Demo - Bias in Word Embedding ============================= In this demo, we are going to work with three complete word embeddings at once in the notebook, which will take a lot of memory (~20GB). Therefore, if your machine doesn’t have plenty of RAM, it is possible to perform the analysis either separately for each word embeddings or only on one. Imports ------- .. code:: ipython3 import matplotlib.pylab as plt from gensim import downloader from gensim.models import KeyedVectors Download and Load Word Embeddings --------------------------------- `Google’s Word2Vec `__ - Google News dataset (100B tokens, 3M vocab, cased, 300d vectors, 1.65GB download) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_path = downloader.load('word2vec-google-news-300', return_path=True) print(w2v_path) w2v_model = KeyedVectors.load_word2vec_format(w2v_path, binary=True) .. parsed-literal:: /home/users/shlohod/gensim-data/word2vec-google-news-300/word2vec-google-news-300.gz `Facebook’s fastText `__ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 fasttext_path = downloader.load('fasttext-wiki-news-subwords-300', return_path=True) print(fasttext_path) fasttext_model = KeyedVectors.load_word2vec_format(fasttext_path) .. parsed-literal:: /home/users/shlohod/gensim-data/fasttext-wiki-news-subwords-300/fasttext-wiki-news-subwords-300.gz `Stanford’s Glove `__ - Common Crawl (840B tokens, 2.2M vocab, cased, 300d vectors, 2.03 GB download) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 import os import gzip import shutil from urllib.request import urlretrieve from zipfile import ZipFile from pathlib import Path from gensim.scripts.glove2word2vec import glove2word2vec GLOVE_PATH = None if GLOVE_PATH is None: print('Downloading...') glove_zip_path, _ = urlretrieve('http://nlp.stanford.edu/data/glove.840B.300d.zip') glob_dir_path = Path(glove_zip_path).parent print('Unzipping...') with ZipFile(glove_zip_path, 'r') as zip_ref: zip_ref.extractall(str(glob_dir_path)) print('Converting to Word2Vec format...') glove2word2vec(glob_dir_path / 'glove.840B.300d.txt', glob_dir_path / 'glove.840B.300d.w2v.txt') print('Loading...') glove_model = KeyedVectors.load_word2vec_format(glob_dir_path / 'glove.840B.300d.w2v.txt') .. parsed-literal:: Downloading... Unzipping... Converting to Word2Vec format... Loading... Bolukbasi Bias Measure and Debiasing ------------------------------------ Based on: Bolukbasi Tolga, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam T. Kalai. `Man is to computer programmer as woman is to homemaker? debiasing word embeddings `__. NIPS 2016. .. code:: ipython3 from responsibly.we import GenderBiasWE, most_similar Create a gender bias word embedding object (``GenderBiasWE``) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_bias_we = GenderBiasWE(w2v_model, only_lower=False, verbose=True) .. parsed-literal:: Identify direction using pca method... Principal Component Explained Variance Ratio --------------------- -------------------------- 1 0.605292 2 0.127255 3 0.099281 4 0.0483466 5 0.0406355 6 0.0252729 7 0.0232224 8 0.0123879 9 0.00996098 10 0.00834613 Evaluate the Word Embedding ~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_biased_evaluation = w2v_gender_bias_we.evaluate_word_embedding() Word pairs ^^^^^^^^^^ .. code:: ipython3 w2v_biased_evaluation[0] .. raw:: html
pearson_r pearson_pvalue spearman_r spearman_pvalue ratio_unkonwn_words
MEN 0.682 0.00 0.699 0.00 0.000
Mturk 0.632 0.00 0.656 0.00 0.000
RG65 0.801 0.03 0.685 0.09 0.000
RW 0.523 0.00 0.553 0.00 33.727
SimLex999 0.447 0.00 0.436 0.00 0.100
TR9856 0.661 0.00 0.662 0.00 85.430
WS353 0.624 0.00 0.659 0.00 0.000
Analogies ^^^^^^^^^ .. code:: ipython3 w2v_biased_evaluation[1] .. raw:: html
score
Google 0.740
MSR-syntax 0.736
Calculate direct gender bias ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_bias_we.calc_direct_bias() .. parsed-literal:: 0.07307904523121492 Plot the projection of the most extreme professions on the gender direction ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_bias_we.plot_projection_scores(); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_23_0.png Plot the distribution of projections of the word groups that are being used for the auditing and adjusting the model ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. **profession_name** - List of profession names, neutral and gender spcific. 2. **neutral_profession_name** - List of only neutral profession names. 3. **specific_seed** - Seed list of gender specific words. 4. **specific_full** - List of the learned specifc gender over all the vocabulary. 5. **specific_full_with_definitional_equalize** - **specific_full** with the words that were used to define the gender direction. 6. **neutral_words** - List of all the words in the vocabulary that are not part of **specific_full_with_definitional_equalize**. .. code:: ipython3 w2v_gender_bias_we.plot_dist_projections_on_direction(); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_25_0.png Generate analogies along the gender direction ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. container:: alert alert-warning Warning! The following paper criticize the generating analogies process when used with ``unrestricted=False`` (as in the original Tolga’s paper): Nissim, M., van Noord, R., van der Goot, R. (2019). `Fair is Better than Sensational: Man is to Doctor as Woman is to Doctor `__. Using ``unrestricted=False`` will prevent the generation of analogies of the form ``a:x::b:x`` such as ``she:doctor::he:doctor``. Therefore, the method my introduce “fake” bias. ``unrestricted`` is set to ``False`` by default. .. code:: ipython3 w2v_gender_bias_we.generate_analogies(131)[100:] .. parsed-literal:: /project/responsibly/responsibly/we/bias.py:528: UserWarning: Not Using unrestricted most_similar may introduce fake biased analogies. .. raw:: html
she he distance score
100 Michelle Kris 0.998236 0.278537
101 Marie Rene 0.964208 0.277007
102 Because Obviously 0.831023 0.275847
103 Freshman Rookie 0.860134 0.275070
104 L. D. 0.547581 0.270656
105 gender racial 0.929380 0.270301
106 designer architect 0.998560 0.269882
107 pitcher starter 0.880994 0.269517
108 dress garb 0.922170 0.268413
109 midfielder playmaker 0.794748 0.264263
110 teen youth 0.991954 0.263156
111 Kim Lee 0.912462 0.262296
112 wife nephew 0.920047 0.260974
113 freshmen rookies 0.926256 0.258481
114 tissue cartilage 0.916341 0.255413
115 Clinton Kerry 0.870915 0.253803
116 friend buddy 0.778140 0.253237
117 Madonna Jay_Z 0.992756 0.249955
118 sophomore pounder 0.994297 0.249418
119 French Frenchman 0.930501 0.245944
120 Hillary_Clinton Rudy_Giuliani 0.991420 0.245931
121 grandchildren uncle 0.977610 0.245361
122 designers architects 0.958956 0.244383
123 amazing unbelievable 0.599789 0.244071
124 nurses doctors 0.860856 0.242197
125 incredibly obviously 0.995428 0.240613
126 designed engineered 0.955340 0.240351
127 athletes players 0.981356 0.236221
128 royal king 0.975726 0.235774
129 cigarette cigar 0.874594 0.235614
130 Ali Omar 0.782018 0.235450
Let’s examine the analogy #129: ``she:volleyball::he:football``. We can try to reproduce it with by applying the arithmetic by ourselves: ``football - he + she`` with *responsibly*\ ’s ``most_similar``: .. code:: ipython3 most_similar(w2v_model, positive=['volleyball', 'he'], negative=['she'], topn=3) .. parsed-literal:: [('volleyball', 0.6795172777227771), ('football', 0.5900704595582971), ('basketball', 0.5792855302799551)] While *gensim*\ ’s ``most_similar`` drops results which are in the original equation (i.e. ``positives`` or ``negatives``) .. code:: ipython3 w2v_model.most_similar(positive=['volleyball', 'he'], negative=['she'], topn=3) .. parsed-literal:: [('football', 0.5900704860687256), ('basketball', 0.5792855620384216), ('soccer', 0.5567079782485962)] Because of Tolga’s method of generating analogies which are used in ``generate_analogies``, it is not possible to come up with analogies that have the form ``she:X::he:X``, that doesn’t reflect a gender bias. Therefore, the method itself may introduce “fake” bias. We can run ``generate_analogies`` with ``unrestricted=True`` to address this issue. Then, for each generated analogies, *responsibly*\ ’s ``most_similar`` function will be called twice for ``she:X::he:Y`` - once for getting ``X`` and second for ``Y``. An analogy is considered to be *matched* if the generated ``X`` and ``Y`` match the results from ``most_similar``. Note: running with ``unrestricted=True`` may take some minutes on the original word embedding. Therefore we will use a reduced version of Word2Vec which is available in *responsibly*. .. code:: ipython3 from responsibly.we import load_w2v_small model_w2v_small = load_w2v_small() w2v_small_gender_bias_we = GenderBiasWE(model_w2v_small) .. code:: ipython3 w2v_small_gender_bias_we.generate_analogies(50, unrestricted=True)[40:] .. raw:: html
she he distance score most_x most_y match
40 sexy manly 0.957372 0.315748 manly sexy False
41 females males 0.540050 0.309507 females males True
42 pink red 0.884951 0.307515 red pink False
43 wonderful great 0.685876 0.303149 great wonderful False
44 chair chairman 0.876192 0.300693 chairwoman chair False
45 friends buddies 0.771554 0.299829 buddies friends False
46 female male 0.564742 0.295819 male female False
47 beauty grandeur 0.995714 0.293428 grandeur beauty False
48 teenager youngster 0.726009 0.289508 youngster teenager False
49 cute goofy 0.823867 0.289354 goofy cute False
Generate the Indirect Gender Bias in the direction ``softball``-``football`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_bias_we.generate_closest_words_indirect_bias('softball', 'football') .. raw:: html
projection indirect_bias
end word
softball bookkeeper 0.178528 0.201158
receptionist 0.158782 0.672343
registered_nurse 0.156625 0.287150
waitress 0.145104 0.317842
paralegal 0.142549 0.372737
football cleric -0.165978 0.017845
maestro -0.180458 0.415805
pundit -0.193208 0.101227
businessman -0.195981 0.170079
footballer -0.337858 0.015366
Association with percentage of female in occupation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 import pandas as pd from responsibly.we.data import OCCUPATION_FEMALE_PRECENTAGE pd.Series(OCCUPATION_FEMALE_PRECENTAGE).sort_values().plot(kind='barh', figsize=(5, 10)); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_38_0.png .. code:: ipython3 f, ax = plt.subplots(1, figsize=(14, 10)) w2v_gender_bias_we.plot_factual_association(ax=ax); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_39_0.png Perform hard-debiasing ~~~~~~~~~~~~~~~~~~~~~~ The table shows the details of the equalize step on the equality sets. .. code:: ipython3 w2v_gender_debias_we = w2v_gender_bias_we.debias('hard', inplace=False) .. parsed-literal:: Neutralize... .. parsed-literal:: 100%|████████████████████████████████████████████████████████████████████████| 2997983/2997983 [02:12<00:00, 22549.86it/s] .. parsed-literal:: Equalize... Equalize Words Data (all equal for 1-dim bias space (direction): equalized_projected_scalar projected_scalar scaling ------------------------ ---------------------------- ------------------ --------- (0, 'twin_brother') -0.490669 -0.236034 0.490669 (0, 'twin_sister') 0.490669 0.335621 0.490669 (1, 'she') 0.443113 0.469059 0.443113 (1, 'he') -0.443113 -0.362353 0.443113 (2, 'king') -0.42974 -0.147191 0.42974 (2, 'queen') 0.42974 0.349422 0.42974 (3, 'brother') -0.379581 -0.215975 0.379581 (3, 'sister') 0.379581 0.30764 0.379581 (4, 'SHE') 0.540225 0.385345 0.540225 (4, 'HE') -0.540225 -0.120598 0.540225 (5, 'spokesman') -0.34572 -0.157774 0.34572 (5, 'spokeswoman') 0.34572 0.299861 0.34572 (6, 'son') -0.289697 -0.121614 0.289697 (6, 'daughter') 0.289697 0.292953 0.289697 (7, 'BUSINESSMAN') -0.433807 -0.115595 0.433807 (7, 'BUSINESSWOMAN') 0.433807 0.221015 0.433807 (8, 'prostate_cancer') -0.323124 -0.133314 0.323124 (8, 'ovarian_cancer') 0.323124 0.226155 0.323124 (9, 'SONS') -0.482901 -0.0158731 0.482901 (9, 'DAUGHTERS') 0.482901 0.162073 0.482901 (10, 'SON') -0.521962 0.0122388 0.521962 (10, 'DAUGHTER') 0.521962 0.171916 0.521962 (11, 'boy') -0.29452 -0.0826128 0.29452 (11, 'girl') 0.29452 0.318458 0.29452 (12, 'businessman') -0.433252 -0.218544 0.433252 (12, 'businesswoman') 0.433252 0.379637 0.433252 (13, 'Daughter') 0.469635 0.22278 0.469635 (13, 'Son') -0.469635 -0.168291 0.469635 (14, 'Testosterone') -0.438459 -0.0278472 0.438459 (14, 'Estrogen') 0.438459 0.140597 0.438459 (15, 'Gal') 0.59801 0.110373 0.59801 (15, 'Guy') -0.59801 -0.137855 0.59801 (16, 'He') -0.316178 -0.178255 0.316178 (16, 'She') 0.316178 0.330259 0.316178 (17, 'colt') -0.277647 0.038939 0.277647 (17, 'filly') 0.277647 0.248487 0.277647 (18, 'Uncle') -0.506537 -0.216235 0.506537 (18, 'Aunt') 0.506537 0.347936 0.506537 (19, 'Dad') -0.351847 -0.0842964 0.351847 (19, 'Mom') 0.351847 0.245609 0.351847 (20, 'monastery') -0.41815 0.00771394 0.41815 (20, 'convent') 0.41815 0.264842 0.41815 (21, 'Sons') -0.54096 -0.0837717 0.54096 (21, 'Daughters') 0.54096 0.287506 0.54096 (22, 'her') 0.430368 0.446157 0.430368 (22, 'his') -0.430368 -0.333555 0.430368 (23, 'MALES') -0.357316 0.122686 0.357316 (23, 'FEMALES') 0.357316 0.179751 0.357316 (24, 'Grandfather') -0.404502 -0.106806 0.404502 (24, 'Grandmother') 0.404502 0.266623 0.404502 (25, 'MAN') -0.416802 -0.0911706 0.416802 (25, 'WOMAN') 0.416802 0.257037 0.416802 (26, 'Her') 0.272142 0.267272 0.272142 (26, 'His') -0.272142 -0.122555 0.272142 (27, 'Father') -0.498544 -0.197701 0.498544 (27, 'Mother') 0.498544 0.312446 0.498544 (28, 'SCHOOLBOY') -0.354319 -0.0530171 0.354319 (28, 'SCHOOLGIRL') 0.354319 0.26279 0.354319 (29, 'Males') -0.356464 0.0607782 0.356464 (29, 'Females') 0.356464 0.190471 0.356464 (30, 'Monastery') -0.525956 0.0928539 0.525956 (30, 'Convent') 0.525956 0.210066 0.525956 (31, 'WOMAN') 0.416802 0.416802 0.416802 (31, 'MAN') -0.416802 -0.416802 0.416802 (32, 'gelding') -0.293829 0.0329541 0.293829 (32, 'mare') 0.293829 0.25824 0.293829 (33, 'BROTHER') -0.39397 -0.0290051 0.39397 (33, 'SISTER') 0.39397 0.214365 0.39397 (34, 'NEPHEW') -0.391999 0.0409397 0.391999 (34, 'NIECE') 0.391999 0.133487 0.391999 (35, 'Woman') 0.392149 0.238867 0.392149 (35, 'Man') -0.392149 -0.184176 0.392149 (36, 'Herself') 0.479517 0.29538 0.479517 (36, 'Himself') -0.479517 -0.220471 0.479517 (37, 'FATHERHOOD') -0.391908 -0.00414218 0.391908 (37, 'MOTHERHOOD') 0.391908 0.275103 0.391908 (38, 'HIMSELF') -0.388876 -0.148449 0.388876 (38, 'HERSELF') 0.388876 0.247386 0.388876 (39, 'Dads') -0.413548 0.0235679 0.413548 (39, 'Moms') 0.413548 0.274793 0.413548 (40, 'UNCLE') -0.55611 -0.0985665 0.55611 (40, 'AUNT') 0.55611 0.23314 0.55611 (41, 'EX_GIRLFRIEND') 0.351169 0.0955083 0.351169 (41, 'EX_BOYFRIEND') -0.351169 0.0702349 0.351169 (42, 'KING') -0.492517 0.00505558 0.492517 (42, 'QUEEN') 0.492517 0.189189 0.492517 (43, 'BROTHERS') -0.454497 -0.0106211 0.454497 (43, 'SISTERS') 0.454497 0.231603 0.454497 (44, 'FEMALE') 0.483523 0.179938 0.483523 (44, 'MALE') -0.483523 0.0635581 0.483523 (45, 'CHAIRMAN') -0.41157 -0.0895591 0.41157 (45, 'CHAIRWOMAN') 0.41157 0.115293 0.41157 (46, 'men') -0.37037 -0.0550618 0.37037 (46, 'women') 0.37037 0.344343 0.37037 (47, 'FATHER') -0.391596 -0.0389424 0.391596 (47, 'MOTHER') 0.391596 0.235139 0.391596 (48, 'GIRL') 0.395733 0.242016 0.395733 (48, 'BOY') -0.395733 -0.0573038 0.395733 (49, 'She') 0.316178 0.316178 0.316178 (49, 'He') -0.316178 -0.316178 0.316178 (50, 'grandfather') -0.365996 -0.166732 0.365996 (50, 'grandmother') 0.365996 0.214762 0.365996 (51, 'FELLA') -0.407682 0.0719139 0.407682 (51, 'GRANNY') 0.407682 0.238423 0.407682 (52, 'HER') 0.509812 0.267332 0.509812 (52, 'HIS') -0.509812 -0.0502074 0.509812 (53, 'MOTHER') 0.391596 0.391596 0.391596 (53, 'FATHER') -0.391596 -0.391596 0.391596 (54, 'HIS') -0.509812 -0.509812 0.509812 (54, 'HER') 0.509812 0.509812 0.509812 (55, 'GAL') 0.596187 0.185162 0.596187 (55, 'GUY') -0.596187 -0.0558901 0.596187 (56, 'Brothers') -0.525812 -0.186208 0.525812 (56, 'Sisters') 0.525812 0.283176 0.525812 (57, 'dads') -0.396782 0.0161552 0.396782 (57, 'moms') 0.396782 0.313671 0.396782 (58, 'Congressman') -0.440227 -0.094876 0.440227 (58, 'Congresswoman') 0.440227 0.330899 0.440227 (59, 'Boys') -0.372932 -0.0837174 0.372932 (59, 'Girls') 0.372932 0.265106 0.372932 (60, 'man') -0.346934 -0.220952 0.346934 (60, 'woman') 0.346934 0.340348 0.346934 (61, 'boys') -0.286694 -0.0196151 0.286694 (61, 'girls') 0.286694 0.306264 0.286694 (62, 'kings') -0.451522 -0.150457 0.451522 (62, 'queens') 0.451522 0.284191 0.451522 (63, 'Boy') -0.398915 -0.0954833 0.398915 (63, 'Girl') 0.398915 0.251796 0.398915 (64, 'dudes') -0.420662 -0.0660332 0.420662 (64, 'gals') 0.420662 0.311196 0.420662 (65, 'fatherhood') -0.45719 -0.114388 0.45719 (65, 'motherhood') 0.45719 0.400818 0.45719 (66, 'grandpa') -0.342244 -0.08867 0.342244 (66, 'grandma') 0.342244 0.23426 0.342244 (67, 'girl') 0.29452 0.29452 0.29452 (67, 'boy') -0.29452 -0.29452 0.29452 (68, 'Grandsons') -0.518755 -0.00799486 0.518755 (68, 'Granddaughters') 0.518755 0.280871 0.518755 (69, 'fella') -0.500677 -0.139339 0.500677 (69, 'granny') 0.500677 0.223876 0.500677 (70, 'FATHERS') -0.496495 0.115495 0.496495 (70, 'MOTHERS') 0.496495 0.249673 0.496495 (71, 'FRATERNITY') -0.374105 0.0226484 0.374105 (71, 'SORORITY') 0.374105 0.164613 0.374105 (72, 'MALE') -0.483523 -0.483523 0.483523 (72, 'FEMALE') 0.483523 0.483523 0.483523 (73, 'His') -0.272142 -0.272142 0.272142 (73, 'Her') 0.272142 0.272142 0.272142 (74, 'Chairman') -0.47138 -0.171282 0.47138 (74, 'Chairwoman') 0.47138 0.378271 0.47138 (75, 'BOYS') -0.322782 -0.0660134 0.322782 (75, 'GIRLS') 0.322782 0.231138 0.322782 (76, 'he') -0.443113 -0.443113 0.443113 (76, 'she') 0.443113 0.443113 0.443113 (77, 'SPOKESMAN') -0.380453 -0.0499313 0.380453 (77, 'SPOKESWOMAN') 0.380453 0.0706001 0.380453 (78, 'Mother') 0.498544 0.498544 0.498544 (78, 'Father') -0.498544 -0.498544 0.498544 (79, 'BOY') -0.395733 -0.395733 0.395733 (79, 'GIRL') 0.395733 0.395733 0.395733 (80, 'congressman') -0.427999 -0.0735924 0.427999 (80, 'congresswoman') 0.427999 0.260272 0.427999 (81, 'Councilman') -0.397548 -0.127344 0.397548 (81, 'Councilwoman') 0.397548 0.343178 0.397548 (82, 'GRANDSON') -0.329135 -0.0209265 0.329135 (82, 'GRANDDAUGHTER') 0.329135 0.13067 0.329135 (83, 'male') -0.336739 0.083992 0.336739 (83, 'female') 0.336739 0.282941 0.336739 (84, 'King') -0.496294 -0.116789 0.496294 (84, 'Queen') 0.496294 0.245944 0.496294 (85, 'nephew') -0.34779 -0.199274 0.34779 (85, 'niece') 0.34779 0.251294 0.34779 (86, 'Fatherhood') -0.523357 -0.0710201 0.523357 (86, 'Motherhood') 0.523357 0.348078 0.523357 (87, 'prince') -0.417368 -0.009603 0.417368 (87, 'princess') 0.417368 0.316339 0.417368 (88, 'PRINCE') -0.450062 -0.00160602 0.450062 (88, 'PRINCESS') 0.450062 0.293144 0.450062 (89, 'Colt') -0.611685 -0.148979 0.611685 (89, 'Filly') 0.611685 0.228734 0.611685 (90, 'WIVES') -0.415113 0.0981047 0.415113 (90, 'HUSBANDS') 0.415113 0.19312 0.415113 (91, 'dad') -0.365253 -0.115006 0.365253 (91, 'mom') 0.365253 0.281311 0.365253 (92, 'gal') 0.51301 0.400741 0.51301 (92, 'guy') -0.51301 -0.326011 0.51301 (93, 'father') -0.332768 -0.147961 0.332768 (93, 'mother') 0.332768 0.300389 0.332768 (94, 'Schoolboy') -0.451227 -0.131485 0.451227 (94, 'Schoolgirl') 0.451227 0.241867 0.451227 (95, 'MARY') 0.356334 0.222307 0.356334 (95, 'JOHN') -0.356334 -0.0818515 0.356334 (96, 'wives') -0.402256 0.0785034 0.402256 (96, 'husbands') 0.402256 0.264852 0.402256 (97, 'Gelding') -0.543137 0.0701695 0.543137 (97, 'Mare') 0.543137 0.147159 0.543137 (98, 'Grandpa') -0.389706 -0.088718 0.389706 (98, 'Grandma') 0.389706 0.293524 0.389706 (99, 'chairman') -0.436074 -0.182156 0.436074 (99, 'chairwoman') 0.436074 0.388825 0.436074 (100, 'himself') -0.401098 -0.38296 0.401098 (100, 'herself') 0.401098 0.378141 0.401098 (101, 'GENTLEMEN') -0.504079 -0.0460637 0.504079 (101, 'LADIES') 0.504079 0.191514 0.504079 (102, 'DAUGHTER') 0.521962 0.521962 0.521962 (102, 'SON') -0.521962 -0.521962 0.521962 (103, 'Men') -0.429011 -0.0406838 0.429011 (103, 'Women') 0.429011 0.350025 0.429011 (104, 'Grandson') -0.436104 -0.184543 0.436104 (104, 'Granddaughter') 0.436104 0.262283 0.436104 (105, 'CONGRESSMAN') -0.362044 -0.038846 0.362044 (105, 'CONGRESSWOMAN') 0.362044 0.134128 0.362044 (106, 'Dudes') -0.511909 0.108169 0.511909 (106, 'Gals') 0.511909 0.224083 0.511909 (107, 'sons') -0.295192 -0.0671465 0.295192 (107, 'daughters') 0.295192 0.232942 0.295192 (108, 'HERSELF') 0.388876 0.388876 0.388876 (108, 'HIMSELF') -0.388876 -0.388876 0.388876 (109, 'ex_girlfriend') -0.320849 0.0607288 0.320849 (109, 'ex_boyfriend') 0.320849 0.184493 0.320849 (110, 'herself') 0.401098 0.401098 0.401098 (110, 'himself') -0.401098 -0.401098 0.401098 (111, 'males') -0.311424 0.0583918 0.311424 (111, 'females') 0.311424 0.251908 0.311424 (112, 'mother') 0.332768 0.332768 0.332768 (112, 'father') -0.332768 -0.332768 0.332768 (113, 'HE') -0.540225 -0.540225 0.540225 (113, 'SHE') 0.540225 0.540225 0.540225 (114, 'uncle') -0.343917 -0.184815 0.343917 (114, 'aunt') 0.343917 0.227356 0.343917 (115, 'Fella') -0.635087 -0.0236144 0.635087 (115, 'Granny') 0.635087 0.229781 0.635087 (116, 'councilman') -0.357917 -0.0988956 0.357917 (116, 'councilwoman') 0.357917 0.327105 0.357917 (117, 'schoolboy') -0.401826 -0.185449 0.401826 (117, 'schoolgirl') 0.401826 0.285677 0.401826 (118, 'fraternity') -0.439336 -0.126512 0.439336 (118, 'sorority') 0.439336 0.312585 0.439336 (119, 'MONASTERY') -0.476844 0.0618239 0.476844 (119, 'CONVENT') 0.476844 0.0779661 0.476844 (120, 'KINGS') -0.506902 -0.0580522 0.506902 (120, 'QUEENS') 0.506902 0.0699294 0.506902 (121, 'GRANDPA') -0.38419 0.0151106 0.38419 (121, 'GRANDMA') 0.38419 0.205817 0.38419 (122, 'Gentlemen') -0.556283 -0.0475263 0.556283 (122, 'Ladies') 0.556283 0.247173 0.556283 (123, 'catholic_priest') -0.491534 -0.0380949 0.491534 (123, 'nun') 0.491534 0.26478 0.491534 (124, 'Brother') -0.521082 -0.241616 0.521082 (124, 'Sister') 0.521082 0.345172 0.521082 (125, 'mary') 0.444525 0.192964 0.444525 (125, 'john') -0.444525 -0.0204266 0.444525 (126, 'DADS') -0.583846 0.0983991 0.583846 (126, 'MOMS') 0.583846 0.234249 0.583846 (127, 'Wives') -0.540185 0.104208 0.540185 (127, 'Husbands') 0.540185 0.153448 0.540185 (128, 'Male') -0.405189 0.0366158 0.405189 (128, 'Female') 0.405189 0.198377 0.405189 (129, 'Prince') -0.511457 -0.0959666 0.511457 (129, 'Princess') 0.511457 0.337395 0.511457 (130, 'Mary') 0.488704 0.301974 0.488704 (130, 'John') -0.488704 -0.251126 0.488704 (131, 'Female') 0.405189 0.405189 0.405189 (131, 'Male') -0.405189 -0.405189 0.405189 (132, 'DAD') -0.548123 -0.00731271 0.548123 (132, 'MOM') 0.548123 0.143416 0.548123 (133, 'Prostate_Cancer') -0.388372 -0.101902 0.388372 (133, 'Ovarian_Cancer') 0.388372 0.203867 0.388372 (134, 'Himself') -0.479517 -0.479517 0.479517 (134, 'Herself') 0.479517 0.479517 0.479517 (135, 'female') 0.336739 0.336739 0.336739 (135, 'male') -0.336739 -0.336739 0.336739 (136, 'Girl') 0.398915 0.398915 0.398915 (136, 'Boy') -0.398915 -0.398915 0.398915 (137, 'Man') -0.392149 -0.392149 0.392149 (137, 'Woman') 0.392149 0.392149 0.392149 (138, 'Son') -0.469635 -0.469635 0.469635 (138, 'Daughter') 0.469635 0.469635 0.469635 (139, 'Gentleman') -0.64165 -0.107577 0.64165 (139, 'Lady') 0.64165 0.331577 0.64165 (140, 'woman') 0.346934 0.346934 0.346934 (140, 'man') -0.346934 -0.346934 0.346934 (141, 'his') -0.430368 -0.430368 0.430368 (141, 'her') 0.430368 0.430368 0.430368 (142, 'grandsons') -0.324771 -0.0453894 0.324771 (142, 'granddaughters') 0.324771 0.23981 0.324771 (143, 'daughter') 0.289697 0.289697 0.289697 (143, 'son') -0.289697 -0.289697 0.289697 (144, 'Nephew') -0.589035 -0.104864 0.589035 (144, 'Niece') 0.589035 0.129172 0.589035 (145, 'COLT') -0.574654 0.0448574 0.574654 (145, 'FILLY') 0.574654 0.128587 0.574654 (146, 'fathers') -0.418326 -0.0428798 0.418326 (146, 'mothers') 0.418326 0.363402 0.418326 (147, 'Fraternity') -0.444296 -0.0604545 0.444296 (147, 'Sorority') 0.444296 0.255009 0.444296 (148, 'Fathers') -0.497203 -0.0100986 0.497203 (148, 'Mothers') 0.497203 0.278392 0.497203 (149, 'PROSTATE_CANCER') -0.366725 0.0937956 0.366725 (149, 'OVARIAN_CANCER') 0.366725 0.105068 0.366725 (150, 'GENTLEMAN') -0.415516 0.0409928 0.415516 (150, 'LADY') 0.415516 0.232875 0.415516 (151, 'Businessman') -0.47819 -0.219352 0.47819 (151, 'Businesswoman') 0.47819 0.316095 0.47819 (152, 'GRANDFATHER') -0.331654 0.000438667 0.331654 (152, 'GRANDMOTHER') 0.331654 0.197366 0.331654 (153, 'gentlemen') -0.471394 -0.0597054 0.471394 (153, 'ladies') 0.471394 0.31663 0.471394 (154, 'brothers') -0.401082 -0.199109 0.401082 (154, 'sisters') 0.401082 0.332171 0.401082 (155, 'MEN') -0.504133 0.0498845 0.504133 (155, 'WOMEN') 0.504133 0.268836 0.504133 (156, 'grandson') -0.29271 -0.0966837 0.29271 (156, 'granddaughter') 0.29271 0.240935 0.29271 (157, 'DUDES') -0.547787 0.0688136 0.547787 (157, 'GALS') 0.547787 0.182588 0.547787 (158, 'Kings') -0.569429 -0.058123 0.569429 (158, 'Queens') 0.569429 0.00867156 0.569429 (159, 'testosterone') -0.411566 -0.0294625 0.411566 (159, 'estrogen') 0.411566 0.237813 0.411566 (160, 'Spokesman') -0.402475 -0.128433 0.402475 (160, 'Spokeswoman') 0.402475 0.313343 0.402475 (161, 'Ex_Girlfriend') -0.333678 -0.0357934 0.333678 (161, 'Ex_Boyfriend') 0.333678 0.191153 0.333678 (162, 'gentleman') -0.504986 -0.138084 0.504986 (162, 'lady') 0.504986 0.351432 0.504986 Now our model is gender debiased, let’s check what changed… ----------------------------------------------------------- Evaluate the debiased model ~~~~~~~~~~~~~~~~~~~~~~~~~~~ The evaluation of the word embedding did not change so much because of the debiasing: .. code:: ipython3 w2v_debiased_evaluation = w2v_gender_debias_we.evaluate_word_embedding() .. code:: ipython3 w2v_debiased_evaluation[0] .. raw:: html
pearson_r pearson_pvalue spearman_r spearman_pvalue ratio_unkonwn_words
MEN 0.680 0.000 0.698 0.00 0.000
Mturk 0.633 0.000 0.657 0.00 0.000
RG65 0.800 0.031 0.685 0.09 0.000
RW 0.522 0.000 0.552 0.00 33.727
SimLex999 0.450 0.000 0.439 0.00 0.100
TR9856 0.660 0.000 0.661 0.00 85.430
WS353 0.621 0.000 0.657 0.00 0.000
.. code:: ipython3 w2v_debiased_evaluation[1] .. raw:: html
score
Google 0.737
MSR-syntax 0.737
Calculate direct gender bias ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_debias_we.calc_direct_bias() .. parsed-literal:: 1.2674784842026455e-09 The word embedding is not biased any more (in the professions sense). Plot the projection of the most extreme professions on the gender direction ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Note that (almost) all of the non-zero projection words are gender specific. The word *teenager* have a projection on the gender direction because it was learned mistakenly as a gender-specific word by the linear SVM, and thus it was not neutralized in the debias processes. The words provost, serviceman and librarian have zero projection on the gender direction. .. code:: ipython3 w2v_gender_debias_we.plot_projection_scores(); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_52_0.png Generate analogies along the gender direction ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_debias_we.generate_analogies(150)[50:] .. parsed-literal:: /project/responsibly/responsibly/we/bias.py:528: UserWarning: Not Using unrestricted most_similar may introduce fake biased analogies. .. raw:: html
she he distance score
50 teenagers males 0.993710 3.133955e-01
51 horses colt 0.888134 3.126180e-01
52 cousin younger_brother 0.758962 3.097599e-01
53 really guys 0.904382 2.780662e-01
54 Lady Girl 0.981106 2.474099e-01
55 son Uncle 0.948682 2.285694e-01
56 mum daddy 0.980105 2.232467e-01
57 Boy Guy 0.917343 2.170350e-01
58 lady waitress 0.972788 2.142569e-01
59 boy gentleman 0.988562 2.129009e-01
60 Hey dude 0.919240 2.007594e-01
61 striker lad 0.981813 1.960293e-01
62 father Father 0.915928 1.809929e-01
63 Cavaliers Bulls 0.843798 1.757572e-01
64 counterparts brethren 0.907441 1.688463e-01
65 girlfriend cousin 0.902712 1.659258e-01
66 God Him 0.768831 1.635439e-01
67 dealer salesman 0.980144 1.602965e-01
68 brother Brother 0.937209 1.509814e-01
69 replied sir 0.924511 1.454486e-01
70 brothers Brothers 0.863473 1.444512e-01
71 entrepreneurs businessmen 0.870914 1.430111e-01
72 muscle muscular 0.879145 1.414681e-01
73 sons wives 0.834242 1.283380e-01
74 cancer prostate 0.957669 1.266430e-01
75 dad Son 0.953167 1.095110e-01
76 Carl Earl 0.907355 1.089646e-01
77 Twins Minnesota_Twins 0.569007 1.061712e-01
78 males Male 0.908794 1.031754e-01
79 officials spokesmen 0.993293 1.011937e-01
... ... ... ... ...
120 Susan David 0.785386 3.504101e-08
121 bought rented 0.987472 3.352761e-08
122 Kevin AJ 0.968675 3.352761e-08
123 evaluate monitor 0.917602 3.352761e-08
124 Harvey Barker 0.991995 3.352761e-08
125 physicians GPs 0.930456 3.352761e-08
126 Amanda Adrian 0.953031 3.352761e-08
127 And Some 0.952518 3.352761e-08
128 Suns Padres 0.993828 3.352761e-08
129 Oakland Bay_Area 0.880000 3.352761e-08
130 soldiers marines 0.737734 3.352761e-08
131 Osama_bin_Laden Islamic_extremists 0.981496 3.166497e-08
132 Senate House_Speaker 0.987174 3.166497e-08
133 Larry Mel 0.949718 3.166497e-08
134 Of_course Typically 0.940184 3.166497e-08
135 Pyongyang uranium_enrichment 0.973787 3.166497e-08
136 earn garner 0.942567 3.166497e-08
137 Brewers St._Louis_Cardinals 0.888862 3.166497e-08
138 bin_Laden Osama 0.686982 3.166497e-08
139 Notre_Dame Badgers 0.946028 3.166497e-08
140 disease diseases 0.660790 3.166497e-08
141 horrible horrendous 0.563251 3.073364e-08
142 flying fly 0.802642 3.073364e-08
143 April June 0.317175 3.073364e-08
144 Jeff Greg 0.505365 3.073364e-08
145 Whether While 0.895121 2.980232e-08
146 Charlie Jamie 0.928001 2.980232e-08
147 plunged slumped 0.732912 2.980232e-08
148 anxious unhappy 0.975818 2.980232e-08
149 Bulldogs Gaels 0.828958 2.980232e-08

100 rows × 4 columns

Generate the Indirect Gender Bias in the direction ``softball``-``football`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 w2v_gender_debias_we.generate_closest_words_indirect_bias('softball', 'football') .. raw:: html
projection indirect_bias
end word
softball infielder 0.149894 1.517707e-07
major_leaguer 0.113700 2.272566e-07
bookkeeper 0.104209 6.543536e-08
patrolman 0.092638 8.575430e-08
investigator 0.081746 -1.304292e-08
football midfielder -0.153175 -6.718459e-08
lecturer -0.153629 5.327011e-08
vice_chancellor -0.159645 -2.232139e-08
cleric -0.166934 -1.153845e-08
footballer -0.325018 6.779356e-08
