# Aplicação - Uso !!! info "Informação" Uma versão desta página para o Jupyter Notebook pode ser encontrada em [https://github.com/GAD-DIMNT-CPTEC/readDiag/blob/master/notebooks/readDiag_Radiancia_tutorial_completo-pt_br.ipynb](https://github.com/GAD-DIMNT-CPTEC/readDiag/blob/master/notebooks/readDiag_Radiancia_tutorial_completo-pt_br.ipynb). Se preferir interagir com o notebook, clique no botão abaixo para utilizar o Google Colab. Open In Colab ## Utilização da classe `read_diag` ### Bibliotecas necessárias Para iniciar a utilização do `readDiag`, carregue primeiro as bibliotecas necessárias para a sua utilização: * `gsidiag`: é a biblioteca que contém as classes `read_diag` e `plot_diag`; * `pandas`: é a biblioteca que fornece as estruturas de dados tabulados utilizadas pelo `readDiag`; * `matplotlib`: é a biblioteca a partir da qual são confeccionadas as figuras; * `datetime`: é a biblioteca utilizada para manipular datas. A instrução `%matplotlib inline` é um comando mágico do Jupyter e apenas ajusta o ambiente para que não seja necessário utilizar o comando `plt.show()` sempre que figuras forem mostradas dentro do notebook. Se você estiver utilizando o `readDiag` dentro de um script Python, esta diretiva pode ser suprimida e o comando `plt.show()` deve ser utilizado, a depender da situação. ```python linenums="1" import gsidiag as gd import pandas as pd import matplotlib.pyplot as plt from datetime import datetime, timedelta ``` ### Variáveis principais Na tabela a seguir, estão relacionadas os valores padrão das variáveis utilizadas ao longo deste tutorial. Observe que as variáveis possuem diferentes tipos e que algumas podem ser declaradas como `None`. | Variáveis | | Valores | Tipo | | :---: |:---:| :--- | :--- | | `DIRdiag` | = | `/pesq/share/das/dist/joao.gerd/EXP18/GSI/dataout` | string | |`varName` | = | `uv` | string | |`varType` | = | `220` | integer | |`dateIni` | = | `2019121000` | string | |`dateFin` | = | `2019121118` | string | |`nHour` | = | `6` | string | |`vminOMA` | = | `-2.0` | float | |`vmaxOMA` | = | `2.0` | float | |`vminSTD` | = | `0.0` | float | |`vmaxSTD` | = | `14.0` | float | |`Level` | = | `1000` | integer ou `None` | |`Lay` | = | `15` | integer ou `None` | |`SingleL` | = | `OneL` | string | Dessa forma, na célula a seguir são ajustadas as variáveis seguindo os valores da tabela acima. Além disso, são ajustados também os valores das datas para compor o caminho e os nomes dos arquivos de diagnóstico do GSI: === "Comando" ```python linenums="1" # Para uso na Egeon #DIRdiag = "/pesq/share/das/dist/joao.gerd/EXP18/GSI/dataout" # Para uso na Itapemirim (Colorado, Ilopolis e outras máquinas virtuais) #DIRdiag = "/share/das/dist/joao.gerd/EXP18/GSI/dataout" # Para uso em máquina local (neste caso, o diretório remoto deverá ser montado localmente com o comando sshfs) # Exemplo: # $ sshfs username@egeon.cptec.inpe.br:/pesq/share/das/dist/joao.gerd/EXP18/GSI/dataout /extra2/EGEON_EXP18_GSI_dataout # ou # $ sshfs username@itapemirim.cptec.inpe.br:/share/das/dist/joao.gerd/EXP18/GSI/dataout /extra2/EGEON_EXP18_GSI_dataout DIRdiag = '/extra2/EGEON_EXP18_GSI_dataout' varName = 'uv' varType = 220 dateIni = '2019121000' dateFin = '2019121118' nHour = '6' vminOMA = -2.0 vmaxOMA = 2.0 vminSTD = 0.0 vmaxSTD = 14.0 Level = 1000 Lay = 15 SingleL = 'OneL' datei = datetime.strptime(str(dateIni), '%Y%m%d%H') datef = datetime.strptime(str(dateFin), '%Y%m%d%H') dates = [dates.strftime('%Y%m%d%H') for dates in pd.date_range(datei, datef,freq='6H').tolist()] print(dates) ``` === "Resultado" ```python linenums="1" ['2019121000', '2019121006', '2019121012', '2019121018', '2019121100', '2019121106', '2019121112', '2019121118'] ``` Gerando as variáveis `path` e `pathc` onde estarão os caminhos completos (incluindo nome do arquivo) dos arquivos diagnósticos do primeiro (OmF) e último (OmA) outer loop: === "Comando" ```python linenums="1" paths, pathsc = [], [] OuterL = '01' [paths.append(DIRdiag + '/' + dt + '/diag_conv_' + OuterL + '.' + dt) for dt in dates] OuterLc = '03' [pathsc.append(DIRdiag + '/' + dt + '/diag_conv_' + OuterLc + '.' + dt) for dt in dates] print(paths) print('') print(pathsc) ``` === "Resultado" ```python linenums="1" ['/extra2/EGEON_EXP18_GSI_dataout/2019121000/diag_conv_01.2019121000', '/extra2/EGEON_EXP18_GSI_dataout/2019121006/diag_conv_01.2019121006', '/extra2/EGEON_EXP18_GSI_dataout/2019121012/diag_conv_01.2019121012', '/extra2/EGEON_EXP18_GSI_dataout/2019121018/diag_conv_01.2019121018', '/extra2/EGEON_EXP18_GSI_dataout/2019121100/diag_conv_01.2019121100', '/extra2/EGEON_EXP18_GSI_dataout/2019121106/diag_conv_01.2019121106', '/extra2/EGEON_EXP18_GSI_dataout/2019121112/diag_conv_01.2019121112', '/extra2/EGEON_EXP18_GSI_dataout/2019121118/diag_conv_01.2019121118'] ['/extra2/EGEON_EXP18_GSI_dataout/2019121000/diag_conv_03.2019121000', '/extra2/EGEON_EXP18_GSI_dataout/2019121006/diag_conv_03.2019121006', '/extra2/EGEON_EXP18_GSI_dataout/2019121012/diag_conv_03.2019121012', '/extra2/EGEON_EXP18_GSI_dataout/2019121018/diag_conv_03.2019121018', '/extra2/EGEON_EXP18_GSI_dataout/2019121100/diag_conv_03.2019121100', '/extra2/EGEON_EXP18_GSI_dataout/2019121106/diag_conv_03.2019121106', '/extra2/EGEON_EXP18_GSI_dataout/2019121112/diag_conv_03.2019121112', '/extra2/EGEON_EXP18_GSI_dataout/2019121118/diag_conv_03.2019121118'] ``` ### Leitura dos arquivos de diagnósticos !!! warning "Atenção" A leitura dos arquivos de diagnóstico seguindo os valores ajustados para os parâmetros acima, requer pelo menos 8GB de memória RAM. Caso seja necessário, ajuste os parâmetros para considerar um intervalo menor. Lendo os arquivos diagnósticos com a função `read_diag()` do pacote `readDiag`. No trecho de código a seguir, observe que a função `read_diag()` é utilizada dentro de um loop que varia sobre todos os arquivos das listas `paths` e `pathsc` definidas no passo anterior. No final do loop, é gerada a lista `gdf_list` que conterá todos os arquivos lidos pelo `readDiag`: === "Comando" ```python linenums="1" read = True if read: gdf_list = [] print('') print('Aguarde, o tempo total estimado para a leitura dos arquivos é de ' + str(int((float(len(paths))*20)/60)) + ' minutos e ' + str(int((float(len(paths))*20)%60)) + ' segundos.') print('') for path, pathc in zip(paths, pathsc): print('Reading ' + path) gdf = gd.read_diag(path, pathc) gdf_list.append(gdf) print('Pronto!') ``` === "Resultado" ```python linenums="1" Aguarde, o tempo total estimado para a leitura dos arquivos é de 2 minutos e 40 segundos. Reading /extra2/EGEON_EXP18_GSI_dataout/2019121000/diag_conv_01.2019121000 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121006/diag_conv_01.2019121006 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121012/diag_conv_01.2019121012 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121018/diag_conv_01.2019121018 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121100/diag_conv_01.2019121100 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121106/diag_conv_01.2019121106 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121112/diag_conv_01.2019121112 >>> GSI DIAG <<< Reading /extra2/EGEON_EXP18_GSI_dataout/2019121118/diag_conv_01.2019121118 >>> GSI DIAG <<< Pronto! ``` A variável `gdf_list` é uma lista de dataframes contendo os dados de cada arquivo diagnóstico. Para trabalhar com um único tempo basta informar a lista com o índice fixo, por exemplo: `gdf_list[0]`: === "Comando" ```python linenums="1" gdf_list ``` === "Resultado" ```python linenums="1" [, , , , , , , ] ``` Fazendo `tidx = 0`, obtemos o primeiro objeto da lista `gdf_list`: === "Comando" ```python linenums="1" tidx = 0 gdf_list[tidx] ``` === "Resultado" ```python linenums="1" ``` ### Obtendo informações dos arquivos Utilize a função `pfileinfo()` para obter uma lista das observações e seus respectivos tipos (`kx`) que estão contidos dentro do arquivo: === "Comando" ```python linenums="1" gdf_list[tidx].pfileinfo() ``` === "Resultado" ```python linenums="1" Variable Name : ps └── kx => 181 120 187 180 183 Variable Name : t └── kx => 181 120 187 180 183 130 126 Variable Name : q └── kx => 181 120 187 180 183 Variable Name : uv └── kx => 257 259 258 244 281 253 254 220 287 280 221 284 230 243 210 252 242 250 229 224 282 245 246 247 240 ``` Além do método `pfileinfo()`, outros métodos e funções também podem ser utilizados para acessar as informações sobre os arquivos abertos. Para obter uma lista dos métodos e funções disponíveis, digite `gdf_list[tidx].` e pressione a tecla `` duas vezes no teclado: ```python linenums="1" >>> gdf_list[tidx]. gdf_list[tidx].close( gdf_list[tidx].obsInfo gdf_list[tidx].pfileinfo( gdf_list[tidx].zlevs gdf_list[tidx].tocsv( gdf_list[tidx].overview( gdf_list[tidx].varNames gdf_list[tidx].obs ``` Os métodos e funções embutidas possuem documentação, as quais podem ser acessadas da seguinte forma: ```python linenums="1" print(object.function_name.__doc__) ``` ou ```python linenums="1" help(object.function_name) ``` Por exemplo: === "Comando" ```python linenums="1" print(gdf_list[tidx].pfileinfo.__doc__) ``` === "Resultado" ```python linenums="1" Prints a fancy list of the existing variables and types. Usage: pfileinfo() ``` ou ainda: === "Comando" ```python linenums="1" help(gdf_list[tidx].pfileinfo) ``` === "Resultado" ```python linenums="1" Help on method pfileinfo in module gsidiag.__main__: pfileinfo() method of gsidiag.__main__.read_diag instance Prints a fancy list of the existing variables and types. Usage: pfileinfo() ``` Para obter um dicionário com todas as informações sobre as variáveis e tipos contidos no arquivo, utilize o método `obsInfo`: === "Comando" ```python linenums="1" gdf_list[tidx].obsInfo ``` === "Resultado" ```python linenums="1" {'ps': lat lon elev prs hgt press time \ kx points 181 0 -72.000000 2.520000 1290.0 852.099976 1290.0 800.0 0.0 1 -70.760002 11.830000 123.0 987.700012 123.0 900.0 0.0 2 -72.000000 2.520000 1290.0 852.400024 1290.0 800.0 60.0 3 -72.000000 2.520000 1290.0 852.099976 1290.0 800.0 120.0 4 -72.000000 2.520000 1290.0 852.400024 1290.0 800.0 -60.0 ... ... ... ... ... ... ... ... 183 3600 65.680000 341.929993 27.0 982.299988 27.0 900.0 -180.0 3601 63.779999 341.929993 38.0 977.599976 38.0 900.0 -180.0 3602 66.449997 344.049988 10.0 989.299988 10.0 900.0 -180.0 3603 63.779999 341.929993 38.0 972.599976 38.0 900.0 0.0 3604 66.449997 344.049988 10.0 984.200012 10.0 900.0 0.0 idqc iuse iusev ... inp_err adj_err inverr \ kx points ... 181 0 2.0 1.0 0.0 ... 1.000000e+00 1.000000e+00 2.684909e-01 1 2.0 1.0 0.0 ... 1.000000e+00 1.000000e+00 5.507368e-01 2 2.0 1.0 0.0 ... 1.000000e+00 1.000000e+00 2.689506e-01 3 2.0 1.0 0.0 ... 1.000000e+00 1.000000e+00 2.738240e-01 4 2.0 1.0 0.0 ... 1.000000e+00 1.000000e+00 2.748610e-01 ... ... ... ... ... ... ... ... 183 3600 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 1.000000e-11 3601 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 1.000000e-11 3602 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 1.000000e-11 3603 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 1.000000e-11 3604 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 1.000000e-11 oer obs omf oma imp \ kx points 181 0 3.689821e+00 852.099976 2.616960 1.882513 -8.956059e-01 1 1.795848e+00 987.700012 1.048871 0.143297 -6.011624e-01 2 3.683941e+00 852.400024 2.931195 2.196748 -1.022330e+00 3 3.618501e+00 852.099976 2.632484 1.898037 -9.195598e-01 4 3.603527e+00 852.400024 2.977133 2.242685 -1.063870e+00 ... ... ... ... ... ... 183 3600 1.000000e+11 982.299988 4.375452 0.995740 -1.815308e-10 3601 1.000000e+11 977.599976 -0.614942 -3.658909 1.300946e-10 3602 1.000000e+11 989.299988 4.233233 1.677821 -1.510518e-10 3603 1.000000e+11 972.599976 -1.276419 -4.320014 1.703327e-10 3604 1.000000e+11 984.200012 4.378825 1.823362 -1.584946e-10 dfs geometry kx points 181 0 -5.208976e-01 POINT (2.52000 -72.00000) 1 -5.289034e-01 POINT (11.83000 -70.76000) 2 -5.843764e-01 POINT (2.52000 -72.00000) 3 -5.343153e-01 POINT (2.52000 -72.00000) 4 -6.067804e-01 POINT (2.52000 -72.00000) ... ... ... 183 3600 -1.478777e-10 POINT (-18.07001 65.68000) 3601 1.871863e-11 POINT (-18.07001 63.78000) 3602 -1.081766e-10 POINT (-15.95001 66.45000) 3603 3.884901e-11 POINT (-18.07001 63.78000) 3604 -1.118992e-10 POINT (-15.95001 66.45000) [82566 rows x 21 columns], 't': lat lon elev prs hgt press time \ kx points 181 0 -72.000000 2.52000 1290.0 852.099976 1290.0 800.0 0.0 1 -70.760002 11.83000 123.0 987.700012 123.0 900.0 0.0 2 -72.000000 2.52000 1290.0 852.400024 1290.0 800.0 60.0 3 -72.000000 2.52000 1290.0 852.099976 1290.0 800.0 120.0 4 -72.000000 2.52000 1290.0 852.400024 1290.0 800.0 -60.0 ... ... ... ... ... ... ... ... 126 3351 39.709999 280.98999 763.0 892.900024 1054.0 800.0 150.0 3352 39.709999 280.98999 763.0 886.000000 1118.0 800.0 150.0 3353 39.709999 280.98999 763.0 879.000000 1183.0 800.0 150.0 3354 39.709999 280.98999 763.0 872.099976 1247.0 800.0 150.0 3355 39.709999 280.98999 763.0 865.299988 1312.0 800.0 150.0 idqc iuse iusev ... inp_err adj_err inverr \ kx points ... 181 0 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 9.090909e-12 1 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 9.090909e-12 2 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 9.090909e-12 3 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 9.090909e-12 4 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-11 9.090909e-12 ... ... ... ... ... ... ... ... 126 3351 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-17 1.000000e-17 3352 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-17 1.000000e-17 3353 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-17 1.000000e-17 3354 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-17 1.000000e-17 3355 9.0 -1.0 101.0 ... 1.000000e-11 1.000000e-17 1.000000e-17 oer obs omf oma imp \ kx points 181 0 1.100000e+11 266.750000 5.638822 5.409732 -2.301008e-11 1 1.100000e+11 273.850006 6.480910 6.229341 -2.906831e-11 2 1.100000e+11 267.049988 5.925752 5.696663 -2.420519e-11 3 1.100000e+11 267.149994 6.012683 5.783593 -2.456731e-11 4 1.100000e+11 266.549988 5.074802 4.845712 -2.066080e-11 ... ... ... ... ... ... 126 3351 1.000000e+17 287.250000 4.286700 2.850528 -1.025029e-16 3352 1.000000e+17 286.350006 3.588516 2.029374 -8.759085e-17 3353 1.000000e+17 286.350006 3.845302 2.211233 -9.896797e-17 3354 1.000000e+17 286.149994 3.865214 2.203462 -1.008463e-16 3355 1.000000e+17 285.149994 3.036773 1.390132 -7.289526e-17 dfs geometry kx points 181 0 -1.174360e-11 POINT (2.52000 -72.00000) 1 -1.482183e-11 POINT (11.83000 -70.76000) 2 -1.234115e-11 POINT (2.52000 -72.00000) 3 -1.252222e-11 POINT (2.52000 -72.00000) 4 -1.056896e-11 POINT (2.52000 -72.00000) ... ... ... 126 3351 -6.156439e-17 POINT (-79.01001 39.71000) 3352 -5.595004e-17 POINT (-79.01001 39.71000) 3353 -6.283490e-17 POINT (-79.01001 39.71000) 3354 -6.423026e-17 POINT (-79.01001 39.71000) 3355 -5.000478e-17 POINT (-79.01001 39.71000) [116439 rows x 21 columns], 'q': lat lon elev prs hgt press time \ kx points 181 0 -72.000000 2.520000 1290.0 852.099976 1290.0 800.0 0.0 1 -70.760002 11.830000 123.0 987.700012 123.0 900.0 0.0 2 -72.000000 2.520000 1290.0 852.400024 1290.0 800.0 60.0 3 -72.000000 2.520000 1290.0 852.099976 1290.0 800.0 120.0 4 -72.000000 2.520000 1290.0 852.400024 1290.0 800.0 -60.0 ... ... ... ... ... ... ... ... 183 2660 65.680000 341.929993 27.0 982.299988 27.0 900.0 -180.0 2661 63.779999 341.929993 38.0 977.599976 38.0 900.0 -180.0 2662 66.449997 344.049988 10.0 989.299988 10.0 900.0 -180.0 2663 63.779999 341.929993 38.0 972.599976 38.0 900.0 0.0 2664 66.449997 344.049988 10.0 984.200012 10.0 900.0 0.0 idqc iuse iusev ... inp_err adj_err inverr \ kx points ... 181 0 9.0 -1.0 101.0 ... 0.000054 0.000054 0.000054 1 9.0 -1.0 101.0 ... 0.000039 0.000039 0.000039 2 9.0 -1.0 101.0 ... 0.000054 0.000054 0.000054 3 9.0 -1.0 101.0 ... 0.000054 0.000054 0.000054 4 9.0 -1.0 101.0 ... 0.000053 0.000053 0.000053 ... ... ... ... ... ... ... ... 183 2660 9.0 -1.0 102.0 ... 0.000028 0.000028 0.000028 2661 9.0 -1.0 102.0 ... 0.000024 0.000024 0.000024 2662 9.0 -1.0 102.0 ... 0.000024 0.000024 0.000024 2663 9.0 -1.0 102.0 ... 0.000024 0.000024 0.000024 2664 9.0 -1.0 102.0 ... 0.000025 0.000025 0.000025 oer obs omf oma imp \ kx points 181 0 1.871621e+10 1.562 0.147178 0.146827 -5.506964e-15 1 2.613980e+10 2.092 0.246853 0.246150 -1.326650e-14 2 1.876213e+10 1.523 0.143555 0.143204 -5.358170e-15 3 1.880805e+10 1.462 0.117932 0.117581 -4.389752e-15 4 1.926510e+10 1.667 0.163603 0.163252 -5.947479e-15 ... ... ... ... ... ... 183 2660 3.369109e+10 3.083 -0.273933 -0.258595 -2.424459e-13 2661 3.843422e+10 4.159 0.867337 0.867106 -1.045875e-14 2662 3.916033e+10 3.604 -0.224209 -0.135418 -8.154096e-13 2663 3.862750e+10 4.241 1.041719 1.041487 -1.249572e-14 2664 3.823060e+10 3.955 -0.032830 0.132701 4.324247e-13 dfs geometry kx points 181 0 -2.756724e-15 POINT (2.52000 -72.00000) 1 -6.642705e-15 POINT (11.83000 -70.76000) 2 -2.682395e-15 POINT (2.52000 -72.00000) 3 -2.198141e-15 POINT (2.52000 -72.00000) 4 -2.976934e-15 POINT (2.52000 -72.00000) ... ... ... 183 2660 -1.247146e-13 POINT (-18.07001 65.68000) 2661 -5.229694e-15 POINT (-18.07001 63.78000) 2662 -5.083661e-13 POINT (-15.95001 66.45000) 2663 -6.249719e-15 POINT (-18.07001 63.78000) 2664 -1.421482e-13 POINT (-15.95001 66.45000) [102785 rows x 21 columns], 'uv': lat lon elev prs hgt press time idqc \ kx points 257 0 -78.699997 14.860000 61068.0 487.0 30.0 400.0 -66.0 2.0 1 -78.769997 16.080000 60056.0 487.0 54.0 400.0 -66.0 2.0 2 -78.870003 16.120001 72079.0 500.0 37.0 500.0 -66.0 2.0 3 -80.500000 12.490000 80084.0 562.0 47.0 500.0 -66.0 2.0 4 -80.290001 13.620000 64059.0 512.0 56.0 500.0 -66.0 2.0 ... ... ... ... ... ... ... ... ... 240 7107 13.980000 245.070007 74084.0 925.0 47.0 900.0 171.0 2.0 7108 13.690000 241.919998 79080.0 887.0 64.0 800.0 171.0 2.0 7109 13.710000 244.139999 57051.0 887.0 70.0 800.0 171.0 2.0 7110 13.520000 247.809998 56054.0 906.0 65.0 900.0 171.0 2.0 7111 13.510000 250.479996 80087.0 906.0 60.0 900.0 171.0 2.0 iuse iusev ... inp_err adj_err inverr \ kx points ... 257 0 -1.0 0.0 ... 2.307337e-01 2.307337e-01 2.938736e-39 1 -1.0 0.0 ... 2.307337e-01 2.307337e-01 2.938736e-39 2 -1.0 0.0 ... 2.439024e-01 2.439024e-01 2.938736e-39 3 -1.0 0.0 ... 2.500000e-01 2.500000e-01 2.938736e-39 4 -1.0 0.0 ... 2.453386e-01 2.453386e-01 2.938736e-39 ... ... ... ... ... ... ... 240 7107 -1.0 100.0 ... 1.000000e-09 1.000000e-09 1.000000e-09 7108 -1.0 100.0 ... 1.000000e-09 1.000000e-09 1.000000e-09 7109 -1.0 100.0 ... 1.000000e-09 1.000000e-09 1.000000e-09 7110 -1.0 100.0 ... 1.000000e-09 1.000000e-09 1.000000e-09 7111 -1.0 100.0 ... 1.000000e-09 1.000000e-09 1.000000e-09 oer obs omf oma imp \ kx points 257 0 NaN -2.250000 -5.155063 -5.807309 NaN 1 NaN 0.934964 -2.355014 -2.984500 NaN 2 NaN 0.988129 -2.418580 -3.046497 NaN 3 NaN 3.983431 0.595628 0.257419 NaN 4 NaN 3.680218 0.498253 0.008589 NaN ... ... ... ... ... ... 240 7107 1.000000e+09 -7.203239 -0.806275 -0.955513 2.629265e-10 7108 1.000000e+09 -7.751757 -1.638531 -1.589939 -1.568761e-10 7109 1.000000e+09 -7.044833 -4.839164 -4.851346 1.180420e-10 7110 1.000000e+09 -7.018799 -2.621243 -2.872725 1.381637e-09 7111 1.000000e+09 -4.978588 -1.019387 -1.283688 6.087035e-10 dfs geometry kx points 257 0 NaN POINT (14.86000 -78.70000) 1 NaN POINT (16.08000 -78.77000) 2 NaN POINT (16.12000 -78.87000) 3 NaN POINT (12.49001 -80.50000) 4 NaN POINT (13.62000 -80.29000) ... ... ... 240 7107 1.203272e-10 POINT (-114.92999 13.98000) 7108 -7.961867e-11 POINT (-118.08002 13.69000) 7109 5.894722e-11 POINT (-115.85999 13.71000) 7110 6.591968e-10 POINT (-112.19000 13.52000) 7111 2.694244e-10 POINT (-109.52002 13.51000) [435598 rows x 21 columns]} ``` Para acessar uma variável específica (ex: `uv`), faça: === "Comando" ```python linenums="1" print('Variável: ', varName) gdf_list[tidx].obsInfo[varName] ``` === "Resultado" Variável: uv | | |lat |lon |elev | prs |hgt |press |time | idqc|iuse |iusev | ... |inp_err |adj_err |inverr |oer |obs |omf | oma | imp | dfs |geometry | |-----|-------|-----------|-----------|---------|---------|-----|-------|-------|-----|-------|------|------|-------------|---------------|---------------|-------------|-----------|-----------|-------------|-------------|---------------|-----------------------------| |**kx** |**points** | | | | | | | | | | | | | | | | | | | | | | |**257** | **0** |-78.699997 | 14.860000 | 61068.0 | 487.0 |30.0 | 400.0 | -66.0 | 2.0 | -1.0 |0.0 | ... |2.307337e-01 | 2.307337e-01 |2.938736e-39 |NaN |-2.250000 |-5.155063 | -5.807309 | NaN | NaN |POINT (14.86000 -78.70000) | | | **1** |-78.769997 | 16.080000 | 60056.0 | 487.0 |54.0 | 400.0 | -66.0 | 2.0 | -1.0 |0.0 | ... |2.307337e-01 | 2.307337e-01 |2.938736e-39 |NaN |0.934964 | -2.355014| -2.984500 | NaN | NaN |POINT (16.08000 -78.77000) | | | **2** |-78.870003 | 16.120001 | 72079.0 | 500.0 |37.0 | 500.0 | -66.0 | 2.0 | -1.0 |0.0 | ... |2.439024e-01 | 2.439024e-01 |2.938736e-39 |NaN |0.988129 | -2.418580| -3.046497 | NaN | NaN |POINT (16.12000 -78.87000) | | | **3** |-80.500000 | 12.490000 | 80084.0 | 562.0 |47.0 | 500.0 | -66.0 | 2.0 | -1.0 |0.0 | ... |2.500000e-01 | 2.500000e-01 |2.938736e-39 |NaN |3.983431 | 0.595628 | 0.257419 | NaN | NaN |POINT (12.49001 -80.50000) | | | **4** |-80.290001 | 13.620000 | 64059.0 | 512.0 |56.0 | 500.0 | -66.0 | 2.0 | -1.0 |0.0 | ... |2.453386e-01 | 2.453386e-01 |2.938736e-39 |NaN |3.680218 | 0.498253 | 0.008589 | NaN | NaN |POINT (13.62000 -80.29000) | |... |... |... |... |... |... |... |... |... |... | ... |... | ... |... |... |... | ... | ... | ... | ... |... | ... |... | |**240** |**7107** |13.980000 |245.070007 | 74084.0 | 925.0 |47.0 | 900.0 | 171.0 | 2.0 | -1.0 |100.0 | ... |1.000000e-09 | 1.000000e-09 |1.000000e-09 |1.000000e+09 | -7.203239 | -0.806275 | -0.955513 |2.629265e-10 | 1.203272e-10 |POINT (-114.92999 13.98000) | | | **7108** |13.690000 |241.919998 | 79080.0 | 887.0 |64.0 | 800.0 | 171.0 | 2.0 | -1.0 |100.0 | ... |1.000000e-09 | 1.000000e-09 |1.000000e-09 |1.000000e+09 | -7.751757 | -1.638531 | -1.589939 |-1.568761e-10| -7.961867e-11 |POINT (-118.08002 13.69000) | | | **7109** |13.710000 |244.139999 | 57051.0 | 887.0 |70.0 | 800.0 | 171.0 | 2.0 | -1.0 |100.0 | ... |1.000000e-09 | 1.000000e-09 |1.000000e-09 |1.000000e+09 | -7.044833 | -4.839164 | -4.851346 |1.180420e-10 | 5.894722e-11 |POINT (-115.85999 13.71000) | | | **7110** |13.520000 |247.809998 | 56054.0 | 906.0 |65.0 | 900.0 | 171.0 | 2.0 | -1.0 |100.0 | ... |1.000000e-09 | 1.000000e-09 |1.000000e-09 |1.000000e+09 | -7.018799 | -2.621243 | -2.872725 |1.381637e-09 | 6.591968e-10 |POINT (-112.19000 13.52000) | | | **7111** |13.510000 |250.479996 | 80087.0 | 906.0 |60.0 | 900.0 | 171.0 | 2.0 | -1.0 |100.0 | ... |1.000000e-09 | 1.000000e-09 |1.000000e-09 |1.000000e+09 | -4.978588 | -1.019387 | -1.283688 |6.087035e-10 | 2.694244e-10 |POINT (-109.52002 13.51000) | 435598 rows × 21 columns Para acessar variável e tipo específicos (ex: `uv` do tipo `220`), faça: === "Comando" ```python linenums="1" print('Variável: ', varName, ' e Tipo: ', varType) gdf_list[tidx].obsInfo[varName].loc[varType] ``` === "Resultado" Variável: uv e Tipo: 220 | | lat | lon | elev | prs | hgt | press | time |idqc |iuse |iusev| ...| inp_err |adj_err |inverr |oer |obs | omf |oma |imp |dfs |geometry | |------|------------|-------------|-------|------------|---------------|--------|------------|------|-------|-----|----|------------|---------|---------------|---------|------|------------|---------|------------|------------|-------------------------| |**points**| | | | | | | | | | | | | | | | | | | | | | |**0**| -33.980000| 18.600000 | 52.0 |1004.000000 | 1.000000e+11 | 1000.0| -45.000000 | 2.0 | 1.0 |0.0 |... | 0.714286 |0.553566 | 1.418077e-01 |7.787335 | -1.0 | 5.123084 |2.253895 | -2.717996 | -1.887564 |POINT (18.60001 -33.98000)| |**1**| -33.979839| 18.599819 | 52.0 |1000.000000 | 1.000000e+11 | 1000.0| -44.880001 | 2.0 | 1.0 |0.0 |... | 0.714286 |0.553565 | 2.351083e-01 |4.988861 | -3.5 | 2.621643 |-0.247218| -1.365421 | -1.507585 |POINT (18.59982 -33.97984)| |**2**| -33.978512| 18.598080 | 52.0 |975.700012 | 3.000000e+02| 900.0 | -44.173199 | 2.0 | 1.0 |0.0 |... | 0.714286 |0.714286 | 7.142857e-01 |1.400000 | -4.0 | 9.577692 |3.444868 | -57.046478 | -41.955929| POINT (18.59808 -33.97851)| |**3**| -33.977551| 18.596769 | 52.0 |942.400024 | 6.000000e+02| 900.0 | -43.173000 | 2.0 | -1.0 |0.0 |... | 0.666667 |0.652960 | 2.938736e-39 |1.531486 | 0.0 | 16.411770 |9.015676 | -122.798218| -79.258301 | POINT (18.59677 -33.97755)| |**4**| -33.977921| 18.596710 | 52.0 |925.000000 | 1.000000e+11| 900.0 | -42.640198 | 2.0 | -1.0 |0.0 |... | 0.666667 |0.619352 | 2.938736e-39 |1.614591 | -0.4 | 13.814748 |6.904759 | -88.673553 | -59.123161| POINT (18.59671 -33.97792)| | ...