{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":101849,"databundleVersionId":13093295,"sourceType":"competition"}],"dockerImageVersionId":31089,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2025-09-24T18:16:55.898778Z","iopub.execute_input":"2025-09-24T18:16:55.899093Z","iopub.status.idle":"2025-09-24T18:18:23.14213Z","shell.execute_reply.started":"2025-09-24T18:16:55.899068Z","shell.execute_reply":"2025-09-24T18:18:23.141428Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"This notebook is inspired by-[Perfect EDA doesn't exist](https://www.kaggle.com/code/lordpatil/perfect-eda-doesn-t-exist')","metadata":{}},{"cell_type":"markdown","source":"# What the challenge is all about\n\nImagine that we are on a space mission and our task is to figure out what the alien planets are made of or what os its chemical composition. For studying such intricate information about planets the scientists observed that far away planets sometimes walk infront of their stars. When this happens, a tiny bit of star's light passes through the planet's air before reaching us on the earth.\n\nThe scientists devised a special space telescope called Ariel that takes pictire of this light. But these pictures are really blurry and noisy.\n\n![Transit Spectroscopy](https://cdn.esawebb.org/archives/images/screen/weic2206b.jpg)\n\n*Our job is to clean up this messy images and figure out what gases are in the planet's atmosphere*\n\nThis mission is cool because if we can figure out what is in the alien planet's atmosphere then we might find the planets that have oxygen, water or other things that could mean life exists on this planet.","metadata":{}},{"cell_type":"markdown","source":"The instruments that the scientists used to determine the transit spectroscopy are FGS-1 and AIRS-CH0. Our task is to use the data collected by these instruments and clean them because the data collected by them are blurry and very noisy.","metadata":{}},{"cell_type":"markdown","source":"# Loading the Dataset","metadata":{}},{"cell_type":"code","source":"from pathlib import Path\n\nROOT=Path('/kaggle/input/ariel-data-challenge-2025')\ntrain_df=pd.read_csv(ROOT/'train.csv')\ntrain_star_info=pd.read_csv(ROOT/'train_star_info.csv')\nwavelengths=pd.read_csv(ROOT/'wavelengths.csv')\ntest_star_info=pd.read_csv(ROOT/'test_star_info.csv')\nsample_submission=pd.read_csv(ROOT/'sample_submission.csv')\nadc_info=pd.read_csv(ROOT/'adc_info.csv')\naxis_info_df = pd.read_parquet(ROOT / \"axis_info.parquet\")\n\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:18:34.982367Z","iopub.execute_input":"2025-09-24T18:18:34.983123Z","iopub.status.idle":"2025-09-24T18:18:35.309999Z","shell.execute_reply.started":"2025-09-24T18:18:34.983096Z","shell.execute_reply":"2025-09-24T18:18:35.309393Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Looking Into the Dataset","metadata":{}},{"cell_type":"code","source":"print(\"Train.csv\")\ndisplay(train_df.head())\nprint(\"Train.csv shape\")\nprint(train_df.shape)\nprint(\"Train star info.csv\")\ndisplay(train_star_info.head())\nprint(\"Train_star_info.csv shape\")\nprint(train_star_info.shape)\nprint(\"Test star info.csv\")\ndisplay(test_star_info.head())\nprint(\"Wavelengths.csv\")\ndisplay(wavelengths.head())\nprint(\"adc_info.csv\")\ndisplay(adc_info.head())\nprint(\"sample_submission.csv\")\ndisplay(sample_submission.head())\nprint(\"axis_info.csv\")\ndisplay(axis_info_df.head())","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:18:38.983361Z","iopub.execute_input":"2025-09-24T18:18:38.98411Z","iopub.status.idle":"2025-09-24T18:18:39.083049Z","shell.execute_reply.started":"2025-09-24T18:18:38.984077Z","shell.execute_reply":"2025-09-24T18:18:39.082108Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# What does each dataset contains\n\n**1.Train.csv**\n\n![image.png](attachment:96b979b4-85ed-41c3-a0c7-ca8c639d9b3d.png)\n\nThis dataset is a csv file that contains 1100 rows x 284 columns.\nThe train.csv file essentially contains the planet_id as the unique identifier and the columns wl_1 to wl_284 are spectral intensity measurement at different wavelengths.\nThe measurement [wl_1,wl_2....wl_284] correspond to the fraction of starlight at a specific wavelength that passed through the planet's atmosphere during transit.\n\nThese spectral intensity at different wavelengths help researchers study the chemical composition on a exoplanet.\n\n![Inferencing the presence of SiO2 crystals using transit spectroscopy](https://cdn.esawebb.org/archives/images/screen/WASP17b.jpg)\nThe image shows how the presence of SiO2 is inferenced using the Transit Spectroscopy.\nSimilarily, different elements/compounds behave differently for different wavelength of light, studying these behaviour helps in inferencing the chemical composition on a planet.\n\n\n_____________________________________________________________________________________________________\n\n\n\n**2.Train_star_info.csv**\n\n![image.png](attachment:5ddf7719-e78c-47fb-822c-eb89892733d5.png)\n\nThis file is a metadata about each exoplanet and its star. Each row corresponds to the same planet_id in train.csv, in future the two files(train.csv, train_star_info.csv) are joined together to get both the spectral and physical characteristics of the planet. Combing the physical data with the spectral readings, we can give our the introspective regarding why the wavelengths of the light is behaving the way they do.\n\n\n_____________________________________________________________________________________________________\n\n\n**3.Wavelengths.csv**\n\n\n![image.png](attachment:a7951f03-1fb5-4796-9df5-33e40fe70fb4.png)\n\nIn train.csv we have colums wl_1,wl_2....wl_284 and the spectral intensity of different planets corresponding to these wavelengths but we do not know what is the value of wl_1, wl_2...,. So, basically wavelength.csv contains the exact wavelength values(in micrometers) for wl_1,wl_2...wl_284.\n\nSo, we can now say that train.csv's wl_1 is brightness at 0.7 micrometer and so on..\n\nThe wavelength.csv is a crucial file since we can identify absorption band for specific gases(Water vapour, Carbon Di-oxide, Methane, etc.)\n\n![](https://cdn.esawebb.org/archives/images/screen/weic2414b.jpg)\n\nThe various wavelengths of light that get blocked by different gases, as shown in above figure helps in identifying the composition od various elements.\n\n\n_____________________________________________________________________________________________________\n\n\n**4.adc_info.csv**\n\n![image.png](attachment:7d75576a-5358-478d-92d9-d115c48c116e.png)\n\nThis file contains Analog-to-Digital Converter (ADC) caliberation values for different detectors.\nThe FGS1_adc_offset, FGS-1_adc_gain ---> has Offset and gain for FGS-1 sensor.\nThe AIRS-CH0_adc_offset, AIRS-CH0_adc_gain ---> has Offset and gain for AIRS-CH0 detector.\nThese parameters are used to convert raw detector counts into real physical measurements, correcting for systematic biases in the instrument's electonics.\n\n\n_____________________________________________________________________________________________________\n\n\n\n**5.axis_info.csv**\n\n![image.png](attachment:6d996e5b-6442-4dc6-b4d5-0b38e12979ae.png)\n\nThis file contains the information about the insrument's scanning and how the measurements were taken.\n\nAIRS-CH0-axis0-h, AIRS-CH0-axis2-um ---> Intrument geometry/position information for AIRS-CH0 detectors.\n\nAIRS-CH0-integration_time ---> how long the detector collected light for each measurement.\n\nFGS-1-axis0-h ---> Geometry info for the FGS-1 sensor.\n\nThis file is important because the axis measurements can be used to understand caliberation or alignment issues.","metadata":{},"attachments":{"8e3eecfa-5ff0-486a-b6b1-c5891afd6db9.png":{"image/png":"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"},"96b979b4-85ed-41c3-a0c7-ca8c639d9b3d.png":{"image/png":"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"},"5ddf7719-e78c-47fb-822c-eb89892733d5.png":{"image/png":"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"},"a7951f03-1fb5-4796-9df5-33e40fe70fb4.png":{"image/png":"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"},"7d75576a-5358-478d-92d9-d115c48c116e.png":{"image/png":"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"},"6d996e5b-6442-4dc6-b4d5-0b38e12979ae.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Manipulating the dataset ","metadata":{}},{"cell_type":"markdown","source":"Since, we need both the physical as well as the spectral information of the exoplanet and the star it is revolving around therefore, the train_df and the train_star_info is merged together to get the complete information of the planet.","metadata":{}},{"cell_type":"code","source":"#both the dataframes is of the same size therefore we can merge them.\nmerged_df=pd.merge(train_df,train_star_info,on='planet_id')\n\nprint(\"shape of the merged data:\")\nmerged_df.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:18:47.879363Z","iopub.execute_input":"2025-09-24T18:18:47.880038Z","iopub.status.idle":"2025-09-24T18:18:47.891184Z","shell.execute_reply.started":"2025-09-24T18:18:47.880013Z","shell.execute_reply":"2025-09-24T18:18:47.890294Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"merged_df.columns","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:18:50.791266Z","iopub.execute_input":"2025-09-24T18:18:50.792011Z","iopub.status.idle":"2025-09-24T18:18:50.797639Z","shell.execute_reply.started":"2025-09-24T18:18:50.791983Z","shell.execute_reply":"2025-09-24T18:18:50.796628Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"merged_df.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:18:56.564301Z","iopub.execute_input":"2025-09-24T18:18:56.565024Z","iopub.status.idle":"2025-09-24T18:18:56.582855Z","shell.execute_reply.started":"2025-09-24T18:18:56.564998Z","shell.execute_reply":"2025-09-24T18:18:56.582027Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#Study about wavelength\nprint(wavelengths)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:00.953384Z","iopub.execute_input":"2025-09-24T18:19:00.953987Z","iopub.status.idle":"2025-09-24T18:19:00.962559Z","shell.execute_reply.started":"2025-09-24T18:19:00.953964Z","shell.execute_reply":"2025-09-24T18:19:00.961799Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#we need to reshape the wavelength dataframe since its in the form of 1 row and 283 column.\n#SO DIFFICULT TO READ.\n\n#we can consider a dataframe as an array. when we take transpose of an array then the rows become column \n#and the column become the rows.\n\n# .T is a shorthand for transpose.\n#reset_index() function then moves indexes to their regular columns.\n\nwavelength_shaped=wavelengths.T.reset_index()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:04.225338Z","iopub.execute_input":"2025-09-24T18:19:04.225848Z","iopub.status.idle":"2025-09-24T18:19:04.230645Z","shell.execute_reply.started":"2025-09-24T18:19:04.225824Z","shell.execute_reply":"2025-09-24T18:19:04.22986Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#name the columns that hold some meaning.\n\nwavelength_shaped.columns = ['wl_id','wavelength_um']","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:07.877949Z","iopub.execute_input":"2025-09-24T18:19:07.878515Z","iopub.status.idle":"2025-09-24T18:19:07.882592Z","shell.execute_reply.started":"2025-09-24T18:19:07.87849Z","shell.execute_reply":"2025-09-24T18:19:07.881697Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#from the contest overview we know that two instruments are used that are: FGS-1 AND AIRS-CH0. So we now \n#try to label the wavelength data by the type of instruments.\n\n#for FGS-1 single point=0.7 and the rest are AIRS-CH0.\n\n#we create a new column named instrument that stores the corresponding instrument for a reading.\n\nwavelength_shaped['instrument']=np.where(wavelength_shaped['wavelength_um']<1.0,'FGS1','AIRS-CH0')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:11.140142Z","iopub.execute_input":"2025-09-24T18:19:11.140444Z","iopub.status.idle":"2025-09-24T18:19:11.145734Z","shell.execute_reply.started":"2025-09-24T18:19:11.140419Z","shell.execute_reply":"2025-09-24T18:19:11.144962Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"wavelength_shaped.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:14.464019Z","iopub.execute_input":"2025-09-24T18:19:14.464825Z","iopub.status.idle":"2025-09-24T18:19:14.470002Z","shell.execute_reply.started":"2025-09-24T18:19:14.464792Z","shell.execute_reply":"2025-09-24T18:19:14.469199Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"wavelength_shaped.head(15)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:17.674443Z","iopub.execute_input":"2025-09-24T18:19:17.674717Z","iopub.status.idle":"2025-09-24T18:19:17.684275Z","shell.execute_reply.started":"2025-09-24T18:19:17.674697Z","shell.execute_reply":"2025-09-24T18:19:17.683316Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"fgs1_count = wavelength_shaped['instrument'].value_counts()['FGS1']\nprint(fgs1_count)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:23.060871Z","iopub.execute_input":"2025-09-24T18:19:23.061516Z","iopub.status.idle":"2025-09-24T18:19:23.066752Z","shell.execute_reply.started":"2025-09-24T18:19:23.061492Z","shell.execute_reply":"2025-09-24T18:19:23.065924Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"airs_count = wavelength_shaped['instrument'].value_counts()['AIRS-CH0']\nprint(airs_count)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:26.359902Z","iopub.execute_input":"2025-09-24T18:19:26.360769Z","iopub.status.idle":"2025-09-24T18:19:26.366091Z","shell.execute_reply.started":"2025-09-24T18:19:26.360736Z","shell.execute_reply":"2025-09-24T18:19:26.36519Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"print(wavelength_shaped['instrument'].value_counts())","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:29.0352Z","iopub.execute_input":"2025-09-24T18:19:29.035496Z","iopub.status.idle":"2025-09-24T18:19:29.041301Z","shell.execute_reply.started":"2025-09-24T18:19:29.035474Z","shell.execute_reply":"2025-09-24T18:19:29.040525Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Understanding the *wavelength_shaped dataframe*\n\n![image.png](attachment:3ef1f23b-eb4c-403a-9e2d-56a9e743840b.png)\n\nThe new dataframe contains the wavelength information in the form of 283 rows and 3 columns, each wavelength wl_1, wl_2...wl_284 has the corresponding realwavelength measure in micrometers and the corresponding instruments that used to collect info at that wavelength. The instruments are added in the column named 'Instrument' contains the corresponding instruments to the wavelength (FGS-1 OR AIRS-CH0).\n\nFrom studying the dataframe, it can be concluded that there is one instance of FGS-1 sensor and 283 instances of AIRS-CH0 detector.","metadata":{},"attachments":{"3ef1f23b-eb4c-403a-9e2d-56a9e743840b.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Visualization of Training dataset","metadata":{}},{"cell_type":"markdown","source":"To clean the data and reduce the noise fron the collection if data from the instruments FGS-1 and AIRS-CH0 we need to visualize data first. Our main task is to visualize the **merged_df ** dataframe because it is our training dataset.","metadata":{}},{"cell_type":"code","source":"import seaborn as sns\nimport matplotlib.pyplot as plt\nimport warnings\n\n# Suppress the specific FutureWarning from Seaborn\nwarnings.simplefilter(action='ignore', category=FutureWarning)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:35.211014Z","iopub.execute_input":"2025-09-24T18:19:35.212014Z","iopub.status.idle":"2025-09-24T18:19:35.785644Z","shell.execute_reply.started":"2025-09-24T18:19:35.211986Z","shell.execute_reply":"2025-09-24T18:19:35.7847Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"merged_df.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:38.482564Z","iopub.execute_input":"2025-09-24T18:19:38.48299Z","iopub.status.idle":"2025-09-24T18:19:38.503791Z","shell.execute_reply.started":"2025-09-24T18:19:38.482963Z","shell.execute_reply":"2025-09-24T18:19:38.50286Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#from merged_df the numeric data is the one that we would like to study are the ones we merged from train_star_info.\nfeature_cols=['Rs','Ms','Ts','Mp','e','P','sma','i']","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:44.713174Z","iopub.execute_input":"2025-09-24T18:19:44.713846Z","iopub.status.idle":"2025-09-24T18:19:44.717461Z","shell.execute_reply.started":"2025-09-24T18:19:44.713819Z","shell.execute_reply":"2025-09-24T18:19:44.716641Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"palette=sns.color_palette(\"deep\",len(feature_cols)) \n\n#create 8 subplots for 8 features ['Rs','Ms','Ts','Mp','e','P','sma','i']\nfig,axes=plt.subplots(nrows=2,ncols=4,figsize=(16, 8)) \n\n#axes initially is a 2D array (2x4) of subplot objects. The '.flatten()' function turns it into a 1D list for easy looping\naxes=axes.flatten() \n\n# looping through all the features of the feature_cols.