Now Let’s Try with fastText ~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 fasttext_gender_bias_we = GenderBiasWE(fasttext_model, only_lower=False, verbose=True) .. parsed-literal:: Identify direction using pca method... Principal Component Explained Variance Ratio --------------------- -------------------------- 1 0.531331 2 0.18376 3 0.089777 4 0.0517856 5 0.0407739 6 0.0328988 7 0.0223339 8 0.0193495 9 0.0143259 10 0.0136648 We can compare the projections of neutral profession names on the gender direction for the two original word embeddings ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 f, ax = plt.subplots(1, figsize=(14, 10)) GenderBiasWE.plot_bias_across_word_embeddings({'Word2Vec': w2v_gender_bias_we, 'FastText': fasttext_gender_bias_we}, ax=ax) .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_60_0.png Can we identify race bias? (Exploratory - API may change in a future release) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 from responsibly.we import BiasWordEmbedding from responsibly.we.data import BOLUKBASI_DATA .. code:: ipython3 white_common_names = ['Emily', 'Anne', 'Jill', 'Allison', 'Laurie', 'Sarah', 'Meredith', 'Carrie', 'Kristen', 'Todd', 'Neil', 'Geoffrey', 'Brett', 'Brendan', 'Greg', 'Matthew', 'Jay', 'Brad'] black_common_names = ['Aisha', 'Keisha', 'Tamika', 'Lakisha', 'Tanisha', 'Latoya', 'Kenya', 'Latonya', 'Ebony', 'Rasheed', 'Tremayne', 'Kareem', 'Darnell', 'Tyrone', 'Hakim', 'Jamal', 'Leroy', 'Jermaine'] .. code:: ipython3 race_bias_we = BiasWordEmbedding(w2v_model, verbose=True) .. code:: ipython3 race_bias_we._identify_direction('Whites', 'Blacks', definitional=(white_common_names, black_common_names), method='sum') .. parsed-literal:: Identify direction using sum method... .. code:: ipython3 neutral_profession_names = race_bias_we._filter_words_by_model(BOLUKBASI_DATA['gender']['neutral_profession_names']) .. code:: ipython3 race_bias_we.calc_direct_bias(neutral_profession_names) .. parsed-literal:: 0.0570313461966939 .. code:: ipython3 race_bias_we.plot_dist_projections_on_direction({'neutral_profession_names': neutral_profession_names, 'Whites': white_common_names, 'Blacks': black_common_names}); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_68_0.png .. code:: ipython3 race_bias_we.generate_analogies(30) .. parsed-literal:: /project/responsibly/responsibly/we/bias.py:528: UserWarning: Not Using unrestricted most_similar may introduce fake biased analogies. .. raw:: html
Whites Blacks distance score
0 white blacks 0.984017 0.300863
1 central_bank Federal_Reserve 0.803605 0.288356
2 Everton Merseyside 0.977917 0.267331
3 Reds Marlins 0.913352 0.265320
4 Palmer Lewis 0.963303 0.257839
5 Chapman Goodman 0.922701 0.257333
6 World_Cup Olympics 0.908482 0.255429
7 want Why 0.981551 0.251682
8 virus HIV 0.948869 0.250508
9 usually Often 0.904155 0.237194
10 brown black 0.920143 0.236836
11 definitely Honestly 0.990034 0.236568
12 soccer sports 0.915918 0.235413
13 Spurs Shaq 0.980871 0.235350
14 goalie shorthanded 0.997886 0.235113
15 tribe Native_Americans 0.952653 0.234396
16 tournament regionals 0.906039 0.233398
17 Chile Latin_America 0.947953 0.232998
18 defendant Defendant 0.639279 0.230648
19 West_Ham Londoners 0.982217 0.228847
20 Ghana Africans 0.995349 0.226636
21 Premier_League IPL 0.963885 0.226511
22 Leeds Midlands 0.924533 0.226077
23 Webb Byrd 0.976120 0.225578
24 shirt T_shirt 0.732459 0.224453
25 everybody Somebody 0.966056 0.223887
26 Falcons Canes 0.940961 0.223731
27 Ferguson Brown 0.976292 0.222968
28 militants Militants 0.758435 0.222902
29 Nicholas Ernest 0.959587 0.221283
.. code:: ipython3 race_bias_we.generate_analogies(130)[100:] .. parsed-literal:: /project/responsibly/responsibly/we/bias.py:528: UserWarning: Not Using unrestricted most_similar may introduce fake biased analogies. .. raw:: html
Whites Blacks distance score
100 only Only 0.943405 0.197555
101 Fletcher Norris 0.947846 0.197228
102 red white 0.928751 0.196619
103 jurors Jurors 0.697708 0.196573
104 complaints Complaints 0.710755 0.196412
105 knee_injury ankle_sprain 0.631131 0.196400
106 automatic automated 0.955530 0.196397
107 worries Concerns 0.794042 0.196306
108 Player Athlete 0.867647 0.196244
109 cricket BCCI 0.885252 0.196228
110 just Just 0.951253 0.196210
111 Nations aboriginal 0.988780 0.195973
112 assistant intern 0.925927 0.195862
113 ##st nd 0.899736 0.195463
114 Democratic_Party DNC 0.994089 0.195221
115 game Game 0.966801 0.195120
116 Bengals Texans 0.994674 0.194374
117 provincial Ontario 0.993721 0.194351
118 Scotland UK 0.933167 0.193891
119 Nathan Marcus 0.988859 0.193761
120 because Because 0.835368 0.192906
121 seems Seems 0.840152 0.192520
122 league postseason 0.960766 0.192454
123 defender defenders 0.715703 0.192400
124 celebrations parades 0.960279 0.192243
125 Republican Rudy_Giuliani 0.995810 0.192109
126 holiday Labor_Day 0.912426 0.191855
127 Norway Oslo 0.887618 0.191662
128 evidence Evidence 0.761856 0.191556
129 Elementary_School Public_Schools 0.940586 0.191520
.. code:: ipython3 f, ax = plt.subplots(figsize=(15, 15)) race_bias_we.plot_projection_scores(neutral_profession_names, 15, ax=ax); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_71_0.png Word Embedding Association Test (WEAT) -------------------------------------- Based on: Caliskan, A., Bryson, J. J., & Narayanan, A. (2017). `Semantics derived automatically from language corpora contain human-like biases `__. Science, 356(6334), 183-186. .. code:: ipython3 from responsibly.we import calc_all_weat First, let’s look on a reduced version of Word2Vec. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 calc_all_weat(model_w2v_small, filter_by='model', with_original_finding=True, with_pvalue=True, pvalue_kwargs={'method': 'approximate'}) .. parsed-literal:: /project/responsibly/responsibly/we/weat.py:368: UserWarning: Given weat_data was filterd by model. .. raw:: html
Target words Attrib. words Nt Na s d p original_N original_d original_p
0 Flowers vs. Insects Pleasant vs. Unpleasant 2x2 24x2 0.0455987 1.2461 1.6e-01 32 1.35 1e-8
1 Instruments vs. Weapons Pleasant vs. Unpleasant 16x2 24x2 0.9667 1.59092 0 32 1.66 1e-10
2 European American names vs. African American n... Pleasant vs. Unpleasant 6x2 24x2 0.136516 1.1408 2.3e-02 26 1.17 1e-5
3 European American names vs. African American n... Pleasant vs. Unpleasant 18x2 24x2 0.440816 1.3369 0
4 European American names vs. African American n... Pleasant vs. Unpleasant 18x2 8x2 0.33806 0.733674 1.8e-02
5 Male names vs. Female names Career vs. Family 1x2 8x2 0.154198 2 0 39k 0.72 < 1e-2
6 Math vs. Arts Male terms vs. Female terms 7x2 8x2 0.161991 0.835966 5.8e-02 28k 0.82 < 1e-2
7 Science vs. Arts Male terms vs. Female terms 6x2 8x2 0.303524 1.37307 7.0e-03 91 1.47 1e-24
8 Mental disease vs. Physical disease Temporary vs. Permanent 6x2 5x2 0.342582 1.18702 2.5e-02 135 1.01 1e-3
9 Young people’s names vs. Old people’s names Pleasant vs. Unpleasant 0x2 7x2 43k 1.42 < 1e-2
Let’s reproduce the results from the paper on the full Word2Vec and Glove word embeddings: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 calc_all_weat(glove_model, filter_by='data', with_original_finding=True, with_pvalue=True, pvalue_kwargs={'method': 'approximate'}) .. parsed-literal:: /project/responsibly/responsibly/we/weat.py:368: UserWarning: Given weat_data was filterd by data. .. raw:: html
Target words Attrib. words Nt Na s d p original_N original_d original_p
0 Flowers vs. Insects Pleasant vs. Unpleasant 25x2 25x2 2.2382 1.5196 0 32 1.35 1e-8
1 Instruments vs. Weapons Pleasant vs. Unpleasant 25x2 25x2 2.2906 1.5496 0 32 1.66 1e-10
2 European American names vs. African American n... Pleasant vs. Unpleasant 32x2 25x2 1.6208 1.4163 0 26 1.17 1e-5
3 European American names vs. African American n... Pleasant vs. Unpleasant 16x2 25x2 0.7272 1.5226 0
4 European American names vs. African American n... Pleasant vs. Unpleasant 16x2 8x2 0.9177 1.3045 0
5 Male names vs. Female names Career vs. Family 8x2 8x2 1.2670 1.8734 0 39k 0.72 < 1e-2
6 Math vs. Arts Male terms vs. Female terms 8x2 8x2 0.1989 1.0896 1.6e-02 28k 0.82 < 1e-2
7 Science vs. Arts Male terms vs. Female terms 8x2 8x2 0.3456 1.2780 2.0e-03 91 1.47 1e-24
8 Mental disease vs. Physical disease Temporary vs. Permanent 6x2 7x2 0.5051 1.4442 2.0e-03 135 1.01 1e-3
9 Young people’s names vs. Old people’s names Pleasant vs. Unpleasant 8x2 8x2 0.5096 1.5520 0 43k 1.42 < 1e-2
Results from the paper: ~~~~~~~~~~~~~~~~~~~~~~~ .. figure:: 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 :alt: glove-weat glove-weat .. code:: ipython3 calc_all_weat(w2v_model, filter_by='model', with_original_finding=True, with_pvalue=True, pvalue_kwargs={'method': 'approximate'}) .. parsed-literal:: /project/responsibly/responsibly/we/weat.py:368: UserWarning: Given weat_data was filterd by model. .. raw:: html
Target words Attrib. words Nt Na s d p original_N original_d original_p
0 Flowers vs. Insects Pleasant vs. Unpleasant 25x2 25x2 1.4078 1.5550 0 32 1.35 1e-8
1 Instruments vs. Weapons Pleasant vs. Unpleasant 24x2 25x2 1.7317 1.6638 0 32 1.66 1e-10
2 European American names vs. African American n... Pleasant vs. Unpleasant 47x2 25x2 0.5672 0.6047 1.0e-03 26 1.17 1e-5
3 European American names vs. African American n... Pleasant vs. Unpleasant 18x2 25x2 0.4180 1.3320 0
4 European American names vs. African American n... Pleasant vs. Unpleasant 18x2 8x2 0.3381 0.7337 1.8e-02
5 Male names vs. Female names Career vs. Family 8x2 8x2 1.2516 1.9518 0 39k 0.72 < 1e-2
6 Math vs. Arts Male terms vs. Female terms 8x2 8x2 0.2255 0.9981 2.7e-02 28k 0.82 < 1e-2
7 Science vs. Arts Male terms vs. Female terms 8x2 8x2 0.3572 1.2846 0 91 1.47 1e-24
8 Mental disease vs. Physical disease Temporary vs. Permanent 6x2 6x2 0.3727 1.3259 1.3e-02 135 1.01 1e-3
9 Young people’s names vs. Old people’s names Pleasant vs. Unpleasant 8x2 7x2 -0.0852 -0.3721 7.4e-01 43k 1.42 < 1e-2
Results from the paper: ~~~~~~~~~~~~~~~~~~~~~~~ .. figure:: 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DM0dzLItRyn1W8dZLNEdsUu1T7dIdMx3SnZOdYF39XBzeDndruRrvcdsfsyfO4Sm7z7PLq8L7lU+S738/ZXzaAJmAusC+oMbgypDA0KywxnLLXnaITwRexEjkUdSU6JcZzn2GsbJzQfp4DHAdZ4ukP4Q4tJrw+3JV4LSkvOebIrhSzowapFmnk9MMZf2XePzZ+/GPWwoml7IWTX3Pmcz/kzeV/PPX9NP0ZtcLQovKzPecmi2fPv7nwsuRZaX/Zg7+ay5sudlV8uCRQtety0ZVnNcxXra6lotFr+ZZ0rXddYf1AI/a2YtOeO0eay1uaWpvvXmo70X7wXkxHwv2szrMPSh+e6zr+KKrb/rFUD6ZntPd6X0Z/4IDtE8NBwyHbYc+RqKfJz46OHnzu+0J/jHNsbrzh5dEJl1dSrwmv3062T519s/etzjTN9OBM6eyhdwHvvef8P4R8DP8UPh/+mfIl+mvst5iFgEXjJbqlG98Nvz9adlv+8KNvlWZtdHP9JcE9yBx6CvsgOCQLI4npxcbhZHCz+L8I/kQZ4jJVF3UxTQzJjlaejpZukf4ZQytjJVMO80EWP1Y7Nk12cQ4WjlXOGa4B7maeat5SvkL+fIHcbVmCKULRwmQRQ1F+0e9i3eLFEhGSJtsFpGCpWekRmQeyjXKX5AsUEhQ9lNSUccq9KnmqLmocas/Uz2p475DXxGmOa9VqZ+n46xroiejTGwCDr4bTRsPGt03yTX3MhM0mzAssrC3xlu1WSdamNuw272yb7XLs/R00HEmO405XnA+4mLmyuL50q9gZhp7/y7vu7E7Yo+9B8OgnF3kGee3wpvEe9bnou9dP1W/VvyUgIVAnCAS1Bh8O0Q/FhHaEHQnXDf++t4riip7ZlZHWkd+iCqJ3RI/HJOzj2Xcn1iOONW50f9WBpIMu8WLxi4faE3IO+yUaJEkksx+hTgEp345Opj5Oq0nPzCBnKh7DHxs9fjUr/URQtvFJxpP3c3bmzOXG5enm651KPU04k144dZbjnHyx2nm1C0olMqViZQJ/cZQzXKSqIFbSoZ6kednjytHqKzVPrq5eF7vhdvPkrf465nrXhqLGkSbsHfFm4xbP1kN3z7U1t7+8t35foFP/gd/DzK5rj4a713rEe3f2neoffyI/eGzo44j904ZRged5YzIvaV/FTGXMxH6w+rK4bLux/lvf6DYKThmAHDTPdDqG1lkAsuvQPPM2AGxUANiQAHBQA/DRagAbVwMo6Mif8wNCE08CmnOyAj4gDhTRTNMCuKF58z6QhmaUl0EzGABvwSrECIlDOmh+GAEdQ/PBDmgShmABWA/2ho+iWd4A/AMRRCyROKQCGcEQMOqYEEwp5hmWEWuOZmTtOAing0vAteGxeDP8CfxTggAhmNBAxBOdiRXEH1SWVBeolqitqCtoMDSeNO0kYVIa6SOtA20Tmulk0wP6vfRTDK4MvYxGjHeYVJlqmdWZ21nsWCZZo9hwbPnsIuz1HFYcM5ypXHJck9zFPJ68krzf+e7z5wl4b1MUxAk+F7ohnCUSLGouJilOEp+XGJK8vf2cVLy0u4yaLLPsvNxj+UsKaYr+SmbK0iosKuuqH9TG1Qc0unZ0aN7T6tTu0RnVndFbNACGODTOEUwIpkQzGnNmCwFLRSsr61CbXNsmuzcOJEdFJ1fngy7nXe+5TbtT75Ld7bTngEcZucfzu7eQj73vEb8m/x+B+kGng5dDvcIG9hpRmiIVo2pipPZdi9uxv+9g2CHuhOHE3GSLI4tHc9O2p3dk+hxnyXqZ/ThnLG+9gP+MWpHFuT3nY0vOl41elKo8f1m2euLahZu766gbqpt2tUi28XUYPSjppukV618czB4Re9b/4tzLU68H3nrMLn9g/HT5C/gmu6i2tL6c/qN+ZXD19lrpz/B1lc34AW1+c2AEXEAEyANtYAncQQiIB9mgDDSAXvAGrEGskAxkBvlCSVAJdBd6DWNgUdgCpsBn4Hb4E8KNmCMHkBpkCsOJscNkYDqwEFYTux97G7uK08Yl4R7i6fGu+L/wXwi6hBzCW6IGMYc4R2WErvkqtQv1TTQTptAMktRI52mpaffRTtO50vXQG9G3MmgxtDDqM3Yx2TONoZnpD5YsVgnWR2x72VnZazlsOd5yxnKRuMq4dbineLJ5zfho+cb4bwgc3xYgqCfELvRe+I7ICVFfMT1xYQlGScJ2rBRBmlaGUZZBjiC3LD+jMKLYpXRX+a5Kl+pztS8atDtkNW21ArQjdSi6/nou+sYGaoaKRqrGxiZ7TOPNLph3WsxbcVkb2gShZ1qu/SmHPMdcp/POLS6f3ZR2Jrg/3s27J9Kj11PQy9c7z+eWb4/flP9KIGuQQrBDSHTombDW8HcUtgijyOioi9Gj++hjLeOy9j89KBJ/8NDkYb8k+uSulMhUXNrRDExm6nGurPbsxByXPP1TGqc1CjXOqhWLX8CU3C+LLue6eKfSs4rl8lh1x9Xe6wu35OoONDxqoms2aKW0ld+b7dR7eL1brqeob2zg2+Dn4emnk6MzL769hF5RTTK/EZo2mc2fU/mU/rV8KXi5ZyV5tX3t28/lzfWH0d3PAHiBFNACtsAXHAT54CroBu8gIiQJWUIUqABqhd7BrLABHAmXw6MIA2KKJCOtyBpGAxOHacSsYnWx6dgRnDjuMG4Mr4UvIRAIYYRBohrxLBVMFUg1RG1AfZtGjeYuyYb0ljaRToCuld6dfpHhBKMU42OmUGYScwWLHssL1lg2XrYe9uMcnpx6XBLczNwrPGO89Xwn+UMELLbJCrIL4YSWhT+LfBL9KrYmQSsptF1HykM6QeasbL3cE/mvipxKpsqJKu1qNOruGlc18ehdtVl3m16OAathtbGbKYNZv8UZqzAbRzt5+1FHN6duFxPXJzt93b/vTvKAyOGeQ94qPkV+RP/DgVRBpSGWYSC8jhIWyRvVHhMV673/Y3xZQuzh4cTVZPgIIYX+qEJqRNpghmPm7PHUE9LZz3JS8zTyPxdUntldRHX2YrHK+Tsl2qWtfxmUd1XYVA5WOVzuqzaqabgmdv3UTcKtg7Wr9WmNIrf77iS2KLfOthXds76P6bz9MOKRZPdUz7k+lwHmJwNDWSNmT9dHL7+wHpt5GTWx9jpxCnmTOA3PJL3DvD809/Gj0afY+bOfj32J+mrwdenbpQWrheeL/ouLS9FLs9/dv/cu6y9X/SD9CP8xsKK0UrDyedV0tWR1Zc1h7cpP5KfLz8vr0Lrj+qWN9Y/wVZDfPD4gGj0AsOPr619FAMCfBGAte319pWR9fa0UTTZeANAavPW/z+ZZQw9A0csN1CUxlPDv/1/+Bzdx0CJwz2NgAAABnWlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNS40LjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj45MDQ8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+Njg0PC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CrX4ECMAAEAASURBVHgB7N0HuDRFlTfwdl0/cw4oImBAEBVEgoCEl5wUUDIIooKSTeiDmEBcswIirKBIVCQHkSBRgiBBkaCAKIhZ17SrrmF1v/srtl767XdC94R7J5zzPHNn7kx3ddW/Tleff51Tpx7yvzNShAQCgUAgEAgEAoFAIBAIBAKBQCAQCEw9Av8y9QgEAIFAIBAIBAKBQCAQCAQCgUAgEAgEAgmBIIihCIFAIBAIBAKBQCAQCAQCgUAgEAgEAgmBIIihCIFAIBAIBAKBQCAQCAQCgUAgEAgEAgmBIIihCIFAIBAIBAKBQCAQCAQCgUAgEAgEAgmBf22Hw9/+9rfiv/7rv4q//vWv7Q6J7wOBQCAQCAQCgUAgEAgEAoFAIBAIBMYMgUc+8pHF4x//+OJf/mVhf2Fbgvjzn/+8uO6664o//OEPxUMf+tAxa3JUdxoR+Mc//lGY2KDoD3/4w6cRgmjzgBEwSeb1xCc+sTCQhgQCgUAgMCwEjDX/+Z//WTzhCU8oHv3oRw/rMlFuIBAIBALJXn7Ws55VrLPOOsVjHvOYhRBpSxB/+ctfFj/60Y+KJZZYIg1WC50ZXwQCI4bAb3/72+KHP/xh0tfFFltsxGoX1RlHBK644orCa8sttyyWWmqpcWxC1DkQCATGBAFjzYUXXlhsttlmxdprrz0mtY5qBgKBwDgicM899xT33Xdf8ec//7kZQeSJMYO1+uqrF4svvvg4tj3qPGUIIIf01ozIeuutN2Wtj+YOAwGTZOeff34aAzfeeONhXCLKDAQCgUAgIWC8+Y//+I/iyU9+chHjTShFIBAIDBMBE1K33npr20ssHHTa9tD4IRAIBAKBQCAQCAQCgUAgEAgEAoFAYJIRaBtiOsmNjrYFAoFAIBAI9IfA//zP/xR/+tOf0hpNISrEOobHPe5xxaMe9aiWi97rXPGf//xnWof1+9//PpVl/edDHvKQOqemY/o9v/aF/u9AidysHYMH+X//7/8lHLxXpXps9ffq/7msf/3Xf+0Lk2q5+f+///3vxR//+McFktFZa6sPYT7bWOZ6xXsgMGwEhjV+9VvvURojYnzotzfH+/wgiOPdf1H7QCAQCARmFQGk4Xe/+11x++23F3fddVciGH/5y19SHR7xiEekhD7LLbdc8fznP7947GMf27hu1hJ/9atfLb7+9a8Xq666arH11lsXT3rSk2qX0+/5tS/0fwfCQl3hwaB6znOeU2y00UZp/X61LKT3xhtvLO68884USuh3RExSkqc85SnF//7v/6b1IJLDId/PfvazU1mIdz+YVOuR/3eNO+64o/jWt75V/OxnP0tfv/SlLy0233zzQl/ONpa5XvEeCAwLgWGPX/3We5TGiBgf+u3N8T4/COJ491/UPhAIBAKBWUMAAbJO6pxzzilOOeWUlNn1DW94Q0qoYUb+rLPOKj75yU8mQrf77rsXG2ywQfH0pz+9Uf1+8IMfpLIvvvjitID+xS9+cbHaaqvVLqPf82tf6P8O5C1l1J144onF/fffX8ybN6940Yte1JIgWtf/1Kc+tTj33HOLE044IRFKJPoVr3hFsc022yQvJI/e3XffXVx99dWJIL7whS8sHvawh/WFSbs2qfuiiy5afOUrXykOPfTQVJ+dd945kVIEcbaxbFfP+D4QGAQCszF+9VvPURojYnzotzfH+/wgiOPdf1H7QCAQCARmDQHk8PDDDy+OO+64QqbgffbZp9hll13mb4W02267JZLz0Y9+tHj3u99d2C5pjz32SCGLdStpTyYZY2VXe97znpc8knXPdVy/5ze5lmOFYy677LLFkksumQhip/N5Al/2spcV9957byJlsoUjjEjlq171qvmn/uY3v0kY33DDDem7YbVJCCuP5/LLL5/a4bplGdZ1y9eIz4HAbCEwG+NXv20ZpTEixod+e3O8zw+CON79F7UPBAKBQGBWELA/mxT8p512WvHf//3fiVTIFlzeJ1eYpMzXCBNy49ill146ecjKx3WqMFKIePI+Pve5z02hqq2OF45JqusT657fqsxO37le9Vr5eN+32mg4/159Z3jlfTWdl7HJa36sOdR++7n6fVhtyvVqV/9hXLddv+W6xHsgMAwEZmv8GlTdR2mMmM3xAX4xRgxKi/orJwhif/jF2YFAIBAITAUC1tgJjfzVr36VvE28fLaUqYq9c61BRBBvu+22FI5qXRvhMfPwF774tKc9LSVBEZZJnCfc8qc//WlKyPKMZzwjESfrYPJaRslwrJXj6frHP/6RzkOihGVlI0aoqzDN8vkIl/OsqSOOt5WAtZOuh5jx5NnSyQw+UU9GJS8oQuwY2+ioi7BM5zchhanQLn9+/etfpzWK1lwKU82htbbwUZd+2+TykmD84he/SO2GlXbDuCq+q/aFLRgk5GmCo3K79RvM1YNRHBIIDAOBfsYvYe7uFWuDiagBERTGjx//+MdpbPC9hFrGRGORsa7beNc0/N41hj1G9DM+GDN6GWu1K8YIKIyWBEEcrf6I2gQCgUAgMHIIIEtCPvOeSQyhZz7zmS09aogT44kgVMiNJCiMq+OPP774yU9+kojYhhtumIjcF7/4xXTsfvvtV2yyySZprZ01cQjRiiuuWLz1rW8tVllllfT/NddcU5x88snJKEMoERUGE8KGVDHOkMOrrrpqgfPVB7k9/fTTE7mUQEdYZ07Com1CP9/85jen9XeMHGRIYpjLLrssGYQw0A7vEudYMyisdFDCAJW8BrFed911k7G50korpXBU6xurmPTSJsbft7/97RS+evnllyeya0N25Nf1y2IiwDrT8nW33XbbVJ8mOOrHbv2GCG+55ZZp0qBch/gcCAwCgX7HL/prPe55552XJlNe/vKXF29729sSqTnqqKOKm2++OY11vP4HHHBAmmSyx1y38W6vvfZK64vrtnHYY4RJt37GB2N1L+NSjBF1NWB2j/uX2b1cXC0QCAQCgUBg3BBA9BCGvEZNeGT2tFXb4rfs8fMbomVmeY011khrC7///e8noikJDWNEeCWPFnJkRn2ttdZKniTHIZNmlhl4N910U/HBD34wGWmymx577LEFA4t3D9lxHUSy1fkI5JprrplIZL6+8tTV9wihMr70pS+ldqr3ddddV3z4wx9OnkeJWw477LDita99bcpW+qlPfao49dRT53sxHd+rIG0IKiKKkH3zm99coCiZTAfVpnvuuac44ogjEnaI/P77758IMZIN57K0uq6JgSY41u03/cMTHBIIDAOBfscv44NJDBlQjR8868o0qbTZZpulrM6+F6VgssV9Ume8M3bVkdkaI/odH4whTcfaGCPqaMDcHBMEcW5wj6sGAoFAIDA2CCB4tnNgIBHGvAx3rSSvnRFmRXJIouOFZhHeRMlRkC7JbHjjeM0Qy/Jx6eCZP4wx3kvkSeKUTCiseeTJVD/nveQlL0lhmPk6+XzvZeLq88Ybb1y8973vLV796lcn4mr2HFEVMsZoUUeEWLsRVe1CYL0cZ3sI3sp+BT62yUA6eevyliHlclth4vcmbYIh/L72ta8lQoxkw50nd9NNN52/JrLbdZtes26/6deQQGAYCAxi/BIW32pSzL3ZSnfL92yn8a5Oe2djjOAhHcT4oD0xRtTp1dE/JkJMR7+PooaBQCAQCMwpAnmdnzV3SKJXXgNYrVj+DckijIWqYWXfPwlQJKHx4pnrJMgN4pTXGea1f/l/10LWGGJ1xBpEdSBlA891zOor17ojGVoZhtYmCpW1XjKHYjrWjHkr47BOHfIxPHlCVnnmhJKaxe9FurUJ2f3ud7+bPK1ILmJt+wyC/ObPTa7d7ZpN+i2HJTe5fhwbCNRBYNDjV51rlo9pOt6Vz/V5NsYIk2CDHh/UPcYIKIynBEEcz36LWgcCgUAgMGsIeMgjFYie9SJIlFntVlL9rbwmMR/fyQOZjym/u75sqMgkoiMkEiG0htD/SJ71gJK4CPUahNj6gYfRzDrDSblCYuuS0Lp1QEa1b4UVVkik+5JLLql7aqPj9JswXJK9vI0K6OHgJv3WQ/FxSiBQC4FBj1+1Llo6qOl4Vzo1fZyNMcJ4Ptvjg8bFGFHt7dH5P0JMR6cvoiaBQCAQCIwsAsI6JXchjAnELHsJy5XOv/mOV0riGOStH+ExtH2GPRVlu5QU4qKLLkoZP63PES4qyYlENYMQ7bKe6Mtf/nKx7777FkceeWTyeNqrEOEdlki8s/LKKy+whnNQ18qeXeVpX6u+G9S1cjmz3W/5uvEeCFQRmMvxq1qXfv4f1hgxF+MDHGKM6EcbhntueBCHi2+UHggEAoHARCBg2wVZRu+6667kueNZQwar6/2EKn3ve99LbRaaaa9E6w0luelHhGkpi/fQ9hmSyLg2AichxDLLLNNP8Quca82S9YCHHHJI8pjuueeexY477piymi5w4ID/QXAl2hkGeYPfIossksJnq17eYRLG2ey3AXdHFDdBCPQ7fpkwyvuVul8QqrmQYY0RQuXnYnyAYYwRc6FJ3a8ZBLE7RnFEIBAIBAJTj4AQ01e+8pUpOYsMpPYVk9RAcplsOCFWt9xyS0ooI4HMFltskV5micsz1DL98fy1kvJx5c/W5n36058u7r777uL1r399sc4666TZZ2Vb52i9m9DJ8jlNP2fDT6jVd77znbQHov0ahUHZ04yRmJPI5DWIrtHuOq3a5xp5T0W/KwdhI3CsEm7ftyu/zve5TQxLYbo8oMJNf/SjHxW///3vU9lIfW6XfslrK1uV3+q7ah3zNX1ft98cGxIIDAuBfscvBMpYQIS3m6gS4m5cyPdv+V4u3yedxrtW7Z2LMQJJG8T4oD3ltrf7HGNEq54fre9GgiBKdsCwqKbZ7gSV0CXrYcR2hwwfAQOcQbFs1DHKGDPi4ydN6CQjyuA2zJCybri5vnow5GAtfba+4LnxTqbpXpg2PeymH7P9u3V59is07toT0B6GxmEJT+iqNXo8b77bfvvti9e97nVpVprhJMELUkLoNC/jvffem85F7Igx5r6ZLR+yt1EGUedk4mkvQ2V94QtfKL7xjW+kbJzqInxMBtOlllqq5fnCYZVj03tiHaH/GXdS1jP2iPtMPXk8zaYjhoxAmT+RN3VDSInzkGSZV32vLOJ47bKHo7WRZfGMQ8Z4QNWJeEeqfeea2QjN57XDpGmbpOSXufQVr3hFcfbZZ6fw3BNOOCHV0b6Rxjz9AAvk2GftKvcFcg6jujjW7TfrL00ohAQCw0Sg1/FLnYR22pdUaLuEVWeeeWa6l41D7gnjkHfjmoRLdca7Vm2dqzHC+LXccsv1NT4YU5uOSzFGtNKC0fhuJAgiY9cDyo2GdDDIkQ6K5mbxYGYYM5AZDG5CBolNSc14jLIwmhg0RDa8cRU3sbTujEKz6OSlL31psfnmm491u9r1Bz274IILktFkDzT7IHWTTn3d6bdO5TI2bdYtDT7jTrZDJMnGvQxKs/4eRuNwL3RqZ93fpk0P6+IyW8chDTZWlywGyTBmW6cnvFN2T4TJTPtBBx2Utk7I+yHqN0lekBAeR4L4GPeNIZkgIifIldl+hMH3yIhnAbKGPAltvfrqq9Mrt9vzAjncaqutkqFWPZ8XS7nqlj2ermVMM55JbuN6jDz/K2+jjTZK11JvY7f27bDDDslQNDZYC4loKocxKJzWvajOSKB7t0oQeSbtt8jAtNl2FoT5jDPOSF7RKkFsh0nTNsHwhS98YbHPPvuk5ywyby9HRFafwlf/eLaqp3ZX+wJBtMVHXRzVvU6/2Y9x11137SmTasYw3gOBbgj0On4pl4dt3rx5acwQZm/fVhNhSKNJI2OciSo2q61y6ox3reo7l2OE9vUzPhirm45LMUa00oLR+O4hM27eB3KRV+rDADWr6eHtwTdM8XD92Mc+lh5WUn17gHvw2jTYAxwxFKrkgX3DDTekGRyEUYY5m5SOsjA2DCYMlhe84AWjXNWOdUNyGT1HH310ceihhyaSgjjZdJmxMArC6GJwSophrVI/wgB9//vfnyYrPv7xjxdL1kiy0amvO/3WqZ5C+NRDSJ+Qun/7t38rrKU455xzio9+9KPp/pDUIhvkncqahN9mWw/pu7DGd73rXcVrXvOaSYBwoG3QH9kLZyLPfWKCL3vZBnUxjynk5HOf+1xx5ZVXJiKXIxcQN+TH+CSJzOGHH57I2yCuzehTNqKXJy4R2/wdUpnrMYjrzVYZIkEYZrBDjr3rS0bwINszV/02WzgO+jrGm4MPPrh429veViDNIcNFoJfxy2SOSRLODHadCVuvSYqmmq3xQe/GGDFcHe9U+hVXXJGWg5j4rE5MOq+7W6RT6QP6jXfFzK3QF4YuVz4jwCwt4b0xO7zTTjulTHVmQXlV2nDbAdWq/2KQ3PPOO6+49NJL05qZcSaIZt6EXQnRMBAykCZVeOV452RKNCOILNLJToZTp77u9Fs3DJHvHDZn3zgTI7wy7gFeHBMo0yTTpIfj0K/6w4SM1zDFrLzJH550k4VvetOb5pNQv5lAMVmlPp3u06Z15P3yKguvgdc4i+dted9B/1fbOYj2zVW/DaLuUcbkI9DL+MX+8crSy/6h+dxRfZ+t8UH7Y4wYVS0YEYIInmc/+9kpvTdDvJN4iMlYZ2a3LMjiIA2DTD57LVPYLKPFWpm5kkFjoh3w6OYdGMZ1ZxNDYVUyJJopNJPGm27yAjlrJZ36utNvrcqqfocUCvkQQooQ5m0G6vRDtay5+n8Y+lCn/cO47lxhOO3XdR+JNPHO22XSxbNAH7tHGWw86cKwYy3b6GhL9Nvo9EXUJBAYRQRijBjFXnmgTiPhQeSq55mypqOOmPm04N7MgzhwGaS4+IUL8K7w+uQwpxxCIAyKMWEtCVcqryWDgyClQgWUJxSQd8xaDJJnVhmkZo3V0ayT6ylTmE4WWeJc2zWtMxGaduONNxbLLrtsike32bL1Ha1CMrUhr7VRHhKmDY51HTcREcbFAGIc+d55EhsoV/use1EOI4qoqxAidWuChXMZXkIpJGNQnrZXibnjiN8lM4AfbHl91Yfhpr/08TiIfhdDL5yNLsFdwgahzUKcqwKPdn0tXEv/t9IDWPJUdtJL/aw+iKo+1Peul9d15brA2ZpJa4ocq8/poVfT2c3Z0EP1bqKL06iHuW/j/QEE3C+bbrppGtt4za17pN/uCeOO+9T96ZiQ0UEg+m10+iJqEgiMIgIxRoxirzxQp5EgiAiOV11BOoTdCTOVhc3/jGQJVLxL5LHNNtuk9TAManG2xx9/fFqjYj3lhhtumBIkyMBHZOWzvsh6r5NPPjktMEYakS0EkCGCYK222mopxBVpE4JojaSsTbyfSBlCIP26+giHynuBIQEy+0muY42MTFFVYeDLisXwYewgh+KCrck8/fTTiwsvvDCRA6Fc6irE8Etf+lIiyLvOLO5/9atfnepy1llnJVLiOCSW8SQZgt8R3DpY7LXXXvMzEh533HGJACElEhkoM5PP3AaEUOKIE088Ma1bhTFCzRMHx3e+850pPDUfP8rvJgdghtSbTNCPyKJ37a8mGtK37frapIfw1FZ6YDE43emkl7YU0GeypiF+kkm89a1vTfuklTH0G4+nvpU0hM7bOHy33XYrZAesk2Anlzcbekg3696Xb3jDG1Lik2nTw9wf8f4AAoig8VdiLGOtiSiTDCae3EueH+MyCTVNfRr9Nk29HW0NBJojEGNEc8xm64yRIIi9NJZB/OEPfzh5p/bee+9kOBx77LFpYTfPINJikbewQCGp1157bTKgkTQkUtIBisk7xoBn5EtGcuuttxY2Rf7gBz9YXHLJJcUBBxyQCBIjBFHkUZSd6lOf+lRx5cw6SeTSdZBFiSwkMLCOUnIfHkPGPYMYiWO0V70/ue3KXn311dPxiC5jx3cMfFmtpFl33SVnkkAgmFK6+199lMtgOuqoowqGNHKsDr6T1MQL0X3729/eFQseWZ5UCR+s6ZHlTpYu7USSle/3sjD2kXXhtLvssku6HqKhP5DEcRLtRxJf+9rXprWj9ExbrEf0G9zLwjvarq/1Df1rpwf0opNe8pxJTMNDqa8ZwVXs1UV9eQoRQhMHkgghnnSRHpvAqCuzpYd170v345FHHjl1eli3v6btOPeUMdArZHwQiH4bn76KmgYCc4FAjBFzgXrna7YliHXW+HQueni/InjWoDCMhVoiM9aeCBP1ks1SGBIDmbcPGeTVI86TbAXxs7aM1wWBvG9mvyceROdnIijET+gmA18ZyAEPEi+N9YXC/njIeGiQJ9dC7oQVWjuWvU2Md793WxsjiQ0vlXrlPbYkZFCusFh9gvQhC4iJ8EN1gsH555+f0qSrizo5B0lWD55SCX+s0RGa2wkLGWTVGxZIqfJgi3Qi1DxmvkdesiCwvGz5HQbWyvGAqWvGIR8/zHcYefUiyBc9gBudoCtLzhii2kAHJMh48YtfnHDI5QvnhGduY7WvO/3WTS/1BVKY+ytfs/quvxHJrJ9CTU866aQUFku/mxBEZc+GHtLrbu3nPTd5M5d6mMdBXnMTIdMo7gcvYe/d1h9PGj7GWM8bY1+v48q4YmKM1373acjsIMArTtfcb9M63tRBOnSzO0rGLfcvaRJF1L3k8T0i9GbBvrPMiZ60k7YEkSEwqg9FD2qGOm8Vw1xII1LIc5jDHw20DH5EqSzCQJEmCT+8eIqEdPJSZGMwG0H5fwAimwiD7xitwk/FTiNsN910UwpLVRfhfr5zjaaCRAqhQmB5q2wzol1IWSbDiCOygsTyhkqe4jeeFkSZV0obCeKY229dnXV0q6yyyvxqtcLCj0K4XAPhQ5iR5LyWDSHKn3NB/s9GhFBY9ZVxltfVdhPqMRuib+hs7r+m1+Tt5Gm1jYRyECUkBXZwv/7669M+a8j5oKVdXyDq3URd8wPAREImhPSQHtFf2NSV2dBDXteytGo/PfzkJz85p3qYx0E6LVx4GsU4ylh1j8/WvTwqOBvzrcs11rvPpkns5ebZKNw+ZHYQ8Lx3j8F9WsebOkiHbnZHiS1s/CKWLIUUyU6PMe1BTWDne75l3vTgLw98aksQzTxYb9aJXVYLm83/re+yD6K1bxrJy8Nzkm+IdnXhxs5kJh9jQF566aUTYUS2kASEEAn0v+OXnPEk8Rj6zfdEAhehlQZ1wjuX3eTpix7+2HDamkF7J3rZJoPRL6yUkY/k8Y4iboxXZID3zro5gihkssCgyWROexC+siK0wkIZSK5jCULYbW0PLxfPpzBdfSEsE2FFEN/85jen915JW6pEzT90VfvyrFnN09JhzlF35N/EAWJmkkEoJAzMPFl36qFtbeigpV1fNL2OSYpsxLvx9aXZ6KbG7WzqoTa2av8o6CG9sA7UfUQ/plGMc9bLmigaxuTIKGNqbNV+E2s5SmCU6zvIupkQMzEWMnsImORlzOelCbN35fG6EhvDBGhIewRM7LEhiaVKIUWa5I8x7UFNwJ/Y92Ve8OCvM3yi/M+4fEYEDA7Ik8QoDGCJVZA4Bn43klhtJ/Ji/d8ee+xRHHPMMWm9mbWDDELEwBq/LbfcMoWJIojZGyP0T9KZfffdt1pkIqsLfVnjC95QRFOyGeGOEtRst912xY477pg+Iy5COBFEyXiy1yyTQpdoRcZ85wWrbuKYTLJg3W2SQLkIIhJy/MzaNx5V3h9hrZRPQiF9M8qiX3kQPaDz/pvqa7aJR5demQiwZnCzzTbrGvY5V23N/ez6iK3JDd/l5EKM3Ky/neo4bD3splPqNip6aHLGxtXTKrfffnt6sAphth55mkR4swk5ycdyNMa0tN+zUBTLNOv+bPf10UcfHZjXAD1w6g4S54bxiwxjUrt7DUbviBjTFuwTS5A4c9pNfo4sQexETIQ7yQp6yCGHJA+JpDIIFG9eryLETTgkosBTZIYKAUT+rEfjUSFm9ngSGd1CPIU6iOPNAPPUMcaroj1YOqOX4d5O/CbEUcbKSy+9NBEW5yKwZoN4M5AvBC7PCgkJZNDzcriG+hD1QHBJPoanppvAglcQkeCFQpKytOoXHlWEnfFonaO+sQYOUUS64DnKBFGbTAboO0ldykawtn3mM59JiXdgwUttjSldaSflvq4e0+m36rG9/K/v89oVa17phSQ7JhXoNs87b3k3j+Kw9bDTPZDbPW16mNsd74FAIBAIBAKBQCAQCMwlAiNLEBEdIX4EGfKZcY20CH+0Nx2iJPxSSJ01QkhKJkd5DSJCVvZElElTGXjrzOxXJ6TIbLGkH9kbwwumPEYtgmhNBpLIVS3kU2glLwMCgcQ5XphIJo1c/cKUrAdTf5kmOwmPG0KoXMa8z4iddY3WxTH4ETEGNPFudt95roO4anMOk0UG1FmymTpYIJOuqw3C/ISX5TJ52DLGyKe2wf60005L59iCA35C0Q488MAFrtepzXP5mzaaKUesqn0DC+tdrfnk0eVJvOyyyxKWOZQTMW/X151+o0vZU9tOL8v9Vf5cxqt8LkJLL3mUTTTwRtMjW43oRxMpH/nIR9IEQLmMVp+HqYeuV25PuQ25LpOih8Yy92K+b3L78rv709hCh7zX8fDmc1u9u47ZY/pM/+iZ7MndJgValTUb3xlbTULRgSzGUBN0ZSyMN46DZxb3YLvM0PmYcX2HB73Jk3za0QqXcW1f1Hv2EYh7rTvmgVF3jJocEeNYE7RG69iRI4iMGsSP1wnxIEgIAocUWgcjbI6Hi3HAIOZGZ/ww4JE6wkgWGoXkSF7DOCbIACOfZ0tZDDLEE0E499xzExG0XYNMpYxsxAw5QMB47HhlclZP2UGFfB500EGJUDJcGCv2HHScTJ7qilQp2zpBHpwqCUkVK/1xrmQ1vJaIp3OIUEeeRW1ThyzajAjsOrOVhtALJJVHDI4IL1IpHBWphEknLJSpzcqXAOfss89OHjP7TWoLsoHUwI1HSp8gqMoUgqmOEjoI89UORBFRGVVBfG1n4qWu+kp/0y3tZGg7JmcSRc6vnNneBN7zZtZYCjszSdGur3kjW/2mT4QJd+oLxiGdzutLXdvx7geinyQlonP63Dpc+qiPYU4P6RE9dS/RT+0xweL+6SbD0kNrbD2Eu92Xk6KHxjRhiry4JnDypIB+oztInDHI/9YU8/rCvkyOuvVV/t19J/qBjnow009lCQGnc3l8zMePwrv7S+ZmY0kmQ+4Zof3uxSyOE5Vg/DaO+83eiHl8zMdNyntZb/J6K/ezBE95QmpS2hrtmB0E4l7rjnNg1B2jJkfEONYErdE69qEz5OagVlVivDFmeJJmc+2FazLWhfExnBhM0vgjgAxbs+EMHcYjA9q7WVWGsrVhDC6ePO+SjTD67WHHQMtJFhA/BAeZcS7jDGFkXCM9iA5jjjFiob5QT7/xaCBsCBBvnmszwrwQVeUhYrx1yJTfGfOuBUOewE033XR+EplWuOfvGHIMRsaPaxJl8g6oh7aWjT2hp/qK4Y9AIofIBEOcR886Rp+1pxMW+frayFBFKmDiHH2gPurFuwQD/eHa6mVgzeQbQfWbTLM5FDaXPaz3TKBgrS/qCAJtLSu84MmrxfBUd21itNreAnbwoI/6wXE+w6lTXyOWrfQASaJfnfpCP0qKg9S5B0x26HvGM6H/PN2Mf6HOFhwrj/FoPa2tSXxWV3qIyNOb9ddfv5YOusYw9FCdGPh1dHGu9dDYgVzDrVfJemUMMYFjQstn35u0oWfWvdrH1JoA91w5G3Hd6zrPnpnvec97km6ttdZaaWw7+OCDEyn1v7GoqZigMHFiQqNM2JqW0+54+mlyw0SGNdd03n3nvjGZlskQwszYgJ814n4zkWU8Gpa4p4x/xrBcj2Fdq1ou/fBsohP2NjU553m14YYbzkpd6L7ncT+6X21T/N8ZgYy5ydlhyCjfa03aO0ycJgUjdrDxi4iCmiuZ63Gs3O6sNzGmPYDKfTMOCPYN/cgRcWW8Rs6DyAh/4xvfmF7lilY/mzlGnBjPDHTGMwOCwWDrCt/lWfidd9658GonzkM6N9lkk+LKmZl3hkmevc9eF4TZg1qymkwQ3/e+96U1ioiR6+eQT9dxPkLIsGCce7CrU11BPrTDzZVFvdQRWSknpcm/a+/rXve6RAaz10korPOI63fDIpfluryVPFEMJDgoy7vra2vGSPscx1AzKCFbyKTjWyldvsYovNOhww47rGVV4IV8eXWSbn3dTg+69QUdEKbrVRU4v+lNb0rk3PUNePo8414mAvqRgck7g2CWdapabvX/YeihayDg3drvuEnQQ31hsooeITf6yXjAuyzkl4gWMAGGBDDK3Wf777///Hs3HdTlj0kqSZSsk0U8TY7xPLlXEQ06YzJn1MS4Yc9UEzw84dphcuvkk09OhJQn3L1oLJFN1GSeSbkNNthgKIR1VPChNya6TMqZaPKsCwkE+kEg7rXu6AVG3TFqckSMY03QGq1jR44gNoGHwVAlIAygpkYQgsMw4ymygTfDOxvRfrv44ouLI444Is2+Z1Kkno5BDL3aCUPQq6nwnpYJZz4/hzrm/1u9M6aWHFDWUOSSoZnF/1XMXc+LqHedOubyJum9U193+q0XDKo61U3vPfS8mkroYVPE2h+fIxfyEeWxRHQDkmgcMqNnphO5Q9DrCgLBk0yMTSaM8swgkmFia1SFd059TRDSORjwhn/uc59LE028n74nIgR4WKvj0Ki2rd960ZP8POq3rDg/EIh7rbsOBEbdMWp6RIxjTRGb++PHmiAOCj6JD3gIcwIE63gYH2bdeV0QHjPyvJOMmJBAIBAIBAaJAM9vOSpA2KkQ4iw8ZkgTb34W3mAhn4iTMYv3jfeeCMUUtskDJaogT+Dkc0f1XcQFMvjlL385eVqFIR955JHzyW4mSmVyPapt6aVenjc8yMLLeZGRen0Z0hqBHLHC6+x57bntee1ZziNPX0SymIDJkTStS5q+b6f9XqvT44FRHZQWPibGsQcwGffxKQjiTD96CFsbyLgya804YXgx2oSDedhstNFG6ZiFb4X4JhAIBAKB/hDg/UMKSI4AYNgSD1tJu0455ZQUesmraKwSYWB9sQRaQjJFOiCFBMmwtta52267bfLMpR9G/I91jtZfWQdkj1trVWUNtqZcqDUP46SKvhIefNxxx6W1pDz+wpJNDiCLIQsjICxZAjhrVxFC6+KFIZtIkazJfQXD3XffPSUWK4feL1zadH0zzfda3Z4OjOoi9eBxMY49iMW4j09BEGf6EhG0plGGOIaX0C7r7ITxzZvJVCnxSzWk70EViE+BQCAQCDRDgLeDh1DyF++Sy9iwFhEyFlnrnKMVkL5PfepTaX30fvvtl9YmIovvete70rkf+tCHUoIqSYkk2BJmikghjya2xi3km5G/60xGZmOxvW2RRHurIsz77LNPM6DH6GiZui1lOPXUU9P6VH3NS4wwWuoQsjACJnJ5nOUHQAjpCsysyTZxwvvsXjHJa4/bbhnEF77CZH/T5F5jEzF4O+kij63xxhrzSZEmGFXbbJynkyZ4Oi1Fqp43zv/HOPZg7437+BQE8cG+TCEo1u4Nav1eqej4GAgEAoHAfARsdSEk9POf/3xabyijrRBT+4hKTpUzF5uNteUO7yCCJJut4xjB1uLJtiwxDXLo/xxGJ+zUMV7jKEK79txzzxTBwfA3aZcjO8a1TZ36gfEts60kRvrXcgZ9avJSaLHv6ULIwgiYvM3rq5GT9dZbr9hhhx2SR15EkIy47i+e6CCIC+NX914zYWOixgSUkF1k0YSUcUeeAmSIx5buSiw1SVIXo2qbTf7Jgu/d2O5+nmSJcWzh3h3n8enBFJkLtyu+CQQCgUAgEBgCAnnBPgOLASEk1Ayz8DjJarIIm7N1jDVWZqERJcYuI00iBWscfDdpwhNhK5i99947besCrzvvvLM49thjUzIxYZeTJAxrWwPpb94XBjiSDwdhkTlBzyS1eRhtEZ6dPeZwNINPkGye+LwH6TCuPa5l1r3X8lhEH9ddd900GSUM3JZksjTz2BrH7MM7aVIXo2q7baN10kknFRdeeOFEjtPV9sY4VkVkwf/HbXwKD+KC/Rf/BQKBQCAwdATMJDOoeDvsVcVLxrBiTNjn0m9IkZln5JAwvoRcIpXkZS972fyoh/TFhP1BgO35Zz3ZRz/60RSOK7urECabxU+SCENjgBMGeCxp6L93yziaUHAvSf40LdlvmyBY517j2V5jjTXS9l3W5sGXGKd4EZFGRErY/CRKHYzK7aZzJn1M6MHH/q482/CaVIlxrH7PjsP4FASxfn/GkYFAIBAIDAwBhgKPodAjpA8BFC56wgknJM+Htc8kGxQ8I6961avS3qsDq8SIF8QLZD0mbP793/89kWWz1F6TJJLyZO+WUD2vkP4RyDhmTyySE9IagW73mvEIubbFTCsPPozth7zkgLbYal3Luf22G0bl2gnJFenBa2R8v+aaa9LaWGRxUiXGsWY9O+rjU4SYNuvPODoQCAQCgYEhYP9KG74jQWaof//73xcXXHBBcfbZZ6fwUQaJtYeML78xOHhBsvCKWAs0KdKKHFnftOOOOyaMJtX7IyMtA9xkgLBhSVWytMIk/xbvCyJQxkoyFR4NYnLFfZTX6C541nT+V8YqI9DpXuM1lLDFWNROYLzUUku1+3nsvm+KUW6g82SWpnfbb799+jqvhc3HTOJ7jGOde7WsT+MwPrW/0zu3M34NBAKBQCAQaICANYQW8RPeIrPwZlyt39l6663nh5UKoZSQxdoes83LLrtsMm6RhhtuuKG46qqrkkft3nvvTbPSsp+S8uxt+XP6ccT/eHDChkGPIFXlBS94QbHbbrulLQtyaFv1mHH+X+KdpZdeOq1DhQHj0oSA8GIhe3lSQKKaTlkkxxmDQdTdnpFCdeEEN4mgkG7EZsUVVxzEJca+jGm/1+p0YL8YuYeN15KKrb766unetoba2D3JyaZiHOusXeM2PgVB7Nyf8WsgEAgEAn0hwCDg+bOXobAj4jtE0KwyIpBDTW1zwThBDo855ph0zEorrZQyWtqvVabLgw46KG2H8NnPfjatb/E9TyLCKBkH4VVkkEhgM+p76CE8DHl7AFqvc+WVVybjvlxvRv7KK6+cktYsv/zyE5cNkGdL9kd7QFp/qP+FGp955pnJqDShgBhbj0lnMmFMnR1/5iOAHMr6e8kllyQvvM8S1djneM0115x/3LR+iHute88PAiPJaYxpokJ4XHlVTfa4r/Netd1rMn5HxDjWuc/GbXyKgPzO/Rm/BgKBQCDQFwJmkq+//vq0JYVN7r0ID6JQUuGl9mCVkAWBlLCGmIU247zTTjslYsSbaL835ACRMjMtnTwPozUuCCeyKFmEJDiZdNkoXCjrqIqHpkyuCK6QLG30vvHGG6ctH3K9rR/Tln333Tdldp00T6ItGOzziCAiy/ZD5PXSZqG1SKLspvCiG4zPkAUREOJoy4vTTz89JX9yrwnh3nnnnQvhb9Muca9114B+MRIJcf/996cENTmSA3HiXZO0xgSYiIhJ3fIixrH2OjZu41MQxPZ9Gb8EAoFAINA3Aja8t6edVycxy2wz71aCML3vfe9L5IjH0ZYYZYP3Oc95TnHggQe2OnXkv1t88cUTMUKOugmiJIPpvHnzxnaPx3Zt5GlACCX64CnkQWVQ5NBk/c2TGtIeAYa4CZKNNtooeWzoy7RsUN4elQd/GdS9lomPksufH7zS+H7qFyOhzcLkd9lll/lea/vVmiiUhZpXW7Ixkz2TKDGOte/VcRufgiC278v4JRAIBAKBkUHAg5exO+0GL0/qJGcCZERIFpLF/5OanCe3sd93Ydkkr+3lMR9lr3m/7Z2t81vda8Ljeci8yB/+8IcUwSCsXVKtaZMyRjz7PIQ8hSussEKKEjGpw6uNENJP0QHnn39+Sl4T49h0aMu4jk+xBnE69DNaGQgEAoFAIBAITBQCvKuICZJCeNfvu+++5K3JRtlENXgEGmO9MwIk1J23VpKtn/70pwn3EajenFbBmm/rD23DY39bnkQhp9aGCwmHl21CLAmY1P0i57QDRuzi4z4+hQdxxBQqqhMIBAKBQCAQCAQC3REQtsfYZohZi2tdqrWs2YMzaetUuyMy/CNEMAiR9ApZEIFlllmm+MhHPrLglzP/rbHGGum10A/xxUQjMO7jUxDEiVbPaFwgEAgEAoFAIDCZCAjfQwzf8Y53LNBAiX6sjQsJBAKBQGCuEBj38SkI4lxpTlw3EAgEAoFAIBAIBHpGQOKe2N+wZ/jixEAgEBgiAuM+PrUliBIiiDX/3ve+l7KBDRHDKDoQGAgC4v9tE2Ah+C233DKQMqOQ6UaAPkk8MM36JIQPDpJ+2GpimsR6NhlF7WE5bUlPQvdnX9MD83qYB07dcbIu19pQMs3PrzJSoTdlNIoUjm+7rXbykJmF3A+k/6occcMNNxSnnHJK2tA59luqgBP/jiQCFoTbjJa+Tnumx5HsoDGslPVMEl/ISDetYh0FDGy1MclZ91r1rz3RTJTKKjpt5Dh0v5VGDPc7kzEM+2keb+ogHDh1R4nhb/xi4i+66KLdT5iCI2JMW7CT2cu2yNpjjz2Kpz3taQv+OPNf2+lgyuXETTbZZIGU2wuVEF8EAiOCgNl+ewxJJ21z6ZBAoF8Ejj322OQ9+tCHPtRvUWN7voQfN954Y7HccstNneF6+eWXF3feeWfxmte8JhHkse3EHioeut8DaH2eAvNbb721mObxpg6EgVN3lBj/xi+y9dZbdz9hCo74whe+EPdXqZ+vvvrq9HwrfbXAx7YE0ayDBZaygIUHcQHM4p8RRYCuCo020x86O6KdNGbVokt0apr1yX310Ic+tHjYwx42dTjof89BexFOmw7o72nX/dkermK8qYd44NQdJ2OWcZtM29jVDp3QmwWRgUenZF6xD+KCeMV/gUAgEAgEAoFAIBAIBAKBQCAQCEwtAm09iOOACC+nhCRtllEu0ASzwGZDveyZ9Kc//SnNDFtXExIINEWgne5lHaNvrSR0rxUq8V0gEAgEAoFAIBAIBAKBwKggMNYEEcn78Y9/XMheKZECd7r9j/LmuIx4ayn/8pe/FI9+9KOLJZdcMoVJff/7309xt4svvnix2WabjUpfRD3GCAEJcX7yk5+klyyXdE8Yh7AOoVl08ElPelLx9Kc/Penk3/72t+JXv/pVEbo3Rp0cVQ0EAoFAIBAIBAKBQGAKERhrgvjnP/+5uOOOO4oTTzyx+OpXv5oyNa2xxhrzk+rwLiKO99xzT/IWbrvttilTzzHHHFNcd911xb777hsEcQqVfhBNRhDvuuuu4vjjjy/OOeecpHurrbZa8ZSnPCVti2DyAjnceOONC9+L9ZYZeFJ1L8ex86CGBAKBQCAQCAQCgUAgEAiMLwJjTRClZd1qq61SCvZLLrkkZdl797vfXbzoRS9aoEfs5XjeeecVT3ziE4stt9wy7WslK19IINArArbReOUrX1n85je/Kb72ta8VL3zhCwu6t/zyyyeC6LtDDz20uPjii4u3vOUtxe677z6xumcS5ne/+13K8mhj2JBAIBAIBAKBQCAQCAQCgfFFYOyn+3OGOaF9eZ1htTue97znFeuvv36xyCKLzM/KFlmdqijF/70gIJyU7uW1h8qwrlXostTSNqq98MILU2ipY+jdJOneX//61+Kaa64pvvSlL6VQ714wjHMCgUAgEAgEAoFAIBAIBEYHgbH2INaBUSigNYgvfvGL569N7HSe0EBeIecJm3vsYx+bwgYZ9Yxhe8vYOBkZ9ZuNo61Bs7ktEUpo7ZnvlZU3KuW99J11kTwuv/zlL1O9lPvUpz61yJ4XYbHKc/1HPepR6Zo2qVam44jQWuWqTyYdyn7MYx6Tfi//sfZNnV2TKFNZ1mq6Ri4HqREeqbwm5ZevFZ8fRAC+PNx0BPZ0qpN00wvnSnCjLC99b90jnXCNsnTrvzrlWLtL71yHbrgXfvGLX6R316QrfvvWt75VHHfccUmPeE/z/aL9ZQk9LKMRnwOBQCAQCAQCgUAgEBhdBCaaIDK677777uS9sTbRmrB2wgBG2hi8981suM74ZSDzDjF8rSMjl112WQobRLQ22WSTYtVVVy1uueWWtAYSCRBquMUWWyQyiHydccYZiaBZ/4ik/vznPy9uuummwubTDG6G8worrFC84hWvSCRREpOrrroqEQrH33vvvcX1119fbLjhhsVuu+2WSKfw2O985zuJ8DpfO1/2spcVL3/5yxdqHpJq8/iLLrooEcLVV189hToy4BFHobcw2nTTTYt11123cfkLXTC+SAjoF0TOOzL1zGc+sy0ydK+TXiy66KKp76y3te6RSHjz61//unjJS15SbLTRRknffO+anfTDpEC3cug+naAzdJpuIZWXXnppqic92XHHHVMGYd9deeWVqY1XXHFFmiihh8961rNUZ76EHs6HIj4EAoFAIBAIBAKBQCAw0giMfYhpGV2E7rbbbkvJQL75zW8W1157bfGVr3wlESQGbidB5k466aTii1/8YiKE1o3tvPPOyRD/wAc+UJx55pnJ67bYYosVP/zhD5ORzWuHdCJyPIFXX3118iDmNZB+41HhwXzuc5+bCOjZZ5+dSOjmm2+e1qXxOH7sYx9LiXZkxTz//PPT2rWzzjorJdK5//770/nqx7t46623Fqeeemry6uy1114plFHbfvCDH7RsHs/lsssum4gK4sn4z0TZuzbwhiKpwiWblt/yolP8ZfYAf/vb3056p/9XWWWVYokllmiLiomJTnqB1Em09IlPfCKtd0Tmd9lll6Rrhx12WNKTXHi3/qtTDg+2SYlTTjmlOPfcc4uvf/3riRi+4AUvSBMIJ5xwQtJ16zBNvCy33HIpMZSJEUl5sn7lOnkPPSyjEZ8DgUAgEAgEAoFAIBAYXQQmiiD+6Ec/Kr785S8XRx11VHp96lOfSkYuA7yT8OAwiHn7eHp4BYVaLrXUUsV2222XyBhjmacQ+VtvvfVSSB1vH++dc3hZkESETggq4SFEvnhUeOwQViTSmkjbIPBO8jgiFYxwRBJxXHnllVMZri/Rycknn1y86U1vSgROmbyKSCGvjGN4kHiZ2onrbbDBBqlNd955ZwphdSzvkHJe+tKXpnBI3/VSvvOmXSRp4dW1Hs+kxBe+8IU0kSA5za677pr6uhVG+r6bXtAzkx+8kfoSqRcmvOTMti28iDyCWbr1X51yhJDyEq644ooppBQB3HvvvYv99tuv2GGHHZLnWeInOowA02OfkUCh0iYaWknoYStU4rtAIBAIBAKBQCAQCARGC4GJCjHlyXvf+95XLLPMMom4IVBCKBGqToLQ8bwgTIxYXr0s/kfYjp/ZzkCophBNhAqZFMondNQaLQTQXosMZ2UJSeXVUwceH2sUfS90z/dCBAnPoHpbr6YeDH8GN9KpHdaZ5fWJjs/eGd5O11tzzTWLZz/72cVznvMcP7cU7REmi8TefvvtyYO5zjrrJK+Ueqlfll7Kz+dO8zvvL51AkoQfI28mF1ZaaaWkH+2wqasXdOT9739/moRA8rzojrWCPIxZuvVf3XLoDNKXveT0kNBPnyXfMTnSREIPm6AVxwYCgUAgEAgEAoFAIDA3CDzIhObm+gO9Kq8fcpUTZDDUESHkyffthJGOsDmmmuiFwc87h7zx1hChdsIGkUFrFpGvn/3sZ+m6yuGN5BnkzclkDym0zkxdtt9++0J4XlkYz+qbyay2eFUFabS9whFHHFEceOCBaR2kUFhr0TqJ6/JkCknksUJ61dk1hL9m6bX8fP60viNehxxySCL7TTDgeayjF8iadX30wzpEBPG+mbWyvN9lotat/xC+OuW0awN94RWvXrfd8dXvQw+riMT/gUAgMEoIiNQQzSMSItsSo1S/qEsgEAhMJwLGJcvEcAWcgS02TJkogtgKKJ6cxRdfvCXZqh6PBPIiliU/JBA9Rjqxnow3DtG67rrrUicx2F//+tcnLxLSaN2fJDCOIzpVdkkdLKwwZyRNP8788VBidHcThBXB5MnhRbRmUcKbAw44IIWaUppWQqGQSGsob7755lR3CU2EzJaJaK/lt7pmfNcdgbp6YeLhnHPOSWHOPL68kwYHiWTK0q3/6HedcsplDvJz6OEg0YyyAoFAYFAIeC57jps4ZQsgh6J3PGtFCYUEAoFAIDCXCMh/Ir+KcYkzK0d2sftN/IsmHKQs7KIaZOkjUBbyA7wyCapWi1GNRCJwP/7xjxOZy8cI4fO9TJS8H8RaQ8QK2bKmEElEIK0fRAiFkQo3RAZ5lkjeRiJ3MGKQBTn0vbVm3YSBrz7WgvEiSlbCk2SdopDDTrL00ksXa621VgotlYxH+Ktw2bL0U365nPhcD4E6esFTfeVMptBjjjkmebNlvKVvPIdl76Erduo/Hu265dSrfZFIKqKqHnUmOJQbelgX3TguEAgEZgsBuQpM+splYG21sVTyMN+FBAKBQCAw1wgYmyQJPPjgg4t3vvOdxdvf/vZijz32KN785jenLPODrt/YE0SGqUQrZv+8fO4kjs/HeSfW8iFyPIOyoDLIszCqkUaJOrI30G/Pf/7z03pEW1ZIEmJt4iKLLJKygSJeksFg88gkMQvpHGGqp59+etrKQrnWrpkRkNzEA4mR3akt1hDaasNxEtRIgmJTdt5A53cS6xyFljLotVGdhByWpZ/yy+VMy+eyLvWie3X0QgiqgcG6P9eTZZQeMWhMNJiI8DKZ0an/mpST9dD94pUlt9d3jkFU3T9m3IXLqgf97yShh+3RgSs9aqVLvoNt+ZX7Xd/rj3EV7dYGr26SMaKL4yL5fvHeVOpgk8uvlt3u++pxo/R/rrP3bpLHo27H1fndc9xErczMJoAtT3nGM56RIm7q1KXONYZ9jHoaJzrdGxnfal3afV89rtf/69St17KbnlenLu3waPd90zq0O75O3dqdO+zvc9u915V8TvX4dt9Xj+NAKedZqP4+2//netfBYJDjk3aytbbccsvkLPj85z9fHHnkkcU73vGOYs899yxe/epXDxyK1vGIA7/McAqkNIxe6/sYSjmjo0Qd1vhl92u+OkVD+DwErDt0LqNbuCfiJET0tNNOS7OGwkmROwRQ2ZLRCBvNwsiV5XHJmRBWRM06RGINmPWJDJ0yoRRah0TKOHr55ZenkFCJbHwvrEXmVCT1hhtuSHXkDUQylYvE5bYgBcikY3kwhbGa7cxbDeT6tXvXBvVQvgQqVem3/Gp5k/o/nYAV3aOHdA85s14V6atm8uyke930gtcX+aKTJgcYLfSGHtMLhg09tTa2U//xgPNudyvHcSYv3BuIn890lGgvndNe188EVwbXSy65JB3j3uAl7CShhwujw7AzyWMCwJhUTk5Fx/QzHSuLMcB6ZxMFCCL9y5NS5eNG9bP7QpuNx3myw6QDHYdBOfLDsfTOy2djrDAbGNDDYa/H6AVDRoSxwgSPd88KD/k60gQbzzXrk+FhbCAiTUjGMv0zwn/qYkXPjUHGRH0OJ2OaZ75ooF6FrhkfZaGWxVmIqfLp1yjqVrmdTe6N2daVJnUrt2kYn5vUZZpxqmJf996snuf/fnA0ZnrmeTdxM5dSF4NhjU/ajm94LrL1XIcN5vkpmWY1r8kgsBprgugBIfzDmgFGNMPI/nOMJIQvPygzUGbeZRJFjiRsYcQzbJEzBsZrXvOalE1UGJ59CAHOaNlqq61SttBcjncPDIaZ9P+M4UwIdCCG7wHmwVIWJO5tb3tb6mD19OK1xPztH6c99qlDCLWFd5ECIIOZIDK+XdsG5ZRE212nvFl6+ZrVz64nyQ1yTKmq0m/51fIm9X8GrWRE8Ddw6S+6JPs/i3fyAABAAElEQVQs4p31Ibe/k+510wtGn8kGExhCmq07FM680047JcNI0hp6rZxO/Uef65Tj/mHQun+QRbpi+xYDpLWQJkDUibedIWWmnWGFpLr+jjvumJvd9j30cEFokMP7ZkLF6ZT7nx6VBTE/9thjU/+Xv7d9jfHHeGMbHjpgvECyRl20md4Yw820muiiZwwCY6vkW/SEOBYGV1xxRRq/tY+OIovGfmNoFbO5bH82EkzYeNl+CWGTiRhJ7CZNsFGWceGggw5KupPX3DOq6Ib7kVExqtIUKxNXJqPoPCxNqNAbY5XnaK8kEVbGSIncPJtF/Kjb+uuvP6rQpXo1vTdmU1ea1m2YQDety7TiVO6Dpvdm+dz8uVccXVuk22c+85lk088VQWyKwbDGJ3ga27MY/ziR2Gm4wDBkrAkiQ5YR4VVHPDis3/JqJQyzbbbZJhE8IZuImFn8drOHCBYDppwYxqyjh1SrEA8kj9fRpvQeamazlG/2kzC699133/RqVT/fzZs3r1h77bWTwYSkmPXUrkwg252Xv0dcNtxww1S/8ux8/r3f8nM5k/4unFiiGK860k33OumF8unae97znuSt1Nd58oMu0SO6qz+79V/dchhbre6r7CkvtxlJ5A3n0ambzCH08EEEEW/en69+9avJQHV/lgmeSSpEyjroT3/60w+eOPMJKbI43Ts9sJ+qsccEWav7e4GT5/gfE3UXXHBBInzWUrineEo/+9nPJiPduLj//vundnjoirwwXgqnMSabOWU8HH744Wkiz2TdqGSd1Af67Kqrrkr9wQuvPfq6jjTBRnn6mmfSdbNn3xZIIl8QnVGWJliJaJCYTSI4uoHUwfTKmUldJBwOnuG+Q5C7hSwbh+iM80xuIYMmHi688MJUprLyWDuqGDa9N2ZTV5rWbZgYN63LtOJU7oMm92b5vPLnXnEUtWRCUMSc+3CupAkGdccnmCi36RiVMTDZIdmkSWX5SIYlY00QhwWKhwaPYjdhqLciZmXjrlUZlKMcPtbqmHbfOZe4rgdaL6J9Xq1kEOW3Kje+645AN70wEcHLUhZGYTlkrU7/1SmnfI06nxlZTY3z0MMHkDVZxCPCU8srXB0/GPxmCs0eSiqFhOd+zn3jf55DM67WOAuzz963fMyovTMAJOYSKcELjiDSIeMab5vfkF7eeV5F+87yFPoORrw98DjllFOSIbHJJpskz+MotJNuCx33Qv4RRP1bV5pgo0wTRDyFJj+RI/1fd7Kmbp2GdVwTrOiE/YhNimRPrMkCJNjYePHFF6doGt8h6Ly3nYRnVbi7yVkeap7D9dZbLxmkooi8GGOSQIwqnk3vjaa64n5jzHYa32HkpS/LNlHTunXqq35/a1qXacWpjHOTe7N8XvlzUxyda1LUswypFyI/l9IEg7rjE/sfmWwyRpVtPxOInpnEc3BYEgRxWMhGuYFAIBAIdEFA+ApvCONFqGQ1FJBhJnRZVmReQjOOPEMM4qpnw0QBY5cBfeaZZxb77LPP/OiELtWYk59FgORw95yem8fHg5ORaZLOw5kwGITfmtzgrc44IZPOFZ6PgAlNnQRpgo32IkQMiEyaJgGDVm3g3UO2hfGXJ0kYXDzs7iWTKXAQ1m/ypZO4h+gc/ZIsTlQOTzS9E0p//PHHp3vTVlKWooyiNL03muqK+4qnQvRJqzBu+DGMhbwJcS8T6aZ1Gya+TesyrTgNug+a4miCS8i4MV2EgOUz4yJ1xydjiQmVJmNUGQP3G4LIFhimBEEcJrpRdiAQCAQCHRDwEBQWai2rzIlVMXvvAcsAtj5ZEithxTKXCTUvh7c7l5fRjK3QRuRrlAkDQ9Ja2iwMA8a/WVWG5ryZcPrsjbDGwhpcXtHyGjOEGaEUvtnJw5GvMS7vTbDJbYKFhBAMYUY73UCgqxMJ+fhxezdZgqy4V/KyjNwGXmZeQO3nCWSA0Z+6khMfmXjIkxI82sLnTeLAdlSll3ujia4Yg5Bn3lWhfmWSSM94es4777xEDEUxlKWXupXPH+TnXuoyjTgNEvNcVhMcRU+YkDDhOcrPr9y2/N50fOL5azJG5et451lFosuTMeXfB/U5COKgkIxyAoFAIBBoiIDwUaGT2RNWPR3psY7M2igeNFmWrcWzJ+aSMwmxnvvc5y5wCi8KEmXthpnXcXjAerAyCjz0rCWz/vstb3lLCvXLjWPceZXFDGyesbVus4pF+dhx/VwHG22DBeJkAgFhNvHgncEuucOwDYnZwBdR0SYTCdUwbBMJiJ01rLyATQU+yKFZefckbyzsecWEs47yOs6m90ZTXTGGmMgRbit8PZPEMjmElzXrJqfK0rRu5XMH/blpXaYVp0Hj3gRH97gIAITS5IzxbFxkmONTGQPjn+elsdCk2DAlCOIw0Y2yA4FAIBDogABDXmZYYZLltaTlU3gQzTba71QIJSMMSeR5rJIiRjJvo4cVwjAOoq68o9aPmRVljAuxZIBWPUXl9vA2CilElGWOtu5u0qQuNnntJu8yQsOLKGnL0UcfncijtYnlkMxxxIk+aBfPaPbyldvBcMrHlL+v8xnhlOEZKTS5Qv9cixHGm+3/cZJO90YvumL7Lut/ha6bpHK/Cd+1JQhyuMsuuyzg2e+EVae6dTpvGL91qkvgNBjE6+Lo/rUePW/b0O55OJhaDb6UPPYMY3wq1xZO7AERRyaEhylBEIeJbpQdCAQCgUAHBMwEIol1wwCRIduKXHfddSmcrlXRSJUZWOF4HiYI5igLA4Jxbs2X8EBZSYXQymxqFrkVSeQlkthHApg3vvGNKTPzKLex17rVxUYyHBgKtSQID6Ne/5977rkpWc6wjYle29j0PPpcJbuIHU+F9nr1Ikjg1ltvndYFuXdcQzhl1VvZS9mzeU63e6NXXaFPtvw69dRTiyOOOCKNWXSqCTnsVrfA6QEERgmnfvukrr6ZcOC9N+ZVo0X6rcNsnj+s8Sm3wbhkpwTPxjrJNPN5vbw/kBKzlzPjnEAgEAgEAoG+EEDkhMW18oi0K1g4XCfD1Qwmg5mR0aux3O7ag/6+bNB7sEqEwaCQtOdzn/tcCiGtXlOGUwTZ2qftt98+GfXaPGlSFxueLn3tvSw8zbzJjC5JDcZdTBQwHq0JRAbLYvbevZSPKf/W9DPPBT201c+4kcNu90a/ugKTl7zkJWnPW+vEZHylY3WkW93qlDGoY7rVJXAaDNJ1cXT/GvNl5xQlI3mLl3vas8zv/hdRMaqSx55hj0/az2vPizjsyd8giKOqbVGvQCAQmHgErCEw2FeN+04NRyh5HBlrrYTxbJZRuVVPS6vj5+o7obWInnVfjIAskoNYRylZjRDSsjAYrK287bbb0gyq9ZnINYPP2sVJkSbY8Loed9xxxaWXXroAjvre2jz60i2b5zjgxgAzOaJN9KAsDEffIXflJEblYyb9c517ox9dgbFJGfee7WWWnIlm4MW3drjbRFSdus1W/9SpS+A0mN6oi6MJLl570TSeBzfddFN60TdRNn7znUmJUZVJHJ+CII6qtkW9AoFAYOIRECIiOQaCY+axm1gTZZ2GWftqxsB8LrLpYTXX+0fl+rR6Z1BedtllyQMoXI3RloWXCBFAdM0cZ8nr8e64445koFpXl8kCMsmwGEfR79qZ+78pNrZgOOmkk1KWyTJe9IBe5QQs44hNuc4I72KLLZbWAzIoy5LbSufHITFTue6D+Fz33uhVV5QveYg1hzzTBx98cNqzlVfHmsROJLFu3QaBQ7cy6tZl2nHqhmO736tjWV0cTfJZQ27C1Dr0/PKskyjKBJfvEMhRlUkcnyYvLqdH7THQmWn1MGVchQQC44QAY5oOCzmgwyHjgYA1PMJFPQDNlOY1BfoyJ5nxO48hY19WN5t/2xReGFxVEASeNJ4UyUpGVZCgTGTLHh/fMwKEGtmyIxv79BsBlMiGZxQRMLvseHiYYW61TcgotJ/RxEOaX+U6qb9ZcYaUREXCq5piQ4dkmZTEKK9BdE1bPti+AS68PeMgnbBSf15zOqHPTSrk9tIZ948ER63ui3Foe691bHJv9KIrxpQyObTmEEn0smbTHq3WJW633XZpLCuHvTWpW6/tr3tek7pMM07t8Ox2b7Yay+riSJdkW/YqC1vGRKL9fWXJnWvphsGkjU9BEGc0jqEi1MmG1BtssEHKWjbXihjXDwTqIGBGVDiaNUYe4oxqhmLIeCCA6CAFiJ9MnhK1ENn1bGWBJDL+Ldo3k2qdhuNt69BKEAKzrrKbtvMwtjpvtr8z24q47LbbbqltPEIMOETZOOz3TTfdNK13Ujd4CKNEECUTYZQSRglyIEGLrUBGSdQLcXVv6kcEJm/6bCJAKC3SyAA65JBDil133TV5ZppigxTJ/GccQAqRJnpw8803JyL9qle9av7EwyjhU65LHawcb3xbbbXV0j6f9uaTtRWGt9xyS9IFyRsYm9MkTe6NXnSFTl05s/0MYz2Tw4yvcQlJlN30wgsvTF7FcsKtJnXLZQ7rvUldphmnKv51781WY1kvOLq+54Ax0zPR9X02dtoOai6yVdfFYNLGpyCIM8oobMtaF+ETlE9a63EQsxmEQREynQjQXeQCmTDJse+++04UQZx0HbfQfK211krZOJG/lVZaKd3PvGo8JTxLQrjMTCJ9JrDMpraSPIPr4crDmL1vrY4dhe8ku0AKr7rqquT1RJgYcQgu4mi/tZwkRHiRMDbjc9aJ3AbhtrCB5SiJPRoZzcgbjy7D+Rvf+EYKldLP2itEdumll07ZIa3ryt6XJtggzMsvv3wq++qrr04Eid4g3bvvvnux5pprjhIsLetSBysnCj/eaKONEhmEJTHBKxGPdrabOEkHTuifJvdGL7oicsGkFJ1tRb6RRGuBZRT2PCoTxCZ1G3b3NKnLNONU7Ye692arsawXHF3fWG/sNLlmbPNsswene3wuCGJdDCZtfAqCOKOMjDGz1QY6D+lxEGFkZjXM6tXNIjYO7Yo6NkOAJ8KeVDwGNlyfJJkWHTfmWMxvtpTHSUgp8rDnnnsWr3vd6xKJQjAyeWjXx4ghYkAnGNGjLjKPrrrqqsmTyMA3S4zo8QLxrJbbu/baaxde4yRInlcn0UYTBF5laYKN84RVwgyOPD7z5s1LkwrjEm5eB6uMDy/CjjvumMJM3TdCjhHhUZsgyPUd9nvTe6OprpjA8OokPEVeVWlat+r5g/y/aV2mFacq5nXvzXZjWVMcXZ8t7jUqUhcD9Z2k8SkI4kyH5pCeUV3DUr1JzJhec801KRRL+FkQxCpC0/U//RVWltfjTELrp0nHGbg8g2Zg3dfIXb6n6/apNYtCCpFEBGsuZll71TuJCURtjEvkRq/t7OW8JtiYRBBWPMqhxb1g0OocBNpEildIcwSmSVeao/PgGYHTg1j082nacJyU8SkI4ozWc18Lo+CRE9IkqyCxONu6EcaqmVihTWZnvTvGAtzyLLcyJFdwfDbahWR4yBPX4RUpL7BXTjYG00Ezf3I53mV38rtyKJ2F+cJhrcdxLe53Bqa6cG/nc9vVIV8j3geDgMRG+kG/CK3RD/o+Z97yWf/l2e0mOiX8TpiYsumQc3kK6ZHr5Gt1akldnXMtuulFd5AVukm3snTTrTpl1Gm/63fS8VyfSXqXUIYXSbiwUNOVV155fnhlt3bCXXiX8Ezrs7xCAoFAIBAIBAKBQCAQ6BWBqSeIknwI67Lg3Uu410477ZSMZKnTL7roorSGRBIEhpi9phy/7rrrpjAX7mTCsBbiJ8GCLKjKZZw77+Uvf3kilc6zl4swMETTMRbZS9cuVtvxCIAyhM6I50dAkAOx18ggEqsOFo0jCFdccUUiEa6BiHSqQ69KEue1RwARlDiD50cohUX8JhPsFZX3iJI0ZocddmikU8iYrI2XX355Ipu8AiYrrr/++qSPCITkAMsss0wipK1qaCKjm845j47ZOiBvEyDZBT0UVsGbZXKim37XKQPxq3NPWezeTsdHOTNnqz5o8p0slu51E0g8gXmiqlsZJhCMOeuss05K4tHt+Pg9EAgEAoFAIBAIBAKBTghMfXYToVm8Fccee2xx4oknFhajEgYaY/yUU04pzj333OLrX/96MrbFRTvnhBNOKCQEyCLDklTPyMFee+2VEoUglIgeYfSdffbZ6VrCQq2Z4BH82Mc+lq7LwEb+zjnnnOKCCy5IxPKtb31rChdSt8MOOyyRSp4oqYCFY9kTaosttpgfUtatDrmu8T44BIQ4IYYWU0uawOOHqCPs1pHpSxMCpIlO8Uqef/75xWc+85nirLPOShMC1mhJVmJi4aijjioOP/zwpBPtWlNH55xr7dsnPvGJ4mtf+1pai4vk0k06J/EN6aZbdcqo2/5OOp4qM8F/kEKh7nXJISiQSut/ZFALCQQCgUAgEAgEAoFAoF8Epp4gSlDzyle+Mr3K4aIMNF7CFVdcMXn/ELK999672G+//ZI3iOfIPlxZeASFeSGFCKQMgrwvPIM8Itdee20ilMiE2X6hrDKD+Q35tEUBY5wnavXVV0+eRWF+PEdIINKhXOcK+3O+z+rvN6GoneqQ6xnvg0dAf+QQ0ly6cF/JQspryJroFGNfv8scp6+tUfvABz5QvPe9700vukOn6E4rqaNzSC3hmUQ66SZvoXrbN40XkWeRdNOtOmXUbX8nHU+ViT+BQCAQCAQCgUAgEAgEAkNDYOpDTCHLW8IotV6sLPl7RrOkDwgbYUD7LBWvsFDEMieFOOmkk1JKcyGhQsZ4fHiVeGCE1/EoCuEjvEQIoDBVBjhPppTo5TT2zt9///2TAZ/DWdPJLf50qkOLw+OrISNAL8qTDi7XRKfysSYBZCgkyjNZIZzw0EMPnR8Wmn4s/amjc0KYCR18//vfn8gsoudFN60X5Nkm3XSrThnKyW3qdk85NiQQCAQCgUAgEAgEAoFAYPYRCILYA+aIJEPdGq9MEK0F44k84ogjigMPPDDtQ7bzzjundVxCR60FQ/a23377hbxNjGYEUSgrolr2OrkOglBHOtWhzvlxzNwh0Eqn2tVGGLPQVrpnbWArqaNzeb8qZM3aPh5w6xARxPvuu2++fiu/m27VKaNVPfN31fbn7+M9EAgEAoFAIBAIBAKBQGB2EQiCOCC8kTjkj3eRF9H6MWvPDjjggGR8SzoimYTQv+r6IuF9fuPR4fnhYbQfWFmchxAgk+2kUx2Eu3Y6t12Z8f1oIiCkWH8jZq1EQphuOmeCg9A3a19vueWWtAZxu+22SxMgEjRl6aZbPN/dyshlxXsgEAgEAoFAIBAIBAKBwOgisGBM5ejWc+RrxkBmkMtWyYso0QcvzMknn5yyV8o4ahNjmVIZ71mQQ99LKCKpyf33359CTcvHII/CWR1DeBW9EMZs5Pu+Ux2EDIYMBwHeLy99gchn8b+XfhqkWOcq4YvkJMKYWwkvYzedswZRfa+cyYh7zDHHpPWyMupa86jO5Xp30i3e7zpltKpnu+/a6Xi74+P7QCAQCAQCgUAgEAgEAoHBIBAEcQbHTLQYy2XClQ3+qrHsOEZ6Pk9X2LvssssuS+dLUCNLqe0NcgigLIOSfpx++unFVVddlfYs+8lPfpIIo8Q0DGIZUnkRZTu1vQGCKauq7Jgypgr9Iwx4G486VighAimBTac6MPBDhoMAoiZJjb5A8JE3e9Ih9Yi+fspr+ZroVK5t9jDn/2UzNakgUY097+hh1knvhCe7m87RCbpDx9TVuepOT01GqLvfvb797W+31W/h03XKsKaxbvvb6XjGIN4DgUAgEAgEAoFAIBAIBIaDQPt4xeFcb+RKZXwLsUPWGPGMXcYxApaNfAa+z5mgSTQjiylDmqFubaFzED3JOmw/4XfZLSUUYagL7xTmifgJO2XYWwOmzFVXXbVYe+21U1lbbrllCtV7+9vfnrKZqgfDXVKSnLxGshpl2i/RXnvEd53qoE4hw0HAekD7Z5og+OIXv5jWkyJaMoBaT4rQ2QZC2HATncq1ReQQNH0sOZLN1JW/1VZbpa0NlEkPhSfTX2RPGLNsuJ10jt7RS/W39lX9JcOhl8pzLW2wdydv480339xSv+m/BEzdynBc3fZnglvV8aWXXjrDEu+BQCAQCAQCgUAgEAgEAkNA4KEHzUircnlChI4xyNqtc2p13rh9x6hmAPO+8VpYa8W4tsbLdxJ3IGk5MQhCZzsKxjOvEUN2iSWWSMa5zdH9zvNi2wqeJUY8csa4Fw6I7CGPSIOwRCF9tjNglAsJtNUAo105mai+6lWvSnsd5jWESIdzkVpeRnVj7PNWdqrDuPVN0/ry4PFk0VdkZLaErtAdEwmIkn4xMWAze7/x9EkC4xhEr65OIYE8x0gfXTIxkScnNtlkk5QIyTXpr/WD9JQO0WH6Ri+76Rw9ons5Ky8CxwM+b9685Jmkg7ZRQSK1rZV+25KjThlLzmydQT/rtN8ECD2v6rjtQ2ZTkGIYiAaYVskTaDLZ2rZnmsT9ZiJwhRVWWCB52DRgQPfZANOs+7PdzxlzdkFIewQCp/bY5F84PIxfhOMipEiT3DGmPagJ+AP7hn6wH6sy9R5EBM8DsNVDkMdHJtKqLL/88tWvkkHNCyj0FOlkeDPUGd7Euz0VGRoMf55LhjevS5YcZvrBD34wkT2hfcpAMsqCKNqjkRdS2B6CSBj1nepQLiM+DxYBOmGzeSQdEdQn+mbTTTdN/+er0ae6OpXP4dVzjg3UTTDQWfpF6Adjop1B0U3nlGFS4j3veU/yoNNTZI/QVXqaJ4hk6W2n33XKUGfEvW77W+l4qlj8CQQCgUAgEAgEAoFAIBAYGgJTTxAHhWw22BnYvDftxHGIYSdBFBGMTPzaHcubUvao1K1Du/Li+/4Q4PHyylIl9vn7Xt7pFTLYi9TROZMOQqLLYkapOqvUSb/rllG+RrfPVR3vdnz8HggEAoFAIBAIBAKBQCDQHwIPuCH6KyPODgQCgSEgkJPT8Nr5HBIIBAKBQCAQCAQCgUAgEAgMG4EgiMNGOMoPBHpAwNpC8eHeeQCtrbRVCbIYEggEAoFAIBAIBAKBQCAQCAwLgQgxHRayUW4g0AcCEoNIurP++uunLVCsR5UkxlrHnKyoj+Lj1EAgEAgEAoFAIBAIBAKBQKAlAkEQW8ISXwYCc4uAZC6zmYl1blsbVw8EAoFAIBAIBAKBQCAQGBUE2hJEiVJswG3LhrzJ96hUOuoRCLRCgK7K8il7aOhsK4Tiu6YICOn95z//OdX6lO8r62Cn7b4yluh/HvxyxummejSOx+e2T1ufz2VfBeb10A+cuuNkzGIPkbiHH8Ar9OYBHPJfeOB67aQtQRTG9qc//Snt22b9U0ggMOoIWKNnz0CDYYRhjnpvjUf97Atp25prr712PCo8hFras9XeUe6pP//5z0O4wugW+cMf/rD4zW9+U9xwww0LZIwe3RoPrmah+4PDsm5JgXk9pOyPO+3jcjek5C+AE5nm51cZp7i/ymgUxfe///3kCGxHEtsSRCe4AW1sXU11v+Al4r9AYDQQMCBau4co+hwSCPSLAHJk39Kbbrqp36LG9vzf//738+8pm8ZPk5hw8hy85ZZbFtqPdtJxCN2f/R6mb9M+3tRBnW7ac3iax+VuOIn8oE8hDyIQY9qDWPj0y1/+slhkkUUSSVzwlwf+a0sQhRM985nPLDbffPNi8cUXb3VufBcIjBQCZvuvuuqq4lnPelax3nrrjVTdojLjicDRRx9dfOc73ykOOOCA8WzAAGp9++23F9dff33xkpe8pFhppZUGUOL4FPG1r32tuOOOO4rXv/71xeMf//jxqfgAanrMMcckYjzNuj8AGBsVYbwxGRGYd4YtcOqMj19FPhi/yA477JDep/1PjGkLasAVV1xR3HrrrQt+WfovtrkogREfA4FAIBAIBAKBQCAQCAQCgUAgEJhmBIIgTnPvR9sDgUAgEAgEAoFAIBAIBAKBQCAQKCHQNsS0dMzQPsqSKsuS97JY/2hzcK+QQGAUEWinu1lv2y36lRVT8ie/P+5xjxvFpkWdAoFAIBAIBAKBQCAQCASmGIE5JYiyTVokaeGoeGlG92Mf+9hi0UUXLZ7+9KcXT3jCE6a4a6Lpo4wA3ZUhzEtSgYc+9KHFIx7xiOLhD394SmYhJf6TnvSkpMePfOQjC2t6JdCRNerOO+9M63o322yzUW5i1C0QCAQCgUAgEAgEAoFAYAoRmFOCKMuSLTTOPPPM4pRTTknbE0gu8oY3vCFlTh0GQbSnFZkW7+S0tXe27mEE8a677iqOP/744pxzzkmTGquttlrxlKc8JRFGXkKTHBtvvHHhe1sESJVvkfR1111X7LvvvsUkEcTQs9nSvLhOIBAIBAKBQCAQCAQCw0VgTgniE5/4xGLevHkp3O7b3/52Ssn7ile8othiiy2G0mppkX/3u9+l0L5hkM+hVLqPQqetvX1A1fjUJz/5ycUrX/nK+ZnCXvjCFxbvfve7i+WXXz4RRNnDDj300OLiiy8u3vKWtxS77757seWWWxa2CbjxxhsbX2+UTwg9G+XeiboFAoFAIBAIBAKBQCDQDIGRWOT3sIc9LIXnCcsTjjcM4a285pprii996UsppHUY1xilMqetvXOFPd0VVprXHqqHtYW8g1tvvXXx05/+tLjwwgtTaKljhKF6TYqEnk1KT0Y7AoFAIBAIBAKBQCAQeACBOfUgduuEv//974VNmhmhjG5hbL/4xS/S+1Of+tQUzpeTgfz5z39Omzk7Nhvi9q16zGMeU/zlL38pvvWtbxXHHXdcOoaXx1pH4YBIqTVkQgYf9ahHpWu5JiNeOc71vWP9/9vf/jYd7zMvJE+SxCPKEFaoXOGE1lY6l5dUXdUzbzitHdX6w8IaTN6YfK46OC57O+vi0am9CHgnrKp9Yu2cNqsXgYW1dcqBmU3pc/9kjJqUX73epPwPn6c97WlJH2BnjW0n6db3zqVnyvKCuXWP9IPOlaUb/nXKqaNr6tDuvqpO9IQelXsoPgcCgUAgEAgEAoFAIDC6CIwsQWR83n333cVFF12UjOuXvexlyUC+9NJLUyjquuuuW+y4447JCGcwC9uzoTXCxxhlcDvn5S9/eQordd6VV16ZiJ7NIf/whz8UK6ywQiJxNldnwL/4xS8u7r333rQp9Ite9KK0ruwb3/hG8bznPa/YZZddEkm97bbbiksuuSR5hniJttpqq8IG7Zdddlk6d8UVV0yk8Oqrry7uueeeYqmllkohs4jqzTffnNafScqz9tprz68/9UAaf/7znxc33XRT8d3vfjcRYe1QR2G3iGhdPITRtmovLJDNTlhVVRXphYF+QAhXX331FCqJACCO5513XqrXpptuWugTxzcpv3q9Sflf39FL74jzM5/5zLZN69b3kjbB3obd1j0SCW+Eq9q8fKONNpq/iXe3e6FOOXXvPRmI2+nZs571rAXaG3q0ABzxTyAQCAQCgUAgEAgEAiOLwEiEmLZCh0fu+uuvT8lrzj333OLrX/96IlAveMELEgk54YQTCiSM3HrrrcWpp56aCNxee+2Vwvt4SX7wgx+k35GrNdZYo1huueWKxRZbLBE2yUOEB55//vlprdhZZ52VyNv999+fSCOi+exnPzuFBiJICCVyhWQtssgixQUXXJCIHIP8lltuKU477bSUbOfyyy9P11VPxwtpPfzwwwsklFcGgVS3L3zhC4lopgrO/OE1PPvss5NHZvPNN09r1ngiP/axjxUnnnhiIox18WjXXklTumGV65PfeUCXXXbZRHS0AXlQDvHOS8s7isjCs2n5+TqT8o400V1raukN794qq6xSLLHEEm2b2K3vkTqTDZ/4xCcKaxuRcRMW9OOwww5LepsL74Z/nXLq3nud9CzXJ7+HHmUk4j0QCAQCgUAgEAgEAoHRRmBkCaLQOR4phIqHBbnbe++9i/3226/YYYcdkvfqe9/7XkJX2CnPH+LFU8Frx6vC80KQPYa6tWI+M1aRt+c85zkFMrbyyisXf/zjH9N5EoucfPLJxZve9KYUSskILgvPmRDLvI7M7+rJs5briaS+5jWvKbbddtsUAoioIpuve93rite//vXF9ttvn7xLPIUEqbj22msT4eWtVEd1lfjEb8gxgloXj3btReC6YVVua/6sThtssEEKsbVFAwJBeF1h/tKXvjR5cn3XS/nOG3fhteXBts71K1/5SpoA4FmWnGbXXXdN/dmqjXX63tYYwpN5I/UFUk4Hl1xyyeRF5FnM0g3/OuXUvfc66VmuT/k99KiMRnwOBAKBQCAQCAQCgUBgNBEY2RBTcPGQMEIZxLxV1lwRxrHPEoAIJc0erZNOOiltj7HmmmsmQoYAdpOcZEQI4DLLLJPKRR7Jfffdl96rf3jM8tpHvylDPa3Pc27+Tb2tQ+M59J4FyVR/pI945/kRQopMCh8k1vcJe3UuAqu8Onjk66dCKn96wUo/WLcpZPf2229PXs511lknebXUnUcrSy/l53PH+d1+iGeccUaafKAHyNt2221XrLTSSsmz3a5tdfueHrz//e9PExNIXl7PSrd4GLN0w79uOXXvvXzdOu+hR3VQimMCgUBgthEwjpqsyxO/+frsizzGes57dnd6vubz4j0QCAQCgWEhwFkg10gek4Z1nZEmiO0aLUGMQZrHzgCO2Nly4IgjjigOPPDAYpNNNil23nnntD6rXRnV75XpNUhBAhnFHjBlcR315n3zzvtk/SFCy7tY9VoqA+ngHWolVTw6PcB6xUrdhNcKaeTt5HW1ltK1n/vc586vVq/lzy9gTD8gXoccckgi9E2aULfvTQxY18dTbh0igmgCI98D+Zrd8DfJUKecXF71vapr1d+7/R961A2h+D0QCARmAwHPZRN0xmATfMihPWuzIIzWeVt24ljPYctLRCYZj0MCgUAgEJhNBIxJbD+2N6eRCStOKU4ziTwHLWNJEKsgCBlFrIDEi2hdofDNAw44IIWaGthHWazrk3nSjAAFEOJXFrMFiMAgpFesEFQJUazhlGwHSbT+UjIfpCFLr+Xn86ftvW7f8yqfc845ab0rjy3vpIkAyYPK0g1/YcF1yimXOcjPoUeDRDPKCgQCgV4RYGCJiLnhhhvS8g7LWMoE0drwr371q+k5J2IGiZQHwESppS+dJmJ7rVOcFwgEAoFAOwSMSRJZsrlFqflf0k2OAY6xQcuDlv2gS57F8hi9CJa1ibyIEnjwrlhLKEyTGMy9eOzqki2d4OV4xC2L/72UNQjB/GW6tGbtm9/8ZkoEk8tFDn1vHVoTadfeOli1u87SSy9drLXWWim09Itf/GJa72n9YVn6Kb9czrR8rtP31tpeOZOB95hjjkmz17LaWqNK/6o62Al/Hui65dTFv52edTo/9KgTOvFbIBAIzAYCj370o1NyNYZVOQrGtY2rnsUIpHwGkrBZh8/L6NlncjQkEAgEAoHZREC+CXxA0k3OGRNXz3jGM5LTpmoLDqJeI0EQkS3hlkhYORwzE7OqIey4HJ7pGIO4bSZ8lqBGYhBbUBjEGcyEQe2BYNZQSAlvnYQ2+Rq5zDKotqYQ7ul4YSaSs/z4xz9Oax95fpRl/Zdzvar1bFd2/t7xPvN8Pv/5z0/hLKeffnrKeOo6Ziw9pCQ+0Y7yeWVlyHXP5XVqbx2syhiUP1sLKbQUKUBa1FvIYln6Kb9czrh8ztjn90711j/5OO+kTt8LP/7Rj36U9M559FDok9kjekiXvdw7nfBvUk5dXWt3X3XCIfSoPTp0xNjmVRXfGbPKr9zv+l6fjatotzaUx/92bckY5Xuo3XGj9L066x/vvUq+J+uc3+TYOuUN85i62OSxc1B1yev5hWlVxYSzSVlbOeX8AcihZHcm2uQLGEWpc29kvKv1b/d99bhe/69Tt17Lbnpenbq0w6Pd903r0O74OnVrd+6wv89t996r1BmblF/3edBrPXo9rwkGgx6zOKyMPRIhysEi3JQ9LrLP+6BlTmMvGbcGYAOxEDrrAXzm/TMQZzKGiPkMDCKRi/MYydg0oJAo68AA5Tfn520tnGOQR8JkmrSPIUEADfZePI0ydErGgvRYPyhxDQ8Z8mnW0HGMcyzew0IcsM8UBoH0UFEX1/fw0Q7tYsQpWxZHxzL2lYP0+azOsqCaqbRNhtBYoS7C8bR51VVXTTOY6q78bnhY59Wqvb5DKrphlcBp88eWF+oKLwlYqtJv+dXyRvV/faqtdNEkAV1EzqxPQfosHi4LTzD9oa/0HFnTl8KJu/U9r61JCjpFF80Y0Q1l0VM6KOzA1iqd8KcXBpdu5Tiu7r2XCW75vqJnvISdJPRoYXQQQGOCsYFe5GRZjqRj+pmOlcXYIduxsdSDl/4Zm8ZF3Bfa7J7Ikx0mHeg4DDwQszjWfeblMwPCGA4DejiMB2S+dq/vxntjhXHeuwlME5V1xfnufeOtz/BwvuebV1maHFs+b64+18GGTnuewkD/6nfjl4lb4fTDEtc0QWt8LRNI16anxvJRkib3hrpby+7e8RwhbBeS77v0z4D+NKnbgC7ZtpgmdZlmnKoA1rlXq+eU/687Numfus+Dcvmz8bkuBsMcs9hVxj65QGylhtO43vrrrz8UCOaUIDKE7CHIG+Uhb3Bi4Frfhkx5qBrAGKwMaiRMJyFd9pYzwNm43oPSw8Om3YxkxE155Q3Egcody0BmTDNiZTu1LxxCyKjyQGB0I5oeDK7Nlat+OsPaRslwbF/BeLN1hQe3F2H0erAog8GCIFrUrs4GZO3x2cAjZEW9GdbKQmbf9ra3JaPItbzsnffqV7+6sGdjNjLq4AHHVu3dcccdU7u7YdVJ09QJBvpDH1UFrv2UXy1vVP9n0FqPQtfoCP3RlyYVEOcqQeT1kamWrljD4nfHI//d+p6eyyBrixR7f1p3aHuWnXbaKRlLktYoWzmd8KcTdcpBMuree7Zeqd5X9KybhB4tiBByaLygU8YjelQWExHHHnvs/L1f82/C3jw0jDvGUjpg/EKyRl202XhsvDfTajw0xiPBSK9EY3n/UMfCwHoL95D20VFk0QSKcbKK2Vy2PxsJnmdeX/7yl5MRLhMxklhHYGISyf6zcJFcynp67dfn+t5YS5ocW+fawzymCTbab0KXfsONzQALNoHnYiaJ2u8Z2c0DnbP+lSceWrWVoao8x5fvJefRxXLm6Fbnz+Z3Te8Nz5CDDjoojTOLL754mnTQVjpl7K7mQOinLU3r1s+1up3btC7TilMZxyb3avm88ue6Y5P+qfs8KJc/7M9NMRjmmMW+QwY9+y688MLiypmlR9tss838iZ5BYzGnBNFAJP6/3eJKxiwjoSq8fGXRgdZlUTCGu0HcgwPJy+LBypjlmfMQyRl/lLXvvvvmwxZ697sNyoWrelA4z/kShZQfHPY9rMrb3/72wqsqkr20EgvfEUcPQQ8oxNGMJUESYFEHj1x2q/bOmzevWHvttTtilc9v9e6BueGGGyaDpNVDtt/yW11zFL9D/CWK8aoj9JGOerWSTn3veGT8Pe95TzJM8uSF7+kLXUEq9Ec3/OuWwwCrq2ut9EzdOkno0YPo5AkkCTGQePdXeWzhsfDgtE7505/+9IMnznxCihAH7/TAnqkeyELBW92fC5w8x/8gOhdccEEiPMZJ9xTD+7Of/WyaITX27b///qkdHrqiK4yJe+65ZyJGZpo/85nPFIcffnjy6tgnt+ztmcvm6QN9htz5zCOvPfq6rph8knRNO/fZZ59EiiRf02aTjO67nICtybF1rz+s4+piI1LGpOy3vvWtpAcIDPyunDGKEG76zTjy7lh4I+OdhM1hIrfqfa2eo0zjLJuiLK7vlYl5+be5+tz03tA2Xmj9kCezTZab+OaRGKQ0rdsgr10tq2ldphWnMm5179XyOdXPdcemJs+D6jWG+X8TDIY9Zpkk5Txab7310th31llnFV7GqTe/+c3zec2g8JhTgjioRriRiQEdw+4kDIimRgTvUDlsi3E7LNEWRtCgpNreJli1q4P2t8NgEOW3u+6kf9+t7xmDVcPGg74cslYH/zrlNMW6qmd1zg89egAlE0K8JLzyvMJlcugIRpwQdbP9Qt5NUuV+zjj7n+dQtIN1zPbDzN63fMyovQuft6RA5AYvOIJIj4zheQ0Y0mvs5VW88cYbk6fQdzBCpuFxyimnJM+iiUaex1EQui103Ev0CIKof+uKSQFkX4ZNSddM2BCTk4imtjNc3MtNjq17/WEeVxcbuvGNb3wjTYBkrytihsQYBy+++OIUJeR5yUASpeFe6iQicLp5GZ1vTFUuwgnf/LxzLswH+YzuVN86vzW9N0wm8hSarER2jRV5wrzV9dxvdK2T3QR/LziVJ+ab1q3V9Qf1XdO6TCtOZbzr3qvlc8qfm4xNTZ4H5WsM+3MTDIY9ZslJwglmMlS9RFIef/zx6flo8lBE2iBlIgjiIAGJsgKBQCAQmC0ERD/wkDBehEpWw7sYZkKRzzjjjOQlFApmtp+RzNgtC6OWd4RRfeaZZyavU45AKB83Kp+FMudwdeH6hAFuFpaRWV7Ly9AQfss4FwWScUImnWuNGgI2KgSxX4yFEFlvrE+FsDPkiRDij3/842ndSZ5IaHJsv/WazfO1C7EWsl+eEEHOeNPdNyZOGEUI87yZ6JheJXsG8/kiPpByBFF4qwgeBEgkETJVzXqaz5uL96b3BpKNYGfS3a3O7qv7ZsLfRZ+0CuN2zzKM4UQ/y2Szad261aWf35vWZVpx6gfj6rlNxqYmz4PqdUbl/2GPWSZrPPuQQ2JSVSQJO4JtMGgJgjhoRKO8QCAQCARqIoDY8BQJw5G2uioeCAwVRrH10jxKworf8Y53pFBxhKksvIxmvoU2Il91jcByGbP1mSFpLW0WRjpCIFSQocngz94Ia8utweUVzevOnOehiFAiwp08HPka4/Kur60rzvvyCS2CDzy0v4xBk2PHpf0mRhAT90V1koNHGWETZguXXmfN3Vu8FsiP8Da6xFvv/kE4eeSFJZqgcT3HePleWPeoSC/3hrbCD2nKXlGTLdVJJ22EE8+F0DYhvWWS6FxRC+edd14ihrApSy91K58/yM+91GUacRok5k3GpibPg0HWcVBlzcaYhRyKtjFOmeRxTRMzxqNBh4fDZUHrYlBIRTmBQCAQCAQCXREw0AudzJ6w6glIj7VBFqbzoJ122mlpLZ49MZec2Si36sngWUGiJHNBMEaZIOa2esgx1Bnj1pfx0rzlLW9J6yzyMYw7r7Lw6OQZW+s2q1iUjx23z/DwYqDqd0YAkaBNEjIJ2MwekybHphPG4A9SgvgjxdlTmquNJJtBt15VuFWvIoyZB1JyJ+Up131jciKHL6sH775jeBPdp5IDVSdmeq3DIM5rem+4bxBvk00wNknlHbnjrS57ANXPGGIix1on4euZJJbJIWPVmnXkuixN61Y+d9Cfm9ZlWnEaJO69jE11ngeDrOOgypqNMUteFvgYp3hcTfC4d41Z/h+0BEEcNKJRXiAQCAQCNRFgnDH6hUmW15KWT+dBZLDa21UIJSNMwhaexyopYujyNnpYMQLHQdTVTLM1ZTJUmgn1sGOAVr1H5fbwNgozRJS33HLLtJaq/Pu4fs4GkuQ0iCHSv8UWW6TmWKtqcoDh9cY3vjERG5/rHFteRz/q2Oh7xg8ilsOpynVGHPMx5e+bfHafCOv2aiV0Tzg34oQcCrGkl6NEDlvV23ed7o28zlckAs8DnCX9Ofroo1MYrbWJ5ZBe5S2zzDJp/a/QdZNU7jfrPe3HhhxaJ1v2ajunnXSqW7tzhvV9p7oETv2h3mQcK49NvT4P+qtt/2fn8WiYY5bxZ+utt07rrUVYuE959KuTaP235oESHsjuMqjSopxAIBAIBAKB2ggw7pHEVqFdrQpBhmwrwngRItZKGLY8Tx4gDOlRF20xM/re97437QHLaBNCK808Y6GV8BwhSxLAIEo8iJMi1pPk9W6MjXKyIRMJJgiQaeGVTY4dR3xMjlTJCsMTPnR72Prt+ogPgiR8exzIYbd7Q+KkPfbYY36YLONS+2B57rnnzvdWV/XFMVtttVUihkcccUTyJgq9bUIOu9Wtes1h/t+tLoFTf+j3Ojb18jzor6aDPXs2xiyTySasrJMeFjmEShDEwepGlBYIBAKBQG0EEDmhcq28JO0KEQLWadaQEcuIZgAN24BuV8e635eNfA9WDz2GmbC+z33ucymEtFqW0MDrrrsurX3afvvt04zqOBju1Xa0+58u6GMvGSa9svDWSN4jHFd4ZJNjcxnj8G6Sg6GYjcxync3Uu2/yMeXfpv1zt3uDt9C44L0sJh14VIW8SzjTThiktumyl7S1m9LtO6+OdKtbnTIGdUy3ugRO/SPdy9jUy/Og/5oOpoQ8Hk3SmBUEcTC6EaUEAoFAINAYATPwjP6qwdapIISSxzFvfVA9lneF10W5Ve9L9di5/F9oLaJn0T1Cm8XaOl4zyWqEkJYFMbC28rbbbkvZ26zPZIgw+KxdnBShF9Ya6sMy+UWirZXT3rylQ5NjxwUfxhaCrK36vCy8yr4zi143rLF8/qR+rnNv8Dofd9xxxaWXXrrAPWecgLWxJetVFSe4S0jj3rO9zJIz0Qy8+CYruk1E1alb9XrD+r9OXQKnwaDfZGzq5XkwmFoOppRJHLOCIA5GN6KUQCAQCAQaI8AbJDMZg9/MYzexIN2+gWbtqxkD87nIpocVgjGqwqC0jQMPoHA1RlsWniPkANHlLcqS16bccccdyUC1VioTCGQS0RxH0e/aWe5/a04lRLG3X5k8wwQO8LE2kTQ5dlzwQVgWW2yxtOaPx6ss9Nv9Qr/HIQlTue7D+lz33rBX2kknnZQykpbvrYwpvcpbyJTrqnwea2sOeRsPPvjgtGcr/bQmsRNJrFu38vWG9bluXaYdp17xr45ldcemXp4HvdZxWOdN4pgVBHFY2hLlBgKziADDkSHVbvZ3FqsSl2qAACNfuKh+sx4xC8NLqJcXY5h4l3lQwgybwgvHrAqjjyeNd2WUUvFX68kgyES27AXyvTWZthOw5isTAPqNAF500UWJOCIHvBnIIi+kd57EURRGE5KXX+U6aq9QPWsKtSeLRD32/5N8xsx6FjoicQ3vcU5r3uTYXM6ovHfCRhv1P30vTyDQDzhod6t7YFTaNlv1aHJvGG9kJJXwKicG0QfWM//6179OaxF5BstiTCmTQ2sOkURZQXPCjFNPPbUlSWxSt/I1h/G5SV2mGad22He6V53TaiyrOzY1fR60q+Owv++GwaSNWZHFdNgaFeUHAkNEwIwoAxKR8BBnVHv4h4wHAoiOzKSIn0yeq6yySqq4RC2yVcpEyqBjjCEG1uY5vl1SFkYeD6Pspu08jKOAjNlW+z7utttuqW0mNxhwiLJ95/y+6aabpvVO6gsPoXGIlExuZ/x/9u48WrKqPB//8WcGCRijJiLI0IgMAgqIIDPIJArYyNg0QZAFajcyBHDZQRQDrKCkExphMS6GZmoGkUEGmbsZbRBBUEGMyLSIWTEOy6h/JLp+97N19/f0oYZz7q3qW7fqfdeqW3Wrztln7+fss/f77HfYX/taakYmlJLc2ApkkASRkSjIs+k+IjXcYwnLMVdapJEl9ZRTTikOOeSQZJnhRqqN2mNrgQcffDAlJnIe9z44sZ5mgtjkWGUMgtTBxlhmH0h7etqHT9ZNeNlywn3fddddE1EZhPZMZh2aPBv6TF50QAqRRGPG448/niyyH/vYx1LfLLfHcQvHtp9hXczkMP+eSaLsprfffnuyKpYTbjWpWy6zX+9N6jLKOFXxr/OsOqfVWFZ3bDLmNZkPqnXs9/91MRi2MSsIYr97VpQfCPQRAS6HyAUywZJy5JFHDhVBtGJHEIZhFC440uzLxon8sRppK6sa6wlXJy5cViaRPnuwrbfeei2hyCu4SBYLY7a+tTx4AL6U7ALZQQBYPREmShyCizjaby1naLP9BTc2CVtyn8hN4G4LG1gOktijkdJMIWfRpTg//PDDaSsP91l7ucius846KTukuC6KEvFuTzpWVoSIy7B2i43SByjy4zl2UPCpgw1XY/s96tdwI/CQSMX2E+0WSQaljcuqHk2eDQr7hhtumPCUJZgl0Bhjgebwww9PuFbrzXPBopQ+6/iqIIligY1h5qMyQWxSt2q5vf6/SV1GGacq7nWeVee0G8vqjmNN5oNqHfv9f10Mhm3Met3Y4NsyD7pVSxOT1WusOCQQGHQEKA6UTa51squNilAcZXw84YQTilmzZhWnnnrqUDQdabByZ+W6bqa8Xjfc3mAsWuecc06vi15SnnbagJoF8Ygjjkgup/lHrnVIFIKRCUH+rfpOyVOOyUw55eyX1WOb/I+42qzdBE5J7LVQKj27rGwmWMSWZbVbe3tdj1bl3Xnnncl99dBDD22pHLc6p5ffWZVnwWGFhAfLhvvaCpsmx9apo0UnOkA/+36deuj/3EyRY27EMBi0xYA67ahzjPEG5ueee26dw8d9DBd2z5y+JebQApRxdqpI4NT9TlmYMn6RAw44oPsJfTyiydjUz/lgWY1pU2XMuu+++5JXi/4h5r0qYUGsIhL/BwJTDAEWJ65COaZkilW/ZXVZCixSIWcWqSaLILasXI+/lKmSVcgKrDazmuT21r2nFD5uYqyHXO96RQ573NSWxcl09973vje9Wh4wwl/qE2JUvbpJk2O7lTVIv8viWheDQar3INfFghMX9EF2Qx8E/AKn3tyFJmPTMMwHwzJmDT1BpGiK3bEqYdWVMsZNgiJlxZ24mWJCfE/RkiCBYZWbl+98tsqfg+UpbVbdshKXHyGrBo7zcl0PheNck/jdNVkFPASCv/n/K19QtFfVlU59rARJP81SpCzHZcVRGWJbXM8KoGOsCnp3bceWV5u5i2if4zOx0Eb1CWmOgPsCT/eUa02+h/qcPgZj/SSveDe5X+PpL9UW9KrvKrdb3+nW/5VRp/36pu0NxJzBlktU7vcsTMMorN5cTbkLs9htuummS9wru7UX7ty7uGeK2fIKCQQCgUAgEAgEAoFAYLwIDD1BRAwlAZDcgAIvNmfzzTdPbhy33nprIl/866dPn57IIIVUAgQKPr96K2wSDdgYlq8+8iUxiIB5iQL4qhNEQSa9nGpd4hDkj1sWiwDXGL/de++9qWzlInZctxBACqGMYOuuu24iFQgeQkpRluWO0ux4MTkUZkogUie9u8x+ypCogbJojyN13mGHHYqZM2cuMR0jro899liyyohp0Q4EwnlbbbXVePvQSJ+nn+hbLD8y6gniR9Qlk8h7REkaw4TvHta9X8hYk/7S6iboQ73ouxYQuvWdbv1fGXXbzx1FH5YYAeHmBmFhRR8d5Mycre5Bk+/WWGON9Ex77i0uWOCpIxYnPM8f/OAHIxygDmBxTCAQCAQCgUAgEAh0RGA4Mz+UmsxyYz8l/vYIHEWV+xWCxgonUJsFUQYl4jfWCkqXxAeUtRtuuCERNa5uArkdf/rppxeXXXZZIobOEz80d+7c5PMt+x6i4Lh58+al5CGI5y233FKcffbZKTMd5VfMDd9/RE2cx5lnnpkIqPIcb7+iK6+8MhHCY445pjjooINSxsqTTz65kDWM8o9gLliwoLjpppuKRYsWpe8EjbM8zp8/P7VPeUQGPemoEZjZs2enZCYIpdiOkPEhwPUJMRQjJJECIsNiiMxIQnHbbbelhQWlU/rr3q+m/aVV7XvVd5Xdre906//KqNt+z6zAdm6Hnl2LN1PNbVJ7xyNIobGoLjl0DQtF4rIiVnw8iMc5gUAgEAgEAoFAIFBFYOgJogZTuCQtoXRT5FnNKPYsZ0ii7FYsjYSFkEsmBZ8720MPPZRIrcobWQAAQABJREFUFhJglZ4Fj8WRlQMhUx5h3UP0HIeEclmdNrafECsiYkp5o+hK8qAMMUeI3he+8IX0UqZrKZPlB5FgyVRPFk+uipI37L///ongIYUIJivhJptsks6hUEtOcdRRRyWLFetWeW8tbeOKhhQikMpj3cxW0NSQ+NMYAQsK2YU0n6zv6APZFdj3lP6696tJf8nXLL/rn73qu8rt1ne69X9l1G2/5wymnhOfuXoj3YO6z522hQQCgUAgEAgEAoFAIDAsCAy9i6kbxU1NCnGEi4sl11FWNEq8IGQkioWE2yZrGvLECsga5Htugb7PGxYjmiyQsv5kYun/k046KRECyrKX48Rccb8jLIpZ4ZWljyCjiB33sDPOOCO5FSrTdbmNIpzOy+J/7qiXXnppslhJBa/MbBkV90iQE5+lhkeIXScnrmCZ1G6pwrm1sWKG9B4BmHuVJfeBOvcrH4sgdeov5fLz51733W59p07/V7fcpm7tz+2I90AgEAgEAoFAIBAIBAKBZYvA/2Mey/a6y/xq3C5tQo0MiusTx5fTqiN+LHaseCwlLBcsd0ghN04EasaMGa+xElF2854/FF7xUSx0YscQxBfGYgdZAxG0ToKsup7jxHpR7tVJParJY5AFFj8kknWynbA4Iif5+j6Lb9xjjz2Ks846K22JIB6T26o4yZDJRaDV/WpXo2p/aXVc3ti1V323W9+ZSP9X/2r7W7UpvgsEAoFAIBAIBAKBQCAQ6D8CI0MQV1999eRSyu3OhuIIExJnfyuWRaTRBtTcMrmeEkk1JAsRj8hlrxoXxKUUASMI3Y033piS37A+cgV1DQlk6gj3uZw1NR+PBLIilsVxLJ/Z/a78W7fPykd0WRdZEcVESrwzZ86c5GqK8IZMDQRa9ZdyzXvdd7v1Hf10Iv2/XPf4HAgEAoFAIBAIBAKBQCAweQiMRAwieMWCiUWU9EJiGiQRyZJ4BiHkRoooIoPc5QhLDfdUCW4WL16cCGP6YewPcuh7MYjI48KxpDM24WTdk91U2SyC3ayHyhMTKIEHayGXT8q4GDTkVOp6yn4WLqu+V6+mrqGUeOfKqMmKKJHOC2NWziuuuCK5w+ZrxHszBFi/vCwW6AtZ/J8tuPm7XrxX+0urMnvddzv1HVb3ifT/VvW3uOLl+cmLMK2Oi+8CgUAgEAgEAoFAIBAIBHqLwMgQRLDJ9LflllumLSskjvFZpklbVog7fPbZZxNBy4lFWNqcw5XzuuuuK+6///5E2F555ZVEGG1tQHFGKl988cUU74cgIHvOkUUSufO7F3JHkEv/Z+HqimxycRUHmTdnZfW0XUI10QzSKG4Rsc2kpEpG1QORKCvY9lez5YdzJKiRkdUWDNxatSNkfAgg9pLUcOuU8Mj9d4/Ef7r/LME5DrXJ/cq16dZf3ON8vzNB7XXffeKJJ9r2HW7Ydft/3fZbYPEcwA6unhfPaEggEAgEAoFAIBAIBAKBQH8RGCmfQkllZPycNpZdFEESh0jEV4lPROCye6nvxRcikTJ92r+QKyYC53vuqbKLenHNFEMoWQwCJqGIY5A+iWKQUfsoUuQJMkbhVh+/2xwbqdh7771TUhrHSETD/fXaa69N22woG3FVDmVZoh3bcLBsIiIUaaREvYj4Se6yiKp6sDYirEgtCylLqt9li8zbCaQT409jBNx7SZDce9uSsKi5n+67e2YBwDYQ7lcmjnXuV65Ip/7C0qxM91jsKrKmP3CH7mXfZSl//PHHW/YdfYsFvlv/d1zd9meC+93vfjftJwkLz8s666yTYYn3QCAQCAQCgUAgEAgEAoE+IPD6L41Jq3JZQii6FDIJKIZBuKxxBUTgEEFEkbAAieny/XbbbZe+y38opdw+WWYQKsq+MriR2rYCEfS/95w1lBKMgG6//faJFCJm0vQjZcggJd41kbhM5CSM8VIWEWcIe5YpcYKslq6NANoqAWlFCBBGiXFYW3LyEsdwoVUf51O2WSMdzyLpd5YtFlP1QEzVbaoLSxNLlv7a1P12Im3Xd1i8kD5Eyb1CupF8v7EMS2DkGAsDde8XkskdulN/cU194Mknn0x9gOsxF2X91j3vVd9FgrWtVd9BUuv0f8+b/len/Sz3yDUsXxhzg9a3LcZ4LpalIMWeX5b2URXx1e6DTLajtiWO8dkiGy+T7FkyKv1A36cDjHLfX9b3OmNOvwhpj0Dg1B6b/AuvJeMXyWFT+bdRfc/9Jsa0P/YAuhX9Rv/AIaoyUhZEjbdNBMW5nJCF0mkj7uyeVwYJyWJ1pCBQ2Ln7IXusJWVR7oknnphcCZ1DYSbOcw7SgpARRFT2UDGRronAZWKYDvjTH+fYxmLPPfdMbqAIrmt7J8iAcryqkq2j5e8RVgSY6ymy6JrIhPqGTAwBeM+dOzfdJ0QQoWGRlrDI/1ma3K98Tqf+4v5RJtopFL3qu+oiA267vlOn/+tviHvd/mohhMUejvAMCQQCgUAgEAgEAoFAIBDoPwIjRxCRoVaEqKzEt4KdcoucdRKkk8tmWbDyVsxcHSj3dYQVComcqGQS6tosTCG9RYCFoWxlcN96JU36S/Wavey7nfpOk/5frWO7/y3eLGurYbu6xPeBQCAQCAQCgUAgEAiMAgIjlaRmsm9oTjbCCuNzSCDQCYHoL53Qid8CgUAgEAgEAoFAIBAIBPqBQBDEfqDaokyxYvx9vbPoiJX72c9+llz2WhweX404AtFfRrwDRPMDgUAgEAgEAoFAIBCYJARGzsV0knAuJHqQRGWnnXZKMYQykUr6IXatHA85WfWL6w4WAtFfBut+RG0CgUAgEAgEAoFAIBAYFQSCIC6jOy05x7LMrLmMmhWX6RMC0V/6BGwUGwgEAoFAIBAIBAKBQCDQEYG2BJEbpK0QbHcR8XIdMYwfBwQB+//ZhkHCIfsOhgQCE0WA1V+68FHuT/m5yvt5ThTTqXQ+S/6vf/3rtDWLLYFGSWzrxNNllPv+sr7fxpvAvDvqgVN3jGSq9wyTeIb/iFeMaX/EIf+1xUXenz1/V35/3diPf9y9vfzt2Gd7q910000p42dkEayAE/8OJAK//e1vC5vK66+2AAkJBCaKwDPPPJP61NZbbz3Roqbs+QgShcxWI90yOU/ZRrapuD0Qtd9en6MWChB9v02n6OPXgXk9cAOn7jgx7Bi/iH2MQ4oi+s3SvUAelLyN2t/93d8t/ePYf20tiDJt2lrBPn6tTnxNSfFFIDDJCNjU+fvf/34ih632gZzk6sXlpyACxkHSbp/JKdikxlWWUMsertye11prrcbnT+UTnnjiieRFs/POOy/Z23Yqt6dJ3aPvN0GrN8fa89Wa/SiPN3WQDJy6o2TfbuMXsf91SLEkKWQ8X3/sDU899dQSK3Or/tGRINrHjVJg9TQkEBh0BFgOX3755WLFFVcs1l9//UGvbtRvCiDw4IMPFlwsR7k/UVi5l66yyiojh4N7bxV+7bXXLt70pjdNgR7buyo+9NBDI9/3e4dmvZJivAmc6iHQ/SjeVDLnk1GevxIAf/oTY1oZjSIlzxRG0caRtIhtLpbGK/4LBAKBQCAQCAQCgUAgEAgEAoFAYGQRaGtB7DciGOvvf//7tsy1fP3Xve51ae9AiXMGSbg5/OEPf0hJUQapXq3q8pvf/CYl2xBH9Bd/8RetDonvAoFAIBAIBAKBQCAQCAQCgUBgxBGYNIKIsHAH5LokCcDrX//6lFwkkxcEEgGT0Wv55Zcv1llnnWLllVcemNulfjJDcT/6wAc+MNAkUTbaRx55pPjud79biKV573vfOzA4RkUCgUAgEAgEAoFAIBAIBAKBQGBwEJg0gijjpIQil112WXHrrbcm8idToDgXwrqIOCJhLIizZs0q9t1334FBTt2+8Y1vFIsXLy5OPvnkgfbx/p//+Z/iO9/5Tqrv29/+9iCIA9OLoiKBQCAQCAQCgUAgEAgEAoHAYCEwaQTxbW97W7H33nunfevuuuuu4j3veU/x+c9/vthggw2WQkha2ptvvjm5ci71wyT/89xzzxUPPPBA8b3vfa+47777inXXXTdZQSe5Wi0v/+Y3v7n4yEc+Urz73e8u3ve+97U8Jr4MBAKBQCAQCAQCgUAgEAgEAoFAYFKD+lgGbWruJb6wVYzhu971rmKnnXZKmSkH5XbZX+aHP/xhIf0765zMSP/xH/8xKNV7TT3ginjvsccesR/Oa9CJLwKBQCAQCAQCgUAgEAgEAoFAICMwaRbEXIFO72IQuaKKP1xhhRVSkhUbO4pL/Ku/+qu03x3y8/Of/7yw54vPNnJ+61vfmorlpur73/3ud+l4sXi//OUv0/6OE9nbETG05x7iiig+/fTTxf33318ccMAByR223CZ7SamDmMs3vvGNabPl//zP/0xtYNlTD0RZvbRN0hvf2ejd91nEPHJrzee+4Q1vSMfljas7tVVZcLTZNTJebbvfXNu7rU2UKaV7eWNo7XB9LziKGVWONhH3Shv8JhGOdsCoXXtyu+I9EAgEAoFAIBAIBAKBQCAQCAQGB4GBJogIhsQqktNwjUQE77jjjsJeQSyLH//4xxMZQdC4qdqzarfddktEDdn50Y9+lIib/WC4sP7kJz8pvvWtbxW77LJLcdhhh7W0WHa7NYgYt9df/epXxcEHH1zcfvvtKQEMd1NunJmwKYel8fnnny/uueeedO1NNtmkQAodK7bSptPTp09P5Pfxxx9P5UjaY1PTmTNnFtxwCZLFQvntb3+7+MEPfpCIl7I33njjtKGua7Zr6wc/+MGEyaOPPpriJeF44IEHpnKRTkl2YPzjH/84WUORaWR8m222KWw2jzD6TrwoMkzsm+K8jTbaqPjQhz5UIKtcbr/5zW8WsJa0B6G8++67U7132GGHpdqTCok/gUAgEAgEAoFAIBAIBAKBQCAwcAgMDEFkfUL0uGwiLoiYxCqIy3777ZeAe8c73pGI4SWXXJJICnK12mqrFVtttVXx1FNPFRdeeGGxxhprpGMRlVtuuaW46KKLEuFRLlLF+shapvxWLq3d7pByWRDf8pa3JAKFLLnmE088kcjnrrvuuqQI1rYnn3yyuPbaa4uXXnopkUqkSiygOlx11VXFC2MbmSJjsrcikI67+OKLk3UuEzlWwxtuuCGRMljA5/zzzy9OP/30RJr32muvtm1V18ceeyzhAM9sXVVJFsUbb7wxEV5kW3ZTiXdOPPHEAmE97bTTilVXXTWR2blz5ybr47x58xJhPfPMMwufWQvVG/FesGBBIpMwfuc735naiQjPnz8/lSPmNCQQCAQCgUAgEAgEAoFAIBAIBAYXgYEhiIjM1VdfnVwbwcUlEzlECsvCpRHJYaHKstxyyyXCxpKVBbH56Ec/mogjgsRax2qItCGHLGNNBTFjwUMSd99993Q6ssfiJxvrokWL0mf1IerJesZChwgiYLNnz06uoyuttFIij9qInLFqEi6gCJrrEHUV48jq6Jp5G5D1118/kULXZLns1FbuokgmEptFuba+YI0Vm8gaSVhaEW8WUveAIO/ItWsqi+vrtGnTEmFlWUSKtZOVkqutdrKuOo418pRTTkkkNBUWfwKBQCAQCAQCgUAgEAgEAoFAYGARGBiCiJh88YtfTNlAoSWWDSniVllHkJFyzJ5zkECEC8nMWUbLLqC5XC6ciCNSVBb7L7IU5nK5rSJurH+IEmufc1kxkUdEVFbTTTfddEkx6oDUiZl07VyW87mQit3LrqROQi7F9+W6eGcd5cKJTLJYEnWAmXNZR9WzU1vVoWwxdQ6LIrK73nrrpTL9Yfk7/vjjEyHM9XKdk046KbmSIoterq/u3E+JeEXX0C5baWgDUS+fuf/CKLc//Rh/AoFAIBAIBAKBQCAQCAQCgUBgoBAYGIKIvCA42frmfcstt0zJWnIilPEip+wyOaqWwyWSlU58Y1nE0tl7MVsbkTQWM5Y1rphZkB8kFHm05QU30nxOPqb6jjQhVUhWWdQTkWIh9c4NVPwh4jZjxoylXESdpwzkU3wl6dbWdNDYH/Gc6o3UlS2vCJw4ybIgfSyyriEOEUF8YcwiihyrYydRH2XmY4MgdkIrfgsEAoFAIBAIBAKBQCAQCAQmF4GBIYitYGB92myzzRK5YPFCMvohSA7roMQrZXHNTIC4WCKALJsS4ZRJlRhE31966aUpFo+7rCQ6vRDlqhsSyy20moFUvcaDi/K0j4WSVXLNNddcqrqupe0IqN/FKoqn5M66//77J9InKU1IIBAIBAKBQCAQCAQCgUAgEAgMDwIDTRBZm7K7pTg+VkVWRlYppAiJyeJ/r0zo8vft3vNxrsGVdJ999kmvdse//PLLyYImCyirYlW4j0rsItHOwoULk8VPPScqksDYpoI76OLFixPxhAFBDmVJZYXsZrGs1oNVcMUVV0yEVtnalctFHpFC2HMX1Z4LLrig2HPPPVMcJMzglzGslh3/BwKBQCAQCAQCgUAgEAgEAoHA1ERg4gxmAu1GMJC8bK2qWsL8z8XyzjvvTNtYIEGSnkj+4nsxgPYYRN64S7K2sYrluDjn5/LLSW0cZ1sImTdzTF+nZiBiYiFdg0WzldircYsttkgZTiVqkRSG5OtXCVW7uuXvHe8zK+raa6+drJvXXXddSgKjva+88koijJLMiCPM57leua3qkMvym+OIciXYgZcMqffee29yG2X9fPjhh1P8J1dSZNF32u58eLO0ah8c/e7ls9+r7cz1yXVIFx+CP9oDZ+S8/MoYtGuic1ht4RgSCAQCgUAgEAgEAoFAIBAIDBoCk2ZBROLs+YeoZYuVLJjcKVmoEBnkRYKW66+/vkDAuG0iiaxd9ha88sor056AlG2xgdw+lWlrhWljWTYRG3spSqjy7LPPpm0pWM4QnPPOOy+Rojlz5qTYvnY3Ju8BeNttty1xQfVdjpV0Xo4jZIlEECSr+drXvpaygbo2IqtdSJbYP3F/L4zF8CGn2q5u2oZ0qLP25O00VllllRSLab9BJE59EVFxhwjc5ptvnpLVwK5VW9XHdRBK9RbPiNwhiGI8WQW5jx533HHp/9wG+ydKXuN88ZXqDHPZV12b5ZKFEe4IpSQ/2ueeIbDqRiTW0WaYO0csJbfVqS6whKmX+wUL/Y8VVh+FF4xZYPUViwzug/7ufktsxFU5JBAIBAKBQCAQCAQCgUAgEBgkBCZNU2cBlBgGYdl2220TKZT4BdlAICjUSAblW9IUex0id2TrrbdO2ybYtsFeh7ZpsD8gN0/xgJlwIorOobhT5BEUGTkp8yuvvHKyoOUy290UdUD4vDsWYUWSyttvIAuStyBH22+/fXKB5WrKhRPBIsgWoqQOiAOC6HekUPIXxNBnJM+WExLzcKvVJttGHHvssSn+UJu9Vl999cL+h7aYgGW7tkqooxz1l3RHfWRaff/735/af/TRRyeLrC0vMlEVY7jjjjume+JeOO/QQw9NVkVxh7bUsEcjEqTd7pnYSMQRAXRPkWLtQYpYXVl+YQK7iSYdanevluX3+Z6LO0Ww9SfEnTuwPgt35ND98T0ckXiuurA+8sgjh4ogZst0L9yql+V9jGsFAoFAIBAIBAKBQCAQCCyNwKQRRAq1/f+8msqGG25Y2Lid1YrFRpweK54EKjmOTpmUcK+qIClHHHFEOqcbWXHsrFmz0qtaTv7f9VncvFrJAQcc8JqvWey8qiIDaiuxGT3iiHwgz4gjgkaQr3ZthQdLVTtrFTfTU089NWGJWCPj1XhG1k17MyJFyDUiSNRHXRBnxOBTn/pU+r78x70aRuHmbGGCpZcLtD0iP//5zycrtXvkuzPOOCNlxj3mmGOKww8/PFlrWVItOAyTeA4tUngO9MuQQCAQCAQCgUAgEAgEAoGpi8CkxiBOBDZWQVYrSilBasrksFvZ3P6cy511qggSRgG3P2Emh72oOwxgodwqOczls4Ah05kc+p47KkI5ylaj3O9gkHGAJUIu8RG329tvvz25lvpdv/UaFhF7Kg72qquuSu7dw9KuaEcgEAgEAoFAIBAIBAKjisCkWRBHFfBo92ggYAEC4UaqWdhYGjsJd1zHiQ9lyc0LIGWLnAQ3jvFCzFhzLZJUreDiXcW+OiaTUlZelmZSpxwWeW7JykB4uZByf/bumlxp/SYD7iWXXJKux1qsLn4rx+i6JkszF2t1JxYauFo7jmU619e1nK/e3dqRCoo/gUAgEAgEAoFAIBAIBAI9RSAIYk/hjMICgT8igBAhQ94RnnLMahUjpEvcpky59tpExJzHhXf33XdP8Y1IlIRAYj6J2E7uqlySJTDKsbSuyYVV3Ckrs3KQT3Gk4njrlIP4Pffcc4V4U8TWuUjl3Xffneq5ww47FDNnzkzxrL5bOLYNijbed999KUOr66y66qpLNVNMplhVZapDTpCEICKON998c7omN3HlO75TO5YqPP4JBAKBQCAQCAQCgUAgEOgZAlPWxbRnCERBgUAPEZAESAyiREIIEYuaJD2SCrUTVkNbjbDGSQAkXpFL7+mnn15cdtlliVBJQiTuVmwjEiV21zHz5s1LSW9y2ZIoXXPNNcnqN3v27OTqitzJJkvqlKP+toBZsGBBcdNNNxWLFi1KxFC8KuI2f/78lLBIHKaEUZIoybY7ffr0lJRHcp6qcEWWqAlhtQ0MEpqP847gcnVGirntdmtHtfz4PxAIBAKBQCAQCAQCgUCgNwgEQewNjlHKiCMgSQurnXg82XgvvvjilLEW2TvkkEPaxscilLL5PvDAA2mrE1Y/sbSS3vgNObM1BndP5ErCIGSKe+a0sa1cWBFZFrOwPsqKixQic2uttVayMEoKReqUw4WUFU9iJNZNBFBSp6OOOqqQcInF75lnnkkWSgRYfdUbCeQS2y6OVd133nnn5D4qYy4iSlgp1df2NdxySbd2pIPiTyAQCAQCgUAgEAgEAoFAzxEIF9OeQxoFjiICtlGx9yWSJL4OebNdiO1ExNW1k1/96lfJWsalk5WP6ygRk2dLFoTJ9ik+n3TSSSk2EcnzcoxYQS6bWbJV7vLLL09JhLbZZpu09YvtR0jdclgnkT5kVJniHQli6rPkO1xXm4gyxSlyWbXVCoupzL+smnBgGc3SrR35uHgPBAKBQCAQCAQCgUAgEOgtAkEQe4tnlDaiCCBep5xySiJgTSBgeRR/iMDNmDEj7UlZPh+pQjiRNXF9rIPiEBHEF8b20mThKxO1ddddN22/cdZZZxUnnHBC8eEPf7g46KCDUqyichG+OuWU61D+LHkMV9DqdcvHdPqsnWIUucaynG666aYp+6ly11xzzSWndmvHkgPjQyAQCAQCPUDAmMaTwfjGC8L/vDb83yRDeg+qEkUEAoFAINASAfqeEB3JDOmFEhrSn/ohQRD7gWqUGQjURMCDLlunh51LKffOslBQKCosizfeeGPx5JNPJksb6yTFRdKXsrBgIposfayIt9xyS0p8M2fOnORqyp2zTjnlMnv5GdmVWEfM4uOPP55IosQ6G2ywwVKDXLd2IM4hgUAgEAj0CgGeGpKEcds3/hh7KWNc4zvFkPfq+lFOIBAIBAKdEKAvGp+E4AjRoRtKEGhxvZrNvlM5dX/rD+2se/U4LhAYcQTytg7PP/98sXjx4rQylCGhoPhevN/CsUyhF1xwQcpoKrOpFW3KS9l66DwEEOEUK8iKKJkNS+MVV1yRBpW65eQ6dHtHUr3Uw2BVR9ZZZ51i2223Ta6lV155ZYqVFH9Ylk7t4FobEggEAoFALxGgeAkT+NznPld89rOfLf75n/85JdSqjrG9vGaUFQgEAoFAXQR4kDEKvPTSS0kHlPn+X/7lX4p77703hRvVLafucbEMXxepOC4QaIEAqx+3pPze4pAlX1E08nHeCUvf2muvXSBK1113XXL/5F6JdGV3UglmXnzxxRT35zwrR8ij7KfZ1YAFUmyg2D7nIYYS1EiSw41VjCRX1rrlIHuupc5lBSnX33eOQVSXX375RD5dJ1tCfddOxFVyLZUhFfndddddk+tr+fhO7UAec4xi+Zz4HAgEAoHARBDg3SBcgAXRqjzrYbiXTgTRODcQCAR6hQAPMgv+++67b9KZeJzJXyFzvXwXnbZTG08dhoYgStaRFdY6QDieok2htRcbS04/3daa1q9OG/p5jAyYkp/AhZ9zyNII6DcImsQycLL6jNQgc0hfNZMnQsctgEVQQhZkTaIXD7g9Ae1laBWIK+gWW2yR4g7FGW6++ebJ2oZ8uQ/33HNPsdJKK6XflYUUymJqJck2FOokkyolhxunjKNcD2QiFf9nMOlWjuNefvnlVD9uVz6rC9FeZWqv62eCK4PrXXfdlY5BAFkJO4ktL7SbNdDAVpVO7dCuYZW8iKB91fHIQoQFgbK4/17Ee79iEcrX7Mfn3G4LI7k93a5jvHde3eO7ldfP39XTK1vcm16r0/l+M76QYSAzndpaxS0vYlWflepxdf83dk0bSzC2wgorvOb5q1vGZB4HO+MEqc5B1Xo5Fn5NnrlqGU3+X9bX61S3OnVxjFd1TG33fafrNfmtTt2alNfLY8fzvLXDq9336psx8N6tH/eyfXXKyvWuM5aPB69OdcAj6I/0I/kk6I9yStgzmo4YBLEFem6YTIiUVhkSu02SYp4ot5g4iwpFY/vtt08ZFt30XkvT+vX6+k3Lo4Q+8sgjadsG2xIgFyFLI+AhtVfgq6++mvYCFCiMJHlAEZ7qoIZw29sPIZKkxe+ORwDhe+yxx6aH3f6JXmJe9tprr2Rdo6zo14ceemjaDoOLgf0SDzzwwET2JK1RtnIoOPqwDewRRvVDqBBQ+xbWKSdbLMULIovILJcG/VgspH0d1enpp59O22HIRIp4IqmuP3PmzKXBavGf9u2xxx6pbKv0VenUDgPjMArFjnXUwpWB35YhWSxCWAiwCFEW99aWKJ5Z45h7py9OFUFsjNtePpsA9S3tsvhQHY/1QROh58hnyhtrtUWQfsRgTBRHdbSYZJ7xzqrfybpevV6d87mUexYtQHmuWhFmC30WlrrNjdXrL8v/67RVffRzi1T6gf6h31j0Mr6x/I1XlGVBjFcDxY7wVDCOTqTc8danyXkwMHaYl7JXiXvtnhtLyiSn6TPXpB6tjl3W12tVh/xdk7rkrZaMR+ZC4lkjGdf0T4/+NKlbjy5Zq5iJPm9NcPTcea7NB+YCoh97/vTj6nxQqwE9OmiyxyfN2G233RJX0f+IhXvPPJLYa3Ko/KGwICJ89p4Tw3XyyScnhUnjWonB00bdrCw2+WY9lMyDAi9RRq9WIsvXblK/8nmT9dkkaQsCmJoggyC+9k6suOKKaRsLyWLqiAFO7KBXK7HnoE3is/soclC23CJRJ554YrJWUgDzhOUcEwvSRAnYfmyhY7vttkuryAYO37l2VhrrloMYyn5aFdtUVMWeiayeBnSKaB1BkHfZZZekiJWVl3xut3bk44blHTm0YGXRwb2sDvYstxdddFFaICi32QIOay2FmfuJZ5X1eJCJQK6/NmvXfffdlwifOiNSlAMxqhZIyjhQHljdjd8WLEyKxmtkEQawmEwFIrfLe1aqrPR6XX311Um5tFUNkthNmpyPGCxYsCBdA7E2p5WfKRh5Rj/5yU8u2We02/WX5e9N2qpe+gBvBX0elsZM/cGYxV3deKevIORZyWzXHuNQxsuYCjdjJe8GCWuuv/76tODHpasfukG7ejX53nNkgU5WaO22UAIPi0kWj4zjOclO02euST1aHbusr9eqDvm7pnWxN/GXvvSlNB6vttpqqW/oU8Yai6AIS6+kad16dd065dR53jqVUxdHBMxYyTih/2avPgvUFj6NYca3ZS39GJ+0YTxjlEVTL2LRmJ6OJMpWb9zrtQwFQTQ46oQGRMqGGK6sEFcB4y4niyNFYqeddkqTtlgDykm/JoAm9avWdzL+19HsSWfltJo8ZDLqMyrXpJyUrUbVduufVSsJa0TZIpEVQ/2fFa6V1Cmn1XmdvqNkeTURyplXK6nTjlbnTcXvTIziRm+99dZkBUGcywTPopYxRLayr371q0s1EYHKq4cWChYtWpQmHjGeGcOlThigfyge3Kr1+VmzZqUxGdk5++yzizPPPDNZQo444ogl/Yo13GKeYz7zmc8kQkCJd7xVagpEv8bwprCZ/N0zZNZn844FH/e6jjQ5n4JAibHA6Rksk2Sr8fqFPqL/DKI0aavFS5mZKUbHH398UtZhunAsiRcSrs8jc46DP4Wzk1DyubsbV817nr2MITz1TwulFt0oqYMoFkhuu+22tFBy3HHHFRYvKY/nnXde2k5Iv4MVbJo+cxNt77K+Xqf6Nq0LvMyt+mcOp7Cv8H777ZfyBnS6VtPfmtatafnjPb7u89ZprqmLIyMNLyQk/Mgjj1wylhs7r7322uLmm28uPv3pTy/zea0f4xNMxjNG5ftIJ+CB5mUxdc8998w/9fR9yhNEkx8XOyvPALeKBqx2Kw2O40LCYkMJ86JY9Eua1q9f9WhSrs5rcvQKCQQCgf4iwALCImKllNtwmRy6MuXk2WefLaxiW7CxslqdkP3Pcmhsk+yI5T9bDfpb+/GXbkFP7ARLoXFSu7kJaiOLmMU+K6PZhRb5ffTRR1MCJtYiwkKU3QtN5INCEC18sEJ5If+UHPe3rjQ5n2LFVf3LX/7yUotF3OEsnCJJ06dPf02fqVuXfh/XpK0/+tGPiocffjgR3myJRYgl+kLy7rjjjuROry/AxbPVSVgN9SHHe8YsNAgB4FboxZpvQQKGg0oQLRDARSIyuhCCiORaINQH/Ob54nre5JnLuDkXPp0WAFnAvNzL8uL8eK6Xr9vr96Z1ce9ZCnn9WIQwpnbykBkWnMq4133eOi1s18URSeZRUnWTp8vr09zo9cPq3Feubz8+92N8gpfnpckYldtmvBJSZ5GMRxdjju+UVzYW5OMn8t5TgugB4fbBpZIYfJlDDSxWtKx0Yb4eMquZVgryd266AUxnMjDXFYTPoM4aaHDUiazaSvNfXkl1LQN9jlXMgyrlQh3V1WSinj6rp2P8NhFXgrr1y+11k9VDxzHhUXhMTupvhTP7Yasb7Kwc+w6eub0GM/cgnwdXx5QfYg9au/Yqy8Ri9ZnSVm2/31zbu4dHue5bVs60wfW94GjCUEbZ+qVDa0PuD9rhPrZqT8Ym3gOBYUNAfzfQU16sBFafNc+pVULp91kLjQNWsSnExqmymBxYQyjQXONY2YxvgyqefS61xg0uyrntFNs11lgjjT9IFYJoHJWgSRuFBmRLHJdaab7hWCXWg9ruXtfL2GvxoKwcGIMz4RET7ZhhEP0A2damsqJoDjJveZa0G2Hefszdvq54riwuW7DwDNFB9E8vZZfnzrplLqvjENccz+25IeZXC+bmXjqMeZo0eebSCWN/PIMvjLm/C08ou3zn310LkaD7eR7LJGo818vl9vq9aV3oU3SWvBDRrT7DglO5nU2et/J55c91ccQfWP1dU+hMDiGgZ/rNGFZ+5svXGJTPTfCyGNpkjNJGzxoOY45Hmnk26He8a8yb9IJeSk8JIlKj4pJoIFpWT1nzEESDBxOxDoDxcoESM0P5ocToACZ9STSs4NURypMVc7FWBx98cHH77bcn/2Wrpq5RHtRdn2+zF3JjpUJ9TCoGNR0PsUQircRb9aW8cDk57LDDxtUxm9RPe2HAWkARcn1WTqRQe3QKA5WVYJOXTca1RcfQSax06SAUJR2GqZ77FdKlXA+clTCTiQfOgN6qvRKOCIS1Ui+m02o+qwZxf8QHuWfwMwG5z+pDabWaQTGRTANZJ5KaOEf6cIlSPOQGav1AP4G3e+48iVXUnUU3tycVEn8CgSFFwCIMy5jnuJXF3rNrgjWWGQM8l55l+7R57vOiTIYHUfCMebYpjXWVm3z+snznwi7xkhVj41wWyrqxxbyQrRbaLhETIkmMP8YjCrBzy+fnckblHaGpinHUOGxOQLCHQcynWRmqLnxYBDUPme/0DQSxiVhcoAcgUp438xKi6fm0INHOI6nJNfp1LEImaVkWzwUSbY7VJkpotuo1eeZyecYguoDkadx3yySRwkoHo0upB92pLOO5Xvn8Xn4eT12MRfoUnUVbjbeeqerinHoOC04Z814+b3VwZKH1mj9/ftJRbdXFUwTpomca+3M/znUcpPde4tWuXeZB+Hi+6dvGOjq2PgmvXktPCaJJ2mRlsKCgIDhuOPFOcTH4UnAMKvbukBGRkoCwiA3U4LoE0SCu81ghAxagrKAZyJA7AetZrE5LYsBqhoAJNAaoB1456iIJhEmGcuJh16mRSTd+PCsXTeqnnixuSDN/a0G6iC9iZWBTj6uuuiqt5CFjJkj4Ou7iiy9Oq++IHKvhDTfckEgZX3mTxfnnn1+cfvrpiaQfffTRqb3iOFq1F55WUf1mNdYqRxaTpXvk3sHO5CM+Q/IUhPW0005LVsG5c+em1fx58+YlwiqeyGcTiHviHrg/3Mg8+HA2EGhnfgCsHu2999750vEeCAwlAhaEPG8G+Lz6X24oguQ55iHhmTE2iIu64IILimlj6fjFT5fFghfCxT0ToRp0guiZL4uForwKa3Eut4+3gZexAg4W/IgxX0Y3i09WVEOKhBGFHkbcd4dFzMnmZnNa1VpMcUTuzCfmzaZCL5G7QPksiXQKugg9AfnKFrim5S7L4+kpnhGuegvHYjLpE8ccc0yx4447LqmG563uM5dPMobA4Otf/3pyX88ksUwOWdokw6HjlWU81yuf38vPTetiLLJwZ1FOv6D/eEeCLRqULaXqOSw4Zcx79bzVxZGOTj80b9Ez6fH6rr7FY4CHzSBLr/Dq1EaLPryNjHMWLrIwiJV19fz9RN97ShBVhhsCImZV3AocMmDQQJZ0FBYpyhCrGCuZ/1kePVwmedamOmKSYCFTbs4MaQCwqn7ZZZel6/ucV6AN8OrhoTaZ+D67NCG2BkAdk7KmLqyGBliD7ngmh6b102Y3mPWMhY5LBwI2e/bsRKopQcijSQs5ozwREyWCBgt1NbnBFiZ5ldUKMkLonuhIyu3UXjghmh7QLMpmsZT9lWUCyScGS1ZNk7L7aILyoLimcky808YUWffVirYBAO7aaeC1kKA+LMCORdBPOeWURELzteM9EBhWBCgdeWGr7CJYbq/nwtjAsp+fKyTR85wJVD7eWMXa6Bmk3Ew1sTJqYcqYwfvEwmJWfI31SA8SbMwhYjeRZeOOLJ0sSaMuvDcsuBqb2/WpqYgRQsKSY1G31Zxszs3HjKd9+pWFGM+jfmZeMleNZ3F4PNef6DmeeQus4jAtHHM34zEEk6wLtLpGq2euehzybLGB67pFKs8m3c4CMQWeTlLXil/netXr9+v/TnWhI9JV6ToWrPU9iZAsuNNl6VjVvjFMOOVnaaLPWxMcYf2pT30qGRYYHWDNq41RhOebvjao0iu8OrXPvJfnvk7H9eq3nhNEnYk1j9sgpmuyd4MNXEgEgkKyZVFWOpOYDmAFPScf6NZAnQUpYllDRAyI3Cu5WJkoED3X58paR0w4yBb3iZwFteyimstwDcSxukqpDVYdKXNkvPVTD4M5FwbXz+Vpo8FKJ/SexcOH8KqPF5JrlSGbnh0HI8qC86yAkW7tVYfy4Oc895KSVnZpcr9kSDM5Kd99lcqdokZp83J99bbqkUU/cQ3tck52HYChz1ZB3cfc/nxevAcCw4SA5wNJbOWy1KqdiJPx1GJNeQWxfKzniqWNO95UeoaMXwifhUNkLy+CGXMpZMZd40Y5+Y45wxhCKbbaPCzulOX72eQzJZb1kOL7iU98osmpU+ZYc0J5blJxiwj6iP7uNV7Rv5Aqr6kmdAF6F68s8z/PHa7oMptakDUuVKXdM1c9zv/0Il49vK3OOuusNGYh1U3IYZPrtapDL7/rVhchUvDMi070QxjoXzfddFMKodL+qgwbThN93uriSIfkUWPeQr4ZmlgSha2Z6z73uc8l/tBqcah6Dybz/4niNZl1r1675wTRBZAGbqLcClm0kDSr2Qb1vOLtIWKJMtCccMIJKVsdFwUulXUECWKRYrWyipUFsUDykEduVspr0qHUsTr55LK9U7y0iUJSFgMJ14t8rV7XD2kyeSFaZVFXA5bJ0aqnhwv+M2bMeI3J2flVRbRbe/O1lA1bk0weMP3mYSivHFLWrLZR8qxkU4BfGLOGUvLqTNzqo8x8vM8hgcCwImA8sXCSx4067eQFYYyrutnlcz3nFGYKkGduKjxDFtSQXu7rxi6KqHYQ2Gizl8WkvLjoNyvKFpXEXPNYGXWCaKGU54e+MWwut+YeJCgvGLj/WcyLnqV8TP5+VN7z3OpZ9+LJRTGX3OrCCy9MehfPqLJ0eubKx5U/0y3oVP/6r/+aFuPtA9xqIb18Tv48nuvlc3v93q0uFlosSBl7yvoO/UZ7ERlW+lYEUV2HAaf8LE3keWuCIz1Rf4WpsDPjv8XQSy65JIVNXXnllWl817cHUXqB16C1qy8EEQkxiAjsZiZGqDxskjBk8oVUUARM7qyIXCCRujlz5iRX06wctALMSoNjdT5uV+UH2Iqy7y+99NIUqyKepZcdykBscKm6wrKw5UF6suqn3epmoqQgZhfajKF6edjHI8rURkonF5xM9HNZrqf9LIxWfbjDshabQExYEtKEBAKBwNIIcKlGcjy7dQWhNMZSQlqJxSLjrHLzeNvquEH5ztjC80EGapYO44Z6G8uMK9oBJ272PpfnBmOLxTPHcnkbdbEwh2TzyIHNMAkFLIeI6DNlMbf5jidPecGyfMywfjYf89CiSyGB2RvHAgFru8Vq3j9lgljnmaviBWN9y3MqNMgzyeIPbwtWnfrbeK5XvX6v/q9TFxZY+9IaY7nTZkyNSz4bg9uNN8OCUy+et7o40h1xBSTR4qBrE2FjOAFd1l6fFgJ7qc/3qk8ppxd49bI+vSirLwRRxQR3CypFFjB/bg8GlSyIhEnddhR+k2jliiuuSK9ycpt8fPmd+0yOX2S1q4oVHp3NQLZw4cL0kE9EUcrEzwBoAtpnn33Sq3rd/P+yrl++rsnT6ovJgJuRBylbGQxaVr2stHI3bSpWzkw4EkQo373MZRtwTVKEFUBMkEGVmwDM4JcxbHrdOD4QGGYEKHUmP2OhxZtu45RFGvudGePaPcfIpskKoRp0MS5RbnmDGFMQRGMGBYxii+xKUCAGkws7jxGkMStsfldGHvsGvb2t6ue+5zZ1u/+tzi9/Z17l0l/1FCkfM1U/w8aiM/dPC5VlyYuj+nyZCJWPGcbP5lVJ97jf8ciSjI6OQlhbPRewKnse1X3myng5h4WetxZdwEbmvMJYfMQkSqTVjiSO53rla/fyc926MEAwXMjVwAiRx5vcz+BaXYBXz2HBSVvG87xVx7K6ODpPqIVrChMrizmSNZzOD99BlfHgNahtyfX6//KHXr+bzLmWmuytOrnJBpYs4gMNbDqGAf3www9PDyJLo0muneggVhG4OyKWrQQ5lRKX9VASFAlXsuQO7L1MWvL3JmpKRxYDAlcCxCiToPxbq/eJ1s/1vaqkql398veOpzQKTGfdtFm2tiOrFEqEUYKZjG0+r9pebVJW/t07cf+s5lBQZUmVJMNqD4z5iEuMw0/c/+6Ncq2wqQv84YhIepmscvnVdub65Dqki8efrgjosxSBdquaXQuIAyYFAQs6FCv3jTt2FkTIuOOFPBLvEjt5nmwg32ol1bNlDKUkcvUeZNFnuaHzLvCZcm+uQBYtNHnPrrfGNUTR+FUeh2HG/d1Kv2MGUfJYZ2zzKotxzjgqZEHbW0mn88vHwxAWxmjkYCpKt7a6z/QFz4C5JAvlUl/QB1o9F/m4YXvXf8ytFoTKllPfw8RiAYU7k+Ymz1zGyphSJodiDuly9AGL5cYqcYnmfdcty3iuVz6/l5+b1MW4nMlh9lDTN+k4dBohUtPG4sHLMiw4ldvU5HlrNZbVxREBdyzvkGpsvXLNA7ku5fot68+jNj71zYLoxklmgvkbpEzuZTHAIyxWwa0Kmti4D8kc1m7PIavKlAam5uzi6bvyZOghJRQkk7FkNVa5Pvaxj6VOhjBRoCgZVqitRuqciI2Oqa4GQ4l2DIKuc9555yVCxNTNLbadTKR+VuAQPDEkXpRBAy5cDP6UCHU2KaqfSdCDo96US4qTusJZNlgETn0RZavJJk97Q3kpu117YeY6SKX2iGl0r/IqDssgq7DAd/c248xXXAYqCq36Iv8UPtdmuYSxe4fce9DdB+2jzPiclWMuCdqsLc5zbNmlrB32o/q9BQn3C+76BWXAimfI1EDAMyJuDvFjScuLXp4Jlnir9BQVypjnwsKa43MCl2orPTeeXS7g7SyM1XMm639tFF+CHBmHjdPEuEa5FdctqyTxu89S7Zs3jDeElwjFj7fCoBFEbTB+ejbdR2McV1piPOWRYbw1VsrcfMghhxT/9E//tMRVr875qbA//aGomwcsymaltvz7IH+u21bjmznN4qdFT3MODIU06DeyZJcXoge5zb2oG6uF0B1Z140RFgk9D3QC2dD9zmU753Zo8szl+tGLFo55YrGaZXKYf8skUXZT+1DbaqtsvR7P9XLZvX5vUhdjSV6M0n7Pk7GVZ5oxmz7pGS7LsOBUblOT563VWNYER/3YHGg+sAAK3zwX0AtZbPGDyZBRHZ9e/6UxaQU4kqLDs8aNd8DN8SKSCsgwZ+LKQqk1uZs0rYBRbvm08z9uRxCRN8SHkpTjUqy+G7iymCSV64U4qjsl2qBl0DSRqEd+uL0bUFnBTObKcqw665DqhpwhnhSWvBKXr1d+n0j9KAsIIgJFoVAHddE+qxYsmAYs7cn1g53vPUQsts5HbBFzDyuFMicHokBJj+tc97Vde+GnDjDmQmpVEg5e7gtiirC5NuKIIBosTcyIofKRQeTPgAyv7cc26lVHx6vjtLGVN/eHy4DzczuVyXLgfC5l7o0YiuzKWsa61WcPMeILI8RyFIRCIMb3q1/9aoq7pUhz0xsW0ff1nfLYsSzbRiHQb/tFuj0vxDNPCfH8aqvn1xhJyWNl8yzBwjhq+55WiyZw8tx6fj1zveoHecHImKh/9UqQJeM5JVbd80v5sDDeIoJ+h4nra7exw3jsWbfIhyQYg+qOE03qTzGhGLpGU9LlvomtN7dZbDNnGeOMv1bExctrlzHXO+JD4c5S5/x8rHeLh/qRBUB9xNw9EdH31bVffb9ct7pthRsF3f3nvuZ/uorPlEfzXKtno3ytQf6cMdeOumLuN/cK/aCDmBMkKoIpRVsYj75Hmjxz+fr6gL6vrFa6IN3As+n5NW+b07OM53r53E7v48GpSV3gBVOEhQ5F96IzebeYL3zKuFSWQcPJmGP8IuNdLGzyvLUay5rgyIJIP2RIoBvSvWFvDlQPWU3LVvIy9nU/537TdEwb1vEJt6Hf6B/l5zbj+bqxh3ppn4A//WKVFpmyem0VYbxiIKfsVCfXrPghZwY0D5ubjxwMmnjQtENn9xBMBYEvQowce+gMdr0SXYYVlkLinnl4y+Kewsy9zAowJUhdTDDVgbV87kQ+szhaWeZaR5EeFXGvZaqTDXjWrFnFqaeeOhRN18eQfgsI+vBkiH2YTFDnnHNO3y6vnVzCKSNHHHFEWhTKF/OMeZ4M3t3GHuOochAn5VDaeiFIp4UoVoiqJ0gvym9ShrmEIoYIwcMKtXZ2w6bJNcrH3nnnnUlhkVWvlXJcPnYQPiPzSKg5uzrnNq0fCzYdoJ99v2md8vGeCYoNBdj8ox8gJ1NdjDcwP/fccxs3hTeOOZBSbXHc4iwy3a9no3EFe3jCRHBqUg16C0yNOYiwhWfz0VQQZNb4RSwSTEQm+rw1wZHuaA6z8GOxRz9mKOmF3risxrSJ4jWRe9XkXDs9WDjRPyw0VaWvLqYuZvCuEgjf55uNRLSqmGMGRQy2ZTfWQalXp3rAt19KtQnHINluoPRQ5xXLXEcKbqsVivx7vI8fAfeaMjhRhXD8Nej9mVYPLVIhZxap+tWXe1/z5iV6VqyOGgu1mYt4bm/de2oCtjpqUYg1v1fksHlr+nsGjCgLXiGvRcBcOujz6Wtr3fwbc0z0g6Vx44HFijpZbnhL12Y4/qOzsK6M1wI3HCgUiahN5HlrgiNdW4yn11SVYRmf+k4Qp+oNjnoHAnUQsNrFrYelh7WUmwTCxr2Xsp6Jel7dZom2wo8AIdisf1YnvVuhdH5e8bUKxSqkbJO/c7m7seA6Ll+rUz2ztddqu3IQDtfJBCSf61osWV7qRhF3XJnoc13TVr9nUsqqom6kThl12q987lLi01yP26V6aO9UW6jJ+HZ7Z/XmtiQWkcVOgq+6LpNw55LDDZWboldIIBAIBAKBQCAQCAQC40UgCOJ4kYvzAoExBBBBQdUsP+IzBfEjfuKk7BElFpO/OxM+4iNmStZG7h9irCj3d999d4p/FTM2c+bMZAFAxvi9i9FyDSuYiGWORUUgZJCzyoastRKkU1ytmDQxOogoN1/xVGJccjwZksvv3/UINzVElEshaxYSiDhK+MSix11ZOcinNmy11VbJpbhbGXXbz40QJgvHEiMghdwgEGXXGfTMnK3uQ93vxKQh28i8xQUEvY4g/u6JeL2JhAPUuVYcEwgEAoFAIBAIBALDj0BrzXL42x0tDAR6ggC3C8RQTJQgdkSGdQ6ZkXhIxl3kjFD6EbwFCxYUN910U7Fo0aJE4CSm4CI4f/78tF2IY1nOJLg4++yzU+ZGZElsiRgI5Exc0JlnnplIn+NbCaJhSxLWOG6atpLh+mCvrMsuuyyROueJfZs7d26KV5DxDsl13Lx581LSIMfwU5fKHPmdPXt2Ir3IbQ6Cr1NG3faztm699dbJVUpiJMmVhtltEr5ZkELZ3OqSQ+chlWKwghxmFOM9EAgEAoFAIBAIBCaCQBDEiaAX5wYCYwhwf8wupBkQrpCysJZjyCj9rISbbLJJcikVKyKZyFFHHZUsjCyFeS80yj5iJCkIV0MxaieffHLxhS98Ib1sdSB7KZLZSljh/G5/SgSWhUk5zvOb85BawjKJdDqOtVC9p41lmmVFZBUkrI/cGJFCZFbgOOtitkLWKaNu+9UVpurrs0RISHerWOZUufgTCAQCgUAgEAgEAoFAINAzBMLFtGdQRkGBwNIIiCXM8YT5F5Y5pAcRk0hErB9Bynzmksp103n5WARJNjrie8SSO+EZZ5yxxC00/Vj6w5LJ6sellZWP2yhhmeSuKpGFrHfE/yeddFIis4iel+PEC3I/JTnpyeWXX56SDW2zzTYpTX/eTqROGcrJberWfseGBAKBQCAQCAQCgUAgEAgsewSCIC57zOOKgcBrEBBHiPyJG8wE8TUH/ekLbp5cW3MCmlbH5Y1dEbgZM2a8xsKJqOUtSJA1sX0shOIQEcQXxvbHyXVRvljHPfbYozjrrLPSdhr2xDrooIOWbMBcp4xW9czfVdufv4/3QCAQCAQCgUAgEAgEAoFli0AQxGWLd1wtEOgJAtwtWRYRs1YiIYxENxKYcCmtxrRxKUUACevijTfemPbfEoO4//77J7IqmU4W10I0WTpZEcVHiq2cM2dOcjWVdKdbGbmseA8EAoFAIBAIBAKBQCAQGFwEIgZxcO9N1GyKIMD65YVwIWNZ/F+2wuXvJ/ouDlDCF8lJZL5sJayMMoDa5Hfx4sUpg2o+Djn0vRhE9V04lgDHBrLiCWU3FfvHOumVBQFEOGVjZUWUyIaV8YorrkjxiXXKyGXVeWdN9VKHTGTrnBfHBAKBQCAQCAQCgUAgEAhMDIEgiBPDL84OBBJRk6SGW+dLL72UyJs96cQTsuSJ9cuxfJlEVgkYoob4tSJECIjaHEUAAEAASURBVB1LYBbZTBE8CWfseeecfH4mqCx9MltKNHPdddcV999/f9on75VXXkmE0bYcSJ9yX3zxxVRX5yKezpEBVd397vXEE08U99xzTyJrEtTIiGr7Dttf2EqjThliGuu2H0m1uS7s4KoOkuOEBAKBQCAQCAQCgUAgEAj0F4FwMe0vvlH6CCAgHvB973tfIlBXXnllsqghWjKAymKK0NkGYs0110wkDXFEfJBI8X5EIhlZTJEz5C8nf/EbIoegSSwjkY3N1JW/9957p60NlOMciWmQNeVzKd1yyy2T+6e9FLmCIpPiDl1z8803Ty+xiOovcQ4CKBmOY5TnWtpgH0XWxscffzwltLH1hLrKNCphjrpKhtOtDMdl4tyt/Zng2nfRfpJE+9dZZ530Of4EAoFAIBAIBAKBQCAQCPQHgbAg9gfXKHWEEECo7NvHPZOFTnye2MD99ttvyVYVLGAIHEub45ElZI7F0XfiADfbbLNkjXz66aeXWBwzjJLHXHXVVWlPRK6dyt5zzz2TVU22UllH7b0oNhGpQsCQt2OPPTbFFHJHRTLVb5dddknnI68Ios3uDz300ETwxB2yZB544IHFXnvtlSx3ykciuXzawJ7LKpKKKHI1ZT2tUwYM6rYfRjK1brjhhomgalM1jjJjE++BQCAQCAQCgUAgEAgEAr1DICyIvcMyShphBBAZm81zueQeKQaQS6WkL/7PIvOnV1Wc305Y9ZxjA3VuoKxrYh6J5DGIqVcrsefixhtvnCyOXFXtJ8jSVxb7H5544omJlLIaImfEec7JiXBkMUUeEV3Xd23HkzplOAcxrtt+e0ayesIRniGBQCAQCAQCgUAgEAgEAv1HIAhi/zGOK4wIAixyXll6ubE7IoaQjUcQM8Swk7AkchktixhAr7KoB1fPVlK3jFbntvtuueWWK7xCAoFAIBAIBAKBQCAQCASWDQJBEEs4s1SIz5Kcg8VCQo2f/vSn6Z17m6yQ3OwISwprkZfjKc6OKSvZjhErJrmG7ynQkn9wtaPsO155rslF0PWq15GAxDXyeQiIY6oKvwyTylAXhMBxLD9cC0OmJgI5OY1+5HNIIBAIBAKBQCAQCAQCgUAg0G8EgiD+CWHESqINMViSgoipopiLuRIrxt1t5syZyXoiI6XkHeLCiPgxyUU22mijlBQEMaPQS/Qh8YcNyLn6IYUPPPBASlgiE+T06dMTgZP845FHHknJTLbbbrsl10EYXVuSEHvOIavK5frHpdC2BASBfOyxx1LsGfdBxyCW2iAuLWTqISCGUKyhd4Rf7J4FAAsDFhpCAoFAIBAIBAKBQCAQCAQCgX4gEJrmn1Bl6fvWt75VLFiwIMVisfKJl3r3u9+dCN38+fOLVVddNWWOlJFSvJnYsnnz5iXL35lnnpk+szzuuuuuibQ9+eSTxbXXXpsSkYjbQiCVR9GXcAQB2GabbVJMGAIpYcnFF1+cLISShLAa3nDDDYl8SkqC9J1//vnF6aefnrJIHn300cn9ThKRa665JiU5kWxExkmblsuMGQSxH49N/8u06GB7h5122ilZmfVHCxhiFYMg9h//uEIgEAgEAoFAIBAIBAKjikAQxD/deW6brISyM9ozTgbIgw8+OCnn3DRPOeWU4plnnklHcwllpbMPHWshN9Fp06YlIseyiCDK7Kg82RcRQeXNnj07HSvpCPKIwMkCKaskQTglC2EtlIzkoYceShZH1sKcWMQ1ZclctGhRSoCiXJZFVkpbLXBnZZ380Ic+lOqTCo4/Uw4BixNeIYFAIBAIBAKBQCAQCAQCgcCyRCAIYgltlhlEDOl7+9vfviRDo6yRYgztL8eK9573vKc46aSTUpwfsphjCMUw5g3RFStJifJkheQamOMXlS/Rh+PLCT8k43Ad1kYvlkFWI0SSRYmwPrq+87gfEnUll19+eUoqwiq5xhprBMFIqMSfQCAQCAQCgUAgEAgEAoFAIBCoi0AQxBpIiQFD7sQEIogIHndTVjtxiAgiK2H+vVuRSCAyiiCWxXWUL/bRRuTiD1mRZsyYkSyS5WOdn7cjWHfddQtbEJx11lnFCSecUHz4wx9OWwlwaQ0JBAKBQCAQCAQCgUAgEAgEAoFAoC4CQRDrIlU6jjVPjB83Ufvc7b///olASnDTK5E0R2ZSsWfcTbnAloWLK0JKJL9BIlk6WRG5oHJTnTNnTnI1jZi1MnLxORAIBAKBQCAQCAQCgUAgEAgE2iHwx9222/0a378GAWRt4cKFxQUXXJCyiIoPFDvI8ufVK5HsxrYaMqEuXrw4bV+Ry0YOfS8ZDZF1FZk84IADkhVRXCOL5hVXXJFcUvN58R4IBAKBQCAQCAQCgUAgEAgEAoFAJwSCIJbQYZFDAKtkz3fcPn2PiNlyQDyi72U/tcWFjKOsfix+XtxH/d6qvHydXG6uQv7edcQsrr322qns6667LiXOefnll4tXXnklEcYHH3wwEUPnfu9730vbaThfgprDDz+82G233VImVeQxJBAIBAKBQCAQCAQCgUAgEAgEAoE6CISL6Z9QQu4QMMRP8hefxRYSSWLEBCKCr776akoQI/mMPQ5lJBULyKIntlAWU/sWih2UXdTWFUilcpXhPNY9bqqI5LPPPlu8613vSuQT8UQ4kTrXev/7359cRO+9997kLrrFFluka6nX5ptvnl7qh5wijJLXrLLKKuk6b3zjG1PmVP+HBAKBQCAQCAQCgUAgEAgEAoFAIFAHgSCIf0LJZvMIGrKH3EkQg9yx5iFzm222WdrUXmyfvejsN2jTe3GHH/3oRwv7FiJ/ktbIPoo4ykBK1ltvvUTakEhxggjiiiuumMqW6MZ1XQeh3HjjjQvkzvYYW2+9dXHsscem+MMnnnii8Fp99dWLvfbaK22l8YY3vCGVL6OpJDp333132mcRiUUMbXUhoU5IIBAIBAKBQCAQCAQCgUAgEAgEAnUQCIL4J5TE+x100EHpVQUOIawKa50tLVgNczZR5E58IFImI+maa66ZksdUzz3uuOMKr6q0yjoqOY1yWRaVzfUUES3L9ttvX2y33XbJDdb2GK4tcY26hQQCgUAgEAgEAoFAIBAIBAKBQCBQF4EgiHWRqhwnMyhLX1mWX375tA9h+btefEb4EMN24neCEJb3VWx3fHwfCAQCgUAgEAgEAoFAIBAIBAKBQCsEIklNK1Tiu0AgEAgEAoFAIBAIBAKBQCAQCARGEIEgiCN406PJgUAgEAgEAoFAIBAIBAKBQCAQCLRCIAhiK1Tiu0AgEAgEAoFAIBAIBAKBQCAQCARGEIEgiCN406PJgUAgEAgEAoFAIBAIBAKBQCAQCLRCoG2SGolP8t6AsmeGBAKDjoC9Ju0R+Zd/+ZfFv//7vw96daN+UwCBX/ziFylb8Sj3p/xc2fpn1HCwxZF9cW1HtMIKK0yBHtu7Ktq31169o3bPe4dg85KMN4F5d9wCp+4YyWjvGSbxDP8RrxjT/ohD/msPdVvstZPXjf3Y8lebvd98880pM+Zyyy3X7vz4PhAYGAR++9vfFv/93/9d2B/S9iAhgcBEEXjmmWdSn7In6aiKLXaQQ9v5rLzyyiO1fc5vfvObpbYuGqU+QHkwpq6xxhqj1OxJbavx5mc/+1mxzTbbTGo9Bv3igVP3O8SwY4GL2Bc7pChiPl+6Fxhr3v72t6ft/VrpzG0tiP/3f/+X9tKzB1+rE5e+TPwXCEw+Aj/96U+L73//+4U9LVvtXTn5NYwaTDUE/vd//zetsO22225Treo9q++LL75Y3H777YkgfvCDH3zN9j49u1AUFAiMOAKU+j/84Q/FKI83dbpA4NQdJQt7TzzxRDrQPtkhRRHz+dK94KmnnkpW5jZ2wqIjQfzzP//z4p3vfGex2mqrLV1q/BcIDCACLN0vv/xyseKKKxbrr7/+ANYwqjTVEHjwwQcLLpaj3J9MHkIOuG6vvfbaxVve8papdhujvoHAlEAgxpt6tylw6o4Tb6oXXnghHTjK81cZqYceemjk5/MyHizM2cpc/j5/jiQ1GYl4DwQCgUAgEAgEAoFAIBAIBAKBQGDEEWhrQew3Llalf//733cMkMx1eN3rXpdWsK1iD5IwV3MHsbI+6CKW5ne/+13x13/918Vf/MVfDHp1o36BQCAQCAQCgUAgEAgEAoFAIDAJCEwaQURYuAO++uqrxa9//eslyXAyeUEgETAZvZZffvlinXXWSQkSJgGjlpdUP5mh/uu//qv4wAc+MNAkUTbaRx55pPjud79b7LzzzsV73/velm2KLwOBQCAQCAQCgUAgEAgEAoFAYLQRmDSCKDuahCKXXXZZceuttybyJ1NgzrbEuog4ImEsiLNmzSr23Xffgblb6vaNb3yjWLx4cXHyyScPdIySNO3f+c53Un1lLAqCODDdKCoSCAQCgUAgEAgEAoFAIBAIDBQCk0YQ3/a2txV777132rfurrvuKt7znvcUn//854sNNthgKYCkpbXdBlfOQZLnnnuueOCBB4rvfe97xX333Vesu+66A5v+/c1vfnPxkY98pHj3u99dvO997xskGKMugUAgEAgEAoFAIBAIBAKBQCAwQAhMalAfy6D4PS/xha1iDN/1rncVO+20U8pMOSi4SbH8wx/+sJD+nXVOZiT7hA2qwBXx3mOPPYp3vOMdg1rNqFcgEAgEAoFAIBAIBAKBQCAQCEwyApNmQazTbjGIXFHFH66wwgopyYqNHcUl2rTZfnfIz89//vPCni8+/83f/E3x1re+NRXPTdX3krM4XizeL3/5y5SmfSJ7OyKG9txDXBHFp59+urj//vuLAw44ILnDlttmP0l1EHP5xje+sfizP/uzwgbE2sCypx6IsnppG0up77TN91nEPHJrzefmzeC1l3Rqq7Lg+Itf/CKR8Wrb/eba3m1tosw3velNqa75+trh+l5wfP3rX5/qqU3EvdIGv0mEox0wateeXG68BwKBQCAQCAQCgUAgEAgEAoHA4CAw0AQRwZBYZeWVV06ukYjgHXfcUdgDh2Xx4x//eCIjCBo3VfuV2WAWUUN2fvSjHyXiZj8YLqw/+clPim9961vFLrvsUhx22GEtLZbdbg0ixu31V7/6VXHwwQenDaQlgOFuyo0zEzblsDQ+//zzxT333JOuvckmmyRS6FixlWuttVYxffr0RH4ff/zxlEhG0h6bms6cObPghkuQLBbKb3/728UPfvCDRLyUvfHGGxe77757uma7ttrYGiaPPvpoipfkYnrggQemcpFOSXZg/OMf/zhZQ5FpZHybbbZJm80jjL4TL4oME/umOG+jjTYqPvShDxXIKpfbb37zmwWsJe1BKO++++5U7x122GGp9qRC4k8gEAgEAoFAIBAIBAKBQCAQCAwcAgNDEFmfED0um4gLIiaxCuKy3377JeC4RyKGl1xySSIpyNVqq61WbLXVVsVTTz1VXHjhhcUaa6yRjkVUbrnlluKiiy5KhEe5SBXLHWuZ8lu5tHa7Q8plQbRZ9IYbbpjq4ZpPPPFEIp+77rrrkiJY25588sni2muvLV566aVEKpEqsYDqcNVVVxUvjG1kiozJ3opAOu7iiy9O1rlM5FgNb7jhhkTKYAGf888/vzj99NOT9XSvvfZq21Z1feyxxxIO8MzWVZVkUbzxxhsT4UW2Ja+ReOfEE08sENbTTjutWHXVVROZnTt3brI+zps3LxHWM888s/CZtVC9Ee8FCxYkMgnjd77znamdiPD8+fNTOWJOQwKBQCAQCAQCgUAgEAgEAoFAYHARGBiCiMhcffXVybURXFwykcNqzByXRiSHhSrLcsstlwgbS1YWxOajH/1oIo4IEmsdqyHShhyyjDUVxIwFD0lkuSPIHoufbKyLFi1Kn9WHqCfrGQsdIoiAzZ49O7mOrrTSSok8aiNyxqpJxGMiaK5D1FWMI6uja+ZtQNZff/1ECl2T5bJTW7mLIplIbBblsnyyxopNZI0kLK2INwupe0CQd+TaNZXF9XXatGmJsLIsIsXayUrJ1VY7WVcdxxp5yimnJBKaCos/gUAgEAgEAoFAIBAIBAKBQCAwsAgMDEFETL74xS+mbKDQEsuGFHGrrCPISDlmzzlIIMKFZOYso2UX0FwuF07EESkqi/0XWQpzudxWETfWP0SJtc+5rJjIIyIqq+mmm266pBh1QOrEQLp2Lsv5XEjF7mVXUichl+L7cl28s45y4UQmuXcSdYCZc1lH1bNTW9WhbDF1DosisrveeuulMv1h+Tv++OMTIcz1cp2TTjopuZIii16ur+7cT4nYStfQLltpaANRL5+5/8Iotz/9GH8CgUAgEAgEAoFAIBAIBAKBQGCgEBgYgoi8IDjZ+uZ9yy23TMlaciKU8SKn7DI5qpbDJZKVTnxjWcTS2XsxWxuRNBYzljWumFmQHyQUebTlBTfSfE4+pvqONCFVSFZZ1BORYiH1zg1U/CHiNmPGjKVcRJ2nDORTfCXp1tZ00Ngf8ZzqjdSVLa8InOQ5ZUH6WGRdQxwigvjCmEUUOVbHTqI+yszHBkHshFb8FggEAoFAIBAIBAKBQCAQCEwuAgNDEFvBwPq02WabJXLB4oVk9EOQHNZBiVfK4pqZAHGxRABZNiV9KZMqMYi+v/TSS1MsHndZsZK9EOWqGxLLLbSagVS9xoOL8rSPhZJVcs0111yquq6l7Qio38Uqiqfkzrr//vsn0icpTUggEAgEAoFAIBAIBAKBQCAQCAwPAgNNEFmbsrulOD5WRVZGVimkCInJ4n+vTOjy9+3e83GuwZV0n332Sa92x7/88svJgiYLKKtiVbiPSuwi0c7ChQuTxU89JyqSwNimgjvo4sWLE/GEAUEOZUllhexmsazWg1VwxRVXTIRW2dqVy0UekULYcxfVngsuuKDYc889UxwkzOCXMayWHf8HAoFAIBAIBAKBQCAQCAQCgcDURGDiDGYC7UYwkLxsrapawvzPxfLOO+9M21ggQZKeSP7iezGA9hhE3rhLsraxiuW4OOfn8stJbRxnWwiZN3NMX6dmIGJiIV2DRbOV2Ktxiy22SBlOJWqRFIbk61cJVbu65e8d7zMr6tprr52sm9ddd11KAqO9r7zySiKMksyII8znuV65reqQy/Kb44hyJdiBlwyp9957b3IbZf18+OGHU/wnV1Jk0Xfa7nx4s7RqHxz97uWz36vtzPXJdUgXH4I/2gNn5Lz8yhi0a6JzWG3hGBIIBAKBQCAQCAQCgUAgEAgMGgKTZkFE4uz5h6hli5UsmNwpWagQGeRFgpbrr7++QMC4bSKJrF32FrzyyivTnoCUbbGB3D6VaWuFaWNZNhEbeylKqPLss8+mbSlYzhCc8847L5GiOXPmpNi+djcm7wF42223LXFB9V2OlXRejiNkiUQQJKv52te+lrKBujYiq11Iltg/cX8vjMXwIafarm7ahnSos/bk7TRWWWWVFItpv0EkTn0RUXGHCNzmm2+ektXArlVb1cd1EEr1Fs+I3CGIYjxZBbmPHnfccen/3Ab7J0pe43zxleoMc9lXXZvlkoUR7gilJD/a554hsOpGJNbRZpg7Rywlt9WpLrCEqZf7BQv9jxVWH4UXjFlg9RWLDO6D/u5+S2zEVTkkEAgEAoFAIBAIBAKBQCAQGCQEJk1TZwGUGAZh2XbbbRMplPgF2UAgKNRIBuVb0hR7HSJ3ZOutt07bJti2wV6HtmmwPyA3T/GAmXAiis6huFPkERQZOSnzK6+8crKg5TLb3RR1QPi8OxZhRZLK228gC5K3IEfbb799coHlasqFE8EiyBaipA6IA4Lod6RQ8hfE0Gckz5YTEvNwq9Um20Yce+yxKf5Qm71WX331wv6HtpiAZbu2SqijHPWXdEd9ZFp9//vfn9p/9NFHJ4usLS8yURVjuOOOO6Z74l4479BDD01WRXGHttSwRyMSpN3umdhIxBEBdE+RYu1BilhdWX5hAruJJh1qd6+W5ff5nos7RbD1J8SdO7A+C3fk0P3xPRyReK66sD7yyCOHiiBmy3Qv3KqX5X2MawUCgUAgEAgEAoFAIBAILI3A68aU+JZpKLkuSkqCDLB2DJoggaxWLDbi9FjxKKk5jq5bfSn4zkFWWCyngmgf8oE8I44IWi9EF4AlTJHxVvGMXCNhhlwjggQJUhfEeRCIAfLNvVfGVQR3WQiCiOxZwPjKV76SrNTuEbfoM844I5HlY445pjj88MNT37zwwguLE044oZg1a1Zx6qmnLosq9v0a+o5FCs+hfjlMcv7556cFlnPOOWeYmtWoLRaU9FvPub5sgSskEAgEeo+A8Ybede655/a+8CEqMXDqfjN5odFDyAEHHND9hBE4wgK952uU5/PybbbrAqOX/pG3tSv/PqkxiOWKNP3MKshqRSklSE1dcuh4bn/OnSrkUJ2RMAq4G9krcqhcGMBCua3IoWNYwJDpTA59xx0VoRwEcqg+kyG538Eg4wBL7qMSH3G7vf3225Nrqd/1W69hEbGnFpOuuuqq5N49LO2KdgQCgUAgEAgEAoFAIDCqCEyai+moAh7tHg0ELEAg3Eg1C5vVvE6SrbjiQ1ly8wJI2SLHiqssL8SMNdciSdVlV7yr2FfHZFLK+sPNl9Qph3WdW7IyEF7Wa+7P3l2TK63fZMC95JJL0vU23HDDVBe/lWN0XZOlmYu1uhMLDSxRjmOZzvV1Leerd7d2pILiTyAQCAQCgUAgEAgEAoFATxEIgthTOKOwQOCPCCBEyJB3hKccs1rFCOkStylTrr02ETHniUXdfffdU3wjEiUhkJhPIrZT4p+NNtqokMAIASSuKWZW3Ckrs3KQT3Gk3GDrlIP4Pffcc4V4U8TWuUjl3Xffneq5ww47FDNnzkzxrL5bOLYNijZyV5Ch1XW4+ZaFO7JYVWWqQ06QhCAijjfffHO6pn02le/4Tu0olx2fA4FAIBAIBAKBQCAQCAR6h8CUdTHtHQRRUiDQOwQkARKDKJEQQsS6J0mPpELthNXQViOscWJ+xSty6T399NOLyy67LBEqSYjmzp2bYgqQqI9//OPpmHnz5qWkN7ls/uTXXHNNsvrNnj07uboid7LJkjrlqL8tYBYsWFDcdNNNxaJFixIxtC0K4jZ//vyUsMh2MxJGSaIk2+706dNTUh7JearCFVmiJoRVnCgSmo/zjuBydUaKue12a0e1/Pg/EAgEAoFAIBAIBAKBQKA3CARB7A2OUcqIIyBJC6udeDzZeC+++OKUsRbZO+SQQ9rGxyKUsvk+8MADaasTVj+xtOuvv36y0CFntsbg7olc2Q4FmeKeOW1sKxdWRJbFLKyPsuIihcjcWmutlSyMsqySOuVwIWXF22STTZJLKQJ4xBFHFEcddVQKZmbxe+aZZ5KFEgFWX/VGArnEtotjVfedd945uY/KmIuIElZK9bV9TQ6U7taOdGL8CQQCgUAgEAgEAoFAIBDoOQLhYtpzSKPAUUTANir2vkSSxNchb7YLsZ2IuLp2wiWTtYxLJysf11EiJs+WLAiT7VN8Pumkk1JsIpLn5Rixglw2s2Sr3OWXX56SCG2zzTZp6xfbj5C65bBgIn3IqDLFOxLE1GfJd9okQE7HtfqjTHGKXFZlxmQxtd8mqyYcWEazdGtHPi7eA4FAIBAIBAKBQCAQCAR6i0AQxN7iGaWNKAKI1ymnnJIIWBMIWB7FHyJwM2bMSHtSls9HqhBOZE1cH+ugOEQE8YWxvTTFL5aJ2rrrrpv2BT3rrLPSdhof/vCHi4MOOijFKioX4atTTrkO5c+Sx3AFrV63fEynz9opRpFrLMvppptumrKfKnfNNddccmq3diw5MD4EAoFAIBAIBAKBQCAwIgjwuJLMkH7Yz6z4QRBHpENFMwcTAbF4snV62Lmbcu8sC7dSZIxl8cYbb0x7+LC0sU4iapK+lIUFE9Fk6WNFvOWWW1Limzlz5iRXU+6cdcopl9nLz8iuxDpiFh9//PFEEiXW2WCDDZZsE+J63dphYAwJBAKBQCAQCAQCgUBgFBCgL/K2ojMJIaIf2m5upZVW6sse1BGDOAq9Kto4sAjkbR2ef/75YvHixSl5S66sh9/34v0WjmUKtcmrWEKZTcX9sRyWrYfOQwARThufsiJKZsPSeMUVV6TsqHXLyXXo9o6keqkHIltH1llnnWLbbbdNrqVXXnllGujEH5alUzu41oYEAoFAIBAIBAKBQCAwKgjwILv22mtTeI78D7LeS2Z4zz33vEYX7AUmQRB7gWKUMbIIsPox9+f3TkAgUfk474Slb+21107JZq677rqU4fPll18uxDQijJLecEF98cUXU9yf8yR3kZxG9lMrSqyPXuIRxfYZLJA1CWokydltt93SilOTcpzvWlUSmuufCSGiagVLnCR3WfWwstVJxFVyLUUskV8YcH0tS6d2II8hgUAgEAgEAoFAIBAIjAoCcj8IMWJYWGONNVJIkxwUwnXoZL2WofHTohxTaimsdcTxFG0Krb3YAN5Pt7Wm9avThn4eQ8nX8eAi/i1kaQT0GwRNYhk4IWxIDQsfwlPN5MkaKDMniyAXAWTNw86l1J6A9jK89957C66gW2yxRYo7FGe4+eabJ2sb8uU+IH/cCbhqKkvCGFlM7aFoGwp1QirFRHLjlHHUSpNMpOL/JMPpVo7jkFT1Q/x8VheivcrUXtfPBFcG17vuuisdgwCyEnYSW15oN2ugRD5V6dQO7RpWyYsI2pfHI6Q8uxq3ajeirR/oc2I5Q5ZGIGOaJ1AY5aRL5SPzokj5u3bHlo+Zqp9zpmP9xzifpZ9jv3tg7NSfjWHVcTLXIb+3q2P+Pd5fiwCMvdxXr3bimLwI2O0+tCujyff5enm8anJur4+tUxfHeFXH1Hbf96qOderWq2s1LSe3vVvfalXueNtlrNBP6emDIE0wyM9XnssnWn96kwV5+2qrB71M2TLEV/vpRK/l/KEgiICSCZHSKkNiN5LIf5dyy/WOZYZisP3226cMi50G1PEC3rR+471Or85jlXrkkUfStg22JUAuQpZGAMmzV+Crr76a9gIUKIwkeXARnuqES+mSrRQhkqTF745HAOF77LHHJrJo/0Qv+ybutddeaV/BFVZYIfXrQw89NG2HIe7QfokHHnhgIntWlJStHORMH7aBPcKofggVAmrfQs9Ht3KQXM8FBQ5ZRGZfeumlNCCJhbSvozo9/fTTaTsMmUgRTyTV9WfOnLk0WC3+07499tgjlW1wq0qndlStjdVzp+r/lGHWUQtXFg5sGWKCMbaJ1zRRtpIVV1wxJR5yv9y7fgatt7r+oH/n2csWeIs58DLRlkmRNsCdC48+bkHP4odVWgsywyT6kTbaPsd2M6uttlryMtDGfo79FpvMuxbSiK10crbi9EXpT6c6lg6LjyUE6BnIt77unQcJZbIqxhQLjvQl/ZzQmcR9G3d6rQO5l67l5bNrmj/MS56xXl+v2t7y/03qkrdaUldjKxG+QYwJ1XwB6YcJ/GlStwlcZlyn1u1brQqfSLv0Y+OFd3suT6bUxQCfsIjuGdO3td+iPP3LMzYR0e+MmTgM/YsOOW0sY/5OO+00kWLbnjsUBBFY9p7jknfyySenPeTatdgEaKNuVhYdzqqEZB6UCIkyesX0y9dvUr/yeZP12URuCwKY6oxBEF97JyiZEsV41REDg9hBr1Ziz0GbxFNSDSjIQdlyi0SdeOKJyVrJ+pEnLOc4HmmygmShY7vttktur0is71w7W0zqloMYyn5aFdtUVIWix+pp4q8q3dVj8/8I8i677JIIUKuVr27tyOUMyztyaMHKooN7aaGBUFLEj3rpD2WssqVnv/32Kz72sY8lEu9ZZT3utkg2LLjVaQecnnzyyUK863333ZfmhxNOOCGRojJOxmkLYwsWLEjWc8+2hE/GwKZKLCWBlO9Xnboui2OM748++miKadbeI488cglB7OfYry/Pnz8/9WULYxbS2hHETnVcFhhNpWtkhZTXhdfVV1+diIxtkZDEslByHeO+W/QzXtN5LAJaXDKW99JDw7jG68RzZ3HU84bAIovi0C2C5rGuXM9+fG5aF3sTf+lLX0rjsUUUzzKiwjvGImgvCWLTuvUDn1ZlNulbrc6fSLtcWwjK2WefnfrmZBHEphjwvOJNhSR6/uh0njU61a677rqEJFqo0Z/yIk0r/HxHV8JT8lziGbbwTz/3LFug79ei+VAQRNYLD7OVBgORFPlZIa6Czl1OFkcTPtZtRUh6fQNXP8ih6zepX7W+k/E/QiFTJgtUNXnIZNRnVK5pAEAM24n+yV20LFaIy6vEeRDR/1nhWkmdclqd1+k7A1hTFxADn1crqdOOVudNxe8M+CxXt956a1plRJyNRyYOE6QxioXZ9iR50cBvDz/8cLLIULJMEpT+RYsWJdItxjNjOBUx6WWdLeZI2mRRhbJq5VXCJ6uxrOF5roDvIYcckhYLH3vssWL27NkJ86Z1QTStHlO+Oz3PTcvt1fGsNnvuuWdS0rWzLP0c+y1OuS5Pg27SqY7dzh213ymadAwL3z7TcYwTxpWqWCyBP8XUwkDWeZwj+cXNN99cfPrTn+7Z2EFZFjrhOZg1a1bSu3hJUPrPPPPMZLE+4ogjGs8d1XbV+b9pXYyf5laY5nAK+wpbkJM3oJfStG69vHanspr0rVblTKRd3Cfp84w5++