| ... | ... | ... | ... | ... | ... | ... | ... | ... |... |... | ... | ... | ... | ... |... | ... | ... | ... | ... | ... | |**37461**| 75.934608 | 344.023560 |14.0 |8.200000 | 1.000000e+11| 0.0 | 48.249001 | 2.0 | 1.0 |0.0 |... | 0.476190 |0.396825 | 3.968254e-01 |2.520000 | 15.0 | -3.926741 |-4.877170| 3.320431 | 1.480986 | POINT (-15.97644 75.93461)| |**37462**| 75.892578 | 344.104126 |14.0 |7.400000 | 1.000000e+11| 0.0 | 50.231998 | 2.0 | 1.0 |0.0 |... | 0.476190 |0.396825 | 3.968254e-01 |2.520000 | 21.6 | 3.278691 |2.275991 | -2.210190 | -1.304581 | POINT (-15.89587 75.89258)| |**37463**| 75.865311 | 344.162476 |14.0 |6.900000 | 1.000000e+11| 0.0 | 51.583801 | 2.0 | 1.0 |0.0 |... | 0.476190 |0.396825 | 3.968254e-01 |2.520000 | 17.4 | -0.492477 |-1.526073| 0.827923 | 0.201993 | POINT (-15.83752 75.86531)| |**37464**| 75.810112 | 344.267883 |14.0 |6.100000 | 1.000000e+11| 0.0 | 53.967602 | 2.0 | 1.0 |0.0 |... | 0.476190 |0.346399 | 3.463990e-01 |2.886844 | 22.6 | 5.281235 |3.752217 | -4.784572 | -2.797208 | POINT (-15.73212 75.81011)| |**37465**| 75.793587 | 344.295898 |14.0 |5.900000 | 1.000000e+11| 0.0 | 54.613201 | 2.0 | 1.0 |0.0 |... | 0.476190 |0.348412 | 3.484119e-01 |2.870166 | 16.9 | -0.252810 |-1.935140| 1.282453 | 0.148183 | POINT (-15.70410 75.79359)| 37466 rows × 21 columns O parâmetro `varType` pode ser também uma lista, ex: `varType=[220,221]`: === "Comando" ```python linenums="1" varTypes = [220,221] print('Variável: ', varName, ' e Tipos: ', varTypes) gdf_list[tidx].obsInfo[varName].loc[varTypes] ``` === "Resultado" Variável: uv e Tipos: [220, 221] | | | lat | lon | elev| prs | hgt | press| time |idqc | iuse |iusev |... |inp_err |adj_err | inverr | oer | obs | omf | oma | imp | dfs | geometry | |---|-------|-----------|----------|---------|-------------|--------------|-------|------------|-----|------|-------|-----|---------|---------|-------------|---------|-----|----------|-----------|-------------|------------|---------------------------| |**kx** |**points** | | | | | | | | | | | | | | | | | | | | | | |**220**| **0** | -33.980000| 18.600000| 52.0 | 1004.000000 | 1.000000e+11 |1000.0 | -45.000000 | 2.0 | 1.0 | 0.0 |... |0.714286 |0.553566 |1.418077e-01 |7.787335 |-1.0 |5.123084 | 2.253895 | -2.717996 | -1.887564 |POINT (18.60001 -33.98000) | | | **1** | -33.979839| 18.599819| 52.0 | 1000.000000 | 1.000000e+11 |1000.0 | -44.880001 | 2.0 | 1.0 | 0.0 |... |0.714286 |0.553565 |2.351083e-01 |4.988861 |-3.5 |2.621643 | -0.247218 | -1.365421 | -1.507585 | POINT (18.59982 -33.97984)| | | **2** | -33.978512| 18.598080| 52.0 | 975.700012 | 3.000000e+02 |900.0 | -44.173199| 2.0| 1.0| 0.0 |... |0.714286 |0.714286 |7.142857e-01 |1.400000 |-4.0 |9.577692 | 3.444868 | -57.046478 | -41.955929 |POINT (18.59808 -33.97851) | | | **3** | -33.977551| 18.596769| 52.0 | 942.400024 | 6.000000e+02 |900.0 | -43.173000| 2.0| -1.0| 0.0 |... |0.666667 |0.652960 |2.938736e-39 |1.531486 | 0.0 |16.411770 | 9.015676 | -122.798218 | -79.258301 |POINT (18.59677 -33.97755) | | | **4** | -33.977921| 18.596710| 52.0 | 925.000000 | 1.000000e+11 |900.0 | -42.640198| 2.0| -1.0| 0.0 |... |0.666667 |0.619352 |2.938736e-39 |1.614591 |-0.4 |13.814748 | 6.904759 | -88.673553 | -59.123161 |POINT (18.59671 -33.97792) | |...| ... | ... | ... | ... | ... | ... | ...| ... | ... |... | ... |... | ... | ... | ... |... | ... | ... | ... | ... | ... | ... | |**221**| **639** | 7.378550 |352.432678| 336.0 | 616.083801 | 4.200000e+03 |600.0 | -32.119801| 2.0| 1.0| 0.0 |... |0.526316 |0.526316 |5.263158e-01 |1.900000 |-10.0| -1.387435| 0.471839| -0.895970 | -1.357695 | POINT (-7.56732 7.37855) | | | **640** | 7.382580 |352.415344| 336.0 | 551.021729 | 5.100000e+03 |500.0 | -29.119799| 2.0| 1.0| 0.0 |... |0.500000 |0.500000 |5.000000e-01 |2.000000 |-11.3| -0.546905| 1.363278| 0.779710 | -0.522345 | POINT (-7.58466 7.38258) | | | **641** | 7.385930 |352.406006| 336.0 | 500.000000 | 1.000000e+11 |500.0 | -27.538200| 2.0| 1.0| 0.0 |... |0.476190 |0.412661 |4.126614e-01 |2.423294 |-10.3| -3.802699| -2.725824| -2.901176 | -1.689862 | POINT (-7.59399 7.38593) | | | **642** | 7.386930 |352.403564| 336.0 | 510.839386 | 5.700000e+03 |500.0 | -27.119999| 2.0| 1.0| 0.0 |... |0.476190 |0.412666 |4.126657e-01 |2.423269 |-10.9| -3.664526| -2.379657| -3.204753 | -1.943009 | POINT (-7.59644 7.38693) | | | **643** | 7.392140 |352.394043| 336.0 | 473.089569 | 6.300000e+03 |400.0 | -25.120199| 2.0| 1.0| 0.0 |... |0.434783 |0.434783 |4.347826e-01 |2.300000 |-6.5 | 2.720051 | 3.510464| 2.141166 | 0.934767 | POINT (-7.60596 7.39214) | 38110 rows × 21 columns Para acessar o valor da observação, utilize o método `obs`: === "Comando" ```python linenums="1" print('Variável: ', varName, ' e Tipo: ', varType) gdf_list[tidx].obsInfo[varName].loc[varType].obs ``` === "Resultado" ```python linenums="1" Variável: uv e Tipo: 220 points 0 -1.0 1 -3.5 2 -4.0 3 0.0 4 -0.4 ... 37461 15.0 37462 21.6 37463 17.4 37464 22.6 37465 16.9 Name: obs, Length: 37466, dtype: float32 ``` ## Utilização da classe `plot_diag` ### Distribuição espacial A utilização das funções da classe `plot_diag` é apresentada abaixo, junto com os comandos para gerar diversos tipos de figuras. Gerando uma figura com os valores das observações (`param='obs'`) para a variável e tipo selecionados: === "Comando" ```python linenums="1" param = 'obs' gd.plot_diag.plot(gdf_list[tidx], varName=varName, varType=varType, param=param, mask='iuse == 1', legend='true') ``` === "Resultado" ![png](../imgs/uv_obs_plot.png) Para salvar a figura, defina o seu nome (`figname`) e execute os comandos a seguir: ```python linenums="1" figname = varName + '_' + param + '_' + 'plot.png' plt.tight_layout() plt.savefig(figname) ``` Gerando a mesma figura, mas considerando vários tipos diferentes (`kx`) da observação selecionada: === "Comando" ```python linenums="1" varTypes = [254,242,221,220,257,258,281,280] idschar = '_'.join([str(item) for item in varTypes]) gd.plot_diag.ptmap(gdf_list[tidx], varName=varName, varType=varTypes) figname = varName + '_' + idschar + '_' + 'ptmap.png' plt.tight_layout() plt.savefig(figname) ``` === "Resultado" ![png](../imgs/uv_254_242_221_220_257_258_281_280_ptmap.png) Gerando uma figura com diferentes variáveis, considerando a máscara `iuse==1`: === "Comando" ```python linenums="1" varNames = ['uv','ps','t'] idschar = '_'.join([str(item) for item in varNames]) gd.plot_diag.pvmap(gdf_list[tidx], varName=varNames, mask='iuse==1') figname = idschar + '_pvmap.png' plt.tight_layout() plt.savefig(figname) ``` === "Resultado" ![png](../imgs/uv_ps_t_pvmap.png) ### Histograma Utilize a função `pcount()` da classe `plot_diag` para obter um histograma com a contagem do número de observações para uma determinada variável: === "Comando" ```python linenums="1" gd.plot_diag.pcount(gdf_list[tidx], varName) ``` === "Resultado" ![png](../imgs/hist_uv_kx.png) Utilize a função `vcount()` da classe `plot_diag` para obter um histograma com a contagem do número de observações para todos os tipos de variáveis: === "Comando" ```python linenums="1" gd.plot_diag.vcount(gdf_list[tidx]) ``` === "Resultado" ![png](../imgs/hist_tot_obs.png) De forma semelhante, utilize a função `kxcount()` da classe `plot_diag` para obter um histograma com a contagem do número de observações por tipo: === "Comando" ```python linenums="1" gd.plot_diag.kxcount(gdf_list[tidx]) ``` === "Resultado" ![png](../imgs/hist_tot_obs_kx.png) ### Série temporal A seguir são apresentadas as opções de figuras com a função `time_series()`, incluída na classe `plot_diag`. Inicialmente é gerada uma figura com os parâmetros já fixados nesta seção. Em seguida são apresentadas figuras alterando os parâmetros `Level`, `Lay` e `SingleL`. Plotando uma série temporal do OmA e OmF: === "Comando" ```python linenums="1" gd.plot_diag.time_series(gdf_list, varName=varName, varType=varType, dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, Level=Level, Lay=Lay, SingleL=SingleL, Clean=False) ``` === "Resultado" ```python linenums="1" ===================================================================================================== Analyzing data of variable: uv || type: 220 || Dropssonda || check: OmF ===================================================================================================== [1000, 900, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 0] Preparing data for: 2019-12-10:00 - Level: 1000 Preparing data for: 2019-12-10:06 - Level: 1000 Preparing data for: 2019-12-10:12 - Level: 1000 Preparing data for: 2019-12-10:18 - Level: 1000 Preparing data for: 2019-12-11:00 - Level: 1000 Preparing data for: 2019-12-11:06 - Level: 1000 Preparing data for: 2019-12-11:12 - Level: 1000 Preparing data for: 2019-12-11:18 - Level: 1000 ===================================================================================================== Calculating for 2019-12-10:00 Calculating for 2019-12-10:06 Calculating for 2019-12-10:12 Calculating for 2019-12-10:18 Calculating for 2019-12-11:00 Calculating for 2019-12-11:06 Calculating for 2019-12-11:12 Calculating for 2019-12-11:18 ===================================================================================================== Making Graphics... Done! ```
![png](../imgs/time_series_uv-220_OmF_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmA_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmFOmA_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmFOmA_StdDev_layer_1015-985hPa.png) No caso anterior, o parâmetro `Level` estava fixo em 1000 hPa com `SingleL` igual a `All`, ou seja, toda a atmosfera foi considerada como uma única camada e o valor 1000 hPa funciona apenas como uma flag para indicar que não existe variação em altura. Ainda com `Level=1000`, pode-se usar `SingleL='OneL'` para uma única camada em torno do valor de `Level`, neste caso 1000 hPa, variando entre `Level-Lay` e `Level+Lay` (na definição de variáveis, `Lay` foi fixado com 15 hPa; no caso de ser `None`, o valor padrão de 50 hPa é utilizado). === "Comando" ```python linenums="1" SingleL = 'OneL' Lay = 15 gd.plot_diag.time_series(gdf_list, varName=varName, varType=varType, dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, Level=Level, Lay=Lay, SingleL=SingleL, Clean=False) ``` === "Resultado" ```python linenums="1" ===================================================================================================== Analyzing data of variable: uv || type: 220 || Dropssonda || check: OmF ===================================================================================================== [1000, 900, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 0] Preparing data for: 2019-12-10:00 - Level: 1000 Preparing data for: 2019-12-10:06 - Level: 1000 Preparing data for: 2019-12-10:12 - Level: 1000 Preparing data for: 2019-12-10:18 - Level: 1000 Preparing data for: 2019-12-11:00 - Level: 1000 Preparing data for: 2019-12-11:06 - Level: 1000 Preparing data for: 2019-12-11:12 - Level: 1000 Preparing data for: 2019-12-11:18 - Level: 1000 ===================================================================================================== Calculating for 2019-12-10:00 Calculating for 2019-12-10:06 Calculating for 2019-12-10:12 Calculating for 2019-12-10:18 Calculating for 2019-12-11:00 Calculating for 2019-12-11:06 Calculating for 2019-12-11:12 Calculating for 2019-12-11:18 ===================================================================================================== Making Graphics... Done! ```
![png](../imgs/time_series_uv-220_OmF_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmA_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmFOmA_layer_1015-985hPa.png)
![png](../imgs/time_series_uv-220_OmFOmA_StdDev_layer_1015-985hPa.png) Observe como no exemplo acima a quantidade de dados diminui, uma vez que agora está sendo utilizada uma camada entre 1015 e 985 hPa. Agora vamos alterar para não fixar em um único nível ou camada, ou seja, altear a variável `Level` para `None` ou `Zlevs`. A opção `None` busca os dados em cada nível existente nos arquivos e faz a figura para todos esses níveis, porém os valores no eixo y (ordenada) são apenas dos níveis padrão. É importante esclarecer que os chamados níveis padrão estão definidos na classe `read_diag` e podem ser acessados utilizando o método `zlevs` da seguinte forma: === "Comando" ```python linenums="1" gdf_list[tidx].zlevs ``` === "Resultado" ```python linenums="1" [1000.0, 900.0, 800.0, 700.0, 600.0, 500.0, 400.0, 300.0, 250.0, 200.0, 150.0, 100.0, 50.0, 0.0] ``` Dessa forma, pode-se utilizar o parâmetro `Level='Zlevs'` para produzir uma série temporal por níveis: === "Comando" ```python linenums="1" Level = 'Zlevs' Lay = 15 gd.plot_diag.time_series(gdf_list, varName=varName, varType=varType, dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, Level=Level, Lay=Lay, SingleL=SingleL, Clean=False) ``` === "Resultado" ```python linenums="1" ===================================================================================================== Analyzing data of variable: uv || type: 220 || Dropssonda || check: OmF ===================================================================================================== [1000, 900, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 0] Preparing data for: 2019-12-10:00 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:06 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:12 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:18 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:00 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:06 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:12 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:18 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] ===================================================================================================== Calculating for 2019-12-10:00 Calculating for 2019-12-10:06 Calculating for 2019-12-10:12 Calculating for 2019-12-10:18 Calculating for 2019-12-11:00 Calculating for 2019-12-11:06 Calculating for 2019-12-11:12 Calculating for 2019-12-11:18 ===================================================================================================== Making Graphics... Done! ``` ![png](../imgs/time_series_uv-220_OmF_all_levels_bylayers_15hPa.png) ![png](../imgs/time_series_uv-220_OmA_all_levels_bylayers_15hPa.png) Se `Lay=None`, então as camadas são preenchidas variando entre o valor médio considerando as camadas inferiores e superiores. Por exemplo, para o nível de 700 hPa é construída uma camada entre 750 e 650 hPa, uma vez que os níveis inferiores e superiores são 800 e 600 hPa, respectivamente. Para o nível de 1000 hPa a camada varia entre 1050 e 950 hPa. O mesmo exemplo anterior, mas considerando `Level='Zlevs'`: === "Comando" ```python linenums="1" Level = 'Zlevs' Lay = None gd.plot_diag.time_series(gdf_list, varName=varName, varType=varType, dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, Level=Level, Lay=Lay, SingleL=SingleL, Clean=False) ``` === "Resultado" ```python linenums="1" ===================================================================================================== Analyzing data of variable: uv || type: 220 || Dropssonda || check: OmF ===================================================================================================== [1000, 900, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 0] Preparing data for: 2019-12-10:00 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:06 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:12 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-10:18 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:00 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:06 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:12 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] Preparing data for: 2019-12-11:18 Levels: [0, 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000] ===================================================================================================== Calculating for 2019-12-10:00 Calculating for 2019-12-10:06 Calculating for 2019-12-10:12 Calculating for 2019-12-10:18 Calculating for 2019-12-11:00 Calculating for 2019-12-11:06 Calculating for 2019-12-11:12 Calculating for 2019-12-11:18 ===================================================================================================== Making Graphics... Done! ``` ![png](../imgs/time_series_uv-220_OmF_all_levels_filledLayers.png) ![png](../imgs/time_series_uv-220_OmA_all_levels_filledLayers.png) Finalmente, existe a opção de se considerar todos os níveis, ou seja, `Level=None`. Esta opção traz certa dificuldade na visualização da informação na figura por conta da grande quantidade de níveis e distribuição dos dados em todos os níveis: === "Comando" ```python linenums="1" Level = None gd.plot_diag.time_series(gdf_list, varName=varName, varType=varType, dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, Level=Level, Lay=Lay, SingleL=SingleL, Clean=False) ``` === "Resultado" ```python linenums="1" ===================================================================================================== Analyzing data of variable: uv || type: 220 || Dropssonda || check: OmF ===================================================================================================== [1000, 900, 800, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 0] Preparing data for: 2019-12-10:00 Levels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026] Preparing data for: 2019-12-10:06 Levels: [1, 2, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 11, 11, 12, 12, 13, 13, 14, 14, 15, 15, 16, 16, 17, 17, 18, 18, 19, 19, 20, 20, 21, 21, 22, 22, 23, 23, 24, 24, 25, 25, 26, 26, 27, 27, 28, 28, 29, 29, 30, 30, 31, 31, 32, 32, 33, 33, 34, 34, 35, 35, 36, 36, 37, 37, 38, 38, 39, 39, 40, 40, 41, 41, 42, 42, 43, 43, 44, 44, 45, 45, 46, 46, 47, 47, 48, 48, 49, 49, 50, 50, 51, 51, 52, 52, 53, 53, 54, 54, 55, 55, 56, 56, 57, 57, 58, 58, 59, 59, 60, 60, 61, 61, 62, 62, 63, 63, 64, 64, 65, 65, 66, 66, 67, 67, 68, 68, 69, 69, 70, 70, 71, 71, 72, 72, 73, 73, 74, 74, 75, 75, 76, 76, 77, 77, 78, 78, 79, 79, 80, 80, 81, 81, 82, 82, 83, 83, 84, 84, 85, 85, 86, 86, 87, 87, 88, 88, 89, 89, 90, 90, 91, 91, 92, 92, 93, 93, 94, 94, 95, 95, 96, 96, 97, 97, 98, 99, 100, 100, 101, 101, 102, 102, 103, 103, 104, 105, 105, 106, 106, 107, 107, 108, 108, 109, 109, 110, 110, 111, 112, 112, 113, 113, 114, 115, 115, 116, 116, 117, 117, 118, 119, 119, 120, 121, 121, 122, 122, 123, 123, 124, 125, 126, 126, 127, 127, 128, 128, 129, 129, 130, 130, 131, 131, 132, 132, 133, 133, 134, 134, 135, 135, 136, 136, 137, 137, 138, 138, 139, 139, 140, 140, 141, 141, 142, 142, 143, 144, 144, 145, 145, 146, 147, 147, 148, 148, 149, 149, 150, 150, 151, 152, 152, 153, 153, 154, 154, 155, 155, 156, 156, 157, 158, 158, 159, 159, 160, 160, 161, 161, 162, 162, 163, 163, 164, 164, 165, 165, 166, 166, 167, 167, 168, 169, 170, 170, 171, 171, 172, 172, 173, 173, 174, 174, 175, 176, 176, 177, 178, 178, 179, 179, 180, 180, 181, 181, 182, 182, 183, 183, 184, 184, 185, 185, 186, 187, 187, 188, 188, 189, 189, 190, 190, 191, 191, 192, 192, 193, 193, 194, 194, 195, 195, 196, 196, 197, 198, 198, 199, 199, 200, 200, 201, 202, 203, 203, 204, 205, 205, 206, 206, 207, 207, 208, 208, 209, 209, 210, 211, 211, 212, 213, 213, 214, 215, 215, 216, 216, 217, 218, 218, 219, 220, 220, 221, 221, 222, 222, 223, 223, 224, 225, 225, 226, 226, 227, 227, 228, 228, 229, 229, 230, 230, 231, 231, 232, 233, 233, 234, 234, 235, 236, 236, 237, 237, 238, 238, 239, 240, 240, 241, 241, 242, 242, 243, 244, 245, 245, 246, 246, 247, 247, 248, 249, 249, 250, 250, 251, 251, 252, 252, 253, 253, 254, 254, 255, 255, 256, 256, 257, 258, 258, 259, 260, 261, 261, 262, 262, 263, 263, 264, 264, 265, 266, 266, 267, 267, 268, 268, 269, 269, 270, 271, 272, 272, 273, 273, 274, 274, 275, 275, 276, 276, 277, 277, 278, 278, 279, 280, 281, 281, 282, 282, 283, 283, 284, 284, 285, 286, 286, 287, 287, 288, 289, 290, 291, 292, 292, 293, 294, 294, 295, 296, 297, 297, 298, 299, 300, 300, 301, 302, 302, 303, 304, 305, 306, 307, 307, 308, 308, 309, 310, 311, 311, 312, 313, 314, 315, 316, 317, 317, 318, 319, 320, 320, 321, 321, 322, 323, 324, 324, 325, 326, 327, 327, 328, 329, 329, 330, 330, 331, 331, 332, 332, 333, 334, 334, 335, 336, 337, 337, 338, 338, 339, 339, 340, 340, 341, 341, 342, 343, 344, 345, 346, 347, 348, 348, 349, 349, 350, 351, 352, 353, 354, 354, 355, 355, 356, 357, 358, 358, 359, 360, 361, 361, 362, 363, 363, 364, 365, 365, 366, 367, 368, 368, 369, 370, 370, 371, 371, 372, 372, 373, 374, 375, 376, 376, 377, 377, 378, 379, 379, 380, 380, 381, 382, 383, 384, 384, 385, 386, 387, 387, 388, 389, 390, 391, 392, 393, 393, 394, 395, 396, 397, 398, 399, 400, 400, 401, 401, 402, 402, 403, 403, 404, 404, 405, 406, 407, 408, 409, 410, 410, 411, 411, 412, 413, 414, 414, 415, 416, 417, 418, 419, 420, 421, 422, 422, 423, 423, 424, 424, 425, 426, 427, 427, 428, 429, 430, 431, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 441, 442, 443, 444, 444, 445, 446, 447, 447, 448, 449, 450, 450, 451, 452, 453, 454, 455, 455, 456, 456, 457, 458, 458, 459, 460, 461, 461, 462, 462, 463, 464, 465, 466, 466, 467, 468, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 489, 490, 490, 491, 491, 492, 493, 493, 494, 495, 496, 497, 498, 499, 500, 500, 501, 502, 503, 504, 505, 506, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 517, 518, 519, 520, 521, 522, 523, 524, 524, 525, 526, 527, 527, 528, 528, 529, 530, 530, 531, 532, 533, 534, 535, 536, 536, 537, 538, 538, 539, 540, 541, 542, 543, 544, 544, 545, 545, 546, 547, 548, 549, 549, 550, 551, 551, 552, 553, 554, 555, 556, 557, 558, 558, 559, 560, 561, 562, 563, 563, 564, 565, 566, 566, 567, 568, 569, 569, 570, 571, 571, 572, 572, 573, 574, 574, 575, 576, 577, 578, 578, 579, 580, 581, 581, 582, 583, 584, 584, 585, 586, 587, 588, 589, 590, 591, 591, 592, 593, 594, 595, 596, 596, 597, 597, 598, 599, 600, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 609, 610, 611, 612, 613, 613, 614, 615, 615, 616, 617, 618, 618, 619, 619, 620, 620, 621, 621, 622, 623, 624, 625, 626, 626, 627, 628, 629, 630, 630, 631, 632, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 654, 655, 656, 657, 657, 658, 659, 659, 660, 661, 661, 662, 663, 664, 665, 665, 666, 667, 667, 668, 669, 670, 671, 671, 672, 673, 673, 674, 674, 675, 675, 676, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 685, 686, 687, 687, 688, 689, 690, 691, 692, 692, 693, 694, 695, 695, 696, 696, 697, 697, 698, 699, 700, 700, 701, 702, 703, 703, 704, 704, 705, 706, 707, 708, 709, 710, 711, 711, 712, 712, 713, 714, 715, 716, 717, 717, 718, 718, 719, 720, 721, 722, 723, 724, 725, 725, 726, 726, 727, 728, 729, 730, 731, 731, 732, 732, 733, 734, 734, 735, 735, 736, 736, 737, 738, 739, 739, 740, 741, 742, 742, 743, 743, 744, 744, 745, 746, 747, 748, 749, 749, 750, 750, 751, 752, 753, 754, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 764, 765, 766, 767, 768, 768, 769, 770, 771, 772, 772, 773, 774, 775, 776, 777, 778, 778, 779, 779, 780, 781, 781, 782, 783, 783, 784, 784, 785, 786, 786, 787, 788, 788, 789, 790, 791, 792, 792, 793, 794, 795, 796, 796, 797, 797, 798, 798, 799, 800, 800, 801, 802, 803, 804, 805, 805, 806, 807, 808, 809, 810, 811, 811, 812, 813, 814, 814, 815, 816, 817, 818, 818, 819, 820, 820, 821, 822, 823, 823, 824, 825, 826, 827, 828, 829, 829, 830, 831, 832, 832, 833, 834, 835, 836, 837, 838, 838, 839, 839, 840, 841, 841, 842, 843, 844, 845, 846, 847, 847, 848, 849, 850, 850, 851, 852, 853, 853, 854, 855, 855, 856, 857, 857, 858, 859, 860, 861, 861, 862, 862, 863, 863, 864, 864, 865, 865, 866, 866, 867, 867, 868, 869, 870, 871, 872, 873, 874, 874, 875, 875, 876, 877, 878, 878, 879, 880, 880, 881, 881, 882, 883, 884, 885, 885, 886, 887, 887, 888, 889, 890, 891, 891, 892, 892, 893, 893, 894, 895, 895, 896, 897, 898, 898, 899, 899, 900, 901, 901, 902, 902, 903, 903, 904, 905, 906, 906, 907, 907, 908, 908, 909, 910, 911, 912, 912, 913, 914, 914, 915, 916, 916, 917, 918, 919, 920, 921, 921, 922, 923, 924, 925, 925, 926, 926, 927, 928, 928, 929, 930, 930, 931, 932, 933, 934, 934, 935, 936, 936, 937, 938, 939, 940, 941, 942, 942, 943, 943, 944, 945, 946, 946, 947, 948, 949, 950, 950, 951, 952, 953, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 962, 963, 963, 964, 965, 966, 967, 967, 968, 969, 970, 970, 971, 971, 972, 973, 974, 975, 975, 976, 977, 978, 978, 979, 980, 980, 981, 982, 982, 983, 983, 984, 985, 985, 986, 986, 987, 988, 989, 989, 990, 990, 991, 992, 992, 993, 994, 994, 995, 995, 996, 996, 997, 997, 998, 999, 999, 1000, 1000, 1001, 1002, 1002, 1003, 1003, 1004, 1005, 1005, 1006, 1007, 1008, 1009, 1009, 1010, 1011, 1012, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1018, 1019, 1019, 1020, 1021, 1021, 1022, 1023, 1024, 1025, 1026] Preparing data for: 2019-12-10:12 Levels: [1, 1, 2, 2, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9, 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14, 15, 15, 15, 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 21, 22, 22, 22, 23, 23, 23, 24, 24, 24, 25, 25, 25, 26, 26, 26, 27, 27, 27, 28, 28, 28, 29, 29, 29, 30, 30, 30, 31, 31, 31, 32, 32, 32, 33, 33, 33, 34, 34, 34, 35, 35, 35, 36, 36, 36, 37, 37, 37, 38, 38, 38, 39, 39, 39, 40, 40, 40, 41, 41, 41, 42, 42, 42, 43, 43, 43, 44, 44, 44, 45, 45, 45, 46, 46, 46, 47, 47, 47, 48, 48, 48, 49, 49, 49, 50, 50, 50, 51, 51, 51, 52, 52, 52, 53, 53, 53, 54, 54, 54, 55, 55, 55, 56, 56, 56, 57, 57, 57, 58, 58, 58, 59, 59, 59, 60, 60, 60, 61, 61, 61, 62, 62, 62, 63, 63, 63, 64, 64, 64, 65, 65, 65, 66, 66, 66, 67, 67, 67, 68, 68, 68, 69, 69, 69, 70, 70, 70, 71, 71, 71, 72, 72, 72, 73, 73, 73, 74, 74, 74, 75, 75, 75, 76, 76, 76, 77, 77, 77, 78, 78, 78, 79, 79, 79, 80, 80, 80, 81, 81, 81, 82, 82, 82, 83, 83, 83, 84, 84, 84, 85, 85, 85, 86, 86, 86, 87, 87, 87, 88, 88, 88, 89, 89, 89, 90, 90, 90, 91, 91, 91, 92, 92, 92, 93, 93, 93, 94, 94, 94, 95, 95, 95, 96, 96, 96, 97, 97, 97, 98, 98, 99, 99, 100, 100, 100, 101, 101, 101, 102, 102, 102, 103, 103, 103, 104, 104, 105, 105, 105, 106, 106, 106, 107, 107, 107, 108, 108, 108, 109, 109, 109, 110, 110, 110, 111, 111, 112, 112, 112, 113, 113, 113, 114, 114, 115, 115, 115, 116, 116, 116, 117, 117, 117, 118, 118, 119, 119, 119, 120, 120, 121, 121, 121, 122, 122, 122, 123, 123, 123, 124, 124, 125, 125, 126, 126, 126, 127, 127, 127, 128, 128, 128, 129, 129, 129, 130, 130, 130, 131, 131, 131, 132, 132, 132, 133, 133, 133, 134, 134, 134, 135, 135, 135, 136, 136, 136, 137, 137, 137, 138, 138, 138, 139, 139, 139, 140, 140, 140, 141, 141, 141, 142, 142, 142, 143, 143, 