\n# 'ax' is the i-th subplot to draw image on. With each iteration a new subplot is considered for each feature.\n# the dataframe to be plotted=merged_df\n# the x-axis of the histogram will be the column of the merged_df\n# kde=True === adds a smooth Kernel Density Estimation over the histogram for shape visualization.\n# color=pallete[i]===gives each feature its own distinct color\n\nfor i,col in enumerate(feature_cols):   \n    ax=axes[i]\n    sns.histplot(\n        data=merged_df,\n        x=col,\n        ax=ax,\n        kde=True,\n        color=palette[i]\n    )\n\n    # Once the histograms are plotted a title is given to each column's histogram and the title is the name of the histogram itself.\n    ax.set_title(f'Distribution of {col}', fontsize=14)\n    #Using log scale because count span several orders of magnitude.\n    ax.set_yscale('log')  \n    ax.set_xlabel('')\n\n\nfig.suptitle('Distributions of Star and Planet Physical Parameters', fontsize=20, y=1.02)\nplt.tight_layout(rect=[0, 0, 1, 0.98])\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:48.791354Z","iopub.execute_input":"2025-09-24T18:19:48.792083Z","iopub.status.idle":"2025-09-24T18:19:52.285221Z","shell.execute_reply.started":"2025-09-24T18:19:48.792057Z","shell.execute_reply":"2025-09-24T18:19:52.284419Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Understaing Distributions of Star and Planet Physical Parameters\n\n**1. Distribution of Rs (Star radius in Solar radii)**\n\n![image.png](attachment:6592bdf3-ca33-465b-add0-85dca3501199.png)\n\n- The range of distribution is around 1.0 to 2.8 solar radii.\n- The histogram plot is slightly skewed right, the plot is most dense around 1.0-2.0 solar radii and then there are a few stars that are larger.\n- This means that the dataset mainly populated by sun-sized or slightly larger stars. The size is estimated by the radius.\n\n\n**2. Distribution of Ms (Star mass in Solar masses)**\n\n![image.png](attachment:3c6873bb-b111-425c-bf83-2e7830d92495.png)\n\n- The range of distribution is around 0.6 to 1.8 solar masses.\n- The distribution is somewhat bell-shaped but a slight distortion is observed at edges.\n- The distributionmeans that most of the host-stars are sun-like inmass, with few low-mass and hidg-mass stars.\n\n\n**3. Distribution of Ts (Star temperature in Kelvin)**\n\n![image.png](attachment:b650af07-fb43-4eab-9d72-5439a1cba732.png)\n\n- The range of temperature distributionis around 4500 K to 7000 K.\n- We can observe an almost flat distribution around 5500-6300 K, that is the distribution is centered around that temperature.\n- This means that the sample is dominated by G-type and F-type stars\n- G-type stars are like our sun they are yellow and have surface temperature between 5000 and 6000 Kelvin, while F-type stars yellow-white  with temperature ranging from 6000 to 7000 Kelvin.\n\n\n**4. Distribution of Mp (Planet mass in Jupiter masses)**\n\n![image.png](attachment:99116fc8-6bb0-4aaf-b5e0-fb8cddece7ec.png)\n\n- The range of planet mass distribution varies from 0-25 Jupiter masses.\n- The distribution is quite irregular and spikey, the log scale makes the small stars visible but the large gas-giants are dominating the data.\n- The distribution sigbifies that most of the planets are low-mass, but massive ones, that create the spikes.\n\n\n**5. Distribution of e (eccentricity)**\n\n![image.png](attachment:61269279-cfeb-4c1d-bd4d-3f7053529232.png)\n\n- A flat block at e=0, suggests that all planets are modeled as circular orbits.\n\n\n**6. Distribution of P (Orbital period in days)**\n\n![image.png](attachment:1986b55c-329b-48de-b944-00e9119f7e5c.png)\n\n- The range of distribution varies from 3 to 7 days.\n- The distribution is fairly uniform with no major spikes or dips.\n- The distribution suggests a strong bias towards short-period planets just like Jupiter and Neptune.\n\n\n**7. Distribution of sma (Semi-major axis in AU)**\n\n![image.png](attachment:2cee6d07-7942-404f-a48b-27a5f12aaa2c.png)\n\n- The range of distribution varies from 5-20 AU(Astronomical Units).\n- The distribution is right skewed, that peaks between 8-12 AU.\n\n\n**8. Distribution of i(inclination in degrees)**\n\n![image.png](attachment:38398216-aea4-46dd-8fa1-f0edde19dd80.png)\n\n- The range of inclination varies from 86-90 degrees.\n- The distribution is left skewed with a rise towards 90 degree.\n- This means that most orbits are nearly edge-on to us, that is also kind of important for transit to be visible.","metadata":{},"attachments":{"6592bdf3-ca33-465b-add0-85dca3501199.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAZ8AAAGBCAYAAAC5Prx/AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGyPSURBVHhe7d13fBVV/v/x1+01uek9BAi9oyhIs2NXXFGxrNjWhq7r6u66KnZF1/ZzVVgVrIiifBdQLKhU6QrSIUJISEJ6v73O7w8gawYCQSGkfJ6Px/mDe87MLbnM+86ZM+doFEVREEIIIVqQVv2AEEIIcbxJ+AghhGhxEj5CCCFanISPEEKIFifhI4QQosVJ+AghhGhxEj5CCCFanISPEEKIFifhI4QQosVJ+AghhGhxEj5CCCFanISPEEKIFifhI4QQosVJ+AghhGhxEj5CCCFanISPEEKIFifhI4QQosVJ+AghhGhxEj5CCCFanISPEEKIFifhI4QQosVJ+AghhGhxEj5CCCFanISPOOF8Ph9z584lLS2Nl19+WV3dIvLz8xkwYABnnXVWo8dfeOEFUlJS+PLLL/H7/Y3qWkpBQQFpaWnccsst1NbWqqvbjEgkwsqVK7nlllvo2bMnCQkJXHDBBfz000/qpqIDkPARx0RNTQ333XcfKSkpDSU9PZ0ePXowatQobr/9dj766CPKysrUm6IoCsFgkLq6Onw+n7q6Wf79738zcOBApk2bpq5qlkgkQn19PU6ns+ExRVHw+XzU1tYSDAZRFKXRNsfK5s2bGTJkCFdddZW6CkVRiEQi1NXV4fF4jttraAk//fQTr7zyCosWLaJPnz7ccMMNXHzxxSQlJambNqioqOCkk05q9L1KS0ujZ8+eXHbZZXz00UeN/mai7ZDwEcfEgYO33+9n0KBBXHPNNVxxxRWMHj2aqKgoFi1axF/+8hfGjRvHJ5980uggajKZOP300/nyyy+59tprG+23udxuNxUVFXg8HnVVs6SmpjJz5kymTJmirjrugsEglZWV1NTUqKvQaDQNZ16PPPIIUVFR6iZtxs6dO9m2bRvnnXceU6dO5dFHH2XChAmkp6ermzaIRCJUVlZSW1vLNddc0/C96tOnDytXruTee+/lpZdeoqKiQr2paOUkfMQxFR8fz2WXXcbDDz/Mo48+yrPPPsvbb7/Nxx9/zJ/+9Cdyc3N58cUX+eyzzxq20Wq1JCQkMHz4cDIzMxvtr6WYzWZOOeUUBg0apK464UwmE8OHD6dnz57o9Xp1dZtRW1uL1+slKSmJ5ORkYmJisNvt6HQ6ddODmM1mHn74YR5++GEee+wxpkyZwltvvYXRaOTNN99kz549RCIR9WaiFZPwEceUVqvFbreTkJBAQkICSUlJpKenM2jQIG6//XYmTpzIjh07eP/996mqqgLA7/fz/fffM2rUKN59991G+ysqKuK5555j7NixDB06lBEjRnDZZZcxadIkdu/eDcDf//53/v3vf1NZWcnzzz/PwIEDGThwIOPGjeObb77B7XbzzjvvcNFFFzF9+nQWLlzILbfcwvDhw7nyyispLy9n7969XHLJJdxwww2Nnv/XFixYwE033cTw4cM588wzeeihh8jJySEcDje0yc/P5y9/+Qt33nkn69evb7S92+3m/fff58ILL2TmzJn4fD6+/vprxo8fT0lJCatXr2547UOHDuXtt98GoKSkhFGjRvHwww9TX1/faJ+VlZW8+eabXHnllQwbNozTTz+dO++8k4ULF+J2uxu1/fbbb7nkkkt49NFH2bFjB5MmTeKss85i+PDh3HLLLXz33XeN2jfH4sWLueeeezjjjDMYNmwYl19+OW+88QZFRUUNbVauXMlNN93Es88+y969e3nrrbcYNGgQw4YNY/LkyY3215QDP1AOlNTUVM4//3x69uxJTU0Nu3fvbtRlGwqFWLJkCX/9618599xzGTZsGGeccQYTJkxgxowZlJeXN9q/aHkSPqJF6PV6MjIyOPPMM+nfvz+5ubmsWbMG9net1NXVsWXLlkYHhcrKSm699VbeeOMN6urq6N69O507d8bv9zNr1izy8/NRFIVu3bqRmZmJwWAgKyuLU089lVNPPZX+/fsTHx9POBymoqKC9evX8+GHH/Loo49SXFxM586dSU5OBiAQCLBjxw527drV8Py/9n//9388/vjj1NTU0L17d3w+HzNmzOCBBx5g48aNDd2Ifr+fPXv2sHv37oMO/pFIhIqKCnbs2EFlZSVarZb4+Hj69u2L0WgkOjq64bUPGTKE9PR0FEUhEAiwZcsWCgoKGgVdaWkp//znP3nuuefYs2cPWVlZREdHs2jRIu6//34+/vjjRmFVW1tLTk4O8+bNY/LkySxbtozExERsNhtff/01Tz31FIsWLWpofyTvvPMOf//73/nyyy+x2+107dqVgoICXnrpJZ566ik2b94MgMPhoHfv3mRlZWE0GklPT294j1lZWerdNpvFYsFsNsP+sPl1V+4nn3zCo48+ytdff41er6dHjx4kJSWxc+dOFi9e3CgcxQmiCHEMVFZWKjfffLPSvXt35YMPPlBXN9i9e7dy5513KikpKcrkyZMVRVEUj8ejfPrpp4rValWeeeaZhrazZs1SHA6HcuuttyqrV69WcnNzlV27dilbt25VFi5cqJSXlyuKoigVFRXK3//+dyUpKUl5/PHHlfz8fCU/P18pLi5WXC6XUldXpzz33HOKwWBQ+vTpozz99NPKli1blF27dil5eXlKIBBQcnNzlaysLGXIkCENzx+JRJQnn3xSMZlMSmJiovLqq68qGzduVHbv3q1s3LhR+dOf/qRkZGQo//znP5WCggJFURRlx44dytixY5UxY8Yoy5Yta9iXoihKfX298sILLyhdunRRXn31VSUSiSgul0v58ssvlfT0dGXkyJENr72goECpra1VIpGIkpeXp1itVmX8+PFKdXV1w/6eeuopJS0tTRk/fryyYMECZdeuXcqOHTuUqVOnKoMHD1ZGjhypfPPNNw3tZ82apXTv3l1JSUlRJk6cqKxevVrZuXOnsn79euWJJ55QYmJilFtvvbWh/eFs3bpVOfXUU5VOnTop06ZNU7Zu3ars2rVLWbFihfKHP/xBSU9PV55//nmloqJC8Xq9SmlpqfL4448r6enpyl/+8peG91hVVaXedSOlpaVKZmamEhsbq65Stm/frvTs2VOJjo5Wli5dqgSDQUVRFMXr9SrXX3+90qVLF+Wll15Stm7dquzevbvhvW7YsEGpqKhQ7060MDnzES3KarWSlpZGIBA44kXiqqoqgsEg2dnZ9O7dm65du5KdnU2fPn0YPXo0CQkJACQkJBATE4NOpyM2NpasrCyysrJITU3FZrM17E+j0dC7d29uvPFG+vbtS3Z2Np07d8ZgMPzqWQ9t4MCBXHrppfTr148uXbowYMAAbr/9dpKTk1mwYAH5+fnqTY5Io9Fgs9lISUlBr9djNpsbXntmZiYOh0O9SYPq6moWLFiAVqvlmmuuYfTo0WRnZ9OzZ0+uvPJKRowYwc6dO1m3bt1BgzCys7O5/PLLGTJkCN26dWPAgAGcc845pKSksGHDhmaNOPzqq6/Izc1l7NixjBkzht69e5Odnc3QoUMZP348CQkJLFu2jNzcXMxmM8nJycTFxaHX63E4HA3vMS4uTr3rQ/L7/XzwwQd88MEHvPvuu0yePJm77rqLoqIibrjhBrKzsxuuhx04kz5wxtO7d2+6dOlCt27dGDx4MP3792/284rjR8JHtCitVovBYGgYXn04Q4YMwWazMXPmTF588UXmz59Pfn4+wWAQvV6PRqNRb3JY0dHR9OzZk7S0NHXVEY0ePZr4+Hi02v/9l+nXrx9ZWVnk5eVRUVHRosOgc3NzKSsro2fPnmRnZzd0P7F/0Ee/fv2IioqioKDgoJDPyMhg0KBBDRf6D4R2amoqbre7WUOXf/rpJ7xeL2eeeSYJCQkNfwudTsfQoUPJzMxk165dlJSUqDf9TXw+H8888wzPPPMMkydP5o033mDlypXceOON3H777Y2Ga5tMJnr06IHf7+c///kPr732GsuXL6eiooJIJIJWq230dxQnhvwFRIsKBoM4nU50Oh12u11d3Ujfvn156qmnSExM5NNPP+XRRx/ltttu4+6772bevHlHfcOlzWZrdKA8GllZWQeNNDOZTCQmJhIOh3G5XIRCoUb1x1NlZSWhUIj09HQsFou6mqSkJBwOB06nE5fL1ajOarUSExPT6DGdTofFYiESiRAIBBrVHUpFRQXhcJiMjAxMJlOjupSUFKKioqivrz/outdvZbFYGsLnscceY8KECcTHx/Pzzz9TX1/fKPh1Oh0TJkzg2muvpbKykv/85z888MAD/OlPf+Lxxx9n7dq1Lfq3Eocm4SNaVH19PTt37sRisdC5c2d1dSNWq5Xx48fz9NNP88QTTzBu3DgSExNZvHgxTz/9NIsWLTrowHo4Op0Oo9GofrhZAoHAIc9sAoEAkUgEnU6HRqNpCDZFUQ5qHwqFmnVgb44DZ34Hnl8tGAwSDofR6XQHDWXWarUHPcb+bsDmOrD9oT6XXz/3sTrDMBqNjBs3jnHjxnH11VczceJE/vKXv7Br1y5ef/11SktLG7Xv27cvt99+O08//TT3338/Z5xxBm63m08//ZQ33niDH3/8sVF70fKOzTdDiGbw+/3k5OSwZs0aEhISGDp0qLrJQRwOB6eddhpXXnklt99+Ow8++CDXXnstJSUlLFq0qKFL6cCB/1AH/WNh27ZtB3UT1tXVUVpais1mw+FwNISbwWDA4/Hg9Xobta+vr29yiK9GozlkiDQlIyMDo9HIrl27DhnARUVFVFZWEhcXd9BZzrGQlZWFwWDgl19+Oeia0p49e6ipqSEhIeGw161+K71eT1paGjfccANDhgxh8eLFLFu2rFF3oVarpXPnzpxzzjlcd9113HPPPUyaNImTTjqJxYsXN4y0FCeOhI9oES6Xi6VLl/Luu+/i9Xo566yz6NGjh7pZI4WFhQ1TyhwYlty/f3/69++P1WqlpqamYb41s9mMXq/H4/E064L50frmm2/Iy8tr1F3z/fffk5eXx6BBg0hNTUWj0RAXF0dsbCxFRUUN16fYf4awefNmVq1a9au97qPT6TCZTLjd7mZ3B3Xq1IkePXpQUFDA6tWrG82O8Msvv/DTTz+h0Wjo3r37cbm4ftZZZ2Gz2ZgzZw579+5tCM5AIMB3333Hrl276N+//+8aSn0kycnJTJgwAa1Wy8yZMykuLgbA6/VSUVHREP5ms5n09HSGDBlC586dcbvd1NXVqfYmWpqEjzimPB4PmzdvZsGCBXzzzTfMmzePd955h2effZbJkyezYcMGxo4dy4033njIaxW/9u233/Loo48yZcoUPv30U7744gs++OADPvnkE+rr6+nbty+xsbEApKenExcXx7Jly/j4449ZsGABq1evPqg75vd46aWX+PDDD/n888+ZOnUqr7/+On6/n8suu4wuXboAYLfbGTBgAEajkdmzZ/PWW28xe/Zspk6dyqeffnrIg57VaqVLly4UFRXx9ttv880337Bo0SLy8vLUTRvYbDauu+46EhISeO+995gyZQr//e9/GwZnrFmzhlGjRjF8+PDf3NV4OGeeeSann346P/30Ey+//DIzZ85k7ty5vPrqq3z00UfY7XbOPffc4xo+AOeccw5Dhgxh/fr1rFq1ivr6empqapg2bRrPPvss06ZNY86cOcyZM4epU6eydOlSMjMzj/jDRxx/Ej7imKqurmbevHk888wzPPvss7z88stMnz6dZcuWERcXx8SJE7nrrrvo16+fetODGAwG1q9fz4wZM3j11Vd54YUX+M9//kNxcTFXXXUVF110EfHx8bB/ZNyYMWMoKytjypQpPPvss7z11lts27ZNvdvfZNy4cQB8+umnvPTSS7zxxhu43W4mTJjABRdc0BCCWq2Wc889lyuvvJLKykqmTp3Kq6++yrfffktiYiLDhw9X7RkSExO56qqrSElJ4T//+Q/PPvsszz//PMuXL1c3beS8887jnnvuweFwMGfOHF588UVeffVV1q9fz+jRo7nlllvo3bu3erNjIiUlhT//+c9cdNFFrFu3jtdee40XXniBGTNmEBMTwx133MFZZ511xEElv1dcXBzjx4/HZDIxa9YsCgsL0el01NTUsHjxYqZPn85LL73EK6+8wmeffUZ0dDS33norI0eOVO9KtDDd448//rj6QSF+C71eT9euXRvuhcnOzqZHjx6cfPLJnH322Vx22WWcd955dOrUSb1pQ7fa6NGjG34tJyQkkJ2dTZcuXcjKyqJLly4MGjSI888/nyuvvLLRvR0xMTGkpaXRqVMnMjMzycjIaLjHIzk5Ga1WS2ZmJsOGDWtyIkuTycSwYcMYMmQI/OoCfKdOnbj66qs55ZRTiI2NJTk5mcGDB3PJJZfwhz/8gbS0tEYX1uPi4hru18nKyqJnz56cfvrpXHjhhfTq1YuMjAyGDRtGRkZGw/NmZmaSnp7e8No7d+7MwIEDGwZlGI1GRo0aRZ8+fRruSzKbzfTq1Yvs7GwyMjLIyMigT58+DeE3cODARkOw2f+ZDh06lF69ejV6nP0jyvr168fQoUMPGsF2KJ06dWqYdSI9PZ0uXbowfPhwLr/8cs4999yG2SMOUBSFtLQ0hg0b1nCm2Bx6vZ5hw4YxatQodRXsnxTW4XDQqVMnBg8eTGJiImlpaQ3fnQNdlKeddhqXXXZZwz1N4sTSKMfj6qwQQghxGNLtJoQQosVJ+AghhGhxEj5CCCFanISPEEKIFicDDo7gwHoqB+6gP5opSIQQoq05MEuIoijNGvX4W0n4HIHP52uYQ+xQ82EJIUR7Ew6HcTgcnHHGGcctgCR8jqCyspILL7wQj8dDXFycnPkIIdo1RVGoqqoiNjaWefPmNdzIfaxJ+ByBy+XinHPO4YEHHuDcc889aFp9IYRoT0KhEPPnz+ett97iq6++arQg47Ek4dOE6upqKioqcDqd3HLLLTzzzDOcf/75Ej5CiHYtFAoxd+5cXnvtteMaPjLarQkrVqzg6aef5tFHH6WwsFBdLYQQ4neQ8GnCJZdcwocffshnn31Gz5491dVCCCF+BwkfIYQQLU7CRwghRIuT8BFCCNHiJHyEEEK0OAkfIYQQLU7CRwghRIuT8BFCCNHiJHyEEEK0OAkfcUJFIhHC4XCzSyQSUe9CCNEGSfiIE2bHjh2MGjWavn37NruMGjWaLVu2qnclhGhjZGLRI3C73Zxzzjk8/PDDMrHoMaQoCuvWreOyP1zFnX97Ho3myL+DFCXCWy8/zKyZ7zNs2DBZ3kKI40AmFhXtnqIoaDRaOmf3oXO3ZpTsPmh1OuT3khBtn4SPOMH2nb38epnypsqv2wsh2jYJHyGEEC1OwkcIIUSLk/Bp4xRFIRKJNLscGK7c3CLXV4QQx4OMdjuC1jzaTVEUPvnkExYuXIjf71dXH5JGo0VRmn+vjMMRw6OPTiIpKUld9bsoisJPP/3E5eOu5bmpc9HqdOomB4mEwzzy5yuZ+cE0TjvtNBntJsRxIKPdxBEpisLy5cvJyS/HGNsNU9yhiz4mm4A5i4J6O6tznOTWxbOrLo7d9fHs9SZRo6QTsnbGoNqHMSabWZ/Npra2Vv3Uv5migM8forDMSX5FmLjOp7I9v4aNOytYv6OcDb+Us3FXBdvyqsgrrqO0yo3TEyASkd9IQrQn7f7MJxgMkpuby1dffYXX6yUqKoqzzz6bvn37qpseUms+84lEItx2220E9EmMuey6g+6VCYYi1Dp9lFV7qHX6qalzUl1TQ3RsEiig0YBBr8Vk0GEx67Ga9cTYTcRGmYm2GUGJ8Jcbz2Xl8iX06NHjN59pRCIKTk+AglIneSX1FJU5qa73UVpRR05uATHxKYQjCpGIgkazb+SbTqvBaNBhMugwG3XYLAaiLAY+fP2ffPDWiww79eTf/HqEEE2TM59jJBwO4/P50Ov1pKSk4Pf7mTZtGsFgUN20zdo3FFnbaEhyvTtAblEdW/Oq2VlUR0m1B6/XS8RXS2qclYwkOynxNuxWI4FQhOIKN7sK69iRX8OW3VVszq2ioNyFyZ4IzbgBVC0cUaiu97FxZwXzl+9mxtc7+OS7HOYu2cX3PxawLa8Kl8dL0F1FSryNLqnR9OgUQ3Z6DJ1To0mJt2E1GwgEw5RUedhZWMuOPTUk9z6X5ds9LF1fRFG5k0AorH5qIUQboHv88ccfVz/Ynmg0Gmw2G/379+e0007D4XAwffp0Lr/8ciwWi7r5QYLBIB988AGjR4+mW7duaLVHfyA+XhRF4YsvviCis5PdawAajYZQOEJFjZddRbUUlDlx+0LER5vplGwHTwm7Ny3ivPPGkBxvIyHGQrzDQmyUidhoE1azgWAoQmWdj6o6L/XuACGNBUdCJ3yhfcFmNunR6w7+DBRFwesPUVbtIWdPLT9uL2XVpmJWbS5lzbZScgpqCIUjZKVGM6R3Mqf1TyXR6mXB3A+45JJLSY63kRRnIzHGQkKMhQSHmTiHmbhoC3H7X1tEUYjo7BRXBykod1FY5qKs2kMgFMZq0mMy6ORsSIjfKRKJsGPHDtauXct1112H0WhUNzkmWn23W1lZGT///DN5eXnU1tZy8sknM3ToUBwOR0Ob4uJifvzxR3Jzc9FqtfTq1YuhQ4cSGxvbaF/BYJD169fz6KOPMnv2bKKiohrVH0pb6HYLGpIZc9n1BEMRyqo95BbVUVXnxWoxkJ5oIzXehsNuZOv65cz/bDoPPfcuOtX7iCgKXl+IOpefWpefeneAOpefqhonJpOZtEQ7nVKiSEu0ExdlwmoxYNBpUYBAMEy9O0BNvZ+qOi8lVW5Kq9z4/GFio02kJ9rJSLKTmWQnMyWKtAQ7UVYD69at4w9XXnfEAQeKAl5/kDqXn89mvsOIM85DMcRQVO5Cr9OSlRJFt8wYumfG0C0jhsRYKwb9/wLyaL/iEmCiI2upbrdWHz7r1q3jv//9L0VFRSxdupTLL7+cv/zlL2RlZQFQUVHB//3f/7F48WLMZjPh8L5umHPPPZfx48djMplg/4G6sLCQd999F4PBwMMPP9zoeQ44MHvyAS6XiwsuuIBJkya16vA548JrGrqn6l1+4qItdEmLJjXBhsmoQ4lE2PDjsibD59cURcHtC1FT52XWR9M47+Jx+MImiivdBENhbBYD9l+Fjz8Qps4dwB8MEfJ7cNdV4KopIeKvJc6upVNKFOkJNmwWQ8OBXVEUioqKmPP5N0cMnwMi4TCT/nwlr7z6b5I79SF3bz15e+vIK6nD6Q6SFGuhR6fYfd13GTGkJ9rZmbOVpUuXNms0oEajITExiQkTbpAAEh2WhM9++fn57N69G5vNxqRJk+jbt2+j8FmwYAHTp0+na9eu3HDDDfh8Pj788EN2797NM888Q79+/VAUhfLycmbPns3u3bv5y1/+QmZmpvqpAFi7di2rVq1qOFgFAgHefvtt3njjjVYbPh5NIv2Gj90XPJ59B+FuGTEkxVnRafcf7I8ifA6IhMP85aYx/N+c+RjsyeSV1FNZ48XpCeALhAmHI6ABg16H1awn2mpg1fJFFOTvJjHegbeunFDQq97tPopCXW0VRXt2MXnK3Ga/nl8PtQ6GIhSWOdmeX83OwlryiusprXJjMenonhlLn67xrFnyBV9+/n+kZWQdMVD8Xg8le7ayffv2VtW9KkRLkvA5hKuuuor09PSG8FEUhZdeeonVq1czceJEzjzzTADmz5/PlClTuOKKK7jllluorq7mq6++Yu3atdxyyy0MHDhQvesGX331FfPnz8fr3XfQDIVCLFiwgHfeeadVhs8dd02koNZGer8x1Lr8JMda6dEplsRYS6OD7W8Nn3snnNMw2k0BnO4AtS4/bm+QUCiCRrNvVFq03YjDZuTJxyeRU1DHFdfffdiDvaIo5OZs4u3/N4lnp8xt1ueqDp//nUVBRa2HnD01bM+rZndxHUVlTiIK1FfsxqTxM2r0aGKizBgOcb0KQAEqSov410MTKCoqQteMMzEh2qOWCp9D/09sIwKBAOXl5ZjNZtLS0hoej4+PJy4ujoKCAgKBAD///DPvvPMOer2egoICvvvuO+rq6hrt64AxY8bw8ssvM2XKFKZMmcIrr7xCly5d1M1aBUWB6MQuOCPR1Dj9JMRY6J4Zc1DwHCtajQaH3URWSjR9usQzoHsi/bsl0DMrltR4G2bjvgP2gVF3Gq328OUYTRKq0UBSrJVRg9K5/oJeXHd+L847rTNd0qKJSe6KEtWNbfm1FJS5qPcEUTj4tWm1+0YLCiFaRpsOH7/fj9/vx2g0YjabGx43Go0YDAY8Hg/BYJBgMEhmZiYGg4Hly5ezZs0aXC5Xo30doNfrMZvNWCyWhtJau2DKazxYkgcSndyNGLtp38X2OGuHPohazQb6Zydw9Tk9uOHC3mTHB6iryKOqzsvmXZVsz6/eN0IuKEO0hTiRWudRtZl0Oh06nY5wOEwoFGp4/MCgAYPBgM1m4/zzz+f999/n+eef5/nnn+eRRx4hPT290b7UCgsL+eGHH1iyZEmTZ0knktsbZPnGYvbWaoiNiaFLWjTJcVa0HTh4fs1o0NGjUyyOyB48e9fSOSUKk1FPUbmLjTsryC+px+kJ0HY6nYVoX9p0+FgsFmJiYvB6vVRXVzc87nQ6cbvdJCcnN2p/NHbu3MncuXOZPXs2VVVV6uoTKhSOsOGXcpZvKGZvcRlJ0RpSE2yHvP/mWDhwWVBRlCOWlqB+zsOVcNBPlEmhX3YC/bPjSYy14PWH2JJbxY78ampdPiIt9LqFEP9zfI5Wx1AkEsHj8eByuQiFQgSDQdxuN16vF0VR6NatG5FIhHXr1lFdXU15eTlbtmzB5XLRv39/9e6a7ayzzuKll17i9ddfp2vXrurqE2pvuYvv1hZQUuWmpmgTofpCLKYjX7D/LTQaWLNmDYsXLz5iWbJkCXv27FHv4phbv379Qc/dVMnNzQXAqNeSkWRncPdEuqQ5MOi17Cl1smlXJVW1XkLh5k+2KoT4/Vr9aLfq6mpWrVpFVVUVr7/+OnFxcYwZM4ZevXoxcOBAfD4fU6ZMIS8vj7POOguPx8PKlSvp2bMnkyZNwm63q3d5VFrbTaYeX5BPvs1h0bpCkuOsLJ/7Kr1692HMpdcd9lrPbxntFgoG+evN52GLcmA07rtf6vAUqipKOX3MFVzxx7sPe61MURRyt2/krf/3SLNHu4VDISbdexXhUBCzpXkjcGqqyxl86hlMuPPhhnuJAsEweytc7NhTg8sTJNpmpF92PNpANS8+LKPdRMfWUqPdWn345OTk8OSTT7J9+/ZGj/fr14877riD4cOHs3XrVj755BNWrFiBXq/n7LPP5tprr23yXp7mqK6uprKyEqfTyS233MLTTz99wsMnoiis3lLCzG92UF3v45oxPfn4zacwRKUz5rLrj334BALcd/N5/P3pt0jP7LrvNOgwIuEQn773KgajkSuuv/uwN47+pvAJBpl071XccMdDdO8zGM1hwo39Q7O//u97VJaXcMNdDzcKlHA4QnmNly27q6h1+rGY9GTGBJjxyj0U7MmT8BEdVkuFz+H/97YCPXv25KOPPmL9+vWNygcffMDw4cMB6Nu3L0899RSLFi3i22+/5R//+MfvCh6AFStW8OSTT/LII4+0SFdSc1TVevluzR5Kqz0M65fKgG4JWM1HPmj/XlrN/4YjH760zNxqGq0WrU53iOc/uDT1enQ6LcnxVk7ulURCjAWPP8iWfCex6X0JhqQLTojjrdWHz4lyySWXMGPGDGbPnk2vXr3U1S0uFI7w7doCcovqSIqxMnJQOumJv69LsaPTajTERpk4qWciiQ4LOpOdXqNvZnt+NWFZP0iI40rCp43YvbeO1ZtLcHmDnDcsi+6ZMWj3T50jfjuNRkO0zbjvDMhhwR/W8cbsTeQX17XY6D0hOiIJnzYgFIrw1Yo8yms8DOqRyMDuiURZj8805x2RRqMhymZkUHYMtWW5VNZ6efnj9VTUeuU+ICGOEwmfJoRCIXw+374F2CIn9hrAz7+UszWvmoiicNaQTNKSjs8FwI5Mo9GgBF1sWTiVhBgLRWUuXvjwJ+rdfgkgIY4DCZ8mzJo1i/POO4/TTz+dzZs3q6tbjD8YZv7y3VTVeRk9KINuGTEY9TIS63hQlAiGiJv7rx2M1axnx54aXp+9Ea+v/ax6K0RrIeHThGuvvZZFixaxatUqBgwYoK5uMYt/KiS/xInNbOD0k9JJjLWqm4hjSKfTkp0ewwPXnYxep2HNlhI+XfgLvoDMBSfEsSTh0wSNRtMwd1xTw3WPN7cvyLdr91Dn8nPeaZ3JTI5uWJ9HHD86nYaBPRK5bewAtBoN85blsnhdIX4JICGOGQmfVmzh2kLKqz0kxVkZ2icZh10GGbQUvU7LOad24pJR+26uff/LbWzYWSGzYQtxjEj4tFL17gALfyrA6Qly7imdSI63yYzVLcyg13L1uT0Z2ieZQDDM23M3s6uoTuaBE+IYkPBppRb+WEB5tYf0BBsn907GbjWom4gWYLcYuPnSfnTvFEN1vY/pn2+hqNxFRG5CFeJ3kfBpwhdffMH111/PuHHj2LFjh7r6uKp1+vn+x0I8/hDnDs0iKVbW6TmREmMs3HZZf9ISbOSX1PPRN9sprXbLEGwhfgcJnyaMGDGCRx99lKeffpqsrCx19XETiUT4bu0eKmo8ZCbZGdQ9AbNRSyQSOWSRu/CPP41GQ+c0Bzdd0pe4KBMbd1Yyb2kuFbUedVMhRDNJ+DQhLi6OHj160KtXLywWi7r6uIhEIlxz/c3MWbgZXyDEsvnTGD/uYkaNGsmIESMOKqNGjWL+/Pn7AkhC6LjSaTX0y07gqnN6YDHp+WHDXhb/VEiN06duKoRoBgmfVkRRFHYU+al1hbBbDFxy6R849/I/cdbY2w9ZzrjkVlI79dy3rXpn4jdRFOWgs8sDxaDTMLRfCucN64RWq+HrVfms2VyK0xNQ70YIcQQSPq2I1x8ipedotHojndOi6d6zN70HnEqfgUMPXQacSkxcogTPMXBg2e3a2jouvvhiLrzwwkOWq664jP/3xJ3krFtAaVkF/7coh9Wbi3F5ZRYEIY6GhE8rEVEU1m4txeJIxWYxkpEYhUG/bz2apgoaDTIM4dhRFAW9wUjPIefT+5SLmiwjzr6CMWeOpFNaHJX1PuYt282aLSW4PBJAQjSXhE8TfvjhBx577DEefPDBFllMLhAI8/WqPUTQ0inJjs1iOGEzK3RYCugNRk4+7WyGjDjnsKVPn77075aCxl/F7oIy5i3NZfWWEumCE6KZJHyakJ6ezrBhwxg5ciRRUVHq6mMqHFHYtKuS3Xvr8LlryUyyodNJ8JwoGg4+yzyoaPctRFe2YxFWpZqKWi/zluWy6KdCKuu86l0KIVQkfJrQtWtXLrjgAi6++GLi4uLU1cdUMBRmwZo9BEIRynLXYjFp5L6etkCjob5iN8P7RDO0bwrV9T6+WpHHVyvyKCxzyjB4IQ5DwucEC0cU9pQ42ZpbhdGgpXDrIpRwSN1MtFKKopCd7uCSUV05e0gmwVCERT8V8t8lu9i4sxKfX/6WQhyKhM8JFgxF+GFDER5/kN6d43BX70FRZO6wtkWhc2oU5w3L4vzTsrBZDKzeUsJnC3/hu7UFFFe4CIf33RAsZ0NC7CPhcwJFFIWqOi+rNpei02o499ROaCR42g5FATTMnDmTxx57jKn/fp6lX0wjZ9Wn5G9fw/qt+Xz+Qy4zvtrElA+/5oVXpvD1199IAAkh4XNiBYIR1u8op7LWS0aSnYHdE9DIej1txr4QUcgvrmXzznI276qgqKyeaKuenp1i6JwShdcXYtnPxXy2cCcff72ZBSt2UFrllolJRYcn4XOCKAo4PQGWrC9Cp9MwenAGdotR7ttpSxQFFBh+5sWMm3AvV+0vV1x3F+ecex4n9etM7y5xdMmIJ6NzD9L6nEWNtjNzluSy8KcCdhbWyNBs0WFJ+BxnB/r51SUQDJFbVMvuvXXE2E0M758qk+S0URqNFq1Gg0arbSharRabxUhWajT9suPpmRVLrFWhpLScJesL+eibHXz6/U7mL9/Nio172b23Frc3cND3RLroRHsl4dOEXbt28cUXXzBnzhyqqqrU1c2Sl5fPBx98wNtvv31Qmf7eh3y1bBuhUJC6ku3MnzOTadOmEQqFJITaEa1GQ5TVSNc0B/ZIGXnr5rF3+w/s3LaeJau3Muu7HN6bv43PFu7kix9ymff9z8yc/RXT33mPt99+m48//oRIRK4DivZHwqcJZWVlbNiwgfXr1+N2u9XVR6QoCj/99COPPfEMH3zyBR/Mmt9Q3v9kPu/P+oZVmwrRoBBwlvLhp1/y4az5+0dFqfcm2jqNBvzuKpylWzD4Ckg0u0iL1ZAcayYQCvPj9jJmfL2NV2eu4oVpC3jm9c94YeosHpz0FIGgDNcW7Y+ETxNGjBjBpEmTeOqpp+jUqZO6uln8fj+JqVncfv9k7nzguYZy633Pct6Vf8ZijyPOYWfc1ddxxwPPcdt9T6PX6/d1tUgCtS/7/6Y9+gzm5okPceXV13Hu6FM5tW8a/brG0y3dQXqyg4xO2XQddC4DzrmdUy++D0en01i7tZTCMifBkJwBifZDwuc42zcVy/+uBWi0WoIhhb2VbvQ6DelJdgwGPVqtFo1G/hzt3/++D1qdFovZQHpSFP27JTC0Twp9s+PpkuYgwWEhomjoNPACps7ZwmcLf2HlpmL2lNQTCIYPui4k14hEWyNHuxYWjijUuwNU1fkwGnRkJNnVTUQHpNFoMJv0dEqO4qSeiZzaN4XuGVGU7lpLScEuvlu1k3/P+pmZC3aw/Oc9LF25nu+++54FCxY0KosWLaa0tFS9eyFaHQmfFhYIhimpdAEQF20i2mZUNxEdnGb/IIXMBDMbF7xKqGoT0QYfZqOWtdtKef79ldzz6NvcfM8k7r7vYf7yt0nc9/dJ3Pe3SUy48RYWL14sZ0Ci1ZPwaUGKAj5/iOIqNwa9lk7J0bJsgmiaoqAoYW6+9U4uPucUTu6dTFqinbi4OLqedCFnXP0Yf/zra9z3xDT+Ofk9HnruXTK69sLrlVm1Resn4dOCQuEINU4/bm8Qs0lPSrxV3USIRjSARqNDp9OREm/ntH6pDOyWQGKMBW8gxIadVeQU1FDvCbJvsh/5MSPaBgmfFuQPhimt9qDXaUmKtWI06NRNhDgsrVZDp5RohvVLoXNqNCajjtyiejburKC8xks4osjZtGgTJHxaiKIoeH0hyqs9GPVa0hLkrEf8dlazgcE9kxjQLZ6YKBPlNV427qzCFTKjNZjlmo9o9SR8muD1eqmqqqKyspJgMKiuPmrBsEKty48vEMJs0pMYK+Ejfh+tRkPnVAeDeyaRGGPB6Q2Q1v8i9LE98PhCMk+GaNUkfJrwxRdfcP311zNu3DhycnLU1UfNHwhRVu3GoNeRFGtBr5OPXhwbSbEWTumdTHqCnShHEt+vq2T5xmJ8PpkZQbRecgRswlVXXcXXX3/NkiVL6Nevn7r66BzocqvxYjJoSY2Xe3vEsRVlMzKoezwOc5Cyylo+/f4Xlv5chC8QVjcVolWQ8GkBgVCEGqePQDCMxaQnIcasbiLE72Y1G9jz81zcZVupcwf4bOFOfthQRCgs0/KI1kfCpwV4/SHKqr2YDDqS4qzopMtNHCc+ZxUXnJLEsH4p1Dh9zP8hjzVbigmHw4csMjBBnChyFDzeFAWfP0RlrRejQUdynE3dQohjIrI/SB5/5G889/fxFO5YSV5xLY+88BHd+o8kNja2UUlNTeOOO+6UABInhITPcRYIRahzBwiGIlhMeuKipctNHCf7Jxa9csK9PP3y+4y7/BKSYq1YE7txxpUP8s+X5/L8W1/tK29+yWXX3U1x8V4JH3FCSPgcZ75AmOo6PwaDlniHGb1ObgAUx5fZaifKEUt6cizdMmNJiLFT59VS5dFhtsXgiE0gOjYBi8UuwSNOGAmf48zrD1Ht9GEy6EhwWNTVQhxzB37eaLUaUhNtdE6NxmjQUVTuIq+knkhkX+DIRAjiRJLwOY50BhMagx23L4TJqCNeRrmJFmbQaclMjiIz2U4gGKGw1Enx/lnVhTiRJHyOI5M1lqiELHRaDTF2EyaDXt1EiOPOYtKTlRpNaryNGqef/BIntU6/upkQLUrC5zgy2+NwJGdjNuqJd5ilm0OcEBoNOOwmslKjiY0yU17tIb+kTpblFieUhM9xEgpHwBCFPb7Tvi43h3S5iRNHp9WQFGshM9mORgMlVR72VrjVzYRoMRI+x0mdy09ZjR+z2UqU1YDNIiuWihPLaNCRlmgnI9GO2xOkzm8iOrGLupkQLULC5ziprPORV1yP2agjNsqETit9buLEs1sMZCRHERttxuRII6nbCNy+3z9ruxBHS8LnOLGa9Fj1PkKuEuLlxlLRSmi1GuIdZrJSo4iOjsFNLKu3lKqbCXHcSfg0YeXKlTzzzDM89thjFBQUqKuPKDHWSpKphsrcFUTbpMtNtB5Gg46UOCvpiTYqa7388PNecotq1c2EOK4kfJqQmJhI37596d+/Pzbb0c/HZjbqMOLFU7sXvV4+ZtG6WM0GbDo3ZQXb2FVUx/c/FuDxSvebaDlyVGxC9+7dGTt2LOPGjSM+Pl5dLUSbptVq8NWVUpO/FoNey/od5azaUqJuJsRxI+EjRAcVCrix6+oZ1jeF6nofi9cVkl9Sr24mxHEh4SNEh6UQ7zAzclAqXdKiyS2q49s1e/D4ZfltcfxJ+AjRgel1WrJSHZx9Sif0Oi1rtpby0zYZ/SaOPwkfITo4m9nAoB5JDO2XQp3Tz4LVeygqd6qbCXFMSfgI0cFpNBDvMHPWkEwyku3sKqplwao9eKX7TRxHEj5CiH3dbynRnD+sMwadlmUb9rJ2a6ksNieOGwkfIQQANouBU/skM6x/Ki5vgDlLdpFXLKPfxPEh4SOEaOCIMnPxiC5kpzsoKHMyZ8ku6lyy9o849iR8hBANdFoNaYl2/nBmd6JtRlZuLmbJ+kL8gbC6qRC/i4SPEKIRo0HHgG6JjBmahV6nZdZ3O1m3o0wWnxPHlISPEOIgFpOei0Z0YUivJHyBENM/38ovBTWEwxJA4tiQ8BFCHESjgWibkQkX96VHp1gqar28M38re0qdEkDimJDwEUIckkajISHGwm1j+5OWaGNnQQ3vzd9KQalz3zLxQvwOEj5CiCZpNRq6pEVzx+X9SY6zsXFnJdM+38Ke0noJIPG7SPgIIQ5Lo9EwqEcSd40bSEq8lS27q5g2bwu7imoJBMPIbajit5DwEUI0y+Aeidx95UBS421sz6vm1U9+5udfyvF4gzITgjhqEj5CiGbrlGhkwvlZxNmhqKyOV2au57s1+ZSU11JdXUNVVVWjUlNTg98vN6mKg3WI8FEUhUAggN/vJxiUpYKF+C0ikQjDhp3Gmaf1Z/art1O5ZwMut4dpn2/hwgmP07nHIFJS00lN+1/Jzu7Gu+++K2dG4iAdIny2bt3KBRdcQPfu3fnb3/6mrhZCNIOiKJSWlvDCW18yZcb33HHjlfTNTsZsNJDZ9ywunfgfnn57GW/N/ol35qxj+n9/5OQRY3C5XOpdCdExwic9PZ1//OMfPPbYY+oqIcRR0mp1aHU6DEYDA7onMrRfCjFRJurdAdZuLyOnsBZfUEGr1aFBQyQSIRwON6tEIjKCrqPoEOETExPDKaecQnR0tLpKCPE7aDQa0hJsjByQRlZKFIoC2/Kq+Wl7GeXVbiIKPPbYY8THxxMXF3fYkpKSwjXXXCsB1EG0+vDZunUr//znPxk5ciSdOnVi0qRJFBYWNmqzYcMG7rnnHvr06cOAAQN46KGHyMvLa6jXaDTodLpG2wghjg2NRoPdauSkXsn0y47HatJTUuVm/S+VlNeHufDK23hmyjwmT53fZHl26hdcd/sjFBYWqHcv2qlWHz5utxuHw8FVV11FcnIyLper0S+jHTt2MHXqVAoKCnjooYeYOHEiGzdu5IUXXsDpPPqlgAOBAC6Xq6E4nU7CYZnRV7RPiqIc1PV1uNIUjQZMBh3dMmI4pU8yiTEWnJ4giT3OJr3XGdii4omJT2y6xCViszvkrKcDafXhM2DAAG6//XZuvPFGMjMz1dWsXr2aiooKrrjiCi6//HKuvfZaxo4dyy+//MLy5cvVzY/ovffeY+TIkQwaNIhBgwYxfPhwNm/erG4mRNumKCgKLF26jD59+tCrV68jlr59+1JfX79/5NqhR6/pdVoSY60M7plERpKdqNgkSl168kqcBIJNhxcAGvUDoj1r9eFjNpuJjY0lOjoavV7fqC4cDpOXl4fBYKBfv37YbDaioqLo3r07sbGxbN26tVH75rj44ot5++23mTFjBjNmzGDatGlkZ2ermwnRpin7z3oyOvfkxnuf4+b7XjhimXDPsxhNFpT9wdUUnVaDw26kT+dY4ixhnPVOdhbWkl9SL8syiAatPnwOx+v1Ul9fj8ViITY2tuFxm82G1WqlsrISgJ07d3LPPfcwefJk5s2bx/XXX8/27dt/taf/SU1N5aSTTuKUU07hlFNOYciQIdjtdnUzIdoBBYvVRqcuPenUtRmlS0+02uYdMrQaDXaLgcrc5dQUbSQQDLOrqJaCsnoikcMkl+gwmvdNaqUikQiRSAStVtvoP8WBfx/oo05LS+Ovf/0rU6ZMYebMmTzwwAOH7MLjV4MTfl00GukPEO2bRqM5YjlaGg346stJsPhJS7Di8YXI21tPcaW7iU470ZG06fAxm82YzWZ8Ph9er7fhcb/fTyAQaDhjsdlsDBw4kGHDhnHaaacxaNCgI57NfP/999x7773ccccd5ObmqquFEM2gKBHsFj3ZGTEkx1qpcfrZU1JPTb1P3VR0MG06fAwGAykpKfj9/obh14qiUFlZSVVVFZ07d1Zv0my9e/fm6quv5vrrrycxMVFdLYRoJq1WQ2yUiS7pDmKiTJRVe9hTUo8vEFI3FR1Iqw+fQCBAcXEx+fn5uN1u6uvrKSwspLi4GJ/Px+DBg9Hr9XzxxRf8/PPPrFq1ii+//BKr1cppp52m3l2zpaenM3z4cEaOHCk3pwrxO+l0WpJiLXRKjkKv11Jc4aao3HXYgQuifWv14VNYWMjzzz/PXXfdxfr161m0aBGTJk3ihRdeYNu2bQwaNIiLL76YiooKHnvsMSZPnozf7+f666//XWc+Qohjy2jQkZ5oIz3RhjcQoqjcRVXd/7rLRcfS6sMnJiaGs88+m3HjxvHMM88wadIk/vjHP3LWWWeRnJxMTEwMF1xwAXfeeSfjx4/nuuuu44477uCcc87BaDSqd9dsq1atYvLkyTzxxBMHzagghPhtbBYDGUlRxEWbqa7zUVDWjPt/RLvU6sMnPj6eSy+9lJtvvrlRueSSS8jIyAAgISGB0aNHc+211zJ+/HiGDRv2u7vK4uPj6d27N3379sVisairhRC/gUaz7/pPZrIdnU5DWZWH0iqPupnoAFp9+JwoPXr0YOzYsYwbN46EhAR1tRDiNzIadCTHWkmJs+HyBikqd+LxyTpbHY2EjxCixdmsRtISbdjMeqrqfBRXuJuasUe0UxI+QogWp9NqiHeYSUu04wuEKK5045aznw5FwqcJW7duZcaMGbz33nuUl5erq4UQv5PFpCc5zorNYqDO5aekUq79dCQSPk3w+XxUV1dTVVVFMCi/yIQ41jQaDQ67iYxEO/5ghEpnGEuU3NDdUUj4NOHkk0/mz3/+M/fffz/p6enqaiHEMWAx6faf/ejRmBwkZ5+yf8kG0d5J+AghThiNRkO03URGkh2LLYaYjIFU1sm8bx2BhI8Q4oQyG3Ukx9mIjrLgi5hZv0OusXYEEj5CiBNKo9EQZTWQnmCj3uXnx21lMvKtA5DwacLevXtZuXIly5cvp76+Xl0thDiGzEYdsXYdzroq9pQ62ZZXpW4i2hkJnyZs376dWbNmMWPGDCoqKtTVQohjSKPREPHXU5G/HqcnwPINxbLkdjt31OGzZ88eSkpKiEQafzEikQhlZWXs3r270eNt1TnnnMOrr77Kf/7zH7Kzs9XVQohjzO+ppXLPzwBsy6umsMypbiLakaMOnylTpvDZZ5/h9/sbPR4MBpk/fz6vvPJKo8eFEKI5wqEAulAdPTvF4vQEWPpzkQy7bseaHT5er5f6+noqKyuprKykvr6+UamsrKSsrAyPR+5SFkL8Ng67iREDUgkEw/y4rYxaZ+MfuaL9aHb4rFixgo8//phdu3axadMmPv30Uz7++GM+/vhjZs6cybRp01i3bh2dOnVSbyqEEM1iNevp1TmWlDgrtc59I99E+9Ts8Jk3bx6TJ09m06ZN/PDDD7z44otMnjyZyZMn869//Ys5c+bQqVMnxo0bp95UCCGazWE3Max/Kr5AiBWbigmHZeBBe9Ts8HnttdfIz8/nb3/7G//617/YsWMH+fn55Ofns3v3bjZs2MArr7xC37591Zu2ST6fj5qaGqqrqwmFQupqIcRxYrMYGNI7GY1GQ25RLQWlMvCgPWp2+Bzw0EMPcdNNN6HT6fD5fHi93kYlEAioN2mT5s2bx/jx4xk7dizbt29XVwshjhO9TktynJX+2fH4g2GWbtirbiLagaMOn0gkwo4dO5g2bRp///vfmThxInfddVdDee+999SbtElXX301CxYsYNmyZfTv319dLYQ4jmxmAyMGphEIRli5sZhAUHof2pujDp+vvvqKW2+9leeff55t27ZRU1NDbW1tQ3G73epNhBDiqJiMevpnJxBtN1Lj8vPjdpnvrb056vBZvnw5/fr1Y+7cuXz11VfMmjWLTz/9tKHcc8896k2EEOKoaDRgtxgZOTCNUCjM4p8K1U1EG3fU4RMMBsnMzCQrKwuj0YjRaMRgMDQUvV6v3kQIIY6a2aRjxMA0QmGFzbmVVMlSC+3KUYfPqaeeSjAYZNeuXeoqIYQ4ZvQ6LRmJUXTLjCEQjLBqUzERmfGg3Tjq8NFoNCxfvpz777+fiRMn8sQTT/DUU081lDlz5qg3EUKI38Rs0nFav1QiEYWlPxcRiUj4tBdHHT6lpaUNk4rm5OSwatUqVqxYwYoVK1i5ciU7d+5UbyKEEL+JUa/j1D7JaLQadhfXs7fcJfO9tRNHHT7XXHMN77zzDu+//z5vvfUWU6ZMaShvvPEGN954o3qTNunLL79kwoQJXH311eTk5KirhRAtQKvVkBhrpW/XOIKhMCs3FxMOS/i0B0cdPomJiXTt2rXJkpSUpN6kTRo2bBgPPvggkyZNIjMzU10thGghRoOO4f3TUBRYvrGYgEy30y4cdfjMmjWLe++9t8ny4Ycfqjdpk+Lj4+nduzf9+vXDarWqq4UQLUSv0zCkVzJWs57iCje5hbWE5dpPm3fU4RMIBHC73Q3F5XJRUFDA0qVLWbNmDT6fDIcUQhw7Go2G2GgTA7olEI5EWL2lRFY5bQeOOnzOPvts7rvvvkblkUce4a677mLAgAFyliCEOOb0Oi0jB6aj0WhYu60Mn1+m22nrjjp80tLS6Nu3b0Pp168fJ598MhdeeCFdu3Zl27Zt6k2EEOJ30Wg1DOiWQLTVSEWth9y9tYTk2k+bdtTh05RIJEJdXR01NTXqKiGE+F00+9f56ZcdDwqs215OIBhWNxNtyFGHz5IlS3jjjTcalZdffrlhobk+ffqoNxFCiN9No9EwvH8qOp2W9TvKcPuCyC0/bddRh09ubi4rV65sVNavX08wGOS8887jwgsvVG8ihBC/m0YD/bolEG0zUlbjJb+4Xrre2rCjDp/TTjuNG264oaFMmDCBm2++mbvvvpvrrruOrl27qjcRQohmi0QiTRaHzUjvzrEArN9RjtcfVG8u2oijDp8+ffpw3nnncdppp9GlSxeSkpLIyMigS5cuxMfHq5u3WRs2bODNN9/k9ddfp6SkRF0thDjWFIXCwiIeeeQRHn744SbLj4tnEwr5+XFbMf9+/U0qKirUexJtwFGHTyAQYOXKlfz73//mueee48UXX+S5557j1Vdf5YcffsDv96s3aZM0Gg06nQ69Xo9Go1FXCyGOJUVBURR8/hA78mvYsae2yaLVajHqdZRWeXh35lyqqmvVexNtwFGHz4YNG5gxYwbr168nNjaW7t27ExcXx6ZNm/jwww9Zv369epM2aeDAgdx6663ccccdpKSkqKuFEMeaArEJyfzh+omM++M9TZZLrvgjqYkO9Ho9lvhsNDqjTDbaBh11+CxatIi6ujpuuukmnnzySR577DGeeOIJbr31Vnw+HwsWLFBvIoQQzabRaNFomy5arZa0RDs6nZaEzAFo9Gb1LkQbcNThU1JSQlZWFqeccgo2mw0Am83GSSedRPfu3dm7d696EyGEOKaSYi0YDVrscenUOMMy3U4bdNTh43A4qKqqorCwkGBw30iTYDDI3r17KS8vx+FwqDcRQohjymLSE2M3otfr2ZZfjccn0+20NUcdPkOHDqW+vp7333+fzz77jC+++ILZs2fzwQcfUF5ezsiRI9WbCCHEMaXRaEiJs6LXadmcW4XLG1A3Ea3cUYfP6aefzqWXXkpFRQXTp0/ntddeY9q0aRQVFXHRRRdxzjnnqDcRQohjLinWioYQ+SV1lNd4CUnXW5vS7PBxuVxs3ryZuro6rr76al5++WUmTZrE3XffzUMPPcT999/PSSedJMOShRAtwm414K0vx+fzk7OnBrdPbjhtS5odPuvXr+f1119nzZo1hMNh0tPTOeOMM7j00ksZPXo0RUVFTJ06lY0bN6o3FUKIY04DVBZsJBzwsjm3knq3dL21Jc0On2XLlpGUlETfvn0xGAyN6gwGA/379yc+Pp5ly5Y1qhNCiOOlqnALkZCf3KJaqup8ssJpG9Ls8Nm7dy8JCQkkJyerqwBITk4mNjaWoqIidZUQQhwXrqoCoiwaAsEIu4pqcXul662taHb4eL1efD4fkcihL+pFIhF8Ph9er1ddJYQQx4USidC3Syw2s57t+dXS9daGNDt8kpKSKC8vp7y8XF2FoiiUlJRQXl5OYmKiuloIIY6bPl3jsFoM7Cyooc7ll6l22ohmh89JJ53Etm3bWLx4MRUVFbjdbrxeL263m4qKChYvXkxOTg4nnXSSelMhhDhuumXE4LAZqXMHKCp34vXLDadtQbPD58ILL6RPnz68/PLL3H333bzzzjvMnj2b6dOnM3HiRF599VX69u3L+eefr960TfL7/dTV1VFbW0soJF9mIVors1FP98wYrCY9OXtqqHNJ11tb0OzwiY6O5uGHH+aOO+5g27ZtPPTQQ9x55508/PDD7NixgzvvvJMHH3yQ6Oho9aZt0ty5c7nyyiu55JJL2L59u7paCNGK9O4Sh91qIGd/15to/ZodPgBxcXHcf//9rF27lp9//pnFixfz888/s3btWv7617+2q8Xkrr76ar799lt++OEH+vfvr64WQrQivTvHY7cYKSp3UV7jlYlG24CjCp8DLBYL3bp145RTTqFbt25YLBZ1EyGEaDHxDjOZyXaMei27imqplbOfVu83hY8QQrQ2vTrHEWUzsrOwhtp6n7patDISPkKIdqFXVhzRViO5e+uoqvcRkSHXrZqEjxCiXchMjiI+xkIoFKGgzInTI6PeWjMJHyFEu2DQa8lOd2C3GMgvrqO2Xq77tGYSPkKIdqN7ZgzRNiN5xfXUOCV8WjMJHyFEu9E1PYYom4nSKg/lNR4CMuS61ZLwEUK0GzFRJtITbBj0WgrLnNQ5ZdRbayXhI4RoN3RaDV3Soom2GckvqadKhly3WhI+Qoh2pWtGDDFRJvaUOKmq9SEjrlsnCR8hRLvSKTmKuGgzLm+A0io3Hp8sMNcaSfgIIdoVq9lARpIdi0lPYbmTaul6a5UkfIQQ7YpGA13SHMRGmSkodVJZJ6srt0YSPkKIdqdLajSxUSaKK1xU1ngJR+TCT2sj4SOEaHeS4qwkxFgIhiKUVrlxyVQ7rY6EjxCi3TEadKQl2oiyGSmudFNVJ9d9WhsJHyFEu5SZHEVMlJm9FW657tMKSfgIIdqlzOQoYqNMlFd7qKyV6z6tTbsPH4/Hw7p165g+fTozZ87kl19+UTcRQrRDiTEWEhwWAqEwZdUeWWKhlWnX4aMoCgUFBXz66afk5uayZcsWZs6cid8vs90K0d4ZDTpSE2xE24yUVLqprJWut9akXYeP3+8nNzeX6upqHnzwQa6//np27tzJ7t271U2FEO1QepKduGgzpVVuKmokfFqTVh0+1dXVrF69mrlz5zJjxgzWrVuH2+1u1KaiooIffviBWbNm8dlnn/Hjjz/idDoBcDqdVFZWkpWVRXR0NDExMXTv3p3Nmzc32ocQon3K2B8+5dVeKmo9ct2nFWnV4bN7925mz57N+++/zwMPPMCsWbOorq5uqK+treWrr77ijTfe4MMPP+S9995j6tSpLF26lGAwSDAYxO/3ExUVBYBer8dms1FXV/erZ2ksEok0bHugRCKyJogQrZWiKE2WBIeZeIcZfyhMebWn1d3vo369x6O0Vq06fOx2OyNGjODPf/4z3bt3V1fz008/8cUXX5CSksJTTz3FP/7xDwBmzJhBQUEBWq0WnU5HILDvCxeJRAgEAphMJtWe/icnJ4e5c+cye/ZsZs+ezZw5cxoFnhCiFdHAwoULmTt3LnPmzDmofDn/c4rytkHIS87uYnbmlaj3cMLs3p3H/PlfHvSaD1uaeJ9Nla+++orS0lL1U7cKrTp8evXqxeWXX86ZZ55JbGxsozpFUVi3bh1arZZLL72UwYMHM2rUKC644ALq6upYs2YNNpsNh8NBSUkJfr8fj8dDcXExXbp0abSvX9u0aRMzZszgnXfe4Z133uHDDz+koqJC3UwIcYLt65HQMHXahzzx7Ms88ewrhyzLlizC76ln/eZdbNy2u1WcDSiKwpdfzufue//K44d57f8rL/PI488xfvw1PP7MS4eoP7g8/szL3H7HRNauXdsq3rNaqw6fwwkGg5SUlGC1WsnIyABAo9GQnJxMbGwse/bswW6306lTJ+rq6li8eDFr167F7XYzePBg9e4a/OEPf+Djjz9m7ty5zJ07l08++YQePXqomwkhWgMlwo13PcLfnnyTvz116HLtjRPJ6twFgyUGrSmaSCu57uP1eunZdwh/e+I/B73mg8qTb3L7X5/FaDRx/+NTDq4/VHlyKgmpnVrt6N42Gz5erxefz4fZbMZisTQ8bjKZMBgMuFwuNBoN3bt359xzz+Wdd95h8eLF/PGPf8Rutzfa168ZDAasVis2m62h6HQ6dTMhRCuh0WjRaLVomyg2qxGrSY/RYieEsXWt76PRHPR6D1U0Wi0azb7DtUZzcP2hikarQ4NG/YytRpsNnwMfcCQSIRwONzweiURQFKUhMGJjYxk/fjyffvopb775Jmefffav9tK06upqfvnlF3bs2IHXK0M0hWir9DotVrMBo0FHVZ2PSpnnrVVos+FjtVqJjo7G4/E0Gr3mcrnw+XzEx8c3an+0VqxYwZNPPskjjzzCnj171NVCiDbEZtFjNemprPNRITebtgqtOnwURSEYDBIIBBrOcA4Mf9ZoNHTt2hWv18v27dvxer04nU527dpFfX09vXr1Uu/uqFxyySXMmDGD2bNn/+59CSFOLJtZj8Wko7LWKzebthKtOnycTic//fQTS5YsoaqqisLCQlatWsXPP/9MTU0NI0aMIDo6mtmzZzNv3jw++ugjPv/8c3r06MFpp52m3p0QooOymg2YjXpqnD4qa72EwnLv3onWqsMnLy+PBx98kGuvvZadO3eyaNEi7r33Xh577DG2bNlC3759mThxIvHx8UyaNIk33niDk08+mb/+9a9ER0erd3dU/H4/dXV11NbWEgqF1NVCiDbEZNShJUDA76Oqbl8RJ1arDp+BAweydOlSKisrG5Wvv/6a008/HYAhQ4bw5ptvsnPnTjZv3szTTz9N586d1bs6anPmzOGKK67goosuYvv27epqIUQbogF8zkp8riqq6r2U13jUTUQLa9XhcyKNHz+e77//nhUrVtC/f391tRCijfHWV+JzVlFd56O8WsLnRJPwEUJ0CF5nBV5XJVV1PsqqPa3yrv+ORMJHCNEh+JyVBNw1+ANhqup8uLyt6GbTDkjCRwjRIUQiYRxWHTFRJqrr9539iBNHwqcJ//3vf7n88ss5//zz2bZtm7paCNHmKMQ7zCTEmKmR8DnhJHyaMGbMGN544w2mT59Odna2uloI0QbFO8wkOCzUuvxUyIi3E0rCpwl2u520tDTS09MPu/6PEKLtiI02E+cwU+8OUFHrbXMrmypAOBzB7QvidAfwB0JtduCEhI8QosOIshqJizahAWqdfmqdrXO5gV9TFPAHw1S4oNfpf2LRz8UsXVfEsg17WfhTEUvWFbF5VwU19b5Ws1xEc0j4CCE6DJ1WQ1yUmZhoM3WuABW1rbvrLRgKU1hWz8pNJeTs9ZDU9RRqnQFc3iBef4g6l5/yGi87i+pYtaWUjbsqcLoDbeJsSMJHCNGhxEabSXCYqXf7Ka9unZOMKoDbF2RrXjWbdlVSWeslGPBR9ssPDOubxJknZ3D6SRmccVIGA3skEBdlwuUJkLe3np+2l1FW7SHcyuevk/BpwqJFi7j//vu5++672b17t7paCNFGxUaZSIixUOcKtMppdhTA5QmwNbeKvL11+AJhOqdG0z/LTsGmr0lLsJEYayUxxkJKvJUuaQ4G9UhicM8kLOZ9y0Zs3FlBSZWbYCsOIAmfJnTv3p2xY8cybty43702kBCi9YiJNpMQY8HpCVBR07oGHRwInpw9NRSWu9BqNPTrGk/vznHERxvwOSvRaf+3OqlGo8Fk2HfvUlZqNIN7JJIQY6HeHWR7fg1+xYLO0DoHTEn4NCEzM5NRo0Zxxhln4HA41NVCiDbKbjEQF21Go9FQ6/K1qkEHPn+IgtJ6Csuc6HVaeneJo0uaA7vVcMQlsY16LUlxVvplx5MYa8HpCZKQPQpbbEarvAYk4SOE6FB0Wg2xUSZio0zUuwOtZpLRYChCWbWH3Xvr0Wg0ZKc7yEqJxmTUqZs2SavRkOAw07tzHAkxZoKeKsJBL2gOH1wngoSPEKLDiYkykRhjwekOUFbtVle3OEWBOpef3XvrCATDpCbY6JJ2dMFzgEajITHGQp/OcQQqt+N1Vh7hnOnEkPARQnQ4MXYzibEW6t0BSlvBmY/HH6So3EV1vQ9HlInsdAc2i0HdrNm02n1nQDrFRyQUUFe3ChI+QogOZ9+ZjxWXN0hFjeeELqsdjihU1fooKndiNOjolBxFnMOsbnb0WmFX269J+DRh48aNTJs2jalTp1JaWqquFkK0YTaznniHGa1WQ43TT53rxA06cHuDlFS58AbCJMRYyEiKQtvKg+NYkPBpgqIoRCIRIpFIqxwpIoT47XQ6LTH7Bx24PMETNsN1OKJQWeeltMqD3WwgI8mO1axXN2uXJHyaMGjQIG677TYmTpxIamqquloI0cZF24wkxlhxe4MnbMSb2xukvMZLMBQhPsZMcpxV3aTdkvARQnRIUTYjCTFmXPsDoKVptHqcPoWKWi92q4G0BBsmw9GPbmurJHyEEB1StNVIvMOC27dv0EFLd6+b7XHoLAn4AxFio8wkxnScsx4kfIQQHZXNYiDeYSYUjlDj9OPxhdRNjpuIohCV0JnYtN5YzXqSYi2/6Z6etkzCRwjRIRkNOhx2EzazAbc3SEVty3W9ub1BwoYYouIz9g37ju1YZz1I+AghOrIoq5HEWAtuX6hFR7wVlbkoKPNgtewbcfd7bihtqyR8mlBSUsLatWtZvXo1TqdTXS2EaAfsVgOJMRY8vpYb8RYKR8grqSevuJ4oq5EEh7lVTn9zvEn4NGHLli188MEHTJ8+nbKyMnW1EKIdiLIYSYzZN+igpc58aup95BXXUVlTj1kXIsbeOpc8ON4kfJpw7rnn8vrrr/P222/TrVs3dbUQoh2wWw0kxFrx+UMtNs3OnlIne0rr8dSV460rxqDvmIfhjvmuhRACsJj0DWv7OD3B4z7NTigcIb+knr3lLjw1xdSX56mbdBgSPkKIDkur1RBlNRLvMOPxBymtOr5db1V1PgrLnPiDEcK+Klw1e9VNOgwJHyFEh2a3GEiKteL1hSitOr5r++QV11FY5iQ13kpavJlIOKhu0mFI+AghOjSbZd9Nnh5/6Liu7RNRFArLnJRUuklPtNMpJUrdpEOR8BFCdGg2i5HEWCtef4iy43jmU+v0s7fChS8QIi3BRmq8Td2kQ5HwEUJ0aDaLnsRYC4FgmMpaL/5AWN3kmCgorae0ykNSrJX0JDvGDjSJ6KFI+AghOjSjXkdMlBmr2YAvEKas+vic/eSXOCmtdJORZCcjya6u7nAkfIQQHZ7VpN836MAfPi4j3nz+EEXlTqqdPtITo0hP7NjXe5DwadqsWbMYM2YMo0aNYvPmzepqIUQ7YjXrSYqz4A+EKKs59uFTVO6istaLw2YiNcGKzdIxVis9HAmfJowdO5bPPvuML774gt69e6urhRDtiNVsICnGii8Qouw4nPkUljmpqPWSmmgjOd6GRtMRZ3NrTMKnCSaTCYfDQUxMDHq9/EoRoj07sKaOLxCmtMp9TBeWUxSFgjInlbVe0hPspHSgpbIPR8JHCNHhWUx6EmIthMMR6lx+3N5jd/NnjdNPWbWHQDBCaoKNhBiLukmHJOEjhOjw9DotUVYjDrtp/4i3Y9f1VlTupKrOS2KMheR4a4cfYn2AhI8QQuzvekuMteAPhCk9hsOti8pcVNf7SUu0kRQjXW4HSPgIIcT+rrfkOCu+YJiSymNz5hOJKBSVu6hx+khNsEuX269I+AghxP7wSYq14g8cuwlGa5w+Kmq9KAqkxFuJieqYC8cdioSPEEI0nPnY8AfClFW5iRyDEW9F5S5qnT4SHGYSYiwdduG4Q5FPQgghAJNRT0LMvoXl6j1B6t0BdZOjVljmpNblJy3RTrzDrK7u0CR8hBAC0Gk12K1GYqJM+wYd/M6uN0XZf+bjCpCWYCM+WsLn1yR8hBBivwODDvzBMCWVvy986j0BKuu8hEIRkuOsOOxyvefXJHyEEGI/s1FHcpyVwDEIn9JKN/XuAA77vmW6DXq5v+fXJHyEEGI/s1FPSvy+8Cn+neGzt8KF0x0gJd6GI8qMTOfWmISPEELsZzbtO/MJhiKUVbsJhSPqJs22t8KJ0xMgNd5GjN2oru7wJHyasHHjRqZNm8Z//vMfSktL1dVCiHbIqNcR77Cg02lweoLUuvzqJs0SDEUorfTg9oZISbDJ9Z5DkPBpgqIohMNhQqHQMZ3hVgjRemm1GuwWA3HRZoLBMKW/seutqs5LjdOPQa8lMcaC1WxQN+nwJHyaMGjQIG6//XbuvvtuUlNT1dVCiHbKZNSTEm8jGIpQXOFSVzfL3goXLm+AxBgLsVEmdFq54KMm4SOEEL9iMupIibcRCEXYW/HbznyKyly4vEFSE21E2+R6z6FI+AghxK+YDDpSD5z5/IZuN0VRKCp34vIESUuwEy3Xew5JwkcIIX7FbNSREm8lFI5QXuMhGDq6EW8eX4iy/dulxtuIssqZz6FI+AghxK8Y9Nr9N4VqcXmCVNf71E0Oq6TKjcsTxG4xEB9jxmSUm0sPRcJHCCF+RaPRYDEbSIyxEApH2HuUgw4Ky5y4vUHSEm1EW43IUINDk/ARQggVk0FHasK+6z57y39D+PiCpCfaiZLBBk2S8BFCCBWjQUtqgu2oz3zC+1cu9fhCpCXa5XrPYUj4CCGEilGvIy3BftThU+v0UVXnQ1EgNcGGzSI3lzZFwkcIIVSMhn0j3sJhhbJqD4FgWN3kkApKnXh9IZL2L6EgN5c2TcJHCCFU9DotCQ4LRoMWnz9EeY1X3eSQ9pQ68fiDZCTZsctZz2FJ+AghhIpGs3+mgwQboci+m0abo6C0Ho8vRKaEzxFJ+AghxCEY9DrSE+yEm3ndJxAKU1Thwh8Mk55kx26V8DkcCR8hhDgEg15LWoKNUFihsOzIZz4lFW7c3iBmo56kWCsmg17dRPyKhI8QQhyCUa8lLXH/mU8z7vXJL6nH5w+Tmbyvy01WLj08CR8hhDgEg15LWqKNcEShtBkj3vJL6vH6Q3RKjpIh1s0g4SOEEIeg02mJjTJhs+gJNWNtn/zSenyBEJnJUbJ4XDNI+AghRBMMet2+rreIQuFhRrzVuwNU1ngJhSNkJNmxmeV6z5FI+AghRBMMei0ZCXYiEYXCsqbPfPaU1OH1h0iK3X9zqU4OrUfSIT6hnJwcrrnmGoYNG8bjjz+urhZCiEPS67SkJ+0/8ylt+sxn9956/MEwnVKky625OkT4xMfH84c//IGrrrqK2tpadbUQQhySQa8lPXH/mc9hut12FdXg84fonOaQLrdm6hDhExsby+jRo0lPT1dXCSFEk/S6fcOtI4pCVb0PtzeoboLPH2JPqRN/MEzXtGisMtKtWU5o+CiKws8//8wDDzzARRddxNChQ5kzZw4ej6dRu2XLlnHXXXdx5pln8oc//IGPP/6Y6urqRm0OR6fTYbFY0GpP6NsVQrQxWq2GaJuRuGgTwVCEPYfoettTWo/LG8RhM5Eca8Wol5VLm+OEHo0VRaGiogJFUTj99NPZvn07lZWVRCL/WzN93bp1vPzyy4RCIa655hq6devG+++/z1dffYXPt295288//5wJEyZwww03NCr/+te/qK+v/9UzHlkwGMTj8eB2uxtKOHz48f1CiPbLaNDRNd1BJKKwPb8aRWlcv7OwFn8gTOfUaGxyc2mzndDw0Wg0nHzyyUycOJEbb7wRi8WibsK8efPQarWMGzeOq666iokTJ5KWlsby5cvZvXs3ACeffDJ33XXXQeXSSy895D4PZ/bs2Vx55ZVcdNFFXHTRRVxxxRXk5OSomwkhOgiDXkuvrDgiEYVteZXqan4pqCEQDNM1w4FFrvc02wkPn/j4eLp27UpSUtJB3WLhcJh169bRvXt3evXqRUxMDFlZWQwcOJCamhoKCgoASE9PZ+jQoQwbNqxR6dWrFwbD0fW/nnTSSfzpT39i4sSJTJw4kdtuu43k5GR1MyFEB9EQPorCzoJa/L+a6cDlDZK7t45AMEL3zBispqM73nRkJzR8jsTlclFbW0tiYiI2m63h8aSkJEKhEHV1dY3aNyU/P5+nnnqKN998k4ULF/K3v/2N3NxcdTMAunfvzsUXX8zYsWMZO3Ysl1xyCbGxsepmQogOQqfdN9w62mbE6Qmyp7QeZX/f2y8F1dS5AiTEWkhLsGM0tOpDaqvSqj+pQCBAOBzGaDQ2OisyGAwoitLsazEOh4Nzzz2XO++8k0mTJnH22Wc3GSharRa9Xo/BYGgo6jMyIUTHodGA1awnOz2GiKKwJbeSyP7rPut3VOAPhunbJQ6H3YhGLvg0W6s+qlqtVgwGAx6Ph1Ao1PC41+tFq9ViNBobtW9KbGwsY8aM4YorruCqq67i/PPPJy4uTt2skVWrVjF58mSeeOIJCgsL1dVCiA5Er9MyoHsCiqKwanMJgWAYnz/E5txKAsEwA7olyM2lR6lVh4/FYiEtLY29e/c2dLEpikJBQQF6vZ6EhAT1JsdMfHw8vXv3pm/fvkc9aEEI0b7odVpO6pmEzWIgr7iOnD3VrNlaSnmNhxi7ia7pMZgMMsT6aJzw8PH7/RQXF7N3717C4TC1tbUUFxdTVVVFJBLhzDPPJCcnh2XLlpGXl8fSpUv58ccfycrKomvXrurdHTM9evRg7NixjBs37riGnBCi9dNqNaQm2DipZxKBYIQvV+Qzb1kuPn+I4f3TSIixoNVKl9vROKHhoygK+fn5PP7440yaNAmXy8XcuXN56qmn+Oijj6ipqeGCCy5g0KBBfPfddzzzzDNMnTqVhIQEzjvvPFJTU9W7FEKI48Ko13HuqVnYzAY27KxgV1EtqQl2zjg5A6sMsT5qJzR8AEwmE5mZmWRlZfGPf/yDMWPG0K1bNxITE9Hr9WRlZXHLLbdw/vnnk52dzciRI7n11ls59dRTj3oYtRBC/FZarYZeWbGMPT2b/tkJ9MyK45KRXclKiUIvs1gftRP6iWk0Gjp37sykSZN47LHHGpVrrrmmYURaz549mTBhAv/85z+55557GDZsGHa7Xb27Y2rr1q3MmDGD9957j/LycnW1EKIDMpv0jD09m6vP6cHV5/Rg1OB0TEY56/ktTmj4tGY+n4/q6mqqqqoIBg+eTFAI0TGZTXp6ZsUypHcydplO5zeT8GnCySefzJ///Gfuv/9+mQ1bCCGOMQkfIYQQLU7Cpwn5+fl89913fPPNN9TU1KirhRBC/A4SPk0oKChg6dKlLFy4sNlzyAkhhGgeCZ8mjB49mqeffpoXXniBzp07q6uFEEL8DhI+QgghWpyEjxBCiBYn4SOEEKLFSfg0oba2lt27d7Nr1y68Xq+6WgghxO8g4dOEpUuX8tBDD/HAAw+Qn59PJBI56qIoyr5yiLpDFUWJAKAoESKKclC9uihKBGXfBkd+DmX/60Ehohyi/hBl32qNyr7nOYptFEU54utXGvbPkV/7r8q+t3v4fR8o+173vvd8pOfY93qObv+RA/tuxt/rwOdCM17L/7bZ9/dt9mcfiez/ex35OQ58/vv2f/jX3rDNrz6f5mxzoF1zXk9E2fc5AgfXNVGUyP8+n+bsH6X577UlirL/NTXn/+OB/4MNx4dDtFGX/30+R/+e931Xjy+N0hLP0oY5nU7OPfdcbrjhBkaOHIle37x5nBRFYf78+cyYNY/rb3sQTTNWQw0Hgzx233gefHY6tqiYI07bEQmH+e+MN0jJyGLEmZcc9jmUiELOlp9Y8u3/cdt9z6DVHXntkXAoyPOP3Mat9z5BYkrmEVdpjITDfDP3A/R6A+dccu1hV4BVFIXCvBxmf/Bv7p30b3S6I3+ukVCI1yb/lcuuuZ2s7D5Hfj2RCD98N4eaqnIuHX8bWm3T71lRFKrLS5j64j/45+R30TXj7xwJhZj+78cYftYl9Bk49LCvR4lEWL3sawrycrjyhnuP/Pkr4PU4efKBP/Lkq7MwGE3qFgeJhMN8PP1FevQZzJDh5xzh+xBh07rlrF+9mAl3PXLk17P/+/nk3/7IXx99jejYxGZ9Pz+f9Sax8cmMOvfyw38fIgq5OzbwzeczuOtv/2re6wkFeenxu/jj7f8kJaPL4T9/ReGbOe/TJzuZO++887CvpSVEIhHeffddVq/P4dLxtx/2tbP/9ddVV/D/nr6XSS982KzvpxKJ8N4bT3HbzdcyZsyYIz7HAaFQiIULFzJnzhy+/PJLoqKi1E2OCQmfI6ioqODaa69lw4YNzf7jtWWRSISqqiri4uLQNeMA0N6Ew2FqamqIj4/vEH9vNWX/8vR1dXXExcV1uM9AURSCwSBut5uYmJgO9/4PUBSFU089lffff/+4rWcm4XMEBw7Ger0enU7Xrr+MiqJQV1dHdnY2mzZtIi0trV2/X7VIJMLu3bs544wz2LZtG9HR0eom7V44HGbz5s1cc801rF279rj96m2tQqEQS5Ys4fHHH+ebb7457rPnt0aKohAKhYhEIsf1R5iEj2iktraW5ORkdu/e3SHDJzc3l1NOOYWCgoIOGT6RSIQNGzZw2WWXsW3btg4ZPgsXLuSf//wny5Yt65Dh01JObMenEEKIDknCRwghRIvTPf7444+rHxQdWygU4swzz8RkMnWobjf293drtVrOOOOMZo9sbG8URcFoNB7V6M72RFEU7HY7Q4cO7ZCDblqKXPMRjSiKgsfjwWq1drjgYf81D6/X22HfP/s/A5/Ph8Vi6ZCfQTgcJhAIYDabO+T7bykSPkIIIVqcXPMRQgjR4iR8hBBCtDgJHyGEEC1OwkcIIUSLkwEHHUR9fT1r1qxhwYIF5OfnY7Vaue+++xg8eLC6aSPbt2/n/fffZ8eOHdhsNi688EIuuOAC4uLi1E1bvdraWlauXMn333/Pnj17iIuL45577mHAgAHqpg02bdrEI488gs/na/T4M888w+DBg9vUUOScnBy++uorNm7c2DB32/Dhw7n00ktJTExUN28QiURYvnw5H374ISUlJSQnJ3PdddcxfPhwzGazunmrtXHjRr755hu2bt2K0+kkKSmJ008/nfPOO4/4+Hh1cwA8Hg9ff/01b775ZqPHDQYDs2bNkhkQfgc58+kg/H4/5eXlKIpCXFwcy5cvp6qqSt2skYqKCiZNmkRhYSGnn346WVlZTJ8+nW+++Ya6ujp181bP6/VSUVGBVqvFbrezcuVKampq1M0aqa2tZdGiRYwZM4brrruO66+/nuuvv5709PQTPjPy0crNzWXnzp307t2b888/n8zMTL744gumTp1KIBBQN4f9wbN161b+9re/YTQaufDCCzGZTDz55JNs2LChye1ao+3bt7N3714GDBjA+eefT1xcHJ999hkffvghwWBQ3Rz23/NWUFDAxo0bG/72119/Pddeey1Go1HdXBwNRXQIPp9PKSgoUHbs2KF88cUXSpcuXZTvvvtO3ayR9957TxkwYIDy9ddfK5WVlUp+fr5y0003KRMmTFC2bNmibt7qeTweJT8/X8nJyVE+/vhjpU+fPsqSJUvUzRpZunSpYrPZlC1btihut1vxer2K1+tVwuGwummrV1RUpPz8889KcXGxUltbq+Tm5ipPPvmkcvrppyu5ubnq5oqiKIrX61UefPBBZciQIcrmzZuV2tpaZfv27crIkSOVhx9+WCkvL1dv0mrl5eUpGzduVEpLS5Xa2lplx44dygMPPKCMHTtWyc/PVzdXFEVR6urqlFdeeUXp2rVrw9/+QIlEIurm4ii0rZ9u4jczmUxkZmbSs2fPw3ax/NqSJUvo1asXgwYNIj4+nqysLM444wxyc3MpLy9XN2/1LBYLWVlZ9OjRo8lulqa89NJL/P3vf+fFF19ky5YtbeoX/wHp6ekMGjSI1NRUHA4HKSkpZGRk4PV6CYVC6uaw/5f/d999x1lnnUWvXr1wOBz06tWLESNGsG7dOpxOp3qTVqtz584MGDCA5ORkHA4HaWlpJCUl4fP5CIfD6uYNFEWhurqaBx98kH/84x9MmTKFsrIy5IrF7yPhI5qUl5dHp06dMBgMDY916tQJt9uNy+Uisn9l0fbM4XBwzTXX0K1bN1JSUsjJyeGZZ57hxx9/xO/3q5u3Kfn5+axZs4Zu3bqRmpqqrob93W55eXn07Nmz0d3+2dnZlJaWtskQZn+g5OTksHXrVrKzs0lKSlI3AUCv15OVlcXVV19Neno6sbGxLFmyhIceeoiSkpIO8X/geJHwEU3y+XwHze9mMpmIRCKEQqEO8csvKyuL++67j1tuuYVbb72V22+/ndraWubPn09FRYW6eZuRn5/PZ599Rnl5OX/84x+bXDpBURS8Xu9BAwvMZjN+v7/NHnx/+eUXPvvsM4LBIOPGjWty4IDJZGLYsGH89a9/5aabbuLWW2/lT3/6EytXruTbb79t8z9ATiQJH9Eku92Ox+NpFDJerxedTofRaGxzF9x/i5iYGPr06UNycjIpKSmMHDmS0047jW3btlFbW6tu3ibk5+czc+ZMtm3bxtVXX83pp5+ubtJAo9EQFRWFy+Vq9Ljb7cZqtbbJ70BOTg4zZsygpKSEq6++mmHDhqmbNNDpdKSlpdGjRw8SEhLIyMjgoosuonv37qxatarNnvm1Bm3vmyNaTPfu3cnNzW30627Xrl1ER0cTFRXVYSddVBSlzf7iz8vL4+OPP2bTpk1ceumlXHzxxVgsFnWzBlqtlh49erB58+ZG73n79u2kp6cfdEbU2h0Invz8fC6//HLOOeec3/QeIpHIYa8TiSOT8OkgIpEIbreb0tJSqqurCYfD1NTUUFZWhtPpbFjBcd68eQ0HmfPPP5/c3FwWL15MUVERmzZt4ttvv6VPnz6kpKSon6LVi0QiuFwuSktLqampIRQKUV1dTXl5OU6nE5/Px/fff8+XX37ZsM3atWvZsWMHlZWVVFRUsGTJElauXEnPnj1xOByN9t/a5eXl8dFHH7F27VpGjx7NWWed1TCL+YEDaX19PZ9//jkrVqyA/fezXHrppSxcuJBVq1ZRXl7OihUrWLFiBSNGjGhTq73u2LGD999/n+3bt3P22WczfPjwhlnMD7z/iooKvvjiC3788UfYf6a/YsUK8vLyqKmpobi4mDlz5vDLL78wdOhQGW79O8h6Ph2Ex+NhzZo1TJ8+nRUrVrBlyxbcbjc5OTkEAgG6dOnCa6+9xg8//MCVV16JVqslJSWFPXv2sG7dOrZs2cLy5ctxu91cffXVDBgwoM39x3O5XKxYsYL33nuPFStWsH37dpxOJ7/88gvhcJjU1FSmTJnCjz/+yBVXXAHAZ599xsKFC/nxxx9ZvXo1y5Ytw2azcd1119G9e/dGgzFau2+++Yb/9//+H06nk6ioKDZt2sSKFSvIyckhPj6e+Ph4SktLeeGFF3A6nZx55plotVpSU1PZsGEDmzdvZtOmTSxevJiYmBhuuukmMjIy2kzX26effsqbb75JKBTCaDSyYcOGhmBJSEggNjaW3Nxc3njjDQKBACNGjKC+vp733nuPVatWsWbNGlavXs3SpUvp168fN998M3FxcR22B+D3kvDpIILBIHv37iUnJwe73c7gwYNxOBzodDoyMjLo1asX9fX1pKamcsopp6DVajGbzfTu3ZtgMIjL5SIuLo7LL7+cESNGNHmBujULBAIUFhaya9cuHA4HAwcOJDo6GoPBQGZmJt27d8flcpGens7JJ58M+3/51tTU4Ha70Wq1dOvWjWuvvZZBgwYdtruqNaqqqiISidClSxc0Gg2BQIBAIIDRaGwYgh8Oh/F4PPTo0YNevXqh0WiIjY2lZ8+e1NXV4fF46NSpEzfccAN9+/ZtU+FbWlqK0WgkMzMT9n8fAoEANpuNbt26ER8f3/BYz5496datW8PZcl1dXcPAi8GDB3PLLbeQmZnZZoK3NZLpdYQQQrQ4iW0hhBAtTsJHCCFEi5PwEUII0eIkfIQQQrS4/w/xeMdy1HNn5QAAAABJRU5ErkJggg=="},"3c6873bb-b111-425c-bf83-2e7830d92495.png":{"image/png":"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"},"b650af07-fb43-4eab-9d72-5439a1cba732.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAZwAAAFxCAYAAABHmx5lAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAH0MSURBVHhe7d13nBXV/f/x1+1te2/ssrBL7x1EaSoqwd6+sceCxpZiYkmxRY0takyixtiNGguJYkNUEKVI732Xsr3v3l7n/P4A7s+9CCLsLrvs5/l4HB4P9pyZO7fN+86ZM2d0SimFEEII0c70sX8QQggh2oMEjhBCiA4hgSOOierqau69917Gjx/Pe++9F1vdIf7zn/8wZMgQ7rjjjujfdu3axU033cTo0aNZtWpVq/Ydxe/3M3v2bIqKinjwwQdjq7uUcDjMW2+9xcyZM+nZsyepqancdttt7Nq1K7ap6AYkcMQRq6qq4sQTTyQrKyta8vPzGTBgANOnT+c3v/kNn3/+OU6nM3ZRNE3D7/fjcrkIBoOx1YflmmuuoWfPnmzdujW26rAEg0GcTic+ny/6N03T8Hq9uFwuIpFIq/Zt6YUXXmDUqFE8+uijsVUopQiFQrS0tOD3+2Oru5QPPviARx55hN27dzNp0iSuvPJKJkyYQHx8fGxTPv74Y0444YRWn6dDld69e7NkyZLY1YhOTCeDBsSRqqio4JRTTqGpqYmTTz6ZtLQ0wuEwLpeLnTt3UlJSQjgcZurUqdx8882MHz8+umwgEKC8vJz6+np69uxJZmZmq3UfjgsuuICPPvqI5cuXM3DgwNjqH1RdXU1paSlpaWn06dMHgNLSUv70pz+xePFiXnvtNUaPHh27WJt4+umnefzxx7niiiu49957W9VpmkZdXR3btm0jNzeXXr16tarvSm677TbeeustHnjgAWbMmIHRaMRisWCxWNDrW//eXb9+PXPmzKGuri76t4aGBhYuXIjL5WL69OmtPidms5nrrruO3r17R/8mOjklxBEqLy9X/fv3V6NGjVILFy5UdXV1qq6uTlVXV6s9e/aozz//XF144YUqMzNTnX/++Wrx4sXRZTVNU+FwWAWDQRWJRFqt93Cdf/75ymazqQ0bNsRWHZZIJKKCwaAKh8PRv5WUlKirrrpK9e3bVy1btqxV+7b017/+VRUUFKg//vGPsVVK7du2QCDQatu6oksuuUQVFBSoTz/9NLbqAIFAQDU2NkY/R3V1deqbb75RU6dOVcXFxWrevHmt6urr61UwGIxdjejEpEtNHDWj0UhSUhJpaWmkpaWRmZlJjx49mDhxIr/73e846aST+OKLL5g7dy4ulwuA+vp6/va3v3HRRRcxd+7c6LoCgQCrVq3iN7/5DaeeeiqjR4/mpJNO4qKLLuLRRx+NdnNNmjSJefPmEQgEOPfccxk6dChDhw7lhhtuYNu2bTQ2NnLLLbdwxRVX8Mknn/Dyyy9zwQUXMGbMGB544AFaWlr4+OOPmTlzJo899lj08b/L6XTyyiuvcNZZZzFmzBhOO+00Hn/8cdxud6t269atY/r06dx///3U1NS0qmtqauJXv/oVl19+OUuXLsXpdPLQQw/x5z//maqqKp577rnotp977rl88sknBAIB5s2bx6mnnsqzzz7ban2aplFWVsbdd9/NKaecwqhRo5g2bRp33nknW7ZsIRwOt2r/1FNPMXnyZD788EO+/PJLbrjhBk488USmTJnC7373O9atW9eq/Q/x+Xy8/fbb/N///R/jxo1j3Lhx/PSnP+Wdd95p1f33zjvvcOqpp/LRRx9RVVXFDTfcwNChQ5k0aRKffPJJq3XuZzabSU5Ojn6O0tLSSEpKwmw2YzAYSExMjP49ISGBb7/9luuuu47JkyczevRopk6dytVXX80HH3yA1+uNXb3oBCRwRLuxWCz079+fadOmkZaWxtq1a9m+fTsAoVCI6upqtm3bRnNzc/RvK1asYNasWbz77rsYjUYGDhxITk4OtbW1/O1vfyMUCgEwYsQIUlJS0Ol0DB48mDFjxjBmzBj69u2L3W4nHA6ze/duli9fzoMPPsgLL7xAOBymoKCAxMRE2BcGW7ZsobKy8jtbvVdjYyMvvfQSTzzxBDabjT59+lBZWcnjjz/OTTfd1Oq8j9frZcuWLVRUVES3b7/927Fjxw7cbjcGg4GePXtSUFCA2WwmJycnuu2DBw8mNTUVTdNobm5m48aNrQIsEomwdetWLr30Up555hkikQgDBw5Er9fz6quvcvXVV7Ns2bJW58SqqqrYuHEj//znP3niiSfYtWsX2dnZuN1uXnnlFf7617+yfv36aPtDaW5u5pFHHuGOO+5gxYoV9OrVi169erFs2TJuv/12Hn30UVpaWgDIyMhg2LBhpKSkYDab6devH2PGjGHEiBGkpqbGrvpH8Xq9vPHGG9x6660sXLiQjIwMBg8eTEpKCmvXruXDDz884EeB6CRiD3mEOFz7u9TGjRun1q1bF1sd9dVXX6mTTz5ZjRo1Ss2ePVsppVRFRYW644471MCBA9Ubb7yhlFKqpqZG3XfffSorK0vdfffdatOmTaq0tFRt375drVu3Tn3yySfR7reysjJ1xhlnKKvVqubNm6d27dqldu3apWpqalQgEFA1NTXqzDPPVDabTU2ZMkW9/PLLavPmzWr79u2qurpahcNh9eqrr6qCggJ1yy23RLd1f5eayWRSQ4cOVW+//bbatm2bKikpUYsXL1bTpk1TCQkJ6pVXXlGBQEAppdSSJUtUfn6+mjVrliorK4uuSymlamtr1bnnnqvGjx+v5s2bpyKRiGpoaFD33nuvys3NVbfeemt02ysrK5Xb7VZer1e99dZbKi0tTf3hD3+Irqu5uVldccUVymazqd/85jdq3bp1qrS0VG3cuFH94Q9/UOnp6eqCCy5Qu3btii5z++23q7S0NNWvXz/1+OOPq9WrV6vt27err776Sl100UWqsLBQ/f3vf4+2Pxifz6c+/vhjlZubqwYNGqTmz5+vduzYoXbs2KG++OIL1a9fP5WTk6Pmzp2r/H6/crlcqry8XM2cOVPl5uaq119/Xe3atUuVlZUpt9sdu/qD2rBhgzrttNNUv379ol2cNTU1atq0aSopKUnNnTtXbd++Xe3cuVNt27ZNrVq1Si1btkz5fL7YVYlOQI5wRLtLSUkhOTkZp9P5vSPW9guFQjQ3N2MymejXrx/9+/ensLCQoqIiBg8ezLRp06InmvPy8rDb7eh0OrKzsykoKKCgoICMjAzMZnN0nXq9nlNPPZUzzzyTfv36UVRURGZmJgaD4TuPfCC73c64ceM444wzKC4uplevXowePZrf/OY3eL1eXn311SMaXafX66Ovh9FoJDExMbrt2dnZOByO2EVg39FNeXk5c+bMoUePHtxyyy0MGjSIwsJCBgwYwKxZsygqKmL+/PmUlpYecKQ1ceJETj/9dIYMGUJRURHjxo1j4sSJRCIRduzY8YPPxel0Ro8crrnmGiZOnEjv3r3p3bs3J510EldffTUul4s5c+bgdDqJi4sjNzcXu92O0WgkIyODgoIC8vLyDvocD1ckEqGurg6r1cqoUaMoKiqiZ8+eFBcXM3z4cIYNG4bFYoldTHQCEjii3RmNRgwGA5qmHXKocXx8PIMGDcLlcvHss8/y5JNP8tVXX1FbWwuAyWSKXeQHZWVl0adPH5KSkmKrDikhIYETTjih1c7RYDAwbtw40tPTWb58eYcOWQ6FQmzduhW3282YMWPIy8tDp9NF63Nychg5ciTBYJDt27cfcA5jyJAh5OfnRwPbbDaTkZFBQkICbrf7B5+L1+tl5cqVWK1WTj/9dIxGY7TOaDQyY8YMrFYrK1asOOCx25rVamXs2LG0tLRw66238tJLL7F8+XLcbjdKKUwmU6vXRnQeEjii3fl8Pvx+f3Q47ME4HA6mTJnCL37xC3w+H8888wy//e1v+dnPfsavf/1rlixZwo8dxZ+amkpCQsKP3gFZLBby8vJa/U2n02G328nKysLtduPxeH709hypSCRCbW0ter2ewsLC2Gp0Oh35+fmYzWYaGhoOOMJJSkrCZrO1+pvZbMZsNhOJRA4YbBArHA5TV1eHyWSioKAgtpqePXtiMpmoq6s75I+KthAXF8cNN9zAZZddxurVq3n44Yf55S9/yWWXXcaDDz7Izp07230bxJGRwBHtrry8nOrqalJTU8nIyIitjjIYDPTo0YPrrruOhx56iLvuuotTTjkFvV7PW2+9xV133cWWLVvQNC120YMymUw/2H32fTRNO2g3UyAQgH2/7Nm3s2ffMrECgcAP7swPh06niz7e/sePFQwGUUphNBoPCFiDwXDAdS/fbfNDwbn/8ZVS3/u6fPex25vJZGLw4MH8+te/5pFHHuEXv/gFY8aMob6+nueff57777+/1bU8ovOQwBHtyul0smLFCkpLSykqKqK4uDi2SSsGg4Hs7GymTp3KJZdcwo033sidd97JjBkzWLhwIZ9//nn01+v+HegP7SyPhM/nY9u2ba3+ppSioaGByspKsrOzo+eQ7HY7er2elpaWA8KlpqYmOhT8u/bv7A93241GIwUFBYTDYTZs2HDAckoptmzZgt/vJzc3F6vV2qr+aJlMJvLz8wkGg2zYsCG2mg0bNhAMBqNHWe3NaDTSp08fzjjjDK666ip+8Ytf8Kc//YmMjAw++OADdu7cecB7IY49CRzRburq6njnnXf46KOPSE1NZeLEieTk5MQ2iwoEAlRVVbU6gsjOzmb48OEMGDAApRTV1dXRI4lD7eiPVnNzM/PmzWs1LDkYDPLWW2/hdDo55ZRTot2D+0/2b9y4kfr6+mgg+nw+5s+fz86dO6Pr2M9sNqPT6fD5fIfV/WM0GikqKqKwsJBVq1Yd0L24fPlyVq9eTVZWFkVFRW0eOPHx8UyePBmPx8O///3vVud8/H4/r7/+Ol6vl8mTJxMXF9dq2bYWCoUoLS2NPn+LxUJ+fj4TJ04kNTUVt9uN1+v93iNOcWxJ4Iij1tzczOLFi5k7dy6ffPIJ7733Hv/4xz+49957+etf/0owGOSKK65g2rRph/z129DQwH/+8x/uuece/vWvfzF79mw++OADXnrpJWbPno3D4WDcuHHRLrK+fftiNpt54403+N///sdnn33GqlWr2uwajNraWh544AHefvtt3n//fZ588kmee+45evTowc9+9rPoc0lJSWHChAnU1NTwzDPP8MYbb/D222/z2GOP8c0337S6Zme/9PR0UlJSWLFiBa+//jpz585lyZIlVFdXxzaFfUdzmZmZzJo1C4/Hw3333ccLL7zAhx9+yMsvv8wDDzxATU0Nl1xyCYWFhUfUjXgocXFxnHbaaQwZMoT//e9/PPTQQ7z//vv873//44EHHuD9999n2LBhnH766e0eOC0tLfzpT3/igQce4NVXX2XOnDn873//4/HHH2fz5s0UFxeTlZXVId174scx3HPPPffE/lGIw+FyuXjttdeoqKhg165dLF26lEWLFrF06VLWrFlDfX09/fv35+KLL+bMM88kPz+/1bLLli1j27ZtnHTSSQwePBiPx8PKlSuZO3cuq1evZunSpSxZsoTVq1djMBi49NJLueCCC6JdWQkJCezevZuVK1eycuVKFi9eTFNTE/3798disTBnzhx8Ph9Tp0793hPt69atY/78+fTr14/TTz8d9l0MunDhQqqqqrjooosoKSlh8eLFfPXVVyxevJj09HRuuukmfvKTn0RHzel0OjIzM6mvr2fp0qWsXLmSdevW0dzczOjRo6mvrwdgypQp0XnRzGYzHo+H9evXs2zZMr799ltKSkrIzs6mR48ebN26lY8//pjRo0czZcoU2NfduD9M1q1bx4oVK1i6dCmLFy/G5XJxzjnncNVVV5GdnR3tbvz8889ZvXo1p59+OoMHD973zPfaunUrX331FVlZWZxyyinY7fZW9d9lMBhISkoiKyuLuro6vvnmG1atWsWiRYtYvXo1Q4cO5cYbb2TcuHGtBoa8++67lJeXc+aZZx7RnGd1dXV89tlnNDc3c84555Cbm4vH42H27NmsWLEi+r4vW7aMlStXUlRUxDXXXMO4cePa/ChPHD2ZvFMcsf1Tv+zfobJvx2Q2m0lKSiInJ4d+/fqRn59/wJff5XKxdOlStm7dyqRJkxg8eDCBQIBdu3axYcMGKisrcblcaJpGUlISRUVFjB8/PjpLAPtO0i9evJi1a9fS2NhIOBymd+/enHrqqcTHx/P+++/j9XqZNm3a9wbO2rVr+eKLL+jXrx9nnHEG7Aucr776ij179nDGGWdQU1PDypUraWlpweFwMGDAAKZMmXLAaDulVHQHWF9fj81mY+DAgQwYMIDFixfjdruZMmVKdKe7//qXpUuXUllZid/vJz09nUmTJtGvXz+2bt3KRx99FJ2y5buPs38bS0pK8Hg82Gw2evXqxQknnEBGRkaro5t58+axatWq6DU437VlyxYWLFhAVlYWp5566iEDZ79QKMTq1atZtWpV9MR8RkYGI0aMYNiwYQcMXX/nnXcoKyvjrLPOOqLAqa2tZe7cuTQ3N3PuueeSm5tLMBhk5cqVlJaWUlNTg9vtjk6LM2TIEIYPH37A5010DhI4QgghOoScwxFCCNEhJHCEEEJ0CAkcIYQQHUICRwghRIeQQQMxlFL4/f7vnR5ECCGOJ0opNE3DYDB0yHVLEjjfoZSiubmZjz766ICJDoUQ4ngUDAYZNGgQ/fv3b/fQkcD5jkgkwsaNGxk5ciRjx45t86u1hRCiM9E0je3bt3PLLbdw6623HvW9in6IBM53aJpGSUkJo0aNYuvWrcTHx8c2EUKI44bP5+PWW29l+PDh3HzzzQdc0NzWJHC+Y3/gjB49mj179pCQkBDbRAghjhs+n4/rr7+ewYMHc8sttxxyrsO2IKPUhBBCdAgJHCGEEB1CAkcIIUSHkMARQgjRISRwhBBCdAgJHCGEEB1CAkcIIUSHkMARQgjRISRwhBBCdAgJHCGEEB1CAkcI0aUFAgFcLtePKj6fj0gkErsq0c5kLrXvkLnUhDiQUopAIEAoFIqtOiSTyYTZbEavb7/ftS6Xi1OnT6exoYEfsyuLi4/n9t/+lvPPP79bzwrf0XOpSeB8hwSOOFY0TSMYDBIOh2OrDmn/Tr29bhaolGLTpk1cf8MNtDQ3x1YfUkJiIk/85S+MHDmyXUJHKUV9fT05ubn86i+344iPg8N4GULBEB+9+j6XnfNTbrzxxnbfyXZmEjhHwel0Mnv2bBYsWEAwGGTYsGGcc845FBcXxzb9XhI44ljQNI3PPvuMhx9+GLfbHVt9SMnJyfz73/8mLS2tXUInEomwePFiLvjpRVxx+9VYrNbYJt8rEAjw5pOv8txfn+GUU05plxt7KaWora0lOzubZ794mfjkxMN6DQJ+Py/86RnOmvwTbrrppnafkr8zk8A5Cs3NzWzcuBG/34/JZOKLL74gNTWVG264AZPJFNv8ABI44lgIhUK88sor/OXZJznj0jMxHeaX3u/z8/y9f+fbJUvJz88/7KMIg8GAyWQ6rK6kSCTCN998w0+vupQ/vf4oVsfh3QnX7/Hxp+v+wMP3PMTJJ598WN8/AL1ej8lkOqyA+m7g/HP+q8SnHG7gBHj+vr9z1qQZEjgSOEcuHA4TDAYxGo0YDAaee+45ampq+PWvf31Y4SGBI46FYDDISy+9xL/+8xI3PvjLwz6KcDW1cOvM6xk2ZBg2q/WwdrYANrudK664gnPPOecHQ2d/4Fxy1aU88Obj2Bz22Cbfy9Pi4k+z/kicwU5KSsphh6HZYmH6qady0003/WDoSOAcvY4OnMP7FHSAUCjEqlWruO+++7jyyis566yz+Oabbw7o0/7mm2/47W9/y8UXX8yNN97IvHnzcLlcABiNRux2O2azmZaWFpxOJzabDZvt8H6VCXEs6XQ6DAYDBuP3F71RT5gwjYFmyt1V7PZW0vu0QcRNyMA+IZ34E7JIOTGPrEm9KJzWn36nDmPQ9BEMPm1ktPSbNoTKlmq2btlywHfrx1BKEQwHcfpd1LrrKW+pYmdTGdsaStlUu43NTSX0mN6XhKk5MCaOyCg74VFWQiP/fwlHi43