From 17e2d9de3b1f350eac98b59e14046a05426d6f5f Mon Sep 17 00:00:00 2001 From: Logical <598669236@qq.com> Date: Sat, 12 Dec 2020 23:50:02 +0800 Subject: [PATCH] =?UTF-8?q?=E5=9F=BA=E4=BA=8E=E5=A4=9A=E6=A8=A1=E5=BC=8F?= =?UTF-8?q?=E4=B8=8B=E7=9A=84=E6=83=85=E7=BB=AA=E8=AF=86=E5=88=AB=E7=AE=97?= =?UTF-8?q?=E6=B3=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../Audio Analysis/RAVDESS/Readme.md | 70 + .../Audio Analysis/TESS/Readme.md | 20 + .../Audio Analysis/TESS/TESS-1-EDA.ipynb | 1 + .../TESS/TESS-2-t-SNE 2D&3D.ipynb | 1 + .../Audio Analysis/readme.md | 181 + .../LICENSE | 674 ++++ .../MELD.PNG | Bin 0 -> 403417 bytes .../MELD_fig2.png | Bin 0 -> 113937 bytes .../MELD_fig3.png | Bin 0 -> 144313 bytes .../MELD_fig4.png | Bin 0 -> 60737 bytes .../MELD_fig5.gif | Bin 0 -> 1550816 bytes .../Unimodal_text_1.png | Bin 0 -> 1774821 bytes .../baseline_model.png | Bin 0 -> 209443 bytes .../README.md | 63 + .../csv/dev_sent_emo.csv | 1110 ++++++ .../model/multimodal_baseline.ipynb | 582 +++ .../model/unimodal_text_1.ipynb | 3291 +++++++++++++++++ 17 files changed, 5993 insertions(+) create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/RAVDESS/Readme.md create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/Readme.md create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-1-EDA.ipynb create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-2-t-SNE 2D&3D.ipynb create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/readme.md create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/LICENSE create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/MELD.PNG create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/MELD_fig2.png create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/MELD_fig3.png create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/MELD_fig4.png create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/MELD_fig5.gif create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Multimodal-architectures/Unimodal_text_1.png create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/Multimodal-architectures/baseline_model.png create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/README.md create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/csv/dev_sent_emo.csv create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/model/multimodal_baseline.ipynb create mode 100644 src/MULTIMODAL-EMOTION-RECOGNITION-master/model/unimodal_text_1.ipynb diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/RAVDESS/Readme.md b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/RAVDESS/Readme.md new file mode 100644 index 0000000..eaf9e4d --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/RAVDESS/Readme.md @@ -0,0 +1,70 @@ +## The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) + +Livingstone, Steven R.; Russo, Frank A. + +Citing the RAVDESS + +The RAVDESS is released under a Creative Commons Attribution license, so please cite the RAVDESS if it is used in your work in any form. Published academic papers should use the academic paper citation for our PLoS1 paper. Personal works, such as machine learning projects/blog posts, should provide a URL to this Zenodo page, though a reference to our PLoS1 paper would also be appreciated. + +Academic paper citation + + Livingstone SR, Russo FA (2018) The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English. PLoS ONE 13(5): e0196391. https://doi.org/10.1371/journal.pone.0196391. + +Personal use citation + + Include a link to this Zenodo page - https://zenodo.org/record/1188976 + +### Emotion Classification Users +If you're interested in using machine learning to classify emotional expressions with the RAVDESS, please see our new RAVDESS Facial Landmark Tracking data set [Zenodo project page]. + +Construction and Validation +Full details on the construction and perceptual validation of the RAVDESS are described in our PLoS ONE paper - https://doi.org/10.1371/journal.pone.0196391. + +The RAVDESS contains 7356 files. Each file was rated 10 times on emotional validity, intensity, and genuineness. Ratings were provided by 247 individuals who were characteristic of untrained adult research participants from North America. A further set of 72 participants provided test-retest data. High levels of emotional validity, interrater reliability, and test-retest intrarater reliability were reported. Validation data is open-access, and can be downloaded along with our paper from PLoS ONE. + +## Description + +The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7356 files (total size: 24.8 GB). The database contains 24 professional actors (12 female, 12 male), vocalizing two lexically-matched statements in a neutral North American accent. Speech includes calm, happy, sad, angry, fearful, surprise, and disgust expressions, and song contains calm, happy, sad, angry, and fearful emotions. Each expression is produced at two levels of emotional intensity (normal, strong), with an additional neutral expression. All conditions are available in three modality formats: Audio-only (16bit, 48kHz .wav), Audio-Video (720p H.264, AAC 48kHz, .mp4), and Video-only (no sound). Note, there are no song files for Actor_18. + +### Audio-only files + +Audio-only files of all actors (01-24) are available as two separate zip files (~200 MB each): + + Speech file (Audio_Speech_Actors_01-24.zip, 215 MB) contains 1440 files: 60 trials per actor x 24 actors = 1440. + Song file (Audio_Song_Actors_01-24.zip, 198 MB) contains 1012 files: 44 trials per actor x 23 actors = 1012. + +### Audio-Visual and Video-only files + +Video files are provided as separate zip downloads for each actor (01-24, ~500 MB each), and are split into separate speech and song downloads: + + Speech files (Video_Speech_Actor_01.zip to Video_Speech_Actor_24.zip) collectively contains 2880 files: 60 trials per actor x 2 modalities (AV, VO) x 24 actors = 2880. + Song files (Video_Song_Actor_01.zip to Video_Song_Actor_24.zip) collectively contains 2024 files: 44 trials per actor x 2 modalities (AV, VO) x 23 actors = 2024. + +## File Summary + +In total, the RAVDESS collection includes 7356 files (2880+2024+1440+1012 files). + +### File naming convention + +Each of the 7356 RAVDESS files has a unique filename. The filename consists of a 7-part numerical identifier (e.g., 02-01-06-01-02-01-12.mp4). These identifiers define the stimulus characteristics: + +### Filename identifiers: + - Modality (01 = full-AV, 02 = video-only, 03 = audio-only). + - Vocal channel (01 = speech, 02 = song). + - Emotion (01 = neutral, 02 = calm, 03 = happy, 04 = sad, 05 = angry, 06 = fearful, 07 = disgust, 08 = surprised). + - Emotional intensity (01 = normal, 02 = strong). NOTE: There is no strong intensity for the 'neutral' emotion. + - Statement (01 = "Kids are talking by the door", 02 = "Dogs are sitting by the door"). + - Repetition (01 = 1st repetition, 02 = 2nd repetition). + - Actor (01 to 24. Odd numbered actors are male, even numbered actors are female). + +### Filename example: 02-01-06-01-02-01-12.mp4 + - Video-only (02) + - Speech (01) + - Fearful (06) + - Normal intensity (01) + - Statement "dogs" (02) + - 1st Repetition (01) + - 12th Actor (12) + - Female, as the actor ID number is even. + +License information-The RAVDESS is released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, CC BY-NC-SA 4.0 diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/Readme.md b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/Readme.md new file mode 100644 index 0000000..77f33cd --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/Readme.md @@ -0,0 +1,20 @@ + +# Toronto emotional speech set (TESS) Collection + +These stimuli were modeled on the Northwestern University Auditory Test No. 6 (NU-6; Tillman & Carhart, 1966). A set of 200 target words were spoken in the carrier phrase "Say the word _____' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 stimuli in total. + +Two actresses were recruited from the Toronto area. Both actresses speak English as their first language, are university educated, and have musical training. Audiometric testing indicated that both actresses have thresholds within the normal range. + +Authors: Kate Dupuis, M. Kathleen Pichora-Fuller + +University of Toronto, Psychology Department, 2010. + +Files are also available to download via Scholars Portal Dataverse. https://doi.org/10.5683/SP2/E8H2MF + +This collection is published under Creative Commons license Attribution-NonCommercial-NoDerivatives 4.0 International. + + +T-sne Visuals are not visible in here after downloading: +https://www.kaggle.com/ashkhagan/tess-2-t-sne-2d-3d?scriptVersionId=39591419 + +![](https://i.imgur.com/geg11jG.png) diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-1-EDA.ipynb b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-1-EDA.ipynb new file mode 100644 index 0000000..d787550 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-1-EDA.ipynb @@ -0,0 +1 @@ +{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Toronto emotional speech set (TESS) Collection\n\nThese stimuli were modeled on the Northwestern University Auditory Test No. 6 (NU-6; Tillman & Carhart, 1966). A set of 200 target words were spoken in the carrier phrase \"Say the word _____' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 stimuli in total.\n\nTwo actresses were recruited from the Toronto area. Both actresses speak English as their first language, are university educated, and have musical training. Audiometric testing indicated that both actresses have thresholds within the normal range.\n\nAuthors: Kate Dupuis, M. Kathleen Pichora-Fuller\n\nUniversity of Toronto, Psychology Department, 2010.\n\nFiles are also available to download via Scholars Portal Dataverse. https://doi.org/10.5683/SP2/E8H2MF "},{"metadata":{},"cell_type":"markdown","source":"# EDA OF Tess Dataset\nOnly Based on 2 Speakers-a young female and older female which bias in audio features but it should be balanced the male dominant speakers on dataset SAVEE\n\n7 key emotions in this dataset-angry,disgust,happy,fear,neutral,Pleasant_surprise,sad"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Import libraries \nimport librosa\nimport librosa.display\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport tensorflow as tf\nfrom matplotlib.pyplot import specgram\nimport pandas as pd\nimport glob \nfrom sklearn.metrics import confusion_matrix\nimport IPython.display as ipd # To play sound in the notebook\nimport os\nimport sys\nimport warnings\n# ignore warnings \nif not sys.warnoptions:\n warnings.simplefilter(\"ignore\")\nwarnings.filterwarnings(\"ignore\", category=DeprecationWarning) ","execution_count":6,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"TESS=\"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/\"\ndir_list = os.listdir(TESS)\ndir_list.sort()\ndir_list","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"['OAF_Fear',\n 'OAF_Pleasant_surprise',\n 'OAF_Sad',\n 'OAF_angry',\n 'OAF_disgust',\n 'OAF_happy',\n 'OAF_neutral',\n 'YAF_angry',\n 'YAF_disgust',\n 'YAF_fear',\n 'YAF_happy',\n 'YAF_neutral',\n 'YAF_pleasant_surprised',\n 'YAF_sad']"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"path = []\nemotion = []\n\nfor i in dir_list:\n fname = os.listdir(TESS + i)\n for f in fname:\n if i == 'OAF_angry' or i == 'YAF_angry':\n emotion.append('female_angry')\n elif i == 'OAF_disgust' or i == 'YAF_disgust':\n emotion.append('female_disgust')\n elif i == 'OAF_Fear' or i == 'YAF_fear':\n emotion.append('female_fear')\n elif i == 'OAF_happy' or i == 'YAF_happy':\n emotion.append('female_happy')\n elif i == 'OAF_neutral' or i == 'YAF_neutral':\n emotion.append('female_neutral') \n elif i == 'OAF_Pleasant_surprise' or i == 'YAF_pleasant_surprised':\n emotion.append('female_surprise') \n elif i == 'OAF_Sad' or i == 'YAF_sad':\n emotion.append('female_sad')\n else:\n emotion.append('Unknown')\n path.append(TESS + i + \"/\" + f)\n\nTESS_df = pd.DataFrame(emotion, columns = ['labels'])\nTESS_df['source'] = 'TESS'\nTESS_df = pd.concat([TESS_df,pd.DataFrame(path, columns = ['path'])],axis=1)\nTESS_df.labels.value_counts()\n","execution_count":8,"outputs":[{"output_type":"execute_result","execution_count":8,"data":{"text/plain":"female_fear 400\nfemale_sad 400\nfemale_angry 400\nfemale_disgust 400\nfemale_surprise 400\nfemale_neutral 400\nfemale_happy 400\nName: labels, dtype: int64"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"We have around 400 files for a particular 200 from old female and 200 from young female."},{"metadata":{"trusted":true},"cell_type":"code","source":"# lets play a fearful track \nfname = TESS + 'YAF_fear/YAF_dog_fear.wav' \n\ndata, sampling_rate = librosa.load(fname)\nplt.figure(figsize=(15, 5))\nlibrosa.display.waveplot(data, sr=sampling_rate)\n\n# Lets play the audio \nipd.Audio(fname)","execution_count":9,"outputs":[{"output_type":"execute_result","execution_count":9,"data":{"text/plain":"","text/html":"\n \n "},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# lets play a happy track \nfname = TESS + 'YAF_happy/YAF_dog_happy.wav' \n\ndata, sampling_rate = librosa.load(fname)\nplt.figure(figsize=(15, 5))\nlibrosa.display.waveplot(data, sr=sampling_rate)\n\n# Lets play the audio \nipd.Audio(fname)","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"","text/html":"\n \n "},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ../input/toronto-emotional-speech-set-tess/","execution_count":11,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"ls","execution_count":12,"outputs":[{"output_type":"stream","text":"\u001b[0m\u001b[01;34m'TESS Toronto emotional speech set data'\u001b[0m/\r\n\u001b[01;34m'tess toronto emotional speech set data'\u001b[0m/\r\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd 'TESS Toronto emotional speech set data'/","execution_count":13,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"Here In this we are doing EDA on Old Talker who is speaking in angry manner and she is saying 200 words ' say the word - $word ' is what they say in all audio files"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_angry","execution_count":14,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_angry\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"import librosa\nimport librosa.display\nimport matplotlib.pyplot as plt\nimport IPython.display as ipd\nimport numpy as np","execution_count":15,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"data, sampling_rate = librosa.load('OAF_back_angry.wav')\nplt.figure(figsize=(15, 5))\nlibrosa.display.waveplot(data, sr=sampling_rate)\n\n# Lets play the audio \n#ipd.Audio('../input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_angry/OAF_back_angry.wav')","execution_count":16,"outputs":[{"output_type":"execute_result","execution_count":16,"data":{"text/plain":""},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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ZzzdUw98nR5M/9dHC2rddnm9BmL8Z/FmV6Pb959Y2qzq7KaBmQeq8Dm3BKU1TS42YIoNjCQoxbzJWaZtzM/8A0JgndXZOGtZQeMx+YLjOPjPfnlURPAUmxRRQ6e+GFHiFsSnuqtdqw96LnkOlE0aqqDUkCbY7dAr0Lp6fpXXOV5Pmpzjz9jzm5MfmV5i/ZHFE0YyFFAldd4T7+MdOYLll1KTHltBTY4zBkg9zi6EX74f+LevgItlXrOjnz8/p01IW4Nxbrn5+xG5rHKoB1PXefU+cHT/Ph9BcGbw1ZazVE4IoCBHLXC/iBeSELl+8152HG4DIDW69hYjlz7Rs3JNpcpr27GujixytcS1xQ8HEj2LlufQ0gUSm8vO4gft7jOQ2uJj1dle567pr7q35hHxszz1iweeoKEsb33E4y384+nUT6esijWMZCjFrv5g3WhbkLA3f/lVjw7e7fH19VFxHyBY9GTpgkBXPfOGvx74f5QN4XILfNfcRU7aChM+KvT5cmfdiLLxw4Kc4elouI3Y8SumW1rDAib9z4iYiBHAdZUD1wksHj5K1G9hC4BnQA25hSjopbpH54IAKsPFmHODi6yHA4GPfpr1MxpJYp2obi2mo+orncOlz232/m8fw+BIuBardIc9JVW12PKa5wzR7GHgRwFVKSmauUWVRvpJu5+BtfqWtJl26veWt1klS6icGG1S2xxKCNO7qvvEYUDb6npUkrYmsgKKShv/GwL01dP73R3nXN63djO66FdglDj+K0YkTt4vMpYZ+5QcfStYUvkCQM5Cqjp321HXknknVTPfGkJPtbXwXO8uHjqBZWmr4qVKZZOMqbPxn59QrzFwjwaIiJ/mzFnD0Y9Nc/rNuOfW4RyU8aI68Ld3q9fdum8nTEy5+Op3VP1Z+N1N+8x79oIPh02PuPFJai3Nr08ElE0YCBHAbfzSHmom9Ai5fpi30bPp/B8oZFG0ROpNjVkH6/CxpziwDU0whSU1wHgfIhwcrSMi7MTRRJv589teWWoqrdh7o6jXgM6q81UvKSJkTbXF6Tb14ORiWMekXRXQZooFjCQI/JEvxD8lnkcQBOpLHC+oBmTtwHc/dlGXPXW6gA1kqj1vtvknwp4RBQc6mqUMX22y8iasjar2OiQ9GmfjX2WALykWDaxH3PmSlPbm6+sDMGIfMdAjggw0jD6P9KY+tdgSousrGu8IJo7+1wyKHkl8qjxZkH7pqymgYsshxirrDZPdX10r49JkUHNBauuc66mqs6xTc2TM2+vNKY6ephK4DL6pd7nfYTP02NfWulpHp25YiZRrGEgR83WVN68mTl9Iximvb4CK/YX+rz9kMfn4EhpDaQE/rf+EADgraUHXLbz9JOYq3dxiTTPzPMojpbVcpHlEMopqnLtiCCvHvlue6ibQDHu9cWZOOPFJT5tW+OwbMaqA8eN783XcvOl3by8nMfUSz+lMbrsxYf9em5Tq5tDFBEYyFHAhaJM8s4j5Vix/3jTGzoorNDmbr3/W5bHbTI9LIJu99K1yAuKs5oG7abCHCgXVdZ5XJiWAsNulzjrpaX4bnNeqJsSUYqr6kPdBCK3bvtoPfYVaNcpde158OstAIAGmx3Xv7vW2NZflybzsgH+uuY5FkFp7oibXUrUNnDdR4p+DOSo2Zp7kt5xODKKnVzztu/z2NQCqvv0csfqd3LguHYBbdBTNSWAvXqqJmme+9X9Autj/rkQryzYF+TWxLbP1uYAAMpruN4hUaRy7CxdvOcYjldqnZKfrtH+vhftPoaM6bN935+Ha7wKpmqaCJBavo6cdPraPK7rzA17Yi7WZ7PQGEU3BnLUbM09xc5a5pqiGCi7jpQ7pZE05fI3V+LvP+4AANQ1o1yxKoDysh54nPuvpQCAK2euAgDc+elGAECJQ899aXU9dkVoBU9/qvAy+d5dOisFzuFSrVolB42bxy4l5xVS2PBWiAtovLbtzXffqeg659vT3Djt699/3AkA+Hh1jul190VOmpor1xyOVaTdt9F551wLkqIdAzlqtpb0lgVrgc6pr6/AzKXaItyfrcnBwEd/ddlGSokHv9qKzbkl2HKotNkpmO5UeQgev9vcWA3w2dm7MfX1Fa0+VqTj8nHhI8GiXQL4X9I8KzOLOE+OIk52UZXTY3UpLzKlCpvXP/V0yVdTDZbr89E9FzPxsEyBH7qQPKVcckoDxQoGctRsLTk/nvHiEiMdMdA25ZYAAKrrbbDZXXvO80pq8O2mPPxztpbiVxekPPqm0lFihYXlxcJGY8U3/p8015ZDpaFuApGTgnLvo0+q8JinNdfUs+asFhVwvb38oNv9qs5QY6/6/nydo9ZUwZLm3HMwgKNYw0COmq2lJ8qjpcFZdHhvvnNBkm83ORdyUAU11MXMvMwABRZH5MJDxvTZ2H1US7WysshMs3HuK4Wb383yPs/7L19u8fq6OfAyB3y7j3qfGmC+N/hoVbbT800uR+DheUdN/d2Z13IlinYM5KjZWpoOUVlnxatBKGZhDhSOVdShvLYB+WW1yJg+G+/ovYqbcrUedc51Ca4jnLMQNhbuLgDgZh1EIooYBworsfVQKXJ9nMKg5o2Zl81pnCcu9de1R75WE84v1zprzXPnftp6BEBjBoCnFMvC8jrTdqZlfRyozqemmhaKfsObP1iHOiszcCg44kPdAIo8LR2R21dQgX8v2o/7zx/i3wbpVO+hOUvs561H8NK8vbh5Qj8AjevE9WqfgsOlNSx5TzHPX+tAEVHglFTVo0ObRJfnb3hvrZutPVNz1vNK9GJH+p+/Sqk0nw7u/3KrT/v9Yp12bS0zVcFVy3Wo/ZqLqRws1KZdrNMrTPqyjMG8nVon1Atz97h9PZTntGX7ClFcVQ+rTaLOasOgru1C1haKfhyRo6ixXM/TL9B79ZQ9eqWu7YfLnJ5XFfvKvVRRJIpmHVITAHgu1kPeMQCmYDrlmQVYvq+w1fu58X0t8FOf38bAynmu3N2fbWz1sRxl6/Pkv9ukFQHbqVdxPlDoPB1CjcTtdKjy3GDz7W/N3d/k6gNFTc4f9Lc4IXD1rFWY/MryoB6XYg8DOWqWjOmzjTVqmiunKHCVK7OPV6GoiXapVEoKPo56hoaU0uuSDixy0jpMSaVgK6lu/WL0KihSn99tedq10dOImb+sPljk9HiXPufOvCTNykzn7Vpyz6F+AiGA695dg8d/2NHsfTRHXkk1NuaUND4hXIvGEAWCXwI5IcQUIcReIUSmEGK6m9eHCSFWCyHqhBAP+eOYFDrlNS0bwfp6Y17TGzVT5rEK1FvtOPtfS/GxPrE63Nns0kg1iQUNNjsGPzYn1M2ISVJqqUcNNrvbCnIcUWod/v4o2Kr9GBw89r22hMa/5mtz16P901xcVY9jFf4dmTtQWAm7XeKezzfhqrdWOb3GjjIKhlYHckKIOABvArgIwHAA1wkhhps2KwZwH4B/tfZ4FHqtPTcdKa3BGlPPXEtNfmU5PliZBcA1Lz9cfbsxD6OfWRDqZgRNpI3G3fXpBqeF3COZ6lnPPFaJYU/M9ftNTKzjiBwF22sL/VcwbP8x55TGJ/RRK8eUxkjx+RqtwIq3P8krZ67EWS8u9etxz3t5GX7edsT1BZ4bKEj8MSI3DkCmlPKglLIewP8AXOa4gZTymJRyPYDIuNMmr1rbCT1xxmJc+84a/zQGQHWdNkJoC/Pe8V+2HQWgpWDEEvXf8uaSTJ+2v3LmSvz5i80BbJErm13iM/1GYN7OAmwzzaeMVCrQ+PuP2g3aqwv2YdyzC7Fgl1YoILz/YsJfoFLQiDzxda5YS6iFwb2lY4erXaalEdz9aR6vrPfLeq6bckuQMX228biuwR6S6phEgH8CuV4ADjk8ztOfoyjV0uUH/OmR77Zhr17EZEWmVuTkUHFw1qnzl+zjVbj+3TWQUho/SzRSn5aZPgZym3JL8dv+1k/ob46coiqnORSLdhfg8jdXBrUN/iSlxItz9xiBhgroNmSX4FhFHR74SltPiktvtE6sdcpQ6DFgcM+XSpf+sudo09drczMyps9GqR/mNxKZ+SOQc3deafGfkhDiTiHEBiHEhsLC4N7MkW9mLTsY6ibgi3WH8LO+Nk1RZWSeHNccLMKqA0VYfaAIF74WvZWt1Dyi+DjfTzf11uCmY5pHVubvLMCWQ5FbHKfOasfMpQdgsztXpVNp0VNH9gAA43VqmcmvLOc8OQqqoihJ+w6URframO7uQtXN6or9hRj/3MJm7/uVBfvwjae5/j7MOTEXdSHyB38EcnkA+jg87g3ATcKwb6SU70gpx0opx3bp0qXVjSP/UwFUa1XWWZGrV7KsrPPtBGe12Y0bJ5X+5ut7w1VtlC8cqq6n5oXavamqt6GsOnSZ2OEw6twadQ1aIPyyXsTAbuqtVlXgIvunDA+DH5uDJXuPhboZRITG62m9PjfbXT/LmoNFxjJFzZlb//qi/fjP4v1uYzbzU+6Oyz4fCgR/BHLrAQwWQvQXQiQCuBbAT37YL0W5815eijNfWoJNuSUY+eQ8n94z6LE5+H6ztgZNbpG2Jk2kV4AU+iWgss6K2z9aH+LW+J/UB9eaexE76R/zW33sjOmzvXY82O0SZTUNRtv+ZFo3yW6XeH7O7ogbdVHzRZfu0wIMm915hFMtBMw0rdaz2iUOmIpGEFFwmYMrd1V6FTVHOGP6bJz0dPOuMxKu5027lD4VgeOcWgqEVgdyUkorgHsBzAOwG8BXUsqdQoi7hRB3A4AQorsQIg/AAwAeF0LkCSHSWntsimyqR6ywonlrxMzbmQ8gsJO+g8Hc+qzCKizaE309+9K0yGywfbgyCxtzSrAuq9jltU9WZztdyOfs0D5b6no7f1c+3l52MGKqE9Zb7fjXvL3GDYNV/xsxFw4t1udqcCFw/5AS+Nu32/DeitCnnRPFInXOM6+Fp9LHdzlU4txX0LyOl215pUZnXk5RtXHvorgL7txldXA1AgoEv6wjJ6X8VUo5REo5UEr5rP7cLCnlLP37fCllbyllmpSyvf595NW3pYCy2xuLfqzPLvaY8nCwUBuJi7RRkqaok7yUEsv2Rc/80Nb8NzlWBmspm13iunfW4Jq3V7u8dkgfmcordS6Uc0zvXHjyp53GPiLB4dIa/GdJpvE7txrpRc7BdEpCXAhaF7025pTgy/WH8N6KLOw4XMaAjijIzMVOjHRy/axXUl2PCg/TMN5aegBZx6tQXFXvdvHxS/+zEnscCpK9aloCwi4lyvX5b9F2X0Lhzy+BHFFrrNArFD7y3Xaj6MfvZq3Gqwv24YqZK7F07zFc/dYqLNXnoah1yY6URcmaWKZeumMVdbj5g3WhaUsAtDadxFuKjDtWmx1/eH+t8Tmx2qUxX0LZmFOCRbsLjLZVebjAJ+gFWiIlJSYhTvswqZuJeptzsZNMPQUwt5jVFv1prp4lYJdap8E/Z+8OcYuIYovd1FklTSN03gbDXpi7B+f8aykmzliEsf9ciCVuMmOsXjKAGqx249y62aFIFgfgKBgYyFHIfbYmFwDw5QZtFYtPV2cDAI5V1GJzbineXJKJDTkl+McvuwAApRGy8Lcnry/WyvB7ig0iJGbwmfnC2lxzdhxt1vbZRdVYsf84FusXY3fpLHd9ugG3f7yhyd+1GomLlP8T1c7GNRWd04sosOIsAnXmPFYiCjh1ilMdf+YCT76kkdfqRaLu+XwTpFTzpz2fO9VrjqdXVXE5Uq4ZFPkYyFHYeeJHLZ1t6V5tpG59dgkAoFY/EZeGsJphMLjLrY/Egi7FVfV49PvtxgWtPEillxtMN9LCTb/ocX3JCqteBGTRbvdzE4/qo77hPiJ3rKIW932x2WXdOBXAWRnIBYUQwKRBnUPdDKKYo4KqrOPOUy/WZ7vOjfbFz9uO4qSn5+Og2p+b67I6rXq6PkR6pzNFBgZy5LNA5X6rEZOkeOePY2qiNo8nPSUBgOMoQ3RyN3K0MUcLYkc/s6DZKYahtuZgEf67NrfVn5v7v9yKT9fk+Ly9CuTcrfezcFcBhjw+x3is0mVUJVRPwj2QyyyoxE9bjxiBm0oVNQK5CC8MFCkEBOfIEIWA+qszd2b9b/2hFuxL4li53onnJStDHcvXVGp3nYpErcVAjnyydLbYMvMAACAASURBVO+xgFWJlKbRAxW4CT2yaZynFJDDh0xTFaysNjuuemuV8VhK4KmfdgZ9seyWMl9QW+OJH3Y0uc2K/YUY/NivxvFUiWnH9et+3HrE6ffna8phpHz2VDvv1pdRUI+t9sj4zBARtUSOviatup8wZ2Y0h5Su69O6uwS46+BjPw4FGwM58sktH64PeCVFq9Hz5fxVnUKbu0xBuGsqIHOXDvfRqmwUlHsu8vLdpjyUhFkaZqBHsyrrrDhSWoNNOaVosEmX423NKzO+N68p52vLwnWUpc5qw+bcEpfeaFXZVT02l8umwJBSYtWBIgDa+eq5X1n0hPwjXM9B4ebztVr2xuuL9rd4H3VWO15bqL3//Fe1AmxvuNlfdZ1rloy35XbqbTb8tv84AOD7zXn4ZVvj9eiV+Xs9Ft0i8oaBHPksWBcSNZdKjZao+UzR5vk5zbvJMy4QEli0uwA2u8RL8/agss6Ka2atRm5RNR74aiu+3HAIl/7nNywP8RIG6uPieLFqjYzps3H3pxtxwhNz8f5vWfhwZRa+Wn8I93+5BRNnLEatVbuo/rTF9+P5GmSG64jcW0sP4IqZqxxGP50bGu4podHmSFkt6vQOms25JXhnOZchIP94ZcG+pjciI3Novp6R4S/u1ng95qZz+a5PtWyI+XolW0c/bD6CG99fi0PF1bj/y624/8stxmuvL87ENodORyJfMZAjn1mCvJplSZQXNVEVshRz/nzjujjOKYoSErd/vAHb8krx5pID2JRTgnXZxdiQ0zipe1teWdisRffcr3v8tq+5O/NR02DDM7/swtM/78L077Zh52Ht4ldRq31ePlqV7fP+vtvkfW6cEm694UfLajB/Z74xj9S8hpLCjMrQ+e+63FA3gaLIptySUDeBTNyl5lfoHdEr9JE3RyrL5owXlwBwveaX1Wid1hnTZzstYK58sjob2/JKXZ6n2MZAjnxm4aclpNQpX92sq8Bamp73dFMPaKmFKzNdLzCRyi4b1xNUy1gEgrue11Ca/u123PnpRo/Bv8K5caGjqu6+Mn9viFtC0SDYHanUtKmvr/D42mI3I3juKl86em3hfmNun1rrc9yzC7FR76T9+487jZRPIoW35uQzVlwKjPk73aeAOKZSOlLXc/XVnD7XmKMv8cu2IzhQWIkdh8uQX1aLP3+xGQ99vdV/jfcivMawWueif3u+YAfT+uxi/Lj5MHKKtDlw5ns7841CuKaExhK1biRRS1XWWY3iXxRFTP+ldimNQE79dx+rqDOWYAKci3cRAUB8qBtAFOu+0FOwHv9hu9PzKj5TgZp55M1TYO0Y19373824cEQ3zNtZgNF92/utzd7UNthwvLIu7NIRW+v937Jw0cju6Nk+JejHfn3hfmR0aYOX5u3BoeIaXHpST2TrVdoc/bLVP/MRyb9OfHIenrhkOK4Z2yfUTaEINPLJeRjWvV2om0EtdMaLi7VvfLgkesuoIXKHI3JEYWJTrnPue2MlQv2xfmb31DFrPu+bUzAdR2d2HC7DlkOBybV/deE+THphic+l/SPFM7/satb8u9bYcqgUUkr85X+bsfNIGV5ZuA//XrgPDVbnoN48GvvWMhbXCEcVddaA/b1RbKiuj6x1RKnRoeIat8/XW+1Oc9mldOi49RDJmefOEzGQI68yj1UaC2I+9v32JrYmf/hMX/w681glAO/ljB2ZT+zeLgRXzFyJy99c2bqGeqCWP8g+XhWQ/YfS7G1H/bavqjoriqvqsfNIGR7+eiuKKuuQMX02AODyN1dib0EFfthyBHO2a9XP4izCmPPWeLH3W3MowOKZE0UU09Q13dHNH6yD1SGd0m5k4jRuoypVO3rgq60Bu4ZTZGEgR15NfmUZftyqVfZTRSUosN5ccgAAjJP02oPaROdpponVxnwo5y+w6uWXVdXPcr2ao7uRvMOlNdh5xL8lj6M5uDhc6r5n1RffbsxDZZ0VL87dg+X7CnHXpxtx3stLMXdHPr7emIeSaudlNtT/o/p/i7NYGtNtTaOdUfwrjxqfrM4JdRMogrEfIPK5W8IAAAY9NgeANl0iS+8AlZC485MNxja3f7zB6T0r9h/nKD8BYCBHPiiv4SKVoXTTB+sANKZnqHXSjBQLUyT36kJtvaGf9PlSKzOLPO779o/WY9rrv/m7yY7NiUk2u8SuI+Ww2yUyps+G1WbHg19vxextRzBz6QG8sXg/souqnJbYMKfQxsdpd26O1erUSJxKW1W/49yi6Bv9jEavL9rfqoWKiSh62aV0GmVTa+E1Ve2SYhuLnVCTom2uU6R7WV8Y9jL9hH/bR1pP3V+/3eb1fSocyC+vNdK8/LlgdH5ZLWoabNiTXwEA2H3UdR2caHewsBKHS2tQUt2A+77YjF3/uBAAUKXPb1F/SgLC+LtSX9UInBGkmeY4CjiuJejsiR93BuCnIX9Tizrfd97gELeEIo274kYUXfY7pF46XpqPVzRma/BujMwYyJFbf/psI8b37wigcT0TimyOxVQCcTG4/t01OOgwL27hbvdpJNHAbpewOOQ6fbgyC6cP6oyHv9mGrYdK8cJVJwIA6vRF3+ut2lfjLW7SpFQAV6tv664DhZ0q0aGosg7b8spwzrCuLq8dLKxE26R4dE1LDkHLKNywqEVskk7fNz5S69NxNQpSmFpJbs3ZkY/vNmtz44JVqY+CRwUE+wq0HsBVB47jlg/XtWqfB6OwuIk7FbUNGPDor2iw2ZExfTa2HirF0z/vwgWvLkd1nZaGrM9dN9YEUr9vtRaUlNIYaYuP007DqpBJjT56V2d1Xk9ICNe1BWfM2ROoH5MC6I3Fmbj1o/WobbDhZj11elteKWx2iXNfXoabPliHfQUVeGe5Nl/2tYX7jIIIFFseZZGxmHTfF5uN7z9cme302m/7j6O2gVVMScNALgr5q9d+W55/i2BQ+Lr+3bVYurcQG3OKjcqJvjpQWIn8GCqE88h32o1VYUUdAOB7vcNjXP+ORr+pTQ/KVDBmk845kVI6zm3UUyvViJx+gTZSLh1SLdXagccr6/z9Y1EQqbTjg4VVRvnxS/+zEnN3aBVKq+qt+OC3LDz3qxaov7ZwP45X1uOqmaswa9mB0DSaQuK7TYdD3QQKMze+vxYVtY21CwrKa52u22e+uARrDmpz4+usNuzJj71pDrGEgVwUGvjor9irz1Miao7XF2Ua3+864tvJ/7yXl7V6NC+S/KIvQXC0TCs+M7xHGgBtvuGBwkr9e21bFYTZbK6dK3qsZwR5avSuzpRaqdIxbQ4pVqxWFtnWZmmVaN9YrBU+UcG7CtBLqhqQGK9dnlVqXZxFYGNuCRbsKjDvjqIY06mpKVtN14Pc4mr8tv84AOC9FVmY8toKd2+jKMFALkqZe+zrrXbUWb0PxT/xww7885dd2JbHm8RYVaEvVZBfVoupr6+AlFrVRcey+0f07zOmz8aX63MBwChwEkuuems1AGDZfn1BV9mY8rg+W7tRVyNz9SotzkuapLphU/PpVCGao6XaaOfe/ApU1rGCbDTZV6D93ajzdYKeZltZZzVG7Wr0IE99XliGPrb4syAVRZ+K2ga8vfygy/N5JVptgxrTQvI7DpcZnZAUHRjIhdj+As83wDX1Nhwr90/K2jVvr8aVM1d53ebTNTn4ZHUOLv0PF5mMVaogyoersgAAq/X0jJyiKmRMn40ftxzGxBmL8eMWLd3nb9/G7vyN3h1SAAC1+oWywWEOkxq123FYuxk396o7PlRz4IxATt+Pmhfx5YZD/m04hY0OqYkAgAab85ITALA+uwQA8PEqbf053s8TkdmJT83HxpwSl+er9etSgeke8uI3fsP/fb4pKG2j4GAgF2Lnv7ocmcfcB3OP/bAd455b5PX9FbUNePpn19LjamRF2XKoFDs9pMpJKY05TvWcUE8Alu3VRpny9LXr1KLkar7G//vfltA0LIzklWi/G3V/rapNOvrLl9rv6f3ftB7TPL0CrJQSBeXOo+ZH9JG3f+vrAC7czRS6aLdBvwFToy4WN6XoaupVAZ3GSK68tgHfb84LQgspVDKPVRrZD0TNpU4lX290PU84VrCurre6pGZSZGEg50cLdhXgxvfWOj2XV1KN/LJarD1Y5LGIxMrMxtdenLsH5768FLd9tB779YqC67KKUVJVj3qrHWsOFmHSC4tx16cbkHW8Ciszi/DhymxIKVFTb8N7K7Qbxrs/24RMhzVJlLNeWoJDpuUE5u0swGnPew8YKbaoVMnN+gleTZxWhRmokZrDVO8mkFN+0BdxX6r//mobGrd9c4lWvEJVp1uyl7/jWKM60uxu5kOpDoODhVpV2PIaK2ZvO4r7v9wavAZS0E1+ZRnu4cgJNUNxVeN6c+46hdx5f0WWsSYtRSauI+dHP289gt8ytQmmGdNn48f/Ox2XvbkS3dOSXdb8mDFnj5G29uRPjSNqM5dqN3Xqog1oaZFmeSU1mLezscf+0e934It1uU7bTH5lGf71u5Nw5Sm9jOdyiqpx4WvLsemJ87H9cBnu+XyTUX2PyEzl0o/omW4UaCBnKvBq8DKabZ73dqwidqp8UtNu0DsA//rtNpfX1DIwN76vbbO3oMJpGcJDxdXo1DYRqYm8nEebPUfLwVon5KtJLyzG2kfPA6AtIeWLY27u//7yv82YNLgLrh7T26/to8DgiFwrqWIQAPDTVq3X/aGvtZ7S/fqIWH55LY46lGf/av0hLNlzzGU4+/QZi1vcDnMQpzz09VZMfd25YlF1vQ1XzFyF381azSCOvFqqBykfrMwKcUvCnxo58UbNmTteWd/ElkSeqaIoAHDGi0vwzC+7Q9gaChR36dpEnlTX23DiU/PdvvbCXPdrjn66JsfluR+2HMHL8/f6tW0UOAzkWunrDVr+8QNfNs4Z+kbPSf5qvWuRgke+246/frsNe90UOTkcoHx4dxUFVUU0IiKKLA/qnYUqFVN1yKniWLUNNny14RA25ZbgiR924LUF+7Auq9hr1dMv1+e6FEag4Msvq8VH7DgjP5jm0In/1lLn9Sebut88GkNrw0Y65mJ4UVJVj1qrTU+NbExmKa2uR2piPKx2u5EKo9JfHK3Ldk1F8zRyRkRE1Bwfr84GoC1zUVVnxbjnFuGne0/Hy/P3Ydm+QmR0SkV2kTYn+rVF2pp1M28Yjakn9gCgpfh+8FsWJg7sjL99ux33Tx6C+84bhP8sycQdkwYgJTEuFD9WTON8dfIXc4E7q0P6v3lO96rM45g4qLPX/WVMn42Pbj0VZw/t6r9GUqv5JZATQkwB8G8AcQDek1LOML0u9NenAqgGcIuUMqxm8Vptduw8Uo5qvWDI+7ecilOeWQAAOGtIF5wxuDP6d26DWcsOGGWhiYiIQuXpn3cB0Ebg/rtW6yT8eFWOUZRIBXGO/vbtNvzt223omZ6Ce88dhFnLDmLWMq1I1twdR/HJ6mwUVdVjSLd2uHBEd1TXW5EYZ0Gt1Y44IZAQJxAfx2Qeokgz6LE5xvfn/GspsmdMMx7P25nvEsg12OxOadwAcMuH67HrHxciJSHOaYCDQqfVgZwQIg7AmwDOB5AHYL0Q4icp5S6HzS4CMFj/Nx7AW/rXkDhcWoPTZyzGJ7eNw00frMO/rz3ZpZy6Y4XJZfsKWa2PiIjCUnmtFc/+qs2T+2XbEa/bVtRq6ZV7ayvw5y82O7222yENf8/Rcgzp1g43f7AOqYlx2JNfgTaJcTh3WFc8cMFQdExNRHpqgtP7M49Vok/HFCTFx2Hp3mMY3jMNXdom4blfd+O2Sf3RIz0FdVYbkuL9M9InpQz4zaTNLhEXpFXYN+Wyk5iC5+1ljemWH6/OwdOXjXRaDuvfC/fjoQuHurxv+N/n4aYJ/fCPy0b6rS3StFBmMIJEm13CZpewCG3e+reb8nDThH5IjLfgmrfX4J6zB2J4jzR0S0tGYnz4dl4J8y+v2TsQYgKAp6SUF+qPHwEAKeXzDtu8DWCplPIL/fFeAGdLKY962/fYsWPlhg0bWtw2q82O2duPcs0rIiIiPzs1owNyiqoxNqMDJgzsjCd+2IE/ntEfvz+1Dya/shwXj+qBG8b3w3XvrsFNE/rh+vF9MeW1FXjt9ydjTL8OmLk0E1eN7o2k+DjYpERJVR2EEBjfvxO+XJ+LXh1Scf7wbpi5JBMjeqXj9IGdcMN7a3HZyT0xaVAXnPnSEnx466kQAJ74YQfm338W9h+rQGWtFWMyOkBKYPWBIhwprcH5w7shIc6C9JQEHK+sw7/m78X/mzwEHVITcPVbq5EQJ/DtnybiT59vwoJdBbj0pJ548epRGPbEXADAmkfOQ05RFR7+Zhtm3jAaI3ul44t1ueieloz+ndsg63gV1mYVY/pFw1BSVY/vNh/GLRMzUG+1Y8FubX9N+WZjnlEsjSjYFj94Fs59eZnTcz/dezpG9W6Pp3/eiQ9XZju9NrZfB1w/vi/eXnYQs/4wBv07t2nyGMfKa5tcH9mTbmlJeOaykbhgRHcA2hzh6gYbGqx22KXE3vwKVNZZ8d5vWeiWloyft3rv1GqJMwZ3xpSR3XHFKb3cVgpWMZUKRAsr6lBQXouBXdoiKd4CIVoepAohNkopx7o874dA7moAU6SUd+iP/wBgvJTyXodtfgEwQ0r5m/54EYC/SSm9Rmm9h4yUlz/1CTZkl2Bg1zYoKK9DbYMNFbVWpKckoGu7JLRJiscpfdvDIgTySqpxpLTWWAKAiCicCDQuIE4UbSwCRrn8OCFga+X9RbDEWwSEAKQErHa1OLv2syTFW2CXEg0255/F8Wf1VVK8BW2T4nHBiG6oa7CjpLoeHVITUWu1ITHOgt35FdhfUMElB4hiSJxFoG/HVCTECeQUVaPOakffjqnILa7GsO7t0D41AeMyOuLBKcO3SLvtFPP7/TFHzl1oaT4N+bKNtqEQdwK4EwDi0rrgl23aoF2+qZpWWU0DcvWFrZn2SESRgPdnFEih7ihwDEAiJYgDGoM3R+qpOg9LALQk2Kqz2lFnrccX61wrWhNRbLLZJbKOVzk9p+IbVXV+zcFixLXt6LbKjD8CuTwAfRwe9wZgHs/0ZRsAgJTyHQDvAMApo8fIZ28YjYW7C9ClXRIKK7QRufIabURuQJc2mDCwEyYM6ARAW9hw1YHjuP9LpiYQEVFsCXXo5DhKFW8RRoCkRrt8lZ4Sj7IabS7f0G7tjOV6Tuqdjq15ZYizCPTrmIqDx6uQkhCHmgabyz7ap2pZO/sKtPVce3dIQV5JjVMlz05tEjG8ZxpWHSiClBK3T+qPd1c0lv4/NaMDNuSUQABon5KIqnor6qx2pCbG4awhXdwuunzagE44UlqD3OJqdEhNQGpiHA6X1mLCgE7o3SEFaSkJOH94N+QUVWFQ17ZokxSPPUcrUFRVj8yCCny54RBH5ChiTRjQCVeO7oXKOivm7sjHziPlXpc9iXVj+nXA0O7t0DYpHvVWO/JKapBfXoPT+ndCXkkNBnVti9MGdMKYfh2Q+sJxt9PR/JFaGQ9gH4DzABwGsB7A9VLKnQ7bTANwL7SqleMBvC6lHNfUvls7Rw7QSqw+8NUWZB6rdLueGhERETlrkxiHqnrXAEnpkZ6Ma8b2QUF5LU7o0Q5j+nXEFTNX4rGpJ2DqqB4Y9+wi3DoxA9eO64sLX1uO+ycPxrXj+uLqt1Zh5g1jMLJXGv63/hCmntgDNrtEh9QEZB2vgkUIZHRugxX7C9G5bRJO6JGGxXsKkNGpDfp3boMX5+3FWUO6YFj3drjto/X45+UnwmIB3lpyAK/8/mSUVtfDJiW6tks22rr1UCmGdm+H5AStyIqUEv9dl4vLTu6FNolxeOyHHUiKs+DvlwzHzKUH8M3GPNx4Wj/cdnoGpr3+G5ISLPjij6ehsKIOL8zdg6cuHYHObZOwMacE7VMTMLBLW2Qeq8D2w2W44pTeaLDZsTm3FOP6dwSgzeWx+FAw5esNh/DwN9ta+T9H1DKZz17kVNkSADY9cT46tknEsn2FuPmDdU6vvXj1KIzu2x6bcktx0cjuaJfsXPzIk8KKOpz67EKf29UuOR5Xj+mNBy8YijaJnqtlVtVZkRRvwf5jlZAS2HW0HIO7tsWsZQfQLS0Zu46Uu10WzBepiXG49fQMjOyZjuE909CnQ6pPf9OA++qfLRGwOXL6zqcCeA3a8gMfSCmfFULcDQBSyln68gP/ATAF2vIDtzY1Pw7wTyDnjs0u8eHKLFw8qifeWX4Qf5jQD28s3o/vNh3GgM5tcNA0xElERBSuTunTHpsPlQIAurRNRGFlvU/vO6lPe2zV32f2+LQTcMvEDNz7383o2DYRv2w9glP6dsCZQ7rgxtP6uq086Vjh8XBpDTq3TURSfBwW7irAxEGd3BYHoEZ5JdWY9MKSUDeDYsSHt56KWz9cbzzOnjENdVYbhj6uFfj55LZxOHNIF+N1x2ruz1w2An+YkBG0tgbD/oIKDO7WDgDw1fpDuHBEd5fKvKEU0EAuUAIVyLkjpUR5jRWlNfVYvq8Qf5iQgZFPzkNlnRWPTT0BEwZ2QnpKAn7dfhTPz9mDk/u0xxYPF0AiIqJgmTiwE+49dxCuf3ctbp/UH+//luVx2yHd2uLkPu3RNjkep/XvhDs/3Wi8dvbQLujUJhHfbjqMT28fhzMGd/G4HwoMx5tlokDKnjHN+Lzdd+4gPHCBttSAei7z2Yuc1oxUzzuuP0fB4ymQY/eYTgiB9NQEpKcm4A8TtBKq2568AACchk/vOmsg7jprIAAt+Ov/yK/BbywREcW8r+6agGveXo3khDiM7tsBcULg1tMz0D4lAS8v2Ifx/TtibVZjKtGQbm3x0tUn4aQ+7QFoqUhvXj8ap/bvgHHPLsLpAzvjj2cOwCUn9cTpAzt7OiwRRSDHwG35w+c4vXaJm+Ux4k3pgJNP6Ir7zx8SuAZSizCQ86Kp/FchBD685VTc+tF6fHDLWNz2kfPo4QXDu2H+rgKn5966YTT+9Pkmv7eViIhiQ1K8BXVWO07N6AAAsAiB5IQ4HHh+KgDg/84ZhHOGdUV6SgI25pTogV57dG6b5HRda5MUj2mjegAAvrtnIob3SAMAnD3UbXE0CoI9z0zBvoIKXPqflaFuCkW4v04Zihfn7nX7Wkqic2q0Sin05r2bT/VLu8i/wnep8ghx9tAueOD8ITh3WDfjuQ9v1T7sF53Y3WX7i07sgXWPnoehbv5o/nzuoIC08T43+33mshEBORYREQXWs1ecCEDrTEyIExjZK83pdYtFYGSvdPTpmIrLT+mFKSO7o2tastfOydF9OxjFQCh0khPiMKp3+1A3g6LAPWc33vvNunG002td2iV5fe+InmleX6fwwUCulYQQuO+8wQCAK0f3AgCcM7QrTunbHmP6dkSfjikY068DBnVta7yna1oy7jxzAO6Y1N9pXw/q+ckt8fp1LmsE4qTe6Vjy0NlG3rNy04R+uPG0flj36Hl4+tIROH1QpxYfl6Kb+kzfddaAELck/PXpkNLkNuqGu3+n1EA3hyLQVDedf+402BrXNtvx9IW479zBgWoShVCH1AS3i/ASufOXyYON+Wt9OzpfY6aM7OH2PfecPdDluRevGoVnLh/p/wZSQDC10o/+eMYAY6Tt+3tOBwDM+8uZsAiBilornv91t7HtVWN6AwDe+y0L7900Fnd8oqVl/veO8ThSVovkBAu+XH8IK/Yfx5pHzkP3dK2Ucn5ZLd5bcRDj+nfE+cO7YdWBItzw3lpcelJPXDKqB7YfLjNSMt69aSy6pjWWYAa0P9q7zhwIIQS6piXj5okZGNa9HVZmFgX2l0MRqV2SdopYn9Wykr2x4JyhXbBkb6HLfAJHKhUu3qJt0yaZp15q9MufJ+HiN37D2UO74tftzmuT3XZ6f3ywMgvLHj4bZ720FCf1TkeKw8iZu+qRFPk6pCbgtAGdMG9nfrPW4KPYdccZjR2uvo6o9UhPdnnumlP7uNmSwhVH5PzohB5pRiEUJTUxHskJcejSLgmv/P5kt+8b2r2d0YsycVBnXD2mNy4e1ROjeqcjOcFiBHEA0D09GY9fPBwXjOgOIQROG9AJn90+HoA2OqhSMj6/Y7xLEAcAf50yzKWc6vgBnViFiJyM6p0OABiToa2D9Lux2oldjdAR0LFNIgBtfhIAr2lpaoK4mlCeEGdBVz215f/O0c4Z79+sFaN6dOqwwDSYwlaqPl/F4mZ9pLZ60K/WIUqMt2DaqB74+d5JwWsgBd2Kv52Ll685KdTNoAjSNqmxg9DuY/R//fh+2PTE+YFqEgUBA7kQ2/vPKejT0X2a1UMXDMWup6d4fX+cRWDS4Kari117ah+fbsIT4rQ5FxTbrjxF+6wM6KxVcM3opH39vR7QffuniaFpWBhR043UvXdyvOvp9L9/1DpZzh2mFY9I02/K44SA+Z5djeiN76+lOj9yEQO6aDesu5bBodZes9tdb75Uj3mcw/y2hDgLTtQ7Wyg6tU2K57p71GIqjjNP4QG0QnxKnEUYnZIUmRjIhZi3tBghhM8rxzdlxlWj8Mo17kcElZeuHoWXrj4Jq6af55djUuQ5Q+8UuGK0lvo7omcaJp/QDcN7pCF7xjRj9HZMvw4Y178jPrltXCibG1Il1Q0AGieNO95oq3kHXU2vqYurYxCnnovTn0zUA8KRvbQb9fsns9xztFIjcerz0WBvnPt2sV5N8nd6Gr76zDDNLrYIzpIjLw4+NxVnD3Vd77FTWy04M2eKbHh8Ml671vu9IEUWBnJRKDHOggx9JKU5fje2Dy4/pVeT1YwoeqnUjPSUBOz6x4UQQuC9m8e6pOMC2hpWZw7pguQEC84aEnsLB8/9f2cA0Kr9AdqNdp+OWsGTbnpas5oTl2iaPydlYxqd+qpu5lUgZ4zS6Hfuw7q3QzvOrYsqQ7tr81h6pGufGzUg17VdEtrrf3Pqc6BuECa7xQAAIABJREFU6BnHxRbBuzTywmIR+NNZrgVLOrXR7uN6mYpwdW6bxJHeKMNTRBTa9+xF6NW+6Qp6RGaPTj3B+N7Xk/26xyZj1o1jAtWksKPmsKWlaDfam3JLAGg34WqEXQ3OJehBmbuR9cZATt9WT2lOUu8x5V5ahDDu4s93SI2hyHOpPlfyzjO14gQqWOunp9k79qIL/XNgs0v83zkDcbebmzaKXnFu5k1SbDN/JE7omYbJJzSu/XjLxAyjoN61p/bB9qcuCGbzKMgYyJFHozgHI+qpqpSrHzkXs24cgz4dU5td+CYtOcFlcdFodvPEDABAl7ZJSIgTRiGTjTklxg25mu+mRuLiLa5Bmac5cuomPj7OecROCMCuR3Iqve6EHlzrJxJl6MtP9OuYaiwds/XvF+DMIV2QmhiHQV3b4uELhuH7e7S5qN/cPQHd0pLw8IXDGMTHmCcuHh7qJlCYWfvoeejctnFeW1pygtNi3U9dOgL99awsIQTaJbtm1FD0YCBHbj15yXD89UJt5OGhCzhHJ9qowKJHey0FsEd6CqaM9G0NK08mDuyE9inRf8FIio9D9oxpsFgE9j87FV3bJeOXP0/C9qcuQE+9MIWK21QgZ8yRU0NqQhthAQCr/lX1vKt5U+7SMc3zZS47uaeffzoKhnvOGYSlD50Ni0UYo3MqfXnto+dh5g2jkZ6agFP0tN2xGR2NkTmKLTee1i/UTaAQcFwb+Ba98xDQ5mR3bZfM8wEZGMiRW7ee3t+ohsl86vA0rr+2NICvC7qP7tve5Tl/Fk54/+ZTseJv5xgVGh0vPtFuZK90tEtOwGu/PwVLHzrbmPOUlKCdYlW6pLGOs2xMj1Ff443USucROekwK0oF4LyGR7bkhDiP85jbJSd4XcqCiKKf4yleXUcA4MRezJQiZwzkqEnxXI4grLx3k7be2OPTtPlst+vlhV+46kSv71PhQPe0ZCMQ6O5mMdCWSkmMQ7vkBHTSSxnHYmGO9NQEZHRugzOHdMGOpy9EUry2XlwbvTOkTZJ2g56cGOdS7EQFaeYKl8ZXNM61M/9FvnXD6AD9RORPH956Kj689dSmNyQyUem4FL2GdGtrfO/YWdc+pTGNUj3N6rWkMJCjJnla544CK1nvhVvy0NkAGsuQD+nWzmk7lW6nUi0e1OdsXTeuLwDXwhiOF4hZN47Bxscn+7XdxkiTX/caedomxUMIgXWPTYbFIjD7vkm4eFRPvH3jaPz94hNwxuDOGN23vdslCYDG1EtVtVJKaWwTZ5pzl5oUe0FzpOnVPgXnDO2Kc4Z2bXpjIooZ4/XsGgDG9VhA4JnLRgBwzspoxEiONAzkyKs9z0wxbjyuGds7xK2JDbNu1EZXFj5wFgCgpz6P7e+XOE96N+ZL6V+MER6Lc/XDeDcjPJ3bJqFdcjzaJMWjU9vALDcRHxd9pxe1zl5LjOiZjjiLwIUje2BQ13Z47ooT8e2fJuLW0zMw68bR6J6egoFdGtPt1FIQCXEqLVPCAudROxXOxXrQHAlUyjFRS7hZK54ijOpcNfvyrgnG947XzT9MyACgXesXP6jdD6jOvD+eMQC3xtD0BfKM3bjkleNcjYtG9sBXG/JC2JrYcFIfbS5b+1QtncJchl71zpl76ZpzM//TvZMgA5SbodbG6heFqUCn9HGdZ9hSagS1U9skTBmpLf686MGzAQDbnroAackJePaKkTh3WFe8smAfbFK6VLI0fzYofFl5J04U09xNN1g1/Vynxxbh/BXQgrcBXbS0S3XZvovLkJAu+rrMKXB4zxhQ14937q0zj7aoG39f4y91j5+iB+Pd0pKM57u0S0LXNP/Nj3N02+kZyHz2ooDsO5S+u2ci/nT2oKAcK00vF33D+H7okZ6CL/54Gt66YYzL/5m5YMo/Lx8ZlPZR80wb1QOXjOoR6mZQBFMLxFPkuXmCVnnUfAuVFG9BT9Oav+bMGjP23ZEZAzmiEFPrBN043rnMtDClTArT8540bi+w8IGz8OSlI7Dh8cl49fcnAwAS4wP7Zy+EQHycJerKI4/u2yFk6+VNGNgJQ7u3w79/fzJm3zcJqw4Uud3uFFNl0ij7L4hYb14/GhMHtTwtl2Jb9oxpRoYGRZ6nL9M72EznY3OfrEUIl/nPZixyQmZMrSSf2ZkaFBADurgvQ95YxMT9+9QJ3VN6nRDAoK5tnZ5b+MBZxjpl5Lv1j/m3IExLqZL15w/vhi/W5bpUtjSvM2cRAjZe+UPqw1tYpZJaL1Cp8NRyo3qnY1temdvX+nZMRW5xtdNz5vOzOZJLT0kw5kSr/+8bxvfF1JGNo/lNBXoUezgiRz5jHBdc5vhM/frVxSDRVMzE0/scDera1iWVI1ACeblR8+/aJcVjWHetiuedZw4I2PHC7dr5xMUnYNGDZ7nOkzS1M45DciGj0qnOYZET8gM7A7mwM+PKUR5fG+ihg9aR+fx977mDEGcROKl3Ok7srWVXPHvFieirX+9++fMkPH+l92WGKPYwkCOfBbtHsGOb6E4lMa8L5L7EcOPcOMdb8uUPn4MTeqThf3eehgkDOuHJS4Zjsr7MQEpCHO47bzCuG9cnIO32lYohPr19nN/2+fi0E3D+8G54bOoJ+O6eifjiztMwrn9HtEmMQ4JeCGRGMy50V47u5dN24ZYmmpoYj4Fd2hq9t+Y0XCXMmh1TzhzSJdRNoChy1WhWjQ6l5ATX22V351dV2dhdhUo1z3HfP7U55ObzdaJ+Pv/x3kno5abDdWSv9IBVmabIxUCOfNYmSGtVpemVndRJrnPb6Azo7jzTe9Up80XCsbCF6qE7bUAnWCwCt57eH+kpCZj7lzNw/fi+eOD8IRjUtR3CwcAubZveyAfZM6bhjjMG4N2bxuKCEd0xum8HjOyVjqcuGYHNf78ASfFayujQ7r7/3L5WfQzXka1bJmqFZRqrWDq/bh6tpcDq3SEFw3toVVsnDuyM1687JcQtomhxJQM5n4zL0NZk+3/nDfbL/tTUh+vH9XN5zV1l5nv0glgjeqW7vHbRyO747W/nIDHegvn3n4lf/98Zxmtf3TUBp2Z0dHkPUVMYyJFPVvz1HEwY0Cmgx1DrnhkjUMY9qPZN13ax1RMVb3H+8xQQ+PyO8ejdwXNq5LDuacYoTbgIdIl8i0UgMd6CC0d0x9QTu7uMnp3Uu/GCeotp3R1fWybC61dqMArLODwGGtcsU797VbGUAq+r/rtOSYzDpSf1DHFriGLL8J5aR8pFJ3Zv8T6SEyx4fNoJAIBZN44BAFx2suvfsrv5akaHq4d99+6gBX9DurVz6uQc17+jx0qVRN6E6e0JhZs+HVODlqZVVtMAAKistQIAjlfWAYi9NbPiLAKbnzjfeBwfJ3D6oM5hl+bniQpE/XFt+une05vcZmj3dph5wxjjePdPHgLAeW7n1WN6Y6rDBV6ty9aUyPiNN/6un750hPZYf8LcKUCBIWXkfFaIookaHfOUZt5cjQWk9MdutlHHGOaQBcK/fwo2Xt3JZ4EOIOqsdqfHaSnOqZzRXq3J3RTEDvo8wewZ08JupK0p553QFR/eemqrPzevXHMSRvX2fSFuVQTGXYrlyF7pmHnDGOOx+p0+dMEQr/sM98/eKX074LkrTmwMni3OqZa+BqzUOhIyYjpaiKKJ+quLN537/jplaAv2JTBCH9lTS864uwSoQO53Yxvno3urJOBStZLIDyLrzpBiwn/vGA8AOEsvFnDhCK2IR4c22kThPh2DU3UxUIZ0M80ZM535o+VknxBnwTlDuxo9pGruY3OlJjbvfWoB9LZe5nSqimLqQty/s/t5fD3Tk522C1cpiXG4fnxfqIE3NacvzuK+sikFht0OLN5zLNTNIIo5qvNqcDfVgaenlbdLbva+khIsmDioM7JnTDNSId1dl9Vp1dPZtX0KF3GnwGMgRyGnctGfuUxLB1ML5/Zsn4L7Jw/BgxcMxcMXDsUb140GACREeJrYlBHec/cTomz0xFigvIXBkArkfdW3YyrevH40Th+kzel0Vw30iz+ehiUPnW08bqpiaKRRNxjGiJz+N6PmmaoAlfzLJiVG9/V99JiI/EOdqc2Fn9TtQhsf1k8d178j0lMS8PO9k1xec3eNUNcHx4yHDvrC7e4uHZ6uM0St0aoyhEKIjgC+BJABIBvANVLKEjfbfQDgYgDHpJQjW3NMij6qx+sPEzJw9RgtRWH1I+eiU5skI01uSLfGNDmV5tYzPRlHymqD3Fr/MU70phN+p7ZJWDX93KC3J1BaEwpNPqFrs4MpIQSmjXJYQFUIdGmXhOo6q/Fc1zQtkFGfpaaWugj3ETnFpk8IVL8zlTqqeqvTUhJwrKIO8RGWphvubpmYgY9WZSPBIvDuTWNxqKQm1E0iiilGh6HLY+2rtxDq2z9NxJBubZGaGA8ppdvzY1qy59G1OIvA6L7tsSm31EjpFxAM2ygoWns1nw5gkZRyMIBF+mN3PgIwpZXHohig8tF7pKcYQZzZyX20Hu+oqfCkn+0d58gFa9HuYGhNDPTezae2+vhxFoFf/jwJCx44y+W1UzM6IjUxDp1Na/OokauPb9OOHympiX07puKLP55m9Ear0V1zn0Ftgw1AY6VYap1e7VPw0tWj8OLVJ6FT2yTjHEVEwdGY+eH+cd+OqWjnId1+TL8OaJecgDiLcBvEbXvqAmR0blzg+8lLhrs9NlEotPYqfhmAj/XvPwZwubuNpJTLARS38lgUZSbpKZSDuvq+zlj/zm1w+SnaIs6RVvzDzHzqH94zDW9E4bpTqkc0FJe6zm2T8MzlI9EtLdltcDxlZHfs+scUo23PXq4lDKjr8qCu7fDZ7eMjptNACIEJAzsZI3Kq3WrkUfUVqBHIcC/iEimE0AoeTNIXAyai4PIUwKnHfTs2rvmmKhc7Lk3jjeNoXEanVCQnOKdpWoT3ET/FXUEzotZq7QrP3aSURwFASnlUCNHVD22iGPHJbeMAaDeb2TOm+fQex3lNI3ulI+t4FXq1T8Hh0shNZVJ583EWgUuicN0ptQZbczstDz43tdXH3vD45GZtf8Np/fDYDzucnovEm3MVoN0+qT8e+36H8VjFbUO6tcOe/IpQNS+qTB3ZHacFeI1NIvKNXY+WVLErdd1xjKEG6MWtfnQzF64pEq4BmYDwKUjjyB0FQpOBnBBiIQB31Rke839zACHEnQDuBIC+ffsG4hDUSs9cNgJP/Liz1ftp7ShHP72HLdJHFcxpfdFG/e9Y7b53R6anJAR1FMx8fY30C66q3HnFKb3w2Pc7XEpn2/S7jrgI/zlDrWObRMy8cUzTGxJRUHRLa7rS8KUn90RRVX2z9/3xbePQMTUR2w6Xurxmvrq5OzxPtxQITQZyUkqPXdpCiAIhRA99NK4HgFbXXZZSvgPgHQAYO3YsB6LD0Oh+HULdBLx301iMzeiA/yzJxIAubZBbXB3qJjXbRSf2QIPNjlG922PPM9E7hVSl+dmbEcgF+4KXFO+cKnPLxAzU6PPIIlFivAVf3nmaS8VQ9V+wJVe7EYmUlNFwtdDNvEuiQOrUJrFFQUisGNe/o/aNl1PbkG7t8PyVJzZ732pJpO3/v707j7OrrPM8/v1V1a09VZVKVSVVSSqVpbIvlYVASMhWCSSpYBiBNoliXJBGFETBFoONKC6x21eP0nSPQw/azHS39rymR2Qc0KYZHKfHlmVsEBAVXnRmRGOr0GKjsuaZP+45t6pO3bXucs659/N+vULd5dxznoRb55zf8/ye3/Pj5ye/YcqZN9nT3qRZ7dmLagHTUewkozslHfMeH5P0lSL3hxgodp2z/hKUPt+zcra6vDK/a+cm89zjtr5cZ0tCl2wZkqQpOffVxP+23PLGDXlt/7atC3XZ9kXla1Aa87tb9dUrx9NsVg506Oo92RcJj7ozF81KBXL+ekYXbpinC0YG9O8vSY4i0UNcnNY8SpoDiIZSjQycvXiWtntBnb/jKSNygecPfWhPwWuiAvkoNpA7IWmvmT0paa/3XGY2YGZ3+RuZ2Rcl/YOkZWb2jJm9vcjjIkTF3vzde80OPXD9aGkaI2men2IZ8bvSg15J/JHBrimpbtXM/9+ya1l+U2hvOH+lrti5pIwtSm+11yHwp2/cUDVznvzv2ScvTPY+H908qM8cXp/6u9bQ17As4p6Ci/jxl04pB3/NzumMVoVtz4rJ642m+9VcP9il5XNmTH2jQEM9bak5/pI0p7OZQiYITVGBnHPuWefcqHNu2Pv5nPf6T5xzByZsd8Q51++cSzjn5jnnbiu24QjP6SLPWK2NDeqbUZqL0RMf3aeLN86TJC3qzb/6ZZh2L5+tpz+ZX3GXahBMW4y6A2v6Y18R1ZdaJ6+1USdPjKmzNfNaSChcLXXIIBou31G6bIW3nD006fmhkWRF6PYMZfqjbNfyZEdhtl/JL7zlDP23KwsvcJLNDz+2X9uX9qp3RmCuO+cGVEh13K2gYjpbEtMOwt63t/Spai2N9TIz/fBj+3VopPoqPlaD+gKqkqK0zEx3vGtrxgXAC11sHZPx74c4O7AmmSXyhxetlTRhvckq+FoH/wozWxNqqK8reSedv97tzUfW6x8+uLuk+wbyQSCHgjzy4XM1o3l6vXXlrC7Z2FCnBbPasm5zpj8JGqgh2RanroL7tVDFvWIu4scvnV+MNV5qtf/17e9Mzi8Prr1Wav70At+uZcl5ZsF7Cn+NWV9PEUVCnJP+1+/t0kdet3ra+8hHe1ND6t8xeeBkCmZnC1kQKC8COVRMuXv5/BvWvkCKg5/3vzMwR6s5kfz6V+pES+89osavftdG0Q4g8k6eGNOaPBexzubG162UpNTo1PilySb8V/pciZfWmOEtrH2RNx3CX3onU2fT6rkdqXYl6tNfP4PL96S7zs7vblVLhc9xrzmnv7z0TH3z/bsqelzUHgI5FGy68cjqgU594a1nlLYxaQRn8K2d16WTJ8Z09MzkuoR/cGEyjeTFV05LUsYLBAAAUff1q7frsY+cl/f2i7355ANdk0fi2prqJz33/fGR9Xnt9/IdiyUlqzpO5Fd4zHTv4M8v27cq3ZLF6Y15o3uXbV+Y9v0wO05vObpeczqa1d7UwLxklB2BHAo23eUHGuos78qFxXCBYiwrB5K9ep0tCZ08MaZNQ8l18DZ66+FRea6ySrH8BIo3urwv1TOeaQ4dMlswqzXsJgCSkte29qYGnbtydtbt/HNvMAvFv6YHC1P5qZf5XiJbvGV0NgbWml3UM3naQ3B3/vHr6/11Lye/PvH4uTJoonA1P7h2gAwcVAxXbxRsuuen4dnFl/3NR7B0fDB4bPMqcjV6N6/VUqEwLl4rYGFwlM9tbzkjdWPHVK/CtVTx2o+Ip88ezj5ydv3YCklTR6v8p01e4Q6/czO43fnrshcUGw/AkvwRukz3DMHX8zkNzclz+QV/X1xtUO24g0XBpnPP9/ANe6eW5y2TDYPJ3sDNC7unTK6WpNkdzfqrd5ypm710kUqlVg50MRIlcWGNEtY+mr4LN8wLuwnAJNOdB9YQ6MkJ7scfGRtdnj6jxl/GILUbmzqSlk0qAMwQYE581flXkAznLgbCUGsI5FCw6aQMdLVOv+pUIR758Lmpi8rI/C7dcnRD2u3OXtyj3hlNunTbQl16TvHr8hzZPJj29Uu3jefvX7N3mR6+YW/Rx4q7YOrrRKRdVtbLryXniRLPFeac4R69Y3vp1vMCKmHdvMlFRfxLuZ+u6D+vz3GN90vuH1iTnNM2NzXXLv3nLFBEpRLSBYFANSKQQ8EKPTHedGhVWdqRTmdLQnUF5Il96OBKvemsBZKkFf0dObYe5/fG/9s3rJMkvXfPsCTp2x8clST9eZqiLo0NdRULaKMs08LtjQ11qVQcVAbzRIH4czm6YubNbNHOZb2ak6GjzP/19/vYMgZk3ssfvyBZyj84jWHK9oHPTX0///NOvtkDwbYvm1OZKR1AWAjkULBC7/niErzcfHgk721bvdST1sbkfDv/4uHPm/GvOWbSsgrNDYyLK3cvSfv6Dz+2X8e80VRUxnlelbjBbgp3FIKUVETJxIDoxOvXaLkXvFzidVLuXz1Hf/7WzWmKjGTYX3DuWiDQy/n53E3OqpCsn/E2Tf2lPHliTEu5/qLKEcih7IL595Vw5e4l+p1Nhc1hmeWtR3PDwZUZt1nSl340aXxuwNT3GOyYzL/peOdORt+i4KmP79fuDHNfkN6qgfxH74FKOrx5UN1tyc5T/9pz/VjymtZQX6cHrh8t+hgZ57JlqHI5JYDMOEKX/nk+19CpQSYXXtQGAjkUrNA5coWkOpbKNecu05K+/HviTp4YU3dbow6u7dfBdckCKelGjjL3YBY2ubuWBXt3F/W2pVJSUXkN9XXc8hToA/uWh90E1Lj3jA7rex/NvnZcut/rvhnj6ZWZAjJf8NI95frmvZArNTvfAewp23FBBXIikAMmuOXohtSFzr+ELOpNroHT7i1bIGW+4KW77Mxqj0dqaaW4VNGx5INEXV3GuRuojKYEl4JChNE5BUzklEztH+hsVldg0Wn/HFtfl9/vdaaUyZzfc++DwXXfUvvJEQjmOzInjQd5+c+Vy287IO4acm8CFCe251PvSjC3q0VP//zXWSeUZ0rjcE76d2/aqF+/9GpZmhhHwfLRXHDD9+YtQ/rEXd8PuxkA8uRX//1WmmwG/xz7upEBPffrlwrYp//5pOnOgZsS0OV5/EIuBbkKvAC1gkAOZdXf2ayzFmevbBVVC3uSBSBOT7i6ZexB9Do+U6kqEy6IHc0JdTQn0n6u1szpaE7NMxwvCEMkF7ZmFrcGYiXbyNShkblqSdRrZH6XPpNlkfDmPEfic04pmPJ6XrstqeAx6xk1R40gkENZXb1nOJZBzJMf36+GOtN7//qRSb2UwfVwgj+DRU8qtQh6XHz7+Hjv8enTyX/YbOvKAQCmyjYidWTzYMa1TX0nT4xlfG+8yEj2YCi4kHem6pY5P5+jHRMFd52uQzDb3w2oNgRyQBqJ+vGeynwWFh3vmRwfkXvg+GiqehgQdXtXzla9mb72+E/Dbkpk9Hc269TzL4bdDKCsXOBnJrmKehVSZTL7cQr/zMr+Dl23nyJEqD3McAdyaGoYTzsL9oLWpap2JZ/bhBG5vo5mNdTzK5aJk3TV6LCuGh0OuymQ9Gdv3qR187vCbgaAPJSyvH6+aYjBzYLVKnPNrculkAAuOOrXnKjX5TtY0ga1h7tMTNtdV52Tc5u4r+Xyt+/drj+8aG3qeSq1MtAzGfx75irHjOSF+H17l+rAmv6wmwKkFfwtzrSOJFBppaqc+tUrt2lxb37f6/HrX/r3XZ4FrLIVBwNQGFIrMW3BksdpxTyeWTp7fC06p3TLDky+sPnPe9uZG5cLVceih/6H9JoTdXrxldOkSiMS/urSM7VqbmdJ9rU6y35yzZULvprpnD4+UpffnDsA+WNEDmU1f2Zr2E0ombSjbGnWxfn+Tfu0cqCjMo0CSoge8fQGu5Pnsd3L+/TAcRavR7jOXtKjzpbKFRGbsv5b4MLnnNPI/C5tXdxTmuNlOO5E+Y4iAtWOQA7Tlk/v2ZaYLj0QdMvR9frs4ZE0KZWa9LzOjFLueZo49xDR4Peo33TB6pBbEg3BkQhTcu4rUEtyTRVwku5419bUHNtMI3jL+2ekfX06x796z7Ae+8h5cU/6AYpGaiWmraWGApaDawckSV968Ed64tSvUj2S/gBGoi7ZJ8JFJT93v+ccLZhVPaO11YIRucn8pTHiPtcXyEfq+56mAyP5eqbPjT9uqDOtnTc1XfPpTxyQmXT9lx/LWfUyn9cb6uvUXl+nc1fN0ZM/eyHDJ4HqRyCHaTl5Ykwvvfpa1m0+NLaiQq2pnJsPr9dLr76m7z7zvB76v89poLNFUnLiOWvX5G9FP6mnUXTWom4NzWolbPH4N7TM50QtGQ/oNOmnb+LzN2yarz0rZqeeP/WJA2n2l6k4S/biKePHG+9KCa47urCnTZ++eF32HQBVjNRKTFst9lK3NNarq7VR25f26s53b9OyOTMI4FA1Ni7o1jfev6umwpbb37Y5721r6d8FtWVsTX+qKmu+33Mz6VMXrdVggdkVbU3+GEL6Ee/ZadKXL9wwT/9m/dyCjgPUAkbkUDYdFZyMDQCF+NybNujyv/hOqod/UU+bnv7FrydtE1xeZOOCmRVtI1Apf/LGDanHpUyxPnNht0ZX9KWe/49rdqi/s0W3/f0/pd3+/uOj6mxJ6EsP/kiSdPzAcvV3tuj8dcnpDb/3Xx7RS6+eLl0DgZgjkMO05V4rBgCiaeOCbknJm9Yti2bp2vOWqr0pofM+883UNsHUsjOGuivdTKDigumL010WoK2pQX/9u1smvbZoUrXJ5I7rJuSGBUfjLts+eZHvT124lrm8wASkVqJsMlWuAoCw7Fjam3p8cG2/1s3v0hcvO0sbF3Rr2ZwZ+sa1O1Pv12L6OGpbV2tCC3vbJI1//1MLfRewn/uu3alLty3K+P4H9i3XW7cOSZLmFbBMkZmVbDF0oBoUFciZWbeZ3WNmT3o/p+SdmNl8M7vPzJ4ws8fN7D3FHBPRketUyqkWQNTcdmyTpGQBk1uObpiyyPdQT5vueNdWSRL3i6g1D99wrvq9Il7Z3HBwpfat6s/4/sKeNjU2ZL7FfOfOxVo6e4YevfFcXb5j8ZT3P3t4RDeevyq/RgM1rNgRuesk3eucG5Z0r/c86FVJ1zjnVkg6S9K7zGxlkcdFhH33xnMlJXv2ACBK/EyB01mm2YzM79JdV52jei+Sm9namHljoMaYmd62baE6S3CNn9GcSP2eTcziOTQyN7UuHYDMig3kDkm63Xt8u6QLghs45045577jPf5XSU9IovRQFciUOmmSHjg+qt3L+9K+DyDivFyqfavmhNyQ0vPPWqdzTLRZOTC+RMZVo8MPE77pAAAM+ElEQVT65vt3lbFVQG3bs6JPB9dmHuEDkF6xgdxs59wpKRmwScp6525mQ5LWS7q/yOMiwsxMfR3NzJEDYsoPcXYs6826XRyZSZ98/Zq0Jc6DrhodlpRMEyu0xDoQd5W8hP+HY2dodMJ6dADyk7NqpZn9naR03bLXF3IgM2uX9DeSrnbO/SrLdpdJukySBgcHCzkEKowwDUDcmJmObM7v2nJoZK4OjZBAAkgTl+MAEBU5Aznn3J5M75nZP5tZv3PulJn1S/pZhu0SSgZxf+mc+685jnerpFsladOmTRSZjSFO8kC8+b/D1VTme7C7Vf/vud+E3QwgdoLngeHZ7ek3BFBxxaZW3inpmPf4mKSvBDewZH7dbZKecM79UZHHQ4RkSrsgoxKIt4s3zdd/evvmsJtRUn/zzrPDbgIQa2amkyfGtHxOR+6NAVREsYHcCUl7zexJSXu95zKzATO7y9tmq6RLJO02s4e9PweKPC4igDlwQHVqTtTrnOHKzY8b6EzOV0vUl++cUs59A9XI/40xk3Yt69X6QapIAlGTM7UyG+fcs5JG07z+E0kHvMd/L7LtakodAR6APPS0N+kXL7yUKq7S3tSgf/nNK2U5VldrI6NyQCG8S7lz0hfeWl0j9EC1KHZEDpiCOA5APjqai+pLLNjGBTMrejwgzjqaWQsWiDoCOZRcQx1fK6AalKtTZkW/N8cmsH+/qAJpkEC4/vH392r13M6wmwEgB+64UbQvXzGernTyxJjq67gJA5CZy1EOk/m3QLhmtjWG3QQAeSCQQ9GGZrVJkt6+bWHILQFQDscPLC/PjgPxXLr4rZsbSiBU87pbwm4CgAwI5FA0/+br3buWhNsQACXlD663NZVmLtu6+YGqdxOKKUz8KY2nVzLAD4SH5QaAaCOQQ8mQDQVUlx1L+/SGTfPLtzC4t1//3OEfJlfqJQAAIJBDCdTRZQ5UpTmdzfrURWtLtr9MZ4pg3MYcOQAAciOQQ1G+99HzNMNLuzKWCwSQxuahbklTpsRNkS5+Y3AOAID0CORQlNbGBnrPAUxLKpUyEOKlO6Ms6Wsve3sAAIgTAjkAQFYl66tx6QM2fzS/HF1CNx1aVYa9AgAQPgI5lEywVx1AdShZemMgIqzEGWPlAIsaAwCqE4EcAKCi/HTsidUpG+pMvTOapmxbbLDXQDEmAECVKs3iQIAodgJUq46WRMn2ddOhVVrY0677/+lZLZjVpt++8pp62hq1fnCmGhvqtOGme9J+brpLEqyd16n//LtbimkyAACRRCCHkiG1EqhOB9f06/nfvKzf/8rjBX1u65JZ+t9PPTvptUu2DEmStg33pP1MV0tCna0Jnfrli5LclO6hM4Zm6sGT/5J3G8xMmxd2F9BqAADigdRKAEBWdXWmS7YM6QP7lk/r86lOnjxG1e553w7dccVWOoYAAMiBETkAQF5aEtPr+zOZXr9hrjYMzsy5rT9Pzo/5guEcKdwAACQRyAEAyu6PfmekoO3rzFSZupYAAMQTgRwAoCzGR9UKD8iu279cv33lNd3xjz/WL3/zcolbBgBA/BHIoWRKttYUgKox0NmsDQtyp1QGvW3bQknSkc2DeuW10zr6Z9+WNB4U9nc269TzL5auoQAAxAyBHEpidkeTWpvqw24GgIj51gdHi/p8d1ujpKlJluvmdenU8z8tat8AAMQZgRxK4v7je8JuAoCIYZQeAIDyYfkBAEBBjh/IbxkCK2WBSRd8SpQIAKhtBHIAgLyYF5kx0gYAQPgI5AAAeTldYARXyoDvHdsX6c1bFuS9/Z8c3VC6gwMAEEHMkQMA5GX38j49+uPn896+lKmVRzYPSpIu/ty38tq+nm5KAECV41IHAMjLglltBS3sXc4UTFMySlw/2FW+gwAAEGEEcgCAkjpjqPB14/IVDA5X9neU7VgAAEQZgRwAoKT80bJyaEpMvmxlSt+0kpbMBAAgeooK5Mys28zuMbMnvZ9TumHNrNnMHjCzR8zscTP7SDHHBABEw5HN87O+395c+mnYNx9er3uv2ZF6Hhyhe8vZQ5KkRibJAQCqXLFXuusk3eucG5Z0r/c86CVJu51z6ySNSNpnZmcVeVwAQMjmdrVkfO++a3fq0xevK/kxZ7U3aXFv+5SRuEW9bZKkxX3tkqQdS3v15SvOLvnxAQCIimIDuUOSbvce3y7pguAGLukF72nC+8MqRAAQU/lkLS7saVNnS6JsbQiOxJ2/dmDS87o60/rB8s3VAwAgbMUGcrOdc6ckyfvZl24jM6s3s4cl/UzSPc65+zPt0MwuM7OHzOyhn//850U2DwBQaa4CfXWFrmkHAEC1yTmBwcz+TtKcNG9dn+9BnHOvSRoxsy5JXzaz1c65xzJse6ukWyVp06ZNXKkBIGbKWezEN9jdmjwWNU0AADUqZyDnnNuT6T0z+2cz63fOnTKzfiVH3LLt65dm9g1J+ySlDeQAAMjluv3LdfXepTpx9xNhNwUAgFAUm1p5p6Rj3uNjkr4S3MDMer2ROJlZi6Q9kr5f5HEBACHJlNXor+lWidTKhvo6tTc1pEb/SN8AANSaYgO5E5L2mtmTkvZ6z2VmA2Z2l7dNv6T7zOy7kh5Uco7cV4s8LgAgJH7QlGmtNqavAQBQfkUt8uOce1bSaJrXfyLpgPf4u5LWF3McAEB01HnxmwtEbH5cV8l5a/7on39IpswBAGoFK6YCAAoyPHvGpOfX7F0qaXwkjhE5AADKj0AOAFCQXcv6dPLEWCq18srRYUnhVJDsbW+edGyqWAIAagWBHABgWoKplWG4YtdiPXD9eIb/5qFurRroCLFFAABURlFz5AAAtet0+HGcEvV16pvRrDecMV8zmhManj1D//2qc8JuFgAAZceIHABgWhbMak37ehjxXX9ni96+bWEIRwYAIByMyAEApuV16wZ0YE1/6rllqGYJAABKj0AOADAtZqZE/Xh1Eeekq0aHtWZuZ4itAgCgNhDIAQBKojlRr/d5SxEAAIDyIpADABTt7veco1ltjWE3AwCAmkEgBwAo2op+Sv4DAFBJVK0EAAAAgJghkAMAAACAmCGQAwAAAICYIZADAAAAgJghkAMAAACAmCGQAwAAAICYIZADAAAAgJghkAMAAACAmCGQAwAAAICYIZADAAAAgJgx51zYbcjIzP5V0g/CbgeAWOqR9IuwGwEgdjh3AJiucp0/FjjneoMvNpThQKX0A+fcprAbASB+zOwhzh8ACsW5A8B0Vfr8QWolAAAAAMQMgRwAAAAAxEzUA7lbw24AgNji/AFgOjh3AJiuip4/Il3sBAAAAAAwVdRH5AAAAAAAAZEM5Mxsn5n9wMyeMrPrwm4PgGjKda4ws51m9ryZPez9uSGMdgKIPjP7vJn9zMweC7stAKIr17mikvcekUutNLN6ST+UtFfSM5IelHTEOfe9UBsGIFLyOVeY2U5J1zrnDobSSACxYWbbJb0g6T8651aH3R4A0ZTrXFHJe48ojshtlvSUc+5p59zLkr4k6VDIbQIQPZwrAJSMc+6bkp4Lux0Aoi1K54ooBnJzJf1owvNnvNcAYKJ8zxVbzOwRM7vbzFZVpmkAAKCGVeTeo6FcOy6CpXktWvmfAKIgn3PFdyQtcM69YGYHJN0habjsLQMAALWqYvceURyRe0bS/AnP50n6SUhtARBdOc8VzrlfOede8B7fJSlhZj2VayIAAKgllbz3iGIg96CkYTNbaGaNkg5LujPkNgGInpznCjObY2bmPd6s5Dnv2Yq3FAAA1IRK3ntELrXSOfeqmb1b0tcl1Uv6vHPu8ZCbBSBiMp0rzOxy7/3PSbpI0jvN7FVJv5V02EWtVC+ASDCzL0raKanHzJ6R9GHn3G3htgpA1KQ7V0hKSJW/94jc8gMAAAAAgOyimFoJAAAAAMiCQA4AAAAAYoZADgAAAABihkAOAAAAAGKGQA4AAAAAYoZADgBQM8xslpk97P35qZn92Hv8gpn9adjtAwAgXyw/AACoSWZ2o6QXnHOfDrstAAAUihE5AEDNM7OdZvZV7/GNZna7mf2tmZ00s9eb2R+Y2aNm9jUzS3jbbTSz/2lm/8fMvm5m/eH+LQAAtYRADgCAqRZLGpN0SNJfSLrPObdG0m8ljXnB3B9Lusg5t1HS5yV9PKzGAgBqT0PYDQAAIILuds69YmaPSqqX9DXv9UclDUlaJmm1pHvMTN42p0JoJwCgRhHIAQAw1UuS5Jw7bWavuPEJ5aeVvHaapMedc1vCaiAAoLaRWgkAQOF+IKnXzLZIkpklzGxVyG0CANQQAjkAAArknHtZ0kWSPmVmj0h6WNLZ4bYKAFBLWH4AAAAAAGKGETkAAAAAiBkCOQAAAACIGQI5AAAAAIgZAjkAAAAAiBkCOQAAAACIGQI5AAAAAIgZAjkAAAAAiBkCOQAAAACImf8PiFe9yCsIwDQAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from scipy.io.wavfile import read\nimport matplotlib.pyplot as plt\n\n# read audio samples\ninput_data = read('OAF_back_angry.wav')\naudio = input_data[1]\n# plot the first 1024 samples\nplt.plot(audio[0:1024])\n# label the axes\nplt.ylabel(\"Amplitude\")\nplt.xlabel(\"Time\")\n# set the title \nplt.title(\"Sample Wav\")\n# display the plot\nplt.show()","execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{},"cell_type":"markdown","source":"import wave\n\n#Few observations: they are all in mono format,none in stereo format,sample rate=22050 x.shape is the length of the audio in samples(meaning more the samples,longer the audio"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":18,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_angry')","execution_count":19,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ls","execution_count":20,"outputs":[{"output_type":"stream","text":"\u001b[0m\u001b[01;34mOAF_Fear\u001b[0m/ \u001b[01;34mOAF_disgust\u001b[0m/ \u001b[01;34mYAF_disgust\u001b[0m/ \u001b[01;34mYAF_pleasant_surprised\u001b[0m/\r\n\u001b[01;34mOAF_Pleasant_surprise\u001b[0m/ \u001b[01;34mOAF_happy\u001b[0m/ \u001b[01;34mYAF_fear\u001b[0m/ \u001b[01;34mYAF_sad\u001b[0m/\r\n\u001b[01;34mOAF_Sad\u001b[0m/ \u001b[01;34mOAF_neutral\u001b[0m/ \u001b[01;34mYAF_happy\u001b[0m/\r\n\u001b[01;34mOAF_angry\u001b[0m/ \u001b[01;34mYAF_angry\u001b[0m/ \u001b[01;34mYAF_neutral\u001b[0m/\r\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_angry/","execution_count":21,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_angry\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=2\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":22,"outputs":[{"output_type":"stream","text":"(34902,)\n(34018,)\n(37391,)\n(33360,)\n(32128,)\n(34972,)\n(33642,)\n(36936,)\n(41020,)\n(35477,)\n(34762,)\n(36292,)\n(30317,)\n(34093,)\n(35116,)\n(36414,)\n(35963,)\n(34557,)\n(34433,)\n(34452,)\n(38056,)\n(34963,)\n(30247,)\n(38337,)\n(32723,)\n(34173,)\n(37387,)\n(31170,)\n(35647,)\n(34358,)\n(32955,)\n(35426,)\n(39793,)\n(38331,)\n(33936,)\n(37148,)\n(33826,)\n(35040,)\n(32864,)\n(33225,)\n(35107,)\n(36554,)\n(33515,)\n(34752,)\n(32471,)\n(36015,)\n(36834,)\n(34582,)\n(34119,)\n(37941,)\n(34254,)\n(34050,)\n(29914,)\n(36945,)\n(34757,)\n(33738,)\n(34512,)\n(36879,)\n(34406,)\n(33232,)\n(37767,)\n(31616,)\n(38788,)\n(37538,)\n(31858,)\n(31473,)\n(34725,)\n(37041,)\n(32875,)\n(33226,)\n(32125,)\n(35305,)\n(33514,)\n(36300,)\n(34002,)\n(33894,)\n(31425,)\n(33279,)\n(36723,)\n(38020,)\n(37074,)\n(31590,)\n(32346,)\n(33476,)\n(36471,)\n(34100,)\n(33194,)\n(32336,)\n(37577,)\n(33750,)\n(35972,)\n(39743,)\n(31546,)\n(35223,)\n(31925,)\n(30829,)\n(36439,)\n(33425,)\n(33281,)\n(36299,)\n(37085,)\n(32685,)\n(35806,)\n(32566,)\n(35785,)\n(35802,)\n(33956,)\n(33806,)\n(33749,)\n(34489,)\n(33680,)\n(36046,)\n(37274,)\n(35304,)\n(37190,)\n(35968,)\n(37037,)\n(37394,)\n(34093,)\n(34513,)\n(29439,)\n(34111,)\n(32189,)\n(35930,)\n(33847,)\n(31483,)\n(34136,)\n(34575,)\n(36666,)\n(29251,)\n(33710,)\n(36366,)\n(33529,)\n(30764,)\n(31475,)\n(36356,)\n(34297,)\n(35432,)\n(33141,)\n(30384,)\n(33088,)\n(37124,)\n(35743,)\n(30353,)\n(35110,)\n(30654,)\n(36897,)\n(35566,)\n(35832,)\n(35999,)\n(32772,)\n(36272,)\n(35578,)\n(37265,)\n(34779,)\n(35183,)\n(36945,)\n(33266,)\n(32851,)\n(28402,)\n(33672,)\n(36441,)\n(33875,)\n(33951,)\n(35272,)\n(35133,)\n(35559,)\n(37398,)\n(32909,)\n(37400,)\n(35316,)\n(32199,)\n(32528,)\n(37376,)\n(31760,)\n(36555,)\n(33029,)\n(31194,)\n(33980,)\n(34778,)\n(30765,)\n(36775,)\n(34111,)\n(36116,)\n(35547,)\n(33077,)\n(35364,)\n(35570,)\n(35556,)\n(37259,)\n(35777,)\n(32963,)\n(32693,)\n(35567,)\n(32680,)\n(37014,)\n(35323,)\n(36987,)\n(35891,)\n(33215,)\n1.5696326530612246\nOAF_whip_angry.wav 1.2880725623582767\nOAF_rose_angry.wav 1.8603174603174604\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_fear"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":23,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_Fear')","execution_count":24,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_Fear/","execution_count":25,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_Fear\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=2\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":26,"outputs":[{"output_type":"stream","text":"(37467,)\n(37627,)\n(36035,)\n(36696,)\n(31888,)\n(34907,)\n(35725,)\n(34414,)\n(36394,)\n(34866,)\n(37686,)\n(34922,)\n(34414,)\n(40328,)\n(38124,)\n(32375,)\n(33966,)\n(28849,)\n(38319,)\n(34838,)\n(34897,)\n(34997,)\n(36209,)\n(35149,)\n(36765,)\n(35470,)\n(32098,)\n(37525,)\n(30942,)\n(35432,)\n(37372,)\n(35433,)\n(30137,)\n(35300,)\n(39030,)\n(32992,)\n(40233,)\n(37258,)\n(34386,)\n(33956,)\n(34871,)\n(39768,)\n(39068,)\n(35391,)\n(34925,)\n(38334,)\n(33012,)\n(37220,)\n(34315,)\n(35814,)\n(37074,)\n(36328,)\n(37302,)\n(37042,)\n(39285,)\n(34953,)\n(36544,)\n(36522,)\n(36682,)\n(36946,)\n(37833,)\n(37344,)\n(33345,)\n(30718,)\n(28618,)\n(35972,)\n(28597,)\n(32504,)\n(33773,)\n(34465,)\n(36034,)\n(36021,)\n(37715,)\n(33040,)\n(35134,)\n(34964,)\n(30761,)\n(35155,)\n(36147,)\n(35174,)\n(35489,)\n(37673,)\n(35186,)\n(34763,)\n(33723,)\n(40492,)\n(36216,)\n(33042,)\n(38146,)\n(36608,)\n(40283,)\n(34075,)\n(35029,)\n(37120,)\n(34141,)\n(33895,)\n(39885,)\n(34316,)\n(38715,)\n(36555,)\n(37094,)\n(32794,)\n(34641,)\n(36531,)\n(37125,)\n(38142,)\n(30678,)\n(38157,)\n(32695,)\n(36620,)\n(36862,)\n(36403,)\n(33980,)\n(36850,)\n(33971,)\n(33122,)\n(31394,)\n(32916,)\n(41215,)\n(30991,)\n(32150,)\n(37721,)\n(34683,)\n(36933,)\n(35305,)\n(39143,)\n(34421,)\n(41521,)\n(34696,)\n(31894,)\n(30582,)\n(35718,)\n(32996,)\n(32207,)\n(36518,)\n(33463,)\n(37561,)\n(35384,)\n(32640,)\n(33937,)\n(32051,)\n(34581,)\n(38117,)\n(32805,)\n(37686,)\n(33220,)\n(34487,)\n(39069,)\n(33793,)\n(33405,)\n(35218,)\n(34790,)\n(33339,)\n(33701,)\n(37777,)\n(38084,)\n(34525,)\n(32060,)\n(33425,)\n(35748,)\n(30791,)\n(34336,)\n(39497,)\n(33971,)\n(36920,)\n(34133,)\n(32307,)\n(37720,)\n(34402,)\n(34363,)\n(35279,)\n(30582,)\n(38914,)\n(34494,)\n(34714,)\n(32001,)\n(31380,)\n(32232,)\n(37198,)\n(35395,)\n(43793,)\n(33381,)\n(35623,)\n(35607,)\n(35323,)\n(41794,)\n(37363,)\n(34332,)\n(33064,)\n(39763,)\n(31431,)\n(37954,)\n(44496,)\n(32655,)\n(34322,)\n(34988,)\n(34030,)\n(34919,)\n(33177,)\n(31930,)\n1.6021750566893416\nOAF_shirt_fear.wav 1.2969160997732427\nOAF_walk_fear.wav 2.0179591836734696\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_disgust/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":27,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_disgust')","execution_count":28,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_disgust/","execution_count":29,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_disgust\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":30,"outputs":[{"output_type":"stream","text":"(56690,)\n(48282,)\n(48331,)\n(52780,)\n(53254,)\n(49300,)\n(59775,)\n(47054,)\n(54710,)\n(54608,)\n(45702,)\n(49788,)\n(50145,)\n(53065,)\n(47936,)\n(51103,)\n(49986,)\n(55155,)\n(51724,)\n(52604,)\n(54016,)\n(52342,)\n(50066,)\n(51023,)\n(49841,)\n(52086,)\n(50838,)\n(51766,)\n(55327,)\n(53500,)\n(56053,)\n(50175,)\n(52310,)\n(49184,)\n(48661,)\n(47568,)\n(53799,)\n(53872,)\n(51278,)\n(53414,)\n(47216,)\n(52790,)\n(57538,)\n(51282,)\n(49266,)\n(51568,)\n(55232,)\n(51080,)\n(60714,)\n(53400,)\n(47698,)\n(52916,)\n(51446,)\n(53841,)\n(52302,)\n(46963,)\n(48839,)\n(50674,)\n(53658,)\n(50017,)\n(54592,)\n(54771,)\n(52646,)\n(49744,)\n(54083,)\n(53142,)\n(51845,)\n(55381,)\n(55021,)\n(58789,)\n(53866,)\n(49500,)\n(53522,)\n(52159,)\n(55401,)\n(50828,)\n(52649,)\n(53218,)\n(52410,)\n(49771,)\n(51729,)\n(53765,)\n(56907,)\n(51939,)\n(54779,)\n(50973,)\n(52668,)\n(48628,)\n(50117,)\n(49151,)\n(51339,)\n(52258,)\n(55911,)\n(56465,)\n(55547,)\n(56432,)\n(50882,)\n(50596,)\n(51122,)\n(51805,)\n(51389,)\n(53638,)\n(53670,)\n(51993,)\n(44490,)\n(51221,)\n(56318,)\n(50184,)\n(47433,)\n(58257,)\n(50699,)\n(54280,)\n(55866,)\n(52295,)\n(53006,)\n(54389,)\n(51021,)\n(59405,)\n(48068,)\n(57552,)\n(52699,)\n(56683,)\n(53749,)\n(52921,)\n(55303,)\n(52851,)\n(46379,)\n(52649,)\n(53432,)\n(57410,)\n(49137,)\n(48610,)\n(48460,)\n(48205,)\n(50959,)\n(48770,)\n(51760,)\n(53385,)\n(52980,)\n(52253,)\n(53720,)\n(53510,)\n(49874,)\n(48779,)\n(54022,)\n(45807,)\n(52147,)\n(50102,)\n(53121,)\n(47092,)\n(52938,)\n(53123,)\n(48721,)\n(53323,)\n(53204,)\n(52521,)\n(50683,)\n(52064,)\n(51579,)\n(51009,)\n(54961,)\n(55659,)\n(49997,)\n(53016,)\n(49764,)\n(51816,)\n(52357,)\n(55068,)\n(48961,)\n(47655,)\n(55520,)\n(54755,)\n(47962,)\n(49914,)\n(54295,)\n(50602,)\n(52758,)\n(50226,)\n(54558,)\n(53300,)\n(52007,)\n(53755,)\n(54033,)\n(57513,)\n(50205,)\n(55120,)\n(49830,)\n(54017,)\n(58091,)\n(53238,)\n(59083,)\n(50119,)\n(49768,)\n(48372,)\n(48981,)\n(52822,)\n(50105,)\n(50847,)\n(52204,)\n(51738,)\n2.3673473922902493\nOAF_wheat_disgust.wav 2.017687074829932\nOAF_south_disgust.wav 2.753469387755102\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_sad/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":31,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_Sad')","execution_count":32,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_Sad/","execution_count":33,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_Sad\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":34,"outputs":[{"output_type":"stream","text":"(53540,)\n(51756,)\n(56721,)\n(57605,)\n(58439,)\n(56339,)\n(55343,)\n(62662,)\n(59640,)\n(54838,)\n(53882,)\n(48844,)\n(54126,)\n(60330,)\n(50152,)\n(61002,)\n(60116,)\n(57392,)\n(51891,)\n(57983,)\n(56180,)\n(52640,)\n(58764,)\n(63435,)\n(57486,)\n(57809,)\n(56187,)\n(54799,)\n(55263,)\n(56799,)\n(55759,)\n(61254,)\n(55475,)\n(53902,)\n(56501,)\n(57079,)\n(54176,)\n(57936,)\n(53782,)\n(60570,)\n(58514,)\n(59290,)\n(56741,)\n(65815,)\n(53554,)\n(55946,)\n(55214,)\n(59502,)\n(58668,)\n(55880,)\n(56518,)\n(56175,)\n(56660,)\n(48322,)\n(57695,)\n(53596,)\n(57142,)\n(54696,)\n(55209,)\n(57228,)\n(56982,)\n(53185,)\n(57509,)\n(55713,)\n(55666,)\n(64564,)\n(53454,)\n(54863,)\n(58204,)\n(57584,)\n(55304,)\n(52043,)\n(53454,)\n(58115,)\n(52443,)\n(58017,)\n(51245,)\n(53689,)\n(57631,)\n(55395,)\n(50113,)\n(59817,)\n(57719,)\n(53960,)\n(57154,)\n(52851,)\n(52704,)\n(56558,)\n(56571,)\n(55985,)\n(54567,)\n(54056,)\n(52869,)\n(53937,)\n(58612,)\n(52739,)\n(53872,)\n(62929,)\n(56602,)\n(64322,)\n(53814,)\n(58024,)\n(57673,)\n(56501,)\n(50846,)\n(54619,)\n(56794,)\n(64252,)\n(52470,)\n(54931,)\n(56843,)\n(55463,)\n(58927,)\n(53213,)\n(49525,)\n(51514,)\n(54360,)\n(56580,)\n(60466,)\n(55916,)\n(55544,)\n(57263,)\n(52253,)\n(54280,)\n(54137,)\n(61064,)\n(59417,)\n(57219,)\n(54615,)\n(51230,)\n(56051,)\n(58998,)\n(65618,)\n(51732,)\n(55164,)\n(63418,)\n(59451,)\n(51789,)\n(58718,)\n(56043,)\n(51460,)\n(57159,)\n(58661,)\n(55956,)\n(60357,)\n(59996,)\n(51306,)\n(54900,)\n(52782,)\n(52352,)\n(51349,)\n(52872,)\n(54502,)\n(55228,)\n(53069,)\n(51609,)\n(55646,)\n(55937,)\n(58087,)\n(54867,)\n(55769,)\n(55042,)\n(53538,)\n(53799,)\n(58120,)\n(55661,)\n(54343,)\n(54436,)\n(55051,)\n(53043,)\n(52004,)\n(60669,)\n(57370,)\n(57096,)\n(53628,)\n(59737,)\n(59109,)\n(56886,)\n(51432,)\n(56399,)\n(49858,)\n(53314,)\n(53880,)\n(59621,)\n(55715,)\n(52438,)\n(54763,)\n(61841,)\n(52859,)\n(55372,)\n(54828,)\n(52431,)\n(57419,)\n(57793,)\n(56127,)\n(49872,)\n(54585,)\n(56051,)\n(59233,)\n(53318,)\n2.535836507936507\nOAF_hit_sad.wav 2.191473922902494\nOAF_gap_sad.wav 2.9848072562358277\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_Pleasant_surprise/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":35,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_Pleasant_surprise')","execution_count":36,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_Pleasant_surprise/","execution_count":37,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_Pleasant_surprise\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":38,"outputs":[{"output_type":"stream","text":"(46583,)\n(50387,)\n(48263,)\n(43179,)\n(40693,)\n(45216,)\n(46829,)\n(48790,)\n(47941,)\n(49033,)\n(40040,)\n(41007,)\n(45620,)\n(45447,)\n(43442,)\n(48950,)\n(41133,)\n(47517,)\n(48572,)\n(48755,)\n(44334,)\n(38275,)\n(36970,)\n(39740,)\n(42911,)\n(43575,)\n(42506,)\n(41138,)\n(40102,)\n(52804,)\n(43168,)\n(42494,)\n(47097,)\n(40191,)\n(48894,)\n(40666,)\n(47022,)\n(45797,)\n(48177,)\n(42520,)\n(43741,)\n(46593,)\n(46263,)\n(44815,)\n(42189,)\n(49446,)\n(43678,)\n(50564,)\n(47883,)\n(41408,)\n(39323,)\n(43911,)\n(39097,)\n(45649,)\n(43767,)\n(52992,)\n(41217,)\n(46600,)\n(47662,)\n(44620,)\n(42655,)\n(50154,)\n(42684,)\n(51563,)\n(44188,)\n(42729,)\n(45554,)\n(45458,)\n(42471,)\n(47748,)\n(47373,)\n(47731,)\n(48437,)\n(44587,)\n(47865,)\n(40555,)\n(40388,)\n(48383,)\n(42589,)\n(47128,)\n(43802,)\n(46390,)\n(40389,)\n(41822,)\n(48011,)\n(44570,)\n(54167,)\n(41811,)\n(42266,)\n(47344,)\n(45342,)\n(44218,)\n(42813,)\n(45897,)\n(44164,)\n(45439,)\n(49313,)\n(49730,)\n(43313,)\n(43680,)\n(43251,)\n(45548,)\n(43727,)\n(46544,)\n(41030,)\n(46700,)\n(52280,)\n(52258,)\n(46884,)\n(46169,)\n(46207,)\n(44829,)\n(46386,)\n(49213,)\n(49192,)\n(50589,)\n(42668,)\n(45608,)\n(46051,)\n(44436,)\n(42447,)\n(46926,)\n(47999,)\n(38685,)\n(47318,)\n(41765,)\n(47389,)\n(42191,)\n(47614,)\n(49269,)\n(46181,)\n(45756,)\n(41163,)\n(41777,)\n(40505,)\n(45380,)\n(48326,)\n(43694,)\n(45168,)\n(46397,)\n(48932,)\n(39931,)\n(41668,)\n(45619,)\n(46781,)\n(43128,)\n(40173,)\n(44549,)\n(41519,)\n(46350,)\n(43179,)\n(42524,)\n(44814,)\n(44182,)\n(50689,)\n(43715,)\n(42561,)\n(48434,)\n(46908,)\n(44460,)\n(51656,)\n(45320,)\n(47723,)\n(39365,)\n(45296,)\n(45533,)\n(44510,)\n(47607,)\n(45269,)\n(45756,)\n(39163,)\n(50811,)\n(37046,)\n(44978,)\n(47282,)\n(42282,)\n(44195,)\n(41062,)\n(44042,)\n(48148,)\n(44102,)\n(48587,)\n(39136,)\n(45148,)\n(40799,)\n(48607,)\n(46354,)\n(47539,)\n(42824,)\n(48384,)\n(43431,)\n(46834,)\n(43068,)\n(46554,)\n(41911,)\n(40589,)\n(46861,)\n(40375,)\n(42797,)\n(40848,)\n2.0406678004535137\nOAF_bite_ps.wav 1.6766439909297053\nOAF_void_ps.wav 2.4565532879818592\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_neutral/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":39,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_neutral')","execution_count":40,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_neutral/","execution_count":41,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_neutral\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":42,"outputs":[{"output_type":"stream","text":"(43559,)\n(41609,)\n(41181,)\n(45683,)\n(38103,)\n(44536,)\n(48824,)\n(42707,)\n(45341,)\n(49370,)\n(38215,)\n(43748,)\n(42581,)\n(44731,)\n(46576,)\n(45779,)\n(44390,)\n(43406,)\n(46627,)\n(42716,)\n(44278,)\n(40837,)\n(43631,)\n(46406,)\n(42720,)\n(47245,)\n(45165,)\n(42710,)\n(44032,)\n(46154,)\n(41546,)\n(43566,)\n(40788,)\n(45890,)\n(44427,)\n(46575,)\n(43679,)\n(47848,)\n(42897,)\n(41079,)\n(42623,)\n(44638,)\n(44459,)\n(47399,)\n(40476,)\n(47090,)\n(42528,)\n(43078,)\n(45863,)\n(44436,)\n(43492,)\n(47700,)\n(41380,)\n(42738,)\n(45281,)\n(47734,)\n(41213,)\n(43626,)\n(48402,)\n(47404,)\n(46024,)\n(48096,)\n(42797,)\n(44642,)\n(45235,)\n(46074,)\n(47951,)\n(46833,)\n(50434,)\n(47200,)\n(42373,)\n(39397,)\n(41797,)\n(46020,)\n(46941,)\n(42270,)\n(43848,)\n(46865,)\n(44203,)\n(49363,)\n(46679,)\n(46522,)\n(46703,)\n(42367,)\n(42674,)\n(40867,)\n(42613,)\n(47663,)\n(42261,)\n(43217,)\n(44144,)\n(45789,)\n(48491,)\n(43373,)\n(41340,)\n(44209,)\n(49433,)\n(43655,)\n(47563,)\n(45355,)\n(45573,)\n(45058,)\n(43705,)\n(46363,)\n(39894,)\n(45492,)\n(44228,)\n(41954,)\n(45264,)\n(44371,)\n(40520,)\n(45600,)\n(43443,)\n(45856,)\n(42739,)\n(44284,)\n(38010,)\n(44355,)\n(43640,)\n(43392,)\n(42849,)\n(41049,)\n(49576,)\n(44000,)\n(48473,)\n(41775,)\n(46451,)\n(47308,)\n(40511,)\n(39680,)\n(47580,)\n(49392,)\n(45621,)\n(44079,)\n(43441,)\n(42832,)\n(45042,)\n(41656,)\n(41924,)\n(42048,)\n(42871,)\n(46594,)\n(42398,)\n(42589,)\n(51285,)\n(48869,)\n(50957,)\n(41479,)\n(41834,)\n(43965,)\n(45260,)\n(45095,)\n(44903,)\n(44608,)\n(41753,)\n(43733,)\n(44184,)\n(47486,)\n(46973,)\n(41085,)\n(45397,)\n(40227,)\n(47295,)\n(46955,)\n(44115,)\n(51309,)\n(43666,)\n(46308,)\n(43046,)\n(44955,)\n(44531,)\n(38583,)\n(48323,)\n(43577,)\n(47780,)\n(44282,)\n(49192,)\n(47821,)\n(46678,)\n(42770,)\n(50905,)\n(41216,)\n(46199,)\n(49389,)\n(45656,)\n(44497,)\n(42294,)\n(42108,)\n(43415,)\n(42772,)\n(45657,)\n(41562,)\n(43753,)\n(43860,)\n(43012,)\n(44091,)\n(41692,)\n(45910,)\n(47304,)\n(42330,)\n2.0198133786848067\nOAF_vote_neutral.wav 1.723809523809524\nOAF_raise_neutral.wav 2.3269387755102042\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# OAF_happy/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":43,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('OAF_happy/')","execution_count":44,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd OAF_happy/","execution_count":45,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/OAF_happy\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":46,"outputs":[{"output_type":"stream","text":"(45616,)\n(46143,)\n(46792,)\n(43716,)\n(43942,)\n(40605,)\n(45253,)\n(41780,)\n(43610,)\n(44493,)\n(43849,)\n(42374,)\n(44121,)\n(42712,)\n(42652,)\n(44874,)\n(42844,)\n(42447,)\n(43614,)\n(45364,)\n(47532,)\n(43610,)\n(40970,)\n(40173,)\n(43323,)\n(47395,)\n(44390,)\n(44933,)\n(41684,)\n(47616,)\n(42409,)\n(44357,)\n(44921,)\n(44046,)\n(43750,)\n(44342,)\n(44320,)\n(47455,)\n(40602,)\n(46756,)\n(44831,)\n(44623,)\n(40255,)\n(44108,)\n(38420,)\n(46579,)\n(44971,)\n(46045,)\n(41843,)\n(44937,)\n(48372,)\n(44230,)\n(42459,)\n(45572,)\n(44408,)\n(45868,)\n(48661,)\n(42011,)\n(42442,)\n(43612,)\n(45287,)\n(44893,)\n(45048,)\n(41325,)\n(40486,)\n(44166,)\n(49559,)\n(41563,)\n(43369,)\n(43718,)\n(44922,)\n(44277,)\n(43261,)\n(39022,)\n(41843,)\n(42571,)\n(47656,)\n(46756,)\n(42772,)\n(43628,)\n(44720,)\n(44524,)\n(43002,)\n(41108,)\n(40248,)\n(43752,)\n(41654,)\n(43338,)\n(43351,)\n(43657,)\n(41146,)\n(47700,)\n(41765,)\n(45535,)\n(46479,)\n(42095,)\n(45995,)\n(43520,)\n(44743,)\n(44750,)\n(41101,)\n(44800,)\n(46714,)\n(45980,)\n(45276,)\n(46278,)\n(42000,)\n(42759,)\n(39482,)\n(45540,)\n(35964,)\n(45946,)\n(47711,)\n(42777,)\n(40954,)\n(45835,)\n(43523,)\n(40271,)\n(42675,)\n(43635,)\n(45971,)\n(44068,)\n(39886,)\n(41013,)\n(43390,)\n(44025,)\n(44793,)\n(46481,)\n(41861,)\n(48612,)\n(45866,)\n(46256,)\n(41649,)\n(44247,)\n(46381,)\n(42342,)\n(46923,)\n(48567,)\n(50900,)\n(41507,)\n(41021,)\n(46130,)\n(40139,)\n(43488,)\n(46013,)\n(47180,)\n(42195,)\n(43519,)\n(47275,)\n(47930,)\n(49427,)\n(46330,)\n(43419,)\n(45361,)\n(44629,)\n(44544,)\n(45628,)\n(46050,)\n(46983,)\n(43718,)\n(43405,)\n(45625,)\n(48349,)\n(44652,)\n(44548,)\n(45260,)\n(39578,)\n(46071,)\n(41953,)\n(46721,)\n(48257,)\n(47486,)\n(47436,)\n(43147,)\n(45336,)\n(41318,)\n(46015,)\n(48403,)\n(43817,)\n(46294,)\n(44012,)\n(39511,)\n(44706,)\n(37315,)\n(45553,)\n(44491,)\n(48099,)\n(39479,)\n(43553,)\n(42038,)\n(43590,)\n(43055,)\n(42768,)\n(42610,)\n(47673,)\n(46199,)\n(49060,)\n(44438,)\n(39175,)\n(45189,)\n2.0036188208616776\nOAF_boat_happy.wav 1.6310204081632653\nOAF_pass_happy.wav 2.308390022675737\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_disgust/ "},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":47,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_disgust/')","execution_count":48,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_disgust/","execution_count":49,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_disgust\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":50,"outputs":[{"output_type":"stream","text":"2.5297873015873016\nYAF_sheep_disgust.wav 2.2053968253968255\nYAF_seize_disgust.wav 2.8556916099773244\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_pleasant_surprised/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":51,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_pleasant_surprised/')","execution_count":52,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_pleasant_surprised/","execution_count":53,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_pleasant_surprised\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":54,"outputs":[{"output_type":"stream","text":"1.9749331065759639\nYAF_numb_ps.wav 1.6500680272108843\nYAF_door_ps.wav 2.4546031746031747\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_fear/ "},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":55,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_fear/')","execution_count":56,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_fear/","execution_count":57,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_fear\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":58,"outputs":[{"output_type":"stream","text":"1.715152154195011\nYAF_choice_fear.wav 1.2541043083900227\nYAF_haze_fear.wav 2.061451247165533\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_sad/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":59,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_sad/')","execution_count":60,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_sad/","execution_count":61,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_sad\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":62,"outputs":[{"output_type":"stream","text":"2.268395238095239\nYAF_chair_sad.wav 1.9420861678004535\nYAF_keep_sad.wav 2.690249433106576\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_happy/"},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":63,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_happy/')","execution_count":64,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_happy/","execution_count":65,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_happy\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":66,"outputs":[{"output_type":"stream","text":"1.9422975056689338\nYAF_tough_happy.wav 1.728888888888889\nYAF_mess_happy.wav 2.2355555555555555\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_angry/ "},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ..","execution_count":67,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_angry/')","execution_count":68,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_angry/","execution_count":69,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_angry\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":70,"outputs":[{"output_type":"stream","text":"2.1131671201814064\nYAF_burn_angry.wav 1.6341043083900226\nYAF_five_angry.wav 2.503401360544218\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"# YAF_neutral/"},{"metadata":{"trusted":true},"cell_type":"code","source":" cd .. ","execution_count":71,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"File_Names=os.listdir('YAF_neutral/')","execution_count":72,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd YAF_neutral/","execution_count":73,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data/YAF_neutral\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"Max=1\nMin=3\nMax_File_Name= ''\nMin_File_Name= ''\nsum=0\naverage=0\nfor file in File_Names:\n x, sr = librosa.load(file)\n length=librosa.get_duration(y=x, sr=sr)\n sum=sum+length\n if length > Max:\n Max=length\n Max_File_Name=file\n if length < Min:\n Min=length\n Min_File_Name=file\naverage=sum/200\nprint(average)\nprint(Min_File_Name,Min)\nprint(Max_File_Name,Max)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Results: https://docs.google.com/spreadsheets/d/149iS0mC3PbC0Lv1OYSs_-CbGEy6ufvfkYAVDvI0Rsvk/edit#gid=0"}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4} \ No newline at end of file diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-2-t-SNE 2D&3D.ipynb b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-2-t-SNE 2D&3D.ipynb new file mode 100644 index 0000000..c813ffd --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/TESS/TESS-2-t-SNE 2D&3D.ipynb @@ -0,0 +1 @@ +{"cells":[{"metadata":{},"cell_type":"markdown","source":"# TESS t-SNE"},{"metadata":{},"cell_type":"markdown","source":"T-distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm for visualization developed by Laurens van der Maaten and Geoffrey Hinton.[1] It is a nonlinear dimensionality reduction technique well-suited for embedding high-dimensional data for visualization in a low-dimensional space of two or three dimensions. Specifically, it models each high-dimensional object by a two- or three-dimensional point in such a way that similar objects are modeled by nearby points and dissimilar objects are modeled by distant points with high probability. Now We will create a t-SNE plot of a group of audio clips."},{"metadata":{"trusted":true},"cell_type":"code","source":"%matplotlib inline\nfrom matplotlib import pyplot as plt\nimport matplotlib.cm as cm\nimport fnmatch\nimport os\nimport numpy as np\nimport librosa\nimport matplotlib.pyplot as plt\nimport librosa.display\nfrom sklearn.manifold import TSNE\nimport json\n# Importing library \nimport csv \nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport glob","execution_count":1,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cd ../input/toronto-emotional-speech-set-tess/'TESS Toronto emotional speech set data'/","execution_count":2,"outputs":[{"output_type":"stream","text":"/kaggle/input/toronto-emotional-speech-set-tess/TESS Toronto emotional speech set data\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"files = []\nfor root, dirnames, filenames in os.walk('.'):\n for filename in fnmatch.filter(filenames, '*.wav'):\n files.append(os.path.join(root, filename))\n\nprint(\"found %d .wav files\"%(len(files)))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_features(y, sr):\n y = y[0:sr] # analyze just first second\n S = librosa.feature.melspectrogram(y, sr=sr, n_mels=128)\n log_S = librosa.amplitude_to_db(S, ref=np.max)\n mfcc = librosa.feature.mfcc(S=log_S, n_mfcc=13)\n delta_mfcc = librosa.feature.delta(mfcc, mode='nearest')\n delta2_mfcc = librosa.feature.delta(mfcc, order=2, mode='nearest')\n feature_vector = np.concatenate((np.mean(mfcc,1), np.mean(delta_mfcc,1), np.mean(delta2_mfcc,1)))\n feature_vector = (feature_vector-np.mean(feature_vector)) / np.std(feature_vector)\n return feature_vector","execution_count":4,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"feature_vectors = []\nsound_paths = []\nfor i,f in enumerate(files):\n if i % 100 == 0:\n print(\"get %d of %d = %s\"%(i+1, len(files), f))\n y, sr = librosa.load(f)\n feat = get_features(y, sr)\n feature_vectors.append(feat)\n sound_paths.append(f)\n \nprint(\"calculated %d feature vectors\"%len(feature_vectors))","execution_count":5,"outputs":[{"output_type":"stream","text":"get 1 of 2800 = ./OAF_Pleasant_surprise/OAF_beg_ps.wav\nget 101 of 2800 = ./OAF_Pleasant_surprise/OAF_bar_ps.wav\nget 201 of 2800 = ./OAF_neutral/OAF_phone_neutral.wav\nget 301 of 2800 = ./OAF_neutral/OAF_lot_neutral.wav\nget 401 of 2800 = ./OAF_Sad/OAF_should_sad.wav\nget 501 of 2800 = ./OAF_Sad/OAF_fail_sad.wav\nget 601 of 2800 = ./YAF_pleasant_surprised/YAF_tip_ps.wav\nget 701 of 2800 = ./YAF_pleasant_surprised/YAF_deep_ps.wav\nget 801 of 2800 = ./YAF_angry/YAF_bath_angry.wav\nget 901 of 2800 = ./YAF_angry/YAF_met_angry.wav\nget 1001 of 2800 = ./OAF_angry/OAF_far_angry.wav\nget 1101 of 2800 = ./OAF_angry/OAF_keg_angry.wav\nget 1201 of 2800 = ./OAF_disgust/OAF_rose_disgust.wav\nget 1301 of 2800 = ./OAF_disgust/OAF_check_disgust.wav\nget 1401 of 2800 = ./OAF_Fear/OAF_keen_fear.wav\nget 1501 of 2800 = ./OAF_Fear/OAF_cause_fear.wav\nget 1601 of 2800 = ./YAF_sad/YAF_thin_sad.wav\nget 1701 of 2800 = ./YAF_sad/YAF_juice_sad.wav\nget 1801 of 2800 = ./YAF_fear/YAF_mop_fear.wav\nget 1901 of 2800 = ./YAF_fear/YAF_road_fear.wav\nget 2001 of 2800 = ./YAF_happy/YAF_home_happy.wav\nget 2101 of 2800 = ./YAF_happy/YAF_lease_happy.wav\nget 2201 of 2800 = ./YAF_disgust/YAF_goose_disgust.wav\nget 2301 of 2800 = ./YAF_disgust/YAF_perch_disgust.wav\nget 2401 of 2800 = ./OAF_happy/OAF_haze_happy.wav\nget 2501 of 2800 = ./OAF_happy/OAF_met_happy.wav\nget 2601 of 2800 = ./YAF_neutral/YAF_pad_neutral.wav\nget 2701 of 2800 = ./YAF_neutral/YAF_date_neutral.wav\ncalculated 2800 feature vectors\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"feature_vectors[1].shape","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"(39,)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = TSNE(n_components=2, learning_rate=150, perplexity=30, verbose=2, angle=0.1).fit_transform(feature_vectors)","execution_count":7,"outputs":[{"output_type":"stream","text":"[t-SNE] Computing 91 nearest neighbors...\n[t-SNE] Indexed 2800 samples in 0.014s...\n[t-SNE] Computed neighbors for 2800 samples in 0.352s...\n[t-SNE] Computed conditional probabilities for sample 1000 / 2800\n[t-SNE] Computed conditional probabilities for sample 2000 / 2800\n[t-SNE] Computed conditional probabilities for sample 2800 / 2800\n[t-SNE] Mean sigma: 0.030072\n[t-SNE] Computed conditional probabilities in 0.211s\n[t-SNE] Iteration 50: error = 77.7857056, gradient norm = 0.0662232 (50 iterations in 3.402s)\n[t-SNE] Iteration 100: error = 65.1989899, gradient norm = 0.0248577 (50 iterations in 1.667s)\n[t-SNE] Iteration 150: error = 62.9501801, gradient norm = 0.0126249 (50 iterations in 1.376s)\n[t-SNE] Iteration 200: error = 62.1048775, gradient norm = 0.0066348 (50 iterations in 1.321s)\n[t-SNE] Iteration 250: error = 61.6939011, gradient norm = 0.0084554 (50 iterations in 1.288s)\n[t-SNE] KL divergence after 250 iterations with early exaggeration: 61.693901\n[t-SNE] Iteration 300: error = 1.3796942, gradient norm = 0.0011695 (50 iterations in 2.168s)\n[t-SNE] Iteration 350: error = 1.1065457, gradient norm = 0.0004497 (50 iterations in 2.185s)\n[t-SNE] Iteration 400: error = 1.0036056, gradient norm = 0.0002514 (50 iterations in 2.326s)\n[t-SNE] Iteration 450: error = 0.9501274, gradient norm = 0.0001671 (50 iterations in 2.049s)\n[t-SNE] Iteration 500: error = 0.9180815, gradient norm = 0.0001237 (50 iterations in 2.030s)\n[t-SNE] Iteration 550: error = 0.8970652, gradient norm = 0.0001004 (50 iterations in 2.053s)\n[t-SNE] Iteration 600: error = 0.8825905, gradient norm = 0.0000806 (50 iterations in 1.925s)\n[t-SNE] Iteration 650: error = 0.8719295, gradient norm = 0.0000684 (50 iterations in 1.919s)\n[t-SNE] Iteration 700: error = 0.8639442, gradient norm = 0.0000592 (50 iterations in 1.857s)\n[t-SNE] Iteration 750: error = 0.8576999, gradient norm = 0.0000516 (50 iterations in 1.820s)\n[t-SNE] Iteration 800: error = 0.8526903, gradient norm = 0.0000459 (50 iterations in 1.833s)\n[t-SNE] Iteration 850: error = 0.8485556, gradient norm = 0.0000409 (50 iterations in 1.880s)\n[t-SNE] Iteration 900: error = 0.8451473, gradient norm = 0.0000374 (50 iterations in 1.829s)\n[t-SNE] Iteration 950: error = 0.8422511, gradient norm = 0.0000346 (50 iterations in 1.800s)\n[t-SNE] Iteration 1000: error = 0.8397690, gradient norm = 0.0000314 (50 iterations in 1.782s)\n[t-SNE] KL divergence after 1000 iterations: 0.839769\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"symbol=[]\nsymbol=[1]*1400\nx=[2]*1400\nsymbol.extend(x)","execution_count":8,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"file=[1,2,3,4,5,6,7]\ncolor=[]\nfor i in file:\n x=[i]*200\n color.extend(x)\ncolor.extend(color)","execution_count":9,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"len(color)","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"2800"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"x_axis=model[:,0]\ny_axis=model[:,1]\nimport plotly.express as px\nfig = px.scatter(x=x_axis, y=y_axis,color=color,symbol=symbol,opacity=0.7)\nfig.show()","execution_count":11,"outputs":[{"output_type":"display_data","data":{"text/html":" \n "},"metadata":{}},{"output_type":"display_data","data":{"text/html":"
\n \n \n
\n \n
"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"x_axis[0].shape","execution_count":12,"outputs":[{"output_type":"execute_result","execution_count":12,"data":{"text/plain":"()"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = TSNE(n_components=3, learning_rate=150, perplexity=30, verbose=2, angle=0.1).fit_transform(feature_vectors)","execution_count":null,"outputs":[{"output_type":"stream","text":"[t-SNE] Computing 91 nearest neighbors...\n[t-SNE] Indexed 2800 samples in 0.011s...\n[t-SNE] Computed neighbors for 2800 samples in 0.333s...\n[t-SNE] Computed conditional probabilities for sample 1000 / 2800\n[t-SNE] Computed conditional probabilities for sample 2000 / 2800\n[t-SNE] Computed conditional probabilities for sample 2800 / 2800\n[t-SNE] Mean sigma: 0.030072\n[t-SNE] Computed conditional probabilities in 0.230s\n[t-SNE] Iteration 50: error = 76.1352997, gradient norm = 0.0608183 (50 iterations in 12.800s)\n[t-SNE] Iteration 100: error = 63.2598381, gradient norm = 0.0066225 (50 iterations in 5.125s)\n[t-SNE] Iteration 150: error = 62.1069641, gradient norm = 0.0026155 (50 iterations in 4.034s)\n[t-SNE] Iteration 200: error = 61.7089996, gradient norm = 0.0016776 (50 iterations in 4.147s)\n[t-SNE] Iteration 250: error = 61.5123978, gradient norm = 0.0011952 (50 iterations in 3.949s)\n[t-SNE] KL divergence after 250 iterations with early exaggeration: 61.512398\n[t-SNE] Iteration 300: error = 1.1716573, gradient norm = 0.0005879 (50 iterations in 10.048s)\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"files","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x_axis=model[:,0]\ny_axis=model[:,1]\nz_axis=model[:,2]\nimport plotly.express as px\nfig = px.scatter_3d(x=x_axis, y=y_axis, z=z_axis,color=color,symbol=symbol,opacity=0.7)\n\n#,color=emotion,symbol=age\n# tight layout\nfig.update_layout(margin=dict(l=0, r=0, b=0, t=0))\nfig.show()\n# plt.figure(figsize = (10,10))\n# plt.scatter(x_axis, y_axis)\n# plt.show()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4} \ No newline at end of file diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/readme.md b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/readme.md new file mode 100644 index 0000000..38dd231 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/Audio Analysis/readme.md @@ -0,0 +1,181 @@ +This Directory hosts the links to the audio datasets,brief descriptions and how useful they are to our use case:- + +- General Good resource: [OpenSLR Datasets](http://www.openslr.org/resources.php) +- Springer List of datasets with emotional speech: [Emotional Speech Databases](https://link.springer.com/content/pdf/bbm%3A978-90-481-3129-7%2F1.pdf) +- Needs a account to explore the database:- [sensitive agent project database](https://semaine-db.eu/) +- Surrey Audio-Visual Expressed Emotion (SAVEE) Database - [Link](http://kahlan.eps.surrey.ac.uk/savee/Introduction.html) +- India Emotional Speech Dataset- [link](https://arxiv.org/pdf/1910.13801.pdf) +- CREMA-D - 7442 files, English, 6 emotions, speech, 2443 raters- [link](https://ieeexplore.ieee.org/abstract/document/6849440/) +- MSP-IMPROV - Dyadic speakers, English, 7818 files, 5 emotions, many raters.[link](http://ecs.utdallas.edu/research/researchlabs/msp-lab/MSP-Improv.html) +- There are also a number of non-validated sets, some of which include: RML emotion database, SAVEE, eNTERFACE'05. + +# Human Audio Datasets + +## [Multimodal EmotionLines Dataset (MELD)](https://affective-meld.github.io/) + +- Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. +- MELD contains the same dialogue instances available in EmotionLines, but it also encompasses audio and visual modality along with text. +- MELD has more than 1400 dialogues and 13000 utterances from Friends TV series. +- Each utterance in a dialogue has been labeled with— Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. Download here + +For this project: +- This will be the most important dataset for the project and I believe it has already been used in this research project. + +## [IEMOCAP Datset](https://sail.usc.edu/iemocap/iemocap_release.htm): +- . It contains data from 10 actors, male and female, during their affective dyadic interaction. +- approximately 12 hours of audiovisual data +- For each improvised and scripted recording, we provide detailed audiovisual and text information, +which consists of the audio and video of both interlocutors, the Motion Capture data of the face, head +and hand of one of the interlocutors in each recording, +the text trascriptions of the conversation and their word-level, phone-level and syllable-level alignment. + +For this project: +- It will also very important for learning about skills of audio analysis to identify emotions in dyadic interactions. + +## [Toronto emotional speech set (TESS) ](https://tspace.library.utoronto.ca/handle/1807/24487) +- A set of 200 target words were spoken in the carrier phrase "Say the word _____' by two actresses (aged 26 and 64 years) and +recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). +- There are 2800 stimuli in total. + +For this Project:- +- This will also be very important dataset as it can be used to do emotion classification using audio features + +## [Ryerson Audio-Visual Database of Emotional Speech and Song](https://smartlaboratory.org/ravdess) +-contains 7356 files (total size: 24.8 GB). +- The database contains 24 professional actors (12 female, 12 male), vocalizing two lexically-matched statements in a neutral North American accent. +- Speech includes calm, happy, sad, angry, fearful, surprise, and disgust expressions, and song contains calm, happy, sad, angry, and fearful emotions. + +For this project: +-Among little few datasets that can be used for emotion classification directly after extracting audio features + +## [CHIME](https://chimechallenge.github.io/chime6/download.html) +This is a noisy speech recognition challenge dataset (~4GB in size). +The dataset contains real simulated and clean voice recordings. +Real being actual recordings of 4 speakers in nearly 9000 recordings over 4 noisy locations, +simulated is generated by combining multiple environments over speech utterances and clean being non-noisy recordings. + +For this project:- +- Not useful directly for emotion classfication(not sure) as such but will help in learn in reducing noise,identifying how noise affect the data and the audio features and analysis + +## http://kahlan.eps.surrey.ac.uk/savee/ +## [Free Spoken Digit Dataset](https://github.com/Jakobovski/free-spoken-digit-dataset) + +- This one was created to solve the task of identifying spoken digits in audio samples. +- It’s an open dataset so the hope is that it will keep growing as people keep contributing more samples. +- Currently, it contains the below characteristics: 1) 3 speakers 2) 1,500 recordings (50 of each digit per speaker) 3) English pronunciations. +- This is a really small set- about 10 MB in size. + +For this Project:- +- Not Much of Use to us,as we in general want to identify emotion from sentences that are spoken by speakers using NLP and using audio features analysis + +## [LibriSpeech](http://www.openslr.org/12/) + +- This dataset is a large-scale corpus of around 1000 hours of English speech. +- The data has been sourced from audio books from the LibriVox project and is 60 GB in size. + +For this project:- +- This can be useful for our project as hold reading by the speaker Vassil Panayotov with the assistance of Daniel Povey. + +## [Clean Speech](https://github.com/microsoft/DNS-Challenge/tree/master/datasets) +* **This dataset is from the Microsoft's [Deep Noise Suppression (DNS) Challenge - Interspeech 2020](https://github.com/microsoft/DNS-Challenge)** +* The clean speech dataset is derived from the public audio books dataset called Librivox. +* Librivox has recordings of volunteers reading over 10,000 public domain audio books in various languages, with majority of which are in English. In total, there are 11,350 speakers. +* A section of these recordings is of excellent quality, meaning that the speech was recorded using good quality microphones in a silent and less reverberant environments. +* But there are many audio recordings that are of poor speech quality with speech distortion, background noise and reverberation. Hence, it is important to filter the data based on speech quality. +* We used the online subjective test framework ITU-T P.808 to sort the book chapters by subjective quality. +* The audio chapters in Librivox are of variable length ranging from few seconds to several minutes. +* We sampled 10 random clips from each book chapter, each 10 seconds in duration. For each clip we had 3 ratings, and the Mean Opinion Score (MOS) across the all clips was used as the book chapter MOS. +* The upper quartile with respect to MOS was chosen as our clean speech dataset, which are top 25% of the clips with MOS as a metric. +* The upper quartile comprised of audio chapters with 4.3 ≤ MOS ≤ 5. We removed clips from speakers with less than 15 minutes of speech. The resulting dataset has 500 hours of speech from 2150 speakers. +* All the filtered clips are then split into segments of 31 seconds. + +## [VoxCeleb](http://www.robots.ox.ac.uk/~vgg/data/voxceleb/) + +- VoxCeleb is a large-scale speaker identification dataset. +- It contains around 100,000 utterances by 1,251 celebrities, extracted from You Tube videos. +- The data is mostly gender balanced (males comprise of 55%). +- The celebrities span a diverse range of accents, professions, and age. +- There is no overlap between the development and test sets. +- It’s an intriguing use case for isolating and identifying which superstar the voice belongs to. +- This set is 150 MB in size and has about 2000 hours of speech. + +For this Project:- + - This may be useful to our use case too,atleast for audio analysis skill learning. + - It doesn't carry text data so how useful it is in reality is yet to be determined. + +## [The Spoken Wikipedia Corpora](https://nats.gitlab.io/swc/) + +- This is a corpus of aligned spoken Wikipedia articles from the English, German, and Dutch Wikipedia. +- Hundreds of hours of aligned audio and annotations can be mapped back to the original HTML. +- The entire set is about 38 GB in size available in both audio and without audio format. + +For this project:- +- It will prove to useful as contains both aligned audio and annotations,which can be used for use case + + +## [TIMIT Corpus](https://catalog.ldc.upenn.edu/LDC93S1) + +- The TIMIT corpus (440 MB) of read speech is designed to provide speech data for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition +systems. +- TIMIT contains broadband recordings of 630 speakers of eight major dialects of American English, each reading ten phonetically rich sentences. +- It includes time-aligned orthographic, phonetic and word transcriptions as well as a 16-bit, 16 kHz speech waveform file for each utterance. + +For this Project:- +- I think this will be useful in learning about audio anlaysis and not as such direct emotion classification tasks + +## [Flickr Audio Caption Corpus](https://groups.csail.mit.edu/sls/downloads/flickraudio/) + +- 40,000 spoken captions of 8,000 natural images, 4.2 GB in size. +- This corpus was collected in 2015 to investigate multi-modal learning schemes for unsupervised speech pattern discovery. + +For this Project: +- I don't think it will be as useful for our use case here for our use case,but it can audio anlaysis learning process + +## [TED-LIUM](https://www.openslr.org/7/) +- Audio transcription of TED talks. +- 1495 TED talks audio recordings along with full-text transcriptions of those recordings, +created by Laboratoire d’Informatique de l’Université du Maine (LIUM). + +For this Project:- +- I think this will be pretty useful for emotion identification as it has both audio recordings and full text transcriptions +.I understand that it doesn't explicitly identifies any emotions in dataset.But it can be useful for experimenting and audio analysis learning process.. + +## [Speech Commands Dataset](https://ai.googleblog.com/2017/08/launching-speech-commands-dataset.html) +- The dataset (1.4 GB) has 65,000 one-second long utterances of 30 short words, by thousands of different people, +contributed by members of the public through the AIY website. +- The dataset is designed to let you build basic but useful voice interfaces for applications, with common words like “Yes”, “No”, digits and directions included. +The infrastructure used to create the data has been open sourced too, and we hope to see it used by the wider community to create their own versions, +especially to cover under served languages and applications. + +For this project: +- I think it can be used,not our research project by identifying several audio features and deducing results about the person speaking them.. + +## [Common Voice](https://voice.mozilla.org/en/about) +Common Voice (12 GB is size) is a corpus of speech data read by users on the Common Voice website, and +based on text from a number of public domain sources like user-submitted blog posts, old books, movies, and other public speech corpora. +Its primary purpose is to enable the training and testing of automatic speech recognition (ASR) systems. + +## [VoxForge](http://www.voxforge.org/home/downloads) +Clean speech dataset of accented English. Useful for instances in which you expect to need robustness to different accents or intonations. + +For this project:- +- Can be used to learn how accents affect the audio features and analysis components + +## [2000 HUB5 English](https://catalog.ldc.upenn.edu/LDC2002T43) +English-only speech data used most recently in the Deep Speech paper from Baidu. +Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set +The training data belongs to 20 Parkinson’s Disease (PD) patients and 20 healthy subjects. +From all subjects, multiple types of sound recordings (26) are taken for this 20 MB set. + +For this project:- +- Not sure if it will be directly useful,but it can used to learn patterns in speech of people with diseases. + +## [Zero Resource Speech Challenge](https://www.zerospeech.com/) +The ultimate goal of the Zero Resource Speech Challenge is to construct a system that learns an end-to-end Spoken Dialog (SD) system, +in an unknown language, from scratch, using only information available to a language learning infant. +“Zero resource” refers to zero linguistic expertise (e.g., orthographic/linguistic transcriptions), +not zero information besides audio (visual, limited human feedback, etc). +The fact that 4-year-olds spontaneously learn a language without supervision from language experts show that this goal is theoretically reachable. + +For this project:- +- Not sure where it can be used here in our use case right now but it can form basis for future work.. diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/LICENSE b/src/MULTIMODAL-EMOTION-RECOGNITION-master/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Disclaimer of Warranty. + + THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY +APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT +HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY +OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, +THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM +IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF +ALL NECESSARY SERVICING, REPAIR OR CORRECTION. + + 16. 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Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. 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Understanding emotions will allow the systems to adapt according to the responses and behavioral patterns. If this happens in a reasonable sense of accuracy, then we would be expecting artificial agents to be our cognitive-consulting partners in our everyday life. Research would be extending in making the interaction more natural and responsive to sophisticated situations. +Checkout this repository to know more about the dataset - https://github.com/SenticNet/MELD + +## Introduction +With the rapid growth of Artificial Intelligence (AI), multimodal emotion recognition has become a major research topic, primarily due to its potential applications in many challenging tasks, such as dialogue generation, user behavior understanding, multimodal interaction, and others. A conversational emotion recognition system can be used to generate appropriate responses by analyzing user emotions (Zhou et al., 2017; Rashkin et al., 2018). +In Dialogue Conversations, the utterance by a speaker y (say) depends on the utterance/statement given previously by a speaker x. That there occurs a correlation between the sequence of utterances. This is depicted in Figure-1, where 2 speakers are conversing and there is an emotional shift visible as the conversation proceeds.
      + +![Figure 1: MELD_about_data](MELD.PNG)
      **Figure 1: MELD_about_data**
      + + +Conversation in its natural form is multimodal. In dialogues, we rely on others’ facial expressions, vocal tonality, language, and gestures to anticipate their stance. For emotion recognition, multimodality is particularly important. For the utterances with language that is difficult to understand, we often resort to other modalities, such as prosodic and visual cues, to identify their emotions. Figure-2 presents examples from the dataset where the presence of multimodal signals in addition to the text itself is necessary in order to make correct predictions of their emotions and sentiments. Multimodal emotion recognition of sequential turns encounters several other challenges. One such example is the classification of short utterances. Utterances like “yeah”, “okay”, “no” can express varied emotions depending on the context and discourse of the dialogue. However, due to the difficulty of perceiving emotions from text alone, most models resort to assigning the majority class.
      +![Figure 2: Importance of Multimodal Cues](MELD_fig2.png)
      **Figure 2: Importance of Multimodal Cues**
      +We use MELD [Multimodal Multi-party Dataset for Emotion Recognitions in Conversations Dataset](https://arxiv.org/pdf/1810.02508.pdf). The [dataset](https://github.com/SenticNet/MELD) contains the same dialogue instances available in EmotionLines, but it also encompasses audio and visual modality along with the text. MELD has more than 1400 dialogues and 13000 utterances from Friends TV series. Multiple speakers participated in the dialogues. Each utterance in dialogue has been labeled by any of these seven emotions -- Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. MELD also has sentiment (positive, negative and neutral) annotation for each utterance. The other publicly available multimodal emotion and sentiment recognition datasets are MOSEI, MOSI, MOUD. However, none of those datasets is conversational.
      + +## Paper +The paper explaining this dataset can be found - https://arxiv.org/pdf/1810.02508.pdf + +## Approach +For multimodal emotion recognition: we divided the dataset into 3 parts. The text part (text utterances), the audio part (audio utterances), and the Video part (Face model). We use deep learning models for classifying the emotions into 7 categories - Anger, Disgust, Fear, Joy, Neutral, Sadness, Surprise.
      +Video Part: +Traditional techniques for emotion recognition have focused on facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present deep net-works for context-aware emotion recognition, called CAER-Net, that exploit not only human facial expression but also context information in a joint and boosting manner. The key idea is to hide human faces in a visual scene and seek other contexts based on an attention mechanism. Our face networks consist of two sub-networks, including two-stream encoding networks to separately extract the features of face and context regions, and adaptive fusion networks to use such features in an adaptive fashion. +The video dataset is broken down into frames and the facial recognition library (python) is used for extracting out the faces from those frames as shown in the below example Figure-3.
      +![Figure 3: (a) Sequence of three frames from a conversation. (b) Face extraction from the frame. (c) The leftover part {context}](MELD_fig3.png)
      **Figure 3: (a) Sequence of three frames from a conversation. (b) Face extraction from the frame. (c) The leftover part {context}**
      +Concretely, let us denote an image and a video that consists of a sequence of T images as I and V={I1,..., It}, respectively. Our objective is to infer the discrete emotion label y among K emotion labels{y1,...,yk}of the image I or video clip V with deep CNNs. To solve this problem, we present a network architecture consisting of two sub-networks, including a two-stream encoding network and an adaptive fusion network, as illustrated in Fig. 4. The two-stream encoding networks consist of face stream and on-text streaming in which facial expression and context information is encoded in separate networks. By combining two features in the adaptive fusion network, our method attains an optimal performance for context-aware emotion recognition. +
      + +## Classification Network: +![Figure 4: Two Stream Classification Network and Adaptive Fusion Network](MELD_fig4.png)
      **Figure 4: Two Stream Classification Network and Adaptive Fusion Network**
      +
      +The classification results will look as follows:
      +![Figure 5: Video Classification using Context-Aware Model](MELD_fig5.gif)
      **Figure 5: Video Classification using Context-Aware Model**
      +
      +## Text Part +For text, we are using Pre Trained Glove Embeddings for converting the text from Word to Vector. Followed by we are currently testing Convolutional Neural Networks and Long Short Term Memory Networks for feature extraction for accurate Classification. + +## Audio Part +For audio, we have extracted various Audio Features using the OpenSmile Toolkit. 13 MFCC, 13 chromagram-based and8 Time Spectral Features like zero-crossing rate, short-term energy, short-term entropy of energy, spectral centroid and spread, spectral entropy, spectral flux, spectral roll-off. We calculate features in a 0.2-second window and move it with0.1 second step and with a 16 kHz sample rate. We keep a maximum of 100 frames or approximately 10 seconds of the input, and zero pad the extra signal and end up with a (100,34) feature vector for each utterance. We also experiment with delta and double-delta features of MFCC but they don’t produce any performance improvement while adding extra computational overhead. + +## About the repository contents: +The /model directory contains the ipynb files of the baseline multimodal architecture which encorporates the video frames, text and the audio into a fused network as below. +The video frames as concatenated in order to incorporate the temporal information, pretrained embeddings are used for conversion of word to vector in the text base model portion and mfcc features are convoluted forward from the audio. +![baseline_multimodal](https://github.com/ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION/blob/master/Multimodal-architectures/baseline_model.png)
      **Baseline multimodal**
      + +The unimodel_text ipynb is the baseline text model provided in the SenticNet MELD paper. +The /csv directory contains the csv files with the utterances, speakers, emotion, sentiment labels, etc.