144, 144, 144, 145, 145, 145, 146, 146, 147, 147, 147, 148, 148, 148, 149, 149, 149, 150, 150, 150, 151, 151, 152, 152, 152, 153, 153, 153, 154, 154, 154, 155, 155, 155, 156, 156, 156, 157, 157, 158, 158, 158, 159, 159, 159, 160, 160, 160, 161, 161, 161, 162, 162, 162, 163, 163, 163, 164, 164, 164, 165, 165, 165, 166, 166, 166, 167, 167, 167, 168, 168, 169, 169, 170, 170, 170, 171, 171, 171, 172, 172, 172, 173, 173, 173, 174, 174, 174, 175, 175, 176, 176, 176, 177, 177, 178, 178, 178, 179, 179, 179, 180, 180, 180, 181, 181, 181, 182, 182, 182, 183, 183, 183, 184, 184, 184, 185, 185, 185, 186, 186, 187, 187, 187, 188, 188, 188, 189, 189, 189, 190, 190, 190, 191, 191, 191, 192, 192, 192, 193, 193, 193, 194, 194, 194, 195, 195, 195, 196, 196, 196, 197, 197, 198, 198, 198, 199, 199, 199, 200, 200, 200, 201, 201, 202, 202, 203, 203, 203, 204, 204, 205, 205, 205, 206, 206, 206, 207, 207, 207, 208, 208, 208, 209, 209, 209, 210, 210, 211, 211, 211, 212, 212, 213, 213, 213, 214, 214, 215, 215, 215, 216, 216, 216, 217, 217, 218, 218, 218, 219, 219, 220, 220, 220, 221, 221, 221, 222, 222, 222, 223, 223, 223, 224, 224, 225, 225, 225, 226, 226, 226, 227, 227, 227, 228, 228, 228, 229, 229, 229, 230, 230, 230, 231, 231, 231, 232, 232, 233, 233, 233, 234, 234, 234, 235, 235, 236, 236, 236, 237, 237, 237, 238, 238, 238, 239, 239, 240, 240, 240, 241, 241, 241, 242, 242, 242, 243, 243, 244, 244, 245, 245, 245, 246, 246, 246, 247, 247, 247, 248, 248, 249, 249, 249, 250, 250, 250, 251, 251, 251, 252, 252, 252, 253, 253, 253, 254, 254, 254, 255, 255, 255, 256, 256, 256, 257, 257, 258, 258, 258, 259, 259, 260, 260, 261, 261, 261, 262, 262, 262, 263, 263, 263, 264, 264, 264, 265, 265, 266, 266, 266, 267, 267, 267, 268, 268, 268, 269, 269, 269, 270, 270, 271, 271, 272, 272, 272, 273, 273, 273, 274, 274, 274, 275, 275, 275, 276, 276, 276, 277, 277, 277, 278, 278, 278, 279, 279, 280, 280, 281, 281, 281, 282, 282, 282, 283, 283, 283, 284, 284, 284, 285, 285, 286, 286, 286, 287, 287, 287, 288, 288, 289, 289, 290, 290, 291, 291, 292, 292, 292, 293, 293, 294, 294, 294, 295, 295, 296, 296, 297, 297, 297, 298, 298, 299, 299, 300, 300, 300, 301, 301, 302, 302, 302, 303, 303, 304, 304, 305, 305, 306, 306, 307, 307, 307, 308, 308, 308, 309, 309, 310, 310, 311, 311, 311, 312, 312, 313, 313, 314, 314, 315, 315, 316, 316, 317, 317, 317, 318, 318, 319, 319, 320, 320, 320, 321, 321, 321, 322, 322, 323, 323, 324, 324, 324, 325, 325, 326, 326, 327, 327, 327, 328, 328, 329, 329, 329, 330, 330, 330, 331, 331, 331, 332, 332, 332, 333, 333, 334, 334, 334, 335, 335, 336, 336, 337, 337, 337, 338, 338, 338, 339, 339, 339, 340, 340, 340, 341, 341, 341, 342, 342, 343, 343, 344, 344, 345, 345, 346, 346, 347, 347, 348, 348, 348, 349, 349, 349, 350, 350, 351, 351, 352, 352, 353, 353, 354, 354, 354, 355, 355, 355, 356, 356, 357, 357, 358, 358, 358, 359, 359, 360, 360, 361, 361, 361, 362, 362, 363, 363, 363, 364, 364, 365, 365, 365, 366, 366, 367, 367, 368, 368, 368, 369, 369, 370, 370, 370, 371, 371, 371, 372, 372, 372, 373, 373, 374, 374, 375, 375, 376, 376, 376, 377, 377, 377, 378, 378, 379, 379, 379, 380, 380, 380, 381, 381, 382, 382, 383, 383, 384, 384, 384, 385, 385, 386, 386, 387, 387, 387, 388, 388, 389, 389, 390, 390, 391, 391, 392, 392, 393, 393, 393, 394, 394, 395, 395, 396, 396, 397, 397, 398, 398, 399, 399, 400, 400, 400, 401, 401, 401, 402, 402, 402, 403, 403, 403, 404, 404, 404, 405, 405, 406, 406, 407, 407, 408, 408, 409, 409, 410, 410, 410, 411, 411, 411, 412, 412, 413, 413, 414, 414, 414, 415, 415, 416, 416, 417, 417, 418, 418, 419, 419, 420, 420, 421, 421, 422, 422, 422, 423, 423, 423, 424, 424, 424, 425, 425, 426, 426, 427, 427, 427, 428, 428, 429, 429, 430, 430, 431, 431, 431, 432, 432, 433, 433, 434, 434, 435, 435, 436, 436, 437, 437, 438, 438, 439, 439, 440, 440, 441, 441, 441, 442, 442, 443, 443, 444, 444, 444, 445, 445, 446, 446, 447, 447, 447, 448, 448, 449, 449, 450, 450, 450, 451, 451, 452, 452, 453, 453, 454, 454, 455, 455, 455, 456, 456, 456, 457, 457, 458, 458, 458, 459, 459, 460, 460, 461, 461, 461, 462, 462, 462, 463, 463, 464, 464, 465, 465, 466, 466, 466, 467, 467, 468, 468, 468, 469, 469, 470, 470, 471, 471, 472, 472, 473, 473, 474, 474, 475, 475, 476, 476, 477, 477, 477, 478, 478, 479, 479, 480, 480, 481, 481, 482, 482, 483, 483, 484, 484, 485, 485, 486, 486, 487, 487, 488, 488, 489, 489, 489, 490, 490, 490, 491, 491, 491, 492, 492, 493, 493, 493, 494, 494, 495, 495, 496, 496, 497, 497, 498, 498, 499, 499, 500, 500, 500, 501, 501, 502, 502, 503, 503, 504, 504, 505, 505, 506, 506, 506, 507, 507, 508, 508, 509, 509, 510, 510, 511, 511, 512, 512, 513, 513, 514, 514, 515, 515, 516, 516, 517, 517, 517, 518, 518, 519, 519, 520, 520, 521, 521, 522, 522, 523, 523, 524, 524, 524, 525, 525, 526, 526, 527, 527, 527, 528, 528, 528, 529, 529, 530, 530, 530, 531, 531, 532, 532, 533, 533, 534, 534, 535, 535, 536, 536, 536, 537, 537, 538, 538, 538, 539, 539, 540, 540, 541, 541, 542, 542, 543, 543, 544, 544, 544, 545, 545, 545, 546, 546, 547, 547, 548, 548, 549, 549, 549, 550, 550, 551, 551, 551, 552, 552, 553, 553, 554, 554, 555, 555, 556, 556, 557, 557, 558, 558, 558, 559, 559, 560, 560, 561, 561, 562, 562, 563, 563, 563, 564, 564, 565, 565, 566, 566, 566, 567, 567, 568, 568, 569, 569, 569, 570, 570, 571, 571, 571, 572, 572, 572, 573, 573, 574, 574, 574, 575, 575, 576, 576, 577, 577, 578, 578, 578, 579, 579, 580, 580, 581, 581, 581, 582, 582, 583, 583, 584, 584, 584, 585, 585, 586, 586, 587, 587, 588, 588, 589, 589, 590, 590, 591, 591, 591, 592, 592, 593, 593, 594, 594, 595, 595, 596, 596, 596, 597, 597, 597, 598, 598, 599, 599, 600, 600, 600, 601, 601, 602, 602, 603, 603, 604, 604, 605, 605, 606, 606, 607, 607, 608, 608, 609, 609, 609, 610, 610, 611, 611, 612, 612, 613, 613, 613, 614, 614, 615, 615, 615, 616, 616, 617, 617, 618, 618, 618, 619, 619, 619, 620, 620, 620, 621, 621, 621, 622, 622, 623, 623, 624, 624, 625, 625, 626, 626, 626, 627, 627, 628, 628, 629, 629, 630, 630, 630, 631, 631, 632, 632, 632, 633, 633, 634, 634, 635, 635, 636, 636, 637, 637, 638, 638, 639, 639, 640, 640, 641, 641, 642, 642, 643, 643, 644, 644, 645, 645, 645, 646, 646, 647, 647, 648, 648, 649, 649, 650, 650, 651, 651, 652, 652, 653, 653, 654, 654, 654, 655, 655, 656, 656, 657, 657, 657, 658, 658, 659, 659, 659, 660, 660, 661, 661, 661, 662, 662, 663, 663, 664, 664, 665, 665, 665, 666, 666, 667, 667, 667, 668, 668, 669, 669, 670, 670, 671, 671, 671, 672, 672, 673, 673, 673, 674, 674, 674, 675, 675, 675, 676, 676, 676, 677, 677, 678, 678, 679, 679, 680, 680, 681, 681, 682, 682, 683, 683, 684, 684, 685, 685, 685, 686, 686, 687, 687, 687, 688, 688, 689, 689, 690, 690, 691, 691, 692, 692, 692, 693, 693, 694, 694, 695, 695, 695, 696, 696, 696, 697, 697, 697, 698, 698, 699, 699, 700, 700, 700, 701, 701, 702, 702, 703, 703, 703, 704, 704, 704, 705, 705, 706, 706, 707, 707, 708, 708, 709, 709, 710, 710, 711, 711, 711, 712, 712, 712, 713, 713, 714, 714, 715, 715, 716, 716, 717, 717, 717, 718, 718, 718, 719, 719, 720, 720, 721, 721, 722, 722, 723, 723, 724, 724, 725, 725, 725, 726, 726, 726, 727, 727, 728, 728, 729, 729, 730, 730, 731, 731, 731, 732, 732, 732, 733, 733, 734, 734, 734, 735, 735, 735, 736, 736, 736, 737, 737, 738, 738, 739, 739, 739, 740, 740, 741, 741, 742, 742, 742, 743, 743, 743, 744, 744, 744, 745, 745, 746, 746, 747, 747, 748, 748, 749, 749, 749, 750, 750, 750, 751, 751, 752, 752, 753, 753, 754, 754, 754, 755, 755, 756, 756, 757, 757, 758, 758, 759, 759, 760, 760, 761, 761, 762, 762, 763, 763, 764, 764, 764, 765, 765, 766, 766, 767, 767, 768, 768, 768, 769, 769, 770, 770, 771, 771, 772, 772, 772, 773, 773, 774, 774, 775, 775, 776, 776, 777, 777, 778, 778, 778, 779, 779, 779, 780, 780, 781, 781, 781, 782, 782, 783, 783, 783, 784, 784, 784, 785, 785, 786, 786, 786, 787, 787, 788, 788, 788, 789, 789, 790, 790, 791, 791, 792, 792, 792, 793, 793, 794, 794, 795, 795, 796, 796, 796, 797, 797, 797, 798, 798, 798, 799, 799, 800, 800, 800, 801, 801, 802, 802, 803, 803, 804, 804, 805, 805, 805, 806, 806, 807, 807, 808, 808, 809, 809, 810, 810, 811, 811, 811, 812, 812, 813, 813, 814, 814, 814, 815, 815, 816, 816, 817, 817, 818, 818, 818, 819, 819, 820, 820, 820, 821, 821, 822, 822, 823, 823, 823, 824, 824, 825, 825, 826, 826, 827, 827, 828, 828, 829, 829, 829, 830, 830, 831, 831, 832, 832, 832, 833, 833, 834, 834, 835, 835, 836, 836, 837, 837, 838, 838, 838, 839, 839, 839, 840, 840, 841, 841, 841, 842, 842, 843, 843, 844, 844, 845, 845, 846, 846, 847, 847, 847, 848, 848, 849, 849, 850, 850, 850, 851, 851, 852, 852, 853, 853, 853, 854, 854, 855, 855, 855, 856, 856, 857, 857, 857, 858, 858, 859, 859, 860, 860, 861, 861, 861, 862, 862, 862, 863, 863, 863, 864, 864, 864, 865, 865, 865, 866, 866, 866, 867, 867, 867, 868, 868, 869, 869, 870, 870, 871, 871, 872, 872, 873, 873, 874, 874, 874, 875, 875, 875, 876, 876, 877, 877, 878, 878, 878, 879, 879, 880, 880, 880, 881, 881, 881, 882, 882, 883, 883, 884, 884, 885, 885, 885, 886, 886, 887, 887, 887, 888, 888, 889, 889, 890, 890, 891, 891, 891, 892, 892, 892, 893, 893, 893, 894, 894, 895, 895, 895, 896, 896, 897, 897, 898, 898, 898, 899, 899, 899, 900, 900, 901, 901, 901, 902, 902, 902, 903, 903, 903, 904, 904, 905, 905, 906, 906, 906, 907, 907, 907, 908, 908, 908, 909, 909, 910, 910, 911, 911, 912, 912, 912, 913, 913, 914, 914, 914, 915, 915, 916, 916, 916, 917, 917, 918, 918, 919, 919, 920, 920, 921, 921, 921, 922, 922, 923, 923, 924, 924, 925, 925, 925, 926, 926, 926, 927, 927, 928, 928, 928, 929, 929, 930, 930, 930, 931, 931, 932, 932, 933, 933, 934, 934, 934, 935, 935, 936, 936, 936, 937, 937, 938, 938, 939, 939, 940, 940, 941, 941, 942, 942, 942, 943, 943, 943, 944, 944, 945, 945, 946, 946, 946, 947, 947, 948, 948, 949, 949, 950, 950, 950, 951, 951, 952, 952, 953, 953, 953, 954, 954, 955, 955, 956, 956, 957, 957, 958, 958, 959, 959, 960, 960, 961, 961, 962, 962, 962, 963, 963, 963, 964, 964, 965, 965, 966, 966, 967, 967, 967, 968, 968, 969, 969, 970, 970, 970, 971, 971, 971, 972, 972, 973, 973, 974, 974, 975, 975, 975, 976, 976, 977, 977, 978, 978, 978, 979, 979, 980, 980, 980, 981, 981, 982, 982, 982, 983, 983, 983, 984, 984, 985, 985, 985, 986, 986, 986, 987, 987, 988, 988, 989, 989, 989, 990, 990, 990, 991, 991, 992, 992, 992, 993, 993, 994, 994, 994, 995, 995, 995, 996, 996, 996, 997, 997, 997, 998, 998, 999, 999, 999, 1000, 1000, 1000, 1001, 1001, 1002, 1002, 1002, 1003, 1003, 1003, 1004, 1004, 1005, 1005, 1005, 1006, 1006, 1007, 1007, 1008, 1008, 1009, 1009, 1009, 1010, 1010, 1011, 1011, 1012, 1012, 1012, 1013, 1013, 1014, 1014, 1015, 1015, 1016, 1016, 1017, 1017, 1018, 1018, 1018, 1019, 1019, 1019, 1020, 1020, 1021, 1021, 1021, 1022, 1022, 1023, 1023, 1024, 1024, 1025, 1025, 1026, 1026, 1035] Preparing data for: 2019-12-10:18 Levels: [1, 1, 2, 2, 3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 11, 11, 11, 11, 12, 12, 12, 12, 13, 13, 13, 13, 14, 14, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17, 17, 17, 17, 18, 18, 18, 18, 19, 19, 19, 19, 20, 20, 20, 20, 21, 21, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 24, 24, 24, 24, 25, 25, 25, 25, 26, 26, 26, 26, 27, 27, 27, 27, 28, 28, 28, 28, 29, 29, 29, 29, 30, 30, 30, 30, 31, 31, 31, 31, 32, 32, 32, 32, 33, 33, 33, 33, 34, 34, 34, 34, 35, 35, 35, 35, 36, 36, 36, 36, 37, 37, 37, 37, 38, 38, 38, 38, 39, 39, 39, 39, 40, 40, 40, 40, 41, 41, 41, 41, 42, 42, 42, 42, 43, 43, 43, 43, 44, 44, 44, 44, 45, 45, 45, 45, 46, 46, 46, 46, 47, 47, 47, 47, 48, 48, 48, 48, 49, 49, 49, 49, 50, 50, 50, 50, 51, 51, 51, 51, 52, 52, 52, 52, 53, 53, 53, 53, 54, 54, 54, 54, 55, 55, 55, 55, 56, 56, 56, 56, 57, 57, 57, 57, 58, 58, 58, 58, 59, 59, 59, 59, 60, 60, 60, 60, 61, 61, 61, 61, 62, 62, 62, 62, 63, 63, 63, 63, 64, 64, 64, 64, 65, 65, 65, 65, 66, 66, 66, 66, 67, 67, 67, 67, 68, 68, 68, 68, 69, 69, 69, 69, 70, 70, 70, 70, 71, 71, 71, 71, 72, 72, 72, 72, 73, 73, 73, 73, 74, 74, 74, 74, 75, 75, 75, 75, 76, 76, 76, 76, 77, 77, 77, 78, 78, 78, 78, 79, 79, 79, 79, 80, 80, 80, 80, 81, 81, 81, 81, 82, 82, 82, 82, 83, 83, 83, 83, 84, 84, 84, 84, 85, 85, 85, 85, 86, 86, 86, 87, 87, 87, 87, 88, 88, 88, 88, 89, 89, 89, 89, 90, 90, 90, 90, 91, 91, 91, 91, 92, 92, 92, 92, 93, 93, 93, 93, 94, 94, 94, 94, 95, 95, 95, 95, 96, 96, 96, 96, 97, 97, 97, 97, 98, 98, 98, 99, 99, 99, 100, 100, 100, 100, 101, 101, 101, 102, 102, 102, 102, 103, 103, 103, 103, 104, 104, 104, 105, 105, 105, 106, 106, 106, 106, 107, 107, 107, 107, 108, 108, 108, 108, 109, 109, 109, 109, 110, 110, 110, 110, 111, 111, 111, 112, 112, 112, 112, 113, 113, 113, 113, 114, 114, 114, 115, 115, 115, 115, 116, 116, 116, 116, 117, 117, 117, 117, 118, 118, 118, 119, 119, 119, 119, 120, 120, 120, 121, 121, 121, 121, 122, 122, 122, 122, 123, 123, 123, 123, 124, 124, 124, 125, 125, 125, 126, 126, 126, 126, 127, 127, 127, 127, 128, 128, 128, 128, 129, 129, 129, 130, 130, 130, 130, 131, 131, 131, 131, 132, 132, 132, 132, 133, 133, 133, 133, 134, 134, 134, 134, 135, 135, 135, 135, 136, 136, 136, 136, 137, 137, 137, 138, 138, 138, 138, 139, 139, 139, 139, 140, 140, 140, 140, 141, 141, 141, 141, 142, 142, 142, 142, 143, 143, 143, 144, 144, 144, 145, 145, 145, 145, 146, 146, 146, 147, 147, 147, 148, 148, 148, 148, 149, 149, 149, 150, 150, 150, 150, 151, 151, 152, 152, 152, 153, 153, 153, 153, 154, 154, 154, 154, 155, 155, 155, 155, 156, 156, 156, 156, 157, 157, 158, 158, 158, 158, 159, 159, 159, 160, 160, 160, 161, 161, 161, 161, 162, 162, 162, 162, 163, 163, 163, 163, 164, 164, 164, 165, 165, 165, 165, 166, 166, 166, 166, 167, 167, 167, 168, 168, 169, 169, 169, 170, 170, 170, 170, 171, 171, 171, 171, 172, 172, 172, 172, 173, 173, 173, 173, 174, 174, 174, 174, 175, 175, 175, 176, 176, 176, 176, 177, 177, 177, 178, 178, 178, 178, 179, 179, 179, 179, 180, 180, 180, 180, 181, 181, 181, 181, 182, 182, 182, 183, 183, 183, 184, 184, 184, 185, 185, 185, 186, 186, 186, 187, 187, 187, 187, 188, 188, 188, 189, 189, 189, 189, 190, 190, 190, 190, 191, 191, 191, 191, 192, 192, 192, 192, 193, 193, 193, 193, 194, 194, 194, 194, 195, 195, 195, 196, 196, 196, 196, 197, 197, 197, 198, 198, 198, 199, 199, 199, 199, 200, 200, 200, 200, 201, 201, 201, 202, 202, 203, 203, 203, 204, 204, 204, 205, 205, 205, 206, 206, 206, 206, 207, 207, 207, 207, 208, 208, 208, 209, 209, 209, 209, 210, 210, 210, 211, 211, 211, 212, 212, 212, 213, 213, 213, 214, 214, 214, 215, 215, 215, 215, 216, 216, 216, 216, 217, 217, 217, 218, 218, 218, 219, 219, 219, 220, 220, 220, 221, 221, 221, 222, 222, 222, 223, 223, 223, 223, 224, 224, 224, 225, 225, 225, 225, 226, 226, 226, 226, 227, 227, 227, 227, 228, 228, 228, 228, 229, 229, 229, 229, 230, 230, 230, 231, 231, 231, 231, 232, 232, 233, 233, 233, 233, 234, 234, 234, 234, 235, 235, 236, 236, 236, 237, 237, 237, 238, 238, 238, 238, 239, 239, 240, 240, 240, 240, 241, 241, 241, 242, 242, 242, 243, 243, 244, 244, 244, 245, 245, 245, 246, 246, 246, 247, 247, 247, 248, 248, 248, 249, 249, 249, 249, 250, 250, 250, 250, 251, 251, 251, 251, 252, 252, 252, 253, 253, 253, 253, 254, 254, 254, 255, 255, 255, 255, 256, 256, 256, 257, 257, 257, 258, 258, 258, 259, 259, 260, 260, 261, 261, 261, 262, 262, 262, 263, 263, 263, 264, 264, 264, 265, 265, 266, 266, 266, 266, 267, 267, 267, 268, 268, 268, 269, 269, 269, 270, 270, 271, 271, 272, 272, 272, 273, 273, 273, 274, 274, 274, 275, 275, 275, 275, 276, 276, 276, 276, 277, 277, 277, 278, 278, 278, 279, 279, 279, 280, 280, 281, 281, 281, 282, 282, 282, 283, 283, 283, 284, 284, 284, 284, 285, 285, 286, 286, 286, 287, 287, 287, 288, 288, 288, 289, 289, 289, 290, 290, 291, 291, 292, 292, 292, 293, 293, 294, 294, 294, 294, 295, 295, 296, 296, 297, 297, 297, 298, 298, 299, 299, 300, 300, 300, 300, 301, 301, 302, 302, 302, 302, 303, 303, 303, 304, 304, 304, 305, 305, 306, 306, 306, 307, 307, 307, 308, 308, 308, 309, 309, 309, 310, 310, 311, 311, 311, 312, 312, 313, 313, 313, 314, 314, 314, 315, 315, 315, 316, 316, 317, 317, 317, 318, 318, 319, 319, 319, 320, 320, 320, 321, 321, 321, 322, 322, 322, 323, 323, 324, 324, 324, 325, 325, 326, 326, 327, 327, 327, 328, 328, 329, 329, 329, 330, 330, 330, 331, 331, 331, 332, 332, 332, 333, 333, 334, 334, 334, 334, 335, 335, 336, 336, 336, 337, 337, 337, 338, 338, 338, 339, 339, 339, 340, 340, 340, 341, 341, 341, 342, 342, 343, 343, 343, 344, 344, 345, 345, 346, 346, 347, 347, 348, 348, 348, 349, 349, 349, 350, 350, 351, 351, 352, 352, 353, 353, 354, 354, 354, 355, 355, 355, 356, 356, 357, 357, 358, 358, 358, 359, 359, 359, 360, 360, 360, 361, 361, 361, 361, 362, 362, 363, 363, 363, 364, 364, 365, 365, 365, 366, 366, 367, 367, 368, 368, 368, 368, 369, 369, 370, 370, 370, 371, 371, 371, 371, 372, 372, 372, 373, 373, 374, 374, 374, 375, 375, 375, 376, 376, 376, 376, 377, 377, 377, 378, 378, 378, 379, 379, 379, 380, 380, 380, 381, 381, 382, 382, 382, 383, 383, 384, 384, 384, 385, 385, 386, 386, 387, 387, 387, 387, 388, 388, 389, 389, 389, 390, 390, 390, 391, 391, 391, 392, 392, 393, 393, 393, 393, 394, 394, 394, 395, 395, 396, 396, 397, 397, 398, 398, 398, 399, 399, 400, 400, 400, 400, 401, 401, 401, 402, 402, 402, 403, 403, 403, 404, 404, 404, 405, 405, 406, 406, 406, 407, 407, 408, 408, 409, 409, 410, 410, 410, 410, 411, 411, 411, 411, 412, 412, 412, 413, 413, 414, 414, 414, 415, 415, 415, 416, 416, 417, 417, 418, 418, 419, 419, 420, 420, 421, 421, 422, 422, 422, 423, 423, 423, 424, 424, 424, 425, 425, 425, 426, 426, 427, 427, 427, 428, 428, 428, 429, 429, 430, 430, 431, 431, 431, 432, 432, 433, 433, 433, 434, 434, 434, 435, 435, 436, 436, 437, 437, 437, 438, 438, 439, 439, 440, 440, 441, 441, 441, 442, 442, 442, 443, 443, 443, 444, 444, 444, 445, 445, 446, 446, 447, 447, 447, 447, 448, 448, 449, 449, 450, 450, 450, 451, 451, 452, 452, 453, 453, 454, 454, 455, 455, 455, 455, 456, 456, 456, 457, 457, 458, 458, 458, 459, 459, 460, 460, 460, 461, 461, 461, 462, 462, 462, 462, 463, 463, 463, 464, 464, 464, 465, 465, 465, 466, 466, 466, 467, 467, 467, 468, 468, 468, 469, 469, 470, 470, 471, 471, 472, 472, 473, 473, 474, 474, 475, 475, 475, 476, 476, 477, 477, 477, 478, 478, 478, 479, 479, 479, 480, 480, 480, 481, 481, 481, 482, 482, 482, 483, 483, 483, 484, 484, 485, 485, 486, 486, 487, 487, 487, 488, 488, 489, 489, 489, 490, 490, 490, 491, 491, 491, 492, 492, 493, 493, 493, 494, 494, 495, 495, 495, 496, 496, 497, 497, 498, 498, 498, 499, 499, 499, 500, 500, 500, 500, 501, 501, 501, 502, 502, 503, 503, 503, 504, 504, 505, 505, 506, 506, 506, 507, 507, 508, 508, 509, 509, 509, 510, 510, 511, 511, 512, 512, 513, 513, 514, 514, 515, 515, 516, 516, 517, 517, 517, 518, 518, 519, 519, 519, 520, 520, 521, 521, 521, 522, 522, 522, 523, 523, 524, 524, 524, 525, 525, 526, 526, 526, 527, 527, 527, 528, 528, 528, 529, 529, 529, 530, 530, 530, 530, 531, 531, 532, 532, 533, 533, 534, 534, 535, 535, 536, 536, 536, 537, 537, 538, 538, 538, 538, 539, 539, 539, 540, 540, 541, 541, 541, 542, 542, 542, 543, 543, 543, 544, 544, 544, 544, 545, 545, 545, 546, 546, 546, 547, 547, 548, 548, 549, 549, 549, 550, 550, 551, 551, 551, 551, 552, 552, 553, 553, 553, 554, 554, 555, 555, 556, 556, 557, 557, 558, 558, 558, 559, 559, 560, 560, 560, 561, 561, 561, 562, 562, 562, 563, 563, 563, 563, 564, 564, 564, 565, 565, 565, 566, 566, 566, 567, 567, 568, 568, 569, 569, 569, 570, 570, 571, 571, 571, 572, 572, 572, 573, 573, 574, 574, 574, 575, 575, 575, 576, 576, 577, 577, 578, 578, 578, 579, 579, 580, 580, 581, 581, 581, 582, 582, 582, 583, 583, 583, 584, 584, 584, 584, 585, 585, 586, 586, 586, 587, 587, 588, 588, 589, 589, 590, 590, 591, 591, 591, 591, 592, 592, 593, 593, 594, 594, 595, 595, 596, 596, 596, 597, 597, 597, 598, 598, 598, 599, 599, 600, 600, 600, 600, 601, 601, 602, 602, 602, 603, 603, 604, 604, 605, 605, 606, 606, 606, 607, 607, 607, 608, 608, 608, 609, 609, 609, 609, 610, 610, 610, 611, 611, 612, 612, 613, 613, 613, 614, 614, 615, 615, 615, 616, 616, 617, 617, 617, 618, 618, 618, 618, 619, 619, 619, 620, 620, 620, 621, 621, 621, 622, 622, 623, 623, 624, 624, 625, 625, 626, 626, 626, 627, 627, 628, 628, 629, 629, 630, 630, 630, 630, 631, 631, 631, 632, 632, 632, 632, 633, 633, 633, 634, 634, 634, 635, 635, 636, 636, 637, 637, 638, 638, 639, 639, 639, 640, 640, 640, 641, 641, 642, 642, 643, 643, 644, 644, 645, 645, 645, 646, 646, 647, 647, 648, 648, 648, 649, 649, 650, 650, 651, 651, 652, 652, 653, 653, 654, 654, 654, 654, 655, 655, 655, 656, 656, 656, 657, 657, 657, 657, 658, 658, 659, 659, 659, 660, 660, 661, 661, 661, 661, 662, 662, 663, 663, 664, 664, 665, 665, 665, 666, 666, 667, 667, 667, 668, 668, 669, 669, 669, 670, 670, 671, 671, 671, 672, 672, 673, 673, 673, 674, 674, 674, 674, 675, 675, 675, 675, 676, 676, 676, 676, 677, 677, 678, 678, 679, 679, 679, 680, 680, 680, 681, 681, 681, 682, 682, 682, 683, 683, 684, 684, 684, 685, 685, 685, 686, 686, 687, 687, 687, 688, 688, 689, 689, 690, 690, 691, 691, 691, 692, 692, 692, 693, 693, 694, 694, 695, 695, 695, 695, 696, 696, 696, 697, 697, 697, 697, 698, 698, 699, 699, 700, 700, 700, 700, 701, 701, 701, 702, 702, 703, 703, 703, 704, 704, 704, 705, 705, 706, 706, 706, 707, 707, 707, 708, 708, 708, 709, 709, 710, 710, 711, 711, 711, 711, 712, 712, 712, 713, 713, 714, 714, 714, 715, 715, 715, 716, 716, 717, 717, 717, 718, 718, 718, 718, 719, 719, 720, 720, 721, 721, 722, 722, 722, 723, 723, 723, 724, 724, 725, 725, 725, 726, 726, 726, 727, 727, 728, 728, 729, 729, 729, 730, 730, 731, 731, 731, 732, 732, 732, 732, 733, 733, 733, 734, 734, 734, 734, 735, 735, 735, 735, 736, 736, 736, 736, 737, 737, 738, 738, 739, 739, 739, 739, 740, 740, 741, 741, 742, 742, 742, 743, 743, 743, 744, 744, 744, 745, 745, 746, 746, 746, 747, 747, 748, 748, 749, 749, 749, 750, 750, 750, 751, 751, 752, 752, 753, 753, 754, 754, 754, 754, 755, 755, 755, 756, 756, 757, 757, 758, 758, 758, 759, 759, 759, 760, 760, 761, 761, 761, 762, 762, 762, 763, 763, 763, 764, 764, 764, 764, 765, 765, 766, 766, 767, 767, 768, 768, 768, 768, 769, 769, 770, 770, 771, 771, 772, 772, 772, 773, 773, 773, 774, 774, 775, 775, 776, 776, 776, 777, 777, 778, 778, 778, 779, 779, 779, 780, 780, 781, 781, 781, 782, 782, 782, 783, 783, 783, 784, 784, 784, 784, 785, 785, 786, 786, 786, 787, 787, 788, 788, 788, 788, 789, 789, 790, 790, 790, 791, 791, 791, 792, 792, 792, 792, 793, 793, 793, 794, 794, 794, 795, 795, 796, 796, 796, 797, 797, 797, 797, 798, 798, 798, 799, 799, 800, 800, 800, 800, 801, 801, 802, 802, 803, 803, 804, 804, 805, 805, 805, 806, 806, 806, 807, 807, 807, 808, 808, 809, 809, 810, 810, 811, 811, 811, 812, 812, 813, 813, 814, 814, 814, 814, 815, 815, 816, 816, 817, 817, 818, 818, 818, 819, 819, 819, 820, 820, 820, 820, 821, 821, 821, 822, 822, 822, 823, 823, 823, 823, 824, 824, 825, 825, 825, 826, 826, 826, 827, 827, 828, 828, 828, 829, 829, 829, 830, 830, 831, 831, 832, 832, 832, 833, 833, 834, 834, 834, 835, 835, 836, 836, 836, 837, 837, 837, 838, 838, 838, 838, 839, 839, 839, 840, 840, 841, 841, 841, 842, 842, 843, 843, 844, 844, 845, 845, 846, 846, 847, 847, 847, 848, 848, 849, 849, 850, 850, 850, 850, 851, 851, 851, 852, 852, 853, 853, 853, 854, 854, 854, 855, 855, 855, 856, 856, 857, 857, 857, 858, 858, 859, 859, 859, 860, 860, 860, 861, 861, 861, 861, 862, 862, 862, 863, 863, 863, 863, 864, 864, 864, 865, 865, 865, 866, 866, 866, 867, 867, 867, 868, 868, 869, 869, 869, 870, 870, 871, 871, 872, 872, 872, 873, 873, 874, 874, 874, 875, 875, 875, 876, 876, 877, 877, 878, 878, 878, 878, 879, 879, 880, 880, 880, 881, 881, 881, 881, 882, 882, 882, 883, 883, 883, 884, 884, 884, 885, 885, 885, 885, 886, 886, 886, 887, 887, 887, 888, 888, 889, 889, 890, 890, 891, 891, 891, 892, 892, 892, 892, 893, 893, 893, 893, 894, 894, 894, 895, 895, 895, 895, 896, 896, 897, 897, 898, 898, 898, 899, 899, 899, 900, 900, 901, 901, 901, 902, 902, 902, 903, 903, 903, 904, 904, 905, 905, 906, 906, 906, 906, 907, 907, 907, 908, 908, 908, 909, 909, 910, 910, 911, 911, 912, 912, 912, 913, 913, 913, 914, 914, 914, 915, 915, 915, 916, 916, 916, 916, 917, 917, 917, 918, 918, 918, 919, 919, 919, 920, 920, 920, 921, 921, 921, 922, 922, 923, 923, 924, 924, 925, 925, 925, 925, 926, 926, 926, 926, 927, 927, 928, 928, 928, 929, 929, 930, 930, 930, 930, 931, 931, 932, 932, 933, 933, 934, 934, 934, 935, 935, 936, 936, 936, 937, 937, 937, 938, 938, 939, 939, 940, 940, 941, 941, 942, 942, 942, 942, 943, 943, 943, 944, 944, 945, 945, 946, 946, 946, 946, 947, 947, 948, 948, 948, 949, 949, 950, 950, 950, 950, 951, 951, 951, 952, 952, 952, 953, 953, 953, 953, 954, 954, 955, 955, 955, 956, 956, 957, 957, 958, 958, 959, 959, 960, 960, 960, 961, 961, 962, 962, 962, 963, 963, 963, 963, 964, 964, 964, 965, 965, 966, 966, 967, 967, 967, 968, 968, 969, 969, 969, 970, 970, 970, 971, 971, 971, 971, 972, 972, 972, 973, 973, 974, 974, 975, 975, 975, 976, 976, 976, 977, 977, 978, 978, 978, 979, 979, 979, 980, 980, 980, 980, 981, 981, 982, 982, 982, 982, 983, 983, 983, 984, 984, 985, 985, 985, 985, 986, 986, 986, 986, 987, 987, 987, 988, 988, 988, 989, 989, 989, 990, 990, 990, 990, 991, 991, 991, 992, 992, 992, 992, 993, 993, 994, 994, 994, 994, 995, 995, 995, 996, 996, 996, 996, 997, 997, 997, 998, 998, 999, 999, 999, 1000, 1000, 1000, 1000, 1001, 1001, 1001, 1002, 1002, 1002, 1002, 1003, 1003, 1003, 1004, 1004, 1004, 1005, 1005, 1005, 1006, 1006, 1006, 1007, 1007, 1007, 1008, 1008, 1008, 1009, 1009, 1009, 1010, 1010, 1010, 1011, 1011, 1012, 1012, 1012, 1012, 1013, 1013, 1013, 1014, 1014, 1015, 1015, 1015, 1016, 1016, 1017, 1017, 1018, 1018, 1018, 1019, 1019, 1019, 1020, 1020, 1021, 1021, 1021, 1022, 1022, 1022, 1023, 1023, 1024, 1024, 1025, 1025, 1026, 1026, 1035] Preparing data for: 2019-12-11:00 Levels: [1, 1, 1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 33, 33, 33, 33, 33, 34, 34, 34, 34, 34, 35, 35, 35, 35, 35, 36, 36, 36, 36, 36, 37, 37, 37, 37, 37, 38, 38, 38, 38, 38, 39, 39, 39, 39, 39, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, 