8vQX7AOoom9le5E/94UpbnLa0NZPbLTQ86qnsDt8eO7JWVY+FMV1pWXSm4xg9GDc8Vptv3YYmSl27rsvuDy+FHn8oJnICfTjqEDspGb5YDDpqEcSudh+NYVV1whQyx8WIxXqOitt95qcXvM0cPwzegQTqWPuNfqG+CrqWEyxlD0HXMqWlpxr0W52PTBLzkYPH0a1rwwO3EOtKjaM3SZRRPq7mns9GEy9UFTj+rUbsxxQhqN9vTjTzyB+x58ENOPPlo6CE49+WQs+PBDvPX2202Wd8TJBcew9GhsKgQrSSOouUOCWjAgBWMooNmys2DJUEGtK1ABrZ0YOQGYTLK1RJyKkkiYaJnEJmFWeid0frzxxhuSXHvs2LE9fThJR3WdG6s31UhDOD2te3++mFfs99Uhp9nPK8rhNUKa+JBRnCWFAFgQID+76/Im+ek2c/ng8viQZrdgYEEG8nPSpBiBus0URUkZ95rPA2+1E4Fy3kfDFRTNLbjXooU1da91K0V77ynDFhWzCFfLDPr8CLKEM99TiGVIZg84ZB569FFceP75mHn22ZFpTzz1VKsd1ltttZW8fvf995i8776R/JB0sClK8ghqoTxqAa9XChIw3DMYEdTSQoJatENNc1h2GhXQ2nuirFZJwFlaWipiRmdKr/dWmBfFKH2dDMlHewP8Iad4xupneXl5el77COzdZP4zYzxZqKurw/PPP4+nn35aCqGwgjALobAiZncVQqmscWHlxmr4/cEuFamiobNs+foqEc1+WFomOcYMCnMcGF5sweRdxmDYwM4lQ28vFMxYFIBkZ9gwuF8ecjPtSHPoT7iiKL3NveZr6l6TlRvda2ZWDnUY7jW7vG9S3EDb5z1GRCwzxNJwIQCBSe87mMusK2BOR+Yz22/yZMkX+tobb+DdBQtQWFjY4jrMm3boIYfg5ltvhc1uR3FhIe66+254vKHfZUVJJsTVS+NFtKDmdsO1ebN8N+Ueak+DLScblox0FdQ6gba+O/DDzxLvTCS5evXqzpzrXgsf9OmcociowmJioXjGH3ulb0ABev/99xeRKlnEaCYIZ94jVp8i/PHlfXDhwoW46aabpCImq/d1JWVVTqzeWCPjXS2e8fOt3VyLbxaX4Pslpaip90TmUbTaYVwxdprQH8U5VqxavQr98tO7TLxjfjWKdgzLLM7LQGFumhQF0IIAiqL0XveaPb6TyRDYvB74XdHutSAtGKF1bZZQ5VBxrzlg4oOiute6FLk2kYqZgeYusyQLc7ztllvw91tvxfEnnYTMjAypznn9X/+Km26+WSpysnhKPGbdfDPu/Ne/cNkVV8jnPX7GDFRUVnb78StKpwW1MAEPHWpuODduknsoBTW60qxZFNQyYElPk/uwOtRaxhTUJEtNSquTbbfdtlWxiGGcSiNOpxMrVqyQMs8a3po46HRMpIhCRxvdTbSit1bOXOlZkuk60Xk2fvx4EfToNI2Ff590ozEvUlc40fjzVFrpxK/LN+Ldt17F26+/jLLSEhQV98P0Y0/E1OkzElZxc3NFvTjNvl1cKoKdQYbDiu3GFmOn8cUYPTgvEirJBOsrV63EyBEjm1Qk3FJYDKC+wYtAMIjMDBuKctMkt1lGmoZxp/r3SemedtqW4q2uRu3S5XAUFXTZPpTEYjjXQiGiFNp8IUGHM02mkHvNGuVec6SFHyp7t3utvfc/+T1buRIjR7b9exZxmRmDn4JZIGwTDItmGhrW5bAowqrVqzEwIwOOJOlwVVIPcYt6fSKo+d1eEb/NdluoKEFODqzp6VLlUwW1piRXt0AKQIdVIh+WegNGqJnD4dBzoyi9CIZt0nnWUj8LRTXOf+GFF3DuuYmthsl9biqvx8dffIuLZ56A0pJN0jDn9HVrV+O7b77CfXffjmdmz8foMeM6HRb67ZISfLe4FOtL6yLT7VazVM7caUI/TBhe0OXFCiiWNbh8cLq9sFktKMh1oDA3XdxmPVUoQVEUJVWg+6ylDscm7jWPB74Gp4xHcq8xLJTuNyvdb45QcQN7lHvNyMHWh0WKiFjG9j7PJdsEhstMwjL1cVJRUja03m4T0cyaZQhqoRxqzvUb5B7Je6AlPR3W7GxY6U5LU0FN73iKoihJAn+4WECAvcbJYA5mzrP2LpdIAY3hixtK67Bk9SYRzyrKS2W6cU6M1/KyUpx+0tF458NF7XaiMZfYD0tKRThbsb46Mp3OsgnD86UYwDajiuCwd/3DkscXcpv5AgFxmA0bkI28rDRkpFnVOq8oipIAKPCIyNNCMaZo95qvvl4ciHRU8VfGZDKLsNYk91rEvWaLuNrEvdaLXFdNXGZGLjP53Q27zJIgl5miKF0lqNnFcRYtqDFs3ltTExbU7JI7zZqVBWtGutwXGTLfl1ABTVEUJUnwer145JFHujxEqb0wdLMtIU+cYpuYRyFxlSbXldaJgPbhO6+J86zlZf0o2bwJr8+bgxNPObPVJPw/Ly+XEM3FaypFoDMYPThXRLPtxxYjM93WPQVC3D5xnFksJuRmOyRMMyfTAZtV3WaKoiip4V4zMY9BjHst7MwQ95qt0cWW5O41eUgOBkVI9DNNjYhm/J2MdpmpYKYofVlQI3Kf8Hjgb2iQzoYmglrYoWbcB3szKqApiqIkWe67ZKnAyfxmzIvSmojGH9dEFbrw+QNYs6lWQjfzshx4Y95LkbDN1vb/ypzZzQQ0ny+A31ZViGj2y8pyeH2N53RIvywRzXYc1w952d3Ta8bjofvN6/cj3WGVY8jPdoho15ucC4qiKH3BvWa4tMS95qN7rS7sXgtVDg1VHY1yr6WxsEHIvSaOtR52r4lY5nSKKNhQWRkJ2wqazCGXGdMH6G+ToihR8F5liXKcNRHUqqrllkHxzCwONQpq6eGw+N4lqKmApiiKkiTY7Xb88Y9/lKS/HO9pzjjjDKm22Z7lthSvzy+VNksqnVJpk24sFgxojwOuvLRExuksW7auSkSzH5aWwuVpLHxQnJcuohmHfgXdk0yex+Zy+1Hv8shDWE6GDcX5OcjJtMNuS25HgqIoitIyInoZ7jVHK+41n6+pey1k6opyr4VCQyPuNaOoQYLda/Kg63LB73TBW1cLX20d/G4Xq8nBb7WFnGYi7Olvk6IonRTUAgEEGPJZXw9fFdOkmCS/GgU1e06OhMBLlc8WQupTBRXQFEVRlLiccsopuOmmm9qswnnyySdvceXJVRtrUF7lREFOWiRxPqttsmBAWw60rNxCvPrhMny3pBS1DY1VknMz7dgxLJrR8dVdvfx00tU7vfK56DYbWEy3WRqy0m2RKp6KoihK33WvGaGh4l6rq4W3qioUNmlqdK+FqoPaYE4LC2zWjrnXxB3X0ABXSYmEZlI848Mt3WV8kLXn5ckxirDX0NDFZ0RRlN6OyWxuUVBrqKpixmGYHQz5zIAtOyvkzE1LPUFNBTRFUZQUYnN5vYSHDCjM7PJ9ZWVlYcGCBTjwwAOl2qbR8Dca7BTPOJ/LdRan24dVG6pRVeeWypOWKIFp+rEnSrXN1uDxWPrvho+/Xy/vMxxWyWdG0WzU4NxuFaxcbh/qXF7JCZGVYcPQAdniNkuz60+toiiKEiIkkFkBDi2513wU2Ohec8PHwkK+UCdWxL0WdqdJeJQj2r1mgd/tga+2FvXlZfBv2Ag3l8/Olkp6ttwcvQyKovScoOYJ3Z+8DB2nkdeeJjnUbHKPSgsVa0lyQU1b9YqiKEmCz+fD//73P1RWVmLs2LHN5vsDQZRWOUVAY0iiJezU6komTJiAxYsX44UXXsBTTz0lbjTmPGPYJp1nWyKe0aW1amM1auo9KMxJbyZ2TZ0+A/fdfbtU24zngOMPsz09DyO32Q87hJ1m44fnRxxs3QGvCY+fhQrS7BYMKMhAfk4asjLsTcRARVEURWm3e83O37G23WvemloE/ZUsHBpxr/EhVfKvmS0wZWbCnl8AW3qannxFUXpeUEsLuc5iBTVPRSVMZoZ8OmDNyoA1MyskqIn7Nrkkq+Q6GkVRlD4Miwf8+OOPkfF4ghMHCmhMSJ+b1T0J8CmSnXvuuTIkCoZa0nlW7/KJ88wcJwwlMzMLz8yej9NPOlqqbRoFBYxXimd7n/B3/OUP+8g2uhOGZ9Y0+EPOubwsDO6XJyGjaQ79WVUURVF6zr0moaNsRzhdkXFFUZRUEdS81dVwl1WEBDWHA9bMDClKIMtmpPf4fU1b+oqiKEkCc4pNmjQJpaWlocTEMVTXuRFgPjCTSYSb7hLQEg0/x8oN1fB4AyjMSWs1h8voMePwzoeL8Pq8OVJtkwUDCov6IWvYXsgcsjsO2mNst4lnLFJQ7/LC6fFJaE1OugVjh+aif2Fut7gBFUVRFKU1evrBUlEUJaGCmtvdKKhZrcgcNhT2gnz0JHqXVRRFSRIomu25554SvhkroDExfUWNC+kOGzIdVlTWuODxNg9rTHb4GZavq4LXF5CCAe1J7E8n2omnnImXXv0fFnz6Ha649WnkjtpPnHEH7Tqsy4+Z55nHXV7jgtViwsiBOZgwPB+DCu3Iy3KoeKYoiqIofYgzzj4bf7nuOhn/atEibL3ddli/PpSLVVGUBApqkrsxF46iAum8bq2wWHehDjRFUZQUgCGPTrcXBdnpkuekvNop07o7dHFLKKtyYvXGGjl+VqXsDBTe3vpilYwftNswZKZ3TaJROv0aXD455zarBQU5DhTkpktRAOZYa9CKZYqiKIrS59lhhx3w0fvvoyC/Z10xiqJ0DyqgKYqiJAnsVaEw43a7m/WwVNe6JUOwkWjfYjaLCy0VBDR+lpLKkHhmt5olwX5n+eT79aiqdYvza58dBiPRUKCrc3rE8ZeRZsOw/tnIy05DRpq1XW45RVFSG+ZbSR88UHq9ffX1CHq9PX1IiqIkMXabDcVFRT19GIqidBMawqkoipIkeL1e3H///Xj33XdlPDphfWWtG5mORrdVZpoN1XV0pfmQzDBv2Mayeqm26bBbtkg8Y/6x9xatkfHD9xoBu7V5nrjOCnzcNiuc1jo9yMl0YNywfGw9shCD+2WLy03FM0Xp3fhdLvidTpR+9DFKFnyAioVfwV5QAHt+fihpu6IoSQ9DKd986y2c9Yc/YMddd8WhRx6JDz78UIYjpkzBzrvthnPPP1+qnRssX7EC511wAXbefXfse8ABuOLqq1FaVhaZ7/F48I/bb8ekyZOx+9574193392k0FNsCOdBhx2G+x54oNWQz2133BFffvUVjpo2DTvssgtOOvVUrFq1Cg898gj22W8/7DFpEm6eNSspwtUURWmKtggURVGSnDoJ3/ShOK/RbUYxqrrejdp6D9KTtPKjPxDEhtI6rC+pExFqS4/zva/WyHkYWJSJXSb03+Lj89Ft5vLC6/PLsQ3pl4X8bIcKZorSx2DVr3VzX8WGea/JuMHKx5/EoGlTMeTY6XCXlSHoS+4OC0VJJPWLF6LqszkIelzdfmJN9jTk7T0DmeN37/C6t952G66/7jrceMMNuO2OO0QQGz1qFG6bNUtc/pf++c949PHHceXll6OkpASnnXkmjjjsMHnvcrlE/DrltNMwb+5cZGRk4JZ//AMffvQRbrn5ZgwaOBCPPPoovvn2WwwdMqTTn8/v9+O2O+/ELTfeCLvDgT/++c846bTTsM+kSXj6ySex6OuvcePf/45Je+2F/SZP7vR+FEVJPMn51KUoitIHsdvtuOKKK/Dbb7/JuAFDNW0WczMXlN1mkVxoRXnpkdDOZMHvD2BtSZ0IaLmZDhH8tgS6wxi+SaZMGtXpz8veXJfbj3qXR5KT5mTYUJSXg9wsu5xPRVH6nvOM4tm6l+bEF9bC0wcddSQ8lRU9cISK0jPULHoDvooNPbr/zghoR0+ZgkMOPljGj58xQ9xnl15yCbbdZhuZtvdee2HZsmUy/uJLL0n45XV/+Utk/X/dcQf2njwZ/3v3XRxy0EGYN38+/nbttZi8zz4y/+abbsKXixZt8ee75MILsf3228v4wQcdhGeeew43/u1vSE9Px6iRI0XIW7psmQpoipJkqICmKIqSxNBxxVBN5uOKhWGcDDlscPuQ1UXJ9DubR2zt5lpsKq+XXGWJEKZe/2SFONpY/XKrEQWdEvToNmM4bJrdgoHFdJulyXlLNvFRUZRuJBjE+lfnt7oInWmDj5kGk82mOdGUPkPOrlNQ9dnLPeZAy9n1qE6tO3LEiMh4elqoYFG0W8xht6Ms7DT99bffsGLlSgnfjIa5aFesWIGVq1ZJSo1twuKbrO9wYKsJE7CljIg6zrS0NBQVFYl4Fr0fHoeiKMmFCmiKoihJDEM0KfrkZjmazbNZzSIM1dS5k0ZA83j9WLOpRooGFGSnwWrd8lSby9ZW4aflZaDONXXf0R1a1+X2iXBG8x7P0dB+2cjJsiPNrj9/iqIApR9/2qYoRida2UefoGCP3eCtqtLTpvQJ6P7qjAOsp7HamreHzC0UAWIus9132w1/vfbaZvNysrOxfkPIgRebi8zaRl7E2OV9ccK/bTHbMJu7JzU5cz26y8vhKauAp7w8PM7XCpgsZjgKC2EvKoKjiK+FodfCQpg1F6SiCPoEoSiKkiSwgfX++++joqICY8eOlQYYQzRbc3Cl2ayoqHGhf2EmLD3spHJ5fFi9sVaOuSAnDVaLOSFFCOZ9vFzG99x2EAYWZra5Dp1qDU4vnB6fuM36F2TI8bCAQU+fI0VRkoeAzwd3aWm7lmUONLrVFEXpPYwdMwZv//e/GDhgQCR1RlV1Na659lqcefrpEvZJJ9i3332HCePHR9pqvy9ejN133TXuNm02G+rq6pqIdGvXrcPwYcO65TMFAwER+imIiTBWVi5CmSGW+esbWl3fvbmk+USTCbbc3ChRrShKXCuCNSP5K8IrSqJQAU1RFCVJYCPrm2++iYzXu3yoc7YenpmRZkVVnVsKDcRzqXUXDS4vVm+skWMpzE1PmFC16LfNWF9aJ0LYYXsMb3VZt8ePOqcHQQSRlW7HwOJcOSfJWmRBUZSehY4KR3Fxu5blA6NYWRVF6TWcdMIJeGnOHFx+1VU4/7zzxAV257/+Jblox4weLUUETjnpJMlHxlxpo0ePxpNPPSXFB1pixx12wFv//S8OPvBACct88plnmghqCSEQQNDvR+3vi1G9eTPchpusrBzeykqZ11HMDgeCAT+C3jjFUoJBEeXEgbss1KkZjSUjo6m4VhgW14qKYMvJlpyzitJb0KcKRVGUJMFisWCPPfZAWVmZjNfWu+Hz+2GztiyMWSxmcapV1/ecgFbv9GLVxmrU1HtQmJO4ggYUxN78bKWMH7L7cHGQxRIIhtxmDR4fHFYLCvPSUZibhhy6zRLggFMUpXdTvO8krHzsiSbVN2Mx2+0omrwPPBVaREBRehNDhgzB0088gbvuvhunnnGGhGZuv912ePKxx1BYWCjL/OnSS8WF9vdbb0V9fT0OP+ww7L/ffi1u80+XXIKamhqcd8EFktPs2GOOkXXoDOsQwaAIYb76eqkAHBr8Iees1wNfdQ3Wz52HYHl5+7YXdpGJyFVYEArT5GtY7LJkZoaEsppaeMrKIs41um8NJ5u/Ib57jdMb1nBY23y3Nms4LJT7jXKuUWgryNfQUCXlMAVjg7R7GLou7rvvPrz88sty89l5551x/fXXY/jw+M6D0tJSzJo1C5999pm858PnNddcgwEDBnR43z/99JO8brvttlv4KfoWLAnNnpqtttpKemqU5ESvU2pdp/HjJ2DVZie83gCyM5sLR7ECFkzA1iMLJS9ad1Lb4MGqDdXilmOYZEt5RjrDW5+vxLtfrUFRbhquOm3XuPnUGL6a5rCgKDcdedmOuMUWugL9PqUGfeU6Mdn1unXrxOWQn5+PQYMGtdhuSmW6op3WWhVOgyHHH6dVOJWUw+V0SYJ8VnRMSw8l04+H2+/HxoYGjBg+HGmOnnOy9zkCAQT8/ihxzIeAr/E9EGz1mq3dtBkNTz/XRECj2B9xf4loVRASr2Qo2GKxytfghKc8LK6VNRXXvNXVHQ9zp6iXnyfH2BgW2iiyWcJFIBSFMCw5c8QIEX57kqRzoD3wwAN48cUXRRTr378/7rjjDpxzzjl44403IrHp0fzpT3+C3+/Hk08+Ke9vvPFGXHDBBXjllVd64OgVRVESQ53TK8IYq1i2BUMUKSQxjDM/p/saG1W1bnGeeTwBFOakwZRA8ayyxoUPv1kn41P2GRVXPGP/j88fwODiXAkbVZS+BJ2qTz31FF577TXpTIzuD+V3kc6Kww8/HKeffrqEESW6E/Pee++VZeNxzDHHSDuOvP3227Ls2rVrpercFVdcgX333RfJAh/Qhs44Vh7kNrw6v4kTjQ+jg6ZNxZBjp4dyoCmKonQAOshCwpivmYsMgY6HWRKTxQqzxQKzg87YScjIzBLBiQKZNSsroW2xWJjrzJoxFBlDhzabF/B6xaXbKK7xtSxUpKC8IiwKxkDHW0WlDHVLlzXfX1bos0UcbFHimjU7u0s/q6KkhIDm8XjwxBNPSONq8uTJMu2uu+7CPvvsg3fffRdHHnlkk+XZuFu0aBEefPBBbL311jLt3HPPFQGtsrJSemEVRVFSBT4A8z7IBLWsrMnwxPaEITJkkm0I5h/rLgGNhQJWbaxBMAAU5CZ+n298thJefwCjB+di29HxH/5dHr+Ih/FCOxWlt8JOQ3Y2Pvrooxg4cKCIVXRkDR48WFx21dXV2LRpk+RTXLBgAZ555hmcccYZuOiiiyS5daI6Mc8++2yceOKJTabNmTMHDz30kOyPLFy4UNp0V199Nfbcc0+Zf+GFF2LevHmSSyhZoFA25JhpMpR+9DHcpWXyoMawzaDHK+JZ3Ic/RVH6NsFgjDjWfhdZi5jMMFktMFmt4hijYBYaD02TBp/bDUtdHYom7Q2HpeVCU92J2WZDWv/+MsQtbFBd3VRci3KysTJoPHx1dTI0rFrdfH/RbrvYwgb5+TAlyXlReh9JJaD9/vvvElvOMEyDnJwcEccolMUKaIxHZ2ORDbHddttNps2fP196OHNzc7v9+BVFUbYEr9eLu+++W8YPnno6MjOz2r0uQxcra10Y5M2Co5WqnYmgtNKJ1ZtqJFwzNzvx4hWLEXy7uIRRqTh68ugWexhZuKA4P6PLP6+iJBPHHXecCGfPPfcctttuu7jLUFA7+OCDRbj66quv8Nhjj8l6bCMlqhMzMzNTBoM1a9bg4Ycfln1OmDBBplHk43Gceuqp8v6qq67Cd999h6effho33XQTkgkjVKh48r7wVFbCkp4uboqg19vTh6YoShK4yBqdZI2usi1xkRkimTjK+CqDpVcKPywiQFGLA8aOaTbfV98QcatFnGthcU1CQ+NAt7Br40YZmhHeX6O4FqoWary3aKiy0lsENPaYEjYMo+nXrx82xvlyUEC75ZZbpBG2yy67yENWcXGxNCpZRaWzDhDmTFHajzPca2C8KsmJXqfkhw+wBtV1TmRlpMHlamfjLBhETY0Lm8uqkZfVXNSyJiChPu+PJZVOrC2ph91qluqgLpdri7cbu49XPlwq4zuNL0JxTvx90J3ncrnhsKb1yD1bv0+pQbJdp0TkYaPAtddee7V7eXYwcvj0008T2okZyz/+8Q+MHTsWJ5xwQiQc9NtvvxVBLZrdd99dBLlkJeB2w7l+IxxFPZtjRVGUnnKRhUIst8xFZgoLYgy3NMSxGBeZEsGamQFr5jBkDB/W7KwEPAwNDQlrTcQ1IzQ0XsXRQCA8vxxY3Hw2wz8j4pqEhzaKa10dBqukPkkloBkN3NgwAQplDEmI96C1ePFi7Ljjjpg5c6aENbC3lOEBs2fPRlZW+90b0Q4QJhxWOs6qVav0tKUAep2SF97TDjvsMGyu8qC8vBw+V/xet5aoc/qxedOGuO2y7HQz8rNtsFlCMyk6MTfRm2++KftitSk+IDNnUryHfKcngKp6H6rr/HDYTXDYzChF4lm20YU1m+tgtZgwYWAQK1eFqnDG4vYG2D6CI1CGTeHP1BPo9yk1SJbrxJxiW0pHxLNoJk2alNBOzNjk/gwXpbPM6MBkmg3eZ2KLOrVnez3Z0el1OuH2uBB0JrZzQFG6G5fb3eS1JTyBgHyvGGbX4UqRKYDIX/4Agv6oEEt/o5Ossy4ymMMOMqslLJIZ763igGqpZSL5Krewhp9cq2AQbpcbwU6aRlKK3Dw4OMSE/vM8+KqrRUjzVlREvZbDW14hHSLx8NXWylC/clXc0FBbYQFsBaG8chy3F4ReWcW0NzoEUwUPQ5edzharwXZXR2dSCWhpYfs8XRjGOHG73VIGOBY++L3wwgv44IMPImIZc2/sv//+mDt3biQHR0dgfpAxY5pbS5XWhU8+nDB0Nt51UpIDvU6pQXVNHVaVLsWIoQOQl9MYHtUeAoEgPD5/s87SQDAU7mjNsGFAUSY2r18pLhE+xLKXjY2wDRs24Mcff5Sk5Ly3jh8/PlLMoKzKCWeNG9m2IAYNssHeRSGTXl8AL336g4zvt9NgbDNhcIvLVtS6pDrniIE56An0+5Qa9IXrxOT8bCex7cLOxn//+9/y3aYYP23atC7rxIyG943tt9++iXvNcI7G2x6Pt7N0dUdnsL4e/g0bYa7qWAeGoiQr/H1vFYsFtuIieLze1HXeUJBiqKU/IK8iivHVeN8ZFxklMIoldPDz1cxxhliG34fPFbfcRILrhnyJvFbMl7tu46bw5+vj8JoUF4UGYxLzCFNgrKmRATW1kfFgTS17klsMDXVv3CRDM8wmICsbppwcmHKyYcrlaw7A8ewcmGxJJa30OoK1NTB73DBlZ/doR2dSXWWj17OkpATDhjVaOPneyKcRDRPkjhw5sonTjLnPOK2zvc384ejNpe67Ej6c6LlLfvQ6JTespkkhKTc7o0lHQntp6e6VxxDPeg+WrCnHSVOOQllZiUw3KvcZr7zfHnXUUfjmu5/g9FlQXu2CzxdAfm7X51b75KvVqKrzSOXRg3cb0aJQx/BNmyuIgcV5yMjo2RLn+n1KDXrrdfr444+lcNJpp50m+cVuuOEGvPPOOxg3bhyuueYaEZtmzJjRJZ2YBnSDMSST1TpjhTJje9G0tb2e7uj00jlntcKeryGcSmpD5xnFs0GDBiGtlZxPdKCV+32w22xwxAjeyYK0UOi6ig6zTLCLLJSLrDEvGUWZZJUT2WazWq3oP2QI7H3BgdYFUChj9U9xqzVxr1XAW1kpf2/NVwrSXh0S4RA/NDTkXisIu9cKI+41S0ZG6grUSYKnshIZw4bBVtCzhSKTSkCjSEYx7Msvv4wIaAwB+PXXXyMJaGMFt7feeksaY0ZDjT2o69atw5QpU7r9+BVFUbYEhqF/+sknqCyvQnDCqISeTCb8pzD1xtznsHnzxlaPgQ3uex58AlOPORnZGQ44slpueCcKinsLFq2V8aMmjWzV5eZy+5DusCAro/WKgorS22HVTIZmMnVFbW2tCFmsRn7ppZdKSgtW4GyvgNbRTkyDTz75RPKdsVhANHl5FLgzZP1o+D42rDOZOjopOvrtaXCk96w4ryiJguJZWit/zya/H6YGvyR659BjMIw0poplSCQL5yLrVNhjVC4yQyiLep+qucjkWplMcKQ5kqYKZ8rB70RuDjByeLNZzKvmqayK5FtjcYNQ9dAyeaX41lpoqDNe1dC0tCYVQ0PjRZKDzZaX27PfvRTB1MB7WTocPdwhmlQCGm3+FMruvPNOFBQUSEl2llBnQ4sNMz7YVVRUIDs7W3pHGZrw+OOP449//KM0FglDF7gdlnVXFEVJJWrrXVj86/cyHgh2TR6S1+a9FAnbbAnOf3v+Szj77JnoLt76fCXcXj+G9c/GjuP7tbpsg9uHAQUZsFm10aj0bZj4/8EHH5TOR3Yosp106KGHyry9994bTz75ZJd1YkZHA0ycOFEKDsTeR3baaSepAhot4nH7icgF1xX43W6UfvQJ6pavkAcaeeC22WC2Ga+hQR6++RqeFxkX54relxSl9YqWjVUsjbxkMs3fydBHs6VJFcvGcf0+Kp2D93EKXBxigwXZfvbV1sFTHhbXypqKa766urjbDLhccK5bL0O8/dGxRmGtWWGDwgL5jVGSh6QS0Mgll1wiMd3XXXed5M/YddddRSSjKEZn2YEHHohZs2aJQMZEtMyBRpGN+c6YuJbVOFlAILYhpyiKkuw43X4MHrEVPO56mExd0xNVVlrSqnhGOL+ivCtKBMRnfUkdvvollGti2uTR4pZrCYZv0jef2w2uOEVJdui+Z5vJcIKxGIjhFisrK+tQW6ijnZjRIh5DRuNx1llniSOOlTz33XdfyU/L/GWsoJ6MbHjtDax57oUt24jZ3FRos8cIbpHx8KvVEOZixLrw9MhyMeJdrKgnSctT1E2j9CLERRZVxdIfFsqMUMtOdQ5Gu8gaHWSp7iJTUhPeZ2052TJkjhzZbL7f5ZIwUENQC4lsZaGqoJVVcUNDKSy7S0pliLND2HJzIm61aBebVA3thekpkp2kE9AsFouUaOcQy5AhQ6TqZjSjR4+WwgGKoiipDAsAVNV5sfX2e6C8dL3cC7uCouJ+WLd2dZsOtMLi1l1giYLHMe/j5ZJLYsdxxRg5KLfV5Z1uH9IkfDM587QoSndCJ9cTTzwhSf5ZVddw3//888+47777xAHWVZ2YBhTqWEAgHgwvvfXWWyXUlCGlzF3GNhvbbsmIozABec8CAan81lL1ty7DZOqcMMf39rB7LmZd4330urGuOzonVLjrgy4yDt6mIZYhF1knE/ZHXGRNQyzVRaakGpa0NKQPHiRD3NDQisqm4lp543jQ622+wWAQ3qpqGeqXLW++v4x02AtDbrVYcc3GYgcaGtr7BTRFUZS+CMMSa51epDu69rY8/dgT8d03X7Upah1z3EnoDn5eUY5l66pgtZhw1KS2875RQBtYlAmbVXNFKAoLBZx33nm4/PLLRZw6//zz5aRwGhP1c3pXdmISho62BtNtdKQaaE/S74D94ejfD1Xf/wRLRlpIIPB65aGGr+KkkfHwqy80velyFBLCy0ctx2W6lGAwlJfH42laEbCrMYXcQa0LbS0IcxRI7C2Iek0cdhRSYpexqnDXlS4yf5SLzMhHpi4yRdny0NDiIhmaf+2C8NXURtxqodDQxjBRf3193G36G5xwNqyFc+3a5vuzWWEviBbWGB4aEtckNJQOTqXD6FlTFEVJAmrq3PD7A8hI61phaOr0Gbjv7ttRXlYqIVnxHqALi4oxZdpx6Gp8/gBe+2SFjO+30xAU5LSetJvnh+RmavimopChQ4fizTffRHl5OYqKGhvk999/v4RN0jmmdIyMIUPgd7rhKEpsFU4+HIkIES24xQptUeKbsYyIb56QeBdv3chyTcS60PvQcp1Nvt7uDyb783NA9yJiWqxYFyO+NYp1jcs1DaWNI+pFpsVul6+WlHd08G+RD+Pu8gp5QG+oq4d//FgJO5P5KewiYzGVO//1L7z3/vtSEGTiVlvhsj//GdtMnCif+4mnnsKr8+Zh7bp1EgK/80474dqrr5YOAvLxJ5/g3vvvx/IVK5CRno5999kHV115JXJzcnDM8cdjqwkTcMtNN0X298mnn+LCSy7BRwsWID+/ZysDKr0gNDQ3RwaMHhU3NDTauWbkXWOBAy9DQ+Pc5/n74N68WYY4O4QtL69RXJPw0HAOtqJCWLagWnZvRwU0RVGUHsYfCKKixgWrKYi5Lzws04YOOZu1sxK+r8zMLDwzez5OP+lolGzeFCkoYLxSPON8LtfVfPrDBpRVOZGdYcOBuzZW/WuJOqdXls3OVFFAUQz43Y0Wz8gOO+ygJygJr5MhzHQnItxJuF2UWNfMORcl1jUR43wIeOKIdbHLtSDqdalwF3449NPZ53SiOxFBKJ4wF3HiRRWVCIfHxstj1xgiG5sfr7nbTl47INzx2lEcC6xdh8rNJQjU1IQeuMPVBKNDjE2FhcgYMRwBjxvBVoWuVnKRcb0eFhb5t/5/F14Im82GB+69V/I1zn/tNZxy+umY/dxzWPT113j0sccw65ZbJG/j+vXr8bcbb8Rtd96Je//9b1RWVuKSP/0JV11+ueRs3Lx5M67+y19w5z//ib/feCOmH3007rnvPvz1L3+J5IF87fXXsf/kySqeKd0SGsoOHg5xv+8VlRHHWui7HhbbysvjO6AZGlpZKQOWLmu+v8yMkKAWk3fNwbxrDA3tw7kHVUBTFEXpYeoaPKh3epGVwPDN+vo6vPbqy3h17otSOIC5zxi+SQfa6DHj8M6Hi/D6vDl4Zc5slJeWSM4zhm3SedYd4hk/7ztfhsp8H7HXSKTZrW02jKVK54AcWMx990dbUVgkoL0NVy7HKppKHxfuGKZjtXaro0DybDIfXFi4a3TOGY65WLEuznJR4l0TUS8qrLZxucbtxkvSndDPZoQ0Ol3oTiTfXBvCHI8r1pESx3vSLhfZoorFeGXlB3D63d3+sJxmdeD4rY7A7oPb3xmw8Msv8d333+PTDz+UQijkT5deKtOee/55HHzQQbj15pux/377ybzBgwbhsEMOwdv//a+837R5MzweDwYOHCjzONx/770Rt/6Uo47CP++6Cwvefx9HHnEE6urqsOCDD/CvO+7oknOgKO2F39m0fsUyxBIMBOCtqW0U1yQ8tNHJ5m9oiLtNf30DGurXoGH1mmbzTDZbuFJojLjGaYUFvb4atQpoiqIoPUxNvUceNuwOO4465nSsXrsGFkvnb8/Lly1p5jBj4QDmPmP4Jh1mFNFOPOVMGXqC/y5cJfnMBhVlYretB7S5fIPLh4w0K3Kz1H2m9G0uvPDCPt3zq6QG8jdqsUhaADonupNI/q4Y8S56WjzxrXmuu+bhsM2WC4fXcloo9LFrP5d8ti3ZiNkMe0GBhCiHEo8XwNy/P2pzcpDWvz/SokTWt39aiA0N3VeRO5bXl73fIQHt199+k9eDDz+8yXSGcrrdbty633744ccfJURzzZo1WL5yJZYtW4Z+/UJFkxieeeThh+OCiy+W6sN77bknJu+zT0Rwy8vNlfH5r78uAtp///c/ZGVlYdLeeyf0cytKIqFz1Z6XK0PWmOYFfHwNTnjKo5xrUeKat7q6hdBQL1ybNsnQfIcm2PPzmzjWogsbWBypn4ZFBTRFUZQexOsLSPhmusMmDxyOtHTYbPZOPyDTeUbxjDnOiFFt03jldM6nA607nGbx2FxRj89/3CDj0yaPhrkdjrIGtxdD+2XDbuvdvVqK0hYXX3yxniRFaQW6H6SSdTc/qNHp0eiEixHhWnDONRPrYnPdRS8fpzBFJM9dbOhVYSEseXmoN5vRb9RIZA4aKFVmmfMoNhTU7fejji6UmOlTxh6Al357Cy5fN1eUDTvQpow5oEPrsJ1DQevlF19sNo/5IB9/4gnc9+CDEorJCsOnnnwyFnz4Id56++3Icnfcdhsu+L//k9xmny9ciMuvugo77bADnnz8cZl/zLRpIrCVlZfj9TffxNSjjoJVE7ErKYw1Ix3WjKHIGDq02TzeXzwVFXCXhgsahEPA3VLooCJ+p0EwKOtwqFuytPn+srKaCGqR6qGFRbBmZ6VEB6EKaIqiKD0cvul0+dpMoN9eGLZJ51lLMBSB8xm+2VPus/kfr0AgCGwzqhBjh7addJehm3arBfkJOkeK0ptwuVxSHZMuC0MoDwQCcDqd+PrrrztciVNRlM5BYcpkt8PczcU7QsIdXXdeOQbD8edyurBi5UrkjRyJtPSO/37S/dURB1hPM3bMGAmrZBgmxw3+dsMNGD9+PB569FFceP75mHk2c8yGYFEB4775ww8/4O3//Q9XX3klRo4cidNPO01EsquuuUYKtRQWFmLvvfZCcVER5sydi2+/+w5/vfbaHvmsitIdMDRcnKn9+8cPDa2qDotq0Q62UP61lkLcfXV1MjSsWt18f3Z7U3Etkn+tCPb8PCQLKqApiqL0IFV1bublFRcWxa3ff/4WFVWVGD607aT68WDOMyNssyU4n7nPekJA+311BX5bVSGfd8o+zasMxaPO6UFhbjoy07s3+baiJDsLFy7EpZdeipqamrjzMzMzVUBTlD4h3Jlhtvft30iGUjJH5J+vuEIqazKX2Usvv4xX5s3Dow89JGGZn33+OfabPBkWsxmvvfEG3l2wQIQxkpmVhRdefFGKEBx37LFwu1ziThs+fHikSIDZbMbRU6fikccew8Stt8aY0c1D4hSlz4SGFuTLgLGNgnWk0m9DQ1hUiy5sEHrvrY7fZgl4PHBt2ChDM8xmOIqLMOKsM+HYc3f0JCqgKYqi9BB0VlXVupGZZov05vzy4yIZD+yxb6e2yYIBrYlnsp9gUAoH9ES10fkfL5fxSdsPQr/8jLbX8Qck/UJRrpbTVpRY/v3vfyMvLw8333wzXnvtNXm4O+aYY/Dxxx9j9uzZePTRR/WkKYrSJ2DY7uMPP4w7/vUvXHblleLCHTVyJO6+6y7succeuO2WW/D3W2/F8SedhMyMDGy33Xa4/q9/xU033ywVOSmG3XPXXXjgoYdESOP2dt9tNzz8wANybzWYdvTRePjRRzF92rQe/byKkqyYTCZYMzNlyBw+LK5Q5i6viClsEBLXWE00bmhoIAD35hKUvLcARSqgKYqi9E1q6z1weXwRcchkNmHE6Amora2FydS5cvCstsmCAW050Fh1s7tZ+PNGbCpvkGIAh+4+vF3r1Dm9yM6wITtTiwcoSiwM3fz73/+Ogw8+WEKXXnjhBUyePFkGhnQ++OCDeOSRR/TEKYrSJ6BT7Na//z3uvK233hqzn3uu2fQTZsyIjNOdxqE1SktKkJ6WhiMOOywBR6wofQ+z3Y70gQNkiIVmAk9lVUzOtZC4xhyRxfu1/v3sDtSBpiiK0kOweICVoRfhhJmsvLnz7pOxctXKUALkTjD92BOl2mZrUFw75riT0J2w4uZ/v1gl44fuMQIZYdddW8dJl96wATmwtKPQgKL0NZjrjGFJhDl7WFHO4NBDD8VVV13Vg0enKIrSe2A+uSVLl4r7jC607Ozsnj4kRemVoaGOwgIZYr9hdK1ljhiBnqZzFgdFURRli2hwecWB1h4hqSNMnT4D/foPaFGA43TOnzLtOHQn7361WtxkDNvce9uB7VqnweUTt1pulrrPFCUew4YNExcaYZ4ehiwtXx4Kk/b5fKivr9cTpyiKkgBWrVqFa6+7Dnk5ObhUqyErSp9FBTRFUZQeoK7BC4/XD4e9c06zlsjMzMIzs+ejsKhY3hvuNuOV0zmfy3UXZdVOfPz9ehmfuu8oWCzt++lpcHslvNVuS+w5UpTewpQpU3DnnXfi2WefldClbbbZRvKhvf/++7j//vsxJqoSnaIoitJ5Dth/f3zz1Vd48vHHkZOTo6dSUfooGsKpKIrSzQQCQZRXO5sJQz6vF/P+8ziCwQCGDmGFzI6XnSejx4zDOx8uwuvz5ki1TRYMYM4zhm3Sedad4hl5/ZMV8PuDGDcsH1uPKGjXOm6PH3arBfk5nTsHitIXmDlzJiorK/Hjjz/K++uvvx7nnHMOLrjgAmRlZUkONEVRFEVRFCUxqICmKIrSE+GbTI6f3jw00e/3JWQfFMlOPOVMGXqS5euq8OOyMtAAN23f0REnXFvUuTwozE1HZnpiQ1wVpTfBynDRec623XZbvPfee1ixYgVGjRolIpqiKIqiKIqSGFRAUxRF6WZq6j3w+wOwWZuGMlqsVhw29WSsXbdWCgqkOoFgEPM+DuVj2mObgRhYlNmu9XhuiFGdVFGU9kPRbLvtttNTpihKuzC6tVqr3q0kF8a10vJKitL9pP4TmqIoSgrh8vhQUtmAdEdzZxXdWZlZ2XCkpbfbqZXMfP3bZqwrqUOa3YLD92x/1RwWG8jOsCM7U4sHKEosW221Ff7zn/+ISDZhwoRW7xWc9+uvv+pJVBSlRSy8hwSDUoQkPU3TJqQCvFa8ZhazpjNXlO5GBTRFUZRupLTSiQa3D8W93F3l9vrx1mcrZfyg3YaJINZe1xrXHTYgBxZz6ouIipJoLrzwQvTv31/GL7roIj3BiqJsERRhsqxWlJaVyfv09N7RiddbnWcUz3iteM1E/FQUpVtRAU1RFKWbqHd6UVLRILnP4jVOAwE/lv7+IyoqKjB82LBWt/X7qgq889VqnHjwePTLz0Cy8f7Xa1Fd70FBThom7zCk3es5XT5kpFmRm6XuM0WJR7RoNmTIEOyxxx4YMGCAnixFUTpNYXo6bU0oKSmhdVXPZDITDIp4JtdMUZRuRwU0RVGUbuo13FzRAI/Pj9wsR9xlAv4Afvz2Cxnfebe9W3Vpzf1wGcqqnPjip404et/RSCaqat344Ju1Mj5ln1GwxuR6a40GtxfD+mc3q1CqKEpzZs2ahVtuuUUFNEVRtgh26hVlZCA/GIQ/EIBmQ0tOTGHHoDrPFKXnUAFNURSlmwoHUPDKzYwvnhkN2KHDx6Cuvq7V8InFqypkW2TVxhokG298tgJeXwCjBudi+zFF7V7P7fHDbrUgL1tzsChKeygsLERNTfLdAxRFSU0ozFgs2oGlKIrSEiqgKYqidAN0n7FLtzVnFatw7rb3gVi5amWrVTg//n59ZHxdSS18/gCsluRIJLt6Uw2++b1ExumM60gelVqnB0V56chMb15gQVGU5hx//PG46aab8OWXX2Ls2LEoKmouWE+bNk1PnaIoiqIoSgJQAU1RFKWL8Xj9kv+Mub22FOZQ+311pdj4bTYzPN4ANpTWSdL9ZAhTnf/xchnfZav+EorZXigCUmsr6uXFFRQlkfzjH/+Q1/nz58edTwFbBTRFURRFUZTEoAKaoihKF8OqkhTRMtK23Fn16Y8b5HXrUYUIBIL4bVUFVm2qTQoB7fulpVi5oQZ2qxlH7j2yQ+tSYMzJsCM7U4sHKEp7WbBggZ4sRVEURVGUbiI5Yn4URVF6Mczt5Q8GYTG3Hs7o83rx+tyn8eNXH8Dn8zab73L78NUvm2R8nx0GY8TAkGi2OgnyoDHn2RufrpTx/XcZirwWCiW0VBSBxRWK8jLaPEeKojSyaNEiZGRkYPDgwc0Gu92Ot956S0+XoiiKoihKglABTVEUpYtxun0wtzMXmMftiiueka9+3SRutv4FGRg3NA/DwwJaMhQS+Oi7daiocSE3y479dx7aoXWdLh/SHVbkZav7TFE6wjXXXIO1a0MVb2P57bffcM899+gJVRRFURRFSRAawqkoitLF1DV4pLpkW7CIwMFHzMC6DeubFRFguKZRPGCf7QdLbiPmGKMsR+Gqtt7TY+GP3Pd7i9bI+JF7j4KjlUIJ8Whwe+Wz2NpxjhSlr3Peeedh2bJlkbyDF154objNYikvL8ewYcM6tO1AIID77rsPL7/8slT33HnnnXH99ddj+PDhcZf3er0i0s2bNw+1tbXYZpttcO2112KrrbaKLHPAAQdg/frGwidkypQpuPPOOzt0bIqiKIqiKD2NCmiKoihdCHOfuTx+yQvWFhTFcvIKkF5V3ax65c8rylFe7ZJCBLts3V+m0bXVvzADm8obpPrlNqObV+DrDt76YpWEqQ7tn42dJ/Tr0Lpcj+Jifk5alx2fovQ2AY0CF3n11Vex9dZbo6CgoMkyZrMZOTk5OOaYYzq07QceeAAvvvgiZs2ahf79++OOO+7AOeecgzfeeCOuSHfDDTfg/fffl+WHDh2Ku+66S5Z/++23kZ2djbq6OmzYsAEPP/wwJk6cGFkvLU2/74qiKIqipB4qoCmKonRDAYGg341XX56DV+e+iLLSEhQV98P0Y0/E1OkzkJmZ1eZ23vliCVb/+D/Urv4Mhz9XE1l/QN4O2FSOHhPQWAH0y182yvi0fUe3O1TVoNbpQXFeRkIKLChKX2CnnXaSweCCCy4Q8WpL8Xg8eOKJJ3DFFVdg8uTJMo2C2D777IN3330XRx55ZJPlGTo6Z84cEcf2228/mXbrrbdK1c+ff/4Ze+65J5YsWSIuOR4vBT1FURRFUZRURgU0RVGULoQOqxUrluKP556Aks2bxFnGB8p1a1fju2++wn13345nZs/H6DHjEAj4sXLZbygrL8PwqNCrTxd+i6duPQ3u+opm6+cX9MP2U/+GVRvzuv068jjmfbwcwSCw/dhijBqc26H1ff4AqLcV5qobRVE6A51fieL3339HfX099thjj8g0il50uLFYQayA9umnn8r8fffdt8nydKQZLF68GMXFxSqeKYqiKIrSK9AiAoqiKF1IWUUVLpl5AsrLSiOiU/Qrp59+0tGor69DwB/At199jDXLf5VcRITTLznnBHgaquKuX1Ndji9e/htWrN0sedK6k19WlmPp2ipYLCZMmTSyw+vXO73IybD3WO42RVEa2bQpVOF34MCBTU5Lv379sHFjyGUazapVq8T59s4770io6N577y3hm8uXL48sQwcaq4RefPHFmDRpEqZOnYqnnnoqcn9TFEVRFEXpUw40NoLcbjfS09MTc0SKoii9iBdnv4Cy0tCDaTz8fr84016fNwczTjgVA4eMQENDfSQH2osvvoDa6rJW1/fXV2DlTx9iU/leGFTcdjhoIqB77LVPVsj45B2HoDC3Y78BgWAQHp8fw/JyYDF3LOxTUZTE43Q65TU215nD4UB1dXWz5ZnfbM2aNZI37corrxSX2YMPPoiTTz4Zb731FgoLC7F06VIpLnDEEUfgoosuwtdffy3FA7i9Sy+9tFPHyc6DhoYGdBVepxNujwtBp6vL9qEo3YHL7W7yqiiKksp43G5YnE74u7ANwE6/hAtoFMvefPNNfPjhh/j2229RUVEhjRk2uEaPHi3Wf/YwTpgwobPHrSiK0itg7jPmPDPCLluC81+ZMxsnnnIm9tr3UKxctTJShfPFF57nEnxsbGVPJqz75QOs2nRRtwlon/24AaWVTmRl2HDwrh2r9EecLp/kPcvLVveZoiQDRmJ/5kKLTvLfUiepzWYTcYx50tj+Ixxn/jQWN5g5cyaefPJJWT8rK3RfGj9+vISJUmijK43FDjoKK3/+9ttv6CqC9fXwb9gIc1Vz0VBRkpX07CzkDxgAi9kCf8CPyk2b4Kytk3ks5KEoipLqBGtrYPa4YcrO7rJ9sPp4wgQ0l8uFxx57DM8884w0mEaNGiUJYtnDyN7JqqoqrFu3TipDscG04447SiJaviqKovTVAgLlpaWtimeE88tLS5qv7/GjVKa3FZoZhLuhCqs31mKvbdHl1Lu8eGfhahk/fM8RSHN03Mzc4PZiWP9s2KyWLjhCRekb8MGYOcYoZsVC4eqXX35pUnCgNYzQzZKSEgyLysHI9/E6RQcMGACr1RoRzwiFN4Z1sj1IeFyxxzZu3DhxkNGFlp+fj47C7Y0ZMwZdhbemBg1WK+z5TSubKkoyYrbZkFFUCIvdjtKPP4W7rAz2oiJM2HcSvC4Xlv74Ewrz8pDmcPT0oSqKomwRnspKZAwbBltBx9sOiaTdTz2HHHKI9ECef/75mDJlCoqKilp8EFy4cCFeeeUVnH766fjb3/6GGTNmJPKYFUVRUgIKYPmFRdiwfk2bDrTC4n7Npn/56ybY03NRX7W5VRGN6zsy8rBqYw26g/8tXI0Gtw8DizKxx8Sm+ZLae17sVgvyc7R4gKJsCQceeCD+85//YLvttms278cffxQX2A8//NCubVEko1Psyy+/jAhoNTU1+PXXX3Hqqac2W36XXXaBz+fDTz/9hG233TbS2crqnCw4wBQfBx10kLQB2XY04PJsQ3ZGPDPud+0JsegsdLj57WlwpOv9SUluTFYrHEVFWDf3VWyY9xoCHk9k3qrHn8SgaVMxYdpU1G/cJL+5iqIoqYypwYG09HQ4urANkFAB7ZJLLsH06dNhsVjabNjQmcaB66htWFGUvorT7cMRU4/Hzz980+pyFNeOOe4k+HxevD3/eXkoHTxoCD75bh2GTDwAlRsXt7n+kIn7o6SyAQ0ur4RGdhUlFQ0SvkmO3nc0zJ3IX1br9KA4L6NLj1NReiu33XabuP6N7z5zkMUToxjmmN2BMAem4qBQxhxlBQUFGDx4MO644w5xmh188MGSb5FpO7hNOs0ooO2111646qqrcNNNNyEvLw/33HOPtBOPPvpoCc889NBDJXphxIgRmDhxIr744gt5f+211yb0nChKX8SWnS3i2bqX5jSbRzHNmD7gyMPhC98zFEVRlG4S0I477rgOb5w2fg6Koih9kboGD6YcPQNPPXKXVNvkA2gsfNgsLCrGlGnHicmsoT6Us2TxmkqUVbswZvsDsPmnV9tcf7vdD0W1E1izqRYTRhSIy2v1phqs3FCNepcP44fnY/zQfFitW1Z8ef4ny6Xa59YjCzB+WH6nig+wPkJhrro7FKUzMGSSopnRafnzzz83S/zP+wKFrmuuuaZD22bHJwX86667Ttxku+66Kx5//HHZPsMy6XibNWuWVN0k9957rwhuLBDA5RkuylQfFODIZZddJsUF/vnPf0qVzyFDhoh4dvzxx+vFV5QtwGSzybD+1fmtLkdn2uDp0+C32RD0evWcK4qibCGmYFvJefoQDCsgRiiC0j6Yy4Q93VtttVWXhlUoW4Zep+4vIPDLinLYLGasX7sCp590tFTbNAoKGK/9+g/AM7PnY/SYcRLytGnjOnHufrbchlWb6nDQrkMxob+vzfW/WObHN7+XSF4xVrjcUFqHQMzdPc1uwcRRhdhhbDHGDy+ArYNiGkW9h175UVxnV526C/oVdPz7XlXnRmaaFeOGF6R09U39PqUGvf06HXDAASKm9ZXCTd3RTvNWV6N26XI4ijQHmpK82PLyULHwKyx/8OE2lx11/nko3GM3eNWFpihKCuMur0DmiBFwFPbs73PHMz/HSVK7atUqyZcRW6Xpm2++aVclA0VRlN5YQIAiGsMUKY698+EivD5vjlTbZMEA5jxj2CadZ5mZoQp1DHkqKOyHZeuqsGpTpQhMk7YfjNwsR5vrb6xfLwLams21kWPIz3Zg5KBcEc5+XlGOmnqPLMPBYQuJaduPLcKE4QUiinl9ARk8Pn9k3GuMewN4+4tVst29txvUKfGMwh63V5SXk9LimaIkC++//z5WrlyJl156KeLqWrZsmRR0Ou2008TxpXQQk0lyS7Gh3oygzG6akZJvTKFaybGTjXlRm26cYGoyMTKh+TJNl2fnScwG4y7fOCve8tHbaul4YvbVwraaLaN0D8GgFAxoDx4up34JRVGUnhfQvvvuO0kMSxcEhbQLLrgA5557bmT+Oeecg2+//TYRx6koipJSMITSHwxGhCKKXCeecqYMbfHTqgZ53WFcsYhn7Vl/lwn9sXpTrYhlFM1GDspBfnZjmOSxBwSlyMAPS0vx49IycYJ9u7hEho6Q4bDi0D2GozM4XT4RFPOym4abKYrSOdjG+sMf/oBBgwZFBLS6ujq89dZbePXVVyWcsq+40xKFNTMTWaNGRASH0EtYMjNEiMhbjjSdFlrGWDd2+UBonNM5Hlk8GFo2PC2ivsn08HxjI7QWh/dhLB41EnMcnBV9DE0/R2hWZIWYY42ZFhFgwtuNWT5aRosX2mKKWTt6DVPUtJbCYloWH2MEwxbEx5bFwGj1M2pbrYiHjduK2ldccbL5usb7LRYeWTyohYJusbAqZ7NjUBRFUbpfQGMi26uvvhrTpk3D8uXLJZEse0JvueUWcVJodKiiKH25gIC5gw1WhnD+/vuvqCzbSP8YJu/UfvdImsOKUw5t+UGZxzJqUK4MTP7PXGkU0zhU1rojy/GIGdpps1lCrxwsZthtFthtZuyzw2BkdjL5f4Pbi2EDsmHTamCKkhD+9a9/YbfddpNcZAY77LADFixYIPnMWASAOcyU9mOyWGDLyUnJUxYS4WLEviZCXow8ZQh3MdOaiocyFjWv6bTQPuMsF098bCI8tiHQxWxX3kfEwEDjxwwYomNYnDTGo8RDEftihctAtNgZRwSNiJfNP1tjeoSoY252itsQH+MIj9FbjMZkbCJqYV+DE0X7TsLKx59sUn0zFrPdjuJ9J6F+5SoE3K6YrbbwtknbJVo4bGmF2LfR4mH0ZltoEzWbHn/92H02Pcz2brulY2lhn62049r/eeJPV/emovRBAY1hAhTPjKS2zz33HC699FJptLFRpyiK0pcLCHS0bHzA78cv336CkelAbtEQDO3X/gp6HYFi2oiBOTJM3WcU6hq8sFhMcrx87YpGHR153H60K05RlC3j119/xf3339+siIBRUfOPf/yjnuI+hNy749y/1XvUOs0ExrbEx4hA2Hxae5yLEUEwZlp7hMto1yPFw0HTpsatwmnA+X6fT9xq4oCM3nSjCtnsY0TeGwJlzHLN4pijjz36/EUvGJ2YNWZbTfYbPS96/Wb7jF6lleXifLiYw4xZKf62Wl4+dvUWthXHuRn/O9qolsYKp3ExxNjwck3XiXoTs60W9xl9XIaTM+KyNDWdFn6NtBsNV2h4XsTNGRvy3dK08KuKi0qvFdCysrKwefNm9O/fX96zrDkbcnSizZw5Ux1oiqL0SZj7zCWCUceS9Hu8AdT5Q0UA9txmALoDNlKyM7s+pLLW6UG//AwJ4VQUJTEw9yzbYfGoqKiQapyKorROswf46HlJfvKGzjhWjnvDq/ObONHoPKN4NvCYaWD97vRUdlU2vok/3t51mi7U8jotLddsnSbvWlinhWWaHWc7thVPXG1jn00/VwuiX5xlDAeoCKh0YxqvFDdFrOS08Hu+Dfgbl49sM7wNvzFuuDej5hnvI4pmOFyd+SbDxxOMCfduIvDF+WQJE/0aN9aYLzJqngp/fZctEtD23HNPzJ07V3KfRTZotUpJ87/+9a/46quvEnGMiqIoKVtAoCN8s6QMv9ePRk6GBVuPal9uk1TA5w9Ie6MwV91nipJIJk+ejHvuuQdbb701xo0bF5m+dOlSmb7vvvvqCVeUXgyFsiHHTJOh9KNP4C4thaO4GMWT95G0EIuXL8eoUaOQqrSaS66ldbrucJR2EBHtwmJabGh5E1enESptqGnh8cYQ7vjLRJyY0cJbZF5Y5AuHeofEPyP/ZCAk/PGNsYyEcweabE8cjVH77Ljw19RcGio+0+jyC2V7NIXdgqHx9gh/JqMAV6z4x/9j5qnol6QC2o033gi/n/0aTeEFu/nmm5sIa4qiKH21gEB7CASC+Pi7dTK+7Yj0DudPS2bqnF7kZNiRlaHFAxQlkVx++eU44YQTJJ0GK24WFBSgsrISa9eulfdXXnmlnnBF6eVY0kKdUwMOPRgBnw9ma+jxzt3QIEXeFKVHRM+wAzpVWrMRoS86RDtRwp+RjzG6kEwkFLvR0UcnX0T0ixb5YoXBWNGP6/sTKPolq9sv1QW0r7/+WnKg9evXT3o+BwxoHm7EqlCKoih9jQZXxwsI/LKyHGXVLqQ7LBg3KB29BYajen1+FOXldEhQVBSlbSiYvfbaa3jllVfwzTffoKqqStJqMP/ZMcccg8zMTD2NitKHMMQzRVG2LIekqa+Lfsnm9gsEYbJYk0JM69RdlnnO7rvvvshF4QfJz8/HxIkTsc0228hw4IEHJvpYFUVRkh6GblbUOJFu79jt9aNv18GMALbJWoalPwUxasRQZpZEquN0+SSUNS9b3WeK0lV50E455RQZFEVRFEXpG6Si6Lelwp/huE05AW327Nk47LDDcPXVV0tvJ6tA/fzzz/jll1/w5JNPil34t99+69QBMV6f4tzLL7+Mmpoa7Lzzzrj++usxfPjwuMt7vV7J8zFv3jzU1taKeHfttddiq6226tT+FUVRtoSqWrc40Irz2u8iW7u5FsvXV4M1B4LeOri8vecaNLi9GDYgG7YOViRVFKV9sFjA448/js8//xylpaV47LHH8N5772HChAk46KCD9DQqiqIoipI0mFJU+NsiAa2+vh4nnniihAlwGD9+PKZPny7zmBONoZ2d5YEHHsCLL76IWbNmybbvuOMOnHPOOXjjjTealWknN9xwA95//31ZfujQobjrrrtk+bfffhvZ2dmdPg5FUZSO4vcHUFrVAIfd0iGL8Ufh3Gfbj+2Pfbeego2bNsJitvSKXHB2qwX52T3fW6QovRHmOjvppJOk45Idjr///ru0w1auXCntKQ777bdfTx+moiiKoihKr8DcmZV22GGHFsums2Q6BbXO4PF48MQTT+Diiy+WylLsPaUgxn29++67cRuOc+bMEfGMDcTRo0fj1ltvFaGNjjhFUZTupLreg9p6L7LS7R1yrH23pFTGJ+80FMX9ByE7twAmc6duz0lFrdOD/Jy0DlcjVRSlfdx2220oLCzEggULmqTW+Oc//4kDDjgADz30kJ5KRVEURVGUBNGpJzRW13zqqafg8/mQSNhzSnfbHnvsEZmWk5MjRQoWLVrUbPlPP/1U5keXaed7OtL23HPPhB6boihKa/DBtbTKKYnyO5Is/5Mf1ksFztGDczG0f+9xzfr8AXFnF+aq+0xRuoovvvhC2mRs+8S6Xlmdc+nSpXryFUVRFEVRelJAu/feeyU/GcMGPvnkk4QJaZs2bZLXgQMHNpnOSp8bN25stvyqVaskbPOdd96RalN77723hG8uX748IcejKIrSXmobvKiudSMrw96hEMcvfgrd2/bbaYjkgFy/diWqyktkPJWpc3qRk2FHdgfOh6IoHYfO/5Zc/clQrUpRFEVRFKW30Olax0zYv27dOpx77rkSMsmwTaMCJ4dx48Z1eJtOp1NeY3OdORwOVFdXN1u+rq4Oa9askRwfV155pfTAPvjggzj55JPx1ltvSVhDZ1wkDQ0NHV6vL2NcN+NVSU70OnUt6zfVwOlygXqRv519Cl/8vAlOtw+FOQ6MGpSJhoZ6LPzkHZk3bsJEmFM0jDMQDKKuzoV+eblwuXrnfUG/T6lBsl2njIyMhG5vl112wSOPPIK99tpL2kqEohkFeBZ82mmnnRK6P0VREkMwGGisQscqc+EKc41DgFPkVUb4XkK0o6vXGRXqggiy0y3oDy1rscBsscFPEd3rRMDjQtBuAyxWFdWVVgn4fDBbOy0PKEqfoFPfkGeeeSaSg4wVOI0qnP/973/xwgsvyM25M1U408JlSdlraowTJsdlmfZYbDabCHnMk8b8Z4TjzJ/26quvYubMmR0+Blb17GwF0b4OHYFK8qPXKfG4vQGsLfWAbY6aivaJXmzwfvhthYxPGGzD6tWrEPD7kZmdF3HkmltwliQ7Lk/IPZceLEfpht7tgNHvU2qQLNeJif4TyWWXXSbRAIcccgh23313aX+xIied+KtXr5Y2maIoLdNUlAqJVSJutSFeyfvoaZTAjPUDfkAELa4XGkLvg6FXhLcnQ3g/hqgWGmkijrFEnfyShheX/00mmGQ5U3iaqOdyDxAxzQR43W5YqjbAu9EOV0ZmKLeq1Q6z1Q6TzQGT2QKTxRoS1mTcAphVZOtr+F0u+Vsr/fhTuEtL4SguRvG++8jfkCXqeVxRlBBbJDEzfJLDoYceGpnGh75ffvmlU9szQjdLSkowbNiwyHS+Z0GBWAYMGACr1RoRzwiFNx4T3XGdgaLcmDFjOrVuX4U9+3w4GTFiRFyhU0kO9Dp1HRvL6uGx1qEot/1//7+uqkRNQynSHRYcstcE2G0hsWzIkKHYsHEDBg0cFHGUpBrMBTesfxYGFmWit6Lfp9Sgt18nuv3nzp0rqTW+/PJLCef8/PPPseuuu0qBgc4WdVKUniAkKjUVryJOrVbEq2Zilri3wvMoJoXdWcGAIXJxWtitxemhnTcXy4zp0ftBMOLiCtfsaC5wheebTOEONXnPhUKDKWo8NFjk1Rw9PWq9zoZi+6wuBB2VMDkyRCSjsBd0NSAQrJVzIvKbbNoEUECjeGYxRDYHTDYbTGabCGsU2ERoC4ttSu8g4PFg3dxXsWHeazJusPKxJzBo2lQMnXEszDGRYYrS10m4R5OiFofOQJEsKytLGoGGgMZca3S4nXrqqXFDF5h/7aeffsK2224r01wulzjjjjzyyE4dA3+kEh1i0Vfgw4meu+RHr1Ni8Xj9qHPXIz8nC2kdqDb5+U+hSsZ7bjsIOdnNhSaKZ9FO3FSBed1yskwY2C+vT1Tf1O9TatBbr9O8efOk8BKrbipKl4hZEXdVTIhh7LSIyNTo2gptKCRINQpXXM4XJWYFw2JWaNyoJNtELIsRsyL7CEk/8l8w5n1cMStGmDIcW6FxzueoRaY1EbnCCllEEEsl+FksVphtLXfIhURGCox+BP0BBL118AeqxeEWlHMZDIlmPDciplnpOJBtMlQ05GCzhh1sIVebimyp4TyjeLbupTnxhTVON5kw5Jhp6kRTlCiSKsiZuc8olN15550oKCjA4MGDcccdd4ggd/DBB8Pv96OiogLZ2dnyYEkBjXk/rrrqKtx0003Iy8vDPffcIz2wRx99dE9/HEVR+gBVdW40OL0oymu/u2VtSS2Wr6+G2WzCPtsPRm+i1ulBv/yMPiGeKUpPM2vWLNxyyy2d7rhUem++rGbrxc2XxWn+UNEaI7zQELoizi7ZUlMxKyJyhZ1e4UXCulVkJNo3ZYhZjYJVozDV1GkVnheuZm2OdnE1E76URCChnWb631r+3TbCUvka8HsBrwv+QJUEkIYjSWGiwEahjduiiMYwUasjlFMrLLCJ+MZXyceWgoJkbyIYxPpX57e6yIZX54uApijJQCBJcvT1/BHEcMkll4ir7LrrrhM3GcMQmM+D4hrDMg888EBpMLLqJmHYAgW3iy66SJZnwlzmaKMApyiK0pX4/QGUVjbAbg/1WLeXj74NhZjvOK4YedmNvcK8973/31ck7+OwIUORavj8AXm+KcxNPeecoqQiLJZEp77SPTRL4m44q2LzZUXexxGe4uXLCufI6ol8WU3FrLDTCoYbq2moYSTEMLy+ill9h5AwZmlRZDMciyGhzY+A1wO4nfI+2iUYEc5ERKOLzR4KGbUwVJRCW9jlJuOaj60rYc6zoNfb6jJ0opV+9AkGHHpwlx6LoqRSjr6kE9DoHrviiitkiGXIkCFYvHhxk2kM+bzhhhtkUBRF6U5q6j2obfAgPzu9Q46175aUyvjkHYc0nRkMorIiNC/Sq59C1Dm9yMmwI5ulSBVF6XKOP/54ceAz9cXYsWNRVFTUbJlp09Q90BFYsdBXU4ag3x8VdmiIYZ3MlyWuMVNS58tSlC1B/u4MB1oLyHciHCrK71TA40TAVR9xMpr4nZBo2nBRA6PogTjZ7I2hoZGiB2HBTf/mO+XkoRjRHrhcsjh/lL5FIElz9Ok3QVEUpROwIchk+QwvsYRDTdrD5z9uQCAQxOjBuRjaP7vJPFbd3GvyYdi8eTPMKZakNxAMwuvzozg/R0JTFUXpev7xj3/I6/z58cNw+GCpAlrHCHrd8FZtFndMn8uXpShdiHx/woUIWsJwYEo+NqPogbOx6IFsh8KayRxV9IBhohTa7FGholr0oDUohtHJ0x64nIpnSnfjT+IcfSqgKYqidNJtRTdZVkbHcn0tXl0pr7tvE6o6HI3ZbMbAwcPh8gZkvL3U19fhtVdfxqtzX0RZaQmKivth+rEnYur0GcjMzEJ30ODySd6z3Cx1nylKd7FgwQI92V2CCZaMHD23itLNhMI7QznU2lP0IOD3A95a+BkqKk5PWSKUa40iWzjvmslml4FCW2PF0Sg3W4p1WiaC4n0niZMn2tkTC909xZP36dbjUpRkz9G3RQJabW0tvv/+e1RWVmLy5MnIzc1N3JEpiqIkMbX1HsmBZrdaOpQjbH1ZnYyPHJiYh7Ply5bg9JOORsnmTdK7S2fcurWr8d03X+G+u2/HM7PnY/SYcehqGtxeDB+QDVsHzoeiKFvG3//+d5x++ulSUElRFKUv0PGiBx4pehDKx9aeoge2xlxsIrSFCx/0NlepySRhcPEcPgaDpmtRPqVnKE3iHH2dFtDuv/9+PProo5K4nw9tc+bMEQHtjDPOwN57741zzz03sUeqKIqSJPgDQVTUuJBm69gtdENZPfz+IDLSrHET7bMS2uaN61BTVY5gYHi7nGcUz8rLwnnTwpXRjFdO5/x3PlzUpU40t8cPh9WC/GwtHqAo3cmiRYtw1lln6UlXFEXpbNEDf5yiB6GsbE2LHjBMlOIaRTYjFDWci03cbClW9IBhb8whRSGNTp5oJxqdZxTPhh53TI/kmFL6NoEkz9HXqT09//zzIqCdfPLJ2GeffXDeeedF5u2///545513VEBTFKXX0uDyot7lQ25mxxoVazaFquUN658dt5HFUIRPP3hTxidus32b22PYJp1nLeH3+2X+6/Pm4MRTzkRXUev0oF9+hoRwKorSfbDD8uWXX8YOO+wAh6Oxoq+iKIrSzqIH1vYUPfAj4GY+tlBhEc4LVRc1hUNCY4oeMGQ0XAzByPsWEfWSSGSjOMYQOA508kSqHIbDNlU8U3rk79Ka3Dn6Oi2gnXnmmbjyyivlAS2a4cOHY/Xq1Yk6PkVRlKQM36RbzMrktR1g7eZaeR02oGnxgAgmE3LzCuHxeEJJqdvglTmzI2GbLcH5XK6rBDSGpfJI4znqFEXpWiiavf3223j33XelUnlhYWGz7//TTz/d7u3xvnbfffeJKFdTU4Odd94Z119/vbTt4uH1enHPPfdg3rx5ktZjm222wbXXXoutttoqsgyP795778XatWsxYsQIqbK+7777bsGnVhRFScKiB/7YogehWNGmRQ8o2NmTquiBkYCdYXBabVNJFoqTOEdfp4K52Qii8ywemZmZ0uhSFEXpjbCCZmVtx8M3yepNYQGtf/z8Z1arFQcdcRy22mFPWNroTaFoVlJS0qp4ZixXXlqCriymkJNpR3aGWvwVpbvZtGkTdtxxR2y33XYoKCiQ73v0QEGsIzzwwAN48cUXcfPNN+M///mPPECec845IurH44YbbpAUHszFNnfuXOTl5cnyFNPIwoULRTBjxAJFtkmTJuHCCy/E8uXLE/L5FUVRehKGd1L0ouvMnJYBS0Y2LJl5sGQXwJpdCGt2AczpOTDb0yXXWsDvE4HNW10CT+lauDevhGvjMrg2LINr3RK41i2Ga/0SuDevgqdiI3w1ZfDVVcLfUIuA24mAzxNyxHURWm1TSbYcfa3RUzn6OuVAy87ORllZWdx569evb9YDqiiK0qvCN50+5HRQMHJ5fCipaIiEcCYi71hRUTE2rl/TpgOtsLgfuoJAMAivz4/i/ByYzckTkqAofYVnn302YduiSPbEE0+I4MXCUOSuu+6SDlM63I488shmnakUzx5++GHst99+Mu3WW2/FtGnT8PPPP2PPPfeUXLkHH3wwTj31VJl/1VVX4bvvvhNX3E033ZSwY1cURekdRQ98IpLBEy56wHDRcERCpFqoFD2whSuLMh+bUfTAcLP10qIHSp/CksQ5+joloLFR9Nhjj+HAAw+M5NzgQ5rP58Ps2bOlh1FRFKU3UtvggZ/hm9aONUzWba4TM39+tgPZHcydFo96lxfHHX8yfvz+61aXo7h2zHEnoStocPkk71lulrrPFKUnoaPrq6++EudXfn6+hF6OGjWqQ9v4/fffUV9fjz322CMyLScnB1tvvbUUK4gV0D799FOZHx2Oyffvv/++jNP99u233+Lqq69ust7uu+8ugpyiKIrS2aIHbsDdEHGjUWILMq2buY2iB+EQ0VQseqD0PcxJmqOvUwLaJZdcguOOO04aUwcddJB8+Z577jn89ttv2LBhA/79738n/kgVRVGSIHyT1TcdnQnf3FzTev4z5hPz+fDRe69JdeNhQ4a2fBwMzQoCZ5xxGu6/5w6UlZY0y0dJLBYLCouKMWXacegKGtxeDB+QDZu1e/N1KIrS+FDFHGXMWRbtRGW7bPr06bjlllva/YDEcFAycODAJtP79euHjRs3Nlt+1apVGDp0qBSOeuSRR7B582YR2yiYjR49WtJ5NDQ0YMCAAe3aXnvh5+R2u4qA0wmP2wWfzdVl+1CU7sDtdjd5VXoLVMpCYhgszYseUGALerxAsD7ibDMZVUWN4gnM4WuywmSzRXKyRVxs9vRW874pSncj0TQH7Icg/5bNZnh8vtDfexe0BTIyMtpcplPfDiaTpdNs1qxZ8soPMH/+fOlVvPPOOzFo0KDObFZRFKVXhW/W19dJpcxX576IlavXwWTLRu7U41G/33BkZmY1XyEYRFlJ6MEylHw2Pk5xflkxsF8BXn/jvzji8ENRVropUlDAeKV49szs+fH3tYUwJNVhtSA/W4sHKEpPwWgA5h5jx+bUqVNRXFwsuRHZJnvwwQcxduxYnHXWWe3altPplFd7TI8uIw2qq6ubLV9XV4c1a9ZI3jQWlaL7jPtkvrO33npLCgy0tL0teaDndtlh21WYPPWwVG9EMK35Z1aUVITmBkURwk42EdqCAQkRDVUV5Xgo71TQYkXQlomgPQ1Ba1pIqFOUPsLOO+/c5jKd/kaMGTMGjz/+uOTMqKysRG5uLtLCVTwURVH6evjm8mVLcPpJR6Nkc6OwxV7D5x/+O96d96gIW6PHjGuyjtliwe6TDpIHYHMrVZicbi8GFdP5ZcZOO26LN977Aq/Pm4O3XntZCgYw5xnDNuk86wrxzCge0C8/Q0I4FUXpGZiDbObMmTj//PMj01iNk4n6KTTRmdZeAc1ow7FdF92eo9iVnp7ebHmbzSYho8yTRscZ4Tjzp7366qs49thjI9uLpqXttRful23QriLQUAPPZissWQVdtg9F6Q74XaN4RmODkXJHUVqDQlrQ60HQ6xKxjUUFTOlZMKdlw+xIl5xritLX2WJJmT2L/fv3T8zRKIqi9ILwTTrPKJ6Vl5XK+8bQqtArp3P+Ox8uaiJwmc1mDBk2Gt6AWcbj4fcHRJAz8o5ZzCYMGViII6efgjPPmonuwMdjAFCYq50mitKTMBQyOmdZNIwKYFGA9mKEblLAHzZsWGQ630+YMKHZ8gzNZOVgQzwjFN4Y1rlu3TqpyMlQCK4fDd/HhnV2BN7/2hNi0Vn8QS9MjjRYtVNY6SVQPFOTg9Ju0kP3V6nm7HUj6HUCNXUwMZdaWhYsmTkwOzJETNMcakpfpFPlOb744gu8/fbbkfesyMmy5XvvvbfY+DXWXlGU3kaD24d6lw/pjrYFNIZt0nkWLy8Z4XTOp2uso5SVV+PNeS/g8EP2lwfXvfbaC3NefAYuV4MIW90B3Wc5mXZkd7ASqaIoiWXw4MGS/D8ev/76KwoK2u+iokiWlZWFL7/8MjKNecy4nV122aXZ8pzGvI0//fRTZBrzN7I6J1N98MFqp512kuIG0XD77QmRUBRFUXoO3sPN9jRYMvNgpiPXaoO/oRruzavgWr8E7k0r4KspR8DtbLUavKL0NjrlQLvnnntELDO444478PXXX8u0//3vf9JwYviAoihKb6GuwSMCFcMm24I5zxrDNuPD+a/MmY0TTzkzMo1V65jLrK6mEsHA8LhhoaeeMBVlpZsj21+5ciUWLlyIouL+eOjJOdhu24noSljAwOvzozg/B2azVm9SlJ7kqKOOwr333iuJ+Q8//HBxrvI+whxk999/P0488cQORRSceuqpksuWwhvFObbv6BY7+OCDRfivqKhAdna2uFkooFHAv+qqq3DTTTeJ44ztQxYvOfroo2WbDB8999xzpbgAq3UyXxvzl7G4gaIoipIasM0p4ZvhEM6Az4OAqx7uuiqYrDaY0zJhzcwNOdPsaaFKoIrSS+nUXzcrL7ExRNj7yHLkl19+Oe677z5JZPvmm28m+jgVRVF6NHyzUsI321dtklUx2+qN43zmK2uyH78fH707H0t+XgR/uDR5bFhoZUVZZH3jlUNFeSnOO/NYWa4raZACBrZICKmiKD0H3f/bb789LrvsMmy33XaYNGmSvLJNtu222+LSSy/tVJX16667DieddJKIYcx3S3GN4aLcPsU5A4p3u+22Gy666CJZj4UFnnnmmYjzjcvfeuutUnCKVUEp9j/00ENNwj4VRVGU1IJVOy0ZObDmFMJsT0fA1QB3yRq41i+Fe8MyeKpK4HfVS041ReltdMqBxgYSqy2RX375RSo3HXjggfKeDTcKaYqiKL0pfLPO6UNWevsS5hcV98O6tavbdKAx2X/TiUBmVo50TLQUFtoSdIfQmTb/lZdx8mntSxreGRrcXowYkAObtX1ioqIoXQeFrSeffBIff/yxhEqyWiaLOu26666SzL+jUDC74oorZIiFxQkWL17cZBpDPm+44QYZWmLatGkyKIqiKL0POtAs1lD7OOj3IeBxwl+2Dj6zRcQ1c2YuLGmZoSIErRTIUpReLaAVFhaKC432/c8//1yquxgJYevr6yWprKIoSm+h3umVsEWbtX3Vh6YfeyK++6Zp3p9YKK6xUmY0VqsNh009CStXrZTxzoSFzp0zu0MCGsNSK2tdIfUudGTG1uR/RmlKHgzuG0E4rBbkZWsVJkVJFhjGvWnTJnGdkWXLlkn1Tbq8KHopiqIoSndgslhhSc9uFNO8LgQq1sMHU5SYxqqeGSqmKSlLp5SuffbZR0qVs5HGUuXRPYsrVqyQvBmKoii9AQmPrHa2O3yTTJ0+A/fdfbtU24xXSIAuj8KiYkyZdly7t1nazrBQho8yTxkFr7bw+PyoqnWjX346CvPSWbFcwlW5Pl/5ngIbB77nK8M3OSiK0vN8++23+MMf/iAdmccff3wkSoBhlmyfPfvssxg/fnxPH6aiKIrSF8U0S6jSfDDgR8BDMW0jvEZxgowcEdvEmWbRdqXSy3Og/elPf5JqTS+99BK22mornH/++ZF5b7zxBnbcccdEHqOiKEqPwZxfDN9MTwv1NzDH2OznnsTx0w/FAZN2lFe+j849lpmZhWdmzxeRLERIzDLKfXM653O59pJfUNRmuXDOZzJxCn5tiW0uj0/Es0FFmRgxKBf52WkoyElDUV46+uVnYEBhJgYWZWJo/2yMHJSL0UPyMH54gbxXFCU5+Ne//iU5yCiWGeywww5YsGCBVMC8/fbbe/T4FEVRFIWhmwzjtGQXwJKRyx5f+KpK4Nq4TPKmecrWwV9fjaDPqydL6Z0ONCaHZVLZeDB5LHNyKIqi9AbqnF5xXtmtFqmCyUT+zEVmhFMy1xnDNek4oyg2esw4WY+vL8z/BH+67l9Y9+sHyLS6UFzcT8I26TyLJ575fT589uHbaGhowLChQyPTuZ/DjzoOP33/dZvH+4ezz0JWhh0VtS4U5qTHXabB5ZVcZhTDBhVnwaLVNBUlJfn111+l2mZsu8uoqPnHP/6xx45NURRFUWIxmc0wOTIAR4YUGQh63PDVlMFbVQKzzQFLRjbM4kzLkPeKkmxYE5F7o6qqCvn5+RgxYoQklFUURelN4Zt2qzlSBZNhmca86FdO5/x3PlwUEcdWl7gxfLtDceARx+PC43Zo1/42bVjTZLvE7fFjyrQZePbxe1BSsrnFsND+/fvjzDNOA8x2LF9fLbnN6CyLprbBA68vgOEDcsRl1parTVGU5CU9PR2bN2+OO6+iokLuC4qi9H6CgQBLeUuuUobD6W+7kgqYTBTT0gEH04gEEPR64K0ph6m6DCarHeaMLFjScyVnmoppSsoLaG+//baEBjBxrQELCVx11VU47LDDkKrwodXj8cBma/zx4cMqB7PZ3KRAApcjiV7W6/XKcXAa55FAICCV+bgut5FMy3Iah+iH+taW5Tw26o2GPffD/ZHoXvRELhvvvHdk2Z689on6O+FxRIsyPfF30hPXfkv+TmrrXaipdyM704G5L77QZhVMzn993hyceMqZMu23FSUww48JwwuizrsfAX9A9mOJup4+r1fm7bz7ZJSVl8n5NJatrXdjQP8CvP/+Aql4vHHjxsixG8dL8Yz3ZYfDIZ9jxMAcLF9XhYrqeuRk2GG2WFDT4JVg0hEDs5GXZZPz0VPXPtXvEdHXnd+t3nCP6Ollu+raG9eI342u+DvpyPVMtEOflTbvuecebL311hg3LuR+JUuXLpXp++67b0L3pyh9GWlDUaTy+xAM+PjFlle+bxz3A+FpzPsUmtfCuLGt8LTQvPA2osab7StqPWMcwUDUkZqkMiKsNmTBjKpfMiTnlNlqh8lmF2HCZHXIeNNpHHeEpkWmh5YTMcNqByxWFeeUrhPT+HdqT5PvWtDrhr+uGr7q8tDfX3oWrBk5oQIEtjT9O1RSS0D76KOP8Oc//xljxozBZZddJjl32AP62muvyXT2iHamfHoyQDfdrFmzpJpVZmamTPvss8/wwQcfSG63qVOnRpa98847pVF96aWXIi8vT6YtWrQI//vf/7DtttvimGOOiSx79913S1gW88XxfJHvv/9ecsYxwe+JJ54YWZbhGCxFP3PmzEhBhp9//llynIwaNQqnnXZaZNlHH30UpaWlOOOMM8QBSJYsWYL//Oc/GDp0KM4+++zIsk899RQ2bNiAk046KdLQpoPwueeek4fv//u//4ss+/zzz2P16tU47rjjMHHiRJm2bt06PPnkkxLCe/HFF0eWnT9/vhSP4IMCc7GQkpISPPzww8jOzpa/CQN+BoacHH744ZFl2Ut+3333ycPN1VdfHVmW5+aHH37AQQcdhL333lum1dbWSgELPrD89a9/jSzLc/7111/L391+++0n09xuN2677TYZv+666yIPQ8wN88UXX2DPPffEIYccItP4wMTrTigCp6WFXDuffPKJ/L2z4uyRRx4Z2R+3y3WYDzAnJ0emLVy4EO+99x623377JoU1mKOGx3LRRRdJBVvyzTffiNjBh54ZM2ZElr333nvlM5533nmRyrY//fSTnOOxY8fi5JNPjiz70EMPybk766yzMGzYMJn222+/Yc6cORg+fDjOPDMk4hCGXPM7uvvuu0emsQjI7NmzJfn0OeecE5nOpNNr167FCSecILkOyZo1a/D000+juLgYF1xwQWTZF198Ua799OnTsd1228k0ijuPPfYYcnNzm4QP8bgWL16Mo446CjvvvLNM49/ugw8+iIyMDFxxxRWRZXkv4ec+9NBDsccee8g0fif4PeJD6V/+8pfIskyW/d1332H//fePPCzyu8bvJ7n++usjy/L6fPnll5g0aZIIUYTfYePaX3PNNZEH3A8//BCffvopho3eBvtMPrDdVTBfmTNbBDSP14/0yk+xU04AIwdsHVlmyW8/4psvP8aIUeOx936NnQ3zXn4SbpcTBx8xA0GLA2azBSuW/oYvP1uA4oHD5XoUDpkg55Dfa/4N82+a9wh+/3n++f3id4b3iNwsB4YPzMFTTzyKuppK7LrvURg0eKhM27x+FR68t/vuEcyXyQf6o48+WvIz9YZ7hAG/96xG3VvuEQz7Y/XG3nSP4O8nz2VX3SN4X43uODSWjdeOiN5XIuA+eB3498SKm/zuVVZWyvXh+yuvvDKh+1OU7nJThUSjaAGpUXhqIiIZwlO0qBVH4Gq6XIxYZSwTZ1+xgldqEETQ5wF8Hkl27XfVImFHTpEjSnQzR4tv8UQ5myMy3xwjyIWmhedzmlkds0r4z8xkEjENhpjm8yDQUAN3XYU4LM1pmbBm5kmYJ5dTx6WS9AIaG7N8WHnkkUciPcqEgg8Hzk9VAU1RFCUaczg/WFk7q2CWl5bI+LJ1VZHpxbnxc5G1F+Yoy84IPbQzTH6vvfYS0SpaZP/xxx+brVeYmw6bNXSPTrNbpRAAtxM/4EtRlFSDghnFxFdeeUVEV3YCUuymEMpOPEPAU5R2uanijLfkeGomUMU4r1oUvOJtI0bUkhLQSnPhymJlvgaYzNbQuNkirzJQfOI0XlufR0LhAl43fG4nzMHQuU0IEmbnkoEkVFLk5zEEuChBzhDYzDGCXDMBLrJczDQOUc+rSgqKacyFFs6HFqCY5qqHu74qJKY5MmDNzA2JaazoadJrrXQtpmBbT4RxoIOAPeYHHHBAs3nsuWePKB0hqQZ7s3k62KOebGF8yRx2U1NTI64GOiXoJukN4VnJdO0T9XdSX18vjhJeJ7o5ekt4Vlf9nTB885cVZchMsyM9zS7VNr//dlGbDrQddtoVL736P8z9YCk+/2Etdp84ADMO2iqy3dZDOAMoLy/Bho0bsPVW28KR5kBJZT0GFmRi9LDCTp13/v0xF1pmugNZGeHGRxJc+1S/RzidTrnv0alHZ1xvuEf09LJdce3pNKMDjdeJv0+9LYSzr8F2GqHLv6tgJTjXxuWwZjeG3ncW+b2g4NCKgBQbrtdMhGojdC/WjdXcNRV/G6njpupOTE0EKhPvAfHGw2JVaLmm43wNvQ+JW03G4whe8bYXWjZ6e5ZOiQIul0tc5CNHjoTDbg8Ja2FxTRw9PndkPDLN625czhDiopeTaaFlKGRwekr8LVmsTQW4SFiqI34Ia5Qg16JYZwyaS7bHYNXOgMclf4/83pgd6TBn5knFT4aCqqtRSRoHGhuLRmMyFqNRnKrw2GMbuNEN6WjiNYQTsWz0A0X0OY+3jWRYlg8OHKI/S2vLtuecd+Wy8c57R5bt7mufqL8TTo/+bvbE30lPX/uOLOt0BxAMmkU8I9OPPVGqbbb1sMQqm3z9dWUFArBg69H9Ys67RYZmx2aziYj2/n9fkffjxzPs0wyrxYqC/MxOn3dO61/YdHoyXPvedI9o6by3Z7vJdI/o6WW78npyevQ56qq/E9KRZZXkguJB7c8fw7V+CcwWW0wOqhZC/FpYxsiLxXA6JYZYQckQomJFqBbcVo3rNRWhmgtWMSJUeF/Ry0TPE5dXCj/DtFn5MBwSl2jkuxAR5RoFtriinEwLCXKybPTysmxTQa9pbrctwO9DgN9JdwMSSyjfXGzOuHh55Jrlm4vroAu913xz7Tz7VhsszPfHv0NeY48LgbK18LGtbaeYlhsS0+hO0xBhpScFNPb8MX8JwzSNXFFGr+sTTzwh+V0URVFSuvpmrQs2a+MD79TpM3Df3bdLtc2WqmAWFhVjyrTjUFLpREWNCxaLCWOH5rd/xyYgLT0jsn2n24f0NBuy0tW1oiiK0tVUf/UGKj98oXecaIY9GeKQIUK1Q5BqUYSKFpta3UZb+6JIpSFWvQn5WwlXUrR0RZhxCy64QHtEuYiIF7Wu4ZxLiLgdys8lYl8oqjWx3+GYIg7tKQLRJDddSznoeqGYxPuLJT2LyU5E1A14nAiUb4AvnE/NIs60LHGpyb1IUTpJp/56mByayYeZuJmJc4uKiiTR7zvvvCP5N5hIWFEUJVWhcFXf4EV6WuMtMjMzC8/Mno/TTzpaqm0aBQWMV4pnnM/lFi1eK+uMGZwHh639jRSr1YYjp5+GlatWynidy4tB/bIjecwURVGUrsOa1YEOD4NYN1S8sL5mbqj4YlWrgldboYCx+9WcT0qKI27A8N+5GRkJ3bYkpvd7o0JY47ng2jktRsTjdhN0kF2bb65JEYiQsGbN7YeMcbvA3m9ESrsxeV+kWIa0sEPS44avYiO8JpO4/iwZuSK2SUVPS3OnvKIkXEBjtTE6zf75z39KJTbehBiSwQpbzI220047dWaziqIoSUGd0wu31y+VLKMZPWYc3vlwEV6fN0eqbbJgQGFxPwnbpPOM4hlh+CbZamTnc+j4w3nScjPVfaYoitIdZG9/AGwFA+Fc8xssWfkthP/FOKtS+CFTUfp0YnqrHeCQYILMe+jzNnHBNQltbUWUa1w2Tr45utwSVQxCRCUn/B5nk8meTSvQsHghrHn9kTlhD6SP2VlCIFMZ6XhIywDSMkIVfr0u+KpL4K3aDLMtDZaMbJjTs0VMk9BZRWmDTvsXd9ttN/znP/+RRMpMIp+Tk4P09C2rNKcoitLTsEOgstYNe1T4ZjQUyU485UwZ4uHy+LBifbWMbzWi8wKa0+NHZmY6stK1Z0xRFKW7sBUMgt/tTEgRAUVR+h4MUY6uGplIxE3Van45Q5iLCWGNdclFRLzG5aLzzfmqNqN64XxUL3oT6SO2Reb4PWAfODrlOwwkF6AjA3BkhIROrxvemjKgulScaRTSRFBzZMh7RYnHFgcAb9q0ScI2KaSNGDFiSzenKIrS4+GbdfWeJuGbHWHp2ir4A0EU5aahOK9jnQp+nw8LP3kX9Q31yMzph6ED82CxaPimoigdZ/PmzXj55ZelSuxee+2FiRMn6mlUFEVJdTeVPR3gkGAoprlW/YT63xfCs3llaKLfB+fy72Sw5BQhc/zuyBi7q4hMvULoZKEBe3oopNfrhr+uAv6aUglpNadlwZKZEypAwFxyKS4eKkkgoL399tu4/fbbRUAzGDBgAK666irJi6YoipKK1Dt9cPuah2+2l99WGeGbhR3+seUP+Pq1K2TcbA4iJ1N7vxRF6Rxsn91333245ZZbcM0110ibbcKECXo6FUVRlGbQcZUxdhcZvJWb0bD4SzQsXYRAuHKpv6YMNYveRM3XbyNt+ERxpTkGj+sV+RYlpDdcpVbENJ8H/oZq+OoqJEeaOT0T1ozcUM40W5qKaX2cTgloH330Ef785z9jzJgxuOyyy9CvXz/p6XzttddkOkM5WaFTURQl1aiqc8G2Ba4vI3xz3NC8Dq9rtpixwy57Y+PmUmRlOJCZpuGbiqJ0jq222goLFizA4MGDceihhyIrK5SjUVEURVFaw5bfH7l7TEXOrkfAueonEdPcG5aGZgYD4lTjwFyRGeN2Q+b43aTKZW9AxLSoEFyGvwacdXDXVsJktcGclglrZm7ImWZPVzGtD9IpAe3BBx/E3nvvjUceeUSKBxjMnDlTBs5XAU1RlFTD4/WjrsGLNLu108UHNleEeupGDsrt8PpmswWjx22DGs9SFOVlwGxWu7iiKJ3DbreLeEZUPFOU3o082DuY7D3Idwi465mVtacPS/n/9s4Dzo362v5XvWubve6924BpxqaH3o1pAUJNAV4SSl4SEpKQPwkJ4REgQOiETgLkUQOETh6BUA0Y01wA97K9qtf/51ytZG3f1TZp93zhZ0mjkTQ7ozJz5tx7ChyEpThn7KYj1lQj/jXvS2Dt+5IINuv9cV+9NH/0kjSveFlsE+dq8IB90rxUOvAwQYMFWsIFEA6RCPkl7G9IOdOsdhUOIaoZbRDTCt+NR7onp6PE1atXa9pmtniWVmy/9a1vyU9/+tNcnpYQQoaUQCgm4WhMXDkGomzYlnKfjSl1iivH5v/RWELMJoO4HX1uUUkIGQFs3rxZwuGwVgU0NjbKjTfeKNu3b9d2GsuWLRvqxSOEDCQms5gdHhXQfJ//R0UOs3eUuBfsL06bS6wVlVz/pF/A+6po0dHi3eMICW36QnulhbesSYm2yaSEN6/SYXR6xTV7L3HO2UvMnrJhtfbxOTOZU/v3yXhMEkgyrdmigiF6qRldRZpaqmLaMBIRSWtyOkKDcBaNRju8LxaL0cpICClI/KEI9gHEmGOj0HUtAtr0HNxnAH0XampqxZgIit3KH15CSNe88cYb8oMf/EDOOuss7UH7m9/8Rl5++WWZPXu29j3Dvtopp5zC1UjIcMRkFot3lDS8/ZQ0vveM9m1KU/vKfVK0eKnMWrJUQrU7+lUT0lcgDCGZEyPmq5dAiyst7m/Q+xOBJmn++FUd6JGGXmnomQY323ACf4/J4ckS00KSqNsqMTFkiWnuVN80imnDipx8hjvvvLPcfffdEgq1tgZHIhG59957ZeHChf21fIQQMihAvGpoDovNYu5z/7NpE3IT0JDC+fa/npTVK9/WkxGEENIVt912m+y3337ywx/+UJqbm+WVV16R888/X5566im9fPDBB7kCCRmmwHkG8azhrcdbiWcAtzG96d1nxF40vFxAJH8wu0vUkTbm1F9J2RHfE/uUnaCwZe4Pb10rdf96UCoe+Z00vvesRBuqZDiSEtPcYnKXqgMvkYhLrG67hLZ/JaGtayVSu1XigSYV2kjhk9OR4kUXXSTnnnuuHHrooVoiMGrUKKmurtazng0NDfLAAw/0/5ISQsgAEgzHJBSOi8Nmzrl/2pYqn16fPt6b03OEo3ExqzUcPUwIIaT7lhroO4seZ88//7zE43ENDADoVXvfffdxFRIyDEEpGUbju//ocr6m956Rkr2XSdJs0f5NhAzI+9Fo1N5nGBCKAmuXi3/NexJvrtX7EyGf+D59XYd17HR1pTmm7aLv4eEG3GYo4xS7S5KJhCSjIYk1VEm0oVKMFruYnF51rmkIwTD8+0cCOR0p7rnnnuo0u/766+Vvf/ubOjdQ1rnLLrtob7Tdd9+9/5eUEEIGWECLxOJS5E6l7vSWTZXNEk8kpchllVKvPafniMRElp7ybYk0b9MG4IQQ0hU2my3jVn3zzTelrKxM5s6dq7dramrE681NzCeE5DcIDEDPs2S8a1EMTrTmz9/UnlTxWKrEjpCBBAKRZ9dDxL3wIAlv+0oTPJHkKYm43h+pWKej4Z2nxDlzDw0esJSOG7bCosHmFLE5W8S0sMQaq9WJlxLT3GJ0eLXMU8MKSEGQc63SXnvtJX//+98lGAxKU1OT7qQ5cmy8TQghQ02zP5Jz7zOwvqX/GdI3EajSW3AiIpZISLHHLlWpcCNCCOmSPfbYQ09oIjzghRdekBNPPFGnf/bZZ3LLLbfwhCYhw5akBgb0hLjOR2c7GVyQSGmfMFtHPOSTwJcfSmD1uxJrTJVxJiNB8X/xHx2W0ZNVSHNM31WMltxOZBeGmOYQsTkkmYSYFpFoU60YGmvEYLaK0ekWk6MoJaYN03UwXOhzNz+IZhTOCCGFTDyekEZ/ROzWoet/Fo7ExWY1idthkeHZIYIQ0t8gKOCCCy7Q9HOkcH7/+9/X6ZiGfTOmohMyXDFoKmJPMOl8uZ8gJKSvoJm+Z+cDxb3TARKpXK/lncF1H6P5r94frd4kDdWbtCTZMWM3LfG0jJo4bIMJIS4arHYxWu16Ah3OtLivQeIQ1Mw2MdhdYnYVpdI8LfZhux5GrIBWV1fXLkwAjB8/vq9PTQghg0IA/c8icSl25WafTiSSsmF7U5/6nwVCMSn2WOS1V19SN8msWbNyeh5CyMhh0qRJ8s9//lNqa2u1H22aW2+9VebPn89ScEKGKYmwX9wL9tO0zbYBAtnA2eJZsL/EfHWDunyEdASEINvY6ToSS5ZJ4Gu40t6TaN02vR9CElxqGJay8eKcs0ScM3fXVMvhvE4gpklaTItFNMk07KsTg8kiRhXTilM906wU0wpWQPP5fHL11VfrTls4HO5wnlWrVvV12QghZFCAeBVPJMRkyimYWLbX+lWAg4Ns3Ch3rx+fSCYlnkxIkdsin3/+eWpaIpHTshBChjfvvPOO7L333q12vrPFM7Drrru2e9xbb72lwQJdge8dlH4+9thj2p4DJaJXXHGFTJkypcP5kfZ52WWXtZuOUKn0Yw4++GDZunVrq/uPO+44ue6667r5SwkhnYFAAIyixUs1bbMzvIuXSjwaZoAAyTvgrnLP309c8/aVaM1m8a+GK22FimggWrtNGt9+Upree1Yc0xeqmGYdM3VYu7FUTEP5ZksJZwJiWsgvYV+DBg5AREs505xaDgonGykQAe0Pf/iDPPfcc3LyySfLnDlzeIaTEFLQNPjCYjWZ+tz/bOpYr5iMvf9hD4Vjmv5Z5LbLgQceKFVVVWLqw/IQQoYv1157rYwdO1Z+8IMfyE477dTt/B9++KHcdddd+r3SnYB22223yaOPPqonSceMGaOvdd555+k+X0fBJmvWrNGeuAiQyqa0tDRzwnXbtm1y5513yoIFCzL32+25Ba0QQnYQCzZL8T4naHVm47vPtHKiwXlWtGSpeBYvlVBthVjN3Kcg+SsaWUdP1lG0+Dgt7USJJ8o6AYIyAl9+oMNcPEZccxaLY9aeqaTLYY4GC7SEC0AwT4SDEg40adInBEijq1jXA0pBMY3ksYD273//W37yk5/IOeec0/9LRAghg0g4Ghd/EP3PTH3ufzY9x/5nKCEdV+YUu82qB6Nw8FJAI4R0BNxhELq+9a1vybhx4+TII4/UFPSJEyeK0+lU59j27dvlo48+kjfeeEO2bNmi+2twlnVFJBLRQIJLL71UhXxwww03yP777y+vvPKKHHPMMe0es3btWk39HD16dIfPiftRkoJ0diaCEtLPxGMSbaqRoj2PkeIly8T3+ZsaLIDeaO4F+6vz7MuVH8iEsWNEKKCRAgBCEMIEMOBA8695VwJffSjJSKpdVKyhUhrfe0Yal/9THFN31vms42aMCCcWHGgms0WvJ+MxSURCkqjZLDGIaVaIaUUpMQ3uNIpp+SegoWxz9uzZ/b80hBAyyARCUYlE4uIuyq3/GQ4O12USOL059U9DOhbcZ4QQ0h0Q1y+66CI59dRT5b777pMnn3xSHV7ZZS34XkIv2iOOOELOPfdcdZN1x+rVq8Xv98uSJUsy0yB6oZfa8uXLOxTQ4EDDa3QG7oe4RvGMkAEiHtP+Zji4ds7eqyVt06DTgr5miQQDXPWkIEEPtOJ9TpSivY6T4PqV6kqLVKxL3ZmIq1MNw+QtU1eac9YiMTlz60NcaBhMZjE50DLGLclEXBKRoCRqt0nMYMgS09ypEAJTn1vekzbktEZxZhIlAdk9OAghpBDxB6J6acyxp0J9c1gafRExGg0yZaw3J/eZw2YRt9OiB73Nzc0SDAb1OiGEdEZ5ebn8/Oc/1/H111+r0wzfHyUlJSqeTZs2rVcrr6KiQi/hamv7OnC0dRQiVVNTo+LaQw89JA0NDbJw4UJN/ky/NhxocMVB8FuxYoWWdp544oly9tlni9GYm2MA342BwMCJAolgUCLhkMQs7QOyCMlfQiK+5lZT0n2qO+tXTUihYJy0k3gm7SSxxioJf/WBhNErLZz6HUByZdPy56XpgxfFOnGu2GYtEsvYmWLI8TemMDGLWMwqpiWDAUk21etULe10eNWZZoAzjWJat2Cfpd8ENOwYpUFM+sUXXywul0sOOuggKS4ubjd/R9N6Qm8b2Gbz7LPP6o7ba6+9pqUMhBDS9fdNUhr9YbFZzH3ufzap3C1WS+/LQIPhqEws94jZZNQSqjvuuEOn96S3ESGEgBkzZujoCxDuQdteZzabTZOB2wJxLO2Iu+aaa1TUSpeWYn8MwQZffvmlinpHH320XHjhhfLBBx9oeACe75JLLslpOaPR6IAGVRkifjE1bpekvf3fTEghgj6EhHSF3eWW4tFjxWQ0STwRl4bqCgn5ffm50krniRTPFnPtBrFWrhFzY8v7O5mQyOYvdCRsbomUz5bomDmStA3/XmkdkkyIxKMisQjaJErSZJGkxSlJq0OSZpsIxbQOgfbUHT0+aoSlv215wB//+EcdHZHrzk1vG9imQcLTb3/725xekxAyMglFYhIMx8VpN/e5/9m08b3vfxaPJ9T55nXt+G6DK4PuM0LIYJNu7A8hP7vJP9wrDoejw/3C999/X4qKdnz33XrrrXpiFWWl559/vpaY4vFudyqdGMFTKBO9/fbb1ZWWiwvNYrHIzJkzZaBIBJokUmkWkzsVhEBIoYLPHsQzOFIhhBPSFqPZIvaiMjFarOL7/D8Sb6oRq3eUlO+yn8SjEQk11koilqrUyDtm4HfgUIk310r4qw8l9PWHkgylRD9j2Cf2zR+JfcsKsYyfLfaZe4plwpwR2xssmUxIMhqRZDSkwprRYhYDSjwdnlTPtJagAtIzenzU+MMf/nDAY2NzaWCbdq3hMUh4evfddwd0GQkhw4dAKCbRaFys7tx3LNdva9LL6TkIaCjfdDlQvpn64cJJAgS04AREVycMCCGkv0mXbiKtc/LkyZnpuI2ggI7IFs/SpQ+oAKisrMyIXRjZoIcu3GpwoaHctLdgX7QnJRa5Ek9GxWCzi5lJoWSYAPGMybekHSazWLyjpOHtp7Qxf3aKa90r90nR4qWa8oqgCvTay1vsE8Q1eoIkFx8joU1faK+08JbVUI10RLeu0WF0erVPGvqlmb1lMuJwpH43cZI+GQ1LIhJQxzXEM6PTLSZHUSrZ08qezP0moOFM4UCTSwNbgJInWPpRHkABjRDSU5oDETH1oUcCAgi21/pzDhAIR2IyptQrJuPAnpwghJDugEgGp9h7772XEdDQSuOLL76QM888s938Dz/8sNx0002azJ4+OPf5fLJhwwY5+eST9eTmoYceKqeccoq2/kjz6aefanlnLuLZ4JGUeAAnRwz6f6tL/bfj6ak7Da0udd4OprfcyDx+oE9SE0JINmaHR8Wzhrceb7diIKbpdINoyitCKfIduMuQzIkR89VLYO37EljzvsT9DRl3sW/lazps42eJc+4ScUzZacT1BcNvjcFqV6FMxbRYROK+Rok11qbENIdLzM4iMdqdYrDY+dvUATm9YyBWYXR0BhBnFTs64zgQDWzBJ598oq61xx9/PHPGkxBCuiMWT0iTPyI2W+527vXbU+6z8hJHxkXWU2KxhJYvZZdvEkLIUAHXK4Qy9ChDs/8JEyZoG42xY8fKYYcdJvF4XIMDPB6PCmYo1bzxxhvlZz/7mZ5kDYVC8qc//Ukfe8IJJ+j3GxI67777bpk6dapWCbzzzjt6+1e/+lXebmiDxSpm7yhJJhKpRMMWF4P2kwGa75LQaXpVA19aQl9SE1qmtZzp33FHyzzZATGpeXWu9GRtVtOis6UCFXc8JGuaIf1amDH75TN/SIuAp5cdCHxtxb+0kNfJ9NaPTV1vJw528fwUCAnJH5DaitH47j+6nK/x3WekeMkynTeZr6WcHWB2l4h39yPEs+thEt66Rvyr35PQps8z3+PhbV/qaLS7xDlrT3HOWSyW4u7TqoelmGaxiWDglw3OtKBPwr4GFRaNdpeYXXCmOcVgdfB7vC8C2uWXX64CGnaU2vLrX/9ad6yuuuqqAW9gC7EOoQEY2DnrDwFtoNOdhiPp7Za+JPkJt1N791ljc0CKXFYJheI5rdMvN9Xq5eQxbj147A0Q7+wQ7xJRCQRS1vhYLCavvvqquj4mTZqU0zKRwYGfp8Ig37ZTf5QeHnLIIdprrLOyyr6AgCh8D2E/D99pixYtknvuuUf3y5DyiddGj1okaeJk5wMPPKCC2+mnn677T/vuu688+OCDGUcaStJRSXD99dfrSVKUd0I8++Y3vyn5itHqEFt598FVqV6VO8Sylokt0/B/WtXKvkwLZTumtRLhMk/VWoTrTKBr/Twtr4sDxMx8Ldf1oDHR8jLpeduMzOtniYMdLXfW35vIXrbsv7Wn4mDLNH1Ym2mGNtN6LQ5mLrJcfpnrrafnJA5mPT/FQVJoGG0u7XmWRJP5LoA7yff5m+KcvZfEYzsCBQsFJHHaJ83TAVdx4MvlWuKJ5E6QCPnF9+m/dVjHTtfyTse0hSoYjkSMWWIaBFOsn7AfYppFfxvN7uKUmGaDmDaSUk77QUBD01jsFHXEwQcfrDtKg9HA9ve//70KZ6eddpr0FwOd7jScQdkGyX+4nVLU+2JSUR+RIlfu1u01G1Ix0S5zSNZvWN+rxzb64zK2xCJrAinnLcCBK8qbwPr168VsHlm28kKEn6fCIF+2U0/SnboDoUnYTxoIkKiJnrIYbYH4tWbNmlbT5s2bpwJbZ+A7DOWb2SWcw4WMeNNJ5WUhF2R2Jw7qzez7OxH5doiD6Wk77tvxOh3f15kIlxII24qDqddPTUrfn7VsGVGx5b7MYnYsanYoDrb7W9LP0/L4LLEvW6Pb8eekrYPtxcGsV28l2LUSCDsp/e20tBh/QySsCXyJSEgSbY9125YMty057ma+NhPb/+F0HeY5SYmht1kPSM3X5rNQgJicXvEsPETcuxwkke1fi3/1uxLc8KlIInUSPVKxTkfDO0+Lc+bu4pqzRCxl42WkAhHR1CIkJuMxSUSCEq7erKWyENOMriIx2V3aN22khTPkdHRWU1Mjo0eP7vA+9LXA/YPRwPaJJ57Qs6K77bab3kZ5ATj22GNl6dKlcuWVV+ZdutNwBGf2cXACMbMjoZPkB9xOrflyU4M4vDEpcudWQhmNJaT65Wq9vufO02VUUc+bbkaicSkNx2TOlJJWCaD4DqutrZWGhgaZNm1aJrmO5B/8PBUG3E6E9L84qPMU6IptLdp1LAC2Egez728rDnZyX+vX6lig60iEaycOSpZ7MCMOZj22rTjY8vw7jHyp+w36uKznbPv3Z5ESDrOWt/0KbDuh3fQd7svMgmTNkxbXsl8iZUts9dSG1vNnLto8pp3GmVEzs5+r9e0djsEO3sXtBMKOxcF2YmG76V08trciZhfzdvdanbsjDVqq3hNS8xXqJ749cE6hBxpGPOST4Jcfqist1pCqZEtGguL/4i0dltGTU660Gbul3FkjFJRzmhyeLDEtJInaLRJrJ6Y5R4SYlpOABjv+pk2bZPHixe3uw3SXyzUoDWxffvnlVrdXrlypZ03vuusumTFjRk7LMNDpTsMZiGdcd/kPt5NIKBKTuJikyGsVuzU3l9e2rY0STyTF47TIhPIiCQT88sxTj8lTTzwqNdVVMmp0uZxw0mmy9IRTxOVqLYSFomEpK3VIWYmn3c7NN77xDXXB4ruQn6f8h5+nwoDbiRDSTjwZzu5BiGH+gMQbY2IZN0vsOLZp6+5rddFeCGt9u20tbfvS3WRPH9PmNXaImj1/TNvp7US7tFsx+7Gt+hhm3W4RH3fondnztXn9zp4rS8Bsty6Svfvbei9i9mR9pAXHlMAYDwfFvWA/qX3lvlbpm21BU3n3gv0LIkQgF0x2t7h3PlBcOx0gkcr1KqSF1q3MlLZGqzdJQ/UmTSl1TN9NXHMXi2XUpBFdtm1QMQ3HNW5JJuItYto2iRoMGkxgUjHNnRLThmlAQ05/FYSzO++8U5vKFhcXZ6bDNQHxKjtFcyAb2E6ZMqXDEILx48dLWdkIjKclhPSIYCgm4WhCPL1s/J/Num2pvozTxhfJuq+/lLNPP16qKiv0RxU7g1s2b5QVH74vt9z0R3nwkX/IjJmzM4+NxOJS6m0vnhFCSE/44Q9/2K5fbEfgOwZ9FQkhI4Pssk/0fxKDUR0h3blCuDfSP7QTAzsSuzoRGDsVMTPTOqr5bSucdf0a2cuFZS1avLTDFM40RUuWai+sQgoQyPVzYxs7XUdiyTIJfP2RBNa8K9HabXp/MhrW2xiW0vHinLtYnDP20PLFkYzBaFLnmdhdKqYlI2GJ1VdKVCrVsWdyFqnYpmLaMOorl5OAduGFF2pEOdKVjjrqKBkzZoyKVy+++KL28EEa02A0sCWEkFzwBaOpk899ELDWtwho40ssKp7V1lS32nlKX2I67n/59eXqRIN4ZrWYxO1o/0OCx+B7D70YW++EEULIDubPn68nGgkhhOQPrfcruy6DbvdYGXyK9z1JnWlI48x2osF5BvEMCZyh7V9r2aPBZh8RjeMhirnn7yuueftItGZLqlfauhUqooFo3TZpfPspaXrvObFPX6glntYx00b8SXEDhHo7qvicmmKN9RVrrJJoA8Q0u5icbjE6vGK0O8Vozt3AULAC2vTp0+Xhhx9WIeuxxx5TZxgaz0Lsuuyyy/T+wWpg29YZ19X9hBCSSCSl0RcWuyX3Gn3Y69dva9LrX33ymjrPOgPfj7j/2acfl9POOFdC4bg4bKYOS0chnN188816fSAS9gghw8eBtssuuwz1YhBCCClgjBarFO+9TIfvszcl1lQtZu9oce+0f2Yec9FoiTfXSsLXIIKeV3bXsC3NayuGWkdP0gExMfj1Ci3xRFknQJln8MsPdJiLx4hzzmJxztpDyxdHOgYjBFeHiM2hpdQQ06JNtWJorFFx1uh0i8lRlBLTCrC3XM7vfhzcIb4cbonGxkYt5bTZCm8FEEJGFsFwTILheIcOsJ5SUevX57FajPLvl57OlG12Bu5/8vFHVEALR+MytswpRiMLJgghhBBCyNCBvlXAu/th2iC+rThmtdol6S2VeMCnvdASwWaRREIMNmfmscMdiDyuuUt0oKzTj3LOrz7SwAGAAIKm956RpuX/FMfUnXU+67gZI8Kx1x3qXkTQgBViWlLFtLivQeIQ1Mw2MdrdYnJ5U2WeFltBOPn6LB+jFxkGIYQUAoFQTKLxuFjMuQv+n6+r1csZE4pleU1Vt+WWuL+2ukpDB9CSxNWJeIcU4B//+MeyevVqvU4IIYQQQshg0JmzzGCyiNlTIiZ3kSRCAYn7G1QEiUEEsdha0hdHhlhkKRsvxfucKEV7HSfB9SvVlRapWJe6MxGX4LqPdZi8ZeKavVicsxeJyekd6sXOCwwGgxggukKUhZgWi0g80CgxX62+x+BuNLuKU+8nqz1vxbQeC2jHHnusXHLJJdrMvydUVVVpoEB5ebmcf/75fVlGQgjpN5r8ETH38Uf+47WpfmcLZ42SV0eXa2BAdw60stHlmv6J0s3OBDTMhzJ2I6zPefqjQQgZWk444QQpKSnhZiCEEDLobiI0hcdIFI1WNxpENIgg2G812lzDqll8V+DvdM7aUwf6fAXWvCeBLz+QRMiv98Nh1fTB89L04Ytin7xAEzxtE+aMGKGxR2IayjdbSjgTsYiuu7CvQddtSkwryhLTjIUnoB155JHys5/9TIqKiuS4446TvfbaSxYsWKA7cVgBKOXctGmTrFy5Ul577TX5z3/+IzvttJP8/ve/H9i/gBBCekg0lpDmQFjs1tz7n1XVB2RbjV9LMHeaMUpOOOk0TdvsCohrJ558uoTCMSkvdYrZlD8/AoSQwgL9Z3vC1q1bdd5bbrllwJeJEELIyAJljZq06C6RRNAnseZ6iQebRELNYrA48tpB1N9Yisdooql3z6MluPEzCax+V8LbvkzdmUxIaOOnOrCu4Ehzzt5LzG6eCMtGgwVawgWQ+gqnY9jfqOEECHYwuoo18VMFtSF+X5l7k7z5zW9+U/ueITjgL3/5S0o5NBjEbDZr8+v0geKee+4pf/rTn+Twww8fyGUnhJBeEQhFJRyJS7En97LzlV+m3GezJxWLy26RpSecIrfc9EdN20RgQFvgKCsbNVqOPf4kCcaS4nV1njyDx7/++utSW1srs2fPznkZCSHDl0QiITfddJM8/vjjenvZsmVa+o3vGhCJRLQC4O6775ZwOJUaRgghhAwEEDhMcAo5vZIMByQWaJI4xLTmulTDeDvKO3M/cV1oJbDO6bvqgDMP5Z2BL5dLIpAKHov76qX5o5elecUrYps4VxM87ZPnj5j101PgQDO1OBnRly8RCUq8ZovETGYNdRhq8bFXPdBQjol0zB/96EfqNPv444+1VBPuMzjRkL6JJMyxY8cO3BITQkiOoPE/RH5THxr4p8s3d509Wi9dLrc8+Mg/5OzTj9e0zXSgQPoS4hnut1idEjfEVHTrSkBbvnx55johhLTl1ltvlTvvvFN23XVXcbvdcu+994rH45H/+q//kg8++EB++ctfakXAlClT9DohhBAy0Kixxu4Sq90lCW+ZJALNEmuuk3igSbDXraEDBZi4mCtmb5kULTpavHscIaHNq8QPV9qW1XAb6QhvXqXD6PCoIw1iGh5D2ouSJodHr+P9pOuvEEME0NwaLjMMQggpBCBmNTSHxWLO/SxPdZvyzTQzZs6Wl19fLs8+/bimbSIwAD3PULZ53LKTVWRr8IXF7bSIrYvyUThIFi1apA60tJuEEEKyeeGFF7SVxrXXXqu377vvPnnooYdk1qxZ2qsW+2g/+clP5Nxzz2UYCSGEkCEpxzN6y8TkLtZSvJivXuL+RokFfVraiZK8fOppNZDAXeaYspMOrIfA2uUSWPu+utEA+sj5Vr6mwzZ+ljjnLNYkz84CHcjQ0+Mt4/P55KqrrpL/+7//k2AwKLvssotcfPHFerBHCCH5Dko3/aGoNvHPlY/blG9mA5HstDPO1dERkVhcSjyeLuv2IZp94xvfkFWrVlFAI4R0yPbt2+XnP/95q5Cna665Ri677DLtT/uHP/yBlQCEEELyo7zT6dGBMryYv0nivjpJ+BpE0NvK7hpRQhFKD727Hy6eXQ+V8NY14l/9noQ2fa590gD6pmE02l3inLmnOOcu1v5qJL/o8Tv2hhtukKeeekpmzJihJQOfffaZfPvb39bSAeywEUJIPhMIxyQSjYvX2XkPsp6nb6bKN3tKoz8sTptZPM6RkUxECBk4cBIzO4WzuLhYL9FC4+abbx7y5rqEEEJIW4xWh1itDkl6SyWuoQN1Gj4giYQY4Eiz2EbM7xeSOO2T5ulAiSv6pKFfGpI7AdIofZ/9W4d1zDRxzV0ijmkLR0zC6bAR0OA8O+OMM+TXv/613q6rq5Mf/OAHct1118n//u//DuQyEkJIn/EFopngk76Wb+6cVb7ZHcFQTOKJpEwbXyTOLvqfpctM0fsMTcJxnRBCusNoTJXBnH322SPm4IMQQkhhYjBZ1IllcqG806+lnShnjIf8KqJpymLL79pIwOT0imfhIeLe5SCJbP9ae6UFN3wqkkj1Qo5UrtfR8M5T4py5h7jmLBFL2fihXuwRTY8FtIqKCjnyyCMzt0tLS+UXv/iFnHbaadLY2ChFRUUDtYyEENInIGDBBWa3mPqnfNPRszNAKNv0haIydZxHSr3dJ38izRgJxgD9jAghpKe4XC6uLEIIIQUBTviYHG4diaJR2gsMyZXxQIP2RzPaXCPKcYW/GT3QMOIhnwS//FBdabGGSr0/GQmJ/4u3dFhGT1IhzTF9VzFauz++IEMkoMERYbO1Ts6YPXu2uiQqKyspoBFC8jp9E8PryL18c+WXNb0q34Roh9CC8aNcMqaUB7aEkIGF7jNCCCGFCNI5MUzuEi3rjDXXSzzYJBJsEoPVqcEDI+k3zmR3i3vnA8W10wESqdwggTXvSnDdSknGo3p/tHqzNFRvlsb3nlERDSWellGTRtQ6Gkp61bWvqqqq1W2r1ZpxTRBCSL4SCEUlHkuI2WzMuXxza7VPjAbpUfkmTizUNYWkrNghE8o9WvbZE5Ced9FFF8natWuZnkcI6ZRTTz213bSTTjqp3TTsTH/xxRdck4QQQgojdMBVJEanV5IaOtBS3tlcp240DR0wjpyUevyG28ZO01G0ZJkEvv5IxbRo7Ta9PxkNS2DNezospeM1dMA5Yw9NOSV5IqDhwM5ut8ucOXNk7ty5WmJEpZMQku80+cNiNhn7XL45a1JJj8o3G3xhDQyYMsYjll6Idvg+xXcshDR+txJCOuLCCy/kiiGEEDJs0Z7FNqdYbU5Jekdpo32EDuASp6RxHxxrIwmIYu75+4pr3j4SrdkifrjSvl6hIhqI1m2Txrefksb3ntXAAbjSEEDA44khFNDuvPNOPYuJ8fnnn8vHH3+cuQ/hAhDVFixYkBkQ2AghZKiJog9ZICp2q7nP5Zu7zu5Z+WYsntCyTbtt5ERzE0IGBwpohBBCRgpwnpm9ZWLyoLzTLzE40vyNEgv6tLQTwhL6h40UIIhZR0/SUbR4qQTXfazBA9HqTakZ4jEJfvWhDnNRuTjnLhHnrD20LJT0Dz0+ujvwwAN1pGloaFAx7bPPPssIa4888oiWLmHDrlq1qp8WkRBCcicQikkoEpdSj2XQyjfRgsBq6f2PORI433rrLamurtYek4QQQgghhIx0IJKZnB4dCZR3Bpol3lwrCX8Doj1T5Z2mkXXiGi4815zFOqJ121VIC3z1oZa/glhjlTS994w0Lf+nOKbuLM45i8U2fuaIEhwHgpzfZcXFxbLPPvvoSOPz+VRQo3hGCMkX/MGoJJPS4z5kfS3fTCSSYjQYcyoZhYD29ttvZ64TQgghhBBCdmC0OsRqdUjSUypxpHc212n4gCTiWt5psNhGXOmipXScFO9zghTtdawE13+iJZ6RinWpOxNxdaphmDxlKrg5Zy8Sk9M71ItdkPSrTOt2u2XJkiU6CCFkqIEbrNEXzskNlnP5ZiIpJpMhp8ACo9Eou+66q9TX1+t1QgghhBBCSHvgODO7S8TkKpZEyK+lnRo6EPKriKblnSModCBd8oqSTYxoQ1UqZODL5bp+AFx7TR88L00fvij2yfO1V5ptwhwx8Lijx4wsnyMhZESB0k2UcObai6y6Idir8k0QjyfUfZaLA81sNsthhx2mLl5cJ4QQQgghhHQO3GYmh1tHomiUJOBKa0LoQCPu1f5fEJZGGpbicilafJx49zxKQhs/V1daeOva1J3JhIQ2fqYDAqRz9l7inLOXCpKka3iERggZtgRCUQlH4+J1WXN6/Mq1vSvfBPF4UmxWk5hyLBklhBBCCCGE5NYXDMPkRuiALxU6EGgSCTaJwepIjRFW3gmnnmP6Qh2xplrxp11pWC84dvE3SPOKl6V5xStimzhHXWlwp400915PoYBGCBm2+IJR7X2W6w9luv9ZT8s3QSyRkCJbboIdIYT0lvXr18u///1vCQQCkkgkWt2H774f/vCHPX4uPP6WW26Rxx57TJqammSPPfaQK664QqZMmdLh/E899ZRcdtll7aa//PLLmce88MILcvPNN8vmzZtl6tSpcumll8oBBxzQ67+TEEII6SkQf0yuIjE6vdpUP5Yu72yuUzeahg6MQIEIiaZFi44W7x5HSGjzKgmsfk9CW1ah7w1saRLeslqH0eHRPmnol2b29qwKZ6RAAY0QMiyJJ5LS2BwWu7Xv5Zs79bB8M+NAs+T2gxyJROT666/X3m0zZswQp9OZ0/MQQkYGTz/9tPziF7/Q74yO6K2Adtttt8mjjz4qV199tYwZM0auvfZaOe+88+S5554Tq7X9iYE1a9bIXnvtJX/6059aTS8tLdXLd999VwUziGx77723PP7447o8WG58xxFCCBk6cNIkloxLPJEaCUmK3WQVq3n4nAjG7yCCBaw2pyS9o1KhA021GfcV7oNjbaQB8dAxZScdcKD517wvgbXvq8gIUAbrW/kvHUjudM5ZokmehhGWdNoRXAOEkGFJMBTVHmj9Ub7p7mH5JkhKUizm3M9otXWQEEJIZ9x+++2ahv773/9exo4d26eyFAj49957rwpeBx54oE674YYbZP/995dXXnlFjjnmmHaPWbt2rcydO1dGj+7YpfuXv/xF+zqeeeaZevvnP/+5rFixQh544AG58soruWEJIWQAwEmVeDKREcbiLSIZxLJoPCaReESisahEkzHd79R5kwl1IVlNFnFanVJk84jDYhe7efgkWsJ5ZvaUisldLIkgQgfqJeZrlFjIJwaLPRU6YBh5IV7ogebd/XDx7Hqo9khDrzT0TEOfNBDe9pWORptTHLP2FNecJWIpGSMjFQpohJBhCcID4ELLpZl/ruWbaXJJ4AQWi0X+67/+S7788ku9TgghXbFt2zb5zW9+I+PGjevzilq9erX4/f5WSeper1fmz58vy5cv71BAgwPtiCOO6PD5cFD20UcftSvxXLx4sQpyhBBCek8imWjnHEtfj8SjEolFJJKIphxlmA++MpycbdHADGiqbzSKyWASo8GobjNcmlqEIzxHc9gn9cFGMRtN4jTbxWP3iMviUEHNNAzKHiGSmZweHeaioMQCzVraGfc1qDNLyztHoNMKSZz2SXN1xAPN2icN/dLiTTV6fyIcEP9nb+iwjpmacqVNXyjGYeRY7Akj751BCBlyorGENPrCghNaRoNB+5Sle5WhZBLXTZnbqft6S6M/LGaTYVDLNxPJpC5vrqId/l6PxyMOx8hrcEoI6T3Tpk2T7du398uqq6io0Mu2Ylx5eXmHr1FXVyc1NTUqrj300EPS0NAgCxculJ/+9Ke6XOihhr5scMb15PkIIWSk05kwFlPXWFSFsWg8qm6xtHMMlQ+K7oMaxajimFGFLrjJjAYEW/V8v9RmtuoAcKuF42Fpbq4QgxjFZraoM81ldYrD4tDnL3SMVodYrQ5JekpT5Z2+ekkEmkUScS3vNFiGjwOvN0Bc9Cw8WNy7fEMi29epKy24/hNdLyBSuUFH47tPi3PG7uKcu0SsZRNkJEABjRAy6NQ3h+TrLYiWTv3o43cJZ8RUMINwpmdBWsS1lmkQ1Exmo5hbrkOkMpmMen/qcSnhDbeBLxDNuf9ZunxzZi/LN9H/DMuUq3BHCCG94Sc/+Yn87ne/kwkTJsiuu+4qNlvufVyCwaBetu11hudsbMT3dfvyTWAymeSaa65RsQw91L71rW/Js88+K7FYrNPnC4fDfSpNwmsNBPgtMZvNqQMEo0n/hs76yxGS76Q/0+lLkicllWmBrOV2NBGVSDyml+n7E4mkimfYm8Q3EHZtIYqpGJYlkpkNEMgy1rKWF2sZiaTEW/6L9mHZzWISs8GkyxsOhWWzv1n/HovJoq40j9UtdotN7KZhIDQZbZL0jJGk1aPJnclAgyQaa1MiGtI7h4H7LidKJ4pz75PFvvvREl63QsJffSDxxiq9KxkJiX/V2zpMpRPEPmtPsU1dqOusv0mEw5IIBsVkGph9ANCT/tMU0Aghgwp2CmobgmIxG6XYbWvl3komkhoCg+t6u+V6LJaQSFIkGYq1zNcyvyRb9hdUgcsc6GBnIhZPyOgSZ9/KN2f1rnwzHk+ouIe/LRfi8bi8//77UlVVJbNnz87pOQghI4errrpKamtr5dxzz+3wfhzMfPHFFz16LrvdnumFlr4OIHbBFdsWlHri+6qoqCgz7dZbb5WDDjpInnzySTnllFMyz5dNZ8/XU6LRqKxatUr6E4h6UyeO17/b/8m/JN5cKyZPmbgW7C+hcEg2bNnWJ9GPkKFkw4YN3AADLY5JIlVa2dJLTP9LJiSWiEk0mXKSJaXFMYZ9XNnR7xanjdU51uYyfWI5H8HfEEvGJJJAgWhCy0GtRos4jXYV0nAdf0PBE4+KIRIRQ7hGjNGwKplJs11kBJZ3ZrCPF1lwnJiaq8RSuVosNevE0OJKi9dtFf97W8W3/J8SHTVdomPnStw9OqUA9wOGUJPEG8KStHtkoED6eHeM4K1PCBkKfMGoNAWiUuRs7UrQM2j95NyCuJZ5zl5Sk1W+ufPM3sU2xxJpB1ruAtq///1vvX744Yfn9ByEkJHD0qVL++250qWbEPAnT56cmY7bCAroiGzxLH3mduLEiVJZWSnFxcV6G4/PBrfblnX2BvSHnDlzpvQXOEC1mY3S8NaTUv3eM5KM7RD86l69X4oWL5X5+54o4VjqwJeQQgHOM4hnU6dO7ZNoPZLJdorBGRbLcpChpBLllBDIICCoeJaIC/YA03ufaadYqseYqdXt4UQ0EZNwLKLrA8KfxWITj9WlDjW72V7wpZ7oIZcM+STub9T0ziT+TjjSrPa8FTkHnuk4lSaJSEgiG1ZK6MvlEq9PtWcwJGJirVqrw1Q8RmyzFolt6q4a0tAXEr56MY+eLCZ3iQwlFNAIIYMKyjfxQ5Rro/2ekItw1tZ91tvyzbQDzWGz5Pxjih2rBQsWaLkUrhNCSFdceOGF/baCIJK53W557733MgIa+pjBwZZO0czm4YcflptuuklF/7Rjzefz6QH7ySefrN+Du+++u7rU0m40gOfvyRnezsDz9qTEoqdg5x/iWcNbj7e7D2KaTjcYpHjvZdorh5BCA+JZf35mho1rLKvHWHZipfYa0xHZcR/KKtOVD0k4w7CvaRSTxSh2g62lrDLVlL8v+6CFCn4B0p6geCIh4VhYmuN+aYr7xGqyitviFI/drYEEtkJN9XS7JVk2RpIRhA40Sry5XpKRgAj6zCF0YKSWd9rt4tzlQJFdDpRIzWbxr35Pgl9/JEk49vB+aKiUwPLnJPDRi+KYtlBc6JU2ZlpO74FY1CY2h0PMQ/x9RgGNEDJohKNxqWsMicuev2ktH6/NrXwz3QPNbs39BxS9d44++mgtT9I+PIQQ0g2hUEjTMFHamHZIobk03CcffPCBNvXvCehVBqHsuuuuk9LSUu2rdu2116pb7LDDDlOHLIIDEHQCwQylmjfeeKP87Gc/k4suukiX409/+pM+9oQTTtDn/Pa3vy3nn3++JnkecMAB8sQTT+j3G0pP84ekNL77jy7nwP0Q0Agh+U+quX7rJvwQdXA97ZJKNeLPSqlEb5AWg2mqEb8hk1JpM1kzrrGCFH4GGQQWOK0OcYpDf5PC8Yg0hpukNlgvFqNFHFa7eK3u1DxmR0GdMMb2R7CA1eaUpGdUVuhAU+p+m1OMA9D7q1Cwjpok1v0mSdHi4yS47mNN8IxWbUzdGY9J8KsPdZiLysU5Z7E4Z+0pJodbCg0eoRFCBg0kb4bCMRlVnJ9n8ftSvglg37flGFxACCG95d1335VLLrlEnWId4XK5eiyggYsvvlgb519++eUqiC1atEjuueceFde2bNkihxxyiFx99dVy4oknasnnAw88oILb6aefrgdK++67rzz44IMZR9p+++0nf/jDHzRc4IYbbtDSyzvuuENmzJiRNxvb99l/tBynK+BE8332pnh3P2zQlosQ0p626ZTp60iLjLY4x9B3DIJZyjWWKr1OwjHW0lNMEyo1mRIplVYVfIZbSWW+gPVtN9t0AGyjUDQkTaFmdew5TDbx2Nzi1lRPuwYTFAoGs0XMnlIxuYslEfRL3N8gMV+DxEI+MVjs6lg2FJA42J8YLTZxzVmsI1q3Xfyr35XAVx+qew/EGquk6f1npemD58UxZSdN8LSNnymGAvkc8kiPEDKo4QFWiylvz+B9sKoy5/LNFKl0UEIIGQzgAEOvsd///vfyzDPP6Jl8iFtvvPGGPPLII/KXv/ylV8+HRM1LL71UR1vQ2wxOt2zmzZunAltXLFu2TEc+kozHJNaUch13B+bD/IaR3DyakMEqqcy6DtElnHaNZZdUoi8VMqSSKaFGSyq1xxiEMbMYjanSynzd5xyJQCBLi2TYlnAEVvlrpNKfLNhST4g+JqdHh7lotMQCTZJorlNBDWWdRptTxbaRiqV0nBTvc4IU7XWsBNd/oq60SMXXqTsTcQmuX6lDg3vm7CXO2XuJyemVfIZ7AYSQQaE5EEmFB7jys3xzW7VPXvtgk17fa/6YnJ4D7v++CGhIq/vzn/+spVJwaLBnCSGkKyBo/e53v9MSS/QfQ1+yAw88UAdKOm+//Xa56667uBI7AWKY2duzcn3MR/GMkN6jZZIdCGNoyI8+Y2n3GKanyi9TKZYQxnaUVKaa78M1ZjGYxagOMp6wLGSwLdOlnugvh/dCA0o9Qw1iNZjFYXVIkc2jzjSH2V4QpZ5Gq12sVrskPaUSD/ok5quTRKBZJBgXg82hzrRCEAUHAoPZIs5Ze+iINlRJYM17EvjyA0mEfHo/0q+bPnhBmj58SeyT54lrzhKxTZybly4+CmiEkEGhIR0ekIcOrUgsLg++sEpi8aTMn1Yqu88p7/VzxBNJ7ZnR13CEcDjVdJMQQroDB5vpRMtp06bJV199lbnviCOOkJ///Odcid3g3mk/qX3l3lbpm20xmK3i3ml/rktC2rrGsprvZ6dUQhRTcSyGlMpYRhjDEPRqbNEQ0uWUEEcsRrOYzKlySpZUjiyMHZR6BqNBLfWEgIJST6/do6mehVDqqSdn3MVichVJIhyQuK9BHWlxX53+nqgrbaSGDoiIpbhc+6R59zxKQhs/F/+adyW8dW3qzmRCp2Fg/cGRhn5p5iFO3syGAhohZMAJRWJS1xTO2/CAZ99cJ5V1AfE4LXLaYXNyOjuEBE4zBDRT7meWLBaLfO9739ODYFwnhJCuQFomXGh77rmnTJkyRYMDvv76a3WwopeZ3+/nCuwWgxQtXtphCmeaoiXHcz2SggAClrkfDszRO0ydY+gn1iKSpZ1jmlAZi0gkkSqphHsI9+EkaVoYM4ghU04JMcyKpEKjiSWVJKdSz1AsLBXNVXrbhhMaNrd4rC4V0xDykK+uLu25Z3fpSBSNkgRcaU21Em8JHUB6p9Gcn8dGgyU0OqYv1BFrrpXAmvfFv/b9TChD3N8ozStekeYVr4pt4hyxT1kg1vIpQ73YFNAIIQNPQ3NYguGYjM7D8IDP19XKf1Zu0+vfOnyueJy5/ZAhgdNkMoilDw47/NCWlJSI2+3O250BQkj+cNxxx2kTfxzonnXWWbLTTjtpPzRcR7N+NO0n3ZfcFO97Er6ANW0z24kGpwDEs+J9ThSjZeQe5JD8BuIC3GBvbVou1f46Ge0qlf2m7CViNojNZut5SaW6xqIqjKVSKlMiGi6T6YjKZLJdSaVVHWMsqSQDA95jLqtTR7rUsz7YIDX+WrFqqqdDiuweLfPM51JPNNbHSIUO+CTmr5e4v0liweZU4IAV5Z35ueyDgdlTpo40z+6HS2jzKgmsfk9CW1alHKuSlPCW1TrQN63s4LOGdlmH9NUJISNCPNta5ROXw5J3olCTPyKPvJJqin3AbhNk7tTSnJ8rlkiIxWwUUx6WqBJChidwrNbX18snn3yit6+44go577zz5Ac/+IEK8eiBRroH4ljx3st0IG0TgQFm7yhx73SACgcJk0kSiThX5UhED97yF/QKe3rVS/LsmldV9Epz34rH5Lg5h8rS2YdJo79RGuLNWk4J8SG715iWVIKWssqOSyrhIsuv/TfSv2BbO61OFWKxrx6IBCSaiOV9qScE30A0KI2hZnU8YrrX5lGxDUEE5jwMfUHpJkoTjU6vJIuCEgs0Sry5XhK+ehE4NVHemYfLPZjrxzFlJx0oe/WvXa790uJYPxroUzvUi0gBjRAycARCUdlc2aT7ZS57fpUk4izWIy+vFn8wKuNHueTYfaf36fngQPM4+1Y2gfCAjz76SCorK2X27Nl9ei5CyPAHB7nZfc523nlnefXVV2XdunUyffp0FdFID9el1a6X9oUHii/kk7Akpbq5QsLxznujkeFFfktl7ZngGSMvfvVvefKLF9rdBzFNpydFDpuxv2xu2ta6pNJsVbEM1/Pt5CYZPFDu67G6VWh6a+MHUhOok1FOOBgX6XuoOeLTsuB8BaXBGADLGU6XehoMYjNZxJMp9XTofPn0XseyGGxOsdqckvSMkniwWWK++kz5Iu6DY20kY3IVi3e3w8Sz8BAJb/tSItWbpGjPo4d6sSigEUIGhmgsIZsqm8UXjMqoovwr3XxzxVZZvbFeSy7POmqeusf6AhxoNqu5zwLaa6+9ptcPOeSQPj0XIWTk0NjYKB988IFUVVVpeACEM5fLNdSLVZDAgRFOxMRiMqd6NiVHbqPnkQb6dhUKVpNVRbBnV7/S5XzPrn1Vjp93uJS7yvLSUUSGVjwrc5Z26GC8/+OUg3HZvCOkNlCX1yJa9t9jzir1hJhWF0CpZ532U0MAgcfuFqfZIXaUU+ZRuSQSKs2e0lR5Z8jfEjrQKLGQTwxYVitCB/JneQcbo9UmrjmLxTFtFzG7imWoGbn+QELIgJFIJGVrVbPUNYakrMiRV2d8wNZqnzz71jq9vvSA6TK2rB8ONJNJsVpMfXaTwHnW3Nyctz0cCCH5Bco077zzTgmFQvpdu8suu8gNN9wgDQ0Ncu+994rX6x3qRSysPlIbl0t1gbkwyMijyO5Vx1B3ohjev//ZuFwWTVwojaGUs4UQAOcZxLOuHIzYez9q1kFSH2osqJWGUk8EDGDgex2fE180IPXhJjEbTBpEUGzzitOKVE9HvwRv9AfogWZyeHQkikZr2EC8uU5LGVHaqOWd5vyq6BlQkGbq8Ojf7Pv8PxJrqsm0V8h2jg82FNAIIf1OZZ1fttcGpNhjE5Mxv8SzSCwuD72wSksuF0wvk313Gd8vz5uUviVwArPZLMcff7ysWrVKrxNCSFf89a9/lZtvvlkuuOACOeigg+Sb3/ymTj/nnHPkpz/9qdx0003y61//miuxG9BHZ7i4MMjIAKIAyu16Qm2wPu97uZHBxWK0aNlmdw7GZ9a8KkvnHq490grVwYgTSx2Vem5rrtRST7vJKh6bS9wtpZ4Q1/IBiEMYcKbFETrgq5NEoFkkGBeDzSEGC0IH8usYq18xmcXiHSUNbz8lje890yrgp/aV+zQ9GwFAQxHwQ4sDIaRfqW8OyZYqv7jsZrGa8+OMTjbPvLFOKusCmrZ52qGz++XHR5uuQgBjgAAhZBB56KGH5Pzzz5dLLrlEFixYkJm+//77y49+9CP517/+xe3RA+cZnBYY2eJZtgvjH6teUrcGIfkC9l3gkuwJZY4SFQoISQPnVW8cjAgYGC7AbYYyz1JnsRTbPfpZqg00yPr6zfJV7XpZX79JagP1Gk6QSIdsDCEIFDC7i8U2ZprYxs8Uc8kYlPpI3FenfdOSw/TEjtnhUfGs4a3HW4lnALcxveHtJyURCQ36slFAI4T0a2jApopm3U9z5lloAPhsXY289ck2vX7GEXPE7eyfsxZwsyF9s6991AghpDds27ZN9tprrw7vQ4hATU0NV2gPToD0xIWBHjpwYRCSDwQiQdl3yp76vuwK3I9SZKQqEpKGDsYU6IOGMs9ih1dKHEXqUvNF/LKxYYt8VbtBR2VztTSHh76MH0Kfye4Sa9kEFdJs5VM1ZABlnho+0EZkKmQMZouOxnf/0eV83d0/UPBojxDSL0Rjcdm4vUkC4ZgUufLD/pxNoz8sj76yVq9/Y/eJMmdKz87c9jRAwGTquwMtGo1qP6NXXnlFrxNCSFeMGzdOVqxY0eF9n332md5PuuatTctHpAuDFDbRRFRi8ZiWGHfFcbMPlXAsUrDld2RgoIOx43WCYA6vzSNlzhJxWR36OUOp59d1G+XL2nWypXG7NISaJDLEYhWEM7O3TGzjZoh97HQxe0okGQlJrLlWEuGAJPPAOdcXjDaX9jxLtnGFtwVONN9nb8pgw1NphJA+E08kZXOlT+qbw5q4mW81+UjjefilNeIPRmXCaLccs8+0fv/7zUZjnwU0nBH0+XyZ64QQ0hUnn3yy9kCz2+3yjW98Q6cFAgF56aWXNFjg29/+NldgF8BRUO1nHylSmCDcAv35DC0uyewSZDjPls45VAW0iqZqMfUx5IgMTwcj+jy2LV3vyMFYH2yQkYbZaBa31SxixXFEQoVo9B2s9teqUw0nVLw2tzrY7OahSfVEsIDJVaQjEQ5KLNCooQMJX72IyZIKHTAVotyT1MCAnhBrqpZkPDaof2chrlFCSJ5RWevX4IASj12MeRYaAN5YsUXWbqrXEsuzjpor5n4utUQJp9Nu7vPfjuCAs88+W9avX88QAUJIt5x33nmyZcsWue6663QAfIeA4447TsMFSBffuUaTjHaxjxQpXAEY4RZISUSjd7gkERiAnmcQPXDAv/zzD2Xs+HEU0EinDsaOUjjTQISFwDbSHYzpUs90qieCZ1DWWR9s1N8Rp9kuHrtHXBaH2C32IUn1NNocYrU5JOktk3igJXQg2KwBIgarY8gSK3PDoGmbPcHsHT3oIiEFNEJIn6hrQmiAT9wOa172ANta5ZPn3lqv148/YIaMKXX1+2vE4wmxWfv+Y2k0GmXMmDFSV1en1wkhpCvg9r3yyivVafbuu+9KY2OjeDwe7Ys2a9YsrrwesO/kRXLfCrowSOGKaPWhRu3Pt2jiwlTapsGgjqHmgE8CoeBQLyIpYAfj8S0JxKT17y6SOtNpnbFETMNompsrxCCp+4psHnWoQVhDWehgYjBZtKTT5C6SRMgvcV+DxP2NEmuqFYPVJkarUwx5foyRCPvFvWA/TdtsGyCQjcFsFfdO+8tgQwGNEJIzviBCA5rEZDKIw9azr5NYLCFP/vsrCUfiMm6US8f4MpcUe2z9XvoZicblwRdWqUNsp+llss/OA9MPKJZMih02b0IIGQKmTZumg/Qe/O7QhUEKHTiEGkNNQ70YZBg5GCGo4f6hbp5fMKWe2jImoWJalb9WEv4asRmt2ksNfdXSpZ6D1ebGYDCKyeHRkSgarWEDKO+M+xu09FPLO835F/gGkrGojqLFSzVtszOKlhwvQ0HeHfElEgm55ZZb5LHHHpOmpibZY4895IorrpApU6Z0OP+XX34p1157raxcuVIdG4sWLZLLLrtMxo8fP+jLTshIAuIUxLNQJK59z3rKR2uq5J1Pt6durNkx3W41qZg2tswl4yGslaXEtb6kef7jja+lqj4gXpdVTj1szsD9aCX7HiAA4vG4Nv5Gst7s2bP7ZdEIIcOLX/ziFz2eF995f/jDHwZ0eQodHNCcOP8odQ48s+YVujAIISOGrhyMI71sM9dST6fFoSNd6tkU9kldVqmn1w53mkMcZruYBqnUE+WbGGZPqcSDKO+sl0SgSSQYF4PNIQaLPe/6V8eCzVK8zwmo5pTGd59p5USD8wziWfE+J4rRMvjBdXknoN12223y6KOPytVXX62lTBDH0OPjueeeE6u19Qqqr6/XsgWIZn/9618lHA7LNddcI9/73vfkqaeeEpvNNmR/ByHDGTTN31TZLA2+VGhAb3jns5R4Nn9aqdgsJtle65eq+qAKceu3NenIpshtzYhp40a5ZVyZU8swuysX/fTrGnm7Raj71uFzxO0YyLMsSTGbDf0ioL3wQqoXRbohOCGEZIP9G+zoYh+pu1LvfNshzlfQEPr4eYfr+M+G96WGLgxCyDAG4g7Es0g8oiJP+tJldUqJvYi/HQNQ6hmNxyQcC8vWpgp1h9k18dOt69xhcejv0ECDXmFmd3FL6EBA4ho60CBxX50YTFYx2lHemSeBI/GYRJtqpGjPY6R4yTLxff6mBgugN5p7pwN0lqEQz/JOQItEInLvvffKpZdeKgceeKBOu+GGG2T//feXV155RY455phW87/66qsSDAblf/7nfzJiGQQ3PPajjz6Svffee0j+DkKG+4/u9mqfVNUFpBShAV0coPn9PnnmqcfkqScelZrqKvEWl4mxfC+ZNP9AOfXQOeoMA7F4Qp1i22v8qVGbukSqZ6MvomP1xvrM86JX/6hiZ6r8M8utVlqUWp5GX1j+/krK3nbQHhNlzpSeNYnOhUQiqa9p6QcHGg6Gp0+frkmc7IFGCOmIo446Sl5//XU9aYjr2DeCW5/03YkG9p+6l9QFm8RhsdGFQQgZ0v1tuMB2iFxRicSyrmcJX62vdzBPrP38SZRPdECR3SPTSybLtJLJelnuKqOg1g9YTGYdIJ5ISDjeutTTbXWKJyvVcyBPgOG5TXaXjoR3lCQCzRJrrtUyT9ynoQOWPDAixWMahoBSU+fsvSQRCYrZVTzkgQh5JaCtXr1a/H6/LFmyJDPN6/XK/PnzZfny5e0ENAhkt956a4dOMzTSJYQMTGjA1mqfeJ3WLtMsv/5qrZx9+vFSVYkzLQbdEZDNG0WSH8r65Y9J9bJ/indmqkwR5Y/jR7l1ZBMMxzJiWkXLJUYgHFPBDWPll9WZ+a1mo5aAhqNx8YdiMmG0W47eZ2D7AsUSCV3+/ijhRArnSSedJKtWrWIKJyGkQ3BiMRQKyb/+9S95/vnn1YlfVlam+0gY8+bN45rrA0gu3O6rlDJHMdcjIaRLEnBydSNohdtOy4hZnYhdLZfoQdaxxDWwNIaaZcX2z3UAOKSmFU+S6aUpQW2cp1xLFUnumIxGcRp3lHriPdIYbtIedBajRUU0uNMGo9TTaLaK0VsmJnexhg6gvFNDB0J+MaK004byzqHd3slYVOKxBok116mwh8TRoSSvBLSKigq9HDeudaPv8vJy2b69pWdSFhMnTtSRzZ133qmCGso6cwFv4kAgkNNjRypwAWZfkuG7nXyBqHy9rVEkadARCnXcHyHg98tZpx0vdbUpcUvFs9SV1P3N9Xr/cy/9R5yuzlMxce5lfKlNh0hp5rma/FGpqAtIZV1AKuqCUlEbkOqGoERiCS0tBSjx/ObB0yUWjUhsR7BQvxMKxySOPgfhkCTiff+B4eepMOB2KgzybTs5nc5+eR673S5HH320DjhW4dKHmHb//ffrftGxxx6r98HRSgghI13kirYRq3aIWhGJdipotRa3sh+TnpadXJnvje5RIpga1qzrqds2s0XMRovUBOpkQ8OWVn+XPxKQz6rW6ABwR00rmZRxqE30jh20Xl7DEZgMsE7TLuhMqWfYl1Xq6VGHmt1iH7BST5RumpxeHYlwUGIaOlArCV+DiMmcCh1ocdCNdPJqLaR3cNv2OoMg1hNH2YMPPigPP/ywNtjF2dhciEaj6v4gvWfDhg1cbcN4O0Gc2lYXlVAkIV6nSWq6mPfF556W6qqUIN4RiURc73/g/rvkyGOW5bQ8+JaYVIxhFJnulkTCJY2BuNT7YlLvi8u4Uov4Gytk/QCbUYORhJgMIqZwZb/arfl5Kgy4nQqDfNlOA1Fq6Xa75YQTTtDR0NCgYhp6Kd5xxx0aRvLkk0/2+2sSQkh/gvTC7h1anbu1UuWNHc9TKM3w0ci/nbhlTt+2dimAtbpubj9Pbxxj8URc+3Stq9+kY339Zk2WTIPrq6q/0qHLbbLIlKIJKqbBpTa5aLxOI/1U6qmpnjVS6U/qdnVbnOKxuzWQwDZApZ5weFltDkl6SyUeQOhAnSSCzTiAE4PNOeQllENNXgloOKOa7oWWvg7Q58Ph6NyqB0fKTTfdJLfffrtccMEFcu655+a8DBaLRWbOnJnz40ciED5xcDJ16tQutxMp3O0UjydkY4VPSo0hKSuyddn3DLz15r92lG12wf1336pi97HHndSlEy2fQX82r8siMyYW9fm5IODfd999ennWWWdpCTvJT/i9VxiMtO0EBz0cabhEKMnWrVuHepEIIcMEHMx3Lmh11nerJwJYVGKFInJliVK2jEjVjaDVct1iTj+m/fx43u72rQcLuMkmF0/Q8Y1pe6u4WdFc3SKmQVTbLL6IPzM/3Gpf1W3QIV+LmAxGmVQ0PtNHbWrJxIy7ivR2Wxi1jNMpDnVSRtKlnqEGsRjM4rDapdjm1ZJPlHr2d/9kg8kiZk+JmNxFWt6J0s64r0FiTbVisNrEaEXowMgr580rAS1dullVVSWTJ0/OTMftuXPndvgYHGjCcYaUzp/97Gfy3e9+t0/LgIP+/iqxGGng4ITrbvhtJ4hgW6p80hRMyLjR3h71+qqrrelWPEuXev7u//1c7rz1BnnwkX/IjJaeaIWEP5yUIq+7X977OHmQdtviJAI/T/kPv/cKgzT9XEEAAF4kSURBVOG8ndD+4sUXX1TX2SeffKKOtEMOOUS+//3vy7777jvUi1dQ4EDx86q1srrmay2XSZN9ht+gzQWky/syU1ruazXHjju7uK/Naxk6eO707azn69F9bZap1aPaLEBHr9+zZWv/fNnzt1/aju8zdLIOW91Gw+se3Ne71+9+e+ljOniuztZNV+uk423Tfhv2ZNmynVzNAZ/URhrE1LhFxGfYUYqYaUTfWtCKdlW+GItIPBmXfMeQEbl6IG61cWp1LIjtuG7OI5FrMIF7bbx3jI79pizS/fvqQJ2sr0s51DAaQk2Z+ePJhJaBYsj6t/V9PsE7JlPyifJP9FUjvd0ObUs9oxKKhmRzyKcilsNkU2caHGoQ1PrTBYhSUpPDoyNRNLpFSEOvtAZ9baPNpY3+Rwp5JaBBJMOO33vvvZcR0JqamuSLL76QM888s8PHQDRDucL111/fLmSAENJ3ahpCsq3GJ0UuW48b5Y8aXS5bNm/skYgGamuqNXDg5deXi8vVOkgg30kkRayW/jn7ghCB008/XTZu3MgQAUJIp1RWVqpgBuHs448/VnHwoIMOkvPPP1+Ty9u2wiA948UvX5f7VzzG1UWGF5WSV0BQaSdQdVB22LEI1lmJY4uTy2hmYuRAbz+DQZM5MRZP2k2n1QcbU2JaXcqlBoEtDdI+tzRV6Hhz4/s6bax7dCtBDcmfpHdAIEuLZCi7hchd5auRymRSbGakeroyqZ4Qh/ur1NOIJv7F5WL2lkk80KyOtHigUSQY1/ROgxWhA8NbaM4rAQ07fBDKrrvuOiktLZUJEybItddeK2PHjpXDDjtMyxHq6urE4/GoOwN9PdA0FyLaXnvtJdXVO9L40vMQQnKnyR+RTZVNYjObxGbteYPQE046TVZ8mPqR7An4bCOt89mnH5fTzsi9BHtoSGpgQX8A6zUagDc3N/e7DZsQMjyAyL5y5UrtD3vggQfKn//8Z73sKJGc9I6envQhZCS4XVqVH3YiZNm6EbQ6dHJR5Bp2lDiKZA/HzrLH+J31dlO4WXunQVBDyWeFr6rV/BW+ah3vbP5Qb49ylmQENQw833AXYfq77LZtqWd9qFFDIaxI9bQ6pMjm6ddST4PRJGZ3sZhcRZIMByQWaJR4c4M601D6abSjvHN4hkvklYAGLr74YonFYnL55ZdrTDvSNO+55x4V17Zs2aJlCVdffbWceOKJWrYJ/vjHP+rIJj0PIST3dMlNFU0Sj6NEsXcHZktPOEVuuemP6iyDONYT8EP55OOPFJSAhoMt/L731JlHCCF9ZcWKFWIymbRfK04q/vWvf9XR2ffqAw880OPnTiQScsstt8hjjz2mFQAIPbjiiitkypQp3T722WeflZ/+9Kfy2muvtUpIP/jgg9v1YjvuuOP0ZGm+cdSsg/TAbU3NOnFZHBn3ROoy69+MzpY1tWViWwku/XhctH6uts/X5r5Wz9fVfS3Pm3mZ1kvQ7X2ZZetomVo/Jnv+dve1ER87uq/da3Twt3S5TtotW3frpovtlV7KTu7L/nvarbde3tdWl+3Rest6v3R1X9t1k3J3pcQqk8EkIV9QRpWUigNNwXvQiF4FMXPqsRQwSK4gNXLh2Pk6QCASlPUNm1N91Oo2ydbmChV60tQE6nUs37pSb8ORlu6hhku43fh+zK3UEyXYwWhQmkKpk/OYju2DMloEEZj7mKxpQKm83SVWu0sS3lGSCDRLrLlW4oGm1H1Wh7rWhhN5J6Bhp/DSSy/V0RbskK1Zk4rQBffee+8gLx0hI4NYPCGbKpulORCRUUW9b7yNMkz0NDvjm0ultqZntQPYiaytbn2GKt9JJJL6Y9RfAhoOXvEdt23bNpkzZ06/PCchZHiBE4s9dUz11lF12223yaOPPqonIceMGaNVAOedd56esOyqLBQC2W9/+9t20xFogO+zO++8UxYsWJCZnq8VAvg+36l8jtgtdilzFA/14hDSJ2BEWLdunUyfPj1vP3NkZAB31ILy2TrSSZ4bG7a2hBJskk0N21r12GsMNcuK7Z/rABB7phVP0pRPCGrjPOW9ShYdyaRF8nSpJ9Z9RXPqeEtLPW1u8Vhd/VLqaTRbxegtE5O7WEMHYijv9DdILOgTI8o7bSjvLPztlncCGiFkaMEB19Zqn9Q0BKXMm3sdu7dsohxw7i3y1cf/kjVv3i+RcLDL+fE6ZaPLpZCIJZJiNhrE3E8lnHDfPvPMM3odfYwIIaQtDz300ICsFISY4MQkTmCiJBTccMMN+l2EXrOd9ZmF8I/HQCB79913W923du1a/U3ZfffdmSpMCCFEgQtqzqjpOkA0HpPNjdsyoQQIIECT/DT+SEA+q1qjI/149E5LO9QmesdqGSPpGqwjiJEYcACGY2GpDzRIrb9Oy7SdFrt47R5xmh26jnMt9TQYTWJyenUkwqMlFmiSeHOtJHwNIkaTGO0uMfTR+TaUFO6SE0IGhOr6oGxHaIDbJqYcnVW+QETuevpTiSYssv9hJ8uJB86Q3/76p10+BgdZJ558uhQS8XhC11F/OdAgIk6aNEn8fj+t6oSQQWX16tX63bNkyZLMNK/XK/Pnz5fly5d3KqDdcccdmoh+4YUXthPQ4KgdPXo0xTNCCCGdYjGZU+6y0skZp9TWpoqMoIZ+anBOpcH1VdVf6Ug93iJTiiakeqiVTpbJReP7NYVyuJZ6ak80iz1T6umPBqUh3CwmQ/+VehpRPm5zSNJbKvGAT2K+OkkEm3H2TQw2pxitheeOpYBGCMnQ6AvL5spmcVgtYrPkdiYnGkvIPc9+LjWNISn12uV7S3cSo8yW22+5rtOeaCjdLhs1Wo5bdnJBbQ30h7PbTGIy9k+jU4vFIqeddpqsWrVKrxNCyGBRUVGhl+PGjWs1vby8XLZv397hYz755BN1rT3++OOaDNoWONCQEHrRRRdp7zYERKE/7dlnn53zmW2cbAkEAjJQBMJBiYTCEjKEBuw1CBkMQqFwq0tCColye5mUjyuTJeN2k0QyIZX+GtnYuEU2NGyVDY1bxB/d8TsAt9pXdRt0yNeiAtAEz1iZWjRRphZPlEne8ZmeYKRzrGIWq8EssURc/EG/1Dc34Oy+lna6LE5xW50aQoDSz5ww2STpHSNJm1fi/kZJBhol0VQnBrMtleDZzX5BIhyWRDAoJtPA7QNgn6U7KKARQpRgS2gALL0uR27iDR778EurZcP2JnHYzHL+sp3E48KXrFV7op19+vGatgmnVaoBf+oS4hnuR++0QiKWSIiti75AhBBSKASDqTL7tr3OkO7Z2NjYbn6IWAgNwJg6dWqHAtqXX36pqcJHH320OtQ++OADDQ/A811yySU5LSfcbjjJMFAE4kHZHqqRenPtgL0GIYPJtm2tQzwIKVTKpVjKHcWyyD5fmmI+qQjXSGW4Vi/98R2tYuLJhGxq2qbjjc3vC05zl1qKZaytTMbYRskYW5nYTRTUenpsF0vGJJKI6nWL0SQ2o02cJrvYjFZN+cy5b1o8KoZISAzhajFGQyIGkyQhdHbidjOEmiTeEJak3SMDBcKTuoMCGiFEXWObKprFF4zmFBqQ5p9vrZePv6xWR9a3j50vY0pdmftmzJwtL7++XJ59+nFN20RgAHqeoWwTzrNCE8/SDjSblT0XCCGFT7rJOHqhZTccD4fD4nC0/134/e9/r8IZXLOdcd999+nj3e7U9zvCUVAmevvtt6srLRcXGty5SCAdKJrCPrE0ODSNk5BCBs4ziGfjx08Qu51iARneNISa1JmG/mm4rA3WZ+5DnE5ttEHH576vdVq5s0zdaVPgUiuaKF5b4R2HDDYwPUQTMe2dhkuzwSxWi1W8Vrc4LeibZhdzDr3okom4JEI+7ZGG8s5kPCYGm0MMlta9uBO+ejGPniwmd4kMJRTQCBnhIElya1Wz1DYGpazIkfNZhLc/2Sb/+mCzXj/1sDkya1L7LzeIZKedca6O4QBi5C2m/hPQ4Ky4//779YBzIA8QCSGkLenSzaqqKpk8OdWHJn177ty57eZ/4okn1K2222676e10ef6xxx4rS5culSuvvFLFrrbl6LNnz1b3GlxoJSW93wnGb1RPSixyJWaMizVkY2ohGTZAPGMKJxnujLXbZWxxuSyZsrvebgo3a++0dXXoo7ZZKnyp5Mk0VYFaHe9vW6m3RzlLMqEEGDiJ0pdEyuGKQ/9NOcBQ6qlBBNEmqY81i91kFY/NLW6bq/elnm6PJMvGSjIcaAkdqJdEJCAGJHvanRpMEIvaxOZwiHkA9wF6AgU0QkY4lXV+2V4bkGKEBuTYy2vVhjp54v++1OtHLJkii+aN6XL+cCQujf6weJxWLfUsZPorgTN9Zqe6ujpznRBCBguIZHCKvffeexkBrampSb744gs588wz283/8ssvt7q9cuVKTeO86667ZMaMGZrOeeihh8opp5wi3//+9zPzffrppzJq1KicxDNCCCGkJ6AB/sKx83WAQCQo6xs2p0IJ6jbJ1uYKLUlMUxOo17F8a0pQK7J7VEhLi2rlrjIKam0wG01izqR6JiQci0hNoE6q/bViRaqn1aHbAUEFmupp6PqYCYKlwe4Sq90lCW+ZJALNEmuulXigSctwJZnIizd/YR+5EkL6RH1zSLZW+8VphwU3NyfV1mqfPPDPLySRFNlz3hg5YvGUbh/THIxIaZFd/IGo+EJRKXHZ+lWIGgzwo4sEm/5K4ARms1kPNjdt2qTXCSFksICbDEIZepSh2f+ECRPk2muvlbFjx8phhx2mDrO6ujrxeDzqZpkyZUqHIQTjx4+XsrIyvX7EEUfI3XffraWeCxYskHfeeUdv/+pXv+KGJYQQMmhAzFlQPltHOslzY8NWWd+S9LmpYZvEkzuCzhpDzbJi++c6AESiacWTUmmhJZNlnKe8W0FoJGE0GDOpnlrqGY+KL+KXhmCTmIwmFdCK7F5xodTT0n2ppxHOM2+ZmNzFkgj5JablnT7IbDLU8AiNkBFKIBTVvmfAZc8tNKChOSx/+cenEo7GZebEYjn10Nndnp1BySiaEYwpcYpltFEqav1S0xASi8WojjSIUoON3++TZ556TJ564lGpqa6SUaPL5YSTTpOlJ5zSaW829D8zmYxiNvXf8qIfEA400cw714Q6QgjJlYsvvlhisZhcfvnlEgqFZNGiRXLPPfeouLZlyxY55JBD5Oqrr9YkzZ7wk5/8RLxer1x//fUqsE2cOFHFs29+85vcSIQQQoYMCDpzRk3XAaLxmGxu3KZiGgZ6qUEESuOPBOSzqjU60o9HDzV1qZVOlonecTn1/xqOGAwGsZqtOkAsEVPBcmvTdhXaUNrpsaZKPZ1me2a+Dp/LaBKT06sjgcABc27HrP2JIck6oVZlBWDnnXceui1SgKCXCRKx5s2bN6B9SUj/bSeL1SZfbWmQxuZwzn3PQuGY3PzYx7Ktxi9jSp1yyTd3E4e9e03eH4zqyYP508rEYjaqoAYnHJ6n2R8Z9LLOr79a22k6aPmYsZoOigCEjv7+aDwhO83A39F/P5j8PBUG3E6FAbfT8GIw9tOaQs3yVf1GKXMUD9hrEDIYQARft26dTJ8+nT3QCOkl8URctjZVZAQ19FODCNQZFpNFphRNSPVQK50sk4vG6zTSmnSpJ9YlCmiR4gl3YFFWqWe+956jA42QERka4JP6prAmbubyJRVPJOWB579Q0cvjtMj5x+/cI/EMBMNRGT/ao+IZMBoNKuJBOKusC0hVXUD8oaj2ZOvP8sjOnGcQz2prWvcdS19iOu5HemhbJ1osnmhxoPXfMqJn0Ndffy2VlZWaVkcIIYQQQggZXFB2OLl4go5vTNtbhZ+K5uoWMS0VTIASxTRwq31Vt0GHfC1iMhhlUtH4TB+1qSUTVRwa6RjblHpG4lFpDvukPtioDj440jx2j5Z6Yh5sh3yDAhohI4yq+oBUNkSl2GNT8aq34MvuiX99Kas31qsI9r2lO2k/s54QjydUsCtyt7fqogfbpDEeKfHYVJiraxz4sk6UbcJ51vnyxvX+Z59+vF1yaDASlwmjc08t7QiUTj355JN6fZ999um35yWEEEIIIYTkLvyM947Rsd+URangr0CdBhKkXWoNoabM/PFkQstAMWT922IQg0zwjsmEEkwrmaR91UYyBoNByznTaZ0oow3Hw9LcXCEGMYrdbBWvza3ryWFxaDBBPkABjZARRHMwLsGagBS5XWLNsezwXx9ulnc+264tHM86ap5MHuvt8WMD4Zi4HBZxOzr/AnQ7rTJzokXqvCHZXuOTmoageJ1WsQ9AWSd6nqXLNTsD9z/5+COtBDSkiFrNRinroXDYU/BaaNiNHmj5bl8mhBBCCCFkJIL9dCRzYiyetJtOg4tKxbS6lEsNAluapCRlS1OFjjc3vq/TxrhHy/SSSRmXGpI/RzIWk1kHiCcSKqZV+Wsl4a8Rm9EqLqtDyt2jxGlxDOlyUkAjZASFBlQ1RGWi29Djcsu2rFhbJc/9Z71eX3bgDNl5xqhePT4cicmYUq+WPnYFnHGjih3ide0o6/QNQFknAgO6awOJ+2urq9qliJaXOFUM7E8sFoucddZZ2qsO1wkhhBBCCCH5T4mjSPZw7Cx7jE/16WwKN2vvNAhqKPms8LU+nqj0Vet4Z/NHenuUsyTjUMPA843UE+omo1GcRoeKZelSz9pAg3jtHgpohJCBJxKNy+ZKnza9hyiVC+u2NcrDL63W6/vvOkEO2G1irx4fiyXEaDL26vXTZZ0oN91e45faxpDYLCbtu9YfPyhI29yyeWO3DrSy0eWt/g6d1s/uM0IIIYQQQsjwwGvzyMKx83WAQCQo6xs2p/qo1W2Src0Vksg6BqkJ1OtYvnWl3oYjLe1OwyXcbiNRULOaLFLsKNL16TAP/fEXHWiEDGMgDIUicRWfGnwRcTtyK9usbgjKvc98JrF4UnaaXibLDpjR6+dAMIDHYRGnvffOKvRBc060SGlLWWdVQ0CKnLY+l3WecNJpsuLDlI26q3V44smnZ243ByLqhMMyEUIIIWR4kgkWavk3dbOjaS3XUw9quS8zpdVJOp2m/3c+rdPX6+RxGXBc3XIbB9mRcFgC8aA0R/wSM8a1BxP6OOE+I24ZMPSa9podiQfmhAwmSJtcUD5bB0AS5caGrS2hBJtkU8M2iSfjmfkbQ82yYvvnOgB6gU0rnqQpnxDUxnnK9TM9XDEbTeKxusVsMstbGz+QmkCdjHaWyn5T99L7hyqUgQIaIcMMJGSiXNMfjEpDc1gvw9G4Nuf3NfR+58gXjMpdT38q/lBM3WBnHjUvp/ABLMPEMZ6cHgtMLWWdHpdVSzor+6Gsc+kJp8gtN/1R0zYRGNDuNU0mKRs1Wo5bdnJm3WKMLnHk/Hd0RTQalb/97W/aA23mzJn9/vyEEELIyBOVUsoSLiAW6ZPgQrJvG/SxhvRjIShlP0nq/5ZbhsxlZp7M/C1TWubXqZlJEK6Mgv933DagO3lqesujVdRqWdbU41sErvQrpAUwY9Zjshcwif2VuPhNfqkz1YrL4hSL2aJJ30gSxGVMt0kydVvXGdZt1orT1ZJMiWxZAhuWMyW8tYhxWffpUrUsKyGkeyAAzRk1XUe6if7mxm2ZUAIEECDdM40/EpDPqtboSD9+avHElEutdLJM9I5T0Wk4YDaapMxZKk+vekmeXfNqq/Vw38ePyXFzDpUT5x81JMECFNAIGSYlmnB4Nfuj0ugLSSAc1x0kBAXApVXktkkoFOr180ZjCbn32c+0kT8EOCRuooQyF/EsXXrZV2z9WNbpcrnlwUf+IWeffrymbaYDBdKXEM9wP+YDvmBEPC6LFOVYBtsdeM1t27ZlrhNCCMl/KCr1l6iUmr+/RaXsZWt9e8cyZpY6+3bWMra/nZ63h8+V+fsHz+kVMLmk3lYrU4omiNOZSvuDYIb3a/YlBLRWt1vEtPR9sXhMEwUhymFaLBFL3Q9BTkXNlvlxS7W4hP7taYmyReXMEt7SolxKgOtMkBvOzhpCOgIN9NVdVjpZb+Mzt7WpIiOooZ8aXGtpcH11zdc6Uo+36Odde6iVTpbJReN1WiHisbpVPHvyixfa3QcxDdPxfXH8vMMH3YlGAY2QAgQ7KsFwTPzBmDT6QyqcoVQT+ykOq1kFnr4228cO1CMvr5b125rEbjXJ+ct2zrl/mg9lj167OPoxSTO7rHNbjU/LTHNJ65wxc7a8/PpyefbpxzVtE4EB6HmGsk04z9LiGdYHhEqId92FIOSK2WyWZcuWyZYtW/Q6IYSQwQfCTV2wsU9OpdZTOxGVdugqFJXoWhqc9zZEKYOISfrmUulOhOtoeixLgIP4BnEgLtmuuBZhDo9pEeYyIlxyhxiXdsV1KMhlylN3uOEGU7QkpD8xGU0yuXiCjm9M21s/KxXN1S1iWiqYwBfxtxKWvqrboEO+FjEZjDKpaHymj9rUkolDVvbYGyxGi5ZtPrv6lS7ne2bNKyqgDTY8QiOkgIBohh5cdU0h8QeiEo7FxWI0qmhUVmTpV9v8C2+vlxVrq7VU8TvHLZCxZa6cnqfBF9YwgHFlrn7fgcku66ysDUhVfW5lnRDJTjvjXB2dEQhGtX8bnHgDhdFolFmzZkksFtPrhBBCBhckfk0uHq/XR4pTiZDegvemydD3UrEd7rW2LrguHHIQ35JxiavoFm+5Htf7cRlrccGlhbiOylPTulyqJDXlcNzRF47lqSQ/gUg83jtGx35TFun7ujpQp4EEaZdaQ6gpMz+coygDxZD1b+vvygTvmEwowbSSSdpXLR97xb218QOJJmJdzgfB8D8b35dDZ+wvgwkFNELynJCKZlGpaw6Jzx9R0cxqMonDnirNHAje+XS7vLp8s14/9dDZMmtSSU7P0+SP6I7J1PHenN1rPQElnJPHeqTEa5NtNX6pawyJHWWd/fiagXBMpo33isU8PHoLEEIIaQ/Oepc6irlqCBkEMoKV3urb/tWO8tPWl5DSWk/vY3mqLviOAtVOy1PbOuMybjgj+8SRfgHvKyRzYiyetJtOqw82psS0upRLDQJbGrintzRV6HhzYypEbYx7tEwvmZRxqSH5c6hJJpMaGNATkFqKzy/ceoMFBTRC8lQ0Q/P++uaQilCRSFzMZqM4bZYBE83SrN5QJ4//a61eP2LxFNlr/ticyzaxowLRqcQzOJHDKOucOdEidZ6QbK1ulprGoJR67X3eUQmGYmK3mQb878AO26ZNm6SmpkavE0IIIYSQ7oFQlcp3GqTy1CxxTp1vKsKlnHEJlKfqYxMpF40+Jh3ckLps/aKpf9JCXKfBDSxPJd1Q4iiSPRw7yx7jd9bbTeFm7Z0GQQ0lnxW+qlbzV/qqdbyz+SO9PcpZknGoYeD5BtsNbTAYZJSztEfzYnkHUzwDFNAIyRNCEfQ0axHNfBFtvG82GtVpht5eg/Hlta3aJ/c//4UkkiJ7zhsjRyyZktPzINAgEkvItPFFUlbkkMEEZZ1IycR627i9UWohonnsfepbhrLQCaPdve6v1ltQuvn3v/9dry9evHhAX4sQQgghhAxweWoPe8Tt6AWXCgKDGw494roqT830iUt2U57aYZ+4ll5xWWIdGX54bR5ZOHa+DhCIBGV9w+ZUH7W6TbK1uUJF3WxHF8byrSv1NhxpaXcaLstdZQP+XsEy7jtlT7n/48dapW+2BQEJ+03ZSwYbCmiEDCEQyeDUamiOaBhAOAILqlGcdrO6qQbzxwy9yv7yj890GWZOLNLSzVxeH33aIAZOHVekQtZQ4XZYZMbEYtlU0awpokjtRCppLtvIYjZKadHAu+iwvsvKyiQcDnNHhhBCCCGkQNnhGut7T9vuylPbinMa0IDS1BZHXLpP3A6RLu2GUxkuI/YB3DYbzWIxmrWkHdf7s8cyGfr+YgvKZ+tIJ3lubNjaEkqwSTY1bNP3S5rGULOs2P65DuCyOmVa8aRUWmjJZBnnKe/3xNxoIqrl1cfNObTDFM40S+ccJkMBBTRCBhkkOaI8s6E5LI2+sApO5rRoVjS4olkaCF53/+MzFdHKS5zy7WMX5JTiqS66UESmjPVK+RCKZ2nsVrO64Kxmo2yv9YvbYe11EihCG0YXO1WQG2gsFot85zvfkVWrVul1QgghhBAysumv8tS0wJYd1pDtgoPoBsdPMBqSYCwk4VhE/ImA3qfOPKNJhTWLyawuPbrWCh+kcs4ZNV0HiMZjsrlxWyaUAAEE2S4wfyQgn1Wt0ZF+/NTiiSmXWulkmegdJ+Z+KKlsjvhk2bwj1FT5zJpXWy0DnGcQz06Yf6RYTYN/vEQBjZBBIBqD0yyqAlVaNMPZHKQ6ji52DOkPUDyRlAefXyVbq33idlrk/GU76XLl4tSC2DSp3KOJnfnyowr32OSxXrFYjLKl0iexeELdfT0hFkvoF/eo4sHp4UYIIYQQQshAoE6hHu6ea6hCPCaRRFRFFYhpwWhQQvGwBCIhLTFNP6fZBGHNom41VNKQwgXiqLrLSifrbTgXtzZVZAS19fWb1bWWBtdX13ytI/V4i0wpmpDqoVY6WSYXjddpvQU9BWsDdXLUrINk6dzD5T8bl0ttsF5GOUpkv6mpss2hEM8ABTRCBohoLCG+YEQam8MqnAXDce1F4LJZtC9YPtihcUbpyf/7UlZtqFOh6XtLd8qpZ1kkFldhcGK5R8aPdueNeJbGaDTI+FFusVnMsrGiSfvMFbtt3S4nBMFij73HghshhBBCCCGFDoQxq9kq+C8bCCpwA0USMb2EgBKMBCWciKprLR2ClXarsQy0sMF2nFw8Qcc3pu2twmpFc3WLmJYKJvBF/Jn58Z74qm6DDvlaxGQwyqSi8Zk+alNLJqprraciWn2oUd9HiyYulFA0rD3Zevr4gYICGiH9CNxNcJo1+sNaoon0RpzpcdrMUlbU9zTI/ub1j7bI259u15NRZx45T0svewtcWvhbx49yyYRyt4pV+YgmuhQ7VCjcVNEktU0hDRfobHnhzMNAH7fB+pui0aj87//+r/j9fpk5c+agvCYhhBBCCCE9FVQw2tZmqFtNhbXojjLQaPsyUJT3aY81loEWrLA63jtGx35TFul2rQ7UaSBB2qXWEGrKzI+yYJSBYsj6tzW0YoJ3TCaUYFrJJO2r1hVIsm0MNUldsFGsZos4LENbGUQBjXSLz+eTv/3tb/LAAw9IZWWljBkzRs455xw544wzxO12j+g1GI8nJBiJSyiM3l+pvmbBMGq0Ddprq9TbuUAz1Hy8tlqeeXOdXj/+gBmyy8xROQmGdc0hLdmcNMajCZj5TpHbpuECG7c3SU1TKqGzo35vcA96XBYpcg2e+ww/Qhs3bsxcJ4QQQgghJN9Rp5nJLE5xdFgGCnENYlooGtIyUH8kmGpWn0yJMhDUIKyxDLSwMBgMmsyJsXjSbjqtPtiYEtPqUi41CGxpEFKxpalCx5sb39dpY9yjZXrJpIxLDS6zfIYCGumS1atXyyGHHCLbt2/PHNSvX79e3n33Xbnyyivltddek8mTUzXSIyUAINQimKG8D2EA6P0VR68so0EcVrOUegbPsZQrG7Y1yt9eWqXX9991ghyw24RePwfcWXVNIQ0LUPEsh9CBoQI93jShs7JZqusC4nXbxGbZ0fASiUZIIx3sv8tsNssxxxwjW7du1euEEEIIIYQM1zLQSByiWlj7q+F2IBaSZHYZqCmVCGpiGmjBUOIokj0cO8se43fW203hZu2dBkENJZ8VvqpW81f6qnW8s/kjvT3KWZJxqGHg+fKpPRCP0EiXzjOIZ3CdZbth0tcxHfevWLFiWK7FZIuIEozEtBSzKRDRS4ho8WRSLEajWK0m8TqtOSVWDhW1jSG5+9kvJBZPyoLpZbLsgBm9/lJKqHgW1JLIKeO8WhZZaFgtJpk2zitWs0m2VfskbjdnwhMCoZi4HBYp8Qxujb3RaJT58+enYs/ZhJUQQgghhIyAMlAcdyGYAIEF6TLQQCSoPdZCsYjEOiwDtfRL4iMZWLw2jywcO18HwHZd37A51UetbpNsba5Q80KamkC9juVbV+ptONIgpI3zjJGJ3rFDvrkooJFOQdkmnGedlZLF43G9Hz2b9t5772FRjqnuskhM/MGYNPnDKqBFYjgLklShBS4ll92S9w6zzghFEvLk82vEH4zKxHK3nHXUvF7/LfiCQ/+wYo+tRTwr3B8uuMuwHixmg2yu8kk0npAil00CoahMLfC/jRBCCCGEkEIAwhgEMYxMGagrVQYKUS3lWEuVgaZ6q6EMNNBSBooTz4ZUaAHLQPMep9UhC8pn6wAQSTc2bG0JJdgkmxq2pbZrC42hZlmx/XMd2O4XLDpzCJeeAhppIyAhOTLacnn3Pff1aP389a9/LUgBLRqLazJmqhwzqj2vsssxIZahj5nXZcwr22iuYJu+vKJRahqj6qz63vE7tSpb7AkQU+sag9pHbNq4ol4/Ph/BD+44JHRazdoXrbI+IA6bSfvXDTZILoIo3dDQkEkxIoQQQgghZKSWgdrMVh1ty0DRVy0trGXKQOOty0DNpha3WouwNhyO6YYbdrNN5oyargNAMN3cuC0TSoAAAmxngBCCoYYOtBFGLC2S6YjrJRxXWpoYS2iiIuaBy2jb9opuG5nj/qqq1nXMhVCOif5lgZZyzERSxGw0aEmf12EV8xCWI6KvGAQ9bJNQOLW86eu6nfS+lOiHbTemzKlCFnp1dVVGie35xOvrpKI+KjarSc5btrM6rXq7DuE8czut6s6y24bX1wcEM6xDiGhel21I/r5YLKaCNNhjjz0G/fUJIYQQQgjJd1AC6sDISmRsVQYaj0g4DmEtlCkDjSYCmClTBpoqAYWwVviGgOGExWSW6aWTdaTF0q1NFVLlr9Xkz6FmeB0BEwUCGIQhCCxpwQzCC8rScD0eT7aIZKn5kZyIHl5mUyo5EtfhykHa5vatm7oU0fAFVFwySpqDKVHH4Uh9KQ012UIUhDKUY0J4ikYTkK71b+zvcsxIDOsgtR5U+EqLXSp8pS7T07KFMJ3ecj1VLtp7TCaDTCr3qLA1bXyR9vbyZKVHvvjOBln5Va1g05x5+CwZV+bq9WvUN4XFZTfr86d7hQ03PE6rzJlSMmTvYbyu1+uVaDSaF58jQgghhBBCCrYMVDouAw3ArRaLiD+WLgNN9SJOO9Ug4sD9RvJDLJ1cPEHcNrdu26GGAloBoup6PJlxkKUHRJlgOCWS4X64yRAVC8xGCGSpYbWnBDNjNwfoJ5x0mqz48P1ul+WgI5fJlpqwWDbWS3F9RJ1NaMAOMQ5up8EQArAu0sIU+ns1+1GOifUQ19e3mU1it5rF6+yfckx/KCpbKps1xXFzpU82VzVLQ3NY+gs4obC8dptJkz1xqbezpkH421rtk/XbGrUEdcP2Jh2vf7RFn2NUkV2mqthlljdWbNVpByzwyMyJRb1envrmkFitRn0+bNvhzFD2PbNYLHLBBRfIqlWr9DohhAwmKB2/5ZZb5LHHHpOmpiZ1wl5xxRUyZcqUbh/77LPPyk9/+lNN5544cWJm+gsvvCA333yzbN68WaZOnSqXXnqpHHDAAQP8lxBCCCFdl4HGWtJA08JasKUMNJouA4WJJJlkGShpBQW0vBbJUsJYJNpyGWsp62sp34NIBktj2iCmIpk5JZLZLClHWV/EoqUnnCK33PRHqa2p1sCAtphMJikbNVpOPeVUqaiqVFEnHEnIZn+zVihbLUZxooeY26qOJRXULH0X1LQcM9ri9orEpNGPdMyolmjCVQdHHV7H47CI2dz3FEU4wyCQqVAGwayqWZMsQSwSlK2r35Atn/9LwoEGsTmLZdouh8is3Q8Vr9uTJXyZtCSwlRimt9PXU/en5+1NqqeWVjaGZP32JhXTIKJV1PilpjGkI83Be0yQmaNT9eO9odEXVocbnGdwaBFCCBme3HbbbfLoo4/K1VdfrS70a6+9Vs477zx57rnnxGrt/Pt/69at8tvf/rbd9HfffVcFs8suu0x7pT7++OPywx/+UJ5++mmZMWPGAP81hBBCSOek0jzbl4FGtQw0JayhDBShBaFYSPusRZM7ykDVrWZKBxewDHSkQAFtCEkkskSytJssuqO8D9MgkiXiKOszIGBEe3VZTEYdDqtRTCbrgDm8XC63PPjIP+Ts04+XqsoKfZ10fDAuIZ7hfqfLpdPQQ8xuxw62Ve9HOSJKFxt9OwQ1iGhoQK+Cmj0lqPWkHDPc0v+rdTlmXJJiULcWnqfYY1HxrC9AmNtatUMow2VVfbDDec2Ravn3Q7+Q5saazDoJNlXJR9vXyJaPn9R1M2NmKl1kIMFrjyp26Fg0b4xOQ5+3DRVwpDXKxu3NMqHcLYfuMU42bNzQq+eGkw+gzxq2GyGEkOFJJBKRe++9VwWvAw88UKfdcMMNsv/++8srr7wixxxzTKeuNTxmwYIFKphl85e//EUOO+wwOfPMVGLWz3/+c1mxYoU88MADcuWVVw7CX0UIIYT0HD2mNVl0tP2tg7CG3mpwqIXicKuFMmWgsWRcDFlloGlxjWWgww8KaIMMBJrquoAEWhrDo8QwFoOTLGUjg/yjpZZmo1jNJnHajCoKDVU/JAhAL7++XJ59+nF58vFHpLa6SspGl8uJJ58uxy07WUW2UGiHyymNlk1aTC0CWYugFk1IIByTBl9Y/04IbhDSirIcapiWCTboqhzTgnLMvomHeJ1t1anySxXMKn1SUefPOPqyQWolGvWnB1qIHX/kPhLw1ev96T5x6Uu49iA8Yt1hHQ02ECfnTS3Vkaaj7dQVvmBUYomkTJ/glZIhSKQciSBE4KmnnpLm5maZNWvWUC8OIWQEsXr1avH7/bJkyZLMNPRknD9/vixfvrxTAe2OO+7Qvo0XXnhhKwENBxsfffSRus+yWbx4sQpyhBBCSKEAYcxm7KYMFG61WCglrMVj4o+GJCEJFdZ2pIEiuGBwWhyRgYEC2iCTLgdEnyUttTSbxWUziKkXJXuDDQSg0844V0euqPBlNelIp0Ii6AACWX1zWAyGZMrBZjXrdJRjQotCny9MdzssYulDOSacfttr/RmhDJe4DRdgW4pc1h1iWblbJo7xtCtdfOSv96krrzNQ8or7ITz2Zb0NFQicgNg7bbxXyop2NOEkAwsOOL/66qvMdUIIGSwqKlK/aePGjWs1vby8XLZv397hYz755BN1raE0s7KystV96KEWCARk7NixPX4+QgghZDiWgSK0IIw00GhIoklUUSXFiEoqloEWHBTQhgDozcUjvBwOAQbppvgZQU2TKONantqXcky4+SrrIJa1lGJWNsu2Gp+Ww7YFDfEnq1jm1hRLiGY9KVV86olHM2WbnYH74dorNAFNwygiMV0v5SXOoV6cEQX6Ch5++OF6cInrhBAyWASDqXYFbXud2Ww2aWxsbDc/xDGEBmAgHKCtgJZ2PXf0fOFw7qE7+N3FaxNCevaZTl8SQgYXrbgSi1iNFvHYnJKwIg002iKuxSTcUgYaiAS00krTQA0iJoOxpa9aqrcay0BThEMh/T4LJAeuJ7fT2f2xLwU0kj+CGpro91JXhPBWXR/MCGVw96GHGfqvtQUlotlCGQSiYo8tJwttTXVVl+JZprl/dZUUEiidhStw8liPjEWdKhlUIJotXLhQDzgpoBFCBhO73Z7phZa+DiB2ORztnci///3vVTg77bTTOnw+CGXp58ums+frKSgXRVIxIaRnbNjQu/63hJDBJZ5MSCwZ03JQiGjhRFQiyYjeTiRRBIqu36k0UYhrJoNJTPCvjbAyUF8sIKEqv3jMA3eMivTx7qCARgqGdNpkdoP/zVU+LfdsC3qvTSx3Z4Qy7VtWZO+3L5pRo8tly+aN3TrQ0C+uUEDpbHMgIhPLU+LZSPtSJoSQkUy6dLOqqkomT56cmY7bc+fObTf/E088oWL/brvtprfTad3HHnusLF26VFM5cSYXj88Gt9uWdfYGi8UiM2fOzPnxhIwU4NSAeAahuy+iNSFk8MmUgbaUgiK8IBgLSzgekVg8poKbJFPHm6neaim3mmkYp4HWBxtlUtF4KbEXDelyUEAjGfGkyR+RRn9Ymny4jGjzfmgo6FuGPmQQpXBpNRvFgtstl8lETPyhVHqoxZLol35u+NJoaA5nhLJNlT7ZUtmsIQRtQQrnhNGtxbLRJQ51tQ0UJ5x0mqz48P1u/waELRQCCFTAth8/2q3rEr3nChGfzyd/+9vfNOEN5URjxoyRc845R8444wxxuwc/zKG34D1TU1OjIQLdORwJIaQ/gUiG78n33nsvI6Chj9kXX3yRSdHM5uWXX251e+XKlZrGedddd8mMGTN0p3733XeX999/X0455ZTMfHj+npzh7Qw8b09KLAghKSCe8TNDyPAAPZIjiVRvNU0DjYUkoKEFKcca3GvZZaDDKQ3Ulkw52J2Ood0HoIA2zIEw0uQPqyCWEsbCKpSpWOYLZy5DHbi4es3rtXqhjf+RItoituHSkr7ddpoZ09LzmqQpEMk4zHyBaLuXMJkMMmFUSixLDbeMKXXl3C8tF1A2evRxJ8nNN/5R6mqrM2fdWy+nSUrLRsvBRxwvwVBM10lmGFIHAPlCLJaQ+uaQjB/lUvdZoYpnSJA75JBDMs2pIUCtX79eU+GuvPJKee211zp0UeQTKE2677779Pquu+461ItDCBlBwE0Goey6666T0tJSmTBhglx77bXqFjvssMP0t66urk48Ho+WeE6ZMqXDEILx48dLWVmZXv/2t78t559/viZ5HnDAAepaQ/nlVVddNSR/IyGEEFLoaaB2o03sbcL14ErLFta0t1osqMmgSANNIg1UDOpQS7nVUo61fDomLRQooBUoED0gNjVBBAtABIMoFtZLFctahLJAqL1jqzMgaKGBvtdl1SRKTZ40pNxpKJNEKmMkmpBoLHUZSV9GY3qZ9ssg2RKCXF9FOQg548pcGaEMl7iN9NKBAqILQgji8aTEEgm9jLdc4j9dLgNSU21y+/2PyffPPUWqqyoygQLpy7JRo+Xevz4lbo9HHx+NJgWBn3judLpi+gsLRiOTIUtgMxra3R4o0S0eT0hdc0jGlDk1bXQwhcj+dp5BPIPrLNu5lb6O6bh/zZo1ee9Ew5mVjkRZQggZaC6++GKJxWJy+eWXawjAokWL5J577lFxbcuWLfo9evXVV8uJJ57Yo+fbb7/95A9/+IPcdtttcsMNN2jp5R133KEONUIIIYT0D3CZYYjF0a4MFO40iGqRWEQCsZC61iCwxRIxScKtJkYxm0wZx9pwLgPtDyig5RkQNFQYa+MYSwtkqTLLiDZ67ylItfS6rSqMeV02Fcdwu8jVIpbpfTaxW3NTobGTvW79Opk8eaoYTRZt4A/RLZoR2eI7prVcpgU43A5nTccyqGBW7pFxo13qSuvv9RuDiJUlkOESKlaqPWNSS1DNELFMRnHYTGKz2sRmNYoFXyxmfMFgGGThrL3lsC/XyqOPPiL333+/ijQ4U4+SwW9961sq1OCLC4JiPHvEE22mQWBLrQMdLaIdRLdkRnTbIeClljIlssG9hyTRXLYbnre2KSTlJQ6ZPMY7oMLkQIOyTTjPOit7hCCF+x9++GF1Q+QrOEi98MIL1aHRNrmOEEIGGrinUYaJ0ZaJEyfqSYjOWLx4cYf3L1u2TAchhBBCBg8cH1pNFh2dlYHCoRaOhTNloKFYWO/HcSccahajJSXOGVEGWphGi/6GAtogU10fkLWb6mXNpoYdgpiKYymxzB+IZpxc3YFyxrQIlhLCdrjHdJo7JZYhfXKg7ZnawNBkFLvdIkNVlQyRKeMaaxHKVKxqEVU0vcRo1PWGZYX4ZHNCIDNrCam5ZTqceCqimYzdOrIsXo8KMp2JMlgveD1TL3TAnohuuA7nX31zWGoag/o+wN/Qm3VV1xSUsiKHTB7r1b+5kEHPs57Ol88CGiGEEEIIIYQMdRloIBqUYCykzjV/IijJZCJ1bNtSBmoxmTURdKSVgeadgAbF85ZbbpHHHntMm9ei0ewVV1zRrtdGmvr6eo1Sf+ONN/T2kUceKb/4xS/yrlkmSsxuu/Ne+Z8/3S5hf73YnMUyccHBMmHuAWK2tk7GgWiTFsXUMdbiHsuIZS3uMad9YIQxv98nzzz1mDz1xKNSU12liZNomr/0hFPE5XIPyetBBGsljGWVV6KeGxIZSh1TzjGDOsWcVpPYLRDHWkQxo7HFQWZQV15/hB0MBN2JbtmN8isqKqWkdJQcdsxJctSxJ8m48tJMD7O267W0bJTsu//Bcta550nClJASj02mjPP0SnjLV9qWbnYE7k/36CGEEEIIIYQQ0k0ZKJxqKqy1lIFGgxKKhyUQSZWBwqViHEFloIZknkW9QTxDmRV6bCBBDw1sN2/eLM8991yHJU1nnXWWhMNhFdkguP3qV7/Snh3XXHNNr1/7008/1cudd95ZBqK5+bZt21vq7zRzVi+LSkbLL//nPpk3d27GMeZ0WIbMIvn1V2vl7NOPl6rK9n29yseMlQcf+YfMmDm7XQnn+g3rZdrUadpYuL9eb9TosfLnu/8u06bPTDU9bHGE4dJmMWq5p9WCDzqEsZQolrqemm84quEdNcrP3j433vl32Wn+fNm2ZV0X63WM3Pu3p+TQAxapO3E4sM8++2hYQFdfZ/j79957b3nrrbckX0HvoSeffFIaGxvl1FNPFa/XO9SLRDohEAhoqe28efPy7oQN2QG30/BioPbTCBmO8PuPEDJQxBPxFmEtppdaBhoJagooRLV0z+9MaEE/lIHWBRtlSvEEKXUUy1CSV0fPkUhE7r33Xu29ceCBB+o0NJ3df//95ZVXXpFjjjmm1fwrVqzQePTnn38+05AWaXvf+9735Mc//rEKcPnU3BydqzL1mS0H+r6mOrn+/31PXn59+YC4u3oDHEsQXWprqlsWMdnqEtNxfy7LiueIpR1kOpLS1NwsZ556vNTXdfx6mP7jC06T9z/8RIqLvSqKwUkGkWw4imN9bZSP7fPf/3WaPPD3l7pZrzVywTkny9q1a0Rs+d1Qv6eg7xwEtJ7Ml8/gxwaiTPo6IYQQQgghhOQTJqNJR1vrTLoMFL3VIKwhrABloGEtAw1kTB3or2Yu0DJQY765a/x+vyxZsiQzDQ4MxJ8vX7683fwffPCBjB49ulWa01577aUb4MMPP5R8am7eWaoepsMl9OzTj8tQg3I/LEuuy4reXAgE8Iei2tOtrikk1Q0BHbWNIZ2OHmVwiBV7rLL8zX9KTXXXr1dZWSEvPPekJoI67RaxmAvrAzYU76V7b/tDt+u1oiLVUH+4cMYZZ8i4ceO0AXZHYDruR7hDPoPlPOigg/Q7r7O/hRBCCCGEEELyDbPJLE6LQ4rtXhntKpPJxRNkVtk0mV02TWaWTZWpJZNkrLtcXBanBhWgDLQ+2Ch1gQZpCDaJL+JXsQ1tmvKVvHKgpfsT4UA3m/Ly8kzJWjZw4rSdF2WexcXFHc7fE6CKwvLcX9x3333dzgNB6PH//Zscu+ybMpRgGdJlfp2B+x/7+1/l0KNPyvQgC4URgBCT6rpmcTrtYjamGvR7HCaxW60Z1xguU73HUuWVTz3+SLevB+BKPPPMM2Wk05P3Enj+n8+NuPWKZpgo84ZLFZ/9duXH5eV6P+brz8/3QLBgwQJxuVzqyM33ZR3JBIPBVpckP8m37cRyX0IIIYSMJIwGo1jNVsF/XZWBIgE02FIGCtda2zLQfOk8llcCWnoHt22vM5vNpj2BOpq/o75omB990XIhGo1mSqj6gy1btvSoufn27dtk1dp1MpTAldSzRuzbZeuWTSqIWS3oPWaQiaNsYpZGMYQaxWA0SDxikIBfJNAP6wbz9ec2KVR6ur7wuRip6/Xvf/+7vPjiiyqW1dbWSllZmRx77LEaLpJdHlkIbNiwYagXgfQAbqfCIF+2E4KRCCGEEEJGOqYOykC17ZMKajsSQTW0IBoWm9kqRm0oP7TklYCWbkAP50V2M3qIYQ6Ho8P5MW9bMH+uZ3ktFovMnDlT+ouJEyfKtm3bunV1TZk8UQ7ffxcZSrAM1ZXbu13WqZMnyZEH7poppYRgg4OTqVOndrid+rpuMB8adY90erq+sA1QCj1S1ysOUBEmUohgm1VVVam4yeb0+U2u33tkcOF2IoQQQggpDAwGmHMsOpyyY/86kUQP9VgqJXSIGfolyCJdjokDyMmTJ2em4/bcuXPbzT927Fh59dVXW02DoNbQ0JBzgAA2Wn+WWHz729/WoIPu+N53vytlJUObuPfd73xHPuig11y7+b77HS0xawsOInuz7nq6br7zne+w7KUX6+v444/vUX8zrtf8A99fDz74YCZljuVe+U9vv/fI0MDtRAghhBBS2GWg+UBehQhAJHO73fLee+9lpjU1NckXX3whe+65Z7v5Fy1apH3TNm7cmJmWfuzuu+8u+UAhNTcf7GUtpHWTD/R0fV133XVcrwUMXLAMECCEEEIIIYSQ/CKvBDT0M0NTcwgAr732mqZy/vd//7c6zQ477DBND6yurpZQKKTzL1y4UIUyzPPJJ5/Iu+++K1dccYUsW7YsZwdafwNBEH8LlgfutnTZY/o6puN+zDfSlrWQ1k0+0NP1hc9LZ/MBNNTnes1P8B34ox/9SI466qgO+zsSQgghhBBCCBka8qqEE1x88cUSi8Xk8ssvV6EMLrN77rlHDybRF+iQQw6Rq6++Wk488UQVBG655Rb57W9/K+ecc46GB6BZ+C9+8QvJN2fdmjVrtKzu/vvv1/RQiBxYZrir8kkgGuxlLaR1kw/0dH11NN/o0aP183PJJZeoiEYIIYQQQgghhJCeYUjmSx5oHvDpp59meg+RnhMIBDTdkE3P8xtup8KA26kw4HYqDLidhhfcTyOk5/D7jxBChnkJJyGEjGTgvn3ppZdk5cqVep0QQgghhBBCSH6QdyWchBAyUkkkEtrPMX2dEEIIIYQQQkh+QAGNEELyBKRv7rfffhqWwiROQgghhBBCCMkfWMJJCCF5AkSzvffeW2bNmkUBjRBCCCGEEELyCApohBBCCCGEEEIIIYR0AQU0QgjJExCKjNSscDis1wkhhBBCCCGE5AfsgUYIIXlCNBqVW2+9Va/Pnz9/qBeHEEIIIYQQQkgLhiRtDhk++ugjdX1YrdYdE0m3YJ3hwN9isYjBYOAay1O4nQpjGzU0NOj1oqIiMRppEs5X+HkqDPJtO2H/Ys6cOUO9GAUL99MIKdzvP0IIyXd6sp9GB1oW/HHJfb1RdMx/uJ0KYxuVlJQM9WKQHsDPU2HA7TS84H4aIb37vHD/nBBC+hc60AghhBBCCCGEEEII6QLWBxFCCCGEEEIIIYQQ0gUU0AghhBBCCCGEEEII6QIKaIQQQgghhBBCCCGEdAEFNEIIIYQQQgghhBBCuoACGiGEEEIIIYQQQgghXUABjRBCCCGEEEIIIYSQLqCARgghhBBCCCGEEEJIF1BAI4QQQgghhBBCCCGkCyigEUIIIYQQQgghhBDSBRTQCCGEEEIIGQE89dRTcvTRR8vhhx8uzz///FAvDiGEFBSVlZVy8MEHD/VikCHchhTQCCGEEEIIGQEHDbfffrv8/e9/l8cee0z+/Oc/S11d3VAvFiGEFATvvPOOnHPOOVJdXT3Ui0KGcBtSQCN94le/+pVcdtll3c63ZcsWueCCC2T33XeXffbZR6699lqJx+Nc+wNIOByW3/72t7L33nvLbrvtJhdffLHU1tZ2+ZhbbrlF5syZ027EYjFuq34ikUjoQcv+++8vCxculO985zuycePGTuevr6+Xn/zkJ7Jo0SIdv/71ryUQCHB75Nl2gqujo89OV48h/cttt90mZ511Vpfz8PNERjJvv/227LvvvuLxeKSoqEj3x/7v//5vqBeLDDF01BDSM5544gm58cYbubpG+DakgEZyAuLXNddcI48//ni380ajUfnud78rBoNBHn30Ubnyyiv1cbfeeivX/gDym9/8Rt566y25+eab5YEHHpDNmzfLJZdc0uVj1qxZI8cff7z85z//aTXMZjO3VT8e5ONz8Pvf/15dAPhcnHfeeRKJRDqcH8Intt3999+vgg62KYRRkl/bCZ+dvfbaq91nZ+LEidxUg0D689Ed/DyRkUxVVZWMHj06c3vUqFF0Uoxw6KghpOdcd911MnfuXK6yEb4NKaCRXvP111/L6aefLk8//bSMHz++2/lfeukl2bZtm/zxj3+U2bNny6GHHio//vGPVdTp7GCU9P1sIrbP5ZdfLnvuuafssssu8qc//UmWL18uH3/8caePW7t2rcyfP193sLMH6R/wfr/33nvloosukgMPPFC/wG+44QbdXq+88kq7+VesWCHvv/++XH311bJgwQJ1E0KA/sc//qGPIfmxndKfHczX9rNjMpm4mQYQbJPvfe97ctNNN8m0adO6nJefJzLSgbMWJwOyMRp5KDCSoaOGEEJ6B381Sa/BAf28efPkueee65G74oMPPtCDf6/Xm5m2ZMkS8fl8snr1am6BAeDDDz/Uy8WLF2em4eByzJgxKqJ1RDAYlE2bNsnMmTO5TQYIvN/9fr++/9PgcwHRsqPtgs8ORJgZM2ZkpsHlhAOg9DYmQ7+d0g40fnYGn88//1xL0Z555hktte0Kfp7ISGfs2LFSU1OTuY22DuXl5UO6TGRooaOGEEJ6B+uySK+B+6w3VFRU6E5bNukdNjjT4I4i/e/KKCkpEZvN1m69b9++vcPHfPnll3p2+sUXX1SXE1w4EGt++tOfcge7n8BnAYwbN65H2wXbse28VqtViouLO92OZPC3E5pw46AU4tpDDz0kDQ0NKubgs9OdK4r0DaQo9TRJiZ8nMtKBi/mOO+6QpqYmvY0yc5SmE0IIIaRnUEAj7Zr9H3LIIZ2uFexs9bakLxQKtXKfgbSwg0b3pP+3E3qdQWhpC9Z7Z+scAhpAc2H0EoIggLLPs88+WxukOxwObqo+ApcfaLttsF0aGxs7nL+325EM/nZC+SZAuSZ6QyLkAT3UvvWtb8mzzz6rfYbI0MPPExnp4GTm97//ff1uQn9aiGdtT3ASQgghpHMooJFWoMTv+eef73StlJaW9nqN2e32dr3O0gf/TqeTW2AAttO///3vDvvLYb13JoSddNJJ2p8O5VBpZs2apT2gkNJ19NFHc1v1EXwWALZN+npX26Wjz056fn528mc7odQTpe3Znx2EpBx00EHy5JNPyvnnnz+AS0t6Cj9PZLBAD9K77rpLA2AmT54sF154oRx11FH9+hoQ6dEAHq7XNHCRI037scceU5fZHnvsIVdccYVMmTIlM8+yZct0EEJIvgEHP07ev/7669rqB2nmSKJHP+f+JNfvzzSffvppvy7PcKK2tlb+53/+R958803db160aJH87Gc/6/c2J0O5DdkDjbTCYrFov6XORi4NsXF2E8lP2aRvQwgi/b+dsM7xI9RWfMF67+psc7YAkN4+KBdMl7SRvpEuCezo89DRdunos4Ntim3Lz07+bKeOPjsQONEjkmEP+QM/T2QwQMjLL3/5Szn11FO1VyxOPiE4CSEWA50629v0YEIIySfwXbly5UoV0R5//HHtof3d735XA+z6C35/Dizf//739eTRX/7yF92GOHl57rnnZqo7hsM2pIBGBhwoz1988YWeSUgDxdjlcjEKeICA4g4VPrvR/Lp16/RgvrOzONdff73u6CeTyValovX19WyO3k8gpdHtdst7772XmYYzJPh8dLRd8NmBeLlx48bMtPRjd9999/5aLNLH7fTwww9rYAfK1dPg+27Dhg387OQR/DyRgQa/n0iEPeecc3TgrPcPf/hD2WeffdSl2tGZ+s8++6zVtI8++qjV/lJPU2dzSQ8mwwccOJ511lmtpmE/EAeZ+++/v/bl/M53vtNqfyIbOmrIUIP35ltvvaWOIexrTZ8+XX71q1/pCWOcjGgLvz/zj/r6ej15/Lvf/U523nlnNXX84Ac/kOrq6kyroOGwDSmgkX4Hb2B8UNJqL8oC0TftRz/6kabbvfrqq/qGxg95R/2dSN/Bj80xxxwjl19+uYoAn3zyiVqgEQqw6667dridjjzySD1jgC+99evXa0N0fAlBqMHOF+k7eL+feeaZmnr12muv6efhv//7v9UZc9hhh0k8HtdtkhZisMOL9Y95sA3fffdd3bFA+Q0daPmznVCqiQNnWNSxg4ADEXx2UPJ+wgknDOCSkq7g54kMNjhRtXXrVjnuuONaTb/nnnvkggsuaDf/gw8+qEIbDhgASl5wph6psr1Nnc0lPZgMD4bajUFIf4DwM5S+77TTTplpeM9i/6qj/rP8/szPbfinP/1JWwAB9NPG7x/2nzsq4SzUbUgBjfQ7KFPYb7/9MuUKaLx9991365mwb37zm/Lb3/5WG9hCkSYDB4QwJG6h9wrszziTk72D1XY7wSaN7bRq1So58cQT9XHz5s3TxC78gJH+4eKLL5aTTz5ZxU0k2qIsGj8uEG2Q8Ihtku5vh/WOWn6czcEPDEToAw44QH7zm99wc+TRdkLJ5wMPPKA/3JgXP/4I48COQXYPNTK48PNEBhu4TgGCRPC7i9/gU045Rf71r391GviDk4yY9/bbb9f9InzXYx+pI5A4C7f4pEmT+pweTAqffHFjENIfQOzAezXbXPHCCy/Ipk2bdJ+rLfz+zG9+/etfy7777isvvviiXHXVVR32bi7UbcgQAdInshv3pUEp05o1a1pNQxkDfsjJ4IEvKpx1xOiIjrYTpj3yyCODtIQjEwgxl156qY62QChru03Kyso6PLNM8ms7QWyGwEaGDjStzYafJzLYpMtOfv7zn+tJqJ/+9Kfy0ksv6UHBfffdp4JaNkajUa6++mp1tN54442ydOlSdYsPRnowKXyy3RgIroH7saduDFQpEJLPoA0N+kkecsghKpy0hd+f+c0555yjvUBxXIlWBmh3ArPGcNiGdKARQgghhBDSDwE/AGfTUb4NYT3tHIaA1hFwp6E/GoQNOINQqt/X9OCepm+TwiZf3BiE9Ddo94Pv0V122UVLAjuD35/5y8yZM7UcFxVROKH517/+ddhsQwpohBBCCCGE9JF0Su/s2bPbHUgglKctcKdBYDv//PPlySef1LPv6JWGoKXBSA8mw5eu3Bg4oCQkX4HQgtJjnHhAkmNnrTD4/Zl/1NbWauADetBmu8wQJtD2t6mQtyEFNEIIIYQQQvoIzqAjYXzlypWtpq9du1YmT57cbn6IGyj1RM9F9LxEj9gzzjgjp96JvU0PJsMbOhJJIYIyPziW8D2Ikr6uwub4/Zl/VFVVaQlmdup0NBrV3yGIaMNlG7IHGiGEEEIIIX0EO/1o6o5+VEhKRvnRP//5T3nrrbc0KbEtSPDFSIMDCKT59jU9GAnAEyZMkGuvvTaTHkxGFtlujGzxFrdxoElIvrF+/Xr5wx/+oN9XcCHBzZT93Ypwpmz4/Zl/zJ07VwMfIIShBzf6LiKMDkIWArbaUqjbkAIaIYQQQggh/QACA9BvJZ14iLPuN998s4b0DDQ4ix+LxTQ9OBQKyaJFizLpwWRkke3GSAtoaTcGDjIJyTdQzge3EvpgtU2KRU/JtkFB/Q2/P/uOwWBQ5yB6M6I0s7m5Wd1ff/vb32T8+PEy0AzWNjQkk8lkvz4jIYQQQgghhJBB4bLLLtMUzoceeigzDSLuo48+qq6etBsDvfieffZZiqqEEJIjdKARQgghhBBCyDCCjhpCCOl/6EAjhBBCCCGEEEIIIaQLmMJJCCGEEEIIIYQQQkgXUEAjhBBCCCGEEEIIIaQLKKARQvKeJ598UubMmaPNbweaW265RY4++mhJJBID9hrxeFz23ntvuf/++/v1eR977DHZf//9JRAI9OvzEkIIIYQQQshIhwIaIYS0UFlZqXHHaLxrNA7c1+Py5culrq5ODjvssH59XsR8O51Oufvuu/v1eQkhhBBCCCFkpEMBjRBCWnjwwQfF4/HI4YcfPqDr5KWXXpKddtpJY+X7E7PZLKeeeqr+HcFgsF+fmxBCCCGEEEJGMhTQCCEFyQcffCDnnHOO7LbbbrJw4UI57bTT5PXXX28336uvvirHHXecClaHHHKIPPDAA3LzzTdrSWg2kUhEHn/8cTn22GPbuc/OPvtsOeuss+T999+Xc889V19z33331XLP3pJMJuWVV16RI444YkCeH3+rz+eTf/7zn71+LCGEEEIIIYSQjqGARggpONJCU3Nzs1x11VVy/fXXi8vlkv/6r/+S559/PjPfG2+8IRdddJEUFxfLjTfeKJdeeqkKS0899VS75/zkk0+koaFBFi9e3O6+1atXy9atW+Xqq6+WZcuWyW233SZ77rmnCnFYlt7w0UcfSXV1dSuXW38+/+jRo2X69Ony73//u1ePI4QQQgghhBDSOeYu7iOEkLwEgpnX65WHHnpIhTNw0EEHqfh0zTXXyFFHHSUGg0H+/Oc/y5gxY7SvmdVq1fnQZP/ggw9u95wrVqzQywULFrSavnnzZmlsbJSJEyfKo48+mnkeiFQvvviifPXVV7LXXnupg+2KK66Qt99+W4W9mTNnymWXXSa77757u/LN2bNny9SpU3v1/ODhhx/WoIC1a9eqWAhxsCPmz58v77zzTp/XMyGEEEIIIYSQFHSgEUIKCiRMrly5Uksg0+IZMJlMsnTpUqmoqJB169bpfJ999pkceuihGVEK4DEdCWhVVVUqupWUlLSa/vnnn+vlJZdc0up56uvr9bK8vFwvY7GY9jR75JFHtLz09NNPl+9///vtepG1Ld/s6fOnr0M0QylqV5SVlUltba0uEyGEEEIIIYSQvkMBjRBSUDQ1NWkfMZQqtiUtNqEUMz0fxKS2dDQtHA5rE34Icdl88cUXKmztvffe7aan3V4A6ZcXXnihjB8/XnuoIRETr79x48ZWZaLbtm1rVb7Z0+cHEAMh/iHooCtsNpu+Nv4mQgghhBBCCCF9hwIaIaSgQOkmBCr0EevIRQbgIsN8cJTBidWWmpqadtPwmGg0qs61bOAQQ+BAtjsMwN2Gx0Aw64ivv/5aQqGQTJo0qVX5Jko3UcLZ1+fvCgiIeL5shx4hhBBCCCGEkNxhDzRCSEEBpxdSN1EK+fOf/1zsdrtOTyQS8swzz8jYsWNl2rRpKp4heRMpnD/72c8yApXf75f/+7//a/e8eAzYtGmTzJ07t5UTLLvkMlv4atsvLQ3KNvGaKOHMFrFefvll7c+WTS7P3x1btmzRHmyEEEIIIYVK28T0fGbNmjVDvQiEkEGAAhohpOD48Y9/LN/5znfk7LPP1kuLxaIN9r/88kv505/+pOIZuPjii+WCCy6Q7373u3LOOedIPB7XQAGIWmjcn006fRP91dIC2vbt26Wurk6FuGzQWwzJmUgCbQtcbD/60Y9UwEKj/zSrVq1ScS67fDOX5+8OCIkoFT355JN7/VhCCCGEkHwBJyKxT0UIIfkCSzgJIQUHUinvv/9+cTgc8otf/EIFNZ/PJ7fffrscffTRmfkOOOAAufnmm7WkETtg//M//5PpI4YSz2zGjRsne+65p7z22mvtGvy3FbiQjInyzLbTIV7BFYcS06uuuioj5KXLNxEykP2Y3j5/T3jvvfc0BfS4447r9WMJIYQQ0nfQh5T0Dbjpsd9ECCH5hCHJb3hCyAgCDrFly5bJmDFj5N577211H0Su//7v/9YST9zfWy6//HINDbj77ru1kX82EPYg6F122WU5LzucaXDR/eY3v9HAhB/84Aftgg8uvfRS2bx5szz66KM5vw4hhBBCWrN27Vo9Uff++++ri724uFhPvJ1//vmtAn9wIg77E3/84x97tQpxcg8nCHGybzAZqtftjr/+9a/a4qKj0KhCB/ufaOFx3XXX5e367wu5/E0/+clPZN68efK9731vQJeNkL7CEk5CyLDml7/8pey77766A4bwgEceeUQb/P/qV79qNy/KK3feeWe588475f/9v//Xq9fZunWrPPbYYyqcLVmyJDP9L3/5i+5gP//8833+W7Djfsstt2Ru33HHHXL11VfLiSeeqLdRIvrCCy+oO48QQggh/QNaRJx66qmyyy676P7DqFGjpKKiQkUeTH/ooYdk11131XkL7TcY+xVut1vyDeyzDUfxDPug2H979tlnh3pR8gr0Dkb1xEEHHSQzZswY6sUhpFMooBFChjUIDbjmmmu01xh6peEs8V133SX77LNPu3lRcvm73/1O/vWvf2k5JkoxewrKDAa6gexFF12kozO2bdsmv/71r1WwI4QQQkj/cN9996njDA5z7EukQVsIhAPddtttum9RiGS75/IFtOXweDwyHLn22mu1KiGXSofhDNYH1gtceThhTEi+wh5ohJBhzU033SRvvPGGfPbZZ7JixQr529/+pqWUnTF79mxt/t8b8SxfgPMNZ8IJIYQQ0r9uKNC28w2SwdGLNZ2wfdZZZ2mJJwYSJNGXFD1Nr7/+enW5o7fp7rvvLt/+9rc1XKgrHn/8cQ01Qi/XNHC6H3PMMfo83/jGN/Q+tHfoCvRbRZDSHnvsIbvttpsGFCEwKbvcLt1e4sknn9Tl7mjgb+vLcvQG7Lftv//+7aYjPCq9jvF34O9BlUG2O7+n9Odz9aYM+PXXX++yTy1adWBfFfPA8Yj1C1EpHA63akeCadifxTwIy3r66ad1O6F3XK7vBby/8drYtnjeww47TCspst/3ub6fe/KeWbp0qbZRwXoiJF8pvCNEQgghhBBCCBkkcMAPl/dpp52mAgPK8NKiwpFHHiknnHCCXr/iiivU0YXx97//XRYsWKClaRDD0CsNva8gVkEgQM/VzlpRo+0DHOU4oZd2nqO9BKbtvffeWgJ4xhlnqLjRVcsJOLnQU6qkpET+/Oc/yw033CDBYFAFFwQOdfR3YrmzB/5mcMopp+S8HL0F6wcnNNuChHK0zED7CvSzhfMPrnuIMRDCekN/PldPQdkmylIhOnUG1uMf/vAHFTbhxML6Rakw+t6m3y+Y54EHHpAzzzxTbr31Vi0pxjbpip68F5BkjxCsAw88UF8b2xzzYd2kyeX93NP3DEQ9ONGee+65Xq1XQgYTlnASQgghhBBCSCd861vfkurqarnnnnvkyiuv1GkQIvbbbz91MS1cuFCnzZw5M9NPDD3RIpGItpKAeJBOCUdzdUxDg3U8J0KBsoEDByIFBAokiAMIHBA04DJHYBHAa6OsFLfhAJo1a1a75UaqN1pYYBnhOgLTp0/XoKGOyiRLS0t1pPnggw/kiSeeUOEF7qBcl6M3wIGFgKS2ICAJ4Q0TJ07U5bdarZm/58UXX9S/FesWPPzww+p4grCTLUL25rmw/SCIvv322/p3Y9tCLOpK/OqOd999V3vtZqe0Z4PXhTiF7f79739fp8EVh/cI3hNw5k2bNk2eeuopTX3H+gZw68El+Z///KfT1+7uvQDxC6XKuB+vlX5tPObDDz/U27m8n3vznsF6gUPtnXfeyXkdEzLQ0IFGCCGEEEIIIV1wySWXyJtvvqnlayeffLIKZXAUQRiAG6gjIMxAdIPYUFVVJcuXL1dXF0SydCle2xI7vA5ECFymQQsKuIXgSkLZW3rgNnjrrbc6fH0IExDEIMZADEKPVzigIJCMGzeuy+0Nx93FF1+sriEkJPZlOToDQhaEoGwg2qUFnrbrBmC9pAUvUF9fr5fZwg2uQzQ75JBDOnzdnjwX/i70t0X4FJbp9NNP1/WIvz9X8PdCtOuMtPOtbYknSh+RuI6SYAyIXXA+ZnPsscd2+drdvRc+/vhjfT+ibDMbiIbp1Prevp9zec9gnXdVhkrIUEMHGiGEEEIIIYR0Q1FRkQoVabHiiy++UAEC/ajg0IIrrS0Q3VCSt27dOnG5XNqnCpegbckbHFNIIYQggbI99OkCDQ0NeglXWkdAzOgIvA5KTuEAQlko3EYOh0OXFWmiSA7viEAgoEKL1+vVsr50X9hcl6MzsE4++ugj2bBhg0ydOlWnQazq6PmxriHgQNBrO71tGALCHcBrr73W4ev25LnQ3+7CCy/M3IcyXZR7bty4UXvT5QKcXlj/nQFXHGibPgpHHt5bcHPBEQbKyspazYMyzq7o7r2Q3rbZDsSO6M37OZf3DJapo/JiQvIFCmiEEEIIIYQQ0gGVlZVy0kknqVsp3QcsDYQWlNv98Ic/VHdRWwFt06ZNeh+cUOgDNXnyZJ0OIQNCRFtQ2oYeUXB8ofcUhKDx48erkAUg1KWFpp6KJyjTQ/IjSiM/+eQT+cc//qGuKjihOhI1IILAFYb+YCiDzC7z7MtydAR6bX366acqdKEXF4A7KTvpNNs1BrEm2zEGEBKF9Y711FNyeS70vUMD/UmTJkmuoGyxK3EIAi1AKWS2Uw3OLrjjsGzp9M7a2tpWLkLc7o6u3gvpnnMQ6DBfmu3bt6toCFcgrvfm/ZzLe6apqalDIZqQfIElnIQQQgghhBDSATjAhwMIfbWykxDTwIkDJ9eUKVNSB1dZKd4QZPCYCy64ICM2gLTY0Naxk3YeIdkTr5luso4eaxCVIOahh1Z6YBpKSjsreUM/LyR0Q5BBCSCatP/mN79RUaOioqLDx6DBPAQtOM/QbyubXJejKyASpp1iEKmyxZu27jD0x+pIDENYQ2/o7XOhBBFOQ7jy0m6rXEB5IkSozkj3cENpcDb//Oc/VfSCiIWBbfnyyy+3mqft7d6+F5C6ie3Y1rWH8mSIx+hP1tv3cy7vGawfrCdC8hU60AghhBBCCCGkAyA2QGiA8wZONCQIzpgxQ0UV9G+C+wYCQ9o9BEECfZ/QCB3OHghhcP185zvf0SbsTz75pLz++uuZUsnORDukGv72t79Vl9Dxxx+vjfxvuukmLQNcvHixChK4DWGjs5JCNLxPJBK67HCbQfx54YUX1AV1+OGHt5v/pZdeyiQ/okQQfbGyQWP9XJajK/AYlPHB+QQh5sQTT2w3D0QV3N9W9IJbDWma5557bo9fr7fPBfcXXIYIEUAgQV9AU34IsRCaOgoSwGugVPSWW25RtxvW76pVq/Q2riMsAAIt3ocQOLFsWH+vvPJKpg9ZtoDbm/cCSjdRMgzBDM48iG1wB6KU+Mc//rG+jyEu9vb9DDdZT98zWC/47CDIgJB8hQIaIYQQQgghhHTCN77xDfnf//1fbaCOEksIMBAZUMKJUstsMQriE5w65513nvbMgssGAgjcSxDZIEI99NBDKhKg3xdKCTvitNNO07RF9JuCcAIRBw41CDB33323Phd6eEHcaJummQbN8DEvxAr0uYLoh2byN998swokbYEIAxEDoglGW9asWZPTcvRk/eK10QMsXfLXUdP/tqIXkiUhNHXkJuuM3jwXBCeUs0KUuuqqqzpNz+wpeJ/ceuutKkzB8dUReB24GZF+ivcbtiHeKxC+0uIYUjDRow3N/SFKYf3j/YXnxvRc3wuXXnqpirco68RzQwD+5S9/qSm0AMuVy/u5p+8ZlJWiZ1rbgARC8glDsiOvJSGEEEIIIYQQMsDArYfSUaQ79of7CG4ylDzCOQjh6Ac/+IE6p+Am7A2XX3659v+C6NNZ4EJvgYsNbi8Io7kAgemNN95QUTW7V9g111yjbjCkdBYqKF2GiHrbbbcN9aIQ0ikU0AghhBBCCCGEDAkQvOBIgusqu7dWrsBVBZdUNnADdlQe2hkIUTj44INVOMsW3v7yl7/InnvumfOywcUHRxf6nPUm+CANepAdcMABMm/ePDnnnHPUcYYkU7jPIM5lJ4cWEtu2bZPjjjtOXWqduTIJyQcooBFCCCGEEEIIGTKQ+Nk25XS4ctddd2m/NfQxywX0Rbvxxhu1Rx1KMSE6ouQX5cN9LTMdKlDOCeEMAQWE5DMU0AghhBBCCCGEEEII6YKOYzoIIYQQQgghhBBCCCEKBTRCCCGEEEIIIYQQQrqAAhohhBBCCCGEEEIIIV1AAY0QQgghhBBCCCGEkC6ggEYIIYQQQgghhBBCSBdQQCOEEEIIIYQQQgghpAsooBFCCCGEEEIIIYQQ0gUU0AghhBBCCCGEEEII6QIKaIQQQgghhBBCCCGEdAEFNEIIIYQQQgghhBBCuoACGiGEEEIIIYQQQgghXUABjRBCCCGEEEIIIYQQ6Zz/D2nHa9DKsC8VAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ppc_rdm = m_rdm.ppc(df, idata_rdm, n_posterior_samples=60, progressbar=False)\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12.5, 4.5))\n", "plot_ppc_psychometric(df, ppc_rdm, ax=axes[0], title='RDM psychometric')\n", "plot_ppc_size_effect(df, ppc_rdm, ax=axes[1], title='RDM size effect')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "20", "metadata": {}, "source": [ "The RDM also fits the psychometric and reproduces the size effect, but\n", "through a *different* mechanism: the **summary** drift coefficient $w_s$\n", "multiplies $(\\tilde\\mu_1 + \\tilde\\mu_2)$, so increasing the total magnitude\n", "literally raises the drift on **both** accumulators in tandem. That makes the\n", "race finish faster regardless of which side wins." ] }, { "cell_type": "markdown", "id": "21", "metadata": {}, "source": [ "## How DDM and RDM look *different*\n", "\n", "Both models fit the choice and the size effect well, so on these summaries\n", "they're nearly indistinguishable. Where do they actually diverge?\n", "\n", "### 1. The size effect, side by side\n", "\n", "Plotting both PPC bands on the same axes makes the small-but-systematic\n", "differences visible — the RDM's size effect is typically a hair *steeper*\n", "than the DDM's, because $w_s$ amplifies the magnitude effect directly while\n", "the DDM only gets it through the cognitive front-end." ] }, { "cell_type": "code", "execution_count": null, "id": "22", "metadata": {}, "outputs": [ { "data": { "image/png": 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2JujrUKkruu2oobVm2WVrSfU+WL3BbwIoDaIWr0wEUYFQNO22Ta0hmbdwnVksesCYWRGl+0UQBQBA/xaJalVTSNY1+mWDVdXkdcuQhqqSqSTS46LaKo9ZVCgSlWAwKktamjSiEq9Xh/x5k0Px3GaGPBdD8VBGCJ0AoEzot2D2CqVEP6W2Rb+1612olAiTBtkCpSE9CJV6tA9Oh4wYXGOWHbcaYdbF4nFZa4Ko5lRV1NJVze3Cs2Z/WD5btN4sFj0gG6MVUckQSpchAwtXNg8AAEqrqqmxWRuD+6XZX7yqpp7wul1mqRevORYKhaLS1Bwyz8XldEqVV6ugvFJf6zUz4unCF20oZYROAFBCodL6jUFZu9HfZ6GSLgP6IFTqCQ2Ihg2qMcsOWw5PHUjqa2ENy0sEUs3S4g+n3VaDqS8WbzCLRQ/SxgyrS2tYPkyDqBJ87gAAoOdVTdqrKRiJSk2JVTV1l9XvSRcVjWpD8qisXNcqy9e2mHCqyueSgfU+qa1K9IPyMhQPJYbQCQD6SDAUzdJTqW34W0sPQyUt3rEadZtlQHmESj2h3+Rpo09dtt98WCqI0t5PS1Y2y5LVTbJYT1c1SVNrehClB2lfLW00i8XrcZogSgOocckgavjgmop5vQAAqHQ669yGpvSqJp2BrhInH9FhdbXViRn2VCgcNcc336xoMseDPo9b6mo8ph+UBlDVVR6OaVB0hE4AUG6hUrtKJW+/HtuvQdSg+iqzbLvZ0NR6Lau3huYtTZ7qN5922rx8wbKNZrHPMDN6aG1aRdRIDaL68WsMAECpVTU1tSSGnFVKVVNPaFVTorIpMRRPj0U1gNNm6Rq+maF49T4ztFAbkutlhuKhrxE6AUB3QqVko+71WWaAyxzilStCpcLQbzh12WbTIal1eoBqhuWtbk5VRK1vCrabSnnRiiazWNwubX5uNStP9IoaNaRW3G6CKAAAilHV1OKPmOFnOsNbJVY1dZe+FlaPJyuY0yqo5WtazIQtOgOeVj/pa6WVUnre42ZWPBQeoRMA9GGolN5PKbFOr6OKpm9o083JE4eYxaI/V3t/qKWrmmRNYyDtdpFo3Myop4tFv0EcOaQ2FULp6ahhtaa/AgAAyHNV00a/NDYlqpp0BrrB/ayqqbvcLqfUVeviMa0IQpGY6Xmps/jpsalWPelQvAYzFM9jwiraC6AQCJ0A9BvBcLRdc24rUCJU6r/0274txw82i8UfiJj+UImG5YmheavX+9NuF43FZenqZrO888kKs06PfUdoEKV9opLD87RnlH67CAAAulfVpEPl9YugltZwoqqpQns1FZoOqdNjEet4RCuf9MvW9Y1BWb3OLy6304RO2gtKgyidBdjHUDzkCaETgIoPlax1zb2oVNIDnMwKJWuhUqnyVFe5ZfNxg8xiCQQjsnRNc7JhuQ7Pa5JV61slHm+7XSwupoxdl3fnrUy9f4YPqkn1hxqXDKKsmWgAAICkZmfTGejWbgxIY1PQHNtpGEJVU35phZge6+iiIhEdiheRZWuaTVWU9omqrfKYWfH09ddKKO15CfQER7wAyobO0LFeh781tlUo6UFJr0Ml7f9Tnz1UGpQMlbREGf2bhkSTxgw0i0UPhpetTlRDWUP0VqxtMeGTRUMpndpYl/c/W5VaP2xQtamISjUsH1afOvgDAKDfVjX5Q+KUxAxtVDX1De1RWef2Sl1yVmCdaEXbD2xoCiSqpLwuqa/xSUOtNzErns/N0EbkrMdHt19//bUsWbJEmpubZdCgQTJ69GgZP358T+8OALKGSqmlKSDNrb0Ilep8MqjBJ0MGVBMqIW+0TH3i6AFmsYQiiaadiYoo7QOVCKJ0OJ6dDtfT5YPPV6fWDRlQZaqh7A3LrWmRAQCouKqmVp2BLr2qaVB9Nb2FisgKmXQxPyczFC9imrevXN8iHpdLqn0uc2yt/aL0C7MqL1+aoWPdenesWbNGHnroIfnTn/4kq1evNimo/c05duxYOfjgg+X444+XoUPbpq0GAOvD+HoNkxr9BQuV7MPeUsPf6qlUQt/RRuLjRzaYxaJl68vXtqRVRGkJuzYot9MDb10+/KItiBpU70sFUTo0T89rQ3QAACqhqskhDqmr9lLVVKK0ubgOr9PFmuVXh+JpqwGJ6xdwbVVpie3cjBBA90OnaDQqs2fPlt/85jcyatQoOfLII2XbbbeVMWPGSE1NjTQ2NsqKFSvk/fffl1dffVUefvhhOeGEE+Scc84Rj4dvaIF+FyrZwiR7j6UmQiX047J1HUani8io1De8K9a1pgVR2pRcD+bs1jcFzfLxV2tS6wbUedtVRGnJu34BBABAqVY1rWsMmiFbOpNalcdFVVMZ0t5OHrdX9IhGi1C0Qk2P8fVYX5u9azsCPSapr0kMxdMqKGYZ7N8ccXu5UgeOOOIIEzb9/Oc/l+22267LO/3Xv/4lv/3tb2XlypXy7LPPSin7+OOPzamGaIWi/wDnL1ovwwZWF+wxgL4OlVatbZIFS1ZJ3FkljS3hXodKDXXedhVK2k9pCJVK6Ee0hF2bky9Z2ZSaNU+DKO2t0JX6Go8tiEo0LNcqP4Ko7tvQHDS/k7awNZIvdX1xPANUmtbWVpk3b55MnjzZfJGOArzGgbBpDL5mg1+atapJZ6Cr8jAcq4KPY7QKKhiMSjQWE48nORSv1ie1NR7zs9cm5ehfcqp0uvjii2WPPfbI+U532WUXs7zxxhu92TcgrzRf1ZYqidO4xGM605R1Pm6a/bZdTpy3bmNtE7PdR+Jy+nZt29jvw7ZNrJN9sLZN3ke781nuI30b233bH0efW3JqVOtxYzHbPnT4OG3b6PXhaKyD4W+tvQqVzKk26mZGDMCUsI8aUmuWnbdOvCD672/1Bn+qGso6DYSiaa+Yhr7zFq4zi0XL3bVZuQmikg3LNcgliAIAFLqqSb+o1F6dwVBUqr30auovxzEaLOlifWGtAdSSliZz2et1SW2110zSU5tsSO5isp6Kl1Po1J3AyW7PPffs0e36k1RwYAsA0sKNjDCgLfzoODzR78Mz7yMtPEkGCh2GJR0FF2n7mX4fnQUX9rAk7brkbdqHJbZ9SNvGdnt74JPxemR7HPMaFPuHXeEG1HpTIZIu2hCZUAnoPS1JHzG4xiw7bjXCrNPfb9r7yQRQyYbletoajKTdVmeemf/NerNY9ADPGpZnVUQNGVhtSuIBAOgpfzCS6NVkqpoSX1Rqo2mtckH/7XOpS714zbFLKBSVpmZtHu8Xl9MpVV6tgvKaXpXaD0ov88VY5elRm/nFixdLMBiUzTbbzPRzuv3222X58uVy0EEHyeGHH57/vSxjny1aJ79+/APzy1dDj8wQqevBjUDfcDpEHE6HOLWdo1MvO8yi6/SzqNvlNN9KWKFSfbVLgq3rZfJm42Xk0AYqlYA+pP82dci2LjtsMdys05Bdv1VebKuIWryq2QRPmR8Kvli8wSwWPcgbk6yI0r5TejpsYA09GAAAXQ6namoJJfp4plU1VTEDHdodu2i/J13MeyeqDcmjsnJdq5lsRcOpKp/LtAbQxvLaD8rjZihevwydXn/9dTnrrLPkuOOOk0svvVSuueYa+ctf/iJbbLGFTJ8+XcLhsPz4xz8uzN6WodfeXWwO/tEzGna0hR+JWRITl5MBiXWdXtbzZl3bdub2zvTziets95UMVRLb6OW286nHt93OOm/fN71NYl36NqnHTYY3zozHaXs+HT+/zNcg7TnbXgNzf5LxOJ3cR+p1SG7TXYFAQBYsbJGhA6sInIASoP+mBw+oMsv2mw9LBVHan8g+LG/xymZpag2l3VYP+r5a2mgWi9fjTAZRbQ3LRwyu5UMEAMB8gZHo1dSa6ulJVRO6Q4fV1VYnZr5ToXDUHI98s6LJfHbxedxSV5OolKup9iSG4umHF1R+6KSz2OmwubPPPluamprklVdekdNPP12mTp0qt912m5m5jtCpzUG7T5CvlzXK6vV+0+m/w/DDFpbYg4vs4Uf6+ezhSfuwxNFBcGEPSNqFJ1mDiyyBT+pyx9Uyne6D7XGs+9BfKZRXAkDP6e9Q/bZZl20nDU2tb2xJBlHJhuW6aDhlp83LFyzbaBaLx+WU0cNqU0GUzpo3YkgNUyMDQD+qatKKJq1s0qomnZlMe3PSlwe9pQ3GE03GvaZdis6Kt6FJh2sGTNhkhuLV+xKz4vnc4mMoXuWGTp999pncc889UldXJy+88IJEo1H5/ve/b677zne+Iw8++GAh9rNsbTpmgFx+4i7MXgcAKBn6reGAiT7ZZuKQ1DqtfrJXROmiHyrsdEKBRSuazGJxuRwyemhdWsPy0UNqqYAEgAoR0F5NmVVNVfRqQuFoUYRWNumiIsmheMvXtMjSWLP4PC4z/E6H4mkvKF20wAMVEjr5fD6JRBKNSv/xj3/IkCFDZKuttjKX16xZIw0NDfnfSwAAUFD6zeHkCYPNYmkJhNuCKNOwvNn0KLSLRuOyeGWTWewHizoDn71huVZIab8GAEB5VTWtT1Y1+ahqQpFob9m6al08pnVAKBIzk6dsaA6ZUTNaBVVf45MG05A8EVbpsQjKNHTacccdZc6cOaaB+IsvvihHHnmkWf/f//5X7rrrLvn2t79diP0EAAB9TKc83nKTQWax+AMRWbq6Oa1huQ4ht8+LoWXxuo0u73ySWKfHftoTKhVEjaiXMUPrTHk8AKD0qpp0Bjqd9EirmhqYgQ4l1DpAK510UWYoXigq6xr9snJdi6m01tBJJ0DSkKq6ym2GgaJ4uv3qa7PwM844Q6ZNm2ZmrzvzzDPNel1XXV1t1gMAgMqkB2+bjRtoFksglAiirGF5GkTpbDT2GVpjcTGz0+jy7ryVZp1+Bzl8cE2qGsqcDqtLzWwDAOibqqbm1pCpaNJh1TqMSb8QGFhLryaUyVA8rW6qSg7Fi8RSxyVaFaV9ovRLtLaheG56Ufaxbh/VjRs3Tp5//nlZu3atDB3a1pT07rvvlq233lq8Xm++9xEAAJQw/QZx0piBZrFoA9DlpiKqLYhasa7VfCNp0XMaTuny/merUuuHDaxOD6KG15kDRQBAfquadAa61RlVTTrcmsl8UK600qnO7ZW65Cy+OjFKiz8sG5oCiSopbUhel2xInqyCYiheCYROb731luy+++6py/rDsgdO6lvf+la727355pumuTgAAOhftOx9wugBZrGEIzFZviY9iNKmoPotu93qDX6zfPD56tS6wQ1VMm6EVkLVy1g9HV5vyuYBAD2samoKSCBIVRMqlxUyWUP59f0fDEVMWwA9/vC4XVLtc5mheLU1iYbk1rA99HHoNHPmTBk5cqScddZZMmXKlC63f//99+X++++XVatWEToBAABDZ5bZZGSDWSw6I40OuVu6qtk0I9cwatmaZolE04MoHfKhy4dfrEmtG1Tvy6iIqjdNRAEA6XS40cbmZFVTa9hUmuqQo/qBVDWh/3A5HanZ7qwvw/Tfhvap1EH/Po9Tamu8JoTSKqgan1tcLmbF65PQ6YknnpDZs2fLMcccI6NGjZKDDjpItttuOxk7dqzU1NTIxo0bZfny5fLvf/9bXn/9dVmyZImccMIJprE4AABAhwciLqeMG15vlt2mjDLrotGYGXKnAZTVsHzZ6mYzW43d+qagWT7+am1q3YBar4wZXmfuz2pYrusYKgJA+ntVk/Zq8iSGFunvXqC/0y/DPG6vGWoXM0PxotLUHJK1jX5xORymx6R+maWLNifXheOJAoVOLpdLzj33XPnJT34iDz74oDz99NNy3333pb3gOl5y9OjR8v3vf19OPPFEGTFiRA92BwAA9Hf6reLoYXVm2WWbkWad9oJatb41OTQvEURpdZT2jrLTWZcaF6yTTxesS62rq/G0hVDJU62S4sARQH+oatK43vRqGkAAD3TEqSGTt22mO/0CLBCOyqp1rWYonga2VToUr94ntVWJflDapBx5biQ+fPhwufTSS83y1VdfmYqmpqYmGTRokAmcJk6c2J27AwAAyIk2+Rw5pNYsO09OfLGl30quWe9Pq4jSQEq/zbfTD13zFq4zi6W2yi1jTIVVMogaUSdDGqoIogCUJQ3mmzJ7NVHVBPTqC7BaXZJD8UKRqASDUflmRZNo7Y3P4zZfag2oTQzF0yoohuJl1+M5iSdNmmQWAACAYn0rOXxwjVm+vdXwVOX12sZAWgilp62BSNptWwIR+fyb9Wax6AHjmGF1MmxQtey301iRcYP6/DkBQLermlpCsnaD35yaqiYfvZqAfPO6XWapl+RQvFBUNjQFZc2GgOkVVWVmxfNKnZkVz2MuU1Hdy9AJAACg1JgZdgdWm2WHLdqCKO39ZAVQVsNynSLczh+MyJdLNpjl0wVrZfcpo4v0LACg66qmDc1BWdcYML+7qGoC+ngons9tFmtSFK2yXr62VeJrWkw4pdVP2j+ttlobl7vNTHn9FaETAACo+CBqcEOVWbbbbFgqiGpsDpkgyt4nSisFVF2113yw02F9AFAKtIddY3MwVdVkZqDzeWTYwGoqKoAi0sb8ddW6eMzxhU580hqMyIbmkBmKp1VPOhSvwQzF8ySG4vWj4wtCJwAA0C+DKG0GqsuUSUNT6xtbgqZfw6RxAwicABSdht9albm+KWCqmgLBiGlezAx0QOkeX2jloS7Wv+FgKCrrG4Oyep1fXG6nCZ20F5QGUTU+t/gqfCheSYVOs2fPlrfeekseeeSRDrdZv369XH/99fL666+bywcddJBMnz5dampq+nBPAQBAJdKDwHEj9FvJkjpEAtAPq5p0Bro1G1plY2tY4rGYmTFLhw5X8odToNI4nQ6p1kbjVcmheBEdiheRZWuaTVWUhsgaPOmXYFoFpYvH7ZRKktOzOeCAA+Szzz4r6I489NBDcscdd3S53XnnnSeLFy9Obf/mm2/KtddeW9B9AwAAAIBC0ooIHTa3aMVG+fTrtfLl4vVm0oMBNRo21ZgPrQROQHlzu52m2fjQAdVmqfK4zWQnC5dvlM8WrpNPvl4jXy1plNXr/dLiD5vfC+Uup6/xli5dKqFQosdBvq1cuVKuuOIKef/992XixImdbvvBBx/Iv/71L3nhhRdSM+ddd911cuqpp8qFF14oI0YkplAGAAAAgHKtatJqB6qagH4wFM/rMovSgEmroNY2+mXl+hbxuFxS7UsMp9V+URo8l2MldtH3+JNPPpEBAwbIn/70J7n77rtNwNWR9957T4YNG5YKnNQuu+xiflgaWh1yyCF9tNcAAAAA0LteTTrl+rqNflPpYHo11XhNJQSA/jkUryY5xE6Fk0PxlqxuFp05wOdxSk21RwbWWUPx3KaJeakreui0//77myXXqqhRo0alrfN6vTJw4EBZvnx5j/dBx1K2trZKofj9QQkGAxIIMP4alSMYDKadAkClCAZCEnTFCnpsUIhelAU/nglGJBqLmxl3dHEmTxnug3Ll9/vTTvtCSKuaWsOytjFgQqdoVHs1eaS+ShsJxyUSCUkk0me7A6DEeZwiHp8jMSteOCJr1wVl+aqN4nJpw3Kn1Nd4pL7Ga5qT6yx5fT3rbi7HMzmHTmeffbYJeLqiBx5//etfpRD0D0K2ffD5fL364BsOh2XevHlSKE3+qCxZE5Sm9UXP+IC8W7Z8Ga8qgIrSEohKjdcloaauj3t6ascdd8z7fRb6eOab1QFpDcbF6dSmoBo26beyIk6HQ9waQLnEHASbQEqvc2gwlTy1bZs4zxdxKB0LFy4s6P3H4jpkRiubItLkj5np1N0uh1R5nebfS1NBHx1ApVZLhiJxCUfiEo3Hze8Ur9sptVVOqfY4TSDlcRf+b20uxzM5pyBbb721DB48WIqpqqoqa28pDZx6842hx+ORzTbbTAplfVNQpGqDaRQGVAr9d6eB0+hRo03wCwCVorE5JA21Hpk0doCUk0Ifz8Sr1pmDW+0voQe7uuiBbiyWqLIy6/Q0HhfrMFfbn8YcDnE4HRLTlRo2JS/rkACdoUcPlD3uxLez9iqqzMtUVaEQX2hr4DRhwgSprq4uSFVTU7KqKeAPS7U3JkNHeEw1AhWCAPIpMRQvan7viCMucY9LPFUeGTe8LtUzqli6Vem03XbbSTGNHDmyXRWVhlAbNmzoVRNx/aVfiDJ3SyDiFJ8vYEIzoNJo4MR7G0AlCUQc4qv2FvTYoBAKfTzj87WK2xM3zUy7Q0OoeCqgsi1xEX/ICq/C4tCIypEYQqCczkQViFUZpVVSWknl0QNpDaxcTtP7pi2csp9PbGvdB9AZDZzy9W9H3786bE6/dF7X6DfDUrUZ8NCBVRU3DTqA0lElIvW2v7vBUNTMfufy+KSmpnCV27koq/FeO++8s8yaNUsWLVok48ePN+veeecdc/rtb3+7yHsHAACATBoWiQ676+ZLo/2jMsOqUCgmgWA0VWWlH/AdqaAqEVBpFZXLVFNJIohyaCVVoqrKBFUeDaKc7aqozKmrbT2VKOh2r6aWkKxp9JuZ6KLWDHQDqnkvAehT+ndPKyo1dCoFJR06RaNRWbdundTX15tKiu23396ESxdccIFcc801plnm1VdfLYcffnivKp0AAABQWkyFkg7D62VVlTZq1mEH9iGB3aqqciYqqjS0oqoK2aqadAa6tbaqJm3qS1UTACTk9Hf8iCOOkEGDBklf0xnpDjjgAJkxY4YceeSR5luCu+66S6699lo54YQTzLCegw46SKZPn97n+wYAAIDSUo5VVYmG6wwBLCfhSNT0fjNVTS0hiUbjZuryIQOqE+9BAED3QicNfXKxdOlSs60GQz1x0003pV0eO3aszJ8/P23dkCFD5I477ujR/QMAAAB9XlVl/j+9qsrkY1RVlQ0NG1uSvZq0qqk1EDHhYn01VU0A0Jmc/rbGYjH59a9/LU8++aS5rMPZLrzwQnHp3LjJZt7333+//Pa3vzUzWgEAAACVLK9VVeGeV1WZoX/JoYBUVRWmqsn0atoQkMaWYKqqaehAqpoAIG+h09133y333XeffOtb35K6ujqZM2eO6bP085//XN577z25/PLL5ZtvvjHNvfU8AAAAgAqoqjK3cfbLqibt1bTGVtWkMzd63cWdehwAyk1Of+9efPFF+cEPfiAzZ840lx988EF55JFHZPPNN5epU6eKx+ORiy66SE488URzHgAAAEB+UFXVx1VNjQFpbE5WNfmoagKAgodO2tD70ksvTV0+7LDD5Oabb5bLLrtMdtllF7nxxhtl5MiRvdoRAAAAAJVVVZUY/udKNVhPa6Zua7JerKoqq6ppXVOTrN0YMOepagKA/Mnpb5Df70+bvW7gwIHmdNddd5U777zTjDkHAAAA0D+rquyBVPteVaFUr6o2+elVZYKq5OXu0BBt3caALF0bloBrg7jcHqnxeejVBAB51p0vPlL0mwx1/PHHEzgBAAAA/ZyGPs5CVVVpnhSXtKoqDZv0I0l3q6o0+NJeTVrVtKGxRVqDUdmkyiP1dTUFe20AoD/rUehkqa2tzd+eAAAAAOg3ilFVpblVNBaTap9HBjX4ZOP6REgFACjB0IlhdQAAAADKpapKoyh3sm9UIBAt2D4CABJy/l39k5/8pN26H/3oR1mDqE8//TTXuwUAAACAPqmqAgCUYOh0zjnnFH5PAAAAAAAAUDEInQAAAAAAAJB3dM0DAAAAAABA3hE6AQAAAAAAIO8InQAAAAAAAJB3hE4AAAAAAADIO0InAAAAAAAAFGf2ukwLFiyQ//u//5PW1laJxWJp1zkcDjn77LPztX8AAAAAAADoD6HTM888I9OnT5d4PJ71ekInAAAAAAAAdDt0uueee2SPPfaQ66+/XkaOHGlCJgAAAAAAAKBXPZ2WLVsmp556qowaNYrACQAAAAAAAPkJnSZOnCjLly/v7s0AAAAAAADQj3Q7dLroootk9uzZ8s4770gwGCzMXgEAAAAAAKB/9XS64YYbZO3atXLiiSdmvV57PH366af52DcAAAAAAACUqW6HTj/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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def plot_size_effect_comparison(df_data, ppcs, palette=None):\n", " \"\"\"Overlay multiple models' size-effect PPCs in two panels — one panel\n", " per difficulty bin extreme (hard vs easy) so the curve shapes are\n", " legible.\"\"\"\n", " sub_obs = (add_bins(df_data).query('correct')\n", " .groupby(['subject', 'stake_bin', 'stake_mid', 'diff_bin'],\n", " observed=True)['rt'].mean().reset_index())\n", " pp_models = []\n", " for name, ppc in ppcs.items():\n", " pp = ppc_size_effect(df_data, ppc)\n", " pp['model'] = name\n", " pp_models.append(pp)\n", " pp_long = pd.concat(pp_models, ignore_index=True)\n", " if palette is None:\n", " palette = {'DDM': 'C0', 'RDM': 'C4'}\n", "\n", " fig, axes = plt.subplots(1, 2, figsize=(12, 4.5), sharey=True)\n", " for ax, diff in zip(axes, ['hard', 'easy']):\n", " d_obs = sub_obs[sub_obs['diff_bin'] == diff]\n", " d_pp = pp_long[pp_long['diff_bin'] == diff]\n", " sns.lineplot(data=d_pp, x='stake_mid', y='simulated_rt', hue='model',\n", " palette=palette, errorbar=('pi', 90),\n", " err_style='band', err_kws={'alpha': 0.2}, lw=2, ax=ax)\n", " sns.lineplot(data=d_obs, x='stake_mid', y='rt', errorbar=None,\n", " marker='o', ms=8, lw=0, color='black', ax=ax,\n", " label='Data', legend=True)\n", " ax.set_xscale('log')\n", " ax.set_xlabel(r'Stake size $\\sqrt{n_1 n_2}$ (log scale)')\n", " ax.set_ylabel('Mean RT (s)')\n", " ax.set_title(f'{diff.capitalize()} trials')\n", " sns.despine(ax=ax)\n", " plt.tight_layout()\n", " return fig\n", "\n", "\n", "plot_size_effect_comparison(df, {'DDM': ppc_ddm, 'RDM': ppc_rdm})" ] }, { "cell_type": "markdown", "id": "23", "metadata": {}, "source": [ "### 2. Choice-conditional RT: correct vs error\n", "\n", "The classic textbook discriminator. Under bauer's basic DDM (unbiased start\n", "$z=0.5$, no across-trial drift variability $s_v$), the Wiener first-passage\n", "density is symmetric in the sign of drift — so **mean RT for correct\n", "responses equals mean RT for errors**. With variability (e.g. $s_v$), the\n", "DDM produces *fast errors* (drift draws below threshold lead to faster\n", "mistakes); without variability, mean(RT|error) = mean(RT|correct).\n", "\n", "The race-diffusion model does **not** share that symmetry. Each accumulator\n", "has its own inverse-Gaussian first-passage time. When the \"wrong\" accumulator\n", "wins despite a smaller drift, it must do so via a left-tail draw — but the\n", "winning IG distribution conditioned on winning has a longer mean than\n", "the losing one's mean. Result: **mean(RT|error) > mean(RT|correct)** in\n", "the RDM, more so on easier trials where drift differences are largest." ] }, { "cell_type": "code", "execution_count": null, "id": "24", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def conditional_rt(df_data, ppc, kind):\n", " \"\"\"kind='data' uses df_data['rt']; kind='ppc' uses ppc.\"\"\"\n", " d = add_bins(df_data)\n", " if kind == 'data':\n", " out = (d.groupby(['diff_bin', 'correct'], observed=True)['rt']\n", " .mean().reset_index().rename(columns={'rt': 'mean_rt'}))\n", " out['source'] = 'Data'\n", " return out\n", " p = ppc.join(d[['diff_bin', 'n1', 'n2']], how='left').reset_index()\n", " p['sim_correct'] = p['simulated_choice'].astype(bool) == (p['n2'] > p['n1'])\n", " return (p.groupby(['ppc_sample', 'diff_bin', 'sim_correct'],\n", " observed=True)['simulated_rt'].mean()\n", " .reset_index().rename(columns={'simulated_rt': 'mean_rt',\n", " 'sim_correct': 'correct'}))\n", "\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(11, 4.5), sharey=True)\n", "hue_order = [True, False]\n", "hue_labels = {True: 'correct', False: 'error'}\n", "palette = {True: '#2c7bb6', False: '#d7191c'}\n", "\n", "for ax, name, ppc in [(axes[0], 'DDM', ppc_ddm), (axes[1], 'RDM', ppc_rdm)]:\n", " d_obs = conditional_rt(df, None, 'data')\n", " d_pp = conditional_rt(df, ppc, 'ppc')\n", "\n", " sns.pointplot(data=d_pp, x='diff_bin', y='mean_rt', hue='correct',\n", " hue_order=hue_order, palette=palette,\n", " order=['hard', 'medium', 'easy'],\n", " errorbar=('pi', 90), dodge=0.25, ax=ax,\n", " marker='_', linestyles='none', markersize=18,\n", " err_kws={'linewidth': 2}, legend=False)\n", " sns.pointplot(data=d_obs, x='diff_bin', y='mean_rt', hue='correct',\n", " hue_order=hue_order, palette=palette,\n", " order=['hard', 'medium', 'easy'],\n", " errorbar=None, dodge=0.25, ax=ax,\n", " markers='o', markersize=8, linestyles='none', legend=False)\n", " # Manual legend\n", " from matplotlib.lines import Line2D\n", " handles = [\n", " Line2D([0], [0], marker='o', ls='', color=palette[True], label='correct (data)'),\n", " Line2D([0], [0], marker='o', ls='', color=palette[False], label='error (data)'),\n", " Line2D([0], [0], marker='_', ls='', color=palette[True], label='correct (PPC)', mew=2),\n", " Line2D([0], [0], marker='_', ls='', color=palette[False], label='error (PPC)', mew=2),\n", " ]\n", " ax.legend(handles=handles, fontsize=8, loc='upper right')\n", " ax.set_title(f'{name}: RT | correctness')\n", " ax.set_xlabel('Difficulty')\n", " ax.set_ylabel('Mean RT (s)')\n", " sns.despine(ax=ax)\n", "\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "25", "metadata": {}, "source": [ "Look at the easier difficulty levels: in the data, errors tend to be slightly\n", "slower than corrects (a small but classic finding). The DDM PPC has the\n", "correct/error markers nearly stacked — its predicted means are essentially\n", "equal because there's no across-trial drift variability. The RDM PPC has them\n", "visibly separated, with errors above corrects, especially on easy trials.\n", "\n", "If your data show **fast errors** (errors *faster* than corrects), neither of\n", "these models will fit it cleanly — you'd need a DDM with $s_v$ added, or a\n", "race model with starting-point variability." ] }, { "cell_type": "markdown", "id": "26", "metadata": {}, "source": [ "## The ablation: `advantage=False` produces a flat psychometric\n", "\n", "We now fit the same race model with the simpler decomposition $v_k = w_0 + \\tilde\\mu_k$\n", "and plot its psychometric. This run is shorter (smaller draws, fewer chains)\n", "because the goal is just to demonstrate the failure mode, not to draw\n", "conclusions from the posterior." ] }, { "cell_type": "code", "execution_count": null, "id": "27", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading cached rdm_noadv fit from /Users/gdehol/.bauer_tutorial_cache/garcia_n8_rtmin200_rdm_noadv.nc\n" ] } ], "source": [ "m_rdm_noadv = RaceDiffusionMagnitudeComparisonModel(\n", " paradigm=df,\n", " fit_separate_evidence_sd=True,\n", " fit_prior=True,\n", " advantage=False, # the ablation\n", ")\n", "idata_rdm_noadv = fit_or_load(m_rdm_noadv, 'rdm_noadv',\n", " draws=400, tune=400, chains=2)" ] }, { "cell_type": "code", "execution_count": null, "id": "28", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ppc_noadv = m_rdm_noadv.ppc(df, idata_rdm_noadv, n_posterior_samples=40,\n", " progressbar=False)\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12.5, 4.5))\n", "plot_ppc_psychometric(df, ppc_noadv, ax=axes[0],\n", " title='RDM advantage=False — flat psychometric')\n", "plot_ppc_size_effect(df, ppc_noadv, ax=axes[1],\n", " title='RDM advantage=False — size effect')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "29", "metadata": {}, "source": [ "You should see the psychometric in the right-hand model has lost most of its\n", "slope: the PPC mean is nearly flat, hovering near 0.5 across the entire range\n", "of $\\log(n_2/n_1)$. The data points are way above and below the model.\n", "\n", "**Why this happens, mechanically.** With both accumulators starting from zero\n", "and drifting at $w_0 + \\tilde\\mu_k$ where $w_0$ dominates, the two races are\n", "driven by *almost the same* drift rate. The Wiener noise then dominates the\n", "relative timing, so choice is near-random. The model can still fit RT\n", "*magnitudes* (because $w_0$ controls overall race speed), but it cannot select\n", "between the options based on log-magnitude.\n", "\n", "The advantage form solves this by giving the two accumulators **opposite-signed**\n", "drift contributions from the difference term, $\\pm w_d (\\tilde\\mu_1 - \\tilde\\mu_2)$,\n", "so even small log-ratios produce systematic drift asymmetries.\n", "\n", "This is why bauer's race models default to `advantage=True`. The bauer source\n", "explicitly warns against the ablation in `bauer/models/race.py` and the\n", "project-level CLAUDE.md." ] }, { "cell_type": "markdown", "id": "30", "metadata": {}, "source": [ "## Choosing between the DDM and the RDM\n", "\n", "Both models use the same Bayesian-observer front-end and produce highly similar\n", "fits to choice + RT data. Practical considerations:\n", "\n", "| | DDM | RDM (advantage) |\n", "|---|---|---|\n", "| **Likelihood** | Wiener WFPT (HSSM) — analytic, fast | Inverse-Gaussian race — analytic, slightly faster |\n", "| **Free params (beyond cognitive)** | $a, t_0$ (and optional $z, v_{\\text{scale}}$) | $a, t_0, w_0, w_d, w_s$ |\n", "| **Geometric story** | Single signed evidence stream | Two parallel evidence streams |\n", "| **Multi-alternative extension** | Hard (no clean signed-evidence in $K$ alternatives) | Trivial: add one accumulator per option |\n", "| **Starting-point bias $z$** | Yes (response bias before evidence) | No (each accumulator starts at 0) |\n", "| **Size effect on RT** | Indirect via prior shrinkage | Direct via $w_s$ |\n", "| **Identifiability** | Clean — drift uses SNR, $\\sigma_p$ enters drift mean only | Clean once $\\sigma=1$ is fixed (see notes/race_diffusion_math.md §6) |\n", "\n", "In bauer, all four classes (`DDM*ComparisonModel`, `DDM*RiskModel`,\n", "`RaceDiffusion*ComparisonModel`, `RaceDiffusion*RiskModel`) are drop-in\n", "replacements for the static-choice base classes, so you can swap freely once\n", "your data has an `rt` column (in seconds, $> 0$).\n", "\n", "For risky-choice tasks, both DDM and RDM variants exist (`DDMRiskModel`,\n", "`RaceDiffusionRiskModel`) and use the same `_drift_from_snr` /\n", "`_drifts_from_post_and_prior` machinery — probabilities enter as a deterministic\n", "shift $\\log(p_2/p_1)$ on the perceived log-magnitude difference (see\n", "`bauer/models/ddm.py` and `bauer/models/race.py`)." ] }, { "cell_type": "markdown", "id": "31", "metadata": {}, "source": [ "## Take-aways\n", "\n", "- **RT carries information that choice-only models discard.** The size effect\n", " is the cleanest demo: faster RTs at larger stakes at fixed difficulty.\n", " A static psychometric model cannot predict it at all.\n", "- **The DDM and RDM share the same Bayesian-observer cognitive front-end.**\n", " They differ only in the decision rule: a single signed accumulator vs two\n", " racing accumulators.\n", "- **Both reproduce the size effect, by different mechanisms.** The DDM gets\n", " it through prior shrinkage on the perceived log-magnitude difference. The\n", " RDM gets it explicitly via $w_s$, the summary-of-magnitudes drift\n", " coefficient.\n", "- **The textbook DDM/RDM dissociator is choice-conditional RT.** Bauer's DDM\n", " (no $s_v$) predicts mean(RT|correct) = mean(RT|error). The RDM predicts\n", " mean(RT|error) > mean(RT|correct), more so on easier trials. If your data\n", " show the *opposite* — fast errors — neither basic model will fit, and you\n", " need to add across-trial variability ($s_v$).\n", "- **Aggregate before computing the PPC band.** Per-(ppc_sample, bin) means\n", " give a band that reflects parameter uncertainty; raw per-trial values give\n", " a band dominated by within-trial Wiener noise (visually huge, not what you\n", " want).\n", "- **Use `advantage=True` for race models.** The simpler $v_k = w_0 + \\tilde\\mu_k$\n", " decomposition is theoretically appealing but produces a flat psychometric\n", " in practice — the difference term $w_d (\\tilde\\mu_i - \\tilde\\mu_j)$ is\n", " what gives the race its discriminability.\n", "- **Diagnostics first.** $\\hat r \\le 1.01$, ESS bulk $\\ge 100$/chain, and few\n", " divergences before interpreting any posterior. RDM with `fit_prior=True`\n", " often needs `tune=1500` and `target_accept=0.98` (we used those above).\n", "\n", "Next steps in the bauer ecosystem:\n", "\n", "- **Flexible noise** — `DDMFlexibleNoise*Model` / `RaceDiffusionFlexibleNoise*Model`\n", " swap scalar $\\nu_k$ for a B-spline $\\sigma_k(n)$, just like in lesson 4.\n", "- **Regression on accumulator parameters** —\n", " `DDMFlexibleNoiseRiskRegressionModel` and the race equivalent let you put a\n", " patsy formula on $a$, $t_0$, $w_0$, etc. (e.g. `regressors={'a':\n", " 'stimulation_condition'}` for TMS designs).\n", "- **JAX backends** — set `backend='numpyro'` in `m.sample()` for ~3–10× speed-up\n", " on CPU and 5–30× on GPU (see CLAUDE.md). The pymc backend used here works\n", " out-of-the-box but is slower for these models." ] } ], "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.15" } }, "nbformat": 4, "nbformat_minor": 5 }