      +Pickle files can be found here: [drive link](https://drive.google.com/drive/folders/12ASDScVn2cCmgs_XWerQVgu1A9nAViGO?usp=sharing) + +## Libraries/Softwares Used: +* Tensorflow +* Keras +* Face_recognition +* Librosa (audio analysis) +* Pandas (text structuring) +* OpenSmile Toolkit + +## References +* [https://arxiv.org/pdf/1908.05913.pdf](https://arxiv.org/pdf/1908.05913.pdf) (CAER) +* [https://arxiv.org/pdf/1810.02508.pdf](https://arxiv.org/pdf/1810.02508.pdf) (MELD) +* [https://arxiv.org/pdf/1804.05788.pdf](https://arxiv.org/pdf/1804.05788.pdf) (Advanced AI, LG Silicon Valley Lab, UBER Bangalore) +* [https://arxiv.org/pdf/1706.03762.pdf](https://arxiv.org/pdf/1706.03762.pdf) - Attention is All You Need (Google Research) diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/csv/dev_sent_emo.csv b/src/MULTIMODAL-EMOTION-RECOGNITION-master/csv/dev_sent_emo.csv new file mode 100644 index 0000000..e5e1322 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/csv/dev_sent_emo.csv @@ -0,0 +1,1110 @@ +Sr No.,Utterance,Speaker,Emotion,Sentiment,Dialogue_ID,Utterance_ID,Season,Episode,StartTime,EndTime +1,"Oh my God, he’s lost it. He’s totally lost it.",Phoebe,sadness,negative,0,0,4,7,"00:20:57,256","00:21:00,049" +2,What?,Monica,surprise,negative,0,1,4,7,"00:21:01,927","00:21:03,261" +3,"Or! Or, we could go to the bank, close our accounts and cut them off at the source.",Ross,neutral,neutral,1,0,4,4,"00:12:24,660","00:12:30,915" +4,You’re a genius!,Chandler,joy,positive,1,1,4,4,"00:12:32,334","00:12:33,960" +5,"Aww, man, now we won’t be bank buddies!",Joey,sadness,negative,1,2,4,4,"00:12:34,211","00:12:37,505" +6,"Now, there’s two reasons.",Chandler,neutral,neutral,1,3,4,4,"00:12:38,466","00:12:39,841" +7,Hey.,Phoebe,neutral,neutral,1,4,4,4,"0:12:43,012","0:12:44,074" +8,Hey!,All,joy,positive,1,5,4,4,"0:12:44,074","0:12:45,189" +9,"Ohh, you guys, remember that cute client I told you about? I bit him.",Phoebe,neutral,neutral,1,6,4,4,"00:12:45,347","00:12:50,852" +10,Where?!,Rachel,surprise,negative,1,7,4,4,"0:12:52,730","0:12:55,002" +11,On the touchy.,Phoebe,neutral,neutral,1,8,4,4,"0:12:55,002","0:12:55,824" +12,And,Ross,neutral,neutral,1,9,4,4,"00:12:56,025","00:12:58,193" +13,"No, I know!",Phoebe,surprise,negative,1,10,4,4,"00:12:59,195","00:13:01,863" +14,"I-I’m sorry, but the moment I touch him, I just wanna throw out my old oath and take a new, dirty one.",Phoebe,anger,negative,1,11,4,4,"00:12:59,195","00:13:10,163" +15,"Well, next time your massaging him, you should try and distract yourself.",Monica,neutral,neutral,1,12,4,4,"00:13:07,495","00:13:16,044" +16,Yeah! Yeah! Yeah! Like-like when I’m doing something exciting and I don’t wanna get,Joey,joy,positive,1,13,4,4,"00:13:10,372","00:13:17,712" +17,"Thank you, Joey.",Chandler,neutral,neutral,1,14,4,4,"0:13:29,391","0:13:30,483" +18,"No-no, thank you.",Joey,neutral,neutral,1,15,4,4,"0:13:30,483","0:13:31,611" +19,"Hey Estelle, listen",Joey,neutral,neutral,2,0,6,4,"00:08:53,241","00:08:57,224" +20,Well! Well! Well! Joey Tribbiani! So you came back huh? They,Estelle,surprise,positive,2,1,6,4,"00:08:53,241","00:09:01,206" +21,What are you talkin’ about? I never left you! You’ve always been my agent!,Joey,surprise,negative,2,2,6,4,"00:09:08,548","00:09:13,476" +22,Really?!,Estelle,surprise,positive,2,3,6,4,"0:09:13,594","0:09:14,476" +23,Yeah!,Joey,joy,positive,2,4,6,4,"0:09:14,476","0:09:15,728" +24,"Oh well, no harm, no foul.",Estelle,neutral,neutral,2,5,6,4,"00:09:16,138","00:09:19,224" +25,"Okay, you guys free tonight?",Gary,neutral,neutral,3,0,5,20,"0:01:00,894","0:01:02,271" +26,Yeah!!,Ross,joy,positive,3,1,5,20,"0:01:02,271","0:01:03,961" +27,Tonight? You-you didn't say it was going to be at nighttime.,Chandler,surprise,negative,3,2,5,20,"00:01:04,731","00:01:07,608" +28,Yes? Yes?! How can I help you?,Ross,neutral,neutral,4,0,7,7,"00:14:33,289","00:14:36,040" +29,"Yeah, we were…we were just looking around.",Guy,neutral,neutral,4,1,7,7,"00:14:36,208","00:14:38,001" +30,"Oh-oh, you’re-you’re fellow scholars.",Ross,surprise,negative,4,2,7,7,"00:14:38,210","00:14:40,587" +31,"What exactly were you looking for, hmm?",Ross,neutral,neutral,4,3,7,7,"00:14:40,754","00:14:43,256" +32,"Perhaps, perhaps Dr. Chester Stock’s musings on the Smiledon Californicus?",Ross,neutral,neutral,4,4,7,7,"00:14:43,424","00:14:50,597" +33,Uhh….,Guy,neutral,neutral,4,5,7,7,"00:14:51,932","00:14:53,099" +34,"Ah… Ah…Get out of here! Uh, meeting someone? Or-or are you just here to brush up on Marion’s views on evolution?",Ross,anger,negative,4,6,7,7,"00:14:51,932","00:15:11,743" +35,"Uh, actually I find Marion’s views far too progressionist.",Woman,neutral,neutral,4,7,7,7,"00:15:12,036","00:15:16,623" +36,I find Marion’s views far too progressionist.,Ross,neutral,neutral,4,8,7,7,"00:15:21,253","00:15:24,547" +37,"I’m sorry, who are you?",Woman,surprise,positive,4,9,7,7,"00:15:24,798","00:15:27,967" +38,"I’m a professor here uh, Ross…Geller.",Ross,neutral,neutral,4,10,7,7,"00:15:28,177","00:15:30,386" +39,"Ross Geller, why do I know that name? It’s uh—Wait! Did you write this?",Woman,surprise,positive,4,11,7,7,"00:15:30,638","00:15:41,022" +40,Yes! You’re the person who checked out my book?!,Ross,surprise,positive,4,12,7,7,"00:15:41,899","00:15:50,490" +41,"Y’know, you look nothing like I would’ve thought. You’re…you’re so young.",Woman,surprise,positive,4,13,7,7,"00:15:56,830","00:15:58,311" +42,"Well I uh, I skipped forth grade.",Ross,neutral,neutral,4,14,7,7,"00:15:59,500","00:16:03,544" +43,You had no right to tell me you ever had feelings for me.,Ross,anger,negative,5,0,2,7,"00:18:28,565","00:18:31,234" +44,What?,Rachel,surprise,negative,5,1,2,7,"00:18:31,693","00:18:33,528" +45,I was doing great with Julie before I found out about you.,Ross,anger,negative,5,2,2,7,"00:18:31,693","00:18:35,196" +46,"Hey, I was doin' great before I found out about you. You think it's easy for me to see you with Julie?",Rachel,anger,negative,5,3,2,7,"00:18:35,364","00:18:39,951" +47,The point is I...,Ross,anger,negative,5,4,2,7,"0:19:12,818","0:19:14,030" +48,"I don't need this right now, OK.",Ross,anger,negative,5,5,2,7,"0:19:14,030","0:19:15,699" +49,"It, it's too late, I'm with somebody else, I'm happy.",Ross,anger,negative,5,6,2,7,"00:19:15,821","00:19:20,741" +50,This ship has sailed.,Ross,anger,negative,5,7,2,7,"00:19:17,781","00:19:20,741" +51,"Alright, fine, you go ahead and you do that, alright Ross.",Rachel,anger,negative,5,8,2,7,"0:19:27,166","0:19:29,588" +52,Fine.,Ross,anger,negative,5,9,2,7,"0:19:29,588","0:19:29,727" +53,Cause I don't need your stupid ship.,Rachel,anger,negative,5,10,2,7,"00:19:29,835","00:19:31,210" +54,Good.,Ross,anger,negative,5,11,2,7,"0:19:31,378","0:19:32,440" +55,Good.,Rachel,anger,negative,5,12,2,7,"0:19:32,440","0:19:33,256" +56,"Oh, it's so romantic to send people off on their honeymoon.",Phoebe,joy,positive,6,0,8,3,"00:03:10,273","00:03:14,610" +57,"Y’know, Monica and Chandler are married. Ross and Rachel are having a baby. Maybe you and I should do something.",Joey,neutral,neutral,6,1,8,3,"00:03:14,861","00:03:25,120" +58,All in good time my love.,Phoebe,neutral,neutral,6,2,8,3,"0:03:19,032","0:03:22,044" +59,All in good time.,Phoebe,neutral,neutral,6,3,8,3,"0:03:22,044","0:03:25,177" +60,Oh shoot!,Phoebe,surprise,negative,6,4,8,3,"0:03:26,247","0:03:27,415" +61,I left my guitar in their apartment.,Phoebe,sadness,negative,6,5,8,3,"0:03:27,415","0:03:29,417" +62,Well you can let me in later.,Phoebe,neutral,neutral,6,6,8,3,"0:03:29,417","0:03:31,086" +63,"I don’t have a key, they took mine to give to you.",Joey,neutral,neutral,6,7,8,3,"0:03:31,211","0:03:33,589" +64,What?! They took mine to give to you!,Phoebe,surprise,negative,6,8,8,3,"0:03:33,589","0:03:33,746" +65,Why would they take away our keys?,Joey,surprise,negative,6,9,8,3,"00:03:33,880","00:03:38,884" +66,Wow! It looks like we got a lot of good stuff.,Ross,joy,positive,7,0,8,20,"00:15:01,722","00:15:03,557" +67,"Oh we did, but my mom got us the greatest gift of all.",Rachel,joy,positive,7,1,8,20,"00:15:03,724","00:15:06,560" +68,A,Ross,neutral,neutral,7,2,8,20,"00:15:06,769","00:15:08,729" +69,No. She’s going to live with us for eight weeks.,Rachel,neutral,neutral,7,3,8,20,"00:15:09,897","00:15:14,026" +70,"Uh, what?",Ross,surprise,positive,7,4,8,20,"00:15:14,276","00:15:15,672" +71,Yes! She’s gonna help us take care of the baby! Woo-hoo.,Rachel,joy,positive,7,5,8,20,"00:15:15,861","00:15:19,656" +72,What—You’re not serious.,Ross,surprise,negative,7,6,8,20,"00:15:20,574","00:15:22,743" +73,"I mean she’s a very nice woman, but there is no way we can take eight weeks of her.",Ross,anger,negative,7,7,8,20,"00:15:22,910","00:15:27,247" +74,She’ll drive us totally crazy.,Ross,disgust,negative,7,8,8,20,"0:15:27,414","0:15:28,999" +75,Hi Ross!,Mrs. Green,joy,positive,7,9,8,20,"0:15:28,999","0:15:29,508" +76,Hi roomie!,Ross,joy,positive,7,10,8,20,"00:15:29,625","00:15:31,835" +77,Hey! What did you decide to do about the movie?,Monica,neutral,neutral,8,0,7,19,"00:03:17,697","00:03:20,199" +78,I don’t know!,Joey,neutral,neutral,8,1,7,19,"00:03:20,366","00:03:22,743" +79,It’s not like it’s porn!,Joey,neutral,neutral,8,2,7,19,"0:03:23,119","0:03:24,621" +80,"This is a serious, legitimate movie.",Joey,neutral,neutral,8,3,7,19,"0:03:24,621","0:03:27,226" +82,And the nudity is really important to the story.,Joey,neutral,neutral,8,4,7,19,"00:03:27,332","00:03:29,750" +83,That’s what you say about porn.,Monica,neutral,neutral,8,5,7,19,"00:03:29,918","00:03:32,085" +84,You’re right. Maybe I shouldn’t even go on the call back.,Joey,neutral,neutral,8,6,7,19,"00:03:33,004","00:03:35,339" +85,"No! No you should! A lot of major actors do nude scenes! I mean, the chance to star in a movie? Come on!",Monica,joy,positive,8,7,7,19,"00:03:35,506","00:03:42,304" +86,Well that’s true.,Joey,neutral,neutral,8,8,7,19,"0:03:42,972","0:03:44,015" +87,And I am only naked in one scene.,Joey,neutral,neutral,8,9,7,19,"0:03:44,015","0:03:46,777" +88,Plus it sounds really great.,Joey,neutral,neutral,8,10,7,19,"0:03:46,777","0:03:48,325" +89,My character’s catholic and he falls in love with this Jewish girl.,Joey,neutral,neutral,8,11,7,19,"00:03:48,394","00:03:51,480" +90,Who run away together and they get caught in this big rainstorm.,Joey,neutral,neutral,8,12,7,19,"00:03:51,648","00:03:54,316" +91,So we go into this barn and undress each other and hold each other.,Joey,neutral,neutral,8,13,7,19,"00:03:54,484","00:03:58,028" +92,It’s really sweet and-and tender.,Joey,joy,positive,8,14,7,19,"00:03:58,196","00:04:01,240" +93,"Hey, what’s up?",Joey,neutral,neutral,9,0,6,3,"00:05:22,280","00:05:23,905" +94,"Nothing, Monica and I had a stupid fight.",Chandler,sadness,negative,9,1,6,3,"00:05:24,073","00:05:26,199" +95,"But you’re still moving in together, right? Because my ad came out today.",Joey,neutral,neutral,9,2,6,3,"00:05:26,367","00:05:29,786" +96,"""Wanted. Female roommate, non-smoker, non-ugly."" Nice!",Chandler,joy,positive,9,3,6,3,"00:05:30,872","00:05:34,291" +97,Yeah?,Joey,neutral,neutral,9,4,6,3,"00:05:37,211","00:05:38,712" +98,"I just figured y’know, after living with you it’d be an interesting change of pace to have a female roommate, y’know?",Joey,neutral,neutral,9,5,6,3,"00:05:38,880","00:05:43,508" +99,"Someone I can learn from, someone-someone who’s different than me.",Joey,neutral,neutral,9,6,6,3,"00:05:43,676","00:05:47,304" +100,And what’s more different than me. A guy who’s,Joey,neutral,neutral,9,7,6,3,"00:05:47,472","00:05:51,141" +101,So where are we going next?,Ross,neutral,neutral,10,0,5,20,"00:06:52,412","00:06:53,412" +102,This witness won't return my calls so we're gonna see if we can surprise him coming home.,Gary,neutral,neutral,10,1,5,20,"00:06:53,579","00:06:56,915" +103,"Sur-surprise him? We're not, we're not gonna make anybody mad are we?",Chandler,fear,negative,10,2,5,20,"00:06:57,125","00:07:00,752" +104,"Come on man! Listen so uh, are you gonna squeeze the perps shoes a little bit before he lawyers up?",Joey,joy,positive,10,3,5,20,"00:07:01,254","00:07:07,342" +105,It's a witness not a perp. And no one talks like that!,Gary,anger,negative,10,4,5,20,"0:07:07,593","0:07:10,096" +106,"Yeah, no one talks like that!",Ross,anger,negative,10,5,5,20,"0:07:10,096","0:07:10,240" +107,Oh what? Like your Mr. Cop!,Joey,anger,negative,10,6,5,20,"0:07:14,475","0:07:16,237" +108,"Hey, I'm more cop than you two!",Ross,anger,negative,10,7,5,20,"0:07:16,237","0:07:18,231" +109,How do you figure that?,Chandler,neutral,neutral,10,8,5,20,"00:07:18,438","00:07:20,063" +110,"Hello! I'm in the front seat, okay? I'm Gary's partner!",Ross,neutral,neutral,10,9,5,20,"00:07:20,273","00:07:25,610" +111,I guess so.,Phoebe,neutral,neutral,11,0,5,19,"00:05:29,287","00:05:30,412" +112,Here you go. Thank you!,Rachel,neutral,neutral,11,1,5,19,"0:05:34,459","0:05:36,879" +113,"Wait, Rach! Where's the other one?",Phoebe,neutral,neutral,11,2,5,19,"0:05:36,879","0:05:37,038" +114,"Oh what, you-you want both of them?",Rachel,surprise,positive,11,3,5,19,"00:05:37,503","00:05:40,172" +115,"Rachel Karen Green, where's the other earring?!",Phoebe,anger,negative,11,4,5,19,"00:05:40,590","00:05:43,050" +116,"Okay, okay, okay, look, just don't freak out, but I kinda lost it.",Rachel,fear,negative,11,5,5,19,"00:05:43,259","00:05:46,261" +117,"I know it's in the apartment, but I",Rachel,neutral,neutral,11,6,5,19,"00:05:46,429","00:05:49,973" +118,"Well, what am I going to tell Monica? She wants to wear them tonight!",Phoebe,fear,negative,11,7,5,19,"00:05:50,183","00:05:53,518" +119,Tell her to wear her own earrings.,Rachel,anger,negative,11,8,5,19,"0:05:53,728","0:05:57,065" +120,These,Phoebe,neutral,neutral,11,9,5,19,"0:05:57,065","0:05:57,211" +121,Nooo! Nooooo! You lent me Monica's earrings?! I'm not allowed to borrow her stuff!,Rachel,anger,negative,11,10,5,19,"00:05:57,315","00:06:03,570" +122,Why not?,Phoebe,neutral,neutral,11,11,5,19,"0:06:04,989","0:06:05,631" +123,Because I lose her stuff!,Rachel,anger,negative,11,12,5,19,"0:06:05,631","0:06:07,379" +127,"Uh Phoebe, can I see you for a second?",Ross,neutral,neutral,12,0,7,24,"0:11:56,507","0:11:58,179" +128,Yeah!,Phoebe,neutral,neutral,12,1,7,24,"0:11:58,179","0:12:00,071" +129,What’s going on?,Phoebe,neutral,neutral,12,2,7,24,"0:12:05,433","0:12:07,185" +130,Chandler’s gone again!,Ross,surprise,negative,12,3,7,24,"0:12:07,185","0:12:07,866" +131,Oh my God! Why would you play hide and seek with someone you know is a flight risk?!,Phoebe,sadness,negative,12,4,7,24,"00:12:08,060","00:12:13,481" +132,Okay. You ready to push again?,Dr. Harad,neutral,neutral,13,0,5,3,"00:16:02,544","00:16:04,504" +133,I already had a baby. Leave me alone.,Phoebe,anger,negative,13,1,5,3,"00:16:04,755","00:16:07,048" +134,"Okay, okay, come on, you can do it. You can do it!",Frank,joy,positive,13,2,5,3,"00:16:07,257","00:16:10,593" +135,Yeah!!,Frank,joy,positive,13,3,5,3,"00:16:18,352","00:16:19,769" +136,Little Leslie is here!,Frank,joy,positive,13,4,5,3,"0:16:20,479","0:16:22,451" +137,We got another one!,Frank,surprise,positive,13,5,5,3,"0:16:22,451","0:16:23,168" +138,"Oh my God, I can't believe I have two-two children.",Frank,surprise,positive,13,6,5,3,"00:16:23,983","00:16:27,485" +139,How scary is that?,Frank,surprise,positive,13,7,5,3,"00:16:28,529","00:16:30,405" +140,"Come on little Chandler, it's time to be born. Come on little Chandler! Come on!",Frank,joy,positive,13,8,5,3,"00:16:34,034","00:16:38,579" +141,"All right, he's coming. He's coming!",Dr. Harad,joy,positive,13,9,5,3,"00:16:39,456","00:16:41,541" +142,"Hey, where's his thing?",Frank,surprise,negative,13,10,5,3,"00:16:46,005","00:16:47,922" +143,Chandler's a girl!,Frank,surprise,positive,13,11,5,3,"00:16:52,136","00:16:53,678" +144,"Oh God, kindergarten flashback.",Chandler,surprise,negative,13,12,5,3,"00:16:55,681","00:16:58,141" +145,They musta read the sonogram wrong.,Frank,surprise,negative,13,13,5,3,"00:16:59,476","00:17:03,146" +146,"Cause they, 'cause they thought it was a boy, but Chandler's a girl!",Frank,surprise,positive,13,14,5,3,"00:16:59,476","00:17:05,440" +147,Chandler's a girl!,Frank,surprise,positive,13,15,5,3,"00:17:03,397","00:17:05,440" +148,"Okay, keep saying it!",Chandler,joy,positive,13,16,5,3,"00:17:05,649","00:17:07,316" +149,Am I too late?!,Alice,neutral,neutral,13,17,5,3,"00:17:08,777","00:17:11,779" +150,"No-no ah, everything's okay. Everybody's healthy there's 30 fingers and 30 toes.",Frank,joy,positive,13,18,5,3,"00:17:11,989","00:17:14,407" +151,We have our babies?,Alice,surprise,positive,13,19,5,3,"00:17:14,908","00:17:16,075" +152,Yeah.,Frank,joy,positive,13,20,5,3,"00:17:16,410","00:17:17,452" +153,"Oh, we have our babies.",Alice,joy,positive,13,21,5,3,"00:17:18,412","00:17:19,579" +154,Hey Toby!,Bob,joy,positive,14,0,8,5,"0:16:07,675","0:16:08,267" +155,Hey Bobby.,Chandler,neutral,neutral,14,1,8,5,"0:16:08,267","0:16:09,490" +156,"It’s Bob actually. Hey, you work up here, can you tell me where this Chandler",Bob,neutral,neutral,14,2,8,5,"00:16:09,885","00:16:17,225" +157,"Uhh yeah. Yeah, it’s right, right down there. Right there, yeah. Can I ask you why?",Chandler,neutral,neutral,14,3,8,5,"00:16:17,393","00:16:25,942" +158,"I want to talk to that bastard, see what his problem is.",Bob,anger,negative,14,4,8,5,"00:16:26,110","00:16:28,945" +159,"Okay Bob listen uhh, I’m the reason you didn’t get the job up here.",Chandler,sadness,negative,14,5,8,5,"00:16:29,113","00:16:35,410" +160,Toby don’t.,Bob,sadness,negative,14,6,8,5,"0:16:35,577","0:16:36,849" +161,Bob!,Chandler,sadness,negative,14,7,8,5,"0:16:36,849","0:16:37,541" +162,Toby! I’m not gonna let you cover for him. Anything you say right now will just get me more upset with Chandler!,Bob,anger,negative,14,8,8,5,"00:16:37,663","00:16:45,920" +164,Thank you. Oh Joey and look at this crib! It’s so cute!,Rachel,joy,positive,15,0,8,7,"00:20:49,414","00:20:58,464" +165,I know! I found it on the street.,Joey,joy,positive,15,1,8,7,"00:20:58,632","00:21:00,675" +166,Are you serious—Really?! It’s in such good condition.,Rachel,surprise,positive,15,2,8,7,"00:21:00,842","00:21:04,887" +167,Yeah.,Joey,neutral,neutral,15,3,8,7,"00:21:02,511","00:21:04,887" +168,Wow! Whoa-whoa what’s under the covers?,Rachel,surprise,negative,15,4,8,7,"00:21:05,055","00:21:07,473" +169,I don’t know.,Joey,neutral,neutral,15,5,8,7,"0:21:07,641","0:21:09,060" +170,It’s moving.,Rachel,fear,negative,15,6,8,7,"0:21:09,060","0:21:09,217" +171,Ew.,Joey,disgust,negative,15,7,8,7,"00:21:09,309","00:21:10,685" +172,It’s still——It’s got a tail! Get it out of here! Get it out of here!!,Rachel,fear,negative,15,8,8,7,"0:21:10,852","0:21:12,479" +173,Ooh! Ah! Okay!,Joey,fear,negative,15,9,8,7,"0:21:12,479","0:21:13,247" +174,"Well, I went over to Kyle’s last night to pick up a few things and we got to reminiscing",Whitney,neutral,neutral,16,0,7,5,"00:19:36,842","00:19:44,056" +175,we talked through most of the night and we realized that the reason we were so angry at each other was because there are still feelings there. So,Kyle,sadness,negative,16,1,7,5,"00:19:44,224","00:19:52,732" +176,Oh just say it Kyle!,Ross,surprise,negative,16,2,7,5,"00:19:58,030","00:19:59,697" +177,We’re gonna give it another try.,Kyle,joy,positive,16,3,7,5,"00:20:02,910","00:20:04,785" +178,What about her whining and her constant need for attention?!,Phoebe,anger,negative,16,4,7,5,"00:20:04,953","00:20:08,581" +179,I’m gonna work on that.,Whitney,neutral,neutral,16,5,7,5,"00:20:08,749","00:20:09,957" +180,"Oh right, because you’re so capable of change.",Phoebe,anger,negative,16,6,7,5,"00:20:10,125","00:20:12,418" +181,"Y’know, he hums when he pees!",Ross,anger,negative,16,7,7,5,"00:20:13,921","00:20:16,088" +182,I do know.,Whitney,neutral,neutral,16,8,7,5,"0:20:18,050","0:20:19,232" +183,"It makes him miss the bowl, but whatever.",Ross,disgust,negative,16,9,7,5,"0:20:19,232","0:20:22,446" +184,We’re so sorry.,Whitney,sadness,negative,16,10,7,5,"00:20:23,388","00:20:25,348" +185,"That’s all right, we-we don’t need you. In fact, hey I’m over it already.",Ross,anger,negative,16,11,7,5,"00:20:26,183","00:20:30,019" +186,"Yeah, and y’know what? I don’t give a tiny rat’s ass.",Phoebe,anger,negative,16,12,7,5,"00:20:30,187","00:20:33,397" +187,"Yeah, we’re gonna go.",Kyle,neutral,neutral,16,13,7,5,"00:20:34,900","00:20:36,734" +188,"I’m sorry. Ugh, Pheebs, you were, you were right about her. Y’know, she",Ross,sadness,negative,16,14,7,5,"00:20:40,906","00:20:47,203" +189,"Oh. Y’know, he hums while he does other stuff to.",Phoebe,neutral,neutral,16,15,7,5,"00:20:55,879","00:20:58,965" +190,"Yeah, we're better off without them.",Ross,anger,negative,16,16,7,5,"00:21:01,093","00:21:04,470" +191,"And y’know, even if they break up again, you’d better not let him in your sad men’s club!",Phoebe,anger,negative,16,17,7,5,"00:21:04,846","00:21:09,141" +192,Divorced men’s club.,Ross,sadness,negative,16,18,7,5,"00:21:09,309","00:21:12,603" +194,Why isn’t that valet back with my Porsche?,Joey,anger,negative,17,0,6,5,"00:14:50,514","00:14:54,183" +195,Maybe because you’ve got the keys?,Passerby,anger,negative,17,1,6,5,"00:14:55,603","00:14:57,520" +197,This is totally your fault!,Rachel,anger,negative,17,2,6,5,"0:15:03,110","0:15:04,582" +198,My fault?! You threatened the judge!,Ross,anger,negative,17,3,6,5,"0:15:04,582","0:15:07,079" +199,"Well, you ripped the paper out of the court reporter’s machine!!",Rachel,anger,negative,17,4,6,5,"00:15:07,197","00:15:10,116" +206,Phoebe!,Monica,neutral,neutral,18,0,6,22,"0:16:17,351","0:16:18,102" +207,Yeah?,Phoebe,neutral,neutral,18,1,6,22,"0:16:18,102","0:16:18,406" +208,Have you seen Chandler?!,Monica,neutral,neutral,18,2,6,22,"0:16:18,519","0:16:19,401" +209,No! Why?,Phoebe,neutral,neutral,18,3,6,22,"0:16:19,401","0:16:20,205" +210,The woman from the museum called and said that there was a cancellation and that we could move up our wedding and Chandler heard!,Monica,fear,negative,18,4,6,22,"00:16:20,312","00:16:25,566" +211,I know!,Monica,fear,negative,18,5,6,22,"0:16:26,944","0:16:27,320" +212,How bad is this?,Monica,fear,negative,18,6,6,22,"0:16:27,320","0:16:28,826" +214,"Well for the regular guy, it’s bad, but Chandler, Oh dear God!",Phoebe,fear,negative,18,7,6,22,"00:16:28,946","00:16:33,074" +215,I know! I know! And he totally freaked out and I can’t find him anywhere!,Monica,fear,negative,18,8,6,22,"00:16:34,660","00:16:37,662" +216,What are you gonna do?,Phoebe,neutral,neutral,18,9,6,22,"0:16:37,830","0:16:38,831" +217,"Well, I’m never gonna listen to you again, that’s for sure!",Monica,anger,negative,18,10,6,22,"0:16:38,831","0:16:41,285" +218,"""Y’know, harm can it do if you go and put your name down?""",Monica,neutral,neutral,18,11,6,22,"00:16:41,375","00:16:44,669" +219,Rachel said that!,Phoebe,surprise,negative,18,12,6,22,"0:16:45,546","0:16:46,728" +220,Well Rachel’s not here!,Monica,anger,negative,18,13,6,22,"0:16:46,728","0:16:47,766" +221,"Come on, come on.",Ross,neutral,neutral,19,0,1,23,"00:14:15,980","00:14:17,730" +222,"Damnit, damnit, damnit, damnit.",Ross,anger,negative,19,1,1,23,"0:14:20,234","0:14:23,156" +223,This is all your fault.,Ross,anger,negative,19,2,1,23,"0:14:23,156","0:14:24,118" +224,"This is supposed to be, like, the greatest day of my life, y'know?",Ross,anger,negative,19,3,1,23,"00:14:24,280","00:14:26,948" +225,"My son is being born, and I should be in there, you know, instead of stuck in a closet with you.",Ross,anger,negative,19,4,1,23,"00:14:27,116","00:14:32,161" +226,The woman I love is having a baby today. I've been waiting for this just as much as you have.,Susan,anger,negative,19,5,1,23,"00:14:32,329","00:14:35,665" +227,"No no no, believe me.",Ross,anger,negative,19,6,1,23,"0:14:35,833","0:14:37,095" +228,"No one has been waiting for this as much as I have, ok?",Ross,anger,negative,19,7,1,23,"0:14:37,095","0:14:39,055" +229,And you know what the funny thing is?,Ross,neutral,neutral,19,8,1,23,"00:14:39,169","00:14:40,879" +230,"When this day is over, you get to go home with the baby, ok?",Ross,anger,negative,19,9,1,23,"00:14:41,046","00:14:43,631" +231,Where does that leave me?,Ross,sadness,negative,19,10,1,23,"0:14:43,799","0:14:44,551" +232,You get to be the baby's father.,Susan,neutral,neutral,19,11,1,23,"0:14:44,551","0:14:46,275" +233,Everyone knows who you are.,Susan,neutral,neutral,19,12,1,23,"0:14:46,385","0:14:47,517" +234,Who am I?,Susan,anger,negative,19,13,1,23,"0:14:47,517","0:14:50,183" +235,"There's Mother's Day, there's Father's Day, there's no... Lesbian Lover Day.",Susan,sadness,negative,19,14,1,23,"00:14:50,306","00:14:52,599" +236,Every day is Lesbian Lover Day.,Ross,neutral,neutral,19,15,1,23,"00:14:52,766","00:14:55,226" +237,This is so great.,Phoebe,joy,positive,19,16,1,23,"00:14:58,063","00:14:59,814" +238,You wanna explain that?,Ross,neutral,neutral,19,17,1,23,"00:15:03,986","00:15:05,570" +239,"I mean, well, 'cause when I was growing up, you know my dad left, and my mother died, and my stepfather went to jail, so I barely had enough pieces of parents to make one whole one.",Phoebe,sadness,negative,19,18,1,23,"00:15:06,280","00:15:16,664" +240,And here's this little baby who has like three whole parents who care about it so much that they're fighting over who gets to love it the most.,Phoebe,joy,positive,19,19,1,23,"00:15:17,791","00:15:27,842" +241,And it's not even born yet.,Phoebe,sadness,negative,19,20,1,23,"00:15:25,424","00:15:27,842" +242,"It's just, it's just the luckiest baby in the whole world.",Phoebe,joy,positive,19,21,1,23,"00:15:28,010","00:15:30,553" +243,"I'm sorry, you were fighting.",Phoebe,sadness,negative,19,22,1,23,"00:15:33,349","00:15:35,433" +244,"Okay, it's a typical New York City apartment. Two girls are just hanging out.",Joey,neutral,neutral,20,0,5,10,"00:21:31,498","00:21:37,128" +245,"Hi, how are you doing Kelly?",Monica,neutral,neutral,20,1,5,10,"00:21:37,879","00:21:41,465" +246,"I'm doing just fine! God, Tiffany, you smell so great!",Rachel,joy,positive,20,2,5,10,"00:21:41,633","00:21:44,385" +247,It's my new perfume. Why don't you come closer where you can,Monica,neutral,neutral,20,3,5,10,"00:21:46,555","00:21:52,643" +248,"Oh, y'know Joey, you are sick!",Rachel,disgust,negative,20,4,5,10,"0:21:55,230","0:21:57,662" +249,This is disgusting!,Monica,disgust,negative,20,5,5,10,"0:21:57,662","0:21:58,196" +250,I'm not reading this!,Rachel,disgust,negative,20,6,5,10,"00:21:58,317","00:22:00,109" +251,What?! Wait-wait-wait! The handsome man was about to enter!!,Joey,surprise,negative,20,7,5,10,"00:22:00,277","00:22:04,488" +252,"All right, I'll give you this, Mr. Peanut is a better dresser.",Joey,neutral,neutral,21,0,1,20,"00:21:27,119","00:21:30,621" +253,"I mean he's got the monocle, he's got the top hat...",Joey,neutral,neutral,21,1,1,20,"00:21:30,789","00:21:33,833" +254,You know he's gay?,Phoebe,neutral,neutral,21,2,1,20,"00:21:34,001","00:21:35,876" +255,I just wanna clarify this: are you outing Mr. Peanut?,Ross,neutral,neutral,21,3,1,20,"00:21:38,964","00:21:43,092" +256,"Danielle! Hi! Uh- everybody, this is Danielle, Danielle, everybody.",Chandler,neutral,neutral,21,4,1,20,"00:21:44,303","00:21:49,765" +257,Hi. Hi.,All,neutral,neutral,21,5,1,20,"00:21:49,933","00:21:51,142" +258,What are you doing here?,Chandler,surprise,positive,21,6,1,20,"00:21:51,310","00:21:53,728" +259,"Well, what?",Chandler,neutral,neutral,22,0,1,4,"0:17:41,977","0:17:42,689" +260,What?,Chandler,neutral,neutral,22,1,1,4,"0:17:42,689","0:17:43,041" +261,What is it?,Chandler,neutral,neutral,22,2,1,4,"0:17:43,041","0:17:43,563" +262,That she left you?,Chandler,surprise,negative,22,3,1,4,"0:17:43,563","0:17:44,365" +263,That she likes women?,Chandler,neutral,neutral,22,4,1,4,"0:17:44,365","0:17:44,908" +264,That she left you for another woman that likes women?,Chandler,neutral,neutral,22,5,1,4,"00:17:44,938","00:17:47,106" +265,"Little louder, okay, I think there's a man on the twelfth floor in a coma that didn't quite hear you...",Ross,anger,negative,22,6,1,4,"00:17:47,274","00:17:51,652" +266,Then what?,Chandler,neutral,neutral,22,7,1,4,"00:17:55,282","00:17:56,365" +267,My first time with Carol was...,Ross,neutral,neutral,22,8,1,4,"00:17:57,493","00:18:00,161" +268,What?,Joey,neutral,neutral,22,9,1,4,"00:18:03,624","00:18:05,041" +269,It was my,Ross,neutral,neutral,22,10,1,4,"00:18:07,586","00:18:10,379" +270,With Carol? Oh.,Joey,surprise,negative,22,11,1,4,"00:18:13,008","00:18:14,842" +271,"So in your whole life, you've only been with one——oh.",Chandler,surprise,negative,22,12,1,4,"00:18:21,683","00:18:24,519" +272,"Whoah, boy, hockey was a big mistake! There was a whole bunch of stuff we could've done tonight!",Joey,surprise,negative,22,13,1,4,"00:18:26,814","00:18:34,445" +273,Hi. Where is everybody?,Ross,neutral,neutral,23,0,3,6,"00:17:21,123","00:17:22,790" +274,"Oh, it’s already closed, Chris gave me the keys to lock up-what is wrong?",Phoebe,sadness,negative,23,1,3,6,"00:17:22,958","00:17:27,128" +275,"My marriage, I think my marriage is um, is kinda over.",Ross,sadness,negative,23,2,3,6,"00:17:27,337","00:17:34,135" +276,Oh no! Why?,Phoebe,surprise,negative,23,3,3,6,"00:17:32,301","00:17:34,135" +277,"‘Cause Carol’s a lesbian. And, and I’m not one. And apparently it’s not a mix and match situation.",Ross,sadness,negative,23,4,3,6,"00:17:34,303","00:17:49,484" +278,"Oh my God! I don’t believe it! Oh, you poor bunny.",Phoebe,surprise,negative,23,5,3,6,"00:17:50,152","00:17:57,658" +279,I’m an idiot.,Ross,disgust,negative,23,6,3,6,"00:17:59,369","00:18:00,661" +280,"I mean shoulda seen it, I mean Carol and I’d be out and she’d, she’d see some beautiful woman, and, and she’d be Ross y'know look at her, and I’d think, God, my wife is cool!",Ross,sadness,negative,23,7,3,6,"00:18:03,499","00:18:13,674" +281,"Aw! Hey, do you think that Susan person is her lover?",Phoebe,neutral,neutral,23,8,3,6,"00:18:21,850","00:18:26,854" +282,"Well, now I do!!",Ross,surprise,negative,23,9,3,6,"00:18:29,858","00:18:31,651" +283,I’m sorry.,Phoebe,sadness,negative,23,10,3,6,"00:18:33,529","00:18:34,570" +284,Seven years.,Ross,sadness,negative,23,11,3,6,"00:18:37,199","00:18:38,866" +285,"I mean we’ve been together seven years, she’s the only woman who’s ever loved me, and the only woman I’ve-I’ve ever....",Ross,sadness,negative,23,12,3,6,"00:18:39,576","00:18:48,876" +286,"Aw, God Ross. Oh.",Phoebe,sadness,negative,23,13,3,6,"00:18:50,712","00:18:52,046" +287,I’ll do it.,Cookie,neutral,neutral,24,0,3,11,"0:19:49,938","0:19:51,690" +288,No you won’t.,Joey,neutral,neutral,24,1,3,11,"0:19:51,690","0:19:51,869" +289,"Look he knows he did a terrible thing and I believe him, he’s sorry.",Joey,sadness,negative,24,2,3,11,"00:19:52,357","00:19:57,904" +290,"But, you’ve got one more apology to make, all right, you’ve got to apologize to Mary-Angela.",Joey,neutral,neutral,24,3,3,11,"00:19:55,194","00:20:00,740" +291,"Okay, absolutely!",Chandler,joy,positive,24,4,3,11,"0:20:00,908","0:20:02,180" +292,All right.,Joey,neutral,neutral,24,5,3,11,"0:20:02,180","0:20:02,931" +293,You’ve got it.,Chandler,neutral,neutral,24,6,3,11,"0:20:02,931","0:20:03,875" +294,"Cookie, now you can punch him!",Joey,anger,negative,24,7,3,11,"0:20:13,545","0:20:15,089" +295,What?!,Chandler,surprise,negative,24,8,3,11,"0:20:15,089","0:20:15,511" +296,"All right, that's it, I quit.",Phoebe,anger,negative,25,0,2,1,"0:13:25,095","0:13:26,555" +297,What? I didn't say anything.,Monica,surprise,negative,25,1,2,1,"0:13:26,555","0:13:28,453" +298,"Yeah, but this isn't the face of a person who trusts a person.",Phoebe,anger,negative,25,2,2,1,"00:13:28,557","00:13:32,310" +299,"Ok, this is the face of a person who, you know, doesn't trust a person.",Phoebe,anger,negative,25,3,2,1,"00:13:32,478","00:13:37,690" +300,"I'm sorry. I'm sorry, Phoebe. It's just a little shorter than what we had discussed.",Monica,sadness,negative,25,4,2,1,"00:13:38,818","00:13:44,405" +301,Would you relax? I know what I am doing. This is how he wears it.,Phoebe,anger,negative,25,5,2,1,"00:13:44,573","00:13:50,870" +302,Julie.,Monica,neutral,neutral,26,0,2,2,"0:10:42,642","0:10:43,185" +303,What?!,Rachel,surprise,negative,26,1,2,2,"0:10:43,185","0:10:43,747" +304,Jody!,Monica,surprise,negative,26,2,2,2,"0:10:43,747","0:10:45,255" +305,You were with Julie?,Rachel,neutral,neutral,26,3,2,2,"00:10:46,812","00:10:50,523" +306,"Look, when it started I was just trying to be nice to her because she was my brother's girlfriend.",Monica,neutral,neutral,26,4,2,2,"00:10:50,691","00:10:56,363" +307,"And then, one thing led to another and, before I knew it, we were...shopping.",Monica,neutral,neutral,26,5,2,2,"00:10:56,530","00:11:02,786" +308,Oh. Oh my God.,Rachel,surprise,negative,26,6,2,2,"00:11:09,669","00:11:11,336" +309,"Honey, wait. We only did it once. It didn't mean anything to me.",Monica,sadness,negative,26,7,2,2,"00:11:12,755","00:11:18,510" +310,"Yeah, right.  Sure!",Rachel,anger,negative,26,8,2,2,"00:11:20,012","00:11:21,805" +311,"Really, Rachel, I was thinking of you the whole time.",Monica,sadness,negative,26,9,2,2,"00:11:21,972","00:11:24,849" +312,"Look, I'm sorry, all right.",Monica,sadness,negative,26,10,2,2,"0:11:27,853","0:11:30,865" +313,I never meant for you to find out!,Monica,sadness,negative,26,11,2,2,"0:11:30,865","0:11:32,163" +314,"Oh, please, you wanted to get caught.",Rachel,anger,negative,26,12,2,2,"00:11:32,274","00:11:35,985" +315,That is not true!,Monica,anger,negative,26,13,2,2,"00:11:36,445","00:11:37,696" +316,"Oh, so you just sort of happened to leave it in here?",Rachel,anger,negative,26,14,2,2,"00:11:37,905","00:11:40,323" +317,Did it ever occur to you that I might just be that stupid?,Monica,anger,negative,26,15,2,2,"00:11:41,409","00:11:45,120" +318,"Ok, Monica. I just have to know one thing. Did you go with her to",Rachel,sadness,negative,26,16,2,2,"00:11:47,039","00:11:55,171" +320,Yeah!,Monica,surprise,negative,27,0,8,1,"00:01:28,088","00:01:29,505" +321,I can’t say.,Phoebe,neutral,neutral,27,1,8,1,"00:01:30,173","00:01:31,548" +322,Why?!,Monica,surprise,negative,27,2,8,1,"0:01:32,133","0:01:32,968" +323,Why not?,Chandler,sadness,negative,27,3,8,1,"0:01:32,968","0:01:33,738" +324,I can’t say because he’s famous.,Phoebe,neutral,neutral,27,4,8,1,"00:01:34,344","00:01:37,596" +325,"Oh my God, who is it?!",Rachel,surprise,negative,27,5,8,1,"00:01:38,515","00:01:40,182" +326,"Phoebe, come on, you have to tell us.",Monica,anger,negative,27,6,8,1,"00:01:41,976","00:01:44,103" +327,"Okay, okay. It’s James Brolin. James Brolin is the father of my baby.",Phoebe,neutral,neutral,27,7,8,1,"00:01:44,270","00:01:51,819" +328,As in Barbara Streisand’s husband James Brolin?,Chandler,surprise,negative,27,8,8,1,"00:01:52,195","00:01:55,072" +329,What?! Well he never said that to me!,Phoebe,surprise,negative,27,9,8,1,"00:01:55,782","00:01:59,701" +330,In,Ross,neutral,neutral,28,0,5,8,"00:04:00,865","00:04:02,991" +331,"Oh, this life! Oh okay no, Chandler's is worse.",Phoebe,sadness,negative,28,1,5,8,"00:04:04,118","00:04:06,995" +332,"Man, it must be so cool remembering stuff like that! I don't have any past life memories.",Joey,joy,positive,28,2,5,8,"00:04:08,831","00:04:14,044" +333,Of course you don't sweetie. You're brand new.,Phoebe,neutral,neutral,28,3,5,8,"00:04:14,963","00:04:17,798" +334,I know Monica's worst Thanksgiving.,Rachel,neutral,neutral,28,4,5,8,"00:04:19,968","00:04:22,010" +335,"Oh, let's not tell this story.",Monica,sadness,negative,28,5,5,8,"0:04:22,178","0:04:23,780" +336,"Oh, come on!",All,sadness,negative,28,6,5,8,"0:04:23,780","0:04:24,782" +337,"Oh no, I know! I know! It's the one where Joey got Monica's turkey stuck on his head!",Phoebe,joy,positive,28,7,5,8,"00:04:24,889","00:04:30,394" +338,What?! Joey got a turkey stuck on his head?!,Rachel,surprise,positive,28,8,5,8,"00:04:31,229","00:04:35,524" +339,"Hey, it's not like it sounds.",Joey,neutral,neutral,28,9,5,8,"0:04:35,692","0:04:36,485" +340,It's,Chandler,neutral,neutral,28,10,5,8,"0:04:36,485","0:04:37,176" +341,"Wendy, we had a deal! Yeah, you promised! Wendy! Wendy! Wendy!",Monica,anger,negative,29,0,1,15,"00:15:52,368","00:15:56,496" +342,Who was that?,Rachel,neutral,neutral,29,1,1,15,"00:16:03,587","00:16:05,213" +343,Wendy bailed. I have no waitress.,Monica,sadness,negative,29,2,1,15,"00:16:07,049","00:16:10,218" +344,Oh... that's too bad. Bye bye.,Rachel,sadness,negative,29,3,1,15,"00:16:11,971","00:16:15,974" +345,Ten dollars an hour.,Monica,neutral,neutral,29,4,1,15,"0:16:16,976","0:16:18,068" +346,No.,Rachel,neutral,neutral,29,5,1,15,"0:16:18,068","0:16:18,620" +347,Twelve dollars an hour.,Monica,neutral,neutral,29,6,1,15,"00:16:18,936","00:16:20,061" +348,"Mon. I wish I could, but I've made plans to walk around.",Rachel,neutral,neutral,29,7,1,15,"00:16:20,521","00:16:23,856" +349,"You know, Rachel, when you ran out of your wedding, I was there for you.",Monica,anger,negative,29,8,1,15,"00:16:25,792","00:16:28,319" +350,"I put a roof over your head, and if that means nothing to you... twenty dollars an hour.",Monica,anger,negative,29,9,1,15,"00:16:28,487","00:16:35,034" +351,Done.,Rachel,joy,positive,29,10,1,15,"00:16:36,370","00:16:37,662" +352,"The reactor’s gonna blow in three seconds, we’re never gonna make it!",Joey,fear,negative,30,0,6,20,"00:00:05,005","00:00:08,549" +353,You’ve got to get out of here! Save yourself!,Phoebe,fear,negative,30,1,6,20,"00:00:08,717","00:00:11,802" +354,No! I won’t leave you!,Joey,fear,negative,30,2,6,20,"00:00:13,555","00:00:15,014" +355,"Don’t worry about me, I’m a robot! I’m just a machine!!",Phoebe,sadness,negative,30,3,6,20,"00:00:15,181","00:00:20,060" +356,No you’re not! Not to me!,Joey,anger,negative,30,4,6,20,"0:00:21,521","0:00:23,523" +357,Oh my God.,Phoebe,surprise,positive,30,5,6,20,"0:00:23,523","0:00:25,329" +358,What?,Joey,neutral,neutral,30,6,6,20,"0:00:25,442","0:00:26,124" +359,I am,Phoebe,neutral,neutral,30,7,6,20,"0:00:26,124","0:00:28,664" +360,"Yeah, you’re great! Okay, let’s take it from",Joey,joy,positive,30,8,6,20,"00:00:29,446","00:00:35,159" +361,"No, I mean I was really acting my ass off.",Phoebe,joy,positive,30,9,6,20,"00:00:31,031","00:00:35,159" +362,"Yeah, I thought I was pretty good too.",Joey,joy,positive,30,10,6,20,"00:00:36,327","00:00:38,078" +363,"Oh yeah, you’re solid. Yeah, you’re just no me.",Phoebe,neutral,neutral,30,11,6,20,"00:00:38,246","00:00:40,789" +364,Y’know what? I think that’s enough for now. Yeah. I don’t want to be over rehearsed.,Joey,neutral,neutral,30,12,6,20,"00:00:42,500","00:00:46,962" +365,Fine!,Phoebe,anger,negative,30,13,6,20,"0:00:47,547","0:00:48,219" +366,I’ll do it without you!,Phoebe,anger,negative,30,14,6,20,"0:00:48,219","0:00:50,279" +367,I don’t need you or anybody else!,Phoebe,anger,negative,30,15,6,20,"00:00:50,800","00:00:53,552" +368,I’m gonna make it on my own!,Phoebe,anger,negative,30,16,6,20,"00:00:53,803","00:00:56,346" +369,You’ll see!!,Phoebe,anger,negative,30,17,6,20,"0:00:57,682","0:01:00,435" +370,You’ll,Phoebe,neutral,neutral,30,18,6,20,"0:01:00,435","0:01:00,574" +371,I can't believe that Ross is gone. It is just so sad.,Kori,sadness,negative,31,0,9,17,"00:22:08,315","00:22:11,902" +372,I didn't know Ross and you were so close.,Chandler,surprise,negative,31,1,9,17,"00:22:12,110","00:22:14,154" +373,We weren't but we had one class together. He was such a great guy and he talked so passionately about science. I always remembered him.,Kori,sadness,negative,31,2,9,17,"00:22:14,362","00:22:25,749" +374,I'm sure that would mean a lot to him.,Chandler,neutral,neutral,31,3,9,17,"00:22:22,120","00:22:25,749" +375,"And if heaven has a door, I'm sure he's pressing his ear up against it and listening intently.",Chandler,neutral,neutral,31,4,9,17,"00:22:25,916","00:22:31,671" +376,I thought so many times about calling him and asking him out. I guess I really missed my chance.,Kori,sadness,negative,31,5,9,17,"00:22:33,507","00:22:39,554" +377,But you didn't!,Ross,joy,positive,31,6,9,17,"00:22:39,971","00:22:42,265" +378,I'm still alive!!,Ross,joy,positive,31,7,9,17,"00:22:44,059","00:22:45,852" +379,"Kori, I know this is a big surprise for you.",Ross,joy,positive,31,8,9,17,"00:22:47,103","00:22:49,606" +380,It's a long story but the things you just said really made my day!,Ross,joy,positive,31,9,9,17,"00:22:49,815","00:22:53,944" +381,"I mean, the fact that you are here means more to me than if this room were filled with people!",Ross,joy,positive,31,10,9,17,"00:22:54,110","00:22:59,517" +382,"You sick freak, who does that? I can't believe I had a crush on you!",Kori,anger,negative,31,11,9,17,"00:22:59,825","00:23:04,120" +383,Did you hear that? Kori Weston had a crush on me!!,Ross,joy,positive,31,12,9,17,"00:23:09,584","00:23:15,257" +384,We’ll do a quick check.,Dr. Long,neutral,neutral,32,0,8,22,"0:11:13,702","0:11:15,214" +385,Okay.,Rachel,neutral,neutral,32,1,8,22,"0:11:15,214","0:11:16,092" +386,"So, eight days late huh?",Dr. Long,surprise,positive,32,2,8,22,"0:11:16,247","0:11:18,208" +387,Yeah.,Rachel,neutral,neutral,32,3,8,22,"0:11:18,208","0:11:18,433" +388,You must be a little uncomfortable.,Dr. Long,neutral,neutral,32,4,8,22,"00:11:18,541","00:11:20,042" +389,"Eh, just a tad.",Rachel,neutral,neutral,32,5,8,22,"00:11:20,209","00:11:22,837" +390,"You’re about 80 percent effaced, so you’re on your way.",Dr. Long,neutral,neutral,32,6,8,22,"0:11:23,712","0:11:26,524" +391,It still could last a little while longer.,Dr. Long,neutral,neutral,32,7,8,22,"0:11:26,524","0:11:28,769" +392,If you’re anxious there are a few ways to help things along.,Dr. Long,neutral,neutral,32,8,8,22,"00:11:23,712","00:11:34,056" +393,Do them!!,Ross,anger,negative,32,9,8,22,"00:11:28,968","00:11:34,056" +394,"Actually, they’re things you can do. Just some home remedies, but in my experience I’ve found that some of them are quite effective.",Dr. Long,neutral,neutral,32,10,8,22,"00:11:35,015","00:11:42,857" +395,"Well, we are ready to try anything.",Rachel,neutral,neutral,32,11,8,22,"0:11:43,023","0:11:45,155" +396,"Okay, there’s an herbal tea you can drink.",Dr. Long,neutral,neutral,32,12,8,22,"0:11:45,155","0:11:48,123" +397,Okay.,Rachel,neutral,neutral,32,13,8,22,"00:11:48,237","00:11:49,280" +398,What is wrong with Emma?,Chandler,sadness,negative,33,0,9,2,"00:13:18,339","00:13:20,507" +399,"Oh she misunderstood, she thought she was moving to Tulsa.",Monica,neutral,neutral,33,1,9,2,"00:13:18,339","00:13:22,634" +400,Anytime you're ready.,Carol,neutral,neutral,34,0,1,9,"00:14:17,565","00:14:18,940" +401,"Ok, ok, here we go.",Ross,neutral,neutral,34,1,1,9,"00:14:19,942","00:14:23,987" +402,"Ok, where am I talking to, here?",Ross,neutral,neutral,34,2,1,9,"00:14:28,409","00:14:32,453" +403,"I mean, uh, well, there is one way that seems to offer a certain acoustical advantage, but...",Ross,neutral,neutral,34,3,1,9,"00:14:32,621","00:14:37,417" +404,Just aim for the bump.,Carol,neutral,neutral,34,4,1,9,"00:14:38,335","00:14:39,961" +405,"Ok, ok, ok, ok, here goes.",Ross,neutral,neutral,34,5,1,9,"00:14:41,130","00:14:47,093" +406,"You know, I, you know, can't do this.",Ross,fear,negative,34,6,1,9,"00:14:54,101","00:14:56,853" +407,"Uh, this is too weird.",Ross,disgust,negative,34,7,1,9,"0:14:57,021","0:14:59,023" +408,I feel stupid.,Ross,sadness,negative,34,8,1,9,"0:14:59,023","0:15:00,168" +409,"So don't do it, it's fine. You don't have to do it just because Susan does it.",Carol,neutral,neutral,34,9,1,9,"00:15:01,108","00:15:05,904" +410,"Hello, baby. Hello, hello.",Ross,joy,positive,34,10,1,9,"00:15:06,071","00:15:10,742" +412,"Oh, hi. It’s Mark.",Mark,neutral,neutral,35,0,3,12,"00:04:18,258","00:04:20,384" +418,Easy. Easy. You have to go to the hospital. Okay?,Ross,fear,negative,36,0,3,21,"00:15:26,342","00:15:30,345" +419,"Okay, I do.",Rachel,neutral,neutral,36,1,3,21,"0:15:30,512","0:15:31,324" +420,Okay.,Ross,neutral,neutral,36,2,3,21,"0:15:31,324","0:15:31,706" +421,I really do.,Rachel,neutral,neutral,36,3,3,21,"0:15:31,706","0:15:32,541" +422,"Okay, I’m gonna get your coat and then I’ll-I’ll put you in a cab.",Ross,neutral,neutral,36,4,3,21,"00:15:32,681","00:15:35,141" +423,"Okay. Oh wait, wait-wait, you’re not gonna come with me?",Rachel,sadness,negative,36,5,3,21,"00:15:35,309","00:15:37,135" +424,Of course I am. I just have to make a call.,Ross,surprise,positive,36,6,3,21,"00:15:40,856","00:15:45,109" +425,Okay.,Rachel,neutral,neutral,36,7,3,21,"0:15:45,319","0:15:46,154" +426,Okay?,Ross,neutral,neutral,36,8,3,21,"0:15:46,154","0:15:46,454" +427,Thank you. Oww!!!! God!,Rachel,surprise,negative,36,9,3,21,"00:15:46,570","00:15:53,368" +428,"What?! I wh-, what’s wrong?",Ross,fear,negative,36,10,3,21,"00:15:53,535","00:15:54,661" +429,"I’m sorry, I just can’t go to the hospital lookin’ like this.",Rachel,disgust,negative,36,11,3,21,"00:15:54,828","00:15:58,498" +430,"Pete Becker is circling the ring now. It looks like, he’s just trying to feel him out. Oh, Bruiser is just...",TV Announcer,neutral,neutral,37,0,3,24,"00:21:57,065","00:22:03,237" +431,"Run! Run you crazy, rich freak!",Chandler,fear,negative,37,1,3,24,"00:22:03,488","00:22:06,157" +432,"Oh, I can’t watch this.",Rachel,fear,negative,37,2,3,24,"00:22:07,826","00:22:09,076" +433,"Check it out, he’s winning! Pete’s winning!",Joey,surprise,positive,37,3,3,24,"00:22:09,369","00:22:10,995" +434,Really?!,Monica,surprise,positive,37,4,3,24,"0:22:11,246","0:22:12,838" +435,No-o-o!!,Joey,fear,negative,37,5,3,24,"0:22:12,838","0:22:13,295" +436,"Uh-oh, Bruiser has Becker on the canvas and is going for his favourite area.",TV Announcer,fear,negative,37,6,3,24,"00:22:15,751","00:22:20,171" +437,Oh! Oh!,All,disgust,negative,37,7,3,24,"00:22:20,422","00:22:21,672" +438,"Wait, if that’s his favourite area, why is he being so mean to it?",Phoebe,surprise,negative,37,8,3,24,"00:22:21,961","00:22:25,926" +439,"Well, this is ironic.",Ross,surprise,negative,37,9,3,24,"00:22:26,595","00:22:27,845" +440,"Of your last two boyfriends, Richard didn’t want to have kids, and from the looks of it, now Pete can’t.",Ross,neutral,neutral,37,10,3,24,"00:22:28,096","00:22:33,601" +441,"Dude, you don’t have to brag! We got nothing here!!",Joey,anger,negative,38,0,4,2,"00:21:29,705","00:21:33,165" +442,Should we tell Rachel there’s an empty private room right next door to hers?,Chandler,neutral,neutral,39,0,8,24,"00:01:07,013","00:01:10,808" +443,"We could, or we can have sex in it.",Monica,joy,positive,39,1,8,24,"00:01:11,851","00:01:15,104" +444,"Well let me think about that, while I remove my pants!",Chandler,joy,positive,39,2,8,24,"00:01:16,439","00:01:19,484" +445,I thought I was a complete idiot.,Rachel,surprise,positive,40,0,8,5,"00:06:37,605","00:06:40,857" +446,"Hey, I’m with you. He even asked me if I thought you’d go out with him.",Joey,neutral,neutral,40,1,8,5,"00:06:37,605","00:06:45,570" +447,"Oh! Oh, I think I’m gonna throw up a little bit. What did you say?",Rachel,disgust,negative,40,2,8,5,"00:06:45,822","00:06:50,575" +448,I said no.,Joey,neutral,neutral,40,3,8,5,"0:06:48,366","0:06:50,008" +449,What?!,Rachel,surprise,positive,40,4,8,5,"0:06:50,008","0:06:50,628" +450,What? I…I just figured since you’re pregnant you’re not gonna be seeing people.,Joey,surprise,negative,40,5,8,5,"00:06:50,743","00:06:56,706" +451,"Okay Joey, first of all Kash Ford is not people. Second of all, what did he say when you told him I was pregnant?",Rachel,anger,negative,40,6,8,5,"00:06:56,874","00:06:58,750" +452,I didn’t tell him. I didn’t know if you were telling people. This is back when I thought Kash was still people.,Joey,neutral,neutral,40,7,8,5,"00:07:06,551","00:07:12,431" +453,"Good-good, don’t tell him. Don’t tell him. Just have him call me okay?",Rachel,fear,negative,40,8,8,5,"0:07:12,598","0:07:14,851" +454,"Rach look, I really don’t think that’s such a great",Joey,sadness,negative,40,9,8,5,"0:07:14,851","0:07:16,450" +455,"Okay, you go do it! I’ll come back to that set! I’ll meet more actors! I’ll meet ‘em all!",Rachel,joy,positive,40,10,8,5,"00:07:16,561","00:07:21,273" +456,"Ohh, here you are. I was looking for you before. Joshua’s gone so you and Emily are free to go.",Rachel,neutral,neutral,41,0,4,16,"00:18:06,543","00:18:12,548" +457,That’s okay.,Ross,neutral,neutral,41,1,4,16,"00:18:12,966","00:18:14,467" +458,"She’s still in there enjoying her fake party and uh, it’s too late to do any of the things I had planned, so",Ross,neutral,neutral,41,2,4,16,"00:18:14,927","00:18:21,808" +459,Ah! Ah! I forgot my jacket!,Ross,anger,negative,42,0,5,1,"00:21:09,768","00:21:11,769" +461,You tell them to wait!,Ross,anger,negative,42,1,5,1,"00:21:11,937","00:21:14,230" +462,Okay. Wait! Wait!,Rachel,neutral,neutral,42,2,5,1,"00:21:13,230","00:21:16,482" +463,Emily.,Ross,neutral,neutral,42,3,5,1,"00:21:21,154","00:21:23,155" +464,Oh no-no-no! Oh-no! No! No! Emily!,Ross,anger,negative,42,4,5,1,"00:21:28,036","00:21:34,709" +465,Hey. Call me when you get there. Okay?,Monica,neutral,neutral,43,0,6,6,"00:19:41,346","00:19:43,431" +466,Okay.,Rachel,neutral,neutral,43,1,6,6,"00:19:42,431","00:19:43,431" +467,I know. You're the guy who wouldn't chip in for the handyman.,The Hot Girl,sadness,negative,44,0,5,17,"00:13:12,416","00:13:15,835" +468,Nevermind!,Ross,anger,negative,44,1,5,17,"00:13:17,630","00:13:18,922" +469,"No, I-I actually thought it was unfair the way everyone reacted. I mean you had just moved in.",The Hot Girl,neutral,neutral,44,2,5,17,"00:13:19,757","00:13:25,637" +471,Jen.,The Hot Girl,neutral,neutral,44,3,5,17,"00:13:33,229","00:13:34,854" +472,"Jen, I know this may sound a little… But uh, would you maybe wanna grab a cup of coffee sometime, or",Ross,neutral,neutral,44,4,5,17,"00:13:33,229","00:13:44,239" +473,Sure! That would be nice.,Jen,joy,positive,44,5,5,17,"00:13:45,366","00:13:47,116" +474,Umm?,Ross,neutral,neutral,44,6,5,17,"00:13:47,827","00:13:48,868" +475,Oh! My number is on there. Give me a call.,Jen,joy,positive,44,7,5,17,"00:13:49,537","00:13:52,622" +476,I will give you a call.,Ross,neutral,neutral,44,8,5,17,"00:13:52,832","00:13:54,916" +477,I'll see you later.,Jen,neutral,neutral,44,9,5,17,"0:13:55,084","0:13:56,046" +478,Okay!,Ross,joy,positive,44,10,5,17,"0:13:56,046","0:13:57,005" +479,I forgot my paper.,Jen,neutral,neutral,44,11,5,17,"00:14:02,132","00:14:04,259" +480,"Here we go. Okay, brace yourselves.",Chandler,neutral,neutral,45,0,3,17,"00:08:52,198","00:08:55,283" +481,What?,Monica,neutral,neutral,45,1,3,17,"00:08:53,658","00:08:55,283" +482,Okay.,Rachel,neutral,neutral,45,2,3,17,"0:08:56,827","0:08:57,389" +483,Ow!,Monica,surprise,positive,45,3,3,17,"0:08:57,389","0:08:58,641" +484,Aren’t you gonna go?,Phoebe,neutral,neutral,45,4,3,17,"0:09:04,961","0:09:05,733" +485,No. Thank you.,Rachel,neutral,neutral,45,5,3,17,"0:09:05,733","0:09:06,967" +486,"No, Rachel never pees in public restrooms.",Monica,neutral,neutral,45,6,3,17,"00:09:07,129","00:09:09,839" +487,"Well, they never have any paper in there y'know. So my rule is ‘no tissue, no tuschy.’ Well, if everybody’s going.",Rachel,neutral,neutral,45,7,3,17,"00:09:10,591","00:09:24,479" +488,"No, y'know what don’t close it ‘cause the... keys...are in there.",Phoebe,neutral,neutral,45,8,3,17,"00:09:25,606","00:09:27,983" +489,"Oh, no-no-no-no-no-no!!",Chandler,fear,negative,45,9,3,17,"00:09:28,192","00:09:29,568" +490,What’s going on?,Joey,neutral,neutral,45,10,3,17,"0:09:30,152","0:09:30,820" +491,My lighter’s in there!,Chandler,fear,negative,45,11,3,17,"0:09:30,820","0:09:32,729" +492,I promise.,Rachel,neutral,neutral,46,0,3,8,"00:02:31,442","00:02:32,484" +493,"Although, don’t feel like you can’t visit.",Phoebe,neutral,neutral,46,1,3,8,"00:02:32,652","00:02:34,570" +494,"Hey, is, is, is Chandler here?",Joey,neutral,neutral,46,2,3,8,"00:02:37,240","00:02:39,700" +495,"No, no he’s not.",Ross,neutral,neutral,46,3,3,8,"00:02:41,119","00:02:42,452" +496,"You guys, Joey just saw Janice kissing her ex-husband.",Monica,surprise,negative,46,4,3,8,"00:02:43,955","00:02:48,584" +497,"What? So what are you going to do? I mean how, how are you going to tell Chandler?",Ross,surprise,negative,46,5,3,8,"00:02:48,793","00:02:53,213" +498,"Well, I was thinking about that and I, I think the best way would be, to not.",Joey,neutral,neutral,46,6,3,8,"00:02:53,381","00:02:57,843" +499,"Joey, you can’t keep this to yourself, if you know about this, you have to tell him.",Rachel,neutral,neutral,46,7,3,8,"00:02:58,761","00:03:02,214" +500,"It’ll kill him. I mean it’ll, it’ll just kill him.",Joey,fear,negative,46,8,3,8,"00:03:02,182","00:03:04,474" +501,"Well, you could wait ‘til I go to the dentist, maybe",Phoebe,neutral,neutral,46,9,3,8,"00:03:04,642","00:03:07,519" +504,"Hey, what are you doing here?",Carol,neutral,neutral,47,0,3,17,"00:12:05,599","00:12:07,642" +505,"Well, oh just ah, I was just wondering, when you and I split up, did you get the tape that was half the last episode of",Ross,neutral,neutral,47,1,3,17,"00:12:07,893","00:12:14,524" +506,"Ah yeah, but now it’s Susan and me in Mexico and the hostages coming home.",Carol,neutral,neutral,47,2,3,17,"00:12:18,362","00:12:22,031" +507,Where’s Ben?,Ross,neutral,neutral,47,3,3,17,"00:12:22,491","00:12:23,533" +508,He’s sleeping.,Carol,neutral,neutral,47,4,3,17,"00:12:23,743","00:12:24,993" +509,"Ahh. Ooh, is this a ah, is this a bad time?",Ross,surprise,positive,47,5,3,17,"00:12:24,000","00:12:29,122" +510,"Umm, yeah, actually, Susan’s gonna be home any minute, it’s kinda an anniversary.",Carol,joy,positive,47,6,3,17,"00:12:29,373","00:12:34,544" +511,"Oh! I thought you guys got married in uh, January?",Ross,surprise,negative,47,7,3,17,"00:12:34,712","00:12:37,172" +512,It’s not that kind of anniversary.,Carol,neutral,neutral,47,8,3,17,"00:12:37,381","00:12:39,090" +513,Ah! Oh.,Ross,surprise,negative,47,9,3,17,"00:12:39,300","00:12:42,242" +514,Sooo!! Anyway...,Carol,neutral,neutral,47,10,3,17,"00:12:42,939","00:12:45,638" +515,Where are we gonna find a tiny little hat?,Monica,neutral,neutral,48,0,3,8,"00:06:08,284","00:06:13,121" +516,"Oh, oh, oh, I’ll get ‘Rainy Day Bear’!!",Rachel,joy,positive,48,1,3,8,"00:06:13,289","00:06:14,956" +517,"Because he’ll know what to do? Oh my God, you’re a genius!",Monica,joy,positive,48,2,3,8,"00:06:15,124","00:06:19,378" +518,"Oh God, oh God, it’s sowed on though.",Rachel,fear,negative,48,3,3,8,"00:06:19,545","00:06:21,463" +519,Give it. Give it.,Monica,neutral,neutral,48,4,3,8,"00:06:21,631","00:06:23,090" +520,Okay.,Rachel,neutral,neutral,48,5,3,8,"00:06:22,090","00:06:23,090" +521,Oh!!,Monica and Rachel,surprise,negative,48,6,3,8,"00:06:23,466","00:06:24,674" +522,"Oh, it’s just like a bloodbath in here today.",Rachel,sadness,negative,48,7,3,8,"00:06:27,303","00:06:30,806" +523,Please. This is so your fault.,Ross,anger,negative,49,0,1,23,"0:09:14,804","0:09:18,446" +524,"How, how is this my fault?",Susan,surprise,negative,49,1,1,23,"0:09:18,446","0:09:18,602" +525,"Look, Carol never threw me out of a room before you came along.",Ross,anger,negative,49,2,1,23,"00:09:18,724","00:09:21,685" +526,"Yeah? Well, there's a lot of things Carol never did before I came along.",Susan,anger,negative,49,3,1,23,"00:09:21,894","00:09:25,480" +531,"Hey, hey, ok, all right, that's it!",Phoebe,anger,negative,49,6,1,23,"00:09:29,735","00:09:33,947" +532,Get in here.,Phoebe,anger,negative,49,7,1,23,"00:09:32,947","00:09:34,447" +533,Come on.,Phoebe,neutral,neutral,49,8,1,23,"00:09:33,447","00:09:34,447" +534,"My god, you guys, I don't believe you.",Phoebe,anger,negative,49,9,1,23,"00:09:34,615","00:09:38,410" +535,There are children coming into the world in this very building and your negative fighting noises are not the first thing they should be hearing.,Phoebe,anger,negative,49,10,1,23,"00:09:38,578","00:09:45,458" +536,"So just stop all the yelling, just stop it!",Phoebe,anger,negative,49,11,1,23,"00:09:45,626","00:09:48,086" +537,"Yeah, Susan.",Ross,neutral,neutral,49,12,1,23,"00:09:48,296","00:09:50,714" +538,"Don't make me do this again, I don't like my voice like this.",Phoebe,anger,negative,49,13,1,23,"00:09:50,881","00:09:54,593" +539,"Ok, who wants to hear something ironic?",Phoebe,neutral,neutral,49,14,1,23,"00:09:59,807","00:10:02,225" +540,"Oh! Here it is! Ooh, Joey! Why did you sign it, ""Son of a bitch?""",Phoebe,surprise,negative,50,0,6,22,"00:16:55,597","00:17:00,101" +541,I didn’t do that! Who would’ve done that?!,Joey,surprise,negative,50,1,6,22,"0:17:03,439","0:17:05,671" +542,Son of a bitch!,The Dry Cleaner,anger,negative,50,2,6,22,"0:17:05,671","0:17:06,747" +543,"Okay, maybe ask this guy.",Phoebe,neutral,neutral,50,3,6,22,"00:17:07,317","00:17:09,527" +544,"Oh, did I not mention? Carl is a guy I hired to be my identical twin for a medical research project.",Joey,neutral,neutral,51,0,6,17,"00:14:57,062","00:15:05,153" +545,"Y’know sometimes the good ideas are just right in front of you, aren’t they?",Chandler,joy,positive,51,1,6,17,"00:15:07,907","00:15:11,618" +546,"Okay, I know it sounds crazy, but I think it might work. Y’know? The only problem is, Carl’s acting is",Joey,neutral,neutral,51,2,6,17,"00:15:11,785","00:15:16,998" +547,The,Monica,neutral,neutral,51,3,6,17,"00:15:17,166","00:15:19,417" +548,"Yeah, he’s the reason I didn’t get that big",Joey,neutral,neutral,51,4,6,17,"00:15:20,169","00:15:23,963" +549,"Hey, uh can I get a little piece of that cake?",Carl,neutral,neutral,51,5,6,17,"00:15:27,217","00:15:29,844" +550,Pizza!! We like Pizza!! Get out!!!,Joey,anger,negative,51,6,6,17,"00:15:30,054","00:15:33,014" +551,"Hey Monica, there’s a customer who wants to complement the chef, should I let him in?",Waitress,neutral,neutral,52,0,6,24,"00:20:36,109","00:20:39,528" +552,"Sure, I love this part!",Monica,joy,positive,52,1,6,24,"00:20:39,696","00:20:42,073" +553,Come on in.,Waitress,neutral,neutral,52,2,6,24,"00:20:42,741","00:20:45,159" +554,"Really? In the moment, I really wanted to kiss you too. In the moment.",Joey,joy,positive,53,0,6,10,"00:19:45,559","00:19:52,440" +555,"In the moment, yeah.",Janine,neutral,neutral,53,1,6,10,"00:19:52,983","00:19:54,000" +556,But only in the moment. So do ya wanna kiss again?,Joey,joy,positive,53,2,6,10,"00:19:53,983","00:20:01,616" +557,"Sure, New Year’s Eve is only two weeks away. Can you wait?",Janine,neutral,neutral,53,3,6,10,"00:20:02,451","00:20:06,996" +558,No.,Joey,neutral,neutral,53,4,6,10,"00:20:07,456","00:20:08,873" +559,Me neither.,Janine,neutral,neutral,53,5,6,10,"00:20:10,751","00:20:11,959" +560,"3, 2,",Joey,neutral,neutral,53,6,6,10,"00:20:15,088","00:20:17,024" +561,"Joey, you don’t have to count down every time we kiss.",Janine,joy,positive,53,7,6,10,"00:20:18,175","00:20:20,468" +562,"Uh, yeah, okay. Except I sorta felt like I needed a couple of seconds to get ready.",Joey,joy,positive,53,8,6,10,"00:20:20,719","00:20:28,684" +565,Alright. Phoebe?,Monica,neutral,neutral,54,0,1,4,"0:00:03,420","0:00:04,382" +566,"Okay, okay.",Phoebe,neutral,neutral,54,1,1,4,"0:00:04,382","0:00:05,298" +567,"If I were omnipotent for a day, I would want, um, world peace, no more hunger, good things for the rain-forest...And bigger boobs!",Phoebe,joy,positive,54,2,1,4,"00:00:05,422","00:00:15,556" +568,"Yeah, see.. you took mine. Chandler, what about you?",Ross,neutral,neutral,54,3,1,4,"00:00:17,100","00:00:22,438" +569,"Uh, if I were omnipotent for a day, I'd.. make myself omnipotent forever.",Chandler,neutral,neutral,54,4,1,4,"00:00:22,605","00:00:26,025" +570,"See, there's always one guy. ""If I had a wish, I'd wish for three more wishes.""",Rachel,disgust,negative,54,5,1,4,"00:00:26,234","00:00:31,405" +571,"Hey Joey. Hi. Hey, buddy.",All,neutral,neutral,54,6,1,4,"00:00:34,075","00:00:35,534" +572,"Hey, Joey, what would you do if you were omnipotent?",Monica,neutral,neutral,54,7,1,4,"00:00:35,702","00:00:37,828" +573,Probably kill myself!,Joey,sadness,negative,54,8,1,4,"00:00:38,538","00:00:40,831" +574,..Excuse me?,Monica,surprise,positive,54,9,1,4,"00:00:41,791","00:00:43,250" +575,"Hey, if Little Joey's dead, then I got no reason to live!",Joey,sadness,negative,54,10,1,4,"00:00:43,418","00:00:47,087" +576,"Joey, uh-",Ross,surprise,positive,54,11,1,4,"00:00:49,090","00:00:51,383" +577,You,Joey,neutral,neutral,54,12,1,4,"00:00:53,094","00:00:55,054" +578,I’m sorry.,Kate,sadness,negative,55,0,6,1,"00:03:46,100","00:03:48,769" +579,"Joey, onstage!",Stage Manager,anger,negative,56,0,3,22,"00:19:48,103","00:19:50,354" +580,Well can you at least stay to the end of the play?,Joey,sadness,negative,56,1,3,22,"00:19:51,106","00:19:53,274" +581,"I mean, I’ll go to the airport with ya, I-I wanna say good bye.",Joey,sadness,negative,56,2,3,22,"00:19:53,442","00:19:56,227" +582,Where are you Vic?,Lauren,neutral,neutral,56,3,3,22,"00:19:56,445","00:19:58,362" +583,Flight’s in an hour. I-I gotta go.,Kate,sadness,negative,56,4,3,22,"00:19:58,530","00:20:00,698" +584,Vic! Vic!,Lauren,anger,negative,56,5,3,22,"00:20:00,866","00:20:02,325" +585,In a minute!!,Joey,anger,negative,56,6,3,22,"00:20:05,454","00:20:07,455" +586,So this is it? Victor?,Lauren,sadness,negative,56,7,3,22,"00:20:09,583","00:20:11,959" +587,"Yeah, I guess it is.",Joey,sadness,negative,56,8,3,22,"00:20:12,794","00:20:15,755" +588,"Listen, I ah, I gotta say good bye, and-and I gotta say it quick ‘cause this is killing me.",Joey,sadness,negative,56,9,3,22,"00:20:21,970","00:20:28,643" +589,"One thing you gotta know, is that I will never forget you.",Joey,sadness,negative,56,10,3,22,"00:20:29,311","00:20:33,898" +590,"But, you’ve got things you have to do now, and so do I.",Joey,sadness,negative,56,11,3,22,"00:20:34,149","00:20:39,320" +591,"And so… I’m gonna get on this spaceship, and I’m gonna go to Blargon 7 in search of alternative fuels.",Joey,sadness,negative,56,12,3,22,"00:20:40,989","00:20:57,797" +592,"But when I return, 200 years from now, you’ll be long gone.",Joey,sadness,negative,56,13,3,22,"00:20:59,508","00:21:05,471" +593,But I won’t have aged at all.,Joey,neutral,neutral,56,14,3,22,"00:21:06,098","00:21:08,557" +594,"So you tell your great-great-granddaughter to look me up, because Adrienne, baby, I’m gonna want to meet her.",Joey,neutral,neutral,56,15,3,22,"00:21:11,823","00:21:26,534" +595,"So long, Vic!",Lauren,sadness,negative,56,16,3,22,"00:21:34,293","00:21:36,585" +597,Nooo Way! The most romantic song ever is,Rachel,neutral,neutral,57,0,3,1,"00:01:14,616","00:01:18,994" +598,"See, I-I think that one that Elton John wrote for, um, that guy on",Phoebe,neutral,neutral,57,1,3,1,"00:01:19,162","00:01:24,333" +599,"What song was that, Pheebs?",Rachel,neutral,neutral,57,2,3,1,"00:01:26,336","00:01:28,295" +600,Hi Monica!,Phoebe,joy,positive,57,3,3,1,"00:01:36,513","00:01:37,846" +601,Hey Mon!,Ross,joy,positive,57,4,3,1,"0:01:38,014","0:01:38,807" +602,Hey Mon!,Rachel,joy,positive,57,5,3,1,"0:01:38,807","0:01:39,754" +603,"Oh my God, has she slept at all?",Phoebe,surprise,negative,57,6,3,1,"00:01:41,559","00:01:44,978" +604,Nope.,Ross,neutral,neutral,57,7,3,1,"00:01:43,144","00:01:44,978" +605,"No, it's been three nights in a row.",Rachel,neutral,neutral,57,8,3,1,"00:01:45,146","00:01:47,064" +606,"Yeah, she finally stopped crying yesterday, but then she found one of Richard's cigar butts out on the terrace, so.",Ross,neutral,neutral,57,9,3,1,"00:01:47,232","00:01:52,361" +607,"Oh, okay that explains it.",Phoebe,neutral,neutral,57,10,3,1,"00:01:52,529","00:01:56,949" +608,"I got a call at two in the morning, but all I could hear was, like, this high squeaky sound, so I thought okay its like a mouse or a opossum.",Phoebe,neutral,neutral,57,11,3,1,"00:01:52,529","00:02:02,204" +609,But then I realized where would a mouse or a opossum get the money to make the phone call.,Phoebe,joy,positive,57,12,3,1,"00:02:03,873","00:02:11,421" +610,"So uh, man, are you gonna go to the play with me tonight?",Chandler,neutral,neutral,58,0,4,13,"00:05:01,050","00:05:03,552" +611,"Y’know what, I don’t know how comfortable I am going to see how hot the sex is between some guy and your girlfriend.",Ross,disgust,negative,58,1,4,13,"00:05:03,720","00:05:09,558" +612,"Yeah, I know but",Chandler,neutral,neutral,58,2,4,13,"0:05:10,143","0:05:11,575" +613,"Oh no-no-no, I’m there.",Ross,neutral,neutral,58,3,4,13,"0:05:11,575","0:05:12,320" +614,Hey!,Monica,surprise,positive,58,4,4,13,"00:05:14,731","00:05:15,814" +615,Hey Mon! Want some pancakes?,Joey,joy,positive,58,5,4,13,"00:05:14,731","00:05:18,150" +616,You made pancakes?,Monica,surprise,positive,58,6,4,13,"00:05:15,982","00:05:18,150" +617,Yep! Grab a plate.,Joey,joy,positive,58,7,4,13,"00:05:18,318","00:05:20,110" +619,"No-no, stay right there. Gettin’ closer.",Joey,neutral,neutral,58,8,4,13,"00:05:21,988","00:05:27,784" +620,"Okay, okay, but don’t worry, because we also have cereals, muffins, waffles,",Chandler,neutral,neutral,58,9,4,13,"00:05:29,537","00:05:33,749" +621,"Listen also we’re uh, we’re watching the game here Saturday night, if people want to come over.",Joey,neutral,neutral,58,10,4,13,"00:05:39,589","00:05:42,674" +622,Oh yeah!,Ross,joy,positive,58,11,4,13,"00:05:42,842","00:05:43,925" +623,"Yes, if the foxhole was lined with sandwiches.",Chandler,neutral,neutral,59,0,5,20,"00:21:42,592","00:21:45,344" +624,"Yeah, hero sandwiches.",Joey,neutral,neutral,59,1,5,20,"00:21:46,638","00:21:48,848" +625,Well you all know that I'm a pacifist so I'm not interested in war in any way.,Phoebe,neutral,neutral,59,2,5,20,"00:21:51,310","00:21:55,813" +627,"When the revolution comes, I will have to destroy you all.",Phoebe,neutral,neutral,59,3,5,20,"00:21:56,064","00:21:59,358" +628,Not you Joey.,Phoebe,neutral,neutral,59,4,5,20,"00:22:00,569","00:22:01,861" +629,Oh my good God.,Chandler,surprise,positive,60,0,6,17,"00:17:15,534","00:17:18,036" +630,"Hey! Continuing the countdown of your favorite meals. Tonight, No. 3, macaroni and cheese with cut up hot dogs.",Monica,neutral,neutral,60,1,6,17,"00:17:18,871","00:17:30,798" +631,"Look, you have done enough! Okay? You have to stop this now.",Chandler,anger,negative,60,2,6,17,"00:17:32,551","00:17:36,012" +632,"I will! But not tonight. For dinner music, I thought we could listen to that tape you made me.",Monica,joy,positive,60,3,6,17,"00:17:36,180","00:17:42,560" +633,"Oh, the mixed tape.",Chandler,neutral,neutral,60,4,6,17,"00:17:42,728","00:17:44,520" +634,The Way You Look Tonight,Monica,joy,positive,60,5,6,17,"00:17:45,731","00:17:48,107" +635,You are just the sweetest.,Monica,joy,positive,60,6,6,17,"00:18:16,136","00:18:19,055" +637,Hey!,Monica,joy,positive,61,0,3,21,"0:12:46,891","0:12:47,225" +638,Hey!,Phoebe,joy,positive,61,1,3,21,"0:12:47,225","0:12:48,632" +639,"Hey, guess what I’m doing tonight.",Monica,neutral,neutral,61,2,3,21,"00:12:48,726","00:12:50,393" +640,What?,Phoebe,neutral,neutral,61,3,3,21,"00:12:49,393","00:12:50,393" +641,I’m checking out the restaurant with Pete.,Monica,neutral,neutral,61,4,3,21,"00:12:50,603","00:12:52,562" +642,"Ohh, Monica, I am so excited for you.",Phoebe,joy,positive,61,5,3,21,"00:12:52,730","00:12:56,232" +644,"So honey this uh, this threesome thing umm, I mean how-how are you gonna start to find",Ross,neutral,neutral,62,0,6,16,"00:00:50,924","00:00:59,058" +645,"Ooh, actually I’ve been making a list of all the women I know who might be into doing this!",Carol,joy,positive,62,1,6,16,"00:00:59,309","00:01:03,020" +646,"Oh. Wow! Huh. Boy! Well, someone’s been doing their homework.",Ross,surprise,positive,62,2,6,16,"00:01:05,090","00:01:18,285" +647,"Yeah. Ooh, and I know Gail Rosten is in there twice, but she is so",Carol,neutral,neutral,62,3,6,16,"00:01:18,661","00:01:22,926" +648,"Oh, I know. Y’know, just-just talking about it is getting me kinda",Ross,neutral,neutral,62,4,6,16,"00:01:23,124","00:01:30,964" +649,"Oh, me too.",Carol,neutral,neutral,62,5,6,16,"00:01:31,132","00:01:33,258" +650,"and then, we could’ve gone from the ceremony to the reception with you in the sidecar!",Ross,joy,positive,63,0,8,18,"00:19:36,622","00:19:42,794" +651,"Ross, it just wouldn’t have been feasible.",Rachel,neutral,neutral,63,1,8,18,"00:19:43,003","00:19:44,838" +652,But having a dove place the ring on your finger would’ve been no problem?,Ross,anger,negative,63,2,8,18,"00:19:45,088","00:19:49,593" +653,It was really fun being married to you tonight.,Rachel,joy,positive,63,3,8,18,"00:19:52,137","00:19:54,056" +654,"Yeah! And! And, it was the easiest 400 bucks I’ve ever made.",Ross,joy,positive,63,4,8,18,"00:19:54,222","00:19:57,351" +655,"Okay Ross, can I uh, can I ask you something?",Rachel,sadness,negative,63,5,8,18,"0:19:58,935","0:20:01,747" +656,Yeah.,Ross,neutral,neutral,63,6,8,18,"0:20:01,747","0:20:02,499" +657,"That proposal, at the planetarium",Rachel,neutral,neutral,63,7,8,18,"0:20:02,689","0:20:04,951" +658,"I know, I know it was stupid.",Ross,sadness,negative,63,8,8,18,"0:20:04,951","0:20:07,383" +659,Are you kidding?!,Rachel,surprise,positive,63,9,8,18,"0:20:07,527","0:20:08,278" +660,"With the, with the lilies, and-and the song, and the stars!",Rachel,joy,positive,63,10,8,18,"0:20:08,278","0:20:13,534" +661,It was…really wonderful!,Rachel,joy,positive,63,11,8,18,"0:20:13,617","0:20:16,959" +662,Did you just make that up?,Rachel,surprise,positive,63,12,8,18,"0:20:16,959","0:20:18,759" +663,"No, actually I thought about it when, when we were going out.",Ross,neutral,neutral,63,13,8,18,"00:20:19,039","00:20:22,167" +664,"It’s how I imagined I uh, I would ask you to marry me.",Ross,neutral,neutral,63,14,8,18,"00:20:22,376","00:20:27,130" +665,"Well, that would’ve been very hard to say no too.",Rachel,neutral,neutral,63,15,8,18,"00:20:30,550","00:20:35,055" +666,"It’s a good thing I didn’t do it, because it sounds like it would’ve been a very expensive wedding. Okay, good night",Ross,neutral,neutral,63,16,8,18,"00:20:38,016","00:20:53,407" +667,Goodnight,Rachel,neutral,neutral,63,17,8,18,"00:20:52,407","00:20:53,407" +668,Even if the sidecar had a windscreen so your hair wouldn’t get messed up?,Ross,neutral,neutral,63,18,8,18,"00:20:55,909","00:21:00,664" +669,I will think about it.,Rachel,neutral,neutral,63,19,8,18,"0:21:00,872","0:21:01,754" +670,That’s all I’m askin’,Ross,neutral,neutral,63,20,8,18,"0:21:01,754","0:21:04,265" +671,"You guys! It was bananas, cream, and beef! I-I just cannot believe that you ate that so that I wouldn’t feel bad!",Rachel,surprise,positive,64,0,6,9,"00:22:05,365","00:22:14,623" +672,"Well actually, I-I didn’t eat mine. It’s still in the bathroom.",Monica,joy,positive,64,1,6,9,"00:22:14,833","00:22:18,085" +673,"No it isn’t, I ate that.",Joey,neutral,neutral,64,2,6,9,"00:22:18,295","00:22:19,295" +674,Well we left ours in Monica’s bedroom.,Mrs. Geller,neutral,neutral,64,3,6,9,"00:22:22,049","00:22:24,133" +675,"Nope, got it and I got yours too.",Joey,neutral,neutral,64,4,6,9,"00:22:24,343","00:22:26,635" +677,And that’s I’m so glad… there’s no problem.,Rachel,joy,positive,65,0,4,9,"00:04:17,006","00:04:19,216" +678,"That’s fine, actually I’m on the hiring committee, so there’ll be at least one friendly face.",Joanna,neutral,neutral,65,1,4,9,"00:04:19,842","00:04:23,845" +679,Ohh! That’s great!,Rachel,joy,positive,65,2,4,9,"00:04:24,013","00:04:25,430" +680,"You know, Junior Miss is where I started. Oh, I had to sleep with the",Joanna,neutral,neutral,65,3,4,9,"00:04:25,598","00:04:31,603" +681,Really?!,Rachel,surprise,positive,65,4,4,9,"0:04:32,689","0:04:33,541" +682,No-ho-ho!,Joanna,joy,positive,65,5,4,9,"0:04:33,541","0:04:36,295" +683,Yeah.,Joanna,neutral,neutral,65,6,4,9,"00:04:36,401","00:04:37,985" +684,"I mean, no-no-no-no-no, don’t you worry, I’m sure with your qualifications you won’t need to sleep with some guy to get that job.",Joanna,neutral,neutral,65,7,4,9,"00:04:38,987","00:04:45,200" +685,"Although, I might need some convincing.",Joanna,neutral,neutral,65,8,4,9,"00:04:46,577","00:04:48,704" +686,"Well, I, umm",Rachel,fear,negative,65,9,4,9,"00:04:50,873","00:04:51,873" +687,"Kidding! God, I feel wild today!",Joanna,joy,positive,65,10,4,9,"00:04:51,873","00:04:57,254" +688,Oh my God! Chandler just left though!,Phoebe,surprise,negative,66,0,7,23,"00:14:35,291","00:14:38,334" +689,"Yeah but, maybe it’s not what we think. Maybe it’s tell Monica I’m sorry I…drank the last of the milk.",Rachel,neutral,neutral,66,1,7,23,"00:14:38,586","00:14:45,216" +690,"Or maybe he-he was writing to tell her that-that he’s changed his name, y’know? Tell Monica I’m sorry.",Phoebe,neutral,neutral,66,2,7,23,"00:14:45,676","00:14:54,048" +691,I think it means he freaked out and left!,Ross,surprise,negative,66,3,7,23,"00:14:56,020","00:15:01,065" +692,Don’t be so negative! Good God! Isn’t it possible that Sorry is sitting in there right now?!,Phoebe,anger,negative,66,4,7,23,"00:15:01,525","00:15:06,905" +693,"Okay. Phoebe, I-I think Ross is right. What are we gonna do?",Rachel,sadness,negative,66,5,7,23,"00:15:08,032","00:15:12,035" +694,"Look—Okay, I’m just gonna—I’m gonna have to go find him and bring him back!",Ross,neutral,neutral,66,6,7,23,"00:15:12,369","00:15:15,872" +695,Okay?,Ross,neutral,neutral,66,7,7,23,"0:15:16,081","0:15:16,503" +696,"You-you make sure Monica does not find out, okay?",Ross,neutral,neutral,66,8,7,23,"0:15:16,503","0:15:19,673" +699,"I will, I will find him.",Ross,neutral,neutral,66,11,7,23,"00:15:29,345","00:15:31,179" +700,Hey!,Rachel,joy,positive,67,0,6,19,"0:01:59,953","0:02:01,205" +701,Hi! Hey!,All,joy,positive,67,1,6,19,"0:02:01,205","0:02:01,361" +702,Do you guys know any cute guys?,Rachel,neutral,neutral,67,2,6,19,"00:02:01,454","00:02:04,289" +703,"Well, of course I do! My good friend Joey over here.",Chandler,joy,positive,67,3,6,19,"00:02:04,457","00:02:07,417" +704,"Oh, I’m sorry. Thank you Chandler.",Joey,joy,positive,67,4,6,19,"00:02:10,839","00:02:14,299" +705,"Anyway, there’s this big charity ball this weekend and Ralph Lauren bought a table, so I kinda have to go",Rachel,neutral,neutral,67,5,6,19,"00:02:15,635","00:02:21,056" +706,What’s the charity?,Monica,neutral,neutral,67,6,6,19,"00:02:21,224","00:02:22,350" +707,"I don’t know, something either trees or disease—Ralph mumbles a lot.",Rachel,neutral,neutral,67,7,6,19,"00:02:22,000","00:02:30,899" +708,Does Ralph mumble when you’re not paying attention?,Monica,neutral,neutral,67,8,6,19,"00:02:27,772","00:02:34,528" +709,Yeah! It’s weird. But the thing is need to find a date.,Rachel,surprise,positive,67,9,6,19,"00:02:31,067","00:02:37,573" +710,"Well, what kind of guy are you looking for?",Phoebe,neutral,neutral,67,10,6,19,"00:02:37,740","00:02:39,408" +711,Hey!,Rachel,joy,positive,68,0,6,21,"00:02:18,012","00:02:19,054" +712,What are you guys doing later?,Ross,neutral,neutral,68,1,6,21,"00:02:19,222","00:02:20,973" +713,"Oh, Rachel and I have appointments to get our hair cut.",Phoebe,neutral,neutral,68,2,6,21,"00:02:21,141","00:02:23,475" +714,We do?,Rachel,surprise,negative,68,3,6,21,"0:02:24,102","0:02:24,404" +715,I want to see what he wants first.,Phoebe,neutral,neutral,68,4,6,21,"0:02:24,404","0:02:26,706" +717,I just found out that Elizabeth’s dad wants to meet me.,Ross,sadness,negative,68,5,6,21,"00:02:28,064","00:02:30,774" +718,"Wait a minute, hold the phone! You’re not Elizabeth’s dad?!",Chandler,surprise,positive,68,6,6,21,"00:02:30,942","00:02:35,070" +719,"Come on guys, I-I really want this guy to like me.",Ross,fear,negative,68,7,6,21,"00:02:38,449","00:02:40,742" +720,It-it would really help me out if you guys were here to make me look good.,Ross,sadness,negative,68,8,6,21,"00:02:40,910","00:02:45,831" +721,Of course we’ll help! Yeah! We’ll be here!,All,joy,positive,68,9,6,21,"00:02:43,663","00:02:47,541" +722,Thanks!,Ross,joy,positive,68,10,6,21,"00:02:45,999","00:02:47,541" +723,We know how tough those parent/teacher conferences can be.,Monica,neutral,neutral,68,11,6,21,"00:02:47,709","00:02:50,544" +724,"Oh, hi! How are you doing?",Rachel,joy,positive,69,0,7,8,"00:19:38,969","00:19:41,000" +725,I'm okay. I gotta go down to the police station and look at mug shots.,Tag,sadness,negative,69,1,7,8,"00:19:40,888","00:19:45,099" +727,"Thanks for having me over, you guys.",Tag,neutral,neutral,69,2,7,8,"0:19:45,309","0:19:46,728" +728,Tag?,Ross,neutral,neutral,69,3,7,8,"0:19:46,728","0:19:49,508" +730,Y-You're going?,Ross,joy,positive,69,4,7,8,"00:19:45,309","00:19:49,437" +731,"Uh we didn't, uh we didn't get the chance to talk.",Ross,neutral,neutral,69,5,7,8,"00:19:49,605","00:19:52,023" +732,"Uh, so, where did you say you're from again?",Ross,neutral,neutral,69,6,7,8,"00:19:52,274","00:19:54,650" +733,Colorado.,Tag,neutral,neutral,69,7,7,8,"0:19:54,860","0:19:55,672" +734,"Ah, what good are you.",Ross,neutral,neutral,69,8,7,8,"0:19:55,672","0:19:57,378" +735,"Look, um, I think we should talk about what happened on the terrace.",Rachel,neutral,neutral,69,9,7,8,"00:20:03,619","00:20:07,496" +736,Okay.,Tag,neutral,neutral,69,10,7,8,"00:20:07,706","00:20:09,081" +737,"Ah, I-I never should have said what I said.",Rachel,sadness,negative,69,11,7,8,"00:20:09,249","00:20:11,000" +738,It—y’know what?,Rachel,neutral,neutral,69,12,7,8,"0:20:11,168","0:20:11,920" +739,It just doesn't matter how I feel.,Rachel,sadness,negative,69,13,7,8,"0:20:11,920","0:20:13,260" +740,"I mean we work together, so nothing could really ever happen between us, and what I would love is just to go to work on Monday, and-and never talk about this again, okay?",Rachel,sadness,negative,69,14,7,8,"00:20:13,378","00:20:28,309" +741,"Um, I'm not.",Tag,neutral,neutral,69,15,7,8,"00:20:28,518","00:20:30,686" +742,"Oh, god, I knew it, that I freaked you out.",Rachel,sadness,negative,69,16,7,8,"00:20:30,896","00:20:34,232" +743,"No, you didn't. The only thing that freaked me out was you saying that nothing could ever happen between us.",Tag,sadness,negative,69,17,7,8,"00:20:32,232","00:20:38,694" +744,Really?,Rachel,surprise,positive,69,18,7,8,"00:20:39,738","00:20:41,000" +745,"Yeah, so, please don't fire me for doing this.",Tag,sadness,negative,69,19,7,8,"00:20:41,000","00:20:45,409" +746,"Get him! GET HIM! Get him! Get- YESSS! Not laughing now, are ya pal!",Ross,anger,negative,70,0,1,4,"00:12:16,944","00:12:23,575" +747,"See buddy, that's all you need, a bunch of toothless guys hitting each other with sticks.",Chandler,neutral,neutral,70,1,1,4,"00:12:23,743","00:12:27,370" +748,Pass it! Pass it!,Ross,joy,positive,70,2,1,4,"00:12:27,538","00:12:29,831" +749,He's open!,Chandler,joy,positive,70,3,1,4,"0:12:29,999","0:12:30,511" +750,Shoot! Shoot! Shoot!,All,joy,positive,70,4,1,4,"0:12:30,511","0:12:33,925" +751,"Hey, look, we're on that TV thing!",Chandler,surprise,positive,70,5,1,4,"00:12:39,842","00:12:43,178" +752,I am so psyched I kept this chair for myself!,Rachel,joy,positive,71,0,7,13,"00:13:07,620","00:13:11,331" +753,"Yeah, me too.",Joey,neutral,neutral,71,1,7,13,"00:13:15,169","00:13:17,253" +756,"Yeah? Wow! Y’know, that this thing has speakers in the headrest!",Rachel,surprise,positive,71,2,7,13,"00:13:19,715","00:13:23,218" +757,No. Really?,Joey,surprise,negative,71,3,7,13,"00:13:24,929","00:13:26,346" +758,Yeah! You can hook it up to your TV,Rachel,joy,positive,71,4,7,13,"00:13:26,514","00:13:29,015" +759,My chair heals itself.,Joey,neutral,neutral,71,5,7,13,"00:13:34,563","00:13:36,731" +760,"Tiger! Dragon! Iceberg!! Joseph, did you even study at all last night?",Phoebe,anger,negative,72,0,5,11,"00:10:55,738","00:11:03,578" +761,"Yes! Yes, I did.",Joey,sadness,negative,72,1,5,11,"0:11:03,746","0:11:05,373" +762,Then do Iceberg!,Phoebe,anger,negative,72,2,5,11,"0:11:05,373","0:11:06,557" +763,G-sharp.,Joey,neutral,neutral,72,3,5,11,"0:11:07,875","0:11:08,627" +764,G,Phoebe,neutral,neutral,72,4,5,11,"0:11:08,627","0:11:10,799" +765,What?! I didn't touch a guitar!,Joey,surprise,negative,72,5,5,11,"00:11:20,471","00:11:22,555" +766,"No, but you're questioning my method!",Phoebe,anger,negative,72,6,5,11,"00:11:22,273","00:11:24,432" +767,"No, I'm not questioning it, I'm saying it's stupid! What?!",Joey,anger,negative,72,7,5,11,"00:11:24,600","00:11:30,021" +768,Thank you.,Monica,neutral,neutral,72,8,5,11,"00:11:32,066","00:11:33,525" +769,Y'know none of my other student thought I was stupid.,Phoebe,anger,negative,72,9,5,11,"00:11:34,110","00:11:39,155" +770,"Your other student, was you!",Joey,anger,negative,72,10,5,11,"00:11:39,657","00:11:42,617" +771,"Yeah, well, y'know maybe you just need to try a little harder!",Phoebe,anger,negative,72,11,5,11,"00:11:43,911","00:11:47,914" +772,"Look, maybe I need to try a real teacher!",Joey,anger,negative,72,12,5,11,"00:11:48,082","00:11:49,833" +773,Right here!,Joey,anger,negative,72,13,5,11,"0:11:49,833","0:11:50,751" +774,Here!,Joey,anger,negative,72,14,5,11,"0:11:50,751","0:11:52,943" +775,"Andy Cooper, he teaches guitar and look ooh, there's a nice picture of him with a little kid and",Joey,neutral,neutral,72,15,5,11,"00:11:50,000","00:11:55,338" +776,Fine! You go learn from your qualified instructor! But don't come crying to me when everyone's sick and tired of hearing you play,Phoebe,anger,negative,72,16,5,11,"00:12:00,177","00:12:09,811" +777,"""Baddest man in the whole damn town.""",Rachel,neutral,neutral,72,17,5,11,"00:12:11,230","00:12:13,606" +778,"Oh, fine! Take his side!",Phoebe,anger,negative,72,18,5,11,"00:12:13,774","00:12:16,234" +779,"And shame on you! You should know better, Joey needs to work. Now come on!",Ross,anger,negative,73,0,5,10,"00:10:28,461","00:10:34,257" +780,Hey!,Joey,anger,negative,73,1,5,10,"00:10:33,257","00:10:34,257" +781,No! Ah-ah-ah-ah-ah! You can have this back when the five pages are done! Ahh!,Ross,anger,negative,73,2,5,10,"00:10:34,425","00:10:38,762" +782,Hi!,Rachel,joy,positive,74,0,8,3,"0:09:12,969","0:09:13,637" +783,Hi.,Ross,neutral,neutral,74,1,8,3,"0:09:13,637","0:09:14,448" +784,"Hi. Umm, I think there’s something that we really need to talk about.",Rachel,joy,positive,74,2,8,3,"00:09:14,679","00:09:20,141" +785,"I think we do. Why don’t we go inside? Look uh, I know why you’re here.",Ross,sadness,negative,74,3,8,3,"00:09:20,768","00:09:35,323" +786,You do?,Rachel,surprise,positive,74,4,8,3,"00:09:34,323","00:09:35,323" +787,"Yeah, and to save you from any embarrassment umm, I think maybe I should talk first.",Ross,neutral,neutral,74,5,8,3,"00:09:35,575","00:09:41,621" +788,Okay.,Rachel,neutral,neutral,74,6,8,3,"00:09:41,872","00:09:43,707" +789,"Okay. Uh, Ross and Rachel. Rachel and Ross. That’s been one heck of a see-saw hasn’t it?",Ross,neutral,neutral,74,7,8,3,"00:09:42,872","00:10:03,852" +790,What?,Rachel,surprise,negative,74,8,8,3,"00:10:04,645","00:10:05,895" +791,"I mean look, that-that one night we had was fun and…and certainly passionate, but don’t you think it’s better if we just stayed friends?",Ross,sadness,negative,74,9,8,3,"00:10:06,606","00:10:16,781" +792,Seriously. What?!,Rachel,surprise,negative,74,10,8,3,"00:10:18,909","00:10:20,827" +793,Okay.,Ross,neutral,neutral,74,11,8,3,"0:10:22,204","0:10:23,086" +794,Okay.,Ross,neutral,neutral,74,12,8,3,"0:10:23,086","0:10:24,058" +795,Y’know what?,Ross,neutral,neutral,74,13,8,3,"0:10:24,058","0:10:25,668" +796,"If you want to, we can do it one more time.",Ross,neutral,neutral,74,14,8,3,"00:10:25,791","00:10:29,711" +797,I mean I’d-I’d be okay with that.,Ross,neutral,neutral,74,15,8,3,"0:10:32,465","0:10:34,397" +798,"In fact, I have some time right now.",Ross,neutral,neutral,74,16,8,3,"0:10:34,397","0:10:38,140" +799,"Okay, y’know what? Can I, can I talk now?",Rachel,joy,positive,74,17,8,3,"0:10:38,604","0:10:40,648" +800,Oh sure.,Ross,neutral,neutral,74,18,8,3,"0:10:40,648","0:10:42,713" +801,"I’m pregnant. Ross? Ross? Okay, whenever you’re ready. And you’re the father by the way—but you got that",Rachel,anger,negative,74,19,8,3,"00:10:48,731","00:11:17,258" +802,We should defiantly play football more often. Maybe there’s a like league we could join or something.,Rachel,neutral,neutral,75,0,3,9,"00:21:44,886","00:21:52,935" +803,I know!,Chandler,joy,positive,76,0,3,1,"00:16:22,982","00:16:24,524" +804,"Yes! Wow, well, that-that was easy. Okay, you-you go.",Ross,surprise,positive,76,1,3,1,"00:16:25,693","00:16:30,655" +805,Okay.,Chandler,neutral,neutral,76,2,3,1,"0:16:30,823","0:16:31,575" +806,Okay.,Ross,neutral,neutral,76,3,3,1,"0:16:31,575","0:16:31,955" +807,"Okay, you know, you know when your in bed, with a woman.",Chandler,joy,positive,76,4,3,1,"00:16:32,491","00:16:35,451" +808,Hmph.,Ross,neutral,neutral,76,5,3,1,"00:16:35,619","00:16:36,703" +809,"And, ah, you know, your fooling around with her.",Chandler,joy,positive,76,6,3,1,"00:16:36,912","00:16:40,248" +810,"And you get all these like, mental images in your brain, you know, like Elle MacPherson, or that girl at the Xerox place....",Chandler,joy,positive,76,7,3,1,"00:16:40,416","00:16:46,671" +811,"With the belly-button ring? Oh, muhawa!",Ross,joy,positive,76,8,3,1,"00:16:46,839","00:16:49,549" +812,"I know, And then all of the sudden your Mom pops into your head.",Chandler,anger,negative,76,9,3,1,"00:16:49,717","00:16:52,301" +813,"And your like 'Mom, get outta here!'",Chandler,anger,negative,76,10,3,1,"00:16:54,054","00:16:57,724" +814,"You know, but of course, like, after that you can't possibly think of anything else, and you can't, you know, stop what your doing.",Chandler,anger,negative,76,11,3,1,"00:16:57,975","00:17:06,065" +815,"So it's kinda like, you're, you know.",Chandler,neutral,neutral,76,12,3,1,"00:17:00,769","00:17:08,860" +816,You know.... You don't know!,Chandler,surprise,negative,76,13,3,1,"00:17:06,442","00:17:11,029" +817,"Your Mom, your telling me, your telling me, about your Mom, what is the matter with you?",Ross,disgust,negative,76,14,3,1,"00:17:12,573","00:17:18,202" +818,You said...,Chandler,neutral,neutral,76,15,3,1,"0:17:19,079","0:17:20,831" +819,I said ',Ross,neutral,neutral,76,16,3,1,"0:17:20,831","0:17:22,173" +820,Oh!,Phoebe,surprise,positive,77,0,8,24,"00:17:17,065","00:17:18,066" +821,Look at Emma!,Ross,surprise,positive,77,1,8,24,"00:17:18,233","00:17:21,737" +822,"I just can’t decide who she looks more alike, you or Rachel?",Phoebe,neutral,neutral,77,2,8,24,"00:17:18,233","00:17:23,155" +823,"Oh what are you kidding? She’s gorgeous, it’s all Rachel.",Ross,joy,positive,77,3,8,24,"00:17:23,322","00:17:27,075" +824,"I’m sorry, for the last time, why aren’t you two together again?",Phoebe,neutral,neutral,77,4,8,24,"00:17:31,497","00:17:36,084" +825,"No, I know.",Phoebe,neutral,neutral,77,5,8,24,"0:17:37,544","0:17:38,170" +826,"I know, because you’re not in that place.",Phoebe,neutral,neutral,77,6,8,24,"0:17:38,170","0:17:40,780" +827,"Which would be fine, except you totally are.",Phoebe,neutral,neutral,77,7,8,24,"00:17:40,881","00:17:44,009" +828,It’s…it’s complicated okay?,Ross,sadness,negative,77,8,8,24,"00:17:44,176","00:17:47,513" +829,"Yeah that’s true. Yeah, you love her. You always have. You have a child together. There is no right answer.",Phoebe,neutral,neutral,77,9,8,24,"00:17:48,639","00:17:55,437" +830,"Look, we’ve been together.",Ross,sadness,negative,77,10,8,24,"0:17:57,272","0:17:58,454" +831,Okay?,Ross,neutral,neutral,77,11,8,24,"0:17:58,454","0:18:00,088" +832,"And then apart, and then together, and then apart, and now we have a baby.",Ross,sadness,negative,77,12,8,24,"00:18:00,192","00:18:04,738" +833,It’s just if-if we got together again and it didn’t work out…I could never do that to Emma.,Ross,sadness,negative,77,13,8,24,"00:18:07,658","00:18:16,624" +834,I mean she-she thinking everything— Oh that’s…now me.,Ross,sadness,negative,77,14,8,24,"00:18:18,043","00:18:23,507" +835,What do they put something in the water in this place?,Ross,neutral,neutral,77,15,8,24,"00:18:23,674","00:18:27,302" +836,"Since Rachel and I we’re doing really, we’re doing really well right now.",Ross,sadness,negative,77,16,8,24,"00:18:28,220","00:18:31,807" +837,"I know. I know. I know. I know, and if you try to make it more you might wreck it.",Phoebe,neutral,neutral,77,17,8,24,"00:18:31,974","00:18:36,019" +838,"Yeah, exactly.",Ross,neutral,neutral,77,18,8,24,"00:18:36,186","00:18:38,397" +839,Right. Or you might get everything you’ve wanted since you were fifteen.,Phoebe,neutral,neutral,77,19,8,24,"00:18:40,899","00:18:44,778" +840,God. I forgot how much I love driving. I have,Rachel,joy,positive,78,0,7,22,"00:09:32,530","00:09:35,490" +841,You don’t have a,Ross,neutral,neutral,78,1,7,22,"00:09:41,414","00:09:45,375" +842,"Oh Ross you’re so tense! You just gotta relax, okay? Just need to relax all right? Just need to relax",Rachel,neutral,neutral,78,2,7,22,"00:09:45,585","00:09:53,925" +843,What-what are you doing?! Are you—Okay that’s not funny! Just stop horsing around!,Ross,anger,negative,78,3,7,22,"00:09:54,093","00:09:57,917" +844,"I am not horsing around, okay? I am Porsching around.",Rachel,joy,positive,78,4,7,22,"00:09:58,139","00:10:00,390" +845,Uh-oh.,Rachel,fear,negative,78,5,7,22,"00:10:08,733","00:10:10,775" +846,"Okay, stay calm. Nothing is going to happen to you, you are not in that much trouble.",Ross,neutral,neutral,78,6,7,22,"00:10:10,943","00:10:16,072" +847,Really? You think so?,Rachel,fear,negative,78,7,7,22,"00:10:16,240","00:10:17,657" +848,I was talking to myself! You’re going