43, 43, 43, 43, 43, 44, 44, 44, 44, 44, 45, 45, 45, 45, 45, 46, 46, 46, 46, 46, 47, 47, 47, 47, 47, 48, 48, 48, 48, 48, 49, 49, 49, 49, 49, 50, 50, 50, 50, 50, 51, 51, 51, 51, 51, 52, 52, 52, 52, 52, 53, 53, 53, 53, 53, 54, 54, 54, 54, 54, 55, 55, 55, 55, 55, 56, 56, 56, 56, 56, 57, 57, 57, 57, 57, 58, 58, 58, 58, 58, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 75, 75, 75, 75, 75, 76, 76, 76, 76, 76, 77, 77, 77, 77, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 84, 84, 84, 84, 84, 85, 85, 85, 85, 85, 86, 86, 86, 86, 87, 87, 87, 87, 87, 88, 88, 88, 88, 88, 89, 89, 89, 89, 89, 90, 90, 90, 90, 90, 91, 91, 91, 91, 91, 92, 92, 92, 92, 92, 93, 93, 93, 93, 93, 94, 94, 94, 94, 94, 95, 95, 95, 95, 95, 96, 96, 96, 96, 96, 97, 97, 97, 97, 97, 98, 98, 98, 98, 99, 99, 99, 99, 100, 100, 100, 100, 100, 101, 101, 101, 101, 102, 102, 102, 102, 102, 103, 103, 103, 103, 103, 104, 104, 104, 104, 105, 105, 105, 105, 106, 106, 106, 106, 106, 107, 107, 107, 107, 107, 108, 108, 108, 108, 108, 109, 109, 109, 109, 109, 110, 110, 110, 110, 110, 111, 111, 111, 111, 112, 112, 112, 112, 112, 113, 113, 113, 113, 113, 114, 114, 114, 114, 115, 115, 115, 115, 115, 116, 116, 116, 116, 116, 117, 117, 117, 117, 117, 118, 118, 118, 118, 119, 119, 119, 119, 119, 120, 120, 120, 120, 121, 121, 121, 121, 121, 122, 122, 122, 122, 122, 123, 123, 123, 123, 123, 124, 124, 124, 124, 125, 125, 125, 125, 126, 126, 126, 126, 126, 127, 127, 127, 127, 127, 128, 128, 128, 128, 128, 129, 129, 129, 129, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 132, 132, 132, 132, 132, 133, 133, 133, 133, 133, 134, 134, 134, 134, 134, 135, 135, 135, 135, 135, 136, 136, 136, 136, 136, 137, 137, 137, 137, 138, 138, 138, 138, 138, 139, 139, 139, 139, 139, 140, 140, 140, 140, 140, 141, 141, 141, 141, 141, 142, 142, 142, 142, 142, 143, 143, 143, 143, 144, 144, 144, 144, 145, 145, 145, 145, 145, 146, 146, 146, 146, 147, 147, 147, 147, 148, 148, 148, 148, 148, 149, 149, 149, 149, 150, 150, 150, 150, 150, 151, 151, 151, 152, 152, 152, 152, 153, 153, 153, 153, 153, 154, 154, 154, 154, 154, 155, 155, 155, 155, 155, 156, 156, 156, 156, 156, 157, 157, 157, 158, 158, 158, 158, 158, 159, 159, 159, 159, 160, 160, 160, 160, 161, 161, 161, 161, 161, 162, 162, 162, 162, 162, 163, 163, 163, 163, 163, 164, 164, 164, 164, 165, 165, 165, 165, 165, 166, 166, 166, 166, 166, 167, 167, 167, 167, 168, 168, 168, 169, 169, 169, 169, 170, 170, 170, 170, 170, 171, 171, 171, 171, 171, 172, 172, 172, 172, 172, 173, 173, 173, 173, 173, 174, 174, 174, 174, 174, 175, 175, 175, 175, 176, 176, 176, 176, 176, 177, 177, 177, 177, 178, 178, 178, 178, 178, 179, 179, 179, 179, 179, 180, 180, 180, 180, 180, 181, 181, 181, 181, 181, 182, 182, 182, 182, 183, 183, 183, 183, 184, 184, 184, 184, 185, 185, 185, 185, 186, 186, 186, 186, 187, 187, 187, 187, 187, 188, 188, 188, 188, 189, 189, 189, 189, 189, 190, 190, 190, 190, 190, 191, 191, 191, 191, 191, 192, 192, 192, 192, 192, 193, 193, 193, 193, 193, 194, 194, 194, 194, 194, 195, 195, 195, 195, 196, 196, 196, 196, 196, 197, 197, 197, 197, 198, 198, 198, 198, 199, 199, 199, 199, 199, 200, 200, 200, 200, 200, 201, 201, 201, 201, 202, 202, 202, 203, 203, 203, 203, 204, 204, 204, 204, 205, 205, 205, 205, 206, 206, 206, 206, 206, 207, 207, 207, 207, 207, 208, 208, 208, 208, 209, 209, 209, 209, 209, 210, 210, 210, 210, 211, 211, 211, 211, 212, 212, 212, 212, 213, 213, 213, 213, 214, 214, 214, 214, 215, 215, 215, 215, 215, 216, 216, 216, 216, 216, 217, 217, 217, 217, 218, 218, 218, 218, 219, 219, 219, 219, 220, 220, 220, 220, 221, 221, 221, 221, 222, 222, 222, 222, 223, 223, 223, 223, 223, 224, 224, 224, 224, 225, 225, 225, 225, 225, 226, 226, 226, 226, 226, 227, 227, 227, 227, 227, 228, 228, 228, 228, 228, 229, 229, 229, 229, 229, 230, 230, 230, 230, 231, 231, 231, 231, 231, 232, 232, 232, 233, 233, 233, 233, 233, 234, 234, 234, 234, 234, 235, 235, 235, 236, 236, 236, 236, 237, 237, 237, 237, 238, 238, 238, 238, 238, 239, 239, 239, 240, 240, 240, 240, 240, 241, 241, 241, 241, 242, 242, 242, 242, 243, 243, 243, 244, 244, 244, 244, 245, 245, 245, 245, 246, 246, 246, 246, 247, 247, 247, 247, 248, 248, 248, 248, 249, 249, 249, 249, 249, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 252, 252, 252, 252, 253, 253, 253, 253, 253, 254, 254, 254, 254, 255, 255, 255, 255, 255, 256, 256, 256, 256, 257, 257, 257, 257, 258, 258, 258, 258, 259, 259, 259, 260, 260, 260, 261, 261, 261, 261, 262, 262, 262, 262, 263, 263, 263, 263, 264, 264, 264, 264, 265, 265, 265, 266, 266, 266, 266, 266, 267, 267, 267, 267, 268, 268, 268, 268, 269, 269, 269, 269, 270, 270, 270, 271, 271, 271, 272, 272, 272, 272, 273, 273, 273, 273, 274, 274, 274, 274, 275, 275, 275, 275, 275, 276, 276, 276, 276, 276, 277, 277, 277, 277, 278, 278, 278, 278, 279, 279, 279, 279, 280, 280, 280, 281, 281, 281, 281, 282, 282, 282, 282, 283, 283, 283, 283, 284, 284, 284, 284, 284, 285, 285, 285, 286, 286, 286, 286, 287, 287, 287, 287, 288, 288, 288, 288, 289, 289, 289, 289, 290, 290, 290, 291, 291, 291, 292, 292, 292, 292, 293, 293, 293, 294, 294, 294, 294, 294, 295, 295, 295, 296, 296, 296, 297, 297, 297, 297, 298, 298, 298, 299, 299, 299, 300, 300, 300, 300, 300, 301, 301, 301, 302, 302, 302, 302, 302, 303, 303, 303, 303, 304, 304, 304, 304, 305, 305, 305, 306, 306, 306, 306, 307, 307, 307, 307, 308, 308, 308, 308, 309, 309, 309, 309, 310, 310, 310, 311, 311, 311, 311, 312, 312, 312, 313, 313, 313, 313, 314, 314, 314, 314, 315, 315, 315, 315, 316, 316, 316, 317, 317, 317, 317, 318, 318, 318, 319, 319, 319, 319, 320, 320, 320, 320, 321, 321, 321, 321, 322, 322, 322, 322, 323, 323, 323, 324, 324, 324, 324, 325, 325, 325, 326, 326, 326, 327, 327, 327, 327, 328, 328, 328, 329, 329, 329, 329, 330, 330, 330, 330, 331, 331, 331, 331, 332, 332, 332, 332, 333, 333, 333, 334, 334, 334, 334, 334, 335, 335, 335, 336, 336, 336, 336, 337, 337, 337, 337, 338, 338, 338, 338, 339, 339, 339, 339, 340, 340, 340, 340, 341, 341, 341, 341, 342, 342, 342, 343, 343, 343, 343, 344, 344, 344, 345, 345, 345, 346, 346, 346, 347, 347, 347, 348, 348, 348, 348, 349, 349, 349, 349, 350, 350, 350, 351, 351, 351, 352, 352, 352, 353, 353, 353, 354, 354, 354, 354, 355, 355, 355, 355, 356, 356, 356, 357, 357, 357, 358, 358, 358, 358, 359, 359, 359, 359, 360, 360, 360, 360, 361, 361, 361, 361, 361, 362, 362, 362, 363, 363, 363, 363, 364, 364, 364, 365, 365, 365, 365, 366, 366, 366, 367, 367, 367, 368, 368, 368, 368, 368, 369, 369, 369, 370, 370, 370, 370, 371, 371, 371, 371, 371, 372, 372, 372, 372, 373, 373, 373, 374, 374, 374, 374, 375, 375, 375, 375, 376, 376, 376, 376, 376, 377, 377, 377, 377, 378, 378, 378, 378, 379, 379, 379, 379, 380, 380, 380, 380, 381, 381, 381, 382, 382, 382, 382, 383, 383, 383, 384, 384, 384, 384, 385, 385, 385, 386, 386, 386, 387, 387, 387, 387, 387, 388, 388, 388, 389, 389, 389, 389, 390, 390, 390, 390, 391, 391, 391, 391, 392, 392, 392, 393, 393, 393, 393, 393, 394, 394, 394, 394, 395, 395, 395, 396, 396, 396, 397, 397, 397, 398, 398, 398, 398, 399, 399, 399, 400, 400, 400, 400, 400, 401, 401, 401, 401, 402, 402, 402, 402, 403, 403, 403, 403, 404, 404, 404, 404, 405, 405, 405, 406, 406, 406, 406, 407, 407, 407, 408, 408, 408, 409, 409, 409, 410, 410, 410, 410, 410, 411, 411, 411, 411, 411, 412, 412, 412, 412, 413, 413, 413, 414, 414, 414, 414, 415, 415, 415, 415, 416, 416, 416, 417, 417, 417, 418, 418, 418, 419, 419, 419, 420, 420, 420, 421, 421, 421, 422, 422, 422, 422, 423, 423, 423, 423, 424, 424, 424, 424, 425, 425, 425, 425, 426, 426, 426, 427, 427, 427, 427, 428, 428, 428, 428, 429, 429, 429, 430, 430, 430, 431, 431, 431, 431, 432, 432, 432, 433, 433, 433, 433, 434, 434, 434, 434, 435, 435, 435, 436, 436, 436, 437, 437, 437, 437, 438, 438, 438, 439, 439, 439, 440, 440, 440, 441, 441, 441, 441, 442, 442, 442, 442, 443, 443, 443, 443, 444, 444, 444, 444, 445, 445, 445, 446, 446, 446, 447, 447, 447, 447, 447, 448, 448, 448, 449, 449, 449, 450, 450, 450, 450, 451, 451, 451, 452, 452, 452, 453, 453, 453, 454, 454, 454, 455, 455, 455, 455, 455, 456, 456, 456, 456, 457, 457, 457, 458, 458, 458, 458, 459, 459, 459, 460, 460, 460, 460, 461, 461, 461, 461, 462, 462, 462, 462, 462, 463, 463, 463, 463, 464, 464, 464, 464, 465, 465, 465, 465, 466, 466, 466, 466, 467, 467, 467, 467, 468, 468, 468, 468, 469, 469, 469, 470, 470, 470, 471, 471, 471, 472, 472, 472, 473, 473, 473, 474, 474, 474, 475, 475, 475, 475, 476, 476, 476, 477, 477, 477, 477, 478, 478, 478, 478, 479, 479, 479, 479, 480, 480, 480, 480, 481, 481, 481, 481, 482, 482, 482, 482, 483, 483, 483, 483, 484, 484, 484, 485, 485, 485, 486, 486, 486, 487, 487, 487, 487, 488, 488, 488, 489, 489, 489, 489, 490, 490, 490, 490, 491, 491, 491, 491, 492, 492, 492, 493, 493, 493, 493, 494, 494, 494, 495, 495, 495, 495, 496, 496, 496, 497, 497, 497, 498, 498, 498, 498, 499, 499, 499, 499, 500, 500, 500, 500, 500, 501, 501, 501, 501, 502, 502, 502, 503, 503, 503, 503, 504, 504, 504, 505, 505, 505, 506, 506, 506, 506, 507, 507, 507, 508, 508, 508, 509, 509, 509, 509, 510, 510, 510, 511, 511, 511, 512, 512, 512, 513, 513, 513, 514, 514, 514, 515, 515, 515, 516, 516, 516, 517, 517, 517, 517, 518, 518, 518, 519, 519, 519, 519, 520, 520, 520, 521, 521, 521, 521, 522, 522, 522, 522, 523, 523, 523, 524, 524, 524, 524, 525, 525, 525, 526, 526, 526, 526, 527, 527, 527, 527, 528, 528, 528, 528, 529, 529, 529, 529, 530, 530, 530, 530, 530, 531, 531, 531, 532, 532, 532, 533, 533, 533, 534, 534, 534, 535, 535, 535, 536, 536, 536, 536, 537, 537, 537, 538, 538, 538, 538, 538, 539, 539, 539, 539, 540, 540, 540, 541, 541, 541, 541, 542, 542, 542, 542, 543, 543, 543, 543, 544, 544, 544, 544, 544, 545, 545, 545, 545, 546, 546, 546, 546, 547, 547, 547, 548, 548, 548, 549, 549, 549, 549, 550, 550, 550, 551, 551, 551, 551, 551, 552, 552, 552, 553, 553, 553, 553, 554, 554, 554, 555, 555, 555, 556, 556, 556, 557, 557, 557, 558, 558, 558, 558, 559, 559, 559, 560, 560, 560, 560, 561, 561, 561, 561, 562, 562, 562, 562, 563, 563, 563, 563, 563, 564, 564, 564, 564, 565, 565, 565, 565, 566, 566, 566, 566, 567, 567, 567, 568, 568, 568, 569, 569, 569, 569, 570, 570, 570, 571, 571, 571, 571, 572, 572, 572, 572, 573, 573, 573, 574, 574, 574, 574, 575, 575, 575, 575, 576, 576, 576, 577, 577, 577, 578, 578, 578, 578, 579, 579, 579, 580, 580, 580, 581, 581, 581, 581, 582, 582, 582, 582, 583, 583, 583, 583, 584, 584, 584, 584, 584, 585, 585, 585, 586, 586, 586, 586, 587, 587, 587, 588, 588, 588, 589, 589, 589, 590, 590, 590, 591, 591, 591, 591, 591, 592, 592, 592, 593, 593, 593, 594, 594, 594, 595, 595, 595, 596, 596, 596, 596, 597, 597, 597, 597, 598, 598, 598, 598, 599, 599, 599, 600, 600, 600, 600, 600, 601, 601, 601, 602, 602, 602, 602, 603, 603, 603, 604, 604, 604, 605, 605, 605, 606, 606, 606, 606, 607, 607, 607, 607, 608, 608, 608, 608, 609, 609, 609, 609, 609, 610, 610, 610, 610, 611, 611, 611, 612, 612, 612, 613, 613, 613, 613, 614, 614, 614, 615, 615, 615, 615, 616, 616, 616, 617, 617, 617, 617, 618, 618, 618, 618, 618, 619, 619, 619, 619, 620, 620, 620, 620, 621, 621, 621, 621, 622, 622, 622, 623, 623, 623, 624, 624, 624, 625, 625, 625, 626, 626, 626, 626, 627, 627, 627, 628, 628, 628, 629, 629, 629, 630, 630, 630, 630, 630, 631, 631, 631, 631, 632, 632, 632, 632, 632, 633, 633, 633, 633, 634, 634, 634, 634, 635, 635, 635, 636, 636, 636, 637, 637, 637, 638, 638, 638, 639, 639, 639, 639, 640, 640, 640, 640, 641, 641, 641, 642, 642, 642, 643, 643, 643, 644, 644, 644, 645, 645, 645, 645, 646, 646, 646, 647, 647, 647, 648, 648, 648, 648, 649, 649, 649, 650, 650, 650, 651, 651, 651, 652, 652, 652, 653, 653, 653, 654, 654, 654, 654, 654, 655, 655, 655, 655, 656, 656, 656, 656, 657, 657, 657, 657, 657, 658, 658, 658, 659, 659, 659, 659, 660, 660, 660, 661, 661, 661, 661, 661, 662, 662, 662, 663, 663, 663, 664, 664, 664, 665, 665, 665, 665, 666, 666, 666, 667, 667, 667, 667, 668, 668, 668, 669, 669, 669, 669, 670, 670, 670, 671, 671, 671, 671, 672, 672, 672, 673, 673, 673, 673, 674, 674, 674, 674, 674, 675, 675, 675, 675, 675, 676, 676, 676, 676, 676, 677, 677, 677, 678, 678, 678, 679, 679, 679, 679, 680, 680, 680, 680, 681, 681, 681, 681, 682, 682, 682, 682, 683, 683, 683, 684, 684, 684, 684, 685, 685, 685, 685, 686, 686, 686, 687, 687, 687, 687, 688, 688, 688, 689, 689, 689, 690, 690, 690, 691, 691, 691, 691, 692, 692, 692, 692, 693, 693, 693, 694, 694, 694, 695, 695, 695, 695, 695, 696, 696, 696, 696, 697, 697, 697, 697, 697, 698, 698, 698, 699, 699, 699, 700, 700, 700, 700, 700, 701, 701, 701, 701, 702, 702, 702, 703, 703, 703, 703, 704, 704, 704, 704, 705, 705, 705, 706, 706, 706, 706, 707, 707, 707, 707, 708, 708, 708, 708, 709, 709, 709, 710, 710, 710, 711, 711, 711, 711, 711, 712, 712, 712, 712, 713, 713, 713, 714, 714, 714, 714, 715, 715, 715, 715, 716, 716, 716, 717, 717, 717, 717, 718, 718, 718, 718, 718, 719, 719, 719, 720, 720, 720, 721, 721, 721, 722, 722, 722, 722, 723, 723, 723, 723, 724, 724, 724, 725, 725, 725, 725, 726, 726, 726, 726, 727, 727, 727, 728, 728, 728, 729, 729, 729, 729, 730, 730, 730, 731, 731, 731, 731, 732, 732, 732, 732, 732, 733, 733, 733, 733, 734, 734, 734, 734, 734, 735, 735, 735, 735, 735, 736, 736, 736, 736, 736, 737, 737, 737, 738, 738, 738, 739, 739, 739, 739, 739, 740, 740, 740, 741, 741, 741, 742, 742, 742, 742, 743, 743, 743, 743, 744, 744, 744, 744, 745, 745, 745, 746, 746, 746, 746, 747, 747, 747, 748, 748, 748, 749, 749, 749, 749, 750, 750, 750, 750, 751, 751, 751, 752, 752, 752, 753, 753, 753, 754, 754, 754, 754, 754, 755, 755, 755, 755, 756, 756, 756, 757, 757, 757, 758, 758, 758, 758, 759, 759, 759, 759, 760, 760, 760, 761, 761, 761, 761, 762, 762, 762, 762, 763, 763, 763, 763, 764, 764, 764, 764, 764, 765, 765, 765, 766, 766, 766, 767, 767, 767, 768, 768, 768, 768, 768, 769, 769, 769, 770, 770, 770, 771, 771, 771, 772, 772, 772, 772, 773, 773, 773, 773, 774, 774, 774, 775, 775, 775, 776, 776, 776, 776, 777, 777, 777, 778, 778, 778, 778, 779, 779, 779, 779, 780, 780, 780, 781, 781, 781, 781, 782, 782, 782, 782, 783, 783, 783, 783, 784, 784, 784, 784, 784, 785, 785, 785, 786, 786, 786, 786, 787, 787, 787, 788, 788, 788, 788, 788, 789, 789, 789, 790, 790, 790, 790, 791, 791, 791, 791, 792, 792, 792, 792, 792, 793, 793, 793, 793, 794, 794, 794, 794, 795, 795, 795, 796, 796, 796, 796, 797, 797, 797, 797, 797, 798, 798, 798, 798, 799, 799, 799, 800, 800, 800, 800, 800, 801, 801, 801, 802, 802, 802, 803, 803, 803, 804, 804, 804, 805, 805, 805, 805, 806, 806, 806, 806, 807, 807, 807, 807, 808, 808, 808, 809, 809, 809, 810, 810, 810, 811, 811, 811, 811, 812, 812, 812, 813, 813, 813, 814, 814, 814, 814, 814, 815, 815, 815, 816, 816, 816, 817, 817, 817, 818, 818, 818, 818, 819, 819, 819, 819, 820, 820, 820, 820, 820, 821, 821, 821, 821, 822, 822, 822, 822, 823, 823, 823, 823, 823, 824, 824, 824, 825, 825, 825, 825, 826, 826, 826, 826, 827, 827, 827, 828, 828, 828, 828, 829, 829, 829, 829, 830, 830, 830, 831, 831, 831, 832, 832, 832, 832, 833, 833, 833, 834, 834, 834, 834, 835, 835, 835, 836, 836, 836, 836, 837, 837, 837, 837, 838, 838, 838, 838, 838, 839, 839, 839, 839, 840, 840, 840, 841, 841, 841, 841, 842, 842, 842, 843, 843, 843, 844, 844, 844, 845, 845, 845, 846, 846, 846, 847, 847, 847, 847, 848, 848, 848, 849, 849, 849, 850, 850, 850, 850, 850, 851, 851, 851, 851, 852, 852, 852, 853, 853, 853, 853, 854, 854, 854, 854, 855, 855, 855, 855, 856, 856, 856, 857, 857, 857, 857, 858, 858, 858, 859, 859, 859, 859, 860, 860, 860, 860, 861, 861, 861, 861, 861, 862, 862, 862, 862, 863, 863, 863, 863, 863, 864, 864, 864, 864, 865, 865, 865, 865, 866, 866, 866, 866, 867, 867, 867, 867, 868, 868, 868, 869, 869, 869, 869, 870, 870, 870, 871, 871, 871, 872, 872, 872, 872, 873, 873, 873, 874, 874, 874, 874, 875, 875, 875, 875, 876, 876, 876, 877, 877, 877, 878, 878, 878, 878, 878, 879, 879, 879, 880, 880, 880, 880, 881, 881, 881, 881, 881, 882, 882, 882, 882, 883, 883, 883, 883, 884, 884, 884, 884, 885, 885, 885, 885, 885, 886, 886, 886, 886, 887, 887, 887, 887, 888, 888, 888, 889, 889, 889, 890, 890, 890, 891, 891, 891, 891, 892, 892, 892, 892, 892, 893, 893, 893, 893, 893, 894, 894, 894, 894, 895, 895, 895, 895, 895, 896, 896, 896, 897, 897, 897, 898, 898, 898, 898, 899, 899, 899, 899, 900, 900, 900, 901, 901, 901, 901, 902, 902, 902, 902, 903, 903, 903, 903, 904, 904, 904, 905, 905, 905, 906, 906, 906, 906, 906, 907, 907, 907, 907, 908, 908, 908, 908, 909, 909, 909, 910, 910, 910, 911, 911, 911, 912, 912, 912, 912, 913, 913, 913, 913, 914, 914, 914, 914, 915, 915, 915, 915, 916, 916, 916, 916, 916, 917, 917, 917, 917, 918, 918, 918, 918, 919, 919, 919, 919, 920, 920, 920, 920, 921, 921, 921, 921, 922, 922, 922, 923, 923, 923, 924, 924, 924, 925, 925, 925, 925, 925, 926, 926, 926, 926, 926, 927, 927, 927, 928, 928, 928, 928, 929, 929, 929, 930, 930, 930, 930, 930, 931, 931, 931, 932, 932, 932, 933, 933, 933, 934, 934, 934, 934, 935, 935, 935, 936, 936, 936, 936, 937, 937, 937, 937, 938, 938, 938, 939, 939, 939, 940, 940, 940, 941, 941, 941, 942, 942, 942, 942, 942, 943, 943, 943, 943, 944, 944, 944, 945, 945, 945, 946, 946, 946, 946, 946, 947, 947, 947, 948, 948, 948, 948, 949, 949, 949, 950, 950, 950, 950, 950, 951, 951, 951, 951, 952, 952, 952, 952, 953, 953, 953, 953, 953, 954, 954, 954, 955, 955, 955, 955, 956, 956, 956, 957, 957, 957, 958, 958, 958, 959, 959, 959, 960, 960, 960, 960, 961, 961, 961, 962, 962, 962, 962, 963, 963, 963, 963, 963, 964, 964, 964, 964, 965, 965, 965, 966, 966, 966, 967, 967, 967, 967, 968, 968, 968, 969, 969, 969, 969, 970, 970, 970, 970, 971, 971, 971, 971, 971, 972, 972, 972, 972, 973, 973, 973, 974, 974, 974, 975, 975, 975, 975, 976, 976, 976, 976, 977, 977, 977, 978, 978, 978, 978, 979, 979, 979, 979, 980, 980, 980, 980, 980, 981, 981, 981, 982, 982, 982, 982, 982, 983, 983, 983, 983, 984, 984, 984, 985, 985, 985, 985, 985, 986, 986, 986, 986, 986, 987, 987, 987, 987, 988, 988, 988, 988, 989, 989, 989, 989, 990, 990, 990, 990, 990, 991, 991, 991, 991, 992, 992, 992, 992, 992, 993, 993, 993, 994, 994, 994, 994, 994, 995, 995, 995, 995, 996, 996, 996, 996, 996, 997, 997, 997, 997, 998, 998, 998, 999, 999, 999, 999, 1000, 1000, 1000, 1000, 1000, 1001, 1001, 1001, 1001, 1002, 1002, 1002, 1002, 1002, 1003, 1003, 1003, 1003, 1004, 1004, 1004, 1004, 1005, 1005, 1005, 1005, 1006, 1006, 1006, 1006, 1007, 1007, 1007, 1007, 1008, 1008, 1008, 1008, 1009, 1009, 1009, 1009, 1010, 1010, 1010, 1010, 1011, 1011, 1011, 1012, 1012, 1012, 1012, 1012, 1013, 1013, 1013, 1013, 1014, 1014, 1014, 1015, 1015, 1015, 1015, 1016, 1016, 1016, 1017, 1017, 1017, 1018, 1018, 1018, 1018, 1019, 1019, 1019, 1019, 1020, 1020, 1020, 1021, 1021, 1021, 1021, 1022, 1022, 1022, 1022, 1023, 1023, 1023, 1024, 1024, 1024, 1025, 1025, 1026, 1026, 1032, 1035] Preparing data for: 2019-12-11:06 Levels: [1, 1, 1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 32, 33, 33, 33, 33, 33, 33, 34, 34, 34, 34, 34, 34, 35, 35, 35, 35, 35, 35, 36, 36, 36, 36, 36, 36, 37, 37, 37, 37, 37, 37, 38, 38, 38, 38, 38, 38, 39, 39, 39, 39, 39, 39, 40, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, 42, 43, 43, 43, 43, 43, 43, 44, 44, 44, 44, 44, 44, 45, 45, 45, 45, 45, 45, 46, 46, 46, 46, 46, 46, 47, 47, 47, 47, 47, 47, 48, 48, 48, 48, 48, 48, 49, 49, 49, 49, 49, 49, 50, 50, 50, 50, 50, 50, 51, 51, 51, 51, 51, 51, 52, 52, 52, 52, 52, 52, 53, 53, 53, 53, 53, 53, 54, 54, 54, 54, 54, 54, 55, 55, 55, 55, 55, 55, 56, 56, 56, 56, 56, 56, 57, 57, 57, 57, 57, 57, 58, 58, 58, 58, 58, 58, 59, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 62, 63, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 64, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 74, 75, 75, 75, 75, 75, 75, 76, 76, 76, 76, 76, 76, 77, 77, 77, 77, 77, 78, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 79, 80, 80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 83, 84, 84, 84, 84, 84, 84, 85, 85, 85, 85, 85, 85, 86, 86, 86, 86, 86, 87, 87, 87, 87, 87, 87, 88, 88, 88, 88, 88, 88, 89, 89, 89, 89, 89, 89, 90, 90, 90, 90, 90, 90, 91, 91, 91, 91, 91, 91, 92, 92, 92, 92, 92, 92, 93, 93, 93, 93, 93, 93, 94, 94, 94, 94, 94, 94, 95, 95, 95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 97, 97, 97, 97, 97, 97, 98, 98, 98, 98, 98, 99, 99, 99, 99, 100, 100, 100, 100, 100, 100, 101, 101, 101, 101, 101, 102, 102, 102, 102, 102, 102, 103, 103, 103, 103, 103, 103, 104, 104, 104, 104, 104, 105, 105, 105, 105, 106, 106, 106, 106, 106, 106, 107, 107, 107, 107, 107, 107, 108, 108, 108, 108, 108, 108, 109, 109, 109, 109, 109, 109, 110, 110, 110, 110, 110, 111, 111, 111, 111, 111, 112, 112, 112, 112, 112, 112, 113, 113, 113, 113, 113, 113, 114, 114, 114, 114, 114, 115, 115, 115, 115, 115, 115, 116, 116, 116, 116, 116, 116, 117, 117, 117, 117, 117, 117, 118, 118, 118, 118, 118, 119, 119, 119, 119, 119, 119, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 122, 122, 122, 122, 122, 122, 123, 123, 123, 123, 123, 123, 124, 124, 124, 124, 124, 125, 125, 125, 125, 125, 126, 126, 126, 126, 126, 126, 127, 127, 127, 127, 127, 127, 128, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 131, 132, 132, 132, 132, 132, 132, 133, 133, 133, 133, 133, 133, 134, 134, 134, 134, 134, 134, 135, 135, 135, 135, 135, 135, 136, 136, 136, 136, 136, 136, 137, 137, 137, 137, 137, 138, 138, 138, 138, 138, 138, 139, 139, 139, 139, 139, 139, 140, 140, 140, 140, 140, 140, 141, 141, 141, 141, 141, 141, 142, 142, 142, 142, 142, 143, 143, 143, 143, 143, 144, 144, 144, 144, 144, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 147, 147, 147, 147, 147, 148, 148, 148, 148, 148, 148, 149, 149, 149, 149, 150, 150, 150, 150, 150, 150, 151, 151, 151, 151, 152, 152, 152, 152, 152, 153, 153, 153, 153, 153, 153, 154, 154, 154, 154, 154, 154, 155, 155, 155, 155, 155, 155, 156, 156, 156, 156, 156, 156, 157, 157, 157, 157, 158, 158, 158, 158, 158, 158, 159, 159, 159, 159, 159, 160, 160, 160, 160, 160, 161, 161, 161, 161, 161, 161, 162, 162, 162, 162, 162, 163, 163, 163, 163, 163, 164, 164, 164, 164, 164, 165, 165, 165, 165, 165, 165, 166, 166, 166, 166, 166, 166, 167, 167, 167, 167, 167, 168, 168, 168, 168, 169, 169, 169, 169, 169, 170, 170, 170, 170, 170, 171, 171, 171, 171, 171, 171, 172, 172, 172, 172, 172, 172, 173, 173, 173, 173, 173, 173, 174, 174, 174, 174, 174, 174, 175, 175, 175, 175, 175, 176, 176, 176, 176, 176, 176, 177, 177, 177, 177, 177, 178, 178, 178, 178, 178, 178, 179, 179, 179, 179, 179, 179, 180, 180, 180, 180, 180, 180, 181, 181, 181, 181, 181, 181, 182, 182, 182, 182, 182, 183, 183, 183, 183, 184, 184, 184, 184, 184, 185, 185, 185, 185, 185, 186, 186, 186, 186, 187, 187, 187, 187, 187, 187, 188, 188, 188, 188, 188, 189, 189, 189, 189, 189, 189, 190, 190, 190, 190, 190, 190, 191, 191, 191, 191, 191, 191, 192, 192, 192, 192, 192, 192, 193, 193, 193, 193, 193, 193, 194, 194, 194, 194, 194, 195, 195, 195, 195, 196, 196, 196, 196, 196, 196, 197, 197, 197, 197, 198, 198, 198, 198, 198, 199, 199, 199, 199, 199, 199, 200, 200, 200, 200, 200, 200, 201, 201, 201, 201, 201, 202, 202, 202, 202, 203, 203, 203, 203, 204, 204, 204, 204, 204, 205, 205, 205, 205, 206, 206, 206, 206, 206, 206, 207, 207, 207, 207, 207, 207, 208, 208, 208, 208, 209, 209, 209, 209, 209, 210, 210, 210, 210, 211, 211, 211, 211, 211, 212, 212, 212, 212, 212, 213, 213, 213, 213, 214, 214, 214, 214, 214, 215, 215, 215, 215, 215, 215, 216, 216, 216, 216, 216, 217, 217, 217, 217, 217, 218, 218, 218, 218, 219, 219, 219, 219, 220, 220, 220, 220, 220, 221, 221, 221, 221, 222, 222, 222, 222, 222, 223, 223, 223, 223, 223, 224, 224, 224, 224, 224, 225, 225, 225, 225, 225, 225, 226, 226, 226, 226, 226, 226, 227, 227, 227, 227, 227, 228, 228, 228, 228, 228, 228, 229, 229, 229, 229, 229, 229, 230, 230, 230, 230, 231, 231, 231, 231, 231, 232, 232, 232, 233, 233, 233, 233, 233, 233, 234, 234, 234, 234, 234, 234, 235, 235, 235, 235, 236, 236, 236, 236, 236, 237, 237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 239, 239, 239, 239, 240, 240, 240, 240, 240, 240, 241, 241, 241, 241, 241, 242, 242, 242, 242, 242, 243, 243, 243, 244, 244, 244, 244, 244, 245, 245, 245, 245, 245, 246, 246, 246, 246, 247, 247, 247, 247, 248, 248, 248, 248, 249, 249, 249, 249, 249, 249, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 253, 253, 253, 253, 253, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 256, 256, 256, 256, 256, 257, 257, 257, 257, 257, 258, 258, 258, 258, 259, 259, 259, 260, 260, 260, 261, 261, 261, 261, 262, 262, 262, 262, 262, 263, 263, 263, 263, 263, 264, 264, 264, 264, 264, 265, 265, 265, 266, 266, 266, 266, 266, 267, 267, 267, 267, 267, 268, 268, 268, 268, 268, 269, 269, 269, 269, 270, 270, 270, 270, 271, 271, 271, 271, 272, 272, 272, 272, 272, 273, 273, 273, 273, 273, 274, 274, 274, 274, 275, 275, 275, 275, 275, 276, 276, 276, 276, 276, 277, 277, 277, 277, 278, 278, 278, 278, 279, 279, 279, 279, 279, 280, 280, 280, 280, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282, 283, 283, 283, 283, 283, 284, 284, 284, 284, 284, 284, 285, 285, 285, 286, 286, 286, 286, 287, 287, 287, 287, 288, 288, 288, 288, 288, 289, 289, 289, 289, 289, 290, 290, 290, 291, 291, 291, 291, 292, 292, 292, 292, 292, 293, 293, 293, 294, 294, 294, 294, 294, 295, 295, 295, 295, 296, 296, 296, 297, 297, 297, 297, 298, 298, 298, 298, 299, 299, 299, 300, 300, 300, 300, 300, 300, 301, 301, 301, 301, 302, 302, 302, 302, 302, 303, 303, 303, 303, 303, 304, 304, 304, 304, 304, 305, 305, 305, 305, 306, 306, 306, 306, 307, 307, 307, 307, 307, 308, 308, 308, 308, 309, 309, 309, 309, 309, 310, 310, 310, 310, 311, 311, 311, 311, 311, 312, 312, 312, 312, 313, 313, 313, 313, 314, 314, 314, 314, 315, 315, 315, 315, 316, 316, 316, 317, 317, 317, 317, 318, 318, 318, 319, 319, 319, 319, 319, 320, 320, 320, 320, 321, 321, 321, 321, 322, 322, 322, 322, 323, 323, 323, 324, 324, 324, 324, 324, 325, 325, 325, 326, 326, 326, 327, 327, 327, 327, 328, 328, 328, 