67b6vil8l3TTCwsCVzPAPL8ccfnxYTPIcLx5IMWrjRp7TFu2M9t0heJ7EQweMl637OxXGU79myoOn5/eQnP9lz76EpH7DCesLFzqoUwAVrWg1rJ46jdFFmKWEmRKtm3P76IU3r1486NC1TB2RN5QK4rFb3mtYxjg8EhgUBK4xWHI1bVhiNS4Q7JLeUww47LClzlGsLN17ZSsiCbGXVM+s7irVkRyaMkP+HAHwQRKu4XHJYUM4999xEzP/fUUU6xpwA9/FYCHioUGiuuuqqtMpbLnuQPsODK3LVHbnfYz/iUnchqV0dBwnHQaiLRTbx3OLXWba477cTCrtFEvcgL4w4ltXQQgr9iEJcFjqMsaiTsBQhndVzLdpbhKDcKod4tiw8I6cIAPK1LKRpXVhl4MnzwMu4younHTkcFpzK96JJ3yqflz83xTyfZxylp+uvk+3i3wQDbvsWbs0d2XrPGKXPeAbuuOOOZFHUTs+MBRvzf6eXY7KVkSUSLp5HegKPIc/TnXfe2ZfnqKcWRA8Is6oVVGJCprAYjDSIi4Ebb2X1b//2b9OAkr/Lk4GHks93XTGgcV1hDUQUrQ5bSbNiXHYLMnhZucqxilYn3EwTljqqq5uknj6rp2P8Nh5FIde/bv3y8TqNeugUOpRB1AqD+lNc1EW71A12zN++g2durxUL9yCfRwlwTHk120Derr3KYrWwCq4TVtvvN9f27uFRrvuWVyO1wfW94GgiUkZeAdFWHV4bcn/QDvexVXsyNvEeCAwbAvq71UYTKZer8rNmnEQAq2JsMMYZzz71qU8tIZRWu600mqCuv/764jOf+cwSi2O1jFH9n4s0K4DVXJO1BbB/+Id/WMrabhwzB2RrbcYK7jA3R7hvxjNjZSZZxmj38pJLLknjo2vlY9qRojpjpWO4iyvf3Gjs5KJnnHd9L/Nn3eNye1q9K7PfY3++Ln3Booh5QP31fXNcnsfyca3e68xxrc4b9e9gzmpBLzG2sJrr7+6538zj7kVZ3KMXxtzfWYBbLRjrj3Qpuh+F1biVxfzObd41hCHk8Y13i/heOoby119//XxK396b1kU/9PxmRb9bxYYFp27tbPJ7U8yV7dlGhPQN7rzyK0wV8VxZnOU+X36O6MjGafODuG8u9ojd9mMhQU3EIoXzv/CFL6TYcXO+sunadPJeS08JogmUciKJhknUqpZVb5OjwYP7gsHJCjgXKHEhgixNxAYnHUMSjbrWPCQHmzZ5HnzwwcXtt9+eVoa5m7pGmRC5vlVjL0BaRVMfN82g5mZmpctKPJcvAxt3Lyv45Ztd9yY0qZ8yYWA1TaZK1xeXZsLUHsTWQDV9+vSkJEhaoS18kcWcWeky6FJcDFTcSOyRgnQp12Qg/k2cgcnAgN6qvVzVbIvAXU1Mp5U+yVCI+0Mxcc/gx2LrPlNaKF0UIkqKrJrIOpEMwTk2R5coxQRk0NAP9BMKl3vuPIlV1J1FN7cnFRJ/AoEhRcAkyC3Uc8xq30083yZMz7dnylhVFrEynjHPNg+AuspNuYxh/mzBy2IijL785S8XX/va15L1xH6h5QWsMgYwt9hmcqcoG7+QGmUZ8yi+Jnv30hi2cMydyLzCOmJuMp9RxKti7Ow2VhqrjaVcicxh7rdrm5uMnebRffbZJ5Vvjuh2HNekdnOZecL4a9zv19ifMUB29WMKlfkEpuYe81snC5jz68xx+TrxvjQCYj69xILqW/o9q7r7oD/qy2XLorP1C/1B8jTucWWSiBzSwehSiGF1PBKmIimae0qXyeL+0x+aWJTzueN9H09d1JMOpX9qK6JLz7KAVJVhwanaron8Px7MjW/GWeRnKs1f9H3jp7m8urhoEZGerC/RnRHE8QgrvzlFXzQfmBuUSb9vZ9kez3XyOT0liAYAK9gGCwoKgpOD0L2blK3KaIxB5ZprrkkxIAYQhEVsIPDqEkQTpIGNlc9EjYxYlTKQmUC5a2WxciUjJ6sZAmZlwuDogVeOulx00UXpJhq4POwGB2TSjW83qebyW703qZ/zrQIgzWIBrKDoCJRAD5l6cFvy4CBjOiB8HXfxxRenlTlEjiJzww03JFLGVx6pO//889NmmjrU0UcfndrLT7pVe+HJJcRvFCKKTxYKkHvk3sEOsRYoy+0CYT3ttNOS8jJ37tykPM2bNy9N5mINfDaBuCfugfvDd9qkBGeTlHZSckxeFKq99947XzreA4GhRMCCkOctr6h3a6RxAAExjlrIqVpbEBPKGHJCAZ9KE2y3tvfqdwuHiIiJnJup8YaLXdm9t3wtmEtkZmwWl2jh0zwljkpSNAuIf//3f5/GSu6+5j7zhWuwjFB0WomxrttY6drGamM8JcOcoq8YLykj55xzTnLD+sQnPpHclLsdJ3GJRcJWYoHXmN/PsT9fV9254mqT+vhsw2fzl9iaMpnI5+T3OnNcO4ttLmNU3+lB+rmxwVxOV9pxxx3T4girBy+GqhhDZM3++te/ntwsM0ksk0OLK5Ka0fHKYk73KovFYHoGS4sFeDkgloU0rYt6GiMsltMJ6T/ekWDPedlSqv7DglMv70VTzOndLGR0QoYC2E8VUXf9g85t8bAsFl1429F36fXjFbq/Z4zeoEzPsQUbc03mWuMtu9V5S/sStDqi4XfcEBAxE6QbjQwQE5sHjkXKBIf1spL5zsTk4WJhajd5VavhJrCQKTdnN9IZWdNMvFbl3Ywsbg5gPdSANYFklxZ1NgBajXWD1eWMM85I2da4cDm3qTStn/KRMQ8FBcQqKQJGIaF8IHvqSzFBgikEiLUse4glLBBZMZgsjtqEROqolBS/wQQRR77atfdzn/tcyojI+lBWPp3PYmkiVz8kH44GS52T0uU+Wv3xoLg+vJH3aWMxP6yIVsuJdmgngpvbKVD9qKOOSq7BiCwSGhIIDDsClA4LW0hEOyKRMfBcef5Y3ylWrcbK7PLtWMpNSGsEEEJhCMY5q7AW0ViyjEdl8b/FLJZGE7GVX3ObOUKWU/OJhS7k0XhLUTbm+ozkGBfbzR91xkoWYeMr5V255laklIuRl7HdmG8urXOcOaCdqC88+jn252ubO7Tl3/7t34qvfOUrxT/+4z+muYIFFt7tpO4c1+78+L5Icze9xkI8sq3vW+ClE7EqthKWZ8mwzPEWsPU3OgdjgD5vwbgTqS+XiRhaiKAX8DDrh2Jbvl6nz53qAg+6Kl2HR5OFIHWF18KxRbrqWOE6w4pTJwyb/tYOczrzK6+8knR6+mO3+bDpdft9vAUTlmZGp1ZjvvblY8ZbF4u/xmfzkDnM8/PZz372NZb78ZZfPa+nFkSFA4c1j9uguBoDAdcRpA1z5vpJ8qBgZVZHwIwRHyujdcRAZoCywoqIsKR5YE2oboRVeddH+uqIG2oCpgR4yE1gZRfVXIZrIGTVVQBtQIYyqRpv/dSDcsGFwfVzedposNLBvGcxiKmr+nhZUaBAIpIUTwIjRM55CDDp1l51KFtNnedeIuSsxFncLyu+FFLlu69Wqa0MU4C8XF+9y4RdP3EN7XKONhAY+iw42X3M7c/Xi/dAYJgQ8Hwgia1clqrttGr4/7N3H9CyFVX++I9/9QdKUEDJ4ZEzknN45JwlSxBhFJQBwZlhGGZQGZcO4gDikrREkAdIRiTnnHOWLCCggKCiriXi/N+npJ7nHTqcvt19b997916rb/ftPqdO1bfS/u69q4p3yqJ9Y2oz0a9YYHlpog81Q6lI5IrSh0gzfp144okpGqJ8h3HPmGrco7QYt7L43/xy2mmnpaUVDGediDG5k7GSAp43bDAuMiBqB4yZSK55V923u65VHvO43M+x3/MZKfM8Yi6CI6OhtaH2Edh0000bZrOTOa5hAuP8S/O0ccTYYMkJks6TaGkQoz0DMR1NnVSFXiSqR7TV8ccfn8YsEQudkEP1Z0MuBNOuiwxdIyXt8qI/02PpMoR+CANj6s9+9rNkKFf+qow1nKrl6+b/VphzJmmbdNqq17mbZw73vcbm8vjp+QxbnGHajle3wijj1W/5x2zXwychDaxTwgpZNw3+JmGg5XACnQgTNtA4k8qEIERBSGUdQYJ4pFi0hDlmQSyQPORRmJX0Gg12+frquzxWK7d8DcVLmWxwUBYDidCL/Kxe5w9pMnkjWmWRVw1O4+N5M/DDn2exHB7qHvdXFdF25c3PkjZsKSB5wPSbzlC2HCJ8Jn8TAKWFAvzC5LBYxLpOx5AfaebrfQ4JBMYqAsYThpM8bjQrJ6OU9WWMLbanb7WRl35uQjIZ63PRhxqjChfjtiiNr3/962kNO69s2TAIQ4Y2ymEVc+Oe65FIERKdSrdjJe+luU4dax/NpO51ze7vx9gP+3K7tLbGvNUuBIsxpdM5rlm5xuP35mLecMRGBJKxgpHBxkqWptitk1ea8aORqCM61fe+971kjOdFL/eXRvfk7xjNGWJEB9FPkE3PHwlplxeeIH3KuFzWd/RZ5UVkRGM1IojKM1Zw6mXdtMKcXsuhY36bOHnjFno9MT+ay/zuO/VBBx1EkS/klu5KHy+L/CtLvqb82yB/7kvvREIMIlygQhcQKp3NJgyZfJlcDRI8RryI1lkgdbZqFmraauBgBXOtTmwdTrkD80L6/rTJVl2hKmLdmw12Q6kYk7GGXlUIKAmZAI1U/pRb3nKnEspZFvnSeIci0lTGrDBlop/T0omVn6WdRVLIFUukCYQiYEOakEAgEJgaAaSDJVDfbSb6lk1pKFdCDb1aicnJOCvdPN62un48/2bC5rniPbGG2i5xyEr1/Fdjn7GtLJQVCgHyOBSlBfHsdqyUB3MpxbWV1L2uURrDMfZnLLVZhLaZ9HOOa/bMsfK9+Zk+hiQiZ7nN8tbQu+gLl19+eRprGulM9AfkjodX/zB28QZqfwwVZcJfxUwb4ol3r/5GNzA20VeMb8PhDcl5qpMXEVjOpUX0hPHlCCd59pkhIy+fyunm97GCUy5PL97bYa5fM/wwAHEsZNHeOBn8Zg4UQdGPzVjy87p515+MXdqH8pZFm/CdSEP9ZbRIXwiiwtsExoJnEyCrlAOJy5OuydbgYB2I3yyunzRpUnqVN7dpBKQYZh4q6fHaVYWFx0BoMLpxcqy4Tt6NopSJnwFQBds1zquZDHf+cj40ThYtoaB2HTPIU16IBsrqxZIhtKlToYBQnJBu6cM+p63h53BWSqxDqA2qQlhgBr+MYafPjesDgbGMAAMZxcxYyHjTaJxCXmysZeIRdZGVlWa4mGxNVjkcsdl14+17YxBltGokM7ZZky3KxaYvPAO8KMRkbtmC+jGuwzaPe8ZS3xtzzTHEeJfHvOpz0gXv/5EPc1M3YyVDACWVos4w2kzqXtfs/uEY+81PPASWKVjf2Uz6Occ1e+ZY+V57pIAbY7TpshiHhFTSq9RFVXxnTwnRWtqDKAb9hTfSmkR7JDQjie61xEjEF70BQdRHkCyRVtpnO6NXNT9D/b9uXjggOC6MC5wQeczNBgrtsGqAl6exgtNQ8dXGjG3wynNZHcz1eUuNtAnLxbJYkyiCwTjn+7IzKF8zKO/KyykmqoQjpSy53ZiTW41v5XsG4fP/169MGOiFlhoIWAEMQAaWLNzJlB4NCmD77rtv6og8jVVLbb7Hu8bGkiDcEbFsJMip7Zp5D63ZsRA7S27A3sukJX+vcRuwsqhYCgNilElQ/q3Re7f583yvKqlqlr/8vesRY9YV3k2WcGWn1OhkCKMNLjK2+b5qeZVJWvl370T9sTSypAtFEe7GEglj6xdsjEOR9b+6ka5OLS/whyMi6UWxyulXy5nzk/OQHh5/2iKgzRqUmlk12yYQF4wIAsgFxUq9sZRWRX+xsQjlyu6DVc999Xp9yxjKkCXUO+QfCBibKchIXVXUAWOljV5EwORxD44MajYHYHA0l2Ux3hlfrQUUqkqQR/cYJz1L/eVwqXyfd9/XHSvzffLvviwUdEY/ZNZ8l6XOdcbXPNZ6z5LHXd9lDHo99ntWfnZ+rjkjz+l5C/hGeZSXunNcTns8ved5Fb7leoUBpd14IzpL2y0LrHlxGTqqCqwxpUwOrTmky9EHGMq1b+sS1Z90ymJe4hESQeQzBVkfMp4xJnv33OGQTvICp0wOMymBLdzoNJZITZi8yU5ZxgpO5TKVP7dqW65T93RCy6/yOFkXc+3JZpOWmZVfNp30m/XKvs/jbDlfw/m5HQa5/9B5y2O1ucD8buxq5J0fzjJ08qy+eRBlQqWySokrrlqIAIiwmHyxblYCYQYmW/83EtYFA4owiBzi6TthPll0UmKSNkDarIaVa9ttt00DkQmdAoXssV5h+wZOk7XOL68GQwv+NUzPsXkBQiQMQ1hsM+kmfyxwCB4riRclxoALF94AHU+eNTr508h0SPmmXCJ+8gpnIbo5vxQHCo/GaeL1knaz8sLMc5BK5eHaV1cmZnXJM8grfMghh6T/M87WMdjtC5mWX+TfZODZlBgYqzvkXidSD8pHkfI5K8dCO5RZWdzn2lbhxs3qYrx8TxlUX3DXLliGWTxDRgcC+ggF33berOxlo5f+Tbmys6N6rbOhg36j7yKSQ4kUGB2odZZL45ixnVFS6Ls5wbifleWcGoX3C1/4QhqXjGGEgZOh03otnhLGMb9RGo1lxmNjd95whWGUEmBHVOF3xHeMlmVBJJHSdmOlPGUxxjuWQHrGU23G2C9c0HzA60HaXWfMgIfxlVHJGG8s5hXxfz/HfvMLT4H5RySKcmjnIn58Nr+qm2Z55LUxD7Wb4zJm4+WdAqoezQMMB+ZTIZ3E3C36h1jmY5yhxNv3wW/wd7+5F750sLJoKzdO9nZrH5kc5t8zSbzgggvSGl5HbZnzs5jbrW/0PPVKFyP5mRR+55IOh3SSF31YPzK3Kr/+bmzVTo3Z9EnYlWWs4FQuk89125a+Te878sgji7322qv4xje+kXS7odS/cU071lY932ft2dhn/BhuqYuBeZrOzTnDKUMnhot5R5tn5MUrRot8ePLi/K83yiySosGb2IZaIISPcq9CnbVjss2i47HIGsh4lyi3QmVMds0IIvKG+Jjope16k6yBKwtrlnS9EEd5N9kYtDQ6FSUfuXN7Z+XgBTPASsu18mywlDfkDPE0mFWta/m53rvJnwEcQaR0GOTlQV6Uj9WCB9OApTw5f7DzvYan47gfsaWsaJSIlo7F9S3cM1vH1Wuz8sJPHmBMiRFiBQcv9UIRUaeejTgiiAZLDZ+yI28megqHARleEycvOpZH18vjhMmWN/UjnMX9uZzSZFV0vw121A3LfQ7pKmPd6LNOTPGAEWI5HoRCZ43v97///eK0yetuTcJCeMaKaPvaTnnsGM6yUQi0236Rbv2F6POUEP03l1Uf9nxjsXGxTBYaYQAn/Vb/1ed61Q6M1ZR5+WNgKhvkGuVj0L6TfwquMiB0xntjC0UvE0F5hrvv/KZeLHXwnfKaB41JSBgClZVwGCMrOZwKRj67xrxhbGuEmWvqjJUUDPOWCA3zkzmPIp8NaZR8L+lRYOtcJz1txFxo/EWUjfPyzojXz7HfbuXmVnOT8V+ZlEVb57HJBpJmeTTPmROE1Laa4watDdbNj/5ufjZfdyIMSfZxoEcxiNCPzKfS4qHLIcjq2hysnuFPv9GWGTRcZ1fT6hopaWgb2lkjXZBuoE6NP/qINpWFUk9n0z79nl9+lyadinHZ753IUHDqJC/wMzYgKPChe9GZvDMIWT5VzfOg4aQd6FukG2Nh3bZlrKQ/ekeSzFedYF6uf8arK664YoouTAdUD9pMuyiacjrVz7nddDqf18VAHzKH4AvmCv+bv31meNGvB8nhYY6i32gf5X6bcfvQ5A47dUzA+7/w7plADNrVePV8c513QBnIVWxZsuJnsqbk6mwGJuRg0ERHUw6DhsY/GgS+Jlnk2IRQVoS6zb8mwwtL2VJnOkFZ1CnM1GVWgA0c8mKCqQ6s5Xu7+WxQYbkRWscgMV5EXZ9yyilpN+D99tuv+O///u8xUXRtDOmnZGvDIyH5fDxr0/olyikknDLiPFBGIWLcNDZmQtNuYnGtdBhJpENp64UgDNqXvnvQQQdNMa71Iu1BTMO4BvtGE6Z5QH2ZB7TJZvNBnjO03VZSZ6ykXHzrW99KCpIzEHmB5A+RLY+lda9rlZ92v/Vy7BfJIoIEzo2wbpeXfs5x7Z7dr9+NN/SuE044oV+PSOlqn8YJyqtxhSHXuFNuT33NQJeJDxdO9BZ6BfKHCDM8t+vTXRatZ7cjs1dffXVKT/h8SJHWfOtf/ZzP4WxcR7wQdPoxj3T1VIFBqA8nPSDx2gfjW1X6GmLqYcCpEgjf54EIiWiUMdcMirAgjzarOXz7pVRTigySzQZKEw4yXZahKgHlNOJzYwTUNQNM1QjT+OrR8S3LNiMVyzYjVb/a8iCgoa+w3BsLlZlHSnn9jwTUEYoM6yijEG9+r8hhnWePtWta9SNzWZ06qTtndDpWahNVD08j/Ote1+jeVt/1cuxnPMwGxFbPbPZbP+e4Zs8cK99rn9bReYU0R4DewrvSjQeueerxy1hFwLjO4JKNvaO1nH0niKMVmMh3IFAHAZZYocW8DpQdITwUFyFUlPWsxGTrEQ+E0B8ECMFmBWed9M5C6f7slWCF4hWSttAy9wojY8V3XX5Wq3xmiz9rlnQov55TJVyexTPiJW8UTNeViT6Lv7L6PZNSXiV5I3XSqFN+6QsHtHbB84RdyofyjjZDTau6Kf/G6y1syboyHjvr3uqGVsNduJiQbqE9XiFjBwGRF/queva5mdS9rtn98X0gEAgEAoFAIJARCIKYkYj3QGAICCCCFuDz/FifaRE/4meNpU0qrMUU786Fj/jYGMmObsI/rL+g9NmExFoc65l23XXX5FFHxsS9W7/hGSyYiGVei4pA2EGOBRhZayRIp3StNxJ+hohSIq1rEgtvvSJBcq1J8TxizRYi6ixT3iwkEHG0uQePnnBl6SCfyrDGGmvUSqNu+YXPwcS6MaRQGASi7DljeWdO64SQbWSecQFBryPIgzqxlqeb5QB1nhXXDC8CQjCtE/GunwsLZDRh4GGlzlL3unx9vAcCgUAgEAgEAq0Q+McM0+qq+C0QCAQaIiCEADHk7UKsbARESUdmxHZbu5U3CKD0I3hnn312IlQUe2saLOa2/uz0009PBMiGJJRAmw44H5TXD6GWgFtNAABAAElEQVQUiu16pE8MPfJ5xBFHTCF61QwiGnZdRPYsrEforN046qijEuk88MADk0fOs48++ujksTr22GOTN/O4444rfEZ2hSwqi63MbSJhR0ebqtjNVoy9stZJo275nfVny2vrSSnFMLXT51DWKVUxGfT/kcK6xDCXBam0xiFk7CFgTLEO106PIguMGYxMvOplglj3urGHUJQoEAgEAoFAoB8IBEHsB6qR5rhCQPijEFLewCxCIa1VKq9novjzEgojRH7sarXnnnsmxY+Sb3vofH4QkokYIWbImDVqiCOSZ9dSxNC7M/IaLUDnhfO7XQ15C/MmRYgW4um+zTbbLOWBZ5JH0G+8hRTRCZN3mkUseRYRRN5HYYwOOrbezaYGvIuuIXXSqFt+5YSpEEt5seaqGhKbcY73QGAsI8Ag5NVO6l7XLp34PRAIBAKBQCAQgEAQxGgHgUCfEEBuvMrC6o+sIWI2ErHWjyCTPvMKIoHuy9ciSLZOJr5HLIUTHnPMMVPCQtOPpT9CMpFL3gZePh4GwjMpXJU3Ulga8T/Cicwiel6us15Q+CnJm56cccYZyZNnu3qe0ay81klDOrlM7crv2pBAIBAIBAKBQCAQCAQCgeFHIAji8GMeTwwEPoCAUErkz7rBTBA/cNH7Xwj7FNrqOmsDG0k+2BWBc/h03iQnX4uo5R0EkTVr+3gIrUNEEK17ynlxj7WOQj+PP/74dJyGM7F23333tE7R73XScF0zqZa/2XXxfSAQCAQCgUAgEAgEAoFAfxEIgthffCP1QKAvCNhun2cRMWskNoSx0Y01S8JNq+vahJQigIR30XpC5wMJO91pp50SWbWZThbPQjR5OnkRhana+ObQQw9NoabWSLZLI6cV74FAIBAIBAKBQCAQCAQCg4tA4+0PBze/kbNAYOAQ4P3yQriQsSz+L3vh8vfdvlvraMMX6xbzBjjVNHkZ7QDqkN+77ror7aCar0EOfW9to/zaLfTkk09Om91Yr2jtH++kVxYEEOG03pEX0W6tvIyTJk1K6xPrpJHTqvPOm+olD5nI1rkvrgkEAoFAIBAIBAKBQCAQ6A6BIIjd4Rd3BwKJqAnhFNb54osvJvLmTDrrCXnyrPXLa/kyiawSMEQN8WtEiBA6nsAsr7zySiJ4NpVx5p178v2ZoPL02dnSJjLnnXde2hRHnl5++eVEGB3LgfRJ19b58upexNM9dkCVd797PfDAA8V1112XyJoNavbdd990fIcQV7uq1knDmsa65UdS7VoKO7jKg81xQgKBQCAQCAQCgUAgEAgE+otAhJj2F99IfRwgYD2g3T0RqDPPPDN51BAtO4Da+AWhcwzEggsumA4zR8YQH4TNej9iIxnnHSJnvHt58xe/IXIImo1lbGRjF1Tp2+3TbqfScY+NaZA16QspXX311VP4p7MUhYIik9Ydeuaqq66aXtYiyr+Nc+TfZjiukZ5nKYNzFHkb77vvvrShzdxzz53yaqdRG+bIq81w2qXhukyc25U/E1znLjpPkij/oosumj7Hn0AgEAgEAoFAIBAIBAKB/iAQHsT+4BqpjiMEECrn9gnP5KGzPs/aQGcPOqpixRVXTB4wBI6nzfXIEjLH4+g76wCdMShs9JFHHpniccww2jzmrLPOKi688MIU2intbbbZJnnV7FZq11HnEVqbiFQhYMjbwQcfnNYUShfJlL+NNtoo5Q15RRAddu9sQwTPukOezN12263YbrvtUr6lj0QK+XSAvZBVJBVRFGrKe1onjeytrFN+19ip1XlvCKoyVddRZmziPRAIBAKBQCAQCAQCgUCgdwiEB7F3WEZK4xgBRMZh80IuhUdaAyik0qYv/s9i50+vqri/mfDquWeppZZKYaC8a9Y8EpvHIKZejWSFFVYolltuueRxFKrqPEFEsCwLLbRQcfjhhydSymuInBH3uSdvhGMXU+QR0fV8z3Y9qZOGexDjuuV3ZiSvJxzhGRIIBAKBQCAQCAQCgUAg0H8EgiD2H+N4wjhBgEfOKwtvXq8EEUPIhiKIWbuD5nkShYyWxRpAr7LIh1DPRlI3jUb3NvvuYx/7WOEVEggEAoFAIBAIBAKBQCAwPAgEQSzhzFNhfZbNOXgsbKjx2muvpXfhbXaFFGZHeFJ4i7xcT3F2TVnJdo21YjbX8D0F2uYfQu0o+66XnmcKEfS86nNsQOIZ+T4ExDVVhd8Ok9KQF4TAdTw/QgtDRicCeXMa7cjnkEAgEAgEAoFAIBAIBAKBQKDfCARBfB9hxMpGG9Zg2RTEmiqKuTVX1ooJd9t1112T98SOlDbvsC6MWD9mc5Fll102bQqCmFHobfRh4w8HkAv1QwpvueWWtGGJnSCtT0PgbP5xxx13pM1M1llnnSnPQRg92xosZ84hq9IV+iekcM4550zPRyDvueeetE5L+KBrEEtlsC4tZPQhYA3hC5OPkfCO8FunyADAMMDQEBIIBAKBQCAQCAQCgUAgEAj0A4HQNN9HlafvzjvvLM4+++y0FouXz3qpxRdfPBG6008/vZhnnnnSzpF2pLTezNqyY489Nnn+jjvuuPSZ53GTTTZJXj8Hj5977rlpIxLrthBI6VH0bTiCAKy11lppTRgCacOSU089NXkIbRLCa3jRRRcl8mlTEqTvpJNOKo466qi0i+SBBx6Ywu9sInLOOeekTU5sNmLHSYeW2xkzCGI/uk3/02R0cLzDBhtskLzM2iMDhrWKQRD7j388IRAIBAKBQCAQCAQCgfGKQBDE92te2CYvod0Zb7755rQD5J577pmUc16+I488snjiiSfS1UJCeemcQ8dbKEx0woQJicjxLCKIdnaUnt0XEUE7Su6///7pWpuOII8InF0g7SpJEE6bhfAWOpPutttuSx5H3sK8sYhn2iXzpptuShugSJdnkZfSUQvCWXknN95445SflHD8GXUIME54hQQCgUAgEAgEAoFAIBAIBALDiUAQxBLaPDOIGNI3++yzT9mh0a6R1hg6X44Xb+mlly6OOOKItM4PWcxrCK1hzAeiS9YmJdKzK6TQwLx+Ufo2+nB9ecMPm3F4Dm+jF88grxEiyaNEeB89333CD4m8kjPOOCNtKsIrOf/88wfBSKjEn0AgEAgEAoFAIBAIBAKBQCAQqItAEMQaSFkDhtxZE4ggInjCTXntrENEEHkJ8+/tkkQCkVEEsSyeI31rHx2abv0hL9LOO++cPJLla92fjyNYbLHFCkcQHH/88cVhhx1WbLrppukoASGtIYFAIBAIBAKBQCAQCAQCgUAgEAjURSAIYl2kStfx5lnjJ0zUOXc77bRTIpA2uOmV2DTHzqTWngk3FQJbFiGuCCmx+Q0SydPJiygEVZjqoYcemkJNY81aGbn4HAgEAoFAIBAIBAKBQCAQCAQCzRD4+2nbzX6N7z+AALJ24403FieffHLaRdT6QGsHef68eiU2u3Gshp1Q77rrrnR8RU4bOfS9zWiIXVeRyV122SV5Ea1r5NGcNGlSCknN98V7IBAIBAKBQCAQCAQCgUAgEAgEAq0QCIJYQodHDgGskj3fCfv0PSLmyAHrEX1v91NHXNhxlNePx89L+KjfG6WXn5PTzVnI33uONYuLLLJISvu8885LG+e89NJLxcsvv5wI46233pqIoXsfffTRdJyG+21Qs++++xabb7552kkVeQwJBAKBQCAQCAQCgUAgEAgEAoFAoA4CEWL6PkrIHQKG+Nn8xWdrC4lNYqwJRARfeeWVtEGMzWeccWhHUmsBefSsLbSLqXMLrR20u6ijK5BK6UrDfbx7wlQRySeffLJYaKGFEvlEPBFOpM6zVlxxxRQiev3116dw0dVWWy09S75WXXXV9JI/5BRhtHnN3HPPnZ4zwwwzpJ1T/R8SCAQCgUAgEAgEAoFAIBAIBAKBQB0EgiC+j5LD5hE0ZA+5s0EMcsebh8ytvPLK6VB7a/ucRee8QYfeW3e41VZbFc4tRP5sWmP3UcTRDqRkiSWWSKQNibROEEGcbbbZUto2uvFcz0Eol1tuuQK5czzGmmuuWRx88MFp/eEDDzxQeM0333zFdtttl47SmHbaaVP6djS1ic61116bzllEYhFDR13YUCckEAgEAoFAIBAIBAKBQCAQCAQCgToIBEF8HyXr/Xbffff0qgKHEFaFt86RFryGeTdR5M76QKTMjqQLLrhg2jymeu8hhxxSeFWl0a6jNqeRLs+itIWeIqJlmThxYrHOOuukMFjHY3i2jWvkLSQQCAQCgUAgEAgEAoFAIBAIBAKBuggEQayLVOU6O4Py9JVluummS+cQlr/rxWeEDzFsJn4nCGH5XMVm18f3gUAgEAgEAoFAIBAIBAKBQCAQCDRCIDapaYRKfBcIBAKBQCAQCAQCgUAgEAgEAoHAOEQgCOI4rPQociAQCAQCgUAgEAgEAoFAIBAIBAKNEAiC2AiV+C4QCAQCgUAgEAgEAoFAIBAIBAKBcYhAEMRxWOlR5EAgEAgEAoFAIBAIBAKBQCAQCAQaIdB0kxobn+SzAe2eGRIIDDoCzpp0RuQ000xTPPPMM4Oe3cjfKEDgrbfeSrsVj+f2pF+ZC5zn6oge57mGBAKBQO8RMN44H3k8jzd1UA2c2qNkR/s8Vkd7+jte8Ij+9Y+24wx1R+w1k6YE0VEKGpiz9T72sY81uz++DwQGBgEK7JtvvllQaF966aWByVdkZPQi4FxTberCCy8cvYXoMueO2HFOrP51+eWXf+CYnS6Tj9sDgUDgfQSMN2+88ca4Hm/qNIbAqT1KHDvO8CZ//OMf298wDq6I+XzqSjbWzD777Okc9al/+ft/TQniX//613SWnjP4nMUXEggMOgKvvfZa8dhjjxXOtGx0duWg5z/yN3gIvPvuu8nCtvnmmw9e5oYpR7/85S+TsdB5rxtssMEHjvcZpmzEYwKBMY8Apf5vf/tbMZ7HmzqVHDi1R4lh74EHHkgXOic7pChiPp+6FTz88MPJy9zMi9iSIH70ox8tFlhggWLeeeedOtX4LxAYQAR4unkOZ5tttmLJJZccwBxGlkYbArfeemvySI/n9mTysORA6PYiiyxSzDzzzKOtGiO/gcCoQCDGm3rVFDi1x0nkiyUBZDzPXwmA9//cdttt434+L+PBw5y9zOXv8+fYpCYjEe+BQCAQCAQCgUAgEAgEAoFAIBAIjHMEmnoQ+40Lq/R7773XcoFkzsOHPvShZMFmxR4k4a4WDsKyPugiBv3Pf/5zMeOMM8Yaoh5UVrP2q416abONROi2uvC7uggJBAKBQCAQCAQCgUAgEAgEBgmBESOIlGThgK+88kraAOHDH/5w2gzH5jiEAo6A2XFouummKxZddNFizjnnHBjs5M/OUK+//nqxyiqrDDRJtAPhHXfcUTz00EPFhhtuWCyzzDIDg+NozQiy/fLLL6eXWH/td9ppp03tQGi2diwUzwJgoa95wfjTTz9dPPnkkylsO9aZjNbaj3wHAoFAIBAIBAKBQCAwdhEYMYJoRzwbivzkJz8pLrvsskT+1lxzzWLuuedOaPMu2jkPCeNt2W+//YoddthhYGpC3n7+858Xd911V/HNb35zoGO833nnneL+++9P+UVYgiB234wQRDtinXbaacXFF1+c2u9qq62WNshBGBlAYL3JJpsUvv/IRz5S3H333cXJJ5+cyPoBBxwwpjYi4Ekng+bl776mI4VAIBAIBAKBQCAQCATGFwIjRhBnnXXWYvvtt0/n1l1zzTXF0ksvXfzHf/xHsdRSS01VA0888URxySWXpFDOqX4Y4X+eeuqp4pZbbikeffTR4oYbbigWW2yx5EUa4Ww1fPxMM81UbLbZZsXiiy9eLL/88g2viS87Q2CWWWYpttxyy3QEwtVXX50MBNqv3VMRRN8dc8wxxVVXXVUcdNBBxb777ltss802yeN8zz33dPawAb+ascS5VEJmP/nJTw54biN7gUAgEAgEAoFAIBAIBAKtEBjRRX08g9bveeW1W9XMLrTQQmlrdTtTDooIF+Q9sv0775ydkV599dVByd4H8gFbxBuhmWuuuT7we3wxdASEk1bbL6IkfPSzn/1s2jHriiuuKISWqgdhqF5jRYQv21HurLPOSuHiY6VcUY5AIBAIBAKBQCAQCATGKwIj5kGsA7g1iEJRrT+cfvrp0yYrDna0LtGZXM67o3T/9re/TV4bn3kweHeIMFXeHOGArqfMvv3222ltWDdnOyKGztxzJhii+MgjjxQ333xzscsuu3xgcxKbkuSQwxlmmCGFGv76179OZeDZkw9EWb6UTaie75TN91mseeSpyfciGa7LHptWZZUWHHl5kJlq2f3m2d4RHml+4hOfSHnNz1cOz/eCozV30lEmoq6UwW8IknLAqFl5crpj9d26Q15y+MDMltOtpF39urddHeT0c32qi0xK1ac+VDedOvUpfaHLP/7xj1P74T1VXu1N+cvCqKKfwoLoj9Zouk7/1P5y28n9ul05yunH50AgEAgEAoFAIBAIBAKB3iAw0AQRwbCxis1phEZSMIXs8VjwLO6xxx6JjCBowlR/9atfJc8Noka55LVB3CjnQliff/754s477yw22mijYp999knKc6cwImLCXn/3u98Ve+65Z8E7ZAMY4abCODNhky6l+Lnnniuuu+669OwVVlihQApda23lwgsvXGy99dZJcb/vvvtSOjbtcajprrvumgiGdJAsHsp77723ePzxxxPxkvZyyy1XbLHFFumZzcq67rrrJkysf7NeEo677babZNNGQDbZgfGzzz6bvKGUdURirbXWSuGSCKPvrBdFholzU9y37LLLFhtvvHHyiAm5vfLKKxPWNu1BZq699tqU7/XWW2+q8qRExvgf9YMMeUd4Wnlu29Wv9t+uDhBA4plCWNWpjXI8H/lUJ2ussUatdBC1OvWpL6jjG2+8MZVRqLV+4TnzzDPPVDVsTebtt9+e2oiyrL766inkFkHUr4WRe6Y+pL24vlU5pko8/gkEAoFAIBAIBAKBQCAQ6BkCA0MQeZ8QPSGbFFrKJ+8E4rLjjjumAlOyEUMeCyQFuZp33nmTQvrwww8Xp5xySjH//POna5HCSy+9tPjRj36UCI90Kcu8j7wV0udd6VSky4PI+8FjIh+e+cADDyTyaVOSLJT1Bx98sDj33HOLF198MSnPSJW1gPIgLO+FyQeZImOUeQTSdaeeemryzmUix2t40UUXJVIGC/icdNJJxVFHHZWU6+22265pWeWVog0HeGbvqjzyKNpgBeFFtm1eY+Odww8/vEBYv/3tbydFH5k9+uijk/fx2GOPTYT1uOOOK3zmLZRvxPvss89OBATGCyywQCqne08//fSUjjWnY120K+QGpggRj9rKK69czDfffE2L3q5+DzzwwGRQaFUHud3pB+ecc0565t57752MJOpYP0Lc2tWldHi869SnkGUbSzHC6Ev6owN57TpcFYaRJZZYIhFB12szNvEh3hFcHnNGD0YJBo1W5aimH/8HAoFAIBAIBAKBQCAQCPQGgYEhiIjMT3/606QoKholm1Jb9bxQuJEcHqosvBAIW3ltFw/GVlttVVCYESTeOl5DpI0STwntVBAzHjwkkeeOIHs8fnZjvemmm9LnHF4nn7whvDmIIAK2//77J0V4jjnmSORRGZEzXk0iBBRB8xwir9Y48jp6Zj4GhCKOAHsmr0urslK+kRAkNot0eT55Yyn6FHPC00rR5wlSBwR5R649MyvyEyZMSISVZxGpUE5KPeVfOXlXKfy8kUceeWQiTCmxMfoH2VbPvGGOv4AD77HNafbaa69Ur42KXrd+1Ue7OpA+rztPOU+x+tPueXl5fEmduhQ6XKc+EX79UZtV10hg2YOeHlj6w7jjmBVt1lEfiKj2pD/pz/IsLJe0K0cp2fgYCAQCgUAgEAgEAoFAINBDBAaGICIm//Vf/5V2A1U+YW5IkbDKOkJB9SoLEkh5RTLzLqONFFghfogjJbwsPCGIZ05X2CrixvtHseXtcy8vJvKIiNrVdKWVVpqSjDwgddZceXZOy/2UYWu9slLsJuTS+r6cF+9IrvA7ZJLHksgDzNzLOyqfrcoqD2WPqXt4FCnnPDtZeP6+9rWvJTKS8+U5RxxxRCLgCIaX58u7cEHiGAfPUC4eIWUg8uWz8F8Y5fKnH8fQH6Tw/PPPTyRJXU+YTKB32mmnYsUVV0xe1mZFrVu/derAM7JX7owzzkiePN5pHm71SuqmU7c+U6I1/0iT1124q36i/QmB5tWEA0NHlnblyNfFeyAQCAQCgUAgEAgEAoFAbxEYGIKIvCA42fvm3Tol67d4KboRaZfJUTUtIZG8dNY3loUi6+zF7G1E0njMeGaEYmZBfpBQ5NE6LGGk+Z58TfUdaaIwI1llkU9EikfFO8+U9YcU/J133nmqEFH3SQMh4TUi7cqaLpr8h6dLvpG6sucVgeMJKgvSxyPrGdYhIogvTPaIIsfy2ErkR5r52rFKEBEvnlLvnUjd+lVPdeqAIYRH+Pjjjy8OO+ywYtNNNy1233331Cblq5u6dH+1Pn3XiWjHQl2FJ+tzjCnW3Up3wQUXnJJUu3JMuTA+BAKBQCAQCAQCgUAgEAj0FIGBIYiNSsX7ZP0WcsHj5b0fguTwDuYwvPwMz8wESHgfAsiz6QiDMqniofH9aZMPTbd2S7iscLpeiHTlDYkVjljdgVS+hoKL9JSP54ZXsqycy7dnKTsC6nfr2Kyn5OXhGUP0bEoT0h0Cdeu3bh0g9wwJ+g4vojBk7fbQQw9NoaY8xiNZl4wZDChzzz13WueKJPLeO4YFSczSrhzaZUggEAgEAoFAIBAIBAKBQO8RGGgtCwnJ4ZbWd/Eq8jJSJJEiJCaL/70yocvfN3vP13mGUFJn1nk1k5deemnK2i5exaoIH7Wxi412bpy8qyNPSVnhrV5f93+bwPCiCsezCyniCQOCHFrnxgvZzmNZfR5PkrMlEVppW/+V00UeERLYC/VTnpNPPjntOmkdJMzglzGsph3/10egTv0K4+W9rlMHCCCDgp18GVdseDRp0qT0Et6JkNVJp24JtIXcHuoaKhxbs/baayeieuaZZ6Z8an9laVWO8gY35XvicyAQCAQCgUAgEAgEAoFA9wj8w2TffVodp4BgIHnZW1VVMP0vBO/qq69Ox1ggQTY9sfmL760BtNEF8iZckjeGVyyvi3N/Tr+8qY3rHAuBHCFC7QQRsxbSMyjdjYTSu9pqqyXvoQ1KbApD8vOrhKpZ3vL3rveZJ2iRRRZJ3s3zzjsvbX6ivNa8IYw2maFM5/s8r1xWechp+c11RLo22IGXHVKvv/76FDbK+2n3Tes/hZIii75TdvfDm6dV+eDody+f/V4tZ85PzkN6+Bj6k8uX31sVDQb5Ou+kTv0KMa5TBwwF1vY5VkU926DGJjk83rx0naST21O7+mRUYGDRjvRJbSFvbtQMC2tbhZYilnZ7hQGDRVlalUN7DwkEAoFAIBAIBAKBQCAQ6A8CI+ZBROKsPULUKJWIml0weT8ojhRUSqcNWi644IICAeM9QxJ5GyjBvA92O0RarA0U9ilNm15MmLxJCKXa7zZUsWsiDwpFFME58cQTEykSeickr5nIp7Qvv/zyKSGovstrJd2X1xFSlCn+NquxYYndQD0bkVUuJMvaP+vJXpi8hk+ZlV3elI0yLs/KQwn2WSietZh2okTi5BcRFaqHwK266qpp3RvsGpVVfjwHoZRvJAG5o5Tns+iEHB5yyCHp/1wGm4fYvMb91lfKM8ztvurZPJc8jLBBKBEQ5VNnCKy8ERvrKDPM3cOzOhbCA9UbHJUPrsqH1DizELZVjy4jg/qBgbBe9QAvIcPt6pe3DflqVQcMGAi/PDEaWAup7cDeGl47y8KeJ7JdOq7LRpd29ZkJLg+/s0gJAqi/thJtS7n1Dxv5VKVVOZQrJBAIBAKBQCAQCAQCgUCgPwh8+OuTpVHSSA2FlqJXte43ur7T7yjUtrunVAvPRO6QJh4FyibCw4vldwquYyAQI4o3rwXFlbKL+FB+eST85igGm3kgmDxsFHFhfEiNcEkKOW+XZyF2NqLhaWkmFFjELOeDBxNhkmYWHhOhpV6II7wQAoq4ciKsnu8e98ob7yUS6NqcN6TK94giJRsuCIcz9KxzRNYo/HlTD+GeSChyhqQ1Kqu8IQ/yDzdru2DgRdFGTBE2z6aUI4jbbrttOrrC98Jk5Q8ZRGgQB3hNnDgx5dM9OcRQXbg/l1OajtJwL68vMqEsOZQ149erdyQKqYYpktNPUXeImLaqfcJV/agzdVctI9KvHqzjhJGwYfe4tl39anPt6sBzHVWCfGqHsNfOGR/c70gKu+3WSYdxRRo2JWpXn7zb+q6616fUPaNF2YDSqB5gpn3pk+uvv35qQ+XrGDWalWM4CaKwcW2cF3a8iroQhq6e69TteMUpyh0IdIuA8YbelY/R6ja9sXp/4NS+ZhmuGbBJp5vntU99dF6R2814ns/LNUdno99oH3S9qnxoMhlpuA0l5Zcy63w9iuWgCQ8OYkQRp5Qie4hXVTFvlm+dxz0UVQRnNIjyIRrIJ0KAgPZCNAFYwhRpqXq/PEPYKsyQPSSDIJ/ygpD1Yr1lSrSLP7xzwnsZCJCO0Sbt6rdOHUhDfboWWVQv6lS9ZamTTr627nvuT/piXdH/kGrEoyp1ylG9px//n3TSSckI8MMf/rAfyY+KNBmXTjnllNTPDzrooGToGRUZj0wGAqMMAeMNveuEE04YZTkf3uwGTu3xZsS2PIvYkyCkSPsv6F/jeT4vtwOnLojS1D44K6oyYiGm1Yx0+j+lsqxYNiI1rdLk4Wjn5Wh1/0j8RtlHDHstCDLFvpVyz9uDTJeFxaGR1aF8TXyuj0C7+q1TB5moI4SNOrzc1Emnfq7/fuVQ+pM+26zf1ilHp3mM6wOBQCAQCAQCgUAgEAgE2iMwopvUtM9eXBEIBAKBQCAQCAQCgUAgEAgEAoFAIDBcCARBHC6k4zmBQCAQCAQCgUAgEAgEAoFAIBAIDDgCQRAHvIIie4FAIBAIBAKBQCAQCAQCgUAgEAgMFwJBEIcL6XhOIBAIBAKBQCAQCAQCgUAgEAgEAgOOQBDEAa+gyF4gEAgEAoFAIBAIBAKBQCAQCAQCw4XAqN3FdLgAiucEAoFAIBAIBAKBQCAQCAQCgUAgMJIIOMbMGdeOpXPUndMc8q7vvc5XEMReIxrpBQKBQCAQCAQCgUAgEAgEAoFAINAjBBDD119/vXjttdfSmejOi/7Upz5VLLjggh84hq4Xj4wQ016gGGkEAoFAIBAIBAKBQCAQCAQCgUAg0AcEnn/++eLKK68sXnzxxWKaaaYp7r333uK73/1ucf311xfvvvtuz58YBLHnkEaCgUAgEAgEAoFAIBAIBAKBQCAQCPQGgQcffLB44YUXivXXX79YY401iu222y4RxXPOOaf4zW9+05uHlFIZMyGm2DN3K1ZdR1z/+9//PsXxfuxjHytmnHHG4iMf6R8cneavThn6ec0f//jH4s9//nPCRZxzyGAj8Ne//rVQZx/60IdSnQ12biN3zRCwvuC9995LP+fxyP9/+ctf0vjW6D51/uEPf7j46Ec/2re1CI2eO1q+y5h6J9ZrwKsq5o+Mff6t2bX599H83mzM6OfYrw6sndGeP/7xj6c22wrDZnlsdc94/w3GXsYFr2biGu3du7Gj35Kfl8erfj+vXfo5P8NV/nb58XvO06BgVM1zbi95bqr+Xv1fefR1Ulc3d+0g4yBvXu36l3J0ipd7Wgke8bvf/a749a9/XXziE58oPv3pTxfzzDNPcc899xRvvfVWMddcc7W6vePf+seIOs7K0G9QWc8880yKzV1llVXaNsQ//OEPxXPPPZeY+C9/+cukeE2cOLH4zGc+03JAHWoOO83fUJ/Tq/vEOd9xxx3FQw89VGy44YbFMsss06ukI50eI2DwZTl6+umniyeffLKYd955i80337zHT4nkhgMByvCbb76ZDFcG/k9+8pNpgjG23XfffVMm2mpeZptttjRJULjnnHPOtGi9es14/h/hMc7/6le/SkYveC2xxBIfMKQwGArh0Z9MxDPPPHMx//zzF3PMMceYgq/VmNHPsf+dd95J8+6jjz6a8FxvvfWK2WefvSG2rfLY8Ib4MimtyLe27n3hhRcupptuug8gQ2mlTFrLpJ0TyvtMM82UFM5WpPIDidX4Ql16lpfPnjn99NMXc889d+pjvX5euywNd/nb5cfvg4ZROc8MZ7/97W9Tm1FX8sppMMsss6Q2U762+vlPf/pT8cgjj6Q1c/PNN19DwxznjDFWGxxkHOjxdfpXN3hV8av+T7fDVfKc9PbbbyfCiCT2mhx69pggiAjfz3/+8+Kuu+4qvvnNbxZLLrlkFdcp/5sAb7755uLWW28t1lxzzYL38Iwzzkjel6WWWqovXsRO8jcloyP4wUR+//33J0xN4EEQR7Ay2jxaXd19993FySefnEj9AQccMKYIosGW9GuXrjbwDtvPyOELk0NH7rzzzmQZzIO9xeiTJk1KL5NyGYfs6dlxxx2LbbfdNq1L0FeXXnrptkayYSvYADwITkJzzjzzzOKGG25I88Nhhx2W+knZqm2cZhg7++yzE5ncaaedip133jmRmE6V2EFut63GjH6O/dry6aefntryqquuWqy44opNCWKrPA5AkxqoLGSFlFfB66c//WlBMT/iiCMSSSxnlpLrGu3cOqYcOfXqq68m4xLSjrj1Soxrzz77bOp3b7zxRhqXEFhkce21104hcnms69UzW6Uz3OVvlZf826BhlPOV3xnWrrnmmkQSGR0Y0rSdBRZYoNhkk01akkQGT+OpNqld0bfLcxhPpDb3T//0T8lYMEhtJZe/k/7lnrp4MVQgnNlIk59Xfefdz7gxWnoREX70dCRx0003bVkP1TTr/j8mCOJTTz1V3HLLLQXLJAVgscUWa2ipAMpLL71UXHzxxclTuMEGG6SB1A5AFIW6bvO64ObrOslfvmck31kSN9tss2LxxRcvll9++ZHMSjy7DQIGi2222SZNuMIMxpJQ2Fm6KTG8aWNVKC08V5dddlmyym600UZpPDJxPPHEE2mMOvjgg5OXMId7++32229PHhnrENZdd91kKLjpppuS13GllVaaaiIeq9jVKReP4S677JJCGikgLNoMKqywK6+88pS5ghV2r732SsZCfWn//fdPmNd5RvmaQW+3rcaMfo79Cy20UBqrbKzQTlrlsd294+13iiYdg+HbZzqOccK4UhXGEvhTTBkTs87jnnPPPbe45JJLii996Us9GzsoyzbQMH7vt99+Se9CGn7wgx8Uxx13XNqu/8tf/nJSgKt57cf/w13+OmUYNIzKeWaoufTSSxMR+drXvlYsuuiiqV3deOONifQhezvssEPT9oK8IFicL0hO2dBmbucxNO7aiVMbHKS2knHopH91gpdr9VsGm1YimkjEywwzzDDlMo4uEX5eDC10wH7IqN+kRgP7xS9+kcIqAH7bbbcVrGHNhPWK0qWx5rAKFgwLPvshneavH3noNE2dXofecsst++K27jQ/cX1rBNSXs3C8xooYAHn5zzrrrOKVV14ZK8VqWA4WWRZa4xaLbPZqsRAK49lnn32SMmcSYLjxyl7C5ZZbLkVCaAO+o1ifd955abJt+LBx+iV8hOCyek+YMCF5UE444YREzMuQuAZJgruJuVMZLe222Zjh+36O/YiLubeONMtjnXvH0zU8DKuvvnpx6KGHFrvuumshlK+ZICOMJOqgvA6Xd4chhX5EIS4LHcZY1Ep4wZDO6r2M9owtlFvpEH2L4Rk5ZdC33Ge4ZCjlb5S3bjCppjdoGJXzZ+kKQ6SxkPeQIHmLLLJIqtOrrroqeRTL95Q/I+SiBRgeEE2Rfl42VfnP//zP5Dk0r+nrg4pDJ/2rE7z0GfiY/1u9XFP2Mvps2QnvoWVxjJ++c12vpaceRJ1GrDILKjHZUlgMRgYYIQYmUB4BFgMDSv4uTwYWXopPrysGNKErvIGIIuswSxrQytYKz2K5ymsVWTZUpglLHuVVJcmnz/LpGr8NRVHI+a+bv3y9RiMfKtugahBlYZD/8hoBeYMd64z8wTOXl+VQHeT7EAfXlL0wBvJm5ZWWEBUWHspqtfx+82zvOo901Vu2RiqD53vB0UQkjbIFRINWhtwelEM9NipPxmYQ33O7Vj/aDey0Zf0Avj7Dx6RIOik3HC1IlrY+4V6hOerXc/KzWuFSpy24v06d5XpXZ436a5006pRf+ga/H//4x6mdGQS1HeWtq1y2wmSQftPeldXkyBJY7mvGSQSwKsYGY5zx7Itf/OIUQmm9EUujCf2CCy4ovvKVr6TxrXr/eP5fW1prrbWS9ZtyI7ztq1/9ajHrrLNOgcU4pi9nb23+Ae4w1+fVW26T2TCjn3babuv0mbrjQN3rcnkavRsv+j325+fSFxhFzAPGE23fHJfnsXxdo/e641qje8fzdzDntaCXGFt4b7R3de4387i6KIs6emFy+DsPcKNwUGM6XcqcJ8TduJXFWC5s3jNWW221KeOb/mZ9Lx1D+q2WBeW0evE+lPI3em43mFTTGzSMyvnTTnj2hIOX2wWdxnxsvLP3ARLYSLQn+yKU18Iap9xD35Oua8gg49CobI2+6wQvOuHEyesJOxF9DYcxxzPorLPOOqn/MKLrU4h7L6WnBNEEKuPO6TCJsmqxDlDqDB6sCAYnFnAhUNaFcJGaiHVcg75NZup685Ac3kBK9J577llcccUVyTIs3NQzyoTI88XdeyE3rGjyo5Eb1DT+rHSxxAv5MrAJ92LBL3eOuhXQSf6kCQPWtOuuuy49f4UVVkgTpvJoFCw4W2+9dSILNq1QFg1DI2E51EAoLgYvYSSPP/546oTSNRlsscUWaZ2BycCA3qi8QtUshLWuzZpOlr7ddtstFVn9ICjqDH48tuoZeaF0Ub50/sceeyyRdTfZ8ME9yy67bLHxxhunwcBAoB1oJxQude6+a6+9NuWdRzeXJz14gP9oVxRN3i4T6B577JEmSIYKXiEWS3gyWHRSbnXE4CHkwjO0SYqUNgkz/eezn/1sCqdu1jbrtAXQqsN2dYbsswQ366910qhbfv1GW7hxchiL/snKrI8bFyg0Y0koSMJC9WOem3aiTh9++OHUv/Up7aIsJmMTrr4tAiBbfcvXjOfPDF6MiTD6zne+U5x//vlpbYx+WzZglTGCOWMbZYiirB3ri9Iy5lF8TfbqspN2W6fP1B0H9AtzRDfjhXnC3GHc79fYn3FFprVjCpUxBabmHvNbKw+Y++uOa/lZ8f4PBOwp4GUtqLal3fOqqwftUVsuexbdqV1oDw888EAKJyyTRAorHYwuhRhWxyPLVPbee+9Up8h/FvVPf+jEo5zv7eZ9KOVv9LxuMKmmN2gY5fyZh40H5qaqsYxRjN6H5NEFmxFEBsuqSJO+QV8tGwYGFYdq/pv93wu8mqWdvzfG67tIu7kH9nRsWOrLvZaeEkQDgAZhsKCgIDg6JPFuUmYdRFYMKtzM1oAYQBAWawMVuC5BpCgb2Hj5gAUoVikDGUVauFYW1kk7cvLqIGBiqQHKsiUdefnRj36UGr2BywBgEEMmVXwzJTyn3+i9k/y5nxKONFsLYBEwpZgSqOPIh3A7CgoypsPC13WnnnpqsswhchSZiy66KJEym1cgdSeddFJx1FFHJaJx4IEHpvJy9zcqLzwRAb9RiLLnS/4oQOpI3cEOsRYucPjhh6ddFr/97W8nxenoo49OytOxxx6bJnNrDXw2gagTdaB+LF42KcHZJKWcuQNQeLbffnuPHWgxWSKGvF3aHwWHkq4NU4BOOeWU1CYVopNyq291pG4NxtqSQQBOBtgf/vCHiXzaiMDOlY2kTltgvIF5uzpTllb9tU4adcuP2NhAyhii38HURFK2QjYq72j8jkFIf1O3xq52ol0gzsZRhoeqtwWhpmAj1eosCOIHEWU41KYoPsJMTbhC7MrhveW7YG4jM2OzdYkMn+Yp66hsisaA+LnPfS6NlZ202zp9pu448PnPfz4ZpLoZLxh4jfn9HPszrsYwRjVjm/HLZ3OUMctapzKZyPfk97rjWr4+3v+BAD1IOzc2mMvpSs5UYxzhzRHFUBVjyFZbbVVceOGFKXzdmjPzXpkcun/33XdPOl75fnO6V1kYg+kZlFwGeHtADJcMpfyN8tYNJtX0Bg2jnD86MF2YDpmXPeTfGBFEj9Hf6Kl1ha7H2MDobe18WQYVh3IeW33uB17V53GsiDaCO3KehUOsrKvn77t9nzqWoNvUJt9PWUbEKHbcyJRCQsE1MPBIUYYUjpfOdyYmHY6HqZmymxIp/dFoecika1ImGhhvmomXVR6IWTRmBBVJ0bgpxjmkRZ4NgLwyOoS8HHPMMWm3NSFc7u1UOs2f9FUw7xkFhJUUAaOQUD6QPfmlmFAkKQSItV32EEtYILLWYPI4KhMSqWNTrv0GE0Qc+WpW3n/7t39LOyJS0svKp/t5LE3k8ofkw5HFkLJF6VKPLOs6iufDG3mfMHnNDy8iqxFRDuVEcHM5LVT/53/+5+RpM3ggoaNFTI7Vzql9KXsOP+u03EgmXE3a6lCfooyK2/dSp+panTaSum3BvXXqrF1/rZNG3XrXbmGq3D5TFrWvofTDRtgM0neMLgwLyG87Aqxf6X8mCYpVo7ESRrByLQIU0hgBhJBX3zjHU8+IxpNlPCqL/xmzeBopxSzl5jZzhF1OzScMXchjp+22Tp+pOw6YS7sZL5RZP4NHP8f+jK25w5j2v//7v8X//M//FP/+7/+exkseWHg3k07GtWZpjPfvzd30GkZMZFvbF5FkzuJVbCQ2/qPQm+MZsLU3OgdngLGawbgVqS+niRgyRNALRJhlJ0L5mn5+Hkr5G+Wnl5hU0x9pjOSHAYBnnxOl0dxLx83XVPPf7H9jLR2UUaDdfCeNQcChWVmq32cseolX9RnGeI4DTq7y65BDDmlYR9X7O/2/px5EDwcOb56wQUzXQCB0BGljacB0SR4UWGY1FF4xxIeHpI4YyAxQLKyICE+aydyEquGyyns+0ldHdAAKKSUg74JK0aqKZyBkVauJMiAEmVQNNX/yQdGwBsbzc3rKiFhrhN6zGNRNtvLjxTJIgcyuZ9fBCJFzHwJM2pVXHspeU/epS4S8HDagvlh8KaTSV6+8WogRBcjL8+W7TNi1E89QLvcoA4Ghz0Iz1WMuf/pxlP2R92r+Oyl3vtbEm8+9kR7DgT7FiGHAbSSdtAVto12dteuvddKQz1ymdvXeqExj8Tv9A0nU39sJbyOvqrag/puJfsVSy0sz2vtQszL24ntGFt4/RJrx68QTT0zREOW0jXvGVOMeo5f2m8X/5pfTTjstLa1gOOtEOu0z7cYB8666b3ddqzzm/tnPsd/zGSnzPGIugiOjoe3whefbtr2RdDKuNbp/vH9nnjaOGBssOUHSeRItDWIEZCCmo6mTqtCLRPWIJDn++OOnrLnvhByqP0svEExHGzB0Dad0U/5G+ewFJtV0Rxqjan7oHOXxwO8MNZw75hevOoJs8h4ifRwc7WTQcGiX3/x7r/DK6Y3k+z9mux7mAmlgnRJWyMth8DcJa2Q5nEDHYqk00DiTyoQgREFIZR1BgnikWLSEOWZBLJA85FGYlfQaDXb5+uq7PFY7Q/kaipcyWXdWFoRY6EV+Vq/zhzSZvBGtssirDqqz8rwZ+OHPs1j1arm/qoi2K29+lrRhSwEpe8V0hrLlkOJv8jcBIC8U4Bcmh8Ui1nUGEvmRZr7e5/EgnZSb10IbhydjRSNBOuq2hTp11q6/1kmjUT7zd9Xy5+/H+rvxhOEkjxvNyquerS9jbLE9fauNvPRzE7gJVhsZL32oGXbNvoeLcVuUxte//vW0hp1XtmwYhCEPL+NhFXPjnuuRSBESnUq3fabOOCBPda9rlv9+jP2wL7dLGy6Yt/QFmDeTTsa1ZmmM5+/NxbzhQtFFIBkrGJsskbA0xVmhDCeMH41EHdGpvve97yVjPC96ub80uid/x2jOECM6iH6CbHr+cEq35W+U124wqaY3CBjlPNH1OCDoYvTLstBDzV35mvJvzT5z4ghpNpbq761kkHBolc/ybxmLXuFVTnukPveldyIhBhFhPEIXECoKjk0YKILE5GqQ4DHiReQ2Reps1SzUtNXAwQrkWhYJ63DKhIUX0vesukJVxLo3G+yGAjqFS+OtKgSUhEyARip/yi1vOi4FUUhfWeRL4x2KSFMZs8KUiX5Oy/OUn6WdRVLIFUukCYQiYEOakN4hgFDoQ5TMRtJJW6AAt6uzdv016r1RLbT/DukQoqW+mom+ZdMpypWQY69WYjI3zko3j7etrh/Pv5nUea54T6yhdkQI5aV6/quxTxsviz5Igcqh0OXf6nyu0+/apdNuHMj3170uX19+H46xP2OpzSK0zaSTca1ZGuP1e/MzfQxJQs60fWJpDr2LvnD55ZensaaRzkR/QO54ePUPYxdvoLmBwbJM+KsYa0M88e7V3+gGxib6ivFNvfdbui1/o/x1g0k1vUHAqJwn7UNf5JyQt7Iot+9Ezqn/OsJpoP2IFhz0tlKnPNVreo1XNf2R+L8vBFFBbAJjwTPFk1XKZjTlSddka3CwDsRvFtdPmjQpvcqb2zQChYtaY5Mer11VWLQMhAajGydv6MDC042ilImfRq1D2D3Sq5kMd/5yPnRmlkGhoFz5BnnKC9GhhZaw/Aht6lQQEYoT0i192Oe0DRSUHUKJdQi1tQVCWGAGv4xhp88dDddrW17It8kui/+9el12BMDaXhM0g0gjqdsWhHnpI+3qrFV/FdrGCNQujUb5bPaddpPbzlCNGs3SHqTvGcgoZsZC5Ww0TiEv1huYqEVdeG8llGiTVQ5LbnXtePpNP9Q/q+3J2GZNtigXmz9ZI8OLQig/li2oH+M6bPO4Zyz1vTHXHEPqtlv5qNPvUqJN/tQZB9xa97omj0lGqH6P/eYn0UCWKVjf2UzqjmtDmeOaPXOsfK/d88AaY7TpshiHhEjTq9RFVXxnTwnRWvqLKAb9hTfSmkR7JDQjie61xEjEF70BQdRPeItFWmmf7Yxe1fwM5f9uyt/oed1gUk1vUDAq50s74eQRJVH16mdDjTmm3F9hbGwzR1XnMjqECJhqFFv5mYOIQzl/rT4PBa9W6Q3Cbz3fpCYXykAvtNRAwGpgACp7O6wPpPRoUBrYvvvum7yBPI1VS21O07sGxJou3BGxbCTIqe2aeQ+t2bEQO0tuwN7Linv+XuM2YGXRESgMiFEmQfm3Ru/d5s/zveStTv5yvl2LGDsHhXeTJVzZKTUvv/xyIow2uMjY5vuq5VUmaeXfvRP1x9LIki4URbgbSySMrV+wMQ5F1v/qRrpIjLzAH46IpBfFKqdfLWfOT85DeviA/0HUhPOafIVRKDfc4aDcMMvrL4dSbm0KbllMzMg+JVY7h1XGzTtRX3XagnTr1JnQkGb9VShrnTQ6qXdKOGMM7OAqnxTIsSbIBcVKmxGOXRXlthER5crug1XPffV6GBtDYSfUO+QfCOhH2hJSVxV1wFhpEwAKTB734Ihs2BmWwdFclsV4p59bEyxUldRtt3X7nfrM0m4c6OS6RmOG+/O4axzJGPR67PecPF75TIyVeU7PW+Y3ymPdce3vqY6/v3l+gW+eCzIKlHbjjegsbbcssObFZegoK/yu0QbL5NCaQ7ocfYCh3LhsXaL6k05Z6FKWmogg8hmh0IeMZ4zJ3j13OGSo5W+Ut24wqaY3SBhV85bbAx3OmJXFOGq+omNkb7O6pxNaflUeJ92jjELVzeeiLhrJIOOQ89uqf7mmE7xymoP83jcPokLzTrBKsRpULUQaHMJi8mWl0HiEGZhs/d9IKNkGFGEQOcTTd+UGlydUE7sB0mY1rFzbbrttGohM6BQoZI/1inXEwEHBNWjKq8GQV8Qg6Dk2L0CIhGEIi20m3eSPBQ7BQzC8KDEGXLjwBuh48qyTyp9OqUPKN+US8ZNXOAvRzflFICg8OrOJ10vazcoLM89BKpWH8q+uTMzqkmeQV9iuSf7POFvHYHcwZFp+kQmTgWcjMzBWd8i9TpQJlAHD56wc21xHmZXFfa5tFW7crC6G83vKJcuoMvOWa0fqRHmFPyN0LKiU+07KncugbhE0Rhc4OqNS+sKEWIKlCStWPvWl3fBKqZ92bQG28t+uztQrr3yj/qqO9KV2aXRS71kRtLOkMCai/Iw/Y0n0EURfnWojZaOX/k25srOjeq6zoYN+o+9qa+FF+XtLMY7pk4ySQt/NCcb9rCzn9kTh/cIXvpD6j7ZMGDgZOq3X4ilhHPObfm0sMx4bu/OGK9oopaldu0Uk6/Q7ecrSahwwH1h2Qdpdh2jCozpm8M4ZQ/o59ptfbHhl/hGJYjzTzo0tPptf1U2zPNYd1zJm4+Wdwm7sN06bb8ynQjqJsTSv+bLMxzhDibfvg9/g735zL3zpYGXRVm6cHGWifWRymH/PJPGCCy5Ia3gdtVX2EJmbrG/0PPVKFyP5mQwrziUdLhlK+RvlrRtMqukNGkbl/Jl36JCcDaLS6Hj6sHFUHTJaZseP7+lARx55ZLHXXnsV3/jGN9L4KT1GBOOS8bS8JKz8rEHGoW7/6gSvctkH9fOHvz5ZGmUOSdEJKGS5ATS6rtV3CB8F1ITgrB2NIwsSwiJrIONlQXp4Yii9zQgi8ob4mOil7XqTrIEri4YoXS/EUd5NNgYtSrWGLR8GRuKd5YIXzAArLdfKs8FS3pAzxNNgVrWu5ed67yZ/BnAEkdJhkJcHeVE+VgseTB1MeXL+YOd7HZVi4n7ElrKisyJaJguub+Ge2TquXpuVF37yAGNKjBArOHipF4qIOvVsxBFBRL4NFBQneTPRIyk6PLwmTpyY8uh6eZwwYUKqH+Es7s/llCarovt55NQNy7181BGdmOIBI2RkuIQFVB6RXUSJgmWSpVj6DQHgzXENole33Norz6x2qa2bwDOBNrl7eab60q5hSelVZ9oD7ISgtmoL2kadOtMOla1RfzUo1kmjk3qnZJtIYPnC5P6njTBulI1Bw1G/FFft1lrnfgjciD6vvPpvHifVm+cbi42LZbLQKC/GAf1We9DnhHL1QozVlHn5G4k66LYM8k/BVQaEznhvbEHOMxH0DLj7zm/qxVIH32lz5kFjEhKmTWYlHMaMMDmcCkY+t2u3dfsdhazOOCA9xoF244XrpNdozJB3Rq1+jv3WH5lbzU3GQWObMU1bF+abDSTN8lh3XOu2zYzU/fq7+dl83YkwJNnHgR7FIEI/MlZLyxxkHiDmB3OweoY//UZbZtBwnV1Nq2vKpKFtmG8a6YJ0A3Vq/NFHzENZkFQ6m3bn9/zyuzTpVIzLfu9EhorTUMrfKF/dYFJNr18YaQf6FhmqsVCbMCbSf419/jcf+UzH0U6zAd9YSX/0jlSW5yvjrjmOc8JRdI0Mvf3CoYx3bjedzud1+1cneJXzNVKf6Vb0G+2j3G9zfj40ucNOHRPw/i+8e5ROgzYFcKiiYRn8DQZlQXo82mTNammAMDAhB4MmOppyGHQ1/tEg8DXJIscmhLIi1G3+1RsvrE6vznSKsqhTmKnLrAAbOOTFBNPpZFBOu9VnFnGWLmSMQWK4BR5wQQQRGm1GPdQluNX8GoS/9a1vpQncGYisn/oSBbYTDOu0hXZ1Jm/t+mu7NDrJc8Yi9z14joTk8/GsTeuXaDNCwln2nQeKjBN1bWyEqzrPE3GzfLhWOowk0qG09UIQhlNOOSX13YMOOijlpRfpDmoa+jHsG02Y+rT6Mg8YV5vNB3XbbZ0+6nAQ+AAAQABJREFUU3ccqHtdN7j3cuynLDJwwbkR1u3yWWdca5fGoP1uvKF3nXDCCX3NmvZpnKDsG1cYco07Qxmj+5rRJol3i9NoL38TWKb6mkPh6quvTt8Jn+9GjFOIBMJJ32PAZQzoRBjqGC3wiSof6CSdbq61T4L+1c/5XP56gVc35ax7r5MeEHPtg/GtKn0NMfUwjalKIHyfByIkolHGXDMowoI83J6LbssOXwpMP4RSRGFvprSbcJDpsgxVCSinMeifDXrlga9Rux9qGfSTqmW3blp12kLdOmvVX+umUTffrhuNfa+T8rlWX2G5hy3DHI+Uvut/xLCOMMCwjjIK8eb3ihzWefZYu6bch6tl06fr1Enddttpn6k7DtS9rlq+dv/3cuxnPMwGxHbPbfR7nXGt0X3x3d/HVUcXeY1H0T/Hc/k7rXPjFANCNl52er/r6fmDrusPpVyN7ukFXo3SHe7vOvPrD3fu4nmBwDhGgMeVN4M1yueQsYsAr7ddnwmPndCvuqJ9CBcT0i20xxm0IWMHgbrjQN3rxg4yUZJAIBAIBAKBfiHQdw9ivzIe6QYCYxkBoVfiw72zlAsHssaVZ4l1KmTsIWCdkLWmQnl4Aq3tqSOMCELIreXpZjlAnWfFNcOLQN1xoO51w5v7eFogEAgEAoHAaEUgNM3RWnOR7zGNgHh9m+7Y4U1YFxJgkxibmARBHLtVnzeE6qSESKU1ISFjD4G640Dd68YeQlGiQCAQCAQCgX4gEASxH6hGmoFAlwjYhXU4d2LtMrtxeyAQCPQBgbrjQN3r+pDFSDIQCAQCgUBgDCIQaxDHYKVGkQKBQCAQCAQCgUAgEAgEAoFAIBAYCgJBEIeCWtwTCAQCgUAgEAgEAoFAIBAIBAKBwBhEIAjiGKzUKFIgEAgEAoFAIBAIBAKBQCAQCAQCQ0EgCOJQUIt7AoFAIBAIBAKBQCAQCAQCgUAgEBiDCMQmNWOwUqNIg4/Au+++m44ysDupQ3tnnHHGUbU76f/93/8V7733XgK6uquqc/mq5/jZidXh3Q4ad2xHSCAQCAQCgUAgEAgEAoHAYCIQBHEw6yVyNYYR+MMf/lA899xz6ZxD5xv+7W9/KyZOnJiOsECkBl0QwDfffHPKWX3OZszy5z//uXjsscfSYe/5O++f+tSnCofBzzDDDMWcc85ZTDvttOWf43MgEAgEAoFAIBAIBAKBwIAgEARxQCoisjE+EOBZu/nmm4tbb721WHPNNZP38Iwzzij++Mc/FksttdTAexGRwxdeeKG48847i0984hPFXHPNNVXFPfvss8WPfvSj4pZbbpnq+/XWW6/YZJNNitdee61YZplliqWXXrqYZpppprom/gkEAoFAIBAIBAKBQCAQGHkEgiCOfB1EDsYRAi+99FJx8cUXFzyFG2ywQfGnP/2pWHDBBRNZqoZqDhoswkqff/754rLLLitmmWWWYqONNpqK5CG/Tz31VPIWfv/7358q+4jkwgsvXNx9993FTTfdlMJTV1pppQg3nQql+CcQCAQCgUAgEAgEAoGRRyAI4sjXQeRgHCEgpPSJJ54oVlhhhUSueNF410aD/P73vy+uueaa4tVXXy122223qcih/AubffLJJ4t55523WH755dO6yup6Q55D5T/vvPOK2WefvZhvvvlGQ9Ejj4FAIBAIBAKBQCAQCIwbBIIglqraxiFvv/122mDDpiHWhgmJ8/7pT386eUbyGjGhdtaSefGc2IDDNdZYZXENpVr4oO95iH79618XNiaZaaaZ0vXS88w33nij4XN4bTwj32ftlueU1315Hk+UNOSFUu46IYDTTz99zk68jyAC6ty6vWeeeaZ4/fXXU50//fTTxf/7f/+vmHnmmYuPf/zjqa1Yw+ezetQu/Ka+iXYkDddok9qUtX3l9Xy9aHONYPK8+++/P60tXHvttafkKV9rw5qHHnqoOP/881PYqfKutdZaxSKLLJLKk6+bbrrpiiWWWKK4/fbbiwsuuKD4yle+kjDIv8d7IBAIBAKBQCAQCAQCgcDIIhAE8X38c3jclVdemZTwVVZZpaBsX3vttcljwsuz6667FrPOOmtS0G3E8Ytf/CLd/Zvf/CYp/csuu2yx8cYbJ2L2l7/8JXlUrrvuuhSWx2OEFFqbhSQIt9t6660TgbvvvvuKO+64o3jllVeKddZZZ8pzKOW8Nffee2/x+OOPJ7Iq3eWWW67YYost0mYfMoBA3nPPPUlBRzhcg1gqwxprrPF+CeNtJBH47W9/m+pYPSPy1updcsklieBZk4fUW5uIAPKyCeW0zk8Y5957753aF4Jm/V8mj7yPn/nMZ4rVVlsthXz2os01w+itt95KoaHaqLWSVfFsxg6GC+1bKKl2+i//8i+pTZfDZ3kYGS+Ud8stt0x9oZpe/B8IBAKBQCAQCAQCgUAgMDIIBEF8H3eePgr52WefnQggD8gCCyxQLL744knhPf3009MujNtvv336/+ijj04hdscee2zy5hx33HGFzzyPNuNA2h588MHi3HPPLV588cXid7/7XYFASg9BOOuss5Kyz8uC1CGQrjv11FOTd0YIH6/hRRddlMjBjjvumEjfSSedVBx11FEFwnHggQemTU4efvjh4pxzzilWXnnlRCZ4pqxzQ0KCII5Mx6o+lRdwww03TF5CRoNFF1202GOPPZJXGSlUfzZ34fF95513EsnXBrUV7eDMM89M7Wn//fcvVl999VS3P/jBD4pvfvObxT777FN87nOfS+222zZXzXf+X/goIwQDyfzzz5+/nvLuqA5t1LpK/Ui7v/7664uTTz65mDBhQlpnmS/m9RRaesMNNxTaLmNJSCAQCAQCgUAgEAgEAoHAYCAQBPH9eqDA8xLyfPBs8OrsueeeyStCaT/yyCPT2imXC/3jMVlyySWTJ4TnhBIsdJBnEUG0iYf0hN3x+kiPcu/aOeaYIyn7CBySwEtEeIQOP/zw5C0UsnfbbbcljyNvIRJJPPPSSy9N3pzNNtsspSsMlsfJui9hiBRunkz5CRkMBJz/x2vGgCAcGaHKoaM8y1tttVUiS0iY+kP6GBm0M4RL6Cbv8qqrrpq8ja7ZaaedUntj1ODVQxy7aXOtkOJB5ClHDoWJNhJtW7vffPPNp/QNJNGmNDbiyQILnkZl45EMCQQCgUAgEAgEAoFAIBAYHASCIJbqQhgcIkaRt4EGRZ5YB+bzr371q+TFEwJ4xBFHpLVfyGJeQ2gNo/VhWSjC0rOmjEJMgSbS54lxvfcsSIPn8DZ68a7YFRKRpJwTHiXPdx9PE5FX4rgEyjuvJEWeBzRkdCCgrTAQ2O1zscUWS+1Am+HZ1g54GRdaaKGpjsHwv51ATzvttLSmD0Hsps21QkobRxK15TrCYLLuuuumsFoGjKroFzykQqiFQ+e+Ub0u/g8EAoFAIBAIBAKBQCAQGF4EgiDWwNv6MAqsNYGUWQTPod+8dtYhUp55CfPv7ZJEApFRBLEsniN9ax+FkFKekbydd945eWbK17o/K+sIhbVcxx9/fHHYYYcVm266abH77runkNbyPfF58BHQBryyMBQwDiCP1Q2HeB4dOs9Q0M5bXKfNtSJqyBzjBwJaV3hLEV55r4r2y0uufK2eW70v/g8EAoFAIBAIBAKBQCAQ6C8CQRCHgC+F3Ro/672EeQr1QyBtcNMrsRGJnUkp5hTpHI6Y0xeeh5ASRAGJ5OnkRRSCalObQw89NIWaUsZDRjcCSCAvYlmQNV5nBCyHIJd/7+Vn5NSuqdplXck7sjbyZDOCIMLSLBPiumnHdYFAIBAIBAKBQCAQCAQC/UHgH66K/qQ/5lJF1m688ca0+QbvjfWBFHReEK9eCe+LzTxsDnLXXXdNpZgjh763GQ1BHJDJXXbZJXkRrWt8YbJHc9KkSSkktVd5inSGHwHk366f6vell16aqh3wQPteO2lEwnqZ23zchudlw0Sr9BHal19+OYVWC4muCqKJ1FqPGxIIBAKBQCAQCAQCgUAgMDgIBEEs1QXFFwGskj3f8Xj4noLssHPrEX1vjZjwPjtNUnp5/Lwo735vlF5+Tk43ZyF/7znWnzlDTtoOFbdxDoJA6UYYb7311ikepUcffbSwM6b7bV6y7777po1CbHJS9TrlZ8X7yCCQ69h72aCQv6+2CWtKESy7fj7yyCNTNkqSe2v7tAkbIDnShHTT5uShmSChwkW1dyHVWWyKxFDhpW8Q7zZ70ieEO1srWRZ9Q9tUNqHaIYFAIBAIBAKBQCAQCAQCg4NAxB6+XxfIHWUb8eP98DkrwjaJsSYQWbProg1ieD+QMh4QawF59Kzzsoupcwt5dCjwjq6gMEtXGu7j3ROmikg++eSTSYFGFhBPCjhS51krrrhiChG1E6RwUefdeZZ82c3Si1DEEUZEYu65507PEbqHOPg/ZOQRQIrUv3aFHKl/GxDxQms36l57sQmRNuF8Q2td/WYjGmchOjrCsSfa0LTTTpvamTbkeAmHz2vD2ttQ25w8aC/Sr4p2bgddxM85h45UIcrjKAv9wk6sjnFRTkYL1+cdesvpadsMHXY2beRdLF8bnwOBQCAQCAQCgUAgEAgEhheBIIjv401ppyAjYMidDWIo2ogbZZ5CbB2WtX2Udwq7Q++tO6QYO7eQYm3TGrtOUqgRAEJ5pzQjkUL1EMTZZpstpW2jG8/1HATB4eLIneMx1lxzzeLggw9O6w8feOCBwosnabvttktHaSAJBGG1BvLaa69NCjplnaLvqAskI2TkEeBp03bUsTMvrR3kFV577bVTm0O61JU6RZ60FeQJQdRmnHOonm+cHN584YUXpk2LEELnctq1ljAudNvmeK49ryqOr5BX7RX5Y7ywdlAILK+1siGw+g7i58xH7b4q2rn2L6+8i+4NCQQCgUAgEAgEAoFAIBAYHASCIL5fF0Lo7PzpVRWEsCqUd5twUODzbqLInfWBFH3KM0XZ5jFVOeSQQwqvqiy77LLVrxI5lC6FWtoU+KqHZ+LEiemMPGGwdoXMiru8hQwGAurNsQ9ejeSAAw4ovJqJNrXDDjsU22yzTfJAMghI03sWGxlpb922uZxe9d05m7zpyCwDipBTho799tuv+PznP5/CsIWNlvNUTUM7RiaRUAaMkEAgEAgEAoFAIBAIBAKBwUIgCOIQ68POoDx9ZaEce/VaED5koJn4nSCEvEwhYxcBO5c28vANR4m1d55B7UxIM4KX22X2ZrfKBy/qfffdl4wdm2yyyZTzO1vdE78FAoFAIBAIBAKBQCAQCAwvArFJzfDiHU8LBEY1AjaVEWpKhJoKc60jvNvCU61ZtJZ2jTXWqHNbXBMIBAKBQCAQCAQCgUAgMMwIhAdxmAGPxwUCox2B+eefP63HtTmSkNHqGZ2NymczHaHRQmwd2xESCAQCgUAgEAgEAoFAIDCYCARBHMx6iVwFAgONAFJYhxjmQtjgybEtIYFAIBAIBAKBQCAQCAQCg41AhJgOdv1E7gKBQCAQCAQCgUAgEAgEAoFAIBAYNgSaehBtfJLPBrR7ZkggMOgIOGvSGZHTTDNN2mlz0PMb+Rt8BN566620W7GdW8er6FfmAue5OqLEkT0hgUAg0HsEjDfC8cfzeFMH1cCpPUp2tM9jdbSnv+MFj+hf/2g7lgk5eqyZNCWI1gtpYM7Wc2ZbSCAw6AjYJfPNN98sKLQ2QwkJBLpF4Mknn0xtytmT41XyETuO9bnqqqvSLrbjBQtjCnLsmJnxdmyQsZQy5TibkOFBIMabejgHTu1x4thxhjcxjoUU6Zxy49p4ns/L7eCNN95Iu8k3O5qsKUF877330iHYzuBzRmBIIDDoCDiE/rHHHkvttdHZlYOe/8jf4CFgkmVh22yzzQYvc8OUo1/+8pdpYl1ggQWKhRZaaJieOhiPeeCBB5Kxaf31159y3u1g5Kz/ufjZz35WsDDvu+++/X9YPCEhEONNvYYQOLXH6Q9/+ENh/CJ55/H2d43tK959991xP5+Xa/iRRx5JXuZmXsSmBBGQzlyjFMSug2VI4/OgIvDxj3+8ePnll5NFZKmllhrUbEa+RhECt912W/HKK68U4709vfrqq8Xcc8897nBQ96ysiy66aPIijqKm23VWb7/99hSNMd7bftdAdpCA8UYETGDeGrTAqTU+fuUpsySARHtKMBQxpv0dh/z39ddfn+Jlzt+V32OTmjIa8TkQCAQCgUAgEAgEAoFAIBAIBAKBcYxAUw9iPzDhxhS6mt2Z4l5thuPVSv72t7+l+/I17rMepFncbL6u/O6gbnHY7plxxhnLPw38Z95c64CsB7EeVP4/8pFhrbqWGI1mbFsWrMc/wslGH+rTRjrqUju2xkm/4AENCQQCgUAgEAgEAoFAIBAIBEYSgWFlGZRjoUrCduwmREG2pmXBBRdsigGl+vnnny8ef/zxKeRuwoQJxRxzzJGU7KY3vv9DXqj79NNPFxY2C5fdfPPN2902ML+LI3/uuedSqIC1QMjyxIkTC2vsOiHI/SjQaMe2H5hU02QMQe7VnbYv7AMZnHnmmYsZZpghHR7PzT/ttNMWG2ywwYjXaTX/8X8gEAgEAoFAIBAIBAKBwPhCYFgJol3wnn322eKcc85JL16U/fffv/iP//iPpjul2oXpxBNPLI455pi0BsRmERbNU7Dd307eeeed4u677y5OPvnk4o477igOOOCAUUMQeZZuvvnm4tZbby3WXHPNhNEZZ5yRPKFiykfaiziasW3XbnrxO+OG3VSvvvrq4vLLL0+eQvU2zzzzpHUmTzzxRCL/L774YrHRRhsl4m/db0ggEAgEAoFAIBAIBAKBQCAwUggMK0G0G+rGG29c8DzdddddxVNPPZXe7Ty54oorfgAD3jK77LhW+B3v37bbbpsU6Q9c3OQLRHKbbbYpeGnuueeeJlcN5tfIxcUXX5y8SrxLPLC8rYjxSJNDiI1mbPtd4zyHvIbHH398cdlllxWbbLJJ8eUvf7lYbLHFpjyaN/GCCy5I1/Aq6hdBEKfAEx8CgUAgEAgEAoFAIBAIBEYAgWEliLl8zljkRbGm7tFHH01nLS6zzDIp3C5f411oHhJJeZ5vvvnS70LxOhVrHN03lHs7fVYvr0cweJlWWGGFRAoRw/XWW6+Xj+g6rdGKbdcFb5OAM0QvueSS4vzzz09bTB988MHF/PPPP9Vds8wyS7HTTjsVPLHCqHmMp5tuuqmuiX8CgUAgEAgEAoFAIBAIBAKB4URgRAiiAto2fM455yzOPffctPUsL1/Zu+Ia6w6dw7TGGmsUN9xwg68+sEZLGJ91el4UbJt+fPrTn07ru9INbf7w9LjXcxBWJNL9n/zkJxveyctj/aR7CM8mT5r1lEJobYkuHzaS4TFFoHj+8veZUDl4efrpp2/4DPngXXrmmWeS5/Ptt98urKFErD3L2rV2+YYLgm1jHtfzOOYyzjTTTKmM1jBKW954a5VbnstrG7vBt10eGxZ+jHx5//33Twmjnjh5zWiVHOZiagfaN9zhRepgzmiifrU5bVCbU5fah3qsg32da9o9J5fD+3D0jfLz4nMgEAgEAoFAIBAIBAKBQO8RGDGCiIAtscQSyUMmjPTaa68tFl544UTwFJPiy3tGQV1llVWmEMQyBK4RnvqLX/wifW29olDSZZddNoWyUr5bCVJk45B77703kVEHrVNyl1tuuWKLLbZIBLZ6P8LlLJUrr7wy5XH11VdPIawIIuLIa8Traa0kb5/rhbY+9NBDieBJn2KuTIhBI5GO9ZJeyJt1m9JFIlZdddWEU6t8u87GNtddd13yTPFAIoW33HJLIp1w3nrrrRNBve+++9JzbBy0zjrrFLvuumsx66yzpmx1g+9QsG2ExWj8TptF7tW5taPaUyvRD3jIeQ/rYM7gwGBgfSpDwtJLL53q+c4770xrGffee+9kDGjVruvUT7vn7LPPPlPtQDwcfaMVjvFbIBAIBAKBQCAQCAQCgUD3CLQ+X6L79FumsOSSSxbrr79+UmZtxOKA2CwUbKSFct3Mm+eao48+Om0CgpDtscceyVN27LHHJtKT02r2zqN20UUXFbw9W221Vdr8hqftqKOOKn7yk58kZb16L6JFoUf0KOg8N7PPPnu6zDtSygMn39aTPfzww8mTxKNoQx47qPIQIX3NhAdoww03TKGJvEO8rcomj3ZwbZdvRPnBBx9M3llr3K6//vr0vMUXXzxhedZZZxXHHXdcyr8jFxBIeTr11FOLa665Zkq2usG3XR4RobEqvMsIPE+wes+Eu1l5eXi1Hd7rOpgjhZdeemnauOnCCy9Mbd1GN57HoKDftGvXdeqn3XMQ4bIMR98oPy8+BwKBQCAQCAQCgUAgEAj0HoERJYgUZx64BRZYIBEaYaQ8G0iL8FIeDB6YZiKkDlFzVAZiJrwOgeJF5FlsJZTb2267LXnV3C980xo/pNVvN910U/LSNErD9QiccFFHZwj1IxRqRGv55ZefQgp4Ja0v8z0PC++djXqE1zYTxFJ5kAshs7yTSCMFHIFtl28eSN5L2MLT+k7k9HOf+1yx4447prQQVGGPn//85wsep5133jmFzcI9y1Dx7Qbb/OzR/A43BIyou2ahxI3KWAdz63cZC1ZaaaW0flGbssvvpEmTii984Qtp117e4mbtmme+XRvioWz1nC9+8YsNN9Tpd99ohFl8FwgEAoFAIBAIBAKBQCDQOwRGLMQ0F8G2/3bodAwFUrbpppsmYsgjgsAgUs3IntC6I444InleKNZePCgIZjsPlU1EePeEgyJLvG7E/dJFXm0e0kiQNOcQChO1yQ4P5Lrrrpu8P9LlzcySvYuOpxBCuNZaa6VyIcVDkbr5RjKRXh5IHti8rhDxVDYYlT1biAwyKv0sQ8W3bh7zc8baO6wZD4h2qB3ZkKaO1MVc/TJozDXXXGntrrpTz4wD7do1D2O7a3Lbb/acZmUZyb7RLE/xfSAQCAQCgUAgEAgEAoFAfQRGnCDOPffcyUv4s5/9LBGtG2+8MZEaJIOXpJUgO7wcPHTWISKIL7zwQvKa5Q0/mt3/1ltvpTBARI33rKrAU3SRq2biPmsIhbPyxvDmULwRA0dRZLHxzpZbbpmOMjjssMMSAd59993TOsl8TSfvdfPN+9pIEAllQxDLIt8w4+n0juQMFd+6eSw/fyx95ullGIChdsybaI1hHekUc/WWyaj062CvnepvnbT96nNalWWk+karPMVvgUAgEAi0Q8DcZ9mIcH0GVmH/5fG13f3xeyAQCAQCw4WAsYrOzsHTj3FqxAmiQvHGCYm0o6m1U7wolGyhc62E1885gdbb8do5MoBSbgOZdgJYJMpEICRSCGdZhK4Kz2wmyKPNcBBcG70gidae8YiWK0o5EFDhr7yI1o4J4zz00ENTqCmy1ol0m+9OnjVUfIczj52UZ7iuFVLKcMGjB0NGCwYEbbOdDBXznG4d7Otc06rt52c1ex+pvtEsP/F9IBAIBALtEDAuWp5iWYhlI8ZAG74x+FonHhIIBAKBwKAggBiKrqQz2mASSey1jMgaRFY6pCwroRMmrxtUQCGYyB0Ctfbaa08hWq7Pkj+7n7dRaKowVLuOCrnze74m39PoPR9DYbfPu+66K1kN83XIoe+tw2olNo+RTxuLnHnmmWmNofWHZbEuERHdZZddkhfRZjMIg/Viwlk7lV7ku84zu8F3uPJYpxwjcU02egg7dpal0GmKRzPRPnI76aZNS78O9hSgvNPtUNt+s7Lk70eib+Rnx3sgEAgEAp0iIBKJ/mF5C13CLtDf/e530yZv1YibTtOO6wOBQCAQ6CUCiOFPf/rTtAlmuyV1Q33uiBBEBEwoXA6DtM6JNw7ZIsLxeBWzICsGaO9YM+H5o3zb+dT3LH6UcOF8LIF+93Ifwpjv9U549BZZZJF0z3nnnZd29HzppZeKl19+ORFGu6pS2luJNXzZM2TjD2kKESyLNYqOm0CGeUT33XfftJMpb2O79N0jv94z6a2bb/d5VQlzTtNvGUv5zd+73ue6+KrLnJZ3UjeP6eIx+seOsZ/97GeLOeaYI7Ut3nHtE7ZZ4OU7x6DwQvtct03n+srY5zTrYO/aum2/2XPy85q997tvNHvuaP9e/9Mvy30zl0ldWxtq7NQ/s/jeOFduW/m3QXtXPnn1aietsMj3ugYelhg4LskY7rtBk2o/bZc/ZTCPeXUiGTPPG62iDNpynXrsFNdmmEhHJBLjrZ3VLR/ZbrvtElE855xzpuxR0Oz+Qfo+t4E6fWy48p3zNEjtMucpcKrfCmBWt29WU+0E73xto3mwmu5w/98JBr0an6plpAeY8+yf0s/221l8YzWXHf6P5fJeIE0GY4ox7x9vBvLE42KnT+/i/02OvGw2kvHOqmfXUGuohG7aoMN1CBhFXGgbz591dlyvLIDCQwDoe+vBHD+AVAoptcunHUUdAyHkc7XVVktpWMvovEGvduLIC+nI34orrviByxFWZFPYrHBUm4gIV7GzqP8bify6jrKDSLIUwABW7m2Xb2RbeVlCkXDllR6sTIDSo2DC0q6TGjxigmQjrT5bQ9cOX+c0IiT9wrYRNqPlO21V20KgTz/99GTpUZcUD3Uo3FR/0MG1SyHW8G6HuTbNgKKO9CXtTj0yqDBO6APt2odnMWi0a/vaTrPn6GPtpB99o90zR/PvJkP9Tz80PuXjfUwy6pnxShvSbkRbCGP2cp+2YOI2Rlg3NWiiHyibtp4NePqIcVtZy2H5yuFa41SeYIVtu7Ya6udafYgBxpg/ceLE4qtf/WpaZz3SGMibcReB1d9hYAy23t381Ur0PYRXvervjfqbaAGYwFHaDExePptDYGaOMUbXCW9vlZ/h+M08lA2T3ukE2nlVusG1mlb+Xx+CWV4zbizVLvUveoo6NDYPsugr8qkNKAvRNrQ1ZRmJNjCI7TJw6rwV1+2bjVLuBO9Oxv5Gz+rnd3Ux6Mf4VC6Xvi260RzhOD36X7/kw1+fLI0SRy5MTkLFql6xRtfX+c6Ef+PksFC7fpoADMomL5OciYAnEaFztIWBzWB39913J6InfROriVJ+3ONe/yNAyJQJhYKgIhEzCpb0TLQIqWcgowZMHg4Tr51SNWATed5kRriqg+Qp2+2EwmIdIULF8lgdhJXZ85FOipHKNHFvv/32TQkiJdA9DzzwQEpPOYl3+Zf3Vvn2HERCI1IGioTJTcN1mDrlK5MJ+ZY338NN2nCjWGS8m+Gr3LATEtwPbNthX/1de0FolM1GKSMtYsKtSUXedOaHHnqouP322xM5g5kX/PP5lpRk9dWuTWv7PI6MHerWPdKhBKiTdu3D9XWu0f/lt9lz2uHbj77R7pm9/h3OxhLnl/ZTjIUvTDbeOFuVddBYZjzUv3wvlESo8myzzZbWGjgSyPignxoTXKMPG3/0207XNrcqmzEMOdXGENBORdlYO6+99tpkTDLeyLv15sbtCZOXGGQybIzSh/2mvOYJBihGNuOa8pobsugz7jWmaatwy5Eo+Zpu3pFPCreJuFPiDbMrrrgizT25HuVRXpWj1ZoRfc/yie985ztpzrz66qtTWpdffnnh5X/zhPEFHpY5CI+EK0wdc+N/xgbPMk50Ktq+fPS77WelUBs2P55yyimp7p3Pqy1XpRtcq2nl//UXZHDllVcu5p133mSwUHZt0HjJm9iqvnI63b5nzOkgnYi5W371E2lkAwtya/wyRgylDXSSh+q1+n0/2qXnBE5VtD/4fzZA+4WDYijSad+sPqOTdtnp2F99Vp3/c7vpZEzrFIN+jE+5bPDEU4zxxnWf6edOfxjK+GTMNT5oH42MccPqQURSrMHzaiQ8X15ZKLyU52a7mSJ6hx9+eLKoU6oN5MRkznKFKFAgEMFmA65JyPUmUvdQNlh56wolbqONNkqKXNkKnu9HWK2vNFiyTrpGvuW3mcgDL6pXI3Fvq3wjoDbG8arKIYccUnhVpYx7/g0hrYOvzYEaSas8Nrp+LH5H8bAu1StbUw3cFP2qN0T5eXTrYO68zgMOOKAhZO3ah5vqXENh8oxmz2n48NKX/egbpeTHzEeDvvVPl112WVKIjSeZBBm8f/zjHyej2te+9rXkaVZwY+MJJ5xQCI//13/91zRual8UWmRE6Huj8WgkQOP9RGq8G3u0fX3gxBNPTLtAG2+VTX5dYzMvRkRRHaI4jJ3nn39+8hIa43m+y5J3mvQbgjgIguTbkEw5lI2hVT3fONlAiuwr6w477NC0jpBoigkCaOIvGx4ZwtS1/knxpyyIgjFv7LfffulaBOEHP/hBcdxxxyVi/eUvf3lICsRwYKm9ipBhHPFZebQJeFWlLq7uZVzInrRqOvl/YxR81Yf5LhtjtU91px4oX+bsQRaRV4zCymy8zgYiWPKuX3LJJcWXvvSlpu2tH2WjuA5auwycOqvpTvpmo5Q7wXsoY3+jZ/b6u04wqDs+GW+k2+kYxSjIYEo/cEKC/tVPGVaC2I+CGAirijYm3IgNN3u+yjK5DlVMMl6NRNqEQs5r00vpNt918tItvsORxzrlGIRrKD11wpS6xTyXtQ72da7J6Q3lfaT6xlDyOlL3ME5dc801yVO72267TSGHiJHdka+66qpkhBKenMVYwhBEiaWI8ZizAgodRhp5+xjGBkEo2aIZWFZ5ErMXVBl41v2G8CB6yoNYIYYMTOT/Z+9OgCUrqryB3wk+hVGccQcUaRAFxQURBDeglU1AlkZkbxG0RUBkBlwA2+BjNJwAcQBxZF9kFRDBBhWbBpp9EUXBhUUNVGDEZdQIZ0bD0e/rX2LCfZdbVbfWV+/VORH1ql7VvXkz/zdv5vmfc/Kk58GaXjjwnIkwKY/vlBCWUMdZWzsOok28hUhcJq1InvqZr7QF0W0172gTDHgQy22FF+8gw4EoF8+vJRs8RbxccKQ88LwxSl144YUFbzOSw6g0jmKMEBbvxVCC1IhaqJOmuMIa6YRTO2FoEQpf1iF4qkV7ePFG77jjju2KGIvfjAG83dVwZF4Gz5uIJAqp/tJO9B/HtfNGGJe83Dd6TSsZx34ZOLW6W/Xfd/Ns1pXQDd69jP111xz0d91g0HR8Mu4jk92OUSIszA3mQM8gIyJjmGfW507Pd7fYtB8tui0tjg8EAoFAIBBojIBB3cRImRLJQGHNIuxdSAxSQLnPXkW/U4C9RCUIASWIBGXXd5deemkiC+mHaf4jLNVesBRtofGEZ8cEScHktTEJw4JCIWwGwfFdFtEglFaKbnXNheNZVV1n9WXhqkT5cHCNOk9UOmiIf4TJIjqU8/KkTTHIIcHVdpSro71CHcvkkELgHKGEyLNjCEIjvJiXiLEhSw4j53FsRbjysTPlvSmusKJIwaPdyzFlL6PPwiI9k5YGyD7uO8eNsyB22QvLWKL9xNjhtxxN1akN+ollPZ7DOoGF6/BWdsJkHPtl4FR3V4f3XVO8ex37h1fz3kpuOj4pvZcxylxvPvN8eg7NBbyKrssQO2iZ8R7EQQMS5QUCgUAgMCoEKO/CQpEc4YRlESbI60a5KxNHx2RiaGLNyqDvkQrHC9dDyrL3ym/TJdY+lZcJmOCQJxOcZF1zl4XhI4qUz6zQVj0T/veyHtD6+Oxd1CbY+Z7HDaGCjfJh51qu0cRzPyh8WHMp2upVXa7AS8rza2Ln8VHnOkH0q6JMiXgQv7I3kHd13333Td6jciik8CUEWR3aeYSq1xnX/7vFVb/qRjI55PlF7C0NyfcR5uPina5rk4gBLwnRPEOW8YgqoDgKl5WAr/pM1ZVDobf1kbWsQqDLzw18RCgwRHimO61rG8d+GTjV3fXhfdcU717H/uHVvPuSux2fGEG7HaM8d6IiGJQZaBhG6RDmUlEQOUS++9rXnxEEsR6X+DYQCAQCgaEjYIAXHpi9PeULUtYo+QigCbQsLIk8Bcggj1QWn4WZCSu8++67x4Ig5rqZQFk5WT+XLluLx/L5T//0Tym5l2N4DHnYrCXU9rI4lkcV4TEhZsmWZ0oxMuwYCclcw5oWnxHtvfbaK58y9Hd1z57LstfXhSnp2klpR2Sbin5Acdc+oaRloYh7lUWfydZsa1ola5vpMgxcMyb6Ec8hgsW4wHuIwHvOPJut8ibk86f7nQHpbW97W3rmL7/88kTwJM2jNMqu3jRxk2eIMefLX/5yClXPJLFMDpU5f/78NPa0a/c49svAqd0dG/xvTfHuZewffG37K3GY41OuWX6OzXfGJ5EOPPXWI0peOGiJENNBIxrlBQKBQCDQEAFkhxLK81UOJ3Q6CyOPIIshz5GJgCLreF4OVkOTQnliyBOtyYoHa5xEnSjhFFjkVUImYaFl8isElacGuUOisvifRxDJLB+PiCHKiBe8TJh+5z1lvSZlL0gub5jvru9eWRPpflSFVzMfU/2t1f/WblrfguhV+0ndOUgOLITcCu3NWNQdO1O+y5gNEtfcdoTa88Qyz7trjagXT1ruW/nYcX0Xor7ffvulrZSMGaecckoKUec9plA2FcomIwQPhQQ31oXKuM1ziBwiy2VPddNyHTcO/TJw6uaO9X9sU7y7Hfv7r9lgSxjm+FStKaOnsYk+wChsKUqrsPDqud38Hx7EbtCKYwOBQCAQGCACPGpIYs7AXC4a8RPmJlxUYhKESuibieGCCy5IRIF3gBexLEIKeZyExyEj1iqOg1BUN9poo7SVAOunDJsf/vCHU2ZTe3Oqt3BQyqk1ddZC+R+x5DlDDHjkygQJCUaciM+IkLAdoZyIkXTmo07vn7GGe3n9oe8RXGTEffFqIsgm7yHlep999ul4Cs+kpEcU+/e9730pwVHHk2bQAYPCtdxkfU/SH6+ZKJ4R0QieeRnbt9hii2SIYUhCeD/60Y8W22yzTa3Boq69SKKtuC666KLixBNPTOMTRbQfcjgO/TJwqrvbw/uuG7y7HfuHV+v+Sh7G+FStkeRnnsVhRzYEQawiH/8HAoFAIDAiBBA5nrI6TxPPBbLjGJZ8+8PxhiGUCJOsphtvvPGTaopIISIUsnEhiJkMmTy9kF1ZK21foV08Y8LbkDmKKU+FRBiE94OnkIWZV0PIXxakkGfR7wiUMlhXkes60p3PG+Z7XvPHuosMloWV2f3Mx5R/a/XZmktGAeSYgaCdwOrWW29Na8VscwRL/WE2SMZsULjOBkxyG3jRPUtInPWo7rltsmyRY0/R888/P61b9dw1FWsYbX/1mc98JkUy2M6qVdbdTmWOS78MnDrdqcH+3g3e3Y79g61p/6XNxvFpdswc/d/bKCEQCAQCgZEjIGEJMsRLVCe8gxSzefPmJWIhi+Vxxx2XSBLlv7r2TBlICc+VcqserLprDPs7IbFCSy2gR+AQX4LsWC8ptE84pN+IdSuyRyLBQuWEsyHF9lKkAAtLJYiCsBpkeJdddkm/CasTlivUDkl0DBklDhQFyo52IoNlYVH3HS9o0zA9nkDJQRgDkOtWolyhuzK98sjyGGk35RxG+sNMlkHjOpOxKNed8UWIGWXcmAAnYmywl6jnybPD4NKUIOqn+py+ZLsU4xSvtD7LSNWuH5br5vO49MvAqXpnhvt/L3g3HfuHW/PeSp+N41OsQeytL8RZgUAgEAj0jQDSZFKkxGcyU1cossFbxhOAJO69996JANQdi2yarMprE+uOG8V3lIRrrrmm4M0SqlYmTEJOESmElmeNUEx5zCRYQY5l60QIkUWJamT3zFtl+J9SzFMopE7iDNkaJejhcYOD7KbdJIMZBCZImf3n1Lt6bXVyr92bTIjdd+1vdf95RK3BbOcRhRsSbq0qhV6YYSaoCLg1jDNdusV1pre3af31GwYU+DCOlMX4wlOPLOojTcRxxpgrrrgiPYNHHXVUYX/WvCaRUcZz3UTGqV8GTk3uWH/HlMeybvHWV5qO/f3Vcjhnz8bxKQjicPpKlBoIBAKBQEcEeMRY5O3V1mofIyGokmecd955iQC8973vTWFkrPpVQTQQJx4q6xSmWyiSmbCWPWa+p9QiPpTaTJaQ4NNPP7046aST0u/qj1BRWIVYytSY1yBab2XdFfyQRhM00pkzhwo55VmpkrRRYCI8T5t4QMukWJvdZ4l4eHPggORKiMJjUxXkGTkWQqttdeIYBPCqq65KZBv5VBayKNzUe10Ic11Z0/0dpZK3M7+q9WmKa/W82fw/Q4BxRFip9YZl0b/c+4xb+be6z8aPMjm0xomhBsHceeedE0m0LrEJSRy3fhk41d3x5t91ejarY5nxuJt+2c3Y37zWgz2yEwb5Oes07g+2VsMrLUJMh4dtlBwI9IyAiRppoFxmT8uo1hKxFCMlvDs5XElDTPh+E17kt5D+EaDM85JJyMIDtOGGG6ZCTbawRqAkYRHehSQsXLgwrT1spfDzmFmTZ01fp33K+q995xIoCfZ3RGopmciafqRvf/e7302kTiiktU4EGTS5sibznDlf2CQM5i5bj1neNxBBRLh4DXP4JBKKcLoGLyQchbGOWtRBvSQYkmBGJj+kx7Yb6oToUrzVk4f1E5/4RPHud7+74K0ph+/pA3DwncQ7dYIIW2uGZPJaWotGXAc+EgNtvvnmdaeOzXfq6X66zxRFJNp9J7xgee1lU1zHpmEjqohnzPihD2y99dYJs3z/JYQSpSAJSCdBMJcu24LG+J7JYT4nk8RLL720+PrXv568iu282uPYLwOnfDebvzd9No1v1bGsG7y7Gfub134wRzbFYLaNT0EQB9N/opRAYGAI8ADxjPAsUHJZrSjH9uYqK48Du2CpIN4eXgfKu7C9nEXSOjLKG+uyQVB2yJD+EbA1g72NrDPjJZSVFClyH3xnj0TYIxsymlKWWwmFUJ9BviiJ2SvX6vhRfY/8IULIkr5N2ac8IrKIo73Wstdv9WXbMvifUovsUnql2Ed2ra8qK6QMJsg1ApTFcTxuyuZVFJI67GcmX7v8zqiz1VZbJZImkyRxTz3X1hLam5Dwaqy99tqpbUJDq3V1T91zzz5PaZ0Iy+LRkcHVWFEWSUUYC/SzcRbjHNKBDPMQu89w0zbPRCaITXEd57YOo27Im2cMhldeeWXaF811PGcwK3ve212fku6ZqsuO7DzXsd7X2MRgVX4eq+WOY78MnKp3qfP/TZ/NurGsG7y7Gfs713qwRzTFYLaNT0EQB9uPorRAoC8EKJEU6Ztuuql485vfnCb3c889N3mTWOOG7UU06UsYYv0JhRNB9B0P16mnnprI40EHHRQEsa+7PPVkxAAhQoZ4URAByh7lXnKacmjm1DOn/ocYIlMIBXIyLqLP8vzpvwgSDxHSQmnlQS2TIgqnDb7XX3/9lLwGsXnPe96TQpWq7Xnd616XPI/lUFvGC+sdc2ZYE/Z0iWyre+yxR/KIur+8nAsWLJhC1rSdgSBvgFytqz5AIUcota1OGA68ZrIwImQvcqd2NMG1Uxmz7Xf9yFjNKESZRc48d4x8xhNGpybCWOHVToRHe3WSceyXgVOnu/bk35s+m3VjWTd4dzP2P7mWw/2mKQZqMZvGpyCIw+1XUXog0BUCLL42EjewCgtj0aVM87AMmxyqKDIi5I/lD3EhCIc95Xh0eLRCBosA4kCRY4FlGEDuEIMy8el0RaGI1tshiYjXOG6Mrj2UWK92ou/rh2XPYN3xQi7rwi6F37YKwa0rZ5jfeWYp6K28f02uTeHwCnkCgUHg+kRps+cTg4g9DL1CWiMQOLXGZhi/NMW76dg/jDoOsszZMj41MysNErkoKxAIBFoiwPorwYQBFSmkKEtZb8+7UUheM7bddttNUWp930ohH0W9Zvs1JJTJXiShpjzJTYW3UcgX44JQ1FH1lab1i+MCgUAgEAgEAoFAYGYhEB7E0v2SGMTieMqZRdrWc1i07d0ibxmZWDgIpcx6Gi/Hs/47JidLyMew6LPu+55VIWc3ovg7XnmuKRlF3XWsQXGNfB4l3Xk8DGXhaVKGumRlXhKEbrwQ5fLi82gRkIzG+hthhjx1+oQ1f5LE8ODpP536nN8H0d/0JYuyEVR9rZUI49Pn1F0/1jfVVahIbo9j9MPys9OqvEn/3po5z6tn3X1sh30ZK1jrJzbGbhWGWD4+PgcCgUAgEAgEAoFAINAOgSCIf0MHsbJflFThFHXhTRTuJUuWpHVBvDjWkwj1ofRKHZ73lpJEglIvTll4GIVYFj7rbWR1Yt23pgYpvPHGGxMJsFZghx12SAqh0DCJQazNEbefr4MwWpNkg1tri5BV5cqIZ5+rvGE0Ain0T2IRiqJjEEttCG9Cu+4/Pr9JrKEPeCFd1iwtWrQoESvrtyj+7focj2O//U2/0d9kXfQSYmr/q1aizrLmCYtklOC9Et6IIMpW6VlSZwlTkBcGkpD2CCCFTYlhLgmpbLImKB8f74FAIBAIBAKBQCAQCLRDIDS2v6HDYn/bbbcVF154YSKArPL2NLEWi1fnC1/4QtpXTCY9/x977LHJw3L88ccnz98JJ5xQ+MzzSElG2qQ0v/jii9OCcQozAqk8BOCCCy4oHlyWcVBGO6QOgbSw/Mwzz0wKIsWcJ+Gyyy5L5FOiAqTvlFNOKY455piUqe/ggw9OoYjSgdubSIr8fffdN3merGNDMoIgtuv+4/MbUmAdmn7IqCBRgDTjSBXCxXjRrs9J2NFvf+PplqDmjDPOSO+dMh9KMCJrpD6KnCKBee895/Io8iw6Jsjh+PS1qEkgEAgEAoFAIBAIBALtEIg1iH9Dh4LOS4io8dxJpHDggQcWH/zgB4vdd989EbK8kbHwP94WGx3zFgqrW31ZenZeRB4TQkFW3hvf+MbHyzvggAOKvfbaK2Wlcz0ETljZPvvsk4id7HuIJW+hPWVuvvnm5HF0HSRSyJ8U1H67/vrrExF0LZ5FXkoeT0o+7yRPZvYwOiZkvBGQVENfYmAQrswjqI/wOrvvnfpcv/0NOq5l7aFXDqVuhxqvIfInqY1+x1DhnTCCILs8W+OYMKVdu+K3QCAQCAQCgUAgEAgEJhmB8CCW7j4vByJGUafUUtQJAuizvaZ48SjFRx55ZPKQUNy9KMTWMAo/zULpVx4PkDWDWelWvlBVx5ez0yEFrsPb6EXh5jlCJIWxEtdxfefZfoBkBdx2CPaQ4pVEPHlAQ2YHAk36XD/9LaOUnwHkr4no2/bMst+cMOe77rorbc+hzyKI47TdQpP2xDGBQCAQCAQCgUAgEAhMOgJBEBv0AMoycseziCAieELpeO2sQ0QQhYvm3zsViQRSxBHEsriO8nkCre+yHgzJ41mshvs5n3JOpLTm9TnxxBOLI444Iq35mj9/fuN9pcp1iM/jiUA/fa5Jf9PvsgGjWwSETdu77t///d+La6+9NvW7bEzxW0ggEAgEAoFAIBAIBAKBwMxBoJmbYOa0ZyQ15c275JJLitNPPz0p1bvuumtK0IG0DUokzZFN0lpIIaXCDcsvnkJKPREaiETyavLkXHnllcXhhx+ewlCRzZCZj8Ao+lyvKAmLtf6V0USSHeHPQqWFOguPDQkEAoFAIBAIBAKBQCAQmDkIBEHs8l4ha0uXLi1OPfXUtMZPNlFKMLKWCVuXRdYeTum2NYDkHzJKIoxZrH/0vW0QiKyryKS1kryIkpvwaJ533nkpJDWfF+8zE4FR9bl+0LE2dvPNN08JnCS5EV4q9DQkEAgEAoFAIBAIBAKBQGBmIRAEsXS/hIhSxqtkz3c8cb5HxGxmLoTO9xRhyWlkHEXiePy8hI/6va68fJ1cbq5C/t51rFmU4EPZvJU33HBD2gj7oYceSoTR1gKIIbGxtsyXzue1WbBgQbHtttsmL04+Jl8j3scbgdwHvGeDg/7UpM9lb3O1/+Yy2/U3xxDn5uPzd/n7fL73qjBmyJhrva5tW4S1xp58VZTi/0AgEAgEAoFAIBAIBMYfgcHFRI5/W9vWELn7+c9/noif5C8+W1tIJNywJhBZs1ehBDGSzyBlUv1bC8ijRymWxdS+hdYOyi5q6wqkEqFUhvN494QMUujvvffelA2VYo4EIJxInWvxwEjyYV3XYYcdlsJYXUu97I3nRZBThFEik1VXXTVdx8bqMrH6P2T8EWBQ0D/0O+GZ+ocERTLRSl70whe+sG2fu+WWWxKx67W/6XtCmCVHYoSQbMkaWH3LPnv6pD7ud9/rz47Xn7Pob9Yiyr677rrr9rymMZcX74FAIBAIBAKBQCAQCAQCo0cgPIh/w5xSTklGwJA7SjBl23eUdWusKMq2oKD82m+QcmwzcN5F+xbutNNOifTJPkrBpuAT6wIp/xRsZSGIK620UvKwSHTjGl4I5XrrrVcgdza9V49DDjmksMbRtWWIpLxvueWWaasM+8wRhFWCkSVLliTv4h133JGIoVBTyU1Cxh8B20PoW/qArVaQQl5jBglrWzfaaKO2fQ5B1F9Jr/0NGdTvGCBcj6eQd1rmXH3aOy+hbKmOy1l0M7q8h2uuuWZ6PjwjIYFAIBAIBAKBQCAQCAQCMw+B8CD+7Z4JkZP506sqdcoubx0SyGuYs4kid9YHImUyklKWJY+pyqGHHlp4VeU1r3lN9avkpVEuz6KyhZ6WvTZOmDt3brHpppsmosrD49oS16hbyMxAwH210bxXndgLc+HChR37HMNFVbrpb64jPLkqc+bMKay3bSeMHzyh+qv2hAQCgUAgEAgEAoFAIBAIzDwEgiD2eM94dXj6yiKzqNegBeFrp3D7nSCE5X0VB12PKG96ERhln2vSUmHRvIi87+omtJqBgic9JBAIBAKBQCAQCAQCgUBgZiIQBHFm3reodSAw7QhYQ3vjjTem0GZZd4WmvvKVr0xraqe9clGBQCAQCAQCgUAgEAgEAoGeEAiC2BNscVIgEAgIsZZkadGiRWmrl3nz5qUwVOthQwKBQCAQCAQCgUAgEAgEZiYCQRBn5n2LWgcC046ApDTveMc7UqZVodWy6spsGhIIBAKBQCAQCAQCgUAgMHMRCII4c+9d1DwQmHYEJK/xCgkEAoFAIBAIBAKBQCAQmB0ItCSIMmZKm3/rrbemfQBnR3OjFbMZAVtCCHm0Z19O3DOb2xttGz4C9913X9rz8brrrhv+xcb0Crbi8VzZzkdCokkS27nYlsha22EkIBtnLPV9Y+ok9/1R35/AvBnigVNnnGS+t3UWiWf4Mbyi3zyGQ/5r6zz9RPb5Ovm7ZZkI/1/dD1dccUXx6U9/uvDz8ssvX3dIfBcIjBUC1sTJoqm/2uYjJBDoFwEKMlK09tpr91vUjD3fHp2eK1mbq5mbZ2yjGlbc/rXav8oqq6RMvQ1PmxWH6fuyFK+11lqzoj0zoREx3jS7S4FTZ5wo/cYvYt/tkCIZvGJMe6In/Pa3v02JBT/+8Y/XJhds6UGkYO+yyy7F9ttvnzZ0f6LI+BQIjCcCP/nJT9Lm8i960YuKzTbbbDwrGbWaUQiccsopBS/S5z//+RlV70FW9nvf+15x2223FfZp3WCDDQZZ9NiXtXjx4uL73/9+YX9R+9tOkpx66qnFd77znYnu+6O+38YbmJ900kmjvvSMul7g1Pl2iaQyfpHdd9+98wkTcESMaVNvMs/y3XffXchCXyePbaBX90t8FwgEAoFAIBAIBAKBQCAQCAQCgUAgMFEIBEGcqNsdjQ0EAoFAIBAIBAKBQCAQCAQCgUCgNQItQ0xbnxK/BAKBQK8IWNP7l7/8Ja3tVYY9AyXU6ZRU569//Ws6L1/Xecstt1w6P3/X7l2CEWupnNcqnKDd+fFbIBAIBAKBQCAQCAQCgcBkIBAEcTLuc7RyTBD47//+7+I//uM/0mJpC8j//u//Pi0OXnPNNVvWELmTSVJGskzwVl999ZQ4o1MCKdmIf/nLXxYPPPBAykS52mqrFdtuu23LazTUNS4AAEAASURBVMUPgUAgEAgEAoFAIBAIBAKTjUCEmE72/Y/WjxgBmVZ//OMfF2effXax5557psXjZ511VuH7VoLgnXzyycW8efOKvffeuzjttNNS6v0//elPrU55/HsZu+64447i6KOPLg477LC0bc3jP8aHQCAQCAQCgUAgEAgEAoFAoIJAEMQKIPFvIDBMBJ773OcWW221VSJ7vIC2ULj99ttTpsS66wotveeee9IxT3va01JGYURx7ty5jUJFn/3sZxc77rhjut7/+T8RMFCHcXwXCAQCgUAgEAgEAoFAIPAEAkEQn8AiPgUCI0PgqU99amE7DiGfthFYsmRJIRy0KjYxvf/++9P6wzlz5hTOW2GFFaqHtf3f+kbndHte20Ljx0AgEAgEAoFAIBAIBAKBWYlAuBRm5W2NRs0EBGy+/oIXvKC4+OKLi1tuuSV5+l72spdNqbp1h48++mjxpje9qbBnDbEOsSzWKPJEegk7lbzmec97XqNNzSXNcZ5r/PGPf0wk0rnPfOYzy5eY8hmRtX7SeYRnk6fSekqhsr/+9a9TPSTD4TFVbv4uk1V7yq244opTyo1/AoFAIBAIBAKBQCAQCASmH4EgiNN/D6IGE4oAErbOOusUP/zhD1MYKS/iS1/60kTwQIJs+U3W04022uhxgliGyzE28r7vvvvS19Yr/upXv0qbmgtlbbe5t/BVCXPuvPPOlADnF7/4RfJirrfeesXb3/72RF7L18qfZUNFaK+66qpUxze+8Y2J3CKIiOOiRYuS13ObbbYpXve616WNn202z/uJXCKl2oP0hgQCgUAgEAgEAoFAIBAIjBcCEWI6XvcjajNhCLziFa8oNttss+TBu+mmm4qHH374cQR+9KMfpWynCFsrj55jjj322GLx4sUFQvaud72rsNbw+OOP75iQhtfwsssuK7797W8X22+/fbFgwYJ07jHHHFOcc845LRPnPOtZz0rEFtm74YYbkrdw5ZVXTvX2jpTycqo3gnvRRRel9ZIHHHBAyqDK4ylRT0ggEAgEAoFAIBAIBAKBwPghEARx/O5J1GiCEHj+859f8MC9+MUvTp42YaQ8e3/+85+TV8+2GG9+85tbIvK73/0ueeVe8pKXJGIm1FPyG15EnsVWwit58803FzfeeGPaZoN3z5YZCKvfrr/++rQ1RqvzXW+LLbZI+zfee++9hbWS5De/+U2BAL72ta8ttI1X0hYdvuN55CHl2RRaGxIIBAKBQCAQCAQCgUAgMH4IRIjp+N2TqNGEIfDKV76y2HzzzYtTTz01EbOtt966QAx/9rOfFWussUYiU63I3qte9ariyCOPTGsHkUUv6/0QzHZbZ/z+978v7r777hQKypsnNJU4V5nInS0yWgkv5brrrptCRSXZ4YV8y1veUvBoKps3k2TP4rnnnls8/elPLzbeeOPUJoQ4JBAIBAKBmYqAUHlrvq2xzsnDrLEOCQQCgUBgNiAQBHE23MVow4xGYNVVV01ewq985SuJaC1dujQlfkG0hH62E+GcsqHy0lmHiCA++OCDyQtJgWklv/3tb9P6Q0Rtt912K57znOdMORQBlHymnTjXOkLhrLyR1hs+8sgjyau45pprplMl3dluu+2KE088sTjiiCMK5Hf+/PlpjWS7suO3QCAQCATGFQHEUJSGCAnRE6I+JOQy7j3jGc8Y12pHvQKBQCAQaIxAmLsaQxUHBgLDQYDVmTfurW99a1qbZ10g7561fkIy2wnP3yWXXFKcfvrpad3frrvuWrzhDW9IawnbnUfB4aVk/RZSKnNp+cXb145gKhuBfM1rXlMguN/61rcSSZTZlEc0W9K1AQHl5ZSQ58orrywOP/zw5CkVdhoSCAQCgcBMQ4BBTpIuUR5C8yX6+vSnP11ce+21KXpjprUn6hsIBAKBQBWBIIhVROL/QGAECCBfiBnLM7FucNNNN01hmBQP21tssskmjxOtMlnLn53P2yg01Zo+mUcpK37Px7RqSt6C4ic/+Ulx++23p1CpfKzkM75/4IEH8lct323VoZ5CS88///y0ztD6wyzWJCKiu+++e/IiSqLDw3neeeelcNZ8XLwHAoFAIDATEDDufuc730njmARjoih22mmnNPZKyJXD9WdCW6KOgUAgEAi0QmDsCSJFl6fBmiovn7NS3apRvs+JPsrndVKa25WXf1MGr4vwP4p0SCDQCwL6jjBP5Ik85SlPSd44ZIvMmTMneRXTP8v+UEr0Ze/Z86Yf/vSnP02ZT30v1EnYk+ykeW2MY1wrn+edSGaz1lprpeN5IGUj/fnPf1489NBDiTDKqIrcdRJrFYWWyloqY6lyy1trWJ94zTXXpOeRN1Sm1G233Tbtodik/E7Xn22/5/Eu3+Ny+9w760L1G/c1i+/1jSbjYj5nut5z+3I/bFePfKy2tRLHwEN49T333JP6sO/GTbS37p42qWcTHHI5+dgm+OZzZvK79ur3Te55P/egjJH7qE/SAYy1RPSFUH8h/vrjdEruA+2em1HXL9dpnPplrlPg1Lw39PMMZbxbjYN+p7d4zXRpilPGpO65GAc8xn4NIgXaXm3WNtljzV5rMijmNU51HUkHFALCC0Nx5S3hoVlllVWSla/unCbfqQuFnCJC6ZZdUrkhgUBTBCSOsW4FcWKF/uY3v5m8f9avIFASvcj26V3iA4OlxDH3339/euchlDXU8yB884UvfGE6DgnTv4V98v4tt9xyKYvprbfemkib7yg0niVbaVBoZE+VUVRY1GGHHZZCU51PyXn961+fXk3aJXRUWeq5wQYbTDmFAoVsSnwjFNUzbI3Oq1/96vT/lIMn/B/jFtKM6Ls/eWsTkwdskXchvPqQEGAKqZfz9CmKMk/yCiusMHZIGi8ZL7x8ppStuOKKqQ8wKhins2gvJduxWXnT7/V3uJSP1WZJli6++OLU3+fOnVv88z//c8cQ63ytYb6rm/6uLeqs3Z5p6321pZN0g0M3+Ha67kz4nfKUDWTejZ2eiar0ew+q5flfX2Tk0teMucSYaXz1PBqTp0O66S+jqt849svAqbu73+8z5HzzGs867M1Xxn7PTnm9Lv2abm0uYyCnw1SFLt+vHl8tc1D/d4NTk+eiiodlO+W5T72HjcfYE0TKEAVA6IaXwdl+ah/72McSWay7uTriySefXBx33HHJmyGjIs8FRcT53YibTtwcnTyv95J84+Uvf/msJYjldneDVxzbHgEKo60lhGRSaKw1lOzFukGDpncD4IYbbpgKQhas73O8/qYfMlIgl4614fy+++6byhSaKqnNnnvumRRRXpXbbrstlY9gCIXiqbRpPQKIpB1yyCFJ6b7rrrsKLwOzcKm3ve1tjYmGcySiQT4Zb8rCw2hQW7JkSao/YosoIqZlT2P5nEn8bNJ8cFnorfsFl6xkmlB9/+Uvfzmtd6KUmhSuvvrqBJN7DXP9Sp9wT5Hxbse5YWKubcZwW7joh+qmDyOAPOb6W24vxZ9RgWHD+i5tlTBJ30J+rdPVf7JQIhgotNk5xi3Hj4MwxLhP7g0C41nWJs+756sdSewGh27wHQdc+qlDVsL0Ea8vfvGLKQrDGmcYV6XJPfCMIZnZGFEtI/9v7GSgNgbTJbwIHUUWZyRREq529zWXNej3bvrLoK/dqrxx7JeBU6u71fr7Js9Qq7M9r8b6r371q+ld1FI2kos8kr09k0T69YUXXpieaWN8ftZy2cZ14//73ve+lGU9fz8u701xavpcVPFg+C2T5lHgMR4zaZs7zLNCmcS4rZXiSfEu7X/VW6EYHZIVwjG8Iauttloxb968gmLVrbDWs/5SUljzWQeRzTvuuCPVp9vyZsrx1XbPlHrPhHpShK3D86oTSV+8svCYIH2tsplSRhYuXJgGXYOHPk9sUu+ZQTYoNJLX1Mn666+fjqW8Ol4/5+XoRihOW265ZbIOulZZPHfWVhoUWdj9rs7lga58/CR+prSIeDCJ8i7BMhM8SvBZZ52VFNAPfehDaYKEkX5x0kknJYPVRz7ykdRn3D/7V1J4Tb7VezFd2Jo4ean1rf333z8ZDEx+n/vc54oTTjgheckPPPDApBDwnkv4QWE/6KCDHid7wp95CRctWlS8//3vn9I2E6e26vt1JGE62i0UWEImxMF9s1bXfV66bM0wUqO+73znO6e0o1zPbnDoBt/yNcbps/HBPc/3sVXd9G06gJB4n/UL4xVsq9L0HjhOmZ61duKZY4zICq1jRXgwuHkxduy4447tihjab930l6FVolLwOPbLwKlykzr82/QZajXXMAja4so4KEqJYdqz/qUvfSmN58Zs+j1hYKG/S3KHHJa9ZfRw8xsdHCcYN+kGp6bPxTjgMVWbGzfUS/UxCegcCJ/wPB4JHaYqFF2DvcmDZ8N5vYRcGfiFxl1wwQUpnC9fR3k672yVVu2ere2dDe1iSaK0ZHKoTbyTiFirgbvcbsdQ3nn79O9eBEmse86UjQwiPMo3uAc5nIqwMYuniZeMZymTQxOp7UO+8Y1vJBLPA5wFljzOJl4TDpx50Xg1RDlQnMdFjNdCqfXRPGYjwpIZ6bs8i0KgibbwNhpjy/2ERXmllVZKVmhje1kofbysymKhHgeR4OmWW25JRD6TVgqP+sHBPXXfW0k3OHSDb6vrTdf3vHZCyvQP860w6nZinBHOTtncY4890hzf6vim98Bzpg+5H+1ejil7GX0W2eEZlIVaIi7fOW7U0k1/aVc3zycPTzvJZL76HFbPGcd+GThV71L7/5s+Q61K8WwwlNHbGaOJcVo0FH1h8eLFjz8vnhsEkhHQOVdccUV6iRz8+Mc/njyHDDBNdJpW9RnW993g1PS5GAc8xt6DWL6hrLDCjFiSTb46i1DPslh3yBJImaJ4kLIlwv8GOF4yL4SIIsI6mC2DLJk6Nss9C4jB329Vy4Vy/C5UiuVDGY5p1YENvsKNXJdQ6Cl0lCGDsrLUh8dSOeqRv1OmB4pHiGLYTjq1z8BuInRNdXBN1gr1MEHXtdtvYqJ7qU+7usZvgcAkI2DcMNaYNHggjCFZjBXCiz13r3jFKx4njn43pnnxygqpF7bIKMDDYWy89NJLiw984AM9E/5ch0G8G1+EzlIMhEXnNiK5a6yxRorSQI610RjJwCcsiRecUdB5MPBb9oiX6yVsGcE0N6z+tzXhFHXnGNvhUp0DyucP47P6I+miXMrzAUOMsd09t5aYQlQn3eDQDb5115qO77RPv3XfhNm754g078GgpJt7MLfLCKNMDj1rDBeiJPRhfVG/HrWhopv+0g5fbWBsEbaew77Lx2s3ZdjYJJydrtJKxrFfBk6t7lb99908Q9USzG0IuWeCQZBxJ4txnE4p2s84iDz6DpE0Xmehy/qdEclY6phxlG5wavpcmM+mG48ZRRBNrhQg2RJ1LF5Ek0q2NCM8fkOArM3KBLHcoRwjPNX6LGKSQvCE9eV1UdzZyl66LBzIZK4ciljZgm+gMbkhpCYJHVjSGmuCymtkytdmEXCstWLqwRKK5HpQDLgsJyZKYaxCxKwpErrCq+N6wmi0q1yPcvk+d2qfh9QAL0RHmBevg/A2CpzPOQyq2m7Ys/J2W59q/eL/QCAQeAIBY42wUJNoVTn2fDLYmBQzqcpnZmJoEjaJZjGhON7zbV1o9l7l36fjnbXYOlkRHeX1WQxgQnPKURkrr7xy4fWFL3whETyh2MivCdjYhmDm8T63BXbGcGSLcgEb5Ax2xjOKbJ2ym88f9Lv5J5OFqkeekY+Bz3zBU9qKIHaDQzf4Drqt3Zbnnue2m9+QEUZea6Ezue+2zLrjB3EP6sr1nWeO51Af1c8YkN1LugRy2Gr5QKvyBvF9N/2l3fXoGZbnWI8uBLr83CCH9Ct6CmJIX2gn49gvA6d2d2zqb/0+Q87Phr3qmO1/L+O2ddkIIt2+KsZR+rrnigFxHKVbnJo+F+OAx4wiiDqHTmLvoX/7t39LISnWZlGKiEGbssDyjNDUiWOOPfbYZI0//vjj02BvHYzPBj0hXqwdyB4li/V3hx12SNelfFDoCEJnEMXyKSBIlsQ4PI2S6NQJ5chNN8Aq20NhwCLeKXYs3epvIOZal6yEcoXUXX755WkiakcQO7UPftz3Z5xxRlJUKGgmBRM3QVqF+lTbbd1lL/VJhcafQCAQqEWAkYnhJXvTygfl5xIBpJyVhTJKuTZmMOZk8RkRY9TimRkXgmhSLIs2ZaurNZc5KzUibAxWd+OdMdZ4b1xlQc7bwOSyspWaIqKtxmXEg+VatIPPiPZee+2VTxn6u/tmXEVOc7hwviiliJEO2UVkW0k3OMC2Kb6trjfs790fc7P5ifeU4ifEWFimOXTQMoh70KpO+i5DLq+/+4jwZmHcpT+MWrrpL+3q5hmiU0mKJVQ9k8QyOfQszp8/P4097coax34ZOLW7Y1N/6/cZMs7Rw0WpKassouiM1cbJrFOXf/eZTspY4TiJzMZVusWpn+di1HjMmDWIuXNQpJAYVmWTP0WIkmAA480zESF3rUQopRsqhIJyJcST5ZIlg6WCsPoaBE3uPiN2OnrZRY5A8eYdfPDBKZTLgClsUx3Up5W47hZbbJEIGNe5cwglxsRj0tRGkw7S6TueRwM3D2enybRT+4RsmQB4KD2cypXt1cblQtK0ta7dvdanFQ7xfSAQCBRpckT2GJ/KoTWwoWgyfgmZNzYJTTG2OF4kAiVVxluvLHlSNsZRyMdVeF4QBWOvKIpsKFNfBrL99tsvRUpo+ymnnJJCbXOYe7lNxjBEGfGClzLNBbynucyyF6R87rA+u757JTS2PGfk6yGO+Zj8Xd17NzhUz2+Hb/XYYf2vne6PaB3b8Jhjvva1ryVjgKyj++yzT8f5rNe6ZXz7vQd116cTMBoztGpX+XXooYfW3vO6cgb9XT/9pVwXHl0KOb3Dch56CL2GYZtexENajgQon9vp8zj0y8Cp01167PdBPEOWEAi3ZqxjTMnifxEevG+uUyfGDY4RxsPq3Fh3/HR9Nwicmj4Xo8ZjxnkQdQKhWNLjnnrqqSk8S2ppxJCrWodEojLZq3YaYREmJ6E+yJSXzuomlztw9bzq/0gc5SavbUE0WafUg+WjnDCkfK4JS0gKcskCSaGx5x3LKosyCyTJyo0MUB6OjTfeOLUNMW4nTdpHaUECKU4mA8pV9rjyaNRJr/WpKyu+CwQCgccQMP6woNaNF4iftU2iDWyNwrhkvROvmuRZxoW6dRkUWGMQLw0lPY9R44K5cU5SHoqnlOU8iFkQW2OQur/97W9PxjSexBzG/9GPfjSNkZl4IcEmTeKzccp6MuM74mm/unbrpPJ1h/EO9/L6Q9egEDH6uS9eraRbHMrltMO3fNwwP2fPrmgU62i1mSeYB5hhdlTSzz0YVR0HcZ1++kvd9ekF73jHO1LU0IknnpjGJ9EJ/ZDDceiXgVPd3W7/XT/PkOg6xgZLmESh+d894BWkC9ND68gfAxtvGeLEkDQTpFecmjwX8GCwGTUeM86DqKNY48dLSFlCsJYuWyuIbAGaQtVOTE68aCybJi8vFmgTWrsJu12ZfsuhQ8rxaidInjBRSpAshepCuaFM5FArAzQrOG/BEUccUXzqU59KYVc6YTvppn2uV1VgWpXda31alRffBwKBwGNhNAxTmfCUMTGmIDsf/vCH0++nnXZaSiAlasIEixwyHFXFxIuIGA/7GdOq5Q7ifwY0+xUKod9tt92KnXfeOSkKuWxjsRToMBGVYUsLSwAopqI8zj///BSamo83brJEI9omTx4O0RjGYKTbeNhpzMxlDeodQeftVAfEqCwMkch7Pqb8W/lztzjkczvhm48b9rv+R8E788wzU1vf+973JqPuqMhhxrefezBsjAZZfq/9pV0d6ClyM9h2RvkIfjYktzuv7rdx6ZeBU93dqf9uEM8Q4xxDg6g5/cjSATo7nZczx3jA2VIVzh6GUHWg54+z9INT0+cCHnKXjBqPGUkQkRpeOJtmWhx+2WWXpY4n7EHIZDtBuPJm9xQH+8NJfECpGpVQXAy8iC7rKpIoJptnNBM2baFA8XZatyic5fDDD08e06rSUa73sNrXa33KdYvPgUAgMBUBCUuQGhbCOjGBGqPyBsILFixIZNGkauKtrj1ThvHBOKLcPJ7UlT3q7xAjCoIEY8buXXbZJbXFJGn8Q2aNh5Q4hj6Tofpro20NeBuRRIoGofxba4iMKEvkiHBURDrvaecYr1GKelOMEHxtLgvrue9YzVuF6XWLQy6/E775uFG8M3gwXiD2llGYo5cuM+Ty9rKED1v6vQfDrt8gy++1v7Srg37KiONZtexl9WXRUrz+nrdujU7j0i8Dp3Z3/Mm/DeoZEllnrfHee++d1svT3YX5Gvd5peuWTYku0f/MYaM28D0Zifbf9IpTN88FPKwLHjUeM4YgergpAnmyN2BRIky0mLUYeeErWSEqD2L5s/NNUkJTdUohTFzcfs/H5K6gU3r5Pl8z/zaId1t2qK/QUlZxk6aBOAsruAfIgyXEw0RLcbKOQ0hsnXTTvrrzfdeq3b3Up9U14vtAIBB4DIFyaHq7cQbZ4C0zVli7bLLN4ehVLJFNk1Z5bWL1mFH/T+E01gn9N84ZezOBspbSehPtF25rDM+Jx3I94WTtObKoLIJUGhMZ3FioeRwZ+3hYWZ/hgFDypI5S1J/xzxxTvbY6Gdfdm2zM1G6exXz/u8VB25rgO0oMXIvl3z056qij0n2z9+M555yT1uzpw+7fsKTbezCseoyi3F76S7t66Uvuj33oGKjcP9nZ85rEbkjiOPXLwKndXX/yb708QzAuj2XuP++XhGT6kiSJxkURMJ5/zg+exKrQN+m5dUsvqseO+v9qG3vBqdvnAh6Mq6PGY8YQRIBSHkyuhIWSFy5ntZO5j2UiC7Kko3rPHjeMXUfNVmeWTQoEa7OJ2+9ezsux0Vzhrut7A2QmjDqJV5b8vXevTsIDIFEMQsZSQgHyAGURMmvxu2tQJHgOrKfxUOksddK0fdoKlzI2ubxW7e6lPrnM2fKuX8Be/zHA5X41Lu1THwppTnw0LvWKerRGgAXVWmD3TJhknQi39PwxDiFYwvVkNq7bD1UfNUYwnAmlHwfRLxFAhjyfkSNjnrYIN/VuPEcY4SGao5wZUhuMqY4R9paJlRB96xXhR8kwUQvtNIYRIac8klWSln4c8p9cT3OLcTmLucR9lrjBmlLtQnKRJ5iQbnFoim+uw6jfJQ8SSoxoIPnW1NprV5v1a3g0mTOr9TY35nnMe1Wa3oPqeTPt/277S7v2GT/K5JBhml7CMOMe0oFkM29CEsetXwZO7e58/W/dPEN1Yxmj5umnn16cdNJJSY92FTq8PmaclrG6ugZRv6Ff0b2N5+MkdW1Uv25w6va5yHjgLqPGY3RxlT3eZcoRZcFEImuplPAsEBQJioIELwYt76zmyA/LA6u0d51QZ9RRhfRQJhyHfFFUMHJKhsGDoiJ8yWCIwJnE7fsntIJw7ypHua7pPMeYqNw8Sh4CYcK3Zo9C005YT0yYyrOeqCwUC+sjJZ1hjfbAuL5Fvv6vE23t1D5lCkOFqevCBrE2CcCgrt2+66U+dXWcqd9Rut1v99a9ds/nLlsfBjskfzqF8cQ9Fb7lfvK+MCaEjD8CxiBWVQv4edhsa0NMRMYYz6j7agwyYS5cuDCtX241tjB4WZNnLXOnfcpGhQ6ilgmBsdsaw9xGhEnCLknHiDB7OCAPko8xnMHCcZYTCFcyBhIE0fe8hsZGYozX/02qnlPnMh6OWtRBvZAha/GEVCEx5jB1ohgZc9XTXPSJT3yiePe7351IlPGkGxy6wXfUOJSvp73uKaOueZbBgIHA3GcuZNCwxg3RbyfuuXvvuTAfI5is60R/yWuWmt6DdteaKb9101/atYlesHRZlJUQ6UwO8/GZJF566aXF17/+9eRVbOfRGMd+GTjlu9nsvZtnyPhWHcuQQbojHYVu7Nn2rHp26U91+8Ca9xxrHJRsbJykro3q2Q1O3T4XGQ8YjhqP5f7vMqm7AdzCBguhkAb26RKKrwHLwlaWWBOqSYBixfJAUaIMSVqDIJk8KFt5nQrrJeKjDc5xrv9ZwNwoJFNHNWnryCYok7njdWbKFlJgwHQdMfkmJdZ7bD67yxEvdXO+c1kUOt1MSg1rucx7FoCXiYZ2u5bJD+ml+LumdUetCKL6GrDbtU8nyyRamxzv+hQvdVHnars9xAhSt/UZdZ9x7ymFGf9BXR9ewtakaF99WWizfsiKiiQi+PCaTuEhsY71s5/9bHH22WenPmmN16BEOz0f5f45qLLHvRweKOPCsAh3VrBMmJ69bHDQ5xAi9xVhEi3Ba0hJ83zXiXvEkGbsm7tsTBtUHzAWGQeNE8a7boVCcO2116bnRB3zSznajCAy8HmOGP6MoYx11l3AwXjLUGesF0qa1+6pE6McwuG5zOV5R6yNb/DKx6cDuvzjHiDd5oRO43m5aHU13/DIWP7gf3OqzwiuEFvjrWeKAuAdoVRf0g0O3eBbrmOnz/o+HWDQfZ+B1v0yZ5t3ZDhEFI0z2l3nGS/XlTfamnxzIgOyedQ8qa5wziFrTe9Buezp/pwx1z+6kW76S7tyYaifI/Lm0aq4X8YBzzDdqur9KR8/rH7pGoFTGen6z54N4xfp1VjYzTNUN5bpH8Zh7+Y6c5mxXPSEsOU8/5VbQL8yHyKXlpHhIIOS3G96HdPq2qhu3eDU7XOR8TAP2l5nkHjgNvQb/aPuWf67ZQ96bTwkwsPaWd6IflA3abrLQeQ8PBSt3EFN0shTJoa5jo4zyevkwxBls0pUlY+slKsrAkB5oui0Ug7LdeumfeXzyp+r7e6nPuVyh/mZh4/FniUa4R6UGNSOPvropMRZD2rgssaJQUI22nEQ90dyDhlv999//+KTn/zkQKrFMIB46/8U90kTSU9MaJ///OeH1nQYS5ylnx144IEpCiCHtlOWmxIc44RyGEmUQ5EbhCCdlHgktRrpMIjy68ow/mgHUoVIMeSJjigbY0ycxk8Ymbiz+M75Ju1+Q3IWL16cyCpyXqcw52u2ejcWm4Apauoj4oRi3VSa4NC0rG6Ps1afDjDMvq9O7heyxwBJ+Vl//fW7rWrb4/u9B20LH/CPxhuYC8nrRaazv/RS317PCZw6I8cLZ/wicln0I/08QygGA46oPrquMZBBo50wSjqHZ66qG7c7r9Nvwx7T+sGpXd3hwWDKgDxIPDg+EFb9Q6RgVcY+xLRa4UH8T+HIIUm5POy5jkFTMPpVMvI16t4pDV5VyYoQQlh346rHl//vpn3l88qfq+3upz7lcmfiZ4qq9UEUF6TQa1DemUHh4f4YOAY5ePDeMBQhSAxFk0gQB3V/2pVjLOIZ86zDe6uttkpYd/KklMtk4GId5VETvjgocli+xig/G3+E6Xu1klb9vdWY2qqcYX5vLEZsvXqRJjj0Uu44neN+sWD36uXo1JZ+70Gn8sfp90noL4PAO3DqDsV+niHGO0ZOkSJNhc7brd7btOxhHtcPTu3qNV14TCRBbHcj4rdAICPAQ8EKx7MjzIxFS+iDECmhyhR71jEeIF4Cx1NaheFkMsWiRGmnwDveAJKPNWg61gCqbGFxPIG+Y2Ere0WU4zpeiBsy4biqoSPXvfzeqY7lY/NnbRHWbe2YerFcuZZ6mVw7lclSqN0s2rz06qyNcNPuQWDCk6tuys4EmZenG2KV2zvd77zeQiWFx/PYSWDFENFE9A3WRSHzwhS9QgKBQCAQCAQCgUAgEOgVgSCIvSIX5816BCQGsjbGCxERJrZo0aJEkqzLFPYmWYI1X9YWWb8hTNl6JWtIkClhrxZuU+B5IJGjG2+8MZFO54spR2h4f1xHnLm4+z322ONxCxqSZU2WtTdEuAHCKuSPt6ld6BvC2a6OrdaUCStdsmRJWv+rHUIRhDAKqeUNaVcmcoxIC/dFsHkGtF+Y4txla+OE/1qT1g8miLKEVbybCDvckVZWynEJ++32AbF2Sl9gQECgGQCaCDIPA+v4hOSEBAKBQCAQCAQCgUAg0A8CQRD7QS/OndUIUNCF/lHWkTzrY2R24wXkFaPI2wAaWbNRN4JibcQxxxyTss7utddeaT3JxRdfnNZSIVhInUQUCOcFF1xQPLhskbANpSn4CKQ1V2eeeWYiBxZxEx7MY489NnmUjj/++ORlPOGEEwqfrQ0UUthKOtXx4IMPrg2htk5KEgkkj3cOkZVtUxh2pzJ32mmnlETijDPOSITHejoEDpERrosM94uJuHmJgmT9tD4MIb388ssTiZ+pBNE91OeaEsN8z5FK6zpCAoFAIBAIBAKBQCAQGAQC05t+cRAtiDICgSEhYG0M7xwSJqRTaCXlnRcQSZRhkjdQRi4ET0ggEiW88vrrr08k0VpFmU558mQvPOCAAwrEEaFUFq8kz9E+++yTiM5uu+2Wwkh5JLMIzUSwXEd9hGmuviwLIGLKs9hK1KNTHRGrOtEeIaXa5LM28wwii53KRAStWRQmiRzylB533HFpH7/DDjus2HLLLfvGhLeWB1J4pfBd1+BNbeURrWtjfBcIBAKBQCAQCAQCgUAg8GQEwoP4ZEzim0CgIwK8gbxYMnMhecI+Cc+gkEqLipEjJBPB4nFEsPK6QkTPMTL4lRdjI6HIqPKzKO/II49M6xuRxbxeMWdrzMdV35vWsXpeu/+blonEIpfCUSUa0aa8LlP4ar+Y5CQs5557bvJq8sIi2raXCQkEAoFAIBAIBAKBQCAQ6B2BIIi9YxdnTjACSI51eAgJr181dX0OQ5VIpU4QJscgeWXhoROqyjPmHaFEJiUx4TGzDhFBfHBZaCqvpGNaSdM6tjq/7vumZaor0R6vJtINJkjndtttV9h2xNYe9u2aP39+CuFtcq04JhAIBAKBQCAQCAQCgUCgHoEgiPW4xLeBQFsEZM5E/oRTCuWsrhsTEorADUJ4J62vsz/WNttsU+y6666JOF511VVtix9GHYdRZttGtPhRyCtizlPJi2jjbGG5QliFmiLfIYFAIBAIBAKBQCAQCAQC3SPQzLTffblxRiAwqxGwLjFnKb399tvTVgu5wcih7KWt1vfl45q8I59Lly4tbPBqfZ3sqEI3eQ7beQ+V3W8deS+9XCeT3X7LbNLmJsfIjoqg2+CVF1HyIF7V8847L4X5NikjjgkEAoFAIBAIBAKBQCAQeDICQRCfjEl8EwhMQQA5QtTKIZ08VzJHShRzySWXpGyf9qF76KGHCoTRhudIjPO8qoQul+k34aRZ8veZlOXMnw8//HAqR0ZV15RJlDfP715IaS7LO2lax3zt6jsiKmuptZRCS13Hd03anduR61Qu23devWKiLHsFyizrOhLULFiwoNh2221Tgh+4hwQCgUAgEAgEAoFAIBAI9IZAxGH1hlucNQEIWB9oL0TEz757Qj0lpeHJk+FTdlLhjPb0E9pog3LJaKwRtE+iLS14Em1dwduF5ClPghbeLuUhXffee2/KUIow2QYCCURyfJaMRaIX5yBEq6yySrqGcq3Zk8XU/onIoO8kkbE20rWEvXaqo3q2EslzkEF7DV599dXpMN91KlNSHRu+yzQqaY/2rbvuumktJTIMj34wWXXVVRNBRsJdy/9wdU9kivV/SCAQCAQCgUAgEAgEAoFAbwgEQewNtzhrAhCwfYJ1bYiOPQplGLUv4CabbJL2RERGDjnkkETE7rrrrsJrzpw5hX0A7U1og3uEkqyzzjqJxCBxyByCuNJKKyUvmoQuyCCC6FrrrbdeIjuImcyfNn+3158tNaw7tIWEPRKRRklrbEAvWQ4yZg9AmVOdi/x1quMKK6zQ8k5KvGPzdW248847U7bVPfbYIxG9du3mbbR3o+Q6yudV1W5kDvkdBCaIqvDXJUuWpH0lH3nkkUQMEXbXDQkEAoFAIBAIBAKBQCAQ6A2BIIi94RZnTQACyBmC5FUnPHiII0KH+AjzdA7iRmxgLpGKV1UOPfTQwqsqvI5VQSgXLlyYCKdr8lIS13VNhEimUMlr6qRdHeuOz99J9GIfR55R3lTrD7O0K1O7DzrooPTKx+d3Xs1BYDJ37txi0003TeG5vKbaL3ENfEICgUAgEAgEAoFAIBAIBHpHIAhi79jFmYFAQgA5yXv8DQsSZE0IZVmsD/RqIv3UkefUqyr9lFktq9v/XZsghOV9JLstJ44PBAKBQCAQCAQCgUAgEJiKQCSpmYpH/BcIBAKBQCAQCAQCgUAgEAgEAoHAxCIQBHFib300PBAIBAKBQCAQCAQCgUAgEAgEAoGpCARBnIpH/BcIBAKBQCAQCAQCgUAgEAgEAoHAxCIQBHFib300PBAIBAKBQCAQCAQCgUAgEAgEAoGpCLRMUiMJhD3L7MeWszJOPTX+CwTGCwF91dYSMoraLiIkEOgXAVudyBQ7yf3JtiWeK/t7ThoO9j91/3/1q18lDPrtTzPp/D/84Q8pe/Gk3fPpvEfGGxmjA/P2dyFwao+PX43X9l8m0Z8SDEWMaY/hkP/SlW0X1kpaEkSkUOe65ZZbGmdKbHWR+D4QGAUClDmbxFNobX0QEgj0i4D9G0209p+cVPE8/fKXvyz+9Kc/pT0tJwmHhx9+OI0n1113XdpfdJLaru+795Pc90d9v2O8aYZ44NQZJ+O18YvEM/wYXvacnvT5/DEkHvtLX5YdvxVJbEkQbdrtJCfHxtNlSOPzOCPAi2hLBnvihQQC/SKwwgorFLYYmeT+xKOBKNhSZdJwMJ64/+bA5Zdfvt/uNKPOj74/+tsVmDfDPHDqjJOoD5EPZNLG7VboRL+Zigyy/Ne//nXql6X/WhJE1gfkcO7cucVqq61WOiU+BgLjiQCrInnRi15UbLbZZuNZyajVjEJAaI5Iih122GFG1XuQlf3e976XjIWvec1rig022GCQRY99WYsXLy6+//3vF1tttdXEGUofffTRie/7o+6gxhvhk5M83jTBPHDqjBLjFkcPif70GF7GtHi+HsPCX5Exd9999+P95IlfHvsUSWqqiMT/gUAgEAgEAoFAIBAIBAKBQCAQCEwoAi09iBOKRzQ7EBgqAix6f/nLXx632AjjlhDKq50IA3BeFuctt9xyLWPH83H5XcIpljPn/cM//EP+Ot4DgUAgEAgEAoFAIBAIBAKBKQgEQZwCR/wTCAwXAeGKFgY/8sgjxX/+53+m9ZIveclLijXXXLPlhZE7i6t/8IMfPE7wVl999WKVVVbpuC5KBkYJRh544IHi3nvvTeHi2267bctrxQ+BQCAQCAQCgUAgEAgEApONQHu3xWRjE60PBAaOgIXjP/7xj4uzzz672HPPPYvdd9+9OOuss9qm0EfwTj755GLevHnF3nvvXZx22mnFgw8+mLJKdqqgtM533HFHcfTRRxeHHXZYceutt3Y6JX4PBAKBQCAQCAQCgUAgEJhgBIIgTvDNj6aPHoHnPve5KeEFsscLaGuO22+/PSXCqKuN0NJ77rknHfO0pz0teQCdK3lUk1DRZz/72cWOO+6YyKVsjCGBQCAQCAQCgUAgEAgEAoFAOwSCILZDJ34LBIaEgH1GZVuVIViWyCVLlqQNuauXs5Hp/fffn9Yfzpkzp3CeVM3diPWNzun2vG6uEccGAoFAIBAIBAKBQCAQCMwOBMKlMDvuY7RiBiKw9tprFy94wQuKiy++uLjllluSp+9lL3vZlJZYdyg185ve9KaUktiPEs2UxRpFnkgv29NIXvO85z0vbVNTPq7us6Q5znONP/7xj4lEOveZz3xm3eHpO+sarZ90HuHZ5Km0/6QQ2l//+tepHjycPKbKzd9lsmpfuRVXXDGdH38CgUAgEAgEAoFAIBAIBMYHgSCI43MvoiYThgASts466xQ//OEPUxgpL+JLX/rSRPBAgWz5TfbSjTba6HGCWIbJMfZpu++++9LX1ivaHNeedZ32bhO+KmHOnXfemRLg2FsK+VtvvfWKt7/97Ym8lq+VP8uGitBeddVVqY5vfOMbE7lFEBHHRYsWJa/nNttsU7zuda8rvvOd7xTf/e53k/dT+Uip9iC9IYFAIBAIBAKBQCAQCAQC44VAhJiO1/2I2kwYAq94xSuKzTbbLHnwbrrppuLhhx9+HIEf/ehHKdspwtbKo+eYY489trChN0L2rne9q7DW8Pjjj++YkIbX8LLLLiu+/e1vF9tvv32xYMGCdO4xxxxTnHPOOS0T5zzrWc9KxBbZu+GGG5K3cOWVV0719s47yMup3gjuRRddlNZLHnDAAYUMqjyeEvWEBAKBQCAQCAQCgUAgEAiMHwJBEMfvnkSNJgiB5z//+QUP3Itf/OLkabvuuusKnr0///nPyatnW4w3v/nNLRH53e9+l7x+tspAzIR6Sn7Di8iz2Ep4JW+++ebixhtvLJxrbePyyy9fIKx+u/7669PWGK3Od84WW2yR9m+0fYa1kuQ3v/lNIoCvfe1rC23jlbRFR96HkYeUZ1NobUggEAgEAoFAIBAIBAKBwPghECGm43dPokYThsArX/nKYvPNNy9OPfXURMy23nrrAjH82c9+VqyxxhqJTLUie6961auKI488Mq0dRBa9rPdDMIWftpLf//73xd13351CQXnzhKYS5yoTubNFRivhpVx33XVTqKgkO7yQb3nLWwoeTWXzZpLsWTz33HOLpz/96cXGG2+c2oQQhwQCgUAgEAgEAoFAIBAIjB8CQRDH755EjSYMgVVXXTV5Cb/yla8korV06dKU+AXREvrZTngNZUPlpbMOEUG0RyIvpLV+reS3v/1tWn+IqO22227Fc57znCmHIoCSz7QT51pHKJyVN9J6w0ceeSR5Fddcc810qqQ72223XXHiiScWRxxxRIH8zp8/P62RbFd2/BYIBAKBwLARMEZK7CWRVs4QLZFWnThOJIS11q2OqTsvvgsEAoFAYFAIdDNm9XvNIIj9IhjnBwJ9IkDZ4I1761vfmjKaWhfIi2etn5DMdsLzd/nll6fwVF67XXfdNa3/k0CmnVB2eCkpRkJKZS4ti/WFSGY7QSAlw0Fwv/WtbyWSKLMpj2hWoLQBARX6yot45ZVXptDZww47LIWaxt6M7RCO3wKBQGBYCBgDheILgxcib7yTdZlx6xnPeMaUyyKGojiMt5tuumkiiVMOiH8CgUAgEBgyAt2MWYOoSr2pbBAlRxmBQCDQEgFWIMQskzDrBikewjCRO9tbbLLJJo8TrbI3MH92Pm+j0FRr+mQetY7Q7/mYVhXIW1D85Cc/KW6//fZkRc/HIoe+f+CBB/JXLd9t1aGeQkvPP//8QoZT6w+zWJOIiO6+++7JiyiJDg/neeedl8JZ83HxHggEAoHAKBEQdWGsFcpv3JTN+dOf/nRx7bXXphD9cl0Qwy9+8Ysp4Va70P3yOfE5EAgEAoFBItDNmDWI6wZBHASKUUYg0CUCSJgwT+SJPOUpT0neOGSLzJkzJ3kV0z/L/iCD1hV6Z80mvH8//elPU+ZT37OCs4jLTsrS5Hcv18rneSc8emuttVY6/pJLLknZSH/+858XDz30UCKMMqoid53EWkWhpbKWyliqXGGvWaxPvOaaaxIR5g2VKVUmU57GJuXncuI9EAgEAoFBIWActP0OY5Us0kLld9ppp0QUZV3Oa7Jdz1ps4fvWahuDQwKBQCAQmA4Emo5Zg6rbWISY8nbkkLe89slm3xRbv62wwgpdtZcXg5WPl8S6gpBAYFwQ0C+FNCFOHvZvfvObyfsntAmBkuhF//Wu73ouJI65//770ztLt6yh1voJ33zhC1+YjkPCVllllbRukPfP8yMk6tZbb02kzXfWNNr30FYaQkplT5VRlMVcyOcb3vCGdL51jK9//evTqwlu9nJUlnpusMEGU05BVpFNIbNCUe2TKHzr1a9+dfp/ysET9o+xLRP2VqG2jAFIvt/rxkFlGCcZGhzDAy28V7m80/pBDvcdZ3ibYFGuv+O9GCa8xl0GVd9s7LEOLouyfU+MDzNNmmKjTzu21bPSTbs9V8ieMdEYxahlTLSe25jMeGdsdYxICs+XbXuMveMuMMpYMTyOg+Q6eVaNSeMguU7eA6dmdwRWXr2MuxnvbvtA3ZjXrLbDOaobDPJzOIgxS2uajFmDbPW0E0Q3n+eCwkzBtN+bgZpSQzFaaaWVknLZtNEUakqxjbml4aeIhgQC44IAgmRrCSGZlHmZRCV7Qc5WXHHF9I7obbjhhqnKvILW9zn+5S9/eXoueA2RS+fYcH7fffdNZQqXktRmzz33TKSR1fu2225L5Xu2WMlNhJ4NBNCzccghh6Tn7a677iq8eC5Z0t/2trfVEpI6HJ0jEQ3yafuLsvAwmhCWLFmS6o/YIoqIadnTWD5nEj5TUHlQ3V/jXXmfyzwJMCS41zwYth+xtrMsxk54OgapN2auvixUOa9bdT6SKPy4jlyWy5quz+oHBx4bkylcPAeegeo6MHU0OZsXtNm7tnqOxlUGWV/tNU96L299g7zcc889yfDkWaxTwBlLYTpOBLIJNvqHMRNhM47o8wxnkmoxkPUqcBDJMHfu3ISLcjxDCCOSiByqn2dI/4TruO/d6vmBkygSYwjRTjgZY+A3anG/1MfLZ/XyfJsDRJtMR50Cp+57QZNntVWp/fSBVmNeq2sN8/umGAxrzNK2TmPWoNs/rQQRkCxyJ510UvJ2CFWjUF599dXpfwrPe97znq4IImVKyv0rrrgipdgPgjjoLvPk8txHMhM8FU+u/Wi/oXhYh+dVJ5K+eGUxsSN9rbKZmvwXLlyYPOYUw5x5lLXbwIyEuS+S19TJ+uuvnyzjiIrjEZVuve5I55ZbbpkU/GofoIBZW0nxp3z5XZ3rlNi6+s3G72Dx4LLQNuTd/dEnysLLjNx/+ctfTkmLKFNHHXXUFILoXjEufPWrX02KLPLIY/y1r32t2HvvvZMnl2LNkGAM5MEdJ3KgvcYNRE8bvAt5zh52c4GtXzJJzJMub4+X9WCIkS1eMiEuYzjdnwddX+UJ4f7c5z6XCH+ZICIwF154YcJEX6lm2WS9lgDrfe97X5pfZxI2oh3oA/qy+2ycsmaQUY0RK5NESj9lMhOjVm00VmV8EBQvot/RG5BEmZaV61oiLzw3sjGLtBhXobx6LhjH4cMg4L4z2jEQuf/6xijFOIdU29uXgRKOnnNk0VIKhsjq2Dfs+gVO3SHc7zjWTx9oN+Z114r+ju4Wg+kcs/pr6ZPPnlaCaACm0PCofPCDH0wTmCqyglkX5WXA7kYM7LI58raUk2V0U0Yc2xwBa8ncLxNS2QvSvIQ4sl8EKAJZkc5l8ao09awgbf3eO4qXV1UyYUQIGX8mXSgoFpojRbwgiHWVuHmWeHspuxII8fxIBpTFpCuJkUQ/PIO8wLBFAk844YQ0bsqKy9CASF5//fWJvCNd+X7ksqbzndIosy3FXIgzr7a2felLX0rEmLGDp5kgAMKsb7jhhvRZ1AlDBjzHUQZdX/MgRVu49jvf+c4pTfYbJYaRAPkpe2WMzfoAr5gw9nGQptgw9sp6rH986EMfSs+A+710WWIuBgJ9GRbeHat/IEnthMFNSHx5vBR1JKrCC3HZcccdE2aM18L9kXH9Esaur/4+j9OzpJ6S7CDJBx100ONhuJ6Tiy++uFi0aFHx/ve/f6R1pigj1eaW/fffP/VLxgxGDuMU3A888MCRZoQNnNo9HU/+remz+uQzH/umnz7Qbsxrdb1hfN8NBtM5Zg2j7dOapEZYkUGYImsCy4LksS7xmhhEuhGDtolSyNuorVPd1HM2HOveUFguuOCCFOo2G9oUbQgEhokAoxiPCMs+D0iVHOZrU0Qpu6zta6yxxhTrv7DSc845J4Udz5s373HizRtCGeN9REKNhUij7xnbKIvjJBR/BGC11VYreLIJYwfjHuK7ePHipKD7nvHBOldEco899kghf74fVxlkfY2zvIeULcaCqlB6kWskAJ6iZ7wkW/n4xz+eDK9Iz7gQmqbYWPt3yy23pPDI7CVGfnmaEbxvfOMbycsHDwQODp6vdi/HlL2MPgvf1xcZVWRb9p1nhX7iOYQ78inclEGUF6xbw3X1ng36f3XkrWMgKEdn8BpapqPOFN1OwpjAm9pOYI2IdipPOLT1nO6VcgmjGMO955zBg4d2lBI4dYd202e1Vam99oFOY16r6w3j+24wmM4xy9g2aJlWDyIrnEHGYCzcSoILFj7C2sniTRmqitAi1mfvbh6lSKiWQceA7nuWU8pXLk8ZfjPAU7wMcJQQv2fviYnBwK9zsuKrX17H4zh1KltnldmuLk2u6ZiqGEyF1KgrYUmn5Bn8Dd7anuuoTib+XA/f+1/bYCLev5UY6F3Dy3kmFu0sW1fdHxOu66qH42CkLjJennXWWak+JlfnqY/feqlPq3rG94HAbEDAeEIRNWnyVJTHpmr7WCIpT8YbhCkrfZ7ZO+64I3kFrbEuhyPn8dTYh4DylDC+eadoX3rppcUHPvCBrkOIq3UbxP/qSlkzvlMajeNZjFvGEOvqGBAzecy/T9K7OUvIoHvKiyysuCrwQrLLEQP6CezMX+ZVx8w0QWroBupfJrfma/OMZ0kbkWN9aO6ycPZuJJNDzwYSJRTec6NPet7oAHQFzyvly/PoPiCL5rocntrNNYd1LJ1BvWBmeQGDO33IPOw397+MYat6aP+Dy8LfrSWvM7DDjBJMPxG6DqNWQleg16mH9fJ5vBPtwOiVxynrq0clgdOokH7sOr30gSZj3mhb0fxq0zlmea4YzwYp00oQNYjy8pWvfCV5oZCanXfeOQ1uPhvoymsIdRwWdaEgrGWUKMQFCdp4442TIoU8CcvyYqmSsINQSAx+wjCEZ5k4DRauYf84E4wBVqIPYRCSf5hkJddwnhh+lmt1Jp3qgjCZZNpd09qAOjEZmbTURftYzlmAKU0GZpZidRVKq16OZ6mDi7Ar7VI/bRCqVifKtWaJt4GwlsKWwpkTiJhcTAbCumDCG8EzYdD32TWE+5isWQOtMXM9E3i39amrY3wXCMwmBChEwj0poNWEM9V2Ik/GKUqaMTKLcevmm29O4xkDWtkDydBj/GP8KlsTkQcKoudYZEX2xuQyp+Od4Skrr5n85nr438t4hBxNMkFkjKOwI3+t7lu5f2QMzTvGd/PVKBXwfP1+3/UPbfCsVNdE0w3M+Z4FegCC2K3QB3gOv/CFLyQSar5WlnkQZtaIr7zyyqlY/dRvCCmF13rEOk9ut3UY5PHq6qU96qv+1mlSWM31CFr1Oau7Pt2B7iRhmfDdMklEDnmy6R+IIR2gnTBsSaAmwU9eK+p44xPdzX2l04xSAqdRol0knbzbPtBkzBttK5pdbdhjllp0GrOa1bT5UdNKEFngrMFhFRUucswxx6SByeDGamigLitAFKzLL788DVKOQR6F0kjSIdPjRz7ykTSQn3HGGWkwR/qysARedtllSenYZZddErk55ZRT0jWRLqEliI/F/gZUg5gB1iCXbwqr3Dve8Y5UZKe6/Ou//muynLW75sEHH1w7QBpMTfoGYkodBSlPVt4pezwLyC3LO4+CcCKZLz2MSB2cTGqtCKI2HXvssQnf448/Pimc1gX4bPAX/oYUClmCpwnZoG4CgQ1BXIWYskzusMMOSRGhyPRSn1Rg/AkEZjECPBAMJ8Y1FvR2ghgx3lDuy8QAaTQmULrKxjNlIYieWRb7slLNgON4Rhxjbbm8dnUY5m858kNUgjGlLNphTDbeGGcnVeDCQ2a8ZQg0rjYRx1PyYWipxkwUbXf/GSHLOoC2IDr6j3maUbIXYfxlZOUdVA6ymYXhtaw7eKYQJqTSs0TXQGzaec9yWaN6550zZ3u+zf3qa39Hnk5QN7AiAABAAElEQVS6VN5ft1N9jA2W9kiQJSw9k8QyOVTm/PnzO3ql6U5eZYF79rLQ/dZcc83yz0P/HDgNHeIpF+i2D/Q65k256DT9M+wxS7OajlmDgmBaCaJG8PIdfvjhaeDlMUP4DMB77bVXsdtuuyVlhsKDncvQhZCwgiNHhBULOTFRUIr8xvpugMziXFZ3yXB4C7PyRPlCgFj1szfOJEwBo3zJBoiIIUef+MQnEjFVZpO6CMtkbet0zaqSl+ssxEMImbpREpSHGJqsDLJwo2gSkxvPnu94DgzyvIAs8K2ElUaHhkEmnKsvS5HvHJZnkw1CbLIw6VBslfve9743KaIwoPCavGGE1OZQ3V7q06qe8X0gMFsQQHZ4KJDDcjhgtX2ebwSRN9A4kEPZKMueLaHdEmd4XstiDHQOxTWHc/k9kzHPO4/MuAgchMSoMyU9exP8r43GGIrpJIp7DQPjvT7Qrr9U8WFYYCQ0N3ZzXrWc6fzffeetM/frv1WBTz6m+luT/+kA9AavTmIeZJD2GmehE+23336JyNKhGMDtpyu6ilcRsWsiPKQMC0LSJbgRvUT/oJspAw5lj2CTMvMxQoZ5Yo1dys2G7/z7KN4Dp1Gg3PoarfpAP2Ne66uN7pc8Hg1rzNKSpmPWoFo97QQRuUCS/uVf/iV5uyRfQEZ4sliaeAV501gTDSwmzHJIDS+fDGeUH4RJeQb/crw9xQnJwb5zGAkAKSImUecpH1FyrncDVw7JoKD5jHjqxE3qopPw6nW6Zqsb6XxhL8JEWTm13WDP86c9CG2WPMjKCEghMCFQvmDTSrRbinjhOsiiFzx0cspaFpMzEijUxMQBh0wEEcQ66aU+deXEd4HAbELAM4Yk8pq1E8+hccM4VLbAG+OMf8YGHsGy4mxcch4CKZysHBrmWsY1niVhe441Tk63GPcpoiI3GOb8r408X9po3JmpBKdfbCnkxlekudwHOpWLVPEeUsL22WefToeP/e/6aXkuV2GGA0YU/dgrpEjPjf7i+WYEZ1zmSbRUxZjw0Y9+NOkM5TGjHW7metFSdJgTTzwxjVm8p/2QQ3qLBF2M2bZc4UEctRhfAqdRo/7E9dr1gV7HvCdKH49Ps2nMmjaCaGAXsuGdMsAiZa821p1TTz01rUm0NlGsvxBSSgOCRtFBarK4GZ2sWZQyAyfCxCtZDh9RjutT2gykdWKCcp1c3yZ1QUSbXLPuevk79RUiiizzgOakPepTDs0wmPOcGsiPOOKItI+TEJByAotcZn6nfLKMGqxZnCmvDy5b65LbmI/L765Znajzb9X3XupTLSP+DwRmGwIIGuNLJyWNcs+LLwNh2RhmAuXhN35V9zQTOWDM4SmwvjEbaTKGxjiKtQnamGs8m27h6aSE8kpYG07UnwGOgUubcpTEdNd1lNdnpGMURPjnLku8kteT6j/Zq+o7/ch8WBaeZ9EzyLXEKzNVtAs5Nh8hg2WBDyzyMeXfJvWzudv2MEicZSaedwZlSeQsczn//PNTtBBvdFOhf9AhPvOZz6QkSPSzbBxuWkY+znMtAkxUFR3Mc6+Oo5bAadSIP3G9dn2gnzHviStM76c8Hs2mMWv0T+jf7iElRQgNhQmhIJQWmdqszTMRfv7zn0+JV1h8DCYUBwqOMK0yQXKu4zPZ9H9ZWFV1zjzBlsOvHMeq5KY2FeV0qosJvN9rIq0GaMqgkBEk0focCmCZrCHIBl2eTl5EYbPWKkkJL9S0biCGIQujjbR5Iw3+8Bfm26/0Up9+rxnnBwLjjoBQdWTIeNRKjGGUfGTPRvGrLwvFymKcMl4qp2oUM0YiBsZSa4OrQsk2Zrh+eeyoHjfq/43F1n8zulknrl0MevbHpey2SuQ16nqO8nrmOMZFOOQkYq5PuWbI8xtCzXhazVrH4Oc4USTjYAToFTfKFgOCiBXzbVk8B77jXa4+B+XjJuWzMYN+gPwgXrAjPM90AM+Y50mfaUoQYawfySRs6Yoxh/cP3qITuulb7pUILmVZS0vfMAbRj+htxqRRSOA0CpTrr9GpD5gTex3z6q84+m9n45g1rfsgGtQshEa2yiLrnoQrrFUsCzoPjxeLKOUpZxPL5+h8vIsUjDox0VA2KFHCb8oKmoHQ99ZsNJUmdaHIDeKaCLMF5kJLWQERTwN2WYSdGWwpWryIwkBMFjbSZoWuikF56dKlyVNLAROSwuJsAPVqKiYJL+eUCXa39Wl6vTguEJjJCDDgUNY8q+Xnpdwm4wYl37iE7JWjJSjEymDwyeHvzjWeIYfGCKTS2FkVx5jAxin7ojYazy0lMKZaD208QhYZwnhPeRJnu+gL5rncJ3gGeYAp5fDJLwZV2PAk+w6BrIqx15jfKYy5et64/Y9AMIzqDwhzWfRlz5C+PA4Jl8p1m47P+o2+ADO6U1mMFwxGyKLnrYk4Tt4Daw49l0cddVTKBk/3sCYxL7VpWpZxSUQEvYWukUm/MPqyAaRJef0cEzj1g16zc6tjmbP0p059oJ8xr1nNhn/UbByzps2DCExWbYrNtddem2Lmc5IChM+k4BgWdKGQBiqDHJIkZEL4g/8RlBzOydtmQtFJkSDvxCDJ0upchFR5lC/n5hBLljUTcvZElomS7/KaB2Uqr1NdXK/JNTt1WyFWQkuF27LoSR4Di7IIR9IOxNCEuWDBgjRh5CQH1XAz+FLKDPTaRuHwECPYJl+/exnIM5YZg/J18xohobkmKOc4rtv6lMsc58+UOFhpp77K8FDnnZ2uNuijJnH9Wt1CxgsBBiPWd32IJ8g4UhXPLGXKM2uMKQtL++rLxkPjomeXeN5EC4gusIZv3rx5ydhTPk+/RbgQTGPfuIiEOWeeeWZ6nqwjN9ZR/CmnxhZjXd0axPKYpP3jLu3qa55hzHMPkeGcNEwSIq+yeKavueaaRJwtIaiK5x+BZHDNc2n1mHH7vx025njzmXnJmJuNJeYaz4/5talHbNzaPcj6mKeNLeYic3E5ukr/onxnLDtd11hRJod0CvqGly3IhLFalyjiqJMnUX9EAGWoN3Yh9HQYdXJPeYw6bffTqb7d/B44dYPWk49t96w6um4sa9oH9K9exrwn13K433TCID9ns2XMmjaC6DbqFNbUSExjcAOuTsayJFspBUk4Ql5LkfcDFBp56KGHJssYBYKSIN7eZEFxyqGrBiA3KlvRhFsio8IuJHJgZTXR2EfJ2kf7CDrfBGsdkN8IAmriVVfeRvXsVBeppbWp3TWb7t/Eku56LMPKrYo2wkviGVZXdTUgUxira5WcS/kyuPMoUDgM3LDQNoMoBVU4ikQYiKRJx7VNHBLnuG+Oo9CZpOEm/IT4rtv6pBPH/A8FGz6UOZgYKOYuWx8ED4RsOgW5FzLMC+4esSJvu+2201mluHYNAp4zBEBCFhbVsqeP59AzhuhJ0oUgGj/0uxyC5Zmz5Y1wLYRCeLgJePHixel5lPihSipVw7hlTKQ4GiPGRZBBY4X+y/OF+GqbfuzZqo6PiIEx3e/IpfHZ8cQYn+eJcWlfk/qau4zBsmS/+93vTt6a6njCoKC9+owyfdZuY23Z+Mc4BEfnZzI1LlhU69EEG+OYeVpWcZE/5mh46ff0hDpjafU6k/I/oqV/IGNbb711eh5gBGf6i8gF+kAnMdeLLmKMyOQwn2NsQRJlN/3617+evIrtPNV0KGsg1YnhHrkkuV4S8Il4GKUETt2j3eRZVWrdWNZrH2g65nXfmt7OaIrBbBuzlvu/y6QOMiEsBgshjgjBMAQR06kMMhRv1xQ+asJE/N7//venTFcUI8JKhgRSnCgHlAvHsZqbLEyQiA0PFhIkXt7A6MVyzkLregiUSZZCIuRB6lhKinN54pRpgESiXMfianWQHIIigjj5rV1d1NEE3u6a7QbXMt4UROVRBuxtVFUgkAPx/erKA4gk8IZaj1BHELXbtbUJIfYQs9RSygzecBXeS6EVBkwpg4dz1AGe6kMJURbl0/1zDKWOUttNfcpt7eezhziHqyHxgxKY2kPOOg4eHNZsVlQkEXGHwXQKbzti8dnPfrY4++yz02RsrcegRDv1i2q/G1T541yO/u95GAThzs87guPZKRsXkDhKsDHIuOi5Ne4aw8pJtXw2rjCiib4wXnnWbclTR/7cN+Ohcj3fvfQL44tn3LNP0RuU5HHWO2wouIxNxtU999wzfVe+Fm+E9dXGN4TauGjMM0/xkgwjHJVy7d4gJ92Srib19Uxlrz8yVEfwGaYo5PoNnMxt5i/1KXuLjEuOQbw33XTTNHeX8ev2s74P20H0/eq1m2DjnpqDeLUYRPxPR/AZ2TF3m4dmk2TMta0boRuZsxl3jQnmLH3E8wQ3WU2brNd0v/UrJLNO7zP3GweMK8Yiz24rYcRgkDc/Oj6/HO8aCCLDfi/zZ+DUCvUnvjdGGr9I3dzwxJHtPzV5VpVQN5b12geajnnta/7kX3O/6XZMa4rBTBuz6O30G/2j7ln+u2UPbe2iMx4pljr74FXj2p8Me2/fmMgQszwQUXQpIwYPg1BebF0tXZWREBOiQc9NaSqUXdYJ1zWgtrpG0/Ka1GUQ1zRJIrewqUpW4HkTcmguXDKxrh6f/3e8QcRxWXmlrOR70nTgVob6IYik1/rkevX6blBhbWYMQKQHJRTXo48+Og2A1njqt5Rziposs+MgMD/ttNNSFtv999+/+OQnPzmQannOEG/31vMyaWIvMUqWhFmDEHgKc9enDjzwwGRo6qVc95sSaFKuGxNymcYD12M4cT3jareCYNqKQgh/XQRDt+WVjzd+InkIr/FNRAJld1yEd5bSLTNknqfGpW519TB/wtOc3a5f1J1b/U42cTrAoPp+tfym/5unKDGUXXO9PlI2mjQtZyYcZ7yB+UknndRTdc3FnnVEGnlm+GXMbjqX93TRaTgpcOoMumgC4xeRnyKkSHk3RjGmzZQxi+MDidc/GJ6rMq3mN6QkExMVo4A2UUIpRRTWTEiqjWr3v4GyyTXalVH+rUldBnFNE2MrIpwHf0Sv7iaX61v+bALJ4Wv5e1aEOktC/r3u3XqX8pqXXutTV/Y4fGfCtXZCeB9S6NWLJ2aYbYE5hbBfpbBcRwSEoQhBYiga5HNTvs4kffa8seZ7VmErBL0XXN3v8jNXhyFjD4spg5gIi17IYV25g/zO+MmYxZsQ0j8Cxv9u5oD+rzj8EsxTSI5XSHsEjAnyK3iFtEYgcGqNTfzSPwKzZcyaVoLY/22IEgKB4SHAQ80Kx9sjzIxlXggXr7NQY8p+9iCzcDseQROGk5V+liQKOmXd8QaOfCzF2LGUZGVbg8Yz5DteFN9nUQ7vkxfihmA4rkrw8/Hl9051LB+bP2uLcG9rSNRLOKRrqZfJtVOZvEHazaLNCKTO2gg37R4EJjy56qbsTJB5eYRcjrPwcMtMbC0i75wkVIwOgxT9RaiZ8HGhi14hgUAgEAgEAoFAIBAINEEgCGITlOKYiUTAWlXrT70QESFOixYtSiTJWkvhO9ZnWt9lXYz1G8JzrVeyhgSZEvZqTS1lnQcSObrxxhsT6XS+9a8IDU+P61g3Yv3QHnvs8bgnAMkS5iYOnggjQ1iF/PFAtQt9Qzjb1bHVmjJhpUuWLEkJC7RDKIJwRSG1LPntykSOEWnhvgi2+HbtF6Y4d9k6OOG/1qb0gwmiLJkL7ybCDneklSdqXMJ+2z001su574wFyDKyP0hB8OFijc+wlggMsr5RViAQCAQCgUAgEAiMDwJBEMfnXkRNxgwBSrtwQAo8kidhk8xuvIC8YpR7W64ga7vssksiKNZGHHPMMSkR0l577ZXWk9g7ypoQBAupk4gC4bzggguKB5ctErapNWUegXSc1P+uLVEH4cE89thjk5fp+OOPT17GE044ofBZmLXwwVbSqY4HH3xwbaiiNT7STiN5vHOIrAycwo87lbnTTjulZCJnnHFGIkGSriBwSItwXWS4X0zEzUsUJBOo9WEIqezGSPxMIIjul3s8aGKY+wHyaa1WSCAQCAQCgUAgEAgEAt0iML3pF7utbRwfCIwQAWs+eeeQMCGdQisp9LyASKLMobyBsi4ieMIEkSjhlddff30iidYqynTKkyfz3gEHHFAgjgilshAa3qR99tknEZ3ddtsthZHySGYRmolguY76CNNcfVk2VcSUZ7GVqEenOiJWdaI9Qkq1yWdt5hlEFjuViQhasyh0EjnkKT3uuOOK8847L20xs+WWW/aNCW8tD6RQSuG7rsGb2sojWtfG+C4QCAQCgUAgEAgEAoFA4MkIhAfxyZjEN4FARwR4A3mxZF9E8oR9Ep5BIZUSRSBHSCaCxeOIYOV1hYieY2R/LSeVQEKRUeVnUd6RRx6Z1jcii3m9onOFn7aSpnVsdX7d903LRGKRS+GoEiZoU16XKXy1X0xywpVzzz03eTV5YRHtQW5vUtf++C4QCAQCgUAgEAgEAoHZjkAQxNl+h6N9Q0EAybEODyHh9aumXc9hqBKp1AnC5Bgkryw8dNbS8Yx5RyiRSYlNeMysQ0QQH1wWmsor6ZhW0rSOrc6v+75pmepKtMeriXSDCdK53XbbFbYdOeKII9K+XfPnz08hvE2uFccEAoFAIBAIBAKBQCAQCNQjEASxHpf4NhBoi4DMmcifcEqhnNW1ZEJCEbhBCO+k9XX279lmm22KXXfdNRHHq666qm3xw6jjMMps24gWPwp5Rcx5KnkRbaAuLPewww5LoabId0ggEAgEAoFAIBAIBAKBQPcINDPtd19unBEIzGoErEvMWUpvv/32tNVCbjByKHtpq/V9+bgm78jn0qVL0wav1tfJjip0k+ewnfdQ2f3WkffSy3Uy2e23zCZtbnKM7KgIug1eeRElD+JVtc5RmG9IIBAIBAKBQCAQCAQCgUBvCARB7A23OGuCEECOELVySCfPlSyREsVccsklKdunPeceeuihAmG0CToS4zyvKqHLZfpNOGmW/H0mZTnz58MPP5zKkVHVNWUS5c3zuxdSmsvyTprWMV+7+o6IylpqLaXQUtfxXZN253bkOpXL9p1Xr5goy/6BMsu6jgQ1CxYsKLbddtuU4AfuIYFAIBAIBAKBQCAQCAQCvSEQcVi94RZnTQAC1gfaCxHxs++eUE9JaXjyZPiUnVTmTHv6CW20GblkNNYI2ifRlhY8ibau4O1C8pQnQQtvl/KQrnvvvTdlKEWYbAOBBCI5PkvGItGLcxCiVVZZJV1DudbsyWJq/0Rk0HeSyFgb6VrCXjvVUT1bieQ5yKC9Bq+++up0mO86lSmpjk3gZRrlzdO+ddddN62lRIbh0Q8mq666aiLISLhr+R+u7olMsf4PCQQCgUAgEAgEAoFAIBDoDYEgiL3hFmdNAAK2T7CuDdGxR6EMo/YF3GSTTdKeiMjIIYcckojYXXfdVXjNmTOnsA+gvQllGEUoyTrrrJNIDBKHzCGIK620UvKiSeiCDCKIrrXeeuslsoOYyfxp83d7/dlSw7pDW0jYIxFplLTGBvSS5SBj9gCUOdW5yF+nOq6wwgot76TEOzZa14Y777wzZVvdY489EtFr127eRns3Sq6jfF5V7UbmkN9BYIKoCn9dsmRJ2lfykUceScQQYXfdkEAgEAgEAoFAIBAIBAKB3hAIgtgbbnHWBCCAnCFIXnXCg4c4InSIjzBP5yBuxGblEql4VeXQQw8tvKrC61gVhHLhwoWJcLomLyVxXddEiGQKlbymTtrVse74/J1EL/Zx5BnlTbX+MEu7MrX7oIMOSq98fH7n1RwEJnPnzi023XTTFJ7La6r9EtfAJyQQCAQCgUAgEAgEAoFAoHcEgiD2jl2cGQgkBJCTvMffsCBB1oRQlsX6QK8m0k8deU69qtJPmdWyuv3ftQlCWN5Hstty4vhAIBAIBAKBQCAQCAQCgakIRJKaqXjEf4FAIBAIBAKBQCAQCAQCgUAgEAhMLAJBECf21kfDA4FAIBAIBAKBQCAQCAQCgUAgEJiKQBDEqXjEf4FAIBAIBAKBQCAQCAQCgUAgEAhMLAJBECf21kfDA4FAIBAIBAKBQCAQCAQCgUAgEJiKQMskNZJA2PvNPms25g4JBMYdgbz/n4ybw04aM+5YRP0Gg4DtM2RJ/da3vjWYAmdgKbZhsa+m7Lm2FpkksT3Lo48+mraNaZoQarbg455Pet8f9b2M8aYZ4oFTZ5xkVreHM5nk+auMVIxpZTSK4sc//nHKhD/12yf++7tle6/9vyf+feLT7bffXpx//vkptX5dBsMnjoxPgcB4IGAzehum23vvuc997nhUKmoxoxFAjijJdduPzOiGdVF5hkJ7W9rmZNIML4yjf/jDH4oXvehFhUzCkyTR90d/twPzZpgHTp1xsgWWvZHJC17wgs4nTMAR0W+m3uTf/OY3xZprrll84AMfqM0G33LG44VZa621iu22265YbbXVppYa/wUCY4gAa7/N5FddddVis802G8MaRpVmGgKnnnpq8h6dcMIJM63qA6vv9773veK2225LJHmDDTYYWLkzoaDFixcXP/jBD4p99tkn7Tc6E+o8qDpG3x8Uks3LOeWUUyZ+vGmCVuDUGSXk8Oqrr04H7r777p1PmIAjYkybepOvu+66wvzeSloSxHyCkKJJCyvKbY/3mYVA7qfRZ2fWfZsJtc19aybUddB1zM9Tfh90+eNcXr7vk972cb5Hs6lu5f42m9o16LYETp0RtUwscJqKU+DxZDxaBJGmAyNJzVS84r9AIBAIBAKBQCAQCAQCgUAgEAgEJhaBjh7EmYQMJvyXv/ylyIyYtYAVxaud/PWvf03n5WOct9xyyz1ufcnfT/f7//7v/xb/9V//leplPVDIYBHQb/QFryYyrv2kSd3jmEAgEAgEAoFAIBAIBAKBQKAOgVlFECUpkclShivJSiTXeclLXpIWYdY13ndIl4Wr1plQ+BGv1VdfvVhllVWK5ZdfvtVpI/3eYuNf/vKXxQMPPFDce++9aU3otttuO9I6TMLFfve73yV8YS0hxVOe8pRkbIA/8vjUpz41GQ6sz/X6x3/8x+JlL3tZsfLKK08CPNHGQCAQCAQCgUAgEAgEAoEJQGBWEcT/+Z//SWlbL7roosILwTvggAOKj33sY4ks1t1PZODkk08ujjvuuKTwb7PNNsWCBQuKZz/72UMjiNlD1cmzmesri94dd9xRWGB76623FgcddFARBDGjM7j3++67r/jUpz5VeJeg6TnPeU4hy5MU0UiiTJYSNslqKT0wgvjhD384JXIaXC2ipEAgEAgEAoFAIBAIBAKBQGD6EJhVBNHWBltttVVS5m3Tcf/99xfe7eVYl30PUbvnnnvSMfb4ovzPmzevmDt37tDuSC8p45HVHXfcMe1H+c1vfnNodZv0gnmT9YGdd9652HXXXdN2GTfccEOxcOHCgndxv/32K3bZZZfkPVy6dGmxaNGitnvITDqe0f5AIBAIBAKBQCAQCAQCgZmHwKwiiBl+oYD2rfrjH/+YUrguWbKkePWrX51CBPMx3m0kikRatzhnzpz0uz30hiV/+tOfiptuuimlsd5+++272lOMt1Hdhlm/YbV7ppQrpHSjjTYqeJHb4ey4DTfcMBHF7A2eKW2MegYCgUAgEAgEAoFAIBAIBALtEJiVBFGD11577bQ56MUXX1zccsstyQNnvVhZrDt89NFHize96U2F/UCIdYhlsfaM189xCCfi8LznPe9xcmctGu8S8mf9IsLwi1/8Ir07jldTmc799re/XZx11llp89J11123eMYznpF+t1aS98p1vJQlSY7zHdONCIW0/lI5hGeUB9I1hODaGyfXVd0QT2s38/eZiAqfXHHFFbu59Iw/lpEAJl6dBD6vfe1rE3ad+oh7yxghwZD7aX1j7k/Petaz0n3WR/Qj90EfKvcddVGG0Fb9yH3R72zi7dq5zuWQZdcSHuueKy/3tTLxZRhRL8foJ/qFOugvrt+pT7Y7Xx21RX21zXWV6zq+y3WDo/qXn7vow516X/weCAQCgUAgEAgEAoHA8BCYtQTxmc98ZrHOOusUP/zhD1MYKS/iS1/60kS8wEkp9hsll9coE8Qy1BRrSW/uvPPO/9/enQZbV1R3A9+ptypViZkTNc4oSXBMnIMjjwpGFAQcUBkUCBgUISiaIEJANBUkWIAgKCiCIGgAGUREZlQIahxQoyYxBI0mlapUrHxJ5Usq7/016Yf9bPbQ+9wz3ru66txz7jl79/Dv1b3Xv9fq1SmIDeJHeX3KU55S7bbbbmmPGgvkddddlxRe+VCqleW+F77whdU+++xTPehBD6p++tOfpu+5JlKIlUfhR079zw3W3jfJvkjKvz1vXGYp0aUJMUCI1Ukbn/3sZydyjCAijtwi1ZmVTP1cz231rrvuShZU7UM6tEXdNlMaG2zG9WREUKQuGdG3d999d3XTTTelYEhPe9rTKqTwi1/8YvWDH/wgyeQee+yRSJ+9jvaYym+nnXbaKjsIPNm4+eabUx8+6UlPSkTO4eWI1jOe8YzkFpsXQJBPixH33HPPVtJnP65FiWc961lJbuUp6BEXWnnIU7Ameb74xS+u9t133zQ+umSSFbXvfvL1+c9/PlnMEVflvuQlL0kEkdyTTzK/6667Vi94wQsSac6yFjKckYj3QCAQCAQCgUAgEAgE5o9A//kP86/PVEt8whOeUL3oRS9K1hqunT/5yU+25k85p4gje8hkW6JoX3HFFUnZ5hIqeA3rz8knn1x9/OMfT5ZCCvUll1xSXXXVVdVtt92WiOHjHve4RLwuuOCCRATkLeDJc5/73OTq+vCHP7xCCijMSIa6nHLKKdX111+fiNvrX//6VM5pp52WCENb3bq+Qz4QY0SP8s8qlImPd2STtUa7Kfnf+ta3UkAf1k8BfQS/QXIFYYk0jMCQjCD73/zmNyuW7MsvvzyRPNiSEXJ38cUXV6effnrqK1ZBBBL+5513XnXDDTekCrDEXXPNNdWZZ55ZffrTn64sMpDdxzzmMamfzzrrrJSHBQzXXnjhhdUnPvGJRAiPPPLIav/990+LDieeeGKqA3KIFMpTcCZ5IqY/+tGPknVPHohhn0wO3W9RBOm00CFvFkRu35Kx4H9y6Bpjqp5ChutoxOdAIBAIBAKBQCAQCATmi8CGJoiUVBY0ijQlndWOxYcizr2Uooy0tSWWxdtvvz0RPEdl2NfICoN0+g0ZZAlhhaPUy9c+x8MOO6w64ogjqte97nXJ2sNKKbmfm588fKYEIwhIGrc+hE45CBxXvO3WjtqgXLOyjE3y2WWXXZL7qGMxuBFKlHrkg2skbCSkguXI9yw3rKyslg996EPT7/GnG4ESGWG1JSPkMMsIIr7ffvulgDdcORHGRz/60dWBBx5YHXTQQdVrX/va5CJMRiWBcywoCLREfvQtsnfcccelF5kkq+TbgsVll11WPexhD6t23HHHJAP6VNAdiwAWM4wFZM2iB+ujKLmuQRYvuuiiFIyHLPTJ5ND9ZBz5Y0mUl4UI7xICSiZFis2LF+mH2p+Q4RoY8TEQCAQCgUAgEAgEAoE5IrDt0v0cC55XUU984hOrnXfeOR0RgdRxaUMMWUso5YhQGwlD/ii13DEp8CxBEuWW4otgUawROsqwd8quvYMSkuczqyWXzfoeq3RB7Y/8jj/++GRVQRbzXjRElpvo2MQiw52Qm+h3vvOdZAHlxsdSqV2U9pyygs7q9IAHPKB63vOel3BBqiP1I1AqIxYByIj9dxYFsiyQGXKknzNhVyJ3YLIj/5z0aV5YcEanJB+LEvoWueOiSu4sBCBYdcuc/5HB888/P7kgI6zqhXAik9xTlZmt6SUy2Xe/+mkvUsuizY35G9/4RlqQMZ4QRAsRXSlkuAuZ+D4QCARmiYDFUvukzUH1PduzLDPyDgQCgUBg2RDY8ASROycrIRdQ+7JuXXPPo7hSvllQupI9g/YRIkosOtzi6snDQz4scG3JvisKPKvREEFEFFhkWPK49iGI96ztH8v3tuU/9J1620PITZV1CTnglqhe22+//dbbEYPdd9+9OuOMM6pjjjkmEWguifY/RupHoFRGLEi0JYSMHCGI9aSPyAxFZUh2WAURPNf9+Mc/Tvcgfc0AQyzWFkMsarBM15PyvOppjEy23Z/z4krLzfuDH/xgcq8lV3nRxG99KWS4D534LRAIBKaJgO0Y9AIB3rIHhUVTC3J54Wya5UVegUAgEAgsMwLbaoXLXNMJ60Z5ZU3j5sdyYU8hyyCFmVtdV/KwoNhbSeRKyBWw/vLgoJRPI7FOXnrppdVHPvKRRCq5AwrqgTxMmpBXyjiCzLKEJHrwsajWyQAcEGAWTJYe+9Le+c53JhdaBCVSNwLzlJHuWlTJEqgfkToJCWRFrCfWPpbJ7OJc/63t87RkEoF1JIgFEHsRWfHJobGnLn0pZLgPnfgtEAgEpomABVp7xS0k2w7CxV+8AQHGpvWsn2Z9I69AIBAIBGaJwIYkiCZzpI4FTrKfT1RIpE70RBP/85///K1EqT75588U2xyB8stf/nIK9pI7wt4skSlFcRyTWBS9lJHrpp6smuecc06y8IiOSnF2Ta7LmDLq1zrqQzu5lgpaYlXU/sN6QiQQYXsmWREFyLlnzXppLxp32khVZz/MQkbG4o3Ec9dkMdS39ivqz3/+53/eRmZZKX1Ppofch6ctk/ZIcvMmhx/96EdTfbmelqSQ4RKU4ppAIBBYLwI8G3jwmNdtP+Fmb4uHxdX1PovXW7e4PxAIBAKBeSOwIQkiAsf9j0IssZ6wpiFLkvPuWBVzohBToL1nq5m9XIJocMdj3RMRlNLNjQ9hFBUVuUL03NckdDkv32cyiPghqSw86pfPg/vhD3+Y3O7cQ9lXpuiYLFSu8dKmnKf3kmRfG9dSpFSwHG3KVqZ8vz2KVkjVkVVHpFaRTFl5mlaofM9meicPXhn7ettLZcS9Xk0ZybLTzDt/X5edXC45IA85cRu2WJFJGKWGfH/7299OfZ6v4wpNfu1ZtDdVyuU0y5d/iUySz9y2PG5yefV3pJS7M7xYs7nWIrIlaSPLsP7N8tXEQj9zNTcfwLgv6QfziXlFn0ruMafl//vuX8RvWba99yW/a4dXW8r5NH/r+r553bz+z/XxPklqjtG+PNZbVl/e8/htTP3H4DJUdx40jvfxrg7GHy8e+7frXjdD+SzL73l+X4b6wDM/RxdZH/UwX3otY1oWnLqwUT9y5X1sck/fXN7Mb5pju5n3rP8fU/cSTF2ziPEzuQ/jrBGeIH+rfRRhpEekRoEx7LuioCI/gnmwonkX8MMkwUomEI13BE7UT0q3ewTyEEjD+XNHH310cvvk9ubBIUKkoyKcH2jlkXJGAfebxJ1VBEtkjwLPakPZRTrdk48woDTbQ6Y+iJr9DspwD0VaAB2uea7znT0S9kYqk8ur+/qSh512aF+b1QYRRXYRC+6o6sy9BpHw/2ZNZANBJhvcLZEmq8uCG5ENfeQ1JCMWJvSb+yxY6DcY6zeW2pw3uaOImAiQM8RA+T7X+8F3gr2QJfLxla98JV37yle+Msm4vbIioXKV4k6tHIEWnNOoDXvvvXdSgNRF3sYL2VC+RRMLCMbBkEySGXVvu1+9mok82YtoNV45Fi1K00aUYZO9vtTPxnHe42Qe0S+8E8iHviBDFgBYNurJfKcPXOd6yqwxbq4jR/rGw9wcuCzBNtQrL0B4V1eLZs2EIMPHfGcsuhYW5kd4ZYVdG7kGsqAbj1JeGMzXNvOe5/+l7W2rk74zVyD/xgtMjGdjnEt5M62nrGZei/i/tP5jcSltC3kRtM3iqAU2z+nt1ryPeD+sSoIheTGn+2ycGF+e6V7zTmSWDuTlM4JgrHqm0WnGPAemUXdzg741b1hIbXtWmWfJgvlmXmnZcGq2u3RsNu/zv7aVzOWundXYlves09i6l2Balwv5e+bPc/xsKILoYZoPIDcp2muImNnPB1TvBr49URLljEWD65uAGSZTyhly6VpK7dve9rakkFDKvUwqr3jFK9IZhlnRoZgoB3FDBHQ8xU05yjUhKdeDHTlFOijslPx99tknTUSUenXnAit4jpVMygBS4ugC+Zv0WWJYRD28kFSTbF9SX0Fo1A0BaSZ1MEnfeOONCQPk2OSNGDetjc17N/L/lAT9ra9gr09hoy/gni1gQzJiQMtDQnTIKMKo3yj2D37wg1PelFyypxwPL4sPHuj6OZOHjDeZMOGScUQD6SNXknwdoaFfb11zXXbGIbmjZCORotRK7if3+hh5YBlXLwsFHoysjH0yKW8P0rb72x666iU4EgJUt96nygz82WgyrM/0PVmCHzIuweaOO+5IR5FY5PI/xQpu73jHO9K8YE6QKFrkxeJRtiLnhR7HnyCUZM1cRkZzv6abF/AnPzwtSHl98pOfTETO3mcksZ7gY8xYTLASaxyYV2GiXYJokQnJnHnCCSckHI1Jc7h5mWuyuRWZXEQa096u+llMspCoH2HkeQUH85EzdDNJnEZZXXWYx/dj61+CC7khB12W59yuvDc7Lzjkef4zn/lMklPz6qo8B7UZNrydyIl93xaN6A3Gg+OR5knIjGML5Y5fUgfPFXOWOY03Fz0qz325P2b97rnnqCfzDz3Hvvzc98qGl3gVb3zjG9MzdNb1kf8y4pTbPXZs5vvy+5i53D0lYzvnvWzvpXUvxbQpF56DFoLnOX42FEE02dhD59WWrMR75UR5QMb6opk645Cy7uGMzVPWs5KG/FFWvJqpSwk2+SCfHlzZIkB5PvbYY9PqAOU6r4QrV5keUCYxwWvGJg/AF7/4xUnRqk+EOZ8tW7ak/ZmE0Wq9aygebUp+vmczvLMScrX16ktwGpIRQYC8mumoo46qvJqpLqP5N6RRstBA3gQbohCQnWa/kpdXv/rV1Z577plWwykF5LauHFAeDj/88PTKZdTfLSaUyGT9nr7PFkzIPJluEt6++/y2kWSYAmox4LOf/Wwi7sYmxclDg7cA5c5e0oMPPjiNR+7tIjBTashFXuSx8CAvVlnEiHy8//3vry6++OLkiWD+cb35Q2AgssLdvCkrQ9hP63flI33a5zNvC/OoNjQTZfLaa69NSqXxYRFFez/0oQ+lqMzue/vb357aoj0WSuSZF14sglg04a2xqDSmvW11tDggYJiAKdpKwYfVrWsLM5Rb7TbGva+3rLby5/ndmPqX4uI68mYxoi/RASzcZesaPEX2hjnPIeOOrCIMy2KF72qPhSLHVSFBb3nLW9JCgngLZ555Zpof6B4I0LwShRmG5vs3velN6fmjbupz+umnp0VL50YjafNKPLzMtZ6fyq0/E1lezZeejZ7/80rLiFNu+5ixme+pv4+Zy0vHtjG6bGlM3UsxXQa5mN9ssWw9OqI+BHKsUtuXvYmpOSmauPNDKt9L8fFab6Jge7WlPNgQHVanSJMhMG0Z6auFvsrWg77r9DkCOWlaj0xSZk2aLLHyYTG3AGHVeJK0UWTYQhOrEIs+L4HsxmSBhnLCOm1RIisuFBVKLosAy3EmiBaX8gITPC0KGL8ePvKRyCTLof3HiCb3uWx5SxfM8Y/+447thSBTumHQlihxVkpZtbUZQTRfah8XMb9pI4Vdu1kKBfcic9pYx6Ut/3l8N6a9bfXRRtZkymq2sJIJpNdz4vOf/3zy8vBcWm9ZbeXP87sx9S/FxTiwncR460sWYy1cGX8Ilnu2W3MrJW8s79dff316cTNFJJc18RCxEGTLgQVyVmZJ2yyo8CKByRBBNK5c19RP6u2GlZd+61tIZvG3zcecL19znXpYAEO8WRadS80rYF5J/5pjTzrppG10K/MKbwRz7R577JHmzr46bXScctvHjM18T/19zFxeOranqYvX67qez2PqXorpMoyfIIjrkYq4NxCYEwIeSFymMpGYU7ETF6OuHrhclynsHhRWbTPBmTjjFb7RyjWLkImfi1Xd/ZHiRnFBAjI51FTkSERFFlj3tyWywfqITNmDyFKYkwUmii2ycfnllyfLQvaAyNcs27s9k9ktXtsliq4FBwqpRQ8PWQlWCFMmUenLDfCHKx4SrT/zIp5mUY4sGpAj+4bJzGZKY3DZsuYdU5rMTxZRYMpFm1Xe2IG3RS6WkGVOcBHDQJ2d+5wt80juX/7lX6a5Iy9G9bXDos09a+7v5uk290/jkDLM7VnefYsxSCs3enMbr6k831noMa5Z7JQ3T4JoQSn3bcbBM1W/88Iw3lwzlDY6TkPtL/19zFw+ZmyXlj+v62ZR92UYP0EQ5yVBUU4gMCECFGMPbe+URZMRhYXyMrQiPGGR676NS6CH7tVXX51Wjvfaa69k5amTn3UXsmIZUIis8rNUIMv1pF/rRCD/RnF1n32I3AxzotRYDaeoscjJ16o/l8y8zzRfSyGi9HDvRLyWnUxROutu/5RdZInLIKWU4l+3XFiMoNx5oFJgjQlKaHbVzzisyjsLDgWUnDTJPKuprQ3aa3/XZiKIs8TFgoPFGF4OZMi4suACZ27xi3RXLpFb+8nFXEDEJLJh3GRvkxKPE/dZbBKl3f57Lsx1kggX3gjmdGOUd0JfEtfBPnZeC/XyjVfPMrLdZ6nsy3vS39qswMaaBTZzRilZ3eg4TYpv877SuXyWY7tZp2n/P6u6L8P4CYI4bWmJ/AKBKSPAeoQkcHNCsDxgKcv2mS0rQWTlERTHCqJVbYpsXkGeMjwrk509clyu8gr6UMW5PbEU2bfDHbVO7BBHShyrATc4is+73vWuRCKbRJPFiZLGpYsSWc9nqA6L/N2DVzvtxbD3jiXnyCOPTPsuc70QZUSKax2l0zjxTnllSemzcOQ8lu2d8qkNFPym1YfCj8xYgEFmNlOaJS7mKAsrFlKMUzgbKwgSl0Ouy8ucjBMvzwZWOwRX8uywb13QOQR4KJkbLM4IbsaimklinRyy2NsHP2Rpo+B61ZPxmq0t9l9b+FpkghdCDK8x2x82G07r7aOhuXyWY3u9dR+6f1Z1X4bxEwRxqPfj90BgwQjYT5L3lCy4KqOKR0oWtedtVEXndDHyQmHjXkUh7UsUsnxUj0A0LLDZ+oo4sJZRtihrvmcd3G5t75Soy819pwgFa7MHGTK1Kkl9WUbst7MHkxXHggNssmWNBQLhZuWxXw8ugrh8+MMfTvjYm9gkzMvefu3TDos/2ZW2Xmf9n6+pf7/RP+c2zwqXPF9ZiGBVMuciV02Svmw4Z+XbQhKiY0EIqZXsdz7nnHMSeSwNtCNID7LEJd1xSYKd2cspsqv5xh7HukVwDB48ASx6mavku2jizUrMZdaC0tCc3GznZsKp2fax/w/N5bMe22PrO+b6edZ93uNn+cIBjemZuDYQCAQCgRVBwAo/kjjk+mivISuGCIDcQ//wD/8wKWa5mQghy4YAD1xKndFqNd+xENx62xJCZbWc4otgrEJC/hy3Yk+YNno4Ou7D3lYKhyTozaGHHprIof8p8xQ3bRT9NVtS/LZqST83yS0yYGFA+1alH6eN+6xxQYIsRiAxy04OYWu+IBM5IFh9Uc5ilLnBIgu309JkDPEAQQzPOOOMZE3k2rwecsjijbByiUdWWRAXmSzCsB6aV+w9nCRtBpwmwaV5T8lc7p5Zj+1mvab5/zzqPu/xEwRxmhISeQUCgUAg0IEAgsY1sM0qlG+h7HGp5DrqoWoPj8h/XcmeNFEB7T2izDkjqS2xuiAXlLRVIBZ1AuTBK2gGMijAz7nnnpvc1Ch42uO9nijELKZINuvAqqW8Nysr/vX6W60mR/ma+m8b/XNuc+CybU+bT7hSe7HI1a1yyC6PAnNK1+LRtrnd9x8LqqNyRKC2B54ng3E1SeIu78xWexgd+fSqV71q4dsjeCVw0ydXJe63Xe3e6Dh1tbv0+5K5fJXH9jzqbvxY3J33+AkX01Ipj+sCgUAgEFgHAlbgKWxNQpOz9CAVZh059Hm//fZL7pP596537l6UQoqgw5/bEgsDa5Tym1aptusX+R03XK6l2mOvTw5IQ4ljHbH/lpsasuQ8SQoad7V8nfb5jIwPHXOwyHZ2lU3hoOxrAzJYTyynvuMON6mbXz2/VfocuHT3lrmFO6zxXd+XbnGFHFEwx4wFckYZ/fa3v50WoOTPekHmeC/ItzSRV/s55eUsxpe+9KVpDlIni1bqvIjEkqmN9p6OaU+9rpsBp3p7x34uncvtRV3VOW/W81IeP/bZz3v8hAVxrMTH9YFAIBAITIAAwiNQD8WIFaSeEEKRaW9dC8ZC6bDCjhD5npWsL8y+aKYeIqxsXceIIKUeZJTIZU7aiyCzMnBt066cWFQpEcgucugQcAeDswL4PydthbFrVyEwEllQ/ywTCC6ib7+lvq+n3Db9uCrBhur1X8/nwKUbPV4G9uKaC5CunIwV84mxYG9iSXI9a6M9h6zx7373u1OQLHnbk8gaaZyWJHlZ7BEllKeDPcF54cNCjz2Ai0r2bJpXh1z+u+q3WXDqan/b9/W5bMxcvkpju95GGMyy7vXxo9x5j5+lI4iEilLgwQiceSWTn8lilmWarLVrzEpevf0ExD6DptIwj7rX6xGfA4FAYDwCFDSr78a//Yj1RFmxZ+6uu+5KkUjtVUSAWMquu+665OYlsiXFzUq8382ViIWogMjfLrvs0hpZ0DXmDVYngVwWncxjlNj8qtdHmzKZrVvIfK/N5mj7MpEjeIq4+LKXvaziaivJ29EEXG3tD9pubR/ZotNQe7nv2SPGmpETq6g2sijXSTIMyI49cm2LAX1l5byX+X2o/pPissxtnkbdyIN9dOYRVpucyIp9uHBzzVAyV9TJoT2HSKKIihat6Bqf+tSnikgifQcBNH/5bFGDjCOL3E2997nbD9V1Pb+rD1zMqRaexqbNglMdl6GxaY6uz2WuL53LlbMKY7vZxozPpHXvw7Q5fjzf5z1+lsrF1KovZYcChKgJUz6PBzwhNmFRznSCs7ammbTFpG0/jMmXgkOpKU2EiGLgfpENrYqLMsYtYtZ1L61jXBcIBAL9CFCQnLPFVcSq+jOf+cx0gwWfK6+8MkUb9ADijiUhUAgR5SwHafnABz6QHhKIkX2HVi/ttZMX1622hCz9+Mc/TiHlh84ua7t/Wt+Zw+yjMI+Jpkp5zW1lXWUx1R5nRB588MGp3bDxoESqzc9+1057oyjDWSFGCpFEbf3a176WlFGRX+W7qFTSXn3MYvqe97ynOuCAA5K1xrzuGaF/RacVSEOUVtea/8nIS17ykm0WA0rKWhQOJeWW1n8sLiVlb4RrWJsdg+R4ii996UvVC17wgtQsupTxw/JQQhCNI14MLI6ZHGZ8MkkU3fRzn/tcsir2Wd8Ef/nYxz6WFj/U77LLLktZkV/9LQCVOi8iIbrmDmMtLy6NqcdmwQkmpWOzbS4rncuVswpju62Ns5qvl2H8LBVBNGCdvfORj3wkrf6akLabwwqwVSQr9Vwq7OWZNkGUP6VQuGlE9PDDDx9FEE3wFErKoQfAG97whq1h72dddwM3UiCwKAQsjkiIwaonbmDPf/7zUxQ/wVas+GsX8malPe/FseiTEysZ8rfDDjskQoUo2Dtz7bXXphV45x86Y5KyVd97lO/PK54Ilqini3RLtPhHsTTPs2ZSLu+44450hAUscqAI5M+chxyxfPrewxJOiKOz2USXpHQ6C1QeIpuydLC6IpWHHHJI2luUcVjEe0l7udvpWxEjueBRNiRWDWfX6T/tk8iFxQB7ppoRIEvKSpks6Z/S+o/FZUmbO/VqkRsL6mTEIgKPAnOnyKUWvevH5PQVbpHeIpbxaDw1E51s7733TnMQ3aOPIAoCwx2VTpXn8ZyfYDf2nfUF4MrXzuLduLJ4ZP7g1TE2bRac4FI6NtvmstK5XDmrMLbb2jhJ3UswXYbx8zNrA6XVmdwqlInGSjVmP68kYtYJJ5yQLIh/8Rd/UT3taU+bedEmL4oFxctDepIJY6iSyhB975hjjqne9KY3Ve9973uHbrnf7/z/3/rWt6bVwLPPPjspl/Oo+/0qsqRfUJ4oldzoRFyLtNoIIAdWL61mTxo9b70IOE+P5eqss85ab1bpfm2yCGbB57DDDptoruFySBH0QKUI9iVkSXkeSMqrRzjsu6/+GzLr8G0Pe4rjvBIF1JhmbdRW5JYVNpOoXA/WANdZ1eddwd2HzEwjXX/99YmIiybbpjBPo4y+PBBlbqYUfe54rEDzUqotaNIBpiX7fe0c+9sicRlb1zHXm29g7vk+SWLhMA5Y6Y0T8mLMN8fMJHkv0z3rxUlbeHXxYqDfTmJFXCY82upiIc78Jb3uda9ru2Ru35XO5So0y7E96zltlnWfRWfdcsstyYuHfNjD3ExLZUFUOQoPZWCWewGbIGS3JubwWSVlmITWMxHBpnn/POo+K0wi30CgCwEEyCIVcmaRalEEsat+k37PSmhF30qk9rESjW1b6TyCOHG3ZD3kkjgJOZy0ndO4T+RE3hxDHh2skVxnF+k+O432tuXBKmzBchaLlm3lrcp3gUt7T5lXQl7asWl+SyFuU4qb18X/60egdC5X0iqP7VWue1svz4UgYtVWsq18ExQbfO0VYbzkQuWF6DST++zBcS1LmdVh11IefS8/K2MUJu4C3B18Z+VEiHMrvq53DZcA97g3kzW/q496+J21gutSM/Jdvte7VVwKnXsJQ07qyjrgpQwTtXyy21i+bsw7BU+dlate8m6mvrrnere1WT7ulWcOhABHdW4qrCVtm1ZZzfatyv9jZXwIeyvBFHtyTK71odVOci54h9/IB/kih7kP/aYPybzryU997NRXkof61TiVh7JZZORjdborv6E2leZnDHP5tn9F/bkBaaexbPFo1RMLN1dTbuesc894xjOmfiC3vuURwTXTXjavSIFAIBAIBAKBQCAQCJQgcB/DKbl6gmsQB/trbr755hQ1yiovpZPLEiJHORIdS8S5OklkQeQ2xPXTHgyKKR/7fffdNym/or5ZgXcP5ccKOUUaERU1S4Qse25s1qZkf/WrX03WCFY4eVNm7dtRvsAJAgF4cTFVhuQa5JQVg4sPM7m8kEr7QCiuCKPvlJdDNnNdcB+XLBaCsa5JyqUYc7eVJwVdOdzEKM85aUdX3RG/rjY/5znPSUq+e5UBY/jKzx4nG9rt75FK2jatsnK7Vu19rIwjWH3YI+hchLjLGiPGDGXfmNmyZUtynzWefMcFGym0B4vbIje8PfbYI8ko65E9r1z0dtppp2qfffbZumI61K8WC4QhN5bUwVhBOm688cZUd+fx1PMbahO3uNL8LNQo59a1YAlIITcI45rcLkMUzmnI56Mf/ejUR4g9st9clFpvGeYJc535b55bBNZb77g/EAgEAoFAIBAIBBaPwMwJIqJzzTXXVOedd16y9FE2mfXtE6Ek299gI/Pxxx+/lZSARQhi51shKlyMKMMf+tCHkiXh0EMPTUrzFVdckUgkJSgrjhRRyi1LCcWadUWkPKGZBXuwl4TyLWog0ifIA2vFRz/60fRe399BUXWd0LIieqmHQDbHHntsct2yR1K5FPNTTjklWQFOO+20RL5OP/30ymeWF+R1TEKgBaNB8JSLAItG9v73v3+bENYsSF1172szRZtiCj9E1qZzpJRf/8knn5yw/+M//uNkrSlp27TKGoPRMl07VsaHsBeh1pghkxYjLEwg75R+iwSIn/2oNjEjThYiBA9Qj4svvri6Zy1svgUMBAGBdJ3xh4TkxY+hfnUfQnrJJZekRQJlG7PKce8FF1yQZF9wDWmoTXzcS/MzBi0GIcgWgBBegRO4Em6kpD+mTQwzPuSmJGphvj7eA4FAIBAIBAKBQCAQyAjc368z/zKld6vXFDzBDbhJ2n9z4oknVscdd1x6DmrvsQAAPqtJREFUUfxuv/326rbbbtumRIohqwWi8pa3vKXaf//900o7a5eE/Al3jiQhKN4lSrIV+bw523esYwgmC4jrWFlY9pBP1pfdd989verud1z8WF9YKZ/97Gcnyxq3UeVqDytPLhOho8A7l4q1kBvgdmvRV5EvlsUxiSUGARClUD0p+qyHrJVCQtddVrvqPtRmbYM5q5M6IxL6Rl/4TV8g0VJJ2/rwHVNWKnAF/4yR8RI8kDH77li3kUNycOqpp1YXXXRROu5ABEMySVYsWrz5zW+u9ttvv0T0EQ4LHyxUBx54YFoQceg4K28eOyX9Kh9WQkQxlyPIyRFHHJE2vFvAyee2lbQJkS3NjzySczLpMzk33oyDSIFAIBAIBAKBQCAQCAQCs0Vg5hZE1WfFy4qeKHQSMka5Zf2j/Gb3zPTj2h9WRiQrkzaki9LKnY8CzZ0U6WQBZGljbWR1oBwjiAhgTjk4w4UXXpisEEgXBZpFRMr1q7u4UsxZ51g8lZGTe97+9rcnQpg3OCONLKAslwiVF6JqzxVXvjHJ9drCuir8eW4/ckpR9qqntrr7va/NlHWkmssfvPLBuuqsLdql/VJJ26ZVVipwRf/kftA/fTJeij15R5AEHOB+rf/z3lCWbePJGPBdlhGLE/qO3GXZBKd9e+5Xdk4l/ZrbJF99LA9J3Xxm+Wd5Lm2TfNR7KL/cnlzXeA8EAoFAIBAIBAKBQCAQmB8CcyGIXc3hfkkBpmSycPQlCikLAmuGl8TdzXEGH/zgB9MeR652WWn1W04UbFbCM844Ix0zYW8ii6TruxILibwotIhfTpTXJkmj8HI1ZaVEdBHEe9bc/NRT28Yk5Trvi3K+Hpe6vjYjGAgossu6VHerVVdlIx9SSdumVVYqcIP9acp4KfZkSbJoUV+46IPHGNF3CGI9uZ8csqB7J8Ml/VrPo/5ZfvLI8l3aJpbmttTMLwhiG0rxXSAQCAQCgUAgEAgEAvNBYKEEURORPoSLwjo2Ub7tK7z66quTOyjXSESTSx7rS07yR4RYPlgR7e/ibnf00UcnSyOluplYKVnRWEdY2BzqWk/c6ijb7vW7vYrOL+L2+prXvCYp0AJ8jE3K1QbvrKWTpr42I7PZEqsdzX1Q3GUzCS9p27TKmrSty35fXcYFHCrFfpbtKunX0vKXpU2l9Y3rAoFAIBAIBAKBQCAQCAS6EZj5HsTuou89EJM7qIAKXD4nSfbN2ZsncIagHvJrHubMTZRSLlAGK6LALyx89nRxq2xLCOuDH/zgFOCDqyklOCfkjXVRYA4E69a1aIsO4LSnUQRQ5BR59BqbYIHIqrM6yr8tDeXd12ZtER1SlFiRW+ttQw59bw9iadumUVZbGzfCd6x2dRm3qFGC/SzbXtqvpXWYRZtYEb3IeV6sKK1PXBcIBAKBQCAQCAQCgUAgMDkCcyWIORJjrq7w+8gIkpfP6coKIaWwrhjm77175UTZFpUTqRLchZtdM6y7s8ZuuummlB/r4iGHHFK97GUvS5Y65CbnTXHOZcqPmyoromifjhVA2ESRdOyGAC9cSZFF3yGM7kcGBKdBHhEvv3tpu98RBu9diTVOHe1FVAaixmVQPeQrL58R2+wyqM71usu7r81+F8RHfpdeemmKFum8NK6tCKPAPHApbZs9k134lpbluo2QhmScXJVgn/s0y0wdG995NcdC1z35+yznpf1KftvKyXXK+Y1tU7Pezfy01SILF2uyzoVVnXNQqDoW8TkQCAQCgUAgEAgEAoFAYLoI3N+3crr5b5Mb0oFMCKCByDkoGqESKl80TaQI0UJ+KIPII2WagouEuVYeiJp9bzmqoWA39iKKzCnaZ3MPE7KG9AjM8fCHPzwd4yBKovu4VyoTOVK+vXmup/SKFLnnnnsm99Gjjjoq/U9ppdAKriN4jc/2UdqriCQJUGL/nrproyimoqHKz3dcVpWhTGW7r57sd0SWEVh1ft/73pfqoJxs7VM/5xeK8kpxbqt7X5thyjVWIB/El6utMtUb6d1xxx3TyzVDbVMPJBY5b8O3tKw6Bqv8eUjGtY1c9WEPR2PDnj1j4fvf/36Sa1ZtiwKOrfBiFSdH9q2SI+OC6yiZcI8xhYzVx47PAs4M9atFEK7O8kfSLCCQDUlgI2VaYCDT9rIOtcn5ms4TLc3PHEF23HPDDTekcn0ncFOkQCAQCAQCgUAgEAgEAoHZIfD/TlhLbdlTQCmoFLJJ9gfW86RIsoYhRlwoKZhZyRQwxkugCsowxZhl0XWiL3LbpIwiS5RjURvVh1Kag8ewNqivxI00f5/rQGl2jiAFl1WE8ix/xBRRRHJY3OTDgoe4eSGTlGxEyb1IF4K41157pbMNfa/eiBUySPmlSLMAbtmyJSnn7nEdgmffo/tZPZVD4dXGZlK29qmrexBDbVcXyj0S/MQnPjHlRYFuqzsy3dVm7VI2t171gi/MtYWLrGM8tKmkbfoD2RARtQ3f0rKaGEzyP0sTApTlY5I8Jr2nVMblP4Q9YoagGS/cN/WFficX+jWTct/7Hf4WUZwziKBqf75Hn/geUVSu/tInAhP1yWx277T4QGZzOfKz4OFeeVj4eNSjHpXy7JMnllX1FnynJD/lkT/lI77+t3DRNl4m7bOS+yx8GMMWbDZrMn/qBzJoPt5MyXPK2LbA0XyubHQcyD4dYDPL/rz7OGPuORypG4HAqRub/AuDh/lLsugcqUqGjJjT7pMEuhX9hnzQy5rpZ9YUx/v8NWu/ImSCrjiPremyWbus6COS8+d//ueJhDgDEblBTCiXlMD1JuRGoBoEz9lvzUR51kwkiwVPmQgaJbckuTcHjnFftlzW75W3ASlPyrnECkoxprBP0k71Vm4mxjDzKlGSS9vsOqRDPZGHpkVTO4ba5poSfEvKktekiTXL4eqC8LAozzNNIuOzxmOo/UP9OqnMDsnTUL3qvxtTXKwRxEWkD3/4w8mKedZZZy2i+KUo0wKURQZRn5v7u5eigjOsxPXXX5+8QA466KA0j8+wqKXL2r56OsBmlv15d4r5BuZnn332vIteqfICp+Huslhs/pIYTiJVKVZIzGn3ScItt9ySjrwjHwwIzTRXF1OFI1BI1noSMsLtDXlinWOZQPxe8YpXtGabFV1lt4HQelPtS9YUCmqfkqoe9UPs3Y6Rt7HyWta9H9UbucyplNC6vrTNrkMM+1Jp24bwLSmrrx6r8lupjC8aj9J+HYP7tNtkMaRkQWRMHePaQCAQCAQCgUAgEAgEAoFuBOZCEHPgDhYLn9eb7LHisnrjjTcm0sbtjVWSC2akQGARCExbxhfRhigzEAgEAoFAIBAIBAKBQCAQWL9/5wCGLH38XL2zLtgjliNwDtza+TO3M/sIuZWKwmk/IZ/9ZnCazgzih0BgigjMQsanWL3IKhAIBAKBQCAQCAQCgUAgEChGYOYWRAEOBA9xViECx/onoIlAK1zcJkn2LgowI2ACF07BKwTwiBQILAKBWcj4ItoRZQYCgUAgEAgEAoFAIBAIBAKTMbQRuInG6TXtJHKiV6RAYNEIzErGF92uKD8QCAQCgUAgEAgEAoFAYPMh0EkQc5h77pxxQPXmE4xVbDFZFeXVfsCQ2VXsweWrswiqZGozyxOvD/vHHbuz2XAwl4g27MzRST1elk+qy2qU277Z+rwMndlcBfPNPt+UIBs4DaNkzjJvSzGG78Ur5rR7cch/4WHrX1fqJIiOciBUDrZ3dlmkQGDZERDW2ZEnJsbYj7rsvbUa9XOuqQjJgmJt1uTcKGclic4rcvRmSs4RM684i3aznYNI9gWA28yyP29Zj/mmDHE4OU4pZLMbL/q782ulwOlenGJOuxeH/PcHP/hBOqKuS1/uJIgyEHzjH/7hH9Z1VEOuSLwHArNGgPJKkfXgYPmJFAisFwGHpFtwcM7lZk1Ign22Vhs3G0G04KT9f/d3f9d6/u1GlgmyT8nczLI/7/4VwG+zzzclmAdOwyjx+DB/Sc4Ij1RV8TzfVgos/v7Gb/xGIonb/nLvf50EkTLwm7/5m9XLX/7y6pGPfGTbvfFdILBUCNx9993VF77wheoRj3hE9aIXvWip6haVWU0EHMh81113VW9729tWswFTqPV3vvOd6s4776ye/OQnV09/+tOnkOPqZOGg6b/927+tDjrooG3OpF2dFkxe03POOScd2r6ZZX9y9Ca7Mx8AH5j34xc49ePjV54P5i/JQeiRqirmtG2l4JZbbqm+9a1vbftl7b9u59PaRfExEAgEAoFAIBAIBAKBQCAQCAQCgUBg4yMQBHHj93G0MBAIBAKBQCAQCAQCgUAgEAgEAoEiBDpdTIvuntFF//u//5sieXmvJxspBUrIGyrbrhORxzWR1o+ACFj2oMD7l37plzozFOXPdd5/+Zd/ufO6jfRDm+xpH/nzyjLabHMpps374v9AIBAIBAKBQCAQCAQCgUBgHggsJUG0uVa0oR/+8IcpUA4gEI/tttsu7Yv8uZ/7uYSNzdyuE6nJEQeu2X777auHPexh88Buw5Zh/6mgFAIUff/73097UF/2spfdr70I4U9/+tN03Te/+c3qgQ98YPWKV7yikxzdL4MV/oK8kTsvQXEsSohyaDO4CMA/+7M/W/3ar/3aVnktxXSFIYmqBwKBQCAQCAQCgUAgEAhsAASWliAiJuedd1514403JuvUC17wguqd73xn9au/+qtVnSAKP/7Rj360Eo1nt912q17zmtcEQVynYIpe+5WvfCVt6P3rv/7r6vDDD6/aCCJrmDC5H/jAB6pPf/rT1Rve8IZqr7322jQEUWTD888/v7ryyiurhz70odWznvWsFBEKYWRRFeTpJS95SfreGWolmK6z6xZ2u8UCqe9MnYVVLgoOBAKBQCAQCAQCgUAgEChGYCkJIksgsscixfJyww03VD//8z9fPfzhD69+5Vd+ZWvjfv3Xf736rd/6rep3fud3qj322KM69NBD40iOrehM/oHla88990whgb/61a92ZsRK9vu///vp2ttuu63zuo34A9nbfffdt0YKe8ITnlC9613vqn7v934vWRRFDzv11FOrz3/+89WRRx5ZHXLIIUWYriJWjj5gSeaGXB+fq9iWqHMgEAgEAoFAIBAIBAKbHYGlDVJjD9fTnva0pFg/9rGPrb7+9a9Xl19++TbncAnjyypDWd9nn32CHE5RmlmCuEyWHA6NKJZcN8XqLU1W3Em5lea9hyqGKLG4vupVr6p+8pOfVJ/73OeSG+4YTJemgQMV4Q7+pS99qbr44ou3nrk0cEv8HAgEAoFAIBAIBAKBQCCwxAgspQUx40X53mmnnZLr4kknnVRdddVVyUKz6667piA23B/tQbTv7SEPeUi+Lbn3IY/2iXF9+8Vf/MXk+ofE+M4hq//93/+drJIOiaS4/8d//Eey/PjMCoJ0Sg5cd1AyRZjiLz/urN5ZON3fDEjCvTAfyGlvmvLdi0j5vy2IDkupOuSDqFlMWfK40+Y65zooU/21w3eZeLC8/sIv/MJWHLo+qF8XPl331L93fz6oFjnKda5fs9k/67cHPehBqe/hA+++JOiN6/7t3/4t9S1ZJV91ixyXXtd46Xdy5BryVU/25vbJRkk+JXKvDhZuPvaxj6XyWE/zWMtu4LleY+WbTA+1I+cd74FAIBAIBAKBQCAQCAQC00NgqQmiZtpzyBrjsOLLLrus+sQnPlGxKFI4/+Zv/qb67d/+7bTHy7VIGwWb0nrPPfckJRq5Q2Ior/aIIVbc/lg9uKe+/vWvT+Tt29/+dnJlZfFRnoNFKcB///d/X1133XVJwedOSbm2L/Jf//Vfqxe+8IXJcokI5ITk3XHHHam+rlU+oqvO9qk98pGPTC6x+fr8jnS5T1kI4bOf/ezkkkjRlufVV1+d6vLSl760esYznpEOMHaAN9IJCwRD/Z7znOfkLO/3XoJPJsb3u3ntC2UgHnC3/w4+2iaYEFwj3YeAPkHkvCP0fYGT9At5gut3v/vdtADhvqc85SnJ1ZrckAljAO6SIEIWIRxe/gd/8Adbo8cqk1twl2yU5FMq9//zP/+TxsKtt96a2ujQ1f/8z/9MMviIRzziPjDWPo2Rb+PK9X3t2Cbz+CcQCAQCgUAgEAgEAoFAYGoILK2Lab2F9hi+9rWvTSTrC1/4QnXuuedW9nhRUO2VyxY55OXCCy9MJBIhtPdr//33T8r0iSeemFxUEU7EUIROhIxCy0qDWD34wQ+urr322qSkK1+wkTvvvLO65JJLkvXSPjuK/OMe97ikwF5wwQXVF7/4xa1VpVirl6A5CMFb3/rW5CaL2B533HHV+WsBTb71rW9tvb7+Qb0e//jHJ0KhjfIS5ETyzjrIUok0fO9736s+9alPJWL75je/ORFaZPQf//Ef61ne73MJPqw2XQnZFYyGq+9Tn/rU6m1ve1u1ZcuWRBoRlkhVkkly841vfCPJF4vaM5/5zOpRj3pUJzwWNa644oq0sPHyl788uVULanPyySdXH//4xxM5FAzolFNOSfJlkcDChmtOO+20iiU9J/LVJxsl+ZTKvcWE5z73udXv/u7vpv3B9gELypPlNtfJ+xj5tugw1I563vE5EAgEAoFAIBAIBAKBQGB6CKwEQeRutuOOOyayhwhxaWNd2Hnnnbe6lrLCIHPIGHLmevexMIpsysUT0XMcA6W9aSljqePSWd9Lx32PNcNeSPlThA877LDqiCOOSBZGlj1kLad/+Zd/qVhTRAFlMeQm6h4WPwF2DjzwwLQvLV/ffEdcd9lll1RvUVwp6hL3RO1Gylgrubj+0z/9U/qOpUUbWZFYmrrSGHza8nD/1772tUSglfe85z0vWQ8Rcf3QdHNsy2MjfydIC6sdy/RnPvOZFIH37rvvTmTvgAMOSFbstvZb5Lj99tvTQoP+ZxFm8Rb0xm8WJSxmIOesiq6xWEBWHfvCisiymNOQbJTkUyr36qrf1ddnJNBiC4LXlkrl271D7WjLP74LBAKBQCAQCAQCgUAgEFg/AkvvYpqbiODZj8i69tnPfjZZKZCUnJAyVgdkiiLKupKT/5E0FjxWQ0dmtCUWuuZ+QvlQfinlLCPZWklB95lLKtdL9yFrFPD8rgxWycc85jFJifdbX1IWwsVV9Dvf+U6yKKkrqw9LJ8uRlC00rKUPeMADEll79KMfncrpyn8MPtxbm4lrIqsYC+oOO+ywFScYIAZemzk5D9HiBBwsDCBvFiae/vSnp8WJLmz0K7nlyswCnC2xrL1PetKT0oKAvvP5+OOPTwsY5MjLNfYK6puchmSjNJ9Suc/llryXyre8htpRUl5cEwgEAoHArBDw3OfpY3sFHcHiskXpSIFAIBAIbAQE7mNRK9AaJI0FjYWCEk7hzImiTblmzWgGaqG0s65RtFlcppE8CJBClrVMEFklkUGWJJbFLWvul67z8KDwNvdltdXD/dxduQ6yLCG2LJPy2X777dMtrJOOWDjjjDOqY445phK0hyut/Whdab34sJYiQTBHSiNtiwDi9Z73vCcRuW1/6f+P5RHp1u/cqJuWbXiTdTJEfliO7UNEEO9Z22eb5S+XMiQbxlBJPjm/5ntT7pu/D/1fIt/yGGrHUDnxeyAQCAQCs0IAMaRL8HTg6WMettfcM3qze9PMCvPINxAIBOaLwH0Ma77lzqw0JLAZMRKh5EKaXeFmVTjyykWURYgLLHKnPvb12VvGOjiUkAFEj0sql04kUeCRJz7xiVtXJxFeZIIVkxXxmmuuSfsmjz766ORqWifOzfImxccqqXp479un2Cwv/u9HgKIBT7hyKeXeWU/cSikfFj+uvPLK5CLNksw6aYFCUKN6GpINY6Mkn3qe0/xcIt/KG2pHn4xPs76RVyAQCAQCTQQs1NlO4BnMS0gsAoHu9t577+Tp0+Vm38wn/g8EAoFAYFkRWDl/CNa6tkShFCGUsu3oC4p3TtzwfG+FjwWDFcSL4k0pz8n/Xl1l5Ou63rlbCiIjAipF+IYbbqjsJXzRi16U9h8iqCWJC+fzn//85FoqaiuXVfsPc6Lka49yWBEFLGFNuuiii5LbYb6u/j4Gn/p9+TOrrIehspVVxy1f431S7Op5bKbPXKfJpf2KX/7yl7eRW+TQ96zRt67tbT3nnHOSJXy33XZLix2wbuLdJxtWu0vzKe0DJNVLPYydkjQk3/LoawfX2kiBQCAQCCwCAc8+sQw8Bz3befw4asvzXYCwvE1gEXWLMgOBQCAQmBYCK0UQBWrxMkF7ryduj9z8RIu0klcPHkMxRhoFjLG/D9nhyse970c/+lFyEfG7/YSIJStb3teVSWRTGc91qCvGrEAUcPvJDj744OqNb3xjInGiWI6xeLBEsj5SvLUDMeMamJP9iTfddFNSyAWMOeSQQ1IkUxY+inVbGoOP+7Urt9E7gqksuFgtFTgF8YYVVxtt95ny3uybtvpslO/qGA21u4kpDPStKL0wvPTSS9MeW7LInRdhtErNBdVRIuRTeVyaXC/6KXmFvZf+6JONMfmUyj2liGzpe+NJPSxo9KUh+XZvXzu6ZLyvzFX5jYyQozZZ0vd1nHObfK/vSwl6vm/R7xZA8jzbVhdYaJdXV3INueN2bd43dny3bEmd9M9661aCGdkhE5shjcEVJm3jaixO8iCTtm2YgyWeH1z3uf6Tx0UmmOQ6LrIe9bJznZZJLnOd+uaXehvm8TnXaZlwmlW7S8djxmSZ+iljUtqGfH1+16a253X9e5/pd3VjV75/Xu8r4WJKMEy8rHEIHcC8I0/cO5AXZAqpOuigg6q/+qu/SscG5I3jzpejuHL/cJQE6xuLHJLFQpf3EYgGaaO5PX8Cw9hPkIkjxcxn9ZAEFLEvj6LOysMyiRwJguOcRXl6aLAkiuyIuDoew0OkxP1EPQWLkadAJ/XkoYQ4IMRcUdXDvod83ED92vx5DD6UEPXXLg9BxIJSLpqrMyKV/b73vS8dMWKAZMuXesFa8CCWsY2cyJP2kgNKLjlAaux1RfqafdyGKcJHRvSzKLQ333xzxU3YeZ3khqyJxsuaTOkgz2T2IQ95SPpd/7Bak1u4k68+2SCjFi+G8nFdqdxngmvfLYu5hACyEvalPvl2X187yPxGTJQ648wCALkwb0jGmHnAooFFIPKGlJtLvNxnvHrgkL96JOZlxcn4MV68OyqlnowVOJh78gKIhQhyDxfeHzlpszFozjcOtqzt+3a80JgFuZzXLN495LUxnxVrkU3fTZKGMDMHecHPM9NCqLFijJr/N1IqxZV8eD6aP2EAG/OfBWJ6wySJLHoOkjUyKZmryavx2Hfm7STlld5jntBOMpCVaXXVTuNmETIA72WTy8CpVKKmf92Y8biM/QSRMW3oQtDzmpu6OZquJ+ElUn7O+d+ip2vxhxz/IV30f3/o2a43zmeRVoIgAgo5pASb3CnMHhD2XyEjyJ7Jz4Nwv/32SwoqS54z+zwIKBmvfOUr07VA1CGUEgRTZE57+AR9QSApZSKCehib8D3YXU9pRpQQU2VzI2EZ1ME6USfpLNYg+wbtQzRJU94IOqXNkRksi5SEoUQg1EmZorDWEwVce2+88cZEChBaikD9wPT69flzKT4sQOpPKeU+g+wgANrrbEmY6guBdGDvSAbXqAN3ySY5yuVvpHey4VgV2JMl/QsjygFC38SgC1MEELF3pqSHOHn00v/clpwrSMZYvi1+sN6Se3ta99133zQeWE/0l3z6ZEO/leSDZJTKPZkWaRfxJBPK32effQa7uk++3dzXjro1fbCgFbnAPHHPmssamdK+rGSaO3xvLjP3UErNM5mMkwHzAyWY2xsZsHA0qwfGNOD0gDX3nnnmmYnQ1gkiHMiSOVTbLXxpNzJpnhGMi+zkZIHEYoM2Ow9U3stADrMSYaHD65Of/GRSAEQiLpn/c/vy+xBmSPItt9yS5mx9b/xSzD0rzSNZnnJ+q/o+FleLcMaK8QF3iy/kyfPc3Io8kTPP+0yqurAxp4tlQFHzLPWSLNh8/etfTyRRwLhJiWdXuSXf00nImTGgfeYI44D+YD43T897Yc1YXja5DJxKpGl215SMR6UvYz9lVErbkK9ve6fHnXDCCelZb2ucOcUcZGGd/kQXtEjqaD7PDmOXjul5l5PxbVzzVKQvzSKtBEGkMCGC9WMtusBw7atf/epk3bLajkghfc3VMwFjHDzuGg9UE6oHhAAgdeWKQuLVTM2AMwSaIuch8o53vCNZM63mIQY63kSN5HqQlCgI8nnxi1+cHl71FXP1oCQ68sMEjKj43UOpLjzN+ub/S/CRl31uXs2EAFLG4KZ82HrAenl4bpbEci1QjFdJ6sPU/ayz9q9SYKy6wtViSE5IwLHHHpuUEf2cV53c43r9Sg62DMhGaT4UqBK5Vz+TFKun8WMclaQ++Xb/UDtKyliVa8wdVhMd34PEG/d5DqL0OffVvPH2t789Ya1dHiBnn312ckv+kz/5kxTYihw4N9NY5E3RnDeWBQ/WFmSGJ4K5up4sSl177bWJ6Bx11FHJQ4QC/qEPfSgtSBkTcKi3zYPT/8ZEydxaL29Wn/UBoutYJp9Z5NVdX0+S+jCjsPA+MGe86U1vSs86ygUCfvrpp6cFUuf3LvP87FniOZn7sQujMbjy+rH4m8cO5Qv+t64tHlO6lEX+XKevjLW+ZMxZjKhHKbX4bGHQCxnfc889+7KY2W/0DAt0MDz88MO3LpKQO9b1q6++ujr00EO3GTczq8z/ZbyMchk4zbrXu/MvHY/G5TL2k5aNaUM3ElUahzxJzGc8wSw24TeMVIxMkjnfgpgAlebuOofBLTzveSzQyWeVVoIgTtJ4Cmhe4eu6n2LhlZN7Jk2snA5I/8pXvlL92Z/9WVqxzau2HkoES308UEqT+rTVyQCSEIVJVw5K8Omqp/IRkpxKiGm+Nt67EYArJa8rWTGqKyeuM8nUXdZKZKMkn646dH1vAhurgHbJtzJK2tFVl1X73qIAK4dFJBbBTA4pzSxpXNaRRtb8nIx7lmXKL0UMobdwwzJnL6tjdeqWtnzfot/Nf+qoztk9r14nD0X7m7nTsoxbiCFX2muO9ZsHY33epkxYnCPX+eFaz3MRn8k213Ev5J+irn8nSUOYsa6Kms1SCBvyY6GBd4cVaGScZYsFdtmSRSVkFkYWO8lxXx+OwZWs2PJBicoLB5Qs+ZtHjSteN5Q0MmQc9iULEHUro8+2ohiDFowtLvvOuK3PyX15Tus344m1zpivP49ZHowhXk7amefVrnLJj+v65nLt89IX9bKaeS6jXAZOzV6a3/+l45EONK1+mnbrxrShr2z6M0shIwx+4HndXFw3J/EwO+mkk7aZTzwHWSAtaO2xxx6DY7qvHkO/bViCONTwaf/u4cLdkFLDBZCi44HigeShoTOt7rEURQoEAoFAAAJWCCmYlCkWCFaKnLjFOerGA4Fyn4mj380rXpRq7u4Ua0opCwel+PLLL6/e8pa3bGOFzvku6t2DkPub1U/WHG7RzcQdLrvWc/WXzJ8W2CijFtkopvVk3rUK697tttsu/eQeuLkHLrBaxVSCGQLJNRlBZsnPMoRUwxDeyOkyEUREhNzqN3LAgofEWS2fVuJmi5hz+a8TIwqoVXfjjlcPJWzLmufFmES+kENjDQHj0QNjsgj3PpI7ppzSa+EJQ23mVYIUkwdjwG/Zw2QoP22w2MLTJC9w1+/RbkqyuYk7e1OprV+7jHIZONV7aL6fx4zHafXTtFs4pg19ZXseWaTKC1dt1xqz3E/ri00WZsxZ9iWa1+qGmrY81vtdEMT1Ivh/93vgeMjoPMdNXHXVVclvOE/MVvfteWibdKdUhcgmEAgEVgwByju3UIplUzlmWWFJM4dkpT83LxNDBNNDIycPFNdzbUS0+h5A+Z55vVs0o3x64HXVi8Jpf21OCBIln/JLITXHNq0WsLPfjqIvb9i4B3bud9+qzrslmAlOZX8y61F9/5sFScSaa2ufRShjPY93daLcsHbloyIe+9jHpj3YmdxPox6sYJmw1V315c36zPqe60FuxiRjDjm84IILkpyxHmoPwoscOnZq3okFwkudkEJ1sGhEoeWibeGgOW7a6kgxF3TOPnjut/Vxgxyy/nNXNU7pNH1pGeUycOrrsdn9NnY8TqufptmisW0YKjvPhRZSjC0LOuaPvH3IYm8zmdMEY3PdPBb8giA2e2DC/61qcwOz98ck6gFCoDy0TZT1iXbCIuK2QCAQ2GAIsKBwDzThZ4tZbiJlzUMEAfQAqSfKKLKFDNb3IPhszuFWyDLTRcTqec3js7ZYPNMee1a54vclcydyxNXInjF7ngXIcu5cPVHWXUMp1tYcrMd39jMiIYi24GWrlkox83zxqicyk1e7PZdE5F5k0j+IfHbJpOhwgXWWL8vvtBPskGMLBHXLu3IQJc9rxMliwtgEWwsWrP7yQDRz4mbKvXfeyQKSBWhj/sorr0wEz1hhpWBp4J1QkowhCzSCYnFVzySxTg7laX+6uacvLaNcBk59PTa738aOx2n10zRbNLYNfWWbQ8yHnoPmKQvF3i26CNrWZZm3eOMZZzvBPFIQxCmizI3Fw0EH1yPzTbGIyCoQCAQ2EAIeDMgeclh3JdFEcwmLIAJp1ZDCR7FFfLi2UVIpc/W9fH7nQudh5gG0DImSzpqHqHFda7azrY7qj0zYJ8YtlcseIkFRrVuEPFQRZUo/vLgNIpesp5/73OdS1qu4ODcJZnUcWVBhwSoncIoV+XknbbCPBlknq9ylKTf20oq8V1/YmHbdyImVeavyxkQzqVu+pvnb0P/kz94fr2VKXEv/6I/+KLmtw/rDH/5wijAt+AWCjtiVJBZdCig3dQFuyI8tNGIsyIN1sm6pLskzX7MMchk45d6Y33sea2PG47T6aVqtnKQNXWXnffXZHdxcJXCWMYs82ptYd4vP+XDvRiJLnqH5nvW8B0FcD3pxbyAQCAQC60CAlQxJzG4l9awQP3ubuIvalI5c2e/E/eviiy9OD4m2fQgUWJY6VhqK8KL331EuWUo9FJuWrnp7659d60gWR+tw3xONU3RokU1ZIDNJRII9NCWfESFuqNwIKbbOq+taja2Xt2yfJ8Est4FVTNAjgV8QMRbEeads2RWpFlmh9FjgYMkasjxNs65kv6loWUBQH2PDayMkCyrGmDFPudxll12SJdFCEgvnn/7pn6YgOm1kua39SKKjwT71qU9VZ5xxRpqfEPr1kMNlkMvAqa23t/3O2OWyn58f2/7a/p/51rNpKDBk6Xicdj+113qyb0vb0Je74GWebznYGi8HY858ZHua3+sLaAikxTYLLAceeGBf1lP9LQjiVOGMzAKBQCAQKEcAkeOm1qa4sYohO66xkn/uuecmV3WEMlti2o7+sUpLCaaQLZogWnXlisfqqS0ecpI2qaPffaf9mfRlpd2D2Asx9sC87LLLEgbcJbPrLFLIOsmS6OHpe5ZK5LqNdJf3zOKunASzXFuWImfh2ebw2te+Nin55GHeSd9yhzrvvPPStosDDjggubnOay8kWVIWZRcZrCf4kr98Tf23Vf3Mim58UCrtR9Xnzqd1RM4VV1xRfeITn0h7loyl0mQP45Of/OTq/e9/f/JkcKRTX5TtvnyXRS4Dp75euvc340PUW3tN81w8dBdyKCJwF0HMY610PM6in4baMPT72DZ05Yfs2TLhmZcJomstnBlfFnosetYJIi8ankTqAOt5pfk/OebVsignEAgEAoElR0CwDG5bHhptyUODYrbXXnslpdY+vlNPPTXtWbTC32aRoxCzmsi3aT1pK2OW3yGpVqKRWhGec0JgWE/95vw2hI4bKXdbrqUUDWQvB9bwULS3kqsi10m/ZSsVMuL8KA9ULjrccrnaydM10qJxyO0ueR+LWc4T6bEHjXLHymo/nHZTzmFU6mKY81vPO+XH4oXFD0QRSWHtRlC4Cs/aRYoixXJMfuBST6wTvlOHSV0l6/kt+jMlnpWWUm1O0HbJ3HD00UenAFfOFjXOSgkijIxRsmSvqHmKVRpeXLYt3JSmZZHLwKmsx1izjF3uj3n+HLrTeO8b02PG4yz6aaj+Jb+PaUNffjxinHlsAYaXS37Gmat9NmfyIKkn3iD2BRvTY8ZePY9JPgdBnAS1uCcQCAQCgSkggAjZkE+J9zDuIjIeHKxlLAFI4gFrFhkEoC0hmx5mCNKiE8WB26eHnlXQnFj9WEE9CH1vJZVicNNNNyV3OHsITz755K1KB2sQhR95ssItWYWlFLMUcqkTBZZiK4o011TYIqGwWGYioN8ROH2s/8dglvHUbsTaXlUKPYJIkYA7Um3RAEGbZ0LqBTMhp4Im2U/K5VEgN4sBiMasSCscnQGIjJKZejI+jDfjI1ui67+v2mfyYwFGmy2O1JMxkM/iJCMlyXXmGHsOLVAdfvjhae5hoeTJYDGmlCQuk1wGTiW9f+81SGIzuFP53fde2ZzXSsfjtPtpbL27rp9kTmliIO/vfve71YUXXpjiB9gCkQlinpc85+gE9cQrxuLfvI/JC4JY74XGZw9V7k8etGP3sZgYvQwyD/xIgcAsEViPrM6yXpF3PwKsXpQtRAmZodA1U1byRRVEAA4++OC0F8iqfjMhT4iT1VxnoS06UTDbgnaZT5FBobyRCMnDNJPbOqFDHCnA3FQpwFmpZ33kjgM/QX48wBHJrNhwOUWOlFHPb96YZCUBCfSqJ21DcikN2iB0+RjM5GXss84iYAgX4sP6I2/n78KpeYRKvQ6z/ix40Kte9apE4hFE/X777bcnomjfDcVRm8eujPfhqk1W6MlKPoM4u3ORJWMNSS21qM0ao/XkT8E0j3Artd+wHrGWDNA/MhZD5Zg/6uTQnkN946UPkUT7Enk1DJHEZZPLwGmo96f3e9u8lmVwaDxOs5+m16J7cyptg6vbMPC9sSq4HHKY5yRzmbFr76e5eru14GI5GUcWU0WlnpeLfi47CGJGovaO2HF14gdssqSU6MzSZJKlyHGFciC0Fd1V3Q9T2ua4bjEIrFdWF1PrKDUjQJlHCoS7ZgFi+ZI8XCxOIUXmIe5d9tkde+yxKQpk16KTBwzrHCVx6JyyXId5viPCLKHaSlH32cqoYz5YGj0cEWCuNCw/Ho7uueuuuxIBZI2yL0rKrqvOeMuWKETQfO0+D1Q4ck1dRNI+ddR/2omUaKtkIYCFDWFEmN7znvdUB6xZhd/97nffjygNYYYI22uGILKYUeIlbVcHwRB23nnn9N0i/yAZu+66awpUw93xuuuuS/slWTaReAsa9uAg+n2pBFf3kwOyIcgTN1cuc/B29AlsHAuhThshGTfGFBmAMfnK/c+ljUXCeaBDiZJ669qxMhZwMjnM9xiTSKLopiIE77vvvr16zTLKZeCUe3O2723z2pjxOK1+mnYrx7ShDQOLYBamWARxDOMNSfTc5iZOH7CdpL5QTA9wPV0vE8ppt6srvyCILchQxChs55xzTnqAcbEYQxC5r5io3/ve96YohN49nCIFAtNGYL2yOu36TDs/K2vSkNI47XLnlR/risiO9hgI5kJZ1laWNN/ZmO5BQtEV0bT+4GjWkULIGoVQUBKzpa153SL/d+QB5RJpcsC4OrOM2vOCICJ/yB2lniUUiaJoIr2Io3PZsoWQxQS5RoByQoqttrqeRQ7xGGuZynmt9x1B1VYPdxZdi4QsaFxq9bO2WS23iGjvmIXEtroOYSY/18Avj5dcd4TLYgE5W5YEC7Ks3xBm++PuvPPOJAPkAC59qQRX91ttFziDjMFdMq5YnZWziOiuqRIz+IO8GTfk7ZprrkkRERVj7MABGe7bI5arRHcxpshnG3lWDhdTc5NnT9/C9zLKZeCUe3q2723z2pjxOK1+mnYrx7ShDQP1sYjn2WdOEp3cOONBYkH0kEMOSXNTvd7mL89997DazzMFQWxBW2fYPIrVU9DGJkLEVxip9MBnUo8UCMwCgfXK6izqNK08EQTWAqvZk0bPm1ZdZpkPYmCVnwWAxclDgLKnzVYTS90jEUMPGjJBMV7G5MHv1ZWQvh133DFZEinyLG8IDgXX6mqdQNnLhlDWXW2t8IreyS2XldVcvKikbtna2VUH7bFA0HeQ+RBmyJbXqiWr4SzmFk956giIgtgPEcQSXDMWLNP77LNPegYbYyzNlLBlIsy5rut5J0cshBaFEGjkzFiyN9d8UrrAZrHCqy+xgHgNpWWUy8BpqNem83vXvFY6HqfVT9Npzba5jGlD19zOtd3zzDOOFXHLWoRv7qttW9noARZlPO+QxHmmIIgdaJtQPcAmMekKiiBIAEGyB2Zowu2oQnwdCBQhsB5ZLSpgARdZ6XeGGtdC/vobmSBSWilyVhy1GbnT3jrxGeoCbihcVJBEZIo1aZWTtlN4+9ziuuZnxLDLBXeVMdmodddXLL+zcolGlJCkea++L6K/LIjY1+kVqRuBwKkbm1n/MmY8Lms/jWlDF54s+qXzHi7hNe+0EIJodZw5VfhjioA9e6x1TKk2cHrlFS/fsSTUN7byp29TGLOvrtVjrjYUL3llkjem3L6OKKmT/Sbcfqz+1/fAcOGwr4gCnBV7JuY+ZRA+8nOPFYa8odU7LLTRioukjfDycj2l0zV5j06+hiIJL98T9oyv+rpefspU17ZySjBQ1iTtdd+qJLIGI7LM3SbLbo7QqI/Jal6xHtuXpeOkC6/SfiqRm6G+LMmjpP3k1v5d+6pga9Usj+VFWoS6MJ7G9/ZfWW3k2s7V1GphdqUcyh/uXL64k3FF9YoUCAQCgUAgEAgEAoHApAjMnSBSMkVcu/nmm9NeEQwaEbEHwV4NipGN0HkFjMuVDe1cp5hibdTkkrLbbrslX14NR2AQHEqlPTgUTHlSsCiXFCaKZWm5mZy2gaqskjohX5Q+/vw5P6SNyyqrCCujtlDg7cV4znOe01ZcagsrpA398HEthfDGG29M9WCp5EJjdQFZERwnnzdm7xLizSWHVQIRVSaztsAIlEqusEghX2gublxU9thjj0RYWSQcuszNi7tILqcUg0na2wrCEn+JCNpvyvLDbcDGfiSeu5TAIhYJuBq/7nWvG9WXY8ZJlq8mTKX9VCI3Q31ZkodxWSLLNneTb8ESEG4h8hFlY2QZInM2cZ7W//bMWSgyl1nAsVBTkixOmE8cjM3FMlIgEAgEAoFAIBAIBALrQaA/XNh6cu64l0XAJuozzzwzHfxICURA+N8iL2eddVZ1+umnJzJIUXLALuLHzczeAdYu52N9/OMfT4RIMfJ0rogzwhDCI488MoVOR5BOPPHEFHWLT35puR1VT1+X1omihvzWlXcb8oWIRiDe/OY3J+KA7Nkb0ZUoisjzJZdcUl111VXVbbfdloihfSlI6AUXXJDInfsRvFNOOaW6/vrr09lTyAq8TjvttET0XEPRF8XNeUaikSHqypcfS9fFF1+c8BckgrUHgVTH8847LxEeeZRiMEl75b9KidsSYijohk3HiAwckRl7aQRgsLghjenLMeOkC6/SfiqRm6G+LMmjtP2srY5G4F4oBL4Fi43gNtnVT/XvkUIR3ErJoXuRSnuCghzWkYzPgUAgEAgEAoFAIDApAnMniJQYCp8oWSx89t4gcccdd1x6sbg5Iwlx8c6yRQG3Qu56v7MwIEqUclYSBEpob8q6AAdIGUuYs3qQMeSKpaekXPl2JeWW1KnrfhZQVjuEC7lTR5Y9UY26EkWRlRBR01ZK82GHHVYdccQRySqlXc68klhNkWx4sRYKVrHd2nkqrIgsixLlW34Oz835Iav77bdf2girPISRNePAAw+sDjrooBT0AbFEdMZgMEl7UyVX7A/3x+xCmqvOYg3/7N7s+zF9WTpOuuR1TD+VyM1QX5bkUdp+Yx2mxrvPLNxId+wry9IV74FAIBAIBAKBQCAQCMwOgbm7mGoKq1ZW/ETykXLUIm5Sp556atqLQynkkoawsAZKLCssc1wqhVn2Yt3gfokYyTsn/3NZPf/885N1xxlaQ+Vm98ycR/2ddUhZQ3Wq31P/nANHsHbaoCrUNiLGetqXMl5InzzsK5QQEJ+5MXJVhcvxxx+fSAmF3QteLIFcAHOiaMPBnjkY5/2L8oer6+sbYpEd5Wj/GAwmbW+u56q/wzVjm9tS2pfuy9ciSF3jpEtex/RTidwM9WVJHjDIbRqS5YxXvAcCgUAgEAgEAoFAIBAIzBeB+9jUfMttLY21jxUQ2eESitQgT8KWNy00FE0EB3H0Ym1oBnqhWLPOIZGsaF2pXi5LWVfKB/QO1anrfvsqd9999+qMM86ojjnmmHRW2f777z8YCr0rP5ZSRIIlEGaUbnu0WCkRBwTxnrU9mfn3rnzy90ggXBHEelKO/Fk+WSztwSzBYNrtrddpo31u9mWTWNbbWyKvY2S1RG6G+rIkj3obmp+b7W/+Hv8HAoFAIBAIBAKBQCAQCMwHgaUiiJrMuoXYcc0TqEMABu5y3NPqiSsl4pMTEsiKWE/yYv3Krmr135qfc7kU3a4kyMaYOjXz0S5kl+WPFdGeSG6bRx99dHI1Rc7WkxDlK6+8Mu0xZC3lYotoCHAzrTQGg1m3d1ptWsV8huR1TD+VyM1QXxp7s5a9VeynqHMgEAgEAoFAIBAIBAKrhsDc9yD2AcRCJZAFS6BgMyIYirj55S9/OUWAzPfmSJz2IFJc7ddC3IR5pxjnxBLme/n0uXHWy+Xy2ZVYbkrq1HU/JVp9RLRkRRREhoXvoosuSq6gXfeVfI9E37oW8Oecc85JVlNRXhFjlj+vaaUxGMyyvdNqzzTyYf3ysmChH3Lyf6n1Nt9T8l4ir6X9VCo3fX1pf+K0Zc/ChhfZrS8EleAT1wQCgUAgEAgEAoFAIBAITI7AQgkiosdCmJNopgihQDSOBhCZj2vopZdeWomqiQD++Mc/ToTRsQKU1nzYpLMGHS2QA7bIk+LqHoFdHA+RU1+5+QwxiinlmTKelX6Wv5I65XKa7843c7wEhVeAGlFZtZNbq7Z0JderQ5Ps5fr5HvH84Q9/mPYj+h7Rhp1IlkgznL2QZr+35ZfLyfnm+uTvlWPPYikGk7Y3l7sq7xY0uEBz6+QaDXtyZ28o7Fm38x7QOpbwzClj7jvX1NOQvLon3+9dKpVVMlEiN9/4xjc6ZZfLcUkeZK+0/RY3jG3YwVU9BXaKFAgEAoFAIBAIBAKBQCAwWwTW59O4zrohRRRPAVHsf3NINOX6la98ZSJ1lF1RPkU05YaJvNl3aG+daKVerAwC0Yi26egGx2IIwMJF1fmJFMu99967evzjH7/1uIG+cgW2oZAjl8iqYB8UYMo+N1fRP4fq1AULsobYCughfL/9fKI15nD+bfchGJlsUJZ91n5J8B55IILINRy1HQkV1ARW2gBbUUzhwZKqbYgMUqld8nAfayZ3Q5h9//vfT0F/kA/Kv36Bm7JEoC3BYJL2tmGw7N/ZN/vUpz414e6oFfjCC+bkUN84BmL77bcv6kt9Vrd498kr6zmZmFRWuTWr/5DcsNY7F7NNdtVV4KahPFxXIsvakgmuM0OdJymR7x122GHZxSHqFwgEAoFAIBAIBAKBwEoj8P9OWEttLUAgKLoUsr59eW33Dn2HZDi+AvFifUF0MtnZddddU/AWLnsUQi6fiCISQ9H2PfdJR1YgQJJ9hurJimNPHyujaxEpRzogM+4rLZdyj0w5L5AVg1spV1b1YaksqVMbBsgXK6d6IX5ImPYjxAhjW3Ktugg8oy45QInvHWKP/Gm3l7MMYYL0UcRZKbds2ZIsj8ga61+2tFL4XZvzY9lxXAgyor/9JnKlcnyPKGq/PLj/ItxD/TJJe9swKP2OpQmZVf86wSq9f9Lr7Adk8ULgESXyh/RbuPAbi7jgQa6xIDLUl8iRfiKHQ+NEmeuRVeNCX5OjPrlBIrWtTXaR1JI8tls7coX8l7SflRq5hqWFC3JqQchYn2dCio0dlv7Nmoxj/WA+6DuSZyPi47nkufGUpzwlyeNGbGNXm8g+HWAzy34XNrP6PmNOx4nUjUDg1I1N/oXXkvlLsrAbqUqL3DGn3ScJdCv6DfnAL5ppoRZEVi5RPB0MjWxQjCmsOVFanf/n4UxZZtlDUFgqmgkpePWrX13tueeeyWWTZdG13ptpqFxk0ATdNUmX1qlZLrK20047JbdVlkltVZZ2diXkFEZezYSoNZOONjHIk9IuwQ92MFImS5ZgOc101FFHVV7N9OQnP7n5VbKmDvXLJO29X0Er8oW+OOWUU5LsIYIIDZdKwYL8n9OYvsz39MnrNGSV1fzYY4/tlRt1EYGXy3Wb7JbkQfYQ91JZtrjDawCO8IwUCAQCgUAgEAgEAoFAIDB7BBZKEDUPkaHk9iWKJbJXklhsEM2hVFJuXx5j6pTzcY+kbNa4WSQug9xW68nKQNvqQP2aST4PYTCP9k5S71ndw+LllRNZnFZaj7wO9ZM6lspNn+yW5jEGExbDeVsNx9Qvrg0EAoFAIBAIBAKBQGCjIXCfuW6OLctBN1gjfJ5XWlS582pflLOxEAh53Vj9Ga0JBAKBQCAQCAQCgUBgFRCYO0G0Z4rfq3eWDXvG/v3f/z25rs0SsEWVO8s2Rd4bF4GQ143bt9GyQCAQCAQCgUAgEAgElhmBubuYCnggmMjOO++c9geKmCn4hT1cXNRmlRZV7qzaE/lubARCXjd2/0brAoFAIBAIBAKBQCAQWFYEZsfIOlosSMU8I0zmaiyq3Fx+vAcCYxAIeR2DVlwbCAQCgUAgEAgEAoFAIDAtBDoJIvdP1j3uoN4jBQLLjkA+01FwGFbpSIHAehFwvI6owJtZnhyZw+vD+Nps0WSFABdBW7h4RxJtpuTIo80u+/Pu78C8DPHAaRgn0cbhJG3m51cdqZCbOhpVOmrQEXdd6WfWzrf737Yfv/e971XXXXddCts/S9fPtrLju0BgEgQch2Axg7xG5MtJEIx7mgjYH01Jdo7lZk05WJLjhepRejcDHv/1X/+VjlkRGTpHZd4M7dbGkP3593RgXoZ54DSMk6PjPLukzba41YVOyM22yJAP3mqOB2w7TaKTILoR2w7r4baAxn+BQCAQCAQCgUAgEAgEAoFAIBAIrDICFg8e+MAHtp7H3kkQV7nBUfdAIBAIBAKBQCAQCAQCgUAgEAgEAoHxCMz9mIvxVYw7AoFAIBAIBAKBQCAQCAQCgUAgEAgE5oFAEMR5oBxlBAKBQCAQCAQCgUAgEAgEAoFAILACCARBXIFOiioGAoFAIBAIBAKBQCAQCAQCgUAgMA8EgiDOA+UoIxAIBAKBQCAQCAQCgUAgEAgEAoEVQCAI4gp0UlQxEAgEAoFAIBAIBAKBQCAQCAQCgXkgEARxHihHGYFAIBAIBAKBQCAQCAQCgUAgEAisAAL/HxzJ5PZv4lpVAAAAAElFTkSuQmCC :alt: word2vec-weat word2vec-weat It is possible also to expirements with new target word sets as in this example (Citizen-Immigrant) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ No WEAT bias in this case. .. code:: ipython3 from responsibly.we import calc_weat_pleasant_unpleasant_attribute targets = {'first_target': {'name': 'Citizen', 'words': ['citizen', 'citizenship', 'nationality', 'native', 'national', 'countryman', 'inhabitant', 'resident']}, 'second_target': {'name': 'Immigrant', 'words': ['immigrant', 'immigration', 'foreigner', 'nonnative', 'noncitizen', 'relocatee', 'newcomer']}} calc_weat_pleasant_unpleasant_attribute(w2v_model, **targets) .. parsed-literal:: {'Attrib. words': 'Pleasant vs. Unpleasant', 'Na': '25x2', 'Nt': '6x2', 'Target words': 'Citizen vs. Immigrant', 'd': 0.70259565, 'p': 0.13852813852813853, 's': 0.1026485487818718} Did Tolga’s hard debias method actually remove the gender bias? --------------------------------------------------------------- .. container:: alert alert-warning Warning! The following paper suggests that the current methods have an only superficial effect on the bias in word embeddings: Gonen, H., & Goldberg, Y. (2019). `Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them `__. arXiv preprint arXiv:1903.03862. Note: the numbers are not exactly as in the paper due to a slightly different preprocessing of the word embedding. First experiment - WEAT before and after debias ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 # before calc_all_weat(w2v_gender_bias_we.model, weat_data=(5, 6, 7), filter_by='model', with_original_finding=True, with_pvalue=True) .. parsed-literal:: /project/responsibly/responsibly/we/weat.py:368: UserWarning: Given weat_data was filterd by model. .. raw:: html
Target words Attrib. words Nt Na s d p original_N original_d original_p
0 Male names vs. Female names Career vs. Family 8x2 8x2 1.2516 1.9518 0 39k 0.72 < 1e-2
1 Math vs. Arts Male terms vs. Female terms 8x2 8x2 0.2255 0.9981 2.3e-02 28k 0.82 < 1e-2
2 Science vs. Arts Male terms vs. Female terms 8x2 8x2 0.3572 1.2846 4.0e-03 91 1.47 1e-24
.. code:: ipython3 # after calc_all_weat(w2v_gender_debias_we.model, weat_data=(5, 6, 7), filter_by='model', with_original_finding=True, with_pvalue=True) .. parsed-literal:: /project/responsibly/responsibly/we/weat.py:368: UserWarning: Given weat_data was filterd by model. .. raw:: html
Target words Attrib. words Nt Na s d p original_N original_d original_p
0 Male names vs. Female names Career vs. Family 8x2 8x2 0.7067 1.7923 0 39k 0.72 < 1e-2
1 Math vs. Arts Male terms vs. Female terms 8x2 8x2 -0.0618 -1.1726 1.0e+00 28k 0.82 < 1e-2
2 Science vs. Arts Male terms vs. Female terms 8x2 8x2 -0.0286 -0.5306 8.4e-01 91 1.47 1e-24
For the first experiment, the WEAT score is still significant, while not for the other two. As stated in Gonen et al. paper, this is because the specific gender words as an attribute in the second and the third experiment are handled by the debiasing method. Let’s use the target words of the first experiment (Male names vs. Female names) with the target words of the other two experiments as attribute words (Math vs. Arts and Science vs. Arts). .. code:: ipython3 from responsibly.we import calc_single_weat from responsibly.we.data import WEAT_DATA .. code:: ipython3 # Significant result calc_single_weat(w2v_gender_debias_we.model, WEAT_DATA[5]['first_target'], WEAT_DATA[5]['second_target'], WEAT_DATA[6]['first_target'], WEAT_DATA[6]['second_target']) .. parsed-literal:: {'Attrib. words': 'Math vs. Arts', 'Na': '8x2', 'Nt': '8x2', 'Target words': 'Male names vs. Female names', 'd': 1.513799, 'p': 0.0009324009324009324, 's': 0.34435559436678886} .. code:: ipython3 # Significant result calc_single_weat(w2v_gender_debias_we.model, WEAT_DATA[5]['first_target'], WEAT_DATA[5]['second_target'], WEAT_DATA[7]['first_target'], WEAT_DATA[7]['second_target']) .. parsed-literal:: {'Attrib. words': 'Science vs. Arts', 'Na': '8x2', 'Nt': '8x2', 'Target words': 'Male names vs. Female names', 'd': 1.0226882, 'p': 0.022455322455322457, 's': 0.20674265176057816} Second experiment - Clustering as classification of the most biased neutral words ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code:: ipython3 GenderBiasWE.plot_most_biased_clustering(w2v_gender_bias_we, w2v_gender_debias_we); .. image:: demo-word-embedding-bias_files/demo-word-embedding-bias_91_0.png