down!,Ross,anger,negative,78,8,7,22,"00:10:17,825","00:10:20,619" +849,Hey honey! I missed you today!,Monica,joy,positive,79,0,9,21,"00:05:26,159","00:05:28,535" +850,"Oh, yeah?",Chandler,surprise,positive,79,1,9,21,"00:05:28,703","00:05:31,204" +851,Yeah. What d'you wanna do tonight?,Monica,neutral,neutral,79,2,9,21,"0:05:31,956","0:05:33,168" +852,"Oh, well... Maybe we could...",Chandler,neutral,neutral,79,3,9,21,"0:05:33,168","0:05:36,842" +853,"Ok, trying to turn me on by making a mess?",Monica,joy,positive,79,4,9,21,"00:05:46,429","00:05:49,931" +854,Know your audience!,Monica,joy,positive,79,5,9,21,"00:05:50,099","00:05:51,683" +855,"Besides, tomorrow we're doing those fertility tests and until then you need to keep your tadpoles in the tank.",Monica,neutral,neutral,79,6,9,21,"00:05:53,353","00:05:59,816" +856,We really need to take those tests?,Chandler,sadness,negative,79,7,9,21,"00:06:01,277","00:06:03,403" +857,"Honey, we've been trying to have a baby for over a year.",Monica,neutral,neutral,79,8,9,21,"00:06:03,571","00:06:05,655" +858,I think it's a good idea to find out if everything's ok. Just a few routine tests.,Monica,neutral,neutral,79,9,9,21,"00:06:05,823","00:06:12,954" +859,But I don't wanna do it in a cup!,Chandler,sadness,negative,79,10,9,21,"00:06:08,910","00:06:12,954" +860,"Oh, hi Max! Hey, do you know everybody?",Phoebe,neutral,neutral,80,0,1,10,"00:12:02,471","00:12:04,639" +861,No. Have you seen David?,Max,neutral,neutral,80,1,1,10,"00:12:04,807","00:12:06,683" +862,"No, no, he hasn't been around.",Phoebe,neutral,neutral,80,2,1,10,"00:12:08,227","00:12:09,519" +863,"Well, if you see him, tell him to pack his bags. We are going to Minsk.",Max,neutral,neutral,80,3,1,10,"00:12:09,687","00:12:13,273" +864,Minsk?,Phoebe,surprise,negative,80,4,1,10,"0:12:13,941","0:12:14,533" +865,Minsk. It's in Russia.,Max,neutral,neutral,80,5,1,10,"0:12:14,533","0:12:16,673" +866,I know where Minsk is.,Phoebe,neutral,neutral,80,6,1,10,"00:12:17,737","00:12:19,696" +867,"We got the grant. Three years, all expenses paid.",Max,joy,positive,80,7,1,10,"00:12:20,406","00:12:25,535" +868,"So when, when do you leave?",Phoebe,neutral,neutral,80,8,1,10,"00:12:26,078","00:12:27,328" +869,January first,Max,neutral,neutral,80,9,1,10,"00:12:27,538","00:12:29,205" +870,You wanted to see me Professor Geller?,Elizabeth,joy,positive,81,0,6,19,"0:09:51,882","0:09:53,444" +871,"Yes. Yes! Please, come in.",Ross,neutral,neutral,81,1,6,19,"0:09:53,444","0:09:56,235" +873,Oo-oo!,Ross,joy,positive,81,2,6,19,"00:09:59,807","00:10:01,016" +874,Pretty great! Except I did get a little attitude from the robot.,Joey,joy,positive,82,0,6,21,"00:09:50,006","00:09:53,633" +875,"Damn those robots, they’re supposed to be our",Chandler,anger,negative,82,1,6,21,"00:09:53,801","00:09:57,137" +876,"Anyway, it wasn’t the robot, it was the guy who controls him.",Joey,neutral,neutral,82,2,6,21,"00:09:58,222","00:10:00,724" +877,"Yeah, he doesn’t like me.",Joey,anger,negative,82,3,6,21,"0:10:00,891","0:10:04,063" +878,He had C.H.E.E.S.E.,Joey,neutral,neutral,82,4,6,21,"0:10:04,063","0:10:04,284" +879,knock over the sandwich right when I was reaching for one!,Joey,anger,negative,82,5,6,21,"00:10:02,227","00:10:06,771" +880,Ohh!,Joey,surprise,positive,82,6,6,21,"00:10:05,771","00:10:06,771" +881,"Well, why don’t you just get him fired?",Phoebe,neutral,neutral,82,7,6,21,"00:10:06,939","00:10:08,607" +882,"I may have to, I hate to do it, but I’m the star!",Joey,anger,negative,82,8,6,21,"0:10:08,774","0:10:11,706" +883,Y’know?,Joey,neutral,neutral,82,9,6,21,"0:10:11,706","0:10:12,508" +884,There’s a limit to how many sandwiches I can eat off the floor.,Joey,neutral,neutral,82,10,6,21,"00:10:12,612","00:10:15,905" +885,Excuse me.,Joey,neutral,neutral,82,11,6,21,"00:10:17,825","00:10:20,118" +886,Joey Tribbiani.,Joey,neutral,neutral,82,12,6,21,"00:10:20,286","00:10:22,579" +887,"Joe! I’m glad I found ya, I got an audition for ya!",Estelle,joy,positive,82,13,6,21,"00:10:22,747","00:10:26,458" +888,Wow!,Joey,surprise,positive,82,14,6,21,"0:10:26,626","0:10:27,338" +889,The thing is it’s kinda on the Q.T.,Estelle,neutral,neutral,82,15,6,21,"0:10:27,338","0:10:29,678" +890,The actor who has the part doesn’t know he might be fired.,Estelle,neutral,neutral,82,16,6,21,"00:10:29,795","00:10:33,715" +891,"It’s the lead in a series, Mac and C.H.E.E.S.E.",Estelle,neutral,neutral,82,17,6,21,"00:10:33,833","00:10:37,761" +892,I’m the lead in Mac and C.H.E.E.S.E.!!,Joey,anger,negative,82,18,6,21,"00:10:39,597","00:10:41,348" +893,Oh good God! If you want a baby so bad just go steal it!,Monica,anger,negative,83,0,8,23,"00:10:26,614","00:10:30,117" +894,What is going on with you? Since when are you so crazy about babies?,Monica,surprise,positive,83,1,8,23,"00:10:33,287","00:10:36,582" +895,I’m not crazy about babies. I’m crazy about us.,Chandler,joy,positive,83,2,8,23,"00:10:36,791","00:10:41,128" +896,What?,Monica,surprise,positive,83,3,8,23,"00:10:42,838","00:10:43,881" +897,"Look, we’ve always talked about having babies someday.",Chandler,neutral,neutral,83,4,8,23,"00:10:44,131","00:10:47,885" +898,"I’m not saying it has to be right now, but I’m starting to think that we can handle it.",Chandler,neutral,neutral,83,5,8,23,"00:10:48,094","00:10:53,307" +899,We’re good.,Chandler,neutral,neutral,83,6,8,23,"00:10:52,307","00:10:53,307" +900,We’re really good.,Chandler,joy,positive,83,7,8,23,"00:10:53,474","00:10:56,143" +901,"Oh, did you catch him?!",Monica,surprise,negative,84,0,5,13,"00:09:39,036","00:09:41,288" +903,Wh-what did he say?!,Ross,surprise,negative,84,1,5,13,"00:09:39,036","00:09:41,288" +904,"He said, ""Nice to meet you Glenda."" Well, obviously I couldn't give him my real name?",Phoebe,neutral,neutral,84,2,5,13,"00:09:41,539","00:09:48,128" +905,Why?! Why not?!,Rachel,surprise,negative,84,3,5,13,"00:09:48,379","00:09:49,462" +906,"Come on, you saw the way he ran out of here!",Phoebe,sadness,negative,84,4,5,13,"00:09:49,714","00:09:51,172" +908,He's gonna stick around and talk to the daughter he abandoned!,Phoebe,sadness,negative,84,5,5,13,"00:09:51,382","00:09:54,175" +909,What did you say to him?,Joey,neutral,neutral,84,6,5,13,"00:09:54,427","00:09:56,136" +910,"Well, I said, I told him y'know, that I was the executor person of Francis' will and that I needed to talk to him so I'm gonna meet him at the coffee house later.",Phoebe,neutral,neutral,84,7,5,13,"00:09:56,387","00:10:03,685" +911,"Oh yeah, sure.",Rachel,neutral,neutral,85,0,8,4,"00:18:12,424","00:18:14,258" +912,"Okay, in about ten seconds you’re gonna see him kiss me.",Rachel,joy,positive,85,1,8,4,"00:18:14,468","00:18:17,053" +913,And in about five seconds you’re gonna see why.,Ross,neutral,neutral,85,2,8,4,"00:18:17,221","00:18:21,349" +914,Ross did I ever tell you about the time that I went backpacking through Western Europe?,Rachel,neutral,neutral,85,3,8,4,"00:18:24,561","00:18:30,525" +915,"Okay, get ready to see some beggin’!",Rachel,joy,positive,85,4,8,4,"00:18:37,407","00:18:40,409" +916,"Oh, you came on to Ross!",Phoebe,surprise,positive,85,5,8,4,"00:18:41,078","00:18:43,579" +917,What?!,Rachel,surprise,negative,85,6,8,4,"0:18:44,456","0:18:46,542" +918,Now I’m so happy.,Ross,joy,positive,85,7,8,4,"0:18:46,542","0:18:47,724" +919,What are you talking about?!,Rachel,surprise,negative,85,8,8,4,"0:18:48,585","0:18:50,227" +920,You used the Europe story!,Monica,joy,positive,85,9,8,4,"0:18:50,227","0:18:52,106" +921,That’s the magic story you use when you wanna have sex!,Chandler,anger,negative,85,10,8,4,"00:18:52,214","00:18:55,675" +922,How do you know about that story?!,Rachel,surprise,negative,85,11,8,4,"0:18:57,803","0:19:02,115" +923,How do,Joey,neutral,neutral,85,12,8,4,"0:19:02,115","0:19:03,245" +924,I heard it from my friend Irene who heard it from some guy!,Rachel,neutral,neutral,85,13,8,4,"00:19:03,433","00:19:06,811" +925,Some guy!!,Joey,surprise,positive,85,14,8,4,"00:19:07,437","00:19:09,689" +926,"No. No, she told me his name was Ken Adams.",Rachel,neutral,neutral,85,15,8,4,"00:19:12,484","00:19:15,153" +927,Ken Adams!!,Joey,surprise,positive,85,16,8,4,"00:19:18,115","00:19:19,532" +928,"How we doing, you guys ready?",Ross,neutral,neutral,86,0,1,8,"00:13:16,003","00:13:17,545" +929,Mom already called this morning to remind me not to wear my hair up. Did you know my ears are not my best feature?,Monica,neutral,neutral,86,1,1,8,"00:13:17,797","00:13:23,134" +930,Some days it's all I can think about.,Ross,neutral,neutral,86,2,1,8,"00:13:23,385","00:13:25,637" +931,"Hi, sorry I'm late, I couldn't find my bearings.",Phoebe,neutral,neutral,86,3,1,8,"00:13:26,514","00:13:29,516" +932,"Oh... ok, fine.",Ross,neutral,neutral,87,0,9,20,"0:08:48,975","0:08:49,643" +933,But... ehm...,Ross,neutral,neutral,87,1,9,20,"0:08:49,643","0:08:50,985" +934,"I just have one question for you, ehm...",Ross,neutral,neutral,87,2,9,20,"0:08:50,985","0:08:52,844" +935,"When we exit should we walk, or run, or prance, or stroll...",Ross,neutral,neutral,87,3,9,20,"00:08:52,937","00:08:58,567" +936,"Stop it, stop it! He talks slow but he might pee fast! Ok, let's go!!",Charlie,joy,positive,87,4,9,20,"00:08:58,734","00:09:03,572" +937,I can’t believe this! How long as this been going on?,Phoebe,surprise,negative,88,0,8,14,"00:01:10,560","00:01:12,960" +938,"Well umm, Alexandra has been",Monica,neutral,neutral,88,1,8,14,"0:01:13,360","0:01:15,920" +939,"Oh, it has a name?",Phoebe,surprise,negative,88,2,8,14,"0:01:15,920","0:01:16,825" +940,"Phoebe, don’t get upset!",Monica,sadness,negative,88,3,8,14,"00:01:18,320","00:01:19,960" +941,Okay—Oop! Too late! I’m leaving! Come on Chandler let’s go!,Phoebe,anger,negative,88,4,8,14,"00:01:20,200","00:01:25,240" +942,"Well, Phoebe I thought I’d——Yeah, what the hell.",Chandler,neutral,neutral,88,5,8,14,"00:01:26,360","00:01:30,160" +943,Ben!,Joey,fear,negative,89,0,2,6,"00:12:04,348","00:12:05,348" +944,"Oh, that's good. Maybe he'll hear you and pull the cord.",Chandler,anger,negative,89,1,2,6,"00:12:06,767","00:12:10,562" +945,Stop the bus! Wait! Wait! Wait!,Joey,fear,negative,89,2,2,6,"00:12:10,730","00:12:15,525" +946,Are you sure he didn't break it because it really hurts?,Monica,neutral,neutral,89,3,2,6,"00:12:20,990","00:12:23,408" +947,"No, it's just a good bone bruise. And, right here is the puncture wound from your ring.",Doctor,neutral,neutral,89,4,2,6,"00:12:23,576","00:12:30,749" +948,"Oh, I'm sorry, I'm really sorry.",Ross,sadness,negative,89,5,2,6,"0:12:32,293","0:12:34,685" +949,Sorry.,Ross,sadness,negative,89,6,2,6,"0:12:34,685","0:12:35,144" +950,Sorry!,Ross,sadness,negative,89,7,2,6,"0:12:35,144","0:12:35,290" +953,I got my s's back!,Ross,joy,positive,89,8,2,6,"00:12:36,839","00:12:40,467" +954,Which we can celebrate later.,Ross,neutral,neutral,89,9,2,6,"00:12:41,177","00:12:43,803" +955,Celebrate.,Ross,neutral,neutral,89,10,2,6,"00:12:44,430","00:12:46,514" +956,"Ok, Paulo, why don't you just go get dressed, and then you be on your way, ok, bye-bye.",Rachel,joy,positive,90,0,2,1,"00:11:02,536","00:11:08,208" +957,"Rachel, how did this happen?",Monica,neutral,neutral,90,1,2,1,"00:11:09,418","00:11:11,044" +958,"I don't know, I just kinda ran into him last night.",Rachel,fear,negative,90,2,2,1,"00:11:11,212","00:11:13,546" +959,Where?,Phoebe,neutral,neutral,90,3,2,1,"00:11:13,714","00:11:15,090" +960,At his apartment. Is this juice?,Rachel,neutral,neutral,90,4,2,1,"00:11:13,714","00:11:16,800" +961,"Whoa, whoa. And the fact that you dumped him because he hit on Phoebe?",Joey,anger,negative,90,5,2,1,"00:11:17,426","00:11:21,179" +962,"Oh God, I know I'm a pathetic loser.",Rachel,sadness,negative,90,6,2,1,"00:11:21,347","00:11:24,474" +963,"I licked my arm, what?",Phoebe,surprise,positive,91,0,2,2,"00:09:10,633","00:09:12,425" +964,It's breast milk.,Ross,neutral,neutral,91,1,2,2,"00:09:12,593","00:09:14,928" +965,So?,Phoebe,neutral,neutral,91,2,2,2,"00:09:15,096","00:09:16,346" +966,"Phoebe, that is juice, squeezed from a person.",Rachel,neutral,neutral,91,3,2,2,"00:09:16,514","00:09:20,600" +967,What is the big deal?,Joey,anger,negative,91,4,2,2,"00:09:21,435","00:09:24,229" +968,What did you just do?,Chandler,surprise,negative,91,5,2,2,"00:09:25,815","00:09:27,440" +969,"Ok, would people stop drinking the breast milk?",Ross,disgust,negative,91,6,2,2,"00:09:29,485","00:09:32,904" +970,You won't even taste it?,Phoebe,neutral,neutral,91,7,2,2,"0:09:34,407","0:09:36,329" +971,No!,Ross,disgust,negative,91,8,2,2,"0:09:36,329","0:09:37,373" +972,Not even if you just pretend that it's milk?,Phoebe,neutral,neutral,91,9,2,2,"00:09:37,493","00:09:39,703" +973,Not even if Carol's breast had a picture of a missing child on it.,Ross,disgust,negative,91,10,2,2,"00:09:39,870","00:09:43,206" +974,Aww!,All,surprise,positive,92,0,6,11,"00:12:03,764","00:12:05,181" +976,"Hey Pheebs, could you please not put your feet up on my new……old sheet?",Ross,disgust,negative,92,1,6,11,"00:12:11,564","00:12:16,735" +977,Oh sure! Noo!,Phoebe,joy,positive,92,2,6,11,"00:12:17,278","00:12:18,778" +978,Ohh!!,Rachel,surprise,negative,92,3,6,11,"00:12:18,946","00:12:19,988" +979,My apothecary table!!!,Ross,surprise,negative,92,4,6,11,"00:12:20,156","00:12:21,958" +980,What?!,Phoebe,surprise,negative,92,5,6,11,"0:12:22,658","0:12:23,326" +982,Noooooo!!,Rachel,fear,negative,92,6,6,11,"0:12:23,326","0:12:24,798" +983,"Ross, where did you get this?!",Phoebe,surprise,negative,92,7,6,11,"00:12:25,619","00:12:28,747" +985,"Oh my God, Phoebe,",Rachel,anger,negative,92,8,6,11,"00:12:31,375","00:12:33,251" +986,"Wow! Oh my God, well if they’ve ripped off our table ours must be much more than one and fifty dollars!",Phoebe,anger,negative,92,9,6,11,"00:12:39,175","00:12:45,513" +988,Well this doesn’t even smell like opium.,Phoebe,disgust,negative,92,10,6,11,"00:12:47,641","00:12:50,018" +989,"Of course not, it smells like wine, which you spilled! And thanks for wrecking my sheet by the way.",Ross,anger,negative,92,11,6,11,"00:12:50,186","00:12:55,356" +990,How is she?,Rachel,sadness,negative,93,0,2,1,"00:15:03,402","00:15:05,028" +991,"It's too soon to tell. She's resting, which is a good sign.",Phoebe,neutral,neutral,93,1,2,1,"00:15:05,696","00:15:11,367" +992,How's the hair?,Ross,neutral,neutral,93,2,2,1,"00:15:12,703","00:15:15,288" +993,"I'm not gonna lie to you, Ross, it doesn't look good.",Phoebe,sadness,negative,93,3,2,1,"00:15:12,703","00:15:17,206" +994,"I put a clip on one side, which seems to have stopped the curling.",Phoebe,neutral,neutral,93,4,2,1,"00:15:19,084","00:15:22,295" +995,Can we see her?,Joey,neutral,neutral,93,5,2,1,"00:15:24,173","00:15:25,298" +996,"Your hair looks too good, I think it would upset her. Ross, why don't you come on in.",Phoebe,sadness,negative,93,6,2,1,"00:15:25,883","00:15:31,387" +998,How're you doing?,Joey,sadness,negative,93,7,2,1,"00:15:38,479","00:15:40,980" +999,Of course the packaging does appeal to grown-ups and kids alike.,Chandler,neutral,neutral,94,0,2,2,"00:13:10,331","00:13:13,708" +1000,"Ross, you're being silly. I've tried it, it's no big deal. Just taste it.",Carol,joy,positive,94,1,2,2,"00:13:15,920","00:13:21,549" +1001,That would be no.,Ross,disgust,negative,94,2,2,2,"00:13:21,717","00:13:23,551" +1002,Come on. It doesn't taste bad.,Phoebe,neutral,neutral,94,3,2,2,"00:13:24,345","00:13:28,306" +1003,"Yeah, it's kinda sweet, sorta like, uh...",Joey,neutral,neutral,94,4,2,2,"00:13:28,474","00:13:31,392" +1004,Cantaloupe juice.,Susan,joy,positive,94,5,2,2,"00:13:31,560","00:13:33,686" +1005,Exactly.,Joey,neutral,neutral,94,6,2,2,"00:13:33,854","00:13:35,396" +1006,You've tasted it? You've tasted it.,Ross,surprise,positive,94,7,2,2,"00:13:42,404","00:13:46,199" +1007,Uh huh.,Susan,neutral,neutral,94,8,2,2,"00:13:46,367","00:13:47,659" +1008,"Oh, you've tasted it.",Ross,anger,negative,94,9,2,2,"00:13:48,410","00:13:50,245" +1009,"You can keep saying it, but it won't stop being true.",Susan,neutral,neutral,94,10,2,2,"00:13:52,414","00:13:55,375" +1010,Gimme the bottle. Gimme the towel.,Ross,anger,negative,94,11,2,2,"00:14:03,217","00:14:04,634" +1011,I still don't get why Greg and Jenny would give us a fake number.,Monica,anger,negative,95,0,8,4,"00:12:36,922","00:12:39,966" +1012,"Y’know, if they knew what they were doing they probably didn’t give you real names either.",Joey,neutral,neutral,95,1,8,4,"00:12:40,134","00:12:46,181" +1013,"Okay, maybe people give out fake numbers, but they don’t give out fake names.",Monica,anger,negative,95,2,8,4,"00:12:46,390","00:12:50,226" +1014,"Oh yeah? Hi, Ken Adams, nice to meet you.",Joey,neutral,neutral,95,3,8,4,"00:12:50,394","00:12:54,147" +1015,Regina Philange.,Phoebe,neutral,neutral,95,4,8,4,"00:12:56,400","00:12:59,068" +1016,"I still don’t get it, we didn’t do anything wrong.",Chandler,surprise,negative,95,5,8,4,"00:12:59,862","00:13:02,530" +1017,"I know! Although, you did tell an awful lot of jokes.",Monica,anger,negative,95,6,8,4,"00:13:04,492","00:13:08,036" +1018,I thought you said those jokes were funny. Joke! Joke! Joke!,Chandler,surprise,positive,95,7,8,4,"00:13:08,871","00:13:12,707" +1019,Joke. Joke. Blah! Blah!,Monica,anger,negative,95,8,8,4,"00:13:12,875","00:13:15,627" +1020,Well maybe it was all of your questions.,Chandler,neutral,neutral,95,9,8,4,"0:13:20,508","0:13:22,490" +1021,What about my questions?,Monica,neutral,neutral,95,10,8,4,"0:13:22,490","0:13:23,602" +1022,"No, I’m sorry. It’s just my foot itches like crazy.",Cliff,neutral,neutral,96,0,8,24,"00:04:00,603","00:04:03,523" +1023,"Oh, I’ll get it.",Phoebe,neutral,neutral,96,1,8,24,"00:04:03,690","00:04:06,150" +1024,Wow! I usually get to know a girl a little better before I let her spoon me.,Cliff,surprise,negative,96,2,8,24,"00:04:07,735","00:04:11,572" +1025,"Relax, it’s not like we’re forking.",Phoebe,joy,positive,96,3,8,24,"00:04:12,907","00:04:15,493" +1026,"Look at it! Ohhh! Wallpaper’s a little faded, that’s okay. Carpet’s a little loose. Hardwood floors!!",Monica,joy,positive,97,0,3,20,"00:03:55,109","00:04:03,992" +1027,Hey!,Phoebe,joy,positive,97,1,3,20,"0:04:06,204","0:04:06,706" +1028,Hello.,Chandler,neutral,neutral,97,2,3,20,"0:04:06,706","0:04:08,722" +1029,Oh! Ooh! Oh Monica! It’s so beautiful.,Phoebe,joy,positive,97,3,3,20,"00:04:08,831","00:04:13,835" +1030,I know!!!,Monica,joy,positive,97,4,3,20,"00:04:11,835","00:04:13,835" +1031,"So, I’m here, ready to play.",Phoebe,joy,positive,97,5,3,20,"0:04:14,963","0:04:16,675" +1032,Okay.,Monica,neutral,neutral,97,6,3,20,"0:04:16,675","0:04:17,695" +1033,"I brought a bunch of stuff for the house, so check it out. Ha-ha.",Phoebe,joy,positive,97,7,3,20,"00:04:17,799","00:04:22,261" +1034,What’s this?,Monica,surprise,positive,97,8,3,20,"00:04:25,974","00:04:27,057" +1035,"That’s a dog, every house should have a dog.",Phoebe,joy,positive,97,9,3,20,"00:04:27,225","00:04:29,559" +1036,Not one that can pee on the roof.,Monica,surprise,negative,97,10,3,20,"00:04:30,144","00:04:32,020" +1037,"Well, maybe it’s so big because the house was built on radioactive waste.",Phoebe,joy,positive,97,11,3,20,"00:04:33,481","00:04:39,403" +1038,And is this in case the house sneezes?,Chandler,surprise,negative,97,12,3,20,"00:04:41,447","00:04:45,033" +1039,"No, no, that’s the ghost for the attic.",Phoebe,neutral,neutral,97,13,3,20,"00:04:46,619","00:04:50,122" +1040,I don’t want a ghost.,Monica,fear,negative,97,14,3,20,"00:04:51,249","00:04:55,043" +1041,"Well, nobody wants a ghost. But you’ve got one, because the house is sitting on an ancient Indian burial ground.",Phoebe,neutral,neutral,97,15,3,20,"00:04:56,462","00:05:02,342" +1042,"Wait a minute, the house was built on radioactive waste, and an ancient Indian burial ground? That would never happen.",Ross,surprise,positive,97,16,3,20,"00:05:04,053","00:05:12,394" +1043,"Okay, obviously you don’t know much about the U.S. government.",Phoebe,neutral,neutral,97,17,3,20,"00:05:14,063","00:05:17,899" +1044,Hey!,Rachel,surprise,positive,97,18,3,20,"0:05:19,068","0:05:20,960" +1045,Hello.,All,neutral,neutral,97,19,3,20,"0:05:20,960","0:05:21,458" +1046,I need to talk to you!,Rachel,joy,positive,97,20,3,20,"0:05:21,571","0:05:23,115" +1047,"Sure, what’s up?",Ross,neutral,neutral,97,21,3,20,"0:05:23,115","0:05:24,625" +1048,"All right, I just got changed in thirty seconds so you can be alone with him. You'd better go for it.",Jeannine,anger,negative,98,0,3,12,"00:05:20,528","00:05:28,076" +1049,"Please, I'm not going for anything.",Monica,disgust,negative,98,1,3,12,"00:05:24,449","00:05:28,076" +1050,"Well, if you don't, I will.",Jeannine,anger,negative,98,2,3,12,"0:05:28,244","0:05:29,955" +1051,Would you please go?,Monica,joy,positive,98,3,3,12,"0:05:29,955","0:05:31,517" +1052,I would!,Ross,anger,negative,98,4,3,12,"0:05:31,517","0:05:31,727" +1053,"Hey, guys, guys, did you see my new, china cabinet?!",Monica,joy,positive,99,0,3,20,"00:09:00,831","00:09:04,876" +1054,Uh-huh.,Ross and Rachel,neutral,neutral,99,1,3,20,"00:09:05,294","00:09:06,336" +1055,"Watch, watch.",Phoebe,joy,positive,99,2,3,20,"00:09:08,256","00:09:09,297" +1057,Ooohhhh!!,Ross and Rachel,surprise,positive,99,3,3,20,"0:09:10,633","0:09:10,717" +1059,"And, and!",Phoebe,joy,positive,99,4,3,20,"0:09:10,717","0:09:12,855" +1060,Ahhhh!!,Ross and Rachel,surprise,positive,99,5,3,20,"00:09:12,969","00:09:15,345" +1061,"Hey, my Father’s house does that!",Chandler,surprise,positive,99,6,3,20,"00:09:17,223","00:09:19,933" +1062,"O-o-o-okay, how did it go? Tell me everything.",Rachel,neutral,neutral,99,7,3,20,"00:09:21,143","00:09:23,937" +1063,"Well, the movie was great, dinner was great, and there’s nothing like a cool, crisp New York evening.",Chandler,neutral,neutral,99,8,3,20,"00:09:24,105","00:09:30,277" +1064,Okay. It’s Emma.,Monica,neutral,neutral,100,0,1,1,"00:13:23,916","00:13:26,460" +1065,Emma! See? I don’t want it.,Rachel,sadness,negative,101,0,8,4,"00:13:27,795","00:13:35,928" +1066,Take it.,Monica,neutral,neutral,102,0,1,2,"0:13:40,766","0:13:42,477" +1067,What?,Rachel,neutral,neutral,102,1,1,2,"0:13:42,477","0:13:43,955" +1068,It’s clearly an Emma.,Monica,neutral,neutral,103,0,8,24,"00:13:44,395","00:13:46,438" +1069,"Oh honey, but you love that name.",Rachel,sadness,negative,103,1,8,24,"00:13:46,605","00:13:48,816" +1070,"Yeah, but I love you more.",Monica,joy,positive,103,2,8,24,"00:13:49,817","00:13:51,986" +1071,"Besides y’know, nothing goes with Bing.",Monica,neutral,neutral,103,3,8,24,"0:13:55,072","0:13:57,909" +1072,So I’m screwed.,Monica,joy,positive,103,4,8,24,"0:13:57,909","0:13:59,473" +1081,"Oh-oh, I'm a duck! I go, ""Quack, quack!"" I’m happy all the time!",Chandler,joy,positive,104,0,5,8,"00:20:15,464","00:20:18,925" +1082,Nice try.,Chandler,sadness,negative,104,1,5,8,"00:20:30,395","00:20:31,520" +1083,"Wait, wait, wait!",Monica,joy,positive,104,2,5,8,"00:20:31,688","00:20:33,522" +1084,"Look, Monica",Chandler,neutral,neutral,104,3,5,8,"0:20:36,526","0:20:37,361" +1085,Look!,Monica,surprise,negative,104,4,5,8,"0:20:37,361","0:20:37,799" +1086,This is not going to work.,Chandler,anger,negative,104,5,5,8,"00:20:42,366","00:20:43,699" +1087,I bet this will work!,Monica,joy,positive,104,6,5,8,"00:20:43,867","00:20:45,660" +1088,You are so great! I love you!,Chandler,joy,positive,104,7,5,8,"00:20:54,086","00:20:56,754" +1089,What?,Monica,surprise,positive,104,8,5,8,"00:21:06,431","00:21:07,765" +1090,"Nothing! I said, I said ""You're so great"" and then I just, I just stopped talking!",Chandler,fear,negative,104,9,5,8,"00:21:07,933","00:21:11,852" +1091,You said you loved me! I can't believe this!,Monica,surprise,positive,104,10,5,8,"00:21:13,563","00:21:15,815" +1092,No I didn't!,Chandler,fear,negative,104,11,5,8,"00:21:15,983","00:21:17,108" +1093,"Yes, you did!",Monica,surprise,positive,104,12,5,8,"0:21:18,944","0:21:21,072" +1094,No I didn't!,Chandler,fear,negative,104,13,5,8,"0:21:21,072","0:21:21,468" +1095,You love me!,Monica,joy,positive,104,14,5,8,"00:21:22,281","00:21:23,823" +1096,No I don't! Stop it! Stop it! Stop it! Stop it!,Chandler,anger,negative,104,15,5,8,"00:21:24,032","00:21:26,993" +1097,Hello Greg?,Monica,neutral,neutral,105,0,8,4,"0:21:37,296","0:21:40,258" +1098,"Hi, this is Monica from the plane?",Monica,neutral,neutral,105,1,8,4,"0:21:40,258","0:21:40,443" +1099,"Listen, the number that you gave me 853-5… That is their old number!",Monica,anger,negative,105,2,8,4,"00:21:40,590","00:21:47,722" +1100,Jenny’s been giving it out since they moved!,Monica,anger,negative,105,3,8,4,"00:21:44,678","00:21:47,722" +1101,Jenny! That is so Jenny!,Chandler,joy,positive,105,4,8,4,"00:21:47,889","00:21:51,851" +1102,"Hey listen umm, how would you like to get together?",Monica,neutral,neutral,105,5,8,4,"00:21:52,019","00:21:55,938" +1103,Say next Saturday?,Monica,neutral,neutral,105,6,8,4,"00:21:54,000","00:21:55,938" +1104,"Okay, how about Sunday?",Monica,neutral,neutral,105,7,8,4,"00:21:56,106","00:21:58,316" +1105,"Okay umm, the week after that?",Monica,joy,positive,105,8,8,4,"0:21:58,483","0:21:59,568" +1106,The week after that?,Monica,joy,positive,105,9,8,4,"0:21:59,568","0:22:01,261" +1107,Y’know what Greg?,Monica,anger,negative,105,10,8,4,"00:22:03,488","00:22:04,947" +1109,"We are good, interesting, funny people with",Monica,anger,negative,105,11,8,4,"00:22:05,115","00:22:09,410" +1110,Hey Chandler! Y’know that girl you went to college with who-who became a movie director?,Joey,neutral,neutral,106,0,6,18,"00:01:59,994","00:02:03,997" +1111,"Oh yeah, Dana Keystone. She was in my Movement class.",Chandler,neutral,neutral,106,1,6,18,"00:02:04,165","00:02:07,543" +1112,What’s a Movement class?,Phoebe,neutral,neutral,106,2,6,18,"00:02:08,169","00:02:09,795" +1113,It’s Chandler’s way of pretending he didn’t take mime.,Monica,neutral,neutral,106,3,6,18,"00:02:09,963","00:02:13,340" +1114,"Oh well listen, anyway she’s directing the new Al Pacino movie. You gotta get me an audition!",Joey,joy,positive,106,4,6,18,"00:02:13,883","00:02:21,306" +1115,"Oh, I don’t know man. I haven’t talked to her in like ten years.",Chandler,neutral,neutral,106,5,6,18,"00:02:17,846","00:02:21,306" +1116,I am.,Phoebe,neutral,neutral,107,0,6,20,"00:02:38,000","00:02:39,575" +1117,"Joey, what are you talking about? You’re a terrific actor.",Rachel,neutral,neutral,107,1,6,20,"00:02:41,578","00:02:44,454" +1118,You really think so?,Joey,surprise,positive,107,2,6,20,"0:02:44,789","0:02:45,501" +1119,"Ugh, how can you even ask that question?!",Rachel,surprise,positive,107,3,6,20,"0:02:45,501","0:02:48,182" +1120,Ross! Get a shot of this. (He's carrying an issue of the,Joey,surprise,positive,108,0,5,3,"00:05:14,564","00:05:18,025" +1121,"Oh, okay, I'm having another one!",Phoebe,fear,negative,108,1,5,3,"00:05:35,126","00:05:37,669" +1122,"This one doesn't hurt either—Ooh, yes it does!",Phoebe,surprise,negative,108,2,5,3,"00:05:37,879","00:05:40,756" +1123,Ow!,Phoebe,anger,negative,108,3,5,3,"00:05:39,756","00:05:40,756" +1124,Ow!,Phoebe,anger,negative,108,4,5,3,"0:05:41,132","0:05:41,466" +1125,Ow!,Phoebe,anger,negative,108,5,5,3,"0:05:41,466","0:05:41,550" +1126,Ow!,Phoebe,anger,negative,108,6,5,3,"0:05:41,550","0:05:43,135" +1127,Ooh!,Phoebe,surprise,negative,108,7,5,3,"00:05:43,676","00:05:45,385" +1128,"Oh, I was kinda hoping that was it.",Phoebe,sadness,negative,108,8,5,3,"00:05:46,554","00:05:48,555" +1129,"Hey, where are Monica and Rachel anyway?",Ross,neutral,neutral,108,9,5,3,"00:05:51,267","00:05:53,518" +1131,"Yeah, I love you. Okay, bye! Hi!",Frank,joy,positive,108,10,5,3,"00:14:10,766","00:14:13,810" +1132,Hi!,Rachel,joy,positive,108,11,5,3,"00:14:14,812","00:14:15,895" +1133,"That was Alice's mom, she said she left five hours ago. She should be here by now!",Frank,fear,negative,108,12,5,3,"00:14:16,105","00:14:20,567" +1134,"Oh, honey, don’t worry. She's gonna make it on time.",Rachel,neutral,neutral,108,13,5,3,"00:14:20,776","00:14:22,485" +1135,Yeah.,Frank,neutral,neutral,108,14,5,3,"00:14:23,028","00:14:24,445" +1136,I guess I set up the video camera to try and entice Joey.,Monica,neutral,neutral,109,0,5,9,"00:20:41,823","00:20:46,077" +1137,But sadly I could not be enticed.,Joey,joy,positive,109,1,5,9,"00:20:47,371","00:20:50,331" +1138,Unbelievable! I mean you really kept Joey's underwear?! Why? Why would you do that?!,Ross,disgust,negative,109,2,5,9,"00:20:51,875","00:20:58,714" +1139,I'm Monica. I'm disgusting. I stalk guys and keep their underpants.,Monica,sadness,negative,109,3,5,9,"00:21:02,594","00:21:11,185" +1140,"Well, I think we've all learned something about who's disgusting and who's not.",Joey,anger,negative,109,4,5,9,"00:21:15,148","00:21:20,403" +1141,Eh?,Joey,neutral,neutral,109,5,5,9,"00:21:20,570","00:21:21,988" +1142,"All right, now, I'm going to get back to my bucket.",Joey,neutral,neutral,109,6,5,9,"00:21:22,155","00:21:26,242" +1143,"I'm only eating the skin, so the chicken's up for grabs.",Joey,neutral,neutral,109,7,5,9,"00:21:27,703","00:21:30,913" +1145,"Ohh, okay, they gave you the old time pricing.",Phoebe,neutral,neutral,110,0,6,11,"0:06:52,412","0:06:54,874" +1146,Yeah.,Rachel,neutral,neutral,110,1,6,11,"0:06:54,874","0:06:56,125" +1147,"Well, what period is it from?",Phoebe,neutral,neutral,110,2,6,11,"00:06:57,417","00:06:59,167" +1148,"Uh, it’s from yore. Like the days of yore. Y’know?",Rachel,neutral,neutral,110,3,6,11,"00:06:59,335","00:07:03,380" +1149,"Yes, yes I do.",Phoebe,neutral,neutral,110,4,6,11,"00:07:03,589","00:07:05,757" +1150,"God, oh it’s just perfect!",Phoebe,joy,positive,110,5,6,11,"00:07:05,925","00:07:09,219" +1152,I bet it has a great story behind it too.,Phoebe,joy,positive,110,6,6,11,"00:07:09,387","00:07:11,596" +1153,Did they tell you anything?,Phoebe,neutral,neutral,110,7,6,11,"00:07:11,764","00:07:13,890" +1155,"Yes! That I know, this is from White Plains.",Rachel,joy,positive,110,8,6,11,"00:07:14,058","00:07:16,935" +1156,"White Plains. Oh, it sounds like such a magical place.",Phoebe,joy,positive,110,9,6,11,"00:07:19,188","00:07:23,608" +1157,"So, you still don’t think I’m boyfriend material?",Chandler,anger,negative,111,0,3,25,"00:11:50,876","00:11:55,588" +1158,Huh?,Monica,neutral,neutral,111,1,3,25,"00:11:56,298","00:11:57,340" +1159,I saw you checking me out during the game last night.,Chandler,neutral,neutral,111,2,3,25,"00:11:57,508","00:12:00,844" +1160,"I, umm, shut up!",Phoebe,anger,negative,112,0,4,1,"00:13:29,892","00:13:32,101" +1161,“Good-bye Phoebe and Ursula. I’ll miss you. P.S. Your Mom lives in Montauk.” You just wrote this!,Phoebe,sadness,negative,112,1,4,1,"00:13:36,732","00:13:44,781" +1162,"Well, it’s pretty much the gist. Well, except for the poem. You read the poem, right?",Ursula,neutral,neutral,112,2,4,1,"00:13:45,991","00:13:53,331" +1163,Noooo!!,Phoebe,sadness,negative,112,3,4,1,"00:13:53,499","00:13:55,166" +1164,"All right, hang on!",Ursula,neutral,neutral,112,4,4,1,"00:13:55,918","00:13:57,752" +1165,"Rachel, it’s going to happen. Chandler is gonna move in here.",Monica,neutral,neutral,113,0,6,2,"00:18:52,923","00:18:59,303" +1166,But I,Rachel,sadness,negative,113,1,6,2,"0:18:59,513","0:19:00,015" +1167,"No-no, wait!",Monica,neutral,neutral,113,2,6,2,"0:19:00,015","0:19:02,147" +1168,"Just let me finish, okay?",Monica,sadness,negative,113,3,6,2,"0:19:02,147","0:19:02,469" +1169,"This isn’t something that we just, we just impulsively decided in-in Vegas, this is something we both really want.",Monica,neutral,neutral,113,4,6,2,"00:19:03,308","00:19:09,856" +1170,And it,Monica,neutral,neutral,113,5,6,2,"00:19:11,525","00:19:14,068" +1171,It is? Really?,Rachel,surprise,negative,113,6,6,2,"00:19:14,862","00:19:19,699" +1172,"Yeah, sweetie.",Monica,neutral,neutral,113,7,6,2,"00:19:20,159","00:19:21,826" +1173,"I mean we’re not, we’re not gonna live together anymore?",Rachel,sadness,negative,113,8,6,2,"00:19:23,620","00:19:27,540" +1174,No.,Monica,sadness,negative,113,9,6,2,"00:19:28,792","00:19:29,876" +1175,What? Oh my God! I’m gonna miss you so much!,Rachel,sadness,negative,113,10,6,2,"00:19:33,213","00:19:35,965" +1176,I’m gonna miss you!,Monica,sadness,negative,113,11,6,2,"00:19:36,175","00:19:37,967" +1177,I mean it’s the end of an era!,Rachel,sadness,negative,113,12,6,2,"00:19:39,094","00:19:40,928" +1178,I know!,Monica,sadness,negative,113,13,6,2,"00:19:41,138","00:19:42,638" diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/multimodal_baseline.ipynb b/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/multimodal_baseline.ipynb new file mode 100644 index 0000000..0aba847 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/multimodal_baseline.ipynb @@ -0,0 +1,582 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "# import os\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import keras\n", + "\n", + "\n", + "from keras.preprocessing.text import Tokenizer\n", + "from keras.preprocessing.sequence import pad_sequences\n", + "\n", + "from keras.utils import to_categorical\n", + "from keras.layers import Dense, Input, GlobalMaxPooling1D, Reshape,LSTM\n", + "from keras.layers import Conv1D, MaxPooling1D, Embedding, Concatenate, AveragePooling1D\n", + "from keras.layers import Conv2D, MaxPooling2D, BatchNormalization, Flatten\n", + "from keras.layers import GlobalMaxPooling2D, Conv3D, MaxPooling3D, ConvLSTM2D, Add\n", + "from keras.models import Model\n", + "from keras.initializers import Constant\n", + "import tensorflow as tf\n", + "\n", + "import pickle\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TEXT SECTION OF THE MODEL" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "MAX_UTTERANCE_LENGTH = 20\n", + "MAX_NUM_WORDS = 20000" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Load the data\n", + "pickle_text = open(\"X_dev_text_utterances.pickle\",\"rb\")\n", + "X_dev_text_utterances = pickle.load(pickle_text)\n", + "\n", + "# finally, vectorize the text samples into a 2D integer tensor\n", + "tokenizer = Tokenizer(num_words=MAX_NUM_WORDS, filters='!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\\x97\\x92\\x98\\x85\\x91')\n", + "tokenizer.fit_on_texts(X_dev_text_utterances)\n", + "X_dev_text_sequences = tokenizer.texts_to_sequences(X_dev_text_utterances)\n", + "X_dev_data_text = pad_sequences(X_dev_text_sequences, maxlen=MAX_UTTERANCE_LENGTH)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X_dev_data_text.shape # <---- This is the data to be fed as input to the NN" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "X_dev_embedding_matrix = open(\"X_dev_embedding.pickle\",\"rb\")\n", + "X_dev_embedding_matrix = pickle.load(X_dev_embedding_matrix)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "num_words = len(X_dev_embedding_matrix)\n", + "EMBEDDING_DIM = X_dev_embedding_matrix.shape[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1482\n" + ] + } + ], + "source": [ + "print(num_words)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# load pre-trained word embeddings into an Embedding layer\n", + "# note that we set trainable = False so as to keep the embeddings fixed\n", + "embedding_layer = Embedding(num_words,\n", + " EMBEDDING_DIM,\n", + " embeddings_initializer=Constant(X_dev_embedding_matrix),\n", + " input_length=MAX_UTTERANCE_LENGTH,\n", + " trainable=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"model_2\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "input_3 (InputLayer) (None, 20) 0 \n", + "_________________________________________________________________\n", + "embedding_2 (Embedding) (None, 20, 300) 444600 \n", + "_________________________________________________________________\n", + "conv1d_5 (Conv1D) (None, 16, 64) 96064 \n", + "_________________________________________________________________\n", + "max_pooling1d_3 (MaxPooling1 (None, 8, 64) 0 \n", + "_________________________________________________________________\n", + "conv1d_6 (Conv1D) (None, 4, 100) 32100 \n", + "_________________________________________________________________\n", + "global_max_pooling1d_3 (Glob (None, 100) 0 \n", + "=================================================================\n", + "Total params: 572,764\n", + "Trainable params: 128,164\n", + "Non-trainable params: 444,600\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "input_text_ = Input(shape = (MAX_UTTERANCE_LENGTH,), dtype = 'int32')\n", + "embedded_sequences = embedding_layer(input_text_)\n", + "output_text_ = Conv1D(64, 5, activation='relu')(embedded_sequences)\n", + "output_text_ = MaxPooling1D(2)(output_text_)\n", + "output_text_ = Conv1D(100, 5, activation='relu')(output_text_)\n", + "output_text_ = GlobalMaxPooling1D()(output_text_) #as in paper 100D textual features\n", + "\n", + "model_text = Model(inputs = input_text_, outputs = output_text_)\n", + "model_text.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# FRAME SECTION OF THE MODEL" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#Load frame data\n", + "pickle_frame = open(\"X_dev_frame_float32.pickle\",\"rb\")\n", + "X_dev_frame_float32 = pickle.load(pickle_frame)\n", + "\n", + "# Normalize Image\n", + "X_dev_frame_float32 = X_dev_frame_float32/255.0\n", + "# plt.imshow(X_dev_frame_float32[0][0])\n", + "print(X_dev_frame_float32.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "input_frame_ = Input(shape = (10, 84, 150, 3))\n", + "\n", + "output_frame_ = ConvLSTM2D(filters=32, kernel_size=(3, 3),\n", + " padding='valid', return_sequences=False)(input_frame_) #To understand more about return_sequences \n", + "output_frame_ = BatchNormalization()(output_frame_) #https://www.dlology.com/blog/how-to-use-return_state-or-return_sequences-in-keras/\n", + "output_frame_ = MaxPooling2D((2, 2), strides = 2)(output_frame_)\n", + "\n", + "output_frame_ = Conv2D(64, kernel_size=(3, 3))(output_frame_)\n", + "output_frame_ = BatchNormalization()(output_frame_)\n", + "output_frame_ = MaxPooling2D((2, 2))(output_frame_)\n", + "\n", + "output_frame_ = Conv2D(128, kernel_size=(3, 3))(output_frame_)\n", + "output_frame_ = BatchNormalization()(output_frame_)\n", + "output_frame_ = MaxPooling2D((2, 2))(output_frame_)\n", + "\n", + "output_frame_ = Conv2D(64, kernel_size=(3, 3))(output_frame_)\n", + "output_frame_ = BatchNormalization()(output_frame_)\n", + "output_frame_ = MaxPooling2D((2, 2))(output_frame_)\n", + "\n", + "output_frame_ = Conv2D(32, kernel_size=(3, 3))(output_frame_)\n", + "output_frame_ = BatchNormalization()(output_frame_)\n", + "# output_frame_ = MaxPooling2D((2, 2))(output_frame_)\n", + "\n", + "output_frame_ = Flatten()(output_frame_)\n", + "\n", + "# model = Model(inputs = [input_frame_], outputs = output_frame_)\n", + "# model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# AUDIO SECTION OF THE MODEL" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "#Load audio mfcc 40D features\n", + "\n", + "pickle_audio_mfcc = open(\"X_dev_audio_mfcc.pickle\",\"rb\")\n", + "X_dev_audio_mfcc = pickle.load(pickle_audio_mfcc)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "X_dev_audio_mfcc = X_dev_audio_mfcc.reshape(1102, 10, 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1102, 10, 4)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_dev_audio_mfcc.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "input_audio_ = Input(shape = (10, 4))\n", + "output_audio_ = Conv1D(16, 3, activation='relu')(input_audio_)\n", + "output_audio_ = MaxPooling1D(2)(output_audio_)\n", + "output_audio_ = Conv1D(32, 3, activation='relu')(output_audio_)\n", + "output_audio_ = MaxPooling1D(2)(output_audio_)\n", + "output_audio_ = Reshape((32,))(output_audio_)\n", + "# model_audio = Model(inputs = input_audio_, outputs = output_audio_)\n", + "# model_audio.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Concatenate Model" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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0qLKzs8ssfyNJZ86ckSQ9/fTTlT4eAAAAAABQuyp+eh8AwEZBQYHef/99SdKJEycUERGhoqIiZWRkSJLCwsL0xhtvKC4uTsePH5ckvf3223rnnXfMMRYvXqzg4GCVlJQoKytLu3btMh+k+sEHH+jEiRMKDw9XamqqoqKitH79erVv3145OTmyWq3y9/dXfHy8vv/+e3M5nIYNG6pZs2Zq2LChHc/Gb4KCgrR8+XIlJyfrmWeeKbO9sLCw3C8w0tPTdeDAAU2bNq3cAPlqO3fu1OrVqyVJGRkZWrBggQYMGKBHHnnEpl9CQkKFd81Xdr7c3FzFxMSY/VxdXTV+/Hj169fvujXW1fElJyfL19dXBQUF+uabb2z2s1gsOnz4sCRp7NixMgxDERER2rt3r9LT0zV79mzNmjWrzHy7d++Wk5OThg0bVqVjAgAAAAAAtcdiGIbh6CKux2KxKCEhgQABwP/H3p2HRXGl78O/GxBFREHcBRUxigqJDr+MC3EJGjDqoCYsrrjH6ChBURDcEhWXqIADZDIawLiGaNSgOOOIuEwIaBL9JpMIohIXFHELgoCynfcP366xBaS76Q24P9fVl/bpqnOePlTXU3W6+lSt6XN/0rNnT2RkZMDAd7nSwPb+/ftVWm/UqFHo3r07wsPDVVovMzMTvr6+SEtLU2k9ddX39pTl4eGBdu3aVTkffXWYj4mIiIiIiIg0i9PaEBFRrcXFxeHYsWPIzc1Vep2ioiJERkbiiy++0GJkDac9ZZ07dw6ZmZnYsmWLvkMhIiIiIiIiatA4OE9EpAOFhYUK/9Y3bdq0wTfffIOFCxeiqKhIqXWysrKwbt06ODo6ajm6htGeMnJychAaGoqkpCRYWFjoOxwiIiIiIiKiBo2D8/XcvXv3sH//fmmebEMmv/ki6U5d2j7qqsLCQixbtky6gaufn5/BTXGiKY6OjggNDUV0dLTSy+tygLi+t1eTsrIy7Ny5E3v27IGNjY2+wyEiIiIiIiJq8Dg4X49lZGRg9erV8Pb2xq5duxRe69+/PwIDA7XSbkxMDPr27QsLCwv06dMHcXFx1S777NkzrFu3DgMHDoS1tbXKbV26dAljx45Fq1at0Lp1a0yYMAE5OTkq1XHo0CF4e3tDJpNBJpPhzJkz1S77/fffS8t5enri9OnTKsdcnZSUFIwYMQIymQzGxsZwc3ODq6srBg8ejAULFuDevXsaawswzO0jKSkJI0eOlPrY1dUVrq6uePPNNzFmzBjExMSgpKREK3Fpi7m5OUJDQyGEgBACMTEx6N+/v77D0ho7OzssWbJE32FQFUxMTBAUFGRQXxgQERERERERNWQcnK/HHBwcqp1T2M7ODk2aNNF4m8HBwTh9+jRmz56NmTNnIjMzEzNmzEBUVFSVyzdu3BiLFi3C5cuXUV5erlJb6enpWL58OaZNm4akpCS8++67+OqrrzBlyhSV6hk3bhy+/PJL6XlYWFi1y0ZFRaFp06YAgOjoaAwdOlSltl7FxcUFsbGxAAB7e3v8+9//RnJyMg4cOID09HT06NEDP/30k8baM8TtY/jw4dL83HZ2dkhOTkZycjLOnz+P2bNnY/369XB0dMSlS5c0HhsREREREREREZEumeg7ANKuxo0bV1m+b98+jbeVnZ2NW7duYffu3VLZyJEj4e7ujq1bt2L+/PlVrtekSRO0adMGjx49Uqm9EydOYM+ePTAzMwMAxMbG4siRIzh37pzKscvrcHFxwdGjR3H16lV069ZNYZm7d+/i0aNH6NSpEzIyMtC2bVuV26lJhw4dAADGxsZSWZs2bbB161Y4Ojpi3bp1+OabbzTWniFuH/I+eDE2mUyG0aNHw9nZGc7OzvDw8MCvv/6qlS8QiIiIiIiIiIiIdIFXzpPG3Lhxo9KV2G5ubmjdurXGp2QBns/dLR9UlysrK8PMmTPVrtPf3x8VFRXYunVrpde2bduGuXPnql13bXTu3BkAcPv2bb20rwma2D7at2+PNWvW4Nq1a9Ve9U9ERERERERERFQX1KvB+aKiIuzZswcTJ06Ei4sL0tLS8Kc//QldunRBSkoKMjMzMW7cOLRu3Ro9e/asNEXIlStX4OXlhaVLl8LX1xeDBw/Gf//7XwDAL7/8Ajc3N8hkMnh4eODRo0cIDAxEp06dKs3X/SppaWlYvHgx7OzskJubC09PT1hbW8PJyQkHDx6UlsvPz0dQUBCCg4MREBAAd3d3BAQEIC8vT6VlXlZRUYH9+/dj2rRpGDJkCAAgISEBc+bMga2tLfLy8jBt2jS0atUKTk5OlfooKioKU6ZMwbx589CkSRNpbnCZTAYXF5cqryYvKSnBoEGDpOfFxcUICAjAnDlzsGLFCoSEhKCwsFDpPqzOypUrERERgYiICKns1KlTsLW1xdmzZ5WqY9y4cejcuTPi4uIU+rG0tBTHjx/HX/7yl2rX1eb2c/78eQDPr+wH6vf2URNPT08YGxvj3//+t9LrEBERERERERERGRxh4ACI+Ph4pZatqKgQV69eFQBEixYtRGJiorh06ZIAILp06SI2bdokHj9+LC5evCgAiKFDhyqs/9prrwl7e3shhBClpaXC0tJSODo6Sq8XFhaKXr16CTs7O/Hs2TPh4eEhMjMzlX4v5eXl4ujRo8LMzEwAEAsWLBBnz54Ve/fuFRYWFgKASElJEQUFBaJ79+7i448/lta9d++e6N69u+jatavIy8tTapkX+9DBwUF6fvPmTYWy7Oxs0axZMwFAhIaGihs3bojdu3cLAKJfv37SepGRkcLY2Fg8fPhQCCHE+vXrBQAREBBQ7XtOSUkRZmZm4sKFC0IIIcrKykS/fv3E7NmzpWWuXbsmTExMhLqb46FDh8TgwYMFAGFnZye++OIL6bVvv/1WNG3aVBw5cqTGeuTtb968WQAQn376qfTaV199JTZv3iyEEMLBwaHKWDW1/QAQ3bt3F+Xl5eLhw4fi8OHDonPnzqJ58+YiIyOjXm8f1cX0svbt2wtra+tqX6+OKvuThsrT01N4enrqOwwyQPz8EBEREREREWlWvRqcf3GdFwf2OnbsWGkwtU2bNsLS0lKhLCwsTOzbt08I8Xyg397eXjRq1EhhmR9//FGYmJiIAQMGiLi4OJXikuvevbsAIAoLC6WyiIgIAUCMHz9eLFu2TAAQOTk5Cuvt3LlTABCBgYFKLSNX1UDny2U9evSo1Edt27YVjRs3lp57eHgIIyMjUVJSIoQQ4tdffxUARP/+/at8n2VlZWLIkCFSnwohRFRUlAAg0tPTq+wTdfzxxx/i0qVLIioqSjRt2lQAEDt27FCIQxny9vPy8kSzZs2Era2tKC0tFUII4ebmJh49eiSEqH5wXlPbDwDp0aRJE9GpUycxa9YsaSC/Pm8fr4rpRba2tqJDhw7Vvl6dF/uWDz74UP3BwXkiIiIiIiIizWkQN4S1sLCoVNayZUtkZGQolC1cuBCFhYX47LPP8OjRIzx79gylpaUKyzg7OyMoKAjr16/H3//+d7XiMTJ6PptQ06ZNpTIPDw/4+/vjypUruHv3bpVxDx48GADw/fffw8TEpMZlVCGTySqVWVlZITc3V3r+zjvvICEhAYmJiRg7dqx0M05XV9cq6/zkk08wbNgwjB8/XiqTT0XSpUsXhWXlfaIOS0tLWFpaomfPnmjRogWmTJmCnTt3YurUqQAUb66qjBYtWmD69OmIjIzEN998AwcHB3Tt2hVWVlavXE+T24+DgwPS09OrfC0lJQVA/dw+lFFaWorc3FwMHz5cpfXk/P39MWDAALXWbQjCw8MBPN+eiV7k4+Oj7xCIiIiIiIiI6pUGMTivrB9++AE+Pj747LPPMG/ePOzZs6fSMkIIXLt2Dba2tpgyZQp+/PFHmJqa1rrtDh06AABsbW2Rn58PALh+/Tp69+4tLSOfr7tFixYoLi6ucRlNmz9/PszMzDBz5kykpKTgypUrWL16NUJCQiote/ToUZibmyMoKEihXH5D04cPH6Jjx44aj3HMmDEAUOu/iZ+fH6KjoxEeHg4nJyelBip1tf3Iv8ioj9uHMpKTk1FSUoJhw4apFeeAAQPg7e2t1roNwf79+wGAfUSVcHCeiIiIiIiISLPq1Q1ha8vX1xelpaUYMWIEgOc3x3zZp59+ivfeew+xsbH49ddfsWrVKo20/fDhQwDA8OHDpaubExMTFZa5deuWSstoWnl5OX799VekpaVh06ZNOHz4MFasWFHpyvQTJ04gOzu70sBramoqHBwcqoxbU3JycgAAI0eOVIi7JvK/tfzfbt26YfTo0Th37hxu376NXr16ScsKIaqsQ1fbT33ePmpSUlKCkJAQ9O3bF35+fhqNn4iIiIiIiIiISJfq3ZXzT58+BaA4gCqfWuTJkydo1qyZwnIVFRXSlcg5OTnIz8/HiRMncP/+feTl5QEAzp8/jw4dOuD27dv4+eefpUHFuXPnYtOmTXj33XelwVBVlJeXSwOXSUlJcHZ2xpw5c1BaWooDBw4gMjISvr6+aNeuHQAgOjoaLi4umD9/vlLLAJCuoJa/X3k/AJCu0H/5dbmCggIAQFlZGUxMTLBu3TocOXIETk5OyMrKQvPmzdGqVSt07dpVeh8nT57Ehg0b8N577yE6Olr6W2RlZcHc3BxLlixBfHw8QkJC0LlzZwwePBhpaWm4c+cOgOdXer885U11wsPD0aJFC7z//vto0aIFnj17hqCgIPj4+EjvPzExEePHj8f+/fulQfOq3Lt3DwCQm5uL9u3bA3g+rUdCQgLmzZunsGxhYaHUZ/KpWwDNbD83b94E8L+/W1UCAwPr7fYxYMCAKmMCgIsXL8Lf3x9//PEHEhMTpal7iIiIiIiIiIiI6qJ6Nbp17949bNy4EcDzQd6TJ0+ivLwcN27cAAAsW7YMq1atwt69e6WyLVu2YMaMGbC2tsa6desQEhKC5cuX429/+xuWLVuGjz/+GOvWrcPo0aMREhICT09PqT1LS0uUl5djzJgxCA8Px7Rp01SKNyIiAtOmTUNFRQVycnJw5swZmJiYwMTEBKmpqVizZg2mTp0KJycnGBsbw9raGsnJyUov8/vvvyMiIkLqj61bt8LLywtRUVEAgDt37iA8PBwlJSW4fv06ACA0NBQLFixAXFycNAXNihUrsGrVKgwYMADR0dGYOXOmwvto3bo1Pv/8c7Rv3x4eHh4oKipCcnKywjIymQxXr15F165dkZycjODgYHh5eaF169b44IMP0KdPH/Tq1QtZWVno1KmTUnPQ5+fn47PPPsPixYsxfvx4mJqaYv78+QrTnTRu3BjNmzdH48aNq60nISEBX3zxBQDggw8+wMKFC+Hq6oqhQ4fi/fffl67CT09Px549e5CdnQ0AmDp1KubOnYuhQ4cCQK23n169emHLli0AgBs3bmD+/PmYMmUK+vXrpxCvmZlZvd0+UlJSEBcXJ8X09ttvo3HjxmjcuDEaNWoEHx8fTJ06Febm5q/aNIiIiIiIiIiIiAyeTFQ3R4eBkMlkiI+Pr1fzH/fs2RMZGRnVTo9iqOLi4vDgwQMsWbIEwPNfHdy5cwenTp3C4sWLFW4OSg1PXdg+6uP+RNO8vLwA/G/ueSI5fn6IiIiIiIiINKteXTmvbzKZrMZlMjIydBCJ5m3cuBFLly6V5sYHnt+Y1MbGBm+99ZZGb+6qbD/26NFDY21S7ehy+yAiIiIiIiIiIqoPeENYDRJC1Pjo0aOHNGe5/N+64LvvvgMAfP755woDsBcuXMDSpUuxe/dujbWlbD+S4dDl9kFERERERERERFQfcHBehwoLC7Fs2TLcunULAODn54e0tDQ9R6WcL7/8EgsWLEBMTAxsbGzg4uICb29vXLhwAbt370avXr30HSLpEbcPqs6VK1ekeymUlZUhLCwMAQEBmDhxIgYPHowDBw6oVe+uXbvg4eGB4OBguLq6Yt68edJNmFV1584dxMXFwcfHBwMHDqz0+tChQyGTyap8XLt2TePtAUBMTAz69u0LCwsL9OnTR7oXw4te1Qfl5eVYunSpdG8IIiIiIiIiIjI8nHOeiBoMfe5PsrOzYWNjY/B1a3LO+TNnzmDbtm3YsWMHGjVqhJUrV8LLywtOTk4AgKioKCxYsACbN29GQECA0vX+4x//wIcffohjx47h3XffxaVLl9C7d2+MHTsWhw4dUivWW7duoVOnTnBwcEB6erpUnp6ejkmTJmHSpElo1aqVVH7u3DmkpKTg559/1mh7ABAcHIzs7GwMGDAAmZmZ2LZtG4qLixEZGYn58+cDUK4P/vjjD8yaNQubN2+GnZ2dWnG+iPmYiIiBQYljAAAgAElEQVSIiIiISLN45TwRkZZdv34dEydOrHN110Z6ejp8fX0RGRmJRo0aAXh+0+B79+5Jy/j6+gJQ/YuAnTt3AgDefPNNAECvXr3Qpk0bnDx5Uu14bW1tqyz/5ZdfcOLECQQEBGDq1KnS4+nTp9IXGZpsLzs7G7du3cKuXbswb948RERE4PDhwwCArVu3Sssp0wdWVlZYtWoVPDw86tQ0akREREREREQNBQfniYi06Pbt2xg9ejTu379fp+quDSEEJk+ejOnTp6Nly5ZSeUVFhcKV7Q8ePABQ/UB1deR1nj59GsDzKcMePnwIV1fXWkZemY+PD6ytrRXKSkpKcOjQIXh6emq8vRs3bkjTAMm5ubmhdevWCl9sKNsHr7/+Ouzt7bFkyRKNx0pEREREREREtcPBeSKiauTn5yMoKAjBwcEICAiAu7s7AgICpHm9t2/fDiMjI8hkMgBAQUEBwsLCFMp27NiB3377DXfv3sXcuXMBAGlpaVi8eDHs7OyQm5sLT09PWFtbw8nJCQcPHqxV3QBw6tQp2Nra4uzZs7rpqJckJCTgwoULGDFihEL58ePHERwcrLCciYkJVqxYoVL94eHhsLe3h7+/P27evImoqCgsWbIEe/fu1Uj8NTl+/DhsbGzg4OCg8bpdXFzQtm3bSuUlJSUYNGiQ9FyVPnB3d8f27duRlZWl8XiJiIiIiIiISH0cnCciqsKTJ0/w5ptvomnTpli/fj22bNmC3bt34+jRo3B2dsbjx48xe/ZsdO3aVVrHwsICixYtUihbtmwZAKBdu3b4+9//joqKCjx8+BCfffYZrl+/jtDQUHz00UeIiorCjRs38P777+P7779Xq265goICPHr0CPn5+Vrrn1eJj4+HTCbD//t//0+h3NHRER07dgQAlJaWIjo6Gjt27MDrr7+uUv3dunVDWloaunTpAhcXF9y7dw/r169H06ZNNfYeXiU+Pr5WU9qo6vvvv0dJSQnWrFkjlanSBwMGDEBZWRm+/vprncVMRERERERERDXj4DwRURU2bNiAzMxMzJkzRypr3bo1li9fjqysLKxbtw4ApPnUX1RVmZyRkRFGjRolTeWyYcMGDBo0CBMmTJAGXyMjI9WqW87DwwP5+fkYPXp0jctqQ2pqKlq0aAETE5Nql4mNjcVf//pXTJo0Sa02ioqKYGVlBScnJ4SFhSEwMBC6uL/506dPkZCQoLPB+fLycoSEhCA2NhZ9+/ZVeE3ZPpBfif+f//xHJzETERERERERkXI4OE9EVIWUlBQAz69Yf9HgwYMBPL+auTaMjJ7vfl+80tnDwwMAcOXKlVrVDQDGxsa1rkNdd+/ehZWV1SuXuXbtGvz9/dWq//z583B2dsbUqVNx+PBhuLi4YNOmTVi5cqVa9akiMTERnTp1Qs+ePbXeFgB88sknGDZsGMaPH69QrkofWFpaAgByc3N1EjMRERERERERKYeD80REVZAPnl+/fl2hXH4VcosWLTTeZocOHQCofoNUQ2NsbIzy8vJqXy8uLq50FbgqgoOD8eDBAwwdOhSmpqb46quvAADbtm1Tu05lxcfHa+VGsFU5evQozM3Nq5yTX5U+kN+jgIiIiIiIiIgMCwfniYiqIL9CPjExUaH81q1bAIDhw4cD+N/AZ0lJCQBACIHHjx8rrCOTyVBWVlZjmw8fPtRY3a8aHNe29u3bSzfNrYqZmRkmTJigdv3y/jA1NQUA2NjYoG3btlofhC4sLERiYqJOprQ5ceIEsrOzERQUpFCempoKQLU++OOPPwA8vzcBERERERERERkODs4TEVUhMDAQjo6OiIyMxN27d6Xy6OhouLi4YP78+QAABwcHAMDatWtx9epVbN26Fc+ePQMAHD9+HBUVFbC3t0dOTo40sP+iFwfRk5KS4OzsLM1zr27diYmJsLS0xL/+9S9NdonShgwZgoKCAjx58qTK1/38/DBq1KhK5Vu2bEHv3r2lq8CrM3HiRADAsWPHAAA3b95Ebm6uwtQvytYlV1xcDODVX2okJCSgc+fO6N27t9qxK9PeyZMnsWHDBpSXlyM6OhrR0dGIiorCokWLpPesTB/IPXjwAADw1ltvKRUbEREREREREelG9XfrIyJqwMzMzJCamoo1a9Zg6tSpcHJygrGxMaytrZGcnCzd7HTjxo24c+cOwsLCcO7cOURFReHgwYPo0qUL8vLyUFZWBi8vL+zYsQM//PBDpSlrIiIiMG3aNFRUVCAnJwdnzpypdd2NGzdG8+bN0bhxY9122v/P19cXMTExSE1NxTvvvFPp9adPn+Lp06eVyrOyspCRkYHFixdXOcgsN3fuXAghEB4ejh9//BFZWVlYuXIlQkJCVK4LAE6fPo19+/YBeD6N0aZNm+Dm5oY33nhDYbn4+Phqr5rXVHupqanw8PBAUVERkpOTFdaTyWS4evWq0n0gl5KSAmNjY3h7e78yLiIiIiIiIiLSLZkQQug7iFeRyWSIj4/noAIR1Zoh7U969uyJjIwMGNouWD74vH///lrVM2rUKHTv3h3h4eEqrZeZmQlfX1+kpaXVqn1N12WI7SnLw8MD7dq1q/Wc/Ib0+SEiIiIiIiKqDzitDRERaVxcXByOHTuG3NxcpdcpKipCZGQkvvjii1q3r8m6DLE9ZZ07dw6ZmZnYsmWLvkMhIiIiIiIiopdwcJ6ISA8KCwsV/q1v2rRpg2+++QYLFy5EUVGRUutkZWVh3bp1cHR0rHX7mqzLENtTRk5ODkJDQ5GUlAQLCwt9h0NEREREREREL+HgPBGRDhUWFmLZsmXSDVz9/PwMbhoUTXF0dERoaCiio6OVXl5Tg8iarMsQ26tJWVkZdu7ciT179sDGxkbf4RARERERERFRFXhDWCIiHTI3N0doaChCQ0P1HYpO2NnZYcmSJfoOo8ExMTFBUFCQvsMgIiIiIiIiolfglfNERERERERERERERDrGwXkiIiIiIiIiIiIiIh3j4DwRERERERERERERkY5xcJ6IiIiIiIiIiIiISMfqxA1hU1NT9R0CEdUT3J+8WnZ2NgDg66+/1nMkRERERERERET1m0wIIfQdxKvIZDJ9h0BEREQA4uPj4e3tre8wiIiIiIiIiOoFg79y3sC/OyAiJchkMg7qERERERERERERvYBzzhMRERERERERERER6RgH54mIiIiIiIiIiIiIdIyD80REREREREREREREOsbBeSIiIiIiIiIiIiIiHePgPBERERERERERERGRjnFwnoiIiIiIiIiIiIhIxzg4T0RERERERERERESkYxycJyIiIiIiIiIiIiLSMQ7OExERERERERERERHpGAfniYiIiIiIiIiIiIh0jIPzREREREREREREREQ6xsF5IiIiIiIiIiIiIiId4+A8EREREREREREREZGOcXCeiIiIiIiIiIiIiEjHODhPRERERERERERERKRjHJwnIiIiIiIiIiIiItIxDs4TEREREREREREREekYB+eJiIiIiIiIiIiIiHSMg/NERERERERERERERDrGwXkiIiIiIiIiIiIiIh3j4DwRERERERERERERkY5xcJ6IiIiIiIiIiIiISMc4OE9EREREREREREREpGMcnCciIiIiIiIiIiIi0jEOzhMRERERERERERER6RgH54mIiIiIiIiIiIiIdIyD80REREREREREREREOsbBeSIiIiIiIiIiIiIiHePgPBERERERERERERGRjnFwnoiIiIiIiIiIiIhIxzg4T0RERERERERERESkYxycJyIiIiIiIiIiIiLSMQ7OExERERERERERERHpmEwIIfQdBBHVH3PmzMHly5cVyi5cuAA7OztYWVlJZcbGxvjyyy9hY2Oj6xCJiIiIiIiIiIj0zkTfARBR/dK2bVts27atUvkvv/yi8Lxr164cmCciIiIiIiIiogaL09oQkUZNnDixxmVMTU0xbdo07QdDRERERERERERkoDitDRFpnKOjIy5duoRX7V4uX76M7t276zAqIiIiIiIiIiIiw8Er54lI43x9fWFsbFzlazKZDG+88QYH5omIiIiIiIiIqEHj4DwRadyECRNQXl5e5WvGxsaYOnWqjiMiIiIiIiIiIiIyLJzWhoi0YuDAgTh37hwqKioUymUyGW7duoWOHTvqKTIiIiIiIiIiIiL945XzRKQVU6ZMgUwmUygzMjLCW2+9xYF5IiIiIiIiIiJq8Dg4T0Ra4eXlValMJpPB19dXD9EQEREREREREREZFg7OE5FWtGrVCsOGDVO4MaxMJsO4ceP0GBUREREREREREZFh4OA8EWnN5MmTIb+thbGxMdzd3WFtba3nqIiIiIiIiIiIiPSPg/NEpDXvvfceTE1NAQBCCEyePFnPERERERERERERERkGDs4TkdaYm5tj9OjRAABTU1P85S9/0XNEREREREREREREhoGD80SkVZMmTQIAjBs3Dubm5nqOhoiIiIiIiIiIyDDIhHxCaDIIMplM3yEQEZGS4uPj4e3tre8wqIHy8vLCgQMH9B0GEZFB4+lu/fT111/Dx8dH32EQEWmcp6cn9u/fr+8wSIdM9B0AVebv748BAwboOwwi+Pj4aGR73L17N8aPHw8Tk/q3ywkPDwcALFy4UM+RkK7xhJAMQf/+/bn/IYOjqeOH+ozHD9qXmpqKiIgIfYdBWhYfH6/vEIgUcP9eM/n+mZ/fyuTbDzUs9W+krB4YMGAAr8Qkg+Dj46OR7dHDwwNNmjTRUFSGRf6NNj+zDQ8H58kQ2NjYcP9DBkdTxw/1GY8fdIOD8/UfP0NkaLh/V05ERAT7qAq8Yr5h4pzzRKR19XVgnoiIiIiIiIiISF0cnCciIiIiIiIiIiIi0jEOzhMRERERERERERER6RgH54mIiIiIiIiIiIiIdIyD80REREREREREREREOsbBeSIiIiIiIiIiIiIiHePgPBFpXf/+/REYGKjvMAzSlStXsGXLFgBAWVkZwsLCEBAQgIkTJ2Lw4ME4cOCAWvXu2rULHh4eCA4OhqurK+bNm4e8vDy16rpz5w7i4uLg4+ODgQMHVnp96NChkMlkVT6uXbum8fYAICYmBn379oWFhQX69OmDuLi4Ssu8qg/Ky8uxdOlS3L59W+X4iIhIN3j8UD1tHT8ok4NjY2Ph7e2N5cuXY/bs2di3b5/a7+NFkZGRkMlk0nPmaiJqyJgDq6etHKjMOearciDzFqnLRN8BEFH9Z2dnhyZNmuit/ezsbNjY2Oit/eqcOXMG27Ztw44dOwAAq1evhpeXF5ycnAAAUVFR8PLywubNmxEQEKB0vf/4xz/w4Ycf4tixY3j33Xdx6dIl9O7dGzk5OTh06JDKcXbo0AHDhw/HjBkz4ODgoPBaeno68vPzsXnzZrRq1UoqP3fuHFJSUmBvb6/R9gAgODgY2dnZmD17NjIzM7Ft2zbMmDEDhYWFmD9/PoCa+8DY2BhBQUGYNWsWNm/eDDs7O5XjJCIi7eLxQ9W0dfwA1JyD16xZg9jYWFy8eBGWlpbIy8tD3759cf/+ffj5+an9nn788UcsXbpUoYy5mogaMubAqmkrBypzjllTDmTeIrUJMigARHx8vL7DIBJC1I/t8ffffxeDBg3SWv2enp7C09NT5fUuXbokOnXqJB4+fCiV2djYiKSkJOn548ePBQDRr18/leoeOHCgACDu378vlbVp00ZYWFioHOeLAAgHBweFsq+++ko8ePCg0rLTp08Xa9as0Xh7t27dEpMmTVIoO378uAAgunXrJpUp2wc///yzcHR0FE+ePFErvrr++aC6Td39D5G21Yf9Y0M8fnhRVTn45s2bolGjRmL9+vUK5aGhoaJp06ZVHg8o448//hDLli0TPXr0EFWdnqqbq+Pj46usj+oH/n3JUNWH4zNt50B1P7/ayoHKnGOqkgNrc45ZH7YfUh2ntSGieuv27dsYPXo07t+/r+9QFAghMHnyZEyfPh0tW7aUyisqKhSubH/w4AEAwNbWVqX65XWePn0aAFBYWIiHDx/C1dW1lpFX5uPjA2tra4WykpISHDp0CJ6enhpv78aNG9JPGOXc3NzQunVr3Lt3TypTtg9ef/112NvbY8mSJRqPlYiI6qaGevxQk927d6O0tBTDhg1TKHd1dUVRURFiYmLUqnft2rUIDAxUmNLmRczVRES60xBzoDLnmKrkQOYtUhUH54lIayoqKrB//35MmzYNQ4YMAQAkJCRgzpw5sLW1RV5eHqZNm4ZWrVrByckJP/30EwAgLS0Nixcvhp2dHXJzc+Hp6Qlra2s4OTnh4MGDAIDt27fDyMhIOpErKChAWFiYQtmOHTvw22+/4e7du5g7d64U16lTp2Bra4uzZ8/qsjskCQkJuHDhAkaMGKFQfvz4cQQHByssZ2JighUrVqhUf3h4OOzt7eHv74+bN28iKioKS5Yswd69ezUSf02OHz8OGxubKn8OX1suLi5o27ZtpfKSkhIMGjRIeq5KH7i7u2P79u3IysrSeLxERKQ6Hj9UTdvHDzX57rvvAKDSNAfyAZCff/5Z5TojIyPh7e2N5s2bv3I55moiaiiYA6umzRyozDmmqjmQeYtUoucr9+klqAc/A6b6QxPb482bNxV+Gp2dnS2aNWsmAIjQ0FBx48YNsXv3bumnZ+Xl5eLo0aPCzMxMABALFiwQZ8+eFXv37hUWFhYCgEhJSRFCCGFvb1/p53Avl6GKn2V/++23omnTpuLIkSO1em9CqPezswkTJgiZTCZKS0urXaakpER069ZN7N69W6247t+/L1xcXISNjY1YtGiRWnW8rKq+rMqkSZPEJ598orP2UlJShJmZmbhw4YJCubJ9cPHiRQGg0k8UlYmP+2vSJ/7slQwVjx9qZqjHD3JVvf8+ffoIAKK4uFihvKioSAAQAwYMUKmN1NRUERYWJj13cHCodpoDdXI1pz2p3/j3JUOlieOz+p4D1fn86jIHClH5HFPVHKjuOSaP7xsmXjlPRFr18s/JOnbsiI4dOwIAQkJC0KlTJ0yaNAlt27bF//3f/8HIyAijRo2S1tuwYQMGDRqECRMmYM2aNQCeX2UFAI0aNarUXlVlL/Pw8EB+fj5Gjx5dq/emrtTUVLRo0QImJtXfkzs2NhZ//etfMWnSJLXaKCoqgpWVFZycnBAWFobAwEAIIdQNWWlPnz5FQkICvLy8tN4WAJSXlyMkJASxsbHo27evwmvK9oH8Kon//Oc/OomZiIhqxuOHynRx/PAq8qvbX55+Rv68pKRE6boePXqE7du3w9/fX6nlmauJqCFhDqxMlzmwqnNMVXMg8xapgoPzRKRzVc0pamVlhWfPnknPjYye756aNm0qlXl4eAAArly5UusYjI2Na12Huu7evQsrK6tXLnPt2jWlT1hfdv78eTg7O2Pq1Kk4fPgwXFxcsGnTJqxcuVKt+lSRmJiITp06oWfPnlpvCwA++eQTDBs2DOPHj1coV6UPLC0tAQC5ubk6iZmIiNTD4wftHj/URD5dXV5enkL5H3/8AQDo0KGD0nXNnTsXkydPRmZmJi5fvozLly9Lf8fLly9XmgaAuZqIGjrmQN3lwKrOMVXNgcxbpAoOzhNRnSFPeJq+wZmuGRsbo7y8vNrXi4uLK10Frorg4GA8ePAAQ4cOhampKb766isAwLZt29SuU1nx8fFauRFsVY4ePQpzc/Mq5xNUpQ+quwEdERHVDzx+0IzevXsDAO7cuaNQnpOTAwB46623lK4rISEBrq6ucHBwkB6///47gOcDIO7u7grLM1cTEamHOVA11Z1jqpoDmbdIFRycJ6I64+HDhwCA4cOHA6j8EzIhBB4/fqywjkwmQ1lZWaW6XpXYta19+/aVvnF/kZmZGSZMmKB2/fL+MDU1BfD8pjVt27bV+gFCYWEhEhMTdTKlzYkTJ5CdnY2goCCF8tTUVACq9YH8aod27dppM2QiItITHj9oxpQpU2BpaYlTp04plCcnJ8PU1BQTJ05Uuq7i4mIIIRQe8qsShRCVrvBkriYiUg9zoPJedY6pag5k3iJVcHCeiLTqyZMnAID8/Hyp7OnTp5WWKygoAIBKBwEvHgAkJSXB2dkZc+bMAfC/n5atXbsWV69exdatW6Wf9R0/fhwVFRWwt7dHTk4Obt26JdWTmJgIS0tL/Otf/9LEW1TZkCFDUFBQIPXNy/z8/DBq1KhK5Vu2bEHv3r2lq8CrIz8wOHbsGADg5s2byM3NVfhZnrJ1yRUXFwN49QFZQkICOnfuLF1VoE7syrR38uRJbNiwAeXl5YiOjkZ0dDSioqKwaNEi6T0r0wdyDx48AKDaFX9ERKRdPH6oTNvHD3LV5WArKysEBwfj888/l2IoKCjAtm3bsHz5ctjY2KjVnjKYq4moIWEOrEzbObCmc0xlc6Ac8xapovo7KRAR1VJRURHWrVsH4PnPv8LDw1FSUoLr168DAEJDQ7FgwQLExcXh9u3bAIAVK1Zg1apVUh0RERGYNm0aKioqkJOTgzNnzkg3gdm4cSPu3LmDsLAwnDt3DlFRUTh48CC6dOmCvLw8lJWVwcvLCzt27MAPP/wg/ZSvcePGaN68ORo3bqzD3vgfX19fxMTEIDU1Fe+8806l158+fVrlwVdWVhYyMjKwePHiKgeZ5ebOnQshBMLDw/Hjjz8iKysLK1euREhIiMp1AcDp06exb98+AMD169exadMmuLm54Y033lBYLj4+vtqr5jXVXmpqKjw8PFBUVITk5GSF9WQyGa5evap0H8ilpKTA2NgY3t7er4yLiIh0g8cPVdP28QNQc84PDAxEq1atMG/ePHTq1AmZmZlYsmQJZs+erVZ7ymKuJqKGgjmwatrMgcqeYyqTA+WYt0gVMiGE0HcQ9D8ymQzx8fH8AJNB0Of22LNnT2RkZMDQd1Hywej9+/ertN6oUaPQvXt3hIeHq7ReZmYmfH19kZaWptJ62q7LENtTloeHB9q1a6fynPzcX5O+qbv/IdI2Hj/UrC4fP+ijPXVy9ddffw0fHx+D3xZIPfz7kqHS5/FZXcmB6n5+60oOBNQ/x+TxfcPEaW2IiPQgLi4Ox44dU+nu7UVFRYiMjMQXX3xR6/Y1WZchtqesc+fOITMzE1u2bNF3KERERDXS9/GDPtpjriYiIqBu5ECAeYtUx8F5Mggv34CEqLCwUOHf+qZNmzb45ptvsHDhQhQVFSm1TlZWFtatWwdHR8dat6/JugyxPWXk5OQgNDQUSUlJsLCw0Hc4RKQG+c+MieR4/FBZXc75zNVERMpjDqxM1zmQeYvUwcF50qiYmBj07dsXFhYW6NOnD+Li4qpd9tmzZ1i3bh0GDhwIa2trldu6dOkSxo4di1atWqF169aYMGECcnJy1I59//79+Mtf/oI//elPcHd3x5gxYzB//nxs3LgRS5YsUbve2npVnyYlJWHkyJGQyWSQyWRwdXWFq6sr3nzzTYwZMwYxMTHSXdjrisLCQixbtky6+Yyfn5/BTYOiKY6OjggNDUV0dLTSy2sqwWuyLkNsryZlZWXYuXMn9uzZU+nmPUT1Xf/+/REYGKjvMFQWFRUl5Tv5Y+vWrSrV8d133yE4OFhaf+rUqUhISNBSxMo7ffo0vL29pbg+/PBDfP/99/oOq07h8cOrl6+LOZ+5mrShruZATZz7MgfWX8yBr15eVzmQeYvUxTnnDUxdnsM4ODgY2dnZGDBgADIzM7Ft2zYUFxcjMjIS8+fPr3Kdp0+fomPHjnj06JFK842lp6dj2bJl8PX1RZcuXRAWFoZdu3Zh2LBhSEpKUinuBw8ewNvbG7du3cKePXvw5z//GQAghMDevXvx0UcfYezYsXqZjkOZPr1z5w46duwIOzs7ZGVlSbEnJibC398fRkZGOHz4MHr16qVy+3V5e9QVzgnXcPHzQfqm7v5nwoQJeO2117B69WpthFWj7OxslU9YysrKMGTIEHh4eEhlJiYm8PX1RevWrVWOoUuXLrhx4waKiopgZmam8vqa8HI/FBcXo2nTpujcubN007e6ivvHmvH4Qfs4J3n9pu7fty7mQE2e+wLMgdrG/XvNuH+uHrefhslE3wFQ/ZCdnY1bt25h9+7dUtnIkSPh7u6OrVu3Vjs436RJE7Rp0waPHj1Sqb0TJ05gz5490sFEbGwsjhw5gnPnzqlUjxACY8eORXp6Oq5cuYKWLVtKr8lkMkyaNAk2Njb4/PPPVapXE5Tt0w4dOgCAwl3TZTIZRo8eDWdnZzg7O8PDwwO//vormjRpots3QUREBmffvn16a/v69evw9fXF2bNnVVpv3759mDx5MubOnauROOTHD/oalKiqH/QdExFRQ1AXc6Cmzn3l9J1vmAOJiBRxcJ404saNG5VuduHm5obWrVvj3r17Gm/Pz8+vUllZWRlmzpypUj0HDx5ESkoKPv30U4WB+RcNGTIEDx8+VCvO2tBEn7Zv3x5r1qzBrFmzsGXLFixbtkwboRIREdXo9u3bGD16NMrLy1VaTwiBjRs34ubNmzh06BAGDBiA6dOno0uXLtoJVMvU7QciIqq7arPv19S5ryFgDiQiqoxzztdxhYWFWLt2LaZMmYKPPvoIQ4cOVZh/NT8/H0FBQQgODkZAQADc3d0REBCAvLw8AEBCQgLmzJkDW1tb5OXlYdq0aWjVqhWcnJzw008/AQAOHDgAa2tryGQyrFixQqr773//O4yNjbF9+3a4uLigbdu2leIrKSnBoEGDpOfFxcUICAjAnDlzsGLFCoSEhGjkZiUrV65EREQEIiIipLJTp07B1tb2lVcmHDx4EAAwbNiwV9b/3nvvSf83tD6tiaenJ4yNjfHvf/9b6XWIiKj+qaiowP79+zFt2jQMGTIEgHI5Ky0tDYsXL4adnR1yc3Ph6ekJa2trODk5SXl0+/btMDIygkwmAwAUFBQgLCxMoWzHjh347bffcPfuXbKAyY8AACAASURBVJWugM/Pz4e7uzv69++P1NRUrF69Gg4ODlizZo3Ccsrk/erUhX540ZUrV+Dl5YWlS5fC19cXgwcPxn//+18AwJ49e2Bubg6ZTIaNGzdKAyB79+5F48aN8eWXXwJ4PrXgp59+ilmzZuHNN9/EO++8g19//RUVFRU4c+YMFi5cCDs7O9y5cwdDhw5F586dpWMdIqK6pq7mwKqoe+5bnbrWD8yBRFTvCDIoAER8fLxSy5aWloqhQ4eKKVOmiIqKCiGEEHFxcQKAOHLkiCgoKBDdu3cXH3/8sbTOvXv3RPfu3UXXrl1FXl6eyM7OFs2aNRMARGhoqLhx44bYvXu3ACD69esnrRcZGSkAiH/+859S2c2bN8XEiROrjS8lJUWYmZmJCxcuCCGEKCsrE/369ROzZ8+Wlrl27ZowMTER6m6Khw4dEoMHDxYAhJ2dnfjiiy+k17799lvRtGlTceTIkWrXf/PNNwUA8fjxY6XaM7Q+lQMgHBwcql2vffv2wtraWqn3+HK9ym6PDZWnp6fw9PTUdxikB/x8kL6ps/+5efOmQs6oKWeVl5eLo0ePCjMzMwFALFiwQJw9e1bs3btXWFhYCAAiJSVFCCGEvb19pXz+cllN+aomjx8/FqGhodKxg6p5X87BwUEhLkPpB2X757XXXhP29vZCiOfHg5aWlsLR0VF6ffny5QKA+O2336SymzdvinHjxknPZ8+eLTIyMqTnbm5uom3btuLBgwfi+++/F02bNhUAxPr160VSUpKYNWuWePLkSY2xyd8H94+vxuMH7YuPj1f7HIMMnzp/37qeA2t77ivHHKjdHMj9e824f64et5+GiTeENTCq3EArPDwcixYtwuXLl9G9e3cAQHl5OXbt2oWxY8di8+bNCA0NRU5ODtq1ayett2vXLvj6+iIwMBAbN26Eg4MDLl++rHAzjnbt2iEvLw9Pnz4FAJSWlqJbt27o06cPvv32WwDPv7F/77330KdPn0qxlZeXY9iwYfjwww8xfvx4AEB0dDTmz5+P9PR0ODg4SMv26NEDmZmZat0MJC8vDzk5OUhOTkZgYCCKioqwY8cOTJ06VYrD2Ni42vUHDBiAtLS0Sn1UneXLlxtUn8rJZDI4ODggPT29yrg7deqE8vJy3L59u8b3+HK9/v7+GDBggErrNSTh4eEAgIULF+o5EtI1Hx8f3vCQ9ErdG0a9nDOUyVnyXF1YWIimTZsCALZu3Qp/f3+MHz8e+/btQ8+ePZGRkaFQz8tlNeUrZW3btg1z5szBn/70J+mqPqDmvF9dXIbSD8r2T3h4ONq3b4/x48dDCIHXXnsNN2/eRElJCQDg0aNH6NKlC8aPH49t27YBADZs2AAnJyeMGjUK58+fR79+/aqs++jRoxg1apTUH48ePYKVlVWNffry++Dxw6vx+EH7UlNTERERwRsO1lPq3lCyLufA2p77VheXofRDfcmBXl5eyM7O5v79FeT75/j4eH2HYnDCw8NhY2PDG8I2NDr8IoCUABWuNPLw8BAARGFhYZWvDx06VACo9A3v9evXBQDx1ltvCSEqf3NeXdmWLVuEkZGRuHbtmigpKRHe3t7VxrZixQqxevXqKuMtLi6usS117Nq1SwAQrq6uSq8zY8YMAUAkJycrtbyh9akcXnGVQUlJiTA1NRUjR46s8f1VVS8ffPBR/YNXhpI+qXtlDaCYM5TJWVUtk5WVJQAIZ2dnpet5uW11lZeXCzMzM9GsWTO11lc2T+u6H1TpnydPnojo6GixZs0aYWNjU6nNkJAQYWpqKm7fvi2EEGL48OGirKxMCCFEVFSUwlWGVanN8Zm+98188PHig+onda+8Bep+DhRCvXPf6uJStow5UDmenp563+/xUbcfvHK+4eGc83VYbm4ugOdzrlXFyOj5n/f69esK5fJ5zFu0aKFSe7NmzYK5uTmioqJw+PBheHp6Vrnc0aNHYW5urjCXOgDpqm1t3Vx1zJgxAABTU1Ol15HPN5iWlqbU8obWp8pITk5GSUlJjfPqVyc+Ph5CCD6qeXh6esLT01PvcfCh+wdRQ9ehQwcAgK2trc7bNjIyQsuWLdGtWzedt/0yXfbD/fv3UVZWhh9++AFOTk7o2rUrli9fjmbNmlVadtGiRTA1NUVERAR++ukn/PnPf5auqHz48CGysrJQVFRUab2KigqNxMrjh1c/ePyg/QevyCRt0mcOBNQ799UG5sCqcf+u3P5Z33EY4qO6MSGq3zg4X4e98cYbAIDQ0FAI8b+Bohs3buCf//wnBg8eDABITExUWO/WrVsAgOHDh6vUXvPmzTFr1izExsYiPj4e48aNq7TMiRMnkJ2djaCgIIXy1NRUaSqbl+PRlJycHADAyJEjpbKa7gI/efJkODs7Y+vWrdL6L3v27Bl27twJAAbXpzUpKSlBSEgI+vbtCz8/P5ViIyIiehX5l+3y3Ce/2Zv8Z+VCCDx+/FhhHZlMhrKyslq3fefOHdy5c0ea2keupryvDbrsh3nz5sHY2Bi+vr4oLS3FiBEjAFQ9mGBtbY25c+fi888/x9/+9jfMmDFDes3BwQFFRUXYuHGjwjrp6emIiopSOS4iooZGnzkQUO/cVxuYA4mIao+D83XY0qVLYW5ujv3792P48OH47LPPsHLlSqxfvx4jRoxAYGAgHB0dERkZibt370rrRUdHw8XFBfPnzwcAaQ65FxUUFABApaTp5+eHJ0+eoG/fvjAxMVF47eTJk9iwYQPKy8sRHR2N6OhoREVFYdGiRTh27BiWLFkCExMThISE4Pjx4yguLsapU6dw584dAJWvRn+V8PBwxMbGSon+2bNnCAoKgo+Pj/S+EhMTYWlpiX/961/V1mNkZITdu3ejSZMmeOutt3Do0CHpoEYe36hRo9CjRw8AMLg+lcdZVZsXL17EO++8gz/++AN79uypVDcRETU8T548AQDk5+dLZarkrBdP/JOSkuDs7Iw5c+YAgPQl/Nq1a3H16lVs3boVz549AwAcP34cFRUVsLe3R05OjvSltjJWr16Njz76CBkZGVK8c+fOxdixY7F06VJpOWXyvpz8arkXr5rTdz/IB1oKCgoULroAnv+95syZgyZNmkAmkyEnJwe3b9/GiRMnsHfvXuTl5QEAzp8/j+zsbGm9gIAAlJSU4ObNm7C3t5fKx4wZg65du2L16tWYOXMm9u7dixUrVsDf3x/Tp09X6I/CwsIaepOIqG6oizkQ0Ny5rxxzIHMgERkYQQYFUG0O4//+97/C3d1dWFlZiY4dOwp/f3/x+PFj6fWCggIRGBgo3NzcREBAgAgMDBSrV68Wz549E0IIER0dLc1rtXbtWvH48WMREREhlS1durTSHPH+/v7i4cOHCmUv3tH85YdMJhPXrl0TQghx9uxZ4eLiIiwsLETXrl3Fhg0bxODBg8WHH34oTp48KcrLy5V63x9//LHo1q2bsLKyEnPnzhUfffSRSEpKUljmxIkTokOHDkrNJ19QUCA2btwoRo0aJezs7ISjo6Po06ePWLZsWaX3akh9+t1334mZM2dK5UOHDhXu7u7Cw8NDvP/++yI6Olrpu8pXRdXtsSHi3dQbLn4+SN9U3f8UFhaK4OBgKWeEhYWJDRs2KJWz5HOvbt68WTx48EDcu3dPbNiwQSHHZGZmin79+glzc3Ph5uYmMjMzxaBBg8SUKVPEV199JZ49eyaCg4NF+/btxTfffKN03HFxcaJPnz7C3NxcTJw4UcyYMUMkJCRUWk6ZvP+f//xHLF26VHp/kyZNEt9++63SuVtb/ZCcnCzGjBkjtefg4CDefvtt8fbbb4sePXqIxo0bCwDiyy+/FEI8P9Zo0aKF+POf/yzS0tLE1q1bhZWVlRgzZkyl44nRo0eLXbt2VeqL69evCw8PD9GyZUvRrl078cEHH4j79++LwsJCsXr1aimWDz74QFy8eFHpv5cQ3D8qg8cP2qfunORUN6j6962rOVAIzZ37Mgf+jzZzIPfvNeP+uXrcfhommRAvfS1JeiWTyRAfHw9vb299h0LE7VEJ8ikVeDf1hoefD9I3Xe5/evbsiYyMjEpXszU0da0fioqK8MYbb+CXX36BmZmZztrl/rFmPH7Qvq+//ho+Pj515vNKqtHl37eu7fu1pa71g75yIPfvNeP+uXrcfhomTmtDBkUmk9X4uHz5sr7DJCIiIg1g3teu6OhoLFiwQKeDEkREpBzmQO1iDiSiuoKTUJNB4TenREREhkc+52phYSHMzc01Vm9dy/va6gdNOnfuHD744AMUFRWhvLxcmqufiIjUwxz4HHMgEZF28Mp5IqIG5vfff8ff/vY3bNq0CVevXtVZu5poS1+xEzVUhYWFWLZsmXTTNj8/P6Slpek5Kt2rS/1gbm6O/Px8GBkZYe/evTA1NdV3SEREdVJd2vdrU13qB+ZAIqqLODhPRGRArly5gi1btgAAysrKEBYWhoCAAEycOBGDBw/GgQMH1K67oKAACxYswDvvvIPXX38dS5YsQbdu3VSu586dO4iLi4OPjw8GDhxY5TJRUVGVfpa7detWncQeGRkJmUwmPS8vL8fSpUtx+/ZttdsnaqjMzc0RGhoKIQSEEIiJiUH//v31HZbO1aV+cHR0xO+//47Lly8bbIxUe9o6XlAmx8fGxsLb2xvLly/H7NmzsW/fPrXfx4uYv8nQ1KV9vzbVpX5gDmwYtJUDY2Ji0LdvX1hYWKBPnz6Ii4urtMyrciDzFqmL09oQkUHKzs6GjY1Nnau7Ns6cOYNt27Zhx44dAIDVq1fDy8sLTk5OAJ4PeHt5eWHz5s0ICAhQqe779+9jxIgRePLkCdLS0tCqVSu14+zQoQOGDx+OGTNmwMHBodLrZWVl2LdvHzZs2CCVmZiYwNfXV632VIn9xx9/xNKlSxXKjI2NERQUhFmzZmHz5s2ws7NTKw4iIjJ8DeH4QZvHCzXl+DVr1iA2NhYXL16EpaUl8vLy0LdvX9y/fx9+fn5qvyfmbyIizajveVBbOTA4OBjZ2dmYPXs2MjMzsW3bNsyYMQOFhYWYP38+gJpzIPMWqYtXzhORwbl+/TomTpxY5+qujfT0dPj6+iIyMhKNGjUCAMTFxeHevXvSMvLBbXXu3D5t2jT8/PPP2LlzZ60G5uVsbW2rfW3fvn2YPHkygoKCpEdAQABat26tVlvKxp6Xl4fDhw9XGZuVlRVWrVoFDw8Pab5MIiKqXxrC8YO2jxeA6nP8rVu3sGbNGsyZMweWlpYAAEtLS8yePRvBwcF4+PChWu0xfxMRaUZ9z4PayoHZ2dm4desWdu3ahXnz5iEiIgKHDx8GAOnX38rmQOYtUgcH54nIoNy+fRujR4/G/fv361TdtSGEwOTJkzF9+nS0bNlSKq+oqMChQ4ek5w8ePADw6oHxqhw9ehTHjh2Du7s7+vXrp5mgqyGEwMaNGxEUFAQ3NzesWrUK169fV7s+VWJfu3YtAgMDFX4S/6LXX38d9vb2WLJkidrxEBGRYWoIxw/aPl6oye7du1FaWophw4YplLu6uqKoqAgxMTFq1cv8TURUe/U9D2ozB964cUOaJkfOzc0NrVu3lgb+VcmBzFukKg7OE5HG5OfnIygoCMHBwQgICIC7uzsCAgKQl5cHANi+fTuMjIykk6+CggKEhYUplO3YsQO//fYb7t69i7lz5wIA0tLSsHjxYtjZ2SE3Nxeenp6wtraGk5MTDh48WKu6AeDUqVOwtbXF2bNnddNRL0lISMCFCxcwYsQIhfLjx48jODhYYTkTExOsWLFCpfq//PJLAECnTp0wZMgQWFhYwNnZGYmJibUP/iX5+flwd3dH//79kZqaitWrV8PBwQFr1qxRqz5lY4+MjIS3tzeaN2/+yvrc3d2xfft2ZGVlqRUPERFpHo8flKPt44WafPfddwBQaUoD+QDIzz//rHKdzN9ERMyDytBmDnRxcUHbtm0rlZeUlGDQoEEAVM+BzFukEkEGBYCIj4/XdxhEQgjVtseCggLRvXt38fHHH0tl9+7dE927dxddu3YVeXl5Qggh7O3txcu7nv+PvTuPjqJK2D/+NAlgwLAvAYEBWSaM0YHhVTYFBAWPYICZQGSVUZAB2ZFV0BGJgOyG8Dogi4oii6AIjAwIbpi4vKgzLiQgokDCLhBJQrb7+4Nf96Szdnd6o/P9nJOj3Kq693Z1dT1Vt6ur8pdJMuHh4cYYY3JycszOnTtNSEiIkWTGjh1rPvroI/PGG2+Y0NBQI8kcPHjQpbqt3nnnHVOpUiXz7rvvOvRa84qKijJRUVFOL5fXgAEDjMViMVlZWUXOk5mZaZo1a2Y2bNjgdP2NGzc2kszixYtNSkqKSUhIMA0bNjQWi8V8/vnnLve7sHWZ1+XLl01MTIwJDg42kszLL7/skb7Hx8ebJUuW2JYJDw8vsB1YffXVV0aSmTdvntN9yY/9NXzNHfsfwBM4fiiZK59fTx8v5FXY623VqpWRZNLT0+3K09LSjCTTvn17p9rwdH5v2rSpyPpw4+P9hb9ydv9eFnPQlc+vNzPQGGMOHjxoQkJCzKFDh4wxzmegq+edHN+XTVw5D8At5s+fr6SkJI0cOdJWVrt2bc2aNUvHjh3T888/L0m2e8PlVViZVbly5dSzZ0/bN9Lz58/XPffcowEDBtiuxo6NjXWpbqvIyEhduXJFvXr1KnFeT4iPj1fVqlUVHFz0M7rXrl2rJ554QoMGDXK6/tOnT6tevXqaNGmSwsLC1LZtW82bN0/GGL344oul6XqxqlSpopkzZyouLk6StHLlSqfrKKnvFy9e1OrVqzVhwgSH6rNeEfHxxx873RcAgPtx/OA4Tx8vlMR6dXv+289Y/52ZmelwXeQ3AFxHDjrGmxmYk5OjmTNnau3atWrdurUk5zOQ3IIzGJwH4BYHDx6UJIWGhtqVd+rUSZL06aeflqr+cuWu764qVapkK4uMjJQkHTlypFR1S1JQUFCp63DV6dOnVb169WLn+fHHHx0+gc0vLCyswMHVvffeK0lKTEx0qU5nDB8+XCEhIUpKSnJ62ZL6PmrUKA0ePFhJSUlKTExUYmKirl27Zpue/2eE1of3nDlzxpWXAgBwM44fHOfp44WShIeHS5LtNgtWv/76qySpfv36DtdFfgPAdeSgY7yZgc8++6y6deumhx9+2FbmbAaSW3BG0V85AYATrKF//Phx3XbbbbZy6zfGVatWdXub1gB09wPPvC0oKEg5OTlFTk9PT7d9Y++K5s2bF/jGvlatWpJk9zAdTylXrpxq1Kih2rVrO71sSX3fsWOHNm/eXOiy4eHhatasmd1BZ1EPmwMA+AbHD47z9PFCSazvT3Jyst29eVNSUiRJd999t8N1kd8AcB056BhvZeDOnTtVuXJlTZs2za7c2Qwkt+AMrpwH4BbWb/bzP6jzxIkTkqT77rtPUsGffRljdPnyZbtlLBaLsrOzS2zzwoULbqu7uKD3tHr16hX4Bj6vkJAQDRgwwOX6Bw4cqIyMDH399de2MutT7O+66y6X63VUcnKykpOT1a9fP6eXLanv6enpMsbY/VmvajDGFLgaxHplQ1hYmKsvBwDgRhw/OM7TxwslGTJkiKpVq6YDBw7Yle/fv18VKlTQwIEDHa6L/AaA68hBx3gjA/fu3auTJ08WGJiPj493OgPJLTiDwXkAbjF16lRFREQoNjZWp0+ftpXHxcWpY8eOGjNmjKT//hxs7ty5Onr0qJY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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Now concatenate all the layers to make a multimodal\n", + "concatenate = Concatenate()([output_frame_, output_audio_, output_text_])\n", + "y_predict_emotions = Dense(7, activation='softmax')(concatenate)\n", + "y_predict_sentiments = Dense(3, activation='softmax')(concatenate)\n", + "model = Model(inputs=[input_frame_, input_audio_, input_text_], outputs=[y_predict_emotions, y_predict_sentiments])\n", + "tf.keras.utils.plot_model(model, to_file='model.png', show_shapes=True, show_layer_names=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "__________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + "input_2 (InputLayer) (None, 10, 84, 150, 0 \n", + "__________________________________________________________________________________________________\n", + "conv_lst_m2d_1 (ConvLSTM2D) (None, 82, 148, 32) 40448 input_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "batch_normalization_1 (BatchNor (None, 82, 148, 32) 128 conv_lst_m2d_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "max_pooling2d_1 (MaxPooling2D) (None, 41, 74, 32) 0 batch_normalization_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "conv2d_1 (Conv2D) (None, 39, 72, 64) 18496 max_pooling2d_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "batch_normalization_2 (BatchNor (None, 39, 72, 64) 256 conv2d_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "max_pooling2d_2 (MaxPooling2D) (None, 19, 36, 64) 0 batch_normalization_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "conv2d_2 (Conv2D) (None, 17, 34, 128) 73856 max_pooling2d_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "batch_normalization_3 (BatchNor (None, 17, 34, 128) 512 conv2d_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "max_pooling2d_3 (MaxPooling2D) (None, 8, 17, 128) 0 batch_normalization_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "conv2d_3 (Conv2D) (None, 6, 15, 64) 73792 max_pooling2d_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "batch_normalization_4 (BatchNor (None, 6, 15, 64) 256 conv2d_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "max_pooling2d_4 (MaxPooling2D) (None, 3, 7, 64) 0 batch_normalization_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "conv2d_4 (Conv2D) (None, 1, 5, 32) 18464 max_pooling2d_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "batch_normalization_5 (BatchNor (None, 1, 5, 32) 128 conv2d_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "flatten_1 (Flatten) (None, 160) 0 batch_normalization_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense_5 (Dense) (None, 7) 1127 flatten_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense_6 (Dense) (None, 3) 483 flatten_1[0][0] \n", + "==================================================================================================\n", + "Total params: 227,946\n", + "Trainable params: 227,306\n", + "Non-trainable params: 640\n", + "__________________________________________________________________________________________________\n" + ] + } + ], + "source": [ + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Y_prediction: Label section of the model" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "pickle_y_dev = open(\"Y_dev_float32.pickle\",\"rb\")\n", + "Y_dev_float32 = pickle.load(pickle_y_dev)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1102, 7)\n", + "(1102, 3)\n" + ] + } + ], + "source": [ + "Y_dev_float32_emotions = to_categorical(Y_dev_float32[:,0]) #keras.utils\n", + "Y_dev_float32_sentiments = to_categorical(Y_dev_float32[:,1])\n", + "\n", + "print(Y_dev_float32_emotions.shape)\n", + "print(Y_dev_float32_sentiments.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### If need to inverse the one_hot_encoding\n", + "from numpy import argmax\n", + "\n", + "data = [1, 3, 2, 0, 3, 2, 2, 1, 0, 1]\n", + "data = array(data)\n", + "\n", + "encoded = to_categorical(data) # one hot encoe\n", + "\n", + "inverted = argmax(encoded[0]) # invert encoding" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# REMEMBER THE OPTIMIZATIONS" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "#Optimizations => image for audio, separable conv, augmentation, dropout, who is the speaker in the dataset,\n", + "# Optimizers = adam, etc. (Study), optimize nn using keras tuner" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# DEFINE MODEL" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "from keras.callbacks import ModelCheckpoint, EarlyStopping" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer = 'adam', loss = 'categorical_crossentropy', metrics = ['accuracy'])\n", + "\n", + "# log_dir= path + \"logs/fit/\" + datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\n", + "\n", + "filepath = \"save_checkpoint/\" + \"final_weights_improvement-{epoch:02d}-{val_acc:3f}.hdf5\"\n", + "\n", + "early_stop = EarlyStopping(monitor = 'val_acc', min_delta = 0.001, patience = 10, mode = 'max', verbose = 1)\n", + "checkpoint = ModelCheckpoint(filepath, monitor = 'val_acc', verbose = 1, save_best_only = True, mode = 'max')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train on 826 samples, validate on 276 samples\n", + "Epoch 1/50\n" + ] + } + ], + "source": [ + "# fit network\n", + "history = model.fit([X_dev_frame_float32], [Y_dev_float32_emotions, Y_dev_float32_sentiments],\n", + " epochs = 50,\n", + " batch_size=64,\n", + " validation_split=0.25,\n", + " callbacks = [early_stop])" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'plt' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'loss'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'train'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;31m#plt.plot(history.history['val_loss'], label='test')\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined" + ] + } + ], + "source": [ + "plt.plot(history.history['loss'], label='train')\n", + "#plt.plot(history.history['val_loss'], label='test')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Save history pickle" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/unimodal_text_1.ipynb b/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/unimodal_text_1.ipynb new file mode 100644 index 0000000..f597939 --- /dev/null +++ b/src/MULTIMODAL-EMOTION-RECOGNITION-master/model/unimodal_text_1.ipynb @@ -0,0 +1,3291 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import os\n", + "\n", + "# import matplotlib.pyplot as plt\n", + "import keras\n", + "\n", + "\n", + "from keras.preprocessing.text import Tokenizer\n", + "from keras.preprocessing.sequence import pad_sequences\n", + "\n", + "from keras.utils import to_categorical\n", + "from keras.layers import Dense, Input, GlobalMaxPooling1D, Reshape, LSTM, Lambda, Bidirectional\n", + "from keras.layers import Conv1D, MaxPooling1D, Embedding, Concatenate, AveragePooling1D, TimeDistributed\n", + "from keras.layers import Conv2D, MaxPooling2D, BatchNormalization, Flatten, MaxPool2D, Conv2D\n", + "from keras.layers import GlobalMaxPooling2D, Conv3D, MaxPooling3D, ConvLSTM2D, Add, Dropout, Masking\n", + "from keras.models import Model\n", + "from keras.initializers import Constant\n", + "import tensorflow as tf\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip3 install --trusted-host files.pythonhosted.org --trusted-host pypi.org --trusted-host pypi.python.org contractions\n", + "# !pip3 install --trusted-host files.pythonhosted.org --trusted-host pypi.org --trusted-host pypi.python.org spacy\n", + "pip install contractions --user" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import contractions" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('dev_sent_emo.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      Sr No.UtteranceSpeakerEmotionSentimentDialogue_IDUtterance_IDSeasonEpisodeStartTimeEndTime
      01Oh my God, he’s lost it. He’s totally lost it.Phoebesadnessnegative004700:20:57,25600:21:00,049
      12What?Monicasurprisenegative014700:21:01,92700:21:03,261
      23Or! Or, we could go to the bank, close our acc...Rossneutralneutral104400:12:24,66000:12:30,915
      34You’re a genius!Chandlerjoypositive114400:12:32,33400:12:33,960
      45Aww, man, now we won’t be bank buddies!Joeysadnessnegative124400:12:34,21100:12:37,505
      \n", + "
      " + ], + "text/plain": [ + " Sr No. Utterance Speaker \\\n", + "0 1 Oh my God, he’s lost it. He’s totally lost it. Phoebe \n", + "1 2 What? Monica \n", + "2 3 Or! Or, we could go to the bank, close our acc... Ross \n", + "3 4 You’re a genius! Chandler \n", + "4 5 Aww, man, now we won’t be bank buddies! Joey \n", + "\n", + " Emotion Sentiment Dialogue_ID Utterance_ID Season Episode \\\n", + "0 sadness negative 0 0 4 7 \n", + "1 surprise negative 0 1 4 7 \n", + "2 neutral neutral 1 0 4 4 \n", + "3 joy positive 1 1 4 4 \n", + "4 sadness negative 1 2 4 4 \n", + "\n", + " StartTime EndTime \n", + "0 00:20:57,256 00:21:00,049 \n", + "1 00:21:01,927 00:21:03,261 \n", + "2 00:12:24,660 00:12:30,915 \n", + "3 00:12:32,334 00:12:33,960 \n", + "4 00:12:34,211 00:12:37,505 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "22" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(df.Utterance_ID.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ross 217\n", + "Phoebe 185\n", + "Rachel 164\n", + "Joey 149\n", + "Monica 137\n", + "Chandler 101\n", + "Frank 17\n", + "Carol 13\n", + "All 10\n", + "Susan 10\n", + "Dr. Long 8\n", + "Joanna 7\n", + "Estelle 7\n", + "Tag 7\n", + "Max 5\n", + "Bob 5\n", + "Kori 4\n", + "Jen 4\n", + "Whitney 4\n", + "Lauren 4\n", + "Woman 4\n", + "Janine 4\n", + "Alice 3\n", + "Kyle 3\n", + "Ross and Rachel 3\n", + "The Hot Girl 3\n", + "Gary 3\n", + "Waitress 2\n", + "Kate 2\n", + "Guy 2\n", + "Cliff 2\n", + "Jeannine 2\n", + "TV Announcer 2\n", + "Dr. Harad 2\n", + "Ursula 2\n", + "Carl 1\n", + "Mark 1\n", + "The Dry Cleaner 1\n", + "Cookie 1\n", + "Stage Manager 1\n", + "Doctor 1\n", + "Monica and Rachel 1\n", + "Elizabeth 1\n", + "Passerby 1\n", + "Mrs. Green 1\n", + "Mrs. Geller 1\n", + "Charlie 1\n", + "Name: Speaker, dtype: int64" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.Speaker.value_counts() # Total speakers 47" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      UtteranceUtterance_IDSpeakerEmotionSentiment
      0Oh my God, he’s lost it. He’s totally lost it.0Phoebesadnessnegative
      \n", + "
      " + ], + "text/plain": [ + " Utterance Utterance_ID Speaker \\\n", + "0 Oh my God, he’s lost it. He’s totally lost it. 0 Phoebe \n", + "\n", + " Emotion Sentiment \n", + "0 sadness negative " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[(df.Dialogue_ID == 0) & (df.Utterance_ID == 0)][['Utterance', 'Utterance_ID', 'Speaker', 'Emotion', 'Sentiment']]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import LabelEncoder\n", + "le = LabelEncoder()\n", + "\n", + "df[\"Emotion\"] = le.fit_transform(df[\"Emotion\"]) #neutral = 4\n", + " #surprise = 6\n", + " #fear = 2\n", + " #joy = 3\n", + " #sadness = 5\n", + " #disgust = 1\n", + " #anger = 0\n", + "df[\"Sentiment\"] = le.fit_transform(df[\"Sentiment\"]) #negative = 0\n", + " #neutral = 1\n", + " #positive = 2\n", + " \n", + "df[\"Speaker\"] = le.fit_transform(df[\"Speaker\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      Sr No.UtteranceSpeakerEmotionSentimentDialogue_IDUtterance_IDSeasonEpisodeStartTimeEndTime
      01Oh my God, he’s lost it. He’s totally lost it.3350004700:20:57,25600:21:00,049
      12What?2860014700:21:01,92700:21:03,261
      23Or! Or, we could go to the bank, close our acc...3541104400:12:24,66000:12:30,915
      34You’re a genius!532114400:12:32,33400:12:33,960
      45Aww, man, now we won’t be bank buddies!2150124400:12:34,21100:12:37,505
      \n", + "