329, 329, 329, 329, 329, 330, 330, 330, 330, 330, 331, 331, 331, 331, 331, 332, 332, 332, 332, 332, 333, 333, 333, 333, 334, 334, 334, 334, 334, 335, 335, 335, 336, 336, 336, 336, 336, 337, 337, 337, 337, 338, 338, 338, 338, 338, 339, 339, 339, 339, 340, 340, 340, 340, 340, 341, 341, 341, 341, 342, 342, 342, 343, 343, 343, 343, 343, 344, 344, 344, 344, 345, 345, 345, 345, 346, 346, 346, 346, 347, 347, 347, 348, 348, 348, 348, 348, 349, 349, 349, 349, 350, 350, 350, 351, 351, 351, 351, 352, 352, 352, 353, 353, 353, 354, 354, 354, 354, 354, 355, 355, 355, 355, 356, 356, 356, 357, 357, 357, 357, 358, 358, 358, 358, 359, 359, 359, 359, 359, 360, 360, 360, 360, 361, 361, 361, 361, 361, 361, 362, 362, 362, 363, 363, 363, 363, 364, 364, 364, 365, 365, 365, 365, 365, 366, 366, 366, 367, 367, 367, 367, 368, 368, 368, 368, 368, 369, 369, 369, 370, 370, 370, 370, 371, 371, 371, 371, 371, 372, 372, 372, 372, 372, 373, 373, 373, 374, 374, 374, 374, 374, 375, 375, 375, 375, 376, 376, 376, 376, 376, 376, 377, 377, 377, 377, 377, 378, 378, 378, 378, 378, 379, 379, 379, 379, 380, 380, 380, 380, 380, 381, 381, 381, 381, 382, 382, 382, 382, 382, 383, 383, 383, 383, 384, 384, 384, 384, 384, 385, 385, 385, 386, 386, 386, 387, 387, 387, 387, 387, 387, 388, 388, 388, 388, 389, 389, 389, 389, 390, 390, 390, 390, 391, 391, 391, 391, 392, 392, 392, 393, 393, 393, 393, 393, 394, 394, 394, 394, 395, 395, 395, 396, 396, 396, 397, 397, 397, 398, 398, 398, 398, 399, 399, 399, 399, 400, 400, 400, 400, 400, 400, 401, 401, 401, 401, 402, 402, 402, 402, 403, 403, 403, 403, 404, 404, 404, 404, 404, 405, 405, 405, 405, 406, 406, 406, 406, 406, 407, 407, 407, 407, 408, 408, 408, 409, 409, 409, 410, 410, 410, 410, 410, 411, 411, 411, 411, 411, 412, 412, 412, 412, 413, 413, 413, 413, 414, 414, 414, 414, 415, 415, 415, 415, 415, 416, 416, 416, 417, 417, 417, 418, 418, 418, 419, 419, 419, 420, 420, 420, 421, 421, 421, 422, 422, 422, 422, 422, 423, 423, 423, 423, 423, 424, 424, 424, 424, 425, 425, 425, 425, 426, 426, 426, 427, 427, 427, 427, 427, 428, 428, 428, 428, 428, 429, 429, 429, 430, 430, 430, 431, 431, 431, 431, 432, 432, 432, 432, 433, 433, 433, 433, 434, 434, 434, 434, 434, 435, 435, 435, 436, 436, 436, 437, 437, 437, 437, 437, 438, 438, 438, 439, 439, 439, 439, 440, 440, 440, 441, 441, 441, 441, 441, 442, 442, 442, 442, 443, 443, 443, 443, 444, 444, 444, 444, 445, 445, 445, 446, 446, 446, 447, 447, 447, 447, 447, 448, 448, 448, 449, 449, 449, 450, 450, 450, 450, 450, 451, 451, 451, 452, 452, 452, 452, 453, 453, 453, 454, 454, 454, 454, 455, 455, 455, 455, 455, 455, 456, 456, 456, 456, 457, 457, 457, 457, 458, 458, 458, 458, 459, 459, 459, 460, 460, 460, 460, 461, 461, 461, 461, 461, 462, 462, 462, 462, 462, 462, 463, 463, 463, 463, 464, 464, 464, 464, 464, 465, 465, 465, 465, 465, 466, 466, 466, 466, 467, 467, 467, 467, 468, 468, 468, 468, 469, 469, 469, 470, 470, 470, 471, 471, 471, 472, 472, 472, 472, 473, 473, 473, 474, 474, 474, 475, 475, 475, 475, 476, 476, 476, 476, 477, 477, 477, 477, 478, 478, 478, 478, 479, 479, 479, 479, 479, 480, 480, 480, 480, 481, 481, 481, 481, 482, 482, 482, 482, 483, 483, 483, 483, 483, 484, 484, 484, 485, 485, 485, 485, 486, 486, 486, 486, 487, 487, 487, 487, 488, 488, 488, 489, 489, 489, 489, 489, 490, 490, 490, 490, 491, 491, 491, 491, 492, 492, 492, 492, 493, 493, 493, 493, 494, 494, 494, 495, 495, 495, 495, 496, 496, 496, 496, 497, 497, 497, 497, 498, 498, 498, 498, 499, 499, 499, 499, 500, 500, 500, 500, 500, 500, 501, 501, 501, 501, 502, 502, 502, 502, 503, 503, 503, 503, 504, 504, 504, 504, 505, 505, 505, 506, 506, 506, 506, 507, 507, 507, 508, 508, 508, 509, 509, 509, 509, 509, 510, 510, 510, 510, 511, 511, 511, 511, 512, 512, 512, 513, 513, 513, 513, 514, 514, 514, 515, 515, 515, 515, 516, 516, 516, 517, 517, 517, 517, 518, 518, 518, 519, 519, 519, 519, 520, 520, 520, 520, 521, 521, 521, 521, 521, 522, 522, 522, 522, 522, 523, 523, 523, 523, 524, 524, 524, 524, 525, 525, 525, 526, 526, 526, 526, 527, 527, 527, 527, 528, 528, 528, 528, 529, 529, 529, 529, 529, 530, 530, 530, 530, 530, 531, 531, 531, 532, 532, 532, 532, 533, 533, 533, 534, 534, 534, 534, 535, 535, 535, 536, 536, 536, 536, 537, 537, 537, 537, 538, 538, 538, 538, 538, 539, 539, 539, 539, 540, 540, 540, 541, 541, 541, 541, 542, 542, 542, 542, 542, 543, 543, 543, 543, 543, 544, 544, 544, 544, 544, 544, 545, 545, 545, 545, 546, 546, 546, 546, 547, 547, 547, 548, 548, 548, 549, 549, 549, 549, 550, 550, 550, 550, 551, 551, 551, 551, 551, 551, 552, 552, 552, 553, 553, 553, 553, 554, 554, 554, 554, 555, 555, 555, 556, 556, 556, 556, 557, 557, 557, 558, 558, 558, 558, 559, 559, 559, 560, 560, 560, 560, 561, 561, 561, 561, 561, 562, 562, 562, 562, 563, 563, 563, 563, 563, 564, 564, 564, 564, 565, 565, 565, 565, 566, 566, 566, 566, 566, 567, 567, 567, 568, 568, 568, 569, 569, 569, 569, 570, 570, 570, 571, 571, 571, 571, 572, 572, 572, 572, 573, 573, 573, 574, 574, 574, 574, 575, 575, 575, 575, 575, 576, 576, 576, 577, 577, 577, 578, 578, 578, 578, 578, 579, 579, 579, 580, 580, 580, 580, 581, 581, 581, 581, 582, 582, 582, 582, 583, 583, 583, 583, 583, 584, 584, 584, 584, 584, 585, 585, 585, 586, 586, 586, 586, 586, 587, 587, 587, 587, 588, 588, 588, 589, 589, 589, 590, 590, 590, 591, 591, 591, 591, 591, 591, 592, 592, 592, 593, 593, 593, 593, 594, 594, 594, 594, 595, 595, 595, 596, 596, 596, 596, 597, 597, 597, 597, 598, 598, 598, 598, 598, 599, 599, 599, 600, 600, 600, 600, 600, 600, 601, 601, 601, 602, 602, 602, 602, 602, 603, 603, 603, 603, 604, 604, 604, 604, 605, 605, 605, 606, 606, 606, 606, 607, 607, 607, 607, 607, 608, 608, 608, 608, 609, 609, 609, 609, 609, 610, 610, 610, 610, 610, 611, 611, 611, 612, 612, 612, 613, 613, 613, 613, 614, 614, 614, 615, 615, 615, 615, 616, 616, 616, 616, 617, 617, 617, 617, 618, 618, 618, 618, 618, 618, 619, 619, 619, 619, 620, 620, 620, 620, 621, 621, 621, 621, 622, 622, 622, 623, 623, 623, 624, 624, 624, 625, 625, 625, 626, 626, 626, 626, 626, 627, 627, 627, 628, 628, 628, 629, 629, 629, 629, 630, 630, 630, 630, 630, 631, 631, 631, 631, 631, 632, 632, 632, 632, 632, 632, 633, 633, 633, 633, 634, 634, 634, 634, 634, 635, 635, 635, 636, 636, 636, 637, 637, 637, 638, 638, 638, 639, 639, 639, 639, 640, 640, 640, 640, 640, 641, 641, 641, 642, 642, 642, 642, 643, 643, 643, 643, 644, 644, 644, 645, 645, 645, 645, 646, 646, 646, 646, 647, 647, 647, 647, 648, 648, 648, 648, 649, 649, 649, 650, 650, 650, 651, 651, 651, 651, 652, 652, 652, 653, 653, 653, 654, 654, 654, 654, 654, 655, 655, 655, 655, 656, 656, 656, 656, 656, 657, 657, 657, 657, 657, 658, 658, 658, 659, 659, 659, 659, 659, 660, 660, 660, 661, 661, 661, 661, 661, 662, 662, 662, 662, 663, 663, 663, 664, 664, 664, 664, 665, 665, 665, 665, 666, 666, 666, 666, 667, 667, 667, 667, 668, 668, 668, 669, 669, 669, 669, 670, 670, 670, 671, 671, 671, 671, 672, 672, 672, 672, 673, 673, 673, 673, 674, 674, 674, 674, 674, 674, 675, 675, 675, 675, 675, 675, 676, 676, 676, 676, 676, 677, 677, 677, 677, 678, 678, 678, 679, 679, 679, 679, 680, 680, 680, 680, 680, 681, 681, 681, 681, 682, 682, 682, 682, 683, 683, 683, 684, 684, 684, 684, 684, 685, 685, 685, 685, 686, 686, 686, 687, 687, 687, 687, 687, 688, 688, 688, 688, 689, 689, 689, 690, 690, 690, 691, 691, 691, 691, 692, 692, 692, 692, 693, 693, 693, 693, 694, 694, 694, 695, 695, 695, 695, 695, 695, 696, 696, 696, 696, 696, 697, 697, 697, 697, 697, 698, 698, 698, 698, 699, 699, 699, 700, 700, 700, 700, 700, 700, 701, 701, 701, 701, 702, 702, 702, 702, 703, 703, 703, 703, 704, 704, 704, 704, 705, 705, 705, 706, 706, 706, 706, 707, 707, 707, 707, 707, 708, 708, 708, 708, 709, 709, 709, 710, 710, 710, 710, 711, 711, 711, 711, 711, 711, 712, 712, 712, 712, 713, 713, 713, 714, 714, 714, 714, 715, 715, 715, 715, 716, 716, 716, 717, 717, 717, 717, 718, 718, 718, 718, 718, 719, 719, 719, 720, 720, 720, 721, 721, 721, 722, 722, 722, 722, 723, 723, 723, 723, 724, 724, 724, 725, 725, 725, 725, 725, 726, 726, 726, 726, 726, 727, 727, 727, 728, 728, 728, 729, 729, 729, 729, 730, 730, 730, 731, 731, 731, 731, 732, 732, 732, 732, 732, 732, 733, 733, 733, 733, 734, 734, 734, 734, 734, 735, 735, 735, 735, 735, 735, 736, 736, 736, 736, 736, 737, 737, 737, 738, 738, 738, 738, 739, 739, 739, 739, 739, 739, 740, 740, 740, 740, 741, 741, 741, 742, 742, 742, 742, 743, 743, 743, 743, 744, 744, 744, 744, 744, 745, 745, 745, 746, 746, 746, 746, 747, 747, 747, 748, 748, 748, 749, 749, 749, 749, 750, 750, 750, 750, 750, 751, 751, 751, 752, 752, 752, 752, 753, 753, 753, 753, 754, 754, 754, 754, 754, 755, 755, 755, 755, 756, 756, 756, 757, 757, 757, 758, 758, 758, 758, 758, 759, 759, 759, 759, 760, 760, 760, 761, 761, 761, 761, 761, 762, 762, 762, 762, 763, 763, 763, 763, 763, 764, 764, 764, 764, 764, 765, 765, 765, 766, 766, 766, 766, 767, 767, 767, 768, 768, 768, 768, 768, 769, 769, 769, 769, 770, 770, 770, 770, 771, 771, 771, 772, 772, 772, 772, 773, 773, 773, 773, 774, 774, 774, 774, 775, 775, 775, 776, 776, 776, 776, 777, 777, 777, 778, 778, 778, 778, 779, 779, 779, 779, 780, 780, 780, 781, 781, 781, 781, 782, 782, 782, 782, 782, 783, 783, 783, 783, 783, 784, 784, 784, 784, 784, 785, 785, 785, 786, 786, 786, 786, 786, 787, 787, 787, 788, 788, 788, 788, 788, 789, 789, 789, 789, 790, 790, 790, 790, 790, 791, 791, 791, 791, 791, 792, 792, 792, 792, 792, 792, 793, 793, 793, 793, 793, 794, 794, 794, 794, 794, 795, 795, 795, 796, 796, 796, 796, 797, 797, 797, 797, 797, 798, 798, 798, 798, 799, 799, 799, 799, 800, 800, 800, 800, 800, 800, 801, 801, 801, 802, 802, 802, 803, 803, 803, 804, 804, 804, 804, 805, 805, 805, 805, 806, 806, 806, 806, 806, 807, 807, 807, 807, 808, 808, 808, 809, 809, 809, 810, 810, 810, 810, 811, 811, 811, 811, 812, 812, 812, 813, 813, 813, 814, 814, 814, 814, 814, 815, 815, 815, 815, 816, 816, 816, 817, 817, 817, 818, 818, 818, 818, 819, 819, 819, 819, 820, 820, 820, 820, 820, 820, 821, 821, 821, 821, 821, 822, 822, 822, 822, 822, 823, 823, 823, 823, 823, 823, 824, 824, 824, 825, 825, 825, 825, 826, 826, 826, 826, 827, 827, 827, 828, 828, 828, 828, 829, 829, 829, 829, 830, 830, 830, 831, 831, 831, 832, 832, 832, 832, 833, 833, 833, 833, 834, 834, 834, 834, 835, 835, 835, 835, 836, 836, 836, 836, 836, 837, 837, 837, 837, 838, 838, 838, 838, 838, 839, 839, 839, 839, 839, 840, 840, 840, 841, 841, 841, 841, 842, 842, 842, 843, 843, 843, 844, 844, 844, 845, 845, 845, 845, 846, 846, 846, 847, 847, 847, 847, 848, 848, 848, 849, 849, 849, 850, 850, 850, 850, 850, 850, 851, 851, 851, 851, 851, 852, 852, 852, 852, 853, 853, 853, 853, 854, 854, 854, 854, 855, 855, 855, 855, 855, 856, 856, 856, 856, 857, 857, 857, 857, 857, 858, 858, 858, 859, 859, 859, 859, 860, 860, 860, 860, 861, 861, 861, 861, 861, 862, 862, 862, 862, 863, 863, 863, 863, 863, 863, 864, 864, 864, 864, 864, 865, 865, 865, 865, 865, 866, 866, 866, 866, 867, 867, 867, 867, 867, 868, 868, 868, 869, 869, 869, 869, 870, 870, 870, 870, 871, 871, 871, 872, 872, 872, 872, 873, 873, 873, 874, 874, 874, 874, 874, 875, 875, 875, 875, 876, 876, 876, 876, 877, 877, 877, 877, 878, 878, 878, 878, 878, 879, 879, 879, 880, 880, 880, 880, 880, 881, 881, 881, 881, 881, 881, 882, 882, 882, 882, 883, 883, 883, 883, 883, 884, 884, 884, 884, 885, 885, 885, 885, 885, 885, 886, 886, 886, 886, 886, 887, 887, 887, 887, 887, 888, 888, 888, 888, 889, 889, 889, 889, 890, 890, 890, 891, 891, 891, 891, 892, 892, 892, 892, 892, 893, 893, 893, 893, 893, 893, 894, 894, 894, 894, 894, 895, 895, 895, 895, 895, 895, 896, 896, 896, 896, 897, 897, 897, 898, 898, 898, 898, 899, 899, 899, 899, 900, 900, 900, 901, 901, 901, 901, 901, 902, 902, 902, 902, 902, 903, 903, 903, 903, 904, 904, 904, 904, 905, 905, 905, 906, 906, 906, 906, 906, 907, 907, 907, 907, 908, 908, 908, 908, 909, 909, 909, 910, 910, 910, 910, 911, 911, 911, 912, 912, 912, 912, 913, 913, 913, 913, 913, 914, 914, 914, 914, 915, 915, 915, 915, 916, 916, 916, 916, 916, 917, 917, 917, 917, 918, 918, 918, 918, 919, 919, 919, 919, 919, 920, 920, 920, 920, 921, 921, 921, 921, 921, 922, 922, 922, 923, 923, 923, 924, 924, 924, 925, 925, 925, 925, 925, 925, 926, 926, 926, 926, 926, 927, 927, 927, 927, 928, 928, 928, 928, 928, 929, 929, 929, 929, 930, 930, 930, 930, 930, 930, 931, 931, 931, 931, 932, 932, 932, 932, 933, 933, 933, 934, 934, 934, 934, 935, 935, 935, 936, 936, 936, 936, 937, 937, 937, 937, 938, 938, 938, 938, 939, 939, 939, 940, 940, 940, 941, 941, 941, 942, 942, 942, 942, 942, 943, 943, 943, 943, 944, 944, 944, 944, 945, 945, 945, 945, 946, 946, 946, 946, 946, 946, 947, 947, 947, 948, 948, 948, 948, 948, 949, 949, 949, 950, 950, 950, 950, 950, 951, 951, 951, 951, 952, 952, 952, 952, 953, 953, 953, 953, 953, 953, 954, 954, 954, 955, 955, 955, 955, 955, 956, 956, 956, 956, 957, 957, 957, 958, 958, 958, 959, 959, 959, 959, 960, 960, 960, 960, 961, 961, 961, 962, 962, 962, 962, 963, 963, 963, 963, 963, 963, 964, 964, 964, 964, 965, 965, 965, 966, 966, 966, 967, 967, 967, 967, 967, 968, 968, 968, 969, 969, 969, 969, 969, 970, 970, 970, 970, 970, 971, 971, 971, 971, 971, 972, 972, 972, 972, 973, 973, 973, 974, 974, 974, 974, 975, 975, 975, 975, 976, 976, 976, 976, 977, 977, 977, 978, 978, 978, 978, 978, 979, 979, 979, 979, 980, 980, 980, 980, 980, 981, 981, 981, 982, 982, 982, 982, 982, 983, 983, 983, 983, 983, 984, 984, 984, 985, 985, 985, 985, 985, 986, 986, 986, 986, 986, 986, 987, 987, 987, 987, 987, 988, 988, 988, 988, 989, 989, 989, 989, 989, 990, 990, 990, 990, 990, 991, 991, 991, 991, 991, 992, 992, 992, 992, 992, 992, 993, 993, 993, 993, 994, 994, 994, 994, 994, 994, 995, 995, 995, 995, 995, 996, 996, 996, 996, 996, 997, 997, 997, 997, 998, 998, 998, 998, 999, 999, 999, 999, 1000, 1000, 1000, 1000, 1000, 1000, 1001, 1001, 1001, 1001, 1002, 1002, 1002, 1002, 1002, 1002, 1003, 1003, 1003, 1003, 1004, 1004, 1004, 1004, 1004, 1005, 1005, 1005, 1005, 1005, 1006, 1006, 1006, 1006, 1006, 1007, 1007, 1007, 1007, 1008, 1008, 1008, 1008, 1009, 1009, 1009, 1009, 1010, 1010, 1010, 1010, 1011, 1011, 1011, 1012, 1012, 1012, 1012, 1012, 1012, 1013, 1013, 1013, 1013, 1014, 1014, 1014, 1015, 1015, 1015, 1015, 1016, 1016, 1016, 1017, 1017, 1017, 1018, 1018, 1018, 1018, 1019, 1019, 1019, 1019, 1020, 1020, 1020, 1021, 1021, 1021, 1021, 1022, 1022, 1022, 1022, 1022, 1023, 1023, 1023, 1024, 1024, 1024, 1025, 1025, 1026, 1026, 1032, 1035] Preparing data for: 2019-12-11:12 Levels: [1, 1, 1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 32, 32, 33, 33, 33, 33, 33, 33, 33, 34, 34, 34, 34, 34, 34, 34, 35, 35, 35, 35, 35, 35, 35, 36, 36, 36, 36, 36, 36, 36, 37, 37, 37, 37, 37, 37, 37, 38, 38, 38, 38, 38, 38, 38, 39, 39, 39, 39, 39, 39, 39, 40, 40, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, 42, 42, 43, 43, 43, 43, 43, 43, 43, 44, 44, 44, 44, 44, 44, 44, 45, 45, 45, 45, 45, 45, 45, 46, 46, 46, 46, 46, 46, 46, 47, 47, 47, 47, 47, 47, 47, 48, 48, 48, 48, 48, 48, 48, 49, 49, 49, 49, 49, 49, 49, 50, 50, 50, 50, 50, 50, 50, 51, 51, 51, 51, 51, 51, 51, 52, 52, 52, 52, 52, 52, 52, 53, 53, 53, 53, 53, 53, 53, 54, 54, 54, 54, 54, 54, 54, 55, 55, 55, 55, 55, 55, 55, 56, 56, 56, 56, 56, 56, 56, 57, 57, 57, 57, 57, 57, 57, 58, 58, 58, 58, 58, 58, 58, 59, 59, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 62, 62, 63, 63, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 64, 64, 65, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 74, 74, 75, 75, 75, 75, 75, 75, 75, 76, 76, 76, 76, 76, 76, 76, 77, 77, 77, 77, 77, 77, 78, 78, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 79, 79, 80, 80, 80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 83, 83, 84, 84, 84, 84, 84, 84, 84, 85, 85, 85, 85, 85, 85, 85, 86, 86, 86, 86, 86, 86, 87, 87, 87, 87, 87, 87, 87, 88, 88, 88, 88, 88, 88, 88, 89, 89, 89, 89, 89, 89, 89, 90, 90, 90, 90, 90, 90, 90, 91, 91, 91, 91, 91, 91, 91, 92, 92, 92, 92, 92, 92, 92, 93, 93, 93, 93, 93, 93, 93, 94, 94, 94, 94, 94, 94, 94, 95, 95, 95, 95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 96, 97, 97, 97, 97, 97, 97, 97, 98, 98, 98, 98, 98, 98, 99, 99, 99, 99, 99, 100, 100, 100, 100, 100, 100, 100, 101, 101, 101, 101, 101, 101, 102, 102, 102, 102, 102, 102, 102, 103, 103, 103, 103, 103, 103, 103, 104, 104, 104, 104, 104, 104, 105, 105, 105, 105, 105, 106, 106, 106, 106, 106, 106, 106, 107, 107, 107, 107, 107, 107, 107, 108, 108, 108, 108, 108, 108, 108, 109, 109, 109, 109, 109, 109, 109, 110, 110, 110, 110, 110, 110, 111, 111, 111, 111, 111, 111, 112, 112, 112, 112, 112, 112, 112, 113, 113, 113, 113, 113, 113, 113, 114, 114, 114, 114, 114, 114, 115, 115, 115, 115, 115, 115, 115, 116, 116, 116, 116, 116, 116, 116, 117, 117, 117, 117, 117, 117, 117, 118, 118, 118, 118, 118, 118, 119, 119, 119, 119, 119, 119, 119, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 122, 122, 122, 122, 122, 122, 122, 123, 123, 123, 123, 123, 123, 123, 124, 124, 124, 124, 124, 124, 125, 125, 125, 125, 125, 125, 126, 126, 126, 126, 126, 126, 126, 127, 127, 127, 127, 127, 127, 127, 128, 128, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 131, 131, 132, 132, 132, 132, 132, 132, 132, 133, 133, 133, 133, 133, 133, 133, 134, 134, 134, 134, 134, 134, 134, 135, 135, 135, 135, 135, 135, 135, 136, 136, 136, 136, 136, 136, 136, 137, 137, 137, 137, 137, 137, 138, 138, 138, 138, 138, 138, 138, 139, 139, 139, 139, 139, 139, 139, 140, 140, 140, 140, 140, 140, 140, 141, 141, 141, 141, 141, 141, 141, 142, 142, 142, 142, 142, 142, 143, 143, 143, 143, 143, 143, 144, 144, 144, 144, 144, 144, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 147, 147, 147, 147, 147, 147, 148, 148, 148, 148, 148, 148, 148, 149, 149, 149, 149, 149, 150, 150, 150, 150, 150, 150, 150, 151, 151, 151, 151, 151, 152, 152, 152, 152, 152, 152, 153, 153, 153, 153, 153, 153, 153, 154, 154, 154, 154, 154, 154, 154, 155, 155, 155, 155, 155, 155, 155, 156, 156, 156, 156, 156, 156, 156, 157, 157, 157, 157, 157, 158, 158, 158, 158, 158, 158, 158, 159, 159, 159, 159, 159, 159, 160, 160, 160, 160, 160, 160, 161, 161, 161, 161, 161, 161, 161, 162, 162, 162, 162, 162, 162, 163, 163, 163, 163, 163, 163, 164, 164, 164, 164, 164, 164, 165, 165, 165, 165, 165, 165, 165, 166, 166, 166, 166, 166, 166, 166, 167, 167, 167, 167, 167, 167, 168, 168, 168, 168, 168, 169, 169, 169, 169, 169, 169, 170, 170, 170, 170, 170, 170, 171, 171, 171, 171, 171, 171, 171, 172, 172, 172, 172, 172, 172, 172, 173, 173, 173, 173, 173, 173, 173, 174, 174, 174, 174, 174, 174, 174, 175, 175, 175, 175, 175, 175, 176, 176, 176, 176, 176, 176, 176, 177, 177, 177, 177, 177, 177, 178, 178, 178, 178, 178, 178, 178, 179, 179, 179, 179, 179, 179, 179, 180, 180, 180, 180, 180, 180, 180, 181, 181, 181, 181, 181, 181, 181, 182, 182, 182, 182, 182, 182, 183, 183, 183, 183, 183, 184, 184, 184, 184, 184, 184, 185, 185, 185, 185, 185, 185, 186, 186, 186, 186, 186, 187, 187, 187, 187, 187, 187, 187, 188, 188, 188, 188, 188, 188, 189, 189, 189, 189, 189, 189, 189, 190, 190, 190, 190, 190, 190, 190, 191, 191, 191, 191, 191, 191, 191, 192, 192, 192, 192, 192, 192, 192, 193, 193, 193, 193, 193, 193, 193, 194, 194, 194, 194, 194, 194, 195, 195, 195, 195, 195, 196, 196, 196, 196, 196, 196, 196, 197, 197, 197, 197, 197, 198, 198, 198, 198, 198, 198, 199, 199, 199, 199, 199, 199, 199, 200, 200, 200, 200, 200, 200, 200, 201, 201, 201, 201, 201, 201, 202, 202, 202, 202, 202, 203, 203, 203, 203, 203, 204, 204, 204, 204, 204, 204, 205, 205, 205, 205, 205, 206, 206, 206, 206, 206, 206, 206, 207, 207, 207, 207, 207, 207, 207, 208, 208, 208, 208, 208, 209, 209, 209, 209, 209, 209, 210, 210, 210, 210, 210, 211, 211, 211, 211, 211, 211, 212, 212, 212, 212, 212, 212, 213, 213, 213, 213, 213, 214, 214, 214, 214, 214, 214, 215, 215, 215, 215, 215, 215, 215, 216, 216, 216, 216, 216, 216, 217, 217, 217, 217, 217, 217, 218, 218, 218, 218, 218, 219, 219, 219, 219, 219, 220, 220, 220, 220, 220, 220, 221, 221, 221, 221, 221, 222, 222, 222, 222, 222, 222, 223, 223, 223, 223, 223, 223, 224, 224, 224, 224, 224, 224, 225, 225, 225, 225, 225, 225, 225, 226, 226, 226, 226, 226, 226, 226, 227, 227, 227, 227, 227, 227, 228, 228, 228, 228, 228, 228, 228, 229, 229, 229, 229, 229, 229, 229, 230, 230, 230, 230, 230, 231, 231, 231, 231, 231, 231, 232, 232, 232, 232, 233, 233, 233, 233, 233, 233, 233, 234, 234, 234, 234, 234, 234, 234, 235, 235, 235, 235, 235, 236, 236, 236, 236, 236, 236, 237, 237, 237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 238, 239, 239, 239, 239, 239, 240, 240, 240, 240, 240, 240, 240, 241, 241, 241, 241, 241, 241, 242, 242, 242, 242, 242, 242, 243, 243, 243, 243, 244, 244, 244, 244, 244, 244, 245, 245, 245, 245, 245, 245, 246, 246, 246, 246, 246, 247, 247, 247, 247, 247, 248, 248, 248, 248, 248, 249, 249, 249, 249, 249, 249, 249, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 256, 256, 256, 256, 256, 256, 257, 257, 257, 257, 257, 257, 258, 258, 258, 258, 258, 259, 259, 259, 259, 260, 260, 260, 260, 261, 261, 261, 261, 261, 262, 262, 262, 262, 262, 262, 263, 263, 263, 263, 263, 263, 264, 264, 264, 264, 264, 264, 265, 265, 265, 265, 266, 266, 266, 266, 266, 266, 267, 267, 267, 267, 267, 267, 268, 268, 268, 268, 268, 268, 269, 269, 269, 269, 269, 270, 270, 270, 270, 270, 271, 271, 271, 271, 271, 272, 272, 272, 272, 272, 272, 273, 273, 273, 273, 273, 273, 274, 274, 274, 274, 274, 275, 275, 275, 275, 275, 275, 276, 276, 276, 276, 276, 276, 277, 277, 277, 277, 277, 278, 278, 278, 278, 278, 279, 279, 279, 279, 279, 279, 280, 280, 280, 280, 280, 281, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282, 282, 283, 283, 283, 283, 283, 283, 284, 284, 284, 284, 284, 284, 284, 285, 285, 285, 285, 286, 286, 286, 286, 286, 287, 287, 287, 287, 287, 288, 288, 288, 288, 288, 288, 289, 289, 289, 289, 289, 289, 290, 290, 290, 290, 291, 291, 291, 291, 291, 292, 292, 292, 292, 292, 292, 293, 293, 293, 293, 294, 294, 294, 294, 294, 294, 295, 295, 295, 295, 295, 296, 296, 296, 296, 297, 297, 297, 297, 297, 298, 298, 298, 298, 298, 299, 299, 299, 299, 300, 300, 300, 300, 300, 300, 300, 301, 301, 301, 301, 301, 302, 302, 302, 302, 302, 302, 303, 303, 303, 303, 303, 303, 304, 304, 304, 304, 304, 304, 305, 305, 305, 305, 305, 306, 306, 306, 306, 306, 307, 307, 307, 307, 307, 307, 308, 308, 308, 308, 308, 309, 309, 309, 309, 309, 309, 310, 310, 310, 310, 310, 311, 311, 311, 311, 311, 311, 312, 312, 312, 312, 312, 313, 313, 313, 313, 313, 314, 314, 314, 314, 314, 315, 315, 315, 315, 315, 316, 316, 316, 316, 317, 317, 317, 317, 317, 318, 318, 318, 318, 319, 319, 319, 319, 319, 319, 320, 320, 320, 320, 320, 321, 321, 321, 321, 321, 322, 322, 322, 322, 322, 323, 323, 323, 323, 324, 324, 324, 324, 324, 324, 325, 325, 325, 325, 326, 326, 326, 326, 327, 327, 327, 327, 327, 328, 328, 328, 328, 329, 329, 329, 329, 329, 329, 330, 330, 330, 330, 330, 330, 331, 331, 331, 331, 331, 331, 332, 332, 332, 332, 332, 332, 333, 333, 333, 333, 333, 334, 334, 334, 334, 334, 334, 335, 335, 335, 335, 336, 336, 336, 336, 336, 336, 337, 337, 337, 337, 337, 338, 338, 338, 338, 338, 338, 339, 339, 339, 339, 339, 340, 340, 340, 340, 340, 340, 341, 341, 341, 341, 341, 342, 342, 342, 342, 343, 343, 343, 343, 343, 343, 344, 344, 344, 344, 344, 345, 345, 345, 345, 345, 346, 346, 346, 346, 346, 347, 347, 347, 347, 348, 348, 348, 348, 348, 348, 349, 349, 349, 349, 349, 350, 350, 350, 350, 351, 351, 351, 351, 351, 352, 352, 352, 352, 353, 353, 353, 353, 354, 354, 354, 354, 354, 354, 355, 355, 355, 355, 355, 356, 356, 356, 356, 357, 357, 357, 357, 357, 358, 358, 358, 358, 358, 359, 359, 359, 359, 359, 359, 360, 360, 360, 360, 360, 361, 361, 361, 361, 361, 361, 361, 362, 362, 362, 362, 363, 363, 363, 363, 363, 364, 364, 364, 364, 365, 365, 365, 365, 365, 365, 366, 366, 366, 366, 367, 367, 367, 367, 367, 368, 368, 368, 368, 368, 368, 369, 369, 369, 369, 370, 370, 370, 370, 370, 371, 371, 371, 371, 371, 371, 372, 372, 372, 372, 372, 372, 373, 373, 373, 373, 374, 374, 374, 374, 374, 374, 375, 375, 375, 375, 375, 376, 376, 376, 376, 376, 376, 376, 377, 377, 377, 377, 377, 377, 378, 378, 378, 378, 378, 378, 379, 379, 379, 379, 379, 380, 380, 380, 380, 380, 380, 381, 381, 381, 381, 381, 382, 382, 382, 382, 382, 382, 383, 383, 383, 383, 383, 384, 384, 384, 384, 384, 384, 385, 385, 385, 385, 386, 386, 386, 386, 387, 387, 387, 387, 387, 387, 387, 388, 388, 388, 388, 388, 389, 389, 389, 389, 389, 390, 390, 390, 390, 390, 391, 391, 391, 391, 391, 392, 392, 392, 392, 393, 393, 393, 393, 393, 393, 394, 394, 394, 394, 394, 395, 395, 395, 395, 396, 396, 396, 396, 397, 397, 397, 397, 398, 398, 398, 398, 398, 399, 399, 399, 399, 399, 400, 400, 400, 400, 400, 400, 400, 401, 401, 401, 401, 401, 402, 402, 402, 402, 402, 403, 403, 403, 403, 403, 404, 404, 404, 404, 404, 404, 405, 405, 405, 405, 405, 406, 406, 406, 406, 406, 406, 407, 407, 407, 407, 407, 408, 408, 408, 408, 409, 409, 409, 409, 410, 410, 410, 410, 410, 410, 411, 411, 411, 411, 411, 411, 412, 412, 412, 412, 412, 413, 413, 413, 413, 413, 414, 414, 414, 414, 414, 415, 415, 415, 415, 415, 415, 416, 416, 416, 416, 417, 417, 417, 417, 418, 418, 418, 418, 419, 419, 419, 419, 420, 420, 420, 420, 421, 421, 421, 421, 422, 422, 422, 422, 422, 422, 423, 423, 423, 423, 423, 423, 424, 424, 424, 424, 424, 425, 425, 425, 425, 425, 426, 426, 426, 426, 427, 427, 427, 427, 427, 427, 428, 428, 428, 428, 428, 428, 429, 429, 429, 429, 430, 430, 430, 430, 431, 431, 431, 431, 431, 432, 432, 432, 432, 432, 433, 433, 433, 433, 433, 434, 434, 434, 434, 434, 434, 435, 435, 435, 435, 436, 436, 436, 436, 437, 437, 437, 437, 437, 437, 438, 438, 438, 438, 439, 439, 439, 439, 439, 440, 440, 440, 440, 441, 441, 441, 441, 441, 441, 442, 442, 442, 442, 442, 443, 443, 443, 443, 443, 444, 444, 444, 444, 444, 445, 445, 445, 445, 446, 446, 446, 446, 447, 447, 447, 447, 447, 447, 448, 448, 448, 448, 449, 449, 449, 449, 450, 450, 450, 450, 450, 450, 451, 451, 451, 451, 452, 452, 452, 452, 452, 453, 453, 453, 453, 454, 