wKBuRUTbcfRUrw1v4z/o5fLztSxbtWcHW+lJcAfePGhQgOqdOEziRSISqqirq6urIzc1lzpw5VFRUoGlatM3q1av5y1/+QktLCyNGjCAcDvOPf/yDJUuWtBpBEwwGmTdvHi0tLZxwwgkHPZxXShEMBvH5fNHi9/tjmwlxTIUiISpdNayv2cKKynWsr9nClvoSyrzVFE7rR/qoPJKHZZE0NIP4IWnYBydjGpiAvr8d86BEEoZlkDkqn57j+9B/4mCSs1IIR8KH3IErFKFIiEZfM03KRXyvFCrc1WyrL2Vd9WaWV6xleeVa1lRvZEPtVjbXbWdrfQk7GnZR2rSHCm8NqUOyyR7Tk6yR+XvLiAKyR/7/khUt+WSN2FdGFRDM1jF/92I+2vYlszd9zGtr3uPZ5a/z2pr3+HrXt9R6ftyINNF5dJoutf2B09DQQHx8PH369OHf//4355xzTvQw76677mLdunX84he/YNiwYVRVVXHXXXcxaNAgrr/+egoKCohEIsybN4+vv/6aUaNGccoppxAXFxf7cADU19cze/Zs5s+fD/sCyO12880330iXmugw+7vUXnj7ZW7+86+x2PZ2qYUiIWo9DVS6amjxu/CGvIQiYewmGw6zDUKKlQuWMWLiaGxxdsIqQkgLEQgH8IX8hLUIep0ek8GIyWDCpDdiQE/51j3kJGcxetgo4qx2jHojet3e355hLUwgHMQXDuANevGF/NQ11bNh60ZyinqgoRHSwoS1vYFlNpixGs2YDSaMehMmvQGTwUTYH2LpZ4voN3wAOQW5GA1GdDr9AYPI9u589v4biYQp2bQDX6OHqaeejF8L0OJ3UudtpMnfgsVgJsWWRHZ8Bv3SejMqZyh6n5IutaPQbbvUDAYDeXl5DB06lB49esRWE4lE+Prrrxk+fDiDBw8mLS2NQYMGMXz4cHbv3k1lZSUAS5YsYdGiRfTt25eTTjrpoGEDYLFYKCoqYsKECdEyYsSI2GZCdChNabT4XWypL2FL/Q7KnVUEwgGy4tIZktWfoVkDGJDRh3xbDiUfbyDbmEqftF70Ty9iYEYfBmf2Z3j2IIZk9acotSeZjjRsRithLUJL0IU1P56mBC8Ldi/hsx0L+XT7V3y6fT6fbp/P3O1f8XnJ1yzYuZhFZStYV7OFWl8DJqsZi8FMqi2JgsRcBqQXMzx7EMOzBzI4sz8DM/oyIKOYfulF9EntRQ9HDrXLyojzWihM7EGvlAJ6JedTmPKdkpxPr++Unok9MNYrdCVBTu89iXMGnMZFg8/k8mHnc8mQcxjfYyRGvYHVVRv5ePt8/r3uvyyrWoPeZDis4dDi2Os0gfND3G43dXV15OXlYd13UlWn05GXl4fX68XpdFJXV8f777/PV199xfLly3n++ef54IMPaGlpiV0dAHFxcZx00knMmjWLWbNmcd1113HxxRfHNhOiw4S1CLWeBjbVbWNXUxneoI/c+CwGZ/ajb1oRvZLzyUnIJM2eQpzRjquyBavOQoIljmRbImn2FLLjM8hPyqVXcj7FqYX0Te/NgIxiBmX2ZWBqHwKbWkisMjO5YDxj84ZHQ2NwZn9G5Q7lpJ7jOKPPVH46+GwuH3oeExOGs3vuFvokFdI3vYjitF70TulJr+R8eiTmkB2fQbojlRRbEonWBOIsDmwGC2F3EENEh9mw9wjIZDBi0n+nGPYXEyaDCbPehC6k0AcUmXHpFCb3YEBGMWN7DOOU3idyZr9TuGjwmZzV71SSLPGsqFzLvD3f0O+s4QTVkZ+PEh2nywSO3+9H0zSsVmurES9ms5lwOEw4HMZkMnHSSSfx05/+lNGjR5OTk0NycvJBR+LodDqMRiNmszlaDna+R4j2FtLCVHvq2FpXQo27HrvJRt+03vRN602PpBwSrfEY9N//Wf4+Br0Bq9FCgiWeNHsKOfGZ9IjPxr/DSWqjg9OLJnNmv1M4q9+pnNV/fzmFmf1O5id9T+b0PpOZ1usE+joKadxcTYo1kSRrAg6TDbPBdFjdV0ciEong9/ujJeAPoMIayaYE+icXMSV/PDN6T2VC7iiaAk6Kpg+k1L0HT9Ar53Y6uS4TODabDYPBgM/nazWQYP81NyaTiaSkJGbOnMn111/P5ZdfzuWXX86JJ554yG41IToDc5wVlWKgtGUPzf4W0uwp9EvvTa+UfBKt8ejasM9IRTTMOiPJ1kQy49LJScgkLyGbvIRssuIySLOnkGCJw2xovxkMvo9SCk1TbNiwgXvvvZff//73B5Q//uEPPHL/n/nvP95m5RvfsGXOasKBMOXuGrbU78Ad9EjodGJdJnAcDgdZWVns3r0br9cL+z6ge/bsweFwkJiYGLuIEF2CN+RDZRhJG5mLN+InMy6dPqm9yInPwqg/9LUoxxMtohEJR3AG3GyrL2V7486Dlh1Nu2jytpCqEtjywRpMGNjTUsn2hp17X08JnU6p0wSO2jdBYG1tLbW1tbBvqpq6ujpaWlrQ6XRMnTqVVatWsXLlSqqqqvj2229ZvXo1vXv3Jjc3N3aVh83n87F06VJeeukl3n333dhqIdqNPxxgS0MJO7QyMopyyLCnUpxaSEZcaoceXXQGmlIoTSOvVw/OvvYCLrjxkkOXn/+UU849jZ1fbCbPkonVYGZPSyU7m/YQiARjVy86gU4TOJFIhJKSEh5//HGefPJJNE3jww8/5IknnuDDDz/E5/Nx3nnnkZWVxXvvvcdTTz3FM888Q2pqKlOnTiUzMzN2lYdN0zScTifV1dXU1dXFVgvRLiJahNLGPSzYtYSt1SUYvdAzPo8Ue3Js025Fb9BhtpgwW8w/WIxmMyqikWPPoFdyAQadnp1NZVQ4qwlFftzs1qL9dZrAYd/1CM3NzTidTq699lqysrJwuVx4PHv7ZQcMGMBNN91E37598Xq99OzZk+uvv55Ro0Yd1cl+h8PBqaeeyp133skNN9wQWy1Eu6hy1/LN7mVsqS/BV+WieV0NKZbENjxb033odXp6pRaQl5hDRGmUNO6i0ddMRJN73nQmnSZwjEYjw4YN47nnnjugXHfdddET/6NHj+aOO+7gr3/9K/feey8TJ07E4XDErk6ITq3Z18K3ZatZWbWeZGsiGf5EajdUyPUkR8GkN9IntZBUezLuoJedTWV45HxOp9JpAkeI44mmaYTDYUKh0AHF7fewunIjS8pWoRQMTx/IwORitMj/H33Z3iKRyAHb9X3lSO7Rcyw5zHaKUwqJMzuoctdS5aohqEnXWmchgSNEG9M0jaXffst7773HO++807q8+w7/mz+H+dsXUVq9i3CZl5oVe9iybjPsGzzTnpRSKPbeVG327NkHbl9Mee+991iwYAGqA7atrWTGpZGXmIVBZ2B3czktPiea6rgwFwcngSNEGwsGgzzy8MPcde/veeivD/Pnpx+JlvufepC/f/AvNlRvxeCHXau288pLL/PJF5/uvQ6lnY9yIuEIWkTj628X8cjfH2+1bd9fHuX1d/4NShGJdI3zITqdjsLkfJKtCbiDXsqdVfhCMilvZyCBs+/WCLt372b58uWsW7cutlqIHyUSieB2u5n+0xn86i93cttTv+e2p37Pr568i0sfuI4BpwwjPiGewcUDuXzWVdz66G+Ycs4pewOnnX+Ja5pCaYqxp4zn1kdui27bwcqv/nIH5866aN+y7bttbclmtNIzuQd2k5UKZzWNvmbCMoDgmJPAAbxeL/Pnz+fJJ5/kpZdeiq0W4oiYLWasdmu0BA1h6gJNeMN+suMy6JGci91hx2KzYTQf+SjLI2E0GbF8Z9sOViw2K6YuOptyTkImqfZkIkqjwlmNN7j3gnFx7EjgAImJiVx55ZX8+9//5oknnoitFuKohSNhKpxVNHgbSbImkB2ficN8eHfPFEfGoDNQkJSHw2yn2l237yin6wyAOB5J4AjRzhRQ722k1t2AQpGTkEm6IyW2mWgH6fZU0uzJ6HQ6Kl21uIPe/bffEceABI4Q7Wz/HTtbAk4yHGlkONK61Rxpx5JOp6NHQg4Ok51aTz3NficRJedyjhUJHCHakVJQ7aqlwduESW8iMy6dJKvcSbYjpdqTSd73mte46/DIuZxjRgJHiHbkDweodNXgCrr33agspdtNynms6XQ68hKziTPbqXHX0eJ3dplrio43EjhCtBOlFOXOKpr8LTjMdjLj0nGYZRqmYyHdkUqiNZ6IplHvb8Ib9sU2ER1AAmcfTdOIRCJd6loD0bn5I4FoF05uQjap9mSZKu0Y0ev05MZnEWdxUOtrxBWWbrVjQQIHaGho4OGHH2bEiBHMnDkztlqII1LlrcUd8pBkTSDdnoLV2DWvZzleZMalk2CJI6zC2HPisafKnYA7mgQOkJKSwm233cbSpUt57733YquF+NFsaXG49D58kQA5CZkkWeWOtMeaQW8gw5GGw2QjvX82CXnd+75Dx4IEzr6TiiaTCZvNhtVqja0W4kfrMb43jswEkm2JpNlTMBvNsU3EMZDpSMVhdpDYIxWVaMAfDsQ2Ee1IAkeINlbnbSS+KAVbsoOc+CwSLQly7qaTsJlsJFkTsFqs7HKVU+XZezt70TEkcIRoY8ur19IUcpJkTSDVloTZ2LHzpImD0+l0pFqSiDPaKG3ZQ5mzst0nTBX/nwSOEG2oxl3P+tqttARcZNnSiDM50MnxTaeSaI7HENTjdLsobdpDrbs+toloJxI4QrShRXuWU+2upX57NQYvmPVydNPZGHQGmkvrcVY1s71hJ7tbKmKbiHYigSNEG6lx17O6aiPuoJeKZTvx1riRSQU6IR00bK3GVdlMlbuOXU3leENyIWhHkMARoo0sLltJtbuOHvHZqLogQY+MgOqs/E0e4iM2bEYru5vLqXTWxDYR7UACB3A6nbz55pvMmjWL3//+97HVQvygOk8jqyrX4Ql6GJE1iCRTwt6ZO0WnpGmKHnE5ZNrT2NVczq7mcpTct6DdSeAAVquVESNGcNFFFzFjxozYaiF+0NKyVVS76uiRmEOflF7YTbbYJqKT6ZGQTU5cBs6Amz0tFbT4XbFNRBuTwAHMZjN9+/Zl6tSpjB8/PrZaiENq8DbzbcVqPCEf43uMJCsuDYNOvlqdncNkpyApjyRrAnuaKyhrroxtItqYfCuEOErLyldT5aolJz6TgRl9cJjk1tFdgV6no1dyPj0Ssyl3VrOzuUxuztbOJHCEOArNvhYW71mBN+RjQv5IsuLSMegNsc1EJ5UTn0mPxBxCkSB7Wiqo9zTFNhFtSAJHiKOwvGItFa5qshzpDMnsj90sRzddic1kpSAxj3RHKuUtVexqKottItqQBI4QR8gZcPP17mX4wgEm5I8iU87ddEkFybnkJ+ZS7a5jV3MZoUgotoloI/LtEOIIrapcz56WStLtKQzPHiQj07qoDEcqPRJzACh3VlPnbYxtItqIBI4QR8Ad9DJ/52ICkeDekWnxaXLuposyG8zkJWaTGZdGtbuWndKt1m4kcIQ4AqurNrCzqYxkWyJj8oZhM8p9lLqy3IQs8hNzqfM0sqtJutXaiwQO4Pf7WbFiBW+88QZz5syJrRaiFVfAw+clXxOMhBifN5Ks+Aw5uuni0uwp0W61Cmc1dZ6G2CaiDUjgAOFwmJqaGrZt20ZpaWlstRBRmlKsqFzL9oZdpNiSOCF/FFajJbaZ6GLMBhN5Cdlkx2dQ46mjpHF3bBPRBiRwgLi4OGbMmME999zDrbfeGlstBAAKRYvfyafbF6ApjRMLxpCTkCkj044TOfEZ9EzKo8HbRKl0q7UL+aYIcZgiWoSlZavZ1VROuiOFST3HYjbI/W6OF6n2ZPKTclH7utVqpVutzUngCHEYlFLUe5v4rOQrdDodUwtPIN2Ril6Obo4bJoOJnPhM8hKyqfM2sL1hZ2wTcZTk2yLEYQhEgizavZxKZw2ZcelM6jkOo8EY20x0cVlxGfRKzqfR20xJ427pVmtjEjhC/ICIFqG8pYrPdnyFyWDi9OLJJNoS0CG38zzepNqTKEjKBaDCVU21uy62iTgKEjhCHIJC4Qq6+WT7AloCbnql5DO5cLwMFDhOGfVGsuMzyE/KocHbxNZ6GbXaluRbI8QhhCIhttTuYEnZSuLNDs4fcIYMgz7OZTjS6J3SkyZfC9sbdhKKhGObiCMkgSPEQWhKo9bdwAdb56HX6RiVO5TBmf1im4njTIotiZ5JeYCOKlct1e7a2CbiCEngCPE91L4ZBRbtWUFp0x5S7SmcO+A0dDo5b3O8M+gNZMal0zM5jyZ/M5vrdsQ2EUdIAkeI7xGMBNnWUMpH274gzuzgjOIppDtSY5uJ41S6I4XilEKafU621pcQ0eROoG1BAkd0CkqpIyrtQVMa5S1VvLPhQ5RSDMzoy8m9J8Y2E8exZFsShck9AKh211HhrI5tIo6ABM6+nV0oFMLv9xMIBGKrRTsLhUI0NjZSU1Pzo0pTUxORSNv+8lQoatx1fLD5M/a0VJIdn8mlQ8+RyTm7GYNOT4YjlV4p+TT7nWyq2x7bRBwBCRygsbGRRx99lNGjR3POOefEVot2FIlE+OSTT+hdVEROTg45uYdZcnLo07cv27dvb9MjnQZvE3O3f8WS8lWk2pK4dOg50pXWTaXaU+ib1ptmv5PNddvRlBbbRPxIEjhAamoqd9xxB6tXr5bbE3QwTdPweDzkFOXx9Kf/4vkFrx9W+evH/yRCBJ/Ph6a1zY6g0dvMvB1f8+mOr0i2JXJW/1MZnCWj0rqrZFsCvVMK0KGjxl1PubMqton4kSRw9tHr9RiNRgwG6To5FoxGA/FJ8cQdbkmMR6dvuxFj1a46/rv5U+Zs/ZwESxyn9j6JqYUnyGwC3ZhepyfNnkJRSgEtARcba7bFNhE/kgSO6ER06HSHX9pCWAuzsXYrL656iy93LibBEscZxVOY0XeazJUmSLEl0S+9CGfAzcbabW3afdsdSeCIbknTNMqaK3lr3Qc8s+w1NtZuI92ewgWDfsL04skym4AAIMESR1FKAQadnhpPHWUtFbFNxI8ggSOOe0opguFgdG6seTsW8rdvX+axxf9kXunXuIMehmYP4JpR/8cJ+aOwmaytlvX7/bhcrh9VwmGZDuV4YNAbSLWn0DulAGfAzfrarbFNxI8ggSO6lEAkSKWrlpKWPfS/cBT/2fMx9y14krvmPcxv5z7Abz79E7+d+wC//exB7vjsIe6c92fumPdn7vz8Ye5b8CR/Xfoib2/8kOUVa2nyNVOY1IPLhp7HVcMvpG9a71ZHNkopdu7cydRp0xgzZsxhl0mTJrF8+XIikQiaJl0wXV2yLZH+6cW4gx421GyV0WpHQQJHdGoKRSAcZHdTOcvK17Bw17esrdrITlcZmSN7sNtfxbaGnZQ27WF3cwV7WirY3VzB7qZydjaXUdq0h11NZZS1VFLvaUJTGnkJ2UwvOombxl7JrNGXMj5/JGmOFEz61udslFI4nU62bN/C2bdcyEW3X35Y5cwbzye9Ryaapkmf/3Eg3uygOKUnRr2RGnc9ZS2VsU3EYZLAEZ3S3qAJUNKwm8VlK9hYt41KVzUtfic6nY4kUzxl3+xg5asLWfL3eSx6ci6LHv+Ubx79hG8e+4RvHvuURY9/yqK/zGXRXz7l64c+4ps/f0z2zjiuGnYhM/qezLDsAWTHZ2A32b53NJpSCk3T0Ol09BnSj37DBxxWKRrcF3ucfd+MbKKrM+gNpDpS6JVcgCvoYX3Nltgm4jBJ4IhOJxQJUd5SxYqKdWxrKKXR14xep6cwOZ9xecMZkzeMQlsPyhZs54RRE/i/n/4fl115GZddfQWXX3Mll199BZdfcwWX/ewKLv/Z5Vz+syu45GeXkZ2SSbjeT6Y9jWRbImaDOfahD0pvMBx+0euhjUbRic4h0RLPwIw+eINe1tVskbnVjpAEjug0FAp30MPmuu1sqttOracBHTr6pxUxKmcIxamFZMdnkWJLwm6wEmjx0bN3TwaOGsLgMcMYMnYYQ8YN31vG7v3/4DHDGDx2b0nJTCUcDks3l/jRHGY7fVILMRlMVLvqKGuRi0CPhASO6BTCWoR6bwPrqrewu6UCfyhAQVIuw7MH0SulgDRHCnaTDYO+9UfWYNBjMBoOq+hjlhXicBn1BtLsKfRKzscT8rKuZnNsE3EY5BsojjmTw4I+3cy2pp3UeuqxGCwMzOhDn9ReZMalyTUxolOItzgYlNkPX8jPuprNhKVb7UeTwBHHVIvfSXO8l9yTeuMOe0mzpzAosy/5SbnEWRxtNqOAEEfLZrLRJ7UQs8FElauGchmt9qNJ4Ihjps7TyMI9y1jn2UZaYSZZjnT6pxeRFZeB2WCKbS7EMWXUG0hz7O1W8wb9rJVutR9NAkccE/XeRr7Z/S3zdy5mV8VufKVOChN6kGpPRi9HNaKTijPbGZo1gEAkwJqqTYQjMqPEjyGBIzpcg7eJRXtWsGDXUgLhIGneeKq/3UWCOS62aZsLh8P4/f7DLnJDPvFdNqOVvmm9sBqtVDqr2SNzq/0oEjiA1+vlq6++4m9/+xuvvfZabLVoQ42+ZhaXrWR+6WL84QDj8oYzJL4v7qoW+J6LL9uK0jQ0TfH1119z//33c/fdd/9guffee3nuuedg32SfQhj0BtIdqRSl9MQX9rOicl1sE3EIEjj7aJpGJBJp81sWi/+vydfC0rJVzC9djDfkZ3yPEUwtPIFMR1ps0zYXCUfQtAi1rno2Vm9j02GUjVVb2VZdgkIRka4TsY/dZGNU7mBCkRCrqzbiD8tR8OGSwAHsdjtTpkzh1ltv5corr4ytFm2g2e/k2/LVfFG6CHfQw9i8YUzrNZHchKzYpu1CKYXSFP1GDOC8WRdx0S2X/WC58KZLmHreqQAyYaOIshjN9E3rTbwljipXLTub9sQ2EQchgSPaXYvfxbLy1XxR8g1Ov4vRuUM5ufdEeiTmxDZtdwaDAbPFfFjFZDFjNMloOdGaXqcn2ZbIgPRiQpEQS8tWxTYRByGBI9qVK+BmecUaPi/5hiZ/C6Nyh3By74kUJOXFNhWiy7AaLYzMHYymNNZWb8YT9MY2Ed9DAke0G3fQw4qKdXxW8jUNviZG5Azm5N4nUpicH9tUiA4XDocJhUI/quwfPGLSm+iT2oskWyJ13ka21u891ycOTQJHtAt30MvKyvXM3fEV9Z5GhmcN4tTeJ9ErRcJGHFtKU6AUa9as4e233+bNN988rPL2228zf8GC6C0r4i1xDMsaiKZFWFy2UiaFPQwSOKLNeYJeVlau4+NtX1LjrmNY1gCmF0+id2rB9953RoiOFAmH0TTFV0sW8uTzf+Uv/3zqB8vjzz3JfY/8iXvuvptgMAiA2WBiVO4Q0OlYV70ZZ8AlRzk/QAJHtClPyMeKynV8uPULat31DM0awGnFkylK6SlhIzoFTdNQmsYJMyZx88O38eu/3PmD5ZeP3c7Z156Py+UiFAoBYNQbKUrpSbo9FWfAzfrqrWhylHNIEjjioDRNIxwOH3Zx+z2sKF/LnC2fU+dpYGjWAGb0nUZxaqFMwik6HaPJiMVmwWK3HlYxWw68YZ/VZGF03lCUUiwpWyHXa/0ACRzxvfx+P98uW8bChQsPqyxd+S2fb/qK/276lDpPA8OyBjCz3yl7j2wkbMRxyqg3MiZnKAa9gfW1W2nytci5nEOQwBEHUEpRXl7OT37yEy6/9gqunHXVQcsV113FT6+5lJ/dfQPPLXyN3XVl9Evqxcw+p9ArOV/CRhzXDDo9Bcl55MZnEggHWVm1gbAmRzkHI4EjDqCUIhAIEIqE+P3z93P/648dpDzKH155gKv/cStjr5lCck4qtesq6KcroEdCtoSN6BZMeiMnFIxCp9PxbdkqApG953jEgSRwxEHpdGC127E5bAcUq8MKZj2l3nJ2uSvQlEauI4v6xWU4y5okbES3odfpGZs3HLPexNaGUuo89TIV0kFI4HQjSqnDKpqmHbIfWimFN+hjddVG9jSXg4LitF4UJxdiN9lareNwixBdxfd9djMcaRSl9ARgWfla/KHAAW2EBE634fF4qKqqoqys7AdLeXk5VVVVexeM+bIopXAF3SwrX021uxaDzsCQrH4Up/TEarSAUjQ2NlJeXn7Aeg9WGhoa9q+91WMJ0ZkoIBgMfu9nu7ysnCJrPjp0LN2zkt0Ve6J1NTU10aHU3Z0ETjcQDod55pln6Ne/P0XFRT9Y+vTtwxkzzkBBq9s1KNTe+9nsWUmjrwWLwcyo3CHkJ+ZiMpiIhEJoSvHb239L/wGH91j9B/Tnl7/6JUopIhHphhCdk9IUkVCYLVu3Mmz4sAM+x8V9ipl15lUEPD4q3DVMPecU+vTvQ1FxEQMGDmTZsmVyTyUJnO4hHA7jcrkYfco4/jb3Bf654LVDlme+eJk7/vFHULS6rqDaWceiPStwBz3EWRyM7zGSzLh0DHrD3seJaChNceltV/G3uf86YL3fV/726b+4/DdXo5RC0+ReRKJzUkoRDkfILczlsf/97YDP8T8XvMbf5jxPXlouep2OSx64lqc/+xd//fifxKXE4/P5JHAkcLoXk8mEPc6OPd5x6BLnwGKzRZdTSlHauIel5asIRoKkOVKY0GMkybZE9LoDP0JmiwV73Pes93uKLc6O2WKJXYUQnZJer8d2iO9Qz9Qe6HUG6vyNGK1mbHF29IYDvyPdlbwS3c6PGz0W0SJsrt/O2upNRFSEHok5jMkdRpzZcfCRaLof8zCH3VCITuFQn9gsRzpmgwl/OECDr4mIHNW0IoEjDkJHBI3t7j1srS8loiIUp/ZiaOYAbCbrwcNGiG7MaDCSHZ+BXq+nyl1LSJPBAt8lgSO+l8luot/5I6jy1aIpjUEZfemfXoTFZJFJOIU4hNyELAw6A9XuOgLhoAyL/g4JHHGAoBaiigYKJhajA4ZlDqB3SgFmg0miRogfkGJLxmGyEdHCNAZaCCsZDLOfBI5oxR8OsL1xF7WhBswWM73i88lPysNkMMU2FUJ8D6PeQFZ8BgadgTpfg3SrfYcEDtDS0sKLL77IRRddxC233BJb3W0EI0H2NFewq7kMn8fHjo83kG1Lx2QwxjYVQhxCbkImRr2RxkALepsBnUH6BpDA2ctut3PKKadw++23M2vWrNjqbiGshalxN7CjcReaFiFNS2D3V1sx6SRshPix4i3xJFjiUShS+mZhssvQfyRw9jKZTPTo0YMRI0YwcODA2OrjnqY0mnwtbK3fQTASIsuRTpYpnYDTH9tUCHEYDDo9WfHpmPRGsob0wBJvjW3SLUngdHMKhSvgZltDKe6ghxRrIn1Se2ExHHh3QyHE4cuKS8dkMJFUkIrPEJT75EjgCH8oQFlLFfWeRhwmO33Se5NgjY9tJoT4kRxmOwkmBxabhV3OcjwhX2yTbkcCpxsLaxHqvY3saanAaDBSmNyDdHuKXGcjRBvQ6/SkWpMx6o1saSzBFXTHNul2JHC6KYXCGXCxu7mcUCREhiONvMTs6EScQoijl2pNxqAMVLiqqfHUE+rmdwOVwOmmfCE/lc5qGnzNxFviKUzqgdUoJzaFaEt2oxVvjROPx8OOhl3d/ihHAqcbimgajd5myp3VmPRGeiRmk2JPim0mhDhKep2e+s1VBD0BNtVto8nnjG3SrUjgdEOeoIdKVw3+cIA0ewp5Cdnfe5sBIcTRq91UScQTorylmmp3HcFu3K0me5luJqyFqfc2Ueupx2G2k5eQhc0kXWlCtBdPjZNkQwKa0ihp3I0z4Ipt0m1I4HQzzoCLKvfeGaDT7SmkOVJjmwgh2pDSFL2TC4gzO9jWUEpzN+5Wk8DpRoJaiHpvIw3eJhIsceQmZGGWSTmFaHdFSQXEmx1UtFRT523otheBSuB0I66Qh1pfI3qdjnRHGik2GSggREfIcKSR4UglpIXY01KJK+CJbdItSOB0EyaHmZBVwxVyk2RNICc+U665EaKDmPRGilMKSbDEUdKwiyZfc2yTbkECp5tI7JFCYmEKBr2BVHsyiTJ9jRAdqk9aLxIt8exuLqfe24imtNgmxz0JnG7AHw5gznaQ0juDREsCGY50GQYtRAcKh8Nk2dNJsSbhCnooa66ixeskFAodUMLhMJp2fIaR7HW6gQp3NbVaI474OFJsiSTZEmKbCCHawf7gWLRoEXM/+pS6kmpUQGP1znW8P+9D/ve//x1QPvzwQzZt2oRSKnZ1XZ4EznEuEA6yvXEXO5vLiTc59s7tJEc3QnSIcCiMUopX/vMa9z72J5Z8uQif08vqnet5+rVnuPuRe7nnkfui5Y9/vpdbfn0r/3rhBUKh4+8C0aPa85SUlFBXV3fA4Z+maVRWVlJWVtbq76LjVbqq2d64k6aWJswBA4lmOXcjREeJRCIoTXHe9Rfxm6d+xxU//xk9evQgPjORn8w6l9ue/h23//2P0fKbp+5i7PQJeNxuIpFI7Oq6vKMKnIcffphPP/2UYDDY6u+BQIA33niDF154odXfRceKKI1t9aXsbCqjeXcDzaX1GHQyMk2Ijma2mLHarSTEJ5BkT8RoMOFVfjSTDqvdFi0Wuw2j6fi9Nu6IAsfr9eJ0OqmtraWhoQGn09mq1NXVUVtbi88nNxw6lpp8Lexo3E2z34mnvIXG0rrYJkKIDpZkTcBqtOAMuPB1s5uyHVHgfPnll7z55puUlZWxfPly3n77bd58803efPNN3njjDZ5//nm2bdtGTk5O7KKigygU2+pL2d1cToY9lRRdAiF3ILaZEKKDJe4LHFfAgzfkOy4HBxzMEQXOG2+8wUMPPcSOHTv47LPPePTRR3nooYd46KGHeOSRR/joo48YOHAgp59+euyiooMEwkG21ZdS6aqlZ2IePRPzYpsIIY6BOLMdu8mKpjTcAQ+BcPf5IXjEgbNr1y5mzZrFM888w7Zt29i1axe7du2itLSUVatW8cADD9CnT5/YRUUHKW3cw+6WcqxGM4WJPciwyySdQnQGep2eRGv8vm41N95u1K12RIGz3yOPPMK5556LTqfD7/fj8/laleNxWF9XoCmNTXXbKWuppCi1kF4p+eh0uthmQohjJNGagM1kxRl04w35Y6uPW0cVOJqmsW7dOp555hluu+02brzxRn7+859Hy7vvvhu7iOgAtZ4GdjbtwRv0UZxSQEFSbmwTIcQxlGBJwGq04g368AS9RLTjbwj09zmqwHn33Xe58sorefrpp9m2bRtNTU00NzdHi4xSOza21JdQ6aolPymXnsn5mA3m2CZCiGPIajQTZ7Zj1BtwBbtPt9pRBc7nn3/O5MmTmTNnDh9++CH/+c9/ePvtt6PliiuuiF1EtLNwJMz2+lJq3XUUpfakR6KMFBSiM0qwxGMz2XAF945W6w6OKnCCwSBFRUXk5ORgNpsxm82YTKZoMRjkIsOOtrO5jEpXDRajmZ5JeaTZk2ObCCE6gURLHHaTFVfAjTvo7RbDo48qcE488UQaGhrYs2dPbJU4RjbX7aDaXUfvlALyErNlVmghOql4Sxw2k5WQFsYT8hLSjv9BVke1N9Lr9Xz22Wfccsst3HLLLdx7773cf//90fLZZ5/FLiLakTvooaRxF02+FopSCsmNz4ptIoToJAx6A3FmBxaDGW/Q2y261Y4qcCoqKjAajUQiETZv3sySJUtYtGgRixYtYvHixezcuTN2EdGOttXvpMZdT5o9hYKkXBxmR2wTIUQnEmd2YDNZcQe9eIMSOId07bXX8tJLL/Hyyy/z3HPP8Y9//CNa/v73v3P++efHLiLaiVKKjbVbqfU0UJzak5z4TPRy7Y0QnVq8xYHNaMUT8uEJ+eA4P49zVIGTmZlJr169DlpSU+Xq9o5S521kT0slgUiQ4tRCMuLSYpsIIToZu8mOzWglokXwhnwEI8f3eZyjCpwXX3yRW2+99aDlv//9b+wiop1sry+l3ttITnwmuQlZWIxy7Y0QnZ1Rb8BhtmM2mPAE9x3lHMeOKnACgQAejydaXC4XO3fuZP78+axevZpAoOMnpfvkk0+YNWsWP//5z5k/f35s9XFJUxqb63fQ5GuhOLUnGY40dEh3mhBdQZzZgd1kwxvy4g15Y6uPK0cVOD/5yU/45S9/GS2/+tWv+OMf/8g111zDgAEDsFqtsYu0u+TkZPr164dOp6O6ujq2+rhU466n3FlNRGn0Ti4gxZYU20QI0UntnT3ahje0d5objuPTOEcVOD169GDgwIHRMmjQIEaNGsXMmTNJS0tjx44dsYu0u0GDBjF16lTy8rrPdPxb60to9DaRG59JdnyGdKcJ0YXYzTZsJithLYI37Cd4HF+Pc1SBczCRSITm5mZaWlpiqw4qHA6zbt06HnvsMW666SYuu+wyli5dSjgcbtVu6dKl3HvvvVx77bXcfvvtLFiwALfbHa2Pi4sjLi4Ovb5dnlqnoymNzXXbafa76JvWmzRHSmwTIUQnZtQbcZjsmA1mfGE/vsjxO3v0Ue2VP/30U/7+97+3Ko8//jh//vOf2b17N8XFxbGLHFQ4HKasrIzS0lIsFgv//ve/2b17N5qmRdusX7+ep556ij179pCbm0tdXR3PPPMMy5YtO6JbISilCIVC0dsp+P3+Y3Le6WhUuWopd1ajA3qnFJBkTYxtIoTo5Bz7utV84cBxfQHoUQXOli1bWLx4cauyevVqdDodP/nJT5g8eXLsIgdlMpkYOHAgV155JbNmzfreI5R3332X5uZmzj//fG644QZ+/vOf43a7mT9//hGdr2lsbOTNN99sNbLu/vvvj23Wqe09unGSm5BFVlw6ZoMptokQopNzmO04TDb8ET/eiB+O02voDtyr/wiTJ0/m8ssvj5YrrriCq6++mptvvpkLL7yQ/Pz82EUOymAw0LNnT8aMGUNhYWFsNZFIhAULFjBixAiGDx9OZmYmI0eOZNiwYZSWllJRURG7yA8yGo2kpaVRWFgYLV3p3E9Ei7CpdjuugJv+6UWkyESdQnRJNpMVm8lKREVQJjDZjs/zsEcVOMOGDWP69OmMGTOGnj17kpGRQY8ePSgsLCQ5uW13fh6Ph5qaGnr06IHNZgNAp9ORn5+Px+PB6XTCvnM8r732GgsWLOCDDz7g/fffp6mpKWZteyUkJHDqqafyq1/9Klp+9rOfxTbrtGo89VS4qtHpdPROKSDBEhfbRAjRBRj1BuwmKya9CXOiDXva8fldPqrACQQCLFiwgCeffJI///nPPPbYYzz00EM8/fTTLFu2jGAwGLvIEfP5fGiahs1ma9XdZrFYCIfD0XM4Op2OtLQ0TjzxRIYMGfK9XXP76XQ6jEYjFosFi8USvcVCV7GlbgeugJvc+CwypTtNiC5Lhw6byba3JNlxZMTHNjkuHHxvfBiWLVvGK6+8wqZNm0hLS6O4uJjExESWL1/O66+/zoYNG2IXOWJWqxW9Xo/f7281kCAQCGA0GjGZ9u5sx44dy0033cRdd93FnXfeycyZM9v8aKsz0JTGptrtuINe+qX1JtF6fH5Ahegu7CYbdpMNa7IdR0ZCbPVx4agC5+OPP0YpxfXXX8+9997L3Xffzb333svll19OXV0dCxcujF3kiMXFxZGRkUFZWVn01tVKKcrKynA4HMTHd68dboO3iT3OShSK3qk9iZfuNCG6NJvJit1kxZJgw5y09z45x5ujCpzy8nIGDBjA0KFDsdvtAMTHxzN27FhycnKoqamJXeSglFIEg0Hq6+tpaGgAwOVy0dDQgMvlQqfTMXnyZFatWsXatWupra1l9erVrFmzhsLCQnJzc2NXedj8fj+rVq3i7bff5uOPP46t7pS21JfgCrjJdKSTHZeOxdB1ugKFEAcyG8zYTFbMZjMBfYiWgCu2SZd3VIGTmJhIVVUVVVVV0Qs0Q6EQe/bsoaWl5UcddWiaxs6dO/nHP/7Bs88+i1KKzz77jOeee465c+fi9/s5//zziY+P5913343eDsFutzNlyhSys7NjV3nYwuEwFRUVrF27ls2bN8dWdzpKKTbUbMUb9NE/vYgE6U4TosvT63TYDFasBgvOgJs6794f3seTowqcSZMmUVZWxiuvvMK7777LnDlz+M9//sOrr75KIBBg1KhRsYsclKZpuFwutmzZwrZt27joooswGo1s27aNiooKwuEwQ4YM4Re/+AXZ2dmUlpaSlJTEDTfcwNixY6PncI5EXFwcM2fO5IEHHuDXv/51bHWn0xJwUdq0h7CK0DetN3FyozUhjgtWgxmb0Yoz4JLAiXXaaadx+umns3PnTp5//nmefvppXnrpJZqamjjrrLM44YQTYhc5KJPJxKhRo3jjjTcOKLfeeisJCXtPoo0fP5777ruPl156iccee4wpU6YQF9e9zl9srS/BGXCRakuWWxEIcRyxGC3YjRacQTd13ia04+yGbEcUOE6nk9WrV+P1ernqqqv4y1/+wu9+9ztuuukmfv/733PLLbcwaNAgdMfp1bLHklKKddVb8IcCDMgoJt4SJ7ciEOI4YdGbMWPGG/DS4Gs67qa5OaLAWbp0KU8++STr169H0zQKCgqYOnUqZ555JieccAKbN2/m+eef7xLnQ7oab8jHtoZSQlqYAelFxJn3DtYQQnR9Br0BzRfG3+LDGXBR466LbdKlHVHgzJs3j+LiYoqLizEaja3qzGYzI0eOxGg0smzZslZ14uhtb9hJi99JgiWO/MQ8GZ0mxHHG3+zFU+ekxe+i2lUbW92lHVHg7N69m7y8PFJSvn8q/NzcXKxW6xFNqHkshMNhqqqq2LRp0zG5h8+PsaZqI4FwkIEZfYi3OKTbUojjjK/Jg6fWhTPgolqOcMDr9RIMBlEHOaGlaRp+vx+/v2vc18HtdvPBBx9w55138uijj8ZWdxrBcJCNddsJaiEGZfTFbto7p5wQ4vgRaPHhrXfjDnqp9TQQ0SKxTbqsIwqcrKwsysrKohdofpdSivLyclpaWg56BNTZJCUlMWvWLN5//32ee+652OpOY1dzGU2+ZmxGK71TCrAaLbFNhBBdXNAdIOQMoNt3CUSTf+/ExMeDIwqc8ePHs2jRIhYvXkx9fT1erxefzxed0fnTTz+lpqaGQYMGxS4qjsLa6s0EIyH6pRcRJ91pQhyXlFLEGe0kW5NwBzzH1cCBIwqc8847j8LCQu6++25+9atf8fLLL/Puu+/yz3/+k2uvvZaXX36ZkSNHMmnSpNhFxRHSlGJ9zRZCWphB6X3k6EaI41i8OY40WzKuoAQOSUlJ/PnPf+byyy/n22+/5fbbb+eGG27g7rvvprKykl//+tfceOON3e6CzPZU72mgrKUKUPTLKJLAEeI4lmBxkGZPliOc/dLT0/njH//IqlWrWLlyJfPnz2ft2rUsWrSIWbNmHZe3BDiW1lRvIqzC9E4uIMmagF53xG+dEKKTizPHkWpNxhPyUuNpIPKdW7J0ZUe913I4HPTp04fRo0dTWFiI1WqNbSLawNrqjYS1CIMy+8m1N0Ic52xGC8nWREx6I66Am3pvY2yTLumoA0e0P1/Qx6a6HUS0CIMz+2GR7jQhjms6dCRY48lwpOEJeqk6Ti4AlcABGhsbefzxx5kwYQIXXHBBbPUxpVCsr91KMBIiw5FGTnwmRr0htpkQ4jiTYHGQEZeKO+ihyn349xbrzCRwOvl1OErB6qqNaFqEwVn9ZGZoIbqJeEscmfuOcKpdx8fAAQkcQK/XExcXR3p6eqe7WDWshVlbtRFNKYZm9sekP/L7/gghuo54cxwZcWl4w35qPQ0EI6HYJl2OBE4npinFzqYymgNO7CYrxSmF0p0mRDdhNVpItiVhN9lwBz3Ueupjm3Q5EjidmKY01lRtJKI0+qUXYTfbZHYBIboJnU5HgiWOdEcq3pCXSmfXP48jgdOJRbQIq6s2oJRiWPZAjPrWt4IQQhzf4sx2Mh1peEP+42LmaAmcTkpTijpPA+XOKgw6A4Mz+kp3mhDdTJzZsS9wfBI4ov1EtAib6rYRioQoTO5Bij1ZutOE6GYcZjvpcakEwkHqPQ0EI8HYJl2KBM4xpGkagUAAr9d7QHF6nKysWA/o6J9SRND//9t5PB48Hs8ByxyqBINd+4MqRHdkMZhJtiZiNVpwh7w0eJtim3QpEjiAy+Vi9uzZ/PrXv+bBBx+MrW4Xmqaxdu1arr32Wi699NLW5bJL+fkvbmJbfSlKabz00D+54vIrovWXXX4Zl1122YHLHaRcddVV/O9//0MphVLHx5xMQnQHOp2OOLODNHsK/lCAqi7erSaBA5jNZoqLi5k8eTLjxo2LrW4Xmqaxe88evlqykMS+aaQNzomW1EHZqHwznpAPu9FG3xH9SR+cS9rgHGw9E/j8y88JJShSBma1Wu5gJbl/BpYUG5rS0I6TSQCF6C4cZhuZjjR8YT/VXXyKGwkcwGKxMHjwYGbOnMnUqVNjq9uFUopwKIQt3sGJP5nC5LNPjpaJMydTMLYInV5HRlw6E0+bFK0bP/1ELDYrw04cwaQzp7Za7mBl4hmT6VFcAEod9LbgQojOyW6ykxmfhj/k7/JzqkngHGM6nQ6jydiqYNDR4G9Gh47shAyMZlPrenQYjK2X+aGilxFuQnRJDrONDEca/nCQGnc9YS0c26TLkMDpZDSl4Q568IZ8mAwmUm3JyNg0Ibovq9FCqj0Zo8GAK+Cm2eeMbdJlSOB0MhFNo97biEKRZE2QyTqF6Ob0Oj3xZgcptiT8kUCX7laTwOlkIipCnacRvU5PpiNNrr0RQmAz2ciKy8AfDlDp6rpT3EjgdCJKKQLhAM3+FvToyXCkxjYRQnRDdpOVrLh0CRzRdiJKo9nvJBQJYzdZibfExTYRQnRDdpONrLh0AuEg1e46tC56PZ0ETicS1sLUeRvR6/WkOVIwyMgyIQRgMVpId6SgA5p8LbgC7tgmXYIEDhAIBFi3bh3vv/8+n3/+eWx1hwlpYRq8TRh0ejIcabHVQohuyqg3EG+JJ9GaQKALDxyQwAGCwSAlJSV8/fXXLF++PLa6Q2hKwxv04gl6MelNpNiSYpsIIboxm8lCVlw6wXCwy57HkcAB4uPjOeecc3jssce48847Y6s7REgL0+BrBiDBEofVaIltIoToxqxGK5lx6QQiITnCEUcnHAnT4GnEqDeQ7kiV4dBCiFasRguZcWkEI8EuO6eaBE4noJTCHw7Q5Hdi0BlIc6TENhFCdHNWo4UMRxphLUKdt7FL3htHAqcTiGgRnAE3oUgIq9FCojUhtokQopszGYyk2JIwG8z4wn7qu+C9cSRwOoHgvtFpRr2BVHsyBp28LUKI1nTosJksZDpSCUZCVDm7Xrea7NmOOUUoEqLR14RRbyTNLt1pQojvZzFYyIrLIBQJUeGqjq3u9CRwjjFNKXxhP66AB6PBSKo9ObaJEEIAYDGayYxPIxQJU9UFh0ZL4BxjYRXGGXSj1+mINzuwmayxTYQQAvYFTlZcOiEtRLWrFkXXuqGiBM4xFtLCtASdGPV7TwgKIcTBWAxmMuPS997GxNeMN+SLbdKpSeAcQzqdjpAWpjno3tedJoEjhDg4g95AgiWORGs8YS1MZRcbOCCBcwzpzQZMiRYCkQAmvYlkqwSOEOLQzAYz2fGZhCNhKp1da+CABM4xZImzklyYjlFvJNEaj9FgjG0ihBCtmA0msuPTCWlhKiRwup7GxkYeeeQRRo8ezdlnnx1b3W4s8VaSC9MwyfkbIcRhMhvNZMVl7O1S62Ij1SRwgOTkZG6++WbmzZvHa6+9FlvdLhQKo8NMUs80TAaZHVoIcXgsBhPZ8RmEtDCV7poudTM2CZx9J+9tNhtJSUnEx8fHVrcLXzhAQ6gFs92CxWAm0dIxjyuE6NpMehPp9lQMOgPeoI8G795Z5rsCCZxjxB30UO6qxGQwkWCOQ6+Xt0II8cN0Oh02k5UMR+q+kWpd5zyO7OWOEVfQTZmzEpPeSKJZjm6EEIdv78CBTMJahHIJHHEoES1Cs99JladOAkcI8aOZDEZy4jOIaBEqnFWx1Z2WBM4x4A56qHBW4/P5CTsD2IwynY0Q4vCZ9CZy4jMJqwjlEjjiUJr9LnY1lxP0+GnZ04he7u4phPgR9napZaBpEeo8DfjDgdgmnZIEzjHQ4neyp7mCoMtP08662GohhDgkvV5Pki0Rh9lBIBKkxt019iMSOB0sGAlR722kwdtEyBOkeXdDbBMhhDgkHTosBjNZ8elElNZlBg5I4HQwZ8BFhbMavV5Pgt5BwOmPbSKEED/IqDeSG5+JpmmUt3SN8zgSOB2s2e+k3FmNw2Qn25GJ0rrW/SyEEJ3D3pFqWfuOcCRwxPdo9jkpd1YRZ7KTF58VWy2EEIfFqDfuHTigIlQ4q1Gq8/94lcDpQIFIkHpvI81+J/GWOHLiMmKbCCHEYTHqDWTGpQM6mv1O3EFvbJNORwKnAzn9LqrdtRj1BjIcqcSZHbFNhBDisOh1+r03Y7PsvRlbtbvz34xNAqcDNflbqHDWkGCJIy8hGx1y/Y0Q4sj9/261rjFwQAKnAzX5Wqh01ZBgiadHYk5stRBCABCJRAgEAj9YIqEwGfY0NKUoa6mMXU2nI4ED+Hw+li5dyssvv8x7770XW90mAuEg9Z6952+SrAnkyoABIUQMpWkoTbFu/XqeeOIJHn300UOWp//6NGu+XkFEi7B250bC4XDsKjsVCRxA0zRaWlqoqKigpqZ97qDXEnBS7a7DqDeQ7kglwRIX20QI0c1pEY1IJEJlfRVfrf2GBWsOXb5Zv4SamhqU0tjVsAef3xe7yk5FAgdwOBxMnz6d3/3ud/z85z+PrW4TDd5mqly1JFkT9p6/kfnThBAxNKVQmqJocDH/94sruPKOaw9ZLr/tGs44bybxxjgad9YRCAY79fBoCZwO0uhrpsq9P3CkO00IcXAGgwGL1YzZajlksVgtJNjj6WnLYeM7Kzr9RMASOB0gGAnR4G2k2d9CkjWR7Pijvf6m8/6CEUJ0LL1eT5o5GWdZI3qdvlP3nkjgdIBmv5NadwNGnZE0ezIJFrnhmhCi+5HA6QCN3iZqPPUkWhPIis/o1L9AhBCivUjgdIAGXzO17nqSbAlt0J0mhBBdkwROO4toERq8TTT4mkm2JpAt86cJIbopCZx21hJwUe9tBBQptiSSrYmxTYQQoluQwGlnDd4m6twNJFoTyIxLR6+Xl1wI0T3J3q+d1XsaqfU2kGJLJCsuPbZaCCG6DQmcdqQpjXpvI/WeRpJtSRI4QohuTQKnHXmCXhq8TQQiQVKsiaQ5UmObCCFEtyGB047qPA3UeRtJsiaQEZeGUW+IbSKEEN2GBE47qvM2Uu9tJMWeTIYjLbZaCCG6FQmcdlTvaaTB20SqLYnMOAkcIUT3JoHTTgLhIPW+JlwBD8m2RNLtKbFNhBCiW5HAaSf13kaafC04zDZS7clYTJbYJkII0a1I4LSTOm8jjb5mkm1JpNlT0CETdgohujcJnHZS72mkyddMqi2JNHtybLUQQnQ7EjjtQFOKOk8DTb4WUu3JpMn5GyGEkMBpD06/kyZfM0rtnbAz0So3XBNCCAmcdlDnaaTJ7yTJmkCqPRmj3hjbRAghuh0JHMDpdPL666/zs5/9jDvuuCO2+ker9dbT7G8h1Z5Cik3O3wghBBI4e1mtVsaPH8/PfvYzzj///NjqH63Ovff8TZo9mVQZMCCEECCBs5fZbKZ3795MnDiRUaNGxVb/KP5wgHpvE56Qj1R7Mqn2pNgmQgjRLUngtLFGbxNN/hZsRgsp9iSsRmtsEyGE6JYkcNpYjbueFr+TVFsyKbYk9Dq54FMIIZDAaXu1ngZa/C7SHCmk2KQ7TQgh9pPAaUNKKeq8DTgDbtLsKSRbE2ObCCFEtyWB04Y8IS+NvmZCWogUexLx1rjYJkII0W1J4LShek8jTr+bOLODZGsiFoM5tokQQnRbEjhtqMZTjyvoJs2eTJI1IbZaCCG6NQmcNlTr3n/+JpVECRwhhGhFAqeNaEqj1lOPO+AhzZEiRzhCCBFDAqeNuINemnwtRJRGqi2ZOLMjtokQQnRrEjhtpNZdjzvoIcESR5ItAZNBZogWQojvksBpIzXuOlxBDxmOVBItcv8bIYSIJYHTRqrddbgDHtIdqXLDNSGE+B4SOG0gomnUehrwhLykO1JJkCMcIYQ4gAROG3AF3DT5WtCUIs2eQpzZHttECCG6PQmcNlDrqccb8pFiSyLRGo9Bb4htIoQQ3Z4EThsIqwgp9iT6pvUixSYTdgohxPeRwGkDA9KLuXnslVw14kJ6JObGVgshhJDAaTsmg4k4swOzwRRbJYQQQgJHCCFER5HAEUII0SEkcIQQQnQICRwhhBAdQgJHCCFEh5DAEUII0SEkcIQQQnQICRwhhBAdQgJHCCFEh5DAEUII0SEkcIQQQnQICRwhhBAdQgJHCCFEh5DAEUII0SGOu8ApKyvjueee4+abb+bpp59m+/btsU2EEEIcA8dV4Giaxueff05VVRUTJkygvr6e+fPnEwgEYpsKIYToYMdV4NTV1VFeXk6vXr0499xzGTRoEHV1dZSVlcU2FUII0cE6TeCEw2E2bdrE3//+d+644w5+/vOfs3LlSiKRSKt2K1eu5NFHH+WXv/wl9913H4sWLcLj8cC+wDEYDKSnp2OxWMjMzMRkMlFVVdVqHUIIITpepwmcSCTCzp07Wb9+PS6Xi2effZYdO3a0CpzNmzfz9NNPs3HjRkwmE9u3b+fZZ59l5cqVhEIhAoEAOp0Ok2nvbZ7NZjM6nY5gMPidRxJCCHEsdJrAMRgM9O3bl0suuYQbb7wRvf7ATXvvvfeorKzk3HPP5Re/+AU33HADdXV1fPnll9TU1GCz2dA0LXrOJhAIoJTCarXGrgoApVQ0qPaXowmnSCRCIBDA7/cfVgmFQrGrEEKI49aBe/VjxGg0UlRUxIknnkhxcXFsNZFIhC+++IIRI0YwevRocnJyGD9+PMOHD2fHjh1UVFSQmZlJJBKhpqYGr9dLRUUFwWCQ3Nzc2NUB0NLSwpw5c7jnnnu45557uO+++3j66adjmx2WSCTChx9+yAMPPsi99977g+VPf/oTb7/9NqBQmopdnRBCHHc6TeD8EK/XS3V1NQUFBdjtdgB0Oh0FBQV4PB5aWlpISUmhT58+lJSU8Nxzz7F+/Xry8/PJycmJXR3sO8IJh8PRoxu/33/EI9pCoRCzZ8/mg88/ZO2ejayv2HzIsq5sEzvrdqOUIqK1Pk8lhBDHoy4VOJFIBLvd3qq7zWq1EgqFCIVC6HQ6Jk2axNChQ/H5fAwaNIiTTjoJs9ncal37JSUlcc455/Dggw/y4IMP8sADD/DrX/86ttlh0TQNn8/H0BOGc+FNl3DxrZcfslxw408Zd8pEUKA0LXZ1Qghx3OkygWOxWNDr9QQCAbTv7KCDwSBGoxGj0QhAdnY2F154IXfddReXXHIJPXv2/M5aWts/wMBqtUaLxWKJbfajGIxGzBbzYRWDae82CyFEd9BlAic+Pp60tDTKy8vx+/2wr0usoqICu91OfHx87CJCCCE6kU4VOKFQiKamJpqamgDweDw0Nzfj8XjQ6/WceOKJrFmzho0bN9LQ0MDGjRtZs2bNIc/TCCGE6Bw6TeBEIhF2797Niy++yMsvv4xSivnz5/Pyyy/z5Zdf4vf7ufDCCzEYDLzzzju89NJL/O1vf0On0zFlypSjCpxgMMiWLVuYN28eixYtiq0WQgjRBjpN4GiaFp37bOHChZx++uk0NTWxcOFCNm7cSDAYZPjw4fzyl7/EbrezdOlSAG644QYmTJhw0IEBh8Pv97N27Vr++9//Mnfu3NhqIYQQbaDTBI7JZGLcuHF8+OGHB5Q77riDxMREAE466SQef/xx3n33XZ599lmmT59+1OdvEhISuOiii/jHP/7BfffdF1sthBCiDXSawBFCCHF8k8ARQgjRISRwhBBCdAgJnIPQNO1HFwCUQlMKTfvhglIoDr+9pu2bd02B+p66gxalUEqhFCilHVgfU5TSUGrv/G7qR23bvuV+zDJKQ7Fv27Qf3rb/X/a+3pra+7gH1h9Y9r4Ge0ts3fcVtW+ZH/t6738N9j7WD29b9HXj8J+LpmnROfjUj3oN9j7W3tf7wPrYsvc10FD82Pfnu6/34S33/9tzQN33lu9+TqPfw+9pF1P2Pqe939XDeQ32lr2vt9r3mTuw/vvLd9+j2LrvK/s/c4fbfv8y2r7XQdM0IpHIAfumQ5X9r2FH0KmOfLROStM0XC4XbrebXbt2cfrpp/P5558TFxcX2/SgfD4fv/vd77DnJzLu1BN+cBaBUCDE2kWrWPrZN1z1u1k44g/vsVoamnn6jsf46S8up2ff3uiNhtgmB/B7fHzx7lx8Xi8/ueIcrHZbbJNWtLBG2Y7dvPjgM9z2198Rn7R3wMYPcTe7+PdfXmboxOGMnDwG02GMHAz5g6z6egWrFi7jit9eg/1wX4f6Zp76zcNcfvu15BcXoDcc+nXwub188voczFYTp1x0Bhbb988g/l2RcITdW0p5/S8v8cu/3EF8UkJsk+/lbnbx6qP/Ysy08QybOBKjee/tMg4m6AuwdN4idqzfxsW3XoY9zhHb5EAKmuubePTm+7n5kV+TmZeN7ntmWI/ldXn56JX/EpcUx9Tzpv/g6xAOhdm+dgsfvPQeNz74S+ISD+81cDU5+df9/+DkC6bTf9RgjD/wfQAI+AIs/mQhe7bv4sIbf4rtB14HpSkaquv484338bt/3ktSWgo6nS622QE8Tg///ed/yO6Zy4k/mYzZ+sOzi4SDYbas2sjcNz9k1v23EJdweAOVnI0t/POev3HG5WfSd2j/H9wv+D1+vnr/c5rrmzjr6vOwOvbOG3lIStFS38Sff34fCxcuJD4+/rBeB/aN0L333nuZOHEit9xyy1HPtPJDJHCAxsZGXnnlFd577z38fj+7d+8+7DfsWFFK0dzcjMPhwGQydfrtPRSlFMFgEJ/PR2JiYpd+LvsppXA6nVgsFiwWS5d/TkopIpFIdJLcrv582PecPB4POp0Ou91+3DynhoYGkpOTMfzAj7D9lFLceeedXHfddT/qR/aRkMCJEQ6Hqa2tJS4urlN/AN1uN6eeeioPPPAAJ554YnQuua4oFArxySef8Pe//53Zs2fjcBz6l21X4PV6ueyyyzj33HO58MILozcF7KoikQgbN27kggsuYMWKFUd9KUJn4Pf7+d3vfkdKSgq33XZbu/+6b29KKVwuF71792bVqlXk5uZ+733Fvksphd/vx26343A42n2fJ4HTRbndbiZOnMhjjz3G5MmTu3TghMNhPvjgA5544gk+/fTT4yZwzj//fC666CJ++tOfdvnA0TSNdevWMWPGDLZs2XLcBM5tt91Gamoqd911V5cPHACn00lmZibbtm0jLy+v3QPkxzp0/AkhhBBtRAJHCCFEhzDcc88998T+UXQN4XCYMWPGHBcncTVNIykpiVGjRh32yc7OLhKJMHjwYLKzs3+wL70rUEphNpu7/DnD74pEIvTu3ZtevXodF+8R+86JTpkyBavV2un2C3IOp4vaf7LPbDYfFzvocDhMKBTCZjv0kO2uxO/3t7o5YFenaRp+vx+bzdbpdmRHKhAIoNPpjmry385EKYXX6+20o+4kcIQQQnSI4+MYUgghRKcngSOEEKJDSOAIIYToEBI4QgghOoQMGugE6uvr+c9//sOXX37JueeeyyWXXILX6+X3v/89GzZsaNV22rRpXH/99dE7oDY1NfGf//yHhQsX4vf7GTZsGBdeeCF9+/aNjlKprq7m008/5fPPP8fn8zF06FDOOeccBg8e3GrdR2Pu3Lm88cYbVFVVRf+WnJzMddddx7Rp04hEIixfvpz33nuPHTt2kJyczGmnncaMGTOiMwuEQiE2b97MK6+8wvbt20lKSuLUU0/l//7v/1qNxNuwYQMvvvgiO3bsICEhgbPOOovp06eTkHB4E0sejoaGBt544w3mzJkT/ZtOp6OgoIDnnnsOnU7HH/7wB1auXEk4HI62OeGEE7jmmmvIzc0FoKWlhTlz5jBv3jycTicDBgzg3HPPZfjw4dFhuA0NDXz55Zd8+OGHOJ1O+vbty3nnncfo0aOj620rbrebBQsW8Omnn1JWVobNZmPKlCmcffbZZGZmArB7927eeecdli5dik6nY9y4cVx66aXReqUUjY2NPPfccyxbtiza5uqrryY1NTX6uausrOTNN9/k22+/RSnFhAkTOOecc+jZs2erbToa++cOe+mll1i+fDler5fMzEyuu+46hg0bhsVi4c033+T999+nsbExulxBQQFXX30148aNAyAYDLJkyRJmz57N7t27yczMZMaMGZx22mnREWz7b0X/6quvsmfPHjIyMpg5cyZnn312dL1H64MPPuDll1/G7Xa3+ntmZibnnXceZ511FpWVlbz22mssW7YMvV7P2LFjufbaa0lKSoq2r6ur4/nnn2fFihXo9XomTJjAT3/6UzIzM6Pvz+7du5k9ezZLliyBfZ/dmTNn0qtXr+h62ppch3OM+Xw+lixZwt/+9jeqq6vJyclh0qRJ+Hw+/vKXv2A2m7nkkksYOnRotOTn52M0GtE0jSeeeIIFCxYwcOBAioqKWLp0KeXl5RQUFJCamorb7ebf//43H3/8MUVFRfTu3ZuNGzeyYcMG+vfvT3JycuwmHZGvv/6azz77jBNPPJGpU6dGt3XgwIEkJyezbNkyXnjhBZqbmxk3bhyhUIhvvvmGSCTCsGHDUEqxbds2Hn74YRobG5kyZQpGo5H33nsPu90eDceamhpuvPFG2He7cZ1Ox7vvvktWVhY9evRos+Gtzc3NzJkzhy1btjBr1qxWr3+fPn3Q6XQ88cQThMNhzj33XEaNGhWtLygowGKxoJTipZde4sMPPyQ/P58BAwawYcMGtm7dSm5uLtnZ2Xi9Xj766CNef/118vPzGThwIDt37uTrr79m8ODBpKWlxW7aEQsEArz++ut8/PHHZGZmMmrUKHr27ElmZiZ5eXnExcVRVlbGq6++yldffcUJJ5xARkYGixYtYuvWrUyZMgWDwYDX6+XBBx9kwYIFnH766RQUFPDBBx9QV1fH8OHDsVqt+P1+HnjgAdatW8fw4cPJzs7mq6++oqWlhZ49e0Z/MB0NtW8C25tvvpmGhgbGjh3LsGHDSElJoWfPnmRkZGA0GpkzZw5r1qxh8uTJTJo0Kfo+9e3bN/oj5auvvuKll14iFAoxbtw4XC4XX3/9NRaLhQEDBhCJRNi8eTP3338/Op2OyZMnEwwGefPNN8nPz6d3796xm3fE0tPTGThwIEOHDqWoqIja2lo2b97MzJkzsVqtPP/88yxYsIApU6aQk5PDvHnzKCkp4ZRTToF9w9fvuOMO1qxZw6RJk8jOzubjjz/G4/FQXFxMXFwczc3NPPXUU6xdu5YhQ4aQmZnJokWLaGhooLi4uP2mLlLimIlEImr16tXq2muvVXfeeaeaOnWquu+++5RSSrW0tKgpU6aoW265RXk8HuXz+ZTP51PBYFBpmqaUUmrz5s1qwoQJ6uGHH1alpaWqtrZW/eMf/1DTp09Xb7/9topEImrp0qXqkksuUbfddpvauXOnqq6uVi+++KKaOXOm+te//hWzRUfuxRdfVCeffLKaN29edFv9fr8Kh8MqEAiohx9+WJ199tnqv//9r6qrq1Nr1qxRN998s7rwwgtVRUWFamlpUS+++KIaOXKk+vLLL1VjY6PavHmzuu6669SkSZNUKBRSmqapf/7zn6pPnz7q66+/Vo2NjWrnzp3qwgsvVD/72c9USUlJ7GYdsYqKCvXLX/5SzZgxI/p8fD6fCgQC0TY/+clP1KxZs1RlZeX3vj87duxQZ511lrr99tvV5s2bVW1trXr99dfVmWeeqZ5++mkViUTU+vXr1Q033KCuuuoqtWPHDlVXV6f++9//qunTp6vHHnvsO1t09L7++mt1xRVXqIceekiVlJSolpYW1djYqBoaGpTf71dKKTVv3jx1+umnqz//+c+qurpalZeXq+eee04NHjxYLVu2TIXDYbV+/XqVn5+vnnvuOVVfX6/q6urUX/7yF9WvXz+1fv16FQ6H1cKFC9WYMWPUc889p8rLy1VVVZW6//771VlnnaU+/fTT2E07IoFAQD3//PNq5MiRasmSJaqurk653W5VU1OjnE6nikQiSimlHnjgAXXuueeqb775ptX7uL++paVF3X333eq8885TX3zxhaqvr1eLFy9WV199tbriiiuU0+lU9fX16sknn1RjxoxRK1asUE1NTWr9+vXq3HPPVeeff37Mlh25cDis/H5/dDvXrFmjrr76anXhhReq+vp69fXXX6uxY8eqJ554QtXW1qqKigr1j3/8QxUUFKht27YppZRatWqVysvLU6+99pqqrq5W1dXV6r777lMnnXSSWrZsmdI0TX3yySfqtNNOU0899ZSqqKhQFRUV6v7771cXXHCB+vDDD2M3q83IOZxjqKysjI8++oikpCRmzpx5wASPmqaxZMkSfvWrX3H33Xcze/ZsvF5vtH7NmjVomsbYsWMpKCggPT2dadOmYTab2bFjBy6Xi23bthEIBBg5cmT01+yIESNIT09n9erVrR7vaDU1NfHMM89wxx138NRTT7Fu3TpCoRD19fXs2LGDnJwcJkyYQFpaGv3792f48OE0Njaybds2mpqa2Lx5M7m5uUyYMIHk5GR69uzJjBkz2LhxI+Xl5SilmDdvHsOGDWPo0KHRNtOmTWPDhg00NTXFbtJRCYfDbNmyhd/85jf84Q9/4LXXXsPlcrVqs3r1an73u9/xxz/+kbfeeouGhgb291Jv3rwZr9fLsGHDKC4uJj09nRNOOIG0tDS2b99Oc3Mze/bsoba2lpEjR9K7d2/S0tIYMmQIxcXFLF68uNVjHa1vv/0Wt9uNy+XipZde4t577+Xdd9+lsbERi8WC3+9n165d+Hw+pk2bRmZmJjk5OYwdO5a4uDiWLVtGMBhk7dq1+P1+zj//fFJTU0lLS+PCCy+kpaWFTZs2EQgEWLZsGYmJiYwcOZKcnByysrKYPHkyPp+PXbt2EQqFYjfvRwsGg7zzzjsMHDiQb7/9lnvuuYcHHniAlStXYjAYWs0cUFZWxlNPPcWdd97Js88+y9atW4lEIgBUVFSwa9cuevbsydixY0lNTWXIkCGMGDGCnTt3snv3bpqamti4cWP0c5uUlESvXr2YPn0633zzDR6P5ztbduQMBgMWiwWr1YrFYqG8vJxdu3YxYcIEzGYz27dvx+fzcdZZZ5Genk5WVhannXZatMsaYMmSJdjtdiZPnkxGRgaZmZnMnDmTpqYmdu7cid/vZ/Xq1cTHxzN8+HBycnLIyclh/PjxRCIRtm3bFrtZbUYC5xhpampi4cKFlJSUcMkll5Camtqq3mg0MnbsWE4++WQKCwsBePHFF3n22WdxOp2w70uUlJREQkJC9MuVk5NDXFwc9fX1uFwuGhoa0Ov1rbpmEhMTSUxMpLa2ttX5h6ORk5PD9OnTGTp0KKmpqaxbt46nnnqKb775htraWlpaWkhOTo4+T7PZTGpqKkajkerqarxeLw0NDWRnZ0dn7TWbzfTu3ZtAIEBZWRkAJSUl9O7du9U5ncLCQlpaWvB4PNGd/dGyWCwMHDiQmTNnkpeXh8lkYvbs2dx77734fD4ARo4cydSpUykuLsZgMPD222/z7LPPRs9jVVVVYbPZWt2bJCMjg6SkJJqammhqaqKlpYVgMEh2dnb0sR0OB5mZmVRXV7fJjnm/PXv2sHbtWjZv3kwkEsFms7FgwQJeeuklSkpK8Hg81NXVYbFYyMvLg33nrRwOBxkZGezZs4dIJMLu3btJTU0lJSUluu6cnBzi4+MpKysjFApRXl5Oenp6qyvec3JyMJvNNDY2Rl/DoxGJRFi9ejXr1q1j69at5OTkEAgEePLJJ/n888+jP8569erFySefzODBg0lMTGTx4sU8/fTTrFy5Mno+yu/3k5qaGj2faLfbycjIIBKJUF1djc/no6Ghgfz8/Oh3zWQyUVRUhNPppL6+vtW2tYX6+nrWrFmDXq9n2rRp+Hw+qqursVqt0fdHr9eTmJhIeno6paWlKKUoLS0lJyen1e0Gevbsiclkorq6Gr/fT1VVFQkJCa3Oe6anp2MwGGhqaoqGcVuTwDkGgsEga9as4auvvmL69OkMGjQotgkWi4UrrriC66+/nmuuuYZrrrmGE088kddee41du3YRiUQIBAKYTKZWv+RMJhMGg4FQKBSdLmb/3/czGAwYjUbC4TDa/ltjH6Vhw4Zx9dVXc91113H11VdzxRVX0NLSwhdffMGePXsIh8PRbdvPYDBgMBgIBAJomkYoFGo1RbxOp8Nq3XtHSp/Ph1IKn893wBxRFouFSCRCOBxus8CJj4/ntNNO45ZbbuHqq6/m6quv5rzzzuPdd9/l22+/RdM0Lr74Yq6//nquvfZarrnmGqZOncrHH3/Mxo0bCQaDBINB9Hp9q+dsMpkwmUyEQqHoe6RpWqv3R6/XR9u01fvDvtfQ7XYzZMgQrrrqKq655hrGjBnD5s2bWbJkCZFIhGAwiMFgaHUuTK/XYzab8fv9KKUIBALR92U/nU6HxWKJvpf7P5vffe77p2Ha/7yPltp3kzuPx8P//d//cfXVV3PNNdeQkJDA7Nmzo0e8EydO5Jprrol+Ni+++GJ2797N/PnzaWpqIhQKoZRq9R7odLroUdL+5xQMBr/387n/c9lWn739SkpK2LBhAwMGDKCoqCj6uhqNxgO21Wq1RkN8/3fku6xWa/S5fPd9jv1s6vX6Nv/cfZcEzjHgdDpZuXIl8+fP5/PPP+f222/n4YcfZuvWrcydOzd6YnLAgAHk5+eTmppKcXExl19+OfX19ZSUlBAMBnE4HNEP0H5+v59QKITVasVsNke/IIFAINomFApFvzzf/cAdjczMTHr16kVWVhY5OTlMmTKFAQMGUFFRQWNjIyaTiWAw2OoX+/4dj81mw7CvK+G7XYaapkXvyLj/trnx8fEHHMl4vV6MRiNms7lVEB0Ns9lMQUEBhYWFpKWl0atXL8455xzi4uJYunQpmqbRr18/CgoKSEtLo3fv3lx00UUEg0FKS0vx+XzYbLZWoc++9yEQCES7TfbvhP1+f7TN/h8TFoulTedhs1qtFBQUMHLkSIqLi+nZsyejR4/GbrezY8cOTCZTdJu/ewSyfw61/b+YHQ7HAaOoNE3D5/PhcDjQ6/XY7fYf/GweLZ1OR0JCAoMGDWLcuHFkZmbSv39/TjrpJDZt2hTt5srLy6NXr15kZmbSo0cPTjvtNPLz89m1a1f0iE6n07X6jiiloj8G9n8+rVbrAZ9Pt9vd6vPZVgKBAJs3b6auro4TTzwRq9WK0WjEZrMRCoVabev+78mhviMej4dIJILdbo+uJxwOtwr+/cHalvuFWBI4x4DRaKRfv37MnDmTuLg4IpEIkUgEpRSaphGJRA754dU0DaUUPXv2jHbN7P9i79mzB5fLRUZGBgkJCa26BfZrbGykqamJ7Ozsdvtg7d9+TdNIS0sjJSWFuro6ampqYN/Op7a2lkgkEh0hlZGRQXl5eXRnFwwG2bx5MzabjYKCAgD69evH5s2bW31Rtm7dGu0OOdTrdrR0Oh1q362WD2X/+5OXl4ff76ehoSEaOpWVlTQ2NpKamkpycjLJycnRvvr9XC4XlZWV9OjRo03fn5ycHJKSklrtiJRS6HQ69Hp9tCsvGAyya9cu2PdcnE4nlZWV9O7dO9qN1NjYSGVlZXQ9paWluN1uCgsLsVgsFBYWUlVVhcvlij7e7t27CYfDpKWltckkrQaDgX79+h3wa1wphV6vP+hnYf/7uP99Sk9PJy4uLtr1y74fhRUVFZjNZnr06BHtYispKYk+XmjfMP60tLQDusSPVkVFBWvXriUlJSU6dNtut9OjRw98Ph8lJSWw7/2pr6+ntraWvn37AtC3b1/Kyspavfbbtm0jHA6Tk5ODzWYjLy+PpqYmmpubo49ZVVUVfX++22vSltpnreKQEhISmDx5MnfddRd33nknd955J7NmzaJXr16cdNJJ/PznP6e+vp5vvvmGqqoqmpub2b59Oy+++CLJycn06tULs9nMiBEjiI+P5/PPP2fjxo3s3r2bOXPmoNPp6NOnD3a7nQEDBpCQkMDixYtZt25ddMhtQ0ND9IPcFlasWMHmzZupr6+nurqaefPmsX79enJychgwYAADBgyI/r2srIxly5axdOlS8vLy6NOnD8nJyQwZMoS6ujo++OADqqqq2LhxI7Nnz2b8+PHR6wdmzpzJxo0b+fLLL6mqqmLNmjXMnTuXUaNGtemX3ul08tVXX1FWVhY92frWW2/hdDoZO3YsLS0tLFq0KFpfUlLCv//9b/R6PYWFhdhsNgYOHEhaWhqLFy9m9erV7Nmzh3nz5tHU1MSAAQOIj4+nsLCQvLw8li5dyooVK9izZw+LFi1i+/btTJkyJXazjsqoUaOwWq0sW7aMbdu2sXv3br799lt8Ph/9+vXDbDZTWFhIYmIic+bMobS0lO3bt/Ppp58CMH78eEwmE0OGDCE9PZ0XXniB8vJyysrKeOGFF8jNzaVv376YzWYmTJhAKBTiiy++YPv27ezYsYNPP/2UhIQEevXq1SZBajKZOPvss1m3bh2LFi2ivr6eTZs28eWXXzJs2DAcDgehUCj6fBsaGqioqGDOnDns3LkzOtAmOzub4uJidu3axbx58ygvL2fJkiUsW7aM/v37k5eXR2pqKsOHD2f79u189tlnVFdXs3btWj788ENOO+20A7qwjtaWLVsoKSlhxIgR5OTkwL4j1KKiItLS0njjjTfYvXs3paWlvPXWWyQlJUWv25o4cSIGg4H33nuPXbt2sXPnTt5++21ycnIoLCzEbDYzduxYAoEAX3/9NVu3bmXbtm3Mnz8fy75h4O1FrsM5BnT7pkN3OBzR4vP5+Oyzz+jduzfTp0+nrKyMZ555hnXr1rF06VIWL17Mxo0bOfvssznllFOw2+0kJiYSDodZsWIFGzZsYPny5WzevJkTTzyRk08+OTqgIBgMsmHDBlavXs2KFSvYvn07gwcP5txzz22z8fZvvPEG8+fPZ/ny5dHtTU5Ojl5gGh8fT1VVFStWrGD9+vXRbqnzzjuP4cOHR1+Puro6vv76azZv3szSpUtpamri5ptvpqioCJ1OR3Z2NiUlJdHn/PXXXxMIBLj88svp27dvq77to1FdXc2zzz7LqlWrouG4fPlypk6dyqWXXkpzczP//Oc/WbVqFd9++y2LFy9mw4YNTJkyhdNPP53k5GTi4+NRSrF+/XrWrFnDqlWrWL9+PYMHD2bmzJmkpaVFj8o2bdrEypUrWb16NevXr6dnz55cdtllbXK9yn5JSUk4nU42bNjAunXrWLlyJaWlpQwePJgZM2aQmJgY7bJZsmRJ9D3Yvn07M2bM4IwzzsBgMGC329Hr9cybN4/S0lIWL17M2rVrufTSS5k4cSIWi4WUlBScTmf0OX/77bfs3r2bU045hZNOOil6cv5o6PV6srOz2bRpE2vXrmXDhg0sXrwYl8vFlVdeSZ8+fVBK8eqrr7Jw4UKWL1/OkiVL+Pbbb8nPz+fss8+mqKgo2r25/4fQ+vXrWb58ORaLhYsvvpji4mLMZjNxcXHRHwSbNm1iyZIlhEIhfvnLX0ZDoS20tLTw0UcfsWvXLi677DLy8/PhO+fJ2Hfd0LZt21i6dCkbNmzg4osvjl6Hk5ycjM/nY+HChWzdupUlS5awbds2LrzwQsaOHYvdbiclJYXm5mbWrFnD2rVrWbp0KRUVFUyaNImpU6dit9tbbVNbkcDpJPYf3g8aNIjevXujlKK+vh6v10swGCQ5OZnp06dzwQUXkJCQgE6nQ6fTUVRUFO1T1+v1jB8/npkzZ5Kfn49Op8NkMpGbm0tycjIulwuDwcDo0aM566yzot1UbcHpdOJyuaLnU/r37895553HiBEjsFgspKWlkZ2djVIKj8dDdnY2M2bMYNKkSdGQiI+Pp6ioiHA4jNvtJi0tjbPPPpuTTz452j2y/8hh/wnw/UNy93+R2kokEqG5uRmPx0MgECAhIYGJEydy5ZVXRq/orqura1U/efJkzj///OjRmG7fzARJSUl4vV6UUowYMYKZM2dGLx41Go1kZmaSmZmJ2+1GKcXgwYO54IILKCoqit2so7K/a9Jut+N0OjGZTIwdO5YZM2ZEPwsOh4O8vDwcDgctLS3YbDYmTZrE+eefHw0Jg8FA//79Me8bcWY0GjnllFM4//zzo+cRjEYjffr0wWw243K5sFgsTJ06lenTp5OVlRWzZUdGp9ORlJTEwIEDcTqd0c/D+eefz4QJE6Ldds3Nzbjdbnw+HxaLheHDh3PeeecxaNCg6Dmy9PR0cnJyouev8vPzmTlzJhMmTMBgMKDbd76oqKgIv98f/QxfdNFFTJgwIWbLjo7X66WlpYWioiImT54cDRn2vYf7j6Cbm5uxWCxMmzaNiy++ONpOp9MxcOBA9Ho9TqcTi8XCqaeeyowZM6I3a9x/NGu1WnG5XNhsNqZOncqpp55K5r4ZJdqDTG0jhBCiQ8g5HCGEEB1CAkcIIUSHkMARQgjRISRwhBBCdAgJHCGEEB1CAkcIIUSHkMARQgjRISRwhBBCdAgJHCGEEB3i/wHmb5W5eAImZQAAAABJRU5ErkJggg=="},"99116fc8-6bb0-4aaf-b5e0-fb8cddece7ec.png":{"image/png":"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"},"61269279-cfeb-4c1d-bd4d-3f7053529232.png":{"image/png":"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"},"1986b55c-329b-48de-b944-00e9119f7e5c.png":{"image/png":"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"},"2cee6d07-7942-404f-a48b-27a5f12aaa2c.png":{"image/png":"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"},"38398216-aea4-46dd-8fa1-f0edde19dd80.png":{"image/png":"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"}}},{"cell_type":"code","source":"#now lets study the plot of a single planet \n\n# the first planet from the merged_df is used to study the single planet\nplanet_index = 0\n\n# selects the 'planet_index' row and stores it in the form of dataframe\nplanet_sample = merged_df.iloc[[planet_index]]\n\nplanet_id_sample = planet_sample['planet_id'].values[0]\n\n#identify the spectral data columns in the merged_df like wl_1, wl_2..