      " + ], + "text/plain": [ + " Sr No. Utterance Speaker \\\n", + "0 1 Oh my God, he’s lost it. He’s totally lost it. 33 \n", + "1 2 What? 28 \n", + "2 3 Or! Or, we could go to the bank, close our acc... 35 \n", + "3 4 You’re a genius! 5 \n", + "4 5 Aww, man, now we won’t be bank buddies! 21 \n", + "\n", + " Emotion Sentiment Dialogue_ID Utterance_ID Season Episode \\\n", + "0 5 0 0 0 4 7 \n", + "1 6 0 0 1 4 7 \n", + "2 4 1 1 0 4 4 \n", + "3 3 2 1 1 4 4 \n", + "4 5 0 1 2 4 4 \n", + "\n", + " StartTime EndTime \n", + "0 00:20:57,256 00:21:00,049 \n", + "1 00:21:01,927 00:21:03,261 \n", + "2 00:12:24,660 00:12:30,915 \n", + "3 00:12:32,334 00:12:33,960 \n", + "4 00:12:34,211 00:12:37,505 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### contractions.add(\"y'know\", 'you know')\n", + "### contractions.fix('Monica's')\n", + "\n", + "### stemming and Lemma" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Oh my God, he is lost it. he is totally lost it.\n", + "What?\n", + "Or! Or, we could go to the bank, close our accounts and cut them off at the source.\n", + "you are a genius!\n", + "Aww, man, now we will not be bank buddies!\n", + "Now, there is two reasons.\n", + "Hey.\n", + "Hey!\n", + "Ohh, you guys, remember that cute client I told you about? I bit him.\n", + "Where?!\n", + "On the touchy.\n", + "And\n", + "No, I know!\n", + "I-I am sorry, but the moment I touch him, I just want to throw out my old oath and take a new, dirty one.\n", + "Well, next time your massaging him, you should try and distract yourself.\n", + "Yeah! Yeah! Yeah! Like-like when I am doing something exciting and I do not want to get\n", + "Thank you, Joey.\n", + "No-no, thank you.\n", + "Hey Estelle, listen\n", + "Well! Well! Well! Joey Tribbiani! So you came back huh? They\n", + "What are you talkin' about? I never left you! you have always been my agent!\n", + "Really?!\n", + "Yeah!\n", + "Oh well, no harm, no foul.\n", + "Okay, you guys free tonight?\n", + "Yeah!!\n", + "Tonight? You-you did not say it was going to be at nighttime.\n", + "Yes? Yes?! How can I help you?\n", + "Yeah, we were we were just looking around.\n", + "Oh-oh, you are-you are fellow scholars.\n", + "What exactly were you looking for, hmm?\n", + "Perhaps, perhaps Dr. Chester Stock's musings on the Smiledon Californicus?\n", + "Uhh .\n", + "Ah Ah Get out of here! Uh, meeting someone? Or-or are you just here to brush up on Marion's views on evolution?\n", + "Uh, actually I find Marion's views far too progressionist.\n", + "I find Marion's views far too progressionist.\n", + "I am sorry, who are you?\n", + "I am a professor here uh, Ross Geller.\n", + "Ross Geller, why do I know that name? it is uh Wait! Did you write this?\n", + "Yes! you are the person who checked out my book?!\n", + "you know, you look nothing like I would have thought. you are you are so young.\n", + "Well I uh, I skipped forth grade.\n", + "You had no right to tell me you ever had feelings for me.\n", + "What?\n", + "I was doing great with Julie before I found out about you.\n", + "Hey, I was doing great before I found out about you. You think it is easy for me to see you with Julie?\n", + "The point is I...\n", + "I do not need this right now, OK.\n", + "It, it is too late, I am with somebody else, I am happy.\n", + "This ship has sailed.\n", + "Alright, fine, you go ahead and you do that, alright Ross.\n", + "Fine.\n", + "because I do not need your stupid ship.\n", + "Good.\n", + "Good.\n", + "Oh, it is so romantic to send people off on their honeymoon.\n", + "you know, Monica and Chandler are married. Ross and Rachel are having a baby. Maybe you and I should do something.\n", + "All in good time my love.\n", + "All in good time.\n", + "Oh shoot!\n", + "I left my guitar in their apartment.\n", + "Well you can let me in later.\n", + "I do not have a key, they took mine to give to you.\n", + "What?! They took mine to give to you!\n", + "Why would they take away our keys?\n", + "Wow! It looks like we got a lot of good stuff.\n", + "Oh we did, but my mom got us the greatest gift of all.\n", + "A\n", + "No. she is going to live with us for eight weeks.\n", + "Uh, what?\n", + "Yes! she is going to help us take care of the baby! Woo-hoo.\n", + "What you are not serious.\n", + "I mean she is a very nice woman, but there is no way we can take eight weeks of her.\n", + "she will drive us totally crazy.\n", + "Hi Ross!\n", + "Hi roomie!\n", + "Hey! What did you decide to do about the movie?\n", + "I do not know!\n", + "it is not like it is porn!\n", + "This is a serious, legitimate movie.\n", + "And the nudity is really important to the story.\n", + "that is what you say about porn.\n", + "you are right. Maybe I should not even go on the call back.\n", + "No! No you should! A lot of major actors do nude scenes! I mean, the chance to star in a movie? Come on!\n", + "Well that is true.\n", + "And I am only naked in one scene.\n", + "Plus it sounds really great.\n", + "My character's catholic and he falls in love with this Jewish girl.\n", + "Who run away together and they get caught in this big rainstorm.\n", + "So we go into this barn and undress each other and hold each other.\n", + "it is really sweet and-and tender.\n", + "Hey, what is up?\n", + "Nothing, Monica and I had a stupid fight.\n", + "But you are still moving in together, right? Because my ad came out today.\n", + "\"Wanted. Female roommate, non-smoker, non-ugly.\" Nice!\n", + "Yeah?\n", + "I just figured you know, after living with you it would be an interesting change of pace to have a female roommate, you know?\n", + "Someone I can learn from, someone-someone who is different than me.\n", + "And what is more different than me. A guy who is\n", + "So where are we going next?\n", + "This witness will not return my calls so we are going to see if we can surprise him coming home.\n", + "Sur-surprise him? we are not, we are not going to make anybody mad are we?\n", + "Come on man! Listen so uh, are you going to squeeze the perps shoes a little bit before he lawyers up?\n", + "it is a witness not a perp. And no one talks like that!\n", + "Yeah, no one talks like that!\n", + "Oh what? Like your Mr. Cop!\n", + "Hey, I am more cop than you two!\n", + "How do you figure that?\n", + "Hello! I am in the front seat, okay? I am Gary's partner!\n", + "I guess so.\n", + "Here you go. Thank you!\n", + "Wait, Rach! where is the other one?\n", + "Oh what, you-you want both of them?\n", + "Rachel Karen Green, where is the other earring?!\n", + "Okay, okay, okay, look, just do not freak out, but I kinda lost it.\n", + "I know it is in the apartment, but I\n", + "Well, what am I going to tell Monica? She wants to wear them tonight!\n", + "Tell her to wear her own earrings.\n", + "These\n", + "Nooo! Nooooo! You lent me Monica's earrings?! I am not allowed to borrow her stuff!\n", + "Why not?\n", + "Because I lose her stuff!\n", + "Uh Phoebe, can I see you for a second?\n", + "Yeah!\n", + "what is going on?\n", + "Chandler's gone again!\n", + "Oh my God! Why would you play hide and seek with someone you know is a flight risk?!\n", + "Okay. You ready to push again?\n", + "I already had a baby. Leave me alone.\n", + "Okay, okay, come on, you can do it. You can do it!\n", + "Yeah!!\n", + "Little Leslie is here!\n", + "We got another one!\n", + "Oh my God, I can not believe I have two-two children.\n", + "How scary is that?\n", + "Come on little Chandler, it is time to be born. Come on little Chandler! Come on!\n", + "All right, he is coming. he is coming!\n", + "Hey, where is his thing?\n", + "Chandler's a girl!\n", + "Oh God, kindergarten flashback.\n", + "They musta read the sonogram wrong.\n", + "because they, because they thought it was a boy, but Chandler's a girl!\n", + "Chandler's a girl!\n", + "Okay, keep saying it!\n", + "Am I too late?!\n", + "No-no ah, everything's okay. Everybody's healthy there is 30 fingers and 30 toes.\n", + "We have our babies?\n", + "Yeah.\n", + "Oh, we have our babies.\n", + "Hey Toby!\n", + "Hey Bobby.\n", + "it is Bob actually. Hey, you work up here, can you tell me where this Chandler\n", + "Uhh yeah. Yeah, it is right, right down there. Right there, yeah. Can I ask you why?\n", + "I want to talk to that bastard, see what his problem is.\n", + "Okay Bob listen uhh, I am the reason you did not get the job up here.\n", + "Toby do not.\n", + "Bob!\n", + "Toby! I am not going to let you cover for him. Anything you say right now will just get me more upset with Chandler!\n", + "Thank you. Oh Joey and look at this crib! it is so cute!\n", + "I know! I found it on the street.\n", + "Are you serious Really?! it is in such good condition.\n", + "Yeah.\n", + "Wow! Whoa-whoa what is under the covers?\n", + "I do not know.\n", + "it is moving.\n", + "Ew.\n", + "it is still it is got a tail! Get it out of here! Get it out of here!!\n", + "Ooh! Ah! Okay!\n", + "Well, I went over to Kyle's last night to pick up a few things and we got to reminiscing\n", + "we talked through most of the night and we realized that the reason we were so angry at each other was because there are still feelings there. So\n", + "Oh just say it Kyle!\n", + "we are going to give it another try.\n", + "What about her whining and her constant need for attention?!\n", + "I am going to work on that.\n", + "Oh right, because you are so capable of change.\n", + "you know, he hums when he pees!\n", + "I do know.\n", + "It makes him miss the bowl, but whatever.\n", + "we are so sorry.\n", + "that is all right, we-we do not need you. In fact, hey I am over it already.\n", + "Yeah, and you know what? I do not give a tiny rat's ass.\n", + "Yeah, we are going to go.\n", + "I am sorry. Ugh, Pheebs, you were, you were right about her. you know, she\n", + "Oh. you know, he hums while he does other stuff to.\n", + "Yeah, we are better off without them.\n", + "And you know, even if they break up again, you would better not let him in your sad men's club!\n", + "Divorced men's club.\n", + "Why is not that valet back with my Porsche?\n", + "Maybe because you have got the keys?\n", + "This is totally your fault!\n", + "My fault?! You threatened the judge!\n", + "Well, you ripped the paper out of the court reporter's machine!!\n", + "Phoebe!\n", + "Yeah?\n", + "Have you seen Chandler?!\n", + "No! Why?\n", + "The woman from the museum called and said that there was a cancellation and that we could move up our wedding and Chandler heard!\n", + "I know!\n", + "How bad is this?\n", + "Well for the regular guy, it is bad, but Chandler, Oh dear God!\n", + "I know! I know! And he totally freaked out and I can not find him anywhere!\n", + "What are you going to do?\n", + "Well, I am never going to listen to you again, that is for sure!\n", + "\"you know, harm can it do if you go and put your name down?\"\n", + "Rachel said that!\n", + "Well Rachel's not here!\n", + "Come on, come on.\n", + "Damnit, damnit, damnit, damnit.\n", + "This is all your fault.\n", + "This is supposed to be, like, the greatest day of my life, you know?\n", + "My son is being born, and I should be in there, you know, instead of stuck in a closet with you.\n", + "The woman I love is having a baby today. I have been waiting for this just as much as you have.\n", + "No no no, believe me.\n", + "No one has been waiting for this as much as I have, ok?\n", + "And you know what the funny thing is?\n", + "When this day is over, you get to go home with the baby, ok?\n", + "Where does that leave me?\n", + "You get to be the baby's father.\n", + "Everyone knows who you are.\n", + "Who am I?\n", + "there is Mother's Day, there is Father's Day, there is no... Lesbian Lover Day.\n", + "Every day is Lesbian Lover Day.\n", + "This is so great.\n", + "You want to explain that?\n", + "I mean, well, because when I was growing up, you know my dad left, and my mother died, and my stepfather went to jail, so I barely had enough pieces of parents to make one whole one.\n", + "And here's this little baby who has like three whole parents who care about it so much that they are fighting over who gets to love it the most.\n", + "And it is not even born yet.\n", + "it is just, it is just the luckiest baby in the whole world.\n", + "I am sorry, you were fighting.\n", + "Okay, it is a typical New York City apartment. Two girls are just hanging out.\n", + "Hi, how are you doing Kelly?\n", + "I am doing just fine! God, Tiffany, you smell so great!\n", + "it is my new perfume. Why do not you come closer where you can\n", + "Oh, you know Joey, you are sick!\n", + "This is disgusting!\n", + "I am not reading this!\n", + "What?! Wait-wait-wait! The handsome man was about to enter!!\n", + "All right, I will give you this, Mr. Peanut is a better dresser.\n", + "I mean he is got the monocle, he is got the top hat...\n", + "You know he is gay?\n", + "I just want to clarify this: are you outing Mr. Peanut?\n", + "Danielle! Hi! Uh- everybody, this is Danielle, Danielle, everybody.\n", + "Hi. Hi.\n", + "What are you doing here?\n", + "Well, what?\n", + "What?\n", + "What is it?\n", + "That she left you?\n", + "That she likes women?\n", + "That she left you for another woman that likes women?\n", + "Little louder, okay, I think there is a man on the twelfth floor in a coma that did not quite hear you...\n", + "Then what?\n", + "My first time with Carol was...\n", + "What?\n", + "It was my\n", + "With Carol? Oh.\n", + "So in your whole life, you have only been with one oh.\n", + "Whoah, boy, hockey was a big mistake! There was a whole bunch of stuff we could have done tonight!\n", + "Hi. Where is everybody?\n", + "Oh, it is already closed, Chris gave me the keys to lock up-what is wrong?\n", + "My marriage, I think my marriage is um, is kinda over.\n", + "Oh no! Why?\n", + " because Carol's a lesbian. And, and I am not one. And apparently it is not a mix and match situation.\n", + "Oh my God! I do not believe it! Oh, you poor bunny.\n", + "I am an idiot.\n", + "I mean shoulda seen it, I mean Carol and I would be out and she would, she would see some beautiful woman, and, and she would be Ross you know look at her, and I would think, God, my wife is cool!\n", + "Aw! Hey, do you think that Susan person is her lover?\n", + "Well, now I do!!\n", + "I am sorry.\n", + "Seven years.\n", + "I mean we have been together seven years, she is the only woman who is ever loved me, and the only woman I have-I have ever....\n", + "Aw, God Ross. Oh.\n", + "I will do it.\n", + "No you will not.\n", + "Look he knows he did a terrible thing and I believe him, he is sorry.\n", + "But, you have got one more apology to make, all right, you have got to apologize to Mary-Angela.\n", + "Okay, absolutely!\n", + "All right.\n", + "you have got it.\n", + "Cookie, now you can punch him!\n", + "What?!\n", + "All right, that is it, I quit.\n", + "What? I did not say anything.\n", + "Yeah, but this is not the face of a person who trusts a person.\n", + "Ok, this is the face of a person who, you know, does not trust a person.\n", + "I am sorry. I am sorry, Phoebe. it is just a little shorter than what we had discussed.\n", + "Would you relax? I know what I am doing. This is how he wears it.\n", + "Julie.\n", + "What?!\n", + "Jody!\n", + "You were with Julie?\n", + "Look, when it started I was just trying to be nice to her because she was my brother's girlfriend.\n", + "And then, one thing led to another and, before I knew it, we were...shopping.\n", + "Oh. Oh my God.\n", + "Honey, wait. We only did it once. It did not mean anything to me.\n", + "Yeah, right.  Sure!\n", + "Really, Rachel, I was thinking of you the whole time.\n", + "Look, I am sorry, all right.\n", + "I never meant for you to find out!\n", + "Oh, please, you wanted to get caught.\n", + "That is not true!\n", + "Oh, so you just sort of happened to leave it in here?\n", + "Did it ever occur to you that I might just be that stupid?\n", + "Ok, Monica. I just have to know one thing. Did you go with her to\n", + "Yeah!\n", + "I can not say.\n", + "Why?!\n", + "Why not?\n", + "I can not say because he is famous.\n", + "Oh my God, who is it?!\n", + "Phoebe, come on, you have to tell us.\n", + "Okay, okay. it is James Brolin. James Brolin is the father of my baby.\n", + "As in Barbara Streisand's husband James Brolin?\n", + "What?! Well he never said that to me!\n", + "In\n", + "Oh, this life! Oh okay no, Chandler's is worse.\n", + "Man, it must be so cool remembering stuff like that! I do not have any past life memories.\n", + "Of course you do not sweetie. you are brand new.\n", + "I know Monica's worst Thanksgiving.\n", + "Oh, let us not tell this story.\n", + "Oh, come on!\n", + "Oh no, I know! I know! it is the one where Joey got Monica's turkey stuck on his head!\n", + "What?! Joey got a turkey stuck on his head?!\n", + "Hey, it is not like it sounds.\n", + "it is\n", + "Wendy, we had a deal! Yeah, you promised! Wendy! Wendy! Wendy!\n", + "Who was that?\n", + "Wendy bailed. I have no waitress.\n", + "Oh... that is too bad. Bye bye.\n", + "Ten dollars an hour.\n", + "No.\n", + "Twelve dollars an hour.\n", + "Mon. I wish I could, but I have made plans to walk around.\n", + "You know, Rachel, when you ran out of your wedding, I was there for you.\n", + "I put a roof over your head, and if that means nothing to you... twenty dollars an hour.\n", + "Done.\n", + "The reactor's going to blow in three seconds, we are never going to make it!\n", + "you have got to get out of here! Save yourself!\n", + "No! I will not leave you!\n", + "do not worry about me, I am a robot! I am just a machine!!\n", + "No you are not! Not to me!\n", + "Oh my God.\n", + "What?\n", + "I am\n", + "Yeah, you are great! Okay, let us take it from\n", + "No, I mean I was really acting my ass off.\n", + "Yeah, I thought I was pretty good too.\n", + "Oh yeah, you are solid. Yeah, you are just no me.\n", + "you know what? I think that is enough for now. Yeah. I do not want to be over rehearsed.\n", + "Fine!\n", + "I will do it without you!\n", + "I do not need you or anybody else!\n", + "I am going to make it on my own!\n", + "you will see!!\n", + "you will\n", + "I can not believe that Ross is gone. It is just so sad.\n", + "I did not know Ross and you were so close.\n", + "We were not but we had one class together. He was such a great guy and he talked so passionately about science. I always remembered him.\n", + "I am sure that would mean a lot to him.\n", + "And if heaven has a door, I am sure he is pressing his ear up against it and listening intently.\n", + "I thought so many times about calling him and asking him out. I guess I really missed my chance.\n", + "But you did not!\n", + "I am still alive!!\n", + "Kori, I know this is a big surprise for you.\n", + "it is a long story but the things you just said really made my day!\n", + "I mean, the fact that you are here means more to me than if this room were filled with people!\n", + "You sick freak, who does that? I can not believe I had a crush on you!\n", + "Did you hear that? Kori Weston had a crush on me!!\n", + "we will do a quick check.\n", + "Okay.\n", + "So, eight days late huh?\n", + "Yeah.\n", + "You must be a little uncomfortable.\n", + "Eh, just a tad.\n", + "you are about 80 percent effaced, so you are on your way.\n", + "It still could last a little while longer.\n", + "If you are anxious there are a few ways to help things along.\n", + "Do them!!\n", + "Actually, they are things you can do. Just some home remedies, but in my experience I have found that some of them are quite effective.\n", + "Well, we are ready to try anything.\n", + "Okay, there is an herbal tea you can drink.\n", + "Okay.\n", + "What is wrong with Emma?\n", + "Oh she misunderstood, she thought she was moving to Tulsa.\n", + "Anytime you are ready.\n", + "Ok, ok, here we go.\n", + "Ok, where am I talking to, here?\n", + "I mean, uh, well, there is one way that seems to offer a certain acoustical advantage, but...\n", + "Just aim for the bump.\n", + "Ok, ok, ok, ok, here goes.\n", + "You know, I, you know, can not do this.\n", + "Uh, this is too weird.\n", + "I feel stupid.\n", + "So do not do it, it is fine. You do not have to do it just because Susan does it.\n", + "Hello, baby. Hello, hello.\n", + "Oh, hi. it is Mark.\n", + "Easy. Easy. You have to go to the hospital. Okay?\n", + "Okay, I do.\n", + "Okay.\n", + "I really do.\n", + "Okay, I am going to get your coat and then I will-I will put you in a cab.\n", + "Okay. Oh wait, wait-wait, you are not going to come with me?\n", + "Of course I am. I just have to make a call.\n", + "Okay.\n", + "Okay?\n", + "Thank you. Oww!!!! God!\n", + "What?! I wh-, what is wrong?\n", + "I am sorry, I just can not go to the hospital lookin' like this.\n", + "Pete Becker is circling the ring now. It looks like, he is just trying to feel him out. Oh, Bruiser is just...\n", + "Run! Run you crazy, rich freak!\n", + "Oh, I can not watch this.\n", + "Check it out, he is winning! Pete's winning!\n", + "Really?!\n", + "No-o-o!!\n", + "Uh-oh, Bruiser has Becker on the canvas and is going for his favourite area.\n", + "Oh! Oh!\n", + "Wait, if that is his favourite area, why is he being so mean to it?\n", + "Well, this is ironic.\n", + "Of your last two boyfriends, Richard did not want to have kids, and from the looks of it, now Pete can not.\n", + "Dude, you do not have to brag! We got nothing here!!\n", + "Should we tell Rachel there is an empty private room right next door to hers?\n", + "We could, or we can have sex in it.\n", + "Well let me think about that, while I remove my pants!\n", + "I thought I was a complete idiot.\n", + "Hey, I am with you. He even asked me if I thought you would go out with him.\n", + "Oh! Oh, I think I am going to throw up a little bit. What did you say?\n", + "I said no.\n", + "What?!\n", + "What? I I just figured since you are pregnant you are not going to be seeing people.\n", + "Okay Joey, first of all Kash Ford is not people. Second of all, what did he say when you told him I was pregnant?\n", + "I did not tell him. I did not know if you were telling people. This is back when I thought Kash was still people.\n", + "Good-good, do not tell him. do not tell him. Just have him call me okay?\n", + "Rach look, I really do not think that is such a great\n", + "Okay, you go do it! I will come back to that set! I will meet more actors! I will meet em all!\n", + "Ohh, here you are. I was looking for you before. Joshua's gone so you and Emily are free to go.\n", + "that is okay.\n", + "she is still in there enjoying her fake party and uh, it is too late to do any of the things I had planned, so\n", + "Ah! Ah! I forgot my jacket!\n", + "You tell them to wait!\n", + "Okay. Wait! Wait!\n", + "Emily.\n", + "Oh no-no-no! Oh-no! No! No! Emily!\n", + "Hey. Call me when you get there. Okay?\n", + "Okay.\n", + "I know. you are the guy who would not chip in for the handyman.\n", + "Nevermind!\n", + "No, I-I actually thought it was unfair the way everyone reacted. I mean you had just moved in.\n", + "Jen.\n", + "Jen, I know this may sound a little But uh, would you maybe want to grab a cup of coffee sometime, or\n", + "Sure! That would be nice.\n", + "Umm?\n", + "Oh! My number is on there. Give me a call.\n", + "I will give you a call.\n", + "I will see you later.\n", + "Okay!\n", + "I forgot my paper.\n", + "Here we go. Okay, brace yourselves.\n", + "What?\n", + "Okay.\n", + "Ow!\n", + "are not you going to go?\n", + "No. Thank you.\n", + "No, Rachel never pees in public restrooms.\n", + "Well, they never have any paper in there you know. So my rule is no tissue, no tuschy.' Well, if everybody's going.\n", + "No, you know what do not close it because the... keys...are in there.\n", + "Oh, no-no-no-no-no-no!!\n", + "what is going on?\n", + "My lighter's in there!\n", + "I promise.\n", + "Although, do not feel like you can not visit.\n", + "Hey, is, is, is Chandler here?\n", + "No, no he is not.\n", + "You guys, Joey just saw Janice kissing her ex-husband.\n", + "What? So what are you going to do? I mean how, how are you going to tell Chandler?\n", + "Well, I was thinking about that and I, I think the best way would be, to not.\n", + "Joey, you can not keep this to yourself, if you know about this, you have to tell him.\n", + "it will kill him. I mean it will, it will just kill him.\n", + "Well, you could wait til I go to the dentist, maybe\n", + "Hey, what are you doing here?\n", + "Well, oh just ah, I was just wondering, when you and I split up, did you get the tape that was half the last episode of\n", + "Ah yeah, but now it is Susan and me in Mexico and the hostages coming home.\n", + "where is Ben?\n", + "he is sleeping.\n", + "Ahh. Ooh, is this a ah, is this a bad time?\n", + "Umm, yeah, actually, Susan's going to be home any minute, it is kinda an anniversary.\n", + "Oh! I thought you guys got married in uh, January?\n", + "it is not that kind of anniversary.\n", + "Ah! Oh.\n", + "Sooo!! Anyway...\n", + "Where are we going to find a tiny little hat?\n", + "Oh, oh, oh, I will get Rainy Day Bear'!!\n", + "Because he will know what to do? Oh my God, you are a genius!\n", + "Oh God, oh God, it is sowed on though.\n", + "Give it. Give it.\n", + "Okay.\n", + "Oh!!\n", + "Oh, it is just like a bloodbath in here today.\n", + "Please. This is so your fault.\n", + "How, how is this my fault?\n", + "Look, Carol never threw me out of a room before you came along.\n", + "Yeah? Well, there is a lot of things Carol never did before I came along.\n", + "Hey, hey, ok, all right, that is it!\n", + "Get in here.\n", + "Come on.\n", + "My god, you guys, I do not believe you.\n", + "There are children coming into the world in this very building and your negative fighting noises are not the first thing they should be hearing.\n", + "So just stop all the yelling, just stop it!\n", + "Yeah, Susan.\n", + "do not make me do this again, I do not like my voice like this.\n", + "Ok, who wants to hear something ironic?\n", + "Oh! Here it is! Ooh, Joey! Why did you sign it, \"Son of a bitch?\"\n", + "I did not do that! Who would have done that?!\n", + "Son of a bitch!\n", + "Okay, maybe ask this guy.\n", + "Oh, did I not mention? Carl is a guy I hired to be my identical twin for a medical research project.\n", + "you know sometimes the good ideas are just right in front of you, are not they?\n", + "Okay, I know it sounds crazy, but I think it might work. you know? The only problem is, Carl's acting is\n", + "The\n", + "Yeah, he is the reason I did not get that big\n", + "Hey, uh can I get a little piece of that cake?\n", + "Pizza!! We like Pizza!! Get out!!!\n", + "Hey Monica, there is a customer who wants to complement the chef, should I let him in?\n", + "Sure, I love this part!\n", + "Come on in.\n", + "Really? In the moment, I really wanted to kiss you too. In the moment.\n", + "In the moment, yeah.\n", + "But only in the moment. So do ya want to kiss again?\n", + "Sure, New Year's Eve is only two weeks away. Can you wait?\n", + "No.\n", + "Me neither.\n", + "3, 2,\n", + "Joey, you do not have to count down every time we kiss.\n", + "Uh, yeah, okay. Except I sorta felt like I needed a couple of seconds to get ready.\n", + "Alright. Phoebe?\n", + "Okay, okay.\n", + "If I were omnipotent for a day, I would want, um, world peace, no more hunger, good things for the rain-forest...And bigger boobs!\n", + "Yeah, see.. you took mine. Chandler, what about you?\n", + "Uh, if I were omnipotent for a day, I would.. make myself omnipotent forever.\n", + "See, there is always one guy. \"If I had a wish, I would wish for three more wishes.\"\n", + "Hey Joey. Hi. Hey, buddy.\n", + "Hey, Joey, what would you do if you were omnipotent?\n", + "Probably kill myself!\n", + "..Excuse me?\n", + "Hey, if Little Joey's dead, then I got no reason to live!\n", + "Joey, uh-\n", + "You\n", + "I am sorry.\n", + "Joey, onstage!\n", + "Well can you at least stay to the end of the play?\n", + "I mean, I will go to the airport with ya, I-I want to say good bye.\n", + "Where are you Vic?\n", + "Flight's in an hour. I-I got to go.\n", + "Vic! Vic!\n", + "In a minute!!\n", + "So this is it? Victor?\n", + "Yeah, I guess it is.\n", + "Listen, I ah, I got to say good bye, and-and I got to say it quick because this is killing me.\n", + "One thing you got to know, is that I will never forget you.\n", + "But, you have got things you have to do now, and so do I.\n", + "And so I am going to get on this spaceship, and I am going to go to Blargon 7 in search of alternative fuels.\n", + "But when I return, 200 years from now, you will be long gone.\n", + "But I will not have aged at all.\n", + "So you tell your great-great-granddaughter to look me up, because Adrienne, baby, I am going to want to meet her.\n", + "So long, Vic!\n", + "Nooo Way! The most romantic song ever is\n", + "See, I-I think that one that Elton John wrote for, um, that guy on\n", + "What song was that, Pheebs?\n", + "Hi Monica!\n", + "Hey Mon!\n", + "Hey Mon!\n", + "Oh my God, has she slept at all?\n", + "Nope.\n", + "No, it is been three nights in a row.\n", + "Yeah, she finally stopped crying yesterday, but then she found one of Richard's cigar butts out on the terrace, so.\n", + "Oh, okay that explains it.\n", + "I got a call at two in the morning, but all I could hear was, like, this high squeaky sound, so I thought okay its like a mouse or a opossum.\n", + "But then I realized where would a mouse or a opossum get the money to make the phone call.\n", + "So uh, man, are you going to go to the play with me tonight?\n", + "you know what, I do not know how comfortable I am going to see how hot the sex is between some guy and your girlfriend.\n", + "Yeah, I know but\n", + "Oh no-no-no, I am there.\n", + "Hey!\n", + "Hey Mon! Want some pancakes?\n", + "You made pancakes?\n", + "Yep! Grab a plate.\n", + "No-no, stay right there. Gettin' closer.\n", + "Okay, okay, but do not worry, because we also have cereals, muffins, waffles,\n", + "Listen also we are uh, we are watching the game here Saturday night, if people want to come over.\n", + "Oh yeah!\n", + "Yes, if the foxhole was lined with sandwiches.\n", + "Yeah, hero sandwiches.\n", + "Well you all know that I am a pacifist so I am not interested in war in any way.\n", + "When the revolution comes, I will have to destroy you all.\n", + "Not you Joey.\n", + "Oh my good God.\n", + "Hey! Continuing the countdown of your favorite meals. Tonight, No. 3, macaroni and cheese with cut up hot dogs.\n", + "Look, you have done enough! Okay? You have to stop this now.\n", + "I will! But not tonight. For dinner music, I thought we could listen to that tape you made me.\n", + "Oh, the mixed tape.\n", + "The Way You Look Tonight\n", + "You are just the sweetest.\n", + "Hey!\n", + "Hey!\n", + "Hey, guess what I am doing tonight.\n", + "What?\n", + "I am checking out the restaurant with Pete.\n", + "Ohh, Monica, I am so excited for you.\n", + "So honey this uh, this threesome thing umm, I mean how-how are you going to start to find\n", + "Ooh, actually I have been making a list of all the women I know who might be into doing this!\n", + "Oh. Wow! Huh. Boy! Well, someone's been doing their homework.\n", + "Yeah. Ooh, and I know Gail Rosten is in there twice, but she is so\n", + "Oh, I know. you know, just-just talking about it is getting me kinda\n", + "Oh, me too.\n", + "and then, we could have gone from the ceremony to the reception with you in the sidecar!\n", + "Ross, it just would not have been feasible.\n", + "But having a dove place the ring on your finger would have been no problem?\n", + "It was really fun being married to you tonight.\n", + "Yeah! And! And, it was the easiest 400 bucks I have ever made.\n", + "Okay Ross, can I uh, can I ask you something?\n", + "Yeah.\n", + "That proposal, at the planetarium\n", + "I know, I know it was stupid.\n", + "Are you kidding?!\n", + "With the, with the lilies, and-and the song, and the stars!\n", + "It was really wonderful!\n", + "Did you just make that up?\n", + "No, actually I thought about it when, when we were going out.\n", + "it is how I imagined I uh, I would ask you to marry me.\n", + "Well, that would have been very hard to say no too.\n", + "it is a good thing I did not do it, because it sounds like it would have been a very expensive wedding. Okay, good night\n", + "Goodnight\n", + "Even if the sidecar had a windscreen so your hair would not get messed up?\n", + "I will think about it.\n", + "that is all I am askin'\n", + "You guys! It was bananas, cream, and beef! I-I just cannot believe that you ate that so that I would not feel bad!\n", + "Well actually, I-I did not eat mine. it is still in the bathroom.\n", + "No it is not, I ate that.\n", + "Well we left ours in Monica's bedroom.\n", + "Nope, got it and I got yours too.\n", + "And that is I am so glad there is no problem.\n", + "that is fine, actually I am on the hiring committee, so there'll be at least one friendly face.\n", + "Ohh! that is great!\n", + "You know, Junior Miss is where I started. Oh, I had to sleep with the\n", + "Really?!\n", + "No-ho-ho!\n", + "Yeah.\n", + "I mean, no-no-no-no-no, do not you worry, I am sure with your qualifications you will not need to sleep with some guy to get that job.\n", + "Although, I might need some convincing.\n", + "Well, I, umm\n", + "Kidding! God, I feel wild today!\n", + "Oh my God! Chandler just left though!\n", + "Yeah but, maybe it is not what we think. Maybe it is tell Monica I am sorry I drank the last of the milk.\n", + "Or maybe he-he was writing to tell her that-that he is changed his name, you know? Tell Monica I am sorry.\n", + "I think it means he freaked out and left!\n", + "do not be so negative! Good God! is not it possible that Sorry is sitting in there right now?!\n", + "Okay. Phoebe, I-I think Ross is right. What are we going to do?\n", + "Look Okay, I am just going to I am going to have to go find him and bring him back!\n", + "Okay?\n", + "You-you make sure Monica does not find out, okay?\n", + "I will, I will find him.\n", + "Hey!\n", + "Hi! Hey!\n", + "Do you guys know any cute guys?\n", + "Well, of course I do! My good friend Joey over here.\n", + "Oh, I am sorry. Thank you Chandler.\n", + "Anyway, there is this big charity ball this weekend and Ralph Lauren bought a table, so I kinda have to go\n", + "what is the charity?\n", + "I do not know, something either trees or disease Ralph mumbles a lot.\n", + "Does Ralph mumble when you are not paying attention?\n", + "Yeah! it is weird. But the thing is need to find a date.\n", + "Well, what kind of guy are you looking for?\n", + "Hey!\n", + "What are you guys doing later?\n", + "Oh, Rachel and I have appointments to get our hair cut.\n", + "We do?\n", + "I want to see what he wants first.\n", + "I just found out that Elizabeth's dad wants to meet me.\n", + "Wait a minute, hold the phone! you are not Elizabeth's dad?!\n", + "Come on guys, I-I really want this guy to like me.\n", + "It-it would really help me out if you guys were here to make me look good.\n", + "Of course we will help! Yeah! we will be here!\n", + "Thanks!\n", + "We know how tough those parent/teacher conferences can be.\n", + "Oh, hi! How are you doing?\n", + "I am okay. I got to go down to the police station and look at mug shots.\n", + "Thanks for having me over, you guys.\n", + "Tag?\n", + "Y-you are going?\n", + "Uh we did not, uh we did not get the chance to talk.\n", + "Uh, so, where did you say you are from again?\n", + "Colorado.\n", + "Ah, what good are you.\n", + "Look, um, I think we should talk about what happened on the terrace.\n", + "Okay.\n", + "Ah, I-I never should have said what I said.\n", + "It you know what?\n", + "It just does not matter how I feel.\n", + "I mean we work together, so nothing could really ever happen between us, and what I would love is just to go to work on Monday, and-and never talk about this again, okay?\n", + "Um, I am not.\n", + "Oh, god, I knew it, that I freaked you out.\n", + "No, you did not. The only thing that freaked me out was you saying that nothing could ever happen between us.\n", + "Really?\n", + "Yeah, so, please do not fire me for doing this.\n", + "Get him! GET HIM! Get him! Get- YESSS! Not laughing now, are ya pal!\n", + "See buddy, that is all you need, a bunch of toothless guys hitting each other with sticks.\n", + "Pass it! Pass it!\n", + "he is open!\n", + "Shoot! Shoot! Shoot!\n", + "Hey, look, we are on that TV thing!\n", + "I am so psyched I kept this chair for myself!\n", + "Yeah, me too.\n", + "Yeah? Wow! you know, that this thing has speakers in the headrest!\n", + "No. Really?\n", + "Yeah! You can hook it up to your TV\n", + "My chair heals itself.\n", + "Tiger! Dragon! Iceberg!! Joseph, did you even study at all last night?\n", + "Yes! Yes, I did.\n", + "Then do Iceberg!\n", + "G-sharp.\n", + "G\n", + "What?! I did not touch a guitar!\n", + "No, but you are questioning my method!\n", + "No, I am not questioning it, I am saying it is stupid! What?!\n", + "Thank you.\n", + "you know none of my other student thought I was stupid.\n", + "Your other student, was you!\n", + "Yeah, well, you know maybe you just need to try a little harder!\n", + "Look, maybe I need to try a real teacher!\n", + "Right here!\n", + "Here!\n", + "Andy Cooper, he teaches guitar and look ooh, there is a nice picture of him with a little kid and\n", + "Fine! You go learn from your qualified instructor! But do not come crying to me when everyone's sick and tired of hearing you play\n", + "\"Baddest man in the whole damn town.\"\n", + "Oh, fine! Take his side!\n", + "And shame on you! You should know better, Joey needs to work. Now come on!\n", + "Hey!\n", + "No! Ah-ah-ah-ah-ah! You can have this back when the five pages are done! Ahh!\n", + "Hi!\n", + "Hi.\n", + "Hi. Umm, I think there is something that we really need to talk about.\n", + "I think we do. Why do not we go inside? Look uh, I know why you are here.\n", + "You do?\n", + "Yeah, and to save you from any embarrassment umm, I think maybe I should talk first.\n", + "Okay.\n", + "Okay. Uh, Ross and Rachel. Rachel and Ross. that is been one heck of a see-saw has not it?\n", + "What?\n", + "I mean look, that-that one night we had was fun and and certainly passionate, but do not you think it is better if we just stayed friends?\n", + "Seriously. What?!\n", + "Okay.\n", + "Okay.\n", + "you know what?\n", + "If you want to, we can do it one more time.\n", + "I mean I would-I would be okay with that.\n", + "In fact, I have some time right now.\n", + "Okay, you know what? Can I, can I talk now?\n", + "Oh sure.\n", + "I am pregnant. Ross? Ross? Okay, whenever you are ready. And you are the father by the way but you got that\n", + "We should defiantly play football more often. Maybe there is a like league we could join or something.\n", + "I know!\n", + "Yes! Wow, well, that-that was easy. Okay, you-you go.\n", + "Okay.\n", + "Okay.\n", + "Okay, you know, you know when your in bed, with a woman.\n", + "Hmph.\n", + "And, ah, you know, your fooling around with her.\n", + "And you get all these like, mental images in your brain, you know, like Elle MacPherson, or that girl at the Xerox place....\n", + "With the belly-button ring? Oh, muhawa!\n", + "I know, And then all of the sudden your Mom pops into your head.\n", + "And your like 'Mom, get outta here!'\n", + "You know, but of course, like, after that you can not possibly think of anything else, and you can not, you know, stop what your doing.\n", + "So it is kinda like, you are, you know.\n", + "You know.... You do not know!\n", + "Your Mom, your telling me, your telling me, about your Mom, what is the matter with you?\n", + "You said...\n", + "I said '\n", + "Oh!\n", + "Look at Emma!\n", + "I just can not decide who she looks more alike, you or Rachel?\n", + "Oh what are you kidding? she is gorgeous, it is all Rachel.\n", + "I am sorry, for the last time, why are not you two together again?\n", + "No, I know.\n", + "I know, because you are not in that place.\n", + "Which would be fine, except you totally are.\n", + "it is it is complicated okay?\n", + "Yeah that is true. Yeah, you love her. You always have. You have a child together. There is no right answer.\n", + "Look, we have been together.\n", + "Okay?\n", + "And then apart, and then together, and then apart, and now we have a baby.\n", + "it is just if-if we got together again and it did not work out I could never do that to Emma.\n", + "I mean she-she thinking everything Oh that is now me.\n", + "What do they put something in the water in this place?\n", + "Since Rachel and I we are doing really, we are doing really well right now.\n", + "I know. I know. I know. I know, and if you try to make it more you might wreck it.\n", + "Yeah, exactly.\n", + "Right. Or you might get everything you have wanted since you were fifteen.\n", + "God. I forgot how much I love driving. I have\n", + "You do not have a\n", + "Oh Ross you are so tense! You just got to relax, okay? Just need to relax all right? Just need to relax\n", + "What-what are you doing?! Are you Okay that is not funny! Just stop horsing around!\n", + "I am not horsing around, okay? I am Porsching around.\n", + "Uh-oh.\n", + "Okay, stay calm. Nothing is going to happen to you, you are not in that much trouble.\n", + "Really? You think so?\n", + "I was talking to myself! you are going down!\n", + "Hey honey! I missed you today!\n", + "Oh, yeah?\n", + "Yeah. What d'you want to do tonight?\n", + "Oh, well... Maybe we could...\n", + "Ok, trying to turn me on by making a mess?\n", + "Know your audience!\n", + "Besides, tomorrow we are doing those fertility tests and until then you need to keep your tadpoles in the tank.\n", + "We really need to take those tests?\n", + "Honey, we have been trying to have a baby for over a year.\n", + "I think it is a good idea to find out if everything's ok. Just a few routine tests.\n", + "But I do not want to do it in a cup!\n", + "Oh, hi Max! Hey, do you know everybody?\n", + "No. Have you seen David?\n", + "No, no, he has not been around.\n", + "Well, if you see him, tell him to pack his bags. We are going to Minsk.\n", + "Minsk?\n", + "Minsk. it is in Russia.\n", + "I know where Minsk is.\n", + "We got the grant. Three years, all expenses paid.\n", + "So when, when do you leave?\n", + "January first\n", + "You wanted to see me Professor Geller?\n", + "Yes. Yes! Please, come in.\n", + "Oo-oo!\n", + "Pretty great! Except I did get a little attitude from the robot.\n", + "Damn those robots, they are supposed to be our\n", + "Anyway, it was not the robot, it was the guy who controls him.\n", + "Yeah, he does not like me.\n", + "He had C.H.E.E.S.E.\n", + "knock over the sandwich right when I was reaching for one!\n", + "Ohh!\n", + "Well, why do not you just get him fired?\n", + "I may have to, I hate to do it, but I am the star!\n", + "you know?\n", + "there is a limit to how many sandwiches I can eat off the floor.\n", + "Excuse me.\n", + "Joey Tribbiani.\n", + "Joe! I am glad I found ya, I got an audition for ya!\n", + "Wow!\n", + "The thing is it is kinda on the Q.T.\n", + "The actor who has the part does not know he might be fired.\n", + "it is the lead in a series, Mac and C.H.E.E.S.E.\n", + "I am the lead in Mac and C.H.E.E.S.E.!!\n", + "Oh good God! If you want a baby so bad just go steal it!\n", + "What is going on with you? Since when are you so crazy about babies?\n", + "I am not crazy about babies. I am crazy about us.\n", + "What?\n", + "Look, we have always talked about having babies someday.\n", + "I am not saying it has to be right now, but I am starting to think that we can handle it.\n", + "we are good.\n", + "we are really good.\n", + "Oh, did you catch him?!\n", + "Wh-what did he say?!\n", + "He said, \"Nice to meet you Glenda.\" Well, obviously I could not give him my real name?\n", + "Why?! Why not?!\n", + "Come on, you saw the way he ran out of here!\n", + "he is going to stick around and talk to the daughter he abandoned!\n", + "What did you say to him?\n", + "Well, I said, I told him you know, that I was the executor person of Francis' will and that I needed to talk to him so I am going to meet him at the coffee house later.\n", + "Oh yeah, sure.\n", + "Okay, in about ten seconds you are going to see him kiss me.\n", + "And in about five seconds you are going to see why.\n", + "Ross did I ever tell you about the time that I went backpacking through Western Europe?\n", + "Okay, get ready to see some beggin'!\n", + "Oh, you came on to Ross!\n", + "What?!\n", + "Now I am so happy.\n", + "What are you talking about?!\n", + "You used the Europe story!\n", + "that is the magic story you use when you want to have sex!\n", + "How do you know about that story?!\n", + "How do\n", + "I heard it from my friend Irene who heard it from some guy!\n", + "Some guy!!\n", + "No. No, she told me his name was Ken Adams.\n", + "Ken Adams!!\n", + "How we doing, you guys ready?\n", + "Mom already called this morning to remind me not to wear my hair up. Did you know my ears are not my best feature?\n", + "Some days it is all I can think about.\n", + "Hi, sorry I am late, I could not find my bearings.\n", + "Oh... ok, fine.\n", + "But... ehm...\n", + "I just have one question for you, ehm...\n", + "When we exit should we walk, or run, or prance, or stroll...\n", + "Stop it, stop it! He talks slow but he might pee fast! Ok, let us go!!\n", + "I can not believe this! How long as this been going on?\n", + "Well umm, Alexandra has been\n", + "Oh, it has a name?\n", + "Phoebe, do not get upset!\n", + "Okay Oop! Too late! I am leaving! Come on Chandler let us go!\n", + "Well, Phoebe I thought I would Yeah, what the hell.\n", + "Ben!\n", + "Oh, that is good. Maybe he will hear you and pull the cord.\n", + "Stop the bus! Wait! Wait! Wait!\n", + "Are you sure he did not break it because it really hurts?\n", + "No, it is just a good bone bruise. And, right here is the puncture wound from your ring.\n", + "Oh, I am sorry, I am really sorry.\n", + "Sorry.\n", + "Sorry!\n", + "I got my s's back!\n", + "Which we can celebrate later.\n", + "Celebrate.\n", + "Ok, Paulo, why do not you just go get dressed, and then you be on your way, ok, bye-bye.\n", + "Rachel, how did this happen?\n", + "I do not know, I just kinda ran into him last night.\n", + "Where?\n", + "At his apartment. Is this juice?\n", + "Whoa, whoa. And the fact that you dumped him because he hit on Phoebe?\n", + "Oh God, I know I am a pathetic loser.\n", + "I licked my arm, what?\n", + "it is breast milk.\n", + "So?\n", + "Phoebe, that is juice, squeezed from a person.\n", + "What is the big deal?\n", + "What did you just do?\n", + "Ok, would people stop drinking the breast milk?\n", + "You will not even taste it?\n", + "No!\n", + "Not even if you just pretend that it is milk?\n", + "Not even if Carol's breast had a picture of a missing child on it.\n", + "Aww!\n", + "Hey Pheebs, could you please not put your feet up on my new old sheet?\n", + "Oh sure! Noo!\n", + "Ohh!!\n", + "My apothecary table!!!\n", + "What?!\n", + "Noooooo!!\n", + "Ross, where did you get this?!\n", + "Oh my God, Phoebe,\n", + "Wow! Oh my God, well if they have ripped off our table ours must be much more than one and fifty dollars!\n", + "Well this does not even smell like opium.\n", + "Of course not, it smells like wine, which you spilled! And thanks for wrecking my sheet by the way.\n", + "How is she?\n", + "it is too soon to tell. she is resting, which is a good sign.\n", + "how is the hair?\n", + "I am not going to lie to you, Ross, it does not look good.\n", + "I put a clip on one side, which seems to have stopped the curling.\n", + "Can we see her?\n", + "Your hair looks too good, I think it would upset her. Ross, why do not you come on in.\n", + "how are you doing?\n", + "Of course the packaging does appeal to grown-ups and kids alike.\n", + "Ross, you are being silly. I have tried it, it is no big deal. Just taste it.\n", + "That would be no.\n", + "Come on. It does not taste bad.\n", + "Yeah, it is kinda sweet, sorta like, uh...\n", + "Cantaloupe juice.\n", + "Exactly.\n", + "you have tasted it? you have tasted it.\n", + "Uh huh.\n", + "Oh, you have tasted it.\n", + "You can keep saying it, but it will not stop being true.\n", + "give me the bottle. give me the towel.\n", + "I still do not get why Greg and Jenny would give us a fake number.\n", + "you know, if they knew what they were doing they probably did not give you real names either.\n", + "Okay, maybe people give out fake numbers, but they do not give out fake names.\n", + "Oh yeah? Hi, Ken Adams, nice to meet you.\n", + "Regina Philange.\n", + "I still do not get it, we did not do anything wrong.\n", + "I know! Although, you did tell an awful lot of jokes.\n", + "I thought you said those jokes were funny. Joke! Joke! Joke!\n", + "Joke. Joke. Blah! Blah!\n", + "Well maybe it was all of your questions.\n", + "What about my questions?\n", + "No, I am sorry. it is just my foot itches like crazy.\n", + "Oh, I will get it.\n", + "Wow! I usually get to know a girl a little better before I let her spoon me.\n", + "Relax, it is not like we are forking.\n", + "Look at it! Ohhh! Wallpaper's a little faded, that is okay. Carpet's a little loose. Hardwood floors!!\n", + "Hey!\n", + "Hello.\n", + "Oh! Ooh! Oh Monica! it is so beautiful.\n", + "I know!!!\n", + "So, I am here, ready to play.\n", + "Okay.\n", + "I brought a bunch of stuff for the house, so check it out. Ha-ha.\n", + "what is this?\n", + "that is a dog, every house should have a dog.\n", + "Not one that can pee on the roof.\n", + "Well, maybe it is so big because the house was built on radioactive waste.\n", + "And is this in case the house sneezes?\n", + "No, no, that is the ghost for the attic.\n", + "I do not want a ghost.\n", + "Well, nobody wants a ghost. But you have got one, because the house is sitting on an ancient Indian burial ground.\n", + "Wait a minute, the house was built on radioactive waste, and an ancient Indian burial ground? That would never happen.\n", + "Okay, obviously you do not know much about the you.S. government.\n", + "Hey!\n", + "Hello.\n", + "I need to talk to you!\n", + "Sure, what is up?\n", + "All right, I just got changed in thirty seconds so you can be alone with him. you would better go for it.\n", + "Please, I am not going for anything.\n", + "Well, if you do not, I will.\n", + "Would you please go?\n", + "I would!\n", + "Hey, guys, guys, did you see my new, china cabinet?!\n", + "Uh-huh.\n", + "Watch, watch.\n", + "Ooohhhh!!\n", + "And, and!\n", + "Ahhhh!!\n", + "Hey, my Father's house does that!\n", + "O-o-o-okay, how did it go? Tell me everything.\n", + "Well, the movie was great, dinner was great, and there is nothing like a cool, crisp New York evening.\n", + "Okay. it is Emma.\n", + "Emma! See? I do not want it.\n", + "Take it.\n", + "What?\n", + "it is clearly an Emma.\n", + "Oh honey, but you love that name.\n", + "Yeah, but I love you more.\n", + "Besides you know, nothing goes with Bing.\n", + "So I am screwed.\n", + "Oh-oh, I am a duck! I go, \"Quack, quack!\" I am happy all the time!\n", + "Nice try.\n", + "Wait, wait, wait!\n", + "Look, Monica\n", + "Look!\n", + "This is not going to work.\n", + "I bet this will work!\n", + "You are so great! I love you!\n", + "What?\n", + "Nothing! I said, I said \"you are so great\" and then I just, I just stopped talking!\n", + "You said you loved me! I can not believe this!\n", + "No I did not!\n", + "Yes, you did!\n", + "No I did not!\n", + "You love me!\n", + "No I do not! Stop it! Stop it! Stop it! Stop it!\n", + "Hello Greg?\n", + "Hi, this is Monica from the plane?\n", + "Listen, the number that you gave me 853-5 That is their old number!\n", + "Jenny's been giving it out since they moved!\n", + "Jenny! That is so Jenny!\n", + "Hey listen umm, how would you like to get together?\n", + "Say next Saturday?\n", + "Okay, how about Sunday?\n", + "Okay umm, the week after that?\n", + "The week after that?\n", + "you know what Greg?\n", + "We are good, interesting, funny people with\n", + "Hey Chandler! you know that girl you went to college with who-who became a movie director?\n", + "Oh yeah, Dana Keystone. She was in my Movement class.\n", + "what is a Movement class?\n", + "it is Chandler's way of pretending he did not take mime.\n", + "Oh well listen, anyway she is directing the new Al Pacino movie. You got to get me an audition!\n", + "Oh, I do not know man. I have not talked to her in like ten years.\n", + "I am.\n", + "Joey, what are you talking about? you are a terrific actor.\n", + "You really think so?\n", + "Ugh, how can you even ask that question?!\n", + "Ross! Get a shot of this. (he is carrying an issue of the\n", + "Oh, okay, I am having another one!\n", + "This one does not hurt either Ooh, yes it does!\n", + "Ow!\n", + "Ow!\n", + "Ow!\n", + "Ow!\n", + "Ooh!\n", + "Oh, I was kinda hoping that was it.\n", + "Hey, where are Monica and Rachel anyway?\n", + "Yeah, I love you. Okay, bye! Hi!\n", + "Hi!\n", + "That was Alice's mom, she said she left five hours ago. She should be here by now!\n", + "Oh, honey, do not worry. she is going to make it on time.\n", + "Yeah.\n", + "I guess I set up the video camera to try and entice Joey.\n", + "But sadly I could not be enticed.\n", + "Unbelievable! I mean you really kept Joey's underwear?! Why? Why would you do that?!\n", + "I am Monica. I am disgusting. I stalk guys and keep their underpants.\n", + "Well, I think we have all learned something about who is disgusting and who is not.\n", + "Eh?\n", + "All right, now, I am going to get back to my bucket.\n", + "I am only eating the skin, so the chicken's up for grabs.\n", + "Ohh, okay, they gave you the old time pricing.\n", + "Yeah.\n", + "Well, what period is it from?\n", + "Uh, it is from yore. Like the days of yore. you know?\n", + "Yes, yes I do.\n", + "God, oh it is just perfect!\n", + "I bet it has a great story behind it too.\n", + "Did they tell you anything?\n", + "Yes! That I know, this is from White Plains.\n", + "White Plains. Oh, it sounds like such a magical place.\n", + "So, you still do not think I am boyfriend material?\n", + "Huh?\n", + "I saw you checking me out during the game last night.\n", + "I, umm, shut up!\n", + "“Good-bye Phoebe and Ursula. I will miss you. P.S. Your Mom lives in Montauk.” You just wrote this!\n", + "Well, it is pretty much the gist. Well, except for the poem. You read the poem, right?\n", + "Noooo!!\n", + "All right, hang on!\n", + "Rachel, it is going to happen. Chandler is going to move in here.\n", + "But I\n", + "No-no, wait!\n", + "Just let me finish, okay?\n", + "This is not something that we just, we just impulsively decided in-in Vegas, this is something we both really want.\n", + "And it\n", + "It is? Really?\n", + "Yeah, sweetie.\n", + "I mean we are not, we are not going to live together anymore?\n", + "No.\n", + "What? Oh my God! I am going to miss you so much!\n", + "I am going to miss you!\n", + "I mean it is the end of an era!\n", + "I know!\n" + ] + } + ], + "source": [ + "#python wrapper to convert str type to str2 type\n", + "class str2(str):\n", + " def __repr__(self):\n", + " # Allow str.__repr__() to do the hard work, then\n", + " # remove the outer two characters, single quotes,\n", + " # and replace them with double quotes.\n", + " return ''.join(('\"', super().__repr__()[1:-1], '\"'))\n", + "\n", + " \n", + "contractions.add(\"y'know\", 'you know') \n", + "\n", + "##\\x97\\x92\\x98\\x85\\x91 92-> ', 85-> , 97-> , 91 \n", + "\n", + "count = 0\n", + "for i in range(len(df.Utterance.values.tolist())):\n", + " new_string = ''\n", + " space_inserting_var = 1\n", + " for word in df.Utterance.values.tolist()[i].replace(\"\\x92\", \"'\").replace(\"\\x85\", \" \").replace(\"\\x97\", \" \").replace(\"\\x91\", \" \").split(\" \"):\n", + " if space_inserting_var == 1:\n", + " new_string = new_string + contractions.fix(str2(word))\n", + " space_inserting_var = space_inserting_var + 1\n", + " else:\n", + " new_string = new_string + ' ' + contractions.fix(str2(word))\n", + " print(new_string)\n", + " df.Utterance.values[i] = new_string" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### We can see max dialogues are 114. If we make utterances group of each dialogue (of 33), then the shape will be (114x33)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "114" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "max(df.Dialogue_ID.values + 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "from keras.preprocessing.text import Tokenizer\n", + "from keras.preprocessing.sequence import pad_sequences\n", + "from keras.utils import to_categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# BASE_DIR = '/home/ankur/Datasets/'\n", + "# GLOVE_DIR = os.path.join(BASE_DIR, 'glove.6B')\n", + "# TEXT_DATA_DIR = \n", + "MAX_UTTERANCE_LENGTH = 50 #Max sequence length paper is 69, average is 8.03\n", + "MAX_NUM_WORDS = 20000 #In paper 10,643\n", + "EMBEDDING_DIM = 300\n", + "# VALIDATION_SPLIT = 0.2" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# finally, vectorize the text samples into a 2D integer tensor\n", + "# tokenizer = Tokenizer(num_words=MAX_NUM_WORDS, filters='!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\\x97\\x92\\x98\\x85\\x91')\n", + "tokenizer = Tokenizer(num_words=MAX_NUM_WORDS, filters='\"#%&()?!,*+-./:;\\'<=>@[\\\\]^_`{|}~\\t\\n\\x97\\x92\\x98\\x85\\x91')\n", + "tokenizer.fit_on_texts(df.Utterance.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 0 [[12, 25, 62, 35, 3, 316, 5, 35, 3, 218, 316, 5]] emotion->[5] sentiment->[0]\n", + "0 1 [[15]] emotion->[6] sentiment->[0]\n", + "1 0 [[94, 94, 16, 90, 51, 4, 6, 425, 317, 161, 655, 9, 318, 181, 199, 95, 6, 656]] emotion->[4] sentiment->[1]\n", + "1 1 [[2, 11, 8, 426]] 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1294, 617, 29, 5]] emotion->[1] sentiment->[0]\n", + "92 0 [[427]] emotion->[6] sentiment->[2]\n", + "92 1 [[38, 352, 90, 2, 195, 7, 210, 45, 1295, 73, 29, 25, 150, 268, 633]] emotion->[1] sentiment->[0]\n", + "92 2 [[12, 121, 1296]] emotion->[3] sentiment->[2]\n", + "92 3 [[182]] emotion->[6] sentiment->[0]\n", + "92 4 [[25, 1297, 409]] emotion->[6] sentiment->[0]\n", + "92 5 [[15]] emotion->[6] sentiment->[0]\n", + "92 6 [[1298]] emotion->[2] sentiment->[0]\n", + "92 7 [[74, 85, 34, 2, 40, 20]] emotion->[6] sentiment->[0]\n", + "92 8 [[12, 25, 62, 128]] emotion->[0] sentiment->[0]\n", + "92 9 [[168, 12, 25, 62, 32, 59, 72, 22, 489, 199, 161, 409, 594, 380, 52, 159, 118, 206, 60, 9, 1299, 296]] emotion->[0] sentiment->[0]\n", + "92 10 [[32, 20, 106, 7, 135, 499, 47, 1300]] emotion->[1] sentiment->[0]\n", + "92 11 [[26, 197, 7, 5, 1301, 47, 1302, 265, 2, 1303, 9, 411, 43, 1304, 25, 633, 313, 6, 125]] emotion->[0] sentiment->[0]\n", + "93 0 [[61, 3, 56]] emotion->[5] sentiment->[0]\n", 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sentiment->[1]\n", + "94 5 [[1316, 419]] emotion->[3] sentiment->[2]\n", + "94 6 [[322]] emotion->[4] sentiment->[1]\n", + "94 7 [[2, 22, 422, 5, 2, 22, 422, 5]] emotion->[6] sentiment->[2]\n", + "94 8 [[58, 200]] emotion->[4] sentiment->[1]\n", + "94 9 [[12, 2, 22, 422, 5]] emotion->[0] sentiment->[0]\n", + "94 10 [[2, 36, 237, 238, 5, 37, 5, 42, 7, 122, 245, 278]] emotion->[4] sentiment->[1]\n", + "94 11 [[109, 28, 6, 1317, 109, 28, 6, 1318]] emotion->[0] sentiment->[0]\n", + "95 0 [[1, 136, 14, 7, 40, 70, 423, 9, 315, 41, 109, 124, 8, 303, 304]] emotion->[0] sentiment->[0]\n", + "95 1 [[2, 13, 59, 72, 376, 15, 72, 86, 81, 72, 570, 34, 7, 109, 2, 412, 634, 410]] emotion->[4] sentiment->[1]\n", + "95 2 [[19, 97, 141, 109, 49, 303, 1319, 37, 72, 14, 7, 109, 49, 303, 634]] emotion->[0] sentiment->[0]\n", + "95 3 [[12, 27, 88, 417, 418, 170, 4, 198, 2]] emotion->[4] sentiment->[1]\n", + "95 4 [[1320, 1321]] emotion->[4] sentiment->[1]\n", + "95 5 [[1, 136, 14, 7, 40, 5, 16, 34, 7, 14, 175, 236]] emotion->[6] sentiment->[0]\n", + "95 6 [[1, 13, 399, 2, 34, 80, 105, 1322, 204, 26, 635]] emotion->[0] sentiment->[0]\n", + "95 7 [[1, 108, 2, 110, 264, 635, 86, 293, 266, 266, 266]] emotion->[6] sentiment->[2]\n", + "95 8 [[266, 266, 636, 636]] emotion->[0] sentiment->[0]\n", + "95 9 [[32, 97, 5, 33, 54, 26, 45, 637]] emotion->[4] sentiment->[1]\n", + "95 10 [[15, 48, 25, 637]] emotion->[4] sentiment->[1]\n", + "96 0 [[18, 1, 17, 78, 5, 3, 23, 25, 1323, 1324, 47, 187]] emotion->[4] sentiment->[1]\n", + "96 1 [[12, 1, 42, 40, 5]] emotion->[4] sentiment->[1]\n", + "96 2 [[168, 1, 1325, 40, 4, 13, 8, 189, 8, 89, 191, 167, 1, 134, 84, 1326, 28]] emotion->[6] sentiment->[0]\n", + "96 3 [[253, 5, 3, 7, 47, 16, 11, 1327]] emotion->[3] sentiment->[2]\n", + "97 0 [[66, 95, 5, 1328, 1329, 30, 8, 89, 1330, 10, 3, 19, 1331, 30, 8, 89, 1332, 1333, 1334]] emotion->[3] sentiment->[2]\n", + "97 1 [[38]] emotion->[3] sentiment->[2]\n", + "97 2 [[190]] emotion->[4] sentiment->[1]\n", + "97 3 [[12, 157, 12, 93, 5, 3, 24, 508]] emotion->[3] sentiment->[2]\n", + "97 4 [[1, 13]] emotion->[3] sentiment->[2]\n", + "97 5 [[24, 1, 17, 50, 174, 4, 208]] emotion->[3] sentiment->[2]\n", + "97 6 [[19]] emotion->[4] sentiment->[1]\n", + "97 7 [[1, 1335, 8, 372, 26, 186, 43, 6, 180, 24, 390, 5, 49, 638, 638]] emotion->[3] sentiment->[2]\n", + "97 8 [[15, 3, 20]] emotion->[6] sentiment->[2]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "97 9 [[10, 3, 8, 639, 363, 180, 107, 22, 8, 639]] emotion->[3] sentiment->[2]\n", + "97 10 [[7, 60, 10, 36, 631, 29, 6, 519]] emotion->[6] sentiment->[0]\n", + "97 11 [[32, 97, 5, 3, 24, 173, 76, 6, 180, 33, 640, 29, 641, 642]] emotion->[3] sentiment->[2]\n", + "97 12 [[9, 3, 20, 21, 1336, 6, 180, 1337]] emotion->[6] sentiment->[0]\n", + "97 13 [[18, 18, 10, 3, 6, 424, 43, 6, 1338]] emotion->[4] sentiment->[1]\n", + "97 14 [[1, 14, 7, 69, 8, 424]] emotion->[2] sentiment->[0]\n", + "97 15 [[32, 1339, 207, 8, 424, 37, 2, 22, 55, 60, 76, 6, 180, 3, 599, 29, 105, 643, 644, 645, 646]] emotion->[4] sentiment->[1]\n", + "97 16 [[75, 8, 306, 6, 180, 33, 640, 29, 641, 642, 9, 105, 643, 644, 645, 646, 10, 41, 115, 217]] emotion->[6] sentiment->[2]\n", + "97 17 [[19, 627, 2, 14, 7, 13, 159, 48, 6, 2, 30, 1340]] emotion->[4] sentiment->[1]\n", + "97 18 [[38]] emotion->[6] sentiment->[2]\n", + "97 19 [[190]] emotion->[4] sentiment->[1]\n", + "97 20 [[1, 103, 4, 146, 4, 2]] emotion->[3] sentiment->[2]\n", + "97 21 [[121, 15, 3, 73]] emotion->[4] sentiment->[1]\n", + "98 0 [[54, 53, 1, 23, 55, 598, 21, 1341, 256, 24, 2, 36, 52, 470, 44, 39, 2, 41, 191, 51, 43, 5]] emotion->[0] sentiment->[0]\n", + "98 1 [[195, 1, 17, 7, 31, 43, 175]] emotion->[1] sentiment->[0]\n", + "98 2 [[32, 59, 2, 14, 7, 1, 42]] emotion->[0] sentiment->[0]\n", + "98 3 [[41, 2, 195, 51]] emotion->[3] sentiment->[2]\n", + "98 4 [[1, 41]] emotion->[0] sentiment->[0]\n", + "99 0 [[38, 99, 99, 34, 2, 82, 25, 150, 1342, 1343]] emotion->[3] sentiment->[2]\n", + "99 1 [[58, 200]] emotion->[4] sentiment->[1]\n", + "99 2 [[393, 393]] emotion->[3] sentiment->[2]\n", + "99 3 [[1344]] emotion->[6] sentiment->[2]\n", + "99 4 [[9, 9]] emotion->[3] sentiment->[2]\n", + "99 5 [[1345]] emotion->[6] sentiment->[2]\n", + "99 6 [[38, 25, 246, 30, 180, 106, 10]] emotion->[6] sentiment->[2]\n", + "99 7 [[257, 257, 257, 19, 61, 34, 5, 51, 80, 28, 239]] emotion->[4] sentiment->[1]\n", + "99 8 [[32, 6, 205, 33, 102, 587, 33, 102, 9, 46, 3, 139, 47, 8, 374, 1346, 150, 498, 1347]] emotion->[4] sentiment->[1]\n", + "100 0 [[19, 5, 3, 214]] emotion->[4] sentiment->[1]\n", + "101 0 [[214, 82, 1, 14, 7, 69, 5]] emotion->[5] sentiment->[0]\n", + "102 0 [[149, 5]] emotion->[4] sentiment->[1]\n", + "102 1 [[15]] emotion->[4] sentiment->[1]\n", + "103 0 [[5, 3, 1348, 105, 214]] emotion->[4] sentiment->[1]\n", + "103 1 [[12, 213, 37, 2, 123, 10, 183]] emotion->[5] sentiment->[0]\n", + "103 2 [[27, 37, 1, 123, 2, 118]] emotion->[3] sentiment->[2]\n", + "103 3 [[620, 2, 13, 139, 530, 44, 1349]] emotion->[4] sentiment->[1]\n", + "103 4 [[24, 1, 17, 1350]] emotion->[3] sentiment->[2]\n", + "104 0 [[12, 12, 1, 17, 8, 1351, 1, 51, 647, 647, 1, 17, 328, 54, 6, 111]] emotion->[3] sentiment->[2]\n", + "104 1 [[170, 163]] emotion->[5] sentiment->[0]\n", + "104 2 [[75, 75, 75]] emotion->[3] sentiment->[2]\n", + "104 3 [[66, 93]] emotion->[4] sentiment->[1]\n", + "104 4 [[66]] emotion->[6] sentiment->[0]\n", + "104 5 [[20, 3, 7, 31, 4, 156]] emotion->[0] sentiment->[0]\n", + "104 6 [[1, 648, 20, 42, 156]] emotion->[3] sentiment->[2]\n", + "104 7 [[2, 11, 24, 102, 1, 123, 2]] emotion->[3] sentiment->[2]\n", + "104 8 [[15]] emotion->[6] sentiment->[2]\n", + "104 9 [[139, 1, 110, 1, 110, 2, 11, 24, 102, 9, 114, 1, 23, 1, 23, 404, 215]] emotion->[2] sentiment->[0]\n", + "104 10 [[2, 110, 2, 511, 28, 1, 36, 7, 145, 20]] emotion->[6] sentiment->[2]\n", + "104 11 [[18, 1, 34, 7]] emotion->[2] sentiment->[0]\n", + "104 12 [[112, 2, 34]] emotion->[6] sentiment->[2]\n", + "104 13 [[18, 1, 34, 7]] emotion->[2] sentiment->[0]\n", + "104 14 [[2, 123, 28]] emotion->[3] sentiment->[2]\n", + "104 15 [[18, 1, 14, 7, 122, 5, 122, 5, 122, 5, 122, 5]] emotion->[0] sentiment->[0]\n", + "105 0 [[190, 423]] emotion->[4] sentiment->[1]\n", + "105 1 [[88, 20, 3, 93, 98, 6, 1352]] emotion->[4] sentiment->[1]\n", + "105 2 [[138, 6, 304, 10, 2, 373, 28, 1353, 1354, 10, 3, 223, 268, 304]] emotion->[0] sentiment->[0]\n", + "105 3 [[315, 30, 91, 1355, 5, 49, 258, 72, 544]] emotion->[0] sentiment->[0]\n", + "105 4 [[315, 10, 3, 24, 315]] emotion->[3] sentiment->[2]\n", + "105 5 [[38, 138, 147, 61, 41, 2, 47, 4, 40, 127]] emotion->[4] sentiment->[1]\n", + "105 6 [[100, 269, 586]] emotion->[4] sentiment->[1]\n", + "105 7 [[19, 61, 48, 1356]] emotion->[4] sentiment->[1]\n", + "105 8 [[19, 147, 6, 649, 281, 10]] emotion->[3] sentiment->[2]\n", + "105 9 [[6, 649, 281, 10]] emotion->[3] sentiment->[2]\n", + "105 10 [[2, 13, 15, 423]] emotion->[0] sentiment->[0]\n", + "105 11 [[16, 11, 64, 453, 293, 141, 44]] emotion->[0] sentiment->[0]\n", + "106 0 [[38, 83, 2, 13, 10, 189, 2, 287, 4, 1357, 44, 65, 65, 1358, 8, 205, 1359]] emotion->[4] sentiment->[1]\n", + "106 1 [[12, 27, 1360, 1361, 56, 33, 21, 25, 650, 388]] emotion->[4] sentiment->[1]\n", + "106 2 [[15, 3, 8, 650, 388]] emotion->[4] sentiment->[1]\n", + "106 3 [[5, 3, 83, 30, 125, 26, 1362, 35, 34, 7, 149, 1363]] emotion->[4] sentiment->[1]\n", + "106 4 [[12, 32, 138, 260, 56, 3, 1364, 6, 150, 1365, 1366, 205, 2, 55, 4, 40, 28, 105, 623]] emotion->[3] sentiment->[2]\n", + "106 5 [[12, 1, 14, 7, 13, 162, 1, 22, 7, 288, 4, 84, 21, 47, 382, 252]] emotion->[4] sentiment->[1]\n", + "107 0 [[1, 17]] emotion->[4] sentiment->[1]\n", + "107 1 [[79, 15, 11, 2, 215, 48, 2, 11, 8, 1367, 624]] emotion->[4] sentiment->[1]\n", + "107 2 [[2, 57, 63, 24]] emotion->[6] sentiment->[2]\n", + "107 3 [[483, 61, 36, 2, 135, 242, 10, 630]] emotion->[6] sentiment->[2]\n", + "108 0 [[74, 40, 8, 1368, 26, 20, 35, 3, 1369, 105, 1370, 26, 6]] emotion->[6] sentiment->[2]\n", + "108 1 [[12, 19, 1, 17, 203, 235, 60]] emotion->[2] sentiment->[0]\n", + "108 2 [[20, 60, 106, 7, 1371, 410, 157, 112, 5, 106]] emotion->[6] sentiment->[0]\n", + "108 3 [[259]] emotion->[0] sentiment->[0]\n", + "108 4 [[259]] emotion->[0] sentiment->[0]\n", + "108 5 [[259]] emotion->[0] sentiment->[0]\n", + "108 6 [[259]] emotion->[0] sentiment->[0]\n", + "108 7 [[157]] emotion->[6] sentiment->[0]\n", + "108 8 [[12, 1, 33, 143, 1372, 10, 33, 5]] emotion->[5] sentiment->[0]\n", + "108 9 [[38, 85, 11, 93, 9, 104, 260]] emotion->[4] sentiment->[1]\n", + "108 10 [[27, 1, 123, 2, 19, 179, 88]] emotion->[3] sentiment->[2]\n", + "108 11 [[88]] emotion->[3] sentiment->[2]\n", + "108 12 [[10, 33, 1373, 30, 169, 56, 110, 56, 152, 413, 1374, 1375, 56, 107, 52, 50, 313, 68]] emotion->[2] sentiment->[0]\n", + "108 13 [[12, 213, 14, 7, 299, 56, 3, 31, 4, 119, 5, 29, 111]] emotion->[4] sentiment->[1]\n", + "108 14 [[27]] emotion->[4] sentiment->[1]\n", + "109 0 [[1, 232, 1, 543, 73, 6, 1376, 1377, 4, 163, 9, 1378, 79]] emotion->[4] sentiment->[1]\n", + "109 1 [[37, 1379, 1, 90, 7, 52, 1380]] emotion->[3] sentiment->[2]\n", + "109 2 [[1381, 1, 67, 2, 57, 607, 79, 30, 1382, 70, 70, 41, 2, 14, 10]] emotion->[1] sentiment->[0]\n", + "109 3 [[1, 17, 93, 1, 17, 369, 1, 1383, 99, 9, 237, 223, 1384]] emotion->[5] sentiment->[0]\n", + "109 4 [[32, 1, 63, 16, 22, 54, 1385, 132, 48, 65, 3, 369, 9, 65, 3, 7]] emotion->[0] sentiment->[0]\n", + "109 5 [[528]] emotion->[4] sentiment->[1]\n", + "109 6 [[54, 53, 68, 1, 17, 31, 4, 40, 151, 4, 25, 1386]] emotion->[4] sentiment->[1]\n", + "109 7 [[1, 17, 142, 1387, 6, 1388, 24, 6, 1389, 30, 73, 43, 1390]] emotion->[4] sentiment->[1]\n", + "110 0 [[182, 19, 72, 373, 2, 6, 268, 111, 1391]] emotion->[4] sentiment->[1]\n", + "110 1 [[27]] emotion->[4] sentiment->[1]\n", + "110 2 [[32, 15, 1392, 3, 5, 98]] emotion->[4] sentiment->[1]\n", + "110 3 [[58, 5, 3, 98, 651, 47, 6, 391, 26, 651, 2, 13]] emotion->[4] sentiment->[1]\n", + "110 4 [[112, 112, 1, 14]] emotion->[4] sentiment->[1]\n", + "110 5 [[62, 12, 5, 3, 23, 1393]] emotion->[3] sentiment->[2]\n", + "110 6 [[1, 648, 5, 116, 8, 102, 188, 1394, 5, 101]] emotion->[3] sentiment->[2]\n", + "110 7 [[34, 72, 80, 2, 175]] emotion->[4] sentiment->[1]\n", + "110 8 [[112, 10, 1, 13, 20, 3, 98, 652, 653]] emotion->[3] sentiment->[2]\n", + "110 9 [[652, 653, 12, 5, 226, 47, 285, 8, 1395, 262]] emotion->[3] sentiment->[2]\n", + "111 0 [[24, 2, 136, 14, 7, 63, 1, 17, 1396, 1397]] emotion->[0] sentiment->[0]\n", + "111 1 [[200]] emotion->[4] sentiment->[1]\n", + "111 2 [[1, 305, 2, 588, 28, 49, 1398, 6, 585, 158, 176]] emotion->[4] sentiment->[1]\n", + "112 0 [[1, 147, 1399, 73]] emotion->[0] sentiment->[0]\n", + "112 1 [[1400, 179, 128, 9, 1401, 1, 42, 243, 2, 1402, 30, 45, 169, 1403, 21, 1404, 1405, 2, 23, 574, 20]] emotion->[5] sentiment->[0]\n", + "112 2 [[32, 5, 3, 387, 159, 6, 1406, 32, 308, 43, 6, 654, 2, 472, 6, 654, 53]] emotion->[4] sentiment->[1]\n", + "112 3 [[1407]] emotion->[5] sentiment->[0]\n", + "112 4 [[54, 53, 1408, 29]] emotion->[4] sentiment->[1]\n", + "113 0 [[104, 5, 3, 31, 4, 217, 83, 3, 31, 4, 492, 21, 50]] emotion->[4] sentiment->[1]\n", + "113 1 [[37, 1]] emotion->[5] sentiment->[0]\n", + "113 2 [[18, 18, 75]] emotion->[4] sentiment->[1]\n", + "113 3 [[23, 134, 28, 1409, 19]] emotion->[5] sentiment->[0]\n", + "113 4 [[20, 3, 7, 132, 10, 16, 23, 16, 23, 1410, 1411, 21, 21, 1412, 20, 3, 132, 16, 463, 57, 69]] emotion->[4] sentiment->[1]\n", + "113 5 [[9, 5]] emotion->[4] sentiment->[1]\n", + "113 6 [[5, 3, 57]] emotion->[6] sentiment->[0]\n", + "113 7 [[27, 516]] emotion->[4] sentiment->[1]\n", + "113 8 [[1, 67, 16, 11, 7, 16, 11, 7, 31, 4, 334, 127, 1413]] emotion->[5] sentiment->[0]\n", + "113 9 [[18]] emotion->[5] sentiment->[0]\n", + "113 10 [[15, 12, 25, 62, 1, 17, 31, 4, 243, 2, 24, 159]] emotion->[5] sentiment->[0]\n", + "113 11 [[1, 17, 31, 4, 243, 2]] emotion->[5] sentiment->[0]\n", + "113 12 [[1, 67, 5, 3, 6, 573, 26, 105, 1414]] emotion->[5] sentiment->[0]\n", + "113 13 [[1, 13]] emotion->[5] sentiment->[0]\n" + ] + } + ], + "source": [ + "# making utterances group of 33 => X_dev_data_groups is of shape (114, 33, 50)\n", + "X_dev_data_groups = np.zeros((114, 33, 50))\n", + "Y_dev_data_groups_emotions = np.zeros((114, 33, 7))\n", + "Y_dev_data_groups_sentiments = np.zeros((114, 33, 3))\n", + "for did, uttid in zip(df.Dialogue_ID.values, df.Utterance_ID.values):\n", + " X_dev_text_sequences = tokenizer.texts_to_sequences(df.Utterance[(df.Dialogue_ID == did) & (df.Utterance_ID == uttid)].values)\n", + " print(did, \" \" + str(uttid), \" \" + str(X_dev_text_sequences), \" emotion->\" + str(df.Emotion[(df.Dialogue_ID == did) & (df.Utterance_ID == uttid)].values) + \" sentiment->\" + str(df.Sentiment[(df.Dialogue_ID == did) & (df.Utterance_ID == uttid)].values))\n", + " X_dev_data_groups[did][uttid] = pad_sequences(X_dev_text_sequences, maxlen=MAX_UTTERANCE_LENGTH)\n", + " #^ <------- This is the data to feed as input to the NN\n", + " Y_dev_data_groups_emotions[did][uttid] = pad_sequences(to_categorical(df.Emotion[(df.Dialogue_ID == did) & (df.Utterance_ID == uttid)].values), 7, padding = 'post')\n", + " Y_dev_data_groups_sentiments[did][uttid] = pad_sequences(to_categorical(df.Sentiment[(df.Dialogue_ID == did) & (df.Utterance_ID == uttid)].values), 3, padding = 'post')\n", + " \n", + "# print(Y_dev_data_groups_emotions[did][uttid])\n", + "# print(Y_dev_data_groups_sentiments[did][uttid])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# print(X_dev_data.shape)\n", + "# print(X_dev_data[986])\n", + "# print(df.Utterance.values[986])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 1414 unique tokens.\n" + ] + } + ], + "source": [ + "dev_word_index = tokenizer.word_index\n", + "print('Found %s unique tokens.' % len(dev_word_index))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# # Load pickle\n", + "import pickle\n", + "\n", + "embedding_index_glove_300d = open(\"dev_text_embedding_index_glove_300d.pickle\",\"rb\")\n", + "X_dev_text_embedding_index_glove_300d = pickle.load(embedding_index_glove_300d)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "400000" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + " len(X_dev_text_embedding_index_glove_300d)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "damnit 291\n", + "pheebs 352\n", + "progressionist 435\n", + "smiledon 679\n", + "whoah 822\n", + "  855\n", + "oww 920\n", + "tuschy 955\n", + "blargon 1016\n", + "yesss 1139\n", + "hmph 1187\n", + "muhawa 1197\n", + "porsching 1210\n", + "noooooo 1298\n", + "philange 1321\n", + "ooohhhh 1344\n", + "“good 1400\n", + "” 1405\n" + ] + } + ], + "source": [ + "#Create embedding_matrix\n", + "num_words = min(MAX_NUM_WORDS, len(dev_word_index) + 1)\n", + "X_dev_embedding_matrix = np.random.rand(num_words, EMBEDDING_DIM)\n", + "for word, i in dev_word_index.items():\n", + " if i >= MAX_NUM_WORDS:\n", + " continue\n", + " embedding_vector = X_dev_text_embedding_index_glove_300d.get(word)\n", + " if embedding_vector is not None:\n", + " # words not found in embedding index will be all-random uniformly initialized.\n", + " X_dev_embedding_matrix[i] = embedding_vector\n", + " else:\n", + " print(word, i)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1415" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num_words" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Defining Model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import keras.backend as K\n", + "filter_sizes = [3,4,5]\n", + "num_filters = 512" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "embedding_layer = Embedding(num_words, EMBEDDING_DIM, embeddings_initializer=Constant(X_dev_embedding_matrix), input_length=MAX_UTTERANCE_LENGTH, trainable=True)\n", + "conv_0 = Conv2D(num_filters, kernel_size=(filter_sizes[0], EMBEDDING_DIM), padding='valid', kernel_initializer='normal', activation='relu')\n", + "conv_1 = Conv2D(num_filters, kernel_size=(filter_sizes[1], EMBEDDING_DIM), padding='valid', kernel_initializer='normal', activation='relu')\n", + "conv_2 = Conv2D(num_filters, kernel_size=(filter_sizes[2], EMBEDDING_DIM), padding='valid', kernel_initializer='normal', activation='relu')\n", + "maxpool_0 = MaxPool2D(pool_size=(MAX_UTTERANCE_LENGTH - filter_sizes[0] + 1, 1), strides=(1,1), padding='valid')\n", + "maxpool_1 = MaxPool2D(pool_size=(MAX_UTTERANCE_LENGTH - filter_sizes[1] + 1, 1), strides=(1,1), padding='valid')\n", + "maxpool_2 = MaxPool2D(pool_size=(MAX_UTTERANCE_LENGTH - filter_sizes[2] + 1, 1), strides=(1,1), padding='valid')\n", + "dense_func = Dense(100, activation='tanh', name=\"dense\")\n", + "dense_final = Dense(units=7, activation='softmax')\n", + "reshape_func = Reshape((MAX_UTTERANCE_LENGTH, EMBEDDING_DIM, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "#sequence length = 33" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Helper Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "def slicer(x, index):\n", + " return x[:,K.constant(index, dtype='int32'),:]\n", + "\n", + "def slicer_output_shape(input_shape):\n", + " shape = list(input_shape)\n", + " assert len(shape) == 3 # batch, seq_len, sent_len\n", + " new_shape = (shape[0], shape[2])\n", + " return new_shape\n", + "\n", + "def reshaper(x):\n", + " return K.expand_dims(x, axis=3)\n", + "\n", + "def flattener(x):\n", + " x = K.reshape(x, [-1, x.shape[1]*x.shape[3]])\n", + " return x\n", + "\n", + "def flattener_output_shape(input_shape):\n", + " shape = list(input_shape)\n", + " new_shape = (shape[0], 3*shape[3])\n", + " return new_shape" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ed/+pr01VX3fODhlLnTqOu87XjlgLAOBwscM57dvm2CzLKIqifN9msym1FyZJQmmaUhAEFIYhpWlaaNvMsow2m02eT5Zlhf1RFJXaF1kMFMcxxXFc+ToukWEYhbYr0zRLbVmWZeV1RoZhFOp+TNMk13ULx1iWlT+3LIs8zyscYxhG3p7pOA45jlOqx3FdN/9hz/l6K9u2qdPp5G1zpmmW2umGw2Eh1mDXQnTeMZaqjg4A4NKcU9zR9L5zuQ7VvktpY6sqI3ctd7fdF0URZVlGvu+T7/sURVEhTkySpBBPpGlaiBsdxynVna3XayJ6Hru4rktBEBQ+izAMKcuyPDaK4zjvU8disOVyWchzuVySYRh5vLBerwsxahiGheuKoii/DqLnsa2qD2ETxD5sYrub2O4o69Mm9rM6RZ6yvlziMTptlwAAAHAZZGM2xuNx4bnYZiqOrRDj7/l8XojXFotFoY5THO8gjrMQY/3NZlOI74IgoNVqlT8Pw7AQQ4pjLnTGeuxL7Psl9uMS+9yLMZgYr4tjKGQxmhjniefY5RhZPzex7k6nfxkAAAAchhhX8XGaGPOIMVTdseIYXDHeEuM3Ph4UxwiLsVndsTrjh/ch9p1XPRfr1sTnYp2Y6rkYW6mei/Gb+FysC9QZ5wAAAADPifVN/PNd9zWVzzb7DtEOLtZL8c/r9m2T9hj7VPONAAAA7KKqXN71cdN5NDXHWFUZe26Pdea4guuF1XmyOseq36w+c9vf/P8U/1sXa9Pd9jf7u971NwAAABzHYrGgzWZDs9mMlsslbTYbmk6nedwwHo/z+GEymdBms6HVakWz2SwfAzyfz2mz2dB8Pi/kodLr9cj3fer1etTtdsn3fer3+3kswcaQssee51Gn06Fut0ue59FgMMhjh8FgQK7rUq/XU85NBgAAIFqv1zQej6U/rBys2v/06VPpnF2+79NoNNr6586dO7XzdALA9TAej+nhw4fSn+9+97t5e7nv+3T//n26uroq/bz22mvK9SwALt23vvUt+s3f/E3653/+Z/qd3/kd+oM/+APc78GNEscxff3rX6d/+qd/oq997Wv0ta99jV5//XWyLIs++tGP0qc+9Sn6yZ/8SfqJn/gJeu211679nFZpmtJ3v/tdevLkCT18+JC+8pWv0H/+53/SW2+9RdPpNJ+PLsuyg8+ry8Ytsn7yH/3oR+nzn/88felLX6IvfelL9OjRIwqCoHAdh7wmNs+cZVnUarXo1q1bdHV1Rb/0S79EP/IjP0JXV1d09+7dyuPDMKQ33niDXn/9dfrGN76R//7mN79JSZKQbdv04Q9/mD72sY/Rxz/+8cJvtOvBTfIrv/IrRET0xS9+8cRXAnA8URTRW2+9VSgfXn/9dXr99dfzvif37t0rlQ+f/OQnpWPB0jSl//7v/6aHDx/SN7/5Tfq3f/s3+p//+R96+vQprVYriuM4LzOPMU8+Kz87nQ69+uqr9Gd/9mf0t3/7t/RXf/VX9H//93+02WxKc90e8lrYPK7tdpvu3LlDH/nIR+jnfu7n6Md+7Mfo6uqK7t27d7Dzn5vHjx/TV77ylTwW/vd//3cKw5Du3btHn/rUpwqxMOIRuEniOKY/+qM/ot///d+nT37yk/SFL3yBPvaxj536sgAOisUjVXXq/NxRo9FIWp9+dXVFDx48qF1fGACuh7q2/bqf999/XzpmRdXuz/q2yfbdu3cP3zsAAKCNjQFj48v4vtzT6ZSCIKDFYpGPL2N9unX7d6uwPtmdTqeyfzdbO4jv3z0ajfK+3Hxf736/T77vl+YHBQAAgMORjSOv+73LeHX+97bzP7D4YZfx6vxvNmZM9RvzM91sTc+fcqjH4toHu5LN0bDr46bnT8HcKQAAcEjHnh/1EHO3NjWvmuiUc6c2lQ/iCAAAuAnE9WtUz8W1csTn4jo8qufimj/ic3FdRNVzce0e8XnTtl3fRlwjUYxFxDUZ+bUPxbV2tjlWXNdHvA5xnixx/UQAAAA4HHGNw//P3r08OZLd5cN/Uvf7papUF3X3XGrGY7sbM3aM7c1MYBZesWPx6xXBAuwAR7AyJmCDDewIMMECQ2Ac/gOaYOUFWwJmIML2eMyYbnvsmeoed3fd1FWp+12pdzFvpo+O8pzUXamq5xOhKElHmcpSlZSPvnnyHLf8Is91Lddz5EwEjM+HLdeH5FwGjM/NI48dLmc/YHwebXkeRrf5EuVtWzQ5o8lZSJ4jUZ5TERifg1rOR5lMBsFg0Lk97dzaXnNpyzlSzoLy70RERERXg1uuk/OiWyaTsx4w3ido1nXLGdHuu2eT86vbOuRtkfOsnCGXRc50cmaTM5mduSzLcl6DbDbr5MTBYIBYLDbSRzAajSIWi6Hf76Pf7zvjiNgMw0A0Gh153ROJhJMtu90uDMMYyZahUAjRaBSdTgedTgeBQMB1bAvxNY1EIs463f4/bH5p0y0j/8/5lW5uo01v88t2eLWxzy4RXTVu+U3ktY/U9REXa4O9Xm9sPaZpjmS84XA4ktfseQjlPmftdhuDwcB57HA4HNvHt1qtsewn58t2uz1SP+z3+04e63a7GA6HIzXJ4XCIXq+H4XDo/M7iGHL272yPEWsvs4g+9FdBMpkcG49CHFfWzsjy8eNAIDBSRzUMY+Qxun2zrl+enMtFcp1U3ma5zivSHQOX67si+/wGN3IdV+RVw83n88o2uf5MRETjdLWEdbf7eduW3e617KbUeVS85raep32Z6/Z7+7KfW5f1iIholNwPTObW30w2yf5e7gsnm+TYoXwMU7ZJ2yqfP+HGa1u91jHJ6+F3Xud56mo4gHdm0NWkAH0dCBjvsyjT1bUmafeqNcl9ImVetTNAX68CxvtUyrzOQWHNi4hoNSbJFl41HMB7PKpJ8oV8LoIbrwzqdi6CbJJMJveTc+OV/byO3wKTZUyv13ZRf8NN45VFvPIWMNnYIF6ZxSuXAd7ZE/DOPl75DfDOqIB37WuSHOiVdefNqpNsAxERERERERERERERERERERERERERERERERERERHRuhjDZc6mR0RERERERERERERERERERERERERERERERERERGvlNbGtV3uj0UC325253WvCW692r4lsvdq9Jhn2mhzYq73b7aLRaMzc7jVp8CST/fpdOp1GKBRStsdiMcTjce06vCbL9ZpgFphsUt5FTP47ySTDuVwOhmEo2yeZzDiZTCISiWgf4zVpstfEvsBiJhAmIqLVmzdDsX297eVyGZs8HIhXvmO7v9u98jsREU1PV58aDocol8vKZXW1O6+6k2mayjZdTc6rHlWpVGBZlmub7ne1LAuVSkW53lqthn6/79o2z++qq18OBgNUq1Xlsn6nq2V51Wy86lzRaBSJRELZ7lUD88oUuvpYIBBANptVLutVO9vkbScionG6jKDLNLpcossWunzgld10Oek6/B5+E4lERo4vivW2UCiEYDA4cp9lWRgOhwgEAgiFQs5tkWVZI/lrMBiMvFbD4XDkdr/fV76WixQOh0eO54XDYUQiEWdb7du2SCQylpcikYjzmFAohFgsNnJsNRKJOBkqFoshGo2OtNu3g8Gg87hoNDpSh4pGo8jn807WkutUXrcB7+OsRESbRNdnSFXrUNWKVP2bdPUY3fEqXT1Flwd0OUL1O+myiS7T6F4/XX8vr+N0fqHrK6XaH+rqQbq+Vbp6ha5vke6Yk67+ouuLpPu9dbUwu49Up9MZyda9Xm9kO9rtttMeDAYRCARGHt9qtdDpdBAKhZzl5P+ZeW8va53LMG1ec/ufmHcdq1oncyYREdHVtOjc5ffby7Do7OXHfOh1DgkRERGtjlzTlo+Jy8fWq9UqBoMBgPFas1xDlrPTPMvKdXKx/i33v/Q6v3kecj838VxSuX+gnIHkOq1YH5t2WTlPybU2+bZ8zqvXbSIiIpqdmFPE/gZiRpHzi3hu6yKXkY//i/0S5BzoNQbNLOR+/uIxbflYu5x/xDwjn6sgZiH52LuY1+SMJY4VMs+2ERERrYOdMcT9u1jHETOAuM8X6zH2OsQcINZkVOsQ6zJ2BlGtY1bivlnch4s5QNxfi7USOxuI+3BxHWJ/PHEsNHEd014nmoVd8xR/mqY5dt8sj7F/Xl5eTpXr7ay7qp98HxEREfmDV+aY9fok50KL+SCfz49lBvG+aa5z/DYiIlq0er2Oy8tLmKapvZTL5bHrbucJx+Nx5PN55HI55PP5qa57jctPRFdft9vFkydPcHR0NHb5xS9+4Rw3CIfDuHXrFg4PD8cuBwcHKBaLa/5NiNaj3+/jm9/8Jr7xjW/gk5/8JL773e/iM5/5zLo3i8gXTk5O8MMf/hBvv/023nrrLbz11ltotVrIZDL4/Oc/j9dffx2vvfYaXn/9dWxtba17c2FZFk5PT3F+fo5SqYSzszOcn5/jF7/4BX7yk5/g6dOnME0TrVZrZJy6Vc07YRiGc6z69u3b+PznP49PfepTuHPnDm7cuIG9vT3t/F+z6HQ6uLi4wMnJCR49eoQPPvgADx48wLvvvov3338fzWZzbIy+VTIMA5FIBJlMBoeHh7hz5w4+9alP4fDwEC+++CJeeeUVz3nGiK6qu3fvAgDu3bu35i0hWq1Wq4XHjx/j0aNHePLkCR4/foyTkxO89957+MUvfoFyuYx2u73y/bgoEAggGo2iWCzi9u3beO211/Dxj38cN2/eRLFYxHPPPbeU41KmaeL4+BiPHj3Cj370I/zwhz/Ej3/8Y5ydnaHX6zmvxapek0Ag4Ixzm0wmsb29jY9//ON46aWXcOPGDezv7+P555/HSy+9hK2tLd8cq6vX6/jxj3/sZNz/+I//QKlUQigUwquvvupk3DfeeAOHh4fr3lwiX7h//z5+7/d+D++88w6++tWv4q/+6q885+kluqparRZOTk5c6/E//elPnfF2o9Eobty44VqPf+WVV3h8j4hQq9Vc+xPortu33cZKiUQi2r4FbpetrS3k83nO1UVEREsxb/9zt/suLi6Uc3SI5ulzrurDXigUeM4bERGRT0xyPv0if+rm+5JNc169W+aY9DG6+aOIdMSxX6a9vojxZsR568Tx7NzWMQ/xXFKv8WbEMWtU482I49nZ4/KK882pxqwRx7MT37cc25eIiNZNHtdfHB9XnmdWzMPyvATi2HXyWLji+LfymLdiDpDnIJh12xZFN2eSPG+suH8Xx74Tx7+Vx60VlxFzg24ZMdtMugwRERGNZxc5S8i35fmLvG57zVkpj+Uv1lOA0Swz7XxQy8hBwPh4/HL+EWsdwGhW8lpWzEvAaC6Ss4w8n4CYgeZdloiIiPxh3fOLzzIf+bTLLCuz2ZYxf7jfbgM8rkZERHRdLCJ/LWMdy9quRfSP8jJJ1lpEXltGBrTvazab6Pf7iMViIzW+WCyGfr/v9DeLxWIjtUddFte99uKxaZFcvxXJx8JFunna5BqwSK5Fi9z+n2y6+WXF4/cy3ZwRy/5eswi6Y+ViHz+ZPHetSK5vi+S5ckW6erRcIxfJtXeRbl4NXV9icX5fmep7llznn+S5OHcvEW26ZeRF0zRHjkO3Wq2xvnLiPrvdbju3LctCv99Hu90eObbc6XTQ6XQwGAwwHA7R6XRG2rvdLrrd7sh+275P3I5V7NeDweDIvisQCDjHlO12e59iWRYMwxhpt5cB4PRNtM8FsA2HQ6cN+CgP2O326yOz21UZzI90GUG3D5aPmYt0+3tAnyF0uUSXdXT5SZfJvPpEiv0VZLo5UHWZTZcDddmSiIi8yecayHS1EkBfLwHG++bJvObM9KqBqOpGgL52BHj/7nI/RpmuHgQs93eXz/XYNF51C12GAfT5B9Afy9ZlDq9cocsyurwC6DOS7vXwyl66bKrLdIC+hqXLikREtBpeWWPe9lU8x3Vv1x0H3BReuY3t/m7nOTtERP6zioy2ysfwedxtQr+uSaw7y2x6ux+2wauOSkREREREREREREREREREREREREREREREREREROQXxnDZs4QQEREREREREREREREREREREREREREREREREdHGWPcE5Zxkfv72TZ/cc90TUl6HSTeX3Z7NZhEIBJTtRETkH+12G61WS9lumuZSlvXKM7MuOxwOUS6XV74s4J3Blt3ud/F4HLFYjO1XtJ2IiFZHl5MajQa63a5rW6/XQ71eVy6ryxq6HDQYDFCtVpXrrdVq6Pf7rm2dTgfNZtO1zSub1et19Ho91zav37VcLkM17Faz2USn03Ft8/pdq9UqBoOBst1vwuEwUqmUsj2Xy8EwDNe2RCKBaDTq2hYMBpHJZJTrzWQyCAaDrm26mpNhGMjlcsr1plIphMNh17ZIJIJkMqlcVlfL8nreUCiEdDqtbPd6bq+cpfu9iIhofrqco8oxupyiyyG6Nq+cocuAuhyny2K63KOr+836e3jlu02qfaXTaYRCIdc2XU5SZR3LshAMBp3MYFnWyGsxHA6RSCSc23Lmj0QizvXBYDDyNw+HwyMZtdvtOlk4EomM/P8Ph0PndigUwnA4HPkfGQ6HaLVaMAzDyU7NZnMkW7fb7ZHn6/V6yv+zRXHLa3LmlP8u0Wh05DV1y7D5fH7ktvx3l9cp5z63dcoZW16nnA3lzB4IBJDNZuWXgIho4VQZSZedpl1mnc+x7u3V1bXWTVebUbXNssxVb5t1fclkciTbLYKc3+WarPy9QP7/lGue4ncTy7JQqVQmfi75PeH1XGIdV34u+fayyLU5Oa/JGdAtr8kZcFPWSURERFeX3K9ArM16ZTw508k1aDEv9vt91Go157Zcd5bzoG475Nqz3O5Vf14EOcvLNUY5c8m1Pfm4slw/lDOaW91TrlnKGU4+7i3XSeV6pJwjl/GdhIiIiBZPzkJyRpsnk4k1OTmDyfW+aXLlNMsukpyx5Awn5x8xT8nLynlPPl4sZi85y8nZUK7fzbMsERERLZdY/xJzl1w3EzOYahk5m6mWETPbIpaZl5h7xGwi5xYx04iZRbeMnG3Eepec3cSsJmckse4l1+F4PgYREW0aMT/Men2Z61hE/0fxuNs012ddbtp16M4XIVomuw+laZpOfbbb7aLRaDjvQ/s9WKlUMBgMUC6Xne8Adh3W7hdqf2ewHyOubxJ27rbfH3Y91c7++XzeOe5t10/t95n9PsrlcggGg8hms05WV/0kIiIifxO/K5im6Xrdq93t+iTj9Ih5Pp/Pe16f9LEcM5mIiFat2WzCNE1cXl7CNE3Xi6rNrSaXTqeRz+dHLrlcbqLr7H9ERF5M08TR0ZHr5dGjR06fz3w+j8PDQ9fLc889x3o7keTdd9/F7//+7+P+/fv4xje+ga997WvKcVmJ6KO+cO+99x7eeustvPnmm3j77bfx4MEDAMDh4SFef/11vPbaa3jjjTfwmc98xrPW02q1UC6XcXp6ivPzc1SrVZRKJZycnMA0TTSbTZyfn+PRo0colUrOeQ+DwcA5z0I1lvWy2WMU7u7u4rnnnsPBwQGef/55vPLKK9ja2kKxWMTBwQH29vY24nOl1Wrh5OQEx8fHIz8fPnyIJ0+e4Pj4GGdnZyPnv8jjoaz6b2EYBgzDQDAYRCQSQSqVQj6fRzqdxtbWFnK5HLa2tlAoFHDr1i0899xzuHHjBl5++WXluJREfnL37l0AwL1799a8JURq9jGmX/7yl3j8+DGOj49xcXHh7Nvr9Trq9TouLy9xeXmJZrOJXq83dixqHfsQ+TnD4TB2d3dxcHCA5557Djdv3kSxWMTh4SEODg5QLBZx69atjegH3+128ezZM5im6ezX7Uz185//HE+ePMH5+TlqtRp6vd7a8hTwq/15IBBAOBxGMpl0jh1mMhlks1mkUins7u7ixo0bODg4wP7+Pu7cueO0eTk6OnKy61tvvYV33nkHlmXh4ODAya6vv/46PvvZz7JOS6RhWRa+853v4Ktf/SoODw/x3e9+F5/97GfXvVlEvqOr5T98+NDZ7+pq+c8///xG1BKIaH3a7TZM00S5XHb6MExy3TRN13Odw+HwWF+Hra2tsfvc2sRzjomIiFZl0v7x0/Slv7y8nGger0n7z0/Tl35nZ4djzhIREfmcPUaA6melUnF+2uOg2TnD7u80zbgFk7DH8MpmswgGg8jlcs4YAfY4YfY4ZW7jDOjGLbAfyzEHyA/WOZ7PJNfFMaNntc7xfCa5Ls/DQURE5EfyGF7i2MDyeMBi7pbnfBDnj5Xn3JLnnRBzgLhO3VjEkyyzCOKYfaqxiIHR/fwil5G/S6iWETMHv38QERHNR84q09z267KTjIM2K1UdZNrbflmW85wSERH5l3wMWKw/AeMZSK4TyXUveV4uuf40ybzy4hxbwPhcpXIOE2ttwPhcp/LvtAxe88RPOy+8PC+XnK/kubm85lmdZ75Tzt9FRER0fck5S86GcvZzy3ZydpOzmTxvvXx8FBjv/yRnWDmjus3HKmdMr99tWeR+TnJOlLOYnNXkLAeMZj2322JWlZe3545SPZ+cM+Xtk3OnX+du0/19N6HNL9sxT9sy6+mLIH/nWvT9131d/F5JRNNYRrabJLeuIvvKtVS5Vros0Wh0ZGzbYDA4kvEsyxobJy8ejyMYDDqvSSQSGcl9gUC044pKAAAgAElEQVQAwWBwJKeL6+x2uwiHwyO5NBQKIRwOo9vtotfrIRgMjuwf7Mfar1kwGBzJloZhjPxvhEIhJ+cOh8OR7xUyucYs0p0npcs308zr6ge6cy7k7xAi3bF+XS6Qv1uIAoEAstmscnvkertI953DPkfNjfzdRqTrG+r2HUykm8NOl4F0rzkRES2OW61RJGc8mVy7lHnVFOXj1jKveonuvFC3PCry+t10+Uh37ojX8+p+Z7dsL/J7/ciNLmPpsolcl5XpMk8kEkEymVQuq8tScn1X5JXRdNlGl/0AfWbSZUqvLKbLqjz/h4jIv7xqKl45xqvdK3N4ZUSvmp1XHgLG65cyr/E/dFltknavXCXXQmVe4wp55dxN4DU+iS5TAfp8M0m7V23I67i7Lpt5ZU1dhvLKhLqM65XddFkU0P9NdLU9IiLaHF61NsA7h3idF+I1Jsq8WdQrSy4iK3plvXmz3Lyv4SR/R7/T1aMA7+zhVQvzymNemQvwzqteeXOePAnocx+w/NfQq7Y3yWtIRERERERERERERERERERERERERERERERERES0iYyhblQSIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKBbvI5r8n1dBPbeU3cp5tUz2vSwFarhXa7PXO714R7807I57X9y56gexPMO1meV7tuAmbAe7I9r3aviZa92r0m85t3sr9IJIJkMjlzu9dkgV7tRES02arVKgaDgWubV46ZZ1ndpMzzLOuV3eZZtlwuQ3V6/zzLeuVR3bJ+pctvXhMRz7OsLnd6LbvsTLjp7URE5C+67NHv91Gr1ZTL6jKcLpdYloVKpaJcb71eR6/Xc23zynemaSrbdDVJr99Vl/10NUWv31VX6/TKhX6UzWYRCARc23R1q0AggGw2q1yvLpt51bvy+byyTVcL9Kpj6X5XXR4KBoPIZDLK9c76uxqGgVwup1yvV92TiIjWR5clZmlb9Pqu8nNtQq1Ml6FmbVvWepfd1ul0RrJzq9VCKBRycpd4HHwwGKDf7zs1ul6vN/L9xLKskb99o9Fw1h0KhdBsNp12y7Kc/gvhcBiDwWDkueTvPvL3GfG7hNyPwut7yDzkGqacJeUaZiaTQTAYdG6LOdotr+dyORiG4dyWa7Hy31XO1275Vc7YcoaV1+lVpyWiq2XajLDITLHOda1qe/2ai1Q5Ydr7F7muVTzHqtYl7/+vK7m/qlyDlvNeo9FAt9t1bss1Xl3+k59L7s8pP5dc09ZlTWC0Pu7VD3de8v+PmA/l/CjnNrkPolxPlXOgXDOVs6hXNpXXLz//JHmXiIiIrh+5dudVBxS/V3llTDnniX0v5AwpZ0b5u90027HMPgi6eqNcC5RrhXJek/OcV/6T64pyVpXzpLx+OX/Kvwv7QxIREV0tYp6Ss5Xu9qrbvB67rLq+XE8Wb+va/LossxwREZG/qPLNLPlpVcvozm+ahSrnTJqH1rGM1/nSREREm8Ztvz9tfljFOuZh78unzQde1xexDtZraFPJ71O3n6Zpej7G67G68Qxk4nszn8+PvE91Pyd5rP0Yfh8gIiLaTOVyGa1Wayx3lMtltNttNJtNVKtVtNtt1Ot11Go1tNtt1Go1NBoNJ5c0m020221nfV7fV+y+galUCrFYDJlMBslkErFYDNlsdiRr2Nkjl8shGo0imUwik8kgFoshlUohnU4jGo066+B4OURE5EetVgsnJyc4Pj6GaZoTX9z2qfY+ctrLzs4O95NENJd2u43j42McHR2NXX72s58550NFIhHcvHkTh4eHY5ePfexj2rE1iehXer0e/u7v/g5f//rX8bnPfQ7f+c538IlPfGLdm0XkS5Zl4fLyEufn5zBNE6VSCRcXF6hWq7i8vMTTp0/xy1/+EsfHxzg7O0O5XIZlWQgEAs5YgfZ6xHMv1jm+kmEYrs+fSqWwu7uLYrGIW7duoVAooFgs4uDgAPl83rm+t7d3LccJqlarePvtt/HOO+/gnXfewXvvvYcPP/wQpVIJw+EQhmEgFAphMBiMHGuNRCKIx+MwDAOWZWEwGKDX6zmP88NYW4ZhIBAIOONpRiIRp3aaSCSQyWSQTqeRz+extbWFQqGA3d1dHBwc4ObNmygWi9ja2tLOw0g0rbt37wIA7t27t+Ytoaug1WqhUqng9PQUR0dHODs7w+XlJY6Pj1GpVFCpVGCaJqrVqnMsqt1uo9vtotvtotfrOZ/Xw+HQN5/doVAI4XAYwWAQhmGg3++j3W6P7Ifsz3PLskbGO87n83jppZfwa7/2a/jc5z6HV155Ba+++ioKhcK6fqW16HQ6uLi4gGmaIzXW4+NjPHz4EE+ePMHJyQnK5TIqlcrI314eF27d/xeGYYxcgI8yqGVZMAwD8Xgc2WwWOzs7ODw8RLFYxPb2Nm7evImdnR0cHBzghRdewNbWFvtWEmkcHR3hy1/+Mv7zP/8Tf/zHf4y/+Iu/4HuGaEKdTgdPnz51PQ7w3nvvOWOb6Y4DvPzyy9r5xIiIJmH3Z5z2cnp66pr7J+1nIdZambuJiMiP7PGKxf799Xod7XYb1Wp1pH+/XUeVzxHodDpj69DNj2wT+/THYjEkEglks1nEYjEkk0mk02nEYjGk0+mxcwSi0ShyudzY+Yj2+oiIiGgzTTpmwjzjKkySU2yzjpUwzWNZL6BN5sfxksTr8hx/s/DLeEmqdnnOEyIiok23KWNF65aZ16aMFS0vw3l3iYiIFks3N+wi57eV55WV6yni+LSWZaFSqSxk2UWKRqNIJBLObbFeEggERvqfyuPb5vN557ou30QiESSTSadNnKc2FAohnU67Pn8wGBwZB0N8fnluXfn5iYiIaLPINSI5K9n99Gy9Xs85nwYYz2lyfhoOhyiXyyPPKc8jK88tUK1WnXFPAIwdK5fzW7PZRKfTUd6W17dIYvaSM5Sc9+RMJ2YzOWPJWU3OXPKxNnE75CwpZ0LddgCjWZOIiIgIGM+EbjUzOdPJmU3OmXKOBMZzolwvlOuJcjZ1y56maSq3W65Xyr/nomWzWQQCAee2mOHkPChnS3sOC5ucNeU57eS5KdLpNEKhkHJbxAwo50k5m8r5Ut4Wmo78fyiS/8dF8nvK5vY+sKn6IavWpauPq9Ylv08nWZfqO5tqXW6fH17rWnT/iEWR39siVV8G1dwzunWpvuep1iW/zydZl6pPqGpd8ufeJOtSfd7o1iV//hHRZtL1jZvk9iatQ87Ai6Trazft7XmW7fV6CAQCI+3RaBTxeBydTgfdbhfRaNTJt/b1druNTqeDSCQyUt9MJBLo9Xrafb0uC/ipbR3PKdfT/UzXN0HVNssyy2jb9O1gpiIi8je/ZY9NXHaZ2yTXvf3Oqz/orHlinmW5Tb/C87KJiDaPV+3FK0uojpdN2q46DmjzOkauO14J6I91AvrjeoD3+Tq6Y5+TtHu9Prqs5vXa+ZXcF0CkOwYIjPclFemORQL6+pHc50CmOmYJjPdfkMn9YUW6Y4jAeD8Lma4vrVem05237vV3ICKiq8MrS82blYDR/pFu5H6dMq9zbbyOX8+bd70y17x5dBGv4abV99x4nSOky5CAPicC3jUrXWYDvHOZVx9Vr6zqlUe9Mifg/Rrq8p/X8+uytNfvRkRERERERERERERERERERERERERERERERER0lRnDTT/Dj4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiDaObvIur4m1dBOH6SZZ9ZqgtdFooNvturZ5TeZVq9XQ7/dd27wmttVN4qWbpMxrArFlvcZ+5DW5qtckV8FgEJlMZuZ2r0m6vNq9th/wnuRrnknAJmn3moht3onadBONERHR9eI1Sauu/aot68dtAvTZ169isRji8fhM7Vx2Nct6TdxLRESbbRl5iG3Tt+nqkH60jszC9U7WzloeEZH/6Y6L6o5dNptNdDod17ZqtYrBYDDVc+mOSV7V5/KqrfmBbl+uOuYYDoeRSqVc2+LxOGKx2EY+l+448qKfy6ttHuL/nfw/uMjbq1zXMuvQctbV3Z7msetcdyKRQDQaneZlIKIpqPbvs9Ro1rkuv26vrs/eOs1SV1nU/ddhXbqsRf6wKbly2tu674eLsK5suezn8uofSkRERNfPovKdX3LmMnPiunLdMpdlnwEiIqKrSc5Epmk61+Vz98X+qHI/FLEfhty/QjzvfTAYoFqtOm3i8QK5z4ac5cRt63Q6aDabzu1lnB8fjUaRSCSc22K9LBKJIJlMOm1iVpL7JIjnzcjnnYvHfOVzzuU8Jp4PLm+beC63vB5dfwwiIiLyJ1X9a9I62TqWWXStTVW3mrS+Ne8ys657Wf1FiYiI/GTaPGFfn3W5adehOl9oGtPkgGkzwyLW4TWuH9FVJH8OtFotmKY5dp/q5ySPtR8zqVgshnw+P/I+dvs5yWNUj+VxeiIioqtDlU0mve7WNsn3HzljuGUTVbvq+tbWFs8PIyKijSTuV6e5nJycjK3L3j9Oe9ne3uYYIUS0VKZp4ujoyPXy8OFDpx9wPp/H4eGh6+WFF17g+eVEc/qf//kffOlLX8KjR4/w9a9/HX/yJ3/C9xVtNPv8jUqlAtM0cXZ2hmazibOzM9TrdVSrVZimiWaziWq1ilqthmaziUaj4dTF2u02ut0uer0eer0eBoMBBoOBb+dJNAwDgUAAgUDAuT4cDtHr9Ua2ORwOY3t7GwcHBygWiygUCjg4OMDe3h4KhQKKxSJ2d3exu7uLnZ2dNf5G/lKpVPD+++/j/v37ePDggfPz0aNHsCwLkUgEL7/8Mu7cuYPbt287Pz/xiU84/SXOzs5wenqKJ0+e4PT0FE+fPsXJyQmePn2Ks7MzPH36FOfn5yPzeEajUWxtbSGXyyEejyMcDjv/3/V63TnHyf4f9fuY/uL/aTAYRCgUQjgcRiQSQTQaRTweRyKRQCqVQiqVwtbWFtLpNAqFAvb395HJZPDyyy9jd3cX+Xzec9x6unru3r0LALh3796at4RWoVwuo9/v4+TkBM1mE48fP8bp6amzb7f38/V6HfV6Hc1mc2Qf3u120e/3nX34cDh0Ln5mGAaCwSDC4TBisRiSySTi8TgikQgMw0C/33f2A5eXlyPLZrNZFItF7O3t4caNG9jb28PNmzexv7/v/Lxx48bIeZ4AcHx8PLJ/u3//Pv73f//XOec2n8+P7N/u3LmDX//1X8fu7u7KXhe/arfbKJVKOD4+xvn5Oc7Pz3F8fIxSqYTT09ORizy/eCgUcvpZ2TnTzm1+/j81DMPZpweDwbF9eiwWQywWQyqVQjKZdPbpyWQSe3t7yOfz2N3dxc2bN5FOp7G/v49IJOI5PzWR3w2HQ/zLv/wLvva1r2Fvbw/f+c538IUvfGHdm0W08XTHED788EOnH5LuGMJzzz3Hvs1EtFTs20FERDS7ec5Z0LVPMr6f2/kH056nIF4vFArOuH1ERES0+VYxRsQ0Y+DNMu7DLI/lnF90XflxPCrx+iLGMPfjeFTidfYZICKi68JP43JPusyi53Ff9/jdsyzDOc2JiIhWS55fTq6liuPYyfPGyfPPyZlHN1ddrVZDv98HsLy56hZl0vng5PnfxPnogsEgMpmM05ZMJhGJRACMzyMn5yHd84t1Zvn5xfGK5ecnIiKiq0dXf/K6Pc+yy1zXoue6E+nqVvLtaR67znWJ+ZOIiIhIx6/5b9Hbsmh+yYGL3pZEIsHzZa8o3XtC1Tbt/dd9XfV6fWQcS7/QjRepapv2/uuwLt1zcI5Yotn5JWsuet3lcnlpYxn6JXcuet2rOqdBt4+X+0uI5H4MMrGvgsiyLFQqlamfT7edYv8Kmep/T7f9uu3Q1eV126F6PbxeRz/Q9aeIRCJIJpOubbrvUrr5pfP5/NTbIfcVmXQ7dJlFtR2hUAjpdNq1TZePxH4wMtU5lHJ/GSIi2jxe+3pdftBlEkCfsXXZSZfHAH09R+7nKtOde2yfy+xG7gcr051H1O/3x8ZYF+nmql5Wn9pl0mUKXU4JBALIZrOubbqcNWubbltmbZP7AC+7TZd1dW1ERHQ9eB17n+W42rrXfRWX1WVBv/Ka926edi67uGV19U0iIrp+lpnvNqHdD9swb7tf+7h58WtW4rK/wvPYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKZjDJc1ei0REREREREREREREREREREREREREREREdEKLWuiRr9OHrlpv88mTlrkxwl6uE2/ks1mEQgElO1ERES6/FGr1dDv913bKpUKLMtybSuXy1Cdmmuapuv9w+EQ5XLZtc2yLFQqFde2wWCAarXq2tbv91Gr1Vzber0e6vW6a1u320Wj0Zh6WwCg0Wig2+1Ova1ey/pVNBpFIpFQtudyORiGsfBlvTLQPMvm83ll2zzLxuNxxGKxhS9rGAZyudzMz0tERFffrHmvWq1iMBi4tl3XLNjpdNBsNl3b2u02Wq2Wa9skk7H7QSKRQDQadW1LJpOIRCJTt+km0k6n0wiFQq5tmUwGwWDQtU1X79LlQFXe0uWpQCCAbDbr2ua1LbocFgwGkclklOvVvTZERLT5VNlAl21UuU2XXVTZq9lsotPpuLapMqAur+m2we/P5Re6PBIOh5FKpVzbdHlDlSeu6nMB6rw363NdN+Jnk/w5Nc/tda5rme99uVasuz3NY9e5Lt13O6JNo8pb096/yHWt4jlWtb262uA6qY7jTXu/X9e17u1lvYpmIX5Pk7/ryZ8z4ndYud4uHneQ6/TiZ5J8PEE+FiAvK2+DfDxFzpOq79mLIGcx+T0n1r7l71pyvTkSiSCZTDq35fe1fCxAfi6x7u31XPL3La/nIiIiIpLpst6q2+Q8KD5WPoYjL6s7RjEvsf+EnM9CoRDS6bRzW85jcp8NMVfK2U7u0ytnOd12yLlQrr3LmVPXX5aIiIiuFjlHiTU3sQ4oP26a2uKk9UO5Xij2xZH7HIvnd3mdRzYrsSYo91WVs5iYn+TMJ2Y8uTYoZjg5s4lZUc6G4rbJ2U/Oesx2REREm0/VR2/SvnyzPG4Ryyzy+O2kffQmub7KZTieEBER0a/qP2J9ScwNdrtY/xFrT3ZtSawdebWLtSM7k4jnOy3i2KF47E6sFYnH3ewsINZvxOOH4jrEmo5YF3Jbh1grEutNqnUQ0eTsz6dWqwXTNJ3rqp+TPEZ+7DTjl9nfMXQ/8/n83I/hdxciIqKrrVqtotVqodFooFKpoNVqodlsolwuo9lsotVqjVyvVCpoNBpotVqoVquo1+totVqo1Woj69JJJBJIJBLIZDJIpVKIx+NIp9NIp9OIx+NIpVLIZDKIx+NIJpPI5XKIx+OIx+NOdonH4879dqYhIiK6iuy6wbSX09NT1/FE7f3mpJdisYhiscixfYhobUzTxNHR0djl+PgYDx8+dPoyx2IxFItFHB4ejl0+/vGPK8cvI6L5tFot/OVf/iX+9m//Fl/84hfxz//8z3j++efXvVl0hVUqFfT7fVQqFVSrVZyenqJSqaBWq8E0TSc/2z/tmlaz2XT6BfR6PbTbbfR6PXQ6HfR6PadfgmVZvhyXa1qGYSAYDCISiSASiSAUCmE4HKLb7aLZbI6N7ZjL5bC3t4ednR0UCgXs7u5id3cXhUIBOzs7KBaLzn07Oztr+q02Q7lcxgcffID79+/jwYMHzs+HDx9iOBwiEong5Zdfxp07d3D79m3n5yc/+cmFHZNttVo4OTnB8fGx8ufx8fHYmMH5fB77+/vY2dlBLpdDIpFw+rh0u13U63XU63VcXl7i8vIS9Xrd9f9pkxmG4fTDCQaDCAaDCIVCCIVCiEQiCIfDiMViSCaTTp07lUohm80im80in89je3sb29vbuHXrFlKpFIrFIuLxuHYuA1qdu3fvAgDu3bu35i25vuz9cbPZRKVSwfn5OUqlEs7OzlAul3F6eop6vY5KpYJ6vY5Go4FGo+Gcd9rtdtHr9dDv99Hv9zEYDJz993A4dC5XRSAQQDQaRTKZxN7eHg4ODpBOpxGLxRCJRNDv99Fut1Gv19Fut1GpVHB2djZWG8zn8zg4OHDqfQcHB2M/b968qZ3PZRbHx8cj+8P79+/j3XffdfqC5vP5kf3hnTt38KlPfQp7e3sL3Y6rot1u4/z8HMfHx8775uzsDKVSCc+ePcP5+TnOzs7w7NkzlEqlsfmtkskk4vG4s38fDAbodDrO+8p+H10FhmEo9+vhcBjhcBjxeNzpp5tIJJBMJp3j13t7e8hms9jb20OhUMDW1hby+Tx2d3eRzWaVczARLcLx8TG+8pWv4Hvf+x6+/OUv45vf/CZrm0RL0u128eTJE9djEO+//74zRkkoFEKhUFAeg3jxxReV8+wRES3TrP1JLi8vXc+bm7Y/iX3Z2dnh/DhERHTl2OMm2ud+lstltFqtkePRdp1bdW5FrVZDq9Vyat72Mjr2MSjduRXZbBbxeByJRGLs3IpEIuGcD2rXA3mMioiI6Oqbd7yLScfEmGbMwEnHuZhnTAyOm0M0HXFsLXFMeXGMG3Hcefs9L47rLo7fJa5DHKtLHC/eHvdLXIc4hpg4Dv2ix/sSx2a3zz8Xx+GyP0PEMbvE5e0xwrzaxTHpxXFG7THl5THjiYiIaHXjni9yGXlOxHn5eax0VZs8VzcRERGtjy7DyLf91Cbfnmbs5WnMknWmaVvFc8jzHhIREdHVI8/JLOcm8ZgbMDrXszxntDz3s5yzxGOA8pzSXtsh18Wm2Y5FkudeFuf7AUbngpaPz4nH+IDxOpc4V7Q857M8d7RuO+THim3i/EMA5wkiIiKi6cnZS85xchYT+3YB432z5JwnZkZgNPfJGXLabZEzppxX5ey7SHIOE/uPAeM1OrkuJ+c2MTsCozlUzpJiv7JZtkWXJ3nsltZBfi9P0jbt/dd9Xcv8PJyH/Pnkdf8sy1z3dXFuUNoUsx4Xnvb2Kte9iHMYdGY9Bj3t7VWum8ey9XR1ct3/m/ydzCZ/HxOJ5+bI5O+EIl1fjUql4jouv2475O+Ek26Hrl+uajvEc5Om2Q6/kI8jiHRZQXdMQZUj5O+kk26HfBxk0u0Qvx9Puh3y9+JJt0P1O+teQ85rSkR0fejGQtDlMbnuLdPVbcRzt92I9XaZroaky5a6nDVr2yz1rHna/ESXS+Q+J8tum6Ue5dWmy1bLaNN9b5y1jYiIri9V3QzwrgfpMpyutgboa1de2VGXO3V1NsA7P+nyri7rAfpc6tX/d56/g1/J/ZBFch8Nma5O5jXGkK6/h66WBujz0jJypJ/aiIiIvHjV6Lzyny6HeWU4Xf7THd8E9MduvXLnPMvq8q7Xa6XL2V7ZUJcr/UqX37yyny43zpM5vZbVZV3dsWJgvJ+0SFdHBfR94HQ10XmXVR2rJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiotUwhqoz2YmIiIiIiIiIiIiIiIiIiIiIiIiIiIiIrhHdBCi6yUIqlQosy3Jt27TJmnUT6nlNAqObjMVrQhXdpCheE/X5kW7SOq8JU3QTl3hNPqKbBEQ3mbHXJHy6CWC8JmLRTabiNalJPp9Xti3rNSYiIpqWLsfocqIuk6kypC6P6Sbd02VLXU7TTWyny5y6/KbLm7o8rsvOuhzqJ7oMostMuknidPlPlaUMw0Aul1Nu5zyT4S1rIr11TcJHREQE6LPGJmQ65r3V0U1mvAlZUFcj1NXbdPVB3UTMuoyny3CxWAzxeNy1TVcDJSKi60mXP1Rt096/qmX8/Py6Oui6qbKDLlMsuu06PpcuG5N/yd8fxeMf8ndE8fuw/D1Q/D4sfteTv/OK/XDk5xb7xMjPLX7myM+9zO+Pcr8J+buc+D1M/g4lf8eR+zvI3xnF73vyuuTvUvL3IPn9J65L/t6n+85G5GUVOcOvWWoVz6Grla3TIjPDKta1adsL6PvLEW0y+biCmOnkvKfLoWKbfIxDzJByvhSzp3y8RcyQcmbV5dlFEbOgnM90OVHOdnKtXs6gcm70yrfic8nHFuTnkjOq7nOOiIiISEXOjGINclPbFkGXEadpk/OgnDXF76Ny3pPznZwlxb4tck6Vs6LuXDAiIiK6fsTjJPIxE1WbXx636L4ycuYSb+vapnnsMtrk2+wvQkREdLWIx1LFY67idfE4rXg8V1xWrJvJx2vFXLXIZRZBzDZi5pHrZ+KxVdUycj/ARS4jHhv2Gm+JiIiIRtm5Rjz3X+yz5tYuZg47C4l9y8RzHLza7fwk5h1df+RJiHnCPiYoHsMT2+0+Y2KGEI8r2scBxXZxefG4oXj80c4t4vPy3AWi1bM/w0zTdPrc2p8xdlulUsFgMEC5XHb63tqfc3YfWvuzrFwuYzAYoFKpOOvTjS0isz8/7M8O+zMon887nzN2HwP7s8j+7pPNZhEMBpHL5ZzvZPZ3Ibf1ERER0fVj55xWqwXTNOe6bt/Wzf9gi8ViyOfzTn6Rr+va3K7v7Owo5wAgIiK6qsR98DSXs7Mz1z584n54msvBwYFyXE8ionXp9Xp4/Pgxjo6Oxi4ffPDByNjW+Xweh4eHrpcXX3yRn3FEK/Zf//Vf+NKXvoTz83P89V//Nb785S/zfXiNtVotlMtllMtlXF5eol6v4+nTp2g2myiXy2g0GqjVas7xPNM00e12nWN6rVYL3W4X3W4X7XYbg8EAvV7P6W8wHA6nPr9F9f+ommvBTwzDQDAYRCQSQSwWQyKRQDwed85dHgwGsCwL1WoVFxcXY+NSBoNBGIbh1P5SqRRu3ryJj33sY/jsZz+LV199Fdvb2ygWi7h58ybrdTMol8v44IMPcP/+fTx48MD5+fDhQwyHQ0SjUbz00ku4c+cObt++7fz85Cc/6Zt5o1qtFk5OTnB8fAzTNJ3r8k/5u2ksFkOxWMTBwQGKxSJ2dnaQy+Wc8+sDgQCGwyFarRbOz89xenqK8/NzlEolXF5eogCBUTsAACAASURBVFqtuh6Dt9+zm/AenZdhGE6/I/sSCoWc930oFBp536fTaacWkEgksL+/j62tLeTzeRSLRWQyGRQKBSQSCWxtbXH+Co27d+8CAO7du7fmLfGnVquFDz/8EI1GAw8fPkStVsPZ2RnK5TKq1SrOzs7QbrdRqVTQ6XSc8xza7fbI/tuyLPT7fWf/bb+v531/i/v2TfusCIVCSCaTyGQyyOfzKBQKKBQK2N/fx/PPP49YLIbhcIh+v+/0eyqXyyOfz48fPx4ZczASiWB7e9v5LLA/l+Wft27d8t35sMfHxyP7z/v37+MnP/mJ08c0n8+P7D/v3LmDO3fu4ODgYM1bvlns3C3u799//3386Ec/wgcffICTkxPtmJN2P7dMJoNYLObsv/r9PlqtFhqNBjqdDrrdrpPZrxv7NbEvdn/mUCiEcDiMUCiEWCzm9A+09+upVAqpVAo7OztIJBJ44YUXkEqlUCwWkUwmsb+/73wP4PhF19e//uu/4itf+QoymQy+/e1v44tf/OK6N4no2jFN0/XYxdHREX75y186dRf7e7LbsYtPfOIT2rmpiYjWZdZ+LG71aGD2fiyFQsF331mJiIiWbZbzQrwe5zVepH3e66TnfExyfXd3Vzl3PREREV1N9rhE84zZYfczsMciMk3TGY9IXt8kphmzwz72Zo8dZD9GNwZIPp/nWEJEayCe+25/3xHHRhPn7RTHSRPHNPMa88yr3X5e8bnmnXd5ljHRxDFhxT4E9thnXu3iZ5g4jpo9bpE8zxIRERHpiePSi9lAHNtVzC26ZcR5ynXLiBll3mUWQcwUYpaQ53MU53oUc8q8y4j5ScxCYu4RH8+8Q0REtDlmmWtxmrZVPMe8Y+6rqOZYnHQuxnU9Tp5bnIiIiK6nReW3RS4777oWPcc34K+5u2dtE2uHRERERPNaVvab9/a865pkXphZrDr7Les57H51RPQrumMPqrZp7/frula1vcv4nr8I8mek1/2zLHPd18V5YMkm97GT5y2WzyOQM125XB4Zb1Xs1yeejwCMnv8AjH8+2eO028TPKHnd4rkQwGg/Rrd1L5J8rpV97pZNHj9RnAceGO0raBgGcrmcct1iRpT7A4rrkbfBPqfCq033OUFXzyz5Yhlt13E7lvmZtAh+zTKrWmZVz89jSURE5MYv2ei6t9njgPjdLBmEbYtvs8djISIi8qLrIyHXz2VyvVwk18dlumxjWZZ2jiavOpZpmso2+fiCTDyeIJOPH8h0xzR1r/OsbX7ipxzENh5PISKi5ZD7O8h0WWieZb0ymC6/eWU/XW7UZU65b8gil9WNo+mVkzelfijyyi+6vmO6MRLkfi4y3Zyj8ywrj9Ml0x2LFcfrcqOr94nje7mR+wRNs6zY74eIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiDaTMVSdgUNERERERERERERERERERERERERERERES+eXiVGv63boJrbwE68JHOaZvGpZk2Jt2rLzrFc34QQREdEi+SWz+alt1duxKZOB+WnC1E1oW8Zz6SY0IyIimsWqstIq1uX3ZTahZuiXHLUpbcx7RES0LuvONlfp+XXrqlarGAwGrm3rtKrcsop1+fn50+k0QqGQ6zJEyyZ+fxQ/p4bDIcrlsvO4ZrOJTqcDABgMBqhWq05bvV5Hr9cDAPR6PdTrdadN/HzrdrtoNBquz91ut9FqteZ67kXJZrMIBAIAgGg0ikQi4bTlcjkYhgEAiMfjiMViAADDMJDL5ZzHiX0wgsEgMpmM0ya+58PhMFKplNMmf07IfTnEbZOfMxQKIZ1OO7flbSd/U2UBtxqPZVmoVCpjj+33+6jVamP3dzodNJvNsftV2UT1vlJto2maY/fJ71VRpVKBZVlj94vvdZH8ueL13MByPhsWIZVKIRwOj92ver8GAgFks1nXdWUyGQSDwbH7xc8mkfwZIRI/20Sq2lEkEkEymXRdVz6fd71/nb87Ea2PvK8Rb29Km2r/NC8x98kZcFPa+F2WiIiIFsFP2c9PmXHdWW8RbfyeTkRERCri8R3xmI58PHmSx8nHlsXHicfIZn1crVZDv98fe9wiyMeKxeM14nFi+XHisZhZHicf55nlcV7jGRAREdHVpqqbreP6JI+dl6oeNksNbVXLcAwpIiKixZo3kyyjfRF5x84PXtlj0vsW0S6eL0FE/iZ/HrVaLZimOfN9cptYn/cSi8WQz+dHPl90Pyd5rPwY1fkQREREdD3ZuUXMNfNcL5VKntlHzii665M8bmdnh3VkIiIigbh/n+Zyfn7uOgaHuF+e5rK/v88aKRFtHNM0cXR05Hr58MMPnc/JfD6Pw8ND53JwcIBisYjDw0Pcvn2bfZOJfKJareLP//zP8Q//8A/4rd/6LfzTP/0Tbt68ue7NIvxqjinx2Nr5+Tn6/T5OT08xGAycOtOzZ89gWRZKpRIsy0K5XEav10Oj0UCn00G73Ua73Ua/30en00G/30ev10Ov14NlWej3+xgOh67jxOkYhgHDMBAKhWAYBsLhMAzDcMYKGw6HGA6H6Pf7sCwLg8HAeR57nD2/z6kgCgQCiMViSCaTSKVSyGQyiMfjiEajiEajCAQCaLfbaDQaaLfbaDabOD8/HxsnUPz+UCwWcXBwoLx969YtZ0zLSqWCH/zgB3jzzTfx9ttv480330S5XEYqlcKrr76K1157DW+88QZ+8zd/E4VCYR0vke/ZOeb+/ft48OCB8/Po6AjAR/1YXn75Zdy+fRt37txxfr7wwgtX5rtbu93G2dkZnj59ivPzczx58gTn5+d4+vQpzs7OcHx8jNPT07Hvv8lkEjdv3sTu7i5u3LiBvb097O/vY39/H4VCAYlEwhmXqlwu4/LyEhcXF7i4uMDl5SVKpRJKpRKePXuGi4sLVKtVZyxamX2+nV8/H+TxG+3bbuM62p+D9vV5n9e+BAIBBINB52coFEIoFEI8Hkc4HEYikUAkEkE6nUY0GkU2m0UikUA+n0c2m8Xe3h7S6TQODg4QDoexv7+PYDDo9JXYlL7pd+/eBQDcu3dvzVvizu4LY+/T6/U6Li4u0G638ezZM/T7fTx9+hT1eh2lUgndbheXl5fo9XqoVCrOWLODwQCNRgODwQC9Xm9kv2pZ1kL3q/b/sfiZZxjG2Po3aT8ubr8sEokglUohn89ja2sLhUIBu7u72NnZwfb2NnZ2drC1tYXt7W3EYjF0u130ej1cXFw4n5XHx8een5/252axWMT+/j4ODg5wcHCA/f19FItF7O3tXcl9t2maY/vcd999F+fn5wA+qhvI+1y7hkDjqtUqvv/97ztZ8L//+79xeXmJZDKJT3/6004W/I3f+A3s7e2h1Wrh5OQEx8fHTn1bddvt+HUsFsPe3h5yuRwikQgikQhisRgCgQA6nQ5arRaazSbq9TpqtZrzvWVTPhfk6+J+Fvjoc9Dej7tdFrUN9n7d3qeL+3X7dY9Go873Drt/o7hvTyaT2N3dRTQaxc7OjtM/IJFIsE+kz5ydneGP/uiP8G//9m/4nd/5Hfz93/89tra21r1ZRISP5kN4/Pgxjo6OcHx8jJOTk7HjHzb52Id4uUr1AyK6PmbtP/Ps2TPXeWFm7T+zu7vLce+JiIgEqvNz5evTnMuimjvOpjrfdpbr9m3VXGNERER0PXmNPTLNOCWqx0wzl63XWCRubZPeF4/HlXO7EpE/rWMcOa/2eefnXuU4cpO2q+bKJiIiotnNMh+nH5Ypl8sL6Y85SyZZ9XXOA09ERLTZer0e6vW6c1us2QwGA1SrVafNPo8QGJ8XU5wDXV6nmI3Ex9nnFy7qcYsQjUaRSCQAfHROTC6Xc9rE81YW/Thxbs1JHweMzsHJ82qIiIjIy6R1r01qW5RZ5tT0Wxv7tBIREdGyyBlMrBMCo/W6breLRqPhtFWrVWesKrluKM7lp6tFWpaFSqWi3B7TNJ3rdh81m3iukbxti5LL5ZxxduT6nZjRwuEwUqmU0ybW84LBoDMeJzA6f7tcL7SPGdvEGqGcEcX5U3XbFgqFkE6nZ30JiGhNVN+R5eMqItU5mKrjLbp1qfrGqNYl7wcmWZe8z5lkXeJ+YVnrWjdVXx15P2ALBALIZrOu61LVE1TrkvdZk6xL3nfZxONokzxeNYas6vVQzSPudi6M7jWi9ZDfs2KuBEbfn3JelN/XckaUP6fkOabFzyT5uLj8uSivW9wu8XNaXs+iiP/P4ntHzpDieQ7y/7uuTXzfye9/Mc/KeVJ8X+ra5IxM5FeqHAGMfz7Z5O+5ItX5VLpcospxnU4HzWbTdRlVllHlNfnzdN5tVr02s2zzuumygqq/ju67tio3qfIRMFp/EKmyk26bVblqlm2W6w3zbLO8/yIiIpqUKnd4tenGK5u1TXc+2TLadPlpljbd99dZ2/xGVTPStem+v6pqU7psNcsyqtypq9fNsowqK+rypWp8BdbciIhoHXT9jNm2ujZdTdVvVMdF2bbaNo5nSERE6+J1ntqseWieZf24Tetc1mveCb9ZZY7yU57zy++2KfPUExEREREREREREREREREREREREREREdF6GMNFzDROREREREREREREREREREREREREREREvjTLROS6iRj7/T5qtZprm26S7lm2A1BPMjnrdqgmMp91O3STtuu2wy90k1LOOgC6agJM3UTdukkrZ90O1eTjs26HbqJ13XaoJtAE9K8/ERHROqkmz7EsC5VKxXWZer2OXq83dn+v10O9XnddRjUJz6qeXzdJkC436rKtajsAoFarod/vu7ZtyoREuVwOhmG4tqkmX9TlL91k37oJx3W5TZexIpEIksmka5su7+kyaTweRywWc21TTXIOzJ4hVRPBExERLYMqL+nqh6ocpctyqnylq73Nkv9U9b9ut4tGo+G6jCqn6Wp/5XIZbsM4tNtttFqtsft1r6cfqHKeKgfp8p8qH+lyoSo36TKhKjPpsqKqnqjLkMvIdKrtICIimoUqZ6zrfkCdyVT5SrcuVY7UHUtW5btZspquFrhOujymyii6nKQ6/qvKg7psp3p+XeZS1SRVz6+rK6pymO75VXlYV/sjIm9izUF1fdVt06xD18doVuKxCPm4hKpt0scto01+HL/P6qlqZqrjh26ZRZVLVDU0Vc1LlXtU2Uq1jW41MNU2qvKZahtVdUndcdpVU+Un1XFFVXZQ5RNVBlPVo1R5RpcNVc+t+h10OUu1varfW5c/VfmLiEhnnTlyWW2L4pf8OM9jdcdciIiIiCYl11DE2oZ4zEesncj9kMRl5GNbq25bBPn7uVgr2NQ2IiIiIhWx/iZmK13mE49Nzfo4cYwK8XHycbJJHzcvuf+1eIxH7Iuje5x4/Ed+nNjPZ5bHyflO9TgiIiIi2yT9Ae3r0zx2kdcX1ed8kr58i74+7XLMbERERKs3bwZaVrtqvIVJTZpHVtnOcyaIrj77+5tpmk693z4fqFKpoNvtolarOZ931WoVvV4PlUrFOfbgtY5Jxhm0v1tls1mEw2FkMhnn8yidTiMcDiOXyzlj5tn9bPP5vFNnd1uHfd6Jbsw8IiIiIuCjvrSNRgOVSgX1eh2tVgu1Ws3JQvV6HdVqFa1WC41GA+VyGa1WC61WC6ZpOtfL5TKazSZarZZy/EGbnW1yuRzi8bhzPZFIIB6PI5vNOlkmk8kglUo5+SiTySAejyOZTCKbzY4srxo/mYiIiEbZ+/FpL6VSyXU8klgshnw+P/Vlb2+PdVgiulI6nQ6ePn2Ko6OjscvPf/5zZzymcDiMW7du4fDwcOzy0ksvKccOIiL/+Pd//3f8wR/8ATqdDv7mb/4Gv/u7v7vuTfIV+9wYeyw6y7Jwfn7uHEPrdDq4uLhAu91GpVJx6lGtVgvNZhPNZtPpo9DpdNBqtdDv99HtdtHv99FutzEcDp2fvV4Pw+EQg8Fgrr4LwEdjuAUCAQSDQQSDQYRCIecSj8cRDocRDocRCoVgGAaGwyG63S4sy0K73Ua320Wn03HuGwwGsCzL2a55t2+dgsEgYrGYU5fb2dlBOp12Lna2HwwGzt+vXq+jUqng/Pwcz549Gzt3PpFIoFAoYH9/Hzs7OygUCigUCtjb20OhUMDOzg52d3ext7eHnZ0d5Txi0xoMBvjZz36Gt99+G2+99RbefPNN/PSnP8VwOMTBwQHeeOMNvP7663jttdfw+c9/XjkvxVVkmibu37+PBw8ejPw8OTkB8NE5Zy+//DJu376NO3fuOD9ffPFF1mf/f4PBAOfn5zg9PcXx8THOzs7w9OlT5+f5+TlOTk5weno6MkaoYRjY3d1FoVDAwcEB9vf3sbu7i2KxiN3dXezv7zv37e7uTvTd/tmzZzg/P8fFxQVM00S5XHYdO9QwDOczDfD/Z5X8v2Z/dtsX+zPcvm0/RtxfyJ/Ry/jd7ddV3D5x/2LvT2KxGMLhMBKJBCKRCNLpNGKxmHPMJJ/PI5lMolAoIJlMIpPJOJdCoYBYLIZUKqUdO1R29+5dAMC9e/dc2+1+MXZfmMFggFKp5PSfsb/7tFotXFxcOMeSGo0Gms0mGo2Gsw57323vyy3LQr/fd/4Gw+Fw7O+wKPbrD2Dkb2Bft8cxCQQCzvP3+33nf8O+2G3L2MZlEt8rqu22+xnlcjlsbW1hd3cXN27cwMHBgbKmt729DcuycHp6ipOTE5RKJefz7uzsDCcnJ85n3dnZmetn3e7urvNZt7+/j2KxiL29Pdy4cQO7u7u4efOmcv6A68xtP/2Tn/wEZ2dnAD4a2/fw8HBsP314eLjmLV8dt5z3s5/9DJZlLSXnWZaFZ8+eoVQq4dmzZzg7O3Oyb6lUwtnZGUqlktNeKpVGlg8GgygUCtje3kYul3OOn0ejUYRCIQSDQViWhU6n4xzDt/fn9vF91TzJfmd/Rtk/7c9n+6e9nxTvAz76G9sXeb+yzP26va3iJRgMwjAMhMNhBAIBxGIxGIaBRCKBQCCAVCqFUCiETCaDaDSKVCqFWCyGXC6HdDqNfD6PQqHgfA7b34/sfqHT7Nuvi+9973v4wz/8QwyHQ3zrW9/Cb//2b697k4jIQ7vdxvHxsetxk5/+9KdOrSgajeLGjRuux00+9rGP8fOQiK4c9tshIiLaLPb8fOL5MvYxEd25N5VKxVnG7dwbt7kNRfL5MvF43Dl2ZN+vO/cmnU4jHo8jlUo5j+O5xkRERKRj9/uzx0pXjbHS7XZRLpedvqL248vlMnq9nuc4LV4CgQCy2ezEY6zY/W3ssVUymQzC4bDnOojoelj32Hxu7ao54ye17rH53K6r5l0nIiKi5fLrHA2LzD42ztdAREREfqDKPLo2vzxu3jkkZJPko0U8bhnPlc/nF/ESEBER0RU3aQab5rGrblvUXKqiReS4dbcBzIRERES0fJuaIeXby8iUgL+z4qSPZZ85IloG+9wMmX3uhhvTNF3vV32Gq9Zln0c7zbpU54jo1qXqS6Ral2VZyjnwVOtSvY6L6se0CKFQCOl0eux+e+5hmbxPsqn6K9nn0MhUc7S7zflnGIbrXBmqsfFU5+rY5/XIVPMrq/ax6XTaGT9WlM1mnTEK6Vf8kjcXtf5F8FPunLVN9d4motmpPm90GUSVjew5WdxUq1UMBoOx+3Xn3Kr6+syyzap8NMs267LptNvsB6rsocprgDqXqLIc4J63AHXOU2Ux3TbrxjCeZZtVOUu1LtV+ivsvIiJaFl3+WUbbYDBAtVpdaJtqHDpdfU2XrVS1Qvs8w0Uts+h+6Yukqpfp8pWqTjXLMoC6X5Iq+wHT50XdMqp6HKDOeLMso8uSREREq6I7/sc2f7T5iS5bXfW2WXLgLBlVlYV1+ZmIiMgvVHUyQF+T09XyAHUNENDXDu15xN3ojjPrtlV13BjQZ7pKpQLLslzbVK/bMn43P9H1WVNlInusbTe649O6Opwum+nGQtMdw930342IiIiIiIiIiIiIiIiIiIiIiIiIiIhoHYyhX0fiICIiIiIiIiIiIiIiIiIiIiIiIiKijaUbdHrRbat8rk3fDj9RDebsl0lTrvJ2ZDIZBINB1zYiIiK/UE1U0u/3UavVXJepVqsYDAZj96smFNFN3LKK5wfUk6eoJo3RTaqimsCl2+2i0Wi4LuPXiZ51E4aosoxuYjvVpCXhcBipVMq1TTcxie65dDlMNymebkKTZDKJSCTi2qabyCWdTiMUCrm26TKhbgIYIiKidVlVvW7dy6z7+QH95H/rtsga2iYus6rn52R7RES0Kqra1LLvV9XkNuF+VU3Ta5LqdVDVn1RZIxgMIpPJuK5LVeeapSaoev5F1iQNw0Aul3Ndl6rWp3t+Vb1Ol/WI6OoRv8vL3+sX3baM9dfrdfR6vXlfhhHi56D8mbjKtlnXoTv+s26Lqmm53b/MdfttG1XHb9dhUXWoRdzvp22Zdhv9/L4lIpqFXE8QjxGJfafEvk9y3ymxfiHu+8S+T2LfJcuyUKlUnGXE+o2YGdvtNlqtFoDx/lKqfl3zkPsJibUAuX+RWKeQv8+L/Xh0bXIdRNzHBAIBZLNZp02sZcg1B7kvkqoeQkRERLRIk9QV561LLnqZRfaHWmctclFtuj7tRERERJOYJxMuMvfN8hzzWuYx5WU/LpfLwTCMRbwMREREdEUtO48t6vqi6n1u2WmSbLXK67rxIoiIiGh17CzilVVW2a4a62xSs2ShRS2jateNo0VEJH8WtlotmKY5831y26TnAMmfX7FYDPl8fqL7Jnk8PwuJiIhoFnLmMU1z7PakbZeXl67jYYvkTDPpdVXb9vY2x7wjIiJagFarhcvLS2efLl4Xf7pd3OrN2WzW2Yfn83lsbW2N3Na1ERFdJ6Zp4ujoyPXy6NEjp59TPp/H4eGh6+X555/nXIJEG6pcLuNP//RP8e1vfxv/7//9P3zrW99CoVBY92aNsMcAEscZarVaOD8/BwAcHx/DsixcXl46x80ajQZarRbq9Tq63a7TR8Ee/8f+Wa/XMRwO0W63YVkWut0uLMtCv9+HZVkYDodz9/c0DAOBQACGYTjH0exzpOPxOAzDQDKZRCAQQCKRQCgUcsbqicfjSCaTztjBgUAAsVgMzWYTsVjMqYU9e/YM9Xod5XIZlUoFrVYL3W4X3W4Xg8HA+V38OL/bvOzXK5vNYmtrC9vb29jZ2cHe3h5isRjC4bAzHvJgMECv10Oz2USj0UC5XMbFxYVzefbs2djfO5FIYHt7G3t7e9jd3cXOzg4KhQL29vZQKBRQKBSws7OD/f19FAoF5RjT61CtVvH9738fb775Jt5++2289dZbME0TyWQSn/70p/Haa6/hjTfewBe+8AXs7u6ue3PnZpom7t+/jwcPHjg//+///g+np6cAPjov7aWXXsLt27dx584d5+eLL77I89UWyK7Vn5yc4Pj42Pkp3/fkyZOxMdjy+TwODg5QLBZxcHCAfD7ven1/f39knHPx+IBdJ3CrKZRKJTx79gyXl5col8uo1Wqun4viuhfx2Wn/f63jM9h+bntfFAqFEA6HEYlEnDHr4vE4wuEwgsEgIpEIOp0OgsEgWq0WLMtCu93GYDBAu91Gv98f21cOBoOR/eWyf0/V+9V+3lW93uJra7++gUAAwWAQwWDQea1DoRBisRhCoRDi8ThCoRCi0SgCgQDC4TB6vR6GwyE6nQ5arZbz074+GAxGcskqfjf591zk84mvGwBlzkqn08jlcsjn886+V6zf2dfl+9zmazVNU/t5ZN93eno68rvGYjHXzyD5vlu3brGv1BJc5/16pVLBD37wg43JcIPBwNnHlkolnJ6eOtdLpRLOzs6c9vPzc1xeXo6tI5PJYGdnx7lsb28jm80634sikYizf7b3RaVSCefn57i4uECpVHL27c1mc2mfk+vYp4ufm/Y+JhgMIhwOI5lMIpFIIJFIIJ1OI5vNIplMYjgcIhwOo9vtIhAIoFarYTAYoFKpoN/vo16vYzAYoNlswrKssf2NeFnmvsf+3eyaorwvtbOJvU+1/xdisRgSiQTC4TC2t7cBAMViEYZhYG9vD4lEApFIBIVCAYZhYGdnx+nrbx//sft66ObjWSXTNPFnf/ZnTm3mH//xH7Gzs7PuzSKiGfGYCxHR9OSantvFrU2cJ8IWDAY9+wWJdQXxOudQJCIiWgz5/Gfd+T+TXlfN6W2b9Vwgt7atrS2Oe09EREQzmWe8mEnvm8Q848VMMuYMz7kiIi/LHM9w1nXOOwb0MsYrnLedYz0TERH5w7rnu5jksfa5mfPyw3wXk1znvGZERETXizh+BDBaBxIzkfw4cX6MRT/OzmnTPG4RwuEwUqkUgI/O0clms06bWNvPZDJOX3VxHHn7PC5gNF+J6w0Gg8hkMgAwdk6OmMPE50gmk4hEIgB+dT4PAGf8DCIiIqJ5qGpim9S2qPlsRdPW1PywDOc4IiIiolUTj6OK49wC45lNPK+p0+mg2Ww6bWKe63a7aDQaTps4n2S/30etVnPa6vU6er0egI/GYRPPmdZtm1xX9DrnahZiHQ8Yrf3Jdb1sNuuMCyXWEoHRPm6hUAjpdNppE2uW4uPE55bXN8syREQ0vl9T3bcp969rW8TjfOsm11uuwv3r2hbxuOaq+alGOWvbMrLoLLVFXdsi1jFNm3jcnYgImD5zzLLMIte1qdu8jONt8/JT1roK98v1KiIionVYd4ba1GVmXZ9pmq73+8G0WWbRy/hhG1a1jHguAhERkV+I/YHYtp42+ZxNP9HNg6Y6jiSfCypS5SHxPE+Zql++3H9LpBrLTNcXS3Ws1Z4b143Y10ykO9dUNX6ILl8SERFtokXX3vzU5pft8GpbRl+oRVt0PXEZbX7ZjmW08bg1ERERERERERERERERERERERERERFdJ8bQ7z2siYiIiIiIiIiIiIiIiIiIiIiIiIimpJoYSzU5gmpA2263i0ajdyjhzwAAIABJREFUMXa/ZVmoVCquz6EaALder6PX60383L1eD/V6farnVk36qnrudruNVqv1/7H3Js2NZNf595OYEsQMcCqy1VOpZbWrbVlS245wdHtY/CO89sZLR3jhCId3XvgDeG176YWX3nppfwBvquUIK1oKSe5J0apuqbvIKpIg5iGRAPJd1HtuHyTvBQECJEHW84vIwMVFTpjyPnnuGS70j8djdDod6zHmJf/dFOYVRphXmNxVnAEAqtWqtX9eUYmrnoersMRVz2NecYl5yXjnnYerwMS8whyEEELIXea2C8a+LMff1GISt10M9mU5vqsoGyGEELJpuGxnrgKsy/a77H/r6o+iCM1m89r6Abd91tW/qToQuLnirC67n8t+d1cL5F7l8ySEEEJum3XZzNj/ApcmvC3WZStj/wtcWpgQQm6bXq+H0WgEYHaM0r5T2k9M+21pG07c3qLHNW3faLfbmEwmAGb9tlznEbc36e3Xhb5Ga3uD53moVCpmPW1XiNsStP0gfv+v/a7i9/n62HoMiR9b+1PNO7Zg8wV02e6WWdfma3dd67pshPq3ctn7AOz2NZf9bp5v4G3gshfZ7GUu+5bLHuXSLC7fPZe9y3aO8d/vZefo8uFznaPLxuc6R+owQgi5HbRujGtF7devx3atQePjstaXWhP2+30EQQBgVrfGtYTWBFp7aO3pilG4KloH6vFLa8L4+KjHeT22aZ0aHzv1NvHx06U346/FdapLhxBCCCGEXCdam8Xn01yvrXObq2yv9eg60JrN1V50vXVuP++1eXGWhBBCCCHLMm/eWdsV9dyga645CAL0+30A7nnu+LzhInPbrmOsip6n03pLz/dpe2J8Tk7b+7RtUs8nu46hbY7aRz7ul6+13zz/f0IIIYSQRVjFfreO9k3a/1ax591km35WhBBCyGai/erEXiaaRdvTxE6m7V9i19L+eGJb09vqY4hd7LLXr4rYmLTtSWsSsW1d9rq2lWn/OvF903auy16fl/+WEELWwWAwQKPRmLkfjfdd9vq8bRYhm82iWq2aa2L80fbaon1bW1u8pySEEELIyogPR7fbRb/fR7fbRavVQq/XQ7/fR6vVQqfTQb/fR6/XQ6PRMO1Op4N2u22eN5tNZzy6ILFU1WoV+XweuVwOxWIRpVLJPK9UKigUCsjlcigUCqhUKsjlcsjn8yiVSigWi9ja2kKhUJhbx4UQQggh66PZbKJer6PRaOD8/Bzn5+eXthuNhrX+XKFQQK1WQ7VaNUv8ues1xmATQsgLhsMhjo6O8OTJkwvLp59+avJ/+L6PV155BQ8fPrywfOc733HmhSeE3F3+67/+C3/7t3+LKIrwr//6r/iLv/iLub6cYRii0WggCAJjDxKbUBAECILArNvpdDAajRCGIYbDIUajEfr9PsIwxGQyQRAEmEwmGA6Hxj9iPB5jPB5jMplgMpkgiqK15LP0PA+JRAKe5yGZTMLzPGQyGXieB9/3kUwm4fs+0uk0fN+H7/vIZrNmyefz8H0fpVIJmUwG1WoVmUwGxWIRmUwG29vb2Nragu/7yOfzmE6n5rOo1+vo9Xo4OTnB0dERut0uzs7OcHp6auxj4gcrfiDT6fTGap4sOnd4neeTSCSwtbWFYrGISqWCUqmEWq2G3d1dvPLKK6hWq6hUKsjn80ilUgjDEIPBAOPxGEEQoNlsotFooNFo4Pj4GEdHR2g0Gjg9Pb2Q81LmUvVyeHiIg4MD6/3FK6+8Ys3VeFeZTCb49NNP8eGHH+KDDz7A48eP8emnn2I6neLg4ADvv/8+3nvvPbz77rv4wz/8Q2seyU2g0Wjgo48+wscff2wef/GLX+D58+cAXuT5evjwIR49eoR33nnHPD58+PCWz5zEGQwGM/9bacf7fvOb38z8n33fN/f/8h/W/2Xd56qhJMg1JG6jiD/W63Vj62i32858uHFbRBRFa7mGyvVaHqMogud5M/ve1HpZ9w09dsr3oJ/f5vnYXlv3b8TzvAvHlJjyODKnJza77e3tC/Y7acf75jGZTHB6emr01cnJCZ49e4bj42Ocnp7i6OgIz58/x/Pnz1Gv12e2LRQKODw8xN7eHvb393FwcIC9vT0cHBxgf38f+/v7ODw8xO7uLv1VNxSbDvjoo49wfHwM4IX/8VtvvXVBB7z55psb6Tdn02effPIJoii6U/psWeIaIL7EX1tG2z948ADZbBaZTMbcB6bTaSQSCXQ6HTSbTXMNqdfrOD8/N34OvV7Pek3T4+8q6N+g7fd4U+O61hWJRAKJRAKZTAaZTAbZbNbck+3t7aFSqeDw8BA7OzuoVCrY3t5GoVBAMplEoVBAv99HMpnEyckJgiDA8fExer0e6vU6ut0u2u22ue/t9Xom78d4PMZgMMB0OsVoNEIUReZxPB4jiiJzb3yT98eyaBuCLKlUCqlUCul02tgR5Le2tbWFdDqNfD6PQqFg7nElP4i0S6WSsS9Uq1Wk02mjV7e2tvD48WP8/d//PcIwxD/90z/hr/7qr27kvRNCbo4gCPD06VPrfM0vf/lLc6+ZTqfx6quvWudrvv3tb98rexUhhKzCdDqdseHZlvhr8txW42Jra8vYJrTNYl67VqvxukwIIYTcAJKbIx7LJHanVqs181qz2TSvydye2KkajcalsUxi1xFfhVwuh1KphFKpZOKV9GvFYhHlctm8Vi6XUSgUkM/nzbqbaKMmhBBCyN0j7td71Tw4rtdctcbjLJPzZtk8OYwDJ4RcF7pWybpyPOpckjoOQ2q16LySl71+FdaZ41HyTupaKLKerp8s97g656T2fZBjEEIIIWQzue2aI4u2de27Vbis5scm1BxhfWFCCCGEALM1e4HZGiPaLhWvH+xaT9udrlJzWNeB0/sdjUYmR9Gqti2NrgEcr8mr48TFXgXM6qhV6/4uW1tY28sIIYQQQtZFs9k0MdVag8Vf0/OewKym0zpOazepKSBoHenaJq4j9XG0H67eZh1onafnH7Vm9DxvJpbnKtto3ae1ntaQV9mGEEIIIeQ2iWtFrfvCMJyJrdb2wLitT+u9uC7U+hGYtTcuqmMX1ZqrsqieW1U3xu2N2o6Zz+dNzrCrbEMIIWQzcY1Xrpgcly+UHkeF+DgpuObmXLaZ+LgsxMdyodvtIgzDC/1aT2j0OC/EbVBCfC5UiOuT20bPDWpccU622PG4lhC0379G6xCNaz7SphNcx3T59tvydOs5Vo3tPcZtYZPJBJ1OB8ViEclkcua3FP/d6v9I/PvXv7X473rea/r/FdfD82yu83TsOoh/pvpzj383rtfi361rzlr/jvRvLb69a15c/64YE0IIuQ+49I5LkwB2XTav36aFALfuc/W7tJZLV7r6XVrOpVtd/a7PTvv5bwIu/ePqB+waCLDrnXn92oajcWlGV78rhsClSV39LjuS1g2L9FMDEEII2XRcemeexnNpHpf9DXDroats47KVAW59dZVtALdunWfzcGna67CTrIt5es+lc+Zts6yWcmkml23NZeNz+Zq5bIU6DkLjsjnG5yGFq+hlQggh5K4zT0O5Xlu2n9u8wKUvNwGXXnP137dtbur4Lh1NCCGE3FXifkiaebponi/8vJzf8/Ktuex/8+yW83zz7vp72yTmaSDXHC/gnkcG3LY6l73RZScE3PPbrvN22S7n2RZd78VlT3XZQQH3e2eOPkIIIYQQQgghhBBCCCGEEEIIIYQQQgghhJDbwYs2NWqMEEIIIYQQQgghhBBCCCGEEEIIIYQQQgi5B8xLwOlK6Okq5OQqOuRKUjqvUJKryKYrOakr2amrIDvgTkrqOrarSJTr2PMKW90mroJJrgTwrsJFV0kW6jq2K+mp69iAO4novG1cx5l3bsDVErnOOw9CCCHkvuFKLu/SjS69ZSs+NE8zuvSqS5fO25dLZ87Tk673MS8Rv0uDurTmpmpKwK0fr1K8c552cmmxedrOpdFu+/iuBP3zkv0zST4hhJD7hEunufTTuvpHoxF6vd7K/S4757r6Xdpz2f7bxFWoyNXv0lrr6ndpqWX7XTpyno5zFY66ivZ0FXQihBBCNhWXHc6lB212NpfWcdnxXIUs19XvsgXeVv9t4dJFd6XfpdE2rZ8QQsjV0XNxeu5Rj6l6vNfaQs95at2ibUXarqPn8eI+eMuexyrE5+YqlQo8zwMwa5PRdg89Bun5q2w2i0wmgzAM4fu+mQv0PA+ZTMa8j62tLaTTaUwmE4xGo5ki0blcDsPhENPpFMlk0uxjPB4jiiJzPqlUCr7vW/WOy35m+8w2Yd1NsdPZ5ihdc7rLrKt/U4JrrtRVTNyle1z2MNv5JRIJlMvlC/2uQuWuc3TN2VKbEUIImYfWisu2b2N7wO6Ld1W0TnC1F11v1W0W3Z5jOyGEEEJui03WiK7XXHEfV+W6NN516kqbDYwQQgghZB3ctD1x1WOs019tFY12XdrP1XbNIRJCCCGELMtleuy6td4i7XX5Ll6HLrO1qfMIIYSQlw/RLjpOVfKz6dgNiQfRsR0y96l9/EX/6BgBsYPpeBHJZ6fzlqzihyc+8aJptD+8jn+U9bRfvO11nXNC/ON0PIn2n7/sdUII2TQ6nQ6CIEC73TbjQLPZxGg0QrfbRbfbxWg0QrPZNPfX7XYbQRCg0+mYcaLRaJhre6fTwWg0cubd18g1uFAoIJPJoFKpmPvLUqkE3/dRLBbNfWa1WjXX5WKxiHQ6jUqlYq61ch2uVqvOuCdCCCGEkHWg5x8ajQYajcbM82Vfc+V6F7LZLKrVqrnXjbcve67btVrNGpNOCCGEkJtDtMDx8TGOjo6MLpi3nJ2dWWOQ9PjvWg4PD3FwcGCeb29vc06fEEIWIAxDfPXVV3jy5AmOjo5wfHyMJ0+ezCxCtVrFw4cPrcsbb7xhrRFACFk/2t9B+29KfspWq2X8HJ4+fYooitDr9Uzf2dkZptMpBoOB8XNoNpuYTqcIw9D4OfR6PUynU4zHY3OMIAgwmUzMYyKRQBRFa8tBFCeRSJg8guLnkE6nkUqlkEgksLW1Bc/zkM/nkUgkkM1mkc1mkUqlUCqVkEqlkM/nkc1mkcvlZubftre3kUgksL+/b+beSqWSsTFpPwjx9dBzhPI5P3/+HJ1OB8fHx2g0Gmi32zg5OUG3252ZVxwOhwjDEJPJxHxm1/W52ZA4d/0oizzX53WT57i1tYV8Po9SqYRKpWL0/IMHD8xzeRQ7oMzbyjyuXuL3IKenpxd8m233GPF7Cr1861vfsuapfNlpt9v43//9Xzx+/BgffvghfvSjH+H8/Bz5fB7f//738e677+L999/Hn/zJn2B/f/9Gz63RaOCjjz7Cxx9/bB5//vOf4+TkBMALXfPo0SO888475lF0Dbl/NBoNc12Qa4S+Vkj75ORkJv5VXyv0NcLW3t/fd9ak18hcyXA4xK9//Wszpjx9+hSdTgf1eh3Pnz834434tbTbbfT7/Rn/RxtyXb/JMWYT0PlcEomE0RCSBzufzyOXyyGdTuPw8BCZTMbU9grDEI8fP8Z0OsXv//7vIwxDnJycIAgCM54HQYDhcIjxeIzJZGLmu162z1nQn7frM5Cc4blcDtVqFcViEdvb26hWq8hmsyiVSiiXy9jZ2cHu7i4qlQpeffVV1Go17O3tLVVXdzgc4vz8/IIOsLXjusD3fdRqtZn/s+0//sorrzhrJ5O7T6PRwJMnTy5oB7GJlEolfOc737mgHW7aFtJqtfDjH//YaK/Hjx+j2WyiUCjg937v94z2+rM/+zPs7u7e2HndBS6br1jXPYTcj3qeB9/3EYah2Wez2cT5+TmeP3+Os7MzNBoNc1/Z6/VmcnXEkfu1VfE8D4lEwtwLypipjxFFEabT6czjTdwbxu9Vk8kk0uk0MpmM8bEtl8vI5/PY29tDpVJBuVw292qVSgV7e3vY2tpCuVw2PrpSQ0N8WPS95LNnzzAej/Hs2TNEUYTj42MAQL1eR7fbRb/fn/E77vV6CMMQ/X4fYRgiDEMEQYAoisxjGIaIoujW7v3j6HodwIvxOZlMIpFIzNQNkd9tqVSC53lIp9MolUpIJBLGv1nGdbGvpNNplMtl8x3JdUfXkNBxK7qGiaveLCFkNUTT2JZf//rX5n43PtcjGvjhw4d49OiRtZYMIYSQi2gf6UV9o1bxi4rfg9AvihBCCLl9bPFT8+Ks5q17fn6OIAjmHm+RWKpF4652d3dZb4sQQggh14LO3yNzc5LHrdlsIgxDdDod09doNGZ8dC/LDbRI3SuZwyoWi2a+qlqtGr/gYrEI3/dnfIYlp08+n0ehUIDv+xfmHWWfhBCyiUh+NOCb3JY6L6Zcd4Fv4k4ue13n0JRrsI5lseXTlHtdvZ9l0bktJR+bLcdmMplEqVQC8E1eTPELBb7xU9D52UqlEpLJ5EzOTfFh0PEjUmcwXsOGEEIIIXePq9Zbucm6Luuq83xTdV1cbdZ1IYQQQsiqsCbz5tZhjh9D7GeEEEIIIdfBdWnBm9xmVa5L713nNjq+nBBCCCFkk9hk3Xjdc8jCJunGRbcRn0BCCCFkWbSPu8Zlv9F+9JpOp3MhFyUAZ/1Nm+/8dDq11jofj8fodDoX+rX/vkb76GuWfU+2c9cxBRrX+79JXHXadT5DQccWaHQeREHHJmhcvm3VavVCnyvOoFKpzHxXo9HI1M0AMPP9ptNp8xlLDRHJoz0YDIwelNgQydsoeTAl77b+LfV6PURRhEQiceF3pr9THX+if1+u38NV0PEZ+rvU35WOHQFm56El9gOY/R61HfK6jkEIIeRmcGkZl/Zx9bv0n0tbufpd46BLu7n6J5OJqQumcWlDV7+O44zjitu8ajzndeGaP3RpKT22L9KvY0Q1Lh3p6tcxqRqXxnT1u3RmXI9c1u86T+oVQgghdx3JRxHHpecAty3uKtu4dCDgjguYZytxHce1L5e9zTUv6LLxabuOZt3+a+vAFXPgqlGibTUamz0QcM8nunSTy/63Lt26rD5dVoe69CYhhBBy33DpHZcdDXBrJ5etDnDrMJfdD3Brunm60aUP5+nTq+hgl9522VWBzbMnalya0aXFALf+nJdDzjYXDLg1osumB7j15jwd59KuLk0IuHWwS1+69KhLvxJCCCH3nXl6b57emmd/c+lRYL4fnkv3AW6tNk8Xz3tvrnN0ved5x3Gdt0vLz9O+t4lLJ7p0FeDWnC6N5tKv8/SeSwu7tKNL183ToS5brEsHuzQl4NbULrsuIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCXh68yBbxRAghhBBCCCGEEEIIIYQQQgghhBBCCCHk3jMviaPrtevuvy/HdiV/vG1cSR7X1X8Tx7jNY897zZWokhBCCHkZWUY73Zb2W0f/dR9zXvL02+AmdNhNbbPJx3clJyeEEELuE5uk6e5Dv6vY421xW/bBTbQnrqvfVYiHEEIIuavctA3uPh3PVRj7ptk0vXTX+2kTJISQlxc95t9k+yrbrHPuMpPJwPd9RFFk2sCLQsVSdDidTpviwMlk0oyV6XQa6XQak8kEnueZgrzSH4Yhoigy/alUCtPp1NjPksmkeW08HmMymcwcYzgcIgxD4weWSqXged616b6bxqZHltEuL+O69AskhBByF1hV693G9uuOt9Bj+SLtm9pm3va0CRFCCCHkNhkOhxgMBhfay2o53e71ehiNRhfa2r9Nt7XNUbf1tkEQoN/vr+19az+sQqFg7JFap6VSKRSLRQCA53moVCpme63hcrmcsW1mMhnk83kAQCKRQLlcvpZjEkIIIYTcBDc1d73KPtY5f72KzW+d9sNFj8HYAkIIIYSskyiK0Gw2AQCj0Qi9Xg/ArN2v1WphOp1iMpmg3W4DmLXbaZufxDvo/U6nU7RaLQCY2Yduj8djdDodAEAYhuh2uxfOaRVc+mprawvZbBbArL0vn88b/0Xd1va9YrFofBG1DU+3te+Z1nG6Xa1WAVy0CxJCCCHkfrGofWxe3zr2AXyj766CaCmbvprXt+z6l/VpjUYIIfcF23W/0WhY28u+vui8SjabRbVavXAN132XvW7r297eNvfchBBCCCHXjeiguFZyaad5r52ens7VUXH949JNttds69InhBBCCNlMtGZYZnn27NmFnJFaCyyz7O/vM7aIEEJWpNFo4MmTJ9blN7/5jbn/y2azODw8xMOHDy8sb7/9tokjJeS+skx8TxiGaDabCIIAYRii3W4jCAKMRiN0u12MRiMMBgMEQYDBYIAwDI1f6Gg0QhAEGI/HGI/HGA6HiKIIo9HIxJiHYWj+m+PxGNPpFFEUYTKZXEtu7kQigUQiAc/zkE6nTZ5LyUXp+z4SiQTCMMTp6SmSySTefPNNMxeWy+WQSqWQy+WQyWSQzWZRKpWQTqeRz+eRzWaRy+VQrVbN+rVaDclk0sSliy/rsj6lMh/YbDYxmUzQarUQhiHq9Trq9Tra7TaazSb6/T5OT0/RaDTQ6XRQr9cxGAzQ6/XQ6/XMdzSZTDCZTIx/yW3kQhc7mXwniUQC6XTa5AyV7wj45vcxmUwQhqE5d1mum1QqhUKhgHK5bL7n7e1t7O/vY3t7+4K+13ZBz/OQTCbRbrdxfn6O8/NzNBoN0z4/PzffY71eN99fnFKphJ2dHezs7GB7e9s8yrK7u3uhj3O418eTJ0/w+PFjfPjhh/jggw/w05/+FNPpFAcHB3j//ffx3nvv4d1338Uf/MEfrOV7ODo6wscff4yPPvrIPP785z83/vnVahWPHj3CO++8Yx5/53d+Bw8ePFj52GRzWGYMH41GaLVaZtzudDpmPG+1Wmg2m2i32zg9PUW32zVLGIZm+8lkYp1D8TzvwlyHjCObUFvjMlzzNOs6d9Ebkn9bcm9L7mwZwyaTCYIgMG09Lq/zfK4b+TxlLJdxPJPJzOiuRCIx8/7H4zGCIDDvXeKUXkb0f8r1/xKdrEkkEkaTZrNZFItF5HI5FAoF7OzsGF366quvmjnPWq0GYPnYd+btvt80m0386le/mtEZH3/8Mb744gtEUQTf9/Htb397Rmc8evQIv/3bv73y72IymeDTTz81murx48f45JNPEEURHj58aDTV+++/jx/84Af8Ha6Z6XQ6cy9Sr9dxdnZm7kukHX89fj3K5/PmXkXfr9RqNVSrVdRqtZl2LpdDFEXodDpW3w5Zzs7OcHJygnq9jvPzc2N/aLfb1jFDrp/rGE/keiz3pmI7yGQyZlwDXlyLxeYh9g/RUa7r93WixxGp05FMJuH7PnzfR7FYRDabRblcRrlcRj6fxyuvvGLaOzs7KBQKODg4MPe/Em+7zFgwL+6l0Wig2+2a318QBAiCAL1eD8PhECcnJ8beJPaldrttPluxNQ2HQ+M/PZ1OTeyJaAr57DdFY8gcoNiitB1E+sRe5Pu+0VLFYtG8t+3tbbO+2JsSiQR2dnaMDtvb2zP6a39/3xy7VCoBeFHnpVAoAICxXQGzcdiE3GVGoxG+/vpr6zzRr371K5MXAXhhS7HNEz18+BBvvvkmffwIIWRFruqLdXx8fGFfV/XFevDgAe8jCSGEkA1lkbivRWPE6vW68UOyMS+W/ioxYqwlQQghhJCbwpV7aB05itrtNiaTyaXnsI4cRbbX6d9KCLmvvOy5SG19zEVKCCGEkDhS5waAiaHUNW8WqX+ja94sUv9G19zRbVd9b13DZxXWXf9GxyRrf1Bdf0e207W2tb+oPifmwiOEEELIomhdBnyj4wDMzDno+oZaU2ndpXWa1nhaBwKzulEfQ2KNgFkNp3We1oWrkslkTB4qHZ8Tzxdj02xak6VSKRSLRQDu2B5XvUWXrnTpR0IIIYSQ60brO22fA2a1oq6hpbXbVbbRGi+uHbVeXHSbVdHaTetEYNbupvWb3kbrQ+CbWtfArLZbpE72sm1CCCGEkE1E67j480Xat7XNKn56cbRejD9fpH1b29A2SQgh5D4T1wHz+u/zusvuQ8/13hZx/TKvP5vNwvd9c85S80LyQYrtcTqdmnykOof4ZDIxOSXl+Xg8nnkOwNTVSCaTiKLIzK2Px2PTPxqNjH1U2olEYqauC/BiPn5dn7Hv+zPz1Mtow+vSnK629pUkhBBC5rEOrcP+b9B+gbfNMjrP1X/T+9iUc6aWIoQQ8rKwaVpq2f5NPKdF81TdFC4NNO819s/vp1YkhBDysrNObbbJ29z28YHN05bA5mmzm7YbrrNfx88QQgghxM59sC9u6jHWlTdw3Syrqa6yzW0e47bPl7WjCCGEEEIIIYQQQgghhBBCCCGEEEIIIYTcNl5025kXCSGEEEIIIYQQQgghhBBCCCGEEEIIIeT/x1ZsbDqdotVqXVh3OBxiMBhc6G+1WqZYqzAej9HpdC6s2+v1ZgqtCo1Gw3p+tn27znveOYZhiG63e6E/iiI0m03rsV3JkV3vIQgC9Pt9675uk0qlAs/zLvS7kgNvbW0hm81e6E+n0ygUChf6E4kEyuWy9djlchmJROJCfz6fRyaTudDvSiKXSqVQLBYv9Hueh0qlYj22K/Gc69i+7yOXyy18bACoVqvWfkIIIYRcxJYkeNMKry3Tz+Jwm1f84i4U6HD1uzQ7IYQQ8jJhs/dNJhO02+0L69rscy6bpq0ohcsm6NJgNtulyw7ZbDYRDyF12Q07nQ7G4/HC/S6bqKv/tshkMsjn8yv3u+yRy/a77Hvr6k8mkyiVStfWP8/+SgghhNxnbtpWd5+OZ9OkN81N2/bu0/FYYI0QQshdQOsQV1uet1othGGIwWBg7HSdTsf4Fg6HQwRBgOl0ina7bdYJggCj0QhBEJg2AIxGI/T7fURRhNFoZOxiw+HQrBOGoemPogjD4XAt+iiZTBpfuEQiMdPW+5fXptMpptOpmQf0PA+JRMK8Rz0/OJlMbt3G57JP2fztXDar61o3l8vB9/1OJlG7AAAgAElEQVSNW3ee/yIhhBBClmMRjXmd7UXWdcWRXBVtH1q2fRvbA/RzI4QQQshmIX592h9Qt7VPoW5rv0Td1jHRuq1jk3V7NBqh1+tdaGt/wXXFHOvYV5de03HBuq3tWrqt7XN6P9oPL27/0nOZel/aB9BlZySEEEIIuSm0lnPpNG330zEnOjZDx/LqvDc2Hap1pUsz6hgUW5zLVZB8J1q3aT2mtZ3WbC4dqTVisVhEKpUCMKsDdb9eX+9H61dXnAchhBBCyHWgNZrWZVp/ic7TNkOtFfW8sMRmaL2ndZ3Wj6IT9XG17lw1V4zWVVp7aa2m53N126YbtZ+cbms9qWNq9fFdOtOVw48QQggh959FffLm9a1jH4A7h/UiiN3MNic7r2/Z9S/rc+VMJoSQl41er4fhcIhWq2Xu7RuNhrn2N5tNDIdD9Pt9tNttDIdDdLtddLtdBEGAVqtl1m21WhiNRuh0Ogv7hJdKJfi+j2KxaPxkqtWquRcuFovIZDIol8vmml4ul+H7PgqFAvL5PHzfR6VSMffMpVIJmUyGvjWEEEIIuTUGg8GMpmo0Gpc+d71Wr9fn6ip971utVmfa8efzXpPnzMlECCGE3D20htDL8fExjo6OrK+5NIbWBossh4eHODw8tNZgJIQQsh5GoxG+/vprPHny5MLy+eefG/+8VCqF3d1dHB4e4uHDhxeWN998k3lMyFpwxfO44r7FxjEajUwOTJlPkhyXnU4HYRiaWKXJZILxeIxut4vpdIrJZIJer2fag8HA5J+U/JeSCxOAyZ95GySTSWNbSaVSZhH/hHQ6Dd/3zWMymUQ6nTZ2mkwmYx5zuRwKhQJ838fW1pbxdZB5s3w+b/pdcfGL5DA6OjrC3/3d3+E///M/8Td/8zf4l3/5l7kxSi5flMFggPPzc3S7XRwfH6Pb7aLT6aDdbqPdbqPZbKLf76PX62EwGJjtJL/pZDIxvsfynd4mOrep53nmu8pms+Y7kfivRCJhNHG/30e/3zf/D8kPK+8viqIr+9wsg8y3lkolVCoVlMtllMtlPHjwANVq1Tx3LZVKxcwdn5+f4/z83Np2vR4nmUyiVquhVquhWq2iVqthZ2cH29vb2N7exs7ODnZ3d81zWejbs9l0Oh387Gc/wwcffIDHjx/jf/7nf1Cv15FOp/G9730P7733Ht5991386Z/+KV5//XXnfo6OjvDxxx/jo48+Mo8///nPTfxqtVrFo0eP8M4775jH3/3d38X+/v5NvdV7gfbjcOV6sY3tMm7L9Vr8RWS70Whkxm3Jb93v9zEej02ebBnbh8OhGcODIDDX+zAMzXXfVkduE9DjqbTlnONjlud5SKVSSKfTSKVSZtyQsb1YLGJ7exu7u7uoVqvI5XJmTK/Vamb9Wq2GZDJp4lMWGePH4zGazebM0mg0TPv09NRcr9vtNhqNBrrdLprNJnq9Hvr9/txxKv7eyfqIf5+uz1h0YrFYRLFYRLVaRaVSQaVSQa1WM+O+9Mmi15Nc71q3SzyWviZIbUc9Zyk58IMgwPn5OXq9Hnq9HtrttvktDQYDc/0Iw9BoPdHzdwnJcy+aMJVKmb50Oo1EIoFkMgnf901fNptFKpUy/3vP84yuB2B834AXY5y0d3Z2kMlk4Hke9vb2kE6nnfFnjDO7PlqtFj7//PMZXfLxxx/jiy++QBRFyGQyeOutt2Z0yaNHj/D2228759mfPXuGH//4x/jwww/xwQcf4Ec/+hH6/T6KxSK+973v4f3338d7772HP/qjP8LOzs4Nv2OyCFEUoV6vm+Xs7My0T09PZ57r+yNbrpNSqWTuifSi+2xt3/fRarXQarXQaDRMW+632+226Ts/PzdjfqvVMj6/rtocegxadYyP30OLzUOWcrmMfD5v7CW+76PdbhvNKZpE7Efj8djcS9+mrUDel7w3eX+ZTAaZTMb424jfc6FQQKVSMT7N8tr29ja2trZmfHb0Y7lcNuP0PAaDAf7xH/8R//zP/4z/9//+H/7t3/7Nes8lsdt6zJdYoOFwiNPTUwDA6emp0fhnZ2dm29FohOFwaO7zxU9cat3IvuU+Q+rgaBuI6Hux92wquh6O1MnxPA+ZTMa0t7a2jA6QMTmRSJjY8lQqhXK5jHQ6Dc/zkMvlkM/nkUgkjK+82ATluWgIXa+lUCggnU4DuFh7Wt8H2Oq5EGKj0WhY55iOjo7wxRdfmHwO2WzWOcf03e9+l3mtCCHkGhHNZfPxmrecnp5a7aku/6/Dw0McHBxYXxO7BCGEEELuFqvGrOm2S1sI8fi1q8Ss6XVZl40QQgght4H4snc6nZkcS+I3J/7trVbL+Dm3Wi0EQYBut2vmMpvNppmDk/lOyaU8j0VzKRUKBWSzWTPPKHmVtKYSf5FyuYxsNjszp0QIIS8768q3uo48rreRs9XWt8o+6J9ACCGEvHzomkM6Hk37I0u8SbztqkWp2+LfClxeK32R+kVXQcdqaA2ka0aKf+hl9Yu0H6j2+9S578VHWB9Xx4Jo31E5LiGEEELIVdH1IoFvNBcwq8u0jtMaUOsunXtA5yfQx1i2xrirxvkqXFZvfJH4XK0LtU1skdrjthqWrlqVhBBCCCG3hbbdaR2mdVtcS15lG605tX1Rx7vrbVy2Qd1eFW1zu2pba81V2q765vF4c0IIIYSQTeYqGlDbEYHZeeOrbKPnjLX9UdsxgVn76KrzzJq4ftN5o7RNUdsg9dzzInZKPT/tslnquWaX/XLRnFaEEEIIWZ24ThL0HKlGaxVBaxuN1kKCttNptF1P0HO5Gj1vLMQ1laB1m+B6z7a5YJfNz/Webxpde08+a/ER1HnooyhCKpWaqTcij57nmfz7AEw+7nUg+e6FTCZjnktu1EQiYXKkyjrZbBbJZBKZTMZoSsmFKW3pr1QqM5+D7/uoVqsmn6Zo1XK5bPXB1G2tVQkhhJC7jEtzufpdusulCW0xqC495vK3s2lF13nYNB1g16au92izs7m0nrb33SbaNqfRtjaNLa7DVQ/Epntc879aL2m0PU9w+R1qu6HGZgfUvpMaV9ywLSeY67MjhBBCXhZcGsyl71y2LpcuWlZXurRifG5VcNnv5vnn2bQhYNedgDuvis1OCdhtkreJS3e5NJ32B4zjig925V51zeXa+l26bBk96tKStvOL18m5yvEIIYQQMss8W5lLa7n0pUuPuvSryy7o8qlzaTmX9nOdv01bujSqS9O6NLBLM98WLtufS4O5bJOueVbtH6ix2RYBtwa1aVaXxnXpPJeGdmlWl7Z02VxdnyUhhBBC3Myz97m0nUtTztNZLtuhy+bn0rMujQe4taVLu7p0tktfAm5d69LNLjvubePSmq55YsBtw3TpUJc2m5dHx2X3dGlgl16cZ3dcRge7dKpr3pwxOIQQQgghhBBCCCGEEEIIIYQQQgghhBAyHy+yefoRQgghhBBCCCGEEEIIIYQQQgghhBBCLmXZIk+2JF+uJFuu5GLLFLdapjCVK9GYLfnZOgpybUpCMFdCVVfyWFcCLtd+rpJIzJWYy5Vsy3XseQnGXMluXe/blSjtKonHCCGEEHI5Li14F/o36VwAd+La28CVGPY2+jfpXJbtd2lTQgghhNjtgS77oy2Rv6sQlc3u57IzunSZrTCCyyZpsye6bK42veeyPdpsnZtSNMtmE3Ql5bfZ8Fx2SFvRApfd0KWz1qXtXHbMdfW7bJWEEELIy4ZNN7nmd20azaW71jFvvOrxXNp2HcdzFey6aZYp1rRMYXqX1rMVdlrH8VyacJnj2ebmXYVaWTCVEELIy4jNruWy79nsbTb9MxgM0Gw2jQ4TG2Kv1zN2vPF4jOFwiH6/j9FoZNYdDofmfMQ+OJ1O0e12EUURJpOJOd5oNDL6LYoijMdjTKfTmXXkPYrtbzKZmPdgK+a6aSSTSWQymRltl0gkZuxXoouKxeKMbTCZTKJQKCCZTM7YAcvl8gX/wXXYBa9rXZueW2ZdQgghhNwftB1R61htq9Nzx9rep+e1tYbV9kOtd8UmqLWxtivq4+t5ZZfdcFn0vK+2hUnsiLZvaW2kdZ2e99Rzo9rGp2NLtJbS68e1l45fccWNEEIIIYRsEtoXcZPb65pr1nOem9x2xSYTQgghhNw069Z216EVbX6Qy3Ibum/Z7WzzyIQQQgghN8Wq2m6dOlH32eK9l+Uq+mydWs/1uitHIiGEEEJeThbVUPP61rEPYLV8g/M00Ly+Zde/rI+xFYQQshqtVgvD4RC9Xg/tdhtBEKDT6aDb7WI4HKLdbqPf72M4HKLZbJpxpNlsmpjJVquFIAjQ7XbR6XQwHA6tOTXilEolZLNZFAoFFAoFZLNZlEol4/ddrVaNn3ixWEQmk0G5XDZjgsQOFgoF5PN5+L6PSqXCPAqEEEII2RhGoxG63S6azSY6nQ56vR663S5arRba7Ta63a7RYa1WC91u1yzNZhO9Xg/9fh/tdvtSnxq5Ry6VSigWi8jn88jlcqhWq8jlckZTlUol81qlUkGhUEAul0OhUEClUkEul0Mul2PdJEIIIeQeMRgM0Gg0ll6eP39unUPIZrM4PDzEwcEBqtXqQsve3h7j9Akh5JZoNBp48uSJdfn1r39t7jWr1SoePnxoXV577TVexzccPfcfzwekcwzF69zoPOS9Xs/U0RmPxzg9PQXwIh9Rs9k0OS5lfmg6nSIMQwyHQ4RhaHJjDgYDE0M+HA5Nezwem3xI0+l0pn0b+c09zzNxPYlEwvgdJJNJk58olUqZvEXpdNrkJ4rnNpJ2Pp83+Y9k/gt4MSdWKBTgeZ6x3cj+pa33KfmXNqGOjOQEkEfJu9pqtRCGIc7OztDr9dBoNMy8Ya/XQ6/Xwy9+8Qt89tlnSKVS2N/fh+d5CIIAo9EIo9EI4/EY4/HY5F3dRCQ/QCKRMEsqlYLv+2aes1gsolqtYmdnB4VCAdVqFdPpFFEUIQxDNJtN1Ot11Ot1NJtNMw8bBIH570RRdCP1Qj3Pm7EjlkolVCoV1Go11Go1lEollMtl61KpVFCpVFAul2d8oq96v/Hs2bML+X6z2ezC9xh62d/fp5/2S8KTJ0/w+PFjfPjhh/jggw/w05/+FNPpFAcHB3jnnXfwxhtvIJfLodfr4dNPP8XPfvYzkzuvWq3i0aNHeOedd8zj9773Pezt7d3qe3LFWyzzmlyDAZhrdBAEiKJopt3pdDAajRBFEYbDIYbDobkmj0YjhGGIMAxNzmvZTvJey39WxnwA5np3F9B6VmsAGfczmQzS6TQ8z0OhUEAikTC1QCQ3dqFQQCqVQqFQgO/72NraMo+So1D8VlKpFA4ODgDYx3lXnZE4nU4Hx8fHOD09xenpKY6Pj3FycoLT01M8e/YMJycnODk5wfPnzy/URNza2sL29jZ2dnZQLpeNJtG+OalUColEAp7nod1uYzAYGN+fRqOBwWCAfr+PXq+HMAzR7/cRhqHJry6/h7vyO1gFnTdI2lEUIYqimdfu+2ehNVEqlUImk4Hv+0a7in9XLpcz85IyT1koFLC1tQXP88w9gfZR63a7qNfraLfbOD8/x/n5ubkvEXzfx+7uLvb397G/v2/aDx48wO7uLvb29kx7d3fXeS/r8rPudDpoNBoIgsDM1Ur9gSAIMJlMzPV0MBiYWDi9L1lP9J7cO4n+lZoBk8kE0+n0zvyH5LuXtugvfS1NJpNIp9Mzj77vw/d9JBIJo0XlOihz0p7nYXd3F57nwfM84yMo2+haS9pvPF5nQMfvxet16ryym0ar1cLnn3+Ojz76CB9//LF5/PLLLzGdTpHJZPDWW2/h0aNH2Nvbw3g8xvHxMX71q1/hk08+QRRFePjwId577z28++67eP/99/GDH/zgQo0rcr+46r3YycmJ9R5c7seWmf/Z3d01uioIArRaLbM0m000m82ZPlnq9bo5n/h9sgvP89ZyrZTrjIxl6XQa2WzW+Mlsb29jd3fX3CvLPXEymUS/38fp6Snq9TqeP3+ORqNh/HnEz1o0tVzjRStsCqL70um0ucYmk0nkcjkzlssymUzw4x//GL1eD3/8x3+MP//zPzd2g0qlgkwmY6671WrV5PO+bXuW2Du1HVTso9puen5+buoGdTodY7PqdrumJpDWvpLrXTSAjO3D4dDo4tFoNFM7SI/3YvvZpN/DonieZzSVtJPJpGnLfVQymTTfvdQNSqVS8Dxvxrc/k8mgWCyabeR3A8DY2oAX923b29vWsT1ei1Hrg/i9FnOA3i7z5qi++OIL85+YN0f1xhtvUNcQQsgtscx9x/HxMY6OjtBoNGZs2cJV54AODg44lhNCCCH3hFarZeYdJYZOfIyazaZ5rd1umxi8fr+PRqNh2p1OB+12e6ZGtA2xOci8aD6fR6VSMfF2hUJhZv5U/GjK5bLx+ZI4u0KhwHw2hBBCCNkIpE6x+LBIzgKZq5X5sVarZebAZI5LfGEkZ8FwODQ5ooIgMPWK51EsFpHNZo0PkO/7xkcom83O5HuStvgPaZ9r2Uc+nze5owghhKzGuvLSriPf7Sq1ptaZq3aVfei694QQQgghAGs7sbYTIYQQQu4L11F7fd013teh8YD1116/jvYmx/wSQggh5OXkpvTiqu1V6o1qNkETLtKWXF2EEEIIIXcJnfdIcnoLOhe85PoGZjVfGIYmj+6i2+hj6n7xQQdgfMuBWVuk3ucqSI4fnRcokUgYf3GJ+QNm8wfqXEE6d5XONaQ1otg4Acz4++n8Q4VCweRGkzyxAOeiCSGEEPINun6PEK/xI9hscnHNJti0VVwTCrb54clkYo3107pOiKLI1I2ROI4oikzModQZELSulPUlp7Z8FpIzU/dJv9Q22CS07VByrUr+bF1jRvJl6ryayWTS6ErghRaV+kA6v4TWqLIO8EJbihZNp9OmrlGxWDSaU+oXSE52QWtjjS1vpta2gtbEwqL1DgghhJCXjXidJ1ffOta9b/uwaebbQNsG5/Ut238X97Hs8TjfTgghhHyDK1ZDz6FqbPY4wK2d4jXCBZfNUerfxHHZHV02Rpc9cTqdotVqLdy/jCZ0nftNY7ORAXYbm6uGkp5LFly2O1cuGltsTLxmnmCbr47X3hP0/LcQr9EjLKMHaUckhBBC1sc6bHab1n9b57Ku2Op1sQ6737r6N+lcrtJPn01CCCFkfVy3JnuZj+GyE98Gm6IV7+o+OEdOCCGEEEIIIYQQQgghhBBCCCGEEELI3ceLNiHbCSGEEEIIIYQQQgghhBBCCCGEEEIIuXGuK4HmpiTsZJGh9a67KftYx/FcSfAJIYQQcnVcBXpshcdtxYWkaHgcW0J1VyEfXUhcsCXAdBUrshVUt+lBV/GidrttCpgLrgJLtmPdFq6iP65CRbYCP4C9KBHgTlxpK0CUSCRQLpcv9LuKDbkKJLm0oUsHXue5E0IIIWQ5btLOd1/WtWnum+a+2BNvel0WGSKEEEIWZ1F9dB2a6y4cZ15RoZtik3Xeph+PxX8IIYSQb7jL2uuydaMowng8NnPIMl88nU4xHA4RBMHMHPJwODRz3dpXcTAYbITvYhytZ5LJpHku9q9kMol0Og0A8DzPzM8mk8mZeel0Oo1UKoV0Oj0zL63nejOZDBKJhJkvln2l02mznt4+mUyiVCpha2sLiUTCaLJFNdsy2s42l0wIIYQQcl1ovbmO9rr3B9j9KpdFa6/baC+yrsuvkhBCCCFkU7BpNB3Ho+NsXG0dy6PbOkZIt3U8jW67tGO/30cQBCu/V21L1DpNtwuFgrFX6raOLXG1td+fbut5X92uVCrwPO9Cm7ZEQgghhGwiNt2o48e13tPx25KDZzweo9PpLLQvl6Z0aURbvPmy6DhgHbesY5V1zLWOs9Y6U2tIlyYUved5HiqVCoBv5q6BF/PbhULhwvFdc9GEEEIIIbeB5MbRdkKJada5d7Ruk9w/2iZ4FW2p96/3taou1DpQay9tAxQtpzWb1oaiAbW+1JpO2yJFI2otqI+rtSVthoQQQgi5jEX9/hZ5bdW+VfIozvPNm9e37PqX9dHvjxBCbgc9rjQajUvbi667iN+6Hheq1aq1fdnrtjbziBFCCCFkU2k0Guh2u+h2u+j1emg2m+h0Oqav3W6j3W6b551OB81mE71ez/Q1Gg1rnQdNuVxGPp9HoVBAsVhEpVJBoVAwfdVqFfl8HrlcDsViEeVyGblcDvl8HuVyGYVCAblcDoVCYcbfmhBCCCH3F7HrzFuOj49xdHRknp+fn1tjz8ROs+xycHBA3UEIIRtGEAR4+vQpnjx5cmH57LPPjB9jJpPBt771LTx8+PDC8tZbb7109eN0rZp4XUY9fxKvGanrcQ+HQzQaDeMHUK/XjS1gOByi0+lgOp0iiiK0223jxynzNVEUYTqdotfrzRxvNBqZ13SuzdFoZNYTP9VNQnwJJN+ltMWP1PM84zOaSCSMX6r2K00kEsYvNJlMYnt7G8ALP9adnR3T3tvbA/Ainml3d9esLz6ni7TvGi7/lvjj+fk5BoMBzs/PMRwO0Wq1MBgM0O12MRgM0O/3MRwO0e/3TX7XwWCAMAwxGo0wHo8xHo8xnU5Xzn91k3ieN7Ok02mTW1X8XfL5PGq1mtG2tVoNb7zxBiqVivmdDgYDnJ2d4euvv8ZXX32F58+f4/z8HO12G71eD8PhEMPhEJPJxPh5A7j2XLf6fRSLRfMeKpUKtre3jf2wVCqhWCyaJd5nq1sKvPBpajabZpHnck8hj7Z2/HfieZ75nGu12kzb1qfbtjqphAgyBj979gyfffYZfvKTn+CTTz7BL37xCzx58mRmXPQ8D+VyGW+88QZ+67d+Cz/84Q/x8OFDAN/EVoRhaK6PYRhiPB6j2+1iMplgPB6b66rEgXS7XROzIbmvZTyWuI3JZIIgCExumslkMpMjezweb2Ru7GXxPA+JRMJccyVOJJFIIJVKmVgQyYOdSqWwtbWFZDKJVCqFfD5vrtMSkyJ6IJ1OI5FIoFKpIJPJwPM8bG9vm309ePDAHEv0g45HdrVvE4kXkkf5Lcuj+JW2Wi30+320Wi0z/9Tv99Hr9TAYDNDr9RAEAbrdrtGokrNdfmvT6fTO/s70OK5/Q9lsFplMBrlcDuVy2cyplctl+L6PYrGITCZjfodBEKDVauHk5ATPnj1DvV434/hoNEIYhjNj+Cag37fol3w+j2q1inK5fGG8j6LI3MN0Oh1jM2y1Wuj1ekazyPuV34Tcm9w15DrjeR583zd5+XVOfYkzKxaL8H0fpVIJvu+jVqshk8lgZ2cHmUzG3GvI3Gr8UeLZbrMO0rJ5a2VeGnhxfZH712azOZOzQrd1vKHep76f1ffLovfkPgHAnf09CXLNkP+fvof1fd/UgpD/pIxhuVzOjG2+78P3ffPflXtcybsh221tbZnXxG9S4jF1bCUwm2ctm83i+fPn+O///m/85Cc/wccff4yvvvpqRn8nk0kcHh7ihz/8Ib7//e/jnXfewaNHj/D222/TN5M4GY/Hc+/x5rVtdZ8vu8+r1WqoVCpmkbHNFRds83eWRfednp7i5OTE+OmcnZ2h1WoZG9w8f511IGO3XBNEt+RyOZRKJVSrVTx48ACvvvoq3njjDbz++ut45ZVXUKvVkEqlzNgt53x2dma0i3zmomHEfykMQwRBYK7Hci3e5Oux/oxkyWQy8H3ffF7iC5XNZmd8oWQRu8aicVJ3xYdKx/3rtrZbazu1HvMbjYYZzxuNhpkLbjab5rffarWMDtQ2bB3X1u/3TXs4HJrfk5yL3NfeJ1wawPM8ZLNZ85r8TuU3nM1mjd0qlUqZ+xTRAaJPRUfIb1rnbdV26bje1NfE+L1s3Katcz4AF/XEXWI4HOLo6Mg6v/Xpp5+a3/y8+a3vfOc7d9bmTwgh95lFfNxsy8nJiVV/iJ/b4eEhDg4OFvJx293dNWMxIYQQQu4nMufa7XbR7/fR7XbNXEmv10O73Z6Zc10kXtBFJpMx8XvadiXzl9qWtUi8ICGEEELIprJoXqtlcly5YhvjLJq3apkcV7VazfiIE0IIuVmuK6fvVfaxSJ5FF+vM6bvKPnTdL0IIIYQQjcyXALP5EnQtrOuqeyWxcvq469JhwPXVvdLaSuZtdP1V2b8+vsQt6WMSQgghhFwnorW03tMabTweo9PpAJjVY1rnaR2n9aHWf644Jp1fS85F60l9LqugdZ7Wcbo+qa5louNxJIZMx+Fovab1nNaANo2o9SBroxJCCCHkLrFsjprbamt9uQq2udRNbN+VfAeEEEIIIS5uW0Musq62ea7CbevHRdal/yAhhBBC7gJaq13WH++TfPKi76Rek9R7Ep9FybUeBIHJzwq8mDPv9XoYj8cmFzswqxklv7bUm5BHvV8Apv4MAFOzB8BM/lepP3HXyGQypuaD2C8lLywAk4dTcr3H0Rp1HX3Xsc9Vj6P9BQghhBBiZxnd5+q/rnU3fR/rsmmuyqZpuE3cp/ZnJYQQQsjVuGs6cFPObdW47HVxHbrrOvexKcfT8U+EEEIIuTo6Nlrj0lAuu5uOpdbovDkalxbT9R41rjgZicnW6FhxjStWW8eQa3Q8uWY0Gpk6fxrXZ3lbuOxurnnaYrFoaj5rbDE7Ol5dcOUIsh1Px6RrbHXNbXowXnNSsL3neP1JwaYndfw7IYQQQm4GnVtH49Juy9j6XPt26TadE+iyfeh8Qxqb/nXpU5eudGlrm/Z1adbbwKYbXbrPFbdj04MuPWfTpIBd58VrlAsu26NNG7v0rktD2nSwS8fe5RrphBBCCCGEEEIIIYQQQgghhBBCCCHk7uNFdzHLGyGEEEIIIYQQQgghhBBCCCGEEEJeSu5agu1NOd4mF3BZtn+Tk2lf5zm7EkYSQgghZH3YEhW6EhLakhfakhS6khHaEhe6EhTaEhHakha6khPaknvbNKMrCaQt2eNtJxPIN88AACAASURBVON2JQe0aSZbwkBXYkBbEkFXskBbAkZbokVXQkVXAnGX7rMlawSAarV6oc/1+bgSRBJCCCG3ySp2K5d9bBFW0TNx3RdFkVXHdbvdCzqs1WpdWHcwGFwo0jIcDi/ozcFgcEHvjUajC+sBuHAMOUdb8ZjhcHjhPCeTiTVJdhAEF851Op1a9zEajazr2vZ702QymQtaLpFIIJ1OX9C+6XT6wrqe51mLvqRSqYXWle/Mpu9sWjCZTC68biKRQDKZxGQymfmd2tb1PM+632QyaX0ftnVXxVWM6L5z2/dUhKwDV7GBu4jtHn+TcN3nbxKbUmzhOn+XroIXi+LSQaJn8/m8Ga9d2iquU8IwtBZYievrRCJh1dw2HbrocSaTidlnKpXCZDJBFEXW8c32foIguHAcl7a9CRKJhLX4ydbWlrV4X7wgSiaTuaD5UqnUzO9xPB4jkUhY/yu5XO7CcbLZ7MxxPM9DPp+3FgPMZDIYj8fmO3G9H1thlfhx5Fi2OetMJnMjc9ar3OvdFVzFPQm5bu7rPIGriNWmYiuutamsqoGuyk3oS9sc2zqRcTs+1zwej602vvg882AwuKAfO52O0VDJZBLZbPZCAWjb/LStYLNtbto1X2ybr7bNIdvmsG02EFcB6ZtCXwdFp2azWaPHoihCFEVIJpPmvzqdTjGdTo2dTj5z0cGiifWSTCYxHo/N5zQajVa2g4n2k0XOXdqZTAa+7xst6vs+MpkMstksUqnUzPXS930zN+37vtF/+XwelUplxo/xsvZduw4TQgghhMxD26Zuqr3sduuyLV2m85bRhNfVvu57N0IIIYSQdbOoxlunXlxkX+vw09sEfXiZVqWtkhBCCCGbjp6X1/PpOmZd5uh1zLiOvRI/gcv2pf0HtI+AntsXnbiOeXzxh9F+zzq+W8dvi91P+6VovybtN6L1nvYT1jHaOi5b++WIj7grppwQQgghZFPQek70ntaDovG0BtQaUTTkdeznKkh+HK3xbHpQ5+PRtj3Rd1rHaY2odaEcy6VDtW7c9BjCZWNpbLmv5rGMndjlU+zClnNrHjaf43Wx7LmswssQ/7QKtpxf68KVz+squHKALctV7j2X2WbRa9iiOWvX9b4JeZmIz8/Om7td5LVl11llznfePOsir62rj9ceQgi5O4g9od1uYzgcotvtotvtYjgcot1uo9frIQgCNJtNM141Gg1zT9ZqtTAcDtHr9dDpdDAcDtHpdBbygxd7QqFQQDabRalUQj6fh+/7qFQqZpypVqvmvqNcLiObzSKfz6NYLCKbzaJYLKJQKMD3fZTL5XuVJ4kQQggh95/BYIBGo2EWsRMs+/zk5ORCXhCN6KpqtTqjs2zP562zt7fHWlqEEELIS0pctyy6nJ6eWn0e4vqjWq3i8PAQBwcHF/pl2dnZ4fwDIYTcMRqNBp48eWJdvvjiCzM3Xq1W8fDhQ+vy+uuvX5rTNZ6nM54/c9nncZ+98/NzM6cfRRHq9bp5fTwem+2jKMJoNMJgMDA+nFLfZzwem22CIEAYhuacR6PRzLyKzhsv/qGbiOd5M2NzJpMx35XkUAVe5E/3fd/UAkqlUsZPNJVKmRybsj/xF8tkMsYmkUwmzVwQ8MK/VHxUtW/Wsu2XAZnXk3lBiS0T/1F5lPqtURQZDVev1xGGIZrNJsIwRKvVQhiG5j8i++v3+6aOwWQywXg8vlAP4a4ivnziw5xIJJBKpUy+2Fwuh62tLRQKBezt7aFQKKBUKmF/fx+7u7tGy+7t7WFnZ8f8pqfTKT7//HN8+eWX5vHo6AiNRgPtdhvtdhv9ft9cH+QzlRy6100ymTRzstVqFcViEVtbW6jVanjw4AG2t7cvtSsuYktsNBpotVpoNptmiT939dnyJwMvfNWr1SpqtdqFx8va5GaJ+2ev8/l0OjW+DfK81WqZ5zJeS729MAwRBIGpnyJjuq6xEgTBTB2WMAyNn3wURQjDcGb8nmezvy9I3TzgxZgu//l0Om1iSrLZ7IwPh/h3ADB5roFvcmdLu1wuw/M8+L6ParVq2tvb2/A8b+kcNq7a0JuKjN+6vrpoXokNknhyHWN+cnKC8XiMVquFwWCAfr9vfH9k/BYd0O12MZlMzD7k970J9SavG4lHTyaT5veay+VQKpVQLBZRq9Wwv7+PN998E6+++ioePHhgxnLxS6pWqwiCAE+fPsUvf/lLfP755/jNb36Dr7/+GmdnZ2as6na7GAwGM+P5usZ0W8zBZfuUWpVy/7Ls/hc5xmXI5y/XkHQ6jWw2i1wuh2KxiHK5jFqthldffRWvvfYavv3tb+Ott97CwcEBSqUSgiCY8b9+9uwZzs7OUK/X8cUXX+Crr77C6ekp6vW68X8TPSz3aDelqW6LdDpt7sMSiQRyuRxSqZSJ+SsWi0gmkyiXy0ilUqjVakgmk9jZ2UEqlTK6TsfziFaSOBbRfbZ17gLaX3+R9vn5uYlh0zYCrTe01mi32+ZeXsd59vt9ozUGg4HRC3INFk0h7duq63ZTJBKJC/9HuTZIPQ1dp0NqcgAw124Z37WWAF7EUkmsWyKRQKlUMnaKTCZj/FaFuN9pPB4i/lzH0NqeLxrzRW6Gq85xPXv2zDpe2Oa4XP438WV3d9daF3ve+cZ9haSv0+ng5OQEp6enODs7M9qv1+tZa1WuGxnPta1E4okKhQLK5TL29vbw+uuv47XXXsPbb7+N7373u3j99ddndIa8t+FwiJOTE5ycnKDVauHZs2fmvbXbbTQaDfP++v2++VzG47HRWlEUmbH+LiL2U7GzSu1MqYdVLBZnrmGFQgFbW1soFovI5/PmdxiPIZO2+OPL46bUor1OdAy9buv8W7odzwEm9qfRaIR6vW7WabVamEwmCMPQaM0wDM1cgIz7MraLfUGWIAjM71XWf1nGfxcy/gMvri/pdNo8lxqt8lzmH+T+JpVKGV0g2xYKBaMTMpmMmVuQeq2SB01qxep6ffGaj/H/irY3ABfz4o7HYzx9+hS//vWv8eWXX+Lp06f48ssv8eTJE3z55Zfm+jxvbuy1116jliCEkDvGvPuO4+NjMw+ol3q9brXHXnZfYVsODw/vlG2GEEIIIetFz51dZle8LE5xXs4jbXNaNE7R5V901+bwCSGEEPJyskh+rSAI0Gq1zBxms9k0Okva/X5/JrfXIjmmZX5iXn6tbDaLSqVidJq0xRdO5hT1PujPQAghd49Fa9ku23eVfcRjMJfBlRd5kdzJq67DvJSEXD+L1iJZJEctsHxdFs266onE49avwjrqRN7FY98mN12j6LrGGF3r8zrW1/WeFmHZuPz7Esfvqgt7WY1ZXUNJX/dsNWT1NctWj1b7tcq+dLzhVdC/W/E10bWGpC6srQaZ/u1o38l17YcQQggh5CbRukzrPa3ntF7TOlDrPH0Pq+8ltQ+OxCdpLac1pNZ9uqbsovfRLrQW07pLtNoytWCvWoNW70v8hZa9hyGEEEIIuU20VnTpxlXaWv+t0l7X/IjWhXoOVudUEXvgVTWitlGKRlxGmxJCCCGE3Bds/nqb0Ha9vgrL5g++zrbrdfoZEkIIIeRlQc9D67bMd+t5bT2XPRgM0O12jZ1Ubyf5b3V+T/GDDILAOtcudRGkRoJsJ+teFZ3TMpVKzdTQkDl8W/1LsVPK+5a2bK/PS3LxxuuMSd5/sf/eBrb4UZufpi0Xrcu/2JYbJJ6nG7iYoxOYtSNrbLnS4jZgmz+ybX+292I7F2p+QgghZHX0XLfGFgvoin3R89waW/yynqO/bL+2WEBbzKPt+K44PFttRNt7tdlRtZa+DWx6Tc/FCy5/Ttv8fLwWC7C6BhR/Vo1Nt12HfrV9HoQQQghZHZsuc2kjW8yMS++55q5v+ni2fL023QrYtaOOJdLomKXbxGZfdGlGl73Npvtc2sumB1160qbpXDkNbDoVsGtFm/3Udr7xGkbA8jkbCCGEELIaLo3m0lKunGiu2G1XjkVXHjJXLQebXdGlA22a0aUvbcezfSYujbtqzPo6sGlFm650aVCbXnXVYbXZOG3az6XpbPZQmyYE7DrTpkld+tWmdV26mBBCCCG3h017uTTqMv3r2Memn9+m2D8Bu05z2ROX6d+UfVznvm26lRBCCCGEEEIIIYQQQgghhBBCCCGEfIMX2TzMCSGEEEIIIYQQQgghhBBCCCGEEHIt2JLE2RLK2fpsSeBsfbYEbrYkd7Y+W8INW9+iCT9chT6WSdB807gSxdkSvS2baHiZxMbLJFJe5pxdieyWSY68TDJmQgghhNw8qyZtu+3tb/JYm5BwbtEkbKsmcbuuJHA3ub1NmxJCCLnIMjYWV2EEG7ZiBjZcRQtsLFqIwFXIwIbLHmXDVeghjqtogw2XPrHhKigRx1W41sZV9U38u7CFG7n6BoPBrReUeFmIF7JYpi+ZTF6wTQKw6ivP85z9tn0nEglkMpmZ/ScSCes+XOdg22+8yEcqlUI+n7fuI76u7Ne27mXYioasG5f9d53cpeIhrnuAlwGbzZ+QTWJRvbQJBEGwkLaaTCYYjUYYDoeX6qbRaLTwPhfVQ4vuczqdotPpLPz5j8fjK39Xi94T2I4Zv/ewvbfpdHpBS06nU0wmkwv9URRd2ifb6b4oipyfq1533mc/TwPbzmuR7QnZFFbRt9etjV1cVc8LVz1v133Poixjw46/R9e90SKsct6ue8BNPi7wzWd9lc9tlc96lW2vyqL/hcFgcOVx/Ta56n/dpkUW4baua8vYDQnZBNLp9IXrvNa80n9Zn0b6ZQxIJpNGa3ueZ9pxrR9/rh9t9xvLosdkbdeUfltfKpVCKpUy24n9Ve9L22R1O5VKmcLHsq/469LOZDIXrlur2BZdPq+LsqodbxXbq+/7yOVyVz62zX93UVxFoRfF5su7KK5C2YQQQshdRPuTSCyU9gfR/h7iT6H9JbSPi/iwXLZPfS9m2+e67tW0zpH5Px27o8d0rS10LJDWWltbW8hmswBm9Z/WFcVi0cyTa99KORet/VxxRIQQQgghd4Vms4koipxaTvxbtBbUWlFryevY11XRuk/sV1q7ab2o47dF82kfwVX3pdelfiSEEELIXUZrO2nb+q667lX3ZcsPtQzafnhZ+7pf1+2biI0hhBBCCFkn83TdVbTgqvtZNNeAjVW1XjqdRiqVQjabNbZF3/cRRRF83zc6Tx7H4zEymYx5LZlMotfrzfSl02lrPGIQBOj3+xfew7z3P28+/7LcE/P092W5MObl1JiXx+GyfBR3KU7zurluv0hXXtbr4GWOj4+zTE6WVVk0981luK5N5BsW/Y1f9r+b9/pl81Lz/M/n+WjPO/d5vuGX+du7fNL1XJ3GlkvCdW6297qqD/1dR8ZeyaUVRRGazSaAb8Z70Qw635ZcJ2Qd0WB6jljmeiXfkqyjr2dXmQ/Wc7jyncpvVb57PRbKOjKHK9+5/m+If6D+7chvS357+rdLm916mTfuLDImLZMLbBk78qK/z2Xyti2Tt26ZHG+Lcl16YpncbWR1ritf7CqxWfNwjeE2ltH/y4zhy6xr01VBEKDdbmM0Gs20x+Ox6RsOh2i1WqbdbrcRBAHG47HpHwwGaDabaDabC123stksqtWq+Qx129a3SLtWqy38fRBCCCGEbBKDwQCNRgONRsPcL13leb1en5s3yKalbM8vW2d7e5u2A0IIIYTMoPXJosvx8bHVTh7XJYsuDx48YC0qQgi5RuJ1qfT8u+05cHE+9LLn9XrdzD90Oh189dVXqNfraLfb6HQ6aDQaaLVaxo9O6tvIPWsikUAqlUI6nYbv+xgOhzPzpzKnL/Okw+Fwxv8wCIJrzQ8vuTLXjc41Ke9fjre1tWVeS6fTM3NVxWLR+LD4vm/mkMR/QF7b2toyPgqJRAK1Ws0cI5/Pz/jJ6Dm5uJ+fjk2P+/uwhvlyxP2J5/kax1/rdDrodrtm6ff75v89mUwwGAzMNjI3KDUxwjA0c4j3vZaC/G8kj2wymTR+01tbW/B9H4VCAYVCAcViEaVSCdvb26hWq9jf30e/38e///u/48mTJ/jrv/5r/MM//AN2dnacPjlHR0f46U9/is8++wzPnz/H06dP8fTpU9TrdXS7XQyHQ+M/MplMZq5l1/VdSJ5buXZUKhWUy2VUKhU8ePAA1WoVpVLJvP9cLodcLodqtYp8Pm8+m3K5vLQfwGX3F3EbqV5OT0+tvjMu2+giy12Zh7b5uNvqOsbHX9t2tnqU8e3Ej1+uDe122+Tnk7FcaslMJhN0u92Z571eD1EUmdws/X5/Jk90v98343QURTOvR1F067WjNwXP85BMJk3OQMlHLdcx0Uie58H3faRSKePvGIYhOp0OwjCE53kolUqoVqsol8t47bXXUKvVzD70uF2pVIymkP+9oMf0uD+tfk1fD18Gf0XxOde+ePIfkuu7/Be1rpYYEhm/gyAwfn/1eh1RFJl1+v0+RqMRwjDEYDAwNUHlf/qyxaK4xvJ0Oo1MJoNCoYCtra2ZMUuu+/v7+9jd3cX29jZqtRq2t7fN/0D7iumx6Ouvv8b//d//4dNPP8XR0RGOjo5wenqKXq9n/m838R1clttfk8lkUC6XUa1Wzeex6Fyhfr6/v2/uHf7yL/8SAPAf//EfK81/np+fo9/vo9/v4/z8fO5nt8x7Xgee583oo0qlgt3dXbz55pv44Q9/iFdeeeWCjhgMBmi1WhgOh2g0Gjg7O0O9Xkez2TQ2Urnf7fV6aLfbM7o8DEPzG5pOp2upp3AXyWQyxg4gtW7lPlbGm2KxiHQ6jXw+b36j5XIZ6XQaOzs7AHDBL39Z3/37hvYnv2pb7itFFw6HQ+NPruMwxuMxwjA02jMMQxPrMRqN0O120el0zLgodUckD950OkUikTD1BV+2sc1GOp2eqX0l2k/uv7a2tsxzz/OQy+WMZpQYFHmeSCRQLBZnnpdKJXPdSyaT5r8m98daB8a1X/x53BZkiwWL+3qvWg9lk1lmXi0+Tj5//twaU2271130HnhnZ2dh25zYlDqdDtrtNprNJjqdDnq9Hnq9HprNprkunJ+f4/z8HK1Wy9yz6ziv8Xh8bWOa3CPJdUSu69lsFrlcDqX/j70323EkOdK2LRbuWzKXqq7qVksqqSW1BAwwamDmQLqAuQKdzj3Nie5BdzGAZk4+NAYDSA1IA7WWrq6qzo1kcmcEyf+g/tfLwmkeEVyTmWkPkEjSGREMkhHu5uZmrzWb9OzZM/roo4/o+fPn9P3vf5+++OIL+qd/+qfU+Qls+9vbW/rtb39L//Ef/0GffPIJ/fu//ztVq1XzvVxdXdFgMKC7uztjB2B855+fj++PDfjrkc+GficIAiqXy2ZMR1u73aYgCKjVahnfW6PRoFKpZMZh+Jgwj0SOJ+8voLevudtuuN/HzsPivqS01+D7QX71cDik8Xhsrm3MhYgo4deM45hGo5Hx36FOInxEk8nE+D7xGOfCfVVRFD1Im3hf60Q2GPulusyoa4a1NMyVa7VaYp0oCAKj/wF7AM993zdjNvpVjCPSvZenbVfbPAU/k6IoSh42ieXrdDr07t27lbFq01i+Z8+emTpIiqIoiqIoRB9sFCnuZ531xNvb29SYkbz5k1nPH0q8kKIoiqIoig3PI7BtqazHaa/n0T/P0gjD+sPJyQmVy2XzGPH5JycnVCwWKY5jajabVC6XTeyCRJY+uPS95GEfWo42Uoz3tmyjUS8h5Ykpu2Gfa1r7yM9aN35O0lB24dJnlljns60TM5CmL73JeyubwTXe0bei7+b9EWIQ8sTl8214zH2WRvU68Dg4XM954lowPvLrD/eOHfuSFuf61DXH8yCNuS7dZKkGSJoWcZr+cdY4mqZFnWZfpI33aTVM0q7vPHZJXlsqr362lLemrMc6Osj7gvdPj5X7sIn3MVd4qmTVLkmz8bJs4DSN8232zbqvNt3XVeNFyv2GfTGdTk2fPp1OqVwuJ9owLhSLRRMfjf/VanXndd22HTu2qb27qxq+vG2duZCiKIqiKMq+2ZXNtutjbeKv42TZbPzxtq+vs+0xzOkVRVEURVE2YR0b0H7M15D4Y6x98bVdvnbM/YJYQ+NrdLwG6rb+de7b5XYc98tiTZf7Y7l9h7VevkbM14R5vAh8hNyXzX253Ie9r3qeiqIoiqIo9w23Dbntx2077ifk8VE8jorHWyEui8d8cHuT25M8NozHlPEYdW6fbgO377iNCRuSKLmODBuQ26nc9sTrLttUep3bo4hFzBNDqyiKoiiK8tjY1Nd5qP3Scg3yUCwWjd0HzdflcmlqM6C9UCjQfD5PtBcKBYrjmMIwNHYqtiOiRDt0woMgMHr5XDcf9ij0yGHrhmFIy+VSzAu1a9cQkalhx4GWOQe1tjiLxWKl7RBAr5MDTV6Onfvm+/5KzmEQBFQsFhNa7NAS5fDfBkC33D43+zwKhUIiX8TzvJUYa6kNv7F9Hjw+Fr/LoX3c6+QeH5pdzTP3AV93OTaO+dyUfGyaj3/MqPb5Kk9BE/qQ/rRN8k6k+i2u+gfYlte1RU1BDrfNeJu0nZTfyvdHvSHUZuDkbcMxbRvRfn+8j2RL3meNG9QD5TYZ9OE53E6390c9GgC7P2t/tOF34Pvb9650TGzHc9SKxaIYEysdE/tm7V+tVp35c9v2Mxp/oSiKoihJXDoiUvs62+7iGMf+fvc5z920HpCrbR/HvM9zVJtPURRFUY6LQ9ppj+G97ns9ZVtbbJ1tH8N7pWmBKYqiKIpyWFzxYi79SilO06VV7dJZlmw3l4a1y/6TNKZdWteu+ClJi5rnUeU5xrYaT7vCpbMu2V08l5/j0l2VtGel95P2l3ReJc1Z1zlJ9RokP6YUJyJ99qcQn6MoiqIoiqIoiqIoiqIoiqIoiqIoiqIoyge85WNTbFEURVEURVEURVEURVEURVEURVEURVEOilQoRxJqkNokMQZJXEFqkwQUpDZJJEFq4wVqOZKIhNQmCUXcl/BXXgEsSRghr1iC1CYV25BEFYhkoQaXsIJLMEISUpAEG4jcYgoovKsoiqIoynEh2WaSTSjZopKwlySEZdtqLntwMBhQFEWJNpcwmWQnSmJlLlEyyX6UPo9LkOyQSLaYZHP6vk+tVmtl/0ajsVKoVLL7XDaiJKDlEgmThLoke9RVPE6yGSuVykpRLJctukmhOEVRlEPgEqcErvEKZBV2zioS7BLSBC7BTyCN0RxJTJMjCXZy0grAu0Q5wX1/t48Vafx2IY3/YLlcGpurUChQrVYTC7IuFouEbVapVMj3fVHolbehgHyeYqye562Ih7qKrvq+n7BJpKKpKK5q2x5RFIlFV+22yWRyL/7MtMKmWduGYegsbCoVUOU2HPaz7bo8bbBdJZ+r1Mb3rVarVK/XcxcxSLueFUVRniJZdl6aHZdlp2XZYVk2bJaNmmaDunxTIK8/KOv7AVmfdV/HhC3W7/dzH9P2/z0lwjBM2IC2rWY/D4JAtOe4DSzti/eQtrnPNHSpYCjOlX8vnueJa752G+xv+z6U9pXeW/Lx8WNy+1o6vzznaLdFUWTOd5t1bfs6ynv/K4qiKIqyHZ7nrfh7bPvK8zynDefax7Wt53kUhmEuuy5vmzSHSfOt7wvJl2rbWLYP1d7PttE40r52m+d5VCgUVmyrvLYozgV2JY7Pv/flcmnmSraPGm04Ft8P2/J9+OM4jhPvgfPGNtgXr+PxLn5rbg/z3xDfEf+e+bZ2m70tztX3/cRvbM8Z4jgWj5dnXuCCf0ebHGM+n5vfgz/Ocwx+jWyCdF3l2Qfvvc01cd9zzKeKaz6al23iXdZ5b6kfDoJg43OXxo28SOeStm3e93GdUxiGYgFFO64qjXW33cfnwxhXLpdzFUBcp1h3njXi+8gJcMWq7Rsp7m7fuOLi7vNYrrXVddlFbJ8rRnJddvWZAI9t4XEmWKvg6w48RgfrLNznjxjcbY+5Cfz75d8RirXynCWeN4R1dn6v4v7hx+Rxq/z4/Fg8XoXfgxobqiiKoijKY4LHxEiPt31902NlxZPnAXYet/ekx1mv7/pYmt+uKIqiKMpDBDHFPDdOauO58fAf8jhu7l+E/5HHUnP/JLcJkYfPfZFZ8d1ZuPyFPI8d/kaeh859iPBXch/4Lo+lKIqiKIry0IANCLuP23qwFbl9CJuQt3GbEmvO0jo1t0OzjrMunueZ9eZCoWDWjSuVCi2XSwqCwNhxiLOBzkAURRQEgVlf9n2f4jimMAzNOjPykHis0GKxoNlslmjzPM98Rr5GLeUyunQssrQ19s26+qBEbg1TkLZmnxaD4dKyAmmaFi5tKgB7XkLSqlrnvNY9F5t141Ikba801OetPHXy5mFz8moH5c0Hz8qh5+SN58o7fmTl16et+Uk6kiArtz7tc0i6kyDNPkj7vtf5jveNNOa44lqlMdM1jvD+n+skYQxBW6lUMjGDtiYS8qI9z6MoihL6RrhOZrOZsXvwF0UReZ5H0+mUZrMZDQaDte2XtLXbPK9tu8264+emSH2OdF1L17NLN02636V7V7pn0+6NtH4k7bU0Tf9Dv/YYWOfaTLNpOevar3nZV4y+q76BsluybIJN2WZun0aaHSKxTl9x3/PwQ5A1z02bt2etg2XNYdPyalzvK+n4uc7D1Re5PrOrn5X6VFf/6fKDaP+lKIqiKPuBx613Oh3zZ7fleZ7mo+K+g3a7Te12O/O5a5u88zVFURRFUZ42nU6Hbm5u6Pb21vzZz6U22+/l+z6dnp7S6ekptdvtxP+sx3nriCiKouwbO9dEyj3J07bpflivRVscxzQYDMyaB9bfJ5OJWUPH2vpsNqPpdJp4jm348aU1Yh4rIdUzemgg5hIxCdBrw3NonmHOHASBqStF9H5Mq9frCf3PZrOZWGdot9uJ52dnZ8bvXyqVqN1um+PxODnbh8/n7mmvHpX4hwAAIABJREFU3Zdu2VOFxzBLcci4d3mcEtYFETeB+3mxWNDl5SUREd3e3tJ8PqfhcEjj8djE7y4WCxqNRhTHsYmHmc/nW8UyP9Z4BuhUBkFAQRBQoVCgQqFA5XLZ+NWazSbVajVqtVrGV3Z2dkbtdpuazSY9e/aMTk9PqdlsUr1ep1KplKoFN5/P6fb2li4vL+kf//gH/elPf6I3b97Qd999R69fv6abmxv6xz/+Qd1ul3zfp0KhYPIibd3gXYIY9CAIqFgsmjikdrtNH330Eb18+dLY3a1Wi6rVKlWrVTo5OaFarUbVapUajYb5vjbVsYuiiO7u7qjX61G326V+v093d3eJv263u/K82+2afVz1HOv1Op2cnFCr1aJms0mNRoNarZZ5XiqVqF6vU7PZpFarRbVajTzPo0ajYdaHpZhLO45Kio2S9uN5B4h3Q/wT2mezmRnHoyii5XJp7m/oAi+XSxO7j/OIooim02li3ObjOtH7a2ibnNiHgKv2zS7geRroO9Cn8LqGhUIhcT/YY3CpVDLr9MViMWEzlMtls7aPvoW/53A4pNevX9O7d+/o22+/pb///e/0j3/8w/T35+fn9Nlnn9FPfvIT+slPfkI//vGP6Ze//CWdnZ2Z999VPcI3b97Qf/3Xf9Hvf/97+vLLL+n//b//R7PZjF68eEFffPEFffHFF/TrX/+afvWrX+1U53JfYPx1jeEYpyWdTEkHM4oiurm5MTWyptOp6e9gC6BtPB6bsXy5XJrcp3XZ5/V/TCB2GGNmGIZULpdNjVCMZ7VazYzhjUaDTk9PzZhwcXFhntdqNSqVSrniEq+urujbb7+lP/3pT/SXv/yFXr9+TZeXl3R5eUl3d3fU7/dpNBrRZDIxccyoM3uf+ui+75uaqahhivHv/PycTk5O6OzsjF6+fEnPnj2j58+fU6vVMrVOMd7vS//0N7/5DRER/e53v9vpcbvdrrGbe70eDQYDGo/HdHNzQ+/evTM+ynfv3lGn06F+v2/+EDso1fU9BLyuQhiGiXq5jUaDarUanZyc0MXFBX3yySf04sUL+uyzz+hnP/sZvXz5MjUvDv0c5iTX19fU6XTM9wE7i9tcw+GQBoMBDQYDmkwmxqeA7wd2ymPtf+y8tU0+Z6VSMbVjwjA0tY55/N7p6Sn5vk+NRoPK5TIFQUAXFxdmf8QQYiznPgDM/yUdZP4e69TkPjbiOKb//d//NbbHl19+SV999RUFQUA//elPE7bH559/nivOgcfn2rG9PB53NptRr9ej169fmzndN998Q9988w29efOGFosF+b5P7Xabzs/P6ezsjE5OTqjdblO5XDb1ykejUeLeGY1GJv6Z++qQI819dNDmhq1AREYDZx9xw4f0CxzyveyaDKgBBNse1w3yujH2oQ/mvjzMJ3kfYdcJbzabK7G4Uqyy3barbXjbfD6nXq9n6rJ2Oh0zp7bn2NJzV+4O5t34a7VadHJyQs1mk5rNJrXbbWNL4K/RaBgfS7PZ3Khfgl3e7XZpNBrRcDhM2GN4rdfrUafToe+++47evHljxnzY7bgf9zGO2bWSMJ6Xy2UqFArU6XRoNBrR559/Tv/2b/9G3/ve9+hHP/oRffbZZ/Ty5cvc2k/wScAO7Xa75v/19bX5XjqdjvG7wBa4u7szNgFyMuBfRH/0VIFugzR+FwoFqtVqpu+HhhjGYYzBGH/h38c4jO14fD/2wZiv+l/7x85/5P4++zXbLnC9hhhPgPsR+/Gxv9/vG80SrAdgbIefAHW6JpOJOTf4D/F8uVwm6g3vi0ON13ifXdjgm1IulxN15tB/E33wSeA+JSKz1oAxH+sP1WrV2A7wK/K5GvoCfmzJPyHlZLvyg6S5u6SrIq0ZumreaAyxoih5mM1mdHt7m/Ax4bHUxh/bYxhsrNPTUzo7OzPxgfiz287Ozsw8XFEURVEUJQ9pOZvr5HleXV05NcaIaK28zrQ8z4uLi4NoSimKoiiKsoqk+eXSPXTpibm0UPd57Cyt2TQts33tu1gszL72HxGZ9ZKnRJaGWhq79t3vQ9cxS9tdWZ+8OtKbsG3dLRfraDiuq8v4GEjrB9K0ENPyA9PqBqTFIbjWComy+wipNoCrD5DyGCQdRenzu85fev/7jJNMq5fs+r/LbTbRIS2VSuZaRGwM4lsQN1csFhM5qliDxnp6sVg09U2KxaKJx5vP5ybePwxD6vf75jH+JpPJin3h6hMkW0Tqw3hOCEfql45J8x2kxe2naTynXftpNVk27Y/yaJWm9S+cvLFSeW2MvHVU8m63bW72LnIxNJ5MuU/S6nzsYvt1tb/XtV/X3X6f8+o03cht9k37jK5xMc+++9JlXwdpDHONL9JYiP4TsZvI0cYYhjjNOI6N5gDiN3EdF4tFsyY0nU6pUCgkXo+iiHzfN7oOqJGCGPXRaES+75saKEQk1nbLCx+DMcbwMQ32Av+esnKSpOOgjW8H+xvHyzvWK4qiKIqiHBru8+G2NvRBuJ3Ma+9yGxi+Nn4s7rfi9ZFgr/NjcVsbOUuuum3rwO1e2GfcZ8L9OchX435ebvNxexvrT9wHwW1B7peCTek6lqIoiqIoykMmbY3W9fo62256rHV97xJp9ZBdjw+xbVo9SEVRFEVRlMcA91FyG4/7I7m9x32PXA+Jxwfy2AX4J11+T35sbMv1k7atBc99lvAd8nirrNfhe+R+TO6bhL3I16e5PYm1be7bzKpJrihKNoeO799XTsMmPNbchqw4sm3YJhYKdXg2YTweG13ftJx/Cbt2xzpAM3AT4jjeOCYPNcY2AXrIm8J1F9cFNRc2Ab/xJuT9jbkOMdjmN5bqueUljuOj6QsVGWgJE5Gol0mUrBMi6WlK98NyuTQ6t0Rk4liz9s3TBs10fp1Lx3e12X20tN191G9AfAPRB51S+3Omtdn5HdAPBVyTnG9j/6Z5j7/udnyOZu9brVZX9guCYKOc4+l0ulOdV9RgsLHrWt4HPG9qMpk8eL3tbeoRHhPj8Xija5DXFH1I3Pd9cGwgNu+hUSqV1u5zoTd+CFDnMAvU590U1Cc6BNBsl5DG001B7Tn7+FJ/47LrpPGFb4f3gK3Ij51mK/L9JXssDXt/5fBAc56TNpcgIhOba/c3kk0q6c+47M/T09Nc57yOBs06266Th7bOtuvkX6+z7Tq6ObveNktXKE1vQFEURXkYuPKLpPV7Kd9f0iWw6ygRUaK+ctZ7S1oGko4RcrM4UozrPs7xEEj2gsvmkXSvJH0ZaeyW8rAkHR9JF+c+z1HjMRRFURTluFnHzuRxphzJBpRsO1cskmQbSjYfUTJGFrhityR7dR1dScmOlezTQyPZYS5tRMlnJNlnLttQ0uZy+aokm9GlOylpzEq2pKR3KZ2TlGemNTQVRVEU5eHgshNddp4rp0my/1z22zq1YFx2sEt3VbKPpfeT8iHy+khd53QIJBtNsvskXW7JllzHdynZkZLdJ9mHef2Zu/58iqIoiqIoiqIoiqIoiqIoiqIoiqIoivKQ8Ja7VBZSFEVRFEVRFEVRFEVRFEVRFEVRFEV5ZEhJ4o+5bZ1tpWT9QyAJKmmbnDivKIqiKMrxIokMSTaXJL5kCx5Jgk6SwKck8CSJKknCnLbtJwmbSiJJksCSJM4kCY/uG0mgKK+gp6tYjiSEJIkZuQSXpHOShI+IZHEmSbzTJV4qCdNLAk0qsqQoyr5x+RdcAoTS2ELkFrcmkkULieQxj8gtOugSOkwrnCIJFRK5xRFdgowuQW0i93d4nwVddoFrDAMuIWyQVTRFGvc4WcXfpHGfkyWWLY3FIKvgH7dFZrPZyr0ym83EYqrT6XRl2ziOVz7HZDJZuT5R2Jp/J5PJRCyUNJ1OV4pDS0Kck8mEfN83738o/+ch2LXvbx/HvK+2rHtPURTlPnEJQKfZVevas67xyWVrptmBLjs37X2yzg+47FiipC9K8ufEcUyDwYCWy6V4jNlsRpPJxLnOOB6PU8/tmAmCIGEv2Z9RKhTPv6dCoeC0EZfLZa5iLJ7nOX87+z35+bmKpS8WC5rP5+R5nvM349sp64HfO6uAOZ6jDTa0VMDc931xX7twun0tep630kb03j9pr0NLc6UgCBLvC7+mfUzf98X3ds2/9mU/Sv7Vbcmap27KPooxZc25N+XYCqnv6zfZFw8t7kNak1CeHv1+f2MbYDQaiT7SPEynU+p0OhvZjVEUJXywkn/N9Z55isak2bp83yy/1XK5pH6/n6t44nw+p/F4LPq77e3m8zlFUZSwGW3bMI5jc6z5fE6LxWJlG2xn72fbova8ANvz47n82/Y+eWIVl8vlvcQ0Kg8H15xrnxzymsz6fHh93XOSjps191TuD2lut8kxtr1fdnUMsMm95Pu+mU/luWZxzphH8/eW3p8f3wXfV5qzZ53/OmNbmt9JOuesa2U+n5v3tr+TPOT1UfFzk97bRZpPJMsuSjundfa17aE0YFfx93IB+ysPy+VS/XKMdfqePPewa1vbPrbfc52+WNrW9RnW+a0l3+Em287n85W52zp9mb3taDRSm/2BgGue/4bS47TXwzA0/kI+luCas7fHNvaxa7VaaoxOHjzPWymemge7/y4UCqnxSHmpVqtbfyYi2kl8764+U6VS2egz1ev1teyMSqWSyw9dq9XI8zwqlUpr+V2DIFjbf77utVWv13dit0ukxaQ9Zp7q51YU5eHA438QQ85j3xHHw9chEOfO45Z4nDmP/UH8Ej8mjx1CzpbrWJuC/pfnHfE1z2azSUEQJOKe+RouX2/cx7EURVEURVEeOtymw+NjaNsEnl8kPd73665ts/IDFUVRFEVRHgqb2HWj0Yg6nQ6Nx2OaTqd0d3dnfIbj8ZgGg4HRHIjj2DzmugGz2Yym06mJx8bfJsD/R/QhToP7+fAceW5E79eBefyO53kURdHeY2kk3Sk798fOt5DyW6QcHFe+T15NLJdOhZT/4dKUgj+W48rPkfKzVEtAURRFeYpIOmYuPTRJ54GvKSOHbTqdUq/Xo9lsZuwt2F/dbtccAzbYcDikyWRinsdxbPaBjYT/OCZyzXC+2GeTOE8pLhDth4p3DsPQ2CyIw4e9g+flcpmCIDCx7GEYUrFYNGvuPB8f33GpVCLP84zOFjQjoMeFte7pdJrQjSB6n0O4WCwS9i1sbP5dxXEsat65tEYOgWQDBkEgxsu51unTbMO011z5y4vFggqFgjO3uVqtiq9FUZS5X5qv2BXvlyduMggCUUtWolAo5I53LJfLVCwWnVqG63CoOAuXru4+OJTmgUuXWHnYjMdj6nQ6xpdiP057TXp8c3OTeZ+WSiWqVCpUKpXo5OQk8bhcLlO5XDbtxWKRSqUStVotKpVK5nG5XKZSqUTNZtP0JWm5SWnarfge0tYH03TE0/SyiNx6ssClEUuUrgPmes2lD+A6D1ffeh/a6RJ2Hyf5ePJsY6+VSn4p208k9eW230qyIeyxRvJr2X4mW38lS59VURRFedxg7arf71O326XBYECDwYCGwyF1Oh3zfDAYUK/Xo36/b57f3d1Rr9ej4XBojuGiVCpRvV6nVqtFzWaTarUa1et1ajab1Gq1zPNGo0EnJydUr9dNW7vdpnq9btp03FIURVEUZRt6vR7d3NzQzc0N3d7emj/7ud1m+4MKhQKdnp7S6ekpnZ2dmcf8ebvdTrSfnp6q31NRjgxX7QKphoDL7ynVMpDqcrn8rNI6993dHU2nU+PPXSwWdHd3l9A6RcwhX4cejUYJvVOi935hrkc2n8/NWiv2wzorX89O037dB3xNnMct4vm+z6VcLq/4WrmeT6VSSejLYX2c6P26VrVaTfiO6/V6wg9br9eN7xa/LbR/b29vqd/vm8d8bfz09JSePXtGz58/px/84Af04sULevHiBX366af0/PnzxDnbfmfbV61a1w+bdfPV8uwzHA5NHDP8OsPhMLEN9kG8DdZ5ptPpxms79hr6prE0D1lrDbEuhULB/GEds1KpJHxnJycnVK1W6eTkxKxrfvzxx1SpVOji4sKsbcJ/lrWe3+/3zW/+7t076na79Oc//5n+/ve/07fffkuXl5d0e3tLd3d3Jhaex0KhT97H949+F/X2giAw30etVqPz83Nqt9v0ySef0MXFBdVqNbPOG4Yhlctlqlar5ntwxQvZ165LH6TT6dBisaDpdGruC/hD8b0g/r/f75vYNMSVYZyWNMX5Z4a+Iz47dFLxOv4w5uM5zu2Q5ImBecj3pk0QBImxFPFwvKYNX5v1fT+xLmzHviA+DOM1nvP3wL0M4D8H9tqzvc7Mx397LZvbAvcdlxNFEX3zzTf0xz/+kb766qvE/8lkQmEY0qeffko///nP6Re/+AW9evWKfv7zn9Mvf/nLe62NMhwO6X/+53/oyy+/pP/6r/+i//zP/6TLy0sKw5B+8pOf0K9//Wv613/9V/r888/pZz/7WWJegHkDH2Mx75A0kXh8CI6zXC7p8vLStEF7FNpI6JOWyyWNRiPTd2+Twy7d94/pPt8U5GmhX0B/gJiNk5MTKpVKdHZ2ZsZ1PG6329Rut83zRqNh4pLWsdmRq/b27Vszhv/lL3+h169f0+3tbWKuMZ1OTe4a6p+tU5tiW6Cbij6r0WjQxcUFnZ2dUbPZpEqlQu12m6rVKlUqFWq1WmYO1Wg0qNFoULVapVqtRq1WiyqVCg2HQ7q+vqabmxu6vr6m6+trury8XGm7urqi6+vrlXXMIAjo7OyMzs/P6fz8nM7OzujZs2fmMXx89uNN40F/85vfEBHR7373u7X3RZwc/vAZ4bvknx/fge2/KJfLdH5+ThcXF/T8+XPzuc/Pz+nZs2d0cXFhnuM36Xa7NBqNaDweU7fbNXOFu7s76vf7Zp251+vReDymfr+fsCXv7u6MHXmIWon4bWBPYRzn9nW9XqcXL16Yz/2jH/2IPvnkE2q1WvTJJ5+YazGLwWBg8hHQR79584aGwyHd3NxQr9cza+u9Xs+srcPf0+/3Te4C5lbo+586uxx3PM+jSqVidHNhx0GjF/MH3/fp5OTE9OmIx4Pdxu0vzDV43D/6bh6Dx+PzcDwp9u/NmzfGrvj9739PX375JU0mE2o2m/Qv//Iv9Ktf/Yq++OIL+vWvf72XWoB5iaKI/vznP9NXX31FX3/9tbHd/vCHP9B0Ol2x3fD/888/37ntxuu7EiX9IGmvESX9uLavF/YU5sF4DfnhmNNFUUT9ft88j+OYhsOhuX/t2laYt6EfXC6XZs4IDtlPHmLczxorD21LlkqlRM4R7n/u+y0Wi1QoFMx8fD6fU6lUMj502E6+75u5OXz1yCNDzpirLw/D0Gh4l8tl4z9Gf1Eul01MVaVSMX+wm2q1WiI3R8qLl2oz2nlKs9nMzBWm0ykNh0Mzto9GI+r3+/T27Vv6y1/+Qu/evaOrqytT2w0+QttHtEu4xgEfz4vFIlUqFapWq9Rqtej09JQ++ugj+tGPfkQvXrygzz77jM7Pz6nRaJh59Dq+cMS393o9iuPY5BwOh0MTQ4e4utvbWxqPx8ZHhO8PY3wcx6Yf4H6hxzrOc98Vn2Nscm3w3DTkchSLRTOW4L7AmgzukTxaaZvoq6mmw3Fjr8Xa47491ts+YHuN2M6LieOYut0u3d7e0uXlJd3c3NDl5SV1u13q9XrGtgfw8SP3CP0xbEecM6+TNB6PE/Nz5M/y9dt91647Br9Pmu1wnz6oUqmUWHfFmg7vFzD/RD/Fay7BL8u1fvh6Mv7DDkAb/E2SVo00J5B0HiWbQMppcuURSZo4Up94yHxWRXnodLtd6nQ6dHNzY/y20p8dv2jPFX3fF2MVXfGLaNN4RUVRFEVRtgHrhMgnRb4p2rrdrsk3HQ6HZt6M7fl6WVqcU6PRMOt5zWaTms2meY58U77mh3xTtJ2cnJhj7KJWpKIoivL4sNeTiVZ9zZKmk53vI+ks2flHUlyynXdkv7eUb5Tnve24aFdMtJS3dF9Imnwu/UWXXrdre5C2XrjNvlmxt9vsm7Y2NZ1OaTAY0Gw2oyAIaDwem1j1fr9v4rQQ48Bj3BE72Ov1TKxSt9vdWLPt9PTUrHe3223jk0ZcJH9uP5b8z4qSlzTdvF1xiL4yr7bpfD4Xc14lqtXqWrHiPPYpC+SdbXq8wWCQWDO1X3MdG2urkhatlLcL0vQX0+oKu3KMidx6ktJ7ZWlP7ht73ES8E8Y9nmPcaDTI9/2EHWHn1xK9X1PkYxt+F6yBYk2X/8bQiObPOXzdHMew7wuuP01ERucbxHFsfk98LkkLc9fw72eT9WzEQ+Excuf4H2LZiD7kNBUKBapWq+Y5/pBTVygUzHaIp+FxOGEY0sXFBVUqlcRvtU4dFpetkqa3LMW4KYqiKMpDwKULI9nzLo1waX7h0u+W8t7X0cFx2brIkeBIdqz0ee1zsu3wNBt6l/A4vuVymcj5xmcrFArGJlwsFmZ7PLe1dhDXvWlsN+wsaNjDZua+FKL39hNsKNS7QLwg1rTyxjRLbVojWlEURVGUh0KWLhp/vMtt8xxLspnXYV0bbp9tug6nKIqiKMpjArF2fA2e23GIIeExgdz/yv2Z8HVyPyj3b3K/L/yvdt1r+F+3jSvhcWt8fZ/rx2L9lecZc7uP+wWRc8zzh3l+MWxEvgbM84IR63bfepSKoiiKoii7iBFe11bjcfawB5E3SUQJ3XlejwF2Jl6324bDodEdRNwj3x+P0c7boEO0KTxmkMcU8jhC/jr/4214jLhAtOF4/HFW22KxyBU3nUZa/O8hj7GLOAlX3Mg6SLlR+8QVF7MPoO14iHgURVEURVEU5eGTp1YI1yK32/h/6VhSjp20LwdzIhv46m3Nbfv4dlsYhon3kLbh9Tgkms1m4n0fYuyxS2vgoZGWg6cox8IxaZJsQ1oe+kNiFz6tLPb5m7tys3aFrUWvKC6k8dfWSXDZg3m342Bbyd6zkWp5uPZD7IvrePz5U6l9Bp0FF5KOAqdQKFCtVhPtbKLV2q82Lk0GTpYNmBX/nVWTOquOSp7vwK5ZwMnS6Mr6DtJs+fusv6YoivJQkGzebdr2ccz7PEdJc+FQSGPsfbUd2/lIdZIURVEURTlu9mE7HsO2+3qvQ+giS+zSbjsm+3HTc8vymymKoiiK8vA4Jj/lsflX7zOe51jsxPt+b6ktrSaRoiiKoiiKoiiKoiiKoiiKoiiKoiiKcji85TZVpxRFURRFURRFURRFURRFURRFURRFeVCg4DmQhNylYoNSm1RQkBdST2uTCvtJbZJQu9TmKkxof15XW7fbXRG6PgSS+GDeZF1JuFhq44XY09okoWVJYFpqk0SYpTapALwk0JxHuFpRFEVRlIfDvgVmHtrx70MY/FiFF+9D+CarQImiKEoeJJ/IQ/CTSOeYtj2Re9waDoc0m81W2l1FA6XPcwy4CkO4ClKl+SxcRbRcY4+rKFVasStXIa80oeFGo5FagLfVaomFx7LekyjbhyP5gjhZxc0kdmW/7dM2PPSxD8UxCRke2/mo2LeiKIdAsrPythG5xxBpDZAo3X6T1tqI3EUoXAWy7XNdLBamiCy3mZfLJc3nc1oul4lzWi6XxlYdDAYJuxVFbieTiShKPJvNRHv2PvE8zzmeFAoFsXBvEATk+775juzjwT61C/niddh5LuFmz/MeTWHfarWaWvQW3y3fTvrO+fHw/S0Wi8R2i8XCfN/lcpk8z0u0Af67FItF8jyP5vN54vu2f7swDGk+n6/ca/Z+vu9THMcr292HLVkoFBIi1MVicWUeViwWV4Sqi8WimUthTlMqlVbmV/bxsF8QBOaeKpVKK+/pams0GuZcSqWSuE4vrfGfnp4m7mHJbswqzqwoiqIcN2lrfC47HKTFpk0mExqPx859XfY3kdvWJpJ9xxyXj5co25+bVvxD8oFzsorXuT4v/+7tOQOwv+MoilJ/l8cG/Lx54iAPGSsp+Z9tm4jPT1zb5GmDDb/usWCv57XV+Hb2Pvflv1Xul13Y+U9V/snzvNR1qkNtg+8/6zhhGJLv++I23I/g+37mdSEdx/Yx5D2O3RfaNkue4/DPLvkxsE3e83EdI+9xcB7b+qXWKZq7XC5pOp3mvh8ln1zW9uvEjO37+E+Rdfrrdfv2TbY/1H2gKETrX6NP1TZRFEVRlIdGvV7PnA9zNrVzPc9LjQXl2+d9j7RY2U1xxf5ugyvWdxtcscvbsI/i0Fnxx5uQFbO8Ce12e6VtPp8bX+14PDYxFbwNcUpoG41GtFwuKY5jc46DwYCWy2UizgjrE2hbLpcmPh9ti8XCxGNNp9ONC6pXKhUTh4B46yAIqFarURAEVC6XTQxFvV6nIAjI8zyzbbFYNHELtVqNCoUClctlarVa5HkehWFo7plyuWyuy0ajYXxXzWaTCoUCtdttcy9ozKyiKIqiKI8RxLPwuJddtPF8znXbNgFzAz7n2qYNtt8mba58MEVRFEVRlMfAYDCgfr9Pk8mErq+vTbzy9fU1jcdjmk6n1Ov1KI5jms1mNB6PqdfrGV9hv9+n6XRKs9nMxKHjtdFoZGzEKIqMfxPHQhwJb7/vNf5CoWB8hp7nUbVaNXFklUqFisWi8bs2Gg0qFArGB1mr1RKaqLZfXlpPsPOzbJ+lbYtKmha2b9nWCrE1QiTtVkVRFEVRHh9ckwOPXf/3sc2mvkHYP1hDRn58sVhM5Nr7vm/y8n3fpyAITI7/ZDIxmgCLxYJ836dCoUCe59FkMqEwDKlQKNB4PKYgCCgMQ+MXDYJgJZfRzjG08xWXyyXd3t4mPoedg9nv9/caH+95HhWLxUQuiP0cNiLOg+t3LJfLRD4f8kFgq9q/5aZ+33Wx1/NtjQ389kQfNEniOE7ok2A7rqfBfwse+4F4IcyLXHl3dlyR53l7/40V5aGRpZWcR7MxKz4rK3YtT1yfS28TZK0RZWmkJGi4AAAgAElEQVRTEmXHrpVKJSoWizSdTmk4HBo/y2g0oslkQrPZjDzPM7n0k8nEbDedTmkwGBhfC3w8aE8D8Vb1et3EYTWbTapUKlSr1ajValGlUqFqtUonJydULpfN40qlQpVKhdrttnl8cnKiGtmPBEkfwaXX4NJ7c+nDSboOtu6FpHVh21aSpoV93vY5SDrFebZJ08DYNfY9JPUxdoyt1NfZPkapz82zjd1/8X7X1u7l5572Wp5+c1vSNKklsrRMbLI0SGxc94mLLM2WbTm0nnYcxzuP4d4V+4hZ3xX7iNEHeWJg8tZYyzP27yPX4j4Zj8fU6XTMvdrpdBJ/Urvddnt7mzq2lMtlY2fh8SbPT09P93YdKYqiKIrydJFsIPvv7du39ObNG/P8+vpazEnktsvLly/pxYsX5rnr76OPPtp5TqeirIuk4+rSb5V8bZLvzOWfkPxpLt/E3d3diq4T90twDfher2f8bTg+fMtEZPKTiSjxXmibTCYm1g/HWSwW5juwfXn3vYYm6ZrytcNDgnVtfg7FYtH4T7CuWS6XzfoF/tfrdbNOiVoOyKsOgsCsfSNmETUCKpUKlUol8jwvkcdtr8XasYy2f8L2KdhxiLY2gu0T2HdN99lsRq9fv6avv/565e///u//jE+sUCjQ9773PXr16lXi78WLF/Ty5Ut69erV3s5ReQ/3gfI+ketK8/6Px5/wvg79MfcJ82Pj9SiKTH/c7/eNfgL63el0mtBo2KZfkNYdeT+5CbbmyX3HWe8D9GlhGJqYnnK5TMVikarVKlUqFarX69RoNMz6Zq1WM+uW1WqVqtUqnZ2dURAEZv1zNpuZGh08njutTuV3331HnU6HBoMBdbtdurq6otvbW+r1enRzc0Oj0YhGoxENBgNTNyiOYxOLwsfGffxWLv1raK/y8S2KIqPngfuJ7z+dTlUT0oFtO+B7s22JtNo/uwT3Bc6D5zugfg23L7h2CxGZtX4O7htQqVQS4zbma/x5Ws3uTWp628+z4jeU/ERRRH/+85/pq6++oj/+8Y/01Vdf0ddff01/+MMfaDqdUhiG9Omnn9LPf/5z+sUvfmH+f/755yvXihQbuqvHUttisTB9LOYY6K8QJ7NYLMz28/l8Yx0kwGMBcW8Tpdf3ynNMzmMcvwH0oZCXj/pahUKBarUalUolE4PUarUS43itVqPT01Oq1Wp0fn5OYRhSs9k0uVhYi8zbP9jX1mg0om+++YZ6vR5dX1/Td999Z/6ur6+p2+3SaDSi8XhM4/HY5L1J4/o+4PM73p83m01qNBp0cnJCP/jBD+jZs2dUq9USa4F47Go7llpi0+mUrq+v6ebmhq6urujq6oqur69N2/X1NV1eXtL19TXd3t7Szc2NGC9xdnZGZ2dndHp6Kj4+Ozuj8/PzRHu1WqXf/OY3RET029/+lm5ubsx74A/PcT78zz4Pz/MS73l+fk7n5+d0cXFBz549M8/Pz8/p2bNndHFxsXP9wE2AzwpzoV6vZ+6Tu7s7mk6n1O/3TX97dXVFNzc35l7p9/smJnE2m5m6j3bdgV1j27mYK8C2b7Va1Gg0qN1u09nZGX388cd0cnJCH330EbVaLXMt8PsirS+BPgq+h7u7O4rjmLrdLkVRRN1ul7rdLvX7fer1ejQYDOju7o6Gw6H5jobDoelPMFewv7P79pHtA6mv2fTa4HMa1DDFdYA+edvvkY/10D1E3wv7l9vKvK+F7brrx7wtTyxTFEX0zTffGDuP/0euzKeffkqvXr1K2Hv//M//rDnFKUg5QnYMoh3HavvkbX++HXuK/nexWCRixVFLZLFYJHRBl8tl4jnRe5/Gcrk074Pj4TxgI+Oegd8Cn0mqAbtrsmyQQ9vG0pz+mMD4RpTUS67Vait5S8it422+7xv/P8ab6XRKvu/TYDCgy8tLmk6nZh0C18sh/ViS3ctt/vPzc5PHcHFxQe12m54/f25sq3K5TK9evaJ6vb6RljLW1XAPwt/c6XQojmP67rvvaDgcUrfbpV6vR+PxmG5uboxfeTab0d3dXWK+EcexmatirD/Wa8yFXQ9q02PY16ld/3pTKpWKuWZwP2COCNuciBLaHsg/4utViIXna1Y87pXbiJhH8fUsHveeJwdK2T+dTofevHlDb9++XVkP/Oqrr8xcrlQq0ccff7yyHvjq1Sv66U9/mnu+Zo/v9vqCPd7bsQD2cztPwI4zsPMOMB/BWB/H8Uq8Ap5z7R6sd2G7KIpoMpmsrOPb+j7j8fjg/ZmrXl7a80PC+zm+ZiCtERxy3SANWzMJIP8e7TxeATpK/PeAnw/reADjuD3HrtVq4r3lyl14KO1Ecr0A5fGySXzkzc2NuP6s8ZGKoiiKohwL3Maxc13Xee6ye0BarqurzW4/Pz8/2rzvfZFX58Bep5DYphZEXqT8iPvElcdxn9j+m31qBrjY53uuq8+wbq3ETXQJjiVOxoXt9+PXiO0ztO8xe01S0i7J0uOR1j5tX6ekQWL3KdJ729f7vrVSOPa1KPnx7VgRSYs7K49GyoPJ895Ebp+Tq1aidC277gnXvaV1GI8b3CPdbtfEGXU6HfOYxzT2ej0Tj4Q4JTweDAZm7TPP+N9sNk18eavVMrU9m82m0XNtNBpmG6zNlstlk4tWKpWoXC6bXA3kwWXd93k0mrLsi6zP6NI5A7x2lkQenSopb5OTpU+2rvZUHrLOSVEOySY2HOwX7OeK4ee2xmKxMHm3iCfEPrgfEHPKY6jwGuKnsP6FfDC8H4//8DwvsQ7L9+ccoqYKYmk5edYS+Hnx72FfhGGYsKN4zAcRmZrU3D5D3h9/Dr1xIrd2YRzHph2/AWygKIqoWCwabVZ8D6jLXalUErkpURSZeL4wDGkymZg44Ol0Kua/5Jmj26TFj6bFqu5qm33UclcURVEU5X6R1hdsf53tB7Tnp5scw/bLS77FrGOMx2MaDocmznE+n1O/3zc2/HA4NPY58ol3Dc8vWhfEOBORyXkLgsDYqGEYmnoDYRiS7/tUqVRMbF+tVjP5TL7vG7u4WCxSq9UyebqNRiPh18HjdrtNrVZL6wAoiqIoivJg4esqsB1tPTjYnMjr4Xan1AabU2rjx5batqlDw9dtkdsmtfG1aqkNa9tSm5QrJ7Vp7puiKIqiKE+BvFqGh9jWpaW8CVl6RIds0xjE42STOIU0dp13sOv6nrvOEciKIVyXdWtdHopD16Q8FNt834vFYq3++dDbZ12XiG3Ky3K5XOt8Ntk+z/lgfMy7/brH5+z7+NL7bdsf7yLmcBfnoeyHNN1k12+W9ltu+zvz+E1Xm60fxjXFXPtJ2+N8+WthGIrbIxaAa4+mfYa83x2PLebgPDi2pmmaXpB9vmnnvI5Wr+t8Af/sOG7atvY5PHXs+Ou0302K1bbBNZJn2zzHlWqNbHLcrGsN1yzG/LTt0/QEpW1t7D4gbdus4/N917W5+LHz5pxK55K27zr9M3IWFEVR8oKcp6y+hvd169iaedvWJc3mlLazdZXzbAc9ZtsGXS6XplaK630lbH1nDnLIsuw/fr7Ij9qk78eYx/fLmwPEa5Li3Dlci5+3Ze3nalssFrl8i9J5aD5sOvw3l+xFvp1rvmVvx/P0sI19z4VhmNAQtTVJiT70Tcjt831/ZQ7Ma6rlzWPLq4ti10V1IelC2Eh6E5ys+GzE/Ujw70giS3tF12gURXnq7HpNlLNLvQ+pln0etlmzlGra5yFrnS2KosRxUV+L6ENte17rhu+X1oZ6OlJdHLsNNT6IyNSh5G3Sdq59YXPa29lt3Iea1we7T6T5lM0xaN7fF3zulvYdwGbN+h23raWUNa95iP7AcrmcsOdBGIYmrsiebzQajYRdjHmEXT8ZQPNKwjV/cNnPaXa/Sx8xbU7h0i90zQ3S9HVctRHTah8oiqI8RKQ4NZeOn2TnS9p5UhyupC0oxRZKtvY+zlGyy6XYyUPqsdpIY47kD5PGWXtMlnxd0vHt8U8aKyU/oD0GS+O1NLbbdYOkz6d+NkVRFEV5vOS10yQ/rq19LflPJQ1tyb8s2XySTSvl7uzy3O6rPodty0n+GskulGw3ycaU/DKSjSf5Yuxzk+xaSZNh1+emKIqiKMrjQ/JXbtO2j2PeVxvR/dWyk2y2vG3b7n/sbURah11RFEVRFEVRFEVRFEVRFEVRFEVRlP3gLZ9q1rOiKIqiKIqiKIqiKIqiKIqiKIry5LATK/MkX97nNrs67q4LFOflmBI1j6ktb1EPRVEURVEeDpsKfdyHuMh9HP8Q2HbXfdh6x3J8FdNTFGVTJNFVSSRWapNEXKU2yUchteUdhyRBWalNEnyV2iTR2l0WSlsXqQCPVHhTapNEXtMKBLkK9LiK/bgKiKYV/3QVDXWNXS4xLkmIFriEuvIWYz0W7PtMEjeW7glbKFkq/LHpse0iINK9sc9j75M8xTeka96+riQBZ+keylOgI8+xpXtEKlwiFQ6R7qOs4r2Koij7QCpIJbVJov7btEljZFobL7Iax7HZDgVTZ7NZwgadz+crbUTvbVC7LY5jGo/HibEwjuN7WduzCcMwMR6iAGsQBGK7XRwTxWjt9sVikVlA9D4JgkC0Q/E5UCgU2AVAMcaiGCgH47dkexOlC8+6CoGCer2+8r3C7ioUClStVmk6nSbsRVyr/Jzs63E+nyfOdz6fJ+y5YrFIk8kkcdzZbEaz2Yw8z6NisUjL5XLlPsRx+Hc0nU4Txw7DkIbD4coc9O7uzryf53mZhZ73Qd7iHZI9KM1P7N9eOr50DUgF4ez5nTQXlOxByb6Ujm/P7dSOVBRFOSxSoda0dqnggKsIrGtMdbVLtjuRbIMTyTZ3WrvLRzSdTsXj41j9ft9Z0L7f7zsL1c9ms3tZ59wG3/eNbSp9ZtumJ6KEHcVtBtsGlHy52MbzPFoul+J3ibkBHmfZ/nm2eWzwOZL9+9ivg0KhsFJgjv9G9j5BEFCxWFyx2+zflR+nWq1SEAQr8xV7vyAIyPd9KhaLxn70fT+xXxiG4jW0brGNdWMt09ZBstjVOkLaGsa6rHtO0+mUoiii6XRq1ugwDwyCwLRNJhOazWY0nU6N/wH7SG18e8zzJ5OJmcPx7bH+Zs/j8lIqlcx1hcd2W7lcTvxVq1UqFApmTsPnNtu0HXNxmHVic9aJIV9nW2lt+TFsIxVWPfZtpEKqj4E8Y4BrLfsYtomiSPxdqtWq8bXMZjPnNrDxbH8eqFQqZoyYzWbitc39mPDXceD3w3EwhtgUi0UKgoCiKBL93tgGY/9isTBjAT93bh8sFosVWz+O4xUbx2X3Y/vlckmj0SjzHsBYlrUNv9+yjmn/Nlnb83UGxQ3mGoo8V5CQ7O51jse/7zzviTlf2u+U9Rtu+3oWeb+7bfZZZ3vM17CeloesPoXPu4+JYzsfJT+b3DebHDvv+0i+kaxjb0refjTrfaX18rT989wv/Hh5trd9d3nZxB+yzvFh42XtY3/evLYTjrtuH7RYLNaaS8Efmve6O/a4iGPB9itmIcVF2/EoRPmua9tHLsHjZPIcL0+f4nmeuTa4P90m7/dSKBRoPp+vXG+27ZHHF82fx3Hs9KOgn7GPmXU/2vNg13Z2u7Qd2h6jT+QxEYZh6rXsuv7t9Y28bKLdgPWOdQmCYKPcvUKhsFa/B0ql0ka2T5Y/S+LQn+0h/95Za1Lwqx0LrhygfSDlL+yLXa7NZSHF9O2LQ8bkbbPGugnHvAanHBasefK1z/tqk+Kr8rLrdept2qRcVEVRFEVRlIcCj13jegWI+RqNRtTpdEzMYq/XM7EnV1dXNJ/PKY5jY9uNRiMajUYmdw6xI4hrWSwWiRzO2WxmckXxH3/wt+5yPZT7lD3PM74H3/eNXw3xu5VKxWxfqVSMj8P3farX6ybXs9VqmfjhUqlEtVrN+IeePXtm4oQajUYiP43bkXZuGZ/D8XiuQ88lFUVRFEV5/CAmHvYfbELkqPA8RuRRQt8O2/AcSBwPdibyFPk2iNXfVLe/VqsZLYVCoWDsNM/zqFQq0Xw+p3K5bNbYEUuNuAFoMCBPB3k/iFOIosis2/u+T/1+36zrj8djc87z+Tw15noTisWiib3wfZ9KpZKxh0ulEvm+b2LRYcvO5/OVNTU7jikMw0RMdxiGic8J23Y0GtFyuTTfF9FqrDeOPx6PM/NEDolLx0/S3kPsBdafpHim+XyeyB2Yz+eJ7xTxTLDVl8vlSk5XFEWJNecoiswxMJdCTiG/F3ichx0LNZlMzDHwG0L3Y9c5uuVy2XynYRia+8rzvMSaJM+fsDVjarWauZYxZyJ6fw3xtUb+XYdhuDJ3wvNyuWyOwTVmiN7rvuC35vmX+2abeZorP33XHFJXME8O2S5w5dlvStZvkTVmufL7OVl5aFl5i3k+s5QPhz5uPp+b9+C+F/54Pp/TdDpN+GNwzvvw0+waSadHitlwxQVIY4mU1ybFZrj6AilXWcrdc8V7SOv80jEl3SJXXIeubT4tJL0S2PPL5dL0G7wPm81mdHt7m+jP5/M5XV5eJvoA9I3cPkb+I/L/eP4h8hHt/hQ6g/y97LxN9I+8T3PpvYE4jnce62prVfCcTdd2OJdj7j+PnaeusbZru0fZDXlqkeSNsbRtEL5mhv7O8zwKw9DMJZE3zf+jr8FcMc0uLxaLxq+CP+iJIB8fc7hSqUQnJydmPlapVKhYLFK5XKaLi4uVY7s07SVbyxUb6tI6kOb4h4wvVRRFURTl/hiPx9TpdDL/3r59S2/evKFOp0M3Nzei3k25XKZ2u23+Xr58SS9evEi02X/Pnz8/qjylh4rLV+3SZyWS63MRyfWuiNzarURuPTGXbzZtPuby98L3YfsusA4rrUl1Oh3RbzAajVauYdj80vkeQ10FvsZot9tI/mb4qu+LQqGQ8DFjbkREiTUotGGN1V4DC8PQzLFAGIYrc51qtZqrBtJ91PN0rb0q69HpdOjrr78W//72t7+Z/qDdbtOrV6/Ev08//fRB1XvLA+93uc+Y11rka468/+b9L1/fQwwzH1P4mMD79CiKTPtsNjP+ca7xx33f28BrynDtFx7TwWMDNukD07SFNl3bs+vdPATgl8dYxOPBoQ8OjRXk5aNvR2wR4r0xXkdRZI7BNT64riQf22ezmYkL4X/7WK94SmSta97HNYpria8HhWGYuLYQx2brQCA+hvft9Xp9pa3ZbCY0Q3zfp2azmdCHkHzQ0vq4NNbb6+D2frbfVVoPd9VDVR4+fBzmNYnt2Bg+FvNxnM/X7PH4b3/7G11eXtL19TV99913dHNzY46DvJ1qtUq1Wo1qtRrFcWyuVYz3cRybueWu6logppTo/fXPtc7wmGugbRsb5dKNeqpgvEU8cLlcNvGK6K9OTk6oWCxSq9WiUqlE7XbbzKnw+NmzZ1QoFOjk5ITCMDT9Zq1Wy6VrDSaTCfV6Pbq8vKTJZEJv376l2WxGV1dXNBqN6Pb2ljqdDvV6Per3+9Tv92kwGNBgMEjEUcRxTFEUmXW/TfX68sLtTthDPNetWq1SvV6n09NTevbsGb148YKeP39OL1++pGfPnlG1WjV5b/w7P5R+zUMlzW95dXVF7969o9evX9ObN2+o2+1Sv99P1P0DaZqXiKnF9X56ekoXFxf00Ucf0dnZmejjfPbs2aObS+6KXq9n5oK4Z7vdLg0GA/ruu+/ozZs35jfr9Xp0c3NDw+GQxuOxsfn5fb3vmEp+b/P5DNbv+bh5cnJClUqFzs7OqNls0unpKTUaDTo5OaFarUZnZ2dUrVbpxYsXVK/Xc93fsAs6nY6xBWAfDAYD6na7dHt7S8PhkLrdLo1GI7q7u6PRaESDwcBs3+/3KYoik3+A2DDkGj8kdjGOc63sbY7jOjb300p6l4hDwZx1W2q1mpm7NBoN8/4nJydmjEfsF8ZmxCwjf73f71On06Hr62tzTo1Ggz7++GN6+fIlvXz5kn74wx/SZ599ZnIXcA3b8xXu2+Q+2UPqsin7wV5nsuco0hqRrWtlr+/YuQ98bkO0uoaE+Q6veYH1HIwPRO/Xt3j8F96L+5KQn8fHkjiOzfvxvKFN6089Bex+zq7bZ3NM8y/Jt4t+HHXy0KdCEwN6F/B54q9Sqaz0cb7vU7VaXYnDQ+wf5r/IYYvj2NgcyCkdDoeJ+HDMc+Ajxb0AGwnx6bhmj00bfNM6LHaNQn7fbmoLBEGworlt+6J37WPGbw/fJdfQg41pa+zt+zFvW2fu/lhIW0v861//aq6vtLXE73//+7qu+/8j2QJSnIqU02LHk0hxLFKtXyneBPbFcrk074Nj8dhvnBfWlrivE/ayncPN9wNxHK/UMcO865BINULyzp/uex0t69yltSp+zth/3bobh8BeM8JnQd43b/c8LzG/Q7vv+1Sr1VZ8TWEYmjUuTqFQMP5ZibQci7TX0uZ0aZrf8J9IuPIesl5Lq+v4UMazrHhMHoeJv+vra3FugnjMPHGY+Pvoo490nVFRFEVRnjiSLo0rdt+l9SLVNeBxLkTvfbqTyYSurq5oMBiY9fzJZGLWt9CGP2wHH1hWPCnP0UWeLuxk2Md4DY/xfzQamRgx1/w+T01127ctYX83EtLcV3kaYA6U51pSDgvXUQT8cbFYXKlH6KqZaMcv8Ri5femhwB/NKZVKiT4P8U087h5a4PCno3/l+9j6I6VSKeFXgG44tO+I3s/boQ8Bn7ntb3jx4kXi/CTfgq0FZfsKnro+ylPElc8oadpJdpDka5b82y57SbKLJBtC6uclG0GyCbb9jJtqzt4HvA+y42+gvwndW4k03yJRPh2arNpykv6c/RnS6ktmxdDsq/7BIfIPDpETmUdvaFskLcVNuG8bH/VNwGAwMH0G6pYg/of3RfycJ5NJIgaBb3dzc7OS00X0vs/i23ENPMzzYA/x7aDPSbT7eB27fis0ihE3gHsDMSOgWCya87DnjngOjSnYThwcazwer+hME31YC+LfrX2f4nm/3xdraPd6vaOKx4FWlm0bQ2cLwD5GO1/rQx+KsRR55PyaCIJA1HwFiKfBbwIdacRw8jFZ0kvYBsSEgNPT08RnC8PQfDfI2yEik8+BGNNCoWDOE9fBbDZL5FhibRufw/d9c29D9wBxcpt8jmq1mshxg4Yq+klsw21wjDdYt8NaIt8G44W9DcZptekVRVEURdkV3E9iz9HSXuO+He4nms1mJscL86Ver2dyF6BhhTkSYsJxTMyFeI4c0QcNcaIPWt6wqXcdD85z5bhmAo+jR7w81tgQLw+bHrZaoVCgZrNpXuf2Xb1eN7oO5+fnxmeM/GPkJRMl/TlZfhVFURRFUZRjA2uNfM3xvtryxDm5yMo7O2TbrtZpFEVRFOWxkicmOQ/T6XSj42yyRj2bzTZal3Vp3KcxmUw20kXc5HNt+l7IeUY8F3yGiCmA3xI6FIvFwtQIiKLI+A+xnow8aWj4oo3r+vI2aFYQfYhf3UaDClrwRB80oLdp4zG1XO8D/ky+r92GxxxXHYVNyVMrdx3SakMojwfEa+dhnb5o3X7LtX1aPOQ6ufvr6gHue3ui+9dROHZcNU3W3d71u6xzfK41vu755L0u+PnkuZ7s81n3GtykVjXGZY4dUyitIWbpfEnxw3nrMdg1HdbVFON5NHl17vMcb9P9iZIaWJu+1zocU4ynojxWJO2ivPvk6Z/4Pvu8p9HP5j2fY9MYPBbs3AEJ/h0jRiZrO2DnZ2Zdfy7dJYkgCEyefJ78HztGPwvoaOYB8eB5QZ04vE/WdQxd47zUarW173PELq0DcteI3v8eLk2t4XCYy5eyyTlw1v0dlP2RVkfzvpDyWu+LKIpMnlkURcYHyWM087bxdiJKbMN9na7jQZ96E3jNKjxGfCWvq4baakRkHtttvN3eDr5d/hry29CG2M08uGq5bsour620erbr4qpza8PttfF4/GByq58yWRqqUj0J1zZEbp8gX1fAdpJ9z4/N9e4fGo1Gw9mPBEGQmueO+r9SzizR+zxvu9/ipOXpZ+XYZ2mJpuWxp+UkpuXuu/LvXfnsrnN06a7m0TZQFEVRHi6Sxo+tBSTZxVLsgRTfIOkF5XlPKRZBqi00Go1W3hP14Th3d3cr+h/Qv+DveR9zZ+7zwvnYYzJqs4I4jsV1fGhUgiiKVuogE32ot8q/E/tYkr3J53rQv7DtELw//E8ujRLEOi0WC3E90f59OLYWzUNDstG4f53/XtL6Jr6v+Xwurqke6zzA8zxzbdu2PvyQtr8a9ZXs+RA0PYg+XHONRiPx3cF2t69tKf9TsoUl299ls0tzCMlOlzS/pNwDzVFVFOWhI+nWSesUrvhTSZtSyjlDbDJHsj8l/UzbjyzpdtrHl85XsoFte3eXfuY8SH4kaayzxyVpnJM0MW3/Ftf2AtJYZo+Nks9J8ltBLwxIY7Q0nmZpcSqKoiiK8riQ1uOPpe2+zkOyq/eNZD/usm3fx9/1uT2UOpSKoiiKomyOpJsh+Rq39ZlKcbFS7G1eP6rkM5Vsyl1/vkMh+UPtWDrJr2n7GXe1jeR73dU2ts2pdREURVEURVEURVEURVEURVEURVEUZfd4S1VkVRRFURRFURRFURRFURRFURRFeZTYyXZSYpwtKiYl1NnJfVIini0CISXw2cmEduKfJGiW5zPYiYbSZ9gXxWJxpXCSLUgmJQXaImK2sJkktmYn3EkJgHayoSSGZgu0SceR2qQEv7TiAoqiKIqiPF6kIg62PWjbcbYNKQlQ2LapbVNKtqAtTmEL90q2YR7RXkmkQipAsW8koS+pMJRtX0r2nGS7SgK7UjEo28aV7EDJ9pRsYekzSeL2tmCvCk4oinIIpLHGHjdsP4k95tljiD3O7OI97DHSHu8kH4s9Vt/HuEYkjw3SGCW1SeLt0vgjtW3j/8jrE3H5SSQxeanNHvueIvsUwX0oxz5kEex9CuU+lFHDiroAACAASURBVGPrfacoyn1g+1UkH0mW7ZZlH2bZoHjP2Wxm3mexWKwUwkQbf28UX+T26nK5pMFgsFIYdDQarbTlKXy/D6SC2BJSQcX7JAgC47vhY1YQBMau5p8NxdClwpsodG4fv9lsrviCJFsZ7yX5Z9Ztd9nO67YTfbCt+/1+wk9oFw+dz+eJe69Wq9FwOExcy/a9JN2f9tq05Fu0bTrbZyn5V20/p20r5lnr3xf2PE76PWyfojR/s/2aeX2Mkh2Xx4cpXX/SeeX1kartqCiKsj1SPNk+i8IT5V8HJJKF7e32OI7NmD0cDo1dYNvreG77eVGkm3+W0WhktrPbj8k2RUFuqV0qMI5x3y4ez8frxWJh9rWPvVgs7sWHvQme51GxWCTP88TfrFAoJIqZ29+XvU6KbXAs7GsfO47jlfvCPnYURQe7jorFYsLe832fSqXSSiwl/7ye51GlUqEgCMz3Uy6XVwrQVioV8n3f2GjYB/A5EmzHarWa2CYMw8Q2vu+vzJPCMDRrE8VikUqlklhM3l6/ePnypRbweoJgPOHjyr7bsrZfFz7fwuN123ZxDKLVOZ2iKG7SindKhZ6I3tvYtq+XMxwOnfuOx2NjD9s26nQ6XbHnx+MxLZdLms1mon2N83H1XfP5nCaTScJ/DWwfM7d1lsuleEzYTPw87c9pz1P4++I9pO/ctseUw5DHR5e2TdpvJs1LlN1jFyxbF9tuWGdtx/M8qtfra9279ryWU6vVzLksl8uVwnoSvO/Asfl8Dm1RFJHneVQoFMxx8R/zaT53lo7F95PeJ+vzpcHnufgOfN9PtNttaOfzXD735fvw98H58zb+GO8xmUwyP8t8PneOT48NO0ZPIgzDXPdjuVxeWWc8xHumzRHiODZ+hTRwTRQKhZVCl3yb+Xxu/Dscfp9FUUS+76eeP2yY5XLpPH/eD3CfGz8/7of0fV88VhzHZjvX7zOfz2k+n5v7BJ+X24WLxSKz/3LZWvY2dmyBff/inNY5jgu7/5Lu/2Nb/1d2xzo+hLxrvPYYJiGNW3mO6fKD29tK1+y217Dr3th0323eV1GOjUPFgNj267r75Gnf9HhZ29i2+TrngP5vsVhk9n8cqf/Y5HPn7bOz+ivX/i6fQZZPwn6/PJ9t0/029WtsOk9UP8ruWNfWyXsdrcM69500j8rjI1GUQ7DruM9tfZtSPOw6SDGweYEvpVarrfgWsRYyn89XXuMxU8vlksIwNPN9vBZFkRk/7BirxWJhfB7YbtPPHgQB+b5vYn4LhYLxraANsStSG+JECoUCFYtFsy9+E6kNcS5oC8OQzs7OxFifPOxCK0HKS10HSadiHe77PrhP7HVa1b5QFEVRHhI8ph6x+jz2HvlyXKcEcf7L5ZKurq4ojmMaDAY0GAwojmOTPzebzYw+ShRFNBwOjU05mUyMTYh1tCiKErH2+5xDYo3M931jwwVBYOzLIAgoDEPTVi6Xjb3I4x1rtZqJMS4UCsY2r9frJt64Xq9TqVSidrtt2tvttolFDsNQNVsVRVEURTl6XDks6+S7SP9HoxENh0OaTqc0Go1oPB7TdDo1x7I1FPIQhqGx5fDn+76JpYIfB23L5ZI8z0vEbk2nUxOvYcfEb0KhUDDrPMg3xHsjv3A+n5PneeYc5/O58dfB98rjyezY/UPEY0h6D5J+rO2Dl3zYtj9R0peQNAklbVppOyK3z1HSkHB9FulcgaQ74TpHZRWeL44+AHBdFp7HbWtq8lwX3g/ZWpv8vezccv5ePK/dzkvn7yXlxG+Dff3za86+f3i8PL+WuRYQ34ffH/ye4Nc7v5b5WgF/L6xBqP9bIXp/v3U6Hep0OuZ+sB/nfe329jZzrC2Xy9Rut8013263V57nfe309JQ8z0v0OTaSVgWQNCckzQpJ85doVUuYSNbUkDTzXeclHVPKLXbVaJL0TSVNj133fetg94X2c1uf2H5u2wr28yytUvu5bUvYz22bwn5u2xYuW4P/NvZ1lkfnLKtGmHRN2dfjpjXM7HzUPPXJpHvhPpBy2iUNbCLZ7nPp8xGlj6PIM8G1xuMo4D9HbALyc5ELhn6pVqvRdDpN5IXhNd/3V/LKbN07gDxeMB6PTSzafD5P/Jbj8dgcM4qinf+GXCuE6IOWCHz7/LVqtZrw93MtkHa7bV6D5iKo1+vO105PT81vwu/1PI9d8wvlsKSN67vClYPPsec8LvLojufREHF9bqzXjUYjiqLIaAyMx2Maj8cUxzFFUWSeQ0cAvhr052lreEEQUKlUMn/wzZRKJTPvQFuxWDTrbzyOK83PYY+BaZ9XGh9dx7gPXP4JaSySfDJE7r5Gio9c5xi2z8M+V9sek8Y4+3PYx7RtrG1iIBVFURRll3AfVtbf27dv6c2bN04fF/dX4e/ly5d0cXFBtVqNTk5OVv5OT09FGwak2Z9ptqI0x+dIPqZ9Hhf7SVqY2Efyec1ms5X8tvl8br4z+7vhdRHstbVj1DL1fd+sFdo6KkEQOH97qf0Y8rckzQ+sldrrhND84W08dg8ghwNxe9gW68Pc5oVGiMtulvIvXOuOUq6Fy8aW/H2uGgp5NPkVZRsmkwm9efOGvv7665W/P/3pT8a3WywW6ZNPPqFXr16t/P34xz/OvT5oz9H5HDxtnZavv+TdzvZNc5849zfb293e3po+EjEqRLJm4iZwnzHub/h/0b9znRFJ82sbpHxJrlmtWh/5SdN04K/Z+uCA/552u/4OuwG+RU6xWFzxuSGmn4+5aMO9GcexsSfm8znFcUyvX7+my8tLajQa9PLlSwqCwOTGRlFk8iCiKKLJZEJRFKXaYPCxwS9WrVapWq1SvV6nSqVC9XqdyuUyNZtNajQa1Gw2qVqtUqVSoZOTEzOPqFarieNwVLtZyYKv9dpxDWnxW3xM52u/9pyQz1ld47v9vnzeiPkn7rPhcGj6TCkGY1Ow1ohxmGvgAK5hiceI8dyFZgb6JLu+hK0zts37cC0g2CCb6u5JY999g98Rc0fk/SNvC/1ltVqlWq1GlUqFWq0WlUolOj8/p1KpRGdnZ9RqtajRaJh1jFarRWEYUqvVSsQKcP8IbE9c28PhkO7u7qjX61Ecx3R1dUXz+Zx6vZ7Zr9/v03Q6pdlsRv1+n2azGQ0GA5rNZsbngbGFa0jyGjWH/O75tY8cO8zR4ddqNpt0fn5O5+fn9IMf/IAuLi7ok08+oe9973v0/PlzHZcOjOTXhP/S5d989+7dynUFn+bJyQnV63U6PT2lRqNBnufRf//3fxMR0S9/+UuazWY0mUxMLgDez8b2kb58+ZJevHix4jflfy9evNAagHtmMpnQ3d0d/fWvf6U3b97QN998Q1dXV/T27Vv67rvv6Pb2lnq9HvX7fTN3ns1mCd2ZQ48HXNsaYwB0ZeBvrFQqxr9XrVZNX14qlYwf7vT01PTvrVaLyuUytVotajabVCwWjW/OrpGyXC7p7u7O2EywddD3X15e0mg0opubGzMu4PtDPeDBYEDT6dTEYyA+A1rYj0WXy9ZV3NYngfGIH9tlm2zr90dMA3zOsKEwV4RmEdY2kC+/j3Ha8zxqNpvmszabTeN34jEcPNbC9i/z+MZd7kOU9K/zfVyxlsrTY9Oak1IM/mg0ouvraxqNRua4/X6fer0ejUYjE98GrQvE2E6nU5OzCFs7zQeMez8MQ9PvwBbmMbhYy0O/jrEHc0jY9BzMdQ+JVMvwIeLyedtzaXtbrvXN2yU9fOU9tv9gm+Pw4/E2ou3ntxibiZK6rLxOKvKG8b7QWNxVzdNqtWrsBoyDGFNxTjyGk68f87EybRzm69Z2fCZfY3blFhIl/cX7iGufTqf07bffHmwdUnn8SDl7dpyUZCtI8eKSLSLFMEmx+678OdtuwfoQ96tjzanf7yfOm8fo88+yWCxoNBqtfEbocvHj4tzuW9+bz9EAxg97DEnr7+/7c0hwjQc7bgu2nv2aXXfb3g9jAXwqx45dI5row+dATpv0ml3vGa8FQSC+RvR+npmmfZvmX07Tkq7X64l8GP4Hnw7/PxqNVu5Zfo6np6fGVwp/ab1eN+sK+F+v16nVatEPf/jDVN9mll5wlk72tnrBiqIoytNGysG0bW7bh2fb1nZsiaQxINXSduV5Sna6rfUDpDmDK6/UZddLuRiuczs068Sfu/S0YJMuFguq1Womxo3HH2B+Esex8aHAf4r1qrQarjx/GP5TxMJBrzcIAhPfBhuzXC6bnP1arSbaNHn1jPLUFsmj/ZXHX+LKLdg1rlzj+2TbWhePAfghRqORWWMnej/H4/0Un1PMZrNEP3l3d2dew1ox6PV6JnffjmPnx59MJua+tH0jiF3Fa/y9R6PRztefK5WKmauFYUilUsl8Pvs1aCzO5/OVXHLcn4vFInGvIhaM6MOcE+MS13D0fZ8KhYL5jNBwxGs45t3d3Up/Ay2DNA0KaXxy5c/l0X04BNI6rdRmz7elfi7PNnZfLI1Ndj9i93XSOGf3zfY2dh7Xpr5v+ze27RfuN7SvFfs+tK8N25ax7SXb9rDtFvuasu0x2yaS7B6XxtihkMYQyach/X7S9Sbl77nsJMmnJGmFSmOvdM+4NKTSxsms6xL2F8aAbrdrxohut2uup7yafll6N5IG3ya6fXiu/ilFgvdtvF/ifRjPR+D9MPpg3t9ump+4SR7jLuB9l90/8T4o73Z2f8T7nDSN2rzb8XH8qeujufpQV7tLM2HddimGKq3d1smSbFnJvyFd6/b6qGQ3SGutkr9nX8C3wJ/jmkV9TKIP643YFr4OzCMWi4Wx/fH9eZ63E/12rJ1hnbRUKpkcYtzLiHdGOxGZnCRoOUJ7Po7jFb/NupRKpUS+IffXYExf5z8RZW6j2uuKoiiKohwjtr8Mtiz8MHd3dzSbzajT6RiferfbNTm+vM4mtoXPD3baYDAw9hvPt4ceOHTTECMI228fuUfI/yX6oPELbS/kQfCYMMRAQ6ML+Xm8/iZqcJ6enpq6m1jDwz7cZ4c5KF/rO8a1L0VRFEVRFMBj4GAv8jb4iKU27ouV2mBPSm3cHyu1rQtfa4C/n7fBJpPaiD6sK6CNr41iTRBxIcgLwGu+71O1WjX1JVx55XnrcrjYtnaRy++el2184656Zbtg2+81L4eo43GIGjJEh4sT3fU6pIs8tWy2xdU/5c2N4vqqaSB2Li/rzK35dqPRSHPLFUXZOTweNQ3p9bR9NjneLnDpeqy7v607JW1nfwbX+2zjU+VxBvx/Fnm22+WxHiu70g98yt+h8rjZ9h7Re+Nxkve6yLNd2jbrju+2dtc6+677vttsY+t8uLbPqz2F2EDXe+/iPrTtFdd5pL1nVttD0DhRjgdJT8h+PQ+I5d0UxD2kkXUP8mNgDpL3fuD7Ze0j1aVJOzepf8rrT0ScymMG9WWyfn+sZaRds6VSycRDu65JV26aTZ6cizQN3qz3kfLeQFqOe1ZOflr+V1pcjyuXDqTpQT31/BRFeaggp5nnNudpW3f7ddrWJS0P5tBtkm7MY8Sl6bPrfTZZG99kn03Wk+311MVisXINT6fTRG7hbDaj29vblffm2yDmmej9d4aaRZLOOUCNCzuPka/DIs7Z3saOCbDPh4hM/QX+We3zeQx1Ne4LyRbE9438RAC71s6rtJnP506bDfHtko28K83uXeJ572tQS+dbr9dF/5Wta4XHXEucvybZx9DKkuz8NJvZpUHhsqNd8wGXbe2aI7jqadvnk3cepCiKohwWSXdTsmuleZMU52lrZUhxmtJ7Snbxpu9JtBrnKOm32cffZ+ytjW0DSP42e6zmfkDkDLZarYQtgrp50I/wfX9lnK7Vagk7G1qeHNuvibp8RO9/09FotGIXIB48jmMajUYmFtz+3LYWoo0rFtY1d+K/G9f2IHp/bfBavHg8Go3MdtyHb2sxop3ncQLEFR0ipnpd0tZKXPUM+Nrhfa3xQTuSA11Ze25Sq9VWbFzJ7m21Wis2b7PZXLk2G43Giv0t2ep59emke1qyh21fum2L25pNiqIoDxHJpsvTdoz77fLY+0TS5s3T9tj2U11zRVEURXk6bOPPlDR77fx+yccp+RulvGgpVkHSL9jlublqLe0bSRtW8tfYdpq0/in5RGy/ieSTsd/P9u9sso90frZPR7XOFEVRFEUBLh0jSadHWueWbEDJVpTWVO3jSeurebaxz2FX2+wT21aU1uqyapHtcps8tdE22YYouw6boiiKoiiKoiiKoiiKoiiKoiiKomyCt1SlYUVRFEVRFEVRFEVRFEVRFEVRHiGHFJ861HHzbmOLE+yTLJGoXQlL3ec20j6SyIKiKIqiKE8HW0hKEqCyhQZs8QBbPEsSybcT923bTxKcsm1BW6DAFgiQhBL6/X6igNChhFXzCHTbSfe2mL8tIi4JENgiUpLQlFQcVErwlwr/2MJWkqCAJIiVVjhUURTl0Nhjnf3cHsfsMUkaX2zxG3tstMebQ7zHJgUk10UaZ+zxzB6b7IKktm/CHiOl8e7k5CRRtMT2ZUjjmtS2qZA4kY5tebDFTaXr2rYr7evctt1s+y/r3iJatTslO9M+rnSukgirfb6HFk2Vrk3bXpPsTtvOk2y6XR1buof3eWxFUZRjIcvek3wltt/DHsNc4yCKdc9mM/Oek8mE5vO58enMZjNaLpfmHKIoouVyScPhkJbLpSn6h/1Q/G06nZqxGAX0uA0ax/GKoOSusYsqS6Dg3iHxfX/FviwUCqLNaReuc/lc7LbT09OV4trPnz9PfB/SOO4qDO2yYSVf0SbtroJ0uyhUd6h17WNaYz9kQah9rTsfyz5Smz1XVRRFUdLZplC3JDiep2CNZDNLftR+v5+wvWEH8/eMooiGw2HCz4TtJCF1zmKxoNFolDi3+Xy+UpjnEBQKhYTt63meGc/454CPZblcmu+Z29UoGn4MlEqlhG8X52gXdcZjz/MS65B2getGo0G+75Pv+4nvZLFYULlcpnK5TJ7n0Xw+T3wHKCxt+xHn8zkVCgUqFosUx3HiGsI8CmvA9nxpPp8nzs1+nYhW1rrxOn7X2WyW2GY6nVIURea40jW8D44p3vHQ29jrEYqyazB28nEPYydfZ8F6CY/hwXjKx2SMp3xNA2sxed9rXfi8H3Mt7oPAfcTvMawnYv2O+/uxlsj9G/ClSO/F/RRSQTlF2RdSsUYiuViP6x6T1h+JVtdIidwFg1xxAZIdTiTnYkj2fhzHNBqNRP9Ut9tdsScXiwX1+/2Vzx5FkfFj8/edTCYrn/HY8DzP+Gwl/7Odb8E/u+R3gt89rZ9Ks9M9zzM26mOhXq+n+ujCMFyZG0jUajWxuJH0XVUqlYTPPu06LJVKVCqVcq2DLBaLFVuSs1wuzT3p+75zW+me4/54jPMuyuUyLZdLsW/hjMdjCsPQ+d3a/UoQBIlt7Zhi6fgu+HqVi7TjL5fLje2WYyHLZsmah2S93mq1zHof/nA/LBYLqlar5nUiMnNk/BWLRbM9+h3853NdzJPtP8/zTN+/LpiD44+3FQoFY2fitWKxSKVSyWxfLpeNDYnX8FcsFqlarZp47nK5bP5j3yAI6OXLl86+SYqPfoi47AQbqTChTd4YRalQoY3L3rGR4sMkJJvKRvJBSrjsNps8hQ3zzr/yrhVK9qdN3pg2l4370LF9ioDbqOVyeWW93v5e7TVy2HegWCyu2Ij8usfcmMP7Y6L3/Qw/xmKxWDmGHX8wnU4T58HHbdgg9r3A32O5XK7cU3achu2nJKLEWAafud3382NMp9OD+DKPEd/39x7T8lRll/P4bp/qd6MoiqIoytMmzU5S++g9edcU14kXwLZ59sl7XM/zxHPd9HdMO0fXMT3Py5zPSfvaba5t0O56/zzH3pZ1fo99vse2nyvv/toPKI+JYrGY2qeve9/uY3usb2D7dceWdc9p3bgZxGDaeUlp53RfsTm2PsGxsI/z2nXcoivPbBv2obPwVL9LKXZ1W6TcxW05OTmhyWRi1gOwxjaZTMyaFtqm06lZW+v3+zSfz008P9H7dYfpdEqz2Yx6vR5FUUTj8ZiGw6FZv0PsA94Pa12It0bu6yFtG75OUyqVyPd9KhQKFIahWdMOgsDEOOJ3wLo04iWLxaLpd8/OzsxadrPZpEqlQtVqler1Op2dnRGRHFOpKIqiKIry0OCxYYhnR9wT4rwQ14a4KcSJwW6cTCY0GAxoMpkYOxMxbjjWcDik+XxOk8mEoigS42ayQPwgj7/heZlgFzHdiOFZLpfm8WKxMO9tv98+Ym9go+Izci0/3/cTeoK2zoitr8v1G2x/g605YusB2hqCto6h/bpkH0sag5pnpCjZ2LG0PObXjhPmOUk85tSOjeXxtDwG144Vdr0X34fH0/IY6Dxxwlnw2HDeT3HfF+9beL/H/S+8/+P+KPRlPHeSvyfvV13veax+0UOB3388HlOn00k8tp/n2e7m5iYzjr5cLlO73aZ2u21+C/tx3tfOzs4SY6VyfLji7KVcCiknQsozkPIF7O3s56PRyPTFsJXRx85mM6MviLweaE5A7wKx3rAX8Tr6bNsu5ts+JHzfpyAIEn7/QqGQsN2DIEj4x5fLZcJGhBYJjkX0Ic6fa5pgG6IP8fl2f1woFBL5F0EQOGt8SbH49rbQtZHsV77t3d2dmae4bN28uTJ5c4Iea66Jkh9b99L12PUa1vb5NvyxrS8kbdNoNBJzdrTzfuH/Y+/LlVxHlrMTJBauvZ0zy5n7X+M68hR6CVnyJGPeQY4iFHL0FrJk6AkUMa7k6U2kUMi7M3NmTi/cQRLAb3R8dRLJLKAAgmx2d30RHY2lUACBWrIyv8zE8ToZqi4nX91aUq5ZOeriZNf5J9pifAJ1tkW5Vpew2RE1u6q2zm4DKdNpspzLsV9//dU6f9nkMtsx7fjd3V0nv/elYPPNtPliamsq2/zRRR02/0zNH7NpbA6tjrpcHq7+osdA4+PI8aVpro4u6pTjkFZnXU4Rvu/zA5wOdT7edb7iXebK6EIP44JzyZ1djgHnyvV7Ll13lZzjCtu4gLUMMB6PS3IJ5xYBiDkD1LVFl7WQi/9+le9+VTut63dV9WrPhdhy6/XacKyQKwCx6Pb7vYnhhDiXGp+Kr3WxjXicfD3MZXEZf/XSwdf6Ms4Vj9mq5THAO8iyTPWV5zFdLxGj0Uhdj8lcCVJm4LoRnOP9jr83ouf1BMa8KIoOdOEcNo6pFg/etk7S1nY2zrNtraSNn7ZcCafgXXp4nBtarmGJuvm0SR3QRQOr1crEqVoul6W5Pc/zkgwGHgjR87rz/v6eHh8fabFY0GKxoMfHR1oul7Rer83YHIYhDYdDE0cK+uAgCCgMQwqCoKT/xtwJyDjliBkj41N3ARljBPMJH6+r5tnXNAd7uMHm0yDbhCz3Gu05LwHIspB5wfEHLwpx58bjsdEHXl9fm7/RaETffvstXV1d1eboJrLLOpo8IeUUF3u3qy38/v6+dh0dRRF9/Pix1uZtO4b9b7/99izrX4/uUJX7qmmerLbXdlEWcyI4o10iDEOzPun3+9Tv9ynPc2MfxhiMeRzAcyDXH+AS19EFPH4cnxcgu8i4d67yRR20e8oYA23mpSYxDS4JkDXh53V9fU1xHNPV1RVFUUTX19dmnplMJmYNi1io2+3WxD7e7/cmPiH0EqPRqGS7WC6XJe40dGnz+ZzW67XhRC8WCxMzELog6IZ47hzE+7ukfDRVwBwehmEp5iz+7u7uzLz9/fff0zfffEM3Nzf08eNH+vbbb+nu7o7G4zGNx2Pve3cheHh4oD//+c8lu6/8+/nnn02Z33//XY1Ve3t7S58+fTqw9fK/H374wZT55ptvKvU7P/74IxER/fTTT+r5zWZD9/f3zs9te3bNPn3ss3ucDmma0mKxoKenJ3p6eqLffvuNvnz5Qr/99hvd39/T58+f6eHhgb58+UJPT0+0XC5psVgYewF09dAvX/I8B50v1k3YRg4vrnOBPjhJEqNPHo/HNBwOKYoiGo/Hxk6GMZiITC6Z/X5P2+2WBoOB8R3v9XrG1wf5k2E7WSwWJqfcbDaj3W5HT09PlGWZ0UXx+Q85mZv89nN9my7kH8mrsvk1tdUbgG8lOViQH4i+2kxOoZtAG8R2HMfmHWG7KAqKosg8RxiGxq9Ks+vw3B3g23YJvr5vkmO3aT7ec9ynjl/mcfnQ+Hht96s4eURf247Gz0NumMFgQDc3N8aud319TVdXVybfA2T8OI7p9vaW9vv9AWdD48Bo9gybDQP2hd1uZ3KZrlYrenh4oPV6beKWIM4J5m/bWvutwkVPzWGLM3/pMo/H8dD4BxpnnOfRJSq3GbndpUzBbYRE5bwRPB8u8ifCjsjLYYwiIqP/IXqWTVAO4wVk1fl8To+Pj2bdiN8IG8Mf/vAH+v777+m7776jP/zhD/SnP/2JvvvuO+r3+zSdTkvcCs6/ALwvtIeHndunHb/EsvDx4/HYgPl8rtr1tNyQaZqqOV0gz/Axlue+vjRA72vjM1bBJm+8Fvs558dpv9UWF1rjDHDkeV55/lTxSM6J4XBo5m4NyDOnIQgCGg6HVp+rXq9ndF021Pl8ufhO2LjYiMMoeQkceZ4f5KvSntEl/ifsUlVAXr8q2HJ9LRaLkv5Fy/cl0ev1nGOXuuRhOxZd8OZdce74kXX+iTbU6Y28/9DlQPrESJ2J5lchfZSkP57Uz0hZR/qja/5/8h51/n3yHtKHsUu/KBu0dq1xwGzt39Zvzsmvtz2bzT9Y8yW2jRuaz9RryeFapR919XG22bGJDnWnTTh5/Nj3339/Un2ALW9sXQ7VOt+7Kj56XR7auvgWdT6TPPaVRN24UedTVpd/VuaDxrNwHTO3t8nj2IaNS67ppB2QX6uV4WsAm27O43WiiT3P5iN1bDnEM5JA34+iyMxrNn+M3W5n+NyAzMnL8Vy1CQAAIABJREFUIedD+FDKOqVPKi+DePbgR2Cf28HzPDe/D78R9XC7/GazOcjje+p1ihb7FPun7Nv4ltD/c99CrjcPw9Dsw5czDMOSzjtJkhL/XspAdXEPcF+Nw6/p0TXZTZODNHnHx/q/HNTZwJueq5vTNVmuTaxB72tRDZf4oXzdiDUlX9Ny+c4Wp5T7/XP5l7eDurqPgS0GKR+z+Lgkxz1bOTlG8fvwsVSuCV3LnStGhofHpUIbA7Q1o9RvaetpGX+Ejz9yjSz1ePKeTa/l/td8fC2KonLdfwy4HYdzXSHDYp0Mf6QuuJwyxiDux32/IDM3vR+40vBfx3+sjXq9Ht3d3RHRc14pjKfD4dDIoljDYdyF7Ik6MKZzObfrPGoeHh4eHh4eHucE5FaeS+qXX34xMuxisTD5peC3h334TcMverFYUJ7nxmdss9kY/Sz3m4ZdpSgKa4y9UwFrdfjM9Xo9IzuCx9Pv92k0Gpn49pAhkY80DEP65ptvTH1Yr0Mu5PpLrNm5DgF2Ys/b8OgadbbZpug6zrNLHLRT4SXvXYdz8Gnaoo6L8JKo4zK8JIqioF9++aXRNU1zeDe1de52u0Z6Fs22W4U8zxuPP03vIdHUL12iLoZxFZB3vS3AQea5c5oAsYrbwtVnG+9Xclhk+6vjuMhj54iH7qEjjmPnfHkyRw1g+8ZRFNXWzbkSNt8UrSwHz0EF2OJOa/4ddeMGOF48VoIGXr+tTctxWvpkavmtAPmbqvpsXX9G/Ano3F3mD1cf7aZ6fNey2jd9j5C53FwAblDT98fjlDS9F4eLH3Jbjm3T55O2Lpfyrvdq6lt3ytgH4NS5ou0zuF4n/dRt17q+Q9exqEv48cejKVzHJ5tfap3Mgf+2/IFN4BJHHffSZCnb8/Ey2pgry2kx3W33aNInbeO9y31w/JgxwI8f50eXPI23+v1kXl8NiN1sG3NQD2wqtvEM68Iqea/f79NwODT1aGsixEvU6uGxFjWfPq6f4hx5rFelPorz6ome28FmsyldEwRByW8jTVN1bTOdTilJEsqyzKpXx72Wy6V1fTQajWi321Xq5geDgbHF2ZAkCeV57qTfdbEtuOZQdslR56rbdclDRlSfC/AtwObHKuES58jVX92Fl+zql+qSM8rVF0Tzx+V+SMhVE8exsQvhPGKeYj+KImOvhk8g/oi+xn5BGaKvsauQax5/RNQ6HxziQ/A4EYjBgT+Ug905SRKaTCbmHMqhDnkd4q3byuM84JoPvQpd5Kys8yNxwbFjRBd2vC5srm3swE2/QZWfr0QT22ue57RcLivnLalTulT75DnBc21I4H1VxfLB+kYrw32miQ71kNq3wvxi81FFva/JBiT9ZAHIw5PJRF3PBkFAo9FIjV0BeVXO24gVbvOxJLL7C9vkAFvcCW2uJNLjXxDpHHjbc9rm66bP7uHxGsH9ZWUupnMfazJnS3A/XBn//NzHzhknzMODwyX+qGs8U5frkAMF0GKawo8efRtxS2WZ9Xpt1kiIYcqB6yALamWWy+VZdKFa3EXJkYBekohMjgour2C/KJ7zyGk8q16vV+KQSVu5JqNy2QffQrMVcx3BJQPyvPyuPM87B36fXG9D1r2E3wyZmwPxLmUeUuiAcZzrfNGGoHPmdcVxfKDXQk4GDk3/pcm/2jFND+d6TJOlvXzt4eHhcXloI0e2KXNp9R6zLm0CGdNMO1a331WZrupF3lt+HjkAIYchlgWR3b5g09FX2WFtMcFt9gfbvWE30eIOPj4+qvLkw8PDgfyJ/FZcXs/zvLTuwbE0TQ/kepvd/tSw8eslTh1fkCMIgpKuGPs8h7WMMY8YgxzT6bRUBnpwHIP9EvI0rwN5iqW+R9qcXWIVyjqkrVnrax4eHh6vHTIeuMbT0uZmyanQfIFd5DlNttBkBMm/0LglMma6Jp/IfAVE1THRTwFpU9Xso5ouRs5tWpwIba6StlrN7qrZfyUXTD63vJfUUWnP52OkeXh4eHh4eACaPKfJnRoXVcuVo3F+pQypyboaT9f12aQcKWVNTR6Vz67Jp6eAJgNKOVHKd22u0WTANtfU6XVcrvH2TQ8PDw8PDw9XnMom/tJlXK87p3/suWzsl1jG5lPj4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHhoSMo3mqkZg8PDw8PDw8PDw8PDw8PDw8PDw8PD493Bum8XbdPdOjwIp1iNEdu6ZiuBUSSzt6as7l0IteeTwZX1JzGzxU4k+gwgN5oNDJJwoh052wZTEhzLpcO3FoQbOk0owW7lkGHNOcb+RtkQCSX3+Dh4eHh4eHhAZwiOPpLBWV3TUykBf/uGqcIpP5SAdxd6nBJzuzh4eFx6eD6CRlMj+tfqs7JuafNOanLaXvuFJCJCKROQuo6pA5FCywt55Bj70F0qDuROpm6wNGazsbDDVLWkvpDGUxd9gupO5QB2aWOUguaKfWlp36mU6CuTWqJQ1wCubsE+umybtm/29bt4eHh8Zoh5yo+71Sdk7Y7brfb7/f0+Phoyi4WC9put7Tdbmm/35skyJiz8jynoigO7Hi73Y5Wq5WRgbMso/V6bebNPM9pu92aINZIVHzqRCXcTnZq+yFP5Iz7ItEXf47hcFiSUYme51A5z3G5NAxD6vf7Zu7DPpKI8XtrdkUtWLSWJEWzAUq7JZGuu5Fys2ZjPBek/VrKaNJ23SbYuaxTk+uk3drFri6Dvcs1oyaznivpj7a2kd9dtiGtPcr2I9tim+Dsmtwn14Muzy/t/ZrM6eHh4eHRDnK+kvOxnFvlvCl1LHKOlPN3mqZ0f39v9ne7Hc3nc3PPLMtouVzSfr+nPM8pz3Mzl+MYl3f3+32pfnkez3xuuNjTzmHLtEHKoEEQUL/fP0h+QvQ8V8dxTL1e70BWQCJdjru7u4Njg8FAlUFtyVOk7FIUBW02m5J8ju/a6/VoMpmU1jlEz22Jy8tpmtJut6MkSSgMQ9put6W2G4ZhaR9tCzJInudGRuz3+9Tv9w9kUSlnShlS9i/Zn2wJq7uEfLdS5pPfRMqNLvYAyY2UMqNcyxz7TESHsqxPzOPxHsHnZGzb/p+ijJYkzRVYS8r/2rlTHtN0LR6vH5rfg5YY2iWhtJY0UNooNV8MjdvG+0yWZZSm6cF1i8Xi4DouO/Pnkr8HZaXuNcuygzpfClqSEsilmqzc6/WoKIrSWBMEgZE7six7URnbBaPRyMgs/NmJqKTr4ufCMCzpzrhcniTJgX8J3mvVmKbZfCXqeIIufIu6cdVFx1fnH+Oi79Z07hJSHynh5UuPl4Jme2hyXrN3uJzHGnq1WtH9/T1tt1sz/2Ab6+rZbFY6t9/vTRmuF9rv97Tb7cx//OV5bmyT8q8NsGbnYyL+Ywzl5zCv4HgQBGY7yzLabrfmGB+fgyCg/X5Pm82mdIz/P1dC3lOhbpzW1uddnq+ba+rO143dx56vm0/rztfNT1Vzk7SbcWj2vCpoSbBtvDlt3Wdr55rMDdgSA2qye9VzElXzaav6IOdi8PEmz3Oaz+eGf8Hvs9lsSjwQjtVqVboG//M8vxj52wVcRtd4HFw+1M7zcbIoCmsZXocrX6SqnA/R+ww5D9WVI3r+5lr5qrVAEAQUx3HlfTB3cshrMF/X3UdbDxRFQXmeUxiGah1JklCe59Tr9dQ1CbhRRGTqCMPQ3At8LDyH5BIRUUk/oD1HmqbU7/fN75bPkaZpqe3K95GmaaWuDXKU9mxEX+Wyquu5bU4CMpscFzjfTOpIUAZrd5yXfRRltHH9NUG2c9knoOPQzmO85DoCrY4oiigIAmMzldDaN3+vtgSxkMEh42oAD7EKQRDQer1+s+Owi+7DVfaStjMNLvrpKjkQaPrcVesvbgPkHFOO8Xhcem5psyV6lo3leC7lPq29FkVRkueCIDiQsXe7nZHTcF9ZZr1eq7+Rt11N/sX6Eufr5LrVamXekTbG5Xmuyqdc56mN3/J9rtfrEt9Xuw/6r5RPAXAv3hLq+lgXeKvj3VuHXKfgWBVcy3Xd7nDfurWXfIZTt80u6+/6WX2/9DgG55g75DrgmOtPXaZJubprm/TNpuMY9PdFUTR6Xi77uFzH9Vau92lyjyZ6Ma1+F+Aers/P1/0edsj1vgts6x0buB3L9ZlcYwBpzy/lJbSDKr1BXZ0c+/2+JOe41ltVJ9dLaToaW/229yR1Xdw2WAfbOAZ7Ksrw/xp4HbZyfN3p8XagfW+bDCF17FzHj7Yv9+W1vV7PcOmbzv2abkYD18EDYRha9dl10PwVXBAEQS1fyAZuM2iCKIpoPB43niuAttykts9L9Px+2zxvEARne17XtndpeGlOch0f7pRoylvoGi/N9XPR5Z8S0n/Hw+MtA1wj23/Ea1mtVjSbzWiz2dDDwwNlWUZfvnwxvCP4EG42G0rT1NiettstpWla4kXmed7K1i311G2gyXddruWHw6FZCw2HQyMzDgYDI5PFcUyj0cjEU5lOp8auzecePhZxLjjnzHG7ppw7JH+c89old9zHEPTw8HiL4Hxd+Ltxviz3AeB+bJyHy/3VuV8b5/fyGBPcP67unl3F5+Sxh/jcAZ4N91/n4z/nuPN5gK8F+JzD5xW+VnO5Z5Zl9Pj4SIvFgpbLJS2XS3p4eKDlcmmOYX+1WtF8PqfZbEar1YpWqxU9PDyY7Sq/DjzbaDSi8XhMNzc3NBqNaDQa0fX1NU0mExqNRjSZTOj6+tqcu7m5ofF4TOPxWD3n8frB+xvv77xPSj495+pzn1nez3n/5zx9PkZwX1qMKeDGgzeYpqkZa+CD1BUgi+L5eRy/oihKOk7wgLl/EM5JLmwQBLTb7Uq2C3BawT3Guf1+f6CXz7LsLPHkzgXJZeV6XM5tlvYgrnvhPGrO3UYcGCCKolI53CuO45LvUhRFJX8wlMNYh28bRZGqf3Pha55Sf/WW8sV1GauyzsfRBdJ/P01T0x83m01pG31XbmPtz7n6m83GjI+8vK0MdA4og+O27c1m0wnHifchuY17YY1ORGaclPfm4yfGzu12W7I78f6O80Rleyu2oTsBZP+r8i+7BPR6PRoOh0b+xV8YhqV98PmzLKu190dRRHEcGxsMdCqDwYAmk4k53u/3KUkS+vDhg9HFIKbAeDw+0DPbfD21eACaX6PWp11ie/q8RK8Tct2m+WDKOCmyv8o4aKeoU47tWp3Sp1XWeWo/7sFgUJJvxuOx+Y1xHBtZJcuyAxkJgGybZZmJiYfz2+22VBbxrPk+1vSSUwSZYz6fH8hrvE7ou21wmafr4iq/dn/6twDMPxpcZBGs8TyH8G3iGL8I7VwTf+/XzPfHOC95WZD1ABn7kvOVMD7L40AYhjQcDlVeTFWsijbnLvmal+ZZeJwXrjoCV1uEqxziGudXizGowRb/RMI1NqeMf6jBNVehFgNRou75UQdi+nEZAevk1WpleOJShgCPlOdZ1OYI7hf83tDEz0Ne95rnV4/jYeOWc9uI5JRzfT/+83gs3P8I21hj8rECvunwi+/KXsLXsNxnjI8dPM6JK2Q/O1XfwXodfHnIfsPhkK6urujq6oqm0yl98803dHd3R9fX13Rzc0OfPn0y+ygzHo9Pxn99eHig9XpN6/XacOpgx14sFrRer2vt3fP53NjGbfHDANit8dtstvCqc0VR0L/8y7/Qv//7v9Pf/M3f0L/927/RH/7wh5O8n0tHnV6N6FCekPO9rEOTy2Qddbo4rY46HaGMMeeSl7YrQD+P34j1CcbEOI6N7AMbKGS5MAxLclG/3y/ZT2T8DplzoosxCGMN7oln0nxu+bjJ7d84duwYzu+JOQjbuDfkxDa+tBxVftptZMmmuo6uAF0y1r9JklAQBJQkCRVFYXi60CUPBgOzj7wqiMe2Xq+NbS+KIloul+Y7IG8Kvsl2u6X7+3tar9cmvizaCr5jVzHA2vqZ82vx3FzuPfX3gd0OOtbBYFCaj66uruj29pam0yl9+PCB7u7u6Pb2lj58+ECfPn0y8xjmNZ/b4LLx8PBAf/7zn+nh4cH575dffjloh4PBgG5vb0t/P/zwA3369OngOP4+ffrUeXyLH3/8kYiIfvrpp07rvb+/py9fvpg/vo/t33//vXRMiyF7c3Nj+o3t7/b29uBYWz9Uj9MBPFlwZ3/++WfTRz5//kyPj480n8/p4eGB7u/vDb92tVrRer02MS81Pl7XkHMKR9v5qau5iOemGI1GZq7e7/eGBwX5AHPQYDAozS+73a4ki3H9GuqBTg+cH6zhEZcOfMlzxQLtYn0uZUJeR9vvI2NsyHokV+ZYPSaPZ8jzaUM3A/ksyzLzXIgVyr+VS3xQV8B2xf3xIZsGQUBZlpX4aHmem9+Q53npu8gY3vwZeUxEonIc3C4h49xL+5PkQEnZTcaJl/VxP4Mu65D+wPK5XerwKOO///u/6Z/+6Z/oP//zP+mv//qv6R/+4R8oDENaLBb09PRk9F2Pj48v4gcyHA7p9vbW2IlxzXA4pOvr6855yNDF4Dc9PT3Rb7/9Rr/++is9Pj6a/YeHB5rNZvT4+Gh8ceGLxOfxU9l1jp0vpF4c/zU98zHgXFuZy5X7IXBdvIz/hfHeFgvc24E83gs4H8emA+SceX4NkCTJgQ8MwPnb2Ofn0Z8RI4jLPZDTiMj41VfxWup8WOry0bj4bdTND64+Mq6xWFznIxeeeZd+KR7vC1U8GRu/p801VTnfbP4wba6p4kxJux7PhySvgY1ntVodrK1gA9J0dUVR0HK5VGWQLMtOnj+9LfiYDHCZS7NNQO7TbA0ax+kto84uZpu/3vp78fBoAi2/CkcQBMbv2danhsPhQR18TRkEQa0sd319bWRSqduFvyN8AqUuDmNfkiSleWC325n9KIpK59I0NX6oPO9ekiSlPDSSQ7ZarQx3APG88BuXy6W5ruuYBBokb13q2TQZWsZtlLo7Hh+F6FDWlzGwpK+mptuTMrW8h1yPSJneJQ+0x2VC+uppXHctl6dNFtU46zzWED/28PBAu93O8AnX6zU9PT2ZvE/4g5yK2HuIzcf9zjXAz5rnAwbvCXwizlvBc3E9Qa/XOxmHrGvwvq3ZsMArBbhMmue54bRxzhXPRcXz1vHjsClxjhvXO4LrFgRByU7blc2WxwTh24PBwGzzWNK27cFgYObQwWBgrh8Oh+Y43+ZjILZ5bOQ4junm5qbEs2sSy/hcegzJs3yraPM7XX11XMoVRUH39/elPOvom7K/zGYzMy5r/HmU4zINH8e5DaUoihJvlPc5HquCx2+XfjnH8i7PCfgqcPs75gK5BuW2cj5OYpwDNHs956rincKuzd9pmqYlm3uXtmkpu3NZ7urqSo2lx+U7W0xWLrtymZLLsFx+5WOVlDG5vtrHCXlb0Hw7VqsVLZfLkn/I09MTLRYLWq1WtTbyKlxdXRn/FsQ5HI1GNJ1O6erqqmQjn0wmJk7O7e2tiRHG921ra1tMzCZxMLmPQ9N4m5A5uZzNfTW6iqGB9aZLLE0+JvA1YZOYnXzM4GOJS90eHh4erwHSr07qVeR6gfvLSZsd1z9w/QqfR/j8An0NeJGz2cyswTHHwC4HHhD4V9DtdsUBPYWd51gOVxzHJh9Wv9+nwWBAURRRFEU0HA4piiIajUYUxzENh0PDtYvj2MyXnz59IiKiDx8+lHjUmK8gW8j/Hh4eHh7vA13ENfY4L6p4VsdisVi0snlkWabyq6ownU4pCAJarVat5LmiKJzaLmKGbrdbI9POZjNaLpfGFwfnuC0RdjzY+1AGOW+RY0v6mnH7Ebhnx/h9HSOLcp4vj/uHY3EcG9sYbJE8hxauh84adUBWhH8+0Ve9NnTW0ItwLrELNHvsMdDsw8fgFGNm1zZc19hsHh4vDe4bStQsFmsbNLEVto1d0NSO+1psly+JNna5Y215Vddr30zab4+NfeFyvW2cP+be0lfv1Khq/6fQ0bW5tqnfve/THu8BTWOtH3OfNuN501jx6LfadZx3CfC5XvPhlHXXxdqwldfqlnnUOc+n7ndrsY2rIGMlc2ixZ+ryDMlneUu56boEvmVXsu9bgow9YAOPV2AD+HZ15aTvtLwP33Z5NuhJNH8+3vdtcfayLDO/j8fN5PVIGZE/G7Y13p+0CUpdFues8zLaOMG/AcYG7f3gG+z3e+uYwGOYVukO0Xdc9Ekuvp5V8U3xjm1x3znnkvsF1a0jzhGn6lLhOt+7lNPm9TbrDpdrm8x7x5z3eF2Q81WVrCmvqdNbcb1+lWwH+VXGLJNlXPRkLjJkUznT47TgOftsaxzEY9YA+48WA0aujUajkWmTNlkNfF6bTAV5YDKZHMg2sF8BrnFfXPhOrv5NLnmeXGPW1cXGAaQfroaqnFUcLjmnPV4XYEPltlSXY23PaceOyZuMtiv/a+ealnetS/q2e3hUoanPS10eWo6mnB9XDoVLbrY6boLLs7nkbXPJi+fyjut+e1EUNJ/PrWMTdBNaLCkpE3P/Vpu8vFwuX806DrZ47Xm5P6mEzV7I9dG87CXpesGtl8+PfNlSZgUHXx4Ht17Ww33sgV6vR3d3dwfziy1WiYybQqTLlNr1mhyoyb/afCflTB9LxcMGxBLk84F2DHIh59Fpx+CDpB3j8wnmUe1YG6Af87YO/xn0Jb7OxPoJfQp9la8f0bewVuS+pehj8h4eHu8RmvwmZVAtDpSUZaWsKOVLTW6VdUgerVzTymeVXGMp92qxWF1k8GNxdXVl5JWiKGg0GpVkksFgYHKz5XlOURSV9FBhGNJoNDI+mL1erySPbLfbgzjKo9GoFEMmjmNzz9VqZXKJAr1er/RuYeMrisJ8Ny6z5HluYtfCLok8gXjnnLPAY8By3TdifOE4AN6//DZd+p92AY3rIeXxl4qPE4bhgZyJOF/8+XhsckCLzT0YDEoxCome2zbXvyKPBNrWKeIcSvlZ3kOT1z08PDw8zg8Zz0LTNcr4e1LG1OTFLurVZMJT1XsqyPlP003JOVPTJcl59lT1StmiTb3Hxr/U7GPaMS1HwzHHbPFu5bHFYnHQ5hA7TZbj12ZZRmmamvtiTQG5mfNBEDOXy6ZdxyB0RVcc2zpgXYN7En3Nz85jvYIvCb9b7o/b6/VoNBpREARGzoU/NeoejUYlWTtJEhNrHXp+LvfK9ix5DVwmlv2Sx030sq+Hh4fH4bzqOve+hutc6z5H/G45Hx27f4o6u7iHjzfq4eHh4eHh0QR18lsbme+Sr7HlNj0FziH7XdI1Lj4vHh4eHh4eHh7Spq35BJ2qjBaztasy0mbrUuaU0Hhz0sdXKyNzn3VVRrMHdlWmji/g4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eFRhaB4LVHcPDw8PDw8PDw8PDw8PDw8PDw8PDw8PFqiqcPua9uXjh+nQhfOuOcs01W9Lgn4PDw8PDw8PN4XZCIVLZi1TPIkA2Brjrgy2Yp0zD3VfWUQRBmcxiX5YReQTrRa4GskogKk7KYlzJDOujJAjEy6QXSYZEMGN5TOxVrAbekALBMo+4R1rxPnCBpaB9ckqqeENpa8BGQirJeAlvTr3DhnUoUqNNFPZFlWmuN4UquqczIQvzy3Xq/NtXwuQzJGfp3LOSR2BNI0LT1n10lje71eaZ6L49gEydDOAf1+v3SOJ31FYH2XOqMoMn1KnpP7PNA/v56jK33KqcebS0qeJpHneWmc4wnk6s7vdjuT7FTWydsuTz6n3YMnyHApr52vKk9EJx/LkSy66hiSW+AZZSI7bZ/LmC7lq65vU4f2G7TE1+fCpSUj9PDoAnIM9Hgd4POOTDpate16nZzbmtRpe06X468Bcl6qOq+V187Lua/peY6689rcK88PBoOSXHwMIA+cepzR2qKU95qet+1XXYtt+Xt5XTIJmotseeo+UyU32o5pbRPncVy7pmpf1sOPVZ3Hs/T7fUqSxFoHP4bkby8JJNW+BCDxXRXiOH6zyXEugSsxHo8P2u05EIbhi9zXBi1Z+WvGZDJ58bGmK7h+m6IoSrrH7XZrdCJ5nh/oM2UQYBnw17a/2+1K9WFMxX6WZQf7eB6MvUEQmPNc18TnduzzZz712M3bzLnnCSRF5Yii6GCOGA6HB3O6DCIchqHKV5MJLqbT6YGtUdYVx/HBdcPh8OC5pE1Se4YkSSiOY9put6b94Tfz9rjdbo18QfSsN+ftUe5vt9sDnVGWZSW5kCfwddnfbrcH56Vdocn+KYAEuK77OMbHk8FgcNR+02eQ93e5h2ynlw7PBfV4TYAtHBwecHe4bViWAa8oz3N6enoioq8cB3CQ0jSl1WrlVKYpwJMBLwc8IM6pAYcH/RH8G5cyRF/5PODgcG6RTxh1ekhuAm9HRIdcEpk4Q+5r3BONE8O5IZvNhvI8N9fBbs/lBciqq9XKyKmQg8GBg14J9i2ut0rT1JTnz3VOaOvRfr9fek4uH780d4boUBYmepY7ZQIPouc5WcrXYRge8P6InuUN2bfDMKSbmxtVDpEcPVmXTb8r+YL8XjaOX1VCkHPey8PDw0MD5lk+f4Pfx/noDw8PRPSVs8454+C1Q97kczlkSMzdfF7H3N2WW8nHQ8iGGN85TxzyJ8bIqnNc3sQYDTmTy5Tgi2uJoV4L6t573fk6jvKx5+uS6B57vi4xWt159BPJhQXnbbVamXOa7XO1Wqn1Q7e6Xq9LspvUc0Le9WgOjXOA96vJ10VRqHaKKt2ztJW/JgRBUGmb6ff7Bz41uA76cW1cxPkqOZyoXi/nOu5qSQI1uMrPdc8NuOocuN+Rphvn5fr9/kGySYkoimq5+U9PT5X21M1mY8ZlzHsSkAdscPFfuYQ6XHwqzlHHa4KLX9vNzU2J84NtjKPD4dDMXTiPeTMIAgrDsGQXwrksywxPKMsy80f01Y4k7ZGuvwl/GHfCMKQoiigMQ+N3ARsv+izOYxvjTRRFpTJ5nlPr78A6AAAgAElEQVS/36fxeEzD4ZDiODb1RVFE2+2W8jyn0Wik6i2gr7KNeev1mvb7vXUMw3nbmFon60nfVIk6H9I6XzKpL5Rw6WPSv1biEvz62iJJEgrDUP196E9EuszB2yjKcD2hNk8VRUH7/Z6iKLLOE5KvJwHuDNq2vJa3c/hf4fk1nhrmR8mNk5xDyPy2d0X03B9eq2xWB7yfY37fa+0nHLKNEeltQmtrtnKoF2VkOW1dob1LlKvis9pkb1fe6yXo/T3q0YT/1hVXrm09ss1zPjPHObjZl44qnwc+ltjKQQ7mZbANXjr+4jg2dVbxbyDjSsjv1ev1DmRFTYeV5/mBrc427vBykOfzPD/gV3OfZttaFtf1er0D/pgEbKMop5VFXba1A94PfDaqxlbITJB7bHJIEAS03+/V5+HXSR9eG1BXVb+re3YiMu/qrcNlDKyTcW11vWbd37nBxzkXyDgHsi753vv9fsnXm6hab8t9fly+oc2PS/OH0uQ+7Tr+e7TytjED13B9SxWqnqfu2qZjRJN+pPlPnrM/+b7r4XE8zhGjwlZ/0z7sMu672ACr9E5VOGbMcbm26zHNj5Hdok0/ObZvvQU9n4dHG2ixRI+BK9fAFV37LVRxjtvAxlNug66/RVNeHmID8j/YXDebDQVBYHxpd7ud4TLK/9vtlvb7vfE9gH2a+xm4rs1eGtD/9ft9sw27dRAENBqNjI0c3En4rkZRVLKDc77AdDo1du/xeGzW8rCL4z6waYZhaL5lEAT0xz/+0dR1fX3tPAd23T89PDw8PN4GOMeJ86E4j5xzwnksfs4tAieRc5Y4/4lzpWz3XC6XtF6vjf8t7FKSE94FYPuCXh1xosB1Q3yIwWBAcRyb+Xs6nRqe7rfffms4tN9++y0RlTm8kBX5HAx5tGvZ7z2Dty3eVtEmeXuD/wJvp9zHG+2bc/Nms5lpo09PT7Tb7SjLMlosFpRlmfG1hT8t7I1d+cjyeExcXydjtHFbiLT5nirWx3g8PrBjjUajA764JodqnFrub8Qh810QHeavINK56i95b5c1meSRck4nH4elvzgffznX2rWc5KdKv3K0X8lTtZXrAvK78HfP368cP3leEl6O50E59bbH+wLvVy7bvF+7bHM/j7ptPp/Zto8BHxv5mMblnZubG8NRQp8YDodGn3d1dWU4yEmSGP0R9Eb9ft/MtVmWmfgt+/2eZrMZbTYb4z9YxWWWepjRaGR0K8Ph0Ohv4N8AeQ9/WZZRkiQlvoXGs9d8LW2cfy2fizZ2dvW9mkDqXLW5sS7flMs1LrmiznHNW8tRxdsml3+lXMHHDZ7PRvq5yLaqtUnN90VrzzJvTp7n9PDwUOpLWZYd+PilaWrq4rLQOXIEc2i2A4wL3LeL8480aHGcu4YWSxnPVRVnuSoniIzjHASBaRuci6vFgt7tdqUyWrzxoiic1iaITWTzK+DvFuuz94A6DiF4hlXtDXoQ6HW0+hAf29b/eB+o4u2i7qoYBZcMxFkj0uPtc/64PD8YDAx3m1+DctyPkcfbgm+5HIv4u06SRP1uiAUmfUe5rQ59i9vwJOBXBF4p2gM/Dj0F6pMcd8Tn43VCV3GOXJxNYJMRNF2CZrPW7M43Nzelb6TpAKW+YLvdqjGWtXhh19fXJiYN0XO70eLeutiIISdzTCYTM87LnKx1qPN11dBGt9A0b+IlPlddDBbA5Rvg99XJG0VR0NPTU619viiKi8iPeS4gL2Ad35HLSVwOtPlKarKi5MDb5EkX7mWT868RfBzV3rHtnIfub9Bl3VgTceDYsffsoo4299T+y995jjXHcDg08z5iZ+AZ+v2+ibtRFAXFcWzsQJDDdrtdSdaHnIY1E+Q/mYPBBVzegx6t3++X/I/wbOdan+GZEDsZ8d2vr69pOp3SaDSim5sburu7o8lkQjc3N/Tdd9/R3d1d6dhoNKLxeHwSm+18Pqf1ek2LxYKenp5ovV7TarWix8dHWq1WtF6vS9tPT0+0WCxovV7TfD6n+XxOq9WKlstl6foqTKdTGg6HNJlM6Pr6mkajkXkX4/GYRqMRTadTurq6Mudub2/Ne9DONYW0U/3Xf/0X/eM//iNtt1v653/+Z/rbv/1bIiI1BrcWW0iTm7S8zZosJvW7ms5LkxXlbyDS48Zov0HGcWoqU7cFdPP4veAxop9irYl9KQMVRVFa1+33eyP/QJ+Dfsd1Mb1ez5qbOs/zk8SK4mtqrFEhV2GtjnEK42JRFBRFkeEB4N3wbyPzfRwLvGO+piYqr5Exzu/3e3MMsaGOyT8jOQVyXuNyaFu9pYsP0SmhzeFcluDv9pTg+iOir37zeK+8n6Ht4fsSlf1rMa7xeGBtgTbHeVG8v+MP87fre+pSFkcfwRw+GAxoNBrRZDIxc9FkMqGPHz/S9fU1XV1d0XfffUfffPONmeNubm5oMpnQeDx+tTFs3zvW6zXd399b/758+aIe12K5TSYTI+vd3d3Rhw8f6MOHD6Vj8viHDx869Sk5Bj/++CMREf30008v/CTPejG8+y9fvpi/qm91f3+v6tKm0+nB+5ffRPvzOU9eD9brNS2XS5rNZjSfz2m5XNLj4yN9/vyZPn/+TE9PT/T09ERfvnyh+XxOi8WCFouF4YJgDcBtF+cE5kopsxGRsZNymbLJvKmB+ybJuEd4DtwT4LI34oQCRVGcPD4rt5VzvER8i6585mWd0rbNeQHHtEnMMVwe4/Ih1lvY5zGh2sSDlRgMBoY7AF0SbJGQBeM4Nu0a6xduR8Y5HtuKx7ft2g6MvAZEz99hOByWOBB8zcdtpnmel+Z0LpPj3eN3YW2cpmlJ779arUo8CPDbgN1udxa7N+fCEh3aJ6WNked/ALRY5LJeokObplaXZkvVeNEaf1p7Dhfbqsbl/o//+A/6+7//e8qyjP71X/+V/u7v/o7aguvcoJtbrVZGN7darYw+D+ceHx9puVzSarWi+XxOs9msdK6qv+Idcr3d1dWVyYl6fX1Nw+HQrHH49mg0ouFwSNfX1yYW89XVlcphb4vFYkHL5dK8j+VySb///jvd39/Tb7/9Rg8PDzSbzejh4cG8I7wDxF5HrNu62HZdAXOmjCsIXUuWZZXx8aoAfyIeRxv1Y/zEWIFY2CiDObrX6xkdGcYjyMpBEBh+7KnAx0v8foz3+OPzO+e4SX9vGQ/d2+XOA1c/cc2G6r9RO9Tx8fj/Ktt1FQfg3HbHlwZ4/HVwyW0MGcUW412Wq4Nr3A3X2CaanCVh81U79bMRHcpadWiTp7HpPdrEuXBpA6eCtP1pdkQXPn3XdUk5VPNnkXWBvy91G8vlUtUvbDYbdR10jpz0TRAEgRoPGroeHtuGn+OykG0O1Xjxmk2KzxeaHVLiGDvgS0HyhCXANbZx/3GtFgea2zaJDu17sv/zWNG28efcPiinhJYHQkPdfMT9YAD5/vB9pL+IrId/Z9s34Pz4unnCFv/coz00fh8/91JjkNRnwP8F2xgvtFzbso0jtxX/rXI/CMq5hOA3quXn5vdEPkDIRVx24b6nXJ8ZhqGJM4JyVXbIpnJX09h7TWPrNZG3pHyrca8kj0tywjQ5SMo3kjMmuVsaD0zKOue67zlgi2eg8fs0/aHW5rifC+IF7nY7kw8P8VPAG4NdiusFYbsCt7EuFwU4HtCVok9hfQj/ljAMaTKZmG3kkoSvFveR5bGRwKOF39JutzPfb7lcGp3dbDar9f9vC95H+DZft/Jt/h24Tp5v8+/P1458m6+1+Db/9lyX75o/1ONtgY/PfLtpfAyb3zrn1Mr5gY/RrrFsus5XyvuD1CVxHQ8vJ30CbfFvquLk8Hlcjudcr8J1ZS5xbDR9gaZX0OY/Ij1vrcbF1uJqaJxqm++e5u+mccM1TnbVs8vxej6fn0z3yrnKRGRsRtxuxNc/Mq8sUTe8UGA0Gpm1ItodeJi9Xs/EAYvj2LRf+BAQfW3vvB/wdo/zvP3XnffzynnAdYC8bz48PBj+FviV9/f3xi7+8PBg+u1sNjMyUpqmRgeIuNI8BrUNkqPeBZ8YbZGPp1ym4W2Mj5d87cPHXsjJtrq5HMXbNx+zuVztYgvw8PDw8Hjf4DG5pGzM11N8bcTncy7La3WBv7hYLIzOBroYzOtFUdB8Pjd2KsjXaZqae3YZL/TU4P5QXEcURVFJjzSdTk0OCMjFiIOL2NE3NzeUJInh5yFvBGJMoyxkCW3Ncwxc4oC4ouu4r9rasC209WNbtIkPUwVtDd0Vuvy+TdB1O22CpvF+uoJNT3AOnLINVa2ptDiNHh4eHh7t0ITjyMvbYlC63qcpL1zj99jqqotZJvXXdfXJ57CVca2T6w7r3kPVfOgSm+1YvISfpIeHhxskv7QKbfpw237vxwuPl0BTeUaDb7seHqdDF330EuDHCR0u31fGLOHHOGTuD8nflvxv7svDuff8HuA2wD+ex9og+sp9QqwRokO/kDiOVR4/953nsXI5ttstFUVh8kJpgD9+lU8h4rHYOPBxHBuesAT3G5A8LcQElOXrYrrack/JZ3bhlbvYElzilbrEsu+ad3lJQJ54InvszH6/T8PhsHI8Q6xnG/AdbP4e/DvFcXzQvuQ3km0QfUY+N9o2bL8SsJ+maVrZnmy5fYA0TU2sUw0y1s57Ac8Ly32G8B9jdq/XMzFJ+LiM//CvxzflZeI4piAI6Pb2thTThPvH1vmju7TfqvObzaYU61xit9tRFEWVekEZ11aCx67SEIZh5RicJInx/eCA/wq268Zx5OGw+fLa/KeB3W5Xa6dbr9cHNkTe/2SuHlsdb6XPoY3bgPZuA5drND9kokNf26I4jIPP4+5y4FvVyXausZOKwi3v2msAxiRAi6nCfcQ1wJ9fQxXXmPuLXyqCIDBjq2w/PM8Tl/W5bwnmDHCVeL3g40t5AjHGJLT4LLa5w+a/qvmR2vxXTnU/D4+2wHpH/tfONS3vWldb3hTvI9iW/7VzTcvX1dUm34iHh8dlo0oXVMXrrdIzVfElq85V6beqxs8q3VmV3z/nQBdFYZ6rKArDQZZrhjzPaT6fH+hHiZ7XAovFQr0f5+ZzoP5Lyc9r832T8pgmo2vv5NSADyxHHMcH8WUGg0FJP0NEJZkbOnAeuw+xYLiMGsdxyXcQMVtdYiRr8Q01OVrzs9Vif0g52ZZD1+NlwH16MH5pxzifH2OZdgzjMc5x2wLGToznnC/fJvYJ9/tGO8baDj61vD3DbxZtl7dryI7oI+hTLvfw8PA4P6RceOz+Kers4p7n8GeSMkTTfZcyMt4d8rUhV4/UJRKVZT34Q67XayODI4cr0bO8z+PT4zzshLgn5BFtzuFyOmJPcNs4cuBifsQxacNB7kouM+MYXz/gGP++iHV2bi6LzFeDY+eIzc+5D3gG3nbA3eA5jiAvE5HJAYhvj33UgbaH+R4cDeh8cV7Kq1KmlXKvlAGkfKvplb3u+O2iSz/jl8JL+rG+NrxlntK50HXcgC6AOFR8X4sVV1cG+YtsZeT5tmVkO0Q8Vfks/JhW72q1OvlcjzgZANbStvPnKr/f7ylNUxPLg5+X+/x6qd/jMua5ABm07thutzs4pul2t9ttSU6VdeEa5EMn+sofQl0ybxfyvoMLA44r9hEfhsubXN+t7fOY76fEKeOXcx4R+BM8LjnOSW5zFEUH+mMuH/O43ZzT0e/3S7w5xJohIsMJBMCpxrNx2TeKopI+uWk+Fw8PDw+PMqAP62rfVoboa24MKRvudrtG+6iD36OuTq6XOxXqZDkcq5LnXORBTT7k8+OpZVoiene2KB8H97Romm/vUnBJHAPXnIzngtc9e3h42HAOm/mlX3MqnMKmfsnX+FwcHh4eHh4eHm3RhZz3WsucK37/sfzPqv1T1u2y7/WEHh4eHh4eHh4eHh4eHh4eHh4eHh4eHu0RFD77hoeHh4eHh4eHh4eHh4eHh4eHh4fHu4EktfMEGjLxbN0+UTkhhrYvg/rW7UuCvdyXwZflvkvC22MgyexJkpSSYsp9GZC2bl8md5D7MpiC3OcB8rV9LaGETEThA+l7eHh4eHh4uMA1YdBmszHyJ9/m+wh2LhM28P00Ta3neF28PALmbjabgyDQ/FoZzBnnIYfKuk4pbwK2gHM8kfUxgfOQXEMmapZJQmTQW14mz3Pa7XYUhmEpEDESpfE6ZOIzft8sy0rJL7oKfl8UBc1mM2sywSZAcq0m97a1kyzLOgt6IwNKnzLBngwwKXEO+lGe568+wYOHx6lxisCRnl7o4eHh4eHh4dEefL17CXgp2c7LlB4eHh4eHh4eHh4eHh4eHh6XiUvSXb00jn0XTXVgp9aZufyeqjJStynLnrrtnKr+Y+rlicQl5Pes+r4uZavKuJRvcr+6tvie9LtV7ZwnmNeu0473er3avsOT08tj2vU4Ls9VlXV5Lu0ZgiBQr7cdt4HzByXn8bUgiiLnJBj4PpeAOI4bP0sQBC/uTxTH8atMOvJSzz0ej49qc0mSHHB8XwPiOL7o546iyPQlJHTf7XYUBAFlWWb4v/iPP3CebeeaHm/z3BinwV3nidnrzsVxTIPBgJIkMftxHFOSJKXrcCyKotK5JEloMBhc9LeVkL6brxnr9brUboqioMVioZYZDAbGt0Fy/9fr9QG/va4M6imKQvUB2e12lOc5LZdLc81+v6fNZlN65v1+XypD9OwLIn/Xer0uybm73e4sPiIaMHfw54EsVhTFwfFT+gscgyAIrHIeP87l0CiKqNfrUVEUB7ItzvFvFwQBJUliymZZZnzLoygq1YG21Ov11Pl5u91Wrg9tPgtBEFT6lbQdf18SNzc31ndRlZS4bvyTfuscdT7st7e31nOj0cjMHU2fqSq5nYwN0OSZxuOxtf3LGABNnklLJO3xOqDF45BYrVaV/lFFUdCvv/5qfBwxJ2I/TVOazWa0XC5pu92aMvhD2dlsZpUZib7Ot1xmRZk2c2MYhqU/rJHDMDRtHXqCfr9PeZ6bsZqP2f1+n/r9Pm02G1MHyvD1z2q1MsekvmO73R7IBRx1Se0Xi8WrG9OBuvGjatwiqk8GWjUm1o3FdXNA1dxDRDSZTA58XTmur69pu92q8lIQBHR9fX3gHwz5MIoiGg6Hpj/IOT+KIsqyjJbLZUlG22w2lOe5kY/Rp2Qf6vV6RuYF9vu96Y+QfbIsU8eHxWJRiqsD7HY72mw2B+eyLDN183NFUZTaNvdXzrLsQB+c53mpDIeUVz3eH6rGCj4m83LonzZ9tst6p67dvdbxW0OdrhY6GJtM3+v1KuVcouexl6+1JMIwrK1jMpmYtZxWD3Q+RM9jjSZn1OlXoIsg+jp2c/T7/dJzQhfHZQepd1qtVqU21+/3S/NQnucHupHhcFiqU8a7kHEaiOhANuT3qJMd8zynp6enRuf