454, 454, 454, 454, 455, 455, 455, 455, 455, 455, 455, 456, 456, 456, 456, 456, 457, 457, 457, 457, 457, 458, 458, 458, 458, 458, 459, 459, 459, 459, 460, 460, 460, 460, 460, 461, 461, 461, 461, 461, 461, 462, 462, 462, 462, 462, 462, 462, 463, 463, 463, 463, 463, 464, 464, 464, 464, 464, 464, 465, 465, 465, 465, 465, 465, 466, 466, 466, 466, 466, 467, 467, 467, 467, 467, 468, 468, 468, 468, 468, 469, 469, 469, 469, 470, 470, 470, 470, 471, 471, 471, 471, 472, 472, 472, 472, 472, 473, 473, 473, 473, 474, 474, 474, 474, 475, 475, 475, 475, 475, 476, 476, 476, 476, 476, 477, 477, 477, 477, 477, 478, 478, 478, 478, 478, 479, 479, 479, 479, 479, 479, 480, 480, 480, 480, 480, 481, 481, 481, 481, 481, 482, 482, 482, 482, 482, 483, 483, 483, 483, 483, 483, 484, 484, 484, 484, 485, 485, 485, 485, 485, 486, 486, 486, 486, 486, 487, 487, 487, 487, 487, 488, 488, 488, 488, 489, 489, 489, 489, 489, 489, 490, 490, 490, 490, 490, 491, 491, 491, 491, 491, 492, 492, 492, 492, 492, 493, 493, 493, 493, 493, 494, 494, 494, 494, 495, 495, 495, 495, 495, 496, 496, 496, 496, 496, 497, 497, 497, 497, 497, 498, 498, 498, 498, 498, 499, 499, 499, 499, 499, 500, 500, 500, 500, 500, 500, 500, 501, 501, 501, 501, 501, 502, 502, 502, 502, 502, 503, 503, 503, 503, 503, 504, 504, 504, 504, 504, 505, 505, 505, 505, 506, 506, 506, 506, 506, 507, 507, 507, 507, 508, 508, 508, 508, 509, 509, 509, 509, 509, 509, 510, 510, 510, 510, 510, 511, 511, 511, 511, 511, 512, 512, 512, 512, 513, 513, 513, 513, 513, 514, 514, 514, 514, 515, 515, 515, 515, 515, 516, 516, 516, 516, 517, 517, 517, 517, 517, 518, 518, 518, 518, 519, 519, 519, 519, 519, 520, 520, 520, 520, 520, 521, 521, 521, 521, 521, 521, 522, 522, 522, 522, 522, 522, 523, 523, 523, 523, 523, 524, 524, 524, 524, 524, 525, 525, 525, 525, 526, 526, 526, 526, 526, 527, 527, 527, 527, 527, 528, 528, 528, 528, 528, 529, 529, 529, 529, 529, 529, 530, 530, 530, 530, 530, 530, 531, 531, 531, 531, 532, 532, 532, 532, 532, 533, 533, 533, 533, 534, 534, 534, 534, 534, 535, 535, 535, 535, 536, 536, 536, 536, 536, 537, 537, 537, 537, 537, 538, 538, 538, 538, 538, 538, 539, 539, 539, 539, 539, 540, 540, 540, 540, 541, 541, 541, 541, 541, 542, 542, 542, 542, 542, 542, 543, 543, 543, 543, 543, 543, 544, 544, 544, 544, 544, 544, 544, 545, 545, 545, 545, 545, 546, 546, 546, 546, 546, 547, 547, 547, 547, 548, 548, 548, 548, 549, 549, 549, 549, 549, 550, 550, 550, 550, 550, 551, 551, 551, 551, 551, 551, 551, 552, 552, 552, 552, 553, 553, 553, 553, 553, 554, 554, 554, 554, 554, 555, 555, 555, 555, 556, 556, 556, 556, 556, 557, 557, 557, 557, 558, 558, 558, 558, 558, 559, 559, 559, 559, 560, 560, 560, 560, 560, 561, 561, 561, 561, 561, 561, 562, 562, 562, 562, 562, 563, 563, 563, 563, 563, 563, 564, 564, 564, 564, 564, 565, 565, 565, 565, 565, 566, 566, 566, 566, 566, 566, 567, 567, 567, 567, 568, 568, 568, 568, 569, 569, 569, 569, 569, 570, 570, 570, 570, 571, 571, 571, 571, 571, 572, 572, 572, 572, 572, 573, 573, 573, 573, 574, 574, 574, 574, 574, 575, 575, 575, 575, 575, 575, 576, 576, 576, 576, 577, 577, 577, 577, 578, 578, 578, 578, 578, 578, 579, 579, 579, 579, 580, 580, 580, 580, 580, 581, 581, 581, 581, 581, 582, 582, 582, 582, 582, 583, 583, 583, 583, 583, 583, 584, 584, 584, 584, 584, 584, 585, 585, 585, 585, 586, 586, 586, 586, 586, 586, 587, 587, 587, 587, 587, 588, 588, 588, 588, 589, 589, 589, 589, 590, 590, 590, 590, 591, 591, 591, 591, 591, 591, 591, 592, 592, 592, 592, 593, 593, 593, 593, 593, 594, 594, 594, 594, 594, 595, 595, 595, 595, 596, 596, 596, 596, 596, 597, 597, 597, 597, 597, 598, 598, 598, 598, 598, 598, 599, 599, 599, 599, 600, 600, 600, 600, 600, 600, 600, 601, 601, 601, 601, 602, 602, 602, 602, 602, 602, 603, 603, 603, 603, 603, 604, 604, 604, 604, 604, 605, 605, 605, 605, 606, 606, 606, 606, 606, 607, 607, 607, 607, 607, 607, 608, 608, 608, 608, 608, 609, 609, 609, 609, 609, 609, 610, 610, 610, 610, 610, 610, 611, 611, 611, 611, 612, 612, 612, 612, 613, 613, 613, 613, 613, 614, 614, 614, 614, 615, 615, 615, 615, 615, 616, 616, 616, 616, 616, 617, 617, 617, 617, 617, 618, 618, 618, 618, 618, 618, 618, 619, 619, 619, 619, 619, 620, 620, 620, 620, 620, 621, 621, 621, 621, 621, 622, 622, 622, 622, 623, 623, 623, 623, 624, 624, 624, 624, 625, 625, 625, 625, 626, 626, 626, 626, 626, 626, 627, 627, 627, 627, 628, 628, 628, 628, 629, 629, 629, 629, 629, 630, 630, 630, 630, 630, 630, 631, 631, 631, 631, 631, 631, 632, 632, 632, 632, 632, 632, 632, 633, 633, 633, 633, 633, 634, 634, 634, 634, 634, 634, 635, 635, 635, 635, 636, 636, 636, 636, 637, 637, 637, 637, 638, 638, 638, 638, 639, 639, 639, 639, 639, 640, 640, 640, 640, 640, 640, 641, 641, 641, 641, 642, 642, 642, 642, 642, 643, 643, 643, 643, 643, 644, 644, 644, 644, 645, 645, 645, 645, 645, 646, 646, 646, 646, 646, 647, 647, 647, 647, 647, 648, 648, 648, 648, 648, 649, 649, 649, 649, 650, 650, 650, 650, 651, 651, 651, 651, 651, 652, 652, 652, 652, 653, 653, 653, 653, 654, 654, 654, 654, 654, 654, 655, 655, 655, 655, 655, 656, 656, 656, 656, 656, 656, 657, 657, 657, 657, 657, 657, 658, 658, 658, 658, 659, 659, 659, 659, 659, 659, 660, 660, 660, 660, 661, 661, 661, 661, 661, 661, 662, 662, 662, 662, 662, 663, 663, 663, 663, 664, 664, 664, 664, 664, 665, 665, 665, 665, 665, 666, 666, 666, 666, 666, 667, 667, 667, 667, 667, 668, 668, 668, 668, 669, 669, 669, 669, 669, 670, 670, 670, 670, 671, 671, 671, 671, 671, 672, 672, 672, 672, 672, 673, 673, 673, 673, 673, 674, 674, 674, 674, 674, 674, 674, 675, 675, 675, 675, 675, 675, 675, 676, 676, 676, 676, 676, 676, 677, 677, 677, 677, 677, 678, 678, 678, 678, 679, 679, 679, 679, 679, 680, 680, 680, 680, 680, 680, 681, 681, 681, 681, 681, 682, 682, 682, 682, 682, 683, 683, 683, 683, 684, 684, 684, 684, 684, 684, 685, 685, 685, 685, 685, 686, 686, 686, 686, 687, 687, 687, 687, 687, 687, 688, 688, 688, 688, 688, 689, 689, 689, 689, 690, 690, 690, 690, 691, 691, 691, 691, 691, 692, 692, 692, 692, 692, 693, 693, 693, 693, 693, 694, 694, 694, 694, 695, 695, 695, 695, 695, 695, 695, 696, 696, 696, 696, 696, 696, 697, 697, 697, 697, 697, 697, 698, 698, 698, 698, 698, 699, 699, 699, 699, 700, 700, 700, 700, 700, 700, 700, 701, 701, 701, 701, 701, 702, 702, 702, 702, 702, 703, 703, 703, 703, 703, 704, 704, 704, 704, 704, 705, 705, 705, 705, 706, 706, 706, 706, 706, 707, 707, 707, 707, 707, 707, 708, 708, 708, 708, 708, 709, 709, 709, 709, 710, 710, 710, 710, 710, 711, 711, 711, 711, 711, 711, 711, 712, 712, 712, 712, 712, 713, 713, 713, 713, 714, 714, 714, 714, 714, 715, 715, 715, 715, 715, 716, 716, 716, 716, 717, 717, 717, 717, 717, 718, 718, 718, 718, 718, 718, 719, 719, 719, 719, 720, 720, 720, 720, 721, 721, 721, 721, 722, 722, 722, 722, 722, 723, 723, 723, 723, 723, 724, 724, 724, 724, 725, 725, 725, 725, 725, 725, 726, 726, 726, 726, 726, 726, 727, 727, 727, 727, 728, 728, 728, 728, 729, 729, 729, 729, 729, 730, 730, 730, 730, 731, 731, 731, 731, 731, 732, 732, 732, 732, 732, 732, 732, 733, 733, 733, 733, 733, 734, 734, 734, 734, 734, 734, 735, 735, 735, 735, 735, 735, 735, 736, 736, 736, 736, 736, 736, 737, 737, 737, 737, 738, 738, 738, 738, 738, 739, 739, 739, 739, 739, 739, 739, 740, 740, 740, 740, 740, 741, 741, 741, 741, 742, 742, 742, 742, 742, 743, 743, 743, 743, 743, 744, 744, 744, 744, 744, 744, 745, 745, 745, 745, 746, 746, 746, 746, 746, 747, 747, 747, 747, 748, 748, 748, 748, 749, 749, 749, 749, 749, 750, 750, 750, 750, 750, 750, 751, 751, 751, 751, 752, 752, 752, 752, 752, 753, 753, 753, 753, 753, 754, 754, 754, 754, 754, 754, 755, 755, 755, 755, 755, 756, 756, 756, 756, 757, 757, 757, 757, 758, 758, 758, 758, 758, 758, 759, 759, 759, 759, 759, 760, 760, 760, 760, 761, 761, 761, 761, 761, 761, 762, 762, 762, 762, 762, 763, 763, 763, 763, 763, 763, 764, 764, 764, 764, 764, 764, 765, 765, 765, 765, 766, 766, 766, 766, 766, 767, 767, 767, 767, 768, 768, 768, 768, 768, 768, 769, 769, 769, 769, 769, 770, 770, 770, 770, 770, 771, 771, 771, 771, 772, 772, 772, 772, 772, 773, 773, 773, 773, 773, 774, 774, 774, 774, 774, 775, 775, 775, 775, 776, 776, 776, 776, 776, 777, 777, 777, 777, 778, 778, 778, 778, 778, 779, 779, 779, 779, 779, 780, 780, 780, 780, 781, 781, 781, 781, 781, 782, 782, 782, 782, 782, 782, 783, 783, 783, 783, 783, 783, 784, 784, 784, 784, 784, 784, 785, 785, 785, 785, 786, 786, 786, 786, 786, 786, 787, 787, 787, 787, 788, 788, 788, 788, 788, 788, 789, 789, 789, 789, 789, 790, 790, 790, 790, 790, 790, 791, 791, 791, 791, 791, 791, 792, 792, 792, 792, 792, 792, 792, 793, 793, 793, 793, 793, 793, 794, 794, 794, 794, 794, 794, 795, 795, 795, 795, 796, 796, 796, 796, 796, 797, 797, 797, 797, 797, 797, 798, 798, 798, 798, 798, 799, 799, 799, 799, 799, 800, 800, 800, 800, 800, 800, 800, 801, 801, 801, 801, 802, 802, 802, 802, 803, 803, 803, 803, 804, 804, 804, 804, 804, 805, 805, 805, 805, 805, 806, 806, 806, 806, 806, 806, 807, 807, 807, 807, 807, 808, 808, 808, 808, 809, 809, 809, 809, 810, 810, 810, 810, 810, 811, 811, 811, 811, 811, 812, 812, 812, 812, 813, 813, 813, 813, 814, 814, 814, 814, 814, 814, 815, 815, 815, 815, 815, 816, 816, 816, 816, 817, 817, 817, 817, 818, 818, 818, 818, 818, 819, 819, 819, 819, 819, 820, 820, 820, 820, 820, 820, 820, 821, 821, 821, 821, 821, 821, 822, 822, 822, 822, 822, 822, 823, 823, 823, 823, 823, 823, 823, 824, 824, 824, 824, 825, 825, 825, 825, 825, 826, 826, 826, 826, 826, 827, 827, 827, 827, 828, 828, 828, 828, 828, 829, 829, 829, 829, 829, 830, 830, 830, 830, 831, 831, 831, 831, 832, 832, 832, 832, 832, 833, 833, 833, 833, 833, 834, 834, 834, 834, 834, 835, 835, 835, 835, 835, 836, 836, 836, 836, 836, 836, 837, 837, 837, 837, 837, 838, 838, 838, 838, 838, 838, 839, 839, 839, 839, 839, 839, 840, 840, 840, 840, 841, 841, 841, 841, 841, 842, 842, 842, 842, 843, 843, 843, 843, 844, 844, 844, 844, 845, 845, 845, 845, 845, 846, 846, 846, 846, 847, 847, 847, 847, 847, 848, 848, 848, 848, 849, 849, 849, 849, 850, 850, 850, 850, 850, 850, 850, 851, 851, 851, 851, 851, 851, 852, 852, 852, 852, 852, 853, 853, 853, 853, 853, 854, 854, 854, 854, 854, 855, 855, 855, 855, 855, 855, 856, 856, 856, 856, 856, 857, 857, 857, 857, 857, 857, 858, 858, 858, 858, 859, 859, 859, 859, 859, 860, 860, 860, 860, 860, 861, 861, 861, 861, 861, 861, 862, 862, 862, 862, 862, 863, 863, 863, 863, 863, 863, 863, 864, 864, 864, 864, 864, 864, 865, 865, 865, 865, 865, 865, 866, 866, 866, 866, 866, 867, 867, 867, 867, 867, 867, 868, 868, 868, 868, 869, 869, 869, 869, 869, 870, 870, 870, 870, 870, 871, 871, 871, 871, 872, 872, 872, 872, 872, 873, 873, 873, 873, 874, 874, 874, 874, 874, 874, 875, 875, 875, 875, 875, 876, 876, 876, 876, 876, 877, 877, 877, 877, 877, 878, 878, 878, 878, 878, 878, 879, 879, 879, 879, 880, 880, 880, 880, 880, 880, 881, 881, 881, 881, 881, 881, 881, 882, 882, 882, 882, 882, 883, 883, 883, 883, 883, 883, 884, 884, 884, 884, 884, 885, 885, 885, 885, 885, 885, 885, 886, 886, 886, 886, 886, 886, 887, 887, 887, 887, 887, 887, 888, 888, 888, 888, 888, 889, 889, 889, 889, 889, 890, 890, 890, 890, 891, 891, 891, 891, 891, 892, 892, 892, 892, 892, 892, 893, 893, 893, 893, 893, 893, 893, 894, 894, 894, 894, 894, 894, 895, 895, 895, 895, 895, 895, 895, 896, 896, 896, 896, 896, 897, 897, 897, 897, 898, 898, 898, 898, 898, 899, 899, 899, 899, 899, 900, 900, 900, 900, 901, 901, 901, 901, 901, 901, 902, 902, 902, 902, 902, 902, 903, 903, 903, 903, 903, 904, 904, 904, 904, 904, 905, 905, 905, 905, 906, 906, 906, 906, 906, 906, 907, 907, 907, 907, 907, 908, 908, 908, 908, 908, 909, 909, 909, 909, 910, 910, 910, 910, 910, 911, 911, 911, 911, 912, 912, 912, 912, 912, 913, 913, 913, 913, 913, 913, 914, 914, 914, 914, 914, 915, 915, 915, 915, 915, 916, 916, 916, 916, 916, 916, 917, 917, 917, 917, 917, 918, 918, 918, 918, 918, 919, 919, 919, 919, 919, 919, 920, 920, 920, 920, 920, 921, 921, 921, 921, 921, 921, 922, 922, 922, 922, 923, 923, 923, 923, 924, 924, 924, 924, 925, 925, 925, 925, 925, 925, 925, 926, 926, 926, 926, 926, 926, 927, 927, 927, 927, 927, 928, 928, 928, 928, 928, 928, 929, 929, 929, 929, 929, 930, 930, 930, 930, 930, 930, 930, 931, 931, 931, 931, 931, 932, 932, 932, 932, 932, 933, 933, 933, 933, 934, 934, 934, 934, 934, 935, 935, 935, 935, 936, 936, 936, 936, 936, 937, 937, 937, 937, 937, 938, 938, 938, 938, 938, 939, 939, 939, 939, 940, 940, 940, 940, 941, 941, 941, 941, 942, 942, 942, 942, 942, 942, 943, 943, 943, 943, 943, 944, 944, 944, 944, 944, 945, 945, 945, 945, 945, 946, 946, 946, 946, 946, 946, 946, 947, 947, 947, 947, 948, 948, 948, 948, 948, 948, 949, 949, 949, 949, 950, 950, 950, 950, 950, 950, 951, 951, 951, 951, 951, 952, 952, 952, 952, 952, 953, 953, 953, 953, 953, 953, 953, 954, 954, 954, 954, 955, 955, 955, 955, 955, 955, 956, 956, 956, 956, 956, 957, 957, 957, 957, 958, 958, 958, 958, 959, 959, 959, 959, 959, 960, 960, 960, 960, 960, 961, 961, 961, 961, 962, 962, 962, 962, 962, 963, 963, 963, 963, 963, 963, 963, 964, 964, 964, 964, 964, 965, 965, 965, 965, 966, 966, 966, 966, 967, 967, 967, 967, 967, 967, 968, 968, 968, 968, 969, 969, 969, 969, 969, 969, 970, 970, 970, 970, 970, 970, 971, 971, 971, 971, 971, 971, 972, 972, 972, 972, 972, 973, 973, 973, 973, 974, 974, 974, 974, 974, 975, 975, 975, 975, 975, 976, 976, 976, 976, 976, 977, 977, 977, 977, 978, 978, 978, 978, 978, 978, 979, 979, 979, 979, 979, 980, 980, 980, 980, 980, 980, 981, 981, 981, 981, 982, 982, 982, 982, 982, 982, 983, 983, 983, 983, 983, 983, 984, 984, 984, 984, 985, 985, 985, 985, 985, 985, 986, 986, 986, 986, 986, 986, 986, 987, 987, 987, 987, 987, 987, 988, 988, 988, 988, 988, 989, 989, 989, 989, 989, 989, 990, 990, 990, 990, 990, 990, 991, 991, 991, 991, 991, 991, 992, 992, 992, 992, 992, 992, 992, 993, 993, 993, 993, 993, 994, 994, 994, 994, 994, 994, 994, 995, 995, 995, 995, 995, 995, 996, 996, 996, 996, 996, 996, 997, 997, 997, 997, 997, 998, 998, 998, 998, 998, 999, 999, 999, 999, 999, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 1001, 1001, 1001, 1001, 1001, 1002, 1002, 1002, 1002, 1002, 1002, 1002, 1003, 1003, 1003, 1003, 1003, 1004, 1004, 1004, 1004, 1004, 1004, 1005, 1005, 1005, 1005, 1005, 1005, 1006, 1006, 1006, 1006, 1006, 1006, 1007, 1007, 1007, 1007, 1007, 1008, 1008, 1008, 1008, 1008, 1009, 1009, 1009, 1009, 1009, 1010, 1010, 1010, 1010, 1010, 1011, 1011, 1011, 1011, 1012, 1012, 1012, 1012, 1012, 1012, 1012, 1013, 1013, 1013, 1013, 1013, 1014, 1014, 1014, 1014, 1015, 1015, 1015, 1015, 1015, 1016, 1016, 1016, 1016, 1017, 1017, 1017, 1017, 1018, 1018, 1018, 1018, 1018, 1019, 1019, 1019, 1019, 1019, 1020, 1020, 1020, 1020, 1021, 1021, 1021, 1021, 1021, 1022, 1022, 1022, 1022, 1022, 1022, 1023, 1023, 1023, 1023, 1024, 1024, 1024, 1024, 1025, 1025, 1025, 1026, 1026, 1026, 1027, 1029, 1032, 1034, 1035] Preparing data for: 2019-12-11:18 Levels: [1, 1, 1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 32, 32, 32, 33, 33, 33, 33, 33, 33, 33, 33, 34, 34, 34, 34, 34, 34, 34, 34, 35, 35, 35, 35, 35, 35, 35, 35, 36, 36, 36, 36, 36, 36, 36, 37, 37, 37, 37, 37, 37, 37, 37, 38, 38, 38, 38, 38, 38, 38, 38, 39, 39, 39, 39, 39, 39, 39, 39, 40, 40, 40, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, 42, 42, 42, 43, 43, 43, 43, 43, 43, 43, 43, 44, 44, 44, 44, 44, 44, 44, 44, 45, 45, 45, 45, 45, 45, 45, 45, 46, 46, 46, 46, 46, 46, 46, 46, 47, 47, 47, 47, 47, 47, 47, 47, 48, 48, 48, 48, 48, 48, 48, 48, 49, 49, 49, 49, 49, 49, 49, 49, 50, 50, 50, 50, 50, 50, 50, 50, 51, 51, 51, 51, 51, 51, 51, 51, 52, 52, 52, 52, 52, 52, 52, 52, 53, 53, 53, 53, 53, 53, 53, 53, 54, 54, 54, 54, 54, 54, 54, 54, 55, 55, 55, 55, 55, 55, 55, 55, 56, 56, 56, 56, 56, 56, 56, 56, 57, 57, 57, 57, 57, 57, 57, 58, 58, 58, 58, 58, 58, 58, 58, 59, 59, 59, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 62, 62, 62, 63, 63, 63, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 64, 64, 64, 65, 65, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 74, 74, 74, 75, 75, 75, 75, 75, 75, 75, 75, 76, 76, 76, 76, 76, 76, 76, 76, 77, 77, 77, 77, 77, 77, 77, 78, 78, 78, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 79, 79, 79, 80, 80, 80, 80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 83, 83, 83, 84, 84, 84, 84, 84, 84, 84, 84, 85, 85, 85, 85, 85, 85, 85, 85, 86, 86, 86, 86, 86, 86, 86, 87, 87, 87, 87, 87, 87, 87, 87, 88, 88, 88, 88, 88, 88, 88, 88, 89, 89, 89, 89, 89, 89, 89, 89, 90, 90, 90, 90, 90, 90, 90, 90, 91, 91, 91, 91, 91, 91, 91, 91, 92, 92, 92, 92, 92, 92, 92, 92, 93, 93, 93, 93, 93, 93, 93, 93, 94, 94, 94, 94, 94, 94, 94, 94, 95, 95, 95, 95, 95, 95, 95, 95, 96, 96, 96, 96, 96, 96, 96, 96, 97, 97, 97, 97, 97, 97, 97, 97, 98, 98, 98, 98, 98, 98, 98, 99, 99, 99, 99, 99, 100, 100, 100, 100, 100, 100, 100, 100, 101, 101, 101, 101, 101, 101, 102, 102, 102, 102, 102, 102, 102, 102, 103, 103, 103, 103, 103, 103, 103, 103, 104, 104, 104, 104, 104, 104, 105, 105, 105, 105, 105, 105, 106, 106, 106, 106, 106, 106, 106, 106, 107, 107, 107, 107, 107, 107, 107, 107, 108, 108, 108, 108, 108, 108, 108, 108, 109, 109, 109, 109, 109, 109, 109, 110, 110, 110, 110, 110, 110, 110, 111, 111, 111, 111, 111, 111, 111, 112, 112, 112, 112, 112, 112, 112, 112, 113, 113, 113, 113, 113, 113, 113, 113, 114, 114, 114, 114, 114, 114, 114, 115, 115, 115, 115, 115, 115, 115, 116, 116, 116, 116, 116, 116, 116, 116, 117, 117, 117, 117, 117, 117, 117, 117, 118, 118, 118, 118, 118, 118, 118, 119, 119, 119, 119, 119, 119, 119, 119, 120, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 121, 122, 122, 122, 122, 122, 122, 122, 122, 123, 123, 123, 123, 123, 123, 123, 123, 124, 124, 124, 124, 124, 124, 124, 125, 125, 125, 125, 125, 125, 125, 126, 126, 126, 126, 126, 126, 126, 127, 127, 127, 127, 127, 127, 127, 128, 128, 128, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 131, 131, 131, 132, 132, 132, 132, 132, 132, 132, 132, 133, 133, 133, 133, 133, 133, 133, 133, 134, 134, 134, 134, 134, 134, 134, 134, 135, 135, 135, 135, 135, 135, 135, 135, 136, 136, 136, 136, 136, 136, 136, 136, 137, 137, 137, 137, 137, 137, 137, 138, 138, 138, 138, 138, 138, 138, 139, 139, 139, 139, 139, 139, 139, 139, 140, 140, 140, 140, 140, 140, 140, 141, 141, 141, 141, 141, 141, 141, 141, 142, 142, 142, 142, 142, 142, 142, 143, 143, 143, 143, 143, 143, 144, 144, 144, 144, 144, 144, 144, 145, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 147, 147, 147, 147, 147, 147, 147, 148, 148, 148, 148, 148, 148, 148, 148, 149, 149, 149, 149, 149, 150, 150, 150, 150, 150, 150, 150, 150, 151, 151, 151, 151, 151, 151, 152, 152, 152, 152, 152, 152, 152, 153, 153, 153, 153, 153, 153, 153, 153, 154, 154, 154, 154, 154, 154, 154, 154, 155, 155, 155, 155, 155, 155, 155, 155, 156, 156, 156, 156, 156, 156, 156, 156, 157, 157, 157, 157, 157, 158, 158, 158, 158, 158, 158, 158, 159, 159, 159, 159, 159, 159, 159, 160, 160, 160, 160, 160, 160, 160, 161, 161, 161, 161, 161, 161, 161, 162, 162, 162, 162, 162, 162, 162, 163, 163, 163, 163, 163, 163, 163, 164, 164, 164, 164, 164, 164, 164, 165, 165, 165, 165, 165, 165, 165, 165, 166, 166, 166, 166, 166, 166, 166, 166, 167, 167, 167, 167, 167, 167, 167, 168, 168, 168, 168, 168, 168, 169, 169, 169, 169, 169, 169, 169, 170, 170, 170, 170, 170, 170, 170, 171, 171, 171, 171, 171, 171, 171, 172, 172, 172, 172, 172, 172, 172, 172, 173, 173, 173, 173, 173, 173, 173, 174, 174, 174, 174, 174, 174, 174, 174, 175, 175, 175, 175, 175, 175, 176, 176, 176, 176, 176, 176, 176, 176, 177, 177, 177, 177, 177, 177, 177, 178, 178, 178, 178, 178, 178, 178, 178, 179, 179, 179, 179, 179, 179, 179, 179, 180, 180, 180, 180, 180, 180, 180, 180, 181, 181, 181, 181, 181, 181, 181, 181, 182, 182, 182, 182, 182, 182, 182, 183, 183, 183, 183, 183, 183, 184, 184, 184, 184, 184, 184, 184, 185, 185, 185, 185, 185, 185, 185, 186, 186, 186, 186, 186, 186, 187, 187, 187, 187, 187, 187, 187, 187, 188, 188, 188, 188, 188, 188, 188, 189, 189, 189, 189, 189, 189, 189, 190, 190, 190, 190, 190, 190, 190, 190, 191, 191, 191, 191, 191, 191, 191, 191, 192, 192, 192, 192, 192, 192, 192, 192, 193, 193, 193, 193, 193, 193, 193, 194, 194, 194, 194, 194, 194, 194, 195, 195, 195, 195, 195, 195, 196, 196, 196, 196, 196, 196, 196, 196, 197, 197, 197, 197, 197, 197, 198, 198, 198, 198, 198, 198, 199, 199, 199, 199, 199, 199, 199, 200, 200, 200, 200, 200, 200, 200, 200, 201, 201, 201, 201, 201, 201, 201, 202, 202, 202, 202, 202, 202, 203, 203, 203, 203, 203, 204, 204, 204, 204, 204, 204, 205, 205, 205, 205, 205, 205, 206, 206, 206, 206, 206, 206, 206, 207, 207, 207, 207, 207, 207, 207, 208, 208, 208, 208, 208, 209, 209, 209, 209, 209, 209, 209, 210, 210, 210, 210, 210, 210, 211, 211, 211, 211, 211, 211, 212, 212, 212, 212, 212, 212, 212, 213, 213, 213, 213, 213, 214, 214, 214, 214, 214, 214, 214, 215, 215, 215, 215, 215, 215, 215, 215, 216, 216, 216, 216, 216, 216, 217, 217, 217, 217, 217, 217, 218, 218, 218, 218, 218, 219, 219, 219, 219, 219, 220, 220, 220, 220, 220, 220, 220, 221, 221, 221, 221, 221, 221, 222, 222, 222, 222, 222, 222, 223, 223, 223, 223, 223, 223, 223, 224, 224, 224, 224, 224, 224, 224, 225, 225, 225, 225, 225, 225, 225, 225, 226, 226, 226, 226, 226, 226, 226, 226, 227, 227, 227, 227, 227, 227, 228, 228, 228, 228, 228, 228, 228, 228, 229, 229, 229, 229, 229, 229, 229, 230, 230, 230, 230, 230, 230, 231, 231, 231, 231, 231, 231, 231, 232, 232, 232, 232, 233, 233, 233, 233, 233, 233, 233, 234, 234, 234, 234, 234, 234, 234, 234, 235, 235, 235, 235, 235, 235, 236, 236, 236, 236, 236, 236, 237, 237, 237, 237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 238, 238, 239, 239, 239, 239, 239, 240, 240, 240, 240, 240, 240, 240, 241, 241, 241, 241, 241, 241, 241, 242, 242, 242, 242, 242, 242, 242, 243, 243, 243, 243, 244, 244, 244, 244, 244, 244, 245, 245, 245, 245, 245, 245, 246, 246, 246, 246, 246, 246, 247, 247, 247, 247, 247, 248, 248, 248, 248, 248, 248, 249, 249, 249, 249, 249, 249, 249, 249, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 256, 256, 256, 256, 256, 256, 256, 257, 257, 257, 257, 257, 257, 257, 258, 258, 258, 258, 258, 259, 259, 259, 259, 260, 260, 260, 260, 261, 261, 261, 261, 261, 261, 262, 262, 262, 262, 262, 262, 263, 263, 263, 263, 263, 263, 264, 264, 264, 264, 264, 264, 264, 265, 265, 265, 265, 266, 266, 266, 266, 266, 266, 267, 267, 267, 267, 267, 267, 267, 268, 268, 268, 268, 268, 268, 269, 269, 269, 269, 269, 269, 270, 270, 270, 270, 270, 271, 271, 271, 271, 271, 272, 272, 272, 272, 272, 272, 273, 273, 273, 273, 273, 273, 273, 274, 274, 274, 274, 274, 275, 275, 275, 275, 275, 275, 276, 276, 276, 276, 276, 276, 277, 277, 277, 277, 277, 277, 278, 278, 278, 278, 278, 278, 279, 279, 279, 279, 279, 279, 280, 280, 280, 280, 280, 281, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282, 282, 283, 283, 283, 283, 283, 283, 284, 284, 284, 284, 284, 284, 284, 285, 285, 285, 285, 286, 286, 286, 286, 286, 286, 287, 287, 287, 287, 287, 288, 288, 288, 288, 288, 288, 289, 289, 289, 289, 289, 289, 290, 290, 290, 290, 291, 291, 291, 291, 291, 291, 292, 292, 292, 292, 292, 292, 293, 293, 293, 293, 293, 294, 294, 294, 294, 294, 294, 295, 295, 295, 295, 295, 295, 296, 296, 296, 296, 297, 297, 297, 297, 297, 298, 298, 298, 298, 298, 298, 299, 299, 299, 299, 300, 300, 300, 300, 300, 300, 300, 300, 301, 301, 301, 301, 301, 302, 302, 302, 302, 302, 302, 303, 303, 303, 303, 303, 303, 304, 304, 304, 304, 304, 304, 305, 305, 305, 305, 305, 306, 306, 306, 306, 306, 307, 307, 307, 307, 307, 307, 308, 308, 308, 308, 308, 309, 309, 309, 309, 309, 309, 310, 310, 310, 310, 310, 310, 311, 311, 311, 311, 311, 311, 312, 312, 312, 312, 312, 312, 313, 313, 313, 313, 313, 313, 314, 314, 314, 314, 314, 314, 315, 315, 315, 315, 315, 316, 316, 316, 316, 316, 317, 317, 317, 317, 317, 317, 318, 318, 318, 318, 319, 319, 319, 319, 319, 319, 320, 320, 320, 320, 320, 321, 321, 321, 321, 321, 322, 322, 322, 322, 322, 323, 323, 323, 323, 324, 324, 324, 324, 324, 324, 325, 325, 325, 325, 325, 326, 326, 326, 326, 327, 327, 327, 327, 327, 328, 328, 328, 328, 328, 329, 329, 329, 329, 329, 329, 330, 330, 330, 330, 330, 330, 331, 331, 331, 331, 331, 331, 332, 332, 332, 332, 332, 332, 333, 333, 333, 333, 333, 334, 334, 334, 334, 334, 334, 334, 335, 335, 335, 335, 335, 336, 336, 336, 336, 336, 336, 337, 337, 337, 337, 337, 338, 338, 338, 338, 338, 338, 339, 339, 339, 339, 339, 340, 340, 340, 340, 340, 340, 341, 341, 341, 341, 341, 342, 342, 342, 342, 343, 343, 343, 343, 343, 343, 343, 344, 344, 344, 344, 344, 345, 345, 345, 345, 345, 345, 346, 346, 346, 346, 346, 346, 347, 347, 347, 347, 348, 348, 348, 348, 348, 348, 349, 349, 349, 349, 349, 349, 350, 350, 350, 350, 351, 351, 351, 351, 351, 352, 352, 352, 352, 353, 353, 353, 353, 353, 354, 354, 354, 354, 354, 354, 355, 355, 355, 355, 355, 356, 356, 356, 356, 356, 357, 357, 357, 357, 357, 357, 358, 358, 358, 358, 358, 358, 359, 359, 359, 359, 359, 359, 359, 360, 360, 360, 360, 360, 361, 361, 361, 361, 361, 361, 361, 362, 362, 362, 362, 363, 363, 363, 363, 363, 364, 364, 364, 364, 364, 365, 365, 365, 365, 365, 365, 366, 366, 366, 366, 366, 367, 367, 367, 367, 367, 368, 368, 368, 368, 368, 368, 368, 369, 369, 369, 369, 369, 370, 370, 370, 370, 370, 370, 371, 371, 371, 371, 371, 371, 372, 372, 372, 372, 372, 372, 372, 373, 373, 373, 373, 374, 374, 374, 374, 374, 374, 374, 375, 375, 375, 375, 375, 376, 376, 376, 376, 376, 376, 376, 377, 377, 377, 377, 377, 377, 378, 378, 378, 378, 378, 378, 379, 379, 379, 379, 379, 380, 380, 380, 380, 380, 380, 381, 381, 381, 381, 381, 382, 382, 382, 382, 382, 382, 383, 383, 383, 383, 383, 383, 384, 384, 384, 384, 384, 384, 385, 385, 385, 385, 386, 386, 386, 386, 386, 387, 387, 387, 387, 387, 387, 387, 388, 388, 388, 388, 388, 389, 389, 389, 389, 389, 389, 390, 390, 390, 390, 390, 390, 391, 391, 391, 391, 391, 391, 392, 392, 392, 392, 393, 393, 393, 393, 393, 393, 393, 394, 394, 394, 394, 394, 395, 395, 395, 395, 395, 396, 396, 396, 396, 397, 397, 397, 397, 398, 398, 398, 398, 398, 399, 399, 399, 