\nwl_cols = [col for col in train_df.columns if col.startswith('wl_')]\n\n#since the planet sample is in wide format with 1 row and 284 columns s 'melt()' function converts wide to long format\n# the planet id is kept as it is.\n# wl_id will hold the original wavelength column names.\n# the 'spectrum_value' column holds the actual measyrement values.\nspectrum_sample_long = planet_sample.melt(\n    id_vars=['planet_id'], value_vars=wl_cols,\n    var_name='wl_id', value_name='spectrum_value'\n)\n\nprint(\"spectrum sample long\")\nprint(spectrum_sample_long.head())\n\n# to the spectrum_sample_long of planet at 0th index add actual wavelength values from the wavelength_haped dataframe\n\nspectrum_to_plot = pd.merge(spectrum_sample_long, wavelength_shaped, on='wl_id')\nprint(\"spectrum to plot\")\nprint(spectrum_to_plot.head())\n\n#set the custom colors for instruments\ninstrument_colors = {\n    \"FGS1\": \"#0077b6\",  # A strong, clear blue\n    \"AIRS-CH0\": \"#d62728\" # A classic, bold red\n}\n\n# the spectrum_tp_plot dataframe is plotted since it contains planet_id with corresponding wl_id (wavelength_id), spectrum_value and wavelength_um and the corresponding instrument(FGS-1 or AIRS-CH0)\n#x-axis ---> wavelength\n# y-axis ---> spectrum_value\n\nplt.figure(figsize=(14, 7))\n\nsns.lineplot(\n    data=spectrum_to_plot,\n    x='wavelength_um',\n    y='spectrum_value',\n    hue='instrument',\n    style='instrument',\n    markers=True,\n    dashes=False,\n    palette=instrument_colors # Apply our custom color dictionary\n)\n\nplt.title(f'Ground Truth Spectrum for Planet ID: {planet_id_sample}', fontsize=18)\nplt.xlabel('Wavelength (µm)', fontsize=12)\nplt.ylabel('Transit Depth (unitless)', fontsize=12)\nplt.legend(title='Instrument', fontsize=11)\nplt.grid(True, which='both', linestyle='--', linewidth=0.5)\n\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:19:57.284087Z","iopub.execute_input":"2025-09-24T18:19:57.28439Z","iopub.status.idle":"2025-09-24T18:19:57.575312Z","shell.execute_reply.started":"2025-09-24T18:19:57.284368Z","shell.execute_reply":"2025-09-24T18:19:57.574511Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Interpretation of Ground Truth Spectrum for Planet ID: 34983\n\n- The x-axis shows the wavelength that varies from 0.8 to 4 micrometers\n- The y-axis shows the transit depth\n- There is only one point around 0.4 micrometers corresponding to FGS-1.\n- There exists a continuous coverage from 2.0 to 4.0 micrometer correseponding to AIRS-CH0.\n\n**THE OBSERVABLE PATTERN**\n\n- The blue point corresponding to FGS-1 at about 0.08130 transit depth is higher than most of the AIRS-CH0 region.\n- The red curve corresponding to AIRS-CH0 shows variation in forms of dips and peaks instead of a flat line.\n- FGS-1 only covers the shorter wavelength.\n\n**WHAT DO WE UNDERSTAND**\n\n- Transit depth changes with wavelength because at certain wavelengths, the planet's atmosphere absorbs more starlight.\n- The dips in the red curve => the absorption of wavelength was less or the atmosphere is more transparent.\n- The peaks signify the absorption bands from the atmospheric molecules.\n- From the spectrum we can hypothesize:\n  - The atmosphere contains molecules with strong absorption features in the infrared region (likely water and methane)\n  - There might be different atmospheric layers or cloud/haze features affecting different wavelengths.","metadata":{}},{"cell_type":"code","source":"n_planets = 10 # Choose how many planets you want to plot\nplanet_indices = range(n_planets)  # First n planets\n\nwl_cols = [col for col in train_df.columns if col.startswith('wl_')]\n\n# Collect data for all selected planets\nplanet_samples = merged_df.iloc[planet_indices]\n\n# Melt and prepare long-form data\nspectrum_samples_long = planet_samples.melt(\n    id_vars=['planet_id'], value_vars=wl_cols,\n    var_name='wl_id', value_name='spectrum_value'\n)\n\n# Merge with wavelength and instrument info\nspectrum_merged = pd.merge(spectrum_samples_long, wavelength_shaped, on='wl_id')\n\n# Optional: set a color palette for planets\nplanet_palette = sns.color_palette(\"tab10\", n_planets)  # Or \"husl\", \"Dark2\", etc.\nplanet_colors = dict(zip(planet_samples['planet_id'], planet_palette))\n\n# --- Plot ---\nplt.figure(figsize=(14, 7))\n\nsns.lineplot(\n    data=spectrum_merged,\n    x='wavelength_um',\n    y='spectrum_value',\n    hue='planet_id',        # Different color per planet\n    style='instrument',     # Different marker style per instrument\n    markers=True,\n    dashes=False,\n    palette=planet_colors   # Use our custom planet color palette\n)\n\nplt.title(f'Spectrum of {n_planets} Planets', fontsize=18)\nplt.xlabel('Wavelength (µm)', fontsize=12)\nplt.ylabel('Transit Depth (unitless)', fontsize=12)\nplt.legend(title='Planet ID / Instrument', fontsize=10)\nplt.grid(True, which='both', linestyle='--', linewidth=0.5)\nplt.tight_layout()\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:03.654898Z","iopub.execute_input":"2025-09-24T18:20:03.655185Z","iopub.status.idle":"2025-09-24T18:20:04.220189Z","shell.execute_reply.started":"2025-09-24T18:20:03.655161Z","shell.execute_reply":"2025-09-24T18:20:04.219383Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"**OBSERVATION**\n\n- FGS1 POINTS\n  - Transit depth vary significantly between planets.\n  - This suggests different planet sizes or stellar sizes, since FGS-1 measures mostly geometry (radius ratio) and less atmospheric features.\n- AIRS-CH0 Spectra\n  - Planets form distinct horizontal bands, meaning each has a relatively constant baseline transit depth.\n  - Small wiggles along the band indicates the molecular absorption feature.\n  - Higher bands => larger planets or planet transitting smaller stars --> higher transit depth.\n  - Lower bands => smaller planets or planets around larger stars.","metadata":{}},{"cell_type":"markdown","source":"# Plotting the light curve for planet_id = 34983","metadata":{}},{"cell_type":"markdown","source":"**WHY DO WE NEED A LIGHT CURVE?**\n\nThe raw data that is obtained from the detectors are in the form of .parquet files. These files contain information in the form of pixel values. For us humans the pixel values are difficult to visualize as well as difficult to work with.\n\nIn order to make some sense out of the data that is provided by the deteectors and the sensors we need to plot the transit curve. The light curve will give us the information regarding the exoplanet transit.\n\nWhen the planets pass before their stars the brightness of the star dips slightly. The slight dip gives us the planet size, orbit and the atmospheric information. These corrected and summed light curves get transformed into spectra, which is what the competition asks us to predict.\n\nThe ground truth spectrum of the planet gave us noisy data. So, we need to do some data cleaning as well.","metadata":{}},{"cell_type":"code","source":"#sample planet=planet_id(34983)\nplanet_id_sample = 34983\n\n# paths for both the instruments \n# we could have studied FGS1_signal_1.parquet or AIRS_CH0_signal_1.parquet as well but this signal \n# does not exist for planet_id=34983\nfgs1_path =ROOT/ f\"train/{planet_id_sample}/FGS1_signal_0.parquet\"\nairs_path = ROOT/ f\"train/{planet_id_sample}/AIRS-CH0_signal_0.parquet\"\n\n# load both the signals for the planet_id=34983\n# each file is basically a 2D detector image per time frame.=> rows are time steps and columns are pixels.\n# this is the raw that we are loading (straight from the detector type of raw data !!!!)\nprint(f\"Loading raw signal for planet {planet_id_sample}...\")\nfgs1_raw_df = pd.read_parquet(fgs1_path)\nairs_raw_df = pd.read_parquet(airs_path)\n\n\ngain = adc_info['FGS1_adc_gain'].iloc[0]\noffset = adc_info['FGS1_adc_offset'].iloc[0]\n\n\n#Light curve of FGS1.\nfgs1_corrected = fgs1_raw_df * gain + offset\nairs_corrected = airs_raw_df * gain + offset\n\nfgs1_light_curve = fgs1_corrected.sum(axis=1)\nairs_light_curve = airs_corrected.sum(axis=1)\n\n\n\nprint(\"Plotting light curves...\")\n\n\nfig, axes = plt.subplots(nrows=2, ncols=1, figsize=(14, 9))\n\n# FGS1 Plot (Top)\nsns.lineplot(x=fgs1_light_curve.index, y=fgs1_light_curve, ax=axes[0], color=\"#0077b6\", lw=0.5)\naxes[0].set_title('FGS1 Light Curve', fontsize=16)\naxes[0].set_ylabel('Total Flux (Arbitrary Units)', fontsize=12)\n# Add an x-label to the top plot for clarity\naxes[0].set_xlabel('Frame Number (Time)', fontsize=12)\n\n\n# AIRS-CH0 Plot (Bottom)\nsns.lineplot(x=airs_light_curve.index, y=airs_light_curve, ax=axes[1], color=\"#d62728\", lw=0.5)\naxes[1].set_title('AIRS-CH0 Light Curve', fontsize=16)\naxes[1].set_ylabel('Total Flux (Arbitrary Units)', fontsize=12)\naxes[1].set_xlabel('Frame Number (Time)', fontsize=12)\n\nfig.suptitle(f\"Raw Light Curves for Planet ID: {planet_id_sample}\", fontsize=20, y=1.01)\nplt.tight_layout(rect=[0, 0, 1, 0.97])\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:09.506619Z","iopub.execute_input":"2025-09-24T18:20:09.507308Z","iopub.status.idle":"2025-09-24T18:20:17.269657Z","shell.execute_reply.started":"2025-09-24T18:20:09.507275Z","shell.execute_reply":"2025-09-24T18:20:17.268943Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Concepts to understand from the above raw light curve and code\n\n**WHY DO SOME PLANET NOT HAVE MULTIPLE signal INFORMATION?**\n\nLike the planet of out observation : planet_id=34983 has only one channel and that is FGS1_signal_0 and AIRS_CH0_signal_0. Some planet might have 1 or more than 1 channel that is having both FGS1_signal_0, AIRS_CH0_signal_0 and FGS1_signal_1, AIRS_CH0_signal_1.\n\nIts a pretty straight forward reason for that :: If only one setting was enough for that planet’s observation, you’ll only see _signal_0. If the target was tricky (bright star, faint transit, noisy background), they might store additional signals. Basically different signal files for the same planet conveys that a different configuration of gain/offset was used to get information of that planet.\n\n**WHAT IS GAIN/OFFSET?**\n\nA telescope detectors collect the photons incident on it. That is how the light from far away planets are studied but a computer cannot read these photons. So, we need to convert these electron counts to digital data (digital counts) Analog Digital Units.\n\nThe gain is the conversion factor between electrons and Analog Digital Units.\n\nThe instruments used to measure these signals also record the noise. Sometimes, the noise causes fluctuations that cause signal to fall below zero. But, a negative count does not make any sense to us as well as the computer. \n\nThe offset is a conatant that is added to every measurement. This offset(bias) ensures that no measurement falls below 0.\n\n**LIGHT CURVE**\n\nEach row of fgs1_raw_df = one time frame. The summation of the entire time frame gives is the total flux per time step. This curve is our **Light Curve**. A light curve is the brightness of the star as the function of time. This curve is the most basic curve required to study transit.\n\nThe data collected is in the raw form but then it is converted into digital format.\n\n![image.png](attachment:d70f181b-4027-4f27-ba48-f518a98a182c.png)\n\nNow, in order to get the original/raw data back we need to perform some computation:\n\n***Corrected value = raw value * gain + offset***\n\n![image.png](attachment:b7dbdd5a-603d-4a88-ac1b-260c59026f89.png)\n\nThe corrected values are then added to get the entire Light Curve.\n\n![image.png](attachment:6d89c2b7-eca3-46a5-9da1-efe7a171de2e.png)\n\nThe same procedure is applied for deriving the curve for AIRS-CHO.\n\n\n**THE CURVE OBTAINED**\n\n![image.png](attachment:53a80e0c-011d-4686-9555-0fddeb142902.png)\n\nWe saw in the overview of the challenge that the transit curve must have a U or V shape but that does not seems like the case in the curve that we plotted. It is so because of the noise present in the data and that is the next task for us, to clean the data so that a transit curve can be obtained.","metadata":{},"attachments":{"d70f181b-4027-4f27-ba48-f518a98a182c.png":{"image/png":"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"},"b7dbdd5a-603d-4a88-ac1b-260c59026f89.png":{"image/png":"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"},"6d89c2b7-eca3-46a5-9da1-efe7a171de2e.png":{"image/png":"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"},"53a80e0c-011d-4686-9555-0fddeb142902.png":{"image/png":"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"}}},{"cell_type":"code","source":"fgs1_corrected.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:17.892478Z","iopub.execute_input":"2025-09-24T18:20:17.893325Z","iopub.status.idle":"2025-09-24T18:20:17.898103Z","shell.execute_reply.started":"2025-09-24T18:20:17.893299Z","shell.execute_reply":"2025-09-24T18:20:17.897265Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"fgs1_light_curve.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:20.551231Z","iopub.execute_input":"2025-09-24T18:20:20.551929Z","iopub.status.idle":"2025-09-24T18:20:20.556387Z","shell.execute_reply.started":"2025-09-24T18:20:20.551905Z","shell.execute_reply":"2025-09-24T18:20:20.555682Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Creating Differential Light Curve","metadata":{}},{"cell_type":"code","source":"fgs1_diff = fgs1_light_curve.iloc[1::2].values - fgs1_light_curve.iloc[0::2].values\nairs_diff = airs_light_curve.iloc[1::2].values - airs_light_curve.iloc[0::2].values\n\n\nprint(\"Plotting 'Differential' Light Curves...\")\n\n\nfig, axes = plt.subplots(nrows=2, ncols=1, figsize=(14, 9))\n\n# --- FGS1 Plot (Top subplot) ---\nsns.lineplot(\n    x=np.arange(len(fgs1_diff)), # Create an x-axis for the measurement number\n    y=fgs1_diff,\n    ax=axes[0],\n    color=\"#0077b6\", # Consistent blue color\n    lw=1 # Use a thin line for clarity\n)\naxes[0].set_title('FGS1 Differential Light Curve', fontsize=16)\naxes[0].set_ylabel('Differential Flux', fontsize=12)\n\n# --- AIRS-CH0 Plot (Bottom subplot) ---\nsns.lineplot(\n    x=np.arange(len(airs_diff)),\n    y=airs_diff,\n    ax=axes[1],\n    color=\"#d62728\", # Consistent red color\n    lw=1\n)\naxes[1].set_title('AIRS-CH0 Differential Light Curve', fontsize=16)\naxes[1].set_ylabel('Differential Flux', fontsize=12)\naxes[1].set_xlabel('Measurement Number (Time)', fontsize=12) # Label the shared x-axis\n\n\n\nfig.suptitle(f\"Differential Light Curves for Planet ID: {planet_id_sample}\", fontsize=20, y=1.01)\n\n# Improve layout to prevent titles/labels from overlapping\nplt.tight_layout(rect=[0, 0, 1, 0.97])\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:23.932694Z","iopub.execute_input":"2025-09-24T18:20:23.932974Z","iopub.status.idle":"2025-09-24T18:20:24.649226Z","shell.execute_reply.started":"2025-09-24T18:20:23.932953Z","shell.execute_reply":"2025-09-24T18:20:24.648533Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Understanding Differential Light Curve\n\nIn the code we use even-odd subtraction(differential light curve). \n\n**WHY DO WE USE EVEN-ODD LIGHT CURVE**\n\nIn many space telescopes the data are recorded in a very structured sequence. Basically, the measurements are taken in paired exposures. So, one exposure might have a slightly different instrument configuration. So, the 0th and 1st measurement are natural pairs. The tiny difference we care about (transit signal, photon statistics) are present in these measurement.