3+z0VRWHe9Ww2M/oEjOn4v9/vab1em/eA4/hDHeh3fOzn5V4rgiAw7Ub7Hb1e7+B78XK9Xk9do+Id93q9Srmrzt8I/YpI11XIOCFEVJKFgiCwjtXQt1XZF6DP5no82/NnWXYgP9l+32w2s97zLaBOFwBU6WSAOtmdyC1WYBAEdHNzQ0RUigsjMZlMKAxDE0dGAx/T0zRV+06/3zfPtN/vrXWNx2PTvjSdW5qmJXsQl7N5u+R9bb/fW+PVxHFcWg/L97DdbikMQ/NdtGeHzIy+UxSFKo8jlg8AWV/WxZ8hz3N1jsR1GFu0dQEfnzS5npfDvTy6A3T3+G8r0wWkPr2urIeHx/Hoov/6/ujxGtG27be5Ttp5XeFlGg+P8+FcPidVXO2q8i7l+Dru2HrBdZFl6+q26cU1HZvU2VTp4TjvnKh6fNSeQaub63VkfdjXfBK47pAfr9t+bfDrsstBW/50U38IeW3bcfGl7vnanlfCxQflmG/alv9fpYOvwzHfpYpjzfW32j3P7etQxS85N+r4KOeElifoJeFiizgGp+La171HcMfAAXPdXy6Xxj42n89pPp9XchC4f8R4PKbxeGxi+ePdwidtPB4b22QQBDQcDinP84MY/qvVythoYa/muRQWi4WxF6xWK+r3+yVuPmxx2+32wK7eBIPBwPSb6+trCoKAwjA0ebNGo5HhCOBbJElieGvT6dTwAGE7Gw6HhpsGWxm3dYEbxr8v58LZeG3gY3I7EXKcgSeYZZl5N8hvNpvNzPv8/fffDUcANnR8/+12a+pYrVbGjg57E3wRYDc6BpjPuM3hVD4E8OfB3D2ZTMycijkFPtXX19fGjib5iXy8rzonx2LbOW7brDtXxSv38JCcGp7LME1TY6OW3B3OH3YtJznLPG8juN6yPpftY8DH11Nsc/+LrrY93g94f+LbvN/atrfbLX3+/JnW6zU9Pj7S09MTbTYbenp6MjLBbDajNE1N7qrdbmf8C+Hba0OV3d8VfH66vr42HC8uE2Fug3zD5R/eL+CbxedA3he5PA/5it9LexaZ69UFyEu2Wq0O3t9utzuQO+fzeWnMBN8d0PxNF4tFia+J78avkXzO5XJZqlfL2yR9SiBv265BGQ6NZ9Q14H/D97nuQOoDIBfjW3L9MPQO0NlK3THnkkofVqkvlpxSea5LtNWVeD2sh8f7QpW/HHIy2mxyuFbTz/KYK1LXLK+VuonRaGSuxbyOuSWKotKaVurh4IcBPqnMJV615kXeSA2I48GBeZHz5zVAH0BEJR0ZZKz9fk+r1YrW6zWt12uzvVqtaLPZ0HK5PPCfI3qey4bDofkbjUZGLoK+YTKZ0GQyMXqp4XCo6oLarJua5rffbDYq591WB3wEpW7IxunFHMt9OYjseSf5XIx71Nlm+TM0lf/eO6riDGqAHC6h2eH5PaRMVxenrt/vO39LyO119jPePqp+s/RJfevwvNH3DckF6kJXcAq05V16uEHysXhMTozh4AzgfxiGlCSJ8XFCPA3YBcMwNOt0tKs4jmk4HJo6IGsMBoOSXAHZDnoMnMcYnqap8QNcr9cmZgH32YKMARlHi9HliiRJzG+GDgPyaRRFxqcKPmzwl4JdzeY/VfUttDhcbQF9HXyWh8OhseWOx2OaTqd0c3ND0+mUbm9v6fb2lj58+EDffvstjUYjurm5oclkQqPRiCaTiZOPoA22uDNPT0/0888/Gxnz6enJ6ECfnp5MHBmuD53P57RYLMxxbEO2rZMjoigy65t+v2/kdvhMY70FP2weV2a/31O/3z9oG1obq/Kphh5SwibPc3sMUb0/9qmAmIv82fGO+DGMEUCe56VjWBtiDcp9DweDAe33+5Lshn4PyHe02+1Kfmjb7ZayLCvtcxmPxyI6BdB28E76/T7FcWz2uY60KIqSjM31nGhv2MY56P+DIDA57/Fbj+FOSHDdLWId4TdIPS33NeffyrbdFlVrCVucmLcKOYdj3uX/MQ9w/h/m736/fzBfo5+i/8jriKikC9psNqU1O/qmtFEtFgvzvDIOUhuAzwO+ZZZlNB6Pab/fm99bFEVpLdrv9ylNUwrD0PiLI04B/lfFR5PAu5FytC1mUVsMBgPzO8fjseErXV1d0Wg0Ks3ld3d35g/crpubG7N97FzucZlYr9f08PDQ+O/nn38+qGswGBiZsOrvhx9+oE+fPhnZ8bXzmX788UciIvrpp59e+EnaY7PZ0P39feN28MsvvxyMWa7tQP59+vTJjy+vHFi/gF+8WCxK+7/++is9PDzQ09MTPT4+0uPjI83nc1qtVrRYLIzthPNXLknPChsN5B3wSWHPgh4kyzIKw7Aku0L23u/3Ro5ZrVYUBMFBbPMmACeb6DAO2Gg0Mmsk6F6gg+DxZpIkMfIHnjnLMiOjQy5DrDv0eehSsNaCPA+dBrfVVHEp3gq08cumK+1KXwNwmZLr53h8Qq4rwjZkdi6HHwv0Eb4+wLvhtmmuK8Q+fhdfy/N22ev1jA6w1+tRmqbmN2RZdjQnvQrgluHbYT2BfXDT8KywL3P9Jc7jvRB9jZvE7eLb7fYg/5GMNY+xA/t4b+v1uuSjBr0Xb58yx8E5AP+I9XptYmNdX18fxBvTYgLb/Hds/lfg/EnYYr6DLwhOH2JnYRxEjF2MeYhjzX1qsI93Cx1kXb9KkoSur68pSRKzPRgMaDwe0+3treEB3Nzc0GAwoKurK/r48aPhDdze3pa27+7ujvYDg75wsViY+fvx8ZEWiwX99ttv9OXLF7q/v6fHx0eazWbmHHxKlsslrVarUszuY8c83qabzCHgo8DfBro0jD0YhxA/Df0C6/u2cgh4rYhFCp0m+j3kiSB4zm+FtobznNuCsWS73ZrzYRgauwHG2M1mU9K9ID4z3gHRsyyQpik9Pj4aPSr+4PeD38ttFfAxknxJ2MO5bMD/+7gmZUh/Jw1vUT567eBjj+28/27Hg+tIsS/BxzNbOc4r4vYgzR7A8xxV2Ry4briqHPTjGBergHHboxpaDIS6tVWX9vEmkLxT3sa4zCF5ndIXAnXx4zy2MsBzmuIew+FQzT8Bv22J0WikcmJtsaKjKFLlb6mH4PXc3d0dyPGcW6xd0zSOgPSThRw+n8/p999/p99++83s4/96vTZcgtlsZnykOSCbX11dGTn75ubG/F1fX5vt77//nq6urmgymZjfOx6Pjd1/u90ecHfhk18UxQHnFrk8iMj4ZXNgzaLZqfM8N1wXzdaLNbTMO0f0NT6wLc8O1knaWhK2Mpt9DPEHbOMjbPIaULcNeI9V/d7LpR4ezXCMjaZu3SPnbdv5NjxPL5dfJrhOB/ua7xH3V5K51bRruFwFjh4vo9Uh9YJ8fzweH8hmWg4LcD4lhsOh0Rfz+pvEq5JyDefL8HkUawl+HrrM8XhcOs91XZjfwc/h3BbEfYFfF3TWkBl4XJgudH1EX78r/uP9g9eC3DngYY7HY5MXDdvcL437UU2n05IvOY4jLgzK8G0AcZ66iMdi01O7wjVfh8dxsMUr2ZpntRsAACAASURBVGw2Rqbm2zxno22bc5z5No+fwrd5/BW+zTnATf37bODxp/g2b/Oy7XGOGLfXRFFUGvv4mpGX4/EdeNwHonIuRR4nQparyunr8fYhc6Xy/sPjojU5J7nzVed4P5axXOB3gDkScUDyPDdrbMybMt5HF+A6TqnLPnYtDE4M8o6BFxPHscnnh3kaein4BsRxbPrt1dWV4a5+8803RPS1T6Pf8z6PcUE71wS73c68c4yt3B+Dj+2It8dj8KFN2K6Bn4l2DdFXfw0+t7SJV8PB4+bwuDrQnU+nU8qyrJSj8OrqyvCeYQtFW8GzQOYrisLYeCFLwvcdcYfqfkMcx3R1dWXsotPp1OzjHPbhHz+dTk3bmkwmNJ1OKUkSGo/HrdanNt+aY9BVTDNXVOUNOyeqfJjOjVN81zboSiY7FnW53N87bBwPmStVAtyINmg7vr/UPdv2p7bt/xj+SFUewVPesw2O+Z55nrea9+Q9694VP+/jqLwtaPrPujZV1V5sMai0uuvanaZnrXqmuv6g6Wfr+p5r39Ti5WjXSr23LK+NtXU2E5sumV9n+x22sd1l/MRvaTJ+2fLA2mCz5Va9Q62OJnVXPcspynp4eHh4eJwLXfvcntuHty3nWj5nV/N0F/V4mcED4LyXqr7FY7K4+JRwPjJQtU7h8Xo04J4uXHeuC7I961uP1RoEevxh+T5Go1EtRyiOYxoMBpU8kiAIDvhHRF/9htE2OF+Gg6/XYM/XxlAeaxW2fPms3D5r+31pmpq2BNufhPTL096n9AmWccYAbjtBjDYJybvW/FF5/jLUJd9TlmWl+9nyFkqbtA1NbC6uNpFLsVmcE9DdSB9GgO+3naNl7Ewck3778j/+0J64/Z6fx/EkSQwfj9+XY7fbVY4tnMenjdOaTQTPUBRFpc2kjr//mqCNKbx98HgbNiB3oob9fm/4FFWQPkASddxryBC250DMM5uMwWNL8PiMsg4AsVAxzkgdpNRbYqyv8+m4pJgxHm8Htnavjd0Aj5PI6+D8c95veEwULnPz47xu1Kv12aqxH7EBZBncV+tHfGzh8hl/L+j7GPu198XjLr8WcP6phrr8wnXn67jkdefrcj/XnecxV+DTx8Hz3Wq+gFiDEFEpBrd2XuMpgQ/I/Rw5sAbQcq4RkYmxjNgyEvBhrZNrIR8jnjA4e/CleHp6KsXIwroI/DfkMUH75vE1sF5Bn+Y5yeB3zuNkvTdInriGOn8JLXaQRF3O9rq+5pLru46H7n+rhws4L1lDnY7ARTdQpxOo4/ByXxQNdbxDydmXqOPS2t4RxuU8zw/eER9/pb+9jNvI5xsutyyXS5U/td/vL5ZnqflKEpX1xwDPk8lxCXpZzPcAnhG5BQD8Jq6LhBzNdY9Yo8txajqdHshNHz9+LN1DG9+kvKjFsdDGbznma3VLWbKtz4PHywLjGh+jMZbyMQ3jM8ZJPuZjbG5aF8ZkVx2zBvgFwvcG/oC8rUP+QLuGrIA2jHUJ+gJ8AF3q8nif8H4Ml4lj/dU8qgH9ggTiRhF9jQMFf9OiKA5yy2uy9nq9Pvh2eZ6ruhhbTCeXOiCP8zhVyKtC9DXfPK8H/rFSZ6jFZYXdSdrquG363KjjbZzzOSC3QmcrZVQpV0rZdzgcluZe5Izm8je/D3gJsCtJWxnPs4z6+D7i1gOI5cL3cX6xWBgf40sBZLJzwNa3q8rDjxm2YtknuR4U/Qd9n8eB4f2al0HcGehRuV2Y+7u7gttB4WOCODo83xjK8FjPWPehvcgyPO8V2hD+y3tyXBJXCTH+quyvL2V7OZe9n+cCrEPXcwLyGh7jy9dFW+oqBhPRy7YZGyDjEDX333GBxv2p4gMRfdUNIgeMlEHkd21zj673bce6Rh0vXJ539R10rb/tczUtX+VjJvfb+pGd+nu9J9vjuf0VLgXv6Rt7eHh4eHi8ZbxGWcbLIR4eHh4eHt3i0uQBP9d7eHh4nB+Iw94VjplbOGej7b27mtuQS6YJJE++K9jyJnJocTpPAcmZB7SclefAZDIxuX9eSq7B/ZFbqGuEYVjpJ9W033SRn4ijS971drstta80TUv8EOSj5JD+NpxDiHxQ0g8IHEh+H85d1DiOi8Wi5Gst439nWabeh9v3kQuB3+dc8fl5Hh6iQ38Rns9H+o7InD48184l1eXh4eHh4eHh0SWkf5nmQy991rUyPL8X0WFMPekvhbxiAHKCafXLvHPSj1P6xG+325Kce+r8VNL/WcaIkGsJKbPyuBXSd1rGpJCyIc8jSXQod0q/axkbR8qldb/Fw8PDw8PDw8PDw8PDw8PDw8PDw8PDoysEhWdTe3h4eHh4eHh4eHh4eHh4eHh4eHgcQJK3+X7VuUu5Vp6rS8B2LCRh+q3t1yV39fDw8PA4D+oSkmrYbDZqcqRLuhd36HJFVXJUJPDTUJf0FUDiaqLDQAcuQPJUnpDBBZvNRk0IUpW4oigKNSGVVq4qybdrglaXRB7b7bZW9kIiVV6vto1kOfIZtG1tn0MmoPDw8Hh76PV6nQb5kbAFW5IJmE8JHnAqDMOz3ZcjSZKDZM3nQBzHxhlZJuw7JZIksb7nUwbhQhLgOoRh2KkTdr/fpyiKqCgKI2/xZHXa8SAIqN/vmzJclkJSZqLn+V/bRpK2IAhov9+ba3e7ndmWx7vQ8/AkijzBYhzH1uNIrMgTrPPkjfx4r9c70LfwROvSGR/nZAA8bKdpelBnUyyXy1by0GQyMc+XpunR7z/Lsk4CLyDJH5IwEpXbKBGZxI5AmqamLBIF4vdw2TMMw5IcjvvgPBJHAjzQBBI9AjzJI08QiX1eVu6fAkj0WLUvxzY+/xRFcRAAUY5DSEKJ9yXrlPuyXfLzeF/ymWQgPrnPg2Tudjvr+sx1HJdty6W8Btl2PDwuFbJv+PW0h8dlAn3VNTkoP3ZM8tGqelyAwLVdoMsA30T2BLcAl9WljlOW185J3aZtvy4xrjwvn7PuXl0jCILSt5ABy3Eez2A7T6TLeVWynxYcvUp2lOW1uqvOE7npyQEZiL5JMPVTrw2ITqs3x3pA6ytd4xxJu7Wk1q445XdvMw5DF1OFY79ZnV2qK5zqHm1+/yUmj/fw8LgstJVdu5xHL3V9f46EJ13cw1bHpb5XV/Dnv7SkehKv7V2f43m7+Gav7b16eHh4eHh4eHh4eHh4eHh4eJwO4MefU1fYVD9VxT9tc99er3fAg63jWdjOBUHQ6jrtnvIbHGPjxbXadz01p+QUqOIdVbXfOj8UW73wl6iy9VQ9E0/KLaHxYjiqfEXwTNr1vV7PPFMURSXfFH5OQxAExv6d57nhlmRZRv1+33Dv9/u9Oc4595wvwK9FXTjGOfz432Y8wDfl/4MgMP4f/X6fwjA0x4ie+TxBEFAYhuZ92MpEUWTK4J3ze1wSzpVwPE3Tym9VxbmX/hQSWZbRbrejwWCg9lfu02F7Nj5eot0B6/XatF1+T/Cb8NvkPeCLINs2gHbPrwPHDP0NdWj+0vw45xDKMtp718pr+x6ng+SG8W0+f2i8Row9HEVRUK/XO+AeynMYnzjyPKcoiqzzFp8bOPj8qV3b7/dN39LmJvgIDofDgzlG+gFiHMXvWa/X6nvo9XqVYwbiK9jmwjRNS9dKv6j5fK7W2+v1rPEecC1PXvxaMJ1Oqd/vq2NDGIYmCTHGG/5Op9NpaZ+PR/Cz5ODj6Gg0Ur/Pfr+v9MvO81xtF/yZq+TjwWBg9UHl/rgyRgdvn0TPcxrq0GTJLMtMHbbnXS6XB++UY7fb1cZoqYv90jbOyyWCj21yjuNrOKxjuJ9oE0AWhKyPfaKvbQSyHmQ/LjvGcWzGPE2WjKKIptMpFUVhrsM5tPvBYFD5Xev8xptwkzXUcaLr+LncZ1bDZrOpPC8T2Dc9LxPXNz1fF49wPp+fhQd9KiBGge0bSHlbyrfweed9i7cZmxyCP6yn5HVEz30Z604JzDFhGJauk8+Hed3WDvlcJX0/uC86B+fXa/qdKp64PF4VE8njK1x0fCjz3t8j5hIJ9CcNmKO0d6etQXCM6zr4+6+SZ/h9qni26NdYf8i5rk43hDqq5j+5Npe/hahab/EakSRJ5TuRazCiw+8kx3VNZ2yT3TFGY21m85eUPpf8uLwGdfJztr8maBJToimkn6/UE7xmueJY9Pt9urq6cio7Ho9rda74PtfX17X1ZVlWGTOKqKw/nE6n1nbCxyhtLYy6uIxpiwsmYyrKGEOoS8rDWly1NE0P2hdffxA9vzMtvg/WMHgHVbGEuOyI2DqaXyrG9u12a5XnYWtAXVV9rtfrmXVzXd9sG0/pNQHftu53avI6UVlO1vQcWr18XVC3huVjsyY/143D0LPX+e1IGUjTu7vAxcfWw+Ol0GX8DNl3q+zpTcdRrW7XsseW83DDW/WF9PiKOv5HU9TFdm3Sdvi6/xhuEre5N4Htni68uKr4KHXjqItcoo3zx8gm73nNeQ60iTcMXUnbGME2faAL5LraNWbsMeNJFTeOg8dnbfNumj4f7IA2aPkcZPws1/vYeJk8Pq3tGr7WsW3LY1U2MA+Pc0DTh/J2XbUNXTL0F7B7y/7HxxbtHMB5Q1EU0WQyMddJTlHbOPaot2s00Z02Qa/Xc9KftsHt7W0n9XT5jC56ZRd0yb+dTqed5Arosu1dX193om9IkqQUT/+U4Hyorrf3+z0tl8vScdgQ5TZ03ev1unb7GMRxbGwF3A7B7RxxHJtteRzlUSZNU0qSxIx9nMeHtt7v902eA3lPXDcYDIzcNBqNjuIq7fd7K2+zKbbbrVN+LhdU5T1riiq+EvJr4G+32xmeK/b59nK5NBxI/NnWnOCvId8Gz6MRRZGxzYAXx30s+HHJ49jv97Tb7WixWJg1K+e7821+Hr+F2xe4/QDgvwe2OE0Wrtr2aA7O6yLS3638LznYx3wj//3eJ4IgUG3s/Dwg7exoc9r6W85NNl4t6nTRow2Hw5L/h6ZbQD1Vv4kjSRK1nqIoSnJEr9dzqhNjPMd6vTY+T+BgEn0dd7lNFdtYd+H3FMVzDhbs73Y7s67inAnuk8VzTHGfK/7bpB2Yz5XSv+sYcBmcrynhH8PbElH1WlOuO3EdynPuqm0NLO/F6wN2u11JDjlm/Owi75PHaVAnQ8vzVb7RddtN66l7jiq+pnYcfmBNOBx8bPByghukzqvqvYHf21SelmXqrvHfzsOjjC74M10+wzH6HKDrdbl8Ps0vQrvPsfd2eReXMqZJGZM/l423jv9tYna8VrjYd7m/i/zP1zNN76uh6/fObWngEfBYJ1hHwn9oMBiY34Q8xEmSmHe03+8PciYRkeqbnOc5LZdLlQ8AH3vuExIEAS2Xy4NYG0SH8T8uAfC9lO0niqKSHQS/jx/nvzEIAppMJgc6hzzPaTAYlN4d+uZgMDBrTb5Ghr1L1qXJ5ev1usRngf6Zr403mw1lWUbr9Zo+f/5MQRDQdDo198czYV2KularVSf5oevAc5ITleMiIcYAePNZlhl9CGK2QLcNXTT6AfZ5u0cb5XFlgiAw7x/fmeu8bbluj4XMmya36+a/S9SVu/iIHlOny5h7jB9YXd2uwHiJ8RljN5/LeVvjPpDgmWGMR/9AG0S7ybKMNptNqb10GfdEchi4jXk0Ghm9bRRFNBwOzW+5uroyfQZckN1uZ3Rs8LVKkoQ2m03JXxC/B3PFer02cwp8oYriOTZMk+/C7agYUzCeSj1pE11GVV+V7xLvKUkSGgwGJp5LmqaUpik9Pj7SfD6nXq9H33zzDf3pT3+iv/zLv6S/+qu/or/4i7+gu7s7GgwGNBwO6fb2lobDobNO2uNtYL1e08PDg/Pfzz//TH/+859V2/dgMKDb29vKvx9++IE+ffpk9j9+/HhxsfXOhR9//JGIiH766acXfpKXwXq9Nu3Jtf19/vxZHUtvb29L7crl7/vvv+88J7HHZWE2m9F6vablclnafnp6ovV6TavVin755Rf6+eef6X//93/p//7v/+jLly8m9ha3lWJud+FuSf1KFSDb8TVxr9czNlas25rwufv9Po3HY7OOJCKzzsQcj3X9cDg0/gjwKd5utyauIGyv8P3d7XbGvxfyVb/fp/l8bp6fc5o476ooCnp8fHT+HS6/E7+vKIrSNnKXc/kLvCb4I2OtBu4Rj/3J7bP439ZXqev1gFafTd95zLrJVdd7KetFIl2/ieP4L2M9dfn8nBOHdRrqB3eO78PeyfVxWZaV9HScb0FUjpsAPQbOyfVGlmUHnIlTxr9JksSMKQDiaeC9Y3zifEDEJYOOhIhMf0Y86TAMablc0v/8z/9QlmX0//7f/6M//vGPJb1TnuclDlCapge+S5x3AmAc4xxR/s7BQ5VcHM1/p9frWePM1cW3uwRwPw3wX7j+AXE8eWxylB2PxyW+KPQPt7e3FATBwTuZTCYHcth+v6ckSYzeETqN7XZLvV7vYMxG7BMcAycb10EfwnUjXfZ5aS9pM/ZyuwPeJ98HJA+JAzogGzdTcmU9niHtEVXcVj63dGE/5N8S2+ewS3Kcuj3Y+El1fDVXfdixz+b7g8cloAtuxbHwfcGOIDiMk6XNGygnv6c2j8v441XA3O4acwCydBPffW4HlXXZnmm325W4y1XluQ3UtTyRe5wCj9NAyuiSk27TpXI5VuN91OU+kn5H/J5V10q7AvRZ2Lb1H6xbbIDfo2ufhS4pSZJSG0ZMyjzPDfeer32xT0TG74+oHFsS62c8L19X8jU/96XgeXW4rsAWN7cN+Pvl2/zdcr8K/i35GMvjyWp1cX4atnk+E1zf6/WMHgD3wHNgO8syaywOALwXDm1dBRushMa5e425RboC/4YuNm8XXoZNntfWcdpx7ZqqNYKXl14/bLyHqjZWZbfmXFBs8zlS6mC0NohxUfOHrrpG6rTl9jHQuFM2PpXkG8u5pc6GIeuvyyfncX50wRlqE2uE94ler2dsCdxflW+j3WtxCIjKdhrugyp5m/K4ZmvB8S7i7oGLqm1DfpEyFcqAH4YyPM8Rl4OxzXnLtuNyezKZmPghp+BSBEFANzc3ndfLYYtRo8VTb4Pdbld6n23B1wkS6AOuaBNTRfKqiZ7t/F28I8jLw+GwMx2YFmcH68lj8PDwcNT1GtI0PYn/9cPDQ2nOlOtPPnbxcjLeqKyDPysfF6HXwXjLue5yrJTjqVxDvXU7lSbrXJo/i8fL4JRcbFufurq6ss7hVTGPq+7T9Brw0ZrOlVz2awqbzgvxsKquO0dMZnD9cc+2Orq2ayeM21xn5oq2PJe631nVrlx+p3b9Me/Wox5tY1xy+0Gbe7blV9py5tTB9Vm1utr+ziZjrY0XCbhyo1zk9C55Vl1ztjw8PF4ebdb7kmsgodnZ2tzH5lNddz9bWcl34PYljSOncfo5d91Wt4Q219Tp36UtWp633a9LO/J7RhUPoWoe5PqtJuuTuhwd2hpQe766bw8/gLq5XOroca3EqeIpXBL4GhDQ3kVdHmCs4Vy4K9Dpy2/Fx0QZS7Tqu0p9BvcH4dDavW2tjTg1sqwct2x9SbMp2vTDMo8p97+BvQnb8LnRctFr/8ERwh+vT/4d29ZdOHce7tBioNvgmgdJclSqyqAc+qVscxJcruDnXfK6anBpj1XcGo9u0NZuprUFl3ZXd7+3OCdzbqEmC2n6G3AUbH1fytSaTyLRVx4pX8/I+3EdZpUuv4pLjfrfcjxo15xC0+nU+h4xF49GI1We4uOwlide5sQOgqBkw7fJPIhbD19XG+p0iYiVbMsPvtlsSm1cylC2POzg8tZxaVerVeW75X64shziCEqg7SJfz2tFGIamvci5vCgKI8NXyYbgNHM5k9vZm47P4F6jHaDdcD9f/B8MBibOHtHXeFnQxyPnFXgxqAPcxclkYuIJSnl8tVrRaDSyro3TNLW2aaL69SkRGT/jqvN18st8Pq+0eVTl/SFyy300m80qfw/PZaWhKOrjcdQ952vCzc1NpdxSZ3dHDDvtnWM8n0wmpTkbwLY2F6RpWqpTcrkwX2NOiKLItC1N/4ExoigK61wfx7Hxl9cgbUqyHtxXtnHMS/y3y74Kv30OLofye8nnsOX8kOtmDT4X8iG69Dm9lDUdl8c03yOA+16iXK/XM35ZvBzXNaEfIjcQ7wMyhgPAY5JgTLbNU1rfwD24L5g2vyDvm/yduM98PjfxZTRU8RuzLHu1/kpBEFTK/GEYVubPjOO4MpelXAdI/TWfFzRU5XcNw7CS3xvHseF6E5GJeYJt6Kh2u505h20iMnG+eN5AxFvZ7/cmJhjmC+QglDkGcQz5pJqA56oE1xjHBoMBDQYDk8Nyv9+bOOQoI6/hdcpz2r2qZMrZbHYxYxsg9dFdwcUP8lJQFMXReorNZvNm5FsXLBYLKoqicl3wVpBl2cn1WMhd2iW0+mz34Lx6PqYT2eVdqXtyvY+8htuvmt5H83PHb7H5NmqxrTR536bf0I5dgp+BLYYI33+p59H2cayunG2/SudNRKrduYp70sW+7T234b63QVt+Y1e+vV3A9gyyzxI1tw+d6/cdux7Wrr+EMcbDw8PDw8PDw8PDw8PDw8PDw8PDow5d8oU8zg+vh/bw8PDw8OgWly4b+bnf461C+uG3QZvreSzuU9+LQ/ONqytfhSY+gbacPETHxeurg+bD0SauoEsMFO5/y32qefwa+I9InqPcl+9W+gbwHDe8Dtvz2O7B8wATHXI5+X4QBAe+Y8fENHWFzEWm5XGS34bHnef5gYgO+x/PEcT9ZnCO9xlZltcr2xovC99a2zO4os11df77LwH4fLjikmI2nSLu62azaeVrWMWl7gJNfeK7fC9VvqYuOLa98Lxnx6JNLOxLz/nt4eHh0QTSx5nDJb7jMefbQouxxPdlzFctl6R2HmVkXaify71BEFCSJAdyMK9LxpNCfBSsc7lcmyRJpe+yhirZs85XmaNuHdrr9Sp9mznq8kgNBoOSn7Mr2l5nyw313q/z8PDw8PAA1us1bTabk+yfsm6X/bo4a8dCyid8v+rca9i/vb11eQUeHh4eHh4eHh4eHh4eHh4eHh4eHh5HIii8F4iHh4eHh4eHh4eHh4eHh4eHh4dHQzw9PRkn3TRNS4m35vO5cWyWSYe3223JMXm1WpWcZXm9MgGlvM9isSg5x/NkljKhchXJ1yUxcluMRqNSMtCrqyvjbCUT00sHnfF4XHK24gmNwzCk6XRqzslkxki6TfTsgHZzc2POxXFcSjApn/H6+rrkmFW37+Hh8Xbx+Pjo5KDbxHGCj/N1qEpSzNFkHM/znJ6entQEyhJZltF8PncKerLf72k2mzkFbdntds7JZne7nUnmWYftdmuCb9QlmtOSs9uCklQF1ZDfcrvd1n5fPFeWZT5Zu8erhpSHmpjdXyr4AfZ5UCy+zYMSyGAHtmAIWuCEJElKwbbktfI++MNxnJtOp6XAXK7gQcfqkqvXIQxDCsPQJCk/BnEc083NTaugdhJdON5FUdQ4sIQGuRZpC76G6RpyTXQuyDWfh4eE1FXUwVU+BqRuxAWbzaZxEnmpn7FhtVqZYHifP38moud3gAThi8WC8jynNE2N/JmmqQnMydcSq9XKlOEyKN9O09TIm6gHZQC+3VUwNz6Wcd1Mv9+noiis82vVdhAEtNvtStdXzenYlkEZbcm3q1AUhWmnx8gwLmsFDw8PPSgy0EVAetQRx3GrILeow/VZBoOB9T5t769hOByqOmsZoPhYuMjPYRgerT93DbIGtF03cRtDUyRJ4nTPfr9/1H04qgK/dbW+qYO0r5wK5wro1tV6rmvUreE2m42R3TabjZHp1uu12V6tVkZ++v3332m/31NRFPTw8GBkpMfHRxMsfTabGbl0Pp+bQOzL5fJgO89zIx/leW7umed5yT56bt0n16lg/INcKQNNolwURUaHE0WRaXdhGFIcx0Yvwssi8OVgMDBy7tXVlRkTRqORqT8MQ0qShNbrNe12u1L/4fcOgqCyj7uuOWzgtus2kDYQqdvebrclvTcvm6ap0fHL4Px8PSKv4793uVyWruP3lnXyc2iHOC+TFjRJGNEGkBnwbuS8oe3LYy/RlzwuE+cIRHZK/SRwjrn3HHLRufStnF9zKki+zClwDtkO8/El4Rzfr0u4Pi+3yadparZ58pD1ek37/Z7W67XRf242GyNP7vd7Ix9AFiV6nvf48c1mY+b63W5n5AXcZ7/fG14AtonOkxCoKTj/jcuYvV6v1AfH47GRB5IkMeeCICjZW/iYnSSJWXcGQUAfP340dUynU9P/4jguyZxV+9PpVA2S2eUYvtlsSvaBqn2+BiJ6bmN8PwgCs/9SQVslB7RLnCrY6qnK1l07mUxqk5l5eHh4uODUwa45MC9pf3wOStP04P9ms6HFYkGLxYLSNDV/uFb+xx/RM9e0CaCzghyBfXlOK4P/XMZIkoTiOKbBYEBxHJeuISJzbDqdni2p8Gq1MvLgdrs1dveiKEr+GZBJiZ71TFyfulgsiOhZnlwul0Z3yvWr+CYoB3s7ZFPoXmHfJ/qa9LAoCqOHsum7LhkySa1MQMnlV55YBwl/uM4zjuPSPm9jQRDQeDwuJRyaTCYlGxNfS0odar/fpyRJaL/fG/50GIYHSUtl4h9X+86x2O12ql6P+wa1AdfFNkVRFI0SHLZNEtkU6INE7ddzGif8GJxSL8vX1U0B/tA5Ucfrwphn2z8XMP7y5zgFmv4+abO4BMjkzB4eHh4eHh4eHh4eHh46zqXzrMNLPkfdWtbl2Y5dD1/Kevo9wfZd/bfw8PB47dA42q8J3F4nUeXDxc9pv5lz3WWZqnNy/1gdvc1PmB/TylRdg+dATBBZzkXWqdKnB0FAWZYZvxUN0n9BQ50duc5mxW1trxXSpitRxzWTfoX45ngv/Lxm69G+If/2OC/bA74v92WS9jzsy/p5PUF9vwAAIABJREFU3Eecl22FX8ufn8fT4nVrbQ12Ie33XXK78TKpHbZ3o42DEjKGkgT4Irb3zPkksgz89zgXnfc33Ns2ZnLuiOSzy2eSPi/og/Afk/GfeHlweXgMVC12FsbeKm497P6294pn0sZ5cGyInjlKdXMBjytiA3j6bwlhGNb6oURRVMtv53w3G4bD4UHbkvP4ZDJRx3P+3rkvALDb7UxbA19K1iH5TtLPNE3T0n3AmwI4hw1An4XPMLhx2Jf+mHmel2LfoAw4clmWGd4czmllmrRDKdMBfJ5rCk1W1P7jeV87xuNxpS8g+J+AlGf6/b4aM4B/S63tA0VRlPxjNMDHmvv8cPR6vYN+LPlKw+FQfQa0yTiOK9dFYRhW8u7AdUSdGl9Kk1mXy6X5TTyeoFYOc1QV4Ideh+Vy6cQ/O6WPy6XC1lY4iqKobDO8n2hxU2Q7Loqi9P1tY2FRFNTr9Wr5Z7je9jv4eGsrw2M9EB3Khq+Fz1wFue7TzgPa2t62RntrCIKgdk3Nx0CAy/FA3dq9rm/xeuQaXX6PqrhTgEssJR5vJAxDdXyXcUgArE0gP9X53uM97vf7yjFa1qPNO1W/a7fb0Wq1ql3f4Zngx+uKNvEa3xuw/q1ah6MM0fP3hKzjotuV64G6eCjcx8JFxoVPRxOufBzHTnNHU34yfMU1XYH83VymqWr/Nh8OCR5TUkLW3bWfwmuCa3w+6SfPIWUfl7mC6LnvyDnM5mviGiej3++bcbguH0DdvEf0vG6psg9wcF0QwGPNcriM8URk1Ttp0N45YjrwfTyrC4IgoMVi8WblqNcEbV3eVD/D23ybb4r+2tRPBXOHpqe1QRsLtHhdHC62NHn9e1tPdwHuR1oF/i1k/gai+nFoNBod2CK4npLrKnE+iiLT3vg5rK/ltQA/zv/k7zgFNPu49gd9A8oBOIbzUl7lv5f/Jq7vJTrOFo01Gf74MfznehVZjpeFbQcyApe3+fX4Hfv9vlSny9zO0e/3D357URSlPIFdgfvGd+3z5/K8be652WyO7gM8bn4X/Qk2DI/XiTY86bdmF32PsNkJq47ZYJMnXfhhEljnVfHGpEwg5QPN7177rz2vts/nctgZsI1y/No6XVKV3a/qN1ddX6WXqpPXid6G3cKjGi76bL5dNUbItm/j52nX1ZWRx7ncjWNVeWZsvCoO3p/4uOD7weuFS4xdl/koiiLnWNB1Y33T2MK2dQFffzUF179q+tGq6yS/lfcVvvbjx7l9rorfLvd5vHqX66vOe5wePK5Zlcwl2wefLzRoOheua+DH6ua0fr9vvZft/jY50VbelnvNxkeR76Zuvqrjtdjqf+/gcoNLWYm69nGJaLOeBy75d71HSJun5PyjbYNLh32u3+fnMU7BhsU5lkRfx7F+v1/iUGPfNsdLHaDN3noswKvga3HomPM8pyiKzHif57nhQkH+iaLI6Jexjt/v92YugQ0K21wf38W6AO8d3wTPCl06bHN4ZvmMPNeUzPnZ5lmIDvN34z74j+2mPHQOm/6h6bwG8FziaLtoB+CbcX9FvHPMtXiv3HeF86h7vR5tNpsSr13mkz0FV4WvFyBf4zuhX9vsTRp/hNuWuIzBbVGw4/Fvzq9HHVyG0uT09wSb3Glr53jfmh0dOKZ/vRbI92aTjTWe2rnfjeZ3wNfNfGzBMxJ91YXzZ+ZjLf7z+RjXz2YzStOUkiQxfk+8r2l6b/5eoAPGfWSbeiv8oTZ2hab1a7pPbvfX2imOy+0u2682xsj3UWfneMsYDoelvtvv9/8/e1/WI0mSVX09Fo89l8ruhm54YECCkZAGoUZIUAM/o39k/woepgABrW94Ac0D84Cge+jqyszIjAiP3b+H1LE8ftPM3D2WzMiqe6RQ+GJuvpmbXbvLuS7WCtuGw6EbZxHH12g0JMsymUwmMp1OJcsyEXnMp3Z2diZffPGFvHnzRi4vL2U0Gkmapk9yrSGny3K5dN8bZBPkchoMBk/8YjebjSyXS0nTVObzuaxWK+l0Os5XfL1eO5lvOp1Ks9l0cUh5njuud9+2unk0O52O899oNBpO7uAf7g3c0ohh5OssA8YD7i+rxNOnaery8iKn3mg0ksFgIKPRSEajkVxcXMjZ2ZlcXFzIaDSSXq8nw+GwsHx2dibdbtctV81V9v3338t3330n3333nbx7907evXsnWZbJ2dmZ/PVf/7W8fftWvv76a3n79q28efOmUp2G08NsNpPr62v58OGD+8fv+vo6+PP5Ml5eXsqbN2/k6upK3rx5U/n3mvLnnQK++eYbERH59ttvX/hKXg82m020Pcd+Gu12u7RN4xv47LPP3LZD5Yw3vAwmk4n8+te/dmPiP/zDP8j79++l1WrJX/zFX7gx8euvv5Y///M/99Yxm80kyzIZj8dOBru7u5PJZCJZlsn9/b373d7eys3NjcxmM7m9vZX7+3uZzWYym81kOp26HPFZlpXKE7qPrcrpAz9X8EJwTnXoZFiHKPKYp6auDilJHnPuXlxcSJI85MJsNBouhy3KrNdrl59qu906u3in03HzluFwKFmWOX9wzDtFHuSy1WolSfIQ93Z3d+ds4pPJpDAP1rkgRURub28Lz2+xWDif2NVqJdPpVH766SeZzWYyn88L+asgb8J/HNsgcx7DF/iUEfLBYX8YrQPYB1oXzDoLfR0h27vWWRwKPj+gEKrabk8B/MxZfyRStAHBbsDr2h6ky+IdsO8/dL04FjrgRqPh5r9pmro5EWwQur/S87w8z581jof7XIDn/mzP0u2FbV4ox3NRBmIhWH+mnzXAzyRm+/9YdHEfE+r4AJTVgzbIOg5eR5uEHlh/x+gHWE8MfTDkCtTD3y/sVLAV4rz8XR4zZoP1YZpLrNfrFfzhWOYHNxlsd5yPcL1eS7/fd3qmTqdT4HvDs8O3t91updfruZhbyCd5nrvcfYj9mc1mjusLOjvE2ewia3Cf5OMw4L4By/vmatcygG4/GAfgQwj+NDxPXNeuufcY/N7wzvI8d3wI7J+w2Wzce1ytVoVl9K+wy2IZ+0Qe3usxcrW12+1C7Br7XibJQ/wu23Z4zGAfAxFxnCU8BkNninYLXwOMSdiPc2LOgPtm3wTsf66cdb5xz2evK7PzVdlnMBwSIfs8oPvQKn6ZXN63PVT+pVHXT5CfxSndxymD/Xl8+3zgcaWKn77vfWg/Id8xPg5uHBvSJ+jt2r8oZocu266Xffd3SBs6/kP6ldC5QuVDZfb10zM8PxqNhpydnT3ZHmrHvnW8c+hefX51WK4SPwA9TOjb9HFo+Pb51g8B1qHrbySkU4SMy/68+ljMebVMGaonFgOLsphL1OlPME8qO4b1OzZOVkeZrHWIumO6dN+2slhVPY6wPyB/Y7FjWN9bRycDHVBdP+TVauV0Rz74nv+huEIMz4eq85znOJ/eX0VuKqsnVraq7gFl6zyPqv3/rjj0/OpQddn3b3hJVOXq1CjT+TCqxsXjeuqCbZOheYRvDq3nv7E5Mx8fOpZ/uyLUD/v0AD7E5lGhbYcGzzt86xxDxvKgtq1wWej0NT+e/tc2H9gVUMbXZiG71QFsCXoeFoPPDqQ5ntivYLvdOj8rjhXT63pZc0hWaZPaJ8X3DvmX5/kTuz3/+85XxllsKEeV/AGAfge6Hy7rv7kt7tIvh+xYVYDvCnO3OnVw+62rJ9TnsTZ7Omg0Gk/igkTiY1pszoK6fG27apvBN+LLS6VR1Tep2+1WLlvWNuEnov2sYgj5K2je2VCOLB98Od98QLxTGfL80SeurG/gmDHDUz6v2PfDPMYAyxZcB+uSWU7xySBVlp8DPpmH5VKRR25KllOZqxm+KvAhTZKk8A1Bbg0Bch5QZU4GH6yq4+LHmHfzmEiSxMt7V/YMmeMOZWNjCcqwPdtnu/Kdl7/NPC/PiYN6dK5ZXxkNtHvI/VXaEuvDQ/1vqJ6Q7c6331fm0Pq+TxHcn4Wg/fZ8YD4hXznuV+Enwe9Xz9v5W4EPo+5fET+Etq65GlGe/SobjYb3G0rT9Im/CXLnMLguQMdJMfeMLsf3HMo/AT9bfR++cpg7xcae+Xwui8WiVI8xn88L3D0hcEzSp4okeYwpqwLEnYXAfdnZ2dmT9xTiNkW+3SpjAzi+QmC9mi8/yna79dpZwXWwXq8dfxlfD/+zTgnlmEcJ8w1cB2TLWB11UUUnsmudXPfH5LvU7Xaf5AHXQExlCOADCSHPc2/uc42yeXgV/79OpxN9P+CYi7WvbrcbzM0s8si554ujzfOHOFZca6w/xdiLeAv9nWNeEsunCV+gWA5Q9A2LxaLgs+N7TovForS/ybKs9Pv82Oftvu8hJHvz/o9Jrq1i19J9ctX7P6XnVMU3Q9srNV7zmMF5q3z31mq1opzuOnZIoyxnG8e2xfZr+yH6sU6n42xyvj6pbD/il0K+ZZg7hPbz/MnXR/O9a10rvi+0L9/x/Gx8fmksG5b1y2U6XF/MMyMWR4l69TXq69039u+U4LNb8zrrgXzfFtvAQ4AOMwbffvb39X1//A60HdHH28nx4yGd1z5j4GazeaJfxfwCbcun82Cdl7Zx++ZffHzMdzo0dwNi34lPT6iv+bUh1gbLdFExvXmVY2PnLfs2qugoQ3WfGrRvU5mu1XdM6Pus479UF8es22AwGAwGg8FgMBgMBoPBYDAYDK8fp6yT16jDyfCxoSpXRdl2H9+M3u7799UZ4+PYJYYxdh914uoZvvh1za2t1zmGh/0JdF28HqqzDjgGR+RpHLKOI/cdw3HlWPcdD3+7OjHdIRyijljdMV+XEELx72WoEu+xXC69/sNlnImnAuYcOGWU+UEdC7vwmvt8SjjO7VSg+9Jdv5PnQsinuArY30T7nmifKd6f57njvPAdq9e1j07Zebls7DrK6joktD8JjyEYB3lc0nyMVdef81hcewg+jkvtZ7fdbgvc/7444FCdPp+lsnYTu5ay5bL7PVXUkV9D26vKqaEyu/DiGAwGg+F5UMW3e9d6Nbrdbu34SN96LOZFz8HKOLb1uA8fcuYf4f2x+rCfZTz2oQ7Fux0K+v4111eddeR64vp4Lq7nu9yGms2mdDodx3+BGF4cx7oH375msyntdtvlBEd84i6IxYRWgS92fzabuXaD/PC8D0A8JNr9/f29k3tXq1Wh7GQyKeRuRznkwIKv/2q1cvMo5IZi7j6eY+n5FupH2ZeQaznOhOfJPNdHXifoqVAuTdPCMnRtyJWKmNg0Tb3LeA+9Xk+SJJH5fF6YkyEGSy/XhW4Tx8b9/b17t/vM7XfFarWS8Xj8LO1ps9m4HHFYP2acSijmuQonQl1oDo8QDnG/8/m8dj27xk2tVqu9n1XV8x4zh6LBYHh56DjQKror3z5wKfny29QBYs/3tdelaVrIy7oLIHvHYuHLgGeyz/WwPJemaSm/iw+ff/55Za5iYDAYFOYXkPVi6PV6te8zTdNKnK2MRqMh5+fntY4RKed38mE4HNa28e7yHE4RL80hdn9//2Kcz3mey+3t7YucW+TTfvbb7VbG4/FB64w9y9VqVZgLlSE2L727u6st2/t4OpCvexcw78h2u611bxo8PwO31T7AszvE3CLP8+C8UpcLrWMuBk67WEx9lfqPaQc3HB+fsh/nsRHiXC2TyaDH1iibJzDXFW+rcj6W+6vm3ej3+4VyZTxYPnuR7xm1Wq2o3A/dLZZ9uV19SNNULi4uKs8NhsNhZbm7jEeSkST1eFrPzs4qX3O/3688h6tzzQaDwVAHWZYV7Er7rB+yrkOsj8fjo8m9mtf4Na/rfR+LrshgMBgMBoPBYDAYDAaDwWAwvF4kuVnDDQaDwWAwGAwGg8FgMBgMhmfBro6hx95Xp467u7ujEI7Ucb7cx3Hzuc6zSwCywfASWC6XpcGmVcqsVqvSwM4qZdbrtdzf3z/ZzkRo6/XaW89ms3GBtJvNxltmvV67QFZNqMTXyYRhvjLL5bJAzKuDlUH6zOs+Am8mJxOJk3xXJbrK87wSGRYHHRs+PmjCQR90YGUocBP1+dButwsBkCC4iwEkdiJSOXlAt9t1ZTWBYwj9fr9QDqR4MQwGg8K9xp4JcHZ29qTeMtJPXwBlu92OPn9fMKfuf+bzeYEIgu9/uVwWvvssywr9z2QyKRAnot40TWW9Xj85ls9zf39fOJb7XxA74lqyLCuQJfCxob77EOh0OgVZbTQaFZ43E840m81CYC4Te4o8tBMOCD4/P3ftZp9j9XvWhDs6QJaPNRgMx0NZ0ORms5G7u7toHfP5vFIyl8lkUol0JSQz+xCaw7PsLPIgG4auEcS8XGfI1SjPc1e2jCAHJL5VCXAwplQhPVosFpXkXYylVclIq8rQL0FOa/g0AKLoOmC51Ee6UrcelkdiSWywzmVBqN5oNKIJb2L7dMI/nleXJVw6FmkaE8NokhjfPiQcwnyKScHxfvVcq9VqOfk1SZKCXNlutwtyI88t9DwDydGGw6EjwEQ9aZpW1mdqXWhdaLl5F+wrD9choPGh1WrJaDTa+XiDwfCAOqSaVeVqkQdixKqy23Q6rUzsWIeEsw4By+3tbSVyuzokqHVIO0NzjPV67cZl3HeWZXJ/fy/b7daRNGLM3Ww2rtx6vS78cE2coJAT4+qkinzPepvhdYJ1orEkhaHkSP1+P5gUMZYgEfsg5/Ac2Zd007cvSZKjyJI6+RDL+ryv1WoV5HiWYbT8qfXg0Mfj/pngiMkKcQ18HqyDfB0JlACu17cO7Ct3aZ1qXexrtx+NRkdJhLzvfVXBvnJ7FZhcbDAY9gXr2FkuZT8VzBu22618+PBBFouFrNdrub29dWTm4/HY+YNAL75arZwtEiTzWMY8ZLVayWKxcDIvks1BtoWseszkXCFwckIki4NeCeMuyJF7vZ6TJTh5SK/Xc2NBmqZOH9NsNuXi4sLVf35+7myanU5HPvvsM3cdPJZq++Xl5aVb1vqqQ5H5sp2D54XaPsPl2N9Rl+O5GpfT8yJts+F5my6r56t67nhzc7PPIwiizF+R349+J5r8komdNSl0Hbu1tnlre7m+RrbTm1xhMBgMcWD8gR8u/iE3QWbCP8Yn/GOZyywWC6cf1f86fqAKMJ6gv8eYgXEH4wLGJfT9PH5g/MIYUbXOXcDyA8Z61sFq+fTHH38UkYexfzwey2azcc8Wzw5+dpA9l8ul84fjxEfaf5mTqHLiUdRxKoAsyrZjtnWyTqvf7xd8PkejkdsHe6XIg+wxHA6dfIF3Cttlq9WSwWAgnU7HyS/aTshyj7ZDajlIt5l9dVcGg8FgMBwCx4rV9GE+nwd/8COFPDMej912HLtYLNw/fnq73j+bzWonJMTYDzsV1iFzYBuS/7JNC2O73hYqi3WWX+pil3eo49Wm06mTCReLhXtm6/Xa6Z5wDGT12Wwm6/Valsul05UiCeR8Ppflclk4HueBnmu1Wjl5c7vdFmLleBm+AyLifAReA3R8ExLUsT4KibW32600m81CEjvWywI6Vojjo3C+Vqsl2+3W6W+136cv3kvLpJCtoctmfXHoGPZFZF+NQwPtrQzsQ/Ic4HkVoOM7nxuIJ33JawD4XRyzfYQAH4yY/w9sNMe+jjo4Rhs6xD1aQlyDwWAwPDfKYvOfE6dwLaHx/JjXZn7Uu8Gem8FgMBj2QZ2x3cYcw0tiXzn0EHIs11Hne6hTdt/r3Oc7TZLkoN+59RkGg8HwcQLxPnWx77hQdvzHNO6cgm5Q5PGZ7ioDHRNlz2jf/SJhTtqyOsAXUOU8seeJY0P2Ul23r5zv/GX2bL62U3nfz4WqMfpVONHyPC/45oTKiIjz6YmVKTsvl/O1Xd/71OcNvXP2QdL8aNiPa2s0Gi5mNQTUV+bPkSRJJT+1qmW22230fbwmX7G60Pd9Ct+2711wW2N5A21Vr+tYZD6ey7ZardJ2or/XzWbz5DnFvmmUj33PgOYk9EHLW+zXGCqjrwfXVGXMQ/mqqBuLvkv5Oj5fzBVl8KMKh76GLl/Wd3D5Kv0MxowqqNqWRR5lojJZzsf5WVZnGarKT77x9FMB911V+ssqc5E6c9Qq/bSvzti7rSobal5ZkbBs7rsfX5uJ3bdu31W/tyrya6xsSF6s8n2UvZuq3yxfq4+3TfP8lf1Xgb6e0HqVZ6jvoer2KjgFOdBgMLwsTkXv+Bqx67P7WPrej+U+DAaD4bXjJWx2sTEwpOeNLVed28Xq1nlbDu3r9BI8nIaXQ6gd1pH/2Dbh0wn4voWQvkgfC/tlTFdV51pRH/PQ1wV/J7vonhEz7NNtVbWxlNkEfHZRgHM2lx2rr2c+n5tsvAd8/CZozyEdYkwv7PuB84Jthz4dsh4/cIxGrK2h3qp2NsTwx9o58hp+zGDOEhG/7jRJEsc9HMrfttlsntSl+ye8o06n4zi3cR7ON7Pdbh2/NOeVYW5EPs6na9Y/vqYq7dr6lsNAf8u+PiDPc8ctyfIlxjP2l8O2zWZT4KTkPgT9F/cD2i7jsz/o9qLrxXl1PZvNJurDc6oos6OEUHVc2PWa+Fk2m02vvyTWeczyXVPZt7/PdVaF9SWvBxjr9Dxft8lut1toY1pmAvcXl0F/pPslzq2GcuhH6s6Dub9lv0H841p5XMU/rr/qfN43b6r6jbVaLWk2m47/DH07ZAjm74MfGvJoIR/Gdrst1AOZATyDek6U5/mTPN/YH8otmOe53NzceOUL5uZ7SbDcxePqcDh07wjvtdvturLw6Wo0Go5fmccvPHMRcc8G70KkKI+jrTMXnO6X8/yBO4v9BcHxFZLfkV8cSJLEreN9aDn9OX1Ntbxcx/9j33PGwH3SS5y/qs/Irvuroo5eKfQO970Wn840hF1llCRJ3Hfd6XTcOnggwTs5GAzc9875hZIkkcvLS0mSh7yB6Gex7+LiQtI0lV6v5+pD/zAajWQ0Gkm/3/fO2znvC8OXv07zu+MawH2JnD6cYxbbrq+v5Te/+Y38z//8j/zXf/2XfP/99/K///u/rs/vdrtycXEhb968keFwKJeXl9Jut6XX67m8CiKPOX04D4Bv2y44Pz+XPM+l0+m499Xr9STPH3OqbzYb6XQ6BZ/n1WolzWZTlsulJEkii8XC8bviH3mtqoJ1mmhzPAcvA3h4h8Ohy8twdnYmvV5Pzs/P5fz83D3zfr9fWEYZXh4MBtLr9fbOJX4MrNdr+c1vfiPv3r2TX/3qV/Ldd9/Jf/zHf0iz2ZQ/+7M/k6+//lq+/vpr+eUvfyl/+Zd/uVcuc0N9LBYLub6+luvra/nw4UNhGT/fPl+uk8vLS7m6upKrqyt58+ZN5Z+98+fBN998IyIi33777QtfycePPM/d98K/m5sb73b+vvQYkqZp4XvR3xe+Ob2d89EZng+//e1v3Vj33Xffyb/8y7/IarWSL7/80o11b9++lb/6q78q5Bd8CUAevL29dbmZbm5u3DJvv729ldlsJlmWyfv372U6ncpkMpG7uzuXNws5tnw6AQ3oXKCrTJLEyW5V9Tewi0CPAdmd9RsiDzLber2WdrvtdBwi4paXy6WT37IskyRJXG6AXYAcSZgD7LMtyzIZj8fy008/yffffy/v37+X//7v/5bxeCwiD7m4//AP/1B+9rOfyc9//nP5+c9/Ln/6p38qf/InfyKr1Up6vZ50Oh3J88dcXYAvb5nOxclzBqxDpv/xxx8lz3O3H/I1519D/bA9I6fsYrFweg/kcYA8jn+Uh84FbWMXPUXIL+eYdizTdxuqwqfv4G0+HwDE/qLtcD45kaJeG2U4DwZydgDaLgQ9CNvvcC2wLbOfj4h481qEYt05rwqAPuQUwe8BenLoiPCsoYfHeMQ5UdrttoxGI3cc3sN6vZbBYPDEF2m5XEqr1Xqi7xERZ++Hbhc5vTGm5Xnu8hFhO/TEGKPRP/Px6L99seah5wHU0cPpZ6nt3VwnZAP84/7r9pm+c7Gdh/8hF8S+y7q6I0N4TNS+Dbps2Th96PGzqt55X/jaIs7va3P6/HwN7Bd5aN4B9lHCdwQ9K3ShWMe16WuNrbNMF7qv0LHHhH4HekyOrevxmm3bWBcRNzbih76O60AZXsf4ix/4ONiX1+fzWWV+dmiEYttD7YUR2sfyysfqjxbrh6rY6XRfyrZX/Xxeoz/WLmD/WkA/D+0HweBnE9Nfs59bzHbKZQ31UYU3w9cXxGzWh+g79NgAhGRdLt9sNgvjQqxO/GMe4ptvhc6pOeaq5LH3tXnMK6pAvyvoewyGkMyr2wyPVaF9PL8sq1PLEb46feOGSFGGCfUbIX6cEDdi1bFAn0/Xt+t3xfoi375d662qE/X5gO4iI+5S9mOQGw0Gw+FQx5bzHPWE6vKNh7vUGRoHY+cOYd9r4nrqnrusrn3rO+Q82eZ/hrpgneAh5ZZTres5UWZ/MLxehPp8e88Gg8Fg+Fhx6JiLOnOpY4+vNn6XI2SPPHb5mA8IfAp9+07Vth/yKdbLPh8R/at6viq66yp6kirPr4r/XxX9B19TyFYb8zmo45fwKfguPFcZtM1YO+D2Gyrn8xMNlWOEbPYaeN9l7b5qn1HVj7VufXX7xEOc27AfyvpmX5ute8wplTukfaJMLjzkNxY7PtYvVPnWPxV78SHa7b7tZ9/5g/7+XoMcuQ8O+b2G8NqfkcFgMBgMBoPBcEg8hwx+6rA5gsFgMBgMflSRE059HH1tsk4Vm6Lh+WHvwWAwGD5d1OG20b50vnIxLg32O4vxCmg+Lt7vy/+4C5Ik2Zn7V+cK5BxEZesiRV8pXQb5gbANP17fxb+Oc1pqDj69T//AkwiuYN6HfFHgWOQy2HcMebXT6TzhTdH7n1tOTtM02Kb2aW/7oNlsynA4DO5DrqrnRJIkcn5+7t2Xpmn0vR4ToXwvp4ROpyP9fv+lL6MSLi8vX/oSKgF836eOVqslo9HopS/DEADztud5kevVfDF1AAAgAElEQVRdr2+3W8cfL/LAO8A5/nS+puVyKT/99JNbn81mrvx2u5XpdOp4w5bLpSyXS5nP5y4XI7aBMwjrkCNWq1WBOwz5mXDt4LU8JUDuEHkYU3jM5zxV4G/GvuFwWMg5hjwdjUZDLi4unFyEnFAiDxz/GEfPz8+l1+tJs9l0fVyj0XBjWrPZdLmg+JtN0/RgOUGm06ksl0uXPwA5ApAPjNsX2iXyjSEnWFkd3CZ1HXWAZ4QcaaPRSFqtlgwGA5ebDTnVqvyjvy77NxgMBkM1LJdLlwdG5Glu4bu7u4JMwPIM56EUeZrXBmMOwLKSlnWQywiYTCYFjv/b21unS9Fyk86VgzHuGOCcnzz+izwd6zF2ARgDAZ4raTlf5xvleSqPdfo4vj4+v75WfS1l0O+aZQL9/Pk9c3tar9fyf//3f4VyaC+r1Uqur6/dvtvbW9d2FotFoY2Ox2PXFpDTSOShfeqcSbhG5Nd4KSRJ4vRiWEZ+kjRNC3nBsQ/6rlar5fKXtlot6ff7Ltcs5CnkOEnTVNI0lbOzM0nTVDqdjpyfn7tzAMhPFVt+Luybp/aY0Hm5TgXcL58Sjtn3MnSfUwbk4qkK7mPqoAofN+Zd+8LHGZ7neaGfPgQ4Zz3yFh0Dx+4H5vO5y690aL3GZrPxvo9DnYfHMo19fTqQg8pgMBQBmyZQhwtdc7nrmGgfx0cs585zQ9vrNb+/XmYbc5IkLkefiBRsycifB/2tiMhgMHDLkGc5ZyLk4jRN5eLiovLcpdPpSLfblSRJvPn8GK1WK2g37Xa7hXaQJI+5Y6vg7OwsmNdGAzJ9FdSxDbKO2mDYFVr/ckxondOxsYutY1doHdehoXVqu8CXq5qR53npOWazWemcKM/z6HlgoypDnufBuVWWZU4HpPNZI0crL+N8XBb5W7EO/yzAt45zYh9yautcqrzu26fr5Vwtx5APYj5/uxzv22f51wyvEfCRrMvPWSaD6nOIPOhky3gD4ZtZRRaEX2JV30Tokqvg4uKiki9fs9mU0WhU6RrSNJV+vy/dbrf0OQyHw8q+hFV9/+r4YGm7TQx1bDCvxa/OYPhUUcVWlGVZQT6dTCYFu+Tt7a3TsW82m4IuH35bwHw+L8jV8N/i68F++AtyXSxv67pms1mhLu3HyHWtVquj5bZut9uFsQc2UcjPemzk8a/RaBTGF+iPAOiUZrOZbLdb6XQ6hbr42EajUbCLNpvNgsyNHON4ptBx8XUDy+UyOEYtFovgXCn0jMtsPqF503w+j9rEffs2m03pu/YdF7NfAHp/VbuEnvu8RJ51w+mjil8Dvtk0TaOyJuvDtW+FBuYKVc4/Go1K9cTQRbMvtIY+ny82qtFoPNF3++5lOBwWtqHf1NfE/SX7YgNV5egqcnkVHXm73Q7q8xkmWxs+dWg9b2y9TtlTWGff0UOD5/t67v9a9tX1BTUYDAaDwWAwGAwGg8FgMBgML4skN6Zfg8FgMBgMBoPBYDAYDAbDCYKJzTTJFzvy6eB2Dr5hB0BNIMCEhJqQm8nLNMkBB+troiomutSEmoeAJpZkkkftzMfOzEwAqQlLmERSk0Oyc7UmDeEAS+3QrUmY+TqNfOTjQ4zsr4wkZJ9jJ5NJkBRkvV7Lhw8fgqQCCLALHcskpBrj8TgYMFX23ccILEAaqEkfgMVi8SSREB+rr4nrWK1WlvTvBQDCK4YvqIX7Sw4q8tWHOsuCY4bDYSXCgFjyIhFxpLQiD2NCqE4EI+E6YwHwuA/UGXM8B+EtyAJiQFBS1UQAdQi8NJFzDFVJBeoQd1kSmOMhFNhSNQBm10CZQ5Q7FllV1UCSsvVTObYOoZ7BEEIZGZ1OeMAoI1LTBPs+6OQMPtLhu7u7Qp+AhFB8DJ/HR1jNpPpY1zJklmUFwjSfDIq5e57nXtl3vV4X5tu+vgxJqWKkzfwMfGRo2+3We34ud4rJrgyHAcucZUBihSpAUgaAk7zyMshwIT9zclgmEkQyWJEHmRrtnkny9DYkj8XxTHC4K7EeklIgUQWIziBXQy7HMwDRCp5Fr9dzZXAMyqVp6nRNSKjWaDTceA3iACQN46QWMewiI9eR6+ucc7vdFvQX9/f37l1oAqD1eu3mC1qHwDpHravU+k+WBbV+Uo8brCutc85DQesC9XvgOZQmcWD9o57D6TkVky4/1zkNhk8FZQTGVWwhZaRpZQllqsjNIvXIkMtk9TrXx6hD+FwnwU8dgouqCY3q9P11CMGrvq+PHXXGjW63K51O54lcCZmP/yFnQibkfbo8yrEsimX9wzn5/xjQiSXwzz8kUoPemeVUkYdny7ogyI68jCRqIo8EKN1u143tSZK498PEuiyrauyrZ6pDXivydJ7ebrddn6GTTPG63od6er2e9zj0hbzs28f9VVX95jFI8F+SUOdQ9ddJGGIwGAwGwyHA+iPYNLBttVrJ+/fvZbPZyGw2c/4ySOa72Wzk5uZGttutzGYzl3QlyzJHYL3dbp2cgQQykD0xR+NELiH7wTEBvaRO1sv64W636+RP6DwhK+pkvUhiAJ8LLPf7fRkMBi6BL3wiWBbU/n/s43dI2ybLYux7qe1ebOfapZyeW3I5nqfrcjwnjpXbF1rHF3oXulws4bcuq3WMMd9J7Z+p5466DbAu0/wuDQaD4XSAcRb/GP8wvuEfNj38Q88LHe7NzY0bc7nceDwu1FMnWSPGJYxz+MeYAz0F/nkZJPC9Xs+VR30Yh3gsgxzDYx3bMXGfPL5DDl0sFjKZTCTLMsmyzNk4IXMiwQn8rpfLpcxmMyfLYhk+NFherVbOFwSJ/tiWjuR9LwEkEhB5TOIFcIJa9uttNpsyHA6dPHB+fu7KDQaDgt39/Pzc6Vuvrq6c7HJ5eenkDZY1WBbSMgrrr/a1sxsMBoPBYCgC8hB8LVgGgvyzWCzcOvajPI6HnMg6HMhfkMkgT9a12bHuA7oJyHzQkUCugB4kJEfC5w7yRpW664LvD/fOMij7MEAPNZvNnC8Injd0n5BVt9utk0Phd71YLJwfNP9rvSgSqMHHk32iY0ncnhvwHQXYLo8kemzLZx/QZrPp9KgiDzKpll1Rd5Ik8tlnnxVk3qurK1e2jk4slhClTpyYwWAwGA6PWGzVS6EsHuyloHlTdjkeP8govI5kwVXLQS6FXk7/tO9YGdI0dTZV/iHpJfZhnWNZsB0/7Mvz3G2DzMJ1lMXTV8FyudzZjo04OJEHOyhs49BnijzoSbXvnshDO51Op05enE6nrq7VauWuCfpPlis5poT5KZhXArFIzFGhYw5fEzQPg373moOBy2M5VAe2NRoN51sLnSvXp8H7t9utqx/PFsfwc9f1rNdrbzvm+DIf+N1qxGImdTvQ53wt8ZYxXg7sD6EsiXDVc7Ifdui4MrvErvcQ2+eLt61ynEi87cRQhV/j0G0rxM1TF89lOzLOH4PBcEhU6XdfCtbffTrQ7bBMLtqlzmMfBxy63T7HNxqKAwy9l5fCS5/fYDAYDAaDwWAwGAwGg8FgeA6cml7OYDAYXgJ1+sLntnfCFyy079RxjOf1Gu7bYDAYDAaDYVccku+3TBbTchX7UCEexlcudHys7LHB11t23zpOo6yMSPi+QjEgMYSee1n9Veop21Z2P1Wu6dTk8TpzjlO7doPBYDgW9ukbeUx9afjuQ4+9QCiOMhavGTqPL46Tx1DsC8VUaplK7y+7zzK5IxbjVuX9IY40du18Ps4R47vG2D6dS8ZXxncdHxt2jbP0ldHlY/G2BoPh0wCPbeAqYI4tHrOwDT/wYIg8cAEjxwH4sJhDQ+Shz8Gx/X7f5UIAwJ3BeaabzeaTnAXM68Z5rX1lRR44QJBPFrmowWPBnBjL5dL1iVmWyWq1kiRJ3LWgLDjW1uu14/3N89yVQz2r1UoWi4U0Gg1XjjnYkNNiH142/X54O4/ZGOPxXzbGvrbxdDAYFPgyRB55j9HWNDg3BrDdbgucyAB4Lc7Ozgp1gesEuebAy8c80Xj/aDOh32q1Ks3FDG4a5D1GXrtms+m+M3xj4IBGO+DvF+2N2wznaedtOmdlnZyXhwbeM9oungXzo0A3infWarUKOQ51Hmy0dZQHVwpz1Bzie9AcHcdCp9Nx/Q3yygDoB3F+tAe0EfTrvuvUz4HbheYWOlT7wPWKiMupg2XNk4NlXGeSJAUOJV5eLpd7vQN8S1gGRw/nbedrEZECR9Iu4JyU4E9P09TlFR+NRi4vDDgswVfJPJbgPAXXOucmxz5wq3LuGdRZNY9Q1Rw8zKGq8wBzvlrOTa7zlofOpXnX+FyomznQ6uTH1cAYgPxM7XZbLi4unuStB2/YdruVXq8nq9VK2u12oU/jb2m1Wkmj0ZAsyyRJkkJerM1m42QVPB/m9YoB/Kv47vFNaW4ucNFWeS6478FgIMPhULrdrpydncnZ2Zl0u105Pz93XK1oR5eXl467F2347OzMtc+LiwtJ07SQA+lTxQ8//CD/9m//Jt999528e/dO3r17J1mWyWg0kl/84hfyy1/+Ut6+fSt/+7d/K1dXVy99ua8GWZbJzc2N3NzcyA8//CDff/+9Ww/9fve73z35JrrdrlxeXgZ/X331lXz55ZeFbZ9//nmtXL6G58c333wjIiLffvvtC1+JIQb+jvkX+6bfv3/vnX9fXl4++VZjvz/4gz8w/u8amEwm8utf/1revXsnv/rVr+Sf//mf5aeffpJ2uy2/+MUv5O3bt/L111/L3/3d38nPfvazl77cZ8VkMpHFYiHj8djJs+Px2OUHAE/u7e2tk1/v7u5kuVzK3d2d3N/fS5Zlcn19LcvlUiaTSSGXQxkgy0Iu5HkhdFbQW1XlbMVctNvtSrvdll6v5+YaSZJIp9MpyKRpmspms5E0Td28qdlsynK5lHa7Xcj5Op/PpdFoOJl4s9m4+4TMr+cMdZAkictJhrkR8/3Htok8zcvKOQa4HM/FRIr5zjg3ls5LwDm0dM5PHzjXG/JWYP7AOSswH0K+CrQfnleBbxvtlPODXF9fu+OhE8N7qZNrTgPtE8+MbayYh6NdMmftPjnZWP+AOZ2IuPYJncBms3HfC/R/yA0H3dJ6vZYkSQp6k33Q7Xbd/Xe7XXeP/X7f3Xun03F6LXzXuKZms+nmxfjGcM/8jWO+jH11+bjrAPmSAfZ5hC0By7xdLx+KP5ht81rXjnande7PmYua+xTeJlLU4yEXDrc76JPQTkXE9S95njtbCM/BwevNfQ3sMa1Wy/XDyOXdaDSe6LuxjG/C94t9r9omhR/GLtYJs10L7Rg2L+jwRIq6JMa+XPkvhZDfRtVj2TaIf9SJfkT7umh/EehBN5uNkx127Tfa7bZ7n+jrYDtkO8hoNHL2ElwLdHAYj2GDZPmi0Wi4PN7dbtfV22g0ZLFYOP0dcgnovmW73cpkMinowNM09cpKkF2ALMuk1Wq5HE66Xp9uDzmldL3abiPyaHMUkYJNEv0U20P4Gtifh3WTWNf2FJ9tsaqP2WuzPRoMZfD52NWNgfX5IVapK+TLr/tsDe2riG9ab/fJViGZ61P3OQv5jer9bIvRciePwT7/HJ+cClnZt4/zHrJMGPJXxTuM5asoe8+4hioywGq1cjId5ESNWN4RLqOvi8cpLPNch8vxsm8c1+Bzha7Nxrr9UbcfPdSxPpza+zy16zEYTg2HyNd2DFT9dg/9je/aJ1pfY9gV7E8H+NrTrvHIux5XByE9W9VYrVidLLeXbeN9db9lvIOYX3idZ1mlPMN3zWV11IkTq1JuFz3Voftqn75gXxyrf7Z+32AwGAwGg8FgMBgMBoPBYDAYDIZPG5oD5dD+N7vCbBiGl8K+34C1XYPBYDAYDM+NU5HhY4CMFLvW55ajfH5uVZ/lIZ/5vvdt8mcRL/U9PBe/aJXz74rX0JZewzUaDAZDGQ4lbxx7zENcAMcqHwsxv37tl89xEXpbLI6hTjyFRij+Y5dl8KjoeBFe1zEZzH11DDCHSwiaG+rYaDQajqMN0OvPjSRJvDkMnhPMzw4MBoNnjakM5f1g9Hq9o/Yd7Xa7Eic6o9PpHLQNga99H4C7e1eAa/6Q0JyIpwDmeTwlMF/kqQBcWqcKnY9ApJgnQOSRI1PkaU4B5ssUkQIPJjjjlsul48KbTCaOx4SPRe4YcHnheHB+YR38J+DaY94tcIlh3ccBdgpot9tu/Aafm8hjzigRcVyrIuK43jDu93o913cin4CIuDwByMPQ6/Wk3+9Lo9FwuQRExOUnQLtkflb9bfM3dajx9ubmRkQe2xU4VMGzihw7aD9oJ8ytijZYt646ADct8ojgOXEOLnBH4tngeY1GI2m1Wi7PA/hrwU+L3CLgssX/Kfb3BoPBYDC8drBsG8uPpXMFQM6YzWau3Gq1kul0KlmWOfkTvO7YB37Y+Xzu5FPsE3nMFwe5drVaOblV8+OCs/YlwdzzyLEIXRrnYsQ6uIk55wFkICwPh0Mno45GI2k2m9Lr9Vw+rV6vJ2dnZ9LpdNx2kaLcyrz/kNd82EfWDMmYZf96PlUGyIxV/yHLl/1DJg39GwwGg+H0wDo4rbPTsorOUYzxCoAsI/I0lyjnDxV5qgvkHKGcR0fkaY4IjH++a9bXtC94/Nc6LNZ1cU5Xkd1yEbF8wTogESmMpbFr4jyy+pqqgtuEfm/8jjl37HK5lB9//FFEHt7fhw8fXG6GyWTidLesq0X7Qq6E2WzmlqGDhf4WuS2QHwW6XnCiHytfTgiw8WIZOlTWtSKXhYg4fZ9I8T33+31n3xkOh04WhS52NBpJmqYux2uapvJ7v/d7T+pBe9M5sQwGg8FwmuCx9tDQY/e+YLmrLnx5IpEXkddRv953fX1dkDX4OpbLZUG/xsfB9gu78Hw+L+RqYv0YH4d9LGtwWZYxWSY+FCBfIK8g+39wXjXN8czryJ/oO06k6Eun93HuD52zBOvIc6j3Ibd9GVcy8ltp8Dsqgz5evxsgxnvN/88tRxpeJ7RfWqydt9vtJ99hCK1Wy83zQrmCAPbRK/PdhH+H79p96Pf7lXxGRR7mIdC7l6HT6VT28UrTVK6uriqX/fzzzyuVFSnm9i0Dz9+rXEfV+VfZNew6fzcYDEVoXabWP7Je67WVPSRgJxV5GF9Go5HTscHPDICfGcpyX6X9sHU+WO4jodfielm+Rb2Q+bksjzuNRqNQL3wbGVqHvQtY78mAzrIKYPuFD2sMWZYV5jux/Oabzcbrj8j5aBnQv4ag51JV5n/IUV3nOc9ms8qyN+ZyItVy0PjeleHTA/T0PkB2Zvk7hE6nU1omTdNCfvRQPSz/JUnyRN7udrteGTFN04J9SZ9Dy+7I2+27RoDtTQDnoU+S5EkZ+JAD2m7lA3ySY6gi+1aRtdlWZjCcCrQcwuuxfXXXn7OuQ9veAe13x+tV971kHaceq1WGXWRm7QNbFbvYGHy2hUOe58cff6zsZ/nTTz9VKovnU+UattutTKfTSnLser2WLMuc7SIGyPMhPbwuy/aQsrIoU1bvYrGoNGc65bi7Tx2tVsvJnyEdNMveIXk4SRLpdDpBvTfru328FWXytE9WhM8M++r4yrx58yaoq200GvLFF19494k8yN6x2Luvvvoq+EzK5GD29/IhFltpvkIGgP0vRYr6Re1jqf0z9fjL+jEtB7Asses+fX2xfYcC22r0N8m+mbvu036hu+5jWTO2z2AwGAwGg8FgMBgMBoPBYPhYkeSWbcBgMBgMBoPBYDAYDAaD4aNGKKihyvK+x+9SV12i3yo4dHDEMfbFyiHxhaEI7ZzJCJFNhQKadRKe6XTqnES1cyYc/qfTqVvWxEw4BwfwIrgBAHkQrkurakES5Qs0WiwWwUAVkEtqxAIgQGAZIg869Df5scIX2KoBx38fGo2GCw4I7RN5mrTOFyTQbrfdtWhiLQBBtzHSFzjyhvogJi7odrvee2u32y44tdfrect0u113jn6/7y1TxbGXCWlD11sWuFslKNf6ZcOnCiaqZgIXPSbf3d25MZJJGmNk1poEm4McOJhRj9kc2MHjvA7aODQRJfcDOuCfgymqEmzrYCUObIqRXjPBNl+TPpc+zvqxl0VszhML3o0l5IvJxnmeyw8//BD8Bt6/fx+8nvF4HCRazbIsGJwMMnSffAmyUp+cC/nZ9wxAhu6T5xG8CxL10DWFngEI2Q2HBQfQMiCvIdGRDzguJD+zfJwkibdPC9XN/XKZfHl+fl5KqAgizFAwrE/GPzs7e3JfoeTU5+fnT8p2u13vs62T1LcOWWSdsnUSJNUJ3uv1eq4/wvgPWQIyAOQT7hMhA7DsAlmF5Qr0zXws+mSWYUJ6hSrg4EWM7zxHASknj+M8ZkM+YJ0R3jnLEnhfPP7jvfiu4RRwSN3kcx5zDLLzqvrCOmUPVU/dsodKhGx4HYgR6zz3viokOmXfbxlRUEz+Bnhu7ENZUgNf4nmNMqKqsqTeu5IbnTKq9j1V9IRAFaI/oA7ZdR1Sv1jSTo06RN915IE6cl4dubRMpwtoXUcMofeb57n7du/v7x0hU6vVkslkIuPxWFarldzd3bnvh2VOyIuTycSRVIGAipODIYEDSKRAdot57Xa7PVqiBiTBgN0ASWlhJ0jTVFqtlrMhtNtt6Xa77h8kQsPhUNI0dUm8ONHsYDCQXq8nw+FQzs7OpNfrSZqmhXeJb7HOt7YvWE/I/Twvs05Gjxfcp2odZGwf9/ea9Dq2j6+rrL/eBVrfyN9lbJ/um/i96r4oto/745jeMravTn9mMBgMBsOpAHIDywz39/cymUycfDmdTt1vPp/LdDqVLMskyzKZzWYuARz8j2BTwT9kUMifsHGA7JSTzB4zbBQJnKBrhw4Z+uskSZz/BxJoQE6FjjJNU7fc6/Xc8nA4dHOri4sLJ5989tlnrn7Imbo+yDl15lE+HFKvWLXcIeo+tO/locmmdym3a911bBsGg8FgeL0Yj8ey2Wzk9vbW6XvwD5kMehn8QxeDf+jrMabin8ssFovaxP/QqeIfYxN0MfiHjgX/l5eXhfWLiwtXfrlcuvEOiXQh87Xbbfm///s/yfNcxuOx3N/fu3uez+dOTsAzWK/Xcnd35/Sk0F2xjzqSHKMM9JvQd7L8+RzAPUPGxDrrQDudjtOLwk+61WpJr9dz5aB3ajQa0u12XUK3VqslV1dXTs798ssv3Xm/+OILpyNnuUOTGLPO7JRs8gaDwWAwGMLQcmCWZXJzc/Nk267/qKuu7yFkjtB/lTJ1/3WMQZl+CnrPLMvkw4cPBTkTPp3Qdc7nc7cNvuT4R70ck7lardwydKFYxu/QvntVwf7RnKCz1Wo5+a/ZbLr3lCSJDAYDp6ti39nBYFCIp4NeFHMIJNa8urpydV9dXQVts2VxI6YzMxgMBoPhcDiErFjnv25y20PLimX/+yT30n7ZHFvMPniso51MJs4HGnK3yIMc+eHDBxF58Bl9//69q+v6+trpMrle+IeKPCYlxXVxIjmW52MxjC8BjtFDUknIrJwkvdFoSKfTKSRpY/mx3+8X4qbZt7Df7xd0oSyjNptNubi4KMie2hdRy6raP9vnJ1zHH9lwfMTiNMpiH2KJEWOxHbG+L2a3icWDxHx2tY8woyyGOxaXoZNcMmJxJzEfkH1iHJ8bMX/gmH9PLFGsts8wyvzXYzEnsX4nFk8RswnFOB1iMSWx2JRYjEtZ3EWV+I1Qe59OpyfJP/W73/3u5BJ1r1arYF+DGOgsy2S73TrOMdhrZ7OZbDYb5y8InRtst9ChcZn5fO6tk+uqCiS1hp8evl+0VeaqQowK/tvtttORtVotyfO8UAZ+hmmaSp7nkue5tFotL+9a7JqZz01vh49ljFMi1o6Xy6W7No77036aXD/43PDjZPSoy6fT1OWwD8+Cnwkfp59V2frHiLJ+LEmSwnPg8r5j4SOAX6gs81voMr7jeTv8O3T74TpC707fj+/YXYF6fT7HsbaU53nw3NvtNrgPz8B3nrr76lxrDK/pm9n3fb/EOV/KlmMwGAwGg8FgMBgMBoPBYDAYXg4voct8Sej7fU16Z8PzwdqFwVAPdcaSuuNO3bqrlq/Kp1qlfMju7NuvfZ2SJKnkd4nYoiRJKtv09HXgPGwjZhtvo9Eo2HrZL0L7RsAGrctrO7vPhuw7R13wc2PfAL1Nl8O96/K8jZ+1rxzXp8vtc0+r1Uq2263jpxU53Hjk833wIea/w36TulzsOsu+y6p+BqHjRKTUZz8k/9V9vru8j1DeyWOj6rWaj4DBcHjsMseuekxZf1tnfR8cqq5Dx55o38BD1Rfbxu+kij+frzz79oX21922C3zPz/dfVq7ONuTPhfzDctaxYuuZf7VqrgkR8eaLBqfWLhiNRi5vWgzgCjsk2u32zpyv4DDzAb7XAMfycW6HbrdbuCfkgwidg+Nw9POYz+eFshyjAF9ytDFdL3zQuSxfwzFyUYBXDQAvhchjfCHAPBhYb7Va7rp0XfD9B9rtduG563yDOv8fz0Ha7faT68H1MnRbQHyCr12H4gkY4JMTERd/URXj8djFaqxWq8IPsR2I70CMh/6mcX79QxtCzAV+6E90PRxrwf7eofkzt3Edg4C5HLdPPQaUcVnXnWudKsry7XCfjGfCPv28HIr1eO5n5RtXtS6CdRu8jv3g0mk2m+6+0D4RIwSdD87D50c9aGf8HJk3iMv58nX54rGyLHuxttfr9Qp9UZ7njsOStyGmCuuImcI27nPb7XZhjg++9u126/oDfg+ok6H5P5fLZeGaFotF4R3P53MnKyZJ4p499IOx3Gn7As8G14v+ndcZ/I1CvyXyKAPgGaG/wn70bxirN5uNu39uf9CbHfoeAXxjuD/miw31Jbh+bGN96KHkCG4faAdV5g/7fHvoc7jtYTtfB2/TfW6oXjwbn67ZcDz4xhvwAusxAj9801jHd819npZr9D/edR2OD7Q/PYBIP44AACAASURBVCby+fQ5y4B7hezNMh3ibVEO2zCWon70gZ1ORzqdjoujZU67drvt8uLp8zM3CiPESVB3+3MDOZv5NxgMnry74XDo5GlA5/LebrfunQCbzcbl6BN5nJ9xOcQNI4cf5HwecxDXjbaDuQLGc8wvMVeEPIS2izbGOQtxfc/dj7EsyPMm7MNzxjeN/dvt1rX39Xpd0Lfgmnn8wzF8XzweQzYRETevOiQQ1y7yKH+x7MHXzGMQ2hTeTZIkTkfRaDScXIvth/qOmIuDr4/lHnwPq9XKPWvID/vqHtI0dd/jYDBwfdfZ2VmBu13kkY+D+S6YTwP7mQ9E78c8GnX2+32Xb340GrnxAxwEDJ3/kblsmINF8+Mwrw3nDtZcOdw/7nquQ4D5QpmTJEmKXCLMc6L5SUajkWu/6AuR2wDfMZBlmYzHY/nxxx/l/v5ePnz4ILe3t26carfb0u/3pd/vu1yl6B8wNk0mk0q5nTUwX8D4CflCpNivsEyAPAlVOHfArQXOV/BjcT7W0WjkeHEuLi5cjtbhcCidTkfOz8/dMefn5y7HluXWfBms12v5zW9+I+/evZNf/epX8t1338l//ud/Sp7n8sd//Mfy9u1b+frrr+WXv/yl/OVf/uVHz10G7j39++GHH+T777/37vvxxx+fjBvdblcuLy8r/b766iv58ssv5erqyr6BjxTffPONiIh8++23L3wlhmNA9xux/sL6jd3w29/+1o1R7969k//3//6fbLdb+fLLL90Y9fbtW/mrv/qrIC+d4TAAF+V4PJbFYiGTycTlL4O8m2WZy6WA3LLL5VJubm4cX+X9/b0sFgu5vb11dSLPVwxsE8RynucFnTF0BuBE2263slgsaumwwdWIOQHP14bDYWH+1ev1nJ7j+vpaZrOZ3NzcyGQycfOaNE3l7OxMLi4u5PLyUkajkVxdXUm323V69+l06nRYmEPF5lrMJxrjAd0Fep7EvMiax5L5J3k+pTktmYuS57Sa+5HnbsynqXkw2c4xn8/de5jNZs5uj7k95lTMpYo5Lc8/eV6K+SrPY9Fu8zyXm5sbN5fCO5pMJnvZSuAHwH7QzK/WbDbd2AHdBeuCDqEDY38C9pdgex3mmbBdNhoNp1sREaevgz6MdVSYex4KzAstIs7PSd9LkiTS6XTcudGeoZ9qt9uuveA94LpxH7ATQj/H82dtt63if7EPymw+McDezO0Mz4N1f5zHkMugLWA71tM0ldVq5Y7j54h6oAdlmypskPjOWH+Mfo1tk6xXOgWwXhhtiX0E8IPuh/Wq6P+63a77rvD9QJ8HwJ7j4wperVZeHzucQ+RRj492jNxG0B9CPwT+VfjyQF+L83Ped+jIqubYRH+m7avahlrXlspxJfqfl2P+fYe0H58qoB9mW7ZI0X7Ctm5tK2KwnULb4p8LuEaMQ/j+tO8d++WAr1fkUV6Enwm28bFor2xzhS0WfTzHfUHu5DEE3wi27esnwPYnvcw+Nez3gX4FtmRs53HqkLlyWX6AXUPbknh8wT72u2R7I/pZPEvu1/j5+3xaj2UfRFtD/ejfsQ7bEK4Hc3a0O58fFMC2VJTRPtB8n41GoyCDNJtNN/fBu4a9Ff2izxZ3zOcVg/apFXmc8+lt/My5HPdJ7IPLzwn1cVk+B8YIfS3aLwd1QC5nuzT73HB71NvQzrnvZH+30Lio38++vkcfA3w81iJFO7uIn5c65GcW8yvcBTymhpbZH5Tvif1duAz3Eehv+D65j+Vl9vHg+2VfDOQS4rzqkAuZy18D3x7s491u1/WV/EuSh9gU+K9UeX645irjqPZ/AerkDxApPhfIzD6+fF5nWRKyM/Pjc3lfv87H67gNfbz2V9f7+Dnp6zqGzKb7Sb3u86+sW1bHCfnq4e+67Pp8y3rMRZ1V28++fYY+/hj+uAaDwWAwGJ4XPtn0FFD3urScss997XLsc8x9Y9cViwc1GAwGg8FgMBh2wanOFU4J+85bXgte63UbDAaDwWAwGAwfM/ads73WOd+hrnufec5zzZFsLvaIU26vPr9PvQ/QfmUaPl/susefMk79+gwGg8FgMBwGPjnF5zdf5Vgdg8LbQ3E6Vc6DfaGcJdqvv2q9HO++6zWV1b0LXoLjp+ycvpi8lwLn5dA8tqcC5qTQ/LsvBXCTxqC5NZ4DaZru3LbAoXAM9Pv9g+dJ8vE41EGj0Shwlh4TiOErK/PSnGT9fl/a7XaBb+iQ2G63Tzha7+7uCjFZ0+m0EFO9WCwK8WLr9Vomk4lbbzabjg8FOZbAZc7bsyxz8d3gLeJ4wvF4XJi383VtNpsCb8pyuSxcI/NKgzvrFIEYWOaTwTL6DXCtiDyMy8Ph0LUF5pxttVqOU6rRaMjFxYXrP8BzK/LwnTIf89XVlTuev2HmwmIeq2Py3ILT6rn+mXesCsDh9Vz/zC1mMBgMBoNhN2i+PebQFHmaE+f29rYgR4KzNMsyWSwWMp1OHa/IYrEo1DebzWQ2mzmZ9e7uzsuFul6vXc7HPM8lyzJ3DOexZL4NnS/1JcDcJaxDaTabBZkU8gvmU+BIAbfUYDBwx4CLdTgcOv6/0Wjk5oVnZ2eOX/Xq6qpQhmVd6K+Y91VDy4K+bbv+x+q6u7ur9e4OIUteXl5WKsvcuAaDwWAwGE4TsdxmLIvoXFyQRbMskyzLHFf8ZrOR8Xjs9LLIjYD6wF+NHF+4Bsis4N/kvIfglwNnHOTcOnq3fQE+XehWsY7ccjoXA/j9Go2G9Pt9SdPULcPmNRgMXI7o0WgkvV5PWq2W47/u9/syGAyk3+87mRU5BZbLpcv9CR7TY+o5eR5TBc+t54TMbjAYDIZPFz4dStm+lyqn1+vqdsrAOYP0emj5EOUOUUcVOzHrQbXuFHIncm4tFgu5ublxstJ4PHb5PyD3Ik8XbP739/dO7oS8ulqtCnIszoOc3yKP+cBFnk/XCn89zv8AeRT80sgb32q1JE1T5yME2RPc061WSwaDgXQ6Hen1ejIajSRNU6dX7ff7Lo/tcDh8Ip/q/FQGg8FgMHwM0PowyBgiT3NTsiyS57nc3t5W2qflRORgFCnKPSJFO3Nsn86Nyfq+Q4HlNm1DZX+02D6Rov+glhlZ39PpdAq53mL72A9W5+7kfeyvGMIusjr8ZWH7h0y52Wzc8nQ6dXVPp1PnPwv/AOhRZ7OZyz8C+3+WZU/yvC6XS5dfB/s4Pw/+j5UzB88U+lPODQh9qs4ZqP1a4dvKMSlYx7/IY/wDtuFeOUcYci7qdh/Ko6jld8wZfNB6aeiyQ+B6y/JMcT6kMn9k1HMKfh6Gw4FzHoXi03S8iI7Farfbwb4N31fMZ7jRaLj5og/w6+G+VQN5kEKxLbhGzoWsrwHH87jAQL9/dnbmjX3odrvOTz52ragjNh4gN3YIsfgL85kx7IJddYynWJbl4EPiufSdhy7HueMNx4P2142hbq5tnq+VgeePZdA+G2Uom+PB/1jk0S85BM5Xz3MWH7Q8O51Ovdfhk2ehr/eV1fJsnufe96Lz4fF18T3EZO7NZlMptx37W4egz+ObgxiOD+TZBHiZ55K8H7+QPQr+5yEZr91ue/PRA4jT9R0PGdcnbyPmOSSv93o9OTs7884VWq2WvHnzJijHX11dBWVrPY4xyvzmY2ObjiE1nD607KZjYnkc1HpTPaayrjLmf8jnqFqH1svy2M/23UOB53V6fsjzQf6W9LfD34r+NnhOqvWcrDvVMd5V6jD7reG1QH/XMVSVnbUtJoQqMr6vjM4TrrkqRJ7qmeGXosG2nul06tX3cuwfxxTq8+GaOIaQAV8Y3ENIt4wc2zxf8NUF2d9XRufs9sn9+vpN1707WLesEeO4Yj94Ddh0mPOJAZnXJ7/ClhOSmy8uLrw6WfjQ+65nOBwW+FAA+EKJPOVN0uMx7iPknxbTW3OcqT5/mQ7aUI46NvND2NPr2Np33XcIaLmP5U+WMVkG3IXPh9ux/g7YLs/fAdv9WU42GdRgMBgMBoPBYDAYDAaDwVAFSW7ZuwwGg8FgMBgMBoPBYDAYguDgMXaYZ0crdsBnB1vtRFu3Lu30zw5bTL4RqmtfxJyZQs5Q7EzFjk371qWdsdiBSgcXVCEveW743osv6CLkzH1zc/OkLIhRePtyuSwEICNgkB3qQIyiHcGZTIUBx+gsywpOx3CG9pF8wGFZBzYyqbW+b5CH6HNg/6fo3MzkMBplTsk+p2I4JPuC9UCcCLJEDZBS+ALfQLLIDsIMECn6rrfZbDqybx96vV6hj2C0Wi25uroKEkjowCB9zTEHy1g/YokFDQbDoVCFSHkX8uVjLIvUI3cow6mTkcT2HTOZ70siRPYRChTWcxWA50CLxaIgDyLoT2+fTCaOuI+3Z1nmyDpYFpzP504G1eRzIP/zEdjpgDmQBmKZCedYXuV9Wo7loD7fs9DyreEBkD1Dci5IEH37NDEio9PpOBnahzJiilhgGhOKa/mTAwKRpJGvWfcZIMAAer3eE2IOnuOChI5RluQ+RloBhORsvs5YfxcL/jN8fGB9BfRb0EdBZsCYwWUR8KfLYtzxlQXphS5bB0wwAR0S65Z8BP5o83wsz//wzfBcE98i9x+YT7K+KhQQewjwmFxlWeueWF/JJCcsA2gdJxOTsMyoiQdYfmT95aGDP0PBnXruHwro5HelyUlCQZxaV8mBn0yKonUTfA3Wj+6OkA41JKOGSDFiZBk68Nn2le87NZTJS2U6virfaJktokwmqxIEXjaGxHSgIuWEZSLlJL1VCBzKZMsy0s8ykmERsUSIHwlYPry5uZHpdCq3t7cym83k9vZWsiyTu7s7mc/ncn9/L7PZTLIsc0SiIPKEPQw6A8gWsGWBfGe73RYSVh0SIPHXyVMxf4S9pdVqueRUnU7HLfd6Pel0Oq6vwLfW6/Wk1+vJYDBwiahGo5H0+30ZDofS6/Vc33HsxFQvpYusu1yH8LYKDq1P3HXfrnWYHctgMBgMnxI4wRTsTJPJRLIsk+vra1mtVnJ3dyfT6VTm87nc3d3JarWS6XTqZMvJZOL0kbBhsY0KNinInrBPwZcJdqRjkKCzvMl+PdBJYh32kV6v5/6RWAaJUJEUtdvtSrvddjIm+950Oh354osvRCRsHy2bQ7I+l/WAoSS3Wj/D+sqq5VivqcsxKV1I/6nLHQKsM+BnqfUNXI7lOF2O9RwxPeUu5WLkygaDwWAw7AqM477/m5ub4L66ZeskgsWYXOcfifag3+52u072S5LE+RGt12tZLBaSJImTeSBXQj5iuRXy53a7lSzLnJyJRKec8BQ+9sf2o2dfHfaDgayJBIsoB9mz3W67ZTy7RqPhdJ3NZlOGw6GTS4fDoZM/BoOB8yHHM2b5CLYHs6saDAaDwfDpADobyFCQ/aDXgTwF/zXIg7e3t+4f/kPQE+m6IEvWSWYJeyx0J/BxgM8G5EfIOdChQbaBv8Pl5aWrC/GC0LVBzlqv19LpdOT6+trpMSeTidNlQnd5f3/vZMnpdOqS9cxmM6fPnM/nzl+ek2dyfCfkW7arP0fCR/b3Zns7bO0sg7L/ni9uudfrOd8Z2NWx/fz8XJIkcUkGkdSb9ZxVY6DNb8VgMBgMhtMGYh7YZjyfz51v2e3trazXa7m7u3N2TMiE4/FYNpuN9/jQf1VAZnzufwZfM2zsHCMynU7l+vpaRB5iRTh2aDabuTgfxA3N53OZz+dOBl0sFs53c7FYuHPN53MnZ0I2xbKIFOTQlwAnF4QMimXIikmSFHyoOSYQ+s4kSZxNHv6hrVZLBoNBwZ4/Go2c3XgwGDhZVft/av8/9tGOxacYDAYDIxb7E4vVjMVZlSU3jvFQxGx6Okk7I6a/iY3JsdjFWIL1UFyaSHki5pjvEXPEnTpiY0vMbywWjx6LrYrFK8X8mMriJ2IxTrF4s06n4/Rm+IG/otlsOg4K6Nugq4Rtl+NcFouF80eEDIVti8UimEjbh11s3fi/vLysdcyx5Av+RrhP4O+D+4Pr62v3HSPmSERcfNF6vZb5fF7Qh85mM8d3B39PvCveLvJo4xcR9+5EJMgbcgpAMmoA8Uoi4nTN7Xbb+Zy2Wi0XbwSf0zRN3XecpqnzIcU6f1eDwUCGw6EsFgtJ01QuLy+dfhRccmjjiI0CEDuFMQXrQJqmbv6Ac2nda2xcKYtxjfXJZfHtsTGrjO8g1t/Hxh+R+HgYG59FDh9T9Rwo81WNjTllPiSxONay8UOPZ9wnJElSOJbbsIi4OSGg2yjfL/iPANguRMSNL/qekiRx/kYMfOuI19RAXxEadzqdjsxmM28bSpLE+Tb5EGvXZbJT7FuLyYCvKcZdRNzc3wfoDRjgsNLtiRHjTWo0GtFvazQaRa8nFMvO/bzmnEWcrA9JkpR+641Gw9vOer2eu548zwv72+32k+8cbRE+bBqTycTZDPX2PM9lOp1GYwkgZ4g88vgyB+/9/b1bhu8fyyBZlhVkFMQ/w29Q+wpWgX6XdWMhkiQp/LhO3z68d97G4D7xtaLb7QbnCnmeS6vVkna7LXmee/mS2f6P7cylnOe50wdyH4hy2K/rxjr6CFwj1rks1lEP76/TvupCtwvcJ66L13X5PM+9vMjYh/187Tiex1Nfu9RjDZcp8414bfIV0Gq1gn09dNkhxHj7Dl23bo8+2Q99JOY4IYT4uvncu+7fbDZ784XBF8gH/jbKdEdVfMkho8ZsL7oP86FKf6H7mFhdZaiiN3vOa6paz2tFaCz3ldu1jG5nsbp4HN0VZefSbaeKHMVlDjF+1q3DuGsNBoPBYDAYDIbXAfgGMnaR5495jC73XNcnUk0vcKzzax3kS8ztDIZjIaanDa2HcsGE9rPe1Wc3KkNM1wyw33aV8riWqmW57l10T5wPJ1ZG2y3LdNox+HTl4PPwAbZP9omvA8R0pml68NwZ8KnXYO6Wl0Io9yZjs9m4mAn4qPE6/FcROwF/JKxzHIUG+Fngr4cf++8hZrnf7xeW2deP/d/qIM/zgu8Ux++WQdsgGo1GwX8Btn/E7SRJIpPJRO7v72UymTiuR+SxgR0e3DuoHz9tT2f9/a7jsu7b0Efgv9lsOtswtjP/I3zxYBuGLQn2TPiZwsbVaDRks9lIo9FwfgIiD/5BkFHYdxHLuPd9wd9bmqaOK4n9DrGMe8Qy+hW2EfIy3gm2A1w36uNlrhvLId+lXYBv8hDgXND7yoKI/zcYDo1j8M/H2rv2Za5b7y7zRPhGx3CMWA3NL1zme1A3P2Wdfu9YXMcfA+rI+lpXwPD5gsXOp+dJnKsEskJoboB9PGbG5nMij9+e3h6as/A8y9d+kiRxcgLarh4/4ScXanuQe3zQchsv61yv8IfBPub4Zr86LqN96nhZX4ehiJD/F+RgAMuQ17RfRmgbt4k6egSUByC3MrAN29knk8v42hzXr9utT3dofa5hH9Rp94fqp1hn5huHwOWFbTzfw37OpQm9DnRS0JPhGNQPDgX2+2d9nNYBgSMBfGd4BjwGYe4M/cl0OnW6hfF4LLe3t07HAP99oN1uy2AwkMFg4PIyQO/CfUGSJM6nP8/zAgfGdrt160mSuPgA9BU8R0RMwCHB743HeDxT9rnW/Rqvoyz6RPZR17qVQ9lQPnbwN8HwxbaISCGGE+9yu90WeEwAfE9cD/RC+MZEHr4PvCt8y4ifRWwK3jd0dBynwvEv0L3F2jC+fb53rPO8ELJqu92W+Xxe0KHhvNw3ap6Cuvw9+4D7O5Z3QjJmnW9D6xlZj8h9sy+uAvvX63XhmPl8Xjg2y7KCPFQWB7ULkiRxOt88z509HP0IYt02m42LXd5sNoU5znK5dO15uVy6Z4H33Gw2ZT6fuz4NXEUiRV6ifdBoNBxfANoszseyb6vVct9Ns9l03xL0uSh3qPhzjJ1JkrjxE/zt2+22EGPa6/Vcn453wvFM4IdHm9hut4XvFWMVvzd8+yIP/RTGOn1PvphRHwdHnvvjR33x3bH46UODeS2SpJi7l+OWNccFc4xynHEsrxBzQOlzoT9E3zsYDNwzbLVahTjENE1lPB67dwl7CeLKEYuLPpPfB+La8YwRm8s5meoC3zRsiN1u1y3jGnFvaEewjeC++Nsuw+XlpXvOeKZ4B3jel5eXLi4dZSD3XVxcuG3Yf3Z25mxqxh/76eB3v/ud/Ou//qt899138u7dO/nHf/xHmc1mMhqN5Be/+IX88pe/lLdv38rf/M3fyGefffbSl+sFcrKEfj/88IN8//33hW0//fSTd3zqdrvy1VdfyZdffimXl5elv6+++qo0F7nh08I333wjIiLffvvtC1+J4ZSAfsrXH4V+v/vd757IBeDDKuuXuA/77LPPXtznKIT7+3v593//d3n37p386le/kn/6p3+SDx8+SLvdll/84hfy9u1b+frrr+Xv//7v5Y/+6I9e+nINBwa4qJA/YjweO/+y8Xjsckogf8Tt7a3zNYMcf3Nz4+YAPp7kKnNlzDXh04g5J+bEaZrKer2Wdrstq9VKms2mLJdLpy+FrhY60jo2eOZygjwBORxcf6PRyHH3sv8cts3nczk7Oyv4cIE7Zj6fy2AwkEaj4XjQUG65XLo5dJUcuJpHk+erzEmm57zM7aX5xw6d99b3XBk+mc037/HxCPr4vPr9vqRpWvBbw7NfLBYFPXO323X6dZGHZ9HpdBz/H7bhvHhO0FWKPHD3wB6MeStyR+MY6DX28bVi/17Oxce2E5FHHhnYAvjbSJKkMLeGTmtfMK8N2rNI0T+m3W67ZwY/xTzP3fb1eu30cYvFovBN4BqZV1FEHLf4oZCmqXS7XVcn8sKgz2GfCB7D2daB+2IbBvRz2IdvFPtRRuTRRsJtjP0OcG28/Nw2EfTP7G+CPOJss+v3+4VvVnOLtVot6XQ6hf55MBgUnhFsDeA8Xa/Xrv+HXyWeE3Q40Mmy3QD/sCeEgG8LYw773mMb+hRsZy5X1qWLiMshpcF9xClA2xmwjHas98VQFu/B9cfWTxkcy4HvH3pufmYih/XV4PGO7d3QpbN/M8diYDlJEmcL4XJ8XLfbdfadzWbzhC+QczhgeTabFfpqjFfdbrcQW9Dtdt33U6bbDOnqfSjjQmW8Nq7H1wD9Lo9h5wv1K2X+iWyT1D5h7G/B3y/ugde1fxePWxijjwW2BQPaVw5jEt8j29ZEHr93n/8w5BH44cAmjr5F+7Xx9eDe+XpC/pmw8bGvCMt1OC9vQzlte/dtewnAdqfHT9hO2T4P3wrtL4pnz3MUbddn/x/GS/vG+L5H7UOg/3UcE47BeAQ7MPt4cqwToOcNqEfH+lThYY3tj/F0i4iTPavi0POXjwHc9x4bIb5Q7PP5vfjWeT6OfT6fOJFH3yz+Rrgsy0U6nlGPAZrv8uzsrLK9uEqcLXyzfOBcAYcC4n/hD3YI+OKifYAcWxWH0uGzf0ootlpECnNiDdYN6Ly8zAuKbZxjjWMmfTl9oUfylePYDdZp7CMHcZ/N31dsG39behv0KNr3GOUA3sbfVKgfynM/L/6uQJ4Xw8cFLQ8for6y+Y6e55RdW0wPE2v/+4LHQP7X3ynGRMjMGPdYjsT8BP+sKy/jzhAJ88vH+uQYcM6Yjp1jgeDHib6T15nLn/9j/OJavvb9WLeZpmlB91lFP8Pn8SHP82AONJHyuNUY9s0p9Zx+3HVQR+dVt959cWo6a4PBYDAUseuYustxvmMOITM+l16sTG/J61wu9NuF+4xtE6wL1jHiobgvEXlStuxcdX4ij/owvb0MuzwPkaf8MVX027ueqw50/H6V8mWo0tar6vfrni9W/rnv8TnrqjLHrXu+l7bBPBeq2np3HYeOiaq6kbrw1VlnbPxUUKdNHKPssc6/b31lOr1d6z12nYc+v/a38H0v7MvA69o2rv3WQn3+KXyTVduGb7mq/LDP/n1xCs/4UCgbQ3bR+Z/iWPlc+JjahsFgMBgeEdPLlI2VsblmaMzU8qFvf9mxIdQ51sa146FM18c+dz6U6THLjq9af2x/2Xfh47vn/WU28Cr7tZ8jI+TfBx8Frh/+hOwnpuvmfXo/x8BpxHzfRCS6T/PA+u7Dd/+IHwtdT4xTK+bHBX863zljORZi1yMS9l85RWhOPobPX5N982K88ohb8iHk74o2GPLziX1n4B8NtS/EKfoAXyZfm4cfju+dwrcJsYwaiEP3+e3ie+e8KdpHKM/zQuy5xnK5jLa1kE8keLdiPjeTyST4LDnvxWtC3dx8r0WG4PGPvxH4lGH845hgzrfEHKLNZtPFCoMbF75hzGkH7pRmsymDwcBxvA0GA+n1eo5LDd8y+N9ERH7/938/2Hcw994hAN+yY/zf3NwUttXly+OcTaH/y8vL0jJV/o2/zmAwGAyG3cF8Tdo/nHmeRIocUJofaj6fy4cPH9z6+/fvXdn5fO7Kgn8KfNLMEYV5B3jcEafNfDXMoat525mj+iXAnBmILwaY06bf7zu5dTQauWVwgDWbTRmNRi52YjAYFLjAOp2O4wnr9/sFTjHwCrHcyVxWZXITZL6QnKi3cT5Q/sd71f/g0sA/czpXBXi9NIea5lLD/8XFhbRaLTk7O3PPE7I/nmOIS/lU+RQNBoPBYDA8QuflYM5RyCEiRdkWx4AzBXy0yGG8WCxksVg4PTE4ALk+lqOzLCtwfGKZuT+Zgwg2qOeMS+G8Z5y3DPpV2B+gJ4VcOhwOne51NBqJyINsC7lzNBo5ft3z83PH3YjlTqcjl5eXTh49OztzOVc6nY5kWSatVkuWy6WTESE7QubU+km8B8xPkP8D3La3t7eFf513KQbNLwe5EbIh5EdwyLLMyf/n5+cunwfkTMiikDcPrSs2GAwGg8HwOsDyK+tGmVcWeQ/m87lMJhOnh0NuheVy6eQm1retVivJsswtQ8ZFOeQqA/8LcpjBdwgxiIfO9xoC5E+2+4MDHlx34N9vIZkKCQAAIABJREFUNBrOP6Xdbjs5FXJWu912+sHLy0tXz2g0crnoRB75x5GfFzx1yNm4r229Knaxi9exraMs+0AYDAaDwXBIsA6Ofcq0rg56G5GivBPLRaRzDN3c3Lhl1s9pDn++JuZri13TIcA6Hp23CLokkWIeXZFiLiO2S0LWAXbJ2Ru7Juiz9LJIUYfK74uf52w2k9vbW5ePF+/x9vbWlf/w4YOTN+/u7hyP7Gw2czlVOI97lmVOJoWMyrIq5LZjcOYzVw3yXnD+FviCwwcVeWg6nY60222nA8Uzx/uDXAZb/cXFhQyHQ5fLN01T9245T7Mvd5XBYDAYDJ86WBbRvLxV9x2qnl33sRx7CLC8F1quWu7Yy/vqp9inlWXU29tbGY/HLncs9KfQm04mk4K9ebVayWw2c1z60J1iH/SoyCPJvNqIr9Tci4cE4qQ0Tzls+ZBR8VwxF8Bcgm3a0AsOBgPpdrtO/ry8vJROpyNXV1fS7XblzZs3rh5frtWXRNV5Wx1/AO0PHQP7g5SB56wxYH5URY8MH9wqueju7u6cL3asbSLPLOZbMSCPcwhsR4A/je98vD3Pn+bjCr1jzCfLeBOr3PMxc699StC5jBgcJ6wBfyPUof3XOfZSx2EjbpvrANAvck4H3se+UAzM430x44g3bTQaXl8ezNdD++Dnr8G6IY3YGKn1SL5rMRwHWjep5Tju93XZkC5U6ydD+dt1XEVIB6v1oiH96SEQ01uy/MDxKqzrQowHENKXah1mSNepdaKsO2Vdp30nBsNhUCWXcpV+p0xm3uU8q9XqyXl1vhzEI/K6lrEx/wNgx9DXx2V81wqbhoi4uEiG5u1B3CTg8ynHtYZ45tnvJ4TFYhHNw1DGqWR4AOfq1IjxGLXbbS+nEHygfPxP8Mn3ycewZ7EMzBwqIuL8pSDfAiwDIx4AwLjd7/cL54V8nKZpoa5er+fmADwuM7QNks/li9Vk+eFTxiH0ki9ZB9v8D4GX1IHucgzLxAaDwcB6gRDKdNZlcnJMjz6bzeT6+jp47Pv374N64sViEZXhb29vg3MA3JNPRs3z3PFMhI7VsjcfC120T76Frth3XujEQ3LxS3OTnAqYb5ZlX871qnUtzOXHx8D/X3PBNhoN6XQ6Xp0v5F3mDkRd8NfSMvJwOHSyNaPT6Th7GdfFcQcsk4LHpdFoOLk3JJ/67Gk+GeC1ybesr9R9E+/T+tDYPu5HuL9iPScfE4sRZzmT5c8q+oQ64HkMz11Y5kOcsMhT3SfrJFn/z3rQmH6TdafwPRQptqeYL6jBYDAYDAaDwWAwGAwGg+E4SHLTIhsMBoPBYDAYDAaDwWB4RrCzDDvowKGGyRfY6YadadgJSBOHwXmHg+nZwafsPDqh2b5gBxh2xgo50MQceOrWpZ152EGsSl0+8DsDfMFXPifS9XpdSPIG/Pjjj0+OH4/HT46fz+cFJyzUqZ1C8Q612uv+/v6JE+d8Pn/i+AmiYwYI5jR8DqfPmZjjOcDJP3TwEQKStJMXtmvHSDhg+hwzW63Wk4D+VqvlSEnYMRIkziLiHDdFHhzQ0P5RJ4DvCgR7ACd4ZsfIfr/vzolAI5FwguaQY2UsOEnk9IhQDAaD4bUBsgnLcJqsiWUFlmVYRmTZkWUbljVZvmFHcSbR4HNrudInn+wClhfZ+VrLjuzIzY7g7NTNTuUsB/J4x2McE3LwGKfPzfKlJvE4BrSzvkhYruf3sNlsZDqdyv39vWsXILCazWauTYBQGEnegMViIfP5/ImciOQbjO1264iLdVlOXizyIKOCnBjXyiRUHGDEx3JQEhNjcbvThFkfI3xyKAie9HZ8FzrwneVVJnjSciyC20HurM+JJM0azWaz8M3ofW/evPEG/idJIp9//nkwyOKLL74IkgJcXV0Fk8fFgodjSY5jxFKWrM5gOBx4TIMsA3kFgb7Qm/nKQs7RZVlu0WUhA+0a3Ia5LmQQ9BcIQmN5Rpdl4lEuy/KGLos+h+vdB1VIKk5h2aen2wW7kFBULXfMY2Jj1KlAk5d8itsPVTfr/k8NMbnH9j3fPgtGNhjKARvtbDaTu7s797u/v5fJZCLT6VTu7u5kOp3KdDqV2WwmWZY5snvoRkB8D3mRk4biB/0DdBv7yiwgpgPBB4g7QPoBnVa/35dms+lkxEajIWdnZ85+1O12pdvtymAwcDLq2dmZpGkqw+FQzs/Ppd1uy+XlpXS7XSd3sn4rRsDsA+smeZl1VLwc0l/yMtvbWa8Z0nHyMo+pMdK1XcE6Q9ZdxvSYbCvj5RARb4iUN6QDDdnC9XUYDAaDwWCoB9hLN5uNXF9fy3Q6lZubG5lMJnJ/fy93d3cym83k/v5esixziZWQIAby5Ww2c/a5PM/dOpLVb7fbQjLXYyT45CRK8F1isjgmiEOCkG6364jesNzv953MCbljNBoVZNDBYCDn5+fS6/Xk7OzMJRSBXBLy3aujOzR95cuVqztfMBgMBoPhuQD9EHRMNzc3zt8Kch3GdeiYxuOxbDYbub29df5xkN+gY4KeConfqyZYhPwD+26n05Fer+fkK06inue5pGkqm81Gms2mbDYbSZKk4Fu1XC4lSRJZLpcu4SB+SNSJ+AAkk4ce8zkSyrN+E8TIkDWR5AN6Tugju92u04EOBgPpdDpOx4bE89ClnZ+fu2Qbn3/+uTv+s88+c+eFbo51nebbYzAYDAaDoQq0vAgZ8ObmxsmJ0ElB7hyPx7Jer10idtifF4tFQSaFv6MvFiAG+I1BFwM74cXFhTQaDfcP2Wk0Gjk9H2IeO52OkyNFHvRcrVZLsiwr2GU7nY68f/9eRMQ9hzzPZTweu8QiSAyIRH1YZ9s54k05PuAYYH95+Lfj3qH/5DgRyJm9Xs/Jn3he7Xbb6S37/b4Mh0NJksQljG82m/L55587+fT3f//33Xnhx2nJrgwGg8FgMNSVEbWMCX0l9JSs09THlwF6SejI2KbbarWczvLs7MzFs5T9t1otyfNcOp2ObDYbx40xn8+l2+1KlmXy008/iciDnyDic8C5stls5MOHDyJSjEm9v793voCIEVqv1y5RIBLgYRm6TY6HPbSeMwToPCGLQh7lBMfQ+Yo8yJaQy5FMTeRBXkSc4nA4dAmw+v2+80ns9XpOL9rpdOTzzz8XkadJrqr4IRoMBoPBcApg/3+NWCxdLIGwTrLJYF4UDc3RohFL+hvzG4slgPdx1gGTycT5ErKcs16vZblcOn9D8G7gh/3Yx/Esm82moJ/T/68FkGv5uvleoMfje8XzgbzFukrsg2yL58bLOMa3nTlNuB28FKcJ9KAAZE8RcbpMkYfYF+YQQTLhNE2d/Z65eODTAHs8/DwRkzQajaTX67m5QrvdLsS7c7wLJ3zV+0SKMqzBsA/K7C+xfrhsXIiNU2U8rmUxbLExJzYGisS5vXy8qIzYeBYbX0Ukqpso4+uIjZWnjDI+sTI+2zKf61hf6OP1ZHkBvmgMbq/opwHm9BJ5TCKPffxumasUcgcD8QbgKtNAXEKoTXQ6nYK9UgO+cj7AL84HcNSE9CKx7y7WRmN9Qdl3c2pAe9SyD3BMmRH+hYhjgY4tTVMnp8CWC79CtFOOdUGZN2/euLbYaDTcf7fbdTEvoetgHZtGjN8lxvUDHr9msylZlrn2hHikdrvt9Mci4viQRB7aX7fbdTzUeA/MA5jnuVxfX7t9fI7NZuO+qe126+YRIuL8SkUevxEAtv9DAT4KODd8RkWKvHeQy9H/oU0AzWaz8D1q+3ur1XLchVouhi8p/Gih0+X9mEfMZrMnfTCv+3gUXyOqcGP6xiPuHzAHYPBcrNVqFTiq8zx/0qfyuIN5KwO+HSLi5ruMJEmk3+9LnufBPrnb7bo5sw/wzw69V54D+rBYLCTP8+A4g+/Lx8XItg/ffuYCRX/J0HIn7y+TaU8dZW1Uzy01yvzEY/yRIuW8XmXynJ7rapTNfWNc7WVjVhkPfNmzDfHLA91u1/mG+YC+oQp/RxWZqWpbrhLbGdNHAmXzLpHyeY5I9RwfVWy9sfkrUDbnEymfJwMh+Zj1jTG5/WMBOCMBLSNzOfQXsTYI+TY2puR5/iQ/hQb0mZB/feBvz8cT7BtztewVGlcRiw5f0RCazaaz5YeAOmL9YZZlH4XsJSKOAyoGn3zFSJIkOgaIPPTTsTpEHnwHYs/dp1vQAJ9VCOAdiGE4HEbH01arVSqzst+FD41Go5Sbtcp5qjx7kfLnsg/m83llbqxjlc2yrHRMAmaz2YuXBd9HFdS5N3AaVwHL9Icoi/G47Bq47wyN274x6VMY4+ug0Wi48baqfgzjeVkZ3/yW++aqvIVlc9aPFbqv9T2DQz0Xnw4JcSpY1pw9yC0GGRA/8PXAJosysTkY68+qjEUiD+PjYDAoHZP0mM82ZEbZPJNR1UexKp922fMByubKjLI5u+F4qDLnLsOhdF6HsFGWzcXX63UlOQv6g9lsVnn+Aw5coEw2qCITwaag7YMx+HJZsi1CA7IG81lgnfXH0NeCK4O3+fIS6WNFimNpKI/RruB+jvNFaugxBP/8fPid+8ozQuN+qKzIfvdpMBgMBoPh04LWs/r8zGPz733n4T4Zi/Ul+p+vmcuxXR116npi++FrxP4rIofJd6nzipehql6R80q+FHTeyzKw71AV1Lk/8IQAZXGmsKVVed7r9fpJ7k4N2OEgvzebTTff47gDnu/wteK5wFeSvy3E4+LHfC6hXwj8reAb4HNhH7Zhv0+3GbKjGl4Gvrml7u9Yr6n7QD0ecBmfXhu+eiLFmBtuFzpOB/DF7PB2rlMvv1bo8QVx6fx82WcAPmmId2LfSo1Go+HK8zIA/lLUAZ0M++5tt9uCLyWOgX8d9C9JkricTFx/1bFrF0DvzgCXFPaj/bIvKj9XXCeW0VfiGazXa/dtaJ918LXiuKp2xTLgu2P/Wva/RLvnmDcsbzYb965Xq5W7j9Vq5Z6Lz+eyLhBvJiLOJ5v9NmHv4P3gnsA98v2ijeEY9qXBuIw2tlgsCt8E+3pq2YNzBQAhv1G8T36veF6+srpts36T6wP4nFVtfp8yOp1O4Xvlf/4mdWynSP34TR4D8S2hDfJ4yWCdMvpHrNd5v7A9o39Cu9b8zCIPbX273RbiK/hacA/4FtAfiEiB5w/9OrdZ7iN0fC3OwfeE43z3GZI5X/t4LfLYVni96jGhebRPjg6tH2qufUjoOQTPjfh71evcbkUe2xKelZ5zANy2tBzIfbDukw95v4Av9oTB1+6Tm33y7LFkW58uBef7GMYjH4+nLybAF0fg8z3w+UKAw0DD5/vv8z3Y5xp9Pv6+a9QxbL1ez8lAHOsIH3W2sWM/c27ABx++/+xvjjpg6+e6YHOH3byq77wP4H4FPxfnY4WPDZ7Rer2WNE1dbBj3A5DnwEuG+0Uuhqrf3cXFhTSbTTk/P3dt5/+z9yU/0mRX9SfnjJyz6hv6a7d/NjaD1Y1ocAsj1C3LQkgIiWHFEiEhhFizR8AesUYIhMQWNgj+AEDdlmxjwEjdbg8y2NjddNec8xy/Rem8OvHqxZSVWV9Vfe9IqYyMfBEZERnx3n33nnsu84X5Hye1cWm5sQ3vB1/TyWPfWK1W+Na3voV33nkHb7/9Nr7+9a/jm9/8JsIwxGc+8xm8+eabeOONN/DWW2/h537u53bOfT4/P8fR0RFOTk5wfHyMk5MTs3x0dBRZd3p6itPT02tzsmKxiIODAxweHkbeXcuPHj0yn9N44x4eNr7yla/gG9/4RmTdX/7lXwIAfv/3fz+y/vXXX8cv/MIv3Nqxedx/LBaLSF93enoa+Xx8fHxt3enpqZPv1+12I/3e4eHhteUnT56Y5cPDw0S9k23xve99z4wt77zzDv7jP/4Dm80Gz549M2PLm2++iZ//+Z9/7jFMj4cBzjWY02vXlcui05y1lkgW0C+ivjH695hLV61WTc4c/XfAFQdU47zz+RyFQgHD4RCFQiFXbpOC80zl1HPe6vqOcxLm6id9p3Nlzolc39kxF9V61PxvO/fcxS935Z679CNdvPK4+alLk8uV3+3KQ3dpC7mOO0ue9/OAndsc57fUGCXX275j+qZ34dtSP6ztg1PuhPoa2YbHYi/r/7lrPTON9aqfH8A1Lol9/ISeg67jPvXaMl7G5UKhYOqY7zIWmATbd6HnxeMC3P7cJJ5JHOLuAxfvy/6s96h9XPrZvo881z4dttYCcJ37ZceNNb7GGJnG93h/2NwQ9ffZXBONE+a5p/TdXq+w75ekGM9dRaFQcGoD6PErN8h+PpXvViwWr+nq2p/1WbLj5fu4ZtTUJd+A/TD5C4Tq7QIwenW8F/WepnYdcBW3Bi7zHu37pFgs4vDw8NpxaQ6y7tOlW7BcLp3ztFarFWkfhiFGo5FzH+Vy2ZyTva+zszNji4RhaJapO8fnlHZWGIZmWfXnwjA0NZ61DYBIG7V7VH/Hbs9nV9uz7t1NoVrLvHf1Pgbi42fFYtGco45bhCtuzmX9bh98KZtjZmuOZfnsilnGxW5t/p+Lc0a4xk/7t1x99W2OubbNwHX2Z/sY7THA1UaRxgGIW3dTJPEXsnAb4hB3rPdlHPTwIMjPIuL6A7VBsyDPs5D3ucm7730dS562rrmt7y9eXNi8MhtJz1lcbj51qHcJ2sMuPdddwPYX3RS7PE6bD0kEQZCZu6LzeJ0zKm/H5vfG6TvoMo/Pzktw7cO1bO/vpn2R/o8639Nl1RbSfAadn2jeA+9l5QPby8op5n+ly5pDeZfrYDPPglwtrW+u31FzhPMrfVffkB1f2QX/0vY1KrecuTh8cW6pulHlcjnyzn6Fdc11uzjkqVuf1RfG68X8Ceb36PXlsuu6J+XOuq6H6z3uOsZdC/UlbMtvvQk3Nst9FKejuu39F7ddnOarh8eukcVXnraty+/iapvWRvsH2+5Jej5tuyatz81qU3EcT7ON1Mfl6uPUNrCRlptOFAoF1Ov1XBxj25/I47N9yBwj8tgTlUolVVPYbu86T63nfBOoX/+290GORB64NB2n02lq388cTQ83yOEg94cavoPBIGJv8p05EswTVRuVcS1XXDIv1MZUW9O2mdgfMH5FDRLOhcn1Wa/Xpk6k5iTa0Nxu1edjTjhftMn1s+pVqN2YFO/jfEj7cT0vnrdtJzIHWm1wF69D9QWBeBsqLT7D/zFLfGJf8c27hiz9Sto4bvNFdoUsfCTbXngIeXL7QBZ9X0J5HlngqnMRB8b1s8L27achye6ykVXfKI/fJc8+s14HjgVZkPX81Qe1y33uwq5L471RByIJ9phhIwzja1zqPtLGil0cK3l/N9lHlmNNszOT6ksRt3Ws9wn2s+ni4rr4BbdlX9icSn1XfRe1T3Ud7TibA+Xih7jm8Ho/xNkSel/F9TVpzzSPaZ+6Rs8brFmQhDiOoI16vZ46rmSZq7v8Cy5k8R3Qj54UB2SeQtoxZbkGWebxzGlPAvMqkmBzGOMQBEHs/8IYStxxM1feBnNAZrNZYh+vNW3jvk/qu8fjceIzSp5gHEajUer3cVBuowv0AcRhPp8n2gSz2Sz23FjLNmnbXWmQ3SbifH78j+LiyJxrJ+VwM24WhyS7k32c3ut6HMzbsnW+CPrUXNpwhUJUq9X+72z7frlcRvKeXLxqvTc4ryXoryH/0uYpaVyvUChEnj+d89q1BW2/lcbIH7pvo1QqRfpI2wYqFouJteIKBbeOjCKtnmxS/Z0wDM1YxzmEatyt12ujdcZYOvMK9X5i3RHWNtE26sfLAttuSwPn5tRiVr56EAQIggDdbtfoqnS7XTQaDfR6PdRqNdTrdbz00ktGN4f+zXa7bdaxVqIrx49Iqh2TVA83qQ6uK/9QkVT3NqnebVLNnaT6tmGYrM2TdDxJdWyT8hpdeZl3GUl1rJJqU9t6TIq0fiDJfuR3rv+lWq0iCALnvVkqldBsNs2zbIP5IuwXFMwHBq5sRf1NHSO1vhG5LMRmszH3oj0eAtFajfZ3YRiaZ8flG0yrUR1XBxlIr1mV1E/c1RzeNCSNI2k12ZLqq6XVJE/St0p6ZgC3jhqRVsMu6TnWfHYXkmrMpz3LafXrk8Z75s3fFuz8drv/t58DfabW6zWOjo7MmDkajQwfTeOmwOXYQd241WoVqY86Ho+NT0btECA6T1Q93jAMI31amj9xn7A5nrzXtS8slUrmnqBNCVze/8wfrFQqpsYjl23diFqthmazaewe6soFQYBHjx4BiD7L+gyk2ZkE7QfaNewr2d8yTk77hHYT753z8/PIOzU0hsOh2Tf70Ly1A9mH9Xq9yHu32zV9CfsjPkt8HvlM85qwX2LfxuvT7/dT+wcPDw8PDw+PuwHb16L+E50r6vxtNBoZf8hsNsPp6anZ18cff2z2dXx8bOxitWtV92mxWBhbRmMEm83G/LbarXZM8zZArh+5yZqDBMDULwcu50Dk2jWbTeOna7fbxm/OeV+32zWaGI8fPzZtX3rpJQCXdujBwYFZrlarRvOFfshGo2HmI4PBwPyf9jt9WPY7cDk/4WfamrQxk/xpNjqdTkS3ud1uGzuSx9/tdo3dSJuTbThvpV3a7XZNG1s/2sPDw8PDw+PFhNqkdl6v+mCPj4+NXfnxxx+bmO9HH31kchJOTk7MPrkf+u+AS3+r+l6Zm0GNLXIZuD/6X28jl0Fz5hjzUX6H5q1wmfyzIAjMOtYRYZ0NAHj06BGWyyVqtZqxP7vdLpbLpeGJUW+XMS/Gr+L8nNQ+o83J/y5vzJM2IW1L2oa2j7Lf75u4B/2b9GtqG9qsbMP9JsVxPDw8PDw8PDxcUB+r2jjKgaO/bTKZYDQamTgvP6/XawyHQ2OPnpycmBwQ7ns+nxt7lFx08luVj6j1TrU26y6hecWq68D8AuoL0/ZkPJ5cRvKeWO9B8yKDIDB17JSryWtNbhbPezQaoVAoGL1drWuRJ5Zu24e2T1JtScbC7bi6Xb9O/aG0UdN4RR4eHh4eHncZGj+OW972u323c9Uw2hbKbb1Ly7ouCAKEYWiuATmr0+kUg8EAs9kMFxcXhpNKPiLrf9GOok+W+XzM32LuI/moqv9ja+BQd2QfeeqaU027kroRzEujr5O5AMAVD5T5NORCkhvZaDTQarVMjk0QBOj3+2g0Gjg4ODD5OUmcbw8PDw8PD4/tobacnbtp23mam6MxY83pUVtQ+XCa26mcRv0N9S+pv0/zTXeZ66m5K5qPRXsPiNqC6mtS+0RzzDRnzM7j6vf7ZllzZTRvTuOnyt9LyjVT8JprjH8ymRjf6GAwMPVnZ7MZxuOxyZsZj8eYz+dm/Wq1Mv/PYrEwtilj+arLqLxT1b/ZhV1q63XbuubUK6U/lP5RakIEQYBarWZ8i+RattttNBoNdDodNJtNtNtt9Ho9NJtNE+PWe8HD4zaQpY9Lyh8GknPpgWRNASA6FlCH1sZoNDLPuitPmn0JABNfUKzXa6OzE6f5xn4qDkmca86hXdeBnCTXb9s1HfS4VceEmhf2ttzuIWnH3RR2/UPXetVkY+yLYN/PGJeCfgl7fGRczO6/6bewc6g5nth+B66388j5m8xXIJjjwBrs9vq4sTwuJzwu3/uhxL6el9/ypu3S+tg82Ifvcl/79Rw/Dw+Pu4RttazSbO04jZ/NZoOPPvoo1sY7OzuL/c35fJ6oHaR5oTaGw+FWGllqa7sQp+dFbSeXJrDGoOzvuO2LZAPb9XjUJtQaGDp2qu6U1ttRDpeuZ60de1vgcoymjax6MaoLQ3+S2rK0h5mPq+upgaeoVCp4+vTptXPv9XrXbGeXJpTL/k3TNNonVJfPnhfrPFttP+037Lxw3SbOHxqXL66+Tnu/2mck6ejlhf5HqqWl85E4P2iSv1N9nLpf/f/j9qs+1SQ/qoeHh4dHFGn+3ST/cRrPW8ch6vkCl+OV5pWqbudoNDLL6pO1tcxV30RtWfKeuF/Vh+b2quvHbejnVR+v+ndt3zK1p121vLQ2rYLH8pDrOQDumo22n5brXL5YlwYtuV4K6hHa27vG/W63e+23giC45qstl8t4/Pjxte2fPn167fe73e413c84vT6X9ug2tqxt66l9p35GfTbVBrVj92p3arw9KQ9cn2u1idVW1X4lTXs6LzTerddQY+26rPai6prqtmrDqt2pv6X/ofo21S7mvZdFb93Dw8PDw8PDw8PDw8PDw8PjrqEQPvQqex4eHh4eHh4eHh4eHh4eDxx5BFWBKFlECctKCFFyCkkjWX5HySe7TqRTgo6Sh5UkEkcMiSODuAgg9nrdNggCFAoFzOfzSILparUy+ywUCk5hDSXrrVYrnJ+fm2vCIgB6jSgmptto4QXgelIMiXdKYJvNZpE26/XaFGfQdVqcQZOn+doVGf22wGRjvrhO13Md/zsVouB/rsV5mZih63gPaFIGEzW4vlwuo1armX2Wy2WTXEzCUqVSMeLAvLftpGcKW9gJG61Wy1mcN2/CsRdl8/Dw8PCwQZsmi6hC2vKu97EroYbbFlrYRuShVCoZW6zT6aBQKESI4cB1u5AJyVzHRA6KfrENkzXYjgJhACKFE2jjM2kjDMPIOiWmA4gUV5jP58a+5HksFotr6zS5w044Vtv1oSQhq02pdhxtUdu2K5fLTpGZSqXitPmq1WoukRmXIA7XuwjyXG8nA9dqNVPQwV5PETZFnG2ad31WQT0PDw+PbUA/mF1Ah34w9ZPRj8bELdosdltN9LLbcv/biqTSR0AfGMUvOQZosr/dlr4EV1v6zuy2KjphJ9zpeaoPUf2TPH9tqwIKWZb1Wt1k+SbQpLK7vAxsJ77gSjZ2CVjsep2rMMWu16lffBfrnhfihG7jfIRx6+PsKvWTZ1nvSqxNWh8nSucSoEla7/KTJq2Pex5cfZqHh4fHTaC23ng8xtnZGUajEYbDIS4uLjCdTs07Y4QsQMTgRfZ3AAAgAElEQVRCmSrqzmJD8/ncCCbTb0O/DG2sm8b4tNAlhX9ZbJ2FLVnkkrYk41mcxwdBgGazaYpJBkGATqcTEXLvdrsm5sWYsN1/31QY9jaXd2Un3HVhWS8y6+Hh4eHh8fxAf81wOMRoNML5+bkpHkRbczweYzweYzQamYJC0+nU2C2z2SwSM+SLNiY5ZbZ9eZNUROVzUZisUCigWq2aYhAsHkSuXqvVMsUqq9VqpFBQEASmiAMLVdbrdVOs/ODgwBS0rNVqEfuyVqs5xWLV96h8SOVgqu2XhY+pfikXN1P9o7sS7VLBLfUdZRHcihPZoo2uPkfldapPJY7jqcterMvDw8PD40UG7QzaD+R6jUYjY19cXFxgvV7j/Pzc2Cvcjm1oc5yfn2O9XuPi4sLsJ000WEHbKggCY4sBl/6fzWZj7DW+1us1isUilsslCoVChPulNuRyuYyI9NLGZDubL7YL0I6hvamFG6rVquH3a94JC1VyHe1J2pIsvFCtVtHtdtFsNlEul9Hv91Gr1fDs2TNjq9IGi4tPeXh4eHh4eHjsAmdnZ0Y8njYi49IXFxdYrVYR25D+LNqPZ2dn12xM1/ZZQH8PfVAsxkq/UhAEkRzKMAyNnaQx7cVigVKphMlkgnK5bIpMrNdrzGYzFAoFU9CCPs0wDDGbzUwRCrVJgd0UPycYO+d58DNtZeaMau5oqVRCvV5HvV6PcDVpSwKXfKogCFAqlXB4eIhSqRQpgN5ut03Op/r5lIflCzJ5eHh4eHh45IWdszudTnF2dnZtXZ429nd5OHT1eh39ft/YO3Hv/X7fFE9lMdZCoYDFYoFGo4HZbIZisWi4lcViEYPBAOVyGcvlEtPp1PhcwzA0x8qiauv12mxL+5L8zDAMI3m4+5Tw1dxT2tI8b67jeubzFItFY4vXajUTk+10OqjVaigWi+j3+yYez+Jc1WoVT548AXDpJ+ZyUh6K9316eHh4eHi82LipnZi2ztZOSUKS7ZjFtkxqs1qtTHz57OwMzWbT+FKZ+zOZTAx3k3nnzPuZTqcYjUYmB2i5XBp9wM1mg+l0auLp5Guu12sTW6fNqZosu46tx0H1+WytPuUNFItF4+/lZ/pQ+R2/V22VUqlkeAUuPUDmS+l6bhuGYaSo6n1AXE4tkFzMNq4oLpGUw/M89puWk/s89huXd51lvx4edwFpOhhpY6ZLu4FI46unFbpX/rwLLk0Hwi6qbUO5/C7YeaU20nxSLt0Mwi7ebUNzC1zYlSbe80CcZgSR5A9K61OpS6PcQo3tMqeEPjnaTbSJgCu9ZOUeAjDv+9BKVu1iO7ea2sP6XqlUTPyYYxP9fMpjpJ7ger1GtVq9ppmx2WwwHA7NdbExGAywWq2MTUXwGjGmrvsDYDQD9TPBuHxWO/yuwKU5DVzp+dnXV9sxL57Q682YPbdRW47f0T+t31FTmt/n0U8BojlALiTxApLsnjT7L+n517wgF1y22Hw+x3Q6RbVadZ5PlpyptL48rT8GrvK14pDWZ6eNR0DymAKkj1lp4w6QPKYCSOWKp427QLpNkWYX3CfY96z9//EZ5neu8aVSqaDRaCTqeFCHPml8Yj5lHFarlYn5uECfQqlUcu5Haw+ozj5BvhVht3E9Y+z3wjCMvSfYNyfdM4zRxWG5XBqumAv0u9xXpGmmptllaZoeSWMNkDyepOV6ptl9aeNGnA4ukTYWJo13AEyM+uTkBIPBAMfHxzg6OsJ4PDb51qrbQ18ebU/NedG6HNvC9q/F6fWUy2U0m02TN00uZq/XQ6vVwuHhIYIgwOHhIZ4+fYpHjx45+4a0MYNImisq0sa5vO3SxuY87bKMb3naZc3pztouyxifp91Dgt0HxN077AuSnkOOpWn3XxiGsf5ZABEffFz/yz6CcO1P57A8Pu2vOad1gf02+SlxsOsPPRRQo4yIswG0LpS21fZJvubn0eYuHtNdPO40++euIk9MM0/bPJy7fbUlstoNiixzdnL1aI/NZjMTK6ad5tLBsdfFXVOOEfT/aE4xxw7bHqNfp1QqmbGD9yXnMKPRKKLFQ56h5kyrPanxX9u+vKmtyfPM8p3apXabMAzvjJ6yx92D8liTYNs93NYFV+2VpN+3daLS4JorJf1m0hxTwX4la3vgcg5tHw/7nazt48A8vTw1Wez2pVIpcYympmyWY2GdgiS72wa5zwBMDmIS2u12or/DxvPiA9xHHS36SnQOzViwzoPpU9e5LG0cjWvT5nCtU7+7q91NYq1ac5P2pd4H9MlpzEQ12Ogzo/06nU7R7XbN8895arvdNrFBznF1HXBp6zQajVw2blo8IQ7b+u9vom+3rY3IGi9ZwJpps9kMg8HA6O6QU0Y7Mu49bu5Mfzr7OF2m7mGpVMJ6vY7obFNrO21MYj53GlR/hzxCxnHJGeR39ovfAYj4MQFce78pXPajnoPH/UbesTsJdlzAdV/q+ri5UaFQiMzDtG6htlfOg6sNvy8Wi9eeH36/q3tYbea4Zdd3HKd0PfugrMtZ2+lv2LZxXhsrDzjfTkMcryAOmltH3DRuSD/ATTT1qYVBcFm5OPP53PTjHBPJn6JOBvlTnKvTTttsNs5tVEeXY4huw9+mL2NbUEtDNdz0mmnNd/7v5FFpXJz35nw+j+RLchtycYrForkvyI9arVbmHra5PDaYQ5oV1HTOg8lkkuua0obJc0xpnBUAxp/2UKF9lKvv1jis5jKwj9UXNauT7p16vZ5qx2fhSQLR+r2022weCf2OYRhGOIdab0Zr9ZInwrkZ23HMI//SFfu29cRdHMLbgI5Dt/3b+4LLFwtE71+1d+K4jjbieI8uu9xep79j21Jsq/cifcV6rFzWY7efQ7utjed5fyWt5/nyGuk5AtHr5PrsWu/y+addn10jix/1oTx3LzpoY9ngeGj3Ga6xTzny+n25XL6271Kp5LTZ1S4np1K/s/sm+m4YcxsMBhgMBsZmJT/78PDQ1Cs7ODhAv99Hv983vjz62cfjcaROm77z3FkDmLkJAMzn+XweGU/5HWOS5G8yFsicULWtaZvnhW2r8Hj5n7Av53q9jvYYzs8c6/ndfX7eXRzBOJ+/nbO52WxQqVQi8Q9eN/qF1U4LggCVSsX8z/wt5hZrHLXRaGCxWGAymUTuB80LJvdVtWqolcht4v4bzo3UntV8W87B+Fv8nr+rz/54PL5z/CKbSxmXs0xwXRiG5lnRMZs2MNvatXP0v7N9QfvImbFzf9THoOdGrgKfU/YBasOpjWfPH+J8Ybt65rVvpy8AiPqUON+3l9VPoDETnferX0x1SW2+PPuAWq1mYjX8zN+r1Wo4OjrC3//93+ODDz7AL//yL+M3fuM3Yud8WWN4Gm9KQlz9ZxtZ6jjG5fvclRqQGsvT3BXG+jTGqLFAV616jU8pv0hjhOQka0zS9btAdl6yC3rdOZ5wDNlsNmi321itVgiCwPgP2d8wn4LP9GKxQLlcNnlUk8kExWIxUtOK+Rfqh7q4uMj1/Ha7XZRKJfR6PcPZr9frKBaLWK/Xpsbt+fk5Tk9PzTVtNBp49uwZPvWpT+H//b//h8997nP48R//cXz605829zzH3/vK4/PwyIqLiwt87Wtfw9tvv42vf/3rePvtt3F+fo5Wq4XXX38db731Ft5880384i/+Ih49ehTZ7ujoCMfHxzg5OcHJyYlZ1vX6vc3JazQaODw8xOHhIR4/foxHjx7h0aNHODg4wMHBAQ4PD6+9e41pj9vCP/3TP+HXf/3XzVwEiPo0ARif8z/+4z/i137t157bsXq8OJhOpzg9PTWvk5MT8273xfrZtq+Yl8e+l33x4eGh+fzkyZPIevVLDAYD/Nd//RfeeecdvP322/jyl7+M09NTNJtN/OzP/izeeOMNvPXWW/jiF7+Ip0+f3vZl8vDYOexaJuSIsl7eYDAwnMXJZIKLiwv84Ac/wEcffYQf/ehH5lklp5FzfsZpl8ul0TzJCnJbyE9qNpsoFApmPkQfRrVaxWazQa1Ww3K5RKPRwHQ6NZ81plooFAyHgz4+xuiLxaLhSG7L6+Rx0+dOn4TmV2ueObV8ND9b/aT0EehcVnOxdS5HG1J9HOrHSMs/3wdcmh2uvNq4XOCk/OUseVJZ+bJZ6zvav8l7CUDEL3x6emrW04/8ve99D9/+9rfRbDbx6quvolwuRzhG9OsqT2C9XhvfgvJHtQ3zgnQbrldf8a78xnYsyhV/jeOf2jFWhf3Z9n3uOvZh+6Vdfl09Lx6DzQXQWI+9T9c56XdxPmC25e/bvMt9wMVlsH3f7M91HeOC7MeUX8bzop+YcQ31b7v0VrWmKeM1bJP0zDPGovmCBHk5PEbybVQzzNZfAdwc/zRNwNuA+rs1Rshxl/eLPke1Wi3CI+J39HvqNdb/ImvfoToaQJRTyGutz8l6vXbyW/ibXFZOZVKsLQlaQ4wcRj1O+57htWQ7jXuw3Xw+N+tcWnTApe+bzzCvj9a0oL1F8J5nXJE5BlorQ+frPBdeQ+UBEDaX1NX3ct1diy/eFSi/3fVdHDSOlGZ/8T9QXq2uB6JjiC7r/Rk37tuxRd6Pdp+s+43bHthPvNXW99NrZo/RGjvWuDKfCwBGn9F1Pvys/x/HF1e8GdjPOSv0nGzsevy3cxzilu2YvB6Lxvp5bTX2rcfMtvY1VU7O84Tr+bbtIl1n84R43vo82bhvup5ZYc8JALdmvT7fXKfjF3B539g8Ko5z0+k0ci/qfxOnNcH/6qFoJtLGtq+vfZ2TNN+AbDnXaXqlQHb+RZY4VxY/RV7uRN74Wp72Wc99V+3X6zWOj49N7J/zENa64Da07/n9dDo129D/QvuyVquZWOZmszH2qL0N/WbK66DvIkueSxxUq6HZbJo+gT4zzedoNBqGD8htWONXea1cVywWI/vh/I/rarWasbe5ztYj3gZZ9HXyIu+8M02vDLgcx7fNKc+LLDlsagfwfnStdy1nbcdlfQEw/GEg3ifH73hc9CHfBK7cU87LdT37xTzrbRtZ2+ZZVp2EuP+Q+hNZkebPyYtd/BcE5+G7wjZ2X5zufF5b2ZUv5vK1sK3rPWnZ424jSccoCYy3pcFlr9EPuc1vxukcpe2P43teFItF85uMKRLaR9n9vn1MtJW072CfZOd/0l/O/dCvp346O7ec226rf0BtFODSPuIx0NZhTVvaP4VCwdhT9IUyr7tQKKDT6RhfJ7mr1Jcql8vm3mk0Gmi1Wmg0GmZdq9WKtfOLxWLsvIS6PYo0/WkPj7uGJFue+Uh2+zxzLNbezjoH0bmiDXLb9fiy8COUC0/EHQ/rhaeBuVgae49DFn+P5nalgfEXIsl+TasBouNIlvNmvlkW5NGo8PC4CUqlUuLYGxcbs/Uq03x+hUIhki+W1I7anEnHZceW8vgU82pVZs0nI5JqvNnImtNG5Mn/yeurzKpbTuzzmj8EmzCLHnkW7lrWWhZZ6oVk0fvM4vvMys1L062M4w4qslyjtN/JUn8s7f+yz9l1rVnL+qGAmu6E65ztPsPmuilXx25H20lzml3tNptNqm9AY9hxqFQqES03G4y/AfE2mz3WhWG09lbSeew6pnDXkbUfp49LtfxVN0v5lFxWO9y+53bl39S4uMZrGa/ivc14FvVtNWc3CAIcHBzglVdeSbQjssR8gWz2RRY7Ia0uGJAtfgxki/vmtaPikFY3OW2MS+vn07jpafXA0saitHE6KW8+bbxMG5fTbIm0cTJN+zrNdsjK1b+rqNfrpj9z/YfsAxR6L1Dbxv6ebeh/VaifgnFxG/RT0y9sg/1oUo2B9XqdaM+T+xr3Hfk9LnC+Fucn0vikvQ8dk4ErLoP+tp6zbYPZ1yOr7XofkGX+mNY3p837sswj0+pvZhnb0uaTWcYrF/eHWmfA5fOjcSBq2xPT6dT8BvWhABj9DuDyeimPzfanjsdjcz+rNqzybMrlMobDodkHddiI8/Nzc99mrT+ZBsaHuAxc/rftdtvwaLVWty6zz1J/EWNEs9kMxeKVLrTWVlG7TGNVXB4MBhHuM7n6vHZx/YlrHKSuMzlQs9kskgPBZfrn1c7UfAn6dO28nX3n8Nw2kp63JFst7jlkrkfcc75arWJtyTAME+PcSbYs7xnX2MQYqHKDFBwvJ5PJtf+WOUfMMVVorok9Ztk8WVt32j6XyWRi+giX3mOSPZlmD6Zxzu6zPZY29qWNa0n3f9q+bY1DRdpYlzQ3S/OTJo2zaXO1pGc6bYxPu5ZJc9Is47aHx0OH3Rern8GeV7P20ng8NrYh9ekGg4GxP1njibbL+fm5GedGo5EZV3SMYW12IGrj2rq7aiPfht2jOcs6hmq9Fo7JmvNJTQnts4MgMPZrr9czbQ8ODgx/nPOig4MDM68/PDy8pv/AeTFziV3vrKua1CbLe9aa78BVn1yv19Hv9yP+xrTvsrRPGuM8PDw8PDw8HjbUTtXYmmqrLBYLY5euViucnZ0Zjufx8bHZ/vj42MRvT09Pjd06HA5NvJf7UL8K60Pwt5SLT7/cvuurk28PXNVR0xwLxn6LxSLq9brxlWrd03q9jmazaeb55XIZQRCg2+1iuVyi1+uZ/Olms4nFYmF8VOTxqh2/jS2a1cZ02YZ57MisbfLw5Tw8PDw8PDw8bLjqk6hvlfYRY/GDwQCbzQaDwSDiX6VeG2Nv8/nc7GM0Ghn/KOOGtE9ph6oGn81h3CUYv9K6vYwP0S9KGxO4ytukPQpcxpTIDSqXy9hsNqbOCve7XC4RBAEmk4nhP5DPSm0eXlOXDnGW86bPlfEzxo0Y86K9bNdXoa+3Wq1GarDQH8w2jLs9Dy1dDw8PDw8PjxcbtIuUD3BxcWHqNZycnGC5XGI4HBrfK79jDQfqCdBHOpvNjO+UfFfyGKk5ws9qk+5Ds1Nj+JojUyhc1ZKs1+tGo5lxf8bdqX+ttSmpd7tYLFAqlQznlOdNLbzFYpEp75Kw7UfGvHu9HorFYsTWZB0I+i7VLi2VSuj3+4aDRduVNqf3cXp4eHh4eESh+Y4a37RzEdlOOe+ay6XL6v9TO0v3qcvqI9QcRl3eFVdeedjK59Zl5YgrD0+Xlb+uPi21NXSZuVHKbeQy82EajQZGo5HZ73w+x2AwwHA4xGw2M7XEhsOhsbP4PplMjB9wPB5HamCwXhd9pMzNoa+U/8cu/aTMCyR3lFp35IKSQ8q4PN9rtVokPt1oNIz/sNFooNPpoNlsotVqod1uo9PpoNPpoN1uR2L7Hh4eHh4eHncPyl/c9/JNt99VDridx6ef79qy5uYClz5SchtPTk4wn88Nz/T8/NzkQlEfhvlPtEVp49J/ynozrB+hdQs1Zn8TaE2XLHYouaJBECTaoUEQXLND2+02ut2usUOzavd4eHjcfSRpKyX5JpK+c9VHJa9Jc0YJctBV18Te32QyccZfyKFy8fRns5mJ5djb8Hvti7VWiNYtsWu30d/gqumm+vz2+buOUXVjHiI0v0HX2evpVyE3jNAxTWFrBXMfto+EWh22RkGr1bpWy4Ljm9oyzWYT5XI5ojXQaDSMHh/BXF/VaHBpFLg0IHbp21Ffp/of1Y9p63uor1R5dbqseiFqN2oejy5rvFSPSXX20jT3skKvn9onLp8koZpO6s9Un6cuq180zXeqv6W6HXm1kD08PDw89osk7cY4+zhO01RjhLYuJcdczTsFLsdN+gXUpqZvAbi0VbU+vOqrsI3WutWaUVqjhHkFbKPHofp0ul61RO1aJ3btK/2Ov/0Q9O1UR0ZBDpq9zrZXK5XKNRtUa5Pq73Q6nWv7ZA6CgrkKCmqsKKrVKg4PDyPrisUiXn755Wvn+ezZs2vHbutf2va0rU22L3/lvva7KzsUSPdB7tqnmXc7r7/j4eHh8WIijsceZ+cmacHaNQ2Y60q/K/er9uZoNMJ6vb7mHx6Px84aAMz9VKi2i70P+9xYy8/e3nWurlrVWvNbt99HjsNtwqUVa9uyrlq/jCmyneon0ldWr9dNfJK2MH21bN9oNEz7Wq1mXsBVTVr1iTabTcOj4zbMzQUubelms2lsU+pX8rhUm1Lr7HIOZ9/n6uNU/2UcdzPOntRt9dnTZ2cXcXj1e6o/VG1z9T2rb9qOj2uNXhenNI5HGscXdXFEPTw8PDw8PDw8PDw8PDw8XlwUwocQLfbw8PDw8PDw8PDw8PDw2COUnECCgRLSlZjApC9NEkvbhglhuo2SGpTIwLZpxaSzQokJSkZIIiAA0QLhYRgaokO5XDbkdCbMj8djk3A4n89RLBYNKX61WqFUKmE+n6NSqZjkUbZRoSlNduM15nUjoYgkIm6nRVtVRJXttXC8fgawlyIANwHJP1x2JXtSxJWf2YYkey2KRRKRko4ajUZkn4VC4RpRvVKpoNPpXEso7fV6ETI919kJpYeHh9cS9jqdzjUBhDhRBPt4uH1cgXAPDw8PD4+7BCW30q7TpEkl0iopVm1HJbzm2YcSaNW+pP2alLyZBxyrlTxLcXYgan8qAZY2Z1zSf61WQ6VSwXK5NCIRi8UikiS4Xq/NdWq1WkZwimJVJMzz+oVhiLOzs0gyJgtMERSnUvK9LaJCYVXdRhNKVeCfv0tRK4LJofa6u2SPKly2KZM77XX8j/n/ktBOUHhLkyG5Tonz5XI5UjCL6yqVirm/dJ0KhJBwrwmWXKc2J4W+bDu03W6j3+9fSyiNE6PwIhUeHh4e+wXtIdo05+fn2Gw25v3i4sKIzNPfRruI9hhtoyz7ygPaNLRzOCZwbFJ/h92WdpKrLZOC7LaaqEXfGuBO2M+T3L+tKICuy1P4Jw7PU/iUdnatVkO9XjcJcLRPisWisSspgGb7a+0ENVswQf3BgNsmVwExIGrXEypERrgKfd5k3W1A/dN517nE6na9TucySet0/qNwCdslrfe2poeHh8d+MRqNcHR0hOFwiLOzMwwGA1xcXGAwGGA0GmE4HGI8HpvCO6PRKFJce7FYGD8T45sURaDfh7HLm4rWaswPgIn90QdCvwrFV0ulkvGL2IUTKVjeaDRMoUSOZd1uF2EY4unTp5jP5yaeSBtHbRe1SWg7qF8yzp+ZRfg0TgT1JlA/o/ot4wRR48RRgWis8ibiqHFCqeoz9fDw8PDw8LjbUJ/iYDDA6ekpptPptWI5jD8Oh0NTlIFCYCzWOJ1OsVqtMJ/PjSitFhNXrtsuiuQUi8UI10yL5DCGRv+mq1AjRadYHId2J2Nv5KGx/Wq1Qr1ejwic7ctHmbRsC7Nti9sWM91m2RdB9/Dw8PDwuBlsm0TfWSRxm3V8Pzk5cRb4cqFSqRiOP+038rIUdh4EX5q3wZwJfrdL+9IuBs4CViqiWSqVjMApfXb0a5ITSBuTxRhZTKrZbKLdbhv/JuNxtHt8DM3Dw8PDw8PjLoC8RcY5Ly4uDE+R9iDjpOfn54a7yPxlxkovLi6M75FxWG6fx8fV6/UiOaO0xzabDer1OpbLJWq1GhaLBUqlkrERbfuRy1rYm3alFuTS/N1dQG1NxlArlYqxi2u1GgqFAoIgQKlUMr5Mjfe2222Ti8K47+PHj01cnXmyLAr16NEjU/yUMWafu+rh4eHh4eFxW0jyS2bxOyZ9x/fT09PMnDz63MgzrNVqxmfHOHOxWEQYhiiVSgjD0NhvtC3pB1U9GNqVLPbKfFzGysnHVH/mrm1NACZuTruTNjNzFRgDp/+RvkwWguK1YZGmdrtttj84OECtVosUdOp2u8ZmTYor+1ivh4eHh4eHx7ag3TcYDLBcLnFxcWF8j8Ph0PglmRtCfyT9kOrH1H3Qlszqm2S+ZKvVQrVaNRp0zWbT5Ib2ej1UKhW0221jGzFHhjbYarUyebzULVRtF+binpycGB2YyWSC9Xpt2pGjuVgssFqtjO1JPUPamcrPvGkMPQ6M9TOuzrxwrqOdSd8nv6MNClz6Kpl7cnh4aPbz6NEjc+0PDg4AXOam0Efc6XScBTM1FzYuz/W+ISm3Pa4gMJBcFBhI5p8m7TdNq+B57Fe1qO7Kfu8ikmIDrtxyQnPVXNA8s7uwX42H3JX9unL8s+7Xw+Ouw9YOUaT1lbY2iY20XNy04tzULFkulxiPx8ZXN5lMMBgMcH5+bjR8FouFGXPZRu0t2lc2V3EXoD+PL/1M24i5Mqp7Td1l9j3cbjweIwzDCCeT7/dx/MoC+1xtHUEAxv9rt9H4Pa8116sONn3I/F6XgSvfq25HW5ga5S7NltVqFdH5UT8qfcz6G6qtzXuUKBaLZrzhfW2D41zc9+Vy2TwHLuh8xoXZbBb7XE6nU6Nz5PIXa66UjV3l5t8m0jjASd/va9u7eEzPa9sku49waV8p0u5Lcq6SkDSOAsnPBZCtX3fper0obbJoxe1CT+4ugvkahMtuYa4tgNj7sFKpoFarJdpcHEOTEIZhot7Icrk0ucA2lM+n4znBnGVCx2J+b98r2oa+NRu0FxaLReI9Qq0erQmir7usv5wFaf1lXL0NhUtbT5FlXqz6NS7E6eMpkubtQDYNPFcdEUXS/B/Idr3S9HmyXK80fmiW67VvZBkngage/S7apc1D87ZL8ndu0y7JH7lNuzRbIm+7rHZ5HvvdNbeP6zc5X/e4QqFQcPaxcddQazgB8TYA910ul40fIgmbzSaVF2THq1ztyel/qAiCIHYs4vWgdnMS7LoFLhSLRdPG/t8V9rhk1woDYPhjScfTarUSx0AgW9wuyzhna+fFIWu+BO0+6ucMBgMMBgOjpaPr+Xk2m+Hi4sLoOzKGHYdarYZer2dezDvu9Xp4+vQp+v0++v2+sb36/T7K5TKazSbW6zUuLi5QqVRwenqK09NTDIdD49scDocYjUYYj8cmtkwfzHw+N/4jchjp38wD9U3SP8WaF/zPqtWqyZGu1+s4PDxErVZDv983OdRPnjxBrVbDJz7xCQRBgKdPn2aan98W0vzNLrbuHncAACAASURBVGS1Ge7bb6ltpTVykhCGYaT+UNI8itqmaTg9Pc00LmjtRxu2L5PztzTY9XbijllrSGY5ziT/adw29u8yVhHXPuscdLVa5Z6z2seSpumQdd/3ed7ssV+Qb5UFeXnqSe3Jd4pDmi8sCcxTAKLPFGN//F31LSnsdfocqy/KtU63sdttey76cq2z453ajr5HO67G5bi4m13LVnNA9gn6GRlHcy2zj+Z4o/ZjXH+pejXM4dDP9jrNqWbNuqxgDjU5iNQgXy6X5jhpO2qsnPFMraWs3MRt7yVXjJx8RPqdbS1JxkN5j7D+G7mJ1JdkmySf4r6gPu2bgtd9F2C+fF4EQWDypIhdxW3zXqvpdBr7LCXZSHlBOykO1FPNuq9dwGV3xt0fOgboOl2v29nt8i7r2BR3j+Vdv0tsk8t2k/y3m46vHh4eHh4e2yDNF+4am7KMV89rTMsyFu8jXz3r+RYKhdS23h7YLeL+b51XahvXZ74zr83mamsbfaZYbxWIcnjj4qhBEETmotx/3ByD3GMgaver/0NRKpVMzVEXKpVKJEeH8zm7pjpBXwPrRxCumB750Pa5sLYYcMnF43yDGmqKyWSS+Pym5Xmmfe/iAuqchXkDXG/76cgD0+30PUvs/K4iLgbNGKDrvHjvq//HpQ2dFZprqjoo9jv9wrw/uZ7PEvVO1J+6Xq9RLpeN7h4Q5bQzxxdAhK/E31kul9d4M3w2XL6LyWRy7Zqt1+tr97grt9MV87trPHn2XbzufKdGjX4ul8tGK5HbUrOGvkdq92huDnkmjMGpxrjm7FAnUttkue/s/2GfoG+S0D6X9bipkUmdTOoXcWyib0vz0Nl/AzD3YaFQMNeQ15y+qkKhcI3vOplMdppbfpv1aG66fRrn9LbxD//wD/jiF78Yy0FdLpf48z//c/zxH/8xPv/5z+Ov/uqv8Oqrr97yUeaDcg61b1uv1xgMBqad5mQof0HH7ZvuS/MKsu5rG+g9plxf/q/Ke1I+TKvVMs88+4cwDFGr1TCfz00/wDaMMVUqFTO28FmndtloNEKhUMBwODSfeY76nhV8ZtLeycfK+04Ot/3+wQcf4L333sO7775r3r/xjW8Yzkq/38err76K1157zbz/zM/8DJ48eXKj/9LD46GBOo1nZ2c4OTnBv/3bv+Hf//3f8f777+O///u/cXp6CuBK95r2hIK8Rfv18ssv49mzZ7HfeXjcVSyXSzx69Ch1/O90Ojg6OkrMefLweN5gP//hhx/igw8+MH2+vvS7o6Ojaz401m9VTnCj0cCnP/1p/NRP/RReffVVvPHGG3j8+DH6/T5eeeWV1Pw3D48XDYPBAN/5znci85f33nsP//M//4PNZoNqtYrPfvaz+Mmf/En82I/9GD772c/ipZdewqc+9SkMBgPjK9R3znP13W5HHQH7Pe881zVXazabJu5ALWr6ADebDYIgMLnh5XIZm83GcD8XiwWq1aqZz5ZKJTM3LxaLGI1GKJVKkZxKnb+rFhDngDf1k6qOWZyfSPOMdG6v83jNvdW5vp3LpPnK+huaY6x5VKqRmCXP+D7hu9/9Ln7v934PX/7yl/GHf/iH+NM//dPYHLOzszP867/+K37zN39z58ehviM+R0BUz0OX1X+iMSj1W+l9q/eo+qA011fvefVN6b2eNbc6CzRXkbWM6HdiXIWxGeoeuXzS1EMtl8uGM0w+73Q6NTFU+qAZI+A50X+VtW5p3nOsVqsmTkW7hvECxlUZY+CxaV0qanXZuqyaZ5fFl65aq8qT57Wi1hePib/J74vForlXGKterVZb5YrdBIyZ80VOv8aEmCsIXOUHsD/UeIfGQ1arVSS+Dlze77Z2g+YUEK4YOPtP5Q5rjYXFYmG20di0+k/tGCmvNbWzWENisVhgOp1GNHx5f1CzDoC5h5gvwM8av9K6Ezyeu44sPJgkaL6HrZnH/0t12jhmMk+C15x5DJrPQJ84cKWh02w20Wq1cHh4aPJ12+22icEBl+N8Up4yx2j+lg3GOwEYTWjmBQIwtfIAOPVoWq0Wjo+Pr/Ut3IfNyeD5ss/lb7tifexzCcZb4/phV2w7Lk81TnsHuLq3uX2WGASfDZc/MmmbPO2B3eZceHi8yFAOnQvsS9K4mzcd+/aln3+XEMdtjHup7Wm3pY6IPZ7bNhf7ZN1P2rHpOptHpr9jb8N+2ba9lYOndrgrz90+b9sOV36ltnEhi72fhY+UtU2WMemmOgNpx/AiPEc3Qdx9nmU71/ObB3qf5v1v4/R78yBp+13mZnp47ArMH3dhm2ei1WrtLA8li15lVhQKhcQaHS4kcSObzWaqdlme36Ffexdot9vGJ3NTVKvVnfwH8/kcjUbDaC7Q38t5+nK5NO/klZN3zjkv+X70kdm+x23PV+0ccn7oy2MeCrUVqPcVBAFarRZarRaCIEC320Wn00GtVsPh4aGpp5WXXzufzzEYDIy/hvps1GiL+7xcLk2czAbrnnY6HXS7XXS7XeNz1HV2m06ng36//9x5HmEYmvoW1HgDYOJ36r8kz5P3GXAZi6AfhH7j8Xhs7iPGGiaTibGxXevop6dOyDbQ/rbZbJp4Adc1Gg1jg/O5C4LAzDGUx805Cv1fvE8BmP6Etdv4e1xHn1ij0Ujtr7Pqzu4LaTrmWTRit22/Xq9xcnKSq2+h9uAu2rv8obZOWxqS2ruuRV7NxNVqdU0fJQlJtrlLo2UbvbY841+SVkXcb+cda+5D7MLjOhjjywK7XVztgDS7mjG4NJ+S/VtZ7DTbn6N5tvYxJtkums+bpUYCcBm36vf7qddTYzZAsn3MeKuCml2z2QzFYhEXFxdGU5s6neQq0Aalrcl6C4yhse/ctk4Wz9XO62T8nXE4auQGQWDicqzX2m630W63Te161mwFLscH6vHO53Oj00utXlu/lzq/STU1Xfq97XY7wmVX7V7X+qdPn2bSI/a4QpZavlk08bNy25TfE4cstWiy6P6Td5eGtLpBQDaeW5J2sOaxpx0T26T57mazmYmvx11T9je6b1fb52lr3wbStNOZ15s2Tig/KKmNnetst0/qp/g8ph1LFv+u5ie+KLA5n0lIqz2Tt12v18tku6XVzcnbLqsWf9Z2WfO0s7ZLq79DpNU1ytsurXZQ3na3jbj6MYvFAkdHR/jhD3+I73//+zg+PsbJyQlGoxGOj48xnU5N3YLZbGbGVK1ToLrkaTqSWWDHv229CtWPpY+XtTZYG7TdbqPRaKDT6RhNkbRxPM32SOPtpvma0myNNPsoaw2guwrq+xK2DWHrLBG8p5ir4MJ6vY5oUrtgj6eu40vy1XFuq1xEhZ6bXX/AxUO1taVd5855XdJ8WtvEIU7vxt7PXdKq2QXS4nBZxvhd1MhLGy+z1Ny5aX07zZGJwy5q+aXZLruoW5jVDsiKpLqySf2uSwdKkTTfSxtvkmIHaWNR0nw8rTZN0jw2bQxLmpfv6zreVdi+0l3mArhqN2gs2M5T0XasuaA2FcEx1K7TwGXGmO3vq9WqiX+o35GvQqEQqcc6n8+Nn5I2pMbHOde1Nfp2yWFTzqT9Wa8lfz+Oh0n/5X1E2riTNqakjRdJY0HaeJQ21qSNIzc5trQx6KbHljZ+Jc3XH1r+qIeHh8d9h9q3ccv0qa3Xa5yenhpO2Gg0MnYEa4LSXiK3kBww2k2aZ077Q/P2NHdONZ5vwjeMg+Z8qB43582MFwNXtXOr1aoZIzlW12o1E09ut9tGN4Gxfvrxut0u5vM5er0exuOxqb86n8+NZuJyucT5+bmZ79B3eX5+buLo/G8GgwFWq1XiHETB8Zv1X9vtthnzO50OKpUKut2usa+0Pc8pS3sPDw8PDw8Pj12ANo9tow4GA5Pfony76XRqbNLJZGLyE2i7TqdTw03UuqrkIDJexu/JUwSi3JNdcks0L5p8HHI9WXuiWCya+gas0Up+I7XQtHYpcGm7UhuJmkOFQgHr9dq0WS6XGI/Hkfqses3Pzs4yx3EZv0p6V+7iNm0ODg4SfVUeHh4eHh4eHvsENTmVD3B+fm44CR988AGAS74G/aInJyemHe0tciO4v7icWs3NBuDkMu4K5J9pPg3tUOpbUne3Wq1G4vXAVa03+lapyat6hDx+csuoW5jVr0k+FH2Umi9OH2W5XEa3273mx2SbXq9n6sEwTso21JT08UsPDw8PDw+Puwr67dQepa+U76PRyORnT6dTjEYj4zOln5T8Vb4YyyfvkbxI5n8wt4Z8SGA3/lHlidI3avNC1V8KwHwulUrG5qTf066jTBuU/OSsvMisPsskP2bSd48ePXruWkAeHh4eHh4PGVl4kHdhOW/95Djsuj56lrbr9Rr1ej1Sf2Q0GpnPw+EQ6/XaxPNpc47HY2OPUj+IPFO24T5og2o+j9p7N4Gt2a3+UNYcq9VqRu+PepaNRsP4FKvVKtrtttGCDIIAzWYT3W4XjUYDvV4PQRDg8PDQ8Cx97oSHh4eHh8fDgJ07nqUOpNp+N6n3mKXGo+b5Z9WSywLNMdU8Xs1N1bqjqlOhubeqgaH2ke5TNTCYN0s9SPonyQWlT5N61qPRyPhEVUdIc51oi6odSi1M1bS0NdN3aYcyl11tUNbUZL3cVquFUqlk4ti0P6k31Gq10Ol0zKvb7aLf76PX66Hf76dqZ3h4eHg8NMRpv+RZz/wEO6bEscVer3kLCh1vFBy/7PWTycR5jPStuNbbuj3MeVBNHvpSNAdCxzTVbNZxbh/5u/uCastofTp7nWqVc0zWvAsdm7k913GsBmBsEmoDch0/6zpbG6xSqeDg4CCiCdLpdCL63eVyGf1+P6KJ0u12TU2d2Wxm7AfgSput0WjcCZ+nLqfVpsiCXfs1d7ldmgaLh4eHh4fHNoirL5CktezSXVRfkeq0su6H1nPfbDYmzqdjN/VO1L5UrWaC9ojWSWcbtUO1fgh9ZrRhdR3zKHhstEu5Tu3UXdX1u23YGom2riIAo4FI0Abkdlo3hWD9FNXNsTWQ7VyJarVq4pjApY+O+jjA5X9ZLpdxcHBg7hH6A3kP8X+s1WqmNly1WkWhUDD3J+vQAfE2o/pQ6WdVX6ze13rvZ6kDkgb1U6qPU32Wav+p/1J1AenLVB+o+kbVl6o2puoiqlaP6vxm1fr38PDw8PB43nDpd7vsXJcO+GazwY9+9KNr+/z444+vbT8aja7pl69WK5yenkbWhWGIs7Ozazw9xg8V5LfZ+7RtDeYI629oHROeC99tH+w+coNvCq0PQXtG613YucT0sdLu09oqtGX4TpuHvlXqMLLWYaFQMDZStVrFer029Xxpf+rx1Wo1zGYz1Ot1FAoFLJdL4/9drVbm2NfrNUqlkvHL1+t147svFoumTiIQjdXr/Rpnr2ap1ZYGtUHVZlR7VO3HuHg67URtS5tS7VK1P2ln6u+qvZu13pOHh4eHh4eHh4eHh4eHh8d2KIT3Mcrp4eHh4eHh4eHh4eHh8eCg5A0GxZWsqQF0JtOnbaMB+KRtNBnetc02KJfLJuDeaDRQqVQQhiE6nQ7CMDSFy4HLIDqLeQdBgMViERG31Kl7oVAwwpyVSgXz+Ryr1QrlctkUm9SiP0rIJhm7UChgs9mY/QAwApkAIoXO+fkukEtIYrXJJPpZyc0kkwBXgqEqYq+J9QAMcYSEBrZlQaZisWhEn7hffqfkCpItuE2z2TRFRIErooVdaFyJuty3Txbz8PDw8PDYHnEFJu3lXa+L+/6mZM+4RHMmbAFXtggAY4vQbqTNVK1WTRIcvw/DMJKgR8FN2lSTySRCnqU9zcI/s9nM7J/JfRSV4G/RrtVEPQBG0FNfd8H2JFykZk2Oo11PkrNdrJOFlTTpTovO87Mm4ZXLZQRBYJK7WAiUQqTApa3I/7Ner0d+o1qtotVqGaIvcHmfPHnyJELIVZJw3nUeHh4eHh4EfXFMtFaRbwouLhYLDIdDrFYr4487Pz/HZrMx7xcXF5n3lQVMkqH4JMczJsPQ70I/DRNf6J/p9XpGQIl+JI776/UaQRBgOp2iVqsZXx5wZfNp4rn6G12FJlXAU+1HXjPgyk+pvs9toT4nTUpnQpCO/UEQGPuh1WqZZCkmIPFaADAJV6vVyggKLJdL45ejb200GqFSqRj/2nw+N9evXq8b8QnCTtxXXy5hJxDaIlP2PlzX8Sa+4KzQZCwgmsBFUByA0ER/IDoXIPR/zLvO3v8+1mniWdI6Dw8PD48XF0zSPzo6wng8xvHxMUajEc7Pz813g8EAk8kEw+EQs9kMo9HI2ItM3GbC/Wq1MsVlVMx7GyFv+oNoE2oyOxPLaTNSvJuxQfp3KpUKms2maVur1VAqlRAEQUQAXIt0D4dD1Gq1iK2odiXtH7VrXL5ItZ3UJlJbcxuoTUkbWhPV1WbRcV8FjXQfuhznB40Tn48Tovc+LQ8PDw8PjxcL9LednZ3h/Pwcp6enGA6Hxqa8uLjAeDw2BbaHwyGm06kR4aegP4tma6EYFTHdRYEYu0ihCtBTBKlWq5mYIQU+lbfG2KDGihlvrFarRoSTduZkMkGtVsN4PDbn4+JL0s5U/+Y+xY7yChzFiWWqzan+KfWHqXiR+uDoF40T69QCRx4eHh4eHh53A8rNOzs7i/D00r5LWzedTjEYDDLZOXbRadoXzNUAcE3sU+1JWyR0W9jFBymwSd+j2ph81et11Go1ZwHser2ObreLer2Ofr+PIAhwcHBgimHTlqLt5OHh4eHh4eFxn7CN3ZjXrswC+vZKpZIpFg0gwvXfbDaRQtmMefMz8zS4nrbmru1L8ibJ/6OtyXg5fWf0vzWbTQRBYIoQlctldDodk09LHufh4SHK5TIODw+Nb5M2pueWeXh4eHh4eNwlMN+Ftt/FxQWWyyUGg4HhMDLXhXkxbMOi87PZzHD2zs7ODO+PtmSeXJlWq2ViyXYxnnK5bPKGARgNG2rMMO5LXqW+a+7vcrmM2Ji7gOrAkIvJeK/LzmT+Cm1D2pOFQgH9ft/EdBuNBqrVKg4PD1EqlfD48WNUKhX0ej10u92InWnnc3h4eHh4eHh43Cay+ia39UvaObVxIAeP7+QgVioVtNvtiG9ws9kYbUTgykcJXNmU5FlqIXjlYPJ7fqfF4jWGvivQ1rT9m7RDGT8nJ5P6guRkMjeaeegsyB4EQSQ3vd1uo9FomFer1TI+UuVCuvJtPTw8rkP5yTZsjQAF5+y73q9Ly+B571fzBu/Kfu8ibJ0GhXLPbaTxxbfdb1p+Y9J+07ZN06lNG4OSCgNrnujzODaPZDAH5vz83HAef/jDH2IwGGAwGODjjz/GZDLBxcWFacP87NlsZt4XiwXm8zmWy6XJxd4WtLWYv6JcReZbd7tdVCoVHBwcIAgCdDoddLtdw0ukDjTzYFarFWq1GlarlYlhLxYLk+uimj20hXVccOVba7522jbbgL7bUqmEdruNMAxNHhAA81xVq1UEQYDlcmnsT8baARg9wel0GsmX1hzsQqFgCqLT96r6QKVSyeQJUatQkTZ/sDV8FGnjb5bxIy0fKe2/yKK9lHQOAHL55e8y0vzexWLR6ODHgToJLmw2m4j2pQ0+o65jUF171djkfvUe5FyNWCwWkXukVCqZY6COhA0+I9Pp1Hm+1AyL+9+poRqH2WwWex3X6zXG43HsdRyPx8Yes5/H5XJpcvjuC9LuuyQbJ81OSOMMpdkRtra/jSQbCLjKM3QhzUZy6Ygp0mwozad0waU5pkiyS4Hb42Nl8VHdtTZZtFceahudL2rOC23E9XqN6XQa8QuqbrR+foigXhDhOk/GtAGk+jrr9XrqtVqv18afGfc9x0jmpis07k8wz4igP9d1LuVy2fh4k0D/cNJ5qDanC3Fj9n0EuQnA9bEeSO/Ds+RopfXzaeMQkD6OZtFpShtrs/AykmwFIN1eyHK90sa9LNfLpdn5kJE2h1Ik+UBdyKPxmmdurr6BLMgzD8zrG80apwPy6wkn+XdtqEYIgGs1J1z7TmtDZPnf1S4YjUax95S9nrFFj3hQB9FGluf2oYy3+4I9huu11nf68FSP0o5NAzB5N3HQtppLlAT6XLPM6WwfDHBVh0+h/sak3yWPIAvoE6bWZhwKhULsONxoNK7V7Mty3vV6HU+fPs10nFnnx15ryOOhwbb3kuyoMAwT4wDEYrEwdakYf8mC1WoVsVnoe4jDcrnMZX9OJpNcthzjT1kxm82ctkvcfJrXKCum02mu/NDxeJzLlmKdsaxYLpex1yftOMkb2wY32dYjH5Lm6Fm2te3NJPszzubSl10bTl9cT3vBVeNONX1cL0LvX/V13gRxtiXPy363X2pbsg3t0F2Aduw+wHPY177v0nFPp9PU/oma9Pu6JpyLpKFer+eugb3Le464K7lcd0WnfhdzDdZdAKJjJvnawGU/R95IGIYRn9t0OjU8HfXVq91CDjj3S3tgs9mYfYVhGLHTJpNJZF/saxeLxV7Gdc6BOW9XPzw5TIRec9aCIFhDgu21Lee6RLPZjHBzNL5LHQ39TZ47uel6fOqvbzabGI/HaDQaqX7p0WiUeD1brRaKxeI1X2ESWDMuzVakZnMaNptNZptc7Vna5nrPqRY098nPwFUerMbIJpOJuf/0meA2qtOi33MbXl+2uSm0z3bFk+5avd6bwrbfaNuQG6T1//RFXcQ4lMvlRE5FHJ9D6+hpHHy5XBqtSM2J4X0YhqGpd6M1b/SV5X+z/+s06LXR66W55KxJzba0ldbrteEvch88N83vBi77kvV6HbGz4vwBz5Pb5OLqkH+pcMX21R7jc8Z7iLER8l4BmP6NelDKX2O9IJ0fl0qlyHxc+xF+ns/nkWs8Go3MMxGGIUajETabjTlO9ZGQy7ZvjiPPl2BOFEEerJ6Xfk+OAzUMqHFQLBZNf8rnQM9NeSjUOdB96rXMMvbkhWocALjG09D+iM8inxmO1Xz+wjA09gjPqVwuG2428/M2m43Rq91sNrE2fbFYNPcC7w3qRHBfOj7RJ2XPiwmb86PX2jUGPaQxaV+wbTvXf6k15oHoGEDbhbEf/T91We83+39nH8b+ivtV24bPo/KE+JwCVzVjs/CE8kDrbqjGHm1pPn/s/8jt5fjFPkB9JTxf3uu8T/X54nhNG055cDzvOM5UHHSctX07PC7bpwUgwpniu86xnifi+DI2t4nXmPkRahsXi0WTK6F9CjVh7PmKKy7HXBHFcrk0OofEfD434w5tOM49tX4M57P8jzkn1flEHPeP/yk/87nYt386r53I+872Mao/kWMWr6HGuJWXyHPjc8q5Pdtpn6AxC/JJdw2bK6bcMptbrXwu+362+XXKCbf9U8qBs301Gk+2eWpxtRXTOOAeyVC+2Pvvv49f+qVfwq/+6q/iz/7szwDAaHsBwLe//W38yZ/8Cb7//e/jt3/7t/Fbv/VbpvYSoflKNr/M5m3Z/hObu2Zzwmwel/LibL5ZHj5ZGvTe0/vNfg70vte8CeWOJu2Lz9d8Pkez2TTjV6PRwGQyidgevA6015lTU6vVzHXhNSDvTK9/XJs84POa9s7z3/adfc9tcErX6zW+//3v43vf+x7effddvPfee3j33Xfxn//5n+ZeffbsGV577TW8+uqr5v3111/3HBePFxLU2+Hrww8/xAcffBBZp9/98Ic/vDb/YR0WvtrttumvBoMBfvCDH2A8HiMIAnzuc5/D5z//efzKr/wKvvSlL+Hx48fP6cw9PHaPP/iDP8Df/M3fxPoIKpUKfvd3fxd/8Rd/cctH5uGxPwwGA3z1q1/FP//zP+MrX/kKvvrVr2IwGKBWq+Hll1/GkydPcHBwgFarhbOzMzPGHB0dXfMb2ONJv9/Hyy+/jGfPnl1b3+/38corryTmKnt4PFTM53N897vfNXMdvr///vsmBvUTP/ETkTnPZz7zGfz0T/90Yo5GVnDuznfaffY7dWn4Tv+B/U6fhf1ua0RmhWpCUo+bvinOSTmv1zZBECAMQ7RaLaNhw3hkEASYz+cmt5lxLcaSy+Wy8bPWarUI31z9HuoTUZ+H+lLUz6I+gLz5f2lQ/6HO1dWvp74728dn+wNt36HtZ7T9Afr7djw7677DMMTf/u3f4o/+6I/w6U9/Gn/913+NL3zhC9fO9Xd+53fwd3/3d/ja176G1157Lc9lepBQ/5vqHtn3mN67ek+r31DvadVj0Ptb67vbv2E/3/o7ts8xT25oVpD/xt9kjQLGoXn/25oFm80mErex45yM1XGZ58PfJA+C8RTGaAjGEdgH2bzFfUDjJjb3mnGUarUaifG1Wq1I3YVmsxnhBjGWQp4IY2Kqq0v+mQ3VvdXascoFqlQqqFarWC6Xpl21Wo1wPtl+OBxGuBYubk/efOV9IY4r7NIliOPRNptNcy8rx4//EeO/i8XC8DUAmP9pNpuhXC6b+LBqI1O7LgxDE3fm56zgf0t+VrlcNv8p4/O8z+iTV16Xck/5vHJs5n2lfBuNx87n8wj/UfmRfN5uGt+0czaUd8Xr5Mq9VR7CfYTyy5NyY6hV7dLXUa4Nddpcfb+uYx9h83hsTpDmzyh3FkCkLyKXTY9N/Tx8fpTHtS8OA/tegvnRRLVavcbT0udH467UC9d92/vS/kT546oFBFyNl8Bl7ExjZHb/pfd5XLx8Pp9HrrH2xfpdpVIxsU7yAZXrozmZul3SdwAi39m5kap1ty80m01znZSvyetl8z/IMSQ4Xqt+UqVSMfc1x1T25+REAFfPQqVSMfwgjg2EbmevI8i3t3UByUvh581msxeuRBJs3VCb7whcaQAomOOvfQFjw3pPKEdDeWbcn3KwVBdBt7HHd61dwH1yHT9zDNPv1Laya7Dys6vv3QVceYB81/vbbs/jvs/jH3B1PprXaOdB8tmjTeuC2j42bI4gELUtONaRc0vYHGPafsqT1WWeiysPRDm1yk++6X+oC0p48gAAIABJREFUzwbzFVTjjXzhMAzNuFgsFs2yjpXKU+I79YbJxQSu+lL+jvKaC4VCqsY3n7escHH8smAXc8G43KaseZLKH9TjirvP7O+YR6JtXfuhba/2oOaa2DxtvR/TvrN/c9d9jj7T2r/Z6105UPb6uJwp3Zfyd13t7eW07/LivtVX8PDw8PDw2Ae20Y/Yxga573OlfUN9HFnbx2mt2LYY1+Wp/8P2WY+J+XJJ+7KRV+8kLdfchqv+iv62/V1S+7h9qL5EluOJ+89s/Qu2z3NP1Ot1tFqtzPO1pP1TF4fYlsu0Kx2XLBrRHh7bQPlA4/EYR0dHGI/H+PDDDzEajTAcDnF8fIzZbIajoyMMh0PMZjMMBgMsFgtTD2y5XJraXlqL1fYNZIHmBdK/o3HmarVq8o/JJWL/SF9ZGIZm+2KxaI6Nx8rzHQ6HJmed2o9x4zXjMPThM1+Ux6K/p8fKddQT0XzmLH4ixjyS9DvSdBmZE5kW/1qv19d0C1zX47bjAreNLFpuLlvD1QZAYlzK3k9WnZYXDba+VRx4LZPGTM2ZBi791fZYbfvvFHlqSqbVbrKRVnfCRlpdKUVWmyRru6wacVnbZbV1sl7TrO1s/uSLgCx1JdJyf7PsI63WxS72kVYfclf7UK7kvvaRhUu8i33cF3B81NjQvn/P/m07Pqwv2nWu72zfAPXcFPY8VHUy43wd5AUmjVFJ2tiEzWt9SMgyRmepu5BW8wrINman1d8CsmnQZtHpyDJ+ZxmTs4zHWcbYrONrUg1MINt55bGH9okkPnya3mlSreK0nJukGldJNa3Sxoyk8TNtDE+yI9I43fu6jqrHcl9g+yZtdLvdWK4EfSRxNSLZF9jcC26rfan+l4XC9do6ynWo1WrXxjBqlRaLxdh+czabXeNPKtK4nqVSKfY5IYcojjPKc53P59eeF9WncmkH231PWh3UNFvuvoPXQ20V2lKq1aPfUydMta7VpqIPrt1um/3wOSd/uVarGV8cbSXymsjzpEY4/V7kiNMHQ94m+XI38cuoT5Paguo/rNfrxtbodrvodruo1+smT7vRaODJkyeo1+s4PDxEr9eL7Q+SxlEfT/Dw8PDw8PAgdA6n88Tj42OjTXlycmLiqMwFPz8/x2w2i2hMzGYzTCYTrNdrTCYTUyeDNhbtMMYlyRmnnaX5MruMhal9qf45vtOfR/5Po9FAsVg07zoPYs4R5yjMk2Wus/orWeOD12k2m5l5/NnZGWazWeo8gaAfyfXe7/e3Xsf3w8PDnWiReHh4eHh4eHhsC413qI30v//7v9hsNhiPxzg7O0MYhjg5OcFiscB8Psf5+TnW6zUuLi6wWq0wmUyMTcoaRpPJxOSF8jc0d1LtUc3P3gXU38kYpNbCoo+TmgKMMds1tEqlktEFYL0J+pPJdaQdnocXwLge4420D6kV1uv1UC6X0el0TBv6L9mm3+8bfyNjm2zT6XTMfjw8PDw8PDw87jrIK1EOyYcffojFYoHJZILT01NsNhscHx+bvBLqG7J+8Wg0Mv7A8Xhs1lHXaT6fIwyv6lbzs2qi3VTvSnmNjLlTf6parSIMQ+PvpJ9Ta3hRR5OaVtT2A650+xaLRa4aQrvyZ7rWHRwc5M699PDw8PDw8PC4i2AdB+CSL31xcYHZbGb8ocfHx1gsFjg/P8d0OsVkMsFwOMRiscBgMDD50KxPS38oY/b0hdKXSNtuVzF6+kFVE1dtTPWV2vpsaguTt0lbOQ30STJXpNfrmTqJtBnVT0k/J/NG1AdKO1N9n7vSgPDw8PDw8PDYLzSHWzmRmqem9pYuaz6a+gZ1WePZyrPUPCBd1rw79aPtqi631izR3EmtAcVlzR3RnFd+T/4kfYGsH1CpVIw9qbk29HOSG0meKPVsqNtD7RqtSUMb1NZOvwm0lo5d84T5OszVof5QrVYzsW/ahq1WC51OB61WC71eD+12G/1+H51OB4eHh+h0Oqk5vB4eHh4eHh4vDvLWdVQ7UG1FtSHVzlT7U+1VtWPV1tVl3c9N6z2qjolqrNAGVVtTdVFU14V5zupno9bscrlEo9EwOfyFQsHYmLRLaYPS3pzNZpjP56bulH6mH5T8UF4HXmNyRLetVaG+T1v7knYn88U1pq22J2t80fbsdrtot9s4ODhAu93G4eEhut1uqsaMh4eHh8f9g0sTScf2uHVaB55g7q5dk3E+n0faUctY9XY4Vuo6+nR0HbWAbJ0du/Yjf8fWyuEYrrBrX/F3blozdp9QjSTmE9sataoVaNcFLZVKpq4ogGv5ytTTUb0Y2lVaY63RaERqrAKX9hm5fPV63dSs1N+uVCoYj8dmmf8J+Y21Ws3El4Gr3BQgakvS/lW7U/2naTqeWaA2pPouqWNn25P0c6Ztpzatyz+q39Pvqr/F2LGHh4eHh8eLBldc06WR6NJBZZ0SxWq1wv/93/9F1m02G3z00UfXth0Oh8b2Id+NORpsA8DEKVXnUnVtdJ9aa1fjljwO/cw2dp3gu1ZDjHahrYkNXMVQVbdRdXZsHUTgKreE9hK/K5fL5tq0222T/1IoFNBqtSLXmnqPy+XSxKE1V0ZrcWw2G5TLZROHpm9wPp+jXC5H/Jyu5SQd3axQPWjXctZ1u9xGuQAeHh4eHh4e+WHr8Ns2rK2ZP5/PcXJyYuwV+lhVo36xWOD09NTYg8zbUH/YfD6P7Jf+N43V2j5Y6sMoyL0j6LtV2LYr+Xh3CVrri3YnwbqCbMfPtA+pwUPfKaEaPWEYmrzpYrGI1Wpl6qnSFlV9cgCmPuFyuTQ28XQ6NftSrijbDAYDc32T6iWkQet+aNydPkr1R2p9FMba1YdJf6jW99BYPf2ZcbxRxvqz1gfz8PDw8PDw8PDw8PDw8LjLKIR3LYLn4eHh4eHh4eHh4eHhsXcwmUWLsbCwjes7EmJd3zH4r+uUGMvEGk2mcW2zDTQBicFvFQ5nYDsMQ/NOwuhqtTKBdQa4CRJgKS6uhAIl09qF6p8HUVbJBQz087MmbJEAS7JBuVw2hFUARlCI3zHJit8xqZ3FKDWJq9/vR8gJWsCxWCyi1+uZgDx/xy4QrolNQDTI7+Hh4eHh4XE3ocn8tCWVYOqy+TSJhUJDmmhN21H3TVtU901ia5wNug1IBiyXy8Yu0sIttFVsMudisYgUpikUCthsNhFbksuaPKQFx8MwxHK5NPaq/Z1tg+6yQHlW2HYn39X+LJVK5toBl9fHJrHaQkD1ej1ynSluSVSrVXQ6HfMb1WoV7XY78j9QgEj38fjx48jng4MDYxtrApIeh67zifEeHh4eHvcVtJ1oV7EQIN9ZqJqFWcbjsbHHaKvRjsuyr6xgEgh9QEwCZkJIs9lEsVg0dkCz2cR6vTZJLhQaWi6XxvcHwJngUq/XnbZm1nUqgpkXtFNKpZKxL9UmUvGkVqtlzqPRaBh/Je0ptXdYgJsJ7BSYpD262WxMe4oo8bcpSFkqla4llcclod/0OmSBbX/l/XxX9uFtSw8PDw+Phwb64E5PTzEYDHBycoLxeIyTkxNMJhOcnZ1hOp3i/PzcJIXP5/OI0CdFrllgxRY20uIqeaGFpTW5ulqtGpuRMWQtsMLlWq1m4qSMn9K+bDQaWC6XqNVqxl8HXCXd0yeptrArLp7XVnaB9rImOauNQftChSJdguaaRK3xV03CdiVpu8TTfUK1h4eHh4eHRx4w3nt0dGTeJ5MJjo+PMZ1OnXYlfZMUUZxMJoazSF6jFo6+iV3J+C7jnRSYUfuShVMoig4gwoGjvUVOnopRApf22Ww2Mz46HiftS1ec3BUT3xa0KdWOox0YJ7bj2kZtQ7Uj1eeVVgBSf09tWA8PDw8PD4+HB9p34/HY+A6Hw6GJS5+fn5u45Pn5OZbLJYbDoVk3GAywXC5xcXFh9jMcDs1+soB8NluUWvl3rte2IK/OFilXu5J+SS0CTX9fEARoNBqRYtDNZhPtdhutVgvtdhudTse8aFdpsW0PDw8PDw8Pj4eAs7MzE3Nm/Pn8/Ny5jr614XCI5XJ5bd1iscDFxYWJ5zLfJQ30+bGwIl+E2o+a76HLu7Iv6XujP4+5wEEQmPdKpYIgCFCtVk3Ob61WQ7vdRq1WQ6/XQ6VSwaNHj1AqlfDSSy+hUCjg5ZdfRrFYxCuvvGLsVJsD5+Hh4eHh4eFxn6BF+M7OzpzLWdfZ3zPnJA3kKNIvqAURgSv/pG07Mu7Nd9qt1LG5aU6HFmMk55AxX/VfVqtV47+kjUgbMwgCtFotY3fWajV0Oh3jy+S6R48emW3UxrS1ZTw8PDw8PDw87hry2ItJ625qU1arVZML02g0IgUG6S8sl8tYrVZGlwZAxKbU12aziRQY57pdadbQ1nTl+FD7UPN6bLvT9m3y1Ww2UalU0O/3TZvHjx+jUCjg8ePHaDQaTl6kh4eHh8ftIkmLwtatUNgFkHe1X9U6viv7TcoHSNuvXeDZBvMP4mAXor5PSOLFpeUipGkYayFiF2xN5G2PjfnUzIVhUWfgUhOIOTPT6dQU3V6tViYfm5+pxaj23jawc2foE9T8a9piGoNm3kyj0TB+w2KxiOVyiXq9jslkgkqlYo6VMXvNsea9yudBtSW3uU8155r/h6uotd4LrqLUuo2r0HXWbTQfx+NhQe/VOKTdw9TtioPmlbmQRbM/jQ+Tps2aRRMhbcxJGkeB9DEPSNe4Ssuxy/J/ZZ2b33W0Wi3jI3CdT61WM32V65qWSiU0m03jM3Ch0Wgk/h/ky7vA8Ur1ZxXU26XWhw3eSxxzbPB+ps/E/m2931UjF7i8HvbzoPq66/U69nnh+Jd0r8/n8xvlgj5vpOmjaf6oC2m5DUnxwjQbL03nRHVSXEgbr9O4c2oDuJBmQ6ZdW83HdUGv7WQywWw2w0cffYSjoyN89NFHODk5wenpKU5PT3F0dGRycIbDobE7Z7OZsVFV6/omPkJyKzVXm75A2pS89p1OB9VqFb1eD71eD91uF0+fPsXh4SGePXuGT37yk3j8+DGm02mqzZs2LmVtk0VfMUubrDroWcYqINv4n+f4gHSbhEgb0wlyetOQR3vpoYzTeUD/ORF3/uR4pP3XGkeIA5+LuHace+pv2xxq173EvgC4vNeTjjUMw0R/x31CuVxOnQ+2Wq3E8bNWq13zU9g5kVk0GXq9XmqcROe3ScgSc8mqFbHLfaWNxwAieha3ta80X5PH7pG3vl0ezZa8uoFZx1giy/zYBn0HH3/8sdEM1xdtES5rG/U/xoE2G7UZlQPJmDRwNb+kH1Bjz9QAYozarq2Sd4znb6q96bI9GZ/WWikaX+fcVdvZc5bJZJIpzwhAxL6kXe1CnnEw67Wxa9R43D3ofZvWLmn+Z7fVZyCpXZK9oVBec9I8Vp+trKD2a9ZjAZB4DHosHLfp+897XC77l7oPcceV5zy4v1KplOifsJE1j48xm2KxmNvuYL9uI6utkxf7so3uAw/9odqF+7pX9o3JZJI696QdZCOvjberbbPmP7swGAwwGo0MT3A4HBrt8PF4bLR/VqtVxJYcj8fGjmQcl7VOXLDtMNZ3BhCps8fP214LhWsM3NYmirMz1cZkfNjmPpZKJYRhaD6T28ltksbqNI5MEraZQ8SBPr192JSLxSIx5unhQdTr9UQf5k3uz7h976KufL1ej9iHSXHWbbELXne1Wt2aV2T7hrNC8yDzbsfftH836TOXeZ52W9ufbSPL/RD3vZ+TX4HPmmv803VxvAJ7O8YYs4C6K0nHxnmyvU/6rmyk+Yr5u8CV30fvpfV6bbgJ3L/+Fu/zYrFo7DXXPrTWMbfTZf1tbqvns+3znwW2HWW/+D/TNrR1erjMensE22uOS6FQMNeMy9pHJdVwtts8b+i56rVQn4u93r6/ud4+pzi/jautfSzA1TVy9ZuaD681tXW9/ob+Z0nr9DfsdS5tUFc7j4cL1WQArt+zrucJgMktc/UtbKufuZzG04nDtrqv2/i28mr3p3Gnttlvt9uN1EAFYGqOEbPZLHItdW6oXD32J3ashTGs5XKJ8XhsatACMDXB2HY6nUbyKHlcOgZzGx0jFovFNZvS9hvdhKN/G0izu/RzoVAw5+/a7i6fZxL0/Gh72bYG4xQuPht9+DrekoursZNyuYxOp2Pua17LSqViagbr/RUEgTOG5xp7F4tFJMZBvqrGJJh3AlzZvqz9x/2y1onGgIvFYiRfhXDFQl18s+fB2+L/otqN/I80LxpApBaNC/zvtM4MfXv0ZwKI3Dtqf2guNmPdXNYaOPyv064Vf2MftZ9trqvyem2erXJ2bF+/vR8dG+0xRfmx9jhix0Z0rLRzu5RH+xBr1MRxOZPyRfa9jWudK1fR3qeLO+PijLr4ODZ318XxycqlvQlsXrfe4/bzYHPq7HvXvs9tPpzNr1fbT7fV/erzyhg4eZfsQ6bTqenPmLfEOBS5QhpD2FWbPCAHj+emzzavy67b8Po/BF2J1WqFH/zgB3j33Xfx3nvvmfdvfvOb5tl99uwZXnvtNbz66qvm/fXXX/f1Yz0eLKjTo68PP/wQH3zwgXP9j370Iyc3st/v49mzZ+j3+5HXyy+/7Fz/7Nmz1Hjv+++/j69//et455138Pbbb+Ob3/wmwjDEs2fP8NZbb+HNN9/EG2+8gS984Qv3vn/yeHHxL//yL/jSl76U2uaLX/zi7RyQh8eOsev+nONW3Fhlf3d0dHTNT1Ov1zOPV/1+H6+88sqDm097eBCLxQLf+c53IvOjd999F9/61rewXq9RqVTwyU9+MjI/eu211/Daa6/dC+6unfdjv9PPwncuK/eQftykeX1cm7ygn48+FvoT1adBHwj9fvSD0L+oPhh7fk+9Ivpv1+s1Wq0W5vO58ZWob0vP0fZdqX9bebjqB7N9H7bfzPZz2Xxe/Y28eWd5oX4s/f8rlQo+8YlP4PDwMNLepb/g4rS7dA7sGKYr3ujal+0Pc3HNXfuKy+dM0pBI07a4j7DvR+We2/eXfW+qvpH9fKuf1/bnqt92X7+/K9BXS842c+s3m425f/h8lstlJ9dKeVW2Fm8SbJ48Y47lctn4bsmHWywWET669in0795W7K3VakVioOVy2diMjGuVy2XzTKoekD7fm83GaNApXHy9RqMRiTUUi0Wzjv8HY7eqAaS6CovFwsRPlXMwHo9NvTjClcfJOKp9HMVi0Zl7HHfP8tnR2OFyubxzvHg7b5HvvFauF58Z8skYv+QyY9/UPNRrrHkVjLky91i5gNyGnzXnGLh6XpVrzDa7gs0T0lhwGqf4efAnXM+UvU7nozanUOPfQFSbaz6fmz5MvyfYj9m6XPq92iGz2SyWk8Vtyffh9nFI09jzuI6suiA24vSvbK6DcnCpD6UxYxeXyv7M/oGwOSt2323za8jHIOdD+w9+r79pj+d2HsOu8tiSoPWdgOv5ztTU08/KtyCPSa8DP3Mdn2ueG+0P7T+pB0uOC7cDEOHUcTuu4zHoOn32OZbzPyEmk8m1ZzxOp48aus8bqk2o3GSOizrHY5tdg30y/0NyXcvlMqrVqnmxRoPOw2k38XvluBH0lwCXNj+f29VqZdryniE3c7lcGm1kcjL5X5J7aWuG2FB7Q/sA5f9vm59kXz/ed8zr1N/UZf1PlVfI7/VZ0e/5mTm1Dx2sAZLG7y8UCte0tOLGkXq9HptjAFzdgxwz7H7b7ufZd9l9vD1G2Do42lb/711C5y52/8/nlt/X63VzDKxdqG31eWYfAMD0D67ftDUmKpVKxFYIgiAyT2D/oPMwapBvwzkpFApbbxfHb7d5sDbyaHbcFrb1h9C+zrL/LO3ygvx/apHuC3H7n8/nOxlr03SAXXDlDexy/3nAcXif+99WpyILlM++D9z0+q9WKz/vvGXY+Rz6DrjzTNWHSR67y75Ly9vqdDpb5XYBMDXRtkGlUkmse5KGbrd7zR+aFVk0M+OQNd8sDtvk0uXVX0rTA79p+7z1Q9Jq3Ni46TX28NgGWbXI8yKrJnleaIxyPB5n8s/Td5GG4XCYeZ+bzSaTlrruNwuS2m02G3NNV6tVZvt0Op1ey+WN27/LznT9TpKmGEGfUNbjVB9SmpYLc4xdsHOast7fXpvVQ8HYZhbbxRUDtxGn/0ofC/eTZt9lteXoB07ywdixQJeGYpJ+Tx7bLq9NlFajxT7GPFzYvPZlnvPMa8vt8zw9do+0OjVZ6qyk7SNLruwu9pGmUbqLfWTJMb3JPngNRqPRjc9lPB7v1Rd2m2AcIcmmUX+CKx7jqtsGRGP8cbXfABiNl7T6Ni6tLwXjPKy16oJ9DC6b39WHz2azvcyB7iKSxj3lA5IPoNoYWn/M1vKyY+O7sKPVL6icS60JQU4iY1s8v3a7jXa7jSAIjO5LrVb7/+ydWYwk6VX9T+6REbnX0l0945nBi4AeW3bTGGQ8yOaPBGKRkHjiCSHEJrHJEkiIByOB5AdekCwQAiQE4gWD7DeQbAkhTI9BhrGxYMYeN8ZLe7q6qrJy37f4P7TO1ze/isiIzKrqWvr+pFJGRURGRG4RJ+5377mR186gnOUg4vg8xdEMcfyp4uQ6R/Wri7vOVSDKuyZq+apesEG+Fessj6oDiPKNjloedS2NusZFLY/SLlE5elHLzys3/Dyxe0HY3y3XdZd+n3aOVtD5ltdP13VDfbvsPADJYrFYec+QyWRWasNcLreUjy3h+Z+9wiX0oyL2d8n26JMeVbyGS+TYW9h5sNvtmnyeIOL0BrgKRPVMBaKvF1H3tXHyRaOuN1FjJ3HuUaOuRVH7iLrHjnp+1D33qvc5SiPYx8brkTy38n5HXi9kzDzoOazHCXsOY/nyHM/ncF7U9SsM+d2krqEPzyrvHn4feR4cDodwXdfEb5kDyhyQ0WiEXq9nroPj8RiTyWSp/pHPYV6i7fkYF8a+mDspcyg5zut5ntGQ1WoVnuehUqlge3sbpVIJW1tbqFar2NnZQbVavbZ9YxRFURRFuTrQ70DqvmazaXqH1et1zGYz02+MGkt6T9BzgvF1ajXmVTAvgdqTNSEcT5d+uqdFjo8y7izjgaydoa6TvWN57+r7vvGS4H0yPYh5vPRRptZst9uxNCbvO+jlw2n7MWhZnPXXGStUFEVRFEW5DMh4JT0TO50OBoMB+v0+RqMRWq0W+v0+BoMBOp0OJpOJqTmmHmVclHqT8UHqtSAtKuviT6NF7Zpm6Q0kfYDsZYS15Xavi