399, 399, 400, 400, 400, 400, 400, 400, 400, 400, 401, 401, 401, 401, 401, 402, 402, 402, 402, 402, 402, 403, 403, 403, 403, 403, 404, 404, 404, 404, 404, 404, 405, 405, 405, 405, 405, 405, 406, 406, 406, 406, 406, 406, 406, 407, 407, 407, 407, 407, 407, 408, 408, 408, 408, 409, 409, 409, 409, 409, 410, 410, 410, 410, 410, 410, 410, 411, 411, 411, 411, 411, 411, 412, 412, 412, 412, 412, 413, 413, 413, 413, 413, 414, 414, 414, 414, 414, 415, 415, 415, 415, 415, 415, 415, 416, 416, 416, 416, 416, 417, 417, 417, 417, 418, 418, 418, 418, 419, 419, 419, 419, 419, 420, 420, 420, 420, 421, 421, 421, 421, 421, 422, 422, 422, 422, 422, 422, 422, 423, 423, 423, 423, 423, 423, 424, 424, 424, 424, 424, 425, 425, 425, 425, 425, 425, 426, 426, 426, 426, 427, 427, 427, 427, 427, 427, 428, 428, 428, 428, 428, 428, 429, 429, 429, 429, 430, 430, 430, 430, 431, 431, 431, 431, 431, 431, 432, 432, 432, 432, 432, 433, 433, 433, 433, 433, 434, 434, 434, 434, 434, 434, 435, 435, 435, 435, 436, 436, 436, 436, 436, 437, 437, 437, 437, 437, 437, 437, 438, 438, 438, 438, 439, 439, 439, 439, 439, 439, 440, 440, 440, 440, 440, 441, 441, 441, 441, 441, 441, 441, 442, 442, 442, 442, 442, 443, 443, 443, 443, 443, 443, 444, 444, 444, 444, 444, 444, 445, 445, 445, 445, 446, 446, 446, 446, 447, 447, 447, 447, 447, 447, 448, 448, 448, 448, 449, 449, 449, 449, 450, 450, 450, 450, 450, 450, 450, 451, 451, 451, 451, 452, 452, 452, 452, 452, 453, 453, 453, 453, 454, 454, 454, 454, 454, 455, 455, 455, 455, 455, 455, 455, 456, 456, 456, 456, 456, 456, 457, 457, 457, 457, 457, 457, 458, 458, 458, 458, 458, 458, 459, 459, 459, 459, 459, 460, 460, 460, 460, 460, 461, 461, 461, 461, 461, 461, 461, 462, 462, 462, 462, 462, 462, 462, 463, 463, 463, 463, 463, 464, 464, 464, 464, 464, 464, 465, 465, 465, 465, 465, 465, 466, 466, 466, 466, 466, 467, 467, 467, 467, 467, 468, 468, 468, 468, 468, 469, 469, 469, 469, 470, 470, 470, 470, 471, 471, 471, 471, 472, 472, 472, 472, 472, 472, 473, 473, 473, 473, 474, 474, 474, 474, 475, 475, 475, 475, 475, 476, 476, 476, 476, 476, 476, 477, 477, 477, 477, 477, 478, 478, 478, 478, 478, 479, 479, 479, 479, 479, 479, 480, 480, 480, 480, 480, 480, 481, 481, 481, 481, 481, 482, 482, 482, 482, 482, 482, 483, 483, 483, 483, 483, 483, 483, 484, 484, 484, 484, 484, 485, 485, 485, 485, 485, 486, 486, 486, 486, 486, 487, 487, 487, 487, 487, 488, 488, 488, 488, 489, 489, 489, 489, 489, 489, 489, 490, 490, 490, 490, 490, 491, 491, 491, 491, 491, 492, 492, 492, 492, 492, 493, 493, 493, 493, 493, 493, 494, 494, 494, 494, 495, 495, 495, 495, 495, 496, 496, 496, 496, 496, 496, 497, 497, 497, 497, 497, 498, 498, 498, 498, 498, 498, 499, 499, 499, 499, 499, 499, 500, 500, 500, 500, 500, 500, 500, 500, 501, 501, 501, 501, 501, 502, 502, 502, 502, 502, 503, 503, 503, 503, 503, 504, 504, 504, 504, 504, 505, 505, 505, 505, 506, 506, 506, 506, 506, 507, 507, 507, 507, 507, 508, 508, 508, 508, 509, 509, 509, 509, 509, 509, 510, 510, 510, 510, 510, 511, 511, 511, 511, 511, 512, 512, 512, 512, 512, 513, 513, 513, 513, 513, 514, 514, 514, 514, 514, 515, 515, 515, 515, 515, 516, 516, 516, 516, 517, 517, 517, 517, 517, 517, 518, 518, 518, 518, 519, 519, 519, 519, 519, 520, 520, 520, 520, 520, 520, 521, 521, 521, 521, 521, 521, 521, 522, 522, 522, 522, 522, 522, 522, 523, 523, 523, 523, 523, 524, 524, 524, 524, 524, 525, 525, 525, 525, 526, 526, 526, 526, 526, 526, 527, 527, 527, 527, 527, 527, 528, 528, 528, 528, 528, 528, 529, 529, 529, 529, 529, 529, 529, 530, 530, 530, 530, 530, 530, 531, 531, 531, 531, 532, 532, 532, 532, 532, 533, 533, 533, 533, 534, 534, 534, 534, 534, 535, 535, 535, 535, 536, 536, 536, 536, 536, 537, 537, 537, 537, 537, 537, 538, 538, 538, 538, 538, 538, 538, 539, 539, 539, 539, 539, 539, 540, 540, 540, 540, 540, 541, 541, 541, 541, 541, 541, 542, 542, 542, 542, 542, 542, 542, 543, 543, 543, 543, 543, 543, 544, 544, 544, 544, 544, 544, 544, 545, 545, 545, 545, 545, 546, 546, 546, 546, 546, 547, 547, 547, 547, 547, 548, 548, 548, 548, 549, 549, 549, 549, 549, 549, 550, 550, 550, 550, 550, 550, 551, 551, 551, 551, 551, 551, 551, 552, 552, 552, 552, 552, 553, 553, 553, 553, 553, 554, 554, 554, 554, 554, 555, 555, 555, 555, 556, 556, 556, 556, 556, 557, 557, 557, 557, 557, 558, 558, 558, 558, 558, 558, 559, 559, 559, 559, 560, 560, 560, 560, 560, 560, 561, 561, 561, 561, 561, 561, 562, 562, 562, 562, 562, 562, 563, 563, 563, 563, 563, 563, 563, 564, 564, 564, 564, 564, 564, 565, 565, 565, 565, 565, 565, 566, 566, 566, 566, 566, 566, 567, 567, 567, 567, 568, 568, 568, 568, 569, 569, 569, 569, 569, 569, 570, 570, 570, 570, 570, 571, 571, 571, 571, 571, 571, 572, 572, 572, 572, 572, 572, 573, 573, 573, 573, 574, 574, 574, 574, 574, 575, 575, 575, 575, 575, 575, 576, 576, 576, 576, 577, 577, 577, 577, 578, 578, 578, 578, 578, 578, 579, 579, 579, 579, 579, 580, 580, 580, 580, 580, 581, 581, 581, 581, 581, 582, 582, 582, 582, 582, 583, 583, 583, 583, 583, 583, 584, 584, 584, 584, 584, 584, 584, 585, 585, 585, 585, 585, 586, 586, 586, 586, 586, 586, 586, 587, 587, 587, 587, 587, 587, 588, 588, 588, 588, 589, 589, 589, 589, 590, 590, 590, 590, 590, 591, 591, 591, 591, 591, 591, 591, 592, 592, 592, 592, 593, 593, 593, 593, 593, 594, 594, 594, 594, 594, 595, 595, 595, 595, 595, 596, 596, 596, 596, 596, 597, 597, 597, 597, 597, 598, 598, 598, 598, 598, 598, 598, 599, 599, 599, 599, 600, 600, 600, 600, 600, 600, 600, 600, 601, 601, 601, 601, 602, 602, 602, 602, 602, 602, 603, 603, 603, 603, 603, 604, 604, 604, 604, 604, 605, 605, 605, 605, 605, 606, 606, 606, 606, 606, 606, 607, 607, 607, 607, 607, 607, 607, 608, 608, 608, 608, 608, 608, 609, 609, 609, 609, 609, 609, 609, 610, 610, 610, 610, 610, 610, 610, 611, 611, 611, 611, 611, 612, 612, 612, 612, 613, 613, 613, 613, 613, 614, 614, 614, 614, 614, 615, 615, 615, 615, 615, 616, 616, 616, 616, 616, 617, 617, 617, 617, 617, 618, 618, 618, 618, 618, 618, 618, 618, 619, 619, 619, 619, 619, 619, 620, 620, 620, 620, 620, 621, 621, 621, 621, 621, 622, 622, 622, 622, 623, 623, 623, 623, 623, 624, 624, 624, 624, 625, 625, 625, 625, 626, 626, 626, 626, 626, 626, 626, 627, 627, 627, 627, 628, 628, 628, 628, 629, 629, 629, 629, 629, 630, 630, 630, 630, 630, 630, 630, 631, 631, 631, 631, 631, 631, 632, 632, 632, 632, 632, 632, 632, 632, 633, 633, 633, 633, 633, 633, 634, 634, 634, 634, 634, 634, 635, 635, 635, 635, 635, 636, 636, 636, 636, 637, 637, 637, 637, 638, 638, 638, 638, 638, 639, 639, 639, 639, 639, 640, 640, 640, 640, 640, 640, 640, 641, 641, 641, 641, 642, 642, 642, 642, 642, 643, 643, 643, 643, 643, 644, 644, 644, 644, 644, 645, 645, 645, 645, 645, 646, 646, 646, 646, 646, 647, 647, 647, 647, 647, 648, 648, 648, 648, 648, 648, 649, 649, 649, 649, 650, 650, 650, 650, 651, 651, 651, 651, 651, 652, 652, 652, 652, 652, 653, 653, 653, 653, 653, 654, 654, 654, 654, 654, 654, 655, 655, 655, 655, 655, 655, 656, 656, 656, 656, 656, 656, 656, 657, 657, 657, 657, 657, 657, 657, 658, 658, 658, 658, 658, 659, 659, 659, 659, 659, 659, 659, 660, 660, 660, 660, 661, 661, 661, 661, 661, 661, 661, 662, 662, 662, 662, 662, 663, 663, 663, 663, 664, 664, 664, 664, 664, 665, 665, 665, 665, 665, 666, 666, 666, 666, 666, 667, 667, 667, 667, 667, 668, 668, 668, 668, 669, 669, 669, 669, 669, 670, 670, 670, 670, 670, 671, 671, 671, 671, 671, 672, 672, 672, 672, 672, 673, 673, 673, 673, 673, 673, 674, 674, 674, 674, 674, 674, 674, 675, 675, 675, 675, 675, 675, 675, 675, 676, 676, 676, 676, 676, 676, 676, 677, 677, 677, 677, 677, 678, 678, 678, 678, 679, 679, 679, 679, 679, 680, 680, 680, 680, 680, 680, 681, 681, 681, 681, 681, 682, 682, 682, 682, 682, 682, 683, 683, 683, 683, 684, 684, 684, 684, 684, 684, 685, 685, 685, 685, 685, 685, 686, 686, 686, 686, 686, 687, 687, 687, 687, 687, 687, 687, 688, 688, 688, 688, 688, 689, 689, 689, 689, 690, 690, 690, 690, 690, 691, 691, 691, 691, 691, 692, 692, 692, 692, 692, 693, 693, 693, 693, 693, 694, 694, 694, 694, 695, 695, 695, 695, 695, 695, 695, 696, 696, 696, 696, 696, 696, 697, 697, 697, 697, 697, 697, 698, 698, 698, 698, 698, 699, 699, 699, 699, 700, 700, 700, 700, 700, 700, 700, 700, 701, 701, 701, 701, 701, 701, 702, 702, 702, 702, 702, 703, 703, 703, 703, 703, 704, 704, 704, 704, 704, 705, 705, 705, 705, 706, 706, 706, 706, 706, 707, 707, 707, 707, 707, 707, 708, 708, 708, 708, 708, 708, 709, 709, 709, 709, 709, 710, 710, 710, 710, 710, 711, 711, 711, 711, 711, 711, 711, 712, 712, 712, 712, 712, 712, 713, 713, 713, 713, 714, 714, 714, 714, 714, 714, 715, 715, 715, 715, 715, 716, 716, 716, 716, 716, 717, 717, 717, 717, 717, 718, 718, 718, 718, 718, 718, 719, 719, 719, 719, 720, 720, 720, 720, 721, 721, 721, 721, 722, 722, 722, 722, 722, 723, 723, 723, 723, 723, 724, 724, 724, 724, 725, 725, 725, 725, 725, 725, 726, 726, 726, 726, 726, 726, 727, 727, 727, 727, 727, 728, 728, 728, 728, 728, 729, 729, 729, 729, 729, 730, 730, 730, 730, 731, 731, 731, 731, 731, 732, 732, 732, 732, 732, 732, 732, 733, 733, 733, 733, 733, 734, 734, 734, 734, 734, 734, 735, 735, 735, 735, 735, 735, 735, 735, 736, 736, 736, 736, 736, 736, 736, 737, 737, 737, 737, 737, 738, 738, 738, 738, 738, 738, 739, 739, 739, 739, 739, 739, 739, 740, 740, 740, 740, 740, 741, 741, 741, 741, 741, 742, 742, 742, 742, 742, 742, 743, 743, 743, 743, 743, 743, 744, 744, 744, 744, 744, 744, 745, 745, 745, 745, 746, 746, 746, 746, 746, 747, 747, 747, 747, 748, 748, 748, 748, 748, 749, 749, 749, 749, 749, 750, 750, 750, 750, 750, 750, 750, 751, 751, 751, 751, 752, 752, 752, 752, 752, 753, 753, 753, 753, 753, 754, 754, 754, 754, 754, 754, 755, 755, 755, 755, 755, 756, 756, 756, 756, 757, 757, 757, 757, 758, 758, 758, 758, 758, 758, 759, 759, 759, 759, 759, 760, 760, 760, 760, 761, 761, 761, 761, 761, 761, 761, 762, 762, 762, 762, 762, 763, 763, 763, 763, 763, 763, 763, 764, 764, 764, 764, 764, 764, 764, 765, 765, 765, 765, 765, 766, 766, 766, 766, 766, 766, 767, 767, 767, 767, 768, 768, 768, 768, 768, 768, 769, 769, 769, 769, 769, 770, 770, 770, 770, 770, 770, 771, 771, 771, 771, 771, 772, 772, 772, 772, 772, 773, 773, 773, 773, 773, 773, 774, 774, 774, 774, 774, 774, 775, 775, 775, 775, 775, 776, 776, 776, 776, 776, 777, 777, 777, 777, 778, 778, 778, 778, 778, 779, 779, 779, 779, 779, 780, 780, 780, 780, 781, 781, 781, 781, 781, 782, 782, 782, 782, 782, 782, 783, 783, 783, 783, 783, 783, 784, 784, 784, 784, 784, 784, 785, 785, 785, 785, 785, 786, 786, 786, 786, 786, 786, 786, 787, 787, 787, 787, 788, 788, 788, 788, 788, 788, 789, 789, 789, 789, 789, 790, 790, 790, 790, 790, 790, 791, 791, 791, 791, 791, 791, 791, 792, 792, 792, 792, 792, 792, 792, 792, 793, 793, 793, 793, 793, 793, 793, 794, 794, 794, 794, 794, 794, 794, 795, 795, 795, 795, 796, 796, 796, 796, 796, 797, 797, 797, 797, 797, 797, 798, 798, 798, 798, 798, 798, 799, 799, 799, 799, 799, 800, 800, 800, 800, 800, 800, 800, 800, 801, 801, 801, 801, 801, 802, 802, 802, 802, 802, 803, 803, 803, 803, 803, 804, 804, 804, 804, 804, 805, 805, 805, 805, 805, 806, 806, 806, 806, 806, 806, 806, 807, 807, 807, 807, 807, 808, 808, 808, 808, 808, 809, 809, 809, 809, 810, 810, 810, 810, 810, 811, 811, 811, 811, 811, 812, 812, 812, 812, 813, 813, 813, 813, 814, 814, 814, 814, 814, 814, 814, 815, 815, 815, 815, 815, 816, 816, 816, 816, 817, 817, 817, 817, 818, 818, 818, 818, 818, 819, 819, 819, 819, 819, 820, 820, 820, 820, 820, 820, 820, 820, 821, 821, 821, 821, 821, 821, 821, 822, 822, 822, 822, 822, 822, 822, 823, 823, 823, 823, 823, 823, 823, 824, 824, 824, 824, 824, 825, 825, 825, 825, 825, 825, 826, 826, 826, 826, 826, 827, 827, 827, 827, 828, 828, 828, 828, 828, 829, 829, 829, 829, 829, 830, 830, 830, 830, 831, 831, 831, 831, 832, 832, 832, 832, 832, 833, 833, 833, 833, 833, 833, 834, 834, 834, 834, 834, 835, 835, 835, 835, 835, 836, 836, 836, 836, 836, 836, 837, 837, 837, 837, 837, 838, 838, 838, 838, 838, 838, 839, 839, 839, 839, 839, 839, 839, 840, 840, 840, 840, 841, 841, 841, 841, 841, 841, 842, 842, 842, 842, 843, 843, 843, 843, 844, 844, 844, 844, 845, 845, 845, 845, 845, 846, 846, 846, 846, 847, 847, 847, 847, 847, 848, 848, 848, 848, 848, 849, 849, 849, 849, 849, 850, 850, 850, 850, 850, 850, 850, 850, 851, 851, 851, 851, 851, 851, 852, 852, 852, 852, 852, 852, 853, 853, 853, 853, 853, 854, 854, 854, 854, 854, 855, 855, 855, 855, 855, 855, 855, 856, 856, 856, 856, 856, 856, 857, 857, 857, 857, 857, 857, 858, 858, 858, 858, 859, 859, 859, 859, 859, 859, 860, 860, 860, 860, 860, 861, 861, 861, 861, 861, 861, 862, 862, 862, 862, 862, 863, 863, 863, 863, 863, 863, 863, 864, 864, 864, 864, 864, 864, 864, 865, 865, 865, 865, 865, 865, 865, 866, 866, 866, 866, 866, 867, 867, 867, 867, 867, 867, 868, 868, 868, 868, 869, 869, 869, 869, 869, 869, 870, 870, 870, 870, 870, 871, 871, 871, 871, 872, 872, 872, 872, 872, 873, 873, 873, 873, 873, 874, 874, 874, 874, 874, 874, 875, 875, 875, 875, 875, 876, 876, 876, 876, 876, 877, 877, 877, 877, 877, 878, 878, 878, 878, 878, 878, 879, 879, 879, 879, 880, 880, 880, 880, 880, 880, 880, 881, 881, 881, 881, 881, 881, 881, 882, 882, 882, 882, 882, 883, 883, 883, 883, 883, 883, 883, 884, 884, 884, 884, 884, 884, 885, 885, 885, 885, 885, 885, 885, 885, 886, 886, 886, 886, 886, 886, 887, 887, 887, 887, 887, 887, 887, 888, 888, 888, 888, 888, 889, 889, 889, 889, 889, 889, 890, 890, 890, 890, 891, 891, 891, 891, 891, 891, 892, 892, 892, 892, 892, 892, 893, 893, 893, 893, 893, 893, 893, 894, 894, 894, 894, 894, 894, 895, 895, 895, 895, 895, 895, 895, 895, 896, 896, 896, 896, 896, 897, 897, 897, 897, 897, 898, 898, 898, 898, 898, 898, 899, 899, 899, 899, 899, 899, 900, 900, 900, 900, 901, 901, 901, 901, 901, 901, 902, 902, 902, 902, 902, 902, 903, 903, 903, 903, 903, 904, 904, 904, 904, 904, 905, 905, 905, 905, 906, 906, 906, 906, 906, 906, 906, 907, 907, 907, 907, 907, 908, 908, 908, 908, 908, 909, 909, 909, 909, 909, 910, 910, 910, 910, 910, 911, 911, 911, 911, 912, 912, 912, 912, 912, 913, 913, 913, 913, 913, 913, 914, 914, 914, 914, 914, 915, 915, 915, 915, 915, 916, 916, 916, 916, 916, 916, 916, 917, 917, 917, 917, 917, 917, 918, 918, 918, 918, 918, 918, 919, 919, 919, 919, 919, 919, 920, 920, 920, 920, 920, 920, 921, 921, 921, 921, 921, 921, 921, 922, 922, 922, 922, 922, 923, 923, 923, 923, 924, 924, 924, 924, 925, 925, 925, 925, 925, 925, 925, 925, 926, 926, 926, 926, 926, 926, 927, 927, 927, 927, 927, 928, 928, 928, 928, 928, 928, 929, 929, 929, 929, 929, 929, 930, 930, 930, 930, 930, 930, 930, 931, 931, 931, 931, 931, 932, 932, 932, 932, 932, 932, 933, 933, 933, 933, 933, 934, 934, 934, 934, 934, 934, 935, 935, 935, 935, 936, 936, 936, 936, 936, 936, 937, 937, 937, 937, 937, 938, 938, 938, 938, 938, 939, 939, 939, 939, 939, 940, 940, 940, 940, 941, 941, 941, 941, 942, 942, 942, 942, 942, 942, 943, 943, 943, 943, 943, 944, 944, 944, 944, 944, 945, 945, 945, 945, 945, 946, 946, 946, 946, 946, 946, 946, 946, 947, 947, 947, 947, 948, 948, 948, 948, 948, 948, 949, 949, 949, 949, 950, 950, 950, 950, 950, 950, 950, 951, 951, 951, 951, 951, 951, 952, 952, 952, 952, 952, 952, 953, 953, 953, 953, 953, 953, 953, 953, 954, 954, 954, 954, 955, 955, 955, 955, 955, 955, 955, 956, 956, 956, 956, 956, 956, 957, 957, 957, 957, 957, 958, 958, 958, 958, 959, 959, 959, 959, 959, 960, 960, 960, 960, 960, 960, 961, 961, 961, 961, 962, 962, 962, 962, 962, 962, 963, 963, 963, 963, 963, 963, 963, 964, 964, 964, 964, 964, 965, 965, 965, 965, 966, 966, 966, 966, 967, 967, 967, 967, 967, 967, 968, 968, 968, 968, 968, 969, 969, 969, 969, 969, 969, 969, 970, 970, 970, 970, 970, 970, 970, 971, 971, 971, 971, 971, 971, 972, 972, 972, 972, 972, 973, 973, 973, 973, 974, 974, 974, 974, 974, 975, 975, 975, 975, 975, 976, 976, 976, 976, 976, 977, 977, 977, 977, 978, 978, 978, 978, 978, 978, 979, 979, 979, 979, 979, 980, 980, 980, 980, 980, 980, 981, 981, 981, 981, 981, 982, 982, 982, 982, 982, 982, 983, 983, 983, 983, 983, 983, 983, 984, 984, 984, 984, 984, 985, 985, 985, 985, 985, 985, 985, 986, 986, 986, 986, 986, 986, 986, 986, 987, 987, 987, 987, 987, 987, 987, 988, 988, 988, 988, 988, 989, 989, 989, 989, 989, 989, 990, 990, 990, 990, 990, 990, 991, 991, 991, 991, 991, 991, 991, 992, 992, 992, 992, 992, 992, 992, 993, 993, 993, 993, 993, 993, 994, 994, 994, 994, 994, 994, 994, 995, 995, 995, 995, 995, 995, 995, 996, 996, 996, 996, 996, 996, 996, 997, 997, 997, 997, 997, 997, 998, 998, 998, 998, 998, 999, 999, 999, 999, 999, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 1001, 1001, 1001, 1001, 1001, 1002, 1002, 1002, 1002, 1002, 1002, 1002, 1003, 1003, 1003, 1003, 1003, 1004, 1004, 1004, 1004, 1004, 1004, 1005, 1005, 1005, 1005, 1005, 1005, 1005, 1006, 1006, 1006, 1006, 1006, 1006, 1006, 1007, 1007, 1007, 1007, 1007, 1007, 1008, 1008, 1008, 1008, 1008, 1009, 1009, 1009, 1009, 1009, 1010, 1010, 1010, 1010, 1010, 1011, 1011, 1011, 1011, 1012, 1012, 1012, 1012, 1012, 1012, 1012, 1013, 1013, 1013, 1013, 1013, 1014, 1014, 1014, 1014, 1015, 1015, 1015, 1015, 1015, 1016, 1016, 1016, 1016, 1016, 1017, 1017, 1017, 1017, 1018, 1018, 1018, 1018, 1018, 1018, 1019, 1019, 1019, 1019, 1019, 1020, 1020, 1020, 1020, 1021, 1021, 1021, 1021, 1021, 1021, 1022, 1022, 1022, 1022, 1022, 1022, 1022, 1023, 1023, 1023, 1023, 1024, 1024, 1024, 1024, 1025, 1025, 1025, 1026, 1026, 1026, 1027, 1027, 1029, 1032, 1034, 1035] ===================================================================================================== Calculating for 2019-12-10:00 Calculating for 2019-12-10:06 Calculating for 2019-12-10:12 Calculating for 2019-12-10:18 Calculating for 2019-12-11:00 Calculating for 2019-12-11:06 Calculating for 2019-12-11:12 Calculating for 2019-12-11:18 ===================================================================================================== Making Graphics... Done! ``` ![png](../imgs/time_series_uv-220_OmF_all_levels_byLevels.png) ![png](../imgs/time_series_uv-220_OmA_all_levels_byLevels.png) Finalizado o uso dos arquivos, feche-os para liberar a memória utilizada: ```python linenums="1" for file in gdf_list: file.close() ``` ## Radiância Nesta seção apresentam-se as funções do `readDiag` construídas e modificadas para acesso aos arquivos de diagnóstico da radiância gerados pelo GSI. ### A Classe `read_diag` A classe `read_diag` não foi alterada. Abaixo as ferramentas desta classe são utilizadas como exemplo para visualização do diagnóstico de dados de radiância. ### A Classe `plot_diag` Na classe `plot_diag` as funções abaixo foram construídas ou modificadas para leitura e análise dos dados de radiância: 1. `plot(self, varName, varType, param, minVal=None, maxVal=None, mask=None, area=None, **kwargs)`: a função `plot` gera uma figura para a variável `varName` (ex: `amsua`), `varType` (ex: `n19` (satélite)) e `param`, que pode ser várias opções como: `param="obs"` para o valor da observação, `param="omf"` para observação menos background ou `param="oma"` para observação menos análise. Foram inseridas as variáveis opicionais `minVal` e `maxVal` para fixar o range de cores do colormap. Também é possível mascarar os dados com as variáveis `iuse` e `idqc`, que indicam se o dado de radiância foi (`iuse>=1 & idqc=0`) assimilado ou rejeitado (`iuse>=1 & idqc!=0`), ou ainda, se o dado é monitorado (`iuse=-1`). Utilizando o `mask` ainda é possível especificar o canal `nchan` (nº do canal). Abaixo há um exemplo executado para `varName="amsua"`, `varType="n19"`, `param="obs"` e `mask="(nchan==14) & (iuse >= 1 & idqc == 0)"`;
2. `time_series_radi(self, varName=None, varType=None, mask=None, dateIni=None, dateFin=None, nHour="06", vminOMA=None, vmaxOMA=None, vminSTD=0.0, vmaxSTD=14.0, channel=None, Clean=None)`: a função `time_series_radi` gera figuras que mostram a variação temporal das médias e desvios padrões dos parâmetros OmF e OmA dos dados de radiância. Essa função pode ser utilizada considerando-se três situações: quando `channel` é o nº de um canal (4 Figuras são geradas utilizando apenas as observações do canal espeificado), quando `channel` é uma lista de canais (6 diagramas de *Hovmoller* são criados considerando apenas os canais listados) e quando `channel` é `None` (são gerados 6 diagramas de *Hovmoller* considerando todos os canais disponíveis (1 à 15)). A seguir são apresentados os parâmetros de entrada na função. | Parâmetro | Exemplo | Descrição | | :--- | :---: | :--- | | `self` | `['/home/user/diag_amsua_n19_01.2024020100']` | Lista com todos os caminhos completos (`caminho/nome_do_arquivo`) de cada tempo da série temporal. | | `varName` | `amsua` | Nome da variável | | `varType` | `n19` | Tipo da variável | | `dateIni` | `2024020100` | Data inicial da série temporal | | `dateFin` | `2024020218` | Data final da série temporal | | `nHour` | `6` | Intervalo de tempo em horas entre cada arquivo na lista `self` | | `vminOMA` | `-2.0` | Valor mínimo da escala y (ordenada) para OmF e OmA | | `vmaxOMA` | `2.0` | Valor máximo da escala y (ordenada) para OmF e OmA | | `vminSTD` | `0.0` | Valor mínimo da escala y (ordenada) para o desvio-padrão | | `vmaxSTD` | `14.0` | Valor máximo da escala y (ordenada) para o desvio-padrão | | `channel` | `14` | Valor(es) do canal a ser feita a série temporal, opções: valor numérico referente ao canal, ex.: `14` para plotar um canal; `[6, 9, 10, 13, 14]` para plotar uma lista de canais específica; `None` para plotar todos os canais. | | `Clean` | `True` ou `False` | Se `True`, após gerar e salvar a figura, a janela da figura é reiniciada (`plt.clf()`) ou fechada (`plt.close()`), se `False`, este procedimento é eliminado e a figura continua disponível para visualização com `plt.show()`. | 3. `statcount(self, varName=None, varType=None, noiqc=False, dateIni=None, dateFin=None, nHour="06", channel=None, figTS=False, figMap=False, **kwargs)`: a função `statcount` gera dois tipos de figuras. Se `figTS` é `True` uma figura com a série temporal da quantidade de dados assimilados, rejeitados e monitorados é gerada. Se `figMap` é `True` uma sequência temporal de figuras indicando no mapa a geolocalização das observações assimiladas, rejeitadas e monitoradas são produzidas. Nesta função, quando os dados são de radiância, a variável `channel` recebe o número específico de um canal e quando se trata de dados convencionais a variável `channel` deve ser `None`. Quando `channel = nº canal` os dados monitorados (`iuse=-1`) são subclassificados em dois grupos: observações monitoradas que seriam assimiladas (monitorado-assimilado) pois, `idqc=0` e observações monitoradas que seriam rejeitadas (monitorado-rejeitado) pois, `idqc!=0`. Logo, para os dados de radiância, se `figMap=True` podem ser geradas duas figuras, uma com a geolocalização das observações assimiladas e rejeitadas e outra com a geolocalização das observações monitoradas-assimiladas e monitoradas-rejeitadas. A variável `noiqc` é um parâmetro da lista de nomes do GSI sendo utilizada na classificação dos dados convencionais e pode receber os valores `True` ou `False` (não interfere na classificação da radiância). Abaixo há um exemplo executado para `varName="amsua"`, `varType="n19"`, `noiqc=False`, `dateIni="2024020100"`, `dateFin="2024020218"`, `nHour="06"`, `channel=6`, `figTS=True`, `figMap=True`. `figMap=True`

`figTS=True`