\n\nSo, by cancelling the odd and even flux we can cancel the shared instrument/systematic noise while keeping the differential signal.\n\nThis concept can be understood as byimagining recording with the two microphones, and both of them capture the background hum. One of the microphone has a calibration so that it captures the extra variation(like some song playing in the background)\n\nSubtracting them(both of the data received from the different microphones) removes the hum, leaving mostly the signal. That’s exactly what differential light curves do with detector readouts.\n\nEven–odd subtraction is used because the instrument acquires data in natural pairs. It cancels shared noise/systematics while preserving astrophysical signal.\n\n**STUDY OF THE GRAPH OBTAINED**\n\n![image.png](attachment:c3aefc64-2bc2-4f57-ab70-610ba74de997.png)\n\n*FGS1 Differential Light Curve (Blue)*\n\nY-axis (Differential Flux): Light intensity (flux) measured after correction. X-axis (Measurement Number): Time sequence (each point is a measurement).\n\nWe observe two sharp upward spikes, these are outliers. After ignoring spikes, the baseline flux hovers around 63000–65000 counts. Around 20000–45000 measurements, the flux dips slightly, then recovers. This kind of dip is a candidate transit signal (planet passing in front of its star, blocking some light). The FGS1 curve is noisy, but still shows a possible planetary transit.\n\n*AIRS-CH0 Differential Light Curve (Red)*\n\nY-axis: Flux is much higher (~3.6 million counts), since AIRS is a spectroscopic channel with higher throughput. X-axis: Time (shorter series, only ~5,500 points, compared to ~70,000 in FGS1).\n\nInitially flat at ~3.64e6 counts. Then a broad dip (transit) occurs between 1500–4000 measurements. Flux decreases smoothly, bottoms out around ~3.56e6, then rises back to baseline. Spiky noise (sharp upward deviations) sprinkled throughout → instrumental/systematic noise.\n\nThis is a classic transit light curve:\nOut of transit → flat baseline.\nDuring transit → flux drops.\nAfter transit → recovery to baseline.\n\nFGS1 (guiding sensor) → much noisier, with spikes and smaller depth.\nAIRS-CH0 (science detector) → much cleaner transit signature, smooth dip.\n\nBoth are consistent: they show a drop in stellar brightness at the same epoch, confirming the planetary transit.\n\nWhat you’re seeing is the planetary transit signal of planet 34983 — the star’s brightness dips while the planet crosses in front of it. The FGS1 curve is used more for pointing and calibration but can show transit signatures (with more noise). The AIRS curve is the main science signal, clearly showing the transit.","metadata":{},"attachments":{"c3aefc64-2bc2-4f57-ab70-610ba74de997.png":{"image/png":"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"}}},{"cell_type":"code","source":"# Base frames\nbase_frames = [0, len(fgs1_corrected)//4, len(fgs1_corrected)//2, 3*len(fgs1_corrected)//4, -1]\n\n# Brightest and darkest indices\nbrightest = np.argmax(fgs1_light_curve)\ndarkest = np.argmin(fgs1_light_curve)\n\n# Extra frames\nextra_frames = []\nfor idx in [brightest, darkest]:\n    if idx not in base_frames and (idx != -1 and idx != len(fgs1_corrected)-1):\n        extra_frames.append(idx)\nframes = base_frames + extra_frames\n\nplt.style.use('default')\nfig = plt.figure(figsize=(18, 10))\n\n# ---- Top Row: Frames ----\nfor i, idx in enumerate(frames):\n    ax = plt.subplot(2, len(frames), i + 1)\n    # Reshape row into 2D frame\n    frame = fgs1_corrected.iloc[idx].values.reshape((32, 32))  # change 32x32 if detector size differs\n\n    vmin, vmax = np.percentile(frame, [2, 98])\n    im = ax.imshow(frame, cmap='hot', aspect='equal', vmin=vmin, vmax=vmax)\n\n    time_min = idx * 0.1 / 60\n    if idx == brightest:\n        title = f'Brightest\\nT={time_min:.1f} min'\n    elif idx == darkest:\n        title = f'Darkest\\nT={time_min:.1f} min'\n    else:\n        title = f'T={time_min:.1f} min'\n    ax.set_title(title, fontsize=11)\n    ax.set_xticks([])\n    ax.set_yticks([])\n\n# ---- Bottom: Light Curve ----\nax_light = plt.subplot(2, 1, 2)\ntime_hours = np.arange(len(fgs1_light_curve)) * 0.1 / 3600\nsample = slice(None, None, max(1, len(fgs1_light_curve)//2000))\n\nax_light.plot(time_hours[sample], fgs1_light_curve[sample],\n              color='lightsteelblue', alpha=0.4, linewidth=0.5, label='Raw flux')\n\nwindow = 500\nmoving_avg = pd.Series(fgs1_light_curve).rolling(window, center=True).mean()\nax_light.plot(time_hours[sample], moving_avg.iloc[sample],\n              color='darkblue', linewidth=3, label=f'{window}-frame average')\n\ncolors = ['red', 'orange', 'green', 'purple', 'brown', 'lime', 'black']\nfor i, idx in enumerate(frames):\n    time_point = idx * 0.1 / 3600\n    ax_light.axvline(time_point, color=colors[i % len(colors)], alpha=0.8,\n                     linewidth=1.5, linestyle='--')\n\nax_light.set_xlabel('Time (hours)', fontsize=12)\nax_light.set_ylabel('Total Flux (counts)', fontsize=12)\nax_light.set_title(f'Transit Light Curve - Planet {planet_id_sample}', fontsize=14, pad=15)\nax_light.grid(True, alpha=0.3, linestyle='-', linewidth=0.5)\nax_light.legend(loc='upper right', framealpha=0.9)\n\nsmooth_flux = moving_avg.dropna()\nflux_min, flux_max = smooth_flux.min(), smooth_flux.max()\nflux_range = flux_max - flux_min\nmargin = flux_range * 0.1\nax_light.set_ylim(flux_min - margin, flux_max + margin)\n\nplt.tight_layout(pad=2.0)\nplt.show()\n\n# ---- Summary ----\nduration = time_hours[-1]\ntransit_depth = np.mean(fgs1_light_curve) - np.min(fgs1_light_curve)\n\nprint(f\"🌟 Planet {planet_id_sample} Transit Observation\")\nprint(f\"   Duration: {duration:.2f} hours ({len(fgs1_corrected):,} frames)\")\nprint(f\"   Brightness: {np.min(fgs1_light_curve):,.0f} → {np.max(fgs1_light_curve):,.0f} counts\")\nprint(f\"   Brightest Frame: {brightest} | Darkest Frame: {darkest}\")\nprint(f\"   Transit depth: {transit_depth:,.0f} counts \"\n      f\"({transit_depth/np.mean(fgs1_light_curve)*100:.3f}%)\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:30.255685Z","iopub.execute_input":"2025-09-24T18:20:30.256414Z","iopub.status.idle":"2025-09-24T18:20:31.052166Z","shell.execute_reply.started":"2025-09-24T18:20:30.256388Z","shell.execute_reply":"2025-09-24T18:20:31.05139Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from scipy.stats import skew, kurtosis\n\ndef extract_global_flux_features(total_flux):\n    features = {}\n    \n    # Basic statistics\n    features['global_flux_mean'] = np.mean(total_flux)\n    features['global_flux_std'] = np.std(total_flux)\n    features['global_flux_min'] = np.min(total_flux)\n    features['global_flux_max'] = np.max(total_flux)\n    features['global_flux_range'] = features['global_flux_max'] - features['global_flux_min']\n    features['global_flux_skew'] = skew(total_flux)\n    features['global_flux_kurtosis'] = kurtosis(total_flux)\n    features['global_flux_cv'] = features['global_flux_std'] / features['global_flux_mean']\n    \n    # Percentiles\n    for p in [1, 5, 10, 25, 50, 75, 90, 95, 99]:\n        features[f'global_flux_p{p}'] = np.percentile(total_flux, p)\n    \n    # Transit depth features\n    features['global_flux_depth'] = features['global_flux_mean'] - features['global_flux_min']\n    features['global_flux_depth_ratio'] = features['global_flux_depth'] / features['global_flux_mean']\n    \n    return features\n    \n# Demo: Global Flux Features\nglobal_features = extract_global_flux_features(fgs1_light_curve)\nprint(f\"Generated {len(global_features)} global flux features:\")\n\n# Print ALL features organized by category\nprint(\"\\nBasic Statistics:\")\nbasic_stats = ['global_flux_mean', 'global_flux_std', 'global_flux_min', 'global_flux_max', \n               'global_flux_range', 'global_flux_skew', 'global_flux_kurtosis', 'global_flux_cv']\nfor feature in basic_stats:\n    print(f\"  {feature}: {global_features[feature]:.4f}\")\n\nprint(\"\\nPercentiles:\")\nfor p in [1, 5, 10, 25, 50, 75, 90, 95, 99]:\n    feature = f'global_flux_p{p}'\n    print(f\"  {feature}: {global_features[feature]:.4f}\")\n\nprint(\"\\nTransit Depth:\")\ntransit_features = ['global_flux_depth', 'global_flux_depth_ratio']\nfor feature in transit_features:\n    print(f\"  {feature}: {global_features[feature]:.6f}\")                                                                                                              \n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:36.582504Z","iopub.execute_input":"2025-09-24T18:20:36.583236Z","iopub.status.idle":"2025-09-24T18:20:36.611959Z","shell.execute_reply.started":"2025-09-24T18:20:36.583212Z","shell.execute_reply":"2025-09-24T18:20:36.61126Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Cleaning and Normalizing Light Curve","metadata":{}},{"cell_type":"code","source":"from scipy.signal import medfilt\n\n# performing sigma clipping\n\n'''In a dataset, most points cluster around some expected value (like the median or mean).Points that are too far away (in terms of standard deviation, \ni.e. “sigma”) are likely outliers (noise, cosmic rays, bad sensor readings, etc.).'''\n\ndef sigma_clip(data, window_size=51, sigma=5):\n    \"\"\"Simple sigma clipping function.\"\"\"\n    #calculating the median data using medfilt\n    local_median = medfilt(data, kernel_size=window_size)\n    residual = data - local_median\n    mad = np.median(np.abs(residual))\n    robust_std = mad * 1.4826\n    outliers = np.abs(residual) > (sigma * robust_std)\n    clean_data = data.copy()\n    clean_data[outliers] = np.nan\n    return clean_data, outliers\n\nprint(\"--- 1. Performing Sigma Clipping on AIRS-CH0 Data ---\")\nairs_clipped, airs_outliers = sigma_clip(airs_diff)\n\n# --- 2. Detrending and Normalization - This code is unchanged ---\nout_of_transit_mask = np.ones_like(airs_clipped, dtype=bool)\nout_of_transit_mask[1700:4200] = False\nout_of_transit_mask[np.isnan(airs_clipped)] = False\nx_axis = np.arange(len(airs_clipped))\npoly_coeffs = np.polyfit(x_axis[out_of_transit_mask], airs_clipped[out_of_transit_mask], 2)\nbaseline_model = np.polyval(poly_coeffs, x_axis)\nairs_normalized = airs_clipped / baseline_model\n\n# --- 3. Visualize the Entire Cleaning Process (Seaborn/Matplotlib version) ---\nprint(\"\\n--- 2. Visualizing the Cleaning Pipeline ---\")\n\n# Create a figure with 2 subplots, one on top of the other, sharing the x-axis\nfig, axes = plt.subplots(nrows=2, ncols=1, figsize=(14, 10), sharex=True)\n\n# --- Top Plot: Sigma Clipping and Baseline Fitting ---\nax_top = axes[0]\n# Plot 1: The original differential data as a light background line\nsns.lineplot(x=x_axis, y=airs_diff, ax=ax_top, color='lightgrey', label='Original Diff. Data')\n# Plot 2: The baseline model as a thick orange line\nsns.lineplot(x=x_axis, y=baseline_model, ax=ax_top, color='orange', linewidth=3, label='Baseline Fit')\n# Plot 3: The clipped outliers as red markers\n# Note: we plot the original 'airs_diff' values at the outlier indices\nsns.scatterplot(x=x_axis[airs_outliers], y=airs_diff[airs_outliers], ax=ax_top, color='red', marker='o', s=50, label='Clipped Outliers', zorder=5)\n\nax_top.set_title('Step 1: Sigma Clipping and Baseline Fitting', fontsize=16)\nax_top.set_ylabel('Flux', fontsize=12)\nax_top.legend()\n\n\n# --- Bottom Plot: Final Normalized Light Curve ---\nax_bottom = axes[1]\nsns.lineplot(x=x_axis, y=airs_normalized, ax=ax_bottom, color='dodgerblue', label='Normalized Flux')\nax_bottom.set_title('Step 2: Final Normalized Light Curve', fontsize=16)\nax_bottom.set_ylabel('Normalized Flux', fontsize=12)\nax_bottom.set_xlabel('Measurement Number', fontsize=12)\n# Set y-axis limits to better see the transit depth\nax_bottom.set_ylim(bottom=min(0.98, np.nanmin(airs_normalized) - 0.005), top=1.01)\nax_bottom.legend()\n\n\nfig.suptitle(f\"Data Cleaning Pipeline for Planet {planet_id_sample} (AIRS-CH0)\", fontsize=20, y=1.0)\nplt.tight_layout(rect=[0, 0, 1, 0.97])\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:41.508274Z","iopub.execute_input":"2025-09-24T18:20:41.508567Z","iopub.status.idle":"2025-09-24T18:20:42.171975Z","shell.execute_reply.started":"2025-09-24T18:20:41.508547Z","shell.execute_reply":"2025-09-24T18:20:42.171282Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Explanation of the cleaning process and the graph acheived\n\n**1. SIGMA CLIPPING**\nIn exoplanet light curves, raw telescope data often contains spikes or sudden jumps (caused by cosmic rays hitting the detector, instrumental glitches, or spacecraft jitter). If we don’t remove them, these spurious points can distort transit detection, they might mimic a transit dip. Or they might hide the real transit. Sigma clipping helps clean the light curve before detrending and normalization, so we get a much smoother and reliable signal. We can understand sigma clipping as: trying to hear a faint whisper (planet transit) in a noisy room. Sigma clipping is like identifying and muting the sudden loud coughs and chair squeaks so your ear can better focus on the whisper.\n\n","metadata":{}},{"cell_type":"markdown","source":"# Plotting the single detector frame of the two instruments","metadata":{}},{"cell_type":"code","source":"print(\"--- Examining the Raw Data Structure ---\")\nprint(f\"Shape of FGS1 signal data: {fgs1_raw_df.shape}\")\nprint(f\"Expected pixel count for a 32x32 detector: 32 * 32 = {32*32}\\n\")\n\nprint(f\"Shape of AIRS-CH0 signal data: {airs_raw_df.shape}\")\nprint(f\"Expected pixel count for a 32x356 detector: 32 * 356 = {32*356}\\n\")\n\ngain = adc_info['FGS1_adc_gain'].iloc[0]\noffset = adc_info['FGS1_adc_offset'].iloc[0]\n\n# FGS1 Data\nframe_index_fgs1 = 5000\nfgs1_frame_flat = fgs1_raw_df.iloc[frame_index_fgs1]\nfgs1_frame_corrected = fgs1_frame_flat * gain + offset\nfgs1_frame_2d = fgs1_frame_corrected.values.reshape(32, 32)\n\n# AIRS-CH0 Data\nframe_index_airs = 5000\nairs_frame_flat = airs_raw_df.iloc[frame_index_airs]\nairs_frame_corrected = airs_frame_flat * gain + offset\nairs_frame_2d = airs_frame_corrected.values.reshape(32, 356)\n\nprint(\"--- Visualizing Detector Frames with Seaborn ---\")\n\n\n# We make the figure wider to accommodate the long AIRS-CH0 detector\nfig, axes = plt.subplots(nrows=2, ncols=1, figsize=(15, 10))\n\n# --- FGS1 Visualization (Top Plot) ---\nax_fgs1 = axes[0]\nsns.heatmap(\n    fgs1_frame_2d,\n    ax=ax_fgs1,\n    cmap='viridis', # This is the same color scale as in Plotly\n    cbar_kws={'label': 'Flux'} # Add a label to the color bar\n)\nax_fgs1.set_title(f'FGS1 Detector Frame #{frame_index_fgs1}', fontsize=16)\nax_fgs1.set_xlabel('Pixel Column', fontsize=12)\nax_fgs1.set_ylabel('Pixel Row', fontsize=12)\n\n# --- AIRS-CH0 Visualization (Bottom Plot) ---\nax_airs = axes[1]\nsns.heatmap(\n    airs_frame_2d,\n    ax=ax_airs,\n    cmap='viridis',\n    cbar_kws={'label': 'Flux'}\n)\nax_airs.set_title(f'AIRS-CH0 Detector Frame #{frame_index_airs}', fontsize=16)\nax_airs.set_xlabel('Wavelength Axis (Pixel Column)', fontsize=12)\nax_airs.set_ylabel('Spatial Axis (Pixel Row)', fontsize=12)\n\n\n# --- Final Touches ---\nfig.suptitle(f\"Single Detector Frames for Planet {planet_id_sample}\", fontsize=20, y=1.0)\nplt.tight_layout(rect=[0, 0, 1, 0.97])\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T18:20:47.286505Z","iopub.execute_input":"2025-09-24T18:20:47.286921Z","iopub.status.idle":"2025-09-24T18:20:48.35706Z","shell.execute_reply.started":"2025-09-24T18:20:47.286897Z","shell.execute_reply":"2025-09-24T18:20:48.356192Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Creating the model","metadata":{}},{"cell_type":"code","source":"print(train_df.head())","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-09-24T19:24:23.897071Z","iopub.execute_input":"2025-09-24T19:24:23.897729Z","iopub.status.idle":"2025-09-24T19:24:23.9106Z","shell.execute_reply.started":"2025-09-24T19:24:23.897705Z","shell.execute_reply":"2025-09-24T19:24:23.909707Z"}},"outputs":[],"execution_count":null}]}