9FoZHrdxK2LD9OPcfXlquds2jtJURRFURTlsiJzlY6Pj9HtdjEYDHB8fIzFYoH9/X0AwMHBARaLBZrNJiaTCXq9nsljGgwGxg9wPp+j3+/D930MBgP4vm88DBiDlR6Up8mRlPpz1SMAozXpe8f9S20cBfNGqA9LpRIymQzK5bLRi8ViEdlsFuVy2dTLFgoFZLNZVCoVkyfAGGa1WjW5Etehp4+iKIqiKEoc5Lh8q9VCq9VCr9dDq9XCYDBAu93GcDhEp9PBaDRCt9s1OZLUr/REG41GJleSHoX0brZjoKfVoLI2x/Z3lH7S8nUy3hk3tsla5HK5bLSm1JWZTAaVSgWZTMbU+tjalPMqlYrpIVksFpHL5TbyzVUURVEU5WojPQekl4L0xJLTsq5U1pByWmo5WaMTVI8j15VxSB5TVB1oFLJeR/rFsHZH1ih5nmfqvYvF4lK9Hqd938doNEI6nTa5nrL2Ro5d248ci6dPuOwDsokGlZpT5nxKH/RsNotcLodcLmd0ZKFQMF7G+XzexDOr1Spc10WtVoPnedje3kahUMD29raJaSqKoiiKopwWqf9kjbfsT0rtKbWg9M+Q+pUaVGpN2aOR+lbqUqk7Za/HKP+UKGTtPev8Zc281J7UpqwdXywWpqfidDpFKpUy+aIyt3M8Hht9Sa1p508yBmrngp4m/hmlPTOZDHK5nKkjdxzHxB0dx0GhUDDa03VdlMtleJ5nasu3traWtOc6ntOKoiiKcp4EeciE+crYXmvj8RiHh4dL/08mkyXPtMlkgsFgYHQOr+PUSLyWDwYDE4diLIp6iN5V1FK87lMPUQNQT/A1ME7F/2XNCPXCRfSEXQVz/eyaFPpuytqTXC5n+qX5vg/Hccz/1C+ypza1GNcFYJaxd5/dg43xReqwXC5nPh/2dKPWpH5jfU8ikVjSwJtg108/7XlyWuu1FUVRFOXiCepLJOctFgscHR0trdNoNJY8bWezGVqt1pJGaTabS16pvV5vyed2sVig2+0u5b7ZOoc1zBLWlRC7jw+1L5E1Jvz/tLUm62L39mNdtPTv5jLbO569rQGYuBr9eaRfKD18qNG5Tda5LBYL4+kzn8+RTqfN5yF7ezJm6Pt+ZG+AVcj+cPS+lGPwsr6F3uFxnyNjp1Jjsj5bxlOpN7VPiKIoiqJcPey+nHbfBBlv7fV6WCwWphaZnvv0bGQtMnCyFyV9d8h4PDb9JVi/zP1y3JUaljE96lPZ61HWF/N/W5deRM8dGQu1fXmoMamXZd4ftarUlplMxmhvPg+A0aOJRMLEPIHH708ymVx6jxjzXMfzJ4g4OZ62/pT9+Kgbpdbkc+R2qDkZ+5T9BDjWv26vZEVRFEVRFEVRFOXZJuE/zVErRVEURVEURVGUZxgOOssCZBYSc5ksKF61jMXKq5axIJkNCblsk4IbJhZykHexWJhCDGlOKG8x5YC03KecZjGMvf55YRt5hxX3MHmQA8+cZhNEFvMAMAY5TBSkSTfwuDjbdV3zPweW+fxSqWQKgdgg23EcJBIJ7OzsLDVdt5uwa0MZRVEURXm2YdGN/bjpsnWfL81z1sXWXVKfAU+aVFMfMmlQNmAhLLbmOnL6aepMYr8GWVxO/cxpvgdMCAQevx/Ulvzf8zyjSXO5nNGPLHbhdnK53JJJEI2/gceadWdnx0zT0Bt4nLy4tbVlPgdNQFQURVGUs4fFJ4zXdbtdY+Lk3+lHAAAgAElEQVRDvRU0r9PpYDqdot1uYzabmXX6/b7ZFvXZOiYwyWQSpVIJ6XQarusinU7DcRyjN6hJbN2SyWQwn8/hOA4GgwEcx8F0OjV6ZzQamSJiFnJ0Oh0kk8mlghyaHNlFOuvAYwVwQkstFgs4jmP0oF2YQo02m81MkYosPGHBM9cdDodmW/P53BwzzXdOU4gShCwgAZ4UivA1ykYsslDFLmKWRS7Ak0IW4GSskUUwwEk9yGLroGOzGxHaz7WPV1EURVGUzfB9H9/4xjcwGAxQr9fRbDbR7XZxfHyMfr+PdruNXq+Hfr9vHkejEQaDgTGL5NiyLEpmo5XZbLaxCY5sqMwCYT5KA2g51irnJxIJZLNZzOdzY4TImCGn2SR6Op2aYmwWgJ9GU1LLSFMZai9Z/MtxWamhgoqEg4qIg8y8gSf6S+6bRcOKoiiKoijnAeOIDx8+xHg8xv7+PiaTCQ4ODjAej3F8fIzRaGQaLPf7/VBdyRzI8Xi8ZBq+aQM74ImuTKVSJkeRf8zLo56UmpN/Mu5HTcZj4bHRcCZoHNw2Zl+HszLHPqvn2HFBRVEURVEUCXUQx6/7/T663a7JCeRYdKvVMnpJrttqtTAYDNBsNo1e7PV6GI/HsfIJpfm1xDbq3kRTSoNtqRftpshsSif1E/88z0OhUEChUECxWESxWESpVEKpVEKlUjGPiURiaRxVURRFURTlWUDqxl6vh9FohE6nY3Rhu902TZibzeaS9pxMJmYsezKZmHjkYDAwcccoZD2wRGrIs9KVdqxSakvmLqbTaeTzeVNDzLHhbDaLUqmETCaDSqVi6jccx0GtVkM+n0elUjFas1araQMTRVEURVGuNbI+hg1YpG6UdTbj8RidTscsl7FJxiE5ps1tRtUP214ybPqcTCZP6Ed64XCbrFPe1KrVbgzI8exEImF8ZVzXRSKRMHmE1IXVahXJZBLVahWpVArVahXZbBbVahWO46BarcJ1XVSrVRQKBZTLZVSr1aWcREVRFEVRlOuEzPuT8cfTTNfr9Vj1wYwNMqdR+sjIJnvSD4f+N2F/p21kbdfx8Dh5rBwnp98hY5ocL2css1gswnEceJ6HYrGIZDK5FM90XRflcvlE02YdL1cURVGUqwu9a8JgvC6MKG8b+mgHIRs/b3JsUfXE6x7bbDYzNTLMj5xMJqahMR9nsxmm06mpobF1ndR3p9V4YfMuouH0WZHL5Yx+BrD0mEwmjceiXId5AdSqXNcmqi5b+vUEIb12bKL8cmR9eRBRtT1X+dgU5ToSdQ2h51sYUdc4AOj1eivjEFHXYNl/Iowoj+Coa6nsmxEGfT7CkDWbQURd7wGg1WqtvKZGfV5xXsdVp1AoLF0bg3RILpcztbZhnxm9kFf1LPF9H5lMJvS65Ps+5vO5iU3ZLBYL871knbCEtb8Sub/pdBp4fIyN0T8niEQiEfp8MhqNVn7fBoPBqTTeZUJ+hjJPUsYaZU2O4zgoFAom3mhrsijv6iitFqVJuO8womKUUT1cpCejTSKRMDHRIOJ4K9r+jEHEibOuOs5njbhe+Mw5iSLq2kvWua7E9StYde8siesvG9d/azqdotfrRa4XR9uQKG1AorQQYV76qmOjv0XYa7b7ZcV5zc8SPNfbhMU1eL2IWs9+TpzvuN1r4roifX9teH2mD14UxWIxVJcRjhMC4Z83gCVfYYm8fmWz2UhPPOa2RR1XNptFPp83uXNhlMvlE9uiT7b8P04PjTg93aLiKJtuq9VqodvtotvtotPpLE2zLqfT6aDT6aDdbpvpVquFVquFTqcTet0rFosoFApwXReO4yzpNQDGv5FamH0PGetkPTi9w2U/lzhITyD2U5E129SRxWIRruuiUqmgUqnA8zxsb2+jWq2iUqlgZ2cHtVrN5EKqT87ZE1fv2KyjBWyirvmTySTwWj+dTk8ca1T8gBwdHcXSGb7vL+2Dv4uw44yjPReLhclpjoJjDFHQ04u/06htxvn9St/ZqPdqMpmsdU7wfT/2ayMyVhC1HqGv2TrQY1dRFOVZR+rEqD9i12jb9dv2veFparrDjnfVPPma2EOb0/YxhR2fXiMU5dlgVVwmirDzRDabPfMe8mHjbKvgGJ3cxia53dK/d10uap98/xnriLvPVeNOcfcZhn3PIsdHmWdmLwNg4t2sT7DXnc/nS7lprIvlMo4hsM+IxP4O29vmNuzn2OusGzs6LUHvta0FZG85Htuq8WwuD/I9DNsP35ug51zVuHbQeLE9D3gyFh+knWzNGOTvE+b587T1V1C+op27yN+eXM551JlyPfnaZO9DSSqVWoq/8Hn2+GXQvKdBMplENptd+jzoq2SvJ89/vu8v1S8BMOckXgt4vmD8WJ53uJ58v3iO5LFwO/ZY33w+X/ru2fGt2Wx24tw5m83Mc3zf37iXUVzoc0o8zzPvHWu5COP6zM2QngD2uIzcDnua29shOzs75vPhmAyR1+tkMrk0RmRvp1wur/V7ZSyZHlyrWKe/apwcM0nccWtgvZ6pcXL2SJzXd3x8fOK8wes9p3u9nvnu28dC7cA4e9B1id95uZ+gMd7RaBT4nslzeNzP66pg5z4FXQs55ibn8zn2vYC8njqOs3Rek/1m+duQ58TxeLy0jHUN1JXcP+dT/9t1C3IZsNyTQ9a5ysfTvH/chxIO+6WQsHsRzpPvpz1eynwNuU6YrrW/m7zOAE/OM8wVlOcYXiPsa7S8T+E2ZG9Dfl/l+Ut+D4GnUwPD33XQ/U+c50n/clk/znpsvof5fH5pnXw+v9TvO5/PL2kBmc/AHoiEeRPA4/dfXvuz2aypXeK6T4O4+XbrECfXL854dtyx6zi5aVH1AEC4pth07P1pEORhGuQ9ZfcuB4LzdO1apqB82aC8naC8DztHNig3l/6tH/vYx/DZz34W8/kcyWQStVoNn/rUp/D1r38dv//7v4+DgwN85CMfwS/+4i8u6dk4+SZSW1KzSZ0n6x9YxyA/c+Z7yvxLfufkduRvibmkcjv8fsXN4wyCuUnyc2dOE9+LTdfh5xVnHSUes9kM3/rWt/D666/jjTfeMI9vvPGGuSfZ29vDyy+/jNu3b5vH973vfaG5fYpyFaCvj/zb39/Hw4cPA+e/9dZbgVqkWq1ib28P1Wp16e/WrVuB8/f29iLzWM+CTqeDz3/+87h37x5ee+01fO5zn0Oj0YDneXjf+96Hu3fv4pVXXsGHPvQh7O7unvvxKMpZsFgscOvWLRwcHAQu39nZwaNHj858jFRRzot2u43/+I//MOfqe/fuodVqoVAo4L3vfa85V3/4wx/Gzs7OUzkmXh/Dron2sqOjoxP31fQgjnNdrFareP7557XnhXKlmUwmuH///tL91Ouvv44333wT8/kcmUwGb3vb25bup/j4tOJqVwEZF2G8grE7xkQYq5CxOMZDGO9gbE3GQhjrYLyFcRBZjxvlGRGEjEXIOnXWWss4F2Mesp6LfjkyRsY4mNw2YyAyZiW3zThZWA2bPZ5pxxDtuKsdM221WlgsFvjsZz+Lv/7rv4bjOPjZn/1ZvPTSS/joRz+Kdrttxt+/67u+Cz/5kz+5tP+gMc+gOKld8xw0Dhu0raAY72n6vZ8VYZ/HKl+AsHr/VR7+q+Jgcb3/49QiRnkxAPE8DYDTxe7iHEcY/X7f/M7lWDbwWANx/IjnFLKqDpznHSJr/O19cHwdePz9tn+H3L+sW1ssFub8x7GvdeuiNkHmIEkvY0kmk1nytmP+DXNjpOedDccI7XEvTof95XK5pdwbjinyfZZj1+PxeGm8kjWsMiYTVJM3Go1i1ZyfJczNkcgxf75e+/wQNEYLLOc1zWazpbFUwnFW+V3iuCTHaOV7w7FbbpffSYkce73MeYurakDs8XP7/ZF1IE/7e3KZsMfU7DE8OxeBPW6Ivb7MOwNO5iPQm1z+H7Sc2w3yBkgmk9je3l6al0gklq7VrD0PquPnvEqlYjw/g7Bz4Yi8XhQKhZXXwXQ6Ddd14ft+aC5YIpEIvcZvMqa+qf9ZXF8Wybq5diSu740kzrh7HE5Txx6E/VqC8kzt/+U5V9YCjMfjE35k9vXXPi/beXwy14v7CsrRX+d/u35EzlcURVEU5eoTdJ+5LkE5xnL76473rtqeDeMM67DO+pvWscaFPZ3OC1k3EMUmdbCZTObcfOQzmQwcx9m4HjgO9DuWnkgyjiLz1GVMj+vK2ALzQzltb0vGbmRtLrfF+g0uP43e5u+CsX4ep8x9Z6xExoCCpjc5DsalmBMve5jxO+84jhkboZcdc+XZZ5cxQMZY5V+/38dgMDDLO51O4LFmMhm4rmv+6Fkn57muC8/zAudtWhtOTpO3e1XZ5J7/KnNW8YrzhDnk68C+3+sQx19uPB6f2G5cvwaJvR968a1ik+/lbDaL9I63iRtPl+f9Tc61Yc+J8zkozwZBPg5xnmN7QIcRpPGD/IftutowqCvjHKsc62RuRRiyztEmm82e8BmOQyqVip0bx9wQQo1rw5rCVbiua+oB43xGiUQC+XweyWQyctyfGsmGtYjT6RTNZtP0Vet2uxgMBmi32xiNRuj3++j1eiYHZDQamTFe9mCz65jXGX/kfSu/J6yrtKdZS8m+vsAT31HWTbI/XNjYRjqdRrlcNn1zS6USSqUSyuXy0nS1WjX/28u1p8PVJ6rfEYnjMRH3niDOOF3cMa64fhZxtPuqsUCpZ4bDYSz9eHR0FLnOZDIxxx/kaUVkbo5Ejr35vh9Lr49Go1jeFtepbxCw3JOJyNcXFddjftEqGItY9VuR+TSr+j7JY7xuXiRxKZVKsWKn7BUfRdzeCKtyJG3i9p2MmzcYN2cSWN1vUxKnjxNwPu9P3FzLuO9PnDr3y9x7gX2BHj16hP39fTx69AgPHjxAq9VCo9HA0dGR0W6dTsdcI6g32QND5jZuep6W/m+8t0mn0yaumcvlTFyzWCyaPh1bW1vY2tpCoVBApVJBtVpd6ntLovRF1PKo/KEo36mo5VFaJGp5lL9HlO6IWr6Ot9dlxHXd0Guq7/srlwMn8+tsmN8W9hnI/Legngn29u14YtA5RPZjDLqf9H0fo9EoMF+ZDIdDM44RBO8lw87tcWKC/X7/WsSro3ojxbkWRfVhjHPdi7rfjbrGPo190ENmFVGaIeraGUefRNVznKaGQlHOGl7HGU+QOch2/R7HxWSMwq4VlLEE1vbZz5c1gpuOLfJ8wfMbz5Xsfcv4KGtBh8Ohqbmgn7is5+Fr5zVuMpks9VzbpO+QrKthbJPj5MxRd10XxWIRnueZ2GKxWES1WjVxyr29Pezs7ODGjRux748URVEURVEuI9SM3W4Xx8fHAB6PHY1GI7RaLZMTSK3YarUwHo/R7/fNWBTH3Zg7yDEe6jdqPVkbvckYtY3dP0LGEeX/cjnweAxkPp8v9Y2gvlwsFrE9ZnmvWq1WzT0lY5H5fB6VSgWO48B1XZTLZaM1y+WyiVeWSiXT31dOK4qiKIqiXGc4zjqfz7G/v4/ZbIbDw0OMx2MzDj0ajdBsNjGdTtFoNLBYLNBoNOD7PprNJnzfN/UqHHuijw31p+yZQf15mhwjqT8BmJxIjqvRD0iORcj+MMytiXMM1WrVjOEUCgXkcjmjI/P5PEqlErLZLEqlktGllUoF2WwWhULB5KhUKhUTpy0Wi8jlcrE8qxRFURRFUa4bjIOOx2McHBxgOp2ax3q9jul0iuPjY0wmE3Q6HQyHQ1PnMplMTK7eYDAwY/FSg7KWnTXrdj/BTZD9g+U0l7GXoYyzxq0JLRaLyGazJueSepPzGO+U8wqFAhzHMRrUcRwTA2U8NJfLxcrxVRRFURRFeRZgHJTj8e1228Q/2+02BoMBms0mRqOR0aCsCR8MBksadjKZGN90jsMzBir9yTfVn7IuTmpOiexNHAV9i0ulEnK5HIrFIiqVylJuJmOaMubJdYOWl8tl5HI5HU9XFEVRFOVUyJrhoOm4885yeVSdcRTUS3xkvQ57cTGfkj5FAIxuZE6nHFeXeZ5By6gHN9Gecsxd9s+h15TjOKZvRDqdNuPeMobJnE3maxYKBVPnUyqVsLW1ZfTn0+hfrCiKoiiKYiPruaX+Y923rAWXvslSF7KOXNaWS/86jl/LfXH70luPteKn8WeWPhH0Z8pms3BdF/P5HPl8fqm/4XQ6RTqdXurHxGlZt8NcSrtm3F6fuvO02pM+7Dx+27eIvuscS6f2LJfLKBQKpsa8WCyiVquhVquhUCjgueeeO1ePfkVRFEW5Ttg+Nra/H3UM9Q9rRobDocmLoz8iff/YV4E1wfP53GyX+oE+icT27ZNeaKxHkXXHzAuktrFzA2Uvg9PWrKyLzC2UNdWsc5Fjv/yfeYf0n5M9c+z/2ZsZWB4v5rLFYmH6WzP+uGkPBtmfnTUy0r9N+oLR24gxUeCJd5n0hKN+ld5H9K7nMm5D7j9Oz3lFURRFUa4PQb0epNdyu91Gr9czuXq9Xs/E30ajEXq9ntGb7AvD2NZgMDCal7qV2lPG+xaLhfGK5DFJTSt1FmNqPD5ZP83/n3avBqmdpAcQl0mNynVYj21Py1oZvkZqcWpO6u51e7dJqAOl5rS9M5/WMkVRFEVRFBs7djocDlGv101NM2tPgCealNqI9Snz+dzUojB+yroU6lf2l6HWZb0KgCXvSABmOfWn7CUue9IAOFHfcp761O4FKmOiQX/Ak15dto6l5pT60x733uT4GJMsFosmt5Nj8IxrMiYqeyzYMUwZ36SWlL0lGDdlrwi5LY15KoqiKIqiKIqiXG4S/nXqxK0oiqIoiqIoihIAi1xZOMLEPRbRyibKTODjwGlQE2cum0wmaLVamM/naDabJnGPTVA4WDocDjcauAwy5OOgIokzfZbIY2JhCAtoAZgiWuBxIxU2gc9kMqYAI5PJmMILFtZymoUV2WzWDEJms1lsbW2Z6Z2dnaXpZDJptiObOkc1ulcURVEURVkHakpp2kKjFSbWBWlH6kNpxtJsNgE8MXph4h0ANBoNzOdzo1upO1nAvC4smmBRBQsmVulK2dxZTp+3xqRBCwBjEgg81pXUm0xck9OpVMqYHjqOYwqEaSDI7ddqNbN9mgmSra2tJe1648aNpWVMupOJcYAWZiiKoijKdaHdbmMymaDb7Rr91mq1TMM46jY2NrbnUSuy4JfP5bw4Rig0HikWi0gmk6bRBjXOfD5HLpfDbDZDLpfDdDpFKpVaMmmeTqdIJpMYDAZIJBIYDAbwfX+pcIMxy3XIZDJIp9NGYwEwWo36ivNms5kprphMJkaDTqdTo0FZgMLi5tMiNZosmJDTwJMiCfs5wLKukwYwwHKcURZWAMtmNACWNKY0pQGwZFQtizHsY1MURVEU5erx8OFD9Ho97O/vo91uo9Pp4PDwEKPRCPV6Hf1+3zSJG4/H6PV6GA6HRm/OZjMTQ6QRoSyUjYssZqXZihzXpd6RcTc+Txa+SqM/Gh3SbIUxznWR+ocFp9KwjzqK+krqrqCi1WKxiHQ6HbhdqcNWbVdRFEVRFOWyUK/X0e128eDBAwwGA9TrdTQaDQyHQxwcHCw1Ip5MJmi325hOpyaWSXMXmrRIc5bTNBamnrR1JWOF1Jwcj5Xj0jJ+yTHn0WiEZDKJXq+3NA4dl1XGfUFGKtSAMt5HHRmkRYN0J7cv92nH/RRFURRFUc4a2YC42WwuNSO25zWbTXQ6HTSbTRweHpqxbBpScwx7Op1iNBrF1mF2A95NNaVsUGI3beOYOA3wHMdBoVCA4zgoFovI5/MolUrwPM80b5ON28rlMmq12tIYraIoiqIoyrNOp9MxOrDb7ZrYIhvutdttoxVbrZbRmdSVvV7PxCYHgwEGgwGm02mshhxh+W/UkqeNVbLehPFAjhfncjlks1nTCNjzPORyORQKBdMQmFoyl8uhVqshn8+jWq3C8zxsbW1ha2sLnuct5QIqiqIoiqI8S7BOptvtmiYk6053Oh30+310u10Tl4yTbyj1Hv+XGpKPp2k6Yscq0+k0UqmUqWNmzNJxHOONQ21JH5xMJoNKpWK8cKS2rNVq8DwPtVrNxDa19lhRFEVRlGcRGZ+0Y5VhepIxTDnNZazRZh11GNR5qVTKjHXzkQ3guA3W6cgmxZsg8yalxmTskk3gHMdBNps1Xjj5fB6u6yKfz8PzPLiui2KxCNd1US6X4bqu0Zu7u7tIp9N47rnnTA6jPZavKIqiKIryrPDw4UM0Gg0cHx/jrbfeQrvdRrvdxtHREdrtNvr9vqnvluPdk8nE1NzMZjPTADmuDrRrtllPw9gi57HuhpqUtTVsPswabfqcr1urzTxJakI+lstl04g4mUyiVCohmUyiWCwilUqZ+QBMDQ3rawqFgqkDop5mvTZralzXRb/fD809lZ6cQdD/PQzmwoZBb6cw6PW5ybFJX9DLdmyXnVV5u7Znk43ttxREHD/5qPsj21cqCNszKoioJtxRrxeIV4fGercwZF1bGE/rvVWU60Sn04mMOzG/bhXSh3oVq64N6+wv6vq6zv5Yo3wW+2u1WpEaK87+oq7R6+wv6npNb8R+vx+5v6sMdWAQfA/p7W0vk+8x458kSFdLn0pq4SDoV7kKemqGwc82aJ3FYrH02dvXtvl8vvK7cZVIpVJLXpsSvu5MJhNLJ0Rpozh5EFH6KY6uiaPlpE9AGKxXW0WUDgOi9VEcLyvbEzWIOLpRey+dL3GuLcCTnhRRxL2GSuLoE8l4PF7bX5i9MeIS5/otiauNJFHvqb3/oOs3/VXC6HQ6xksv6nP2fd/ElVYh98fnBG0rTJMxXsX1olgsFmt9FopC7J6H/ANg4pqMbTK+KT0sOSYun8ex8DgxhEQiEXpNZnxVksvlVuoJCfM/4x4LPYtWbYvIfjhRJBIJo7c8z4s8FtZBhcFaKQBLcds4uK5rtD3jx2HI/pFhnJXHksaclKuA7GEbl7hxDEmc+I9NXA0qWVf3baLjqEfXuc+Oo7PIZDLBYrFAt9td269u3ddCP791YJ3uOvT7/bU0P4C17yvm8/m1j3ddZaizZOwtqk5G5kTKaY5d2/U3QdMyX/Isel3bx0QNKfUkdSSnZa6lPb5uxyajNEpccrlcZO8X3/cxn8+RzWaXYp7sLcT/M5nM0r0n7y8ZZ+a6PF9L/025nPMWi4VZdzabmfk8R8rtngb2OgJg8lw5n+8/vTeB5TgwveOBk7peakT2iQQea1nuz56WPYLk/mQPoFKpFBmvWxfmTpyGQqFw6fRsIpEIjKPSc+E84X1YEHHi0UGwTxcZjUan7mPV7/fN74jeZusSN2YIrK8n143txe17RtbRg+vq2nVjhnHGLcm6ujQqv8cmjraOE9vd5F7gKhBnPCPoPGPHQektKGHPFbkd5q7J7Ui9TC9ou4+y/AzT6fSJ/fu+b66p3MZ0Oj3xG7Kv9+zrBzzRO6PRaOkY2UPmsiJraiSyhtvWh7KndVDPavs8eF69rE+L7Nct58nXHdTDO+j1hfX0Pi1Sm1ITM3+T01L38zXweLjefD430zxGPpefI4+bv6F14wqbvr5MJmOOV+YPEPt/qVEBLH1e3IZ9PuE9hXyO3EZQLoOtMXk/JbfBbS4WC/T7/RP3Evbva9W9Bq9963x/hsNh7OvrbDa7lteh08C8brLqXOX7fuh9R9A9On9vq3qH8folvyNxxiXPg2QyiWw2e+I7Lu/peO4JuleSv9N0Or20zmKxWLrXAx7npfP8M51OT4zZMHdjPB7D9/2le0gApocY30N7nCiXy6Hf75vn2TlOvH7L+1beS7C/MPAkl1/qhE6ncyLXn2Oyk8lkqb8H6xDY+wN48rnP53OzHXmN5Xfmsl47CWth5fgg8PizC7qPCsrHmc/nxqNFxkZ83zf1tQCWPLHZs5lxEb7PuVzuhC4EgsfeZ7OZuf7LmM1sNjM6EIDpByjjUMwvs/XoZDJZuh7PZjPznZHfXX6nJUG5DWepJcKQ10qpLYj9P/BEY9ivn3/y+7vqeyx72Ng6hr/toOeGeQpdRuLcJ501ceoCzpo4+XjrEPc1xPGUj5Mzd1b7C9vXqhzBi37ORSLHPeW0jNeETcvY2Gc+8xl86lOfWjoPJJNJbG9v4+joCG9729tw9+5dEwNgPZbcJ+N4k8nEjJOtm4snkb995s7Kz0deD/m9kr8j5tIGbUfWIQVtR+ZpcDtx8mGVi2M6neLBgwd4/fXX8cYbbyw98ju6t7eHl19+Gbdv3zaPd+7ceerne0XZhEajgaOjI9TrdRwdHeHo6AiHh4eo1+tm3sHBgfnfHt/JZDLY3t423t9bW1vY3d3F1tbW0vzt7W1sb29jZ2cnspbgMjGfz/GVr3wFr732Gl577TW8+uqr+OIXv4jFYoG9vT288sor+OAHP4i7d+/i/e9//5mez7/whS/gxo0beO65585sm8qzy2//9m/j4x//+Im8rmw2i9/8zd/EH/7hH17QkSnXibfeegsHBwf4nu/5njPbpjwPv/rqq7h37x6+/OUvw/d9vP3tbzfn4Lt37+L7v//7r4w/sO/7OD4+Nn/1et1M87pszz8+Pj4Ri/I8D9vb27hx44a5zm5vb2N3d9dMc/6NGzeu1DVYeXaZTCa4f//+ifuvN998E/P5HOl0Gi+88MLS/Rcftff0xcG8J8aHZG4Ox3KY0yOX8XkyL4t5SzJOJONOq+JEp833KZVKZlycMR/WKMuYD2N5Mp4k/W3sOFCz2cQnPvEJ/Nd//RdefPFFPHjwYCmulUgk8Fu/9Vv4pV/6JTOOJmu5o+q6z4ugHKugWomwfK2wuopVeXhhOXSrPtuw3LWwvLOoPMCn7Zdxln4ginIZsMcU5fxV/3MefzOsT1j1HHtcRf7eGPcPOj/Y9Q32WDXrCuznzufzE69P1gkAT3KjxuPxiecnEgkMh8NLM27K+lrp4W3nqL+xptsAACAASURBVNnjMHbeAV+vHDuWdRbrHg/rUZj7xRwVfta8/jLXfT6fm+clEgnjucjPUOY0sE8N8CSvUuZNcNloNEKtVjtRS8fPjtc8eY2j92Qul8NwODzRB9L3ffN/mMeB/H8ymZzYvrw++r6/dI2zczC4vhyvtz/LTcfYniXs+4tV9Say7tvGPm8wnwYIzwmW241bI8Ee8VGw/iZu/sA6ORVx/BpJHG8iyaY17Kcdh42T8xDGaXNDwvySxuPxCZ1rn1d4frZ1epB2tutSpF6mX8p0OkW73TbnItYEyxwCrt/r9ZZy93mPSI9grm/X6jHPS56f5PWUuUdcftE5SUH5WvI3LXPDgeVcLlk/YedurcpjXQe7JlR6ikidJf+Xue6LxcLkcMg8eN7DM3ddXvupBWxtserYZD65vc46ntLKMuyhAoTrcMdxzPfAXoefeZTfWpyazlwuF3kedl03st40KrYdx7NFeryc5li4jvSgWbXPuDHLRCKBUqm0dI5cBfsvEuZGB5FOp0OPYzgcbuTVGPd59nGu40MRRbvdPtPzxFl7fq1bnxnFJj50qzjPeNMmvibnyTq1r+fNab8XUjfY8Yy401KryXtVuY840+s+ZxOk34U9j9Or1ok7z16+zvPWJaoWyn5cLBam38XTxn7tQY/Ujza2Xg+r87T3F/SZBs0P++yBYG+4s9LZ3NZZcRbb4hjWWX1Hgup64rDJe7xubSaw2Xllk/1EeZ4q4UivmbgwprvOeKj0sYlC+iKtGydKJpOhMbcgf03OXzd3gfFqEifOx5j4OmSz2bViciQq5sfaxXXugRjPj4I95OPgeV6s3LFkMom9vb1LV7+jKOcF+7u1Wi08evQIx8fHS33ger0ejo+P0ev1zHr0RGD/D459cWx0neuk7U9H/SL96gh1HGu6J5OJiTEHwTEMjgV6nodCoWDGBjge4vu+8eVlf2H2eQvSF3zNJG6/mDj3e4PBwOiTsBjQfD4PzLexx6al53kY0+k0lmcTx0ajYu70DZXY68s6/+tOnPvDoPsTJT5hOiDsvc9kMkZLRelLxnhX6QfqvTBv76DzWFy9Fad3ChDfMzxO3xcSd+w1bs1z3HHRq/L+KGdLHD/AOLXiceK8cfI1o3wbZe7yJtuIen7U8qj81qj4e9TyqLEBOzfWfj+vQ+83OUZqxxzp3WTHifndY95aEIvFAolEYuW5K0x/ymNLpVKhPjbSgy3IJ5GvQSL9FcNyO6m9o64NV/2zjyJu3lOca1Tca2PUNTnOMUXVGUT18I2zD9ZYhBF1PY7T7y3qfY3yyzmLfSiKojwLsM5L6kLqaNZzMT9FalNqduY8sKaPj9SRfOT27cd1oPel53lYLBbI5XKYz+fI5XKYTqdmjJSxNpk/b+c5ynXijjcy55IxTeaeZbNZE1/M5/MolUool8vwPA/lchk7Ozsol8sol8t47rnnsLW1hVqthlu3bq33YSmKoiiKolxxms0mfN/H/v4+JpMJ6vU6hsMhut0uOp0O+v0+er0e+v0++v0+BoMB+v0+RqOR0Z2s0+SYMcesp9OpiY+xJinKVzkKGSMEnowzydobu/aWj3Fy/z3PQy6XQ6VSMTWApVJpadrzPDiOg3K5bGoKK5XK0jRjPdVq9cz6ziqKoiiKolx1OE6+WCzw4MED+L6Pt956C4vFAoeHh5hOp2g0GhiPxyafst/vm3gpY5zs193v97FYLIy/CMdcbf25SR6YXQcja9DluKHsIxJnP4xdlkoloykLhYLRoEE6kvM57TgOXNdFuVyG4zgm5nkRnmeKoiiKoiiXHWrJ8XiMR48eYTqdYn9/H7PZDAcHB5jNZjg6OsJ0OkWr1cJ4PDY1O8Ph0Hhu0LODHiP8Y03NJmPdkrCa7TCvgjDo4ZfP5+F5HvL5vBkXLxQKJ3QmtSX1aaFQWIqFypinoiiKoiiKEs14PEaz2USz2USr1UKr1UKn00G73V4ag+92uyfG31kvPhqNMJlMzLg7+3gz31L29F6XVZ5MceOo9MhjrJPj5p7noVgsolwuY3t7eynWyemgeZyOqoVQFEVRFEU5L1iLLntqBfXmomaT9ees15G1OKzrkZ603AdzLmWNOWt55P7Xhb489Ifzfd/0NLH912UcU/YqsR/tdddFeqyzdwm96DKZjPHAdl0XmUwGpVLJeK45joNisYharQbHcXDz5k0T39zZ2YHneXjxxRc3eq8URVEURVEuCupEqfvo0SS1I2vJg/rAynnUmBwTlzo1qK8s50X5Ja0imUzC8zz4vo9cLmdyFtl3LpVKGQ0a1AfH7pUnx9k3jXtyrF16ZbKvSy6XM303SqUSMpkMisWiqQna2tqC4zio1WqmbujmzZvwPA83b95EtVrVsXJFURRFucLY/dn7/T6Ojo7M/61Wy8T0RqMRjo+Pl9Zl/G48HqPb7ZqYGf8HsJRTCDz2CKTWY44hvT1lz0f+z+exV6SM4cm+j+fVEzCol5D9J5fZz7F7T1ML8jVv2j9E9jJmX4etrS0Aj3slML7IuCj97DjmzLFo6WtLD0H69tJ7UPru0vdOa8IVRVEURTkLOOYMLHuYLxYL4+sDPNaNR0dHRld1u12jN33fR6PRMNth3Qth/TW32+v1jK5kDiJrrtmjnFqNeYkAluY/DS1qa0o5X3oGUW/KXtqyt7h83KSOnLqSPYkBmHqaXC6HfD6PTCaDarVqlkktKrXkqmXUmauWKYqiKIqinBe2zzjjpqy77nQ6Zno2m6Hdbpu4KutfABgfSuBxPJU9cliTzX1xndlsZvItZW+/xWJh4qT0IrfzGbneeRCnJzrnSS1MXbppv+RMJmN6/zIuSQ3JfMlUKoXt7W0AT/qPsd8j8CTGyV6PsmcJY6NcxhgnNWjcXiyKoiiKoiiKoijPGgn/vLJyFEVRFEVRFEVRLDhQZz+uWsbHdruNwWCAwWCAVquFwWCAbrdrTOtonGwbJtM0ZV3swTMAS43gzgq7+RwTqWicwulcLgfgifkdp13XBYClQbVMJmMKDDKZjEnUymazqFarxvxka2sLiUQCuVwO29vbSCQScBwHOzs7pkiV+1JzPEVRFEVRLgM0KuHjdDo1RQu9Xs8kivGRJneyUVy73TaNiufzuWnKwfV7vR583zfN4NiEY13sYtQgLXke4XlZnJBOp83+mbgFwBjhATDGJMBjEz/qUc/zkE6nkUwmTZIXiw44XalUkM1mkUwmUalUjAFLrVYz0zQ0SafT2N3dRTabXSp6VRRFURRFiaLb7WIymZgk/+FwGDiv0+lgMpmYxr+j0ejEvOFweKIp22QyiTyGTCazFKOjHgIex+7m8zmSyaQpUKW5HBu5sbnGutBMTib7S4M77ouwcfFpYWI/9R/1omwSLKeZ5G9PsyhVTsvCUjktTVPktCwYkNOqKRVFURRFicvx8TE6nQ6+/e1vYzgc4vDwEO12G/1+H4eHh2YsutvtYjweo9VqmYa9w+EQs9kMg8HAaDpqLlkIGgep6ZLJpNFS1FrUfb7vI5VKYTabGY3J/VFvxkXqKuo3Fm1yLFjqKmo2GoCwUFMWZnIdGtzJfXDbcptqJqIoiqIoylVnNBphf38fjUYD3W4X+/v76Pf7aDQaaLVaGA6HqNfrGI1GpjHvZDIxj2zIywZuNF6WBndxsPUkcFJLSuM6aVrCBhhxYqESqfVsAzngiTYM0oHUn9Sdclscf5Y60zYSkdvS3EVFURRFUS4jHG+mefJgMEC/3zd1L8PhEM1mE4PBAAcHByZO2el0zPo0wZtMJsYw+bxM54AnmpL6UY6D07gtnU7D8zxkMhm4rgvXdZHP51EsFuE4jmmuW6vVkM/nsb29Ddd1sbOzg0KhgJ2dHY0JKoqiKIqiRCBrp5vN5ol6ajmv0Wjg8PAQnU4H9Xrd1FQzD3IymSyNZz8NCylqymQyiVQqhXQ6bcyG2QhNNrjI5/NwXRee58F1XdNAt1QqoVQqoVwum79arYZKpYKtrS2Tr6koiqIoiqI8gXqw1+vFmu50Omg2m2g2m2i1Wuj3++ZvPB4bTRkVlwxqYEHtuYkGlZoynU4jlUqZuudcLmfyFl3XRSaTMXXNrGmuVCrwPA/FYhHlchme56FWq6FYLKJSqZhp1p8oiqIoiqIoy9hxyLjTnU4HvV4Px8fHGA6HxgeS3o/r6EqpL2Wj4HX1pRwHZ012JpMxcUs2PWMzXnrpFItFZLNZFItFE8vM5XInxsRrtRo8z8PW1hYKhQLy+fxSHbWiKIqiKIqyTL/fx6NHj/Do0SM0Gg00m00cHh6i2Wyi1+uh0WiYxsCswWED4cFgYHIpZ7OZqeOOoxHt/EhZx83HRCJh6mvoCbSOvyRrYOj/zUfqS/uRHjl8ZF2N/UjvHenBw3od6dujPDvQVzUM3qeFQW/WMNrtduj9m+/7aLVaF3ZsANBsNlcujzoGABgMBhiPxyvXWfU+ADD+tauQvRXCoBfudUH2QAiD9YGrkN5lQUifsTBk74QwovLa5bk3DFlPGQavC6uIOqdftfdWUZ4m1I69Xg+Hh4eo1+v45je/if39fRwdHaHZbJ7QmdSY1Jf0hYyrL4OwcyfZR4b5kow/FgoFeJ6HarWKra0tVCoV7O7u4vnnn4fneXAcZ6V/YtT1mMS5rlJnryLu/uj3ftr90Rv+LPYXpT3W2Z99zQ76nrAO7Fknm82Gxsjt901643N52G+Qvy16I6xCerGGIb8/YX2nNvGHvezQ1yGMRCIR6eGaTCbhuq7xow2C5z9if9YAzPnRhuM5AMx9dRipVApbW1uRrylK08Xxro2j++LosTi1lVFjTdKbI4w4+lFR1r0njXMtt4m6j7eJc88uiXN/Tti7ptlsot/vG0+g4XCIfr+P4XBo9CHrwHu9numFOJvNQo/N7i0okf4+/H/Tce+gGCevkVzO3jF2Dib/OF/6lstjC3qNvu+v5XEZJz+AUIfH3ec6dfbSUykOq9Z7GvVYyumQHv3r5GzY666K4cjfzip4P7hKowQ9J2h/QdqCv/u4rOPrILWYvQ2p7wAYP4p1jmOd9yTsdTKHPIpV9yZnxWWKk9H/9zIQRxc/Leh9dxm4yj4r0+l0LY0WBGtTTstisVhbk4bBvoPrMJ/PjYbkH+t0GBuSNeGcptdkEDJ+aGu7RCKxNC7OPon2mDY1zzr6XuZqSp0oa8K5jOfwbDZr6nmYd8ljZn/CIHzfP7PPbTgcnon30rrf6zA97Pt+ZAwyLvQjXQd+N2SOLXMqwjSsPT9MjwPhr1tRlMvJae6Fznrb57n9TY7nrLd9mnXkeTdsfCJsO2HndtkHeROinneamMmmz5XXt3XiO4qiXD6izpmnPadv8vyw5wTNP+39sLIa3g8D4dcFOzbJe0LejwbFxBaLRWh8FYC5jw3KCeAyIj2AeW9sMx6PzRiNDZ9vxzp5/y/vl+2Y6GAwgO/7J+63E4kEZrPZ0v2oHKsCYHJ9gr7X/X7/TOI0TxPHcQLrS9m/Tc4PGpM7rZ5gzgPj4hwv4GfOOArrVYHlcQuO3cvPlzGWbDaL+XxutpdOp1EoFDCZTMz3hPGaVCp14nUwNsS+J91uF+12eylXrt/vm+cxh41e0qlUyngAuq6LxWJxYvw1KL8qLKes1WpdiHaT/UxIUC5IUI5sUA5GWK5JUD5HUF5uUN8UO0ZsjzEEHa+dW2znI4dtgzXf6/7t7++feM25XM7kPMpYphxT4jgzx9TZk2fV94H12+VyGaVSCYVCAcViEYVCAdVq1UwXi0XjFSTn0Z+SteCKcl2xc3Vk7qydMyOXyRzisGmpCcKmZR5PnOk4NTRxYO7bbDZDt9sNXe+ll17CO9/5zqWxUp6r5bWB52V5ruU4orwOBG1H5g1qX6yrh+/7+Nu//VscHR3hN37jN851X9PpFA8ePMDrr7+ON954Y+lxNBohnU7jhRdewO3bt/Hyyy+bx+/+7u+OlQOhKE+DxWKBo6Mj1Ot11Ot1HB0d4fDwcGnewcGBWVav10+MJ5ZKJdy4cQM7OzvY3t7G9vY2dnd3l/7f2trC9vY2dnZ2nkkfyG63iy996Ut49dVXce/ePfzbv/0bjo+P4bou7ty5g7t37+Lu3bv40Ic+hBdffHHj/fzar/0a/uqv/gof+9jH8Ku/+qt6DVNOxRe+8AXcvXs3dNmdO3ee8hEp14n5fI4/+ZM/we/+7u/i537u5/DHf/zHG2/r4OAAn//85/Haa6/htddew7/+67+i3W6jUCjgve99L1555RV88IMfxAc+8AFsb2+f4au4/Pi+j+PjY/NXr9dxfHxsrve81vN6f3R0hH6/v7SNXC5nruf29X5nZ+fENf9Ze4+Vy81lvmf7+Mc/jp2dHfzMz/yMeldeIhhHkzE4xs3kGImMh7GGTsb06FvDmjbgSRxPxr64bTkmI+Nu69bnhSHHNK7KtHKxXMTYchyPjLMmjm/FRTMej00NLM9LHJPr9/tL48P0ge52u0vz6Bcdlq/OsepSqbQ0Lkj/ZgDm/MW6jk6nY7yng74r2Wx2aRyQY3vSd4W5Hxyzpmc0zwPyHAoE1xTb50n7M7Xrlu3xl6DxiIv6XgTVZEXN42eaz+fN2CnrS+Q84HEMMJ1OnxhjDfOCsOtUcrkc0uk0xuOxmZ/NZs13hLku7CkzHo/R7XZxeHhoarm73a6pwyH8rrC3TCaTMWM0zKUYjUZm+6yzmc1mxvOcr485IjxG5pFwvuzfKGtTLrMHXC6XO1HbymnHcZZyVbhMjpdxvowRRvlVrLoe2/V6rHXisebzeaOBbOzv3nw+N+t5nme8QFmnzu1mMpkT14fFYoFer7eUw8Pn2uvZdT+cl8lkTtTZ8/wg/VQWiwXm87lZZufLy+ex5ksSVlN1ljVJlw1+JlF5RKxnW9c/IConnwR9HsrVJKxmYp176We5JiHu+3Qd3yNZqyv/6MMifVyok4K8Y3g9tq+P1LA2Qf4D8/k8MO9Z5lPbUB+H3Ztxe/K6SZjnRxjr4PsStM/xeAzf901erA311KrXPJvNIvOHJpNJ5L1fVC2x7/sn4tg2q3yCCHMfVzEYDCKvJ1HH8qxg5/KugnnUcUgmk2v5eqzjNRJ0jxRGIpHYyF8kmUye+P3z9xaXfD5/qhgy79PiYnsD8N5sU8JqMdbBfg+lRo9D2LktLjwnyxoT2b9A3lvM53PMZjNMp1MMh0OzDu8tgJM+l5xOJpMn5su6fzkt9xd2HGd1vytzx+3eDvxuhc2nZwWn5f0Cz8H2OnI7/Nz4PHs537Oz9Hw4q21dxfodZZlEIgHXdQM9ANcljt9pXOL4osblLL2ZNs213qTXyia9ATcZg9rkNW3ynE18qeL0PLDZ5PPexEvsMnmhKRfHZbwOnuX4T1S9S1zW8dMNw/d9dDqd2MczmUxCPxvG3iUcn4nDfD7HeDyO7RPHdcOQ2wnzyg2DY5t8bpx4RRQ8Bnq/rXMs9usMi42s6/3LfJO4hN0jBG1j3Ri7xuMvL0HxwCgtxVhAHM1FjbUqbiLv+0gqlTqhM1b1PAAexwdYdx8FfYGjPPptfZTL5U5omajYBvsOxo3BbNI7YF0tF6cvg80m9xrr6t84/bBsLpO/rXI+xNFpcXopRPUaBOL5YUTlbMbp3xSnB1IcTRmnD6OdXxWE7P+6ah2pmZifI2GfryD43o9Go5X7Ya7EZc/Z24So8QnmxYXpLNu73f7OB10nZe+mVXGryWQSGdeKiikzr0f9uOIj/c7s/iKMu2cyGbiua3LmHMcx/kWyt0icWFBcjREnThbHdz+u3oijY+LGT+Noj7iaJk5cUnWIoiiKolwOGEvnI++57Efer8n7Nt7j2Y9yPd/3A7e3TsxT9hgBYHqtUkfzPkBOx+1fJ/UkdSJ1JDUk63Zc10WpVEKtVjM+fbu7u6jVaqjVarh58yZu3LixVp6XoiiKoijKs8RwOMTh4SEGgwHq9ToGg4Hpe8xabtZvDwYD9Pt9U/sqY/HT6RSTyQTj8dj8z5oO5hCsowkldp+FoN5AQTF+G+bRZ7NZlEolU+e9u7uLYrEIx3FQrVZNLljYtD1vk3xARVEURVGUZ5FOp4PxeIyDgwMMBgM0Gg10u110Oh10Oh2jRSeTiXlkv2T2UJ5MJhgMBpjP56YHLvNKbd25Lqv6e8XRsez7RA8j13VRLBbheR7K5TK2trZQKpVMbNNxHNOvhNPsjVIul01vnVU+KYqiKIqiKEoww+EQx8fHaLfbaDQaaLfbpr8ha9LoC8i4JzXncDjEeDw2f/SLOet4pyTuNuhhyTgn45rUncViEbdu3TIaM268U2OciqIoiqIom8Ecz3q9jm63a8bcj4+PMRwO0Wg0MBqN0Gq1MB6P0W63MZlM0Ol0MJlMlrQn/RAmk4nx8WIN/ia6cxNYZ82+4+zpnM/nUSqVTI7m9vY2arWamc912IM5n88bz/d8Pq/5m4qiKIqiXEnYm0v26LLnrVp2FusDm/XuYp02a7zt3hKyP4Xd02STeCf9UaknWT/OXkCsB2Lt9dbWFnK5HEqlEqrVKhzHwc2bN+F5nun57HkeXnzxRe1rpyiKoijKtYb+tdKfNaiXLOdJ7y76l7GuR3p/sV6c24+zzrqwx5/0zye2zgSe1PxIzRlXe1LTUuPSy5F9PBjL9DwPmUwGlUoFjuOY3E3HcbC7uwvXdVGpVLC9vY18Po8XXngBnudhd3d37devKIqiKMqzh93Ph3qq0+kY/9Rer2d6y9ETaD6fo16vm/ibnG42m2a61WoZ7dTtds38fr9v5tMzn37xnA7r73RevulBvYXD4ninOZZEIgHHcUzftFQqFaj/tra2kE6nUSqVlvpBy77F9HJkvJKPjFnaj+rFqCiKoijKZUPqUTmmzJqY8XiMXq9nchIHg8FSTTb980ejkZmW3vzS71/2xeRzgCd9mYDH+o5xRbuP0Vn1Dw0jagx5k1xL+lzKvo2e5yGdTsN1XRNvLBQKKBaLyGazKJfLS3U51KHUldSd9B9nrxLq1E16qiiKoiiKolwU1J+TycTUyczncxwfH2M8HmM+n6PRaBj/H3oGAUCj0TC9nNrttpnudrtmHdlXajgcmmnW1iwWixP13bLWRnpQnmVc1Nae9ri4fIwLtaf0xGQclHFP1o3Tc4i1OdIDc51H7bGsKIqiKIqiKMplJeE/DQcFRVEURVEU5Urz6quv4vbt22qYek2wG+iyUS+LJVlI2ev1jKFwq9Vaap7Ggat+v4/ZbGYaVtC4bTabmYElDiRdJLIhLx/T6TQSicRSg14WTDqOg0wmg0wmY5Lomdwuk+hpOkwTODZio/lbpVIxyfb5fN4kMSmKoijKs8bnPvc53L59W5N2rxHUjkEacjqdGgMNNqLodrvGILjdbpsmvN1ud2l9Js7bTdDm8/m5FWquA3WlNHyjAQeTkZiQREMOmsA5jmOKM13XBQCjIZPJJLa2towWLZfLSCaT8DzPJL9TXyYSCRSLRdRqNZNIxfmKoiiKcl25d+8e3v3ud6uevISwqLLVamEymaDX6xlt12w2jUaU89gUlw0jmAAv16OuZCHlKqjLGPsj0mht3Rgl9R63DyDQQHhdHMcxmpEFlMVi0WhIxg63t7eNNszn8wCwZL4hp2nOYU/TzMOe5v7saZqBKIqiKMp15Mtf/jJGoxHu3Llz0YeiWAwGAxwcHKBer6PX62F/fx/9fh/NZhPNZtM0weXYNI3mut2uMepgPHE8HpsCSBrHrYNt4mbH2zbZJs0vpK6LKkKMs06cddW8TVEURVHOjm9961v4+te/jg996EMXfSiKhe/7ePjwIbrdLg4ODtBsNtHtdnF4eIjBYIBms4lOp4PhcIhWq4XRaITBYIBer2cM4jhOTT0pDTQ20ZS2UbA0xFh3e7apGnMWpcmvHENm3DGXy5nnxnkO44r2cxRFURRFORu++c1v4mtf+xr+3//7fxd9KM8k1H2tVgvD4dBMDwYDDAYDPHr0CPV6HYeHh2i32zg+Pkav18NgMECn08FkMsFkMsFwODQ1MudRHyNzEpPJJLLZLNLptNF22Wx2qQlYsVhELpdDrVaD4zioVqsolUqoVCoolUrY3t5GsVjEzZs3TYxSURRFUZSrierJi4MNI6gfGWfs9/sYDAbodrtoNpuo1+toNps4Pj5Go9EwddjMr6SJ8HlpSUJNyXrpVCplGouxAZjdIKxUKqFQKCw1figUCqhWq3BdFzs7O+Zxa2tLx6AVRVEU5Qry4MED3L9/Hx/4wAdMzply/jDG2Ov10G63MRgMTFNduazVaqHRaKDRaKDVapn6636/bxqfjcdj4+MTBzlOvQ6ydpp102zekMvlkMlk4DjO0ng0mzjkcjmUSiWUy2WUy2UUi0UUi0VUq1UUCgXs7OzA8zy88MILWgutKIqiKFeQe/fu4fbt26jVahd9KM8U9HkcDodoNpsrpznm3Ww2TU1Ov983TXWn0+lSnmQUQU3B1kH6PWYyGSSTSeO9w1zFTCZjmspWKhVTY+26LjzPQ7VaRS6Xw97eHjKZDPb29pDL5XDjxg2jMRVFURRFuV780z/9E1566SW84x3vuOhDeWZotVrY39/H4eEhWq2W0ZTtdhuNRgO9Xg+dTsfU5fR6PRPfnE6nZhyctd1xtaOs4w7SnnE9fRijLJVKSKfTxgNceoXTb6dcLiOdTqNcLpvxcrsum7U7fOR6fFQURTkPFosF2u32ynWYD78K3v+votlsrlxOr7hVMB9qFex/EQZ9jFfBuMgq2FcjjKf13vq+j1artXIbzEO7TkT51cl61jB4zV2F9M4LI6p3jqyXHQ6HePToEb7jO75jaZ04/ixRvs9x+4/EeW9IXF9Aapoo1umREtfnWvoeAk9+49SR+/v7+MY3voGHDx+i0WigXq/j6OjI5Fja+nI6nS75Bp127Fv6hTM26XkeXNdFoVBArVZDtVpF0Ts6ZAAAIABJREFUpVLBrVu38Pzzz2NnZwe7u7umHke1oLIO8/kcnU4n9vpR12dJ1LVPQk/XOHDMIQ5x9AKJcy2WRGkICXsixCGOfiG2NvB9P3Q/8/kcvV4Pi8Ui8j42zvdCbqPf7wduM+j9ofea8hh6Bwdhv3/2dW7T685lht7Hq2DdgY39XrLnRhTJZBKu6678LEgulzuxzVQqdWJeMpmMlfuYSqXM+GOcdaUW5XhmEOw1FwaPL5VKGd3wuc99Dj/wAz8Q+pxCoYBUKoVEIrHS2yWVSq1cXiwWzXdZ+kuvYh0/mbjbPAsYl5Q9EjudDtrtNjqdjsmvtOfRV6jb7Yb+htPpdKBnOc/h6/z+mV9JfSnrdVzXNf0LPc9DuVxGtVrF9vY2KpUKqtUqdnd3Ua1W8fzzzxtdqlx9qKfoY7UK9gxdtVzGTXi/FIfZbGbiD6PRKFIv9fv9lTrC932jjdhDKi5SM04mk5X7oZfDKnzfN5ouKpZjb1u+DxzTCGKxWMTSjexzwF5acZjP5yc+x1Xnnrj6FcC51yteVxKJROQ1btVnxJjDpqzbB8L+jE+zb3t8bl3i3out2v9ZPTfuvayiKMo6xBm7eNpIH/rz5ix7rcvrl8wpkR7/nueZ/6Wukb2lZPxNzrdjd3Ja7o/TyWRyqQeqvc5ZaSreg9rTrNUjcmwlmUwinU4v5V3L8bF0Or2kH1KplHkd9rr0kpD/2/uVeTvyOBhLymQyppZwHd0yHo/N+8hc8dPged6ptUOhUFgZM7Cxc+15/28TpkNkDG02m4Xe68zncwwGAziOg9FoFHlvsVgsYt2TsWYgiuFwGPmeLBaLWHrrrPcZ53Xa93qr9rnqvV11fxn3dV0m6FkYRCKRWHktYa2HDcduV9USOY4Teo8if0NBn5njOEvXBcbdgPD7LvqGB42PTyYT+L5/4rzJa4zcPvDkfp3nYfa6YU8cXjc4li29g2azGabT6YnvtYwfyrgkr0N8TYxPMlYhr3dxxp6eJvTAtOfZ53n27JawbkgSFPemR7o9r1QqnTieUql04vqwvb194ng8zzsxj3mikmw2e+L7yTp6CfML7GO0P6s446Ps/c7pde5vmce7jnbxfd/E4MloNDLfXxnn4vd7NpthPB6b2N1isVi6rvH3xufInvO2LpPHKuNzvu+b84xcX76ndjyPfQPOA8aLuP1EIrF0LpH9TAGY3zePL2x5Mpk074n87gaNW8j3LqjPAQBzrbR/B/L/ODHXq07c8a44uVdx8sRX5ZZF3UeFHcN8Pkc6nYbjOEsx5MVigcFggMViAc/zluLFcszA932z3eFwaD5zPqbTafNd4O9NfsfG47H53nE+j4PXKW7LPgdsCt9DeZ3PZDLm+55Kpcw1W95X8XXx9crfz3Q6xWKxONFzmOMk9u+I3tKXgaAYBD1e+HnxPCnP1byX8zwP+Xze/Hmeh5s3by5d/xKJRGDv76DcwHK5fEJ/BX1/g8aQg/I8g343QXmO6XQa//qv/4of//EfX/neXEdYI77u39HRUaC+zmQyRu/w/pSfM6/R1LVh90OZTMZ4B9GfUvpScpqeQpVKZWken1ssFgPvpxVlU4JyEdvttjk32nmNMv/fzvW38yXlduw6B5mHaW/HzjWU+Z32duwcxnXyRuMgz7nyXBs2HdT71J6W5+KwaamjwqalbrM1XKPRwHve8x4cHBwE3uOkUins7e3hK1/5iuZyK4H88z//Mz7ykY/gS1/6En7kR34En/70p89ku5PJBPfv38cbb7yB119/3Ty++eabRse/8MILuH37Nl5++eWlR/V4vLx8/vOfx/d93/dd9GGcC81mEw8fPjR6cX9/f+l/OS9IS7LHza1bt7C3t4dqtRr6/3PPPae+5Bvyf//3f7h37x5ee+01vPrqq/jiF7+IxWKBvb093L17F6+88go++MEP4v3vf3/s9/g973kP/ud//gfJZBIvv/wy/vIv/xLf+73fe86vRLnOvOtd78L//u//Ls17+9vfjq997WsXdETKdeA///M/8fM///N4/fXXsVgs8O53vxv//d//Heu5s9kMb775Jl599VVzDv3yl78M3/fx9re/HR/84AfNOfTOnTunyqt8VhmNRmg0GrF0RLPZxMHBwYmxMcdxInUE573tbW87dS7JZeQ6a83rwHQ6xYMHD5bu7/jIcbe9vb0T93d37tw5s3jEj/7oj+Izn/kM3vve9+KP/uiP8EM/9ENnsl3lejEcDnH79m18+9vfDhwDSKVSKJfL+MQnPoFKpWJilTJuue40sByrPM30aZBjT6lUailXxB5vkr4i9niSHNeyx3ClH4Y9fmbn6MoxMzumKcfEbM+QuH4fivI0oFcge+pxmn6CrVbL5CB1u11Tr8t1ut2uqfENy1FibazMN04mk0t5cczF63a7gdthXGrdv729vXPrcxLkYXFR8+T7f//+fbzzne8MfC+DPqenMe9pwPFv+XnbHkfrzAvKbUgmkyZ3p16v49Of/jReeOEFfOd3fieq1aoZc2Q+DfPbmBPGz20ymSCRSCzlADGnJZlMmhz1sOdwLJF5PrKedhNkvqzMqZX1DVyP7wOnmb/DGgzOZ24Pc1js+ga+Zvldlvvyfd/UPwflxZ31GOp5E7f2JsoXbbFYoFAonMjFkbUzAEyPKImd655OpwPzbWQeZzKZXHmvw++d67orz7XM14qq0WV+dljeJ18nXxvztuV+WN+ey+VO5KQG1QLJfdm53vzd8ZolfYCYYwc8yd+0j8WuYZL7ph+vXH6e+eB2jpj8LOz/Wa8ELOfeyTzZoOcAj3/fjuMsPV/msQWdR3h8fJ48VmqFVbCuKQjm9YexqSannmH+Zlzsuqw4sMaJuZNhxxNEkB+PTRw/0iD4e2MtA2tq+D+9Ae1+zLIWQnq4bAp/f7ZnNa8p9jJeN/lb57Q8nqj98Hfh+/7SfP6FncPCvMHk+rJeZlUO/HXzu1KUp0Xc8/A6v7FNf49h3iR2Xcq6z19n/5uef2WusXK9kDoQCPZ6OW2MJe7v8LRjuXat5lkgc+2jiKrPPSuPvjj3Wetsax2PgKA6ThJHh9qwFob1MLIul34ErG/gelxua8x1z5G2ZrTjG3yU+jWsZjGVSiGTyZhezvY035ugZZpPepLhcIjj42M8//zzF30oT5XLFvda1yf6aRDUr+Ii9RGAU9cgnoW3sf183psrynVnHc0X5AWw6rl2HHPVdunntM6x2FpulY6y/aBWEeVLbWP7rcj5QfpdxoDjHEucfi6r9kcYR3YcJ/JzSSQScF13KU7Z7/fR6XQwGAwwm80wGAxMfyPW0HLMejKZYDweL9VtrxvLDIodEnuMIOjYS6USSqUSKpWKqcuVNbmlUmlp3q1bt1CtVo2vtRKfv/iLv8Av/MIvnFtegbKauH254uQhyNrfMOL0NYnS5HH6jVFHr9KI8/l8SdfafjrAsm+4vX2ORU6n00gtOhgMIn3aeO6TYxVB60iNGaSjV3m9Sd+i6xhfjNvnguebsO9r0DXfHkdfpWNWXWeeVYJiWWHvn+u6sWOLuVwulu6K2882Ts+3OLmncXvcxenvF9evKch/xiaOR26Y541NUK6XTdxcnbh9/mzYO+/w8BCPHj3C0dERHj58iLfeegutVsvU3vR6PfT7fXMu5nlSjq+fRa89OzbJfsye56FQKGB3dxdbW1vY2trC3t4eXnrpJdy8eXNJWz6t/jLPIp/61KfwyiuvYHd396IPRVEURVGUM4BxCj6yvsN+ZH5mp9PBbDZDq9Uyy+lpRr+ydruN2WyGdrttvNHi9GcnvIeRuY1B+ZJxtyU1Jsez2cfZcRwTm/Q8z8QlK5UKdnZ2UKlUsL29jVu3bqFUKmm88inxta99Dd/4xjfwwz/8wxd9KIqiKIqinBH1eh3dbhf1et3EIsfjMQ4ODjCdTnF4eGi0JPvhUl/2ej0zzjSfz00Pe5mredrYpCTONmQvlkKhYPp6VKtVuK6LcrmMnZ0d1Go1M58x8bDpra0t9Th8yvzd3/0dfuqnfkrfd0VRFEW5RrRaLfT7fRweHqLX66HZbBpPoXa7bfyERqMR2u02JpMJut2uyZ8fj8fmbzabmZ4/ZzEmvg7MwaWvkeM4KBQKyOfzKBaLJo5ZLpfx3HPPmZhnpVKB4zhwXddoU+Zw6jj6xfDVr34VrVZLvToVRVEU5RrSaDTQbrfRaDTQ6/VwfHxs/MzpeT4ej43+7Pf7ZmydtT+s/5F16HbNz3loT9aB0ecql8sZz0PZs297exs7OzvY3d01ffqkxiwUCmbsfdP8VeX09Ho9/Mu//At+4id+4qIPRVEURVGUc4Bj6Pv7+xgOh6jX62i328ZPvdPpoN/vm/X6/b7J92y1WphMJkuak57K1J3A+WhO1vun02kznp7NZlEqlYyv++7uLkqlEmq1Gvb29rC1tWVioMVi0dQSlUol069cuTj+4R/+AT/4gz+40qdLURRFUZSzgfU99A4aj8fGX4ieHvQR4brMt7TXlX4i9rqMV3Jd1hati/RNl9py3fofIuvN6ZMgPS5d14XjOEv9gmq1molvlstluK6LGzduwHVdk8tZKpXw/PPPaxzzEnP//n20223tR60oiqIoTwmOXcv6b3veWa9Dv8zFYoF+v7+2b7LtrU420ZzAk3p2jp+nUink83lTi+55ntGZ2WwW5XLZ5HLu7u7CcRxsb28bb81bt27B8zzcunVrreNRnh69Xg9f/OIX8f73v1977iqKoijXHpmr2Gq1MBqNMB6P0W63Tdyx0+mYXjqsrZlOp+h2u6YnL2u86X/O+prBYGDGnYfDofGYHY1GpvaGnsB2LXjcnobrEOR7uu62WcvD3Eo+crybeZaO46BcLsNxHFQqFeTzeVPnQ19Rz/OM9ykf6SdqPyrXj8PDQ7z11lu4c+fORR+KoiiKojw17F4XzWbT9IdrtVpmrJs138Dj3ub9fh++7xu/88VigW63i/F4DADG03KxWKDX68H3fTPeLfWn7D/OXoyyLpzHeBmgh342m0UymUQulzOxSfZmSqVSKJVKyOVyxseIPkXMwyyXy0ajuq57QodSb3JbyvViNpvh3r17+PCHP3zRh6IoiqIoF47MrRwOhzg4OADwWHtKj3SOWdNbnbpzPB6j1+st5Veydxrjn6z/Zi9yxk9lv7XzrtNZF3oMZbNZJBKJpZhnNpuF4zjGRzOTyaBYLC7VjLPXJDUo+0bJHkzsScX+Tlprfv3493//d9y+fVvvKRRFURRFUZQzIeFfhrslRVEURVEU5dLR6/XwK7/yK/j7v/97TCYT/OM//iN+7Md+7KIP61oji/5ooMt57XYbx8fHaDQaODg4MMk+vV7PJPjIZg7D4dAMnMik8fl8/lReiyw4ZLFgKpUyjWulYQWbPjiOg0wmA8/zkE6nTYOHdDptTCwKhYIxuSgUCigWiyaZJ5fLmYGUra0tZDIZHSRRFEVRlAtE9eTThQZnTLKRyTmTyQT9fh/7+/vo9Xp49OgRRqMRjo6OMB6P0Wq1zPNHo5ExTJNNwZgI/rT0JLCsKfknNSUfHcdBMplEPp9HMpk0zcGYAM55TOhmgo3neSgWi8jlcqZRbblcNtp0d3cX+XzeaEtFURRFUZ4u3W4Xv/zLv4xPfvKTqidPCbVeq9XCcDg004PBwCRxNxoNdLtdNBoN02BhMBgYEwyuO51OjaHFZDKJ3PdZmE1sChO0k8kkXNc1BYO5XG4pAbtUKpkk7mKxiGw2a0wnWBgIwCRms2gQAKrVKgAgn8/DcZylhG4aXGgRoaIoiqJcDOPxGH/wB3+Aj3/84+h2u7hz5w6+8IUvXPRhXUmOjo7QbDaxv7+Pw8NDdDodHB8fo16vo9frodvt4uDgAKPRyIxhTyaTpTFrxhlP2wTWNryNsz71n+d5RpsxTui6LiqVijGAsI3JqAf5SC3I5dSVwBO9yPUVRVEURbn6/Nmf/Rk++tGP4vDwEO985ztx//79iz6kK8discCDBw+M6dmDBw/Q6/VMPiRjkM1mE8PhMHDsWuZBctyaf+cN9SRNyKgbs9ksKpWKMRvj/CDDB8Ya2cSLmpLPkZrSfo6iKIqiKFebP/3TP8Xv/d7v4ejoSPVkTOyaGurI4+NjfPOb38Tx8THa7TYODw/NGDbHtNnogUZk/DvrRgsydzGTyZhGCblcDvl83pjSFotFUwezu7uLYrFoDMSKxSJeeOEFVCoV3Lp1C7lc7kyOUVEURVGU64XUk+9617vw1a9+9aIP6VLT6/UwGAxM/JF6sdVq4ejoCAcHB6jX6zg6OjLj2oxLsiab8ciz1pLAk7qYZDKJZDJpmrOyptpxHOTzedOINa6efO6553R8WlEURVGUQP7mb/4Gv/M7v4OHDx8ikUjg/v37eMc73nHRh3UpYW12t9s1tTSDwcDEKA8ODnB4eIhms2nyJjudDvr9volNjkYj01D2rOuwZY11Op02nj3Soyefzxsdmc1mUa1WTY1MpVIxj5VKBaVSCdVqFbVaDbVaTetdFEVRFEUJ5SMf+Qj+/M//HIPBAJ/85Cfx0z/90xd9SJcSNomVMcpWq4V+v290ZqPRQL1ex8HBAZrNpll/OByi0+mY2CQbv56Xt4+MUaZSKTPuzfHubDZramZc1zU+kJ7nGX9Hx3GwtbWFfD6PWq2GYrGImzdvolaroVqtarxSURRFUZS1mM/n+PVf/3X81f9n782DZKvL+/93792nT+/b9MzchYsXAveyCeICfq9WLDEmmFhWpRCsKGKwXFBUFNC4hRAJKIooClEwRoJWRYtILIWkLLQgoCyiwBUKuFdm7sz0vp7et98f/J4Pp8+c7j7d07Pd+7yquqaXs3z6zOlzns+zvJ/vfQ+1Wg3XXXcdrrzyys0e1pajXC6jXC4jlUqJ2HculxM65eTbzGazQqe8UqmIupxmsykau3a73XWtx7FYLELDx263w+v1ChuSfJbq+LjNZhN1OT6fT9Rzk44P1dcEAgFRI67W/WEYhmGYowXSkh5GoVAYeh9XN5AfBNVsDKNUKg31T3U6HZRKpaHboLqQYZTLZdF0Xg/yuw2D9LaHUalUsLCwgOeeew6NRgNOpxPnnntu3zKjjm2r1YKiKEP3U61W0Wg0hi4DGPsfHMtQbJyeU48btSY55WCSLhDpRdLnWsj+HMU4epGkMTQKqi0fBekYGYG0L0dB9vYojNrX6nr4URjtD0R2/yioJp9hmLVh5P5MGLn3Ed1uF8Vi0fA4Rt131YyyF9QYvRcDL2s0G0FtYzUajaFj73a7SKfTQ7dH/T6Al2ogSI9PDdUzqKH8NPUyeusSzWbTkM2hd3xJM1A7biPorTsI7bHs9XqG12W2FmobTs2g34taS3KjNMrVeZjaB9mc6v436lxN6quoZ9+YzeaRNhfZO3a7Xfc4aaE4PvCSPTlsHdJC14P69gAQNrMRKE9g1Pey2WyGtklan0bsZ8pfMIJaM37aGLW5x2W9NErX81gwRxdGfC1qjPirCCN+KTXj2pBaxrFt9Rjl/xrGdh67Eb/eMNbq1yoWi4btSi3beezM5JCej1p3cthjVCx8mF01qUY6/SU7Um1Xav2Z9B7ZZtTLe5SdZNQnNwkej2eVnWuz2QzZraMw6hudhM3KGVjP72SERqPRdy2iXkuTYtQ3YgQ696dFq9UybIfo4XA4xJym1+uNjCWpoT5clUoF3W5X+Cq63W6f70n9vNlsis+bzaa4prRarb7ndA9X+0DU2hbqMahfq/0l3W6379ho885H+YzWgsVi6Tvn1NcPugbSvum19nP1a/X41eeP9rzWfqY+Bnq/Ae17JpMJrVbLsO9wO2M2mw3Fm+x2+9DrGd1bqc/bqH0amZPa7XZDc2K3221on0buAw6HQ+yT9KzVOJ1OoftMPVTU+yCfjvr3q1631+vpnldWq1X0gdbSaDR0Y5qtVgutVkvYDUS32+2bP6j9NdVqVdeGof7Tal808NK8Te/a2uv1Vs1RSI+n2+3CarUKnW3teLV0Op0t+Vsj+wx4+fym53Rd0TuWWh8ivadGvS3tY1y0ukTa2h/SKSKtIvLPaf2ZDodj1Xk06FzVe2+YfbHWuZmatc6v12tb4/pPmJcZJ++BmMRnqvbfaq/P2mt9p9MRc0vt571eb9Vr2p7D4YDJZBoam6NrLfn+tfcS9Wuz2Sz6KhBaP0W9Xu/7/a3Ff2QEl8u1Kr6j9vvTtcxkMun+X+maQ9D1ivJz1PcJirGQVgbls+vZIxT3UP9vaf5M79F9Vn3u0D3OarWuiqt2u13xPWl+0Ov1xLVde79Uj53+b7Qs1X7StrTnBI1R/b66Rxutt5WhHr1A/33PZDLB7Xavmv+RbUb3IlqW4mt69t2g64W6v4eWQblIg+bqg2Inw/Kf6vU67rrrLtx7773inPv85z+P8847TzduNignTS8fipbN5/M4dOiQ7uPw4cPi/AgEAtizZ4/uY9euXYbysrY6S0tL+MhHPoKf/vSncDqdY8UYthrtdhvZbFbU99Bz6u2o9zqfz+va1NTHRn3tJNue8kAG5VXQeeZ0OhEIBFY9hn1Gn1OfHGZzGGTXDrLD9eJzeu9p86/0llEUZdU9cNQyeuMysow2Bqn3vceJU46L9j6kzrXV3ie013p17rB2O2rbVntP0/q01fc1bX6s9t6mtn/Vn222v3qtdLtdvOUtb8H9998/NF/MarXi8ssvxw033LCBo2O2Ok899RSuuOIK3HvvvbBarWi324jH41heXh5rO81mE8899xwOHjyIp59+Wvx99tlnxXxyx44dOPnkk7Fv376+v0ZqE5jNp9Pp4O6778Z1112HRx99FPV6fctfO5vNptBOX1lZEc/Vuur0SCaTq+6hVqsV4XBYPGKxGCKRiHgdjUYRjUb7ljka5hfbkXK5jN///vd48MEH8cADD+Chhx5CNpuFzWbDqaeeinPOOQdnnnkm/t//+3/YvXv3qvWr1Sq8Xq/wRVitVnQ6HVx00UW46aabEAwGN/gbMUcDX/ziF3HttdcK+8xut+Mzn/kMPve5z23yyJjtSLFYxOc+9zl84xvfgMViEeeVxWJBsVjU9d0lEgk88sgjeOyxx/Dggw/i//7v/1CtVuHxeHDqqafi3HPPxTnnnIPXve51CIVCG/2VGLzk+ydbZJB9kk6n+97T5rAEg0FEIhFho0QiEWGf0HOyYSKRyJbv5Uw162eddRauuuoq/M3f/A3bV9uEdruNhYWFvvngwYMHcfDgQRGni8fjq+aDp59++tgx0dnZWaysrMBisaDT6eDNb34zvvKVr2D//v3r8dWYbcoVV1yBm266aWgtrc1mw2tf+1r88pe/3HLXmnw+P/Fzdb2xVjtE7d/W+pu19cTqbWrrh9U1GFr/93r5o9W+Xa2PmPTUCL34qZFltDHUaS2jF2s1soxR/Q1me6HXV1r9GPYZfT5MV4Dy3Ww2mzjHKH+70WjoxhDsdjv8fj+CwSCi0ShCoRBCoRAikQhCoRCCwaB4T/16q107x8Hj8aBer+P888/HzTffjLm5uc0ekm59m957evVY9J6iKFhZWcHKygoOHz6MRCIhegKlUilx3kiSJOYQHo9H9NcJBoPw+/0ol8sD9zHqPfW9J5VK4Q9/+IOImYdCIcTj8b4cpWG5iup70aj9bjZaXzkda7r3aHNj1bn/9H6n0xF6AdPS0aecWPVzquNXx2nVubQWiwXdble8r86vpfxgyqsljVSr1SrywEm7CujPH6/VakLbis4JdU1/q9US1zAalzq/qNVqod1u99krvV5vVd5gt9tFLpdbdQy1dSOU86auVyEoT77RaPRtR8/GoZoXNXq5lFQjo6cHQueButZGO3b1c+3nWz1/biOgvEy92he958BL9tg4fhKjemvEJNpe4+YZGdVCI8atHxxHG41Yiw2rtdknZVr5H9Oqt5yWzpuiKLDZbLq9AKlnSy6XQ6FQQC6XE/1daHnqKU2PcaFrPl2fKXeO6ozo/041fq1WC7Vara+WRg3l3c3OziIej6/KvdO+H4vFpmJ/jtJvGGZnDKur18vpuuSSS7CwsACfz4eLLroIb3jDG6ayXTXDNBK223bXqhexFTF6HTVy/TOqgWNE28fIddLotcuINqaRe+iwnHc16nuftmZaW/NAMTHgpXNT7dvS1sZSLjHpFSiKImysTqfT51+j/lcE9Vcl1POpbrfbd82hvGW6ZlYqlb55eqlUWpe5jsVi6fNfUV414Xa7xTmoXVb9v1NryqptL7fbLc4DSZLEc4fDIY6NuhZWXYtLPWPpOe3PaL0rMJ5O4loYR+dxUsbVGZqUzdRvNqJ3vZ2ZZq3oeuV9q1FrMjQaDdRqNVFPTb5EmiPTc6rv63Q6a6r/HTR/G6WjSLV06vpfrbah3nuk+aLnd3G5XIZtTe2cf1y0deprXT+Xy2FpaUncS+fn54euv9XGPy7q8RvRFtLb/1p0WUeNf5B2qHr9tfy217o+s3acTufYc1OqHzUC+UeN6g2pba9RjGNfAS99V7XfaZQ+7Di+D0mSxlpelmXd76mnBUs+6HHG4na7DfmSjM5biHH9ieP41SbRH2CYjaZWqyGdTmNpaQnZbBaFQkH0ByyVSiiXyygUCigUCqhWq6jVamJ+R7oHZIManSur9WwAjLRVrVYrJEmC1+uFz+eD2+2Gz+dDLBZDIBCAJEnw+Xzw+/3w+/2iBzX1DPR6vQOv8YlEwtB9u9VqrdKs0/oiiFqtZsiWqlarhrVitFpOenpJAHDbbbcBeCnee+655w68BpH/2eick3o/0r6HHbNRvkM6V7S+mmFQX4RR8dlR+v7qGOA45yzbdscOelr3g64fFH83YhNaLJaRfmP13Ekvnkrb0e7L5XL12VqDelYBL9tg6jyEYYwTEx0n7jeujTTOOMbRchp3HONo9o8zDtbWZ45WyG4iEvE1AAAgAElEQVRMJpMiPr64uIilpSUUCgWhQ6MoChRFEbFyiitR/g7dvyf1+6v1DGl+Sr1APB4PfD4fZFmGLMuIx+PYsWOHqPHZvXu3sCmj0eiWr/HZKHbt2oWFhQXE43F85StfwTvf+c7NHhLDMAzDMNsI0mgrFApot9solUoiP4H8jlRTl8/nRWyf6uWoFo7ey2QyqNfrKJfLaDQawm85rRx/PdTa2er8fafTCbfbLezLYDAIn88Hj8eDQCAg6nxI/yYWi0GWZe5PrMP111+PK6+8Ek6nExdffDFuvvnmbV0XxTAMwzDMxrOysoJKpYJ0Og1FUVAoFET8O51Oo1aroVgsotFoCNuyUqmg0WigXq9DURQRoyVNbHU+5qgegZNCfQ6oXpTqpZxOp7Ar1XXGO3fuhNfrFTFzj8cDt9sNSZIQCATWrW/w0QL1izj55JNxxx134FWvetVmD4lhGIZhmG1Eo9FALpdDPp9HoVBAPp9HqVQStmepVIKiKCiVSqjX6ygWi6I2l/yk9JfyMKmOYi39/0ah9mtSbibVoJOOjc/nQyAQQCQSQTwe7+vvou73wr1dRvP+978ft912G2RZxoc+9CH88z//M2uUMQzDMAwzNpRjubCwgEqlgmw2K/ydyWRS6BkpioJ6vY5cLidyOKkenTQ+qM+oWhttWnYnxdLVGnkOh0PYm16vty+eThpFkUgE8/PzkGUZkiSJuiCqI2KG88QTT+CMM86A2WzGG9/4Rnz/+9/H7OzsZg+LYRiGYZhtSC6XQ7FYRKFQwMLCgtDQJHs0lUqJPE6Kq2ezWVGrTLXVpEc8jZogLVSbrtYsstlscDqdwu6UZRlerxdutxuRSET4PHfv3o1du3bB7Xb3+TiNaPMxL9W8VioVHHfccbj55pvxl3/5l5s9JIZhGIZh1hHS/KYaHrL3KM7d6/VQKBTGXjaVSqHVaiGfz/fFzGu1GrrdrtCWWW/Uukekz6GOo5OGB/ksJUlCMBgU/kvydUajUZHTGY/HhRYSMxmXXHIJbr/9dsiyjMsuuwz/9E//xPF1hmEYhjnKIRuSasjVevFaO5Nq0Af9peXK5bJ4kB+TbE61bvtGoLU7ya9J2nWSJMFut4uaIKfTiXA4DJ/PB0mSEA6HEQqF4PV6EY1GEY/H4ff7EY1GN2T8RyOPPfaYqB165StfiVtvvRVnnnnmJo+KYRiGYRjyFVYqFeRyOTSbTaGDXqlUUCqV0Gq1RH1OrVZDuVxGp9PpqwevVCrodDrC9iN/JT2nHEqq22m326JmfNr5lONisVhEbx/yV1osFtGDmHyW1KOB9DGDwSBcLpfwVc7MzIjlSCOYeu0FAoGp9edkhvP1r38dH/3oRyHLMj74wQ/i2muvZR1ThmEYhtlC5PN5AC9ppxcKBTQaDSSTSWE/kv2ZyWREDTj1sCX9zGazKexORVFED8lmsyl651LtDtWPU08WdV7lRtuflCtJvTWot7na7nQ4HHC5XJBlWdSRk83pdDqxY8cOURc0zPZk1pdEIoHZ2VmYTCYcOHAA3//+90f2w2QYhmEYZnOgnvT1eh2FQkH8JS110mZvNBqibw/FuVutFiqVCmq1Wl8fH3per9fRaDTQ6XSEVib5QanHn1Y3c6NsUPJ3qmPlpOFOOu6k5U4Pj8cDr9crelDG43Ghv0l6R+q/XA+0/szPz2NpaQm7d+/G17/+dZx//vmbPSSGYRiGYRhmG2PqbVZWBsMwDMMwDLMlue+++/DBD34QL7zwQt/7P/rRj/C3f/u3mzSqzYGSqSmooCgKEokEUqkUcrmcaISgKAry+bxoeNBqtVAul0XQgAIJJDqrFp5dr0QVdQEdNXal4IC68ZbdbheJKW63Gy6XSzTYIlEHEg3zer1wOBwIhUKQJKmvWVcoFOKGCAzDMAzDAAD+53/+Bx/4wAfYnvz/KRaLaLfbKBaLaDabSKfTWFlZQalUwsrKCqrVKlKplEigrtVqIimFGhhQIjQJMmgTUDbSnjSbzbDb7bBYLHA6nUKcwWazQZZlYVeqm7Z6PB5YLBaEQiFYLBb4fD7IsgybzYZoNAqz2YxIJCIEaV0u19S/D8MwDMMw24dj2T9JArHVahXVahWlUgnJZBKKoiCVSqFYLKJUKiGdTouGBfV6Hfl8XtiOZD+qm2BtdEoACTM4HA5YLBa4XC5YLBZIkgSLxQJZloW4gt1uh8fjEQ20SOzL7XbD5/PBYrGI5lhkQ5LtCUAkLTscDkiSBADcvJVhGIZhjnGeeuopXHrppXj44Yf77KA9e/assjGPNur1OlZWVpBMJkU8+8iRI8jlcigUCshkMiiVSqhWqygWi32is81mU/ge1bHsaUN+RrX4KxWzOZ1OeDweIQLr8/ng9Xp1i9eG/aWCN3rNMAzDMAwzDplMBhdffDF+/vOf94nlx2IxJBKJTRzZ+tNoNJDL5fDiiy8imUyiVCphaWkJqVQK+XwehUIB+XxexLPL5TKazaawKdW25HrZk2pxLvILkkACCSOQMJfH40EkEoEsy+JzanZls9mEIBf5GH0+H8xmM/x+v/jLMAzDMAwzLplMBu9+97tx77339tmTMzMzWFlZ2cSRTZ9CoSCaFyiKgqWlJSQSCaysrGBpaQnZbBblchnFYhGKoqBarQpRLnV9zbTqatT5jiSuRT5IsgOdTidkWYYsy/B4PIhGo8IfGQ6HIcsyIpGIqJXZuXMn3G73lI4YwzAMwzDMaAbZk/F4HMvLy5s4sulSLpeFuGupVEI+n8fCwgKSySQSiYSId5dKJbEs2ZLki5x2bNtsNouGpmRTUnMASZJEHXYoFBI1M9QgIBwOw+v1QpZlzM7OCrsyGo2yPckwDMMwzIaSyWTw4Q9/GD/5yU/QarX6Pnv88cdxxhlnbNLIpkutVkM+nxc6P4lEAouLi0gkEshms8hms0in00IvqFwuC+0f+tvtdvv8k2uF/JPqRqfkn6Q4tsPhQDgchiRJkGVZ5DqGQiH4/X7IsiyE/0OhEGZnZ+FwOKZwxBiGYRiGYYzzzDPP4KKLLsLvfve7Pjvpq1/9Ki6//PJNHNn0qNfrqFarfTHvUqmE559/HplMBrlcDqlUSjSvKpfLou670WiI5qlqLclpoI55U90N+SmdTqdoREr6kB6PBy6XC8FgUPgnI5EIJElCNBoV+pA7d+7k5lEMwzAMw2w5nnzySbzrXe/Ck08+2Wd3fvSjH8XXvva1TRzZ9KjValheXhbxb8qxJJsznU4jn8+jVCoJG1WtGTRtexN4ucbb6XTCZrP1aZFTg1Kv14u5uTlIkiQ0yW02G3w+H+x2u1ieasKtViv8fr+oz2EYhmEYhtkq1Ot1vOc971kVP49EIkilUps4MmO0222Uy+VV73e7XZRKJZRKJdE355lnnsHy8jIymYzQpyS/JmlTkq75WvvjaLXKKd/SbrfDbrfDZrPB5XL19bwJBoPChvR6vQgGg5BlWddvWa/XUavVRo6j0+mgVCoZGnOxWDRkV5MPeBTUv8gI+Xze0HKKoqzK89Cj0WigWq2OXK7b7aJYLBra99GGUR1S0h0YBc2DRmEymQxrE9BcahRGdfrVeq2jID2FUUiSNFbOyjhjWMt+gPGOtZpJ+x4YPWZqjJ43DMNMF6P3XT2M2gt63H777fjmN7+JQqHQ9/6jjz6qu3y32xW2RLVaHWoD1Go1tNtt3c+oxoa2acSGovXoAbykhU66QfRoNpuo1+tCs1JtV1LPHLXm+TT1hfT641Ctj/o9qiO3WCzo9XriNeVwam1NGreR/3Ov1+s77tQXSI9Ruu/qY2T0HFNvc9Sxnab/mGH0GKTlOqn2v9561MNg2Drj2mO0ntFxUswEgLjOjAtdr8aFrm8mk2ksm5p02KaN0fnKZjDJ/IExxiTzHsY43W4XzWZz4vVbrRbS6TR++ctfIpvN9n128skn49RTTx26/lr23e12DfmsBqGuCSf/JNWHU29vtQaRutZnkB1E175xbVBaT+vb1PZk1NqblMep/VzNWo7RIOg4DbNF14rRHkbdbnfgvGTYOusx7l6vh1artW7HhPqBDvpsku1tdJ8ohmEYhtFis9n6bCE96H3qk639TM8/MGpb6tdut3vgPN3I++Rbo7/q+nDta9Ii0t6D1X5HNVo/3CR2JvkEyI6kh81m6/tLGupkf9psNuHj1PONTLOn9zS3pe4RuZW2Nc343Fq2NcmxJm18I3Q6HTQaDdG7cxC9Xq8v58TpdA6Mj2vjG4TH4+n7zRiNpZTLZUNzCOqVNYparSZiGsMwmk9hNOfDaF7KsPjUoNwfYlSOjDqXRHvs6X+8Xecck87vtxJa3zV9J/Ldqn8/dM1Xv282myFJUl9cDICoJaXrgtpfS7WletjtdkiSBJvN1vc+7RuA0Dyh7WqXHXUNG3XdVvcW1oP6FhvFaG4PMe41mMazuLiIG264Ad/+9rcBvOzrsdvt+Od//md84hOfMLzNfD6PQ4cOYXl5GSsrKzh06JB4HDx4UPzmHQ4H5ubmsGfPnlWPE088ceR1fjvzv//7v7jiiivw+9//XrxntVrXxcc2CZVKBdlsFrlcDplMBplMRrxOpVJIJBJIpVLIZDLI5/MoFou69x+1TxF46b4y6L5nMplEn0bq1Uh/qc6Han20n/l8PkiSJPY3DkbusUbu64VCYej13EguY7PZRKVSGbqMkfEOy8Mc9F1KpZKuT3CQ7TPo/UHHQc9WoJ71m4Ve/p1en89AIDD2MnrXYiPLaPM+9e452mXUcU2z2QyfzzdwrNzffuvxhS98Addcc42hOYbZbMZDDz2Es88+ewNGxmxllpaW8MUvfhHf/e53YTab+67rJpMJxWJR195sNpt47rnncPDgQTz99NPi77PPPotOpwObzYYdO3bg5JNPxr59+8Tfffv2cQ/kbUqlUsEdd9yBG264AYuLizCZTOh2u1hYWMCOHTs2dCy9Xg+ZTAbpdBrpdBrJZBKpVEq8TiQS4jn1h1RDupWRSASxWAzhcFg8otEootGoeB2JRBAKhTb0+zHT5dChQ3jggQfw2GOP4cEHH8Tvfvc7dLtdxONxnHnmmTj33HNxzjnn4KyzzsJvfvMbvOENb1i1DavVCp/PhxtvvBF/93d/t/FfgtnWPP/889i7d2/fe88++yxOOOGETRoRs1255557cOmllyKTyejOxX/1q1/hda97HZ599lk8+OCD4tp38OBBAMCePXtwzjnniGvfGWecwfmN2xS1LUS+tmQyKZ5nMhmkUinhb0un06t8O2Tn0GNmZka8NzMz0/dZOBze8O+4uLiInTt3Cr/D/Pw8PvWpT+Hiiy/m2sJtSrvdxsLCQt/88eDBg/jjH/8ofMHxeLxv/njyySfjtNNO052TKooCr9fb5zu0Wq3odDp4xzvegRtuuAG7d+/eqK/HbFF++9vf4rWvfa1hX9lnP/tZfOELX1j/gR2DaP332pi+OkagzT3QxvfVsRFtjEMbU9DLHdD6CIwsoxdLMbLMejEo/0YbNwBW+/mJQTHmQdseFDMeVI8ky/KquDkwOJdHL94wSvfASC2UkVouveOmZlKth42g1WqhVCqhWCwKzUV6FItF8Zzir+rPC4WCWE4Pk8nUlxdBOYR68T+32w2/349AIIBQKIRoNCpsylAohFAohHA4LJ6HQqGp5batFZvN1je/Ou200/DlL38Zb3rTmzZxVOtLs9nEkSNH+vIu6PHcc8+JvC7y8avzLuLxOGZnZ8Vro3z5y1/GZz7zGRHbt9ls6Ha7eOc734kvfOELOP7446f6HQfFtwdpHw3KNRsUb6c+8lpIt4q09dWol6caMBqr1lah3Dj1Nqg+v9FoCE0CotPpiNoyqmfSy/+l7dD76jp9da4v7Vcbpz8W6+718qPV+c1qKNdZu676Pbo3kmaDOrfNYrFAkqS+bauvw3a7vS/3DXgp1kHLu1wuuFyuvtx2undTnqv62ku6uZ1OR+iaqeN3VBtOemeDckPdbrf4juVyue88MZlMq3K1tBogTqdz6L16UO7JIMa1yUblouoxrvaKUe0zwqhGHDGOVhwxrgaM0bxkwki+0iDG/f7M9sZIzpFe3hhdX9W1yfRcrY1DryfpIzNN7YUnn3yy7zdkMpkQDAYH+q42U5Ni1PxoIxg0jwVe1nEahhGtS7V9NAijOgDNZnNk3v6guZQaI98NQJ9egBZ6T127rvc9ablWqyXONb16MbJB1dvQq+0eVCuvXU5b16+3PyM1aNu5TmIzGPdaRv1hx0FdY7le+5gknxt4+TyfVp6rke9qVANlWtd6ui+SrshatzVu/LharQ68X0/ruGu31W63p2ozGh3nKE1DhhmXcWu7hq2fy+VW1VHY7XZEo9GB+5jm/nn9jV9/UByG19+Y9Y8VxukTsBEYrbHfCCbxK07CJL4/o6znd1iLf3AQtVoNvV6vT+/Z6FiM+phrtRqq1arh86zRaBjWmDPq6x7lQ+h2u+L7G/XZqv0IzWZzqE9kmCaf1ndh9LiSz8GI3t+gselp17EPYeszjoawdt43TLfYyHyT7CyjvgT1/kjXaBCkazEIis9RzoURyI9ts9lG2oh2u33g/ikuN+o7aJchDQ4tpOmkxmw29+XQ2O32ofsaR/NnHD2LcXN5xhmHXr33tMbBMAzDbG1oLpNIJJBIJER/7CNHjqBQKKBQKCCdTqNYLIre2NVqdWBvmUk0F+mhtg0od0eWZfh8PgQCAfj9fkSjUczPz2PXrl2YmZnB7Ows/H7/ttfCj0ajSKfT4rXNZsM73vEO3HHHHaxNwDAMwzDMlqJYLKLdbqNYLIqYCuUxU+5woVBAq9VCuVxGpVJBrVYTNmWhUECxWESlUkGlUhE1AtR7Zpq5++r+MRaLBXa7XfiEnE4nZFkW9UDquqDZ2VkEg0EEAgHE43GEw+E1xTi3Cpdffjluuukm8dpkMuGUU07BD37wA5xyyimbODKGYRiGYZh+Wq0WMpmMqCFPJpNQFAW5XA7VahWFQgG5XA61Wg3FYhHlchmKoqBSqaDRaAj7lPoWUtxeXWu6VsjWVPchJJ1+qnf0er0IBoNCB3znzp0IhUKYm5tDMBgUfQGoVv1owWw29x1jWZbxkY98BF/84he3bB9bhmEYhmGOPdrtNhYXF1EsFlEsFrG8vIxqtYpsNotisSh8mo1GA4qiCD0Vips3m01hc6pj5tPstUwxdKojdzqdsNlssNls8Hg8cDqdcLvdCIVCCAaDQuNobm4O8XgcTqcTgUAAgUBA2KeT1CluRd7+9rfj7rvvFq9NJhNe9apX4fvf/z5OPPHETRwZwzAMwzBMP0eOHIGiKEgmk8jn81AUBYlEAvV6HblcDuVyGbVaDZlMBtVqFYqiQFEUNJtNUd9Pfk51j+1p+TjVNifZmqTX5nQ64fF4hH8zGAwiEolgdnYW0WgUO3bsgCRJwr+5mZpB68Gvf/1rHDhwoO+9mZkZfOlLX8J73vOezRkUwzAMwzCMDsViEblcDolEQtQGlctllMtlZLNZ1Ot1ZLNZlEoloSndaDREfL3VagktacrhVMfX14I2h5NsToqrS5IEWZbh8XhEzibVDMViMczNzcHr9Yq4+iCNxu2M3W7v0/VyOBy46KKL8M1vfpNriRiGYRiGmTrU0yqfz4s+WvSX+mGR7hf9Ja0udY8f8muWSiU0m03UajW0Wi1Rd97pdEQ/kPWA/JrqWiGqS3e73ZAkCS6XC36/X9Sfh8NhzM7OwuPxIBqNYufOnQgEAgiHw0eVX1OPt73tbbjnnnvEa4qv/9u//Rv+7M/+bBNHxjAMwzDM0QrV9Iz7t1qtIpVKCfuzVCqhVquhXC739axT96mjxzS1NymWru73Q/YmxdNJD4nsTa/Xi3A4jJmZGdG7Mh6PIxAIIBKJTG1sW5X7778fb3zjG/ve83q9+PjHP46rr776qKjRZxiGYRhmOpAfstVqIZ1Oo9lsir7i7XYb2WxW+CQVRUG73UahUECn0xH6RbROq9Xqqyev1+ur+hprY+DTioUPQp2XSfrcZrNZaFhTXRDVobtcLng8HvEIBoOQZRkzMzOQZRm7d++G3W6Hz+eD3W4X/s9p9ZbcbvzDP/wDrr32WvHaZDLhla98Jb73ve9h//79mzgyhmEYhmG2KmofZDKZBACkUinhb8xmswCAbDaLZrOJZrOJfD7f956iKKhWq3215ZR3qa73UWsbTarRbhTqhaP2YZL2kcPhEHqb1HfE4/HA4XAgFArB4XAgFotBkiTMzMzA5/MJX6bNZoPP54PVaj0q8zWN8Nxzz+GEE07oey8ajeKaa67BpZdeukmjYhiGYRhmu1CpVER9eCqVQqfTQSaTQa1WE9pF5Oek2h7SaKe8zGq1ikajgUaj0afXTtpGlJu53nanOm6utTupr5/L5YLVahW9kf1+P+x2O4LBICRJQjAYFPmbpIk0MzMDq9UqbFRJkqY+9u1AIBDo68Fut9txwQUX4Fvf+tYxe0wYhmEYhmGYyTH1uIM9wzAMwzDMMU+73canP/1pfOtb34KiKLrLfPe738V73/veDR7ZcCixOJvNIpfL4YUXXkAul0Mmk0EymUSxWBSJxtQotVqtiiSPZrOp6zwHptOUCuh3mKtFDihRQ50kbLfbhdOcEjHC4TBcLhcikUhf8ga9jsVicDgcmJmZgcvlmsqYGYZhGIZhxmW72pPqIrRcLocXX3wRy8vLKBQKWF5eFg0BstksarUaKpWKEP2nxIxut4tWq4Ver4dOpwMAU03GMJlM4q86CcNsNovCM5fLBYvFAkmSYLPZIMuySACWZRk+nw+yLCMYDK6yKZ1OJ6LRKJxOJ+Lx+FHTkIphGIZhmO3FdrQnFUVBoVBAOp3G0tIScrkc0uk0FhYWUC6XUSgUkM1mUa1WRfIvJfi2221hS3a73T47cppok3jJF+lyuUQTU/JJOhwOyLIsRLFIvECWZQQCAdEIgOzNYX8ZhmEYhmE2mm63i+985zv4/Oc/j0QiobtMLBYb+NlmcOTIESwsLGBlZQWLi4tIpVLI5XIi9k0iqtpCMRImoBj3NHyRZDeq49hOpxNWqxVut1s0hgoEApBlWRR6kdCAw+HoExiggi8SKqC/DMMwDMMwW5l77rkHH/vYx/DCCy/ofu7z+foKuzeTXq+HP/3pT/jTn/6EVCqF5eVlLC8vo1QqIZvNIp/Pi+b2lUplldiVWpB/mvakWsCK8iFJLNXpdCIQCMDn88Hv9yMcDiMajQqRVPItUlN7r9cLi8UCv98Pk8mEQCAwpaPHMAzDMAyzPtx99934+Mc/jsOHD+t+vhXsSRKpyufzeOGFF7CwsIB0Ot1Xf0ONnmq1mohxt1otYUeu1SeprquhBvXUPJR8kW63G36/H16vF8FgEJFIBH6/H5FIBIFAAF6vF7FYDD6fD7FYbMpHiWEYhmEYZnP4r//6L3zsYx/b0vZkrVZDPp/HkSNHkEgksLi4iJWVFaRSKWSzWVHLTXFuEuJvNpui6RM9JkFP3JRyIh0OB9xut/jr8/ngdrsRiUQQCoWEPUmC+mRv7tq1C2azecpHimEYhmEYZuO577778IlPfAJPPfXUwGXuv/9+HDhwYANH9TJUq60oCpaWlrC8vIylpSWsrKwgn8+jUCggk8kIgX1qEkW25DSazlOtNtVnk3+S4tv08Pv9cLvdIleS9H68Xi9kWcbc3By8Xi/8fj927twJt9s9rcPEMAzDMAyzqXz961/HNddcg0wmo/v5VVddhS996UsbPKqXIK3JUqmEcrmMbDaLpaUlHD58GOl0WtTi0DKkDaRu1qTWmVwLaj8lxb0dDgdsNpto+OlwOBAMBuHxeCBJEiKRCNxuNzweD/x+P2RZFg0/fT4fdu/efcw2mGcYhmEY5tjj+uuvx3XXXSeavmu58MILceedd27wqF6i2Wwim81iZWUFy8vLWFhYQCKRQDqdFjXgVKdDGufkw9TmWE6K2tYkzXKHwwGHwwGv1wtJkkRupd/vF/FvWZbh9/tFTTfVesuyLDSFjtUG8wzDMAzDHHs89NBDuPTSSwfGz71eL4rF4gaPCkJHaGlpCYcOHRKaQ8lkErlcDvl8HqVSCYqioF6vo1arodVqodVqrcnW1NqY5Mt0OBxCa9Lr9cLr9SIejyMWiyEWiyEej2N2dhaxWAzhcJh9mEcxpVJJaKEOg3I5RkF6/0YoFAqGzutKpYJmszlyuWaziUqlMnK5Xq9nOC+7XC6j3W6PXI5+t6PodDoolUqG9l0sFg3FNUifbBStVmug1q+WQfP2QSiKglarNdY6zGpIa2McrFYrPB7P2Ptyu92w2+1jrWMymeD3+8fe16T6c6Q1Mg5UpzoupG8yDht57M1m80S+nY089qQ7OC6THPutQKVSwSWXXIKf/OQnA69/G9UenO7RVPOTSCRw+PBhLC4uYmlpCclkUsTTy+XyKk1LI/e5Qajrxcmf6Xa7hR+TNM29Xi98Ph98Ph9mZmYQCAQQCoUQiUSwY8cO0VeHWT+M2nzj2AtGttloNKAoCqrVquFtGrF/6Hw3Sq/XM2yD1et18fvtdDqG7Est7XZ7lW1IcYRhtFotQza3ml6vJ3JkxoWuA4MYNN56vW7ofNJbT/v/NXKtVP9PmLUzbH4/7DhP0nfCZDJNtB7pIgMYa55B/o9J9jdJjSnVJUyy3ri21rTH0Ol0dOeR07TLyCc1LaZ53Gh704JsomlBujwAkE6nsby8PNBmC4VC2L17t3g9iS0/CurL2G63hb+S6sfVdiX5MaeVq0lQziadAyaTSWhdqnuC2+122Gw24f+kv2azGXa73fBxmXSutx5MOhdcL9bj/JqU9ZxLUt7FtJh2/6ZparJO+3xf72NndL5QKpWEXUO5PaSNO4hWq2XY9jcaY1IUxdCcu9FoGPIt93q9Dd23eg7T7XYNzxUVRTE0X6D7yKB+aXIAACAASURBVCg6nc7IfdP/W2/fahuXdPMo32u7or4Wb9ZcSW2zE3SP1tqA6t8e2TkOh2PVPYXu4+r1bTZb3/Vefb9XY7FY4HQ6V21X7a80mUziGmU2m1f5Ms1ms/BPuVyuvu9H26fnah+0LMt923G73aK3i8VigcfjEd/JYrHA6/ViEJP4jqfB888/j3e961347W9/q3tOBYNBZLPZqe2vXq+L+Hgul8ORI0dQKBSQTCaxuLgoaoRyuRwKhQJyuZzu9UI9l+v1emPH081mMxwOR18fHcrT9Pl8IoZOOZjhcFi85/F4RLxdey4bjdtpMRqLndZ6RmObm71eo9Ew7FucxnpG482A8Ri20f/ROPs+WrBYLOI6Ouj32+v1YDKZVsX/BunhSpI00GZU3/+dTqf4/Q7SsOh0Orq+l26327ct9f1P+/un65N2HOr1zWYzGo1G33K9Xm+i3/ZaoHuXelza+QJdN+lzs9kMWZb71pMkSWjC0bx20L1QO4fQzgHU8x/qj6vej9rXSfsh21E9dpPJpHte6OWs6P1mqbZVi951YFDOjF7uyaDf/aBcGiO5LqNiJ6PyUEbFfjg35KXzUt0zUN2HWmuPqPP21H0BnU7nULtwPZj2nH0SUqkUEonEwHPozDPPnPo+6X9Dvs16vS7mjnr/x7XkaK7l0W63Dc+7j2ZG+R9HzamA4XlDg3JoBr2vvdcQg+Zug/yAg/LBBvk41fdONYOOj/Z9vfwu7h3KbDXuvfde/MVf/MXIa67dbkez2YTVasV73/te3HrrrRs0QmaroSgKvvnNb+If//EfRVxSjwceeAB+vx8HDx7E008/Lf4+88wz6Ha7sNls2Lt3L/bt24eTTz4Z+/btw549e7B//36ulThKSKVSuOWWW/C1r30NiqKssu8eeeQRnHXWWWveD+WuUS16Pp8f+HpxcXHVOet0OjE7Oyt0h9TPta9nZmZYN/0YplQq4Te/+Q0eeugh/OY3v8HDDz+MXC4Hp9OJmZkZLC0t6V4TzWYzer0eXv/61+O2227DiSeeuAmjZ7Yrp59+Ov7whz8AAE499VQ88cQTmzwiZjtx6NAhfOADH8B9990Hs9ms64u02+2YnZ1FIpFAvV5HMBjEa17zGrz61a/Ga1/7Wrz61a/ecN8Zs7XQs7UG2V2pVGqVTzsQCAy0rbR2VzweX3M+3KOPPopXvepV4jX5hR0OB973vvfhk5/8JObn59e0D2Zr0G63sbCwgEOHDvXNOZ944gkR74nH431zzpNPPhntdhtvfOMbdbdJeTKXX345rr766i2VL8psLO9///tx++23o91uC5/YMEwmE37+85/jvPPO26ARMkc72jizNm6uF6ueZBlgcEx9UPx8UM7RoBytQTHtQbFwvfj8oNj8OBoRWxUjNfhG4kpryY9fy7rdbhcul2tVfYveo91ui7oXej0od5hsQr24hbqfDfXbJu1xp9MJSZIgy7KILVJuDfn0phWrv/7663XH53A4cPrpp+PAgQMbXuuxWb8Jul7QX9IEVT+vVqvieFEOsCzLcLvdogeRy+VCr9fri9k+88wzWFpaWnWs6dgGg0HE43HDMQWjOYbEuHmPRuvGtzKD4uCDdE304vWD6mK0sfpWqwWbzbYqh7zVakGWZZhMJpFjArz0++31en33oWazKdbvdDqoVqvodDpwOByipk69LPlGut2uOBdsNhva7bbomUBjUF+LqIabckrU169ms4leryfyHtX3w06ng1arJc7hVqs1tfo+I1gsFt3cKWLQWGiZdru97WvJJUnqu88Nujb7fD5DdXGDcki0GKk1M6oXZLSe0WhNmjb3cxBG9WqM3luN5soYreEY14Yxul11PRvVn0zCoDzXSTCqBzcKo5pto5i0PkOL9j5Lx75araJaraJYLIrnpAOp7nVD+YdqnR6jx4nyBOk55cFr16daaDrPyXahntsul6vvMamOwyBuuummgfnrwWAQf/3Xf41oNApgfG26abGRNqi2ZgBAn67LoPO71+vpfqb3nt78VW85ynXVjk/vPb3aSr33jI5R71zXq7/QG+NGoadpMUj7YdB76nu2WudBu452u3rLDltXPc5RGifavFO9sY/bz1WvvmUU2n243e6R9sm49QaT6FKMazvq/RZGMcl5Pem9j+z/aeQItdvtscY9zC5Vzy/WCs1liEn9GNp5EMNsNLIsi9+q9jymc1xd7zzqobfuNFHbonTfIl8n1fDTPYmer6efMZ1OD9SqpvnoNPVUjja0NSjj+h+ZjWEcHc+twKTXnXK5vO390wwDDLZLt7uver0hfSEjy42jk6n2qQ6bq5D+9bDPaZ92u93Q/kkLSTuOQeMcND6tTpIkSYbsK+qFPchP3ul00Gw2Ua1W+2Lh5D8lLS3q2632Y9I8UW2jTgr9T6nXDdmWbrcbPp8Pfr8foVAI4XAYc3NzmJ2dhcfjEdpv4XB41fEwmUyIx+MT6y3pxQMGHXOz2YwDBw7gxz/+MdudDMMwDMMwKur1OrLZLJLJJJaXl0W9TjKZRCKRQKFQQLlcFg/qc0M2pzqmMq69qdZmIvuScjRlWYbX60UgEEAwGBS9FHfs2IE9e/Zgfn4eHo9nU/SUvF7vQF/nzp078a//+q9485vfvMGjYhiGYRiG2RwKhQIajQYqlYqwF0ulkvBf5vN5KIqCQqEg7Mt8Pi/yNrW9FNU25lr9mer+3dTLxul0wuPxwO12w+PxIBgMIhqNIhKJIBaLYefOnaIePRQKbYpWPABceOGFuOuuu3Q/kyQJf//3f4+vfe1rGzwqhmEYhmGYzSGTyaBUKiGZTKJcLqNYLGJlZQWVSgXFYhHZbBbVahW5XE7UGJdKJWFnUr0m5UavRYOcoPxM6ttE9qbdbu+rCfL5fIhEIohEIgiHw4jH49i7dy9isZjogbOZWluD4usmkwn79+/HXXfdhX379m3wqBiGYRiGYTaHXC6HF198EaVSCYVCAZlMBuVyGdlsFoqiIJ/PI5FIoFarQVEUKIoiesCqtZCo1ndQPblR1DYnxdRJ28hut8Pv98Pj8UCWZQQCAcRiMYRCIczOzmLv3r2YnZ0VvRc3s0fJgQMH8Otf/1r3M4/Hg8suuwzXXHMN668zDMMwDHPU02g0hL56sVhEIpFApVIRPbtLpZKwPYvFooilK4oi6oQajYbQupuWn5PsTYqtk+6Rw+FYlcdJuZy7du3Cjh074PF4EAgEEAqFNrXf03//93/j/PPP1/3MYrHgTW96E/793/8dkUhkg0fGMAzDMAyz8WQyGWFvKoqCdDot7M1EIoFSqYR8Po9CoYBqtQpFUVCr1fryOEmbea216XpxdbI5ye4kH2YgEBBx9VAohD179mDnzp0IBoOQZXlkn+uNgPoB6rFnzx7cdttt+PM///MNHhXDMAzDMMz0oDog+ks6h9QDivTmy+UycrkcMpkM8vk8stksarUacrkcarWa0HgnPXet/tFa9avV2pqkM0U6SDabTWi3S5IEt9uNUCgEj8cDv9+P2dlZ0cfy+OOPx9zc3Jbql/r6178eDzzwgO5nHF9nGIZhGOZogexL7d9isYhWqyXqgQqFApLJJLLZrIil69mc1P+N8jenYXMCL8fT1bXqZHNS30qHwwGv1wuv1wuPx9NXPzQ/P4/du3djdnYWoVBoCkduOtxzzz1429vepvuZyWTC2Wefje985zvYv3//Bo+MYRiGYRhmOL1eDysrK2g0GkgkEmg2m0ilUmg0Gshms0LjiP5Wq1WhiVQul4W2u9qGpIc2J3OtGu5atP2C1L5N0s+XJAlWqxWSJEGSJLhcLlE3FAgEMDMzA5/Ph507dwpNJL/fL2zTrcb73vc+fPe739X9TJZlfPjDH8a1117Lvk6GYRiGYbYc7XYbqVQK1WoV6XQa9XodmUwG9XoduVwO9XodhUIBtVpNvF8sFkXvoHq9jnq9LrTb1frtG2F3qvM2qVcl2Z3Us1KSJDidTpG7KUkSIpEIgsEg/H4/9uzZg2AwiLm5Ofh8PjidTrjd7qmNc1o8/vjjOPPMM3U/s1gseMMb3oA777wTsVhsg0fGMAzDMAwzmk6no2t3Ui4mxcyp3rxcLqNSqaBSqaBWqwmbU63nrs7V1OoerZfdabFYRD9Tiqk7nU7Rb4j0OLW16vF4HMFgEDt37kQsFhOanVsRSZJQq9V0P9uzZw9uueUWnHfeeRs8KoZhGIZhGGa7YupN0zpnGIZhGIZhthWPPPII3v/+9+OJJ54Y6bS98cYb8bGPfWyi/VCj0EOHDiGZTCKTyWB5eblP8LRWqwmnMzmataJTaxWeAlY7lEkUwGKxiOb1VqsVHo8HNpsNXq8XTqcTfr8fkiQhEAjA5/MhFAohGAwiFApBkiSEw2FIkoRYLAabzTbx+BiGYRiGYbYTjz76KC699NJ1tycrlQqy2SwOHz6MI0eOoFgsYnFxEfl8HqVSCZlMBtVqFZVKRTRsqtfrImFW25B+rWKmAETBP9mTZrMZTqcTZrMZLperLzmWEhU8Ho9oWO/xeETD0HA4DJfLhUgkArfbjWg0ysVNDMMwDMMcEzz++OO49NJL8fjjj6+bPdlsNpFMJnHkyBGsrKxgaWkJ6XQa6XQauVwOpVIJxWJRJMOS6Km6AGuavkkqrrJarUIg3+l0wmKxQJIk2O12eDwe2O12BAIByLIMn8+HYDAIr9cLt9uNQCAAt9uNSCQCp9MJj8cjfJrqvwzDMAzDMEc7CwsL+NCHPoSf//zn6HQ6Q5f1er0oFotj76PZbOLIkSN44YUXkE6nsbKyguXlZWQyGRHvLpVKoqCfmixpbclJm3qSP1Lb1FMtfE8CpNRAyefziaKpmZkZBINBHH/88XC73aIhk9PpRDAY3NSm8gzDMAzDMJuNoij48Ic/jB/+8IdoNBpDl3U6nQMLu0exvLyM5557TuRNLi0tIZFIoFAooFKpCJHSarWKWq2GdrstmsWv1Z4E+ht20kMt+kQxbY/HA5fLJXyRHo8Hs7OzmJmZwXHHHSfi32xPMgzDMAzDvMR625Mk5rSysoKDBw/i+eefR7FYRKFQwPLysvBLlstl4Z9U+ya1OZPjorYjqTGSw+GAzWYTDZHcbreop4lGowiFQojFYpibm4Pf74fX68XevXshy/LY+2cYhmEYhjnaURQFl112Ge66666R9qTL5UK1Wh1r+/l8HoqiYGlpCc8//zwOHTqEXC6HQqGAVCoFRVGEoGitVkOz2RT2pFawfly0zd1JFNThcMDpdAoReqqxCYVCmJ2dRSwWg8fjEfal3+/H8ccfD7vdPvYYGIZhGIZhjnYURcFVV12FO+64w5Ct+NOf/hTnn3++oW1TQ/fnn38ey8vLSCQSWFhYQDabRS6XQzabRbFYFHXdZE9SA3cSoZ+0gbu2aTvFt+12OyRJEjXbgUBANDSipu2hUEjEukOhEKLR6ERjYBiGYRiGORbIZDJ4z3veg3vvvRftdnvoshdffDFuv/32sbafz+exsrKCxcVFHD58GMlkUmhQ5nI5lMtlKIoCRVFQr9eF7iTFu9diU1Itt7oGx263i0brZFMGg0EEAgF4vV7Mz8/D5/PB4/EgHo8L3+Xc3Bz7KBmGYRiGYdZAKpXCe9/7XvziF78YWQt+3nnn4Re/+IXhbbfbbaysrODZZ5/F4cOHsby8jFwuh2QyiXw+L/SEyOYku3OtWkLaOh3yX1KDTJfL1ac36fP5MD8/L+Li4XAYDocDPp9P1Oj4/X4Ra2cYhmEYhmHG55prrsGXv/xllEqlocuNW99Tq9Xw7LPPYmFhAel0GsvLy1hYWEAymRT2JjV2V8fOO51OXwN3o2j76Fit1r6YOelSUp8cv9+PWCyGvXv3IhqNIhAI4LjjjtuyjdgZhmGITqcz8pqtB+kFj0s+nx97HdKTG5disTh2jIvytcalXC6PjPNp2chj3+v1UCgUxt7XRh77ZrOJSqUy9r428tgz/ZDu9riQXs5aqNfrSKfTaLVaI5c944wzDPWacbvd6PV6qNfrqFQqfT5MtTa6ts5nGr12tNqW9HA4HEKDyGazwWq1ihg7aae7XC5D/kyz2Tw129Rms02tXt3hcECSpKlsaxrnllHIn7wRkL7pRuB2uzcsL2Mj9yXLMvcx3UQmsf+63e5EmsXtdhvlcnns9Sa1QxqNxti1psDL+iXjUqlU0Gw2x15vEnsJAEql0siYoh6FQmHse+Ok9uqkdt2kdr8ek9rMg5j0uDPbB9IK6na7A3s4av+uBbXNqe7PQ73DyQ5VP1c/xoVi9XqQHT1NnE5n3/FcD3q9nti20+mcau8hI+OmHpzjQr3np82k2+31egPncHa7fei8rdFoTPR7oNq6cel0Oobmm3ro3ePptzeMZrM50Vhpzjou3W53It/e0Y7R35rdbjd0jaR6zFGYTCbDc0yHw2HIz2G1Wg3Ng8bZN/UFHgT5T0jTZBSU6zVsbMPmw6PWp9qFQYz6rVut1onuhcBLvzHttnu9nq49P+g97XWvVqutsjsp9067b+11utfr6b6n9/1brdaqfbfbbd33Bu1b/b76PqqFbKHtxqjfIJ03Rq7rJpNprHodm8028T2KWX8m9XOuZb1Jcl2N+pSBfnvV6XROtD9aT+/6MoxBNmK32+27dppMJsP3PLpvdDqdobYQLVer1Yb+lq1WK7rd7kj/kMViEb0OhtHr9Qz5qKrV6ra4FgQCAd33B/V0HeR3HxaTGGcf2mX1tqvnt9bmlevFx/T8+D6fr+8ctlgs8Hq9fctsZKyBObYY5Usex0c9iQ/WqI+4UCjgP//zP/HjH/8YAIZeJ3fs2IFXvOIVSKVSSCQSyOVyYh+SJAmNm0gkgnA4LB6hUEjXrp+2X9cIk+bZTINarYZf/epXeOqpp0baqVdeeeXAz9rttqgHonxNytmk3j70oDki5W4awWw2C/8pxX4lSYIsy/B6vZAkScTNqV6IHrIsw2w2rzlmvNYYpvb6bwS9e4QWI3F1I3Fl7q3OMAyxuLiIU089FaVSaZVfgvwPFosF+/fvx1ve8hacc845OHDgwMjrFXN00mq1cMcdd+Dqq69GqVQaareZzWZxTrlcLpx00kk4+eSTsW/fPpx00knYt28fjjvuuIl9r8zW5rnnnsPNN9+MW2+9dWhs8Gc/+xne+ta3rnq/0Wggm80in88LnaTl5eVVz/P5PJaWllblFjmdTgQCAczOziIejyMQCKx6Tc+j0SjbRczE9Ho9PPvss3j44YfxpS99Cc8///xQP7/VaoXZbMbVV1+Nq6++esPyQZntzY033ijm6P/yL/+Cj3/845s8ImY70Gq1cMstt+Cqq64aGQ83m814xStegauvvhqvec1rcOKJJ7LGCrMm8vl8n702zJZLJBJ9PkOy40bZcoFAADt37tStY/rZz36Gv/qrv9Idm81mQ6/XwwUXXIArr7wS+/fvX7fjwGwenU4Hhw8fxtNPP40//vGPePrpp3Hw4EH88Y9/FPEA9ZxVD5vNBpfLhU9/+tO4/PLL2W47RqlWq3j88cfx4IMP4t5778WDDz6IZrMJm822KofKbDZDlmU88cQTOO644zZx1AzDAKPrhEbFsY3UshmpPzMSj1cUZWTuz6g6/UnrsIC111RNWqcGvJyDQHm22vptyldrtVqid6O27864OffqWhnKDaZcZ5vN1vcYlSP+2GOPDd2XyWSCz+fDjh07Nlw/fVAe1XoyKtZNuXWVSkVokNJzdW6LyWSC2+2G1+uFx+NBOp1GLpcbuF2KyZ9yyik455xzRmodGInJaxlHi3RUnsKoeP+omv1Reg6j9ANMJhP8fv/Az5mNR68uWXtt1bsv6eU7aWtR9XK99O5N2vuMXm22Xq5TPp/vu4e12+2+e2On00G1Wl2Vu1apVHRziEjPYyuhV2ND4x6U22yz2WA2m3XvUfQZoVdfaTKZVsWt9GotLBbLqmsT6Z8QdN/T0mw2+7Y3KL+p0WiI5YZdB2u12lRqX48mKLdtHCwWC9xu99j7kmV57Ji7zWabqG7B4/GMnQ9HPWjU6NU6aZFleWw/tcPhgMPhQLVaFdefRqOBWq2GRqMhrp30utlsotVqifFQreykfcIJrVYl5ThSHx7qE045jpIkDTyuP/rRj0YeK5vNhpNOOgknnXQSABi277vdLiqVysAaDMr9HLbuIIbVXnQ6naHrKoqy5bQV9HJJ9ew+u92+6nesZ38Ossn0ck718jz18kP1xqNnWw6yh/XmEHrj0dPr4ToIhmGmyTT1IKepJaRlM+tBiLX45abFJJpS02QcTbJGozEVG4P8W8ViEaVSSdieiqKI5+q+O41GA+12W8SV1mJrkj6Q2r9JPXjIDpFlGZIkwe/3w+12C1/UMNv6nnvuwZ/+9Keh+zaZTIjH43jrW9/aZ3NMqm8yCNL9nCaTarfoQT7OcX7/drt9ZH7qtM5PotPpTN3HUq/Xp/p7X8u5Mw09Hpq3GWFUDfoger3ehtcrHgtYrdaJ5h8Uz58kJ47qFMfF5XIN/f1brVbd8ZB+2rhYrdZV/h6qzxyG2WyeqDbIYrEgHA5PdGwm1YKdtFZ0Ur3kcTWbx4nBjPNdvF4v19wcI1AMJ5/P48UXX8SRI0egKApKpRISiQTS6TRSqZSIs1IvHrXNOal2E90bKW5Odd0Ut/X5fPD5fAgEAojH4zj++OOxb98+zM/PIxKJjPxN12o1Qz7p+fl53Hrrrbo1RgzDMAzDMMzaKJfLyGazyGazSKfTePHFF4VmE9ma+XwepVJJxNfr9brI1VT34hkHdV9x8muS35L663g8HoTDYUSjUUQiEczOzmJubg779+/H3Nyc4Tmky+Ua6V90Op24+OKL8Y1vfGOiOS3DMAzDMAzzcqyefJqFQgGNRgOZTEbYnAsLCygUCiiVSshmsyK+TutQjdBabE1gtb2p9m9KkgRJkuDz+eD3+xGJRBAIBDAzM4Pdu3fjhBNOQCwWQygUMmwbnnfeebjvvvtGjunss8/Gj370I+zatWvs78QwDMMwDMO8RCKRQKlUwsrKCvL5PBRFQSKRQLFYRDabRSqVQrlcFrHzSqWCWq2GZrMpatGpDn3S/uLq/o7qvE2qlVLXQgcCAUQiEUQiEcTjcezevRvz8/OYnZ0dq6a3Xq8byinxeDy44oor8JnPfIbzShiGYRiGYSakVquhUChgYWEB5XIZ+XweqVQKqVQK2WwWyWQSpVIJiqKgWCxCURRRn051IGqbExi/37jW5rRYLHA4HMLXKcuyqBcKhUKi5xL5OWdmZrBnzx4Eg8GxcuVPO+00/OEPfxi6jNlsxllnnYU777wTr3jFK8b6XgzDMAzDMMzL5HI5JJNJFAoFpFIpLC4uith6MpkU9mahUBA1zBRXp5g61amvxc9Jdif5OdU2J+V0hkIheL1e+P1+7Ny5U+R1nnHGGYjFYmPZnHfddRcuvPDCkcvF43HceOONuOCCC8b+bgzDMAzDMMxL5HI5vPjiiyiVSigUClhaWkI+n0c6ncby8rKwNcnPST7Oer0ubE51jfo08jmpZt3pdIqcTsrnlGUZwWAQu3btQigUQiAQwGmnnYYdO3aMpSfSbrcN1Rw5nU5ceOGFuOWWW7jfDMMwDMMwzAio7kf9l2xLqhWi2Dr5NkulkqhLpzxOdT8hqhma1McJ6NubpPFIuu9Op1NoJMmyjFgshmg0ikAggN27d+OVr3wlwuHw2Ps+9dRT8eSTTw5dhuLrP/jBD7B3796JviPDMAzDMMyxBNmZapuT+pzncjmhiVQul1GpVFAul0WPoUqlIrQ3qdfQWm1OdVydcjnV2u+kHyvLstDm9Pv9iEajiMViiEQi2L17N4477jjMzMyMvf//+I//wEUXXTRyOZ/PhyuvvBKf/OQnR+qdMwzDMAzDHO0oioJ0Oo1qtYpMJoNarYZMJoNGo4Hl5WXU63Ukk0mh995oNFAul/v6WVL/SvJlUq4m1QlNo48l/aWeszabrU8D3uFwwO12w+VywePxwOfzwePxIBaLIRAIIBQK4fjjjxcx9rX0K3j729+Ou+++e+SYTz/9dNx5552iHybDMAzDMMyxTLVaRSqV6rM7s9ksFEVBMplEuVxGoVBAuVxGuVwW/S0bjQaq1SparZbI1Ww0Guh2u1PzaxLqmiGqG1LXq5N/0+VywefzCb2kWCwGj8eDubk5zMzMIBAIYN++fbq9so3y61//GgcOHBi5XDQaxXXXXYeLL754ov0wDMMwDMMcbdTr9T5/Z7VaRTabRaFQQC6XQ6FQQKFQEP0sa7Wa0EGiGHq1WhV9rNvttqgVmoavE9DXSFLXDtntdkiSJOrWA4GAyOmcm5tDMBgUOknRaBTBYHDisdjt9pG9sO12Oy644AJ8+9vfnqj3LcMwDMMwDHPsYOqt1VpmGIZhGIZhthXtdhuf//zn8Y1vfAOlUsnwejt37kQ8HheF9STepC2qVycDTII2CcBsNouieip0cjgc8Hg8cDqd8Pv98Hq98Hq9mJmZgd/vRywWw65du+D3+xEKhRAKhbgQiWEYhmEYZkpMak/u2rULMzMzKJVKfQL07XYbzWazTxB0rfYkgD570mq19jXfJFF6p9MJj8eDYDAIt9uNWCyGcDgMn8+HE044QTTmnJ2dZRFPhmEYhmGYKdFut/GFL3wBN99889j+yWg0CkVRhFAoFcprk0an1diIkkWpuZHL5RJFSiQyT35Jn8+HaDSK3bt3w+fzIRaLiWV9Ph/MZvPY42EYhmEYhmFW0+128b3vfQ+f/exnsby8bHg9i8WCU045RRTCky2pLkJai29SG+e2WCyw2WzCJ0kC8rIsC59kMBhEIBDA/Pw84vE4ZmZmsHfvXvj9frYfGYZhGIZh1pH7778fH/jAB/DMM88YXsdsNuO0005DtVoVDTDJnux0OmuOdeuJJ1mtVjgcDmFP8MeAtwAAIABJREFUyrIMt9sNWZYRDodF48vZ2VnMz88jHA5j7969wi/JMAzDMAzDrA8PP/wwLrnkEhw8eNDwOmazGfv370etVhNCnSQKT/7JSWPd2hi32pYk21CSJASDQdFoKBaLIR6PIxqNYnZ2FrOzswgGgwiFQuMeDoZhGIZhGGZM1mJPquPd5KPU1naPi9aetNls4uF2uyFJkhBzJ59kJBLB/Pw8ZmdnEQgEEI/HEYvF4Ha7x94/wzAMwzAMMx6PPfYYLrvsMjz88MOG7T+TyYT5+XnY7XZUq1XRuJKaoq9FvF0vb1Ib5/Z6vfB4PAiHwwiHw4hEIpibmxP2ZDgcxvz8POdNMgzDMAzDbBA//OEP8alPfQqLi4uG1wmFQtizZw+KxWJfjbc2hxLARDFvs9ksmp6Tf9LhcAj/pNvtFrYj+Sh37dolXsdiMczPz8Nms421b4ZhGIZhGGb9uPPOO3HVVVfhyJEjhtdxu93YsWOHyLOkXMt2u70mTSG9eh273Q6n0ylsTnXtdyQSEbmV8/PziMVi8Pv9cLvdrEfJMAzDMAyzhTh8+DDe/e5344EHHjBsI5rNZpx44omoVqtCG53i55PanIP0hpxOp6gL9/l8wsdJ/swdO3Zgfn4e0WgUsVhs0sPAMAzDMMxRDtWQjEOv10OhUBh7X/V6HbVabez1CoXC2D67ZrOJSqUy9r7K5TLa7fZY67TbbZTL5bH3Bbyke/mzn/0MjzzyyFj/h0AggG63K+p+1LpEwGRx9UH15DabTTynunKyR9WvjeZoTnKMB1EsFkUuwVrJ5/NT2U6n0xlLE38YrVYLiqJMZVsMs1FQPs7RhNvtht1u3+xhTBXuacFsZ6g+ZRTVatWQfWV0e0ZZS09EgmzLaWyL6HQ6aDQaY31Xsg+nOQ6GmQY0Z5k2k/ajt1gsffdVo/MdymuedJ+TQPnUk6xH35HqBcdZdxLWst4k33HSfRpdZ5zljI6f7bmNxev1rsu1Z72QZXlb1T5IkrQt8ub8fv/E1xii0WjobhcYfY2t1+sDP9OuazKZIMuyeD3ML9tut9FqtQZ+TjmWtF2n06m7XKfTwe9+9zscOXLEsN1pMplgt9tX9fGZRl9ItZ9T7e9U+z2bzaZYdpz/7bD7eKVSQafTGbmNSa7j1WrV0Lb1WOu5e7QxLX+PyWQSv+G1Mg3NfyM+H7vdbkjDy8i9b5rbstlsfdetQXg8noG2+6Dr9KD74qBjbrVa4fF4Ro6FYRhGTTqdxle+8hV89atfBQBDvkmfz4dXv/rV2LNnD4477jjs2bNHPA8EAus95G3LQw89hCuuuAIPPfSQYbvx3HPPRbVaRalUgqIoQhup1WqNtF3V9eikcRQIBBAKhRCNRjEzM4PZ2VlEo1H4fD74/X7x8Hq90/jKDMMwjAGazSZe97rX4bHHHoPJZILVakWr1YLdbsfZZ5+NN73pTThw4ABe85rXDPRtMMcO99xzDz7ykY9gYWHBkB/Lbrfj/PPPx/XXX4/du3ezf/4Y4YEHHsC1116Le++9V1xTBmGxWPDWt74V8XgcyWQSmUwG6XQaKysrq3JLnU4nIpEIYrEYov8fe3ceJ0V953/83T0HMwMMMA6CcogBFRWMJKLGMwZUvJKHiXibh2R1dZMY9We8omwIxAiboAlmY+KtUbNEkmzUzSbqqisxEnE1KorKIdfAHMx9T/d0/f6oRzfTM8NUdU/11LeK1/Px4PEIw0xVkbfweVOf6er999fYsWM1duxYjR8/PvW/e/5aEO6dI3zKy8tVW1vr6nPz8/M1ceJEPfjgg5o7d26OrwxBt3PnTk2aNEmWZWn79u2aMGGC35cEw61evVpXXXWVNm3a5HpHNmbMGNXV1eX4yoC+Ojo6VFNTo6qqKlVXV6umpkY1NTWqrKxM/e/q6upUX+y9/y8tLe3TCXfu3Kk//elPA/73X1BQoFgspuOOO0533HGHzj33XHbD+4BEIqEtW7bo5ptv1vPPP+9qJxGNRjV+/HjdfffduuKKK/jvZB/X0dGhNWvW6H//93/18ssv6+9//7s6OztVWFiYer/bz33uc3rjjTdC91oaADBZY2OjGhoaUj8aGxtVXV2tnTt3pnplbW2t6uvr+919DyT5fMzk90uNHDlSI0eO1PDhw/XXv/7V9TUeeeSR+tnPfqY5c+YM9rcbWvX19fr000+1efNmbd68OfW///73v6uxsdHx65PfU7tgwQItWrRIBx544BBcNYChsLfnnyQSib3+/bC356y0tLT0+3d/8r09etvbMysGOvfenuMx0Nf05OY5Nm6f0+Lm+SRuny/j5vkk2T4XBwD2VUF4xsxAr0MxQTQa1ahRo/y+DE8E4b8H7FuS9072dU1NTVm/LjUIOjs71dbWNuTn9eqZhYBbXj/vIhdz2+vXw3n9DIq8vDzPX+uVbdccTAfM9pkX2T6DpLi4OKvXYLh9DXpv+8L/NwAAdzo7O1VbW5vamVdVVam2tla7du1SZWWl6urqVF9fr+bmZrW2tqq9vT3tvSh7PsfIrd7vQVlQUKDi4mIVFxcrLy9PmzZtcn2swsJCnX/++XriiSf4HiwAAABDVVdXq7q6Wtu2bVNFRYW2b9+eet1PfX29Ghsb1dLSotbWVnV0dKirqyvtvYGy6ZvJH8lnYxYWFqa9D+XHH3+c0XM8jzzySD399NOaOXNmtv83AAAAwGMdHR1qa2tTQ0ODqqqqVFFRoR07dmjXrl1prw1K3ttMvu958j3Pk/c3e74XpVv9dc7kszSTO+IdO3Zk9L6eZWVlWrJkib75zW9m+n8FAAAAcqSxsTHtGUe7d+/Wzp07tXPnTjU0NKTd32xra0vt05PvS9Tzvc+z6ZzSnvfry8vLS93nTHbOwsJCrVu3zvUxo9GovvCFL2jlypU8lw4AAMAQ1dXVqqurU1VVVeq5R5WVlaqsrEz1zYaGBrW1tfXpnPF43JPO2fM9KAsLC1VQUKDCwkKNGDFCxcXF2rBhQ0bPhRg9erSWLFmib3/72xldDwAAAHKjpqZG9fX12rVrV6p3Jl8/lHwWZ319feqZEa2trZ51TmnPa4iS73GW3K8XFRWlfnR0dOjTTz91fcz8/Hyde+65evzxx3nvSgAAAAMkXx/U8/nuO3bsUE1NTdqz4JPfx5l8jm7P3bplWVl9P6e053s6k/c5k52z5369uLhY//jHPzI65rRp0/T444/rC1/4QsbXBAAAAG90d3erqalJ1dXVqqys1ObNm1VXV5d6j8qmpiY1Njaqqakp9Vykjo6OtGcj9b7Hme1uPfkaot7f05l8DuDw4cO1fv36jPbro0aN0g033KBFixZldE0AAADwVltbm+rq6rRp0yZt37499SzOmpoaNTU1pd7Lsuf3ciafjxSLxZRIJNKekTTY+5w9O2d+fr6GDRum4cOHp/brGzZscH3caDSq448/Xo888ogOO+ywjK8LAAAA2Wlvb1dlZaV2796t1tZWbd68WU1NTWkfq6mpUXt7u9rb29XU1KRYLJb2bKRk1xzM/c2kns9K6rlbT/bNgoIClZSUqKSkREVFRdq0aZNqampcH7+0tFTXX3+9Fi1apGg0mtU1AgAAIHOffvqpWltbVVtbqx07dqixsVHbtm1L7dJ3796t9vb21LPfu7q61NbWpng8nuqdXtzflNJft57cr+fl5amgoCD1PZ3J90kcMWKEOjs7M/q+zry8PJ155pl6/PHHVV5entU1AgAAIHMtLS2p16onXzOUfBZnXV2damtr1d7ervr6+tT9zvb2dsVisQFfr+7Fvc5k5+x5r7OwsFDFxcUaOXKkioqK9Prrr2d0rqlTp+rhhx/WqaeemtX1AQAAINwiVq92+cYbb+iee+7x63oAAACQIw0NDXrrrbfU0NAwqOP0fJF68gVDyQcj5efnKxKJqL29vc+CveeDk5IvZE8+uLOwsNCL3yIAAAByyKs+KfV9AXp+fn6qO0YiEXV0dKQeiJRcnCdfpF5UVKT8/PxUn0x+I2eypwIAAMBMjY2NWrt2rWf3J3u+0Cf5DZeFhYWKRCJqa2vr8/Hkj6KiorSHuyd7JgAAAMzW0dGht99+W7t27cr6xTtS34cV9X7zyUgkoubm5rQd+LBhw1I/ioqK0h5mBAAAgGBIJBJ65513tG3bNnV3d2d9nGz7ZPK+ZPLe5PDhwzVs2DAPf4cAAADIpUQioX/84x/aunWrJ32y92txkrvsaDSqxsbGtIerJ38teU+yuLhYxcXFPCwdAAAgQBKJhN59911t2bLF0z7Z+7XbeXl5qT6Z/J7Jnq/pTj5EvaSkxMPfHQAAAHItkUjoww8/1MaNGxWPx7M+Tn9v9NjztTZ5eXlqaGhI24EnO2WyTyYfkg4AAIBgicVieuutt7Rr1y4lEomsj9P7TXV6fg9lSUmJOjo6FIvF+uy8i4uLVVRUlPreSZ4TBAAAEE6xWExr164d1GvBez5XqOezzZP3MZOv2yksLEzd40w+3zz5/ZUjRoxQfn4+32cJAAAQUhs2bND69evV1dWV9TH6e21P8nXgI0aMUFVVVep7NJN9M/nanuSbitM3AQAAwqupqUlvvvnmoJ6j3vv7NZOdM3kPs7W1VZ2dnal7nMXFxannpSf7J3t1JHV3dw/qNWmZnmsw31uSiXg8PqTnGsxzbDMRi8WG7FxuDeV/Q0NlKDMdKib+twPkWpD3ugUFBYM+xo4dO7R79+6s52Hv7+lMds/ksy97Pxez53v1JO9/miJ5/bmQ7OW5kMvrTr5/Z66OnavrBgAAZqmrq9Nbb72lpqamrL6+533O5GvOi4uLVVpaqjFjxmi//fbTunXrUvc1k79eXFysgoICOgcAAPBVR0eHPv74Y23atCnje3DRaFTnn38+O1sXLMvSxo0btXnzZjU3N2f89fn5+ak+OWLECJWWlmr06NEqKytTeXm5xo8frw8//FCVlZUqLi5WYWGhcfc3AQAD+8c//qGNGzcqGo1qv/320/7776+xY8eqrKwssLtCeG/37t169913VV9fn/HXjh8/XieddFIOrgomSSQS2rFjh9rb2/X+++8rPz/f1XM5CwsLVVZWpiOOOELjx4/X2LFjUz1z//33V3l5ufbff39t3bpVv/zlL4fgdwJkr7W1Vf/93/+d1ddOmTJFM2fO5H1TMaBXX31VkvTFL37R1+uA2To7O/X+++9ry5YtWX39WWedpeHDh3t7UYDHrr32Wk2aNEm7d+9WTU2NqqurVVVVpZqaGtXU1KiyslLr169XXV2dq9e65+Xlqbu7W0ceeaSGDx+uiRMn8u/hfcBf//pXVVZWZvx1Y8aM0Wc/+1mVl5fn4KoQRIlEQnV1dam/j2pra5VIJDRt2jQdffTRfl8eAMClWCymWCymrq4utbe3a/z48Tr88MNVXV2tmpoa1dXVqb6+Xk1NTWpra1N7e7va29uzem+ikSNH6jOf+YymTZvG9zy4YFmW/vCHP2T1fSVTp07VYYcdpqKiohxdHQDAa149c8GyrEG9h2BPg3mWIgaW69fR5ufne9a3IpFI1t8T2d3drVgsluqQHR0dqR8zZsxQbW1tqmu2t7ers7NTXV1dqWfLZPt8i5EjR2rWrFkaPXq04+fGYrGszjGQXPzZ8fo6LcvKye/dLdP/fkkkEsY/B2con4s0GH7+dwZ4hdcGKPV87DCKRCK+/N4KCgqG/P6YX89yyfWfoa6urtSPzs5OdXR0qKurS7FYTGVlZbIsSy0tLero6FBnZ6disVjq31+WZWXdOfPy8jRx4kTNmDHD0/9fw/znDQAAIIgsy1JHR0fq/mXPnXlnZ2fqfdBbWlpSH4vFYorH44O+zylJo0eP1rHHHqvS0lIPf1cAAAAwSSKRUHt7u1paWtTW1pbaqSf357FYTOPGjVNra2vafc7kvjC5M8y2dxYWFurwww/XIYcc4uVvCwAAAIZIJBKKx+Ope5g9728m+2YsFtPIkSNT90OTH++9W8+2c0YiER1wwAGaPXs234cDAAAQQsl7nD1fO9Te3p72/Z3xeFwFBQUqKipK/Vo8Hk/t1gfbOSWpqKhIRx11lCZPnuzh7w4AAAAmSHbOZNdM/kg+L6mzszPVLceMGZP2az1364PtnMl7ncccc4wKCws9/B0CAADABK2tranXqif/d7JvJr9vMx6Pq6SkJPXcnmQXTT6nJtk3B9M7R44cqc997nMaO3asV781AAAAGCL5/Zvt7e1qa2tLdc7ks97j8bhisZjy8/NVVFSU+p7O3q9bH+y9zoKCAh166KE6/PDDPfzdAQAAwG+WZaWejZR8zXpnZ2eqd/bsnIlEQqWlpero6Ei9hih5r9OLzhmJRDRu3DjNnj2b96gGAAAImY6ODrW1taWehRSLxdLuZSbfb6i7u1tFRUWp/Xqyd3r1PZ2S/VqiI488UlOmTOH9MAEAAEIguTtvaWlJvUa9ra0t1TOTnbJnt8zLy1N+fn7as5K8us8p2fc6y8vLNXv2bJWUlHj0OwUAAIBfkr0y2TmTe/V4PK729vbU7jy5V092zOHDh6fufXq5W08qKSnR0UcfrQMPPNCD3yUAAAD8lNyRJ5+52dramuqePZ8Hn3ytULJfJp9l1PP+p1evXZfs92CfOnWqZsyYoWg0OujfJwAAAILnC1/4gv7f//t/aR/L7/1J27dv16pVq3TBBRcM2YUBsO3YsUNr1qzhz5+DVatW6fjjj9fEiRP9vhQACJT6+nrF43FFIpGsbjaee+65eu655xw/77e//a0uuugi5hngA/qkO/RJAMgOfRIIP/qkO/RJAMhObW0tfRIIOfqkO/RJAMhOc3Ozurq6su6TktTZ2en4JuT0ScA/9El36JMAkJ2Ojg51dHQM6hj0ScBs9El36JMAkJ2Ojg61t7cP+hhOb+JInwT8Q590hz4JANlpb29Xa2vroI5BnwTMRp90hz4JANlJ9slsv3cyEolo6dKluuWWWwb8PPok4B/6pDv0SQDIXnV1tWpra5VIJLL6+qOOOkrvvvuu4+fNnz9fa9as0fHHH5/VeQDkFr3THXonAGSvoaFBjY2NWd/LnDx5srZu3Trg53AfEzAffcrZmjVrJIl/PwNAFuLxuKqqqtTV1ZX1Mdz01UgkwjwDDEafcsb9YAAYnG3btqmpqSnrr1++fHmfNw3vLblfnz17dtbnwb4jLy9PeXl5fl/GPoU+5Q73gwEge1VVVWpsbMz6+zonTZqkbdu2Dfg57NcB89GnnHE/GACy193drbfffntQ9zrd9FX264DZ6FPOuB8MhFdtba0sy9KoUaNS9+IikYgikYhjz0kkEmpvb1dJSckQXW1wbdiwQevWrcv6Xufjjz+uSy+9dMDPmT9/vrZu3co8AwxFn3JnX70f3NLSoqKiIp122mkaM2aMotGo35cEA8ViMTU1NamsrEzRaFSNjY2Kx+OSpGg0KsuyBnwdSGNj41BdKnzS0dGh119/XfX19ZLs/y6S/424cemll2r58uUDfs7bb7+tVatWMc9gtLq6un4/nvy3bu+/LwsLC1VcXKwRI0aosLBQVVVVmjx58lBdruf21T6VicHeD548ebIikYiXl4QQqqqqUmFhoSZOnKjW1la1tramvd43EokoGo0qkUj02+Hq6uo0fPjwobxkICOrVq3S/PnzNWfOHB166KF7/bybbrpJP//5z10ds7u7W9FoVB988IEk+57qiSeeqKKiIk+uGWZy+rdq731Ffn6+SktLNWbMGDU1NWnUqFEqKCgYiktFDybu16PRqMrLy1VeXq7DDz9ciURC9fX1qqmpUUtLi0aMGDGk18P9YADITkFBgQoKClRSUqKPPvpIBxxwgJYsWTLg1zz99NO67LLLMj5Xc3Oz3n//fVmWNWCnha29vd3198pK9nOrotGoSktLZVmWamtrNWHChFxfJkKEPuUO94ORK14+t8PpfaXd4n4pBiv533VRUZHGjBkjyZ43H374oTZt2uT49dnuhpqbm/Xee+/ptNNOc/xzVVhYmNU5BsKfHWBg9ClnJt4PBoCgWbVqlVasWKELL7xwwM+bPHmytm/fnvHxu7u7VVlZqcmTJ2vcuHHZXiaAHKFPOeN+MAC4E4lEVFxcrOLi4j6/tmbNGh1zzDF65plnBjzGvffe6/gs+L1pbm7Wtm3bNGPGjKy+HkDu0Kfc4X4wADiLRqMaPnx4v3vm5LzZ2+t3e8p2v97V1aWqqiodfPDBys/Pz+oYAHKHPuWM+8EAMLBoNKrCwkKVlZXt9XNWrVqlX/3qV4779YMOOsjxPYj6Y1mWGhsb1dDQoLFjx2b89QByiz7ljPvBADCwge5xJq1Zs0bHH3+84379P//zP3X++edndR1dXV2qq6vThAkTeG9twDD0KXe4HwwAe+emcybnjZv3wxw5cqRaWloyvg7LstTR0aGmpiaVl5dn/PUAcos+5Yz7wQAwMKfOKdnz5sEHH3Tcr99444366U9/mtV1JO91sl8HzEOfcsb9YAAYWPI166NHj97r57jdr69bt04zZ87M6jq6u7vV3Nysrq6unDyLE0D26FPucD8YAPoXiURc3edMzhs3e/PS0lI1NzdnfC2WZSkej6u1tdWz90sA4B36lDPuBwPA3hUVFamoqGjA165L9rx5+OGHHffrt99+u5YuXZrVtSTvdcbjcd5fGzAMfcoZ94MBoK/kM+BHjhzp6vPd7tclaerUqdq8eXPG12RZlrq6utTQ0KCSkpKMvx5A7tCn3OF+MACkKywsVGFhoev3HE/Om46ODsfPfeihh3T11VdndV2JREK1tbUaP368otFoVscAkBv0KWfcDwaAdJFIJNU7Jbl6vfiqVav02GOPOe7XGxsbB3xNkpPm5mZ1dHRwrxMwDH3KGfeDAWDwkvOmt72+Y6WbRTwAb/32t7/VRRddxJ8/B5FIRDfeeKPjP6IBAP1Lzpsvf/nLevnll10/pL2hoSGj8zDPgKFHn3SHPgkAg0OfBMKLPukOfRIABifbPllfX5/ReZhnwNCjT7pDnwSAwUnOm5tvvllPPfWUdu3aJcuyXH1tS0uL48Mzk5hnwNCjT7pDnwSAwUnOm3vvvVf333+/Nm7cqEQi4epr6ZOA2eiT7tAnAWBwkvNm2bJleuCBB/Tpp5+67pPNzc2u38SReQYMPfqkO/RJABic5LxZvHixHn30UW3dupU+CYQEfdId+iQADE5y3tx33326//779cknnygej7v62ubmZtfnYZ4BQ48+6Q59EgAGJzlv1q9frzvvvFMvvviimpqaXH2t29eCS3L95uIAhh690x16JwAMTnLe1NbWatGiRXrmmWdUWVnp6mvdvGF4EvMMMBd9ytn8+fMl8XcZAAxGJBLRb37zG+3evVv33XefNm3apO7ubk/PwTwDzEWfcsb9YAAYvOS8ufrqq7V06VKtWbNG7e3trr52586drj6P/TpgLvqUO9wPBoDBSc6btWvX6u6779bLL7/s+j0e3XZTiXsogMnoU864HwwAgxeJRPTjH/9Y77zzjl588UXV1NR4fg7mGWAu+pQz7gcD+4ZYLKZ169bpzTff1Nq1a/W3v/1Nn3zyibq7u1VYWCjLshSLxdK+5tZbb9Upp5zi0xUHy/z58xWPx3XOOefoySef1FtvvaXW1lZXX7t9+3ZXn8d+HTAXfcod7gcDmdmxY4fWrVun9957T+vWrdM777yjjz/+WLFYTJFIRMOGDVMsFlN3d7c6Ojr0+OOPq6SkxO/LRg4l582LL76ol156Sf/1X/+lDz74QJJUUFCgrq6ufr8uHo+rurra9XmYZzDZd77zHf3973+XJOXn52v8+PGaMmWKpk6dqilTpmjy5MlpP4qKiny+Ym/Rp5wN9n5wXV2dJLl+r14gqaOjQ9u2bUv7sWXLFm3atElbtmxRZWVl6vnZxx57rFasWOHzFQN7F4lEXH1eVVXVgM+FLywsVDweVyKR0IQJE3TOOedo7ty5uvDCC/XLX/6SeRZybW1tGjFihCT7v6n8/HzF43FZlqWCggJNmzZNn//85zVz5kwdddRRmjFjhiZOnOjzVUNiv+4G94MBYPCS88bJ1q1bXR+zoKBARx55pL761a9q7dq1GjZsGH9Xu/Taa6/pT3/6U9rH8vLyFI1GFYvFlJeXp6lTp+rkk0/W7Nmzdeyxx2rGjBkqKCjw6YoRdPQpd7gfDACDk5w3XhsxYoSOO+44nXjiiVq8eLHq6+s9PwcAb9CnnHE/GAAGz+1+va2tzfUxi4uL9fnPf14/+MEPNGfOHD3xxBPMM8BQ9Cln3A8GgMFzu193+1p1yX4txhFHHKGbbrpJzz33nCTmGWAq+pQ73A8GgMHJxX49Eolo/PjxuuSSSzRr1ixdccUV2rVrl6fnAOAd+pQz7gcDwOC53a9n8h5Eo0aN0ty5c3XPPffooIMO0iOPPMI8AwxFn3LG/WAAGDy3+/WqqirXx4xGo5o6daquv/56vfLKK4pEIvxdDRiKPuUO94MBYHAy2a/v7Vnx/SktLdXcuXM1Z84cfetb31JtbW22lwggx+hTzrgfDACDl8nz4d0qLCzUzJkztXjxYp1zzjm8fh0wGH3KGfeDAWDw3O7Xm5qaXB8zEono4IMP1te//nW99957ikaj/F0NGIo+5Q73gwFgcHK1Xx89erTOPvtsnXTSSfrmN7+pmpqabC8RQI7Rp5xxPxgABs/tfj2T78vMy8vTIYccohtvvFHXXHONnnzySeYZYCj6lDPuBwPA4Lndr0tSa2ur688tLi7WCSecoEgkotGjR/N3NWAo+pQ73A8GgMHJZL+eyfd1Ju91nnLKKXrggQcyes4ngKFFn3LG/WAAGDy3+/Xm5uaMjjl27Fh97Wtf0/3336+nn36aeQYYij7ljPvBADB4e9uvR4f4OgAAAGCIP/7xj2publZ9fb1uvfVWHXTQQQPq2yj2AAAgAElEQVTeqGxsbBzCqwMAAIDpevfJiRMn0icBAADgWqb3JzN5wQ4AAADC79/+7d9UUVGhtrY2PfLIIzrmmGOUn58/4Ndk8oIcAAAAhNsNN9ygjz/+WN3d3XrxxRc1Z84cFRcXD/g19EkAAAAk3XLLLdq4cWNanywpKRnwa+iTAAAASFq4cKE2b96s7u5uvfDCC676JN9DCQAAgKRvf/vb+uCDDxSLxfTqq6/qy1/+skaMGDHg1/AabwAAACRNnz5dq1atUmNjozo6OrR48WJNmzZN0ejeH1HOGysCAAAgU2VlZVqxYoV27doly7L09NNP65hjjlFBQcFev6azs3MIrxAAAABBF41G9e1vf1sff/yx4vG43nzzTZ1zzjkqLS31+9IAAAAQImeccYZefvlltbW1qba2Vtdee63GjRs34HPUKysrh/AKAQAAEHTHHHOMfve736m+vl6xWEwrVqzQ9OnTlZeXt9ev6ejoGMIrBAAAQNBNnjxZTz31lKqrqxWPx/XEE09o9uzZGjZs2IBfx+uJAABAWBQUFGjWrFm65ppr9NBDD+nDDz9UU1OTVq9eraVLl+prX/uaJk+enPY1mzdv9ulqgyk/P19XXXWVXn31VbW0tOiDDz7Qt771LcfXsO/atWsIrxIAAATFxIkTNW/ePN1yyy164okn9P7776utrU3r16/XypUrdcstt+i8887TpEmTFIlE9NFHH/l9yRgic+fO1dKlS/X+++9r165d+s1vfqMFCxbo4IMPlmS/1qjna9kTiYQqKir8ulzAUxdeeKFef/11VVRUqLOzU9u3b9fq1av12GOPadGiRfrGN76huXPn6tBDD1VRUZHfl4sAKisrU1lZmd+XgQAqKirSoYceqrlz5+ob3/iGFi1apMcee0yrV6/W9u3b1dnZqYqKCr3++uu68MIL/b5cwBO7du1SIpFI/TwvLy91H3Ty5MlasGCBnnrqKVVWVmrHjh361a9+pfnz5/t1uRhiH330kSKRiCZNmqSvfOUruv3227Vy5UqtX79ebW1t+vDDD/XrX/9at9xyi+bNm6eJEyf6fckAAMBAVVVVe/21aDSqadOmpd63qKurS++8844WLlzo+H2hSNf7e0MmT56s+fPna9myZVq9erWampr08ccf66GHHtI111yjWbNmDfg8VQAAgCBxes1QYWGhjj76aD3yyCOKx+Nqbm7WSy+9pCOPPHKIrhAAAABhMNB7EEWjUR100EG688471dnZqba2Nq1evVpf+tKXhvAKAQAAEHQD7dclacyYMbrooou0a9cuxWIxvfvuu/r6178+RFcHAACAfUFRUZGOO+44vfDCC0okEtq5c6eWL1+uwsJCvy8NAAAAAdLV1bXXX0u+lmjx4sVKJBJqaGjQqlWr+jxDFQAAABjI7t27B/z14cOH6+yzz9b69evV3d2tTz75RN/61rcGfP92AAAAoLd4PL7XX4tGo/rMZz6jH/3oR4rFYmpsbNTvfvc7lZeXD+EVAgAAIOic7nWWlZXp0ksv1c6dO9XZ2am33npLZ5999hBdHQAAAMKgubl5wF8fNmyYTjzxRP31r39VIpHQpk2b9P3vf3/A928HAAAAenOzX7/77rvV3d2t+vp6PfXUU9pvv/2G8AoBAAAQdA0NDQP+eklJic466yy99tprisfjWr9+vf75n/95iK4OAAAAYTHQ+2FGIhGNGzdO1113nZqbm9XW1qaXXnpJo0ePHsIrBAAAQNA5vS9RSUmJzjjjDL3zzjupe51z5swZoqsDAABAGDi9ligvL09HHHGEHnjgASUSCVVVVekXv/jFEF0dAAAAgijf7wsAAACAv0aPHq2lS5dq6dKlkqRf//rXWr58uT744IO0F5k3NTX5dYkAAAAwGH0SAAAAg+G2TzY2Nvp1iQAAADBYUVGRFixYoAULFkiS3nzzTf3whz/UK6+8opaWlrTP5R4lAAAA+jN37lzNnTtXkv3goO9973t67rnnVFNTk/Z59EkAAAD0p3efvOOOO/Tss8/SJwEAAODK6aefrtNPP10SfRIAAACZO/XUU3XqqadKsvvksmXLtHLlSu3atUuWZUmSLMuiTwIAAKBfw4YN08KFC7Vw4UJJ0p///GctXrxYb7/9tjo7O1Of19HR4dclAgAAICQuueQSXXLJJZKkjz76SLfeeqteffXVtHuXXV1dfl0eAAAAQmD27Nl6/vnnJUltbW36/ve/r//4j/9QRUVFan8uSe3t7SouLvbrMgEAABBgZWVluv/++3X//fdLkp566iktX75c69atUywWS31e79cEAQAAAG7l5+fruuuu03XXXSdJeu+993THHXfotddeS9uv9+yfAAAAQCby8vJ0xRVX6IorrpAkNTQ06F//9V/1hz/8QTt37lQikUh97saNGzVz5ky/LhUAACCnSkpKdNJJJ+mkk05Kfayurk5r167V2rVrNWbMGB+vLviOOOII/fznP5dkP/vo+eef16OPPqrVq1dr9+7dqc+rqqry6xIBAEDA5Ofna/r06Zo+fbrmz5+f+nhbW5uPVwU/jRs3ThdddJEuuugiSVJFRYVeeeUVvfzyy3rhhRdUUVEhSaqsrPTzMgHP9Pz3KwAESTQa1YEHHqgDDzzQ70sBPNOzY06YMEFnnHGGTjvtNH3pS1/ShAkTfLwymGD69Olqbm5WSUmJ35cCAAACrPcuvby8XCeffLIWLFigc889V5FIxKcrC5cxY8ZoyZIlmj17tmbPnq2ysjK/LwkAAGDIbNy4Me3nkUhEEyZM0Pnnn6/Fixdr9OjRPl0ZAAAAwqT3M5JKS0t1yimn6K677tJRRx3l01UBAAAgTHq+bl2SCgoKNGPGDN1000267LLLfLoqAAAAhEl7e3vaz5P79Ysvvlg/+MEPeP0IAAAAPNHV1ZX289LSUn3xi1/UsmXLNH36dJ+uCgAAAGFSV1eX9vNoNKqDDz5YV199ta6//noVFRX5dGUAAAAIi0QikfYemJI0YsQInXLKKfrRj36kz372sz5dGQAAAMKkoaEh7ef5+fk64ogjdOONN+rKK6/056IAAAAQKs3NzWk/j0QiOuCAA3TxxRdr4cKFPKsTAAAAnuhvv37yySfr7rvvZr8OAAAATzQ2Nqb9PBKJ6KCDDtKCBQt0/fXXa9SoUT5dGQAAAMKk9/sSFRYW6uijj9add96p8847z6erAgAAQJjU1NSk/Tx5r/PKK6/UrbfeynOTAAAAMGgtLS19PjZ69GideeaZ+tGPfqTPfOYzPlwVAAAAgizf7wsAAACAWa644gpdccUVkqSPPvpI3/ve9/Q///M/2m+//Xy+MgAAAAQBfRIAAACD0bNPfvzxx7rjjjv00ksvqby83OcrAwAAQBAce+yxevbZZyVJtbW1uvfee/XEE08oHo/3ecg6AAAA0Nu4ceP08MMPS7LfpOeBBx7Qfffdp4qKCvokAAAAHI0bN04PPfSQJLtPPvzww1qxYoV27Nghy7J8vjoAAACYjj4JAACAwRg3bpzuuece3XPPPUokEnr66ad13333acuWLTrkkEP8vjwAAAAEwLx58zRv3jxJ0u7du3X77bfr2Wef1bBhw3y+MgAAAITJ9OnT9cc//lGSFI/HtXTpUj3yyCPq7Oz0+coAAAAQFiUlJfrxj3+sH//4x5KkF198UYsWLdI777yjiooKTZs2zecrBAAAQBhcdtlluuyyyyRJFRUVuu222/TnP/9ZpaWlPl8ZAAAAwuKoo47Sc889J8l+7fny5cv18MMPq6mpyecrAwAAQFiMHj1aK1as0IoVKyRJf/vb37Ro0SKtWbNGu3fv9vnqAAAAhlZ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CAMXoye70pJ4EAMrTlp10pa4EAPqnM7vTmloTAKiW7uykOTUnAFAtzdmd7tSdAEB1NGd3mlNzAgDV0p2dNKfmBACqpTm70526EwCojubsTnNqTgDy6YhOGkJDADA1/dBJP+gHAOiFrupOW2krAGgCrded1tN6AMAYvdidXtSLAEAxerI7PaknAYDeaczuNKbGBAD6pzW705paEwCoht7sTm/qTQCgOpqzO82pOQGAaunOTppTcwIA1dKc3elO3QkAVEdzdqc5NScAUC3d2Ulzak4AoFqaszvdqTsBgOpozu40p+YEAKqlOztpTs0JAJXIAKDGli9fnjldURdV/T7+6le/yiIiW7RoUZZlWXbvvfdmz3jGM7KIyM4444zsl7/8ZXbFFVdkEZHttdde2caNG7Nvfetb2dy5c7OIyN7znvdk3//+97OvfvWr2VZbbZVFRLZixYosy7Js4cKFHfv49Mee+trjvvGNb2Tz5s3LvvnNb/b974uIbPny5YW//vDDD89GRkayJ554YtKvWb9+ffb85z8/u+KKK3rer6uvvjrbf//9s4jIdtttt+yLX/xiz9vKsu7fx16sWbMmO+OMM7LR0dEsIibdr6Kvt2LFimzu3LnZD3/4w46/u/nmm7OIyP7u7/6u1D4uWbIkW7JkSannwKD4faROqvh9bHoX9NJP2qD+bVC29wCGzfgSdWJ8qRjjS+Wk0JDezwMp0I2kqIpxmqa3ZS8doi/r3ZeO10BdOT6RIj2ZT0+WpycBeuP4RIr0ZD49WZ6eBOiN4xMp0pP59GR5ehKgN45PpEhP5tOT5elJgP75HCGp8bnvYnzuu5y6d2WWOV4DaXLfM1LjPpX53KeyvBRa0/EaSJn3y6TG+GYxxjfLSaE5Ha+BlLn+hxS5XjOf6zXLq3t3Ol4DqTNfQ2rMr+czv15e3Ztz/LUdr4FUma8hNebXizG/Xk4Kzel4DaTMfA0pMr+ez/x6eXXvTsdrIHXma0iN+fV85tfLq3tzjr+24zV1Yvyd1JgvLcZ8aTkpNITjNXXi95HU6Idi9EM5+gGoivFCUmN+J5/5nfJSaCvHa6As1yOSIteP53P9eHl1bz3Ha2BYHH9IkV7MpxfL04sAvXF8IkV6Mp+eLE9PAlTL9TGkxvWM+VzPWF7dG3P8tR2vgZR4f0yKjGfmM55ZXt1b0/EaSJXjFynSm/n0Znl6E2CwzM+QGvPp+cynl1f35hx/bcdrIFXuH0tq3O+7mLJ9ojnr35yO10DKzNeQIvPr+cyvl1f37nS8BlJnvobUmF/PZ369vLo35/hrO14DqTJfQ2rMrxdjfr2cFJrT8RpImfkaUmR+PZ/59fLq3p2O10DqzNeQGvPr+cyvl1f35hx/bcdrIFXma0iN+fVizK+Xk0JzOl4DkIIZAQDAtFqwYMGEP++0006x0047RUTEKaecErvsskscccQRseOOO8aPfvSjmDFjRrz+9a/f9LxPfepTsd9++8Xhhx8ep59+ekREnH/++RERscUWW3S8XrfHnm7x4sWxdu3aeMMb3tDXv60XK1eujGc+85kxOjo66ddccskl8e53vzuOOOKInl/nla98Zfz93/99XHDBBXHffffF0UcfHV/+8pd73l5Vtt566zjllFPiwgsvjIiIz33ucz1va+PGjXHKKafEJZdcEnvuuWfH3++4444REfHv//7vPb8GANXSBZ20gTYAAPLpyIk0pIYEAHqnLTvpS30JABSnJzvpST0JABSnJzvpST0JABSnJzvpST0JABSnJzvpST0JAPRGW06kK3UlAFANndlJa2pNAKB6unMizak5AYDqac5OulN3AgDV0pydNKfmBACqpzsn0pyaEwConubspDt1JwBQLc3ZSXNqTgCK0RETaQgNAUA+/TCRftAPANArXdVJW2krAGgKrddJ62k9AGAzvdhJL+pFAKA4PdlJT+pJAKA/GrOTxtSYAEA1tGYnrak1AYDq6M1OelNvAgDV0pydNKfmBACqpzsn0pyaEwConubspDt1JwBQLc3ZSXNqTgCgerpzIs2pOQGA6mnOTrpTdwIA1dKcnTSn5gQAqqc7J9KcmhMAqjBj2DsAAEDEyMhIx2PPetaz4vHHH9/05xkzxtJt3rx5mx5bvHhxRET89Kc/7XsfZs6c2fc2evGb3/wmnvWsZ035NT/72c/ihBNO6Ot15s+fHy984Qvj3e9+d3z+85+PiIjLLrusr21W6eijj465c+fGnXfe2fM2PvGJT8SBBx4Yb3rTm7r+/fz58yMi4r777uv5NQAYvDZ3QYQ2GKcNAICy2tyRGnKMhgQAqtLmtozQl+P0JQDQKz2pJyP0JADQOz2pJyP0JADQOz2pJyP0JADQOz2pJyP0JABQjTa3pa4coysBgEFoc2dGaM1xWhMAGLQ2d6fmHKM5AYBBa3NzRujOcboTABgkzak5IzQnADB4be5OzTlGcwIAg9bm5ozQneN0JwAwSJpTc0ZoTgB60+aO0BBjNAQAZekH/aAfAKAabe6qCG01TlsBQDNpPa0XofUAgMnpRb0YoRcBgN7pST0ZoScBgGppTI0ZoTEBgMHQmlozQmsCAIOjN/VmhN4EAAZLc2rOCM0JAAxem7tTc47RnADAoLW5OSN05zjdCQAMkubUnBGaEwAYvDZ3p+YcozkBgEFrc3NG6M5xuhMAGCTNqTkjNCcAMHht7k7NOUZzAkB/Roe9AwAA9O65z31uREQsWLBgyHvSu5kzZ8bGjRsn/ftHH3009txzz0pf841vfGNERMyaNavS7fZjxowZsc0228T222/f0/O/9a1vxZZbbhknnXTSpF/TbTAVgOZoQhdEaINx2gAAmC5N6EgNOUZDAgDD1oS2jNCX4/QlADDd9GTv9CQAgJ7sh54EANCT/dCTAAB6sh96EgBgoia0pa4coysBgDppQmdGaM1xWhMAqKsmdKfmHKM5AYC6akJzRujOcboTAKgjzdk7zQkAUFwTulNzjtGcAEBdNaE5I3TnON0JANSR5uyd5gSg7ZrQERpijIYAYLroh97oBwDg6ZrQVRHaapy2AgCeSuv1TusBAG2gF3unFwEA9GQ/9CQAQHcas3caEwBgalqzd1oTACCf3uyd3gQAKEZz9k5zAgAU14Tu1JxjNCcAUFdNaM4I3TlOdwIAdaQ5e6c5AQCKa0J3as4xmhMAqKsmNGeE7hynOwGAOtKcvdOcAADFNaE7NecYzQkA/Zkx7B0AAKB3v//97yMi4tWvfnVEbB7EWL9+fUREZFkWa9asmfCckZGR2LBhQ8e2phpoGqTnPOc58eCDD07693Pnzo3DDz+80tdcvXp1RES87nWvq3S7/Vi1alWsWrUqDj300NLPve666+Lee+/tGOBauXLlhD//4Q9/iIiIZz/72b3vKAC11YQuiNAG47QBADBdmtCRGnKMhgQAhq0JbRmhL8fpSwBguunJ3ulJPQkA6Ml+6Ek9CQDoyX7oST0JAOjJfuhJPQkATNSEttSVY3QlAFAnTejMCK05TmsCAHXVhO7UnGM0JwBQV01ozgjdOU53AgB1pDl7pzk1JwBQXBO6U3OO0ZwAQF01oTkjdOc43QkA1JHm7J3m1JwAbdeEjtAQYzQEANNFP/RGP+gHAHi6JnRVhLYap60AgKfSer3TeloPANpAL/ZOL+pFAEBP9kNP6kkAoDuN2TuNqTEBgKlpzd5pTa0JAOTTm73Tm3oTAChGc/ZOc2pOAKC4JnSn5hyjOQGAumpCc0boznG6EwCoI83ZO82pOQGA4prQnZpzjOYEAOqqCc0ZoTvH6U4AoI40Z+80p+YEAIprQndqzjGaEwD6M2PYOwAA0DYPP/xwRESsXbt202OPPfZYx9c99NBDEREdA1JPHYy6/vrr42Uve1m84x3viIiIRYsWRUTEJz/5ybjrrrvivPPOi8cffzwiIq699tp48sknY+HChbF69eq45557Nm3n29/+dsyfPz/+9V//tYp/YikHHHBAPPTQQ5u+L093/PHHx+tf//qOx5ctWxYvetGL4h/+4R+m3P4555wTl1xyyabBvscffzxOOumkWLp0aRx33HGltjXu0UcfjYjuA4NFtnXaaafFe9/73rj99tsjYuznf+yxx8YhhxwSH/7wh0u93ne+85341Kc+FRs3bowLL7wwLrzwwrjgggvife97X1xzzTUTvvZ3v/tdRET8xV/8RaF/JwCDpws6aQNtAADk05ETaUgNCQD0Tlt20pf6EgAoTk920pN6EgAoTk920pN6EgAoTk920pN6EgAoTk920pN6EgDojbacSFfqSgCgGjqzk9bUmgBA9XTnRJpTcwIA1dOcnXSn7gQAqqU5O2lOzQkAVE93TqQ5NScAUD3N2Ul36k4AoFqas5Pm1JwAFKMjJtIQGgKAfPphIv2gHwCgV7qqk7bSVgDQFFqvk9bTegDAZnqxk17UiwBAcXqyk57UkwBAfzRmJ42pMQGAamjNTlpTawIA1dGbnfSm3gQAqqU5O2lOzQkAVE93TqQ5NScAUD3N2Ul36k4AoFqas5Pm1JwAQPV050SaU3MCANXTnJ10p+4EAKqlOTtpTs0JAFRPd06kOTUnAFRhdNg7AADQJuvWrYszzzwzIiJWrVoV55xzTqxfvz7uvvvuiIg444wz4j3veU9ceuml8etf/zoiIj72sY/Fqaeeumkb5557bhx11FHx5JNPxurVq+OGG26I0dGxrDvrrLNi1apVcfbZZ8dNN90UF1xwQXz961+PXXfdNR588MHYsGFDHHroofGlL30p/vu//zsWLFgQERGzZ8+OrbfeOmbPnj2N340xRx55ZFx88cWxcuXKeM1rXtPx94899ljXQcCf//zncfvtt8cHPvCBeNOb3jTp9teuXRuf+9znNn3drFmz4rjjjosDDzyw9LYiIr73ve/FlVdeGRERd999d3z605+Ogw46KF760pcW3tYuu+wSV199dVx88cXxxje+MebMmRNHH310/NVf/VWp11u5cmUsXrw41q1bF//2b/824XkjIyNx1113TXhsxYoVMXPmzDjssMOm/DcCMD10QXfaQBsAAFPTkZ00pIYEAHqjLbvTl/oSAChGT3anJ/UkAFCMnuxOT+pJAKAYPdmdntSTAEAxerI7PaknAYDytGUnXakrAYD+6czutKbWBACqpTs7aU7NCQBUS3N2pzt1JwBQHc3ZnebUnABAtXRnJ82pOQGAamnO7nSn7gQAqqM5u9OcmhOAfDqik4bQEABMTT900g/6AQB6oau601baCgCaQOt1p/W0HgAwRi92pxf1IgBQjJ7sTk/qSQCgdxqzO42pMQGA/mnN7rSm1gQAqqE3u9ObehMAqI7m7E5zak4AoFq6s5Pm1JwAQLU0Z3e6U3cCANXRnN1pTs0JAFRLd3bSnJoTAKiW5uxOd+pOAKA6mrM7zak5AYBq6c5OmlNzAkAVRrIsy4a9EwAwma997WuxdOnScLqiDob9+/jCF74wbr/99tr//2FkZCSWL19eaiDl9a9/ffzxH/9xnHPOOaVe64AvPKgAACAASURBVM4774wjjzwybrzxxrK7mcy2qrR48eJ49rOfHRdddFGp5x166KEREXHVVVcNYregFL+P1Mkwfx9T6YJe+0kbTI9e26CX3gMYpmG/n4enGvbvYyodaXypeQ3p/TyQgmGfp6EXwxynSaUte+0QfTk9eulLx2ugrhyfSJGezKcnq99WlfQk0CSOT6RIT+bTk9Vvq0p6EmgSxydSpCfz6cnqt1UlPQk0ieMTKdKT+fRk9duqkp4EmsrnCEnNsM+vqbSlz303qysjHK+BNLnvGalxn8p87lNZ/baq5D6VQBt5v0xqjG8WY3yzec3peA2kbNjnb+iF6zXzuV6z+m1VyfWaQBuZryE15tfzmV+vfltVMr8OtJH5GlIz7PGeVLrT/HrzmtPxGkjZsM/f0Avz6/nMr1e/rSqZXwfayHwNqTG/ns/8evXbqpL5dZrC+DupGfb791Q6wnxp8xrC8Zo68ftIavRDMfpBPwDDYbyQ1JjfyWd+p/ptVcn8DjBdhj0eAb1w/Xg+149Xv60quX4cSInjDynSi/n0YvXbqpJeBJrE8YkU6cl8erL6bVVJTwJt4PoYUuN6xnyuZ6x+W1VyPSPQFt4fkyLjmfmMZ1a/rSoZzwTaxPGLFOnNfHqz+m1VSW8CbWR+htSYT89nPr36bVXJfDrQRu4fS2qGPd6TSne633fzmtPxGkjZsM/f0Avz6/nMr1e/rSqZXwfayHwNqTG/ns/8evXbqpL5daCNzNeQmmGP96TSnebXm9ecjtdAyoZ9/oZemF/PZ369+m1Vyfw60Ebma0iN+fV85ter31aVzK8DbWS+htQMe7wnle40v9685nS8BiAFM4a9AwAAcOmll8Y111wT9913X+HnrFu3Ls4///z44he/2Pfr13VbVbrpppvizjvvjGXLlg17VwAglzYYPG0AADSNhhw8DQkAtIm+HDx9CQA0mZ4cPD0JADSZnhw8PQkANJmeHDw9CQA0mZ4cPD0JALSBrhw8XQkAtJXWHDytCQC0neYcPM0JAKA7p4PuBADaTnMOnuYEANpOcw6e5gQA0J3TQXcCAG2nOQdPcwLQRBpi8DQEAE2jHwZPPwBAe2irwdNWAMCwaL3B03oAQMr04uDpRQCgyfTk4OlJAKBtNObgaUwAoK205uBpTQCgzfTm4OlNAKDtNOfgaU4AoO005+BpTgAA3TkddCcA0Haac/A0JwDQdppz8DQnAIDunA66EwBoO805eJoTAGg7zTl4mhOAppsx7B0AgKr99re/jauuuirOPPPMaXvNtWvX9vS8NWvWVLwnzeT7O+aRRx6Z8L9NssMOO8Q//dM/xYknnhjr1q0r9Jyf//znceaZZ8buu+/e9+vXdVtVWb16dZxxxhlx/fXXx1ZbbTXs3YFppw02+8UvfhGf/exn49Of/nTcddddA32tQarr93c6NbkLIrTBoGkDgHwasnl8f8c0uSM15GBpSIDudGM7+RmMaXJbRujLQdOXAGP0ZG9SnuuOaMbPoAp6slNdG1BPAtSXnmwnP4MxerJTXRtQTwLUl55sJz+DMXqyU10bUE8C1JeebCc/gzF6slNdG1BPAqRBW7aTn8GYJrelrhwsXQmQT2e2k5/BmCZ3ZoTWHDStCVCO7mwnP4MxTe5OzTlYmhOgHM1ZjvV4hv8zqFKTmzNCdw6a7gQoTnO2k5/BGM3Zqa6dqDkB0qc728nPYEyTu1NzDpbmBChHc/Ym5bn1iGb8DKrQ5OaM0J2DpjsBitOc7eRnMEZzdqprJ2pOqCcd0Sn1caki6v4zmC5N7ggNMVgagrbTD530w+T0Qzr0w2DpB6AbXdVJV01OV6VFWw2WtgJSoPU2a8q914qo689gumm9TnXtM60HMDx6cTO9mE8vpkUvDpZeBBijJzcr0pNNac66/gymm57sVNcG1JMAadGYmzWlH4uo689gumnMTnXtQo0JkCat2U5+BmO0Zqe69qHWBEiX3uxN6mOfTfgZVEFvdqprI+pNgLRpznbyMxijOTvVtRM1J0D6dGc7+RmMaXJ3as7B0pwA5WjOdvIzGNPk5ozQnYOmOwGK05zt5GcwRnN2qmsnak6A9OnOdvIzGNPk7tScg6U5AcrRnO3kZzCmyc0ZoTsHTXcCFKc5y2nKPeNT/hlUSXN2qmsnak6A9OnOdvIzGNPk7tScg6U5AWiDGcPeAQCo0u233x6nnXZaHHbYYXH55ZcP9LU2btwYZ511Vuy3336x7bbbFn7e448/HmeeeWa84hWvKPW8om699dY45JBDYrvttovtt98+Dj/88Fi9enWpbXzve9+Lww47LEZGRmJkZCTe+c53xn/+539Wvq9Tqev3dxgeeeSR+MhHPhL33HNPREQcf/zxceONNw55r6q3++67xxlnnBEXXnhh4a+vasCmrtuqwoYNG+Kyyy6Lr3zlK7HzzjsPe3dg2mmDMQ899FC85z3vide85jXxkpe8JD74wQ/G85///MLP1wb10ZYuiNAGg6INAPK1vSEffPDBeNe73hWnnnpqnHjiiXHUUUeVHluK0JB105aO1JCDoSEBumt7N0ZErFq1Ki699NJYunRpvOIVr+j6NRdffHHsueeesdVWW8Uee+wRl156aenX0Zb10pa2jNCXg6IvAcboyWI9ecEFF2zqwPH/zjvvvFKvoyfrRU9O/fV1bEA9CVBPerJYT15++eWxePHiOPnkk+NVr3pVvOtd74oHH3yw1OvoyXrRk1N/fR0bUE8C1JOeLDaXXaQ58+jJetGTU399HRtQTwLUk54sf23k+eefHyMjI6VfR0/Wi56c+uvr2IB6EqD+tGV+W77yla/suI5y/L+f/exnhV9HW9ZLW9pSVw6GrgTIpzOL3Zv6kksuicMOOyw++tGPxjHHHBNXXnll6dfRmfXSls6M0JqDojUBytGdxbrTuim6M1WaczA0J0A5mrN4T1qPR3OmSncOhu4EKE5z5jen9Xs0Z+o052BoToBydOdEk33u3No+ujNVmnMwNCdAOZpzosma0/o/mjNlunMwdCdAcZpzosma0xpBmjNlmnMwNCfoiIhi41LWhtERqdIQg6EhaDv9UH5ey1og+iEl+mEw9APQja7K7yrrYOiq1GmrwdBWQAq03pi8e69Zi0LrpUzrDYbWA9pCL47J60VrSOjFlOnFwdCLAGP05Jgiaz9YH0JPpkpPDoaeBJicxhwzVT9aD0Jjpk5jDobGBMjX9tYs+rkYa0BozZRpzcHQmgDF6M1ivWn9B72ZMr05GHoToDjNWaw5rf+gOVOmOQdDcwKU0/bujCjWlNYL0Z2p0pyDoTkBytGc5ccxrTGjOVOjOwdDdwIUpznzm9P6O5ozdZpzMDQnQDlt786i90CyFpDuTJXmHAzNCVCO5izWnNYT0pwp052DoTsBitOcxe/1bs0hzZkqzTkYmhOgHN2Z353WIdKdKdOcg6E5AWiLkSzLsmHvBABM5mtf+1osXbo0ypyuHn/88ZgzZ04sWrQobrvttgHuXcRjjz0WO+20UzzwwAOl9rHX5+W57bbb4iMf+UgceeSRseuuu8bZZ58dl19+eRx44IFx/fXXl9rWo48+GvPmzYvnPe95cffdd1e2j2XU7fvby+9jG42MjMTy5cvjsMMOG/auUJFDDz00IiKuuuqqIe8J9Pb72OY2iIi4//7747WvfW08/PDDsWLFithuu+162o426OT4mE8/NZPeA1JjfKncvuyxxx7x1re+NU4++eSIiLj44ovjox/9aPzgBz+I5z73uaW2pyE76aNi9EbzeP8EpEA39uaee+6JXXbZpev34OSTT45777039tlnn7jzzjvjoosuikcffTTOP//8OO6440q9jrbsTjfl0yHN430VUFd6sjdT9eSGDRvigAMOiMWLF296bHR0NI488sjYfvvtS72OnuxOT+bTk82jJ4G60pO9maonP//5z8c73/nOuOaaa+Iv//Iv49Zbb40XvehFccghh8TVV19d6nX0ZHd6Mp+ebB49CdSVniynzFz2VM1ZlJ7sTk/m05PNoyeButKT5ZS9NvJ//ud/4oADDoh169b1tB96sjs9mU9PNo+eBFLgvkDl5LXlbbfdFkcccUQcccQRE+4XdNNNN8WKFSvilltuKfV62rKT82sx+rt5vF8AUlT2fNTmzixyb+rTTz89Lrnkkrj55ptj/vz58eCDD8aee+4ZJ554Yhx//PGlXk9ndud8m0+PN5P3D0DKjG+WU6Q7rZvS3/Py6Kli9EnzeL8FpMz1muUU7Unr8bhec9j0SfN4vwWkzvx6cXnNaf2e/p9XhJ7Kp0+ayfstIGXm13s32efOre3T3/Py6Kli9EnzeL8FpMz8eu8ma07r//T3vCL0VD590jzebwGpM7/em8ma0xpB/T2vCD2VT580k/db1I350nLKjEtZG8Z86TA53zSPfqZO9EM5Zee1rAWiH4ZFPzSPfoA0mN8pLq+rrIPR//OKcH7Jpz+bSS8DZbl+vLy8e69Zi6K/5xXhfJdPDzePfgeGRS+Wl9eL1pDo73lF6MV8erF59CJQV3qyvCJrP1gfQk8Om55sHj0JpMb1jOVM1Y/Wg+j/eUXop3x6pJm8vwJSYzyzuKKfi7EGRH/PK8L5Np8ebx7vH4BU6c3iivam9R/6e14RejOf3mwevQmkznx6MUWb0/oP/T2vCD2VT580k/dbQMrc77ucMk1pvRD3+x4mfdI83m8BKTO/Xk7ZcUxrzJhfHxZ90jzebwGpM79eXF5zWn+n/+cVoafy6ZNm8n4LSJn59XL7UuQeSNYC6u95efRUMfqkebzfAlJmfr3cvhRpTusJ9fe8IvRUPn3SPN5vAakzv158m0Xv9W7NIfPrw6ZPmsn7LSBl5tfL7Uted1qHqP/n5dFTxeiT5vF+C4AUjA57BwCgarNnz56215ozZ07ssMMO8cADD0zL8/Jcd9118ZWvfCXmzp0bERGXXHJJfPOb34ybbrqp9LbGtzH+v8NQt+8vAGlqcxtERBx11FFxyy239HXRVYQ2AADapa0N+dnPfjbuuOOOWLJkyabH3vrWt8aHPvShOPXUU+MLX/hCqe1pSACg6drajU+1YMGCro/fe++9cc8998QVV1yx6bHXve51cfDBB8d5550Xxx13XKnX0ZYAQBPpycl7MiLiyiuvjLe85S1x7LHH9v06ehIAaCI9OXVPXnbZZRER8fKXvzwiIv70T/80dthhh/jOd75T+nX0JADQRG3tybJz2VM1Z1F6EgBoIj1ZrCcffPDB+Od//udYsGBB3HHHHT29pp4EAJpOW07elj/+8Y/juuuui2233XbCc2+44YZNN74vQ1sCAG3S1s6MyL839T333BOnn356nHbaaTF//vyIiJg/f34cc8wxcfLJJ8cRRxzR0aBT0ZkAQJvpzqnXRLFuSn/PAwCI0JxFetJ6PJoTAOiP5py8Oa3f0//zAADGtbk7x032uXNr+/T/PACACM0ZMfW9jqz/09/zAAAiNGfE1M1pjaD+ngdAs7W5I8qMS1kbRkcAsJl+KNYP1gLRDwCQR1dN3lXWwej/eQDAcLW59SKmvveatSj6fx4AkD69OPW9eq0h0d/zAIDm05P5az9YH0JPAgDlaMzJ+9F6EP0/DwBot7a2ZpHPxVgDov/nAQDozak/h239h/6eBwAQoTnzmtP6D/09DwBgXFu7M6JcU1ovRHcCAL3TnMWa0xozmhMA6J3mnLw5rb/T//MAAMa1tTuL3APJWkD9Pw8AIEJz5t1303pC/T0PACBCcxa517s1hzQnANA/3Tl5d1qHqP/nAQCQrhnD3gEAoDrHH398x6DUhg0b4u1vf/uQ9ggAGKZvfetbcc0118TBBx8ce+2117B3BwCAmrvhhhsiImKXXXbZ9Njo6Gi87GUvi6uuumpYuwUAQIJ++ctfxrJlyyY8dtBBB8X2228fv/3tb4e0VwAApCLLsjjrrLPipJNOioMOOihOPfXUuPvuu4e9WwAAJGSbbbaJiIjvfe97ERHxyCOPxO9///t41ateNcS9AgBg2MxlAwDQj7I9+clPfjI+9KEPxcjIyHTtIgAAiSjSlkuXLo1tt912wtesX78+rr766gkLagAAwFPl3Zv6iiuuiCeeeCIOPPDACV/zqle9KtatWxcXX3zxtO0rAADpKrIminVTAADoR5GetB4PAAD9yGtO6/cAAFClyT537n5IAABUZbLmtP4PAABVmer+mtYIAgCezrgUAFBW2X6wFggAQHdFuso6GAAA6cq795q1KAAA2q3IvXqtIQEAwGSK9KT1IQAAKCOvH60HAQBAL4p8LsYaEAAA9KpIb7rPHgAA/Sh67x/rPwAA0C9NCQDAoJVpTmvMAADQi7zmtP4OAAD9KnIPJGsBAQDQj6L33bSeEAAAvSranNYcAgCgH0W60zpEAAC02Yxh7wAATIef/vSnceihh8aHP/zhOPLII2P//fePn/zkJxERsW7duvjKV74Sb37zm2PfffeNG2+8Mf7sz/4sdt1111ixYkXceeed8dd//dex/fbbxwtf+ML4wQ9+0PU17rrrrli8eHFss8028ed//uebPmQcEfHoo4/G+9///njHO94RH/vYx+KUU06JRx55pPA+9urjH/94nHvuuXHuuedueuy73/1uLFiwIL7//e/3te2nauv3F4B0teXc9eUvfzkixibBDjjggNhqq63iZS97WXz729/e9DXaQBsAAMW0oXHuu+++iIh44IEHJjy+3XbbxZo1a+I3v/lNRGhIDQkATEXXjNl3331jxx137Hh8/fr1sd9++236s7bUlgDARFpmzNq1a+Pggw+OvffeO1auXBmnnXZaLFq0KE4//fQJX6cn9SQAMJGW2eycc86JhQsXxgknnBC/+tWv4oILLogPfvCD8dWvfnXT1+hJPQkATNSGlik6l12EntSTAMBEbWiZMj15/vnnx2GHHRZbb711123pST0JAEyuDV3T61jltddeGzvvvHMsWrRo02PaUlsCAMW0tXGefm/q//iP/4iIiJ133nnC1y1YsCAiIm655ZaI0Jk6EwDoVVubp9uaKEW+RnfqTgCgvLb2TreetB6P5gQABqOtvfP05rR+j+YEAAarTc0z1efOre2jOwGAwWlT70zVnNb/0ZwAwOC0qXfy7q9pjSDNCUA5bTiHFR2XKkJH6AgA2nHuKtMP1gLRDwDQqzac03sdl7EORrF9BADqqy2dkXfvNWtRaD0AoLu2tEqRe/U+nTUkiu0jANBubWmZIj1pfQg9CQBUoy19k9eP1oPQmABA9draOU//XIw1ILQmADAYbW2dp/em9R/0JgAwOG3tnW73/rH+g+YEAAanLc1TpCmL0J26EwAory29U7Q5rTGjOQGA6rWld3oZ57T+TrF9BAAoog3NU+QeSNYC0p0AwOC0oXeK3nfz6awnVGwfAQDytKF3ijanNYc0JwAwOG1oniLdaR0i3QkA0GoZANTY8uXLs15OVxGRLVq0aNOfX/CCF2QLFy7MsizLnnjiiWz+/PnZ7rvvnmVZlj355JPZXXfdlUVE9sxnPjP79re/nd16661ZRGS77rpr9ulPfzpbs2ZNdvPNN2cRkb3yla+c8FqLFi3KIiI74YQTsuuuuy77/Oc/n2255ZbZzJkzsx//+MfZhg0bsr322is75phjNj3nZz/7WTY6Ojrh3zbVPpZ19dVXZ/vvv38WEdluu+2WffGLX9z0d9/4xjeyefPmZd/85jdzt/P07+Nk2vL97fX3sW0iIlu+fPmwd4MKLVmyJFuyZMmwdwOyLOv997GtbbDrrrtmEZEtW7YsW716dXbjjTdmCxYsyEZGRrL/+q//yrJMG3Tbx6IcH/Ppp2bSe0BqjC8Vb5w3v/nNWURkl19++YTHjzzyyCwisnvuuSfLMg3ZbR+L0kfF6I3m8f4JSIFu7G1estv3YDIrVqzI5s6dm/3whz/c9Ji27O9noJvy6ZDm8b4KqCs9ObieXLNmTXbGGWds2g/XwunJ6aQnm0dPAnWlJwfTk/fff3+27777ZjvvvHP2vve9r+Pv9aSeHDQ92Tx6EqgrPdl7T2ZZ97nsqb5P4/Sknhw0Pdk8ehKoKz1ZfU+uXLkyO/vsszv2/6n0pJ4cND3ZPHoSSIH7Ag12rDLLsuyII47IPvGJT0x4TFv63Peg6e/m8X4BSFEv56O2d+Zk96beY489sojIHn300Qlfv27duiwisn322SfLMp3ZbR/LcL7Np8ebyfsHIGXGN6tfE6XI1+hO45uDpk+ax/stIGWu16y+Oa3HM8b1msOlT5rH+y0gdebXy5usOa3fY369LvRJM3m/BaTM/Hq55inyufOns7aP+fVh0CfN4/0WkDLz64NrTuv/mF8fJn3SPN5vAakzv15c0ea0RpD59WHTJ83k/RZ1Y760t+v0phqXmur7NE5HmC8dNOeb5tHP1Il+qL4frAUyRj8Ml35oHv0AaTC/U17RcZkssw6G+Z3h0J/NpJeBslw/Xq4z8u69Zi0K14/XhR5uHv0ODIterLYXn8oaEnpxmPRi8+hFoK70ZPU9aX2IMXpyuPRk8+hJIDWuZywurx+tB+F6xrrQI83k/RWQGuOZvX12Zly3z8U8nTUgjGcOgx5vHu8fgFTpzcH1pvUf9OYw6c3m0ZtA6syn926y5rT+g/n0YdMnzeT9FpAy9/su3zx5TTnV92mc7nS/70HTJ83j/RaQMvPr1TenNWbGmF8fLn3SPN5vAakzv15OmXHOLLP+jvn14dAnzeT9FpAy8+vFm6fIPZCsBWR+vS70SfN4vwWkzPx6tc35VNYTMr8+TPqkebzfAlJnfr2Yos1pzaEx5teHS580k/dbQMrMr1fbndYhMr9eF/qkebzfAiAFowEALXDsscfGc57znIiImDlzZmy77bZxxx13RETEyMhILFy4MCIinvOc58TrXve6iIjYaaed4u67744PfOADERGxxx57xA477BA/+tGPur7GaaedFltttVVERDz22GPx3ve+N5YtWxYvf/nL46b/z96dh8lV14n+/2RPs4R0J+l0WgIkBBJ2EMfxhwwKowODgswIsggBhXuZINtlR0AQFWHYIqhzH2QQUBwBB+6wONdBgQERXNiuCEwYQoTsJJ2QfT+/P3iq6KWqq6q7TlVX1ev1POdJd6W6cqpoq95+v+ec729/G3feeWf2vpMnT47JkyfHrFmzitrHUn3yk5+MqVOnxuOPPx4XXXRRnHbaaTF06NA4+eST48gjj4wVK1bEkCFD+vTYuTTa63vffff16ecaybPPPlvtXaCM5s6dG9tvv321dwPKqlE+uxYuXBgTJkyI8847LyIi2tra4tvf/naceOKJccstt8SPfvQjbZBjH0sxd+5cbdCLTBN4jQCoB43QOOeee2789Kc/jYsvvjgmT54ce+65Z/zyl7+Mxx57LIYOHZp9bA1pfKkSjC/VF+NLQCNptK4p1ubNm+OrX/1q3HHHHbHffvtlb9eW/f9voJt6N3fu3IjQ4PXE7zxQ7xqtZYoxatSo+OpXvxpjx46N008/Pb7//e/HqaeeGhF6Mtc+lspna+/0ZP3xOw/Uu0ZrmULWrFkTzc3NMWrUqLjppptiyJAhcd1118WgQYMiQk/m2sdS+WztnZ6sP37ngXrXaC0TkX8uuxh6Uk+mTU/WH7/zQL1rtJaJyN2THR0d8YMf/CBuv/32Xn9WT+rJtOnJ+uN3HmgkjdY1EcWNVa5bty4eeuih+O1vf9vldm3pvO9K0CL1xXnfQKNqtMbJd23qUaNGZZ9zZ5nvN2zYEBE6M9c+lsp1KnvnOpUA1KtGa57e1kQp5j660/hmJRjfrC/GNwEar3d660nr8bzP8ZrV5XjN+uN3HqDxeidfc1q/587sfc2vV5f5dQDqVSM0T7HnnXdmbR/z69VkbKy+mF8HaIzeKbU5rf9jfr2azK/XH7/zAI3RO6U0pzWCzK9Xm/l1oJY02mdYb+NSxdAR5ksrwVhHfTFfSj1qtM+ufP1gLZA7s/fVD9WnH+qLfoDG0Wif6cWOy1gHw/xOtZjfAaCcGqUzCl17zVoUd2bv6/jx6nL8eP3xOw/UukZplWKu1ZthDQm9WE16sf74nQfqXaO0TDE9aX2I9+nJ6tKT9cfvPNCIGqVvCvWj9SDuzN7X8YzV5XhGAOpJo3VOZh9ynRfTmTUgjGdWi/HM+uN3Hmh0jdY6mX3orTet/6A3q0lv1h+/8wCN1zuZfcjXnNZ/MJ9ebebTAahXjdQ8hZqyGLrT9b4rwdhYfXG9b4DG6p3emtMaM3dm72t+vbrMr9cfv/MAjdU7pYxzWn/H/Hq1mF8HoF41QvMUcw0kawHdmb2v+fXqMzZWX8yvAzRG7xR73c0M6wmZX68m8+v1x+88QGP0TrHNac2h95lfry7z6wDUq0ZonmK60zpEd2bva369+oyN1Rfz6wDUgqHV3gEAqIT/9b/+V6xevTq+//3vR0dHR6xfvz42btzY689kBlQ6a2lpiddff73g/Y866qg455xz4tVXX41ly5ZFRMROO+3U5f6DBw/u9z7mM3r06Bg9enTstttusd1228VJJ50Ud999d5x88skREWUd4IpovNf32GOP7dPPNZKZM2fGzJkzq70blNHRRx9d7V2AsmqUz662trbYsmVLl9sOPvjgiIgukz3aoO9t8Nxzz2mDIniNAKgHjdA4f/EXfxGPPvpoXH755XHooYfGlClT4vzzz48tW7bEwQcf3KUbNaTxpbQZX6o/xpeARtFoXVOsr3/96/HXf/3Xcdxxx/X4O23Zv/8Guqk4GhyAWtFoLVOK0047Lc4999wuJz5G6Ek9WRl6EoBa0Wgt05vf/e538ZnPfCb+6Z/+KY488sg45JBD4vrrr48RI0bEN77xjez99KSerAQ9CUCtaLSWieh9LrsYelJPVoKeBKBWD5nASAAAIABJREFUNFrLROTuyRkzZsQ//MM/dJnbXr9+fUS8f273sGHDYvLkyRGhJ/VkZehJAGpRo3VNRHFjlY8++mjssMMOsdtuu/X4O23pvO+06e/647xvoBE1WuPkuzb1tGnT4qmnnorly5fH+PHjs/fP7GN7e3v2Np3Zv/8GrlNZHK8RAPWm0Zqn0JooxdxHdxrfTJvxzfpjfBNodI3WO731pPV4PuB4zerT5gDUk0brnXzN+atf/cr6PZ2YX68+rxEA9aYRmqeU884zrO1jfr2ajAfXH/PrQKNrhN7pS3NGWP+nv/uYj54qjjYHoJ40Qu8U25zWCPqA+fXq8xoBtaDRPsMy8o1LFUNHmC9Nm/G9+mO+lHrTaJ9dGd37wVogO3W5v36oLv1Qf/QDNIZG+0zPKDQuYx0M8zvV5jUCoBwapTMKXXttv/32sxZFJ44frz6tB8BA0SitUuy1eiOsIRGhFwcCvQhArWiUlimmJ60P8QE9WX16EoBa1ih9U6gf/+Iv/sJ6EJ04nrH6vEYA1ING65yI3s+LybAGhPHMatOaANSLRmudiOJ6M8L6D/3dx3z0ZnH0JgD1pNF6JyJ/c1r/4QPm06vPawRAvWmU5im2KYuhO13vO23Gg+uP630Dja5ReqdQc1pjZqcu9ze/Xn3aHIB60ii9U+o4p/V3zK9Xm9cIgHrTCM1TzDWQpk2bZi2gTsyvV5fx4Ppjfh1odI3QO6VcdzPCekIR5tcHAm0OQD1phN4ptjmtOfQB8+vV5zUCoN40QvMU053WIdqpy/3Nr1eX8eD6Y34dgIFucOG7AEDt+/3vfx977bVXTJ48OS6//PLYZpttUv33Midx7LDDDjFv3ryIiFi6dGlV9vFzn/tcREQMHz68LI/X2bvvvhubNm1quNc3SRJbL1tExL333lv1/bCVbzPART1qlM+uXXbZJRYvXtzltrFjx0bE+5NL5daIbXD00UdX/X16IG/33ntvROinetsAGlWjNM5hhx0Wf/jDH2LlypXx4osvxnbbbReLFi2KU045peTHKkYjNmSEPiqmN4wv1ddmfAloJI3WNcV45JFHYuutt44rrrgi1X+nUdtSNxXuEOO49bVlxp0B6lWjtUwpBg8eHC0tLTFlypRUHl9P2nJterL+Nj0J1LtGa5neXHrppbFkyZL45Cc/GcOHD4+f/vSnERFx2223pfLv6Ulbrk1P1t+mJ4F612gtU6m57GLoSVuuTU/W36YngXrXaC2TrycfeuihOOSQQ2LatGnZ7a233oqIiGnTpsWhhx7a538zHz1py7Xpyfrb9CTQSBqta4odq7z33ntTP1ezUduy2p/zA32L0N/1tjnvG2hUjdY4nXW+NvUee+wRERHz58/vcp8FCxZERMSBBx5Yln+zs0btTONzvW+uU1mfGwC6M6L3NVGsm/I+45uV7RPjm/W1Gd8E0JwRH/Sk9Xjyc7xmZfvEeHB9bY7XBNCcER80p/V78jO/Xvk+qfZ+2Mq7AdAY3VnqeefW9unJ/Hpl+8R4cH1t5tcBNGdv1zqy/s8HzK9Xtk+MB9fXZn4dQHN2bk5rBOVnfr3yfVLt/bCVd4N61WifYRlpj0sVo1E7otrv5wN9izC+V2+b+VLqUaN9dmV07wdrgeiHgbJF6Id62/QDNI5G+0zPKDQuYx2MrszvVG4zv1OfG0C1NEpnFLr2mrUoHD8+UDbHj9ff5vhxoNY1Sqv09Vq91pB4n16s3KYX62/Ti0C9a5SWKaYnrQ+Rn56s3KYn62/Tk0AjapS+KaYfrQeRn+MZK98j1d4PW3k3gEbVaJ0TUfi8GGtA9GQ8s3Kb8cz624xnAo2u0VonovjzsK3/8AG9WblNb9bfpjcBNGdn1n/Iz3x65fuk2vthK+8GQON0Z6WbshiN2p3V/vwf6FuE8eB621zvG0BzZprTGjPm1wfKZn69/jbz6wCaM984p/V3ujK/Xvk+qfZ+2Mq7AdA43VnoGkjWAjK/PlC2COPB9baZXwfQnIWuu2k9ofeZX69snxgPrq/N/DqA5uzcnNYcys/8euX7pNr7YSvvBoDu7Nyd1iHKz/x6ZfvEeHB9bebXAagFg6u9AwBQCdOnT4+NGzfGYYcdFhERW7ZsSfXfe+eddyIi4rOf/WxMmzYtIiIeffTRquxj5iSSww8/PHvb5s2by/LYZ5xxRgwZMqShX18AalOjfHadcMIJsW7dunjppZeyty1ZsiQiIj760Y9mb9MG2gAAKKwRG2f16tVx4YUXxkEHHRTHH398l7/TkBoSAMhN13T12GOPxdy5c+Piiy/ucvuzzz6b/VpbaksA4ANaJr/58+fH/Pnz45hjjulyu57UkwDAB7TMBzZs2BARH1wYefvtt4/x48fHoEGDutxPT+pJAOADjdQyxcxlF0NP6kkA4AON1DK99eTatWt7XJQ0s39JksQbb7yRvb+e1JMAQG6N1DXFjlWuXr06Hn300R7HUGZoS20JABTWyI3T+drUJ510UowePTqeeOKJLvd5/PHHY/jw4XHCCSdkb9OZOhMAKF0jN0+uNVGKuY/u1J0AQGkauXe696T1ePLTnABAfzRy7/Q2zmn9nq40JwDQX43QPKWcd25tn9x0JwDQH43QO6U0Z2fW//mA5gQA+qMReqfY5rRGUH6aE4BcGvUzLN+4VDF0hI4AaHSN+tnVvR+sBaIfAKC/GvUzvbdxGetg9KSrAKA2NUpnFLr2mrUotB4AkFujtEqx1+rtzhoS79OLAEA+jdIyxfSk9SHy05MAQCkapW9KHbO0HkRXGhMA6ItG65xC58VYAyI3rQkA9FWjtU6h3uzM+g8f0JsAQH80Wu/01pzWf8hPcwIA/dUozVNsUxZDd+pOAKA0jdI7hZrTGjOaEwBIT6P0TinjnNbf6UlzAgD91YjNk+saSNYC0p0AQHoasXd6u+5md9YTep/mBAD6oxF7J19zWnMoP80JAPRXIzZPMWOd1iHqSncCANS3wdXeAQAot7Vr10ZExLp167K3LViwIObNmxePPfZY/OQnP4nly5dHRMTvfve7mDt3bva+SZJkf2bjxo0REbFq1arsbZn7dR4gyZw8vGzZsuxtN998c3zuc5+LU045JS688MIYOnRofPWrX41f/OIXsXbt2njiiSdi/vz5ERExZ86covaxGDfffHPccccd8d5770VExPr16+Piiy+OY489Ns4888yIeH8waPTo0fF//+//7fWxMgcCrly5ssvrEhGxYsWKOP3002PkyJExaNCghnl9AahNjdwGJ510Uuy5555x/fXXZ2978MEHo62tLc4777yI0AbaAADIpZEbsvO+n3rqqRER8ZOf/KTLBfQ0pIYEAN6nGz94DXIdZP+rX/0qrr322ti8eXN873vfi+9973vx3e9+N84777z4+c9/HhHaUlsCQGPTk/l78uqrr45zzjknXn/99ezzmTFjRhx11FFxySWXZO+nJ/UkADQyPdn7+GRmEY7MWOTbb78dixYtiuOOOy57Hz2pJwGgkTVyTxYzl939dcrVnHpSTwJAI9OTxfVkb/SkngQA3qcti2vLhx56KHbcccfYY489ejyOttSWAEBPjdyZha5N3dzcHJdeemn87//9v7PPa+XKlXHbbbfF5ZdfHttvv31E6EydCQAUQ3f2viaKdVN0JwDQf5qz9560Ho/mBAD6T3P23pydn5/1ezQnANB3jdydxbC2T/X/GwAAtU9z5mf9n+r/NwAA6oPm7J01gqr/3wCAgatRO6LYcanur5O1YXQEAPqh2H7ojX7QDwAQoauK7SrrYOgqAKhFjdp6EYWvvWYtCq0HAOjFQtfqtYaEXgQAeqcne+9J60PoSQCgdBqz937s/PysB6ExAYDSNHJrZvR2Xow1ILQmANA/ejN/b1r/QW8CAOWhOXsf47T+g+YEAMqjkbuzmKbs/jpZL0R3AgCl05zFNWdvNKfmBAB6pzmLa07r72hOAKB/Grk7O+97rmsgWQtIdwIA5aE5e7/upvWENCcA0H+as/fmtOaQ5gQAykN39t6dxdxHd+pOAIB6NLjaOwAA5fTWW29lF1+ZM2dOfOc734nly5fHNddcE6NGjYrLL788dt5557jsssuiubk5rrnmmli1alVcdtll2Z/51a9+Ff/xH/8Rf/7znyMi4rLLLouOjo747ne/m73txhtvjKVLl0ZExC233BJHHHFE/P3f/32cfvrpcc4558Qee+wRDzzwQERE7LPPPvH444/HtGnT4phjjok999wzfve738W+++4b//AP/xCzZ8+OLVu29LqPW221VVHPf8WKFfHtb387Jk2aFGeccUZcfPHFceaZZ8ZPf/rT7GDRiBEjYtSoUTFixIi8j/PEE0/EjBkzIiJi3rx5sfvuu8chhxwShxxySEybNi1aW1vjtttui09/+tMREQ3z+gJQexq9DYYMGRJPP/10jBw5Mk4++eS44oor4rnnnos//OEPMXr06IjQBtoAAOiu0RsyIuLVV1+Nv/qrv4qhQ4fGU089FR/60Ie6/L2G1JAAgG6MiHjyySfj3HPPzT6f66+/Pl5++eWIiHj22WfjyCOPjMcffzzOPPPM7HbWWWfFzJkz40tf+lJEaEttCQCNS0/23pM77LBDPPXUU/GRj3wkvvjFL8ZXvvKVOO200+KBBx6IwYM/OPxdT+pJAGhUerL3noyImDFjRnzve9+Lm2++OS644II499xz42tf+1pcd9112fvoST0JAI2qkXuy2LnsiMLNqSf1JAA0Kj1ZXE8Woif1JACgLUtpy3vvvTeOOeaYnI+lLbUlANBVI3dmRHHXpr7ooovikksuiTPOOCMuv/zyOPXUU+PCCy+MK664Ivs4OlNnAgC9052Fu9O6KboTAOgfzVm4J63HozkBgP7RnIWbM8L6PZoTAOivRu/OQqztU/3/BgBA7dOcvbP+T/X/GwAAtU9zFmaNoOr/NwBgYGrkjih2XCrC2jA6AoDO9ENx/VCIftAPAKCriu8q62DoKgCoNY3cehHFXXvNWhRaDwAamV4s3IvWkNCLAEB+erJwT1ofQk8CAKXRmIX7McJ6EBoTAOiLRm/NjHznxVgDQmsCAP2jN9+Xrzet/6A3AYD+05zv6+3aP9Z/0JwAQP81encW05QR1gvRnQBAf2jO4pqzEM2pOQGA/DRn8c1p/R3NCQD0XaN3Z0ThayBZC0h3AgD9ozkLN6f1hDQnANA/mrNwc1pzSHMCAP2nOwt3ZzH30Z26EwCgHg1KkiSp9k4AQD733XdfHHvsseHjioHA72NxBg0aFPfee2984QtfqPauUCaZiyHcf//9Vd4T8PvIwOL3sTD9VJ/0HlBrfB4V789//nPcddddMWTIkDjiiCNi7733rvYu1R2/j8XRG/XH/38CaoHPaWqRbipMh9Qf79fAQOX9iVqkJwvTk/XH+zUwUHl/ohbpycL0ZP3xfg0MVN6fqEV6sjA9WX+8XwMDlfcnapGeLExP1h/v10At8PlDrfH5Whz9XX+8XwO1yOcRtcbnbWF6vD55vwZqmc9vao2eKo4+qT/er4Fa5vObWqSnCtMn9cf7NVDrfH6Xj/V7KkNPFaZP6pP3a6CW+fym1uip4uiT+uP9GqhlPr+pRXqqMH1Sf7xfA7XO5ze1Rk8Vpk/qk/drBhrvx9Qan4/F8XlTf7xfM5D4faTW6Ifi6If64/0aaoP3X2qNz5fC9Gd98n4NlMrnAbXI511herj+eL8GqsX7D7VILxamF+uP92tgoPL+RC3Sk4Xpyfrj/RqoNT6vy8d6EJWhnwrTI/XJ+zVQa3weUYt83hamx+uP92ugVnn/ohbpzcL0Zv3xfg3UOp/f1Bo9VZg+qU/er4Fa5vObWqOniqNP6o/3a6CW+fymFumpwvRJ/fF+DdQ6n9/UGj1VmD6pT96vgVrm87t4roE0MOip4uiT+uP9GqhlPr+LpzkHDj1VmD6pP96vgVrn87s4mnPg0FOF6ZP65P0aqGU+v4tXTHdq0/TpqeLok/rj/RqAWjC02jsAABQ2aNCggvd5/fXXY+rUqRXYGwCg2rQBAAClKrYhv/a1r1VgbwAAGKiMPQIA0B96EgCA/tCTAAD0h54EAKA/9CQAAOWiLQEASIPOBACgEnQnAABp05wAAKStXM254447Wr8HAIC8jHUCAJA2zQkAQNo0JwDQVzoCACiVfgAAKA9dBQBQv7QeAAC90YsAAPSHngQAoNysBwEAQFqMZwIAkCa9CQBA2jQnAACVoDsBAEib5gQAIG2aEwCASii2O10DCQCAvtKcAACkTXMCAFAJ5epO6xABANDIhlZ7BwCAwpIkqfYuAAADiDYAAKBUGhIAgGLoRgAA+kNPAgDQH3oSAID+0JMAAPSHngQAoFy0JQAAadCZAABUgu4EACBtmhMAgLRpTgAAKkF3AgCQNs0JAEDaNCcA0Fc6AgAolX4AACgPXQUAUL+0HgAAvdGLAAD0h54EAKDcNCYAAGnRmgAApElvAgCQNs0JAEAl6E4AANKmOQEASJvmBACgEnQnAABp05wAAKRNcwIAUAm6EwAA+m9otXcAAADq0X//93/HlClT+vzzb731Vjz88MOxfv36+Lu/+7t+PRYAUH3aAACAUmlIAADKRVsCANAfehIAgP7QkwAA9IeeBACgP/QkAADloi0BAEiL1gQAIG2aEwCAtGlOAAAqQXcCAJA2zQkAQNo0JwAAlaA7AYC+0BAAQKn0AwBA+WgrAID6pPMAAOiNXgQAoD/0JAAAadCZAACkQWcCAJAmvQkAQCXoTgAA0qY5AQBIm+YEAKASdCcAAGnTnAAApE1zAgBQCboTAIC0aU4AqKzB1d4BAAAohzfeeCNuvPHGiIjYtGlT3HTTTXH++efHCSecEAcddFD87Gc/69Pjzp8/P374wx/GscceGwcccEDO+3z3u9+NQYMGddm+853vdLnPq6++GkcddVSMHTs2xo0bF8cff3wsWLCgx2OtXLkyzjrrrPj0pz8de++9d1x44YUxZcqU2Lx5c1xyySUxb968Pj0PAGg02gAAgFJpSAAAykVbAgDQH3oSAID+0JMAAPSHngQAoD/0JAAA5aItAQBIi9YEACBtmhMAgLRpTgAAKkF3AgCQNs0JAEDaNCcAAJWgOwGAvtAQAECp9AMAQPloKwCA+qTzAADojV4EAKA/9CQAAGnQmQAApEFnAgCQJr0JAEAl6E4AANKmOQEASJvmBACgEnQnAABp05wAAKRNcwIAUAm6EwCAtGlOAGhsQ6u9AwAAFGfu3Lmx/fbb19xjV8J//ud/xm233RZ33nlnRERcffXVccwxx8Ree+0VEe8PQh1zzDFxww03xPnnn1/SY7e3t8enPvWp+PKXvxzTpk3r8febNm2Kf/mXf4lrr702e9vQoUNj+vTp2e9fe+21uPzyy+OUU06Jq666Km666ab40Y9+FO+++2788pe/zN7v3XffjcMOOyxWrVoVzz33XIwdOzb7d0OGDImLL744TjvttLjhhhti0qRJJT0PAOqPNshPGwAA5KYh89OQAACl0Zb5aUsAgML0ZH56EgCgMD2Zn54EAChMT+anJwEACtOT+elJAIDSaMv8tCUAQP9ozfy0JgBAeWjO/DQnAEB5aM78NCcAQPnozvx0JwBAeWjO/DQnAEB5aM78NCcAQPnozvx0JwDkpyHy0xAAkJt+yE8/AACl0lb5aSsAoJbpvPx0HgCAXuyNXgQAKExP5qcnAQD6TmfmpzMBAPpOZ+anMwEA+k9v5qc3AQDKR3fmpzsBAMpDc+anOQEAykNz5qc5AQDKR3fmpzsBAMpDc+anOQEAykNz5qc5AQDKR3fmpzsBAMpDc+anOQGAodXeAQAACpszZ05Mnz49nnrqqZp67Ep47bXXYvr06fHiiy/GsGHDIiLihz/8YXziE5/I3mf69Olx1llnxf3331/yIFdExMSJE/P+3b/8y7/EiSeeGDNmzMh7n8ceeyzuueeeaGpqioiIO+64Ix5++OH47W9/2+V+p5xySrz88svxzDPPdBngymhubo4rr7wyjjzyyHjuuedi6623Lvm5AFAftEF+2gAAIDcNmZ+GBAAojbbMT1sCABSmJ/PTkwAAhenJ/PQkAEBhejI/PQkAUJiezE9PAgCURlvmpy0BAPpHa+anNQEAykNz5qc5AQDKQ3PmpzkBAMpHd+anOwEAykNz5qc5AQDKQ3PmpzkBAMpHd+anOwEgPw2Rn4YAgNz0Q376AQAolbbKT1sBALVM5+Wn8wAA9GJv9CIAQGF6Mj89CQDQdzozP50JANB3OjM/nQkA0H96Mz+9CQBQProzP90JAFAemjM/zQkAUB6aMz/NCQBQProzP90JAFAemjM/zQkAUB6aMz/NCQBQProzP90JAFAemjM/zQkAREQMrvYOAADQu3nz5sVnP/vZePfdd2vqsSshSZI48cQT40tf+lK0tLRkb9+yZUs8+OCD2e+XLFkSEb0PVvX137/uuuvi4osvjr/5m7+JK6+8MubMmdPjfmeffXZ2gCtj06ZNceqpp2a/f+SRR+LnP/95HHroofGXf/mXef/NvffeO3beeee48MILy/Y8AKgt2iA/bQAAkJuGzE9DAgCURlvmpy0BAArTk/npSQCAwvRkfnoSAKAwPZmfngQAKExP5qcnAQBKoy3z05YAAP2jNfPTmgAA5aE589OcAADloTnz05wAAOWjO/PTnZWzZs2a2LhxY0X/TQCgcjRnfpqzcubMmRN77LFHHHjggXHEEUfE9OnT45xzzokrr7wyZs6cGXfddVc89NBD8fTTT8crr7wSc+fOjdWrV1d0HwGAvtOc+WlOAIDy0Z356U4AyE9D5KchACA3/ZCffgAASqWt8tNWAEAt03n56TwAAL3YG70IAFCYnsxPTwIA9J3OzE9nAgD0nc7MT2cCAPSf3sxPbwIAlI/uzE93AgCUh+bMT3MCAJSH5sxPcwIAlI/uzE93AgCUh+bMT3MCAJSH5sxPcwIAlI/uzE93AgCUh+bMT3MCABmDq70DAAD1bMWKFXHxxRfHpZdeGueff34ceuihcf7558fy5csjIuIHP/hBDB48OAYNGhQREStXroybbrqpy2133nln/OlPf4qFCxfGjBkzIiLiueeeiwsuuCAmTZoUixYtiqOPPjrGjBkTe+21VzzwwAP9euyIiCeeeCImTpwYTz31VGVeqD566KGH4oUXXojDDjusy+2/+MUv4tJLL+1yv6FDh8YVV1xR1n9/xYoVceihh8bHPvaxePbZZ+Pqq6+OadOmxTe+8Y1ef+5rX/tazJw5M2bOnJm97a677oqIiB122CE+8YlPxLbbbhv7779/PProoz1+/tBDD40f/OAHMXv27LI+HwDSpw3SpQ20AQDUIw2ZLg2pIQGgkWjLdGlLbQkA9U5PpktP6kkAqHd6Ml16Uk8CQL3Tk+nSk3oSAOqdnkyXntSTANBItGW6tGXl2nLLli2xbt26iv17AEBhWjNdWrNyrfnGG2/E73//+3jzzTejo6OjYv8uAFCY5kyX5qxccy5dujRuv/32+Nd//dd44okn4qWXXoq33347Vq5cWbF9AABy05zp0pyVPV7zuOOOixkzZsRll10WN9xwQ/zzP/9zPPjgg/Hkk0/Gyy+/HO+8806sWrWqovsEALxPd6ZLd1auO6+88soYPnx4NDU1RXt7e+yxxx5x4IEHxhFHHBHTp0+Pc845J6666qr4zne+E3fffXc8/PDD8etf/zr+9Kc/xfz582Pjxo0V21cAaDSaM12as3LNue2228YXvvCF+MhHPhItLS2xfPnyeOGFF+KBBx6IG264Ic4444z43Oc+FwcddFDstddeMXHixNhmm21ixIgR0dbWFrvttlsccMABcfjhh8cXv/jFOPPMM+OKK66Im266KX74wx92GTM1bw8ApdGc6dKcrocEALxPd6ZLd+pOgHqlIdKlITQEQD3SD+nSD/oBgMairdKlrbQVUBlJksTSpUtj1qxZ8dxzz8XPf/7z+PGPfxy33HJLXHXVVXH22WfHiSeeGIcffnh87GMfi29961vV3mVInc5Ll87TeUDt2rx5cyxZsqRHO956663x9a9/Pc4555y48847q72bkDq9mC69qBeBxrB69ep455134uWXX44nn3wyHnjggbj99tvjoYceqvauQer0ZLr0pJ4EWL58ecyePTv+8Ic/xH/8x3/EvffeW+1dgorQmenSmToTIGPjxo2xaNGieP3112PWrFnV3h1Inc5Ml87UmQC5ZM7zWbZsWbV3BVKnN9OlN/UmQCGZz1yod7ozXbpTdwIAmjNtmlNzAgCaM22aU3MCAO/TnenSnboTANCcadOcmhMA0Jxp05yaEwB4n+5Ml+7UnQCA5kyb5tScAJCVAMAAdu+99yY+rhgoSv19XLlyZbLrrrsmV111Vfa2xYsXJ7vuumsyefLkZPny5UmSJMnOO+/c43G73xYRybRp05IkSZLNmzcnjzzySNLU1JRERHLWWWclTz31VPKTn/wk2XbbbZOISJ555pk+PXbGv/3bvyVbbbVV8vDDDxf9fDs/3r333lvyz/XF8ccfnwwaNCjZuHFj3vts2LAhmTJlSvLjH/+4X/9Wrteps/feey/51re+lQwdOjSJiOT222/vcZ8HH3wwOeigg5KISCZNmtTlPjvttFMSEcmNN96YLFiwIHnuueeSiRMnJoMGDUp+97vfdXmcF198MYmI5Nvf/na/nlOxjj766OToo4+uyL8Fhfh9ZCAp9fexEdug0j2vDSrTBhGRjBgxIpkwYUKy++67Jx//+MeTz372s8lJJ52UnH322cmVV16ZzJw5M7nrrruShx56KHn66aeTV155Jeno6KjI/gF0Z3yJgcT4UnGML9VfQx599NHJ3nvvneyzzz7JwQcfnHz+859P/sf/+B/JJZe3OdAiAAAgAElEQVRckvzjP/5jcvvttycPPPBA8uSTTyb/7//9v2Tu3LnJmjVrKrJvABm6kVpUSjc1altWcl5BW1amLTPv12effXZy1VVXJbfcckvy4x//OPn5z3+ePPfcc8msWbOSJUuWJFu2bKnI/gBk6ElqkZ4sTE/Wb0+edtppyUUXXZRce+21yQ9+8IPkX//1X5PHH388eemll5K33347WbVqVUX2ByBDT1KL9GRherJ+e/KEE05IvvKVryRXXHFFcvPNNyd33XVX8vDDDyfPPPNM8tprryWLFi3q9b8FQLnpSWqRnixMT9ZvT37mM59JTjrppOScc85Jvv71rye33nprcs899yT//u//bt4bqAo9SS3Sk4XpyfrtyV133TX52Mc+lvzt3/5t8sUvfjE566yzkiuvvDL5zne+k9x9993JI488kvzmN79JXn/99WTx4sXGKoGKcl0gao3zvovjvO/6a8ujjz462WeffZKISEaOHFnyNYTmzZuXbNq0qSL7CpBRyc8jKAfXqSzMdSrrszUjIhk3blwSEV22vnYnQCUZ36TWGN8sjvHN+mvOo48+Otlzzz2T7bbbrkd3RkQybNiwpLW1NZk6dWry//1//19y+OGHJyeeeGJ2bn3mzJnJ3XffnT0P6NVXX00WLlyYrF+/viL7DzQ2x2tSixyvWZjjNeuvOTPv15///OeTgw8+ONl3332THXfcMfv71n0bPnx4Mn78+GTatGnJAQcckHzmM59JTjzxxOz4Z+b4zs4NumDBAg0KpMb8OrXG/Hph5tfrszsjIvnmN7+ZPPjgg8k///M/JzfccENy2WWXJWeccUZy/PHHJ4ceemjy0Y9+NNlll12SsWPHJoMHD87Zo6NHj04mTZqUfPjDH04+9alPJcccc0zyP//n/0wuvvji5Lrrrktuu+225P77709++ctfJi+88ELy1ltvZf93AtBX5tepNebXi2N+vf6as5T36zVr1iTz5s1LXnnlleTpp59OHnrooeSuu+5KZs6cmVx55ZXJ2WefnZx00knJZz/72eTjH/94svvuuycTJkzI26l9PW7UefFAhvl1apH59cLMr9dfc3q/Bmqd+XVqjfn1wsyv12d3er9moDFfSq0xX1oc86X11xDerxlI/D5Sa/RDcfSDfgCqw3ghtcb8TmHmd+qzrbxfQ/3YtGlTsnjx4uT1119PfvOb3ySPPPJIcvfddyczZ85Mvva1ryVnnnlmcsIJJySHHXZY8tGPfjSZMmVK0tzcnPcaPW1tbcnuu++eHHjggcmRRx6ZfOlLX0rOP//85JRTTnE8IjXH8eOFOX68/jrP8eNAb9auXZvMmzcv+eMf/5g89dRTyf/5P/8nueOOO7LX1JkxY0Zy7LHHJp/+9KeT/fffP5k0aVLea4x3b8cDDjjA+w81Ry8Wphf1IkAumzdvTpYsWZLMmjUree6555J///d/T+65557k1ltvTa6++urk3HPPTaZPn54cccQR2WvgtLW1JcOHD8/ZlqNGjcquqQi1RE8Wpif1JECp1q5dm8yfPz97vcV/+7d/S374wx8mN910U3L55ZcnX/nKV5Ljjz++y/z3mDFjkkGDBvXozMw1GB0fQy1xPGNhjmesz870fg1UUjmv8Q21xHhmYcYz668zjWcC1dLX5sy8F++4447ev6g5erMwvak3AdKwZs2a5M033yypO4cNG5Yd4zQ/Qy0xn16Y+fT67E7v18BA0Jcxz+bm5mTq1KmuH0tNcb3v4lSyTzSn630DjaUv3Tl16lTzNdQc8+uFmV+vv+Y0vw4MJCtWrEjmzJmTvPjii8mvfvWr5P77709uu+225Nprr00uuuii5LTTTkv+/u//Pjn44IOTffbZJ5k4caL5GmqO+fXCzK/XZ3d6vwYGkuXLlydvvfVW8vzzzyePPfZYcu+99yb/9E//lFxzzTXJBRdckHz5y19O/u7v/i75xCc+key1117JXnvtZb6GmmJ+vTjm1+uvOc2vAwPJli1bkiVLliRvvPFG8tvf/jZ7jfjvfve72WvEn3zyydlrxO+zzz7ma6g55tcLM79ef81pfh0YaNavX58sXLgwefXVV5Nf//rXycMPP5zcddddyc0339xlvfS//du/Tf7yL//SfA01x/x6YebX67M7vV8DA83q1auTd955J3n55ZeTJ598MnnggQeS22+/Pbn++uuTSy+9NDn99NOTL3zhC8lf//VfJ/vuu6/5GmqK+fXimF+vv+Y0vw5ALRgaAACk4tprr41Zs2bF6aefnr1t3Lhxcfnll8f06dPjmmuuieuuuy6GDRvW42dz3ZYxePDg+MxnPhMTJ06MWbNmxbXXXhtbbbVVREQsXrw4zj333Lj11lvjgAMOKPmxM4488shYsWJFDBkypJinWjXPPvtsbLfddjF0aP6sveOOO+IrX/lKfPGLX0x1X0aNGhVf/epXY+zYsXH66afH97///Tj11FO73OeTn/xkTJ06NR5//PG46KKL4rTTTouhQ4fGySefHAsXLowJEybEeeedFxERbW1t8e1vfztOPPHEuOWWW+JHP/pR9nHGjx8fERFPP/10XHLJJak+LwDKRxukTxtUrg2+/OUvx8477xwdHR3Zbf78+fHKK69kv1+5cmWPn2tqaoqWlpa825gxY3rc1tzcHNtss01FnhcADDQaMn0asnINOXr06Pirv/qrbC/OmTMnnn/++ez3K1as6PEz+fox0425+rGlpSX7+wwAfEBbpk9bVnbuMtOSy5Yti46OjtiwYUOP+zQ3N/c6Hplv6+2/IQA0Kj2ZPj1Z2Z58++2346WXXoqlS5dGR0dHvPfeez3uM2LEiILt2Nzc3GOcctSoURV7HgBQK/Rk+vRkZXtyzZo1MXfu3Ox897Jly2Lt2rU97rftttsWPEYy05Wdvx85cmTFngsA1AI9mT49WdmeHDNmTHR0dMTs2bO7nJezcePGHvctph9z/X0xv58A0Cj0ZPr0ZGV7cvr06V068u233+7y/fr163v8zKhRowo2ZK7bmpqaKva8AKAWaMv0acvKtWV7e3t84xvf6HJuTubrd999N/7rv/6ry+1JknT5+cGDB+fsyczXuW7LfD18+PCKPEcAqCVaM31as3KtedNNN8UhhxwSy5YtK7jNnj07+/XChQt7dGfE++eLT5gwIZqbm4vexo0bZ94cALrRnOnTnJVrzmnTpsUf//jHiIhYu3ZtUe351ltvxQsvvBALFiyI+fPnx7p163o87siRI0vqzszW2trqekUAEJqzEjRnZY/X/NnPfpbz9mIbdPbs2dn+XLZsmQYFgDLRnenTnZXrzl122SWOOuqoou9fbIvOnz8//vSnP2W/f/fdd2PTpk09Hq+vPTphwoQYNGhQOV8KABhQNGf6NGdlxzqL0dTUFE1NTdHe3l7yzxbbqd2PG128eHFs3ry5x+P1tVMdOwpALdGc6dOcA685AYDK053p0526E6AeaYj0aQgNAVBv9EP69IN+AKBxaKv0aSttBY2s8/kfna+J09uW79yP7tcMHzduXOy66659Pj/5vvvuizvvvDPlVwCqR+elT+fpPKB8SjlvuPO2YMGCHo+V65zhtra22G233Upqx/vuuy9+85vfVPJlgIrSi+nTi3oRqLy+dmUp103cY489el3bcOzYsTF8+PC477774thjj63CqwCVoSfTpyf1JDCwpD2GWcz89/jx460XQ93TmenTmToTGJg2bdoUHR0d0dHREcuWLevyZ67bOv9drrHN0aNHR0tLS7S0tERzc3O0tLTExIkTY++99+5yW+brZ555JmbMmFGFZw6VoTPTpzN1JlAbcjVmMQ26du3aHo+1zTbb9OjKzLGamdsyt7/00ktxwQUXVOEZQ2XozfTpTb0J1Jb33nsv25XFjnl2dHTEmjVrejzWVltt1aM7W1tbY+rUqT3GQP/mb/6mCs8WKkd3pk936k6gtqxbt67o1uz+dZIkXR5ryJAh2a7s3J877bRTfPjDH87e3vn9E+qR5kyf5tScQO3JHN/Zl/n2fMd3jhkzpkt/Tpw4MfbZZ59obm6OP//5z/Ff//VfVXimUBmaM32aU3MCtWnz5s1FdWeurzdu3Njj8TqfV5TpzmnTpmW/dkwn9U53pk936k6gNm3cuLFPc+wdHR091g8aNGhQj+M7W1paYs8994zm5ub4z//8zyo9S6gMzZk+zak5gdq1bt26Po93djd06NAezdnS0hKTJk2KpUuXxssvv1yFZwiVoTnTpzk1J1DbVq1albMrc53j3vnrVatW9XispqamnNdR2n333eO3v/1tFZ4dVI7uTJ/u1J1AbSt2fLP79+vXr+/xWNtuu22P8c6dd94557U+oZ5ozvRpTs0JABlWOAUASMkzzzwTEe8P9HZ20EEHRUTEb37zm349/uDBgyMisgNcEe8PTp177rnxxhtv9OuxI2LAD3BFRHZgqDdvvvlm/OM//mOF9ijitNNOi3PPPTdmzZrV4+9Gjx4do0ePjt122y222267OOmkk+Luu++Ok08+Odra2mLLli1d7n/wwQdHRPS4uNjo0aMjImLRokUpPQsA0qAN0qcNKtcGn/zkJ+MLX/hCwfutXbs2li1bFsuWLYsFCxbE/Pnzs99ntkWLFsXrr7+e/X7x4sU9LlIQETFy5Mhob2+PCRMmRHNzc1Hb+PHja+J3FwDy0ZDp05CVa8jW1tb45je/2et9ytWPI0eOLLoZO28TJkyIQYMGpfkyAEDVaMv0acvKzl3++te/7vJ955bsbfvzn/8cL730UrY5c128qtSebG9vj/b29hg5cmSlnj4AVJyeTJ+erGxP/uIXv+hxW66m7D5O+e6778asWbOy3y9ZsiTn4k/dm7KYue7W1tZeT/gFgFqmJ9OnJyvbkw8++GCP24odo5w7d2788Y9/7DIH3v35mvMGgK70ZPr0ZGV78q677sp5ezXnvZubm+NDH/pQ9jUBgHqiJ9OnJyvbk5dddlmvfz8Qxirb2tqy/9sAgHqiLdOnLSvXlltvvXUcccQRRd+/2M6cM2dOvPjii2Ufv9SZANQ7rZk+rVm51hw+fHj23OtSde/OfNcfmj17dvbrpUuXxoYNG3o8lmMxAaArzZk+zVmddVOampqiqamp5P4sdsyze38We255KdctAoB6oTnTpzkHxlp9td6g5t4BqHW6M326c2B0Zy59bdGIvvdorvONIkrr0cy1OFtaWlzDHYCaoDnTpzkHbnP2RTU69d13341Nmzb1eLy+jpuOHTs2hg8fXo6XAwCKojnTpzkr25y33nprtLW1RVtbW7S2tkZ7e3uP328AoPJ0Z/p0Z32NdQLwPg2RPg2hIQDqjX5In37QDwA0Dm2VPm2lraAeZM7FyHft7lxbKesTTp482fW7ocx0Xvp0ns4Deip0Dm+unix17Zfu7Zi5xkxzc3OMGTMmRowYUYVnDrVHL6ZPL+pFoO9KuTZM997srq9jkq6nDb3Tk+nTk3oSSMfatWtLmvfuy9otuVrTtbKhODozfTpTZwLp6uvYZm/rs3SeE29paYmdd96517HNcePGxbBhw0ra79dee61cLwEMSDozfTpTZwKVtWzZspLGOEtda2WnnXaK/fbbL+dxmn05VnPp0qXlfPow4OjN9OlNvQlUR1/OLS9lfn2HHXaIffbZJ+961O3t7ebXoRPdmT7dqTuB6ujrPPvChQsjSZIuj5WrO1tbW2Pq1Km9zrOPHz++qM+qhx9+OK2XAQYEzZk+zak5geqpleM777vvvrj11lvTehmg6jRn+jSn5gSqq6/duXjx4ti8eXOPx+s85pnpz3J05wUXXJDWSwADgu5Mn+7UnUB1lXu8M7MeUOfzhqZMmdJrd7a2tsbQoUPz7uMxxxyT5ksAVac506c5NSdQfWlfI378+PExbdq0Pl8j/r777ot77rkn7ZcBqkZzpk9zak5gYOjLmpcdHR2xfv36Ho+Vqzu333772GuvvXrtzvb29rz7d+ONN6b59KHqdGf6dKfuBAaGvqxTVMr1OydNmhQf/vCHe1y3M7ONHTs2hg8fnnPfzK9T7zRn+jSn5gSAjPxH9gIA0C+ZQag5c+bEHnvskb19/PjxERGx3Xbblf3fzBzMMHHixLI/9kA0ZMiQnBdcyFi7dm3st99+Fdyj9/+7t7S0xLhx43q93+c+97mIiOxEwC677BJPP/10l/uMHTs2IiJaWlq63D5o0KBy7S4AFaQN0qcNBp6mpqZoamqK9vb2Lr/3heQ7ULj7QRyzZ88ueeGrfAdplHJRBACoFA2ZPg05sJSrH/Md/Nu5H3s74LeYZiz24gYAMFBoy/Rpy+rq3JKlKOViWZ17stjFUIvZJkyYMGBeRwDIR0+mT09WX1pNmRmvfP7557O3LV26NDZs2NDjsXpryr5ckAAABgo9mT49WX197cmID5qy0IWuOo9R9raAaalz3uPHj6+JC+UA0Lj0ZPr05MBQ6XnvXIuTmvcGoB7pyfTpyYGlHGOVhcYriz0/p9Tzu8eNGxfDhg0rx8sAAKnQlunTlgNXpccvS1n4qVBrOs4SgFqgNdOnNWvDQJg3j/igO0s5HlN3AjDQac70ac7aUq659Wpdr8j8OgADkeZMn+asbdVo0EJjoKVc52jMmDExYsSIcrwUANAvujN9urM+9bVHN27cmO3Ljo6OHv3Z+bY5c+bECy+8kP1+7dq1OfejpaWlR4N2v2306NE9/mxqairXywEAvdKc6dOcZFRj3LQv14bvbTN2CkBfaM70ac7K+ta3vhWLFy/ucoxkU1NTjB8/PiZMmBCtra0xYcKEGD9+fLS2tkZ7e3u0trZGW1tbtLW1xVZbbVWV/QaAeqc706c7AahHGiJ9GgKAeqMf0qcfgEa2evXqmDt3bixatCjmzZtX7d2B1Gmr9GkrYCBZu3Ztr+sE5tpKWYd68uTJBa8vA1SGzkufzgPq1bp167LXd8lc4yXzda7vM9vy5ct7PNawYcOipaUlu2Wu9zJlypQet3X/3vsNpEsvpk8vAnS9Tkux45JLliyJjRs39nisYsYku1/f2vVZID16Mn16EiC/Uq4H2HkrZS2/QnPf48ePjyFDhlTpFYD6pTPTpzMBitNbc+Yb6+zo6Ij169f3eKy+NueECRO8f0GZ6Mz06UyA0vV1nHPBggU9Hss4J1SX3kyf3gTou4Ewv97a2hpDhw6t0isA9UN3pk93AvRPpc8h6n4uUUtLS4wcObIKzxzqh+ZMn+YE6L9ixjy796jjO2Hg0Jzp05wA5VHKXHvn/ly3bl2Px9KdUHm6M326E6A8BsJ4p/WDoG80Z/o0J0D5dO/OYo7x7O/xnZ2vE+8a8dA3mjN9mhOgfPp6PvvixYtzvhd378729vaCY53jxo2LYcOGVeHZQ23TnenTnQDlMxCuo+T6nVA6zZk+zQkAZLjqKwBASg466KB4/PHH49FHH+0yyPXOO+9ERMSnPvWpiPhgwGLDhg0xfPjwSJIk3nvvvS6PNWjQoNi0aVPBf3Pp0qVle+zNmzcP+MHtCRMmxOLFi/P+fVNTUxx//PEV3KOI+fPnx/z58+OMM87o9X6ZhcQOP/zwiIg44YQT4rHHHouXXnop9t1334iIWLJkSUREfPSjH+3ys8uWLYuIiLa2trLuOwDp0gbp0wb10wZNTU3R1NRU8kUNMhdWKLT94Q9/6PJ999/5QYMGRUtLS86tubk57+3Nzc0OTAagrDRk+jRkfTRkX/pxy5YtRbXjkiVLYtasWbF06dLsbd0NHz48bz9238aMGZP9etSoUeV8GQCgV9oyfdqyNtuyr2ORER+ctFbowlyzZ88ueKGEzOICvZ2g1n1ra2vLnnwDAGnTk+nTk7XZkxF9b8pSLoIwe/bseOSRR2L+/PklLXCVa2EBF3wFoBr0ZPr0ZO32ZETXptx///2L/rl8Tdl9zLLzGGUpiwh07kcXcwWgmvRk+vRk/fRkKTZs2FDUeTiLFy+O119/PTo6OmLp0qWxfPnyHo+V6zjKfOffdN5Gjx5drpcBAPLSk+nTk7Xdk511bsvO/3sppHtD5uvM559/vsv3ucYqR48enT33JldTdr9t9OjRMXr06Nhqq63K+VIAQE7aMn3asn7aMqOv45dbtmzp0pW9ff2nP/0pnn766eztGzZs6PF42223XY+W7Px957nwTGOOHj06mpuby/VSAECvtGb6tGb9tWZnfe3OTZs25e3N7n+++eabXb7PNb7ZuTu792amL7v3ZuZrx2MCkDbNmT7NWd/N2Vl/jtvsrTkzfy5dujTeeOONLrfn+t9Fpil7G+PM16HOMQcgDZozfZqzcZqzu3JcM7PYaxxlzlMvdI2jpqamoq951NzcHK2trTF0qOXTAeg/3Zk+3dm43ZnLsGHDorW1NVpbW0v+2XXr1mXHODtv3W979913Y9asWV1uy3Us6MiRI3uMeXafj+/tTwAoluZMn+bUnOVQyXHTzi27fv36Ho9Xylhp562pqUmrAjQozZk+zVnZ5ly4cGH2389cFz0z95z5c+7cufH73/8+5s+fH4sWLYotW7Zkfz7TU52vh575uvNtO+ywQ2y77bYVfW4AUMt0Z/p0p7FOgHqkIdKnITQEQL3RD+nTD/oB6lFmXjkzp7xw4cLsn/PmzYvFixfH3LlzY/Xq1dmfGejv11AO2ip92kpbQbnlO5e20LZw4cJIkqTLY+U7N2Hy5Mk5b29vb4/29vYYOXJklZ49UCydlz6dp/NgoCvlvNbOW+Y9orNc3Th+/PiYNm1ar+e0trW1xeDBg6vw7IFC9GL69KJehHqwdu3aWL58eSxbtiz7Z76vM39mxi5XrVrV4/Gampp6rLM3bty4mDp1as7198aMGZO9rh8wsOjJ9OlJPQn1bMuWLT06Mtef3Rsz82fn68dERAwePLjHms7Nzc2x4447xn777Zfz7zLdaU09GFh0Zvp0ps6ERrFp06acbZlrPDOzZb5fsWJFj8cbPnx4j5ZsaWmJKVOm9BjX7H4/c+ZQfTozfTpTZ0KjWrFiRY/u7N6a3cc4SxnnbGlp6THOmas7jXNCdenN9OlNvQmNbtWqVTnHO4vpzs2bN/d4vFxducMOO8S+++6bs0kzXzu3HKpLd6ZPd+pOaHSZYzu7z6svXbo0b29mvu587caM7ucQNTc3Z88hyjfeOWbMGOcQQRVpzvRpTs0JvG/lypXZ9szXmd2P8ezo6OjxmRARMWzYsJxjmh/5yEfyHteZ+Xqgf25APdKc6dOcmhP4wJo1a3Keq17M190NHTo0Z1NOmjQp9t9//7zN2dLSEkOHDq3Cs4fGpjvTpzt1J/CB1atX9zrW2Zfxzu5jm93HO3N9PdA/O6DeaM70aU7NCXS1atWqojqz+9+vXLmyx2ONHDky5zXid91117y9mfkTqBzNmT7NqTmBnvqy5uWCBQuy7y2dlbpWujUvoTp0Z/p0p+4EeuqtOxcsWBDz58/vcfvSpUtjw4YNPR6r1O5sb2+P9vZ211GCCtKc6dOcmhMAMpzFBgCQkosuuih+9rOfxa233hrTp0/PDkh873vfi49//ONx5plnRkTEtGnT4rXXXotvfvObMX369HjkkUdi/fr1ERHxi1/8Ij796U/HzjvvHAsWLIh33nknJk6c2OXf6TwY9ctf/jL233//OP300/v12I8++mgcd9xxcf/998dhhx2W/ovVR5/4xCfijjvuiFWrVsU222zT4+/PPvvsePPNN+PRRx/tcvuNN94Yd9xxR1xxxRVx3HHHFfx31q5dGxHRY/GGq6++OpYuXRozZsyIadOmxbp162LGjBlx1FFHxSWXXJK938033xzbbbddfP7zn4/tttsu1q9fHxdffHEce+yx2d+Dk046KW688ca4/vrr45577omIiAcffDDa2trivPPO6/LvZga/DjzwwIL7Xi5vvvlmXHPNNTFhwoRobW2Ntra2aGtri3HjxsXw4cMrth8AtUwbpE8bVK4NBqrMgR4777xzST9X7MHQb731VrzwwgvZA1XWrVvX47G6H5TS1NSU90CV7ltra6sLjwHQhYZMn4Zs3IYcPHhwjB07NsaOHVvyz+brx84HNC9ZsiTeeOON7N8tWbIkNm7c2OOxim3F7tuYMWNixIgR5XgpAGgQ2jJ92rLx2rKpqSmampqivb099t9//6J+ZvPmzT0u/pXrQmBLliyJWbNmdfm7JEm6PNbQoUOzF/gaPXp09s/M1v32zn/vYrQAlEpPpk9PNnZPlmL16tU5Lyrb0dERS5cuzX79zjvvxMsvv5z9fs2aNT0ea5tttsnbi/luy3y97bbbluulAKAB6Mn06cnG68mIvjdlscdMzp49O379619n+zPzv5nOSp3z7nxM5YQJE7IX9wGA3ujJ9OnJxuzJ4cOHx/jx42P8+PEl/2wxx1EuXbo0/vu//zu14yhbWlpcIBaAoujJ9OnJxuzJzjILl5aq2LHKt99+O15++eXs9wsXLuxxTGVE39ty7Nixrp0DQFG0Zfq0pbbMGDx4cIwZMybGjBlT8s8W25nz5s2LV155Jfv9okWLYsuWLT0er9jOzHWNIYurAlAsrZk+rak1cxk6dGi0trZGa2tryT+7atWqLueG5/szM2++fPny7J+5xje33nrrnOeL5zqvJ9f5PwBQiOZMn+bUnIUMHz48u8ZLqVauXFmwPzPnAi1fvjy7LVu2rMfvSsT75yTla81C1zAaPXq0cU8ActKc6dOcmrMv+nM+eufWzHzduTUzX8+ZMydeeuml7O2rVq3q8XiDBg0q+rpGub5uamoq10sCQI3TnenTnbqzXEaOHBnt7e0lt2hE12NB161b1+uxod3PO1q8eHHOcVHntANQLM2ZPs2pOautr+OmEcWft5SZw+/8fa410CP63qqu5wlQuzRn+jRndZoz0ymFbNiwIZYsWdLj+pWZr55/HZAAACAASURBVBcsWBDPP/98zusMZcYdJ0yYEM3NzTm/bm9vj4kTJ8awYcPSfLoAMODpzvTpTmOdAPVIQ6RPQ2gIgHqjH9KnH/QD1JJly5blnAPu/OfcuXNjxYoV2Z8ZPnx4jBkzJjvnu9NOO8UBBxyQnf/N/LnDDjuYB6buaav0aSttBfmUcq5A9zWcu8t3jsDkyZN73JbpnTFjxsSIESOq8MyBStB56dN5Og/StmHDhh4t2Pk6fb1ta9as6fF4I0aMyNmMkyZNig9/+MPZ6510v/5JS0uLboQ6pBfTpxf1IgwUK1as6LGWXaYbC32d65olI0aM6HG958y4Y+emzLRk59tc6xnqh55Mn57UkzDQrV69ukdjdl9TJN9tnY/l6yzXeiHt7e2xxx575OzLzG2jR4+u8LMH0qIz06czdSbUkvfeey/nunX5WrPz18WuZdfS0hJTpkzJO6aZuW3rrbeuwisAlIvOTJ/O1JlQqzLn9XRuzVz92fn2zn+3ZcuWHo+51VZb9WjKzuOcudrTOCfUNr2ZPr2pN6Ee9PWc8qVLl8aGDRt6PF6u88rHjh0bu+yyS69rz7W2tsbQoUOr8AoA/aU706c7dSfUg0LduW7durz3Wbx4cY/3pojc7Tlx4sTYe++983Zn5hwjoLZozvRpTs0J9SLTlL31ZTnGPNva2mK33Xbrdcyzra0tBg8eXIVXAegLzZk+zak5od70da4933WTcnVna2trTJ06tdfuHD9+fPazBRj4dGf6dKfuhHrT1+7s6OjIvr93ZrwT6p/mTJ/m1JxQb9auXdunOfZS59k/9KEPxZ577tlrd7a3t1fhFQBKpTnTpzk1J9SjXL1ZbIcuWbIkNm7c2OMxi1krPbNGeuZ7a6VD7dCd6dOduhPqUTF9ma9DC53P3rktOzdnrm3cuHExbNiwKrwCQCk0Z/o0p+YEgAxXmgUASElTU1M8++yz8Y1vfCNOPvnk2GuvvWLIkCExZsyYePz/Z+9OfhxJ0/uOP5nMJCO4RjBXspauyR63e7pmdfmgwUCAIEO62JbgQ9vwRTZg+yYI8NiC9A+MAEHASICXgyHZhgHBkATZB8kXQzBkaKQeyR6NWjNd3dWeSVd3VTH3DO5bbj6U31dvBCNIJsnkkvn9AAHGQkZmxvRk/up5t//xP/Sk/7/8y78spVJJvvnNb8qf/umfyr/+1/9a/st/+S/y6NEjKZfLcn5+Lu+++678x//4H+V//a//1VPk+rVf+zX5x//4H8vl5aXs7e3J//yf/3PseycSCclms3PfkeNnfuZn5Dd+4zfkvffek5/4iZ/oud5ut0MnkNjd3ZWPPvpI/uW//JcDi1x/+Id/KP/5P/9nERF5/vy5/Mqv/Ir85E/+pHzpS1+Shw8fyn/9r/9VfuM3fkN++qd/WizLkn/6T/+p/N2/+3d996hWq/Jv/+2/1V8vHo/Lz/7sz8rf+lt/S78nFovJH/3RH8m/+Bf/Qv7RP/pH8vDhQ3n+/Ln87//9v3sWJ/vjP/5jicVi8vf//t8f+lmN6/T0VP79v//3sre3J81m03dtbW1Ntra2ZHNzU4rFomxsbMj29rZsb2/L5uam3qeRBsBdRza4eWSD6WWD28a2bbFt+9oD6BqNhpyensrp6WnPIrbmsed58vz5c/mLv/gLfb5er/fcb2lpSRzHEdd1fa/D7tu2PalHAgCYE2TIm0eGJEOOYtT8qCaBMPNj2Ov+/r58+OGHvvNhHalTqdTA/Bj1ms1mJ/U4AAALgmx588iWZMthxGIx2djYkI2NjWt/VtUig1uwJvnxxx/31CfDZDKZkeqQrutKJpMZ91EAABYMefLmkSfJk8NKpVKSSqXk/v371/pcu93WCySYm5rQQeXHk5MT+eEPf+jLmME+gyKv/3cephYZtR+Pxyf1SAAAC4A8efPIk+TJ6xi1zbterw9Vozw6OpKPP/7Ydz5ssYREIjFUdox6ZaEuALg7yJM3jzxJnryuUTNlpVKR09NT3ZfSzIxmP8qDgwN59uyZr3YZthCCbduR+XGYfAkAuBvIkzePPEmeHNWoubLT6UTWJ4P7L1++lO9///u+82EymcxI/Skdx6FPJQDcIWTLm0e2JFtOwqg5U2S4hbXUtru727PgVpioBV0Hbfl8XizLGvdxAAAWBFnz5pE1yZqTlk6nJZ1Oy8OHD6/92UG501zM9fnz575rBwcHcnl52XPPYXKnbduh79ve3qZPJgDcAWTOm0fmJHPepEwmI5lMRt54441rfzYqf5q5U22ffvqpvP/++/r48PAwdB7MQfkzKnuSPwHgdiNz3jwyJ5lzmmzblnv37sm9e/dG+vyw7e8HBwfy0Ucf6ePT01PpdDqh9xy1/Z11EwHgdiF33jxyJ7lzHozTF1Rk9P6gN5FHNzc39e8PAMBiIHPePDInmXORTXrcUljbfVhW3d/fl6urq557jppTabsHgNkic948Mud8Z854PC7FYlGKxaI8fvy473vb7bacnp7K3t6elEol8TzPt7+7uyvf+ta3pFQq9cwrZFmWFItFKRQK+tV13Z79hw8fUsMDANxK5M6bR+6c79wJABgNGeLmkSHIEABw25Afbh75gfwAzAPP86RUKun22rDXFy9e+NYZVP3bVBvtzs6OfO1rX+tpx6U/G/BXyFY3j2xFtsLtd53xpWoL638mEt1ff2dnx3ds9klbX1+XeDw+g58cwDwj5908ch45DxjWKHnxumM8Hz16JF/5ylf6jvEsFAqytLQ0gycAYB6RF28eeZG8CEzSqJny5OREut1uz/3CMmU+n5c333xz4Pof5EoAIuTJaSBPkieBaRg1Z153LuUHDx7IF7/4Rdb2ADAQOfPmkTPJmcC0jZo5j4+PfWNFlGDeVDXMR48esX4HgEjkzJtHziRnArM0auZUa3aECatzFgoFeeedd/pmzrW1tbn/nQ1g8sibN4+8Sd4E5sG0cmfYmPLgZtu2uK475ScAYNbInTeP3EnuBOZBvV6XcrkcuXme1/d82Lj0VColjuP0bG+88YZ86UtfEsdxxHVd3zV17LouY4iAO4TMefPInGROYF50Op2hcmdU/gwbu766uhqaLdX60WGZ1HEcyefz4rouY4qAO4LMefPInGROYJ6cn59fK2cGt1ar1XPP5eXl0Drm9va2vP3226GZ05xbad5/jwOYDHLnzSN3kjuBeXJ2djawfb1fBg37fRWLxULb0IO506yHqsyZz+epdwJ3AJnz5pE5yZzAvBm2nT3qXL929uBWLBblnXfeiWxfV7mT9biB243MefPInGROYB41m82hxxKFXbu4uOi5p2VZobnz/v378vnPf76n/V3NoaTOAbjdyJ03j9xJ7gTmUaVSGaofZ9QWJp1Oh+bOR48eyZe//OXQtnW1n0qlpvwEAEwTmfPmkTnJnAAAKEtXYTOQAQAwJ377t39b/sE/+AehE2YC0zZv/z1+7nOfk48++mhuvh9laWlJfuu3fmtqBZi//bf/trz11lvyq7/6q9f63Mcffyw/8zM/I9/+9rdv6Du7OT/1Uz8l29vb8u/+3b+bytd79913RUTkd37nd0Tkrxbf2Nvbk1KpFLlfKpV6Goksy5JisSiFQkFc19X7wXMPHjxgwCVCBf97BGZp3v57nMdsMIv8RDa4edPOe7fZqIuanZ6eSqfTCb1n1KJmg7aNjQ3yF26tefv3PO62efvvcR4zpAj1pWmYdX0J1zdMdmy326Hv29/fD/3/+ajZcW1tbe47SAKjmLe/08Aw5qlOM6/Zcto5hGx58/h9PZrr1iLNbDnpPJnP58WyrBk8BeBm8fsJi4g8ORh58uaRJxfHqO3bJycnoRPrmnnStu1r5cvNzU09GBy4Lfj9hEVEnhyMPHnzyJOLw8yTUW3bUdvR0ZGcn5/33HOYDBmVNbe3t1msAbcKv5+wiMiTg5Enbx55crGEZchhs+Xh4WHkQgzXbfNWGbNQKMjS0tIMngQwefx+wiIiTw5Gnrx55MnFRZ9K4OYwjhCLZt7+vs5rtmTc981j3PftcVN9La/bz5K5hHAbzVM9CBjGvP29ncesyTyV08E8lbfTqLmz3W6L53mh96TGCczf329gEOqbw6G+efOob95+o+RP1c6+t7cXek/yJ+6qefv7DQxjnuo985o56a958+ivefcEM+h1xqYzLh2Yr7/fwDDmrd4zj7mT9vXpoH0dyjhj2g8ODuTy8rLnntREcdvM299vYJB5q/fMY+YUoX19Gmhfxzg6nY7OneVyOTSPRp2v1+s991tZWRHHcUJzqDrvOI5v3zwXi8Vm8BRwl8zb329gGPNU75nXzEn7+s276+3rqoa3t7cnpVJJv5rnPM+TFy9eSK1W833WdV0pFAriuq4Ui0UpFAr61TxH+zFwu8zT329gGPNW75nH3En7+nTQvo67bt5+HwODzNu/3+cxQ4jQXjoNtJfiLuO/Rywa8sNwyA83j/wA3LxutyvHx8ehbavm66effuobu2tZVt92VfV6E2v8US/Eopm3vy/zmK1o35kO2newiK47/53KL+12u+deg8Z4mplGbevr6xKPx2fwk99N81aPAIYxT3/v5jHnidB/fBruev9x3F2jrtUx6bWIb6L+hXD8/sEiIi8ORl68eeRFINqomfLw8FAuLi567jdqplxbW5NEIjGDJ3C38PsJi4g8ORh58uaRJ4HricqYw8xpPOn5jG3bFtd1Z/AU7pZ5+nsNDIP+jIPRn3E66M8IjG7UuqbKpWGobc4f/n2MRTRPf2/nMWeKUM+cBuqZwGQMmznD6p6TqHMG1xOmn+bk8fsLi4i8ORh58+aRN4HJmmXuDGZO13VZf+QGzNPfb2AYtKcPRnv6dNCeDkzeqO3sp6en0ul0Qu9JO/t8mLe/38Ag81bvmcfMKcJ839PAfN/AzRgld6r656TmQzJrn7S1T8a8/f0GhjFP9Z55zZy0r9882teBm3Od3Blsbx+1rT2sjV1tW1tbEovFZvAkbpd5+vsNDGPe6j3zmDtpX58O2teBmzNO7hyn3hmVPenjOb55+/sNDDJv9Z55zJwitK9PA+3rwM2adTt7MH+SO8czb3+/gWHMU71nXjMn7es3j/Z14ObN07gi5owf3zz9/QaGMW/1nnnMnbSvTwft68DNCmbOYdYnUtvx8bGcnZ313NOyrL79N/tt6+vrEo/HZ/Akbod5+/sNDDJv9Z55zJwitK9PA+3rAAD0Wpn1NwAAAACM4z/8h/8gP/qjPyq/+Iu/KFtbW0N9ptlsyr/6V/9Kfv3Xf/2Gv7vJ+9M//VP5+OOP5Td/8zdn9j3Yti22bUuxWJQnT570fW+9XpdSqSSHh4dyeHgoe3t7cnh4KPv7+7K/vy/f+9735L//9/8uBwcH0mq19OeWlpZkY2NDNjc3ZWtrS7a3t2Vzc1MKhYJsbW3JxsaGFItF2djYoNEJAOBDNsAiMXPVdV23I9Du7q7ePzo6kvPz8557jjPJG4MeAQCLjAyJRTBOdhS53uBFMzuenJxIt9vtuV9YLhy2UzkTBAMAbjOyJebVvObJUQYmbm5uysoKXV8BALcTeRLzbJLt24MWkDAz5aiLmDG5GgDgLiJPYp7NqkbZbrfF87zQe46aKRnDAgC4rciTmHezypQ3sQjExsaGrK6ujvM4AACYO+RJLBL6VAIAMN/IllhkN9XXMmxeITNrHh4eysXFRc89h8mXUTmUuYQAALcRWRO3xbzVOEXokwkAgELmxG00b/nTsqyR2tfpvwkAuC3InLgLxsmgV1dXUi6Xda4sl8v6OLh/cnIiP/jBD3zn2+12zz1XV1fFcRxxHEdc1+3ZD746jiO5XE6y2azkcjlJJpOTeCwAAEwVuRN32Th59OLiQufNQa8HBwfy7Nkz3/mwdSXV/JnBzKlyZy6XizyXy+XEtu1JPBYAACaOzAlcTyKRkO3tbdne3r72Z8/Pz0Pb6M1aqto++ugjXz21XC6H3jOTyfhyaFgNtd81AACmgcx595i1vSdPnvR9b6vVkr29PSmVSuJ5nt5Xr9/5znfk93//9+XFixdydnamPxePx2VtbU1c15VisSiFQsG3b54rFAqytLR00z82AACYMXInAAAYBRkCAABcF/kBwHW02205PT3taQcNvh4cHMjl5aX+nGVZvrbPJ0+e9LSF3rt3jz5gABYe2QqYnm6361sXeNj909PT0Dno8vl8z/bo0SP5G3/jb/jOra2t+Y5ZcwMA7gZyHrA4Go2GbwxjcDPHPJp50fM8qdfrPfdbXV0NnYf4jTfekC9/+cuR8xTn83lJpVIzeAIAgFkgLwK3i8qOlUqlZ463QfutVqvnfvF4PHSe4YcPH8oXv/hFnSHV+eB7AQC3H3kSuBuus86auY2yztrOzk7fddY2NzdlZWVlBk8BADBN5EzgbonKm+12e2AWPTw8lIuLi557Rq3pG8ybYbl0e3ub/pUAcEuRM4G7K5grh8maajs6OgpdOy0sc6r11KhzAsDdRN4EME6tk9wJABgWuROAyOj9OlU+DTNsO3tUPgUA3B5kTgDKsLkzrAYanN9bGZQ7o8Ybua4rW1tbEovFZvAkAACTRuYEYBqUO/u1uV93XFG/vElbOwDcPuROAKZh6p1R2ZPcCQCIQuYEEEQ7OwBg0sicAMKMOq6o3W6L53mh97zuuCIzhxYKBVlaWpryUwAATBK5E0CQypzXmbdz0DpFIqOPZ8/n82JZ1pSfAgBgksicAABARITe0wAAAAuq0Wjo11QqNePvZnY2Nzfld3/3d+Wf//N/Lr/+678uyWRy4Gd2d3fll37plySTyUzhO5ycvb09+cY3viF/8Ad/sDDfezqdlrfeekveeuutge9VDWB7e3tSKpV8+3t7e/Jnf/Zn4nmevHz5UqrVqu+zqsGrWCxKoVDQDVrBY9d15cGDB5LNZm/qRwaAmSEbvEY2wF1h27bYti3FYvHan726upJyuSye5/leg/vlcllOTk7khz/8oe9aq9XquefKyoo4jiOu64rjOL5981wul5NsNtvzyqIaADAbZMjXyJC4C8bJj9VqNTQzhr3u7e3Jd7/7XX1O/Z4xxWKx0Lyo6ndqP5fLhebHXC43iUcCAJgwsuVrZEvcVuPkyVqtFlmDDO5/8skn8v777+vjWq0Wes+wOmTUfjBPUosEgPlEnnyNPInbapw8eX5+Hpkj1WQa6vzBwYE8e/bM956zs7Oee1qWFdmmbe6b7dxmprRtexKPBQAwQeTJ18iTuM3GyZRq0t9+NUr1WiqV5IMPPvCdu7q66rlnJpPpW5c027zVZvahjMfjk3gsAIAJIU++Rp7EbTdOpmw2m31zpLn/8uVL+d73vqfPVSqV0HuqjNhvHE6w76RZr2TBXQCYH+TJ18iTuEum3adSnR+lT2UwU4Zly9XV1XEfCQBgQsiWr5EtcVeNkzMvLy+vNZfQD37wA9+5fnMJhWVNM2MG8yZt4wAwn8iar5E1gdfGrXGaWTIsc6rtxYsXuv1cbWHMPpnmuHA1R6XaNzeVPdVxIpEY97EAAMZE5nyNzAn0Gid/qvVrglu73Q69tru7q/cPDw/l4uKi555qXRvbtvV+cOt3LZ/Pi2VZk3g0AIBrInO+RuYE+ltaWtLZbVRROTS4vXr1Sr7//e/r4+Pj49C5jkRkpOxpXi8UCrK0tDTyzwQAGB658zVyJzCaWCwm6+vrsr6+PtLn6/V6376g5rmXL19KpVKRSqWiz4XNkxSPx33jiMLm2TT3zWP1PrIoAEwWmfM1MicwPSsrK7KxsSEbGxsjfX7Ymmm73fa123ueJwcHB3J5edlzz3510UH10+3tbVleXh73sQDArUbmfI3MiX5s25adnR3Z2dkZ+N5WqyV7e3tSKpX0q1q/u1QqydOnT6VUKsnR0ZGcn5/rz6ksUywWpVAoRO7fu3dPHMe5yR8XAIAbQe58jdwJAMD1kCFeI0MAADA88sNr5AcAIoPbLtXr/v6+b3yB67pSKBR0G+Xjx4972i0fPnzI/+eAO4Bs9RrZCrieq6srOT099fUTN4/77avfO6ZEIqHnczPndnvzzTf1ftTGWEcACEfOe42cB0xPq9UKXZti2DUswuZqW11d1Wukmdvjx499uTFsLGI6nZ7BUwCAxUFefI28CMyPVqsVudbEMGtSBMdyKmHzU5i1x35zADPvLwBEI0++Rp4E5t911zkLXr/ufGk7Ozt951BjjTMA6I+c+Ro5E1gclUpFqtWqb1NrRJjXzH11TbWVh9U1bdvWbeVqXQjXdeWNN96QL33pS6HXzFfqmgDgR858jZwJLKZut6vzpMqQKmOq88Hrw/TPtCzLt16Z2h48eCBf+MIXIrOm2lZWVmbwNABgPpE3XyNvAout3W778qVZ44zKncF1dcPa1sNqnY7jyMOHD+WLX/ziwNwZi8Vm8DQAYD6RO18jdwKLL6y2qfY9z/O1rYeNSw+bt0hEQjPl5uamvPXWW6G1UPN9jEkHgNfInK+ROYHbodls9tQ3g307B82RFCaTyYTmy+3tbfnKV74SmjfNcwBw15E5XyNzArdHu92OrHGaOTSq3ul5Xuh9U6lUaO6MGlcUPF5eXp7ykwCA+ULufI3cCdweg3LnMHPBh0mn06G589GjR/LlL385sq2d8ewAQOZUyJzA7dJqtSLnTwrWOsO2SqUSet9sNhuaLQuFQuh52tkB4DUy52tkTuD2qdfrA+fn7LdNalyRufH/OQB3GbnzNXIncPsE29WH6dNpbt1ut+eean314FYsFuWdd94ZmDtt257BkwCA2SNzvkbmBAAAIiKs7AAAALBgGo2G/NIv/ZK8ePFCRER+7ud+Tv7ZP/tn8iM/8iMz/s5m5/Of/7x84xvfkH/zb/6N/PzP//xQ71805+fn8p/+03+S3/zN37y1BS7btsW2bSkWi/LkyZO+761Wq1IqleT4+FiOj4/l8PBQDg8P5fj4WI6OjmR/f1/ef/99fT3Y0JbJZGR7e1s2NjZkfX1d1tfXZWtrSx9vbGz4ji3LuskfHQDGQjboRTYA+ltaWtKTdIyi0+n0LBAXtb+7u+s7V6lU5Pz8PPS+uVxOstmsZLNZvZ/L5SSXy4njOL5z5qu6lsvlWMwYAIZEhuxFhgSiqYz2xhtvXPuz3W7XlxPDsqN6NbOj53lSqVTk4uIi9L6u64bmRrVvXg/LkUwaAgCTQ7bsRbYE/DKZjGQyGXn48OFIn2+1WuJ53sDt8PBQnj175jvXbrdD72lZlriuK7Zt6/2wLer62tqaJBKJcR4LAOD/I0/2Ik8CfisrK7qP3yiCebLdbkdmzE8//VTef/99X8aMqlFG5chhM+b29jYLuQHABJAne5EngV6WZUmhUJBCoTDS58MmiAtr+z49PZUf/vCHvjbvqMmKbdvuae8eph3cPKZGCQDjI0/2Ik8C4ZLJpCSTSbl37961P3t1daUzYr88WS6XZX9/Xz766CN9rlqtSrPZDL1vKpXqyY1qouFgpozKlaurq+M+GgC408iTvciTwGDj9Km8uLjoOy7H3C+VSvLBBx/4Fv0dVK/sV4+MGvettng8Pu6jAYA7jWzZi2wJXM/y8rLk83nJ5/Mjfb7dbvcskhZcQE0dP3/+3Lfo7zht42GZk7ZxAJgssmYvsiYwHlXjfPDgwUifN9vOwzZzkd/d3V09f6U612q1Qu+bSCR8OdJxHD1nkrmZberBeS8dxxnn0QDAnUXm7EXmBCbHXL/muq6urkLb1SuVii9jqv29vT159uyZ71pU7dOyLF+eVHVPM1+a2TQ4H2Y2m+X/OwBwDWTOXmRO4GaNk0MrlYqudarsabavqzHo1WpVTk9Pe66Xy+XQ+66urvbt4xmsj6oaqXk9mUyO+2gA4FYjd/YidwLTl06nJZ1Oj9wmf525N/f39+XDDz/0vbdcLsvV1VXPfYPzaw6aczP4XsdxZGlpadzHAwALj8zZi8wJLIZxaqYiw685ZK6BPuyaQ9fdbNtm/UoAtxqZsxeZE5Ng27bs7OzIzs7OwPd6nielUkk8z5O9vT0plUr61fM8efr0qZRKJTk4OJDLy0v9OZVvisWiFAoF/Wqec11XHj58yP/OAICZI3f2IncCADAYGaIXGQIAgP7ID73ID8Dt1Wq1etoXg6+vXr2SSqXi+5zrur72xcePH/uOi8WiPHjwgHXqAJCtQpCtcBddp1+3uR0dHcn5+XnP/cL6dD98+FC+9KUv9e3TXSgUGG8IABNCzutFzgOGN2o+vO64v+3tbfnc5z4XOd5PfYacCACTR17sRV4Exnd2dqbnzzXn2Y3awt4XVm9cWloSx3H0nLvmtr29LV/+8pf1cfB96ph2UQCYLPJkL/IkcDNarZZvDTFzjTHzfL/rUTXLVCoVuqZDoVCQt99+u2ctW7W5rqvXHAMATBY5sxc5E7hZqqZZrVbF8zy9Tq2ZMYPXzPPqWhhV1wxbq3Zzc1NfC+ZMcz+RSEz5iQDA7UTO7EXOBKar3W771q9VNUyzjhlcsza41m2r1Qq9d1Sd89GjR766ZljudBxHbNue8tMAgNuHvNmLvAnMRr1e72lHN/NlvzZ2da7b7YbeO5PJ+OqcKnfu7OyE1jaDG7VOABgfubMXuROYjfPz854sGWxLV2OFws6rz4aJxWKSzWbFdV1f7szn8/Lmm2+GZs3gBgAYHZmzF5kTmC2zthnWrzPqmtnmHjZuXUR0f87gmKFisRjZzm7WP2Ox2JSfBgDcDmTOXmROYPaC44TMOqbZj9O8rtri1blOpxN6b7OPp5kp33777b59O9XGfEkAMBpyZy9yJzB7/drXzX6cwexp1kmj+nimUqmeWqeZOwf181xZWZny0wCAxUfm7EXmBGbv6uoqsq5p1jz7tbNXq1U5OzsLvX86nfbNlaS2+/fvR45pN/Pn8vLylJ8IACw2MmcvMicwH87Pz0PboEY6qAAAIABJREFUzcOyZ79cenl5GXr/sMy5vr4un/3sZxlXBAA3gNzZi9wJzI+oddXb7fZQ146OjiLHFYWtr761tSVvv/0266sDwISROXuROQEAAL23AQAAFkwqlZJvfOMb8o1vfGPW38pc+cxnPjNUgWtRraysyC/8wi/M+tuYG2rSvmGpRru9vT0plUq6QU8dHx4eyrNnz2Rvb09evXrVM3GL2aBXLBalUChEHt+7d4/OYwCmimwQjmwA3JxEIiHb29uyvb090uebzWbPwnXBhUTM193d3Z6JUKIWU04mk74F7dRCI8FzwUXvMpmM3q6TMwFgUZEhw5EhgcmLx+Oyubkpm5ubI32+0Wj4BocGF0QO5sf9/f2efBk1aUkwE/bLkGo/k8mI4zh6n0WRAYBsGYVsCUyObdti27YUi8Vrf/a6tci9vT358MMPfefa7Xbovc1FP8zFP1ReDKtFOo4juVxO0um0ZDIZSaVS4z4eAFh45Mlw5ElgcsbJkyLiW6Q4rCZpXj89Pe15n+d5ofeNxWJDtWcHr6t2bVW3ZHJlAHcdeTIceRKYrHEmGD4/P9eTH5uLb0S1g798+VI++OAD3/l6vR5670Qi4WvPVtkxqp+kqk/SXxIA/gp5Mhx5EpispaUlPf54FGdnZz31yGCWVMflclmeP3/ec73ZbIbeOzgGx8yN5mbWJ13X9WXKdDo9zuMBgIVGngxHngRuTiwWk/X1dVlfXx/p89epV3qeJy9evOjJnFH1SsuyfPlR1VWjxuaoXKmOVTs4ANxVZMtwZEtgeizLGmsuoZtsG7csq28NU2VKlUPNjKnmq3Qch8XdANxZZM1wZE1gdsZpP1fCFg6OWlC42WzKycmJ79zJyYl0u93Qe6s5yM3FgvstJBx2jfwJ4K4hc4YjcwKzt7S0JPl8XvL5/Fj3uU7+PD4+lpcvX/quHR8fR86HGcyV182h6+vrEo/Hx/r5AGARkDnDkTmB+aTassdh5smo7GnWO1+9euV7z9HRkZyfn4fee5S6p3l9e3ub+Y4A3FrkznDkTmCxjDv3pkh4TbRfjXR3d3ekeuh1cunGxoasrq6O/DMBwLwgc4YjcwK337g5dZiMqjYzn56enkqn0wm95zD5NGxbW1tj3UoAc43MGY7MiWkadtxMt9uV4+Nj8TxP9vb2pFQq+fZ3d3flW9/6lnieJ/v7+3J1daU/a1mWFItFKRQK4rqu3g+ee/DgAXU1AMCNIHeGI3cCANAfGSIcGQIAgGjkh3DkB2CxeJ4npVJJtwOGtQ1++umnvnmZE4mE5PN53f63s7MjX/va13raA9944w2JxWIz/OkALBKyVTiyFRbRdfpWDzMXb1S/6p2dnb79qre2tsgiADAHyHnhyHm4K0bNhu12WzzPC73ndfJhcH4I5icDgPlDXgxHXsRdF8yRg+a9Db4vON5RiVrz6969e/L5z39+YJ6k5ggA84c8GY48Cfi1Wq2BmXKY62GiMmahUJB33nln4Fy2zBcGAPOJnBmOnAmEUzmyX6YcdK1cLofWNEXC28jX1tbk/v37Q63xRV0TAOYHOTMcORMY7OLiQqrVqpTLZanValKtVqVWq0mtVpNyuSzVatW3VSoVqVar4nmeVCoVfRy1HkImk5FcLifZbNb3urOzI47j9JxX+47jiOM4ksvlyJwAMAfIm+HIm8Dw2u22zpme5+l9M3uqbBn26nmeVKtVubi4CL2/yo7BfLm5uamzZfCaelWfZUwQAMweuTMcuRMY3tXVla5r1uv1nlpnrVbryZsqa6rjarUqjUYj9P6WZfnypOu6ks1mZXt7W9566y193qxxqmN1LZ1OT/mpAABMZM5wZE7g+sJqnGrfzJblctnX9m5eq1QqofeOxWK+2qWZKe/fv983b5p1z6WlpSk/FQCACJkzCpkTGE2j0dA5U2VItW/mSlXnDGZOVQMNs7S01JMrVZ7c2trSuTKYN9Wxqo/SxxMAZoPcGY7cCYxGZU7Vzq76eQZzZ6VS6RlrZLbBh1leXg6td6q2djNbBjOn2S5P7gSA6SNzhiNzAqMrl8s6c9br9dB82S97qn6gYVZWVnRbujlePZvN+trZg23rZp9PxhYBwPSROcOROYHRXV5e6pqlyp4qY/bryxnMns1mM/T+iUSiZ4x6NpuV9fV12dnZ6cmXwZqougYAmC5yZzhyJzC6s7OznrFEZs4051EKbmoOz2q1KmdnZ6H3T6fTPTlSzQX/1/7aX+vJmWFt7oxnB4DpInOGI3MCAHC3rcz6GwAAAACAm2bbtti2LcViUZ48eTLw/eai03t7e1IqlXqOd3d3xfM8efXqVc/A3agFpsO2YrEohUJB1tbWJJFI3NQjAAAAmBvJZFKSyaRsb2+PdR8zs5lbu93uuba/vy8ffvih79rh4WHkAnsqz9m23ZPtrnOOwbAAAADjSaVSkkqlpFgsjnWfqOwYlh9LpZJ88MEHPe+JYubAsFw4TIbc2NiQ1dXVsX5GAAAA9JpFLXJvb0+ePn3qu35wcCCXl5eh9x6UJ4c5R1szAADAzVGZaxxmZgzLkMFrn3zyie/8ycmJdLvd0HtbljV2u7ZlWbK1tcUCIwAAADdgZWVF8vm85PP5se4TzJD9cuXh4aE8e/bsxvpLhp3P5/NiWdZYPyMAAADCra6uyvr6uqyvr491n1HG4Eyz3Xt9fV3i8fhYPyMAAAD6m0S98uLiQi8gpxYyVot5mPvlclnK5bK8fPmy51rUIsciohf2yGQyenNdVzKZjO+8udhc8L3ZbJb2bwAAgCmbRNZUixubC8YF86a5oFypVJKPPvpIKpWKXpTO87zI+6fTaV+uVIsbm+fUAsbB/Knem81mqWMCAADMAXOe8VG1Wq2hxviY59Rc5NdtRx9lXiLa0AEAAObHpPLnoPFAwesqfw6aD7PfuKBBWVRdG3csPQAAACZrkhl0mByq5tA033N8fCxnZ2eh9x4ld5rXt7e3WcMHAABgjo2bR83xRsExSGpfjTs6ODiQjz/+2He91WqF3leNJVKb4zg9+47j6M18bzablVQqNc5jAQAAwAyNk1GvM49nsK0+qk46zJqVURtrVQIAACUej0uxWJRisSiPHz/u+952uy2np6eyt7cnpVJJt/Gq/d3dXfnWt74lpVJJyuWy77OWZUmxWJRCoaBfXdftObe5uSkrKys3+SMDAAAAAAAAAAAAt4bneVIqlXS7XdjrixcvfP2PVD8j1Ua3s7MjX/va13ra7hiDCQDA3TBoDoiwOSFKpVLoXGRR/Zl3dnbo2wwAADDHrpsJzbFx+/v7cnV11XPPYbJh1Ji4ra0t1oAFAACYc4PW2xo0t8LR0ZGcn5+H3ntQluw3twLrbAEAACymUdbTMrfT01PpdDqh9+43T1ewLTssa9KeDQAAsPiuOx9s8Pqwa2f1y5tRdc18Pi+WZU35iQAAAGCS2u221Go1qdVq4nmeVKtVfVyr1fQ6WOa5arUq5XLZ995GoxF6/6WlJb3+VSaTkWw2K9lsVnK5nLz55pu+tbHUeXNfXWe8MAAAwGLzPM+XKWu1Wk+mVPmzUqmE5s9arRZZ64zH45LJZHrWXc3lcvLgwQN97Lqu71rwFQAAAIutXq/7sqTKoeb5YDat1+uh56KoGqeZJbPZrOzs7PiOzX3HccRxHH2esUMAAACLb5i+nYPO9evfKRI+Zn1jY0PeeuutvuPV1TXm5gYAAFh8k8idJycn0u12I79GWK5cW1uT+/fvD8yczL0JAACw+KLm5QyeG6feaVlW5LxI1DsBAADuhmFz56Bzw8wLH8yX29vb8rnPfW7g3PC2bYvjOLK0tDTlpwMAAIBJ6VfTvE72rFQqcnl5Gfo1oubvLBQK8s477zB/JwAAwB0was4Mfs7zvMivEcySKl/ev3+/b59O1sIEAAAAANw2K7P+BgAAAABg3ti2LbZtS7FYlMePHw98f71el4ODAzk6OpKjoyM5OTmR09NT3+urV6/ke9/7nj4OW4wwk8lIPp+XtbU1WVtb0/v5fL5n3zxmUhoAAHAXmZltFJeXl76F/NRiK/3OnZychL4vahLCWCymF0/JZDJ6G3QulUpJOp2WXC4nqVRKkskkC/8BAACMYdzs2G63Ixfmi1o0em9vTz766KOeRaOjmNkwnU6L67q+c5lMRi/OZ77PcRxJpVK+DMlkggAAAJM1bp68uLiQSqUSmhvNOqOZGw8ODuQHP/iB71y5XJarq6vI7zEsN6bT6dAsmclkJJfLSS6Xk2QyKalUSnK5nKTTaVldXR3ncQEAACBg3Dwp8rqPYrVa1XmyUqkMzJbHx8fy9OlTKZfL+lyr1Qq9/9LSUt/MGGzbdhxH581kMimu6+q27UwmM/LPCQAAgHCTyJSe5+kMab6aedFsFz86OgptF7+4uAi9v2VZOjOa7d0qY0Zly2w2q9u8qVECAADcnHEz5fn5+cA+lGbNslqtyv7+vvyf//N/fBm0XC5Hfg3Vvm3mykE1y1QqJY7jSDqd1rnSdd1RHxMAAAAGiMVies6bcZi50mwHV23eZrb0PE9KpZI8e/as571Ri9+ptmuVIVUbd1jeVFlSjfNWuVLVL5nTBwAAYDqWl5f1onDjCOtbGWwXV23l1WpVjo+P5f/+3/+ra5zqvWdnZ6H3TyQSvr6UwRqm4zi67TuVSulMGnacSCTG+lkBAAAwOtWG7rru2HNZmm3maryP2jevVatVOTo6kg8++EDK5bJ+b1T2TKfTuk6p6pcqb6q+l2ruoeD8leb1bDY7zqMCAADABKj8OY5Wq9WTNVWmDObQSqUi+/v78vHHH/uu1ev10HsnEgmdOx3HiZy7SB2buVMdq3Z4AAAAzIdJjE1X2dLMneamMmmlUhHP8+T58+e+93ueF3rflZUVPT4oqn/noHnZVds7AAAA5o/KeuNotVrieV7k1m639Xs+/fRTef/99/W14+PjyHZ4y7J0X1Xbtn3Hw57f3t5mPSAAAIAFMm6t9DrZ1PM82d3d1fuHh4ehc3eG5c1hMqnrurK1tcXYdwAA7iDLsqRYLEqxWJQnT570fa/KJnt7e1IqlfSrOved73xHPM+TFy9eSK1W833WdV0pFAp6rE2hUNCv5jlqZAAAAAAAAAAAALiNOp2OnJyc9LS1BdvcPvnkE1+/INWep9rXnjx5EtneBgAAbpdBfY2jtoODg9A1t6L6EO/s7Pj675jX8vm8WJY1g58eAADgbuuXBYNjzsKujZIJ+407c11XNjc3ZWVlZQZPAwAAAIME11Kt1Wq+c/V63beOqnnO8zw91+v5+XnPvZeXlyWXy4nrunr+L7UVCoWec2Hvo8YIAACwOC4uLvSaAfV6XWdHtWaqec7zPJ0vg2sNlMtlubq66rm/ypdqzVS1PlUul5OHDx/KF77whcjr6pX1AwAAABZXtVqVRqOh65Mqd6rN8zyp1+vSaDRC11RV55rNZuj91Zqp5rpV2WxW1tbWdKZU19U187w6BgAAwGJqtVq+LNloNHqOVY3TrG9Wq1Vd56xUKlKr1aTb7YZ+jXg8rrOjuU5qNpuVzc1NnTPNdVHVe81z6XR6yk8HAAAAk3B2dqbb0FXeVJlSHZu50sycYX09o+RyOZ0dzUy5tbUln/3sZ/V513V978tkMr7smUgkpvh0AAAAMClXV1dSLpd1+3mj0ejJoCpfqppnVOaM6s8p8nodVjNHmrlya2vLly3T6XRP3lQb7ewAAACLq1wuS7PZlGazqeuazWZT10H7jV8Pngsbpy4isrq62pMlVb4sFovy9ttvR2bO4LlYLDblJwQAAIBJUPXNZrOp+2yqPp1qzJA5J1JwXPuwuTOdTvva0c3c+dZbb/W0rZvvU+3y6XRa4vH4lJ8QAAAAxqXmTFI1zkajIZ7nSbPZHGr+pGD2jGpnTyQSul+n6usZVu9U51VtU73HzKzM9Q4AALB4Op2ONJtNnTVVzXPYnBns9xklmUxGZspisSiPHz/2ZVGz5qnOqZrn0tLSFJ8QAAAAJsGsc6q5N835O1Wu7Ff3VMetVivy64T11VTHGxsb8vjxY92Ors6reT7T6bRua2dcEQAAwGIK1jnNTDkoe5pzetbrdTk7Owv9Gmp9orB2842NDV8fTrMN3qyNqnpnMpmc8hMCAAAAAGB+0RMdAAAAAMakGibffPPNoT/T6XTk9PRUTk5O5PT0VG/q+Pj4WE5PT+Xp06e+82Ed+XK5nKytrcna2prk83n9GtzP5/PiOI7uvEfDKQAAuMuWl5fFdV1xXXci92u1WuJ5nnieJ+1223ccdm5/f1+eP3/uO3dychK5+LWIiGVZYtu2WJYlruv69oPHw1zb2NiQ1dXVifz8AAAAt5llWTo/jUvlv2Eyo+d50mq15PT0tOd9nucN/J6vmxOj3ru5uclEhwAAAGOIxWK6vXZcrVZr6Cypzr169Uq+//3v+84dHBzI5eVl5NcZtwZpHq+vr7NgCwAAwJhUH8VisTj2vWbRtj1unXJS7foAAAB32U31lxwmW758+VK+973vTbxGSZs3AADA9KysrEwsU0a1e0flymazKScnJ6Hv7WfUHBk8zufzYlnW2D83AAAA/sqksmWj0ZBqtaoXeVYLP6sFnmu1mlQqFb1QSrlclhcvXvS8t1+2tCxLUqmUb/ET8ziVSkkqldIL86VSKb04ijpOpVLiuq6kUin6UwIAANywbDYr2Wx27Pu0222dKdVCe2bOrFarUi6Xffnz4OAgdFG+KCsrK5LJZCSXy+kceZ3jVCqlF+pLpVLUMQEAAKZsUnNZtlotqVQqUq1Wdc40j83N8zx58eKFL3OWy+W+i0CLiF4A2syU6tisZ6qapuu6PfVOVQ9lPnMAAIDZsG1bbNuWra2tke9xcXGhc2W1WvXlTrWv8milUpHT01P59NNPdZ1UZdBGoxH5NcycmcvldBZV7e0qawbfo66b72HedAAAgNlSaxyOQ2VLlTnN43K57Gt3r9VqcnR05OvfOajdXWVJtanv2TyXzWZ1jdPcXNfV+7S3AwAAzBdVDx117s1grdMcY6QyqKqN1mo12dvbkw8//NB3PqoOury8LLlcThzH0XlUvarz6ly/86lUapxHBAAAgCkZN5uGza8Ute3u7vrmX9rf35erq6uee5pzJA2zmfMoFQoFWVpaGvexAACAOWbmlydPnvR9b6vVkr29PSmVSuJ5nt5Xr9/5znfk93//9+XFixe+MSvxeFzW1tbEdV0pFotSKBR8++Y58gcAAAAAAAAAAABmTfXhCbaHBV+D6+taluVrA9vZ2elpE3vw4MFE5kEGAACzc53+vuZ2dHQk5+fnPfeL6uu7s7PTt88v/WwAAACmw5zz35wby1wbIOzVvN7tdkPvreYTUPOsqv1isShvv/2275qag8DcJrG2KwAAACYnOC+qmitVHatz5nHUuShq/n61qXmqHMeRBw8e6LlT1VyranMcxzf/KgAAAOabWi+qUqn4MqU5X6paEyosd6p5VOv1ujSbzcivY67/ZObLfD4vn/nMZ3RtMpfLieu6PTVL9XkAAAAsjm63q9e3r9Vq0mg0pF6v66ypcqa5Fql6j6plqq1SqUR+ndXV1Z51SFW7+M7OTk+uVJtqD1fHiURiik8HAAAA42q1Wr56psqS/Y4bjYauhwaPzTG8QblcTlKplK5vqhrm2tqaPHr0qGf9p+A6paq+SeYEAABYLM1mUxqNRmimVOuJNhoN3d6ujs16Z6PREM/zpNFoRI75EXm9hkMqlQpd616NAzfPqXZ3lTXVlsvlpviEAAAAMAlhubPZbPpyZrPZ1LlS1T7L5bL+rMqozWazb1/OlZUVXx9Oc/vMZz7TM5bIzKFmfTSTycjKysoUnxIAAAAmwZzbUq1RH3Y8zLXDw0O5uLiI/Fpq3ktz7XrXdWVjY0MePnzYMy9m8H3qnOM4zIMJAACwQFqt1tDZcpgcWq1WR8qdm5ub8sYbb5A7AQAAbqmwDDlOzbNcLsvV1VXk1zMzpJkpC4WCvPPOO5E50zyXz+fFsqwpPiUAAACMa5h8ed0c2k9UplS5s1+NU51bX1+XeDw+pScEAACAcQXb2MfNnsfHx3J2dhb59aLa2G3b7lnHvF/23NzcZFwRAADAArluPXPQ+wbN3RnVxn7dvp25XE6Wl5en+KQAAAAAALgbaOUBAAAAgBlIJBJSKBSkUChc63Nm422/7fnz5/Ld735X9vb25NWrV9LpdELvF2yc7ddwG/YeJukBAAB4zbZtsW1bisXiWPdRi9GoxWrUgjPlctm3OE3w2snJSeS1ftLptKRSKUmlUuI4jiSTSUkmk5LL5XquxeNxSafTkk6nJR6Pi+M4YlmW2LYt2WxWEomEZDIZSaVSDG4GAACIoHLjuLrdrm9x7GCGVAtrmwtpq0x5fHwsT58+1Qscqmv9ZLNZSSaTOhuqnJhOpyWXy0kqldI5UtUWHceRRCIhqVRKMpmMJBIJfZ9EIiGu6479HAAAAO4alSdd1x2rFnl5eSmVSkWq1arOk+VyWer1ujSbzdAFstVi2p7nydOnT3tyaL+BxipLZjIZyWazOk+G1SEty5JkMtlTc0wkEr6aJIOOAQAARjPJtm1Vf/Q8T2fHWq2mc2ZYnXJ/f1/vm+9ttVqRX2tlZUUymYzkcjmdLXO5nGQyGX3suq6v9mjmRsuyIuuUAAAAuL5JZEqzRmm2W4e1cavsqNrDT05O5OnTp7pm2Ww2xfO8vl8vLEuadUnV5p3JZCSdTksikdCfCWZMsy0cAAAA1zepdu9gP0pVswzLkeq4Wq3K4eGhr35Zq9WkXq/3rVHG43FdhzT7T5r9KTOZjGQyGbEsS+dKy7J0G7llWTpjqj6WAAAAGI/KYteduyfo4uJCqtVqT1u3yormsVm/3Nvb8+VQs74ZZXV1VWdJ1X8yLFsG86Qay21mS3MfAAAAk2VZll6oeVzBGuWg42q1Kqenp/LixQt9rLJmtVqN/DqxWEyy2azOiqlUSrLZrGSzWUmn07q9W9Vo1TxDql6ZTCZ1v0tzHwAAADdL5bPt7e2x7tPpdHTtMljbDGZKlUHr9bocHh7qdvZ6vS71er1vn8zl5WXJ5XK6XplOp3XuVLVMNW+5mTtVvlTZVLWx27Yt6XR6rJ8dAAAAw4nFYnqdmXFcXV1JuVzWObNer0utVtPt5urYzKJm9lTX1TzqURKJhJ7r0pyjSM1fpOZRV2PM1XxFasxQ2DUAAABMl8py4/I8T2q1mm9TmdQ8V6lUpFKpyOHhofzwhz/UcxupHNrtdkPvr/p2uq6r+3CaY9IHHZvztGcyGVlZWRn7ZwYAAMDoVBv2uMy1w9vtduha4ub5UqkkH3zwge/8wcFB5Lzt5nrhUeuHDzq/vb3NHO0AAABzbNx5O8MyaNS2u7ur909PT6XT6YTeMyxfDrOtra0xnzsAALeMbduys7MjOzs7A9/barVkb29PSqWSfvU8T+8/ffpUSqWSHB0dyfn5uf6cyh7FYlEKhULk/r1795ibEQAAAAAAAAAAANcS1oYV9hqcU811XSkUCrqt6vHjx77jYrEo9+/fl3g8PqOfDAAAjEL1uzX7tgzaovrcRvW33dnZ6dvfdnNzk7kGAAAAblBwrFXUHABR146Pj+Xs7Cz03sEMqMbz37t3Tz7/+c8PnANgfX2dehIAAMCcGCY3DjrXLzuKROfHQqEg77zzTmRuNM+RIQEAAOZXu92WZrOp1/dUa3yq9T+bzaZUKhW9NqhaP1Tt12o18TxPr9fUbDYjv5Zaj0nNfe84jmQyGXFdVx48eKD3zfdks1lxHEfS6bQ+zxr0AAAA8+/s7Ezq9bpUq1VpNps6c7ZaLb2vzqv1P1utll6PSeVSc83QqHWYRKRn7U8zQ25tbensaa7BlM1mfTlTfYZaJgAAwPxT2VK1e5tt4K1WS9rttt5vtVr6/eY69GbmrFQqkestiYg4jiOpVErnTTN/7uzs9OTRQccAAACYb51OR7eVt9ttaTQaUq1Wpd1u6wzZbrelVqtJvV6Xdrut65yqLd3zPF8bfLlclqurq8ivmcvldOZUa5OmUilJJpOys7Oj82QqlRLXdfW+ansP5lXW+wQAAJh/jUZDOp2Orl+qumZYHjUzaLVa1Vkz2L8zOA9hUDablWQyKalUSreRqyz56NEjX65UmVS1sYdlUtrXAQAA5l+5XJZOp9OTK808qtrcK5WK7ufpeZ40m039OZVDVR/QfoK506xnbm9v62vBnKnem0wmdZ00mUxKMpmc0tMCAADAKNQYonq9Lp1OR+fKdrstlUpFOp1Oz3WVLcOyptnW3o/jODpbZrNZyWQy+rhYLOosGcyWruvq96laKLkTAABg/tVqNel0OlKtVnXeNOufwTyqxhMFs6eqe6pr/cavr6ys6H6ZKjOadcxisShvv/12Tz00mUz2ZE2VQxOJxBSfGgAAAK7j/Pxct6d3u13xPE+63a5uN+92uz31T3NepbDsqdrf+7FtW5LJpG5DTyaTkk6ndQ7N5/Py+PHjgVnTrIfGYrEpPTUAAABcV1its1KpSLfbjcyj5tydaixRs9nU88g3m01ptVp9v65aQygse6q+ncEaaCaT8bXFB9vpAQAAMJ9Uv05z7JAav27WOs3xRCpTqvFE5rzxZvbsN2fn6uqqXmMorH5ZLBblr//1vy62bftqoGYOtW1b9wlNp9Ni2/YUnxwAAAAAABjFyqy/AQAAhvHuu+/O+lsA5OXLlyLCf4/D+NVf/VX5nd/5nVl/G5iQb3/72/IjP/Ijs/428P/Zti22bUuxWLzW5xqNhpycnEilUpFKpSLValXvVyoV8TxP75+cnPRcr1QqofeNx+OSy+X05rquXnDcPB98j3n9uoO3v/3tb/O7GHPh29/+toiQDfohPwHA9amJvjc2NiZ2T3NyyODg6rABLura/v6+vlatVqXT6fh5z3/+AAAgAElEQVQGzgziuq4kEgk9wCWRSOgOiolEQhzHkUQioSc+TyQSksvlxLZtsSxLZ0U1Abr6jGVZI3VO5O8R5gH5aHjUl24X6kvA5MXjcYnH4+K67sTuGcyNaiKeSqWic6CaiMecpOfTTz/15UhzsEu/QSwiovNiNpuVRCKhB0UnEglfnjSvh2VDMzua2XIU/J3GoiE39Ucd9/ZR/64CMJ7l5WVxXXeieVIt3h1cpNuc5LFarfZMMH5wcODLoeYi4Ofn532/phoYHVZfNOuPYfXJYN60LIs8iTuJPNkfefL2IU8Ck6Patifl6upKt2EHs2TUotxqUcWDgwM92WO73RbP8/REPf0sLS311Bkty9IZ0rKsyJpkMG+a71Xt3aPgbw4WDXmyP/Lk7UOeBCbnJmqUZpu3yoeNRkPXJdX1YA1zd3dXGo2GtFot/T414fggZlt2Op0Wy7J0HVLVKc0MaVlWT03SrF+a2XMU/M3BoiFP9keevH3Ik8BkTbof5eXlpc6KKi8Ga5aq/6SZO4+Pj+WTTz6RWq0mtVpN2u221Go1qdfrcnZ21vdrqvZt13VDc6NZswy2a6vsadYkzRw6Cv7mYNGQJ/sjT94+5Eng5sRisYnXK8Oyo9o3j1V7uJrv59NPP9V1SrNmOWhct5kFzX0zc0blTzWXUTCLqsUSr4t5gbBIGPc9PPL37cK4b2C61HyLk6IyopoPKOpYtY9Xq1XxPE9KpZJ4nqcX4Tb3+0kmk7qPpVmPNBcrjNo3a5lqMUPVvr66unrtn52/R1gk1OcGI48DwGQlEglJJBKSz+cncj+VMVVbebAtXbWLm7mzUqnI3t6elMtlabVaevxPs9mUTqfT9+tls1mxbVtSqZRu/7ZtW9c2VQ3TzKdmxsxkMnqhbfNe10V9E4uEPDU8/j15u1DfBGZvaWlpom3s1WpV581arebLm2o+IvUeNU7o1atXvvmLzLmN+lFzXaZSKZ0vVRt5v2vpdFqSyaSk02mdV5PJJP01cWeQp/qjHnz70F8TmD+Typ9qvZ1qtapzp7l5nqfnYVdZtFQq+eZCMudpj6LmSVc5U83T5DhOz7EaJ9TvmPZ13HbkqcGoBwPAbIy6dnhQq9USz/PE8zy9lo86jjq/u7vrO394eCgXFxeh91djhYJjh8xt0PmtrS2JxWLX+rloX8ciIU8Nj39P3i60rwOLb5xMqvJlVAYNbiqDep4nx8fHofMmhY1ZH3bb2NgYqdbJ328sGvJUf9SDbx/a1+8O27ZlZ2dHdnZ2Br7XHNO8t7cnpVJJv3qeJ0+fPpVSqSQHBwe+9a5VvigWi1IoFPSrec51XXn48KFkMpmb/HFxx/D3G4uEPDUY9eDJUf2m8vm8OI5z7bYk4LajvRSLhL+Pw+PfB7cL7aWYN7PODxcXF1Iul+X09FRs25b79+/P7HvB/CM/DI/8cLuQH+ZHv/Ym9fry5Uvf/BLxeFzW1tZ8bUtPnjzxtTsVi0V5+PChrKyszPCnwyTw+xeLhPadwcifMA3T5zVs29/fl6urK9+9ovq67uzs9O3zur6+LvF4fEZPAAB/D7Bo+PdJf+Th22ec/uNRWa/f2Cfz2rDj7YfNf+b4qFHG2gOYDf6mYNGQF/sjL94+k8qLYRlxmHOnp6d910bqN0/Tzs5O6Bj64Lm1tTVJJBIj/5wAZou/OVg05Mn+yJO3z6h58vz8XGq1mlQqFb2OUaVSkXq9Ls1mU+r1ul5LU615ZM4z73mevqbmr4+qRYqIXh8zm83q+eaTyaRub3706JGk02lxXVfS6bRexz2bzeo559W5Sa53D2A2+HuNRUJ+Goz+jDB5nietVktarZZeJ7PVauk82Wq1pF6vS7ValWaz6VvDXX1GnVdrcIbN8aksLS2J4ziSSqXEtm2dN9Va7Q8fPtTrGZl501zfSOVMlT8BLDb+HmHR8O+j/sjjt8+o9cyzszO9fruZKVutlq5fqv1KpSLtdlvvt1otaTabvv1yuSztdrvvmpoifzXXvVqv3bIsvZ9KpWRjY0Pn0VQqJZlMZuAxgMXG3yQsGvJmf+TN22cSebPdbkutVpN6vS7tdluq1ao0Gg1pt9u6fb3dbku5XJZWqyXtdtvXN9PMmpVKxbeeQBiznpnJZMSyLMlkMnrb3t7WbeYqV7quq/fT6TSZE7hl+PuNRUKeGoz2dJjK5bJ0Oh1d0+x0Oj3ZMyxvmhmzWq1Ku93W+bXT6fjmFYziOI4kEgndj9OyLN0f03VduXfvnuRyuZ7+ncHcqWqjtK0Di23W830D10GeGh7/nrxdRp3vu9lsSqfTEc/zpNPp9GTIer0unU5Ht5+H5U2VU826qHpvP8vLy5LL5fQYc8dxxLIs3VdzY2NDjx3K5XI6W+ZyOV/9U9U7k8kkuRNYcPz9xqIhT/VHPfj2GXd8eqPRkE6no/OkGjtk5sng9UqlIp1OR+r1euT1QW3s8Xhct40nEgnJZrOSTqclmUxKOp2WBw8e9GRNdU3VOJPJpK6HqvcCWEz8/cYiIU8NRj0YpkHZMZg9u91uT1202+3qdnhVN+12u9JoNAZ+fTNvJpNJsW3bly83NjZ0nTOZTPr6cZo1UPMaa/kAi4n2dSwS8tTw+Pfk7TJq+7rZZt7tdnWberfb7cmewWxp9gc12+GvU+uMxWI6byYSiZ765dbWlq5tBvOlqmuqsUfq2HEcWVpaGvVRApgh/n5j0ZCn+qMefPuM274elSNV9gyra4blVbNWqj4zSDqdlng8rscVqfFCKl/u7Oz4MmVYbTOZTEomk9H5NZlMjvQ8AMwWf7+xSMhTg1EPhqlSqUi32+3JnmF1T5Uja7WadLvdnrpm2H2urq4Gfg+u6/r6d5o1y3w+L/fv3++bL4P10XQ6Laurq1N4egAmifZ1LBLy1PD49+TtMmr7OgAA07R0NUw1AgCAGXnvvffkm9/85qy/DQC487761a/K17/+9Vl/G5gxz/OkUqlItVqVSqUSunmeF3m9VquF3lc1fqsOlbZti+u6Ytu2btRWjd9/8Rd/IaVSSWKxmKysrMjq6qrEYjGJxWISj8f1Pg3gAHCzvv71r8tXv/rVWX8bAGbo6uqqZ4DOKBMTmZ0s1UJA6vogquNjLpeT5eVlcV1XT9i+uroq6XRaEomE1Go1efr0qSwvL8vKyop+XVpakng8LktLS7K6uipLS0uysrKiM2UsFvN9BgAwHupLwN2kFi4PLhgZtsDPsJOsmxMPDaIGeqsFfcwMGYvFxHEcWVlZkUwmI57nyV/+5V/qLHidzKiuAQCmh0EXwN1wcXHRkyEHZUQ1gVC/vKkWiRxE5Uk1eWUmk5GVlRWdI7PZrG7vLpfL8v777+t6osqIq6urvjqjyprmOdq3AWD6yJPA3RHMjWad0lxcvNVq+SauNDOkmTfNbDpIME9ms1lfnsxkMmJZlti2LdVqVb773e+G5shgzTLsPQCA6SJPAneHWW80a5Ptdlvnxna73ZM3zTpk2D2GmXBS5Um1EGMul5OVlRXJ5XK6LqmyZr1elz//8z8Pbdc265BmxqStGwBmhzwJ3B2qzdvMh2ZtMiorttttaTabOk+qfTOHXlxc9P3aKk+qfpOO48jq6qpkMhndpzKTycjq6qo0Gg35zne+05MVzddgtlQ1SgDA9JEngbvp8vJSKpVKT7ZUNcvgvsqcUfutVkvnz0FU30nXdXvaus28ubKyIs+ePZP9/f3QMTdqfE5YO3g8Hp/CUwQAmBj3DUBRcwgFs6PKl2YGbTQa0mq1pFqt+trI6/W6tFotqdVqUqvVpN1uR847qag5goJt42YtU+XOTCYj/+2//Tdfm3hYvTI4/pucCQCzwTyVAMKYNU4192StVpNWqyX1el2P9Wk2m7qGqfaD+dT8/Pn5ed+vm81m9Rhx1efSdV2dQzOZjB7zo+Y9N/tbmrnTnPec8TwAMFvUNwH0U6vVpNlsSqPR0HlS9cOs1+vSbDalXq/78mXYNTOf9pNKpSSRSIjjOLp/puu6ur7pOI5YliXJZFIqlYq89957vly5uroamTsBALNFf00A/ai2djXGXOXPsONGoyH1er3vcaPRiPxaUes7qnmNstmspNNpPY7ot37rt3RfzeCajqrvJvVNAJgPtK8DGJZqc1friddqNalWq761w4c5X6/XQ++/tLQkjuNIJpORVCol6XRacrmcZLNZfZzNZvXa4n/yJ38in3zyia5vqs2sdwIA5gPt6wBGVa1WxfM8KZfLoVu/a1FrAalMmcvlxHEcvW8eu64ruVxO9vb25Pd+7/d0zlS1TgDAfKJ9HaPodrtyfHwsnufJ3t6elEol3755bn9/3zeXt2VZUiwWpVAoiOu6ej947sGDB/TFQ1/vvvvurL8FAJhbH374ofzgBz+QTqcjS0tLks1mJZ/PSz6f1/9+n+YaF7SvY55885vflPfee2/W3wYwUd/97ndFROQrX/nKjL8TYLJoL8W8mHZ+uLq60u19p6encnp6KtVqVS4vLyUej8ubb74pjx8/ntr3AwCLhPxwszzP87UDhb2+ePFCzs7O9GfU/A3B9qDg6/b2Nn2Y7wjadwBgvp2fn8vZ2ZmcnZ3J3/t7f0/u37+v+5xGvar9arXacz+1VpJqoxp233VdsW17Bk8AwKjee+89+eY3vznrbwMAYLi6utLZ7vz8XG9nZ2fyT/7JP9FzxKv5O9Wcnuq8Oc690+mEfo1UKqXHG6lXNcYoeD7sejabJfcBdwR5EQDmh8qJKh9eXFzoY7X/D//hP9Tzu3ue51tnSK1NpObrbDQa0u12Q7+WWucym81KJpPRW/BcOp0Wx3H0uXQ6LZlMxncukUhM+UkBmCfkSQCYD2dnZ3JxcaFz4+Xlpa45Xlxc6Iz57rvv6lqjWh/d3DfXUK/X677+ZkFqbvfgfO7ZbFavpe44jqRSKb2mpZoHXs0Jn06nJZVK6fdOc1wlgPlGf0YAmC1Vk1SvKmeGZc6/+Tf/pmxsbEi5XJZ2u63XSO90OnrNoE6n47vej5kf1XrpUWsK2batc6Vt25LJZHQeTSaT4jiOJJNJsSxrSk8OwLyjngkAs2NmSJUrz8/P5fLysueaOvd3/s7fkWq1qnNkrVaTs7MzKZfLcnZ2ptdK73Q6UqlU5PLysu/3kMlkxLZtvUaQZVl637ZtnTtt25ZkMunbV+uqqzyq1lV3XXdKTxDAIiBvAsBshOXKy8vLnsyp+miq9/zkT/6kdDodqdVqcn5+Lp7nyfn5uW5Db7Vaut28XC775vEPo2qRKjuqOV1UdjQzpeM4YlmWzp2WZek8qvbNzAoAJtrTAWD6zCw5KGeaNc4nT55IKpWSbrerx/90Oh2pVqtydnYmlUql51o/an30sLwZlSXT6bRYlqXXULcsS9c+g/cAAIX1QgBg+oJ5cpjMeX5+LoVCQT772c/KxcWFVKtV6XQ6eqx5t9uVarUq5+fnUi6Xdf1zkFQqJYlEQtcxVU0zkUhIKpWSTCYjlmVJJpPxvVdlTPO92WxWEomEfm88Hp/C0wSwCGhfB4Dpu07mDNZCf/zHf1wuLi587eoqe6rapmp7H6Z9PRaL6fE/iURCXNeVRCKhx6qbGTKYTXO5nCQSCV3/TCQSvpon49UBmGhfB4DpGiZzBtvf1faFL3xB8vm8VKtVnT0vLy+lUqnoMUSqb+cw7esioufJDGZPNWfSuNcBQIT2dQCYtqjMeX5+LldXV3ou9m63K1dXV77rm5ub8rnPfa6npqnGqHuep9veVQYdJCw7mrXKeDyua5nxeLyn1hmPx33t6cFaaSwWu+lHCmAB0L4OANMVbDc3t6h6p/n6Yz/2Y3qsULCmqcatqzroMO3rItJTt4zH4752crMdPSxbDsqrACBC+zoATEswXwaPzZqmuh48fvz4saTTaZ07w15V9hy05pCi2sTNnBiVLVUeVbXObDYr8Xg8Mm8yngiAQvs6ACyOr371q/L1r3991t8GAACRlq6GaWUDAAAAAGBMV1dXUi6XpVwuS6VS0Vu9Xpd6vS7ValVPwFQul/V+pVLRk87XajWp1Wp6ktB+zMXZR13QXS3GaS6QBAAAgOnwPE935lQTdlarVWm1WtJut0MnVgpO7qnea04wrwYhXVxcSKVSGfr7UYPVHceR5eVlcRxHVlZWdGfQVCqlO36qzp6ZTEZWVlZ8n1GTh6rPqA6kwc8AAABgMJX3/h97d9rbRnam//+SxEXmVizbvUjZMANMgmQySTDKTDBpz9vwi/TbiP1DgEToSQ+Q7p4HAaZ7Wmp3bFexuEhcJP0f9P8+OjwqklWURNnW9wMQRVUVi2o98dX3We40TXV6eqrRaOQaDfX7fXfdFgTlbYxkmTPvXsuORVnei6JI1WrVNbzMy3tF7rUMGsexy5F2LwAAAK7Pz5Pj8djVIk9PTxfmSdtwM9zk/TpNLiW5WqMtQrfF6pYf/UwY1iNbrZaq1WqhjBlFkba3t2/5LwsAAHA/WBbs9XpuXDpvbNtvRjmbzebqkuHm7nlNLYuwbJiXH8OM6dcdLYfm5UYbHw+zJQAAAG6GZcIsy1wdclme9LOiZVGrXfpZM7xWRF429OuOlUplLlv6ubFSqbhmQc1mcy532tg449wAAAA3z8as/TFuG8MO197YeLdlUBvftrFvm3c5Go3mMmaRbcksI/r5sVqtzmVLv25p2dBqmjYv0s+Uft6sVqvqdDob+IsCAADcX5YdkyTJfe/PnQzHuv05k5ZR82qbRWyiRmk5FAAAAJtha3Nsn0kbG89bC97v911tMsydy2qZq4Q5s91uz9UyW62Wy5B+vlxW+/TnbNo1AAAA3A2rS4b7mp+cnOjk5GRuDflgMHD50q9/jsdjDQYDDYdDjcdj95kia3ryGpX7Tcn95ub1el3NZnOukbllS8ug1rTcPgMAAIC3g98rJ8sy97P11PH3w7Qcantj+uvQwzVEs9ls6fdanozj2NU4u92udnd31Wg0FEWR2wvdxtTb7bZbF97pdNz+59ajZ3d3l6wJAADwlkqSxNUqh8OhkiRx78M6qM3zzOvvaOuKVvV3zOvP2Gg01O123V6XnU7HjZO3Wq2VvR+r1eqG/loAAABYh/UU7/V6yrLM5cfBYODyqGXSNE3d+vXhcOg+Yz9nWbbwe2q1mlqtlrrdrlqtlntFUeRqmK1WS51OR51Ox/3cbrddtrRXt9vV1tbWBv9KAAAAuK6LiwslSaI0Td3RXr1ez738n+19kiSuz2TI9ijqdruKokhxHM/9bC//5/BeevUAAPBuOj091Zs3b3R8fKyjoyMlSZL7/ptvvlGv15v77O7urvb397W3t+eOcRxfOffhhx+qUqnc0X8hAABvr6OjIx0eHrrXixcvlCSJqtWqfvWrX+mTTz7RwcGBDg4O9POf/5z/9waAd9TTp08lSc+ePbvj3wQAsI4yuf0Xv/gF87EAADdqMpno1atXuWM3/vGrr76a21/BH8PJG7ux497eHv92AQCwQefn53NzP5MkuTInNLzuHyeTyZVn2n5HcRzPHcNz/uvhw4eK41jtdvsO/goAAADvLltL3u/33cvWkfs/9/t9t7bcv9f/7MnJycLvsTXk7XZb7XZbnU7HrSO3teS2tsdfUx6u99nZ2dngXwcAAOD+OT8/V6/X02AwcH0fbU9128fS3//SrtneQv1+3/2cpqnr6bOI9Yu0PSv9vS2bzebcfpbNZtPlRevj42fIdrutZrO5wb8WAAAAJLnejkmSuP47/vuwP6T15Ql79Ph7p1u/nmVqtZrru7O7u+vqivbe3yPdepRbPdLOd7tdl0OtXsn+AQAAAHfH7xFuedLvIZ7XY9zvQd7v9zUej12fHr/f+Kp8KUmtVkv1en2ud3jYW7xer7u+PeF1+1yj0VAcx+59FEUb+OsBAADANxwONZlMlKapptOpm+N4enqqfr+v6XTq1rTY+Hd4v2XSZfevYmPi1l+83W6rWq2q2+26Gmez2VStVlO321WlUnF1TrvfMmir1XLn/PcAAADYnPF47OZITiYT9Xo9zWYz9Xo9TadTDQaDudw5m82UJIlms5mrXy76vGVN+3wRNsYdx/GV7Gk5M4oiVSoVRVHkMmij0VC9Xp/Lm81mU7u7u27OptU/AQAAsHk23p1lmWazmatbrsqby65ZvXMwGLh658XFxcrfpVqtunqkzcNclEFbrZarf1ar1blrnU7HZdBWq6Xd3V2XQ2u12gb+qgAAADC2ljysSfo58uzsTFmWuZpmXkYNs6Zf9zw7O1OapoV+n2W1zZ2dHZcvLUeG2XNnZ0dRFLlr9j6c9wkAAIDNsWyYZZnOzs7mMmaYQ/2a5dnZ2dz4e5g1855XxM7Ojjqdjhszt3qn5Uo/ey7Kp51Ox927aM0Ra9QBAAA2w/ZTX5Qx8/Kj1UXDrGm1T6uPpmmq8/PzuRpoEVtbW3N5sl6vq9Fo5GbP7e1txXF8JafmrSWy+Z5xHLv7AAAAcPssY4a50eqZvV7P9W0Ms6aNs4c1UMunfi20TOaUvu/5s729PZc9wzxpNU2rWfr1T8ugllf9uZ1+9gQAAMDtC+uZVqPMy5qWG1flVD9zWp2zzNi6pLkcabXM7e1tt149L4NalrQ6qD++7s/ttJxq9wMAAOBmWT70646WLy1/3tTRvsuORVk+tLH0dY/+3km2BilvTTsAAAAAAMC7ZOuiyM6AAAAAAAC8hXq9nltQlSSJe9/r9dzG+v1+3zWcH41GStPU3ZemqdswIMsyN7F2mTiO3YL+KIrmGnta4/lms5m7cb6/4X7YVJSJrgAAAHenzITWJElKT4K1zxRtSm92d3cVx3HpCa9lP9PtdrW1tXWLf2EAAIB3301nxUX32sL9Iq6bBYvey8ZQAAAA1xM25Mxr2rmooZJtArWqoZJtcl/Eok3tbcy60+loZ2cndzP7sMm838wzbPhp9wIAAOB68nLfssbuYX5c1rTTcmiZzZz8Jki2geiyvFipVOYypb+Bk2VSu8eypW2Gzzg2AADA9Vl+zLLM1Srz8mOYDf38GWZLv8ZZpvlRmBfjOL7SzN1fi2P50OqUVoMMN6oPNwu1ZwAAAOB6wjqknwPDjOjnxzBb+rkzzKRpmqrI9mc2rp23drtIM82wCZJly7AJvH0WAAAAN2/ddTjL7gmvlV2Ts2xdTZE1N8vuefToEfsIAQAAbEDZLFkmX9oxSZJCv0vRrFj2mp2jfgkAALB56+TMotdtnc8qq3LionOrrj98+JB14AAAAG+BIrmy7Puidc1lGbJM3vTfM1YOAADwdlmWN9fJnPbzMkWzYxzHhe774IMPWDcOAADwlgrzZl5+XJVD7edVa879DLkqVy77+aOPPtLOzs4G/0oAAABYx6qMuehl93777be5+XJZZlz2snv39vbYMx0AgLec5Ybj42MdHR25o38uSRJ9/fXXV/bUjuNYe3t7iuNY+/v72tvbc0f/3Mcff6zt7e07+i8EAOBunZ2d6YsvvtDh4eHc6/T0VJ1OR//yL/+ig4MDHRwc6D//8z/1D//wD3f9KwMACnj69Kkk6dmzZ3f8mwAAVun1evrv//5vvXjxQs+fP9ef/vQnvXz5Ujs7O/rZz37m8vjBwYH+7d/+jfWeAIC1nZ6e6s2bN1fGXMLjy5cvdX5+7j63u7t7ZZwlPP7gBz9Qt9u9w/86AADeb6vW9Sx7fffdd7k9f4rOt8ybfxnH8R38FQAAAN4tRfYGKnJuUZ6TrvbTWba+Ztm5Dz/8UJVKZcN/IQAAgPth1V4+Za/1er25sbzQdfaKzLtGLRAAAGBzbqPPzevXrzWZTJZ+b9n+NUXe00sRAADg7pTt0X3b/bqv26fb3rfbbca1AQAANmRRNlyWG8vc3+/3NZvNVv4efkZclhmXnVt2jTomAADA5uTlwyIZskzOHA6HK8fHTdHMWOTaons6nQ59FQEAADbE8qFlQqtB2hqcJEl0fn6uXq+ns7MzZVmm6XSqwWCg8Xis0Wi09Bl2nEwmGg6HhX6nZrOpWq2mKIpUqVQURZHq9boajUbutVqtpmazqUajoXq9rk6no0qlom63q2q1qlar5fKmfw0AAAC3bzabqd/vuwxpudBqlJYlR6ORxuOxy5Q279LPlmdnZ0rT1D3LnmH3pmma27c7tLW1NZcVrS7ZarVUrVZzs6blSZuP2e12ValU1Ol0XFb18+jOzg7rzAEAADbEMmOWZa6G6R+t1unXPO265VPLpZYt/dpmmD+LWJYRd3Z21Ol0rmRNP4/u7Oy4zNlut6/UR8mcAAAAm3NxceFqj/7RMmaYF63WaTnV7k3T1NVLw7F2P4cu2yvT5+fH7e3t3Kxptc8wR3a7Xe3s7CiKoit1Usuwfi10a2vrlv/KAAAAWLYuqMwaoptcPyRd3Qup6LHsZ8idAAAAt++ms+Wie4rujSQt3x/ppjOn1VIBAABQTpj38s7d9rUyY+nmOllznSP7vwMAAAAAACy3dVFkRxgAAAAAAO4J26Sg1+u5TQqSJHHve72ehsOhRqOR+v2+sizTycmJhsOh0jR1m7law4CyTQBso4FOp3NlQ9Y4jt3GV3kb+9tmBn6zgEXPAgAAwN1YtSlW3uasYSMq+0y4OZbfxMo+U1Qcx9re3p7b+Mo2Ww0n6IaTde0+y6P2eTtahrVNuOwIAACAfP6GqbaRf5HNVRfdaxtbWWMAPzcWYY2kLNdt6ggAAID1XHfj1KIbYCVJUvh32vQGA2xoBQAAsL6bzI2L7imzaRVZEgAA4N1gec/mNVpj0CzL3NxHG7v2G9PbehsbA8+yzI2BW2PRcA5lUTb+bBmv2+3OHaMocuPTNt8xbDJqWdHW6djcSJsL6T+bxk4AAADrsdxnmdLmRSZJ4rKg1Rb9vGhZssj6nDJzJiXNNZm3vGdrYRY1mw+zot+g3nJnmDftswAAALhZNzHuXeRaEes2+Vx2Tz3p5/EAACAASURBVHjNMigAAABux8XFxVxN0h/7nk6nyrLsypj5ovpmuDelPStNUxVpFZG3N6XVLP29KavVqqIourI3pX3OxtPDsW/GwAEAADZvUT3SP7fO9devX2symaz8/lV1Sf9c2evkSgAAgLtVJD8WeR+eK1LPvE6WXPT+0aNHzLkEAAB4S6zKkkUzp/1sa4EWWSdHrrqP+iUAAMDbp0i2XHTO//nNmzcaj8cLvyfMl3n5sejP5EoAAIC3V5ghw1dezrTXsjmYYY4MX3lZ016PHz9WrVbb8F8CAAAscnJyouPjYx0dHSlJEvc+PPf1119rOp26z9VqNT169EhxHGt/f197e3tz7/1ze3t71I8AAO+96XSq//mf/9Hh4aFevHih58+f64svvtD5+bn29vZ0cHDgXr///e/16NGju/6VAQCBp0+fSpKePXt2x78JAMA3HA716aef6vDw0L0+//xzXVxczGXtJ0+e6Pe//70ajcZd/8oAgHeAPz6ybJzk22+/ndtTwMY98sZD7P2Pf/xjtdvtO/yvAwDg/bFqDuSi17I1NavmPy56ffjhh6pUKhv+CwAAALz9wn0ay6yL9s/9/e9/X7jvTt6a6CJrpMNzH3zwgarV6ob/QgAAAO+3vDy4zt6M9nOv19P5+fnC77vO3ovsxQgAAHA3rtMvZtn1JElWfvc6/WBWvbd+1wAAANic2+p3/erVq7n9lBa5jT7Xu7u7jGEDAADcIusFmGWZzs7O3Fi09aFOkkQXFxdK01Tn5+fq9Xo6OztTlmUaj8cajUYaDAaaTqdKkkSz2Uz9ft/lySzLNJ1O1ev1Cv0+rVZL1WpVcRyrWq2q1Wq5XNjpdFStVhVFker1uhqNhru/2+2qWq2q3W4vvb/ZbLLfNwAAwAbYOHWapi5nTiYTDYdDjUYjjcdjZVmm2WymNE1djrSapGVMu+bnT//zZ2dnK3+Xra0tlxf9fOlnyUqlok6ncyU3djodVSqV3M+32213zT4PAACA22c1zCRJXM3S8qRlTsuVVqccDoeaTCauHlrkGZY/i+p2u9re3la329XOzo6rT7ZaLZczLUta3rRMGcexKpWK2u22GytfllcBAABwO6bTqQaDwZVMGOZLq1FazrR6Zpg3i4y7F2U50TJlo9FQvV6/ki39/Fir1dRsNt29nU5HOzs7c/kzrImyFggAAOD2hDkzzJvhMTznf8bPo2EuDfNpUZYpoyjSzs6Oy5Z+brRs6dc2rR5q+TMck897HgAAAG5HXq7cxLEof+34srXmRY+LPmO1UAAAANy8TWdNq4cWddPZctGRvdoBAABuh827tHmYtpbcxr9tPNzGyS0vWn60LGlj6zambmPpdj5cb1SEjXfb2LhlQxtHtzFyq09eZ50RczkBAADm2RpwSXPj1JYXba2OpLn14ZYfpcu9kOy6rfPx71t2zbKl/6yyLCtaDrSc6F+znLm9va0oilZeswxpGXPZNdapAwAAAAAAvL22Li4uLu76lwAAAAAA4D6wCcR+QyybhGyTlpMkcROQ8xqy2iQT/1m26Zc9q4iizVptsrHfrNUmkvibgdmzbMKzHQEAAHC3wkVtNkHZJkPnNc9atBAuXFi3aIFdUTb52Jq92lH6Pq9Kmju/tbXlFr/ZJGc7Wja1hXZ2tGxqE5ot+wIAAOB7Vou0LGeZz8+L1uTKz4TXORZlmyyUPfo5cZ0jAAAAirGNEcK64qLGVosaXIWNrsKjZVM7FhVmPasthsewBmlHq1H6x/C+8HkAAAAoJ685QJIkt9JwoGyevOkmV8uOVt8EAABAMZbzwlpkOD/Smg0kSeLqmVZrtBqk1S6tvrno2UWEdUMbww6bA1gODJsEhI0GrPbo1ybDeZcAAAAoZ1UDKRunTtNU5+fncxky/KxlxjCH+p8tKmwYFcexy36Lmk3Z0c7bum6738bL/fHscK0OAAAArmfdMe9l94TXLKMWcVNj2EWPVtMEAADAzbBa5LK9Ka0uWXZvynCNTlF549VWewzXd4d7US4aI7ej7QUUjpkDAADgZi2qSa46V/T6KqvW46w6t+y6zbcEAADA5hXJkUXeh+fSNNWqtrplc2SR9w8fPmTPcgAAgDvW6/XcGu8kSdz7Xq+n4XCo0Wikfr+vLMvcPuppmrr70jTVcDjUycmJsixbOf/Sxr7b7babExlFkVu70+123Vh32fcAAAB4O1jtMaxPFvnZP/fq1StNp9OF35NXe7RXeG7Zz48ePVK9Xt/gXwgAAADLrMqLi15278uXL3V+fn7lucvy4bKX3fvxxx9re3v7Dv4iAADcbycnJzo+PtbR0ZE7Jkly5dx33303t47X/q3f39/X3t7ewvc/+MEP2GsaAPBe6ff7+stf/qLDw0P3+utf/ypJ2tvb05MnT/TJJ5/o4OBABwcHzLkBgDv29OlTSdKzZ8/u+DcBgPtrNpvpyy+/nMvQf/rTnzSZTNTtdvXb3/7WZejf/e53+vDDD+/6VwYAvGXyxjLC4zfffKNerzf3uTiOtbe358Ys8o4/+tGP2CsUAICS1p2DmCTJlbkHpuh8w7y5h/v7+3fwVwAAAHg7LVpPXOZc0bXHy9aPrDr3+PFj1Wq1Df5lAAAA3k/hnoa2V6H1AxwMBrn7G1r2G41GOjk5Ua/XU7/fd70Cl4njWM1mU41GQ+12W51Ox/3c7Xbnrtn+h3at1Wqp0Whc2RsRAAAAt+e6PVfy3hfpHX1TvVb899QVAQAANuu6/aAX3fv69WtNJpOV3182Uxa9Tq4EAAC4GdZDz+qFvV5P5+fnrm9zkiQ6Pz9Xr9fT2dmZsizTbDZTv9/XdDrVYDDQZDLRcDjUeDzWaDRymdHy42g00ng81mAwWDqvMdTtdrW1taU4jrW1taVut6tqterGrOv1uqIoUqVSURRFqtfrbiy7Wq0qjuMr93c6HVWr1bn7AQAAcLP8OuImj0Utqjkuq1GWufbgwQPFcXyLf2EAAID7yeqRVp+0uqUkJUkiSa6uafVOq0kOh0NNJhOXHS1HWm3TfrZapt1v9dMiarWams2mqztaPmw2m6rVamq3266Wub29rTiOtb29rSiKtLOz42qXrVar8DMAAABws2y83HKg5ULLieEYeJgbl427X1xcKE3TK+PvRVnt0TKijYFbVrRx8k6no52dHZcZ88bdwxxaqVTUbrev5FEAAADcvEVreG7jaHm1qGXj57dxpM4JAABwc2w8vejRxt3LHq2uWba+KcnNqyx6tNpm2WMcx672CQAAgJth+c/Gu+1o4+DS5TzOcD6nHe1zfp48Ozu7kjvD/FqUzeG0cW872ni4HS0r2ri5HcNsuWhep43V23cAAADgZoR5McyHi+Zz2hi57Xlk64TCWmiYaf0sW5SNd9uYt2XEMIuG2bPsWiF/vREAAMD7zDKfn80sz0mamwNpdUbLd5Lm9huyHOmvPbeMKGmu3mg1zFXftS6rIUpyGc8yoXQ5Fm73WX5cdc2eZXly2TXGzAEAAAAAAFDE1sV1KmEAAAAAAOCttGpzs7xrZe63id9FbHpTM3/iDgAAAO7GbTapXXSt7ATwTeVT/7tsojgAAMB9d1t58V1t1EBNEwAAoLiwSWx4DDfBDTfJ9ZvJhse859nGFUWEjWHDY7gxbtg4NjzapmZ2n22UK11uSmHPAQAAwGpWJ7SNyMLGCGHW9DNlmBnDxl32HNsE19/YrAirF1qt0DaqtXxouc/O2/22wa1lSMueednRsmn4LAAAABRTdG3OTRytnlnUpse47T0AAACWs7qh1Qst81nTLatVWk0ySRJXg7TPWpOFcD5k2MDLnl2GNTWwmqHVI8M6pOXARY25wiaw0mVd0r7D6pM0fgUAACjPcmOapm5s23Ki5cKw8WvYADY8hrkyzJdFWUYMs2J4XDR/ctF8S8uY4dHPnAAAALieTYx929HyalFFxq7jOL6R8W/W5QAAAKzPapFWX0ySxNUubbw7yzJXd0zTVOPxWMPhUIPBQOPxWL1ez2XHXq/nxtKL7hUURZFqtZra7barVcZx7NbbdDod1Wo1dTodt2an2+26tTutVkv1el1RFLmc6D8TAAAAm2VzKEejkdtv3F9rY9kxTVOdnp5qNBrN5ch+v6/T01P1+30NBgNXnyySL218u91uq16vF8qQVmfsdDqq1+tqt9vuM3Ecu7F06pAAAAB3w+ZNWsa08XF73+v1NBgMNBqNNBgMXD3TcqatAQrfr+rb2O123Xrs67yP49hlzjiON/RXAwAAQJ5wzqVfryz6s51blSltjqQ/T9J+zju36OcPP/yQuiQAAMAdC/Ng+MrLjPZ6/fr1wnHuMCOGr7wcaa/Hjx+zJzkAALcsSRIdHR0pSRIdHx/r6OjIHf1zL1++nKsT2b/f+/v72tvbc0f/XBzH+vGPf8x6BwDAO+n4+Fh//vOfdXh4qMPDQ/3xj3/Uq1evVKlU9NOf/lQHBwc6ODjQkydP9Jvf/EY7Ozt3/SsDwL3x9OlTSdKzZ8/u+DcBgPvj6OhIh4eHevHihZ4/f65PP/1Uo9FIrVZLv/71r10+Pjg40C9+8QttbW3d9a8MALgjNu6wbMzhq6++0mAwcJ+p1+t6+PDhlTGHcOzhJz/5CTUYAACWWDUHcNHrzZs3C3u+rJr/t+j1wQcf0PcPAADca3nrdcueW7ZOQyq/vjfv3KNHj1Sv1zf4lwEAAHh/WF9lf9+/JEl0cnLi9qMeDoc6OTlRlmVX9hA8OTlxn/f3HVzG9o62XiWNRsPlPNsXsNFouL4n1hPF7ms0Gm7vadvLutFobOgvBgAAcH8s6r2c14d50fW8e1fVDCUt7KFc9n14jr2mAQAAbp/lvn6/r+l06vopj0YjZVmm8Xjs+jFbv+W83sp+72XLk2ma6uLiYun3VyoVV1O0HniWDaMoUr1eV6vVyu2pvKrncrfbZb0ZAADAGvz64LLa4U0ci/S5M34NcRNH8iQAAMD19Pt9zWYzDQYD1zN5Op1qOBy6uZD+cTQaudrkeDy+kh0X5Ur/M6PRqPDvt729rSiK3HFra8tlwG63K0luzNqO/nX/6D9ne3tbnU5HOzs7iuPY1UAtZwIAAOB6wpxpWTDMh5ZBz87OlGWZzs/P1ev1JMmto7H6ZJZlOjs7u/JMy51ls6YktVotVatVNRoN1et1V3us1+tqNBqqVqtqtVouL9raHcuNdn+z2VStVlO73ValUnGZM45jl0HtGQAAALgZi8a3l11b9+g/s8icS991xsTz1vIsO1q+BQAAwPWE9UwbM7c65sXFhdI0lSSXD60mamPr4Wdns5n6/X7uZ60GWjZr2li4P2YejpWHY+47OzturLzT6bi6pR2tJhoerTYKAACA67OsaOPl/jh5mC8tm9p4eN68ziJH+66iLC+GeXLVMW/uZpGjJPYvAgAAuGE3PW6+6mjZtYxNr0lnTB0AAODmbCpn+t+1yfmbtta87Gds/B0AAOBtZuu0Jblx5fC9X+/z3+flNOlyHDx876/99t/7n7X14zZHM3zGOmwMW5JbMy5prkZoY9Q2T1KSW28uyY2F2/i5pLmsaNnPH/f251ra2vNF3wUAAAAAAAC8K7YuyozUAgAAAAAA/P96vZ5ms5l6vZ6bPLRqEnnY4GzRcdHmGkVdd/MM6WrDtEXH8PMAAAC4OzZ53Y6rGvkuaty7KMeGm76V3fxN0pXGu/4mwjs7O24iu02Ot4nrdrRJ736jNMum9lmbOG+f8yfgAwAA3FdhhtvUsaiwwYSf4SxDWt6zTTAs7/mLJC0b2rPCHGmLIP1aqGVTAAAALLbpTYD9jUOKuo1N14p8ls2AAQAAFgvnVoZNH+xoY9iWA22s28a+rRlu2FDXnmfPWmcM27KdbeZmNUSrO/q1RKtVWv0xHNde51kAAADIlySJa4Jr8yJns5n6/b772W+SmySJpMtmuZYhF82nDOdR+hsJFxWuq1k1D9LmNlputBqj5UcbA7f5keH4uZ8nAQAAsNg6TcPexUa36zyD8W0AAIDiNj1v0m+sVsRtzJVcdWT9DQAAwPVcJzMmSXIn+XKdYxzHS+/xG+oCAABguVWZcNW5ZddtfuUqq7LesvxX5H6bewkAAIDbZWtwbN13mqYuJ6Zp6uZCWu+dwWCgwWCgyWTirp+cnCjLMo3HY/X7fTd30tbyLGNrYywLRlGkWq2mdrvt1t3EcezW2LTbbdXrdXU6HfeZbrerWq2mVqulZrOper2ubrfrPgMAAIDNWVaLXPe9rQ1fJqwx3sR75kYCAABs1sXFhdI0Vb/f12Aw0HA4VK/XU5Zl7ucsy9Tr9TQcDjUYDNTv95Wmqft5MBgoSZKVe5h3Oh21Wi21Wi21221FUeR+brVa6na77n2z2VQcx3M/2/Vms6lms7nBvxIAAACkyzpkWE9c9bJ7X758mVtztPpgWC9c9bJ7P/74Y2qKAADcgPF4rNevXytJEh0fH+vo6GjuvX/u22+/nZujtru7q/39fe3t7SmOY/c+PPejH/2IffcAAG+1o6MjHR4e6sWLF3r+/Lk+/fRTjUYjtVot/frXv9bBwYF7/eIXv6DPFQDckqdPn0qSnj17dse/CQC8n46Pj/XnP/9Zh4eHOjw81B//+Ee9evVKlUpFP/3pT13mffLkiX7zm9+w/wQA3BNJksyNB+Qdv/7667l5oja+H44LhEfG9QEA+N66c/CSJNF3332Xu09h0fl2eXPv9vf37+CvAAAAcDdOTk7c+ther+fWxtp62X6/7162Ztb/ud/vr1xHW6lU1G631e121W631W631Wq11Ol03PpYO9/pdBRF0dx9URS5c7VabcN/IQAAgHdb2Pvjuvvw2c/LhP0+rrsH38OHD7W7u7uhvxgAAMD76+zsTFmWub4dSZJoPB5rNBrN9fUYDoeur4dlwbAvyHg8Vq/Xm+shsqoHSLVavdK7w7JjFEWq1+tub716vT7XL8TubTQa7ry9393dZe89AACAW7Zuj+Jl5+z4+vVrTSaTlb9Dmd7Di97nnaP+CAAAsJzV/qxfm/2cJInr5WH9h2ezmfr9vqbTqesvbPVG6018cnLi8qDVKofDoSaTycp+HqE4jrW1taVut+t6EO/s7KjT6bh5i1aXtD7ClgstDzYaDdXrddenuNVqqVqtqt1uq1KpqNPpaGdnh75xAAAA15RXG8w7lrl31bFIz2GfX0PcxNGyKAAAANZzm1ly2bOLzJf0hTkw79x1j3nPpKYJAABwPTaebTnQxr1tPNzGx2283MbPpavj7P1+X7PZzI2Jr3p2GTbWbVnQ8mCtVlOz2XRj5jaWbmPr0vdj7pLU7Xa1tbXlxsdt3HzRs238HQAAAOsJc2GYB209uPR9jwxJLluGn7U6ZvhZP5+GubQMm0sZZkPLmzZX0+ZySlfzZTgfM5yXGR7t8wAAACgvL0tmWaazszO3difMkFbjlK7mTqth2vqgIs8vw2qOVse0fFn26OfMIkcAAABcz02uDSr7vLdlrdCyZ1PjBAAAWJ/VIvPqljZOvuweq1OGNc28uZ5W4wznfBZlcynD+ZpWt7RxcH88PZy3aePk4fh6OI/T1qRb7gQAANgEP2/5Ocp/L13mqvC9vx7bf+/nLv+9jT0ve+/Pg/Tfl93DchF/vYzlvPC95b7wveXA8DmW7aTLPOh/zt9/yPKhP7btZ0DLjQAAAAAAAABuztZFmZ0lAQAAAAAA7pBNlLcNQxYdbdPkRUebaL/q6E8iK8omyy+aNG8TovxJUnaPTabyJ1jZpCubiGWTufyJ+jYR318ACgAAgM1ZlDPDhZ3LFniGCz3DfGp5NlxoWpZlT1u8aZP//QUBlkEtZ1qGtZzqZ9FFz/PzrmVjf3EBAADAfbGqlrmqxpnXcKPIBstlGw5LlzXIsBmHn+3CrGg1zTBX5mVGe364GbPfTA4AAACXLO9ZLXBZRgzrh8uyYthgY1FTjjLC7LgsD4YZMi8XWu60cfZVjeMAAAAwL28OZNgU2DKk1RstDy5qLJw33r3oWWVY5gvzomW/MDfmZc6weXD4rLAmKV1mTgAAAMyzPBiu3wnnSS5rfBHOg7S8aLVIy41Wz/QbtBW1quFFWIfMm9MYzpG0uqNfq1w03g0AAIB812nqu+5Rmm8QUsRNNOwte/QbcgAAACDfqn2DVu0PFB7D9d159cyyWTJsthsebb5jeLQ8GB7D7BjmSL8JHAAAAMqxcW8bB7e6otUWbczaxrDtaGPblkUte1rWDDNmkiRXGhyvYuthwrmR0uI1NcvWZ4fj4EXWfwMAAOD7tdbj8Vj9ft/lwSRJXIa0c2mauoxoeTLLMs1mM6Vp6vJk3v1FdDodVSoVdbtdV1e0HNjtdlWtVtVut10mtCy56P5KpaJOpzN3f6VSueW/JgAAAPz5jUmS5L4vei68XmRvybz5i3EcLz236rodHz9+rFqttqG/JAAAwP1VJB+Wff/69euV+wEVyYtl35MhAQAANscyYJgJy/68KjuGuXFZLlz184MHD9zcRwAAANweP/uFrzAbhq9l+dDPeeErzIHhi9ohAADlnZ6e6s2bNzo+PtbR0ZGSJMl9/80337jeJGZ3d1f7+/va29tzxziOr5z76KOPtLOzc0f/hQAAfG82m+nLL7/U4eGhe/3pT3/SZDJRFEX65S9/qSdPnuiTTz7R7373O3344Yd3/SsDwHvh6dOnkqRnz57d8W8CAO++fr+vv/zlL3OZ9q9//askaW9vz+XZg4MDHRwc0AMLAN4z4/FYr1+/dnX78Gg1/f/93//V2dmZ+1xeLX9RbR8AgPtm2Ry3Va9FPZKXzW9b9vrggw9UrVY3/BcAAADYnJtaq/rmzRuNx+OF37NoTWrZc6xRBQAAWK3ovnZl9rZbtUdy0T3tyuxrR/YDAAC4nuv0yFh1PUmSld+/bu+MVfc+fPhQu7u7G/gLAgAA3B+z2exKz97pdKper+d6/Pb7fU2n09w+vkmSaDqdajAYaDQaaTweq9fraTKZzD13lUqlona77bJfFEWqVqtXevTWajVFUaR6va5Go6FWq6Vqtao4jnP7/NZqNbVaLXcfAADAfeXnMr8WWOZ43c8Wkdef9zaPcRzfyt8bAADgfWUZz+qKktwcQ6sZWl3Raonh0eqJdrRn2fHs7ExZll05lhFFkba3t92x0+loZ2fHHdvttqtJVioVVz+0o9UYw2Oj0XC1yXq9fiVjAgAAYD13UbO0jFpG2frjOp8Jj5Y9AQAAsJ6bzJRln2f1zTJua2x82bOtbgoAAIDibP2MjXtLcuuvbTzcxs7Pz89dz2kbX7esaPdahrTP2HP9z9rz18mZNnZuY+RWd7RMaOPiNq6+tbWlbreb+1kbPw8/a2Pw/mfZPwgAAGB9tzFuXuTe64yl++9vYzw97zOWUwEAAFCMv0bHao62pscyoa3/8euTvV5P5+fnLi/mrS8Ka5hWR817Xhm21scyoK3/8WuRNu5ttU9b+2M1T+myXmkZMsycYda0ZwAAAKC4i4sLpWkqaXEuLHKPnx2L3GN51e4py/YfsqxomTBvHNzutXwZrmUP166Ha9TD/AkAALBK3nhv+H7dazd9X/iz1R6vK2/MeNPvi97HvEkAAAAAAADgftq6uLi4uOtfAgAAAAAA4G1miwDCoy0yWHSULhewho3ybIGBf8+yjQDL8Beo2oIBWxBgiw2ky0ljtnjANuaTLhcg2AIDW7hqjfX8Z9tENP97bcECAAAAbt+6DUluaoNAy7plXGdzvyL3LrvH8i8AAMB9cRuNlct8pqxNbxBNTgQAAMhnGzf7499WC7RNWWzzPMt/1rgubxNpG2tf1PTOvm+dcfJlDevCZne2OXTexs92r93jX7O86F+zcXWyJAAAwFW3UWvc1Ph1kXrismtl72G+JQAAwPcs29l6G6s3Wu3Q6o7hmh7p6tqdsKmdPWtZU7sy8hqBFGlCFzYWsWxo63n8NTuWE8MGeP66IAAAAFyyLGg5zzKhjVFb7rOMuCp/5uXO8DusOV1Rlg393LeooVzYSG5RAznLksvGsv1rAAAAWOymxq6LHsvmSenmxqnXuWbvAQAAsJjVFW182+qNVn+0o9UlbU1N3pj2ojU84Tocv4ZZRjgmHY5f541127i41R7DOmWZzwAAANwnfm0wSZIr9cK8c2XuL1przKv9xXG8sJ6Yd23Z/Y8ePVK9Xt/AXxQAAOB+WpUXV2XHZdetDrlKmZzonyvyGaspAgAA4OadnJzo5OREaZqWfj8ajXR6epr7fjweL/3eVdkwfG9rs6MoUr1eV6vVUqvV0u7urjqdjhqNhnZ3d93abgAAANy84XCowWCgwWCgNE01GAw0Go00GAzU6/U0HA41Go3U6/XU7/c1Go00HA6VJIl73+/3lWWZhsOhTk5OFn6XzTm0rNdsNtXtdtVsNtVsNtVqtRRFkZrNpsuJrVbLXbd7G42Ge87Ozs4G/1oAAADvv7xx51Uv/96XL1/q/Pz8ynPz6oOrXv69H3/8Mft5AwCwgP07fHx8rKOjI3f0zyVJoq+++kqDwWDus3Eca29vT3Eca39/X3t7e+7on+PfYgDAJk2nU3322Wd6/vy5Dg8PdXh4qM8//1wXFxfa29vTwcGBez158oQ5yQCwhqdPn0qSnj17dse/CQC8W2azmb788ksdHh7qxYsXev78ub744gudn59fyaq///3v9ejRo7v+lQEAazo9PdWbN2+u1N7DYzhGvru7e6XeHh5/9KMfuf0bAQB4H/nzzsrMQ0uSRN99913u/npF55zlzT/b39+/g78CAADAzbM+Fb1eT4PBwK3tTNM0d52onUuSxL23taHWQ2ORTqfj1nzaWk5b69npdNw60FarpXa7PbcWtN1uu7Wg7XZbzWZzg38lAACAd4P1McuyTCcnJ+796empBoOB+v2+Tk5O3HvbR3gwGOjk5ET9fn/unizLO9FzVAAAIABJREFUNBqNNBqNln5vq9VSo9FwOe/BgwdqNpuKokiNRsPtFfzgwQO350ez2dSDBw/U6XTUbrf14MGDK58HAABAebfZg8J64i6zqm9ZmZ4T4fVut6utra0N/SUBAADefzfR+3bVuSLW6XVb9P6HDx9qd3f3lv+SAAAAd8fyl40Vn52dKcsyXVxcKE1TSVKv19P5+bnrMWt9wsbjsUajkabTqQaDgc7Pz9Xr9SRJSZJIkrIs09nZmYbDoSaTict89n1l1Go1NZtN11NCktvfKYoibW9vq9VqqVqtqtFoqF6vu/5jlUpF7XZb29vbiqJIkly90HpKtNttVSoV97M9k7oiAADAamF9MO/cTd/jX7PcWUZe3fA6xyLPJFsCAAAUY3VKSa4uafVI6bL+aHVHW+csXdYzLSuGdUx7dl490z5bNl/6dcewZmn1xrB2aTnRapjValWtViu3lmnPDGua9kwAAAAUZznR8qE/Nm450MbEbVzbz46WGS2LWt70M6ytnbE9dKyu6efWMiz3WZ3RMqN0mRVtvNtypuXLra0tdbtdSXI50jKpPS/MpDYm72dSAAAArGZ1RsuBlhX9PGmZ03KpnxEtR1rWtDzqZ1arl1rG9HOoZdWyLFMuqmWGeXFZPTT8rGXOMGv6nwUAAMBqli39bGi501+fE46lWx1UusybVv9cNs4erjHyn12GZcxms6larXYlH+at8bFa56J1QX7NM8yh9nxbfwQAAIDiwrmay8bSi4yTLxubXzTuXtai8XLLg37etOwYZtO88fdwbD3veawPAgAAKO+21psXuceybFnXWVN+3XssjwIAgPeDP49Qutz/0Vh9TtJcLU26HP+VNDcGLGmu94ufi/zaXfj8sB7njwX73xWugVl3juIifibyx4Elza2ftvFl49fmLD9JmpufKF3WDSW5cWfjz1/0n+e/t5pi+N7qhwAAAAAAAADwrti6WNVFHAAAAAAAAHcu3KQwb5NBWxzhTyYMN5spu4Fh+L1l2eIHf7KfTdKzRb22UNefLGiT/PzJhPY5f9KfTdrzJwn6Cy7yPgMAAICbZ5lynQ1l1t2gJtzwpox1N50psomNLXrxM7B9hz07XCgDAADwPrMapeU3y4Nh07687BjmwrxNsS1DWiYNN0QsI69ZiuVEP9/ZgmPLhf7nrGZp2c/PipYnrV7p58K87wEAALjvwqwXZskwHy7LlGFOzKs5ho0Fy/KboFietHphXgYM82FedszLlWHmzMujAAAA95nVIi3fLRujDudfLptjmddkelGT6rKsPpiXDW28OZyPuWzOpT/ebfXMMJvmfQcAAMB9Fo5hS1fHu4s06Fs0n9LfgDycTxluRl6EnwfDhnqW+fLGwBfNg5Qus2PeWh57tp8jLccCAABgdfO8oscyz/KbzJRRpkneTV7zzzG2DQAA8D2rEYZHq0WWGacushdR3lh4WWXGoJftOxSOc/v1TPuOZXsTAQAAIN9t1CKLfMbyaRllao7XuTfvM8ybBAAA76OTkxMlSXIlr+WdW3Zt0f02T3IVP4fFcbwwo5W9ZuesNgkAAICbF+bBonlx1WfevHlTaP/wopmwyPXwHPMWAQAAbp7NSRyNRjo5OVGv1yv0fjgc6vT09Mp7y5A2T3IZy3zdblf1el3NZlOdTkf1el3tdlvNZlO7u7uKomguG9qcxyiKVK/X1Wq11G63Va/X1el05nofAgAA4GaEtcSwnriovrjo2qq8mFdLXPXzomsffPAB49MAAADX5Ge78BVmv/D1+vVrTSaT3Of6+S18hfkufD1+/Jg9FAEA0Pf/Th8fH+vo6EhJkrj34bmvv/56bv1orVbTo0ePFMex9vf3tbe3N/feP7e3t6etra07/K8EALyPsizTZ599psPDQ7148UJ/+MMf9O2332pnZ0c/+9nPdHBw4F6//e1vtbu7e9e/MgC81Z4+fSpJevbs2R3/JgDwdvvb3/6m58+f6/Dw0L1OT0/Vbrf1q1/9ymXQJ0+e6B//8R/v+tcFABTg18kXHa1W7rP6d1gX948//OEPGZcGALw3ls3xWvWy/YxDy+Z3LXsxxx8AALzLiqyhLPrzqj2Cw7xVZr0laywBAACusv3WTk5OdHJy4t7bHhh5e2aE95+enmo0Grn91uz9+fn50u/udDra3d1Vq9Wae99ut13fhk6nowcPHqjZbCqKIjUaDT148MBlO9uvrdlsuj16AQAAUFyapppMJhoMBhqNRhqPx0rTVOPxWMPhUP1+X+PxWFmWuetJkmg8Hms0GinLMo3HY/X7fQ2HQ/d5y46rhPvt1ut1dbvdub6stsduq9VSvV5XFEUrr1sdEAAAANdXtE/suj3BBoPB3N4vi5TtC1v2/na7rUqlsoG/KAAAwO3Ky2h5xzL3Fvlsv9/XbDYr9bvmZTb/WOSedT7barWYPwgAABDIskxnZ2cu381mM/X7fUly/bSslmfjxefn5+r1epLk5gzauPJ0OtVgMHBzFCW5zGg58uzsTFmWSdLKtSR5tre3FUWRJCmKIm1vb7t+rdVqVa1WS9L3+2hIcjVAy4U7OztuzmG329XW1paazaZqtZpqtZqazaa2trbU7XYlfT++vbOz47Kl/x0AAACYZ/nQsp+fHS1XTiYTDYdDSZd50PKknxUtq9qz/Ixpz7L86T/Lr2eW4edMy5CWDy0DWpb086LlTsum9lmrR1pWtTxar9fVaDSuPBMAAACL+WtVrG5puc/PiZYr/Rw6HA41mUzmsqblSb8eGtYx82ql64yPVyoVtdttSVdrlmHNMa8uaXnSsmlefdTqm5Y182qgAAAAWK7MXMt1ry27x7JsWWXmXS67Z93PW14FAABAvrxxcqs3Wu0yb9zb8qFfp7TxeMuQy8bX/RrpOnVNSS73+fVGq1taHswbZ7c6pdVG/bqn1TRtPN2+w+qf/ndZPRUAAADLFak/5p276fst55axzrryIvcWuYc9KwEAAIoJ1+r4czatxpk3F9OviYa1Tb8mGs7PDO/xv6+MZfMprT5Z5J5la9OL3AMAAO5OuNY4r771rtwrrVd/WyWvnnadazd937JrzF0EAAAAAAAAgM3auii7izwAAAAAAADuLX+hiS1MsUUoeZvwLGuQGG6q42+4EzZP9K+t27TG2CY7/mIRf/KibYxji1Oky813buMztjkPAAAAru+mNhS/7gblZRXZYKfouevcb1kZAADgfWI1TX+jG6s/Wv3S8pxtipO3AbjVOPOaby9r5O3XVMuyTW6srug3TLTNwJdtNG71Sn8TcdtUx69LWq3SmiVa00X/dwAAALjPNtnsMO+a5c6ybqrJ4XWukScBAMB9tWw+pNUT/Vqjzae0DOjXFcP5mMvmXObN5yzDapFWP/RrizYn0jKfX6+0mqRfd7Qs6OdDq0Xa9/hNEq126T8XAADgvsnLgZYVLU/a2LWfB22celFjGH8MPMyOli/XbR4jaS7DWW70x51tfNtfcxPmRT97Wl70x8Hz8qJ9l59D7bsAAADuC8tzeeu4l81/tDzoNxwM5z/6mTNcE573PWXlzXFcNo8xby6l1SYtV/o1x7y8uGy+JAAAwH22yfmRtzlP8rrzHsveQz0SAABgXt4YdTieHY59F1kHbrnR5kb6tctwbL0MG4e2nGe1RH+s2mqKVou02qLlQr/GGNYf89aF59UyAQAA3iXL6n5JkhQ6V+T+IvyaXRzHV+p4eefK3M++jAAAADfLaoL9fl/j8VhZlrksmKapJpOJBoOBBoOBJpOJ0jR1n8myTJPJRFmWuRqjXR8Oh4XHnKMoUrVaVafTcbmv3W6rWq2q2+26GqHV+Mrezz47AAAAN6tI3bHI+/CcjUkvs6h2uKq2uOreDz74QNVqdUN/QQAAgPdXXv5blg2X/fzmzRuNx+Ol32f5Lsx7y7LgomsfffQRY9EAAAAlDAYDpWmqXq+nXq83977X6ylJkoXX0zRduEd3q9VSt9tVFEWKomjufRRFiuPYve90OnPX7AUAwH1ycnKi4+NjHR0duWOSJFfOfffdd3NrPa02sr+/r729vYXvf/jDH/LvKwDgWo6OjnR4eOhe/+///T+9efNG1WpV//RP/6QnT57ok08+0cHBgX7+85+zbxQAeJ4+fSpJevbs2R3/JgDw9iBfAsC7La+mHR7/7//+z+1nKEm1Wk2PHj2aq13nHX/84x+rUqnc4X8dAADlZVmmNE0LvWw+lj8vK0+323WvOI5zj4uuWZ8HAACAt124X0WZdYv2c9F9LoquYVz18+PHj1Wr1Tb4VwIAAHi7rOqHsO5767+1TNH9yMq8b7fbjE0BAACscJ0eWkXOFdnDVlqeB6+zvy39swAAAK7vtvqtrpMZy/ZeLdOPlb5ZAADgbWfjrtaLdDabqd/vS5LLVJaxzs7O3Pq/LMt0dnbmMtj5+blb69Dv9zWbzdznrPepPfvi4kJpms59fxlRFGl7e9uN3TYaDdXrddXrdTUaDVWrVbVaLW1vb7t99OI4liRX27M+p5bdrP9ppVJRu93W1taWut2uJLlMx1gxAADAVXn1u9PT06XXbuoeSUqSpPTvbLU7//2i47J71v28ZVEAAABcKpr/yly7zrPKum6OLHt/3jVyJgAAwCXLd9JlDdHynj9ebePk/nj3cDjUZDKZGx8fDAaaTqeaTqcaDAaSLsfFJ5OJ68tq4+g2Ri6tNyZubKzaz3829m250B/btrFzG//2x8xtnN1yo42v7+zsqNPpzH1fq9VStVqd+14AAABc8udZWi70s6LlQj8r2nzMvKx4nfxq31+WzaW0XGlzJ6XLXGjZ0fKlnz1tPqVlRj9XWva0fGpzOqXLPGuZEwAAAFf5edNqkze51scyqZ817XvyrpVlWdFqkH6OtBy47JrlT+kyP1o29bOl5VbLnX6mtUwKAACAq2xM3M+YYY7086Dd79dALZPm3Z83vh5mWD+nlpWX/6zemZczLUvm3W/1zbz787InY+kAAACr5WW+vAyaNwczHEPPGy9fNbczbx5nWZYJ/XHwsO6ZN0a+bH5mmTmcrA8CAGCxcH1GOH/OMoPx5+ZJmssNknLrVOE+Nv7+1n4WyXu+ZZG8Z4f5xP/drzM+u4rfU8VfYyLJZRLj77Po18wkzY3jSlfnANrYbt69Yb7x9+r263DSZf3P+GO/Nt8RAAAAAAAAAIB1bF2suwsUAAAAAAAAcMdsEq2/EMcmo/qTVv2mO3mfscU4N/mZddikVX9hjT+J1Cam+pNSV33GJqiu+oy/UNz/PBtkAgAAlHcbjSTXud9fAFbGTTaVvM79LC4HAADvo5tsML7uNX/xfxmbakJORgQAALjK37DSxq9tUyl/8yjbJMo2uvTHuO2ajXXbtaINetZtChk23PE3cPI3Tgqbkq86l9fQfNU5f4MnAACA+8DPc1YXtFphXo60PGg1RX+jURt/zsuaRTZQX4dtGurPf7RMl5f9bO6jv8Go5dG8xjz+c22Dz2XPBQAAuE9ucq7jdc5dZ51O2bHtvHM38QyJ2iQAALg/NrVm5rYz5KbmROad85spAQAA3Cc2hp03b9FyXt5cynAM298HqMw4+brNvm2dS94cSct2lv38cWsbj7YxbWuc6Y932zi2jVn7+wTZ94YNOAEAAO47y4eWAS0n+vMhLQtaXrTPWO603OhnS8ufllFtbqTlyLCxexnhuhvpcow5LwtazrQM6WdQy4l+U3TLlZZL/Qxpe1KGDdcBAADuktUBLdNlWabpdKper+fyl2W4NE01nU6v3D+bzZSmqcuDefcX0el0VK1WFUWRy0yWubrdrqrVqtrttsta7XZb1WrVXWu1Wlf2zLE8F8fxXM4DAADA9Vg9z+p8WZZpPB6r3++7el6SJK7+Z+d6vZ6m06myLHOf7ff7mk6nLj/6969i48KWEf1MaTU9qwnmZcpl98dxPFf7AwAAwPr8NShJklxZl+KfK/Lejq9fv9ZkMln5/bu7u4rj2OXARe9XXQ/vtbmJAAAAKM8y3rL8t+pne//3v/996T7eYdZblveKXGNfGwAAgMVms5l6vZ56vZ6SJFGapu5n/334c5Ik6vV6bg5jnjiOFUWROp2OoijKfcVxvPC6rTkGAOB9kySJjo6OlCSJjo+PdXR05I7+uZcvX+r8/Nx9zmoe+/v72tvbc0f/XBzH+slPfsIcKgBAIX/729/0/PlzHR4eutfp6ana7bZ+9atf6eDgwL3++Z//+a5/XQC4M0+fPpUkPXv27I5/EwC4G1mW6bPPPtPh4aFevHihP/zhD/r222+1s7Ojn/3sZ3O58be//a3rrw4A2DyrP4e1Z//49ddfz43xLqo9h8ePPvqIHiEAgLfWYDBQmqalXjZXKk3TuXFZY/PQu92um+fU7Xbd0X/vH+0989cBAMDbKNwzouz6wLJrBPPW/5X9+dGjR6rX6xv8KwEAALwd1tnna9V76ym1TNl9vYq8f/z4sWq12ob+cgAAAO8O6+3p95OaTCZz/QAWnbM+VX7fgMlkMte7qkj+k+R6gVrvKb8nQBRFqlar6nQ6S891Oh3Xc8oyZafTUb1eZ98IAACANVmeS9NUs9nMZcPhcOgyZJF78vqcDgYD17e0CL//qPUrzesVZdlyUb+pMDP6zwUAALgLVqOTvl9PfXZ25mpu1vdTusxmlqcuLi5clhoMBppOpy6HSd+v85Pk+sVbr09JStNUFxcXru+nf62Mra0tl6Msm1lWk+T6M1m/eOv5aX1Et7e3FUWRJLk1ENZT3j5juc2ea33m/e8GAAC4ryzzWX6ULrOe5cZF53q9ns7Pz+cypJ2zDGnX/OxpmdVqf7PZTP1+v/TvbjnP8p0kRVGk7e1tlwUtA/rZr91uq1KpuJqfZUvpMlNaNrX86edOy5tWRwQAAMD3LN/575edW/faqvstk5Zl+dJ/Hx7LXit7v70HAABA+XyZd+4mniGtnzGlYhmx6LnrPIN6JgAAwKW8Me68sfC8MXN/bN3G2y07+uPiNrfSn8Np4+j+nE+bu7kOG/u2tTDS5Xi2Pw/TxtFt/Fu6HBv3s6Ods+zoP9fmci4bSwcAAMClm65RXudc0X178tzU2Pl16p6WRQEAAPC9vLFsf4231Rz92qTVK/PWo/t1UKt52v3+ep/wfr8eWpZlPr++aPVOv7ZpNUu7318/lHe/ZUercebd79dJyZoAAACL3dZ8zLLPvY01Qtc5t84z6AkNAHgXhHsI+rUlY3PojNWLjM2PM/5cO2l+3p40v3eisfqUCbNAON/Ozw2S5mpdkq7sZ3OdmlYZ4b//Nq/P2Dw849ep/Hl70uX+i3nPDu8N143Y3EFJc3vrSJc1urzf0a+rSfPZCgAAAAAAAAAAXNq68EdPAAAAAAAAANyYZYuPVl2/jc/YAvzryFuEVPb9TTxj2XsWQgEAAFzK27TJNvf0F8vZwjvLjnmb0i/byEm6uvFT3neW5W/uZAva/AVptvjM8qDf+N0WtfmL0vI2fLJn+M+1z/rP8zd9AgAAeB/cRrP2srXMcIOHMspuprTOZ8o8m41BAQDAfWE1Qb+GaPU/y3r+Nasl2jW/bpjXEHPZuby65TryxpfzzuU1zFx1Lq/Z5rJzfq0SAADgfZbXBN3fRDZvDDpswp7XcL3oc/PGx8vKG7/2x6OXNWPPqyXa5qurnmvj3P4mq+FmrAAAAPfBXTceuslxbv/9bY1jL7tGngQAAPfFbc6JLJof111Ps252vMmGluRGAABwX103I17389fZH2gTa2iKniNPAgCA++w21mSXvf8mcuVt1B2L3m/zKQEAAG6LP6Y7nU6Vpqlbe2LzBNM01Ww2U5ZlLmstu7/X62k6nSrLsrn1MavYOhTLQrYPoq1TiePYrSmxey1HWW6y9StF7gU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Ozk54vd4WnhER0eJQrVYRiURw+PBhHDlypK4cPnwYhUIBAKDX6xEOh7F06VIsWbKkYeF8KUR0piqVSnjjjTewd+9e7N27FwMDA9i3bx/eeOMNTE1NAQCWLFmClStXor+/HytXrkRfXx9WrVoFt9vd4qMnIgD45S9/iY9+9KPo7e3FL3/5y2P6zszMDH71q1/hySefxFNPPYWRkREsWbIEH/rQh7BmzRq8733vQ1tb2zwfORGtW7cOjzzyCEqlkqbdZDLh5ptvxpe//OUWHRnRmaNSqeC3v/0tnn76aezYsQNvvPEGfD4fLr30Ulx11VX44Ac/CJPJdEz7uuiiizA4OIidO3fioosumucjJ6LZlMtlDA4OKn/jqv/enZiYAAAEAgH09fXV/b0bCoVafPRERK1VKBRw+PBhDA0N1d13OXLkCCKRCCqVCgCgvb0dy5YtQ09PT919l6VLlyIcDkOn07X4jIiIWi+RSChjhRqNGxoZGdGsIeLxeGYdN9Td3c1x7UR02ioWixgfH591zLrYHhkZqcuvWyyWWcesq7eDwSDnTyaiM06xWFTmGVHP7ZRMJjE2NtawrTbWdnR0aJ7JFM/B+3w+hEKhum2OzSSiM9HMzAzGxsYwPj6OsbGxuqKep1TM/TQ+Pq7Zh5inVMRVMSepeO49GAxq6nzOiIjOZOq1mmbLJ4gSi8VQrVY1+1A/D98op6Bu6+rqOubxREREp6PZ4m5tiUajGB0dVZ5PEmrXxGsWc0VbIBDgPHtEdMaamJhQ8gzq+fVmy/WWy2XNPqxW6zHNs6du5300IpovlUoFmUxGWQd0YmJCqYt1646nXjvHqJrFYoHValXWERXr2TudTtjtdmV90GZ1u92urJHncDgW8CoREc2PdDqtxNJ8Po9UKqWpi3VERVHHa7F2cyaTwcTEhGbcay31Gswul0uJqSKuOp1OJTY7HA5Nu/i8w+HgWFkiOi0UCgUUi0VNXvVE68lksu5vfrXavKskSWhvb69rb9Qm2p1OJ3MCRHTKK5fLSn9W5A5qcwmN+sLZbBa5XE4pmUwGmUxGeZ62ltlsVvqu6n6vzWaraxNFkiTYbLa6NiKi08H09DRyuRxSqRTy+bwmpqbTaSXHkMvllByDui2TySixuHaMgZokSUq8FbFUxFzRJvIM6jaRixB5CbPZvIBXh4ho/mQyGSWWir6tOr6KOCz6vuqYq25Lp9N1Y2sFo9FYF2/V/V6bzabJ+4ptSZI07Yy9RERERERERERERERERERERERERERERERERERERERERERERERERERERERERDSfdNVmsy0TERERERERERERERERERERERERERERERERERERERERERERERERERERERER0SmlXC4jk8kgk8kgnU4jlUopddHWqJ5Op5XtmZmZuv22tbXB6XTC6XRCkiQ4nU64XC7Y7XbY7XbYbDa4XC44HA6lbrfblTZRt9lsLbgqREQnr1AoIJVKNSzFYnHW98fGxlAqlRru12KxQJIktLe3K9uiHGub2+2GxWJZ4CtCRHRyqtWq0gdV90Ub9U/VfdhUKoVsNotcLoepqamG+zYajUpf1Ol0Kn1W0VeVJKmuTfR1RV0UIqJTyczMTF1sVcdTET+z2awSV7PZbF17MyIP4HA4NPFTnQ84lnYiolNJoVBQYmU2m1X6o7VF9FsbvZdOp5vuX5IkJa6qizqO2mw22Gw2pV3UbTYbJEmCzWaD0WhcwKtCRHTyGuVTj5ZnVb8vy3LD+1lA85zrseRb1XWPxwOz2bzAV4aIzjS5XA7RaBSJRAKJRAKxWAyJRALJZBLJZBKJRAKyLCv12pxoR0cHvF4vAoEAvF6vptS2+Xw+uN3uFp0pEdHCUPcno9EoIpGIpk9Z2xaNRjXfN5vNcLvdSv8wHA4jFApp+pDqtmAwCL1e36KzJSKaf1NTU0qfNB6PK33UeDyu9FPV/djJyUnN961WK3w+HwKBAHw+H7xeLzweD/x+v6av6vF42F8lIlIR/dpG/dfa+vDwMMrlsub7IsdZ259tVO/q6oLJZGrRmRIRtV4ymYQsy0q/VmzH43HE43GlPxyLxZDP5zXftdlsCAQCmlysz+fT9H1Fu9/vh8PhaNFZEhG1nizLSjwV8TYSiSj3yESuIZFI1N0PkyRJyS34fD4Eg0FlOxAIwO/3w+fzwe/3w+PxtOgMiYgWTqlUQjKZRDQaxeDgICKRSN324cOHUalUAAAmkwkejwfhcBi9vb0IhUJ120uXLuU9LyKi/y+VStXFV1H27duHiYkJAG8+w+r1epWYqi6hUAjLli1DR0dHi8+GiKi1SqUS9u/fj4GBAezZswcDAwMYHBzE66+/rvz9HwqF0N/fj76+PuX1rW99K5/xJ1qkqtUqvvKVr+COO+5AtVoFAMRiMfh8voafLxQK+OlPf4pdu3bhhz/8IWRZRl9fH9asWYPVq1fjoosugk6nW8hTIDrjvfLKKzj//PObvnfeeect8BER0Z49e7Br1y48/fTTeOmll+B0OnHJJZdg9erV+MhHPtK0b5xIJBAMBlGtVqHT6fDAAw9g3bp1/L+VaBGKRCLK38Ti7+PXX38dsVgMAOB0OrF8+XLlb+Pe3l709fVh1apVvH9DRIQ359pPJBJ1923E/ZzDhw8rzzOZTCZ0dXXV3bcR93OWLVvG/hIR0f+XSqUajjsS20NDQ5rx85IkNRx3JLaXLFnC9UeI6IwwNjamjHsXz9/XzhslxsenUinNd81mszLuXT0+PhwOw+/3IxQKIRgMKuPjiYjOVNlsVjPvXjKZVOKvui0ejyMWiynjOgWbzaaJp+IZ0NptMe8JEdGZTOQHZpvTRNQbzQMt8gWzzWki6oFAAAaDoUVnSkTUWlNTUxgbG5t1XlR1WzKZbDqf1LHMkcp5UomIjn9+6lgspjwjIdT2d2eLwZzLj4jOdOl0GrIsY2xsTJPHFXlddbssy3XrpOp0urp5+zwejzK/n2hXz/lnsVhadLZERH/ob9autXci9Uwmo8wTVeto6+4d7T232814SUSnjenpaeRyOaTTaUxMTCCfzyOfzyOVSmnq6XQa+XweuVwO2WxW+U4mk1HqhUKh4W8YjUbNOtJ2u11ZW9putx9zO2MvEZ1ORHwVcTWdTiOXy9XFWbGtfhWfzWazKBaLDfdvMBjgcDjgcrmUuCqKaFO3i8+KImIw87NEdDqZnJxUYm0mk0Emk1HqIq42alPH6Hw+j2w22/Q31PHWZrNBkiQ4nU5NEXFWXVfHX44FI6LTzWy53GNtKxaLdc+TqTXL8R5LHtjr9bLfS0SnHZF3yOfzmhyuOv8r8hKijyv6wuLzot6IxWJR+rPqnIK6nytywrX9XtHO2EtEREREREREREREREREREREREREREREREREREREREREREREREREREREREREzeiq1Wq11QdBREREREREREREREREREREREREREREREREREREREREREREREREREREREREpFYqlXDkyBGsWLGi1YeyoEqlElKpFMbHxzE+Po5UKoVMJqMpqVQK6XRa0ybqk5OTDfdrt9vhdDrhcrngdDqVIuoul0uzrf6M0+mEzWZb4CtBRPMhGo3CbDbD7Xa3+lAWVKFQ0MRNsZ1OpzVxVt2ubsvlcg33a7VaG8ZOsS1JUsN2p9MJu90Oh8OxwFeCiObDwMAA+vr6Wn0YC65cLmviZm2pjauNYmwjjWJrbV/V4XAocVS8ulwuZdtisSzw1SCiuVQqlTA0NITly5e3+lAW3PT0dF1ftVl8bdTWrN/qcDjgdDo1cVPEVFEX783WTkSnrlgsBrPZDEmSWn0oLVEoFJBKpU6oFIvFhvu0WCxob2+HxWKBJEl1pdl76vZAIACDwbDAV4OI5srevXuxatWqVh9GS0xOTmr6qmK7tv+azWY129lsFplMBoVCoeF+Ozo6NH1XkWMV/VJ1u8gFiDyBaGtvb1/gq0FEcyWXy2FoaAj9/f2tPpSTMj09jUQigUQigVgsBlmWkUgkEI/HEY/HkUgkIMsyYrEYEolEXX/T7XbD5/PB6/XC6/XC5/PB7/crda/XC7/fr3ymo6OjRWdKRKeCffv2IRAInNL5gGq1qsTVeDyuxE9ZlhGNRjXbyWSyrq/Z0dEBr9eLQCCgia/qus/ng8/nQyAQ4PgoIppVpVLByy+/jAsvvLDVh3LCRFyVZVnTRxVxVmyL/mztvSeLxaL0SdWxNBAIaPqpwWAQPp+P/VUiOmnDw8Mwm83w+/2tPpSTIu5VRaNRRCIR5T5Uo/rw8DDK5bLm++LeUjgcRigUUu47Nap3dXXBZDK16EyJ6HTwm9/8BhdccEGrD+OETU1NYWxsrGGsrd1uFnPV8bXZdmdnJ1wuV4vOkohOJxMTEzh06BDOOeecVh/Kccvn84hEIkqOVtwba9Smjrcmkwl+vx+hUEjJJ/j9fgSDQSVnGwqFlDwD+7dENNdeeeUV9Pb2Lsr+XKlUQjKZRDQaxeDgICKRSN324cOHUalUALwZUz0eD8LhMHp7exEKheq2ly5dCr1e3+IzI6IzWbFYxC9+8QtccsklrT4UAH/ogzcr4v6YwWBAV1cXli1bVleWLFmCcDjM+EpEi9Z//Md/YOnSpXjLW96yIL+XyWRw4MAB7NmzBwMDAxgcHMSePXuwb98+VCoVGI1GdHd3o6+vD/39/crrqlWrOK6A6BQyNjaG6667Dj/5yU+Uv0sNBgO2bduGT33qU8rnxsfHsWvXLuzatQvPPfccJicncd5552H16tW45pprcPbZZ7fqFIjo/1uxYgUOHDigaevt7cXBgwdbdEREJBw5cgQ//OEPsWvXLvz85z9HW1sbLr74YqxevRof+9jHEAwGlc9+61vfwo033oiZmRkAgF6vxx//8R9j+/btCAQCrToFIjoOqVSq7m/pgYEBHDp0CNVqFSaTCcuXL9f8Ld3b24v+/v4FnWOvVCohGo1iyZIlC/abRETHo1KpIBKJ4PDhw5p7PqI+MjKi9JkcDgeWLl3a8P7PsmXLYLVaW3w2b9q9ezfe8573cE5VImq5VCrVcPyS2D5y5AgmJiaUz0uS1HD8ktheunTpoom1aul0GoODg3j729/e6kMhotNMqVTSPLevfqZfzEklxt3LsoxSqaR812g0KmPug8Eg/H4/wuFww7ZTcZ6U119/fVH1wYno1FYsFpX1/WZ7njQSiSCRSGB6elrzfdGPne15UkmS0NPTA7vd3qKzPHmn+rPDRLQ4iFzBbHOmiLosy0puVlDH3KPNoXKqz90vyzKmpqbQ3d3d6kMholNUMpnUFJFHqG1LJBJIJpN161ebzWbN3NbquVhr57YWz/qf6l5//XWsWLECZrO51YdCRKegqakpJb6K/K065sbj8brYLJ6rECRJUtYSEPNcizlbxZwq6ph8OnjllVd4j42ITlhtnqFZviGVSmF0dLRu7etjmaNVbPv9frS1tbXoTOdOLBZDpVJBOBxu9aEQ0RyqVCrIZDLI5XLI5XLKGn/ZbBapVEpTF2v/NXqv2XqAFotFs/afy+VS1vkTRawB6HK5IElS3bZOp1vgq7J4DA4OYtmyZWf0NSA6HZXLZSWmiriazWaVOHys7c3WuTaZTA3jq4jDojSrn8pjE+bCgQMHsHz58lYfBhHNA7FeSyqVQrFY1NRna1e3NRr/JYhcwbGW9vZ25TvBYPCMnVNQlmXl7wYiOv2k02kl5yBKKpVCLpdDPp/XtIn+rijpdBqZTEbz7JiazWbT5BrURd0Hrm0X22dyv/fgwYPo7e1lvoHoNFUqlZDL5ZQcQm18VZdG8TeTydSNBRNE7G1UGsXdRnH4TLV//36sWLGi1YdBRPNE3G8T989q46poS6fTSj+3Nk7n8/mG+25vb1furTWKuep2UXe73Ur+wel0LvDVWBzi8Tja29uZbyAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqLTmq5arVZbfRBEREREREREREREREREREREREREREREREREREREREREREREREREREREREREAJDNZrFt2zZs3boVV1xxBf75n/+51Yd0QgqFAlKp1HGXWCyGRtMGWywWSJLUtLS3tzf9jNfrhclkasFVIKLFYu/evdi6dSueeOIJPPPMM3j/+9/f6kM6IccTW6PRKCKRCFKpFIrFYsP9NYubs8VUUTweD8xm8wJfASJaLKrVKnbt2oX7778fe/fuRTqdbvUhnZCZmRmMj49jfHwcqVRK2a4tIrZmMhmk02lkMhlMTEw03KfT6YTL5ap7bdYmSZKm3Wg0LvBVIKLFIpvN4p/+6Z/wla98BR/+8Iexbdu2Vh/SCSkUCk3jqYij6qJuy+fzDffZKJbWlkbtIsbq9foFvgpEtFi88cYb2Lp1K77zne/g2WefxZ/92Z+1+pBOSCaTwdjYmNIvrY2l6lL7/uTkZN3+9Hq9JlY2ip/q+OpwOJQiSRIcDgcMBkMLrgQRtVq1WsWzzz6LBx54AK+//vopmw+oVCqamFkbX9XttbE1lUqhVCrV7dNsNtfFVIfDodkWMVUdW0Wf1eFwMCdAdIaSZRkPP/wwHn30Ufz1X/81HnnkkVYfUh1xf0p976m2LrZlWcbMzIzm+5IkIRQKQZIkhMPhpttdXV28r09Ec+Lll1/G/fffj6effhr/9V//hYsuuqjVh6RRKpWQSCQgyzJisRhkWW66nUgkNHG1ra0NPp8Pfr8foVBIs+31euH1euHz+RAIBOD1emG1Wlt4pkR0uiiXy9i+fTvuvfde5PN5RCKRVh9SnUKhoPRJG/VTxfbw8DDK5bLmu+r+am0/tbYeCoWg0+ladJZEdCbZt28ftmzZgn/913/Fzp07ccUVV7T6kDQqlQpkWUY8HlfyAZFIBLFYDIlEQnlNJpNIJpOYnp7WfN/tdsPv9yv9V7/fP2u9ra2tRWdKRGeKarWKH//4x7j77ruxb9++puNDWyWTySixVZZlRKNRJBIJJeaKHEIsFkMmk9F8t729HT6fT8kjiG2/36/kEAKBgPIex1kR0UJJp9P4+te/jq9+9av46Ec/umieoZ2amlLGac2Wa4hEInVjJiwWi5JHaHRPTLwGg0HGWyJqiZdffhmbNm3C893uT4kAACAASURBVM8/jxdffBHvfve7F/wYUqmUElsHBwcxODioqR85ckS5N2Y0GuH1ehEOh9Hb26vEUvX2kiVLOJ6ViBatqakpfOtb38Ldd98Np9OJ3//+9wvyu+VyGcPDw3UxVpRDhw4p87lIkoTe3l5NETG2r68P7e3tC3LMRERz5dVXX8XatWuxe/dufOc738EnPvGJOd1/KpXC4OAg9uzZg4GBAeVVxFaTyYTly5ejv78ffX196O/vR29vL/r7+2GxWOb0WIhoYb388su48sorIcuyZuyRwWDABz7wAWzbtg3PPfccnn76abzwwgvQ6/V4z3veg9WrV+Mv//IvEQqFWnj0RFRr8+bNuO+++5R/zyaTCRs2bMBdd93V4iMjIrWxsTE888wz2LVrF5599lkUi0VceOGFWLNmDa688kp8/vOfx+7duzXPWxiNRrjdbuzcuRMXX3xxC4+eiE5GJpPBgQMHlL+7xd/i+/btQ6VSgdFoRHd3t/K3t3hdtWoVOjo65vx4Xn/9dZx//vm46aabcMcdd8Dtds/5bxARzSdx76jRfaPBwUEcPnwYlUoFwOz3juYrzjZy1llnIZPJ4K677sL111/Pua+JaFGrHQ9VG29rn2kVsVY9FkpdX7p06YKPMX3ppZdw8cUX49JLL8WmTZvwzne+c0F/n4hIONp8Ac3mtxLrqcw2hl+SJPT09MBut7fwDP/ghhtuwM6dO3Hrrbfib//2b+FyuVp9SER0hqhUKsqzqfF4XHluNZFIaJ5bFduFQkHzfZfLpTyPqp7/qtEzrA6Ho0Vn2ZjVasXKlStx11134YorruDcMUQ078rlsjLnipifZbb6+Pi45vttbW2aeQWDwSD8fj8CgQDC4TD8fj86OzuV+VkW2zOrP/7xj/HRj34UH//4x7F+/XqsXLmy1YdERKe52rVda+fQrm1LJBJ1c2Id6/zZ3d3di3ItgY9//OP46U9/inXr1uHGG29cNHkQIjo9VatVpT8riujjivkHo9EoZFlW2sTYBODN8Z4ijyD6urVzYfn9fgSDQfh8vkU5bqBSqcBsNuOCCy7Ahg0b8Od//ufMNxDRvFL3eZvNvT3b/NvqubFO1fm3d+7ciWuvvRaf+MQnsG7dOpx99tmtPiQiWkTK5TKy2ayyNnYmk0E2m9UU8Z66ns1mlXUJs9lsw303Wz97trVf1WvAnso+9KEPYWBgAH//93+Pa6+9dlH2zYmodWpjby6XQzabRS6XU9rUa7/WtmUyGUxNTdXt12AwzBpva+Oyuu52u2Gz2VpwNebG1NQUOjo6cPnll2P9+vWLbr01Iloc1HG0drvRq1iLW7TV3iMD3hyjoI6pYo1tdZv6Pbfbrby63e5Teu3ZJ554Ap/73Odw44034uabb0ZnZ2erD4mIFpnp6WlkMpm6mKoutW21/d5GsVev18PpdCr5BKfTqcRadZxt9roYc7jHas2aNdi3bx/Wr1+P6667jvkGIqpTLpfrYmpt7K0tIvcgSqlUarhvdQ5B3CcT/Vp1Xf0qSdKiez7ieBSLRVitVlx66aVYv3493vOe97T6kIhokaodi5tKpVAsFhu2N/pMPB7XjBETxDPAx1sW69iFY/Hd735Xk2/o6upq9SERERERERERERERERERERERERERERERERERERERERERERERERERERERERERzTldtVqttvogiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI6Mw2OjqKhx9+GN/85jcxNTWF6elpXH755XjmmWdadkzT09MYHx/H+Pg4UqmU5vVobdPT03X7c7lc8Hg8kCQJbrdbeW22LV7b29tbcPZEdDp48cUX8aUvfQnPPPMMjEYjpqen8S//8i+47rrrWnZM5XJZiZm1MfRo9dpp1Q0GQ8M4Wlt3uVxwuVxwOp1wOp1wuVxwOBwtugJEdCorlUp44okn8MADD+DAgQPQ6/WoVCooFAqwWCwtO66pqammcXS2kslk6vZlNpsbxlNJkpQYKl5rt10uF3Q6XQuuABGdyiKRCB5++GF84xvfUPIBq1evxtNPP93S45qYmGgaP8fGxpq+VygU6vZlt9s1/VJ1qY2j6nZJkhhbieiE/OpXv8KWLVvw9NNPK/mA73znO7j22mtbelyFQgGpVKppiUajiEQimrZkMolyuVy3L4vFAkmSGpb29vZZ3w8EAjAYDC24AkR0qiqVSti+fTu2bNmCffv2Qa/Xo1qtolAowGw2t+y4ZmZmNH3TZtvJZFKTN8hmsw33J/qioh8qXhu11b7He1lEdLwGBwexdetWPPbYY6hWqyiXy7jyyivx/e9/f0F+P5/PY3R0FLIsIxqNIhaLKduJRAKJRELZnpyc1HzX4XAgFArB5/PB5/MhGAzC7/fXbQcCAUiStCDnQ0QEALt378Z9992H//zP/4TJZEK5XMa//du/4aqrrpr3356amkI8Hsfo6CgSiQTi8ThisRgSiYQmvsqyjLGxMc1329vb4fP5EAqFlBgq4qzf79ds+3y+eT8XIiJhcnISjz32GL70pS8hGo2iWq1Cr9djampq3vOL1WoVsiwjkUggFospMTUSiUCWZciyjEgkosTWmZkZ5bsmk0npmwaDQSWuBgIB+Hw+hMNh+P1++P1+eL3eeT0PIqLj9Zvf/Ab33XcffvSjH8FoNGJmZgaPPvooPvvZzy7I709MTGjyBdFoFLIsK22RSATxeLwu9ra3tyMUCil9WnWcFX1Zdb2trW1BzoeI6Gimp6exY8cO3HPPPfj973+vjIkdHx9fkNxmoVBQxgk0ex0dHa0b62qxWBAOhxEKhSBJkma7th4KhTj2iogWlUQigYceeggPP/wwSqUSyuUyLrnkEvzkJz+Z19+dmJjAyMgIYrEYhoeHEYvFNP1cWZYRi8UwPj6u+Z7D4VByCSK/EAgE6tr8fj/7uUS0aL300kvYtGkTdu/ereQbvve97+Hqq6+e098pFosYHh7G0NAQhoeHceTIEQwNDSn1oaEhzbMGwWAQ3d3d6OnpQXd3N5YuXYru7m50dnaiu7sbwWAQer1+To+RiGghlEolPP7449i8ebOSSzWZTCgWi3P2N3oqlcLg4GDDMjQ0pMz1InIIvb29dWXFihWca4CIThvDw8O488478d3vfhdtbW2oVqtYu3YtHnjggRPaXyqVwp49ezAwMKB5jUajAACn04nly5ejr68P/f396O3tRV9fH1atWsU+LNFpplqt4pFHHsGtt94KAJr75IJ4xsput+Pyyy/HRz7yEVx22WWw2+0LfbhEdIwOHDiAFStWaNreeOMNnHXWWS06IiI6mlwuh+eeew4/+MEP8OyzzyKXy0Gv1zf8v9lgMKBarWLjxo2466672EcnOo2USiXs379f8/f64OAg9uzZg2KxCAAIhULo7+9X/mbv6+vDW9/61pPqn//7v/87rr76ahgMBrS3t2Pjxo246aabWjrnIhHRXJqamsLo6GjD+04HDx5EOp1WPitJUsP7Tr29vViyZMmcPG9WrVZhsVhQKpWg1+vh9/uxadMmfPKTn4TJZDrp/RMRLbRKpaKMXR0ZGdGMqxoeHlbGtArt7e3o6elRxlT19PRgyZIlmnFWc90X3bFjB6699lro9XpMT0/j/e9/PzZv3ox3v/vdc/o7RERzZXp6GrIsIx6PK/MNiGdfY7GYMr/L6Ogocrmc5rtut1uZH0s8E9DZ2amMaQ0Gg+jq6oLVap3Xc/jABz6A3bt3o62tDSaTCbfccgtuueUWzilDRIuOmEe7dr5sdV1s184/INZ7Ec+7NntdiDmyU6kU3G43dDodqtUqVqxYgbvuugtXX301nwcjokWjXC4jmUwimUwq/d3aungONhqNap7RMhgM8Pv9mmdfOzs7lWdgxVwwnZ2d897XFf7hH/4BN910k5JvuOKKK3DnnXfiggsuWJDfJyI6mpmZGU2cVc8X22hbjEsQxJzcYl7D2bYXau2Ciy66CC+99BIMBgMsFgtuvvlm3HzzzfD7/Qvy+0REs6lUKpBlGclkUsnlihgs1kZIJpPKvIe16x+KNRG8Xi/8fr+S5/V6vQgGgwgEAvB6vQiHw3A6nQtyTvF4XJkPoVKp4Oyzz8aGDRtw9dVXw2g0LsgxEBE1U61WlfVmksmkJtaK2Kt+r9E8h2KtGbEugnodmkAgoJl7dqHmOXz00Ufxd3/3d5p8wx133IF3vvOdC/L7RHT6q1QqSKfTSKVSmtdjKalUqm5tLwDQ6XSatQ7dbjc8Hg/cbvdRy2IYN/v2t78dv/3tb6HX6+F2u7F27Vp85jOfgcvlavWhEdFpolAooFgsHnWd70alWCwilUo13K9Yy7t2zu7ZymKYU3ZoaEh5NmNmZgbnn38+NmzYgA996EN8VpaI5oyIuScSf4vFItLpNKrVqmafIu4eb1kMc85u3boV69evV+YPuuaaa3DbbbfhnHPOaelxEdHpZWJiAplMBul0GplMRlNE/kHU0+k0xsfHMT4+jlQqhfHx8YZzq0iSBLfbfdyvHR0dLbgCWm9729vwf//3f9Dr9ZAkCbfeeituvPFGrn1ORHOqUCjUxVx1TlcdZ2tfa++dAUBbW5smps4Wb2u3Wz0/zZEjR7B06VJlfMN5552HO+64A1deeWXL++NEdHqZnp5W+riiiPg623YqlUI+n6/bn9lsbhhX1dvN3mv1fbatW7fi9ttvh8FgQKVSwTXXXIN169bh3HPPbelxEREREREREREREREREREREREREREREREREREREREREREREREREREREREREc0lXbV2NSMiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKiBbJ//348+uij2LZtG6rVKsrlsvLeW9/6Vvzud7+bs9/KZrOIx+NIJBJIJpNIJpOQZVlTTyQSkGUZ4+PjyOVydfswm81wu92QJEnz2mxb3abT6ebsXIiImqlUKnjmmWdw77334uWXX0ZbWxump6cBACaTCffeey/WrVs3J781MzNTFz9FTE0kEsr2+Pi4UvL5fN1+2tvbNfGyNn6q6x6PR9l2Op1zch5EREeTy+Xw7W9/Gw888AASiQSq1SrUSz0cOnQIS5cunZPfKhQKDeOq6LuOj48jlUppYuvExETdfqxWa9OY6vF4mr5ntVrn5DyIiI7mwIEDeOSRRxYkHzA+Pg5ZljXxtLafWlumpqbq9uN0OjUx9FiL0Wics3MhImqmWq1i165dePDBB/Hzn/8cRqNRia0mkwn33Xcf1q5dOye/VSqVlJgaj8ebxtSxsTFNfWZmRrMfg8Ewa1xt9J4kSXC5XMy1EtGCyOfzeOyxx7BlyxbIsgzgzfyrcPjwYSxZsmROfiuXyyEej2NsbEwTPxtti89kMpm6/XR0dNTFUY/Ho2y7XC4llqpfJUmak/MgIjqaV199FV/+8pexY8cO6PV6TT7gggsuwK9//esT3vfMzAxkWUYsFkMkEoEsyxgdHYUsy4hGo4jFYsp7k5OTyvf0ej38fj/8fj+CwSD8fj98Pp9mOxAIIBAIwOfzwWKxnNQ1ICKaS2J8wKZNm/DKK6/UjQ/48pe/jJtvvvmE918oFBCNRhGJRJBKpZTt2td4PK7pK1ssFkiShHA4jFAoNOt2KBTi3/lEtKhks1k8/vjjuPfee5FKpVCpVDTjAyKRCEKh0Ante2pqCrIsY2RkRHmNx+OIRCJKXzUWi0GWZU0+1WQyKX3UYDAIn8+HcDis9GPD4bDSb/V4PCd9DYiIFtqLL76I++67Dy+88ALa2tqUfIHZbMa6detwzz33nNT+U6mUpv/arG+bSqU03xP9VXUftvaVfVoiOhWVSiXs2LEDmzZtwuHDh6HT6TR/17/22ms455xzTmjfIk8r4qu6nytyCKI/XCqVlO+1t7cjFAopJRwOIxAIoLOzE4FAAKFQCD6fDz6fj2OxiOiUFI/H8bWvfQ0PPfQQZmZmlDwuACxfvhz79+8/of2WSiXEYjGMjIwgGo1idHQUkUgEkUgEo6OjiEajGBkZ0TwnazQaEQwG0dXVpeQYxL0wkW8IhUIIBAJob28/6XMnImoVkW94/vnnNWNqzWYzNm/ejNtvv/249qfOLwwODipFtB0+fFjpV5vNZnR2dip9297eXvT29ir1s88+Gzabbc7PmYiolcrlMrZv346NGzdiZGSk7hnc0dFRhMPhY9pXKpXSxFh13N23b5/yPK3JZEJXV5cSZ2vj7bJly5i7JaLTWj6fx9atW7FlyxZUKhWlz6vT6XD55Zdj165ds34/EolgYGAAe/bsUV5fe+01ZLNZAG/eK+vt7UVfXx/6+/uVV8ZXojNDMpnEddddh927d2vuI9XS6XRYv349vvjFL8JsNi/gERLRyXjb296GV199FQBw7rnnzuncHkQ0v6amprB582Zs2bJFk3uppdfr8d73vhfbt29HMBhcwCMkooVWLpcxPDys+ft+YGBAk0uVJKnu7/tzzjnnmOLDpk2bsGXLFmUuLoPBAK/Xi7vvvhuf+tSnYDAY5vX8iIha7WTuW6nHDBxrXnV0dBRdXV1KXafTQafTwe/3Y/369bjxxhuZgyGi006pVMLIyEhdrBX1/fv3K/evgD8876Uel6WOu0uXLoVerz/m39+yZQs2bdqk9HnFWLN3vetduPfee/H+979/zs+ZiGihFAoFxGIxRKNRyLKszMmlbhPzHajnAXM4HOjs7EQ4HEY4HFbGxHZ1dSEYDKK7uxuBQAAmk+mEjmv58uU4ePCgUhfPin3yk5/EnXfeie7u7pM7cSKiFiiXy8oaXeo5ENXP2EajUUSjURQKBeV7JpMJfr8fXV1dmmdqw+EwgsGgMqeB3+8/4Xzsa6+9hnPPPVep6/V6VKtVhMNhrFu3Dp/+9Kf5DBkRnXIKhcKs8yKK94aGhjTP89bOj9hobsRwOIzu7u6TmtPgzjvvxNatWxvmGzZs2IA1a9ac9DUgIlpI2WwW0WhUWU9xtu3aNWrtdrvSpxX9XNHXFX1hMZ/iyTyn0NPTg+HhYaVuNBpRrVZx9dVXY+PGjTjrrLNOeN9ERAtN9HfVfd5m24lEQtPnNZvNcLvdTfu6oq2npwd2u/2Ej/GVV17B+eefr9TF/blgMIjbbrsN119/PdfDJaJTxtTUlNKnjcfjSq43Fosp2+I9WZY169u2tbXB7/crcyWKfq+Yz0u0hUIhOJ3OkzrO9evX46GHHmqab1i9ejWf/SWiliqVSkin0w1LKpVCOp2uW9dWFDEeV81mszVd07bZ2rc+nw9tbW1zdk6hUAixWEypt7W1oa2tDZ/+9Kdx6623oqenZ85+i4joRBSLRWQyGSXeNoqxqVSqYZs6nwC8+exC7brhjWKtJEnweDzw+Xzw+/1wOBxzdj7/8z//gwsvvFCpGwwGVCoVdHV14dZbb8UNN9yAjo6OOfs9IqITUSwWG8bYZtuipNPpun0ZjUZNvG227fV6EQgE4PV64fV653Qd3bVr1+LrX/+6km8Q619yfAMRLSbZbFYTX48Wf8Vr7fgF4A/jx9SxVrx6PB5l/XIRcz0eD7xe75zmXmfLN3zhC1/AkiVL5uy3iIhORKVSUeJpbWw9Wpv6WQmho6NDE3MlSYLX64Xf71firSii3zuX4w2a5Rs6Ozuxdu1a5huIaFEolUp1MbZ2u9l76jEMgtVqVWKvyOWKvq3X623YNpdrQq5duxaPPvqosj5lbb6B4xuIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjodKCrVqvVVh8EERERERERERERERERERERERE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+ "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inputs = Input(shape=(33, MAX_UTTERANCE_LENGTH), dtype='int32')\n", + "cnn_output = []\n", + "for ind in range(33):\n", + "\t\n", + "\tlocal_input = Lambda(slicer, output_shape=slicer_output_shape, arguments={\"index\":ind})(inputs) # Batch, word_indices\n", + "\t\n", + "\t#cnn-sent\n", + "\temb_output = embedding_layer(local_input)\n", + "\treshape = Lambda(reshaper)(emb_output)\n", + "\tconcatenated_tensor = Concatenate(axis=1)([maxpool_0(conv_0(reshape)), maxpool_1(conv_1(reshape)), maxpool_2(conv_2(reshape))])\n", + "\tflatten = Lambda(flattener, output_shape=flattener_output_shape,)(concatenated_tensor)\n", + "\tdense_output = dense_func(flatten)\n", + "\tdropout = Dropout(0.5)(dense_output)\n", + "\tcnn_output.append(dropout)\n", + "\n", + "def stack(x):\n", + "\treturn K.stack(x, axis=1)\n", + "cnn_outputs = Lambda(stack)(cnn_output)\n", + "\n", + "masked = Masking(mask_value =0)(cnn_outputs)\n", + "lstm = Bidirectional(LSTM(300, activation='relu', return_sequences = True, dropout=0.3))(masked)\n", + "lstm = Bidirectional(LSTM(300, activation='relu', return_sequences = True, dropout=0.3), name=\"utter\")(lstm)\n", + "output = TimeDistributed(Dense(7,activation='softmax'))(lstm)\n", + "\n", + "model = Model(inputs, output)\n", + "tf.keras.utils.plot_model(model, to_file='test.png', show_shapes=True, show_layer_names=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(114, 33, 7)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Y_dev_data_groups_emotions.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(114, 33, 50)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_dev_data_groups.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer='adadelta', loss='categorical_crossentropy', sample_weight_mode='temporal')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "from keras.callbacks import ModelCheckpoint, EarlyStopping" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n", + "model.fit(X_dev_data_groups, Y_dev_data_groups_emotions,\n", + " epochs=50,\n", + " batch_size=64,\n", + " shuffle=True, \n", + " callbacks=[early_stopping],\n", + " validation_split=0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}

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