No decorrer deste notebook são mostrados exemplos com recortes de código para exemplificar o uso das funções acima elencadas. ### Utilização da classe `read_diag` #### Bibliotecas necessárias Para iniciar a utilização do `readDiag`, carregue primeiro as bibliotecas necessárias para a sua utilização: * `gsidiag`: é a biblioteca que contém as classes `read_diag` e `plot_diag`; * `pandas`: é a biblioteca que fornece as estruturas de dados tabulados utilizadas pelo `readDiag`; * `matplotlib`: é a biblioteca a partir da qual são confeccionadas as figuras; * `datetime`: é a biblioteca utilizada para manipular datas; * `datasources`: é a biblioteca utilizada para analisar e armazenar informações de um arquivo contendo dados de observações; * `os`: é a biblioteca que fornece diversas interfaces do sistema operacional. A instrução `%matplotlib inline` é um comando mágico do Jupyter e apenas ajusta o ambiente para que não seja necessário utilizar o comando `plt.show()` sempre que figuras forem mostradas dentro do notebook. Se você estiver utilizando o `readDiag` dentro de um script Python, esta diretiva pode ser suprimida e o comando `plt.show()` deve ser utilizado, a depender da situação. ```python linenums="1" import gsidiag as gd import pandas as pd import matplotlib.pyplot as plt from datetime import datetime, timedelta from gsidiag.datasources import getVarInfo import os %matplotlib inline ``` #### Variáveis principais Na tabela a seguir, estão relacionadas os valores padrão das variáveis utilizadas ao longo deste tutorial. Observe que as variáveis possuem diferentes tipos e que algumas podem ser declaradas como `None`. | Variáveis | | Valores | Tipo | | :---: |:---:| :--- | :--- | | `DIRdiag` | = | `/pesq/share/das/dist/joao.gerd/EXP18/GSI/dataout` | string | |`varName` | = | `amsua` | string | |`varType` | = | `n19` | **string** | |`dateIni` | = | `2024021000` | string | |`dateFin` | = | `2024021018` | string | |`nHour` | = | `6` | string | |`vminOMA` | = | `-2.0` | float | |`vmaxOMA` | = | `2.0` | float | |`vminSTD` | = | `0.0` | float | |`vmaxSTD` | = | `14.0` | float | |`channel` | = | `6` | integer ou `None` | Dessa forma, na célula a seguir são ajustadas as variáveis seguindo os valores da tabela acima. Além disso, são ajustados também os valores das datas para compor o caminho e os nomes dos arquivos de diagnóstico do GSI: !!! tip "Dica" Para testar as funcionalidades do readDiag relacionadas com as radiâncias, baixe os arquivos a seguir dentro do diretório `data` da sua instalação do readDiag: ```bash linenums="1" cd readDiag/data wget https://dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19_amsua.tar.gz wget https://dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19_conv_0201.tar.gz wget https://dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19_conv_0202.tar.gz tar -zxvf SMNAexp19_amsua.tar.gz tar -zxvf SMNAexp19_conv_0201.tar.gz tar -zxvf SMNAexp19_conv_0202.tar.gz ``` === "Comando" ```python linenums="1" DIRdiag = os.path.join(os.getcwd(), '../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout') varName = 'amsua' varType = 'n19' dateIni = '2024020100' dateFin = '2024020218' nHour = '6' vminOMA = -2.0 vmaxOMA = 2.0 vminSTD = 0.0 vmaxSTD = 14.0 channel = 6 datei = datetime.strptime(str(dateIni), '%Y%m%d%H') datef = datetime.strptime(str(dateFin), '%Y%m%d%H') dates = [dates.strftime('%Y%m%d%H') for dates in pd.date_range(datei, datef,freq='6H').tolist()] print(dates) ``` === "Resultado" ``` ['2024020100', '2024020106', '2024020112', '2024020118', '2024020200', '2024020206', '2024020212', '2024020218'] ``` Gerando as variáveis `path` e `pathc` onde estarão os caminhos completos (incluindo nome do arquivo) dos arquivos diagnósticos do primeiro (OmF) e último (OmA) outer loop dos dados de radiância: === "Comando" ```python linenums="1" paths, pathsc = [], [] OuterL = '01' [paths.append(DIRdiag + '/' + dt + '/diag_' + varName +'_'+ varType +'_' + OuterL + '.' + dt) for dt in dates] OuterLc = '03' [pathsc.append(DIRdiag + '/' + dt + '/diag_' + varName +'_'+ varType +'_' + OuterLc + '.' + dt) for dt in dates] print(paths) print('') print(pathsc) ``` === "Resultado" ``` ['/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020100/diag_amsua_n19_01.2024020100', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020106/diag_amsua_n19_01.2024020106', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020112/diag_amsua_n19_01.2024020112', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020118/diag_amsua_n19_01.2024020118', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020200/diag_amsua_n19_01.2024020200', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020206/diag_amsua_n19_01.2024020206', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020212/diag_amsua_n19_01.2024020212', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020218/diag_amsua_n19_01.2024020218'] ['/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020100/diag_amsua_n19_03.2024020100', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020106/diag_amsua_n19_03.2024020106', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020112/diag_amsua_n19_03.2024020112', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020118/diag_amsua_n19_03.2024020118', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020200/diag_amsua_n19_03.2024020200', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020206/diag_amsua_n19_03.2024020206', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020212/diag_amsua_n19_03.2024020212', '/extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020218/diag_amsua_n19_03.2024020218'] ``` #### Leitura dos arquivos de diagnósticos Lendo os arquivos diagnósticos de radiância com a função `read_diag()` do pacote `readDiag`. No trecho de código a seguir, observe que a função `read_diag()` é utilizada dentro de um loop que varia sobre todos os arquivos das listas `paths` e `pathsc` definidas no passo anterior. No final do loop, é gerada a lista `gdf_list` que conterá todos os arquivos lidos pelo `readDiag`: === "Comando" ```python linenums="1" read = True if read: gdf_list = [] print('') print('Aguarde, o tempo total estimado para a leitura dos arquivos é de ' + str(int((float(len(paths))*20)/60)) + ' minutos e ' + str(int((float(len(paths))*20)%60)) + ' segundos.') print('') for path, pathc in zip(paths, pathsc): print('Reading ' + path) gdf = gd.read_diag(path, pathc) gdf_list.append(gdf) print('Pronto!') ``` === "Resultado" ``` Aguarde, o tempo total estimado para a leitura dos arquivos é de 2 minutos e 40 segundos. Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020100/diag_amsua_n19_01.2024020100 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020106/diag_amsua_n19_01.2024020106 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020112/diag_amsua_n19_01.2024020112 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020118/diag_amsua_n19_01.2024020118 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020200/diag_amsua_n19_01.2024020200 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020206/diag_amsua_n19_01.2024020206 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020212/diag_amsua_n19_01.2024020212 >>> GSI DIAG <<< Reading /extra3/GitHub/readDiag.issuefix_27/notebooks/../data/dataserver.cptec.inpe.br/dataserver_dimnt/das/testecase/SMNAexp19/GSI/dataout/2024020218/diag_amsua_n19_01.2024020218 >>> GSI DIAG <<< Pronto! ``` A variável `gdf_list` é uma lista de dataframes contendo os dados de cada arquivo diagnóstico. Para trabalhar com um único tempo basta informar a lista com o índice fixo, por exemplo: `gdf_list[0]`: === "Comando" ```python linenums="1" gdf_list ``` === "Resultado" ``` [, , , , , , , ] ``` Fazendo `tidx = 0`, obtemos o primeiro objeto da lista `gdf_list`: === "Comando" ```python linenums="1" tidx = 0 gdf_list[tidx] ``` === "Resultado" ``` ``` #### Obtendo informações dos arquivos Utilize a função `pfileinfo()` para obter informação como o tipo de sensor e seu respectivo satélite (`n19`) que estão contidos dentro do arquivo: === "Comando" ```python linenums="1" gdf_list[tidx].pfileinfo() ``` === "Resultado" ``` Variable Name : amsua └── kx => n19 ``` Além do método `pfileinfo()`, outros métodos e funções também podem ser utilizados para acessar as informações sobre os arquivos abertos. Para obter uma lista dos métodos e funções disponíveis, digite `gdf_list[tidx].` e pressione a tecla `` duas vezes no teclado: ```python linenums="1" >>> gdf_list[tidx]. gdf_list[tidx].close( gdf_list[tidx].obsInfo gdf_list[tidx].pfileinfo( gdf_list[tidx].zlevs gdf_list[tidx].tocsv( gdf_list[tidx].overview( gdf_list[tidx].varNames gdf_list[tidx].obs ``` Para obter um dicionário com todas as informações sobre as variáveis e tipos contidos no arquivo, utilize o método `obsInfo`: === "Comando" ```python linenums="1" gdf_list[tidx].obsInfo ``` === "Resultado" ``` {'amsua': lat lon elev nchan time iuse idqc \ SatId points n19 0 -87.446198 6.644900 2647.032227 1.0 2.885000 1.0 8.0 1 -87.446198 6.644900 2647.032227 2.0 2.885000 1.0 8.0 2 -87.446198 6.644900 2647.032227 3.0 2.885000 1.0 8.0 3 -87.446198 6.644900 2647.032227 4.0 2.885000 1.0 8.0 4 -87.446198 6.644900 2647.032227 5.0 2.885000 1.0 8.0 ... ... ... ... ... ... ... ... 137830 56.754601 336.250885 0.055578 11.0 -1.522778 1.0 0.0 137831 56.754601 336.250885 0.055578 12.0 -1.522778 1.0 0.0 137832 56.754601 336.250885 0.055578 13.0 -1.522778 1.0 0.0 137833 56.754601 336.250885 0.055578 14.0 -1.522778 4.0 0.0 137834 56.754601 336.250885 0.055578 15.0 -1.522778 1.0 51.0 inverr oer obs omf omf_nobc emiss \ SatId points n19 0 0.000000 NaN 187.330002 2.591137 -7.817700 0.813564 1 0.000000 NaN 189.190002 4.114823 -3.598879 0.801515 2 0.000000 NaN 211.460007 -1.666820 2.795111 0.791668 3 0.000000 NaN 225.820007 0.495127 -0.318058 0.791438 4 0.000000 NaN 229.089996 0.241357 -1.846274 0.790830 ... ... ... ... ... ... ... 137830 2.499857 0.400023 219.949997 0.632804 -0.609745 0.856901 137831 1.817697 0.550150 219.039993 0.488474 -0.474023 0.856901 137832 1.248405 0.801043 217.449997 -1.116789 -1.843264 0.856901 137833 0.248456 4.025372 219.979996 -0.762485 -0.762485 0.856901 137834 0.000000 NaN 229.039993 -23.291994 -41.154434 0.950000 oma oma_nobc imp dfs \ SatId points n19 0 2.803686 -7.640147 NaN NaN 1 4.388880 -3.414203 NaN NaN 2 -1.364057 3.049402 NaN NaN 3 0.594996 -0.230114 NaN NaN 4 0.297319 -1.806047 NaN NaN ... ... ... ... ... 137830 0.451392 -0.792813 -0.491687 -0.286979 137831 0.409210 -0.554484 -0.129336 -0.070378 137832 -0.789088 -1.543222 -0.779681 -0.456870 137833 0.452604 0.452604 -0.093540 -0.230162 137834 -23.673958 -41.430882 NaN NaN geometry SatId points n19 0 POINT (6.64490 -87.44620) 1 POINT (6.64490 -87.44620) 2 POINT (6.64490 -87.44620) 3 POINT (6.64490 -87.44620) 4 POINT (6.64490 -87.44620) ... ... 137830 POINT (-23.74915 56.75460) 137831 POINT (-23.74915 56.75460) 137832 POINT (-23.74915 56.75460) 137833 POINT (-23.74915 56.75460) 137834 POINT (-23.74915 56.75460) [137835 rows x 18 columns]} ``` Para acessar uma variável específica (ex: `amsua`), faça: === "Comando" ```python linenums="1" print('Variável: ', varName) gdf_list[tidx].obsInfo[varName] ``` === "Resultado" Variável: amsua | | |lat |lon |elev |nchan|time |iuse|idqc | inverr|oer |obs |omf |omf_nobc |emiss |oma |oma_nobc |imp |dfs |geometry | | | | | | | | | | | | | | | | | | | | | | |**SatId**| **points**| | | | | | | | | | | | | | | | | | | | n19| 0| -87.446198| 6.644900| 2647.032227| 1.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 187.330002| 2.591137| -7.817700| 0.813564| 2.803686| -7.640147| NaN| NaN| POINT (6.64490 -87.44620)| | | 1| -87.446198| 6.644900| 2647.032227| 2.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 189.190002| 4.114823| -3.598879| 0.801515| 4.388880| -3.414203| NaN| NaN| POINT (6.64490 -87.44620)| | | 2| -87.446198| 6.644900| 2647.032227| 3.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 211.460007| -1.666820| 2.795111| 0.791668| -1.364057| 3.049402| NaN| NaN| POINT (6.64490 -87.44620)| | | 3| -87.446198| 6.644900| 2647.032227| 4.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 225.820007| 0.495127| -0.318058| 0.791438| 0.594996| -0.230114| NaN| NaN| POINT (6.64490 -87.44620)| |... | | | | | | | | | | | | | | | | | | | | | | 137832| 56.754601| 336.250885| 0.055578| 13.0| -1.522778| 1.0| 0.0| 1.248405| 0.801043| 217.449997| -1.116789| -1.843264| 0.856901| -0.789088| -1.543222| -0.779681| -0.456870| POINT (-23.74915 56.75460)| | | 137833| 56.754601| 336.250885| 0.055578| 14.0| -1.522778| 4.0| 0.0| 0.248456| 4.025372| 219.979996| -0.762485| -0.762485| 0.856901| 0.452604| 0.452604| -0.093540| -0.230162| POINT (-23.74915 56.75460)| | | 137834| 56.754601| 336.250885| 0.055578| 15.0| -1.522778| 1.0| 51.0| 0.000000| NaN| 229.039993| -23.291994| -41.154434| 0.950000| -23.673958| -41.430882| NaN| NaN| POINT (-23.74915 56.75460)| 137835 rows × 18 columns Para acessar variável e tipo específicos (ex: `amsua` do tipo `n19`), faça: === "Comando" ```python linenums="1" print('Variável: ', varName, ' e Tipo: ', varType) gdf_list[tidx].obsInfo[varName].loc[varType] ``` === "Resultado" | |lat |lon |elev |nchan|time |iuse|idqc | inverr|oer |obs |omf |omf_nobc |emiss |oma |oma_nobc |imp |dfs |geometry | | | | | | | | | | | | | | | | | | | | | | **points**| | | | | | | | | | | | | | | | | | | | 0| -87.446198| 6.644900| 2647.032227| 1.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 187.330002| 2.591137| -7.817700| 0.813564| 2.803686| -7.640147| NaN| NaN| POINT (6.64490 -87.44620)| | 1| -87.446198| 6.644900| 2647.032227| 2.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 189.190002| 4.114823| -3.598879| 0.801515| 4.388880| -3.414203| NaN| NaN| POINT (6.64490 -87.44620)| | 2| -87.446198| 6.644900| 2647.032227| 3.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 211.460007| -1.666820| 2.795111| 0.791668| -1.364057| 3.049402| NaN| NaN| POINT (6.64490 -87.44620)| | 3| -87.446198| 6.644900| 2647.032227| 4.0 | 2.885000| 1.0| 8.0| 0.000000| NaN| 225.820007| 0.495127| -0.318058| 0.791438| 0.594996| -0.230114| NaN| NaN| POINT (6.64490 -87.44620)| |... | | | | | | | | | | | | | | | | | | | | 137832| 56.754601| 336.250885| 0.055578| 13.0| -1.522778| 1.0| 0.0| 1.248405| 0.801043| 217.449997| -1.116789| -1.843264| 0.856901| -0.789088| -1.543222| -0.779681| -0.456870| POINT (-23.74915 56.75460)| | 137833| 56.754601| 336.250885| 0.055578| 14.0| -1.522778| 4.0| 0.0| 0.248456| 4.025372| 219.979996| -0.762485| -0.762485| 0.856901| 0.452604| 0.452604| -0.093540| -0.230162| POINT (-23.74915 56.75460)| | 137834| 56.754601| 336.250885| 0.055578| 15.0| -1.522778| 1.0| 51.0| 0.000000| NaN| 229.039993| -23.291994| -41.154434| 0.950000| -23.673958| -41.430882| NaN| NaN| POINT (-23.74915 56.75460)| 137835 rows × 18 columns Para acessar o valor da observação, utilize o método `obs`: === "Comando" ```python linenums="1" print('Variável: ', varName, ' e Tipo: ', varType) gdf_list[tidx].obsInfo[varName].loc[varType].obs ``` === "Resultado" ``` Variável: amsua e Tipo: n19 [13]: points 0 187.330002 1 189.190002 2 211.460007 3 225.820007 4 229.089996 ... 137830 219.949997 137831 219.039993 137832 217.449997 137833 219.979996 137834 229.039993 Name: obs, Length: 137835, dtype: float32 ``` Para acessar o valor do controle de qualidade da observação em um canal específico, utilize o método idqc com a instrução `mask` na função query: === "Comando" ```python linenums="1" mask = 'nchan == 2' gdf_list[tidx].obsInfo[varName].query(mask).loc[varType].idqc ``` === "Resultado" ``` points 1 8.0 16 8.0 31 51.0 46 51.0 61 51.0 ... 137761 51.0 137776 51.0 137791 51.0 137806 51.0 137821 51.0 Name: idqc, Length: 9189, dtype: float32 ``` ### Utilização da classe `plot_diag` #### Distribuição espacial A utilização das funções da classe `plot_diag` que foram alteradas/construídas para diagnóstico de dados de **radiância** é apresentada abaixo, junto com os comandos para gerar diversos tipos de figuras. Gerando uma figura com os valores das observações (`param='obs'`) para a variável e tipo selecionados: === "Comando" ```python linenums="1" param = 'obs' gd.plot_diag.plot(gdf_list[tidx], varName=varName, varType=varType, param=param, mask="(nchan=="+str(channel)+") & (iuse >= 1 & idqc == 0)", markersize=4.80, legend='true') ``` === "Resultado" ![png](../imgs/amsua_n19_obs_CH14_2024020100_plot_0.png) #### Histograma As funções `pcount()` e `vcount()` da classe `plot_diag` também podem ser utilizadas para obter um histograma com a contagem do número de observações para a variável, porém, no caso da **radiância**, como há apenas os dados de uma variável (sensor) e um tipo (satélite) nos arquivos, ambas as funções geram o mesmo histograma com uma única coluna: === "Comando" ```python linenums="1" gd.plot_diag.pcount(gdf_list[tidx], varName) ``` === "Resultado" ![png](../imgs/pcount.png) Utilize a função `vcount()` da classe `plot_diag` para obter um histograma com a contagem do número de observações para todos os tipos de variáveis: === "Comando" ```python linenums="1" gd.plot_diag.vcount(gdf_list[tidx]) ``` === "Resultado" ![png](../imgs/vcount2.png) #### Série temporal A seguir são apresentadas as opções de figuras com a função `time_series_radi()` (nova função), incluída na classe `plot_diag`. Inicialmente é gerada uma figura com os parâmetros já fixados nesta seção. Em seguida são apresentadas figuras alterando o parâmetro `channel`. Plotando uma série temporal do OmA e OmF para os dados do canal setado na célula de definição das variáveis: === "Comando" ```python linenums="1" gd.plot_diag.time_series_radi(gdf_list, varName=varName, varType=varType, mask='idqc==0 & iuse>=1', dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, channel=channel, Clean=False) ``` === "Resultado" ``` ============================================================================================================= Variable: amsua || type: n19 || Radiance - AMSU-A - NOAA-19. || check: OmF ============================================================================================================= Preparing data for: 2024-02-01:00 - Channel de radiancia: 6 Preparing data for: 2024-02-01:06 - Channel de radiancia: 6 Preparing data for: 2024-02-01:12 - Channel de radiancia: 6 Preparing data for: 2024-02-01:18 - Channel de radiancia: 6 Preparing data for: 2024-02-02:00 - Channel de radiancia: 6 Preparing data for: 2024-02-02:06 - Channel de radiancia: 6 Preparing data for: 2024-02-02:12 - Channel de radiancia: 6 Preparing data for: 2024-02-02:18 - Channel de radiancia: 6 ============================================================================================================= channels = [6] Calculating for 2024-02-01:00 Calculating for 2024-02-01:06 Calculating for 2024-02-01:12 Calculating for 2024-02-01:18 Calculating for 2024-02-02:00 Calculating for 2024-02-02:06 Calculating for 2024-02-02:12 Calculating for 2024-02-02:18 ============================================================================================================= Making Graphics... Done! ``` ![png](../imgs/ts1.png) ![png](../imgs/ts2.png) ![png](../imgs/ts3.png) ![png](../imgs/ts4.png) No caso anterior, o parâmetro `channel` estava fixo no canal 6. Os valores de vminOMA, vmaxOMA, vminSTD e vmaxSTD, fixados inicialmente, são alterados para melhorar a visualização da série temporal. === "Comando" ```python linenums="1" vminOMA = -0.5 vmaxOMA = 0.5 vminSTD = 0.0 vmaxSTD = 1.0 gd.plot_diag.time_series_radi(gdf_list, varName=varName, varType=varType, mask='idqc==0 & iuse>=1', dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, channel=channel, Clean=False) ``` === "Resultado" ``` ============================================================================================================= Variable: amsua || type: n19 || Radiance - AMSU-A - NOAA-19. || check: OmF ============================================================================================================= Preparing data for: 2024-02-01:00 - Channel de radiancia: 6 Preparing data for: 2024-02-01:06 - Channel de radiancia: 6 Preparing data for: 2024-02-01:12 - Channel de radiancia: 6 Preparing data for: 2024-02-01:18 - Channel de radiancia: 6 Preparing data for: 2024-02-02:00 - Channel de radiancia: 6 Preparing data for: 2024-02-02:06 - Channel de radiancia: 6 Preparing data for: 2024-02-02:12 - Channel de radiancia: 6 Preparing data for: 2024-02-02:18 - Channel de radiancia: 6 ============================================================================================================= channels = [6] Calculating for 2024-02-01:00 Calculating for 2024-02-01:06 Calculating for 2024-02-01:12 Calculating for 2024-02-01:18 Calculating for 2024-02-02:00 Calculating for 2024-02-02:06 Calculating for 2024-02-02:12 Calculating for 2024-02-02:18 ============================================================================================================= Making Graphics... Done! ``` ![png](../imgs/ts5.png) ![png](../imgs/ts6.png) ![png](../imgs/ts7.png) ![png](../imgs/ts8.png) Agora, a variável `channel` é alterada para considerar mais de um canal. A opção `channel = None` busca os dados em cada canal existente nos arquivos e faz um diagrama de *Hovmoller* com as médias, desvios padrão e quantidade de dados assimilados em todos os canais (observe que os valores no eixo y (ordenada) identifica todos os canais de 1 à 15). Quando `channel` é uma lista específica de canais, indicada pelo usuário, o diagrama de *Hovmoller* é construído apenas com os canais indicados pelo usuário. Dessa forma, pode-se utilizar o parâmetro `channels=[6,10,11,12,13,14]` para produzir uma série temporal para mais de um canal: === "Comando" ```python linenums="1" channels = [6, 10, 11, 12, 13, 14] gd.plot_diag.time_series_radi(gdf_list, varName=varName, varType=varType, mask='idqc==0 & iuse>=1', dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, channel=channels, Clean=False) ``` === "Resultado" ``` ============================================================================================================= Variable: amsua || type: n19 || Radiance - AMSU-A - NOAA-19. || check: OmF ============================================================================================================= Preparing data for: Canais de radiancia2024-02-01:00 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-01:06 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-01:12 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-01:18 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-02:00 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-02:06 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-02:12 Channels: [6, 10, 11, 12, 13, 14] Preparing data for: Canais de radiancia2024-02-02:18 Channels: [6, 10, 11, 12, 13, 14] ============================================================================================================= channels = [6, 10, 11, 12, 13, 14] Calculating for 2024-02-01:00 Calculating for 2024-02-01:06 Calculating for 2024-02-01:12 Calculating for 2024-02-01:18 Calculating for 2024-02-02:00 Calculating for 2024-02-02:06 Calculating for 2024-02-02:12 Calculating for 2024-02-02:18 ============================================================================================================= Making Graphics... Done! ``` ![png](../imgs/hov1.png) ![png](../imgs/hov2.png) ![png](../imgs/hov3.png) ![png](../imgs/hov4.png) Considerando todos os canais, ou seja, `channel = None`: === "Comando" ```python linenums="1" channel = None gd.plot_diag.time_series_radi(gdf_list, varName=varName, varType=varType, mask='idqc==0 & iuse>=1', dateIni=dateIni, dateFin=dateFin, nHour=nHour, vminOMA=vminOMA, vmaxOMA=vmaxOMA, vminSTD=vminSTD, vmaxSTD=vmaxSTD, channel=channel, Clean=False) ``` === "Resultado" ``` ============================================================================================================= Variable: amsua || type: n19 || Radiance - AMSU-A - NOAA-19. || check: OmF ============================================================================================================= Preparing data for: Canais de radiancia2024-02-01:00 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-01:06 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-01:12 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-01:18 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-02:00 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-02:06 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-02:12 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Preparing data for: Canais de radiancia2024-02-02:18 Channels: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] ============================================================================================================= channels = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Calculating for 2024-02-01:00 Calculating for 2024-02-01:06 Calculating for 2024-02-01:12 Calculating for 2024-02-01:18 Calculating for 2024-02-02:00 Calculating for 2024-02-02:06 Calculating for 2024-02-02:12 Calculating for 2024-02-02:18 ============================================================================================================= Making Graphics... Done! ``` ![png](../imgs/hov5.png) ![png](../imgs/hov6.png) ![png](../imgs/hov7.png) #### STATCOUNT A seguir são apresentadas as opções de figuras obtidas pela função `statcount()`. A função `statcount()` fornece dois tipos de figuras: com `figMap=True` é possível gerar uma sequência de imagens com os pontos geográficos das observações assimiladas, rejeitadas e monitoradas em um período de tempo `dateIni` à `dateFin` com intervalo de tempo `nHour`. Uma outra figura contendo uma série temporal da quantidade de dados assimilados, rejeitados e monitorados é gerada se `figTS=True`. Quando os arquivos utilizados são de **radiância**, deve-se atribuir a variável `channel` o número do canal desejado (`channel=6`), enquanto que, se os dados analisados forem convencionais a variável `channel` deve receber `None` (`channel=None`). Nos dados de **radiância** a classificação dos dados em assimilado, rejeitado e monitorado é realizada considerando dois tipos de observações monitoradas: 1. monitorado-assimilado: observações que são monitoradas, `iuse = -1`, que poderiam ser assimiladas pois `idqc = 0`. 2. monitorado-rejeitado: observações que são monitoradas, `iuse = -1`, que poderiam ser rejeitadas pois `idqc != 0`. A tabela abaixo detalha como a classificação dos dados de **radiância** é realizada. | | idqc | iuse | | :--- |:---: | :--- | | Assimilated | == 0 | >= 1 | | Monitored-assimilated | == 0 | >= -1 and < 1 | | Monitored-rejected | != 0 | >= -1 and < 1 | | Rejected | != 0 | >= 1 | A seguir um exemplo que gera uma sequência de figuras com a geolocalização dos dados de **radiância** assimilados, rejeitados e monitorados (`figMap=True`) em um intervalo de tempo dentro do período de dados carregado no início do notebook. === "Comando" ```python linenums="1" channel = 6 dateIni = '2024020100' dateFin = '2024020118' gd.plot_diag.statcount(gdf_list, varName=varName, varType=varType, noiqc=False, dateIni=dateIni, dateFin=dateFin, nHour=nHour, channel=channel, figTS=False, figMap=True, markersize=4.80) ``` === "Resultado" ![png](../imgs/statc1.png) ![png](../imgs/statc2.png) ![png](../imgs/statc3.png) ![png](../imgs/statc4.png) Quando `figTS=True` apenas uma figura com a série temporal da quantidade de dados assimilados, rejeitados e monitorados é retornada. === "Comando" ```python linenums="1" channel = 6 dateIni = '2024020100' dateFin = '2024020218' gd.plot_diag.statcount(gdf_list, varName=varName, varType=varType, noiqc=False, dateIni=dateIni, dateFin=dateFin, nHour=nHour, channel=channel, figTS=True, figMap=False, markersize=4.80) channel = 8 gd.plot_diag.statcount(gdf_list, varName=varName, varType=varType, noiqc=False, dateIni=dateIni, dateFin=dateFin, nHour=nHour, channel=channel, figTS=True, figMap=False, markersize=4.80) ``` === "Resultado" ![png](../imgs/statc5.png) ![png](../imgs/statc6.png) Finalizado o uso dos arquivos, feche-os para liberar a memória utilizada: ```python linenums="1" for file in gdf_list: if file._FNumber != None: file.close() ``` O `readDiag` é um pacote em desenvolvimento e em constante atualização. Novas funcionalidades serão adicionadas e demonstradas por meio deste notebook.